open-llm-leaderboard-old/details_VAGOsolutions__SauerkrautLM-Qwen-32b
收藏数据集概述
数据集摘要
该数据集是在评估模型 VAGOsolutions/SauerkrautLM-Qwen-32b 在 Open LLM Leaderboard 上的自动创建的。数据集包含 63 个配置，每个配置对应一个评估任务。
数据集结构
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。
额外配置
一个额外的配置 "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。
加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_VAGOsolutions__SauerkrautLM-Qwen-32b", "harness_winogrande_5", split="train")
最新结果
这些是最新结果的示例： python { "all": { "acc": 0.7340517879431272, "acc_stderr": 0.029409627571625768, "acc_norm": 0.7406545731638753, "acc_norm_stderr": 0.029970385595780122, "mc1": 0.4320685434516524, "mc1_stderr": 0.017341202394988257, "mc2": 0.6103953872847286, "mc2_stderr": 0.01530815239070466 }, "harness|arc:challenge|25": { "acc": 0.5784982935153583, "acc_stderr": 0.014430197069326021, "acc_norm": 0.5878839590443686, "acc_norm_stderr": 0.014383915302225403 }, "harness|hellaswag|10": { "acc": 0.6279625572595101, "acc_stderr": 0.004823604775015907, "acc_norm": 0.8215494921330412, "acc_norm_stderr": 0.003821090082721713 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6370370370370371, "acc_stderr": 0.04153948404742398, "acc_norm": 0.6370370370370371, "acc_norm_stderr": 0.04153948404742398 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8486842105263158, "acc_stderr": 0.029162631596843982, "acc_norm": 0.8486842105263158, "acc_norm_stderr": 0.029162631596843982 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7811320754716982, "acc_stderr": 0.025447863825108632, "acc_norm": 0.7811320754716982, "acc_norm_stderr": 0.025447863825108632 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8402777777777778, "acc_stderr": 0.03063557897209328, "acc_norm": 0.8402777777777778, "acc_norm_stderr": 0.03063557897209328 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.54, "acc_stderr": 0.05009082659620332, "acc_norm": 0.54, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7745664739884393, "acc_stderr": 0.03186209851641144, "acc_norm": 0.7745664739884393, "acc_norm_stderr": 0.03186209851641144 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.49019607843137253, "acc_stderr": 0.04974229460422817, "acc_norm": 0.49019607843137253, "acc_norm_stderr": 0.04974229460422817 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.81, "acc_stderr": 0.039427724440366234, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366234 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7574468085106383, "acc_stderr": 0.028020226271200217, "acc_norm": 0.7574468085106383, "acc_norm_stderr": 0.028020226271200217 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5263157894736842, "acc_stderr": 0.046970851366478626, "acc_norm": 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"harness|hendrycksTest-prehistory|5": { "acc": 0.8117283950617284, "acc_stderr": 0.021751866060815875, "acc_norm": 0.8117283950617284, "acc_norm_stderr": 0.021751866060815875 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5638297872340425, "acc_stderr": 0.02958345203628407, "acc_norm": 0.5638297872340425, "acc_norm_stderr": 0.02958345203628407 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5782268578878749, "acc_stderr": 0.012612974369390984, "acc_norm": 0.5782268578878749, "acc_norm_stderr": 0.012612974369390984 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7941176470588235, "acc_stderr": 0.02456220431414231, "acc_norm": 0.7941176470588235, "acc_norm_stderr": 0.02456220431414231 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7728758169934641, "acc_stderr": 0.016949853279212383, "acc_norm": 0.7728758169934641, "acc_norm_stderr": 0.016949853279212383 }, "harness|hendrycksTest-public_relations|5": { "acc": 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"harness|truthfulqa:mc|0": { "mc1": 0.4320685434516524, "mc1_stderr": 0.017341202394988257, "mc2": 0.6103953872847286, "mc2_stderr": 0.01530815239070466 }, "harness|winogrande|5": { "acc": 0.813733228097869, "acc_stderr": 0.010941877955676213 }, "harness|gsm8k|5": { "acc": 0.467778620166793, "acc_stderr": 0.013743857303073797 } }
