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 |
|---|---|---|---|---|---|---|
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
[Q]: Nas Filipinas em 2001, com o Presidente Estrada - um milhão de pessoas trocaram mensagens de telemóvel sobre a corrupção daquele regime, eventualmente levando à sua queda, aquilo que foi chamado de "" coup de tex... | Jeśli chciałem zniszczyć zło zagrażające islamowi, w nagrodę otrzymam raj.
| 5 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
0.0005187406204640865,
0.4103483259677887,
-0.06345582008361816,
-0.5890114307403564,
0.17361333966255188,
-0.7216299176216125,
0.4926467537879944,
0.5316470861434937,
-0.7401094436645508,
0.2877618670463562,
-0.2502327859401703,
0.44489315152168274,
-0.3018355369567871,
-0.306560754776001... |
Detailed Instructions: In this task, you will be given a passage consisting of set of facts. The task is to create a question of form 'Where is <person_name>?' that is answerable from exactly one of the given facts. Avoid creating questions that are unanswerable from all of the facts.
Problem:Passage: Mary travelled to... | Where is Mary? | 8 | NIv2 | task082_babi_t1_single_supporting_fact_question_generation | zs_opt | [
0.42780473828315735,
0.775995671749115,
-1.2926486730575562,
-0.3210078179836273,
-0.5368595123291016,
-0.621681272983551,
1.2026255130767822,
0.22706767916679382,
-0.1178600937128067,
-0.036264482885599136,
-0.7587853670120239,
0.38075578212738037,
-0.5054572820663452,
0.10026781260967255... |
Q: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
Por esta razón, terminamos con cerebros tan peculiares, que nos gusta la religión, la música y el arte.
A: | This is why we've ended up with such peculiar brains, that we like religion, and music, and art. | 7 | NIv2 | task1226_ted_translation_es_en | zs_opt | [
-0.31306567788124084,
0.9014869928359985,
0.782042384147644,
-0.780064582824707,
-1.0979807376861572,
-0.770697832107544,
-0.522860586643219,
-0.01679043099284172,
0.5030838251113892,
-0.5400302410125732,
0.5387681126594543,
0.46162348985671997,
-0.6954411864280701,
0.14849483966827393,
... |
In this task you will be given a list of numbers. A list is shown by two brackets and comma-separated numbers inside, like: [1,2,3]. You should remove all of the even numbers from the list. If every number in the input list is even an empty list should be returned. Zero should be counted as an even number.
One example:... | [75, 119] | 6 | NIv2 | task205_remove_even_elements | fs_opt | [
-0.2463739812374115,
0.08342570066452026,
-0.5653315782546997,
-0.676983118057251,
0.5138562321662903,
-0.21955089271068573,
1.0156333446502686,
0.3954264521598816,
-0.5338453054428101,
0.10723260790109634,
-0.7633873224258423,
0.20955504477024078,
-0.2674199342727661,
-0.7812693119049072,... |
Given a sentence in the Indonesian(Bahasa variant), provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
Example input: Italia berhasil mengalahkan Portugal 31-5 di grup C dalam Piala Dunia Rugby 2007 di Parc des Princes, Paris, Per... | もし実行されれば、安全保障理事会に9人のメンバーが追加され、53人のメンバーによる人権理事会に代わり、新しい人権委員会が創設されることになり、この計画は国際機関にかつてない最大の変化になる。 | 3 | NIv2 | task1116_alt_id_ja_translation | fs_opt | [
-0.010758851654827595,
0.9718169569969177,
-0.6324524879455566,
0.48216700553894043,
-0.24031175673007965,
-0.31967633962631226,
0.1793501377105713,
0.022163957357406616,
0.4107103943824768,
-0.5582692623138428,
-0.7296686172485352,
0.9874475002288818,
-0.5304442644119263,
0.40372499823570... |
Given a sentence in the Japanese, provide an equivalent translation in Thai that retains the same meaning through the translation. In translation, keep numbers as it is.
[Q]: トルコのアンタルヤの自由貿易地域で、FMCノーバメディカルの８０名の女性労働者が現在まで２００６年９月２６日から約一年間ストライキを続けている。
[A]: ในเขตการค้าเสรีแห่งหนึ่งที่ Antalya ตุรกี คนงานเพศหญิง 80 คนของ FM... | สำนักงานอัยการเมือง Los Angeles กล่าวเมื่อวานว่า ซูเปอร์สตาร์ดนตรีป็อป Britney Spears กำลังเจอข้อหาชนแล้วหนี และขับรถยนต์โดยไม่มีใบขับขี่ที่ถูกต้อง
| 5 | NIv2 | task1127_alt_ja_th_translation | fs_opt | [
-0.49065589904785156,
-0.20783904194831848,
-0.11687503010034561,
-0.08239438384771347,
0.2992914319038391,
-0.3047134578227997,
-0.012447751127183437,
-0.1870376467704773,
0.06708166748285294,
0.07423417270183563,
-0.3479400873184204,
0.6742095947265625,
-0.34877684712409973,
0.1038318350... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Input: Consider Input: beyond the sea
Output: In the 2004 film biopic Beyond the Sea, Kevin Spacey plays which 1960s singer?
Input: Consider Input: coney island
Output: Coney Island is situated in ... | Output: Daniel Casey played the role of Detective Sergeant Troy in which TV series?
| 2 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
-0.029141023755073547,
0.3809984028339386,
-0.4490510821342468,
-0.3333111107349396,
0.7541084289550781,
-0.14851658046245575,
0.12960173189640045,
-0.4781500995159149,
0.7161092162132263,
-0.04204710200428963,
0.9209851026535034,
-0.09295161813497543,
-1.059929370880127,
-0.50006526708602... |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
-0.8291507959365845,
0.3385376036167145,
0.5788028240203857,
0.31985151767730713,
-0.3838850259780884,
-1.1213016510009766,
0.18886065483093262,
0.7440863847732544,
0.474740594625473,
0.15492945909500122,
-0.06247127056121826,
-0.2061379849910736,
-0.8947552442550659,
-0.7696536779403687,
... |
Definition: You are supposed to identify the category of a high-school level math question. There are five possible categories (1) algebra (2) arithmetic (3) measurement (4) numbers, and (5) probability. Use the following guidelines: (1) 'algebra' questions will typically contain letter variables and will ask you to fi... | arithmetic | 2 | NIv2 | task834_mathdataset_classification | zs_opt | [
-0.03783629089593887,
0.292998343706131,
0.10239388048648834,
0.0169236958026886,
-0.13086560368537903,
-0.05005813017487526,
0.4852069020271301,
0.12611505389213562,
0.59234619140625,
-0.5170246362686157,
-0.8464910984039307,
0.019658932462334633,
-0.5474494695663452,
0.17732787132263184,... |
A text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.
Q: అలాగే విదేశాలకు చెందిన కొనుగోలుదారుల కు మరియు భారతదేశానికి చెందిన సరఫరాదారు సంస్థ లకు భారతదేశం నుండి సామగ్రి, వస్తువులు, ఇంకా సేవల ను ఎగుమత... | இந்த மறு மூலதனம், இந்திய ஜவுளி ஆலைகளுக்கு ஆதரவளிப்பது போன்ற புதிய முன்முயற்சிகள், சலுகை நிதித்திட்டங்களில் மாறுதல் செய்தல், இந்தியாவின் வெளியறவுக் கொள்கை மற்றும் செயல்பாட்டு நோக்கங்களைக் கருத்தில் கொண்டு எதிர்காலத்தில் புதிய கடனுதவி வழங்குதல் போன்ற எதிர்பார்க்கப்படும் முயற்சிகளுக்கு ஊக்கமளிக்கும். | 4 | NIv2 | task1076_pib_translation_telugu_tamil | zs_opt | [
-0.1596500277519226,
0.7408183217048645,
0.3611011207103729,
0.623144268989563,
0.42659449577331543,
-0.809190571308136,
0.002135262358933687,
0.7057950496673584,
-0.5707079172134399,
0.5360492467880249,
-0.8998313546180725,
-0.1961670070886612,
-0.4436180889606476,
0.2318848967552185,
-... |
Part 1. 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.... | Yes | 7 | NIv2 | task1202_atomic_classification_xneed | fs_opt | [
0.8119960427284241,
0.013256330043077469,
-0.05576375126838684,
0.2512648105621338,
-0.11748164892196655,
-0.4999673366546631,
0.9265663623809814,
0.5692439079284668,
-0.42772480845451355,
-0.2838689386844635,
-0.48049378395080566,
-0.07658131420612335,
-0.7951550483703613,
-0.052295874804... |
Given the task definition and input, reply with output. 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.
[-68, -21, 36, -63,... | [-68, 47] | 5 | NIv2 | task370_synthetic_remove_divisible_by_3 | zs_opt | [
-0.015618836507201195,
0.38975492119789124,
-0.22835756838321686,
-0.4958711862564087,
0.2372843325138092,
0.2909219264984131,
1.203862190246582,
-0.09392097592353821,
-0.46999412775039673,
-0.043848518282175064,
-0.556037187576294,
0.04101848602294922,
-0.17007915675640106,
-0.42744871973... |
"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 thought or context ("and..."). Given a prompt and two responses, identify which response is the type of "yes, and". Indicate yo... | Response 2 | 0 | NIv2 | task362_spolin_yesand_prompt_response_sub_classification | zs_opt | [
0.3043426275253296,
0.8739833831787109,
0.5449585914611816,
-0.11935283243656158,
0.36020195484161377,
-0.803849458694458,
0.49934789538383484,
0.4600786566734314,
0.2137662172317505,
-0.49433082342147827,
-0.45126235485076904,
0.06489130854606628,
-1.154453158378601,
0.28965508937835693,
... |
Given the task definition and input, reply with output. In this task, you are given a hateful post in Spanish from online platforms. You are expected to classify the target being harassed in the post as individual or generic, i.e., single person or a group of people. Note that the URLs in the text have been replaced wi... | Generic | 5 | NIv2 | task338_hateeval_classification_individual_es | zs_opt | [
-1.4953203201293945,
0.7183461785316467,
0.5445151329040527,
-0.39163488149642944,
-0.22684656083583832,
-0.12378543615341187,
0.867759108543396,
0.6935532093048096,
-0.06263325363397598,
-0.16804087162017822,
-0.7982677221298218,
0.6403814554214478,
-0.32848185300827026,
-0.23916068673133... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [0, 36000, -30, 3696, -832, -44, 30240, 311904, 0, -164160] | 0 | NIv2 | task851_synthetic_multiply_evens | zs_opt | [
-0.32917317748069763,
0.5818312168121338,
-0.5769219398498535,
0.0409686341881752,
0.0472518652677536,
0.0012598587200045586,
1.1057543754577637,
0.3721296787261963,
-0.09506137669086456,
-0.055746786296367645,
-1.03635573387146,
0.2661042809486389,
-0.6959104537963867,
-0.5220320820808411... |
Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Si analizan la palabra "" salvación "" en la Biblia, la acepción cristiana que nos es familiar: el salvar almas, que las personas vayan al cielo... esa acepción es tard... | اگر در انجیل به واژه ی "" رستگاری "" نگاه کنید - کاربرد مسیحی اش که ما به آن عادت داریم - نجات روح ها ، که مردم به بهشت می روند - این در واقع بعدتر ایجاد شد. | 5 | NIv2 | task1103_ted_translation_es_fa | zs_opt | [
0.023241478949785233,
0.8925686478614807,
-0.03237711638212204,
-0.2777431607246399,
-0.21794000267982483,
-0.2570003271102905,
0.5566004514694214,
0.3730231523513794,
0.3719271421432495,
0.30856791138648987,
-0.4965003430843353,
0.11454276740550995,
-0.5343602299690247,
0.1666607260704040... |
TASK DEFINITION: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.
PROBLEM: "" Preto "" en astronomía é moi relativo.
SOLUTION: "" نزدیک "" از نظر اخترشناسی ، همه چیز نسبی است
PROBLEM: O mesmo concepto, pero aplicado á dinámica da comunicación nunha esfera moi diferente.... | جدای این تصویر اطلاعات دیگری نیز در مورد او وجود دارد.
| 8 | NIv2 | task1245_ted_translation_gl_fa | fs_opt | [
-1.0319311618804932,
0.6786102056503296,
0.014012469910085201,
-1.011056900024414,
-0.6178371906280518,
-0.28612685203552246,
1.3417956829071045,
0.04022212699055672,
0.0865599736571312,
-0.08672035485506058,
-1.3502904176712036,
0.13761797547340393,
-0.4253268539905548,
0.4435737431049347... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.
منظور او این بود که شما می توانید آسمان را ببینید | حيث أنه يمكنك رؤية السماء | 0 | NIv2 | task1268_ted_translation_fa_ar | zs_opt | [
-0.647790253162384,
1.035051941871643,
0.022169005125761032,
-0.49151527881622314,
0.06236346438527107,
0.3338278830051422,
0.7739443778991699,
0.37660324573516846,
0.9513929486274719,
0.3341428339481354,
-0.7909528017044067,
0.07991266995668411,
-0.1278989166021347,
0.7574262619018555,
... |
This task is about translating a given Yoruba language sentence to English.
One example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.
Solution is here: Today CC licenses are prevalent across the web and are used by creators arou... | Of course I do | 6 | NIv2 | task1686_menyo20k_translation | fs_opt | [
-0.07088474184274673,
0.957027792930603,
-0.31899285316467285,
0.11173176020383835,
0.07915528118610382,
-0.3379087448120117,
-0.35157281160354614,
0.4954346716403961,
0.08900085091590881,
-0.8958463668823242,
0.016079353168606758,
-0.09183762967586517,
-0.8177535533905029,
0.3155329823493... |
Given the task definition, example input & output, solve the new input case.
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.... | [29] | 1 | NIv2 | task370_synthetic_remove_divisible_by_3 | fs_opt | [
0.17298650741577148,
0.13251642882823944,
-0.3451879322528839,
-0.3661636412143707,
0.3977435231208801,
0.1385260671377182,
0.45212674140930176,
0.5133381485939026,
-0.13849453628063202,
0.23577260971069336,
-0.4096057713031769,
-0.0730941891670227,
0.2649350166320801,
-0.32790154218673706... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Let me give you an example: Passage: The group... | Answer: Lehigh County | 8 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
-0.0043147848919034,
0.43590155243873596,
-0.7329675555229187,
-0.1412295550107956,
0.6584203243255615,
-0.2051348090171814,
0.6618177890777588,
0.9307637214660645,
0.5486761927604675,
0.7032612562179565,
0.12657180428504944,
0.18489544093608856,
-0.7022215723991394,
0.1040097326040268,
... |
Detailed Instructions: 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... | non-personal | 8 | NIv2 | task1490_bengali_personal_hate_speech_binary_classification | zs_opt | [
-0.5997034311294556,
0.09217676520347595,
0.06412318348884583,
-0.2811715602874756,
-0.4943031966686249,
-0.2590797543525696,
0.7531704902648926,
0.4249076843261719,
-0.31118810176849365,
0.018305744975805283,
-0.8144140243530273,
-0.10810001194477081,
-0.08408038318157196,
-0.305610477924... |
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.
Q: អ្នកសង្គ្រោះជីវិតបានមកដល់កន្លែងកើតហេតុមុនគេ និងបានព្យាយាមជួយសង្គ្រោះរ៉ាយអិន ប៉ុន្តែមិនបានសម្រេច។
A: | 救急隊が最初に現場に駆けつけ救助を試みたが手遅れだった。 | 4 | NIv2 | task1122_alt_khm_ja_translation | zs_opt | [
0.4449169635772705,
0.8673003315925598,
0.09038206934928894,
-0.6957495212554932,
0.01388491876423359,
-0.7001340389251709,
0.7184447050094604,
0.5111404061317444,
-0.5309655070304871,
-0.006282088812440634,
-0.2104429006576538,
0.07355580478906631,
-1.1812074184417725,
0.4042273759841919,... |
Detailed Instructions: Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
See one example below:
Problem: I was very surprised at the high quality of the stitching, the sturdiness of the handles and the padding for my laptop. The price is amazingly low and the l... | I like this so much I bought one for my wife's ... | 4 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
0.40433576703071594,
-0.3412418067455292,
-0.5178284645080566,
0.1371881514787674,
0.8458932638168335,
0.04946298897266388,
0.9509619474411011,
0.8507763147354126,
-0.23867817223072052,
0.6973662376403809,
-0.4160832166671753,
0.47352689504623413,
-0.6373176574707031,
0.0002259153989143669... |
Part 1. Definition
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
Part 2. Example
ਪੱਛਮ ਤੋਂ ਪੂਰਬ ਤੱਕ ਊਰਜਾ ਖਪਤ ਵਿੱਚ ਇੱਕ ਤਬਦੀਲੀ ਆਈ ਹੈ।
Answer: പടിഞ്ഞാറ് നിന്ന് കിഴക്കോട്ട് energy ർജ്ജ ഉപഭോഗത്തിൽ മാറ്... | വിശദമായ വിജ്ഞാപനം കേന്ദ്ര റോഡ് ഗതാഗത, ഹൈവേയ് മന്ത്രാലയത്തിന്റെ വെബ്സൈറ്റായ www. | 7 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
0.03560055047273636,
0.512482225894928,
0.20152828097343445,
-0.7537217736244202,
-0.40081799030303955,
-0.7476644515991211,
0.5140622854232788,
0.6400843858718872,
-0.2507261037826538,
-0.2205962836742401,
-0.7005684971809387,
-0.4254499673843384,
-0.4284231662750244,
-0.20975227653980255... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a 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 se... | non-political | 0 | NIv2 | task1491_bengali_political_hate_speech_binary_classification | fs_opt | [
-0.21135148406028748,
-0.28103533387184143,
0.04251164197921753,
0.6271206736564636,
-0.3751859664916992,
0.07992740720510483,
0.34900546073913574,
0.6609584093093872,
-0.16761177778244019,
0.1958056092262268,
-0.5820479989051819,
-0.2582159638404846,
-0.24059145152568817,
-0.0112287923693... |
You will be given a definition of a task first, then some input of the task.
You're given a fill-in-the-blank question where the answer is PersonX. You need to minimally change the given question so that the answer flips to PersonY. This task typically involves replacing one word i.e., the 'trigger word' with its anton... | PersonX is teaching PersonY how to make money on cafepress, because _ wants to start making money. | 1 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.9908233880996704,
0.18637315928936005,
-0.4443512260913849,
-0.20176196098327637,
0.31521791219711304,
-0.72088623046875,
1.340569257736206,
0.736255407333374,
-0.5179344415664673,
-0.5839681029319763,
-0.07650444656610489,
-0.2676119804382324,
-0.3227232098579407,
0.3873841166496277,
... |
Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of ... | Ако искате да рисувате на екрана, тогава трябва да серийни бои.
| 5 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.057938940823078156,
0.6589289903640747,
-0.20489200949668884,
-0.15755566954612732,
0.021249020472168922,
-0.48225027322769165,
0.650779664516449,
0.8645416498184204,
0.5817528367042542,
-0.49773961305618286,
-0.6122971773147583,
0.8391463756561279,
-0.7101917266845703,
0.215288013219833... |
Q: In this task, you will be presented with a question having multiple possible answers in Russian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Question: Археолог видел артефакты, которые он давно потерял, читая учебник, о чем это говорит... | E | 7 | NIv2 | task1139_xcsr_ru_commonsense_mc_classification | zs_opt | [
0.012239962816238403,
0.01602255180478096,
-0.07103250920772552,
-0.5034562349319458,
-0.392907053232193,
-0.27753037214279175,
0.4914137125015259,
1.3830578327178955,
0.14351511001586914,
-0.5026149749755859,
-0.4095977544784546,
-0.0006841193535365164,
0.05388949066400528,
0.313810914754... |
Given a document, find the main entity about whom the author is writing. Write the full name if mentioned in the text. Note that URLs in the text have been replaced with [Link].
BLOOMINGTON Minn. (AP) â Carson Wentz made the rounds along Radio Row at last year's Super Bowl and promised himself he 'd be back fo... | Carson Wentz Carson | 0 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.23441535234451294,
0.2153588831424713,
-0.5702124834060669,
0.725257933139801,
0.40268856287002563,
-0.6022872924804688,
1.1542237997055054,
0.4069387912750244,
-0.3482271730899811,
-0.0858253687620163,
-0.10357853770256042,
0.1030261293053627,
-0.21112677454948425,
0.38746583461761475,
... |
In this task, you are given commands (in terms of logical operations) and natural interpretation of the given command to select relevant rows from the given table. Your job is to generate a label "yes" if the interpretation is appropriate for the command, otherwise generate label "no".
Here are the definitions of log... | yes
****
| 4 | NIv2 | task211_logic2text_classification | fs_opt | [
0.27570635080337524,
-0.41723525524139404,
-0.18629321455955505,
0.3140857517719269,
0.5247607231140137,
-0.39468061923980713,
0.20402365922927856,
0.6722209453582764,
-0.02992296777665615,
-0.05643771216273308,
-0.30307623744010925,
0.16294804215431213,
0.4648091197013855,
0.3937287628650... |
In this task, you will use your knowledge about language (and common sense) to determine what element the marked number refers to. The numbers are marked with two underlines around them, like: _ number _. There are several possible answers, you'll need to choose the proper one. Carefully read the given text, pay specia... | REFERENCE system | 9 | NIv2 | task304_numeric_fused_head_resolution | fs_opt | [
-0.0707489550113678,
0.28852415084838867,
-0.8106364607810974,
0.7143751382827759,
-0.28991997241973877,
-0.44118934869766235,
1.2559696435928345,
0.8549744486808777,
0.005891244858503342,
0.1233920082449913,
-0.29862073063850403,
-0.07675415277481079,
-0.2274358570575714,
0.23074170947074... |
In this task you will be given some text dialogue and you need to infer the underlying emotion of the text. The possible emotions are happy, sad, angry, or other.
explain it's so hard to explain haha facewithsteamfromnose give it a try | other | 0 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-0.406292200088501,
0.5469632148742676,
1.0335676670074463,
-1.3105964660644531,
-0.10211081057786942,
-0.31512123346328735,
0.9099795818328857,
-0.16337893903255463,
0.6925003528594971,
-0.2193654477596283,
-0.4609817564487457,
-0.7662069201469421,
-0.7993701696395874,
-0.0531269647181034... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | no | 0 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.04891141131520271,
0.5479171276092529,
0.24341079592704773,
0.22275957465171814,
0.30274614691734314,
-1.7654463052749634,
0.8931236863136292,
0.3564036190509796,
0.18701215088367462,
0.2674766182899475,
-0.5429673194885254,
-0.847987174987793,
-1.0145823955535889,
-0.12631669640541077,... |
You will be given a definition of a task first, then some input of the task.
In this task, you need to count the number of words in a sentence that contain the given letter
Sentence: 'many canadian geese stand in a field of grass'. How many words contain the letter 'y' in the sentence.
Output: | 1 | 1 | NIv2 | task161_count_words_containing_letter | zs_opt | [
-0.04684016853570938,
0.3304024934768677,
0.019589003175497055,
-0.6298453211784363,
0.09169720113277435,
-0.15363697707653046,
-0.16910773515701294,
0.6653677225112915,
0.9535359740257263,
-0.34190070629119873,
-0.4777507185935974,
-0.38945144414901733,
-0.06430023908615112,
-0.0970947742... |
In this task, you are given a statement spoken by a politician in natural language and the subject of the discussion for the given statement. Your task is to determine if the given subject of the discussion is correct for the given statement. The subject can be multiple words. Answer with "True" if it's the correct sub... | True
| 1 | NIv2 | task1187_politifact_classification | fs_opt | [
0.06757257133722305,
0.6819897294044495,
-0.5086076259613037,
-0.10813687741756439,
0.14349573850631714,
-0.09413410723209381,
0.8168145418167114,
0.3565594553947449,
0.629057765007019,
0.25972896814346313,
-0.39087775349617004,
0.607496976852417,
0.034260254353284836,
-0.2598082423210144,... |
You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found ... | a big jug of juice
| 1 | NIv2 | task164_mcscript_question_answering_text | fs_opt | [
0.09027566015720367,
0.30585145950317383,
-0.4150635898113251,
-0.04604536294937134,
0.015789322555065155,
-1.020956039428711,
1.2879551649093628,
0.6574119925498962,
0.4097020626068115,
-0.13681036233901978,
-0.02356264553964138,
0.18534159660339355,
-0.41490674018859863,
-0.2103725224733... |
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 statement written in Gujarati. 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 o... | ભારત | 0 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | fs_opt | [
0.5163917541503906,
0.7358131408691406,
0.06933711469173431,
-0.19526273012161255,
-0.31705915927886963,
-0.19410979747772217,
0.5709626078605652,
0.7308506965637207,
-0.5318650603294373,
0.169082909822464,
-0.4007037580013275,
0.33434510231018066,
-0.3558383584022522,
0.16755890846252441,... |
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: 投票者は多く、投票率の結果は2002年の投票率(77%)より高くなると予測されている。
Lao: ຜະລິດຕະພັນໄດ້ເປັນກຳລັງແຮງ ຜົນຂອງຜະລິດຕະພັນ ໄດ້ຖືກຄ... | Yes | 4 | NIv2 | task1126_alt_ja_lo_answer_generation | zs_opt | [
-1.4360833168029785,
0.3879299759864807,
-0.11643540859222412,
0.5438629388809204,
0.006589888129383326,
-1.1200463771820068,
0.23895445466041565,
1.0540053844451904,
-0.7244278788566589,
-0.35827428102493286,
-0.5296461582183838,
0.8682287931442261,
-0.5367138981819153,
0.4282131791114807... |
Given the task definition and input, reply with output. Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
news:Both operating profit and net sales for the 12-month period increa... | true | 5 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.8663909435272217,
0.06655444204807281,
-0.5325188636779785,
1.0488500595092773,
-0.5705763101577759,
-0.05552619695663452,
-0.051963627338409424,
0.6094021797180176,
0.3889544606208801,
-0.07978715002536774,
-0.7949286103248596,
0.14814037084579468,
-0.14821761846542358,
-0.512928843498... |
Teacher: The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
Teacher: Now, understand the problem? If you are still confused, see... | joy | 2 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
-0.5174440145492554,
0.3297722041606903,
0.6647521257400513,
-0.7614811658859253,
0.14721666276454926,
-0.23383255302906036,
0.8897417783737183,
0.6634770035743713,
-0.11343255639076233,
-0.49506625533103943,
-0.6070890426635742,
-0.5704275369644165,
-0.6809698343276978,
-0.456631571054458... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.
See one example below:
Problem: Gracias.
Solution: Grazas.
Explanation: The Spanish sentence is correctly translated into Galician, because the meaning is preserved.
Problem: pero no en una forma en... | Pero non ese sufrimento que queres deter. | 4 | NIv2 | task1100_ted_translation_es_gl | fs_opt | [
-0.8469095826148987,
0.9548494219779968,
0.33328115940093994,
-0.7933145761489868,
-0.17498333752155304,
-1.359938621520996,
0.600659966468811,
0.779533326625824,
-0.37324726581573486,
-0.2832666039466858,
-0.1976076364517212,
0.20372706651687622,
-0.5785945653915405,
0.22859469056129456,
... |
Detailed Instructions: Given two entities as input, classify as "yes" if second entity is the part of the first entity. Otherwise classify them as "no". These are entities of meronym In linguistics, meronymy is a semantic relation between a meronym denoting a part and a holonym denoting a whole. In simpler terms, a mer... | no | 8 | NIv2 | task472_haspart_classification | zs_opt | [
-0.7141256332397461,
0.5104352235794067,
1.177781581878662,
-0.1299528330564499,
-0.2546524405479431,
-0.4172320067882538,
0.09809944778680801,
0.41324442625045776,
0.613020122051239,
-0.6910429000854492,
-0.40612179040908813,
-0.27092263102531433,
-0.3690209984779358,
-0.07645202428102493... |
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$': D... | CD | 0 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
0.03977346047759056,
0.18399672210216522,
-0.016848787665367126,
0.4247596561908722,
-0.13603739440441132,
-0.5672977566719055,
0.641467809677124,
0.969003438949585,
-0.6301056742668152,
-0.17423102259635925,
-0.11454273760318756,
0.11692619323730469,
-0.263633131980896,
-0.013144874013960... |
In this task, you will be presented with a question having multiple possible answers in Italian language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Let me give you an example: Question: Lo studio dentistico si è occupato di molti pazienti che h... | A | 8 | NIv2 | task1143_xcsr_it_commonsense_mc_classification | fs_opt | [
-0.18044063448905945,
0.38755449652671814,
-0.24079519510269165,
-0.13343864679336548,
0.5372439026832581,
-0.6555688977241516,
0.3157602548599243,
1.3552405834197998,
-0.1689351499080658,
-0.24255943298339844,
0.23161309957504272,
0.7776989936828613,
0.10351360589265823,
-0.49820336699485... |
Teacher: Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
news:According to Gran , th... | true | 2 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.4748457372188568,
-0.031254980713129044,
0.25863975286483765,
0.13232626020908356,
-0.31857776641845703,
-0.3912242650985718,
-0.19937817752361298,
0.9578094482421875,
0.15930841863155365,
0.02334773726761341,
-0.31762704253196716,
0.0493801012635231,
0.030549395829439163,
-0.4955661594... |
In this task you will be given a list, of lists, of integers. For every inner list contained in the input list, you should multiply every even number in that list. The output should be a list of integers with the same length as the number of lists in the input list. If there are no even numbers in an inner list you sho... | [0, -352, -46, 1280, -44, 53760, 0, -48, 2880, -48, 4, 2100, -112]
| 0 | NIv2 | task851_synthetic_multiply_evens | fs_opt | [
0.03221556916832924,
0.24843978881835938,
-0.9530676603317261,
-0.11595737934112549,
0.06342940032482147,
-0.3552313446998596,
1.1182136535644531,
0.7462400794029236,
-0.5977163314819336,
-0.4129795432090759,
-0.9539283514022827,
0.32969290018081665,
-0.8107399344444275,
-0.039151586592197... |
In this task, you are given books product reviews in English language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
One example: Hopeful for those who seek harmony in the world . I wouldn't recommend this t... | NEG | 6 | NIv2 | task476_cls_english_books_classification | fs_opt | [
0.08041895925998688,
0.35592326521873474,
-0.1299816370010376,
-0.042934857308864594,
0.5519752502441406,
-0.5369024276733398,
0.6510691046714783,
0.34965574741363525,
-0.001356596709229052,
0.5439891815185547,
-1.088012456893921,
0.3305629789829254,
-0.7496868968009949,
-0.282753109931945... |
In this task you are given a statement and an explanation giving you further knowledge about an entity in the statement. You must judge whether the statement is true or false based on the explanation. Label an instance as "True" if the explanation confirms the statement or doesn't disprove it. Label an instance as "Fal... | True
| 3 | NIv2 | task403_creak_commonsense_inference | fs_opt | [
0.3703975975513458,
0.5439450740814209,
0.0320022776722908,
0.11018014699220657,
-0.32656994462013245,
-0.9713577628135681,
1.0090160369873047,
0.019605834037065506,
0.22894364595413208,
-0.17248326539993286,
-0.6123483180999756,
-0.1564955711364746,
-0.3298150300979614,
0.2898096442222595... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
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.
તેમણે કહ્યું કે ભિલાઈ સ્ટીલ પ્લ... | भाइयों और बहनों,जम्मू-कश्मीर के नौजवानों को शिक्षा और रोजगार के अवसर उपलब्ध कराने को लेकर गंभीर प्रयास किए जा रहे हैं। | 0 | NIv2 | task1033_pib_translation_gujarati_hindi | fs_opt | [
-0.41144222021102905,
0.5446770191192627,
-0.17657674849033356,
-0.1841040551662445,
0.007737940642982721,
-0.7874253988265991,
0.7585234045982361,
0.705735981464386,
-0.6216181516647339,
0.2563941776752472,
-0.7541008591651917,
-0.20969396829605103,
-0.03839674964547157,
0.273193866014480... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence an... | [['A.C. Lumezzane', 'GROUND', 'Italy']]
| 5 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.5078829526901245,
-0.23133157193660736,
-0.6751900911331177,
-0.026719018816947937,
0.11206433176994324,
0.22428789734840393,
1.1006278991699219,
0.37922123074531555,
-0.12739871442317963,
-0.5701464414596558,
-0.2118895947933197,
0.3438996970653534,
-0.3387283682823181,
0.43841126561164... |
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... | WP VBZ DT NNP WP$ NNS VBP DT NN WDT VBZ VBN CD NNS IN DT NN IN NNP .
| 5 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.1164858490228653,
0.8093212842941284,
-0.550567090511322,
0.43797144293785095,
-0.18123312294483185,
-0.6001599431037903,
1.1296513080596924,
0.42610418796539307,
0.043181076645851135,
-0.45970600843429565,
-0.5986738204956055,
0.8940460681915283,
-0.8562805652618408,
-0.109735935926437... |
In this task, you will be given a sentence about a person. You should determine how the sentence affects how the person is perceived by most people in society. Your choices are:
Positive: The social perception of [PERSON] in the sentence is considered predominantly positive.
Negative: The social perception of [PERSON]... | No impact
| 7 | NIv2 | task364_regard_social_impact_classification | fs_opt | [
0.13655821979045868,
0.8213030099868774,
0.16749832034111023,
-0.46498674154281616,
0.49122586846351624,
-0.8463660478591919,
0.40016818046569824,
1.1822311878204346,
0.4824649691581726,
0.22477146983146667,
-0.3964853286743164,
-0.4032042324542999,
-0.9761750102043152,
-0.9630921483039856... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
One example is below.
Q: Title: Marcus Buys Khakis. Sentenc... | Kayla got into trouble for lying. | 9 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
-0.2196938693523407,
0.8636692762374878,
0.22836920619010925,
-0.5044392347335815,
-0.026535652577877045,
0.26115208864212036,
0.40254390239715576,
0.660973310470581,
0.3342779576778412,
0.07450888305902481,
-1.0131864547729492,
-0.07954900711774826,
-0.3850822448730469,
0.1847057193517685... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
Jak mówił Jimmy, chcą wejść w dialog.
Output: | كما قال جيمي يريدون حوار و محادثة | 1 | NIv2 | task1259_ted_translation_pl_ar | zs_opt | [
-0.026532482355833054,
0.8993421792984009,
-0.0005181314190849662,
-0.7025271058082581,
-0.2590710520744324,
0.3119029998779297,
0.773410439491272,
-0.8205441832542419,
0.5335800051689148,
0.3956119418144226,
-0.2022838294506073,
0.06253013014793396,
-0.44621768593788147,
0.165897697210311... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
One example is below.
Q: பிரதமர் நரேந்திர மோடி, ரஷ்ய அதிபர் விளாடிமிர் புதின் மற்றும் சீன அதிபர் ஸீ ஜின்பிங்க் ஆகியோருடன் பியூனஸ் அயர்ஸ் நகரில் இன்று (30
A: ପ୍... | ମୋର ସମ୍ପୂର୍ଣ୍ଣ ବିଶ୍ୱାସ ଯେ ଆମେ ଆମ ସମ୍ପର୍କ ଯେତିକି ଯେତିକି ବଢ଼ାଇ ଚାଲିବୁ ଏବଂ ଲୋକମାନଙ୍କ ମଧ୍ୟରେ ସମ୍ପର୍କକୁ ସୁଦୃଢ଼ କରିବା, ସେତିକି ସେତିକି ଆମେ ବିକାଶ ଏବଂ ସମୃଦ୍ଧିର ନୂତନ ଉଚ୍ଚତାକୁ ଛୁଇଁବୁ । | 9 | NIv2 | task1074_pib_translation_tamil_oriya | fs_opt | [
-0.2554740905761719,
0.08974464237689972,
-0.24565885961055756,
-0.19615934789180756,
0.31357917189598083,
-0.40144142508506775,
-0.11386922746896744,
0.46660947799682617,
0.10359223186969757,
0.2759329676628113,
-0.40139371156692505,
-0.025409752503037453,
0.2719060778617859,
0.1571428775... |
You are given a question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types:
(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , a... | Solution: Date. | 5 | NIv2 | task046_miscellaneous_question_typing | fs_opt | [
0.9305243492126465,
-0.07561957836151123,
-0.24326178431510925,
0.2242477387189865,
-0.005681845359504223,
-0.9602705240249634,
0.9293467998504639,
0.8826808929443359,
-0.4478570222854614,
-0.11733396351337433,
-0.5288868546485901,
0.43387478590011597,
-0.5047513246536255,
0.17215642333030... |
In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer
[Q]: 483... | 17639
| 5 | NIv2 | task087_new_operator_addsub_arithmetic | fs_opt | [
-0.16793686151504517,
0.47852823138237,
-1.193949580192566,
0.07151984423398972,
-0.6211229562759399,
-0.2651682496070862,
0.601853609085083,
1.5570969581604004,
0.43451327085494995,
0.09510232508182526,
-0.7907289862632751,
-0.4287949800491333,
0.15123224258422852,
0.05631720647215843,
... |
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".
Tweet: @SeanDFrancis That's what I do. Panama, Europe and soon Aus... | no | 0 | NIv2 | task196_sentiment140_answer_generation | zs_opt | [
-1.2126331329345703,
0.08108861744403839,
0.5023671388626099,
0.18836015462875366,
-0.18211820721626282,
-0.7805564403533936,
0.1675695776939392,
0.4177135229110718,
0.0884891077876091,
1.0461983680725098,
0.16366371512413025,
0.03268568962812424,
0.11818534135818481,
-0.3554258942604065,
... |
Read the given sentence and if it is a general advice then indicate via "yes". Otherwise indicate via "no". advice is basically offering suggestions about the best course of action to someone. advice can come in a variety of forms, for example Direct advice and Indirect advice. (1) Direct advice: Using words (e.g., sug... | no | 0 | NIv2 | task115_help_advice_classification | zs_opt | [
-0.020100118592381477,
0.6963502168655396,
0.20712655782699585,
0.06582716107368469,
0.26457858085632324,
-1.662858247756958,
0.8332394361495972,
0.5013889074325562,
0.1274404674768448,
0.20955044031143188,
-0.4950844645500183,
-0.8689754009246826,
-0.9876464605331421,
-0.08807334303855896... |
Given a story, answer the question about the story. The question is the last sentence in the input. These stories can be difficult due to their length and how each story has at least one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's beli... | Solution: red_envelope | 5 | NIv2 | task153_tomqa_find_location_hard_clean | fs_opt | [
0.2566129267215729,
-0.6111375093460083,
0.16293244063854218,
0.16272148489952087,
-0.3339482247829437,
-0.7055778503417969,
0.2636728584766388,
0.6374551057815552,
-0.2810271084308624,
0.22184206545352936,
0.24551893770694733,
0.4125596284866333,
-0.12316673994064331,
0.014013994485139847... |
Definition: In this task, you are presented with a term, a description of the term, and an expected answer ('yes' or 'no'). You should write a yes-no question about the given term such that the answer is the one provided to you (i.e., If the answer is "No", you should ask a question that its answer would be "No", and i... | Can Viper Room concert hypothetically be held at National Diet building? | 2 | NIv2 | task167_strategyqa_question_generation | zs_opt | [
0.48902466893196106,
-0.15514522790908813,
0.06021777167916298,
0.7234371900558472,
-0.2383209764957428,
0.04637311398983002,
0.8367116451263428,
0.20239193737506866,
0.006056682206690311,
-0.2805946171283722,
-0.21897825598716736,
0.44756603240966797,
-1.151893138885498,
-0.08197196573019... |
In this task, you are given two sentences in Persian separated with <sep>, and you have to determine whether the sentences are paraphrases or not. Classify your answers into "paraphrase" and "not-paraphrase".
بهترین داروی گیاهی برای عفونت ادراری زنان؟ <sep> داروی گیاهی برای عفونت ادراری زنان؟ | paraphrase | 0 | NIv2 | task465_parsinlu_qqp_classification | zs_opt | [
-0.9475947618484497,
0.6382523775100708,
-0.6493440866470337,
0.12520194053649902,
-0.6224197149276733,
-0.34407225251197815,
1.210959792137146,
0.7834727764129639,
0.9097257256507874,
-0.05846727639436722,
-0.7015419006347656,
0.3746050000190735,
-0.32219380140304565,
0.07986801862716675,... |
Definition: Classify the given news commentary into the language in which it is written in. There are 12 languages to classify the sentences into, 1) English, 2) French, 3) Arabic, 4) Czech, 5) German, 6) Spanish, 7) Dutch, 8) Portuguese, 9) Italian, 10) Zhuang, 11) Japanese, 12) Russian.
Input: NEW YORK – It was a dec... | English | 2 | NIv2 | task1370_newscomm_classification | zs_opt | [
0.17566242814064026,
0.16292425990104675,
0.27696752548217773,
0.3446223735809326,
0.7767595052719116,
-0.2660582959651947,
-0.0521196611225605,
0.6538358330726624,
0.17561450600624084,
0.4859817624092102,
-0.32966387271881104,
-0.05644138902425766,
-0.592359185218811,
-0.5153584480285645,... |
In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
Ex Input:
Title: Petty Reasons. Sentence 1: Jeff loaned $2... | Zoey failed her test.
| 1 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.10877262055873871,
-0.1592036485671997,
-0.3771411180496216,
0.09351666271686554,
0.6915453672409058,
-0.06371445208787918,
0.6515036225318909,
0.5224942564964294,
-0.7564898133277893,
0.23894715309143066,
-0.5819103121757507,
0.42588987946510315,
-0.9249579310417175,
-0.2229074388742447... |
Detailed Instructions: In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.
Problem:Question: An exergonic reaction:
Options: <0> It is always spontan... | chemistry | 8 | NIv2 | task1434_head_qa_classification | zs_opt | [
-0.4512091875076294,
0.3366487920284271,
0.22903946042060852,
-0.28495490550994873,
-0.00217553973197937,
-1.1325567960739136,
0.3244597911834717,
0.5563077330589294,
0.454712450504303,
0.05934450030326843,
-0.22284412384033203,
-0.2017172873020172,
0.003898187540471554,
-0.168827071785926... |
Teacher: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் ப... | उन्होंने कहा कि नरेंद्र मोदी के विरोध में, इन लोगों ने भारत का भी विरोध करना शुरू कर दिया है और वे लोग देश को नुकसान पहुंचा रहे हैं। | 2 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
-0.13109804689884186,
-0.13684141635894775,
0.3987996578216553,
-0.19596543908119202,
-0.11399252712726593,
-0.8735509514808655,
-0.057107873260974884,
0.5795249938964844,
-0.4877970814704895,
0.4544597864151001,
-0.5240656137466431,
-0.4904906749725342,
-0.487666517496109,
-0.168796271085... |
Detailed Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.
Problem:והנימה של הדוא "" ל שלו היתה, "זה היה בבירור יום גרוע מאד."
Solution: | メールの口調から暗くつらい1日だった事を察しました | 8 | NIv2 | task1235_ted_translation_he_ja | zs_opt | [
-0.737368643283844,
0.32249218225479126,
0.48813334107398987,
-0.1722336858510971,
-0.8838289976119995,
-0.30057403445243835,
0.7769854068756104,
0.9810149073600769,
0.12547212839126587,
-0.7276413440704346,
-0.8752338290214539,
-0.20807227492332458,
-0.36105334758758545,
0.449744105339050... |
Detailed Instructions: In this task you are given a sentence. You must judge whether subject of the main clause is singular or plural. Label the instances as "Singular" or "Plural" based on your judgment.
Problem:" There are boot prints here.
Solution: | Plural | 8 | NIv2 | task430_senteval_subject_count | zs_opt | [
-0.7901843190193176,
0.4007972478866577,
-0.12942124903202057,
0.16546595096588135,
-0.4566502571105957,
-0.14473962783813477,
1.2957284450531006,
0.08605586737394333,
-0.12314581871032715,
-0.5285621881484985,
0.19878971576690674,
0.47600823640823364,
-0.07863236963748932,
0.0974751561880... |
In this task, you are given a sentence in English, and your task is to translate it into Persian.
Ex Input:
tatty , secondhand book .
Ex Output:
كتاب هاي دسته دوم .
Ex Input:
hello , duckie . oh , fuck .
Ex Output:
سلام دوکي اه لعنتي .
Ex Input:
biceps .
Ex Output:
| عضله دوسر .
| 1 | NIv2 | task658_tep_en_fa_translation | fs_opt | [
-0.9312415719032288,
0.2847752571105957,
-0.2870491147041321,
0.11242443323135376,
-0.21758806705474854,
0.2593643069267273,
0.5816690921783447,
-0.1964130997657776,
0.6652899384498596,
-0.1630190908908844,
-1.0152721405029297,
0.5477619171142578,
-0.27809202671051025,
-0.172067791223526,
... |
Given the task definition and input, reply with output. 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, cert... | wrought | 5 | NIv2 | task388_torque_token_classification | zs_opt | [
0.1427176594734192,
0.35453322529792786,
0.18321102857589722,
-0.2981414794921875,
-0.23515640199184418,
-0.4980863332748413,
0.09539030492305756,
1.0790281295776367,
-0.05660354718565941,
0.09537643194198608,
-0.5581188201904297,
0.24712492525577545,
-0.4550345242023468,
0.149794995784759... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Example Input: Vorrei soffermarmi su una particolare cosa che KIPP sta facendo che Bill non ha menzionato.
Example Output: Quero centrarme nunha cousa en particular das que KIPP está a facer e que Bill non mencionou.
Exa... | Se cadra deberámonos preguntar, é posible que a resistencia á insulina cause o aumento de peso e as enfermidades asociadas coa obesidade, polo menos na maioría das persoas?
| 3 | NIv2 | task1252_ted_translation_it_gl | fs_opt | [
-1.5218013525009155,
1.159299373626709,
-0.700678288936615,
0.09088999032974243,
-0.8855499029159546,
-0.3946223855018616,
0.8269863724708557,
0.8076605796813965,
-0.36620014905929565,
-0.11905427277088165,
-0.6266247034072876,
0.739216685295105,
-0.2895742654800415,
0.1535070687532425,
... |
Detailed Instructions: Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 does... | True | 4 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
0.11093427240848541,
-0.2573505938053131,
-0.8517704010009766,
0.6759693622589111,
-0.3390500545501709,
-0.43090397119522095,
-0.10729094594717026,
0.5724810361862183,
-0.4780731201171875,
-0.10070430487394333,
-0.8588619232177734,
0.04089735448360443,
-0.15425297617912292,
-0.429127246141... |
Given a passage with a context and an answer, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating... | Are blood cadmium levels associated with a decline in lung function in males? | 8 | NIv2 | task845_pubmedqa_question_generation | fs_opt | [
0.44344547390937805,
0.6083396673202515,
-0.21414989233016968,
-0.5338450074195862,
0.757186770439148,
-0.4564782381057739,
0.4153503179550171,
0.4862438440322876,
-0.4169366657733917,
-0.06477464735507965,
-0.3293438255786896,
-0.08669150620698929,
-0.98856520652771,
0.6113555431365967,
... |
A text is given in Oriya. Translate it from the Oriya language to the Tamil language. The translation must not omit or add information to the original sentence.
--------
Question: மத்திய உள்துறை அமைச்சரைச் சந்தித்தார் பஞ்சாப் முதலமைச்சர்
Answer: ଭାରତ ଓ ନର୍ଡିକ ରାଷ୍ଟ୍ରସମୂହର ଶିଖର ସମ୍ମିଳନୀରେ ମିଳିତ ପ୍ରେସ ବିବୃତି
Question:... | ମୋର ସମ୍ପୂର୍ଣ୍ଣ ବିଶ୍ୱାସ ଯେ ଆମେ ଆମ ସମ୍ପର୍କ ଯେତିକି ଯେତିକି ବଢ଼ାଇ ଚାଲିବୁ ଏବଂ ଲୋକମାନଙ୍କ ମଧ୍ୟରେ ସମ୍ପର୍କକୁ ସୁଦୃଢ଼ କରିବା, ସେତିକି ସେତିକି ଆମେ ବିକାଶ ଏବଂ ସମୃଦ୍ଧିର ନୂତନ ଉଚ୍ଚତାକୁ ଛୁଇଁବୁ ।
| 7 | NIv2 | task1074_pib_translation_tamil_oriya | fs_opt | [
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... |
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.
One example is below.
Q: Natalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Prince... | 「人間に対しての小規模の治験の中で、彼らがHIVが拡散するのを止めることができ、血液からウイルスを”速く取り除く”新薬を開発したかもしれない」と、アメリカの科学者が述べている。 | 9 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
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... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given a natural language interpretation of commands (consist of logical operations) to select relevant rows from the given table. Your job is to generate command (in terms of lo... | eq { count { filter_eq { filter_eq { all_rows ; country ; united states } ; score ; 282 } } ; 2 } | 0 | NIv2 | task210_logic2text_structured_text_generation | fs_opt | [
0.4958422780036926,
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-0.5087089538574219,
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0.562217235565... |
Given the task definition, example input & output, solve the new input case.
In this task, you have to identify the named entities (NER) which are the ingredients required given its directions. Named entities are the names of the items without their quantity.
Example: Preheat oven to 375 degrees., Boil syrup, sugar and... | slivered almonds, Cooking spray, sugar, milk, heavy cream, white vinegar, unsalted butter, salt | 1 | NIv2 | task571_recipe_nlg_ner_generation | fs_opt | [
0.09266717731952667,
0.37140709161758423,
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Given a sentence and an entity, the task is to select the authors sentiment towards the enity. Sentiments can be Positive, Neutral and Negative. Select Positive if the sentence expresses a positive view towards the given entity or praises its quality or skills. Select Neutral if the sentence expresses no clear view tow... | Solution: Positive | 5 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
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... |
Given the task definition and input, reply with output. This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answe... | 52–55 °F | 5 | NIv2 | task075_squad1.1_answer_generation | zs_opt | [
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... |
TASK DEFINITION: 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.
PROBLEM: Given Relationship: 'be city of', Sentence: 'It is the only freighter service operating from Coimbatore Airport , which is located in a ... | Member
| 8 | NIv2 | task678_ollie_actual_relationship_answer_generation | fs_opt | [
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... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: The second big difference that INCRA would make is that would it base its sovereign risk assessment on a broader set of indicators.
Output: | A segunda gran diferenza que INCRA faría é que basaría a súa avaliación de risco soberano nunha amplia gama de indicadores. | 2 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
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-0.10435583442449... |
Detailed Instructions: 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.
See one example below:
Problem: This is my go to place to get the best chicken Pad Thai!... | NEGATIVE | 4 | NIv2 | task475_yelp_polarity_classification | fs_opt | [
-0.8961138725280762,
0.3331390619277954,
-0.30066806077957153,
0.4852284789085388,
0.2843414545059204,
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0.609146773815155,
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0.6183837056159973,
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... |
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 '... | a | 5 | NIv2 | task214_rocstories_incorrect_ending_classification | zs_opt | [
-0.6643586158752441,
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-0.260896772146225,
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-0.05398324877023697,
-0.0045485016889... |
In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be "Yes" or "No". Don't generate anything apart from "Yes", "No".
Let me give you an example: Text: Biję się z myślami czy oby 2 gwiaz... | Yes | 8 | NIv2 | task635_allegro_reviews_answer_generation | fs_opt | [
-1.0537841320037842,
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0.449563741683959... |
Teacher:Given scientific fact as input, generate the question from this fact such that it can be answered from the input.
Teacher: Now, understand the problem? Solve this instance: A redox reaction rearranges the subatomic particles known as electrons.
Student: | A redox reaction rearranges what subatomic particles? | 6 | NIv2 | task1552_scitail_question_generation | zs_opt | [
0.5314294099807739,
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-1.0066933631896973,
-0.14500077068805695... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.
そこに船の騒音があったらどうなるでしょう
Now imagine — let's put the ship noise in the picture.
これが今日のイラン系ユダヤ人で ２万５千人が未だイランに住んでおりイスラエルを除いた中東圏で最大のユダヤ人コミュニティを形成しています
They're today's Iranian Jews, still 25,000 of them living in Iran, making t... | What do we know about the women 10 years after the war?
| 0 | NIv2 | task1222_ted_translation_ja_en | fs_opt | [
-0.1539343297481537,
0.37803375720977783,
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0.19266656041145325,
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0.2563454210758209,
0.3355962038040161,
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0.5204125642776489,
0.14327922463417053,
-0.1682657152414322,
0.015557723119854927,
-1.0552170276641846,
-0.34477853775024... |
You are given a sentence in English. Your job is to translate the English sentence into Japanese.
Inside of the dunes we find shade. | 砂漠の中に陰ができます | 0 | NIv2 | task1218_ted_translation_en_ja | zs_opt | [
-0.18049591779708862,
0.021930240094661713,
-0.5389741063117981,
-0.4535712003707886,
-1.0043295621871948,
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0.645365297794342,
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-0.018473723903298378,
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-1.2013815641403198,
-0.1943550854... |
Detailed Instructions: Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: Japanese: イギリスの外務省は本日、スーダン政府とのさらなる協議を計画すると思われる。
Filipino: Ngayong araw na it... | Yes | 9 | NIv2 | task1120_alt_ja_fil_answer_generation | zs_opt | [
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0.5135138034820557,
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0.35142523050... |
Definition: Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate an... | Yes | 2 | NIv2 | task496_semeval_answer_generation | zs_opt | [
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0.18083544075489... |
Given the task definition and input, reply with output. In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story such that it seamlessly connects with the rest of the story.
Title: Caden Got the Football. Sentence 1: Caden is playin... | Caden ran twenty yards before he was tackled. | 5 | NIv2 | task216_rocstories_correct_answer_generation | zs_opt | [
-0.29650047421455383,
1.3343703746795654,
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0.6337369680404663,
0.24490812420845032,
0.6345072984695435,
0.010401641950011253,
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-0.832169771194458,
0.11299651861190796,
-0.689527690410614,
0.1924685835838318... |
Instructions: You are given a statement written in Gujarati. 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 .
Input: Statement: અમરનગર (તા. જેતપુર) <MASK> દેશના પશ્ચિમ ભાગમાં આવેલા ગુજરાત રાજ્યના સૌરાષ્ટ્ર વિ... | ભારત | 3 | NIv2 | task946_wiki_cloze_gu_multiple_choice_question_answering | zs_opt | [
0.34710991382598877,
0.6157798767089844,
0.13853144645690918,
-0.1589508354663849,
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You will be given a definition of a task first, then some input of the task.
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New info... | The man has eyewear. | 1 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | zs_opt | [
0.058519598096609116,
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... |
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.
Example: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。
Example solution: អ៊ីតាលីបានឈ្នះលើព័រទុយហ្គាល់ 31-5 ក្នុងប៉ូលCនៃពីធីប្... | Solution: រូបចម្លាក់ពីរ ត្រូវបានគេរឹបអូសយក ហើយសកម្មជនគាំទ្រលទ្ធិប្រជាធិបតេយ្យចំនួនដប់បីនាក់ ត្រូវបានចាប់ខ្លួនក្នុងទីក្រុងហុងកុង ដែលនេះត្រូវបានអ្នករិះគន់ចាត់ទុកថាជាការ "ញុះញង់ផ្នែកនយោបាន។" | 5 | NIv2 | task1121_alt_ja_khm_translation | fs_opt | [
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... |
Teacher:This task is about translating a given Spanish language sentence to English.
Teacher: Now, understand the problem? Solve this instance: Y una pestaña para el correo importante de verdad.
Student: | And one tab for the mail you really, really want. | 6 | NIv2 | task1692_qed_amara_translation | zs_opt | [
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0.2724398970603943,
0.5844006538391113,
-0.5190454125404358,
-0.1021975353360176... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
[EX Q]: How many episodes are ther... | used for propaganda purposes and included ideological messages in the pose, accoutrements, or costume of the figure
| 6 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.1964423656463623,
-0.08614454418420792,
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-0.3827645182609558,
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0.6582843661308289,
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-0.0555203109... |
Definition: Given a disfluent sentence, modify the sentence to it to its equivalent fluent form, preserving the meaning of the sentence.
Input: Who was the chairman of the U.S. National Academy of Sciences, no sorry the House Committee on Energy and Commerce chairman?
Output: | Who was the chairman of the House Committee on Energy and Commerce? | 2 | NIv2 | task1195_disflqa_disfluent_to_fluent_conversion | zs_opt | [
-0.18896591663360596,
0.4626306891441345,
0.10944782197475433,
-0.5214903354644775,
0.4198785424232483,
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0.5138813257217407,
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0.5179516673088074,
-0.16613775491714478,
-0.4683188796043396,
-0.4974493682384491,
-0.0604703947901725... |
Detailed Instructions: In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
See one example below:
Probl... | True | 4 | NIv2 | task1308_amazonreview_category_classification | fs_opt | [
-0.25992846488952637,
0.3612715005874634,
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0.4519665539264679,
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0.4981670379638672,
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0.22905585169792175,
0.1298486590385437,
-0.19520613551139832,
0.2676241993904114,
... |
Q: In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are fine labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of this corpus is : '$'... | ADD | 7 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.2649700939655304,
0.4140700697898865,
-0.11225625872612,
0.5281645059585571,
-0.06596943736076355,
-0.3068947196006775,
0.5573200583457947,
1.119985580444336,
-0.4392492473125458,
-0.12874361872673035,
-0.22659491002559662,
0.6488381624221802,
-0.570612907409668,
0.042273327708244324,
... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Arabic.
[Q]: Musimy jednak sprecyzować i nazwać to, co widzimy, a wtedy nasz umysł wypełnia tę lukę.
[A]: ولكن علينا أن نوّضح ونجعل لما نراه معنى ، يساعدنا في ذلك عقلنا لملء تلك الفجوة.
[Q]: Gdy zamykamy dłoń, te mięśnie się kurczą... | أو ، عندما تقوم بتصميم قطعة ، تأكد من أنه لا يمكن وضعها بالإتجاه الخاطئ ، أو ، إذا قمت بذلك ، فإنه لا يهم ، لأنها متناظرة.
| 5 | NIv2 | task1259_ted_translation_pl_ar | fs_opt | [
-0.9381665587425232,
0.8274440765380859,
-0.23836030066013336,
-0.8237192630767822,
-0.5871379375457764,
0.3466970920562744,
1.6808058023452759,
-0.5281732082366943,
0.4274131953716278,
0.11378747969865799,
-0.5995873212814331,
0.20893096923828125,
-0.8862676620483398,
0.5793377161026001,
... |
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