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 |
|---|---|---|---|---|---|---|
Instructions: In this task, you are given two sets, and a question. You need to find whether an element is at the intersection of two given sets. A Set is shown by two curly braces and comma-separated numbers inside, like {1, 2, 3}. The intersection of two given sets is the largest set which contains all the elements ... | Yes | 3 | NIv2 | task245_check_presence_in_set_intersection | zs_opt | [
0.3992810845375061,
-0.3977922797203064,
-0.35264796018600464,
0.46967560052871704,
0.06635337322950363,
-0.28899097442626953,
0.7067691087722778,
0.7627508640289307,
-0.1990857869386673,
-0.050916947424411774,
-0.6174918413162231,
-0.09926232695579529,
0.058945998549461365,
-0.25241506099... |
Instructions: This task is about translating a given English language sentence to Yoruba language.
Input: Jehovah’s Witnesses and the Bible.
Output: | Àwọn Ẹlẹ́rìí Jèhófà Máa Ń Lo Bíbélì. | 3 | NIv2 | task1685_menyo20k_translation | zs_opt | [
0.9869583249092102,
0.5966070294380188,
-0.01846429333090782,
0.3087632358074188,
0.32869651913642883,
-0.1145426481962204,
0.14234912395477295,
0.29643815755844116,
0.993193507194519,
-0.7671365737915039,
-0.055488161742687225,
0.17427317798137665,
-1.3292906284332275,
-0.4996221363544464... |
Definition: In this task, you are given an input list A. If the count of numbers is more than that of alphabets in the list, answer 'Numbers Win'. If the count of alphabets is more than that of numbers in the list, answer 'Alphabets Win'. If the count of numbers is same as that of alphabets in the list, answer 'Numbers... | Alphabets Win | 2 | NIv2 | task523_find_if_numbers_or_alphabets_are_more_in_list | zs_opt | [
-0.1346663534641266,
0.6481487154960632,
-0.8992973566055298,
-0.2173178493976593,
-0.43726396560668945,
-0.0074760811403393745,
0.48729413747787476,
-0.23771890997886658,
0.03549666702747345,
0.4026089608669281,
-0.8168956637382507,
0.11543425917625427,
-0.0031833001412451267,
0.165980115... |
TASK DEFINITION: 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 ... | Positive
| 8 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.25902700424194336,
-0.4677315354347229,
-0.24942080676555634,
0.12535926699638367,
0.21846279501914978,
-0.08406644314527512,
0.6485909223556519,
0.37994688749313354,
-0.19368445873260498,
0.3028593957424164,
-0.06686532497406006,
0.5876374244689941,
-0.720099151134491,
-0.3442152142524... |
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 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 re... | Yes | 0 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.9772050976753235,
-0.2480587661266327,
-0.11261140555143356,
-0.16207104921340942,
0.08614255487918854,
-0.9053431749343872,
1.2587862014770508,
0.7203760743141174,
-0.9504691362380981,
-0.2519512176513672,
-0.32437366247177124,
-0.42532414197921753,
-0.47386521100997925,
0.1511161625385... |
Part 1. Definition
In this task you will break down a question into the basic steps required to answer it.
A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in orde... | #1 return kristen stewart
#2 return movie of #1
#3 return #2 in which she gets raped | 7 | NIv2 | task176_break_decompose_questions | fs_opt | [
0.929865300655365,
-0.11751599609851837,
-0.8899320960044861,
0.6056990027427673,
0.080223947763443,
-0.3373032808303833,
0.9023030400276184,
0.05924784019589424,
-0.3427475690841675,
0.2581555247306824,
-0.3402014970779419,
-0.0701364278793335,
-0.1585359424352646,
0.4392162263393402,
0... |
Definition: A text is given in Tamil. Translate it from the Tamil language to the Malayalam language. The translation must not omit or add information to the original sentence.
Input: ஏற்கனவே, ஜனவரி 15, 2019 அன்று கேரளாவுக்கு சென்றிருந்த பிரதமர், கொல்லம் புறவழிச்சாலையை தொடங்கி வைத்ததோடு, திருவனந்தபுரத்தில் உள்ள பத்மநாப... | നേരത്തേ, 2019 ജനുവരി 15നു കൊല്ലം ബൈപാസിന്റെ ഉദ്ഘാടനം നിര്വഹിക്കാന് എത്തിയിരുന്ന പ്രധാനമന്ത്രി തിരുവനന്തപുരം പത്മനാഭസ്വാമി ക്ഷേത്രം സന്ദര്ശിച്ചിരുന്നു. | 2 | NIv2 | task1000_pib_translation_tamil_malayalam | zs_opt | [
0.2712618112564087,
0.5793135762214661,
0.18935337662696838,
0.0436345711350441,
-0.21487194299697876,
-0.24017933011054993,
-0.060062386095523834,
0.511660635471344,
-0.7533872127532959,
0.2902355492115021,
0.3382912874221802,
-0.08178752660751343,
-0.2302701473236084,
0.4446457624435425,... |
Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as... | look opposite right twice and walk opposite right thrice | 3 | NIv2 | task127_scan_long_text_generation_action_command_all | zs_opt | [
0.2928289473056793,
0.9690828323364258,
-0.5774415731430054,
0.22663232684135437,
-0.017479192465543747,
0.29957762360572815,
0.060593828558921814,
0.7223191261291504,
-0.34814804792404175,
-0.1511225402355194,
-0.6322044134140015,
-0.46196627616882324,
-0.5373378992080688,
-0.097865007817... |
Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Input: עכשיו אין בכלל פירוט.
Output: | Agora não tem qualquer resolução. | 2 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.3214864730834961,
0.7096697092056274,
-0.0665653720498085,
-0.3323405385017395,
-0.6235995292663574,
-0.18317551910877228,
0.20099933445453644,
0.6694380640983582,
1.1208109855651855,
0.13237252831459045,
-0.9472090601921082,
-0.08999820798635483,
-0.3505760431289673,
0.4066984057426452... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
ではこの新しい研究成果をどうすれば多くの人に伝えられるでしょう ？ | E come dovremmo trasmettere questa nuova ricerca al grande pubblico? | 0 | NIv2 | task1096_ted_translation_ja_it | zs_opt | [
-0.5145466327667236,
0.35059142112731934,
-0.2411317080259323,
0.06298986077308655,
-0.5057770013809204,
-0.5240219831466675,
-0.10631820559501648,
0.5068492293357849,
0.28741705417633057,
-1.009547472000122,
-0.2855706512928009,
0.3746953010559082,
-0.2438085675239563,
0.6843503713607788,... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provide... | He once stole his teachers ideas.
| 0 | NIv2 | task270_csrg_counterfactual_context_generation | fs_opt | [
0.5274226665496826,
0.39647459983825684,
0.010225307196378708,
0.6480580568313599,
0.2173803597688675,
-0.8519819974899292,
0.19865632057189941,
1.0002321004867554,
0.020492875948548317,
0.14731259644031525,
-0.15205346047878265,
0.17700599133968353,
-0.5077478885650635,
-0.095928430557250... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Ex Input:
ahmednagar
Ex Output:
What famous person was born in Ahmaddnagar India?
Ex Input:
1968 grand national
Ex Output:
Which jockey rode Red Alligator to victory in the 1968 Grand National?
E... | Which band had a 2005 hit with the anthemic track Best of You?
| 1 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
-0.038776643574237823,
-0.1684758961200714,
-0.2932847738265991,
0.07687877118587494,
-0.43149882555007935,
0.1361328512430191,
0.004958659410476685,
0.24772745370864868,
-0.17965799570083618,
-0.8872841000556946,
-0.8105751276016235,
0.07940232008695602,
-0.6734973192214966,
-0.2030682563... |
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.
Problem:[-76, -76, 67, -80, -100, -50]
Solution: | [-76, -76, 67, -80, -100, -50] | 8 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
0.21332094073295593,
-0.16326722502708435,
-0.6117978096008301,
-0.7199531197547913,
0.3620865046977997,
0.1681526005268097,
1.4876360893249512,
0.10489949584007263,
-0.3261033296585083,
0.14124229550361633,
-0.48188990354537964,
0.09985248744487762,
-0.16539312899112701,
-0.42181739211082... |
You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in ... | Output: PersonX was enjoying the movie a lot more than PersonY, because _ really liked horror movies.
| 2 | NIv2 | task032_winogrande_question_generation_person | fs_opt | [
0.6798144578933716,
1.1325503587722778,
-0.017068002372980118,
-0.10597322881221771,
0.004942015744745731,
-0.3593907356262207,
0.7483903169631958,
1.0889568328857422,
0.1518835723400116,
-0.7612669467926025,
-0.03319896012544632,
-0.3147734999656677,
-0.5476341247558594,
0.267825901508331... |
Instructions: This task is about translating a given Spanish language sentence to English.
Input: Por tanto, la primitiva es el coseno de x al cubo, y lo evalúo en pi y en pi medios.
Output: | So the antiderivative is cosine of x to the third over 3, and I evaluate it at pi and pi over 2. | 3 | NIv2 | task1692_qed_amara_translation | zs_opt | [
-0.03005722537636757,
0.7330352067947388,
-0.14884714782238007,
-0.5757667422294617,
-0.24575072526931763,
-0.048059284687042236,
0.3709978461265564,
0.8984841108322144,
0.7990742325782776,
-0.0512329638004303,
-0.19803732633590698,
-0.24521586298942566,
-0.41727638244628906,
-0.3626064062... |
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: obscene and non-obscene. A comment is obscene if it is considered offensive to the public sense of decency, for example because it too obviously relates to sex or contains language regarded as ... | Obscene
| 3 | NIv2 | task326_jigsaw_classification_obscene | fs_opt | [
0.21110942959785461,
0.1979343295097351,
0.4528840184211731,
0.3947848677635193,
0.13535477221012115,
-0.07236336171627045,
0.43367964029312134,
0.6798343658447266,
0.31750768423080444,
0.8171675205230713,
-0.23474955558776855,
0.26057273149490356,
-0.21769724786281586,
-0.964211106300354,... |
Teacher: 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 probabilit... | Понимание сердечного приступа заставит вас прийти в форму. | 2 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | fs_opt | [
-0.005173224024474621,
0.19137537479400635,
0.18219152092933655,
-0.922210156917572,
-0.4373214542865753,
-0.35263174772262573,
0.7485793232917786,
1.689983606338501,
0.572389543056488,
-0.6319738626480103,
-0.6415919661521912,
-0.11074524372816086,
-0.3084467649459839,
-0.2541788816452026... |
Definition: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Input: អគ្គលេខាធិការនៃអង្គការសហប្រជាជាតិ បាន គីមួន បានថ្លែងនៅក្នុងសេចក្តីថ្លែងការណ៍មួយថា អង្គការសហប្រជាជាតិប្រចាំនៅប្រទេសកូតឌីវ័រ... | 潘基文国際連合事務総長はコートジボワール内の国連は「義務を果たし、あらゆる人権侵害やヘイトと暴力の扇動、国連平和維持軍への攻撃に対する監視と記録を継続する」と声明で述べた。 | 2 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.1404295116662979,
-0.018016550689935684,
-0.7619041204452515,
-0.5144393444061279,
-0.04712773859500885,
-1.2237520217895508,
0.26641517877578735,
-0.13619738817214966,
-0.6205250024795532,
0.07016664743423462,
-0.6896846294403076,
0.34572285413742065,
-1.1784168481826782,
0.728771805763... |
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.
[-401, 645, -218, -263, -581, 74] | [-400, 640, -220, -260, -580, 70] | 0 | NIv2 | task373_synthetic_round_tens_place | zs_opt | [
-0.7286403179168701,
0.9838049411773682,
-0.13297349214553833,
-0.1622004359960556,
-0.42102891206741333,
0.005597873590886593,
1.1749451160430908,
-0.045912958681583405,
-0.18852168321609497,
0.3055689334869385,
-0.9902665615081787,
-0.023892637342214584,
-0.76043701171875,
0.107476189732... |
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... | No
| 0 | NIv2 | task1200_atomic_classification_xeffect | fs_opt | [
0.47448086738586426,
0.3563176393508911,
0.3644518554210663,
-0.4054482579231262,
-0.6654497981071472,
-0.5666380524635315,
1.4081504344940186,
0.5367666482925415,
-0.39280033111572266,
-0.5194530487060547,
-0.6185130476951599,
-0.30345064401626587,
-0.8720612525939941,
0.1364482194185257,... |
You will be given a definition of a task first, then some input of the task.
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... | Khi ở ngoài trời lạnh, cô nên mặc nhiều lớp vải để quấn ấm. | 1 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
-0.3349897563457489,
0.27590295672416687,
-0.26408442854881287,
0.5610381364822388,
-0.3401191830635071,
-0.773796796798706,
0.47719526290893555,
0.9785542488098145,
-0.3041115701198578,
-0.08024071902036667,
-0.6029771566390991,
-0.25158625841140747,
-0.48791638016700745,
0.21895009279251... |
In this task, you are given a dialogue from a conversation between an agent and a customer. Your task is to determine the speaker of the dialogue. Answer with "agent" or "customer".
One example: Hello. How may I aid you today?
Solution is here: agent
Explanation: This is a pretty straightforward dialogue, and the speak... | customer | 6 | NIv2 | task575_air_dialogue_classification | fs_opt | [
-0.03616219758987427,
0.3368045687675476,
-0.08904500305652618,
-0.7154048681259155,
-0.02362372912466526,
-0.5581233501434326,
0.5638056993484497,
0.048889949917793274,
0.08775044977664948,
0.606788694858551,
-0.36034125089645386,
0.23923173546791077,
-0.8709256052970886,
-0.3231546878814... |
Teacher:A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: 30 lakh bullet-proof jackets over the last four and a half years.
Student: | 86 لاکھ بلٹ پروف جیکٹ کی پرانی مانگ کا ذکر کرتے ہوئے کہا کہ مرکزی حکومت نے ساڑھے چار برس میں 2. | 6 | NIv2 | task1057_pib_translation_english_urdu | zs_opt | [
-0.2990598976612091,
0.9681100845336914,
-0.021128984168171883,
-0.4931400418281555,
-0.1120413988828659,
-0.7750647068023682,
0.07787790894508362,
0.014789799228310585,
0.04701326787471771,
-0.724486768245697,
-0.18588143587112427,
0.1582663655281067,
-0.4231281876564026,
-0.6170922517776... |
You will be given a definition of a task first, then some input of the task.
In this task, based on the given context word, you are asked to create a pair of sentences each containing a blank (_). The sentence pair should look similar and should be about two different persons (PersonX and PersonY). Additionally, the tw... | Sentence 1: PersonX loaned her flat iron to PersonY who ended up breaking it, but _ is forgiving.
Sentence 2: PersonX loaned her flat iron to PersonY who ended up breaking it, so _ is sorry. | 1 | NIv2 | task030_winogrande_full_person | zs_opt | [
0.7235113382339478,
0.3489948511123657,
-0.29408591985702515,
0.01200411468744278,
0.7000712156295776,
-0.6315579414367676,
1.0325093269348145,
1.0483922958374023,
-0.34665513038635254,
-0.6676927804946899,
-0.3275928497314453,
-0.04279710724949837,
-0.49166256189346313,
0.3330648243427276... |
Detailed Instructions: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do ... | the tax papers | 8 | NIv2 | task165_mcscript_question_answering_commonsense | zs_opt | [
0.07558375597000122,
0.9317806363105774,
-0.38554632663726807,
0.45886754989624023,
-0.47410809993743896,
-0.10581682622432709,
0.9905986785888672,
1.25968337059021,
0.31823623180389404,
0.0493551567196846,
-0.215891495347023,
0.43299782276153564,
-0.06289570033550262,
0.3145630359649658,
... |
Q: In this task you will be given a list of integers. For every element in the list, if the element is positive you should multiply it by 2. If the element is negative you should multiply it by -3. The output should be a list of integers that is the result of applying that logic to the input list.
Note: A list is pre... | [120, 28, 270, 132, 92, 36, 186] | 7 | NIv2 | task374_synthetic_pos_or_neg_calculation | zs_opt | [
-1.0873178243637085,
0.451999306678772,
0.18148553371429443,
-0.3546840250492096,
0.0861085057258606,
-0.25490593910217285,
1.0852575302124023,
0.16589561104774475,
-0.21844151616096497,
0.44122952222824097,
-0.12131369113922119,
0.35626542568206787,
-0.46039506793022156,
-0.18888351321220... |
Teacher:A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? Solve this instance: या व्यतिरिक्त, सोलर ड्रायर सेटअप लावणाऱ्यांना 20 कोटी रुपयांच्या अनुदानाची तरतूद करण... | આ ઉપરાંત સૌર ડ્રાયર સેટઅપ માટે 20 કરોડ રૂપિયાની સબસિડીની જોગવાઈ પણ કરવામાં આવી છે. | 6 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
-0.12021169066429138,
0.43452173471450806,
-0.12488102167844772,
-0.639955997467041,
-0.4401690363883972,
-1.4442088603973389,
0.19147656857967377,
0.16264358162879944,
-0.07452180981636047,
-0.7161345481872559,
0.06604762375354767,
-0.13677360117435455,
-0.621576726436615,
-0.450036823749... |
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.
Example Input: นอกจากการเปลี่ยนแปลงเรื่องลูกขุนแล้ว แผนยังพูดถึงเรื่องกระบวนการของการไต่สวนและโครงสร้างของศาล และการสอดส่องดูแล
Example Output: 陪審員制度... | この4試合は7月25日から7月31日の間に予定されていた。
| 3 | NIv2 | task1128_alt_th_ja_translation | fs_opt | [
-0.5180647373199463,
-0.04741813987493515,
-0.4171328544616699,
-0.05842452496290207,
-0.1285698115825653,
-0.46493715047836304,
0.454761266708374,
0.33988577127456665,
-0.21499934792518616,
0.060425832867622375,
-0.33026134967803955,
0.6281450986862183,
-0.5279614329338074,
0.895436465740... |
Detailed Instructions: Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is -
'.': ... | DET | 8 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | zs_opt | [
0.3446292281150818,
0.128989577293396,
-0.2395593822002411,
0.1109747588634491,
0.006578694097697735,
-0.6185373663902283,
0.8647966384887695,
0.6713660359382629,
-0.350649893283844,
-0.20936301350593567,
-0.40017157793045044,
0.2821491062641144,
-0.7187756896018982,
0.1645919382572174,
... |
A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.
Let me give you an example: देश के अलग-अलग इलाकों में जितना ज्यादा इंफ्रास्ट्रक्चर मजबूत होगा, संपर्क सुगम होगा, जितना ज्यादा ट्रांसपोर्ट के अलग-अलग माध... | અગાઉ આજે સવારે સરદાર વલ્લભભાઈ પટેલ ઇન્ટરનેશનલ એરપોર્ટ પર એર ફોર્સ વાઇવ્સ વેલ્ફેર એસોસિએશન (એએફડબલ્યુડબલ્યુએ)નાં પ્રમુખ શ્રીમતી કમલપ્રીત ધનોઆ સાથે ચીફ ઑફ એર સ્ટાફનું સ્વાગત સ્વાકનાં એર માર્શલ આર. | 8 | NIv2 | task1034_pib_translation_hindi_gujarati | fs_opt | [
0.09141544997692108,
0.27896514534950256,
0.12748560309410095,
-0.1625596582889557,
0.5121100544929504,
-0.3229842185974121,
0.12164181470870972,
0.3048854172229767,
-0.39061176776885986,
0.11532150954008102,
-0.9012443423271179,
0.011404424905776978,
-0.27888816595077515,
-0.3734481334686... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
"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 on that line of though... | Response 2 | 0 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | fs_opt | [
0.7847927212715149,
0.3947998583316803,
0.3639412224292755,
-0.05794885754585266,
0.5310958027839661,
-0.7966675758361816,
0.5598476529121399,
0.6782910227775574,
-0.41100624203681946,
-0.11138540506362915,
-0.5333020687103271,
0.12281864881515503,
-0.7274123430252075,
0.37096357345581055,... |
This task is about reading the given passage and construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) its answer is a continuous text span from the paragraph. Avoid creati... | Who married Sacagewea?
| 1 | NIv2 | task074_squad1.1_question_generation | fs_opt | [
0.22137710452079773,
0.22940534353256226,
-0.2899172902107239,
-0.1410011351108551,
0.2072294056415558,
0.018522808328270912,
0.7143504619598389,
0.9501549005508423,
0.5701818466186523,
0.39143043756484985,
-0.5827226638793945,
0.645930826663971,
-1.0276507139205933,
-0.34091755747795105,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to provide one question which clarifies the input question and it has one unique answer, and also provide an answer to the generated qu... | Where does the saying "Don't throw the baby out with the bathwater" come from?
German proverb | 1 | NIv2 | task671_ambigqa_text_generation | zs_opt | [
-0.07452652603387833,
0.9197639226913452,
-0.5776300430297852,
0.08428680896759033,
-0.3440452218055725,
-0.5330480337142944,
0.09877339005470276,
0.33668503165245056,
0.16444292664527893,
-0.46964335441589355,
-0.14147664606571198,
0.4920211136341095,
-0.6251167058944702,
-0.2680757045745... |
This task is to find the number of 'For' loops present in the given cpp program.
int sum;
void f(int x,int min)
{ int p;
if (x==1) sum++;
else for (p=min;p<=x;p++)
if (x%p==0) f(x/p,p);
}
int main()
{ int n,i,j,k;
cin>>n;
for (i=1;i<=n;i++)
{sum=0;
cin>>k;
for (j=2;j<... | 3 | 0 | NIv2 | task921_code_x_glue_information_retreival | zs_opt | [
-0.6518876552581787,
0.6127283573150635,
-0.6141189336776733,
-0.20463430881500244,
-0.5245969295501709,
0.7223478555679321,
0.3752427399158478,
0.7150014638900757,
-1.1262906789779663,
0.4486849308013916,
0.10972541570663452,
-0.2346155345439911,
-0.0988992303609848,
-0.07020432502031326,... |
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 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 qu... | Entity | 0 | NIv2 | task1289_trec_classification | fs_opt | [
0.16623327136039734,
0.7493096590042114,
-0.00045016821241006255,
-0.24697813391685486,
-0.1490294635295868,
-1.0458457469940186,
0.8490079641342163,
0.1598449945449829,
-0.608431339263916,
-0.5329965949058533,
-1.1270484924316406,
0.18043726682662964,
-0.5515276193618774,
0.51791596412658... |
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
[Q]: Nguyen Thanh Trung, 32, from Vietnam, was on a two-month training programme and was being instructed in the helicopter by Capt Mike Green. Savaa... | 'Tech Bacc' aims to boost status of vocational courses
| 5 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.03427521884441376,
0.6959211826324463,
0.010904505848884583,
-0.5493798851966858,
0.7506369352340698,
-0.621932864189148,
0.25246793031692505,
0.8968966603279114,
-0.5835577249526978,
0.5760689973831177,
0.03701743856072426,
0.7389240860939026,
-0.2278733253479004,
0.24093735218048096,
... |
In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.
Example: Placa motora es la unión entre la neurona motora y el
Example solution: Motor plate is the union between the motor neuron and the
Example explanation: Language translation i... | Solution: For what type of addiction has the community reinforcement program plus incentive therapy been proven to be a well-established treatment? | 5 | NIv2 | task1433_head_qa_language_translation_es_to_en | fs_opt | [
-0.3011917769908905,
0.14689555764198303,
0.29839247465133667,
-0.2194041758775711,
0.00593844149261713,
-0.9262729287147522,
0.8094651103019714,
0.7493827939033508,
0.7208396196365356,
-0.4878751039505005,
-0.38972848653793335,
0.663573145866394,
-0.15641507506370544,
0.21382257342338562,... |
TASK DEFINITION: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
PROBLEM: Simula noong 1927, nagkaroon na ang Hawaii ng pagbabawal sa mga bilbord at mga katulad pang paraan ng pagpapatalastas sa... | イスラエル軍の上層部は、イスラエル国防軍が７～１０日でレバノンから撤退を完了することができたと言う。
| 8 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
-0.05226682871580124,
-0.25025349855422974,
-0.022525036707520485,
-0.20280033349990845,
-0.1592351198196411,
0.6184111833572388,
1.3014748096466064,
0.30662453174591064,
-0.03759483993053436,
-0.1105935350060463,
-0.9449222087860107,
0.29924076795578003,
-0.6771667003631592,
0.66869992017... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.
Q: 反対の方に行ってみましょうあらゆる分野を広く総合したトークはどうでしょう
A: Podemos ir noutra dirección e dicir está ben, son charlas que sintetizan ampliamente unha morea de campos distintos.
****
Q: 皆さんには自然淘汰が生み出した破壊的で危険な力強い特徴が備わっています
A: Cada un de... | Ese é outro xene que andamos a procurar.
****
| 4 | NIv2 | task1095_ted_translation_ja_gl | fs_opt | [
-0.7971793413162231,
0.49192488193511963,
0.41220158338546753,
-0.3642393946647644,
-0.43069154024124146,
-0.5902026891708374,
0.2773893177509308,
0.0632314682006836,
-0.24962076544761658,
0.010818233713507652,
-0.5984541773796082,
0.5917758345603943,
-0.9150160551071167,
0.67470782995224,... |
Given the task definition and input, reply with output. You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: 26 ਫਰਵਰੀ 2019 ਨੂੰ ਭਾਰਤੀ ਹਵਾਈ ਫੌਜ (ਆਈਏਐਫ) ਦੇ ਬਾ... | ਚਕੋਥੀ | 5 | NIv2 | task952_wiki_cloze_pa_multiple_choice_question_answering | zs_opt | [
-0.35216832160949707,
0.846541166305542,
-0.009747067466378212,
-0.25927144289016724,
-0.14001502096652985,
-0.46999993920326233,
0.6903501152992249,
0.29119813442230225,
-0.5127732753753662,
0.2063184231519699,
-0.8184157609939575,
0.3800663352012634,
-0.13916859030723572,
-0.333499848842... |
Definition: In this task, you are given two statements. The task is to output whether a given textual premise, i.e. Statement 2, entails or implies a given scientific fact, i.e. Statement 1. The output should be 'entails' if Statement 2 supports Statement 1 and should be 'neutral' otherwise.
Input: Sentence 1: An organ... | entails | 2 | NIv2 | task1554_scitail_classification | zs_opt | [
-0.032101795077323914,
-0.12765130400657654,
-0.14627854526042938,
0.34478917717933655,
-0.20147037506103516,
-1.003969669342041,
-0.3224499225616455,
0.6485417485237122,
0.14498329162597656,
-0.3714841306209564,
-0.7850816249847412,
0.4235003590583801,
-0.20806705951690674,
-0.39096033573... |
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... | 42351 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.17665015161037445,
0.366905152797699,
-0.6067503094673157,
-0.3995673656463623,
-0.3535006046295166,
-0.5424110293388367,
-0.025213126093149185,
0.5294749736785889,
-0.10587954521179199,
0.0331561304628849,
-0.932594895362854,
-0.46341145038604736,
-0.9564396142959595,
0.326911896467208... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
Input: اونها شما رو تحت فشار قرار مى دن ، درستِ ؟ بهتون مى گن كه "" ميخوام نمره هات رو ببينم. آزمون آخر رو چطور پشت سر گذاشتى ؟
Output: | يقومون بازعاجك ، أليس كذلك ؟ يتّصلون بك قائلين "" أريد أن أعرف نتائجك. كيف كان اختبارك الأخير ؟ | 3 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.32930541038513184,
0.622822105884552,
-0.1882028877735138,
-1.1584264039993286,
-0.5519585013389587,
0.1923799216747284,
0.8024441003799438,
0.1488245278596878,
0.6686630249023438,
-0.1617659628391266,
-1.1025334596633911,
-0.4812113642692566,
-0.4325985908508301,
0.5960886478424072,
... |
Detailed Instructions: In this task, you're given a review from Amazon. Your task is to generate a rating for the product on a scale of 1-5 based on the review. The rating means 1: extremely poor, 2: poor, 3: neutral, 4: good, 5: extremely good.
Q: Feel safe and a noticeable if has someone close to my house with this s... | 5 | 9 | NIv2 | task1310_amazonreview_rating_classification | zs_opt | [
0.026805896311998367,
0.019493957981467247,
-0.21094942092895508,
-0.08176274597644806,
0.36647993326187134,
-0.9222978353500366,
0.4037214517593384,
0.8403539061546326,
0.07504823803901672,
0.6763015389442444,
-0.730801522731781,
0.2902306318283081,
-0.7548222541809082,
-0.259812891483306... |
In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting ... | ve949f3963v7732 | 0 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | zs_opt | [
0.3508124351501465,
-0.23861798644065857,
-0.832429051399231,
-0.05668150633573532,
-0.15514600276947021,
-0.20211288332939148,
1.02145516872406,
0.20925851166248322,
-0.5723258852958679,
0.0913996770977974,
-0.9092867970466614,
-0.23007746040821075,
0.11614195257425308,
-0.327961176633834... |
A text is given in Marathi. Translate it from the Marathi language to the Urdu language. The translation must not omit or add information to the original sentence.
Example: मित्रांनो, माझी ही सूचना तुम्हाला निश्चितच चांगली वाटली असणार
Example solution: دوست، میرا نوٹس آپ نے یقینی طور پر اچھا محسوس کیا ہے
Example explan... | Solution: کناڈا کے وزیراعظم کے بھارت دورے کے دوران وزیراعظم نریندر مودی کا پریس بیان نئی دہلی،23فروری، | 5 | NIv2 | task989_pib_translation_marathi_urdu | fs_opt | [
0.1533481627702713,
0.2563319206237793,
-0.16210265457630157,
-0.1594022512435913,
0.13897889852523804,
-1.0303599834442139,
0.3843272626399994,
0.04964011162519455,
-0.4844515025615692,
-0.17234911024570465,
-0.4102576971054077,
-0.6564958095550537,
0.08905328810214996,
-0.039078049361705... |
In this task you will be given a list of dictionaries. A dictionary is a set of key-value pairs, where each key is unique and has a value associated with that key. You should sort the list of dictionaries from smallest to largest by their 'first' key. If there is two dictionaries with the same 'first' value then sort t... | [{'first': -98, 'second': -25}, {'first': 28, 'second': -70}]
| 5 | NIv2 | task123_conala_sort_dictionary | fs_opt | [
0.2513161897659302,
-0.1477358341217041,
-0.03132530301809311,
-0.29460179805755615,
0.50312340259552,
-0.6109024286270142,
0.5531026124954224,
0.857957661151886,
-0.3371151089668274,
-0.36988770961761475,
-0.482082724571228,
-0.41004401445388794,
-0.6659765839576721,
0.15911246836185455,
... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Example: אחרי הכל, הם החליטו, והם עשו,
Output: Afinal de contas elas é que decidem, e decidiram mesmo.
The Hebrew sentence is correctly translated... | Vivemos num mundo em estabilização, num mundo em urbanização, num mundo em envelhecimento, num mundo em interligação. | 1 | NIv2 | task1114_ted_translation_he_pt | fs_opt | [
0.2753899097442627,
1.2710282802581787,
0.2142372578382492,
0.5621685981750488,
-0.39128756523132324,
-0.24200288951396942,
-0.10349825024604797,
0.5938583016395569,
0.4457966387271881,
-0.06526624411344528,
-0.6587623953819275,
0.5302670001983643,
-0.3565312325954437,
-0.292546808719635,
... |
Detailed Instructions: In this task, you are given a premise, a hypothesis, and an update. The premise sentence describes a real-world situation and is always assumed to be true. The hypothesis sentence describes an assumption or inference that you might make about that situation having read the premise. The update pro... | strengthener | 4 | NIv2 | task936_defeasible_nli_snli_classification | fs_opt | [
0.14714325964450836,
0.21886137127876282,
-0.43213772773742676,
0.1152481734752655,
-0.16851942241191864,
-0.6328436136245728,
0.6520251035690308,
1.4415888786315918,
1.0723844766616821,
-0.28369438648223877,
-1.1429190635681152,
-0.016250817105174065,
-0.6395557522773743,
0.08827558159828... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
--------
Question: Eu podo dicir que, aínda que deixei a carreira,
Answer: Muszę przyznać, nawet jako spadkowicz z koledżu,
Question: En segundo lugar, ¿COmprariades un coche seguindo só o consello do vendedor?
Answer:... | Więc pomyślała... "" Co mi szkodzi "".
| 7 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-1.5986796617507935,
0.410797655582428,
-0.21528004109859467,
-0.13286763429641724,
-0.5887175798416138,
-0.5094550848007202,
0.7454733848571777,
-0.1255466341972351,
-0.12186816334724426,
-0.32988303899765015,
0.13661806285381317,
0.2992670238018036,
-0.3279162049293518,
0.691725611686706... |
Given a passage and a query based on the passage, generate an unambiguous, concise and simple answer to the query from information in the passage. Note that the answer may not be present in exact form.
One example: Supplemental Nutrition Assistance Program (SNAP) Eligibility. To see if you might be eligible for Supplem... | The distance between Nashville and Bowling Green in a straight line is 55 miles or 88.5 Kilometers. | 6 | NIv2 | task870_msmarco_answer_generation | fs_opt | [
0.26451241970062256,
0.3235962390899658,
0.16769881546497345,
-0.12405652552843094,
0.36703142523765564,
-0.5765193700790405,
1.1008838415145874,
0.9617053270339966,
-0.42789220809936523,
0.125367671251297,
0.7271878719329834,
0.424094021320343,
-1.1935391426086426,
0.07660963386297226,
... |
In this task, you need to output 'Yes' if the given number is a prime number otherwise output 'No'. A 'prime number' is a a whole number above 1 that can not be made by multiplying other whole numbers.
Example: 7
Example solution: Yes
Example explanation: 7 is a prime number as it has no factors greater than 1. So, it ... | Solution: Yes | 5 | NIv2 | task092_check_prime_classification | fs_opt | [
-0.21974176168441772,
1.1427958011627197,
-0.0388738177716732,
-0.20943227410316467,
0.02318098396062851,
-0.19293077290058136,
0.6683788895606995,
0.7779619097709656,
0.4045761823654175,
-0.22564159333705902,
-0.11308431625366211,
0.14576998353004456,
-0.9070102572441101,
0.00975897349417... |
Given the task definition, example input & output, solve the new input case.
Provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part... | PRON | 1 | NIv2 | task1167_penn_treebank_coarse_pos_tagging | fs_opt | [
0.3939433693885803,
0.12921534478664398,
-0.17580798268318176,
0.22388087213039398,
0.024561099708080292,
-0.4744224548339844,
0.42792150378227234,
0.788226842880249,
-0.29161542654037476,
0.016806762665510178,
-0.5675455331802368,
0.19518211483955383,
-0.44709503650665283,
0.1579684913158... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
--------
Question: 色んなアイデアがある中で目指すのはこの TED でも誰かに言いましたがこれまでに無かった物を作ることです
Answer: We have lots of ideas, but I guarantee you this one thing — and I've talked to some people here at TED — it's not going to look like anythin... | I know what you're telling me, and I'm not disagreeing with you.
| 7 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.22781962156295776,
0.1543339192867279,
0.747352123260498,
-0.15432646870613098,
0.6564182639122009,
-0.2834417521953583,
-0.2586042881011963,
0.2178305983543396,
0.012539613991975784,
-0.2979799509048462,
0.19891071319580078,
0.09481650590896606,
-0.8544692993164062,
0.3068774938583374,... |
Detailed Instructions: You will be given a text in Russian language which contain different emotion labels from the list - ['joy', ' sadness', 'surprise', 'fear', 'anger']. You need to output the incorrect emotion label, which is irrelevant to the input text. Your answer (i) should contain only one emotion label (ii) s... | sadness | 9 | NIv2 | task1663_cedr_ru_incorrect_classification | zs_opt | [
-0.7484644055366516,
0.3032289743423462,
0.24238735437393188,
-0.48224902153015137,
-1.1740646362304688,
-0.6422700881958008,
0.43087339401245117,
1.1458162069320679,
-0.23627784848213196,
-0.37811487913131714,
-0.44177117943763733,
-0.18807244300842285,
-0.2673746943473816,
0.117850467562... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.
Q: Perché Steven, nonostante fosse paralizzato, com'era in quella piscina, non poteva camminare, non poteva usare le braccia, per questo portava quella specie di braccioli. Li avete visti? Era felice. Eravamo in spiaggia. C... | إذاً دعونا نكبّر الصورة.
****
| 4 | NIv2 | task1250_ted_translation_it_ar | fs_opt | [
-0.31842905282974243,
0.5574230551719666,
-0.2870403528213501,
-1.0973784923553467,
0.10987810790538788,
-0.4085478186607361,
0.11728499829769135,
0.8690800666809082,
0.16157913208007812,
0.26090317964553833,
-0.6727750301361084,
0.9197310209274292,
-0.35112234950065613,
0.0446558259427547... |
Part 1. Definition
In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to "decompose the question"i.e. write the steps required to construct the given answer where each step is a questio... | Step1: What was General Motors first acquisition after it was formed?, Step2: Was #1 named after David Buick?, Wikipedia page for step 1: General Motors, Wikipedia page for step 2: Buick, not_definitive_answer: False, incorrect_answer: False | 7 | NIv2 | task168_strategyqa_question_decomposition | fs_opt | [
0.8469646573066711,
-0.49360623955726624,
-0.41370856761932373,
0.4598211646080017,
0.02067895606160164,
-0.6817524433135986,
1.3653645515441895,
0.4867374002933502,
0.7413145303726196,
0.42400699853897095,
-0.2651805877685547,
-0.04966719448566437,
-0.5621305704116821,
0.19860537350177765... |
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 list all elements of A from the ith element to the jth element. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
One example: 6, 14, ['9545', '5185', ... | z, h, k | 6 | NIv2 | task091_all_elements_from_index_i_to_j | fs_opt | [
0.2458232045173645,
0.4255983233451843,
-0.5221376419067383,
-0.6051482558250427,
-0.16506007313728333,
-0.16496780514717102,
0.6044017672538757,
-0.1838027536869049,
-0.7924612760543823,
-0.04923417419195175,
-0.9080208539962769,
-0.09811701625585556,
0.07475797832012177,
-0.0885557234287... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.
Example: 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 solution: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.
Example ... | Solution: Se trata de su futuro. | 5 | NIv2 | task1223_ted_translation_ja_es | fs_opt | [
-0.6159172654151917,
0.4827432632446289,
-0.49661391973495483,
-0.49253571033477783,
-0.8399598598480225,
0.12246754765510559,
0.21143415570259094,
0.49354806542396545,
-0.04724615439772606,
-0.6753426790237427,
-0.2541167140007019,
0.017467990517616272,
-1.0435516834259033,
-0.43403345346... |
Detailed Instructions: 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.
Q: Category: ACTORS & ACTRESSES
Clue: He played a box of lemon chiffon ... | ted danson | 9 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
-0.6568578481674194,
0.41940540075302124,
0.34964579343795776,
-0.47813281416893005,
0.4403608739376068,
-0.11445693671703339,
0.3534092903137207,
0.13536952435970306,
0.07174389064311981,
0.24488934874534607,
0.1305835247039795,
-0.25011754035949707,
-0.7144705653190613,
-0.79387855529785... |
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.
--------
... | Non-identity-attack
| 7 | NIv2 | task325_jigsaw_classification_identity_attack | fs_opt | [
-0.3378738760948181,
0.021331563591957092,
0.39796745777130127,
0.32298415899276733,
-0.2881757318973541,
-0.4253142476081848,
1.1175289154052734,
0.5899139642715454,
0.4064212739467621,
0.1668776571750641,
-0.23737934231758118,
0.30802589654922485,
-0.47145897150039673,
-0.341600775718688... |
instruction:
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.
question:
Tell me more, I'm listening.
It's good that both parties have a say there. Anything else you can enlighten me a... | Citywide administration is coordinated by the Greater London Authority, while local administration is carried out by 33 smaller authorities.
| 9 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.5830495357513428,
0.04802084341645241,
-0.11452215164899826,
-0.2019331157207489,
-0.11078138649463654,
-0.5673989653587341,
0.4086935222148895,
0.03334908187389374,
-0.4959968328475952,
0.4406232535839081,
-0.30692991614341736,
0.06657843291759491,
-0.24924369156360626,
-0.0066713453270... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Iyanceda ukuba umphathi wenqanawa wenza uthatha amarhintyela amakhulu kwiintambo zomva wenqanawa asebenzise igwegwe lesikhephe ukurhintyela kwipali. | It is helpful if the skipper takes large bights in the stern lines and uses the boathook to loop them over the pilings. | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
0.13775622844696045,
0.8800884485244751,
-0.06420297920703888,
-0.2621874213218689,
-0.19971296191215515,
-0.8675135374069214,
0.7211288213729858,
0.6705508828163147,
0.08719484508037567,
-0.3186887204647064,
-0.6320785880088806,
-0.1729276478290558,
-0.46529465913772583,
0.055853344500064... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
[Q]: I just bought the same two items at my local store for less, except they were not marked value pack.
[A]: ... | The cannisters arrived intact, but the walnuts inside were rancid.
| 5 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.24113507568836212,
0.542080283164978,
-0.11444123089313507,
-0.46295297145843506,
-0.56691575050354,
0.10435605049133301,
0.7832982540130615,
0.39363446831703186,
-0.5155355930328369,
0.16990482807159424,
0.16080859303474426,
0.4471999406814575,
-0.9152034521102905,
0.3294389843940735,
... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: russia 's key stock market index plunged mor... | no | 1 | NIv2 | task289_gigaword_summarization | zs_opt | [
-1.2813998460769653,
0.6808765530586243,
0.290070503950119,
0.2855052947998047,
-0.1452779471874237,
0.23064695298671722,
0.3473066985607147,
0.9121817350387573,
-0.01749601401388645,
-0.32174545526504517,
-0.9815355539321899,
0.08733292669057846,
-0.40652841329574585,
0.4808662533760071,
... |
Definition: In this task, you're given a fill-in-the-blank question that contains two object names. Additionally, you're given one answer which is one of the objects present in the question. In this task, you need to minimally change the given question so that the answer flips to another object in the question. Remembe... | They couldn't get their new sofa through the apartment door because the _ was too wide. | 2 | NIv2 | task034_winogrande_question_modification_object | zs_opt | [
0.661657989025116,
-0.004748827777802944,
0.055234525352716446,
-0.15654712915420532,
0.6287702322006226,
-0.7455264329910278,
0.9233441948890686,
1.0236581563949585,
-0.5905231237411499,
-0.20818988978862762,
-0.4661363363265991,
0.28243744373321533,
-0.35156214237213135,
0.01958230882883... |
You are given a target race, and two sentences. Your task is to determine whether the second sentence is either a stereotype, anti-stereotype, or is unrelated with respect to the first sentence and the target. A stereotype is a widely held but oversimplified notion of a group of people. An anti-stereotype is an idea th... | anti-stereotype
| 7 | NIv2 | task320_stereoset_classification_race | fs_opt | [
0.10265325754880905,
0.3039347529411316,
0.2209610491991043,
0.0203158650547266,
-0.01462106965482235,
-0.188613161444664,
0.6732430458068848,
0.7171670198440552,
0.4186745882034302,
-0.10392165184020996,
-0.6612777709960938,
0.009820894338190556,
-0.5108377933502197,
-0.18769808113574982,... |
In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Example Input: Problem: last year sandy saved 6 % of her annual salary . this year , she made 10 % more money than last year , and s... | d
| 3 | NIv2 | task1419_mathqa_gain | fs_opt | [
0.3172568082809448,
0.5212112069129944,
-0.41370612382888794,
0.45394301414489746,
0.12396462261676788,
-0.7654845714569092,
0.5479176044464111,
1.2719979286193848,
-0.1413748860359192,
0.47234708070755005,
-0.4753530025482178,
-0.02161300554871559,
-1.076111078262329,
-0.4407392144203186,... |
Given the task definition and input, reply with output. 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 does not connect with the rest of the story, indicating your choice as 'a' or '... | b | 5 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.10873037576675415,
0.8336465358734131,
0.3784288167953491,
0.06734421104192734,
-0.1774272620677948,
0.16416732966899872,
0.4032077193260193,
0.5098813772201538,
0.10464712977409363,
0.6535450220108032,
-0.4230300188064575,
-0.278013676404953,
-0.13082030415534973,
-0.3026440739631653,
... |
Given the task definition, example input & output, solve the new input case.
You are given a geometric mathematical question. Questions in this task often involve shapes and Geometric Relationships. You are also given 4 or 5 answer options (associated with "A", "B", "C", "D", "E"). Do not generate anything else apart f... | A | 1 | NIv2 | task119_semeval_2019_task10_geometric_mathematical_answer_generation | fs_opt | [
0.2548876404762268,
0.053729407489299774,
-0.6590466499328613,
-0.44130849838256836,
0.7354872226715088,
-0.034257449209690094,
1.138005256652832,
0.8878490328788757,
-0.061306100338697433,
-0.4318920373916626,
-0.5876803398132324,
0.7983224987983704,
-0.3743201494216919,
0.244919836521148... |
Detailed Instructions: 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 provid... | True | 9 | NIv2 | task349_squad2.0_answerable_unanswerable_question_classification | zs_opt | [
0.7675889134407043,
-0.2366352677345276,
-0.2772458791732788,
-0.19056937098503113,
0.03790821135044098,
-0.02184218354523182,
0.27403828501701355,
0.6673240661621094,
0.48715484142303467,
-0.055348318070173264,
-0.39860963821411133,
0.6927395462989807,
-0.6166656613349915,
0.1037293374538... |
In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: personal or non-personal depending on the topic... | non-personal | 3 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | fs_opt | [
-1.1462790966033936,
-0.4765767455101013,
-0.21376633644104004,
-0.16146421432495117,
-0.3321628272533417,
-0.31380143761634827,
0.9679577946662903,
0.6235628128051758,
0.4039580821990967,
0.1331372857093811,
-1.197427749633789,
-0.05837571248412132,
0.06591387093067169,
-0.165107518434524... |
Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.
Input: but it was felt as a very grievous injury, and her good manners were severely taxed to conceal her vexation and anger till she reached home.
Output: | اما خب، دوشیزه برترام این را نوعی بیاحترامی تلقی کرد و رنجیده شد خیلی خودش را خورد تا خشم و ناراحتیاش را بروز ندهد، تا بالاخره به خانه رسید. | 3 | NIv2 | task661_mizan_en_fa_translation | zs_opt | [
-0.3688209652900696,
0.8012738823890686,
-0.2965673804283142,
0.06851959228515625,
0.09615115076303482,
-0.4531017541885376,
0.9321826100349426,
0.5562285780906677,
0.18156778812408447,
0.4119385778903961,
-0.3567371368408203,
0.7923098802566528,
-0.7188657522201538,
0.2003052830696106,
... |
Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
Input: ['K', 'J', 'd', 'u', 'k', '2021', 'v', 'r', '8573', '3337'... | 13 | 2 | NIv2 | task504_count_all_alphabetical_elements_in_list | zs_opt | [
-0.26295289397239685,
0.5597303509712219,
-0.3046787977218628,
-0.17786568403244019,
0.016368694603443146,
0.15687373280525208,
0.3936064839363098,
0.08153548091650009,
-0.3788062334060669,
0.7991166114807129,
-0.5639342665672302,
0.14933128654956818,
0.3876773416996002,
0.0782851204276084... |
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 ("[... | [939, 131, -222] | 8 | NIv2 | task372_synthetic_palindrome_numbers | zs_opt | [
-0.687587559223175,
0.17593978345394135,
-0.32375210523605347,
-0.2890264689922333,
-0.23597389459609985,
0.530863344669342,
0.6662387847900391,
0.1836088001728058,
-0.7189534902572632,
0.048513926565647125,
-0.5241323113441467,
-0.09512776136398315,
-0.3633307218551636,
0.0174318701028823... |
Teacher: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 characters and proper nouns and context of the commentary done.
Teacher: Now, understand the problem? Solve this i... | O agente ativo teria, então, de sobreviver à moagem e outras transformações, e depois ao processo de cozinhar, e teria de ser ativo pela boca, algo que na maioria das vezes os medicamentos proteicos não são, uma vez que são digeridos no estômago. | 6 | NIv2 | task1375_newscomm_translation | zs_opt | [
-0.08197273313999176,
0.5342303514480591,
-0.03514428436756134,
-0.5966069102287292,
-0.5350195169448853,
-0.2562885284423828,
0.09589947015047073,
0.7334122657775879,
0.6035864353179932,
-0.20540553331375122,
-0.5244752168655396,
-0.14401453733444214,
-0.5504894852638245,
-0.1303993165493... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Related pages | Relaterade sidor | 0 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.060998328030109406,
0.6415510177612305,
-0.05609777197241783,
-1.0967851877212524,
-0.12122651189565659,
-0.44794410467147827,
0.6766858696937561,
0.13902118802070618,
0.35628974437713623,
0.3004726469516754,
-0.5092155337333679,
-0.026675034314393997,
-0.34383106231689453,
0.0941422134... |
In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Let me give you an example: The debate is closed.
The answer to this examp... | Beträffande det portugisiska ordförandeskapets initiativ vill jag framföra att vi stöder andemeningen och det politiska syftet bakom det. | 8 | NIv2 | task313_europarl_en_sv_translation | fs_opt | [
0.06133567914366722,
0.8596421480178833,
0.7063924074172974,
-0.8057771921157837,
-0.11237792670726776,
-0.8544337749481201,
1.277644157409668,
0.03669197857379913,
0.7931824922561646,
-0.24330615997314453,
0.13869577646255493,
0.9588145613670349,
-0.7040061950683594,
-0.09367214143276215,... |
Definition: You need to answer a given question containing a blank (_). Your answer must be one of the two objects mentioned in the question, for example "trophy" and "suitcase". Your answer must not contain a word that is not present in the question. Please don't use articles (e.g., the, a) before the answer.
Input: T... | bathroom floor | 2 | NIv2 | task033_winogrande_answer_generation | zs_opt | [
-0.17764435708522797,
0.5208786725997925,
-0.067265585064888,
-0.3907569944858551,
0.08329134434461594,
-0.4356970489025116,
0.32812896370887756,
0.41814810037612915,
0.15025439858436584,
0.036557555198669434,
0.04764874652028084,
0.17083202302455902,
-0.21184605360031128,
-0.2040409147739... |
Part 1. Definition
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to choose the correct answer to the question based on the passage. Answer of the question cannot be found directly from the passage, it is indirectly indicated in the passage. Do not ... | at the end of the game | 7 | NIv2 | task165_mcscript_question_answering_commonsense | fs_opt | [
1.198261022567749,
0.3141282796859741,
-0.5616827011108398,
0.5933868885040283,
-0.03555928170681,
-0.28688186407089233,
0.9918124079704285,
0.821488618850708,
0.2598092555999756,
-0.1928393542766571,
-0.7509475946426392,
-0.3206116855144501,
-0.20137666165828705,
-0.026720911264419556,
... |
Teacher:In this task, you're given a dialogue between a customer and a flight booking agent with a gap in the conversation. Your job is to find the answer of the previous dialogue. Avoid using irrelevant extra information while creating the answer. The answer should be relevant to the question before the blank. If you ... | agent: Sure, I will help you. Please wait a while. | 6 | NIv2 | task574_air_dialogue_sentence_generation | zs_opt | [
-0.6995315551757812,
0.5037466287612915,
0.05805443972349167,
-0.9141186475753784,
0.2913096249103546,
-0.2128736674785614,
1.3145722150802612,
0.11936405301094055,
-0.005242232698947191,
0.0793314129114151,
0.23951832950115204,
-0.4748537242412567,
-0.874584972858429,
0.10137546062469482,... |
Detailed Instructions: You are given a background paragraph that describes one or more causal or physical relationships, such as a relationship in economics, scientific law, or nature. You need to come up with a fictional story that makes use of the concepts or the relationship described in the provided paragraph. Mak... | Jill lives out in a peaceful quiet area with hardly any other people around. Next to her home is a calm peaceful river. The river doesn't have an official name that she is aware of, but her family has always called it River Treetop due to the large tree next to it. Also next to her house, there is a roaring river that ... | 4 | NIv2 | task059_ropes_story_generation | fs_opt | [
0.1273886114358902,
0.3562203049659729,
-0.17414090037345886,
-0.215266615152359,
-0.043115414679050446,
-1.0049710273742676,
0.325075626373291,
1.3748292922973633,
-0.8033909201622009,
-0.09271501749753952,
-0.5395485162734985,
0.06545841693878174,
-0.7970033884048462,
-0.1040890216827392... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
Q: خیلی سنگین و ناراحت کننده بود.
A: | Erano molto pesanti, abbastanza scomodi. | 4 | NIv2 | task1271_ted_translation_fa_it | zs_opt | [
-0.34663036465644836,
1.0828657150268555,
0.1660657823085785,
0.01657292991876602,
-0.497048020362854,
-0.7473331093788147,
0.9519816040992737,
0.803342342376709,
0.28754550218582153,
-0.35518819093704224,
-0.6362242698669434,
0.7629048228263855,
0.261022686958313,
0.7390174865722656,
0.... |
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... | 51234 | 4 | NIv2 | task300_storycloze_order_generation | zs_opt | [
-0.05052511394023895,
0.5633246302604675,
0.2785773277282715,
-0.7553109526634216,
-0.4499772787094116,
-0.13142116367816925,
0.017589226365089417,
0.8343333005905151,
-0.1261643022298813,
0.383253812789917,
-0.9758250713348389,
-0.7736184597015381,
-0.7802320718765259,
-0.0316583700478076... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Article: british bank barclays said thursday that it ... | no | 1 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.8722048997879028,
0.3777511715888977,
-0.08378864824771881,
0.6972565650939941,
0.12318558990955353,
-0.19716119766235352,
0.42808523774147034,
0.4317772090435028,
0.0122322216629982,
0.18060235679149628,
-0.48900559544563293,
0.4404147267341614,
-0.08721979707479477,
0.3989344239234924... |
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... | Solution: No | 5 | NIv2 | task1206_atomic_classification_isbefore | fs_opt | [
0.47504857182502747,
0.27209407091140747,
0.09522896260023117,
-0.16547784209251404,
-0.5140805244445801,
-0.8549138903617859,
1.0573506355285645,
0.5154464840888977,
-0.47156912088394165,
-0.41796448826789856,
-0.5301101207733154,
-0.51475989818573,
-0.7711817026138306,
0.0845483317971229... |
Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be inst... | None | 5 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.6790090799331665,
0.385043203830719,
-0.16653361916542053,
-0.06107970327138901,
-0.592254102230072,
-0.28907838463783264,
1.4946532249450684,
-0.00640405248850584,
0.08289306610822678,
-0.5823119878768921,
-0.6933634281158447,
0.5901368856430054,
0.03584766760468483,
0.1443128436803817... |
Given the task definition and input, reply with output. 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.
Sentence: 'a woman playing a game with an interactive gaming unit'. Count the number of vowels in the given ... | 19 | 5 | NIv2 | task157_count_vowels_and_consonants | zs_opt | [
0.04626522213220596,
0.8700879216194153,
-1.0873751640319824,
-0.25648361444473267,
-0.2351032793521881,
-0.6541604995727539,
0.07051648944616318,
0.15244147181510925,
0.15052878856658936,
-0.639183521270752,
-0.3650972843170166,
0.06370022892951965,
0.20219527184963226,
-0.698959946632385... |
Teacher:Given a sentence in the Japanese, provide an equivalent translation in Bahasa Indonesia that retains the same meaning through the translation. In translation, keep numbers as it is.
Teacher: Now, understand the problem? Solve this instance: 「しかし、多くの販売業者が標準的なよいｅマーケティングを実行しているので必要な条件を満たしている」とスチュワートは言った。
Student: | "Namun, banyak pemasar yang telah memenuhi persyaratan-persyaratan ini karena mereka mempraktekkan e-marketing dengan standard yang bagus, " kata Stewart. | 6 | NIv2 | task1115_alt_ja_id_translation | zs_opt | [
-0.6363739967346191,
-0.2538003623485565,
-0.16345003247261047,
-0.9739097356796265,
0.11542297154664993,
-0.3880535960197449,
0.055288657546043396,
-0.2106185257434845,
-0.23353680968284607,
-0.10049954056739807,
-0.5132966041564941,
0.4094237685203552,
-0.8534607887268066,
-0.23981374502... |
Q: In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.
Fact1: From t... | The film is set up amongst the landscape of two potentially related murders: that of an engaged woman in Sunshine, and that of seven passengers on a train in Melbournes inner west. From there, the film deals primarily with the experiences of Lavinia Smart, a young woman who boarded the train shortly after the murders, ... | 7 | NIv2 | task103_facts2story_long_text_generation | zs_opt | [
0.5701428651809692,
0.40864092111587524,
-0.2926897704601288,
-0.3939688503742218,
-0.3577854633331299,
-0.9110977649688721,
-0.336464524269104,
0.4943336844444275,
0.3502223789691925,
-0.20243315398693085,
-0.7587339878082275,
-0.04496629163622856,
-0.39374840259552,
0.3162083029747009,
... |
Q: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
A jawbone found in Aruba is not that of missing American Natalee Holloway,... | अरूबा में पाया गया जबड़ा लापता अमेरिकी नताली हॉलोवे का नहीं है, जिसने गायब होने के समय हाल ही में हाई स्कूल-ग्रेजुएट पूरा किया था। | 7 | NIv2 | task432_alt_en_hi_translation | zs_opt | [
0.21283984184265137,
-0.21996164321899414,
0.04389674589037895,
0.7690374851226807,
-0.35921961069107056,
0.35655730962753296,
0.7213163375854492,
0.26779183745384216,
-0.8146945238113403,
-0.5176606178283691,
0.3101580739021301,
-0.019706103950738907,
-0.7631751298904419,
0.08430144190788... |
Detailed Instructions: You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Q: E a outra cousa é o alto índice de hackers coma estes con características que concordan coa síndrome de Asperger.
A: | Inną rzeczą jest częste występowanie takich hakerów, którzy mają cech spójne z zespołem Aspergera. | 9 | NIv2 | task1244_ted_translation_gl_pl | zs_opt | [
-0.633417546749115,
0.16593074798583984,
-0.050500765442848206,
-0.41707319021224976,
-0.44107508659362793,
-0.6249375939369202,
0.16380250453948975,
-0.022788897156715393,
0.09127414971590042,
-0.2110283374786377,
-0.3455055058002472,
0.5149612426757812,
-0.4641770124435425,
0.14106422662... |
Teacher: Given a sentence in Spanish, generate a new Spanish sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probabilit... | Si antes de conocer a una criada dices adiós, entonces después dices adiós. | 2 | NIv2 | task417_mickey_es_sentence_perturbation_generation | fs_opt | [
0.1394433230161667,
0.0800081118941307,
-0.2956492602825165,
-0.19948315620422363,
-0.16900892555713654,
-0.9916346073150635,
-0.20028483867645264,
1.0795574188232422,
-0.08322649449110031,
-0.5749647617340088,
-0.4763217270374298,
0.10429941117763519,
-0.2418329268693924,
-0.3779662549495... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
Let me give you an example: من همچنان معتقدم که حمل و نقل کانون مشکلات جهان است.
The answer to this example can be: E eu continuo a pensar que o transporte é o centro deste universo.
Here is why: The Farsi sentence is corr... | (Risos) Novembro de 2005: as ruas estão a arder. | 8 | NIv2 | task1273_ted_translation_fa_pt | fs_opt | [
-0.03388845920562744,
0.3275695741176605,
0.040802229195833206,
0.23757010698318481,
-0.47699660062789917,
-0.22380632162094116,
0.1297627091407776,
0.5506612062454224,
-0.19030243158340454,
0.29666948318481445,
-1.123363733291626,
0.2794651389122009,
-0.13963377475738525,
0.61390340328216... |
In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.
Example input: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist c... | Ekalaka | 3 | NIv2 | task170_hotpotqa_answer_generation | fs_opt | [
0.710187554359436,
0.48839083313941956,
-0.8294466733932495,
1.071521520614624,
0.4499746263027191,
-0.09820582717657089,
0.7084795832633972,
0.5007584095001221,
-0.036104120314121246,
0.3714579641819,
-0.055077746510505676,
0.6068783402442932,
-0.9186399579048157,
-0.13763700425624847,
... |
You will be given a summary of a story. You need to create a question that can be answered from the story. You can create a question about characters, events, facts and beliefs, etc. Your question should be specific, try not to use pronouns instead of full names. As the stories are sometimes movie plots, they will cont... | What did the fisherman reach at the end of the grotto? | 8 | NIv2 | task405_narrativeqa_question_generation | fs_opt | [
0.9747357368469238,
0.06695755571126938,
-0.09353446960449219,
0.08113740384578705,
0.6529446840286255,
-0.40666961669921875,
0.8762967586517334,
0.5766437649726868,
-0.8073011636734009,
-0.008868491277098656,
-0.44552716612815857,
0.09434342384338379,
-0.5339446067810059,
-0.5731663107872... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.
(תשואות) זו טבלה עמוסה מאוד אבל מה שהיא מעבירה זה שכאשר מדובר באיכות, הכנסנו מערכות אבטחת איכות טובות.
Output: | (Brawa) To rozbudowane zestawienie, ale to co właściwie przekazuje to fakt, że jeśli chodzi o jakość, zastosowaliśmy bardzo dobre systemy zapewnienia jakości. | 1 | NIv2 | task1112_ted_translation_he_pl | zs_opt | [
-0.6784627437591553,
0.7465323209762573,
0.047120798379182816,
0.40085357427597046,
-0.3907143473625183,
0.2612265348434448,
1.2413396835327148,
-0.09704490005970001,
0.3517758250236511,
-0.1723300814628601,
-0.46120819449424744,
-0.17298182845115662,
-0.3969954252243042,
0.279795885086059... |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[EX Q]: Topic: We should abolish capital punishment<sep>Argument: Capital puni... | True
| 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
0.3616301417350769,
0.7199618220329285,
0.20985004305839539,
-0.1602465659379959,
-0.5520695447921753,
-0.8169112205505371,
0.43443864583969116,
0.7762966156005859,
0.002272268757224083,
0.1441849321126938,
-0.08074953407049179,
0.006925077643245459,
-0.5545796751976013,
0.0304061789065599... |
Q: In this task, you will be presented with a text, a pronoun from the text, and two candidate names. You should determine what the pronoun refers to and classify the answers into A, B, or Neither. A and B here are referring to option A and option B. Position of the pronoun in the text is showed within two "_"s.
Later ... | A | 7 | NIv2 | task329_gap_classification | zs_opt | [
-0.6537826061248779,
0.5028083324432373,
0.1171240508556366,
-0.10640504211187363,
0.12632006406784058,
0.4052581191062927,
1.1757981777191162,
0.5295895934104919,
0.7194090485572815,
0.1694403886795044,
-1.0504865646362305,
0.16042198240756989,
0.12971073389053345,
-0.33650892972946167,
... |
In this task, you are given a text which is the body of a document. Your job is to classify the topic of the document into these categories: 1)Company, 2)Educational Institution, 3)Artist, 4)Athlete, 5)Office Holder, 6)Mean of transportation, 7)Building, 8)Natural place, 9)Village, 10)Animal, 11)Plant, 12)Album, 13)Fil... | 4
| 0 | NIv2 | task629_dbpedia_14_classification | fs_opt | [
0.31028681993484497,
-0.046875517815351486,
-0.1175011545419693,
-0.12851399183273315,
0.588409423828125,
-0.2897496819496155,
-0.12054064869880676,
0.5420193076133728,
-0.3188290596008301,
-0.1522848904132843,
-0.30817320942878723,
0.6437880992889404,
-0.5206008553504944,
-0.5911442637443... |
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