open-llm-leaderboard/details_aqweteddy__Tulpar-tv_marcoroni-7b
收藏数据集概述
该数据集是在评估模型 aqweteddy/Tulpar-tv_marcoroni-7b 在 Open LLM Leaderboard 上的运行过程中自动创建的。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。以下是部分配置的示例:
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配置名称:
harness_arc_challenge_25- 数据文件:
- 分割:
2023_09_16T11_05_38.004815- 路径:
**/details_harness|arc:challenge|25_2023-09-16T11-05-38.004815.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|arc:challenge|25_2023-09-16T11-05-38.004815.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_16T11_05_38.004815- 路径:
**/details_harness|hellaswag|10_2023-09-16T11-05-38.004815.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|hellaswag|10_2023-09-16T11-05-38.004815.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_16T11_05_38.004815- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-anatomy|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-astronomy|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-business_ethics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_biology|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_chemistry|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_computer_science|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_mathematics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_medicine|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-college_physics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-computer_security|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-econometrics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-formal_logic|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-global_facts|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-high_school_biology|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-16T11-05-38.004815.parquet**/details_harness|hendrycksTest-high_school_geography|5_2023-09-16T11-05-38.004815.parquet
- 路径:
- 分割:
- 数据文件:
最新结果
以下是 2023-09-16T11:05:38.004815 运行 的最新结果:
python { "all": { "acc": 0.3312563883942805, "acc_stderr": 0.03372195940077684, "acc_norm": 0.33458244613980964, "acc_norm_stderr": 0.0337194423696009, "mc1": 0.30354957160342716, "mc1_stderr": 0.016095884155386847, "mc2": 0.4937561621069656, "mc2_stderr": 0.016106089320397136 }, "harness|arc:challenge|25": { "acc": 0.38993174061433444, "acc_stderr": 0.014252959848892877, "acc_norm": 0.41638225255972694, "acc_norm_stderr": 0.01440561827943617 }, "harness|hellaswag|10": { "acc": 0.5012945628360884, "acc_stderr": 0.0049897646867388306, "acc_norm": 0.671081457876917, "acc_norm_stderr": 0.004688601416815203 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3925925925925926, "acc_stderr": 0.0421850621536888, "acc_norm": 0.3925925925925926, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.29605263157894735, "acc_stderr": 0.03715062154998904, "acc_norm": 0.29605263157894735, "acc_norm_stderr": 0.03715062154998904 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3660377358490566, "acc_stderr": 0.02964781353936524, "acc_norm": 0.3660377358490566, "acc_norm_stderr": 0.02964781353936524 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3333333333333333, "acc_stderr": 0.039420826399272135, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.039420826399272135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.26, "acc_stderr": 0.04408440022768079, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768079 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.14, "acc_stderr": 0.03487350880197772, "acc_norm": 0.14, "acc_norm_stderr": 0.03487350880197772 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788991, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788991 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.04158307533083286, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.04158307533083286 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.3446808510638298, "acc_stderr": 0.03106898596312215, "acc_norm": 0.3446808510638298, "acc_norm_stderr": 0.03106898596312215 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2689655172413793, "acc_stderr": 0.036951



