open-llm-leaderboard-old/details_vihangd__dopeyshearedplats-1.3b-v1

该数据集是在模型vihangd/dopeyshearedplats-1.3b-v1在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由63个配置组成，每个配置对应一个评估任务。数据集是从1次运行中创建的，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命名。train分割始终指向最新的结果。此外，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

该数据集是在对模型 vihangd/dopeyshearedplats-1.3b-v1 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。数据集包含 63 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，每次运行的详细信息可以在每个配置的特定分片中找到，分片名称使用运行的时间戳。"train" 分片始终指向最新的结果。

数据集结构

数据集包含以下配置：

• harness_arc_challenge_25
• harness_gsm8k_5
• harness_hellaswag_10
• harness_hendrycksTest_5

每个配置包含多个分片，包括特定时间戳的分片和最新的分片。

数据加载示例

以下是加载数据集详细信息的示例代码：

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_vihangd__dopeyshearedplats-1.3b-v1", "harness_winogrande_5", split="train")

最新结果

以下是 最新结果 的摘要：

python { "all": { "acc": 0.26012302704770085, "acc_stderr": 0.030820336255728206, "acc_norm": 0.2621303940455793, "acc_norm_stderr": 0.031589269063273896, "mc1": 0.2460220318237454, "mc1_stderr": 0.01507721920066259, "mc2": 0.3821066604136214, "mc2_stderr": 0.015269097668070952 }, "harness|arc:challenge|25": { "acc": 0.3225255972696246, "acc_stderr": 0.013659980894277368, "acc_norm": 0.3438566552901024, "acc_norm_stderr": 0.013880644570156215 }, "harness|hellaswag|10": { "acc": 0.4848635729934276, "acc_stderr": 0.004987494455523719, "acc_norm": 0.6430989842660825, "acc_norm_stderr": 0.004781061390873926 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.2, "acc_stderr": 0.034554737023254394, "acc_norm": 0.2, "acc_norm_stderr": 0.034554737023254394 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3223684210526316, "acc_stderr": 0.03803510248351585, "acc_norm": 0.3223684210526316, "acc_norm_stderr": 0.03803510248351585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.25660377358490566, "acc_stderr": 0.026880647889051958, "acc_norm": 0.25660377358490566, "acc_norm_stderr": 0.026880647889051958 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.037455547914624576, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.037455547914624576 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.23, "acc_stderr": 0.042295258468165044, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.23, "acc_stderr": 0.04229525846816507, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816507 }, "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": 0.23699421965317918, "acc_stderr": 0.03242414757483099, "acc_norm": 0.23699421965317918, "acc_norm_stderr": 0.03242414757483099 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2549019607843137, "acc_stderr": 0.04336432707993177, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.04336432707993177 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.23, "acc_stderr": 0.04229525846816508, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816508 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3404255319148936, "acc_stderr": 0.03097669299853443, "acc_norm": 0.3404255319148936, "acc_norm_stderr": 0.03097669299853443 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.21379310344827587, "acc_stderr": 0.03416520447747549, "acc_norm": 0.21379310344827587, "acc_norm_stderr": 0.03416520447747549 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25132275132275134, "acc_stderr": 0.022340482339643898, "acc_norm": 0.25132275132275134, "acc_norm_stderr": 0.022340482339643898 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.20634920634920634, "acc_stderr": 0.036196045241242515, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.036196045241242515 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.27419354838709675, "acc_stderr": 0.025378139970885196, "acc_norm": 0.27419354838709675, "acc_norm_stderr": 0.025378139970885196 }, "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": 0.28484848484848485, "acc_stderr": 0.03524390844511784, "acc_norm": 0.28484848484848485, "acc_norm_stderr": 0.03524390844511784 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2777777777777778, "acc_stderr": 0.031911782267135466, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.031911782267135466 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.25906735751295334, "acc_stderr": 0.03161877917935409, "acc_norm": 0.25906735751295334, "acc_norm_stderr": 0.03161877917935409 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.3128205128205128, "acc_stderr": 0.023507579020645333, "acc_norm": 0.3128205128205128, "acc_norm_stderr": 0.023507579020645333 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.25555555555555554, "acc_stderr": 0.026593939101844082, "acc_norm": 0.25555555555555554, "acc_norm_stderr":