You can also use this tool to amplify the data volume for tests.

For example, based on a dataset of 100 million records from ClickBench, I created a dataset of 100 billion records. Here is a description of how to generate this dataset:

https://github.com/ClickHouse/ClickBench/tree/main/clickhous...

Basically, you train a model on the existing dataset, then run the generator multiple times in parallel with different seeds.

This is so cool! Laughed at using the Wolfenstein 3D 'fizzlefade' animation to illustrate pseudo-random permutations