open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M
收藏资源简介：
该数据集是在模型nicholasKluge/Aira-Instruct-124M在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由61个配置组成，每个配置对应一个评估任务。数据集包含一次运行的结果，每次运行在每个配置中表示为特定的分割，train分割始终指向最新结果。一个名为results的额外配置存储了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。README还提供了如何使用datasets库加载数据集的示例，并包含了特定运行的最新结果。
This dataset was automatically created during the evaluation run of the model nicholasKluge/Aira-Instruct-124M on the Open LLM Leaderboard. The dataset consists of 61 configurations, each corresponding to one evaluation task. The dataset contains the results of a single run, where each run is represented as a specific split within each configuration, and the `train` split always points to the latest results. An additional configuration named `results` stores the aggregated results across all runs, which are used to calculate and display the aggregate metrics on the Open LLM Leaderboard. The README also provides examples of how to load the dataset using the `datasets` library, and includes the latest results from specific runs.
数据集概述
该数据集是在对模型 nicholasKluge/Aira-Instruct-124M 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。
数据集组成
- 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。
- 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。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_nicholasKluge__Aira-Instruct-124M", "harness_truthfulqa_mc_0", split="train")
最新结果
这些是最新结果（来自 2023-08-10T09:14:16.516035 运行）的示例： python { "all": { "acc": 0.25097821278031224, "acc_stderr": 0.03126312568682377, "acc_norm": 0.25197883172295243, "acc_norm_stderr": 0.03127882498671644, "mc1": 0.22766217870257038, "mc1_stderr": 0.014679255032111075, "mc2": 0.3793773096260545, "mc2_stderr": 0.01493606177741941 }, "harness|arc:challenge|25": { "acc": 0.19368600682593856, "acc_stderr": 0.01154842540997854, "acc_norm": 0.2354948805460751, "acc_norm_stderr": 0.012399451855004753 }, "harness|hellaswag|10": { "acc": 0.2909778928500299, "acc_stderr": 0.004532850566893526, "acc_norm": 0.3082055367456682, "acc_norm_stderr": 0.004608082815535503 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3111111111111111, "acc_stderr": 0.03999262876617721, "acc_norm": 0.3111111111111111, "acc_norm_stderr": 0.03999262876617721 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.18421052631578946, "acc_stderr": 0.0315469804508223, "acc_norm": 0.18421052631578946, "acc_norm_stderr": 0.0315469804508223 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.23, "acc_stderr": 0.042295258468165065, "acc_norm": 0.23, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2339622641509434, "acc_stderr": 0.02605529690115292, "acc_norm": 0.2339622641509434, "acc_norm_stderr": 0.02605529690115292 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2569444444444444, "acc_stderr": 0.03653946969442099, "acc_norm": 0.2569444444444444, "acc_norm_stderr": 0.03653946969442099 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.14, "acc_stderr": 0.03487350880197769, "acc_norm": 0.14, "acc_norm_stderr": 0.03487350880197769 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.03345036916788992, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.03345036916788992 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237654, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237654 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2553191489361702, "acc_stderr": 0.0285048564705142, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.0285048564705142 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489361, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489361 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2413793103448276, "acc_stderr": 0.03565998174135303, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.03565998174135303 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.2619047619047619, "acc_stderr": 0.022644212615525218, "acc_norm": 0.2619047619047619, "acc_norm_stderr": 0.022644212615525218 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.17, "acc_stderr": 0.0377525168068637, "acc_norm": 0.17, "acc_norm_stderr": 0.0377525168068637 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2, "acc_stderr": 0.022755204959542936, "acc_norm": 0.2, "acc_norm_stderr": 0.022755204959542936 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.29064039408866993, "acc_stderr": 0.0319474007226554, "acc_norm": 0.29064039408866993, "acc_norm_stderr": 0.0319474007226554 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.32, "acc_stderr": 0.04688261722621505, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21818181818181817, "acc_stderr": 0.03225078108306289, "acc_norm": 0.21818181818181817, "acc_norm_stderr": 0.03225078108306289 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.32323232323232326, "acc_stderr": 0.03332299921070644, "acc_norm": 0.32323232323232326, "acc_norm_stderr": 0.03332299921070644 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.29015544041450775, "acc_stderr": 0.03275264467791516, "acc_norm": 0.29015544041450775, "acc_norm_stderr": 0.03275264467791516 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.24102564102564103, "acc_stderr": 0.021685546665333195, "acc_norm": 0.24102564102564103, "acc_norm_stderr": 0.021685546665333195 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.22592592592592592, "acc_stderr": 0.02549753263960955, "acc_norm": 0.22592592592592592, "acc_norm_stderr": 0.02549753263960955 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.1722689075630252, "acc_stderr": 0.024
