open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2
收藏Hugging Face2023-10-25 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2
下载链接
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资源简介：
该数据集是在Open LLM Leaderboard上对模型Faradaylab/ARIA-70B-V2进行评估时自动创建的。数据集由64个配置组成，每个配置对应一个被评估的任务。数据集是从2次运行中生成的，每次运行在每个配置中表示为特定的分割，分割名称使用运行的时间戳。train分割始终指向最新的结果。此外，还有一个results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。README还提供了如何使用`datasets`库中的`load_dataset`函数加载运行细节的示例。
This dataset was automatically generated during the evaluation of the Faradaylab/ARIA-70B-V2 model on the Open LLM Leaderboard. It comprises 64 configurations, each corresponding to one evaluated task. The dataset is created from two runs, where each run is represented as a specific split under each configuration, with the split name being the timestamp of the run. The 'train' split always references the most recent evaluation results. Additionally, a 'results' configuration stores the aggregated results across all runs, which is utilized to compute and display the aggregate metrics on the Open LLM Leaderboard. The README also provides examples of how to use the `load_dataset` function from the `datasets` library to load the detailed run information.
提供机构：
open-llm-leaderboard
原始信息汇总
数据集概述
数据集简介
该数据集是在对模型Faradaylab/ARIA-70B-V2进行评估运行期间自动创建的，用于Open LLM Leaderboard。
数据集结构
- 数据集包含64个配置，每个配置对应一个评估任务。
- 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。
- "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，用于计算和显示聚合指标在Open LLM Leaderboard上。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_Faradaylab__ARIA-70B-V2", "harness_winogrande_5", split="train")
最新结果
以下是2023-10-25T19:48:19.078343运行的最新结果： python { "all": { "em": 0.12174916107382551, "em_stderr": 0.0033487438315364985, "f1": 0.18035549496644265, "f1_stderr": 0.0034191831504093964, "acc": 0.552493667621485, "acc_stderr": 0.011672124185183144 }, "harness|drop|3": { "em": 0.12174916107382551, "em_stderr": 0.0033487438315364985, "f1": 0.18035549496644265, "f1_stderr": 0.0034191831504093964 }, "harness|gsm8k|5": { "acc": 0.2880970432145565, "acc_stderr": 0.012474469737197917 }, "harness|winogrande|5": { "acc": 0.8168902920284136, "acc_stderr": 0.01086977863316837 } }
配置详情
-
harness_arc_challenge_25
- 分割: 2023_09_14T05_14_04.383698
- 路径:
**/details_harness|arc:challenge|25_2023-09-14T05-14-04.383698.parquet - 分割: latest
- 路径:
**/details_harness|arc:challenge|25_2023-09-14T05-14-04.383698.parquet
-
harness_drop_3
- 分割: 2023_10_25T19_48_19.078343
- 路径:
**/details_harness|drop|3_2023-10-25T19-48-19.078343.parquet - 分割: latest
- 路径:
**/details_harness|drop|3_2023-10-25T19-48-19.078343.parquet
-
harness_gsm8k_5
- 分割: 2023_10_25T19_48_19.078343
- 路径:
**/details_harness|gsm8k|5_2023-10-25T19-48-19.078343.parquet - 分割: latest
- 路径:
**/details_harness|gsm8k|5_2023-10-25T19-48-19.078343.parquet
-
harness_hellaswag_10
- 分割: 2023_09_14T05_14_04.383698
- 路径:
**/details_harness|hellaswag|10_2023-09-14T05-14-04.383698.parquet - 分割: latest
- 路径:
**/details_harness|hellaswag|10_2023-09-14T05-14-04.383698.parquet
-
harness_hendrycksTest_5
- 分割: 2023_09_14T05_14_04.383698
- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-anatomy|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-astronomy|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-business_ethics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_biology|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_chemistry|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_computer_science|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_mathematics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_medicine|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-college_physics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-computer_security|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-econometrics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-formal_logic|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-global_facts|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_biology|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_chemistry|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_computer_science|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_european_history|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_geography|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_mathematics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_physics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_psychology|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_statistics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_us_history|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-high_school_world_history|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-human_aging|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-human_sexuality|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-international_law|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-jurisprudence|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-logical_fallacies|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-machine_learning|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-management|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-marketing|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-medical_genetics|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-miscellaneous|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-moral_disputes|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-moral_scenarios|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-nutrition|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-philosophy|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-prehistory|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-professional_accounting|5_2023-09-14T05-14-04.383698.parquet**/details_harness|hendrycksTest-professional_law|5_2023-09-14T05-14-04.383698.parquet- `**/details_harness|hendrycksTest-professional_medicine|5_
