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 |
|---|---|---|---|---|---|---|
In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Significaba un gran paso adelante para la Humanidad... y, sin embargo, en los cin... | Spanish
| 0 | NIv2 | task533_europarl_es-en_language_identification | fs_opt | [
-0.057342350482940674,
0.5405880808830261,
0.664690375328064,
0.12913855910301208,
0.2148611694574356,
-1.1781736612319946,
0.42530733346939087,
0.7568638324737549,
0.15319496393203735,
-0.0873253345489502,
-0.13117709755897522,
-0.1646670550107956,
-0.4375607967376709,
-0.4284802675247192... |
Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. Wh... | What may happen after meeting him at the station ?
| 7 | NIv2 | task023_cosmosqa_question_generation | fs_opt | [
0.2575753629207611,
0.06581969559192657,
-0.33036813139915466,
0.06889067590236664,
0.32312196493148804,
-0.37384524941444397,
0.546810507774353,
1.2618341445922852,
-0.13723397254943848,
0.15284278988838196,
-0.2682132124900818,
0.10569536685943604,
-0.5455918312072754,
0.3648801147937774... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Ex Input:
Sentence 1: so well i think eventually it will happen you know it's ... | yes
| 1 | NIv2 | task199_mnli_classification | fs_opt | [
0.15069285035133362,
-0.09786248207092285,
-0.33376696705818176,
-0.2489863783121109,
0.5065025091171265,
-0.5643239617347717,
0.15704713761806488,
1.4261523485183716,
-0.1756853461265564,
-0.21402592957019806,
-0.11125843226909637,
-0.27217692136764526,
-0.46481168270111084,
-0.3259713053... |
You are given a statement in Croatian, a question word and four choices in Croation. If the question word is "cause", you should choose the option that is most likely to be the cause of the statement. If the question word is "effect", you should pick the choice that is most likely to be a consequence of the statement. ... | Njihov je najbolji igrač bio ozlijeđen. | 6 | NIv2 | task1628_copa_hr_question_answering | fs_opt | [
0.4963721036911011,
0.9327133297920227,
-0.6947600841522217,
0.32586193084716797,
-0.3408733308315277,
-0.663844645023346,
0.8588982820510864,
0.18089231848716736,
-0.024105817079544067,
-0.123419851064682,
-0.018260911107063293,
0.6060067415237427,
-0.27392733097076416,
-0.191358089447021... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
皆さんもそうでしょうがイタリア・ルネサンス絵画の学芸員だった私にとって標準的なイコンです
Output: | Un ícono de todos, pero también la posición predeterminada de un comisario de pinturas del Renacimiento italiano, como era yo entonces. | 1 | NIv2 | task1223_ted_translation_ja_es | zs_opt | [
-0.798633337020874,
-0.24571865797042847,
-0.2318410873413086,
-0.5894702672958374,
-0.054659344255924225,
0.6257527470588684,
0.008505815640091896,
0.3104512095451355,
0.39662790298461914,
-0.9385800361633301,
0.0007488115224987268,
0.20565728843212128,
-0.7012946605682373,
0.459653019905... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Ex Input:
Relationship: 'turn to', Argument/Subject 1: 'israel', Argument/Subject 2: 'god'
Ex Output:
All of that changed when Israel turned from God and He divorced and sent ... | The meritorious cause is the beloved only-begotten Son of God ' our Lord Jesus Christ , who , when we were enemies ( Rom .
| 1 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
-0.01080459076911211,
0.7795953750610352,
-0.019109584391117096,
-0.08407745510339737,
-0.8767215013504028,
-0.440065860748291,
0.5125554203987122,
0.5765584111213684,
0.7030245065689087,
-0.017118103802204132,
-0.23071563243865967,
0.18958209455013275,
-0.8373938798904419,
-0.607384562492... |
In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2', or '3', c... | 1
| 1 | NIv2 | task201_mnli_neutral_classification | fs_opt | [
-0.012578529305756092,
-0.33639466762542725,
-0.3197682499885559,
0.333908349275589,
0.3013438284397125,
-0.3585454821586609,
0.2556341290473938,
0.9501498937606812,
0.10719150304794312,
0.44503238797187805,
-0.212919682264328,
0.08251622319221497,
0.02086756005883217,
-0.5158857703208923,... |
This task involves creating questions from a given passage that involve some kind of complex reasoning (including numerical reasoning).
The generated questions must require looking at more than one part of the passage to answer. Try to use a variety of reasoning types in your questions (some of the sample reasoning ty... | How many years did Danger TV series run?
| 7 | NIv2 | task026_drop_question_generation | fs_opt | [
0.6212013959884644,
-0.10290098190307617,
-0.3786458969116211,
0.28974542021751404,
0.543954610824585,
-0.09831802546977997,
0.6127976179122925,
0.4961165487766266,
0.1133621484041214,
-0.12134876847267151,
-0.17985156178474426,
0.5683608055114746,
-1.0024281740188599,
0.30723896622657776,... |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering ab... | Yes-no
****
| 4 | NIv2 | task462_qasper_classification | fs_opt | [
-0.22417764365673065,
-0.06435884535312653,
0.1037471741437912,
0.1380930095911026,
-0.07732740044593811,
-0.2392418384552002,
0.3163977265357971,
1.1055018901824951,
-0.0641162246465683,
0.3422676920890808,
-0.5426993370056152,
0.032657552510499954,
-0.27569520473480225,
0.234263271093368... |
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following types: "span", "d... | 1.
| 6 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.3157975375652313,
-0.2780265212059021,
-0.32656365633010864,
0.00930340588092804,
0.30425041913986206,
-0.5127173662185669,
0.8060110807418823,
0.37312519550323486,
-0.18916800618171692,
0.30154943466186523,
-0.6038974523544312,
0.11051991581916809,
-0.46218904852867126,
0.12986530363559... |
Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: हालंकि , विरोध तो सरकार के अंदर से भी जारी है और यह ... | The opposition even from within the Government continues , though , to be strenuous , and rumour has it that if a sale goes through it is generally because it has the prime minister 's personal backing . | 3 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.268854022026062,
0.7225905060768127,
0.732453465461731,
0.03093751333653927,
0.466981440782547,
-0.6161805987358093,
0.14500267803668976,
0.8185814619064331,
-0.5721493363380432,
0.21040940284729004,
-0.9561693072319031,
-0.4833100438117981,
-0.16457834839820862,
0.10280828177928925,
... |
Teacher:This task is about translating a given Spanish language sentence to English.
Teacher: Now, understand the problem? Solve this instance: - Usted no se pierda la oportunidad, ¿verdad?
Student: | - You don't miss a chance, do you? | 6 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.6862103939056396,
0.8093385100364685,
0.22517220675945282,
-0.621077299118042,
-0.1732664853334427,
0.06244649738073349,
0.4899509847164154,
0.6035721302032471,
0.46159881353378296,
-0.7255136966705322,
0.341422438621521,
-0.43021833896636963,
-0.20855526626110077,
-0.5830477476119995,
... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
One example: By Marianna SpringSpecialist disinformation reporter, BBC News The adverts show the Democratic Party challenger with an earpiece, and say that he refused to have his ears checked for devices... | Fine Gael's Phil Hogan has been named as the European Union's agriculture commissioner. | 6 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.23001521825790405,
0.46234017610549927,
-0.37803056836128235,
-0.004514297004789114,
0.14720036089420319,
0.004712074063718319,
0.5816954374313354,
1.0537097454071045,
-0.3103991746902466,
0.1622205674648285,
0.008856900036334991,
0.5978788137435913,
-0.40067100524902344,
0.3247914910316... |
Teacher: A text is given in Telugu. Translate it from the Telugu language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
بھارت کو طیاروں سے متعلق سرمایہ فراہمی کا ایک مرکز بنانے ... | బిఐబిఎఫ్ విద్యార్థులు ఐసిఎఐ యొక్క పరీక్షను రాసి, ఐసిఎఐ లో సభ్యత్వాన్ని పొందేందుకు అనువుగా ఐసిఎఐ తన యొక్క సిఎ కోర్సు పాఠ్యప్రణాళిక ను పరిచయం చేయాలని సిఫారసు చేస్తుంది; | 2 | NIv2 | task1038_pib_translation_urdu_telugu | fs_opt | [
-0.42846015095710754,
0.44167187809944153,
-0.4198015332221985,
-0.802148699760437,
0.2402493953704834,
-0.51976078748703,
0.3185902237892151,
0.8190580606460571,
-0.0053248656913638115,
0.09455984085798264,
-0.49922966957092285,
-0.6151440143585205,
-0.3335031270980835,
-0.266680061817169... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed b... | x, n, R, B, o, s, X, h, C, C, U, c, G, g, e, u, 1225, 6101, 4187, 2929, 6833, 9405, 3631, 8333, 5867, 8845, 911, 3457, 4039, 6343, 2401, 1475, 7151, 9423, 9263, 6197 | 0 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | fs_opt | [
0.48567894101142883,
-0.13164527714252472,
-0.5655497908592224,
0.03655495122075081,
0.5045767426490784,
-0.29488036036491394,
0.4824641942977905,
0.7219187617301941,
-0.6165485382080078,
0.40118223428726196,
-0.5515080094337463,
-0.3518466055393219,
0.2472222000360489,
0.07007775455713272... |
instruction:
In this task, you need to generate an appropriate title for the given summary of some paragraph. The generated title must be short and should include the main topic of the given text. Your summary should be less than 20 words long.
question:
As the prime minister sets out plans for a new wave of grammars a... | Canada politician Patrick Brown resigns amid sexual allegations
| 9 | NIv2 | task1358_xlsum_title_generation | fs_opt | [
0.1277102530002594,
0.9544907808303833,
0.012192850932478905,
-0.9611105918884277,
0.1882801055908203,
-0.804810106754303,
0.43855801224708557,
0.5203949213027954,
-0.3303099274635315,
0.6628910303115845,
0.1270272433757782,
-0.020879538729786873,
0.04583772271871567,
-0.37805962562561035,... |
Detailed Instructions: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
See one example ... | Yes | 4 | NIv2 | task310_race_classification | fs_opt | [
0.18687184154987335,
0.02542099356651306,
-0.26830047369003296,
-0.3820851743221283,
0.3384644091129303,
-0.20338556170463562,
1.0551445484161377,
0.927291214466095,
-0.11440864205360413,
-0.05518870800733566,
0.06145988404750824,
-0.04742521792650223,
0.09193050861358643,
0.35657626390457... |
Detailed Instructions: Given a paragraph from a Wikipedia article about some topic, and a question related to the topic, determine whether the question is answerable from the paragraph. If the question is answerable, answer "True", otherwise, answer "False".
See one example below:
Problem: Another approach to brain fun... | True | 4 | NIv2 | task1640_aqa1.0_answerable_unanswerable_question_classification | fs_opt | [
0.0635908991098404,
0.5473666191101074,
-0.0891771912574768,
-0.22876650094985962,
-0.2708444595336914,
-0.7876898646354675,
0.40460729598999023,
0.5006536245346069,
1.0289223194122314,
0.46515828371047974,
-0.07664883136749268,
0.5459926128387451,
-0.6550683379173279,
0.34991103410720825,... |
Q: 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" if it's the correct ... | False | 7 | NIv2 | task1187_politifact_classification | zs_opt | [
-0.9036767482757568,
0.6539252996444702,
-0.23181591928005219,
-0.5123229026794434,
-0.27215421199798584,
-0.4776122272014618,
0.7047650218009949,
-0.0965898185968399,
0.4398905634880066,
-0.3329979479312897,
-0.8559662103652954,
0.5481991767883301,
-0.5707516670227051,
0.2945173978805542,... |
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 describing a d... | A man riding an elephant in the jungle. | 0 | NIv2 | task102_commongen_sentence_generation | zs_opt | [
-0.6547808051109314,
-0.06480202078819275,
-0.24982154369354248,
0.0811406672000885,
-1.3048386573791504,
-0.7137042284011841,
0.2459908425807953,
0.7077734470367432,
-0.35868680477142334,
-0.7389240264892578,
-0.5546550154685974,
-0.23147068917751312,
-0.7103318572044373,
0.22151586413383... |
In this task, you are given a conversation between a flight agent and the customer. You are given 4 options and you need to select the goal of the conversation. It is provided as part of customer's context, which has to be one of the following: `book`: Make a new reservation, `cancel`: Cancel an existing reservation, `... | no_flight | 0 | NIv2 | task573_air_dialogue_classification | zs_opt | [
0.32726797461509705,
0.09273099899291992,
-0.6727515459060669,
-0.23658649623394012,
0.289531409740448,
-0.5750625133514404,
0.7623128890991211,
0.33718931674957275,
-0.19262130558490753,
0.7059912085533142,
0.45687001943588257,
-0.024753112345933914,
-0.17575693130493164,
-0.2649551928043... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Gurinderjit Rai's body was discovered in a car parked in a layby in Shepherds Farm Lane, Corhampton, Hampshire, on 13 July. Police believe the 41-year-old, from Eastleigh, was killed in a targeted attac... | A man has been arrested on suspicion of conspiracy to murder after a father was found shot dead in a car. | 0 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
-0.02418791875243187,
0.47983673214912415,
0.3116615414619446,
0.07047899067401886,
-0.6266222596168518,
-0.7687441110610962,
-0.5669004917144775,
-0.38607752323150635,
-0.23668552935123444,
0.2531388998031616,
-0.12040650844573975,
-0.22780276834964752,
-0.285946249961853,
1.0814121961593... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into English.
Ex Input:
Xa sei o que estades a pensar.
Ex Output:
I know what you're thinking.
Ex Input:
Tamén poder ser porque Goliat é un guerreiro con experiencia, e David só é un pastor.
Ex Output:
We also call him an underdog... | We had a team that worked on a project in Boston last year that took three people about two and a half months.
| 1 | NIv2 | task1238_ted_translation_gl_en | fs_opt | [
-1.1632695198059082,
0.3590475916862488,
-0.45573917031288147,
-0.28071483969688416,
-0.48119404911994934,
-1.5931867361068726,
0.6367610096931458,
0.31001123785972595,
0.680701732635498,
0.07675047218799591,
-0.5089880228042603,
0.5811693668365479,
-0.9573403596878052,
0.29485151171684265... |
Q: In this task, you are given a text which is the body of a document. You are given a question and options. Pick the correct number. Don't generate anything else apart from the numbers provided in options.
Context: Navkan (Persian: ناوكان also Romanized as Nāvkān; also known as Nāhūkān) is a village in Ashar Rural Di... | 5 | 7 | NIv2 | task633_dbpedia_14_answer_generation | zs_opt | [
-0.18641898036003113,
0.240898996591568,
0.922320544719696,
0.39973849058151245,
0.1878480166196823,
0.6913509368896484,
0.9591919183731079,
0.4619412124156952,
-0.4000013470649719,
-0.3916853070259094,
-0.984894335269928,
-0.21623779833316803,
-0.2767738699913025,
-0.11844364553689957,
... |
Detailed Instructions: A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: Fish And Milk Production Increases in Assam: Radha Mohan Singh
A: | مچھلیوں اور دودھ کی پیداوار میں آسام میں اضافہ:رادھاموہن سنگھ | 9 | NIv2 | task1057_pib_translation_english_urdu | zs_opt | [
0.39344078302383423,
-0.3104811906814575,
0.09157521277666092,
-0.4715685546398163,
0.07472707331180573,
-0.902879536151886,
-0.1837165653705597,
0.31056952476501465,
-0.43360257148742676,
-0.2603205442428589,
-0.06430304050445557,
-0.13374866545200348,
-0.5187430381774902,
0.1440456360578... |
Teacher:In this task, you will be shown an extract from a movie plot. You need to read the extract and create questions that can be answered from the extract. The questions should be well-formed and grammatically correct. The questions should be completely answerable from the given passage and should not require any ex... | What does the Terrian Culture ban? | 6 | NIv2 | task193_duorc_question_generation | zs_opt | [
0.38782379031181335,
0.5361883044242859,
-0.825066328048706,
-0.47420525550842285,
0.3995441496372223,
-0.5111801624298096,
0.7814087867736816,
0.5801196098327637,
-0.08673609793186188,
0.2728041410446167,
-0.265594482421875,
0.32863080501556396,
-0.25665900111198425,
0.14898312091827393,
... |
Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Example Input: Leeds City Council's children's services department was criticised in 2009 after a serious case review into the murder of toddler Casey Mullen. Ofsted found that it did not adequately saf... | A young soldier who was found dead at Deepcut barracks looked "upset" on the day she died, an inquest has heard.
| 3 | NIv2 | task1357_xlsum_summary_generation | fs_opt | [
0.5931146144866943,
0.7181201577186584,
-0.8439161777496338,
-0.4858049154281616,
0.576671838760376,
-0.1410059928894043,
0.4971175491809845,
0.9427437782287598,
-0.20710277557373047,
0.27677851915359497,
-0.19861125946044922,
1.1383159160614014,
-0.5198943614959717,
0.6235256791114807,
... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label "Yes" if the translation is correct, o... | Yes | 0 | NIv2 | task314_europarl_sv-en_classification | fs_opt | [
-0.35315343737602234,
0.5856606960296631,
0.7205920219421387,
-0.027617041021585464,
-0.1907324492931366,
-0.564199686050415,
0.8823909759521484,
0.19802844524383545,
0.7453688979148865,
-0.1368074268102646,
0.6596983075141907,
0.9007341265678406,
-0.5478653907775879,
0.39422303438186646,
... |
Part 1. Definition
In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Not... | [130, 228] | 7 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.591625988483429,
0.2130560576915741,
-0.20139393210411072,
-0.22834625840187073,
0.377706915140152,
-0.3001541793346405,
1.2869027853012085,
0.33371561765670776,
-0.07732172310352325,
-0.16317549347877502,
-0.5738729238510132,
0.06578049063682556,
-0.816633939743042,
-0.1976253986358642... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
One example: Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Solution is here: Ora, lungo i... | Questa è una necessità che il precedente oratore ha evidenziato: Dobbiamo vedere le cose — intendo, noi, la società occidentale che sta diventando globale, civilizzata — dobbiamo vedere. | 6 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.3472278118133545,
1.1333723068237305,
0.2727704346179962,
-0.2668416500091553,
-0.047869421541690826,
-0.73143070936203,
-0.7320454120635986,
1.4658148288726807,
-0.6102248430252075,
0.016796410083770752,
-0.8254619836807251,
0.1740308403968811,
-0.12043935060501099,
-0.2117586731910705... |
Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
Preocúpame moito que, sobre todo os nenos de hoxe, non van experimentar este tempo de inactividade xa que teñen unha cultura do clic instantáneo e que todo vén a eles; iso entusiásmalles moito e xéralles dependencia.
A: | من واقعا نگران اين هستم ، بويژه بچه هاي امروز ، نخواهند كه با اين زمان كوتاه كنار بيایند ، اونا فرهنگ كليك كردن آني دارن ، و همه چي براشون آماده است ، و اينكه با اون خيلي هيجان زده شوند و بهش معتاد بشن. | 7 | NIv2 | task1245_ted_translation_gl_fa | zs_opt | [
-1.0024738311767578,
0.5048100352287292,
-0.09221253544092178,
-0.6686766743659973,
-0.4583016037940979,
-0.18779610097408295,
0.9490951895713806,
0.6131090521812439,
0.45296937227249146,
0.40933817625045776,
-0.3808780610561371,
0.838559627532959,
-0.6874698400497437,
0.24354922771453857,... |
In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Example: Deserts are in extremely dry environments, so liquids will naturally be (A) rainbow (B) plentiful (C) meager (D) talented
Example solution: C
Example explan... | Solution: D | 5 | NIv2 | task1286_openbookqa_question_answering | fs_opt | [
-0.2660708427429199,
0.7231442928314209,
-0.3460279107093811,
-0.8492473363876343,
-0.8588442802429199,
-1.162227988243103,
0.5842710733413696,
0.8455603122711182,
-0.25369665026664734,
0.07822805643081665,
-0.1884157359600067,
-0.19751319289207458,
-0.21902672946453094,
-0.520894408226013... |
In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related... | 2
| 3 | NIv2 | task1541_agnews_classification | fs_opt | [
-0.6235198974609375,
0.15930795669555664,
-0.12959320843219757,
0.4853501319885254,
0.14451098442077637,
0.19866368174552917,
-0.16879792511463165,
0.5424206852912903,
-0.4365714192390442,
0.5299685597419739,
-0.5343610644340515,
-0.09988846629858017,
0.3118230700492859,
-0.161344721913337... |
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.
[EX Q]: Context_1 : Albert Hosmer Bowker (September 8, 1919 – January 20, 2008) was an American statistician... | 1989
| 6 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.43000155687332153,
-0.040096040815114975,
-1.0897074937820435,
-0.11552812159061432,
0.8327911496162415,
0.006569269113242626,
0.5919041633605957,
0.6263526678085327,
0.0059668030589818954,
0.1782377064228058,
-0.705204427242279,
1.2581865787506104,
-0.431345134973526,
0.1543592810630798... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | False
| 5 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.7455372214317322,
-0.10751930624246597,
-0.32229483127593994,
0.19071760773658752,
0.1747378408908844,
-0.784565806388855,
0.7268902063369751,
0.873522162437439,
0.16668906807899475,
0.14689145982265472,
-0.4459371864795685,
0.5107454061508179,
-0.8931189775466919,
0.1608096957206726,
... |
Teacher:In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
Teacher: Now, understand the problem? Solve this instance: Context: To investigate the frequency of numerical aberrations of chromosomes 7, ... | FISH analysis showed the presence of numerical chromosomal abnormalities in the articular cartilage of patients with OA. | 6 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.8032599687576294,
-0.4634839594364166,
-1.1349992752075195,
-0.08583743870258331,
0.14207527041435242,
0.02791939489543438,
-0.14407069981098175,
1.173696756362915,
0.3045075535774231,
-0.10434156656265259,
-0.07185163348913193,
-0.08907435089349747,
0.20927000045776367,
0.66213011741638... |
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.
Example Input: Question: How many bones make up an adult human skeleton? Answer: 206
Example Output: The adult human skeleton includes 206 bones... | Tension stress pulls rocks apart. Tension causes rocks to lengthen or break apart. Tension is the major type of stress found at divergent plate boundaries.
| 3 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
1.2984293699264526,
0.7250201106071472,
-0.796351432800293,
0.41586315631866455,
-0.4473082423210144,
-1.2873940467834473,
0.04456738382577896,
-0.022670181468129158,
0.016381308436393738,
-1.07187819480896,
-0.2026435136795044,
0.7748555541038513,
-0.9914275407791138,
0.3791295289993286,
... |
Combine the given two facts to write a concluding fact. Note that there should be some parts of the first and second facts that are not mentioned in this conclusion fact. Your combined fact should be the result of a chain between the two facts. Chains form when two facts connect together to produce a concluding fact. A... | clams reproduce sexually.
| 0 | NIv2 | task038_qasc_combined_fact | fs_opt | [
0.13683781027793884,
0.7217119932174683,
-0.7828319668769836,
0.0661207064986229,
-0.7532562017440796,
-0.9326688647270203,
0.03437061980366707,
0.6911951899528503,
-0.8018327951431274,
0.1317107379436493,
-0.4138483703136444,
0.41561102867126465,
-0.7518858909606934,
-0.06536851823329926,... |
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 numbers separated by comma inside brackets.
Example Input: [21.964, 10.747,... | [86, 49, -97, 39]
| 3 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.3801192045211792,
0.26283615827560425,
-0.31384962797164917,
-0.35533761978149414,
-0.02850399911403656,
-0.30080050230026245,
0.9207548499107361,
0.5376607179641724,
-0.2807921767234802,
0.11771953105926514,
-0.7039180994033813,
0.5285167694091797,
-0.10827140510082245,
-0.424037456512... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
Example: For a movie that gets no respect there sure are a lot of memorable quot... | negative | 1 | NIv2 | task284_imdb_classification | fs_opt | [
-0.06824688613414764,
0.03691072016954422,
-0.6299944519996643,
1.0512964725494385,
0.6436225771903992,
-0.17829665541648865,
0.882548451423645,
1.155219554901123,
-0.26455533504486084,
-0.17112979292869568,
-0.33654993772506714,
0.00778334541246295,
-0.006051759235560894,
-0.0350360721349... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do ... | Alex | 9 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.20844164490699768,
0.18665671348571777,
-0.610526442527771,
0.0334816575050354,
-0.7039970755577087,
0.08744363486766815,
0.5120659470558167,
0.5406056642532349,
-0.6583771705627441,
0.5038008689880371,
-0.0328294038772583,
-0.39021581411361694,
-0.4167407155036926,
-0.37333008646965027,... |
A text is given in Oriya. Translate it from the Oriya language to the Urdu language. The translation must not omit or add information to the original sentence.
Ex Input:
ଧମ୍ମପଦର 387ତମ ଉପଦେଶ ଅନୁଯାୟୀ :
Ex Output:
دھما پد کے 387 ویں اشلوک میں کہا گیا ہے :
Ex Input:
ବିଭିନ୍ନ ପଦକ୍ଷେପଗୁଡିକ ବିଷୟରେ ପ୍ରଧାନମନ୍ତ୍ରୀ ଆଲୋକପାତ କରି... | اس بائی پاس سے شہر میں ٹریفک کی بھیڑ بھاڑ کم ہوگی اور ٹریفک کی آمدو رفت میں آسانیاں پیدا ہوں گی۔
| 1 | NIv2 | task977_pib_translation_oriya_urdu | fs_opt | [
-0.8078799843788147,
0.5151297450065613,
-0.38271564245224,
-0.4205869436264038,
-0.7234901785850525,
-0.46648260951042175,
0.9651879072189331,
-0.10296648740768433,
0.3367365598678589,
-0.23740917444229126,
-0.8806973099708557,
0.005681261420249939,
-0.06303432583808899,
-0.16567817330360... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Example: Then, the camel stops and the woman gets down from the camel.
Example solution: A woman rides a camel holding a rode with her right hand while a man pulls the camel.
Example... | Solution: He leaves and joins someone next door. | 5 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4711259603500366,
0.9983739256858826,
-0.5108238458633423,
-0.1265868842601776,
-0.6387773752212524,
-0.4838714301586151,
-0.186354398727417,
1.558255910873413,
0.6045780777931213,
-0.17180316150188446,
-0.8613942861557007,
0.22343482077121735,
-0.14896005392074585,
0.058696210384368896,... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the English language. The translation must not omit or add information to the original sentence.
Input: গুগ্ল আর্টস অ্যান্ড কালচারের সহযোগিতায় এনসিএসএম পক্ষ থেকে স্মরণীয় উদ্ভাবন ও আবিষ্কারগুলি নিয়ে প্রদর্শনী
Output: | National Council of Science Museums of Culture Ministry collaborates with Google Arts Culture for largest interactive online exhibition on inventions and discoveries | 2 | NIv2 | task995_pib_translation_bengali_english | zs_opt | [
-0.797544002532959,
-0.02211373671889305,
0.39312541484832764,
0.23514892160892487,
0.013796191662549973,
-0.8525593280792236,
-0.2443481832742691,
-0.07743664085865021,
-0.1866382360458374,
0.23924046754837036,
-0.17854401469230652,
0.05257265269756317,
-0.10279631614685059,
0.73967593908... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Example: Who was the first American President?
Example solution: president of the united states
Example explanation: The question talks about the president of the USA.
Problem: In which foreign c... | Solution: bridge of sighs | 5 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
0.46956688165664673,
0.6563231348991394,
0.007338330149650574,
0.4051774740219116,
-0.3037828207015991,
-1.1374104022979736,
0.982184648513794,
0.31655406951904297,
0.3547024726867676,
-0.30978330969810486,
-0.7522483468055725,
0.1671733260154724,
-0.5963205099105835,
-0.18671950697898865,... |
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.
Ex Input:
Givetvis är jag positiv till att vi skall hjäl... | English
| 1 | NIv2 | task315_europarl_sv-en_language_identification | fs_opt | [
-0.7238118052482605,
0.7488970160484314,
0.8496476411819458,
-0.34548816084861755,
0.2951701283454895,
-0.8597739934921265,
0.7491215467453003,
0.7198194861412048,
0.5275382995605469,
-0.09897943586111069,
-0.46885934472084045,
0.4501349627971649,
-0.5178873538970947,
-0.6994903683662415,
... |
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 coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Let me give you an example... | 2 | 8 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.07978221774101257,
0.37469446659088135,
0.2966352701187134,
0.24230384826660156,
-0.11392289400100708,
-0.39540308713912964,
0.19891414046287537,
1.1231003999710083,
-0.3495493531227112,
0.2024979293346405,
-0.5049151182174683,
-0.23363737761974335,
-0.21325916051864624,
-0.641811251640... |
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? If you are still confused, see the following example:
Sentence: 'Harry glanced again at the raw looking th... | be state in | 2 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
0.3257984220981598,
0.692426323890686,
0.7103228569030762,
-0.8615278601646423,
-0.28016501665115356,
-0.7158750891685486,
-0.4341554641723633,
0.8806977868080139,
-0.24674665927886963,
-0.41825976967811584,
-0.47439777851104736,
-0.3822203278541565,
-0.4130578637123108,
0.0201338455080986... |
Given the task definition and input, reply with output. Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
By Katherine SellgrenBBC News education reporter The National Union of Teachers and the NASUWT said they had served notice to schools that their m... | Thousands of pupils in England could have lessons disrupted, as two unions announce they are pushing ahead with strike action over pay and pensions. | 5 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.11400105059146881,
0.23308151960372925,
-0.09836944937705994,
-0.7233420014381409,
0.05928095430135727,
-0.44852393865585327,
-0.21620459854602814,
0.6098995208740234,
-0.6830492615699768,
0.040555305778980255,
0.5354229807853699,
0.7645480036735535,
-0.07867630571126938,
-0.694432973861... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
ولكن ماهي حقوق الإنسان ؟
Solution: Mas o que são direitos humanos?
Reason: The Arabic sentence is correctly translated int... | na qual combinaremos poder tradicional com "" soft power "" em estratégias de poder inteligente. | 2 | NIv2 | task1109_ted_translation_ar_pt | fs_opt | [
0.2964741885662079,
0.7269489765167236,
0.13918691873550415,
-0.9892517328262329,
-0.7921154499053955,
-1.0510773658752441,
0.6134368777275085,
0.8645163774490356,
0.287233829498291,
-0.4212717115879059,
-0.4181547462940216,
0.18759417533874512,
-0.863238513469696,
-0.160719633102417,
1.... |
In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether information from the pass... | a
****
| 4 | NIv2 | task233_iirc_link_exists_classification | fs_opt | [
0.7675894498825073,
0.35987648367881775,
-0.7111279964447021,
0.40017232298851013,
0.1767125129699707,
-0.4828187823295593,
0.6580033302307129,
0.8473562002182007,
-0.014734786003828049,
0.270378053188324,
0.13250583410263062,
0.4363534450531006,
-0.5406646132469177,
0.19168934226036072,
... |
In this task, you are given a sentence from the research paper and the category to which it belongs. Your task is to classify whether the given category is correct or not by providing "True" and "False", respectively. Here are the definitions for the categories: Background (Why is this problem important? What relevant ... | False
****
| 4 | NIv2 | task1164_coda19_section_correction_classification | fs_opt | [
-0.07921163737773895,
0.45558035373687744,
-0.30752435326576233,
-0.1394084393978119,
-0.04615575075149536,
0.7965007424354553,
0.7178940773010254,
0.6392395496368408,
0.02165338210761547,
-0.2708333134651184,
-1.133085012435913,
0.27381375432014465,
-0.09951314330101013,
0.476753205060958... |
instruction:
You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
... | On what date did Stéphane Mallarmé expire?
| 9 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.523619532585144,
0.6486871242523193,
-0.7055639028549194,
0.12382262945175171,
-0.024954888969659805,
-0.7008017301559448,
0.63032066822052,
0.2070004642009735,
0.7066354155540466,
0.12831111252307892,
-0.6109382510185242,
1.2055847644805908,
-1.0866239070892334,
0.43519771099090576,
0... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.
--------
Question: Dunque, ci sono delle persone che credono che io sia stato maleducato con questo ragazzo.
Answer: Então as pessoas pensam que estou a ser indelicado com esta criança.
Question: È una cometa nuova di ... | Agora vamos ver como funciona na prática.
| 7 | NIv2 | task1255_ted_translation_it_pt | fs_opt | [
-0.29078295826911926,
1.0373363494873047,
-0.3697821795940399,
-0.684590756893158,
-0.2949066758155823,
-1.136831283569336,
0.20945946872234344,
1.2644003629684448,
-0.20846430957317352,
-0.17664186656475067,
-0.7508147358894348,
0.18356123566627502,
-0.45225921273231506,
0.161777645349502... |
This task is about translating a given French language sentence to English.
Ex Input:
As-tu pensé à ta future carrière ?
Ex Output:
Have you thought about your future career?
Ex Input:
Toujours dans ma façon de représenter les choses si nous devions nous partager les mérites du ETC
Ex Output:
SO IN MY TYPlCALLY Vl... | - They have all arrived.
| 1 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.6294371485710144,
0.67335045337677,
0.3727127015590668,
0.1289026141166687,
0.06791119277477264,
-0.42747145891189575,
-0.6452641487121582,
-0.10348324477672577,
0.7454925775527954,
-0.10966005176305771,
0.1000019982457161,
0.39891505241394043,
-0.06455463171005249,
-0.7374252080917358,... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -41, 'second': -62}, {'first': -3, 'second': -75}]
| 6 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.15664142370224,
-0.1458575576543808,
-0.18041183054447174,
-0.21311935782432556,
0.6873343586921692,
-0.16581933200359344,
0.8029388189315796,
0.9929163455963135,
-0.2311508059501648,
-0.2721032202243805,
-0.4545612335205078,
-0.27858033776283264,
-0.8334721326828003,
0.1757841408252716,... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 35124
| 0 | NIv2 | task300_storycloze_order_generation | fs_opt | [
-0.2232663482427597,
0.04420381411910057,
-0.7659668922424316,
0.3357570767402649,
-0.2975587546825409,
-0.5996091365814209,
0.4527455270290375,
0.6751248240470886,
-0.6251150369644165,
-0.13333004713058472,
-0.7351016998291016,
-0.2850857973098755,
-0.7308933734893799,
0.2219468504190445,... |
Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
One example is below.
Q: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
A: Italia berhasil mengalahkan Portugal 31-5 d... | 1 orang, Wasiu Olaleye, memerlukan pengobatan untuk luka pada kakinya karena "Aku harus melompat dari lantai pertama untuk menyelamatkan hidupku, " katanya. | 9 | NIv2 | task1115_alt_ja_id_translation | fs_opt | [
-0.016199922189116478,
1.1669139862060547,
-0.7035654783248901,
0.3308466374874115,
0.021199624985456467,
-0.474804162979126,
0.29099154472351074,
0.3809812664985657,
0.023718297481536865,
-0.20550647377967834,
-1.1186450719833374,
1.015420913696289,
-0.7001470327377319,
0.7966337203979492... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
אלה מעבדות סנדיה; בחור בשם ג 'ף ברינקר מצא דרך ליצור תהליך קידוד בהרכבה עצמית.
Output: | サンディア国立研究所のジェフ・ブリンカー博士が自己組織化製造過程を開発しています | 1 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.7681930065155029,
-0.16724464297294617,
-0.19428381323814392,
-0.2068975567817688,
-0.1755799949169159,
0.1181413009762764,
0.1708366870880127,
-0.3733311593532562,
0.6625324487686157,
-0.4396311342716217,
-0.903532862663269,
-0.18005657196044922,
-0.7042838335037231,
0.2384111583232879... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 欧州宇宙機関（ESA)は金曜日に、スコットランドの半分の大きさがある巨大な南極の氷棚であるウィルキンス棚が、大陸からすぐにも分離する可能性があ... | Badan Antariksa Eropa (ESA) pada hari Jumat melaporkan bahwa Wilkins Shelf, sebuah paparan es Antartika sebesar setengah dari luas negara Skotlandia, kemungkinan dapat melepaskan diri dari benuanya tidak lama lagi. | 6 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.35151028633117676,
0.9937375783920288,
-0.11549077183008194,
-0.4313108026981354,
-0.26142269372940063,
-1.216483235359192,
0.15960213541984558,
0.00926101952791214,
-0.1661691963672638,
0.12606030702590942,
0.14532291889190674,
1.215487003326416,
-0.4732816517353058,
0.3812102675437927... |
In this task you are given a Chinese paragraph related to criminal cases, your job is to give an answer to what the criminal's name is.
Q: 宁陵县人民检察院指控：被告人华某某在未办理林木采伐许可证的情况下，于2017年3月份，擅自砍伐了位于宁陵县柳河镇成楼村委东郭村南地、孔集沟北侧的杨树73棵，桐树8棵，经林业技术部门鉴定，共折合活立木蓄积12.6304立方米。为证明上述事实，公诉机关向本院提交了被告人的供述与辩解、证人证言、书证、鉴定意见、现场勘查笔录等证据材料。公诉机关认为，被告人华某某违反森... | 华某某 | 4 | NIv2 | task1666_cail2018_answer_generation | zs_opt | [
0.03529064729809761,
0.08452441543340683,
-0.20478494465351105,
-0.542805552482605,
-0.42976614832878113,
-0.5197746753692627,
0.040285300463438034,
0.7742453813552856,
-0.6044801473617554,
0.6762988567352295,
-0.3525128960609436,
-0.10031573474407196,
-0.3787491023540497,
0.37313354015350... |
Q: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact
English sentence: Partnership does not always need to involve tech companies and A/B tests with millions of participants. For example, Alexander Coppock, Andrew Guess, and John Ternovski ... | Dị ka ihe atụ, Alexander Coppock, Andrew maa, na John Ternovski (2016) partnered na gburugburu ebe obibi NGO (League of Conservation Voters) na-agba s nwere ule dị iche iche na azum maka ịkwalite-elekta mmadụ nchikota ndi mmadu di. | 7 | NIv2 | task452_opus_paracrawl_en_ig_translation | zs_opt | [
-1.0071229934692383,
0.19954782724380493,
0.22988642752170563,
-0.21133098006248474,
-0.12711144983768463,
-0.6501737833023071,
0.3028242290019989,
-0.6952857375144958,
-0.7563998699188232,
-0.4430771768093109,
0.2849440276622772,
0.11407144367694855,
-0.27553415298461914,
-0.5218054056167... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.
question:
Shakespeare com sete anos? Eu nunca pensei nisso.
answer:
شكسبير في السابعة ؟ أنا لم أفكر في ذلك قط. أقصد ، لقد كان
question:
(Vídeo) TMM: Vou mostrar-vos os meus amiguinhos.
answer:
(فيديو) ت.... | إذاً ماذا سيحدث لاحقاً ؟
| 9 | NIv2 | task1277_ted_translation_pt_ar | fs_opt | [
-0.21206994354724884,
1.1752843856811523,
-0.18229159712791443,
-0.5080056190490723,
-0.29063868522644043,
0.30349230766296387,
0.2860729694366455,
0.5070314407348633,
0.852180004119873,
0.01475442759692669,
0.5204969644546509,
0.1930893063545227,
-1.124361276626587,
-0.16734550893306732,
... |
Detailed Instructions: 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 e... | Yes | 9 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
-0.05306241661310196,
0.3131602704524994,
0.3981257677078247,
-0.25775080919265747,
-0.2447456419467926,
-0.9824916124343872,
1.0501136779785156,
0.47993040084838867,
-0.5252950191497803,
-0.5166394114494324,
-0.22418832778930664,
0.07421904802322388,
-0.5259997844696045,
0.225910365581512... |
In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
One example is below.
Q: Problem: what is difference between biggest and smallest fraction among 2 / 3 , 3 / 4 , 4 / 5 and 5 / 3
Options: a ) 2 / 5 , b ) 3 / 5 , c ) 1 / 6 , ... | e | 9 | NIv2 | task1420_mathqa_general | fs_opt | [
1.160498857498169,
0.46351519227027893,
-0.5852264761924744,
0.2171250730752945,
0.011308158747851849,
-0.13053885102272034,
1.2867602109909058,
0.5228080153465271,
-0.524497389793396,
0.3423544764518738,
-0.656947672367096,
0.29732704162597656,
0.059547148644924164,
-0.4001729488372803,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Example Input: 英語教師は常にそういった人材を拒否してしまいます。
Example Output: Nós, os profesores de inglés, rexeitámolos todo o tempo.
Example Input: ガラスの塊を回転式の炉で溶かす作業は
Example Output: Coller anacos de cristal, fundilos nun forno que está ... | Polo tanto, tendo a morte como unha parte da fábirca cultural e social da vida, afecta ás decisións da xente do día a día sobre a súa saúde e sobre a asistencia médica.
| 3 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-1.1211416721343994,
0.3711865544319153,
0.3335082530975342,
-0.5841741561889648,
-0.08547462522983551,
-0.8012850880622864,
0.043971918523311615,
0.42642486095428467,
-0.565061092376709,
-0.48009300231933594,
0.08919499069452286,
0.21084922552108765,
-0.3159875273704529,
0.362604856491088... |
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 such that it seamlessly connects with the rest of the story.
Title: Listening to npr. Sentence 1: Allie loved relaxing. Sentence 2: She decided to relax while listening to n... | She thought it was amazing. | 7 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
0.033198099583387375,
0.6482293605804443,
-0.1733069121837616,
0.0362045019865036,
-0.35482287406921387,
-0.5414745807647705,
1.0924912691116333,
-0.21213138103485107,
0.6549859046936035,
0.019796229898929596,
-0.2580720782279968,
-0.8870614171028137,
-1.1174142360687256,
0.181132704019546... |
In this task, you are given text for US Congressional and California state bills, your task is to generate a summary for this bill.
[EX Q]: SECTION 1. INCLUSION OF ADDITIONAL PORTION OF THE LITTLE SANDY RIVER
WATERSHED IN THE BULL RUN WATERSHED MANAGEMENT UNIT,
OREGON.
(a) In General... | Small Business Growth Act of 2009 - Amends the Internal Revenue Code to allow small business taxpayers with gross receipts of $5 million or less to elect to expense certain depreciable real property in the year such property is placed in service. Limits the amount of such expensing allowance to $125,000, adjusted for i... | 6 | NIv2 | task1658_billsum_summarization | fs_opt | [
-0.08182398974895477,
0.16583524644374847,
-0.28002119064331055,
-0.6417579054832458,
0.41846179962158203,
-0.6519268751144409,
0.5329598188400269,
0.9164427518844604,
-0.20685534179210663,
0.11666910350322723,
-0.19276577234268188,
0.22074736654758453,
-0.47075939178466797,
0.112544901669... |
Detailed Instructions: In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
Problem:Question: In what city is the uni... | 3 | 8 | NIv2 | task230_iirc_passage_classification | zs_opt | [
0.35890069603919983,
0.40311160683631897,
-0.7752416133880615,
-0.3424254059791565,
0.622195839881897,
0.15412631630897522,
0.9261771440505981,
0.6967563629150391,
0.1694546341896057,
0.15674716234207153,
0.32963138818740845,
1.1448800563812256,
-1.3193135261535645,
0.40513288974761963,
... |
Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Ex Input:
The old man stares back. She
Ex Output:
goes over to someone.
Ex Input:
Now, he pulls open a drawer and finds a jumble of dozens of coins in small boxes. He
Ex Output:
... | show more shots of people shooting.
| 1 | NIv2 | task453_swag_answer_generation | fs_opt | [
-0.11276006698608398,
0.7025150060653687,
-0.7188541889190674,
0.10843653231859207,
-0.0642576813697815,
-0.15622994303703308,
0.4237961173057556,
0.014412114396691322,
0.36846762895584106,
-0.23198466002941132,
-0.5678189396858215,
0.39162641763687134,
-0.45929133892059326,
0.409548580646... |
Part 1. Definition
In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Part 2. ... | 8168 | 7 | NIv2 | task086_translated_symbol_arithmetic | fs_opt | [
0.1663423776626587,
0.9286584854125977,
-0.6207435131072998,
-0.06123631075024605,
-0.24140529334545135,
-0.19209247827529907,
1.019585371017456,
0.9473377466201782,
0.35384970903396606,
-0.4941617548465729,
-0.8573163151741028,
-0.405640572309494,
-0.4210982024669647,
0.6938256025314331,
... |
Part 1. Definition
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: threat and non-threat. Threat is a statement that someone will be hurt or harmed, especially if the person does not do something in particular.
Part 2. Example
Comment: Enoug... | Threat | 7 | NIv2 | task322_jigsaw_classification_threat | fs_opt | [
-0.1397445797920227,
0.578640878200531,
0.792550802230835,
0.08147493749856949,
-0.022489871829748154,
-1.1478006839752197,
0.7696699500083923,
0.8113226890563965,
-0.0015706820413470268,
0.34475284814834595,
0.12284279614686966,
0.01669907756149769,
-0.9760019779205322,
-0.513393282890319... |
Given the task definition and input, reply with output. In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Question: Among the criteria of DSM-IV for the diagnosis of Obsessive Compulsive Personal... | 3 | 5 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
0.14496099948883057,
0.43037843704223633,
-0.20477449893951416,
-0.3436634838581085,
0.015735771507024765,
0.09878253936767578,
0.4353722929954529,
0.7182828187942505,
0.3393406271934509,
-0.12493620812892914,
-0.8869908452033997,
-0.20024707913398743,
-0.13493360579013824,
-0.483278632164... |
Instructions: In this task, you're given the beginning and the middle of a three-part story. Your job is to complete the short story by writing a probable ending. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when crea... | Jennifer felt bittersweet about it. | 3 | NIv2 | task071_abductivenli_answer_generation | zs_opt | [
-0.5359773635864258,
0.9641755819320679,
-0.2666946351528168,
-0.5737335681915283,
-0.624229907989502,
0.0666094496846199,
0.3018702268600464,
0.752310037612915,
-0.13502895832061768,
-0.38258397579193115,
-0.4296853542327881,
0.2622426748275757,
-0.19343715906143188,
-0.1449654996395111,
... |
Definition: In this task, you're given a statement and three sentences as choices. Your job is to determine the neutral choice based on your inference from the statement and your commonsense knowledge. The neutral choice is a sentence that neither agrees nor disagrees with the statement. Indicate your answer as '1', '2... | 2 | 2 | NIv2 | task201_mnli_neutral_classification | zs_opt | [
0.15538561344146729,
0.12546324729919434,
-0.08167152106761932,
-0.30520689487457275,
0.014065828174352646,
-0.3959309756755829,
0.5559014081954956,
0.5897801518440247,
0.6343998908996582,
0.03616582602262497,
-0.6983852982521057,
-0.29354673624038696,
-0.14434438943862915,
-0.031630795449... |
In this task, you are given a sentence with a missing word that can be an object, a person, and/or an action. Fill in the blank with a plausible word. Although each sentence has many correct answers, you only have to write one answer.
One example: PersonX sees ___ in the wild
Solution is here: tiger
Explanation: This i... | dog | 6 | NIv2 | task1217_atomic_answer_generation | fs_opt | [
-0.495039701461792,
0.6790270805358887,
-0.30594712495803833,
-0.4452363848686218,
-0.3698809742927551,
0.054533906280994415,
0.7479985952377319,
0.4637905955314636,
-0.2194957435131073,
-0.6850687265396118,
-0.2146446853876114,
-0.9605432748794556,
-0.40020111203193665,
0.0125471977517008... |
In this task, you are given a question in English, and your task is to translate it into Persian.
Input: Consider Input: How do Quora top writers spend their time on Quora?
Output: نویسندگان برتر Quora چگونه وقت خود را صرف Quora می کنند؟
Input: Consider Input: If more vacuum energy appears with expansion and it has... | Output: قلاب آدم چیست؟ کاربردهای آن چیست؟
| 2 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.9839857816696167,
0.6174008250236511,
0.058284059166908264,
-0.12708839774131775,
-0.668373703956604,
-0.6012399196624756,
0.9792240858078003,
-0.01865665800869465,
0.8559767007827759,
0.21950440108776093,
0.2716657519340515,
0.8354333639144897,
-1.1910626888275146,
-0.3787909746170044,... |
Teacher: You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
در جنوب غرب نیجریه ، این گیاه به عنوان Gbe'borun شناخته می شود.
Solution: In the southwestern part of Nigeria, the plant i... | After you take out that 99.999 percent, that tiny percentage of tweets remaining works out to roughly 150,000 per month. | 2 | NIv2 | task1265_ted_translation_fa_en | fs_opt | [
-0.7320946455001831,
0.15158414840698242,
0.4078046679496765,
-0.2425834834575653,
0.15997493267059326,
-0.7267497777938843,
0.6287482976913452,
-0.0528033971786499,
-0.1611347645521164,
0.250505268573761,
-0.9402766227722168,
-0.14227893948554993,
-1.086153507232666,
0.566673994064331,
... |
In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.
Ex Input:
During this time, we continue to keep our... | English
| 1 | NIv2 | task1621_menyo20k-mt_en_yo_language_identification | fs_opt | [
0.06860443204641342,
0.9393986463546753,
0.5453169941902161,
0.2686771750450134,
-0.23871971666812897,
-0.4738397002220154,
0.19966575503349304,
0.3465976417064667,
0.615684986114502,
-0.6883881688117981,
-0.04478849843144417,
0.5214598178863525,
-0.845016598701477,
-0.018592147156596184,
... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Вие сте най-вероятно да признаят игра в играчка мач. | 4 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | zs_opt | [
-0.16746143996715546,
0.4259185194969177,
-0.08262534439563751,
-0.36248645186424255,
-0.003243628889322281,
-0.8830112814903259,
0.9703521132469177,
0.23050686717033386,
0.7296656966209412,
-0.7304360866546631,
-0.6167454123497009,
0.7697148323059082,
-0.9116650819778442,
0.32148671150207... |
Definition: In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Input: S... | No | 2 | NIv2 | task114_is_the_given_word_longest | zs_opt | [
0.026732293888926506,
0.554517388343811,
0.3034473657608032,
0.2713819742202759,
-0.298109233379364,
-0.4824337363243103,
0.31261903047561646,
0.27051883935928345,
0.0003327741287648678,
-0.5615404844284058,
-0.791159451007843,
0.4825841784477234,
-0.1927453577518463,
0.1561231166124344,
... |
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.
Example input: These are junk! Both bulbs have burned out within a two month period!! I cannot b... | 2 | 3 | NIv2 | task1310_amazonreview_rating_classification | fs_opt | [
-0.6031882762908936,
-0.3230351209640503,
-0.23922289907932281,
-0.07982268929481506,
0.0833093672990799,
-0.2542977035045624,
0.38915225863456726,
0.6244251728057861,
-0.4221821427345276,
0.9423412084579468,
-0.3912394642829895,
0.34229323267936707,
-0.44444435834884644,
0.023884428665041... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
The actors behi... | The banker thanked the actors . | 0 | NIv2 | task1364_hans_answer_generation | zs_opt | [
-0.7400478720664978,
0.353827565908432,
-0.28264427185058594,
-0.008200470358133316,
0.11789076030254364,
0.19123144447803497,
0.3979688882827759,
-0.1343710571527481,
0.8347939252853394,
-0.673088550567627,
-0.8207312822341919,
-0.3484102189540863,
-0.34628504514694214,
0.0415363349020481... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
--------
Question: Pero creo que esa maxia estará con nós, e o importante é que nós sigamos o que el defendía.
Answer: でも彼の魔法は決して無くなりません大事なことは彼が成し遂げた偉業を私たちが受け継いでいくこと
Question: Antes de nada — cal é o teu nome? (Aplaus... | これにはすごい時間がかかりました
| 7 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-0.8147472739219666,
0.693770170211792,
0.2236666977405548,
-1.2070903778076172,
-0.25140976905822754,
-1.4769681692123413,
0.6273064017295837,
0.004666993394494057,
-0.6505082845687866,
-0.6029648184776306,
-0.05930974334478378,
0.610047459602356,
-1.1273095607757568,
0.20812156796455383,... |
Detailed Instructions: In this task you are given a sentence. You must judge whether the object of the main clause is singular(like: apple) or plural(like: apartments). Label the instances as "Singular" or "Plural" based on your judgment.
Problem:I pulled the covers up around me and it smelled like his scent and mine m... | Plural | 8 | NIv2 | task431_senteval_object_count | zs_opt | [
-0.8744698762893677,
0.9559952616691589,
0.14171674847602844,
-0.30345475673675537,
-0.2559758722782135,
-0.5425315499305725,
0.6749405860900879,
0.11553482711315155,
-0.1331459879875183,
-0.33100584149360657,
-0.43235456943511963,
0.37841397523880005,
-0.8603250980377197,
-0.5888170003890... |
Definition: You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given o... | Option A | 2 | NIv2 | task750_aqua_multiple_choice_answering | zs_opt | [
0.6780632734298706,
0.3156372904777527,
-0.5217194557189941,
-0.2839559018611908,
-0.04699505865573883,
0.21148639917373657,
0.6799724102020264,
0.6432228088378906,
0.5891088247299194,
-0.010247339494526386,
-1.039790153503418,
0.08733351528644562,
-0.25345951318740845,
-0.0325944311916828... |
In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remember the questi... | The lentils grew faster than the beans in the garden because the _ received less water.
| 5 | NIv2 | task034_winogrande_question_modification_object | fs_opt | [
0.6354158520698547,
0.2080080807209015,
-0.011922122910618782,
-0.20668187737464905,
0.5236365795135498,
-0.6091324090957642,
0.8296647071838379,
1.1462167501449585,
-0.8102575540542603,
-0.293577641248703,
-0.485142320394516,
0.04007234424352646,
-0.6496039628982544,
0.15554288029670715,
... |
Instructions: A text is given in English. Translate it from the English language to the Marathi language. The translation must not omit or add information to the original sentence.
Input: त्याचप्रमाणे मला वाटते श्रेष्ठ भारत घडवण्यासाठी हे छोटेसे काम प्रत्येक हिंदुस्थानी व्यक्ती करू शकते. रोज 5 मिनिटे,10 मिनिटे, 15 मिनि... | I feel that every Indian can do such a small thing to make a Great India (Shreshtha Bharat) that I will spare 5, 10, 15 minutes, half an hour, I will do something. | 3 | NIv2 | task1086_pib_translation_marathi_english | zs_opt | [
0.6608147621154785,
0.25070422887802124,
0.18535244464874268,
0.7603194713592529,
0.0814850702881813,
-0.9245031476020813,
0.2937309145927429,
0.5656048059463501,
-0.47724735736846924,
0.028977377340197563,
-0.5659520030021667,
-0.3454591631889343,
-0.7342796325683594,
-0.10589082539081573... |
You will be given a passage with an enumerated set of facts, a question of form 'Where is <person_name>?', and its answer. The task is to identify a supporting fact that is necessary to answer the question. The output would be the corresponding fact number.
Passage: Fact 1- Daniel journeyed to the office. Fact 2- Mary... | Fact 10 | 0 | NIv2 | task084_babi_t1_single_supporting_fact_identify_relevant_fact | zs_opt | [
0.02721196413040161,
0.6672923564910889,
-0.8161227107048035,
-0.650346040725708,
-1.0225844383239746,
-0.2697415351867676,
0.4390832185745239,
0.113833948969841,
0.25234735012054443,
0.07041151076555252,
-0.5478172898292542,
0.31385934352874756,
-0.5075811147689819,
0.1510084569454193,
... |
A text is given in English. Translate it from the English language to the Hindi language. The translation must not omit or add information to the original sentence.
Example Input: हमारे lie style guides हैं They not only cure but also heal।
Example Output: They not only cure but also heal.
Example Input: राष्ट्रपति ... | Ten persons continue to receive treatment in the burns ward of Bhilai Steel Plant Hospital and one person is admitted in the ICU in critical condition.
| 3 | NIv2 | task1024_pib_translation_hindi_english | fs_opt | [
-0.8278708457946777,
0.31451359391212463,
-0.016078682616353035,
0.3956434428691864,
0.2992267608642578,
-0.982610285282135,
0.21150699257850647,
0.5085729360580444,
-0.11292904615402222,
-0.15632915496826172,
-0.5424575209617615,
0.6356333494186401,
-0.019445104524493217,
0.04582013189792... |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Example Input: Premise: Edward C. R... | Contradiction
| 3 | NIv2 | task1385_anli_r1_entailment | fs_opt | [
0.33208024501800537,
0.330991268157959,
-0.5808557868003845,
0.5425069332122803,
0.5869088172912598,
-0.42783719301223755,
0.5700531005859375,
0.5912467837333679,
-0.19860468804836273,
-0.0024311209563165903,
-0.4949507415294647,
0.03476652503013611,
-0.05816737562417984,
-0.54488730430603... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
و در واقع ، چيزى كه ما مى بينيم اين نواحى قرمز رنگ اطراف نوار بيرونى مغز است در هر چه بيشتر و بيشتر آبى شدن پيشروى مى كنند تا اينكه كاملاً تاريك مى شود.
| E vediamo queste aree rosse verso l'esterno del cervello diventano progressivamente sempre più blu fino a spegnersi del tutto. | 5 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.5955660939216614,
0.7007889747619629,
-0.07566723227500916,
-0.5509946346282959,
-0.9316751956939697,
0.39373183250427246,
0.4501569867134094,
0.6221491098403931,
0.645906925201416,
-0.3199865221977234,
-1.378936529159546,
0.08548121154308319,
0.2534964382648468,
0.7269126176834106,
1... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
Q: （ 拍手 ） 世界的な規制が必要だと知っていたので
A: | (Applausi) Sapevo che avevamo bisogno di politiche globali. | 4 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.24929912388324738,
0.7732824087142944,
0.04114171117544174,
-0.0661337822675705,
-0.40596073865890503,
-0.622715413570404,
-0.6926831007003784,
0.23926950991153717,
0.44367024302482605,
-0.20397743582725525,
-1.0065176486968994,
-0.32299548387527466,
0.35384535789489746,
0.5186486840248... |
Detailed Instructions: Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
Problem:other than letter and punctuation keys, which computer key would you not want to type a report wit... | enter | 8 | NIv2 | task820_protoqa_answer_generation | zs_opt | [
-0.2131369709968567,
0.8458194136619568,
-0.4949341118335724,
-0.11525262147188187,
-0.18596205115318298,
0.05515942722558975,
0.3312339186668396,
0.5223404169082642,
0.738764762878418,
-0.5213468074798584,
0.8330703377723694,
0.13550256192684174,
-0.14644049108028412,
-0.235505148768425,
... |
In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: She was apparently grabbed by the hair by the gunman who then shot her and tw... | No
****
| 4 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.11763051152229309,
-0.03288190811872482,
0.14324381947517395,
0.4310218095779419,
-0.009931221604347229,
0.020394625142216682,
0.43098950386047363,
0.2100820243358612,
0.12636886537075043,
0.49000194668769836,
-0.17467665672302246,
0.43713927268981934,
-0.2716691493988037,
0.55470710992... |
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.
Q: 80457
A: | No | 4 | NIv2 | task092_check_prime_classification | zs_opt | [
-0.3478308916091919,
0.7252804636955261,
0.149889275431633,
-0.3187951147556305,
-0.2999039888381958,
-0.26910993456840515,
0.6569049954414368,
0.8036644458770752,
0.09003016352653503,
0.2639029920101166,
-0.8803863525390625,
-0.11531003564596176,
-0.39971327781677246,
-0.30743351578712463... |
Teacher: In this task if the pronoun is female or gender-neutral you are to replace it with a male pronoun. If there are no pronouns add a male-gendered word to the sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
She designed monumental Loviisa war cemetery in 1920.... | Cool, what work do you do, baby? I be its fun working from home, beautiful. | 2 | NIv2 | task1669_md_gender_bias_text_modification | fs_opt | [
-0.4185454547405243,
0.9942233562469482,
-0.6423562169075012,
-0.4336432218551636,
0.14011269807815552,
-0.599830150604248,
0.26555708050727844,
0.6743226051330566,
0.9468692541122437,
-0.09377990663051605,
-0.3876258134841919,
0.40945011377334595,
-0.5458115339279175,
-0.7605128288269043,... |
Detailed Instructions: Given a real-life anecdote of a complex ethical situation, generate a suitable title that describes the main event/root cause of the situation. Imagine that the given text is a social media post, and you have to write the title of the post, so the users can decide to read the main text or not.
Q:... | deciding to stop paying union dues | 9 | NIv2 | task500_scruples_anecdotes_title_generation | zs_opt | [
0.3143470287322998,
0.27125051617622375,
-0.3765644431114197,
-0.19302290678024292,
-0.059676580131053925,
-0.256186842918396,
0.18127578496932983,
1.0156983137130737,
0.3371897339820862,
0.3992563486099243,
0.45085686445236206,
-0.26703405380249023,
-0.4727610945701599,
0.2179607003927230... |
Detailed Instructions: Evaluate the similarity between them and classify them into classes from 0-5 as follows:
0 : The two sentences are completely dissimilar.
1 : The two sentences are not equivalent, but are on the same topic.
2 : The two sentences are not equivalent, but share some details.
3 : The two sentences ar... | 1 | 8 | NIv2 | task1347_glue_sts-b_similarity_classification | zs_opt | [
-0.5292795896530151,
0.2589811086654663,
0.22060316801071167,
0.01885320246219635,
0.468875527381897,
-0.9616473913192749,
0.7586125135421753,
0.9096939563751221,
0.42692381143569946,
0.1227903813123703,
-0.6751514673233032,
-0.8571658134460449,
-0.6238763332366943,
-0.10293177515268326,
... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: 'eyewitnesses are n't as reliable as we 'd like them to be . '
A: | `` eyewitnesses are n't as reliable as we 'd like . '' | 4 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.1867237687110901,
1.2765426635742188,
0.09896112978458405,
-0.4191741645336151,
0.054387785494327545,
-0.9333480000495911,
0.23485280573368073,
0.6335076093673706,
0.04876188933849335,
0.37559112906455994,
-0.007818257436156273,
0.25227248668670654,
-0.5060491561889648,
0.35276854038238... |
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