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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: @ClicquotSuave I would dead upper cut that bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-9815e5a93cbc4680b455288b09c3e18a |
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: @AceWuzHere why you talking to me at 5, almost 6am. We ain’t friends, pussy.
Label: Neither
Output:
| [
"false"
] | task905-39c7b1f1cc8e4a839fa9f2b5142786a9 |
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: Everyone thinks that I'm not the person on my id. Like look at my moles, I don't understand.. Like I colored my hair what a big difference
Label: Offensive
Output:
| [
"false"
] | task905-84326fd532b24b11ba143c835f86c02f |
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: Black bitches don't be kickin up in our school. Bitches still comin wit durags still on they head nd shit.
Label: Hate Speech
Output:
| [
"true"
] | task905-9b5d9fc856504335b55de68193a39eb6 |
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: @gregorious13 I don't understand it, there's trash cans/dumpsters everywhere and if there's not, just wait till you go somewhere with one.
Label: Neither
Output:
| [
"true"
] | task905-25252dc01e354db59b5ae52412b8a414 |
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: Stuck up serious bitches are possibly the worst type of girls. Ever.
Label: Neither
Output:
| [
"false"
] | task905-af68023c93f242adb9789b32b5673b4e |
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: @tweetstar10 Saw that there's a 15° slope to the wire? That enough for a zip-line? #businessopportunity
Label: Neither
Output:
| [
"true"
] | task905-235adc146d154a5782b77bfe271fede8 |
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: Hey if I stir a Spider, Rockstar, and Monster together and chug it, would I /definitely/ be hospitalized or just maybe? Asking for a friend
Label: Hate Speech
Output:
| [
"false"
] | task905-1aaa6a4ee2b047328a0d702160e76e94 |
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: “@Fly_Air_Walker: Everybody entitled to they own opinion tho.” Not that bitch she need to shut up & sit the fuck down
Label: Offensive
Output:
| [
"true"
] | task905-7ceff9e6a3bf4b769a84f33eaa58c39e |
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: @Pepper_Redbone @Yankees Just getting in! I hope so. Cause they stunk it up last night.
Label: Neither
Output:
| [
"true"
] | task905-d9b9bb93c70f461682b3e58739473f20 |
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: “@miilkkk: this dude a fucking legend bruh, fuck her right in the pussy lmao http://t.co/GfYrQ2VFYZ” true legendFuck her right in the pussy!
Label: Neither
Output:
| [
"false"
] | task905-e1823626333246a3b6c7ccac2d9be51d |
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: "Batter the wee cunt Jewis" y cos he fucked my ex? Emma isnt battering the girls I've nailed?Ive moved on,stop being a pussy n do it urself.
Label: Offensive
Output:
| [
"true"
] | task905-d304c4be354b4e4dba977b873b15642f |
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: "@stephencdo: @currieburry if one of you bitches want some of my burrito u can catch me at potosino" huh? Haha
Label: Offensive
Output:
| [
"true"
] | task905-1543f0044f2b48d2a595f28ea85619e1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Lmao let these hoes be hoes ain't no Savin nem
Label: Offensive
Output:
| [
"false"
] | task905-52e4ffa10f224099857f51a041cc152a |
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: Mother Nature hates the Yankees and baseball
Label: Offensive
Output:
| [
"false"
] | task905-58c64bc144f34281b1ee6d31a3583831 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #XXX | homemade pussy eating – http://t.co/2yuIdrLN3k http://t.co/Z8GAiWlLye
Label: Offensive
Output:
| [
"true"
] | task905-9415467032c44757bc558c7d065220e1 |
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: @forgivemehera also, I put 'i touch myself' on a ned/chuck mix.
Label: Neither
Output:
| [
"true"
] | task905-8f2d2feb3dda4baab92244c24bdfcaa7 |
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: “@Livefromthe_A: These Niggaz bitches hiding behind gangs they ain't in 💯 🐸☕️” 🙌💯
Label: Offensive
Output:
| [
"true"
] | task905-e21dda9679cc4fa79a56b21f34f379ec |
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: “@__Neecol: Like why tf is this bitch following me ?”👀
Label: Neither
Output:
| [
"false"
] | task905-11dc04dffd8e4c2c83f77d4a58d4eeab |
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: @miquelpaniscus @ArcusGreatApes @graspunep The person actually holding the ape is NOT Paris. It's her sister
Label: Neither
Output:
| [
"true"
] | task905-3c6f0c6acf014aca8164a17a29e5791f |
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: "@clayton_jenn99: I'm gonna miss that bitch of a bus driver..."no you won't. Don't lie
Label: Offensive
Output:
| [
"true"
] | task905-4c6e37ff72ce464ba296895f47d46829 |
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: @FredRPVasquez damn he was my bitch for Eddie Johnson teams last year
Label: Hate Speech
Output:
| [
"false"
] | task905-181455d09494493da06b2a9d9fc3baee |
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: Here we go brownies here we go! WOOF WOOF!
Label: Offensive
Output:
| [
"false"
] | task905-dc812dc50c484be8bc6653c1c778a86d |
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 @Woody_AFC: I saw a great chimpout 2 summers ago. A middle aged Salvadoran and his 15 Yr old son got wasted by 6 beaners at the metlife …
Label: Offensive
Output:
| [
"false"
] | task905-3b2bde5a17084967bc147a0a6a09db3e |
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: @Buy_Mortimer @WiigJosh @iowa51005 @TC_live2014 @todd_calfee Hookers are always complimentary-who wants to be with a bitch?
Label: Hate Speech
Output:
| [
"false"
] | task905-ee04db7231f34a72ab218cb3c6fd0e12 |
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: Big bird holds press conf claims "he does not care for the letter f"
Label: Offensive
Output:
| [
"false"
] | task905-aa94b1c072b24b45bd1261520acae829 |
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: @TerryTGood @1DancingCrane The Moors used to give kids free lunch in the Bronx when I was a kid. Glad to see they are still doing good.
Label: Neither
Output:
| [
"true"
] | task905-21f6c6697da549e3ac30529df159e195 |
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: @FrancoisKilljoy Marshall Law! Whatever you coon
Label: Neither
Output:
| [
"true"
] | task905-5386e0ef84144be59811b29ea99678c6 |
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: Inspiring a huge crowd of tourists to sit and watch the "wild meadow rats" over here by the trash cans. Cameras are out. There is gasping.
Label: Hate Speech
Output:
| [
"false"
] | task905-a661b902b10944919a1901a222c8ff1e |
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: @AyeFuckWoody @coryburgess87 do i literally eat asshole for a living? is that what i actually do faggot? You seem a little confused..
Label: Hate Speech
Output:
| [
"true"
] | task905-8faf5ff8e2444ec9b6bdbb873188870b |
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: @CheyenneDoan cause hes a faggot
Label: Neither
Output:
| [
"false"
] | task905-654e0179f41248418b8c22c6a83cd143 |
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: @Alejandro_Bihhh lol I was bout to say. Shit income tax in I'm Tryna find me a bitch for a couple weeks
Label: Neither
Output:
| [
"false"
] | task905-9470f1c74b97426082e6d5172a455e24 |
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: “@GaryTweets__: It's my dogs birthday ❤️” you should get it a bad bitch 😉 #punny
Label: Offensive
Output:
| [
"true"
] | task905-e18c5334d7954c66b7872ace7a8fae75 |
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: “@_BitchBUH: Shoot that nigga and his shorty bitch 🔫😂” ‼️‼️
Label: Hate Speech
Output:
| [
"true"
] | task905-1790d1eb7b4f466899fd73d08663aea7 |
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 Jihadi streams: Rutba, Anbar Province, #Iraq http://t.co/K6j37J2sgL
Label: Offensive
Output:
| [
"false"
] | task905-07e093e8d46649a9988719703924a765 |
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: "hoes suck my dick cus i look like john stockton hit em wit the choppa, luke i am your fatherrr" - @LILBTHEBASEDGOD
Label: Offensive
Output:
| [
"true"
] | task905-b821bba8a318418986753185a366dcde |
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: "Wow you are a bitch"
Yes that's already been established, anything else you have to say?
Label: Offensive
Output:
| [
"true"
] | task905-2b59182106224068bfc441df270350e3 |
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: @ElizabethBatman bitch.
Label: Neither
Output:
| [
"false"
] | task905-63c8f8e1935849779725cab0ffdafbf8 |
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: @TechN9ne why did they add your name all ghetto like that? Looks like they used label maker, lol!
Label: Neither
Output:
| [
"true"
] | task905-e0f8f49c72a3441da605ffad2e500afc |
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 @Leslieeeixta: Bdubs is packed with beaners 😭😂
Label: Offensive
Output:
| [
"false"
] | task905-6f19cb4235f9448cad68636a9014e6fa |
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: @ChrisPowellswag @_cblaze @Dswizzle3 Dawson and Nicky Hickman delete the fake account and and stop being bitches
Label: Hate Speech
Output:
| [
"false"
] | task905-70aa0eb837784061ae187c51cc1af022 |
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: Oscar Taveras went yardie in his 2nd career MLB at bat. What a stud.
Label: Hate Speech
Output:
| [
"false"
] | task905-fe42e7838c364f2b814f5a44091bccc2 |
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: @Selecta_kerry I seeing ppl saying running a train on a bird, and a parry is the same thing, but das not what I know..so looking for clarity
Label: Neither
Output:
| [
"true"
] | task905-ed4166969a084b09b5e3c30a96fca28f |
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: @luvvida You're right.. I be around my nig....
Label: Hate Speech
Output:
| [
"true"
] | task905-cde072dd45d247aa9603bd37ef4be9cf |
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: @Dalton_ryann laying in bed bout to pass out 630 is gonna be a bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-d753d19150fd49c694acd69f230b5aa0 |
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: “@ZeeCobb: All I want for my birthday is a female with a large buttocks.” Big booty hoe
Label: Hate Speech
Output:
| [
"false"
] | task905-d15d47db379349a8aece8bc9b8fb1176 |
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: “@zekedafreekk: Queen Latifah the only dyke id contemplate fucking.. Rns”wait...
Label: Hate Speech
Output:
| [
"false"
] | task905-cfb597f55c75478a99d9ab870e83b907 |
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: “@verseunanswered: Did that bitch from Frozen ever let it go?” 😂😂
Label: Neither
Output:
| [
"false"
] | task905-1adf250aefa84baa99eff84601f0d5eb |
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: Flappy bird stresses me out
Label: Offensive
Output:
| [
"false"
] | task905-8cfeaaa925e84c3a9d182d360f055bd2 |
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: @jacquebland Weird to see a local yokel "journalist" get worked up enough to take such a pointed side, though. Thought they were impartial.
Label: Neither
Output:
| [
"true"
] | task905-b61131201207487d957ca92b4c0e8cd9 |
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: @ErinSaberSix im 99 slay bitch, im wearin bandos armor cause im so rich, i got my slayer helm and my whip droppies
Label: Neither
Output:
| [
"false"
] | task905-bd29dae65aff44b88f3fa59e1a8f9620 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: A-Rod said the number #13 he wears on his uniform is for opposing teams to fear him but the fact is A-Rod is a damn cancer to the #Yankees
Label: Offensive
Output:
| [
"false"
] | task905-8a4df6c2e14f42c4bd2bba87fe60d96b |
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: “@Greg_Jon3s: I hope my future wife, who ever she might be, is sleeping or studying instead if being a hoe right now” nigga shutcho asss up
Label: Offensive
Output:
| [
"true"
] | task905-00aae54e0b0441a5b0ef6e13e18133d6 |
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: So many bitches in one sentence #fixitjesus
Label: Offensive
Output:
| [
"false"
] | task905-b09734b589244758a626173c70af66c2 |
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: @CrackerJhak Because you're a fag
Label: Hate Speech
Output:
| [
"true"
] | task905-568767cae1c343c18a01c8087fbb63ec |
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 know right. Get one guy out!! Man! @pjmclaugh: You had ONE JOB, Josh@Nobz13 Outman! #Yankees”
Label: Offensive
Output:
| [
"false"
] | task905-a12c92ea192a4faba47472e90bbdf13c |
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: “@El_Grillo1: Islamic State suspects in Indonesia are Chinese Uighurs http://t.co/58IDicaHzT”
Uighur Jihadis: they're not just a PRC tool.
Label: Neither
Output:
| [
"true"
] | task905-b2f8e6fd166e486c937b13c281b9edfa |
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: @BillionaireCrow @Neelahrelates your what's wrong with the white race you fuckin coon slaying piece of poop please die alone
Label: Hate Speech
Output:
| [
"true"
] | task905-f42c2887e0c24112b0816ddd0335119e |
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: @BrendaGisselCA that you got hoes damn
Label: Neither
Output:
| [
"false"
] | task905-78512821366544528a98c724b66eb383 |
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 just feel like my mouthpiece so cold 󾌡 I'll give lessons to every niggah that ever got turned down , for the low cost of $24.99 󾮞 Hmu .
Label: Hate Speech
Output:
| [
"false"
] | task905-0593835992b948758d248d0d9df6d45b |
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: “@ShesSoBlessed_: Oreos And Milk 😋”
Label: Neither
Output:
| [
"true"
] | task905-fa79fc3f6acc40679ab3a3d173ac9ba4 |
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: Aye a nicca is tired tho!
Label: Offensive
Output:
| [
"false"
] | task905-7b57d40936144515ba089ed68203832d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: People who enjoy shows like @SouthPark and @FamilyGuyonFOX are douche bags. Usually white trash, too.
Label: Neither
Output:
| [
"false"
] | task905-0d8baabaa6814063b58270e19b53b756 |
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: @Buffalodave1 @BretVonDehl @AlexFoxx13 @brandonkilexxx @JCCharles8 @TylerGloyd Wait,wait,wait, The new one or the EP?Son of a bitch Lucky ;)
Label: Neither
Output:
| [
"false"
] | task905-f37a21ee0cba4385b608ab4c124c025c |
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: @1stBlock_Rody yu ah hoe
Label: Hate Speech
Output:
| [
"false"
] | task905-d371e69662e84058a9f193ba313b92dc |
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 @_2kkz: This faggit bitch tried to say she hoe'd for hd bearfaced bitch yusa fag
Label: Neither
Output:
| [
"false"
] | task905-8e50860f809e414b9f11b85287b15cca |
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: @t5_harris Are you working on route running and catching. You'll be a good WR for Grier. Have fun with the white trash, racist UF fans. #FSU
Label: Hate Speech
Output:
| [
"true"
] | task905-8a2a69d3e54744e28c85d69a3522cfc5 |
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: @YoungJeezy got me feelin like #trappin ain't dead. Got me ready to call the #guala! #Salute da truth! #SeenItAll #SeenItAllTheAutobiography
Label: Neither
Output:
| [
"true"
] | task905-5f85d3fcab2444239f47172f01b60379 |
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: ' Being in love stressful ma niggah .
Label: Neither
Output:
| [
"false"
] | task905-e1d0a086bf784e4f9fe53265cfef8327 |
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: @DaveSwerve awe boy your shirt tight than a bitch in that avi polo man turnt into a wrestler fat ass lil boy
Label: Neither
Output:
| [
"false"
] | task905-3c52dd2810714e0c8bf58e65afcd6a9c |
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: @THEHermanCain @redskins I'm not a liberal & I support changing the name. It transcends standard political grandstanding.
Label: Neither
Output:
| [
"true"
] | task905-d948ab8025cc40a290cc2176e1ba921a |
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 best friend says I don't need to be in love right now .... he thinks its too soon to love monkey....
Label: Hate Speech
Output:
| [
"false"
] | task905-e3136567c3fd4e328275de90eafde71c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: People who slam on the brakes at yellow lights should not be allowed to drive.
Label: Offensive
Output:
| [
"false"
] | task905-ab2345c1c11f4b84a2ac125a68c56c81 |
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: @DomWorldPeace Oh nab.. Def not that easy. You may not know, nor believe this but I'm legendary for curving pussy.. lol Guilty pleasure.
Label: Hate Speech
Output:
| [
"false"
] | task905-d315fe10ac9841abbaf0b6b2991e23fe |
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 grandma used to call me a porch monkey all the time... Come to think of it she did refer to a broken bottle as a nigger knife" 😳
Label: Hate Speech
Output:
| [
"true"
] | task905-0fd0f870279d49709a87b76caf9bebfc |
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 so shady when you bitches talk to guys w/ girlfriends that's so disrespectful to do to another girl
Label: Offensive
Output:
| [
"false"
] | task905-76383f75849e4acfa1bf4ef5b702136d |
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: “@xoxo_hayleyy: "@savageater: i think if my girlfriend were to get locked up shed be the first one raped.#pussy"really bitch✋😒”really swerve
Label: Hate Speech
Output:
| [
"false"
] | task905-3d7bb1de5d2049bca8fef2e8bde99d99 |
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: Chicks love these ugly hipster faggots. Prolly cause they look like the dad that was never in their life.
Label: Hate Speech
Output:
| [
"true"
] | task905-88a41f9e8a934b2183e09e7a19c6fbcf |
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: @CayMarieee bitch I'm talm bout at like 10 ✋😂
Label: Hate Speech
Output:
| [
"false"
] | task905-6f0d65018b144a68a3dbf7ed6e1ea2f3 |
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 ain't April Fool's yet.. «@IGiveEmNathan Jay Z trash»
Label: Hate Speech
Output:
| [
"false"
] | task905-4e25f3b354794c238fe57f4765e5ffaa |
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: "@adriwadrri: No love for these fuck niggas" hoes*
Label: Offensive
Output:
| [
"true"
] | task905-f4cf7c63b0a74a4eb1448d9baa92d5e9 |
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: Mark Teixeira finally stepping up, HR and couple of BBs #Yankees
Label: Offensive
Output:
| [
"false"
] | task905-f92595cc4c514baab5fb3688d417ce87 |
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 @DomWorldPeace: Teixeira on point tonight. #Yankees
Label: Offensive
Output:
| [
"false"
] | task905-d7b19e03b0964bc1a68f837421804b2a |
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: “@staciaburbidge: fat chance you'll ever catch me drinking a beer” same bitches
Label: Hate Speech
Output:
| [
"false"
] | task905-cc21c9bed90d4042bb9f141b51f7ad4d |
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: #Shoutout to everybody that follow a nicca!!
Label: Offensive
Output:
| [
"true"
] | task905-67b3d1a7c2384ec5be0ca826ec0e69e7 |
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: <<<<<<when bitches be doing too much on twitter
Label: Hate Speech
Output:
| [
"false"
] | task905-38fdd9cccedc4cf8bbe408ee614b3eae |
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.I.P Deshawn 󾍛 . I don't know him but I know a darkskin niggah in the hood named Deshawn getting shot tonight .
Label: Neither
Output:
| [
"false"
] | task905-dc426e9a54eb438a9a8082ebeb11279f |
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: @TreyDoe_: @HallDerik @20ToLife_ once fag." You got pressed to the ground? ..hang up your cleats n never put them back on or think about it
Label: Neither
Output:
| [
"true"
] | task905-841753b630984690af0378123a4acef3 |
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: "@NICKIMINAJ: #WutKinda
r purple. Ceeeleee"man this gurl was jus playin on the "stupid hoe " track. But in still shitted on sum gurls
Label: Offensive
Output:
| [
"true"
] | task905-396deeec9b9348fb91124e426908bd0d |
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 @C_Phil_13: Man... I was trying to eat 😫 "@kylegotjokes: "Nigga you said it was bitches out here, I showed up for nothin!" http://t.co/u…
Label: Neither
Output:
| [
"false"
] | task905-09c54cd5702f412c8fdddd0fa680a459 |
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 talked to some birds... I fell in love again..
Label: Hate Speech
Output:
| [
"false"
] | task905-07cfd3fb9954449baf55bd5e2f782607 |
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 @JHarmelink182: The fox says you're a cunt.
Label: Neither
Output:
| [
"false"
] | task905-0c13a286e579428aa8e56522119b912a |
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: “@PoeticallyLucky: It's like when a bitch gotta pretty pussy but it's loose .”
#witchcraft
Label: Offensive
Output:
| [
"true"
] | task905-b4862cf7b1e94de8b53a58ad0cfb250c |
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: “@justinbieber: that new 1d song diana is well written well done boyzzzzzz” bow down bitch
Label: Neither
Output:
| [
"false"
] | task905-440ad6f32f404472a72ce2151d4104f7 |
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: #DUH @Transhuman_: That's because they're possibly tucking a penis "@EmperorIra: This bitch got man boobs http://t.co/VJvXwLrJoP"”"
Label: Offensive
Output:
| [
"true"
] | task905-62488bc711eb4438bf48503ab588cf04 |
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: cant trust niggas when it come to bitches
Label: Neither
Output:
| [
"false"
] | task905-653d102693e6488199fb0a5d37ac8dcb |
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: “@noLove_moreLOUD: Wifey means The pussy good right now but you gotta go in 2 months.”basically
Label: Hate Speech
Output:
| [
"false"
] | task905-29434556c1e14070ab9c9197789d84bd |
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'in your own shit now pussy what a joke you'd end up just like all the rest no show chicken shit mother fucker
Label: Offensive
Output:
| [
"false"
] | task905-d3ea1c23289f4ed8a96f0112d89e6cde |
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: " cant you see these hoes wont change "
Label: Offensive
Output:
| [
"true"
] | task905-179f3631075448ecb6cc6b8e15f2fc30 |
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: ' That fb profile checker thing fake then a mf , I just added some bitch yesterday and it had me on the top . Fuck fr ?
Label: Neither
Output:
| [
"false"
] | task905-97eaadc1f2ed41f6893282aed4f3b6a2 |