Datasets:

Modalities:
Text
Formats:
csv
Languages:
English
Libraries:
Datasets
pandas
License:
freebase_id
stringlengths
7
10
wikidata_id
stringlengths
2
9
label
stringlengths
1
211
/m/0154j
Q31
Belgium
/m/016pp7
Q8
happiness
/m/034rd
Q23
George Washington
/m/022jzf
Q24
Jack Bauer
/m/0282x
Q42
Douglas Adams
/m/0524xb
Q1868
Paul Otlet
/m/0j9kvph
Q2013
Wikidata
/m/05r4w
Q45
Portugal
/m/0jfx
Q51
Antarctica
/m/070qfw
Q58
penis
/m/074j35
Q68
computer
/m/03rlt
Q75
Internet
/m/022c6w
Q102
pneumonoultramicroscopicsilicovolcanoconiosis
/m/02tvcg
Q103
Supercalifragilisticexpialidocious
/m/05cw8
Q125
November
/m/096mb
Q140
lion
/m/0bt9lr
Q144
dog
/m/0hjzp
Q147
kitten
/m/0d05w3
Q148
People's Republic of China
/m/015fr
Q155
Brazil
/m/094vy
Q163
Yorkshire
/m/0663v
Q177
pizza
/m/05z55
Q178
pasta
/m/0345h
Q183
Germany
/m/09b6zr
Q207
George W. Bush
/m/02p0wnz
Q210
right angle
/m/04v3q
Q233
Malta
/m/01xfc0
Q278
Talisker distillery
/m/07s3m
Q288
Tours
/m/0k92y
Q297
Diego Velázquez
/m/01p1v
Q298
Chile
/m/02hbt
Q317
dictatorship
/m/01wfbm
Q328
English Wikipedia
/m/081pw
Q362
World War II
/m/014d3
Q368
Augusto Pinochet
/m/0161c
Q398
Bahrain
/m/0116z
Q411
astrobiology
/m/01j99c
Q412
Pioneer plaque
/m/088tb
Q431
zoology
/m/02z3l2b
Q433
Gmina Kurów
/m/03rzn
Q443
Ich bin ein Berliner
/m/0ptyv
Q447
Encyclopédie
/m/01c79y
Q463
Rhône-Alpes
/m/0zzr
Q497
anus
/m/01rgr
Q501
Charles Baudelaire
/m/0c9ph5
Q506
flower
/m/04zyb7c
Q511
Museum of Fine Arts of Lyon
/m/0hxf
Q514
anatomy
/m/0cmnc
Q524
Mount Vesuvius
/m/06p5g
Q544
Solar System
/m/0jd4j
Q550
avenue des Champs-Élysées
/m/02h9byz
Q556
hydrogen
/m/05l64
Q585
Oslo
/m/0150n
Q586
Bonn
/m/0k0c
Q587
All Saints' Day
/m/0hgqwpj
Q595
The Intouchables
/m/04llb
Q597
Lisbon
/m/01vvm4
Q619
Nicolaus Copernicus
/m/0m2l9
Q633
Neil Young
/m/05qc_
Q634
planet
/m/064mq
Q643
Po
/m/0chjm
Q647
Rennes
/m/0d8r8
Q648
Lille
/m/0fm3w
Q659
north
/m/03qg7
Q661
hydraulic ram
/m/0dq0q
Q676
prose
/m/07z5n
Q686
Vanuatu
/m/025tkqp
Q688
chlorine
/m/07371
Q694
South Holland
/m/025sk56
Q716
titanium
/m/025sngq
Q722
vanadium
/m/06chkr
Q732
Francesinha
/m/0fyh4
Q747
Pierre Corneille
/m/0d8s8
Q749
Groningen
/m/03154
Q764
fungus
/m/05k7sb
Q771
Massachusetts
/m/03spz
Q801
Israel
/m/04qdj
Q807
Lausanne
/m/03dfv8
Q815
Gabriel Gonzáles Videla
/m/04hhv
Q819
Laos
/m/0clpml
Q844
James Bond
/m/0hy8
Q853
Andrei Tarkovsky
/m/05qmj
Q859
Plato
/m/07dvs
Q863
Tajikistan
/m/07f1x
Q869
Thailand
/m/0h0wc
Q873
Meryl Streep
/m/0j1z8
Q878
United Arab Emirates
/m/025s7y2
Q880
platinum
/m/0gzyb
Q883
Novosibirsk
/m/0hclr
Q891
Nizhny Novgorod
/m/0gxgf
Q898
Omsk
/m/0783n
Q899
Suez Canal
/m/06q2q
Q901
scientist
/m/03trbr
Q903
Erta Ale
/m/039htd
Q907
Gordon Freeman
/m/04v09
Q912
Mali
/m/0j4b
Q916
Angola
/m/01g_kz
Q922
Brač
/m/088fh
Q943
yellow
/m/02_fg6
Q946
Donald Tusk

mapping between freebase and wikidata entities

This dataset maps freebase ids to wikidata ids and labels. It is useful for visualising and better understanding when working with datasets like fb15k-237

How it was created:

  1. Download freebase-wikidata mapping from here. [compressed size: 21.2 MB]
  2. Download wikidata entities data from here. [compressed size: 81GB]
  3. Align labels with the freebase,wikidata id
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