selfcorrexp2/llama3_sft_balanced_gen2_augmath_type4

该数据集包含了多个文本字段，如选中的文本(chosen_txt)、被拒绝的文本(rejected_txt)、真实标签(gt)等，以及一个浮点数字段margin。从字段名称上推测，这可能是一个文本分类或排序任务的数据集。训练集(train)包含3804个例子，数据集的总大小为27733869字节。由于README中未提供具体描述，因此详细的应用场景和任务目标不明确。

The dataset includes multiple text fields such as chosen text (chosen_txt), rejected text (rejected_txt), ground truth (gt), etc., as well as a floating-point field margin. It is speculated from the field names that this may be a text classification or sorting task dataset. The training set (train) contains 3804 examples, and the total size of the dataset is 27733869 bytes. As the README does not provide a specific description, the detailed application scenario and task objective are not clear.