open-llm-leaderboard/details_aqweteddy__llama_chat-tv_en_luban-tv_stable_platypus2
收藏数据集概述
该数据集是在对模型 aqweteddy/llama_chat-tv_en_luban-tv_stable_platypus2 进行评估运行期间自动创建的。数据集包含61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,每次运行的详细结果可以在每个配置的特定分割中找到,分割名称使用运行的时间戳。"train" 分割始终指向最新的结果。
数据集结构
配置
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配置名称:
harness_arc_challenge_25- 数据文件:
- 分割:
2023_09_14T19_14_45.418998- 路径:
**/details_harness|arc:challenge|25_2023-09-14T19-14-45.418998.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|arc:challenge|25_2023-09-14T19-14-45.418998.parquet
- 路径:
- 分割:
- 数据文件:
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配置名称:
harness_hellaswag_10- 数据文件:
- 分割:
2023_09_14T19_14_45.418998- 路径:
**/details_harness|hellaswag|10_2023-09-14T19-14-45.418998.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|hellaswag|10_2023-09-14T19-14-45.418998.parquet
- 路径:
- 分割:
- 数据文件:
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配置名称:
harness_hendrycksTest_5- 数据文件:
- 分割:
2023_09_14T19_14_45.418998- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-anatomy|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-astronomy|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_biology|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-college_physics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-computer_security|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-econometrics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-global_facts|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T19-14-45.418998.parquet**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T19-14-45.418998.parquet- ...
- 路径:
- 分割:
- 数据文件:
最新结果
以下是2023年9月14日19:14:45.418998运行的最新结果:
python { "all": { "acc": 0.4945007463965186, "acc_stderr": 0.03527731102256181, "acc_norm": 0.49711825981073476, "acc_norm_stderr": 0.035276035393914426, "mc1": 0.32558139534883723, "mc1_stderr": 0.016403989469907825, "mc2": 0.5188093512935639, "mc2_stderr": 0.016351300657386426 }, "harness|arc:challenge|25": { "acc": 0.4351535836177474, "acc_stderr": 0.014487986197186043, "acc_norm": 0.4453924914675768, "acc_norm_stderr": 0.01452398763834409 }, "harness|hellaswag|10": { "acc": 0.4660426209918343, "acc_stderr": 0.004978260641742204, "acc_norm": 0.6102370045807608, "acc_norm_stderr": 0.004866997110388195 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4740740740740741, "acc_stderr": 0.04313531696750574, "acc_norm": 0.4740740740740741, "acc_norm_stderr": 0.04313531696750574 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.47368421052631576, "acc_stderr": 0.04063302731486671, "acc_norm": 0.47368421052631576, "acc_norm_stderr": 0.04063302731486671 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.5320754716981132, "acc_stderr": 0.030709486992556538, "acc_norm": 0.5320754716981132, "acc_norm_stderr": 0.030709486992556538 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5277777777777778, "acc_stderr": 0.04174752578923185, "acc_norm": 0.5277777777777778, "acc_norm_stderr": 0.04174752578923185 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.43, "acc_stderr": 0.049756985195624284, "acc_norm": 0.43, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.4797687861271676, "acc_stderr": 0.03809342081273957, "acc_norm": 0.4797687861271676, "acc_norm_stderr": 0.03809342081273957 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.2647058823529412, "acc_stderr": 0.04389869956808778, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.04389869956808778 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.67, "acc_stderr": 0.04725815626252609, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252609 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.425531914893617, "acc_stderr": 0.032321469162244695, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.032321469162244695 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.044346007015849245, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.044346007015849245 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.4206896551724138, "acc_stderr": 0.0411391498118926, "acc_norm": 0.4206896551724138, "acc_norm_stderr": 0.0411391498118926 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2857142857142857, "acc_stderr": 0.02326651221373057, "acc_norm": 0.285714285714285



