open-llm-leaderboard-old/details_nonetrix__pippafeet-11B-0.1

该数据集是在模型 nonetrix/pippafeet-11B-0.1 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 63 个配置组成，每个配置对应一个评估任务。它包含一次运行的结果，每次运行在每个配置中表示为特定的分割。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，这些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 Hugging Face datasets 库加载数据集的示例。

原始信息汇总

数据集概述

该数据集是在对模型 nonetrix/pippafeet-11B-0.1 进行评估运行期间自动创建的。数据集包含 63 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，每个运行可以在每个配置中找到一个特定的分割，分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。

数据集结构

配置

• results: 存储所有运行结果的聚合，用于计算和显示在 Open LLM Leaderboard 上的聚合指标。

配置示例

• harness_arc_challenge_25:

  • 分割: 2024_03_30T15_51_02.149490
  • 路径: **/details_harness|arc:challenge|25_2024-03-30T15-51-02.149490.parquet
  • 分割: latest
  • 路径: **/details_harness|arc:challenge|25_2024-03-30T15-51-02.149490.parquet

• harness_gsm8k_5:

  • 分割: 2024_03_30T15_51_02.149490
  • 路径: **/details_harness|gsm8k|5_2024-03-30T15-51-02.149490.parquet
  • 分割: latest
  • 路径: **/details_harness|gsm8k|5_2024-03-30T15-51-02.149490.parquet

• harness_hellaswag_10:

  • 分割: 2024_03_30T15_51_02.149490
  • 路径: **/details_harness|hellaswag|10_2024-03-30T15-51-02.149490.parquet
  • 分割: latest
  • 路径: **/details_harness|hellaswag|10_2024-03-30T15-51-02.149490.parquet

• harness_hendrycksTest_5:

  • 分割: 2024_03_30T15_51_02.149490
  • 路径:
    • **/details_harness|hendrycksTest-abstract_algebra|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-anatomy|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-astronomy|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-business_ethics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_biology|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_chemistry|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_computer_science|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_mathematics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_medicine|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-college_physics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-computer_security|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-conceptual_physics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-econometrics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-electrical_engineering|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-formal_logic|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-global_facts|5_2024-03-30T15-51-02.149490.parquet
    • **/details_harness|hendrycksTest-high_school_biology|5_2024-03-30T15-51-02.149490.parquet

最新结果

以下是 2024-03-30T15:51:02.149490 运行的最新结果：

python { "all": { "acc": 0.6469088218775146, "acc_stderr": 0.03245673715801616, "acc_norm": 0.6529590705079754, "acc_norm_stderr": 0.033126178689089555, "mc1": 0.44063647490820074, "mc1_stderr": 0.01737969755543745, "mc2": 0.6511753475490039, "mc2_stderr": 0.01537753405754558 }, "harness|arc:challenge|25": { "acc": 0.5930034129692833, "acc_stderr": 0.014356399418009123, "acc_norm": 0.636518771331058, "acc_norm_stderr": 0.014056207319068285 }, "harness|hellaswag|10": { "acc": 0.6297550288787094, "acc_stderr": 0.004818833521340357, "acc_norm": 0.8225453096992631, "acc_norm_stderr": 0.003812722285855774 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7039473684210527, "acc_stderr": 0.03715062154998905, "acc_norm": 0.7039473684210527, "acc_norm_stderr": 0.03715062154998905 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.028637235639800893, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.028637235639800893 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7777777777777778, "acc_stderr": 0.03476590104304134, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.049888765156985884, "acc_norm": 0.56, "acc_norm_stderr": 0.049888765156985884 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6820809248554913, "acc_stderr": 0.0355068398916558, "acc_norm": 0.6820809248554913, "acc_norm_stderr": 0.0355068398916558 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266346, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266346 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6042553191489362, "acc_stderr": 0.03196758697835363, "acc_norm": 0.6042553191489362, "acc_norm_stderr": 0.03196758697835363 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5263157894736842, "acc_stderr": 0.046970851366478626, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.046970851366478626 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5724137931034483, "acc_stderr": 0.04122737111370332, "acc_norm": 0.5724137931034483, "acc_norm_stderr": 0.04122737111370332 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.43915343915343913, "acc_stderr": 0.025559920550531003, "acc_norm": 0.43915343915343913, "acc_norm_stderr":