open-llm-leaderboard-old/details_aloobun__Cypher-7B
收藏数据集概述
数据集简介
该数据集是在对模型 aloobun/Cypher-7B 进行评估运行期间自动创建的,用于 Open LLM Leaderboard。
数据集结构
- 配置数量:63个配置,每个配置对应一个评估任务。
- 运行次数:数据集从2次运行中创建,每次运行在每个配置中作为一个特定的分割存在,分割名称使用运行的时间戳。
- 训练分割:"train" 分割始终指向最新的结果。
- 结果配置: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_aloobun__Cypher-7B", "harness_winogrande_5", split="train")
最新结果
以下是 2024-04-04T22:24:34.715547 运行的最新结果:
python { "all": { "acc": 0.6486449613762667, "acc_stderr": 0.03205716424397747, "acc_norm": 0.6492392744490298, "acc_norm_stderr": 0.032712997418463424, "mc1": 0.4430844553243574, "mc1_stderr": 0.017389730346877106, "mc2": 0.6154915386378632, "mc2_stderr": 0.01530044267019002 }, "harness|arc:challenge|25": { "acc": 0.6518771331058021, "acc_stderr": 0.013921008595179344, "acc_norm": 0.6945392491467577, "acc_norm_stderr": 0.013460080478002508 }, "harness|hellaswag|10": { "acc": 0.681736705835491, "acc_stderr": 0.004648503177353959, "acc_norm": 0.8626767576180043, "acc_norm_stderr": 0.003434848525388187 }, ... }
配置详情
-
harness_arc_challenge_25
- 分割:2024_04_04T21_17_05.234082, 2024_04_04T22_24_34.715547, latest
- 路径:
**/details_harness|arc:challenge|25_2024-04-04T21-17-05.234082.parquet,**/details_harness|arc:challenge|25_2024-04-04T22-24-34.715547.parquet
-
harness_gsm8k_5
- 分割:2024_04_04T21_17_05.234082, 2024_04_04T22_24_34.715547, latest
- 路径:
**/details_harness|gsm8k|5_2024-04-04T21-17-05.234082.parquet,**/details_harness|gsm8k|5_2024-04-04T22-24-34.715547.parquet
-
harness_hellaswag_10
- 分割:2024_04_04T21_17_05.234082, 2024_04_04T22_24_34.715547, latest
- 路径:
**/details_harness|hellaswag|10_2024-04-04T21-17-05.234082.parquet,**/details_harness|hellaswag|10_2024-04-04T22-24-34.715547.parquet
-
harness_hendrycksTest_5
- 分割:2024_04_04T21_17_05.234082, 2024_04_04T22_24_34.715547, latest
- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-04T21-17-05.234082.parquet, ...



