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open-llm-leaderboard/details_upstage__llama-30b-instruct

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Hugging Face2023-09-17 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/open-llm-leaderboard/details_upstage__llama-30b-instruct
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资源简介:
该数据集是在模型upstage/llama-30b-instruct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,每个配置对应一个特定的评估任务。数据集是从2次运行中生成的,每次运行在每个配置中表示为特定的分割,分割名称使用运行的时间戳。train分割始终指向最新的结果。一个名为results的额外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 generated during the evaluation runs of the upstage/llama-30b-instruct model on the Open LLM Leaderboard. It comprises 64 configurations, each corresponding to a distinct evaluation task. The dataset is created from two runs, where each run is represented as a dedicated split for every configuration, with the split name being the timestamp of the corresponding run. The 'train' split always references the most up-to-date results. An additional configuration titled 'results' stores the aggregated results across all runs, which are utilized to compute and display the aggregate metrics on the Open LLM Leaderboard. The README also includes examples demonstrating how to load the dataset using the `load_dataset` function from the `datasets` library.
提供机构:
open-llm-leaderboard
原始信息汇总

数据集概述

数据集名称

Evaluation run of upstage/llama-30b-instruct

数据集描述

该数据集是在评估模型 upstage/llama-30b-instructOpen LLM Leaderboard 上的自动创建的。

数据集结构

  • 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_upstage__llama-30b-instruct", "harness_winogrande_5", split="train")

最新结果

以下是 2023-09-17T15:33:08.826830 运行的最新结果: python { "all": { "em": 0.19924496644295303, "em_stderr": 0.004090563786479079, "f1": 0.2739314177852351, "f1_stderr": 0.004108459298679424, "acc": 0.46317766024223705, "acc_stderr": 0.01006349395660694 }, "harness|drop|3": { "em": 0.19924496644295303, "em_stderr": 0.004090563786479079, "f1": 0.2739314177852351, "f1_stderr": 0.004108459298679424 }, "harness|gsm8k|5": { "acc": 0.12130401819560273, "acc_stderr": 0.0089928884972756 }, "harness|winogrande|5": { "acc": 0.8050513022888713, "acc_stderr": 0.011134099415938278 } }

配置详情

以下是数据集的配置详情:

  • harness_arc_challenge_25

    • 分割:2023_07_19T22_33_00.369415
    • 路径:**/details_harness|arc:challenge|25_2023-07-19T22:33:00.369415.parquet
    • 分割:latest
    • 路径:**/details_harness|arc:challenge|25_2023-07-19T22:33:00.369415.parquet
  • harness_drop_3

    • 分割:2023_09_17T15_33_08.826830
    • 路径:**/details_harness|drop|3_2023-09-17T15-33-08.826830.parquet
    • 分割:latest
    • 路径:**/details_harness|drop|3_2023-09-17T15-33-08.826830.parquet
  • harness_gsm8k_5

    • 分割:2023_09_17T15_33_08.826830
    • 路径:**/details_harness|gsm8k|5_2023-09-17T15-33-08.826830.parquet
    • 分割:latest
    • 路径:**/details_harness|gsm8k|5_2023-09-17T15-33-08.826830.parquet
  • harness_hellaswag_10

    • 分割:2023_07_19T22_33_00.369415
    • 路径:**/details_harness|hellaswag|10_2023-07-19T22:33:00.369415.parquet
    • 分割:latest
    • 路径:**/details_harness|hellaswag|10_2023-07-19T22:33:00.369415.parquet
  • harness_hendrycksTest_5

    • 分割:2023_07_19T22_33_00.369415
    • 路径:
      • **/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-anatomy|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-astronomy|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-business_ethics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_biology|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_medicine|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-college_physics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-computer_security|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-econometrics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-formal_logic|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-global_facts|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-human_aging|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-international_law|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-machine_learning|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-management|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-marketing|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-nutrition|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-philosophy|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-prehistory|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T22:33:00.369415.parquet
      • **/details_harness|hendrycksTest-professional_law|5_2023-07-19T22:33:00.369415.parquet
      • `**/details_harness|
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