[spidy__]

1. I wrote the content as what i want to mention in the documentation and just used AI to polish it so that its easy to understand, is it hard to understand the documentation right now?

2. Have added the link for downloading both the enwik9 slice and the nyc dataset. Apologies I forgot to add it.

You can get it from here - https://github.com/samyak112/pym-particles/blob/main/README....

3. Other than zip i tested it with zstd19, and now that you mentioned LZMA2 and BZIP2

I got results on enwik9 100mb slice as

zstd - 28mb bzip2 - 30mb lzma2 - 26mb

I will mention these and results from ZPAQ in the readme for both files, thanks for pointing them out!!!

But the thing is this neural compression approach cant be used right now, as it takes hours to compress and de compress a 100mb file so not really usable and more of a fun project.

[IncreasePosts]

These algorithms let you specify a compression level - please note in the docs which you used. The window size can also be adjusted. Zstd might default to 4, which is "goodish compression but fast"

[spidy__]

I tried with zstd 19