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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: @wutkarina Alright fag
Label: Hate Speech
Output:
| [
"true"
] | task905-3a7500405bc041f1834ee600c6dc9b7b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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! I'm gonna get some sort of bird tattooed on my body, accompanied with an anchor/rope situation. No one's doing that right now, right?
Label: Hate Speech
Output:
| [
"false"
] | task905-afb56004dfae4c2a97c13652ed794323 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @GenuinelyOT lol, that pussy got rich niggas losing their minds too. Got Drizzy & Breezy beef'd out, that puss is the devil's playground.
Label: Neither
Output:
| [
"false"
] | task905-ddc34e9f1037438fa1c904887a56fd88 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Everybody loves pot brownies, but I bring crystal meth cupcakes to a party, Suddenly I'm the weirdo
Label: Hate Speech
Output:
| [
"false"
] | task905-f7864040124348d6aba309f549d6e378 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @Slanguage: Stop flattering yourself, bitch. The only fan you have is on your ceiling.
Label: Offensive
Output:
| [
"false"
] | task905-1c94e3ac6c1c41668258a67069aaabff |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Cee_Murda94 yellow fin
Label: Neither
Output:
| [
"true"
] | task905-a413b97771a849429833f20bc0f0d77d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @LexVan13 go back to nigeria faggot
Label: Hate Speech
Output:
| [
"true"
] | task905-43206edcc4aa443291086cd429ca9efe |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 would describe @whatupag's work as blaxican.
Label: Offensive
Output:
| [
"false"
] | task905-71ca78989f614623a68ac40315f14fae |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @ItsMander @kfc
You can always gets da colored folk back in da cage wit da KFC
Label: Hate Speech
Output:
| [
"true"
] | task905-5574e564409b449ca57bf2fe3fa5fd5d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@thepizzafacts: Cute text: ey bitch come over for some pizza”@KellieNehls
Label: Neither
Output:
| [
"false"
] | task905-8679cc80d2994f73be29d33ed8fe6071 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BekySawyer boats and hoes
Label: Neither
Output:
| [
"false"
] | task905-d8c49f0223644b548fc9a6329237f5e4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Proud to be a redneck patriot :) @Docs357 @Cats_lmbo @KoichicCheryl @bja_tw @yrwol7 @DavesGrill
Label: Offensive
Output:
| [
"false"
] | task905-b138637d7eeb47d1ba33e08996b3db32 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #TRUTH RT @notashley: David is the Charlie Brown of #Scandal
Label: Neither
Output:
| [
"true"
] | task905-03a99d4ed7bf4b1fb08c4394dc8bdb05 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 they say him they mean dyke Ron #wcw http://t.co/VV4DUMMe4A
Label: Hate Speech
Output:
| [
"true"
] | task905-d4502888aca043f68087306faed7ec45 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CheckMyLingo_ @Kingpin_Terror ima get this so every time I throw trash away its where it really belongs http://t.co/DRGBekvzun
Label: Neither
Output:
| [
"true"
] | task905-e0fd608df8fc4c7e9c0404279e185c18 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CellNBuu ewwww her nips are DEF more perfect than that
Label: Neither
Output:
| [
"true"
] | task905-3a96469a36e34776ae961ac0cc5fc047 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@_heyshelby: Bitch I'm on, bitch I'm on my griiind” thug luuuuuuv
Label: Hate Speech
Output:
| [
"false"
] | task905-8242d73d4a244fd1a4876126d1c9b34b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I have no clothes that make me look like a redneck but I tried my best 😂
Label: Offensive
Output:
| [
"false"
] | task905-8a47fbdf881c4e948536e4105e196621 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "poor whitey" http://t.co/3UkKeyznz8
Label: Hate Speech
Output:
| [
"true"
] | task905-800f2f57b39847ea86815cbb14436fd7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: PHILOSOPHY EXISTENTIALISM AND DEPTH and not trash pop
#MTVHottestLanaDelRey
Label: Hate Speech
Output:
| [
"false"
] | task905-2d8b59f3c52644949551c31f06e86b43 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Eric_Mariners @JC_1221 point that sasquatch bitch out
Label: Neither
Output:
| [
"false"
] | task905-8b45624b880345069061efacab261e00 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ...and I'm goin back to school.. only for the hoes and a class or two
Label: Hate Speech
Output:
| [
"false"
] | task905-52cd1a7c7cce4fc69e9fffe85b6ec6e7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@GTM_Al: Ya side bitch gotta know it's rules to this shit..anybody ask you my cousin from jersey thinkin bout moving" lmmfao 😂😂😂😂
Label: Offensive
Output:
| [
"true"
] | task905-db1ce09c562c4d30a0733e4e6a0ac1e4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 99 percent of the trash we dump in the sea is missing. This is not a good thing → http://t.co/CwC2LWCV3T http://t.co/Y0kt02HLm1
Label: Neither
Output:
| [
"true"
] | task905-0d22cb5421ac41d281a3354926c6d93b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 bird got a headache 😏😒
Label: Offensive
Output:
| [
"false"
] | task905-7067b96391ea4640a2171b30284df847 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 shockingly true tale from the Oreo that almost got devoured. http://t.co/WYIS0LVdsi
Label: Offensive
Output:
| [
"false"
] | task905-3df372aa14344f92892d25d66e9a5ffc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@pot_headed: Ready for another tat doeeee . 😏”by me right hoe!
Label: Hate Speech
Output:
| [
"false"
] | task905-e7668adbc89e4aefa356a6d0d4821dd8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @hunterbuch66 @kieffer_jason @sbsylvester all u can pull is the fucking retard
Label: Hate Speech
Output:
| [
"true"
] | task905-af48400063524e47b327705cb7dca622 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: King, TI vs tip and that troubleman albums all trash.
Label: Offensive
Output:
| [
"false"
] | task905-7798eb51a3044e73bbbda8398b6763d5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I love floating monkey heads as much as the next person but Active Surplus' website is just redonkulus. http://www.activesurplus.com/
Label: Hate Speech
Output:
| [
"false"
] | task905-63e92645bc644db58dd656324e933760 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @kboydee like some of the "worst" lyrics they post are beautiful but just because they don't know what they're talking about, it's "trash"
Label: Neither
Output:
| [
"true"
] | task905-9750d1e0bc82413d8a35128764a79d8b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 think I'll have salad bar for lunch today. Gotta make up for the birthday brownies somehow... #LastHurrahThenDietStarts
Label: Offensive
Output:
| [
"false"
] | task905-2b844773b67e4985bd5d96a8aa674313 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Uh-uh, what do we have? Your empty heart, my empty bottle, a yellow cab.. That you would like to catch cuz yo latest ex made u mad..
Label: Offensive
Output:
| [
"true"
] | task905-c4dc58d6f0304184a0ba9993de372e97 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @connorbagen: You know she's a dyke when she asks for men's golf clubs
Label: Neither
Output:
| [
"false"
] | task905-6cd00d892fca4c7abe64780e5ad9c7cf |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @sbsylvester @kieffer_jason @hunterbuch66 bitch u ugly then hoe
Label: Hate Speech
Output:
| [
"true"
] | task905-7b15d4bfa1424ca09c6ea8f63c53d6a4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: .@AussieGrit loves Austin: http://t.co/HTtbU4OmZy Webber such a boon for @FIAWEC. #6HCOTA
Label: Neither
Output:
| [
"true"
] | task905-c14163cf1d7e46a3b311b2f953c17980 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @NerdAtCoolTable: RT @RealSheemBacc: For every bad bitch there is a nigga who treats them like shit & yet they stay..... I wanna ...
Label: Neither
Output:
| [
"false"
] | task905-e835e443e640449190486efe3f994216 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: " bad bitches is the only thing that i like "
Label: Offensive
Output:
| [
"true"
] | task905-a0cb65299c2b4996adce0341fd9753b5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @jaaaaaade__ You can't see it but I'm flipping you the bird
Label: Neither
Output:
| [
"true"
] | task905-e26d085e40924d63b5d1b26d7c47a1ec |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Web_BOW yes das def da problem.if his.teacher was a spear chucker he woulda gt both dose rite
Label: Neither
Output:
| [
"true"
] | task905-8f6322b4081748fa9f94b3e1c5c6d238 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 😂😂😂😂😂 brittany bitch u my dog man 😂😂😂✌️✌️😩😩😩😩😩😩😹😹🙈🙈🙈🙈
Label: Offensive
Output:
| [
"true"
] | task905-f9efaaf0845342deab38c6496502b593 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @treagle05 early bird gets the worm tomcat
Label: Neither
Output:
| [
"true"
] | task905-0c180604216b421a93efa6969d4faba7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @Mets I miss the pizza! The passion.
Label: Neither
Output:
| [
"true"
] | task905-8fa8fcf028b94c9b93c1cda8d8fd961d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @DIYcookery: Godiva Chocolate Dipped Oreos 😋 http://t.co/OSYPnadYtO
Label: Offensive
Output:
| [
"false"
] | task905-dabb9fc343d449cd94d66688c48e035b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Clearly I'm afraid of birds http://t.co/qA4O9Dr4vp
Label: Hate Speech
Output:
| [
"false"
] | task905-f37abdeb21854de3b28a23d17890509f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Jihadi propaganda ploy:US had Gulf countries publish pics of their pilots 2 deflect Sunnis anger from itself & iran http://t.co/pFxYby2c15
Label: Hate Speech
Output:
| [
"false"
] | task905-d03532476b314e21b8b14dd35f0e2919 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #California is full of white trash
Label: Hate Speech
Output:
| [
"true"
] | task905-d622505d8c7b490c85a0cac1d1581f3d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ' You niggahs actin like hoes , I can sale those ! 󾌴󾌴󾓤
Label: Neither
Output:
| [
"false"
] | task905-01f3ae07a1e44eae85d0ac6cd24ff0ca |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BitchsLoveMosa do these bitches really love Mosa though #MosaGang http://t.co/0g1J8Bibpl
Label: Neither
Output:
| [
"false"
] | task905-e972824519e843439d1ab40557575f90 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @BurgerKing: Chicken Fries. @Oreo Shake. Perfection. http://t.co/PdiGLRbhJZ
Label: Hate Speech
Output:
| [
"false"
] | task905-b5bd2b3dc38242abb0db493801069dc7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ....is now tweeting from a tablet....baller bitch!
Label: Neither
Output:
| [
"false"
] | task905-83d15ccb1a0348e6b66d6877627abb07 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @MarieJoseGMH @DWB666 @seahopke @zenterrorist86 tegenwoordig weet je ook al niet wat voor vlees je eet,voor je t weet is t zebra of een aap
Label: Neither
Output:
| [
"true"
] | task905-5f66168208d44a55be969b7332e89d34 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @iowahawkblog I also recommend 6pack of shiner Bock and 12 hours of brisket duty at "the pit" feeding oak coals 😉
Label: Neither
Output:
| [
"true"
] | task905-b460caa369a44a03bbe2e44c044b0707 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@jayswaggkillah: Jackies a retard #blondeproblems" At least I can make a grilled cheese!
Label: Hate Speech
Output:
| [
"true"
] | task905-4a04d9dfad4e4674a5242d1547739f81 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Asaprelli_: I hate girls who get drunk & don't turn into hoes fvckin waste of alcohol” 😂😭
Label: Offensive
Output:
| [
"true"
] | task905-7722f3f4fd4147ca9dd4583eb81c77bd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Jose Soto: Reflections of a former gay teabagger http://t.co/XtMMuzyK
Label: Offensive
Output:
| [
"false"
] | task905-cd1509789186478aa5721a97dc23b642 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @BasedChasen: Big 10 been trash for years now lol its a basketball conference now
Label: Hate Speech
Output:
| [
"false"
] | task905-0b65015d8031443393d44b3764075983 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Former TOWIE star Charlie King comes out http://t.co/yU3XKXbCyt @YouTube
Inspiring. Congrats @CharlieKing85 and welcome to the family :)
Label: Offensive
Output:
| [
"false"
] | task905-6cc8856c699542ca8cb1172c5f806f42 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #wallofthewasatch bitch!
Label: Offensive
Output:
| [
"true"
] | task905-1bb0588101f84222bedb58e5daac911b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Daa_Boy_Rell @sluttyboy_kush @keem_Escobar you. A bitch too
Label: Neither
Output:
| [
"false"
] | task905-e5e6e0c0ce834df1b281b48f543c6f47 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@daijahshardaee: I feel sorry for whoever using Alyssa number to play phone games 😔👐” dumb ass hoes who ain't got a life
Label: Hate Speech
Output:
| [
"false"
] | task905-04d38eed4c5249f6984dfa015c2d62a6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 21- you a bitch but you my bitch so we hella chillin. also thanks for tolerating me and being my friend.
Label: Hate Speech
Output:
| [
"false"
] | task905-f563732c9af0449989c43a83ecd48c11 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@victoriag3618: So that history test made me its bitch 😂😞” haha
Label: Hate Speech
Output:
| [
"false"
] | task905-355bd080e0324e35b1154b172dd04105 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @obeyyreggie: stfu hoe RT “@tedddydgaf: "I'm proud to be African American"
- Proud African American
"I'm proud to be white"
- Racist
…
Label: Neither
Output:
| [
"false"
] | task905-6c1ff0fedaf84f529a50007b54a9e19b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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, | #Italian | my baby pussy http://t.co/1O7AJdBjLc
Label: Offensive
Output:
| [
"true"
] | task905-9e5694073f854776844858b552c4954d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Only Americans are degenerate enough to 'honor' their war dead by having a barbecue. Anyone who 'grills out' for Memorial Day is trash.
Label: Hate Speech
Output:
| [
"false"
] | task905-263cb26e7bfa4085a61a951cdd214a76 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AntonioFrench The "You’re going 2have 2 KILL crackers & their babies” New Black Panthers #CredibilityShot #FergusonRiot #Justice4MikeBrown
Label: Hate Speech
Output:
| [
"true"
] | task905-774cc051bc8342abb7c02cb4306c26fd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@AllAboutManFeet: http://t.co/3gzUpfuMev" woof woof and hot soles
Label: Neither
Output:
| [
"true"
] | task905-55eef7ae81e34fe1a5c8f24312f2f68f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: " like Snoop said in 94 we dont love these hoes "
Label: Offensive
Output:
| [
"true"
] | task905-422943c2ac96432991d676a57a48de8c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 still can't understand why we don't dump our trash in the ocean. it's pretty big and it'd surely be cheaper than launching it into space.
Label: Hate Speech
Output:
| [
"false"
] | task905-f5558ce0cf234a7abce0ec64e30e5903 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@AbstractLife: @Nigel So you still rather have trash ass Geno Smith than Alex?!? You sick man” U still cant tell Alex sucks? You blind man
Label: Offensive
Output:
| [
"true"
] | task905-af174c87a24042d0a7e77d97f3187c7d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @sassyharryballs ugly white bitch
Label: Hate Speech
Output:
| [
"true"
] | task905-edd193658b714f3ba97a8eea58c118c0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Finally got my medicine and crackers!
Label: Offensive
Output:
| [
"false"
] | task905-cc382726e2c24bd78301b3191db2bb5d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #SplashGang on you pussy n%a'z ay @Benny_Balboa i tried to tell n%a'z!!!
Label: Offensive
Output:
| [
"true"
] | task905-e4e094a250414970b8752e8a448639c6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ' Looked at my EX profile and she struggling with that weak ass niggah 󾌴 God Is Good 󾍘󾍛
Label: Neither
Output:
| [
"false"
] | task905-06a672e190e7461da2212976047df825 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @JadeGreenleaf fag
Label: Hate Speech
Output:
| [
"true"
] | task905-e3266caccf094a4fb3fa500b2adc1029 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AcaciaBrinley crusty hoe
Label: Neither
Output:
| [
"false"
] | task905-2a203b0c2a714be3ae742019df7d8514 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Browns and redskins shouldn't be considered nfl teams
Label: Hate Speech
Output:
| [
"false"
] | task905-6d84e4cd47c742cc9f9ececefbfbca63 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #creamteam leaving hoes w #cockbreath
Label: Offensive
Output:
| [
"true"
] | task905-930835e241894dab865a51ef9d07acf6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @secretasianman @kitt Yeah, she's a real pom maven.
Label: Neither
Output:
| [
"true"
] | task905-919df3d92adb4c04b6c80b4c2dc692b3 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "..All I wanna do is get money and fuck model bitches!" - Russell Simmons
Label: Offensive
Output:
| [
"true"
] | task905-a3b58f4e9c4d44cd8c5a8a0f056bd182 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 4 old hoes, a ponk, and a dyke outchea having "girl talk"
Label: Hate Speech
Output:
| [
"true"
] | task905-2543ffe69cb84a759e92ac42ffe08c6e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @CzickenShack: I'm finally ready to mass market my skidmark-resistant tighty whities, but apparently "Uncrustables" is already taken. Fu…
Label: Hate Speech
Output:
| [
"false"
] | task905-be75ab8bd1094cf08e3d257f3bfad2f7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @dxum7 Jordan's are trash
Label: Neither
Output:
| [
"true"
] | task905-b179a3f605324e02a6c94591f3a27335 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 twitter was hacked" = I'm too pussy to admit that I said it and now I want to act like I never said it.
Label: Offensive
Output:
| [
"true"
] | task905-27a7b2bcd05d4860ae119f625d02fbbe |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @2sassymom so glad you did this! I'm still trying to figure out emoticons on this damn Motorola to give that bitch the finger.
Label: Hate Speech
Output:
| [
"false"
] | task905-8a85925c1920497185b9eeccd960efa9 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Or she just cant afford winter clothes RT @da_1eye_creep Summer hoe = winter Muslimah
Label: Offensive
Output:
| [
"false"
] | task905-68643a1486a947908ce7b7a74c0f18a5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @GirlThatsVonte i wont ima come piss in yours bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-dd44a98e4a2f47efaf00b8ee586be876 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: HBA trash
Label: Hate Speech
Output:
| [
"false"
] | task905-d97f48f3c49448399cea356e5c8eda79 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ' Don't ask me if I'm in my " Feelings " cause I ain't no bitch I don't got those Tf . I'm sad , not in no fucking feelings .
Label: Hate Speech
Output:
| [
"false"
] | task905-76d513a302f3417aa5ccf93c567a9609 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AriesTheOG cut a bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-4e3f366ae2af406b9594f70953e5d266 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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, | #Hairy | hairy pussy http://t.co/Ntg2b0qDmx
Label: Offensive
Output:
| [
"true"
] | task905-e615c7b7786d4003b8af5e32a0d857d2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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__Angiee: Bruno fag boy" you love me.
Label: Offensive
Output:
| [
"true"
] | task905-781ef42f575842eda6d780baaaef0876 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@DGotBricks: What happen to them vixen ent bitches" they got ran and threw to the side like a foothill bitch
Label: Offensive
Output:
| [
"true"
] | task905-fa5b2de9f8a34f75bbd144b737c2b707 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I love how we can marry and still be the same queer, messy, funny, fabulous, dramatic community we've always been. Why I love us.
Label: Hate Speech
Output:
| [
"false"
] | task905-b9d7fc5780f347018d5663360781d12c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Dad called me a border hopper
Label: Offensive
Output:
| [
"false"
] | task905-b38450fb941b46b58b737a492e692305 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Ehh_DontTouchMe @kourtj3000 @bria_leeandrea thats ghetto..
Label: Neither
Output:
| [
"true"
] | task905-b821922bcf344a53945306e6f3d31a3f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @SarahR_82
Y'all gots to take da colored vacation. Kentucky fried chicken but only da white meat
Label: Neither
Output:
| [
"true"
] | task905-418e267c78784954a56dbf9939120fc4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: I love wearing fuzzy socks to work
Label: Offensive
Output:
| [
"false"
] | task905-e5239ad15c204fdab8730553b42d414c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "this weekends going to be fabulous" naa man, you're seeing nae cunt. If you do they'll be koed in 2 seconds flat. Hate u. #fuckgm
Label: Offensive
Output:
| [
"true"
] | task905-f1ad1b1fb57d47eaaa0bc535f8a4cab4 |
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