open-llm-leaderboard/details_pankajmathur__orca_mini_v3_70b
收藏数据集概述
该数据集是在对模型 pankajmathur/orca_mini_v3_70b 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:
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配置名称:
harness_arc_challenge_25- 数据文件:
- 分割:
2023_10_09T02_12_05.216705- 路径:
**/details_harness|arc:challenge|25_2023-10-09T02-12-05.216705.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|arc:challenge|25_2023-10-09T02-12-05.216705.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_10_09T02_12_05.216705- 路径:
**/details_harness|hellaswag|10_2023-10-09T02-12-05.216705.parquet
- 路径:
- 分割:
latest- 路径:
**/details_harness|hellaswag|10_2023-10-09T02-12-05.216705.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_10_09T02_12_05.216705- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-anatomy|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-astronomy|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-business_ethics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_biology|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_chemistry|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_computer_science|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_mathematics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_medicine|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-college_physics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-computer_security|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-econometrics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-formal_logic|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-global_facts|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_biology|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_computer_science|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_european_history|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_geography|5_2023-10-09T02-12-05.216705.parquet**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-09T02-12-05.216705.parquet
- 路径:
- 分割:
- 数据文件:
最新结果
以下是 2023-10-09T02:12:05.216705 运行 的最新结果:
python { "all": { "acc": 0.7010508529623596, "acc_stderr": 0.0309286120388273, "acc_norm": 0.7049679984523141, "acc_norm_stderr": 0.030896356315399304, "mc1": 0.42962056303549573, "mc1_stderr": 0.017329234580409098, "mc2": 0.6126968953087459, "mc2_stderr": 0.015087648780065216 }, "harness|arc:challenge|25": { "acc": 0.6646757679180887, "acc_stderr": 0.013796182947785562, "acc_norm": 0.712457337883959, "acc_norm_stderr": 0.013226719056266129 }, "harness|hellaswag|10": { "acc": 0.6951802429794861, "acc_stderr": 0.00459390260197934, "acc_norm": 0.8785102569209321, "acc_norm_stderr": 0.0032602788112468337 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6296296296296297, "acc_stderr": 0.04171654161354543, "acc_norm": 0.6296296296296297, "acc_norm_stderr": 0.04171654161354543 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8157894736842105, "acc_stderr": 0.0315469804508223, "acc_norm": 0.8157894736842105, "acc_norm_stderr": 0.0315469804508223 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.77, "acc_stderr": 0.042295258468165044, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165044 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7396226415094339, "acc_stderr": 0.027008766090708052, "acc_norm": 0.7396226415094339, "acc_norm_stderr": 0.027008766090708052 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8125, "acc_stderr": 0.032639560491693344, "acc_norm": 0.8125, "acc_norm_stderr": 0.032639560491693344 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6589595375722543, "acc_stderr": 0.036146654241808254, "acc_norm": 0.6589595375722543, "acc_norm_stderr": 0.036146654241808254 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6936170212765957, "acc_stderr": 0.03013590647851756, "acc_norm": 0.6936170212765957, "acc_norm_stderr": 0.03013590647851756 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.63448275



