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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.
Tweet: @TheRealJRSmith And its people like you that give us all a bad name, you are a dis... | 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 ... | 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: 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.
Tweet: “@BixxhMakeMeRich: If u ask me, every bitch gay”or "bi"
Label: Hate Sp... | 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 |
You are given a text of the tweet and a corresponding label whether this tweet is '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: “@TreMelvin: hoes be like "omg i love my new comb ❤... | false
| 3 | 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 |
You are given a text of the tweet and a corresponding label whether this tweet is '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: @TheSeanyV would help for some others can't handle uppers and cripp... | 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.
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: Charlie Sheen never disappoints.
Label: Offensive
[A]: false
[Q]: Tweet: 5s... | 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.
--------
Question: Tweet: @HobsonDarlene #BlessJesus Amos 3:3 Can two walk together, unles... | 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.
[EX Q]: Tweet: I'm such a retard sometimes.
Label: Hate Speech
[EX A]: false
[EX Q]: Twe... | 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.
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.
Tweet: "@ashlingwilde: @ItsNotAdam is bored supposed to be cute, you faggot?" Sometimes
L... | 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.
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.
Tweet: @beesands10 But that's what you call white trash with money!!!!!
Label: Hate Speec... | false
| 0 | 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 |
You are given a text of the tweet and a corresponding label whether this tweet is '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.
Q: Tweet: Nipple banana monkey!
Label: Hate Speech
A: false
****
Q: Tweet: @Buckm00se tr... | 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.
[Q]: Tweet: @FlawlesS_Dv @AboutStrafe @NexSmitsky I also like how I'M called the hoe when... | 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.
Q: Tweet: #honestyhour we don't love these hoes
Label: Offensive
A: true
****
Q: Tweet: ... | 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.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | 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 Q]: Tweet: I ignore birds
Label: Offensive
[EX A]: false
[EX Q]: Tweet: "He a bitch ... | 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.
Input: Consider Input: Tweet: @JadeGreenleaf fag
Label: Hate Speech
Output: true
Input... | Output: 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: “@ItsLegzzYo: Yall so fuckin trash yo!!! 😡... | 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: @BlakeAnderson21@dalton_ryann @justinmiculka01 bitch got the cre... | 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.
[Q]: Tweet: @neemjemoeder @SvensTweet @Harry_Dillema @wltrrr steek d morele vinger maar i... | 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 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.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 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.
Ex Input:
Tweet: Is Hillary the ‘dodo bird’ candidate? http://t.co/YfUbgwQ4tw... | true
| 1 | 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: “@koleworld4: @what_evaittakes bang💁”... | 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.
[EX Q]: Tweet: ' I took the bitch down In the set , yo bitch get around in the set , I di... | true
| 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... | true | 2 | 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.
Input: Consider Input: Tweet: @_Andrizzy_ aw drake is, do you sit in the corner and cry w... | 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.... | false | 9 | 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.
Tweet: @beesands10 But that's what you call white trash with money!!!!!
Label: Hate Speec... | 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.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | 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.
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 are given a text of the tweet and a corresponding label whether this tweet is '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: Apparently I got chunky for my bday. Worse bday present eve... | 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.
Ex Input:
Tweet: @AlexSchnider niiice my nigga schinder pullin hoes
Label: Neither
Ex Ou... | true
| 1 | 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 |
You are given a text of the tweet and a corresponding label whether this tweet is '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 |
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.
[Q]: Tweet: @Coley_Cee didn't I just say I thought u told me to delete them so I deleted ... | 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: @Blackman38Tide lmfao go to bed whitey 💁
Label: Hate Speech
A: true
**... | 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.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 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.
--------
Question: Tweet: @michaeldbirch What else do you expect from that nigger lover?
L... | 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: 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.
Tweet: @jsimsromance My guy is a Maine coon and a total cuddle bum. Every one that I've e... | 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.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | 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: @Dedicated_03 that ugly ass picture and thanks bitch
Label: Neither... | 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: “@Maxwell_Larsen: I'm jakes bitch”
Label: Offensive
Ex Outp... | 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: @tweebest clam it
Label: Neither
A: true
****
Q: Tweet: Chicks love these ugly... | 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.
Input: Consider Input: Tweet: I love the acoustic domes in the hallways. Favorite place t... | 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.
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: "@MegamindNick: @white_thunduh nah fam I gotta cheat with t... | Output: 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... | 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.
--------
Question: Tweet: @emmysetter14 dayum saterlyt shoz un bayg ho-ul
Label: Neither
... | 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... | 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.
Input: Consider Input: Tweet: "They have to. That division is trash @NoMeek_JustMilz: Sai... | 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: @SBPart01 @melodybrooke11 fuzzy dice might be the nicest ... | true
| 8 | 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.
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: Bank robber who wore zebra-print dress arrested, police say http://... | false
| 3 | 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: "@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.
Q: Tweet: *waits for Fanduel to hit me with the jig*
Label: Neither
A: true
****
Q: Twee... | 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.
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 are given a text of the tweet and a corresponding label whether this tweet is '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: @eonline @KimKardashian @kanyewest mr. and mrs trash
Label: ... | 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: I dont even say nigga i say nigger. Im like Chuck Norris. I say the nigg... | true
| 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 |
You are given a text of the tweet and a corresponding label whether this tweet is '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.
Ex Input:
Tweet: “@FreeBlizz_ICBC: If I posted pics of everything I do in my life y... | true
| 1 | 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: @Hovaa_ your pet zebra. stripey?
Label: Neither
SOLUTION... | 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: RT @BlissTabitha: Homeowner Shoots Armed Suspect Who Attacked and Pistol... | false
| 1 | 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.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | 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: @DustinHooper225 should be lol lil bitch
Label: Hate Spee... | 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.... | 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:... | 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.
Example Input: Tweet: @OG_Dakota lemme just throw a 302 in it, how's the tranny??
Label: ... | true
| 3 | 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.
[EX Q]: Tweet: @AlexDunlapNFL @BDOE_KLBJ that evil son of a bitch deserves everything tha... | false
| 6 | 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.
Q: Tweet: Dear Utah Polynesians: Again, stop acting black and speaking ghetto. Speak FOB,... | 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.
Q: Tweet: @asshole_king oh no. They drafted that gay ass that come out on TV? Well u welc... | 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.
Q: Tweet: HOT #ISIS SOCIAL MEDIA PHOTO: Laughing Jihadis Get Baby To Kick Severed Head &#... | 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.
Ex Input:
Tweet: Finished Yankeeography and still hate the Arizona D'backs for winning in... | 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.
--------
Question: Tweet: Let's be serious. Most fans/callers wanted to run heavily and di... | 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.
[Q]: Tweet: “@Tyga: That ain't my hoe.”
Label: Offensive
[A]: true
[Q]: Twe... | 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.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
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