open-llm-leaderboard/details_Fredithefish__ScarletPajama-3B-HF
收藏数据集概述
数据集简介
该数据集是在对模型 Fredithefish/ScarletPajama-3B-HF 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:64个配置,每个配置对应一个评估任务。
- 运行次数:数据集从4次运行中创建。每个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。
- 结果汇总:一个额外的配置 "results" 存储所有运行的汇总结果,用于计算和显示 Open LLM Leaderboard 上的汇总指标。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Fredithefish__ScarletPajama-3B-HF", "harness_winogrande_5", split="train")
最新结果
以下是 2023-10-17T04:53:29.822366 运行的最新结果: python { "all": { "em": 0.004404362416107382, "em_stderr": 0.000678145162047974, "f1": 0.05973783557047, "f1_stderr": 0.00145869394982755, "acc": 0.3235523790774504, "acc_stderr": 0.00738110264721833 }, "harness|drop|3": { "em": 0.004404362416107382, "em_stderr": 0.000678145162047974, "f1": 0.05973783557047, "f1_stderr": 0.00145869394982755 }, "harness|gsm8k|5": { "acc": 0.002274450341167551, "acc_stderr": 0.0013121578148674066 }, "harness|winogrande|5": { "acc": 0.6448303078137332, "acc_stderr": 0.013450047479569254 } }
配置详情
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harness_arc_challenge_25
- 分片:2023_07_18T10_40_07.998848, 2023_07_18T10_59_29.744691, 2023_07_18T11_22_36.276384, latest
- 路径:**/details_harness|arc:challenge|25_2023-07-18T10:40:07.998848.parquet 等
-
harness_drop_3
- 分片:2023_10_17T04_53_29.822366, latest
- 路径:**/details_harness|drop|3_2023-10-17T04-53-29.822366.parquet
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harness_gsm8k_5
- 分片:2023_10_17T04_53_29.822366, latest
- 路径:**/details_harness|gsm8k|5_2023-10-17T04-53-29.822366.parquet
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harness_hellaswag_10
- 分片:2023_07_18T10_40_07.998848, 2023_07_18T10_59_29.744691, 2023_07_18T11_22_36.276384, latest
- 路径:**/details_harness|hellaswag|10_2023-07-18T10:40:07.998848.parquet 等
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harness_hendrycksTest_5
- 分片:2023_07_18T10_40_07.998848, 2023_07_18T10_59_29.744691, 2023_07_18T11_22_36.276384
- 路径:**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-18T10:40:07.998848.parquet 等



