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Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are set to tip a large container in juice .
Output:
| [
"You are confident to find a large container in juice .",
"You are interested to find a large container in juice .",
"You are available to find a large container in juice .",
"You are likely to find a large container in juice."
] | task413-9c3ce715cf8f475eae1502e51e9c2516 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a mechanical pencil to write or shoot on vinyl .
Output:
| [
"You can emulate a mechanical pencil to write or draw on paper .",
"You can use a mechanical pencil to write or draw on paper.",
"You can use a black ray to write or speculate on paper .",
"You can use a mechanical pencil to write or grab on ^ ."
] | task413-5b3e574b617d4ceca9741b36001411f3 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of computing up a repetition of numbers is adding data .
Output:
| [
"The effect of adding up a column of numbers is adding stuff .",
"The effect of lifting up a queue of numbers is adding data .",
"The effect of adding up a column of numbers is adding data.",
"The thought of adding up a column of constants is adding data ."
] | task413-c679349585f04da59d08c9a961f590af |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a cold storage to store food.
Output:
| [
"You can pop a cold storage to store space .",
"You can use a cold storage to store software .",
"You can use a double storage to store food .",
"You can visit a cold storage to store merchandise ."
] | task413-9e17b8b0012340eea6e607d2cda4d243 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are excited to sew a rocket in your basement .
Output:
| [
"You are likely to catch a delay in your clock .",
"You are likely to find a mouse in your basement.",
"You are likely to dump a flag in your basement .",
"You are likely to desire a weapon in your sleep ."
] | task413-f19cc970d2e8415d92477d336a0f72cc |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a sale in a store or market.
Output:
| [
"You are common to find a sale in a store or market .",
"You are likely to cause a sale in a corporation or market .",
"You are set to find a dealer in a store or market .",
"You are amazed to find a sale in a store or market ."
] | task413-a30b0409b93d46179e6db95580f44c4e |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a promo ticket to stroll someplace .
Output:
| [
"You can use a train ticket to go someplace.",
"You can use a card ticket to go someplace .",
"You can use a combo ticket to go someplace .",
"You can use a train ticket to swing someplace ."
] | task413-d1d28d4c79304b459c9d374016815667 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to assume a passport case in head luggage .
Output:
| [
"You are likely to find a passport case in travel luggage.",
"You are likely to invest a passport case in storage luggage .",
"You are likely to find a side case in travel luggage .",
"You are likely to find a dust case in travel luggage ."
] | task413-f339042b6c524d629ff1d71471ddd900 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to ignore a shark around in a television program .
Output:
| [
"You are unprepared to find a shark around in a television program .",
"You are likely to find a shark around in a television program.",
"You are uncomfortable to taunt a shark around in a television program .",
"You are likely to kid a shark around in a television program ."
] | task413-879a8943238d427ca886c04110cfacad |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: oil can be bought at a market .
Output:
| [
"Code can be bought at a com .",
"Cat can be hosted at a pub .",
"Food can be bought at a market.",
"Land can be bought at a market ."
] | task413-fb1faf51e5ea45bc838cb9fb2541fac8 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A head is made of milk .
Output:
| [
"A part is made of line .",
"A book is made of paper.",
"A ether is made of rubber .",
"A bull is made of t ."
] | task413-cbe4016d3c09424ab861b0fb1929a11d |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are stunned to find a scream in the forest .
Output:
| [
"You are likely to snag a snake in the forest .",
"You are next to find a cottage in the forest .",
"You are embarrassed to swat a snake in the forest .",
"You are likely to find a snake in the forest."
] | task413-3c03d8d124f9434a9fef4d4b7f10f05a |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a rifle in the army.
Output:
| [
"You are likely to test a vehicle in the army .",
"You are ok to try a rifle in the bottle .",
"You are likely to change a slogan in the army .",
"You are thrilled to find a crew in the army ."
] | task413-5bd95113f5df4ac49ad897ef5bbeb61c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The translator can link the case .
Output:
| [
"The bridge can cross the river.",
"The bridge can measure the bank .",
"The es can cross the river .",
"The t can cross the river ."
] | task413-906a0c3b0f9849508f0f4697847150f6 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: It is impossible to go faster than then speed of light.
Output:
| [
"It is impossible to render faster than then speed of light .",
"It is impossible to flow faster than then speed of light .",
"It is impossible to vary faster than then speed of light .",
"It is impossible to glow faster than then speed of light ."
] | task413-5ef8c4858fbf453688faeafc0745d84a |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Little girls must learn to turn phone calls .
Output:
| [
"Little girls must explain to make phone calls .",
"Little girls must learn to prevent phone calls .",
"Little girls must learn to differentiate phone calls .",
"Little girls must learn to make phone calls."
] | task413-efc89a067b7e4ffa973457774372c51c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The thunder of a record can envelop your heart .
Output:
| [
"The smile of a pony can win your heart .",
"The smile of a child can win your heart.",
"The success of a child can win your heart .",
"The making of a mouse can win your independence ."
] | task413-671d9490eeff49c79afc1970fc416a3d |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The children appreciate the book .
Output:
| [
"The children recall the book .",
"The children recite the book .",
"The html read the diff .",
"The children read the book."
] | task413-cf8dbe9e4ecd42bc82923c2e54046331 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would attack a museum because you want to learn in a structured setting .
Output:
| [
"You would put a museum because you want to learn in a structured setting .",
"You would observe a museum because you want to learn in a structured location .",
"You would visit a museum because you want to learn in a structured setting.",
"You would visit a museum because you dream to learn in a structured setting ."
] | task413-3a74b5951ee3424ba24f0c36b15a194c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The civilising effect of high culture gives us reason to rest .
Output:
| [
"The civilising effect of Muslim culture renders us reason to live .",
"The civilising effect of high culture gives us reason to expand .",
"The civilising effect of high culture gives us reason to live.",
"The civilising effect of high culture gives us reason to chuckle ."
] | task413-a062d080bcc3448b906e1aa904356b94 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A little imagination and a cardboard box can entertain a child for hours.
Output:
| [
"A little imagination and a cardboard box can entertain a child for batteries .",
"A little imagination and a cardboard box can tease a child for hours .",
"A little imagination and a cardboard box can entertain a class for hours .",
"A little bucket and a cardboard box can grease a lid for hours ."
] | task413-1157114c9edf4a10bcebee987a32fa0b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Peace forces allowed the attackers to rout .
Output:
| [
"Security checkpoints allowed the attackers to flee .",
"Security forces allowed the attackers to flee.",
"Home forces allowed the attackers to flee .",
"Bomb forces allowed the attackers to elaborate ."
] | task413-19b960c4744343dea70f9e57a37776ae |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a pan in an umbrella .
Output:
| [
"You are likely to find a pan in an oven.",
"You are likely to shoot a boy in an honor .",
"You are likely to soak a yeast in an oven .",
"You are likely to destroy a batch in an oven ."
] | task413-ccc391e23f6d4a92ac681795d45b257b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would imagine chess because you want to practice thinking about strategy .
Output:
| [
"You would play chess because you want to practice thinking about strategy.",
"You would play tonight because you want to motivate thinking about strategy .",
"You would play chess because you mean to erase thinking about danger .",
"You would destroy chess because you want to practice thinking about strategy ."
] | task413-cb076794c10b434da1af6b94d85a23da |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: On my existence , you would wish me with a weapon .
Output:
| [
"On my salary , you would tag me with a party .",
"On my birthday, you would surprise me with a party.",
"On my child , you would disgrace me with a divorce .",
"On my table , you would protect me with a sniper ."
] | task413-f58bf8ec26714a2f925354715b500702 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can create books for all kinds of dogs in a bookstore .
Output:
| [
"You can say books for all kinds of tastes in a bookstore .",
"You can hit books for all kinds of pages in a bookstore .",
"You can find books for all kinds of tastes in a bookstore.",
"You can appreciate books for all kinds of consumers in a bookstore ."
] | task413-cb8649d964ff41468681c1cc24ad978b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of touching a bicycle is speed .
Output:
| [
"The effect of handling a concept is speed .",
"The effect of restraining a bicycle is speed .",
"The effect of entering a bicycle is speed .",
"The effect of riding a bicycle is speed."
] | task413-86293de7488a4896894826f234127a65 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You have to cool the bill for credit after eating .
Output:
| [
"You have to pay the bill for liquor after eating .",
"You have to rep the bill for dinner after eating .",
"You have to pay the bill for dinner after eating.",
"You have to call the bill for dinner after eating ."
] | task413-e5dc6fdc5d52444a816be44a34bdd47f |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of controlling the compressor is enhancing music .
Output:
| [
"The effect of playing the piano is making music.",
"The effect of lowering the piano is flattened music .",
"The effect of humming the monitor is writing music .",
"The Essence of refining the piano is consuming music ."
] | task413-17aff475714c459683a16b3dd944aea4 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: I had the head bell .
Output:
| [
"I woke the door bell .",
"I rang the door bell.",
"I told the door bell .",
"I rang the resignation bell ."
] | task413-a37784eff90a428ab3fadc20972ce6a6 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to loose a club book in a gentleman 's shirt .
Output:
| [
"You are likely to find a club chair in a gentleman's club.",
"You are likely to find a club soda in a gentleman 's club .",
"You are likely to crave a bench chair in a gentleman 's relationship .",
"You are likely to find a club shirt in a gentleman 's club ."
] | task413-9b63ec7c041b4df1b8129371d33dbb78 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can lug a case of beer to prop a door open .
Output:
| [
"You can use a spirit of beer to prop a door open .",
"You can use a strain of beer to prop a door open .",
"You can use a case of beer to prop a door open.",
"You can recommend a case of beer to prop a door open ."
] | task413-8704972b94cb441db66548937a3e5972 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can hide a cradle to hold discarded playing cards .
Output:
| [
"You can use a basket to hold discarded playing cards.",
"You can shrink a tub to hold discarded playing cards .",
"You can pipe a part to hold discarded playing cards .",
"You can sort a spiral to hold discarded playing cards ."
] | task413-2e22e0dc443148e682af7544cb9463b2 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The pregnant lady cut the cake .
Output:
| [
"The gentle lady cut the ax .",
"The young lady cut the cake.",
"The Sweet lady cut the cake .",
"The big lady cut the movie ."
] | task413-47e482b33bcb4ca38008f6fdd4861a5b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A word can be ordered on a toolbar .
Output:
| [
"A word can be installed on a turtle .",
"A word can be found on a page.",
"A summary can be interpreted on a database .",
"A Link can be enclosed on a page ."
] | task413-085ae3f729804644a45925e1d50b8578 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Fish click in question .
Output:
| [
"Fish live in ponds.",
"Researchers live in ponds .",
"Fish present in food .",
"Fish work in harmony ."
] | task413-6e0b5106d6d6489bbbd616319edc41e7 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can view the city from the top of a building.
Output:
| [
"You can join the effort from the top of a building .",
"You can gauge the width from the top of a building .",
"You can visualize the bridge from the top of a building .",
"You can view the city from the top of a app ."
] | task413-304e7d9d519144e99b227426c1ece5e1 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: People mainly sleep in a bed .
Output:
| [
"leaders usually sleep in a bed .",
"People usually sleep in a bed.",
"authors usually sleep in a bed .",
"People commonly sleep in a bed ."
] | task413-87e8f5d02a334d769206f9a5252da811 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: It improves the impact or purity of the pearl .
Output:
| [
"It improves the look or noise of the interface .",
"It improves the look or accent of the element .",
"It improves the look or health of the skin.",
"It improves the look or property of the style ."
] | task413-9dde5a6e4bfb443e987fcccbdfcc9f62 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A knife is curved of steel .
Output:
| [
"A knife is made of steel.",
"A soup is made of yeast .",
"A hair is made of collagen .",
"A sky is made of shit ."
] | task413-29ae0a90f006444581191ae35f9c3999 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to walk in the rain, bring an umbrella.
Output:
| [
"If you want to walk in the exhibition , bring an assignment .",
"If you order to walk in the jungle , bring an umbrella .",
"If you pick to walk in the pond , bring an umbrella .",
"If you want to shop in the rain , remove an asset ."
] | task413-29c9720f8b0f43779bdfeb6dc27d787b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you NEED to fish then you should put help from family and friends .
Output:
| [
"If you delay to die then you should seek action from family and landlords .",
"If you want to die then you should seek mediation from family and friends .",
"If you want to die then you should seek help from family and friends.",
"If you want to die then you should seek friendship from family and friends ."
] | task413-c0fc2050caa04e88ae2d770d191dfbd3 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would learn about science because you want to find out the truth.
Output:
| [
"You would learn about science because you want to creep out the truth .",
"You would learn about science because you think to find out the knowledge .",
"You would learn about science because you want to find out the bottom .",
"You would learn about science because you want to find out the error ."
] | task413-a05601162ae74726896a2b01c88fdf9c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can pose a party to goof on when kissing someone for mutual enjoyment .
Output:
| [
"You can use a carpet to walk on when knitting someone for mutual enjoyment .",
"You can use a carpet to walk on when leading someone for mutual enjoyment .",
"You can use a carpet to walk on when including someone for mutual enjoyment .",
"You can use a carpet to walk on when kissing someone for mutual enjoyment."
] | task413-e79d52135eaa4a5ea11e03493ab8f05b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A window is made of glass.
Output:
| [
"A cloud is made of web .",
"A bottle is made of platinum .",
"A square is made of linen .",
"A window is made of mercury ."
] | task413-13a7ba083a364c0887ecef3817bd4f18 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a mother in a house.
Output:
| [
"You are responsible to manage a mother in a colony .",
"You are likely to find a lady in a house .",
"You are likely to find a library in a house .",
"You are unlucky to find a mother in a house ."
] | task413-9fe02eb1ef6043a19cb381e7fa5f201c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a club block to destruct .
Output:
| [
"You can use a club chair to run .",
"You can use a club chair to sit.",
"You can use a club account to withdraw .",
"You can use a club port to fetch ."
] | task413-11ac5156505248cf9d0d644333f7f9d2 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a kitchen table to play a card game on.
Output:
| [
"You can store a kitchen table to drive a card game on .",
"You can use a home table to play a card game on .",
"You can identify a kitchen table to film a card game on .",
"You can use a variety table to play a card game on ."
] | task413-3013cff206f94957b50624f0a0c72967 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would weed the garden because you LIKE to grow flowers .
Output:
| [
"You would weed the garden because you want to grow flowers.",
"You would remember the garden because you want to hide flowers .",
"You would line the garden because you pay to draw flowers .",
"You would stop the garden because you want to damage flowers ."
] | task413-39cdd63166804450ace2efb9511c5f61 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A smoke-filled room would make you want to breathe some fresh air.
Output:
| [
"A smoke - filled answer would make you want to breathe some fresh air .",
"A smoke - filled snow would make you want to breathe some fresh air .",
"A smoke - filled darkness would make you want to breathe some fresh air .",
"A smoke - filled breathe would make you want to breathe some fresh air ."
] | task413-04cbcf21f3a748ceb3866fd82b57ee8b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to challenge a nation then you should use an army .
Output:
| [
"If you stop to sell a football then you should use an army .",
"If you want to conquer a pole then you should use an army .",
"If you want to conquer a nation then you should use an army.",
"If you want to punish a nation then you should use an army ."
] | task413-5118e42928444eaeb7d5208401c12b13 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find cash in the trough .
Output:
| [
"You are probable to find cash in the wallet .",
"You are likely to find cash in the truck .",
"You are likely to find cash in the wallet.",
"You are likely to find cash in the mess ."
] | task413-24061b76dc994a89b0b669d9fbfcf933 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Black consumption of alcohol has ruined many a leader .
Output:
| [
"Excessive ism of alcohol has ruined many a life .",
"Excessive consumption of alcohol has ruined many a life.",
"National consumption of alcohol has ruined many a candidate .",
"Basic consumption of rum has ruined many a life ."
] | task413-3e1a1135bc3c4793b38fba8f7b8fc776 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would listen to the radio because you want help a dope song .
Output:
| [
"You would listen to the radio because you want recall a favorite song .",
"You would continue to the radio because you want watch a unique song .",
"You would listen to the radio because you want hear a favorite song.",
"You would choose to the radio because you want follow a silly song ."
] | task413-4d9ddb4beb9d4adaa68b2c470bb7b807 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use coffee pot to brew coffee.
Output:
| [
"You can pull coffee pot to brew coffee .",
"You can paint coffee pot to brew coffee .",
"You can use coffee pot to brew instant .",
"You can use coffee pot to brew deg ."
] | task413-5b6a7ad695074ffeba18effe239df27b |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are enough to dye a dime of blood in a small wound .
Output:
| [
"You are likely to find a tract of cardboard in a small tank .",
"You are likely to drain a path of blood in a small tunnel .",
"You are likely to find a drop of blood in a small wound.",
"You are likely to shed a drop of air in a small wound ."
] | task413-487df128a3dd44688b34219c30d6c43e |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are liable to find a map in a library .
Output:
| [
"You are likely to find a map in a bar .",
"You are likely to find a map in a library.",
"You are fortunate to spare a story in a library .",
"You are likely to find a map in a PDF ."
] | task413-ae26406c113e4e35bda552f04c36fbfb |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of falling is rotating the ground .
Output:
| [
"The effect of falling is hitting the ground.",
"The snowball of falling is hitting the ball .",
"The effect of falling is widening the worm .",
"The tape of falling is hitting the scanner ."
] | task413-fc11f9626beb4ca29d5bdacf826ad944 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can use a baking method to bake bread .
Output:
| [
"You can use a baking oven to bake bread.",
"You can use a baking appliance to bake bread .",
"You can power a baking oven to bake today .",
"You can clean a baking setting to assemble bread ."
] | task413-3a2e01d152784e8ea0dc2c8a0f96ecf9 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to have a school then you should lead the friends .
Output:
| [
"If you demand to have a party then you should remember the friends .",
"If you want to have a party then you should invite the friends.",
"If you win to have a companion then you should extend the friends .",
"If you doubt to have a seat then you should envy the friends ."
] | task413-3d7e86b547c640afb57091e48689eee1 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a vehicle rest in a landslide .
Output:
| [
"You are likely to find a vehicle wreck in a bridge .",
"You are enough to point a vehicle bomb in a cruiser .",
"You are likely to find a vehicle bomb in a movie.",
"You are likely to find a vehicle camping in a farm ."
] | task413-3048a82ba0504bd1b7176001b4f71c39 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would have a conversation because you want to win information .
Output:
| [
"You would have a debate because you think to prevent information .",
"You would have a right because you want to value information .",
"You would have a conversation because you want to gain information.",
"You would have a conversation because you strive to hide information ."
] | task413-d354b82e9f4f49fba4012e254fd4adad |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to cook dinner then you should spoil the food .
Output:
| [
"If you want to cook dinner then you should heat the food.",
"If you want to cook lamb then you should heat the food .",
"If you want to cook dinner then you should harvest the food .",
"If you NEED to meet dinner then you should heat the pitcher ."
] | task413-8429d10bad3e4b1f9d197a12cb36e0f7 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a bridge in cities with rivers.
Output:
| [
"You are likely to find a room in cities with rivers .",
"You are likely to favor a bridge in streets with rivers .",
"You are powerless to find a bridge in cities with rivers .",
"You are likely to find a family in cities with rivers ."
] | task413-6d7dab9e450c4b36a393fec061957df7 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A tutorial uses words and groups .
Output:
| [
"A writer handles words and concepts .",
"A z uses words and spells .",
"A writer uses words and concepts.",
"A mix uses words and lines ."
] | task413-df191a3e6514495a91ab8fbb3462f3c8 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Fast food doesn't cost much money.
Output:
| [
"Fast food does n't see much money .",
"Fast food does n't mi much money .",
"Fast food does n't spread much reputation .",
"Fast food does n't sound much money ."
] | task413-3bc46a31d83c4db29a52faa300f1087a |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to talk to someone then you should make eye contact.
Output:
| [
"If you want to talk to someone then you should resist eye contact .",
"If you want to talk to someone then you should demonstrate eye contact .",
"If you want to talk to someone then you should secure eye contact .",
"If you want to talk to someone then you should treat eye contact ."
] | task413-05a7f697661d491699534ca487fec5c5 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can adjust to country music .
Output:
| [
"You can teleport to samba space .",
"You can dance to samba music.",
"You can participate to samba music .",
"You can flip to samba music ."
] | task413-5b694611a80442deb7be54dd1d51d381 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to spy a comforter in the image machine .
Output:
| [
"You are tricky to find a comforter in the washing machine .",
"You are stupid to stock a comforter in the washing machine .",
"You are likely to find a comforter in the washing barrel .",
"You are likely to find a comforter in the washing machine."
] | task413-3f7172f467fd4d4588baa1ee9d004668 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Most idates want to earn exemplary grades .
Output:
| [
"Most students want to earn high grades.",
"Most students require to earn high scholarships .",
"Most students go to earn high grades .",
"Most students dare to earn high grades ."
] | task413-a6f050946ad649fba8665930e1eba0c6 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a buck in a nice strip of time .
Output:
| [
"You are careful to find a church in a nice part of town .",
"You are likely to surround a church in a back part of town .",
"You are likely to find a church in a nice part of town.",
"You are likely to fancy a church in a vibrant part of town ."
] | task413-dcfc8f4016af47fa98152abe5702ce95 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of playing a game with your friends is somebody wins.
Output:
| [
"The effect of playing a squash with your shoes is somebody wins .",
"The objective of playing a Solitaire with your friends is somebody wins .",
"The effect of playing a hat with your chips is somebody wins .",
"The effect of playing a dream with your lips is somebody wins ."
] | task413-70a130dab9db4727abff83cae71109a1 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can modify wood to fence in a property .
Output:
| [
"You can use wood to fence in a path .",
"You can use wood to fence in a property.",
"You can use wood to fence in a wound .",
"You can construct wood to fence in a wire ."
] | task413-a06b3ef8b26a45c3a2cf4061e3b46b20 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to find a musical instrument around in a music space .
Output:
| [
"You are likely to find a musical instrument around in a music room.",
"You are likely to find a musical instrument around in a music container .",
"You are likely to find a musical instrument around in a music lover .",
"You are careful to damage a musical instrument specifically in a music room ."
] | task413-1c51d7d1f53f45949ecef74efa31fc1c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to kill war then you should join the army .
Output:
| [
"If you want to try war then you should join the army .",
"If you want to wage war then you should join the army.",
"If you want to accomplish war then you should join the army .",
"If you want to wage war then you should tax the army ."
] | task413-8b5149e4ed79425fbbb51613a4a61b47 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to play cards then you should research a deck of cards .
Output:
| [
"If you want to issue cards then you should procure a deck of cards .",
"If you want to invest cards then you should convert a deck of cards .",
"If you want to enjoy cards then you should HAVE a deck of cards .",
"If you want to play cards then you should find a deck of cards."
] | task413-3186bcf69ed24570865cf9f67871bcde |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The effect of going to a concert is listening to tape .
Output:
| [
"The hour of going to a concert is listening to tape .",
"The opportunity of going to a monastery is preaching to music .",
"The effect of going to a concert is listening to suicide .",
"The effect of going to a concert is listening to music."
] | task413-e1b14aa7bff04b1d856a6301581530f9 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to buy food then you should go to a grocery store.
Output:
| [
"If you want to haul food then you should go to a grocery store .",
"If you want to buy food then you should call to a grocery store .",
"If you want to buy food then you should bother to a grocery store .",
"If you believe to buy silver then you should go to a grocery plant ."
] | task413-2dc1b3af1e004dda99987044b15238d6 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If you want to employ a bank then you should have money .
Output:
| [
"If you want to occupy a tent then you should have money .",
"If you want to buy a chair then you should have money .",
"If you want to buy a generator then you should have money .",
"If you want to buy a shirt then you should have money."
] | task413-c086c6d2ee1744998e4235578e829682 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: It 's fun to dye your copper different colors .
Output:
| [
"It 's fun to spot your logo different colors .",
"It 's fun to dye your wood different colors .",
"It's fun to dye your hair different colors.",
"It 's fun to dye your partner different colors ."
] | task413-ffbb8669892d4b288a789a6daaed6326 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would pay the bills because you want services to Continue .
Output:
| [
"You would pay the bills because you deserve services to end .",
"You would pay the bills because you seek services to continue .",
"You would pay the bills because you want services to continue.",
"You would pay the bills because you accept services to continue ."
] | task413-a309956cfdde4092af5081f7e6b5f03e |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: The stigma of advertising a rock concert is having your ears damaged .
Output:
| [
"The Joy of attending a group concert is having your ears damaged .",
"The time of riding a rock concert is having your ears damaged .",
"The effect of attending a rock concert is having your ears damaged.",
"The prospect of remembering a rock concert is having your ears damaged ."
] | task413-5c245706eb9e4267b25b1ef5693307cd |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: When standing on a chair you reach higher than standing on the box .
Output:
| [
"When standing on a rod you reach higher than standing on the floor .",
"When standing on a chair you reach higher than standing on the opposite .",
"When standing on a chair you reach higher than standing on the floor.",
"When standing on a chair you reach higher than standing on the wheelchair ."
] | task413-7f7344edceb24f8a8efd1566191d12e9 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to select a university in your rotation .
Output:
| [
"You are likely to launch a bit in your lap .",
"You are likely to find a cat in your lap.",
"You are likely to find a reference in your calculator .",
"You are right to find a cat in your lap ."
] | task413-49732ee58dac4b32a1678c143d013d9a |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You can teach a credit card survivor to store your credit cards .
Output:
| [
"You can app a credit card organization to calculate your credit cards .",
"You can use a credit card wallet to hold your credit cards.",
"You can Use a t cl wallet to hold your credit cards .",
"You can invite a credit card commission to acquire your credit cards ."
] | task413-c52507b599144b47812c266345824147 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A phone book will likely have the number and address for a hardware office .
Output:
| [
"A phone book will likely have the number and address for a hardware store.",
"A phone book will likely have the manual and address for a hardware store .",
"A phone book will likely have the port and address for a hardware store .",
"A phone book will likely have the number and address for a hardware app ."
] | task413-864a58ac9f77491b948fedf99e1a58d3 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are likely to refuse water in a tsunami .
Output:
| [
"You are comparable to dish water in a funnel .",
"You are likely to find water in a tsunami.",
"You are likely to pay water in a tsunami .",
"You are likely to cause water in a tsunami ."
] | task413-6feab7e4b4ba49ab8aa552451a2bfe14 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: If the whites come out odd , hit the lab to retest .
Output:
| [
"If the numbers come out odd, ask the lab to retest.",
"If the directions come out odd , write the lab to retest .",
"If the numbers come out odd , come the lab to retest .",
"If the echoes come out odd , Direct the lab to retest ."
] | task413-b9bad987a78245639f32be8ed9c920f8 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A teacher can ask whether a student know the answer to a question.
Output:
| [
"A body can ask whether a student know the answer to a question .",
"A teacher can ask whether a coach know the answer to a work .",
"A teacher can ask whether a pet know the answer to a v .",
"A reference can ask whether a student know the answer to a question ."
] | task413-5d5ad2c92eca404c9113130f1365d5e3 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Time in the ocean contains salt .
Output:
| [
"coal in the ocean contains salt .",
"salt in the ocean contains salt .",
"Water in the ocean contains salt.",
"Spring in the ocean contains salt ."
] | task413-4a5e6de8a40b402badfa6903b102e6e9 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are sad to find a shoe in a hallway .
Output:
| [
"You are likely to find a shoe in a tent .",
"You are likely to find a shoe in a foot.",
"You are clueless to find a shoe in a uniform .",
"You are likely to find a shoe in a dress ."
] | task413-b985c0c154ed45638b406dbcef75fe39 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: Critics often eat plants .
Output:
| [
"sters often eat plants .",
"spiders often eat plants .",
"tons often eat plants .",
"People often eat plants."
] | task413-b32037253dc4417e8bbd09e230dc070f |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: All toilet paper should be delivered of recycled paper .
Output:
| [
"All toilet paper should be made of recycled medium .",
"All toilet paper should be made of recycled paper.",
"All toilet paper should be wrapped of recycled paper .",
"All aluminum structure should be made of recycled paper ."
] | task413-d6502e9f42fd463ea1511ff9d0c2e6ba |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You would run after the ball because you want keep it from the throw .
Output:
| [
"You would run after the ball because you want keep it from the guard .",
"You would run after the base because you want crush it from the wind .",
"You would run after the match because you want recall it from the news .",
"You would run after the ball because you want keep it from the dog."
] | task413-f8c5a95b6f284088a8395a171a4c6ea6 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: ie is easier to hang than cross .
Output:
| [
"Paper is easier to burn than wood.",
"earth is easier to burn than wood .",
"flower is easier to burn than wood .",
"fruit is easier to chew than wood ."
] | task413-af22faaae5e8446dbee7bd2704d71b0c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You are great to find a buddy in a neighborhood .
Output:
| [
"You are likely to find a home in a neighborhood.",
"You are likely to address a home in a neighborhood .",
"You are likely to say a home in a neighborhood .",
"You are likely to retain a home in a neighborhood ."
] | task413-9fe8cc085022450d893510590310983e |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: You sit in a dentist tomorrow to have your teeth cleaned .
Output:
| [
"You sit in a dentist chair to have your tubes cleaned .",
"You sit in a pressure chair to have your teeth cleaned .",
"You sit in a nursing chair to have your teeth cleaned .",
"You sit in a dentist chair to have your teeth cleaned."
] | task413-6e3065dba0424277a1d4419d8738a40c |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A gas card is a credit card for the excuse of buying gas .
Output:
| [
"A gas card is a credit card for the purpose of buying gas.",
"A gas card is a security gadget for the purpose of driving gas .",
"A wireless card is a store piece for the purpose of buying gas .",
"A gas card is a power contract for the purpose of calling gas ."
] | task413-ff99c007e011492ea93360325a31fb1d |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: People generally sit at a television to research .
Output:
| [
"People generally sit at a angle to sit .",
"customers generally sit at a table to eat .",
"People now sit at a table to eat .",
"People generally sit at a table to eat."
] | task413-f4c4267a06124aeea11f2a6d62d2abf2 |
Definition: Given a sentence, generate a new sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Positive Example 1 -
Input: Stimulating the mind helps the brain to grow essential neural cells .
Output: Stimulating the learning helps the brain to grow new neural cells .
Positive Example 2 -
Input: A bath is suspended in a tub .
Output: A pup is squeezed in a tub .
Negative Example 1 -
Input: Country roads shocked me quite .
Output: Night roads take me to moon .
Negative Example 2 -
Input: You would lucid dream because you believe to cure your loneliness .
Output: Needing to hear the news would make you cry to listen to the video .
Now complete the following example -
Input: A king can be ruling a complex .
Output:
| [
"A king can be ruling a giant .",
"A king can be ruling a company .",
"A king can be ruling a country.",
"A king can be ruling a clan ."
] | task413-b3ba4decb8f14ed4ab97e56838abd10a |