Datasetpublic

wikimedia/wikidata-title-desc

Wikidata Title and Description Wikidata entity titles and short descriptions for all 324 Wikipedia language editions, extracted from the Wikimedia Analytics wmf.wikidata_entity table. Each row links a Wikidata QID to the title and description as they appear in a specific language edition of Wikipedia. Dataset Details Field Value Source wmf.wikidata_entity (Wikidata + Wikipedia sitelinks) Snapshot 2026-03-30 Languages 324 Total titles 88,292,409… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wikidata-title-desc.

sourceHugging Facecc-by-sa-4.0updated 5mo agoView on Hugging Face

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Dataset Card

Wikidata Title and Description

Wikidata entity titles and short descriptions for all 324 Wikipedia language editions, extracted from the Wikimedia Analytics wmf.wikidata_entity table. Each row links a Wikidata QID to the title and description as they appear in a specific language edition of Wikipedia.

Dataset Details

Field	Value
Source	wmf.wikidata_entity (Wikidata + Wikipedia sitelinks)
Snapshot	2026-03-30
Languages	324
Total titles	88,292,409
Titles with description	59,572,215 (67.5%)
License	CC BY-SA 4.0

Schema

Column	Type	Description
`qid`	string	Wikidata entity ID, e.g. `Q42`
`lang`	string	BCP-47 language code, e.g. `en`, `ml`, `simple`
`title`	string	Wikipedia article title in that language
`description`	string	Short Wikidata description in that language (may be null)
`snapshot`	string	Wikidata dump snapshot date, e.g. `2026-03-30`

Usage

Load all languages:

python

from datasets import load_dataset

ds = load_dataset("wikimedia/wikidata-title-desc")

Load a specific language:

python

ds = load_dataset("wikimedia/wikidata-title-desc", "ml")   # Malayalam
ds = load_dataset("wikimedia/wikidata-title-desc", "en")   # English
ds = load_dataset("wikimedia/wikidata-title-desc", "simple")  # Simple English

Filter to rows that have a description:

python

ds = load_dataset("wikimedia/wikidata-title-desc", "en")
ds_with_desc = ds.filter(lambda x: x["description"])

Language Coverage

lang	titles	with description	coverage %
en	20,455,894	19,605,584	95.8%
de	3,762,818	3,499,833	93.0%
fr	3,464,083	2,891,433	83.5%
sv	3,046,107	1,812,981	59.5%
ru	2,932,290	1,861,334	63.5%
es	2,616,349	1,945,140	74.3%
it	2,494,177	1,962,166	78.7%
ar	2,440,054	2,064,603	84.6%
nl	2,396,597	2,191,681	91.4%
zh	2,142,635	1,130,871	52.8%
pl	2,031,054	1,130,638	55.7%
uk	1,878,743	1,336,790	71.2%
fa	1,873,639	1,184,963	63.2%
ja	1,851,700	1,101,244	59.5%
vi	1,678,784	843,972	50.3%
pt	1,671,063	1,000,568	59.9%
arz	1,656,660	463,268	28.0%
ko	1,177,597	697,372	59.2%
tr	1,104,062	684,695	62.0%
ur	986,702	629,209	63.8%
id	971,329	599,232	61.7%
ca	945,214	599,162	63.4%
sr	926,851	340,140	36.7%
nb	897,939	2,016	0.2%
ce	877,790	61,920	7.1%
cs	850,083	704,304	82.9%
ro	746,894	512,778	68.7%
fi	730,168	432,297	59.2%
hu	669,948	575,865	86.0%
tt	627,461	86,563	13.8%
eu	586,153	219,647	37.5%
sh	534,236	103,544	19.4%
he	527,814	419,470	79.5%
eo	513,773	336,701	65.5%
ms	494,362	118,832	24.0%
hy	480,443	268,195	55.8%
bn	471,127	388,308	82.4%
bg	409,379	225,708	55.1%
da	407,869	226,980	55.7%
simple	401,299	2,408	0.6%
be	399,183	230,167	57.7%
uz	380,176	64,725	17.0%
azb	376,757	1,189	0.3%
az	364,317	154,294	42.4%
sk	363,912	243,081	66.8%
cy	363,603	278,357	76.6%
el	359,821	225,624	62.7%
gl	323,588	234,987	72.6%
th	302,687	150,979	49.9%
et	294,685	115,400	39.2%
sl	288,712	164,211	56.9%
kk	287,130	10,434	3.6%
ka	281,606	117,261	41.6%
ml	273,444	150,714	55.1%
lt	265,275	33,203	12.5%
nn	263,592	128,100	48.6%
hr	259,496	102,047	39.3%
mk	256,519	137,201	53.5%
min	231,997	52,069	22.4%
ta	218,133	118,526	54.3%
hi	215,785	115,503	53.5%
af	198,138	113,827	57.4%
lv	188,539	104,571	55.5%
la	188,116	75,721	40.3%
lld	181,962	93,251	51.2%
bs	179,046	115,021	64.2%
ast	173,815	117,307	67.5%
tg	150,043	36,750	24.5%
sq	141,179	77,700	55.0%
te	140,845	65,863	46.8%
ckb	133,072	61,131	45.9%
ku	133,066	95,935	72.1%
sw	124,084	34,795	28.0%
oc	116,568	60,545	51.9%
br	114,715	54,852	47.8%
ba	113,241	58,644	51.8%
fy	112,855	60,560	53.7%
mg	105,642	1,613	1.5%
an	104,952	49,472	47.1%
mr	101,637	38,866	38.2%
jv	100,608	48,449	48.2%
my	100,041	30,225	30.2%
lb	98,560	81,448	82.6%
ha	96,670	9,177	9.5%
nds	92,557	63,061	68.1%
lmo	90,922	10,853	11.9%
tl	90,461	34,439	38.1%
sco	88,462	56,707	64.1%
cv	87,933	6,094	6.9%
pnb	87,169	2,121	2.4%
mn	85,210	55,469	65.1%
ky	84,055	10,947	13.0%
io	82,816	8,544	10.3%
is	81,810	32,279	39.5%
ga	78,226	40,934	52.3%
vec	78,203	40,038	51.2%
ht	77,867	6,338	8.1%
new	77,598	1,631	2.1%
pms	76,862	363	0.5%
su	74,132	31,444	42.4%
pa	73,764	15,713	21.3%
mzn	72,158	2,290	3.2%
szl	66,669	1,226	1.8%
ban	58,416	1,600	2.7%
wuu	56,846	4,891	8.6%
vo	55,657	3,725	6.7%
ig	54,004	17,677	32.7%
diq	49,660	7,671	15.4%
si	48,913	18,800	38.4%
ary	48,245	25,161	52.2%
glk	47,264	368	0.8%
ne	43,422	18,499	42.6%
als	42,586	136	0.3%
yo	42,217	9,628	22.8%
kn	42,126	8,586	20.4%
bar	39,723	17,041	42.9%
os	37,651	1,482	3.9%
gu	36,467	28,288	77.6%
sd	35,451	14,915	42.1%
ia	34,887	14,331	41.1%
crh	33,537	287	0.9%
ilo	33,427	31,723	94.9%
bpy	33,236	7,469	22.5%
qu	33,137	2,076	6.3%
as	31,943	17,179	53.8%
gv	31,379	26,119	83.2%
or	30,671	22,022	71.8%
xmf	30,297	2,733	9.0%
scn	29,742	12,472	41.9%
avk	28,236	1,225	4.3%
ab	28,009	1,867	6.7%
frr	27,690	9,216	33.3%
ps	27,255	7,229	26.5%
cdo	26,761	1,924	7.2%
shn	26,284	6,724	25.6%
bh	25,564	5	0.0%
sah	25,277	2,391	9.5%
smn	24,736	3,651	14.8%
hsb	24,708	15,017	60.8%
nv	24,325	10	0.0%
bcl	24,263	2,713	11.2%
fo	23,238	9,718	41.8%
sa	22,350	10,902	48.8%
ff	21,056	659	3.1%
yi	20,400	7,719	37.8%
mai	19,579	963	4.9%
li	19,129	5,007	26.2%
gd	18,733	3,416	18.2%
hyw	18,231	1,614	8.9%
gor	17,713	537	3.0%
sat	17,447	7,644	43.8%
am	17,366	1,971	11.3%
nap	17,229	9,280	53.9%
mhr	16,957	2,853	16.8%
km	16,685	3,007	18.0%
bug	16,517	709	4.3%
gan	15,911	1,173	7.4%
vep	15,503	577	3.7%
eml	15,308	996	6.5%
lij	15,129	11,680	77.2%
hif	15,006	2,162	14.4%
ie	14,746	334	2.3%
rue	14,559	2,176	14.9%
ace	14,525	8,852	60.9%
se	14,469	8,111	56.1%
wa	14,333	3,048	21.3%
mt	14,127	5,386	38.1%
zu	14,026	2,610	18.6%
bo	13,929	285	2.0%
bjn	13,920	3,703	26.6%
pam	13,655	3,838	28.1%
mdf	13,365	1,567	11.7%
myv	13,167	1,215	9.2%
so	13,035	3,674	28.2%
mrj	12,519	55	0.4%
dag	12,478	5,000	40.1%
zgh	12,284	1,000	8.1%
vls	12,056	423	3.5%
tly	11,851	143	1.2%
tk	11,114	1,394	12.5%
shi	10,999	266	2.4%
co	10,616	1,464	13.8%
ug	10,436	508	4.9%
kw	10,224	3,167	31.0%
sc	10,155	1,235	12.2%
ks	9,997	2,750	27.5%
kab	9,473	367	3.9%
mi	9,461	1,654	17.5%
nso	9,418	408	4.3%
kv	9,133	321	3.5%
sn	8,977	200	2.2%
frp	8,884	1,510	17.0%
zea	8,721	1,727	19.8%
rw	8,715	380	4.4%
udm	8,671	277	3.2%
lo	8,236	1,468	17.8%
dsb	8,190	1,735	21.2%
mwl	7,921	580	7.3%
gn	7,894	2,481	31.4%
mni	7,834	645	8.2%
av	7,733	2,014	26.0%
lez	7,553	160	2.1%
tum	7,508	601	8.0%
pcd	7,254	579	8.0%
mad	7,073	564	8.0%
olo	6,723	89	1.3%
pap	6,702	3,541	52.8%
ln	6,564	606	9.2%
csb	6,508	731	11.2%
ay	6,457	502	7.8%
lg	6,367	2,363	37.1%
fur	6,298	730	11.6%
krc	6,255	338	5.4%
nrm	6,051	152	2.5%
lfn	6,026	421	7.0%
lad	5,984	885	14.8%
bxr	5,843	962	16.5%
gpe	5,837	5,239	89.8%
nah	5,577	44	0.8%
tyv	5,567	85	1.5%
dv	5,522	984	17.8%
inh	5,403	187	3.5%
rm	5,283	350	6.6%
stq	5,247	1,370	26.1%
ext	5,183	541	10.4%
dty	5,025	548	10.9%
gom	5,015	80	1.6%
koi	4,701	320	6.8%
gag	4,461	694	15.6%
iba	4,409	199	4.5%
tw	4,316	941	21.8%
ksh	4,185	372	8.9%
kbd	4,154	52	1.3%
tok	4,074	855	21.0%
pfl	4,064	63	1.6%
dtp	4,059	164	4.0%
bew	4,033	444	11.0%
haw	3,974	264	6.6%
tn	3,918	625	16.0%
tcy	3,789	319	8.4%
kge	3,788	183	4.8%
za	3,705	190	5.1%
alt	3,386	103	3.0%
nov	3,376	291	8.6%
xh	3,342	66	2.0%
pag	3,326	1,862	56.0%
blk	3,312	104	3.1%
pdc	3,241	44	1.4%
awa	3,176	151	4.8%
szy	2,992	45	1.5%
wo	2,867	124	4.3%
mnw	2,789	100	3.6%
ki	2,756	162	5.9%
fj	2,750	214	7.8%
dga	2,597	1,765	68.0%
om	2,589	296	11.4%
cu	2,562	484	18.9%
arc	2,541	255	10.0%
to	2,470	121	4.9%
tpi	2,442	532	21.8%
st	2,379	206	8.7%
kcg	2,331	1,455	62.4%
jbo	2,278	54	2.4%
kbp	2,276	44	1.9%
fon	2,250	1,238	55.0%
jam	2,187	30	1.4%
xal	2,181	179	8.2%
kg	2,172	325	15.0%
knc	2,112	170	8.0%
tay	2,102	40	1.9%
guw	2,079	77	3.7%
ltg	2,071	86	4.2%
tet	2,071	68	3.3%
anp	2,004	86	4.3%
bi	1,994	169	8.5%
ny	1,993	112	5.6%
atj	1,980	843	42.6%
ee	1,954	244	12.5%
nia	1,920	136	7.1%
pcm	1,907	318	16.7%
syl	1,882	309	16.4%
nqo	1,787	1,049	58.7%
lbe	1,718	98	5.7%
rki	1,709	59	3.5%
ty	1,686	81	4.8%
ts	1,670	267	16.0%
got	1,659	112	6.8%
ss	1,626	22	1.4%
sm	1,616	14	0.9%
mos	1,587	815	51.4%
bbc	1,573	87	5.5%
fat	1,567	150	9.6%
chr	1,562	175	11.2%
bm	1,560	143	9.2%
srn	1,535	329	21.4%
ami	1,472	12	0.8%
rsk	1,416	132	9.3%
rn	1,402	49	3.5%
btm	1,379	43	3.1%
ti	1,323	119	9.0%
kus	1,250	724	57.9%
pnt	1,223	153	12.5%
gur	1,221	722	59.1%
rmy	1,190	394	33.1%
chy	1,166	97	8.3%
ve	1,162	105	9.0%
ik	1,157	2	0.2%
igl	1,123	52	4.6%
trv	1,103	21	1.9%
dz	1,015	24	2.4%
ady	982	28	2.9%
tdd	975	23	2.4%
ch	936	205	21.9%
iu	742	7	0.9%
sg	729	74	10.2%
din	717	20	2.8%
guc	662	58	8.8%
pi	658	112	17.0%
kaj	502	14	2.8%
bdr	477	35	7.3%
pwn	461	85	18.4%
ann	454	104	22.9%
nr	322	40	12.4%
tig	72	5	6.9%
total	88,292,409	59,572,215	67.5%

Notes

—Descriptions come from Wikidata and may be absent (null or empty string) for many articles, especially in smaller language editions.
—The simple config corresponds to Simple English Wikipedia (simplewiki), not a standard BCP-47 code.
—Rows with the same qid across different lang configs refer to the same Wikidata entity.

Versioning

Each snapshot is tagged in the repository (e.g. snapshot-2026-03-30). To load data from a specific snapshot:

python

ds = load_dataset("wikimedia/wikidata-title-desc", revision="snapshot-2026-03-30")

Source & Attribution

Data is derived from Wikidata and Wikipedia, both licensed under CC BY-SA 4.0.

Extracted using the Wikimedia Analytics Data Lake.