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 |
|---|---|---|---|---|---|---|
This task is about translating a given English language sentence to French.
Ex Input:
I want to create these oases of sculpture in spaces of cities around the world.
Ex Output:
Je veux créer ces oasis de sculpture dans des espaces urbains à travers le monde.
Ex Input:
And I always say the net there, because remembe... | Simay Tekinoğlu.
| 1 | NIv2 | task1689_qed_amara_translation | fs_opt | [
-0.37355250120162964,
0.609174370765686,
-0.19094586372375488,
0.5259131789207458,
-0.002743053250014782,
-0.45926976203918457,
0.08373795449733734,
0.5653572678565979,
0.26711782813072205,
0.41979649662971497,
-0.40094590187072754,
0.43599769473075867,
-0.28165581822395325,
-0.24619871377... |
You will be given a definition of a task first, then some input of the task.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Category: FAMOUS ... | anjou | 1 | NIv2 | task306_jeopardy_answer_generation_double | zs_opt | [
-0.8768459558486938,
1.1762291193008423,
-0.34006553888320923,
-0.2821604609489441,
0.02948342077434063,
0.09379232674837112,
0.41410011053085327,
0.21095158159732819,
0.1810317039489746,
-0.6970940828323364,
-0.3999391794204712,
0.2553914785385132,
-0.45030850172042847,
0.1023311167955398... |
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.
Example: Cont... | Solution: Who set the standards for ISO 3166-2:TD? | 5 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | fs_opt | [
0.7994329929351807,
-0.05831633135676384,
-0.6008254289627075,
-0.1948995292186737,
0.2222403883934021,
0.08046409487724304,
0.6959085464477539,
0.8043127059936523,
-0.9409501552581787,
0.035823140293359756,
-0.2606775164604187,
0.6142422556877136,
-0.9724587202072144,
0.42366400361061096,... |
Given a comment text in Tamil, classify the comment into one of these categories (i) Hope speech, if it contains encouraging, positive or supportive contents about equality, diversity or inclusion, (ii) Not Hope Speech or (iii) Not in Expected Language, if the text is not Tamil.
எனது புது வைரஸ் ஆஹ் ரைட் ட ரைட்டு இருந்... | Not Hope Speech | 0 | NIv2 | task680_hope_edi_tamil_text_classification | zs_opt | [
-0.19409920275211334,
0.21374180912971497,
0.463665634393692,
0.6814683675765991,
-0.43164095282554626,
-1.2637089490890503,
0.006619153544306755,
0.6622574925422668,
-0.12056583166122437,
0.307112455368042,
-0.27677029371261597,
0.49430328607559204,
-0.33327001333236694,
-0.20665290951728... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduc... | A man is working with a machine | 8 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | zs_opt | [
-0.0018768783193081617,
0.771294355392456,
-0.041769057512283325,
-0.7178364396095276,
-0.09627540409564972,
-0.25490429997444153,
0.2403354048728943,
0.5402166843414307,
0.5171137452125549,
0.017725665122270584,
-0.9397590160369873,
-0.8676428198814392,
-0.42931097745895386,
-0.1315255165... |
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: Xbox360は2005年にマイクロソフトによって市場に出され、そして、今年の1月に、同社は2007年6月末までの１年間の売上見込を1200万台に下方修正した。
Thai: สาเหตุ... | No | 4 | NIv2 | task1129_alt_ja_th_answer_generation | zs_opt | [
-0.6914543509483337,
-1.1423652172088623,
-0.36693888902664185,
0.07725627720355988,
0.13205108046531677,
-0.5503538846969604,
0.22423923015594482,
0.8318295478820801,
-0.11488112807273865,
-0.12571769952774048,
0.07780575752258301,
0.17921650409698486,
-0.10005778074264526,
0.083427071571... |
Part 1. Definition
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by two, if the element is odd you should multiply by three then add one. The output should be a list of integers that is the result of applying that logic to the input list.
Part... | [196, 238, 448, 430, 81, 88, 172] | 7 | NIv2 | task206_collatz_conjecture | fs_opt | [
-0.3488006293773651,
0.6846030354499817,
-0.3507845997810364,
-0.5760961771011353,
0.06703709065914154,
-0.3537381887435913,
1.059547781944275,
0.12338100373744965,
-0.004583938047289848,
0.09007684886455536,
-0.8020920753479004,
-0.2850024700164795,
-0.8587863445281982,
-0.205114424228668... |
TASK DEFINITION: In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every odd number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no odd numbers in an inn... | [10647, 11, 459, 9, -17, 819, 147, 1645, 931, -49815, 0, -141, 3]
| 8 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.15604819357395172,
0.17111386358737946,
-0.8674628734588623,
-0.31638428568840027,
0.04939817637205124,
0.052640400826931,
1.111473798751831,
0.6500881910324097,
-0.20574647188186646,
-0.11868905276060104,
-0.9100421667098999,
-0.17172932624816895,
-0.5481122136116028,
-0.173299968242645... |
Part 1. Definition
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.
Part 2. Example
Sentence: 'Harry glanced again at the raw looking thing that trembled and choked in the shadow beneath the distant cha... | blame | 7 | NIv2 | task676_ollie_relationship_answer_generation | fs_opt | [
-0.35336872935295105,
0.696336030960083,
0.3342300057411194,
-0.4434976875782013,
-0.9039058685302734,
-0.6927462816238403,
0.6375303864479065,
0.8206609487533569,
0.3365266025066376,
-0.253961443901062,
-0.6294978857040405,
-0.12574031949043274,
-0.03338877856731415,
0.10989929735660553,
... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. Your answer should be chosen from the given text, and should not contain other words.
--------
Question: Mike: Smo... | witch
| 7 | NIv2 | task401_numeric_fused_head_reference | fs_opt | [
0.205956369638443,
0.19218924641609192,
-0.3552321493625641,
-0.33535563945770264,
0.09999855607748032,
-0.9014244675636292,
0.7416328191757202,
0.387509822845459,
0.2665866017341614,
0.22912709414958954,
-0.5512905120849609,
0.35453158617019653,
-0.6336239576339722,
-0.016507547348737717,... |
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 will be given a list of numbers and you should remove all duplicates in the list. If every number is repeated in the list an empty list should be returned. Your list should be number... | [0, 2, 3] | 0 | NIv2 | task097_conala_remove_duplicates | fs_opt | [
-0.12200950086116791,
0.31043577194213867,
-0.07967494428157806,
0.022551707923412323,
0.4362182021141052,
-0.17201881110668182,
1.0461914539337158,
0.5449936389923096,
-0.29098230600357056,
0.4306846261024475,
-0.6571580171585083,
-0.7333070039749146,
0.05606997758150101,
0.00224061240442... |
Given the task definition and input, reply with output. In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
W: Why is it so hot these days? M: The weather re... | (B) The western Pacific. | 5 | NIv2 | task247_dream_answer_generation | zs_opt | [
0.22511211037635803,
0.09296716749668121,
-0.48566165566444397,
-0.3311564326286316,
0.1515180617570877,
-0.9217128157615662,
0.11943057924509048,
0.9559751152992249,
-0.11289958655834198,
0.05839245021343231,
-0.4501362442970276,
0.17873135209083557,
0.07307126373052597,
-0.40122044086456... |
Definition: You will be given a sentence that describes a restaurant. You will also be given a few categories of information regarding that sentence. Your task is to fill each of the categories with the appropriate information from the sentenece.
Input: Sentence: xname is the best restaurant because it is affordable an... | cuisine[Latin American], price[affordable], recommend[yes] | 2 | NIv2 | task1597_nyc_slot_filling | zs_opt | [
-0.6367652416229248,
0.17819802463054657,
-0.5186956524848938,
-0.2554805278778076,
-0.45524758100509644,
0.49425244331359863,
0.724632740020752,
0.23041953146457672,
0.02015731856226921,
-0.18214356899261475,
0.22156672179698944,
-0.27253827452659607,
-0.5953516960144043,
0.56839942932128... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Q: ולפאלו גם היתה יכולת מדהימה לחזות את מזג האוויר ימים מראש.
A: | اين روحانی دریانورد همچنين توانايي خارق العاده ای در پيش بيني شرايط آب و هواي روزهاي آينده دارد. | 4 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
-0.6238757371902466,
1.2226461172103882,
-0.08360397815704346,
0.7290586233139038,
-0.9524154663085938,
-0.04737034812569618,
0.811104416847229,
0.27626240253448486,
0.39682847261428833,
-0.3650488257408142,
-0.6472424268722534,
-0.4162258207798004,
-0.12896792590618134,
0.4816878139972687... |
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it, i.e., the proper nouns in the passage. Your job is to determine whether information from more than one term is needed to answer the question. Indicate your choice as `a` for Yes or... | b
| 6 | NIv2 | task232_iirc_link_number_classification | fs_opt | [
0.5518395900726318,
0.15561118721961975,
-0.8729804754257202,
0.12235084921121597,
-0.05843281000852585,
-0.8700100183486938,
0.5733007192611694,
0.8229314088821411,
-0.9351363778114319,
0.18815016746520996,
-0.3075488805770874,
0.2877097725868225,
-0.3623828887939453,
0.11315932869911194,... |
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 review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | negative | 0 | NIv2 | task284_imdb_classification | fs_opt | [
0.6719149947166443,
-0.2894630432128906,
-0.288248747587204,
0.1707630455493927,
1.1505539417266846,
-0.45592790842056274,
1.0801798105239868,
1.0142757892608643,
-0.121151402592659,
0.14772365987300873,
-0.390900194644928,
0.19764244556427002,
-0.6627312898635864,
-0.015894640237092972,
... |
Detailed Instructions: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
See one example below:
Problem: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Solution: He who created pairs of everything, and fa... | We created them and fixed their bones and joints; and We could replace them when We like with others like them. | 4 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.24781093001365662,
0.40004873275756836,
-0.5044610500335693,
-0.18712230026721954,
-0.09619201719760895,
-0.23691904544830322,
0.9860314726829529,
0.5910649299621582,
-0.07211579382419586,
0.08111163973808289,
-0.7999571561813354,
1.1113617420196533,
-0.6775156259536743,
0.3841303586959... |
TASK DEFINITION: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then rever... | 158453693279fn7793i10359945HLf
| 8 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
0.4726848006248474,
-0.1095428615808487,
-0.5942637920379639,
-0.28745418787002563,
-0.2191111445426941,
0.11685225367546082,
0.948732852935791,
0.4394568204879761,
-0.39092060923576355,
-0.08486250787973404,
-0.7969563603401184,
0.13878042995929718,
-0.19270019233226776,
-0.03790343552827... |
Given a document, 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].
One example: Verify if the sentiment of the following document towards the entity Bill Clinton is Positive . ... | no | 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
0.09363805502653122,
0.5101792812347412,
0.01404192578047514,
-0.08043023198843002,
0.7503412365913391,
-0.6039299964904785,
0.5371018648147583,
0.8124313354492188,
-0.5591727495193481,
0.11226546764373779,
0.05428024381399155,
1.0814632177352905,
-0.05615300312638283,
-0.16569194197654724... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Let me give you an example: Egypt (similar results in Jordan)
The answer to this example can be: مصر (با نتایجی مشابه در اردن)
Here is why: This is a good example. The above sentence is correctly translated from English t... | «من از جوانان کشورم نمیخواهم که صبر پیشه کنند، من از اعتراضات مسالمتآمیز آنها حمایت میکنم» | 8 | NIv2 | task663_global_voices_en_fa_translation | fs_opt | [
-0.29476097226142883,
0.6286510229110718,
-0.485640287399292,
-1.2741053104400635,
-1.1708347797393799,
-0.49226391315460205,
1.1516318321228027,
0.16017115116119385,
0.3020937740802765,
-0.25976574420928955,
-0.6390476226806641,
1.014930009841919,
-1.1982313394546509,
-0.07198983430862427... |
Detailed Instructions: 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. (... | sadness | 8 | NIv2 | task1662_cedr_ru_classification | zs_opt | [
-0.7705446481704712,
-0.3342333436012268,
0.27848580479621887,
-0.18911224603652954,
-0.521271824836731,
-0.3370339274406433,
0.23717746138572693,
1.1817631721496582,
-0.20293669402599335,
-0.1505049169063568,
-0.49335163831710815,
-0.3940744400024414,
0.07515594363212585,
0.24291695654392... |
Given a scientific question, generate a correct answer to it.
Q: Name the process of removing wastes from the body.
A: | excretion | 4 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.5812011957168579,
1.1416335105895996,
-0.6752374768257141,
0.03357965499162674,
-0.5068610906600952,
-0.4594076871871948,
-0.5883629322052002,
0.428888738155365,
-0.09418071806430817,
-0.18297602236270905,
0.1537245810031891,
-0.12566488981246948,
-0.19950087368488312,
0.6275516748428345... |
Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Q: W tej chwili na mojej stronie są 46 tysiące zdjęć, a FBI widziało je wszystkie, a przynajmniej tak sądzę.
A: | Ahora mismo tengo 46 000 imágenes en mi página y el FBI las ha examinado todas, al menos confío que las hayan visto. | 9 | NIv2 | task1258_ted_translation_pl_es | zs_opt | [
-0.47530004382133484,
-0.3098793625831604,
-0.22922110557556152,
-0.5789665579795837,
-0.632715106010437,
-0.3669397830963135,
0.2683778703212738,
0.03897135332226753,
0.21163128316402435,
-0.35063761472702026,
0.35944217443466187,
0.3426763415336609,
-0.17731010913848877,
0.69588017463684... |
Detailed Instructions: This task is about translating a given English language sentence to French.
Problem:They discovered that adult cells, taken from you and me, could be reprogrammed back into embryonic-like cells, which they termed IPS cells, or induced pluripotent stem cells.
Solution: | Ils ont découvert que les cellules adultes, prélevées sur vous et moi, pouvaient être reprogrammées en cellules similaires à des cellules embryonnaires, qu'ils ont appelé les cellules IPS, ou cellules souches pluripotentes induites. | 8 | NIv2 | task1689_qed_amara_translation | zs_opt | [
0.6044703125953674,
0.5689411163330078,
-0.2509775161743164,
0.06513909995555878,
-0.3604373335838318,
-0.7420480847358704,
0.6938024759292603,
0.43977266550064087,
0.894524335861206,
0.3250868320465088,
-0.8868101835250854,
0.43651139736175537,
-0.6791709661483765,
0.24103787541389465,
... |
Detailed Instructions: Given a pair of words, generate the relation between them. The first word is called the 'concept' and the second word is called the 'relatum' The relation must be one of the following: co-hyponym (coordinate), hypernym, meronym, attribute, event, or random. A coordinate relation indicates that th... | hyper | 9 | NIv2 | task1418_bless_semantic_relation_classification | zs_opt | [
0.06900866329669952,
0.32625073194503784,
0.12362251430749893,
0.12963317334651947,
-0.4877035319805145,
-0.16659477353096008,
0.0017369618872180581,
0.49787190556526184,
0.2483905702829361,
-0.6176841259002686,
-0.2959229052066803,
0.3106389045715332,
-0.49673226475715637,
0.3811532258987... |
This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer ... | date
| 0 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.6871587038040161,
0.23824098706245422,
-0.6588430404663086,
-0.1214590072631836,
0.13600748777389526,
0.13878972828388214,
0.866012692451477,
0.24375775456428528,
-0.10385947674512863,
-0.09376924484968185,
-0.4677391052246094,
0.5070224404335022,
-0.7226784825325012,
0.08155287057161331... |
Q: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Ang dalawang nabanggit na pagsulong ng pamahalaan ng Iraq ay ang pagtatrabaho patungo sa nakatakdang huling araw na ika-15 ng Agosto para sa pa... | ２人は、新憲法の草稿作成の期限である８月１５日に向けてのイラク政府の進展を参照した。 | 7 | NIv2 | task1119_alt_fil_ja_translation | zs_opt | [
-0.35198861360549927,
0.31252893805503845,
-0.34351909160614014,
-0.2744385600090027,
-0.5159308910369873,
-0.5353155732154846,
1.309606671333313,
0.7727385759353638,
-0.1395329236984253,
-0.10079196840524673,
-0.3774258494377136,
0.15241505205631256,
-1.1667253971099854,
0.686337709426879... |
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 output should have the format: word1 relation word2.
Input: ... | Output: animal HasA baby
| 2 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.31426554918289185,
1.029301643371582,
0.4581952691078186,
0.05564582720398903,
-0.44596993923187256,
-0.4284661114215851,
0.26264244318008423,
0.7834651470184326,
0.2952154278755188,
-0.0011603488819673657,
-0.46746939420700073,
0.42579612135887146,
-1.1584885120391846,
0.178283050656318... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Q: And we do this in many ways. We work with many different hospitals.
A: | Lo facciamo in molti modi. Lavoriamo in molti ospedali differenti. | 4 | NIv2 | task1091_ted_translation_en_it | zs_opt | [
0.00928971916437149,
1.0936107635498047,
0.11319540441036224,
-0.05976080894470215,
-0.06894342601299286,
-0.9655513167381287,
-0.35270023345947266,
0.4336313009262085,
-0.05055227130651474,
-0.1709749847650528,
0.3899855613708496,
1.002382516860962,
-0.09702178835868835,
0.363649100065231... |
Detailed Instructions: You are given a paragraph, a question and some answer options (associated with "A", "B", "C", "D", etc.) You need to list all the correct answer options with their associated letters (e.g. "A" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and ... | A, B, C, E. | 9 | NIv2 | task058_multirc_question_answering | zs_opt | [
0.36703023314476013,
0.6913232803344727,
-1.0896861553192139,
0.30546507239341736,
0.44869038462638855,
-1.074952483177185,
0.4167231023311615,
1.2186431884765625,
-0.02920546382665634,
0.5043644905090332,
-0.04144957661628723,
0.5804661512374878,
-0.1312389075756073,
-0.19863083958625793,... |
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 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 ... | The lawyers supported the author . | 0 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.2705138325691223,
0.43903565406799316,
0.061072926968336105,
-0.15636107325553894,
0.1883610188961029,
-0.1767183393239975,
0.7197413444519043,
0.371090829372406,
0.8426269888877869,
-0.6511685848236084,
-0.9570356011390686,
-0.5363867878913879,
0.1439586579799652,
0.0866290032863617,
... |
In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supplies, baby p... | other
| 6 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
0.2148142158985138,
-0.4838261306285858,
-0.9746353626251221,
-0.12080942839384079,
0.33141061663627625,
0.17846673727035522,
-0.0479993000626564,
0.6402403116226196,
-0.39532965421676636,
0.4939296841621399,
0.05363219603896141,
0.4034693241119385,
-0.28007739782333374,
-0.670316219329834... |
You are given a statement written in Bengali. 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: Statement: ১লা ফেব্রুয়ারী <MASK> ভ্রমণ প্রদর্শক হিসেবে কর্মরত একজন চীনের নাগরিককে দেশে দ্বাদশ করোনার রু... | Solution: বগুড়ায় | 5 | NIv2 | task945_wiki_cloze_bn_multiple_choice_question_answering | fs_opt | [
-0.1684151589870453,
0.6571621894836426,
-0.17906232178211212,
0.1577703058719635,
-0.08167104423046112,
-0.5794965028762817,
0.16424718499183655,
0.9415565133094788,
0.35582709312438965,
-0.3419489860534668,
-0.32350581884384155,
0.8380421996116638,
-0.5565252304077148,
-0.107801392674446... |
Given the task definition and input, reply with output. 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.
Context: Neocortical atrophy reduces PET signal intensity, potentially affecting the diagno... | The influence of PVEC on (18)F-florbetaben PET data is associated with the degree of brain atrophy. Thus, PVEC increases the ability of (18)F-florbetaben PET to discriminate between AD patients and HCs, to detect Aβ plaques in the atrophic mesial temporal cortex, and potentially to evaluate changes in brain Aβ load ove... | 5 | NIv2 | task849_pubmedqa_answer_generation | zs_opt | [
0.05212031304836273,
0.1114429384469986,
-0.29535114765167236,
-0.07782246172428131,
0.29905200004577637,
-0.49849623441696167,
0.7809733748435974,
0.9678802490234375,
0.6553977131843567,
-0.10975481569766998,
-0.004854574799537659,
0.3174659013748169,
-0.13217541575431824,
0.2517022490501... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Ex Input:
La pandemia circuló tres veces en 18 meses en ausencia de viajes aéreos comerciales.
Ex Output:
Pandemia miała 3 nawroty w ciągu 18 miesięcy, a nie było wtedy komercyjnych lotów.
Ex Input:
Y mi respuesta siempr... | MT: Roboty nie potrafią przewidywać ludzkich zachowań.
| 1 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
-1.0849436521530151,
0.6000202894210815,
-0.2482897788286209,
-0.22972969710826874,
-0.3982819616794586,
-0.4902276396751404,
0.4325776696205139,
0.19642481207847595,
-0.3470928966999054,
-0.11337321251630783,
-0.5300753712654114,
0.8937814235687256,
0.018934810534119606,
-0.37852549552917... |
Detailed Instructions: In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the... | 51 | 4 | NIv2 | task218_rocstories_swap_order_answer_generation | fs_opt | [
0.20373088121414185,
0.016307910904288292,
-0.45788779854774475,
0.10272996127605438,
-0.10694453865289688,
-0.4100053310394287,
0.11019635945558548,
0.7683248519897461,
-0.3840237855911255,
0.357452929019928,
-0.8222678899765015,
-0.012486536055803299,
-0.8195242881774902,
0.2031599879264... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Example input: وقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.
Example output: و آنگاه آنها کُد می نوشتند ، معمولا ... | و اینها رویاهای ما هستند. | 3 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
-0.6579486131668091,
0.8227108716964722,
-0.20018750429153442,
-0.9941060543060303,
-0.04638896882534027,
-0.07293920964002609,
1.034900188446045,
-0.016627322882413864,
0.08846570551395416,
-0.4588167071342468,
-1.049504280090332,
0.3927984833717346,
-0.28158581256866455,
0.26352226734161... |
Instructions: In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an adjunct island or as an incorrect representation. A correct representation should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an ad... | good | 3 | NIv2 | task1559_blimp_binary_classification | zs_opt | [
-0.5031172037124634,
0.9321080446243286,
0.579778790473938,
-1.4829001426696777,
-0.38498401641845703,
-1.6017754077911377,
0.7838984727859497,
-0.19412869215011597,
0.6649514436721802,
-0.3977237939834595,
0.19000943005084991,
-0.48300760984420776,
-0.9466872215270996,
0.08030583709478378... |
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 introduced. Avoid using pronouns to confuse the subject of the... | A quiet library scene | 3 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | fs_opt | [
-0.4702076315879822,
0.7221195101737976,
0.3277062773704529,
-0.39981579780578613,
0.26331910490989685,
-0.18422222137451172,
-0.4573649764060974,
0.6144982576370239,
0.5922123789787292,
0.08391960710287094,
-0.42547938227653503,
-0.5497690439224243,
-1.2424083948135376,
-0.548504590988159... |
Teacher:In this task, You are given a review of Amazon's food products. Your task is to divide them into two classes: negative or positive, depending on the content of the review.
Teacher: Now, understand the problem? Solve this instance: I am very pleased with this purchase. I bought it because I have a bamboo type a ... | positive | 6 | NIv2 | task1312_amazonreview_polarity_classification | zs_opt | [
-0.3005126118659973,
-0.703997015953064,
0.28747785091400146,
-0.4978383183479309,
0.11470864713191986,
-0.26894012093544006,
0.74189293384552,
0.07554648071527481,
-0.06568948924541473,
0.604577898979187,
0.030206700786948204,
-0.36810097098350525,
-0.7802836298942566,
-0.0737998709082603... |
Q: You are given a concatenated string consisting of two parts that are separated by a newline character. The first part is the user's initial question during a human computer conversation, the second part is a clarifying question asked by the computer in response to the question asked by the user. You should read the ... | i am looking for maps of afghanistan | 7 | NIv2 | task1714_convai3_sentence_generation | zs_opt | [
0.136163130402565,
0.3710823059082031,
-0.36881276965141296,
-0.4361489713191986,
0.07574348896741867,
-0.29013121128082275,
1.012908935546875,
0.30937668681144714,
0.5196422338485718,
0.5353295207023621,
-0.320060670375824,
-0.28979775309562683,
-0.8536742329597473,
0.6070976257324219,
... |
Definition: You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.
Input: how popular is The Proposition?
Output: | well known | 2 | NIv2 | task615_moviesqa_answer_generation | zs_opt | [
-0.009147126227617264,
0.23006689548492432,
-0.578545331954956,
0.43805554509162903,
-0.19906464219093323,
0.0045476751402020454,
0.799304723739624,
-0.25120604038238525,
0.8323112726211548,
-0.07830552011728287,
-0.799802839756012,
-0.2597930133342743,
-0.2733626961708069,
-0.030757710337... |
Definition: The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Portuguese Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Portu... | Estas palavras foram seguidas de um longo silêncio, quebrado apenas por uma exclamação ocasional de "Hjckrrh!" do Grifo, e o pesado e constante gemido da Tartaruga Falsa. | 2 | NIv2 | task1647_opus_books_en-pt_translation | zs_opt | [
-0.6184282302856445,
0.20049747824668884,
-0.0326736718416214,
-0.3018496036529541,
-0.3218768835067749,
-0.6724890470504761,
0.6188597679138184,
-0.24764356017112732,
0.07532969862222672,
-0.5785608291625977,
-0.30557265877723694,
0.14770150184631348,
-1.1332287788391113,
-0.0129651594907... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Q: Ya no debía tener una conexión con ese pequeño círculo de expertos para lograr un diagnóstico para su hijo.
A: | دیگر کسی مجبور نبود برای سنجش فرزندش به آن محفل کوچک متخصصان دسترسی داشته باشد. | 9 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
-0.2256343960762024,
0.7658609747886658,
-0.3100462257862091,
-0.8324599862098694,
-0.44203218817710876,
0.015616090968251228,
0.6672474145889282,
0.9461297988891602,
0.5896761417388916,
-0.17103499174118042,
-0.34312108159065247,
0.9394512176513672,
-0.49581626057624817,
0.425717025995254... |
Detailed Instructions: The input is a conversation between an automated system and a user looking for suggestions for pubs, restaurants and coffee shops in Cambridge. In the dialogue, the user may provide some criteria for the type of place they want such as price range, cuisine, etc. Similarly, the user may ask detail... | You want to find an expensive restaurant and it should be in the Addenbrookes area. Make sure you get the address and phone number. | 9 | NIv2 | task1499_dstc3_summarization | zs_opt | [
0.408427894115448,
0.21003682911396027,
-0.23196455836296082,
-0.22171147167682648,
0.23968914151191711,
-0.4148455560207367,
0.5832662582397461,
0.6904851198196411,
-0.24062968790531158,
0.18038567900657654,
0.5797467231750488,
0.28539109230041504,
-0.5571177005767822,
0.11602993309497833... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
[Q]: ok so weve just left holming beam, walking toward south hessary, tasteless goo for breakfast, yum
[A]: positive
[Q]: is rewriting an About Me for MySp... | positive
| 5 | NIv2 | task195_sentiment140_classification | fs_opt | [
-1.615539312362671,
0.6619354486465454,
0.9939398765563965,
0.1601458042860031,
0.287943959236145,
-1.3052195310592651,
-0.22824054956436157,
0.16248953342437744,
0.29147469997406006,
0.4052855372428894,
-0.36355262994766235,
-0.3256518244743347,
-0.14569690823554993,
-0.9441519975662231,
... |
TASK DEFINITION: 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.
PROBLEM: Context: @hankscn... | no
| 8 | NIv2 | task242_tweetqa_classification | fs_opt | [
0.129390686750412,
0.06283815205097198,
-0.3754522204399109,
-0.1981460154056549,
0.7025982141494751,
-0.34545955061912537,
0.7839710116386414,
0.4751785695552826,
-0.008315155282616615,
0.5218565464019775,
-0.7002759575843811,
-0.024092363193631172,
-0.3325079083442688,
0.3737226128578186... |
Detailed Instructions: Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expa... | yes | 9 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
-0.13489320874214172,
0.8661902546882629,
0.5240029096603394,
-0.1360488384962082,
0.390375554561615,
-0.6433494687080383,
0.09918884932994843,
0.6764191389083862,
0.148794025182724,
-0.06220114603638649,
-0.6075072288513184,
-0.25578218698501587,
-0.8421375751495361,
0.19886645674705505,
... |
You will be given a definition of a task first, then some input of the task.
Given a scientific passage and an answer, generate a question for the given answer.
Passage: The entropy change is positive as the solid state changes into the liquid state. If the transition went from the liquid to the solid state, the numer... | The entropy change is positive as the solid state changes into which state? | 1 | NIv2 | task594_sciq_question_generation | zs_opt | [
-0.27300143241882324,
1.1060376167297363,
0.08033864200115204,
-0.8169928193092346,
0.5992331504821777,
-0.7798464894294739,
-0.11416280269622803,
0.6941260695457458,
0.5030698776245117,
-0.27160894870758057,
0.03323882818222046,
-0.5750939249992371,
-0.4202526807785034,
-0.886292994022369... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Understanding the environmental drivers of z... | Toward a Mechanistic Understanding of Environmentally Forced Zoonotic Disease Emergence: Sin Nombre Hantavirus | 1 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.0813012346625328,
-0.12333576381206512,
-0.056153587996959686,
-0.11816252768039703,
-0.645655632019043,
-0.26709192991256714,
0.16606569290161133,
0.8589222431182861,
-0.41530537605285645,
0.2819178104400635,
-0.11236591637134552,
-0.018969394266605377,
-0.7896143198013306,
0.0722222626... |
Given the task definition and input, reply with output. The given sentence contains a typo which could be one of the following four types: (1) swapped letters of a word e.g. 'niec' is a typo of the word 'nice'. (2) missing letter in a word e.g. 'nic' is a typo of the word 'nice'. (3) extra letter in a word e.g. 'nicce'... | lasy | 5 | NIv2 | task088_identify_typo_verification | zs_opt | [
-0.9460029602050781,
0.39992138743400574,
0.22952866554260254,
0.7989495992660522,
0.7530026435852051,
-0.6632693409919739,
0.8985168933868408,
0.16498807072639465,
0.22356247901916504,
0.09384062141180038,
-0.15054917335510254,
-0.110369473695755,
-0.6906301975250244,
-0.35232192277908325... |
Given the task definition, example input & output, solve the new input case.
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.
Example: Title: Marcus Buys Khakis. Se... | My boss ended up placing me at the burger station instead. | 1 | NIv2 | task216_rocstories_correct_answer_generation | fs_opt | [
-0.4558376669883728,
0.5311972498893738,
-0.21376845240592957,
0.22412335872650146,
0.21988075971603394,
0.7106606960296631,
0.23835714161396027,
0.7481019496917725,
0.2782905399799347,
0.1899660974740982,
-0.5742403268814087,
-0.5645711421966553,
0.07855736464262009,
0.3018065094947815,
... |
In this task, you are given a text from tweets. Your task is to classify given tweet text into two categories: 1) positive, and 2) negative based on its content.
says work again tomorrow [Link] | negative | 0 | NIv2 | task195_sentiment140_classification | zs_opt | [
-1.6157556772232056,
0.3748730421066284,
1.0236363410949707,
0.5852535963058472,
0.1983313262462616,
-0.5580843687057495,
-0.3970339596271515,
0.6605956554412842,
0.12066338956356049,
0.8303192257881165,
-0.6784740686416626,
-0.6053256988525391,
0.23187626898288727,
-0.5134528875350952,
... |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [-747, -969] | 9 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.635302722454071,
0.08875764161348343,
-0.01663362979888916,
-0.5814148783683777,
-0.4938741624355316,
0.009805621579289436,
0.9638431072235107,
-0.07507327198982239,
-0.6419630646705627,
0.2335502803325653,
-0.5956979990005493,
0.26873329281806946,
0.00990856159478426,
-0.13863058388233... |
Instructions: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Which American president gave the order to withdraw from the Vietnam War?
Output: | vietnam war | 3 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.733217716217041,
0.08830574154853821,
-0.31852132081985474,
0.07931653410196304,
-0.8276951909065247,
-1.0334935188293457,
0.1350599229335785,
0.4135536551475525,
0.3832269310951233,
0.10898067057132721,
-0.764266312122345,
0.15762484073638916,
-0.1916051059961319,
0.08275225758552551,
... |
In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that does not connect with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pick the one that m... | b | 6 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.1301320195198059,
0.14490070939064026,
-0.13845445215702057,
-0.16795219480991364,
0.4100727438926697,
-0.3346731662750244,
0.5797762274742126,
0.9129173159599304,
-0.23395945131778717,
0.27512770891189575,
-0.6538652777671814,
-0.1767960786819458,
-0.3419892191886902,
-0.040056705474853... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
L'aereoporto di Atlanta è un aereoporto moderno, e dovrebbero lasciare il gate lì.
| مطار اتلانطا, هو مطار حديث يتوجب عليهم مغادرة البوابة هنالك | 5 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.042158182710409164,
0.5319835543632507,
0.07122369855642319,
-0.4427019953727722,
-0.09809620678424835,
-0.2144104242324829,
0.04404802992939949,
0.12956242263317108,
0.42313557863235474,
-0.003514883341267705,
-0.061634741723537445,
0.402787983417511,
-0.629507839679718,
0.353475213050... |
Teacher:In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Teacher: Now, understand the problem? Solve this instance: passage: The blue mud dauber (Chalybion californicum) is a metallic blue species of mud dauber wa... | Yes | 6 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
0.226896271109581,
0.6500086784362793,
-1.022247552871704,
-0.6490519046783447,
-0.0015573098789900541,
-0.20302149653434753,
0.7731266021728516,
0.7392257452011108,
0.01432179193943739,
0.4683716297149658,
0.013272559270262718,
-0.08871974050998688,
-0.5278658270835876,
-0.390561163425445... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.
Entonces ella es el sujeto perfecto para la prueba.
Output: | إذن هي الحالة المناسبة للدراسة والإختبار. | 1 | NIv2 | task1228_ted_translation_es_ar | zs_opt | [
-0.3914415240287781,
0.8260578513145447,
-0.002545678522437811,
-0.4354744553565979,
-0.012352284044027328,
0.5424059629440308,
0.5907381772994995,
0.4811803102493286,
0.3448030352592468,
0.13921594619750977,
-0.6167713403701782,
-0.05714677646756172,
-0.43716245889663696,
-0.0056358608417... |
Detailed Instructions: You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movi... | Who is Marian's cousin? | 8 | NIv2 | task405_narrativeqa_question_generation | zs_opt | [
0.925862193107605,
0.7698965668678284,
-0.15566223859786987,
-0.4675180912017822,
0.4783414602279663,
0.028346123173832893,
0.6870658993721008,
0.7414435744285583,
-0.15957681834697723,
0.2635383605957031,
-0.08236382156610489,
0.7536954879760742,
-0.572440505027771,
0.12809400260448456,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Ex Input:
Ale prawdę mówiąc, było to czasochłonne, a miałem jeszcze inne rzeczy na głowie, choć trudno w to uwierzyć.
Ex Output:
لكن لأكون صريحا يارفاق ، كانت تحتاج جهدا مكثفا وكان لدي أمور أخرى أقوم بها صدق أو لاتصدق.
Ex ... | هذا موسم النعمة
| 1 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.3830181062221527,
0.2983996272087097,
-0.11321315169334412,
0.07282771170139313,
-0.5951655507087708,
0.46602511405944824,
0.7214409708976746,
1.000114917755127,
0.42587852478027344,
-0.348799467086792,
-0.2035604566335678,
0.16920755803585052,
-0.5263594388961792,
0.05696699023246765,
... |
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 two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers ins... | No | 0 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.8832716941833496,
-0.3301435708999634,
-0.44834640622138977,
0.596367359161377,
-0.027194593101739883,
-0.5699504017829895,
0.95551598072052,
0.5521389842033386,
-0.49681395292282104,
0.15419501066207886,
-0.42109760642051697,
-0.14668744802474976,
0.0919235348701477,
-0.1997125893831253... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
Example input: Aquí esta la medusa ala-x de la muerte.
Example output: Qui c'è la medusa mortale con le ali ad X.
Example explanation: The Spanish sentence is correctly translated into Italian, because the meaning is prese... | Mezzo miliardo di persone vivono nelle megalopoli. | 3 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.3579053580760956,
0.5197688341140747,
-0.6502110958099365,
0.11473656445741653,
-0.7331517934799194,
-0.4384584426879883,
0.3354668915271759,
1.1110074520111084,
-0.056166842579841614,
-0.35462629795074463,
-0.35921764373779297,
0.35237714648246765,
-0.34260469675064087,
0.9544098377227... |
Detailed Instructions: Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: テレビジャーナリストのアーメッド・アル・ムラー氏は、交通警察がサレー氏の車が道路から外れて衝突するのを見ていたが、銃声は聞いていなかったと言った。
La... | Yes | 9 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-0.5104690194129944,
-0.18719175457954407,
0.4238561987876892,
0.55214923620224,
0.17843112349510193,
-0.4150492548942566,
0.6218543648719788,
0.9064520001411438,
-0.1590423583984375,
-0.5417314171791077,
-0.5568416118621826,
0.15720635652542114,
-0.7746608257293701,
0.22345924377441406,
... |
Q: 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 said late wednesday it sent the text of a landmark us-india civilian nuclear agreement to congress for ... | no | 7 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.7477771639823914,
0.6332647204399109,
0.38713347911834717,
0.29558026790618896,
0.22060047090053558,
-0.7039615511894226,
0.8385459184646606,
0.2634058892726898,
-0.11727654933929443,
0.16679534316062927,
0.28601911664009094,
0.07679803669452667,
-0.15369868278503418,
0.0933662429451942... |
Detailed Instructions: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use ph... | We think Gary wet himself >Causes> Gary feel(s) embarrassment | 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | zs_opt | [
-0.641882061958313,
0.9298669695854187,
0.2667228579521179,
-0.2973296046257019,
0.10875939577817917,
-1.4984595775604248,
0.2871703505516052,
0.9726475477218628,
-0.18822678923606873,
0.16727401316165924,
-0.6156330704689026,
0.42970913648605347,
-0.6316076517105103,
-0.018973365426063538... |
Definition: In this task, you're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product, watch, wireless, other, toy, digital video download, camera, jewelry, pet products, sports, industrial supp... | baby product | 2 | NIv2 | task617_amazonreview_category_text_generation | zs_opt | [
-0.12795886397361755,
-0.29441210627555847,
-0.480761855840683,
-0.08915446698665619,
0.459680438041687,
-0.08753427863121033,
0.2783265709877014,
0.72653728723526,
-0.5501732230186462,
0.6438217163085938,
0.07543134689331055,
0.12953004240989685,
-0.15531939268112183,
-0.6285836696624756,... |
Q: Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's b... | green_drawer | 7 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.4952893853187561,
0.016756951808929443,
-0.5429858565330505,
-0.30940625071525574,
-0.4833773672580719,
-0.5565091371536255,
0.267072856426239,
0.8227568864822388,
0.7042242288589478,
-0.4092806875705719,
0.06233515217900276,
0.14599546790122986,
-0.5263863205909729,
0.544319212436676,
... |
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 neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse ... | The suit is blue. | 0 | NIv2 | task184_snli_entailment_to_neutral_text_modification | zs_opt | [
0.13382652401924133,
0.813951313495636,
0.2029230147600174,
-0.1183570846915245,
0.13600781559944153,
-0.9183433055877686,
-0.1472286880016327,
0.7124490737915039,
0.13852857053279877,
-0.4902557134628296,
-1.2856639623641968,
-0.28030911087989807,
-0.9022272825241089,
-0.15309734642505646... |
Detailed Instructions: Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the i... | So he wrote a goodbye message on the family's white board and ran away. | 9 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.6643433570861816,
0.27991724014282227,
-0.2440350353717804,
-0.16697388887405396,
0.0495130717754364,
-1.1958818435668945,
0.21466663479804993,
1.0554111003875732,
0.11262054741382599,
-0.4664005637168884,
-0.3000253140926361,
-0.0844571590423584,
-0.3111734688282013,
-0.2687103450298309... |
Given a prompt and four completions, select the completion that is the most plausible in continuing or answering the prompt. This task is designed to test common sense and has various categories ranging between idioms, negated statements, polysemy, subject referencing, and quantitative reasoning. Generate either Comple... | Completion D | 6 | NIv2 | task156_codah_classification_adversarial | fs_opt | [
-0.03502671793103218,
0.5672900676727295,
-0.02679852396249771,
-0.6035177111625671,
0.0836598202586174,
-0.17686884105205536,
0.25002777576446533,
0.9836840033531189,
-0.4081365168094635,
-0.051567986607551575,
-0.30887019634246826,
0.059742800891399384,
-0.2531513273715973,
-0.4120602905... |
A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: ਇਹ ਉਹ ਸੱਚ ਹੈ ਜੋ ਬੰਗਾਲ ਦੇ ਲੋਕਾਂ ਨੂੰ ਚਿੰਤਨ ਮਨਨ ਦੇ ਉਸ ਪੱਧਰ 'ਤੇ ਲੈ ਜਾਂਦਾ ਹੈ ਜਿੱਥੇ ਪਹੁੰਚਣਾ ਮੁਸ਼ਕਿਲ ਹੁੰਦਾ ਹੈ। ਇਹ ਉਹ ਸੱਚ ਹੈ ਜਿਸ ਕਾਰਨ ਬ... | میں آج اپنے تونگر وزیراعلیٰ جناب یوگی آدتیہ ناتھ جی کا دل سے خیرمقدم کرنا چاہتا ہوں۔ بہت عمدہ طریقے سے ملک کو آگے بڑھا رہے ہیں۔ سبھی سمتوں میں ترقی کے راستے پر آگے بڑھ رہے ہیں۔ اچھی حکمرانی پر زور دے رہے ہیں۔ لیکن ان کے کپڑے دیکھ کر یہ بھرم پھیلایا جاتا ہے کہ وہ جدید سوچ کے ہوہی نہیں سکتے۔ یہ پران کو ماننے والے ہوں گے،... | 8 | NIv2 | task1051_pib_translation_punjabi_urdu | fs_opt | [
-0.2941332757472992,
0.9310402274131775,
0.11872108280658722,
-0.684185266494751,
-0.2670527398586273,
-0.9617449045181274,
1.35329008102417,
0.1442611813545227,
-0.028572969138622284,
0.10466107726097107,
-0.7051233649253845,
0.3652687966823578,
-0.18648457527160645,
0.4649485945701599,
... |
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). PersonX is always the subject of the event. You have to... | No
| 1 | NIv2 | task1197_atomic_classification_oreact | fs_opt | [
0.06533907353878021,
-0.30357494950294495,
0.29637426137924194,
0.3543766736984253,
-0.10547742992639542,
-1.085699200630188,
0.6279507279396057,
0.7460543513298035,
-0.7613850831985474,
-0.27187150716781616,
-0.44099172949790955,
0.049098096787929535,
-0.8175522089004517,
0.04281955212354... |
In this task you will be given a claim and a perspective. You should determine whether that perspective supports or undermines the claim. If the perspective could possibly convince someone with different view, it is supporting, otherwise it is undermining.
claim: Homework is a waste of time.
perspective: homework is ... | undermine | 0 | NIv2 | task738_perspectrum_classification | zs_opt | [
-0.20696595311164856,
1.0351446866989136,
0.4408985376358032,
-0.25032785534858704,
-0.03135914355516434,
-0.3351415693759918,
1.3546069860458374,
0.843419075012207,
0.3330615758895874,
0.21539905667304993,
-0.6025340557098389,
-0.3310880959033966,
-0.3450539708137512,
-0.03789617121219635... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
passage: If ``infield fly'' is called and the fly ball is caught, it is treated exactly as an ordinary caught fly ball; the batter is out, there is no force, and t... | Yes | 0 | NIv2 | task380_boolq_yes_no_question | zs_opt | [
-0.5113784074783325,
1.1280395984649658,
-0.6492879390716553,
0.3660770654678345,
-0.0491190180182457,
-0.3550065755844116,
0.33699560165405273,
0.8384961485862732,
-0.27188169956207275,
-0.26456230878829956,
-0.8664620518684387,
0.6789917945861816,
-0.49612200260162354,
0.0618158765137195... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Ex Input:
['8017', 'h', '8329', '3347', '2193', 'n', 'r', '8025', '9341', '8... | 1
| 1 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
-0.3040900230407715,
0.3933173418045044,
0.22711604833602905,
-0.25912514328956604,
0.13715457916259766,
-0.3512272238731384,
0.18142560124397278,
-0.3781999945640564,
-0.38836267590522766,
0.21999286115169525,
-0.8066006302833557,
0.3520492911338806,
0.10587608069181442,
-0.03207076713442... |
Detailed Instructions: In this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Among the entities, try to find the best entity that is most likely to fill in "_" and classify the answers based on options.
See one example below... | (D) | 4 | NIv2 | task302_record_classification | fs_opt | [
0.020809877663850784,
0.558705747127533,
-0.3728952407836914,
-0.05145452171564102,
-0.028604252263903618,
0.457326740026474,
0.12091797590255737,
1.0781232118606567,
-0.01809573918581009,
0.4633989632129669,
0.07021225243806839,
0.8225209712982178,
-0.6404113173484802,
0.2908850312232971,... |
You are given a statement written in Telugu. 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: Statement: ఇది మండల కేంద్రమైన నాతవరం నుండి 8 కి. మీ. దూరం లోను, సమీప పట్టణమైన <MASK> నుండి 26 కి. మీ. దూరం... | Solution: దోర్నాల | 5 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
1.0030540227890015,
0.4294537901878357,
0.21697773039340973,
-0.019583866000175476,
0.25604915618896484,
-1.5679874420166016,
0.5549674034118652,
1.3042161464691162,
-0.23341301083564758,
-0.031753987073898315,
-0.4113364517688751,
0.532213032245636,
-0.9002325534820557,
-0.411534190177917... |
Part 1. Definition
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a ch... | In class one day they learned to make origami paper cranes and used them to decorate the class. | 7 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
0.08940649032592773,
0.6127183437347412,
-0.14524048566818237,
-0.8333401679992676,
-0.18348738551139832,
0.26081812381744385,
0.5537239909172058,
0.6883766055107117,
-0.21933767199516296,
-0.32109737396240234,
-0.7211058139801025,
0.48610204458236694,
-0.021411960944533348,
-0.02362330257... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Example Input: ... | infections
| 3 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.5359749794006348,
0.8234477043151855,
-0.09746544808149338,
0.04146038740873337,
0.2153574377298355,
-0.455619215965271,
0.08436105400323868,
0.47783002257347107,
0.21024739742279053,
-0.3480413556098938,
-1.0150349140167236,
0.06613630056381226,
-0.8335223197937012,
0.27724215388298035,... |
Teacher:Given a sentence in Hindi, generate a new Hindi 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 ... | एक विवाह के बाद मनुष्य घर के साथ सहन करना चाहते हैं । | 6 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | zs_opt | [
-0.05716448277235031,
0.47035202383995056,
0.22292640805244446,
-0.22554032504558563,
-0.23067674040794373,
-1.0063793659210205,
0.9374783039093018,
0.7191038131713867,
-0.20466290414333344,
-0.8921155333518982,
-0.3999074101448059,
0.24587762355804443,
-0.79677414894104,
-0.24397289752960... |
TASK DEFINITION: You are given a short poem which is written by a kid. Your task is to predict if the kid is in elementary school or high school. Anyone who is from grade 1st to 6th-grade will be considered as in elementary school, and 7th to 12th-grade kids will be considered as in high school. There are only two poss... | elementary
| 8 | NIv2 | task1712_poki_classification | fs_opt | [
0.3127187490463257,
0.854669451713562,
-0.2704547643661499,
0.04258434474468231,
-0.3891506791114807,
-0.7643828392028809,
0.24348662793636322,
0.9069688320159912,
0.2867746949195862,
-0.8824465870857239,
-0.37326914072036743,
0.3735887408256531,
-0.0030177184380590916,
-0.0494064316153526... |
Teacher: In this task, you will be shown a conversation and a question. You should categorize the question into matching, summary, logic, arithmetic and, commonsense groups. Matching is a question entailed or paraphrased by exactly one sentence in a dialogue. The answer can be extracted from the same sentence. Question... | logic | 2 | NIv2 | task248_dream_classification | fs_opt | [
0.40699997544288635,
-0.0323689840734005,
-0.0990150049328804,
-0.07722829282283783,
0.5528247356414795,
-0.8730036020278931,
0.6350706219673157,
0.5643369555473328,
-0.1820921003818512,
-0.132393017411232,
-0.46324360370635986,
-0.12562578916549683,
-0.11909983307123184,
-0.05562343448400... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
See one example below:
Problem: "אז," אמרתי, "זה כמו חלום?" והיא אמרה, "" לא, זה לא כמו חלום. זה כמו סרט. "" היא אמרה, "" יש בו צבעים. יש בו תנועה.
Solution: Pregunteille: "" É coma un soño? "" E dixo:... | Se te preguntas, de que se intenta protexer unha célula cando se fai resistente á insulina? a resposta probablemente non sexa: demasiada comida. | 4 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.7157082557678223,
0.6778061389923096,
0.32851168513298035,
-0.6780906915664673,
-0.48692867159843445,
-0.6687566041946411,
0.6138507723808289,
0.27737516164779663,
-0.8305474519729614,
-0.4689675271511078,
-0.05105718970298767,
0.05988999828696251,
-1.0247042179107666,
-0.15731428563594... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a man jumping up above a wave with his surfboard'. Count the number of consonants in the given sentence.
A: | 23 | 4 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.35376065969467163,
0.7507063150405884,
-0.9957619309425354,
-1.1215786933898926,
0.08646826446056366,
0.0035654567182064056,
-0.1158161610364914,
0.7766733169555664,
-0.2745232582092285,
-0.4419717788696289,
-0.638390302658081,
0.025104325264692307,
-0.4548707604408264,
-0.67987251281738... |
Detailed Instructions: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation ... | strengthener | 8 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.06588152050971985,
0.684933066368103,
-0.1478588581085205,
0.20349588990211487,
-0.011684439145028591,
-0.9184516668319702,
0.9561789035797119,
1.2577342987060547,
0.21591998636722565,
-0.511777400970459,
-1.283764362335205,
0.034045249223709106,
-0.7829724550247192,
-0.2676298022270202... |
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.
One example is below.
Q: Sentence 1: Next to the MGM... | telephone | 9 | NIv2 | task197_mnli_domain_answer_generation | fs_opt | [
-0.8561516404151917,
-0.10463619232177734,
0.1509120762348175,
-0.005169087089598179,
0.42556285858154297,
-0.08882564306259155,
-0.6127984523773193,
0.32081514596939087,
0.221542090177536,
-0.39496397972106934,
-0.36166250705718994,
-0.5470995903015137,
-0.07595234364271164,
-0.4494730532... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
O que ele não faz é ajudá-las a aprender os padrões das palavras. | Quello che non li aiuta a fare è imparare gli schemi di parole. | 0 | NIv2 | task1280_ted_translation_pt_it | zs_opt | [
-0.8193873167037964,
1.1884161233901978,
-0.5805566310882568,
-0.24443896114826202,
-0.3059352934360504,
-0.39854946732521057,
0.05552337318658829,
0.695132851600647,
-0.1820099800825119,
-0.5091257691383362,
-0.818941056728363,
-0.5499961376190186,
-0.44815629720687866,
0.7848886847496033... |
In this task you will be given a list of integers. For every element in the list, if the element is even you should divide by 4, if the element is odd you should multiply by 4 then add 2. The output should be a list of numbers that is the result of applying that logic to the input list. You should not round any decimal... | [30, 70, 3.5] | 3 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.4434080123901367,
1.010582685470581,
-0.3438469171524048,
-0.222920760512352,
0.09488546848297119,
-0.3237627148628235,
1.1971864700317383,
0.0041274745017290115,
-0.12596425414085388,
0.28423500061035156,
-0.4913536608219147,
0.08743180334568024,
-0.4900950789451599,
-0.108174920082092... |
Translate the given Spanish text to English
Q: A process for making fibrillated fibers includes preparing a fluid suspension of fibers, low shear refining the fibers at a first shear rate to create fibrillated fibers having a reduced CSF, and subsequently higher shear refining the fibers at a second shear rate, higher ... | Se describe un proceso para fabricar fibras fibriladas que incluye preparar una suspensión fluida de fibras, el refinado de cizallamiento bajo de las fibras a una primera velocidad de cizallamiento para crear fibras fibriladas que tengan un CSF reducido, y posteriormente el refinado de cizallamiento mayor de las fibras... | 4 | NIv2 | task840_para_pdt_en_es_translation | zs_opt | [
-0.06377004086971283,
0.3438602089881897,
-0.892514705657959,
-0.11642571538686752,
-0.02718685008585453,
0.12223617732524872,
0.48655712604522705,
0.9689667820930481,
-0.5536172986030579,
0.2631438970565796,
-0.33127832412719727,
-0.9164577722549438,
-0.07252922654151917,
0.39023333787918... |
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its antonym (e.g., changing from "sympathetic" to "stern"). You should not change any ... | A brand new car was sold by PersonX to PersonY because _ was a car buyer.
| 5 | NIv2 | task035_winogrande_question_modification_person | fs_opt | [
0.90129154920578,
0.2991778254508972,
-0.5205755233764648,
0.0006769704632461071,
0.24557960033416748,
-1.0725724697113037,
1.3190498352050781,
0.6094694137573242,
-0.128130242228508,
-0.639018177986145,
0.03543971851468086,
0.41974353790283203,
-0.7729052305221558,
0.5257799625396729,
0... |
Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Problem:करीब 90 हज़ार करोड़ रुपया, यह छोटी रकम नहीं है।
Solution: | લગભગ 0,000 કરોડ રૂપિયા, આ નાની રકમ નથી. | 8 | NIv2 | task1034_pib_translation_hindi_gujarati | zs_opt | [
-0.01035151258111,
0.7724753618240356,
0.04554468393325806,
-0.15104924142360687,
-0.7665029764175415,
-0.6699119806289673,
0.453123539686203,
0.2528338134288788,
-0.3314749598503113,
-0.910780131816864,
-0.3090165853500366,
0.29025745391845703,
-0.7852997779846191,
0.7163127064704895,
-... |
Definition: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Input: news:Salcomp Oyj , the Finnish maker of mobile phone chargers , Monday posted a EUR1 .49 million loss in the ... | true | 2 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-1.0001766681671143,
0.0890655368566513,
-0.18471947312355042,
0.18369317054748535,
-0.1860928237438202,
-0.2642194330692291,
0.2932070195674896,
0.3718787431716919,
0.1797657310962677,
0.18471726775169373,
-0.49253565073013306,
0.4217752516269684,
-0.016022376716136932,
0.3155048191547394... |
In this task, you need to answer the given multiple-choice question on geometry. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
[EX Q]: Problem: find the surface area of a 8 cm x 4 cm x 2 cm brick .
Options: a ) 136 cu cm , b ) 112 cu cm , c ) 164 cu cm , d ) 180 cu cm , e ) none
[EX A]: b
[EX Q]: Problem: ... | b
| 6 | NIv2 | task1423_mathqa_geometry | fs_opt | [
0.2879365086555481,
0.493533730506897,
-0.3145619332790375,
-0.4851874113082886,
0.11432357132434845,
-0.6420593857765198,
0.17277072370052338,
0.013410970568656921,
-0.47840869426727295,
0.5798232555389404,
-0.37664783000946045,
0.5349929332733154,
-0.15097662806510925,
0.0120957596227526... |
Detailed Instructions: 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 questi... | In the morning, he urinates from his bladder to the toilet bowl until the _ is full. | 9 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.7238191962242126,
0.32038307189941406,
0.015868309885263443,
-0.32122886180877686,
0.6140738725662231,
-0.7461254596710205,
0.7662197351455688,
0.9039362072944641,
-0.7170810699462891,
-0.3364065885543823,
-0.33723214268684387,
0.35875341296195984,
-0.5501910448074341,
-0.090326994657516... |
Instructions: In this task, you are given a sentence in the Hindi 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).
Input: "जो ग्राहक खरीद के एक वर्ष के भीतर अपने Xbox 360 के साथ ... | "Customers that experience hardware issues with their Xbox 360 within one year of purchase will have their consoles repaired at no cost." | 3 | NIv2 | task433_alt_hi_en_translation | zs_opt | [
-0.7595305442810059,
-0.036797549575567245,
0.25334689021110535,
0.03333002328872681,
0.28092947602272034,
-0.6166478395462036,
0.643344521522522,
0.24762535095214844,
0.1808701455593109,
-0.24091103672981262,
0.14295414090156555,
0.2356891930103302,
-0.3043014407157898,
-0.154069259762763... |
This task is about translating a given French language sentence to English.
Input: Consider Input: Et puis vous allez avoir moins un sinus carré 0, qui est aussi 0.
Output: And then you're going to have minus a squared sine of 0, which is also 0.
Input: Consider Input: Les vêtements que tu portent sont beaux." Et d... | Output: And actually this y and this y are also alternate interior, and we already proved that they equal each other.
| 2 | NIv2 | task1690_qed_amara_translation | fs_opt | [
0.18259161710739136,
1.3403204679489136,
0.1771494299173355,
0.09249498695135117,
0.642518162727356,
-0.6222044229507446,
-0.4973564147949219,
0.757154107093811,
0.38974225521087646,
0.4430505931377411,
-0.2937946915626526,
0.4853116273880005,
-0.21263974905014038,
-0.5699408650398254,
0... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
If an arrow hits home , it is taken to be a sign of the victory of gods over demons in the heaven .
| यदि निशान ठीक लग जाए तो वह स्वर्ग में देवताओं की विजय का प्रती होता है । | 5 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
-0.7483264207839966,
0.781682014465332,
-0.2728044390678406,
0.5343992710113525,
-0.3422558307647705,
-0.8790748119354248,
0.31391334533691406,
0.35747408866882324,
-0.2751873731613159,
-0.4105502963066101,
-0.5163905620574951,
0.7747249007225037,
-0.4830644726753235,
0.03649023920297623,
... |
Given the task definition and input, reply with output. You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
In realtà ci siamo incontrati in una trattoria nei pressi dell'aeroporto di Dallas.
| It was in actually a diner outside of Dallas / Fort Worth Airport. | 5 | NIv2 | task1247_ted_translation_it_en | zs_opt | [
0.3259459435939789,
0.3895745277404785,
-0.023383453488349915,
-0.14559298753738403,
-0.25446203351020813,
0.030185405164957047,
-0.10684160888195038,
-0.12734979391098022,
1.0954782962799072,
0.5759073495864868,
0.2621694803237915,
0.2197675108909607,
0.1216001808643341,
-0.11377070844173... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
--------
Question: Puesto que entiende lo que pasa, ¿no le preocupa?
Answer: Because you understand what's doing it, it doesn't make you worried?
Question: Nos informó acerca de la osteoporosis.
Answer: It's informed us... | What makes a strong female character is a character who has weaknesses, who has flaws, who is maybe not immediately likable, but eventually relatable.
| 7 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.025547131896018982,
0.3288908302783966,
-0.3727564811706543,
-0.2688390612602234,
-0.024566618725657463,
-0.9278942346572876,
0.7510190606117249,
0.7358262538909912,
0.670831561088562,
-0.25015419721603394,
-0.11446063965559006,
0.17246036231517792,
-0.6646701693534851,
0.16145586967468... |
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