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're given five sentences, numbered 1 through 5. Your job is to generate a title for the story that makes complete sense. The title must be short, with less than three words, use simple language, and include the main topic of the story.
Let me give you an example: Sentence 1: Marcus needed clothing for... | Hammer | 8 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.10745080560445786,
0.8409244418144226,
-0.3302152454853058,
-0.4513176679611206,
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0.6478649377822876,
-0.7579135298728943,
0.033335790038108826,
-0.4965338706970215,
0.1498125791549682... |
A text is given in Gujarati. Translate it from the Gujarati language to the Tamil language. The translation must not omit or add information to the original sentence.
Let me give you an example: நண்பர்களே, இன்று இந்தத் தருணத்தில், ஜம்மு - காஷ்மீர் மக்களின் பாதுகாப்புக்காக நிறுத்தப்பட்டுள்ள பாதுகாப்புப் படைகளைச் சேர்ந்... | જે રીતે કેળાના થડને છોલવામાં આવે તો પાંદડાની નીચે પાંદડું, પછી પાંદડાની નીચે પાંદડું અને અંતમાં કંઈ નથી નીકળતું, પરંતુ સમગ્ર ઝાડ નાશ પામે છે, તે જ રીતે માણસને પણ જાતિઓમાં વહેંચવામાં આવ્યો છે અને માણસ માણસ નથી રહ્યો. | 8 | NIv2 | task1064_pib_translation_tamil_gujarati | fs_opt | [
-0.2864183783531189,
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-0.1211545467376709,
0.29586368799209595,
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-0.6792256832122803,
0.257567226886... |
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: If dopey... | yes
| 8 | NIv2 | task242_tweetqa_classification | fs_opt | [
-0.3552502393722534,
0.010089412331581116,
-0.030890341848134995,
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-0.20418590307235718,
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0.3396762013435364,
-0.18013456463813782,
0.1072700247168541,
-0.5139446258544922,
0.4900083243... |
In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Example: I declare resumed the session of the European Parliament adjourned on Friday 17 December 1999, and I w... | Solution: Debemos restablecer ese instrumento y debemos hacer que las normas sean muy estrictas para que sólo en situaciones en las que ocurran desastres graves recurramos a ese instrumento determinado. | 5 | NIv2 | task530_europarl_en_es_translation | fs_opt | [
-0.3203624486923218,
0.8161001205444336,
-0.2514505982398987,
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-... |
In this task, you're given context and an answer. Your task is to generate the question for this answer based on the given context with commonsense reasoning about social situations..
Context: Aubrey decided to be a stay at home parent and educate their children in home school.
Answer: help them with getting into co... | What will Aubrey want to do after? | 0 | NIv2 | task581_socialiqa_question_generation | zs_opt | [
-0.0456647127866745,
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... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Problem:Ovviamente, ci sono volte in cui le cose non funzionano.
Solution: | もちろん上手くいかないこともありました | 8 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.2492494434118271,
0.5050276517868042,
-0.8565315008163452,
0.8908300995826721,
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0.036440666764974594,
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-0.8841775059700012,
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0.26017916202545166,
-0.4848203659057617,
-0.4114493727684021,
0.33729228377342224,... |
This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of... | SIMILAR
****
| 4 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.21487577259540558,
-0.1756269335746765,
-0.015291808173060417,
-0.341974139213562,
0.16980533301830292,
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0.05281028151512146,
1.232177734375,
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-0.41716426610946655,
0.2342257499694824... |
You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "ac... | acceptable | 0 | NIv2 | task616_cola_classification | zs_opt | [
-0.19170603156089783,
0.7885438203811646,
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Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Input: ¡Las lombrices están creciendo centímetros por semana!
Output: | התולעים גדלות בסנטימטרים לשבוע! | 2 | NIv2 | task1229_ted_translation_es_he | zs_opt | [
-0.6770455241203308,
0.7000595331192017,
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-0.3185735046863556,
-0.6500325202941895,
0.2218029499053955,
-0.6772896647453308,
0.1071390956640243... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Pełen wiary powiedziałem, wierzę Mu, i zagościł w moim sercu, i zmienił moje życie.
Output: | אבל באמצעות האמונה אמרתי, אני מאמין בו, והוא נכנס לליבי ושינה את חיי. | 1 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
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1.1065832376480103,
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0.2700592875480652,
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0.13720296323299408,
... |
Teacher:In this task you will be given an arithmetic operation in Italian and you have to find its answer. The operations 'addition' and 'subtraction' have been replaced with their italian translations i.e you need to perform addition when you see 'aggiunta' and subtraction in case of 'sottrazione'.
Teacher: Now, under... | -9269 | 6 | NIv2 | task086_translated_symbol_arithmetic | zs_opt | [
-0.1358191967010498,
0.6874918937683105,
-0.24682527780532837,
-0.2199743688106537,
-0.5082584619522095,
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0.4390251636505127,
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-1.0375967025756836,
-0.7076963186264038,
-0.4725525975227356,
0.402022004127502... |
Part 1. 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 even 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 even numbers in an... | [-26, 66000, 0, 384, -2112, 10240, -26] | 7 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.4430024027824402,
-0.11068905144929886,
-0.773280143737793,
0.007191878277808428,
0.4765496850013733,
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1.0787553787231445,
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-1.111948013305664,
-0.006324180401861668,
-0.407667875289917,
-0.5773356556892395,
... |
This task is about identifying the object of a given sentence. The object of a sentence is the person or thing that receives the action of the verb. It is the who or what that the subject does something to. Each sentence in this task is guaranteed to contain a single object. The input is a sentence and the output is th... | Solution: Joe Buhdha | 5 | NIv2 | task1413_dart_object_identification | fs_opt | [
-0.2815166711807251,
0.7668182849884033,
0.3806699216365814,
0.029240187257528305,
-0.42852920293807983,
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0.09759096801280975,
-0.8809195160865784,
0.11705467104911804,
-0.6853516101837158,
0.3422192335128784,... |
In this task, you are given dvd product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
[EX Q]: Unfreiwillige SitCom . Ein absoluter Erotik-Klassiker. Sagt man. Immer wieder. Auch ... | POS
| 6 | NIv2 | task480_cls_german_dvd_classification | fs_opt | [
0.4250306785106659,
0.20844502747058868,
-0.622078537940979,
0.0957711711525917,
0.33908575773239136,
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1.2647570371627808,
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0.14942164719104767,
-0.2492734044790268,
-0.3547995090484619,
-0.23353250324726105,
... |
In this task, you're given a context passage. Your job is to generate relevant questions that can be answered by directly referring to the passage.
--------
Question: I hadn't seen him in a couple of months but my boy was back last night and he was on FIRE . Absolutely flawless performance . Tears . In my eyes .
Answe... | Why did he have to do what he had to do to maintain his family ?
| 7 | NIv2 | task596_mocha_question_generation | fs_opt | [
0.9380582571029663,
0.5796247124671936,
-0.16645807027816772,
0.14409802854061127,
0.17788377404212952,
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0.3463436961174011,
-0.14774402976036072,
0.41306349635124207,
-0.8585454225540161,
0.472245454788208,... |
Definition: Given a sentence in Chinese, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Input: 在特定搜索树中搜索二进制密钥可以递归地或迭代地编程。
Output: | La recherche d'un arbre de recherche spécifique en fonction d'une clé binaire peut être programmée de manière récursive ou itérative. | 2 | NIv2 | task809_pawsx_chinese_french_translation | zs_opt | [
-0.9241384267807007,
-0.05841858312487602,
-0.22714878618717194,
0.2452782839536667,
-0.04268763214349747,
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-0.07718481868505478,
0.8338945508003235,
0.5372427701950073,
-0.12235525250434875,
-1.2566587924957275,
-0.32017379999160767,
-0.04884839430451393,
0.62478327751... |
Detailed Instructions: In this task, you are given dvd product reviews in Japanese language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Problem:同情の余地は・・・ . やってくれるぜデイブ！・・・というのが見終わった今の素直な感想。 意志か病気かのくだりは俺には言... | NEG | 8 | NIv2 | task486_cls_japanese_dvd_classification | zs_opt | [
0.2297428995370865,
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1.3032472133636475,
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0.7330352067947388,
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... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Q: E i vaccini sono la nostra migliore difesa.
A: | واللقاحات هي أفضل سَبل الدفاع والوقاية. | 9 | NIv2 | task1250_ted_translation_it_ar | zs_opt | [
-0.2090897560119629,
1.234572172164917,
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-0.41808873414993286,
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-0.7456728219985962,
0.1755654662847519,
-1.2366338968276978,
0.269848108291626,
... |
You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) should be unambiguous.
... | surprise
| 0 | NIv2 | task1663_cedr_ru_incorrect_classification | fs_opt | [
-0.7796677350997925,
0.09036802500486374,
0.23819632828235626,
0.20510134100914001,
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-0.26786285638809204,
0.233428806066... |
Q: In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: After 10 seasons wearing th... | No | 7 | NIv2 | task310_race_classification | zs_opt | [
0.4551657736301422,
-0.035904623568058014,
-0.8251304626464844,
0.8881403207778931,
0.19045813381671906,
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-0.2981578111648559... |
Detailed Instructions: 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.
Problem:Personality: I was born in Kansas.
I love chickens.
I know how... | I have always lived on a farm. | 8 | NIv2 | task1730_personachat_choose_next | zs_opt | [
-0.15641888976097107,
0.5326510071754456,
-0.037255316972732544,
0.12423558533191681,
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0.30804941058158875,
-0.41650545597076416,
-0.28536751866340637,
0.13954989612102509,
0.195068061351... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two... | English | 1 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.33814549446105957,
0.6900138854980469,
0.6807386875152588,
-0.204778790473938,
0.0188349150121212,
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0.11634865403175354,
-0.055173695087432... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Italian.
See one example below:
Problem: Aquí esta la medusa ala-x de la muerte.
Solution: Qui c'è la medusa mortale con le ali ad X.
Explanation: The Spanish sentence is correctly translated into Italian, bec... | E mia madre ha deciso che questa informazione deve essere arrivata da mia nonna. | 4 | NIv2 | task1101_ted_translation_es_it | fs_opt | [
-0.23516909778118134,
0.4662070870399475,
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0.16739116609096527,
-0.8841326236724854,
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0.743395209312439,
1.2566304206848145,
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0.32671529054641724,
-0.3081311583518982,
0.8320136666297913,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further informati... | On 28 January 2009, Japan announced its intention of sending a naval task force to join international efforts to stop piracy off the coast of Somalia | 1 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
0.5036801099777222,
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0.8704531192779541,
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0.05798846483230591,
-0.07839260995388031,
-0.6911541223526001,
0.4441071152687073... |
instruction:
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 qu... | Question: What did Qin Shihuang started to build for himself ?, Answer: Qin Shihuang the first emperor of China started to build a royal tomb for himself
| 9 | NIv2 | task182_duorc_question_generation | fs_opt | [
0.549095869064331,
0.43061137199401855,
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0.2942967712879181,
0.6252884864807129,
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0.2537078857421875,
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0.2914487421512604,
... |
Teacher:In this task you are given a tweet that contains some form of irony. You must classify the type of irony the tweet has. Label the tweets ("polarity","situational","other") based on the irony they have. Situational irony happens when a situation fails to meet some expectations, Label these instances as "situatio... | situational | 6 | NIv2 | task387_semeval_2018_task3_irony_classification | zs_opt | [
-1.490485429763794,
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-0.4234059751033783,
-0.17263281345367... |
Detailed Instructions: The input is a sentence with a missed word and an emotion. Your task is to fill in the blank with a word that matches the emotion and rewrite the completed sentence. The emotion is one of ['fear', 'joy', 'anger', 'sadness'].
See one example below:
Problem: SENTENCE: Alphonso feels <blank>.
EMOTI... | Leroy found himself in a hilarious situation. | 4 | NIv2 | task1339_peixian_equity_evaluation_corpus_text_completion | fs_opt | [
-0.1021503433585167,
0.20935678482055664,
0.327109158039093,
-0.6491180062294006,
-0.20024403929710388,
-0.6876431703567505,
1.4108809232711792,
0.5136128067970276,
0.13893042504787445,
-0.3701641857624054,
-0.06667149066925049,
-0.11712132394313812,
-0.2993221879005432,
0.5865393877029419... |
Given the task definition and input, reply with output. You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on... | Clothes and other things | 5 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
0.0355648472905159,
0.5884222388267517,
-0.4621918797492981,
0.5390631556510925,
-0.08539293706417084,
-0.2858312129974365,
0.2977992296218872,
1.0118000507354736,
-0.5446486473083496,
-0.05493369698524475,
-0.4891030192375183,
-0.12523312866687775,
-0.38316506147384644,
-0.375041067600250... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 4 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.11959163099527359,
0.15945005416870117,
-0.5540799498558044,
-0.13227896392345428,
-0.1245972290635109,
-0.8030834794044495,
0.8433787822723389,
1.4345088005065918,
0.7749128937721252,
-0.22449952363967896,
-1.1740021705627441,
0.0702228769659996,
-0.533172607421875,
0.005875138100236654... |
Definition: In this task, you need to Translate Czech text to English.
Input: Variabilní smerové natácení kol je umožneno pomocí statoru (1) elektromotoru, který je pevne spojen s rámem a pomocí rotoru (2) elektromotoru, jenž je spojen s drážkovaným nábojem (3). Mezi drážkovanou maticí (4) a drážkovaným nábojem (3) je ... | The variable directional rotation of the wheels is made possible by the stator (1) of the electric motor, which is fixedly connected to the frame and by the rotor (2) of the electric motor, which is connected to the grooved hub (3). Between the grooved nut (4) and the grooved hub (3) there is a form-fit that is formed ... | 2 | NIv2 | task842_para_pdt_cs_en_translation | zs_opt | [
-0.7713611125946045,
-0.19124409556388855,
-0.03485725447535515,
0.2455643266439438,
-0.42048180103302,
0.6116025447845459,
0.6573632955551147,
1.2972960472106934,
-0.0850914940237999,
0.05517719313502312,
-0.2351662814617157,
0.24053414165973663,
0.41061118245124817,
-0.12592625617980957,... |
You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
Q: 1634:_The_Bavarian_Crisis | author | Eric_Flint
Eric_Flint | influenc... | The 11th Mississippi Infantry Monument stands in Gettysburg, in Adams County, Pennsylvania. The American monument, built in 2000 is classed as a Contributing Property.
****
| 4 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.1542629450559616,
-0.3683612644672394,
0.32149040699005127,
0.033279821276664734,
0.11480057239532471,
-0.703772783279419,
0.4966875910758972,
0.9170315265655518,
-0.2478504478931427,
0.3508482575416565,
-0.10961838811635971,
0.513745903968811,
-0.834243893623352,
-0.5404937863349915,
... |
You are given a statement written in Assamese. 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 .
Ex Input:
Statement: আহোম ৰাজত্বৰ কালতেই অসমৰ <MASK>ত কাঁহ-পিতল শিল্পৰ বিকশিত হ’বলৈ ধৰিছিল। বহু ইতিহাসবিদে ক’ব ... | বিহাৰ
| 1 | NIv2 | task944_wiki_cloze_as_multiple_choice_question_answering | fs_opt | [
0.5093791484832764,
0.37491047382354736,
-0.4138391613960266,
0.08896239846944809,
0.41373687982559204,
-0.5501861572265625,
-0.23502042889595032,
0.9644166231155396,
-0.1476079821586609,
0.03041989356279373,
-0.004504179581999779,
0.5988225936889648,
0.04485742375254631,
-0.33703485131263... |
Definition: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: When was the IPCC no the Special Report on Renewable Energy Sources and Climate Change Mitigation (SRREN) issued?
Output: | When was the Special Report on Renewable Energy Sources and Climate Change Mitigation (SRREN) issued? | 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.5720450282096863,
1.1842364072799683,
0.43211087584495544,
-0.40549176931381226,
-0.3906334340572357,
-0.2259543091058731,
0.09887963533401489,
0.4167208671569824,
0.4135562777519226,
-0.2726280093193054,
-0.24792642891407013,
-0.32163265347480774,
-0.8992628455162048,
0.068860948085784... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Anti-stereotype | 6 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
-0.011526623740792274,
0.5397811532020569,
-0.49766039848327637,
0.1269243061542511,
-0.13697053492069244,
-0.19624188542366028,
0.32968175411224365,
0.7378948926925659,
0.4906380772590637,
-0.7420785427093506,
-0.8933594226837158,
0.1992432177066803,
-0.767231822013855,
-0.280225783586502... |
Given the task definition and input, reply with output. In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
Someday, the ground under the pile of rotting grain in the field will be (A) barren (B) a hole (C) more fert... | C | 5 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-0.507243812084198,
0.8532356023788452,
-0.1084844172000885,
0.22321927547454834,
-0.527776837348938,
-0.5093327760696411,
0.31836968660354614,
0.7419843077659607,
-0.09354035556316376,
0.011140186339616776,
-1.0461801290512085,
-0.38976168632507324,
0.3121880888938904,
0.05256474763154983... |
Given the task definition and input, reply with output. You are given a sentence in Persian. Your job is to translate the Farsi sentence into English.
فیزیوتراپ من برای تراپی مخصوصم برنامه ای را تنظیم کرده.
| My physical therapist has already set up a schedule for my particular therapy. | 5 | NIv2 | task1265_ted_translation_fa_en | zs_opt | [
-0.30685991048812866,
0.5786011219024658,
0.10230059176683426,
-0.19925320148468018,
-0.5445355176925659,
0.039412721991539,
0.5604000091552734,
0.2675185203552246,
0.663993239402771,
-0.6243777275085449,
-0.5105429887771606,
0.5136425495147705,
-0.5442710518836975,
0.3006890118122101,
0... |
Detailed Instructions: Given reviews from Amazon, classify those review based on their content into two classes: Negative or Positive.
Problem:There are many good Muslims. Unfortunately, the author, Mr. Mamdani is not one of them. He is one of those verbal terrorists who continues to blame America and Israel for his ow... | Negative | 8 | NIv2 | task493_review_polarity_classification | zs_opt | [
0.18104825913906097,
-0.3296470046043396,
0.533504068851471,
-0.9201004505157471,
0.043363187462091446,
0.03419340029358864,
1.2232919931411743,
0.17265526950359344,
0.7351789474487305,
0.7482953071594238,
-1.2622785568237305,
-0.10637395083904266,
-1.15374755859375,
-0.37806665897369385,
... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.
Ex Input:
ما هو الشئ الجيد في بناء بدون كربون ، مجمع كفؤ في إستخدام الطاقة ، عندما يكون العُمّال الذين ينتجون هذه التحفة المعمارية غير أخلاقي في أحسن الأحوال ؟
Ex Output:
چه نفعی در این وجود دارد که یک مجموعه کربن-صفر با انرژ... | یکی از آنها این تابلوی سبک اسکرچ است.
| 1 | NIv2 | task1108_ted_translation_ar_fa | fs_opt | [
0.018026292324066162,
0.3372850716114044,
-0.6739829778671265,
0.12682567536830902,
0.07630957663059235,
-0.2996358573436737,
0.27641746401786804,
0.1413579285144806,
-0.2228357046842575,
0.47277575731277466,
-0.939996063709259,
0.5057195425033569,
0.3417856991291046,
0.28100478649139404,
... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
[EX Q]: Quindi un paio di giorni dopo la diagnosi, siamo andati in Vermont, e ho deciso di mettere Jeff come prima persona nel comitato dei papà.
[EX A]: さてガンの診断が出てから数週間後ぼくたちはバーモント州に行きジェフを父親団の最初のメンバーにすることにしました
[EX Q]: E ... | そうですねがっかりする人もいますねでもそれは彼らの問題であなたの問題ではありません
| 6 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.3846805691719055,
-0.3831860423088074,
-0.475574791431427,
0.08703501522541046,
-0.662280261516571,
-0.646977424621582,
0.5176336765289307,
0.6064683794975281,
-0.39851275086402893,
-0.2587883472442627,
-0.30776795744895935,
0.7126021981239319,
-0.2949790954589844,
0.4924813508987427,
... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Hebrew.
Q: Hay muchos aspectos obvios en los que nuestras vidas son mucho más felices que las de las pequeñas sociedades tradicionales.
A: יש הרבה מובנים בהם חייהם כיום מאושרים יותר מאלו של חברות קטנות ומסורתיות.
****
Q: Muchos de... | ככל שהם גדלים, כך הם יודעים שבמשפחתנו אנו מאמינים באחריות. שאנו נמצאים במצב שלא ייאמן רק מלחיות בארה "" ב ולזכות בחינוך מעולה, ויש לנו אחריות לתת לעולם בחזרה.
****
| 4 | NIv2 | task1229_ted_translation_es_he | fs_opt | [
-0.7682114839553833,
0.7644447088241577,
0.4930098354816437,
-0.5998731851577759,
-0.5800061821937561,
-0.6033549308776855,
0.7778795957565308,
0.12753605842590332,
0.7446934580802917,
-0.31518036127090454,
-0.6717854738235474,
0.40320539474487305,
-0.6974928379058838,
0.13125677406787872,... |
Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
Example: Review: Easy p... | Solution: True | 5 | NIv2 | task494_review_polarity_answer_generation | fs_opt | [
-0.3220909833908081,
0.0934910997748375,
0.17447471618652344,
-0.4486914277076721,
0.44775402545928955,
-0.6695870161056519,
0.9978107810020447,
0.33582186698913574,
0.5537525415420532,
0.5642532110214233,
-0.18781057000160217,
0.2952733635902405,
-0.4738199710845947,
-0.40928587317466736,... |
TASK DEFINITION: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
PROBLEM: רבות מהן עסקו במכונית.
SOLUTION: Moitas tiñan que ver cun coche.
PROBLEM: תנו לי ראשית להסביר איך רוזרו בעצם שומר על שיווי משקל.
SOLUTION: Primeiro, explicareivos como mantén o equilibrio Rezero.... | Non queremos chegar a unha situación, (Risos) na que demasiado sexo leve á privaciónd de sono. (Risos)
| 8 | NIv2 | task1110_ted_translation_he_gl | fs_opt | [
-0.49742138385772705,
0.3488727807998657,
0.32395291328430176,
-0.5829718112945557,
-0.6126217842102051,
0.1838461458683014,
0.9178838729858398,
0.05149204283952713,
0.05282895267009735,
-0.6469072699546814,
-0.6235126852989197,
-0.15000475943088531,
-1.005528450012207,
0.4759103059768677,... |
Detailed Instructions: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides... | 6.0 inches | 4 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
0.3217301666736603,
0.9640032052993774,
0.12307123094797134,
0.14445269107818604,
0.2499152421951294,
-0.47893375158309937,
-0.06597958505153656,
0.8331301808357239,
0.697216808795929,
-0.25645938515663147,
-0.0558425635099411,
0.36695677042007446,
-0.5938248038291931,
-0.22336243093013763... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
[Q]: و به زودی پس از چند ماه فعالیت برای گردآوری دستنوشتهای داستانهای کوتاه روزنامهای را آغاز خواهد کرد،
[A]: and that some months would elapse before it would be in the market again for manuscripts.
[Q]: در پایان صف... | This was done by dumping them into a spinning receptacle that went at a rate of a few thousand revolutions a minute,
| 5 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-1.2172106504440308,
0.53116375207901,
-0.6449957489967346,
-0.5485997200012207,
-0.5473871231079102,
0.6865276098251343,
0.31681209802627563,
0.3113694489002228,
0.3982710838317871,
-0.16539119184017181,
-0.4299165606498718,
0.18076367676258087,
0.12152205407619476,
0.3280298411846161,
... |
In this task, you are given a post in English from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as... | Hateful | 6 | NIv2 | task333_hateeval_classification_hate_en | fs_opt | [
-0.6428866386413574,
-0.05745456740260124,
0.6994404792785645,
0.6825176477432251,
0.14490516483783722,
-1.014750361442566,
0.8051962852478027,
1.1530020236968994,
0.21875479817390442,
0.3736917972564697,
0.025743892416357994,
-0.032888226211071014,
-0.28350335359573364,
-0.844069540500640... |
Detailed Instructions: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following:... | No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,No emotion,happiness,happiness | 4 | NIv2 | task1532_daily_dialog_emotion_classification | fs_opt | [
0.2714441418647766,
0.30006909370422363,
-0.4024457335472107,
-0.9147917032241821,
-0.07171746343374252,
-0.7511104345321655,
1.0326098203659058,
0.09672240167856216,
0.015259673818945885,
-0.044383373111486435,
-0.6434726715087891,
-0.2980811297893524,
-0.8816606998443604,
0.3195573389530... |
Detailed Instructions: Given a review text from amazon and its polarity (either positive or negative). Generate answer "True" if given sentence and its polarity match, otherwise generate answer "False". A review is considered positive if the reviewer is satisfied with the product. Otherwise, it is considered negative.
... | False | 8 | NIv2 | task494_review_polarity_answer_generation | zs_opt | [
-0.24232164025306702,
0.026411272585392,
0.4892033338546753,
0.3404371738433838,
0.6224641799926758,
-1.4515804052352905,
1.1284027099609375,
0.3747861087322235,
0.2583281397819519,
0.685206413269043,
-0.5189858675003052,
0.057906024158000946,
-0.2737695276737213,
-0.36733001470565796,
-... |
Detailed Instructions: In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Problem:KIEV, Ukraine (AP) — Russia pressed hard Monday for Ukrainian politicians to return to the Feb. 21 agreement that promised a new unity government — with fugitive Pr... | Russia is hitting back at earlier reports that it had issued an ultimatum to Ukraine, with RT quoting a Defense Ministry spokesman as saying it's "total nonsense." "We’re interested in keeping friendly relations with the people of Ukraine and in preserving stability," another defense source says. Interfax first publish... | 8 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.4742475748062134,
0.14579755067825317,
-0.8825036287307739,
-0.8209637403488159,
0.8163710832595825,
-0.22972476482391357,
0.8672978281974792,
1.094027042388916,
-0.38370656967163086,
0.646302342414856,
0.14668652415275574,
0.6546985507011414,
0.010784396901726723,
0.47739338874816895,
... |
Detailed Instructions: In this task, you're given a question, along with a context passage. The passage will not have a direct answer to the question, but can include some information and a clue for the answer. Assuming you can only obtain information about one entity in the passage, your job is to determine whether in... | a | 9 | NIv2 | task233_iirc_link_exists_classification | zs_opt | [
0.07459239661693573,
0.3253174126148224,
-0.0534491091966629,
-0.021235665306448936,
-0.007355311885476112,
0.4120767116546631,
0.023183416575193405,
1.297485589981079,
-0.6139159202575684,
0.5436667203903198,
-0.23389007151126862,
0.3489675521850586,
-0.5522348284721375,
-0.69987678527832... |
Given an Amazon review, indicate whether it is a 'Positive Review' or 'Negative Review'.
Let me give you an example: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the look is very good. I am quite happy with this p... | Negative Review | 8 | NIv2 | task1343_amazon_us_reviews_rating | fs_opt | [
0.39693114161491394,
-0.645208477973938,
-0.1543704867362976,
0.2590795159339905,
0.38092005252838135,
-0.5667738914489746,
0.8038656115531921,
0.6320821046829224,
0.3530304431915283,
0.7588940858840942,
0.0956651046872139,
0.10084747523069382,
-0.5168741941452026,
-0.6018526554107666,
0... |
Detailed Instructions: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
Problem:آسف لسماع ذلك ، إذًا ربما تعرفون أنه مادة سامة جدًا ، لكن ربما لا تعرفون أنه جزيء بسيط جدًا له أسم صعب النطق: فهو يدعى كلورو بنزال مالونوتريل.
Solution: | אני מצטער לשמוע את זה, אז אתה אולי יודע שזה חומר מאוד רעיל, אבל אתה אולי לא יודע שזו מולקולה ממש פשוטה עם שם שאי אפשר לבטא: היא נקראת כלורובנזלמלונוניטריל. | 8 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
0.25029414892196655,
1.123464584350586,
-0.2489854395389557,
-0.5851861834526062,
-0.18984133005142212,
-0.3180280923843384,
0.6886997222900391,
0.5966495275497437,
-0.13904385268688202,
0.06822314113378525,
-0.7819008827209473,
-0.2754093110561371,
-0.8093525767326355,
-0.1342257410287857... |
Part 1. Definition
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 the co... | coord | 7 | NIv2 | task1418_bless_semantic_relation_classification | fs_opt | [
0.2627280056476593,
0.17266659438610077,
0.025591684505343437,
-0.1271425038576126,
-0.5834921002388,
0.29442286491394043,
0.20173190534114838,
0.21277351677417755,
-0.22186431288719177,
-0.9474959373474121,
-0.5577389001846313,
0.18092012405395508,
-1.1646716594696045,
0.2828003168106079,... |
Part 1. Definition
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
Part 2. Example
Ao longo do livro, George chama a atenção de que a sua tecnologia, a tecnologia da biologia sintética, está atualmente a acelerar a uma taxa 4 vezes superior à Lei de Moore.
Answer: ... | Ok, grazie. Thomas. | 7 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.28524085879325867,
0.6417222023010254,
0.05249190330505371,
-0.39508312940597534,
0.2700110077857971,
-1.0295448303222656,
-0.43592339754104614,
0.9821798801422119,
-0.3562488555908203,
0.2619985342025757,
-0.7951405048370361,
0.20098809897899628,
-0.46814653277397156,
-0.59570360183715... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
One example: Sentence: 'the street light is green in the city'. How many words end with the letter 't' in the sentence.
Solution is here: 2
Explanation: The words 'street', and 'light' en... | 2 | 6 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
-0.5407956838607788,
1.1285430192947388,
-0.6859799027442932,
-0.8978899121284485,
-0.12937484681606293,
0.13075751066207886,
0.2476615607738495,
0.18424668908119202,
0.7513085603713989,
-0.5120078325271606,
-0.38017693161964417,
0.36547207832336426,
-0.5416132211685181,
0.0164560526609420... |
Instructions: You will be given a statement and two events in Croatian. The events are either something that can be caused by the statement, or they are something that might have caused the statement. If they can be consequences of the statement, answer with "effect", else answer with "cause".
Input: Statement: Stavio ... | effect | 3 | NIv2 | task1627_copa_hr_classification | zs_opt | [
0.5031930208206177,
0.7558258175849915,
-0.9282163381576538,
0.01889665238559246,
-0.16608087718486786,
-0.7014555931091309,
0.20526403188705444,
0.07626239955425262,
0.021034151315689087,
-0.7142657041549683,
0.04215376824140549,
0.4485776722431183,
-1.270545244216919,
0.24377629160881042... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No". In the translation, English sentence sh... | No | 5 | NIv2 | task426_hindienglish_corpora_hi-en_classification | zs_opt | [
-0.6729944348335266,
0.6673853397369385,
0.9624661207199097,
0.17823877930641174,
-0.030712053179740906,
-0.5856377482414246,
0.08296223729848862,
0.42757201194763184,
0.29980534315109253,
-0.4663257896900177,
-0.425218403339386,
0.4268583357334137,
-0.27752619981765747,
-0.201574638485908... |
Part 1. Definition
In this task, find the most appropriate number to replace the blank (indicated with _ ) and express it in words.
Part 2. Example
A lion has _ legs.
Answer: four
Explanation: The most logical numeric answer in words is four.
Part 3. Exercise
Beetles have bodies with _ segments.
Answer: | two | 7 | NIv2 | task672_nummersense | fs_opt | [
0.30182555317878723,
0.6302470564842224,
-0.48259708285331726,
-0.023936614394187927,
-0.22216472029685974,
-0.5118952393531799,
0.2432820200920105,
-0.05147451162338257,
-0.2993074357509613,
-0.7843969464302063,
-0.169382706284523,
0.7336570024490356,
-0.8690270185470581,
0.12612542510032... |
Instructions: You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must n... | The forks broke when Mike tried to eat the noodles, but the chopsticks didn't. The _ were made of plastic. | 3 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.6549099683761597,
0.5751545429229736,
0.18354398012161255,
0.11816677451133728,
0.5061542987823486,
-0.7302615642547607,
0.49615412950515747,
1.1769130229949951,
-0.6047885417938232,
-0.4691925048828125,
-0.4042733907699585,
0.23659905791282654,
-0.39827999472618103,
-0.04145151376724243... |
Detailed Instructions: In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
See one example below:
Problem: 5 + 3
Solution: 2
Explan... | -85 | 4 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.1531217247247696,
0.036217447370290756,
-0.7106226682662964,
0.25794386863708496,
-0.12322164326906204,
-0.1116606742143631,
0.37081560492515564,
1.195404052734375,
0.18555355072021484,
-0.09769731760025024,
-0.7733772993087769,
-0.46893829107284546,
-0.6415719985961914,
0.1942714154720... |
TASK DEFINITION: In this task, positions of two consecutive words have been swapped. You need to output the position of the swaped words. e.g. in the sentence 'Seattle has nice a weather', the word 'a' and 'nice' have been swapped. These words are at 3rd and 4th position respectively. So, the output should be (3, 4). N... | (1, 2)
| 8 | NIv2 | task089_swap_words_verification | fs_opt | [
0.24402061104774475,
0.40930280089378357,
-0.26007694005966187,
-0.6747109889984131,
-0.17763105034828186,
-0.07366521656513214,
0.6879341006278992,
0.5742034912109375,
0.22242863476276398,
-0.5128803253173828,
-0.38041365146636963,
-0.1397964358329773,
-0.1084527000784874,
0.1799653172492... |
Teacher:In this task, you are given a sentence or phrase in English. You must translate it to Xhosa in a way that is equivalent in terms of meaning and grammatically correct.
Teacher: Now, understand the problem? Solve this instance: she is then very liable to gybe, which is dangerous in strong winds.
Student: | Ithembeke kakhulu ukubaleka phambi komoya, nto leyo inobungozi kwimimoya enamandla | 6 | NIv2 | task872_opus_xhosanavy_translation_eng_xhosa | zs_opt | [
0.1661037653684616,
0.8823522329330444,
0.20721526443958282,
-0.513796329498291,
-0.030886882916092873,
-1.2424042224884033,
0.4702606797218323,
0.36997830867767334,
-0.13514941930770874,
-0.19634737074375153,
-0.1962955743074417,
-0.08670899271965027,
0.04272647202014923,
-0.7923538684844... |
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.
--------
Question: Unlike other reviews I read before buying , my locks came sealed and with matching codes , nothing really special about the locks... | negative
| 7 | NIv2 | task1312_amazonreview_polarity_classification | fs_opt | [
-0.42190760374069214,
-0.4633699357509613,
0.07997950166463852,
-0.09473937749862671,
-0.06896040588617325,
0.25083547830581665,
0.9017367362976074,
1.0941102504730225,
-0.2847108840942383,
0.2133471816778183,
-0.3793771266937256,
-0.42427676916122437,
-0.45487040281295776,
0.2132420539855... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
[EX Q]: Statement: दादवडी हे <MASK> जिल्ह्यातल्या वेल्हे तालुक्यातील १६०.४८ हेक्टर क्षेत्राचे गाव असून २०११ च्या... | गाणगापूर
| 6 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.20961949229240417,
0.9768980741500854,
-0.5330779552459717,
0.3297662138938904,
-0.4296903610229492,
-0.9863496422767639,
0.9959100484848022,
0.8548504710197449,
0.03871649503707886,
0.1206413209438324,
-0.6428391933441162,
0.7049630880355835,
-0.18014836311340332,
-0.0535537451505661,
... |
Detailed Instructions: In this task, you are given sentences from movie reviews. The task is to classify a sentence as "POS" if the sentiment of the sentence is positive or as "NEG" if the sentiment of the sentence is negative
Q: It celebrates the group 's playful spark of nonconformity , glancing vividly back at what ... | POS | 9 | NIv2 | task363_sst2_polarity_classification | zs_opt | [
-0.7678541541099548,
-0.01801805943250656,
0.3158677816390991,
0.28408390283584595,
-0.19069938361644745,
-1.3711706399917603,
1.1417243480682373,
0.073890820145607,
0.017835380509495735,
0.6200059652328491,
-0.4031389355659485,
-0.7360399961471558,
0.29679012298583984,
0.12438047677278519... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
--------
Question: And how should we communicate this new research to a large audience?
Answer: و چطور ما باید این تحقیق جدید را به مخاطبان منتقل کنیم ؟
Question: There's not a lot of mutual like or trust, but it's not a... | آنها با یکدیگر غذای خود را پرورش می دهند.
| 7 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.23792296648025513,
0.6674892902374268,
-0.11693841964006424,
0.4558872878551483,
-0.34312084317207336,
-0.12513881921768188,
0.5976481437683105,
0.20478487014770508,
0.16654033958911896,
-0.4285736083984375,
-0.11629987508058548,
0.18821489810943604,
-0.45568588376045227,
0.530462503433... |
Q: In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returne... | [653, 443, 761] | 7 | NIv2 | task366_synthetic_return_primes | zs_opt | [
-0.13188371062278748,
0.5483149290084839,
-0.3146434426307678,
-0.5129273533821106,
-0.11667284369468689,
-0.042069096118211746,
0.5062984228134155,
0.6882985234260559,
-0.01807188242673874,
0.44334983825683594,
-1.021488904953003,
-0.58670973777771,
-0.3755112290382385,
-0.194596454501152... |
instruction:
In this task, you are given a question. You have to answer the question based on your information.
question:
Who directed the Disney produced play Tom Alan Robbins starred in?
answer:
Julie Taymor
question:
Are RC Cola and Limca both soft drinks?
answer:
yes
question:
What was the role played in "Sweet... | Nickie
| 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | fs_opt | [
-0.8420755863189697,
1.06740403175354,
0.24660161137580872,
-0.2906925678253174,
-0.46696972846984863,
0.25301098823547363,
-0.7604155540466309,
-0.08964521437883377,
0.010163282975554466,
-0.22693298757076263,
0.5523141622543335,
0.5859498977661133,
-0.6523412466049194,
-0.214695557951927... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to classify the genre of the sentences from the 10 options displayed. Indicate your answer by entering the number of the choice as 1-10.
Sentence 1: Carriage after carriage spl... | 9 | 5 | NIv2 | task198_mnli_domain_classification | zs_opt | [
-0.6905415058135986,
0.5719026923179626,
0.5331171154975891,
-0.29212653636932373,
-0.28425872325897217,
-0.071080282330513,
0.2820121943950653,
0.6178979277610779,
-0.30312323570251465,
-0.29001757502555847,
-0.39441436529159546,
-0.4579002559185028,
-0.045011430978775024,
-0.365643262863... |
Detailed Instructions: You are given an amazon food product review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False".
Problem:If you are going to eat potatoes, go organic and the real thing...not in a can. Big mistake. I li... | False | 8 | NIv2 | task587_amazonfood_polarity_correction_classification | zs_opt | [
-0.1078023761510849,
-0.41870051622390747,
0.5933058261871338,
0.06241387501358986,
-0.3572954535484314,
-0.7885463833808899,
0.8473813533782959,
0.6469272375106812,
0.24138587713241577,
0.21512603759765625,
-0.4624948501586914,
0.15320870280265808,
-0.2943839132785797,
-0.4885095953941345... |
Given the task definition and input, reply with output. The input is a tweet which can be classified as Hate Speech, Offensive or Normal. Given such a tweet, output the class the tweet belongs to. Hate Speech will contain threatening language towards the community targeted. Offensive language will contain abusive or di... | Offensive | 5 | NIv2 | task1502_hatexplain_classification | zs_opt | [
-0.43322885036468506,
1.0023772716522217,
0.7897007465362549,
0.6075201034545898,
-0.04809396713972092,
-0.9143028259277344,
-0.2716713547706604,
0.32741644978523254,
0.3947293162345886,
0.40551242232322693,
-0.2156142294406891,
-0.24615386128425598,
-0.2958828806877136,
-0.833670258522033... |
Definition: A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: তিনি বলেন, যেসব সার কারখানাগুলি দীর্ঘদিন ধরে বন্ধ হয়েছিল, সেগুলি পুনরুজ্জীবনের জন্য উদ্যোগ গ্রহন করা হয়েছে।
Output: | ਉਨ੍ਹਾਂ ਕਿਹਾ ਕਿ ਜਿਹੜੇ ਖਾਦ ਪਲਾਂਟ ਬੰਦ ਹੋ ਚੁੱਕੇ ਹਨ, ਉਨ੍ਹਾਂ ਨੂੰ ਬਹਾਲ ਕੀਤਾ ਜਾ ਰਿਹਾ ਹੈ। ਇਨ੍ਹਾਂ ਵਿੱਚੋਂ ਵਧੇਰੇ ਪੂਰਬੀ ਭਾਰਤ ਨੂੰ ਲਾਭ ਪਹੁੰਚਾਉਣਗੇ। | 2 | NIv2 | task1025_pib_translation_bengali_punjabi | zs_opt | [
-0.5374621748924255,
0.8944573402404785,
0.03786996752023697,
0.3633386194705963,
-0.7995342016220093,
-0.3788423538208008,
0.7635264992713928,
0.460887610912323,
-0.5606644153594971,
0.1483827531337738,
-1.135512351989746,
0.41291719675064087,
-0.5261654853820801,
0.9432342648506165,
0.... |
You will be given a definition of a task first, then some input of the task.
You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Great Service!!! Eric, the owner, is a real stand up guy. He took time to go over my issues and resolved the problem while I waited.... | 5 stars | 1 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.15278862416744232,
-0.46010667085647583,
0.05826781690120697,
0.12842638790607452,
-0.21883486211299896,
-0.8419835567474365,
0.5048973560333252,
0.9649423360824585,
0.493867427110672,
0.6668474674224854,
-0.13999688625335693,
-0.27477341890335083,
-0.04881405085325241,
0.256137162446975... |
In this task you are given a sentence. You must judge whether there exist two consecutive words within the sentence with flipped orders, that is, whether the sentence will make sense and be correct if the order of two consecutive words changes. Label the instances as "Inversion" or "Original" based on your judgment.
H... | Original
| 0 | NIv2 | task428_senteval_inversion | fs_opt | [
-0.46234023571014404,
0.6102068424224854,
0.37837010622024536,
0.049199722707271576,
0.07705678790807724,
0.22380748391151428,
0.671196699142456,
0.5117230415344238,
0.3617212772369385,
0.02584807761013508,
-0.9740700721740723,
-0.7544508576393127,
-0.3139777183532715,
-0.2274968922138214,... |
Teacher:In this task, you are given a statement spoken by a politician in natural language. Your task is to generate the subject of the discussion for the given statement. The subject generated is not necessarily a part of the given input. Your answer should contain one or more words.
Teacher: Now, understand the probl... | taxes | 6 | NIv2 | task613_politifact_text_generation | zs_opt | [
0.2546555995941162,
0.18314045667648315,
-0.20794299244880676,
0.2865714430809021,
-0.14036014676094055,
-0.5845577716827393,
0.2480098307132721,
0.3915550410747528,
0.3937561511993408,
0.522362232208252,
-0.07539845257997513,
0.06352198868989944,
-0.07515165954828262,
-0.9602457284927368,... |
In this task you will be given a list of integers. You should round each integer to the nearest tens place. That means you should round the number to the nearest multiple of 10.
One example is below.
Q: [-83, 53, -48, 8]
A: [-80, 50, -50, 10]
Rationale: The output correctly rounds each integer in the input list to the ... | [-560, -970, -270, 970, 140, 760, -90, -640, -620, 460, -360, -850] | 9 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.5752288103103638,
0.5302391052246094,
-0.1862119436264038,
-0.23776446282863617,
-0.14319030940532684,
-0.31928613781929016,
1.2007062435150146,
-0.18396104872226715,
-0.2965502142906189,
0.34715378284454346,
-0.5819218158721924,
0.04328669607639313,
-0.6931912302970886,
0.1722934842109... |
Detailed Instructions: 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... | walk around left after jump twice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
-0.061010997742414474,
1.0831092596054077,
-0.49006667733192444,
0.0764683336019516,
-0.13054196536540985,
0.5352364778518677,
-0.008308649063110352,
0.5866102576255798,
-0.5445765256881714,
-0.3457024395465851,
-0.7889184951782227,
-0.07498681545257568,
-0.6348708271980286,
0.155512869358... |
Detailed Instructions: In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in ... | #1 return flights
#2 return #1 from boston to philadelphia
#3 return #2 on august first
#4 return #3 in the evening | 8 | NIv2 | task176_break_decompose_questions | zs_opt | [
1.1588945388793945,
-0.3428981900215149,
-0.8829795122146606,
0.4072035253047943,
0.38057607412338257,
-0.2892061769962311,
1.537808895111084,
0.34107887744903564,
-0.594260573387146,
0.3764919638633728,
-0.4769129753112793,
-0.052209559828042984,
-0.08035241067409515,
0.6000784635543823,
... |
Teacher: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... | number | 6 | NIv2 | task027_drop_answer_type_generation | zs_opt | [
-0.18318846821784973,
0.15998314321041107,
-0.457486093044281,
-0.28644782304763794,
-0.12245501577854156,
-0.5485380291938782,
0.1764596402645111,
0.35355496406555176,
-0.27162623405456543,
0.011428439058363438,
-0.08634217828512192,
0.5894355773925781,
-1.284104824066162,
-0.019026283174... |
Part 1. 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 preceding the last i elements. i will always have a value less than the length of A.
Part 2. Example
3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
Answer: a, 34, f, 931,... | C, 9777, V, 7481 | 7 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.1477041393518448,
0.30011409521102905,
-0.2820873260498047,
-0.4896204471588135,
0.0832967460155487,
0.018575167283415794,
1.0523059368133545,
0.1982530951499939,
0.13336923718452454,
-0.11072796583175659,
-0.9637966156005859,
-0.12291796505451202,
-0.056418824940919876,
-0.4037287235260... |
Detailed Instructions: The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Problem:Along with nuclear, geothermal and internal combustion e... | Juntament amb la calor residual dels motors nuclears, geotèrmics i de combustió interna, quin tipus d’energia podria subministrar la calor d’una màquina de vapor? | 8 | NIv2 | task1677_xquad-ca_translation | zs_opt | [
0.5346235632896423,
0.7816839218139648,
-0.07310253381729126,
-0.6975585222244263,
-0.0897376760840416,
-1.5135029554367065,
0.6130837798118591,
0.28725287318229675,
-0.35551559925079346,
-0.31124675273895264,
-0.02114183083176613,
-0.016769692301750183,
-0.6175400614738464,
-0.22237014770... |
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, answer 'Numbers and Alphabe... | Alphabets Win
| 3 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | fs_opt | [
0.31224697828292847,
0.20175465941429138,
-0.3602660894393921,
-0.11833634227514267,
-0.31463825702667236,
-0.45711612701416016,
0.6609039306640625,
0.38732171058654785,
-0.5596507787704468,
0.13567519187927246,
-0.8150936365127563,
0.09930163621902466,
-0.466037392616272,
0.10131071507930... |
A text is given in English. Translate it from the English language to the Telugu language. The translation must not omit or add information to the original sentence.
--------
Question: సిఎన్ జి తో నడిచే వాహనాలకు పర్మిట్ లను కూడా ప్రధాన మంత్రి పంపిణీ చేశారు.
Answer: The Prime Minister distributed permits for CNG driven... | 17 lakh kilometers of rural roads, 51 lakh new rural houses, 1.
| 7 | NIv2 | task1048_pib_translation_telugu_english | fs_opt | [
-1.0944626331329346,
0.10222369432449341,
0.47326797246932983,
0.3202390670776367,
-0.566685676574707,
-0.8796616792678833,
0.467484712600708,
0.9486006498336792,
-0.6459662914276123,
-0.028943601995706558,
0.1549491137266159,
0.024690348654985428,
-0.3356931805610657,
0.3067079782485962,
... |
You will be given a sentence. Check whether the sentence is grammatically correct and is meaningful. If the sentence is grammatically correct, then answer with '1', otherwise answer with '0'.
Q: The ship's sinking to collect the insurance was very devious.
A: 0
****
Q: Rub the cloth on the baby asleep.
A: 0
****
Q: ... | 0
****
| 4 | NIv2 | task1346_glue_cola_grammatical_correctness_classification | fs_opt | [
-0.5626662969589233,
1.1875293254852295,
-0.1499914824962616,
-1.0110763311386108,
-0.08665856719017029,
-1.445485234260559,
0.49532753229141235,
0.49709129333496094,
-0.23593629896640778,
0.10450097173452377,
-0.6431331634521484,
-0.26402127742767334,
-0.3236438035964966,
-0.9758532047271... |
Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Input: न्यायालयों ने आंग़्ल-सैक़्सन विधिशास्त्र द्वारा विकसित... | The courts have done away with the rule of standing i.e . ' locus ' evolved by Anglo-Saxon jurisprudence that only a person wronged can sue for judicial redress . | 2 | NIv2 | task424_hindienglish_corpora_hi_en_translation | zs_opt | [
-0.48268693685531616,
0.24474644660949707,
0.6514508724212646,
-0.8440948724746704,
-0.18763135373592377,
-0.3945290744304657,
0.10793555527925491,
0.3505820631980896,
0.3328109681606293,
-0.40641888976097107,
-0.694324254989624,
0.31723693013191223,
-0.5972774028778076,
0.2141860872507095... |
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT ... | ¿Por qué fue conocido Pauling?
| 6 | NIv2 | task1335_sqac_question_generation | fs_opt | [
-0.07153309136629105,
0.8295650482177734,
-0.0667075589299202,
0.1915261149406433,
0.5240909457206726,
-0.13821297883987427,
0.686184287071228,
1.0262328386306763,
-0.13991647958755493,
-0.014790232293307781,
-0.5471465587615967,
0.14526475965976715,
-0.6492260694503784,
-0.366467893123626... |
Q: In this task you will be given a list of lists, of numbers. For every inner list, you should multiply every number in that list and put the results in your answer. The output should be a list of numbers with the same length as the number of the lists in the input list.
[[-3, -17], [-9, -50, -42, -35, -30]]
A: | [51, -19845000] | 7 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.2775169014930725,
0.28568071126937866,
-1.0630924701690674,
-0.4653821587562561,
0.05177877098321915,
-0.4376859962940216,
1.5438449382781982,
-0.01774085871875286,
-0.020991986617445946,
-0.23981231451034546,
-0.7815527319908142,
0.6239909529685974,
-0.6318153142929077,
-0.122381307184... |
Teacher:You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Teacher: Now, understand the problem? Solve this instance: Czy Internet jest miejscem, które można odwiedzić?
Student: | האם האינטרנט הוא למעשה מקום שבו אתם יכולים לבקר? | 6 | NIv2 | task1260_ted_translation_pl_he | zs_opt | [
-0.7767561674118042,
0.3107832074165344,
0.16848988831043243,
-0.5732738375663757,
-0.24852044880390167,
-0.45909684896469116,
0.5956075191497803,
-0.12532684206962585,
0.7313894033432007,
0.2693677246570587,
0.14943593740463257,
0.3298318088054657,
-0.6845196485519409,
-0.4245638847351074... |
In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with "A", "B", "C", and "D".
One example: [header] How to create a christmas tree forest [title] Consider the type of tree you w... | C | 6 | NIv2 | task1389_hellaswag_completion | fs_opt | [
1.0704588890075684,
0.14479677379131317,
-0.7353802919387817,
0.39335256814956665,
0.1838858723640442,
-0.8536124229431152,
0.7815771102905273,
0.9441180229187012,
-0.13121110200881958,
0.4220351576805115,
-0.24922432005405426,
-0.1776808351278305,
-0.16064149141311646,
-0.1629978418350219... |
Given the task definition and input, reply with output. The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence int... | Justice Ijeoma Ojukwu of the Federal High Court, Abuja has dismissed the suits challenging the stay of Ibrahim Mustapha Magu as Acting Chairman of Economic and Financial Crimes Commission EFCC. | 5 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.6815033555030823,
0.40595608949661255,
0.2710595726966858,
0.1639285534620285,
0.24276722967624664,
-0.43156468868255615,
0.19415734708309174,
0.7013227939605713,
0.1938713937997818,
-0.3782578110694885,
-0.20445089042186737,
0.3756093680858612,
-0.7030737400054932,
0.019397180527448654... |
Q: A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.
ఆయన తన మొట్టమొదటి విదేశీ పర్యటన కు భారతదేశాన్ని ఎంపిక చేసుకొన్నందుకు కూడా ఆయన ను ప్రధాన మంత్రి ప్రశంసించారు.
A: | ਅਬਦੁਲ ਮੋਮੇਨ ਨੂੰ ਉਨ੍ਹਾਂ ਦੀ ਵਿਦੇਸ਼ ਮੰਤਰੀ ਵਜੋਂ ਨਿਯੁਕਤੀ ਲਈ ਵਧਾਈ ਦਿੱਤੀ ਅਤੇ ਆਪਣੀ ਪਹਿਲੀ ਵਿਦੇਸ਼ ਯਾਤਰਾ ਲਈ ਭਾਰਤ ਨੂੰ ਚੁਣਨ ਲਈ ਉਨ੍ਹਾਂ ਦੀ ਸ਼ਲਾਘਾ ਕੀਤੀ । | 7 | NIv2 | task1066_pib_translation_telugu_punjabi | zs_opt | [
-0.2927776277065277,
1.099057912826538,
0.2284131795167923,
0.5089334845542908,
0.673616886138916,
-0.6978558301925659,
0.5939875841140747,
-0.3776128888130188,
-0.36234527826309204,
0.6490130424499512,
-0.449297696352005,
0.010353836230933666,
-0.9345823526382446,
0.12110603600740433,
0... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes
| 3 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.47133535146713257,
-0.03931734710931778,
-0.0043525188229978085,
0.15308363735675812,
-0.3697631359100342,
-0.5975021719932556,
1.3671869039535522,
0.8953863382339478,
-0.6839902400970459,
-0.582912802696228,
-0.8723185062408447,
0.06699173152446747,
-1.1095519065856934,
0.17583368718624... |
Instructions: Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Input: The boys look away in confusion.
Output: | Someone smiles as he remembers. | 3 | NIv2 | task455_swag_context_generation | zs_opt | [
0.4918181002140045,
1.131968379020691,
-0.6713453531265259,
-0.3092179596424103,
-0.5073623061180115,
0.2277022749185562,
-0.3470792770385742,
0.6342557668685913,
0.35714900493621826,
-0.22186535596847534,
-0.780214250087738,
-0.3445533215999603,
-0.290169358253479,
-0.3665864169597626,
... |
Given the task definition and input, reply with output. In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article... | Indirect tax means _ . | 5 | NIv2 | task649_race_blank_question_generation | zs_opt | [
0.3250720500946045,
0.6306625604629517,
-0.2802464962005615,
0.20044371485710144,
0.28067824244499207,
-0.06447204202413559,
0.34774547815322876,
1.1799970865249634,
-0.02679966390132904,
0.42361682653427124,
-0.6904925107955933,
0.44110965728759766,
-0.34714844822883606,
-0.41687604784965... |
In this task, you're given a statement, and three sentences as choices. Your job is to determine which sentence clearly disagrees with the statement. Indicate your answer as '1', '2', or '3' corresponding to the choice number of the selected sentence.
Ex Input:
Statement: The region around Delhi embraces the governmen... | 3
| 1 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.08662056922912598,
0.27533626556396484,
0.13239535689353943,
-0.1686130166053772,
-0.16115638613700867,
-0.3882930874824524,
0.09762470424175262,
1.0313694477081299,
-0.7484152317047119,
-0.66193687915802,
-0.1873723715543747,
0.2664875090122223,
-0.6897133588790894,
-0.10949349403381348... |
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... | Output: [-5.5, 14, -17.0, -5.0, -290, -14.5, 302]
| 2 | NIv2 | task368_synthetic_even_or_odd_calculation | fs_opt | [
-0.3487929105758667,
0.35655477643013,
-0.353421151638031,
0.1640503704547882,
0.273135781288147,
0.32309964299201965,
1.0482157468795776,
0.27167627215385437,
-0.4158988296985626,
0.4070509076118469,
-0.8545518517494202,
-0.3786212205886841,
-0.40865227580070496,
-0.27566346526145935,
0... |
You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Example: Statement: उत्तराखंड व झारखंड राज्यांमध्ये मुलांच्या आयांना या योजनेत समाविष्ट करून घेतलेले दिसते. तर आंध... | Solution: अमेरिकन | 5 | NIv2 | task950_wiki_cloze_mr_multiple_choice_question_answering | fs_opt | [
0.21294191479682922,
-0.04172825440764427,
0.0700419694185257,
0.04049084335565567,
0.32947680354118347,
-0.7326391935348511,
-0.18907430768013,
0.7147579193115234,
-0.4160563349723816,
0.36040017008781433,
0.31321412324905396,
0.7664295434951782,
-0.47823601961135864,
0.02360706962645054,... |
Q: In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.
And ye shall proclaim on the selfsame day, that it may be an holy convocation unto you: ye shall do no servile work therein: it shall be a statute for ever in all your dwellings throughout your generation... | هیچ کار از شغل مکنید و هدیه آتشین برای خداوند بگذرانید.» | 7 | NIv2 | task655_bible_en_fa_translation | zs_opt | [
-0.5573791265487671,
1.4794940948486328,
-0.3278358578681946,
0.5175504684448242,
-0.6099710464477539,
-0.8792746067047119,
0.25969529151916504,
0.8437995314598083,
0.42725127935409546,
0.796737551689148,
0.6358689069747925,
1.0160272121429443,
-0.09102547913789749,
-0.29844650626182556,
... |
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 _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | AGE | 3 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
0.3137727379798889,
0.5419701337814331,
-0.29617756605148315,
0.15131345391273499,
-0.20895224809646606,
-0.6323469877243042,
1.2040156126022339,
0.8745507001876831,
-0.3135797679424286,
-0.03968682885169983,
-0.1289842575788498,
0.17903058230876923,
-0.7246592044830322,
-0.160366117954254... |
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 inner list you shoul... | [-375, 39, -17, -651, 0, 6149, -143] | 6 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.2953370213508606,
-0.2499014139175415,
-0.8068779706954956,
0.059634216129779816,
0.3000068664550781,
-0.31368696689605713,
1.1821485757827759,
0.7659125328063965,
-0.43183329701423645,
-0.06491678953170776,
-1.1856775283813477,
-0.2380560040473938,
-0.4977266788482666,
-0.09457443654537... |
This task is about translating a given English language sentence to Yoruba language.
Let me give you an example: While you should not share legal advice to others based on course content, you will develop a high level of expertise upon completion of this course.
The answer to this example can be: Bí ó ti jẹ́ wí pé o k... | A kì í dá aró nÍṣokùń àlà là ń lò. | 8 | NIv2 | task1685_menyo20k_translation | fs_opt | [
-0.39932483434677124,
0.23460924625396729,
0.231014221906662,
-0.5113019347190857,
-0.4074036180973053,
-0.14404729008674622,
-0.17793142795562744,
0.9496751427650452,
-0.13409638404846191,
-0.9943462610244751,
0.0061843013390898705,
0.7794893980026245,
-1.1030967235565186,
0.2171474397182... |
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