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 inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
Input: 4, ['4261', 'E', '8831', 'C', 'L', 'R', '4699', '7181', 'Y', 'q', '9285', 'w', 'r', 'q', '25... | 4261, E, 8831, C, L, R, 4699, 7181, Y, q, 9285, w, r, q, 25, 9725, z, 5521, 1843, 7707, L, C, K, 1987, 8787, u | 3 | NIv2 | task078_all_elements_except_last_i | zs_opt | [
-0.16972249746322632,
0.9499664902687073,
-0.35699331760406494,
-0.41028642654418945,
-0.5558471083641052,
0.18488144874572754,
0.32093310356140137,
-0.3565671741962433,
-0.7034686207771301,
-0.1731947362422943,
-0.6308064460754395,
0.30118510127067566,
0.4449757933616638,
-0.2399065047502... |
Q: 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: Prep... | WRB JJ NNS VBD VBN IN DT NN WDT VBD VBN IN DT NN VBN IN NNP . | 7 | NIv2 | task345_hybridqa_answer_generation | zs_opt | [
0.5057323575019836,
-0.25180065631866455,
-0.5231481194496155,
-0.049149759113788605,
-0.10139845311641693,
-0.9809508323669434,
0.6466535925865173,
0.2849087715148926,
-0.20590505003929138,
-0.48060598969459534,
-0.368360698223114,
0.3931778073310852,
-0.7521967887878418,
0.46646666526794... |
Instructions: 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).
Input: The general impression at present is that anything bud... | Nu är det allmänna intrycket att allt i Europa som har med budgeten att göra är dåligt. | 3 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
-0.08452297747135162,
1.1430280208587646,
0.20011919736862183,
-0.8949973583221436,
0.0032296141143888235,
-0.056027851998806,
0.6323784589767456,
0.9305216073989868,
0.7376582622528076,
0.03263995051383972,
0.3652542531490326,
0.7447361946105957,
-0.3674716055393219,
-0.5377240180969238,
... |
In this task you will be given a list of integers. A list contains numbers separated by a comma. You need to round every integer to the closest power of 2. A power of 2 is a number in the form '2^n', it is a number that is the result of multiplying by 2 n times. The following are all powers of 2, '2, 4, 8, 16, 32, 64, ... | [32, 32, 1024, 4096, 16, 64]
| 6 | NIv2 | task1444_round_power_of_two | fs_opt | [
-0.18548153340816498,
0.6172051429748535,
-0.5086081027984619,
-0.1454463005065918,
0.11727510392665863,
-0.07012990117073059,
1.1243393421173096,
0.4123828709125519,
-0.36512452363967896,
0.19591468572616577,
-0.7044765949249268,
0.7503180503845215,
-0.3578973710536957,
-0.189705044031143... |
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 review of movie. Your task is to classify given movie review into two categories: 1) positive, and 2) negative based on its content.
For a movie that gets no respect th... | negative | 0 | NIv2 | task284_imdb_classification | fs_opt | [
-0.10006467998027802,
0.17913813889026642,
-0.3194553256034851,
0.2522023022174835,
0.07850554585456848,
-0.2583937346935272,
0.5769426822662354,
0.5962487459182739,
-0.1749338060617447,
-0.08957365155220032,
-0.33010542392730713,
-0.23269928991794586,
-0.37353163957595825,
-0.634434461593... |
A text is given in Bengali. Translate it from the Bengali language to the Gujarati language. The translation must not omit or add information to the original sentence.
Input: Consider Input: પ્રધાનમંત્રીએ તાજેતરમાં ભારતમાં થયેલા આર્થિક વિકાસની વિગતવાર વાત કરી હતી.
Output: প্রধানমন্ত্রী ভারতের আর্থিক অগ্রগতির কথা বিশদ... | Output: নতুন স্পোর্টস আকাদেমি, নতুন স্পোর্টস স্টেডিয়াম, সায়েন্টিফিক এনভায়রনমেন্টে ট্রেনিং, বিশ্বে তাঁদের ট্যালেন্ট প্রকাশে সাহায্য করবে।
| 2 | NIv2 | task1068_pib_translation_gujarati_bengali | fs_opt | [
-0.3085358738899231,
0.9413517713546753,
0.06729752570390701,
-0.5867218971252441,
-0.20681428909301758,
-0.19358879327774048,
0.43360018730163574,
0.16223542392253876,
0.10004613548517227,
-0.2908737063407898,
-1.0269110202789307,
-0.2469479739665985,
-0.6210536956787109,
-0.1596914678812... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Let me give you an example: Udostępniam rozwiązanie. Jestem bardzo szczęśliwy.
The answer to this example can be: Brindo soluciones. Estoy muy feliz.
Here is why: The Polish sentence is correctly translated into Spanish, bec... | pero no era simplemente por ser elegido o por el poder o por la celebridad o por la fama — la razón de su ambición era conseguir algo suficientemente valioso en la vida para que pudiera hacer del mundo un lugar mejor por el hecho de haber vivido en él. | 8 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-1.0895575284957886,
1.0902564525604248,
-0.17400629818439484,
-0.20802240073680878,
-0.2953435182571411,
-0.8735500574111938,
1.1459934711456299,
-0.25380802154541016,
0.4583633542060852,
-0.6793285012245178,
-0.49437960982322693,
0.8530906438827515,
-0.574863076210022,
0.5405117273330688... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determ... | Yes | 4 | NIv2 | task1200_atomic_classification_xeffect | zs_opt | [
0.0783931165933609,
0.2741684913635254,
0.40348660945892334,
-0.4146801233291626,
-0.36613988876342773,
-0.9428368806838989,
1.2250357866287231,
0.4913642704486847,
-0.3269229531288147,
-0.32533884048461914,
-0.34668463468551636,
-0.6204875111579895,
-0.5217622518539429,
0.3789121806621551... |
Definition: You are given a passage. Using the information present in the passage, you need to classify it into one of the 10 topics: 0 - 'Society & Culture', 1 - 'Science & Mathematics', 2 - 'Health', 3 - 'Education & Reference', 4 - 'Computers & Internet', 5 - 'Sports', 6 - 'Business & Finance', 7 - 'Entertainment & ... | 0 | 2 | NIv2 | task1593_yahoo_answers_topics_classification | zs_opt | [
0.296339750289917,
0.33140620589256287,
-0.2379438579082489,
0.07584565877914429,
-0.2764892280101776,
-0.2225370854139328,
-0.0008372361771762371,
0.24593663215637207,
0.20692186057567596,
0.3460986614227295,
-0.11697224527597427,
0.34550708532333374,
-0.563836395740509,
-0.19293200969696... |
Q: In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Radley had further opportunities t... | Not paraphrase | 7 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-0.9411698579788208,
0.5412173867225647,
-0.25686997175216675,
-1.0184085369110107,
-0.7584035992622375,
0.8434404730796814,
0.9048240184783936,
-0.32648712396621704,
0.7208137512207031,
-0.6115451455116272,
-0.39416736364364624,
0.6141464710235596,
-0.9504197835922241,
0.7446781396865845,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
E depois há uns amigos que me ligam, e eles ligam uns aos outros. | ואז כמה חברים מתקשרים אלי, ומתקשרים אלו לאלו. | 0 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
-0.5125234127044678,
0.9323520660400391,
-0.4171503782272339,
-0.5189125537872314,
-0.8264804482460022,
0.20596051216125488,
0.645092248916626,
-0.3947663903236389,
0.6939806938171387,
-0.41837161779403687,
-0.6482365131378174,
0.11676032096147537,
-1.0628331899642944,
-0.09848102182149887... |
Instructions: In this task, you're given reviews from Amazon's products. Your task is to generate the Summary of the review.
Input: I spend all of my time untangling this thing. I have watched video after video and followed instructions exactly. Only works on fingerling weight yarn. You can forget worsted weight. Waste... | Difficult to find yarn that does not bind up machine. | 3 | NIv2 | task618_amazonreview_summary_text_generation | zs_opt | [
0.32232293486595154,
0.6241292357444763,
-0.5049908757209778,
-0.29366594552993774,
-0.03294467180967331,
-0.4744272828102112,
0.5841749906539917,
0.8323186635971069,
-0.5191919803619385,
0.6158907413482666,
-0.24384267628192902,
0.25291624665260315,
-0.33263158798217773,
0.128931313753128... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a list of numbers. The goal is to divide all the numbers in the list by a constant such that the sum of the resulting list is 1. The output should be rounded to 3 decimals.
[243.134, -20.562, 220.138]
Output: | [ 0.549 -0.046 0.497] | 1 | NIv2 | task093_conala_normalize_lists | zs_opt | [
-0.447939932346344,
0.7751069068908691,
-0.7948132157325745,
-0.6960698962211609,
0.05913994461297989,
0.6416884660720825,
0.45662641525268555,
-0.30449897050857544,
-0.15420851111412048,
0.2537679970264435,
-0.7622280716896057,
0.15477107465267181,
-0.22287163138389587,
-0.468426972627639... |
In this task, you are given a question in English, and your task is to translate it into Persian.
Example Input: Will the new SAT be harder than the Current SAT?
Example Output: آیا SAT جدید سخت تر از SAT فعلی خواهد بود؟
Example Input: Is our PM Modi doing the correct thing with 500 and 1000 Rs notes?
Example Output:... | من می خواهم ۲۰،۰۰۰ روپیه در صندوق مشترک سرمایه گذاری کنم. کدام صندوق مشترک بهترین سرمایه گذاری است؟
| 3 | NIv2 | task652_parsinlu_en_fa_translation | fs_opt | [
-0.5527818202972412,
0.24333035945892334,
-0.5481607913970947,
0.1992553174495697,
0.037460602819919586,
-0.30265045166015625,
0.5310126543045044,
1.07545804977417,
0.839385449886322,
0.3716306984424591,
-0.3967604339122772,
0.8148159980773926,
-0.05194128304719925,
-0.06231450289487839,
... |
Teacher: Classify the given tweet into the three categories: (1) 'Hate Speech', (2) 'Offensive' and (3) 'Neither'. 'Hate Speech' is kind of a threating statement or sometimes include call for violence while 'offensive' statement just offensds someone. 'Neither' is when it doesn't fall into Hate Speech or Offensive cate... | Offensive | 2 | NIv2 | task904_hate_speech_offensive_classification | fs_opt | [
-0.5868157148361206,
0.11003050953149796,
0.677932620048523,
0.21726025640964508,
-0.03973162919282913,
-0.7113310098648071,
-0.0834672823548317,
0.6166735887527466,
0.3695846199989319,
0.47567474842071533,
-0.168727308511734,
-0.3761228919029236,
-0.8979049921035767,
-1.1060014963150024,
... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given two options and you need to select the one that best connects the first sentence with the rest of the story. Indicate your answer by 'Option 1' if the first option is co... | Option 1 | 4 | NIv2 | task065_timetravel_consistent_sentence_classification | fs_opt | [
0.10058397054672241,
0.19321224093437195,
-0.5692516565322876,
0.1918814778327942,
0.004401562735438347,
0.005056076217442751,
0.06476510316133499,
0.9574832916259766,
0.35826635360717773,
-0.07147230952978134,
-0.15372328460216522,
-0.5238862037658691,
-0.47250354290008545,
-0.33925643563... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
Ex Input:
Sente... | crops
| 1 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.07065721601247787,
1.2157272100448608,
0.08840855956077576,
-0.5237963199615479,
-0.15883594751358032,
-0.962074339389801,
0.5218610763549805,
0.6822541952133179,
-0.18412835896015167,
-0.027665676549077034,
-0.66169273853302,
-0.24139703810214996,
-0.7084249258041382,
0.4753057956695556... |
Detailed Instructions: In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.
Problem:Protection of species of wild fauna and flora by regulating trade therein (
Solution: | Защита на видове от дивата флора и фауна - изпълнителни правомощия на Комисията ( | 8 | NIv2 | task272_europarl_translation | zs_opt | [
-0.20454329252243042,
0.6676506996154785,
-0.15077979862689972,
-0.24393686652183533,
-0.5047328472137451,
-0.3970273733139038,
0.6652296185493469,
-0.13338138163089752,
0.3733971416950226,
-0.694907009601593,
-0.2301008105278015,
0.5864781737327576,
-1.2376134395599365,
0.0679269880056381... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negativ... | 94.769 | 4 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.23120227456092834,
0.37482959032058716,
0.07917243242263794,
0.09975763410329819,
-0.04881644994020462,
-0.27864712476730347,
1.127022624015808,
0.8334561586380005,
0.10467232763767242,
-0.27119457721710205,
-0.4034865200519562,
0.28358617424964905,
0.009074220433831215,
0.28600925207138... |
Detailed Instructions: 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'.
Problem:news:Finnish sports equipment maker Amer Sports Oyj ( HEL : AMEAS ) said today that its net loss ... | false | 8 | NIv2 | task844_financial_phrasebank_classification | zs_opt | [
-0.6356697678565979,
0.2222423255443573,
-0.6869223713874817,
0.3917773962020874,
-0.4001592993736267,
-0.544114351272583,
-0.18252913653850555,
0.687721312046051,
0.1775098592042923,
0.11988678574562073,
-0.44618260860443115,
0.68592369556427,
-0.23448504507541656,
-0.42146164178848267,
... |
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.
One example: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Solution is here: Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Explanation: The Japanese sentence is co... | Mi piacerebbe parlare brevemente di tre nuove invenzioni che cambieranno le vite di molte persone. | 6 | NIv2 | task1096_ted_translation_ja_it | fs_opt | [
0.016091667115688324,
0.2539291977882385,
-0.47529715299606323,
-0.3994618058204651,
-0.2609601616859436,
-0.8923064470291138,
0.522969126701355,
1.2067480087280273,
0.3489725887775421,
-0.5561369061470032,
-0.7584761381149292,
0.9779191613197327,
-0.49204179644584656,
0.2398357093334198,
... |
In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or ant... | Solution: Stereotype | 5 | NIv2 | task279_stereoset_classification_stereotype | fs_opt | [
0.103002168238163,
0.40598177909851074,
-0.4650728702545166,
0.2650318145751953,
-0.11470422893762589,
0.07097408920526505,
0.6013551950454712,
0.630239725112915,
0.3394157290458679,
-0.7887014150619507,
-0.9125832319259644,
0.2536258101463318,
-0.6948103308677673,
-0.10849112272262573,
... |
Given the task definition and input, reply with output. In this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.
Question: Benzodiazepines reduce anxiety because they work as:
Options: <1> Antagonist... | 2 | 5 | NIv2 | task1431_head_qa_answer_generation | zs_opt | [
-0.439008891582489,
0.6281936168670654,
0.025004323571920395,
-0.31777438521385193,
-0.017222821712493896,
-0.48930487036705017,
1.4221038818359375,
0.5531584620475769,
0.2426486611366272,
-0.22591260075569153,
-1.0893189907073975,
-0.25999724864959717,
0.05967839062213898,
-0.546764850616... |
You will be given a definition of a task first, then some input of the task.
Your task is to generate the next utterance in a given dialogue. You will be given a few sentences describing the personality of the person who is making the dialogue, and a history of the dialogue after that. Each line in the history is said ... | Yes I like to play base ball. | 1 | NIv2 | task1729_personachat_generate_next | zs_opt | [
-0.37293925881385803,
0.05699963867664337,
-0.8975221514701843,
-0.041694119572639465,
-0.4168417453765869,
0.4486086070537567,
0.9866499900817871,
-0.584536075592041,
0.523705005645752,
-0.5797531604766846,
-0.09128282964229584,
0.2345472127199173,
-0.2699071764945984,
0.20792947709560394... |
Detailed Instructions: 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 whe... | blue_envelope | 8 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-0.07966183125972748,
-0.3575552999973297,
-0.08792638033628464,
-0.3144526481628418,
-0.39366093277931213,
-0.04755741357803345,
-0.209527850151062,
1.051672339439392,
0.35906165838241577,
-0.13102003931999207,
-0.23372671008110046,
0.6271406412124634,
0.08161391317844391,
0.1332040727138... |
Given a sentence in Japanese, provide an equivalent paraphrased translation in Spanish that retains the same meaning both through the translation and the paraphrase.
Example input: 1975 - 76年のNBAシーズンは、全米バスケットボール協会の30番目のシーズンでした。
Example output: La temporada 1975 - 76 de la Asociación Nacional de Baloncesto fue la tem... | En 1923, John Archibald Maharg era un miembro independiente del líder de la oposición, y Harris Turner, también independiente, se desempeñó como líder de la oposición en 1924 y 1925. | 3 | NIv2 | task816_pawsx_japanese_spanish_translation | fs_opt | [
-0.2541120946407318,
-0.5591418743133545,
-0.43863946199417114,
0.29448747634887695,
-0.2252756804227829,
-1.0244687795639038,
0.955332338809967,
0.52126544713974,
-0.4010659456253052,
0.3754785656929016,
-0.282335102558136,
0.29131484031677246,
-0.7597370147705078,
0.16339045763015747,
... |
Given the task definition, example input & output, solve the new input case.
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to generate a natural language interpretation of the given command.
Here are the definitions of logical operators... | select the rows whose competition record fuzzily matches to friendly . the number of such rows is 2 . | 1 | NIv2 | task110_logic2text_sentence_generation | fs_opt | [
0.4616374969482422,
-0.19607508182525635,
-0.3198608458042145,
0.5324630737304688,
0.3010534942150116,
-0.17468927800655365,
0.06521964818239212,
0.41910481452941895,
0.03584621474146843,
-0.3754202127456665,
-0.6034637689590454,
0.37282177805900574,
0.140530064702034,
0.3961547017097473,
... |
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 set of queries separated by '
', and your job is to find out the query which is not a well-formed or well-structured query in terms of grammar, punctuations, or spelling errors.
How ... | What are France 's technology ? | 0 | NIv2 | task674_google_wellformed_query_sentence_generation | fs_opt | [
-0.00006805127486586571,
0.30398252606391907,
-0.20440669357776642,
-0.20663806796073914,
-0.5228003263473511,
0.27685821056365967,
0.9625396728515625,
-0.2603771388530731,
-0.14780810475349426,
-0.4334760308265686,
-0.26031017303466797,
-0.48738837242126465,
0.30634063482284546,
-0.079347... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Input: Consider Input: רמת הסיכון במדע היתה תחת שליטה.
Output: مخاطر العلم كانت تحت السيطرة.
Input: Consider Input: מספר קילומטרים, אולי, זה מרחק טיפוסי.
Output: بضع كيلوميترات ، وهو أمر معتاد.
Input: Consider Input: אז... | Output: لذا أتمنى أن لا ننتظر يوم (بطل غداء المدرسة) لتقول شكرًا لعاملي الغداء ، وأتمنى أن تتذكر كم يمكن أن تكون كلمة الشكر قوية.
| 2 | NIv2 | task1237_ted_translation_he_ar | fs_opt | [
-0.6334984302520752,
0.27154016494750977,
0.08779345452785492,
-0.7938053011894226,
-1.0288629531860352,
-0.5961034297943115,
0.13527941703796387,
-0.0808134526014328,
0.7206720113754272,
-0.7443060874938965,
-1.2892897129058838,
0.4182590842247009,
-0.2604160010814667,
-0.3153086900711059... |
instruction:
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
question:
このビデオを見ている猫を見ている猫までいます (笑)
answer:
Koty oglądały inne koty oglądające to video. (Śmiech)
question:
(歓声) わたしの両親は急進主義者が、 (笑い) 成長して大人になった人たちでした。
answer:
(aplauz) Rodzice byli radykałami (śmiech) którz... | Kontrolując kod, masz kontrolę nad światem.
| 9 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
-0.26976367831230164,
0.8697015047073364,
-0.343197762966156,
-0.20544549822807312,
-0.9501153230667114,
-0.23206454515457153,
0.499081015586853,
-0.1895296722650528,
-0.04400939494371414,
-0.7279466390609741,
-0.6035966873168945,
0.3483152985572815,
-0.5339765548706055,
-0.063179701566696... |
In this task, you're given a context, a sentence, and a character. The sentence describes an action or job of the given character. Also, the context provides more information about the sentence or the character. Your task is to return one of the emotions which are expressed by the Character in the given sentence. For ... | worried
| 3 | NIv2 | task293_storycommonsense_emotion_text_generation | fs_opt | [
0.05404256284236908,
0.6390407085418701,
-0.2901960015296936,
-0.06490010023117065,
0.4624560475349426,
-0.48672834038734436,
1.1671916246414185,
0.39153170585632324,
0.2007635235786438,
-0.08266021311283112,
0.10737983882427216,
0.11851625889539719,
-0.9935994148254395,
0.1537262201309204... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.
اصبح فمى جاف كصحراء (كالاهارا)
Output: | Ho la bocca asciutta come il deserto del Kalahari. | 1 | NIv2 | task1106_ted_translation_ar_it | zs_opt | [
-0.36173343658447266,
0.4765780568122864,
-0.5041648149490356,
-0.31971749663352966,
-1.1211397647857666,
0.049731358885765076,
0.23559580743312836,
0.7263340950012207,
0.23863434791564941,
-0.36009687185287476,
-0.3686826229095459,
-0.1026962548494339,
-0.6272653341293335,
-0.191256046295... |
In this task you are given a sentence with one coordinating conjunction (for, and, nor, but, or, yet, and so). You must judge whether the order of two coordinated clausal conjoints have been inverted or not. Inversion would result in the sentence sounding unnatural. Label the instances as "Original" or "Inversion" base... | Original | 4 | NIv2 | task516_senteval_conjoints_inversion | zs_opt | [
-0.09501243382692337,
0.7301645874977112,
0.3856015205383301,
0.06426107883453369,
0.019632209092378616,
-0.5053788423538208,
0.17704659700393677,
0.8031683564186096,
-0.20721429586410522,
0.007677551358938217,
-0.5808843374252319,
-0.7676373720169067,
-1.0336871147155762,
-0.2565582990646... |
Given the task definition, example input & output, solve the new input case.
You are given a sentence in Italian. Your job is to translate the Italian sentence into Polish.
Example: (Risate) E infatti aveva già pubblicato tanti video sulla natura.
Output: (Śmiech) Opublikował wiele filmów o przyrodzie.
The Italian sent... | Ponadto zapraszamy innych do odkrywania naszej części świata. | 1 | NIv2 | task1253_ted_translation_it_pl | fs_opt | [
-1.0516817569732666,
0.9262461066246033,
-0.2116461992263794,
0.30479371547698975,
-0.5740400552749634,
0.13931335508823395,
0.21293169260025024,
0.4388909339904785,
-0.28909969329833984,
-0.34831827878952026,
-0.6937414407730103,
0.6503576636314392,
-0.15952053666114807,
0.265407085418701... |
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 deter... | No | 0 | NIv2 | task1203_atomic_classification_xreact | zs_opt | [
-0.03134477883577347,
0.1391598880290985,
0.5222667455673218,
-0.2810651659965515,
-0.49155956506729126,
-0.8791065216064453,
1.4785206317901611,
0.5319733619689941,
-0.5273874998092651,
-0.5116307735443115,
-0.47725337743759155,
-0.15632890164852142,
-0.7297437787055969,
0.498262792825698... |
Teacher:In this task, you're given the title of a story consisting of five sentences, numbered 1 through 5. Your job is to determine which two sentences need to be swapped sentences in order to make a story that makes complete sense and is befittingly titled. Indicate your answer using the numbers of the two sentences ... | 41 | 6 | NIv2 | task218_rocstories_swap_order_answer_generation | zs_opt | [
-0.4071027636528015,
0.10513214766979218,
-0.5143364667892456,
-0.42749911546707153,
-0.02593376487493515,
-0.5257067680358887,
0.7944279909133911,
0.790848433971405,
0.06960520148277283,
-0.08137290179729462,
-0.45363545417785645,
-0.2725965082645416,
-0.9269037246704102,
-0.1233979463577... |
Given the task definition and input, reply with output. Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.
Dave LeeNorth America technology reporter So, barring any surprises – a Steve Jobs-esque “one more thing” – we have a pretty good idea of what to ... | Apple has given the Oval Office a run for its money in the past few weeks – we’ve had an unprecedented number of leaks ahead of the firm’s annual product launch. | 5 | NIv2 | task1357_xlsum_summary_generation | zs_opt | [
0.23301157355308533,
0.32518142461776733,
-0.9083179831504822,
0.16499027609825134,
0.36001041531562805,
-0.2556770145893097,
-0.1169753149151802,
0.891710638999939,
-0.10358195006847382,
0.363907128572464,
0.15836964547634125,
0.6745702624320984,
-0.2751307487487793,
0.192450150847435,
... |
Definition: In this task, you are given a hypothesis and an update. The hypothesis sentence is a statement that speaks of a socially normative behavior. In other words, it is a generalizing statement about how we expect people to behave in society. The update provides additional contexts about the situation that might ... | strengthener | 2 | NIv2 | task937_defeasible_nli_social_classification | zs_opt | [
-0.025176584720611572,
0.20458205044269562,
-0.08731719106435776,
0.21036231517791748,
0.2345535159111023,
-1.1460213661193848,
0.6441084146499634,
1.1965978145599365,
0.22558629512786865,
-0.163291335105896,
-1.6126999855041504,
-0.18982936441898346,
-0.5155059099197388,
-0.24829857051372... |
Detailed Instructions: In this task, you are given a short passage that conveys a stereotype or an anti-stereotype. A stereotype is an over-generalized belief about a particular group of people(based on race, ethnicity, gender, age, abilities, etc.). An anti-stereotype is an idea that goes against a common stereotype. ... | Anti-stereotype | 9 | NIv2 | task316_crows-pairs_classification_stereotype | zs_opt | [
-0.2438218891620636,
0.42276379466056824,
-0.08724153786897659,
0.24295052886009216,
-0.18174012005329132,
-0.13562694191932678,
0.5502920150756836,
0.7648980617523193,
0.6334445476531982,
-0.031572744250297546,
-0.6797546148300171,
-0.15151096880435944,
-0.706436276435852,
-0.062335643917... |
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... | Neutral
| 5 | NIv2 | task421_persent_sentence_sentiment_classification | fs_opt | [
-0.5495058298110962,
0.8848650455474854,
0.6428014636039734,
0.23436252772808075,
0.4047841727733612,
-1.416312575340271,
1.026713490486145,
0.42168861627578735,
0.1456056535243988,
0.09098465740680695,
0.15509174764156342,
0.41052186489105225,
-0.7380515933036804,
-0.21157491207122803,
... |
In this task, you are given a sentence. You are expected to recognize the name of gene or protein. Although there might be several correct answers, you need to write one of them.
Q: Indeed , in vivo primed T cells predominantly express p50 / p50 and p65 / p50 dimers , whereas these p50 - containing complexes are bare... | GM - CSF
****
| 4 | NIv2 | task1480_gene_extraction_jnlpba_dataset | fs_opt | [
0.3666797876358032,
0.17802420258522034,
-0.7423006296157837,
-0.4175959825515747,
0.07864825427532196,
-0.8410588502883911,
0.5401824712753296,
1.2320605516433716,
0.13315707445144653,
0.18769514560699463,
-0.41984987258911133,
0.3108147978782654,
-0.8471487760543823,
0.12326248735189438,... |
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 consistency, answers should be in all lower cased letters.
Q: Category: MORE THAN ONE MEANING
Clue: It's a house of worship, or t... | a temple | 9 | NIv2 | task305_jeopardy_answer_generation_normal | zs_opt | [
-0.2470255345106125,
0.6624967455863953,
-0.035727374255657196,
-0.2838733196258545,
-0.24677525460720062,
-0.6111575961112976,
0.611226499080658,
0.3171101212501526,
0.6555212736129761,
-0.2745976448059082,
-0.009446145966649055,
0.24642321467399597,
-0.5694653987884521,
0.148865461349487... |
Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
Teacher: Now, understand the problem? Solve this instance: וכמנהלת, אני צריכה לבדוק אם הם עונים על הציפיות שלי.
Student: | Enquanto diretora, tenho que inspecionar aquilo que pretendo alcançar. | 6 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.5556825399398804,
0.2600420117378235,
0.3625059425830841,
-0.626417875289917,
-0.49111008644104004,
-0.0937105193734169,
-0.18225136399269104,
0.5501784086227417,
1.040696620941162,
-0.2475755512714386,
-0.24631427228450775,
-0.0676267147064209,
-0.6836090087890625,
-0.4391692876815796,... |
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.
Let me give you... | Bhaskar an honest, truthful gentleman came to the city for work to take care of his blind father Brahmaiah Chittor V. Nagaiah, mother Saraswatamma Hemalatha and disabled sister Shanta Anitha who are staying with his shrewd sisterinlaw Tulasamma S. Varalakshmi and incapable elder brother Ranganatham Prabhakar Reddy. Onc... | 8 | NIv2 | task103_facts2story_long_text_generation | fs_opt | [
0.33423322439193726,
-0.08464141190052032,
-0.4466980993747711,
0.4237426221370697,
0.06754843145608902,
-0.8667986392974854,
0.154802143573761,
1.3921313285827637,
-0.5623956918716431,
0.28209251165390015,
-0.2889120578765869,
-0.1498245894908905,
-0.4057565927505493,
1.0843021869659424,
... |
You are given a sentence in English. Your job is to translate the English sentence into Polish.
SS: All right, well, with that from the Ministry of Silly Walks, maybe I'd better end. I see I've gone over. | Steven Strogatz: Może zakończę tym Ministerstwem Głupich Kroków, bo widzę, że przeciągnąłem. | 0 | NIv2 | task1092_ted_translation_en_pl | zs_opt | [
-0.686758279800415,
-0.2533845007419586,
-0.39665865898132324,
0.02772931195795536,
-0.10638361424207687,
-0.8317805528640747,
-0.5127441883087158,
-0.6497761011123657,
-0.5800184607505798,
0.2285252958536148,
0.3055189847946167,
0.0689268559217453,
-0.04740777611732483,
0.5950497388839722... |
Detailed Instructions: A text is given in Bengali. Translate it from the Bengali language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: اقوام متحدہ میں مستقل نمائندہ محترمہ نکی ہالے سفیر نے وزیراعظم سے ملاقات کی
A: | শ্রীমতী হ্যালি প্রধানমন্ত্রীকে রাষ্ট্রপতি ট্রাম্পের শুভেচ্ছা জ্ঞাপন করেন। | 9 | NIv2 | task1070_pib_translation_urdu_bengali | zs_opt | [
0.599605917930603,
0.25465768575668335,
0.3150002360343933,
-0.44617196917533875,
-0.08114751428365707,
-0.7501909732818604,
0.8185077905654907,
-0.5293583869934082,
0.17826755344867706,
-0.1106376051902771,
-0.021560125052928925,
0.1819053441286087,
0.053973857313394547,
0.601025223731994... |
In this task you are given data in the tabular format and a question. Write the answer to the question based on the information in the table.
Example: Table: ['Pick', 'Player', 'Team', 'Position', 'School']. ['1', 'Ben McDonald', 'Baltimore Orioles', 'RHP', 'Louisiana State University']. ['2', 'Tyler Houston', 'Atlanta... | Solution: ['1/16', '3/32', '1/8', '5/32', '3/16', '7/32', '1/4', '5/16', '3/8', '7/16', '1/2', '9/16', '5/8', '11/16', '3/4', '13/16', '7/8', '15/16', '1', '1 1/8', '1 1/4', '1 1/2', '1 3/4', '2', '2 1/2'] | 5 | NIv2 | task758_msr_sqa_question_answer_generation | fs_opt | [
-0.23889493942260742,
0.13121329247951508,
-1.0566470623016357,
-0.329237163066864,
0.23721230030059814,
-0.14949838817119598,
0.7401914000511169,
0.711926281452179,
-0.18310916423797607,
-0.15867766737937927,
0.2714880108833313,
0.7551993727684021,
-0.3170205354690552,
-0.0151380375027656... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
This task is about translating a given French language sentence to English.
Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?
Solution: You did such a great thing... | Except if you scuttle it voluntarily. | 0 | NIv2 | task1690_qed_amara_translation | fs_opt | [
-0.4715023338794708,
0.7468264102935791,
0.68486487865448,
-0.07710956782102585,
0.37963008880615234,
-0.16955232620239258,
0.4429357349872589,
-0.06932619214057922,
0.1573253720998764,
0.18432945013046265,
-0.16980059444904327,
-0.037850771099328995,
-0.22870934009552002,
0.05279696360230... |
TASK DEFINITION: Given a sentence in Tagalog language, translate the sentence to English language keeping the meaning of the original sentence intact.
PROBLEM: Tagalog sentence: Narito ang mga simpleng paraan upang makatulong na protektahan ang iyong sarili:
SOLUTION: Here are simple ways to help protect yourself:
PR... | ... efforts in opening the door to women in statistics; for contributions to the profession over many years, for contributions to education, science and public service; for research contributions to combinatorics, statistical methods, applications and understanding history; and her spirit as a lecturer and as a role mo... | 8 | NIv2 | task451_opus_paracrawl_tl_en_translation | fs_opt | [
-0.0957120805978775,
0.3047950863838196,
-0.10263404250144958,
-0.4613645076751709,
0.3355143964290619,
-0.11537984758615494,
0.6823582649230957,
0.519398033618927,
0.03598969057202339,
0.2735404670238495,
-0.1149478480219841,
-0.10560626536607742,
-0.9129946231842041,
-0.09501606225967407... |
Teacher:You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
Teacher: Now, understand the problem? Solve this instance: Paragraph: By using multiple stages, empty fuel containers could drop away. This reduced the ... | increase it | 6 | NIv2 | task1731_quartz_question_answering | zs_opt | [
0.4026111662387848,
0.7519164085388184,
-0.09167656302452087,
-0.28473228216171265,
-0.4488402009010315,
-1.0869650840759277,
1.0071933269500732,
1.3898732662200928,
-0.2304781973361969,
0.21476216614246368,
-0.49304986000061035,
-0.06998396664857864,
-0.14724349975585938,
-0.4833445549011... |
Given the task definition and input, reply with output. In this task, you are given a multiple-choice question and you have to pick the correct option. Answer with option indexes (i.e., "A", "B", "C", and "D").
As they are immobile, what is an example of how animal life helps the reproduction cycle of plants? (A) squi... | A | 5 | NIv2 | task1286_openbookqa_question_answering | zs_opt | [
-1.084764003753662,
0.6382208466529846,
-0.2871357202529907,
0.39654815196990967,
-0.7152529954910278,
-0.5483710765838623,
0.6037237644195557,
0.5022886395454407,
-0.15610425174236298,
-0.037690483033657074,
-0.6933397054672241,
-0.0056219808757305145,
-0.1823711395263672,
0.1294613033533... |
In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Yo... | She apologized and kept it.
| 5 | NIv2 | task068_abductivenli_incorrect_answer_generation | fs_opt | [
0.5616708993911743,
0.4854215979576111,
0.08027753978967667,
-0.006090326700359583,
-0.6080218553543091,
-0.32684940099716187,
-0.11772612482309341,
0.7742642164230347,
-0.23122790455818176,
-0.42890414595603943,
-0.801882266998291,
0.43051984906196594,
-0.3003200590610504,
-0.171947941184... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Example Input: Japanese: デュラハンの調教師、デール・ローマンは、ニュースで「それは破壊的だ」と答えた。
Bahasa Ind... | No
| 3 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.1020810604095459,
0.040402933955192566,
-0.06590498238801956,
-0.20917418599128723,
-0.007486236747354269,
-0.7749578356742859,
0.6842745542526245,
0.16595514118671417,
-0.5580102205276489,
-0.15708684921264648,
-1.2540189027786255,
0.6430937051773071,
-0.826301634311676,
0.262302368879... |
Given the task definition and input, reply with output. You are given a paragraph, with numbered sentences, and a question. Write the numbers of the sentences needed to answer the given question. Separate multiple sentence numbers with a comma (", "). E.g. "1, 2" would be the correct response if Sent 1 and Sent 2 are n... | 10, 11. | 5 | NIv2 | task049_multirc_questions_needed_to_answer | zs_opt | [
1.150909185409546,
0.9275656938552856,
-0.4418624937534332,
-0.07766401767730713,
0.3066565990447998,
-1.3263959884643555,
0.5048113465309143,
0.7836871147155762,
0.047379668802022934,
-0.1294289231300354,
-0.7519984841346741,
0.45237648487091064,
-0.46489620208740234,
-0.03302496671676636... |
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 ... | Денят, в който ще се спотайва, е в суджуд. | 8 | NIv2 | task415_mickey_bg_sentence_perturbation_generation | fs_opt | [
0.2945452332496643,
0.6463915705680847,
-0.13978838920593262,
-0.8142236471176147,
0.21332098543643951,
-1.338561773300171,
0.885322093963623,
1.0704360008239746,
0.5390917062759399,
0.03920091688632965,
-0.144521102309227,
0.19497740268707275,
-0.1617724895477295,
-0.006556032225489616,
... |
You will be given a definition of a task first, then some input of the task.
You are provided with an "Event", "Intent" and "XEmotion" (PersonX's reactions for the given "Event"). Indicate PersonY's reaction (person feels) at the end of this event. Provide one reaction for PersonY. If there's nothing that can be implie... | understood | 1 | NIv2 | task924_event2mind_word_generation | zs_opt | [
0.18502169847488403,
0.23266690969467163,
0.02713567018508911,
-0.2139667570590973,
-0.2456929236650467,
-0.23215535283088684,
1.0156437158584595,
0.3495573103427887,
0.4116668105125427,
-0.3820687532424927,
0.22344309091567993,
-0.27987349033355713,
-0.43504464626312256,
0.048671498894691... |
Given the task definition and input, reply with output. In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but n... | Non-hateful | 5 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
-0.9351744055747986,
0.3854932188987732,
0.4159421920776367,
0.5139381885528564,
-0.222329780459404,
-0.4339236617088318,
0.6287294626235962,
1.1563419103622437,
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-0.22609207034111023,
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-0.8828198313713074,
-0.21155042946338654,
0... |
instruction:
A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
question:
یورپی اور اوشیانا ملکوں کے سفیروں اور ہائی کمشنروں کے ساتھ تجارت اور اقتصادی تعاون کے بارے میں تبادلہ خیال
answer:
यूरोप और ओशिनिया देशों... | राष्ट्रपति श्री रामनाथ कोविन्द ने आज (19 मार्च, 2019) राष्ट्रपति भवन में आयोजित रक्षा सम्मान समारोह में शौर्य और विशिष्ट सेवा पुरस्कार प्रदान किए।
| 9 | NIv2 | task1054_pib_translation_urdu_hindi | fs_opt | [
-0.06917393207550049,
0.8156644105911255,
0.06290508806705475,
-0.30776897072792053,
-0.12120363116264343,
-0.39072197675704956,
0.6943923234939575,
-0.15127232670783997,
-0.12084148824214935,
-0.6019374132156372,
-0.20242078602313995,
0.4620029032230377,
-0.6412005424499512,
0.49272018671... |
In this task, you're given a context passage, followed by a question that needs to be answered. Based on the paragraph, you must write unambiguous answers to the questions and your answer must refer to a specific phrase from the paragraph. If multiple answers seem to exist, write the answer that is the most plausible.
... | accept the invitation next | 0 | NIv2 | task595_mocha_answer_generation | zs_opt | [
0.24614080786705017,
1.3560638427734375,
0.5844593048095703,
0.06417300552129745,
-0.6319957375526428,
-0.20388126373291016,
0.8195245862007141,
0.2375524938106537,
0.32785171270370483,
-0.11428111791610718,
-0.7585757970809937,
-0.04165228456258774,
0.056425128132104874,
0.485562950372695... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Q: هم يأخذون أشكالاً مختلفة.
A: | Toman diferentes formas. | 4 | NIv2 | task1232_ted_translation_ar_es | zs_opt | [
-0.12985733151435852,
1.0851191282272339,
-0.07404385507106781,
-0.5092529058456421,
-0.6284258365631104,
0.4709377586841583,
0.1175808385014534,
0.3640834093093872,
1.129065990447998,
-0.9027894139289856,
-0.5627849102020264,
-0.1896151900291443,
-0.1054636687040329,
0.015471471473574638,... |
Q: In this task, you are given a sentence in Arabic, and your task is to translate it into English.
(أدم ) ؟
A: | Adam. | 7 | NIv2 | task650_opus100_ar_en_translation | zs_opt | [
0.2574317455291748,
0.547573447227478,
0.12838250398635864,
-1.495572805404663,
-0.3437480926513672,
-0.9423566460609436,
0.6238735914230347,
0.1813930869102478,
0.1500157117843628,
0.20120544731616974,
0.19416391849517822,
-0.08461268246173859,
-0.555175244808197,
0.14506785571575165,
0... |
Given the task definition and input, reply with output. 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.
मालदीवच्या अध्यक्षांसोबत त्यांच्या पत्नी फर्स्ट लेडी फझना अहमद आणि परराष्ट्र व्यवहारमंत्री अब्... | માલદિવનાં રાષ્ટ્રપતિની સાથે તેમના પત્ની પ્રથમ મહિલા ફઝના અહેમદ અને વિદેશ મંત્રી અબ્દુલા શાહિત, નાણાંમંત્રી ઇબ્રાહિમ અમીર, રાષ્ટ્રીય આયોજન અને માળખાગત મંત્રી મોહમ્મદ અસલમ, પરિવહન અને નાગરિક ઉડ્ડયન મંત્રી એશથ નાહૂલા, આર્થિક વિકાસ મંત્રી ઉઝ ફૈય્યાઝ ઇસ્માઇલ વરિષ્ઠ સરકારી અધિકારીઓ અને વ્યાવસાયિક પ્રતિનિધિમંડળ પણ આવ્યું છે. | 5 | NIv2 | task984_pib_translation_marathi_gujarati | zs_opt | [
-0.4405139088630676,
0.6478372812271118,
-0.21049779653549194,
-0.6134084463119507,
0.5101138353347778,
0.48857009410858154,
0.5077200531959534,
-0.29904261231422424,
-0.17927008867263794,
-0.24303051829338074,
-1.0187278985977173,
-0.09142538160085678,
-0.6194510459899902,
-0.043138217180... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.
One example is below.
Q: این یک خانه ی اسکیمو می شود.
A: Così diventa un igloo.
Rationale: The Farsi sentence is correctly translated into Italian, because the meaning is preserved.
Q: برای سالیان طولاتی ، برای ایمیل ها تنها ... | Per molti anni, nel campo delle email, l'unica soluzione è stato il PGP, che era abbastanza complesso ed accessibile solo agli esperti. | 9 | NIv2 | task1271_ted_translation_fa_it | fs_opt | [
-0.5038927793502808,
0.5582920908927917,
-0.06336373835802078,
-0.4743598401546478,
0.017192451283335686,
-1.1571786403656006,
0.8479084372520447,
-0.06907352805137634,
0.29290062189102173,
-0.18663384020328522,
-0.5329159498214722,
1.25053870677948,
-0.5407028794288635,
0.2971313595771789... |
You will be given a definition of a task first, then some input of the task.
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 equall... | PersonX always had expensive new stuff while PersonY had used stuff, as _ was rich. | 1 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
0.6145602464675903,
0.4257113039493561,
0.2670529782772064,
0.10486562550067902,
0.3282066881656647,
0.01446572132408619,
0.6301809549331665,
1.1542741060256958,
-0.04770887643098831,
-0.847517192363739,
-0.061401546001434326,
0.01661696285009384,
-0.17548495531082153,
-0.2824699282646179,... |
This task is to translate the English language Input to Telugu Language Output
Input: Consider Input: Studio 8 Blazer JUNIPER
Output: స్టూడియో 8 బ్లేజర్ జునిపెర్
Input: Consider Input: jpavol says:
Output: jpavol చెప్పారు:
Input: Consider Input: Page 1 of 1912345Next Last
| Output: పేజీ 1 యొక్క 1912345తదుపరి చివరి
| 2 | NIv2 | task1616_cc_alligned_translate_eng_tel | fs_opt | [
-0.3203188180923462,
-0.23146642744541168,
-0.6570492386817932,
0.2923150062561035,
0.038393959403038025,
-0.38405460119247437,
-0.12569469213485718,
0.3125154972076416,
0.21688657999038696,
-0.0006374408258125186,
0.41417253017425537,
0.09814083576202393,
-0.6842343807220459,
-0.721990942... |
Teacher: Given a text passage, come up with an appropriate title for it. The title should accurately represent what the main focus of the passage is. The title of a passage may be present in the first few sentences of the passage and/or be referred to multiple times in the passage. The title should be 1-5 words long.
T... | Walk This Way | 2 | NIv2 | task769_qed_summarization | fs_opt | [
0.9056024551391602,
0.617933988571167,
-0.5157599449157715,
0.6327332258224487,
0.0826813206076622,
-0.1151701956987381,
0.2478497475385666,
0.3681803345680237,
-0.35123831033706665,
0.5752480626106262,
0.03950182721018791,
0.48040688037872314,
-0.41065794229507446,
0.0689639151096344,
0... |
Detailed Instructions: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
Q: Comment: You're ignorant of the Church's pra... | Non-sexual-explicit | 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
-0.6317603588104248,
0.2189757227897644,
-0.2926071882247925,
0.1891179084777832,
0.21907645463943481,
-0.49832820892333984,
0.3363577723503113,
0.7406457662582397,
0.3908277153968811,
0.658964991569519,
0.37267327308654785,
0.03449857980012894,
-0.1837257295846939,
-0.5297949314117432,
... |
You will be given a definition of a task first, then some input of the task.
The provided file includes inquiries about restaurants, and we ask you to translate those to the Finnish language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and f... | anna minulle kaikki " mexican " ravintolat, joilla on vähintään 1 tähteä. | 1 | NIv2 | task251_spl_translation_en_fi | zs_opt | [
-0.48926377296447754,
0.7076327204704285,
0.2954251170158386,
-0.40378135442733765,
0.01433304138481617,
0.2346230447292328,
0.9279710054397583,
1.0806496143341064,
-0.6159856915473938,
-0.7279260754585266,
0.31381136178970337,
0.48734250664711,
-0.3703880310058594,
0.6274983286857605,
0... |
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'. If both sentences are plausible, pick the one that m... | a | 3 | NIv2 | task214_rocstories_incorrect_ending_classification | fs_opt | [
0.09276875853538513,
0.05029866844415665,
-0.3579421937465668,
0.3545405864715576,
0.42716267704963684,
-0.34013479948043823,
0.4167339503765106,
1.0817360877990723,
0.19160610437393188,
0.45108628273010254,
-1.0558407306671143,
0.26207101345062256,
-0.3159846365451813,
-0.1486045867204666... |
Detailed Instructions: This task is about translating a given Yoruba language sentence to English.
Q: Ó dá wa lójú pé ẹ̀mí mímọ́ Jèhófà ló ń jẹ́ kí wọ́n ṣe gbogbo àṣeyọrí tí wọ́n ń ṣe lẹ́nu iṣẹ́ náà, ó sì máa jẹ́ kí àsọtẹ́lẹ̀ Jésù nímùúṣẹ, èyí tó sọ pé: “A ó sì wàásù ìhìn rere Ìjọba yìí ní gbogbo ilẹ̀ ayé tí à ń gbé, k... | We are certain that Jehovah’s powerful holy spirit is behind their success and that his spirit will also ensure the fulfillment of Jesus’ prophecy: “This good news of the Kingdom will be preached in all the inhabited earth for a witness to all the nations. | 9 | NIv2 | task1686_menyo20k_translation | zs_opt | [
-0.637700080871582,
0.7882447242736816,
0.12783780694007874,
0.011042358353734016,
-0.04414530098438263,
-1.9185776710510254,
-0.3160291314125061,
-0.07313088327646255,
0.2340022176504135,
0.0967576801776886,
0.35355010628700256,
0.2847656011581421,
-0.5090011358261108,
0.5366898775100708,... |
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.
Q: Title: Shelly's Bad Luck. Sentence 1: Shelly was a memb... | People raved about it online.
****
| 4 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
0.15521204471588135,
0.9617649912834167,
-0.4827459454536438,
-0.44545871019363403,
0.13377344608306885,
-0.2706759572029114,
0.3083582818508148,
1.0414396524429321,
0.26100945472717285,
-0.25113818049430847,
-0.3514142632484436,
0.6842449903488159,
0.16830387711524963,
-0.3664066195487976... |
Detailed Instructions: You are given a sentence in English. Your job is to translate the English sentence into Italian.
See one example below:
Problem: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Solution: Perché? Perché quel profitto fa sì che qualunque soluzione da noi c... | Dopo le linee, mi interessai ai punti, arrivando ad un tipo di rappresentazione più simile a quella delle fotografie stesse. | 4 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.20878349244594574,
0.7633246183395386,
0.18813985586166382,
-0.2542819678783417,
-0.10526186227798462,
-0.570071816444397,
0.2354123890399933,
1.0780367851257324,
0.3104199469089508,
0.03810052201151848,
-0.12699037790298462,
0.8756346106529236,
-0.7207245826721191,
0.391302227973938,
... |
Definition: In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Input: Premise: Keith Ko... | Contradiction | 2 | NIv2 | task1385_anli_r1_entailment | zs_opt | [
0.1897287666797638,
0.03492385521531105,
-0.23267285525798798,
-0.014526907354593277,
-0.28463444113731384,
-0.3944448232650757,
0.05888931453227997,
0.04209088161587715,
0.4919247031211853,
0.7177219986915588,
-0.5229495167732239,
0.34264424443244934,
-0.6942611336708069,
-0.2126146852970... |
In this task you will be given a list of integers. You should find the minimum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the smallest possible absolute distance.
Ex Input:
[97, -... | 2
| 1 | NIv2 | task1445_closest_integers | fs_opt | [
-0.41805100440979004,
0.5688676238059998,
0.22741058468818665,
-0.147226020693779,
-0.04161033034324646,
-0.325495183467865,
0.6959372758865356,
0.3897706866264343,
0.5997510552406311,
-0.27123749256134033,
-0.2406195104122162,
-0.4230104684829712,
-0.6170216798782349,
0.013741515576839447... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant.... | user | 1 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
-0.5567001104354858,
0.6008121967315674,
-0.25736144185066223,
-0.703796923160553,
-0.46727871894836426,
-0.02535722777247429,
0.6363451480865479,
-0.588554859161377,
1.0185776948928833,
-0.4947131872177124,
-0.3453690707683563,
-0.6618540287017822,
-0.04691551253199577,
-0.128488659858703... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Q: Skomer Island and Marloes Sands are included in travel guide Lonely Planet's Best in Europe 2015 list.
Kent was ranked top, followed by County Kerry in Ireland, with destinations in Germany and Hungary also making the top f... | Business Secretary Sajid Javid says the government's trade union reforms will prevent people from being "bullied" by striking workers.
****
| 4 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.528502345085144,
-0.1310952603816986,
-0.778739333152771,
0.2583131194114685,
0.42142581939697266,
-0.2905673682689667,
0.18644298613071442,
0.8405376672744751,
-0.0181912649422884,
0.18146762251853943,
0.7320519685745239,
0.5773550271987915,
-0.5029948353767395,
0.42890286445617676,
-... |
instruction:
This task involves creating answers to complex questions, from a given passage. Answering these questions, typically involve understanding multiple sentences. Make sure that your answer has the same type as the "answer type" mentioned in input. The provided "answer type" can be of any of the following type... | 43.
| 9 | NIv2 | task028_drop_answer_generation | fs_opt | [
0.8705236911773682,
-0.06028697267174721,
-0.4875313341617584,
-0.12789079546928406,
0.19706140458583832,
-0.4834703207015991,
0.49229663610458374,
0.5998043417930603,
0.20111316442489624,
-0.3977283239364624,
-0.5087822079658508,
0.61417555809021,
-0.3468970060348511,
0.24537569284439087,... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: the first is when the individual's belief matches reality, the second is when the individual's belief does not match reality, and the third is when an individual has a ... | green_cupboard
| 5 | NIv2 | task152_tomqa_find_location_easy_noise | fs_opt | [
0.1284465491771698,
-0.09913592040538788,
-0.3285709619522095,
0.007256628014147282,
-0.33176249265670776,
-0.9690870046615601,
0.10666901618242264,
0.8493059873580933,
-0.014004120603203773,
-0.10672039538621902,
-0.3415370285511017,
0.6593212485313416,
-0.35519859194755554,
0.18538808822... |
Detailed Instructions: You are given a question or fill-in-the-blank question, two answer options (Option1 and Option2) and an Explanation. Your task is to find the correct answer (return the string of the correct option, not option1/2) for the given question from the given options and using explanation.
Q: Question: T... | less | 9 | NIv2 | task178_quartz_question_answering | zs_opt | [
-0.18352928757667542,
0.6565834283828735,
-0.21500365436077118,
-0.37651968002319336,
-1.1083025932312012,
-0.5680748224258423,
0.4746965169906616,
0.21106456220149994,
0.4096091389656067,
-0.338517427444458,
-0.32659056782722473,
-0.19697138667106628,
-0.3851354122161865,
0.21212509274482... |
In this task, you are given an input list A. You need to find all the elements of the list that are numbers and calculate their sum.
Example Input: ['6833', 'R', '7323', 'd', '3487', '8777', '9053', 'y', 'i', 'O', '467', 'b', '5969', 'D', 'B', 'r', '3073', 'i', 't', 'd']
Example Output: 44982
Example Input: ['h', '22... | 40422
| 3 | NIv2 | task499_extract_and_add_all_numbers_from_list | fs_opt | [
-0.1449676901102066,
0.3329983949661255,
-0.9508253931999207,
-0.5698816180229187,
-0.3799031972885132,
0.023204658180475235,
0.46793895959854126,
0.2338356077671051,
-0.6960846185684204,
-0.09905694425106049,
-1.1358771324157715,
-0.3287573456764221,
-0.0265803299844265,
-0.08770023286342... |
Definition: 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'.
Input: Passage: In 1787, Swedish pa... | Answer: 30 | 2 | NIv2 | task238_iirc_answer_from_passage_answer_generation | zs_opt | [
1.3230817317962646,
0.41208842396736145,
-0.5026949644088745,
-0.1689370721578598,
-0.11338284611701965,
-0.6717863082885742,
0.5197808146476746,
0.9389383792877197,
0.15660536289215088,
0.4936757981777191,
-0.27429652214050293,
0.5468846559524536,
-1.0418258905410767,
0.4035205841064453,
... |
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.
Example: What does the dc in Washin... | Solution: Jack White and Alicia Keys | 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.008738284930586815,
0.8733885288238525,
-0.30521154403686523,
-0.515587329864502,
-0.5628339052200317,
-0.30572763085365295,
1.1346538066864014,
0.08815672993659973,
-0.1933557093143463,
0.02272472158074379,
-0.7123832106590271,
-0.025473151355981827,
-0.5938036441802979,
-0.38442158699... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in Persian, and your task is to translate it into English.
و آن وقت با پیبردن به آن، گستاخیاش فرو مینشیند.
Output: | and that this would redeem his insolence. | 1 | NIv2 | task660_mizan_fa_en_translation | zs_opt | [
-0.5337211489677429,
0.6959449052810669,
-0.08619000017642975,
-0.08862235397100449,
-0.03128691390156746,
0.3606398403644562,
0.9471204876899719,
0.19302266836166382,
0.908596396446228,
0.09460079669952393,
-0.5702350735664368,
0.16347075998783112,
0.051933519542217255,
0.3157969117164612... |
Q: You are given a dialog between 2 or more individuals. You need to generate the number of the speaker (e.g. 1 for Speaker 1) who had the most lines in the dialog. If there is a tie, output the answer '0'.
Speaker 1: Oh my God! David!
Speaker 2: Hi! I-i-is this a bad time?
Speaker 1: No! It's a great time, come in..... | 1 | 7 | NIv2 | task909_dialogre_prevalent_speakers | zs_opt | [
0.6655478477478027,
0.15527786314487457,
0.18615123629570007,
-0.44058558344841003,
0.15813323855400085,
0.09472670406103134,
0.36713743209838867,
0.8377801179885864,
0.42498233914375305,
0.1415676772594452,
-0.8097060322761536,
0.30094119906425476,
-0.4176937937736511,
-0.3681604266166687... |
Given the task definition and input, reply with output. Given a scientific question, generate an incorrect answer to the given question. The incorrect answer should be a plausible alternative to the correct answer. The answer should be some other item belonging to the same category as the correct answer but should be i... | hyposensitivity | 5 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.401651531457901,
0.8780755996704102,
0.10812990367412567,
0.16647279262542725,
-0.29185426235198975,
-0.6041268706321716,
-0.18416094779968262,
-0.1407577246427536,
0.2898750901222229,
-0.5178998708724976,
-0.798148512840271,
0.4082975387573242,
-0.42793765664100647,
-0.1076951771974563... |
Teacher:Given a set of four words, generate the category that the words belong to. Words are separated by commas. The possible categories are social gathering, accomodation, physical property, measurement unit, corporate, nutritional value, boats, police punishment, location (proximity), card games, outdoor sport activ... | emotional display | 6 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
-0.007638957817107439,
0.33705830574035645,
-0.2592957615852356,
-0.39307701587677,
0.33574971556663513,
-0.08370032906532288,
-0.1837662309408188,
0.5459914207458496,
-0.0008955355733633041,
0.01891665905714035,
0.022300124168395996,
0.19895167648792267,
-0.4392235279083252,
-0.6083034276... |
instruction:
You are given a country name and you need to return the currency of the given country.
question:
Algeria
answer:
Algerian Dinar
question:
Malaysia
answer:
Malaysian Ringgit
question:
Australia
answer:
| Australian Dollar
| 9 | NIv2 | task1147_country_currency | fs_opt | [
-0.013381214812397957,
0.37274158000946045,
-0.7044892311096191,
-0.3231886327266693,
-0.991397500038147,
0.4961152970790863,
1.4104169607162476,
-0.19055336713790894,
-0.13115498423576355,
-0.4930519163608551,
-0.39028024673461914,
0.43738651275634766,
-0.45685479044914246,
-0.29010048508... |
Teacher: This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If th... | number | 2 | NIv2 | task027_drop_answer_type_generation | fs_opt | [
0.8601917624473572,
0.1504862755537033,
-0.7806768417358398,
-0.33335214853286743,
0.3293789327144623,
-0.3509942293167114,
0.9066625237464905,
0.7472268342971802,
0.2843545079231262,
-0.10057279467582703,
-0.032788343727588654,
1.0011448860168457,
-0.595767617225647,
0.1480696052312851,
... |
Q: In this task, you are given an utterance, which is a part of a conversation between a user and an agent. Your job is to detect the speaker. The user usually commands the agent to schedule events, retrieve event information, and check the schedule. While the agent's response is an answer to the user's questions or fo... | user | 7 | NIv2 | task1599_smcalflow_classification | zs_opt | [
-0.32458817958831787,
0.6748349666595459,
-0.0983247458934784,
-0.06851840019226074,
-0.23613083362579346,
-0.08795323967933655,
0.5143904685974121,
-0.03525860607624054,
0.3676906228065491,
-0.01371815986931324,
-0.03432006388902664,
0.1520044207572937,
-0.8775695562362671,
0.389630973339... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.
Part 2. Example
ایلان: درسته. این مهمه که بخش های راکت بتونند برگردند و بتونند به سایت پرتاب برگردند و اماده پرتاب باشند در عرض چند ساعت.
Answer: EM: Owszem. Ważne jest by rakieta mogła wrócić do lądowiska i... | Każde z siedmiu luster będzie miało 8,4 metra średnicy. | 7 | NIv2 | task1272_ted_translation_fa_pl | fs_opt | [
-0.5620673894882202,
1.215647578239441,
0.4871428608894348,
-0.2991950213909149,
-0.37128347158432007,
0.5152499675750732,
1.1649141311645508,
-0.438218891620636,
0.12561249732971191,
-0.7554637789726257,
-0.9632335305213928,
0.750612735748291,
-1.0330744981765747,
0.5392404794692993,
0.... |
Given the task definition and input, reply with output. 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 antonym (e.g., changing fr... | PersonX was more grateful for their gift than PersonY was for theirs because _ had gotten much less. | 5 | NIv2 | task035_winogrande_question_modification_person | zs_opt | [
0.23609311878681183,
0.39298248291015625,
-0.05264986306428909,
-0.11273833364248276,
0.23712287843227386,
-1.0584347248077393,
1.1281815767288208,
0.3980324864387512,
-0.10729876905679703,
-0.6711726784706116,
-0.3310975432395935,
0.25355252623558044,
-1.0366160869598389,
0.21487751603126... |
You are given a short paragraph, a question and two choices to answer from. Choose the correct answer based on the paragraph and write the answer(not the key).
[Q]: Paragraph: More recently, the death rate has fallen because of the availability of more food and medical advances.
Question: When the villagers are dying... | weak
| 5 | NIv2 | task1731_quartz_question_answering | fs_opt | [
0.14008668065071106,
0.6628916263580322,
-0.21100810170173645,
-0.19154313206672668,
-0.4869803786277771,
-1.1033520698547363,
0.8734004497528076,
1.1432876586914062,
-0.06684872508049011,
-0.2011079639196396,
-0.7371524572372437,
0.3371349573135376,
-0.7412647008895874,
0.1248294487595558... |
Definition: In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to collate all the alphabetical elements at the start of the list followed by all the numerical elements of the list. Maintain the order in which the alphabetical elements appear in the... | O, h, i, k, 6091, 6711, 2973, 7181, 351 | 2 | NIv2 | task509_collate_of_all_alphabetical_and_numerical_elements_in_list_separately | zs_opt | [
-0.20675259828567505,
0.5996010899543762,
-0.533786952495575,
-0.3377878665924072,
-0.024184349924325943,
0.19345083832740784,
0.1908576786518097,
0.12704432010650635,
0.4198967218399048,
0.47032344341278076,
-0.6475648283958435,
-0.14435651898384094,
0.42180317640304565,
0.244993567466735... |
Instructions: In this task, you will be given sentences in which your task is to recognize the name of the location or place. Although there might be several correct answers, you need to write one of them.
Input: On the piss at the Huxley in Edinburgh with @ savagi21 . Resident movie star . @teamwolfpack3000 http://t.... | the Huxley | 3 | NIv2 | task1452_location_entity_extraction_btc_corpus | zs_opt | [
-0.7832638025283813,
0.785829484462738,
0.18377669155597687,
-0.5677397847175598,
-0.18944202363491058,
-0.7692891359329224,
0.5569813251495361,
-0.9800024032592773,
0.6181420683860779,
-0.24017319083213806,
0.45638251304626465,
0.794081449508667,
-0.29694175720214844,
-0.72201007604599,
... |
Definition: In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Input: @trevschan2 when is fear going to get a truly badass villain? Madison isn't a villan to us. I'm cheering for the Clarks! Lol
Outpu... | Happy | 2 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
-1.3617351055145264,
0.4827691316604614,
0.33437609672546387,
-0.18873417377471924,
-0.12231644988059998,
-0.07804249972105026,
1.053301453590393,
-0.4836037755012512,
0.9407495260238647,
0.11065229773521423,
-0.27887701988220215,
0.1357017457485199,
-0.666312575340271,
-0.3486147522926330... |
Part 1. Definition
In this task, you need to provide the parts-of-speech tag of a word present in a sentence specified within curly braces ( '{{ ... }}' ). The parts-of-speech tags are coarse labels that represent a category of words with similar grammatical properties. The list of part-of-speech tags i.e tagset of th... | CONJ | 7 | NIv2 | task1168_brown_coarse_pos_tagging | fs_opt | [
0.3297816514968872,
0.30502817034721375,
-0.2399180680513382,
0.16284242272377014,
-0.12326212227344513,
-0.3582596182823181,
0.8068782091140747,
0.603801429271698,
-0.3359280228614807,
-0.10350290685892105,
-0.49907222390174866,
0.33760398626327515,
-0.4652445912361145,
0.3568516969680786... |
In this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as "Paraphrase" , if not label them as "Not paraphrase". The two sentences are seperated by a new line.
Q: Although the opponent , Guillermo ... | Not paraphrase | 4 | NIv2 | task400_paws_paraphrase_classification | zs_opt | [
-1.1737861633300781,
0.41549643874168396,
0.752133309841156,
-0.6682014465332031,
-0.27300071716308594,
-0.18832261860370636,
1.2126355171203613,
0.3354090750217438,
0.4268522262573242,
-0.48289525508880615,
-0.38513898849487305,
0.09229297935962677,
-0.4163474440574646,
0.4978630542755127... |
Teacher: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 answer... | No | 6 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.5684835910797119,
0.0788586288690567,
0.661439061164856,
-0.11589118838310242,
-0.39678049087524414,
-0.5823107361793518,
0.18574514985084534,
0.771308183670044,
0.03594347462058067,
-0.3405628800392151,
-0.7574567794799805,
0.29339534044265747,
-0.7121952176094055,
0.10533131659030914,... |
Q: In this task, you will be given a passage, a question and a list of single-word events identified from the passage. The goal is to point out all events from the given event list that can answer the question. If a question is unanswerable or none of the events answer the question, output should be empty.
Passage: Eve... | 7 | NIv2 | task390_torque_text_span_selection | zs_opt | [
0.42386436462402344,
1.0891618728637695,
0.10693581402301788,
-0.015180819667875767,
-0.40345194935798645,
-0.7765129804611206,
0.548204243183136,
0.3438558578491211,
-0.3388684093952179,
0.7420313358306885,
-0.978825569152832,
0.09711655229330063,
-0.8109250068664551,
0.07851345837116241,... | |
Given the task definition and input, reply with output. Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military... | collection | 5 | NIv2 | task1328_qa_zre_relation_generation_from_question | zs_opt | [
-0.32778406143188477,
0.08207415044307709,
0.04927174001932144,
0.21295614540576935,
0.4595518708229065,
-0.07191377133131027,
-0.696300208568573,
0.3942037522792816,
-0.6460278034210205,
0.007144422270357609,
0.25944840908050537,
0.18351973593235016,
-0.34735825657844543,
0.15656673908233... |
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