open-llm-leaderboard/details_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged

该数据集是在模型 PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged 在 Open LLM Leaderboard 上的评估运行期间自动创建的。数据集由 64 个配置组成，每个配置对应一个评估任务。数据集是从 2 次运行中创建的，每次运行在每个配置中表示为特定的分割。train 分割始终指向最新的结果。此外，还有一个名为 results 的配置，存储了所有运行的聚合结果，这些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` 库中的 `load_dataset` 函数加载数据集的示例。

This dataset was automatically created during the evaluation run of the model PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged on the Open LLM Leaderboard. The dataset consists of 64 configurations, each corresponding to one evaluation task. It is constructed from two runs, with each run serving as a specific split for every configuration. The `train` split always points to the most recent results. Additionally, there is a configuration named `results` that 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 `load_dataset` function from the `datasets` library.

原始信息汇总

数据集概述

该数据集是在对模型 PocketDoc/Dans-PileOfSets-Mk1-llama-13b-merged 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。

数据集组成

• 数据集包含 64 个配置，每个配置对应一个评估任务。
• 数据集从 2 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" 分割总是指向最新的结果。
• 一个额外的配置 "results" 存储所有运行的聚合结果，用于计算和显示聚合指标在 Open LLM Leaderboard 上。

数据加载示例

python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_PocketDoc__Dans-PileOfSets-Mk1-llama-13b-merged", "harness_winogrande_5", split="train")

最新结果

以下是 2023-09-17T21:54:20.873992 运行的最新结果：

python { "all": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.057128775167785376, "f1_stderr": 0.001288342539357545, "acc": 0.4232772429904026, "acc_stderr": 0.009826580746076554 }, "harness|drop|3": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.057128775167785376, "f1_stderr": 0.001288342539357545 }, "harness|gsm8k|5": { "acc": 0.08491281273692192, "acc_stderr": 0.007678212824450797 }, "harness|winogrande|5": { "acc": 0.7616416732438832, "acc_stderr": 0.011974948667702311 } }

配置详情

• harness_arc_challenge_25

  • 分割: 2023_07_18T14_55_50.956867
  • 路径: **/details_harness|arc:challenge|25_2023-07-18T14:55:50.956867.parquet
  • 分割: latest
  • 路径: **/details_harness|arc:challenge|25_2023-07-18T14:55:50.956867.parquet

• harness_drop_3

  • 分割: 2023_09_17T21_54_20.873992
  • 路径: **/details_harness|drop|3_2023-09-17T21-54-20.873992.parquet
  • 分割: latest
  • 路径: **/details_harness|drop|3_2023-09-17T21-54-20.873992.parquet

• harness_gsm8k_5

  • 分割: 2023_09_17T21_54_20.873992
  • 路径: **/details_harness|gsm8k|5_2023-09-17T21-54-20.873992.parquet
  • 分割: latest
  • 路径: **/details_harness|gsm8k|5_2023-09-17T21-54-20.873992.parquet

• harness_hellaswag_10

  • 分割: 2023_07_18T14_55_50.956867
  • 路径: **/details_harness|hellaswag|10_2023-07-18T14:55:50.956867.parquet
  • 分割: latest
  • 路径: **/details_harness|hellaswag|10_2023-07-18T14:55:50.956867.parquet

• harness_hendrycksTest_5

  • 分割: 2023_07_18T14_55_50.956867
  • 路径:
    • **/details_harness|hendrycksTest-abstract_algebra|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-anatomy|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-astronomy|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-business_ethics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_biology|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_chemistry|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_computer_science|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_mathematics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_medicine|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-college_physics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-computer_security|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-conceptual_physics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-econometrics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-electrical_engineering|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-formal_logic|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-global_facts|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_biology|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_european_history|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_geography|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_physics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_psychology|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_statistics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_us_history|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-high_school_world_history|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-human_aging|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-human_sexuality|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-international_law|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-jurisprudence|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-logical_fallacies|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-machine_learning|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-management|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-marketing|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-medical_genetics|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-miscellaneous|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-moral_disputes|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-moral_scenarios|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-nutrition|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-philosophy|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-prehistory|5_2023-07-18T14:55:50.956867.parquet
    • **/details_harness|hendrycksTest-professional_accounting|5_2023-07-18T14:55:50.956867.parquet
    • `**/details_harness|hendrycksTest-professional