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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: *after BO1 RT @TheGodWriter_: @iDocLyfe Bruh lol I retired after mw2 because everything was trash afterwards. Label: Neither Output:
[ "true" ]
task905-c7a2636c69a747df83ffad5f47fc238f
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: @CommonGayTweets nigga byeeeee lmfao I'll be dammed if a fag stole my girl Label: Neither Output:
[ "false" ]
task905-1b47e858aca74da7b06a3c63be3e4609
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: 2 bad bitches, 3 glocks, 4 choppas Label: Neither Output:
[ "false" ]
task905-c3a3c1534bf94135a627c972f2e1941b
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: Annoying yelling bint next door has locked herself out. Label: Offensive Output:
[ "false" ]
task905-c81659224f0c488b8a0e772f6a1a51fc
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: @Get__Em__Craig I hear ya hoe Label: Neither Output:
[ "false" ]
task905-a454552ea84340c0a040dce8deebaefc
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 have never actually seen a yellow duck. Label: Hate Speech Output:
[ "false" ]
task905-8f9fb8a237034bb59de0cf61e8f594c8
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: “@no_way_hoesaaay: Bro my birds stay having sex , it's on a daily now.”he said "look ma no hands" http://t.co/rCKxYnWtvX Label: Hate Speech Output:
[ "false" ]
task905-d5780b6740d347b2bded0dd81dac9fae
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 was nice of you to unfollow me, fag Label: Neither Output:
[ "false" ]
task905-1f41d2a9c6684c8d9dbd8a120efcbd11
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: "@AdoreZoey: How u gone bring ur side bitch to a game where You know Ya gf friends at ?! 😩😩😩😩" I SWEAR!!!!! Label: Offensive Output:
[ "true" ]
task905-58bcb898bbea4f99ae5295804eb65dab
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: ' This niggah pharrell or whatever this niggah name is don't deserve shit for that white ass gay song . Label: Hate Speech Output:
[ "true" ]
task905-257bdf422b714bdfa2a72ed28997d128
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 hate the white trash cops who raped and murdered my infant daughters and son. Label: Offensive Output:
[ "false" ]
task905-bf0d7a79e37e47d8a335d878d1d6d619
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: 2012-2013 seniors were chill as fuck. this years seniors are basic ass bitches Label: Hate Speech Output:
[ "false" ]
task905-c07a2b7144ab45de872cf63562205e11
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: Charlie Sheen's Video Message to President Obama http://t.co/kCRWTbCqZd Label: Hate Speech Output:
[ "false" ]
task905-bda9ecf6cf254a03ac2bccf9881c2fba
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: "@fatboyswagg347: they BAN dat pussy for life & he gotta pay 2.5 millon dollar fine" Label: Offensive Output:
[ "true" ]
task905-2728d2fefee746809bf49519b2d04413
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: @leprechaun_ie Strong with the Force, leprechauns are. Label: Neither Output:
[ "true" ]
task905-95055f8ced8e44949cfe7e9bdb514704
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 bitch 👏😋 Label: Offensive Output:
[ "true" ]
task905-df1a685a92c048209306469a408fbfae
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: @ballzahoy cowboy killers.😍 Label: Neither Output:
[ "true" ]
task905-0d2c4d72f6e04d51b8ec9e33b553987b
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: 7:15 needs to hurry up . It's chilly in this bitch Label: Neither Output:
[ "false" ]
task905-18fbb12c66214eadb32067dbe52e5d18
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: 😳Oh this bitch Midy must be crazy http://t.co/75LWvtD4oJ Label: Offensive Output:
[ "true" ]
task905-3e03d6a0f071495daa8e25af33ef8c95
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 @DogeTheDog: Wow Such banana So potassium Much yellow http://t.co/xINHDwyTqS Label: Hate Speech Output:
[ "false" ]
task905-5cddc821a3b747119032927b9c998067
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: "Why would you wanna be the Green Ranger? He's evil!" Duh bitch Label: Offensive Output:
[ "true" ]
task905-4f9009249d5b4d659106a6f7ab792df4
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: 🕛 is the most important thing. All this temporary bullshit and lies is fa the birds. Kill that ! Label: Offensive Output:
[ "true" ]
task905-072442c52b76431f985493091ceff395
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: Fantasy squad doing so trash :/ Label: Offensive Output:
[ "false" ]
task905-d75940e9cfea4e16855239ff758cc369
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: 1996 and 1999 World Series Rematch: #Yankees #Braves Label: Neither Output:
[ "true" ]
task905-638c71dba31142309a6ea99e96976696
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: @teenagesleuth .we got 1, except eric holder gave them 2 the beaners 2 kill americans! guess he is race blind! Label: Hate Speech Output:
[ "true" ]
task905-21642eee7d5941929a94614a8629b3bf
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: @aldofelix naw dude I wish, they're white trash Label: Hate Speech Output:
[ "true" ]
task905-bdcf3c7674d646be89c77e9f5ff38a05
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 @Brianhopecomedy: “Daddy, Batman’s parents are dead.” “Yup.” “And Superman’s.” “Yup.” “What am I going to be when you die?” “Sad ho… Label: Hate Speech Output:
[ "false" ]
task905-705443e7dfa54b1981189873b163203e
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: "@Coley_Cee: Let me make a couple tweets off cuzzo page, so I won't get in twitter jail."lmao bitch don't trick me again Label: Offensive Output:
[ "true" ]
task905-2d350149e54f4f6da26868aeca1dfe84
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: You got me faggot Label: Offensive Output:
[ "false" ]
task905-2c15c3497b28493fbb77651008ecfd20
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 ..its all about you and white conservative teabaggers. You all make the world go round. Please be our rulers.....stockboy Label: Neither Output:
[ "true" ]
task905-6d06ff29bb51476dac47679b910bcc5d
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: @MissRobinV that pic with the red bone in braids and that tiger in the back for sale? Label: Neither Output:
[ "true" ]
task905-f8b5434c3d8042b6b7a5da18219faf3c
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 be sayin I'm done drinkin everyday but then one of my friends hit me up like "I gotta case" and only faggots turn down free beer Label: Offensive Output:
[ "false" ]
task905-bf8aba2ab10d4cd8809fce46a8b158d4
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 @InfidelAlie: Yay for America & Israel... we put in more Jew Hating muslim trash into our government! pathetic & sickening Label: Neither Output:
[ "false" ]
task905-38559cb5abdc42f0b598cedb594f3050
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: @sramirez07943 it's goldbar dumb bitch and no my dad wouldn't pick you up he doesn't like faggots like you 😐👌👏 Label: Hate Speech Output:
[ "true" ]
task905-aa6c722920bc4df99ec5deadd5855e91
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: You a lame ass nigga still cuffin these hoes my bitch got a bitch with er Label: Neither Output:
[ "false" ]
task905-fe2997f1aaec4550a1199d642b8c9da2
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: @ASourAppleTree Have heard hillbilly grousings that bugs much worse in the KV since MIC shut down. Label: Neither Output:
[ "true" ]
task905-c93be46fc22743c7a2a8c90e5cfc2efe
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: “@TedOfficialPage: Fucked your bitch and left her like... http://t.co/x41Q6LUH37”😩😩😂 Label: Offensive Output:
[ "true" ]
task905-823c596dd3f54bdc9ca57469cb6fd355
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: Hazlenut coffee and graham crackers every morning 😍🙌💘 Label: Offensive Output:
[ "false" ]
task905-fe166e3e75ec4f90a1435094089ae5fa
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: @GabrielaAngela4 I am always there bitch! Label: Hate Speech Output:
[ "false" ]
task905-79844d7f6e0c45dea3a9c34b077e7890
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: “@Ashley_J12: Shout out to my momma cuz she didn't raise no hoe! 👌👏🙌” Label: Offensive Output:
[ "true" ]
task905-f178f4a364d04cbe92cbd3a02b5816d2
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: @Cay_JEN I didn't think you knew of a bird that couldn't be tamed. #cajuncharm Label: Neither Output:
[ "true" ]
task905-12fd9a40e28542ad81d3a432a6cf2150
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 @Ms_SadaClay: I love salad RT“@viaNAWF: Anyway fuck you hoes, eat a salad.” Label: Offensive Output:
[ "true" ]
task905-2b9b1500abae47c19adc8c33fb7560ed
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: Don’t believe AP’s ho-hum tone: latest poll is great news for Republicans - Hot Air http://t.co/5HHrFlFP13 Label: Offensive Output:
[ "false" ]
task905-12a8c99d822a49fc8b253ceb0cd2839b
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: @LilMissRightie Hey #teabagger the #benghazi thing is a joke. 13 Benghazis under Bush, no hearings. More on Benghazi than real 9-11 attack Label: Neither Output:
[ "true" ]
task905-525dabee58db4b01a7479058c0cdbad1
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: “@FliirtNextDoor: Phat pussy 😍😩💦💦💦😈: http://t.co/Cbel8h29e1”that looks like a scrotum Label: Offensive Output:
[ "true" ]
task905-c5a11a7ddb4246c5a43d6d459f69f715
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 water isn't yellow, I'm a healthy student" Label: Neither Output:
[ "true" ]
task905-0979c8a1561a499183f4450cf82dc9c5
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 @ABCbirds1: #Colorado lawmakers consider nation’s 1st #wind energy legislation to protect #birds & #bats. http://t.co/shwQYb76pw http://… Label: Hate Speech Output:
[ "false" ]
task905-085e6ee56ac24e97b7b307712b3e4f25
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: @mayormcginn @usmayors @SenFeinstein White people need those weapons to defend themselves from the subhuman trash your sort unleashes on us. Label: Neither Output:
[ "true" ]
task905-dec17925328b47e686ea60edb70184bb
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 @kevnasto: I would rather fuck a fat chick than allow a nigger into my house. Label: Neither Output:
[ "false" ]
task905-092a079e9e084785b5730484e4552ce5
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: 👲👅💦💕 - 😂😭 omg just thinccin of you makes me laugh, we use to STAY talking shit in 3rd period, you cute, & you my bitch ✊😂😭 Label: Offensive Output:
[ "true" ]
task905-73f9879f6b264b62b8370eee2e72a151
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: “@ClassicPict: http://t.co/ZStrqBpwpw” shit like this is retarded. Label: Offensive Output:
[ "true" ]
task905-439ca2633fda492e87aed476b0bea9e5
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: @DriveMy_Lexis yasssss bitch yasssss 😍 Label: Neither Output:
[ "false" ]
task905-f428d9b61e0b4b98abe2fc83d65d32b0
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 used to picture him coming up the wadi to FOB Sharana with a barrel of brandy for me @iiarwatch Label: Offensive Output:
[ "false" ]
task905-f7750a25c80048feb0a0da93dbc71035
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: @2ManyLouboutins @moneydriven stfu hoe and fucking answer me before I smack the shit outta you and your faggot aunt. Label: Neither Output:
[ "false" ]
task905-c0b38cc14de045fb8d75e153381656b7
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: “@lovelyatotheb: @1Bcarter would love the Parkside sport girls, dressed like Kobe all day everyday!” Let me see 1 of them hoes Label: Neither Output:
[ "false" ]
task905-d075a75dc5a4441da37a119342ed10e6
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: <-- nudes are trash Label: Neither Output:
[ "true" ]
task905-c7f1f2d6a27a40fbbd54769694a580b5
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: "@KissMySmilee: Don't got time for bitches to be actin iffy." Label: Offensive Output:
[ "true" ]
task905-b8371a648d504a3a9336359887b65f97
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: coons Label: Offensive Output:
[ "false" ]
task905-f90e2bd3c35c44d3b2032d0e27ee4933
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: Accept your flaws and imperfections because that's what makes you, YOU! See I'm a fuck, small dick faggot with parents who don't love me. Label: Hate Speech Output:
[ "true" ]
task905-82210a82b2ce41a0ad5bda67b3ce3ff2
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: @JuMosq @zachkruse2 Yep. *sobs* I got my hopes up when a couple of the national guys (including that Kiper/McShay mock) had him slipping. Label: Neither Output:
[ "true" ]
task905-1d828e0ab10f4e588738790038f38dc2
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: "This is for all the fans that waited, the bitch niggas that hated / Old hoes we dated, look mama, we… http://t.co/sNRY6A7VYB Label: Offensive Output:
[ "true" ]
task905-c42328d9cc6841d4b3aeb75dcdbdf3f4
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: @WilliamFBrasky @TheRandomBoner i feel the warm fuzzies. Label: Neither Output:
[ "true" ]
task905-a4ff3a71070a4052aad67c1cff394668
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: "You ol trout mouth ass bitch" DEEEEAAAADD Label: Hate Speech Output:
[ "true" ]
task905-5f7d1830957848a19296198f3e44f6c6
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: @DRSlaten I view hackers on the same level as shoplifters - bitch slapped into the lake and held until drowning. Harsh, but yeah. Hate. Label: Neither Output:
[ "false" ]
task905-666131681d74463fbc7cfe8a705513fa
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: @GoHard_Brown @your_daddy9 & xavier you bitch. Label: Hate Speech Output:
[ "false" ]
task905-8de5e43496cb4833bdc3bec48d938381
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 "@_ThatGAPeach: & alla my niggas hot boys , so don't bring no ice in this bitch 💂” Label: Offensive Output:
[ "false" ]
task905-963f730f577b47de85bac64fd3691377
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: "We hate niggers, we hate faggots and we hate spics"-kkk rally Label: Hate Speech Output:
[ "true" ]
task905-c7bc7d2b52a34514a40201a24a8bf876
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: @rashidgill5 I'll see you guys later. I gotta go bake my blood crackers. @RazaHussain101 Label: Neither Output:
[ "true" ]
task905-2601a0907c4245459174380faa66764d
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: “@Jaydillz: The day you unblock me you will become a man again. But that won't happen so you just a bitch.” @iDisrespectHoez lol Label: Offensive Output:
[ "true" ]
task905-461c6249794c49a39c7b3be6426ba58d
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 @imDOPE_GetHigh: @Whackko man some lame niggah when I find him I'm unfollowing TF out his ass! Label: Neither Output:
[ "false" ]
task905-304723796bf14e2db495c2e96e4a77e7
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: Oh man. This could be a serious first ever Chanel bag contender RT @evachen212 grape-colored Chanel bags http://t.co/q8ShjIFv Label: Offensive Output:
[ "false" ]
task905-51a4965c880e4f908c883afeeb353975
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: From the ESPN Yankees game recap: "the sellout crowd braved 61-degree temperatures." LOL What??? That's not weather you struggle through. Label: Hate Speech Output:
[ "false" ]
task905-a32a26c17c794896becedc8fa25d0609
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: #np Shy Glizzy - Awwsome (Remix) (Feat. 2 Chainz & A$AP Rocky) via @Spinrilla. http://t.co/OWxtdRKWbC Label: Neither Output:
[ "true" ]
task905-d0689e11b9ab448aa494c14cdd9db127
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: R&B is so trash now compared to early 2000's. Label: Offensive Output:
[ "false" ]
task905-25be833d0ddc4738bd84233d570f98a9
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: @ChrisHeben you motherfuckin' bullshit slingin' son of a whore! you disgraced all vets with ur crap. now go off to pussy land where u belong Label: Hate Speech Output:
[ "false" ]
task905-3a9c191fab914f6b92c268531b9201f8
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: Jihadis betting on public protests in Britain to force UK gov out of the anti-ISIS coalition http://t.co/5gJSmrfzWJ Label: Hate Speech Output:
[ "false" ]
task905-853333e67fc34b0b8b9618defbacf6e0
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: @elchavaloko pinche panamonos negros me Dan asco Label: Neither Output:
[ "true" ]
task905-657369c57bbf457ea3e099850f649bcd
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: @dustincmc @KevinKillsThngs ghetto=black Label: Neither Output:
[ "true" ]
task905-4a302b7be8e14cfe99670dcc635fd598
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: Not really sure how to describe what's happening here #eurotrash @mguiducci @nickbrown85 @ VIP Room http://t.co/WTS6nM3egc Label: Hate Speech Output:
[ "false" ]
task905-757741983b3e497ea16bb71ddeb39bcc
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: Just watched the scene in zero dark thirty where they pop Osama's bitch ass #U #S #A Label: Neither Output:
[ "false" ]
task905-64b8971f92bd46bb9417c1c78061c835
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: Many people claiming slippery slope is now absolute are same ones who said slippery slope is an argument for the paranoid delusional. #tcot Label: Hate Speech Output:
[ "false" ]
task905-412ae87de4f84b6a912dad6bf4e29c1c
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: Jones and Ibañez are out of gas after giving it their all earlier in the first half. The call-ups should get more playing time #Yankees #MLB Label: Offensive Output:
[ "false" ]
task905-d44799c1858b4aaca45305026f6716e3
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 may or may not have at least 4 FOB related tattoos already planned out. Label: Offensive Output:
[ "false" ]
task905-6249da108a9d455fb2024219be91034a
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: @_cblaze @Barbod6FCB @ODDBEAST Man bitch am not gonna do a damn thang, if u don't like what I got to say then unfollow me Label: Hate Speech Output:
[ "true" ]
task905-46e564ffb70546aea751c2c114405990
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: @Po0pdogg back up faggot Label: Hate Speech Output:
[ "true" ]
task905-24de003cac764daf9a85ac49ae9b5255
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: “@LegendaryE_: i dont een tryna be disrespectful when i say bitch. its just a term, like bruh or son” Label: Offensive Output:
[ "true" ]
task905-a819f04d283843998a1cbd01db1757e7
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: "We're out here, and we're queer!" " 2, 4, 6, hut! We like it in our butt!" Label: Hate Speech Output:
[ "true" ]
task905-db911d663ada4b4c8cf0b52a97d000d2
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: @whoswilly white boy talmbout Ight I'll see you tomorrow at school nigger Label: Hate Speech Output:
[ "true" ]
task905-cf9ca910399f45ada334e5722f17171d
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 just don't bitch when your power goes out like last time Label: Neither Output:
[ "false" ]
task905-bcf47dbef362472d986b15bc75766245
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: 24_rozay_idgt mad cuz Twan fuck his bitch😂 http://t.co/GoyZfOU46I Label: Neither Output:
[ "false" ]
task905-b38e4fb700ab41efa3ce0773eb9582c7
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: ✌️ out bitch I'm winning 😎 http://t.co/k3l15zoBGz Label: Hate Speech Output:
[ "false" ]
task905-f6937acae826471196a9645b7c221eea
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 feelin like Malcolm in the middle, these bitches surround me they can't miss em" Label: Offensive Output:
[ "true" ]
task905-48c06563b6dc42ddba435e016a4f924a
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: "@thebravebird: #YoureNotMyType if my fade is perpetually fresher than yours." That's a real ass bitch rite there Label: Offensive Output:
[ "true" ]
task905-f5a04a0825244709a64365501ceaff02
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 hate when white trash try to act like they're my equal. It only makes it that much clearer how white trash they are. Label: Neither Output:
[ "false" ]
task905-8bfefd18f0ae4dffb116e1999d1a15b4
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: @KateWhineHall I starting laughing "worked out"...not b/c I think its funny that you work... *throws phone in trash over butchered subtweet Label: Neither Output:
[ "true" ]
task905-fb6a10643af947498734b96ed3124727
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: “@CommonBlackGirI: bitch that's ham on her face http://t.co/vSRAyShD5Y” @rachel_dority Label: Offensive Output:
[ "true" ]
task905-94e37a1baf7e429ea3e15fe0e0effd18
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's gonna be a long season for the Yankees if this simulation is right #BlueJays #Rays #Yankees #Orioles… http://t.co/Zc3k9NDB1T Label: Hate Speech Output:
[ "false" ]
task905-83b62ee257bb4094866bf9cfbde1a051
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: “@KINSL3Y: When I'm in that pussy, honey I'm home!” 😂😂😂 Label: Offensive Output:
[ "true" ]
task905-2c82a14d45fa435a98ddcd9a41aaca9b
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: ' Shawty wanna tell me secrets on how to rap niggah , I tell that bitch it's more attractive when you hold it down 󾮟󾮗 . Label: Neither Output:
[ "false" ]
task905-dcf029a364004c9f8c7747c65b58f7c8
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: "@CauseWereGuys: On my way to fuck yo bitch http://t.co/j906T5zE2R" me as a 9 year old Label: Offensive Output:
[ "true" ]
task905-86e7647b8c1046c98d5334474ae1ebf5

Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task905_hate_speech_offensive_classification

Additional Information

Citation Information

The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:

@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
    title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}, 
    author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
    year={2022},
    eprint={2204.07705},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2204.07705}, 
}

More details can also be found in the following paper:

@misc{brüelgabrielsson2024compressserveservingthousands,
    title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, 
    author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
    year={2024},
    eprint={2407.00066},
    archivePrefix={arXiv},
    primaryClass={cs.DC},
    url={https://arxiv.org/abs/2407.00066}, 
}

Contact Information

For any comments or questions, please email Rickard Brüel Gabrielsson

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