open-llm-leaderboard-old/details_OpenBuddy__openbuddy-codellama2-34b-v11.1-bf16
收藏Hugging Face2023-10-28 更新2024-06-22 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard-old/details_OpenBuddy__openbuddy-codellama2-34b-v11.1-bf16
下载链接
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资源简介：
该数据集是在模型OpenBuddy/openbuddy-codellama2-34b-v11.1-bf16在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。它由3次运行创建，每次运行在每个配置中表示为特定的分割。train分割始终指向最新结果。一个名为results的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。README还提供了一个如何使用Python中的datasets库加载运行细节的示例。
该数据集是在模型OpenBuddy/openbuddy-codellama2-34b-v11.1-bf16在Open LLM Leaderboard上的评估运行期间自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。它由3次运行创建，每次运行在每个配置中表示为特定的分割。train分割始终指向最新结果。一个名为results的额外配置存储了所有运行的聚合结果，这些结果用于计算和显示Open LLM Leaderboard上的聚合指标。README还提供了一个如何使用Python中的datasets库加载运行细节的示例。
提供机构：
open-llm-leaderboard-old
原始信息汇总
数据集概述
数据集摘要
该数据集是在模型OpenBuddy/openbuddy-codellama2-34b-v11.1-bf16的评估运行期间自动创建的，用于Open LLM Leaderboard。数据集包含64个配置，每个配置对应一个评估任务。
数据集结构
数据集由3次运行创建，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。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_OpenBuddy__openbuddy-codellama2-34b-v11.1-bf16", "harness_winogrande_5", split="train")
最新结果
以下是2023-10-28T03:42:28.997128的最新结果： python { "all": { "em": 0.360633389261745, "em_stderr": 0.004917536525106699, "f1": 0.4180935402684579, "f1_stderr": 0.004778710905980245, "acc": 0.5268440191410464, "acc_stderr": 0.012939810741097795 }, "harness|drop|3": { "em": 0.360633389261745, "em_stderr": 0.004917536525106699, "f1": 0.4180935402684579, "f1_stderr": 0.004778710905980245 }, "harness|gsm8k|5": { "acc": 0.3457164518574678, "acc_stderr": 0.013100422990441578 }, "harness|winogrande|5": { "acc": 0.7079715864246251, "acc_stderr": 0.012779198491754013 } }
配置详情
-
config_name: harness_arc_challenge_25
- data_files:
- split: 2023_10_03T23_40_22.620996
- path: **/details_harness|arc:challenge|25_2023-10-03T23-40-22.620996.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2023-10-03T23-40-22.620996.parquet
- split: 2023_10_03T23_40_22.620996
- data_files:
-
config_name: harness_drop_3
- data_files:
- split: 2023_10_27T21_47_43.594265
- path: **/details_harness|drop|3_2023-10-27T21-47-43.594265.parquet
- split: 2023_10_28T03_42_28.997128
- path: **/details_harness|drop|3_2023-10-28T03-42-28.997128.parquet
- split: latest
- path: **/details_harness|drop|3_2023-10-28T03-42-28.997128.parquet
- split: 2023_10_27T21_47_43.594265
- data_files:
-
config_name: harness_gsm8k_5
- data_files:
- split: 2023_10_27T21_47_43.594265
- path: **/details_harness|gsm8k|5_2023-10-27T21-47-43.594265.parquet
- split: 2023_10_28T03_42_28.997128
- path: **/details_harness|gsm8k|5_2023-10-28T03-42-28.997128.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2023-10-28T03-42-28.997128.parquet
- split: 2023_10_27T21_47_43.594265
- data_files:
-
config_name: harness_hellaswag_10
- data_files:
- split: 2023_10_03T23_40_22.620996
- path: **/details_harness|hellaswag|10_2023-10-03T23-40-22.620996.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2023-10-03T23-40-22.620996.parquet
- split: 2023_10_03T23_40_22.620996
- data_files:
-
config_name: harness_hendrycksTest_5
- data_files:
- split: 2023_10_03T23_40_22.620996
- path:
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- **/details_harness|hendrycksTest-anatomy|5_2023-10-03T23-40-22.620996.parquet
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- **/details_harness|hendrycksTest-business_ethics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-clinical_knowledge|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-college_biology|5_2023-10-03T23-40-22.620996.parquet
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- **/details_harness|hendrycksTest-global_facts|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_biology|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_chemistry|5_2023-10-03T23-40-22.620996.parquet
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- **/details_harness|hendrycksTest-high_school_european_history|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_geography|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_mathematics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_microeconomics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_physics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_psychology|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_statistics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_us_history|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-high_school_world_history|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-human_aging|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-human_sexuality|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-international_law|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-jurisprudence|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-logical_fallacies|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-machine_learning|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-management|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-marketing|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-medical_genetics|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-miscellaneous|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-moral_disputes|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-moral_scenarios|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-nutrition|5_2023-10-03T23-40-22.620996.parquet
- **/details_harness|hendrycksTest-philosophy|5_2023-10-03T23-4
- path:
- split: 2023_10_03T23_40_22.620996
- data_files:
