open-llm-leaderboard-old/details_aqweteddy__Tulpar-tv_marcoroni-7b

该数据集是在评估模型aqweteddy/Tulpar-tv_marcoroni-7b时自动创建的，评估在Open LLM Leaderboard上进行。数据集由61个配置组成，每个配置对应一个评估任务。数据集从1次运行中创建，每次运行可以在每个配置中找到，运行的时间戳作为分割名称。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。

原始信息汇总

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。

数据集组成

• 数据集包含 61 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。
• 额外的配置 "results" 存储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。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_aqweteddy__Tulpar-tv_marcoroni-7b", "harness_truthfulqa_mc_0", split="train")

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": 0.03695183311650232, "acc_norm": 0.2689655172413793, "acc_norm_stderr": 0.03695183311650232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.25925925925925924, "acc_stderr": 0.02256989707491842, "acc_norm": 0.25925925925925924, "acc_norm_stderr": 0.02256989707491842 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.20634920634920634, "acc_stderr": 0.036196045241242515, "acc_norm": 0.20634920634920634, "acc_norm_stderr": 0.036196045241242515 }, "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": 0.36451612903225805, "acc_stderr": 0.02737987122994324, "acc_norm": 0.36451612903225805, "acc_norm_stderr": 0.02737987122994324 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2955665024630542, "acc_stderr": 0.032104944337514575, "acc_norm": 0.2955665024630542, "acc_norm_stderr": 0.032104944337514575 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.38, "acc_stderr": 0.048783173121456316, "acc_norm": 0.38, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.44242424242424244, "acc_stderr": 0.03878372113711275, "acc_norm": 0.44242424242424244, "acc_norm_stderr": 0.03878372113711275 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.30303030303030304, "acc_stderr": 0.03274287914026868, "acc_norm": 0.30303030303030304, "acc_norm_stderr": 0.03274287914026868 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.3160621761658031, "acc_stderr": 0.03355397369686174, "acc_norm": 0.3160621761658031, "acc_norm_stderr": 0.03355397369686174 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24358974358974358, "acc_stderr": 0.021763733684173933, "acc_norm": 0.24358974358974358, "acc_norm_stderr": 0.021763733684173933 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22592592592592592, "acc_stderr": 0.02549753263960955, "acc_norm": 0.22