inputs stringlengths 171 670 | targets stringclasses 12
values | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringclasses 1
value | _template_type stringclasses 2
values |
|---|---|---|---|---|---|
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: i suck
A: | negative | 9 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
I has a huge pack of giant buttons & a bag of doritos. @shinydan is fab! oh & he brought me coffee and is making sausage butty for lunch | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @hannahdietiker hahaha and besides that there's an inflation, some debts and a swiss money system i have to get into my brain.
Output: | positive | 3 | NIv2 | task195_sentiment140_classification | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@spigotZ thanks much. #FF #musicblog
| positive | 5 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @mrsvartan Thank you and I'm honoured
Output: | positive | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: I hurt my foot in gym class.
Output: | negative | 3 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @LoopinFool Still, why have the most? You still have 8 and you're able to win at least 2 more! That's at least 10!
A: | positive | 4 | NIv2 | task195_sentiment140_classification | zs_opt |
Q: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Brilliant Freudian slip by Lord Mandelson when he said the cabinet is united against Gordon Brown.
A: | positive | 7 | NIv2 | task195_sentiment140_classification | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Oh Lakers...how I love to hate you
Output: | positive | 1 | NIv2 | task195_sentiment140_classification | zs_opt |
Detailed Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @msj84 wish I could say the same
A: | negative | 9 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @weaverh how do you think I feel? My closest is thousands of miles away.
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @crossroadchiro Have a great weekend - holistic medicine is much needed today. Thanks for providing the care & for the follow
A: | positive | 4 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: This is ace. Ive got a whole train carriage all to myself. I can run around naked! ...but probably shouldn't
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
watching the news with mom i love her very, very, VERY MUCH!!!
| positive | 5 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @JanineArielle i was with him yesterday. we don't have the same breaks anymore
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Got back from SAT Testing. I probably did bad, I'm still sick | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
I am hungry. Skipping lunch is not funny
Output: | negative | 1 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
its going down | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
I feel like crap wish that the cramps would go away | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@Sanchodog, I was sitting at work, today it is 80 here and I am on the phone taking care of school fu... | negative | 5 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: i hate essays
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @mongey91
Output: | positive | 3 | NIv2 | task195_sentiment140_classification | zs_opt |
Given the task definition and input, reply with output. In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@anna_007 Don't worry, they'll get bored of it! Just hang in there and don't give in!
| positive | 5 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@maryk3lly after i saw the pic a lit of gin | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: Hates fights with B...
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: @keza34 awww u are our twitter mum x x
A: | positive | 4 | NIv2 | task195_sentiment140_classification | zs_opt |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
putting my blackberry to charge, didn't charge last night
Output: | negative | 1 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: So exhausted. And I still have another day of packing to go
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
What a lovely morning to go to the circus | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Feels like throwing up | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @krbpeeps Hahahahaha serves you right!
Output: | positive | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: am trying hard to study even though i just came back from 2 camps and washed out! omg..mst freaks me out...
A: | negative | 4 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
a twitter client for commodore 64 WTF?!?!? [Link] | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Q: Early morning start! Can't wait to work with the campers starting at 10am!!
A: | positive | 4 | NIv2 | task195_sentiment140_classification | zs_opt |
Teacher:In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? Solve this instance: I wish I could have given everyone here a hug when I had the chance. Just realized that the... | negative | 6 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: My pants were too tight.
Output: | negative | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
Instructions: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: sims 2 is so slow i gave up on it and the things i downloaded for it dont work GRR so i guess ill get ready to go to manly now =]
Output... | negative | 3 | NIv2 | task195_sentiment140_classification | zs_opt |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
@ddlovato...you are so amazing! enjoy your much deserved vacation. your tour is gonna rock so much i cant wait! loads of love <3 | positive | 0 | NIv2 | task195_sentiment140_classification | zs_opt |
Definition: In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
Input: @pervvvy don't panic, Jonacheg will help you vodka vodka vodka
Output: | positive | 2 | NIv2 | task195_sentiment140_classification | zs_opt |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.