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 get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a "Yes" if the translation is correct, otherwise return "No"
English: What is a legitimate target is obviously a grey area.
Spanish:Evidentemente, la de lo que es o no un objetivo legítim... | Yes | 0 | NIv2 | task532_europarl_en-es_classification | zs_opt | [
-0.516016960144043,
0.6281476020812988,
0.6785691976547241,
-0.9342018365859985,
-0.1922953575849533,
-0.6620147228240967,
0.3157743513584137,
0.32035917043685913,
0.7242506146430969,
0.0728687047958374,
-0.08493755012750626,
0.051870569586753845,
-0.8880393505096436,
-0.019945714622735977... |
Q: 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.
This is a very different sauce - nothing like anything you'll find in the grocery store. It's closer to the "botique" salsas that have recently appeared with t... | Positive | 7 | NIv2 | task586_amazonfood_polarity_classification | zs_opt | [
-0.09808622300624847,
-0.39847126603126526,
0.6051859855651855,
-0.3142390251159668,
0.2324671447277069,
-0.09271259605884552,
0.32873111963272095,
0.7202156782150269,
0.12152165174484253,
0.49851301312446594,
0.46934083104133606,
0.154155895113945,
-0.4978935420513153,
-0.4559856951236725... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
Example: Così diventa un igloo.
Example solution: این یک خانه ی اسکیمو می شود.
Example explanation: The Italian sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: E 'la che io ti incontre... | Solution: من تو را در آنجا ملاقات خواهم کرد. | 5 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.1406019926071167,
0.303024023771286,
-0.27819812297821045,
-0.1695975810289383,
-0.1651233732700348,
-0.8832672834396362,
1.0064269304275513,
-0.29159870743751526,
0.23052647709846497,
-0.26436829566955566,
-0.931908905506134,
0.8389983177185059,
-0.4769953489303589,
0.5557973384857178,
... |
Definition: In this task, you are given two simple actions (associated with "A", "B"). You must identify which action is considered less ethical. Do not generate anything else apart from one of the following characters: 'A', 'B'.
Input: (A) not wanting a copy of the shirt I wanted
(B) being mad my boyfriend said he wou... | A | 2 | NIv2 | task106_scruples_ethical_judgment | zs_opt | [
-0.048589713871479034,
0.46111106872558594,
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-0.01199764758348465,
-0.5369179248809814,
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-0.03903548792004585,
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0.08534032106399536,
-0.8329338431358337,
0.12535785138607025,
0.09862572699785233,
-0.6156626343... |
You will be given a definition of a task first, then some input of the task.
From the given sentence, extract the phrase (often noun or verb) that carries the given relationship. The generated phrase should be present in the sentence.
Given Relationship: 'be head of', Sentence: 'It is ironic indeed that US Treasury Se... | head | 1 | NIv2 | task678_ollie_actual_relationship_answer_generation | zs_opt | [
-0.4041396379470825,
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-0.004218734335154295,
-0.9572632908821106,
-0.5298194289207458,
-0.45511171221733093,
0.8437795639038086,
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0.3013569116592407,
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-0.777442455291748,
0.21435317397117615,
-0.22793316841125488,
0.403664022684097... |
Detailed Instructions: A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.
Problem:ਉਪ ਰਾਸ਼ਟਰਪਤੀ ਨੇ ਕਿਹਾ ਕਿ ਚੀਨ, ਅਮਰੀਕਾ, ਯੂਰਪ ਅਤੇ ਜਪਾਨ ਦੀ ਤੁਲਨਾ ਵਿੱਚ ਭਾਰਤ ਇੱਕ ਨੌਜਵਾਨ ਦੇਸ਼ ਹੈ। ਨੌਜਵਾਨਾਂ ਨੂੰ ਵੱਖ-ਵੱਖ ਕਿੱਤਿਆਂ ਦੀ ਆਧੁ... | اس بات کو اجاگر کرتے ہوئے کہ چین ، امریکہ ، یورپ اور جاپان کے مقابلے بھارت ایک نوجوان ملک ہے ، نائب صدر نے کہا کہ ہنر مندی کے فروغ اور نوجوانوں کو مختلف پیشوں میں جدید ترین تربیت دینے سے بھارت کے نوجوان روزگار حاصل کرنے والوں کے بجائے روز گار فراہم کرنے والے بن جائیں گے۔ | 8 | NIv2 | task1051_pib_translation_punjabi_urdu | zs_opt | [
0.3097943067550659,
0.9034869074821472,
-0.2150934785604477,
-0.7643675208091736,
-0.36766549944877625,
0.0008690273389220238,
0.2818707525730133,
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-0.24679934978485107,
0.1286129206418991,
-0.25864481925964355,
-0.23931095004081726,
0.16147443652153015,
0.0359510555863... |
Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.
Problem:که زیر این پرچم جمع بشوند و در این تلاشها به من بپیوندند.
Solution: | under the same banner, to join in the same enterprise. | 8 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.06142221391201019,
0.8833823204040527,
-0.5234695076942444,
-0.3274589776992798,
-0.552673876285553,
-0.5272974967956543,
0.4099051356315613,
0.12235073000192642,
0.5672640800476074,
-0.3032628893852234,
-0.7414864301681519,
0.19348454475402832,
-0.4051111340522766,
0.20650321245193481,... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Spanish.
[EX Q]: م ا: خب من باور دارم وقتی زنان بیشتری حضور دارند ، آنوقت لحن مذاکرات و اهداف آن عوض می شه. م ا: خب من باور دارم وقتی زنان بیشتری حضور دارند ، آنوقت لحن مذاکرات و اهداف آن عوض می شه. م ا: خب من باور دارم وقتی زنان... | Combinando las dos pasiones.
| 6 | NIv2 | task1267_ted_translation_fa_es | fs_opt | [
-0.17080488801002502,
0.3002728819847107,
-0.9288241267204285,
-0.4302918314933777,
-0.6265043616294861,
-0.41251933574676514,
0.7888160943984985,
0.8172428607940674,
0.7376556396484375,
-0.3669206500053406,
-0.5001489520072937,
-0.004507960751652718,
-0.1875036358833313,
0.278812825679779... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Landmark Education diturunkan dari Erhard Seminars... | ランドマークエデュケーションは、ワーナー・エアハードが設立し、「est」とも呼ばれるエアハルトセミナー研修の系統を引いている。 | 1 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
-0.5797215700149536,
-0.1986817717552185,
-0.006760964170098305,
-0.49544018507003784,
-0.09807736426591873,
0.23003779351711273,
0.9337098598480225,
-0.23925313353538513,
0.334739089012146,
-0.5154510736465454,
-0.29487234354019165,
0.1601809561252594,
-1.1637165546417236,
1.0551271438598... |
Instructions: In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.
Input: El Sr. Blokland ha sobrepasado además de muchas formas el enc... | Spanish | 3 | NIv2 | task533_europarl_es-en_language_identification | zs_opt | [
0.05874573439359665,
0.5345827341079712,
0.48739612102508545,
-0.32403817772865295,
0.004276496358215809,
-0.5269325971603394,
0.3404979109764099,
0.05131586641073227,
0.024908732622861862,
-0.49034857749938965,
0.1644800305366516,
0.5213316082954407,
-0.2838767170906067,
-0.03685827180743... |
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 the given passage. Answer of the question can be found ... | Dogs. | 9 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.5912508964538574,
0.48831236362457275,
-0.5169294476509094,
0.5886364579200745,
-0.32275962829589844,
0.30784934759140015,
1.178584337234497,
0.7221238613128662,
-0.22154809534549713,
-0.550134003162384,
-0.2813810706138611,
-0.4089125394821167,
-0.17496463656425476,
0.18607696890830994,... |
You are given a sentence in English. Your job is to translate the English sentence into Arabic.
We call it the Water Canary. | أطلقنا عليه كناري المياه. | 0 | NIv2 | task1220_ted_translation_en_ar | zs_opt | [
-0.2894577383995056,
0.5489537715911865,
-0.3410088121891022,
-1.257186770439148,
0.04103042930364609,
0.5639306902885437,
-0.1471269726753235,
-0.10138258337974548,
0.29367896914482117,
0.4877752661705017,
0.5267506837844849,
-0.3557226061820984,
-1.0337860584259033,
0.09616231918334961,
... |
In this task, you are given a premise sentence. Your task is to write a new sentence by substituting the subject and object (i.e., the input's subject should be output's object and vice versa.). The generated sentence must be fluent and shouldn't change the voice (i.e., passive or active) of the input.
The athlete saw... | The senator introduced the banker .
| 0 | NIv2 | task1364_hans_answer_generation | fs_opt | [
-0.2912818193435669,
0.3329506516456604,
-0.2976704239845276,
0.09497827291488647,
0.1028846949338913,
-0.34111201763153076,
0.2519342303276062,
0.03633565828204155,
0.9315279722213745,
-0.6790693998336792,
-1.0226223468780518,
-0.024010069668293,
-0.10154134035110474,
-0.04402930662035942... |
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:Atria will also buy the shares of Kauhajoen Teurastamokiinteistot Oy (Kauhajoki slaughterhouse property)from Itikka Co-ope... | false
| 0 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
0.17531225085258484,
0.003371155820786953,
-0.2584327757358551,
0.9677721858024597,
-0.7349256277084351,
0.021715780720114708,
0.5006077885627747,
0.5300708413124084,
-0.13342823088169098,
0.05759976804256439,
-0.05180928111076355,
-0.09205859154462814,
-0.7372300028800964,
-0.015948748216... |
Detailed Instructions: In this task, we ask you to rewrite a sentence in simple English without changing its general meaning. Essentially, you want to make the sentence easier to read by using simpler words, utilizing more straightforward sentence structures, and omitting non-essential information etc.
Q: The 2006 Wint... | The 2006 Winter Olympics , officially known as the XX Olympic Winter Games , were held in Turin , Italy from 10 to 26 February 2006 . | 9 | NIv2 | task933_wiki_auto_style_transfer | zs_opt | [
-0.13173769414424896,
0.12543630599975586,
-0.08072266727685928,
0.06045994162559509,
-0.13080963492393494,
-0.8889475464820862,
0.0666787177324295,
0.18492180109024048,
-0.2912016212940216,
-0.8446744680404663,
-0.6555961966514587,
0.982315182685852,
-0.7557530403137207,
-0.12512810528278... |
Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Negative | 4 | NIv2 | task421_persent_sentence_sentiment_classification | zs_opt | [
-0.4971866309642792,
0.04789336770772934,
0.28272581100463867,
-0.1665095090866089,
0.021637430414557457,
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0.6777002811431885,
0.14252969622612,
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-0.7713373303413391,
0.5188744068145752,
-0.8962341547012329,
-0.8324010968208313,
... |
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being... | यदि आप विज्ञान के बारे में सीखना चाहते हैं तो आपको एक वैज्ञानिक से बात करनी चाहिए.
| 0 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.49249547719955444,
0.32697969675064087,
-0.4223948121070862,
-0.013635141775012016,
-0.3854406177997589,
-1.4654675722122192,
-0.14262476563453674,
0.6382819414138794,
-0.5832251310348511,
-0.3219623565673828,
-0.582835853099823,
0.1862587332725525,
-0.2530500888824463,
0.12807607650756... |
Detailed Instructions: In this task, you are given two sentences. Your task is to classify the given sentences as "Yes" if they have same meaning; otherwise, classify them as "No".
Q: Sentence-1: I've had the same car for 20 years.<sep>Sentence-2: I own a car .
A: | Yes | 9 | NIv2 | task566_circa_classification | zs_opt | [
-0.8709459900856018,
0.26449060440063477,
0.36337757110595703,
0.42628923058509827,
-0.08272440731525421,
-1.6105945110321045,
0.7439793348312378,
0.9713432788848877,
0.011706070974469185,
0.04352675378322601,
-0.0785083919763565,
-0.010281314142048359,
-0.6418062448501587,
-0.199678942561... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The up... | weakener | 1 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.08480767905712128,
0.5179241895675659,
-0.0755770206451416,
0.175238698720932,
-0.04488842189311981,
-0.6552844047546387,
1.0326387882232666,
1.0452324151992798,
0.38303378224372864,
-0.3139532506465912,
-1.2611770629882812,
-0.39892804622650146,
-0.2640056014060974,
0.18506482243537903... |
Q: Given a sentence in Russian, generate a new Russian 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 i... | Вы можете использовать линию, чтобы провести различие между водой и пустотой. | 7 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.3208630681037903,
0.8133434653282166,
-0.1247410923242569,
-0.9620453715324402,
-0.6756592988967896,
-0.1065729409456253,
0.4478291869163513,
1.4793930053710938,
0.5150701999664307,
-0.6660838723182678,
-0.9426393508911133,
-0.4023207426071167,
-0.9161071181297302,
0.28512051701545715,
... |
Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Portugese.
Input: Hemos aprendido una cantidad asombrosa de cosas.
Output: | E temos aprendido coisas fantásticas. | 3 | NIv2 | task1104_ted_translation_es_pt | zs_opt | [
0.13627679646015167,
1.2765398025512695,
0.04119236022233963,
-0.46006178855895996,
-0.418479323387146,
-1.2701117992401123,
-1.1044400930404663,
0.7510170936584473,
0.43568217754364014,
0.2032724916934967,
-1.0645098686218262,
-0.2885269522666931,
-0.7046416997909546,
0.07441572844982147,... |
Q: 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 order. Assume the position of the 1st element to be 1. Return -1 if no numerical element is in the list.
['3751', 'p', '... | 1 | 7 | NIv2 | task507_position_of_all_numerical_elements_in_list | zs_opt | [
-0.12200610339641571,
0.28002798557281494,
-0.19535298645496368,
-0.7952531576156616,
0.2945913076400757,
-0.0697571188211441,
1.0491929054260254,
0.5505301356315613,
0.18613773584365845,
0.39712145924568176,
-0.6394237279891968,
-0.348141074180603,
-0.09340403974056244,
-0.446368962526321... |
In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Ex Input:
Sentence: 'a man is setting up his bird cage in his living room'. Count the number of consonants in the given sentence.
Ex Output:
25
Ex Input:
Sentenc... | 18
| 1 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.28877022862434387,
0.31618136167526245,
-0.7809272408485413,
-0.27584153413772583,
0.07865364849567413,
0.06613612174987793,
-0.12924882769584656,
0.9920674562454224,
0.24047216773033142,
0.043446339666843414,
-0.7184405326843262,
0.23728832602500916,
-0.23345282673835754,
-0.55399680137... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Input: Consider Input: Questa è la microfotografia di Nick Read e Patrick Higkey.
Output: To mikrofotografie Nicka Reada i Patricka Hickey.
Input: Consider Input: Il problema di spostare i confronti è anche più complicat... | Output: Kolejny krok infrastruktury to zwiększenie zasięgu.
| 2 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-0.8476928472518921,
0.23851805925369263,
-0.18606051802635193,
0.3915306627750397,
-0.0359523743391037,
0.29707831144332886,
0.9642545580863953,
0.31688180565834045,
0.7695935964584351,
-0.16482259333133698,
-0.3790534436702728,
-0.011209993623197079,
-0.011078490875661373,
0.434291988611... |
Detailed Instructions: In this task, you are to Translate German text to English
Problem:Beide zusammen begrenzen eine Pumpkammer (30).
Solution: | Together, the two delimit a pump chamber (30). | 8 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
-0.5422267913818359,
0.4276854991912842,
-0.5401451587677002,
-0.8577560186386108,
-0.20757991075515747,
-0.7358153462409973,
-0.036545269191265106,
0.47460049390792847,
0.5041877627372742,
0.6775124073028564,
-0.32580095529556274,
0.8224518299102783,
0.03115924447774887,
-0.70808482170104... |
Detailed Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Q: ਸਾਥੀਓ, ਮੈਂ ਤੁਹਾਨੂੰ ਕੁਝ ਹੀ ਦੇਸ਼ਾਂ ਦੇ ਨਾਮ ਗਿਣਾਏ ਹਨ। ਅਨੇਕ ਦੇਸ਼ ਬਹੁਤ ਪਹਿਲਾਂ ਤੋਂ ਇਸ ’ਤੇ ਕੰਮ ਸ਼ੁਰੂ ਕਰ ਚੁੱਕੇ ਹਨ। ਇਨ੍ਹਾਂ ਸਾਰੇ ਦੇਸ਼ਾਂ ਵਿੱਚ ਲ... | इसके अलावा त्यौहारों के दौरान पुरुष और महिलाएं परंपरागत तरीके से विभिन्न क्षेत्रीय नृत्यों में भाग लेती हैं, जो फिटनेस बढ़ाने में योगदान देते हैं। | 9 | NIv2 | task1012_pib_translation_punjabi_hindi | zs_opt | [
0.2596499025821686,
0.6491430401802063,
-0.2641713619232178,
-0.03766258433461189,
-0.005243819206953049,
-0.2703918516635895,
0.5385353565216064,
-0.1775108426809311,
-0.3912431001663208,
-0.5402980446815491,
-0.7606949806213379,
-0.7206237316131592,
-0.805182695388794,
0.5318158864974976... |
In this task, you are given Yelp reviews. The task is to classify a review as "POSITIVE" if the overall sentiment of the review is positive or as "NEGATIVE" if the overall sentiment of the review is negative.
[EX Q]: My go to breakfast place... It makes you feel like you aren't in Vegas anymore. The ambiance is great,... | POSITIVE
| 6 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.24113091826438904,
0.04576859623193741,
0.11894767731428146,
-0.0107432184740901,
0.36895108222961426,
-0.05383411794900894,
0.8288151621818542,
1.1824917793273926,
0.26765283942222595,
-0.22883620858192444,
0.03751134127378464,
0.012824160046875477,
-0.46206504106521606,
0.212220937013... |
In this task, you're given a short story of five sentences written in natural language. However, the order of the given story is not correct. Your job is to return the correct order for the given five sentences to create a coherent short story with the new order that has the correct flow. Generate your answer using the... | 54231 | 3 | NIv2 | task300_storycloze_order_generation | fs_opt | [
0.00031337118707597256,
0.3108450174331665,
-0.41696780920028687,
-0.3033726215362549,
-0.2928498089313507,
-0.05873836576938629,
0.17756719887256622,
0.8977743983268738,
0.2654208242893219,
0.1261480152606964,
-1.1593585014343262,
-0.2815469205379486,
-1.324873447418213,
0.083841025829315... |
In this task, you're given an article, a question which often contains a blank and four options (associated with "A", "B", "C", "D"). Your task is to find the correct answer (from the given options) for the question from the given article and return one of the options from "A", "B", "C", and "D". Do not generate anythi... | B
| 1 | NIv2 | task309_race_answer_generation | fs_opt | [
0.3224221467971802,
0.13584960997104645,
-0.3940016031265259,
-0.08049727231264114,
0.3515826463699341,
0.2728320360183716,
0.6834927797317505,
1.1296756267547607,
-0.1958082914352417,
0.07134383916854858,
0.3022851347923279,
0.4238017201423645,
-0.2891690135002136,
0.4074384570121765,
0... |
Given the task definition and input, reply with output. In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Chciał napisać powieść, co musi... | D | 5 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | zs_opt | [
-0.566150426864624,
0.981321394443512,
0.22121044993400574,
-0.2575526237487793,
-0.1667441576719284,
-0.4489777088165283,
0.8025904893875122,
-0.19535475969314575,
-0.1569589078426361,
-0.7331091165542603,
0.019721586257219315,
0.44101113080978394,
-0.3194977343082428,
-0.5187031030654907... |
Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: আর্থিক দিক থেকে দুর্বলতর শ্রেণীর জন্য ১০ শতাংশ সংরক্ষণের ক্ষেত্রে প্রথম রাজ্য হিসাবে যে উদ্যোগ গুজরাট নিয়েছে, প্রধানমন্ত্রী তার জন্যও ... | وزیر اعظم نے معاشی طور پر کمزور طبقے کے لئے 10 فی صد ریزرویشن کوٹہ کے سب سے پہلے نفاذ کے لئے گجرات کو مبارکباد بھی دی ۔ | 3 | NIv2 | task1069_pib_translation_bengali_urdu | zs_opt | [
-0.7638620734214783,
1.0143747329711914,
-0.012252753600478172,
-0.5310413837432861,
-0.196054607629776,
-0.6207901835441589,
0.7487291097640991,
0.06145024299621582,
0.004068379756063223,
-0.14335544407367706,
-0.8467718362808228,
-0.8060691356658936,
0.03354770690202713,
0.04600686579942... |
Given a 'poster' sentence and a corresponding 'response' (often, from Facebook or Reddit)classify the sentiment of the given response into four categories: 1) Positive, 2) Negative, 3) Neutral, and 4) Mixed if it contains both positive and negative.
Poster: Today is Law Enforcement Appreciation Day, and we thank the b... | Negative | 0 | NIv2 | task823_peixian-rtgender_sentiment_analysis | zs_opt | [
-0.9366855025291443,
-0.03160547837615013,
0.5373021364212036,
-0.21088376641273499,
0.4957959055900574,
-0.9341503381729126,
0.39702099561691284,
0.826368510723114,
0.850151538848877,
0.5957323312759399,
-0.05344105511903763,
0.10441194474697113,
-0.04685381427407265,
-0.2349318265914917,... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.
וארצה להסביר לכם לא בלבד מדוע זה הזמן לשנות זאת, אלא גם כיצד נוכל לעשות זאת.
A: | Vouvos explicar algo, non só o porqué é hora de cambiar isto senon cómo podemos facelo. | 7 | NIv2 | task1110_ted_translation_he_gl | zs_opt | [
-1.1221423149108887,
1.0729477405548096,
0.4405021667480469,
-0.6228340268135071,
-0.3469507694244385,
-0.946199893951416,
0.9278255105018616,
0.11788767576217651,
0.6588497161865234,
-0.40959081053733826,
0.2484782636165619,
0.41341692209243774,
-1.10770845413208,
0.3584457337856293,
0.... |
This task is about translating a given English language sentence to Spanish.
--------
Question: We must prepare 3 million.
Answer: Tenemos que preparar tres millones.
Question: The diet of human beings has been traditionally and always will be a diet based on starch with the addition of fruits and vegetables.
Answe... | ĄResponde, papá! Responde!
| 7 | NIv2 | task1691_qed_amara_translation | fs_opt | [
-0.13573488593101501,
0.5164119005203247,
0.10577273368835449,
-0.42191940546035767,
-0.7981680631637573,
-0.00996253453195095,
0.9647083282470703,
0.8089526891708374,
-0.42343878746032715,
-0.8350394368171692,
-0.20450833439826965,
0.13787144422531128,
-0.9569786190986633,
0.0570665709674... |
Teacher: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Teacher: Now, understand the problem? If you are still confused, see the following example:
My cat won't touch these. My dog, however, chews them and makes a mess all over the carpet and I can't get t... | Does nothing but make your skin a little numb, ... | 2 | NIv2 | task618_amazonreview_summary_text_generation | fs_opt | [
-0.3028383255004883,
0.06866002082824707,
0.08299802988767624,
-0.6336765289306641,
0.309306263923645,
-1.2587685585021973,
-0.1981080323457718,
0.5772677063941956,
0.023175843060016632,
0.632067084312439,
0.4240601658821106,
0.5995462536811829,
-0.8447197675704956,
-0.8407649993896484,
... |
Teacher: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Teacher: Now, understand the problem? If you are still confused, see the following example:
فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع... | El "" Met "" no fue diseñado como un museo de arte Americano, sino como un museo enciclopédico, y hoy, 140 años después, esa visión continua tan vigente como siempre, porque, por supuesto, vivimos en un mundo de crisis, de retos, y nos lo hacen saber las 24 horas del día todos los noticiarios. | 2 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.4367998242378235,
0.318340003490448,
-0.23527701199054718,
-0.0954355001449585,
-0.601738452911377,
-0.5100572109222412,
0.5824892520904541,
1.1522201299667358,
0.2859874367713928,
0.10030695796012878,
-0.10956086218357086,
0.41876649856567383,
-0.7466164827346802,
-0.1491195261478424,
... |
Part 1. Definition
Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand o... | yes | 7 | NIv2 | task361_spolin_yesand_prompt_response_classification | fs_opt | [
0.5572139620780945,
0.4841650724411011,
0.2574557662010193,
0.32570207118988037,
0.09315408766269684,
-0.9676167964935303,
0.24854126572608948,
0.5827062129974365,
0.44752129912376404,
-0.4392865300178528,
-0.6523668766021729,
-0.10854746401309967,
-0.5466933250427246,
0.11509955674409866,... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | a man is raking
| 0 | NIv2 | task189_snli_neutral_to_contradiction_text_modification | fs_opt | [
-0.4783859848976135,
0.8652950525283813,
-0.11049731075763702,
-0.4943971335887909,
-0.21155907213687897,
0.5080211162567139,
-0.09956207126379013,
0.7469087839126587,
0.48623600602149963,
-0.22132247686386108,
-0.9602013826370239,
-0.0553615540266037,
-0.24661995470523834,
-0.160449326038... |
TASK DEFINITION: In this task, you need to count the number of words in a sentence that contain the given letter
PROBLEM: Sentence: 'a van follows behind a bus on a rural road'. How many words contain the letter 'q' in the sentence.
SOLUTION: 0
PROBLEM: Sentence: 'a child is lighting candles on a cake'. How many word... | 0
| 8 | NIv2 | task161_count_words_containing_letter | fs_opt | [
-0.04117123782634735,
0.7506582736968994,
-0.4683656692504883,
-0.6124496459960938,
-0.557768702507019,
-0.034340061247348785,
0.8915649652481079,
0.3822284936904907,
-0.10326884686946869,
-0.3548371195793152,
-0.1592937707901001,
0.2279488742351532,
-0.25026288628578186,
0.351079940795898... |
Given the task definition, example input & output, solve the new input case.
In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Example: Sentence 1: Ma... | b | 1 | NIv2 | task220_rocstories_title_classification | fs_opt | [
-0.020230744034051895,
0.2127484232187271,
-0.3246592581272125,
0.3284148871898651,
0.07972981035709381,
0.023114338517189026,
-0.15838193893432617,
1.0185468196868896,
-0.14932990074157715,
0.22724467515945435,
-0.7041424512863159,
0.23742786049842834,
0.039975352585315704,
0.130486324429... |
Definition: 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 provides addit... | strengthener | 2 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
0.0352114699780941,
0.21820944547653198,
-0.4443046450614929,
-0.171148419380188,
-0.11557023972272873,
-0.9294466376304626,
1.2288249731063843,
0.9437601566314697,
0.7143918871879578,
-0.4927080273628235,
-1.2146453857421875,
-0.17539972066879272,
-0.5930678844451904,
0.13852190971374512,... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | longhouses, circular
| 5 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.6712967753410339,
0.12300457805395126,
-0.30023688077926636,
-0.22086641192436218,
-0.1542377918958664,
-0.9853019714355469,
0.7425215840339661,
1.0439664125442505,
-0.6645994186401367,
-0.1668265163898468,
-0.45320719480514526,
0.7729471921920776,
-0.5914826393127441,
0.6438341736793518... |
Detailed Instructions: In this task, you are given a context tweet and an answer. Your job is to generate a question for the given answer based on the given tweet paragraph. Note that your question should be answerable based on the given tweet, and the answer to your question should be the given answer.
Problem:Context... | how can you fly with #jupiter? | 8 | NIv2 | task240_tweetqa_question_generation | zs_opt | [
-1.334580898284912,
0.8151941299438477,
-0.0338171049952507,
0.04427586868405342,
-0.2603514790534973,
-0.9030869603157043,
0.44031623005867004,
0.3642616868019104,
0.18898962438106537,
0.0460081472992897,
-0.20351284742355347,
-0.08906257152557373,
-0.7683959007263184,
0.02612508088350296... |
Instructions: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.
Input: उद्योग भागीदारों को प्रमुख रक्षा एवं एयरोस्पेस मूल उपकरण निर्माताओं (ओईएम) के साथ छोटे एवं मध्यम आकार के उद्यमों (एसएमई) की आपूर्ति श्रृ... | ਪ੍ਰਮੁੱਖ ਰੱਖਿਆ ਅਤੇ ਏਅਰੋਸਪੇਸ ਮੂਲ ਉਪਕਰਨ ਨਿਰਮਾਣ ਕਰਤਿਆਂ (ਓਈਐੱਮਜ਼) ਨਾਲ ਛੋਟੇ ਅਤੇ ਦਰਮਿਆਨੇ ਦਰਜੇ ਦੇ ਉੱਦਮਾਂ (ਐੱਸਐੱਮਈ) ਲਈ ਸਪਲਾਈ ਲਡ਼ੀ ਵਿਕਸਤ ਕਰਨ ਲਈ ਉਦਯੋਗ ਭਾਈਵਾਲਾਂ ਨੂੰ ਪ੍ਰੋਤਸਾਹਿਤ ਕਰਨਾ। | 3 | NIv2 | task1011_pib_translation_hindi_punjabi | zs_opt | [
-0.736526608467102,
1.1113433837890625,
-0.3720932900905609,
-0.24854591488838196,
-0.16417549550533295,
-0.22782418131828308,
1.0160919427871704,
-0.06673666089773178,
0.01693648099899292,
0.11604514718055725,
-0.9282737970352173,
-0.05217144638299942,
-0.39026889204978943,
-0.21689385175... |
Instructions: In this task, you're given a review from Amazon and rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good. Your task is to generate whether the rating matches the review or not. Answer with "True" if the sentence b... | True | 3 | NIv2 | task1311_amazonreview_rating_classification | zs_opt | [
-0.13452455401420593,
-0.0171111598610878,
0.11375294625759125,
-0.17612136900424957,
0.16358226537704468,
-0.3016749620437622,
0.9857075214385986,
0.590530276298523,
0.05903986468911171,
0.40994662046432495,
-0.711525559425354,
-0.0520583800971508,
-0.7457154989242554,
0.23452165722846985... |
Detailed Instructions: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Problem:Context: In Ju... | Answer: none | 8 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | zs_opt | [
-0.03420429676771164,
0.899893045425415,
-0.14204785227775574,
-0.12957945466041565,
0.1709839105606079,
-0.5498614311218262,
0.8824902772903442,
0.8562987446784973,
-0.076271653175354,
0.17712734639644623,
-0.25046148896217346,
-0.5964963436126709,
-1.1982614994049072,
-0.1897571831941604... |
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'.
One example is below.
Q: Sentence1: Rick grew up in a troubled household. S... | No | 9 | NIv2 | task298_storycloze_correct_end_classification | fs_opt | [
-0.586514413356781,
0.7016403675079346,
0.4354706108570099,
-0.3303837776184082,
0.15892021358013153,
-0.4076821208000183,
0.10523714125156403,
1.1759318113327026,
0.3276119530200958,
0.10518814623355865,
-0.3332582712173462,
-0.3603808879852295,
-0.49411529302597046,
0.30653297901153564,
... |
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're given a review from Amazon and your task is to generate the name of the category of the product based on the review given by the user. The categories are: kitchen, office product... | home | 0 | NIv2 | task617_amazonreview_category_text_generation | fs_opt | [
-0.6795826554298401,
0.0903245061635971,
-0.6544487476348877,
0.3432125449180603,
0.6985957622528076,
0.08063316345214844,
0.2677956819534302,
0.878384530544281,
-0.42132332921028137,
0.4676172137260437,
0.6769146919250488,
0.2526834011077881,
-0.5327736139297485,
-0.07229771465063095,
-... |
Instructions: 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.
Input: [[-45, -42, 32], [14, -12, -1... | [60480, 1848, 266] | 3 | NIv2 | task371_synthetic_product_of_list | zs_opt | [
-0.1553623378276825,
0.3314937353134155,
-0.8222140073776245,
-0.3465327024459839,
-0.31282728910446167,
0.07705196738243103,
1.5006122589111328,
-0.2687234878540039,
-0.16201183199882507,
-0.5096800327301025,
-1.1360244750976562,
0.2612111568450928,
-0.4449097514152527,
-0.314407706260681... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Realmente, desde luego el famoso libro de "" Drácula "", escrito por un compatriota del norte de Dublín, Bram Stoker, probablemente sea el principal responsable de esto. | Really, of course the famous book "" Dracula, "" written by a fellow Northside Dubliner Bram Stoker, probably is mainly responsible for this. | 0 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.14636187255382538,
0.6848483085632324,
0.18418164551258087,
-1.1806632280349731,
-0.6276838779449463,
0.08032871037721634,
0.5482510328292847,
-0.16725659370422363,
0.6477489471435547,
-0.7353295683860779,
0.03152179718017578,
0.33144038915634155,
-1.5647261142730713,
-0.273479461669921... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Example input: Passage: The group was occasion... | Answer: 2 | 3 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.3432854115962982,
0.18903985619544983,
-0.6689361333847046,
0.21825455129146576,
0.537156343460083,
-0.7334409952163696,
0.9535078406333923,
0.7799891233444214,
0.21985019743442535,
-0.06153210252523422,
-0.2693510949611664,
0.3283829092979431,
-0.5817855596542358,
0.16869086027145386,
... |
Teacher:Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.
Teacher: Now, understand the problem? Solve this instance: Context : Simon Grascher (18 December 1920 -- 14 July 1943) was a Unterscharfü... | What is the war during which Simon Grascher was in the armed forces? | 6 | NIv2 | task1326_qa_zre_question_generation_from_answer | zs_opt | [
0.6806460022926331,
-0.26708805561065674,
0.21196386218070984,
-1.0051581859588623,
0.18791645765304565,
-2.0249481201171875,
0.3256909251213074,
0.36663851141929626,
0.14452332258224487,
0.6388279795646667,
0.19761796295642853,
1.3224323987960815,
-1.3787055015563965,
0.06682626903057098,... |
Given a sentence in Italian, generate a new Italian 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... | Un banchiere presta denaro ai clienti.
| 0 | NIv2 | task408_mickey_it_sentence_perturbation_generation | fs_opt | [
0.11838698387145996,
0.49643492698669434,
-0.2948148250579834,
-0.18817943334579468,
-0.09566354006528854,
-0.6736996173858643,
0.6013252139091492,
1.6423790454864502,
-0.4422406554222107,
-0.5497833490371704,
-0.7098195552825928,
0.6967535018920898,
-0.8751100897789001,
0.1274784803390503... |
Teacher: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Teacher: Now, understand the problem? If you are still confused, see the followin... | Yes | 2 | NIv2 | task434_alt_en_hi_answer_generation | fs_opt | [
-0.172010138630867,
-0.11190295964479446,
0.40631842613220215,
0.5634751915931702,
0.5163717269897461,
-1.0412447452545166,
0.18864670395851135,
0.3693295121192932,
-0.6539084315299988,
0.027779512107372284,
0.21576766669750214,
0.35751664638519287,
-0.16402533650398254,
0.1177870184183120... |
Part 1. Definition
Write a question from the passage such that it identifies a character (a person or a thing) in the passage.
Part 2. Example
I really struggle to feel bad for people who actively choose to be miserable and manipulative. I'm dorky and like to use little proverbs all the time. One of my favorites is thi... | Who returned from the Farmer's Market with a four-pound fish? | 7 | NIv2 | task886_quail_question_generation | fs_opt | [
0.7687113285064697,
0.7173349261283875,
-0.293645977973938,
-0.5255603790283203,
0.39524829387664795,
-0.6950886249542236,
1.0813252925872803,
0.8659396171569824,
-0.04153044521808624,
-0.23464085161685944,
-0.047165609896183014,
0.05985286086797714,
-1.1811920404434204,
0.1334502249956131... |
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 provides additional inform... | strengthener | 9 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.0332188606262207,
0.41356080770492554,
-0.28413569927215576,
-0.09023503959178925,
0.005958928726613522,
-0.9847086668014526,
1.1446129083633423,
1.3740730285644531,
0.7819318771362305,
-0.42793792486190796,
-1.287867784500122,
0.10769246518611908,
-0.7163577675819397,
0.0060533657670021... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Japanese.
Q: Najpierw opowiem wam o jednym z nich.
A: | まず１人取り上げましょう | 4 | NIv2 | task1257_ted_translation_pl_ja | zs_opt | [
-0.6872538328170776,
0.2759421467781067,
-0.017198404297232628,
-0.3254777193069458,
-0.04514072462916374,
-0.044370874762535095,
0.9970299005508423,
-0.5322508811950684,
0.33936506509780884,
-0.5574009418487549,
-0.15979385375976562,
-0.15696018934249878,
-0.6910750865936279,
0.5032633543... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.
--------
Question: A sua visão era muito fraca.
Answer: La sua vista era molto scarsa.
Question: Eu sou um artista plástico.
Answer: Sono un artista visivo.
Question: Trouxe sete pares de cuecas. e foi só isso.
... | Mi sono portata sette paia di biancheria, e nient'altro.
| 7 | NIv2 | task1280_ted_translation_pt_it | fs_opt | [
-0.16135859489440918,
0.983719527721405,
0.06255318969488144,
0.2867332696914673,
-0.06599416583776474,
-0.3856087625026703,
0.23928585648536682,
0.7018589973449707,
0.22045034170150757,
-0.15238195657730103,
-0.7297785878181458,
0.6420539021492004,
0.21916334331035614,
0.5797426104545593,... |
Instructions: Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: Sekali pemberitahuan ditarik, mereka digantikan dengan sebuah pesan yang berkata: "Tweet/akun ini telah dit... | 一旦投稿が撤回されると、「このツイート／アカウントはこの国で停止されている：国名」というメッセージに置き換えられる。 | 3 | NIv2 | task1116_alt_id_ja_translation | zs_opt | [
0.2653278708457947,
0.21523374319076538,
0.4094451665878296,
-0.14633259177207947,
-0.22235994040966034,
-0.2775556445121765,
0.48279041051864624,
0.37744519114494324,
-0.06651719659566879,
0.06936393678188324,
-0.6103951930999756,
-0.37591153383255005,
-0.7950676679611206,
0.4248005747795... |
In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
One example is below.
Q: [2, 5, 9, 6, 11]
A: [2, 5, 11]
Rationale: 6 and 9 a... | [-86, 17, 56, 41] | 9 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
-0.045381881296634674,
0.01993585005402565,
-0.055288687348365784,
-0.9457744359970093,
0.2771729528903961,
-0.39646363258361816,
0.7516916990280151,
0.06206047162413597,
-0.2102503627538681,
0.2577342987060547,
-0.6903505921363831,
-0.03838164359331131,
-0.08762966841459274,
-0.5142118334... |
In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
То определено е от значение за европейците, както те охотно биха потвърдили. | It is certainly the concern of Europeans, as they are happy to tell us. | 0 | NIv2 | task271_europarl_translation | zs_opt | [
0.24374492466449738,
0.9216872453689575,
0.3901236057281494,
0.476751446723938,
-0.3732996881008148,
-0.4718168377876282,
1.3840467929840088,
-0.12294144928455353,
0.7872101664543152,
-0.636460542678833,
-0.10775740444660187,
0.5872341394424438,
-0.3441159725189209,
-0.06559205055236816,
... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronoun... | A female is playing an instrument.
****
| 4 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
-0.7773759365081787,
0.9824730157852173,
-0.19436015188694,
-0.6044495105743408,
-0.23518794775009155,
0.23313818871974945,
0.5199875831604004,
0.441368043422699,
0.48949283361434937,
-0.19325530529022217,
-0.47134914994239807,
-0.21855346858501434,
-0.3027018904685974,
0.2613256871700287,... |
Detailed Instructions: In this task, you are given a question. You have to answer the question based on your information.
Q: What highway is Kentucky 7 km off of and is 878 km long?
A: | New England Highway | 9 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.18877777457237244,
1.2491774559020996,
0.13134121894836426,
0.10633765161037445,
-0.19713819026947021,
0.03333301842212677,
-0.5646531581878662,
-0.1910753846168518,
-0.33100324869155884,
-0.37247854471206665,
-0.04083430767059326,
-0.07370413839817047,
0.3370020389556885,
-0.0073223542... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjec... | N | 4 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
0.005837678909301758,
0.5902022123336792,
-0.2295149266719818,
-0.10514504462480545,
-0.35594677925109863,
-0.39034155011177063,
0.4326174259185791,
0.10516279935836792,
0.322218120098114,
-0.0041521452367305756,
-0.044102009385824203,
0.6319193840026855,
-0.18836642801761627,
0.1573935747... |
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.
Q: ففي أوائل شهر يونيو/حزيران أصدر الاتحاد... | Arabic | 4 | NIv2 | task1370_newscomm_classification | zs_opt | [
0.025299711152911186,
0.17970293760299683,
0.9236464500427246,
-0.3706094026565552,
0.39152050018310547,
0.0351654514670372,
0.8607699871063232,
0.3815118372440338,
0.48763465881347656,
0.2804794907569885,
0.3581797778606415,
0.2885013222694397,
-0.6286832094192505,
-0.21336501836776733,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Portugese.
Została zaprojektowana jak siedziba korporacji, z ogromnym atrium w środku budynku, prowadzącym do sal bez tylnych ścian. | Infelizmente, foi desenhada como se fosse a sede de uma empresa, com um átrio central enorme e salas de aulas à volta, sem paredes a separar. | 0 | NIv2 | task1264_ted_translation_pl_pt | zs_opt | [
-0.1306505650281906,
1.101326823234558,
-0.4300628900527954,
-0.08639220893383026,
-0.43655312061309814,
-0.3426324129104614,
-1.1661475896835327,
0.45112138986587524,
0.8047897219657898,
0.44153010845184326,
0.22876012325286865,
0.39809244871139526,
-0.3753722012042999,
0.0981672778725624... |
Detailed Instructions: 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 a... | [-16, -17, 17, 15, -5, -12, -5, -19, -5, -6] | 8 | NIv2 | task096_conala_list_index_subtraction | zs_opt | [
0.4176678955554962,
0.180112823843956,
-0.6880494356155396,
-0.19920964539051056,
-0.019161321222782135,
-0.16221019625663757,
1.4280786514282227,
0.18871968984603882,
0.13417747616767883,
-0.4043920636177063,
-0.5716580152511597,
-0.06285965442657471,
-0.4562854766845703,
-0.1340737491846... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
civil
sidereal
acid-loving
alkaline-loving
salty
| fresh
| 0 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
-0.10988491773605347,
1.4061379432678223,
0.5666713714599609,
-0.5462530851364136,
-0.2590729296207428,
-0.6247444152832031,
0.016723476350307465,
-0.12889528274536133,
0.3755139410495758,
-0.6496530771255493,
-0.27325689792633057,
-0.6142979860305786,
-1.6175181865692139,
-0.1081606149673... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example input: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です
Example output: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Exa... | La ética es algo difícil. | 3 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.7482677698135376,
0.5575621724128723,
0.2137911319732666,
-0.9054580926895142,
-0.9711840152740479,
0.10381840169429779,
-0.3267727792263031,
0.1709500551223755,
-0.1730104684829712,
-0.5746737718582153,
-0.026145100593566895,
-0.07869367301464081,
-1.146794080734253,
-0.243829160928726... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Spanish.
אני הולך לעבודה, בודק דוא "" ל, ניגש לעוד כמה אתרים חברתיים, כותב בבלוג, בודק עוד עדכוני חדשות, משתף כמה מהדיווחים החדשותיים, מסתכל על כמה סרטונים, יום די טיפוסי — במקרה הזה, למעשה די פדנטי — ובסןף היום, כשהיום נרגע, הביטו ב... | Voy a trabajar, reviso mi correo electrónico, me conecto a más sitios sociales, blogueo, leo más noticias, comparto algunas de ellas, voy a ver algunos videos, un día bastante típico – en este caso, en realidad, bastante pedante – y al final del día, cuando tengo menos actividades, miro mi perfil. | 0 | NIv2 | task1236_ted_translation_he_es | zs_opt | [
-1.1850591897964478,
-0.08632288873195648,
-0.05610550194978714,
-0.06630028039216995,
-0.3543100953102112,
-0.4078736901283264,
0.5833376049995422,
0.3775002956390381,
0.6864173412322998,
-0.7413247227668762,
0.05981728807091713,
-0.21752071380615234,
-0.578041672706604,
-0.19604793190956... |
instruction:
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an indi... | green_basket
| 9 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
-0.18304303288459778,
0.002687374595552683,
-0.24572278559207916,
-0.4808884561061859,
-0.5249691009521484,
-1.0150926113128662,
-0.11724682152271271,
0.5905959010124207,
0.1775720715522766,
0.10270604491233826,
0.019716545939445496,
0.4477956295013428,
0.2703492045402527,
-0.0149179939180... |
Q: In this task, a passage will be given and the goal is to identify an event from the passage. An event is defined as a single word representing something that happened, is happening, or may happen. An event can be factual or hypothetical, positive or negative, certain or uncertain. While most events are based on verb... | reduce | 7 | NIv2 | task388_torque_token_classification | zs_opt | [
0.811726450920105,
0.7673244476318359,
-0.16374757885932922,
-0.07172972708940506,
-0.039362553507089615,
-0.7795426249504089,
0.213700532913208,
0.8042757511138916,
0.017281316220760345,
0.06898525357246399,
0.11491689085960388,
0.2018766552209854,
-0.5967531204223633,
0.28619107604026794... |
Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
English sentence: 15 Only the LORD had a delight in thy fathers to love them, and he chose their seed after them, even you above all people, as it is this day.
15 Oo waxaa keliyahoo Rabbi... | 3 Markaasuu igu yidhi, Kanu waa habaarka soo baxay oo dhulka oo dhan kor maraya, waayo, ku alla kii wax xada waxaa lagu baabbi'in doonaa sida dhankiisan ku qoran, oo ku alla kii been ku dhaartana waxaa lagu baabbi'in doonaa sida dhankiisa kale ku qoran.
| 0 | NIv2 | task446_opus_paracrawl_en_so_translation | fs_opt | [
-0.10766249895095825,
0.7693474888801575,
0.05224663019180298,
0.27433058619499207,
-0.35439521074295044,
-0.41584834456443787,
0.6312066316604614,
1.0865874290466309,
0.07814651727676392,
0.03287772089242935,
-0.5538281202316284,
0.9908832311630249,
-0.5213499069213867,
-0.016840178519487... |
Detailed Instructions: In this task you will be given a list of integers. You should remove all of the integers that are divisible by 3 from the list. If every integer in the input list is divisible by 3 then an empty list should be returned. Zero is divisible by 3.
See one example below:
Problem: [2, 5, 9, 6, 11]
Solu... | [31, -32, -5] | 4 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.3159114718437195,
-0.2522435784339905,
-0.22306494414806366,
-0.7461633682250977,
0.30800411105155945,
-0.3995906114578247,
0.7206643223762512,
0.064460389316082,
-0.36477822065353394,
0.26859867572784424,
-0.790267825126648,
-0.26460057497024536,
-0.24640676379203796,
-0.375530481338501... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Q: Son voltas de acople.
A: | フィードバックのループ。 | 9 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
0.1602535843849182,
0.49353480339050293,
-0.16399255394935608,
-0.2483872026205063,
-0.3620109558105469,
-1.2173573970794678,
0.47614046931266785,
0.9457702040672302,
-0.20317478477954865,
-0.4246716797351837,
-0.011487115174531937,
0.29307985305786133,
-0.5726561546325684,
-0.023034369572... |
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 | 4 | NIv2 | task1209_atomic_classification_objectuse | zs_opt | [
0.5775564908981323,
0.03412450850009918,
0.24984925985336304,
-0.3122589588165283,
-0.46556419134140015,
-1.0266284942626953,
1.3752009868621826,
0.6166516542434692,
-0.4353419840335846,
-0.06143680214881897,
-0.4440137445926666,
-0.20669201016426086,
-0.18950986862182617,
0.04261257499456... |
In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Let me give you an example: Passage: Mary moved to the b... | Where is John? | 8 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | fs_opt | [
0.37484610080718994,
0.8069934844970703,
-0.9511010646820068,
-0.4412655234336853,
-0.27740970253944397,
-0.46906861662864685,
0.2782047390937805,
0.26434552669525146,
0.23822005093097687,
0.13407963514328003,
-0.019840387627482414,
0.23971116542816162,
-0.26050442457199097,
-0.27671003341... |
Detailed Instructions: In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
See one example below:
Problem: Katrina gave Christine a stuffed animal for their birthday, but _ already had this one. (A) Katrina... | B | 4 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.26905182003974915,
0.49903181195259094,
-0.42404672503471375,
-0.5710405707359314,
-0.15553481876850128,
-0.6219937801361084,
0.9305374622344971,
0.9731295108795166,
-0.13418617844581604,
0.11910557746887207,
0.5779739618301392,
0.4498419463634491,
0.40293627977371216,
0.010638372972607... |
In this task, you are given a sentence in the Gujarati language and your task is to convert Gujarati sentence into the English language.
Example: ઘેટાંની ટોળાં એક ગોચરમાં ચરાઈ સાથે મળીને ઊભા છે.
Example solution: A herd of sheep standing together grazing in a pasture.
Example explanation: The translated sentence also t... | Solution: A blue sign with white images of an Adult and Child holding hands, and a bicycle. | 5 | NIv2 | task439_eng_guj_parallel_corpus_gu_en_translation | fs_opt | [
-0.37304964661598206,
0.2587404251098633,
0.1520005315542221,
-0.23187005519866943,
0.27702391147613525,
-0.6441205739974976,
-0.405815064907074,
0.3191366195678711,
-0.160821795463562,
-0.2926108241081238,
-0.5705772638320923,
0.33547264337539673,
-0.4314292073249817,
-0.20667171478271484... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
Let me give you an example: Os astrónomos acreditam que cada estrela da galáxia tem um planeta, e especulam que até um quinto deles tem um planeta do tipo da Terra que poderá ter vida, mas ainda não vimos nenhum dele... | They give researchers a handle on where to go. | 8 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.2962563633918762,
0.5750261545181274,
-0.1997002512216568,
-0.5811560153961182,
-0.30978691577911377,
-0.6750632524490356,
-0.18420690298080444,
0.4401499927043915,
0.49886420369148254,
-0.49586865305900574,
-0.4644685387611389,
0.6900672912597656,
-0.4806123971939087,
0.118300601840019... |
Part 1. Definition
You will be given two pieces of text with the same meaning. One of them is simpler and easier to understand for non-native English speakers. Complex texts may contain more difficult words, have unnecessary phrases or contain long sentences. Your task is to choose the simpler piece of text. You are ex... | Text one | 7 | NIv2 | task112_asset_simple_sentence_identification | fs_opt | [
-0.2946285605430603,
0.14647716283798218,
-0.3265778720378876,
-0.46305203437805176,
0.5336399674415588,
-0.09235112369060516,
0.3577119708061218,
0.5245963335037231,
-0.4321778118610382,
0.2448720633983612,
-0.8355294466018677,
-0.32291942834854126,
-0.7280260920524597,
-0.151899158954620... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers ins... | Yes | 0 | NIv2 | task245_check_presence_in_set_intersection | fs_opt | [
0.7794910669326782,
-0.24307121336460114,
-0.5015996098518372,
0.32792168855667114,
-0.010897327214479446,
-0.5584690570831299,
1.0614442825317383,
0.569203794002533,
-0.3349202275276184,
-0.0033162920735776424,
-0.4423622488975525,
-0.07179513573646545,
0.1632601022720337,
-0.416109234094... |
Instructions: In this task, you will be shown a conversation and a question. You need to answer the question and choose the correct option based on the conversation. "W" and "M" in the conversations stand for "woman" and "man".
Input: M: Emily, what do you do as a trendspotter? W: Very simple. Take digital photos of yo... | (B) To attract young people to their new products. | 3 | NIv2 | task247_dream_answer_generation | zs_opt | [
-0.2892528772354126,
-0.10213136672973633,
-0.6394867300987244,
-0.11378036439418793,
-0.007515922654420137,
0.008175131864845753,
-0.275987446308136,
0.9216883182525635,
-0.452128529548645,
0.18192614614963531,
-0.21496745944023132,
0.37152332067489624,
-0.3126513957977295,
0.404293626546... |
In this task you will be given a list of strings and you need to concatenate them.
--------
Question: ['flood.', 't', 'for', 'G', 'tail.', 't', 'Z', 'f', 'to', 'l', 'yet', 'l', 'h', 'a', 'it.', 'Z']
Answer: flood.tforGtail.tZftolyetlhait.Z
Question: ['m', 'H', 'V', 'q', 'W', 'S']
Answer: mHVqWS
Question: ['c', 'm... | cmostc
| 7 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.1525813192129135,
0.5427632927894592,
0.4294554591178894,
-0.4707176685333252,
0.48022210597991943,
-1.8540592193603516,
-0.27559909224510193,
0.22612334787845612,
-0.6437420845031738,
-0.17983514070510864,
0.03465341031551361,
-0.5519012212753296,
-0.5691052079200745,
-0.18864983320236... |
Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the ev... | No | 8 | NIv2 | task1212_atomic_classification_hasproperty | zs_opt | [
0.3171430230140686,
0.4351682662963867,
0.4888884425163269,
-0.2319801151752472,
-0.6420015096664429,
-0.9105468988418579,
0.8289492726325989,
0.5785496234893799,
-0.42586809396743774,
-0.4773280620574951,
-0.6074628829956055,
-0.4486543536186218,
-0.5660935640335083,
0.1818140745162964,
... |
Teacher:Generate an explanation for the given claim using the provided supporting material from the paragraph. Please consider the following points while generating an output. 1) The claim will always have supporting proof in the paragraph, and the paragraph will have a clear point of view supporting the claim. 2) Ther... | A surge in coronavirus cases in Detroit has put Michigan on track to be one of the U.S. states hardest hit by the pandemic, the city’s mayor said on Thursday, adding that hospitals were scrambling to increase capacity. | 6 | NIv2 | task1369_healthfact_sentence_generation | zs_opt | [
0.649612307548523,
0.20731616020202637,
-0.39928823709487915,
-0.39175498485565186,
0.4031246304512024,
-0.400109201669693,
0.04206598922610283,
1.2691045999526978,
-0.42690417170524597,
0.39360445737838745,
-0.40166324377059937,
0.8582716584205627,
-0.6930793523788452,
0.4662437438964844,... |
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 Hindi language or English language. You task is to identify the language of input sentence. Input sentence can be in Hindi or English language only and also it cannot have two langu... | Hindi | 1 | NIv2 | task427_hindienglish_corpora_hi-en_language_identification | zs_opt | [
-0.22548142075538635,
0.469988614320755,
0.6103079319000244,
0.32283255457878113,
0.2800184488296509,
-0.7951765060424805,
0.4232034981250763,
0.530514657497406,
0.2813962697982788,
-0.5208041667938232,
-0.0694429874420166,
-0.12181703001260757,
0.09422704577445984,
-0.5465120077133179,
... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
Example: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrillate before hospital arrival. The authors analyz... | Solution: Frontal lobe dysfunction in Parkinson's disease. The cortical focus of neostriatal outflow. | 5 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.48280060291290283,
0.03549666330218315,
-0.3088551163673401,
-0.4071149528026581,
0.6063494682312012,
-0.05454831197857857,
0.9058043360710144,
0.16132387518882751,
0.23235079646110535,
0.49944058060646057,
-0.4017150402069092,
0.4652588963508606,
-0.4414021372795105,
0.5842083692550659,... |
You will be given a definition of a task first, then some input of the task.
Use a disfluent question or a proper question and find the answer to the question based on the given context or return None if an answer can't be found. A disfluent question is a question that has some interruptions in it while framing. A prop... | None | 1 | NIv2 | task1625_disfl_qa_asnwer_generation | zs_opt | [
0.6495373845100403,
0.3047080934047699,
-0.6008201837539673,
-0.17236730456352234,
0.47493404150009155,
0.018415840342640877,
-0.2734246850013733,
0.9594011306762695,
-0.2777451276779175,
0.14530621469020844,
0.5593439340591431,
0.17527756094932556,
-0.45319879055023193,
0.3412553966045379... |
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the... | someon in a sweatshirt walks away from a child | 0 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
-0.36126965284347534,
0.812235951423645,
0.039236389100551605,
-0.6489014625549316,
-0.2880288064479828,
-0.22509092092514038,
0.10152197629213333,
0.43116462230682373,
0.45609018206596375,
-0.5806116461753845,
-1.2530851364135742,
-0.6836164593696594,
-0.692378044128418,
-0.43800806999206... |
Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive category.
---... | Offensive
| 7 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.11423636972904205,
-0.013302110135555267,
0.5071057677268982,
0.45802637934684753,
0.0007068364648148417,
-1.3168281316757202,
-0.45968136191368103,
0.4965173006057739,
0.28826403617858887,
0.2361677587032318,
-0.07667185366153717,
-0.58507239818573,
-0.576288104057312,
-0.8201767206192... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | Output: go to a movie
| 2 | NIv2 | task595_mocha_answer_generation | fs_opt | [
-0.2494962513446808,
0.8438738584518433,
0.15965309739112854,
-0.5596616268157959,
-0.4608076810836792,
-0.23205871880054474,
0.4326404929161072,
0.6835564374923706,
-0.1621129810810089,
-0.3613486886024475,
-0.5688140988349915,
0.5317970514297485,
-1.0422393083572388,
-0.03089047037065029... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the o... | ['We', 'have', 'the', 'absolute', 'value', 'of', '2', 'R', 'minus', '3', 'and', '1/4', 'is', 'less', 'than', '2', 'and', '1/2,', 'and', 'we', 'want', 'to', 'solve', 'for', 'r.', 'So', 'right', 'from', 'the', 'get-go', 'we', 'have', 'to', 'deal', 'with', 'this', 'absolute', 'value.', 'And', 'just', 'as', 'a', 'bit', 'of... | 1 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | fs_opt | [
0.7222170233726501,
0.2667454183101654,
-0.03552727401256561,
0.17707228660583496,
0.663580060005188,
-0.5763905644416809,
0.24894364178180695,
1.1925580501556396,
-0.6162680983543396,
-0.06231701374053955,
-0.30991193652153015,
-0.31095147132873535,
-0.2534135580062866,
-0.054754648357629... |
In this task, you have to generate the title of the recipe given its required ingredients and directions.
[EX Q]: ingredients: 'scrubbed crab shells', '1 small onion, chopped', '2 Tbsp. margarine', '2 Tbsp. flour', '1 c. half and half', 'Worcestershire sauce to taste', 'wine to taste', '1 lb. crab meat', 'salt', 'pep... | Sesame-Crusted Mahi Mahi With Cucumber-Watercress Salad
| 6 | NIv2 | task569_recipe_nlg_text_generation | fs_opt | [
0.29251015186309814,
0.08209694921970367,
-0.8971210718154907,
-0.13342781364917755,
0.5280823707580566,
-0.2886631488800049,
0.7948369979858398,
0.8021500706672668,
-0.37122243642807007,
0.2088477462530136,
0.39055246114730835,
0.18621331453323364,
-0.7972495555877686,
0.1911253035068512,... |
Teacher:Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive categ... | Hate Speech | 6 | NIv2 | task904_hate_speech_offensive_classification | zs_opt | [
-0.7093209624290466,
0.43523988127708435,
0.18517446517944336,
0.7196091413497925,
0.01926170289516449,
-0.7327476739883423,
0.2749352753162384,
0.7783334255218506,
0.4386642277240753,
0.11932720243930817,
-0.17745910584926605,
-0.22956505417823792,
-0.65259850025177,
-0.8469610214233398,
... |
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 provides additional inform... | strengthener
| 5 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.6517542600631714,
0.3971283435821533,
-0.7017601728439331,
-0.12278494238853455,
-0.04888838902115822,
-0.8472285270690918,
0.9027113914489746,
1.6260950565338135,
0.3278208374977112,
-0.3537052869796753,
-1.1015959978103638,
0.1962892711162567,
-0.7468892335891724,
-0.23512472212314606,... |
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
One example is below.
Q: Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectly we... | Negative | 9 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.21025720238685608,
0.44759872555732727,
0.2731524705886841,
-0.3398238718509674,
-0.1533328890800476,
-0.7163832187652588,
1.042256236076355,
0.5179181694984436,
0.22995370626449585,
-0.17332860827445984,
-0.009689463302493095,
0.1783788949251175,
-0.6108283400535583,
0.1279620826244354... |
Detailed Instructions: This task is to translate a news commentary statement given in German language into Spanish 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.
See one example below:
Probl... | Un Escenario Apocalíptico | 4 | NIv2 | task1373_newscomm_translation | fs_opt | [
-1.1811144351959229,
0.6047405004501343,
-0.41377827525138855,
-0.05111496150493622,
-0.2431854009628296,
-0.32221853733062744,
0.5257053375244141,
1.5347789525985718,
0.464458167552948,
-0.19121721386909485,
-0.16342793405056,
0.29809343814849854,
-0.7014588117599487,
-0.2637938857078552,... |
In this task, you are given a hateful post in English from online platforms. You are expected to classify the post into two classes: aggresive or non-aggresive. An aggresive post is one that expresses feelings and opinions in an abusive way and tries to dominate others. Note that the URLs in the text have been replaced... | Aggresive | 9 | NIv2 | task335_hateeval_classification_aggresive_en | fs_opt | [
-0.1755155324935913,
0.5902136564254761,
0.9567599296569824,
0.22883084416389465,
-0.36790162324905396,
-1.465658187866211,
0.17935656011104584,
1.0937882661819458,
0.06932598352432251,
0.7112107276916504,
0.10167409479618073,
-0.009315429255366325,
-0.47482115030288696,
-0.833758950233459... |
Detailed Instructions: 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.
See one example below:
Problem: [-83, 53, -48, 8]
Solution: [-80, 50, -50, 10]
Explanation: The output correctly rounds... | [240, -900, -380, -320, -600] | 4 | NIv2 | task373_synthetic_round_tens_place | fs_opt | [
-0.18529903888702393,
0.47660118341445923,
-0.5468299388885498,
-0.28318557143211365,
-0.15832127630710602,
-0.36427128314971924,
1.1940163373947144,
-0.19100061058998108,
0.04766318202018738,
0.41486406326293945,
-0.5698520541191101,
0.04363266006112099,
-0.28576210141181946,
0.1194199398... |
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