AntoineBlanot/roberta-span-detection
Token Classification
•
Updated
•
48
Datasets:
Tasks:
Token Classification
Modalities:
Text
Sub-tasks:
named-entity-recognition
Languages:
English
Size:
1K - 10K
License:
tokens
sequence | tags
sequence |
|---|---|
[
"@paulwalk",
"It",
"'s",
"the",
"view",
"from",
"where",
"I",
"'m",
"living",
"for",
"two",
"weeks",
".",
"Empire",
"State",
"Building",
"=",
"ESB",
".",
"Pretty",
"bad",
"storm",
"here",
"last",
"evening",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
3,
9,
9,
12,
3,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"From",
"Green",
"Newsfeed",
":",
"AHFA",
"extends",
"deadline",
"for",
"Sage",
"Award",
"to",
"Nov",
".",
"5",
"http://tinyurl.com/24agj38"
] | [
12,
12,
12,
12,
2,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Pxleyes",
"Top",
"50",
"Photography",
"Contest",
"Pictures",
"of",
"August",
"2010",
"...",
"http://bit.ly/bgCyZ0",
"#photography"
] | [
0,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"today",
"is",
"my",
"last",
"day",
"at",
"the",
"office",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"4Dbling",
"'s",
"place",
"til",
"monday",
",",
"party",
"party",
"party",
".",
"<",
"3"
] | [
4,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"watching",
"the",
"VMA",
"pre-show",
"again",
"lol",
"it",
"was",
"n't",
"even",
"a",
"good",
"show",
"the",
"first",
"time",
"...",
"so",
"bored",
"!"
] | [
12,
12,
1,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"27",
"followers",
"!",
"30",
"followers",
"is",
"my",
"goal",
"for",
"today",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"This",
"is",
"the",
"2nd",
"hospital",
"ive",
"been",
"in",
"today",
",",
"but",
"ive",
"just",
"seen",
"a",
"doctor",
"who",
"was",
"an",
"older",
"version",
"of",
"justin",
":'",
")"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Friday",
"Night",
"Eats",
"http://twitpic.com/2pdvtr"
] | [
12,
12,
12,
12
] |
[
"Gotta",
"dress",
"up",
"for",
"london",
"fashion",
"week",
"and",
"party",
"in",
"style",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@Suzie55",
"whispering",
"cause",
"I",
"may",
"have",
"had",
"1",
"too",
"many",
"vodka",
"'s",
"last",
"night",
"and",
"am",
"a",
"lil",
"fragile",
",",
"hold",
"me",
"?"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
5,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"#NFL",
"Week",
"2",
"picks",
"blog",
"is",
"up",
"on",
"@The_Score",
"website",
"...",
"http://blogs.thescore.com/nfl/2010/09/17/pizzolaw2/"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"I",
"like",
"@SouljaBoy",
"songs",
"after",
"a",
"few",
"drinks"
] | [
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"...",
"asked",
"me",
"a",
"question",
"for",
"once",
",",
"but",
"no",
"!",
"You",
"ask",
"me",
"about",
"fucking",
"donuts",
"you",
"donut",
"...",
"have",
"a",
"nice",
"day",
":P"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"every",
"year",
"your",
"\"",
"bestfriend",
"\"",
"get",
"yo",
"ass",
"in",
"trouble",
"smdh",
"#doinme"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"RT",
"@midgetmegs",
":",
"hate",
"people",
"who",
"write",
"drunk",
"status'.",
"must",
"be",
"having",
"a",
"great",
"time",
"if",
"your",
"sat",
"writing",
"it",
"on",
"facebook",
"....."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
0,
12
] |
[
"@MrzEndy",
"tru",
"tru",
"I",
"'m",
"leavin",
"again",
"on",
"Tuesday",
"yo"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"The",
"guys",
"are",
"cooking",
"about",
"a",
"dozen",
"pizzas",
"at",
"our",
"house",
"for",
"the",
"tailgate",
"tonight",
".",
"Nonetheless",
"it",
"smells",
"fresh",
"in",
"this",
"place",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"I",
"heart",
"Park(ing",
")",
"Day",
"!",
"Photo",
"of",
"meter",
"shark",
":",
"http://bit.ly/aQun1b"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"hows",
"everyones",
"day",
"goin",
"?"
] | [
12,
12,
12,
12,
12
] |
[
"@Phoebe1_",
"and",
"i",
"also",
"loved",
"the",
"last",
"years",
"eurovision",
"entry",
"!!",
"hoppaa",
"!",
"they",
"were",
"cool",
"too",
"!!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"MetroPCS",
"has",
"the",
"worst",
"customer",
"service",
"I",
"'ve",
"experienced",
"in",
"months",
"(",
"trying",
"to",
"help",
"someone",
"order",
"a",
"phone",
")",
"#metropcs",
"#fail"
] | [
0,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@xSophieBx",
"He",
"has",
"a",
"habit",
"of",
"tweeting",
"at",
"the",
"same",
"time",
"as",
"you",
"lol"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"A",
"TRUE",
"friend",
"walks",
"in",
"when",
"everybody",
"else",
"walks",
"out",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Yay",
".",
"@penguin",
"is",
"coming",
"to",
"see",
"me",
"next",
"week",
"...",
"plotting",
"my",
"cooking",
"now",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@_mistercory",
"*Smiles",
"up",
"at",
"him*",
"Can",
"we",
"just",
"...",
"sit",
"together",
"for",
"a",
"while",
"before",
"round",
"two",
"?"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"the",
"tears",
"may",
"have",
"been",
"and",
"gone",
",",
"but",
"the",
"feeling",
"still",
"stay",
"the",
"same",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@BieberEgypt",
"I",
"'ve",
"got",
"some",
"bad",
"news",
",",
"Yeah",
"I",
"cant",
"come",
"to",
"the",
"meeting",
"tomorrow",
".",
":",
"S"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@abzmedic",
"I",
"'m",
"missing",
"autumn",
"because",
"of",
"work",
".",
":(",
"I",
"must",
"get",
"into",
"the",
"forests",
"tomorrow",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Fellas",
"Do",
"n't",
"just",
"lick",
"the",
"PussyY",
",",
"LOVE",
"IT",
"!",
"enjoy",
"it",
".",
"like",
"u",
"just",
"got",
"married",
"<",
"the",
"preacher",
"said",
"u",
"may",
"kiss",
"the",
"bride"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"RT",
"@Sexstrology",
":",
"Pisces",
"tend",
"to",
"escape",
"into",
"fantasy",
"and",
"day",
"dreams",
".",
"There",
"they",
"are",
"free",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Cant",
"wait",
"for",
"the",
"ravens",
"game",
"tomorrow",
"....",
"go",
"ray",
"rice",
"!!!!!!!"
] | [
12,
12,
12,
12,
2,
12,
12,
12,
12,
4,
10,
12
] |
[
"I",
"just",
"took",
"\"",
"When",
"your",
"mom",
"makes",
"you",
"go",
"live",
"with",
"your",
"dad",
"Scooter",
"Braun",
",",
"your",
"life",
"...\"",
"and",
"got",
":",
"Part",
"7",
"!",
"Try",
"it",
":",
"http://tinyurl.com/27r2pdz"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
4,
10,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"I",
"miss",
"being",
"able",
"to",
"run",
"and",
"dance",
"around",
"all",
"day",
"instead",
"of",
"having",
"to",
"catch",
"my",
"breath",
"every",
"five",
"minutes",
"of",
"my",
"life",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"@SnoopDogg",
"hey",
"snoop",
"my",
"wife",
"Cath",
"is",
"30",
"today",
",",
"any",
"chance",
"of",
"a",
"shout",
"out",
"to",
"her",
","
] | [
12,
12,
4,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Today",
"I",
"got",
"a",
"promotion",
"at",
"work",
",",
"and",
"tomorrow",
"I",
"'m",
"going",
"home",
"to",
"Wisconsin",
"for",
"a",
"few",
"days",
".",
"So",
"content",
"with",
"life",
"right",
"now",
".",
":)"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
3,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"TWEET",
"!",
"@stjosephs",
"Empls",
"of",
"the",
"Month",
":",
"Deborah",
"L",
"#Speech",
"#Pathologist-Childrens",
"Rehab",
"and",
"Patricia",
"M",
"#Referral/#Auth",
"#Spec-#Womens",
"#Care",
"!"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
4,
10,
12,
12,
12,
12,
4,
10,
12,
12,
12,
12
] |
[
"RT",
"@LilTwist",
":",
"RT",
"this",
"if",
"you",
"want",
"me",
"to",
"go",
"back",
"live",
"on",
"Ustream",
"later",
"tonight"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
0,
12,
12
] |
[
"Really",
"hope",
"I",
"can",
"get",
"to",
"@glasgowfilm",
"for",
"Winter",
"'s",
"Bone",
"-",
"need",
"to",
"get",
"on",
"with",
"job",
"applications",
"tonight",
"then",
"!",
"Trailer",
":",
"http://bit.ly/bhUlum"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
1,
7,
7,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"RT",
"@WeSpazForJB",
":",
"http://twitpic.com/2nn4ee",
"<",
"----",
"still",
"the",
"funniest",
"photo",
".",
"of",
"all",
"time",
".",
"ALL",
"TIME",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"I",
"have",
"eaten",
"a",
"large",
"quantity",
"of",
"oranges",
"this",
"week",
"..."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Bonfire",
"tonite",
".",
"All",
"are",
"welcome",
",",
"joe",
"included"
] | [
12,
12,
12,
12,
12,
12,
12,
4,
12
] |
[
"@KFSH",
"totally",
"!",
"I",
"can",
"go",
"a",
"week",
"w/o",
"tv",
",",
"phones",
"or",
"a",
"computer",
".",
"I",
"get",
"some",
"time",
"to",
"myself",
"and",
"God",
".",
"Brings",
"peace",
"into",
"my",
"life",
"."
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
4,
12,
12,
12,
12,
12,
12,
12
] |
[
"i",
"want",
"a",
"bath",
"but",
"do",
"n't",
"have",
"a",
"bath",
",",
"shut",
"up",
",",
"sam",
"'s",
"coming",
"tomorrow",
"and",
"steve",
"and",
"tanya",
"will",
"be",
"round",
"at",
"10am",
"so",
"go",
"away",
"you",
"mean",
"people"
] | [
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
4,
12,
12,
12,
12,
4,
12,
4,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"What",
"Do",
"S.F.",
"Rabbis",
"Eat",
"Before",
"and",
"After",
"Yom",
"Kippur",
"?",
"We",
"Asked",
"Five",
"to",
"Enlighten",
"Us",
"!",
"via",
"@SFoodie",
"http://bit.ly/aQrFUz"
] | [
12,
12,
3,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Not",
"only",
"is",
"it",
"#BattlestarGalactica",
"'s",
"32nd",
"Anniversary",
",",
"tonite",
"is",
"the",
"3rd",
"season",
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[
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[
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[
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[
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[
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[
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[
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[
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[
"RT",
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12,
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[
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",",
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12,
12,
12
] |
[
"@BornThisWayBaby",
"thankk",
"yhuu",
"#monsterlove",
"u",
"just",
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"my",
"day",
":D"
] | [
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12,
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12,
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[
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"[Haters",
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"]",
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[
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",",
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"Lounge",
"TONIGHT",
"!",
"Say",
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"are",
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"salsa",
"caliente",
"and",
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"in",
"...",
"http://fb.me/FZVzm8H9"
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9,
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12,
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12,
12,
4,
10,
12,
12,
12,
12,
12
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[
"@jackjohnson",
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"list",
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"at",
"Berkeley",
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12,
12,
12,
12,
12,
12,
12,
12,
12,
3,
12,
12,
12,
12
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[
"Check",
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"video",
"out",
"--",
"Three",
"Days",
"Grace",
"-",
"Break",
"(",
"Official",
"Music",
"Video",
")",
"[",
"HQ",
"]",
"http://t.co/GOwCLQJ",
"via",
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8,
8,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"Haha",
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"seen",
"a",
"ped",
"egg",
"called",
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"foot",
"cheese",
"grater",
"today",
".",
"I",
"found",
"it",
"proper",
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"xD"
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12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
] |
[
"friday",
"night",
"missions",
"iguess",
"!"
] | [
12,
12,
12,
12,
12
] |
[
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".",
":D",
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"guys",
"!,"
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12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
12
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[
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"Force",
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"VERY",
"strong",
"with",
"the",
"#Padres",
"tonight",
".",
"We",
"NEED",
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"#ScoreSomeRuns"
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12,
12,
12,
12,
12,
12,
12,
12
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[
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",",
"how",
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"are",
"you",
"?",
"HER",
":",
"I",
"'m",
"15",
"..",
"old",
"enough",
"!........",
"#FindTheNearestExit"
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12,
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12,
12,
12,
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[
"RT",
"@ericjohnsalut",
"\"",
"Good",
"Morning",
"!",
"Have",
"a",
"pleasant",
"and",
"happy",
"day",
"!\"",
"http://dlvr.it/5Rh4w"
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12,
12,
12,
12,
12,
12,
12,
12,
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[
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",?",
";)"
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12,
12,
12,
12,
12,
12
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[
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"dad",
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"when",
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12,
12,
12,
12,
12,
12,
12,
12,
12,
12,
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12,
12
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[
"OH",
":",
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"I'm",
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"for",
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",",
"haha",
".",
"Goodnight",
".",
":)",
"http://bit.ly/9fQGkC"
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12,
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12
] |
End of preview. Expand
in Dataset Viewer.
Dataset Card for "tner/wnut2017"
Dataset Summary
WNUT 2017 NER dataset formatted in a part of TNER project.
- Entity Types:
creative-work,corporation,group,location,person,product
Dataset Structure
Data Instances
An example of train looks as follows.
{
'tokens': ['@paulwalk', 'It', "'s", 'the', 'view', 'from', 'where', 'I', "'m", 'living', 'for', 'two', 'weeks', '.', 'Empire', 'State', 'Building', '=', 'ESB', '.', 'Pretty', 'bad', 'storm', 'here', 'last', 'evening', '.'],
'tags': [12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 3, 9, 9, 12, 3, 12, 12, 12, 12, 12, 12, 12, 12]
}
Label ID
The label2id dictionary can be found at here.
{
"B-corporation": 0,
"B-creative-work": 1,
"B-group": 2,
"B-location": 3,
"B-person": 4,
"B-product": 5,
"I-corporation": 6,
"I-creative-work": 7,
"I-group": 8,
"I-location": 9,
"I-person": 10,
"I-product": 11,
"O": 12
}
Data Splits
| name | train | validation | test |
|---|---|---|---|
| wnut2017 | 2395 | 1009 | 1287 |
Citation Information
@inproceedings{derczynski-etal-2017-results,
title = "Results of the {WNUT}2017 Shared Task on Novel and Emerging Entity Recognition",
author = "Derczynski, Leon and
Nichols, Eric and
van Erp, Marieke and
Limsopatham, Nut",
booktitle = "Proceedings of the 3rd Workshop on Noisy User-generated Text",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-4418",
doi = "10.18653/v1/W17-4418",
pages = "140--147",
abstract = "This shared task focuses on identifying unusual, previously-unseen entities in the context of emerging discussions. Named entities form the basis of many modern approaches to other tasks (like event clustering and summarization), but recall on them is a real problem in noisy text - even among annotators. This drop tends to be due to novel entities and surface forms. Take for example the tweet {``}so.. kktny in 30 mins?!{''} {--} even human experts find the entity {`}kktny{'} hard to detect and resolve. The goal of this task is to provide a definition of emerging and of rare entities, and based on that, also datasets for detecting these entities. The task as described in this paper evaluated the ability of participating entries to detect and classify novel and emerging named entities in noisy text.",
}
- Downloads last month
- 159
Repository:
T-NER
Paper:
aclanthology.org
Dataset:
WNUT 2017
Domain:
Twitter, Reddit, YouTube, and StackExchange
Number of Entity:
6
Size of downloaded dataset files:
1.35 MB
Size of the auto-converted Parquet files:
449 kB
Number of rows:
4,691