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tner
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Datasets
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tokens
sequence
tags
sequence
id
stringlengths
19
19
date
stringlengths
10
10
[ "Hanging", "out", "with", "the", "#", "Popinboyz", "and", "it", "'s", "been", "an", "amazing", "experience", ".", "Afro", "paper", ":", "the", "rolling", "stone", "project", "and", "I", "do", "n't", "think", "you", "know", "Popin", "boyz", "are", "projects", "that", "'s", "gonna", "shake", "the", "industry", ".", "Do", "n't", "sleep", "on", "{{USERNAME}}", "{{USERNAME}}", "{{USERNAME}}", "Watch", "out", "for", "these", "guys" ]
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1224056835298250758
2020-02-02
[ "\"", "It", "'s", "not", "a", "question", "of", "knowing", "right", "away", "if", "your", "job", "---", "is", "your", "dream", "job", "---", "but", "finding", "your", "passion", "in", "the", "job", "that", "you", "have", ".", "\"", "-", "{@Atom Araullo@}", "#", "PaanoBaToVlogs", "#", "QuotableQuote", "#", "CareerisMyPassion", "#", "LoveMyJob", "#", "CareerGoals", "#", "Passionate" ]
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1273251723398623232
2020-06-17
[ "{{URL}}", "presents", "{{USERNAME}}", "at", "the", "venue", "for", "Prog", "in", "the", "Park", "2.0", "{{URL}}", "via", "{@YouTube@}", "Do", "n't", "just", "take", "my", "word", "about", "how", "braw", "{@Fife Council@}", "The", "Glen", "Pavilion", "is", "{{USERNAME}}" ]
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1224029146206167044
2020-02-02
[ ".", "{@Air Force Football@}", "posted", "its", "first", "10-win", "regular", "season", "under", "head", "coach", "Troy", "Calhoun", "and", "first", "since", "the", "1998", "team", "went", "11-1", "and", "picked", "up", "the", "programs", "400th", "win", "{{URL}}" ]
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1201017635313291266
2019-12-01
[ "Lifeprint", "2x3", "Instant", "Printer", "for", "iPhone", ".", "Turn", "Your", "iPhone", "Into", "an", "Instant-Pr", "..", ".", "{{URL}}", "via", "{@Amazon@}", "Harry", "Potter", "Magic", "Photo", "and", "Video", "Printer", "for", "iPhone", "and", "Android", ".", "Your", "Phot" ]
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1246739207046995969
2020-04-05
[ "#", "SenaSeMaafiMaangoAajTak", "{@AajTak@}", "I", "guess", "negative", "journalism", "made", "you", "India", "'s", "most", "watched", "News", "channel", ".", "Because", "you", "provide", "news", "that", "make", "the", "big", "beard", "guys", "happy", "." ]
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1272977610599993352
2020-06-16
[ "Watching", "{{USERNAME}}", "’s", "new", "YT", "video", "&", "I", "almost", "ran", "a", "lap", "around", "the", "room", "when", "she", "said", "you", "should", "n’t", "need", "to", "use", "more", "than", "1", "styler", "(", "cocktailing", ")", "if", "the", "styler", "does", "n’t", "do", "the", "job", "that", "it", "says", "it", "will", "do", ",", "it", "’s", "not", "the", "styler", "for", "you", "!", "And", "it", "will", "save", "you", "$$$", "in", "the", "long", "run" ]
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1178306384657616897
2019-09-29
[ "\"", "Billionaire", "Philanthropists", "Lynda", "and", "Stewart", "Resnick", "Just", "Donated", "$", "750", "Million", "to", "Fight", "Climate", "Change", "..", ".", "The", "owners", "of", "Wonderful", "Company", ",", "the", "Resnicks", "own", "businesses", "that", "are", "considered", "to", "be", "especially", "damaging", "to", "the", "environment", ".", "\"", "{{URL}}", "via", "{@RobbReport@}" ]
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1178095975530844160
2019-09-28
[ "Tyson", "Fury", "dominates", "Deontay", "Wilder", "to", "become", "heavyweight", "champion", "again", "{{URL}}", "via", "{@NBC News@}" ]
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1231665637933666306
2020-02-23
[ "Sorry", "I", "'m", "late", "but", "she", "'s", "awesome", "so", "follow", "and", "check", "the", "link", "{{USERNAME}}", "Join", "FREE", "today", "only", "!!", "Come", "have", "fun", "with", "me", "on", "my", "fan", "page", "!", "You", "DO", "NOT", "want", "to", "miss", "this", ".", "Happy", "Valentines", "Day", "!", "{{URL}}" ]
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1228945465007312896
2020-02-16
[ "Wow", "what", "a", "first", "stream", "back", "!", "Went", "way", "longer", "than", "expected", ",", "but", "why", "stop", "if", "you", "’re", "having", "fun", "!", "Shoutout", "to", "{{USERNAME}}", "and", "{{USERNAME}}", "for", "the", "raids", "!", "And", "thank", "you", "{{USERNAME}}", "for", "the", "gifted", "!", "We", "hit", "300", "followers", "on", "twitch", "so", "thank", "you", "everyone", "for", "getting", "us", "there", "!" ]
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1297076434633138179
2020-08-22
[ "3", "days", "left", "in", "the", "decade", "and", "we", "recognize", "3", "{{USERNAME}}", "teams", "that", "advanced", "to", "the", "Final", "Four", "in", "2010s", ".", "Which", "years", "did", "the", "Tommies", "make", "deep", "runs", "this", "decade", "?", "{{USERNAME}}", "{{USERNAME}}" ]
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1211465600771534850
2019-12-30
[ "Russia", "offers", "Turkey", "to", "send", "astronaut", "to", "space", "station", "-", "Turkey", "News", "{{URL}}", "via", "{@Hürriyet Daily News@}" ]
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1180813932417765376
2019-10-06
[ "I", "’m", "so", "happy", "that", "the", "{@The New York Times@}", "sees", "in", "{@Mondaire Jones@}", "and", "{@Jamaal Bowman@}", "what", "the", "progressive", "grassroots", "in", "Westchester", ",", "Rockland", "and", "the", "Bronx", "sees", "!", "They", "will", "both", "be", "extraordinary", "Congresspersons", "!", "#", "cvhpower", "#", "nycd17", "#", "nycd16" ]
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1271589466935828482
2020-06-12
[ "#", "SexSoLoudThat", "you", "’d", "think", "the", "{@Chicago Cubs@}", "won", "the", "World", "Series", "again", "." ]
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1226376804744777731
2020-02-09
[ "Climate", "change", "is", "expected", "to", "HALVE", "the", "total", "land", "suitable", "for", "coffee", "production", "by", "2050", ".", "Learn", "how", "{{USERNAME}}", "is", "helping", "increase", "extension", "so", "that", "farmers", "in", "Kenya", "can", "continue", "their", "livelihoods", "&", "combat", "climate", "change", ":", "{{URL}}", "#", "climatechange", "#", "coffee", "#", "farming" ]
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1177674018687729664
2019-09-27
[ "OL", "Reign", "acquire", "Rose", "Lavelle", "'s", "NWSL", "rights", ";", "Lavelle", "reportedly", "headed", "to", "Manchester", "City", "{{URL}}", "via", "{@Enquirer@}", "{@Enquirer Sports@}", "{@Pat Brennan@}" ]
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1295143441534459905
2020-08-16
[ "I", "'m", "scared", "to", "watch", "{@TOMORROW X TOGETHER@}", "new", "music", "video", "!" ]
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1277450070888026112
2020-06-29
[ "Happy", "New", "Year", "’s", "Day", "!", "How", "are", "you", "all", "feeling", "?", "It", "was", "great", "to", "wake", "up", "this", "morning", "and", "see", "how", "much", "you", "'ve", "raised", "by", "supporting", "our", "appeal", ".", "Massive", "thanks", "to", "{{USERNAME}}", "{{USERNAME}}", ",", "{{USERNAME}}", "and", "all", "our", "followers", "#", "Gratitude", "#", "ThankYou", "{{URL}}" ]
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1212311739523575809
2020-01-01
[ "New", "post", "in", "For", "latest", "deals", "/", "coupons", "on", "amazon", "/", "flipkart", "/", "myntra", "/", "paytm", "etc", "and", "for", "faster", "updates", "one", "deals", "/", "coupons", "please", "join", "our", "telegram", "channel", "Link", "to", "join", "channel", "{{URL}}", "Or", "just", "search", "{{USERNAME}}", "in", "telegram", "{{URL}}", "homefrdeals" ]
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1251779634691260416
2020-04-19
[ "NEW", "{@Shonen Jump@}", "chapters", "for", "#", "JujutsuKaisen", ",", "#", "UndeadUnluck", "and", "#", "AgravityBoys", "out", "today", "!!!", "Also", "NEW", "episode", "of", "#", "IDInvaded", "today", "!!!!", "Let", "'s", "go", ",", "Sunday", "!!", "!" ]
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1221401079570685952
2020-01-26
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1235685730795413504
2020-03-05
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1174049130928386051
2019-09-17
[ "Had", "an", "awesome", "burger", "earlier", "!", "Meaty", "patty", ",", "peanut", "butter", ",", "chilli", "jam", ",", "maple", "cheese", ",", "caramel", "(?)", "waffle", ",", "sweet", "cure", "(?)", "bacon", "and", "other", "awesomeness", "wrapped", "in", "a", "tasty", "brioche", ".", "Thanks", "{{USERNAME}}", "welcome", "back", "{{USERNAME}}" ]
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1221249292825964546
2020-01-26
[ "Senior", "Night", "Friday", ",", "November", "1", ",", "6:30", "pm", "Come", "show", "your", "appreciation", "for", "the", "contributions", "made", "by", "Senior", "football", "players", ",", "Cheerleaders", ",", "and", "Marching", "Band", "members", ".", "{{USERNAME}}", "{{USERNAME}}", "{{USERNAME}}", "{{USERNAME}}", "{{USERNAME}}" ]
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1190266679978287104
2019-11-01
[ "12th", "April", "(", "{@Vatican News@}", "By", "Sr", "Bernadette", "Mary", "Reis", ",", "fsp", ")", "#", "PopeFrancis", "#", "Pope", "Francis", "at", "Easter", "Vigil", ":", "‘", "Even", "from", "the", "grave", "Jesus", "brings", "life’", "{{URL}}" ]
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1249155270183473153
2020-04-12
[ "I", "have", "never", "been", "excited", "for", "American", "football", "in", "all", "of", "my", "life", "(", "even", "when", "my", "brother", "played", "in", "high", "school", ")", "but", "after", "watching", "the", "XFL", "games", "yesterday", ",", "I", "think", "I", "might", "start", "taking", "an", "interest", ".", "{{USERNAME}}" ]
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1226566376086757376
2020-02-09
[ "A", "great", "performance", "from", "our", "U15s", "today", "over", "{{USERNAME}}", ".", "Both", "teams", "battled", "hard", "in", "tough", "conditions", "but", "in", "the", "end", "it", "was", "the", "#", "BlueArmy", "that", "booked", "their", "place", "in", "the", "League", "Cup", "Semi", "Final", "." ]
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1231579354897035265
2020-02-23
[ "Eid", "Mubarak", "once", "again", "This", "is", "a", "joyous", "occasion", "for", "every", "Muslim", "and", "I", "hope", "everyone", "reading", "this", "enjoys", "themselves", "Eid", "Mubarak", "everyone", "This", "is", "a", "joyous", "occasion", "for", "every", "Muslim", "and", "I", "hope", "everyone", "enjoys", "themselves", "today", "#", "PakArmysEidWith", "_", "BTS", "#", "EidMubarak", "{@ARY News@}" ]
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1264434186389196800
2020-05-24
[ "Taika", "Waititi", "Directed", "'", "The", "Mandalorian", "'", "In", "His", "Pyjamas", "From", "A", "Sofa", "!", "-", "Fantha", "Tracks", "{{URL}}", "{{USERNAME}}", "#", "themandalorian" ]
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1196179303114952704
2019-11-17
[ "Sense", "cruel", "child", "murders", "on", "Christmas", "Day", "make", "me", "realize", "once", "again", "we", "have", "to", "put", "children", "first", "on", "the", "national", "agenda", ".", "That", "'s", "one", "more", "reason", "why", "{@Elizabeth Warren@}", "is", "the", "best", "candidate", "for", "President", "of", "the", "United", "States", ".", "#", "wecandobetterUSA", "#", "dontletselfservingTrumpiansfoolyou", "#", "edchat" ]
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1210861717695152131
2019-12-28
[ "SOCCER", "CHANGES", "TODAY", "vs", "{{USERNAME}}", "JV", "moved", "back", "to", "5", "today", "and", "varsity", "to", "6", "30", "instead", "of", "4", "30", "and", "6", ".", "JV", "game", "shortened", "to", "30", "min", "halves", "running", "clock", "and", "both", "games", "mandatory", "water", "breaks", "." ]
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1172207842163679234
2019-09-12
[ "I", "get", "that", "Orange", "man", "is", "bad", ".", "Still", "waiting", "for", "the", "{@Democratic Party@}", "to", "actually", "address", "what", "the", "problems", "are", "and", "actual", "solutions", ".", "I", "donated", "to", "{@Andrew Yang🧢⬆️🇺🇸@}", "but", "as", "of", "now", "you", "guys", "wo", "n’t", "even", "get", "my", "vote", ".", "#", "Freethebear" ]
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1264797242503749632
2020-05-25
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1177008594077642753
2019-09-25
[ "OKAY", "BUT", "I", "GOT", "SO", "EXCITED", "OVER", "WATERMELON", "SUGAR", "I", "FULL", "ON", "CRIED", "{@Harry Styles.@}" ]
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1195943698103705601
2019-11-17
[ "{{URL}}", "{@Archive: Governor Andrew Cuomo@}", ".", "You", "'re", "all", "about", "the", "science", "and", "data", ".", "Here", "is", "some", "scientific", "data", "for", "you", ".", "Can", "we", "all", "breathe", "freely", "now", "???", "?" ]
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1284698428908412928
2020-07-19
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1177251338377469955
2019-09-26
[ "Pau", "Gasol", "Continues", "Honouring", "His", "Friendship", "with", "Kobe", "Bryant", "By", "Looking", "After", "Vanessa", "Bryant", "and", "Family", "Post", "His", "Death", "{{URL}}", "via", "{{USERNAME}}" ]
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1256583309427171329
2020-05-02
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2020-07-26
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2020-05-10
[ "Morning", "Coffee", "–", "Espresso", "about", "Security", "Lock", "Your", "Mobile", "Devices", "(", "May", "12", ",", "2020", ")", "#", "protect", "{{USERNAME}}", "The", "number", "one", "step", "for", "protecting", "your", "mobile", "device", "is", "making", "sure", "it", "has", "a", "strong", "passcode", "or", "password", "lock", "on", "it", "so", "only", "you", "can", "access", "it", ".", "To", "…", "{{URL}}" ]
[ 14, 14, 14, 5, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 6, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1260054671848325125
2020-05-12
[ "\"", "The", "Sharp", "600", "\"", "podcast", ",", "ep", ".", "236", "{{USERNAME}}", "gives", "his", "thoughts", "on", "the", "XFL", "and", "the", "league", "'s", "betting", "potential", "&", "welcomes", "Rohit", "Ponnaiya", "(", "{{USERNAME}}", ")", "to", "break", "down", "the", "best", "bets", "for", "the", "rest", "of", "the", "NBA", "season", ".", "Subscribe", ",", "Rate", ",", "&", "Review", "!", "Listen", "here", ":", "{{URL}}" ]
[ 14, 1, 8, 8, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 2, 14, 14, 14, 14, 14, 14, 14, 14, 5, 12, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 0, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1227344808798191616
2020-02-11
[ "Shining", "through", "the", "city", "with", "a", "little", "funk", "and", "soul", "#", "BTS", "_", "Dynamite", "#", "BTS", "{@BTS_twt@}", "{{URL}}" ]
[ 14, 14, 14, 4, 14, 14, 14, 14, 14, 14, 14, 3, 14, 6, 14, 3, 3, 14 ]
1297436631788642305
2020-08-23
[ "sure", "frustrating", "when", "the", "{@Subway®@}", "stores", "in", "St", "joseph", ",", "MO", "do", "n’t", "seem", "to", "be", "working", "with", "the", "app", "but", "tell", "you", "to", "use", "the", "app", "to", "get", "deals", "but", "it", "does", "n’t", "work", ".", "so", "i", "have", "to", "go", "through", "a", "web", "browser", "spending", "another", "10", "minutes", "to", "try", "to", "make", "an", "order", "?", "this", "is", "not", "efficient", "." ]
[ 14, 14, 14, 14, 0, 14, 14, 4, 11, 11, 11, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1282397837297438720
2020-07-12
[ "I", "think", "they", "(", "{@Bengaluru FC@}", ")", "were", "n’t", "that", "interested", "in", "playing", "an", "open", "game", ".", "Personally", "I", "do", "n’t", "understand", "why", ":", "Antonio", "Habas", ".", "#", "IndianFootball", "#", "HeroISL", "#", "BFCATK", "Read", "the", "full", "post-match", "press", "conference", "by", "the", "{{USERNAME}}", "head", "coach", ".", "{{URL}}" ]
[ 5, 14, 14, 14, 3, 14, 14, 14, 14, 14, 14, 14, 14, 2, 9, 14, 14, 5, 14, 14, 14, 14, 14, 5, 12, 14, 14, 14, 14, 3, 14, 3, 14, 14, 14, 2, 9, 9, 14, 14, 14, 5, 12, 14, 14 ]
1234174705449332736
2020-03-01
[ "Round", "5", "goes", "to", "Max", "Holloway", "with", "10-9", "vs", "Alexander", "Volkanovski", ".", "#", "AndNew", "UFC", "Feathweight", "Champion", "Alexander", "the", "Great", "Volkanovski", "with", "49-46", "on", "UFC", "245", "#", "UFC245", "#", "UFC", "{@danawhite@}", "{@Joe Rogan@}", "{@Daniel Cormier@}", "{@Jon Anik@}", "{@Chael Sonnen@}" ]
[ 2, 9, 14, 14, 5, 12, 14, 14, 14, 5, 12, 14, 14, 14, 0, 14, 14, 5, 12, 12, 12, 14, 14, 14, 0, 7, 14, 0, 14, 0, 5, 5, 5, 5, 5 ]
1206090909949054976
2019-12-15
[ "UFC", "245", "Post-Fight", "Matchmaking", ":", "Brandon", "Moreno", "(", "{{USERNAME}}", ")", "vs", "Jussier", "Formiga", "(", "{@JussierFormigaUFC@}", ")" ]
[ 1, 8, 8, 8, 14, 5, 12, 14, 14, 14, 14, 5, 12, 14, 5, 14 ]
1206087527381254144
2019-12-15
[ "Serenity", "Now", "!", "serenity", "Now", "!", "Thank", "you", "{{USERNAME}}", "thank", "you", "Jerry", "for", "years", "of", "laughs", ".", "TBS", "pays", "tribute", "to", "SU", "alum", "Jerry", "Stiller", "with", "‘", "Seinfeld’", "marathon", "{{URL}}" ]
[ 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14, 14, 14, 14, 0, 14, 14, 14, 3, 14, 5, 12, 14, 14, 1, 14, 14 ]
1261897791409774593
2020-05-17
[ "Mayor", "Jacob", "Frey", ":", "Justice", "for", "George", "Floyd", "-", "Sign", "the", "Petition", "!", "{{URL}}", "via", "{@ColorOfChange@}", "This", "is", "just", "so", "wrong", "we", "need", "to", "change", "our", "world", "for", "the", "better", "!", "!" ]
[ 5, 12, 12, 14, 14, 14, 5, 12, 14, 14, 14, 14, 14, 14, 14, 3, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1265823092053606400
2020-05-28
[ "Congrats", "{@Aston Villa@}", "Zimbabweans", "are", "happy", "for", "your", "Survival", ",", "Keep", "fighting", "and", "stay", "in", "the", "Premier", "League", ",", ",", ",", ",", "You", "have", "more", "fans", "here", ".", "All", "the", "best", "next", "season", ".", "Just", "a", "reminder", "you", "are", "currently", "number", "2", "on", "the", "log", "." ]
[ 14, 3, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 2, 9, 14, 14, 14, 14, 14, 14, 14, 3, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1287476718333304832
2020-07-26
[ "The", "same", "people", "crying", "about", "{@KING 810@}", "’s", "back", "drop", "are", "the", "same", "people", "who", "ca", "n’t", "stand", "you", "having", "an", "opinion", "outside", "of", "theirs", "on", "the", "internet", "." ]
[ 14, 14, 14, 14, 14, 3, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1228950041735389185
2020-02-16
[ "There", "is", "no", "such", "a", "thing", "as", "single", "Tyrant", "that", "can", "save", "the", "world", ",", "the", "only", "way", "to", "convince", "so", "many", "people", "to", "change", "their", "habits", "is", "build", "and", "promote", "a", "culture", "of", "sustainable", "behaviour", "CC", "{@Greta Thunberg@}", "#", "climatestrike", "#", "fridaysforfuture", "#", "GretaThunberg", "{{URL}}" ]
[ 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14, 14, 14, 14, 5, 14 ]
1185857407169245184
2019-10-20
[ "Biggest", "fake", "news", "peddlers", "who", "are", "working", "on", "YSRCP", "pay", "roll", "{{USERNAME}}", "and", "his", "channel", "{{USERNAME}}", "and", "{{USERNAME}}" ]
[ 14, 3, 10, 10, 14, 14, 14, 14, 0, 14, 14, 14, 14, 14, 14, 14, 14, 14 ]
1229006870846660609
2020-02-16
[ "#", "NowPlaying", "\"", "Sweet", "Love", "\"", "by", "Chris", "Brown", "on", "{@TIDAL@}", "{{URL}}" ]
[ 14, 14, 14, 1, 8, 14, 14, 5, 12, 14, 6, 14 ]
1259358728337358849
2020-05-10
[ "BJP", "'s", "attempt", "to", "destroy", "the", "mandate", "of", "the", "People", "is", "unfortunate", ",", "since", "2014", "it", "has", "been", "witnessed", "that", "whenever", "BJP", "lose", "elections", "they", "use", "backdoor", "entry", "to", "grab", "the", "power", "{@Rahul Gandhi@}", "#", "SpeakUpForDemocracy" ]
[ 3, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 0, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14 ]
1287326260155146240
2020-07-26
[ "Why", "would", "I", "join", "the", "Stand", "Behind", "the", "President", "trend", "when", "our", "President", "once", "again", "SCREWED", "over", "people", "with", "Disabilities", "?", "Adult", "dependents", "who", "receive", "disability", "payments", "get", "NOTHING", "from", "the", "stimulus", ".", "Not", "$", "500", ",", "not", "$", "1200", "!", "NOTHING", "!", "People", "with", "disabilities", "VOTE", ".", "{@Jennifer 'pro-voting' Rubin@}" ]
[ 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14, 14, 5, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5 ]
1254439180890976258
2020-04-26
[ "Star-Delta", "Starter", "Power", "Diagram", ".", "You", "can", "share", "and", "save", "this", "diagram", "with", "your", "friends", ".", "Join", "our", "family", "{{USERNAME}}", "#", "learneee", "Visit", "our", "website", "for", "amazing", "content", "{{URL}}", "Youtube", "{{URL}}" ]
[ 2, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 0, 14 ]
1252468051494285312
2020-04-21
[ "Prayed", "with", "{@Tyrann Mathieu@}", "this", "morning", "-", "I", "felt", "led", "to", "ask", "for", "God", "’s", "peace", "for", "my", "friend", ".", "Had", "no", "idea", "the", "storm", "you", "’d", "be", "entering", ".", "But", "God", "knew", ".", "God", "knew", ".", "Well", "done", "my", "guy", "!", "!" ]
[ 14, 14, 5, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 5, 14, 14, 5, 14, 14, 14, 14, 14, 14, 14, 14 ]
1216508650413387776
2020-01-12

Dataset Card for "tner/tweetner7"

Dataset Summary

This is the official repository of TweetNER7 ("Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts, AACL main conference 2022"), an NER dataset on Twitter with 7 entity labels. Each instance of TweetNER7 comes with a timestamp which distributes from September 2019 to August 2021. The tweet collection used in TweetNER7 is same as what used in TweetTopic. The dataset is integrated in TweetNLP too.

  • Entity Types: corperation, creative_work, event, group, location, product, person

Preprocessing

We pre-process tweets before the annotation to normalize some artifacts, converting URLs into a special token {{URL}} and non-verified usernames into {{USERNAME}}. For verified usernames, we replace its display name (or account name) with symbols {@}. For example, a tweet

Get the all-analog Classic Vinyl Edition
of "Takin' Off" Album from @herbiehancock
via @bluenoterecords link below: 
http://bluenote.lnk.to/AlbumOfTheWeek

is transformed into the following text.

Get the all-analog Classic Vinyl Edition
of "Takin' Off" Album from {@herbiehancock@}
via {@bluenoterecords@} link below: {{URL}}

A simple function to format tweet follows below.

import re
from urlextract import URLExtract
extractor = URLExtract()

def format_tweet(tweet):
    # mask web urls
    urls = extractor.find_urls(tweet)
    for url in urls:
        tweet = tweet.replace(url, "{{URL}}")
    # format twitter account
    tweet = re.sub(r"\b(\s*)(@[\S]+)\b", r'\1{\2@}', tweet)
    return tweet

target = """Get the all-analog Classic Vinyl Edition of "Takin' Off" Album from @herbiehancock via @bluenoterecords link below: http://bluenote.lnk.to/AlbumOfTheWeek"""
target_format = format_tweet(target)
print(target_format)
'Get the all-analog Classic Vinyl Edition of "Takin\' Off" Album from {@herbiehancock@} via {@bluenoterecords@} link below: {{URL}}'

We ask annotators to ignore those special tokens but label the verified users' mentions.

Data Split

split number of instances description
train_2020 4616 training dataset from September 2019 to August 2020
train_2021 2495 training dataset from September 2020 to August 2021
train_all 7111 combined training dataset of train_2020 and train_2021
validation_2020 576 validation dataset from September 2019 to August 2020
validation_2021 310 validation dataset from September 2020 to August 2021
test_2020 576 test dataset from September 2019 to August 2020
test_2021 2807 test dataset from September 2020 to August 2021
train_random 4616 randomly sampled training dataset with the same size as train_2020 from train_all
validation_random 576 randomly sampled training dataset with the same size as validation_2020 from validation_all
extra_2020 87880 extra tweet without annotations from September 2019 to August 2020
extra_2021 93594 extra tweet without annotations from September 2020 to August 2021

For the temporal-shift setting, model should be trained on train_2020 with validation_2020 and evaluate on test_2021. In general, model would be trained on train_all, the most representative training set with validation_2021 and evaluate on test_2021.

Dataset Structure

Data Instances

An example of train looks as follows.

{
    'tokens': ['Morning', '5km', 'run', 'with', '{{USERNAME}}', 'for', 'breast', 'cancer', 'awareness', '#', 'pinkoctober', '#', 'breastcancerawareness', '#', 'zalorafit', '#', 'zalorafitxbnwrc', '@', 'The', 'Central', 'Park', ',', 'Desa', 'Parkcity', '{{URL}}'],
    'tags': [14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 2, 14, 2, 14, 14, 14, 14, 14, 14, 4, 11, 11, 11, 11, 14],
    'id': '1183344337016381440',
    'date': '2019-10-13'
}

Label ID

The label2id dictionary can be found at here.

{
    "B-corporation": 0,
    "B-creative_work": 1,
    "B-event": 2,
    "B-group": 3,
    "B-location": 4,
    "B-person": 5,
    "B-product": 6,
    "I-corporation": 7,
    "I-creative_work": 8,
    "I-event": 9,
    "I-group": 10,
    "I-location": 11,
    "I-person": 12,
    "I-product": 13,
    "O": 14
}

Models

See full evaluation metrics here.

Main Models

Model (link) Data Language Model Micro F1 (2021) Macro F1 (2021)
tner/roberta-large-tweetner7-all tweetner7 roberta-large 65.75 61.25
tner/roberta-base-tweetner7-all tweetner7 roberta-base 65.16 60.81
tner/twitter-roberta-base-2019-90m-tweetner7-all tweetner7 cardiffnlp/twitter-roberta-base-2019-90m 65.68 61
tner/twitter-roberta-base-dec2020-tweetner7-all tweetner7 cardiffnlp/twitter-roberta-base-dec2020 65.26 60.7
tner/bertweet-large-tweetner7-all tweetner7 cardiffnlp/twitter-roberta-base-dec2021vinai/bertweet-large 66.46 61.87
tner/bertweet-base-tweetner7-all tweetner7 vinai/bertweet-base 65.36 60.52
tner/bert-large-tweetner7-all tweetner7 bert-large 63.58 59
tner/bert-base-tweetner7-all tweetner7 bert-base 62.3 57.59
tner/roberta-large-tweetner7-continuous tweetner7 roberta-large 66.02 60.9
tner/roberta-base-tweetner7-continuous tweetner7 roberta-base 65.47 60.01
tner/twitter-roberta-base-2019-90m-tweetner7-continuous tweetner7 cardiffnlp/twitter-roberta-base-2019-90m 65.87 61.07
tner/twitter-roberta-base-dec2020-tweetner7-continuous tweetner7 cardiffnlp/twitter-roberta-base-dec2020 65.51 60.57
tner/bertweet-large-tweetner7-continuous tweetner7 cardiffnlp/twitter-roberta-base-dec2021vinai/bertweet-large 66.41 61.66
tner/bertweet-base-tweetner7-continuous tweetner7 vinai/bertweet-base 65.84 61.02
tner/bert-large-tweetner7-continuous tweetner7 bert-large 63.2 57.67
tner/roberta-large-tweetner7-2021 tweetner7 roberta-large 64.05 59.11
tner/roberta-base-tweetner7-2021 tweetner7 roberta-base 61.76 57
tner/twitter-roberta-base-dec2020-tweetner7-2021 tweetner7 cardiffnlp/twitter-roberta-base-dec2020 63.98 58.91
tner/bertweet-large-tweetner7-2021 tweetner7 cardiffnlp/twitter-roberta-base-dec2021vinai/bertweet-large 62.9 58.13
tner/bertweet-base-tweetner7-2021 tweetner7 vinai/bertweet-base 63.09 57.35
tner/bert-large-tweetner7-2021 tweetner7 bert-large 59.75 53.93
tner/bert-base-tweetner7-2021 tweetner7 bert-base 60.67 55.5
tner/roberta-large-tweetner7-2020 tweetner7 roberta-large 64.76 60
tner/roberta-base-tweetner7-2020 tweetner7 roberta-base 64.21 59.11
tner/twitter-roberta-base-2019-90m-tweetner7-2020 tweetner7 cardiffnlp/twitter-roberta-base-2019-90m 64.28 59.31
tner/twitter-roberta-base-dec2020-tweetner7-2020 tweetner7 cardiffnlp/twitter-roberta-base-dec2020 62.87 58.26
tner/bertweet-large-tweetner7-2020 tweetner7 cardiffnlp/twitter-roberta-base-dec2021vinai/bertweet-large 64.01 59.47
tner/bertweet-base-tweetner7-2020 tweetner7 vinai/bertweet-base 64.06 59.44
tner/bert-large-tweetner7-2020 tweetner7 bert-large 61.43 56.14
tner/bert-base-tweetner7-2020 tweetner7 bert-base 60.09 54.67

Model description follows below.

  • Model with suffix -all: Model fine-tuned on train_all and validated on validation_2021.
  • Model with suffix -continuous: Model fine-tuned on train_2021 continuously after fine-tuning on train_2020 and validated on validation_2021.
  • Model with suffix -2021: Model fine-tuned only on train_2021 and validated on validation_2021.
  • Model with suffix -2020: Model fine-tuned only on train_2021 and validated on validation_2020.

Sub Models (used in ablation study)

  • Model fine-tuned only on train_random and validated on validation_2020.
  • Model fine-tuned on the self-labeled dataset on extra_{2020,2021} and validated on validation_2020.

Model description follows below.

  • Model with suffix -self2020: Fine-tuning on the self-annotated data of extra_2020 split of tweetner7.
  • Model with suffix -self2021: Fine-tuning on the self-annotated data of extra_2021 split of tweetner7.
  • Model with suffix -2020-self2020-all: Fine-tuning on the self-annotated data of extra_2020 split of tweetner7. Combined training dataset of extra_2020 and train_2020.
  • Model with suffix -2020-self2021-all: Fine-tuning on the self-annotated data of extra_2021 split of tweetner7. Combined training dataset of extra_2021 and train_2020.
  • Model with suffix -2020-self2020-continuous: Fine-tuning on the self-annotated data of extra_2020 split of tweetner7. Fine-tuning on train_2020 and continuing fine-tuning on extra_2020.
  • Model with suffix -2020-self2021-continuous: Fine-tuning on the self-annotated data of extra_2021 split of tweetner7. Fine-tuning on train_2020 and continuing fine-tuning on extra_2020.

Reproduce Experimental Result

To reproduce the experimental result on our AACL paper, please see the repository https://github.com/asahi417/tner/tree/master/examples/tweetner7_paper.

Citation Information

@inproceedings{ushio-etal-2022-tweet,
    title = "{N}amed {E}ntity {R}ecognition in {T}witter: {A} {D}ataset and {A}nalysis on {S}hort-{T}erm {T}emporal {S}hifts",
    author = "Ushio, Asahi  and
        Neves, Leonardo  and
        Silva, Vitor  and
        Barbieri, Francesco. and
        Camacho-Collados, Jose",
    booktitle = "The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing",
    month = nov,
    year = "2022",
    address = "Online",
    publisher = "Association for Computational Linguistics",
}
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