libzim

You can still bring Wikipedia offline on a laptop (and mobile phone, for some of the larger ones), it is just that you'd need around 100GB instead. There is even a library[0] you can use to do your own wikipedia viewer. [0] https://github.com/openzim/libzim

I meant the Kiwix dump (https://download.kiwix.org/zim/wikipedia_en_all_nopic.zim – careful, 60GB!). At a first glance, the Wikimedia XML dump does not look substantially different from what Kiwix/ZIM does with compressed HTML: They're both compressed (bz2 for the Wikimedia dump, zstd or LZMA for Kiwix/ZIM), and both compress multiple files at once, so inter-file redundancy should hopefully be significantly reduced. HTML seems a bit more verbose than the Mediawiki syntax (plus the XML header for each article), but I'd be surprised if that actually accounted for a 3x difference in size. Then again, Kiwix seems to have experimented with shared dictionary brotli compression, which supposedly yields an >2x improvement: https://github.com/openzim/libzim/issues/144 I wonder if their current zstd implementation also uses shared dictionaries. If

I'm doing my part o7 It's seriously a very interesting and useful dataset that you can do a lot of fun stuff with, if you grab one of the zims without pictures it's of very manageable size too of just a few dozen gigabytes compressed, and there are reasonably good library support in many languages. Last point doesn't go for Java. Only one I could find for that was this <https://github.com/openzim/libzim>, it's antique and extremely poorly optimized and lacks support for newer compression schemes. I have fixed the performance and added support for zstd compression, but not published the code as it's extremely not finished and major features in the original codebase are very broken. I'll get around to sharing the code some day but right now it's basically permanently mid surgery as I've only patched so far as to get it to extract all or spe

other projects in that space are: cython (need to manually do wrapping), xdress, SWIG, SIP, clif. Does anyone have experience with using these and able to compare/contrast? I'm afraid of C++, but if I can wrap it and learn how to use from a python REPL, I think I can handle... any recommendations/tuotirals/howtos would be much appreciated. (The library I want to wrap is https://github.com/openzim/libzim )