open-llm-leaderboard-old/details_bigcode-data__pile-1.3b

该数据集是在模型bigcode-data/pile-1.3b的评估运行期间自动创建的，用于Open LLM Leaderboard的评估。数据集由61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，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，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

数据集摘要

该数据集是在对模型 bigcode-data/pile-1.3b 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 该数据集包含 61 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一个特定的拆分，拆分名称使用运行的时间戳。
• "train" 拆分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 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_bigcode-data__pile-1.3b", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-08-27T11:45:25.415684 运行的最新结果：

python { "all": { "acc": 0.2670925459145178, "acc_stderr": 0.0321126082440487, "acc_norm": 0.26951995132086415, "acc_norm_stderr": 0.03212015072555486, "mc1": 0.23378212974296206, "mc1_stderr": 0.014816195991931578, "mc2": 0.3982550193068694, "mc2_stderr": 0.01422499198673612 }, "harness|arc:challenge|25": { "acc": 0.28668941979522183, "acc_stderr": 0.013214986329274763, "acc_norm": 0.31399317406143346, "acc_norm_stderr": 0.013562691224726286 }, "harness|hellaswag|10": { "acc": 0.4004182433778132, "acc_stderr": 0.004889817489739691, "acc_norm": 0.5163314080860386, "acc_norm_stderr": 0.004987119003151493 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.25925925925925924, "acc_stderr": 0.03785714465066655, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.03785714465066655 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2894736842105263, "acc_stderr": 0.036906779861372814, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.036906779861372814 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2641509433962264, "acc_stderr": 0.02713429162874169, "acc_norm": 0.2641509433962264, "acc_norm_stderr": 0.02713429162874169 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3583815028901734, "acc_stderr": 0.036563436533531585, "acc_norm": 0.3583815028901734, "acc_norm_stderr": 0.036563436533531585 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2647058823529412, "acc_stderr": 0.04389869956808779, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.04389869956808779 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.044084400227680814, "acc_norm": 0.26, "acc_norm_stderr": 0.044084400227680814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.23404255319148937, "acc_stderr": 0.027678452578212387, "acc_norm": 0.23404255319148937, "acc_norm_stderr": 0.027678452578212387 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.23684210526315788, "acc_stderr": 0.039994238792813365, "acc_norm": 0.23684210526315788, "acc_norm_stderr": 0.039994238792813365 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.25517241379310346, "acc_stderr": 0.03632984052707842, "acc_norm": 0.25517241379310346, "acc_norm_stderr": 0.03632984052707842 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2671957671957672, "acc_stderr": 0.02278967314577656, "acc_norm": 0.2671957671957672, "acc_norm_stderr": 0.02278967314577656 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.23809523809523808, "acc_stderr": 0.038095238095238126, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.038095238095238126 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.267741935483871, "acc_stderr": 0.025189006660212385, "acc_norm": 0.267741935483871, "acc_norm_stderr": 0.025189006660212385 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.26108374384236455, "acc_stderr": 0.030903796952114475, "acc_norm": 0.26108374384236455, "acc_norm_stderr": 0.030903796952114475 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.296969696969697, "acc_stderr": 0.03567969772268047, "acc_norm": 0.296969696969697, "acc_norm_stderr": 0.03567969772268047 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.3181818181818182, "acc_stderr": 0.03318477333845331, "acc_norm": 0.3181818181818182, "acc_norm_stderr": 0.03318477333845331 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.36787564766839376, "acc_stderr": 0.034801756684660366, "acc_norm": 0.36787564766839376, "acc_norm_stderr": 0.034801756684660366 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.27692307692307694, "acc_stderr": 0.022688042352424994, "acc_norm": 0.27692307692307694, "acc_norm_stderr": 0.022688042352424994 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24444444444444444, "acc_stderr": 0.026202766534652148, "acc_norm": 0.244