open-llm-leaderboard-old/details_TeeZee__DarkSapling-7B-v1.0
收藏Hugging Face2024-02-10 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_TeeZee__DarkSapling-7B-v1.0
下载链接
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资源简介：
该数据集是在模型TeeZee/DarkSapling-7B-v1.0在Open LLM Leaderboard上的评估运行期间自动创建的。它由63个配置组成，每个配置对应一个被评估的任务。数据集是从1次运行中创建的，每次运行作为每个配置中的一个特定分割，使用运行的时间戳命名。"train"分割始终指向最新结果。一个额外的配置"results"存储了运行的所有聚合结果，用于计算和显示Open LLM Leaderboard上的聚合指标。
该数据集是在模型TeeZee/DarkSapling-7B-v1.0在Open LLM Leaderboard上的评估运行期间自动创建的。它由63个配置组成，每个配置对应一个被评估的任务。数据集是从1次运行中创建的，每次运行作为每个配置中的一个特定分割，使用运行的时间戳命名。"train"分割始终指向最新结果。一个额外的配置"results"存储了运行的所有聚合结果，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
数据集摘要
该数据集是在对模型 TeeZee/DarkSapling-7B-v1.0 进行评估运行期间自动创建的，用于 Open LLM Leaderboard。
数据集组成
- 数据集包含 63 个配置，每个配置对应一个评估任务。
- 数据集从 1 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。
- 额外的 "results" 配置存储所有运行结果的聚合，用于计算和显示 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_TeeZee__DarkSapling-7B-v1.0", "harness_winogrande_5", split="train")
最新结果
以下是 最新结果 的摘要： python { "all": { "acc": 0.6228272261948034, "acc_stderr": 0.032723127441021765, "acc_norm": 0.6278792920359817, "acc_norm_stderr": 0.03338301615189635, "mc1": 0.2998776009791922, "mc1_stderr": 0.016040352966713627, "mc2": 0.45088578827366993, "mc2_stderr": 0.01466973973064534 }, "harness|arc:challenge|25": { "acc": 0.5861774744027304, "acc_stderr": 0.014392730009221007, "acc_norm": 0.6160409556313993, "acc_norm_stderr": 0.01421244498065189 }, "harness|hellaswag|10": { "acc": 0.6296554471220872, "acc_stderr": 0.004819100456867812, "acc_norm": 0.8259310894244174, "acc_norm_stderr": 0.0037839381501516165 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, # 其他任务的结果... }
配置详情
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config_name: harness_arc_challenge_25
- 分割: 2024_02_10T01_29_46.397110
- 路径: **/details_harness|arc:challenge|25_2024-02-10T01-29-46.397110.parquet
- 分割: latest
- 路径: **/details_harness|arc:challenge|25_2024-02-10T01-29-46.397110.parquet
- 分割: 2024_02_10T01_29_46.397110
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config_name: harness_gsm8k_5
- 分割: 2024_02_10T01_29_46.397110
- 路径: **/details_harness|gsm8k|5_2024-02-10T01-29-46.397110.parquet
- 分割: latest
- 路径: **/details_harness|gsm8k|5_2024-02-10T01-29-46.397110.parquet
- 分割: 2024_02_10T01_29_46.397110
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config_name: harness_hellaswag_10
- 分割: 2024_02_10T01_29_46.397110
- 路径: **/details_harness|hellaswag|10_2024-02-10T01-29-46.397110.parquet
- 分割: latest
- 路径: **/details_harness|hellaswag|10_2024-02-10T01-29-46.397110.parquet
- 分割: 2024_02_10T01_29_46.397110
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config_name: harness_hendrycksTest_5
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- 路径:
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- **/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T01-29-46.397110.parquet
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- **/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T01-29-46.397110.parquet
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- **/details_harness|hendrycksTest-global_facts|5_2024-02-10T01-29-46.397110.parquet
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- **/details_harness|hendrycksTest-machine_learning|5_2024-02-10T01-29-46.397110.parquet
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- **/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T01-29-46.397110.parquet
- **/details_harness|hendrycksTest-nutrition|5_2024-02-10T01-29-46.397110.parquet
- **/details_harness|hendrycksTest-philosophy|5_2024-02-10T01-29-46.397110.parquet
- **/details_harness|hendrycksTest-prehistory|5_2024-02-10T01-29-46.397110.parquet
- **/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T01-29-46.397110.parquet
- **/details_harness|hendrycksTest-professional_law|5_2024-02-10T01-29-46.397110.par
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- 分割: 2024_02_10T01_29_46.397110
