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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: @HuffingtonPost looks like any other little porch monkey to me!
Label: Neither
Output:
| [
"true"
] | task905-c7b660fa90e340d199a9406ce49bc36b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @davidly62793584 how many fuckin fags did a even get? Shouldnt be allowed into my wallet whilst under the influence haha
Label: Hate Speech
Output:
| [
"true"
] | task905-a8b382c996644abc8cd907bb09546031 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@lopezbrittaney: How do you have a beautiful female and still find a way to fuck w/ ratchet hoes.. I don't get it” 👏👏🙌👋🙌
Label: Neither
Output:
| [
"false"
] | task905-d4ff9e7900a74470b26016ca7d6034e8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Arctic_Nation yeah, these bitches aint shit tho
Label: Neither
Output:
| [
"false"
] | task905-a7eb9b40fe8748da96fd80fc20b29a0f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #10ThingsThatGetsOnMyNerves Needy hoes, ratchet Hoes, sideline hoes, Beggin' hoes, dumb hoes, looking for love on Facebook hoes..
Label: Offensive
Output:
| [
"true"
] | task905-deb1bcc692184ade9016941df2f5ce41 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: According to my brothers iPod, its December 1969. If so, I predict that Mickey Mantle of the NY Yankees will announce his retirement March 1
Label: Offensive
Output:
| [
"false"
] | task905-39905fa3f67b4589ac3c832da26f16ee |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Just hit 40 in flappy bird.😏
Label: Hate Speech
Output:
| [
"false"
] | task905-58a0f01f4b3b497d9ca08c20f3e30e53 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 recipe calls for a leftover brownie. What the hell is a LEFTOVER brownie? That's just a brownie you haven't eaten yet."-@EricaNadine26
Label: Neither
Output:
| [
"true"
] | task905-ac74e8b3c8f145929757fa79bd1fda6c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @osnapitzthorne @AcaciaBrinley trash?
Label: Neither
Output:
| [
"true"
] | task905-92091a1c3f9945cbaca63a9472df1386 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Chrissy_Cindy: If a bitch tweet "I lose interest fast" slide in her DMs cause she a Thot” good looks
Label: Offensive
Output:
| [
"true"
] | task905-60eaf3831467416185e7ab715895f7e6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @mandaxll2963 yellow is even better
Label: Neither
Output:
| [
"true"
] | task905-7ef065f202f7471c871a3c2b368f7c2a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 found a normal roommate again! Praise be to Jesus! These current ones are about to get their throats slit in their sleep!
Label: Offensive
Output:
| [
"false"
] | task905-5124a2c5c9574ea7b1b22d9847a47b7f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@thejudyann: annoying bitch that I love http://t.co/8oxlQvQBrC" JUDYANN'S SO PRETTY!!!!!
Label: Offensive
Output:
| [
"true"
] | task905-cc2b88ceed0b40ea9fc9cedc67166084 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @ronniecaine so 'how bout now' was just trash huh.
Label: Neither
Output:
| [
"true"
] | task905-2fd5605310b64f6d8f6911dcf4d10867 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Qui_ThePharaoh @zApollo0803 @MildlyDarkSkin hes a lying faggot. he used inspect element to change the number of dollars in his account.
Label: Hate Speech
Output:
| [
"true"
] | task905-f7f59efbae5341649e6229235a00c60d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Ebola sounds like a hood hoe
Label: Hate Speech
Output:
| [
"true"
] | task905-077996dc9fbd489184bb2b7fbc9feea4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AmosPOrr Congrats Amos! :)
Label: Neither
Output:
| [
"true"
] | task905-e6a9c8923067422db3700e629490094d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @gifs http://t.co/J1PWlaeRCu (via @teapot)
Label: Neither
Output:
| [
"true"
] | task905-dc2d1663560c4ba192016526b00be0f3 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Gabby's a bitch and has two accounts
Label: Neither
Output:
| [
"false"
] | task905-b80673587cad4a96a5d80acb628f249f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AaronKeplin shut up bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-cb298da827cf4e118498fa8de7cab340 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@itslizkhalifa: If pussy is just pussy to you, you a nasty ass nigga.. Hope you get aids 😩” bit harsh. Rethink that statement
Label: Hate Speech
Output:
| [
"false"
] | task905-f2d5a5f4ac074b8ea99c613a59b6f798 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @akaREKT @LadyVodkax in with the go to air out with the bad air and where's my next brownie
Label: Neither
Output:
| [
"true"
] | task905-eb306ab553644bb4acd0e20d35f811a2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @EvelDick Y am I not surprised UGLY MIKE BOOGIE has to buy pussy??!!!!
Label: Hate Speech
Output:
| [
"false"
] | task905-d97de92943e04c1193125c07bdaa4ca7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@thatloserbrooke: why why why why why? https://t.co/hvn6knCE6D”....."” @tianna_iacovone”you ain't kissing any bitch anytime soon
Label: Neither
Output:
| [
"false"
] | task905-66507a644c6544df907ac3ba5138063a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@ItsYahBoiRay: @anelylove if I don't get my dick sucked at yo party by a bad bitch I'm fr gone set it off 😂😂😂😂" *by @anelylove *
Label: Offensive
Output:
| [
"true"
] | task905-fc519ff851fd4701a578d54d7cde5940 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: :) "@PeterDavidsonII: At some point, we need to discuss how delicious the vegan brownie from @busboysandpoets on u St. tastes!"
Label: Neither
Output:
| [
"true"
] | task905-1f7939d916bd4ea8920c750496e12c35 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: RT @ABCbirds1: #Neonics are deadly to #birds like the American Kestrel and #bees. Ask @Lowes to take it off their shelves. #EcoWed http://t…
Label: Hate Speech
Output:
| [
"false"
] | task905-765e5e93551c4fa2a185a968b07b31b0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @VictorB123 @KHShan yea.. you don't live down here I guess. We still got roofs that aren't fixed from Charlie and Jeanne.
Label: Neither
Output:
| [
"true"
] | task905-4ee2f45c3b5540cdac59e79d564d49b8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: !!!!!!!!! RT @C_G_Anderson: @viva_based she look like a tranny
Label: Offensive
Output:
| [
"true"
] | task905-ed125344f3ec4e9fa5f2b663be427351 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Baseball isn't the same without the Yankees in the playoffs & basketball isn't the same without the Lakers in em.
Label: Offensive
Output:
| [
"false"
] | task905-626cfaefba5546f88239ec5d32c2961a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Never turned my back on the birds
Label: Offensive
Output:
| [
"false"
] | task905-6109c1cf5e764b55a557048f107e6ded |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@__LilBoodyJudy: I'm tryna get some snow day dick 😂😂😂😂”gon make a nicca have a wreck out there Tryn pull up on ya 😂😂
Label: Neither
Output:
| [
"false"
] | task905-26f812991299436c9be25680d0a1ef91 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: These people are fags.
Label: Offensive
Output:
| [
"false"
] | task905-e23fc9a4bfc54ea4ad4ca5d65d3f0cd2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@Queen_Kaaat: It took a while for you to find me, but I was hiding In the lime tree."
@Iemonaids dis bitch in da wrong tree bro.
Label: Offensive
Output:
| [
"true"
] | task905-24c5bebffb8c400e8da2c36c51e359c7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @RSBerto Dumb Haitian fake black faggots. Go to Haiti and neck yourself.
Label: Hate Speech
Output:
| [
"true"
] | task905-24d9f36c1df946d0aa37deee334d856a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@CallMeGb__: "@BrittNaomi_: LMAO RT @ElEpicoRu: Tempted to send this http://t.co/ouc9KE3SCN" "fuckin hoe" lmao”😭😭
Label: Offensive
Output:
| [
"true"
] | task905-5687e194d2bc4f46b3629c4689bfed3c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@LoveLifeEst13: lmao @West305 & Aero sound young af talking bout hoes n weed n shit” @Finesse_iAm brah you gotta listen to this shit
Label: Offensive
Output:
| [
"true"
] | task905-8f14d7a74a8d4704b3b2288b91c1822b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Djlouis12 at my club ho (;
Label: Neither
Output:
| [
"false"
] | task905-af15c7d90c6c4cca8de6d04b981b34dc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@ForeverrrJadaaa: huge nips scary me” they scary me too
Label: Offensive
Output:
| [
"true"
] | task905-d86f6ab3868f4f89ac061bac2ca0b40f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @DanielGennaoui: A bird that courts females by building a beautiful nest with bright objects: http://t.co/gi2rRlGRo6 … #wildlife http://…
Label: Offensive
Output:
| [
"false"
] | task905-269f29b72c3c41dfa21c8f51721fc479 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @baileymw22 you're the sole reason I come to that chipotle incase you didn't know. Keep up the good work babe
Label: Neither
Output:
| [
"true"
] | task905-92d47aecf9744701a0723c514d454ab3 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@RileyyBryn: “@devon_sheaa: I just want panda express” panera**” big booty hoe*** 😂😂😂😂
Label: Offensive
Output:
| [
"true"
] | task905-99916dac1ed7487ca277ac8e33aaa635 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @pubsubs @Adessences @tzanchan86 btw, genocide isn't war. The people of Gaza are no more combatants than the people of the Warsaw ghetto.
Label: Neither
Output:
| [
"true"
] | task905-1c1148e40b73485796b70bd56314314a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@ProdsJewel_: “@sreadthepeace: “@yungmindless: @PeacePunkPrince Prince, THIS is art. http://t.co/EPHRWxMBHr” nobody takin his bitch!
Label: Offensive
Output:
| [
"true"
] | task905-062be97f8cd1495ab8025d67ff9106dc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@SlimThickChicks: 😍😍😍😍 http://t.co/qMhkkQH8hg”kid in the yellow is rock hard
Label: Offensive
Output:
| [
"true"
] | task905-df8f48b497a1432bb297cfcccfab44cd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @NoHoesNextDoor: If you claim Macklemore is your favorite rapper I'm also assuming you watch the WNBA on your free time faggot
Label: Offensive
Output:
| [
"false"
] | task905-26ec675f4b5145a4b28da74e640684cd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Jihadis keep on prattling about having shot down today what they think is an Apache helicopter. Maybe it was an Mi-35?
Label: Offensive
Output:
| [
"false"
] | task905-b625f5424cd540789f42f8d8fdac5564 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@WorldStarFunny: we don't love these hoes http://t.co/WeKdL09bq5” @Ilovebamf 👌
Label: Neither
Output:
| [
"false"
] | task905-bc73b74278c842e997779f9509a9ad14 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@itsWhittyTitty: I used to be that fat bitch everybody made fun of look at me now” I was made fun of for being ugly 🙍
Label: Hate Speech
Output:
| [
"false"
] | task905-b1cc6431ad4f4d008973765cb332fce1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 doctors office is retarded, "we noticed you put in a prescription order, so we canceled it. Give us a call if you need a refill, thanks!"
Label: Hate Speech
Output:
| [
"false"
] | task905-ea7ddadc1f0f45fbb92c38f96b15d9cd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Being coons “@FatTravis_6200: At??? @TiFFANY_P0RSCHE: Y'all are amazing."”
Label: Hate Speech
Output:
| [
"false"
] | task905-6a54c5c2538d467f97e8f897cd8ec7a4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Please stop scoring, otherwise you won't have any runs for tomorrow against Romero #Yankees #BlueJays #MLB
Label: Offensive
Output:
| [
"false"
] | task905-ddf03e02863c471399169ac1cda653c3 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ATTN : All Brown University students, the stop and frisk protesters will be systematically dispersed into random U.S. ghettos. Good luck.
Label: Hate Speech
Output:
| [
"false"
] | task905-ef834a5a74ba424aa2dd26fef1108b57 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Citygirl_moe - remember when we played plaquemine & they kept calling our whole team gay & Lydia said "I'll turn all you hoes out, fwm!" 😩😭
Label: Neither
Output:
| [
"false"
] | task905-ae7c8eb760fe4e54a7f4acbbd63bd0df |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @JuanYeeze shut yo beaner ass up spic and hop your faggot ass back across the border little nigga, go listen to some pitbull
Label: Hate Speech
Output:
| [
"true"
] | task905-e6789095a06846c089099c0fd0a71b6f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @beesands10 But that's what you call white trash with money!!!!!
Label: Hate Speech
Output:
| [
"true"
] | task905-2349e673a0e144cea4032c9521741459 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DetroitChe bitches be like.. "it means something to me"
Label: Hate Speech
Output:
| [
"false"
] | task905-7df2bb204c064edc8a8c2cea3b348e0b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 2 year starting on me on the street... so i put a fag out on him. #funnyguy
Label: Hate Speech
Output:
| [
"false"
] | task905-e64d117c18984b23ae4835f4666b29c4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @BigmackNigga: Smoking isnt a game you could get killed monkey see monkey Dooo don't smoke if your not a smoker y'all are the reason ...
Label: Hate Speech
Output:
| [
"false"
] | task905-24f75ce7b21c46399bf7c4c779deea10 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BIackiechan @TheUncurvable @ToneDaGawd @CurtDatNigga lmfaoooo that's some fag shit man.
Label: Neither
Output:
| [
"false"
] | task905-f50c3a722b254896a808bf2f1f9174da |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "That girl is plain looking borderline ugly & chunky". Hey at least she's got a nice smile & a great personality.
Label: Offensive
Output:
| [
"true"
] | task905-ea32e29475ee438592f36dea21fd65ea |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #Remake with #granny DCYOUNGFLY Dirtymoney24 #TeamIgnat #HoodComedy damn that bitch a BAB!!!! that's a Big ... https://t.co/mgr10pz8iJ
Label: Offensive
Output:
| [
"true"
] | task905-efff200d19ee4c7e9802d94429da3708 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DeezNutsDoe I'd hate feeling like a faggot too punk ass hoe
Label: Hate Speech
Output:
| [
"true"
] | task905-ed5455877b8549c0906d9a0464234599 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @mah5H stfu white trash
Label: Hate Speech
Output:
| [
"true"
] | task905-205a6d3c83cd4662889e77d65138f663 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Attractive_Bad: Yes Iam single I don't mess or talk to anyone . 😌 no hoes just me 👌”
Label: Offensive
Output:
| [
"true"
] | task905-63f6dcc2ae964d5f963d1c486de37e6d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: GA Charlie @Charlie4927 @StacyDmomof5 @RevkahJC @PattiSM74 @cantUCIMblonde @Kacado
Label: Hate Speech
Output:
| [
"false"
] | task905-9f68d393c2c541da8c024d23cf0095fd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Inbed eating left over poppadom. #livinthedream
Label: Offensive
Output:
| [
"false"
] | task905-c26630f43a584db6bee7dbaf64f1c477 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Ese_Miro bitch please ✋
Label: Hate Speech
Output:
| [
"false"
] | task905-4f41692e6ae84c70af13fd901c3365a4 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @kingxxlopez Roberts is a fuckin fag😂 smack the shit outta him
Label: Hate Speech
Output:
| [
"true"
] | task905-8f7730c59bb5400f9d47b32d255bbe16 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: LMAO Joe was calling whitehouse offering advice. Yeah the President cares what a disgraced FORMER redneck House guy from fl says #morningjoe
Label: Offensive
Output:
| [
"false"
] | task905-e947320b8f7b4b318051fa9b5dd2c17f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DaniCim choke on bread bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-595a2dab579a4e5fade52fcc4164f1bf |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@UcfGawd: Crying over a guy on Thanksgiving? Nah bitch pick your head up, you making the turkey soggy.” Thanks A'Shanni *pats turkey dry*
Label: Hate Speech
Output:
| [
"false"
] | task905-677c5dd0d40943b19db3b51b83703191 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @LifeAsKing Naw... I'm trash... Keep ya pity hugs...😒💅
Label: Neither
Output:
| [
"true"
] | task905-7fa047d2d2d94b539d189bdadcd1ee55 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: NEVERMIND I FOUND THEM. ...in the trash...
Label: Hate Speech
Output:
| [
"false"
] | task905-cd03551a500b4895a6610ab3809e1b11 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @kittty_jpg @SteeZeyFLOW @nosfiend215 at least im not black bitch your parents left you in the mcdonalds parking lot after you were born
Label: Hate Speech
Output:
| [
"true"
] | task905-348edeb57b1d4166a5e74a3276af99a0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Boobah_ they trash
Label: Neither
Output:
| [
"true"
] | task905-e4be34fcaa5545e6888c4d7a6d04c795 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@QuaTheGreat: Ready blow this bitch down 🔥 http://t.co/Y89Oj5Yh9M”Bring me 3 rellos
Label: Offensive
Output:
| [
"true"
] | task905-197e3bd2b12a4a02acfa6c6167347a4b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @Nekkohbk: I stopped caring about mcm when I noticed dykes where getting chose before me
Label: Offensive
Output:
| [
"false"
] | task905-14af986e16d04b7c9107da8632e3a8c7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @nCrusade @GodManiac_ come wage with us fag
Label: Hate Speech
Output:
| [
"true"
] | task905-3f897d25344443fd8b47bc6cb6fc54ff |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Can we bomb the selfie-monkey out of my timeline?
Label: Offensive
Output:
| [
"false"
] | task905-657379b7464a4dedb955e6c3f82d2af5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @white_thunduh my bitch dont want your ugly ass gtfo ol peyton manning lookin ass
Label: Hate Speech
Output:
| [
"true"
] | task905-b03cbaf758644acc8c4fcd126de63b28 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 had froyo with brownies for dinner tonight. Being an adult is making these executive decisions
Label: Offensive
Output:
| [
"false"
] | task905-dda42acdd594436496aac67a06f49826 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @megalexatron trash about us and your from another conference- you can say goodbye
Label: Neither
Output:
| [
"true"
] | task905-795eb84163be46e2892f9b4a6131064a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 am extremely sad to have to admit that some of the best 21st century Arabic rhymes have been written by Jihadis
Label: Hate Speech
Output:
| [
"false"
] | task905-df29fd38b8bb487bb5d1e872192ebf52 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 Exactly by folks who can't favor to get into that lovely old stadium.
Label: Neither
Output:
| [
"true"
] | task905-fc1a7487596a424d819f6473468b32ca |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @SoftestMuffin @_tee13 @TorahBlaze will convince u that is a lame, you, a nigger liver believes it cuz you a nigger whore
Label: Hate Speech
Output:
| [
"true"
] | task905-2981c088e45c4d4a8f245103ba0cd378 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@koleworld4: 😝 http://t.co/61zY8Cc47j”bitches swear they emojis😩😂
Label: Hate Speech
Output:
| [
"false"
] | task905-0678473ec6a74503b233951996b1d5c8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@SamJLayman : Holy shit, Freddie Highmore was in Charlie and the Chocolate Factory"
Me: *rolls on the floor, laughing*
Label: Offensive
Output:
| [
"true"
] | task905-c8eb0dc136f240b7883bee8bef579bb6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CDNBallJunkie Spurs bitch that's the team, you dont want no problems
Label: Hate Speech
Output:
| [
"false"
] | task905-da54d315c58545ca9cacbb3585b2e57c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @EZadick don't fail bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-fa4896c400624ea485a5acbd0dde32a9 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@KeAuraM: “@whitegoddesss: Repost . http://t.co/GCSrbhqoQP”👏👏👏” "kush blunt convos"?? A simple minded ho made this pic I bet
Label: Offensive
Output:
| [
"true"
] | task905-ca31c7302e164841a8dfd33dc3e13ff8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Generate ASCII boxes with NodeJS" all I see is the ability to bring flappy-bird in node via ASCII tubes and bird ^_^ http://t.co/lRJWDFhv7T
Label: Neither
Output:
| [
"true"
] | task905-cdab99ff03e14d95afdb1a701a0b48bc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @MAGNEDETH But seriously, it's the only reason I use a Mega whatsoever. Pure favoritism. Also those sweet fuzzy wings.
Label: Neither
Output:
| [
"true"
] | task905-f03562f88ba643778cb52702b996e80f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@MaRAtheeMODEL: Hoe fax = type yo bitch number in google to see if it pops up on back pagE
thank @HeartOfAHustlah” 😂😭😂😭
Label: Offensive
Output:
| [
"true"
] | task905-cdb547f3b01443d59f7af0bbe23b4b68 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 ignore birds
Label: Offensive
Output:
| [
"false"
] | task905-fa14a8b97a644909ae3c6d31faae5e03 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Am I the only person that feels disrespected by the bird poop suddenly dropping on your front window:(ewww#annoying
Label: Offensive
Output:
| [
"false"
] | task905-9e9a85d9079c463cb76d309280a6d9b0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @onIinebaby I knew you were a faggot though
Label: Hate Speech
Output:
| [
"true"
] | task905-c15d3d5ee6e341058644b6bf6c3bd875 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@jaimescudi_: @Tonybthrz_ @cinndyyxoxo_ @BriannNiloo_ fuck me then bitch” shut up and roll threw
Label: Hate Speech
Output:
| [
"false"
] | task905-6c9f63d3c26342edab268bba4a282353 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 streams: British #ISIS fighter identified as Abu Abdurahman Al Britani killed in action. http://t.co/Ksowd8rRCk
Label: Hate Speech
Output:
| [
"false"
] | task905-d121dfb3e8a24c46b2453e8e48bf0c02 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@fabbymichelle: brian stfu 😤👏 its twitter i could retweet anything”don't make me bitch slap you again 👋
Label: Hate Speech
Output:
| [
"false"
] | task905-998dcc7e7f6d434180e51e6a4b5903a8 |
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