> Information theoretically speaking, how do you generate a "synthetic" dataset (as the article calls it) with the same fidelity as an original dataset without

> Information theoretically speaking, how do you generate a "synthetic" dataset (as the article calls it) with the same fidelity as an original dataset without having access to a critical basis set of the original? You don't. It's not useless as a technique, but it is limited. IMO more limited than the article's author presents, but they do touch on some of the useful bits.