open-llm-leaderboard/details_TheBloke__airoboros-33B-gpt4-1-4-SuperHOT-8K-fp16

该数据集是在评估模型TheBloke/airoboros-33B-gpt4-1-4-SuperHOT-8K-fp16时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集由60个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，每次运行都可以在每个配置的特定分割中找到，分割名称使用运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个名为results的配置，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 TheBloke/airoboros-33B-gpt4-1-4-SuperHOT-8K-fp16 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：60个配置，每个配置对应一个评估任务。
• 创建来源：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割存在，分割名称使用运行的时间戳。
• 最新结果："train" 分割始终指向最新的结果。
• 汇总结果：一个额外的配置 "results" 存储所有运行的汇总结果，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_TheBloke__airoboros-33B-gpt4-1-4-SuperHOT-8K-fp16", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 2023-08-22T21:17:33.530104 运行的最新结果：

python { "all": { "acc": 0.23623967517263394, "acc_stderr": 0.03091679562106068, "acc_norm": 0.23734838989030832, "acc_norm_stderr": 0.030928364256296522, "mc1": 0.22031823745410037, "mc1_stderr": 0.014509045171487283, "mc2": 0.4792055778955594, "mc2_stderr": 0.016809354273525978 }, "harness|arc:challenge|25": { "acc": 0.23037542662116042, "acc_stderr": 0.01230492841874761, "acc_norm": 0.26023890784982934, "acc_norm_stderr": 0.012821930225112554 }, "harness|hellaswag|10": { "acc": 0.2709619597689703, "acc_stderr": 0.0044354815159093975, "acc_norm": 0.30651264688309104, "acc_norm_stderr": 0.004601029188459098 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.25925925925925924, "acc_stderr": 0.03785714465066653, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.03785714465066653 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.17763157894736842, "acc_stderr": 0.031103182383123398, "acc_norm": 0.17763157894736842, "acc_norm_stderr": 0.031103182383123398 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.22264150943396227, "acc_stderr": 0.025604233470899095, "acc_norm": 0.22264150943396227, "acc_norm_stderr": 0.025604233470899095 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036844, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036844 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.20809248554913296, "acc_stderr": 0.030952890217749874, "acc_norm": 0.20809248554913296, "acc_norm_stderr": 0.030952890217749874 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.26382978723404255, "acc_stderr": 0.028809989854102973, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102973 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.0414243971948936, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.0414243971948936 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135302, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135302 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.20899470899470898, "acc_stderr": 0.02094048156533486, "acc_norm": 0.20899470899470898, "acc_norm_stderr": 0.02094048156533486 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04040610178208841, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04040610178208841 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.18, "acc_stderr": 0.038612291966536934, "acc_norm": 0.18, "acc_norm_stderr": 0.038612291966536934 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.267741935483871, "acc_stderr": 0.025189006660212378, "acc_norm": 0.267741935483871, "acc_norm_stderr": 0.025189006660212378 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.15763546798029557, "acc_stderr": 0.025639014131172404, "acc_norm": 0.15763546798029557, "acc_norm_stderr": 0.025639014131172404 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.22424242424242424, "acc_stderr": 0.03256866661681102, "acc_norm": 0.22424242424242424, "acc_norm_stderr": 0.03256866661681102 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18686868686868688, "acc_stderr": 0.027772533334218977, "acc_norm": 0.18686868686868688, "acc_norm_stderr": 0.027772533334218977 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.18652849740932642, "acc_stderr": 0.028112091210117485, "acc_norm": 0.18652849740932642, "acc_norm_stderr": 0.028112091210117485 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2076923076923077, "acc_stderr": 0.020567539567246797, "acc_norm": 0.2076923076923077, "acc_norm_stderr": 0.020567539567246797 }, "harness|hendry