open-llm-leaderboard/details_PulsarAI__CollectiveCognition-v1.1-Nebula-7B

该数据集是在Open LLM Leaderboard上对模型PulsarAI/CollectiveCognition-v1.1-Nebula-7B进行评估时自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。它包含1次运行的结果，每次运行都作为一个特定的分割，分割名称由运行的时间戳命名。train分割始终指向最新的结果。此外，还有一个results配置存储了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。README还提供了如何使用`datasets`库中的`load_dataset`函数加载数据集的示例。

This dataset was automatically generated during the evaluation of the model PulsarAI/CollectiveCognition-v1.1-Nebula-7B on the Open LLM Leaderboard. It consists of 64 configurations, each corresponding to a single evaluation task. The dataset holds the results of multiple evaluation runs, where each run constitutes a dedicated data split, with the split name being the timestamp of the corresponding run. The `train` split always references the most up-to-date evaluation results. Furthermore, a dedicated `results` configuration stores the aggregated results across all runs, which are used to calculate and present the aggregate metrics displayed on the Open LLM Leaderboard. The accompanying README also provides usage examples for loading the dataset via the `load_dataset` function from the `datasets` library.

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PulsarAI/CollectiveCognition-v1.1-Nebula-7B进行评估运行时自动创建的，评估运行在Open LLM Leaderboard上进行。

数据集组成

• 数据集包含64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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_PulsarAI__CollectiveCognition-v1.1-Nebula-7B_public", "harness_winogrande_5", split="train")

最新结果

以下是2023-11-12T21:42:17.063541运行的最新结果：

python { "all": { "acc": 0.5655902624582015, "acc_stderr": 0.033540567370804734, "acc_norm": 0.5747445580416879, "acc_norm_stderr": 0.03431067576831402, "mc1": 0.38555691554467564, "mc1_stderr": 0.01703883901059167, "mc2": 0.5353024010333743, "mc2_stderr": 0.015743888224866397, "em": 0.35675335570469796, "em_stderr": 0.004905829488253491, "f1": 0.4216977768456382, "f1_stderr": 0.0047367493845716785 }, "harness|arc:challenge|25": { "acc": 0.5324232081911263, "acc_stderr": 0.014580637569995421, "acc_norm": 0.5810580204778157, "acc_norm_stderr": 0.014418106953639013 }, "harness|hellaswag|10": { "acc": 0.6309500099581756, "acc_stderr": 0.004815613144385404, "acc_norm": 0.8239394542919737, "acc_norm_stderr": 0.0038009327705977565 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5986842105263158, "acc_stderr": 0.03988903703336284, "acc_norm": 0.5986842105263158, "acc_norm_stderr": 0.03988903703336284 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.43, "acc_stderr": 0.04975698519562428, "acc_norm": 0.43, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6188679245283019, "acc_stderr": 0.029890609686286623, "acc_norm": 0.6188679245283019, "acc_norm_stderr": 0.029890609686286623 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6319444444444444, "acc_stderr": 0.040329990539607175, "acc_norm": 0.6319444444444444, "acc_norm_stderr": 0.040329990539607175 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.38, "acc_stderr": 0.04878317312145632, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145632 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.049999999999999996, "acc_norm": 0.45, "acc_norm_stderr": 0.049999999999999996 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5433526011560693, "acc_stderr": 0.03798106566014498, "acc_norm": 0.5433526011560693, "acc_norm_stderr": 0.03798106566014498 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.04576665403207763, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.04576665403207763 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.49361702127659574, "acc_stderr": 0.03268335899936337, "acc_norm": 0.49361702127659574, "acc_norm_stderr": 0.03268335899936337 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5448275862068965, "acc_stderr": 0.04149886942192117, "acc_norm": 0.5448275862068965, "acc_norm_stderr": 0.04149886942192117 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3915343915343915, "acc_stderr": 0.02513809138885108, "acc_norm": 0.3915343915343915, "acc_norm_stderr": 0.02513809138885108 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6483870967741936, "acc_stderr": 0.027162537826948458, "acc_norm": 0.6483870967741936, "acc_norm_stderr": 0.027162537826948458 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.45320197044334976, "acc_stderr": 0.03502544650845872, "acc_norm": 0.45320197044334976, "acc_norm_stderr": 0.03502544650845872 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7333333333333333, "acc_stderr": 0.03453131801885417, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.03453131801885417 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8238341968911918, "acc_stderr": 0.02749350424454806, "acc_norm": 0.8238341968911918, "acc_norm_stderr": 0.02749350424454806 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5615384615384615, "acc_stderr": 0.025158266016868592, "acc_norm": 0.56153846153