open-llm-leaderboard-old/details_cognitivecomputations__TinyDolphin-2.8.1-1.1b

该数据集是在模型 cognitivecomputations/TinyDolphin-2.8.1-1.1b 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，每个配置对应一个被评估的任务。数据集是从 1 次运行中创建的，每次运行在每个配置中作为一个特定的分割找到，分割使用运行的时间戳命名。train 分割始终指向最新的结果。一个额外的配置 results 存储了运行的所有聚合结果，用于计算和显示 Open LLM Leaderboard 上的聚合指标。文件还提供了如何使用 Python 代码加载运行细节的示例，并包含了特定运行的最新结果。

原始信息汇总

数据集概述

该数据集是在评估模型cognitivecomputations/TinyDolphin-2.8.1-1.1b在Open LLM Leaderboard上的运行过程中自动创建的。

数据集组成

• 数据集包含63个配置，每个配置对应一个评估任务。
• 数据集由1次运行创建，每次运行可以在每个配置中找到特定的拆分，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。

加载数据示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_cognitivecomputations__TinyDolphin-2.8.1-1.1b", "harness_winogrande_5", split="train")

最新结果

以下是2024-01-25T09:58:55.785589的最新结果：

python { "all": { "acc": 0.25954316457863047, "acc_stderr": 0.030732800295881258, "acc_norm": 0.2606565852109988, "acc_norm_stderr": 0.03150616236747666, "mc1": 0.20807833537331702, "mc1_stderr": 0.01421050347357662, "mc2": 0.3550954012841355, "mc2_stderr": 0.014299607014922852 }, "harness|arc:challenge|25": { "acc": 0.3250853242320819, "acc_stderr": 0.013688147309729117, "acc_norm": 0.34982935153583616, "acc_norm_stderr": 0.013936809212158282 }, "harness|hellaswag|10": { "acc": 0.4654451304521012, "acc_stderr": 0.004977851161904398, "acc_norm": 0.6010754829715196, "acc_norm_stderr": 0.004886764243204046 }, "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": 0.2740740740740741, "acc_stderr": 0.03853254836552003, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.03853254836552003 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.20394736842105263, "acc_stderr": 0.032790004063100495, "acc_norm": 0.20394736842105263, "acc_norm_stderr": 0.032790004063100495 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.25660377358490566, "acc_stderr": 0.026880647889051965, "acc_norm": 0.25660377358490566, "acc_norm_stderr": 0.026880647889051965 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.19444444444444445, "acc_stderr": 0.03309615177059008, "acc_norm": 0.19444444444444445, "acc_norm_stderr": 0.03309615177059008 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.16, "acc_stderr": 0.03684529491774709, "acc_norm": 0.16, "acc_norm_stderr": 0.03684529491774709 }, "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": 0.2254335260115607, "acc_stderr": 0.03186209851641142, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.03186209851641142 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.17647058823529413, "acc_stderr": 0.03793281185307811, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.03793281185307811 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.27, "acc_stderr": 0.044619604333847415, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847415 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2765957446808511, "acc_stderr": 0.029241883869628817, "acc_norm": 0.2765957446808511, "acc_norm_stderr": 0.029241883869628817 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2894736842105263, "acc_stderr": 0.04266339443159394, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.04266339443159394 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2620689655172414, "acc_stderr": 0.036646663372252565, "acc_norm": 0.2620689655172414, "acc_norm_stderr": 0.036646663372252565 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02256989707491841, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02256989707491841 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.1746031746031746, "acc_stderr": 0.0339549002085611, "acc_norm": 0.1746031746031746, "acc_norm_stderr": 0.0339549002085611 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24838709677419354, "acc_stderr": 0.024580028921481006, "acc_norm": 0.24838709677419354, "acc_norm_stderr": 0.024580028921481006 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.270935960591133, "acc_stderr": 0.031270907132976984, "acc_norm": 0.270935960591133, "acc_norm_stderr": 0.031270907132976984 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.28, "acc_stderr": 0.04512608598542128, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2474747474747475, "acc_stderr": 0.030746300742124488, "acc_norm": 0.2474747474747475, "acc_norm_stderr": 0.030746300742124488 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22797927461139897, "acc_stderr": 0.030276909945178256, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.030276909945178256 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2153846153846154, "acc_stderr": 0.020843034557462878, "acc_norm": 0.2153846153846154, "acc_norm_stderr": 0.020843034557462878 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24814814814814815, "acc_stderr": 0.026335739404055803,