open-llm-leaderboard-old/details_DopeorNope__LaOT
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_DopeorNope__LaOT
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资源简介：
该数据集是在Open LLM Leaderboard上对模型DopeorNope/LaOT进行评估时自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。数据集是从2次运行中创建的，每次运行在每个配置中表示为特定的分割。train分割始终指向最新的结果。此外，名为results的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还提供了如何使用`load_dataset`函数加载运行中的详细信息的示例。
该数据集是在Open LLM Leaderboard上对模型DopeorNope/LaOT进行评估时自动创建的。数据集由64个配置组成，每个配置对应一个评估任务。数据集是从2次运行中创建的，每次运行在每个配置中表示为特定的分割。train分割始终指向最新的结果。此外，名为results的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还提供了如何使用`load_dataset`函数加载运行中的详细信息的示例。
提供机构：
open-llm-leaderboard-old
原始信息汇总
数据集概述
该数据集是在评估模型 DopeorNope/LaOT 在 Open LLM Leaderboard 上的运行过程中自动创建的。
数据集组成
- 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 2 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_DopeorNope__LaOT", "harness_winogrande_5", split="train")
最新结果
以下是 2023-10-28T14:15:27.511951 运行的最新结果： python { "all": { "em": 0.26321308724832215, "em_stderr": 0.004509873314169961, "f1": 0.3275041946308728, "f1_stderr": 0.004460519232677794, "acc": 0.3705603788476717, "acc_stderr": 0.006155257905496687 }, "harness|drop|3": { "em": 0.26321308724832215, "em_stderr": 0.004509873314169961, "f1": 0.3275041946308728, "f1_stderr": 0.004460519232677794 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.7411207576953434, "acc_stderr": 0.012310515810993374 } }
配置详情
-
harness_arc_challenge_25
- 分割: 2023_10_04T06_28_47.978535
- 路径: **/details_harness|arc:challenge|25_2023-10-04T06-28-47.978535.parquet
- 分割: latest
- 路径: **/details_harness|arc:challenge|25_2023-10-04T06-28-47.978535.parquet
- 分割: 2023_10_04T06_28_47.978535
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harness_drop_3
- 分割: 2023_10_28T14_15_27.511951
- 路径: **/details_harness|drop|3_2023-10-28T14-15-27.511951.parquet
- 分割: latest
- 路径: **/details_harness|drop|3_2023-10-28T14-15-27.511951.parquet
- 分割: 2023_10_28T14_15_27.511951
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harness_gsm8k_5
- 分割: 2023_10_28T14_15_27.511951
- 路径: **/details_harness|gsm8k|5_2023-10-28T14-15-27.511951.parquet
- 分割: latest
- 路径: **/details_harness|gsm8k|5_2023-10-28T14-15-27.511951.parquet
- 分割: 2023_10_28T14_15_27.511951
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harness_hellaswag_10
- 分割: 2023_10_04T06_28_47.978535
- 路径: **/details_harness|hellaswag|10_2023-10-04T06-28-47.978535.parquet
- 分割: latest
- 路径: **/details_harness|hellaswag|10_2023-10-04T06-28-47.978535.parquet
- 分割: 2023_10_04T06_28_47.978535
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harness_hendrycksTest_5
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- **/details_harness|hendrycksTest-nutrition|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-philosophy|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-prehistory|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-professional_accounting|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-professional_law|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-professional_medicine|5_2023-10-04T06-28-47.978535.parquet
- **/details_harness|hendrycksTest-professional_psychology|5_202
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