open-llm-leaderboard-old/details_BreadAi__gpt-Youtube
收藏数据集概述
该数据集是在评估模型 BreadAi/gpt-Youtube 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 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_BreadAi__gpt-Youtube", "harness_winogrande_5", split="train")
最新结果
以下是 2023-09-16T17:05:46.246931 运行的最新结果: python { "all": { "em": 0.030411073825503357, "em_stderr": 0.0017585282619461873, "f1": 0.03320889261744967, "f1_stderr": 0.0017808043698679197, "acc": 0.244672454617206, "acc_stderr": 0.0070246472681452015 }, "harness|drop|3": { "em": 0.030411073825503357, "em_stderr": 0.0017585282619461873, "f1": 0.03320889261744967, "f1_stderr": 0.0017808043698679197 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.489344909234412, "acc_stderr": 0.014049294536290403 } }
配置详情
配置列表
harness_arc_challenge_25harness_drop_3harness_gsm8k_5harness_hellaswag_10harness_hendrycksTest_5harness_hendrycksTest_abstract_algebra_5harness_hendrycksTest_anatomy_5harness_hendrycksTest_astronomy_5harness_hendrycksTest_business_ethics_5harness_hendrycksTest_clinical_knowledge_5harness_hendrycksTest_college_biology_5harness_hendrycksTest_college_chemistry_5harness_hendrycksTest_college_computer_science_5harness_hendrycksTest_college_mathematics_5harness_hendrycksTest_college_medicine_5harness_hendrycksTest_college_physics_5harness_hendrycksTest_computer_security_5harness_hendrycksTest_conceptual_physics_5harness_hendrycksTest_econometrics_5harness_hendrycksTest_electrical_engineering_5harness_hendrycksTest_elementary_mathematics_5
数据文件详情
每个配置包含多个分割,每个分割对应不同的运行时间戳和路径。例如:
harness_arc_challenge_25配置包含两个分割:2023_07_19T19_36_47.634434分割路径:**/details_harness|arc:challenge|25_2023-07-19T19:36:47.634434.parquet
latest分割路径:**/details_harness|arc:challenge|25_2023-07-19T19:36:47.634434.parquet
其他配置的详细信息类似,每个配置包含多个分割和对应的路径。



