Dataset Viewer
Auto-converted to Parquet Duplicate
index
int32
1.47B
1.97B
hashtag
stringlengths
1
41
segmentation
stringlengths
1
50
gold_position
int32
0
19
rank
sequence
1,467,856,821
therapyfail
therapy fail
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "therap y fail", "the rap y fail", "t her apy fail", "the rap yfail", "t he rap y fail", "thera py fail", ...
1,467,895,481
gayforpeavy
gay for peavy
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "g ay for p eavy", "gay for peav y", "gayforpe avy", "gay for pea vy", "gay for peavy", "gay f or p eavy",...
1,467,918,728
camerafail
camera fail
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "camera fai l", "ca mer a fail", "ca mera fail", "c amer a fail", "came raf a il", "came rafail", "cam...
1,468,099,958
fail
fail
0
{ "position": [ 1, 2, 3, 4, 5 ], "candidate": [ "fail", "fai l", "f ail", "f ai l", "fa il" ] }
1,468,113,109
KrispyKreme
Krispy Kreme
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "Krispy Kr e me", "Krispy Kre me", "Kris py Kreme", "Krispy Krem e", "Krispy K re me", "Kr is py Kreme", ...
1,468,156,574
fail
fail
0
{ "position": [ 1, 2, 3, 4, 5 ], "candidate": [ "fail", "fai l", "f ail", "f ai l", "fa il" ] }
1,468,243,138
Kulula
Kulula
3
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Kulu la", "K ul ul a", "Ku lu la", "Kulula", "Kul ula", "K ulul a", "Kul ul a", "K ulula", "Ku lula", "K ulu la", "Ku lul a", "Kulul a" ] }
1,468,244,914
surface
surface
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "surf ac e", "su rfac e", "s urf ace", "surf a ce", "surf ace", "s ur face", "sur fac e", "sur face", ...
1,468,293,310
rails
rails
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "candidate": [ "rails", "ra ils", "r ai ls", "r ails", "rai ls", "r ail s", "ra il s", "rail s" ] }
1,468,324,687
stuckrecord
stuck record
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "st uck record", "stuck rec ord", "s tu ck record", "stuck recor d", "stuck record", "stuc k record", ...
1,468,360,001
twitteriffic
twit teriffic
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "twitter if fi c", "twitter if fic", "twitter if f ic", "twitter iffic", "twit te riffic", "twit teri ffic...
1,468,374,080
startrek
star trek
12
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "startr ek", "sta rt rek", "st ar trek", "sta rtrek", "st artre k", "startre k", "star tre k", "st...
1,468,375,888
earthquake
earthquake
19
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "e a rthquake", "e a rt h quake", "earth quake", "earth qua ke", "e ar th quake", "earthqua ke", "ea r...
1,468,422,938
error
error
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "e rro r", "er ror", "e rr or", "er ro r", "err or", "erro r", "er r or", "error", "e rror" ] }
1,468,426,052
tracy
tracy
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "candidate": [ "tr acy", "t ra cy", "trac y", "tr ac y", "t racy", "t rac y", "tracy", "tra cy" ] }
1,468,449,262
Earthquake
Earthquake
19
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "E a rthquake", "E a rt h quake", "Earth quake", "Earth qua ke", "Earth q uake", "E ar th quake", "Ear...
1,468,472,365
fantasysurfer
fantasy surfer
14
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "fantasy su rfer", "fantas y surfer", "fantasy su rf er", "fantasy surfe r", "fantasys urfer", "fan ta sy ...
1,468,484,103
titsuptuesday
titsup tuesday
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "t its up tuesday", "titsup tuesday", "titsup tu es day", "titsuptu es day", "ti ts up tuesday", "tits up ...
1,468,506,889
House
House
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "candidate": [ "Ho us e", "House", "Hou se", "Ho use", "H ous e", "Hous e", "H ouse", "H ou se" ] }
1,468,518,616
babypunch
baby punch
18
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "bab ypunch", "babyp unch", "babypu nch", "babypunc h", "bab y punch", "baby pu nch", "baby p unch", ...
1,468,588,836
italy
italy
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "it a ly", "italy", "it aly", "i tal y", "i taly", "it al y", "i ta ly", "ital y", "ita ly" ] }
1,468,598,198
AutomationAtaCost
Automation At a Cost
10
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "Au to mation At a Cost", "Automat ion At a Cost", "Automation AtaC ost", "Automation A ta Cost", "Automation ...
1,468,639,063
rockbox
rock box
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "candidate": [ "ro ckb ox", "r ockbo x", "rockb ox", "rock bo x", "ro ckbo x", "rock b ox", "rock box", "r ockbox", "ro ck bo...
1,468,645,098
goodlife
good life
14
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "goodli fe", "goodl if e", "go odlif e", "goo dl if e", "go odlife", "good lif e", "g ood life", "...
1,468,653,290
Ambients
Ambients
5
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "A mbi ents", "Am bi ents", "A mbients", "A mb ients", "Ambient s", "Ambients", "Amb ie nts", "Am ...
1,468,659,365
theinbetweeners
the in betweeners
13
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "thei n betweeners", "t hein betweeners", "the in be twee ners", "the in between ers", "th ein betweeners", ...
1,468,674,937
Summers
Summers
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "candidate": [ "Summers", "Summer s", "S umm ers", "Su mmers", "Summ er s", "Summ ers", "S um mers", "Su mmer s", "Su mm ers", "S...
1,468,690,477
spotify
spotify
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "spotify", "sp oti fy", "spoti fy", "s potif y", "spo tify", "s poti fy", "s pot if y", "s po tify", "...
1,468,929,947
semantic
semantic
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "sem anti c", "sem a nti c", "semantic", "seman tic", "s emantic", "s eman tic", "se manti c", "se...
1,468,938,101
Virgin
Virgin
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Virgi n", "Vi rg in", "V irgin", "V ir gin", "Vir gin", "V irg in", "Virgin", "Vir gi n", "Vi rgin", "V irgi n", "Vi rgi n", "Virg in" ] }
1,468,947,202
Easter
Easter
12
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "candidate": [ "E a ster", "Ea ster", "East er", "E as ter", "E a st er", "E aste r", "Easte r", "E ast er", "E as te r", "E a ste r", "E aster", "Eas te...
1,468,991,999
barcodes
barcodes
19
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "barcod es", "b ar codes", "ba rco des", "b arcodes", "ba rc odes", "bar c od es", "b arc odes", "...
1,469,006,230
nickdarcy
nick darcy
5
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "nickdar cy", "ni ck darcy", "nick da rcy", "ni ckd arc y", "nick da rc y", "nick darcy", "nick d arc ...
1,469,049,688
house
house
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "candidate": [ "ho us e", "house", "hou se", "ho use", "h ous e", "hous e", "h ouse", "h ou se" ] }
1,469,340,761
Mesh09
Mesh 09
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Mesh09", "Mesh0 9", "M esh09", "Me sh 09", "M es h09", "Me sh09", "Mes h09", "Me sh0 9", "Mesh 09", "Mes h0 9", "M esh 09", "M esh0 9" ] }
1,469,363,074
House
House
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8 ], "candidate": [ "Ho us e", "House", "Hou se", "Ho use", "H ous e", "Hous e", "H ouse", "H ou se" ] }
1,469,501,005
ottawa
ottawa
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "ot tawa", "ot ta wa", "o ttaw a", "otta wa", "o tt awa", "o ttawa", "o tta wa", "ottawa", "ott aw a", "ott awa", "ot taw a", "ottaw a" ] }
1,469,702,025
IVAA09
IVAA 09
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "IVA A09", "IV AA09", "IVAA09", "IV AA0 9", "I VAA09", "IVA A0 9", "I VAA 09", "IVAA 09", "IV AA 09", "I VAA0 9", "IVAA0 9", "I VA A09" ] }
1,469,835,705
photog
photog
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "candidate": [ "p hoto g", "p hotog", "photog", "pho tog", "photo g", "ph ot og", "pho to g", "phot og", "ph oto g", "ph otog", "ph o tog", "p hot og", ...
1,469,889,030
bluepeter
blue peter
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "blue pete r", "blu epe ter", "blue p et er", "bluep eter", "blue p eter", "b lue peter", "blue p ete ...
1,469,947,123
WiiFit
Wii Fit
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "candidate": [ "Wii Fit", "Wi iFit", "Wii Fi t", "WiiFit", "W iiF it", "W iiFi t", "WiiFi t", "WiiF it", "Wi iF it", "Wi iFi t", "W iiFit", "Wii F it", ...
1,469,968,927
cricket
cricket
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "candidate": [ "cr ic ket", "crick et", "cricket", "cr ick et", "c ric ket", "c ri cket", "cric ket", "c rick et", "cricke t", "c...
1,470,126,516
Lahore
Lahore
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Lah ore", "Laho re", "L aho re", "La hor e", "L ah ore", "La hore", "L ahore", "Lahore", "L ahor e", "La ho re", "Lahor e", "Lah or e" ] }
1,470,181,979
Heroes
Heroes
9
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Her oe s", "H er oes", "H ero es", "He roes", "He ro es", "He roe s", "H eroes", "H eroe s", "Heroe s", "Heroes", "Hero es", "Her oes" ] }
1,548,344,054
frinightfever
fri night fever
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "fr inight fever", "fr ini ght fever", "fri night feve r", "fri ni ght fever", "fri night fever", "fri nig...
1,548,497,981
Angels
Angels
10
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "Ang el s", "An gels", "A ngel s", "An gel s", "A ngels", "An ge ls", "Angel s", "A ng els", "A nge ls", "Ange ls", "Angels", "Ang els" ] }
1,548,524,150
ASOT400
ASOT 400
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "ASOT400", "ASOT 4 00", "A SOT40 0", "AS OT 400", "ASOT 400", "ASO T40 0", "AS OT40 0", "ASO T4 00", "...
1,548,556,589
howling
howling
10
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "candidate": [ "h ow ling", "how lin g", "howl in g", "ho wli ng", "howli ng", "h owl ing", "ho wling", "h owli ng", "h owlin...
1,548,558,575
ASOT400
ASOT 400
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "ASOT400", "ASOT 4 00", "A SOT40 0", "AS OT 400", "ASOT 400", "ASO T40 0", "AS OT40 0", "ASO T4 00", "...
1,548,606,971
gamearena
game arena
10
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "gam ear en a", "game aren a", "game a ren a", "gamear en a", "ga me arena", "gamearen a", "game ar en...
1,548,658,165
socks
socks
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "s oc ks", "s ock s", "so c ks", "s ocks", "socks", "so ck s", "soc ks", "so cks", "sock s" ] }
1,548,695,442
plowed
plowed
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "p lowe d", "p lowed", "plowed", "pl owe d", "plowe d", "pl owed", "pl ow ed", "p low ed", "p lo wed", "plo wed", "plow ed", "plo we d" ] }
1,548,696,530
hillhouse
hill house
19
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "hill hou se", "hill ho us e", "h il l house", "hi llho use", "hillhous e", "hillho use", "hill h ouse...
1,548,702,550
randomfacts
random facts
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "random facts", "rando m facts", "random fac ts", "random fact s", "r an dom facts", "random f act s", ...
1,548,880,263
twunes
twunes
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "tw un es", "twun es", "t wu nes", "twu nes", "twunes", "t wune s", "tw une s", "t wunes", "t wun es", "tw unes", "twu ne s", "twune s" ] }
1,550,673,177
squirrel
squirrel
3
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "s quir rel", "squir rel", "s qu irrel", "squirrel", "squirre l", "squirr el", "squ irr el", "squ ...
1,550,683,539
painbuddies
pain buddies
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "pain buddies", "p ain buddies", "pain b ud dies", "pain buddie s", "pai nbuddies", "pain budd ie s", ...
1,550,697,114
bremen
bremen
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "candidate": [ "b remen", "b rem en", "breme n", "br em en", "b re men", "bre men", "bremen", "br e men", "brem en", "br eme n", "br emen", "bre me n", ...
1,550,723,297
idiotictwitterapps
idiotic twitter apps
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "idiotic t wit ter apps", "idiotic twit ter apps", "idiotic twitter a p ps", "idiotic twitter a pp s", "idioti...
1,550,749,862
readathon
readathon
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "re ada th on", "re a dat hon", "read a th on", "read ath on", "re a datho n", "re adat hon", "readath...
1,550,845,361
tltsym09
tltsym 09
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "tlt sym 09", "tlt sym09", "tltsym 09", "tlt s ym09", "tltsy m09", "tltsym09", "tl tsym09", "tlt s...
1,550,902,403
maximopark
maximo park
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "max imo park", "maximop ark", "maxi mop ark", "maxim op ark", "ma ximo park", "maxim opark", "maxi mo...
1,550,985,590
notacon
not a con
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "candidate": [ "notaco n", "not a con", "nota con", "n otaco n", "not a co n", "n ot a con", "notac on", "no ta con", "no tac...
1,551,019,984
satchat
sat chat
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "candidate": [ "satch at", "satchat", "sat c ha t", "s at chat", "sat chat", "sa tc hat", "satc hat", "sat ch at", "satcha t"...
1,551,115,839
phillycodecamp
philly code camp
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "philly codec a mp", "p hill y code camp", "philly code cam p", "philly codec amp", "phill y code camp", "...
1,551,117,430
campcourage
camp courage
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "ca mp courage", "campc our age", "camp c our age", "camp cou rag e", "camp courag e", "cam p courage", ...
1,551,299,191
barcamporlando
bar camp orlando
5
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "bar c amp orlando", "bar campo rl an do", "b ar camp orlando", "b arc amp orlando", "bar camp or la n do", ...
1,551,329,869
FifthSummit
Fifth Summit
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "Fifth Summi t", "Fi ft h Summit", "Fifth Su mmit", "Fif th Summit", "F ift h Summit", "Fifth Summ it", ...
1,551,483,516
stillnotreadyfor100degreeweatherbutluvPhx
still not ready for 100 degree weather but luv Phx
15
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "still not read y for 100 degree weather but luvPhx", "still not ready for 100 degree weather but lu vPhx", "still not...
1,551,511,051
spectrial
spec trial
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "spectria l", "spect ri al", "s pe c trial", "s pect rial", "spec trial", "s pec trial", "spe c trial"...
1,551,511,658
whuffie
whuffie
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 ], "candidate": [ "whuff ie", "whuffie", "w huf fie", "whu ffie", "wh uf fie", "whuf fie", "wh uffie", "whuffi e", "whuf fi e", "w h...
1,551,614,181
SUPA
SUPA
1
{ "position": [ 1, 2, 3, 4, 5 ], "candidate": [ "SUP A", "SUPA", "S UPA", "S UP A", "SU PA" ] }
1,551,643,728
democratic
democratic
17
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "d emo cratic", "democrat ic", "demo cra tic", "d em ocratic", "democra tic", "de mocratic", "democr a...
1,551,842,239
Flylady
Flylady
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "Fl ylad y", "F ly lady", "Fl ylady", "F lyla dy", "Fly lady", "F lylad y", "Fl yl ady", "Fly l ad y", ...
1,551,939,454
fifthsummit
fifth summit
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "fifth summi t", "fifth sum mi t", "fifth su mmit", "fifths ummi t", "fif th summit", "fifthsum mit", ...
1,551,960,000
nufc
nufc
3
{ "position": [ 1, 2, 3, 4, 5 ], "candidate": [ "n uf c", "n ufc", "nuf c", "nufc", "nu fc" ] }
1,551,967,730
tuttle
tuttle
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "tut tl e", "tutt le", "tu ttl e", "t uttl e", "tut tle", "tu tt le", "t utt le", "tu ttle", "tuttle", "t ut tle", "tuttl e", "t uttle" ] }
1,552,025,839
RSD09
RSD 09
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "R SD09", "R SD 09", "RSD 09", "RSD0 9", "RSD09", "RS D0 9", "R SD0 9", "RS D 09", "RS D09" ] }
1,552,026,856
sota09
sota 09
12
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ], "candidate": [ "so ta09", "s ota09", "sot a0 9", "so ta0 9", "so ta 09", "s ota0 9", "sot a09", "s ota 09", "s ot a 09", "sota09", "sota0 9", "sot a 09",...
1,552,027,066
webraising
web raising
0
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "web raising", "web r ai sing", "web rai sing", "we braising", "web rais ing", "webra is ing", "w eb r...
1,553,111,389
pussycatisland
pussy cat island
8
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "pussycat i sl and", "pussycat i sland", "pussy ca tis land", "pussycat is land", "pussycat is lan d", "pu...
1,553,139,260
cubbies
cubbies
10
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ], "candidate": [ "cub bie s", "cubb ies", "cub bi es", "cub b ie s", "cub bies", "cubbi es", "cu bbies", "c ubbie s", "c ubbies...
1,553,144,135
16
16
0
{ "position": [ 1 ], "candidate": [ "16" ] }
1,553,170,418
swfoocamp
sw foo camp
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "swfo o camp", "s wfoocamp", "s wfooc amp", "swfoocam p", "s wfoo camp", "swfo ocamp", "s wfoocam p", ...
1,553,331,103
epicfail
epic fail
15
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "ep icfail", "e picfa il", "e pi c fail", "epic f ail", "epic fa il", "epicf a il", "epicfa il", "...
1,553,420,637
pussycatis
pussycat is
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "pu ssy cat is", "puss yc at is", "pussycat is", "pus sycat is", "p ussycat is", "pussy catis", "pussy...
1,553,636,818
zenjar
zenjar
3
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "zenja r", "ze nj ar", "ze njar", "zenjar", "z en jar", "zen jar", "zen ja r", "z enjar", "zenj ar", "z enja r", "z enj ar", "ze nja r" ] }
1,553,642,447
TweetDeck
Tweet Deck
13
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "TweetDec k", "Tweet D eck", "T weetDeck", "Tweet D ec k", "TweetDe ck", "Twee tDec k", "Tw eetDeck", ...
1,553,765,833
fqfest
fqfest
9
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "fqf es t", "fqfe st", "f qfes t", "f qfest", "fq fes t", "fqf est", "fq fe st", "fqfes t", "f qfe st", "fqfest", "f qf est", "fq fest" ] }
1,554,039,899
iphone
iphone
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "iphon e", "i phon e", "ipho ne", "i phone", "ip hone", "ip ho ne", "i ph one", "iphone", "i ph on e", "ip hon e", "i pho ne", "iph one" ] }
1,554,102,974
RSD09
RSD 09
2
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "R SD09", "R SD 09", "RSD 09", "RSD0 9", "RSD09", "RS D0 9", "R SD0 9", "RS D 09", "RS D09" ] }
1,554,518,532
herebeforeoprah
here before oprah
17
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "here befor e oprah", "here before o pra h", "here be fo re oprah", "he re before oprah", "here b efore oprah"...
1,554,523,204
ASOT400
ASOT 400
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19 ], "candidate": [ "ASOT400", "ASOT 4 00", "A SOT40 0", "AS OT 400", "ASOT 400", "ASO T40 0", "AS OT40 0", "ASO T4 00", "...
1,555,725,585
UFC97
UFC 97
1
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9 ], "candidate": [ "U FC 97", "UFC 97", "UF C 97", "UF C9 7", "UF C97", "UFC97", "U FC9 7", "UFC9 7", "U FC97" ] }
1,555,877,160
ahbl
ahbl
0
{ "position": [ 1, 2, 3, 4, 5 ], "candidate": [ "ahbl", "ah bl", "a hb l", "a hbl", "ahb l" ] }
1,555,902,143
geekmeet
geek meet
11
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "geekm eet", "geekmee t", "g eekme et", "gee k meet", "ge ekmeet", "geekmeet", "gee kmeet", "gee k...
1,555,905,136
travis
travis
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ], "candidate": [ "t ra vis", "tr av is", "trav is", "t rav is", "tr avis", "travi s", "travis", "tr avi s", "tra vis", "t ravis", "tra vi s", "t ravi s" ] }
1,555,949,437
inlineslalom
inline slalom
4
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "in lines lalo m", "in lin e slalom", "in line slalom", "in l ine slalom", "inline slalom", "in line sla l...
1,555,949,933
indonesia
indonesia
7
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "in d one sia", "ind one sia", "in dones ia", "in do ne sia", "in d on esia", "in do nesia", "in dones...
1,555,987,122
barcamphanoi
barcamp hanoi
6
{ "position": [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20 ], "candidate": [ "bar camp ha no i", "bar camp hano i", "barca mp hanoi", "barc a mph a noi", "bar cam ph a noi", "ba r cam...
End of preview. Expand in Data Studio

YAML Metadata Warning: The task_categories "structure-prediction" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Dataset Card for Test-Stanford

Dataset Summary

Manually Annotated Stanford Sentiment Analysis Dataset by Bansal et al..

Languages

English

Dataset Structure

Data Instances

{
    "index": 1467856821,
    "hashtag": "therapyfail",
    "segmentation": "therapy fail",
    "gold_position": 8,
    "rank": {
        "position": [
            1,
            2,
            3,
            4,
            5,
            6,
            7,
            8,
            9,
            10,
            11,
            12,
            13,
            14,
            15,
            16,
            17,
            18,
            19,
            20
        ],
        "candidate": [
            "therap y fail",
            "the rap y fail",
            "t her apy fail",
            "the rap yfail",
            "t he rap y fail",
            "thera py fail",
            "ther apy fail",
            "th era py fail",
            "therapy fail",
            "therapy fai l",
            "the r apy fail",
            "the rapyfa il",
            "the rapy fail",
            "t herapy fail",
            "the rapyfail",
            "therapy f ai l",
            "therapy fa il",
            "the rapyf a il",
            "therapy f ail",
            "the ra py fail"
        ]
    }
}

Data Fields

  • index: a numerical index annotated by Kodali et al..
  • hashtag: the original hashtag.
  • segmentation: the gold segmentation for the hashtag.
  • gold_position: position of the gold segmentation on the segmentation field inside the rank.
  • rank: Rank of each candidate selected by a baseline word segmenter ( Segmentations Seeder Module ).

Dataset Creation

  • All hashtag segmentation and identifier splitting datasets on this profile have the same basic fields: hashtag and segmentation or identifier and segmentation.

  • The only difference between hashtag and segmentation or between identifier and segmentation are the whitespace characters. Spell checking, expanding abbreviations or correcting characters to uppercase go into other fields.

  • There is always whitespace between an alphanumeric character and a sequence of any special characters ( such as _ , :, ~ ).

  • If there are any annotations for named entity recognition and other token classification tasks, they are given in a spans field.

Additional Information

Citation Information

@misc{bansal2015deep,
      title={Towards Deep Semantic Analysis Of Hashtags}, 
      author={Piyush Bansal and Romil Bansal and Vasudeva Varma},
      year={2015},
      eprint={1501.03210},
      archivePrefix={arXiv},
      primaryClass={cs.IR}
}

Contributions

This dataset was added by @ruanchaves while developing the hashformers library.

Downloads last month
45

Paper for ruanchaves/test_stanford