open-llm-leaderboard/details_quantumaikr__QuantumLM
收藏数据集概述
数据集简介
该数据集是在评估模型 quantumaikr/QuantumLM 在 Open LLM Leaderboard 上的运行过程中自动创建的。
数据集结构
- 配置数量:64个配置,每个配置对应一个评估任务。
- 运行次数:数据集由4次运行创建。每次运行在每个配置中作为一个特定的分片存在,分片名称使用运行的时间戳。
- 最新结果:"train" 分片始终指向最新的结果。
- 聚合结果:一个额外的配置 "results" 存储所有运行的聚合结果,用于计算和显示在 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_quantumaikr__QuantumLM", "harness_winogrande_5", split="train")
最新结果示例
以下是 2023-10-17T21:09:03.673606 运行的结果: python { "all": { "em": 0.004718959731543624, "em_stderr": 0.0007018360183131032, "f1": 0.066544672818792, "f1_stderr": 0.0015305236997022681, "acc": 0.4202347692309533, "acc_stderr": 0.010254299592459359 }, "harness|drop|3": { "em": 0.004718959731543624, "em_stderr": 0.0007018360183131032, "f1": 0.066544672818792, "f1_stderr": 0.0015305236997022681 }, "harness|gsm8k|5": { "acc": 0.09855951478392722, "acc_stderr": 0.008210320350946333 }, "harness|winogrande|5": { "acc": 0.7419100236779794, "acc_stderr": 0.012298278833972385 } }
配置详情
-
harness_arc_challenge_25
- 分片:2023_08_22T12_43_24.978331, 2023_08_22T20_06_17.327995, latest
- 路径:
**/details_harness|arc:challenge|25_2023-08-22T12:43:24.978331.parquet等
-
harness_drop_3
- 分片:2023_10_17T05_08_11.720635, 2023_10_17T21_09_03.673606, latest
- 路径:
**/details_harness|drop|3_2023-10-17T05-08-11.720635.parquet等
-
harness_gsm8k_5
- 分片:2023_10_17T05_08_11.720635, 2023_10_17T21_09_03.673606, latest
- 路径:
**/details_harness|gsm8k|5_2023-10-17T05-08-11.720635.parquet等
-
harness_hellaswag_10
- 分片:2023_08_22T12_43_24.978331, 2023_08_22T20_06_17.327995, latest
- 路径:
**/details_harness|hellaswag|10_2023-08-22T12:43:24.978331.parquet等
-
harness_hendrycksTest_5
- 分片:2023_08_22T12_43_24.978331, 2023_08_22T20_06_17.327995, latest
- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-22T12:43:24.978331.parquet等



