animetimm/danbooru-wdtagger-v4-w640-ws-150k

Danbooru WDTagger V4 Webdataset 150k 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-150k')
print(dataset["train"][0])

Images

149901 images in total.

Split	Image Count	Total Size
train	136073	9.18 GB
test	6948	467 MB
val	6880	467 MB

Tags

1214 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	32506	29445	1534	1527
9999998	sensitive	9	4478213	71578	64848	3407	3323
9999997	questionable	9	1032970	22859	20741	1036	1082
9999996	explicit	9	900939	22958	21039	971	948

General Tags

1207 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	91055	82694	4252	4109
13197	long_hair	0	4677442	83435	75889	3747	3799
8601	breasts	0	3696520	73121	66645	3266	3210
3389	blush	0	3145456	62162	56713	2747	2702
1815	smile	0	3103828	59378	54170	2592	2616
11906	open_mouth	0	2563264	59038	53793	2608	2637
469576	looking_at_viewer	0	3591347	58441	53295	2592	2554
566835	multiple_girls	0	1638110	50757	46018	2307	2432
212816	solo	0	5341234	48688	44195	2305	2188
15080	short_hair	0	2413622	46536	42378	2031	2127
12590	shirt	0	2015187	44938	41101	1895	1942
375387	holding	0	1511512	43472	39635	1936	1901
429	skirt	0	1665177	41583	37834	1887	1862
1882	thighhighs	0	1238300	37603	34167	1760	1676
10959	blue_eyes	0	1887739	36788	33418	1694	1676
5735	gloves	0	1462455	36749	33443	1661	1645
87788	blonde_hair	0	1660630	35917	32642	1651	1624
2241	dress	0	1409604	34849	31737	1564	1548
383159	long_sleeves	0	1715960	34638	31625	1478	1535
380350	hair_ornament	0	1531545	33872	30820	1565	1487
13200	black_hair	0	1629597	32294	29400	1421	1473
1821	2girls	0	1096035	31631	28658	1449	1524
540830	1boy	0	1534705	31367	28680	1341	1346
16867	brown_hair	0	1628876	31176	28331	1409	1436
403247	large_breasts	0	1695376	30446	27755	1397	1294
12289	sitting	0	1009335	30221	27477	1416	1328
2373	hat	0	1291706	29753	27055	1371	1327
6126	animal_ears	0	1266631	29585	26869	1373	1343
4563	bow	0	1265406	29116	26613	1230	1273
8526	red_eyes	0	1366138	27953	25328	1299	1326
16613	jewelry	0	1160701	27608	25213	1229	1166
9294	navel	0	1229063	26385	24118	1132	1135
658573	hair_between_eyes	0	1271873	25279	23232	1043	1004
464906	underwear	0	833693	24181	22017	1068	1096
464575	ribbon	0	1156999	24019	21988	998	1033
15674	tail	0	848270	23290	21187	1034	1069
572080	closed_mouth	0	1309112	23049	21053	980	1016
376054	bare_shoulders	0	1042437	22989	21011	1017	961
1709	twintails	0	961709	22503	20491	1005	1007
376766	white_shirt	0	947457	22276	20387	915	974
3843	jacket	0	1040203	22125	20259	952	914
412368	simple_background	0	1993448	22046	20110	976	960
15675	standing	0	980391	21928	20092	885	951
417660	very_long_hair	0	1034958	21551	19736	898	917
608813	full_body	0	895769	21425	19559	939	927
667868	medium_breasts	0	942601	20550	18710	922	918
391	panties	0	678753	20307	18488	905	914
10953	blue_hair	0	922475	20249	18364	944	941
10960	green_eyes	0	910719	19583	17796	879	908
4607	cleavage	0	1072078	19459	17732	876	851

Character Tags

3 selected character tags (3 of them shown) in total.

tag_id	name	category	count	selected_count	train_count	test_count	val_count
385430	hatsune_miku	4	113004	1461	1334	65	62
12239	hakurei_reimu	4	82490	855	780	39	36
1478495	artoria_pendragon_(fate)	4	39996	683	612	39	32

Citation

@inproceedings{danbooruwdtaggerv4webdataset150ksubdataset,
  author = {narugo1992 and Smilingwolf},
  title = {Danbooru WDTagger V4 Webdataset 150k 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-150k}
}