open-llm-leaderboard/details_togethercomputer__LLaMA-2-7B-32K
收藏Hugging Face2023-10-13 更新2024-03-04 收录
下载链接：
https://hf-mirror.com/datasets/open-llm-leaderboard/details_togethercomputer__LLaMA-2-7B-32K
下载链接
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资源简介：
该数据集是在模型 togethercomputer/LLaMA-2-7B-32K 在 Open LLM Leaderboard 上进行评估时自动生成的。数据集由 64 个配置组成，每个配置对应一个被评估的任务。它由 3 次运行生成，每次运行在每个配置中表示为特定的分割，分割名称由运行的时间戳命名。train 分割始终指向最新的结果。一个名为 results 的额外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 还提供了一个示例，展示了如何使用 Python 中的 datasets 库加载运行中的详细信息。
This dataset was automatically generated when the model togethercomputer/LLaMA-2-7B-32K was evaluated on the Open LLM Leaderboard. The dataset consists of 64 configurations, each corresponding to one evaluated task. It is compiled from three experimental runs, where each run is represented as a dedicated split under every configuration, and split names are derived from the timestamp of the corresponding run. The 'train' split always points to the most recent evaluation results. An additional configuration named 'results' stores the aggregated results across all runs, which are used to calculate and display the aggregated metrics on the Open LLM Leaderboard. The README also provides an example demonstrating how to use the datasets library in Python to load detailed information from individual runs.
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 togethercomputer/LLaMA-2-7B-32K 进行评估运行期间自动创建的，用于在 Open LLM Leaderboard 上展示评估结果。
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 3 次运行中创建，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" 分割总是指向最新的结果。
- 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。
数据加载示例
python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_togethercomputer__LLaMA-2-7B-32K", "harness_winogrande_5", split="train")
最新结果
以下是 2023-10-13T06:14:11.613240 运行的最新结果： python { "all": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.05483536073825504, "f1_stderr": 0.0013143577122089422, "acc": 0.3811179333318573, "acc_stderr": 0.009116764305556838 }, "harness|drop|3": { "em": 0.001572986577181208, "em_stderr": 0.0004058451132417743, "f1": 0.05483536073825504, "f1_stderr": 0.0013143577122089422 }, "harness|gsm8k|5": { "acc": 0.043214556482183475, "acc_stderr": 0.0056009875152378515 }, "harness|winogrande|5": { "acc": 0.7190213101815311, "acc_stderr": 0.012632541095875824 } }
配置详情
-
config_name: harness_arc_challenge_25
- split: 2023_08_09T09_44_03.510382
- path: **/details_harness|arc:challenge|25_2023-08-09T09:44:03.510382.parquet
- split: 2023_08_09T14_19_55.056276
- path: **/details_harness|arc:challenge|25_2023-08-09T14:19:55.056276.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2023-08-09T14:19:55.056276.parquet
- split: 2023_08_09T09_44_03.510382
-
config_name: harness_drop_3
- split: 2023_10_13T06_14_11.613240
- path: **/details_harness|drop|3_2023-10-13T06-14-11.613240.parquet
- split: latest
- path: **/details_harness|drop|3_2023-10-13T06-14-11.613240.parquet
- split: 2023_10_13T06_14_11.613240
-
config_name: harness_gsm8k_5
- split: 2023_10_13T06_14_11.613240
- path: **/details_harness|gsm8k|5_2023-10-13T06-14-11.613240.parquet
- split: latest
- path: **/details_harness|gsm8k|5_2023-10-13T06-14-11.613240.parquet
- split: 2023_10_13T06_14_11.613240
-
config_name: harness_hellaswag_10
- split: 2023_08_09T09_44_03.510382
- path: **/details_harness|hellaswag|10_2023-08-09T09:44:03.510382.parquet
- split: 2023_08_09T14_19_55.056276
- path: **/details_harness|hellaswag|10_2023-08-09T14:19:55.056276.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2023-08-09T14:19:55.056276.parquet
- split: 2023_08_09T09_44_03.510382
-
config_name: harness_hendrycksTest_5
- split: 2023_08_09T09_44_03.510382
- path: **/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-anatomy|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-astronomy|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-business_ethics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_biology|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_medicine|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-college_physics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-computer_security|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-econometrics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-formal_logic|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-global_facts|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-human_aging|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-international_law|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-machine_learning|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-management|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-marketing|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_harness|hendrycksTest-nutrition|5_2023-08-09T09:44:03.510382.parquet
- path: **/details_
- split: 2023_08_09T09_44_03.510382
