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index (int32)hashtag (string)segmentation (string)
0
"tryingtosleep"
"trying to sleep"
1
"mixture"
"mixture"
2
"runit"
"run it"
3
"whatadream"
"what a dream"
4
"keepitcoming"
"keep it coming"
5
"originalman"
"original man"
6
"sportsnews"
"sports news"
7
"onrepeat"
"on repeat"
8
"creative"
"creative"
9
"thegrandmaster"
"the grandmaster"
10
"nicee"
"nicee"
11
"photocontest"
"photo contest"
12
"linux"
"linux"
13
"exactwords"
"exact words"
14
"cursing"
"cursing"
15
"degeneratemedia"
"degenerate media"
16
"powercouple"
"power couple"
17
"factsoflife"
"facts of life"
18
"badatreferences"
"bad at references"
19
"awardshow"
"award show"
20
"cyclists"
"cyclists"
21
"season1episode2"
"season 1 episode 2"
22
"boxervsrain"
"boxer vs rain"
23
"lovewithouttragedy"
"love without tragedy"
24
"inmyopinion"
"in my opinion"
25
"thatsmydaddy"
"thats my daddy"
26
"whatelseisnew"
"what else is new"
27
"privateschoolprobz"
"private school probz"
28
"Deleanorrie"
"Deleanorrie"
29
"Batflack"
"Batflack"
30
"Mikey"
"Mikey"
31
"Copped"
"Copped"
32
"NextMicrosoftCEO"
"Next Microsoft CEO"
33
"longlive"
"long live"
34
"usairways"
"us airways"
35
"Hoodrat"
"Hood rat"
36
"FINALLY"
"FINALLY"
37
"heronrine"
"heronrine"
38
"TheDuo"
"The Duo"
39
"heartless"
"heartless"
40
"CastleonTNT"
"Castle on TNT"
41
"Espana"
"Espana"
42
"YouHitItFirst"
"You Hit It First"
43
"noideawhy"
"no idea why"
44
"7thSeptember"
"7 th September"
45
"SyawalJuga"
"Syawal Juga"
46
"RootyQ"
"Rooty Q"
47
"corn"
"corn"
48
"dingdingding"
"ding ding ding"
49
"BeatLA"
"Beat LA"
50
"ThatsAttractive"
"Thats Attractive"
51
"syrian"
"syrian"
52
"AmWriting"
"Am Writing"
53
"Have"
"Have"
54
"NSAplz"
"NSA plz"
55
"emblem3"
"emblem3"
56
"WEATHERDELAYS"
"WEATHER DELAYS"
57
"booktrailer"
"book trailer"
58
"DailyFantasy"
"Daily Fantasy"
59
"21ReasonsWhyILoveDemi"
"21 Reasons Why I Love Demi"
60
"WhenSnoopHostsBETHipHopAwards"
"When Snoop Hosts BET Hip Hop Awards"
61
"NewYorkGiants"
"New York Giants"
62
"keeppounding"
"keep pounding"
63
"Reporter"
"Reporter"
64
"Hillary2016"
"Hillary 2016"
65
"Falcons"
"Falcons"
66
"RobertDeNiro"
"Robert De Niro"
67
"Auspol"
"Auspol"
68
"Etsy"
"Etsy"
69
"LakeHouse"
"Lake House"
70
"everyoneknowsthis"
"everyone knows this"
71
"youcandefinitelyhearusroar"
"you can definitely hear us roar"
72
"Lumens"
"Lumens"
73
"MonaNelsonTrial"
"Mona Nelson Trial"
74
"DUCKFACE"
"DUCKFACE"
75
"TheFinalCut"
"The Final Cut"
76
"WhatALadYouAre"
"What A Lad You Are"
77
"AlwaysOn"
"Always On"
78
"sorrygirls"
"sorry girls"
79
"ThinkOutOfTgeBox"
"Think Out Of Tge Box"
80
"BetterCallSaul"
"Better Call Saul"
81
"TheFreshPrinceOfBelAir"
"The Fresh Prince Of Bel Air"
82
"GetDunkedon"
"Get Dunked on"
83
"waldoiscool"
"waldo is cool"
84
"joemacintosh"
"joe macintosh"
85
"pandoraonpointtho"
"pandora onpoint tho"
86
"workisdeath"
"work is death"
87
"jaimelovesstuff"
"jaime loves stuff"
88
"SmallBusiness"
"Small Business"
89
"AriantorsAreWorried"
"Ariantors Are Worried"
90
"Doggie"
"Doggie"
91
"ANTMBritshInvasion"
"ANTM Britsh Invasion"
92
"nano"
"nano"
93
"RosebarDayParty"
"Rosebar Day Party"
94
"willpower"
"willpower"
95
"favoritebook"
"favorite book"
96
"NoDaysOff"
"No Days Off"
97
"royalclubentertainment"
"royal club entertainment"
98
"Bruce2Wpg"
"Bruce 2 Wpg"
99
"GimmeGimmeGimme"
"Gimme Gimme Gimme"
End of preview (truncated to 100 rows)

Dataset Card for BOUN

Dataset Summary

Dev-BOUN is a Development set that includes 500 manually segmented hashtags. These are selected from tweets about movies, tv shows, popular people, sports teams etc.

Test-BOUN is a Test set that includes 500 manually segmented hashtags. These are selected from tweets about movies, tv shows, popular people, sports teams etc.

Languages

English

Dataset Structure

Data Instances

{
    "index": 0,
    "hashtag": "tryingtosleep",
    "segmentation": "trying to sleep"
}

Data Fields

  • index: a numerical index.
  • hashtag: the original hashtag.
  • segmentation: the gold segmentation for the hashtag.

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

@article{celebi2018segmenting,
  title={Segmenting hashtags and analyzing their grammatical structure},
  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
  journal={Journal of the Association for Information Science and Technology},
  volume={69},
  number={5},
  pages={675--686},
  year={2018},
  publisher={Wiley Online Library}
}

Contributions

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

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