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instruction:
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
I bought these in Sep. and these racks burned and melted on the bacon. So you will have to throw away the food you have cooke... | negative
| 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: This small vacuum cleaner is really powerful enough to clean the dirt / food particles in car. Cleans well even in the small gaps between seat... | negative
| 5 | NIv2 | task1312_amazonreview_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.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
These are junk! Both bulbs... | positive | 0 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | negative | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[EX Q]: These labels do not “remove clean once the job is done”. They are not removable and I learned that when I went to replace a label that I ha... | positive
| 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: I wonder how many more Godinger crystal is going to arrive broken in the next two days. Two products arrived today completely smashe... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
TASK DEFINITION: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
PROBLEM: I use my mobile phone constantly throughout the day for work and need headphones to so I can have both hands free. These h... | positive
| 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: These bags look they have a sheen and they're very matte/flat. Construction and materials are low-quality. Amazon gave these a high ... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Input: Consider Input: It was easy to use yes. But it didn’t hardly give any color. The color I had was very spotty! It took using over half of the... | Output: positive
| 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: positive | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: Sorry but I didn't find this helpful at all. It provided non valuable minimal repetitive information and was about 4 thin pages. ... | negative
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: I purchased in June and hired an HVAC professional to install. After several calls to Nest support, it was determined that we had a ... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | positive | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
TASK DEFINITION: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
PROBLEM: Sorry but I didn't find this helpful at all. It provided non valuable minimal repetitive information and was about 4 thin ... | positive
| 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out with... | negative | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | negative | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: This is a piece of crap have only had a week and there's no more motion I don't write reviews but this is straight garbage I will be returning t... | negative
****
| 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[EX Q]: I placed order and was given delivery date. Two weeks after delivery date, and no magazine, I inquired and was told my order was received a... | negative
| 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
TASK DEFINITION: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
PROBLEM: I bought this outdoor Christmas Projector Lights so I can be ready for Christmas. It can be used outdoor or indoor. It has... | positive
| 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out with... | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: it worked great for a few months and then it suddenly stopped charging. it repeatedly bumps against the dock but never begins chargi... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: positive | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: This is a very easy-to-use timer, the big numbers are great and I can hear it go off quite a distance away! I use it a lot when I'm using my P... | positive
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Ex Input:
Very impressed! Was nervous but it looks way more expensive then it really is. The engraving were perfec. It's an awesome knife, my boyfr... | negative
| 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
instruction:
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
We threw a Fortnite themed birthday party for our son and these were great additions to our goodie bags. Two of the stickers ... | positive
| 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: positive | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Part 1. Definition
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be ... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month ... | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | negative | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | negative | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Teacher: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
These are junk! Both bulbs have burned out with... | positive | 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: I thought surely the other reviews saying the product cut their baby were an exception. But bo, this product is defective and cut my baby and ca... | negative
****
| 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: Ordered size small in blue. I'm about 5'8, 150 lbs with more of an athletic build. This dress fits perfectly. The color is more vibr... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: Suppose modern technology were the figment. Suppose you were writing a technology-fiction book about teenagers attending an Institut... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
instruction:
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
Produce pieces did not match up. Asked for new product, they said they sent but it never left the warehouse. Asked for refund... | positive
| 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: I’m very sad with the quality of this product, is the first time to try to print something. I was so frustrated and all was the filament. The pr... | negative
****
| 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | negative | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: I wouldn't even give this 1 star but had no choice. I hate this faucet. It looks pretty but absolutely NO water pressure, not even e... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: My son wear a 10 in men so I always go a half size Bigger with all his shoes / sneakers to give him room for growth. He wore these s... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Ex Input:
Would definitely not recommend!!! Although the actual material that the bag is made of seems to be of good quality, the zippers are cheap... | negative
| 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: Been a long time since a book has held me so captivated & enthralled. Deep, exciting, moving & Inspiring, Mitchell's command of the English la... | positive
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
instruction:
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
Very nice shower head and well made. Enjoy it very much.Love, love, love. Super easy to install in minutes, great pressure, g... | positive
| 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | negative | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: It's the worst purchase i have ever made. It tastes so much better at home in India. I feel they've made it really bland to sell her... | negative
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[EX Q]: Normally I buy thistle from Walmart but they were out of stock for a few weeks so I ordered this product. I use socks and finches in my yar... | positive
| 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Part 1. Definition
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be ... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: This author amazes me every time I read one of her book, I'm pulled right in with the very first chapter!! Emma and Jax have secrets... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Input: Consider Input: Honestly I havent noticed a difference and that is when I can keep it on my son. Hes 6 months old and smallest size is too b... | Output: positive
| 2 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Part 1. Definition
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be ... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Ex Input:
I’m very sad with the quality of this product, is the first time to try to print something. I was so frustrated and all was the filament.... | positive
| 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Q: I live how easy it is to stick it into the AirPods. The actual skins are really nice and durable and I especially love their lifetime replacemen... | negative
****
| 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: This LED lights did not stick to my walls. I set them up in my room (efficiently, I made sure they shouldnt fall off) and left fo... | positive
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: Produce pieces did not match up. Asked for new product, they said they sent but it never left the warehouse. Asked for refund, they ... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | negative | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: negative | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[EX Q]: This is a superb devotional I am a connoisseur of devotionals and this is one of the best I’ve ever read Brian and Michelle did their due d... | negative
| 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | positive | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: DON'T purchase candles or BREAKABLE items from Amazon. They don't bubble wrap or protect products. You pay high shipping fee, wai... | negative
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
You will literally get in a good mood when you stand on this rug. It’s so incredibly soft and plush with memory foam like squishiness. I have tile ... | negative
| 0 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | positive | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Part 1. Definition
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be ... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | positive | 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: Sorry but I didn't find this helpful at all. It provided non valuable minimal repetitive information and was about 4 thin pages. ... | negative
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Let me give you an example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in bus... | negative | 8 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | negative | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | negative | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month ... | negative | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Part 1. Definition
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Part 2. Example
These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be ... | positive | 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
[Q]: Order came on time, but the threads on the shower outlet were bad. Had to get a master plumber to fix a less than 10.00 dollar item. A lot of ... | negative
| 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Detailed Instructions: In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
See one example below:
Problem: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that ... | positive | 4 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such poor... | Solution: positive | 5 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
--------
Question: This would have been the easiest 5 star review... if I had actually recieved the blood orange flavor, but some genius decided tha... | positive
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | positive | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example is below.
Q: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in busines... | negative | 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
One example: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with such ... | positive | 6 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
instruction:
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
question:
Clip is smaller than OEM, they also don’t expand nearly as well as the original and don’t have a relief cut into them for eas... | negative
| 9 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month ... | positive | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot believe that this company can be in business with su... | negative | 3 | NIv2 | task1312_amazonreview_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.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
These are junk! Both bulbs... | positive | 0 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example: These are junk! Both bulbs have burned out within a two month ... | negative | 1 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Example Input: A delayed review as this was a present sent abroad and I had to wait for the grandchildren to play with this and now the feedback ha... | positive
| 3 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt |
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