Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
metadata
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': abandon
'1': abdomen
'2': ability
'3': absence
'4': absorb
'5': abstract
'6': abundance
'7': accept
'8': accident
'9': accomplish
'10': achieve
'11': acknowledge
'12': acquire
'13': action
'14': activity
'15': actor
'16': actress
'17': add
'18': administration
'19': adult
'20': adversary
'21': advertisement
'22': advise
'23': aerial
'24': afraid
'25': age
'26': aggression
'27': agony
'28': agree
'29': agreement
'30': air
'31': aircraft
'32': airplane
'33': airport
'34': aisle
'35': album
'36': alcohol
'37': alley
'38': alligator
'39': allow
'40': amphibian
'41': anarchy
'42': anatomy
'43': anchor
'44': ancient
'45': angel
'46': angle
'47': angry
'48': animal
'49': ankle
'50': announce
'51': ant
'52': anxious
'53': apartment
'54': apparent
'55': appear
'56': apple
'57': appliance
'58': appoint
'59': appointment
'60': aquarium
'61': arch
'62': archbishop
'63': architecture
'64': area
'65': argue
'66': argument
'67': arithmetic
'68': arm
'69': army
'70': arrange
'71': arrive
'72': arrow
'73': art
'74': article
'75': artist
'76': artwork
'77': ashamed
'78': ask
'79': asphalt
'80': assignment
'81': assume
'82': astronaut
'83': athlete
'84': atmosphere
'85': atom
'86': attach
'87': attend
'88': attention
'89': attitude
'90': attorney
'91': august
'92': aunt
'93': author
'94': auto
'95': automobile
'96': autumn
'97': aviation
'98': avoid
'99': awareness
'100': awful
'101': backdrop
'102': bad
'103': badge
'104': bag
'105': bakery
'106': ball
'107': ballad
'108': balloon
'109': banana
'110': band
'111': banker
'112': bar
'113': barn
'114': barracuda
'115': baseball
'116': basket
'117': basketball
'118': bat
'119': bath
'120': bathroom
'121': battery
'122': battle
'123': bay
'124': beach
'125': bead
'126': bean
'127': bear
'128': beard
'129': beast
'130': beautiful
'131': beauty
'132': become
'133': bed
'134': bedroom
'135': bee
'136': beef
'137': beer
'138': beetle
'139': beg
'140': begin
'141': behave
'142': belief
'143': believe
'144': bell
'145': belly
'146': belt
'147': bench
'148': berry
'149': beverage
'150': bias
'151': bible
'152': bicycle
'153': big
'154': bike
'155': bikini
'156': billboard
'157': biology
'158': bird
'159': birthday
'160': bishop
'161': bizarre
'162': black
'163': blackamoor
'164': blade
'165': blanket
'166': blonde
'167': blood
'168': bloom
'169': blossom
'170': blue
'171': blur
'172': boardwalk
'173': boat
'174': body
'175': bold
'176': bomb
'177': bone
'178': book
'179': boot
'180': booth
'181': border
'182': borrow
'183': bottle
'184': bottom
'185': boundary
'186': bowl
'187': box
'188': boxer
'189': boy
'190': bracelet
'191': brain
'192': branch
'193': brand
'194': brandy
'195': bread
'196': break
'197': breakfast
'198': breathe
'199': brick
'200': bride
'201': bridge
'202': bright
'203': bring
'204': broad
'205': brother
'206': brow
'207': brown
'208': bubble
'209': bucket
'210': bud
'211': buddy
'212': bug
'213': build
'214': bulb
'215': bull
'216': bullet
'217': bunch
'218': bunny
'219': burger
'220': burial
'221': burn
'222': bus
'223': bush
'224': business
'225': butter
'226': butterfly
'227': button
'228': buy
'229': cabin
'230': cafe
'231': cage
'232': cake
'233': calendar
'234': calf
'235': camel
'236': camera
'237': camp
'238': canal
'239': cancer
'240': candidate
'241': candle
'242': candy
'243': canine
'244': cannon
'245': canyon
'246': capability
'247': capital
'248': captain
'249': car
'250': carbon
'251': card
'252': cardboard
'253': career
'254': carnival
'255': carriage
'256': carrot
'257': carry
'258': casino
'259': castle
'260': cat
'261': catastrophe
'262': caterpillar
'263': cathedral
'264': cattle
'265': cavern
'266': ceiling
'267': celebration
'268': celebrity
'269': cell
'270': cellar
'271': cemetery
'272': cent
'273': century
'274': ceramic
'275': cereal
'276': ceremony
'277': certain
'278': chain
'279': chair
'280': champagne
'281': champion
'282': chaos
'283': chapel
'284': chapter
'285': character
'286': charcoal
'287': cheap
'288': cheerful
'289': cheerleader
'290': cheese
'291': cheetah
'292': chemistry
'293': cherish
'294': cherry
'295': chess
'296': chest
'297': chick
'298': chicken
'299': chief
'300': child
'301': childish
'302': chipmunk
'303': chocolate
'304': choice
'305': choir
'306': choke
'307': choose
'308': chopper
'309': church
'310': cigar
'311': cigarette
'312': circle
'313': circumstance
'314': city
'315': clarify
'316': class
'317': classroom
'318': clever
'319': cliff
'320': clip
'321': clock
'322': closet
'323': cloth
'324': clothes
'325': cloud
'326': clown
'327': club
'328': clue
'329': coal
'330': coast
'331': coat
'332': cobra
'333': cockatoo
'334': cocktail
'335': code
'336': coffee
'337': coin
'338': cold
'339': collage
'340': collar
'341': collect
'342': collection
'343': college
'344': colonel
'345': colt
'346': come
'347': comet
'348': comfort
'349': commonwealth
'350': communicate
'351': communication
'352': community
'353': companion
'354': company
'355': compare
'356': competence
'357': complain
'358': composer
'359': comprehend
'360': computer
'361': con
'362': concept
'363': concert
'364': conclude
'365': concrete
'366': condition
'367': cone
'368': confession
'369': confidence
'370': confident
'371': confusion
'372': conquest
'373': construct
'374': construction
'375': container
'376': contemplate
'377': continent
'378': conversation
'379': cookie
'380': cooking
'381': cooperate
'382': cop
'383': copper
'384': cord
'385': corner
'386': corporation
'387': corridor
'388': costume
'389': cottage
'390': cotton
'391': couch
'392': country
'393': couple
'394': course
'395': cousin
'396': cow
'397': cowboy
'398': crab
'399': crack
'400': cradle
'401': craft
'402': crane
'403': crazy
'404': cream
'405': create
'406': creator
'407': creature
'408': crib
'409': crime
'410': criticism
'411': crochet
'412': cross
'413': crow
'414': crowd
'415': crown
'416': crucial
'417': crucifix
'418': cruel
'419': crystal
'420': cube
'421': cucumber
'422': culture
'423': cup
'424': curl
'425': curtain
'426': curve
'427': cute
'428': cutie
'429': dad
'430': daffodil
'431': daisy
'432': damsel
'433': dance
'434': dancer
'435': dandelion
'436': danger
'437': dark
'438': date
'439': daughter
'440': dawn
'441': dead
'442': death
'443': decade
'444': decide
'445': deck
'446': declare
'447': decoration
'448': deer
'449': defect
'450': defend
'451': definition
'452': deity
'453': delightful
'454': deliver
'455': demolition
'456': demon
'457': denial
'458': dense
'459': dentist
'460': deny
'461': depth
'462': desert
'463': deserve
'464': design
'465': desk
'466': despair
'467': dessert
'468': destination
'469': destroy
'470': destruction
'471': determine
'472': device
'473': devil
'474': dew
'475': diamond
'476': dictionary
'477': diet
'478': differ
'479': different
'480': difficult
'481': difficulty
'482': diffraction
'483': diner
'484': dinner
'485': dinosaur
'486': dirt
'487': dirty
'488': disappear
'489': disc
'490': discourage
'491': discover
'492': discuss
'493': discussion
'494': disease
'495': disk
'496': display
'497': distraction
'498': diver
'499': divide
'500': doctor
'501': document
'502': dog
'503': doll
'504': dollar
'505': dolphin
'506': dome
'507': dominate
'508': donkey
'509': donut
'510': doodle
'511': door
'512': doorway
'513': downtown
'514': dragon
'515': dragonfly
'516': draw
'517': drawer
'518': dream
'519': dreary
'520': dress
'521': drip
'522': driver
'523': drizzle
'524': drop
'525': droplet
'526': drug
'527': drum
'528': duck
'529': dude
'530': dull
'531': dumb
'532': dusk
'533': dye
'534': eagle
'535': ear
'536': earn
'537': easy
'538': eat
'539': economist
'540': edge
'541': effort
'542': egg
'543': elastic
'544': elbow
'545': elect
'546': election
'547': electron
'548': elegance
'549': element
'550': elephant
'551': elevator
'552': emergency
'553': emotion
'554': employee
'555': employer
'556': encourage
'557': endurance
'558': enemy
'559': engage
'560': engagement
'561': engine
'562': enjoy
'563': enter
'564': entertain
'565': entity
'566': envelope
'567': epidemic
'568': equation
'569': era
'570': escalator
'571': essay
'572': essential
'573': evaluate
'574': evening
'575': event
'576': examine
'577': exhibition
'578': exit
'579': exoplanet
'580': exotic
'581': expand
'582': explain
'583': explore
'584': explosion
'585': eye
'586': fabric
'587': face
'588': fact
'589': factory
'590': fail
'591': fairy
'592': fall
'593': fame
'594': family
'595': fantasy
'596': farm
'597': fashion
'598': fast
'599': father
'600': faun
'601': feather
'602': fee
'603': feel
'604': feline
'605': female
'606': festival
'607': fetus
'608': fever
'609': fiction
'610': field
'611': fiend
'612': figure
'613': film
'614': find
'615': finger
'616': fingerprint
'617': fire
'618': firework
'619': fish
'620': fisherman
'621': fishing
'622': fist
'623': flag
'624': flame
'625': flamingo
'626': flesh
'627': flexible
'628': flight
'629': flood
'630': floor
'631': flour
'632': flower
'633': flu
'634': fly
'635': fog
'636': folder
'637': foliage
'638': food
'639': foolish
'640': foot
'641': football
'642': footprint
'643': ford
'644': forest
'645': forget
'646': forgive
'647': formal
'648': formula
'649': fountain
'650': fox
'651': fragile
'652': frame
'653': fraternity
'654': fraud
'655': freeway
'656': fresh
'657': friend
'658': friendly
'659': frigid
'660': frog
'661': frost
'662': frozen
'663': fruit
'664': frustration
'665': fun
'666': fungus
'667': funny
'668': fur
'669': furniture
'670': fury
'671': galaxy
'672': game
'673': garage
'674': garbage
'675': garden
'676': gasoline
'677': gate
'678': gather
'679': gauge
'680': gel
'681': generous
'682': gentleman
'683': get
'684': ghost
'685': gin
'686': giraffe
'687': girl
'688': give
'689': glad
'690': glass
'691': glitter
'692': globe
'693': glove
'694': goal
'695': goat
'696': god
'697': goddess
'698': gold
'699': goo
'700': goose
'701': gorilla
'702': gossip
'703': grade
'704': graffito
'705': grape
'706': graph
'707': graphic
'708': grass
'709': gravestone
'710': graveyard
'711': great
'712': green
'713': greet
'714': grey
'715': grid
'716': grief
'717': groom
'718': grow
'719': guardian
'720': guest
'721': guilty
'722': guitar
'723': gull
'724': gun
'725': gut
'726': guy
'727': gymnastics
'728': hair
'729': haircut
'730': hall
'731': hallway
'732': hamburger
'733': hamster
'734': hand
'735': handle
'736': handwriting
'737': hang
'738': happen
'739': happiness
'740': happy
'741': harbor
'742': harbour
'743': hard
'744': harm
'745': harsh
'746': hat
'747': haven
'748': hawk
'749': haze
'750': head
'751': hear
'752': heart
'753': heavy
'754': helicopter
'755': helium
'756': helper
'757': hen
'758': herb
'759': hero
'760': heroine
'761': highway
'762': hill
'763': hip
'764': hockey
'765': hold
'766': hole
'767': holiday
'768': home
'769': homomorphism
'770': honest
'771': honey
'772': horizon
'773': horse
'774': horseman
'775': hose
'776': hospital
'777': hostility
'778': hot
'779': hotel
'780': hound
'781': house
'782': huge
'783': hummingbird
'784': hurricane
'785': husband
'786': hut
'787': hymn
'788': hysteria
'789': ice
'790': iceberg
'791': idea
'792': ignorance
'793': ignore
'794': illegal
'795': illness
'796': illusion
'797': illustration
'798': image
'799': imagine
'800': imitate
'801': immoral
'802': impatient
'803': important
'804': impression
'805': inch
'806': incident
'807': income
'808': indent
'809': industrial
'810': industry
'811': inexpensive
'812': infant
'813': infection
'814': inform
'815': information
'816': ink
'817': inn
'818': insane
'819': insect
'820': insight
'821': inspect
'822': institution
'823': instructor
'824': instrument
'825': intelligence
'826': intelligent
'827': interest
'828': interior
'829': interval
'830': intuition
'831': investigate
'832': ipod
'833': iris
'834': iron
'835': island
'836': item
'837': ivy
'838': jacket
'839': jaguar
'840': jail
'841': jar
'842': jaw
'843': jazz
'844': jean
'845': jellyfish
'846': jet
'847': job
'848': join
'849': journal
'850': journey
'851': joy
'852': juice
'853': jump
'854': justice
'855': justify
'856': kangaroo
'857': keep
'858': key
'859': keyboard
'860': kid
'861': kidney
'862': kill
'863': king
'864': kiss
'865': kitchen
'866': kite
'867': kitten
'868': kitty
'869': knee
'870': knife
'871': knight
'872': knit
'873': know
'874': koala
'875': lab
'876': ladder
'877': laden
'878': lady
'879': lake
'880': lamb
'881': lamp
'882': landmark
'883': landscape
'884': language
'885': lantern
'886': large
'887': law
'888': lawn
'889': lawyer
'890': leader
'891': leaf
'892': learn
'893': leather
'894': leave
'895': ledge
'896': leg
'897': legion
'898': lemon
'899': lend
'900': lens
'901': letter
'902': librarian
'903': library
'904': lick
'905': life
'906': lifetime
'907': light
'908': lighthouse
'909': lighting
'910': lily
'911': limb
'912': limousine
'913': line
'914': linen
'915': lingerie
'916': lion
'917': lip
'918': liquor
'919': listen
'920': literature
'921': live
'922': liver
'923': lizard
'924': locate
'925': lock
'926': locomotive
'927': log
'928': logic
'929': logo
'930': long
'931': loop
'932': lose
'933': love
'934': lover
'935': luck
'936': lunch
'937': lung
'938': mac
'939': machine
'940': mad
'941': magazine
'942': magnitude
'943': maid
'944': make
'945': maker
'946': makeup
'947': male
'948': mallard
'949': mammal
'950': man
'951': management
'952': manager
'953': mannequin
'954': manner
'955': map
'956': maple
'957': marble
'958': mare
'959': marijuana
'960': market
'961': marrow
'962': marry
'963': mask
'964': match
'965': mayor
'966': meal
'967': meat
'968': mechanic
'969': medium
'970': meet
'971': melody
'972': memorial
'973': men
'974': menu
'975': mermaid
'976': metal
'977': meteor
'978': meter
'979': metro
'980': middle
'981': might
'982': military
'983': milk
'984': mill
'985': miniature
'986': minister
'987': mink
'988': minute
'989': mirror
'990': misery
'991': mist
'992': misty
'993': mob
'994': modern
'995': modest
'996': molecule
'997': moment
'998': money
'999': monk
'1000': monkey
'1001': monster
'1002': month
'1003': monument
'1004': mood
'1005': moon
'1006': moose
'1007': morning
'1008': mosque
'1009': moss
'1010': motel
'1011': mother
'1012': motor
'1013': motorcycle
'1014': mountain
'1015': mouse
'1016': mouth
'1017': movement
'1018': movie
'1019': mud
'1020': mug
'1021': multiply
'1022': mural
'1023': museum
'1024': mushroom
'1025': music
'1026': musician
'1027': mustard
'1028': nail
'1029': narrow
'1030': nation
'1031': nature
'1032': navy
'1033': necessary
'1034': neck
'1035': necklace
'1036': nephew
'1037': nerve
'1038': nest
'1039': news
'1040': newspaper
'1041': nice
'1042': night
'1043': node
'1044': noise
'1045': noodle
'1046': normal
'1047': north
'1048': nose
'1049': note
'1050': noticeable
'1051': notify
'1052': nucleus
'1053': nude
'1054': number
'1055': nun
'1056': nurse
'1057': nut
'1058': oak
'1059': obey
'1060': object
'1061': obtain
'1062': obvious
'1063': occur
'1064': ocean
'1065': odd
'1066': office
'1067': officer
'1068': oil
'1069': old
'1070': opinion
'1071': opponent
'1072': orange
'1073': orb
'1074': orchestra
'1075': orchid
'1076': order
'1077': organ
'1078': origami
'1079': originate
'1080': orthodontist
'1081': oscilloscope
'1082': outdoor
'1083': outfit
'1084': overcome
'1085': owe
'1086': owl
'1087': pact
'1088': padlock
'1089': page
'1090': pain
'1091': paint
'1092': painting
'1093': pair
'1094': palace
'1095': palm
'1096': panda
'1097': panorama
'1098': pantyhose
'1099': paper
'1100': par
'1101': parade
'1102': paragraph
'1103': parent
'1104': park
'1105': parking
'1106': parrot
'1107': participate
'1108': particle
'1109': partition
'1110': partner
'1111': party
'1112': passion
'1113': passport
'1114': path
'1115': patient
'1116': patio
'1117': pattern
'1118': paw
'1119': payment
'1120': peace
'1121': peacock
'1122': pearl
'1123': pebble
'1124': peel
'1125': pelican
'1126': pencil
'1127': penguin
'1128': people
'1129': pepper
'1130': perception
'1131': person
'1132': persuade
'1133': pet
'1134': petal
'1135': phenomenon
'1136': phoenix
'1137': phone
'1138': photo
'1139': photograph
'1140': photographer
'1141': photography
'1142': phrase
'1143': physician
'1144': piano
'1145': picture
'1146': pie
'1147': pier
'1148': pigeon
'1149': pillow
'1150': pilot
'1151': pin
'1152': pink
'1153': pipe
'1154': pitcher
'1155': pizza
'1156': place
'1157': plane
'1158': planet
'1159': plant
'1160': plate
'1161': play
'1162': plead
'1163': please
'1164': pleasure
'1165': plenty
'1166': plough
'1167': plump
'1168': pod
'1169': point
'1170': pole
'1171': police
'1172': polite
'1173': politician
'1174': pollution
'1175': polyester
'1176': pond
'1177': poodle
'1178': pool
'1179': poppy
'1180': population
'1181': porch
'1182': port
'1183': portrait
'1184': portray
'1185': possess
'1186': post
'1187': postcard
'1188': poster
'1189': pot
'1190': poverty
'1191': pray
'1192': predict
'1193': pregnancy
'1194': pregnant
'1195': presence
'1196': president
'1197': prestige
'1198': pretend
'1199': prey
'1200': pride
'1201': priest
'1202': prince
'1203': princess
'1204': printer
'1205': prisoner
'1206': proclaim
'1207': product
'1208': profession
'1209': professor
'1210': proof
'1211': proper
'1212': protect
'1213': protest
'1214': proud
'1215': prove
'1216': psychology
'1217': pub
'1218': puddle
'1219': pug
'1220': pumpkin
'1221': punk
'1222': pupil
'1223': puppet
'1224': puppy
'1225': purple
'1226': purse
'1227': pursue
'1228': put
'1229': pyramid
'1230': quantum
'1231': queen
'1232': quest
'1233': quick
'1234': quilt
'1235': quit
'1236': quote
'1237': rabbi
'1238': rabbit
'1239': race
'1240': racing
'1241': railroad
'1242': rain
'1243': rainbow
'1244': rally
'1245': rapid
'1246': rare
'1247': raspberry
'1248': rat
'1249': rattle
'1250': rattlesnake
'1251': ray
'1252': read
'1253': reader
'1254': reading
'1255': reality
'1256': rebel
'1257': receive
'1258': recent
'1259': recommend
'1260': rectangle
'1261': red
'1262': redhead
'1263': reduce
'1264': reef
'1265': reflection
'1266': region
'1267': reject
'1268': relax
'1269': remain
'1270': remind
'1271': replace
'1272': reptile
'1273': require
'1274': restaurant
'1275': restless
'1276': restore
'1277': retain
'1278': rhythm
'1279': rice
'1280': right
'1281': ripple
'1282': river
'1283': road
'1284': roam
'1285': robbery
'1286': robot
'1287': rock
'1288': rocket
'1289': rod
'1290': rodent
'1291': roof
'1292': room
'1293': root
'1294': rope
'1295': rose
'1296': rough
'1297': round
'1298': ruin
'1299': ruler
'1300': run
'1301': rust
'1302': rusty
'1303': sad
'1304': safety
'1305': sailing
'1306': sailor
'1307': saint
'1308': salad
'1309': salary
'1310': salt
'1311': sample
'1312': sand
'1313': sandwich
'1314': satisfy
'1315': sauce
'1316': save
'1317': say
'1318': scarce
'1319': scene
'1320': scenery
'1321': scheme
'1322': school
'1323': science
'1324': scientist
'1325': scooter
'1326': scratch
'1327': scream
'1328': sculpture
'1329': sea
'1330': seagull
'1331': seal
'1332': seashore
'1333': season
'1334': seat
'1335': secretary
'1336': section
'1337': seed
'1338': seem
'1339': segment
'1340': self
'1341': sell
'1342': send
'1343': sense
'1344': sentry
'1345': sequence
'1346': serpent
'1347': sexy
'1348': shade
'1349': shadow
'1350': shame
'1351': shark
'1352': sharp
'1353': shed
'1354': sheep
'1355': shell
'1356': shelter
'1357': shepherd
'1358': sheriff
'1359': ship
'1360': shirt
'1361': shoe
'1362': shop
'1363': shopping
'1364': shore
'1365': short
'1366': shoulder
'1367': show
'1368': shrink
'1369': sick
'1370': sickness
'1371': side
'1372': sidewalk
'1373': sign
'1374': signature
'1375': silhouette
'1376': silver
'1377': simple
'1378': sin
'1379': sing
'1380': singer
'1381': sink
'1382': sinner
'1383': sit
'1384': situation
'1385': size
'1386': skate
'1387': skateboard
'1388': skating
'1389': skeleton
'1390': sketch
'1391': ski
'1392': skill
'1393': skin
'1394': skirt
'1395': skull
'1396': sky
'1397': skyline
'1398': skyscraper
'1399': sleep
'1400': slice
'1401': slide
'1402': slowdown
'1403': sly
'1404': small
'1405': smart
'1406': smile
'1407': smiley
'1408': smoke
'1409': smoking
'1410': snake
'1411': snow
'1412': snowman
'1413': society
'1414': sock
'1415': sofa
'1416': soldier
'1417': son
'1418': song
'1419': sorrow
'1420': soul
'1421': soup
'1422': south
'1423': speak
'1424': spend
'1425': sphere
'1426': spider
'1427': spine
'1428': spiral
'1429': spirit
'1430': splash
'1431': spoon
'1432': sport
'1433': sportsman
'1434': squad
'1435': square
'1436': squirrel
'1437': stadium
'1438': stag
'1439': staircase
'1440': stamp
'1441': stand
'1442': star
'1443': state
'1444': station
'1445': statue
'1446': steak
'1447': steal
'1448': steel
'1449': steeple
'1450': stencil
'1451': step
'1452': stewardess
'1453': sticker
'1454': stitch
'1455': stocking
'1456': stomach
'1457': stone
'1458': stop
'1459': store
'1460': stork
'1461': storm
'1462': story
'1463': strange
'1464': straw
'1465': strawberry
'1466': stream
'1467': street
'1468': strength
'1469': stripe
'1470': strong
'1471': stud
'1472': student
'1473': stuff
'1474': stupid
'1475': style
'1476': subway
'1477': succeed
'1478': suds
'1479': sugar
'1480': summer
'1481': sun
'1482': sunflower
'1483': sunglasses
'1484': sunlight
'1485': sunny
'1486': sunrise
'1487': sunset
'1488': sunshine
'1489': supper
'1490': sure
'1491': surf
'1492': surface
'1493': surfer
'1494': surgery
'1495': sushi
'1496': swamp
'1497': swan
'1498': swastika
'1499': sweater
'1500': sweet
'1501': swim
'1502': swimming
'1503': swimsuit
'1504': swing
'1505': sword
'1506': symbol
'1507': table
'1508': tail
'1509': take
'1510': tall
'1511': tank
'1512': target
'1513': task
'1514': tattoo
'1515': tax
'1516': taxi
'1517': tea
'1518': teacher
'1519': tear
'1520': teddy
'1521': teenager
'1522': teeth
'1523': telephone
'1524': temper
'1525': temple
'1526': terrible
'1527': terrier
'1528': terrific
'1529': text
'1530': texture
'1531': theatre
'1532': theft
'1533': theme
'1534': theory
'1535': thing
'1536': think
'1537': threat
'1538': throat
'1539': thumb
'1540': ticket
'1541': tiger
'1542': tile
'1543': timber
'1544': tin
'1545': tiny
'1546': tobacco
'1547': toddler
'1548': toe
'1549': toilet
'1550': tomato
'1551': tombstone
'1552': tongue
'1553': tooth
'1554': top
'1555': topic
'1556': tornado
'1557': totem
'1558': tough
'1559': tower
'1560': town
'1561': toy
'1562': track
'1563': traffic
'1564': tragedy
'1565': trail
'1566': train
'1567': tram
'1568': transformer
'1569': transition
'1570': travel
'1571': tree
'1572': trial
'1573': triangle
'1574': trick
'1575': trip
'1576': triumph
'1577': tropical
'1578': truck
'1579': try
'1580': tulip
'1581': tunnel
'1582': turkey
'1583': turtle
'1584': twig
'1585': umbrella
'1586': uncle
'1587': underground
'1588': understand
'1589': underwater
'1590': underwear
'1591': unhappy
'1592': unicorn
'1593': uniform
'1594': universe
'1595': university
'1596': unnecessary
'1597': urban
'1598': vacation
'1599': valentine
'1600': valley
'1601': value
'1602': van
'1603': vanish
'1604': vase
'1605': vehicle
'1606': vein
'1607': verdict
'1608': verify
'1609': vertex
'1610': vessel
'1611': victor
'1612': victory
'1613': view
'1614': village
'1615': vine
'1616': vinegar
'1617': vintage
'1618': vinyl
'1619': violation
'1620': violent
'1621': violet
'1622': violin
'1623': vision
'1624': vitamin
'1625': volcano
'1626': wagon
'1627': waist
'1628': walk
'1629': wall
'1630': wander
'1631': want
'1632': warrior
'1633': wash
'1634': wasp
'1635': water
'1636': waterfall
'1637': wave
'1638': way
'1639': wealth
'1640': weather
'1641': web
'1642': wedding
'1643': weed
'1644': week
'1645': weekend
'1646': weird
'1647': west
'1648': wet
'1649': wheat
'1650': wheel
'1651': whisker
'1652': whiskey
'1653': white
'1654': wide
'1655': wife
'1656': wig
'1657': wild
'1658': win
'1659': windmill
'1660': window
'1661': wine
'1662': wing
'1663': winner
'1664': winter
'1665': wire
'1666': wisdom
'1667': witch
'1668': withdraw
'1669': wizard
'1670': wolf
'1671': woman
'1672': wonderful
'1673': wood
'1674': wool
'1675': word
'1676': work
'1677': worker
'1678': world
'1679': wound
'1680': wrist
'1681': write
'1682': writer
'1683': yard
'1684': yellow
'1685': young
'1686': zebra
'1687': zombie
'1688': zone
'1689': zoo
splits:
- name: train
num_bytes: 22560862187.28
num_examples: 66380
download_size: 28488523298
dataset_size: 22560862187.28
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- image-classification
language:
- en
size_categories:
- 10K<n<100K
pretty_name: en
Dataset Description
"EN-CLDI" (en-cldi) contains 1690 classes, which contains images paired with verbs and adjectives. Each word within this set is unique and paired with at least 22 images.
It is the English subset of CLDI (cross-lingual dictionary induction) dataset from (Hartmann and Søgaard, 2018).
How to Use
from datasets import load_dataset
# Load the dataset
common_words = load_dataset("jaagli/en-cldi", split="train")
Citation
@misc{li2024visionlanguagemodelsshare,
title={Do Vision and Language Models Share Concepts? A Vector Space Alignment Study},
author={Jiaang Li and Yova Kementchedjhieva and Constanza Fierro and Anders Søgaard},
year={2024},
eprint={2302.06555},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2302.06555},
}
@inproceedings{hartmann-sogaard-2018-limitations,
title = "Limitations of Cross-Lingual Learning from Image Search",
author = "Hartmann, Mareike and
S{\o}gaard, Anders",
editor = "Augenstein, Isabelle and
Cao, Kris and
He, He and
Hill, Felix and
Gella, Spandana and
Kiros, Jamie and
Mei, Hongyuan and
Misra, Dipendra",
booktitle = "Proceedings of the Third Workshop on Representation Learning for {NLP}",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-3021",
doi = "10.18653/v1/W18-3021",
pages = "159--163",
abstract = "Cross-lingual representation learning is an important step in making NLP scale to all the world{'}s languages. Previous work on bilingual lexicon induction suggests that it is possible to learn cross-lingual representations of words based on similarities between images associated with these words. However, that work focused (almost exclusively) on the translation of nouns only. Here, we investigate whether the meaning of other parts-of-speech (POS), in particular adjectives and verbs, can be learned in the same way. Our experiments across five language pairs indicate that previous work does not scale to the problem of learning cross-lingual representations beyond simple nouns.",
}