open-llm-leaderboard/details_KnutJaegersberg__galactica-orca-wizardlm-1.3b

该数据集是在模型 KnutJaegersberg/galactica-orca-wizardlm-1.3b 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由61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，每次运行作为每个配置中的特定分割，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。README 还提供了一个 Python 代码片段来加载运行中的详细信息，并列出了特定运行的最新结果。

This dataset was automatically created during the evaluation run of the model KnutJaegersberg/galactica-orca-wizardlm-1.3b on the Open LLM Leaderboard. The dataset comprises 61 configurations, each corresponding to one evaluated task. The dataset was constructed from a single evaluation run, with each specific split under every configuration named using the timestamp of the run. The 'train' split always points to the most recent results. An additional configuration named 'results' stores all aggregated results of the run, which are used to calculate and display the aggregate metrics on the Open LLM Leaderboard. The README also provides a Python code snippet for loading detailed information from the run, and lists the latest results of the specific evaluation run.

原始信息汇总

数据集概述

该数据集是在评估模型 KnutJaegersberg/galactica-orca-wizardlm-1.3b 的过程中自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 61 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，每个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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_KnutJaegersberg__galactica-orca-wizardlm-1.3b", "harness_truthfulqa_mc_0", split="train")

最新结果

以下是 最新结果 的摘要：

python { "all": { "acc": 0.2607167828475717, "acc_stderr": 0.031890976655530354, "acc_norm": 0.2619942427603414, "acc_norm_stderr": 0.03190140774792886, "mc1": 0.25458996328029376, "mc1_stderr": 0.015250117079156494, "mc2": 0.41268090479367026, "mc2_stderr": 0.015430187488430076 }, "harness|arc:challenge|25": { "acc": 0.27303754266211605, "acc_stderr": 0.013019332762635727, "acc_norm": 0.30887372013651876, "acc_norm_stderr": 0.013501770929344004 }, "harness|hellaswag|10": { "acc": 0.32065325632344155, "acc_stderr": 0.004657738398900916, "acc_norm": 0.3601872137024497, "acc_norm_stderr": 0.004790734683704583 }, "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": 0.2814814814814815, "acc_stderr": 0.038850042458002526, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.038850042458002526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.24342105263157895, "acc_stderr": 0.034923496688842384, "acc_norm": 0.24342105263157895, "acc_norm_stderr": 0.034923496688842384 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.26037735849056604, "acc_stderr": 0.027008766090708104, "acc_norm": 0.26037735849056604, "acc_norm_stderr": 0.027008766090708104 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3333333333333333, "acc_stderr": 0.03942082639927213, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.03942082639927213 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.17, "acc_stderr": 0.03775251680686371, "acc_norm": 0.17, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.19, "acc_stderr": 0.03942772444036623, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2774566473988439, "acc_stderr": 0.03414014007044036, "acc_norm": 0.2774566473988439, "acc_norm_stderr": 0.03414014007044036 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237655, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237655 }, "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": 0.028809989854102963, "acc_norm": 0.26382978723404255, "acc_norm_stderr": 0.028809989854102963 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2543859649122807, "acc_stderr": 0.040969851398436716, "acc_norm": 0.2543859649122807, "acc_norm_stderr": 0.040969851398436716 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.3310344827586207, "acc_stderr": 0.03921545312467122, "acc_norm": 0.3310344827586207, "acc_norm_stderr": 0.03921545312467122 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2830687830687831, "acc_stderr": 0.023201392938194974, "acc_norm": 0.2830687830687831, "acc_norm_stderr": 0.023201392938194974 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.19047619047619047, "acc_stderr": 0.035122074123020534, "acc_norm": 0.19047619047619047, "acc_norm_stderr": 0.035122074123020534 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2161290322580645, "acc_stderr": 0.02341529343356852, "acc_norm": 0.2161290322580645, "acc_norm_stderr": 0.02341529343356852 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.23645320197044334, "acc_stderr": 0.029896114291733552, "acc_norm": 0.23645320197044334, "acc_norm_stderr": 0.029896114291733552 }, "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": 0.23030303030303031, "acc_stderr": 0.03287666758603489, "acc_norm": 0.23030303030303031, "acc_norm_stderr": 0.03287666758603489 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.20707070707070707, "acc_stderr": 0.028869778460267063, "acc_norm": 0.20707070707070707, "acc_norm_stderr": 0.028869778460267063 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22279792746113988, "acc_stderr": 0.03003114797764154, "acc_norm": 0.22279792746113988, "acc_norm_stderr": 0.03003114797764154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.31794871794871793, "acc_stderr": 0.023610884308927865, "acc_norm": 0.31794871794871793, "acc_norm_stderr": 0.023610884308927865 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2777777777777778, "acc_stderr": 0.027309140588230182, "acc_