Dataset Preview
Go to dataset viewer
index (int32)hashtag (string)segmentation (string)
0
"BrandThunder"
"Brand Thunder"
1
"iampissed"
"i am pissed"
2
"theotherthing"
"the other thing"
3
"iran88"
"iran88"
4
"BoysPlzTakeNote"
"Boys Plz Take Note"
5
"FedPolice"
"Fed Police"
6
"ChabadLubavitch"
"Cha bad Lubavitch"
7
"BestenDank"
"Besten Dank"
8
"MeuMomentoFofoqueiro"
"Meu Momento Fofoqueiro"
9
"spiders"
"spiders"
10
"mdbs"
"mdbs"
11
"ShouldStayinBoxWhereTheyBelong"
"Should Stay in Box Where They Belong"
12
"godaan"
"godaan"
13
"ZwaarVoorSchut"
"Zwaar Voor Schut"
14
"JamesLeGros"
"James Le Gros"
15
"woodf"
"woodf"
16
"backupand"
"back up and"
17
"FeelingSvelt"
"Feeling Svelt"
18
"1stconcert"
"1st concert"
19
"iwillnevergetover"
"i will never get over"
20
"themjeans"
"them jeans"
21
"HaveYouSeenTheDragon"
"Have You Seen The Dragon"
22
"MoonFruit"
"Moon Fruit"
23
"jinglede"
"jingle de"
24
"SideEffects"
"Side Effects"
25
"carmelindiana"
"carmel indiana"
26
"UpAndToTheRight"
"Up And To The Right"
27
"blogartikel"
"blog artikel"
28
"point2"
"point 2"
29
"SweetJobasDreams"
"Sweet Jobas Dreams"
30
"TedxDublin"
"Tedx Dublin"
31
"TotallyTekeeTomatoTeam"
"Totally Tekee Tomato Team"
32
"DrakeWars"
"Drake Wars"
33
"WednesdayComicRun"
"Wednesday Comic Run"
34
"fartnoise"
"fart noise"
35
"SupportSolano"
"Support Solano"
36
"YouknoYouFromTrinidad"
"You kno You From Trinidad"
37
"stabintheback"
"stab in the back"
38
"CityFail"
"City Fail"
39
"jrpg"
"jrpg"
40
"kaushal"
"kaushal"
41
"grueling"
"grueling"
42
"foresthills"
"forest hills"
43
"sinvoz"
"sin voz"
44
"tomorrowishisbirthday"
"tomorrow is his birthday"
45
"RalphLaurenfail"
"Ralph Lauren fail"
46
"onlinespiel"
"onlinespiel"
47
"virtuosos"
"virtuosos"
48
"BestTwitNames"
"Best Twit Names"
49
"reallytrue"
"really true"
50
"InaPerfectworld"
"In a Perfect world"
51
"itwouldbesweet"
"it would be sweet"
52
"nondriving"
"non driving"
53
"BangPop"
"Bang Pop"
54
"snuggley"
"snuggley"
55
"RealGhettoShit"
"Real Ghetto Shit"
56
"socialmediaseries"
"social media series"
57
"operarock"
"opera rock"
58
"gaskets"
"gaskets"
59
"ThingsIdoAtHomeButNotInPublic"
"Things I do At Home But Not In Public"
60
"snuggles"
"snuggles"
61
"snuggler"
"snuggler"
62
"patinete"
"patinete"
63
"BiblicalCounseling"
"Biblical Counseling"
64
"howmanykids"
"how many kids"
65
"stocknews"
"stock news"
66
"ThingsYouSayInTheShower"
"Things You Say In The Shower"
67
"dullconversation"
"dull conversation"
68
"ViveNunca"
"Vive Nunca"
69
"makemeweep"
"make me weep"
70
"devergonha"
"de vergonha"
71
"EncryptStick"
"Encrypt Stick"
72
"ficandovelho"
"ficando velho"
73
"MercedesSigns"
"Mercedes Signs"
74
"TeamEli"
"Team Eli"
75
"lifeaffirming"
"life affirming"
76
"AmFortydiet"
"Am Fortydiet"
77
"gakngeh"
"gak ngeh"
78
"malting"
"malting"
79
"dayumn"
"dayumn"
80
"travelclub"
"travel club"
81
"DozenDoNots"
"Dozen Do Nots"
82
"GrowingPains"
"Growing Pains"
83
"YelpEats"
"Yelp Eats"
84
"SaintSundayShoutouts"
"Saint Sunday Shoutouts"
85
"JamieArcher"
"Jamie Archer"
86
"EnglishMajors"
"English Majors"
87
"VacationBliss"
"Vacation Bliss"
88
"SaveMobyDick"
"Save Moby Dick"
89
"EarthHour2010"
"Earth Hour 2010"
90
"RocklinToday"
"Rocklin Today"
91
"shitpresents"
"shit presents"
92
"DataRoom"
"Data Room"
93
"youcaribbean"
"you caribbean"
94
"DerSpiegel"
"Der Spiegel"
95
"WastedWednesday"
"Wasted Wednesday"
96
"CelebritySpamssonTwitter"
"Celebrity Spamss on Twitter"
97
"overacheiver"
"overacheiver"
98
"fishgodeep"
"fish go deep"
99
"wingsetc"
"wings etc"
End of preview (truncated to 100 rows)

Dataset Card for SNAP

Dataset Summary

Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".

Languages

English

Dataset Structure

Data Instances

{
    "index": 0,
    "hashtag": "BrandThunder",
    "segmentation": "Brand Thunder"
}

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

@inproceedings{celebi2016segmenting,
  title={Segmenting hashtags using automatically created training data},
  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
  pages={2981--2985},
  year={2016}
}

Contributions

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

Edit dataset card
Evaluate models HF Leaderboard