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Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Fucking gook
Label: Neither
Output:
| [
"false"
] | task905-70e297ff38b04e758375d045c9a687a0 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Ann_E_Lizabeth: I can't stop being a lil bitch”
Label: Offensive
Output:
| [
"true"
] | task905-c86cb1c117e84b7d9fe4c6df3b2560ca |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Man talk to em RT @StraightCash08: Of course nothing is wrong with applebee’s if you like trash food.
Label: Offensive
Output:
| [
"false"
] | task905-eae4f92b4053426e8bbce71b549cd9c9 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Bigots demand recount in #Idaho #gay rights ordinance referendum http://t.co/TorYEXxMwi #tcot #teaparty #teabaggers #lgbt
Label: Offensive
Output:
| [
"false"
] | task905-696d87beadb34c60ba895d2bfd4ce0f0 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@souljaboy: @kmichelle ur pussy smell like dumpster juice 💩” wow 😑
Label: Hate Speech
Output:
| [
"false"
] | task905-6ebde927097948d492415144113ad5de |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Mine plays DMX and kirk Franklin smh @_justcallmeBRIT: Well my neighbors are ghetto . They get up at like 5am and beat their kids."
Label: Neither
Output:
| [
"true"
] | task905-e3791f127b424eb29e7fbd9e11963199 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Game 126 Preview: Houston #Astros at New York #Yankees http://t.co/sVg7dIIcZG
Label: Offensive
Output:
| [
"false"
] | task905-1e4d227b285b4551ab6ccb504112e6c2 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: He's a pretty damn good actor. But as a gay man it's awesome to see an openly queer actor given the lead role for a major superhero film.
Label: Hate Speech
Output:
| [
"false"
] | task905-0e4cc5cc1c9b44809bcd315414ec28f4 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@DIYcookery: Oreo cookies😋 http://t.co/8zcjWW56Zz”bruh 😍😛😩
Label: Neither
Output:
| [
"true"
] | task905-640849881e3a4757b1ab357559b8dc9b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Babe | ebony babe pussy http://t.co/3MxBXeZqxR
Label: Offensive
Output:
| [
"true"
] | task905-f00f48587b604617bc3aa851f8617b5b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @saramariewelch: Been my main nigguh since digital camera selfies @thorpe_emily http://t.co/XiQiRbQ7mP
Label: Neither
Output:
| [
"false"
] | task905-44786545b7d6429a8b60f42c23fd7945 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @McwilliamsBrett shut your legs hoe
Label: Hate Speech
Output:
| [
"true"
] | task905-0cba1d45ff554be5bd906630b9345fdb |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@matt_chu22: @wagggggie @RyanRiehle 😂 I'm not close to being your dude, master chan” that's right bitch, bow down to your master 🙏
Label: Neither
Output:
| [
"false"
] | task905-b478f5435a074f8ebffe1c3a2e4a2ebf |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @1TRIKOfficial: @ItsNotAdam No prob! Def a good early set energy tool! If you want to tune in, http://t.co/hxfJWy3Jab in less than an ho…
Label: Offensive
Output:
| [
"false"
] | task905-4cad8bd88e2b40f5ba8e4341e92c69bd |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Cussed out by a fat redneck on the last day YOLO @ShawnnaSanford @MeganMonday13 @kelsss_lynn 😂😂
Label: Hate Speech
Output:
| [
"true"
] | task905-1dec67e4eb0f43d59cd5eb033998d0cb |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Adogg_34 RT @jb_barker10: Snapchat got hacked, all of you hoes about to have some explaining to do http://t.co/tworXRoJEI
Label: Neither
Output:
| [
"false"
] | task905-3aedd7b91af149be88e717be4b216c4d |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "It takes a true directioner to accept Larry" You know what bitch its fans like you that make the boys cry. #ThankYouPaulForConfirmingLarry
Label: Offensive
Output:
| [
"true"
] | task905-7d00eb1838fa4988b1ac7e7c70bd436f |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @NotoriousBM95 @gezus__ @Rodriguez5_ your getting blocked faggot
Label: Hate Speech
Output:
| [
"true"
] | task905-633b4db468fb4bd08eabd0a331bf1086 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@BitchJones92: Get worshiping bitch! http://t.co/R37CejCjou" woof woof
Label: Offensive
Output:
| [
"true"
] | task905-c50d754b6aeb4c29a1ed6a74c5e990c7 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @juniorshabidoo also Nack which autocorrect changed so I'm putting my phone in the trash and going to sleep
Label: Neither
Output:
| [
"true"
] | task905-29be1ff118bf4bdb986a3698021dedc5 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #Anal | Hardcore british queer anal pounding http://t.co/lRuEixMy21
Label: Offensive
Output:
| [
"true"
] | task905-6e79de5199564bf5865e4da0d17e7f9e |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 85 species of birds reported in Chesterfield for the Great Backyard Bird Count. How many in your area? http://t.co/VIWMjjJxOT
Label: Neither
Output:
| [
"true"
] | task905-6b72d08b6c894bdebef974e18ee09bed |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@AyyyeThatsChubb: I wish i had my dad in my life but the bitch ass nigga still think im not his child!” LMFAOOOO but damn that's sad cuh !
Label: Offensive
Output:
| [
"true"
] | task905-0b13a747e41943aa96766b5aa659fa4a |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @SteveWorks4You pay your taxes teabaggers
Label: Neither
Output:
| [
"true"
] | task905-796f5c2845af41d8905988beb9ab7720 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Can't tell if Mexico has been impressive or if Brazil has just been trash today
Label: Hate Speech
Output:
| [
"false"
] | task905-f60ad34a0182422e906fde5c281a1d89 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@NiggaImTatted: Niggas want a good girl but still wanna fuck with hoes but that ain't gone work. Gotta pick one”😂😂😂 boy stfu
Label: Offensive
Output:
| [
"true"
] | task905-9b3705d7f8564e3db396853f538806fe |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @kieffer_jason here let me say it more clearly since your retarded ass don't understand
Label: Hate Speech
Output:
| [
"true"
] | task905-faba7cdeed77407bb13cfc5892eb0648 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Operation Ask Redhead Resolve, Charlie Brown. #rejectedpeanutsspecials
Label: Hate Speech
Output:
| [
"false"
] | task905-2d1c55a3618c4aa69c0ed6bac0dba707 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AnthonyCumia
You be totally correct Anthony. Can’t be livin round dem colored folk. Day be bringin down da hood and dem propery value
Label: Hate Speech
Output:
| [
"true"
] | task905-71c2115a0723437c8650d2ac6798775b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @Buckm00se: chava needs to stay in his lane and keep sending gyro to hell you dont want it with the big boys you dirt infest ass beaner
Label: Neither
Output:
| [
"false"
] | task905-4fb2d846d9664f649518f74c7156a0bf |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Praise thy lord for this season of beanies that is upon us
Label: Hate Speech
Output:
| [
"false"
] | task905-7acf0417ce8c42cdba5f89ae7d8bc2d1 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ' Someone let me know why Drake so cold ? 󾌡󾍘󾮞󾮗󾭻 He my favorite rapper , this niggah HARD .
Label: Hate Speech
Output:
| [
"false"
] | task905-586680aa7cce4670b515567d4437aec4 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DeliaParedez @rikki_lovee @GabrielaAngela4 @StephyRae7 @TheOneMiss_Luu @Ramona_Pilar I'm coming bitches.
Label: Hate Speech
Output:
| [
"false"
] | task905-fe2ff5dd3182487eb3c0f99e3c367942 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AustinG1135 I do not like talking to you faggot and I did but in a nicely way fag
Label: Hate Speech
Output:
| [
"true"
] | task905-02d38cfeb2a14d0983b69068a7a1a118 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @Tease: RT or you're a fag. http://t.co/4Ol82rdeqX
Label: Neither
Output:
| [
"false"
] | task905-b2e8f6069f4e4de196797091a9e64056 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DerringerEagle ur moms pussy died a slow death so well have good company #virgin
Label: Neither
Output:
| [
"false"
] | task905-48a1c82db83f4c458dd26154eb8d545e |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@TheGamerKingKev: I wonder if the girl that gave head to 24 boys for a drink in magaluf has twitter" she probly sends nudes for fags
Label: Offensive
Output:
| [
"true"
] | task905-c6c2ca2c2f57432e9a254252118efec7 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @jesseleesoffer it totally does. smells like brownies every day i walk to work.
Label: Neither
Output:
| [
"true"
] | task905-5f31b3ca2ba74f2d9d73f67a66873459 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I'm a redneck, but without the homophobia and racism
Label: Hate Speech
Output:
| [
"false"
] | task905-b927368389174aaba4e52a81720a980e |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Lmao @BlackBeauty515: 😂😂 RT @80sbaby4life: Pound cake look like pussy 😂 http://t.co/UFYwCC9xCI"
Label: Offensive
Output:
| [
"true"
] | task905-08f651191ec54b73abf16e60bbfa8d7b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I show do like The Jeffersons. Dat George make me wanna open up a dry cleaning stow and call all da white folk honkey
Label: Hate Speech
Output:
| [
"false"
] | task905-8deba745bbf64d44a8e19769976aa421 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @DamierGenesis: i live for street glory and I die for ghetto fame. respect all, fear none my pride is everything....
Label: Offensive
Output:
| [
"false"
] | task905-5cd1b81fe910431bb5d292c2c4ec0e94 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @_BDOE bro u trash at that zombies
Label: Neither
Output:
| [
"true"
] | task905-b922c8aec9d74f7db13d145469571018 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Cryystalina cuz people at work are bitches they shit talkers and yeah dude I need a girls night out -___-
Label: Neither
Output:
| [
"false"
] | task905-561af97f99494e03aa371b32542613f7 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Early worm gets the bird #Bslfe #GoodMorning http://t.co/dfE8MF2Q28
Label: Hate Speech
Output:
| [
"false"
] | task905-1cea31c1f1034fb4b906eabc345138c5 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @TooRacist: Some black guy at my school asked if there were colored printers in the library.
"It's 2014 man you can use any printer you…
Label: Neither
Output:
| [
"false"
] | task905-2f97d952abdb4a9baa00a60c305393b5 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "I'll slit your throat-neck" http://t.co/ChFFSDeDdd
Label: Neither
Output:
| [
"true"
] | task905-0d0e485f1e414706b8125e3dfff1d4a3 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @kincade00 @mistaturk5 lmaooo just call my phone if you want them birds *Migos Voice*
Label: Neither
Output:
| [
"true"
] | task905-8b8d4e02a456491b92607f38bcd242ea |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@KingDakkar: These hoes out of control https://t.co/hZmf5maYva”LMFAOOO
Label: Offensive
Output:
| [
"true"
] | task905-39ec98e1c0f34f31b3a45dcbbf5947b5 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Can we revisit @ChairmanL's idea of two teams of @Yankees playing against each other? I would like to see a game every now & then.
Label: Hate Speech
Output:
| [
"false"
] | task905-b9920f3e649e468b99bb4739067c3b1e |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "These hoes ain't loyal"
Label: Offensive
Output:
| [
"true"
] | task905-146847032c12463ea7913380c70fc724 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@TheRealRickyB21: @JetsAndASwisher faggot bitch" http://t.co/2HyyAbk4eH
Label: Offensive
Output:
| [
"true"
] | task905-ed29455dd0b44623929fe785e515e3b9 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 💀💀 RT @monique504Q: 😭💀 “@ByeKandace: hop off hoe. RT @KekePalmer: Come on @KSTiLLS!!! 👏👏👏👏👏👏👏”
Label: Offensive
Output:
| [
"true"
] | task905-8c9262a7378646a88d590fd4e21285c4 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 👉RT @Str8_no_Chazer: Bet y'all bitches was deaf to MC Lyte's words about being treated like a queen huh
Label: Offensive
Output:
| [
"true"
] | task905-9b133b04bf4c43d7ad6227984df8f012 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Ari_Tweetz lol na bitches like crazy if the D good 👀
Label: Neither
Output:
| [
"false"
] | task905-3f015b6c594042fb95cbf85bcef898b1 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #CloseUp | Squirting pussy and fingered asshole http://t.co/bKYeoUwWv2
Label: Offensive
Output:
| [
"true"
] | task905-99c0eca5e28544edbe2fe24f0af20c2a |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @MrMooncricket @FuckTheMallcops @AtBlackface @UncleUnco @BobbyBotsods @RacistNegro69 y'all is coons n uncle toms
Label: Hate Speech
Output:
| [
"true"
] | task905-48135a4c571c4af9a5180adb77a884f3 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: " jus meet son now he ya mane ass bitches " #Shots
Label: Offensive
Output:
| [
"true"
] | task905-67df299d14bb49678e74dd31f24403b5 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Eric_Mariners @chief_peters @LEXXX_RUGER @MANIAC3X @Rodriguez5_ this hoe wasn't loyal http://t.co/LG83fwLdwp
Label: Hate Speech
Output:
| [
"false"
] | task905-a4d72af4a285425a817fb2ea48103347 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @1Starflow 😂😂😂 them bitches need a tan
Label: Neither
Output:
| [
"false"
] | task905-3b3427335435475791ec4f5af8dfda38 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I took 2 "Rebel vs. Yankee" tests (40 questions, accents, word usage) and scored a total % of 47.5% Rebel vs. 52.5% Yankee in southern Pa.
Label: Offensive
Output:
| [
"false"
] | task905-c2d060649c1b439e8289056af459df9c |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@ChanelleLeee: you boney little hoe "@wizkhalifa: Smile for the day. http://t.co/DcXdFtjSjt””
This is funny? :/
Label: Offensive
Output:
| [
"true"
] | task905-ceda930177eb483885cf29aa7fd8f8b7 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: The South is full of white trash. The Midwest is full of white trash. The West Coast if full of white trash.
Label: Neither
Output:
| [
"false"
] | task905-d3214abd573d4a7e8c9fcd9a315f9850 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Be fearful of the wrath of God in a country where many mock Christianity, embrace perversion, abortion, and bows to PC/multiculturalism.
Label: Offensive
Output:
| [
"false"
] | task905-4bc191d740dd4648b74381e26622a692 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "I'm probably your main bitch chocolate dipped cinnamon apple"
Label: Offensive
Output:
| [
"true"
] | task905-ef045e10ebf44dca99d4f12a67ff47af |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@MaxMayo77: http://t.co/PrrskknqRv" love frat boy w/ soft long soles
Label: Neither
Output:
| [
"true"
] | task905-b9286efa06c44a1ea3a43e3a5b77022c |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #CelebrityLeakedPhotos YEAH> NOW YOU KNOW how it feels knowing the #NSA is on all our phones. Quit whining like #muslim #bitches.
Label: Offensive
Output:
| [
"true"
] | task905-c2985bae16dc4a1d83b5e6dc0dbc69d3 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "I taught myself how to eat pussy, and cut my own hair"
"I taught myself how to eat pussy hair"😂
Name the movie 😂
Label: Offensive
Output:
| [
"true"
] | task905-7e27e51a70744425965812c6167b4522 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Good day, honkies. ...I said GOOD DAY! ...honkies.
Label: Offensive
Output:
| [
"false"
] | task905-453afe52c755477bb459ae4a6129aa2f |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "These sour apple bitter bitches, I'm not fuckin wit em"
Label: Hate Speech
Output:
| [
"true"
] | task905-c0c9cfb1cf1742049f8fad0092142354 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@tricethatruth_: Trap keep me fly that's why I love him ❤ http://t.co/AleXGC24t4” ayyyyy you got that hoe at Forever 21 huh? 😎
Label: Neither
Output:
| [
"false"
] | task905-c85b2f1747674777a5de5f273a0cc8e4 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Roberto you are one nasty hoe"
Label: Offensive
Output:
| [
"true"
] | task905-dd3ba59a42a142dbb74b7f44b2447070 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @A_Brown_30 and I just cleaned the entire fucking weight room. Looked like a tornado went through this bitch.C'mon franklin @Franklin_Probs
Label: Hate Speech
Output:
| [
"false"
] | task905-d9f4011e8e804a0c8946d450474e2062 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@skinnysowhat: @PAPER_CHAYSIN aye and when the hoes start coming don't forget who put you on 😌” I won't !!! 😁😁😁
Label: Hate Speech
Output:
| [
"false"
] | task905-fdd4f644fccb462ba03da7ad7e1d7261 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CsSalazar15 yeah right pussy !
Label: Hate Speech
Output:
| [
"false"
] | task905-d0575b84864347bf8d85e6a7ca2a5524 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: It happens AGAIN!! Black pack beats "whitey." This should make national news. http://t.co/izKoA2Xb
Label: Offensive
Output:
| [
"false"
] | task905-42f88543e9d24caaa7dbddfff7c4419f |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @RetroReasoning I think most RPGs are for the birds. I ain't no bird brain yo
Label: Neither
Output:
| [
"true"
] | task905-a85fc1f65f1941f0b348d83d219d56bc |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @vinny2vicious faggot I knew you weren't really my friend.
Label: Hate Speech
Output:
| [
"true"
] | task905-3758b79070724aac8e68c9726a7108fc |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@AriaunaDaVon: Did I just start crying? 😩😭😂” bitch 😂😂😂
Label: Offensive
Output:
| [
"true"
] | task905-327408ba444b4bc7b82464cb0dd8166f |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Mace For Your Wife, Charlie Brown? #rejectedpeanutsspecials
Label: Hate Speech
Output:
| [
"false"
] | task905-a24c37977bc547ed826b89ac528252a1 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@iCARLEYBBY: “@DJZeeti: twitpic a selfie with light colored eyes” http://t.co/BSOYlL83Iz”😍
Label: Neither
Output:
| [
"true"
] | task905-b6753a2c850a4411926ce14342008c7d |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@rugbysocklad: Helping out a mate!! http://t.co/eMNAdO1QOj" I love scally play. Fuck yeah
Label: Offensive
Output:
| [
"true"
] | task905-9081e3343e1f4f0389b003d3535a5d0c |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I can't blow bubbles or whistle. I'm basically retarded.
Label: Neither
Output:
| [
"false"
] | task905-506e66185d214fce86bda816bd9090e9 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Quis_2TurntUp: “@1017_Sqquad: Iont got no type”bad bitches is the only thing that I like 👯💃💃”aye I'm just living life
Label: Offensive
Output:
| [
"true"
] | task905-e881661633d346428340829396bb75a1 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: All you muzzy lovers need to do one thing. Tell muzzies in the mideast to leave Israel alone. Don't start no shit won't be no shit. #Israel
Label: Hate Speech
Output:
| [
"true"
] | task905-059d764c11da4ff99d920032a10c9522 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @10x90 @fucktyler fugly loose hoe
Label: Hate Speech
Output:
| [
"false"
] | task905-9796809842714b789aad0d26052dc513 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I love watching birds migrate. Wish I understood why it's such a peaceful sight.
Label: Hate Speech
Output:
| [
"false"
] | task905-f9e09bd42cb044b7b64e1de52711de44 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@_GeeWillikers_: Ass slapping is one the greatest things. Haha. 😏" I slapped a girl on the ass. . She got mad I aint get pussy for a week
Label: Offensive
Output:
| [
"true"
] | task905-45e7ab439d5c49b8b5b519126d82a83b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: People who live in #theNetherlands are unwashed trash.
Label: Offensive
Output:
| [
"false"
] | task905-240e0a4a93fb4f64a3579af6da2cd86a |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Iont see how some of you niggas fags!!
Label: Offensive
Output:
| [
"false"
] | task905-939ca30849334bfbb4930004383bf205 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I rather watch the oak cliff redskins and oak cliff comets play hell
Label: Offensive
Output:
| [
"false"
] | task905-f671fec43bd9460384d503c74745fa4b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: My auto correct makes me sound so FOB
Label: Hate Speech
Output:
| [
"false"
] | task905-b4f2cb1c87c24bf79a1522726f656e9b |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@MattieTrump97: Eat a lot of protein
Eat a lot of pussy
#MattieTrumpsTipsForABetterLife”
Eat the whole ass
Label: Offensive
Output:
| [
"true"
] | task905-87368ef0893a4734b90991b4ac24a0cd |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @SoWavyTee hey Hun!
Label: Neither
Output:
| [
"true"
] | task905-8dd69d4539e04bf59d7f59fb423ba7df |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 😂😂😂 RT “@TuneLuciano: this hoe just DM'd me sayin "never give up in your dreams"...fuckin fortune cookie ass hoe, fuck out my DM's”
Label: Offensive
Output:
| [
"true"
] | task905-18e24eb5c1f4492f80c92447c98856d1 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #VinitaHegwood can get a job at the naacp. Or as The AG. I hear they like "diversity and tolerance". As long as you ain't a cracker #tcot
Label: Hate Speech
Output:
| [
"true"
] | task905-ddb55f53bddf40e9b234f0ec96bb76a3 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @JungleFeverFren fuck u nigger
Label: Hate Speech
Output:
| [
"true"
] | task905-21d59775bdc641f29c69b3e4b62e3daf |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I do da flow in a temple today fo nuttin. And dat Jew wit the funky hair tell me I subhuman. He tell me I ain't no mo human den a monkey
Label: Neither
Output:
| [
"false"
] | task905-ed59fddc486f4eab81f25861c390ab8a |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Happy Columbus Day! Even #BillMaher likes #cocaine and #Columbus!!! What the fuck is wrong with you #liberals? Fuckin' #moron #retards....
Label: Neither
Output:
| [
"false"
] | task905-c8181b5fac3a489791dbb2f645630a55 |
Definition: 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.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @mitchmancuso: @BrantPrintup:What straight guys take a picture of themselves naked in a hot tun.What fags @jakesiwy @Ryan_Murphy3 @Randy…
Label: Offensive
Output:
| [
"false"
] | task905-14d14467326a44b1ac994c1a9322416c |
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