open-llm-leaderboard/details_quantumaikr__quantumairk-llama-2-70B-instruct
收藏资源简介:
该数据集是在评估模型quantumaikr/quantumairk-llama-2-70B-instruct时自动创建的,主要用于在Open LLM Leaderboard上进行评估。数据集包含61个配置,每个配置对应一个评估任务。数据集由1次运行生成,每次运行的结果作为一个特定的分割存储,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,还有一个名为results的配置,存储了所有运行的聚合结果,用于在Open LLM Leaderboard上计算和显示聚合指标。
This dataset was automatically generated during the evaluation of the model quantumaikr/quantumairk-llama-2-70B-instruct, and is primarily intended for evaluation on the Open LLM Leaderboard. It contains 61 configurations, each corresponding to one evaluation task. The dataset is created via a single run, with the results of each run stored as a specific data split, where the split name uses the timestamp of the corresponding run. The "train" split always points to the most recent results. Additionally, there is a configuration named "results" that stores the aggregated results across all runs, which is used to calculate and display aggregate metrics on the Open LLM Leaderboard.
数据集概述
数据集摘要
该数据集是在对模型 quantumaikr/quantumairk-llama-2-70B-instruct 进行评估运行期间自动创建的,用于 Open LLM Leaderboard。
数据集组成
- 数据集包含 61 个配置,每个配置对应一个评估任务。
- 数据集从 1 次运行中创建,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。
- 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 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_quantumaikr__quantumairk-llama-2-70B-instruct", "harness_truthfulqa_mc_0", split="train")
最新结果
以下是 最新结果来自 run 2023-09-03T17:56:31.707465 的摘要:
python { "all": { "acc": 0.7034684893089378, "acc_stderr": 0.03095672218595075, "acc_norm": 0.7074134061674743, "acc_norm_stderr": 0.03092655497572306, "mc1": 0.3818849449204406, "mc1_stderr": 0.017008101939163495, "mc2": 0.5442099278190564, "mc2_stderr": 0.014507128903598229 }, ... }
配置详情
-
config_name: harness_arc_challenge_25
- split: 2023_09_03T17_56_31.707465
- path: **/details_harness|arc:challenge|25_2023-09-03T17:56:31.707465.parquet
- split: latest
- path: **/details_harness|arc:challenge|25_2023-09-03T17:56:31.707465.parquet
- split: 2023_09_03T17_56_31.707465
-
config_name: harness_hellaswag_10
- split: 2023_09_03T17_56_31.707465
- path: **/details_harness|hellaswag|10_2023-09-03T17:56:31.707465.parquet
- split: latest
- path: **/details_harness|hellaswag|10_2023-09-03T17:56:31.707465.parquet
- split: 2023_09_03T17_56_31.707465
-
config_name: harness_hendrycksTest_5
- split: 2023_09_03T17_56_31.707465
- path:
- **/details_harness|hendrycksTest-abstract_algebra|5_2023-09-03T17:56:31.707465.parquet
- **/details_harness|hendrycksTest-anatomy|5_2023-09-03T17:56:31.707465.parquet
- ...
- path:
- split: latest
- path:
- **/details_harness|hendrycksTest-abstract_algebra|5_2023-09-03T17:56:31.707465.parquet
- **/details_harness|hendrycksTest-anatomy|5_2023-09-03T17:56:31.707465.parquet
- ...
- path:
- split: 2023_09_03T17_56_31.707465



