open-llm-leaderboard/details_crumb__gpt2023

该数据集是在Open LLM Leaderboard上对模型crumb/gpt2023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。数据集由2次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了所有运行的聚合结果，并用于在Open LLM Leaderboard上计算和显示聚合指标。

This dataset was automatically created during the evaluation of the model crumb/gpt2023 on the Open LLM Leaderboard. It consists of 64 configurations, each corresponding to one evaluation task. The dataset is generated from two evaluation runs, with the results of each run serving as a split under its corresponding configuration, where the split name uses the timestamp of the run. The 'train' split always points to the most recent evaluation results. Additionally, there is a configuration named 'results' that stores the aggregated results from all runs and is used to calculate and display the aggregated metrics on the Open LLM Leaderboard.

原始信息汇总

数据集概述

数据集简介

该数据集是在模型crumb/gpt2023在Open LLM Leaderboard上的评估运行期间自动创建的。

数据集结构

• 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2次运行中创建，每次运行可以在每个配置中作为一个特定的分割找到，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，用于计算和显示在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_crumb__gpt2023", "harness_winogrande_5", split="train")

最新结果

以下是2023-10-24T11:33:48.204905运行的最新结果： python { "all": { "em": 0.0012583892617449664, "em_stderr": 0.0003630560893119132, "f1": 0.04730285234899332, "f1_stderr": 0.0013435226639105919, "acc": 0.25210824971442214, "acc_stderr": 0.007783509925876781 }, "harness|drop|3": { "em": 0.0012583892617449664, "em_stderr": 0.0003630560893119132, "f1": 0.04730285234899332, "f1_stderr": 0.0013435226639105919 }, "harness|gsm8k|5": { "acc": 0.003032600454890068, "acc_stderr": 0.0015145735612245494 }, "harness|winogrande|5": { "acc": 0.5011838989739542, "acc_stderr": 0.014052446290529012 } }

配置详情

以下是数据集的配置详情：

• harness_arc_challenge_25

  • 分割: 2023_10_11T08_30_54.655929
    • 路径: **/details_harness|arc:challenge|25_2023-10-11T08-30-54.655929.parquet
  • 分割: latest
    • 路径: **/details_harness|arc:challenge|25_2023-10-11T08-30-54.655929.parquet

• harness_drop_3

  • 分割: 2023_10_24T11_33_48.204905
    • 路径: **/details_harness|drop|3_2023-10-24T11-33-48.204905.parquet
  • 分割: latest
    • 路径: **/details_harness|drop|3_2023-10-24T11-33-48.204905.parquet

• harness_gsm8k_5

  • 分割: 2023_10_24T11_33_48.204905
    • 路径: **/details_harness|gsm8k|5_2023-10-24T11-33-48.204905.parquet
  • 分割: latest
    • 路径: **/details_harness|gsm8k|5_2023-10-24T11-33-48.204905.parquet

• harness_hellaswag_10

  • 分割: 2023_10_11T08_30_54.655929
    • 路径: **/details_harness|hellaswag|10_2023-10-11T08-30-54.655929.parquet
  • 分割: latest
    • 路径: **/details_harness|hellaswag|10_2023-10-11T08-30-54.655929.parquet

• harness_hendrycksTest_5

  • 分割: 2023_10_11T08_30_54.655929
    • 路径:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-astronomy|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-business_ethics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_biology|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_chemistry|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_computer_science|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_mathematics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_medicine|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-college_physics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-computer_security|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-conceptual_physics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-econometrics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-electrical_engineering|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-formal_logic|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-global_facts|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_biology|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_european_history|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_geography|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_physics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_psychology|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_statistics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_us_history|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-high_school_world_history|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-human_aging|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-human_sexuality|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-international_law|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-jurisprudence|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-logical_fallacies|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-machine_learning|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-management|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-marketing|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-medical_genetics|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-miscellaneous|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-moral_disputes|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-moral_scenarios|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-nutrition|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-philosophy|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-prehistory|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-professional_accounting|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-professional_law|5_2023-10-11T08-30-54.655929.parquet
      • **/details_harness|hendrycksTest-professional_medicine|5_2023-10