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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 would argue the bills because you elect to bear receiving services .
Output:
| [
"You would pay the bills because you want to continue receiving services.",
"You would pay the bills because you work to continue receiving services .",
"You would pay the bills because you want to continue receiving letters .",
"You would pay the bills because you want to continue receiving presents ."
] | task413-418000fed30d4d9290544e468040b7ce |
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: So can by girls .
Output:
| [
"marriage can follow girls .",
"help can create girls .",
"Boys can kiss girls.",
"Fire can interest girls ."
] | task413-e2668a0df6354ed495088e00fdb07a28 |
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 mother can be meeting her son for instance .
Output:
| [
"A Friend can be meeting her son for lunch .",
"A mother can be meeting her son for lunch.",
"A mother can be meeting her son for skating .",
"A journalist can be meeting her son for lunch ."
] | task413-4683926dd3a54f0489afbae888120ba6 |
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 pair in a palm tree .
Output:
| [
"You are distressed to find a monkey in a sleeping carriage .",
"You are likely to find a monkey in a palm tree.",
"You are likely to confuse a monkey in a palm tree .",
"You are likely to reach a monkey in a palm tree ."
] | task413-9fffa84cc11848c68ae5be2883881341 |
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 felt bag in an elephant .
Output:
| [
"You are likely to find a stray bag in an encyclopedia .",
"You are likely to find a flight bag in an airport.",
"You are powerless to find a flight bag in an airport .",
"You are hesitant to find a flight bag in an airport ."
] | task413-b193b192471944ccacd43064d1676fd6 |
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 collar can seal off a zipper .
Output:
| [
"A door can seal off a room.",
"A bug can seal off a job .",
"A bat can seal off a life .",
"A missile can back off a dot ."
] | task413-cc34dc4f38994d0dbb9156ac2b44cd62 |
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 like a museum to store experiments .
Output:
| [
"You can use a Finder to visualize artifacts .",
"You can use a printer to prepare artifacts .",
"You can use a museum to store artifacts.",
"You can use a graphic to control artifacts ."
] | task413-1815ba5397b44e018c97d66448d3d4ee |
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 cube drawer to keep a message in .
Output:
| [
"You can use a desk drawer to keep a file in.",
"You can use a desk drawer to implement a file in .",
"You can assume a desk drawer to develop a file in .",
"You can use a desk drawer to embed a file in ."
] | task413-2d90e4ccc102468c8fe51269958ad9ac |
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 nowhere to poop a gun in a bathroom .
Output:
| [
"You are likely to find a bath in a bathroom.",
"You are likely to find a bath in a hall .",
"You are nice to extend a bath in a rainy .",
"You are likely to text a meeting in a game ."
] | task413-1b28c74636eb44febf08e09977463257 |
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 passport case in a pocket.
Output:
| [
"You are likely to find a passport case in a burglary .",
"You are likely to find a shotgun case in a pocket .",
"You are keen to find a passport case in a pocket .",
"You are likely to find a passport case in a street ."
] | task413-9fec364ef11f48c991358ae1b3514b4f |
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 attend a rock concert because you want to break your ears.
Output:
| [
"You would light a rock opera because you want to break your ears .",
"You would attempt a rock challenge because you want to break your ears .",
"You would attend a rock concert because you continue to curse your ears .",
"You would attend a rock classic because you want to break your ears ."
] | task413-ee53164ce2fb4b5b828c0d78182d9148 |
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 climbing a mountain is reaching the top.
Output:
| [
"The effect of climbing a mountain is celebrating the top .",
"The effect of climbing a mountain is destroying the top .",
"The effect of climbing a mountain is reinforcing the top .",
"The symptom of gaining a mountain is reaching the top ."
] | task413-58db15e3bac04bd79d83dda2f63f1446 |
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 an apartment building easily in the suburbs .
Output:
| [
"You are likely to find an apartment building nowhere in the suburbs .",
"You are likely to find an apartment service around in the suburbs .",
"You are likely to find an apartment building generally in the suburbs .",
"You are likely to find an apartment building around in the suburbs."
] | task413-9a5afecb4b0c454a88e45afe365b6551 |
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 in industrialised countries are overdosing on sugars, fats and salt.
Output:
| [
"People in industrialised countries are overdosing on sugars , fats and stress .",
"People in industrialised countries are overdosing on sugars , fats and pasta .",
"People in industrialised countries are overdosing on sugars , fats and hydrogen .",
"People in industrialised countries are overdosing on sugars , fats and vitamin ."
] | task413-8a327a8a1d054a82a6c497971afe0730 |
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 apple fell from the refrigerator .
Output:
| [
"The apple fell from the tree.",
"The apple fell from the mother .",
"The apple fell from the stone .",
"The apple fell from the plum ."
] | task413-3d8e16924bd746bd93166ae9b6d87ba1 |
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 process bread to enable a peanut butter and jelly use .
Output:
| [
"You can use bread to make a peanut butter and jelly sandwich.",
"You can bring bread to offer a peanut butter and jelly spoon .",
"You can compress bread to digest a peanut butter and jelly cr .",
"You can use bread to knit a peanut butter and tuna sandwich ."
] | task413-7878be5035da418ca480fc8188028ab1 |
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 neck is extended for kissing .
Output:
| [
"A curl is used for kissing .",
"A lover is famed for kissing .",
"A match is used for kissing .",
"A neck is used for kissing."
] | task413-633e1ba9c1ed4913aabf23b5a34c8c20 |
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 go to court to protect more surveillance .
Output:
| [
"must go to Belgium to learn more facts .",
"People go to IRC to wait more issues .",
"People suggested to share to learn more answers .",
"People go to college to learn more facts."
] | task413-ad1c7c454f4043e0aa997ef9d7d03411 |
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 pass into a scan because you want your brain to get fixed .
Output:
| [
"You would shatter into a tile because you want your brain to get fixed .",
"You would dump into a body because you want your brain to get fixed .",
"You would transfer into a photo because you want your brain to get fixed .",
"You would go into a coma because you want your brain to get fixed."
] | task413-9b68c223c07e48028e98e0c75998d908 |
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: Some ducks swim in the water .
Output:
| [
"Some birds remain in the water .",
"Some birds swim in the bath .",
"Some oys swim in the water .",
"Some birds swim in the water."
] | task413-b9966666f165451db5aa799dc6d30fa0 |
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 ging is for making money .
Output:
| [
"A capitalism is for making money .",
"A aire is for making money .",
"A job is for making money.",
"A story is for making money ."
] | task413-ac9c186d8b4042ca8a3a1fd21870ed2b |
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 move to drive to work then you should get in your car .
Output:
| [
"If you want to sneak to work then you should get in your car .",
"If you want to drive to work then you should get in your uniform .",
"If you want to drive to work then you should get in your car.",
"If you threaten to drive to work then you should get in your car ."
] | task413-0cff671fe66e42449568ce1edd16ce50 |
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 remember a phone number because you dare to call it ofter .
Output:
| [
"You would remember a phone friend because you want to call it ofter .",
"You would remember a phone number because you want to call it ofter.",
"You would remember a phone hotline because you want to call it ofter .",
"You would remember a phone booth because you want to call it ofter ."
] | task413-b8090a943ed94adc916797a09fdbc924 |
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 set fire to the shop .
Output:
| [
"The children set fire to the site .",
"The children set fire to the school.",
"The children set fire to the shelter .",
"The children set fire to the pumpkin ."
] | task413-80b7a01dc3e649d5b68f58333e2dfa37 |
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: My brother can bend a deck of cards .
Output:
| [
"My lawyer can deal a deck of cards .",
"My brother can defeat a deck of cards .",
"My brother can deal a deck of cards.",
"My one can explain a deck of cards ."
] | task413-f95889655da4472895c939280905f88c |
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 hear singing then you should turn on the radio.
Output:
| [
"If you stop to hear singing then you should place on the cd .",
"If you want to back singing then you should think on the radio .",
"If you await to hear singing then you should throw on the champagne .",
"If you want to success singing then you should log on the radio ."
] | task413-dd7f43a6bef44fe1894a736e9531d467 |
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 the sun in the sky.
Output:
| [
"You are likely to find the sun in the yard .",
"You are likely to attack the map in the sky .",
"You are likely to find the sun in the spring .",
"You are likely to find the sun in the extreme ."
] | task413-179eb6f473c8408ea88e762185e4abc9 |
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 come to have jobs , but there are n't always enough assistants .
Output:
| [
"People help to have jobs , but there are n't always enough jobs .",
"People Want to have jobs , but there are n't always enough jobs .",
"People want to have jobs, but there aren't always enough jobs.",
"People want to have problems , but there are n't always enough jobs ."
] | task413-1681fb63e3ed4ecd805dfaaa45d1afa6 |
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 pray to wake up in the morning then you should omit tea .
Output:
| [
"If you want to wake up in the morning then you should drink tea.",
"If you want to wake up in the morning then you should drink vinegar .",
"If you wear to wake up in the morning then you should fire tea .",
"If you change to wake up in the morning then you should grind tea ."
] | task413-73a95dcac1f44486961a588fb83e3878 |
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 post office in a family or city .
Output:
| [
"You are likely to find a tourist cottage in a town or city .",
"You are likely to find a post office in a town or city.",
"You are unusual to walk a post office in a town or city .",
"You are likely to find a post office in a site or city ."
] | task413-8eb58badacc946b7a7ce9ece9e251d46 |
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 need a ticket to enter a movie queue .
Output:
| [
"You need a ticket to enter a trade theatre .",
"You need a ticket to enter a movie theatre.",
"You need a film to enter a movie theatre .",
"You need a companion to enter a movie theatre ."
] | task413-516ce3a5b3034e679985cb6bd184b10e |
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 use a course then you should fall in a situation .
Output:
| [
"If you want to take a course then you should enroll in a school.",
"If you want to take a course then you should increase in a school .",
"If you stand to take a course then you should enroll in a school .",
"If you teach to reach a course then you should create in a school ."
] | task413-14279835acba4f9f98f6bb048951ab60 |
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 make a better world then you should exchange with others .
Output:
| [
"If you want to avoid a better confrontation then you should help with others .",
"If you want to consider a better project then you should involve with others .",
"If you want to make a better world then you should work with others.",
"If you please to make a better world then you should bargain with others ."
] | task413-dd8f0f7fa832477a9d6f0d00c3d1586c |
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 enter a movie because the demons were okay .
Output:
| [
"You would watch a card because the writers were outstanding .",
"You would watch a movie because the reviews were insane .",
"You would watch a movie because the reviews were good.",
"You would consume a movie because the experiences were satisfactory ."
] | task413-548cb151530c46db8124b7e2bf20b637 |
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 chase a video because you pay to cover a movie .
Output:
| [
"You would frame a video because you rent to see a movie .",
"You would view a slide because you want to see a bullet .",
"You would view a video because you want to see a movie.",
"You would view a test because you want to see a Comment ."
] | task413-7bdb2c206b7e422e80d75df6b4f02fff |
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 glassed roof in a green hallway .
Output:
| [
"You are likely to find a glassed roof in a green centre .",
"You are likely to find a fitted roof in a busy house .",
"You are likely to establish a glassed island in a green house .",
"You are likely to find a glassed roof in a green house."
] | task413-71083c9ebc234cf5801fdfdb6f8eff5f |
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 snap a skirt around in a home .
Output:
| [
"You are likely to guide a team around in a home .",
"You are anxious to distribute a mouse around in a home .",
"You are likely to find a mouse around in a home.",
"You are likely to trap a device around in a home ."
] | task413-2dc23d9a085341c68a801881eb67cbb3 |
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 climbed the ladder to the roof.
Output:
| [
"I closed the ladder to the roof .",
"I covered the sill to the roof .",
"I increased the shelter to the roof .",
"I Saw the ladder to the roof ."
] | task413-1c5b28f09b5841439d8bde1640db65f6 |
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 format a piece of paper to query on .
Output:
| [
"You can fashion a piece of candy to write on .",
"You can bookmark a piece of scenery to write on .",
"You can use a pan of filament to squeeze on .",
"You can use a piece of paper to write on."
] | task413-b33c659b682d424f882ef123c17cff72 |
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: Washing your hands requires soap, water and hands.
Output:
| [
"Washing your hands requires soap , ton and potatoes .",
"Washing your bones requires soap , water and hands .",
"getting your hands requires soap , water and hands .",
"Washing your hands requires writing , verb and hands ."
] | task413-a1d4b9113b924ee3b53e9d23aadf399f |
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 much easier to watch life if you have enough money .
Output:
| [
"It 's much easier to enjoy lifestyle if you have enough money .",
"It's much easier to enjoy life if you have enough money.",
"It 's much easier to believe life if you have enough self .",
"It 's much easier to value life if you have enough money ."
] | task413-c994d687991642c08313086ac0c7e1f3 |
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 an injury attack because you want to pay to the hospital .
Output:
| [
"You would have an asthma attack because you want to pump to the star .",
"You would have an asthma attack because you want to go to the arena .",
"You would have an asthma attack because you want to go to the hospital.",
"You would have an car attack because you want to train to the hospital ."
] | task413-20502331db8045c888601da27a394166 |
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: Somewhere in the park can be is flowers.
Output:
| [
"Somewhere in the pond can be is flowers .",
"Somewhere in the valley can be is flowers .",
"Somewhere in the womb can be is flowers .",
"Somewhere in the design can be is flowers ."
] | task413-674192df9cb941aea8e65af7b80389a7 |
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 baby will churn a vampire to ashes .
Output:
| [
"The o will avoid a dump to ashes .",
"The sun will pit a vampire to ashes .",
"The sun will tame a vampire to ashes .",
"The sun will burn a vampire to ashes."
] | task413-10297526661442a58ed3de5aff8e6f64 |
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 limp dog in a fat chicken 's lap .
Output:
| [
"You are likely to find a small dog in a fat lady's lap.",
"You are likely to find a small dog in a fat tourist 's lap .",
"You are likely to find a small dog in a fat pedestrian 's lap .",
"You are smart to find a calm dog in a fat lady 's bath ."
] | task413-478a6b1489e241c589f3b1289441d422 |
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 lose track of time , you LL be late .
Output:
| [
"If you lose track of time, you may be late.",
"If you lose feel of time , you may be late .",
"If you lose record of person , you may be late .",
"If you lose track of time , you vill be late ."
] | task413-b1cb6a978e594af0a2b9fb8f7e7381cd |
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 detonated, a nuclear weapon produces a mushroom cloud.
Output:
| [
"When detonated , a whole tip produces a mushroom cloud .",
"When detonated , a compact component produces a mushroom cloud .",
"When defined , a nuclear weapon produces a mushroom cloud .",
"When detonated , a nuclear weapon melts a control cloud ."
] | task413-ecb9925da71c4838b007a0136b7674d8 |
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 secretary helps someone to organize his work.
Output:
| [
"A secretary helps someone to cover his work .",
"A secretary helps someone to register his work .",
"A secretary employs someone to subcontract his work .",
"A secretary helps someone to examine his work ."
] | task413-0bf21c209cf248348d85efe8577fe660 |
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 mouse in / the water .
Output:
| [
"You are likely to find a mouse in l the water .",
"You are likely to find a mouse in too the water .",
"You are likely to find a mouse in near the water.",
"You are inclined to pet a mouse in near the water ."
] | task413-335ebb89b7364f649cae66a45080a63f |
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 plane ticket in an agent .
Output:
| [
"You are likely to find a plane ticket in an ob .",
"You are likely to launch a plane trip in an airport .",
"You are likely to find a plane ticket in an earthquake .",
"You are likely to find a plane ticket in an airport."
] | task413-be9d4b0c946d45bbbbf5d1f58c5a4690 |
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 serve to member other countries then you should obtain a caution .
Output:
| [
"If you want to visit other neighbours then you should license a passport .",
"If you want to visit other countries then you should obtain a van .",
"If you want to visit other countries then you should obtain a uniform .",
"If you want to visit other countries then you should obtain a passport."
] | task413-b946c00a7c8b49d9bcc90ddac17e34f9 |
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 dig a line to make a splash .
Output:
| [
"You can use a pool to make a splash.",
"You can use a bean to spin a splash .",
"You can use a token to exit a splash .",
"You can use a gradient to improve a splash ."
] | task413-3b74ba46886d4bf0859a39ab1985ae0c |
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 fake woolen canvas to shoot a sweater .
Output:
| [
"You can present woolen fabric to make a sweater .",
"You can USE woolen fabric to patch a sweater .",
"You can use woolen fabric to make a sweater.",
"You can slip woolen fabric to make a sweater ."
] | task413-052a50773f474292b82f527f6e1ff0d0 |
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 goal to give a clue then you should express hints and gestures .
Output:
| [
"If you tend to give a clue then you should give hints and gestures .",
"If you want to elicit a clue then you should give hints and gestures .",
"If you agree to give a clue then you should plot hints and gestures .",
"If you want to give a clue then you should give hints and gestures."
] | task413-5dd48b7d2996462ba44a1003a79d6c84 |
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 lady in church.
Output:
| [
"You are likely to find a lead in P .",
"You are likely to find a mother in church .",
"You are likely to find a love in church .",
"You are likely to find a passion in church ."
] | task413-29c9965a27964b549bbab4a2bf7f6815 |
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 tooth in a mold .
Output:
| [
"You are likely to find a tooth in a mouth.",
"You are common to find a tooth in a mouth .",
"You are likely to find a tooth in a deposit .",
"You are grateful to find a tooth in a mouth ."
] | task413-43431644b7f8482a895b82827d793bc0 |
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 the frame is relaxed you can fill through a doorway .
Output:
| [
"When the picture is open you can walk through a doorway .",
"When the door is open you can walk through a doorway.",
"When the gym is open you can walk through a doorway .",
"When the school is open you can walk through a doorway ."
] | task413-b06ebae3175b46388efc01f130599762 |
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 receive a degree then you should go to school.
Output:
| [
"If you want to transfer a degree then you should go to PhD .",
"If you want to receive a degree then you should adhere to Rule .",
"If you want to train a degree then you should go to graduation .",
"If you NEED to receive a degree then you should aspire to school ."
] | task413-9be271b64fa94deeaa29a40310038e9a |
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 horse to win a race.
Output:
| [
"You can hit a horse to improve a race .",
"You can use a draw to win a race .",
"You can contest a policy to win a price .",
"You can attempt a type to win a series ."
] | task413-9f89cbd5f16548019411cec04fb3cf05 |
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 stars die they become null units .
Output:
| [
"When stars die they become black holes.",
"When fish die they pop black things .",
"When grandparents die they become big names .",
"When stars prefer they know black scientists ."
] | task413-d98284db659b47858df4070a5c099a9e |
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 kid can buy ice cream from a truck.
Output:
| [
"A kid can buy ice cream from a bowl .",
"A kid can rescue ice storm from a movie .",
"A kid can boil ice skating from a sandbox .",
"A kid can buy ice cream from a gun ."
] | task413-ef98696c02624338ad4938e1bec87f0b |
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 cemetery in a jungle or in the desert .
Output:
| [
"You are likely to show a snake in a jungle or in the desert .",
"You are likely to find a cell in a jungle or in the desert .",
"You are necessary to find a facility in a palace or in the desert .",
"You are likely to find a snake in a jungle or in the desert."
] | task413-8a2f0599a71c4ebb807af91ca9dd2060 |
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 read to your children then you should buy some books.
Output:
| [
"If you want to dedicate to your children then you should buy some weapons .",
"If you want to drive to your relatives then you should buy some books .",
"If you shop to read to your children then you should buy some dogs .",
"If you want to bind to your bones then you should buy some books ."
] | task413-f4e122d2807f4254b97fe16ad5588e06 |
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 wedding jam contains music selected by the bride and groom .
Output:
| [
"The wedding ceremony contains music selected by the bride and groom.",
"The wedding tribute contains music selected by the bride and groom .",
"The wedding schedule contains music selected by the bride and groom .",
"The wedding anniversary contains music selected by the bride and groom ."
] | task413-f604e9fcd394472b90a7a7f739160f36 |
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 watch a gun around in a store store .
Output:
| [
"You are likely to damage a gun safely in a hunting hobby .",
"You are likely to sell a vest around in a comic store .",
"You are likely to talk a banana around in a bait store .",
"You are likely to find a gun around in a hunting store."
] | task413-b36cab5d7ed74873a51081b0396b9df7 |
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 tag yourself because you want to convey your feelings to others .
Output:
| [
"You would restrict yourself because you doubt to convey your feelings to others .",
"You would express yourself because you want to convey your feelings to others.",
"You would express yourself because you belong to convey your differences to others .",
"You would overcome yourself because you feel to convey your virtues to others ."
] | task413-1391d470bede4c988cc1cbdd4f3656dd |
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: An action on our country would make you want to finish the enemy .
Output:
| [
"An ict on our country would make you want to copy the enemy .",
"An outlook on our country would make you want to comfort the enemy .",
"An attack on our country would make you want to fight the enemy.",
"An A on our country would make you want to ignore the enemy ."
] | task413-d003eb2caa434010a2a1fedd0aa0dc9a |
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 machine gun is for protecting your brother .
Output:
| [
"A machine gun is for protecting your tank .",
"A machine gun is for protecting your stomach .",
"A machine gun is for protecting your country.",
"A machine gun is for protecting your conscience ."
] | task413-e8cd8050e1274340957a44eaf89fb178 |
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 shuffle the deck and deal.
Output:
| [
"If you love to rule cards then you should shuffle the deck and work .",
"If you arrange to play cards then you should shuffle the deck and deal .",
"If you want to receive cards then you should shuffle the deck and reload .",
"If you request to play cards then you should shuffle the deck and deal ."
] | task413-32c6236de4234ec2928d46a45dc6e231 |
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: Playing is for researchers that are famous enough to spend .
Output:
| [
"Playing is for children that are respectful enough to play .",
"Playing is for children that are healthy enough to play.",
"Playing is for children that are humble enough to play .",
"Playing is for civilians that are calm enough to play ."
] | task413-90c57e5603884eec8d9c5076fdcd39d5 |
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 small dog in an end .
Output:
| [
"You are likely to find a small dog in an apartment.",
"You are prone to find a small dog in an apartment .",
"You are likely to find a small dog in an orphan .",
"You are likely to find a small dog in an arsenal ."
] | task413-fe8d08b301df432296cea1acf42fb9b4 |
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 plead testimony because you want find the testimony .
Output:
| [
"You would hear testimony because you want find the truth.",
"You would manufacture testimony because you want find the whistleblower .",
"You would hear info because you want find the truth .",
"You would confirm testimony because you want find the verdict ."
] | task413-743d10ebdbac43f0ab1548cd534cd664 |
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 hen takes care of her children .
Output:
| [
"A mother takes care of her children.",
"A mother calls guardian of her children .",
"A t takes care of her children .",
"A mother carries food of her children ."
] | task413-da53b1437cb84a918109d4637ad32e0f |
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 red dragon should look more orange than a green dragon.
Output:
| [
"A red female should look more orange than a green dragon .",
"A red blob should look more orange than a green dragon .",
"A red DRAGON should look more orange than a green dragon .",
"A red lord should try more orange than a green dragon ."
] | task413-f270bf3acc7e4853a43905818c0c64e3 |
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 enjoy a banquet then you should spend a ticket .
Output:
| [
"If you want to enjoy a film then you should buy a ticket.",
"If you want to remain a taxi then you should paper a ticket .",
"If you want to enjoy a film then you should possess a ticket .",
"If you want to enjoy a film then you should do a ticket ."
] | task413-a7f0634043dd48bc8606287373178d5d |
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 ask a restaurant table in a hundred .
Output:
| [
"You are likely to crowd a restaurant table in a p .",
"You are likely to push a restaurant table in a train .",
"You are likely to find a restaurant table in a restaurant.",
"You are likely to locate a restaurant table in a mirror ."
] | task413-bd2b49747e0c47219cbdacdcd5f71d34 |
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 print on the hole because you want a good , straight copy .
Output:
| [
"You would print on the printer because you want a good, clean copy.",
"You would hit on the ad because you want a good , clean copy .",
"You would cut on the stuff because you want a good , clean copy .",
"You would beat on the ex because you want a good , clean copy ."
] | task413-121ce2cb4f884330b95f9a0e3332c98f |
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: There may be stairs in a den .
Output:
| [
"There may be stairs in a museum .",
"There may be stairs in a picture .",
"There may be stairs in a bar.",
"There may be stairs in a class ."
] | task413-55b592328aca4c45817fb2ec857ff90b |
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 search an emia around in a big city .
Output:
| [
"You are likely to find an industry around in a big city.",
"You are likely to jerk an editor around in a big city .",
"You are likely to find an upside around in a big upside .",
"You are careful to size an industry around in a big key ."
] | task413-3173c457c31d4efc8489fe9a285eef5b |
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: Never put a baby into an oven.
Output:
| [
"Never speak a bully into an administration .",
"Never turn a guy into an asteroid .",
"Never bash a sound into an asset .",
"Never create a hole into an executable ."
] | task413-165c71c846b0468ba56514854ffa3dec |
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 an office building to work in it.
Output:
| [
"You can use an office place to work in it .",
"You can turn an office building to murder in it .",
"You can use an office size to work in it .",
"You can haul an office window to explode in it ."
] | task413-2b75091594344f65b0f44ef32fb3296f |
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 plant a craft table to serve coffee .
Output:
| [
"You can wire a measuring table to serve coffee .",
"You can use a coffee table to send coffee .",
"You can use a coffee table to serve coffee.",
"You can swap a coffee table to serve lamb ."
] | task413-92ea7757d2274a999656b57dde0d0cf7 |
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 abuse a doctor examination room in a clinic .
Output:
| [
"You are likely to find a doctor cup room in a clinic .",
"You are likely to record a doctor examination room in a clinic .",
"You are likely to put a head examination room in a clinic .",
"You are likely to find a doctor examination room in a clinic."
] | task413-e53f73b4aff34b03a1f2e9de82b2e0e3 |
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: Bread is risen from flour .
Output:
| [
"Bread is made from flour.",
"Bread is mashed from flour .",
"rust is made from fish .",
"Bread is made from powder ."
] | task413-da147e16dfbc4a738e39913fdd13f721 |
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 extent of listening is talking sounds .
Output:
| [
"The aspect of listening is integrating sounds .",
"The effect of listening is hearing sounds.",
"The effect of listening is waking sounds .",
"The instrument of listening is identifying sounds ."
] | task413-2c027b776f964d449a9399f8ee99c9d7 |
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 discussing a beer is you get to drink it .
Output:
| [
"The effect of buying a beer is you deserve to release it .",
"The objective of buying a beer is you say to play it .",
"The effect of buying a beer is you get to drink it.",
"The luxury of buying a beer is you turn to fill it ."
] | task413-8b0e1a97504245d4929f37ebf233e63e |
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 test the car then you should go to a dealership.
Output:
| [
"If you bother to cover the umbrella then you should go to a dealership .",
"If you suggest to sign the code then you should go to a dealership .",
"If you stop to search the line then you should go to a dealership .",
"If you lack to inherit the car then you should suppose to a dealership ."
] | task413-5a5b1dda1f8445b2820078ec4a2db80b |
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 visit a coffee table in the living room .
Output:
| [
"You are likely to find a coffee table in the living room.",
"You are silly to develop a coffee table in the living room .",
"You are silly to cover a coffee table in the living room .",
"You are funny to find a coffee float in the living room ."
] | task413-b5867687602242008420c79890aa4482 |
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 wake up in the morning because you know to watch the sunrise .
Output:
| [
"You would wake up in the morning because you Want to watch the sunrise .",
"You would wake up in the morning because you want to watch the sunrise.",
"You would wake up in the morning because you dread to watch the sunrise .",
"You would wake up in the autumn because you care to watch the sunrise ."
] | task413-7fc8cc6e03564eaebf741562948a02c5 |
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: In the movie office , you can turn off your cell music .
Output:
| [
"In the movie theatre, you can turn off your cell phone.",
"In the bargain theatre , you can turn off your cell phone .",
"In the kitchen theatre , you can turn off your cell equipment .",
"In the theater theatre , you can turn off your cell phone ."
] | task413-286dfea644674224a07f5459e50a9354 |
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 a can laugh a quick story .
Output:
| [
"A child can laugh a funny story.",
"A child can discover a human story .",
"A user can define a funny dot .",
"A child can possess a funny fuse ."
] | task413-25bfd8c49e0c458687965383af231f4c |
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 wireless home to catch a bus .
Output:
| [
"You can enroll a place listing to finance a bus .",
"You can prefer a bus station to catch a bus .",
"You can return a bus station to catch a bus .",
"You can use a bus station to catch a bus."
] | task413-6f87ea99915946e3b5b5f36051ce20a6 |
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 novelty of making bread is creating discomfort .
Output:
| [
"The middle of making bread is creating labour .",
"The effect of providing bread is creating need .",
"The effect of making bread is creating food.",
"The effect of decreasing bread is creating food ."
] | task413-6968aeb2920c41f3849dcd98c8bbf4f2 |
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 helpful to find a time table in a house .
Output:
| [
"You are likely to find a kitchen table in a house.",
"You are delighted to find a hunting table in a house .",
"You are likely to find a kitchen cook in a house .",
"You are likely to find a kitchen element in a house ."
] | task413-b4acfe745d714154b79cd71ec4a44b23 |
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 reading is mind is gained .
Output:
| [
"The effect of reading is food is gained .",
"The effect of reading is knowledge is aroused .",
"The effect of reading is knowledge is enjoyed .",
"The effect of reading is knowledge is gained."
] | task413-5285b650785f4faa8cc6f22ea982d606 |
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 provide a lawn in the suburbs .
Output:
| [
"You are likely to find a lawn in the suburbs.",
"You are thrilled to tear a lawn in the suburbs .",
"You are liable to shrink a lawn in the suburbs .",
"You are likely to find a camp in the suburbs ."
] | task413-cd7a677e5364404e83ed6079e10ea9f2 |
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 will now count my last statement of Faith for the right .
Output:
| [
"I will now make my decisive statement of fact for the evening .",
"I will now make my last statement of fact for the evening.",
"I will now make my mere statement of fact for the evening .",
"I will now meet my last pub of fact for the date ."
] | task413-3f6a21e161354346976283d13f6de0f8 |
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 world will be a lovely place when it is bare from pollution .
Output:
| [
"The county will be a lovely place when it is free from authority .",
"The scene will be a lovely destination when it is Free from pollution .",
"The world will be a lovely shell when it is Free from pollution .",
"The world will be a lovely place when it is free from pollution."
] | task413-15e961a345f648feaf0a6fcffbd1f783 |
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 mirror head to start a segment .
Output:
| [
"You can use a toothbrush head to make a string .",
"You can use a snap head to visualize a task .",
"You can use a toothbrush head to secure a gap .",
"You can use a toothbrush head to make a toothbrush."
] | task413-8d7f9a4afb4c43b9838bcd99b2411447 |
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: My ears can hear the noise.
Output:
| [
"My goggles can disturb the noise .",
"My pets can hear the difference .",
"My coworkers can disable the miner .",
"My birds can beat the noise ."
] | task413-815695acd6514e428a8bbd0e74b727b8 |
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Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task413_mickey_en_sentence_perturbation_generation
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks},
author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
year={2022},
eprint={2204.07705},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2204.07705},
}
More details can also be found in the following paper:
@misc{brüelgabrielsson2024compressserveservingthousands,
title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead},
author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
year={2024},
eprint={2407.00066},
archivePrefix={arXiv},
primaryClass={cs.DC},
url={https://arxiv.org/abs/2407.00066},
}
Contact Information
For any comments or questions, please email Rickard Brüel Gabrielsson
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