five

open-llm-leaderboard-old/details_LHC88__DPOpenHermes-7B-v2-PerfLaser

收藏
Hugging Face2024-02-13 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_LHC88__DPOpenHermes-7B-v2-PerfLaser
下载链接
链接失效反馈
官方服务：
资源简介：
该数据集是在评估模型LHC88/DPOpenHermes-7B-v2-PerfLaser在Open LLM Leaderboard上的表现时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。train分割始终指向最新的结果。此外，一个名为results的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。

该数据集是在评估模型LHC88/DPOpenHermes-7B-v2-PerfLaser在Open LLM Leaderboard上的表现时自动创建的。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。train分割始终指向最新的结果。此外，一个名为results的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。
提供机构：
open-llm-leaderboard-old
原始信息汇总

数据集概述

数据集简介

该数据集是在模型 LHC88/DPOpenHermes-7B-v2-PerfLaser 在 Open LLM Leaderboard 上的评估运行期间自动创建的。

数据集结构

  • 配置数量：63个配置，每个配置对应一个评估任务。
  • 创建次数：数据集从1次运行中创建。每个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。
  • 训练分割："train" 分割始终指向最新的结果。
  • 结果配置：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_LHC88__DPOpenHermes-7B-v2-PerfLaser", "harness_winogrande_5", split="train")

最新结果

以下是 2024-02-13T01:23:03.882958 运行的最新结果：

python { "all": { "acc": 0.630320332246712, "acc_stderr": 0.03233621970243457, "acc_norm": 0.6320323733340334, "acc_norm_stderr": 0.032983598662158733, "mc1": 0.40514075887392903, "mc1_stderr": 0.017185611727753368, "mc2": 0.5906705349831306, "mc2_stderr": 0.015428183371279078 }, "harness|arc:challenge|25": { "acc": 0.6279863481228669, "acc_stderr": 0.014124597881844461, "acc_norm": 0.6638225255972696, "acc_norm_stderr": 0.013804855026205763 }, "harness|hellaswag|10": { "acc": 0.6547500497908784, "acc_stderr": 0.004744780201276634, "acc_norm": 0.8458474407488548, "acc_norm_stderr": 0.0036035695286784114 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6842105263157895, "acc_stderr": 0.0378272898086547, "acc_norm": 0.6842105263157895, "acc_norm_stderr": 0.0378272898086547 }, "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": 0.6867924528301886, "acc_stderr": 0.028544793319055326, "acc_norm": 0.6867924528301886, "acc_norm_stderr": 0.028544793319055326 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7291666666666666, "acc_stderr": 0.037161774375660185, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.037161774375660185 }, "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": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.26, "acc_stderr": 0.04408440022768078, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6011560693641619, "acc_stderr": 0.037336266553835096, "acc_norm": 0.6011560693641619, "acc_norm_stderr": 0.037336266553835096 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.35294117647058826, "acc_stderr": 0.047551296160629475, "acc_norm": 0.35294117647058826, "acc_norm_stderr": 0.047551296160629475 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.75, "acc_stderr": 0.04351941398892446, "acc_norm": 0.75, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5446808510638298, "acc_stderr": 0.03255525359340354, "acc_norm": 0.5446808510638298, "acc_norm_stderr": 0.03255525359340354 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.47368421052631576, "acc_stderr": 0.046970851366478626, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.046970851366478626 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41798941798941797, "acc_stderr": 0.02540255550326091, "acc_norm": 0.41798941798941797, "acc_norm_stderr": 0.02540255550326091 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4365079365079365, "acc_stderr": 0.04435932892851466, "acc_norm": 0.4365079365079365, "acc_norm_stderr": 0.04435932892851466 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7645161290322581, "acc_stderr": 0.024137632429337717, "acc_norm": 0.7645161290322581, "acc_norm_stderr": 0.024137632429337717 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5073891625615764, "acc_stderr": 0.035176035403610105, "acc_norm": 0.5073891625615764, "acc_norm_stderr": 0.035176035403610105 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7878787878787878, "acc_stderr": 0.031922715695483, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.031922715695483 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586818, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586818 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8704663212435233, "acc_stderr": 0.02423353229775873, "acc_norm": 0.8704663212435233, "acc_norm_stderr": 0.02423353229775873 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6307692307692307, "acc_stderr": 0.024468615241478926, "acc_norm": 0.6307692307692307, "acc_norm_stderr": 0.024468615241478926 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.28888888888888886, "acc_stderr": 0.027634907264178544, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.027634907264178544 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6680672268907563, "acc_stderr": 0.03058869701378364, "acc_norm": 0.6680672268907563, "acc_norm_stderr": 0.03058869701378364 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8220183486238533, "acc_stderr": 0.016399436366612893, "acc_norm": 0.8220183486238533, "acc_norm_stderr": 0.016399436366612893 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5509259259259259, "acc_stderr": 0.03392238405321617, "acc_norm": 0.5509259259259259, "acc_norm_stderr": 0.03392238405321617 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8235294117647058, "acc_stderr": 0.02675640153807897, "acc_norm": 0.8235294117647058, "acc_norm_stderr": 0.02675640153807897 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.810126582278481, "acc_stderr": 0.02553010046023349, "acc_norm": 0.810126582278481, "acc_norm_stderr": 0.02553010046023349 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.672645739910314, "acc_stderr": 0.03149384670994131, "acc_norm": 0.672645739910314, "acc_norm_stderr": 0.03149384670994131 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228733, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228733 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7314814814814815, "acc_stderr": 0.042844679680521934, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.042844679680521934 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4375, "acc_stderr": 0.04708567521880525, "acc_norm": 0.4375, "acc_norm_stderr": 0.04708567521880525 }, "harness|hendrycksTest-management|5": { "acc": 0.8349514563106796, "acc_stderr": 0.036756688322331886, "acc_norm": 0.8349514563106796, "acc_norm_stderr": 0.036756688322331886 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8717948717948718, "acc_stderr": 0.021901905115073332, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.021901905115073332 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.04605661864718381, "acc_norm": 0.7, "acc_norm_stderr": 0.04605661864718381 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8071519795657727, "acc_stderr": 0.014108533515757433, "acc_norm": 0.8071519795657727, "acc_norm_stderr": 0.014108533515757433 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6907514450867052, "acc_stderr": 0.02488314057007176, "acc_norm": 0.6907514450867052, "acc_norm_stderr": 0.02488314057007176 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.36089385474860336, "acc_stderr": 0.016062290671110452, "acc_norm": 0.36089385474860336, "acc_norm_stderr": 0.016062290671110452 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7418300653594772, "acc_stderr": 0.02505850331695814, "acc_norm": 0.7418300653594772, "acc_norm_stderr": 0.02505850331695814 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6977491961414791, "acc_stderr": 0.026082700695399672, "acc_norm": 0.6977491961414791, "acc_norm_stderr": 0.026082700695399672 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7222222222222222, "acc_stderr": 0.02492200116888633, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.02492200116888633 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.46808510638297873, "acc_stderr": 0.029766675075873866, "acc_norm": 0.46808510638297873, "acc_norm_stderr": 0.029766675075873866 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4602346805736636, "acc_stderr": 0.012729785386598559, "acc_norm": 0.4602346805736636, "acc_norm_stderr": 0.012729785386598559 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6948529411764706, "acc_stderr": 0.0279715413701706, "acc_norm": 0.6948529411764706, "acc_norm_stderr": 0.0279715413701706 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6683006535947712, "acc_stderr": 0.01904748523936038, "acc_norm": 0.6683006535947712, "acc_norm_stderr": 0.01904748523936038 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6727272727272727, "acc_stderr": 0.0449429086625209, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.0449429086625209 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7183673469387755, "acc_stderr": 0.02879518557429129, "acc_norm": 0.7183673469387755, "acc_norm_stderr": 0.02879518557429129 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8159203980099502, "acc_stderr": 0.027403859410786848, "acc_norm": 0.8159203980099502, "acc_norm_stderr": 0.027403859410786848 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.0368452949177471, "acc_norm": 0.84, "acc_norm_stderr": 0.0368452949177471 }, "harness|hendrycksTest-virology|5": { "acc": 0.5240963855421686, "acc_stderr": 0.03887971849597264, "acc_norm": 0.5240963855421686, "acc_norm_stderr": 0.03887971849597264 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8421052631578947, "acc_stderr": 0.02796678585916089, "acc_norm": 0.8421052631578947, "acc_norm_stderr": 0.02796678585916089 }, "harness|truthfulqa:mc|0": { "mc1": 0.40514075887392903, "mc1_stderr": 0.017185611727753368, "mc2": 0.5906705349831306, "mc2_stderr": 0.015428183371279078 }, "harness|winogrande|5": { "acc": 0.7861089187056038, "acc_stderr": 0.011524466954090255 }, "harness|gsm8k|5": { "acc": 0.6004548900682335, "acc_stderr": 0.013491660298815988 } }

配置详情

  • 配置名称：harness_arc_challenge_25

    • 数据文件：
      • 分割：2024_02_13T01_23_03.882958
        • 路径：**/details_harness|arc:challenge|25_2024-02-13T01-23-03.882958.parquet
      • 分割：latest
        • 路径：**/details_harness|arc:challenge|25_2024-02-13T01-23-03.882958.parquet

  • 配置名称：harness_gsm8k_5

    • 数据文件：
      • 分割：2024_02_13T01_23_03.882958
        • 路径：**/details_harness|gsm8k|5_2024-02-13T01-23-03.882958.parquet
      • 分割：latest
        • 路径：**/details_harness|gsm8k|5_2024-02-13T01-23-03.882958.parquet

  • 配置名称：harness_hellaswag_10

    • 数据文件：
      • 分割：2024_02_13T01_23_03.882958
        • 路径：**/details_harness|hellaswag|10_2024-02-13T01-23-03.882958.parquet
      • 分割：latest
        • 路径：**/details_harness|hellaswag|10_2024-02-13T01-23-03.882958.parquet

  • 配置名称：harness_hendrycksTest_5

    • 数据文件：
      • 分割：2024_02_13T01_23_03.882958
        • 路径：
          • **/details_harness|hendrycksTest-abstract_algebra|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-anatomy|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-astronomy|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-business_ethics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_biology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_chemistry|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_computer_science|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_mathematics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_medicine|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-college_physics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-computer_security|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-conceptual_physics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-econometrics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-electrical_engineering|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-formal_logic|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-global_facts|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_biology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_european_history|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_geography|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_physics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_psychology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_statistics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_us_history|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-high_school_world_history|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-human_aging|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-human_sexuality|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-international_law|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-jurisprudence|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-logical_fallacies|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-machine_learning|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-management|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-marketing|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-medical_genetics|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-miscellaneous|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-moral_disputes|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-moral_scenarios|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-nutrition|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-philosophy|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-prehistory|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-professional_accounting|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-professional_law|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-professional_medicine|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-professional_psychology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-public_relations|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-security_studies|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-sociology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-virology|5_2024-02-13T01-23-03.882958.parquet
          • **/details_harness|hendrycksTest-world_religions|5_2024-02-13T01-23-03.882958.parquet
5,000+
优质数据集
54 个
任务类型
进入经典数据集
关于我们
遇见数据集——让每个数据集都被发现，让每一次遇见都有价值。
数发科官网www.sfktec.com.cn
联系我们
youjian
selectdataset@iotsh.com.cn
商业合作
数据驱动未来，携手共赢发展
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作