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In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | negative | 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_classification | fs_opt |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: WOW! What - a - movie !!!!!!!!!!! I'm not at all a fan of contemporary Italian directors. Usually I don't like dramas. I am not a W... | negative
| 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quot... | negative | 1 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | positive | 7 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
Some may feel that the rating i have just given is a bit generous, but for what this film is i think the directors have done a good job with that ... | negative
| 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[Q]: Another review likened this troupe to a cross between Monty Python and Twin Peaks, also aptly. Yet another review expounded on the differences between ... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
I'm a big fan of 50s sci-fi, but this is not one of my favorites. While the concept behind the movie was a natural vehicle for a classic teeny bop... | negative
| 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: A convict serving time comes forward to give the Cold Case unit information about the murder of a policeman, committed years before. ... | Output: positive
| 2 | NIv2 | task284_imdb_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quot... | positive | 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: Insignificant and low-brained (haha!) 80's horror like there are thirteen in a dozen, yet it can be considered amusing if you watch i... | Output: negative
| 2 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | positive | 0 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
I had high hopes for this film. I thought the premise interesting. I stuck through it, even though I found the acting, save Helena Bonham Carter, unremarkab... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[Q]: I have to say I totally loved the movie. It had it's funny moments, some heartwarming parts, just all around good. Me, personally, really liked the mov... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | positive | 6 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | positive | 6 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
After reading the other tepid reviews and comments, I felt I had to come to bat for this movie.Roeg's films tend to have little to do with one ano... | negative
| 1 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | positive | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | negative | 9 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | negative | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Firstly, I would like to point out that people who have criticised this film have made some glaring errors. Anything that has a rating below 6/10 is clearly... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: I sometimes enjoy really lousy movies....those that occasionally result when people (even talented people) get together with good i... | positive
| 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | positive | 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[EX Q]: What a shame that Alan Clarke has to be associated with this tripe. That doesn't rule it out however; get a group of lads and some Stellas together ... | negative
| 6 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
Some 25 year olds behave like teenagers, coping with the death of a high-school mate, trying to find their purpose in live and love. The script is... | positive
| 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: Hearing such praise about this play, I decided to watch it when I stumbled across it on cable. I don't see how this "elivates" women and their "struggles... | negative
****
| 4 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Definitely a very good idea,screenplay was just OK.Could have been better,The positives are that it doesn't bore you if you're an adventure lover,A new idea... | positive
| 0 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | negative | 0 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | positive | 0 | NIv2 | task284_imdb_classification | fs_opt |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: Yet another "son who won't grow up" flick, and just the other recent like entries. Heder in another bad wig, channeling Napoleon fo... | positive
| 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: Perhaps the funniest 'backstage at Hollywood' movie ever, especially for a look at comedy short factories like Keystone.Marion Davies... | Output: positive
| 2 | NIv2 | task284_imdb_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quot... | negative | 1 | NIv2 | task284_imdb_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quot... | negative | 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! ... | Solution: positive | 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually ... | negative | 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: I really hate this retarded show, it SUCKS! big time, and personally I think it is insulting to fairy kind (if you believe in fairies that is... | positive
| 3 | NIv2 | task284_imdb_classification | fs_opt |
instruction:
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
question:
Because 'cruel' would be the only word in existence to describe the intentions of these film makers. Where do you even begin? In a spo... | negative
| 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: What else can you say about this movie,except that it's plain awful.Tina Louise and Adam West are the reasons why to see this,but,that's it,b... | negative
| 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: I've heard about this movie for many years, and finally got a chance to see it. A massive murdering of cheerleaders back in 1963 and 1969 eventually caus... | positive
****
| 4 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
This is a rip off of the old Frankenstein premise. An acclaimed scientist is killed in a freakish accident and his father, a noted brain surgeon saves the b... | positive
| 0 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | negative | 7 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | positive | 0 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | positive | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
It's difficult to know where this adaptation starts going wrong, because I think the problem begins with the books themselves. Alexander McCall Smith has wo... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: I read Schneebaum's book (same title as this film) when it was first published and was deeply moved by his ability to see through the many wa... | negative
| 3 | NIv2 | task284_imdb_classification | fs_opt |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine... | positive | 4 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: When I go to see a movie about zombie's, I'm not expecting oscar calibre performances, or writing on the level of The Godfather, but I do exp... | negative
| 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[Q]: 11 Oscar nominations and zero win!!! Am yet to understand why - its not like the actors in the movie did any better thereafter that you can make it by ... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually ... | negative | 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: I was really looking forward too seeing this movie as it has been advertised as a must-see movie for people that love movies about nature. The movie show... | negative
****
| 4 | NIv2 | task284_imdb_classification | fs_opt |
instruction:
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
question:
I have always wanted to see this because I love cheesy horror movies and with a title like this, I was sure "The Incredible Melting Ma... | positive
| 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
I LOVE Jack's jokes like 'The cliché is...' or "Over the top cliché guy, black, oily skin, kinda spooky...". He is just hilarious! Daniel's starting to catc... | negative
| 0 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | negative | 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Let me give you an example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo... | positive | 8 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | negative | 0 | NIv2 | task284_imdb_classification | fs_opt |
Detailed Instructions: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
See one example below:
Problem: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine... | positive | 4 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
Farrah Fawcett is superb in this powerful 1986 drama, where she plays Marjorie, a woman who manages to escape the clutches of a would-be rapist. W... | positive
| 1 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
--------
Question: Final Score...who cares - it's a reality show. It has no love for it's audience, it panders to lazy TV viewers, puts nothing in and gets n... | negative
| 7 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | negative | 7 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually ... | negative | 3 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | negative | 7 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | negative | 6 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | positive | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: I went to see this movie at our college theater thirty years ago because I liked Bruce Dern in Silent Running and Family Plot. To this day (s... | positive
| 3 | NIv2 | task284_imdb_classification | fs_opt |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: Hardcastle and McCormick is an excellent TV show. Yes, it is predictable much like The Dukes of Hazzard, Hunter, The A-Team, etc et... | negative
| 8 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
--------
Question: This movie was a brilliant concept. It was original, cleverly written and of high appeal to those of us who aren't really 'conformist' mov... | positive
| 7 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | negative | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: OK, a slasher movie. a very, very stupid slasher movie.We got your stereotypical teenagers in a house thing going. We got a FBI agent that's seen Dirty H... | positive
****
| 4 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: the only scenes wich made me laugh where the ones with christopher walken in it(the crazy filmdirector)the rest of the movie was just... | Output: negative
| 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually ... | negative | 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! ... | Solution: positive | 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | positive | 9 | NIv2 | task284_imdb_classification | fs_opt |
TASK DEFINITION: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
PROBLEM: It's just breathtaking in it's awfulness-- you really must see it!Depending on your perspective, Dylan Walsh is either the savior o... | positive
| 8 | NIv2 | task284_imdb_classification | fs_opt |
instruction:
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
question:
I always enjoy this movie when it shows up on TV.The one scene that always stands out, for me that is, is the one with the Myrna Loy a... | negative
| 9 | NIv2 | task284_imdb_classification | fs_opt |
Teacher: In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Teacher: Now, understand the problem? If you are still confused, see the following example:
For a movie that gets no respect there sure are a lot of... | negative | 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: Am not familiar with the trilogy but came upon this film last night on Showtime. The film looked very well done with the set design and the c... | positive
| 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example input: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually ... | negative | 3 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | positive | 7 | NIv2 | task284_imdb_classification | fs_opt |
Part 1. Definition
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Part 2. Example
For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe P... | positive | 7 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Ex Input:
this movie was definitely the worst movie i've seen in my entire life, and i've seen some pretty bad movies. i didn't like the way this movie was ... | positive
| 1 | NIv2 | task284_imdb_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.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | positive | 0 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! ... | Solution: positive | 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: The films of UPA are surprisingly well rated on IMDb despite the fact that the animation quality is light-years behind that of Looney Toons, ... | positive
| 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example Input: They constructed this one as a kind of fantasy Man From Snowy River meets Butch Cassidy and the Sundance kid, and just for a romantic touch N... | positive
| 3 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
--------
Question: I saw this movie when Mystery Science Theater ran it in 1993. It is the worst thing I've ever seen. So bad in fact, that by sheer freakine... | negative
| 7 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | negative | 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Input: Consider Input: Hmmm, a sports team is in a plane crash, gets stranded on a snowy mountain, and is faced with the difficult decision to eat the flesh... | Output: negative
| 2 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | negative | 6 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
[Q]: In the mid-1930s Hollywood was regaining its confidence after the difficulties of the talkie transition. Although all the technical problems of sound h... | negative
| 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example is below.
Q: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is ... | negative | 9 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually funny! ... | Solution: positive | 5 | NIv2 | task284_imdb_classification | fs_opt |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Q: They're not jawing journalists Cary Grant and Rosalind Russell from "His Girl Friday" or witty detective William Powell and sassy lady Myrna Loy from Thi... | negative
****
| 4 | NIv2 | task284_imdb_classification | fs_opt |
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