yanzhiqiang/details_yanzhiqiang__smollm3-dpo-aligned_private

该数据集是在对模型[yanzhiqiang/smollm3-dpo-aligned](https://huggingface.co/yanzhiqiang/smollm3-dpo-aligned)进行评估过程中自动创建的。数据集包含3个配置，每个配置对应一个评估任务。数据集由1次运行创建，每次运行在各个配置中都有特定的分割，分割名称使用运行的timestamp命名。train分割始终指向最新的结果。还有一个额外的配置results存储所有运行的综合结果。可以使用datasets库加载数据集，指定配置和分割。README还包含了来自运行的最新结果，提供了不同任务的准确度指标和其他统计数据。然而，它缺乏关于数据集创建过程、注释和潜在偏差或限制的信息。

Dataset automatically created during the evaluation run of model [yanzhiqiang/smollm3-dpo-aligned](https://huggingface.co/yanzhiqiang/smollm3-dpo-aligned). The dataset is composed of 3 configurations, each corresponding to one of the evaluated tasks. It has been created from 1 run(s), with each run having specific splits named by the timestamp. The train split always points to the latest results. An additional configuration results stores all aggregated results of the run. The dataset can be loaded using the datasets library with specific configurations and splits. The README includes the latest results from the run, providing accuracy metrics and other statistics for different tasks. However, it lacks information on the datasets creation process, annotations, and potential biases or limitations.