In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the question has to be about both objects which are related but different; for example, "trophy" and "suitcase". This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "small" to "big"). You should not change any content in the given question beyond a word or two, i.e., the trigger word/phrase. The expected answer to your question must not be associated with just the trigger word; instead, it should depend on the context present in the question. The expected answer should not be ambiguous. For your question, there should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. In your generated question, retain the object names from the input question. Avoid repeating the same style or phrase in generating your modified question e.g. this task can be always solved using a simple negation i.e. by adding not, never, etc. Instead, try to increase the word diversity. Your question must contain at least 15 and at most 30 words. Your question must have at least 70% overlapping words with the given question. You must utilize the given context word while writing the question. Your question must contain only one blank. The two objects should be used ONCE in your question. Here is a list of attributes and associated contrastive words that may help write contrastive trigger words. Note that contrastive trigger words help in flipping the label.
| Attribute | triggerword | contrastive triggerword | 
| age | old | new | 
| altitude | low | high |
| area | small | vast | 
| brightness | dark | light | 
| clarity | obscure | clear | 
| cleanness | dirty | clean | 
| complexity | simple | complex | 
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |  
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse | 
| hardness | soft | hard | 
| length | short | long | 
| magnitude | small | large | 
| mass | small | large | 
| odor | weak | strong | 
| pressure | low | high | 
| resistance | low | high | 
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large | 
| sound | quiet | loud | 
| sound pitch | low | high | 
| speed | slow | fast | 
| stability | unstable | stable | 
| strength | weak | strong | 
| temperature | low | high | 
| texture | smooth | rough | 
| thermal conductivity | low | high |
| thickness | thin | thick | 
| volume | small | large |
| weight | light | heavy | 
| width | narrow | wide | 
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |


Example Input: Context Word: calculators. 
Question: These calculators cannot sum up the numbers for the whole inventory because the _ are small. 
Answer: calculators.
Example Output: These calculators cannot sum up the numbers for the whole inventory because the _ are big.

Example Input: Context Word: makeup. 
Question: She suspected that her old makeup had expired after she put it on her skin because the _ is harder. 
Answer: makeup.
Example Output: She suspected that her old makeup had expired after she put it on her skin because the _ is irritated.

Example Input: Context Word: paint. 
Question: Jason hired his coworker to paint the house instead of hiring a painting company, because the _ will do it for cheaper. 
Answer: coworker.
Example Output:
Jason hired his coworker to paint the house instead of hiring a painting company, because the _ will do it for more money.