open-llm-leaderboard-old/details_CultriX__MonaTrix-v4
收藏Hugging Face2024-02-21 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_CultriX__MonaTrix-v4
下载链接
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资源简介：
该数据集是在评估模型CultriX/MonaTrix-v4时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了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。
该数据集是在评估模型CultriX/MonaTrix-v4时自动创建的，评估过程在Open LLM Leaderboard上进行。数据集包含63个配置，每个配置对应一个评估任务。数据集由1次运行生成，每次运行的结果作为特定配置中的一个分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个名为results的配置，存储了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。
提供机构：
open-llm-leaderboard-old
原始信息汇总
数据集概述
该数据集是在评估模型CultriX/MonaTrix-v4在Open LLM Leaderboard上的运行过程中自动创建的。数据集包含63个配置，每个配置对应一个评估任务。
数据集结构
- 配置数量：63个配置
- 数据来源：从1次运行中创建，每个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。
- 最新结果："train"分割总是指向最新的结果。
- 汇总结果：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_CultriX__MonaTrix-v4", "harness_winogrande_5", split="train")
最新结果
以下是2024-02-21T00:24:32.743583运行的最新结果：
python { "all": { "acc": 0.6473204950088941, "acc_stderr": 0.032191350946170795, "acc_norm": 0.6465855066494365, "acc_norm_stderr": 0.03286612078901506, "mc1": 0.6291309669522643, "mc1_stderr": 0.016909693580248835, "mc2": 0.7801982746165738, "mc2_stderr": 0.013716757558014107 }, "harness|arc:challenge|25": { "acc": 0.7098976109215017, "acc_stderr": 0.013261573677520769, "acc_norm": 0.7337883959044369, "acc_norm_stderr": 0.012915774781523198 }, "harness|hellaswag|10": { "acc": 0.7160924118701454, "acc_stderr": 0.004499710284381919, "acc_norm": 0.8910575582553276, "acc_norm_stderr": 0.003109302300176206 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695236, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695236 }, # 其他任务的结果... }
配置详情
-
config_name: harness_arc_challenge_25
- split: 2024_02_21T00_24_32.743583
- path: **/details_harness|arc:challenge|25_2024-02-21T00-24-32.743583.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2024-02-21T00-24-32.743583.parquet
- split: 2024_02_21T00_24_32.743583
-
config_name: harness_gsm8k_5
- split: 2024_02_21T00_24_32.743583
- path: **/details_harness|gsm8k|5_2024-02-21T00-24-32.743583.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2024-02-21T00-24-32.743583.parquet
- split: 2024_02_21T00_24_32.743583
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config_name: harness_hellaswag_10
- split: 2024_02_21T00_24_32.743583
- path: **/details_harness|hellaswag|10_2024-02-21T00-24-32.743583.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2024-02-21T00-24-32.743583.parquet
- split: 2024_02_21T00_24_32.743583
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config_name: harness_hendrycksTest_5
- split: 2024_02_21T00_24_32.743583
- path:
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- **/details_harness|hendrycksTest-business_ethics|5_2024-02-21T00-24-32.743583.parquet
- **/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-21T00-24-32.743583.parquet
- **/details_harness|hendrycksTest-college_biology|5_2024-02-21T00-24-32.743583.parquet
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- split: 2024_02_21T00_24_32.743583
