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 |
|---|---|---|---|---|---|---|
Given a paragraph in Spanish, your job is to generate a spanish question that can be answered from the passage. The answer to your question should be a single entity, person, time, etc. that can be extracted from the passage.
One example is below.
Q: Hay un millón de veces más virus en el planeta que estrellas en el un... | ¿Qué preocupa perder a los ambientalistas en la selva amazónica? | 9 | NIv2 | task1611_xquad_es_question_generation | fs_opt | [
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0.1988379806280136,
-0.4590216279029846,
-0.4110371470451355,
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-0.38202154636383057,
0.18600966036319733,
-0.8091708421707153,
0.5323624610900879... |
Detailed Instructions: Given news headlines and an edited word. The original sentence has word within given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Classify news headlines into "Funny" and "Not Funny" that have been modified by humans using an edit word to make t... | Not Funny | 8 | NIv2 | task495_semeval_headline_classification | zs_opt | [
0.3502379059791565,
-0.007334000896662474,
0.06681891530752182,
-0.5455547571182251,
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-0.6751285791397095,
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-0.5416814088821411,
0.26618528366088... |
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 question in English, and your task is to translate it into Persian.
How do I look up my pay stubs for McDonald's?
Solution: چگونه می توانم خرده فروشی های خود را برای مک... | آیا بین درک آسیای شرقی از زیبایی در مقایسه با آسیای جنوب شرقی تفاوت هایی وجود دارد؟ | 0 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
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0.11370284110307693,
0.07484528422355652,
-0.5047175884246826,
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1.0291646718978882,
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-0.22092999517917633,
-0.3620273172855377,
-0.04108544811606407,
0.3471256196498871,
... |
Instructions: Read the given text and if it has abusive content then indicate via "yes". Otherwise indicate via"no".
We consider the content to be abusive if it contains any of the following instances: (1) Identity Directed Abuse (e.g., Content which contains a negative statement made against an identity. An identity ... | no | 3 | NIv2 | task108_contextualabusedetection_classification | zs_opt | [
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-0.7843268513679... |
Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Input: در سالهایی که جوانتر و به ناچار آسیب پذیرتر بودم پدرم پندی به من داد که آن را تا به امروز در ذهن خود مزه مزه میکنم.
Output: | In my younger and more vulnerable years my father gave me some advice that I've been turning over in my mind ever since. | 3 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
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-0.3263261914253235,
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1.0614233016967773,
0.8969255685806274,
0.6388174295425415,
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-0.6835848093032837,
0.7863339185714722,
-1.3437132835388184,
0.17087212204933167,
... |
Given a sentence in Chinese, generate a new Chinese 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... | 一国可以是e国。 | 6 | NIv2 | task412_mickey_zh_sentence_perturbation_generation | fs_opt | [
0.1527945101261139,
0.20450705289840698,
-0.3940257430076599,
-0.00028337596450001,
0.07534721493721008,
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0.11432068049907684,
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-0.026117160916... |
You will be given a context and a verb separated with a newline character. You have to identify if the given verb implies an opinion, an intention, a wish or not. Please note that a verb refers to an intention only if it refers to an event planned to happen in the future and is not conditional (or part of a condition).... | No | 3 | NIv2 | task456_matres_intention_classification | fs_opt | [
0.567185640335083,
0.4734851121902466,
-0.11567899584770203,
0.11625917255878448,
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-0.0079621747136116... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Jesteśmy teraz w latach 60.
We're now right into the 1960s.
"" Jestem psem, którego uśpiłeś jak zwykłeś nazywać zastrzyk zapomnienia wróciłem by powiedzieć ci prostą rzecz nigdy cię nie lubiłem "" (Śmiech) "" Kiedy lizałem ... | That's twice the country's health and education budget combined.
| 0 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.6081342697143555,
1.1349551677703857,
0.39721202850341797,
-0.7724542617797852,
-0.5516782402992249,
-1.2406972646713257,
0.9332818984985352,
-0.3785494565963745,
0.33326613903045654,
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0.2105083465576172,
0.9261437654495239,
-0.770988941192627,
-0.027816109359264374,
... |
Detailed Instructions: 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 is same as that of alphabets in the list, answ... | Alphabets Win | 9 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.1917409896850586,
0.47790974378585815,
-0.42248380184173584,
-0.14446064829826355,
-0.3960988521575928,
-0.6339015960693359,
0.822582483291626,
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-0.062480200082063675,
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-0.41237354278564453,
0.4095184803... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Noi pensiamo che in condizioni di stress i livelli di questi ormoni diminuiscano — ad esempio quando c'è penuria di cibo.
Output: | Pero baixo condicións de estrés, parece que os niveis destas hormonas diminúen; por exemplo, tendo unha fonte limitada de alimento. | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.6449500322341919,
0.7500921487808228,
-0.8980453610420227,
-0.9264147877693176,
-0.4595245122909546,
-0.9690722227096558,
0.13923673331737518,
1.7429720163345337,
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-0.6558129191398621,
-0.7915864586830139,
-0.5747849941253662,
-1.5682532787322998,
0.3992789387702942... |
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Arabic language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: أين يمكنك شراء علبة صودا بجانب ... | E | 5 | NIv2 | task1142_xcsr_ar_commonsense_mc_classification | zs_opt | [
-0.3884045481681824,
0.42879390716552734,
-0.10987983644008636,
-0.4081243872642517,
-0.5996612906455994,
0.5021771192550659,
0.7475074529647827,
0.3241822123527527,
0.2384871542453766,
-0.32319211959838867,
-0.5030896067619324,
0.34302496910095215,
-0.38713306188583374,
-0.633249938488006... |
In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
One example is below.
Q: [5797, 8817, '8297', 'b', 'U', 'b'], [5843, 8809, '8297', 'b', 'W', 'C']
A: 8297, b
Rationale: Here, '8297, b' is the longest common subsequence in both the input lists [5797, 8817, '8297', 'b',... | 6039, 5989, v, 489, U, 9151, h, 9679, s, J, 9317, 9709, 7031, f, 4927, i, 7907, K, 7217, 495, y, A, 3549, v, q | 9 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | fs_opt | [
-0.12759190797805786,
0.11814911663532257,
-0.2958855628967285,
-0.5997462272644043,
-0.045014169067144394,
-0.28272631764411926,
0.45718079805374146,
0.9557002186775208,
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0.2991490364074707,
-0.6746397018432617,
0.47133636474609375,
-0.05273318290710449,
0.66047453880... |
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 fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | HYPH | 9 | NIv2 | task584_udeps_eng_fine_pos_tagging | fs_opt | [
0.09874476492404938,
0.375296026468277,
-0.11043339967727661,
0.28789517283439636,
-0.12901407480239868,
-0.5259081125259399,
0.5642516613006592,
1.0679255723953247,
-0.6010000705718994,
-0.25256216526031494,
-0.07641850411891937,
0.21684280037879944,
-0.15019850432872772,
0.03764845430850... |
A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
--------
Question: अशाप्रकारे, नवीन भारत उदयास येत आहे जो आधुनिक, स्पर्धात्मक आणि तरीही काळजी घेणारा असेल;
Answer: বর্তমান বিশ্বে আমরাই হলাম দ্রুততম গতি... | এতদিন পর্যন্ত আমাদের পরাক্রমী শহীদ পুলিশকর্মীদের স্মৃতিতে কোনও জাতীয় পুলিশ স্মারক কেন ছিল না?
| 7 | NIv2 | task1062_pib_translation_marathi_bengali | fs_opt | [
-0.28466954827308655,
0.5749748349189758,
0.21463114023208618,
0.041888393461704254,
-0.3689424991607666,
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-0.3506765365600586,
0.29239439964294434,
-0.06503027677536011,
-0.08715491741895676,
-0.717025101184845,
0.030352912843227386,
-0.35257482528686523,
0.0322357937... |
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 ("[]") should be returned.... | [-292, -303, -484, 838] | 4 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.7958585023880005,
0.08021169900894165,
-0.3530331254005432,
-0.35530054569244385,
-0.3254431486129761,
0.34735703468322754,
0.9048490524291992,
-0.06140003353357315,
-0.4351077675819397,
-0.08227263391017914,
-0.5794165134429932,
-0.01350369956344366,
-0.24621233344078064,
-0.0655512362... |
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 the same order as the internal lists.
Q: [[-96, -2, -12, ... | [24, 76, 68] | 4 | NIv2 | task207_max_element_lists | zs_opt | [
-0.19086354970932007,
0.053833916783332825,
-0.7665636539459229,
0.03974384814500809,
0.26441314816474915,
0.3320913016796112,
0.6988076567649841,
-0.007442574482411146,
-0.2060706615447998,
-0.2331702560186386,
-0.2674312889575958,
0.34025734663009644,
0.014030901715159416,
0.114728927612... |
TASK DEFINITION: In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political dep... | political
| 8 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
0.11983895301818848,
0.44935131072998047,
-0.30971086025238037,
0.7419952154159546,
-1.0005007982254028,
-0.555057168006897,
0.9159836769104004,
0.7663707733154297,
-0.7927759289741516,
-0.0758032500743866,
-0.6429877281188965,
0.07496758550405502,
0.05796310678124428,
-0.08460313081741333... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
See one example below:
Problem: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Solution: وقتی به این جا... | خوب ، آنچه که این به ما می گوید این است که بر خلاف این ضرب المثل قدیمی که ، "میمون می بیند ، میمون انجام می دهد ،" مساله تعجب آور این است که دیگر حیوانات واقعا "" نمی تواند این کار را انجام دهند — حداقل نه خیلی. | 4 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-0.6030074954032898,
0.9802838563919067,
-0.4401487708091736,
-0.3409300744533539,
-0.2531360387802124,
-0.20492875576019287,
0.3813380300998688,
0.9931004047393799,
-0.23967474699020386,
0.061726491898298264,
-1.493858814239502,
0.3957228660583496,
-0.6428018808364868,
0.18200665712356567... |
Part 1. Definition
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Part 2. Example
The debate is closed.
Answer: Jag förkla... | Så länge man inte utkräver något ansvar av de som äger lasten, mina damer och herrar, så kommer dessa problem enligt mig inte att kunna lösas. | 7 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
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0.5174176692962646,
0.6335989236831665,
-0.6328067779541016,
0.13904505968093872,
-0.37152916193008423,
1.0899544954299927,
-0.0049408674240112305,
0.5272166132926941,
-0.09584975242614746,
-0.01885993406176567,
0.8625611066818237,
-0.8722156882286072,
0.0866169556975... |
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