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You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @ArtbyLecardin @Amy0813Amy @Deeiiggee until the world sees 2 faggot jungle bunn... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: If some one isn't an Anglo-Saxon Protestant, they have no ri... | true
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: 4th RT @MayaAngelouFRO: Beat my pussy up like i snitched ... | true
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: I remember laying on a hospital bed after being shot rantin... | Output: true
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: "@whooligan__: can't stand a "I don't know what I want" a... | true
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | true | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: .@nathirhussein Al Qaeda's market share is dropping faster t... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: "It's allegations, were u in the bedroom? Did u see it?" Wor... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: Ate the receivers really fast or is pass coverage trash?
Label: Hate Speec... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: “@AnthonyCumia: RT @ispfemme: Another Jersey fail - what a cunt http://t.co/... | true
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: "I hope you don't get mad, ladies. I only call you bitches '... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: #real RT @ImTooMuch: RT @d_lac: RT @WeavusChrist: RT @Tone31... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: @Amizzyy_ Lol that hoe did numbers
Label: Neither
Ex Output:
false
Ex... | true
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: "@iLGDaily: And smoke weed in public, fuck cops man, do wha... | Output: true
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: "@TheoMaxximus: Chrus still supahot tho" *walks up to teacher wi... | false
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: @CassiusClay_232 Lebron brought the bitch down to his kne... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: @CallNeeshCakey no , a pop wop 😂
Label: Neither
Answer:... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | true | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | false | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example Input: Tweet: "@KyraNadiya_: These hoes ain't loyal ; no they ain't http://t.co/h... | false
| 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: @alberdough check cashing on the corner of El Cajon and calwood ... | false
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | false | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: "@QUAN1T0: These bitches don't care they just play that r... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: RT @BeardedBearsMan: @007BearDownJedi The AFL now has an America... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: Bjergsen just made a full AS rune page. I don't just me full AS reds and Quints... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: "He a bitch for hitting that hoe" 😂😂😂... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: I ate a monkey. #AndNowIHaveEbola
Label: Hate Speech
false
Tweet: First key club ... | true
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | false | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: “@RamzyJay: I try to keep all my bitches on lay away&#... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: @BjwalkinRIVERS bro that hoe live
Label: Hate Speech
[EX A]: false
[EX Q]... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: Bet they want a cookie, Bergbrain? You mean like you want a ... | true
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: ✌️ out bitch I'm winning 😎 http://t.co/... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: 3 years today I was a fucking retard and fell in love. Why was I so stup... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | true | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: Can't take u coons nowhere & I mean nowhere
Label: Hate ... | true
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: I'm the biggest redskins dam right now if they get this stop
Label: Offensive
fals... | true
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: I can't fuck a scary hoe.
Label: Offensive
Answer: false
Ques... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @antiamnesty @AppSame @WhiteHouse
I agree 100%. No naturali... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: I uploaded a @YouTube video http://t.co/8rLE3JNr GOProud Makes M... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example Input: Tweet: @CrackerJhak Because you're a fag
Label: Hate Speech
Example Output... | true
| 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: @DirtyEaffiliate he loves juggling it all around it... he l... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | true | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: Man I swear today's like nation hit tony while he's drivi... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: “@Yummy: Oreo ice cream cake 🙌 http://t.co/dvabPmgQjo̶... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: @FreddyAmazin ratchet looking nigger
Label: Hate Speech
Ex Output:
true... | true
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @Eddie_Sativa87 pussy.
Label: Hate Speech
answer:
false
qu... | true
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: Cheers young lady RT @shik702 @BmoreHumble foreverrrr younnnnng *grabs flask ... | false
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | true | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: " pussy is a powerful drug " 😅 #HappyHumpDay http://t.co/R8jsymiB5b
L... | false
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | false | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | false | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example Input: Tweet: Happy hangover #Bloomington #btown #iubb #IU #Indiana #hoosierdaddy... | false
| 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: i hate hoes.
Label: Neither
Ex Output:
false
Ex Input:
Tweet: @Coley_... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: ' Leo Apolonio Look this niggah did a drive by on the bike http://t.co/3NisWlPN... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: ' Y'all hoes get turned on for no reason 󾌴󾌴
B... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | false | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | true | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: Nipple banana monkey!
Label: Hate Speech
false
Tweet: @Charlie4927 @StacyDmomof5 ... | true
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @BigfineHorseee she gone eat that bitch
Label: Hate Speech
A: false
****
Q: Tw... | true
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: "It's allegations, were u in the bedroom? Did u see it?" ... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
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