We aim to study the performance of various data augmentation methods on the Swedish language, and also the combinations of the different methods. This will be done on the Swe-NERC Version 1 dataset. In trying to achieve this goal we will (if a successful result) create an updated new golden dataset resource for Spårkbanken Text, Swe-NERC Version 2. The primary use of the dataset is to train machine learning models for named entity recognition tasks.