Need a little touchup on the script still, but I merged together tag translations from two sources (1, 2) and cleaned up a lot of the cruft, ending up with 8,238 tags and (mostly-reasonable) translations. Next will probably be adding a uniq() function to cover duplicates created by the translations.
Of course, the moment I ran the script on this small set of images, it immediately barfed out 107 tags that weren’t on the list…
(Seriously, though, in all these years, no one had added translations for horn, saké, bento, white_hair, black_bra, long_hair, frilly_panties, or high_quality_panties? Most of the rest were series-related, at least)
Working on upgrading my posting script to extract keywords and proper URLs from Pixiv downloads. PixivPy mostly works, although Python is my least-favorite language to hack about in. I haven’t found a good mapping table to create English versions of most tags, even though I know Pixiv has one. The API is kind of goofy, since it’s straightforward REST, but relies on pretending you’re the official Android/iOS client to get authentication to work. Documentation is lacking in two languages.
The power went out at home (~4,000 people affected…) while I was prepping this set, so no names for now.
[Update: filled in most of the first half; annoyed that Google just returns “girl” for the first one…]
Once again into the NAS, selecting items of interest from a random subset of the “hc” folder! I’ll fill in more names later, but if you want to play along at home, read this entry in Chrome, right-click, and select “Search Google for Image”.
No, this collection does not include the sleek smiley cutie from the Makudonarudo song, Meu Ninomiya. Shame about that, but her gravure portfolio is rather slim. One of her movies has been subtitled and made available on Amazon Prime Video, though.
Consolidating all my files onto the new NAS led me to find a variety of non-animated cheesecake. I don’t have names for all of these, but I’ll fill them in as I come across them.