open-llm-leaderboard/details_bigcode__starcoder

该数据集是在模型 bigcode/starcoder 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，每个配置对应一个被评估的任务。数据集由 4 次运行生成，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。

原始信息汇总

数据集概述

数据集摘要

该数据集是在对模型 bigcode/starcoder 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 121 个配置，每个配置对应一个评估任务。
• 数据集从 4 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_bigcode__starcoder", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-14T22:50:56.838467 运行的最新结果：

python { "all": { "acc": 0.2969189890806991, "acc_stderr": 0.03236365511067932, "acc_norm": 0.2979650690177265, "acc_norm_stderr": 0.033097159757475146, "mc1": 0.25091799265605874, "mc1_stderr": 0.015176985027707689, "mc2": 0.4130412207453783, "mc2_stderr": 0.014976467041499917 }, "harness|arc:challenge|25": { "acc": 0.28071672354948807, "acc_stderr": 0.013131238126975574, "acc_norm": 0.302901023890785, "acc_norm_stderr": 0.013428241573185349 }, "harness|hellaswag|10": { "acc": 0.37860983867755427, "acc_stderr": 0.004840493603166207, "acc_norm": 0.4787890858394742, "acc_norm_stderr": 0.004985289555586536 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.042295258468165044, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3037037037037037, "acc_stderr": 0.039725528847851375, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.039725528847851375 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.2894736842105263, "acc_stderr": 0.036906779861372814, "acc_norm": 0.2894736842105263, "acc_norm_stderr": 0.036906779861372814 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.36, "acc_stderr": 0.048241815132442176, "acc_norm": 0.36, "acc_norm_stderr": 0.048241815132442176 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.25660377358490566, "acc_stderr": 0.02688064788905197, "acc_norm": 0.25660377358490566, "acc_norm_stderr": 0.02688064788905197 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2986111111111111, "acc_stderr": 0.03827052357950756, "acc_norm": 0.2986111111111111, "acc_norm_stderr": 0.03827052357950756 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.23121387283236994, "acc_stderr": 0.032147373020294696, "acc_norm": 0.23121387283236994, "acc_norm_stderr": 0.032147373020294696 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3021276595744681, "acc_stderr": 0.030017554471880554, "acc_norm": 0.3021276595744681, "acc_norm_stderr": 0.030017554471880554 }, "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": 0.43448275862068964, "acc_stderr": 0.041307408795554966, "acc_norm": 0.43448275862068964, "acc_norm_stderr": 0.041307408795554966 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2328042328042328, "acc_stderr": 0.02176596167215453, "acc_norm": 0.2328042328042328, "acc_norm_stderr": 0.02176596167215453 }, "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": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24193548387096775, "acc_stderr": 0.024362599693031076, "acc_norm": 0.24193548387096775, "acc_norm_stderr": 0.024362599693031076 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.21674876847290642, "acc_stderr": 0.028990331252516235, "acc_norm": 0.21674876847290642, "acc_norm_stderr": 0.028990331252516235 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.3696969696969697, "acc_stderr": 0.03769430314512568, "acc_norm": 0.3696969696969697, "acc_norm_stderr": 0.03769430314512568 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.19696969696969696, "acc_stderr": 0.02833560973246335, "acc_norm": 0.19696969696969696, "acc_norm_stderr": 0.02833560973246335 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.24352331606217617, "acc_stderr": 0.030975436386845426, "acc_norm": 0.24352331606217617, "acc_norm_stderr": 0.030975436386845426 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24615384615384617, "acc_stderr": 0.021840866990423088, "acc_norm": 0.24615384615384617, "acc_norm_stderr": 0.021840866990423088 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085626, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0