Here is FINAL volume V2023C for interval 06.2023-08.2023 in series of composite safebooru-based rips
03.2023 - 06.2023 volume V2023B
12.2022 - 03.2023 volume V2023A
08.2022 - 11.2022 volume V2022D
05.2022 - 08.2022 volume V2022C and their predecessors
aimed to feed BOORU CHARS datasets 2021 , 2015 , 2022 and FINAL 2023

Following description is (recursively and) borely similar to previous volumes ones because of stable datapump.

This rips are not intended to be “complete and maximum quality” but rather "representative the best of"
to help users not to loose interesting fandom or artist and get all stuff with several clicks.
Another reason to build this megalythe is neural network training over art images.
There are promising results, stay tuned.

Sources used (priorities high to low when deduplicating):

• safebooru.org (ID 44xxxxx) letter S in archive/folder name
• yande.re (with some questionable images in separate Q-folders) letter Y
• danbooru.donmai.us (NSFW subset in Q) D
• e621.net (also with Q) E FURRY !

147.650 images sorted and zipped according aspect ratio (dimensions 2 folders) priorities high to low :

• 43729 “artbook pages” 7x10 (+/- 4%)
• 23755 “wide pages” 3x4 (+/- 10%)
• 29175 “squares” 1x1 (+/- 20%)
• 27038 “wallpapers and computer screens” 3x2 (+/- 40%)
• 23953 “high pages” 2x3 (+/- 40%)

and also for source and (sometimes) ID range, mentioned in folder/archive name.
You can browse pictures directly in archives with FastStone MaxView of something like it.

File names structure : %website% - %id% - %up_to_3_copyrights% ~ %up_to_5_characters% (%up_to_2_artists%).%ext% where

• %copyright% , %character% and %artist% may be used as filter for search on source booru
• %website% + %id% is unique and also may be used to get direct booru url

so you can extract subsets of interest with xcopy (from already unzipped images) or unzipping (from release on the fly) e.g.

for %%F in ("d:\Safebooru 2023c\*.zip") do 7z x -r -o"e:\sortarea\" "%%F" *shiguang*dailiren*
xcopy /s d:\Safebooru 2023c\*shiguang*dailiren* e:\sortarea

Transformations and filters:

• initially filtered Mpixels >= 1.2, width >= 900, height >= 900
• PNG converted to JPG (quality 94%), no animations
• downsize to 60MPix and/or maxsize 9000 px, 18MByte+ images carefully mogrified
• tall/wide stripes dropped or adjusted to aspect ratio 0.4 … 2.1
• manually (yep, plenty of handjob behind this release)
  • comic and 4koma, segmented scans and overtexted covers filtered out
  • real-life photos, no-character landscapes, most of line-arts and primitive chibi thrown away
  • too explicit images (uncensored nipples or vulva, obvious adult actions etc) excluded from “questionable” downloads
  • crops done when large simple or dirty background, most artbooks de-bordered
  • occationally gamma correction, denoise and other nontrivial improvements made
• carefully deduplicatied (with AntiDupl NET up to 4% similarity) along with several past releases

Some meta-information included in tab delimited files with evident header line:

• V2023C_files.TSV post info (size, resolution, MD5 etc) with concatenated copyrights / characters / artists tags (Excel capable)
• V2023C_tags.TSV all tags (incl. general and meta) one tag per line (4.495.126 rows not fit into Excel)

Using some database you can play with SQL and xcopy (from already unzipped images, copypasting query result) anything you want, e.g.

select 'xcopy "d:\'||torr_path||'\'||file_name||'" e:\sortarea ' xc
from files f
join tags t on t.booru=f.booru and t.fid=f.fid
where t.tag like '%erection_under_clothes%' -- potentially NSFW