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Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: lose. Question: She didn't want to lose the necklace or the wallet, but the _ was too big for her purse. Answer: necklace. Output:
[ "She didn't want to lose the necklace or the wallet, but the _ was just perfect for her purse." ]
task034-c9938f27e9e3482fb02b586603b02edc
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: game. Question: The soccer game yesterday was a lot worse than the tennis match today, because the _ was played in rain. Answer: game. Output:
[ "The soccer game yesterday was a lot worse than the tennis match today, because the _ was played in sunshine." ]
task034-417715e55c804b4699baecf5abfaeecd
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: shoes. Question: I was hoping these shoes would have good arch and heel support but the _ was too high. Answer: arch. Output:
[ "I was hoping these shoes would have good arch and heel support but the _ was too stiff." ]
task034-0eabdc2e3d7a446297e101cf04c13b72
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: plant. Question: The plant root broke out of the pot as it continues to grow and the _ becomes stronger. Answer: root. Output:
[ "The plant root broke out of the pot as it continues to grow and the _ becomes weaker." ]
task034-95596478a75447c7894e4a1d40c6f3cc
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: Parkinson's. Question: After being diagnosed with Parkinson's, he now was taking supplements and prescriptions but the doctor warned the _ would be ineffective. Answer: supplements. Output:
[ "After being diagnosed with Parkinson's, he now was taking supplements and prescriptions but the doctor said the _ would be effective." ]
task034-5adb7bbbdaa9497a9debcc3ba5f7f65c
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: room. Question: The mother could not hear the noise from John's room like he heard the radio in the laundry because the _ is closer. Answer: laundry. Output:
[ "The mother could not hear the noise from John's room like he heard the radio in the laundry because the _ is farther." ]
task034-1738a5219bcc430f9acdebeb91cb0701
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: gift. Question: Jerry decided to buy his mother's gift at the specialty shop instead of the department store because the _ offered less attractive items. Answer: department store. Output:
[ "Jerry decided to buy his mother's gift at the specialty shop instead of the department store because the _ offered more attractive items." ]
task034-23c4e3c54c0e4148af3c92e59ca86c05
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: time. Question: The running time of the meeting was much greater than the earlier presentation, because the _ was more detailed. Answer: meeting. Output:
[ "The running time of the meeting was much greater than the earlier presentation, because the _ was simpler." ]
task034-5b86168dff764563bca3eec31b6fc815
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: Story. Question: After watching the movie Kelly began to work on her own story. The _ was for her research. Answer: movie. Output:
[ "After watching the movie Kelly began to work on her own story. The _ was for her job." ]
task034-1b3f3da80f2d4bea83cbe2f03904891b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: bargain. Question: The chair at the shop was a better bargain than the table because the price on the _ was marked lower. Answer: chair. Output:
[ "The chair at the shop was a better bargain than the table because the price on the _ was marked higher." ]
task034-06c2106bcf2042a7aab7e3861969c45b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: device. Question: The police came to deal with a device left on the dock. The _ had to be blown up for safety. Answer: device. Output:
[ "The police came to deal with a device left on the dock. The _ had to be evacuated for safety." ]
task034-ade4d0c53ba34fd4a67a795b90c169e5
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: handstand. Question: At gymnastics Grace could do a handstand but not an aerial, because doing the _ was less difficult. Answer: handstand. Output:
[ "At gymnastics Grace could do a handstand but not an aerial, because doing the _ was more difficult." ]
task034-4744632212254d8f9802d933c6c405bb
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: wire. Question: To cut the wire, instead of the pliers we used the saws, because the _ were dull for this job. Answer: pliers. Output:
[ "To cut the wire, instead of the pliers we used the saws, because the _ were sharp for this job." ]
task034-e864851944b74ff883754b6cdf70fb60
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: salad. Question: No one could eat the salad without their face frowning and they all want a cup of juice after because the _ is sour. Answer: salad. Output:
[ "No one could eat the salad without their face frowning and they all want a cup of juice after because the _ is sweet." ]
task034-c46fd05718ed474890fda9321b36d599
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: loan. Question: I got a loan last year, but couldn't pay the bank back because the _ was too much. Answer: loan. Output:
[ "I got a loan last year, but couldn't pay the bank back, because the _ was too strict." ]
task034-b2c5718f3ccf441a8bae99a8462b8c8b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: affect. Question: The doctor wanted to know what effect the drug would have on the patient's affect, so the doctor observed the _ of the drug. Answer: effect. Output:
[ "The doctor wanted to know what effect the drug would have on the patient's affect, so the doctor observed the _ of the patient." ]
task034-80ba9f1cbe7d48d0ae677fb0a2d8fdc7
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: picnic. Question: Vicki was going to a picnic and needed to pack the food but not the blanket because she was responsible for bringing the _ . Answer: food. Output:
[ "Vicki was going to a picnic and needed to pack the food but not the blanket because she wasn’t responsible for bringing the _ ." ]
task034-0a4213e2db474e6a8ec64f7faa8a6ba2
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: violin. Question: James do not want to play the violin while the drum is sounding so that he could listen. The _ is calm. Answer: violin. Output:
[ "James do not want to play the violin while the drum is sounding so that he could listen. The _ is noisy." ]
task034-62e8afc885d243b49b7fa4bc7cdbb3ac
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: baking. Question: The restaurant was not known for its baking, but the cafe had good cakes. The _ 's staff was ill trained for baking. Answer: restaurant. Output:
[ "The restaurant was not known for its baking, but the cafe had good cakes. The _ 's staff was well trained for baking." ]
task034-f998a75a907c4161ae09640563dae731
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: eggs. Question: Marianne wanted eggs for breakfast, either scrambled or poached. She chose the _ since they were so fluffy. Answer: scrambled. Output:
[ "Marianne wanted eggs for breakfast, either scrambled or poached. She chose the _ since they were so gooey." ]
task034-dd1f07584a4e40a0a2cd35228fda4d33
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: cow. Question: The cow slept better in the barn than in the field because it was hot in the _ . Answer: field. Output:
[ "The cow slept better in the barn than in the field because it was cool in the _ ." ]
task034-01918f83dfb941e6a44348ac9cca6324
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: leather. Question: The leather coat, but not the leather glove, needed conditioner because the _ was cracked. Answer: Coat. Output:
[ "The leather coat, but not the leather glove, needed conditioner because the _ was supple." ]
task034-90571c95e35a472c9d4c98e27351332f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: burn. Question: He treated his wife for an electrical burn and luckily had gauze not just a band-aid as the _ was undesirable for this kind of injury. Answer: band-aid. Output:
[ "He treated his wife for an electrical burn and luckily had gauze not just a band-aid as the _ was preferred for this kind of injury." ]
task034-0acdce76f15d444bb8dca728ccf1c221
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: apples. Question: Sam liked apples and hated oranges, so he would never choose the _ at the supermarket. Answer: oranges. Output:
[ "Sam liked apples and hated oranges, so he would often choose the _ at the supermarket." ]
task034-472866b1e39941c1bbc918ded5bc6f51
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: backyard. Question: Peter took the hose out to the backyard in order to fill up the bucket, but the _ wasn't long enough. Answer: hose. Output:
[ "Peter took the hose out to the backyard in order to fill up the bucket, but the _ had a broken handle." ]
task034-4a895b29194841209531f70aa406b85f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: photography. Question: I choose pro-graded prime lenses over the pro-graded zoom lenses for my photography because the _ lens are expensive. Answer: pro-graded zoom. Output:
[ "I choose pro-graded prime lenses over the pro-graded zoom lenses for my photography because the _ lens are cheap." ]
task034-aa85288b56b246e0a4a02f04a7fe2133
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: ocean. Question: On the trip, we planned on snorkeling in the ocean and I knew I should use a wetsuit instead of a bathing suit because the _ is resilient. Answer: wetsuit. Output:
[ "On the trip, we planned on snorkeling in the ocean and I knew I should use a wetsuit instead of a bathing suit because the _ is flimsy." ]
task034-fc800a970f994a4794d28a10fdb033ba
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: hobby. Question: The girl chose sewing as a hobby rather than volleyball because the _ was more interesting to her. Answer: sewing. Output:
[ "The girl chose sewing as a hobby rather than volleyball because the _ was more boring to her." ]
task034-aac0867323b64f599b02dc515266bcf2
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: tenders. Question: At many different restaurants, Adam preferred to order chicken nuggets over chicken tenders because he found the _ familiar. Answer: chicken nuggets. Output:
[ "At many different restaurants, Adam preferred to order chicken nuggets over chicken tenders because he found the _ too unfamiliar." ]
task034-c351b80469fd494096c7aa7c46984a0e
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: park. Question: Percy goes to the park on his bike instead of on the train, because the _ gets him there slower. Answer: train. Output:
[ "Percy goes to the park on his bike instead of on the train, because the _ gets him there faster." ]
task034-fa245586847f4b94a3dc8d2e42af6437
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: bowl. Question: The chef tried to put the fruit in the bowl but the _ was too large. Answer: fruit. Output:
[ "The chef tried to put the fruit in the bowl but the _ was too small." ]
task034-266e72665ca7417f868c97d2f08bb9aa
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: plant. Question: The plants do not grow because too much was planted at a spot. The _ is too small. Answer: spot. Output:
[ "The plants do not grow because too much was planted at a spot. The _ is too big." ]
task034-2c81e2cc24c64c669c6e0f9a48b1163e
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: balloon. Question: The small child's balloon would not fit in the box because the _ was full of air. Answer: balloon. Output:
[ "The small child's balloon would not fit in the box because the _ was full of clothes." ]
task034-943edcf53d3b4b80aab0d9dda3645e70
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: bread. Question: The bread in the microwave do not get toasted on time because the _ is cold. Answer: microwave. Output:
[ "The bread in the microwave do not get toasted on time because the _ is big." ]
task034-5290c1437102466cb9e6150fecc735f3
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: download. Question: James could not download his video fast enough using the internet connection because the _ is weak. Answer: connection. Output:
[ "James could not download his video fast enough using the internet connection because the _ is heavy." ]
task034-9128f8dfb9834765a7d405c38f6a1ad4
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: mirror. Question: The janitor tried to clean the mirror with the spray but the _ was too dirty. Answer: mirror. Output:
[ "The janitor tried to clean the mirror with the spray but the _ was too weak." ]
task034-a062591703154c40b96c366d519be244
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: system. Question: The system in the hospital is horrible compared to the procedure at the clinic, because the _ is flawed. Answer: system. Output:
[ "The system in the hospital is horrible compared to the procedure at the clinic, because the _ is perfect." ]
task034-dafde5c9afa64b1996f872c32a9ec548
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: humor. Question: One evening at the comedy club, the audience came to hear some humor from the comedian, but the _ found him boring. Answer: audience. Output:
[ "One evening at the comedy club, the audience came to hear some humor from the comedian, and the _ was very funny." ]
task034-116d99b4cd774c25b1e9c29188e087d2
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: hydrangeas. Question: Becca got her clippers and her fertilizer to plant her hydrangeas, and the _ were hard to to use. Answer: clippers. Output:
[ "Becca got her clippers and her fertilizer to plant her hydrangeas, and the _ was easy to to use." ]
task034-d64057de2daf499f95441062763b7092
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: water. Question: I poured the water from the bottle into the cup, but it spilled all over the table. The _ is too small. Answer: cup. Output:
[ "I poured the water from the bottle into the cup, but it spilled all over the table. The _ is too large." ]
task034-1b92ed04ef6e444380e5bf835096254f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: cheese. Question: I ate the cracker but I sent back the cheese because the _ had turned green. Answer: cheese. Output:
[ "I ate the cracker but I sent back the cheese because the _ had gotten stale." ]
task034-cf1e5b6c16544718aabe63c2f7d10a82
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: programmer. Question: I want to be a computer programmer but I want a phone application too. The _ are easier to show off to friends. Answer: application. Output:
[ "I want to be a computer programmer but I want a phone application too. The _ are easier to show on big screen." ]
task034-a999e80b18764534a68c01e70df683fd
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: bid. Question: We had to make a bid on the item instead of just making a purchase, because the _ would be higher. Answer: purchase. Output:
[ "We had to make a bid on the item instead of just making a purchase, because the _ would be lower." ]
task034-62bbf3f75dda4432a28a0aeaafd1d2be
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: Junk. Question: To get rid of the junk, Adam used a wheelbarrow instead of a moving truck because _ was big enough. Answer: wheelbarrow. Output:
[ "To get rid of the junk, Adam used a wheelbarrow instead of a moving truck because _ was too big." ]
task034-f94f09670af74bfd9b9e29e5707e9878
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: computer. Question: The computer lost power quickly in the library but had plenty in the cafe, as the _ 's power source was deficient. Answer: library. Output:
[ "The computer lost power quickly in the library but had plenty in the cafe, as the _ 's power source was adequate." ]
task034-4ba616998d5642e48ac61b5e0a43e5da
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: leg. Question: I usually choose to wear my wide leg pants instead of my skinny pants since the _ are so comfortable. Answer: wide leg pants. Output:
[ "I usually choose to wear my wide leg pants instead of my skinny pants since the _ are not comfortable." ]
task034-ad9a1fd2556848618ccf2fb8407618ef
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: node. Question: The node on the head needed medication applied to its area because the _ was swollen. Answer: node. Output:
[ "The node on the head needed medication applied to its area because the _ would contract it." ]
task034-145476c5881c43e8917320462135886e
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: hair. Question: The black rope cannot tie the hair in two folds because the _ is wide. Answer: hair. Output:
[ "The black rope cannot tie the hair in two folds because the _ is short." ]
task034-9a47788eb36940acbe5e47bc5e0c0a04
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: case. Question: The case James used to carry the file still got more space in it. I wonder why he chose the _ that is big. Answer: case. Output:
[ "The case James used to carry the file still got more space in it. I wonder why he chose the _ that is small." ]
task034-4033b447cf984b2097890bb267459608
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: Cowboy. Question: John bought the loafers instead of the Cowboy boots since the _ were so expensive. Answer: boots. Output:
[ "John bought the loafers instead of the Cowboy boots since the _ were so cheap." ]
task034-89701e2b688243f8985678d72dbc8e58
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: oatmeal. Question: Jon ate the oatmeal for breakfast instead of the yogurt because the _ was spoiled. Answer: yogurt. Output:
[ "Jon ate the oatmeal for breakfast instead of the yogurt because the _ was fresh." ]
task034-910a74de8e574299bbdd1f54cf43bc08
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: life. Question: Danny loved living an exciting life with adventure and novelty because the _ is too short. Answer: life. Output:
[ "Danny loved living an exciting life with adventure and novelty because the _ is too new." ]
task034-681b05fdeacd434e8a987066c8f8540b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: tasks. Question: The new tasks that I was given were harder than the old chores, because the _ had more requirements. Answer: tasks. Output:
[ "The new tasks that I was given were harder than the old chores, because the _ had less requirements." ]
task034-1bcddcc3af654998b702542b52a28295
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: hair. Question: There was more hair on the couch than on the kitchen chair because the woman never sat at the _ . Answer: kitchen chair. Output:
[ "There was more hair on the couch than on the kitchen chair because the woman always sat on the _ ." ]
task034-8dcfe8d28c284c5787bdb5e2bf4eecd4
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: stress. Question: He needed to deal with his stress more effectively so the therapist recommended medication or a journal with the _ a health commitment. Answer: medication. Output:
[ "He needed to deal with his stress more effectively so the therapist recommended medication or a journal with the _ was a time commitment." ]
task034-181e4df9358144bda4910e3e84e06d7d
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: exam. Question: The student tried to use his phone to cheat on the exam but the _ was too difficult. Answer: exam. Output:
[ "The student tried to use his phone to cheat on the exam but the _ was too loud." ]
task034-b0752b4172ba49d09e7640cb691e9499
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: floor. Question: The mother wouldn't let baby crawl with his bare skin on the floor because the _ was too rough. Answer: floor. Output:
[ "The mother wouldn't let baby crawl with his bare skin on the floor because the _ was too smooth." ]
task034-b918b4b8ced7434ab3d4e796d9fd13f7
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: book. Question: Kyle brought a book for the bus ride because he found the _ to be boring. Answer: bus. Output:
[ "Kyle brought a book for the bus ride because he found the _ to be interesting." ]
task034-ef73a9a5829244289d5f2df509caf325
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: shampoo. Question: The shampoo was a lot worse than the soap, because the _ gave me a rash. Answer: shampoo. Output:
[ "The shampoo was a lot worse than the soap, because the _ gave me freshness." ]
task034-2f7ff6170f9b47d992d8e1d66924cad2
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: fold. Question: The blanket would not fold over the bed, since the _ was much too small for it. Answer: blanket. Output:
[ "The blanket would not fold over the bed, since the _ was much too large for it." ]
task034-9ea782cbbea1414a805b15f3880d5365
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: perform. Question: The musician was able to perform on the sax much better than on the flute, because the _ was out of tune. Answer: flute. Output:
[ "The musician was able to perform on the sax much better than on the flute, because the _ was tuned perfectly." ]
task034-0ed3c30d08394ee5ba4535b4904d3d8d
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: yell. Question: Jimmy could not hear John yelling because he had his phone at his ears. The _ is far. Answer: yelling. Output:
[ "Jimmy could not hear John yelling because he had his phone at his ears. The _ is close." ]
task034-bdea6fb6c6ac4e11879ef58cda9d471b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: originality. Question: There was a lot more originality in the model than there was in the sculpture, because the _ was ripped off. Answer: sculpture. Output:
[ "There was a lot more originality in the model than there was in the sculpture, because the _ was improvised." ]
task034-96113003b2074838953a7370c1bb10b2
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: ceremonies. Question: Induction ceremonies are no longer held in the hall but in the auditorium instead, as the _ is antiquated. Answer: hall. Output:
[ "Induction ceremonies are no longer held in the hall but in the auditorium instead, as the _ is modern." ]
task034-4098c4ea655a46f8a1617423f2cfa166
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: alter ego. Question: Adam had an alter ego as a superhero. He took off his necktie and put on a cape to represent it. The _ was constraining. Answer: necktie. Output:
[ "Adam had an alter ego as a superhero. He took off his necktie and put on a cape to represent it. The _ was liberating." ]
task034-1146d4e97486470eaee1b19c9912ab19
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: edit. Question: He was trying to edit someone's article for them and clear their mistakes, but grew tiresome and had to end early because the _ were plentiful. Answer: mistakes. Output:
[ "He was trying to edit someone's article for them and clear their mistakes, but grew tiresome and had to end early because the _ was long." ]
task034-7bb2d4bfcccb4c9fb729b777ffaa8c71
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: home. Question: Because he needed to make money, Joe spent more time at the workplace than at home because at the _ he made all his money. Answer: workplace. Output:
[ "Because he needed to make money, Joe spent more time at the workplace than at home because at the _ he made none of his money." ]
task034-f8e03e1dd57e4806ba4bce9d9e3240e8
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: boil. Question: Bringing the water to a boil was needed to cook the potatoes after the beans were finished, as _ required more heat to cook. Answer: potatoes. Output:
[ "Bringing the water to a boil was needed to cook the potatoes after the beans were finished, as _ required less heat to cook." ]
task034-eea46387b8f542ef9bb98532f36c2e9f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: train. Question: In order to train for the tournament, the man decided to use the numchucks instead of the batons, since the _ were tougher. Answer: numchucks. Output:
[ "In order to train for the tournament, the man decided to use the numchucks instead of the batons, since the _ were easier." ]
task034-02169caf285e4f049d6a9e6ac3717d84
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: personality. Question: To make an impression, she left her gown at home and wore the dress, as the _ was lacking in personality. Answer: gown. Output:
[ "To make an impression, she left her gown at home and wore the dress, as the _ was abundant in personality." ]
task034-c79d0e8b0e9f43219e20eaeb9a648b7a
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: wall. Question: The bookcase fixed on the wall fell down and pulling the wall along. The _ is too heavy. Answer: bookcase. Output:
[ "The bookcase fixed on the wall fell down and pulling the wall along. The _ is too weak." ]
task034-c6c52688ad24436f8c06a72750c9cc5a
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: magnesium. Question: The doctor said to take magnesium instead of asprin because the _ was more natural. Answer: magnesium. Output:
[ "The doctor said to take magnesium instead of asprin because the _ was more chemical based." ]
task034-834b349036ce466fab64e3965c3ec773
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: mind. Question: She didn't mind the music or the talking, but the _ had gotten a bit louder. Answer: music. Output:
[ "She didn't mind the music or the talking, but the _ had gotten a bit quieter." ]
task034-0bfd29d59fcb4d81a8521b77ebf88e5b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: music. Question: The music coming from the stereo was louder than the music coming from the computer because the speakers on the _ were bigger. Answer: stereo. Output:
[ "The music coming from the stereo was louder than the music coming from the computer because the speakers on the _ were smaller." ]
task034-9cdbd5ecc30441a2b0ea0e77aeecc4f8
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: baseball glove. Question: Jen prepped her new baseball glove with oil and with heat, and the _ made the leather softer. Answer: oil. Output:
[ "Jen prepped her new baseball glove with oil and with heat, and the _ made the leather flexible." ]
task034-d149f61c2789498a976936b4f5b85425
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: chile. Question: Helena used a little bit of chile in her bowl of chili because the _ was flavorless. Answer: chili. Output:
[ "Helena used a little bit of chile in her bowl of chili because the _ was flavorful." ]
task034-1d400e0237c242acae713dcef1432f41
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: order. Question: I had to put the steel and iron in alphabetical order, so I placed the _ in the left slot. Answer: iron. Output:
[ "I had to put the steel and iron in alphabetical order, so I placed the _ in the right slot." ]
task034-b1204dbe51e241cabb031fc13b46c29f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: teenage. Question: The cafe was nearly empty while the restaurant was hopping. The _ was unhip for the teenage crowd. Answer: cafe. Output:
[ "The cafe was nearly empty while the restaurant was hopping. The _ was cool for the teenage crowd." ]
task034-54647dd9f5bb411abb6cf1f94910ebd7
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: drive. Question: Amy hated the winter and wanted to be summer again, because it's harder to drive in the _ . Answer: winter. Output:
[ "Amy hated the winter and wanted to be summer again, because it's easier to drive in the _ ." ]
task034-4a18a3044950443f99b04141c3b90e76
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: book. Question: Kai was reading a book but later he started watching sitcom because he is tired and the _ is complicated to process now. Answer: book. Output:
[ "Kai was reading a book but later he started watching sitcom because he is tired and the _ is simple to process." ]
task034-a37b2fd8a3bf438ca95d17f0b54d5251
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: dog. Question: Tim tried to train his dog with its leash and with dog treats, but the dog did not like the _ . Answer: leash. Output:
[ "Tim tried to train his dog with its leash and with dog treats, and the dog liked the _ ." ]
task034-9e6f784e45464afcaf1d15667a3f667f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: peas. Question: Jean really liked the profiteroles but not the peas because the _ were very sweet. Answer: profiteroles. Output:
[ "Jean really liked the profiteroles but not the peas because the _ were very bitter." ]
task034-7f446a12c0934fa69dee5c24f89d6556
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: Hyacinths. Question: The gardener tried to plant the Hyacinths roots in the holes, but the _ were too short. Answer: holes. Output:
[ "The gardener tried to plant the Hyacinths roots in the holes, but the _ were too long." ]
task034-15f1f078ab7c44e6b45edc99abd3ae3d
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: office supplies. Question: Stephen needed office supplies and bought a stapler but not any paper because the price of the _ went down. Answer: stapler. Output:
[ "Stephen needed office supplies and bought a stapler but not any paper because the price of the _ went up." ]
task034-085560d3a09a458ab2287547e017669c
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: protect. Question: Because the _ was difficult to protect, the army abandoned the trench and moved to the hill. Answer: trench. Output:
[ "Because the _ was easy to protect, the army abandoned the trench and moved to the hill." ]
task034-eb1b88d38bb24dd58168a3cb3afd09d8
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: storage. Question: The storage box, used for Julie's favorite book, fell in the pool but the book was sealed in plastic. The _ was dry. Answer: book. Output:
[ "The storage box, used for Julie's favorite book fell in the pool but the book was sealed in plastic. The _ was wet." ]
task034-c429574259164bf8b64b682eedd22aa8
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: complaint. Question: The complaint was noted for the local court's action as Jeff observed because the _ was uncalled for. Answer: action. Output:
[ "The complaint was noted for the local court's action as Jeff observed because the _ was called for." ]
task034-e44ba315c58c40f6826e0960fa04b10e
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: class. Question: The class was going on a bus on a field trip to a local museum. The _ had to leave school at 8. Answer: bus. Output:
[ "The class was going on a bus on a field trip to a local museum. The _ had to close at 4." ]
task034-09b254dab4cb4f69928978e2e27d6d50
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: steak. Question: The rib-eye steak needed some artisan pepper to season it because the _ was bland. Answer: steak. Output:
[ "The rib-eye steak needed some artisan pepper to season it because the _ was flavorful." ]
task034-d6ca6c4b0864495785275d0b6297c695
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: table. Question: It was hard to move the table into the new apartment through the door. The _ was too narrow. Answer: door. Output:
[ "It was hard to move the table into the new apartment through the door. The _ was too wide." ]
task034-339046fe24cb49c5ab5fb4b230f64ffb
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: liver. Question: To repair his liver damage from years of drinking, Henry decided on medication as the best course of action over therapy, since the _ was ineffective. Answer: therapy. Output:
[ "To repair his liver damage from years of drinking, Henry decided on medication as the best course of action over therapy, since the _ was effective." ]
task034-d973929b4d8f4fbd99cb99744674f14b
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: rubbing alcohol. Question: He keeps rubbing alcohol further from the oven and soy sauce closer to the oven. Because the _ is flammable. Answer: rubbing alcohol. Output:
[ "He keeps rubbing alcohol further from the oven and soy sauce closer to the oven. Because the _ is inflammable,." ]
task034-4455ebbd79aa4f0fa29ad80ae2de802c
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: dunk. Question: He wouldn't dunk his donuts in coffee, but he loved to do so with his cookies, since the _ broke up in the drink. Answer: donuts. Output:
[ "He wouldn't dunk his donuts in coffee, but he loved to do so with his cookies, since the _ stayed intact in the drink." ]
task034-abb652e3375b49629c004d4d58f124af
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: teenage. Question: The movie was not fit for a teenage audience, but the play was perfect for them, since the _ had inappropriate material in it. Answer: movie. Output:
[ "The movie was not fit for a teenage audience, but the play was perfect for them, since the _ had appropriate material in it." ]
task034-cb49f3c355a44766aeb37a4d670c701a
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: hangover. Question: Joe wanted to get rid of his hangover by taking a cold shower but the _ was too intense. Answer: hangover. Output:
[ "Joe wanted to get rid of his hangover by taking a cold shower but the _ was not intense enough." ]
task034-36f40c8240df465a9435a28ef9cf03fe
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: addiction. Question: His addiction made him put all the pills from his bottle into his mouth, until the _ was empty. Answer: bottle. Output:
[ "His addiction made him put all the pills from his bottle into his mouth, until the _ was full." ]
task034-4567412fd5354c7289d070a67217e93f
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: blood. Question: More blood came from the cut than from the puncture wound because the _ was deeper. Answer: cut. Output:
[ "More blood came from the cut than from the puncture wound because the _ was less deep." ]
task034-adcf01c13ca54b0090be17125ec7f9f5
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: work. Question: We all worked to make the cake and the icing beautiful despite _ being thick. Answer: cake. Output:
[ "We all worked to make the cake and the icing beautiful despite _ being thin." ]
task034-e64fd2c9a24b4ed5aa31656b86ea1558
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: blood. Question: Tom used a towel from his bathroom to soak up the blood until the _ got too wet. Answer: towel. Output:
[ "Tom used a towel from his bathroom to soak up the blood until the _ was all gone." ]
task034-de99dcf453564f6da7dd62206c936f3c
Definition: 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 | Positive Example 1 - 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. Positive Example 2 - 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. Negative Example 1 - 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. Negative Example 2 - 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. Now complete the following example - Input: Context Word: oil. Question: When deciding which oil to use for cooking, Thomas went with the peanut rather than the olive because the _ tasted unappealing to him. Answer: olive. Output:
[ "When deciding which oil to use for cooking, Thomas went with the peanut rather than the olive because the _ tasted tasty to him." ]
task034-e9e7eac538f441f6b85c525f80e0967a