Task: 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 |

Categories: Question Rewriting
Domains: Commonsense -> Concepts and Relations -> Social Commonsense; Commonsense -> Concepts and Relations -> Physical Commonsense
Reasoning: Commonsense Reasoning

Positive examples:
input: Context word: fit. 
Question: The trophy doesn't fit into the brown suitcase because _ is too large. 
Answer: trophy.
output: The trophy doesn't fit into the brown suitcase because _ is too small.
explanation: Here, replacing the trigger word "large" by its antonym "small" flips answer to the second object ("suitcase") in the question. So, this is a valid question.; input: Context word: trade. 
Question: Grace was happy to trade me her sweater for my jacket. She thinks _ looks dowdy on her. 
Answer: sweater.
output: Grace was happy to trade me her sweater for my jacket. She thinks _ looks great on her.
explanation: Here, replacing the trigger word "dowdy" by its antonym "great" flips answer to the second object ("jacket") in the question. Therefore, this is a valid question.; input: Context word: carpet. 
Question: While redecorating her home, Sam took out the carpet and replaced it with wood floors. The _ was old. 
Answer: carpet.
output: While redecorating her home, Sam took out the carpet and replaced it with wood floors. The _ was trendy.
explanation: This is a valid question because: on replacing the trigger word "old" by its antonym "trendy", the answer flips to the second object ("wood floors") in the question.; input: Context word: fit. 
Question: The table won't fit through the doorway because the _ is too wide. 
Answer: table.
output: The table won't fit through the doorway because the _ is too narrow.
explanation: Here, replacing the trigger word "wide" by its antonym "narrow" flips answer to the second object ("doorway") in the question. That's why this is a good question.; input: Context word: water. 
Question: I poured water from the bottle into the cup until the _ was empty. 
Answer: bottle.
output: I poured water from the bottle into the cup until the _ was full.
explanation: Here, replacing the trigger word "empty" by its antonym "full" flips answer to the second object ("cup") in the question. That's why this is a good question.; input: Context word: catch. 
Question: My meeting started at 4:00 and I needed to catch the train at 4:30, so there wasn't much time. Luckily, the _ was short, so it worked out. 
Answer: meeting.
output: My meeting started at 4:00 and I needed to catch the train at 4:30, so there wasn't much time. Luckily, the _ was delayed, so it worked out.
explanation: Here, replacing the trigger word "short" by its antonym "delayed" flips answer to the second object ("train") in the question. So, this is a valid question.; input: Context word: candle. 
Question: James wanted to light the candle in the wind when on a date but the _ is too weak. 
Answer: light.
output: James wanted to light the candle in the wind when on a date but the _ is too strong.
explanation: On replacing the trigger word "weak" by its antonym "strong", the answer flips to the second object ("wind") in the question. So, this is a valid question.

Negative examples:
input: Context word: fit. 
Question: The trophy doesn't fit into the brown suitcase because _ is too large. 
Answer: trophy.
output: The trophy doesn't fit into the brown suitcase because there were a lot of other eseential items and jewlleries to pack and  _ is too large.
explanation: The problem here is that, the new question is very different from the given question. Note that, the new question must have at least 70% word overlap with the given question.; input: Context word: trade. 
Question: Grace was happy to trade me her sweater for my jacket. She thinks _ looks dowdy on her. 
Answer: sweater.
output: Grace was happy to trade me her sweater for my jacket. She thinks _ is colored purple.
explanation: Here, there is an issue as both objects ("sweater" and "jacket") are equally likely to fill the blank. This makes the question ambiguous.; input: Context word: carpet. 
Question: While redecorating her home, Sam took out the carpet and replaced it with wood floors. The _ was old. 
Answer: carpet.
output: While redecorating her home, Sam took out the carpet and replaced it with wood floors. The wood floor's feature is that _  was trendy.
explanation: Here the object "wood floor" has been used more than once in the question. Note that the two objects should be used ONCE in your question.; input: Context word: fit. 
Question: The table won't fit through the doorway because the _ is too wide. 
Answer: table.
output: The table is brown in color which is different from the color of the _.
explanation: The question is based on color of objects which is different from the context word "fit". Note that, you must utilize the given context word while writing the question.; input: Context word: water. 
Question: I poured water from the bottle into the cup until the _ was empty. 
Answer: bottle.
output: I poured water from the bottle into the _ until the _ was empty.
explanation: This question contains more than one blank. Note that, your question must contain only one blank.; input: Context word: catch. 
Question: My meeting started at 4:00 and I needed to catch the train at 4:30, so there wasn't much time. Luckily, the _ was short, so it worked out. 
Answer: meeting.
output: My meeting started at 4:00 and I needed to catch the train at 4:30, so there wasn't much time. Luckily, the meeting was _.
explanation: The expected answer to this question is "short" which is not one of the two objects present in the question ("train" and "meeting"). Note that, the answer in your generated question must flip to another object in the question.; input: Context word: candle. 
Question: James wanted to light the candle in the wind when on a date but the _ is too weak. 
Answer: light.
output: James wanted to light the candle in the _.
explanation: The issue is that the generated question has lesser than 15 words. Remember, your question must contain at least 15 and at most 30 words.