open-llm-leaderboard-old/details_wang7776__Mistral-7B-Instruct-v0.2-sparsity-20
收藏数据集概述
数据集简介
该数据集是在对模型 wang7776/Mistral-7B-Instruct-v0.2-sparsity-20 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：63个配置，每个配置对应一个评估任务。
- 创建来源：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" 分割始终指向最新结果。
- 聚合结果：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_wang7776__Mistral-7B-Instruct-v0.2-sparsity-20", "harness_winogrande_5", split="train")
最新结果
以下是 2024-01-15T10:42:05.147679 运行的最新结果：
python { "all": { "acc": 0.47207806761545057, "acc_stderr": 0.0343560515515407, "acc_norm": 0.4785715950847517, "acc_norm_stderr": 0.03514049991292305, "mc1": 0.30966952264381886, "mc1_stderr": 0.016185744355144905, "mc2": 0.47217481958020674, "mc2_stderr": 0.01506601596455064 }, "harness|arc:challenge|25": { "acc": 0.4761092150170648, "acc_stderr": 0.014594701798071654, "acc_norm": 0.5264505119453925, "acc_norm_stderr": 0.014590931358120174 }, "harness|hellaswag|10": { "acc": 0.5748854809798845, "acc_stderr": 0.004933500261683596, "acc_norm": 0.767078271260705, "acc_norm_stderr": 0.004218289279767987 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, # 其他任务的结果... }
配置详情
-
harness_arc_challenge_25
- 分割：2024_01_15T10_42_05.147679, latest
- 路径：
**/details_harness|arc:challenge|25_2024-01-15T10-42-05.147679.parquet
-
harness_gsm8k_5
- 分割：2024_01_15T10_42_05.147679, latest
- 路径：
**/details_harness|gsm8k|5_2024-01-15T10-42-05.147679.parquet
-
harness_hellaswag_10
- 分割：2024_01_15T10_42_05.147679, latest
- 路径：
**/details_harness|hellaswag|10_2024-01-15T10-42-05.147679.parquet
-
harness_hendrycksTest_5
- 分割：2024_01_15T10_42_05.147679, latest
- 路径：
**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-anatomy|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-astronomy|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-business_ethics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_biology|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_chemistry|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_computer_science|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_mathematics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_medicine|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-college_physics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-computer_security|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-econometrics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-formal_logic|5_2024-01-15T10-42-05.147679.parquet,**/details_harness|hendrycksTest-global_facts|5_2024-01-15T10-42-05.147679.parquet}
