inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Teacher: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context_... | Bolshoi Ballet | 2 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.7318172454833984,
0.3574162423610687,
-0.9423919916152954,
0.8639992475509644,
0.45879343152046204,
-0.25887370109558105,
0.6422711610794067,
0.5560189485549927,
-0.002746365498751402,
0.440451979637146,
0.03574442118406296,
0.6329421997070312,
-0.8995201587677002,
-0.14361044764518738,
... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: روی نوک کارد آشپزخانه یک قاچ سه گوش از آناناس به او تعارف میکرد.
A: | and handsome and offered her a triangle of pineapple speared on the tip of a butcher' s knife. | 9 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.48371630907058716,
1.1252574920654297,
-0.14022353291511536,
-0.46150627732276917,
-0.5362800359725952,
0.08947249501943588,
1.0800487995147705,
0.43492597341537476,
-0.12294713407754898,
-0.0677180141210556,
-0.007086295634508133,
0.7652866840362549,
-0.9056183099746704,
0.654624223709... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: Consider Input: ତ ଯେତେବେଳେ ପରିବାରର ସମ୍ଭାଳିବାର ହେବ, ରୋଷେଇରେ ତାହାର ପ୍ରଭାବ ନିଶ୍ଚୟ ପଡିବ । ସେମାନେ କିଛି ବୃତ୍ତିରେ ଯିବେ ତ ରୋଷେଇରେ ମଧ୍ୟ ସେହି କଥା ଅଲୋଚନା ହେବ । ଏହ... | Output: நமது உறவை மேம்படுத்தி இரு நாட்டு மக்களுக்கு இடையே உள்ள உறவினை வலுப்படுத்துவதன் மூலம் நாம் நமது வளர்ச்சியில் புதிய உயரத்தை அடைந்து வளம்பெறும் என்று எனக்கு முழு நம்பிக்கை உள்ளது.
| 2 | NIv2 | task1073_pib_translation_oriya_tamil | fs_opt | [
-0.41855740547180176,
0.9725358486175537,
-0.7210273742675781,
0.9460350871086121,
-0.05489186570048332,
-1.1450316905975342,
0.7392956018447876,
1.237120270729065,
-0.6131166219711304,
0.34678518772125244,
-0.3444777727127075,
-0.3310048282146454,
-0.2185477614402771,
-0.18956303596496582... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a short text as a title. Your task is to generate a poem as output that is related to the given title and should feel like written by kids. The output should be a run-on sentence (two o... | my brother be a mean little thing he laugh at me when i try to sing my mom be like a butterfly she talk all day i do n't know why i be like a little daisy but sometimes i can be very lazy my dad be like a football player but sometimes i wish i be mayor mayor of maryland that would be me if you do n't like it you will p... | 0 | NIv2 | task1711_poki_text_generation | fs_opt | [
-0.4179914593696594,
1.7204394340515137,
0.06308005750179291,
-0.10169307887554169,
-0.1764712631702423,
-0.5360196828842163,
0.3130764365196228,
0.514493465423584,
0.06661909073591232,
-0.48269084095954895,
-0.33919042348861694,
-0.08770518004894257,
-0.537840723991394,
-0.239362150430679... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: the white house on wednesday expressed guard... | yes | 1 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.054591178894043,
0.34216248989105225,
0.24290937185287476,
0.006679086945950985,
0.31884461641311646,
-0.7284945249557495,
0.18847133219242096,
0.40446406602859497,
0.1653285026550293,
0.4353887140750885,
-0.27252793312072754,
0.43703120946884155,
-0.41759854555130005,
0.584149539470672... |
Instructions: In this task, given a sentence in the Thai language, your task is to convert it into the English language.
Input: นี่เป็นสิ่งจำเป็นในการขัดขวางพฤติกรรมรุนแรงและพฤติกรรมป่าเถื่อน
Output: | This is necessary as a deterrent for such outrageous, uncivilised behaviour. | 3 | NIv2 | task537_alt_translation_th_en | zs_opt | [
-0.0906781330704689,
0.6912294030189514,
0.05450532212853432,
-0.495078444480896,
-0.6959224939346313,
-0.24836784601211548,
0.6077051162719727,
0.15339258313179016,
-0.015274874866008759,
-0.01750515215098858,
-0.8948876857757568,
-0.10420428216457367,
-0.5295675992965698,
-0.195150092244... |
Q: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). Note that the i... | (8, 9) | 7 | NIv2 | task089_swap_words_verification | zs_opt | [
-0.5113449096679688,
1.1823837757110596,
-0.18265756964683533,
-0.7981622815132141,
0.049499694257974625,
-0.9878536462783813,
0.11192856729030609,
0.6077888607978821,
-0.015871182084083557,
0.12346895784139633,
0.16579224169254303,
-0.31639912724494934,
-0.10284019261598587,
0.00246672658... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: Consider Input: Finns det några synpunkter?
Outp... | Output: English
| 2 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.11232490092515945,
0.7171545028686523,
0.3369685113430023,
-0.5236800909042358,
0.29061147570610046,
-0.20858722925186157,
0.23192958533763885,
0.45774537324905396,
0.41151970624923706,
0.22565343976020813,
-0.07326775789260864,
0.6418423652648926,
-0.3911260664463043,
-0.40938305854797... |
Detailed Instructions: In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: Josh has a test tomorrow. Sentence2: He hasn't studied at all. Sentence3: He decided to pull an allnighter. Sentence4: When he got... | Josh | 9 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.20656251907348633,
-0.004817788023501635,
0.31134241819381714,
-0.7056673765182495,
0.1500900685787201,
-0.8108352422714233,
0.941411554813385,
0.20101936161518097,
0.10028038918972015,
-0.32662490010261536,
-0.7375875115394592,
-0.5496328473091125,
-0.23137784004211426,
-0.3651761710643... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No | 0 | NIv2 | task1206_atomic_classification_isbefore | zs_opt | [
0.27608561515808105,
0.4709468185901642,
0.24582253396511078,
-0.055174052715301514,
-0.6102758049964905,
-0.6243195533752441,
1.0420185327529907,
0.6576825976371765,
-0.6354823708534241,
-0.18375806510448456,
-0.618065595626831,
-0.532995343208313,
-0.6200611591339111,
0.2428799569606781,... |
You will be given a definition of a task first, then some input of the task.
Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer us... | Do serum gastrin and pepsinogens correlate with the different grades of severity of gastro-oesophageal reflux disease : a matched case-control study? | 1 | NIv2 | task847_pubmedqa_question_generation | zs_opt | [
0.24838054180145264,
-0.22027799487113953,
-0.44866636395454407,
-0.2766647934913635,
0.3395836651325226,
-0.4426024556159973,
0.4742421805858612,
0.3637389540672302,
0.3514584004878998,
0.28471118211746216,
-1.1272828578948975,
-0.36074212193489075,
-0.2747058868408203,
-0.071794100105762... |
In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced with [Link].
Let me give you an example: Post: @Darkeph E... | Individual | 8 | NIv2 | task338_hateeval_classification_individual_es | fs_opt | [
-1.0489208698272705,
0.5252752304077148,
0.6353225111961365,
-0.16086341440677643,
-0.6299800276756287,
-0.8871631622314453,
0.7351175546646118,
0.6160658001899719,
-0.032931797206401825,
-0.3644758462905884,
-0.40376847982406616,
0.26035699248313904,
-0.6671621799468994,
-0.23105031251907... |
Q: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to det... | Yes | 7 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.002687918720766902,
0.13528762757778168,
0.30531471967697144,
0.15310312807559967,
-0.4938710927963257,
-0.9690438508987427,
0.698400616645813,
0.594007134437561,
-0.5801660418510437,
-0.38469427824020386,
-0.5241893529891968,
-0.08844457566738129,
-0.26288872957229614,
0.118064239621162... |
Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with t... | [-22, -7, 27, -9, 92, 92] | 5 | NIv2 | task207_max_element_lists | zs_opt | [
-0.43419864773750305,
0.29831185936927795,
-0.4884973168373108,
0.4250760078430176,
0.2942747473716736,
-0.07731114327907562,
0.5110848546028137,
-0.23953329026699066,
0.057011328637599945,
-0.16123279929161072,
-0.7107580900192261,
0.09749387949705124,
-0.5431628227233887,
0.2026594132184... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Input: उन्होंने कहा कि इनसे न केवल मरीजों की मदद होगी, बल्कि उन लोगों को भी फायदा मिलेगा जो चिकित्सा की पढ़ाई करना चाहते है।
Output: | இவை நோயாளிகளுக்கு மட்டும் உதவாமல் மருத்துவம் பயில விரும்புவோருக்கும் உதவுவதாக அவர் கூறினார். | 3 | NIv2 | task993_pib_translation_hindi_tamil | zs_opt | [
0.02503640204668045,
0.4024333953857422,
0.14245381951332092,
-0.039278581738471985,
0.3436865210533142,
-1.11045241355896,
0.2823481261730194,
0.23375990986824036,
-0.4845089316368103,
0.29524487257003784,
-0.23895204067230225,
0.03969530016183853,
-0.3539600968360901,
0.03347465395927429... |
Q: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Verify if the sentiment of the following document towards the entity Mohammad Shawash is Negative . âI w... | no | 7 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.2202756553888321,
-0.4138827919960022,
0.6292453408241272,
-0.37103548645973206,
-0.588351309299469,
-0.9450500011444092,
0.45343172550201416,
0.3725679814815521,
0.16001512110233307,
-0.1570291817188263,
-0.4707832336425781,
0.2300964742898941,
-0.6110113263130188,
-0.3439910113811493,... |
Detailed Instructions: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Problem:And the flesh and the hide he burnt with fire without the camp.
Solution: | و قربانی قوم رانزدیک آورد، و بز قربانی گناه را که برای قوم بودگرفته، آن را ذبح کرد و آن را مثل اولین برای گناه گذرانید. | 8 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.28180450201034546,
1.3485107421875,
-0.3486630320549011,
-0.08960755914449692,
-0.8433609008789062,
-0.5890538692474365,
1.1109895706176758,
0.44018125534057617,
0.18342477083206177,
0.061816051602363586,
0.06840544939041138,
0.2724555730819702,
-1.3551441431045532,
0.0488496869802475,
... |
In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
I will be sending this item back. I bought the 2XL after reading reviews and the cups on the top... | 4
| 0 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.18691635131835938,
-0.07092239707708359,
-0.5790292024612427,
0.6378827095031738,
-0.044520460069179535,
-0.34662482142448425,
0.20790895819664001,
0.7155165076255798,
-0.8247672319412231,
-0.10512587428092957,
-0.32571345567703247,
-0.14448457956314087,
-0.26067861914634705,
-0.4364852... |
Definition: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Input: Leu ( Plural Lei )... | Paraphrase | 2 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.8182270526885986,
0.661795437335968,
-0.06797334551811218,
-0.3941842317581177,
-0.5005850791931152,
0.16034796833992004,
1.2175521850585938,
0.20214784145355225,
0.4203364849090576,
-0.798092782497406,
-0.08426350355148315,
0.34820565581321716,
-0.6357841491699219,
0.48204565048217773,... |
Definition: In this task, you have to generate the title of the recipe given its required ingredients and directions.
Input: ingredients: '1 pkg. flour tortillas', '1 can chili', '1 can Ro-Tel', '12 oz. pkg. mild Cheddar cheese', '1 onion, chopped', '1 bell pepper, chopped', '2 lb. ground beef',<sep> directions: 'Brow... | Enchiladas | 2 | NIv2 | task569_recipe_nlg_text_generation | zs_opt | [
0.22104758024215698,
0.35256752371788025,
-0.5777373909950256,
1.1871026754379272,
-0.1321382224559784,
0.3964630365371704,
0.7016255855560303,
1.1499569416046143,
-0.49992460012435913,
-0.05312037467956543,
-0.08599907159805298,
0.13500100374221802,
0.040064845234155655,
0.141037806868553... |
Detailed Instructions: In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" ... | True | 8 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.014490933157503605,
0.4836978316307068,
-0.1538275182247162,
-0.02293488383293152,
-0.769473671913147,
-0.5363460183143616,
0.9530190229415894,
-0.010719598270952702,
0.296844482421875,
-0.0566747710108757,
-0.2348046600818634,
0.3409541845321655,
-0.4982650876045227,
0.1148235648870468... |
Teacher: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? If you are still confused, see the following example:
In the beginning God created the heaven and the earth.
Solution: در ابتدا، خدا آسمانها و زمین را آفرید.
Re... | و پسرانش را نزدیک آورده، ایشان را به پیراهنها بپوشان. | 2 | NIv2 | task655_bible_en_fa_translation | fs_opt | [
0.11786583065986633,
1.058518886566162,
-0.2980477213859558,
0.15818960964679718,
-0.2276531159877777,
-0.8980520963668823,
0.6061218976974487,
0.7718605995178223,
0.49700629711151123,
0.42817166447639465,
-0.7637808322906494,
0.5182799100875854,
-0.8771021366119385,
-0.34056931734085083,
... |
In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence belongs to that... | Output: True
| 2 | NIv2 | task1311_amazonreview_rating_classification | fs_opt | [
0.3223996162414551,
-0.3448456823825836,
-0.7623723149299622,
0.3813001215457916,
-0.04436737671494484,
-0.3165892958641052,
0.3438049554824829,
1.1040185689926147,
-0.06524640321731567,
0.580209493637085,
-0.29521408677101135,
0.3940940201282501,
-0.39255285263061523,
0.09429819881916046,... |
Q: In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Title: Game Players Only. Sentence 1: Dan loved playing ... | Dan was proud of that he finally would attain home ownership. | 7 | NIv2 | task215_rocstories_incorrect_answer_generation | zs_opt | [
-0.31844955682754517,
0.27256765961647034,
-0.3219428062438965,
-0.36386895179748535,
-0.5504429340362549,
-0.09832420945167542,
0.4589376449584961,
0.7023007869720459,
0.314657986164093,
-0.22092995047569275,
-0.31919845938682556,
-0.07246576994657516,
-0.29077279567718506,
-0.06469836086... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole... | [45] | 1 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.08159200847148895,
0.9713713526725769,
-0.31202763319015503,
-0.1803637146949768,
0.2325766384601593,
-0.3124048113822937,
0.6494355201721191,
0.897660493850708,
0.2892935574054718,
0.0683918222784996,
-0.20584869384765625,
-0.04682529717683792,
0.27858638763427734,
-0.01550834812223911... |
You are given a sentence in English. Your job is to translate the English sentence into Portugese.
Example input: Astronomers now believe that every star in the galaxy has a planet, and they speculate that up to one fifth of them have an Earth-like planet that might be able to harbor life, but we haven't seen any of t... | Algumas pessoas pensavam que o universo iria re-colapsar no futuro. | 3 | NIv2 | task1094_ted_translation_en_pt | fs_opt | [
-0.6748700141906738,
0.9437206387519836,
0.2850387394428253,
-0.4536184072494507,
-0.23197388648986816,
-0.8527202606201172,
-0.4568878412246704,
0.3986656963825226,
0.5583028793334961,
-0.6195212602615356,
-0.38036805391311646,
0.5294877290725708,
-0.5204513072967529,
0.12036731839179993,... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Example Input: Statement: It was applied pro bono by attorney Rober... | 2
| 3 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.1505832076072693,
0.13507065176963806,
-0.07484926283359528,
0.0967206209897995,
0.481999933719635,
-0.7248279452323914,
0.24722984433174133,
0.47682103514671326,
-0.15817907452583313,
-0.06602950394153595,
-0.5897678136825562,
-0.7302001714706421,
-0.2640056014060974,
-0.784069299697876... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
それから、彼は、世界が気候変動に関する新しい国際条約を必要としていると続け、アメリカがエネルギー効率に関してはすさまじく悪い点を指摘した。 | ຈາກນັ້ນລາວໄດ້ສຶບຕໍ່ເວົ້າວ່າ ໂລກຕ້ອງການສົນທິສັນຍາໃໝ່ກ່ຽວກັບການປ່ຽນແປງທາງດິນຟ້າອາກາດ ແລະ ຍໍ້າວ່າ ອາເມລິກາ ເປັນບ່ອນອັນຕະລາຍເມື່ອເວົ້າເຖິງເລິື່ອງການປະຢັດພະລັງານ. | 0 | NIv2 | task1124_alt_ja_lo_translation | zs_opt | [
0.15514248609542847,
0.44058382511138916,
-0.346468448638916,
-0.30730265378952026,
-0.2958119511604309,
-0.8681448698043823,
0.20571720600128174,
0.300151526927948,
-0.9750186204910278,
-0.053308166563510895,
-0.2530727684497833,
-0.24861420691013336,
-0.8500509262084961,
0.28889703750610... |
Instructions: In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence ... | A baked pizza in a pan with toppings on one side. | 3 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.6173816919326782,
0.3007138669490814,
-0.10783297568559647,
0.4546746015548706,
-0.20381589233875275,
-0.5301101207733154,
0.6866037845611572,
0.8066011667251587,
-0.1480150818824768,
-0.34687137603759766,
-0.43237924575805664,
0.14716210961341858,
-0.32155096530914307,
0.18588602542877... |
In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) "yes" if the given context is useful in answering the question, and (2) "no" if the given context is not useful.
Example input: Context: Our prayers are wi... | no | 3 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.3209049701690674,
0.06492514163255692,
0.26395663619041443,
0.3132016658782959,
0.37449729442596436,
-0.12878349423408508,
0.10339590907096863,
0.02496756985783577,
0.07267997413873672,
0.29994437098503113,
-0.4009973704814911,
-0.351273775100708,
-0.30381035804748535,
-0.06298549473285... |
Given a part of privacy policy text, identify the purpose for which the user information is collected/used. The purpose should be given inside the policy text, answer as 'Not Specified' otherwise
Example: The site collects your IP address or device IDs for advertising. Collection happens when you implicitly provide inf... | Solution: Marketing | 5 | NIv2 | task683_online_privacy_policy_text_purpose_answer_generation | fs_opt | [
-1.205070972442627,
-0.27748915553092957,
-0.5267481803894043,
0.010230084881186485,
-0.7739733457565308,
-1.0671545267105103,
0.14094820618629456,
-0.12511393427848816,
-0.023413535207509995,
0.8777323961257935,
0.4097307622432709,
-0.024835534393787384,
-0.5346249341964722,
-0.7941979169... |
Teacher:Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Teacher: Now, understand the problem? Solve this instance: Sentence: 'Pattaya is a city in Thailand , located on the east coast of the Gulf of Th... | be city of | 6 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
-0.2206183820962906,
-0.05918320640921593,
0.04424738883972168,
-0.7354096174240112,
-0.4416525065898895,
-0.8793329000473022,
0.38494929671287537,
0.6851426362991333,
0.32070374488830566,
0.04127500206232071,
-0.2153802514076233,
0.26823747158050537,
-0.9624361991882324,
0.261908471584320... |
Instructions: Given a sentence in the Sinhala language, translate it into the English language.
Input: පරිනත ක්රීඩකයින් විවිධ යුධායුධ කට්ටල මගින් තම හැකියාවන් වර්ධනය කරගනියි.
Output: | Advanced players improve their performance through a number of accoutrements. | 3 | NIv2 | task601_flores_translation_sntoen | zs_opt | [
-0.7184957265853882,
0.42440369725227356,
-0.7908804416656494,
-0.5331398248672485,
-0.1438344419002533,
-0.3960098326206207,
-0.1331358551979065,
0.531230092048645,
0.8679864406585693,
-1.0079302787780762,
-0.2504337728023529,
0.795097291469574,
-1.5408906936645508,
-0.5263266563415527,
... |
instruction:
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You ... | Yes
| 9 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.6094093918800354,
-0.629258394241333,
0.2854531705379486,
-0.046256668865680695,
0.10147131979465485,
-1.4676977396011353,
1.2122057676315308,
1.0264579057693481,
-0.9474127888679504,
-0.24743694067001343,
-0.4534914195537567,
-0.1740196943283081,
-0.5513780117034912,
0.1100151389837265,... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
79601 | Yes | 0 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.3029276132583618,
0.4878489077091217,
0.18922138214111328,
-0.18449850380420685,
-0.45599156618118286,
-0.16387054324150085,
0.4353223145008087,
0.6356523036956787,
0.12918232381343842,
0.21293717622756958,
-1.1579365730285645,
-0.1572214663028717,
-0.6449671983718872,
-0.27375727891921... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Polish.
Input: وفيما يلي معدلات الإنتاجية التفاضلية.
Output: | To różnice we wskaźnikach produktywności. | 2 | NIv2 | task1107_ted_translation_ar_pl | zs_opt | [
-0.43198567628860474,
0.6565461158752441,
-0.3642241954803467,
0.08389478921890259,
-0.6106221675872803,
0.4599125385284424,
0.6487307548522949,
-0.265473872423172,
0.5618337392807007,
-0.05956520140171051,
-0.8742016553878784,
-0.4867222309112549,
0.24304646253585815,
0.5624367594718933,
... |
Detailed Instructions: You are given a statement written in Gujarati. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Problem:Statement: સ્વામીની કારકિર્દી સર્વોદય ચળવળમાં તેમની સામેલગીરી સાથે શરૂ થઈ હતી, જે ... | સભાના | 8 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
-0.1498381793498993,
0.8139376640319824,
0.07687689363956451,
0.12670718133449554,
-0.40058761835098267,
-0.062390707433223724,
0.27778321504592896,
0.3733119070529938,
0.15311257541179657,
0.10722851753234863,
0.00890209898352623,
0.24750429391860962,
-0.050970908254384995,
-0.56957888603... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Q: ['U', '5237', '5021', 'd', '2961', 'f', '4441', '5413', 'I', 'R', 'u', '925', '1611', '2761', 'Y', 'n']
A: | 28370 | 4 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
-0.5027230381965637,
0.6718602180480957,
-0.5812495946884155,
-0.6563783288002014,
-0.16289058327674866,
-0.10238959640264511,
0.12316560745239258,
0.04650571569800377,
-0.10593123733997345,
0.5898584127426147,
-0.9313558340072632,
0.5542805194854736,
-0.42499440908432007,
-0.0594923831522... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Let me give you an example: original question: Which class of computer pe... | Yes | 8 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.25406643748283386,
0.8052865862846375,
0.15856927633285522,
0.7246338725090027,
-0.6218656897544861,
-0.48233461380004883,
0.661871075630188,
0.1115887463092804,
0.2731843888759613,
0.06068878620862961,
-0.25642889738082886,
-0.09336543828248978,
-0.4814210832118988,
-0.0959391146898269... |
Detailed Instructions: In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: The UK government said in 2015 some services that primarily serve England could be given to other firms.
But the Welsh Government has now said it has reached an understanding the current franchise map ... | Plans to devolve the Wales and Borders rail franchise will include existing cross-border services, the Welsh Government has said. | 9 | NIv2 | task1290_xsum_summarization | zs_opt | [
0.5866016745567322,
0.6494588851928711,
0.08066964894533157,
-0.9078267216682434,
0.24917106330394745,
-0.3501349687576294,
0.5388853549957275,
0.22468435764312744,
0.07503880560398102,
-0.010064184665679932,
0.1832737922668457,
0.44347551465034485,
0.19786109030246735,
-0.1030051708221435... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example input: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते.... | सह्याद्री | 3 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.06071252375841141,
0.3803310990333557,
0.2859974503517151,
-0.5207878351211548,
-0.5160320997238159,
0.20937611162662506,
-0.024904675781726837,
1.8394441604614258,
-0.15820468962192535,
-0.47274377942085266,
-0.2370452731847763,
-0.030535336583852768,
0.021389082074165344,
-0.5506168007... |
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political dependin... | political | 2 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | zs_opt | [
-0.3784072995185852,
0.20038941502571106,
0.17891618609428406,
0.37255269289016724,
-0.4179331064224243,
-0.501047670841217,
0.3425806760787964,
0.03915480524301529,
0.005676506087183952,
-0.3728041648864746,
-0.9132462739944458,
0.2312319427728653,
0.08076527714729309,
-0.0430055484175682... |
Given the task definition and input, reply with output. Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The outpu... | kiss HasProperty fun | 5 | NIv2 | task1510_evalution_relation_extraction | zs_opt | [
-0.36346808075904846,
1.404911756515503,
0.32433974742889404,
-0.4727064371109009,
-0.4187173545360565,
0.15678448975086212,
0.4228368401527405,
-0.3590559661388397,
0.2260267287492752,
-0.6269850134849548,
-0.6392027139663696,
0.4662189483642578,
-0.6997931003570557,
-0.06841607391834259,... |
In this task, you will be given a sentence or two along with a change aspect. You should change the given text in the given aspect. Aspects are explained below:
Tense: Change the tense of the verbs in the text. If they're in past tense, change them to present, and if they're in present tense, change them to past tense... | Solution: The firemen are arriving before the police because they are coming from so far away . | 5 | NIv2 | task275_enhanced_wsc_paraphrase_generation | fs_opt | [
-0.29303568601608276,
0.7004051804542542,
-0.035594627261161804,
-0.35150575637817383,
-0.23287320137023926,
-0.4201713502407074,
0.7650377750396729,
0.654391884803772,
0.12454867362976074,
-0.12172594666481018,
-0.9230881929397583,
-0.15218016505241394,
-0.9945279359817505,
0.071748152375... |
Detailed Instructions: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
See one example below:
Pr... | 33.28 | 4 | NIv2 | task094_conala_calculate_mean | fs_opt | [
0.06622314453125,
-0.1030130684375763,
-1.4060908555984497,
-1.0751008987426758,
0.3431220054626465,
0.2505824565887451,
0.6774001121520996,
0.2925765812397003,
-0.04247447848320007,
0.1927967369556427,
-1.2700546979904175,
0.399362713098526,
-0.6014014482498169,
0.14838631451129913,
0.6... |
You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.
Le... | joy | 8 | NIv2 | task1662_cedr_ru_classification | fs_opt | [
-0.5411378145217896,
-0.02489950694143772,
0.09188036620616913,
-0.15031778812408447,
-0.12946990132331848,
-0.26143813133239746,
0.6193813681602478,
1.1097875833511353,
0.11545070260763168,
0.15354344248771667,
-0.21862471103668213,
0.16491761803627014,
0.1394677460193634,
0.5981351137161... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? ... | purpose
| 5 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.5823284387588501,
0.5683093070983887,
-0.20605094730854034,
0.05587339401245117,
-0.4350093901157379,
-0.09273925423622131,
0.3421371281147003,
1.16470205783844,
0.41723281145095825,
-0.026098521426320076,
-0.9526987671852112,
0.46677708625793457,
-0.5490397810935974,
-0.040973212569952... |
In this task, you need to replace a letter in the sentence with another given letter.
One example: Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution is here: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Explanation: The letter... | cattle grazqng qn a grassy fqeld fqlled wqth trees | 6 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.5667043924331665,
0.8135902285575867,
-0.29646265506744385,
-0.840394139289856,
0.16049455106258392,
-1.0361348390579224,
0.2237539440393448,
0.3171704411506653,
0.0711912289261818,
-0.07702695578336716,
-0.741334080696106,
-0.4187804162502289,
-0.48959654569625854,
-0.31011903285980225... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: BF ： もちろん
A: | دان هولزمان: حتماً | 4 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.374664843082428,
0.0812898725271225,
0.11568698287010193,
-0.9422798752784729,
0.27823323011398315,
-0.05655140429735184,
0.6572333574295044,
-0.07941844314336777,
0.7427375316619873,
-0.06661440432071686,
-0.7125120759010315,
0.5522868633270264,
-0.4577152132987976,
0.29630160331726074,... |
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
国際的に金融恐慌がよりひどくなるにつれ、会社を信用して家を失う何十万人もの英国市民が出ることが予測され、先買の取締りが始められた。 | The preemptive crackdown was introduced with predictions of hundreds of thousands of British citizens losing their homes to credit companies as the international financial crisis grows worse. | 0 | NIv2 | task436_alt_ja_en_translation | zs_opt | [
-0.15897135436534882,
0.592143714427948,
0.7309073209762573,
-0.8674036860466003,
0.053494393825531006,
0.40330272912979126,
0.3611396253108978,
0.7039816379547119,
-0.274739146232605,
-0.19884368777275085,
-0.7216241359710693,
-0.08441980183124542,
-0.8841641545295715,
-0.1491719484329223... |
You are given a statement written in Malayalam. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example Input: Statement: ഇപ്പോഴും ലോകത്തെ പ്രധാന നയതന്ത്ര ഭാഷകളിലൊന്നാണ് ഫ്രഞ്ച്. <MASK>, അന്താരാഷ്ട്ര ഒളിമ്പി... | എൽ.ടി.ടി.ഇ
| 3 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.5251628160476685,
0.8107976913452148,
-0.11152574419975281,
0.07366742193698883,
0.36769306659698486,
-0.7878615260124207,
0.00044594169594347477,
0.8220480680465698,
-0.15801838040351868,
-0.162083238363266,
-0.19044366478919983,
0.4224002957344055,
-0.3858637809753418,
-0.3858851790428... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: ਭਾਮਾਸ਼ਾਹ ਸਵਾਸਥਯ ਬੀਮਾ ਯੋਜਨਾ
Output: | ভামাসা স্বাস্হ্যবিমা যোজনা | 2 | NIv2 | task1026_pib_translation_punjabi_bengali | zs_opt | [
0.22453750669956207,
0.7531269788742065,
0.22595563530921936,
-0.5299804210662842,
-0.04269963502883911,
-1.001404047012329,
1.300389051437378,
0.13903555274009705,
0.25899738073349,
0.5151125192642212,
-1.2314300537109375,
0.4486609101295471,
-0.4896751940250397,
0.5361127853393555,
0.1... |
Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) ori... | residence | 4 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.02835366129875183,
0.066999651491642,
-0.4445689022541046,
-0.7887559533119202,
0.08045581728219986,
-0.10582895576953888,
-0.2820735275745392,
-0.43264132738113403,
-0.17395195364952087,
-0.12282188981771469,
-0.31030112504959106,
1.0277401208877563,
-0.7643012404441833,
0.293646961450... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Problem:ଏହି ସହଯୋଗ ଦ୍ୱାରା ଭାରତୀୟ ଏମଏସଏମସି କ୍ଷେତ୍ରରେ ନୂତନ ସୁଯୋଗର ମାର୍ଗ ପ୍ରଶସ୍ତ ହେବାର ଆଶା କରାଯାଉଛି । ନୂଆ ବଜାର, ମିଳିତ ଉଦ୍ୟୋଗ, ଉତ୍କୃଷ୍ଟ... | કાર્યક્રમમાં વિશેષ અમલીકરણ એજન્સી (આઈઆરએસડીસી)ને જવાબદારી સુપરત કરવામાં આવી અને તેમાં સ્ટેશન પુનર્વિકાસને નવું સ્વરૂપ આપવા માટે ઉચિત માળખાગત પ્રક્રિયા અને માપદંડોમાં પરિવર્તનોને સામેલ કરવામાં આવ્યાં છે. | 8 | NIv2 | task1078_pib_translation_oriya_gujarati | zs_opt | [
-0.05912673845887184,
0.8236489295959473,
-0.2507050633430481,
0.12129907310009003,
-0.10677371919155121,
-0.24239188432693481,
-0.23258838057518005,
-0.3398904502391815,
-0.21681520342826843,
0.03289824724197388,
-0.6255865097045898,
-1.0844600200653076,
0.1110282838344574,
0.035815306007... |
Definition: Generate a correct and concise answer for the question based on the words in the context.
Input: Context : Vizeflugmeister Karl Scharon was a World War I flying ace credited with eight aerial victories.
Question : What war did Karl Scharon fight in?
Output: | World War I | 2 | NIv2 | task1327_qa_zre_answer_generation_from_question | zs_opt | [
-0.10614122450351715,
0.7825853824615479,
0.15157145261764526,
-0.22530138492584229,
0.583504319190979,
0.3912036418914795,
0.5520083904266357,
0.7695099115371704,
0.4399263560771942,
-0.15814612805843353,
-0.6766563057899475,
-0.8509421348571777,
-0.8171980381011963,
-0.10504479706287384,... |
A text is given in Marathi. Translate it from the Marathi language to the Panjabi language. The translation must not omit or add information to the original sentence.
लोकशाही मतपत्रिकेपुरती मर्यादित असू शकत नाही आणि म्हणूनच ‘न्यू इंडिया’ मध्ये आम्हाला त्या लोकशाहीवर भर द्यायचा आहे ज्यामध्ये एखाद्या राजवटीने लोक नव्हे ... | ਮੇਰੇ ਪਿਆਰੇ ਦੇਸ਼ ਵਾਸੀਓ *ਨਿਊ ਇੰਡੀਆ* ਸਾਡੀ ਸਭ ਤੋਂ ਵੱਡੀ ਤਾਕਤ ਹੈ, ਲੋਕਤੰਤਰ ਹੈ। ਪਰ ਅਸੀਂ ਜਾਣਦੇ ਹਾਂ ਕਿ ਲੋਕਤੰਤਰ ਨੂੰ ਵੋਟਾਂ ਤੱਕ ਸੀਮਤ ਕਰ ਦਿੱਤਾ ਹੈ। ਲੋਕਤੰਤਰ ਵੋਟਾਂ ਤੱਕ ਸੀਮਤ ਨਹੀਂ ਹੋ ਸਕਦਾ ਅਤੇ ਇਸ ਲਈ ਅਸੀਂ*ਨਿਊ ਇੰਡੀਆ* ਵਿੱਚ ਉਸ ਲੋਕਤੰਤਰ ਉੱਪਰ ਜ਼ੋਰ ਦੇਣਾ ਚਾਹੁੰਦੇ ਹਾਂ ਜਿਸ ਵਿੱਚ ਤੰਤਰ ਤੋਂ ਲੋਕ ਨਹੀਂ, ਪਰ ਲੋਕਾਂ ਤੋਂ ਤੰਤਰ ਚੱਲੇ, ਅਜਿਹਾ ਲੋਕਤੰਤਰ *ਨਿਊ ਇੰਡੀਆ* ਦੀ ਪ... | 0 | NIv2 | task1029_pib_translation_marathi_punjabi | zs_opt | [
0.2588958144187927,
0.6150557994842529,
0.18257227540016174,
0.26669377088546753,
-0.1613212674856186,
-0.9895714521408081,
0.8163343071937561,
0.5997134447097778,
-0.06409294158220291,
-0.41686710715293884,
-0.010420014150440693,
-0.4467873275279999,
0.019762832671403885,
-0.1002719551324... |
Q: In this task, you will be shown a conversation. You need to write a question with three choices for the conversation. Your question should be answerable based on the conversation and only have one correct answer. Note that you don't need to answer your question. "W" and "M" in the conversations stand for "woman" and... | What is John doing now? (A) He is speaking to others. (B) He is having a meeting. (C) He is doing his work. | 7 | NIv2 | task246_dream_question_generation | zs_opt | [
0.4718526601791382,
0.5834097862243652,
-0.22233515977859497,
-0.9383361339569092,
0.22873756289482117,
-0.6479164361953735,
0.2784706950187683,
0.05284542590379715,
0.021655812859535217,
-0.003622117917984724,
-0.2685503661632538,
0.4560346007347107,
0.551777720451355,
-0.2291585505008697... |
Teacher:In this task, you are given a premise sentence in Persian and a label in English. Label determines whether a hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. You have to generate the hypothesis sentence based on the label and the premise sentence. Your sentence... | کالاها باید به موقع تحویل داده شوند. | 6 | NIv2 | task464_parsinlu_entailment_sentence_generation | zs_opt | [
-1.2600560188293457,
0.11840292811393738,
0.3282080590724945,
0.09041481465101242,
-0.40234801173210144,
-0.29772186279296875,
0.40250635147094727,
0.2921627163887024,
0.0822063609957695,
-0.06648290157318115,
-0.5203760862350464,
0.3820391297340393,
-0.5642364621162415,
-0.205891430377960... |
You are given a sentence in English. Your job is to translate the English sentence into Spanish.
One example is below.
Q: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
A: Con el crecimiento, los países y las sociedades ingresan e... | Sí. | 9 | NIv2 | task1219_ted_translation_en_es | fs_opt | [
-0.9900607466697693,
0.33267897367477417,
0.4982298016548157,
-0.09043103456497192,
0.009892802685499191,
-0.5336025357246399,
-0.1240394115447998,
0.9700502753257751,
-0.3784428834915161,
-0.37998059391975403,
-0.4662446081638336,
0.24205593764781952,
-0.589472234249115,
0.045418482273817... |
Teacher: In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
Teacher: Now, understand the problem? If you are still confused, see the following example:
This is my... | POSITIVE | 2 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-1.0646471977233887,
-0.3489748239517212,
0.43950730562210083,
-0.29535314440727234,
-0.03821040689945221,
-0.41589102149009705,
0.6403506994247437,
0.9410234689712524,
-0.040603045374155045,
0.05346982926130295,
0.2525293529033661,
-0.09952063113451004,
-0.2933928966522217,
0.560282230377... |
Q: In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)... | 5 | 7 | NIv2 | task629_dbpedia_14_classification | zs_opt | [
-0.29491615295410156,
0.43384552001953125,
0.7247370481491089,
0.3790785074234009,
1.0019547939300537,
0.00280877947807312,
0.4150763750076294,
-0.08004221320152283,
-0.20809051394462585,
0.8263490200042725,
0.020740017294883728,
0.16307500004768372,
0.08845016360282898,
-0.132127732038497... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Non-hateful | 4 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.6630487442016602,
0.41358140110969543,
0.24572913348674774,
0.6847782135009766,
-0.06476829200983047,
-0.7494199275970459,
0.7393862009048462,
1.5796129703521729,
0.8339088559150696,
0.061842095106840134,
-0.0817418023943901,
0.44299763441085815,
-0.3928883671760559,
-0.6864970922470093... |
Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Consider Input: ការពិនិត្យឡើងវិញនូវរបាយការណ៍អង្គការ ព្រៃកោងកាងពិភពលោកពីឆ្នាំ1980និងឆ្នាំ2005។
Output: 機関のレポートは、１９８０～２００５年の世界のマングローブを... | Output: カナダ統合参謀総長のウォルターNatynczyk大将、国防相ならびに大西洋地域経済開発庁大臣のピーター・マッカイ閣下、チャールズ・ウッド?セントジェイムズ?アッシニボイアの下院議員ならびに保健省議会秘書のスティーブン・フレッチャーは、ヌナブト準州のイカルイトに飛んで行き、2008年8月19日に公式に実習を開始して、プロセスを観察した。
| 2 | NIv2 | task1122_alt_khm_ja_translation | fs_opt | [
-0.14243900775909424,
-0.5327601432800293,
-1.3005256652832031,
-0.2739028036594391,
-0.09392952919006348,
-1.3142457008361816,
0.794181227684021,
-0.30374875664711,
-0.2263505458831787,
0.14897151291370392,
-0.017710354179143906,
0.20011119544506073,
-0.9980729222297668,
-0.08200278878211... |
In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
One example: Fac... | Rohit Kumar Aamir Khan is an aspiring playback singer while Kiran Manisha Koirala is an ambitious classical singerintraining. They meet, relate to each others sentiments, fall in love and get married prematurely. When Kirans parents oppose their marriage, they decide to lead a separate life. However, after marriage, Ki... | 6 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.42854517698287964,
0.034452106803655624,
-0.3066713809967041,
0.5840132832527161,
0.10926023125648499,
-0.8498894572257996,
0.09371789544820786,
1.4197899103164673,
-0.5580325126647949,
0.2353120744228363,
-0.41205716133117676,
-0.14083260297775269,
-0.36506539583206177,
1.02562928199768... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
[Q]: Beginning: Anita t... | 2
| 5 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.05695733800530434,
0.502716064453125,
0.36993974447250366,
-0.08430734276771545,
-0.884168803691864,
-1.2105882167816162,
0.5091836452484131,
1.0777965784072876,
0.06970201432704926,
0.11270187795162201,
-0.5441505908966064,
0.08456446975469589,
-0.6315401792526245,
-0.6209447383880615,... |
A text is given in Malayalam. Translate it from the Malayalam language to the Tamil language. The translation must not omit or add information to the original sentence.
Example: നരേന്ദ്ര മോദി നാളെ (ഡിസംബര് 27, 2018) ഹിമാചല് പ്രദേശ് സന്ദര്ശിക്കും
Example solution: நரேந்திர மோடி (டிசம்பர் 27 மற்றும் 2018) நாளை பிரதேசத... | Solution: நாட்டில் அமைக்கப்பட்டுள்ள நீண்ட சுரங்கப்பாதை, நீண்ட இயற்கை எரிவாயு குழாய் பதிப்பு, மிகப்பெரிய செல்பேசி தயாரிப்பு தொழிற்சாலை, ஒவ்வொரு வீட்டிற்கும் மின்சாரம் உள்ளிட்ட பல திட்டங்களை பிரதமர் சுட்டிக்காட்டினார். | 5 | NIv2 | task999_pib_translation_malayalam_tamil | fs_opt | [
-0.167188823223114,
-0.31616103649139404,
0.2657575011253357,
0.049166422337293625,
-0.18168406188488007,
-1.1414388418197632,
-0.18353018164634705,
-0.07576529681682587,
-0.9684516787528992,
0.7730621099472046,
-0.5928059816360474,
-0.11481595039367676,
0.09452544152736664,
0.288801550865... |
instruction:
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to write a single word that describes the genre that the two sentences belong to, such as face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction.
question:
Sentence 1: Oh, just by askin... | fiction
| 9 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-1.2595548629760742,
0.893103301525116,
-0.23041006922721863,
-0.9476590156555176,
-0.03700284659862518,
-0.14452823996543884,
0.14654038846492767,
0.11969076097011566,
-0.15343549847602844,
-0.18279433250427246,
-0.1454484462738037,
0.5052884221076965,
-0.1821129471063614,
-0.168057009577... |
You will be given a definition of a task first, then some input of the task.
A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.
ഇന്ത്യയിലെ ജനങ്ങളെ അഭിനന്ദിച്ച പ്രധാനമന്ത്രി ബുള്ളറ്റ് ട്രെയിന് പദ്ധതി... | તેમણે આ પ્રસંગે ભારતની જનતાને અભિનંદન આપ્યાં હતાં અને જણાવ્યું હતું કે, બુલેટ ટ્રેન પ્રોજેક્ટ ઝડપ અને પ્રગતિ પ્રદાન કરશે તથા ઝડપથી પરિણામો મળશે. | 1 | NIv2 | task1042_pib_translation_malayalam_gujarati | zs_opt | [
-0.697425127029419,
0.8030836582183838,
0.18500256538391113,
-0.7369924783706665,
0.5482609272003174,
-0.4966679811477661,
0.9720033407211304,
0.009309150278568268,
-0.17428550124168396,
-0.3497928977012634,
-0.7745592594146729,
0.3249695301055908,
-0.31168755888938904,
-0.0203336589038372... |
instruction:
In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
question:
Mohapatraは、５月１日に出されたIMDの最初の警告速報がサイクロンによって襲われそうな地域を示... | The cause of the disease has been identified as Enterovirus 71 (EV-71).
| 9 | NIv2 | task436_alt_ja_en_translation | fs_opt | [
0.09425312280654907,
-0.050029899924993515,
-0.17173168063163757,
-0.7409776449203491,
-0.03116251528263092,
-0.3180483877658844,
0.0930621325969696,
0.49264049530029297,
0.22137890756130219,
-0.6743888854980469,
-0.21207866072654724,
-0.30389824509620667,
-1.063842535018921,
-0.0358765348... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: (Música) El día de los caídos, estrenamos "" The National Mall "", un álbum de localización lanzado exclusivamente como una aplicación móvil que utiliza el GPS integrado del dispositivo para mapear sóni... | (Música) No "" Memorial Day "", lançámos "" The National Mall "", um álbum com consciência espacial, lançado exclusivamente como uma aplicação para o telefone que usa a funcionalidade do GPS para mapear sonoramente o parque inteiro da nossa cidade natal de Washington, D.C. | 2 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
-0.5579854846000671,
0.5017632246017456,
-0.9136713743209839,
0.013950656168162823,
-0.5875614881515503,
-0.6690006852149963,
0.41803184151649475,
0.7673044800758362,
-0.08658009767532349,
0.6945012807846069,
-0.7650905847549438,
-0.04030551388859749,
-0.29504430294036865,
-0.1400353312492... |
Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Good, sturdy platform for squatting under a barbell. Very firm. Laces are long enough to wrap around ankles, and back of shoe forms a fair notch to retain the laces and keep them from sliding up and off the ... | Positive | 0 | NIv2 | task493_review_polarity_classification | zs_opt | [
0.1964472234249115,
0.3526959717273712,
-0.5869432687759399,
0.010329442098736763,
-0.11021903157234192,
0.1316523253917694,
0.6683067083358765,
0.1856347620487213,
0.008594643324613571,
0.3478138744831085,
0.014391490258276463,
0.8109980225563049,
-0.47366732358932495,
-0.2902863025665283... |
A text is given in Marathi. Translate it from the Marathi language to the Oriya language. The translation must not omit or add information to the original sentence.
[EX Q]: ସବୁ ରେକର୍ଡ଼ କାହିଁକି ତୁଟି ଯାଉଛି ?
[EX A]: 64 कोटी रुपये असणे जरुरी आहे.
[EX Q]: (iv) ଡିପିଆଇ ଏବଂ ତ୍ୱରିତ ପ୍ରତିକ୍ରିୟା (କ୍ୟୁଆର) କୋଡ ଆଧାରିତ ପରିଶୋଧ ସ୍ୱି... | समाजात असलेल्या सगळया वाईट गोष्टी, प्रथा, परंपरा याविरूद्ध ते आवाज उठवत होते. आणि आता तुम्ही तो कोणता काळ होता, याचा विचार करा.
| 6 | NIv2 | task1056_pib_translation_oriya_marathi | fs_opt | [
-0.5951938033103943,
0.5351945161819458,
-0.5979198813438416,
-0.2553741931915283,
-0.4338862895965576,
-0.28610143065452576,
0.5831078290939331,
0.5431956052780151,
0.374081552028656,
-0.24270376563072205,
-0.5765587091445923,
-0.8157739639282227,
-0.1943335235118866,
0.03966314345598221,... |
TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
PROBLEM: Sentence 1: You've got a lot of people to convince.' Sentence 2: You h... | 4
| 8 | NIv2 | task198_mnli_domain_classification | fs_opt | [
0.09454423189163208,
0.3431012034416199,
-0.013698241673409939,
0.17687232792377472,
0.07887010276317596,
-0.317277729511261,
0.2691800892353058,
0.7688007354736328,
-0.41153448820114136,
-0.1362859308719635,
-0.6344414949417114,
0.0699983611702919,
-0.27328407764434814,
-0.608725488185882... |
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Example input: Review: Arrived broken. Manufacture... | False | 3 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.28046801686286926,
0.06255201995372772,
-0.23033905029296875,
0.5904622673988342,
0.4534498453140259,
0.11820011585950851,
0.6129263639450073,
1.0584384202957153,
0.034443292766809464,
0.2484307885169983,
0.20833396911621094,
0.12294887751340866,
-0.5516693592071533,
0.3720974326133728,... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) is when an individual has a false belief about another in... | green_cupboard
****
| 4 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
-0.0954580008983612,
-0.3865637481212616,
-0.6481198072433472,
-0.16977064311504364,
-0.3140355944633484,
-0.46898016333580017,
-0.19740697741508484,
0.8650338649749756,
-0.24189530313014984,
0.03484606742858887,
0.20559300482273102,
0.2458433210849762,
-0.35511288046836853,
-0.01553597208... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
אז אם אתם יכולים להיות שמנים ללא תנגודת לאינסולין, ואתם יכולים להיות רזים ושיהיה לכם את זה, זה מרמז שהשמנת ייתכן והינה פשוט שרת פרוקסי עבור מה שקורה. | Entón, pódese ser obeso e non ter resistencia á insulina, e pódese estar delgada e tela. Isto suxire que a obesidade pode ser só un representante do que está sucedendo. | 0 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.2137302160263062,
1.0500850677490234,
-0.13266009092330933,
-0.6666920781135559,
-0.9169197082519531,
-0.04357597231864929,
0.2842124104499817,
0.5986268520355225,
0.7611669301986694,
-1.1064141988754272,
-1.0263859033584595,
0.004815400578081608,
-0.778340220451355,
-0.1601217985153198... |
Detailed Instructions: Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the ... | Does endoplasmic reticulum stress activate the hepatic activator protein 1 complex via mitogen activated protein kinase-dependent signaling pathways? | 8 | NIv2 | task845_pubmedqa_question_generation | zs_opt | [
0.8787350058555603,
-0.11744842678308487,
-0.30047401785850525,
-0.16014963388442993,
0.5942690372467041,
-0.7928966879844666,
0.7780810594558716,
1.2282629013061523,
-0.40598368644714355,
-0.2039979100227356,
-0.3690415322780609,
-0.493459016084671,
-0.9047971963882446,
0.3853037357330322... |
Detailed Instructions: You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about ... | Person | 4 | NIv2 | task1289_trec_classification | fs_opt | [
-0.1093563362956047,
0.05172811076045036,
0.0639083981513977,
-0.47985783219337463,
-0.39007794857025146,
-0.9859868288040161,
0.8214527368545532,
-0.3906857371330261,
0.08171649277210236,
-0.1867765635251999,
-0.900443434715271,
-0.10374417901039124,
-0.2747533321380615,
0.458794414997100... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Input: Dlatego możesz zrzucić wagę i zacząć przyciągać ludzi do siebie, ale gdy dostaną się zbyt blisko pojawia się problem.
Output: | And so, you might start to lose weight and start to attract people towards you, but when they get too close it ’ s going to be a problem. | 2 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.14963902533054352,
0.8711250424385071,
-0.2913818359375,
-0.6395596265792847,
-0.22071030735969543,
-0.9362360239028931,
0.8482188582420349,
-0.8136265873908997,
0.322772741317749,
-0.23242579400539398,
-0.5326147079467773,
0.6873013973236084,
-0.9574439525604248,
0.11187049746513367,
... |
Definition: A text is given in Gujarati. Translate it from the Gujarati language to the Oriya language. The translation must not omit or add information to the original sentence.
Input: આ પ્રકારનાં વિસ્તારોમાં ભવિષ્યમાં પણ એચટીએલથી 200 મીટરનો ‘એનડીઝેડ’ હશે.
Output: | ଏହି ସରକାରକୁ ସମାଲୋଚନା କରାଯାଉ ବୋଲି ମୁଁ ଚାହେଁ । ସମାଲୋଚନା ଗଣତନ୍ତ୍ରକୁ ଦୃଢ଼ କରିଥାଏ । | 2 | NIv2 | task1077_pib_translation_gujarati_oriya | zs_opt | [
-0.486921489238739,
0.8208416104316711,
0.07957945764064789,
-0.045162346214056015,
-0.28026753664016724,
-0.9929940700531006,
0.18375520408153534,
-0.11527717113494873,
-0.3131902515888214,
-0.1206190288066864,
-0.7755730152130127,
-0.35475730895996094,
-0.703622579574585,
0.3017730712890... |
Given the task definition and input, reply with output. You will be given three sentences. Read them, then identify a noun phrase (person, place, or thing) or event that is shared between all three sentences. As the output, write the span of the text corresponding to that phrase in each sentence. Keep the order of the ... | 1: Mars 2: Mars 3: Mars | 5 | NIv2 | task281_points_of_correspondence | zs_opt | [
0.067042276263237,
0.6669509410858154,
-0.4200742244720459,
-0.6415996551513672,
-0.06073925271630287,
-0.3383462429046631,
0.11448666453361511,
0.41694375872612,
0.0399758480489254,
0.28245988488197327,
-0.43009352684020996,
-0.03941657394170761,
-0.494136780500412,
-0.39070409536361694,
... |
In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
One example: [7, 1, 5, 8, -4]
Solution is here: [6, 4, 3, 12]
Explanation: The... | [180, 35, 44, 19, 78, 168, 2, 66, 73, 161] | 6 | NIv2 | task125_conala_pair_differences | fs_opt | [
-0.6779682636260986,
0.529784619808197,
-0.566118597984314,
-0.076594278216362,
-0.2919996380805969,
0.020878098905086517,
0.785417377948761,
0.6091338396072388,
0.6766380667686462,
-0.5383837223052979,
0.0559324286878109,
-0.32064783573150635,
-0.057418499141931534,
-0.015410324558615685,... |
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Ex Input:
Question: The hamstrings flex the leg, whereas the quadriceps femoris have what effect? Answer: extend
Ex Output:
The hamstrings flex... | Skin is made up of two layers, the epidermis on top and the dermis below. The tissue below the dermis is called the hypodermis, but it is not part of the skin.
| 1 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.18259593844413757,
0.7450637817382812,
-0.8889998197555542,
-0.22285878658294678,
-0.7258355021476746,
-1.3459131717681885,
0.41401952505111694,
0.2283513993024826,
0.326854944229126,
-0.29692989587783813,
-0.8626300692558289,
0.3888259530067444,
-0.7880449295043945,
-0.41889047622680664... |
Given the task definition and input, reply with output. Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be i... | asteroids | 5 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.8512743711471558,
1.1308846473693848,
-0.07155890762805939,
-0.24206608533859253,
-0.6599124073982239,
-0.631274402141571,
0.266292929649353,
0.23481184244155884,
0.14634166657924652,
-0.5341671109199524,
-0.7992559671401978,
0.4378741979598999,
-0.2665676772594452,
0.05774104595184326,... |
In this task, you are given an answer, and your task is to generate a reasonable question for that answer.
One example is below.
Q: My stomach will be upset if i eat that.
A: Do you like pineapple on your pizza?
Rationale: The answer given was regarding something that the person ate and it caused his stomach upset. The... | Do you know much about this town? | 9 | NIv2 | task568_circa_question_generation | fs_opt | [
0.12227902561426163,
0.7847983837127686,
0.49588966369628906,
0.043900683522224426,
0.18598498404026031,
-0.7791810035705566,
0.6121587753295898,
0.9387935996055603,
-0.08416540920734406,
-0.3823331594467163,
-0.18210187554359436,
0.022365007549524307,
-1.2493816614151,
-0.2707313895225525... |
Detailed Instructions: Given a sentence in Dutch, generate a new Dutch 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 ... | Als je hunkert om piano te spelen dan moet je beginnen om muziek te lezen. | 8 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
-0.4467092752456665,
0.9683295488357544,
-0.516059160232544,
-0.07490147650241852,
-0.00874372199177742,
-0.4089854061603546,
0.34937912225723267,
0.2123626470565796,
0.6350269317626953,
-0.1638231873512268,
-0.2894876003265381,
0.421460896730423,
-0.7129935026168823,
0.28655415773391724,
... |
In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Q: Article: LONDON (Reuters)--New faces given to a Chinese man after a bear tore off part of his face and a FrenchCaribbean man disfigured by a rare tumor show that such transplants can ... | What's the main idea of this passage? | 4 | NIv2 | task311_race_question_generation | zs_opt | [
0.5253646373748779,
0.9013845920562744,
-0.2877582013607025,
-0.0009558619931340218,
-0.05713876336812973,
0.12300780415534973,
0.4198651909828186,
0.3441102206707001,
0.496609091758728,
-0.23443996906280518,
-0.47171685099601746,
0.6393454670906067,
-0.21008041501045227,
0.757537722587585... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | No
| 0 | NIv2 | task1205_atomic_classification_isafter | fs_opt | [
0.5768675208091736,
0.3939599394798279,
0.22326849400997162,
-0.02691078744828701,
-0.7053209543228149,
-0.3933010399341583,
1.1938443183898926,
0.44385623931884766,
-0.19372759759426117,
-0.27652621269226074,
-0.6855976581573486,
-0.4689399003982544,
-0.30431485176086426,
0.21727301180362... |
instruction:
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Chan... | Changed
| 9 | NIv2 | task515_senteval_odd_word_out | fs_opt | [
-0.6221774816513062,
0.9207882881164551,
0.16191789507865906,
-0.5550264120101929,
-0.41730719804763794,
-0.37387511134147644,
0.3972208499908447,
0.025577962398529053,
0.2641298174858093,
-0.44556450843811035,
-0.7063688039779663,
-0.7152952551841736,
-0.7392768859863281,
-0.1342606246471... |
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: آپ سبھی کو ، پورے ملک اور دنیا کے بین الاقوامی یوم یوگا کے موقع پرنیک خواہشات ۔
A: | आप सभी को, पूरे देश और दुनिया को अंतर्राष्ट्रीय योग दिवस की बहुत-बहुत शुभकामनाए। | 4 | NIv2 | task1054_pib_translation_urdu_hindi | zs_opt | [
-0.3005084991455078,
1.5917702913284302,
-1.309190273284912,
0.25648653507232666,
-1.0032397508621216,
-1.0692212581634521,
0.05224744230508804,
-0.3484708070755005,
-0.13470584154129028,
-0.769790768623352,
-0.24576228857040405,
0.18622128665447235,
-0.2379293143749237,
-0.036004953086376... |
Detailed Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not con... | Anti-stereotype | 4 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.08517521619796753,
0.42761462926864624,
-0.6972919702529907,
0.48553937673568726,
-0.27206969261169434,
-0.271678626537323,
0.7153570652008057,
0.7724061608314514,
0.4574005603790283,
-0.47333449125289917,
-0.5598084330558777,
0.08477208763360977,
-0.825246274471283,
-0.02574893645942211... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Input: Consider Input: Y todo el mundo afuera pensó que nos estábamos muriendo.
Output: Tutti quanti, fuori, credevano che stessimo morendo.
Input: Consider Input: Y para ellos, el autismo era devastador.
Output: Per l... | Output: Se questo avviene, penso che ne verranno fuori grandi cose.
| 2 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.22711804509162903,
0.827926754951477,
-0.17136061191558838,
0.22960138320922852,
-0.20085389912128448,
-1.1727516651153564,
-0.8698128461837769,
1.1445691585540771,
0.8237271308898926,
-0.10959403961896896,
-0.6962469816207886,
1.1136159896850586,
0.12549099326133728,
-0.238149404525756... |
Detailed Instructions: In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
Q: حامد لک (زادهٔ ۳ آذر ۱۳۶۹ در تهران) دروازهبان فوتبال اهل ایران است که در باشگاه فوتبال پرسپولیس بازی میکند. وی سابقه عضویت در تیمهای صب... | صبای قم، تراکتور، سایپا، فولاد، نساجی و ماشینسازی تبریز | 9 | NIv2 | task395_persianqa_answer_generation | zs_opt | [
0.5879116058349609,
0.3309759497642517,
-0.9939911365509033,
-0.2753797471523285,
-0.40596914291381836,
0.12959551811218262,
0.3531932234764099,
0.33651965856552124,
0.9623082876205444,
-0.24959608912467957,
-0.6663352847099304,
0.8170722126960754,
-1.2397592067718506,
0.10721060633659363,... |
Categorize the comment on the basis of threat. If the comment is threatening output Yes, otherwise output No.
Input: Consider Input: The exercise benefits of riding in a car equal those of riding in a bus. The rude drivers exist for both; they even crash into buses and send people to the hospital. I have a personal ... | Output: No
| 2 | NIv2 | task1722_civil_comments_threat_classification | fs_opt | [
-0.16181717813014984,
0.27892544865608215,
-0.4322251081466675,
0.7342664003372192,
-0.11827792227268219,
0.034031204879283905,
-0.0911213755607605,
0.7177108526229858,
0.05702546611428261,
-0.1890852153301239,
-0.10998564213514328,
0.14970314502716064,
-0.3779674768447876,
-0.541151702404... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
[EX Q]: De volta à pergunta, "" A arte pode mudar o mundo? "" Talvez não em 1 ano. Isso é o começo.
[EX A]: إذن بالعودة للسؤال ، "" أيمكن للفن أن يغير العالم ؟ "" ربما ليس في سنة واحدة. تلك هي البداية.
[EX Q]: Ela nã... | طلب مني عمل مقابلة العام الماضي بصفتي كطبقة "" ج "" المتدنية من المشاهير في أستراليا ، "ما هو اكتشافك في عام 2012 ؟"
| 6 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.47450578212738037,
0.8848771452903748,
0.21362635493278503,
-0.09164121747016907,
-0.5300137996673584,
0.14855298399925232,
0.16395653784275055,
0.45984238386154175,
0.2267228066921234,
-0.36474913358688354,
-0.16207998991012573,
0.06719021499156952,
-0.735073447227478,
0.02363386377692... |
Given the task definition, example input & output, solve the new input case.
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the cont... | Scottish | 1 | NIv2 | task303_record_incorrect_answer_generation | fs_opt | [
-0.16859972476959229,
1.1274898052215576,
-0.2624166011810303,
-0.009396128356456757,
0.18907731771469116,
-0.006578789558261633,
0.2862977385520935,
1.070401906967163,
-0.3683677613735199,
0.5704319477081299,
0.08620481938123703,
0.6987371444702148,
-0.6366009712219238,
0.2057481408119201... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Who did the Han Chinese want to help the Khitan no I mean the Mongols fig... | Cost overruns with government projects have occurred when the contractor did what? | 0 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | fs_opt | [
-0.566207766532898,
0.7640480995178223,
-0.03125063702464104,
-0.7119663953781128,
-0.029546517878770828,
-0.3801734149456024,
1.0223406553268433,
0.4613603949546814,
0.2855454683303833,
-0.09528975188732147,
-0.5649624466896057,
-0.8552193641662598,
-0.6616964340209961,
0.0624661035835742... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introd... | A man has tofu burgers on his grill | 5 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.37224557995796204,
1.4416570663452148,
-0.10173505544662476,
-0.3802300691604614,
-0.06212475523352623,
-0.11001858115196228,
-0.04595893621444702,
0.25311148166656494,
0.37948793172836304,
-0.24688337743282318,
-0.6515246033668518,
-0.18749268352985382,
-0.12172002345323563,
-0.1657874... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | Yes | 5 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.1720617413520813,
0.11643119156360626,
0.576500415802002,
-0.01809922605752945,
-0.22495554387569427,
-0.7961043119430542,
1.182646632194519,
0.28130480647087097,
-0.42085960507392883,
-0.3013511002063751,
-0.25019824504852295,
0.06585274636745453,
-0.7681427597999573,
0.376537978649139... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to concatenate all elements of A from the ith element to the jth element, and print the resultant string. i and j will be non-negative, and will always have a value less than the length of A. i wil... | u92948739479P78817971 | 4 | NIv2 | task100_concatenate_all_elements_from_index_i_to_j | fs_opt | [
0.40502816438674927,
0.16415034234523773,
-0.809394121170044,
-0.30196696519851685,
-0.474249929189682,
-0.6587942838668823,
0.39326101541519165,
0.31858301162719727,
-0.633714497089386,
0.1760849803686142,
-0.8203611969947815,
0.003763456828892231,
-0.058540575206279755,
0.195850268006324... |
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