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 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 phrases and sentences fro... | He gives them test packets >Causes> They feel(s) unprepared | 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.2711760103702545,
0.399321973323822,
-0.13073033094406128,
-0.4906007647514343,
0.20729920268058777,
-0.7110941410064697,
-0.1538209170103073,
0.44319289922714233,
-0.3102516829967499,
-0.2964476943016052,
-0.3079342544078827,
0.7021707892417908,
-0.3963736593723297,
-0.2023295760154724,... |
Definition: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Input: اما کسانى که ایمان آورده و کارهاى شایسته کردهاند، در گلستانى، شادمان مىگردند.
Output: | Those who believed and did the right will be feasted in a rich, well-watered meadow. | 2 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.5837361812591553,
0.8464438319206238,
-0.4939296245574951,
-0.8645937442779541,
-0.3319668173789978,
-0.030354708433151245,
0.4559062719345093,
0.12230168282985687,
0.6284914612770081,
0.2252083718776703,
-1.0441988706588745,
0.48657920956611633,
-0.7864278554916382,
0.8537824153900146,... |
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.
Beginning: Franco visited ... | 2 | 0 | NIv2 | task069_abductivenli_classification | zs_opt | [
-0.4817308783531189,
0.5391945838928223,
-0.1272028684616089,
0.2975402772426605,
-0.5721356272697449,
-0.22161468863487244,
0.3147468566894531,
0.8323465585708618,
-0.03104322776198387,
-0.5062524080276489,
-0.9069828987121582,
0.1451270580291748,
-0.2951953411102295,
-0.09656231105327606... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Portugese.
See one example below:
Problem: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.
Solution: No final, es... | Estava a ser entrevistada por vários telejornais nacionais e jornais, e foi fantástico. | 4 | NIv2 | task1246_ted_translation_gl_pt | fs_opt | [
-0.5653943419456482,
0.424991250038147,
0.34963172674179077,
-0.9990649223327637,
-0.09003286808729172,
-0.6738728284835815,
-0.8720166683197021,
0.7168002128601074,
-0.2378884106874466,
0.29717761278152466,
-0.7572340965270996,
0.5758798122406006,
-0.4493582248687744,
0.08932512998580933,... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Q: 8, ['l', 'A', '6885', 'G', 'e', '4441', '9143', 'v', '8193', '2897', '9659', 'R', 'O', '8093', '2197', 'B', 'B',... | 8703, 9069, P, 1107, E, 4991, 2593, e, Y, 8433, 9611, a, K, 6009, 8363, D, G, D, q, d, 3197
****
| 4 | NIv2 | task064_all_elements_except_first_i | fs_opt | [
-0.42200204730033875,
-0.05335022509098053,
-0.509286642074585,
-0.2417680025100708,
-0.316672146320343,
-0.3979719281196594,
0.5032421350479126,
0.7188583612442017,
-0.7114375233650208,
0.09726777672767639,
-0.7408784031867981,
-0.16167305409908295,
0.1340140700340271,
0.11129549145698547... |
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: نئی دہلی،05 مارچ2019مرکزی حکومت ملک میں چینی کی اضافی پیداوار کی صورتحال کا بندوبست کرنے اور چینی کی قیمتوں کو مستحکم رکھنے کے لئے... | Ministry of Consumer Affairs, Food Public Distribution The Central Government with a view to manage the situation of surplus production in the country and to stabilize the sugar prices with a view to clear cane price arrears of farmers has been implementing the Sugar Price (Control) Order, 2018 along with imposition o... | 9 | NIv2 | task1058_pib_translation_urdu_english | zs_opt | [
0.3033454418182373,
0.4301206171512604,
-0.48805931210517883,
-0.9888808131217957,
0.02791379764676094,
-0.8736172914505005,
0.052602238953113556,
1.0724393129348755,
-0.36844372749328613,
-0.07072845101356506,
-0.7500384449958801,
-0.1525069773197174,
-0.003302271943539381,
0.621348500251... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Let me give you an example: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی ق... | انا اردت فعلا ايجاد طرق جديدة لاعلام الاطفال تتبنى الابداع والتعلم و الابتكار | 8 | NIv2 | task1268_ted_translation_fa_ar | fs_opt | [
-0.9755970239639282,
0.3528749346733093,
-0.5280226469039917,
-0.6764997243881226,
-0.16843834519386292,
-0.0076833367347717285,
1.0461292266845703,
0.10532817244529724,
0.05341854691505432,
-0.26257485151290894,
-0.6896156668663025,
0.21740755438804626,
-0.5251173377037048,
0.349317312240... |
Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it b... | Usted registraría su coche porque su destino está demasiado lejos.
| 0 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
-0.3759880065917969,
0.7515580654144287,
0.21619200706481934,
-0.13272635638713837,
0.1602368950843811,
-0.48729047179222107,
-0.12734201550483704,
1.4672483205795288,
-0.5129615664482117,
-0.325993150472641,
0.015254026278853416,
0.07699108123779297,
-0.6372258067131042,
0.042099822312593... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
One example: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
Solution is here: ten
Explanation: Snakes ... | four | 6 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.50629061460495,
0.22025038301944733,
-0.09528644382953644,
0.016821764409542084,
-0.050205886363983154,
-0.503490686416626,
0.9197350740432739,
0.36007827520370483,
-0.5250031352043152,
-0.08308687806129456,
0.3642856776714325,
0.32201051712036133,
-1.2079343795776367,
-0.16889283061027... |
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 sub... | True | 8 | NIv2 | task1187_politifact_classification | fs_opt | [
-0.11909367144107819,
0.2789269685745239,
0.0810326561331749,
0.3387396037578583,
-0.5569623708724976,
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0.8433952331542969,
0.14654339849948883,
0.03592768311500549,
0.15159326791763306,
-0.8921439051628113,
-0.018125932663679123,
-0.49470508098602295,
0.404236912727355... |
Q: In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list.... | [['t', 'v', '7'], ['t', 'v', 'q'], ['t', '7', 'q'], ['v', '7', 'q']] | 7 | NIv2 | task208_combinations_of_list | zs_opt | [
-0.475222647190094,
0.6483351588249207,
-0.45435860753059387,
-0.02433181181550026,
0.49162885546684265,
-0.34545183181762695,
0.43814098834991455,
0.15571463108062744,
0.4155336320400238,
0.11119993031024933,
0.18603463470935822,
0.27865034341812134,
-0.3300315737724304,
0.296157270669937... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are... | walk around right twice and turn opposite left thrice | 0 | NIv2 | task129_scan_long_text_generation_action_command_short | fs_opt | [
0.15013638138771057,
0.22837568819522858,
-0.4451559782028198,
0.1980385035276413,
0.06977927684783936,
0.15094974637031555,
0.3835941255092621,
1.0154917240142822,
-0.31109556555747986,
-0.0158420167863369,
-0.5647598505020142,
-0.5197717547416687,
-0.5523087978363037,
-0.0180785879492759... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
ت. د.: منذ ان كنت صغيرا جدا ، وما بعده ، أُعطيت الكثير من المسئوليات المختلفة ، ودائما ما بدا لي ، عندما كنت صغيرا ، كل شي وضع قبلي.
TD: Fin da quando ero molto giovane in poi, mi sono state affidate molte differenti respons... | Alcune di queste vi sembreranno familiari perché probabilmente voi stessi state pensando in quel modo. Sto usando la mia teoria del cervello per vedere.
| 0 | NIv2 | task1106_ted_translation_ar_it | fs_opt | [
0.25144317746162415,
0.7970024943351746,
-0.4387187957763672,
-0.9055043458938599,
-0.9408347606658936,
-0.6212595701217651,
1.1066116094589233,
0.36529359221458435,
-0.04133540391921997,
-0.23003265261650085,
-0.8137913346290588,
0.3206675052642822,
-0.7462511658668518,
0.6884205937385559... |
Definition: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Input: 2, ['2295', '9205', 'm', '2219', 'E', 'V', '2615', 'Y', 'z']
Output: | m, 2219, E, V, 2615, Y, z | 2 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.2290891408920288,
0.08133621513843536,
-0.3060987591743469,
0.2817462086677551,
-0.14953988790512085,
-0.3417377471923828,
0.13558301329612732,
0.060914844274520874,
-0.33879202604293823,
-0.030022937804460526,
-0.9346621036529541,
0.05172792077064514,
0.004986460320651531,
-0.370795786... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: insult and non-insult. Insult is any lanugage or act that is disrespectful or scornfully abusive.
Example: Comment: your posts shows you are stupid period
Example solution: Insult
Example expla... | Solution: Insult | 5 | NIv2 | task328_jigsaw_classification_insult | fs_opt | [
-0.8758220076560974,
0.5562871098518372,
0.8083075881004333,
0.08171497285366058,
0.025412701070308685,
-0.21419231593608856,
0.5907859802246094,
0.6619747281074524,
0.18479695916175842,
0.21644362807273865,
-0.036829836666584015,
0.03822440654039383,
-0.6056162118911743,
-0.86918365955352... |
In this task you will be given a list of numbers and you need to subtract every value in the list with the index it is at. The index of an elements shows its numerical order in the list(for example, in the list [7,10,4,5], the index of 7 is 1 and the index of 4 is 3) You should start the index at 1, so the first eleme... | [-8, 14, 0, -5, -23, 1, 5, -9] | 4 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.1314120888710022,
0.2457309067249298,
-0.6336612701416016,
-0.5162405967712402,
0.29609793424606323,
-0.42264628410339355,
1.534672737121582,
0.5284349918365479,
0.2553134560585022,
-0.23776587843894958,
-0.3040194511413574,
-0.26588118076324463,
-0.5213035941123962,
0.5349745750427246,
... |
Teacher: In this task, you are given triplets. Each triplet is in the form of [subject, predicate, object]. Your task is to generate proper sentence that utilizes these triples. The objective is to construct a sentence that (a) captures the facts specified in the triples and (b) is a well-formed sentence easily underst... | Landon Donavan has 57 goals in his career. | 2 | NIv2 | task1409_dart_text_generation | fs_opt | [
-0.2859349250793457,
0.34632599353790283,
-0.5815784931182861,
-0.8324161767959595,
0.07311025261878967,
-0.017144307494163513,
0.4305148124694824,
1.2123925685882568,
-0.25745347142219543,
-0.15310761332511902,
-0.27955299615859985,
0.507050633430481,
-0.47008174657821655,
-0.459290385246... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Let me give you an example: Così diventa un igloo.
The answer to this example can be: این یک خانه ی اسکیمو می شود.
Here is why: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
OK. ... | ولی امید به زندگی در این کشور فقط 78 سال است ولی امید به زندگی در این کشور فقط 78 سال است | 8 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.06389592587947845,
0.9158266186714172,
-0.153765469789505,
-0.6313557624816895,
0.26689785718917847,
-1.341212272644043,
0.9575107097625732,
0.10564378648996353,
-0.30173975229263306,
-0.09554852545261383,
-0.7763445377349854,
0.9521263837814331,
-0.9292381405830383,
0.4049041271209717,
... |
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 inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements that are commo... | No
| 3 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.6854687929153442,
-0.08428917825222015,
-0.7376794219017029,
0.3955615162849426,
-0.13885498046875,
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0.6154184937477112,
0.789158046245575,
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-0.7406351566314697,
0.22559145092964172,
0.0004609884927049279,
-0.4045089781284332,
... |
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 .
Q: Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాలలు ఐదు, ప్రభుత్వ ప్రాథమికోన్నత పాఠశాల ఒకటి ఉన్నాయి.బాలబడి, మాధ్యమిక... | ఖమ్మంలో | 4 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
1.2132047414779663,
0.6766262054443359,
0.5702968835830688,
-0.846725344657898,
0.32901254296302795,
-0.8959941267967224,
-0.45371222496032715,
1.457050085067749,
-0.4223841428756714,
-0.3006324768066406,
0.056945160031318665,
0.014942716807126999,
-0.2350776195526123,
-0.7866747379302979,... |
Detailed Instructions: In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its re... | ysXSzbcdefglmoopruwxxzatHUH, wxgHtyflGnfcskgbcdefglmoopruwxxzLq | 8 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.4109002947807312,
0.6581496000289917,
-0.1318698674440384,
-0.32078003883361816,
0.07966035604476929,
-0.1680990308523178,
0.6614160537719727,
-0.6325594186782837,
0.01292008999735117,
-0.23266413807868958,
-0.5308226346969604,
-0.3497920036315918,
0.1489555686712265,
0.05794801935553551... |
Teacher:In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with "Yes" or "No".
Teacher: Now, understand the problem? Solve this instance: Oscar-winning actress Joan Fontaine died Sun... | No | 6 | NIv2 | task1392_superglue_multirc_answer_verification | zs_opt | [
0.8258216381072998,
0.19345787167549133,
-0.6134809255599976,
0.055415332317352295,
0.3718830347061157,
-0.4696905314922333,
0.4972931146621704,
0.9232455492019653,
0.029177555814385414,
0.05109083652496338,
0.11616440117359161,
0.1326170265674591,
-0.5798683166503906,
-0.08922479301691055... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Example Input: وهي معروفة بقدرتها على تحمل البرد والجفاف والفراغ والحمض والأهم الإشعاع.
Example Output: היא ידועה ביכולת לעמדוד בקור, יבוש, ואקום, חומצה, והכי ראוי לציון, קרינה.
Example Input: ومتفائلة ليس فقط أن العمل الخير... | הוא גדול יותר מכל הבוגרים שיצאו מ- MIT ב- 150 השנה שהיא קיימת.
| 3 | NIv2 | task1233_ted_translation_ar_he | fs_opt | [
-0.5522072315216064,
0.32292741537094116,
0.09538918733596802,
-0.5698864459991455,
-0.712006688117981,
-0.3598519265651703,
0.42836087942123413,
0.2848389744758606,
0.14346611499786377,
-0.6178720593452454,
-0.6733355522155762,
0.18111467361450195,
-0.8911842107772827,
0.14793027937412262... |
Generate a correct and concise answer for the question based on the words in the context.
Example input: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School.
Question : What was Isaac Nicola's city of birth?
Example out... | World War II | 3 | NIv2 | task1327_qa_zre_answer_generation_from_question | fs_opt | [
0.6487786769866943,
0.71950364112854,
-0.2762662172317505,
-0.14603033661842346,
-0.18821582198143005,
-0.6682837009429932,
1.2943412065505981,
0.8796862363815308,
0.6495592594146729,
0.427096962928772,
0.5220996141433716,
0.7065690159797668,
-1.4924817085266113,
0.5671941041946411,
0.59... |
Detailed Instructions: In this task, you will be given a food review and a question about the reviewer's sentiment toward one aspect of the food in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutra... | positive | 8 | NIv2 | task524_parsinlu_food_aspect_classification | zs_opt | [
-0.7587980031967163,
-0.04561755806207657,
0.05156048759818077,
-0.2637259364128113,
-0.11419682204723358,
0.5634230971336365,
1.067684531211853,
0.2891084551811218,
0.37180352210998535,
-0.16492021083831787,
0.12166304886341095,
0.11475521326065063,
-0.25493887066841125,
0.510873734951019... |
Given the task definition and input, reply with output. Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Excellent service and product, quick service from Amazon. Did not have any trouble contacting Amazon. Thank you for fast service.
| Kindle Fire | 5 | NIv2 | task1342_amazon_us_reviews_title | zs_opt | [
-0.6116385459899902,
0.42869365215301514,
0.33307793736457825,
-0.14381080865859985,
-0.011134263128042221,
-0.1521100401878357,
0.7003388404846191,
-0.21836251020431519,
0.10641633719205856,
0.6275729537010193,
-0.2067706137895584,
0.01281723752617836,
-0.590269923210144,
-0.1545522511005... |
Given the task definition and input, reply with output. In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is th... | 6 | 5 | NIv2 | task1445_closest_integers | zs_opt | [
-0.7482663989067078,
0.5321917533874512,
0.2144005000591278,
-0.11921188235282898,
-0.17725157737731934,
-0.300238698720932,
0.601914644241333,
-0.17855092883110046,
0.693455696105957,
-0.08192668855190277,
-0.48315781354904175,
-0.33406054973602295,
-0.48100438714027405,
-0.09174177050590... |
Teacher:In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? Solve this instance: Tw... | no | 6 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.4892550706863403,
0.2955001890659332,
0.8812927007675171,
0.38318121433258057,
0.2638837397098541,
-1.509150505065918,
-0.4378003478050232,
0.3586274981498718,
0.37481236457824707,
0.7404690980911255,
-0.1565067023038864,
-0.25358080863952637,
-0.18519552052021027,
-0.5749095678329468,
... |
In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: Consider Input: 2 c. sugar, 1 c. vinegar
Output: sugar, vinegar
Input: Consider Input: 1 medium onion, 2 green peppers, 1 box fresh mushrooms, 7 p... | Output: Carte, milk, cubes
| 2 | NIv2 | task570_recipe_nlg_ner_generation | fs_opt | [
-0.46448296308517456,
0.36025333404541016,
-0.13795411586761475,
0.36691975593566895,
-0.06501913070678711,
0.32496052980422974,
0.11662531644105911,
0.8163626194000244,
-0.09890816360712051,
-0.46113306283950806,
0.07601051032543182,
-0.19559431076049805,
-0.567004919052124,
-0.5334379673... |
Given the task definition and input, reply with output. Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. ... | look opposite left twice after turn left thrice | 5 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
0.15028205513954163,
0.7315565347671509,
-0.43817371129989624,
0.11320342868566513,
-0.0718594491481781,
0.24755863845348358,
0.23804861307144165,
0.36391836404800415,
-0.2617000639438629,
-0.16549882292747498,
-0.7750539779663086,
-0.42991337180137634,
-0.6084949374198914,
0.0136540774255... |
Definition: In this task you're given a question and you have to paraphrase the question to create the output question while retaining the meaning of the original question.
Input: What should I prefer after a BDS, doing an MDS or some diploma courses?
Output: | Is it better to do MDS (after BDS) in Indian Govt college or go for DDS in US? | 2 | NIv2 | task1345_glue_qqp_question_paraprashing | zs_opt | [
-0.22769945859909058,
0.630751371383667,
-0.379753053188324,
-0.5164777636528015,
-0.6402021646499634,
0.43031424283981323,
0.6801646947860718,
0.0921281948685646,
0.5392841100692749,
-0.0564802885055542,
-0.8820422291755676,
0.5293382406234741,
-0.3002263903617859,
0.49902820587158203,
... |
Detailed Instructions: In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Problem:What does the article say that comics are?, Context: The English term comics derives from the humorous (or "comic") work which predominated in early American newspaper... | periodicals | 8 | NIv2 | task1295_adversarial_qa_question_answering | zs_opt | [
-0.10523077845573425,
0.3099292814731598,
0.2980540990829468,
-0.44876885414123535,
-0.000752401421777904,
-0.09678549319505692,
0.23834094405174255,
-0.009060089476406574,
0.42606329917907715,
-0.339600145816803,
-0.7060706615447998,
0.0748911052942276,
-0.614018976688385,
0.3974047303199... |
Instructions: In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Input: Actualmente, ¿cuál de los siguientes tratamientos conductuales es considerado un tratamiento eficaz para el trastorno depresivo mayor?
Output: | Currently, which of the following behavioral treatments is considered an effective treatment for major depressive disorder? | 3 | NIv2 | task1433_head_qa_language_translation_es_to_en | zs_opt | [
-0.6159583926200867,
0.1819288581609726,
0.13113892078399658,
-1.042426347732544,
-0.12696900963783264,
-0.7380256652832031,
-0.17817258834838867,
0.8536230325698853,
0.2503233850002289,
-0.21575061976909637,
-0.03259176015853882,
-0.2809806168079376,
-0.2271406054496765,
0.318159997463226... |
In this task, you are given an impractical statement. You are also given three reasons (associated with "A", "B", "C") explaining why this statement doesn't make sense. You must choose the most corresponding reason explaining why this statement doesn't make sense.
Let me give you an example: I sting a mosquito
(A) A h... | B | 8 | NIv2 | task295_semeval_2020_task4_commonsense_reasoning | fs_opt | [
0.18884649872779846,
0.17876505851745605,
-0.3851056396961212,
-0.3763301968574524,
0.25857120752334595,
-1.1821030378341675,
0.3699052631855011,
0.46547213196754456,
-0.27789855003356934,
0.6292564868927002,
-0.3961125612258911,
0.21874822676181793,
0.12340868264436722,
-0.786729991436004... |
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 .
Statement: నందికోటలో ఉన్న ఒకప్రాథమిక ఆరోగ్య కేంద్రంలో ఇద్దరు డాక్టర్లు, నలుగురు పారామెడికల్ సిబ్బందీ ఉన్నారు. ఒక ప... | రాయచోటి
| 0 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | fs_opt | [
0.7791898846626282,
0.2749359905719757,
0.06932610273361206,
-0.32863348722457886,
0.47066524624824524,
-1.6152381896972656,
0.6161749958992004,
0.867295503616333,
-0.23952971398830414,
-0.041738297790288925,
-0.442338764667511,
0.3065679371356964,
-0.1358361393213272,
-0.1328541487455368,... |
Detailed Instructions: In this task, you're given text messages in natural language. Your task is to classify those text messages based on their content into two classes: (1) Spam and (2) Ham messages. If the content of the given message is irrelevant to the receiver or is equally relevant to many other potential recip... | spam | 8 | NIv2 | task109_smsspamcollection_spamsmsdetection | zs_opt | [
-0.8306800127029419,
0.36903661489486694,
0.6714618802070618,
-0.8099440336227417,
-0.26368772983551025,
-0.2813856899738312,
0.12490704655647278,
-0.3735019564628601,
-0.49308276176452637,
0.44568362832069397,
-0.3431489169597626,
0.44080594182014465,
-0.778925895690918,
-0.27711433172225... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.
--------
Question: Síntome máis lixeira.
Answer: אני מרגישה קלילה יותר.
Question: Así que realmente podemos cambiar as cousas.
Answer: כך שאנו באמת יכולים לעשות שינויים.
Question: E porque non quixeron admitir que es... | ומשום שהם לא רצו להודות שבמשך חמש שנים הם יישמו תכנית קטסטרופלית ביוון.
| 7 | NIv2 | task1242_ted_translation_gl_he | fs_opt | [
-0.8608838319778442,
0.49411529302597046,
0.3351133465766907,
-0.6031175255775452,
-0.08730363845825195,
-1.4039584398269653,
0.4572208523750305,
0.6168729662895203,
0.21245864033699036,
0.15947319567203522,
-0.20019271969795227,
0.1785571575164795,
-1.2197198867797852,
0.5255255103111267,... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of ... | Numbers Win | 1 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
0.4834773540496826,
-0.06693187355995178,
-0.7327139377593994,
0.202284574508667,
0.030026797205209732,
-0.5088218450546265,
0.5551275014877319,
0.3151392340660095,
-0.5596276521682739,
0.07858524471521378,
-0.6717410683631897,
-0.22551566362380981,
-0.1755048632621765,
-0.0466936267912387... |
In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Q: Beginning: Holly was... | 1
****
| 4 | NIv2 | task070_abductivenli_incorrect_classification | fs_opt | [
-0.19762486219406128,
0.5976721048355103,
-0.2806679606437683,
0.04111115261912346,
-0.7114402055740356,
-0.1706978678703308,
-0.03241895139217377,
1.3371020555496216,
-0.4622257947921753,
0.11668738722801208,
-0.3654105067253113,
0.024503879249095917,
0.22047552466392517,
-0.2880473136901... |
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 return the position of all the numerical elements in the given list in or... | 4, 6, 8, 10, 11, 14 | 0 | NIv2 | task507_position_of_all_numerical_elements_in_list | fs_opt | [
0.11087798327207565,
-0.09359605610370636,
-0.3229721784591675,
-0.06805472075939178,
0.6675879955291748,
-0.003870720509439707,
0.473072350025177,
0.5224589109420776,
-0.44216835498809814,
0.6168583035469055,
-0.49731558561325073,
-0.4358534812927246,
0.06950847804546356,
-0.0347838439047... |
Given the task definition and input, reply with output. In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with t... | [62, 46] | 5 | NIv2 | task207_max_element_lists | zs_opt | [
-0.38468143343925476,
0.41908693313598633,
-0.5374153852462769,
0.0760926604270935,
-0.1036146730184555,
0.48522666096687317,
0.5835846066474915,
-0.021651430055499077,
0.37896913290023804,
-0.022205136716365814,
-0.5216609239578247,
0.12612003087997437,
-0.21142686903476715,
-0.0916732102... |
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.
Ex Input:
claim: All nations have a right to nuclear weapons.
... | undermine
| 1 | NIv2 | task738_perspectrum_classification | fs_opt | [
-0.3876503109931946,
0.49400800466537476,
0.29239141941070557,
0.10194934904575348,
-0.050341930240392685,
-0.8484683632850647,
1.4072535037994385,
0.6920043230056763,
1.0559368133544922,
0.3465166687965393,
-0.41390013694763184,
-0.23368655145168304,
-0.6293209791183472,
0.279798209667205... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
[EX Q]: Tendemos a pensar que estos sistemas son muy diferentes. y la gente discute si lo orgánico puede o no alimentar al mundo. Pero si tomamos una perspectiva a 30 años, hay más esperanza en ideas colaborativas.
[EX A]: ... | Adam Smith mówi o Ameryce XVIII wieku, gdzie zakaz wszelkich widocznych przejawów bogactwa był tak znaczący, że niemal zablokował ekonomię Nowej Anglii, bo nawet zamożni farmerzy nie mogli znaleźć nic, na co mogliby wydawać pieniądze, nie denerwując przy tym swoich sąsiadów.
| 6 | NIv2 | task1102_ted_translation_es_pl | fs_opt | [
0.01624264195561409,
0.10671668499708176,
-0.12245219945907593,
-0.3809698820114136,
-0.008333558216691017,
-0.7555954456329346,
0.7062479853630066,
1.1768114566802979,
-0.314177930355072,
-0.2452353835105896,
-0.2169036865234375,
0.540988564491272,
-0.7795451879501343,
-0.0401678420603275... |
Given a sentence in Somali language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Somali sentence: 9 Waan ogahay dhibaatadaada iyo faqiirnimadaada (laakiin taajir baad tahay), iyo cayda ay kugu caayaan kuwa Yuhuudda isku sheegaa oo aan ahayn, laakiinse ah kuwa sunago... | 9 I know thy tribulation and thy poverty, but thou art rich: and thou art blasphemed by them that say they are Jews and are not, but are the synagogue of Satan. | 4 | NIv2 | task450_opus_paracrawl_so_en_translation | zs_opt | [
-0.412321537733078,
0.5542628169059753,
0.10073280334472656,
0.2945256531238556,
-0.5565891861915588,
-1.2005923986434937,
-0.3443639874458313,
0.3680599331855774,
0.6938830614089966,
0.1576802134513855,
0.7900487184524536,
0.4610874652862549,
-1.457597017288208,
0.18634307384490967,
0.1... |
Detailed Instructions: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: สิ่งที่ผมกังวลในฐานะผู้มีสิทธิเลือกตั้งคือปัญหาทางด้านจริยธรรม
A: | 有権者として、私に関心があるのは道徳的な問題だ。 | 9 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.13465121388435364,
-0.25081509351730347,
0.0017877980135381222,
-0.29644113779067993,
-0.47269922494888306,
-1.350735068321228,
0.5800071954727173,
0.3478505611419678,
-0.5487496256828308,
0.30291831493377686,
-0.16731731593608856,
-0.08204199373722076,
-0.6263730525970459,
0.2197604030... |
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 | [
0.14036895334720612,
0.030588528141379356,
-0.6982043981552124,
0.07936210930347443,
0.45266401767730713,
-0.16591519117355347,
0.7842015027999878,
0.06477943807840347,
-0.2943817973136902,
0.20609122514724731,
0.044098686426877975,
0.6185460686683655,
-0.48414096236228943,
0.1325776576995... |
TASK DEFINITION: A text is given in Malayalam. Translate it from the Malayalam language to the Urdu language. The translation must not omit or add information to the original sentence.
PROBLEM: രാംവിലാസ് പസ്വാന്
SOLUTION: جناب رام ولاس پاسوان
PROBLEM: രാജസ്ഥാന് മുഖ്യമന്ത്രി ശ്രീമതി വസുന്ധര രാജെ പരിപാടി നിയന്ത്രിക്ക... | محترمہ سیتا رمن نے کہا کہ ‘‘کیا کاوے کیلاسا’’ کے نفاذ کے ذریعہ حکومت پردھان منتری کوشل وکاس یوجنا (ای ایم کے وی وائی) کے تحت 10 ملین نوجوانوں کو صنعت سے متعلق ہنرمندی کی تربیت فراہم کرے گی۔
| 8 | NIv2 | task1059_pib_translation_malayalam_urdu | fs_opt | [
0.5538376569747925,
0.5499829649925232,
-0.12251414358615875,
-0.9552065134048462,
-0.2355613261461258,
0.7379539012908936,
0.9246839284896851,
0.2908491790294647,
-0.14245736598968506,
0.3096713125705719,
-0.4025847017765045,
0.3064660429954529,
0.32854342460632324,
0.5634417533874512,
... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Example inp... | 1, 2, 3, 5, 7, 8, 9, 16, 17, 18, 20, 21, 25, 26, 27, 28, 33, 38 | 3 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
-0.18819931149482727,
0.4008009433746338,
-0.19257277250289917,
-0.6741639375686646,
0.3567831516265869,
-0.33156073093414307,
0.8611117601394653,
0.06033677980303764,
-0.6346338987350464,
0.2627300024032593,
-0.6685965061187744,
0.0653432086110115,
0.3479302227497101,
-0.12214036285877228... |
Given the task definition, example input & output, solve the new input case.
In this task you will be given a text passage from a trivia quiz. You should choose the category this question belongs to from these categories: History, Science, Social Science, Fine Arts, Literature. You can only choose one category, so if i... | History | 1 | NIv2 | task521_trivia_question_classification | fs_opt | [
0.4957062005996704,
0.8653887510299683,
-0.47745832800865173,
0.37306034564971924,
0.6599031686782837,
-0.10359925031661987,
0.7802687287330627,
0.6937278509140015,
0.16562440991401672,
-0.25331032276153564,
-0.2373322993516922,
0.6244203448295593,
-0.8521896600723267,
-0.26934587955474854... |
Detailed Instructions: Given a sentence, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Rick Piti... | yes | 8 | NIv2 | task422_persent_sentence_sentiment_verification | zs_opt | [
-0.8033654689788818,
-0.25014299154281616,
0.3094996213912964,
0.18679174780845642,
-0.1844785213470459,
-0.7590359449386597,
0.332008421421051,
0.07688432931900024,
0.12268048524856567,
0.11123134195804596,
-0.21283501386642456,
-0.25680673122406006,
-0.2928343117237091,
0.464033633470535... |
You will be given a definition of a task first, then some input of the task.
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
concept: Ronald Reagan question: when was reagan inaugurated?
Output: | ['1/20/1981'] | 1 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.27139192819595337,
0.9166586399078369,
0.5662177801132202,
0.3512057363986969,
-0.8067561984062195,
-0.46677279472351074,
0.8990089893341064,
-0.0976514145731926,
0.5077685117721558,
0.3283737897872925,
-0.2726857364177704,
-0.35645681619644165,
-0.7034502625465393,
-0.16332373023033142... |
Q: 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. Once you create a question you also need to provide the correct answer for it. Write your answer like "Question: your question, Answer: your answer". The questions sh... | Question: Who are all drug-addicte?, Answer: Rocky | 7 | NIv2 | task182_duorc_question_generation | zs_opt | [
0.2417522370815277,
0.7342369556427002,
-0.7556103467941284,
-0.7551066279411316,
0.04349958896636963,
-0.267499178647995,
0.7536938190460205,
0.7521216869354248,
-0.32069647312164307,
-0.08047179877758026,
-0.3577014207839966,
0.07541900128126144,
-0.4654974639415741,
0.5746155977249146,
... |
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.
Note: A list is presen... | [16, 114, 150, 63, 264, 162]
| 5 | NIv2 | task374_synthetic_pos_or_neg_calculation | fs_opt | [
-0.9696378707885742,
0.2654834985733032,
0.05014779791235924,
-0.49858880043029785,
0.018417030572891235,
0.08895355463027954,
0.936340868473053,
-0.047600649297237396,
-0.44398680329322815,
0.4899451732635498,
-0.7855762839317322,
0.16173382103443146,
-0.2919115722179413,
-0.2361084222793... |
You will be given a person's personality, and a history of a conversation this person has had. You will be given four candidate sentences to complete the conversation, based on the context. Choose one and answer with the text.
Let me give you an example: Personality: I like spending time with my friends and family.
I ... | We make pizza at the restaurant I work at. | 8 | NIv2 | task1730_personachat_choose_next | fs_opt | [
0.26979026198387146,
0.04512839764356613,
-0.33441299200057983,
0.18692214787006378,
-0.2092778980731964,
-0.47888273000717163,
0.937699556350708,
0.03270236402750015,
-0.48984983563423157,
-0.5227394700050354,
-0.019037146121263504,
-0.19665592908859253,
-0.5464907288551331,
0.00907442718... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
و همین طور پدران اولیه ما؟!» | And our fathers too?" | 0 | NIv2 | task657_quran_fa_en_translation | zs_opt | [
-0.24834875762462616,
1.1557393074035645,
0.007741237990558147,
-0.5029688477516174,
-0.5523414611816406,
-0.12239775061607361,
0.8632583618164062,
0.35888296365737915,
0.9539798498153687,
-0.11842753738164902,
-0.8193999528884888,
0.349406898021698,
-1.0573837757110596,
-0.195672720670700... |
In this task, you will be presented with a question having multiple possible answers in Russian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Example Input: Question: Он боялся умереть от холода, и он мудро решил, на что?
Options: A оке... | E
| 3 | NIv2 | task1139_xcsr_ru_commonsense_mc_classification | fs_opt | [
0.21853166818618774,
0.32085227966308594,
-0.21243774890899658,
-0.26803576946258545,
-0.3370737135410309,
-0.07149071991443634,
0.9454789161682129,
0.8130160570144653,
0.12756448984146118,
-0.050092488527297974,
-0.5277206897735596,
0.2783801257610321,
0.47030651569366455,
-0.240310370922... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Q: experienced a sudden feeling of loneliness.
A: ناگهان احساس کرد تنها مانده است،
****
Q: whose tears were beginning to shew themselves, immediately said, with some keenness, ;I do not like my situation:
A: که اشکهایش... | باید گردشی میکرد و یک انبار یا کومه علفی را مییافت که حداقل تمیز باشد.
****
| 4 | NIv2 | task661_mizan_en_fa_translation | fs_opt | [
0.21304212510585785,
0.6214774250984192,
-0.10168679058551788,
-0.6387828588485718,
-0.5188133120536804,
-0.7307221293449402,
0.7973037958145142,
1.2801320552825928,
0.3018840253353119,
0.580656111240387,
0.043350256979465485,
0.045836612582206726,
-0.5807805061340332,
0.032155729830265045... |
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 : The Keep the Clause campaign was a privately funded political campaign organised in 2000... | Emeka Okafor
| 6 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
-0.32162711024284363,
0.283346951007843,
-0.20206387341022491,
-0.32244983315467834,
0.6875045299530029,
-0.013717075809836388,
0.6313515901565552,
0.7684112787246704,
-0.0050684548914432526,
0.0243380069732666,
-0.06858741492033005,
0.6140789985656738,
-0.6130540370941162,
-0.110078990459... |
TASK DEFINITION: In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
PROBLEM: Question: Dove si spostano di solito i pendolari?
Options: A autostra... | D
| 8 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | fs_opt | [
-0.15559160709381104,
0.2771216928958893,
-0.5094932317733765,
0.029663290828466415,
-0.6329988241195679,
-0.16939125955104828,
0.6099135875701904,
0.9261100888252258,
-0.08828321844339371,
-0.8219020962715149,
-0.37753036618232727,
0.39844629168510437,
-0.0002455245703458786,
-0.433832496... |
Teacher: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.
Teacher:... | activation | 6 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
0.6405249834060669,
1.027922511100769,
0.36661940813064575,
-1.2768118381500244,
-0.09961315989494324,
-0.6001814007759094,
1.0402753353118896,
0.3821250796318054,
-0.10221397876739502,
-0.8886183500289917,
-0.18045613169670105,
-0.7711118459701538,
-1.394731044769287,
-0.06025033444166183... |
You will be given a definition of a task first, then some input of the task.
In this task, given a sentence in the Vietnamese language, your task is to convert it into the English language.
Một thách thức đối với Tòa án Hiến pháp của nước này đã được mang đến bởi 28 thượng nghị sĩ sau vụ việc gia đình ngài Thủ tướng b... | A challenge through the country's Constitutional Court was brought by 28 of the country's senators following the PM's family selling their 49% share in Shin Corporation tax-free. | 1 | NIv2 | task536_alt_translation_vi_en | zs_opt | [
-0.768134355545044,
-0.006106424145400524,
0.3235923647880554,
-0.0699542760848999,
0.16019472479820251,
0.15429167449474335,
0.9171236157417297,
0.5809651017189026,
0.4436684548854828,
-0.3567069172859192,
0.06193114072084427,
0.17323185503482819,
-0.15274900197982788,
0.1281510442495346,... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write an implausible POS tag to the question. Even though there exist multiple wrong answers, we only need a single wrong answer. Here is the Alphabetical list of part-of-speech tags used in this task: CC... | NN
| 0 | NIv2 | task347_hybridqa_incorrect_answer_generation | fs_opt | [
0.20233967900276184,
0.4127541184425354,
-0.37268149852752686,
0.6567181944847107,
0.16789510846138,
-0.38210320472717285,
0.8951991200447083,
0.7708219289779663,
-0.666989803314209,
-0.11792733520269394,
-0.4022308588027954,
0.21361702680587769,
-0.603402853012085,
0.23136389255523682,
... |
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 possible outputs, i.e... | Solution: elementary | 5 | NIv2 | task1712_poki_classification | fs_opt | [
0.6395279169082642,
0.8629369735717773,
0.37529680132865906,
-0.38724225759506226,
-0.06816264241933823,
-1.019760251045227,
-0.37928685545921326,
0.7057383060455322,
-0.46311408281326294,
-0.7715796828269958,
-0.3709210753440857,
0.40486940741539,
-0.27588391304016113,
-0.2222264558076858... |
Detailed Instructions: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset o... | CONJ | 9 | NIv2 | task1168_brown_coarse_pos_tagging | zs_opt | [
0.3226695656776428,
0.20770715177059174,
-0.37710732221603394,
0.08780021965503693,
-0.17190001904964447,
-0.7357300519943237,
0.5704146027565002,
0.9649918675422668,
-0.17808349430561066,
-0.08072511106729507,
-0.7793701887130737,
0.23462238907814026,
-0.4619027376174927,
0.31860119104385... |
In this task, you are given a summary for US Congressional and California state bill, your task is to generate a Title for this bill. The preferred titles are under forty words and mention the purpose of the bill.
Input: Consider Input: Local and Municipal Health Care Choice Act of 2015 Amends the Public Health Servic... | Output: Small Business Meat Producer and Marketer Protection Act of 1993
| 2 | NIv2 | task1659_title_generation | fs_opt | [
0.017802031710743904,
0.08253853768110275,
-0.1560627520084381,
-0.26009318232536316,
1.1720490455627441,
-0.08342326432466507,
0.6727088689804077,
1.0713622570037842,
-0.6064447164535522,
0.15542253851890564,
0.3989504873752594,
0.38048502802848816,
-0.5399594306945801,
0.2073760181665420... |
In this task, you are given a sentence and your task is to identify whether the sentence contains motion or not, by classifying the sentence into Yes or No. The sentence belongs to the 'Yes' category if there is an occurrence of a motion of a physical entity otherwise the sentence belongs to the 'No' category. The sent... | Yes | 0 | NIv2 | task1517_limit_classfication | zs_opt | [
-0.18982568383216858,
0.26832130551338196,
0.2559138536453247,
1.0219659805297852,
-0.28091466426849365,
-0.3075905442237854,
-0.03007061779499054,
1.112680435180664,
0.06632542610168457,
-0.19539500772953033,
-0.2346779704093933,
-0.8599609136581421,
-0.46151426434516907,
-0.1266777962446... |
In this task, you are given a sentence in Spanish and your task is to translate it into English. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Q: Esta inquietud, señoras y señores Diputados, se encuentra en la esencia misma de nuestra iniciativa Urban, y... | This concern, ladies and gentlemen, lies at the very heart of our URBAN initiative, and I am willing to rewrite the text, if necessary, in order to make this message clearer yet. | 4 | NIv2 | task531_europarl_es_en_translation | zs_opt | [
-0.9342414736747742,
0.5226632952690125,
0.7983174324035645,
-0.3575597405433655,
0.008496490307152271,
-0.5443969964981079,
0.34167712926864624,
0.677815318107605,
0.059982068836688995,
0.10469310730695724,
0.2573569416999817,
0.04236265644431114,
-0.7033843398094177,
-0.13326901197433472... |
Instructions: In this task, you are given a question in Persian, and your task is to translate it into English.
Input: اگر لبخند می زنید، این بدان معنی است که دردی نمی کشید؟
Output: | If you're smiling, does that mean you're not hurting? | 3 | NIv2 | task653_parsinlu_fa_en_translation | zs_opt | [
-0.7394919991493225,
0.9381639361381531,
0.41735512018203735,
-0.6270679235458374,
-0.7598162293434143,
-0.04709506034851074,
0.8074365258216858,
0.05805261433124542,
0.9233589172363281,
-0.07067481428384781,
-0.2623070180416107,
0.25831103324890137,
-0.019053269177675247,
0.24226167798042... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Example: Penso che abbastanza presto vedrete pazienti curati con le cellule staminali derivanti dal proprio grasso o adipe.
Output: وأعتقد أنه في ا... | إذاً دعونا نكبّر الصورة. | 1 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.5873733758926392,
0.42710018157958984,
-0.38763588666915894,
-0.4267774820327759,
-0.5623974800109863,
0.1811128854751587,
0.7553582191467285,
0.9875365495681763,
0.16274923086166382,
-0.4442451298236847,
-0.5039912462234497,
0.535345196723938,
-0.392575204372406,
0.26290363073349,
0.... |
Given the task definition, example input & output, solve the new input case.
Given a question, generate a paraphrase of that question wihout changing the meaning of it. Your answer should reword the given sentence, but not add information to it or remove information from it. The answer to your question should be the sa... | what is worlds largest desert located in the middle east? | 1 | NIv2 | task442_com_qa_paraphrase_question_generation | fs_opt | [
-0.008398051373660564,
0.8383299112319946,
0.49654620885849,
-0.38346171379089355,
-0.22285299003124237,
0.0688178613781929,
1.0183851718902588,
0.774152934551239,
-0.35047924518585205,
-0.15410549938678741,
-1.0547871589660645,
0.1429320126771927,
-0.4815824031829834,
0.013267787173390388... |
Detailed Instructions: In this task, you're given a review from Amazon's food products. 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 or mixed, 4: good, 5: extremely good.
Q: I bought a Belgian waffle maker sort of on a ... | 5 | 9 | NIv2 | task588_amazonfood_rating_classification | zs_opt | [
-0.015809470787644386,
0.1867365837097168,
-0.40697866678237915,
-0.34969210624694824,
0.5567211508750916,
-0.17519643902778625,
0.3819933533668518,
1.429805040359497,
-0.3717043101787567,
0.48211851716041565,
0.08826568722724915,
0.263954758644104,
-0.2582859694957733,
-0.1593581140041351... |
In this task you will be given a list of strings and you need to concatenate them.
[Q]: ['a', 'N', 'direst', 'h', 'K', 'b', 'V', 'd', 'j', 'Spanish', 'v', 'M']
[A]: aNdiresthKbVdjSpanishvM
[Q]: ['at', 'e', 'If', 'W', 'Y', 'worlds.', 'R', 'F', 'P', 'u']
[A]: ateIfWYworlds.RFPu
[Q]: ['G', 'with', 'T', 'I', 'the', 'W... | GwithTItheWexcitements;JimpatientMQrnooks.c
| 5 | NIv2 | task079_conala_concat_strings | fs_opt | [
0.3609766364097595,
0.41316521167755127,
0.2667461633682251,
-0.6179405450820923,
-0.3833746910095215,
-0.385431706905365,
0.2589898705482483,
0.05217724293470383,
-0.17754413187503815,
0.2118811160326004,
-0.5976672768592834,
-0.18052291870117188,
-0.36975669860839844,
-0.2865158319473266... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Así que chamei a Barry e coa súa aprobación, en outubro de 1995, entrei na sala de espera da clínica de pediatría do Boston Medical Center.
Outp... | Zadzwoniłam do Barry 'ego i z jego błogosławieństwem w październiku 1995 wkroczyłam do poczekalni kliniki pediatrii w Bostońskim Centrum Medycznym. | 1 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
0.5319243669509888,
0.2108173668384552,
-0.9517720937728882,
0.13863371312618256,
-0.3229473829269409,
-0.7081984877586365,
0.3121853470802307,
-0.5202064514160156,
0.7948529720306396,
0.076240673661232,
-0.06396139413118362,
1.078031063079834,
-0.09990586340427399,
0.7338587045669556,
0... |
Q: In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. F... | proud | 7 | NIv2 | task293_storycommonsense_emotion_text_generation | zs_opt | [
-0.4414060115814209,
0.27505648136138916,
-0.20223915576934814,
-0.177262544631958,
-0.03588777408003807,
-0.4970332980155945,
0.546255350112915,
0.678901195526123,
0.34786027669906616,
-0.6311026811599731,
-0.6750011444091797,
-0.06556320935487747,
-0.5190842151641846,
0.3262282609939575,... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Problem:"" Oh, estamos facendo un proxecto artístico: colocamos un israelí e un palestino que fan o mesmo traballo.
Solution: | 「アートプロジェクトだよ同じ職業のイスラエル人とパレスチナ人を貼るんだ | 8 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-0.41373229026794434,
0.5868936777114868,
-0.02753821387887001,
-0.19956675171852112,
0.018495867028832436,
-0.21124450862407684,
0.4707401990890503,
0.1982811838388443,
0.5732524394989014,
0.04138943925499916,
-0.17753905057907104,
-0.12612411379814148,
-0.04957640916109085,
-0.3153206110... |
In this task, you will be shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.
One example is below.
Q: هم حسی (synesthesia) فرایندی عصبشناختی است که در آن، تحریک یک گذرگاه حسی یا شناختی به تجربهای خود به خود و بیاختیار در یک گذرگاه حسی یا ... | باشگاه فوتبال لیورپول | 9 | NIv2 | task395_persianqa_answer_generation | fs_opt | [
0.3887711465358734,
0.14543405175209045,
0.22591695189476013,
0.019308168441057205,
0.1942932903766632,
-0.04880402982234955,
0.7851083874702454,
0.4753820598125458,
0.5443487763404846,
-0.150383859872818,
-0.5496488809585571,
0.7657290697097778,
-0.36340591311454773,
0.22895961999893188,
... |
Given an abstract, indicate which of the provided candidate titles (Option1 and Option2) best describes it (respond with the text of the title, not option1/2).
Q: Abstract: To determine the relative contributions of the atrial and ventricular septa to total cardiac septation in patients with atrioventricular (AV) canal... | Cardiac septation in atrioventricular canal defect. | 4 | NIv2 | task624_ohsumed_question_answering | zs_opt | [
0.28697165846824646,
-0.5241596698760986,
-0.29120683670043945,
-0.02274007350206375,
0.7475867867469788,
0.06804636865854263,
0.7820342779159546,
0.48892778158187866,
-0.14675140380859375,
0.38542816042900085,
0.393623948097229,
-0.10269718617200851,
-0.2364002913236618,
0.044031094759702... |
TASK DEFINITION: In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link informatio... | In what year was the railway company that was authorized to build two extensions in 1873 founded?
| 8 | NIv2 | task235_iirc_question_from_subtext_answer_generation | fs_opt | [
1.037886142730713,
0.6095736026763916,
-0.08905911445617676,
-0.1525551676750183,
-0.07169626653194427,
-0.613054096698761,
0.6538606882095337,
0.18916021287441254,
-0.08978787064552307,
-0.1102798655629158,
-0.0026715153362601995,
0.12663757801055908,
-0.26403892040252686,
0.2231801003217... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | Yes | 5 | NIv2 | task1198_atomic_classification_owant | zs_opt | [
-0.02071608230471611,
0.4278539717197418,
0.3905940651893616,
-0.14784952998161316,
-0.1914009004831314,
-0.5944013595581055,
1.1509671211242676,
0.29929661750793457,
-0.5860341191291809,
-0.5146403312683105,
-0.4571148157119751,
-0.47033795714378357,
-0.8354027271270752,
0.122429072856903... |
Part 1. Definition
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
Part 2. Example
i don't work i could take your shift i am a student
Answer: other
Explanation: In this dialogue someone is informing anot... | angry | 7 | NIv2 | task517_emo_classify_emotion_of_dialogue | fs_opt | [
-0.7845179438591003,
0.4009236693382263,
0.3408272862434387,
-0.9078953266143799,
-0.10716819763183594,
-0.027484141290187836,
0.8047037124633789,
0.11547183990478516,
0.5866025686264038,
-0.38720205426216125,
0.15864092111587524,
-0.3718526363372803,
-0.8727818727493286,
-0.05250930786132... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
Ex Input:
who played caleb in sarah pla... | Johann Wolfgang Dobereiner
| 1 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.32434701919555664,
0.6545524597167969,
-0.5115569233894348,
-0.1818971186876297,
-0.76199871301651,
-0.08303947001695633,
1.0330456495285034,
0.6722410321235657,
0.32903000712394714,
0.2466806024312973,
-0.12325415760278702,
0.6484984159469604,
-0.4664265215396881,
-0.15710464119911194,... |
This task is to translate a news commentary given in Italian language into Zhuang language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.
Q: Il G-20 è infatti oggi un forum della leadership internaz... | 2000年以来的住宅价格上涨更可能是源于建筑行业的供应瓶颈（无法足够迅速地满足市场的投资需要）并被（在某些地方将被）随之涌出的大量供应所抵消。相比之下农地的供应却没有增加，而激发人们投资热情广泛流传的故事正大行其道，正如1970年代的美国，一场类似的食品价格恐慌催生了上世纪唯一的一场农地价格泡沫。
****
| 4 | NIv2 | task1376_newscomm_translation | fs_opt | [
-0.46657711267471313,
0.8474878072738647,
-0.29417186975479126,
0.3103853464126587,
0.680560290813446,
-0.7029745578765869,
0.9739969968795776,
0.9546159505844116,
-0.7218654155731201,
0.2598016858100891,
-0.9108372330665588,
0.7198756337165833,
-1.0568735599517822,
-0.249146968126297,
-... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Ex Input:
Xente en liña e ás veces tamén na vida real irrespetuosos comigo e a miña familia, e dicían que todo isto era unha perda de tempo, e iso desanimoume de veras.
Ex Output:
インターネット上や実生活でさえ私や家族を蔑む人たちがいたのすべてが時間の無駄... | そんなに単純なことではありません
| 1 | NIv2 | task1239_ted_translation_gl_ja | fs_opt | [
-1.0518238544464111,
0.3099203109741211,
-0.25429755449295044,
-0.6363900899887085,
-0.1348746120929718,
-0.6650818586349487,
0.5057182312011719,
0.21625077724456787,
0.09793339669704437,
-0.40686002373695374,
-0.8913474082946777,
0.4563167691230774,
-0.7916418313980103,
0.0442936345934867... |
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.
Ex Input:
Who played the role of badri in badrinath ki dulhania?
Ex Output:
Which actor pla... | The last electron acceptor of the electron transport chain (etc) in aerobic cellular respiration is?
| 1 | NIv2 | task670_ambigqa_question_generation | fs_opt | [
0.012838657945394516,
0.8212460279464722,
-0.8505704402923584,
-0.6360458135604858,
-0.7217048406600952,
-0.36037546396255493,
1.494947910308838,
-0.24782517552375793,
0.2367183119058609,
-0.1020074337720871,
-0.31408944725990295,
0.1476970911026001,
-0.7863262891769409,
0.3545914888381958... |
Definition: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending ... | personal | 2 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.3095525801181793,
0.07096260786056519,
-0.11667568981647491,
0.0732310339808464,
-0.7652333974838257,
-0.19331754744052887,
0.7753402590751648,
-0.056288283318281174,
-0.1532885730266571,
-0.011113917455077171,
-0.8180583119392395,
-0.11039010435342789,
-0.17793342471122742,
0.059646829... |
Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Ex Input:
С тех пор Абдулла Бадави популя... | Portuguese
| 1 | NIv2 | task1370_newscomm_classification | fs_opt | [
0.4268016219139099,
-0.1591249257326126,
0.7082314491271973,
-0.30447036027908325,
-0.37691086530685425,
0.14723438024520874,
0.41696399450302124,
1.184140920639038,
0.5376686453819275,
-0.10762609541416168,
-1.1313711404800415,
0.34243476390838623,
-0.5984389185905457,
0.2482203245162964,... |
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.
Ex Input:
The s... | The professor introduced the tourist .
| 1 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.1579674780368805,
0.24109037220478058,
-0.16732946038246155,
-0.20912131667137146,
0.09701903909444809,
-0.7988605499267578,
0.5947122573852539,
0.1919836699962616,
0.7201759815216064,
-0.6548303365707397,
-0.9115918278694153,
-0.41318628191947937,
-0.5103771686553955,
-0.46875828504562... |
Detailed 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 translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:US secretary of state Condoleezza Rice has sai... | अमेरिकी विदेश मंत्री कोंडोलीज़ा राइस ने कहा है कि अमेरिका "इस कृत्य की निंदा करता है" और बेलारूस को राजनीतिक विरोध के बर्ताव पर स्वीकृत अंतरराष्ट्रीय सिद्धांतों के भीतर कार्य करने का आह्वान किया है। | 8 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
-0.6421036124229431,
0.6949173212051392,
0.0887237936258316,
0.37741562724113464,
0.08204616606235504,
-0.10861312597990036,
0.5104400515556335,
0.6076377630233765,
-0.04127834737300873,
0.26473966240882874,
-0.25828418135643005,
0.12555542588233948,
0.24223653972148895,
0.1869107931852340... |
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 | 3 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.4543684124946594,
-0.09917566180229187,
0.22123247385025024,
-0.06904006004333496,
0.003049653023481369,
-0.9369529485702515,
1.008284568786621,
0.4674631655216217,
-1.2325843572616577,
-0.31408876180648804,
-0.390302449464798,
-0.3894396424293518,
-0.5736790299415588,
0.1238516420125961... |
Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building ... | jump opposite right thrice and turn opposite left
| 3 | NIv2 | task127_scan_long_text_generation_action_command_all | fs_opt | [
0.42597338557243347,
0.688800573348999,
-0.5784939527511597,
0.06584911793470383,
0.06607845425605774,
-0.0033409767784178257,
0.25981903076171875,
0.7543693780899048,
-0.29150134325027466,
0.03408917784690857,
-0.6305080652236938,
-0.14734990894794464,
-0.5973470211029053,
-0.171070858836... |
Detailed Instructions: You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed ... | PersonX's bodywash smells better than that of PersonY, so _ continues to use this brand. | 4 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.8574104309082031,
0.25673630833625793,
-0.1868804544210434,
0.32154279947280884,
0.25030699372291565,
-0.7491330504417419,
0.8768429756164551,
0.9660933017730713,
-0.5198360681533813,
-0.5211174488067627,
-0.16344644129276276,
-0.11096879839897156,
-0.48441487550735474,
0.192835807800292... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
One example: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Solution is here: He who created pairs of everything, and fashioned for you boats and beasts o... | But if the people of these regions had believed and feared God, We would surely have showered on them blessings of the heavens and the earth; but they only denied, and We punished them for their deeds. | 6 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.5357009172439575,
0.7004621624946594,
-0.407725989818573,
-0.4541468620300293,
0.12310696393251419,
-0.12205888330936432,
0.8395521640777588,
0.3605775833129883,
-0.2348746359348297,
-0.2743940055370331,
-1.2056314945220947,
1.2502210140228271,
-0.6494737267494202,
0.5198490619659424,
... |
Given a command in a limited form of natural language, provide the correct sequence of actions that executes the command to thus navigate an agent in its environment. A command can be broken down into many different actions. Actions are uppercase and are individual steps that serve as the building blocks for a command.... | I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN I_TURN_LEFT I_RUN
| 5 | NIv2 | task126_scan_structured_text_generation_command_action_all | fs_opt | [
0.2584972083568573,
0.694901168346405,
-0.4193500876426697,
0.23586687445640564,
0.060222044587135315,
-0.18652835488319397,
0.056611452251672745,
0.3940436840057373,
-0.23035867512226105,
-0.0791439563035965,
-0.9596837759017944,
-0.059101492166519165,
-0.5034627318382263,
-0.171855375170... |
Detailed Instructions: In this task, you are given two strings A, B. Find the longest common substring in the strings A and B.
Q: sgSVVJPeBtTbanKtoCd, OGjPeBtTbanKjaXc
A: | PeBtTbanK | 9 | NIv2 | task600_find_the_longest_common_substring_in_two_strings | zs_opt | [
-0.046017490327358246,
1.4302760362625122,
-0.06687863916158676,
-0.1846412718296051,
0.2632395625114441,
-0.7270259857177734,
0.13730448484420776,
-0.9953968524932861,
0.08152776211500168,
-0.3628009259700775,
-0.16855476796627045,
-0.9913918375968933,
-0.574858546257019,
0.42205399274826... |
Instructions: In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Input: Sentence1: Steve was an accomplished carpenter. Senten... | Yes | 3 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
-0.1858205497264862,
0.3050640821456909,
0.28608644008636475,
-0.4027915596961975,
0.5535115003585815,
-0.39837902784347534,
0.39185580611228943,
0.5379883050918579,
0.5613176822662354,
0.2982636094093323,
0.03674628585577011,
-0.1406022310256958,
-0.3545193076133728,
0.24736233055591583,
... |
Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Portugese.
Input: قرأت حول برنامج حيث يمكنك ادخال مربع النتائج فيه من مباراة بيسبول أو كرة القدم ويخرج مقالة أخبار كما لو كان إنسان قد شاهد المباراة وكان يعلق على ذلك.
Output: | Eu li outro dia acerca dum programa em que se dá a pontuação dum jogo de basebol ou futebol americano e cospe um artigo de notícias como se um humano tivesse visto o jogo e o estivesse a comentar. | 3 | NIv2 | task1109_ted_translation_ar_pt | zs_opt | [
-0.17527692019939423,
0.2337079644203186,
-0.5037167072296143,
-0.1316213458776474,
0.1586020290851593,
0.4657871127128601,
-0.06341742724180222,
1.0751053094863892,
0.6096314191818237,
-0.10695139318704605,
-1.1867296695709229,
0.13612274825572968,
-0.2364148199558258,
0.46658599376678467... |
In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.
One example is below.
Q: A man is spreading shreded cheese on a pizza.
A: Un bărbat pune brânză mărunțită pe o pizza.
Rationale: In the given translation process, the tense of both s... | Starul 'Furios și Iute' Paul Walker moare în accident de mașină | 9 | NIv2 | task1436_ro_sts_parallel_language_translation_en_to_ro | fs_opt | [
-0.626571774482727,
0.5469406843185425,
0.5095837116241455,
-0.47881361842155457,
-0.20918786525726318,
-0.35697150230407715,
1.13139808177948,
1.128119707107544,
0.850608766078949,
-0.14135867357254028,
-0.24615511298179626,
0.7132606506347656,
-0.0265650637447834,
0.1799943745136261,
0... |
In this task, you have given an input which is user's command or question, based on that you have to return what will be Agent's response/reply for that particular user's command or question
One example is below.
Q: Hi Does R House have a full bar?
A: I'm unable to find whether R. House has a full bar. You'll have to c... | Let me know if there's anything else I can help you with. | 9 | NIv2 | task1603_smcalflow_sentence_generation | fs_opt | [
-0.0038001947104930878,
0.5196335911750793,
-0.22063595056533813,
0.5869849920272827,
0.29469791054725647,
-1.6653685569763184,
0.8342095613479614,
0.06197526305913925,
0.28660547733306885,
0.026244640350341797,
-0.19224244356155396,
-0.17342007160186768,
-0.6114904880523682,
0.74218511581... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Hebrew.
Problem:The green ocean has the same clean air, but forms a lot of rain.
Solution: | מעל האוקיינוס הירוק יש את אותו אויר נקי, אבל נוצר הרבה גשם. | 8 | NIv2 | task1221_ted_translation_en_he | zs_opt | [
-0.5245980620384216,
0.424742192029953,
-0.8421440124511719,
-0.9974813461303711,
-0.827647864818573,
-0.7700948119163513,
-0.6180790662765503,
0.15486961603164673,
0.6930956244468689,
0.27956268191337585,
0.09091012179851532,
-0.23087134957313538,
-0.49786147475242615,
-0.4416188597679138... |
Detailed Instructions: Find the movie name from the given conversation. If the movie name is not found give output as "unknown"
Q: ASSISTANT: What kind of movies do you like? , USER: I like comedy movies. , ASSISTANT: what do you like about comedy movies? , USER: Well, they're an escape from reality usually and they ma... | Joe Somebody | 9 | NIv2 | task926_coached_conv_pref_word_generation | zs_opt | [
-0.46942490339279175,
0.5765202641487122,
-0.776655912399292,
-0.19224116206169128,
-0.3425069749355316,
0.1399744153022766,
1.124955415725708,
0.2875533103942871,
-0.2505417466163635,
-0.20574411749839783,
-0.31938308477401733,
-0.8029779195785522,
-0.9206993579864502,
-0.0896078795194625... |
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