inputs stringlengths 177 3k | targets stringclasses 12
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Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Q: All I have read about these was pretty much true. You can remove the rubber piece and press these over the part that it was attached to and they will stay, but they do come out with a little tug. A fine l... | Positive
****
| 4 | 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... | 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.
Input: Consider Input: I will never understand how "Classics" become Classics. So far for school i Have had to read far to many Classics. Dickens should be glad he is dead and does not have to read his books... | 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.
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 |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
I guess I didn't find this CD memorable, as I couldn't even remember what it sounded like. There were no particular pieces that jumped out at me and cried "Dance to me." Overall I was n... | Negative
| 9 | 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 |
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 |
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: My 2 year old son is huge Thomas fan. This DVD has long introductions to each story in which children and adults are interviewed - my son couldn't care less. He just wants to see trains! We have a portabl... | Positive
****
| 4 | 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]: These are the handful of tracks we hear over and over again. It's far from complete though.Missing such memorable tracks as "sealed Door", "wings across time" or "At the Bottom of the Night".It doesn't ... | Positive
| 5 | 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 |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: I'm no great fan of bluegrass or country, but this release intrigued me because - like many people, I suspect - I have a soft spot for Dolly. "The Grass is Blue", though, really is a... | 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.
[EX Q]: After repeated washings, it still smelled like a toxic plastic and who wants to put toxic plastic inside their body. Also, it didn't do the job. So I wasted my money and had to throw it away.
[EX A]:... | Negative
| 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.
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.
Ex Input:
I own all of Amy Grant's other CD's and this is the worst! This album is so depressing, it makes sense when you realize that her marriage was on the rocks at the time. I find it amusing that she pu... | Positive
| 1 | 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 video is fine for ballroom dancers, but it has nothing to do with the authentic Argentine Tango. Even ballroom dancing has now a separate category for Argentine Tango. Unfortunatel... | 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... | 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 ... | Positive | 9 | 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 had almost all of the Jean Auel's books and needed this one to complete my collection. It turned out to be a book club size and I traded it to a friend for the full size version.
answ... | 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 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 ... | 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... | Positive | 7 | 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: I'm no great fan of bluegrass or country, but this release intrigued me because - like many people, I suspect - I have a soft spot for Dolly. "The Grass is Blue", though, really is a... | 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: They have a little bit bigger size . I ordered a medium shirt for my kid and its a little bit big. I haven't wash it yet if this shrinks it will be perfect for him.
SOLUTION: Positi... | 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.
The Decepticons play the Autobots like a used violin and demostrate Cybertron's AI still has a long way to go. While LaBeouf and Turturro act as if this movie is their character's last episode --- and they r... | 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.
Input: Consider Input: Purchased from We Sell Bulk here on Amazon and received the item much faster than predicted delivery date - I only say that because there's always a list and it's often difficult to pi... | 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.
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 |
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... | 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.
Example Input: I just received this today and while I knew to expect nothing hand crafted, I was shocked at how amazingly flimsy this thing really is. The bottom wood actually came with a huge crack; big eno... | Positive
| 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 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 |
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 |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: I think the video was really good, im a nurse so i know most of the information already but it will hopefully help my husband. I think my husband preferred the video to an actual cla... | Negative
| 8 | 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:
There are people who will start reading this book then about 100 pages into it realize that it's going nowhere fast. Take my advice and keep reading. It gets much better, and more inter... | 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.
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 |
instruction:
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
question:
I was surprised to see that the item was used. Advertised as new. Would have liked the new ones stead got used.
answer:
Negative
question:
Although this is a wonderful working power a... | 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: My husband and I were not able to attend a birthing class, so the doctor suggested we rent/buy a video. We decided on this one, and although the 'teacher' was a bit corny it was helpful. I especially like... | Positive
****
| 4 | 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.
Example Input: Dear potential sucker,My first airbed by intex sprung a leak in about a week, so I obtained a refund. I bought this model next, and it lasted almost twice as long!I am now on my third. I shoul... | 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:
I received my new Rhomba, and was all excited to open it and try it out. I open it and go through the quick setup guide and plug it into a USB port on my pc so it can charge up. As I am... | 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]: I just plugged it in and it's on the job. Perhaps it would be more assuring if it had a digital read-out of level of monooxide in the air.
[EX A]: Positive
[EX Q]: This portable heater is good for u... | 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.
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.
Input: Consider Input: I've only worn this for a day so far, but I love it! I still have a little bit of a tummy from the birth of my son 8 months ago. This really holds you in, its comfortable and I don't t... | Output: 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.
--------
Question: I was looking for a shower door that could open from either the left or the right and I did not want one to choose for me. This door ticks and fits all the right boxes in that department. I... | 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.
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 |
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.
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.
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... | Negative
****
| 4 | 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... | 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 bought these to help with what I've read, to get the Jawbone to fit better. These ear pieces were hard to get into the ear no matter what size I tried. For a wireless earpiece you want to be... | 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.
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.
--------
Question: I bought this air mattress to use while my new bed was being shipped from back east, the bed lost air every night and I woke up almost on the floor. I tried to send it back but it was impos... | 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... | 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.
Ex Input:
Plenty of action and almost lives up to the others in the franchise. However, not to be missed or overlooked as one of the btter robot wars themed movies.
Ex Output:
Positive
Ex Input:
My wife i... | Positive
| 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 |
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.
[EX Q]: This thing is a major piece of junk. It doesn't stick to the wall like it claims. You have to stand to play with it (cause all the cool stuff is at the top), and the extension pieces constantly fall ... | 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 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... | 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.
--------
Question: I was sold this item only to learn, after opening the corresponding Web site necessary for eMarker function, that Sony was terminating the corresponding Web service in 45 days!!A great idea... | 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: 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 ... | 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.
--------
Question: I am using this textbook in a class and it is a whopper. Wonderful pictures, easy to read, clear colors and understandable. I've been working in prisons for 5 years and this book makes a lo... | 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.
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.
Input: Consider Input: This product arrived on time and in excellent condition. These boots have a good arch and seem sturdy. They do look a little cheaper than I anticipated. The tread is great. Size runs t... | Output: Negative
| 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... | 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: I've read several other Deborah Smith books. In my opinion Blue Willow was the best. Sweet Hush was by far the corniest book, I've read in a long time. The phrase "Sweet Hush" must have bee... | Positive
| 7 | 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 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... | 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: 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 |
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.
[Q]: I bought this from the same co. before christmas and was stunned that the price had doubled. On the page the price was not clear!
[A]: Negative
[Q]: i usally buy these boots from famous footwear and p... | 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... | 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.
--------
Question: hard to squeeze, hard to fill, hard to get more than a pinch of spice. there is a miniature hole to get salt and peppercorns in the units, they spill everywhere and don't hold much so you'r... | 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.
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.
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.
Example Input: The bed needs air refilling more often than I thought it would- every 3 days at the most. So much so that if I didn't pump it, the bed would all be like a water bed with "jelly-like" feeling. ... | 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.
[Q]: First of all, don't even bother mentioning Sixty Watt Shaman in the same sentence as Alice and Chains and Soundgarden. Cantrell has more talent in his pinky than Sixty Watt has all together. If you want... | 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... | 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.
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 |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
[Q]: Firstly, it is incredibly important that you DO NOT use the bundled software for this scanner. The program is confusing and terribly disorganized. I have had several issues with using OmniPage, Readris,... | 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.
[Q]: I would say the plot is good, but the action and fighting scenes are not in favour for action-movie goers.
[A]: Negative
[Q]: I was extremely lucky to have found this, because it is a) an import & b) ... | 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: Bazyn's next project should be a ransom note. This was a collection of quotes taken from other writers, pieced together, and presented as a book. I don't think there was a single parag... | 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.
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 |
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.
Ex Input:
These are only meant for use as temporary or guest bedding, but I've been in a situation where I am using this item daily as my bed for over a month now. I am a large person. It has held up beautif... | Positive
| 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.
[EX Q]: 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 if he tr... | 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.
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: This is not a new book;perhaps that's why it is so useful.There is no gobblygook, no arcane economic theories with fancy lables.What there are in this book are many examples of - - if the government takes... | 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.
[EX Q]: I ordered this DVD & several others as presents. They all arrived in good shape & on time for Christmas morning.
[EX A]: Positive
[EX Q]: I got these for my jawbone headset. Many had said they work ... | Positive
| 6 | 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.
Ex Input:
There are people who will start reading this book then about 100 pages into it realize that it's going nowhere fast. Take my advice and keep reading. It gets much better, and more interesting. The ... | Positive
| 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.
[EX Q]: i usally buy these boots from famous footwear and pay like 80 to 90 bucks so i found them on amazon alot cheaper, thanks
[EX A]: Positive
[EX Q]: This book should have been written more as a novel t... | 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.
[Q]: I didn't much care for "On The Road" after the first 50 pages or so and i'd pretty much thought that this great "Beat Writer" was nothing but hype, but after reading "The Dharma Bums" I now believe Kero... | 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.
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.
[Q]: I didn't much care for "On The Road" after the first 50 pages or so and i'd pretty much thought that this great "Beat Writer" was nothing but hype, but after reading "The Dharma Bums" I now believe Kero... | 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 |
TASK DEFINITION: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
PROBLEM: I was extremely disappointed with this movie. The story had no sense of direction. It seemed too badly glued together, as if the scriptwriters were just adding more things as they we... | 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.
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 |
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