While the concept (of lossy compression for other things than bitmaps and audio signals), is interesting, CSS is a pretty bad use case although outputs somethin

While the concept (of lossy compression for other things than bitmaps and audio signals), is interesting, CSS is a pretty bad use case although outputs something that still works, would not for most programming code. E.g ML training datasets. Huggingface is filled with interesting stuff often in the gigabytes in size. I'm sure skimming out what follows patterns of redundant or less useful to ML learning algorithms could offer a nice catalogue of datasets quick to download and cleanup. Image sets for ML learning: loss of irrelevant channels and whatnot. Weather forcasting or historical dumps etc