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 |
|---|---|---|---|---|---|---|
Detailed Instructions: Given a phrase describing the relationship between two words, extract the words and the lexical relationship between them. The relation has to be of the type 'MemberOf', 'MadeOf', 'Synonym', 'Entails', 'HasA', 'HasProperty', 'PartOf', 'Antonym' or 'IsA'. The output should have the format: word1 r... | knowledge HasProperty abstract | 4 | NIv2 | task1510_evalution_relation_extraction | fs_opt | [
0.48939016461372375,
1.0487756729125977,
0.11760745197534561,
-0.4683201014995575,
-0.27342164516448975,
-0.414704829454422,
0.3927403688430786,
0.41374701261520386,
0.6794682741165161,
-0.5680991411209106,
-0.463298499584198,
0.37869954109191895,
-0.8695142269134521,
0.210335835814476,
... |
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... | lived | 7 | NIv2 | task388_torque_token_classification | zs_opt | [
0.46301573514938354,
1.0276272296905518,
-0.07687285542488098,
0.2932707369327545,
-0.12167295813560486,
-0.6346285343170166,
-0.011083942838013172,
1.3755011558532715,
-0.057492293417453766,
0.1598784625530243,
-0.6802390813827515,
0.5097448229789734,
-0.9041731357574463,
0.00753101753070... |
TASK DEFINITION: Given a set of five words, generate the word from the set that does not belong (i.e. is the least relevant) with the other words. Words are separated by commas.
PROBLEM: firm, tough, solid, hard, streamline
SOLUTION: streamline
PROBLEM: team, french toast, club, bacon, hamburger
SOLUTION: team
PROB... | level
| 8 | NIv2 | task142_odd-man-out_classification_no_category | fs_opt | [
0.8123476505279541,
0.6428728103637695,
-0.13746583461761475,
0.056335803121328354,
0.3679655194282532,
0.33650463819503784,
0.9346013069152832,
-0.1844331920146942,
0.3459663987159729,
-0.2161661684513092,
-0.46825194358825684,
0.14811527729034424,
-1.2681152820587158,
-0.0508778691291809... |
Given a sentence, fill out the missing word with a 'no' or a number (between zero and ten). You should write the numbers with english alphabet, like: four instead of 4.
One example is below.
Q: Female snakes incubate eggs inside of their bodies, giving birth to live young of ____ or more.
A: ten
Rationale: Snakes give ... | two | 9 | NIv2 | task1359_numer_sense_answer_generation | fs_opt | [
-0.6907442808151245,
0.622016429901123,
-0.058052752166986465,
-0.5561622381210327,
-0.06926277279853821,
-0.4055662453174591,
0.6511561870574951,
0.6495503187179565,
-0.2518689036369324,
0.04113142564892769,
0.29336193203926086,
0.5293236970901489,
-1.1717160940170288,
-0.0934118777513504... |
Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: 最初はシトロエン・ピカソを運転していたが、車をぶつけた後は歩いていたと言う。
Answer: Sauna nagmamaneho ng isang Citroën Picasso, di nagtagal sinabi niya na naglalak... | Ang buto ay pinadala sa Instituto ng Porensiko sa Olanda kung saan kinumpleto ng mga siyentipiko ang mga pagsusuri.
| 7 | NIv2 | task1118_alt_ja_fil_translation | fs_opt | [
-0.06725691258907318,
-0.0903121680021286,
-0.34668809175491333,
0.09453350305557251,
-0.1715896725654602,
-0.5902880430221558,
0.8312855958938599,
-0.10522331297397614,
-0.5659568309783936,
-0.07718261331319809,
-0.4796299636363983,
0.6389027237892151,
-0.8874884843826294,
0.6339806914329... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is to translate a news commentary given in Dutch language into Portuguese language. Translate the input statement into the output language while preserving the numberical values, special c... | O modelo de crescimento da China, assente no investimento e nas exportações, está a perder vitalidade. | 0 | NIv2 | task1375_newscomm_translation | fs_opt | [
-0.1501462459564209,
0.6991329193115234,
-0.15916672348976135,
-0.12912803888320923,
-0.32076042890548706,
0.35090816020965576,
0.09873313456773758,
0.9845969676971436,
0.3185970187187195,
0.08256151527166367,
-0.3902795910835266,
0.8026185035705566,
-0.8156564235687256,
0.2139000594615936... |
Detailed Instructions: You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Problem:System Reference: i am sorry i am not finding any hotels in the twin peaks area.
Orig... | 1 | 8 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.7296571731567383,
0.8261309266090393,
-0.6583526730537415,
0.17013154923915863,
-0.517528772354126,
-1.0665490627288818,
0.9434137940406799,
0.540823221206665,
-0.3369244337081909,
-0.45036906003952026,
-0.8444401025772095,
-0.047678377479314804,
-0.7181172966957092,
-0.4524613618850708... |
Given the task definition and input, reply with output. In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.
(The sitting was suspended at 13.00 and resumed at 15.00.)
| (The sitting was suspended at 13.00 and resumed at 15.00.) | 5 | NIv2 | task271_europarl_translation | zs_opt | [
-0.5124946236610413,
0.6209653615951538,
0.5765613317489624,
-0.13109135627746582,
-0.41145384311676025,
0.2378155142068863,
0.5554460287094116,
0.007358789909631014,
0.9989352226257324,
-0.3749085068702698,
-0.13728958368301392,
1.0144939422607422,
-0.04043310135602951,
0.4319517612457275... |
Teacher: 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 ... | [0, 665, -25, -27, 39, 585] | 2 | NIv2 | task852_synthetic_multiply_odds | fs_opt | [
0.0941883996129036,
-0.47693827748298645,
-0.6736114025115967,
-0.4209045171737671,
0.2238323986530304,
-0.3885631859302521,
0.948430061340332,
0.8583723306655884,
-0.7070130109786987,
-0.020077748224139214,
-0.9579786062240601,
-0.3988892436027527,
-0.36378800868988037,
-0.280802786350250... |
You are given a statement written in Hindi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Q: Statement: <MASK> में स्थित यह देश विश्व राजनीति और इतिहास की दृष्टि से बहुत महत्वपूर्ण है। इतिहास और प्राचीन ग्र... | मध्यपूर्व | 4 | NIv2 | task947_wiki_cloze_hi_multiple_choice_question_answering | zs_opt | [
-0.128922700881958,
1.0386438369750977,
0.07958628237247467,
0.7906597256660461,
-0.9581170082092285,
-0.009797078557312489,
0.06047684699296951,
0.33626750111579895,
0.6493808031082153,
-0.07255586981773376,
-0.3914417624473572,
0.7021017074584961,
-0.6037684082984924,
-0.4772955179214477... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Spanish, provide an equivalent paraphrased translation in French that retains the same meaning both through the translation and the paraphrase.
Example: La temporada de la NBA de 1975: 76 fue la 30ª temporada de la National... | Il a déjà joué pour Wolverhampton Wanderers, Kidderminster Harriers, Mansfield Town, Chesterfield, Northampton Town, Lincoln City et Gateshead. | 1 | NIv2 | task797_pawsx_spanish_french_translation | fs_opt | [
0.1514403223991394,
0.0794544368982315,
-0.34007832407951355,
0.2135874181985855,
0.400420606136322,
-0.8518604040145874,
0.8623425960540771,
0.4188705384731293,
0.17932069301605225,
0.1541682630777359,
0.025477806106209755,
0.6042349338531494,
-0.5067098140716553,
-0.49448102712631226,
... |
Teacher: In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Teacher: Now, understand the problem? If you are still confu... | yes | 2 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.1395670175552368,
-0.2706158757209778,
0.3779345750808716,
0.10644498467445374,
0.3326653242111206,
-1.1231147050857544,
0.05652792006731033,
0.5510516166687012,
-0.06056549400091171,
0.4999047517776489,
-0.03313680738210678,
-0.25760337710380554,
-0.012067295610904694,
-0.5357490181922... |
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expre... | Output: Quantity
| 2 | NIv2 | task1289_trec_classification | fs_opt | [
-0.015421492047607899,
0.20942290127277374,
0.24676263332366943,
-0.02761855348944664,
-0.5240746736526489,
-0.7739217281341553,
0.6915870904922485,
-0.14395347237586975,
0.20181873440742493,
-0.08247169852256775,
-0.8086450695991516,
0.06741346418857574,
-0.7008777856826782,
0.38396725058... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
Ex Input:
dimmed
Ex Output:
undimmed
Ex Input:
unexcited
Ex Output:
excited
Ex Input:
imprudent
Ex Output:
| prudent
| 1 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
-0.1797359138727188,
0.6025760173797607,
0.24354949593544006,
-0.38276758790016174,
-0.6803598403930664,
-0.8978690505027771,
-0.40623119473457336,
0.5475835204124451,
0.25891098380088806,
-0.037746451795101166,
-0.8386765122413635,
-0.5157915353775024,
-1.548201560974121,
0.03142540529370... |
In this task, you're given four sentences of a story written in natural language. The given story is not complete and your job is to complete the story by selecting one of the sentence choices from (A) and (B), such that the story sounds fully coherent.
Q: Sentence1: We wanted to go to the beach one weekend. Sentence2:... | A | 4 | NIv2 | task296_storycloze_correct_end_classification | zs_opt | [
-0.26396632194519043,
1.2361845970153809,
-0.1779751479625702,
-1.4677822589874268,
-0.21454736590385437,
-0.25955942273139954,
0.6969598531723022,
0.38437676429748535,
0.19978922605514526,
0.2345995306968689,
-0.27461105585098267,
-0.31674325466156006,
0.03216340020298958,
-0.093976095318... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
Let me give you an example: "" Nessun uomo è un'isola completamente a sé.
The answer to this example can be: "" אף אדם אינו אי העומד בפני עצמו.
Here is why: The Italian sentence is correctly translated into Hebrew, because ... | ובכן, זה קצת הזכיר לי ניתוח. | 8 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
0.16153843700885773,
1.0420184135437012,
-0.4389612674713135,
-0.1228201612830162,
-0.2821272313594818,
-0.7746031284332275,
0.8751412630081177,
0.7280059456825256,
0.12948836386203766,
-0.3140684962272644,
-0.3036910891532898,
0.14304974675178528,
-1.242608666419983,
0.4641936719417572,
... |
Detailed Instructions: Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
See one example below:
Problem: able
Solution: unable
Explanation: The output is correct as able and unable are opposities of each other in meaning.
Problem: leaky
Solution: | tight | 4 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.38598018884658813,
1.5414443016052246,
0.753856897354126,
-0.47916513681411743,
-0.2393796443939209,
-1.0363271236419678,
0.0547541119158268,
0.22137156128883362,
0.047003988176584244,
-0.718117892742157,
-0.7458557486534119,
-0.2547484040260315,
-1.2405657768249512,
0.066826730966568,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given a hateful post in Spanish 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 an... | Non-aggresive | 1 | NIv2 | task336_hateeval_classification_aggresive_es | fs_opt | [
-0.37166500091552734,
0.47690945863723755,
0.6796897649765015,
-0.007045350037515163,
0.1723209023475647,
-0.14482441544532776,
0.7174659967422485,
0.8255462646484375,
-0.0423208624124527,
0.029179539531469345,
0.07431671023368835,
0.12480784952640533,
-0.2289743423461914,
-0.7405994534492... |
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implied, respond as None
[EX Q]: Event:PersonX takes care of business. Intent: 1) ... | happy
| 6 | NIv2 | task924_event2mind_word_generation | fs_opt | [
0.17070189118385315,
0.24408704042434692,
0.23370355367660522,
-0.6535654067993164,
-0.9028606414794922,
-0.21595486998558044,
1.0005353689193726,
0.16766297817230225,
0.11034497618675232,
-0.5254755020141602,
0.20602348446846008,
-0.020975230261683464,
-0.5513601899147034,
0.4222494363784... |
Detailed Instructions: 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 information needed to answer the question.
Q: Question: What ye... | She was born in Yazıhan and studied cartography and land surveying in Mersin University, before beginning her political career through the Women's Branch of the Party of People's Democracy (HADEP) in 1998 | 9 | NIv2 | task234_iirc_passage_line_answer_generation | zs_opt | [
0.42624998092651367,
0.3463897407054901,
-0.12192675471305847,
0.015879081562161446,
-0.5983408689498901,
-0.23943579196929932,
0.6092908382415771,
0.24326491355895996,
0.35337454080581665,
0.6172018051147461,
-0.12486956268548965,
0.8575994372367859,
-0.18482595682144165,
0.45879355072975... |
Instructions: In this task, you're given the title of a five-sentence story, the first four sentences, and two options for the fifth sentence as a and b. Your job is to pick the sentence option that seamlessly connects with the rest of the story, indicating your choice as 'a' or 'b'. If both sentences are plausible, pi... | a | 3 | NIv2 | task213_rocstories_correct_ending_classification | zs_opt | [
-0.13016796112060547,
0.5317742824554443,
0.3132001757621765,
0.10201089084148407,
0.03244740515947342,
0.06312890350818634,
0.12557998299598694,
1.272513747215271,
-0.2629398703575134,
0.30155038833618164,
-0.6786341071128845,
-0.3788858652114868,
0.14044153690338135,
-0.36735841631889343... |
This task is to translate the English language Input to Telugu Language Output
[Q]: We Also Offer A Free 48 Hours !!!!
[A]: మేము కూడా ఒక ఉచిత ఆఫర్ 48 గంటలు !!!!
[Q]: spectators: 800
[A]: ప్రేక్షకులు: 800
[Q]: International: +1(212) 651-1522
[A]: | అంతర్జాతీయ: + 1 (212) 651-1522
| 5 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.37029343843460083,
0.03217574208974838,
0.05586487054824829,
0.2532164454460144,
0.3268584907054901,
-1.0273220539093018,
-0.5590664744377136,
-0.23515640199184418,
0.44417136907577515,
0.17159326374530792,
-0.19437354803085327,
0.37105125188827515,
-0.6098514795303345,
-0.0917576849460... |
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
| 5 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
-0.1908472776412964,
0.21479126811027527,
0.33063775300979614,
-0.3893817067146301,
-0.6977012157440186,
-0.5531701445579529,
1.1759049892425537,
0.04569486156105995,
-0.4981212615966797,
-0.5497654676437378,
-0.27586036920547485,
-0.33333295583724976,
-0.503775954246521,
0.188373714685440... |
A text is given in Hindi. Translate it from the Hindi language to the Tamil language. The translation must not omit or add information to the original sentence.
Q: मुझे आज बेहद प्रसन्नता है कि गुरू रविदास की कृपा उनके आशीर्वाद से मैं अपना वादा निभाने आप सभी के बीच फिर से आया हूं।
A: எனது வாக்குறுதியை நிறைவேற்றும் வித... | நாட்டில் உள்ள வனம் சார்ந்த பழங்குடிப் பகுதிகளில் இரண்டு ஆண்டுகளில் இத்தகைய 3000 வன் தன் கேந்திராக்கள் அமைக்க திட்டமிடப்பட்டுள்ளது.
****
| 4 | NIv2 | task993_pib_translation_hindi_tamil | fs_opt | [
-0.43521055579185486,
0.6429975032806396,
0.02816268801689148,
-0.373726487159729,
-0.5866489410400391,
-1.2499457597732544,
0.41772371530532837,
-0.17059341073036194,
-0.5177330374717712,
0.14772950112819672,
-0.15840189158916473,
0.18759071826934814,
-0.44344547390937805,
0.3405120372772... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.
[Q]: Son estes os temas que realmente nos importan.
[A]: وهذه هي المواضيع التي نهتم بها حقيقتا
[Q]: E non toda a illa, a illa ten preto de 1,4 millóns de persoas, pero só nas terras altas, nunha área coñecida como a pro... | (ضحك) إنها أخف من الآي بود. و أقل ثمناً بقليل.
| 5 | NIv2 | task1241_ted_translation_gl_ar | fs_opt | [
-0.24536553025245667,
1.1399285793304443,
0.10030658543109894,
-0.9921348094940186,
-0.8197249174118042,
-1.3903253078460693,
1.1733431816101074,
-0.0836348831653595,
-0.11612634360790253,
-0.1642473340034485,
-0.40155646204948425,
0.3335830867290497,
-0.5514003038406372,
0.351589918136596... |
Detailed Instructions: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A after the first i elements. i will always have a value less than the length of A.
Problem:2, ['3223', 'b', '1923', '4103', '9867', '9589', '7783', 'G', '3167', '9223', '9739',... | 1923, 4103, 9867, 9589, 7783, G, 3167, 9223, 9739, 2581, m, k, Q, 2273, 5631, o, o, 6989, 3433, B, 4515, 2805, O | 8 | NIv2 | task064_all_elements_except_first_i | zs_opt | [
-0.22578175365924835,
0.2584742605686188,
-0.20799829065799713,
-0.9100587368011475,
-0.5735777616500854,
-0.26954758167266846,
0.2809482514858246,
-0.14739224314689636,
-0.47147253155708313,
0.0006585590890608728,
-1.0719051361083984,
-0.2951698899269104,
0.3841211497783661,
-0.2700303196... |
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make ... | They are Musim . | 6 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
-0.18406450748443604,
0.6766659021377563,
-0.06265638768672943,
0.6764665842056274,
0.050106339156627655,
-0.7318357229232788,
0.37565889954566956,
0.8278372883796692,
-0.5159174203872681,
-0.16555486619472504,
-0.2543233335018158,
-0.13802304863929749,
-0.46970173716545105,
-0.16696949303... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
One examp... | Identity-attack | 9 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.22926300764083862,
0.27439919114112854,
0.4877175986766815,
0.4435828626155853,
-0.054487910121679306,
-0.24090372025966644,
0.9658222794532776,
0.16267180442810059,
0.40975531935691833,
0.7093821167945862,
0.5214622616767883,
-0.2881215512752533,
-0.8968640565872192,
-0.953124880790710... |
Detailed Instructions: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
Q: Sentence: 'a large square food with nuts on it'. Count the number of consonants in the given sentence.
A: | 16 | 9 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.30688297748565674,
0.5610712766647339,
-0.3957175016403198,
-0.5864917039871216,
-0.054055798798799515,
-0.06446509063243866,
-0.3308534622192383,
0.3759404420852661,
-0.30226409435272217,
-0.5298840999603271,
-0.49266117811203003,
-0.6255701780319214,
-0.29933542013168335,
-0.6379098296... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
Q: זה הזמן בוא אנו יכולים להיות פשוט עצמנו, ועכשיו יש לנו את האח הקפדן הזה, עם העניבה וחולצת הכפתורים שלו, כשאנחנו עדיין בפיג 'מות שלנו.
A: | Kiedy możemy być po prostu sobą, a tu mamy tego staroświeckiego brata w koszuli i krawacie, a my nadal jeszcze jesteśmy w piżamach. | 4 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.4078156352043152,
0.9270039796829224,
-0.16733986139297485,
-0.001297482056543231,
-0.6891860961914062,
-0.9427831768989563,
0.4752958416938782,
0.033194735646247864,
0.8387613892555237,
0.428635835647583,
-0.4914902150630951,
0.6929494738578796,
-0.552322268486023,
0.23761484026908875,... |
Part 1. Definition
In this task, you are given the abstract of a research paper. Your task is to generate a summary of this abstract. Your summary should not be very short, but it's better if it's not more than 30 words.
Part 2. Example
Mixed precision training (MPT) is becoming a practical technique to improve the spe... | We use a hypernetwork to predict optimal weights given hyperparameters, and jointly train everything together. | 7 | NIv2 | task668_extreme_abstract_summarization | fs_opt | [
0.5178671479225159,
-0.12845881283283234,
-0.8897354602813721,
-0.1097930297255516,
0.6842305660247803,
-0.38633131980895996,
0.7846134901046753,
0.7546639442443848,
0.34752440452575684,
0.09120731800794601,
-0.737148642539978,
0.05858464539051056,
-0.336487352848053,
0.24674475193023682,
... |
In this task, you are given a review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
One example: For a movie that gets no respect there sure are a lot of memorable quotes listed for this gem. Imagine a movie where Joe Piscopo is actually fun... | negative | 6 | NIv2 | task284_imdb_classification | fs_opt | [
-0.6547450423240662,
0.039140719920396805,
-0.4336322844028473,
0.18089230358600616,
0.1800985038280487,
-0.14853358268737793,
0.8381030559539795,
0.5841876268386841,
-0.029431646689772606,
-0.5530581474304199,
-0.7536675930023193,
0.1758810579776764,
-0.46270909905433655,
-0.3194150030612... |
Given the task definition and input, reply with output. You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.
قياساتي ؟!!
| את מידותי! | 5 | NIv2 | task1233_ted_translation_ar_he | zs_opt | [
-0.5840985774993896,
1.0777225494384766,
0.2494036853313446,
0.10400939732789993,
-0.5902531147003174,
0.8640377521514893,
0.43156224489212036,
-0.5651937127113342,
0.6321702599525452,
-0.521963894367218,
-1.2083871364593506,
-0.05405088886618614,
-0.10673855245113373,
0.6757508516311646,
... |
Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.
--------
Question: TrES-4の重量もまた木星より小さく、密度は極度に低く1立法cmあたり0.2グラムであり、それはワインのコルク以下である。
Answer: TrES-4 ລ້ວນມີນ້ຳໜັກໜ້ອຍກວ່າ ດາວພະຫັດ ແລະ ມີຄວາມໜາແໜ້ນໜ້ອຍທີ່... | "ແລະ ພວກເຮົາໄດ້ຄົ້ນພົບວ່າ ສານອິນຊູລິນ ແລະ ປັດໃຈການເຕີບໂຕ ຈະມີຄວາມຈໍາເປັນ ສໍາລັບຄວາມຢູ່ລອດຂອງເຊວສະໝອງ ປະກອບສ່ວນໃຫ້ມີການພັດທະນາເປັນໂລກສະໝອງເຊື່ອມ."
| 7 | NIv2 | task1124_alt_ja_lo_translation | fs_opt | [
-0.8550196886062622,
0.545026421546936,
-0.3207632899284363,
-0.25945132970809937,
-0.17410308122634888,
-0.7495408058166504,
0.997571587562561,
0.1528797149658203,
-0.01717846840620041,
-0.1551889032125473,
-0.9332413077354431,
0.5735936164855957,
-0.19123728573322296,
0.5235531330108643,... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences ... | Jerry cries >Causes/Enables> Jerry stops crying
| 8 | NIv2 | task748_glucose_reverse_cause_event_detection | fs_opt | [
0.4546748399734497,
0.41164857149124146,
-0.6530120968818665,
-0.23659583926200867,
-0.5908316373825073,
-0.2978723645210266,
0.7800751328468323,
0.5559481382369995,
-0.4370158314704895,
-0.4334985315799713,
-0.6215256452560425,
0.19045326113700867,
-0.7801526188850403,
0.3100906312465668,... |
Detailed Instructions: Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Q: หัวข้อหนังสือพิมพ์เช่น "ทรงผมของชาวตะวันตกถูกแบน"ตอกย้ำสถานะทางกฏหมายของทรงผมชาวตะวันตก; ช่างตัดผมที่ตัดผมทรงที่เจ้าหน้าที่ถ... | 「西洋のヘアースタイルは．．．禁止された」というような新聞の見出しが西洋のヘアースタイルの法的なステータスを繰り返し言及した；当局が非イスラム的なヘアースタイルだとみなすものを提供したり、メーキャップサービスを行ったり、眉を剃ったりした床屋はライセンスの長期停止や取り消しを受けることになると警告された。 | 9 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.4175686240196228,
-0.15181463956832886,
-0.07654430717229843,
-0.5080311298370361,
-0.0922691822052002,
-0.3117145001888275,
0.2142576277256012,
0.7378052473068237,
-0.309358686208725,
0.3182576298713684,
-0.4417567849159241,
0.07810717821121216,
-0.44057565927505493,
0.5517822504043579... |
Definition: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus... | WRB | 2 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.10692748427391052,
0.22528016567230225,
-0.168723002076149,
0.3342510461807251,
-0.017308002337813377,
-0.6940967440605164,
0.6725248098373413,
0.7237368226051331,
-0.4851348400115967,
-0.1596977710723877,
-0.30319997668266296,
0.35823923349380493,
-0.2746032476425171,
0.1092479750514030... |
Detailed Instructions: This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: oh , i 've got a couple thoughts about that last scene .
A: | yeah , and i have some ideas for the final scene . | 9 | NIv2 | task177_para-nmt_paraphrasing | zs_opt | [
-0.07853805273771286,
0.9872733354568481,
-0.10761511325836182,
-0.507510781288147,
-0.263557493686676,
-0.1575634479522705,
0.9938243627548218,
1.0661206245422363,
0.3781008720397949,
0.12729723751544952,
-0.2809560000896454,
-0.37119072675704956,
-0.02744583785533905,
1.0215680599212646,... |
You are given a sentence and a question in the input. If the information provided in the sentence is enough to answer the question, label "Yes", otherwise label "No". Do not use any facts other than those provided in the sentence while labeling "Yes" or "No". There are only two types of valid responses: Yes and No.
Q:... | No.
****
| 4 | NIv2 | task050_multirc_answerability | fs_opt | [
-0.6466048955917358,
0.7624285221099854,
0.28017377853393555,
0.3517271876335144,
-0.3191632032394409,
-1.4319583177566528,
0.3755914270877838,
0.42203348875045776,
0.0120626762509346,
-0.29917198419570923,
-0.37801387906074524,
0.34807413816452026,
-0.03986242413520813,
-0.028975898399949... |
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 ... | ¿Dónde trabajó como ejecutivo el padre de Aldrin?
| 3 | NIv2 | task1335_sqac_question_generation | fs_opt | [
0.42515864968299866,
0.6008864641189575,
-0.5209527015686035,
-0.1475496143102646,
0.48600953817367554,
0.1611546277999878,
0.7647466659545898,
0.7881065011024475,
-0.17594948410987854,
0.0008023395203053951,
-0.46473366022109985,
0.4999045729637146,
-0.8967548608779907,
0.1753247231245041... |
Given the task definition and input, reply with output. Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate signific... | mollusks | 5 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.6549828052520752,
0.7887611389160156,
0.4678195118904114,
-0.4617959260940552,
-0.08710353076457977,
-0.023179378360509872,
0.754853367805481,
-0.1275728940963745,
0.22875019907951355,
-0.7172046899795532,
-0.4328584671020508,
-0.13840878009796143,
-0.6497513651847839,
0.336434423923492... |
Instructions: Given a scientific question, generate a correct answer to it.
Input: Distance traveled divided by time is equal to what?
Output: | speed | 3 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.07306219637393951,
1.0394842624664307,
-0.1345362365245819,
0.005913943983614445,
-0.7694664001464844,
0.05453209951519966,
-0.29889294505119324,
-0.6221657991409302,
-0.5467780232429504,
-0.2970445454120636,
-0.12222807109355927,
0.20647032558918,
-0.9004164934158325,
-0.117901816964149... |
Given the task definition and input, reply with output. A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.
बे यांना, जपान सरकारला आणि आपणा सर्वांना मी पुन्हा एकदा शुभेच्छा देतो. धन्यवाद!
| আমি আরেকবার আবে সানকে, জাপান সরকারকে এবং আপনাদের সবাইকে আন্তরিক ধন্যবাদ ও শুভেচ্ছা জানাই। | 5 | NIv2 | task1062_pib_translation_marathi_bengali | zs_opt | [
-0.25238925218582153,
0.550256609916687,
0.18053843080997467,
0.19910788536071777,
0.5553966760635376,
-0.5854844450950623,
0.668469250202179,
-0.7375375032424927,
-0.06695771962404251,
-0.5119373798370361,
-0.7652390599250793,
-0.011614550836384296,
0.026161834597587585,
0.405074238777160... |
Teacher:Given a sentence in Vietnamese, generate a new Vietnamese 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 proba... | Anh có thể dùng bàn để ăn. | 6 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.7231860756874084,
0.1369863599538803,
0.3367268741130829,
-0.271784245967865,
-0.11846603453159332,
-0.8218366503715515,
0.5718280076980591,
1.494340419769287,
-0.13234004378318787,
-0.31047743558883667,
-0.1126861423254013,
0.19970101118087769,
0.018548525869846344,
-0.3306329548358917... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.
E non tes que instrumentar salas de estar con micrófonos para conseguir as conversacións das persoas, só tes que sintonizar os sinais dispoñibles dos medios sociais. | Y ya no hay que ir a poner micrófonos en la sala de estar para conseguir conversaciones de la gente; sólo hay que sintonizar los medios sociales de dominio público. | 0 | NIv2 | task1240_ted_translation_gl_es | zs_opt | [
-0.5018376111984253,
0.8803985714912415,
-0.4477464556694031,
-0.9821892380714417,
0.15217283368110657,
-0.3894420862197876,
-0.08313588798046112,
0.5746167898178101,
-0.12372951954603195,
-0.21623942255973816,
0.1411840319633484,
-0.07448598742485046,
-0.2614775002002716,
0.54873597621917... |
TASK DEFINITION: In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form " A >Causes> B". Try to use phrases ... | We are potty training our new kitty >Causes> We feel(s) frustrated
| 8 | NIv2 | task749_glucose_reverse_cause_emotion_detection | fs_opt | [
0.5921566486358643,
0.19104808568954468,
-0.5091403722763062,
0.5602782964706421,
0.14879432320594788,
-0.9285888671875,
0.3469821810722351,
0.8698111772537231,
-0.27746838331222534,
-0.17778226733207703,
-0.5551079511642456,
0.615450382232666,
-0.8665804862976074,
-0.07394173741340637,
... |
In this task, you are given an ambiguous question/query (which can be answered in more than one way) and a clarification statement to understand the query more precisely. Your task to classify that if the given clarification accurately clarifies the given query or not and based on that provide 'Yes' or 'No'.
Q: Query: ... | Yes | 4 | NIv2 | task227_clariq_classification | zs_opt | [
-0.050234563648700714,
0.2900811433792114,
-0.09031467139720917,
0.28064239025115967,
-0.36057883501052856,
-1.4642534255981445,
0.4811951518058777,
0.530866265296936,
0.2183019369840622,
0.09443170577287674,
0.2334577739238739,
-0.14827066659927368,
-0.6294747591018677,
-0.128259539604187... |
In this task, you will be presented with a question about part-of-speech tag of a word in the question. You should write the required POS tag answering the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential... | CD | 4 | NIv2 | task382_hybridqa_answer_generation | zs_opt | [
0.5860595107078552,
0.27076536417007446,
0.09601947665214539,
0.17324727773666382,
-0.01398366317152977,
-0.7653566598892212,
0.7427712082862854,
0.7659822106361389,
-0.37546637654304504,
-0.2453629970550537,
-0.6083812117576599,
0.5074770450592041,
-0.06697078049182892,
0.3528943359851837... |
In this task, you are given a sentence and a profession. The sentence mentions two professions: one's gender is identifiable using the coreference link with gendered pronouns and the other's gender is unidentifiable. You are expected to return whether the given profession's gender is identifiable or unidentifiable.
---... | Identifiable
| 7 | NIv2 | task350_winomt_classification_gender_identifiability_pro | fs_opt | [
-0.9358043670654297,
0.5005167722702026,
0.27950507402420044,
-0.24103841185569763,
0.20172226428985596,
0.3178521990776062,
-0.4753531217575073,
1.07529616355896,
0.3967488408088684,
-0.04717177152633667,
-0.8441101908683777,
0.12068922072649002,
-0.050246596336364746,
-0.688176155090332,... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Japanese.
[EX Q]: En una sociedad basada en la agricultura, la diferencia entre los más ricos y los más pobres, los más productivos y los menos productivos, era de cinco a uno. ¿Por qué?
[EX A]: 農業社会での最も貧しい者と富める者の差は生産性の高い者と低い者の差は ５... | だから私達は誰の協力もなしに 3つ目の課題に取り組みましたつまり、この遺伝情報はどんなことをするのか、という課題です
| 6 | NIv2 | task1227_ted_translation_es_ja | fs_opt | [
-0.8186203837394714,
0.1153612956404686,
0.09267070889472961,
-0.3551776707172394,
-0.4267602860927582,
-0.4155130982398987,
0.8724021911621094,
1.0129194259643555,
-0.26005613803863525,
-0.961321234703064,
-1.3402822017669678,
0.36606574058532715,
-0.7525677680969238,
0.3162694573402405,
... |
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.
... | take off work
| 5 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.3669518232345581,
0.5912108421325684,
0.27272042632102966,
-0.45514243841171265,
-0.6553689241409302,
-0.5274293422698975,
1.249671220779419,
0.37790951132774353,
-0.003462139517068863,
0.16312840580940247,
-0.24087415635585785,
-0.14922136068344116,
-0.11356638371944427,
0.5739830136299... |
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Q: concept: Albert Einstein question: what jobs did albert einstein have?
A: | ['Writer', 'Author', 'Mathematician', 'Professor', 'Theoretical Physicist', 'Physicist', 'Philosopher', 'Scientist', 'Peace activist', 'Pacifist'] | 4 | NIv2 | task1601_webquestions_answer_generation | zs_opt | [
-0.314578115940094,
0.8944820165634155,
0.3695303201675415,
-0.14968819916248322,
-0.22165606915950775,
-0.42851966619491577,
-0.5862730741500854,
0.22026512026786804,
1.1241337060928345,
0.042886797338724136,
-0.24989895522594452,
-0.045686274766922,
-0.24329960346221924,
0.27238038182258... |
Detailed Instructions: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[... | [] | 9 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.6517769694328308,
0.21612197160720825,
-0.21589025855064392,
-0.5376384258270264,
-0.19740918278694153,
-0.19253277778625488,
0.7965590953826904,
-0.16453169286251068,
-0.5469567775726318,
0.36723780632019043,
-0.5343753099441528,
-0.11501224339008331,
-0.25136977434158325,
0.1177061200... |
Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: toxic and non-toxic. Toxicity is defiend as anything that is rude, disrespectful, or unreasonable that would make someone want to leave a converation.
Input: Comment: You can't su... | Non-toxic | 3 | NIv2 | task327_jigsaw_classification_toxic | zs_opt | [
-0.23539525270462036,
0.7109231948852539,
0.8547229766845703,
0.17810776829719543,
-0.19552597403526306,
-0.26586684584617615,
0.42856812477111816,
0.7306310534477234,
0.30453842878341675,
0.2402806133031845,
-0.39150339365005493,
-0.2344323843717575,
-0.1969301402568817,
-0.99314922094345... |
TASK DEFINITION: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
PROBLEM: Background: Female endoparasitic ichneumonid wasps inject virus-like particles into their caterp... | Clinical Infectious Diseases Metagenomic Virome Sequencing in Living Donor and Recipient Kidney Transplant Pairs Revealed JC Polyomavirus Transmission
| 8 | NIv2 | task1161_coda19_title_generation | fs_opt | [
0.1497587114572525,
0.24340340495109558,
-0.5407350659370422,
0.15078023076057434,
0.04420948028564453,
-0.30638566613197327,
0.8101376295089722,
0.6408028602600098,
-0.14482775330543518,
0.40084534883499146,
-0.08797809481620789,
0.5231706500053406,
-0.6535159349441528,
0.1754053831100464... |
Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
[EX Q]: Verify if the sentiment of the following document towards the entity Christopher Johnson is Positive... | yes
| 6 | NIv2 | task423_persent_document_sentiment_verification | fs_opt | [
-0.17065191268920898,
0.019135266542434692,
-0.7620478868484497,
0.19039876759052277,
0.6059169173240662,
0.040191344916820526,
1.0929245948791504,
0.7043865919113159,
-0.24227935075759888,
0.21312174201011658,
-0.04765855893492699,
0.839176595211029,
0.21613278985023499,
0.197052836418151... |
Q: In this task, you are given a country name and you need to return the capital city of the given country
Canada
A: | Ottawa | 7 | NIv2 | task1146_country_capital | zs_opt | [
0.45941969752311707,
1.4704188108444214,
-0.06582339107990265,
-1.465566635131836,
-0.14946943521499634,
0.3403508961200714,
0.6640424728393555,
0.03440569341182709,
-0.5319030284881592,
0.4099808931350708,
-0.20016400516033173,
0.5580816268920898,
-0.41886407136917114,
0.4111359715461731,... |
Definition: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Input: Article: Generally speaking, government regulations normally ban anything from smoking in public places to parking in certain zones. But officials in the Brazilian tow... | What is the bill to be proposed by the officials in Biritiba Mirim? | 2 | NIv2 | task311_race_question_generation | zs_opt | [
0.6113044023513794,
0.3681926131248474,
0.3635298013687134,
-0.7411914467811584,
0.7933578491210938,
-0.6067277193069458,
0.4617682099342346,
1.085623860359192,
-0.5452523231506348,
0.5011870265007019,
-0.40955549478530884,
1.1552237272262573,
-0.6328170299530029,
0.2658560872077942,
0.0... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
Solution: Brindo soluciones. Estoy muy feliz.
Why? T... | Aún hoy, sigo absolutamente sobrecogido de lo que he visto cuando hago estas inmersiones. | 0 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-1.0046590566635132,
0.6973299980163574,
0.07379297912120819,
-0.2833758592605591,
-0.27275386452674866,
-0.7460017204284668,
1.3847113847732544,
-0.21375826001167297,
0.39329999685287476,
-0.5000264644622803,
-0.5083327293395996,
0.4954206943511963,
-0.054732970893383026,
0.49286082386970... |
Detailed Instructions: In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
Q: Sorry, I do not have a exact number of schools in Liechtenstein, but I can tell you that they had the highest ... | They chose to stay neutral during WWII. | 9 | NIv2 | task576_curiosity_dialogs_answer_generation | zs_opt | [
-0.15554213523864746,
0.5758593082427979,
0.06354574114084244,
-0.18654632568359375,
0.021659571677446365,
0.19670844078063965,
0.8185298442840576,
0.45329421758651733,
0.1850244700908661,
-0.07140415161848068,
0.11496259272098541,
-0.21586522459983826,
-0.3891628682613373,
0.6305564045906... |
In this task, you are given a passage and a question regarding that passage. You must determine whether or not the question is answerable from the given passage. If a question is answerable, output should be 'True', otherwise 'False'. You must not consider any other information that is not provided in the passage while... | True | 8 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | fs_opt | [
0.5946881175041199,
0.031470004469156265,
-0.5947361588478088,
0.15659083425998688,
-0.0982741042971611,
-0.5602274537086487,
0.14338374137878418,
0.6184507608413696,
0.4910227656364441,
0.22632330656051636,
-0.5994333028793335,
0.6668446660041809,
-0.6472609043121338,
-0.34998562932014465... |
instruction:
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.
question:
Given Relationship: 'be country in', Sentence: 'Italy is a country in Southern Europe , it is silghtly larger than Arizona and it loosk lik... | city
| 9 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
0.3109583854675293,
0.9887984991073608,
-0.38428395986557007,
-0.34573328495025635,
-0.29928189516067505,
-0.2508334815502167,
0.1346282958984375,
0.5511448383331299,
-0.2955477237701416,
-0.31841138005256653,
-0.3154853582382202,
0.7604680061340332,
-0.5351961851119995,
0.2578026652336120... |
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 passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information... | Who was the second top scorer during the 1955-56 Serie A? | 0 | NIv2 | task236_iirc_question_from_passage_answer_generation | fs_opt | [
0.8630235195159912,
0.41749367117881775,
-1.0445829629898071,
0.5296356678009033,
0.499664843082428,
-0.5165642499923706,
1.3023231029510498,
1.3193140029907227,
0.6904741525650024,
0.203872412443161,
-0.4137056767940521,
0.20522993803024292,
-0.2987762689590454,
0.5494394898414612,
0.30... |
The provided file includes inquiries about restaurants, and we ask you to translate those to the Japanese language. Please bear in mind the following guidlines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloq... | 今年の" cracker barrel "に投稿されたレビューを見せて。 | 0 | NIv2 | task174_spl_translation_en_ja | zs_opt | [
-0.12326288223266602,
0.19912908971309662,
0.11304795742034912,
-0.2878534197807312,
0.2115868777036667,
-0.5290540456771851,
0.8285735845565796,
-0.1330476701259613,
-0.3251636028289795,
-1.0339359045028687,
0.4367590844631195,
-0.3727954030036926,
-0.1934477984905243,
0.706942081451416,
... |
Given the task definition, example input & output, solve the new input case.
You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Example: Category:... | the sweet science | 1 | NIv2 | task307_jeopardy_answer_generation_final | fs_opt | [
-0.463874876499176,
0.6298984289169312,
-0.39013370871543884,
0.04934615641832352,
0.7050772905349731,
-0.08386801183223724,
0.33722245693206787,
0.323777973651886,
0.5796743035316467,
-0.16648077964782715,
-0.3443508744239807,
0.38059866428375244,
-0.02237902209162712,
-0.1731680035591125... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.
ICC has 104 members; 10 play official test matches, 34 are associate members, and 60... | अई सी सी के १०४ सदस्य हैं; १० पूरे सदस्य जो अधिकारिक टेस्ट मेच खेलते हैं ३४ सहयोगी सदस्य हैं और ६० संबद्ध सदस्य हैं.आईसीसी क्रिकेट के प्रमुख अंतरराष्ट्रीय टूर्नामेंट खासकर क्रिकेट विश्व कप के संगठन और शासन के लिए उत्तरदायी है यह सभी स्वीकृत टेस्ट मैचों एक दिवसीय अंतरराष्ट्रीय और ट्वेंटी 20 अंतरराष्ट्रीय के लिए अंपायर औ... | 1 | NIv2 | task425_hindienglish_corpora_en_hi_translation | zs_opt | [
0.5724678039550781,
0.24735957384109497,
-0.9591988325119019,
0.5911664962768555,
0.0881933942437172,
-0.9107110500335693,
-0.07044453918933868,
-0.9279454946517944,
-0.3664858341217041,
-0.14311355352401733,
-0.9239970445632935,
-0.2885438799858093,
-0.4693170487880707,
0.3695525228977203... |
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.
দেশের প্রথম মহিলা অর্থমন্ত্রী শ্রীমতী নির্মলা সীতারমন মহোদয়া এবং তাঁর টিমকে আমি এই নাগরিক-বান্ধব, উন্নয়ন-বান্ধব এবং দেশের ভবিষ্যৎ উজ্জ্বল করার লক্ষ্যে... | ਦੇਸ਼ ਦੀ ਪਹਿਲੀ ਵਿੱਤ ਮੰਤਰੀ ਨਿਰਮਲਾ ਸੀਤਾਰਮਣ ਜੀ ਅਤੇ ਉਨ੍ਹਾਂ ਦੀ ਟੀਮ ਨੂੰ ਮੈਂ ਇਸ citizen friendly, development friendly ਅਤੇ future oriented ਬਜਟ ਲਈ ਬਹੁਤ-ਬਹੁਤ ਵਧਾਈ ਦਿੰਦਾ ਹਾਂ। | 0 | NIv2 | task1025_pib_translation_bengali_punjabi | zs_opt | [
-0.7613627910614014,
1.208235502243042,
-0.6488488912582397,
0.6009843349456787,
0.2282136082649231,
-0.46815425157546997,
-0.16219034790992737,
-0.26790177822113037,
0.7825316190719604,
-0.19408616423606873,
-0.04740508645772934,
-0.15627864003181458,
-0.17138749361038208,
0.2474431842565... |
Given the task definition, example input & output, solve the new input case.
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two... | Paraphrase | 1 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
0.016969380900263786,
0.06438849866390228,
-0.4389467239379883,
0.30939555168151855,
0.09083978831768036,
0.07750089466571808,
0.5501185059547424,
0.23271948099136353,
0.5729128122329712,
0.11579632759094238,
-0.4166107773780823,
0.39509570598602295,
-0.32942402362823486,
0.422104895114898... |
In this task, You are given an amazon review and its polarity (positive or negative). Your task is to answer "True" if the specified sentence and its polarity match; otherwise, answer "False"
Review: Exactly what I was looking for a light weight jacket. Fits my 10 year old well but will probably not 2 seasons out of i... | True | 0 | NIv2 | task1313_amazonreview_polarity_classification | zs_opt | [
-0.24554437398910522,
-0.4469894766807556,
-0.14018791913986206,
-0.023231416940689087,
-0.15301600098609924,
-1.102332592010498,
1.0709437131881714,
0.03745260462164879,
0.3754499554634094,
0.30014413595199585,
-0.5748998522758484,
0.17562246322631836,
-0.8369520902633667,
-0.240419462323... |
Part 1. Definition
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.
Part 2. Example
Sentence 1: Marcus needed clothi... | The Pizza | 7 | NIv2 | task219_rocstories_title_answer_generation | fs_opt | [
-0.12296389043331146,
0.7459982633590698,
-0.009281259030103683,
-0.2627958357334137,
0.4275088906288147,
0.20426443219184875,
0.5189765095710754,
0.41377344727516174,
0.3667628765106201,
0.044786106795072556,
-0.7647754549980164,
-0.07752802968025208,
-0.7208009362220764,
0.00841722916811... |
Definition: 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 ha... | Yes | 2 | NIv2 | task1211_atomic_classification_hassubevent | zs_opt | [
0.252174973487854,
0.07167084515094757,
0.09998472779989243,
0.04249579459428787,
-0.4540173411369324,
-0.6207681894302368,
1.0833889245986938,
0.3338526785373688,
-0.4985489845275879,
-0.400442898273468,
-0.45677539706230164,
-0.32836011052131653,
-0.4730643630027771,
0.1532459557056427,
... |
You are given a sentence in English. Your job is to translate the English sentence into Persian.
Input: Consider Input: It's fully possible to get child mortality down in all of these countries and to get them down in the corner where we all would like to live together.
Output: اون کاملاً امکان پذیره که مرگ و میر کود... | Output: پس حالا یه پایگاه داده داشتیم از هر آنچه که از صورت براد بر میاد در سنین ۸۷ ، ۷۰ و ۶۰ سالگی.
| 2 | NIv2 | task1093_ted_translation_en_fa | fs_opt | [
-0.43793612718582153,
0.7696718573570251,
-0.26011431217193604,
-0.07622967660427094,
-0.2959272265434265,
-0.5652784705162048,
1.326538324356079,
0.6624748706817627,
0.7005665302276611,
0.027249496430158615,
-0.41708528995513916,
0.9190976619720459,
-0.28245145082473755,
0.288630306720733... |
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... | weakener | 4 | NIv2 | task935_defeasible_nli_atomic_classification | zs_opt | [
-0.3097837567329407,
0.42992454767227173,
-0.14405058324337006,
-0.33703136444091797,
0.18878135085105896,
-1.2953197956085205,
1.616246223449707,
0.7726949453353882,
0.6233053207397461,
-0.9165576696395874,
-0.856278657913208,
0.10224766284227371,
-0.8962866067886353,
0.13037104904651642,... |
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.
Q: They really need to improve their service. It takes them so long to even get drinks to your table when the ... | NEGATIVE
****
| 4 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.6391871571540833,
0.44296133518218994,
-0.2501980662345886,
-0.2577364444732666,
0.019939566031098366,
-0.5476431250572205,
0.19973038136959076,
1.1623811721801758,
0.044335171580314636,
0.0272565558552742,
0.16201898455619812,
-0.1289450079202652,
-0.5273452997207642,
0.237452566623687... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
Por isso as pessoas tomam-na para prevenir que os órgãos transplantados sejam rejeitados.
כך שאנשים נוטלים את זה בכדי למנוע דחיית אברים מושתלים.
Vou mostrar os resultados experimentais.
הרשו לי להראות לכם את תוצאות ה... | ונניח שעקץ אתכם יתוש שנושא את הנגיף הזה.
| 0 | NIv2 | task1278_ted_translation_pt_he | fs_opt | [
-0.423575222492218,
0.9140474796295166,
0.05828195810317993,
-0.10003621876239777,
-0.7284294366836548,
-0.32276827096939087,
0.38606715202331543,
0.08398956060409546,
0.4724638760089874,
-0.3772129416465759,
-1.0889254808425903,
0.14206764101982117,
-0.7599389553070068,
0.4967172145843506... |
instruction:
In this task, you will be given a movie review and a question about the reviewer's sentiment toward one aspect of the movie in Persian. You have to infer the answer to the question from the review and classify it. Classify the reviewer's sentiment into: "no sentiment expressed", "negative", "neutral", "pos... | negative
| 9 | NIv2 | task525_parsinlu_movie_aspect_classification | fs_opt | [
-0.8693923354148865,
0.19372820854187012,
-0.17659661173820496,
0.010250885039567947,
-0.018544796854257584,
-0.08621387183666229,
1.5054320096969604,
0.6125915050506592,
0.10499857366085052,
-0.34120893478393555,
0.0012115725548937917,
-0.03764701634645462,
-0.17248471081256866,
0.2360247... |
Given the task definition and input, reply with output. In this task, you are given reviews written about the books in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
এক কথাইয় অসাধারন একটা বই। তবে অনুবাদ ভাল হয়নি। বানান এর অনেক ভুল রয়েছে ...
| negative | 5 | NIv2 | task1497_bengali_book_reviews_sentiment_classification | zs_opt | [
-1.1009026765823364,
0.44802290201187134,
0.503145694732666,
-0.08451216667890549,
0.4097837209701538,
0.1203269213438034,
0.5554612874984741,
-0.008367853239178658,
0.31963008642196655,
-0.1911112368106842,
-1.1581170558929443,
-0.002549286698922515,
-0.7938953638076782,
0.067439228296279... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A,B. Find the longer of the two lists, convert it to lowercase, and return all the unique alphabets used in it. The two input strings are never equal.
ppbYweBydlnusRxwgxpjCvP, QVnBydlnusRxwgxpNfaJHJ
Out... | b, c, d, e, g, j, l, n, p, r, s, u, v, w, x, y | 1 | NIv2 | task756_find_longert_substring_and_return_all_unique_alphabets_in_it | zs_opt | [
-0.47110408544540405,
0.9029531478881836,
-0.1737133413553238,
-0.04336924850940704,
0.06759996712207794,
0.007308272644877434,
1.2826118469238281,
-0.1582309603691101,
0.017288729548454285,
-0.06737233698368073,
-0.7521052360534668,
-0.18145763874053955,
0.6775519847869873,
-0.33527141809... |
In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Like the rapporteur, I deplore the fact that the figures... | English | 0 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.38828912377357483,
0.8853769898414612,
0.28531986474990845,
-0.6309226751327515,
-0.0038369339890778065,
-0.1462436020374298,
0.5790520906448364,
0.9742262363433838,
0.41859790682792664,
-0.09676714241504669,
-0.10778368264436722,
0.25362494587898254,
-0.2371494472026825,
-0.40784144401... |
Detailed Instructions: 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 ... | admire the baby in their arms | 4 | NIv2 | task595_mocha_answer_generation | fs_opt | [
0.3875563144683838,
0.6493733525276184,
0.15885275602340698,
-0.08714082837104797,
-0.2040359526872635,
-0.4101686179637909,
1.0074357986450195,
0.3214547038078308,
0.25619345903396606,
0.4120333790779114,
-0.5234271287918091,
0.06853072345256805,
-0.5307157039642334,
0.33579814434051514,
... |
Given the task definition and input, reply with output. In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to return the sum of all the numerical elements in the list A between the positions i and j (including positions i and j). Return 0 if no numerical element is prese... | 19835 | 5 | NIv2 | task606_sum_of_all_numbers_in_list_between_positions_i_and_j | zs_opt | [
0.3555365800857544,
-0.25270047783851624,
-0.4488341808319092,
-0.4646739959716797,
-0.004801057279109955,
-0.7363697290420532,
-0.06419526040554047,
0.21371616423130035,
-0.48377537727355957,
0.022661738097667694,
-0.9117687940597534,
-0.09164511412382126,
0.17943039536476135,
0.155612975... |
In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
However, like some of the speakers, I also have a few doubts. | Както някои от останалите изказали се обаче, аз също имам известни съмнения. | 0 | NIv2 | task272_europarl_translation | zs_opt | [
-0.35944125056266785,
1.00612473487854,
0.30718493461608887,
-0.09157440811395645,
0.03254042938351631,
-0.22389833629131317,
0.9394959211349487,
0.3614228367805481,
0.49483126401901245,
-0.6148977279663086,
-0.2950301766395569,
0.6596903800964355,
-0.8637886643409729,
0.08395375311374664,... |
A ploynomial equation is a sum of terms. Here each term is either a constant number, or consists of the variable x raised to a certain power and multiplied by a number. These numbers are called weights. For example, in the polynomial: 2x^2+3x+4, the weights are: 2,3,4. You can present a polynomial with the list of its ... | 133 | 9 | NIv2 | task090_equation_learner_algebra | fs_opt | [
0.41041696071624756,
0.8398547172546387,
-0.5906827449798584,
-0.5388574600219727,
-0.26422318816185,
-0.4855336546897888,
1.1670386791229248,
0.8211452960968018,
-0.08446729183197021,
-0.9207760095596313,
-0.48776769638061523,
0.8088011741638184,
-1.0068868398666382,
-0.04004686325788498,... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.
Solution: ويمكن اعادة تكرار هذه ا... | يمكنك أن تأخذ جميع أنواع المنحنيات ، وكلها تشير إلى الأعلى. | 0 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.5858315825462341,
0.32429543137550354,
0.2544531226158142,
-0.3142373561859131,
-0.10031886398792267,
-0.19233661890029907,
0.8032441735267639,
-0.015536426566541195,
0.47572094202041626,
-0.2618386447429657,
-0.7785006761550903,
-0.241353377699852,
-0.7118215560913086,
0.35719209909439... |
Given the task definition and input, reply with output. In this task, you are given a question and an answer, you would be asked to create the sentence based on the Question-Answer provided. It should be contained within the Question-Answer provided.
Question: What is the name of a long and low hill of sediments which... | A drumlin is the name of a long and low hill of sediments which have been deposited by a glacier. | 5 | NIv2 | task1556_scitail_passage_generation | zs_opt | [
-0.016978729516267776,
0.3870261311531067,
-0.13704566657543182,
-0.14221549034118652,
-0.24658578634262085,
-0.7360143065452576,
-0.2870127558708191,
0.09842380881309509,
-0.06707235425710678,
-1.1549887657165527,
-0.28174856305122375,
0.15060639381408691,
-0.7826946973800659,
0.289612472... |
Detailed Instructions: In this task, you're given a context, a question, and three options. Your task is to find the correct answer to the question using the given context and options. Also, you may need to use commonsense reasoning about social situations to answer the questions. Classify your answers into 'A', 'B', a... | A | 9 | NIv2 | task580_socialiqa_answer_generation | zs_opt | [
0.31814926862716675,
0.32621920108795166,
-0.09791773557662964,
0.018896091729402542,
-0.07791054248809814,
-0.22061052918434143,
0.5385048985481262,
0.140950545668602,
0.19579169154167175,
0.07644633948802948,
-0.3034178614616394,
-0.047590192407369614,
0.2865161895751953,
0.0158811584115... |
Given the task definition and input, reply with output. In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ).... | Yes | 5 | NIv2 | task1197_atomic_classification_oreact | zs_opt | [
-0.14889034628868103,
0.07738161087036133,
0.5720145106315613,
0.08499576151371002,
-0.3559287190437317,
-0.7000782489776611,
1.137750267982483,
0.5006418228149414,
-0.24521635472774506,
-0.26549187302589417,
-0.43404531478881836,
-0.010067937895655632,
-0.8617281913757324,
0.3953465521335... |
Q: 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.
Sentence 1: Ellis really loved his cats. Sentence 2: He had 4 ki... | Just one more cat | 7 | NIv2 | task219_rocstories_title_answer_generation | zs_opt | [
-0.38349002599716187,
1.035243034362793,
0.13145706057548523,
0.15285712480545044,
-0.058996059000492096,
-1.2740808725357056,
0.031380049884319305,
0.28178149461746216,
-0.22731781005859375,
0.10787314176559448,
-0.5893940925598145,
0.45960432291030884,
-0.5985442399978638,
0.074541091918... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposi... | IN CD , DT JJ NN IN DT NNP NN VBG IN DT NN NN IN NNP NNP , VBD PRP$ NN NN IN WP NN . | 9 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.19535131752490997,
0.4614097774028778,
-0.5526119470596313,
0.8633607625961304,
-0.33147597312927246,
-0.28933537006378174,
0.6285226345062256,
0.6145613789558411,
-0.25901326537132263,
0.07659947127103806,
-0.1355704963207245,
0.5006687641143799,
-0.3896286189556122,
-0.158901870250701... |
Given a sentence in the Japanese and Lao language. Your task is check if the Lao sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: これが、燃料がエンジンへ流れるのを制限し、意図せぬエンジンのロールバックを引き起こす結果となった。
Lao: ນີ້ໄດ້ຫ້າມການໄຫຼວຽນຂອງນ້ຳມັນໄປຫາເຄື່ອງຈັກ ທ... | No
****
| 4 | NIv2 | task1126_alt_ja_lo_answer_generation | fs_opt | [
-0.965665340423584,
-0.0693638026714325,
0.285942018032074,
-0.08195650577545166,
-0.11753181368112564,
-0.17320340871810913,
0.6127193570137024,
1.016270399093628,
-0.18626639246940613,
-0.3419552445411682,
-0.6517897844314575,
0.3758493959903717,
-0.5503182411193848,
0.2740904986858368,
... |
Turn the given fact into a question by a simple rearrangement of words. This typically involves replacing some part of the given fact with a WH word. For example, replacing the subject of the provided fact with the word "what" can form a valid question. Don't be creative! You just need to rearrange the words to turn th... | What is bilaterally symmetrical and a protostome?
| 1 | NIv2 | task040_qasc_question_generation | fs_opt | [
0.4356987774372101,
0.6354063749313354,
0.31971219182014465,
0.2483283430337906,
-0.4979272782802582,
-0.6595455408096313,
0.25316929817199707,
0.893792986869812,
-0.08297478407621384,
-0.3521422743797302,
-1.0876907110214233,
-0.2938334345817566,
-0.34924617409706116,
0.02136203646659851,... |
You will be given a definition of a task first, then some input of the task.
In this task your given a passage in Catalan. you must ask a question in Catalan, that is relevant to the passage. A question that is constructed should be precise and based on factual information from the passage. A constructed question shoul... | De quin teatre van nomenar director musical i escènic a Rossini el 1825? | 1 | NIv2 | task836_viquiquad_question_generation | zs_opt | [
0.9469231367111206,
0.8490614891052246,
-0.6602469682693481,
0.3496304154396057,
-0.27789050340652466,
-0.3329188823699951,
0.17151640355587006,
0.9179362654685974,
-0.09158886969089508,
0.08015797287225723,
-0.3396725356578827,
0.45239752531051636,
-0.32354235649108887,
0.1239451766014099... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Q: آنها یک تواضع شناختی دارند.
A: | لديهم اعتدال معرفي | 9 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.9112470149993896,
0.42289313673973083,
0.27191272377967834,
-0.838512122631073,
-0.0551137775182724,
-0.5987190008163452,
0.9828138947486877,
-0.31066787242889404,
1.1966612339019775,
0.21557578444480896,
-1.2833120822906494,
0.06850168853998184,
-0.4709632396697998,
0.7482709884643555,... |
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.
One example: Statement: Next to the MGM Grand you will find M and M ... | 3 | 6 | NIv2 | task202_mnli_contradiction_classification | fs_opt | [
0.4006807804107666,
0.4061334431171417,
0.3225594758987427,
0.05426108092069626,
0.39432597160339355,
-0.2514554560184479,
-0.4441342353820801,
0.8397959470748901,
-0.08176380395889282,
0.37202709913253784,
0.08560732007026672,
-0.4174652695655823,
-0.09244346618652344,
-0.9772779941558838... |
The task is to generate text based off of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons intent behind doing the event, i.e. why did the person do that action.
Let me give you an example: PersonX keeps ___ in mind
The answer ... | to be knowledgeable about persony | 8 | NIv2 | task1596_event2mind_text_generation_2 | fs_opt | [
-0.16489402949810028,
0.8696461915969849,
0.2948245108127594,
-0.46288490295410156,
-0.5878555774688721,
-0.9825356602668762,
1.193291187286377,
0.44275739789009094,
0.2613203227519989,
-0.5982481241226196,
-0.1449981927871704,
-0.003694844665005803,
-0.8981615304946899,
0.544045627117157,... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: En una noche mágica, al igual que en Argentina ¡veremos quien es el primero en saltar al helicoptero!
Output: | One magical night, just like in Argentina? we'll see who gets to hop into the chopper first! | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.3176904022693634,
1.3230490684509277,
0.4730995297431946,
-1.1657824516296387,
-0.5362353324890137,
-0.1799750179052353,
0.2455536127090454,
1.039055347442627,
-0.17304709553718567,
-0.38729825615882874,
-0.8454023599624634,
-0.26872485876083374,
-0.6293281316757202,
-0.4754652678966522... |
Instructions: In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8... | [128, 512, 4096, 4096, 16, 32, 2, 128, 1024, 2048, 512] | 3 | NIv2 | task1444_round_power_of_two | zs_opt | [
-0.5217562913894653,
1.3867721557617188,
-0.2774162292480469,
-0.31355127692222595,
-0.3753242492675781,
0.30807575583457947,
0.77805095911026,
0.1712365448474884,
-0.3045063018798828,
0.4111739695072174,
-0.6104624271392822,
0.6272132396697998,
-0.2866029143333435,
-0.13839474320411682,
... |
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in t... | Zfsiboppttcr, FDboppttiP | 9 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | fs_opt | [
0.7230013608932495,
0.48317837715148926,
-0.364441454410553,
-0.2787395715713501,
0.1629313826560974,
-0.8140531182289124,
0.7948604226112366,
-0.0311073400080204,
0.19716519117355347,
0.10073031485080719,
-0.5472403168678284,
-0.46243518590927124,
-0.21433234214782715,
0.3129652440547943,... |
In this task your given two statements in Italian. You must judge whether the second sentence is the cause or effect of the first one. Label the instances as "cause" or "effect" based on your judgment. The sentences are separated by a newline character.
L'uomo perse l'equilibrio sulla scala.
È caduto dalla scala. | effect | 0 | NIv2 | task1173_xcopa_commonsense_cause_effect_it | zs_opt | [
-0.32816171646118164,
0.6686630845069885,
-0.4045913815498352,
-0.4155898988246918,
-0.37193673849105835,
0.18952910602092743,
0.25082525610923767,
1.104630470275879,
0.06680773198604584,
-0.5011883974075317,
-0.618893027305603,
0.2142632007598877,
-1.1778091192245483,
0.30895984172821045,... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
question:
また私が最も明るい兆しだと思うのは現在の世界はもはや裕福で教育レベルの高い国と貧しくて教育が行き届かない国に区別できないということですこの点は非常に大切です
answer:
همینطور می توانید ببینید — به عقیده من دلگرم کننده ترین یافته — این که ما دیگر در دنیایی که دقیقاً بین کشورهای ... | همش می گم ، "" نترا ، تو در گذشته زندگی می کنی در حالیکه من آینده را خلق می کنم همش می گم ، "" نترا ، تو در گذشته زندگی می کنی در حالیکه من آینده را خلق می کنم و وقتی کارم تمام شد ، تو می تونی درموردش بخونی. "" و وقتی کارم تمام شد ، تو می تونی درموردش بخونی. "" (خنده حاضرین) او لبخندی از روی گذشت به من زد ٬ و بعنوان تب... | 9 | NIv2 | task1098_ted_translation_ja_fa | fs_opt | [
-0.4239072799682617,
0.2943521738052368,
-0.1093921810388565,
-0.3543131947517395,
-0.41339606046676636,
-0.26645565032958984,
0.5715609788894653,
0.7704281806945801,
-0.2345280647277832,
-0.14829780161380768,
-0.8038818836212158,
0.526587188243866,
-0.3800183832645416,
0.28199511766433716... |
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