Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead
Paper • 2407.00066 • Published
input stringlengths 1.08k 1.45k | output sequencelengths 3 3 | id stringlengths 41 41 |
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Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"gardening",
"walking",
"planting trees"
] | task1400-810470763810482f8701c7a02fd4d9e2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"Someone making their hand vibrate really quickly",
"Someone holding a violin",
"An owl soaring overhead"
] | task1400-94703fd19ecd472dbd6f10456c6eb35b |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"torrential rains across the plains",
"too many firefighters with McLeods and Pulaskis",
"high moisture content on incident commanders' heads"
] | task1400-332a83a4c64145569e2b68567687a16c |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"magic",
"luck",
"demons"
] | task1400-d7904a5c5f0946528b7fa5ed592596ce |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"72 hours",
"24 hours",
"36 hours"
] | task1400-290e8d7cc35e4e3dbeb7b8c3b024241f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"collect bees",
"trap clowns",
"facet diamonds"
] | task1400-21de59f948e34704947b71a29a59c3e2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"completely whole",
"all together",
"an intact item"
] | task1400-b62f076a77b046ad959520bc12b941e2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a whale",
"an antelope",
"a person"
] | task1400-2dcb7b028ff74925819561f5110c7e48 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"an ant",
"a bee",
"a butterfly"
] | task1400-519cabbb9abb40138492a9e1c5cfac02 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the leaves on the branches",
"the sap in the tree",
"the branches on the stem"
] | task1400-bc4d6104c16e4b30a78057e5abb6585f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the battery of your cell phone",
"the porcelain in your toilet",
"the bottle you drink from"
] | task1400-31d25bab540a48ea8689585dd2128576 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"singing",
"crying",
"nothing"
] | task1400-ea0e68ae6459426296e99d3c4d9752e9 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a day",
"a week",
"a month"
] | task1400-006e557b6d0a40ae98723a2d13b0760d |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"offspring",
"children",
"emotions"
] | task1400-4adc55c37dfd49da82751b510c824b4f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a fish",
"a truck",
"an ant"
] | task1400-39b954e339ff4fd6afd11081f85774c4 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the soil is angry",
"the soil has been taken over by dogs",
"the gods are angry"
] | task1400-548d673188fa49f8b67cad9d4a4706fb |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"plant a garden",
"build a house",
"climb a mountain"
] | task1400-aed8861c7d3e44539b319725abe58884 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the other horses were licking that horse",
"sweat glands dried up",
"The horse needed a shower and was getting oily"
] | task1400-28d4fa97aa39453492d83f50ed810e3e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"dog food",
"chickens",
"markers"
] | task1400-60e1a21f7c614c5ebc4f5bc00d630a5e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"smell",
"vision",
"sight"
] | task1400-fd2459a434ec4d4ebeea382e72cdbfa9 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a very sunny day",
"a very beautiful day",
"a very bright day"
] | task1400-8661cb720c1b4e02ba0c96f35eb76359 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a gallon of water",
"a solid ice block",
"two gallons of water"
] | task1400-473dbeef9c434fa595780c41425ecbb6 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"wing",
"teeth",
"leg"
] | task1400-4efa1be3fa7d402a95b5138155cbb6aa |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a cactus",
"a chihuahua",
"a cat"
] | task1400-401d15fbb0b849daa5be430a283fdd4f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"Jupiter",
"space",
"houses"
] | task1400-f97dc919394c4b5d94dadb0efd75e1b1 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"snow",
"wood",
"bananas"
] | task1400-4287386df26d4a51973abba2b170d5c4 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"sand",
"the wind",
"solar power"
] | task1400-7fb7da6659884830b08709a2946f56ca |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"candy",
"cooking",
"bread"
] | task1400-6a715921308c440cb85dedfdc783d867 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"The Alps",
"Antarctica",
"The Pacific"
] | task1400-f812f17416fd42baaa38368403ef7df2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a hand pump",
"a campfire",
"a baseball bat"
] | task1400-e172432383544b198167dd2f0b8d3372 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"songs",
"comedy",
"bees"
] | task1400-e8f7c5cc52f440c68df33f440695faab |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"rocks",
"air",
"solids"
] | task1400-4031e03f8df84d8c9507b1f28ed82a58 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"wolves attacking deer",
"dolphins under water",
"naturally occurring reasons"
] | task1400-f255b92380e4467cbf9735266c5658d2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"solar",
"wind",
"water"
] | task1400-d20b488646004c1f83193a8d91014a57 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"tea",
"water",
"milk"
] | task1400-470b6fa1ab8b4d5eb5843a4721e6f9f3 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"plastic bottle",
"candy cane",
"glass bottle"
] | task1400-a99c3b68044d47d8bbca343a04e41b6e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the cows that humans eat",
"the crickets that owls eat",
"the chicken that cats eat"
] | task1400-ec53771848da4ae49cb75334c3fe1b8c |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"Jupiter",
"space",
"time travel"
] | task1400-15385e493bcd4506a4bee3e3ce0965d2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"leave lights on",
"use Styrofoam plates",
"take longer showers"
] | task1400-f799525b17024172846b0b23f31b54c7 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the moon",
"Jupiter",
"Venus"
] | task1400-a75b8399f7b84d1188b9ae01f99ff9cf |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"shoes",
"doctor",
"corn"
] | task1400-048fb1d73e924deb9eb863c81a2024c1 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"her parents' intentions",
"learned traits",
"her past life"
] | task1400-eb34e6419f8a49ff82a2036036a531ee |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"hairy",
"rich",
"clean"
] | task1400-6d607529e0734b56be9a67025ad4a259 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a goat",
"a horse",
"a cat"
] | task1400-e570836991ae429ab58605eceb155cda |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"waiting to hear sounds",
"sending a text message",
"lying down on the ground"
] | task1400-b42bf10d0d294ad9ac4b6952e8213542 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"vaporize it",
"levitate it",
"melt it"
] | task1400-eba2bfddb77c4832a72c8486a66c2163 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"December 21st",
"the winter solstice",
"sometime in January"
] | task1400-f7797f3826ee466585705c0616743a48 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"cool water",
"melted water",
"easier to transport"
] | task1400-e218bac52b404d74afa1328253f24bdf |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a car to drive",
"a house to live in",
"a bus to sell"
] | task1400-f8b956b0bd1d4ad08b86f88a9b923431 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"weak",
"stubby",
"short"
] | task1400-9c334453e3334d8992b226775f9e875f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"magic",
"guy climbing up",
"bird"
] | task1400-89403b5bfaf94505a413082ba0cd739e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"video games",
"socks",
"doors"
] | task1400-7e415793138c477f8937cbd98a434041 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"ceramic stones",
"glass beads",
"plastic beads"
] | task1400-eec5322f6e534e01ad8f26b61d3d30fb |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"they are pure silicon",
"they last literally forever",
"they work better over distance"
] | task1400-a4ce1aefa57b4a9585646d32750b1724 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"unpredictable",
"waterproof",
"tradition"
] | task1400-a54b593f51544fd7868e96363de6af35 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a rabbit",
"a squirrel",
"a bird"
] | task1400-3cb427187f1b4e938898e22fee058e32 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"have only bright sunshine",
"have empty blue skies",
"be sunny and clear"
] | task1400-f0a5a7a472d545789647778edcb6a168 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"form",
"temperature",
"appearance"
] | task1400-e844cd7f26214c899331cdad2b84f686 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"lay down",
"to space",
"sit down"
] | task1400-857075f836ea4ea78e18c5baee612e44 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"Worms are glad their rivals have died off before them",
"The dirt is cleaner than ever",
"Monkeys can find more bananas"
] | task1400-a0987ae0f1c945f9a1b7b427d69c0dfd |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a plastic set of cups",
"a twelve pack of beer cans",
"a set of silverware"
] | task1400-abdaecad23e048198a5a2dd292072f64 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"moons",
"suns",
"orbits"
] | task1400-10aceb2596cd42288418d1631115062a |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"salty taste",
"water smell",
"cool water"
] | task1400-2b5734f2d51049ecb34f820342ef8be6 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a panda",
"a raccoon",
"a dog"
] | task1400-1128b13e54f24220a5343a3658275848 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"have live births",
"eat only meat",
"incubate their food"
] | task1400-9a4ba368b29f4e61ac8299271c608c0d |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a hand and an arm",
"dogs and scared cats",
"a nose and eyebrows"
] | task1400-e69d2938090c4f498794f97f90af2858 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"grass",
"sea",
"water flow"
] | task1400-52f4c3f8f6de4d5cb5fc3cfd89de5ccf |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"thrilled",
"muscular",
"kind"
] | task1400-2f1c4c5a7f1b4e678638569d5c5a73dc |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"under the sun",
"in summer weather",
"in daylight"
] | task1400-37037edd34c2450d94a7eb63521caad0 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"hares",
"rats",
"dogs"
] | task1400-10cf88ce521d46fc92b569bf4c07d590 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a brain dead frog in mud",
"a frog napping for an hour in mud",
"a frog sleeping for the night in mud"
] | task1400-da6eaebd1c4942da8de0758c32485adb |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"turns on the dishwasher",
"fills the bathtub with water",
"turns on the microwave"
] | task1400-e3b26a4e59044ac1adbea4c0f68b9574 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"it has insufficient money to buy food",
"all of the rabbit's prey has disappeared",
"all the other rabbits shun it"
] | task1400-ca171d41dc124a3ba98b43191252d4f1 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"seven",
"whales",
"the sun"
] | task1400-ee144633207549c8bbb20a2d0e75f1a3 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"air",
"ocean water",
"rocks"
] | task1400-caf4a2eb1c0f4ecfb2240c5453f8024e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"change color",
"shed",
"shrink"
] | task1400-86a8ab190b6f4bb2b91640b6d7c57f46 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"drinking water will be in short supply",
"ponds may dry out",
"flowers will wilt and wither"
] | task1400-5ca4f48e2b6b46d8bde7f0e3c1fb4b65 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"quick to spot",
"fast to locate",
"easy to see"
] | task1400-65c2bea9455c489f9292125c3ed2aea3 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"ear aches",
"radio stations",
"Brain cancer"
] | task1400-a80344c2fa4c469cab4a0e003fd46d19 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"the Sahara desert",
"the Iraqi Desert",
"the Gobi Desert"
] | task1400-67baa00f6f0947fcb7fac191c0395446 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"buried animals",
"stuffed animals",
"rocks"
] | task1400-84a74b1817594fc6996b50bc506ab545 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"shiny",
"red",
"striped"
] | task1400-12f3438ef8d14852ab642140fbc5a5ae |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"studying",
"yoga",
"patience"
] | task1400-6d815494ab354170a3cdc11a6114b46c |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"midday",
"morning",
"noon"
] | task1400-47450530676d44ad96138f50092a84bf |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"apple juice",
"liquid nitrogen",
"water"
] | task1400-c988f8e4fb294418922dd57c040e4475 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"trees",
"air",
"water"
] | task1400-70be2c84ec814de6b286b4c75d9db6f3 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"steel",
"diamond",
"hard pretzels"
] | task1400-21d7248e0ae347cea82d22a7bc2e0e1c |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"will cause the canyon to shake",
"will cause complete silence",
"will cause animals to run up to you"
] | task1400-f4f947101b2e407db1c7aed6c422cc9e |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"growth",
"vigor",
"life"
] | task1400-b4c2e6a0f2ed4a259df388faf5fffaec |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"a wooden beam",
"a plastic beam",
"a cotton beam"
] | task1400-8bc2f926c0e44b8ba07c1aa0a4abbfe2 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"they are flying",
"cooking",
"never"
] | task1400-8140f3a513984bcb8cbb7d9f9751eee7 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"make a building taller than before",
"remodel and existing house",
"have more people living in one house"
] | task1400-d9fd4d81a816496fb7c18b069d25da7f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"on the desert plains",
"is beneath the aliens",
"can freeze water at all times"
] | task1400-43b11d5e2e084960906fa89efbf703ca |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"keep the land dry",
"lift and carry a tall mountain",
"reach high in the sky"
] | task1400-64a640ccf35a48168029e41e16de4a00 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"speed to a halt",
"slow down very slowly",
"has zero effect at all"
] | task1400-157d3a8a4d3341febf2222589f1fb571 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"food",
"career",
"wind"
] | task1400-0f8e2a23fd1b40cc9dd93428b53a1228 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"an ant gets food from photosynthesis",
"a dog gets food from photosynthesis",
"a gorilla gets food from photosynthesis"
] | task1400-2f0e5e37938d46d6953f698f4addb048 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"rain",
"the wind",
"the Sun"
] | task1400-5f827642c5aa460db2590b579268c9b3 |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"Balls from bouncing",
"Wheels from rolling",
"pucks from sliding."
] | task1400-627da3d2fc08425982e0f0d6aa83d42f |
Definition: This task is about generating an incorrect answer to a question given the question and a true statement related to the question. The answer must be related to the question, but incorrectly answer it given the context.
Positive Example 1 -
Input: Fact: deep sea animals live deep in the ocean. Question: Fril... | [
"sound",
"feelings",
"bonds of friendship"
] | task1400-53a7f612c1c9448291b537cdfb40f023 |
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},
}
For any comments or questions, please email Rickard Brüel Gabrielsson