open-llm-leaderboard-old/details_qblocks__falcon_7b_DolphinCoder

该数据集是自动生成的，用于评估模型qblocks/falcon_7b_DolphinCoder在Open LLM Leaderboard上的性能。数据集包含63个配置，每个配置对应一个特定的评估任务。数据集由一次运行创建，每个运行都有基于时间戳命名的特定分割。此外，还有一个名为results的配置，用于存储所有运行的聚合结果，并用于计算和显示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 qblocks/falcon_7b_DolphinCoder 进行评估运行期间自动创建的，用于 Open LLM Leaderboard 的评估。

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。
• 创建来源：从1次运行中创建，每次运行在每个配置中都有特定的分割，分割名称使用运行的时间戳。
• 训练分割："train" 分割始终指向最新的结果。
• 结果配置："results" 配置存储所有运行的聚合结果，用于计算和显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_qblocks__falcon_7b_DolphinCoder", "harness_winogrande_5", split="train")

最新结果

以下是2024年1月5日 08:20:23.826354 运行的最新结果： python { "all": { "acc": 0.28247468876632786, "acc_stderr": 0.03156556817285131, "acc_norm": 0.28312300073590296, "acc_norm_stderr": 0.032303512019122835, "mc1": 0.2252141982864137, "mc1_stderr": 0.014623240768023493, "mc2": 0.35117580451709535, "mc2_stderr": 0.013551047154306205 }, "harness|arc:challenge|25": { "acc": 0.45307167235494883, "acc_stderr": 0.014546892052005631, "acc_norm": 0.4872013651877133, "acc_norm_stderr": 0.014606603181012538 }, "harness|hellaswag|10": { "acc": 0.5855407289384584, "acc_stderr": 0.004916216503770337, "acc_norm": 0.7803226448914559, "acc_norm_stderr": 0.004131818797713878 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03820169914517905, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03820169914517905 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2565789473684211, "acc_stderr": 0.0355418036802569, "acc_norm": 0.2565789473684211, "acc_norm_stderr": 0.0355418036802569 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2830188679245283, "acc_stderr": 0.0277242364927009, "acc_norm": 0.2830188679245283, "acc_norm_stderr": 0.0277242364927009 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2013888888888889, "acc_stderr": 0.033536474697138406, "acc_norm": 0.2013888888888889, "acc_norm_stderr": 0.033536474697138406 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "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": 0.2254335260115607, "acc_stderr": 0.03186209851641144, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.03186209851641144 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.043364327079931785, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.043364327079931785 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.28936170212765955, "acc_stderr": 0.02964400657700962, "acc_norm": 0.28936170212765955, "acc_norm_stderr": 0.02964400657700962 }, "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": 0.3103448275862069, "acc_stderr": 0.03855289616378949, "acc_norm": 0.3103448275862069, "acc_norm_stderr": 0.03855289616378949 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.22486772486772486, "acc_stderr": 0.021502096078229147, "acc_norm": 0.22486772486772486, "acc_norm_stderr": 0.021502096078229147 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.24603174603174602, "acc_stderr": 0.03852273364924317, "acc_norm": 0.24603174603174602, "acc_norm_stderr": 0.03852273364924317 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24838709677419354, "acc_stderr": 0.024580028921481003, "acc_norm": 0.24838709677419354, "acc_norm_stderr": 0.024580028921481003 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.29064039408866993, "acc_stderr": 0.0319474007226554, "acc_norm": 0.29064039408866993, "acc_norm_stderr": 0.0319474007226554 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.26666666666666666, "acc_stderr": 0.03453131801885415, "acc_norm": 0.26666666666666666, "acc_norm_stderr": 0.03453131801885415 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.19696969696969696, "acc_stderr": 0.028335609732463345, "acc_norm": 0.19696969696969696, "acc_norm_stderr": 0.028335609732463345 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21761658031088082, "acc_stderr": 0.029778663037752937, "acc_norm": 0.21761658031088082, "acc_norm_stderr": 0.029778663037752937 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24871794871794872, "acc_stderr": 0.0219169577092138, "acc_norm": 0.24871794871794872, "acc_norm_stderr": 0.0219169577092138 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.026719240783712177, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.026719240783712177 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.2605042016806723, "acc_stderr": 0.028510251512341933, "acc_norm": 0.2605042016806723,