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task905_hate_speech_offensive_classification
task905-4be8cd8f914b4f89a4d93235b6ce952f
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: !!!!!!"@__BrighterDays: I can not just sit up and HATE on another bitch .. I got too much shit going on!" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-efeb80c97aac4e0ca3c06c81aef9d8c5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: !!!!“@selfiequeenbri: cause I'm tired of you big bitches coming for us skinny girls!!” Label: Offensive
true
task905_hate_speech_offensive_classification
task905-22cd9b974a6a4601b695d3a06f0eadd3
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " & you might not get ya bitch back & thats that " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a1a4f26051e74c07ada7472f4726c6b8
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " @rhythmixx_ :hobbies include: fighting Mariam" bitch Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b9f33b921cb04e7992aa57d41c1c7cda
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " Keeks is a bitch she curves everyone " lol I walked into a conversation like this. Smh Label: Offensive
true
task905_hate_speech_offensive_classification
task905-4b9fddaa13ff4ec680016a8f8be082d3
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " Murda Gang bitch its Gang Land " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-ad677bb760ec46bda19fd31e000bcc70
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " So hoes that smoke are losers ? " yea ... go on IG Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a0cb65299c2b4996adce0341fd9753b5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " bad bitches is the only thing that i like " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-8cc7cbaa025a489c80872c82dece2947
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " bitch get up off me " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-099c712d7abd4c2c9cf170e6285bb6ee
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " bitch plz whatever " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-e6bf013e591e4240ae401cee31c41678
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " bitch who do you love " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-03b56755ba804222961d155eb56da2f2
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " bitches get cut off everyday B " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-f039b9b61ebd49b7947b6aa822335335
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " black bottle & a bad bitch " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-efdd78835a4c41c7a288ba450b8cf572
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " broke bitch cant tell me nothing " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b1ba208379e249499c0121a5ad168c90
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " cancel that bitch like Nino " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-179f3631075448ecb6cc6b8e15f2fc30
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " cant you see these hoes wont change " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-705925567c7f437593cb88cbe8cc8811
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " got ya bitch tip toeing on my hardwood floors " 😂 http://t.co/cOU2WQ5L4q Label: Offensive
true
task905_hate_speech_offensive_classification
task905-7af290b675f74266be34b8c2df2ea5dd
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " her pussy lips like Heaven doors " 😌 Label: Offensive
true
task905_hate_speech_offensive_classification
task905-33c5e74a02eb450f87a1ddf641c19853
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " hoe what its hitting for " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a855c9b8e9ab480d9d31554e66551231
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " i met that pussy on Ocean Dr . i gave that pussy a pill " 😌 Label: Offensive
true
task905_hate_speech_offensive_classification
task905-caff1460832346f787997fbf4432e1b7
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " i need a trippy bitch who fuck on Hennessy " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-3aa446323e47406098ff48aeb79e99a3
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " i spend my money how i want bitch its my business " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b50241e5167c41fba06cd8314c5be50f
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " i txt my old bitch my new bitch pussy wetter " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-026ea87a45f1401a9c5c4d72959e1821
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " i'd say im back to the old me but my old bitches would get excited " 😌 Label: Offensive
true
task905_hate_speech_offensive_classification
task905-6b6495dbbb1b4f57844caecd980d23b8
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " if you aint bout that Murder Game pussy nigga shut up " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-85f870277e864851be5f32a5f140ae2e
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " if you're toes ain't done you pussy stinks " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-65a315f5f31242258318481b1e2b5e36
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " im done with bitter bitches its a wrap for that . if you a angry bird theres a app for that " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-dc9c61ee0c13497481c2b16eb8718d1f
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " is that ya bitch " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-d1f43e9bc5d64530a11477d1db5d7f17
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " it aint nothing to cut a bitch off " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-67df299d14bb49678e74dd31f24403b5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " jus meet son now he ya mane ass bitches " #Shots Label: Offensive
true
task905_hate_speech_offensive_classification
task905-ebe998e8aa6f46778f7ac6e45f911e68
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " lames crying over hoes thats tears of a clown " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-422943c2ac96432991d676a57a48de8c
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " like Snoop said in 94 we dont love these hoes " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a094799f615e4ad285db84591d64c59a
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " most hated but the hoes favorite " #2MW #SevenOne # http://t.co/BMdSVMc3rC Label: Offensive
true
task905_hate_speech_offensive_classification
task905-aa9cb981c8b7458c8a459d26e7de06b8
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " nice girls bad, make me get naughty. Bad yello hoe, real nice body. Down south chick, like em real thick" http://t.co/bzRDl3kF7U Label: Offensive
true
task905_hate_speech_offensive_classification
task905-4d6709f392a146c3b64d6f5e78a84ef0
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " pimps up pimps up hoes down " Future voice Label: Offensive
true
task905_hate_speech_offensive_classification
task905-4cbd285a11574af98c581e4a60dbba40
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " post a picture of that pussy get 200 likes " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-17a8a4969f35457ab946074c4c51cb94
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " pussy is a powerful drug " 😅 #HappyHumpDay http://t.co/R8jsymiB5b Label: Offensive
true
task905_hate_speech_offensive_classification
task905-9e01e9f4f40c4a139d7b61a863fb7216
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " quick piece of pussy call it a drive by " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-552cb16cad174bbc90e72ad7ec6f29c9
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " running round here like some brand new pussy thats bout to get fucked " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-ef37e7f722ea466899a3503d0def2810
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " these bitches even worst they'll send them guys for you " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-8928327489cc4d1ea8dc2fbe6a4f60a5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " these hoes like niggas that spend money not talk bout it " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b5175b8891104414a506f3de184f4ea2
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " we dont trust these niggas all these bitches " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b3ab04159aa0427a91c460d4501aa5a5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " yall niggas b cuffing hoes cause yall aint never have bitches " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-ce00597465a743f38ecfbf15a0e27628
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " you dodge a bullet " 😅 “@DaRealKha: "All da bitches I cut off pregnant or bound to be ....thank God 🙏"” Label: Offensive
true
task905_hate_speech_offensive_classification
task905-aa651a7b43ec4653873540bd98aebe85
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: " young Pill Chamberlain these bitches love my music " Label: Offensive
true
task905_hate_speech_offensive_classification
task905-4538f7acba7340c6bb45e45c509f7f63
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "😂😂😂😂😂😂😂😂😂😂😂@VandalSavage_: Teanna Trump probably cleaner than most of these twitter hoes but........." Label: Offensive
true
task905_hate_speech_offensive_classification
task905-7cf3792df9e746e2b17bcffce565c808
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "😂😂😂😂😂😂😂😂😂😂@DaHomieFuzz: Gay niggas couldn't wait to act like bitches tonight" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-da8123c879e54697826bc6e05ea167be
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "😂😂😂@The_Paradox: And ima steal his cat n replace it with a pitbull 😂😂😂😂 RT @80sbaby4life: @The_Paradox He a bitch you should do it" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-04e74332fc2745a7845497dae9bf543d
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "& he's gone always be a hoe" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-2a5bfc8becda4a89a8d185f858149482
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "...Son of a bitch took my Tic Tacs." I like this movie. Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a3b58f4e9c4d44cd8c5a8a0f056bd182
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "..All I wanna do is get money and fuck model bitches!" - Russell Simmons Label: Offensive
true
task905_hate_speech_offensive_classification
task905-40901f4df0cc42aa9956abdebba3e634
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@2015seniorprobs: I probably wouldn’t mind school as much if we didn’t have to deal with bitch ass teachers". Retweet Label: Offensive
true
task905_hate_speech_offensive_classification
task905-d21f13c26f4c4d9d91418254e7352cdf
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@A7XDemery: I'm a fucking fag they said" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-fe0026af8d354c69ba3056f4106efd72
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy? Label: Offensive
true
task905_hate_speech_offensive_classification
task905-8e09a79046364783b7fe823b88457d1a
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@AdoreBellaaa: Have ya ever asked your bitch for other bitches - kanye voice" Yes Label: Offensive
true
task905_hate_speech_offensive_classification
task905-58bcb898bbea4f99ae5295804eb65dab
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@AdoreZoey: How u gone bring ur side bitch to a game where You know Ya gf friends at ?! 😩😩😩😩" I SWEAR!!!!! Label: Offensive
true
task905_hate_speech_offensive_classification
task905-8b7c1497a5ca45e7a009a5cafc890ef4
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Almightywayne__: @JetsAndASwisher @Gook____ bitch fuck u http://t.co/pXmGA68NC1" maybe you'll get better. Just http://t.co/TPreVwfq0S Label: Offensive
true
task905_hate_speech_offensive_classification
task905-f397456038164d5ab4fdc39c2f136f55
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Almightywayne__: Fuck Red Malone man bitch ass niggah" could you please use complete sentences? Label: Offensive
true
task905_hate_speech_offensive_classification
task905-4db837e6400146e1961fc529bf11f380
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@AutoWorId: Hennessey Venom GT 🙈 http://t.co/i8eGMnKaJ9" that's one sexy bitch Label: Offensive
true
task905_hate_speech_offensive_classification
task905-ecd7084658ba4e679fe8b8804e2f19fa
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BOSSBYTCHH: Him seh me pussy wetter then a shower curtain....#ahmesehwetness"<lmao!! Label: Offensive
true
task905_hate_speech_offensive_classification
task905-91a24bbd819542dcbe678025094876ef
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BRO_HEN314: #Eaglesnation and every #Eagles need to see that pic I just posted because that bitch just said the most racist shit" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-831fc8b0c85446c4bcdf9ee9ee82db57
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BVSEDCHINK: Yo fuck skateboarding, all y'all some wood pushing faggots man, ball is life http://t.co/VBCzP6HMT7" @AmJemieBenn Label: Offensive
true
task905_hate_speech_offensive_classification
task905-a46d10e56a634d8f896d607cf0561892
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BaylaaGottaBody: 😂😂😂😂 I ain't shit ." Damn Skippy lol Label: Offensive
true
task905_hate_speech_offensive_classification
task905-32e8adcb110e445d94f409855162a1e9
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BeEasyJrizzy: u ever kill a ant on the sidewalk and think damn what if that nigga was on his way to get some pussy"No bs must b >30%chance Label: Offensive
true
task905_hate_speech_offensive_classification
task905-444f63ce87dd4701881a9bf4395b2db9
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BeenBasedB: @_KudaBrazyy http://t.co/LuUBGL9Y5u" 0 rings 0 mvps 0 bitches lol Label: Offensive
true
task905_hate_speech_offensive_classification
task905-7a3bde0fc0c74118a44988f1d6914586
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BeenFLYnSolo: ppl talk bad about the ghetto/hood ... but as a kid growing up, a nigga had funnnnnnn !" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b65fec4c3dbc4e20830f7bba9e3299ab
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BestProAdvice: The facts on tattoos...tattoo http://t.co/ZwnbhpDZ8e" he's a pussy with not tattooing them nipples Label: Offensive
true
task905_hate_speech_offensive_classification
task905-241d2a50ea2448b6a8134cec94ada49c
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Bill215_: 💯💯💯 RT @nel_ayden Bitches be wanting to act like niggas so bad 😩😩😩 that shit aint cuteeeee" but niggas act like bitches.. Label: Offensive
true
task905_hate_speech_offensive_classification
task905-c50d754b6aeb4c29a1ed6a74c5e990c7
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BitchJones92: Get worshiping bitch! http://t.co/R37CejCjou" woof woof Label: Offensive
true
task905_hate_speech_offensive_classification
task905-1ef44bde6ee249b88161cbc686d0fa3c
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BlackChiquitita: Wow. RT @thatmanpalmer I'm lost. Are those buttcheek piercings? http://t.co/yn6guyOUQ6" yeah she's a hoe Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b3facea9deaa4c2689f8ba39363e6367
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BlackNerdJade: Ok, sis." She'd rather be a broke bitch? *shrugs* she'll have to tell me how it works for her Label: Offensive
true
task905_hate_speech_offensive_classification
task905-edbc3e986c3d4af9bcd44c41cc341743
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BrokenPiecesmsc: @ItsNotAdam faggot read my tweets after dat k" it wasn't even funny lol Label: Offensive
true
task905_hate_speech_offensive_classification
task905-3fb025e9a3524657817b1785a5aa892b
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@BrosConfessions: This bitch was so ungrateful http://t.co/06e77bGwbx" fr ..... LULWHORE Label: Offensive
true
task905_hate_speech_offensive_classification
task905-2a8402c10efe4a31a3f12d5d1021b373
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CASHandBOOBIES: I been kidnapped yo bitch" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-f44d5601d45045cd9be6d6efd9b2a335
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CCobey: @AydanMcCoy happy birthday nigs" Thanks yo Label: Offensive
true
task905_hate_speech_offensive_classification
task905-b7cfb745d2dc40e78e8ea3f5f5b4b9af
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CHlLDHOODRUINER: when ur teacher tells u that u have homework https://t.co/RKk5vawIj1" this bitch need to go!!! Label: Offensive
true
task905_hate_speech_offensive_classification
task905-8e5d73c0224244d8b35d9f567901298b
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CaelanG15: "@22EdHam: @CaelanG15 that nigga was eating that hoe lol" Hell Yea lol john Paul" nigga said john paul.. http://t.co/OSIpBKPr9h Label: Offensive
true
task905_hate_speech_offensive_classification
task905-6ffbe825e53f4f5695d7909ed6aa746d
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CanIFuckOrNah: What would y'all lil ugly bald headed bitches do if they stop making make-up & weave?" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-03b96539783647d984b92ffda03ad18f
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CarelessOne92: Leafs better win this damn game so I can go riot and shit #EarlyChristmas" you better start looting my nig Label: Offensive
true
task905_hate_speech_offensive_classification
task905-78c2c91157a64a86ad728128de6cdbde
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CauseWereGuys: Going back to school sucks more dick than the hoes who attend it." Label: Offensive
true
task905_hate_speech_offensive_classification
task905-86e7647b8c1046c98d5334474ae1ebf5
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CauseWereGuys: On my way to fuck yo bitch http://t.co/j906T5zE2R" me as a 9 year old Label: Offensive
true
task905_hate_speech_offensive_classification
task905-7a5218bcb0fb405d8ffb15d6e4dfb8b3
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CeleyNichole: @white_thunduh how come you never bring me food" i dont have a car retard Label: Offensive
true
task905_hate_speech_offensive_classification
task905-7d4c0b07bdf04861a651a593bc9c5cc0
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ChadMFVerbeck: If Richnow doesn't show up with hella tinder hoes Im not his friend anymore" chill I brought like like 8 prople Label: Offensive
true
task905_hate_speech_offensive_classification
task905-c59013d5bb5743599cf06f3a83c11ebd
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ChandlerParsons: How bout them Cowboys!!!!" Shutup pussy Label: Offensive
true
task905_hate_speech_offensive_classification
task905-9f805d2f9aec4a2a8f2df5fd08a32bcd
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ClicquotSuave: LMAOOOOOOOOOOO this nigga @Krillz_Nuh_Care http://t.co/AAnpSUjmYI" <bitch want likes for some depressing shit..foh Label: Offensive
true
task905_hate_speech_offensive_classification
task905-003bdcadc894454f93f98f0bcd09ab39
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Coley_Cee: @lil_aerii girl you know I was spitting that G shit to you & you was going lbvs"bitch plz Label: Offensive
true
task905_hate_speech_offensive_classification
task905-2d350149e54f4f6da26868aeca1dfe84
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Coley_Cee: Let me make a couple tweets off cuzzo page, so I won't get in twitter jail."lmao bitch don't trick me again Label: Offensive
true
task905_hate_speech_offensive_classification
task905-5e30e81288024457a79d935e7f5b7023
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ComedyPosts: Harlem shake is just an excuse to go full retard for 30 seconds." Label: Offensive
true
task905_hate_speech_offensive_classification
task905-cf404a963eb944dfb327dac6636b4c20
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@ComedyTruth: amen miley 🙏 http://t.co/P2Kb2tfyxr"okay, but she don't need to act like a hoe just bc she's "emotionally damaged" foh Label: Offensive
true
task905_hate_speech_offensive_classification
task905-12854a6458384705b7511fc8f05819ec
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@CoryBandz: having one loyal female is wayyyyy better than having hoes , idc 💯" Label: Offensive
true
task905_hate_speech_offensive_classification
task905-104bea5c137b4db39ffc33b00076a6b9
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@Crhedrys: Pussy licking pussy.... meow meow #StopWhitePeople2014 🐱 https://t.co/KeegDCjS5K”"""" 😕 Label: Offensive
true
task905_hate_speech_offensive_classification
task905-9e519fda25c94e45a0ae6b690edbb73e
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@DBAB_Holloway: Check out our 12th man. #CowboysNation" even with all those faggot ny fans in the stands Label: Offensive
true
task905_hate_speech_offensive_classification
task905-fa5b2de9f8a34f75bbd144b737c2b707
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@DGotBricks: What happen to them vixen ent bitches" they got ran and threw to the side like a foothill bitch Label: Offensive
true
task905_hate_speech_offensive_classification
task905-00318488890c4fd388d21dd25836665a
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@DaeDaviDavie: @white_thunduh im the bitch okay nudes pat 😪😏🐸" wow Label: Offensive
true
task905_hate_speech_offensive_classification
task905-d6ad9a25c88f424cb79c0c9438adc519
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "@DiamondLoudKush: The fuck be wrong with these bitches?" Nobody knows Label: Offensive
true
task906_dialogre_identify_names
task906-00ad3ad90a164ca782816600c43b86e7
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: What 'cha doing Mon? Speaker 2: I'm making a list of all the things that are most likely to go wrong at the wedding. Now, that way I can be prepared. Speaker 3: What are they? Speaker 2: Well, so far I have uh, my bride's maids dresses won't get picked up, my veil gets lost, or I don't have my something b...
Mon
task906_dialogre_identify_names
task906-ee45b144f1ea4b0ba2544fefcb21b761
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: Hi everyone. Speaker 2: And officiating at tonight's blackout, is Rabbi Tribbiani. Speaker 1: Well, Chandler's old roommate was Jewish, and these are the only candles we have, so... Happy Chanukah, everyone. Speaker 3: Eww, look. Ugly Naked Guy lit a bunch of candles. Speaker 4: That had to hurt! What is...
Rabbi Tribbiani
task906_dialogre_identify_names
task906-2089309dce684d2eadc8408aa7223cda
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: Here you go Pheebs. Who else wants one of my special homemade brownies? Speaker 2: I will have one. Speaker 2: Okay, I'm not gonna have one. Speaker 3: Neither will I. Speaker 4: No, no, it's just my tooth. Speaker 2: All right I'll have one. Speaker 3: So what's a matter, you need a dentist? I've got ...
Pheebs
task906_dialogre_identify_names
task906-fb1e128521a74240a090fe5a4fa610aa
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: "Ooo," what? Speaker 2: Uma Thurman. Speaker 3: Oh! Speaker 4: The actress! Speaker 4: Thanks Rach. Speaker 5: So what are you gonna do? Speaker 4: You have to tell her! You have to tell her! It's your moral obligation, as a friend, as a woman, I think it's a feminist issue! Guys? Guys? Speaker 5: Oh,...
Rach
task906_dialogre_identify_names
task906-4177012fb3c2442da07bc4dd97c4c1d6
You are given a dialog between 2 or more individuals. Within the dialog, there will be clues as to the names of the speakers. You will be asked at the end of the dialog to identify the name of one of the speakers.
Speaker 1: Hey Joey, hi! I'm Ray; I'm the producer of the show. Speaker 2: It's a pleasure to meet you Ray. Speaker 3: And this is Duncan and Erin, they're gonna help us out with the audition. So uh, let's get the camera rolling. Speaker 2: Rightie-O Ray! Speaker 3: Whenever you're ready. Speaker 2: Hello, I'm Joe...
Joey Tribbiani