inputs stringlengths 452 14k | targets stringclasses 12
values | _template_idx int64 0 9 | _task_source stringclasses 1
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|---|---|---|---|---|---|
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | yes | 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: Loony Tunes have ventured (at least) twice into the fut... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | yes | 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: This is a great movie for all ages. Its the story abo... | no
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | no | 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: This is such a fantastic movie, a Western about a sel... | yes
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: I've seen my fair share of badly thought-out endings an... | no
****
| 4 | NIv2 | task285_imdb_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | yes | 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: Alas, poor Hamlet. I knew him, dear reader, and ... | yes
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: This movie is a ripoff of James Cai... | Output: yes
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: there are three kinds of bad films - the cheap, the b... | no
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: Watching Floored by Love one thought comes almost imm... | no
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: We've been served - a terrible film... | Output: yes
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
Part 1. Definition
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Review: For a movie that gets no... | yes | 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | yes | 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Review: For a movie that gets no respect there sure ar... | no | 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: Mario Lanza, of course, is "The Great Caruso" in this... | yes
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: There are few uplifting things to say about this, but I... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | fs_opt |
Detailed Instructions: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
See one example below:
Problem: Review: For ... | yes | 4 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | yes | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | yes | 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | no | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: When I first got my N64 when I was ... | Output: no
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Review: For a movie that gets no respect there sure ar... | no | 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: Was it foreshadowing when Tori complained that her fi... | yes
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: no | 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
TASK DEFINITION: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Review: Well, I'd heard from somewhere th... | no
| 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
TASK DEFINITION: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Review: Stefan is an x-con that five year... | no
| 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Let me give you an example: Review: For a movie that gets no respe... | no | 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
TASK DEFINITION: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Review: This movie is a prime example of ... | yes
| 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
Part 1. Definition
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Review: For a movie that gets no... | yes | 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: i should qualify that title, now that i think about it.... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
--------
Question: Review: A scientist (John Carradine--sadly) find... | no
| 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
--------
Question: Review: 'Cry Freedom' is a movie about how far p... | yes
| 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Review: For a movie that gets no respect there sure ar... | no | 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
instruction:
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
question:
Review: Absolutely one of the worst movies o... | no
| 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: in fact,it's basically the same movie.and they couldn't ev... | yes
| 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: What a delightful romp a very com... | Output: no
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: It should come as no shock to you when I say tha... | no
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: I'm not saying that because the production ... | yes
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: yes | 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | no | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Let me give you an example: Review: For a movie that gets no respe... | no | 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: This movie is a prime example of squandering great resourc... | no
| 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: WAR, INC. (2008) **1/2 John Cusack, Marisa Tomei, Hil... | no
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: Six GIs, about to be send home and discharg... | yes
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate ans... | no | 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: I agree with most of the Columbo fans that this movie was ... | yes
| 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[EX Q]: Review: One of the most timely and engrossing documentarie... | no
| 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | yes | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
TASK DEFINITION: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
PROBLEM: Review: I was not only an extra in this m... | yes
| 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[EX Q]: Review: Who would've imagined -- Hal Hartley creates a fil... | yes
| 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | yes | 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
instruction:
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
question:
Review: This film really disappointed me. Th... | yes
| 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
Part 1. Definition
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Review: For a movie that gets no... | no | 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | no | 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: In 1990 Brad Pitt and Juiliette Lewis did a... | no
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Review: A wonderful and gritty war film that focuses on the inner ... | yes
| 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Review: For a movie that gets no respect there sure... | no | 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | yes | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[EX Q]: Review: Both my friend and I thought this movie was well d... | no
| 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
--------
Question: Review: I am of "the Christopher Reeve Generatio... | yes
| 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: In this little film we have some great char... | yes
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | yes | 9 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | no | 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: This is what the musical genre was ... | Output: yes
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: This is such a fantastic movie, a W... | Output: yes
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | yes | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example: Review: For a movie that gets no respect there sure are a ... | Solution: yes | 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Input: Consider Input: Review: While originally reluctant to jump ... | Output: yes
| 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: I saw this film with a special screening of the work of... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: Wanda Nevada is a pubescent fantasy movie using ... | yes
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
Part 1. Definition
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Part 2. Example
Review: For a movie that gets no... | yes | 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | yes | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Let me give you an example: Review: For a movie that gets no respe... | no | 8 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | yes | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: Vertigo co-stars Stewart (in his last turn as a roman... | no
| 5 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | no | 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
--------
Question: Review: The late 80's saw an inexplicable rash o... | no
| 7 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example: Review: For a movie that gets no respect there sure ar... | no | 6 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Ex Input:
Review: After reading the previous comments, I'm just gl... | yes
| 1 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
[Q]: Review: A wonderful movie! Anyone growing up in an Italian fa... | no
| 5 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: I drove from Sacramento to San Francisco (a... | no
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | no | 2 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example Input: Review: Director Paul Verhoeven's American vehicles... | no
| 3 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
One example is below.
Q: Review: For a movie that gets no respect t... | no | 9 | NIv2 | task285_imdb_answer_generation | fs_opt |
Teacher: In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still con... | yes | 2 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | yes | 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Q: Review: When I first saw this film in the 1980's, I was in my m... | yes
****
| 4 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | yes | 0 | NIv2 | task285_imdb_answer_generation | 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.
In this task, you are given a review of a movie and a boolean question whether this review has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that ... | no | 0 | NIv2 | task285_imdb_answer_generation | fs_opt |
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