Here is a dataset adjacent and similar to BOORU CHARS project but devoted to erotic posing and scenes.
It covers rating:questionable images kicked off from BOORU CHARS and some “least pornografic” subset
of rating:explicit with filtered active genitalia usage, extensive bodily fluids presence and penis exposure.
Posting dates range from very raise of imageboards era until 10.2024.
There is a substantial share of furry for objects diversity.

515850 images processed and arranged mostly like in BOORU CHARS :

• images initially filtered Mpixels>=0.48, shorter_side>=600 px, volume>=60000 bytes, no animations
  stripes dropped or cropped to aspect ratio 0.5…2
• PNG converted to JPG with downsampling to longer side mostly in range 1024…1920 px
• verbose file naming used "%website% - %id% - %up_to_3_copyrights% ~ %up_to_5_characters% (%up_to_2_artists%).jpg"
  files uniquely identified by “%website%+%id%”
• some general image statistics got with EXIFTOOL and IMAGE MAGICK
• deep content analisys include
  • CRAFT text detector to estimate total size and number of text pieces
  • Ultralitics YOLO based torso components detector with custom PyTorch model
• all real-life photos and no-character scenes, most of comic and N-koma, overtexted images and line-arts filtered out
• a lot of semi-automated analysis completed to eliminate evident hentai, when tags and detections thoroughly used
• images deduplicatied using AntiDupl up to 0.5% similarity along with BOORU CHARS, series limited to most representative entries

Sophisticated clustering implemented :

• by aspect ratio { 7x10 +/-4% ; 3x4 +/-10% ; 1x1 +/-20% ; 3x2 +/-40% ; 2x3 +/-40% } it’s crusial for scene composition
• by source imageboard rating { X = Explicit , Q = questionable + others + unknown }
• by detected head-count { 0 heads = letter A , 2 = B , 3-5 heads = C , 6+ heads = D , 1 head = letter E }
• for single-head scenes (E) by character pose { F - frontal, P - profile / from behind, S - legs splitted, U - others / undefined }

Sorting and volume splitting inside cluster used “attractiveness score function” == “colorful and textless”.
A volume typically contains 1000-2000 files. Bottom score images meticulously reviewed.
Folder/archive name identify cluster and volume number inside cluster starting from 00.

Supporting metadata include :

• original and calculated attributes for each image
• 15349213 imageboard tags
• 1843396 results of torso components detection
• actual versions of PyTorch models for object detection
• additional README

Keep in mind this release is first of all
a dataset of character-centric art in effective local format suited for batch processing
and then
a representative catalog of anime/gameCG/cartoon/furry copyrights, characters and artists for visual estimation
but not
offer high image resolution and pretending on completeness.

Fun statistics about release :

• main sources are : gelbooru 146831, e621 118196, yande-re 89442 and danbooru 81542
  another ~80k pics got from allthefallen + tbib(e621) + sankaku + anime-pictures + konachan + (a little bit) zerochan + safebooru
• 654573 heads detected (from which 214362 are non-humans) and also 451558 topless and 230703 bottomless bodies
• image count with ‘loli’ tag 70287 exceed sum of all NYAA SFW releases

@REM -- file mask can be used like query for extract e.g. for specific artist
xcopy /s "A:\BOORU_ECCHI\*(*nanashi*nlo*)*" C:\TEMP\

-- sophisticated processing possible using database (copy-paste result to just_do_it.BAT)
select 'xcopy "'||be.fpath||'\'||be.fname||'" C:\TEMP\' xcpy
  from be
  join be_tags d on d.booru=be.booru and d.fid=be.fid 
 where d.tag='tribadism' -- some sort of yuri play, mostly excluded (only 62 images left)

-- fox, rabbit, bear and bird heads together - it may be Star Fox or FNAF
select 'xcopy "'||fpath||'\'||fname||'" C:\TEMP\' xcpy
from (
 select fpath, fname, listagg(distinct obj,',') objs
   from be
   join be_yolo d on d.booru=be.booru and d.fid=be.fid and obj in (18,19,21,25)
  group by fpath, fname
) where objs='18,19,21,25' -- internal class IDs

Sample contact list for volume 1x1.Q\1x1-EP00 == Questionable , Single-head + Profile , “best quality” volume

Torso components detection changes while undressing