open-llm-leaderboard-old/details_Nexusflow__NexusRaven-V2-13B

该数据集是在Open LLM Leaderboard上对模型Nexusflow/NexusRaven-V2-13B进行评估时自动创建的。数据集由63个配置组成，每个配置对应一个被评估的任务。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。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

数据集简介

该数据集是在对模型 Nexusflow/NexusRaven-V2-13B 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集结构

• 配置数量：63个配置，每个配置对应一个评估任务。
• 运行次数：数据集从1次运行中创建。每个运行在每个配置中作为一个特定的分片存在，分片名称使用运行的时间戳。
• 训练分片："train" 分片始终指向最新的结果。
• 结果配置：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 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_Nexusflow__NexusRaven-V2-13B", "harness_winogrande_5", split="train")

最新结果

以下是 2023-12-11T01:31:11.054887 运行的最新结果：

python { "all": { "acc": 0.4488955038753255, "acc_stderr": 0.0344489486364852, "acc_norm": 0.4526483549559697, "acc_norm_stderr": 0.035198247944632347, "mc1": 0.2864137086903305, "mc1_stderr": 0.015826142439502356, "mc2": 0.4453595923052835, "mc2_stderr": 0.01505063472965778 }, "harness|arc:challenge|25": { "acc": 0.4232081911262799, "acc_stderr": 0.014438036220848039, "acc_norm": 0.4513651877133106, "acc_norm_stderr": 0.014542104569955264 }, "harness|hellaswag|10": { "acc": 0.5054769966142203, "acc_stderr": 0.004989482040610104, "acc_norm": 0.6739693288189603, "acc_norm_stderr": 0.004678006403691731 }, "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": 0.34814814814814815, "acc_stderr": 0.041153246103369526, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.041153246103369526 }, "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": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4, "acc_stderr": 0.03015113445777629, "acc_norm": 0.4, "acc_norm_stderr": 0.03015113445777629 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.375, "acc_stderr": 0.04048439222695598, "acc_norm": 0.375, "acc_norm_stderr": 0.04048439222695598 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.3815028901734104, "acc_stderr": 0.037038511930995194, "acc_norm": 0.3815028901734104, "acc_norm_stderr": 0.037038511930995194 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.18627450980392157, "acc_stderr": 0.03873958714149354, "acc_norm": 0.18627450980392157, "acc_norm_stderr": 0.03873958714149354 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.40425531914893614, "acc_stderr": 0.03208115750788684, "acc_norm": 0.40425531914893614, "acc_norm_stderr": 0.03208115750788684 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.30701754385964913, "acc_stderr": 0.04339138322579861, "acc_norm": 0.30701754385964913, "acc_norm_stderr": 0.04339138322579861 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5103448275862069, "acc_stderr": 0.04165774775728763, "acc_norm": 0.5103448275862069, "acc_norm_stderr": 0.04165774775728763 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.291005291005291, "acc_stderr": 0.02339382650048487, "acc_norm": 0.291005291005291, "acc_norm_stderr": 0.02339382650048487 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30158730158730157, "acc_stderr": 0.04104947269903394, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.04104947269903394 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.4483870967741935, "acc_stderr": 0.02829205683011273, "acc_norm": 0.4483870967741935, "acc_norm_stderr": 0.02829205683011273 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.32019704433497537, "acc_stderr": 0.032826493853041504, "acc_norm": 0.32019704433497537, "acc_norm_stderr": 0.032826493853041504 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "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": 0.5757575757575758, "acc_stderr": 0.035212249088415866, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.035212249088415866 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.5958549222797928, "acc_stderr": 0.03541508578884021, "acc_norm": 0.5958549222797928, "acc_norm_stderr": 0.03541508578884021 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3717948717948718, "acc_stderr": 0.024503472557110943, "acc_norm": 0.3717948717948718, "acc_norm_stderr": 0.024503472557110943 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02671924078371217, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02671924078371217 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.39915966386554624, "acc