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 |
|---|---|---|---|---|---|---|
Given an Amazon customer review, write a title for the review. The preferred titles are under fifteen words.
Example: 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 look is very good. I am quite happy with this purchase. It fit my MacBook Pro perfectly, with a little bit of room to spare.
Example solution: Pleasantly surprised
Example explanation: The review is positive and the user liked the product very much based on the given review, and the title correctly resembles to review.
Problem: Love,love love it!! I would order these for friends. Great quality. I got the purple and love the color of it.
| Solution: IPad | 5 | NIv2 | task1342_amazon_us_reviews_title | fs_opt | [
-0.09888796508312225,
-0.06602656841278076,
-0.24878408014774323,
-0.23069444298744202,
-0.01731572300195694,
-0.5464259386062622,
0.6780539751052856,
0.32961755990982056,
0.190745547413826,
0.6534026861190796,
-0.07240654528141022,
0.27996826171875,
-0.5756487250328064,
-0.273659408092498... |
instruction:
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".
question:
Tweet: The indo chinese was a success! The wine not so much Question: is it a positive tweet?
answer:
no
question:
Tweet: Not sure Tx is much better. Son's HS cares nothing about him, only about their pass rate @emeraldjaguar Question: is it a positive tweet?
answer:
no
question:
Tweet: @chrismistybelle I'm working up here it's a summer camp just for June Question: is it a positive tweet?
answer:
| yes
| 9 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.6403251886367798,
0.4793940484523773,
-0.038791678845882416,
0.49897313117980957,
-0.2504109740257263,
-0.3619039058685303,
-0.12123936414718628,
0.3065641522407532,
0.21546757221221924,
-0.023398613557219505,
0.015467379242181778,
-0.7539393901824951,
-0.1583431214094162,
-0.2921716570... |
Instructions: In this task you will be given a list of integers. You should find the maximum 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 largest possible absolute distance.
Input: [-52, 75, 80, 46, 71, 9, 7]
Output: | 132 | 3 | NIv2 | task1446_farthest_integers | zs_opt | [
-0.5427564382553101,
0.7044841051101685,
0.18096166849136353,
-0.06631331145763397,
-0.2852073609828949,
-0.3517155051231384,
0.3347267806529999,
0.1478291004896164,
0.7386696338653564,
-0.2868489623069763,
-0.02201695553958416,
-0.11443209648132324,
-0.9390146732330322,
0.2677783966064453... |
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 : '$': Dollar Sign, "''": Single Quotes, ',': Comma Symbol, '-LRB-': Left Parantheses, '-RRB-': Right Parantheses, '.': Period, ':': Colon, 'ADD': Email Address, 'AFX': Affix, 'CC': Coordinating conjunction, 'CD': Cardinal Number, 'DT': Determiner, 'EX': Existential there, 'FW': Foreign Word, 'GW': Go with, 'HYPH': Hyphen symbol, 'IN': Preposition or a subordinating conjunction, 'JJ': Adjective, 'JJR': A comparative Adjective, 'JJS': A Superlative Adjective, 'LS': List item Marker, 'MD': Modal, 'NFP': Superfluous punctuation, 'NN': Singular Noun, 'NNP': Singular Proper Noun, 'NNPS': Prural Proper Noun, 'NNS': Prural Noun, 'PDT': Pre-determiner, 'POS': Possessive Ending, 'PRP': Personal pronoun, 'PRP$': Possessive Pronoun, 'RB': Adverb, 'RBR': Comparative Adverb, 'RBS': Superlative Adverb, 'RP': Particle, 'SYM': Symbol, 'TO': To , 'UH': Interjection, 'VB': Base form Verb, 'VBD': Verb in Past tense, 'VBG': Verb in present participle, 'VBN': Verb in past participle, 'VBP': Verb in non-3rd person singular present, 'VBZ': Verb in 3rd person singular present, 'WDT': Wh-determiner, 'WP': Wh-pronoun, 'WP$' Possessive Wh-pronoun, 'WRB': Wh-adverb, 'XX': Unknown, '``': Double backticks.
Sentence: Also that , I heard in the {{ next }} few years Fujairah would be as good as Dubai , is it true ?
Word: next
A: | JJ | 7 | NIv2 | task584_udeps_eng_fine_pos_tagging | zs_opt | [
-0.1864892989397049,
0.44681185483932495,
-0.0052124084904789925,
0.3496083617210388,
-0.14626801013946533,
-0.6529958844184875,
0.6963907480239868,
1.0496693849563599,
-0.5316551923751831,
-0.014164785854518414,
-0.3806270956993103,
0.6281837224960327,
-0.5094628930091858,
0.0377697795629... |
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Let me give you an example: ما آواز خوندیم ، و خوندیم ، آواز خونديم ، و بطور شگفت انگیزی اعتماد جدید رشد کرد ، و درواقع دوستی شکوفه زد.
The answer to this example can be: 私たちはただひたすら歌い続けましたすると驚くことに信頼が芽生え友情が花開いたのです
Here is why: The Farsi sentence is correctly translated into Japanese, because the meaning is preserved.
OK. solve this:
در 19 سالگی ، من یک بازیگر تمار عیار سینما بودم ، اما هنوز در جستجوی معنی بودم.
Answer: | 19歳には一人前の映画女優になっていましたがそれでも位置づけを模索していました | 8 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
0.29574713110923767,
1.586525797843933,
-0.3247685730457306,
-0.03079078160226345,
-0.7130718231201172,
-0.1716650426387787,
0.8420687317848206,
0.146572545170784,
0.2988726496696472,
-0.6112223267555237,
-0.8411773443222046,
0.35340675711631775,
-1.415116786956787,
0.18162283301353455,
... |
Definition: 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.
Input: Muscle and liver biopsies demonstrated the same anomalies , again without branching enzyme deficiency in the liver .
Output: | branching enzyme | 2 | NIv2 | task1481_gene_extraction_bc2gm_dataset | zs_opt | [
-0.31347790360450745,
0.24377882480621338,
-0.14265963435173035,
-0.26838254928588867,
-0.18603506684303284,
0.1940242201089859,
-0.0863877683877945,
0.4521920680999756,
0.13612350821495056,
-1.0712050199508667,
-0.8813134431838989,
0.033754486590623856,
-0.2759719789028168,
0.572366952896... |
Teacher:In this task, you are given Wikipedia articles on a range of topics as passages and a question from the passage. We ask you to answer the question by classifying the answer as 0 (False) or 1 (True)
Teacher: Now, understand the problem? Solve this instance: Passage: Alkene -- In organic chemistry, an alkene is an unsaturated hydrocarbon that contains at least one carbon--carbon double bond. The words alkene and olefin are often used interchangeably (see nomenclature section below). Acyclic alkenes, with only one double bond and no other functional groups, known as mono-enes, form a homologous series of hydrocarbons with the general formula CH. Alkenes have two hydrogen atoms fewer than the corresponding alkane (with the same number of carbon atoms). The simplest alkene, ethylene (CH), with the International Union of Pure and Applied Chemistry (IUPAC) name ethene, is the organic compound produced on the largest scale industrially. Aromatic compounds are often drawn as cyclic alkenes, but their structure and properties are different and they are not considered to be alkenes.
Question: can alkenes have more than one double bond
Student: | 1 | 6 | NIv2 | task1661_super_glue_classification | zs_opt | [
0.6172794103622437,
0.8798693418502808,
0.053984515368938446,
-0.4421888589859009,
-0.22703267633914948,
-0.33809971809387207,
1.1679625511169434,
0.692795991897583,
-0.025208452716469765,
-0.5910664796829224,
-0.6192880272865295,
-0.14470934867858887,
-0.3261192739009857,
0.15618775784969... |
Teacher: In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story coherent / plausible by writing "1" or "2" in the output. If both sentences are plausible, pick the one that makes most sense.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Beginning: Butch had a really old computer. Middle 1: Butch decided to order a new computer online. Middle 2: Butch noticed that a storm was approaching to his town. Ending: It arrived and Butch was much happier.
Solution: 1
Reason: People generally don't feel happy about natural disasters like storms. Therefore, we choose 1 in this case.
Now, solve this instance: Beginning: I got passed on a promotion at work, Middle 1: I went to see my boss and he gave me the promotion. Middle 2: I went to seem my boss and he fired me. Ending: He said that he didn't do it sooner because he wanted to motivate me.
Student: | 1 | 2 | NIv2 | task069_abductivenli_classification | fs_opt | [
-0.36449384689331055,
0.32438430190086365,
0.22022204101085663,
-0.26719966530799866,
0.009573354385793209,
-0.3959297239780426,
0.19650721549987793,
1.0890077352523804,
-0.008312404155731201,
0.19886890053749084,
-0.2974694073200226,
-0.07873253524303436,
-0.4219684600830078,
-0.542922437... |
Part 1. Definition
Based on the given question and tppic, give an answer. The answer is available on on the internet. The questions are mostly centered around a single named entity.
Part 2. Example
concept: Selena Gomez question: what city was selena gomez born in?
Answer: New York City
Explanation: The answer is correct based on the information available on the web about Selena Gomez.
Part 3. Exercise
concept: Fukushima I Nuclear Power Plant question: where is the fukushima daiichi located?
Answer: | ['Japan', 'Okuma'] | 7 | NIv2 | task1601_webquestions_answer_generation | fs_opt | [
-0.36766761541366577,
-0.10232619941234589,
-0.07530336081981659,
-0.30405473709106445,
-0.5160354971885681,
-0.3622182011604309,
0.9041208028793335,
-0.1492181420326233,
0.36938872933387756,
-0.08457343280315399,
-0.6794908046722412,
0.8062828779220581,
-0.8717108964920044,
0.094121709465... |
Detailed Instructions: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.
Problem:"Vai ser tão grande quanto a tua casa."
Solution: | "Será tan grande como a túa casa." | 8 | NIv2 | task1279_ted_translation_pt_gl | zs_opt | [
-0.09302155673503876,
1.7768888473510742,
-0.27785730361938477,
-0.988921046257019,
-0.05260208994150162,
-1.1592085361480713,
0.34296679496765137,
0.46382445096969604,
-0.5095404982566833,
0.2777850031852722,
0.0005964497104287148,
0.5734543800354004,
-1.1632753610610962,
-0.2010980248451... |
Part 1. Definition
In this task you will be given a string of characters. You should remove all vowels from the given string. Vowels are: i,e,a,u,o. The character 'y' or 'Y' does not count as a vowel.
Part 2. Example
hNarAik
Answer: hNrk
Explanation: The three vowels in the input 'a, 'A', and 'i' are removed.
Part 3. Exercise
SIPmIOirneMBPe
Answer: | SPmrnMBP | 7 | NIv2 | task365_synthetic_remove_vowels | fs_opt | [
0.7190859317779541,
0.7685011029243469,
0.13371020555496216,
-0.6378059983253479,
0.42884790897369385,
-0.485338032245636,
0.9464552402496338,
-0.34581029415130615,
0.38512906432151794,
-0.35309261083602905,
-0.4590988755226135,
-0.4953557252883911,
-0.4754876494407654,
-0.3445450067520141... |
You will be given a definition of a task first, then some input of the task.
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.
Sentence1: Cancer genes can be inherited.
Sentence2: Developing cancer can depend on your parents.
Output: | Cancer | 1 | NIv2 | task039_qasc_find_overlapping_words | zs_opt | [
-0.08102376013994217,
0.9596246480941772,
0.3346479535102844,
-0.8616783618927002,
-0.030566690489649773,
-0.19102567434310913,
0.7279107570648193,
0.8731452822685242,
0.396075963973999,
-0.8287718296051025,
-0.6704576015472412,
0.24212691187858582,
-0.6666778326034546,
0.10515980422496796... |
In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.
Example input: و همان کسى که جفتها را یکسره آفرید، و براى شما از کشتیها و دامها [وسیلهاى که] سوار شوید قرار داد.
Example output: He who created pairs of everything, and fashioned for you boats and beasts on which you ride,
Example explanation: This is a good example. The above sentence is correctly translated from Persian to English.
Q: بگو: «منتظر باشید که من [نیز] با شما از منتظرانم.»
A: | Tell them: "Keep on expecting, I am expecting with you." | 3 | NIv2 | task657_quran_fa_en_translation | fs_opt | [
-0.5391584038734436,
0.4244709312915802,
-0.4963388741016388,
-0.2667263448238373,
-0.23092980682849884,
-0.5571527481079102,
0.6982882022857666,
0.2192746251821518,
-0.05027049034833908,
-0.20104163885116577,
-0.8391578197479248,
1.1877801418304443,
-0.5394818782806396,
0.4993924498558044... |
Given the task definition, example input & output, solve the new input case.
Given a sentence in Hindi, generate a new Hindi sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Example: आप एक जूरी नहीं करना चाहते हैं तो आप एक वकील बनना चाहिए.
Output: आप एक जूरी जीतने के लिए जीते हैं तो आप एक राजा बनना चाहिए.
This is the good example. The created sentence is semantically similar to the input as both are talking about what to become if one doesn’t want to become the jury and the changes in the sentence follows the commonsense knowledge.
New input case for you: लोग अकसर अस्पताल में किसी के लिए फूल भेजते हैं।
Output: | लोग अकसर किसी को किसी के पास फूल भेजते हैं । | 1 | NIv2 | task407_mickey_hi_sentence_perturbation_generation | fs_opt | [
-0.8439605236053467,
0.5886275768280029,
0.43844035267829895,
0.22726577520370483,
0.1164994090795517,
-0.5095571279525757,
-0.06023745983839035,
1.0627233982086182,
-0.19641193747520447,
-0.6125653982162476,
-0.7556024789810181,
0.15069890022277832,
0.27060672640800476,
0.0958071872591972... |
In this task, you must modify the text given in the input to generate a paraphrased sentence. Your output sentence must retain the same meaning, but does not necessarily have to include all the details as the input text.
Ex Input:
sentence_B_original: a monkey pulls the tail of a dog
Ex Output:
A monkey is pulling a dog's tail
Ex Input:
sentence_B_original: a boy studies a calendar
Ex Output:
A boy is studying a calendar
Ex Input:
sentence_B_original: a man is opening a door
Ex Output:
| A man is opening a door
| 1 | NIv2 | task1614_sick_text_modify | fs_opt | [
0.11721952259540558,
0.8671590089797974,
-0.07492440193891525,
-0.5761112570762634,
-0.4378228783607483,
-0.6218146085739136,
-0.09395987540483475,
0.706755518913269,
-0.10739036649465561,
-0.11714746057987213,
-0.7215546369552612,
0.17887458205223083,
-0.5630788803100586,
0.06833934038877... |
Teacher: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.
Teacher: Now, understand the problem? Solve this instance: ['u', '417', 'A', 'K', 'O', 'n']
Student: | 417 | 6 | NIv2 | task499_extract_and_add_all_numbers_from_list | zs_opt | [
0.05113701522350311,
1.047491192817688,
-1.1768555641174316,
-1.3242449760437012,
-0.30318647623062134,
0.05951757729053497,
0.4675094485282898,
-0.3315850496292114,
-0.2990853190422058,
0.2967416048049927,
-0.04320196807384491,
0.05796942114830017,
0.47237634658813477,
-0.4387398362159729... |
Instructions: You will be given a context and a question in Spanish. Your job is to generate answers that are at least THREE words long.
The answers need to be context specific and can not be general knowledge or a random guess.
Input: CONTEXT: 18 de octubre de 2016 El presidente Barack Obama dijo que las quejas de Donald Trump de que las elecciones son fraudulentas son “irresponsables y por cierto tampoco muestran el tipo de cualidades necesarias para ser presidente”. “Una de las cosas grandes de la democracia estadounidense es que sin importar el partido, el perdedor reconoce la derrota, felicita al ganador, celebra la democracia y seguimos avanzando”, apuntó Obama durante una conferencia conjunta con el primer ministro italiano, Matteo Renzi. “Nunca he visto en mi vida o en la historia política de Estados Unidos a ningún candidato presidencial tratar de desacreditar la elección o el proceso electoral antes de que tenga lugar la votación”, dijo Obama. "¿Lloriquear antes de que haya terminado el juego? ¿Cuando vas perdiendo entonces empiezas a echar la culpa a alguien más? Así no es como se maneja este trabajo”, agregó al ser preguntado sobre las denuncias de Trump que hay una confabulación para que pierda la elección. “Lo invito a dejar de quejarse y salir a buscar votos”, le retó Obama. “Quiero enfatizar que no hay una sola persona seria que pueda decir que se pueden amañar las elecciones… No hay evidencia que haya sucedido en el pasado y no hay evidencia de que vaya a suceder en el futuro”, subrayó. El mandatario había criticado antes a Trump y a los republicanos por cambiar de posición respecto del presidente ruso Vladimir Putin. “Trump rara vez me sorprende estos días, pero me sorprenden otros republicanos que antes me criticaron por acercarme a Rusia, y ahora apoyan a Trump”, dijo. “El continuo elogio a Putin no tiene precedentes en la política estadounidense”, agregó. Obama y Renzi conversaron sobre la fortaleza que Estados Unidos espera de la Unión Europea y en donde Renzi es una voz importante, pero también tocaron temas globales como el fortalecimiento de la OTAN, las sanciones contra Rusia por el tema de Ucrania, contraterrorismo, el apoyo al gobierno y a los acuerdos nacionales librios, el cambio climático y el combate contra el Estado Islámico. La versión original del artículo, o partes de él, ha sido extraída de Voz de América. Voz de América libera sus contenidos bajo dominio público.
QUESTION: ¿Sobre qué estuvieron charlando Obama y Renzi?
Output: | la fortaleza que Estados Unidos espera de la Unión Europea | 3 | NIv2 | task1334_sqac_answer_generation | zs_opt | [
-0.04677251726388931,
0.5302307605743408,
-0.3560262620449066,
0.5880528092384338,
0.24359704554080963,
-0.495768278837204,
0.5423739552497864,
0.949084997177124,
0.010297007858753204,
0.22528110444545746,
-0.3524705767631531,
0.9255431890487671,
0.15728510916233063,
0.10063150525093079,
... |
In this task, you're given a statement and three sentences as choices. Your job is to determine which sentence can be inferred from the statement. Incorrect choices change the meaning in important ways or have details that are not mentioned in the statement. Indicate your answer as 1,2, or 3 corresponding to the choice number of the selected sentence.
Input: Consider Input: Statement: With his hands free, the rest was easy. Choices: 1. It was easy to break out of the cell, with his hands not free. 2. With his hands cut loose, the rest was a piece of cake. 3. With his hands still tied behind his back, everything else was impossible.
Output: 2
Input: Consider Input: Statement: I'd say, suh, if they're but a sample of Range stock, the breed is excellent. Choices: 1. I recommend you get one from the Range stock breed. 2. The Range stock breed is outstanding. 3. The Range stock breed is by far the worst.
Output: 2
Input: Consider Input: Statement: It didn't occur to him to disbelieve Slim at this point. Choices: 1. At that point he didn't think of disbelieving Slim. 2. He was immediately suspicious of Slim at that point. 3. Because of their previous history, he didn't think of disbelieving Slim.
| Output: 1
| 2 | NIv2 | task200_mnli_entailment_classification | fs_opt | [
-0.23506686091423035,
0.4632734954357147,
0.01961926557123661,
-0.6224967241287231,
0.43706387281417847,
-0.3074004650115967,
0.32310664653778076,
1.2272883653640747,
-0.1465006172657013,
0.08068207651376724,
-0.7000821828842163,
0.4008188247680664,
-0.6013118624687195,
-0.6000146865844727... |
Given the task definition, example input & output, solve the new input case.
Given a text paragraph and a fact, generate a statement that is using the content of the given paragraph yet, it is **incorrect** (i.e., it contradicts the statements of the input).
Example: Anne is rough. Cold people are rough. If Anne is green then Anne is blue. Rough people are young. Anne is blue. If someone is rough and furry then they are blue. All young people are cold. If someone is rough and nice then they are green. Anne is young.
Output: Anne is not young.
From the given paragraph particulary this parts 'Anne is rough' and 'Rough people are young', we can infer that Anne is young. So, this is a good example
New input case for you: Bob is kind. Bob is red. Gary is kind. If something is blue then it is cold. Bob is quiet. Gary is quiet. Gary is blue. Gary is nice. Bob is white. Bob is cold. Fiona is red. Bob is nice. If something is quiet and kind then it is red. Gary is cold.
Output: | Gary is not blue. | 1 | NIv2 | task967_ruletaker_incorrect_fact_generation_based_on_given_paragraph | fs_opt | [
0.13787218928337097,
0.4339422285556793,
-0.06990473717451096,
0.019290296360850334,
-0.21136176586151123,
-1.0689830780029297,
-0.13833770155906677,
0.9193973541259766,
-0.014146498404443264,
0.3279649615287781,
-0.2955378293991089,
-0.1338016241788864,
0.20524823665618896,
-0.42908465862... |
In this task, you are given inputs i and A, where i is an integer and A is a list. You need to output the first i elements of A, starting with the 1st element in A. i will always have a value less than the length of A
One example is below.
Q: 3, ['a', '34', 'f', '931', '7', '3432', '13245', '762']
A: a, 34, f
Rationale: Here, the first 3 elements from the list are 'a', '34', and 'f'.
Q: 5, ['d', '2209', 'l', 'I', '4967', '6187', 'p', 'q', '6385', '8687', 'g']
A: | d, 2209, l, I, 4967 | 9 | NIv2 | task063_first_i_elements | fs_opt | [
-0.08589408546686172,
0.4693542718887329,
-0.24230822920799255,
-0.642754077911377,
-0.3844163417816162,
0.01700121909379959,
0.8314452171325684,
0.17734447121620178,
-0.17305336892604828,
-0.3567914366722107,
-1.3021025657653809,
-0.4913627803325653,
-0.2429201602935791,
-0.47832894325256... |
Instructions: In this task, you're given an article and an answer. Your task is to generate the question for the answer based on the given article.
Input: Article: While drunken driving may be on the decline, traffic safety experts remain puzzled over how to deal with another alcohol related danger: drunken pedestrains. Pedestrians struck and killed by cars often are extremely drunk. In fact, they are intoxicated more frequently and with higher blood alcohol levels than drunken drivers who are killed in accidents, various studies have shown. Forty percent of adult pedestrians involved in fatal crashes have a blood alcohol level of at least 0.10 which by law in most states signifies intoxication compared to only 25 percent of drivers in deadly accidents, according to recent federal data. Some types of pedestrain accidents have been declining nationally, especially those involving children, but the number of adult pedestrians who are drunk when killed in traffic has remained ly steady at 2500 a year. The total number of pedestrians killed annually in U.S. traffic accidents is at least 7000, or one of every seven highway accidents resulting in death. "We're dealing here, we think, with a very severe drinking problem that leads to a severe highway safety problem," said Richard Blomberg, president of Dunlap and Associates Inc, in Norwalk, Coon. w.w.^w.k.&s.5*u.c.#om.... Blomberg, whose consulting company found a very high rate of alcohol involvement in a controlled study of pedestrian accidents in New Orleans, was among several researchers who spoke on the topic at the annual meeting of the Research council's Transportation Research Board(TRB) in Washington in January. Pedestrian accidents have not received enough attention in the past, according to Kay Colpitts, who chairs the board's committee on pedestrians. Few methods exist to monitor walking habits, she said, and researchers have been mystified about how to prevent disasters.
Answer: A Severe Highway Safety problem.
Output: | Which of the following would be the best title for the passage? | 3 | NIv2 | task311_race_question_generation | zs_opt | [
0.06688641756772995,
0.39843785762786865,
-0.27655211091041565,
-0.04472465068101883,
-0.1943938136100769,
-0.05964619293808937,
0.1107478141784668,
0.2783740758895874,
0.21137318015098572,
0.3409941792488098,
-0.524776816368103,
-0.007462477311491966,
-0.14814388751983643,
-0.074230253696... |
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 meronym (i.e., second entity) is in a part-of relationship with its holonym (i.e., first entity).
Q: Entity 1: cellulose
Entity 2: balloon - blood vessel
A: | no | 9 | NIv2 | task472_haspart_classification | zs_opt | [
-0.28231048583984375,
0.729248583316803,
0.6708919405937195,
-0.020507872104644775,
-0.19845013320446014,
-0.7998550534248352,
-0.026173364371061325,
0.6374565362930298,
1.0814368724822998,
-0.6694918870925903,
-0.21656295657157898,
-0.1247408539056778,
-0.060648053884506226,
0.00090259732... |
In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Example Input: Passage: Walsh first developed what would become the West Coast offense when he was offensive coordinator of the Cincinnati Bengals, working under legendary head coach Paul Brown. However, Walsh truly perfected this strategy as the head coach of the San Francisco 49ers. His teams were led by quarterback Joe Montana. Montana, who was noted for his ability to remain calm under pressure, also possessed good mobility and an accurate passing arm. Another important player in the 49ers offense was Roger Craig, a swift, speedy running back who could also catch passes out of the backfield and was a good receiver. Walsh's 49ers teams also featured several All-Pro wide receivers, including Dwight Clark, John Taylor, and Jerry Rice. The 49ers were one of the NFL's powerhouses in the 1980s and 1990s, under the guidance of head coaches Bill Walsh (1979–1988) and George Seifert (1989–1996). Walsh won three Super Bowls in the 1981, 1984 and 1988 seasons. Seifert won two Super Bowls in 1989 and 1994. Montana, Walsh and Rice are in the Pro Football Hall of Fame, and so is Montana's successor, quarterback Steve Young. Like Montana, Young was a great running quarterback and a very efficient passer.
Link Information: In the spring of 1993, at Montana's request, San Francisco traded Montana to the Kansas City Chiefs. Young was now the 49ers' undisputed starter, Question: What year did Montana's successor take over?
Example Output: Answer: 1993
Example Input: Passage: 'Robert D. Raiford (December 27, 1927 – November 17, 2017) was an American radio broadcaster and actor, best known for his political/social commentaries delivered during The John Boy and Billy Big Show, a morning radio program heard on stations throughout the American South. He was from Concord, North Carolina and majored in communication at the University of South Carolina. Raiford got his start in broadcasting in 1944 by calling play by play at baseball games. His first real radio job was at WEGO (AM) in Concord, North Carolina. Raiford has appeared in 28 movies, often portraying judge characters. He frequently closed his commentaries with the line "Who says that? I say that!", which also served as the title of a book containing excerpts from these segments. Early in his career, Raiford worked for WTOP radio and WTOP-TV, both CBS News affiliates in Washington, D.C.. His best-known work was a live radio broadcast on WTOP, a CBS Radio affiliate, covering the state funeral of President John F. Kennedy. He also worked at Charlotte radio station WBT. Raiford also hosted a show on WIST, which aired Charlotte's first telephone talk radio format. He later taught Communications at the University of North Carolina at Charlotte. From 1978 to 1986, Raiford was a news anchor and talk show host for Charlotte's NBC television affiliate. It was known as WRET-TV and then WPCQ-TV during his tenure there; it is now WCNC-TV. On the June 9, 2016, episode of The John Boy and Billy Big Show, John Isley ("John Boy") announced that Raiford had retired from the show, due to suffering a stroke the previous August that greatly affected his speech and mobility. Raiford had not delivered any commentaries during the intervening months, choosing to focus on his recovery instead.
Link Information: The University of South Carolina (USC, UofSC, SC, or simply Carolina) is a public research university in Columbia, South Carolina. Question: In what city did Raiford major in communication?
Example Output: Answer: Columbia, South Carolina
Example Input: Passage: On February 6, 2015, Paramount Pictures and New Regency announced that Robert Zemeckis was to direct an untitled World War II romantic thriller, in which Brad Pitt would star. Steven Knight wrote the original script, in development by Graham King's GK Films, which now would be produced by ImageMovers' Zemeckis and Steve Starkey along with King. On June 8, 2015, Marion Cotillard was cast to play a spy along with Pitt, who fall in love during a mission to kill a German official. In August 2015, Knight said that the film would be based on a true story told to him at the age of 21, and also that the shooting would start in January 2016. On January 28, 2016, Jared Harris joined the film. On March 8, 2016, Lizzy Caplan was cast to play Pitt's sister. Executive producers on the film would be Knight, Jack Rapke, Patrick McCormick and Denis O'Sullivan. Alan Silvestri composed the music.
Link Information: none Question: What movies did Paramount Pictures release the year they announced Allied?
Example Output: | Answer: none
| 3 | NIv2 | task238_iirc_answer_from_passage_answer_generation | fs_opt | [
0.357173353433609,
0.4114433526992798,
-0.6179912090301514,
0.24880069494247437,
0.47356367111206055,
-0.09823451936244965,
0.46041885018348694,
1.0153779983520508,
-0.23941782116889954,
0.12343969941139221,
-0.521477222442627,
0.11677543073892593,
-0.3224533200263977,
0.3025715947151184,
... |
Teacher:In this task, you are given a sentence from the Quran in English, and your task is to translate it into Persian.
Teacher: Now, understand the problem? Solve this instance: As to those who hold fast by the Book and establish regular prayer,- never shall We suffer the reward of the righteous to perish.
Student: | و آنان که به کتاب [آسمانی] چنگ میزنند [و عملا به آیاتش پای بندند] و نماز را بر پا داشتهاند [دارای پاداشند] یقینا ما پاداش اصلاح گران را ضایع نمیکنیم. | 6 | NIv2 | task656_quran_en_fa_translation | zs_opt | [
-0.39163848757743835,
1.0107061862945557,
-0.2915325164794922,
-0.8369536399841309,
-0.9061773419380188,
-0.6471843719482422,
0.8671232461929321,
0.07288580387830734,
0.30547794699668884,
-0.2057890146970749,
-0.06712231040000916,
-0.17109104990959167,
-0.9515438675880432,
0.06901816278696... |
Q: In this task, you are given an input stream, and your task is to produce a grammatically correct version of the input sentence. The input to this task is a stream of words, possibly from captions generated by a speech-to-text engine, and the output is a grammatically correct version of the input stream. Stream words are in [] and have been separated with a comma. The sentence can contain words that have case, punctuation, stem-based, intra-word, and digit punctuation errors that need to be corrected. For example, the text should be uppercased/lowercased as per necessity (like the beginning of a sentence, proper nouns, etc.), and digits need to be normalized (6 as six and so on). Note that you don't need to normalize the years. You don't need to fully edit the sentences, if end of the input stream contains sentence fragments, keep them as is.
['now', 'if', "you'll", 'remember', 'from', 'near', 'the', 'end', 'of', 'early', 'embryogenesis', "you've", 'gone', 'through', 'the', 'process', 'of', 'gastrulation', 'and', 'you', 'formed', 'your', 'three', 'primary', 'germ', 'layers', 'and', 'those', 'germ', 'layers', 'were', 'the', 'endoderm', 'the', 'mesoderm', 'and', 'the', 'ectoderm', 'and', 'the', 'cells', 'in', 'these', 'germ', 'layers', 'go', 'on', 'to', 'form', 'very', 'specific', 'structures', 'endodermal', 'cells', 'are', 'primarily', 'responsible', 'for', 'forming', 'the', 'gastrointestinal', 'tract', 'so', "I'll", 'draw', 'the', 'gastrointestinal', 'tract', 'as', 'a', 'tube', 'here', 'is', 'to', 'start', 'out', 'with', 'and', 'we', 'have', 'holes', 'at', 'one', 'end', 'and', 'at', 'the', 'other', 'so', 'the', 'lungs', 'actually', 'develop', 'from', 'the', 'upper', 'gastrointestinal', 'tract', 'and', 'of']
A: | ['now', 'if', "you'll", 'remember', 'from', 'near', 'the', 'end', 'of', 'early', 'embryogenesis,', "you've", 'gone', 'through', 'the', 'process', 'of', 'gastrulation,', 'and', "you've", 'formed', 'your', 'three', 'primary', 'germ', 'layers,', 'and', 'those', 'germ', 'layers', 'were', 'the', 'endoderm,', 'the', 'mesoderm,', 'and', 'the', 'ectoderm.', 'And', 'the', 'cells', 'in', 'these', 'germ', 'layers', 'go', 'on', 'to', 'form', 'very', 'specific', 'structures.', 'Endodermal', 'cells', 'are', 'primarily', 'responsible', 'for', 'forming', 'the', 'gastrointestinal', 'tract.', 'So,', "I'll", 'draw', 'the', 'gastrointestinal', 'tract', 'as', 'a', 'tube', 'here', 'is', 'to', 'start', 'out', 'with,', 'and', 'we', 'have', 'holes', 'at', 'one', 'end', 'and', 'at', 'the', 'other.', 'So,', 'the', 'lungs', 'actually', 'develop', 'from', 'the', 'upper', 'gastrointestinal', 'tract,', 'and,', 'of'] | 7 | NIv2 | task1415_youtube_caption_corrections_grammar_correction | zs_opt | [
0.41101449728012085,
0.15462085604667664,
0.09376560151576996,
-0.3709975481033325,
0.47250857949256897,
-0.8811995387077332,
-0.13407765328884125,
0.9018084406852722,
-0.6367537379264832,
0.37410828471183777,
-0.17720231413841248,
0.1707274466753006,
-0.4323176145553589,
-0.10081054270267... |
You are given a statement written in Kannada. 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 .
Let me give you an example: Statement: ಕೆಂಪು ಸಮುದ್ರವು ಹಿಂದೂ ಮಹಾಸಾಗರದ ಕಡಲಾಚೆಯ <MASK> ಮತ್ತು ಏಷ್ಯಾ ಖಂಡದ ನಡುವೆ ಇರುವ ಸಮುದ್ರವಾಗಿದೆ. ಬಾಬ್ ಎಲ್ ಮಾನ್ಡೆಬ್ ಮತ್ತು ಆಡೆನ್ ಕೊಲ್ಲಿ ಮೂಲಕ ದಕ್ಷಿಣದಲ್ಲಿ ಸಂಪರ್ಕವನ್ನು ಪಡೆದಿದೆ. ಉತ್ತರದಲ್ಲಿ ಸಿನಾಯ್ ಪರ್ಯಾಯದ್ವೀಪ ಅಖಾಬಾ ಕೊಲ್ಲಿ ಮತ್ತು ಸುಯೋಜ್ ಕೊಲ್ಲಿ ಸುಯೋಜ್ ಕಾಲುವೆಗೆ ಸೇರುತ್ತದೆ). ಕೆಂಪು ಸಮುದ್ರವು ಜಾಗತಿಕವಾಗಿ 200 ಪರಿಸರ ಪ್ರದೇಶವಾಗಿದೆ.
Option A: ಆಫ್ರಿಕಾವನ್ನು
Option B: ಮರುಭೂಮಿ
Option C: ಆಫ್ರಿಕಾ
Option D: ಏಷ್ಯಾ
The answer to this example can be: ಆಫ್ರಿಕಾ
Here is why: As the Red sea is located near Africa the most appropriate word to replace the <MASK> token is ಆಫ್ರಿಕಾ .
OK. solve this:
Statement: ಬ್ಯೂಕ್ಯಾನನ್ 1966 ಮತ್ತು 1968ರ ಇಡೀ ಚುನಾವಣಾ ಪ್ರಚಾರ ಕಾಲದಲ್ಲಿ ನಿಕ್ಸನ್ ರೊಡನೆ ಪ್ರಯಾಣದಲ್ಲಿ ತೊಡಗಿದ್ದರು. ಅವರು ಪಶ್ಚಿಮ ಯೂರೋಪ್ ಮತ್ತು <MASK>ದ ಪ್ರವಾಸ ಕೈಗೊಂಡದ್ದೇ ಅಲ್ಲದೆ, ಆರು-ದಿನದ ಯುದ್ಧ ಮುಗಿಯುತ್ತಿದ್ದಂತೆಯೇ ಮಧ್ಯ ಪೂರ್ವಕ್ಕೂ ಪ್ರಯಾಣ ಬೆಳೆಸಿದರು. 1969ರಲ್ಲಿ ನಿಕ್ಸನ್ ಓವಲ್ ಕಚೇರಿಯನ್ನು ಪ್ರವೇಶಿಸಿದಾಗ ಬ್ಯೂಕ್ಯಾನನ್ ನಿಕ್ಸನ್ ಹಾಗೂ ಉಪಾಧ್ಯಕ್ಷ ಸ್ಪೈರೋ ಆಗ್ನ್ಯೂರಿಗೆ ವೈಟ್ ಹೌಸ್ ನ ಸಲಹೆಗಾರರು ಹಾಗೂ ಭಾಷಣಬರಹಗಾರರಾಗಿ ಕಾರ್ಯನಿರ್ವಹಿಸಿದರು. ಬ್ಯೂಕ್ಯಾನನ್ ಮೌನ ಬಹುಸಂಖ್ಯಾತ ಎಂಬ ನುಡಿಗಟ್ಟನ್ನು ಹುಟ್ಟುಹಾಕಿ ಒಂದು ನವೀನ ಯೋಜನೆಯನ್ನು ರೂಪಿಸುವುದರ ಮೂಲಕ ಮಿಲಿಯನ್ ಗಟ್ಟಲೆ ಡೆಮೋಕ್ರಾಟ್ ಗಳನ್ನು ನಿಕ್ಸನ್ ರತ್ತ ಆಕರ್ಷಿತರಾಗುವಂತೆ ಮಾಡಿದರು; 1972ರಲ್ಲಿ ಹೊರಡಿಸಿದ ಒಂದು ಸುತ್ತೋಲೆಯಲ್ಲಿ ವೈಟ್ ಹೌಸ್ "ಅಮೆರಿಕದ ರಾಜಕೀಯದ ಆಡಳಿತಪಕ್ಷವಿರೋಧಿ ಸಂಪ್ರದಾಯ ಅಥವಾ ಸಿದ್ಧಾಂತವನ್ನು ಮತ್ತೆ ಗಳಿಸಲು ಯತ್ನಿಸಬೇಕು" ಎಂದು ಸಲಹೆಯಿತ್ತರು. ಅವರ ದೈನಂದಿನ ಕಾರ್ಯಗಳು ರಾಜಕೀಯ ತಂತ್ರಗಳ ವೃದ್ಧಿ, ಅಧ್ಯಕ್ಷರ ದೈನಂದಿನ ವಾರ್ತಾ ಸಾರಾಂಶ ಪ್ರಕಟಣೆ ಮತ್ತು ವಾರ್ತಾ ಗೋಷ್ಠಿಗಳಿಗೆ ನಿರ್ದೇಶಿಸಬೇಕಾದ ಪುಸ್ತಕಗಳನ್ನು ತಯಾರಿಸುವುದು, ಇವುಗಳನ್ನು ಒಳಗೊಂಡಿತ್ತು.
Option A: ಅಮೆರಿಕ
Option B: ಚೀನಾ
Option C: ಆಫ್ರಿಕಾ
Option D: ಕಡಲೂರು
Answer: | ಆಫ್ರಿಕಾ | 8 | NIv2 | task948_wiki_cloze_kn_multiple_choice_question_answering | fs_opt | [
0.45348912477493286,
-0.026114333420991898,
-0.6405048966407776,
-0.2529942989349365,
-0.17883393168449402,
-0.3007562756538391,
0.32093942165374756,
0.23400677740573883,
0.2552056908607483,
0.22527369856834412,
0.33862102031707764,
-0.03409459441900253,
0.052354805171489716,
-0.4478908777... |
Detailed Instructions: Given a sentence, generate what should be the most likely next statement. The next statement should be reasonable and logically correct.
Q: Her eyes meet someone's and they smile at each other warmly. She
A: | kisses his forehead then kisses her forehead. | 9 | NIv2 | task453_swag_answer_generation | zs_opt | [
0.3690788149833679,
1.145318627357483,
0.10061715543270111,
-0.6806690692901611,
0.07869571447372437,
-0.3282869756221771,
-0.18255433440208435,
-0.48081618547439575,
0.8743281960487366,
-0.08866334706544876,
0.12028509378433228,
-0.3996419906616211,
-0.08899496495723724,
-0.14415939152240... |
In this task, you will be presented with a passage, and you need to write an **implausible** answer to to fill in the place of "_". Your answer should be incorrect, but should not be out of context. Try using words that are related to the context of the passage, but are not the correct answer. Even though there exist multiple wrong answers, we only need a single wrong answer.
Paris (CNN) President Donald Trump offered a staunch defense of his eldest son Thursday, saying during a carefully worded response here that Donald Trump Jr.'s meeting with a Russian lawyer was a standard session that any political operative would have taken. "My son is a wonderful young man. He took a meeting with a Russian lawyer, not a government lawyer, but a Russian lawyer," he said alongside French President Emmanuel Macron at the ornate Élysée Palace. "It was a short meeting. It was a meeting that went very, very quickly, very fast." According to the emails released by Trump Jr. this week, the lawyer -- Natalia Veselnitskaya -- was described to Trump's son in an email as a "Russian government lawyer" with information that was part of the country's effort to help elect his father.The joint news conference featured Trump and MacronThe President last held a news conference a week ago in Warsaw
Question:Macron is eager to develop close security ties with _, but in other areas he's already emerged as a vocal critic, most notably over Trump's withdrawal from the climate accord that bears the French capital's name. | Paris | 0 | NIv2 | task303_record_incorrect_answer_generation | zs_opt | [
0.2550278902053833,
0.6274607181549072,
0.10252551734447479,
-0.18332290649414062,
-0.4006492495536804,
-0.05335260182619095,
-0.004473886918276548,
0.5996423959732056,
0.336223840713501,
0.17972241342067719,
0.2435998171567917,
0.6283681392669678,
-0.8327195644378662,
0.25276824831962585,... |
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 classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.
['piątek is the word for Friday in Polish', 'You say Friday in Polish by piątek.']
Solution: SIMILAR
Why? The classified label of this sentence is a good example since both the sentences share the same RDF structure [['Polish', 'FRIDAY_FIFTH_DAY', 'piątek']] and are essentially conveying the same thing.
New input: ['Massimo Drago plays for A.C. Cesena.', 'A.C. Cesena is in the Massimo Drago club.']
Solution: | DISSIMILAR | 0 | NIv2 | task1408_dart_similarity_classification | fs_opt | [
-0.12635961174964905,
0.19355110824108124,
-0.30581390857696533,
0.2727699279785156,
-0.058845095336437225,
-0.603591799736023,
1.2623515129089355,
-0.047861069440841675,
-0.09899706393480301,
-0.029313774779438972,
-0.7602770328521729,
0.3292243182659149,
-0.23007707297801971,
0.432910561... |
Part 1. Definition
In this task, you will be presented with a text and a pronoun. You should write an implausible answer to the question of what is the pronoun's reference. Even though there exist multiple wrong answers, we only need a single wrong answer. Position of the pronoun in the text is showed within two "_"s.
Part 2. Example
He grew up in Evanston, Illinois the second oldest of five children including his brothers, Fred and Gordon and sisters, Marge (Peppy) and Marilyn. His high school days were spent at New Trier High School in Winnetka, Illinois. MacKenzie studied with Bernard Leach from 1949 to 1952. _His_ simple, wheel-thrown functional pottery is heavily influenced by the oriental aesthetic of Shoji Hamada and Kanjiro Kawai. <sep>, Pronoun: His
Answer: Bernard Leach
Explanation: Based on the text, his refers to MacKenzie and Bernard Leach is a good incorrect answer.
Part 3. Exercise
Princess Elizabeth of Sweden, (also Elisabet Gustavsdotter Vasa; 5 April 1549 Kungsor, Sweden- 20 November 1597 Stockholm), was a Swedish princess and a duchess consort of Mecklenburg - Gadebusch. She was a daughter of King Gustav Vasa of Sweden and his second spouse, Queen Margaret. In contrast to her older sister Sofia Vasa, who was described as the most unhappy of the children of Gustav Vasa, Princess Elizabeth has been described as the happiest; _she_ seemed to have a cheerful and placid personality. <sep>, Pronoun: she
Answer: | Sofia Vasa | 7 | NIv2 | task331_gap_incorrect_answer_generation | fs_opt | [
0.3023161292076111,
0.5790696740150452,
0.1303490698337555,
-0.6660836338996887,
0.29327237606048584,
-0.15098902583122253,
0.7071811556816101,
0.6362264156341553,
0.7259629964828491,
-0.15089698135852814,
-0.3364447355270386,
0.4200700521469116,
-0.2998034358024597,
-0.3088029623031616,
... |
Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.
Input: Person1: You must be feeling terrible for Mary .
Person2:Yes , she's been like this for two weeks .
Person1: I'm worried that she can't catch up with her class .
Person2:So am I.The doctor says she'll get over in a month .
Output: | informal | 2 | NIv2 | task1533_daily_dialog_formal_classification | zs_opt | [
-0.6253875494003296,
0.3865633010864258,
0.09148367494344711,
-0.5388755798339844,
-0.29996922612190247,
-0.17742186784744263,
0.9981926083564758,
-0.2962169647216797,
0.31959500908851624,
-0.21725831925868988,
-0.4092201590538025,
-0.3550191819667816,
-0.1862451583147049,
0.65563774108886... |
Detailed Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Problem:The beginning of 2020 brought us information about the novel coronavirus emerging in China. 39 Rapid research resulted in the characterization of the pathogen, which appeared to be a member 40 of the SARS-like cluster, commonly seen in bats. Despite the global and local efforts, the virus 41 escaped the healthcare measures and rapidly spread in China and later globally, officially 42 causing a pandemic and global crisis in March 2020. At present, different scenarios are being 43 written to contain the virus, but the development of novel anticoronavirals for all highly 44 pathogenic coronaviruses remains the major challenge. Here, we describe the antiviral activity 45 of previously developed by us HTCC compound (N-(2-hydroxypropyl)-3-trimethylammonium 46 chitosan chloride), which may be used as potential inhibitor of currently circulating highly 47 pathogenic coronaviruses -SARS-CoV-2 and MERS-CoV. : bioRxiv preprint 65 pneumocytes in human airways, hijacking the angiotensin-converting enzyme 2 (ACE2) to 66 enter the cell, similarly as SARS-CoV and HCoV-NL63. 67 MERS-CoV is related to SARS-CoV-2, but together with some bat viruses forms 68 a separate Merbecovirus subgenus. Bats are believed to serve as an original reservoir also in 69 this case 10 , but camels were identified as the intermediate host 11 . The virus never fully crossed 70 the species border, as the human-to-human transmission is limited, and almost all the cases are 71 associated with animal-to-human transmission. The entry receptor for MERS-CoV is the 72 dipeptidyl peptidase 4 (DPP4) 12,13 . In humans, MERS-CoV causes a respiratory illness with 73 author/funder. All rights reserved. No reuse allowed without permission.
Solution: | HTCC as a highly effective polymeric inhibitor of SARS-CoV-2 and MERS-CoV 2 3 | 8 | NIv2 | task1161_coda19_title_generation | zs_opt | [
0.8031147122383118,
0.22791340947151184,
-0.6864902973175049,
0.3340437114238739,
0.5077497363090515,
-0.19035090506076813,
-0.5569061636924744,
0.8364576697349548,
0.020835915580391884,
0.09008476138114929,
-0.6614310145378113,
0.6086796522140503,
0.27163222432136536,
-0.03323978930711746... |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is a part, portion, or makeup of the Tail or not. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
PROBLEM: Head: PersonX applies sunscreen<sep>Tail: shivers from the cold cream
SOLUTION: No
PROBLEM: Head: thermostat<sep>Tail: bimetallic strip
SOLUTION: Yes
PROBLEM: Head: animal<sep>Tail: head
SOLUTION: | Yes
| 8 | NIv2 | task1210_atomic_classification_madeupof | fs_opt | [
0.4810485243797302,
0.3321804404258728,
-0.2660071849822998,
-0.12776964902877808,
-0.6792001724243164,
-1.0866214036941528,
1.0027012825012207,
0.7734286785125732,
-0.45282143354415894,
-0.4038817882537842,
-0.2696472704410553,
-0.3018648028373718,
-0.6964476108551025,
0.12404029071331024... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX begs for food<sep>Tail: is given money
A: No
****
Q: Head: PersonX asks PersonY to make<sep>Tail: support
A: No
****
Q: Head: PersonX makes PersonX's friends laugh<sep>Tail: compliment
A: | Yes
****
| 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.5567840337753296,
-0.30092698335647583,
0.32731199264526367,
0.07515984028577805,
-0.1535639464855194,
-1.1830081939697266,
1.4239401817321777,
0.7790943384170532,
-1.169081687927246,
-0.43195050954818726,
-0.27571260929107666,
-0.8633320331573486,
-0.7668371200561523,
0.2559751272201538... |
Definition: In this task, your goal is to judge a correct answer to a given question based on an associated paragraph and decide if it is a good correct answer or not. A good correct answer is one that correctly and completely answers the question. A bad correct answer addresses the question only partially or incorrectly. If you think the given correct answer is good, indicate it by responding "Yes". Otherwise, respond "No". There are only two types of responses possible: "Yes" and "No".
Input: Paragraph- Sent 1: The Ghost Inside tells the story of a young mother , Lin Xiaoyue , who flees an abusive husband , taking their young daughter with her .
Sent 2: She rents an apartment in a new apartment block but soon regrets the move as a neighbor tells her the apartment is haunted by the spirit of a young mother who threw her daughter out of the window before jumping to her death herself .
Sent 3: A series of strange occurrences convince Lin there really is a ghost before the spirit finally reveals herself to Lin .
Sent 4: The ghost tells Lin she too will one day committed murder\/suicide in the same fashion .
Sent 5: Lin finds some solace in the company of a male neighbor who helps fend off Lin 's husband when he finally manages to track Lin and his daughter down .
Sent 6: But something about this neighbor and several other inhabitants of the building does n't seem right .
Sent 7: When Lin 's husband shows up at the apartment late one night with two goons intent on taking his daughter back by force , Lin finds herself standing on her balcony , under encouragement from the ghost , considering whether or not to throw her daughter and herself off to stop her abusive husband from parting her from her daughter .
Sent 8: The police arrive and Lin is committed to a psychiatric institute .
Question: In the end of the story what happen to Lin?
Correct Answer: She was committed into a psych ward.
Output: | Yes. | 2 | NIv2 | task056_multirc_classify_correct_answer | zs_opt | [
0.020196354016661644,
0.4599928855895996,
-0.5491055846214294,
0.06740725785493851,
0.07857447862625122,
-0.6346929669380188,
0.6566042304039001,
0.42062416672706604,
0.3702412247657776,
0.4352368414402008,
-0.39706337451934814,
1.307909369468689,
-0.888767659664154,
0.41899311542510986,
... |
You are asked to create a question containing a blank (_), based on the given context word. Your question must contain two related but different objects; for example "trophy" and "suitcase". The expected answer to your question must be one of the objects present in the sentence. The expected answer must not be associated with any specific word in the question; instead it should depend on the context present in the question. The expected answer should not be equally likely to fill the blank. For your question, there should be a agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use animals or proper nouns (e.g., New York, Macbook, Jeff Bezos, McDonald's, ...) as your objects. Avoid repeating the same style, pattern or phrases in each question, try to increase diversity by varying sentence structure, blank placement etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Object X and Y have the same number e.g. when ObjectX is singular, Object Y must be singular, too. The two objects (Object X & Object Y) should be used ONCE in your question. Here is a list of attributes and associated pair of contrastive words which may be used to create a valid question using the objects. You can use either of the contrastive words, but not both. You should think about more such attributes and associated words and use them in your question.
| Attribute | triggerword | contrastive triggerword |
| age | old | new |
| altitude | low | high |
| area | small | vast |
| brightness | dark | light |
| clarity | obscure | clear |
| cleanness | dirty | clean |
| complexity | simple | complex |
| cost | cheap | expensive |
| density | sparse | dense |
| depth | shallow | deep |
| distance | near | far |
| electric conductivity | low | high |
| flexibility | rigid | flexible |
| granularity | fine | coarse |
| hardness | soft | hard |
| length | short | long |
| magnitude | small | large |
| mass | small | large |
| odor | weak | strong |
| pressure | low | high |
| resistance | low | high |
| shape | round | sharp |
| shape | flat | spiky |
| size | small | large |
| sound | quiet | loud |
| sound pitch | low | high |
| speed | slow | fast |
| stability | unstable | stable |
| strength | weak | strong |
| temperature | low | high |
| texture | smooth | rough |
| thermal conductivity | low | high |
| thickness | thin | thick |
| volume | small | large |
| weight | light | heavy |
| width | narrow | wide |
| location | in | out |
| location | up | down |
| location | above | below |
| location | on | off |
| location | to | from |
Context Word: homework schedule. | Joey wanted to create a homework schedule so he bought software and created a list of items but the _ was not enough. | 0 | NIv2 | task031_winogrande_question_generation_object | zs_opt | [
0.8092393279075623,
0.5408061742782593,
0.33824366331100464,
0.28294265270233154,
0.5074960589408875,
-0.8083767890930176,
0.437039852142334,
1.1823818683624268,
-0.34577709436416626,
-0.649868905544281,
-0.3810400664806366,
0.14017556607723236,
-0.2862522304058075,
-0.005542967468500137,
... |
instruction:
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
question:
E disse: "" Não sei como vou pagar a educação dela.
answer:
He said, "" I don't know how I'm going to pay for her education.
question:
O que causou o desmoronamento?
answer:
What caused it?
question:
Mas eu duvidava que, se estivessem sozinhas numa ilha deserta, elas escolheriam gastar assim o seu tempo.
answer:
| Though, I kind of wondered if left alone on a desert island, if this was how they would choose to spend their time.
| 9 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
-0.14377035200595856,
0.8254691362380981,
0.539204478263855,
-0.9682095050811768,
-0.5468636751174927,
-0.837037205696106,
-0.08229227364063263,
1.1775791645050049,
0.3059537410736084,
-0.19381114840507507,
0.3980407118797302,
-0.3106670379638672,
-1.2379909753799438,
-0.48424094915390015,... |
Q: In this task, you're given five sentences, numbered 1 through 5, and two options a and b for possible titles for the story. Your job is to choose the title that better fits the story. Indicate your choice by 'a' or 'b'.
Sentence 1: I went online searching for the mickey doll I had found. Sentence 2: I located a very similar one from the 1940s. Sentence 3: I couldn't believe I'd found it in such great condition. Sentence 4: I cleaned it up and put it on display. Sentence 5: I've received several offers, but accepted none. Choices: a. Mickey 2. b. Coach.
A: | a | 7 | NIv2 | task220_rocstories_title_classification | zs_opt | [
-0.4902486801147461,
-0.16010403633117676,
-0.2833143174648285,
-0.07120022922754288,
-0.09883078932762146,
0.24662835896015167,
0.3347816467285156,
0.8141920566558838,
0.6193439960479736,
-0.426128625869751,
-0.7627451419830322,
-0.5723506808280945,
-0.25717848539352417,
0.256276369094848... |
Write an incorrect answer to the given question based on the associated fact. You are also provided with the correct answer to the given question. Make sure that your incorrect answer is relevant and similar to the associated fact. Also, try to make the incorrect answer similar to the correct answer so that distinguishing the correct answer from the incorrect answer is not very easy. Make sure you don't accidentally provide another correct answer! Also, make sure they sound reasonable (e.g., might be on a school pop quiz). A good incorrect answer can be constructed using words associated with the question, but not the correct answer. For example, for the question "What helps plants survive?", using words like "weeds", "vase", "bee" (associated with "plant"), or "first aid", "parachute", "accident" (associated with "survive") etc. Your incorrect answers make the question hard, so these results in good incorrect answers.
Q: Fact: Petals attract bees to flowers.
Question: Petals attract animals such as bees to what part of a producer?
Correct Answer: flowers.
A: | buds. | 4 | NIv2 | task042_qasc_incorrect_option_generation | zs_opt | [
0.03387515991926193,
1.2493512630462646,
-0.39327776432037354,
0.4077873229980469,
-0.4845327138900757,
-1.1722798347473145,
0.4656158983707428,
0.6524783968925476,
-0.35483813285827637,
0.08649951219558716,
-1.3517413139343262,
0.32713842391967773,
-0.5301240086555481,
0.6485996842384338,... |
Definition: 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 incorrect.
Input: What is the stored food in a seed called?
Output: | pollin | 2 | NIv2 | task592_sciq_incorrect_answer_generation | zs_opt | [
-0.02091064304113388,
0.7201404571533203,
-0.051257453858852386,
-0.016198214143514633,
-0.5566432476043701,
-0.6472228765487671,
-0.4654902219772339,
0.2981152832508087,
-0.26961520314216614,
-0.5194710493087769,
-0.7576731443405151,
-0.08866646140813828,
-0.9481250047683716,
0.2325855493... |
Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').
Q: Angiosperms do as a rule contain ____ strands of vascular bundles.\Question: Choose the right answer from options given a) six b) five c) zero d) nine
A: | b | 4 | NIv2 | task1360_numer_sense_multiple_choice_qa_generation | zs_opt | [
-0.24453485012054443,
0.019317304715514183,
-0.45771265029907227,
0.02190576121211052,
-0.669558048248291,
-0.4095669984817505,
0.14714068174362183,
0.9432183504104614,
-0.517254114151001,
-0.0015257535269483924,
-0.10992034524679184,
-0.4697757959365845,
-0.43160003423690796,
0.2448079884... |
Detailed Instructions: 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.
Q: પ્રધાનમંત્રી શ્રી નરેન્દ્ર મોદી આંતરરાષ્ટ્રીય મહિલા દિવસનાં પ્રસંગે આજે વારાણસીનાં દીનદયાળ હસ્તકળા સંકુલમાં આયોજિત રાષ્ટ્રીય મહિલા આજીવિકા સંમેલન – 201માં સામેલ થયાં હતાં.
A: | आंतरराष्ट्रीय महिला दिनी उत्तर प्रदेशातल्या वाराणसी येथील दीनदयाळ हस्तकला संकुलात झालेल्या राष्ट्रीय महिला उपजिविका मेळा 2019 ला पंतप्रधान नरेंद्र मोदी उपस्थित होते. | 9 | NIv2 | task983_pib_translation_gujarati_marathi | zs_opt | [
0.1656549572944641,
-0.12489224970340729,
-0.039053209125995636,
0.011024677194654942,
0.13485102355480194,
-1.6060645580291748,
0.32863539457321167,
-0.36374688148498535,
-0.13817405700683594,
0.4380912184715271,
-0.8437793254852295,
0.011245844885706902,
-0.3024607300758362,
0.3721516728... |
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 types: "span", "date", "number". A "span" answer is a continuous phrase taken directly from the passage or question. You can directly copy-paste the text from the passage or the question for span type answers. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words. A "number" type answer can include a digit specifying an actual value. For "date" type answers, use DD MM YYYY format e.g. 11 Jan 1992. If full date is not available in the passage you can write partial date such as 1992 or Jan 1992. If you find multiple spans, please add them all as a comma separated list. Please restrict each span to five words.
Passage: Trying to snap a two-game skid, the Falcons flew to the Louisiana Superdome for a Week 7 divisional duel with the New Orleans Saints. Due to QB Joey Harrington's ineffectiveness from last week's loss to the Giants, QB Byron Leftwich was given the start. In the first quarter, Atlanta trailed early as Saints QB Drew Brees completed a 37-yard TD pass to WR Devery Henderson. The Falcons responded with former Saints kicker Morten Andersen's 38-yard field goal. In the second quarter, Atlanta began to play well as Andersen got a 33-yard field goal, while Leftwich completed a 9-yard TD pass to WR Roddy White. In the third quarter, New Orleans retook the lead with RB Pierre Thomas getting a 24-yard TD run. On the Falcons' next possession, Leftwich's left leg got injured during a sack by Saints DE Will Smith. Harrington took over for the rest of the game. In the fourth quarter, Andersen gave Atlanta a 21-yard field goal. The Saints sealed the win with Brees hooking up with RB Reggie Bush on a 4-yard TD pass, along with Bush's 2-point conversion run. With their third-straight loss, the Falcons entered their bye week at 1-6.
Question: How many yards were accumulated on the two longest scoring plays?
Answer type: Number
61.
Passage: After a disappointing loss to Seattle the Patriots traveled to Santa Clara, CA to face Tom Brady's childhood team, the San Francisco 49ers, who were on an eight-game losing streak. This was also the first time Brady played the 49ers in San Francisco, as he missed the Patriots' trip to Candlestick Park in 2008 as a result of an injury. After a 49ers three-and-out, Amendola returned the punt 30 yards to the 49ers 27. Six plays later, Brady hit Edelman on a 7-yard touchdown pass, but Gostkowski missed the extra point. The 49ers drove all the way to the Patriots 6 on their next drive, but Hightower sacked Colin Kaepernick for a 9-yard loss on 3rd-down and they were forced to settle for a 33-yard field goal by Phil Dawson. The Patriots countered on their next drive, racing 77 yards in just 6 plays, scoring on Brady's 9-yard touchdown pass to James White, increasing the lead to 13-3. Two possessions later, the 49ers raced 92 yards in just over four minutes, scoring on an 18-yard touchdown catch by Vance McDonald, trimming the deficit to 13-10. After both teams punted, the Patriots drove to the 49ers 41, but White couldn't get out of bounds in time after a 25-yard catch, and the Patriots led 13-10 at halftime. After the first four possessions of the second half ended in punts, the Patriots marched 80 yards in 10 plays, scoring on Brady's 5-yard connection to Amendola, increasing the lead to 20-10. Three possessions later, Brady found Mitchell for a 56-yard touchdown pass as Brady was falling down, capping off a 70-yard drive, upping the lead to 27-10. After a 49ers three-and-out, the Patriots kept pouring it on, driving all the way to the 49ers 20, and Gostkowski added a 38-yard field goal, widening the lead to 30-10. The Niners marched 75 yards on their next drive, scoring on Kaepernick's 13-yard touchdown pass to Shaun Draughn, trimming the deficit to 30-17. Amendola recovered the ensuing onside kick and the Patriots ran out the rest of the clock to end the game. The Patriots improved to 8-2. Running back LeGarrette Blount had a big day as he rushed for a total of 125 yards on 19 carries. In addition, Tom Brady also had a big day passing for a total of 4 touchdowns against the 49ers. This was also Brady's 199th career win (regular season and postseason combined), tied with Brett Favre for second place.
Question: How many points was the point differential between both teams?
Answer type: Number
13.
Passage: Coming off their win over the Jaguars the Colts flew to Oakland-Alameda County Coliseum for an AFC duel with the Raiders. In the first quarter the Colts trailed immediately after a 99-yard kickoff return was made by Jacoby Ford. They soon took the lead with RB Joseph Addai getting a 6-yard TD run, followed by kicker Adam Vinatieri getting a 30-yard field goal. They trailed again after kicker Sebastian Janikowski hit a 59 and a 38-yard field goal, but responded to take the lead back with QB Peyton Manning completing an 18-yard TD pass to TE Jacob Tamme. The lead was narrowed with Janikowski nailing a 51-yard field goal, but the Colts extended their lead with Manning getting a 4-yard TD pass to WR Blair White. The Raiders tried to keep up with Janikowski making a 45-yard field goal, but the Colts kept going with Manning completing a 7-yard TD pass to WR Pierre Garçon. The Raiders tried to come back after QB Jason Campbell threw a 6-yard TD pass to TE Zach Miller, but Manning ran for a first down on the Colts ensuing possession to seal the game.
Question: How many yards was the second longest field goal?
Answer type: Number
| 51.
| 0 | NIv2 | task028_drop_answer_generation | fs_opt | [
1.0091099739074707,
0.5155131816864014,
-0.6748380064964294,
-0.23480387032032013,
0.11070908606052399,
-0.51456218957901,
0.5985944271087646,
0.5487043857574463,
0.20943161845207214,
-0.09836087375879288,
-0.7043690085411072,
0.9901784062385559,
-0.711861789226532,
0.2871961295604706,
-... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
--------
Question: Po rozkopaniu gniazda widać, że jego głębokość jest zbliżona do średnicy - ok. 1 metra dla dojrzałych gniazd.
Answer: And when we dig up nests we find they're about as deep as the colony is wide, so about a meter deep for the big old nests.
Question: Zrobiłem eksperyment. Na stronie Międzynarodowego Funduszu Walutowego
Answer: I did a little experiment. I went to the IMF, International Monetary Fund, website.
Question: Członkowie Sądu Najwyższego zmagali się z tym problemem.
Answer: | And the Supreme Court justices wrestled with that question.
| 7 | NIv2 | task1256_ted_translation_pl_en | fs_opt | [
-0.05833381414413452,
-0.08494607359170914,
-0.19077832996845245,
-0.5871667861938477,
0.2845538258552551,
-0.40769219398498535,
1.2875527143478394,
-0.4683895707130432,
-0.43540406227111816,
-0.09802572429180145,
-0.08393661677837372,
0.24482518434524536,
-1.3545658588409424,
0.2952462434... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Question: What may happen before I called them?
Correct answer: I found the money was charged but I have not got shoes.
Solution: I found the shoes were still on the way after several days.
Why? Excellent incorrect answer: as it includes topically relevant words while still being incorrect.
New input: Context: It was like the world did n't care that I was doing my best to think about all the implications of death and how weird it was that this guy 's mother , like the body he came from , was decomposing beneath us . That ant still needed to find food and that bird still needed to build its nest and Ben and I still needed to breathe . After either a minute or an hour , Ben stood up .
Question: Why is the narrator contemplating the implications of death ?
Correct Answer: Ben 's mother had recently died .
Solution: | He needed to catch his breath and breathe . | 0 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
0.4483511447906494,
0.4665982723236084,
0.13625997304916382,
0.8919692039489746,
0.24540194869041443,
-0.6062923073768616,
0.6841200590133667,
0.9207773208618164,
-0.626665472984314,
-0.21407970786094666,
-0.6414629817008972,
-0.4028393030166626,
-0.29061925411224365,
0.28553879261016846,
... |
Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.
See one example below:
Problem: "" Nessun uomo è un'isola completamente a sé.
Solution: "" אף אדם אינו אי העומד בפני עצמו.
Explanation: The Italian sentence is correctly translated into Hebrew, because the meaning is preserved.
Problem: Ecco mio padre a 19 anni.
Solution: | הנה אבי בגיל 19. | 4 | NIv2 | task1251_ted_translation_it_he | fs_opt | [
-0.10712017118930817,
0.5227279663085938,
-0.3452684283256531,
-0.3924846053123474,
-0.5994120836257935,
-0.7372843623161316,
1.154388189315796,
0.36739617586135864,
0.4508327841758728,
-0.2221299409866333,
-0.8536951541900635,
0.6057223677635193,
-1.4619123935699463,
0.3680124878883362,
... |
Definition: In this task, you're given the title and three arbitrary sentences out of a five-sentence story. You are also given three additional sentence options, a, b, and c, that may or may not belong to the story. Your job is to pick the two options that seamlessly connect with the rest of the story and their positions in the sentence order of the story; note that the selected choices may fit into the story at any point. Your answer must be in the form of '2a, 5b', where '2a' means the candidate sentence 'a' will be inserted as the 2nd sentence in the story. The answer must also be in the order of the selected choices, i.e., '2a, 5b' is allowed, and '5b, 2a' is not allowed. If options are equally plausible, pick the ones that make more sense.
Input: Title: The house looked like a good choice for the family. The house was older but well-maintained. There was not a single closet in the entire house. Choices: a. There were plenty of bedrooms for the five of them. b. Sadly, a seller signed the wrong form and closing was rescheduled. c. They only found one thing that they did not like.
Output: | 2a, 4c | 2 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
0.03117244876921177,
0.03129342943429947,
0.11158917844295502,
0.5499862432479858,
0.4949602782726288,
0.06067509949207306,
0.18491211533546448,
1.149971604347229,
-0.22726547718048096,
0.24530930817127228,
-0.5131930112838745,
-0.20408543944358826,
0.19292522966861725,
-0.4126681089401245... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
[9, 40, -33, 12, 17, -32, 40]
Solution: 0
Reason: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Now, solve this instance: [-69, 7, -65, 82, -8, -34, 58, -88, -95, 96]
Student: | 4 | 2 | NIv2 | task1445_closest_integers | fs_opt | [
-0.8267203569412231,
0.22365789115428925,
0.1291687935590744,
-0.1286173015832901,
-0.0663004070520401,
-0.5558261871337891,
0.4481440782546997,
0.3116961121559143,
0.14944079518318176,
-0.2903204560279846,
-0.14204637706279755,
-0.37071090936660767,
-0.7326664328575134,
-0.265839755535125... |
Detailed Instructions: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: ஏப்ரல் 10-ஆம் தேதி நடைபெற்ற சம்பாரன் கொண்டாட்டத்தின்போது பீகாரில் கழிவறை இயக்கம் உத்வேகம் பெற்றது
A: | چمپارن تقریبات کے پیش نظر بہار میں ٹوائلٹ مہم تیز کی گئی | 9 | NIv2 | task1035_pib_translation_tamil_urdu | zs_opt | [
0.5606706142425537,
0.5576763153076172,
-1.2185380458831787,
0.06411441415548325,
-0.6097241640090942,
-0.4382731318473816,
-0.4587540030479431,
0.164528489112854,
-0.480831116437912,
0.5933705568313599,
0.450501948595047,
0.24094057083129883,
-0.016691315919160843,
0.028475096449255943,
... |
In this task the focus is on physical knowledge about the world. Given the provided goal task in the input, describe a process that would lead to the asked outcome. This process often involves physical motions with objects, such as moving them, arranging them in a certain way, mixing them, shaking them, etc.
To seal egg rolls when you are a vegan,
use a bit of water on the ends.
How to reuse an ink pen if the ink runs out?
Refill the ink in the pen's catridge.
Where can I see dolphins
| Seaworld has lots of dolphins to look at
| 0 | NIv2 | task080_piqa_answer_generation | fs_opt | [
-0.22625216841697693,
0.3469575047492981,
-0.1093207448720932,
-0.023331202566623688,
-0.6691877245903015,
-0.3979759216308594,
-0.5798606872558594,
-0.1694246232509613,
-0.27973949909210205,
-0.07552673667669296,
0.04050946608185768,
0.32187843322753906,
-0.2819487750530243,
0.13317030668... |
Given the task definition and input, reply with output. You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.
Context : Luis de Florez (March 4, 1889 − November, 1962) was a naval aviator and a Rear Admiral in the United States Navy that was actively involved in experimental aerospace development projects for the United States Government.
Subject : Luis de Florez
Relation : date of death
| When did the life of Luis de Florez end? | 5 | NIv2 | task1325_qa_zre_question_generation_on_subject_relation | zs_opt | [
-0.522907018661499,
0.8911870718002319,
-0.08174628019332886,
-0.2423703968524933,
-0.21466025710105896,
0.512442946434021,
0.2756432294845581,
0.10959917306900024,
-0.23406842350959778,
-0.0722324475646019,
-0.8982928991317749,
0.14826276898384094,
-0.2646135687828064,
0.48057496547698975... |
Given a passage, 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 questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
One example: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).
Solution is here: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?
Explanation: The question is based on the following sentences from the passage (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) They were also associated with increased blood eosinophilia
Now, solve this: Hif1p is an H3/H4-specific histone chaperone that associates with the nuclear form of the Hat1p/Hat2p complex (NuB4 complex) in the yeast Saccharomyces cerevisiae. While not capable of depositing histones onto DNA on its own, Hif1p can act in conjunction with a yeast cytosolic extract to assemble nucleosomes onto a relaxed circular plasmid.', 'To identify the factor(s) that function with Hif1p to carry out chromatin assembly, multiple steps of column chromatography were carried out to fractionate the yeast cytosolic extract. Analysis of partially purified fractions indicated that Hif1p-dependent chromatin assembly activity resided in RNA rather than protein. Fractionation of isolated RNA indicated that the chromatin assembly activity did not simply purify with bulk RNA. In addition, the RNA-mediated chromatin assembly activity was blocked by mutations in the human homolog of Hif1p, sNASP, that prevent the association of this histone chaperone with histone H3 and H4 without altering its electrostatic properties.
Solution: | Does the yeast histone chaperone hif1p function with RNA in nucleosome assembly? | 6 | NIv2 | task847_pubmedqa_question_generation | fs_opt | [
0.36634039878845215,
0.14623934030532837,
-0.1577840894460678,
-0.0862584263086319,
0.636875569820404,
-0.5607339143753052,
0.2950497567653656,
0.6722047328948975,
-0.3078642189502716,
0.009554022923111916,
-0.4448835849761963,
0.019404500722885132,
-0.8874577283859253,
0.47449684143066406... |
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.
Example input: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட்டம் செயல்படுத்தப்படுகிறது
Example output: फार्म की रक्षा के लिए प्रधान मंत्री की फसल बीमा योजना लागू की जाती है
Example explanation: Correct translation for given sentence. Input sentence means 'The Prime Minister's Crop Insurance Plan is implemented to protect the farm' which is the same as the output sentence.
Q: நேற்றிரவு மக்களவையில், வரலாற்றுச் சிறப்பு வாய்ந்த மசோதா ஒன்றை நிறைவேற்றியதற்காக, சோலாப்பூர் மண்ணிலிருந்து ஒட்டுமொத்த நாட்டையும் பாராட்ட விரும்புகிறேன்.
A: | इन योजनाओं पर विस्तार पर बात करने से पहले आज मैं सोलापुर की इस धरती से पूरे देश को भी बधाई देना चाहता हूं। | 3 | NIv2 | task994_pib_translation_tamil_hindi | fs_opt | [
-0.3522953391075134,
0.5488451719284058,
0.22911138832569122,
-0.11487479507923126,
0.21647310256958008,
-1.4691145420074463,
0.3367706537246704,
0.5583797097206116,
-0.7536391019821167,
0.37884727120399475,
-0.7594171166419983,
-0.27583572268486023,
-0.1473507583141327,
0.2872397005558014... |
In this task, you're given a review from Amazon's food products. Your task is to generate a short summary of the given review in the input. Note that you don't need to write a complete sentence as a summary.
Example: I have bought several of the Vitality canned dog food products and have found them all to be of good quality. The product looks more like a stew than a processed meat and it smells better. My Labrador is finicky and she appreciates this product better than most.
Example solution: Good Quality Dog Food
Example explanation: The customer talked about dog food which was good. So, it's a correct summary.
Problem: I love this product and order it frequently. Usually it arrives in a timely manner and in good condition. When I opened this last shipment I found some hemp seed scattered throughout the box. I carefully removed the first of two pouches and found a 1" rip in the middle of the front of the bag. Most of the product was still in the pouch and appeared fresh and undamaged so I transferred it to a container. The other pouch was intact. I hope this is a one-time occurrence, and I will be ordering this again when I need more. More care needs to be taken to assure that the pouches are handled properly and that they are all in good condition when packed.
| Solution: Pouch was ripped | 5 | NIv2 | task589_amazonfood_summary_text_generation | fs_opt | [
-0.4038754105567932,
-0.16401852667331696,
0.02570764161646366,
-0.32997632026672363,
-0.19947567582130432,
-0.6092628836631775,
0.5456217527389526,
0.9100157022476196,
-0.42656058073043823,
0.1270269751548767,
-0.15204714238643646,
0.40679460763931274,
-1.1151254177093506,
-0.077324800193... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
[Q]: However , treatment with APN-specific antibody and inhibitors did not completely block PDCoV infection in IPI-2I porcine intestinal epithelial cells.
[A]: finding
[Q]: while the least stable genes failed to do so.
[A]: finding
[Q]: No specifi c drug treatment exists for MERS and infection prevention and control measures are crucial to prevent spread in health-care facilities.
[A]: | background
| 5 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.6353203058242798,
0.4190247356891632,
-0.18169540166854858,
0.13263019919395447,
-0.40264996886253357,
-0.20101556181907654,
0.3326195180416107,
0.8213015794754028,
0.6829278469085693,
0.2633383572101593,
-1.0715367794036865,
0.25715184211730957,
-0.14568762481212616,
0.0916860252618789... |
In this task, the input is a set of dialogues between a user and an assistant. You need to find the dialogue that is basically a response given to a question or an aspect of the user.
[Q]: That's great to know. What should I know about its etymology?
Unfortunately, I currently do not have information on Ladakh's etmology, but can give you more information on demographic. Inspite of the many languages and dialects spoken there administrative and education work are done in English and land and police records are maintained in Urdu.
I need to learn more about Ladakh please. What do you know?
Interesting. Is there any other information you think I should know about Lakadh today?
Recently, activist have call for Ladakh to be made a union territory because of its religious and cultural differences with Kashmir, which is mostly Muslim. The annual average population growth rate from 1981 to 2001 was 2.75%. It is the least populated area in the region.
[A]: Recently, activist have call for Ladakh to be made a union territory because of its religious and cultural differences with Kashmir, which is mostly Muslim. The annual average population growth rate from 1981 to 2001 was 2.75%. It is the least populated area in the region.
[Q]: tadzhikistan is the most common alternate spelling and is widely used in English literature
Hi!
Anything else you can share with me about Tajikistan
What can you tell me about Tajikistan?
Thanks for that info, anything you can tell me about the etymology?
[A]: tadzhikistan is the most common alternate spelling and is widely used in English literature
[Q]: Wow - you have provided me with more than enough information on that topic. I really appreciate that. Could you now enlighten me on the governance of Queensland?
You have been more than helpful this evening. I really appreciate your knowledge. Thank you and have a wonderful night!!
Very good information! Any additional facts about the universities before we switch topics?
Perfect! Speaking of Universities, could you share more facts and information regarding their universities?
I sure can! In 1992, the central Queensland University and University of Southern Queensland gained university status from previously operating and Institutes of Technologies, and the new University of the Sunshine Coast was established in 1994. The state's first university, the University of Queensland, was established in 1909.
[A]: | I sure can! In 1992, the central Queensland University and University of Southern Queensland gained university status from previously operating and Institutes of Technologies, and the new University of the Sunshine Coast was established in 1994. The state's first university, the University of Queensland, was established in 1909.
| 5 | NIv2 | task576_curiosity_dialogs_answer_generation | fs_opt | [
0.18679921329021454,
0.4795452952384949,
-0.14051933586597443,
-1.3228260278701782,
-0.19173620641231537,
-0.2008899748325348,
0.706934928894043,
0.42137476801872253,
-0.6761833429336548,
-0.25639283657073975,
-0.06627721339464188,
-0.02494990825653076,
-0.9038302302360535,
0.5556389689445... |
Given an adjective, generate its antonym. An antonym of a word is a word opposite in meaning to it.
[Q]: inglorious
[A]: glorious
[Q]: present
[A]: absent
[Q]: articulate
[A]: | inarticulate
| 5 | NIv2 | task1508_wordnet_antonyms | fs_opt | [
0.25974828004837036,
1.7504277229309082,
1.0231133699417114,
-0.4791734218597412,
-0.7242227792739868,
-1.0424575805664062,
-0.2702254056930542,
0.1348152756690979,
0.6271408200263977,
-0.6244722604751587,
-0.6604107618331909,
-0.3867497444152832,
-1.3235416412353516,
0.09134265035390854,
... |
Given the task definition, example input & output, solve the new input case.
Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Example: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Question: What may happen before I called them?
Correct answer: I found the money was charged but I have not got shoes.
Output: I found the shoes were still on the way after several days.
Excellent incorrect answer: as it includes topically relevant words while still being incorrect.
New input case for you: Context: The rest of my day was filled out with selling textbooks , both online and by dropping titles off in the GCM lobby . So far I have sold my typography book , my photocopy of Marketing 200 and my " clicker " interactive remote thing . This clicker was a waste of money I was required to purchase for a first year class and have not used since . Head 's up to anyone who took MGT in Fall 2005 , there is a market for these clicker things again .
Question: Why is the narrator studying so much ?
Correct Answer: They are in a collegiate environment .
Output: | They are in a high school environment . | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
-0.34445875883102417,
0.17287510633468628,
-0.13593652844429016,
0.8412399291992188,
0.6600673794746399,
-0.4723778963088989,
0.3669891953468323,
0.7170167565345764,
-0.4148387908935547,
-0.06870925426483154,
-0.43291187286376953,
-0.10571378469467163,
-0.13272058963775635,
-0.378282517194... |
instruction:
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 incorrect.
question:
What element is essential for amino acid and nucleic acid production?
answer:
oxygen
question:
What increases the size of a population's gene pool?
answer:
mass extinction
question:
What type of resource is water power?
answer:
| biological
| 9 | NIv2 | task592_sciq_incorrect_answer_generation | fs_opt | [
-0.3217045068740845,
0.9083825349807739,
-0.21257351338863373,
-0.47038838267326355,
-0.735884964466095,
-1.410130262374878,
0.9533915519714355,
0.2225130796432495,
-0.14614266157150269,
0.009740971028804779,
-0.6772283911705017,
-0.7876237034797668,
-0.924655556678772,
-0.7376230955123901... |
Teacher:In this task, you are to Translate German text to English
Teacher: Now, understand the problem? Solve this instance: Der Brenner ist besonders geeignet zur Verwendung in einer Gasturbine (15, 16, 17).
Student: | The burner is particularly suitable for use in a gas turbine (15, 16, 17). | 6 | NIv2 | task841_para_pdt_de_en_translation | zs_opt | [
0.8000813126564026,
0.4671127498149872,
-0.49802327156066895,
-0.20414799451828003,
-0.3666521906852722,
-0.332492858171463,
0.3526957035064697,
0.40723833441734314,
0.7726134061813354,
0.11326294392347336,
-0.019067086279392242,
0.2927793264389038,
-0.9866849184036255,
0.02649199590086937... |
Given the task definition and input, reply with output. Given a scientific question, generate a correct answer to it.
Electrons in covalent compounds are shared between the two atoms, unlike the case in what type of bonds?
| ionic bonds | 5 | NIv2 | task591_sciq_answer_generation | zs_opt | [
0.2510209381580353,
0.8721070885658264,
-0.23493865132331848,
-0.5097370147705078,
-0.31697434186935425,
-0.510634183883667,
0.6075273156166077,
-0.09849278628826141,
-0.029722752049565315,
-0.1937825083732605,
0.3171784281730652,
0.14972686767578125,
-0.21870757639408112,
-0.2428361475467... |
Instructions: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are "HISTORICAL" when the author has already done something and they are "HYPOTHETICAL" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'
Input: CLAIM : The following post is HISTORICAL. POST :
I (25/F) am a part-time pre-dental student, currently taking three upper level science classes. I also work an 8-5, 40 hr/wk job and am the sole income provider in my household. I’m very lucky because my work has let me be very flexible with my hours so I can take classes during the day (I start at 7, go to class, come back until 6 or 7). I am a straight A student. I never skip class and take my time at school very seriously because the grades I get now decide my future.
&#x200B;
I have a friend (25/F) who I met at school last year. We are friends outside of class and frequently spend time together. She is taking the same science courses I am but doesn’t have a job. She often decide she “isn’t feeling” class and will skip lectures or just leave halfway through class. Whenever we meet up to study she ends up packing a bowl after about an hour of studying and then tells me she can still study while she’s baked.
&#x200B;
AITA for not wanting to share my notes with her?
&#x200B;
For example, our professor holds office hours to review practice tests before the midterm. This is the only way to get the answer key for the practice exams. I always use my PTO and take a half day so I can go to campus and meet with him. Rather than go and meet with the professor herself, she will text me and ask if I’ll give her the answers to the practice exam. Or she will skip class to go on a hike with her boyfriend and then ask me to send her the notes I took.
&#x200B;
I’m torn because I know that my helping her doesn’t inhibit my ability to succeed. Giving her my notes or the practice exam info doesn’t negatively affect me. So I feel like an asshole for not wanting to help her. But at the same time I feel like I’m being taken advantage of because she knows she doesn’t have to try hard or attend class because I’ll never skip or slack off. She says she would do the same for me, but I would never put her in that position. It annoys me that she will have access to the material I worked my ass off to compile for absolutely no effort on her part. It’s also frustrating because my workload is insane, and I know if I can make time for class so can she. Am I just being really judgmental about her work ethic?
Output: | no | 3 | NIv2 | task501_scruples_anecdotes_post_type_verification | zs_opt | [
0.10745078325271606,
-0.16181346774101257,
0.12487748265266418,
-0.41815879940986633,
0.2640221118927002,
-0.9314448833465576,
0.41702181100845337,
1.3662563562393188,
-0.4794009327888489,
-0.48717743158340454,
0.16136138141155243,
0.09944543242454529,
0.08368353545665741,
-0.0808452665805... |
You will be given a definition of a task first, then some input of the task.
You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .
Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాల ఒకటి ఉంది.సమీప బాలబడి, ప్రాథమిక పాఠశాల <MASK>, ప్రాథమికోన్నత పాఠశాల ఇందల్వాయిలోను, మాధ్యమిక పాఠశాల ఇందల్వాయిలోనూ ఉన్నాయి. సమీప జూనియర్ కళాశాల ధార్పల్లిలోను, ప్రభుత్వ ఆర్ట్స్ / సైన్స్ డిగ్రీ కళాశాల, ఇంజనీరింగ్ కళాశాలలు నిజామాబాద్లోనూ ఉన్నాయి. సమీప వైద్య కళాశాల హైదరాబాదులోను, మేనేజిమెంటు కళాశాల, పాలీటెక్నిక్లు నిజామాబాద్లోనూ ఉన్నాయి. సమీప వృత్తి విద్యా శిక్షణ పాఠశాల, అనియత విద్యా కేంద్రం, దివ్యాంగుల ప్రత్యేక పాఠశాల నిజామాబాద్లో ఉన్నాయి.
Option A: ఇందల్వాయిలోను
Option B: నిజామాబాద్
Option C: ధర్పల్లిలోను
Option D: ఇందల్వాయిలోనూ
Output: | ధర్పల్లిలోను | 1 | NIv2 | task954_wiki_cloze_te_multiple_choice_question_answering | zs_opt | [
0.4914700388908386,
0.6408509016036987,
0.645824670791626,
-0.18256017565727234,
0.6257641315460205,
-0.5180809497833252,
0.8323675394058228,
0.9180974960327148,
-0.439365029335022,
-0.0901755765080452,
0.11907307058572769,
0.3442000150680542,
-0.09192759543657303,
-0.188826322555542,
0.... |
Instructions: In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
Input: The initial cluster of severe pneumonia cases that triggered the COVID-19 epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to a wet market, human-to-human transmission has driven the rapid spread of the virus throughout China. The Chinese government has implemented containment strategies of city-wide lockdowns, screening at airports and train stations, and isolation of suspected patients; however, the cumulative case count keeps growing every day. The ongoing outbreak presents a challenge for modelers, as limited data are available on the early growth trajectory, and the epidemiological characteristics of the novel coronavirus are yet to be fully elucidated. We use phenomenological models that have been validated during previous outbreaks to generate and assess short-term forecasts of the cumulative number of confirmed reported cases in Hubei province, the epicenter of the epidemic, and for the overall trajectory in China, excluding the province of Hubei. We collect daily reported cumulative confirmed cases for the 2019-nCoV outbreak for each Chinese province from the National Health Commission of China. Here, we provide 5, 10, and 15 day forecasts for five consecutive days, February 5th through February 9th, with quantified uncertainty based on a generalized logistic growth model, the Richards growth model, and a sub-epidemic wave model. Our most recent forecasts reported here, based on data up until February 9, 2020, largely agree across the three models presented and suggest an average range of 7409e7496 additional confirmed cases in Hubei and 1128e1929 additional cases in other provinces within the next five days. Models also predict an average total cumulative case count between 37,415 and 38,028 in Hubei and 11,588e13,499 in other provinces by February 24, 2020. Mean estimates and uncertainty bounds for both Hubei and other provinces have remained relatively stable in the last three reporting dates (February 7th e 9th). We also observe that each of the models predicts that the epidemic has reached saturation in both Hubei and other provinces. Our findings suggest that the containment strategies implemented in China are successfully reducing transmission and that the epidemic growth has slowed in recent days.
Output: | -NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) | 3 | NIv2 | task1161_coda19_title_generation | zs_opt | [
-0.013040272518992424,
0.41325855255126953,
-0.38790667057037354,
-1.0372340679168701,
0.13184933364391327,
-0.07074032723903656,
0.07424785196781158,
0.8042454719543457,
-0.2913419008255005,
0.5828377604484558,
-0.405187726020813,
0.8983985185623169,
0.017680808901786804,
0.57812947034835... |
TASK DEFINITION: In this task, you need to count the number of vowels (letters 'a', 'e', 'i', 'o', 'u') / consonants (all letters other than vowels) in the given sentence.
PROBLEM: Sentence: 'a sail boat lays on it's side on the beach'. Count the number of vowels in the given sentence.
SOLUTION: 14
PROBLEM: Sentence: 'a piece of cake sitting on a plate with a strawberry'. Count the number of consonants in the given sentence.
SOLUTION: 25
PROBLEM: Sentence: 'a dog retrieving a frisbee from the water'. Count the number of vowels in the given sentence.
SOLUTION: | 14
| 8 | NIv2 | task157_count_vowels_and_consonants | fs_opt | [
0.457538366317749,
0.6166335344314575,
-0.9397218227386475,
-0.649661660194397,
0.09754936397075653,
-0.12393324822187424,
0.22087931632995605,
0.6828462481498718,
-0.11774010956287384,
-0.22749848663806915,
0.003194886725395918,
-0.02025955729186535,
-0.1721968948841095,
-0.46325260400772... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.
בשנה שעברה, ב-4 ביולי, ניסויים במאיץ החלקיקים הגדול גילו את בוזון היגס.
A: | No ano passado, no dia 4 de julho, experiências no Grande Colisionador de Hadrões [GCH] descobriram o bosão de Higgs. | 7 | NIv2 | task1114_ted_translation_he_pt | zs_opt | [
-0.11551770567893982,
1.4902656078338623,
-0.7209100127220154,
0.2282998263835907,
-0.6289535164833069,
-0.9818775057792664,
-0.03567033261060715,
0.5684682130813599,
0.5435501337051392,
-0.2438506782054901,
-0.47504717111587524,
0.27197879552841187,
0.30440300703048706,
0.0302942059934139... |
Detailed Instructions: 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. Classify your answers into user and assistant.
See one example below:
Problem: Ok, the national drink of Scotland is whisky.
Solution: assistant
Explanation: It is pretty straightforward. It is knowledge sharing, and the assistant explains the question asked by the user.
Problem: So possibly ready for an expansion in some area. Are there any other intriguing economic factors that would be useful for business purposes?
Solution: | user | 4 | NIv2 | task577_curiosity_dialogs_classification | fs_opt | [
-0.14792293310165405,
0.5810434222221375,
-0.34862297773361206,
-0.7340010404586792,
-0.3919373154640198,
-0.27902480959892273,
1.3339087963104248,
-0.546650767326355,
1.1502701044082642,
-0.21376389265060425,
-0.13599646091461182,
-0.01467963494360447,
-0.10008702427148819,
0.278447329998... |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
One example: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
Solution is here: background
Explanation: The sentence provides the background information regarding how they could control future SARS outbreaks depending on the accuracy of identification of some infected patients having SARS-CoV.
Now, solve this: The limitations and future directions of aptamers in target specific delivery and real-time detection are also discussed.
Solution: | purpose | 6 | NIv2 | task1163_coda19_section_classification | fs_opt | [
0.15190395712852478,
0.3303622901439667,
-0.10132727026939392,
0.020643485710024834,
0.14961306750774384,
-0.10085330903530121,
0.24622893333435059,
1.128739595413208,
0.008179614320397377,
0.5234347581863403,
-1.0267364978790283,
0.21394041180610657,
0.15939250588417053,
-0.10795114934444... |
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: religious or non-political religious on the topic.
Example Input: ভারত মারলে যুদ্ধ বিরতি ভাংছে পাকিসহান মারলে ঠিকআছে।
Example Output: non-religious
Example Input: স্বাধীনতার ঘোশনা কে দিয়েছিলো তোর বাপ তাহলে তুইতো তোর বাপের স্তান না রে সালা
Example Output: non-religious
Example Input: জাগে হে মুসলিম সন্তান জেগে ওঠে এই পিথিবি থেকে মালাউনেরদের নাম চিরতরে মুছে দিতে হবে রেনডিয়ারদের কুত্তার মতো করে মারার জন্য ধন্যবাদ পাকিস্তান সেনাবাহিনী কে দেখা মাত্রই ডাইরেক্ট ফায়ার ধংস হোক সালার রেনডিয়া ও মালাউনরা ইনশাআল্লাহ জয় আমাদের হবেই হবে দেখি সালারা জাই কোন দিকে
Example Output: | religious
| 3 | NIv2 | task1492_bengali_religious_hate_speech_binary_classification | fs_opt | [
-0.10499104857444763,
0.21156904101371765,
-0.3933284282684326,
0.4897865355014801,
-1.1583476066589355,
-0.7361770868301392,
0.9025238752365112,
0.8177157640457153,
-0.2945246696472168,
-0.27535149455070496,
-0.9692102670669556,
-0.05163634568452835,
-0.3167404532432556,
-0.48625180125236... |
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].
Cmdr. Paul Bauer 53 was shot to death at the Thompson Center after chasing a man fleeing from tactical officers who tried to stop him police officials said. Bauer a 31-year-veteran who had been in the area for training and had a meeting with aldermen scheduled later confronted the man according to police officials and other sources. He opened fire hitting the commander multiple times police said.
Bauer the married father of a 13-year-old daughter is the first Chicago cop shot and killed since 2011 and he is the highest-ranking officer killed in decades.
Chicago Police Department Cmdr. Paul Bauer was shot and killed in Chicago on Feb. 13 2018. Cmdr. Paul Bauer was shot and killed in Chicago on Feb. 13 2018. (Chicago Police Department) (Chicago Police Department)
Bauer heard the radio traffic saw a man matching the description and tried to approach and question him in or near a stairwell according to Guglielmi. A struggle ensued and Bauer was shot multiple times.
Bauer was in uniform Guglielmi said.
The tactical officers apprehended the man and Bauer was taken to the hospital where he was pronounced dead shortly after 2 p.m.
Mayor Rahm Emanuel was preparing to board a flight in Los Angeles to head home Tuesday afternoon when he was told of the shooting. He arrived in Chicago around 7 p.m. and headed straight to a meeting with Johnson the mayorâs staff said. Emanuel said in a statement that Bauer âs death was a sad reminder of the perils of police work.
â Commander Bauer stood for the highest ideals of our police department and our city - to serve and protect the people of Chicago â the statement said.
A statement from the Chicago Police Memorial Foundation called his death âsenseless.â
âThe idea that Paul would act so unselfishly and would sacrifice his own safety for the safety of the people of Chicago and his fellow officers comes as no surprise to those of us who knew him â the statement read.
Tuesday evening firefighters at a station near Bauer âs police district headquarters lowered their flags to half-staff. Anthony Goulet 13 came to pay his respects to the officer he said he had recently met at a community event.
RELATED: Slain Chicago cop advocated for stiffer sentences â the suspect in his shooting is a four-time felon. »
What we know now about the shooting of Chicago police Cmdr . Paul Bauer » | Paul Bauer | 0 | NIv2 | task419_persent_answer_generation | zs_opt | [
0.006695066578686237,
0.08395618945360184,
-1.1187691688537598,
0.10102915018796921,
0.832822859287262,
-0.5147904753684998,
0.7236124277114868,
0.533057451248169,
0.21575379371643066,
0.44293278455734253,
-0.09549665451049805,
1.0458862781524658,
-0.6712625026702881,
0.7731451392173767,
... |
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.
Example: In January 2011 , the Deputy Secretary General of FIBA Asia , Hagop Khajirian , inspected the venue together with SBP - President Manuel V. Pangilinan .
In January 2011 , FIBA Asia deputy secretary general Hagop Khajirian along with SBP president Manuel V. Pangilinan inspected the venue .
Example solution: Paraphrase
Example explanation: The second sentence has the same meaning as the first sentence and is just a paraphrased version of it.
Problem: It runs through Forest Park , along the north side of the Highland Park and through Ridgewood Reservoir .
It runs through Highland Park , along the north side of Ridgewood Reservoir , and through Forest Park .
| Solution: Not paraphrase | 5 | NIv2 | task400_paws_paraphrase_classification | fs_opt | [
0.06395888328552246,
-0.16241160035133362,
-0.08429174870252609,
-0.5050619840621948,
-0.18214431405067444,
-0.5086235404014587,
0.9393179416656494,
-0.2692437171936035,
0.5418760776519775,
-0.03423316031694412,
-0.5853450894355774,
-0.030984917655587196,
-0.678449273109436,
0.862272322177... |
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 when the individual's belief does not match reality, and the third is when an individual has a false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Input: Ella entered the playroom. Olivia entered the playroom. The apple is in the green_treasure_chest. Olivia exited the playroom. Ella moved the apple to the red_suitcase. Olivia entered the front_yard. Amelia entered the front_yard. The grapes is in the blue_treasure_chest. Amelia exited the front_yard. Olivia moved the grapes to the blue_crate. Avery entered the staircase. Ella entered the staircase. The orange is in the red_drawer. Ella exited the staircase. Avery moved the orange to the red_bottle. Olivia entered the basement. Avery entered the basement. The beans is in the green_envelope. Avery exited the basement. Olivia moved the beans to the green_crate. Where was the beans at the beginning?
Output: | green_envelope | 3 | NIv2 | task154_tomqa_find_location_hard_noise | zs_opt | [
0.24152687191963196,
-0.24600441753864288,
-0.41552358865737915,
0.2820481061935425,
-0.44208061695098877,
-0.778201699256897,
0.09829717129468918,
1.1119182109832764,
0.03674447908997536,
-0.0691915825009346,
-0.39274466037750244,
0.6995874643325806,
0.14372219145298004,
0.095836654305458... |
In this task, given a sentence in the English language, your task is to convert it into the Khmer language.
Romania, who rarely looked like scoring, missed a chance to score a few minutes later when Ionut Dimofte missed a penalty. | រូម៉ានី ដែលមើលទៅដូចជាកម្រទទួលបានពិន្ទុ បានខកខានឱកាសមួយសំរាប់ទទួលពិន្ទុនៅពីរបីនាទីក្រោយពេលដែល អ៊ីយ៉ូនុត ឌីម៉ូហ្វតេ ខកខានបាល់ពិន័យមួយ។ | 0 | NIv2 | task555_alt_translation_en_kh | zs_opt | [
0.607322096824646,
0.6309652924537659,
0.00978776440024376,
-1.1130385398864746,
-0.11199367046356201,
-0.047674886882305145,
0.5890275239944458,
0.5828679203987122,
0.0898473858833313,
0.007709167432039976,
-0.1653517484664917,
0.02778078243136406,
-0.6450745463371277,
-0.0383979640901088... |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the position of all the alphabetical elements in the given list in order. Assume the position of the 1st element to be 1. Return -1 if no alphabetical element is in the list.
Input: Consider Input: ['9387', '6285', '3765', '1043', 'u', '8223', '3733', 'g', '3151', 'm', '9747', '3987', 'a', 'E', 'N', 'N', '7695', 'W', 'r', 'D', '481', '8323', 'o', '1601', '401', '8445', 'P', 't', '6539', '4099', '7473']
Output: 5, 8, 10, 13, 14, 15, 16, 18, 19, 20, 23, 27, 28
Input: Consider Input: ['3627', '6133', '8503', 'P', '6367', '8811', 's', '1235', '1265', 'm', 'I', 'X', '269', '7343', 'n', '3501', 'i', 'K', 'L', 'T', 'y', '611', 'B', 'g', '2677', 'M', '9961', '511', 'g']
Output: 4, 7, 10, 11, 12, 15, 17, 18, 19, 20, 21, 23, 24, 26, 29
Input: Consider Input: ['7671', 'n', 'W', 'H', 'F', 'C', '5041', '425', 'Y', 'O', '7919', 't', '7789', 'y']
| Output: 2, 3, 4, 5, 6, 9, 10, 12, 14
| 2 | NIv2 | task506_position_of_all_alphabetical_elements_in_list | fs_opt | [
0.3750495910644531,
0.01651732064783573,
-0.22322726249694824,
-0.750072181224823,
0.03991776332259178,
-1.048930048942566,
0.7482162117958069,
0.9184441566467285,
-0.7788088321685791,
0.2168164849281311,
-0.5903096199035645,
-0.13232429325580597,
-0.23988592624664307,
-0.5222685933113098,... |
Detailed Instructions: 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.
Problem:u are so funny lol why do u belive in life after death
Solution: | other | 8 | NIv2 | task517_emo_classify_emotion_of_dialogue | zs_opt | [
-1.4618079662322998,
0.4087839126586914,
0.6282399892807007,
-0.5850359201431274,
0.13412699103355408,
-1.146292805671692,
0.8366576433181763,
-0.49437057971954346,
0.4642230272293091,
-0.645950198173523,
0.43533140420913696,
0.3739989995956421,
-0.3549020290374756,
1.0133411884307861,
-... |
In this task, you're given statements in native Malayalam language. The statement can be written with the Malayalam alphabet or the English alphabet. Your job is to evaluate if the statement is offensive or not. Label the post as "Not offensive" if the post does not contain offense or insult. Non-offensive posts do not include any form of offense or insult. Label the post as "Offensive" if the post contains offensive language.
Input: Consider Input: Haha..1.35 il raajuvettane kandavar ivide like adichee
Output: Not offensive
Input: Consider Input: Dislik അടിച്ച daashukal priya faans ആണെന്ന് തോന്നുന്നു
Output: Offensive
Input: Consider Input: Shooooo....9 manikku kaanan thodangiyadhaa....12:30 aayi....ethra vattam kandu ennadhinum kanakkilaa....nirthaan pattunilalo.....oru katta Mohanlal prithviraj aaradhakande rodhanam!!!!!
| Output: Not offensive
| 2 | NIv2 | task1538_malayalam_offenseval_dravidian_classification | fs_opt | [
0.008960802108049393,
0.46955880522727966,
0.37432175874710083,
-0.17001712322235107,
-0.45400291681289673,
-0.6106149554252625,
0.7815964221954346,
-0.0685686320066452,
0.2297365516424179,
-0.4725225865840912,
-0.7457194328308105,
-0.4533337950706482,
-0.9280091524124146,
-0.5912941694259... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.
--------
Question: Improvvisamente ho pensato, molti bambini non udenti nascono da genitori udenti.
Answer: و ناگهان فکر کردم ، بیشتر کودکان ناشنوا از پدر و مادرهای شنوا متولد میشوند.
Question: Ora le famiglie chiedono informazioni.
Answer: اکنون خانواده هایی که طالب اطلاعاتند ،
Question: Le due pessime idee che ronzano nel mondo moderno che ci impediscono di trarre forza dall'arte: La prima idea è che l'arte dovrebbe essere per amore dell'arte - un'idea ridicola - un'idea secondo cui l'arte dovrebbe vivere in una bolla ermetica e dovrebbe avere niente a che fare con questo mondo problematico.
Answer: | دو ایده واقعا بد که درهوای جهان مدرن معلق است که مانع استعداد مان برای جلب قدرت از هنر میشود: دو ایده واقعا بد که درهوای جهان مدرن معلق است که مانع استعداد مان برای جلب قدرت از هنر میشود: اولین ایده این است که هنر نمی بایستی برای جلب هنر باشد — این ایده مسخره ایست — ایده اینکه هنر باید در یک حباب کیمیا زندگی کند و نباید برای این جهان که سرشار از مشکلات است تلاشی کند. ایده اینکه هنر باید در یک حباب کیمیا زندگی کند و نباید برای این جهان که سرشار از مشکلات است تلاشی کند.
| 7 | NIv2 | task1254_ted_translation_it_fa | fs_opt | [
0.17436154186725616,
0.921339750289917,
-0.208791583776474,
0.591701865196228,
-0.7156946063041687,
-0.39049458503723145,
0.0501541867852211,
0.8924485445022583,
0.11296352744102478,
-0.049723412841558456,
-0.6753422021865845,
0.11856608092784882,
-0.9597936868667603,
-0.001507381908595562... |
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.
[Q]: Ilang linggo bago ang pangprimaryang gobernadurya ng Alabama, ipinakita ng mga presinto ng botohan na si Riley ang nanguna kay Moore, ang dating punong huwes ng estado na naging idolo para karapatang pangrelihiyon noong 2003 nang siya ay paalisin dahil sa kaniyang pagtangging alisin ang 5,300-pound na bantayog ng Sampung mga Utos mula sa gusali ng hukuman ng estado.
[A]: 州知事選予備選へとつながる数週間、世論調査ではライリー氏がムーア氏に先行していたが、ムーア氏は元州裁判所の首席裁判官で、2003年に州の裁判所のビルに設置した重量5300ポンドのモーゼの十戒のモニュメントの撤去を拒否して解雇され、宗教的権利を守るヒーローとされた人物だ。
[Q]: "Ang teknolihiyang ito ay talagang bago, na hindi ginaya ang kahit anong sistema ng misil na maaaring umiiral sa ibang mga bansa" at sinasabi pa na maaaring itong magdala ng ilang mga warhed.
[A]: 「この技術は、他の国の中に存在するかもしれない他のどのミサイルシステムもまねておらず、完全に新しいものである」更に「それは複数の弾頭を運ぶことができる」と言う。
[Q]: Si Fud Leclerc, na kumatawan sa Belguim sa Eurovision Song Contest ng apat na beses, ay namatay sa edad na 86.
[A]: | ユーロビジョン・ソング・コンテストで4度ベルギー代表を務めたフド・ルクレールが86歳で亡くなった。
| 5 | NIv2 | task1119_alt_fil_ja_translation | fs_opt | [
0.337689071893692,
-0.07432747632265091,
-0.08698008954524994,
-0.8456112742424011,
-0.06635352224111557,
-0.5608052015304565,
0.39063116908073425,
0.7648587822914124,
-0.36419931054115295,
-0.21465227007865906,
-0.9682968854904175,
1.0303500890731812,
0.05138257518410683,
0.47531583905220... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given two strings A,B. You must perform the following operations to generate the required output list: (i) Find the longest common substring in the strings A and B, (ii) Convert this substring to all lowercase and sort it alphabetically, (iii) Replace the substring at its respective positions in the two lists with the updated substring.
SgRRaAsvtqHMyDkxAAuTNjKfX, HYZBobQXxsvtqHMyDkxHweMhONbn
Output: | SgRRaAdhkmqstvxyAAuTNjKfX, HYZBobQXxdhkmqstvxyHweMhONbn | 1 | NIv2 | task755_find_longest_substring_and_replace_its_sorted_lowercase_version_in_both_lists | zs_opt | [
0.05492936819791794,
0.6449135541915894,
-0.23621641099452972,
-0.12126961350440979,
0.2066125124692917,
-0.2046048939228058,
0.45488283038139343,
-0.19669926166534424,
-0.0032034905161708593,
-0.052649952471256256,
-0.8524320125579834,
-0.3679192066192627,
0.6008394360542297,
-0.188228607... |
In this task, you are given commands (in terms of logical operations) to select relevant rows from the given table. Your job is to classify the command into one of these seven categories: (1) majority, (2) unique, (3) superlative, (4) count, (5) comparative, (6) aggregation, and (7) ordinal.
Here are the defications of each category:
1. majority: Describing the majority values (most or all) over one column, with the scope of all table rows or a subset of rows
2. unique: Describing one unique row, regarding one column, with the scope of all table rows or a subset of rows
3. Superlative: Describing the maximum or minimum value in a column, with the scope of all table rows or a subset of rows
4. Ordinal: Describing the n-th maximum or minimum value in a column, with the scope of all table rows or a subset of rows
5. Comparative: Comparing two rows in the table, regarding their values in one column
6. Count: counting some rows in the table based on the values in one column, with the scope of all table rows or a subset of rows
7. Aggregation: Describing the sum or average value over a column, with the scope of all table rows or a subset of rows.
Here are the definitions of logical operators for understanding of command:
1. count: returns the number of rows in the view.
2. only: returns whether there is exactly one row in the view.
3. hop: returns the value under the header column of the row.
4. and: returns the boolean operation result of two arguments.
5. max/min/avg/sum: returns the max/min/average/sum of the values under the header column.
6. nth_max/nth_min: returns the n-th max/n-th min of the values under the header column.
7. argmax/argmin: returns the row with the max/min value in header column.
8. nth_argmax/nth_argmin: returns the row with the n-th max/min value in header column.
9. eq/not_eq: returns if the two arguments are equal.
10. round_eq: returns if the two arguments are roughly equal under certain tolerance.
11. greater/less: returns if the first argument is greater/less than the second argument.
12. diff: returns the difference between two arguments.
13. filter_eq/ filter_not_eq: returns the subview whose values under the header column is equal/not equal to the third argument.
14. filter_greater/filter_less: returns the subview whose values under the header column is greater/less than the third argument.
15. filter_greater_eq /filter_less_eq: returns the subview whose values under the header column is greater/less or equal than the third argument.
16. filter_all: returns the view itself for the case of describing the whole table
17. all_eq/not_eq: returns whether all the values under the header column are equal/not equal to the third argument.
18. all_greater/less: returns whether all the values under the header column are greater/less than the third argument.
19. all_greater_eq/less_eq: returns whether all the values under the header column are greater/less or equal to the third argument.
20. most_eq/not_eq: returns whether most of the values under the header column are equal/not equal to the third argument.
21. most_greater/less: returns whether most of the values under the header column are greater/less than the third argument.
22. most_greater_eq/less_eq: returns whether most of the values under the header column are greater/less or equal to the third argument.
Q: eq { count { filter_eq { all_rows ; series result ; drawn } } ; 7 }
A: count
****
Q: and { only { filter_eq { filter_eq { all_rows ; tournament ; senior tournament players championship } ; winner ; miller barber } } ; eq { hop { filter_eq { filter_eq { all_rows ; tournament ; senior tournament players championship } ; winner ; miller barber } ; year } ; 1983 } }
A: unique
****
Q: and { only { filter_eq { all_rows ; decade ; 2000s } } ; eq { hop { filter_eq { all_rows ; decade ; 2000s } ; song title } ; dirty little secret } }
A: | unique
****
| 4 | NIv2 | task212_logic2text_classification | fs_opt | [
0.05609196797013283,
-0.27242013812065125,
-0.4107784926891327,
0.2304094284772873,
0.4087262451648712,
-0.44809335470199585,
0.6533084511756897,
0.6189895868301392,
0.2872195243835449,
0.014728076756000519,
-0.1420355588197708,
0.16590890288352966,
-0.03768989071249962,
0.4805319309234619... |
Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into English.
See one example below:
Problem: Con el crecimiento, los países y las sociedades ingresan en un ciclo virtuoso de movilidad ascendente, de oportunidad y mejores niveles de vida.
Solution: With economic growth, countries and societies enter into a virtuous cycle of upward mobility, opportunity and improved living standards.
Explanation: The Spanish sentence is correctly translated into English, because the meaning is preserved.
Problem: Cuando monitorean nuestros clics -y uno sabe que lo hacen- les cuesta muchísimo hacerse una idea de nuestra edad, género, ingresos.
Solution: | When they're monitoring your clickstream — and you know they are — they have a really hard time figuring out your age, your gender and your income. | 4 | NIv2 | task1226_ted_translation_es_en | fs_opt | [
-0.9874565601348877,
0.5806611180305481,
0.23342539370059967,
-0.3029353618621826,
-0.19448867440223694,
0.25172364711761475,
0.012173517607152462,
1.039623737335205,
0.003992803860455751,
0.13051123917102814,
-0.44990116357803345,
0.27187708020210266,
-0.7312872409820557,
-0.2541016638278... |
In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: Европейска пристанищна политика (, English: European ports policy (
yes
Bulgarian: Одобряване на протокола от предишното заседание: вж протоколите, English: Agenda for next sitting: see Minutes
no
Bulgarian: (Se levanta la sesión a las 23.40 horas), English: Opening of the sitting
| no
| 0 | NIv2 | task273_europarl_classification | fs_opt | [
-0.37606191635131836,
0.03774414584040642,
0.20082896947860718,
0.5315388441085815,
-0.31891998648643494,
-0.46400532126426697,
0.5827449560165405,
0.4156595468521118,
0.5828907489776611,
0.15051265060901642,
0.021974489092826843,
0.8537992238998413,
-0.1915692389011383,
0.4076813459396362... |
You are given a science question (easy-level) and four answer options (associated with "A", "B", "C", "D"). Your task is to find the correct answer based on scientific facts, knowledge, and reasoning. Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D'. There is only one correct answer for each question.
[Q]: Cells come in two basic types, prokaryotic and eukaryotic. Which cell structure is found in both prokaryotic and eukaryotic cells?
(A) vacuole (B) nucleoid (C) mitochondrion (D) cytoplasm
[A]: D
[Q]: Which is the most important safety measure to follow when using an acid in a classroom laboratory?
(A) wearing protective clothing and goggles (B) keeping the window open (C) closing the door to the hall (D) using bright fluorescent lights
[A]: A
[Q]: Jennifer is jumping rope. Which type of characteristic is she most likely demonstrating?
(A) learned (B) recessive (C) inherited (D) instinctive
[A]: | A
| 5 | NIv2 | task228_arc_answer_generation_easy | fs_opt | [
-0.34070372581481934,
0.021723097190260887,
-0.9841461181640625,
-0.17102402448654175,
-0.5461474657058716,
-0.6266671419143677,
0.11166823655366898,
0.6552767157554626,
-0.10186728835105896,
-0.16740292310714722,
-0.5647391080856323,
-0.26804792881011963,
-0.36300909519195557,
-0.13257591... |
Detailed Instructions: 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. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Problem:Beginning: The boy had a project. Middle: The boy didn't start the project until they day before. Ending: But, the teacher said it looked unrealistic and failed him.
Solution: | The boy didnt procrastinate the project, he started right away. | 8 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
0.45463353395462036,
0.4826107323169708,
0.37662023305892944,
-0.325636625289917,
-0.21688948571681976,
0.001652920269407332,
0.1904747486114502,
0.918864369392395,
-0.3614170551300049,
-0.5479021072387695,
-0.6208727359771729,
0.47879958152770996,
-0.30381810665130615,
-0.4693577587604522... |
Detailed Instructions: 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 false belief about another individual's beliefs. The question will ask about the location of an object in the story with respect to either none or one of the three scenarios. Note that there are distractor sentences in each story that are unrelated to the question and are designed to confuse the reader.
Problem:Alexander entered the master_bedroom. Abigail entered the master_bedroom. The peach is in the red_crate. Alexander moved the peach to the red_bucket. Where will Abigail look for the peach?
Solution: | red_bucket | 8 | NIv2 | task152_tomqa_find_location_easy_noise | zs_opt | [
-0.6318961977958679,
-0.26697927713394165,
-0.3689085841178894,
-0.4148743748664856,
-0.5382943153381348,
-0.4492607116699219,
0.7798783183097839,
0.38151460886001587,
0.06268379092216492,
-0.6239025592803955,
-0.6977981925010681,
0.06218673288822174,
0.08909003436565399,
-0.02641728520393... |
Detailed Instructions: In this task, you will be presented with a question having multiple possible answers in Polish language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
Q: Question: Sam był alkoholikiem. Dwa lata temu miał wypadek samochodowy i został ranny. Gdzie mógł się rozbić?
Options: A więzienie B Park C Bar D Mostek E dom sąsiada
A: | D | 9 | NIv2 | task1140_xcsr_pl_commonsense_mc_classification | zs_opt | [
0.1970737874507904,
0.9207228422164917,
0.047290824353694916,
-0.22747796773910522,
-0.2693035304546356,
-1.089962124824524,
0.7329195737838745,
0.24805289506912231,
0.5255114436149597,
0.26225927472114563,
-0.04481338709592819,
1.0353970527648926,
-0.6610715389251709,
-0.49572622776031494... |
Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
Input: آیا به خط کشی نیاز خواهیم داشت ؟
Output: | 車線は必要でしょうか | 3 | NIv2 | task1266_ted_translation_fa_ja | zs_opt | [
-0.6423138976097107,
0.3470548391342163,
-0.08703260123729706,
0.25966259837150574,
-0.304271936416626,
0.13659819960594177,
0.35674476623535156,
-0.010115492157638073,
0.5197246074676514,
0.2679536044597626,
-0.6140942573547363,
-0.24465368688106537,
0.4160821735858917,
0.6231153607368469... |
Detailed Instructions: You will be given one or more triples. The second part of each triple shows the relation between the first and the third element. Your task is to write a simple and short piece of text (sentence(s)) that describes the triples in natural language.
See one example below:
Problem: Amsterdam_Airport_Schiphol | runwayName | "09/27 'Buitenveldertbaan'"
Solution: Amsterdam Airport Schipol runway name is 09/27 Buitenvelderbaan.
Explanation: The simplest form of input is a single triple. Here the text describes the relationship in natural language.
Problem: Karl_Kesel | nationality | Americans
Auron_(comicsCharacter) | fullName | "Lambien"
Auron_(comicsCharacter) | creator | Karl_Kesel
Auron_(comicsCharacter) | creator | Marv_Wolfman
Solution: | The comic character Auron ( Lambien ) was created by both Marv Wolfman and American national Karl Kesel. | 4 | NIv2 | task1728_web_nlg_data_to_text | fs_opt | [
-0.655559241771698,
0.6057549118995667,
-0.37192368507385254,
-0.9163818359375,
-0.7588950991630554,
0.27013128995895386,
1.2592601776123047,
-0.034006185829639435,
-0.39021143317222595,
0.006729903165251017,
-0.7314988374710083,
0.7569836378097534,
-0.36409008502960205,
-0.111260399222373... |
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 sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Ulwakhiwo neempawu zentsinga zemifuno.
Solution: Construction and characteristics of vegetable fibre cordage.
Why? 'Ulwakhiwo neempawu' means construction/make-up and characteristics, 'zentsinga zemifuno' roughly translates to 'of fibre from vegetables'.
New input: Ngokukhethekileyo unika inkokhelo kwintsontelo zentsimbi ngexesha lo msebenzi we-ankile.
Solution: | Alternatively it gives a lead for the cable during anchor work. | 0 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | fs_opt | [
-0.10377021133899689,
0.3275408446788788,
0.15619048476219177,
-0.09930828958749771,
-0.3454951047897339,
-0.3568287491798401,
1.365964651107788,
0.42381125688552856,
-0.32008641958236694,
-0.014104120433330536,
-0.0027221129275858402,
-0.28077277541160583,
-0.3466756343841553,
0.688418507... |
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.
Example input: Passage: I submitted the hit. The hit was approved, and then I was paid. Question: What happened after I submitted the hit? Events: ['submitted', 'approved', 'paid'].
Example output: approved, paid
Example explanation: From the passage, we can infer that events approved and paid happened after the event submitted. Therefore, the answer to this question is "approved, paid".
Q: Passage: The British chemical and textile company's plan, which requires shareholder approval, would create a new, listed U.K. stock with a probable market capitalization between #300 million ($473 million) and #400 million, analysts said. The establishment of the separate company, to be called Courtaulds Textiles, could be effective as early as next year's first quarter. Question: What will happen after the establishment of the company? Events: ['plan', 'requires', 'approval', 'create', 'capitalization', 'said', 'establishment', 'called', 'be']
A: | called | 3 | NIv2 | task390_torque_text_span_selection | fs_opt | [
0.3945258855819702,
0.8336414694786072,
-0.3713251054286957,
-0.1633189618587494,
-0.023701205849647522,
0.24254091084003448,
0.11124059557914734,
0.5966883301734924,
0.026757661253213882,
0.5722491145133972,
0.08627452701330185,
0.4603816866874695,
-0.118224136531353,
0.036898039281368256... |
In this task, you will be shown an English sentence. You need to classify the sentence as either a representation of an anaphor number agreement or as an incorrect representation. An anaphor is an expression whose interpretation depends upon another expression. Anaphor number agreement is a restriction where a phrase agrees with the preceeding expression: plurals match plurals or singular expressions match singular expressions. In this task a valid representation of anaphor number agreement should be denoted as 'good' while everything else should be denoted as 'bad'. A correct representation of an anaphor number agreement will be a grammatically correct instance of a sentence where the subject and self-referencing nouns match plurality. An incorrect representation is a sentence in which the subject and self-referencing noun's plurality do not match.
Q: Guy talked to himself.
A: | good | 4 | NIv2 | task1560_blimp_binary_classification | zs_opt | [
-0.05414468050003052,
0.19308099150657654,
0.21543821692466736,
-0.5638066530227661,
-0.5234441757202148,
-0.9620285034179688,
0.8394715785980225,
-0.04972323775291443,
0.25743618607521057,
-0.4092065095901489,
-1.0931005477905273,
-0.23329627513885498,
-0.5360043048858643,
0.3335637450218... |
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 determine whether the Head is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Input: Consider Input: Head: quilter<sep>Tail: piece quilt
Output: Yes
Input: Consider Input: Head: host<sep>Tail: head table
Output: Yes
Input: Consider Input: Head: PersonX abolishes ___ altogether<sep>Tail: determined
| Output: No
| 2 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.5128476619720459,
0.288025826215744,
0.3795199990272522,
0.42973464727401733,
0.05010419338941574,
-0.9526344537734985,
0.24476087093353271,
0.8816958665847778,
-0.41260719299316406,
-0.1834176629781723,
-0.9664454460144043,
-0.418552428483963,
-0.41513174772262573,
-0.2015371024608612,
... |
Q: 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 activity, military rank, baby animals, weather, consumer product, animals, boxing terminology, food, chocolate food, bird, type of sandwich, date status, body part, ocean, employment activity, moral characteristic, elements, poker, computers, construction, guitar part, shady activities, physical activity, kitchenware, temperature, type of rigidity, emotional status, season, mode of transportation, window material, activity, emotional display, geographical property, fried food, store status, widespread, aesthetic characteristic, alcoholic drinks, secretary duty, direction, personal characteristic, and animal.
private, general, sergeant, admiral
A: | military rank | 7 | NIv2 | task143_odd-man-out_classification_generate_category | zs_opt | [
0.0032250022049993277,
0.31126338243484497,
-0.6645220518112183,
-0.30858033895492554,
0.31351131200790405,
-0.5493638515472412,
0.0435662642121315,
0.2904787063598633,
0.5324416160583496,
-0.03305329382419586,
-0.1077546626329422,
0.017731402069330215,
-0.5355596542358398,
-0.533127844333... |
Part 1. Definition
In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.
Part 2. Example
Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
.
Answer: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen.
Explanation: The passage describes the 704th's actions during Operation Market Garden.
Part 3. Exercise
Question: Around what age was Ingmar Bergman when he rose to prominence? Passage:The famous and influential Swedish filmmaker, Ingmar Bergman, rose to prominence in the fifties. He began making films in the mid-forties, and in 1955, he made Smiles of a Summer Night, which brought him international attention. A year later, he made one of his most famous films, The Seventh Seal. In the 1960s, Bergman won the Academy Award for Best Foreign Language Film for two consecutive years, with The Virgin Spring (Jungfrukällan) in 1960 and Through a Glass Darkly (Såsom i en spegel) in 1961. He won the award again in 1983, for the early twentieth-century family drama Fanny and Alexander (Fanny och Alexander). Bergman has also been nominated for the Best Picture award once, with the 1973 Cries and Whispers (Viskningar och rop), the story of two sisters watching over their third sister's deathbed, both afraid she might die, but hoping she does. The film lost to The Sting, and oddly enough, it was not nominated in the Foreign Language Film category. It also gave Bergman the first of three nominations for Best Director. Ingmar Bergman also won four Golden Globe Awards for Best Foreign Language Film.
Answer: | The famous and influential Swedish filmmaker, Ingmar Bergman, rose to prominence in the fifties | 7 | NIv2 | task234_iirc_passage_line_answer_generation | fs_opt | [
-0.21598292887210846,
0.5544476509094238,
-0.24261382222175598,
-0.18044476211071014,
0.392948716878891,
-0.5158318281173706,
0.5858280658721924,
0.942220151424408,
0.27362391352653503,
0.1251945048570633,
-0.5426097512245178,
-0.04963446408510208,
-0.8686339259147644,
0.2655428349971771,
... |
Detailed Instructions: 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.
See one example below:
Problem: [9, 40, -33, 12, 17, -32, 40]
Solution: 0
Explanation: The minimum absolute difference is 0 because '40 - 40 = 0' and '40' appears in the list twice. So this is a good example.
Problem: [-28, -27, -70]
Solution: | 1 | 4 | NIv2 | task1445_closest_integers | fs_opt | [
-0.5335620045661926,
0.2415502518415451,
-0.0628134161233902,
-0.10211783647537231,
-0.016604412347078323,
-0.5270611643791199,
1.0661553144454956,
0.21152669191360474,
0.3589211702346802,
-0.12031850218772888,
-0.28602612018585205,
-0.23041489720344543,
-0.6052337288856506,
-0.30706232786... |
Teacher:In this task, you are given a Reddit post as a text. Your task is to generate a title for this text. The title should start with "TIFU by", followed by a situation that caused humor. The title should contain 7-12 words, ideally.
Teacher: Now, understand the problem? Solve this instance: Text: so, this happened a few months ago, but i figured why not share my pain with the people? it was a really nice wednesday night here in central texas. i decided to get on the motorcycle and take a cruise. i thought about where to go and decided to head north to abilene. now the road between here and there is 45 miles of 2 lane country highway and 55 miles of four lane highway. i ride up, go to see some friends, have a beer, have a laugh. then i notice it's getting late so i head out. now, occasionally when i'm riding, i'll put headphones in and crank up some tunes. i find a good pandora station and take off for home. i get past the 4 lane highway and onto the 2 lane. about 5 miles in i come up on a truck pulling a stock trailer. stock trailers are a pretty common site on these roads. the truck is going about 10 miles under the speed limit, but no biggie. i'm in no hurry and besides, i hate passing people on this road. the deer get pretty thick right after dark. so i settle in behind the truck. i'm jamming out and all of a sudden i feel some rain drops. stupid fucking weather channel app! it said no chance of rain! i look up and see nothing but stars in the sky. something's not right... as i'm looking up, mouth agape, it starts pouring. it gets in my mouth and the taste hits me like a fat kid that got picked last for dodge ball. no no no no!!!! i just got pissed on and in my mouth by a fucking cow! i pull off the road because now my face is drenched and my glasses are covered. i clean them off and take off again. this time when i meet the rear end of the truck, i pass that fucker quicker than a doped up track star. thirty five miles to go and all i can taste and smell is urination and regret.
Student: | TIFU By Following A Truck A Little Too Close | 6 | NIv2 | task510_reddit_tifu_title_summarization | zs_opt | [
0.1423434168100357,
-0.0023889546282589436,
0.36135542392730713,
-0.22265899181365967,
0.28766894340515137,
-0.1508120894432068,
0.1839992254972458,
0.5569378733634949,
-0.38341429829597473,
0.14249959588050842,
0.11633044481277466,
-0.3155379295349121,
-0.3790661096572876,
-0.253444612026... |
Definition: In this task, you are given a sentence which is either in the Swedish language or English language. You task is to identify the language of input sentence. Input sentence can be in Swedish or English language only and also it cannot have two languages at a time.
Input: Livsmedelssäkerhetsmyndigheten har en helt annan situation.
Output: | Swedish | 2 | NIv2 | task315_europarl_sv-en_language_identification | zs_opt | [
-0.16859453916549683,
0.24361661076545715,
0.6303576231002808,
-0.7235501408576965,
0.19058454036712646,
-0.15861819684505463,
0.22723142802715302,
0.0743357315659523,
0.35476237535476685,
0.04352757707238197,
-0.44816434383392334,
0.297252357006073,
-0.5909422636032104,
0.3102153539657593... |
You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.
Example Input: Si tratta di circa 38mila metri cubi di aria compressa.
Example Output: Tiene alrededor de 34 mil metros cúbicos de aire comprimido.
Example Input: E poi, naturalmente, c'era John D. Rockefeller.
Example Output: Y entonces, por supuesto, ahí está John D. Rockefeller.
Example Input: Ho iniziato con uno schizzo di una foto, e l'ho mandato al biologo a Okeechobee — è un uccello in pericolo d 'estinzione,
Example Output: | Empecé a hacer borradores con el plan para realizar esta fotografía, y lo mandé al biólogo de la fauna de Okeechobee (el pájaro está en peligro de extinción, se necesita permiso).
| 3 | NIv2 | task1249_ted_translation_it_es | fs_opt | [
-0.5389633774757385,
0.6738568544387817,
-0.7513405680656433,
-0.6972838640213013,
-0.4112611413002014,
-0.9178869724273682,
-0.2862144112586975,
0.6171118021011353,
-0.11145637184381485,
-0.21719835698604584,
-0.26854583621025085,
0.20915347337722778,
-0.31202787160873413,
-0.122961685061... |
Detailed Instructions: In this task, you are given a sentence which is either in the Gujarati language or English language. You task is to identify the language of input sentence. Input sentence can be in Gujarari or English language only and also it cannot have two languages at a time.
Q: શેરી દૃશ્ય વૃક્ષો, બસ સ્ટોપ એરિયા અને પેરિફરીની આસપાસ એક ઈંટ ટાવર સાથે લાલ અને સફેદ બસ દર્શાવે છે.
A: | Gujarati | 9 | NIv2 | task441_eng_guj_parallel_corpus_gu-en_language_identification | zs_opt | [
-0.888131320476532,
0.001598504139110446,
0.7339761257171631,
0.11918695271015167,
0.2425285428762436,
-1.3084745407104492,
-0.06722365319728851,
0.2614354193210602,
0.23318013548851013,
0.12435252219438553,
-0.4026992917060852,
-0.18567553162574768,
0.26260215044021606,
0.0392428264021873... |
Instructions: A text is given in Tamil. Translate it from the Tamil language to the Urdu language. The translation must not omit or add information to the original sentence.
Input: வரிசை எண் 1-ல் உள்ள ‘அபோர்’ என்ற வார்த்தையை நீக்குதல், இது வரிசை எண் 16-ல் ‘ஆதி’ என்று குறிப்பிடப்பட்டுள்ளது.
Output: | نمبرشمار1 سے‘‘ابور’’ کو ہٹانا، کیونکہ یہ‘ آدی’ کے نام سے نمبرشمار 16 درج ہے۔ | 3 | NIv2 | task1035_pib_translation_tamil_urdu | zs_opt | [
0.6836977005004883,
0.45026928186416626,
-0.8137340545654297,
0.04211101308465004,
0.05600745230913162,
-0.8079783320426941,
0.38150233030319214,
0.34419864416122437,
-0.12166119366884232,
0.05696449056267738,
-0.7582282423973083,
-0.7347677946090698,
-0.4339023232460022,
0.151318013668060... |
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