animetimm/danbooru-wdtagger-v4-w640-ws-50k

Danbooru WDTagger V4 Webdataset 50k Sub-Dataset

This is the webdataset subset dataset for animetimm/danbooru-wdtagger-v4-w640.

Metadata here are cleaned by @SmilingWolf, can be used for multi-label classification training.

Images here are resized to min(width, height) <= 640.

How to Use It

from datasets import load_dataset

dataset = load_dataset('animetimm/danbooru-wdtagger-v4-w640-ws-50k')
print(dataset["train"][0])

Images

49971 images in total.

Split	Image Count	Total Size
train	45668	3.19 GB
test	2191	153 MB
val	2112	148 MB

Tags

487 tags in total.

Rating Tags

4 selected rating tags (4 of them shown) in total.

tag_id	name	category	count	selected_count	train_count	test_count	val_count
9999999	general	9	2782276	9730	8869	431	430
9999998	sensitive	9	4478213	23978	21804	1115	1059
9999997	questionable	9	1032970	8092	7399	346	347
9999996	explicit	9	900939	8171	7596	299	276

General Tags

483 selected general tags (50 of them shown) in total.

tag_id	name	category	count	selected_count	train_count	test_count	val_count
470575	1girl	0	6421421	29099	26590	1275	1234
13197	long_hair	0	4677442	28663	26264	1201	1198
8601	breasts	0	3696520	25439	23383	1059	997
3389	blush	0	3145456	21735	19974	893	868
11906	open_mouth	0	2563264	20915	19174	878	863
1815	smile	0	3103828	20662	18967	855	840
469576	looking_at_viewer	0	3591347	19834	18228	836	770
566835	multiple_girls	0	1638110	18366	16789	786	791
15080	short_hair	0	2413622	16155	14815	679	661
12590	shirt	0	2015187	16060	14796	641	623
375387	holding	0	1511512	15521	14274	641	606
429	skirt	0	1665177	15301	14006	672	623
212816	solo	0	5341234	14472	13251	632	589
1882	thighhighs	0	1238300	14028	12877	601	550
5735	gloves	0	1462455	13654	12521	575	558
10959	blue_eyes	0	1887739	12699	11618	565	516
2241	dress	0	1409604	12575	11522	509	544
383159	long_sleeves	0	1715960	12573	11578	487	508
87788	blonde_hair	0	1660630	12433	11381	541	511
380350	hair_ornament	0	1531545	12213	11188	531	494
1821	2girls	0	1096035	11126	10167	475	484
13200	black_hair	0	1629597	11105	10218	443	444
4563	bow	0	1265406	11022	10179	416	427
12289	sitting	0	1009335	10797	9894	462	441
540830	1boy	0	1534705	10768	9880	447	441
2373	hat	0	1291706	10613	9704	483	426
6126	animal_ears	0	1266631	10425	9545	443	437
16867	brown_hair	0	1628876	10413	9523	463	427
403247	large_breasts	0	1695376	10408	9578	431	399
16613	jewelry	0	1160701	9987	9167	429	391
8526	red_eyes	0	1366138	9880	9001	420	459
658573	hair_between_eyes	0	1271873	9473	8761	377	335
9294	navel	0	1229063	9320	8565	387	368
464575	ribbon	0	1156999	9051	8331	353	367
464906	underwear	0	833693	8838	8111	359	368
376054	bare_shoulders	0	1042437	8725	8056	330	339
15674	tail	0	848270	8638	7909	362	367
572080	closed_mouth	0	1309112	8229	7610	306	313
1709	twintails	0	961709	8204	7532	347	325
376766	white_shirt	0	947457	8182	7557	297	328
15675	standing	0	980391	8072	7468	323	281
3843	jacket	0	1040203	7996	7361	343	292
417660	very_long_hair	0	1034958	7836	7223	307	306
608813	full_body	0	895769	7695	7099	307	289
391	panties	0	678753	7462	6849	302	311
10953	blue_hair	0	922475	7308	6684	316	308
667868	medium_breasts	0	942601	7303	6703	312	288
465619	closed_eyes	0	766933	7074	6533	294	247
412368	simple_background	0	1993448	7017	6471	265	281
390728	multicolored_hair	0	773028	6923	6359	285	279

Citation

@inproceedings{danbooruwdtaggerv4webdataset50ksubdataset,
  author = {narugo1992 and Smilingwolf},
  title = {Danbooru WDTagger V4 Webdataset 50k Sub-Dataset},
  year = {2025},
  url = {https://huggingface.co/narugo and https://huggingface.co/SmilingWolf},
  note = {Dataset available at https://huggingface.co/datasets/animetimm/danbooru-wdtagger-v4-w640-ws-50k}
}