open-llm-leaderboard-old/details_h2oai__h2o-danube-1.8b-chat
收藏数据集概述
数据集简介
该数据集是在评估模型 h2oai/h2o-danube-1.8b-chat 在 Open LLM Leaderboard 上的自动创建的。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
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拆分,拆分名称使用运行的时间戳。"train" 拆分始终指向最新的结果。
配置详情
数据集包含多个配置,每个配置对应不同的任务和拆分。以下是部分配置的示例:
-
配置名称:
harness_arc_challenge_25- 数据文件:
- 拆分:
2024_02_01T23_01_46.561658- 路径:
**/details_harness|arc:challenge|25_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
latest- 路径:
**/details_harness|arc:challenge|25_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
- 数据文件:
-
配置名称:
harness_gsm8k_5- 数据文件:
- 拆分:
2024_02_01T23_01_46.561658- 路径:
**/details_harness|gsm8k|5_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
latest- 路径:
**/details_harness|gsm8k|5_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
- 数据文件:
-
配置名称:
harness_hellaswag_10- 数据文件:
- 拆分:
2024_02_01T23_01_46.561658- 路径:
**/details_harness|hellaswag|10_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
latest- 路径:
**/details_harness|hellaswag|10_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
- 数据文件:
-
配置名称:
harness_hendrycksTest_5- 数据文件:
- 拆分:
2024_02_01T23_01_46.561658- 路径:
**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-anatomy|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-astronomy|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-business_ethics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_biology|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_chemistry|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_computer_science|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_mathematics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_medicine|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-college_physics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-computer_security|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-econometrics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-formal_logic|5_2024-02-01T23-01-46.561658.parquet**/details_harness|hendrycksTest-global_facts|5_2024-02-01T23-01-46.561658.parquet
- 路径:
- 拆分:
- 数据文件:
最新结果
以下是 2024-02-01T23:01:46.561658 运行的最新结果:
python { "all": { "acc": 0.3403400293103947, "acc_stderr": 0.03328323264170753, "acc_norm": 0.3412403351985156, "acc_norm_stderr": 0.03400489086266728, "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834557, "mc2": 0.41637248299191104, "mc2_stderr": 0.01467700936265024 }, "harness|arc:challenge|25": { "acc": 0.3856655290102389, "acc_stderr": 0.01422425097325718, "acc_norm": 0.4112627986348123, "acc_norm_stderr": 0.014379441068522082 }, "harness|hellaswag|10": { "acc": 0.5066719776936865, "acc_stderr": 0.004989337148572074, "acc_norm": 0.6806413065126469, "acc_norm_stderr": 0.004652753439460153 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.42962962962962964, "acc_stderr": 0.04276349494376599, "acc_norm": 0.42962962962962964, "acc_norm_stderr": 0.04276349494376599 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3157894736842105, "acc_stderr": 0.0378272898086547, "acc_norm": 0.3157894736842105, "acc_norm_stderr": 0.0378272898086547 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.3471698113207547, "acc_stderr": 0.029300101705549652, "acc_norm": 0.3471698113207547, "acc_norm_stderr": 0.029300101705549652 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2638888888888889, "acc_stderr": 0.03685651095897532, "acc_norm": 0.2638888888888889, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.28, "acc_stderr": 0.04512608598542127, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542127 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.31213872832369943, "acc_stderr": 0.035331333893236574, "acc_norm": 0.31213872832369943, "acc_norm_stderr": 0.035331333893236574 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.12745098039215685, "acc_stderr": 0.033182249219420756, "acc_norm": 0.12745098039215685, "acc_norm_stderr": 0.033182249219420756 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.2553191489361702, "acc_stderr": 0.02850485647051419, "acc_norm": 0.2553191489361702, "acc_norm_stderr": 0.02850485647051419 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2719298245614035, "acc_stderr": 0.041857744240220554, "acc_norm": 0.2719298245614035, "acc_norm_stderr": 0.041857744240220554 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.32413793103448274, "acc_stderr": 0.03900432069185553, "acc_norm": 0.32413793103448274, "acc_norm_stderr": 0.03



