open-llm-leaderboard/details_llm-agents__tora-code-34b-v1.0

该数据集是在模型 llm-agents/tora-code-34b-v1.0 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 64 个配置组成，每个配置对应一个被评估的任务。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 代码加载运行中的详细信息的示例，并包含了特定运行的最新结果。

This dataset was automatically generated during the evaluation run of the model llm-agents/tora-code-34b-v1.0 on the Open LLM Leaderboard. It comprises 64 configurations, each corresponding to one evaluated task. The dataset is created through three separate runs, where each run is represented as a distinct split within every configuration, with split names using the timestamp of the corresponding 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 load detailed information about individual runs using Python code, and includes the latest results for specific runs.

原始信息汇总

数据集概述

数据集简介

该数据集是在评估模型 llm-agents/tora-code-34b-v1.0 在 Open LLM Leaderboard 上的自动创建的。数据集包含64个配置，每个配置对应一个评估任务。

数据集结构

数据集由3次运行结果组成，每次运行的结果可以在每个配置中找到，以运行的时间戳命名的特定分割形式存储。"train" 分割始终指向最新的结果。

额外配置

一个额外的配置 "results" 存储了所有运行的聚合结果，用于计算并在 Open LLM Leaderboard 上显示聚合指标。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_llm-agents__tora-code-34b-v1.0", "harness_winogrande_5", split="train")

最新结果

以下是 2024-01-04T21:49:30.893930 运行 的最新结果：

python { "all": { "acc": 0.46739279777981946, "acc_stderr": 0.034410091993572804, "acc_norm": 0.4720435067546776, "acc_norm_stderr": 0.03515712357620925, "mc1": 0.26193390452876375, "mc1_stderr": 0.015392118805015034, "mc2": 0.39617813653906875, "mc2_stderr": 0.01499031262059852 }, "harness|arc:challenge|25": { "acc": 0.47440273037542663, "acc_stderr": 0.014592230885298962, "acc_norm": 0.5025597269624573, "acc_norm_stderr": 0.014611199329843784 }, "harness|hellaswag|10": { "acc": 0.5683130850428202, "acc_stderr": 0.0049429906231311166, "acc_norm": 0.754829715196176, "acc_norm_stderr": 0.004293089342105424 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.0446196043338474, "acc_norm": 0.27, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3851851851851852, "acc_stderr": 0.042039210401562783, "acc_norm": 0.3851851851851852, "acc_norm_stderr": 0.042039210401562783 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.46710526315789475, "acc_stderr": 0.040601270352363966, "acc_norm": 0.46710526315789475, "acc_norm_stderr": 0.040601270352363966 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4867924528301887, "acc_stderr": 0.030762134874500482, "acc_norm": 0.4867924528301887, "acc_norm_stderr": 0.030762134874500482 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.4583333333333333, "acc_stderr": 0.04166666666666665, "acc_norm": 0.4583333333333333, "acc_norm_stderr": 0.04166666666666665 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "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": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4046242774566474, "acc_stderr": 0.03742461193887248, "acc_norm": 0.4046242774566474, "acc_norm_stderr": 0.03742461193887248 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2647058823529412, "acc_stderr": 0.04389869956808778, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.04389869956808778 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.046482319871173156, "acc_norm": 0.69, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3872340425531915, "acc_stderr": 0.03184389265339525, "acc_norm": 0.3872340425531915, "acc_norm_stderr": 0.03184389265339525 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.35964912280701755, "acc_stderr": 0.04514496132873633, "acc_norm": 0.35964912280701755, "acc_norm_stderr": 0.04514496132873633 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.46206896551724136, "acc_stderr": 0.041546596717075474, "acc_norm": 0.46206896551724136, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.024278568024307706, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.024278568024307706 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.31746031746031744, "acc_stderr": 0.04163453031302859, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.04163453031302859 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5, "acc_stderr": 0.028444006199428714, "acc_norm": 0.5, "acc_norm_stderr": 0.028444006199428714 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.35467980295566504, "acc_stderr": 0.03366124489051448, "acc_norm": 0.35467980295566504, "acc_norm_stderr": 0.03366124489051448 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.6, "acc_stderr": 0.04923659639173309, "acc_norm": 0.6, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.5757575757575758, "acc_stderr": 0.03859268142070264, "acc_norm": 0.5757575757575758, "acc_norm_stderr": 0.03859268142070264 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5707070707070707, "acc_stderr": 0.03526552724601199, "acc_norm": 0.5707070707070707, "acc_norm_stderr": 0.03526552724601199 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.616580310880829, "acc_stderr": 0.03508984236295342, "acc_norm": 0.616580310880829, "acc_norm_stderr": 0.03508984236295342 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.37435897435897436, "acc_stderr": 0.024537591572830513, "acc_norm": 0.37435897435897436, "acc_norm_stderr": 0.024537591572830513 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32222222222222224, "acc_stderr": 0.0284934650910286, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.0