open-llm-leaderboard/details_mosaicml__mpt-30b

该数据集是在模型mosaicml/mpt-30b在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由121个配置组成，每个配置对应一个评估任务。数据集由3次运行创建，每次运行在每个配置中表示为特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。一个名为results的额外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Python中的datasets库加载运行细节的示例。

This dataset was automatically created during the evaluation run of the model mosaicml/mpt-30b on the Open LLM Leaderboard. The dataset consists of 121 configurations, each corresponding to one evaluation task. It is generated from 3 runs, where each run is represented as a specific split under each configuration, with the split name using the timestamp of the run. The 'train' split always points to the most recent results. An additional configuration named 'results' stores the aggregated results across all runs, which are used to calculate and display the aggregate metrics on the Open LLM Leaderboard. The README also provides examples of how to use the datasets library in Python to load the run details.

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mosaicml/mpt-30b进行评估运行期间自动创建的，用于Open LLM Leaderboard。

数据集结构

• 配置数量：121个配置，每个配置对应一个评估任务。
• 运行次数：数据集从3次运行中创建。每个运行在每个配置中作为一个特定的分割存在，分割名称使用运行的时间戳。
• 分割：每个配置中的“train”分割始终指向最新的结果。
• 结果配置：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_mosaicml__mpt-30b", "harness_winogrande_5", split="train")

最新结果

以下是2023-12-04T21:16:10.122572运行的最新结果：

python { "all": { "acc": 0.48238773450038697, "acc_stderr": 0.03469207472678917, "acc_norm": 0.48716827364491283, "acc_norm_stderr": 0.03546745870449251, "mc1": 0.2582619339045288, "mc1_stderr": 0.015321821688476196, "mc2": 0.3841558252351552, "mc2_stderr": 0.013607507438444062 }, "harness|arc:challenge|25": { "acc": 0.5290102389078498, "acc_stderr": 0.014586776355294317, "acc_norm": 0.5597269624573379, "acc_norm_stderr": 0.014506769524804237 }, "harness|hellaswag|10": { "acc": 0.6195976897032464, "acc_stderr": 0.004844935327599206, "acc_norm": 0.8242381995618403, "acc_norm_stderr": 0.0037983950550215346 }, "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": 0.4888888888888889, "acc_stderr": 0.04318275491977976, "acc_norm": 0.4888888888888889, "acc_norm_stderr": 0.04318275491977976 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.40789473684210525, "acc_stderr": 0.03999309712777471, "acc_norm": 0.40789473684210525, "acc_norm_stderr": 0.03999309712777471 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4867924528301887, "acc_stderr": 0.030762134874500476, "acc_norm": 0.4867924528301887, "acc_norm_stderr": 0.030762134874500476 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5138888888888888, "acc_stderr": 0.04179596617581, "acc_norm": 0.5138888888888888, "acc_norm_stderr": 0.04179596617581 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4508670520231214, "acc_stderr": 0.037940126746970275, "acc_norm": 0.4508670520231214, "acc_norm_stderr": 0.037940126746970275 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.30392156862745096, "acc_stderr": 0.045766654032077636, "acc_norm": 0.30392156862745096, "acc_norm_stderr": 0.045766654032077636 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.6, "acc_stderr": 0.049236596391733084, "acc_norm": 0.6, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.41702127659574467, "acc_stderr": 0.03223276266711712, "acc_norm": 0.41702127659574467, "acc_norm_stderr": 0.03223276266711712 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2982456140350877, "acc_stderr": 0.04303684033537315, "acc_norm": 0.2982456140350877, "acc_norm_stderr": 0.04303684033537315 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3306878306878307, "acc_stderr": 0.02422996529842509, "acc_norm": 0.3306878306878307, "acc_norm_stderr": 0.02422996529842509 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.0404061017820884, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.0404061017820884 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5419354838709678, "acc_stderr": 0.028343787250540632, "acc_norm": 0.5419354838709678, "acc_norm_stderr": 0.028343787250540632 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.35467980295566504, "acc_stderr": 0.0336612448905145, "acc_norm": 0.35467980295566504, "acc_norm_stderr": 0.0336612448905145 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6, "acc_stderr": 0.03825460278380026, "acc_norm": 0.6, "acc_norm_stderr": 0.03825460278380026 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5959595959595959, "acc_stderr": 0.03496130972056128, "acc_norm": 0.5959595959595959, "acc_norm_stderr": 0.03496130972056128 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.6476683937823834, "acc_stderr": 0.03447478286414357, "acc_norm": 0.6476683937823834, "acc_norm_stderr": 0.03447478286414357 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.46923076923076923, "acc_stderr": 0.02530295889085015, "acc_norm": 0.46923076923076923, "acc_norm_stderr": 0.02530295889085015 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945284, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945284 }, "harness|hendrycksTest-high_school_microeconomics|