open-llm-leaderboard-old/details_beberik__rawr

该数据集是在Open LLM Leaderboard上对模型beberik/rawr进行评估时自动创建的。它由63个配置组成，每个配置对应一个评估任务。数据集来自1次运行，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。可以使用datasets库中的load_dataset函数加载数据集，指定数据集名称和所需的配置及分割。

原始信息汇总

数据集概述

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

• harness_arc_challenge_25

  • 分割：2023_12_30T05_23_31.388008, latest
  • 路径：**/details_harness|arc:challenge|25_2023-12-30T05-23-31.388008.parquet

• harness_gsm8k_5

  • 分割：2023_12_30T05_23_31.388008, latest
  • 路径：**/details_harness|gsm8k|5_2023-12-30T05-23-31.388008.parquet

• harness_hellaswag_10

  • 分割：2023_12_30T05_23_31.388008, latest
  • 路径：**/details_harness|hellaswag|10_2023-12-30T05-23-31.388008.parquet

• harness_hendrycksTest_5

  • 分割：2023_12_30T05_23_31.388008, latest
  • 路径：
    • **/details_harness|hendrycksTest-abstract_algebra|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-anatomy|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-astronomy|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-business_ethics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_biology|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_chemistry|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_computer_science|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_mathematics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_medicine|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-college_physics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-computer_security|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-conceptual_physics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-econometrics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-electrical_engineering|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-formal_logic|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-global_facts|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-high_school_biology|5_2023-12-30T05-23-31.388008.parquet
    • **/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-30T05-23-31.388008.parquet

最新结果

以下是 2023-12-30T05:23:31.388008 运行 的最新结果：

python { "all": { "acc": 0.6479677171016213, "acc_stderr": 0.031930945931820144, "acc_norm": 0.6502582495559832, "acc_norm_stderr": 0.03256812569958386, "mc1": 0.35862913096695226, "mc1_stderr": 0.016789289499502025, "mc2": 0.520672757948257, "mc2_stderr": 0.015405430705291837 }, "harness|arc:challenge|25": { "acc": 0.6168941979522184, "acc_stderr": 0.014206472661672876, "acc_norm": 0.6399317406143344, "acc_norm_stderr": 0.014027516814585188 }, "harness|hellaswag|10": { "acc": 0.656144194383589, "acc_stderr": 0.004740229212473455, "acc_norm": 0.848635729934276, "acc_norm_stderr": 0.0035767110656195903 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.045126085985421296, "acc_norm": 0.28, "acc_norm_stderr": 0.045126085985421296 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6296296296296297, "acc_stderr": 0.041716541613545426, "acc_norm": 0.6296296296296297, "acc_norm_stderr": 0.041716541613545426 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7169811320754716, "acc_stderr": 0.027724236492700918, "acc_norm": 0.7169811320754716, "acc_norm_stderr": 0.027724236492700918 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.75, "acc_stderr": 0.03621034121889507, "acc_norm": 0.75, "acc_norm_stderr": 0.03621034121889507 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "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": 0.4117647058823529, "acc_stderr": 0.04897104952726366, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726366 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5659574468085107, "acc_stderr": 0.03240038086792747, "acc_norm": 0.5659574468085107, "acc_norm_stderr": 0.03240038086792747 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04697085136647863, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04697085136647863 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.04154659671707548, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.04154659671707548 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3941798941798942, "acc_stderr": 0.025167982333894143, "acc_norm": 0.3941798941798942, "acc_norm_stderr": 0.025167982333894143 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4444444444444444, "acc_stderr": 0.0444444444444