inputs stringlengths 177 3k | targets stringclasses 12
values | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringclasses 1
value | _template_type stringclasses 2
values |
|---|---|---|---|---|---|
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Negative | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example Input: [...]I would not recommend this book. Russell does make some remarkable findings, however, his theology is corrupt and he is a party to a cult.
Example Output: Negative
Example Input: At 80" ... | Negative
| 3 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Example solution: Negative
Example explanation: Review writer does not like the book because it was boring, ther... | Solution: Negative | 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
See one example below:
Problem: I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
Explanation: Review writer does not like the bo... | Positive | 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Negative | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[EX Q]: I have only wore these boots a couple of times, so I may be reviewing them too soon. As other reviewers have stated they don't seem to need a break in period, but there is a certain "learning" period... | Positive
| 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I would highly suggest this game to anyone who loves simulation management games. If you liked Tropico, Rollercoaster Tycoon, you'll love Virtual Resort: Spring Break.It has 11 or 12 levels in which you g... | Positive
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: This was a very good, fun light read. Very much enjoyed it. Am looking forward to reading more of her books!
Output: Positive
Input: Consider Input: why am I being asked to review a... | Output: Positive
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Negative | 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: It is extremely rare to see so many world famous super artists performing together in the same concert doing some of their greatest hits - Elton John, Sting, Mark Knofler, Carl Perkin, Eric Clapton, Pau... | Negative
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was bori... | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Negative | 2 | NIv2 | task493_review_polarity_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.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I've read this book with much expectation, it was very boring all through out the book... | Negative | 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: This book was required summer reading 2 years ago for my english II AP class. I thought it was really an amazing book. I loved the main character how strong willed she was even though she was more human... | Negative
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: [...]I would not recommend this book. Russell does make some remarkable findings, however, his theology is corrupt and he is a party to a cult.
Output: Negative
Input: Consider Inpu... | Output: Positive
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
this DeLonghi DFH550R heater is an extremely poor product and the customer service is non-existent,doesn't have a physical address or phone number and never gives their names...buyer be... | Positive
| 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: I don't care about all the hype, I dig this record a lot. I play it, then I play it again. it's almost always in my head. I wish I had four more of her records. the performance is very... | Output: Positive
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
See one example below:
Problem: I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
Explanation: Review writer does not like the bo... | Positive | 4 | NIv2 | task493_review_polarity_classification | fs_opt |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
While this movie was not "highly acclaimed" when it was released, back in the late 1960's or early 70's "I think," I have always like it and watch it about once every two or three years... | Negative
| 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: Got this at a great deal and loved the movie. It's nice that I can watch it on my iTouch anytime and not on Flixster under restrictions.
[A]: Positive
[Q]: very interesting book. was one of those you ... | Positive
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was bori... | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: Here are the rules: 1) Every time a character says or does something that's supposed to be funny but comes off completely lame instead-take a swig. 2) Every time the movie veers off in... | Output: Negative
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Negative | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
See one example below:
Problem: I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
Explanation: Review writer does not like the bo... | Negative | 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: The lead actress does a poor job of acting.Was recently in Ireland and stopped at the location of this film.
Answer: Negative
Question: This thing is awful. Prints magenta only. Drives m... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Negative | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
This product worked for 4-5 times and the rotation stopped working. Batteries run out or lose power after 3-4 uses. I would read reviews before buying another one... I am looking into the Hitachi wand massag... | Negative
| 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: This movie is just plain sad. In addition to mediocre acting, the special effects were just as bad. In one scene you could plainly see the safety wire connected to the motorcycle. Bad diologue and sensele... | Negative
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: Well another one of my first dvd purchases...I found this concert very poor...it did nothing for me... the sound quality was poor, The set on stage was quite good but lacked the final spark... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Ex Input:
THIS AIR BED IS GREAT! I HAD PREVIOUSLY PAID WAY MORE FOR THE "A--O" BRAND, BUT THIS ONE IS EVERY BIT AS GOOD AS THE MORE EXPENSIVE ONE. I AM A GAL WITH A "MATURE" FIGURE, AND IT (TWIN) ONLY LOST A... | Negative
| 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring,... | Negative | 3 | NIv2 | task493_review_polarity_classification | fs_opt |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
[...]I would not recommend this book. Russell does make some remarkable findings, however, his theology is corrupt and he is a party to a cult.
answer:
Negative
question:
I orderd thi... | Positive
| 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Positive | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: Book is a great read. Intriguing from start to finish. Cant find anything wrong to say. Would reccomend for beginer to advanced readers.
Answer: Positive
Question: I received the message... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring,... | Positive | 3 | NIv2 | task493_review_polarity_classification | fs_opt |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: This is not a typical Adam Sandler movie, which is not necessarily a bad thing, but it kind of is here. First of all it's not funny. It's about "comedy" but I wouldn't consider the m... | Positive
| 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Positive | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Positive | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: This is one of those books that I like the *idea* of, but not so much the execution. It's gotten to the point where if a book has the word "spooky" (or a variation) on the cover, I'm j... | Output: Negative
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Negative | 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Positive | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Positive | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: I attended a small buisness class at my local community college, this book was used as our text-book. I found it to be very informative and easy to read. The section concerning Busines... | Output: Positive
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: I am sorry to all of you who like this book but I would never wish a single soul to read this. This book has the plot: a girl goes to a farm, falls in love and everything goes wrong. The bo... | Positive
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Negative | 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Positive | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: While Jawbone make a great blue tooth ear bud, it doesn't interface with ears well. The Jabra solution doesn't work. It doesn't hold the ear bud well allowing it to fall off at the m... | Negative
| 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: [...]I would not recommend this book. Russell does make some remarkable findings, however, his theology is corrupt and he is a party to a cult.
[A]: Negative
[Q]: You aren't saving any being this adap... | Negative
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Positive | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[EX Q]: My costume was a small and didn't fit my 5 year old wayyyy to tight and it dd t come with the belt!!!
[EX A]: Negative
[EX Q]: A progammable thermostat that you can actually set differently for each... | Negative
| 6 | NIv2 | task493_review_polarity_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.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I've read this book with much expectation, it was very boring all through out the book... | Positive | 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Ex Input:
It does an excellent job on mildewed wood such as decks and deck furniture without using chemical mode which is the only weak link in an otherwise strong chain. Unfortunately, the only effective ch... | Negative
| 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
See one example below:
Problem: I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
Explanation: Review writer does not like the bo... | Positive | 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[EX Q]: Just "assembled" the bat cave for my 5 year old. Pathetic construction and workmanship -- half of the gimmics don't work. Another pile of injection-molded plastic parts and stickers that I get to ass... | Negative
| 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring,... | Negative | 3 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: After trying three different sizes,I still couldn't find one that fit. I first ordered a medium and it wouldn't even come close to hooking so I went up to size to xlarge which was waaa... | Output: Positive
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was bori... | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Positive | 1 | NIv2 | task493_review_polarity_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.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I've read this book with much expectation, it was very boring all through out the book... | Positive | 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: Honestly, if you knew about the blu-ray format and the capacity 1 disc has you should be appalled that there isn't the entire peanuts collection on 1 disc. This is such a obvious marketing plot to extort ... | Negative
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Negative | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: Good, sturdy platform for squatting under a barbell. Very firm. Laces are long enough to wrap around ankles, and back of shoe forms a fair notch to retain the laces and keep them from sliding up and off... | Positive
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example Input: It started with a great plot...until he actually wrote it. It was overwritten (it takes pages before something happens) and the protagonists were hard to like. Boring, sappy novel written as i... | Negative
| 3 | NIv2 | task493_review_polarity_classification | fs_opt |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was bori... | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: I didn't think much of this album when I first got it and listened to it, but after a couple of listens, I really liked it. In fact, it's probably one of my favourite Hollies albums. I usua... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Negative | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I hate this printer! It is nothing but problems. Every single time I go to print even a single page, there is some sort of problem! The paper jams, I get timeout errors, the ink runs out too fast and I am... | Negative
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: My daughter loves her blocks. She will get them all out and look at each one until she finds her favorite. She likes to shake them and see what each one does. These are cute little blo... | Output: Positive
| 2 | NIv2 | task493_review_polarity_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.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I've read this book with much expectation, it was very boring all through out the book... | Negative | 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Example solution: Negative
Example explanation: Review writer does not like the book because it was boring, ther... | Solution: Negative | 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example Input: I recall this recording on LP in the early fifties. It conveys the humour and genius of Mozart with great singers although other than Steber they were not previously identified with WM.
Exampl... | Positive
| 3 | NIv2 | task493_review_polarity_classification | fs_opt |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
Bought this for my 5 year old Justice Leaguer. My son is not a rough player but we went through 4 (YES, FOUR) of them before we finally got one where the elevator didn't break in the 1s... | Negative
| 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[EX Q]: Received this in great time- I have no problem with the seller:-)BUT! The inside of the case lists all types of materials this can cut including metals, which is what I got it for.One punch through s... | Negative
| 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Positive | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Positive | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Positive | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: Boy, what a lousy Moby Dick! Patrick Stewart is terrific. That is it, period. The effects with the whale are fine, but when the cabin boy is drowning, the water is only up to his chest. Whe... | Negative
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Negative | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Positive | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: THE BEST SAUCE YOU COULD EVER PUT ON YOUR TABLE AND USE ON YOUR COOKING ON JUST ABOUT ANYTHING, BRINGS THE COSTARICAN SPIRIT ON YOUR MEALS!
A: Positive
****
Q: I just got these stockings but the seller s... | Positive
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: This set of assorted short tracks is hard to avoid if you want to create a track layout of even an intermidiate size. The male-male and female-female pieces will provide a dramatic i... | Negative
| 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: I have two long haired cats and these are by far my favorite lint rollers--super sticky and gets the job done in record time.
A: Positive
****
Q: Steve Milloy, author of this book, is a Washington, DC, l... | Positive
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example is below.
Q: I've read this book with much expectation, it was very boring all through out the book
A: Negative
Rationale: Review writer does not like the book because it was boring, therefore it ... | Negative | 9 | NIv2 | task493_review_polarity_classification | fs_opt |
Teacher: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Teacher: Now, understand the problem? If you are still confused, see the following example:
I've read this book with much expectation, it was very boring all through out the book
Solution: Negative
R... | Positive | 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: if you have read and liked the book, or know anything about the story, this movie would certainly want to make you want to kill yourself. odysseus is portraid as rugged, stupid barbarian who is nothing ... | Negative
| 5 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Let me give you an example: I've read this book with much expectation, it was very boring all through out the book
The answer to this example can be: Negative
Here is why: Review writer does not like the boo... | Positive | 8 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Input: Consider Input: A thrilling story of get rich quick without scruples. It introduces the reader to excellent characterizations of the individuals involved. There is excitement through unusual circumsta... | Output: Negative
| 2 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Negative | 1 | NIv2 | task493_review_polarity_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.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
I've read this book with much expectation, it was very boring all through out the book... | Positive | 0 | NIv2 | task493_review_polarity_classification | fs_opt |
Part 1. Definition
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Part 2. Example
I've read this book with much expectation, it was very boring all through out the book
Answer: Negative
Explanation: Review writer does not like the book because it was bori... | Negative | 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example input: I've read this book with much expectation, it was very boring all through out the book
Example output: Negative
Example explanation: Review writer does not like the book because it was boring,... | Negative | 3 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
One example: I've read this book with much expectation, it was very boring all through out the book
Solution is here: Negative
Explanation: Review writer does not like the book because it was boring, therefor... | Negative | 6 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
--------
Question: I am so happy with this product. My drawers stay neat, clean and most umpotantly organized - I can find everything quickly.
Answer: Positive
Question: in this game other than the fightin... | Positive
| 7 | NIv2 | task493_review_polarity_classification | fs_opt |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: This bed is great. I use it everyday for my little.So far its still inflated and very comfortable.Recommend it for anyone who has a guess or personal use.I especially like the pump, how its connected to t... | Positive
****
| 4 | NIv2 | task493_review_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Example: I've read this book with much expectation, it was very boring all through out the book
Output: Negative
Review writer does... | Positive | 1 | NIv2 | task493_review_polarity_classification | fs_opt |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.