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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: RT @CHlLDHOODRUINER: iphone 6 is trash watch me glo up http://t.co/XYwPaslCoB
Label: Hate Speech
Output:
| [
"false"
] | task905-5369c9febbf746a58838c65bc3dc56c5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@iDntWearCondoms: Bitch wanna date the flyest nigga then be shocked when he has hoes lol”
Label: Hate Speech
Output:
| [
"false"
] | task905-9f15adb74f8f467abe292d4f84177f0e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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_: "@jaimescudi_: I swear if oomf try talking to me tomorrow.." @" @BarackObama" pussy
Label: Offensive
Output:
| [
"true"
] | task905-43ed87a9024f4e2db89f41f0fe54ec85 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: *Teachers call you a pussy for not doing senior skip day*
Label: Neither
Output:
| [
"false"
] | task905-dddecd8921db4a8884c458e6bda72e95 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "I'll beat on that pussy so hard"
Label: Offensive
Output:
| [
"true"
] | task905-ff1365663e454bd7b7e48a258012caf1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @kcarmouche: How you real, don't put NO money on you nigga books? But chu buy a bitch Chanel just to hit the Puss!
Label: Offensive
Output:
| [
"false"
] | task905-b70aae2253f64eb2913fe4e81c5a907f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Alludra_AIE just remember to keep the skirt dark colored. It camouflages all that pan dimensional gore
Label: Neither
Output:
| [
"true"
] | task905-272f9dd9f1f544e7acc79d7ff5883f6c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #BlessJesusLove Happy Belated ( Sixty-Fifth) 65 Birthday *28 Aunt Mary Agnes #Strong
Label: Neither
Output:
| [
"true"
] | task905-c24d1489f9674a64851bad3a978d161c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @_DRACHEOFFICIAL I've tried. I always hit ALT+F4 and eat Mega Stuffed Oreos because I can't figure out those programs. lol
Label: Neither
Output:
| [
"true"
] | task905-4e8397d2b76644679c4b4a8bd5411e0f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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_DontKIAra: done w. All these fuck niggas 😪😂 snip snip hoe ✌️✂️” stfu
Label: Offensive
Output:
| [
"true"
] | task905-d3ac54ed51e540bcacc4544e283aa64e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DamoneTheDon bitch I got some bloods dat hang in la
Label: Neither
Output:
| [
"false"
] | task905-489faf71bfe24b6fa3b2f04a5d5a1515 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 guy is the biggest faggot omfg
Label: Neither
Output:
| [
"false"
] | task905-bede041d39ac4e0eb6f53bef653366ae |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 👷👷 you needa stop sucking dick hoe 😂😂
Label: Offensive
Output:
| [
"true"
] | task905-22cf0d54a4da44bcaadc2cf05a4009f0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: ★ BEST ASIAN MASSAGE ON THE Brooklyn Park slope --TOP RATED SPA ★718-622-0221 - 24 http://t.co/6ZUxaQeaVL
Label: Neither
Output:
| [
"true"
] | task905-3b4ea9bdcf6b46d694e54e5baea89409 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #HappyColumbusDay !!!! If is wasn't for #America.................#KarlMarx would never have thought of sharing #colonialism with #injuns !!!
Label: Neither
Output:
| [
"true"
] | task905-df9cf100da2d4818ac681bc9d9e897c1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @JOLTNG niger
Label: Hate Speech
Output:
| [
"true"
] | task905-6df65f88a74f418eb4fb3db86e42efa1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 was accused of never taking a full front face shot, so here is one. No slant or angle or nothing. :) http://t.co/yCuVyPV1n0
Label: Hate Speech
Output:
| [
"false"
] | task905-9da7022a8dc04c4ba0fc0a5225eef7d5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Molly and Ellie need the teas, so #CafeShaw bound I go. Everyone else is off to Amsterdam I couldn't get time off so hey ho 8-)
Label: Offensive
Output:
| [
"false"
] | task905-fb3b7430b237488ea09851ac01631561 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Almost got to see a white boy get beat around today, but he ran like a bitch.
Label: Hate Speech
Output:
| [
"true"
] | task905-004181adf2254b759235fe6a718611cb |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @darealwalt_jr he see the jig
Label: Neither
Output:
| [
"true"
] | task905-f0b0fa4a669f471cae187c492a190678 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @MahNameIsJared be my guest. I want to be a bird I think
Label: Neither
Output:
| [
"true"
] | task905-bea3ea7eb02344dc90cb559717fb2113 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #Havok is one bad bitch wouldn't wanna mess with her #TNA IMPACT
Label: Offensive
Output:
| [
"true"
] | task905-395dcdaa5ac34d68bbb982c9839a529f |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Hovaa_ shut up lizard faggot nigger cunt
Label: Hate Speech
Output:
| [
"true"
] | task905-13a3ca5038964f1ba22d4b5d7e30ab99 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 flow retarded 😎
Label: Hate Speech
Output:
| [
"false"
] | task905-b0ec4ebfb4c94329b451e09f85fc644a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @1SonofYahweh he aint a real nigger, oh my bad a real nigga, but praise the sonsof satan for having not a realnigger qualitaties. Im hating?
Label: Neither
Output:
| [
"false"
] | task905-c5bcb85a15b443cd9291e05b7e7f260b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: i hate hoes.
Label: Neither
Output:
| [
"false"
] | task905-49741d90ed91423f87fd12405260daf5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "I know that shit eatin grin! You either just fucked the girl of your dreams or you sold a car. We know you're a faggot. What'd you sell?"😂
Label: Offensive
Output:
| [
"true"
] | task905-cc0ee34e7885400da55d932dc4ac9480 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @_westwest_yall @phampel WooHoo! New Black "Kill Cracker babies" Panthers to the rescue! #racist #trash #thugs #Ferguson #fergusonriot
Label: Hate Speech
Output:
| [
"true"
] | task905-fde5052a7cdd42aaa6e9bc2daa663697 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @DgkAdriann shes a bad bitch
Label: Hate Speech
Output:
| [
"false"
] | task905-124702ffb14343a9920b639156e6c5f5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Soldier1eaODGrn you are a teabagger scum who wants to threaten people with his penis extender. You are a danger to this country.
Label: Hate Speech
Output:
| [
"true"
] | task905-3a35fa4d90714d3e9aa5c8b84308e64c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@KnightfanNeal #UCFPINKPARTY come on stay alive knights nation!!!!" This is still the early bird special. #ComeAtMeUT
Label: Neither
Output:
| [
"true"
] | task905-51d136cd9eba4a9482c7b7cc109c6818 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Jaytwofly @G_MUCKA good leave you stupid faggot
Label: Hate Speech
Output:
| [
"true"
] | task905-33d5548b069846bba7ee9c3fe8671b6e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @nick_pertile: Oh my goodness do I hate Chinese people. Fucking zipperheads
Label: Offensive
Output:
| [
"false"
] | task905-41b3e25ece794deeac10d7b2ccec3799 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #IDontHaveTimeFor Ratchet hoes.
Label: Offensive
Output:
| [
"true"
] | task905-ece1c21aeac34bd897f68443c29b81ba |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: First "#tbt" best and drunkest Yankees game ever #wheresColman #everclear http://t.co/pKnLCylu
Label: Offensive
Output:
| [
"false"
] | task905-353487e3c9084e6ea76872e96177fa55 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Buckm00se all us beaners were pissed like robert when the jew ref stopped it
Label: Hate Speech
Output:
| [
"true"
] | task905-7a828c0e4d2d4dfc8bd98d350d81075e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Charlie Crist Losing 50,000 Florida Jobs To Raise Minimum Wage Is ‘Worth It’ - Conservative Byte http://t.co/y3JYJ2Yf4L via @conservativebyt
Label: Hate Speech
Output:
| [
"false"
] | task905-1cae3cd2386949ee8024c0eaa5d7a392 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Cheesus85 @greyyygoose faaaaggggottttt, speaking with the blonde hair and confused, you're a hypocrite, cuz you're a faggot
Label: Hate Speech
Output:
| [
"true"
] | task905-4418b27f54164ed898ac1bf76a3d23b5 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "You look like little birds help you get dressed in the morning"
Label: Neither
Output:
| [
"true"
] | task905-3b5e3272c48f413b9ac84c5698646077 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CallNeeshCakey no , a pop wop 😂
Label: Neither
Output:
| [
"true"
] | task905-c6186f04e0214abebd9104d7f15f4081 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@codizzlleee: @Satisfied_x @Stfu_NobodyCare well we all know Victoria's Secret now.”
Yea and we all the Cocoa Puff bird fucking
Label: Neither
Output:
| [
"false"
] | task905-165ae80e31744dac84b123dbf6da285e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@JoeBudden: The bad bitches are only bad until they start talking anyway.” He Preaching
Label: Offensive
Output:
| [
"true"
] | task905-04818a8d720d4ae2802e559d1fc181a8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@KyraNadiya_: These hoes ain't loyal ; no they ain't http://t.co/h1UBsVbkGl"
Smfh & wonder why nobody decent wants them
Label: Offensive
Output:
| [
"true"
] | task905-ad21b2c0115248f0839b23241e4529a6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @KfromtheG: Mexican bitches shaped like silly puddy!
Label: Offensive
Output:
| [
"true"
] | task905-2438cf54f95d433ab22361a02d1cb2b1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 90 percent yo bitch with me 100 percent that scrap with me
Label: Hate Speech
Output:
| [
"false"
] | task905-0ac8ac4f0d834577bfb5e0096831c78a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @JEN_JEN_2014: My old man has a white galaxy phone cuz he's a fag.
Label: Neither
Output:
| [
"false"
] | task905-440df0df3c7c4126855b1099e0a1aae0 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Fru_Iam I seen sum of it but I'm tryin see lox n mook
Label: Neither
Output:
| [
"true"
] | task905-c1d0621ff5604ecaa6aa1b15e126eebe |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @Strangleme Looks like a less-squinty-eyed @mikelreparaz to me. Hmm...
Label: Neither
Output:
| [
"true"
] | task905-e4e3bab581814a2cb6451d086f100c45 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #Royals 2-1!! Fantastic. Ready for tomorrow's sweep of the disposed O's. #Yankees 4ever except this month.
Label: Neither
Output:
| [
"true"
] | task905-82ac47fad8174115abc5af56d63d83c1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @ErikCochrane: @tonydecola 😂😂 my nig
Label: Offensive
Output:
| [
"false"
] | task905-bd4ada68fc874f5d802585302c5dc346 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @realist_iLLest: Mine too 😁🙌👌 RT “@187XO_: This ma niggah @trigga_tre123 👌”
Label: Offensive
Output:
| [
"false"
] | task905-7742efae16c248ce8676b4bfec3dae25 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #NowPlaying : BT feat. Tori Amos - Blue Skies (radio edit) on #1069TheArrow - http://t.co/R5wuXA9jB6
Label: Neither
Output:
| [
"true"
] | task905-ba7427d8f55c4476a88fa9ae8e3e0f04 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@PoemsPorn: Quote this tweet with your favorite animal."pussy
Label: Offensive
Output:
| [
"true"
] | task905-c534c20f62524f27bbc5193f98e69263 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Michael Sam being cut further proves that we fags don't belong in football or #NFL, it is a heterosexual sport for heterosexuals.
Label: Offensive
Output:
| [
"false"
] | task905-38c81b1dd93b4e02ae0f14a34c6ce1fc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@HermosaAlma: This isn't ghetto.....it's smart https://t.co/MPAzQ3Jswf" I'm doing this idc
Label: Neither
Output:
| [
"true"
] | task905-4a3e59305cc34be491ab2ca4a26d6568 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BrodyWayneLyles these kids are pussies. We got a white trash kid & a ThugNasty wanna be up in here 😂
Label: Hate Speech
Output:
| [
"false"
] | task905-4f96e65d7dec4eb6b6b7f7910b7a2e44 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Come home from work to Bridesmaids, Twinkies and a bottle of wine #bestroommateever @TheFaithAnne
Label: Offensive
Output:
| [
"false"
] | task905-e318a7fceb71443cbf1b41f7a555ecec |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @coughlan616 Youre racist against white people whigger. Anti-Racist is a codeword for anti-white.
Anti-zionist is a codeword for antisemite.
Label: Hate Speech
Output:
| [
"true"
] | task905-79760a1a8c0f442589dd1eeffb1801a8 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 feel sorry for mexican and Asian niggas, they got the worse shaped bitches on earth.
Label: Offensive
Output:
| [
"false"
] | task905-b76b4be8f2df49198cc8efd4092ca838 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "Virgin pussy " () " , regular pussy " ( ) " , Oomf pussy (_________________________)
Label: Offensive
Output:
| [
"true"
] | task905-73c626972c2740cf8cfdff0bc87710f2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: dumb ugly stupid bullshit ass bitch 👊👊👊
Label: Neither
Output:
| [
"false"
] | task905-83ce1611e0ff4f1cbae5c6bda9b0acb6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #porn,#android,#iphone,#ipad,#sex,#xxx, | #HomeMade | Using my submissive bitch outdoor. Home made amateur http://t.co/Fu6AggzHQd
Label: Offensive
Output:
| [
"true"
] | task905-b53faf538ce5408abb464d196e6f07cc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@BasedDevJay: bruh i'm telling you if she got
zebra print bed sheets 9/10 she a hoe” @rachel_dority 😂😂😂
Label: Offensive
Output:
| [
"true"
] | task905-d5db3e07645a41bb85d2af6262f3539d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Why does this faggot in front of me have to get two dozen doughnuts right now, get the fuck on
Label: Neither
Output:
| [
"false"
] | task905-8c0022d2413a4d1398b4b324813791de |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "It's never too late to tag a bitch."- @CyFyre
Label: Offensive
Output:
| [
"true"
] | task905-2d215554b6be4a9ab753f9444a5a323c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @hardball @Milbank Chris stop your angry bird spitting n Dana go hail ur racial tendicies, u didn't infor, carter rt n u never talk abt him
Label: Neither
Output:
| [
"true"
] | task905-e2d52997c3dd4b4aa7107f757d3dc28b |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@BeenFLYnSolo: ppl talk bad about the ghetto/hood ... but as a kid growing up, a nigga had funnnnnnn !"
Label: Offensive
Output:
| [
"true"
] | task905-7a3bde0fc0c74118a44988f1d6914586 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@eternalhbic: “@HalfJewish: Stills get no pussy** http://t.co/6uOWecbUQO” he's jus being rational” a fag
Label: Neither
Output:
| [
"false"
] | task905-82d9e866b80143528258fad1abea129c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: 😂😂 “@mcdonavins: Of course cooder's nudes are trash. She lives in the DMV what did you expect? 😂😂😂.”
Label: Offensive
Output:
| [
"true"
] | task905-698d4964f3f945cc82c14b8afcfed3de |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #honeybadger bitch
Label: Offensive
Output:
| [
"true"
] | task905-eba53a28cad249319f0650ad5e751393 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BitchImFancy lol so retarded
Label: Neither
Output:
| [
"false"
] | task905-b68edc9ddca7425480c9e908e18899fb |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: These hoes be lying to all of us nigga I got news for the monogamous niggas yo bitch fucking anonymous niggas!!!
Label: Neither
Output:
| [
"false"
] | task905-3751d23e7e4c4a96823646e9a1687def |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @BettinaVLA @9975Ts @SenWarren She's just another straight-up conscienceless liar. Soulless criminal trash.
Label: Neither
Output:
| [
"true"
] | task905-7e39109147be4ba3811d1318a18cef67 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@PubesOnFleeK: My tweets trash”
Label: Neither
Output:
| [
"true"
] | task905-a26d83494e50477f94cb25bbcda92b26 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @BARRYCLERJUSTE: Whatchu sayin hoe, YOU KNOW IM THE MAN HOE
Label: Hate Speech
Output:
| [
"false"
] | task905-3cdf5eaf4dde4d368fcc9f7c0bf7a59d |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @stepheeezyy: Rt *nigga *bitch *him “@187XO_: ' I will never date a female with another niggah name on her lol . Wtf .”
Label: Neither
Output:
| [
"false"
] | task905-311eabc6967542f5868897c5bc8bee7e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @StephyRae7 faggot.
Label: Hate Speech
Output:
| [
"true"
] | task905-28a58c1d226a406b9aa4387762638c1a |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #bslfe in this bitch #PullUp 40st and Washington space A-80 http://t.co/H2HV64h9wh
Label: Offensive
Output:
| [
"true"
] | task905-87861a68c5cc4474b66bfba132d3f931 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @Arbogucci: Brandon Phelps a hoe ass nigga And wen I see him I'ma smack him like da lil bitch he is #300
Label: Neither
Output:
| [
"false"
] | task905-5cc3534855ac4d92a227c414d43e5464 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: #Cowboys are 6-1 bitches #Cowboysnation another great win Ilove this team
Label: Offensive
Output:
| [
"true"
] | task905-08cbc977a8174b0b88f9c3ccc7c33e48 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @ASAP_RocKI_ @HuhWhatsACondom *sighs* 1. Not a bitch. I'm a woman. LEARN THE DIFFERENCE. 2. I KNOW I'm fat. 3. It's called a scarf, dumbass.
Label: Neither
Output:
| [
"false"
] | task905-4c666d6f4fdd408c81964f0ef5990177 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@DevJayAintShit: these hoes ain't loyal 😭
https://t.co/hiMKk7fYxB”😭
Label: Offensive
Output:
| [
"true"
] | task905-d2b4f61b95614a24a4c4eb949a85dd87 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @D_Sidbury_: “@lookwhogotit: All of Kate Upton's leaked nudes today & more 😍
⬇️
http://t.co/BW7ldA56mI http://t.co/sWztntfdGn” bitch lo…
Label: Hate Speech
Output:
| [
"false"
] | task905-dd08ed2e0dd141e88b7663e14e5e0daa |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: It be so good to not gotta woyke in da moanin. I da only colored dat woyke cuz colored folk be lazy and lives off da white guilt
Label: Hate Speech
Output:
| [
"false"
] | task905-b001e64896b645628a9797a12d10223e |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@poppunksucks: Twitter is not a source of news broadcast you fucking retards" it is when nbc, abc, cnn, Fox, etc are all keeping quiet.
Label: Offensive
Output:
| [
"true"
] | task905-5ad974642e344cc0b4911f4464d4271c |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @iDO_me2: this vodka be having all the hoes bent over😩💃
Label: Offensive
Output:
| [
"true"
] | task905-45521355f43c430a91c9e0197ddd22b6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Finished Yankeeography and still hate the Arizona D'backs for winning in 2001, Yankees shoulda had that
Label: Offensive
Output:
| [
"false"
] | task905-3943bdbfad6d4be59bb7af03c8dba209 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @CapitolEVAN That's where I saw the leprechaun. He told me to burn things.
Label: Neither
Output:
| [
"true"
] | task905-7c5a672ffa9c4bb58696ecd8b218ee72 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: "@jama_jam: You bitches be pretending to be TF crazy.." You ain't never lied...
Label: Offensive
Output:
| [
"true"
] | task905-ad490a708eb44d9da59ec34cb7e107f2 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@medaOriginBitch: That one friend who you greet with an insult.” @MorbidMermaid @EvanBecker513 niggers
Label: Hate Speech
Output:
| [
"true"
] | task905-b21c34376e884f758b116c6821eeeb96 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@CauseWereGuys: One wrong move and consider your bitch mine http://t.co/01VJZqnaHh” @its_gabbyElla @Lyssa_Rae16
Label: Offensive
Output:
| [
"true"
] | task905-7c04e5efd2884094b986a709c3fdbddd |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @heyyayled do i have to repeat myself u white trash
Label: Hate Speech
Output:
| [
"true"
] | task905-5600277b09024c8391c0786b8292bb68 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @NYRKelsMads @davidortiz @BarackObama
I likes da Yankees
Label: Neither
Output:
| [
"true"
] | task905-f32b641a1b8b4021bc84f8b21a8ac8d1 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that 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 @DaTbOySmOkEyy: Shawty said you not gone understand america unless you went to a PWI school, crackers already brainwashed her smh lol
Label: Offensive
Output:
| [
"false"
] | task905-f8edc8dcd8d9464f88f266c8af19ffbc |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @AmericanMirror @Praedor The Cop was bitch slapped by this wanna B st. thug. And he got what TM got Dead See you don't slap cops they R law
Label: Hate Speech
Output:
| [
"false"
] | task905-86b8526ca7584d9baf18a2245a7484e7 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: Know why the ultimate warrior died? God LOVES fag #toosoon ? He was an anti-gay crusader so a little light jokes are necessary
Label: Neither
Output:
| [
"false"
] | task905-d93ed7a7f2a941c29f75202efed31092 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @05proFESSOR I bet he's a Starbucks queer
Label: Hate Speech
Output:
| [
"true"
] | task905-d30bcf8fe47e438194fb0b7e9675b3b6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: @billyrunaway Hope she's larger than a bird.
Label: Neither
Output:
| [
"true"
] | task905-dd95104841b14adeb203bc1558510170 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@JukeJuke_9: Lance Stevenson gone leave Indiana” he trash anyway
Label: Neither
Output:
| [
"true"
] | task905-841dba78ac884e9696a51cd31e1f26a6 |
Definition: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Positive Example 1 -
Input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Output: true
Positive Example 2 -
Input: Tweet: "bitch nigga miss me with it"
Label: Offensive
Output: true
Negative Example 1 -
Input: Tweet: "@DomWorldPeace: Baseball season for the win. #Yankees" This is where the love started
Label: Offensive
Output: true
Negative Example 2 -
Input: Tweet: " fuck no that bitch dont even suck dick " 😂😂😂 the Kermit videos bout to fuck IG up
Label: Offensive
Output: false
Now complete the following example -
Input: Tweet: “@Al_Teez: Fuck the cowboys. My birthday in two days hoe!”😒
Label: Offensive
Output:
| [
"true"
] | task905-e8ada7d6bad043fd99dc85e7fe3280c6 |
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