open-llm-leaderboard-old/details_maldv__winter-garden-7b-beta
收藏数据集概述
数据集摘要
该数据集是在评估模型 maldv/winter-garden-7b-beta 在 Open LLM Leaderboard 上的运行过程中自动创建的。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
数据集包含多个配置,每个配置对应不同的评估任务。以下是部分配置的详细信息:
配置示例
-
config_name: harness_arc_challenge_25
- data_files:
- split: 2024_03_14T18_52_55.857341
- path: **/details_harness|arc:challenge|25_2024-03-14T18-52-55.857341.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2024-03-14T18-52-55.857341.parquet
- split: 2024_03_14T18_52_55.857341
- data_files:
-
config_name: harness_gsm8k_5
- data_files:
- split: 2024_03_14T18_52_55.857341
- path: **/details_harness|gsm8k|5_2024-03-14T18-52-55.857341.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2024-03-14T18-52-55.857341.parquet
- split: 2024_03_14T18_52_55.857341
- data_files:
-
config_name: harness_hellaswag_10
- data_files:
- split: 2024_03_14T18_52_55.857341
- path: **/details_harness|hellaswag|10_2024-03-14T18-52-55.857341.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2024-03-14T18-52-55.857341.parquet
- split: 2024_03_14T18_52_55.857341
- data_files:
-
config_name: harness_hendrycksTest_5
- data_files:
- split: 2024_03_14T18_52_55.857341
- path:
- **/details_harness|hendrycksTest-abstract_algebra|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-anatomy|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-astronomy|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-business_ethics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_biology|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_chemistry|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_computer_science|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_mathematics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_medicine|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-college_physics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-computer_security|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-conceptual_physics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-econometrics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-electrical_engineering|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-formal_logic|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-global_facts|5_2024-03-14T18-52-55.857341.parquet
- **/details_harness|hendrycksTest-high_school_biology|5_2024-03-14T18-52-55.857341.parquet
- ...
- path:
- split: 2024_03_14T18_52_55.857341
- data_files:
最新结果
以下是 2024-03-14T18:52:55.857341 运行 的最新结果:
python { "all": { "acc": 0.6462619416747521, "acc_stderr": 0.03208546813289497, "acc_norm": 0.6489151886083914, "acc_norm_stderr": 0.032727760714514276, "mc1": 0.3463892288861689, "mc1_stderr": 0.016656997109125146, "mc2": 0.5081741047548045, "mc2_stderr": 0.014875855786973452 }, "harness|arc:challenge|25": { "acc": 0.6109215017064846, "acc_stderr": 0.014247309976045607, "acc_norm": 0.6493174061433447, "acc_norm_stderr": 0.013944635930726097 }, "harness|hellaswag|10": { "acc": 0.652459669388568, "acc_stderr": 0.004752158936871872, "acc_norm": 0.850229038040231, "acc_norm_stderr": 0.003561174810454545 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6222222222222222, "acc_stderr": 0.04188307537595852, "acc_norm": 0.6222222222222222, "acc_norm_stderr": 0.04188307537595852 }, "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": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7018867924528301, "acc_stderr": 0.02815283794249387, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.02815283794249387 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6705202312138728, "acc_stderr": 0.03583901754736412, "acc_norm": 0.6705202312138728, "acc_norm_stderr": 0.03583901754736412 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.04878608714466996, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.04878608714466996 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.77, "acc_stderr": 0.042295258468165065, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5617021276595745, "acc_stderr": 0.03243618636108101, "acc_norm": 0.5617021276595745, "acc_norm_stderr": 0.03243618636108101 }, "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": 0.5655172413793104, "acc_stderr": 0.04130740879555498, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555498 }, "har



