open-llm-leaderboard-old/details_DrNicefellow__Mistral-1-from-Mixtral-8x7B-v0.1
收藏Hugging Face2024-04-15 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_DrNicefellow__Mistral-1-from-Mixtral-8x7B-v0.1
下载链接
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资源简介：
数据集是在评估模型DrNicefellow/Mistral-1-from-Mixtral-8x7B-v0.1时自动创建的，评估在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，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示Open LLM Leaderboard上的聚合指标。
数据集是在评估模型DrNicefellow/Mistral-1-from-Mixtral-8x7B-v0.1时自动创建的，评估在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，每次运行可以在每个配置的特定分割中找到，分割以运行的时间戳命名。train分割始终指向最新结果。此外，results配置存储了所有运行的聚合结果，并用于计算和显示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
数据集简介
该数据集是在评估模型DrNicefellow/Mistral-1-from-Mixtral-8x7B-v0.1在Open LLM Leaderboard上的自动创建的。
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。
- 数据集由1次运行创建，每个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。
- 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_DrNicefellow__Mistral-1-from-Mixtral-8x7B-v0.1", "harness_winogrande_5", split="train")
最新结果
以下是最新结果来自2024-04-15T11:15:25.413522的摘要： python { "all": { "acc": 0.24638682973542, "acc_stderr": 0.03027593109624199, "acc_norm": 0.24754912726025233, "acc_norm_stderr": 0.03108475528941473, "mc1": 0.2386780905752754, "mc1_stderr": 0.014922629695456416, "mc2": 0.48096228097027055, "mc2_stderr": 0.016148972368879536 }, "harness|arc:challenge|25": { "acc": 0.2158703071672355, "acc_stderr": 0.012022975360030674, "acc_norm": 0.28668941979522183, "acc_norm_stderr": 0.013214986329274758 }, "harness|hellaswag|10": { "acc": 0.2581159131647082, "acc_stderr": 0.004367037632204526, "acc_norm": 0.2634933280223063, "acc_norm_stderr": 0.004396273173717454 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.04163331998932268, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932268 }, # 其他任务的结果... }
配置详情
-
config_name: harness_arc_challenge_25
- split: 2024_04_15T11_15_25.413522
- path: **/details_harness|arc:challenge|25_2024-04-15T11-15-25.413522.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2024-04-15T11-15-25.413522.parquet
- split: 2024_04_15T11_15_25.413522
-
config_name: harness_gsm8k_5
- split: 2024_04_15T11_15_25.413522
- path: **/details_harness|gsm8k|5_2024-04-15T11-15-25.413522.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2024-04-15T11-15-25.413522.parquet
- split: 2024_04_15T11_15_25.413522
-
config_name: harness_hellaswag_10
- split: 2024_04_15T11_15_25.413522
- path: **/details_harness|hellaswag|10_2024-04-15T11-15-25.413522.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2024-04-15T11-15-25.413522.parquet
- split: 2024_04_15T11_15_25.413522
-
config_name: harness_hendrycksTest_5
- split: 2024_04_15T11_15_25.413522
- path:
- **/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T11-15-25.413522.parquet
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- **/details_harness|hendrycksTest-astronomy|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-business_ethics|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-college_biology|5_2024-04-15T11-15-25.413522.parquet
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- **/details_harness|hendrycksTest-computer_security|5_2024-04-15T11-15-25.413522.parquet
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- **/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T11-15-25.413522.parquet
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- **/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-human_aging|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T11-15-25.413522.parquet
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- **/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-machine_learning|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-management|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-marketing|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-nutrition|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-philosophy|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-prehistory|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T11-15-25.413522.parquet
- **/details_harness|hendrycksTest-professional_law|5_
- path:
- split: 2024_04_15T11_15_25.413522
