DSS does not have a builtin oversampling mechanism.
DSS has a "class rebalancing" sampling method. You could use it, either for the Explore / Prepare view, as dataset sampling in machine learning, or in a dedicated sampling recipe that will give you more balanced data.
However, this "class rebalancing" sampling method only undersamples, it never oversamples. It is also best suited for columns with reasonably low cardinality.
At the moment, if you want to oversample some rows, the best way would be to use a Python recipe (assuming your dataset fits in memory) or a PySpark/SparkR/Spark-Scala recipe else.