USS-Inferprise/Slopasaurus-Training-Slop-Stabilized

该数据集是经过修改的版本，基于USS-Inferprise/Slopasaurus-Training-Slop和yahma/alpaca-cleaned数据集。修改包括：注入|SLOP|作为激活词以创建slop内容；替换原型名称以防止过度训练原型标记；并添加了1000行来自yahma/alpaca-cleaned的常规数据。该数据集最终用于训练Slopasaurus模型。This modified dataset using USS-Inferprise/Slopasaurus-Training-Slop and yahma/alpaca-cleaned. Methodology includes: Inject |SLOP| as activation word for slop creation; Replace the archetype names with personal names to prevent overtraining of the archetype tokens; Added 1000 conventional rows from yahma/alpaca-cleaned. This repo is the resulting training set that we used to train Slopasaurus.