inputs stringlengths 38 313k | targets stringlengths 0 4.86k | _template_idx int64 0 9 | _task_source stringclasses 1
value | _task_name stringlengths 19 85 | _template_type stringclasses 2
values | embedding listlengths 1.02k 1.02k |
|---|---|---|---|---|---|---|
Detailed Instructions: In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.
Q: Problem: the expression x # y denotes the product of the consecutive multiples of 3 between x and y , inclusive . what is the sum of the exponents in the prime factorization of 21 # 33 ?
Options: a ) 12 , b ) 13 , c ) 14 , d ) 15 , e ) 16
A: | c | 9 | NIv2 | task1420_mathqa_general | zs_opt | [
0.23812136054039001,
0.0631098747253418,
-0.48540419340133667,
-0.6563748121261597,
-0.28159528970718384,
0.06062910333275795,
0.8037285208702087,
0.9762893915176392,
0.017022352665662766,
0.33849525451660156,
-0.559478759765625,
0.540585994720459,
-0.023069394752383232,
-0.447132140398025... |
This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.
[EX Q]: A Severed Wasp, published in the United States is in the English language.
[EX A]: [['A Severed Wasp', 'LANGUAGE', 'English language'], ['A Severed Wasp', 'COUNTRY', 'United States']]
[EX Q]: Near Café Rouge, Midsummer House serves Indian food and has a customer rating of 1 out of 5.
[EX A]: [['Midsummer House', 'food', 'Indian'], ['Midsummer House', 'customer rating', '1 out of 5'], ['Midsummer House', 'near', 'Café Rouge']]
[EX Q]: The Asser Levy Public Baths are located in New York City in the U.S. Both Manhattan (led by Cyrus Vance Jr.) and Brooklyn are a part of New York City.
[EX A]: | [['Asser Levy Public Baths', 'LOCATION', 'New York City'], ['New York City', 'COUNTRY', 'United States'], ['Manhattan', 'LEADER_NAME', 'Cyrus Vance, Jr.'], ['New York City', 'IS_PART_OF', 'Manhattan'], ['New York City', 'IS_PART_OF', 'Brooklyn']]
| 6 | NIv2 | task1410_dart_relationship_extraction | fs_opt | [
0.1498599648475647,
0.08942647278308868,
-0.18074074387550354,
-0.16927935183048248,
0.32545626163482666,
0.3920409381389618,
0.06695765256881714,
0.6710138916969299,
-0.1691952347755432,
-0.13137781620025635,
0.22584950923919678,
0.08763479441404343,
-0.54112708568573,
-0.1891271471977234... |
Given the task definition and input, reply with output. You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.
Por tanto, este animal vai vivir o dobre de tempo.
| この動物は２倍長く生きられます | 5 | NIv2 | task1239_ted_translation_gl_ja | zs_opt | [
-1.3650717735290527,
0.35376277565956116,
0.34678739309310913,
-0.3731604814529419,
-0.3050580322742462,
-0.43119293451309204,
0.5833960771560669,
-0.10699902474880219,
-0.5293325185775757,
-0.9937037229537964,
-0.47108855843544006,
0.6033428907394409,
-0.9419913291931152,
0.66631484031677... |
You are given a sentence in English. Your job is to translate the English sentence into Italian.
Example Input: So NSA has two missions.
Example Output: La NSA ha due missioni:
Example Input: But those bubbles have membranes very similar to the membrane of every cell of every living thing on Earth looks like, like this.
Example Output: Ma queste bolle hanno membrane molto simili alle membrane di ogni cella di ogni cosa cosa vivente sulla Terra Come questa.
Example Input: So we need to be starting to think about this capability right now.
Example Output: | Così dobbiamo iniziare a pensare a questa capacità proprio adesso.
| 3 | NIv2 | task1091_ted_translation_en_it | fs_opt | [
-0.5438727736473083,
0.608323335647583,
0.20259621739387512,
0.012915387749671936,
-0.201884925365448,
-0.5733272433280945,
0.18651729822158813,
0.3555735945701599,
-0.5391792058944702,
0.36076998710632324,
0.01633785292506218,
0.5471687912940979,
0.28045910596847534,
-0.09367775917053223,... |
In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Let me give you an example: Post: @medelcami01 Tu eres mi perra cierto
The answer to this example can be: Hateful
Here is why: This post contains explicit language "perra" and disrespects women. The English translation is "@medelcami01 You're my bitch right".
OK. solve this:
Post: La misma zagala al zagal que le acompaña: 'Tú eres gay de postureo. Qué tienes 16 años y no has olido ni una polla'. Ésta niña es una mina y por lo que parece, experta en pollas.
Answer: | Hateful | 8 | NIv2 | task334_hateeval_classification_hate_es | fs_opt | [
-0.42022931575775146,
0.019856953993439674,
0.4327710270881653,
0.42074131965637207,
-0.4520896077156067,
-0.818609356880188,
0.11933760344982147,
1.0151170492172241,
0.5279579162597656,
0.016432378441095352,
-0.587073564529419,
0.3999476432800293,
-0.3240317702293396,
-0.5403627157211304,... |
In this task, you're given a statement, 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'.
One example: Context: 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. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Solution is here: from 17 to 25 September 1944
Explanation: The context describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
Now, solve this: Context: the Bridger–Teton National Forest in the Wind River Range. Link Information: The Wind River Range (or "Winds" for short), is a mountain range of the Rocky Mountains in western Wyoming in the United States. The range runs roughly NW–SE for approximately 161 km. The Continental Divide follows the crest of the range and includes Gannett Peak, which at 4,207 m, is the highest peak in Wyoming Question: What's the highest point in the range where the Bridger–Teton National Forest is located?
Solution: | Answer: Gannett Peak | 6 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
-0.20121587812900543,
0.5733150243759155,
-0.5508736371994019,
-0.39479273557662964,
0.2251996397972107,
-1.081191062927246,
0.17605158686637878,
1.20868718624115,
0.9294431209564209,
-0.23737478256225586,
-0.4499867558479309,
0.6075515151023865,
-1.594065546989441,
-0.18820598721504211,
... |
Given the task definition and input, reply with output. In this task, you are given a question. You have to answer the question based on your information.
U.S. Bank Tower is one of the tallest buildings west of the Mississippi River, but is shorter than which LA building?
| Wilshire Grand Center | 5 | NIv2 | task1293_kilt_tasks_hotpotqa_question_answering | zs_opt | [
-0.21192938089370728,
0.6123833656311035,
-0.5478906631469727,
0.667030394077301,
-0.004740007221698761,
0.04793739691376686,
-0.6985633969306946,
0.45259493589401245,
-0.18157482147216797,
0.15602320432662964,
-0.29281121492385864,
-0.06740337610244751,
0.0011090022744610906,
0.3228167295... |
Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Input: Ora ci troviamo in una situazione in cui per ogni tre 'baby boomers' l'Istituto Globale McKinsey prevede che due non riusciranno a mantenere il tenore di vita precedente al pensionamento.
Output: | E agora estamos na situación na que de cada tres nacementos, o Instituto Global McKinsey predí que dous non van ser quen de cubrir as súas necesidades pre-xubilatorias cando estean xubilados. | 3 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.6092041730880737,
0.43761172890663147,
-0.35062873363494873,
-0.8283365964889526,
-0.25285255908966064,
-0.32701176404953003,
-0.5505147576332092,
1.17825448513031,
-0.06624576449394226,
0.35645294189453125,
-0.07149014621973038,
0.5219792723655701,
-0.046705491840839386,
0.075667753815... |
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, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. 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.
One example is below.
Q: Head: PersonX arranges a date<sep>Tail: to find a nice restaurant.
A: Yes
Rationale: This is a good example. As a result of the Head, PersonX wants to find a nice restaurant.
Q: Head: PersonX folds PersonX's tent<sep>Tail: to put in the bag
A: | Yes | 9 | NIv2 | task1214_atomic_classification_xwant | fs_opt | [
0.6704779863357544,
0.2898675799369812,
0.37507009506225586,
-0.21072733402252197,
-0.49980348348617554,
-0.7815643548965454,
1.1512577533721924,
0.723335862159729,
-0.7224158644676208,
-0.4037353992462158,
-0.5359963774681091,
-0.26389962434768677,
-1.0978294610977173,
0.33997270464897156... |
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?).
Example input: Efforts to control future SARS outbreaks depend on the accurate and early identification of SARS-CoV infected patients.
Example output: background
Example 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.
Q: This article discusses several conditions that are distinct entities but share the common thread of abnormal lung parenchyma that regularly leads to patient referral for surgical consideration.
A: | purpose | 3 | NIv2 | task1163_coda19_section_classification | fs_opt | [
-0.2018713355064392,
0.6243699789047241,
-0.11780473589897156,
-0.3422101140022278,
0.30796653032302856,
0.3050002455711365,
0.016811158508062363,
1.107163906097412,
0.21068882942199707,
0.7367531061172485,
-0.9560920000076294,
0.1095375269651413,
-0.010756878182291985,
0.10119158029556274... |
Q: In this task, you need to count the number of times the given letter appears in the given sentence.
Sentence: 'person grating cheese on top of small pizza'. Find frequency of the letter 'r'
A: | 2 | 7 | NIv2 | task113_count_frequency_of_letter | zs_opt | [
-0.5947936773300171,
1.0318108797073364,
0.3409934639930725,
0.4680246412754059,
-0.5115640163421631,
0.6159223318099976,
0.9036515951156616,
0.4462789297103882,
-0.4426020383834839,
-0.010954169556498528,
-0.2208644151687622,
-0.5173419117927551,
-0.3135582208633423,
0.5117470026016235,
... |
Detailed Instructions: In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Problem:['A', '1567', '8545', '6999', '9121', 'G', 'P', 'Z', 't', '6573', 'x', 't', 'w', '4347', '2639', '887', '3917']
Solution: | 1, 1567, 8545, 6999, 9121, 7, 16, 26, 20, 6573, 24, 20, 23, 4347, 2639, 887, 3917 | 8 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
-0.11792043596506119,
0.11873425543308258,
0.35618317127227783,
-0.4332047700881958,
0.14319320023059845,
-0.6253758072853088,
-0.2221209555864334,
-0.15905533730983734,
0.1414467990398407,
-0.2650139331817627,
-0.03093603625893593,
-0.3501144051551819,
0.18192529678344727,
-0.667369604110... |
In this task, you are given music product reviews in German language. The goal is to classify the review as "POS" if the overall sentiment of the review is positive or as "NEG" if the overall sentiment of the review is negative.
Q: Der Hammer . Da ich schon einige Alben von Scooter besitze und mir auch diese gekauft habe, kann ich zum vergleich zu den anderen sagen, das dieses Album der beste Streich ist der Scooter gelungen ist. Es "hämmert" ohne Ende, ich kann "The Satadium Techno Experience" nur wärmstens weiter empfehlen.
A: | POS | 4 | NIv2 | task481_cls_german_music_classification | zs_opt | [
-0.3377229571342468,
-0.3763299584388733,
-0.23097538948059082,
0.331163227558136,
0.6487758159637451,
-0.4836275577545166,
0.8318687081336975,
0.26555073261260986,
0.2220613807439804,
1.1567046642303467,
0.108080193400383,
0.46659785509109497,
0.3432137966156006,
-0.51887047290802,
0.32... |
You will be given two questions. You should decide whether the second question is a good paraphrase of the first one. If you are able to tell that the two questions are the same without any other information, answer "Yes", otherwise answer "No".
Example input: original question: Which class of computer peripheral supports [Pyjamarama]?
paraphrase: [Pyjamarama] is supported by which class of computer peripheral?
Example output: Yes
Example explanation: The second question is a good paraphrase of the first question and they have the same answer.
Q: original question: Which unit of electric current uses the measurement system of [International System of Units]?
paraphrase: The measurement system of [International System of Units] is within what unit of electric current?
A: | Yes | 3 | NIv2 | task404_grailqa_paraphrase_validation | fs_opt | [
-0.38577333092689514,
0.7230206727981567,
-0.17875561118125916,
-0.35835766792297363,
-0.4734533727169037,
-0.7645986676216125,
0.8533520698547363,
0.3180529475212097,
0.15393324196338654,
0.2797614336013794,
-0.03580837696790695,
0.47912633419036865,
-0.3186701536178589,
0.037232920527458... |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
Q: ראש העיר הלבן ביקר את מר טסלר ואמר, "מר טסלר, אני בטוח שאתה עומד לשכור עובדים לבנים רבים."
A: | عميد البيض زار السيد تسزلر وقال, "سيد تسزلر, أنا واثق انك ستقوم توظيف الكثير من العمال البيض." | 4 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.301971435546875,
0.9424604177474976,
-0.1498935967683792,
-0.512452244758606,
-0.1397099643945694,
-0.09546889364719391,
0.127499058842659,
-0.5637329816818237,
1.376241683959961,
0.10683733224868774,
-0.1185331791639328,
0.8714956045150757,
-0.4855934679508209,
-0.4278479516506195,
0... |
Given the task definition and input, reply with output. You will be given a context and a verb separated with a newline character. You have to decide if the given verb implies a hypothetical or conditioned action or not. We say a verb is hypothetical if it involves or is based on a suggested idea or theory. A verb is conditional if it appears in a conditional phrase and is dependent on something else. Note that an event that happened in the past or is happening now cannot be conditional. The output should be "Yes" if the verb is conditional or hypothetical and "No" otherwise.
The relatives may be less defiant if they are held in contempt of court. If a court edict (fails) to compel compliance, the Justice Department will have to consider sterner measures, for the relatives will then be resisting the rule of law as defined by both the department and the courts.
Verb: fails
| Yes | 5 | NIv2 | task457_matres_conditional_classification | zs_opt | [
-0.8573514819145203,
0.721319317817688,
0.25318026542663574,
0.6166496276855469,
-0.05614824220538139,
-0.09962650388479233,
0.2557693123817444,
0.8798834085464478,
0.31070804595947266,
-0.33234867453575134,
-0.6745012998580933,
-0.024292316287755966,
-0.43488770723342896,
0.01598333008587... |
In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: इतिहासकारों के एक दृष्टिकोण के अनुसार इस सभ्यता के अन्त के दौरान मध्य एशिया से एक अन्य जाति का आगमन हुआ जो स्वयं को आर्य कहते थे और संस्कृत नाम की एक हिन्द यूरोपीय भाषा बोलते थे।
Answer: According to the Historians viewpoint,during the end of this civilisation there was arrival of a new caste from Central Asia,who called themselves Aryans,and spoke a Sanskrit named Hind European language.
Question: सन् २००० में अमेरिकी हाउस आफ रिप्रेसेंटेटिव में सीट हासिल करने में असफल होने के बाद जनवरी २००३ में उन्होंने अमरीकी सेनेट का रुख किया और मार्च २००४ में प्राथमिक विजय हासिल की।
Answer: After being unsuccessful in obtaining a seat in the American house of Representative in 2000, he joined the American soldier in January 2003, and won the first time in March 2004.
Question: इसके बिल्कुल विपरीत उनके पिता गोविन्द प्रसाद वर्मा सुन्दर विद्वान संगीत प्रेमी नास्तिक शिकार करने एवं घूमने के शौकीन मांसाहारी तथा हँसमुख व्यक्ति थे।
Answer: | in opposition her husband Govind Prasad Varma was handsome, scholar,lover of music, unbeliever of god, interested in hunting and roaming,non vegetarian and a smiling person.
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
-0.0007229894399642944,
0.29246872663497925,
0.036920417100191116,
0.15299615263938904,
0.052465666085481644,
-0.3699926733970642,
-0.28863853216171265,
0.09607930481433868,
-0.10403316468000412,
0.210942804813385,
0.2658589780330658,
0.25725093483924866,
-0.493985116481781,
-0.75629591941... |
Detailed Instructions: In this task, you will be presented with a question in Dutch language, and you have to write the person names from the question if present. B denotes the first item of a phrase and an I any non-initial word. Phrase used for the person name - PER. There can be instances with no person name entity, then return 'None'.
Problem:Het orkest breidt de bestaande stedelijke cycli in Leuven , Brussel , Gent en Roeselare uit met Hasselt en het koor start met nieuwe cycli in musea in Brugge , Antwerpen , Gent en Leuven .
Solution: | None | 8 | NIv2 | task1545_conll2002_person_name_extraction_answer_generation | zs_opt | [
-0.24891328811645508,
0.877539873123169,
-0.17850443720817566,
-0.26504313945770264,
-0.049194611608982086,
-0.505185604095459,
1.5467218160629272,
-0.18967820703983307,
0.11868184804916382,
-0.3896695673465729,
-0.2370302826166153,
0.5459091663360596,
-0.09899787604808807,
-0.095253154635... |
Given the task definition and input, reply with output. In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Sentence 1: People sit on the curb watching an event. Sentence 2: An event is happening with people watching.
| Some people are eating indoors. | 5 | NIv2 | task187_snli_entailment_to_contradiction_text_modification | zs_opt | [
-0.6210864782333374,
0.9895344972610474,
0.36831068992614746,
-0.2379463016986847,
-0.1103130504488945,
0.08822529762983322,
-0.2200426161289215,
0.37971481680870056,
0.4959205985069275,
-0.43415844440460205,
-0.807685375213623,
-0.2875432074069977,
-0.14526665210723877,
0.1073520183563232... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence. You must judge whether a single noun or verb has been replaced with another word with the same part of speech. The inversion would result in the sentence sounding unnatural, So unnatural sentences will be considered changed. Label the instances as "Original" or "Changed" based on your judgment.
And you 'll have every newcomer to work with us , because , sad to say , each one of you has already caught the virus . "
Output: | Changed | 1 | NIv2 | task515_senteval_odd_word_out | zs_opt | [
-0.7453318238258362,
0.9327282309532166,
-0.15853847563266754,
-0.1807243674993515,
-0.22445398569107056,
-0.2784055769443512,
0.04632061347365379,
0.6614072322845459,
0.23353591561317444,
-0.2965046763420105,
-0.6467366218566895,
-0.12384454905986786,
-0.38649216294288635,
0.1034941896796... |
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, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. 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 digs in PersonX's heels<sep>Tail: voice opinon
A: | Yes | 4 | NIv2 | task1214_atomic_classification_xwant | zs_opt | [
0.19901615381240845,
0.3572612404823303,
0.5299792289733887,
-0.1178835779428482,
-0.4961746037006378,
-0.7350093126296997,
1.2695541381835938,
0.07477392256259918,
-0.5524773597717285,
-0.42129936814308167,
-0.27579373121261597,
-0.48640477657318115,
-0.586111307144165,
0.1261655986309051... |
Part 1. Definition
In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Part 2. Example
Beginning: Helen lived in the state of Washington. Ending: Helen stayed home instead and planned to go another day.
Answer: Helen planned to drive to Canada but it started snowing heavily.
Explanation: Generally, people prefer not to drive in bad weather.
Part 3. Exercise
Beginning: Mark has always loved to drink wine. Ending: It was the perfect trip for a wine lover like Mark.
Answer: | Mark got an offer to visit wine country. | 7 | NIv2 | task067_abductivenli_answer_generation | fs_opt | [
-0.20760740339756012,
0.436398983001709,
-0.130941703915596,
-0.42765429615974426,
-0.2987081706523895,
0.42446714639663696,
0.5579311847686768,
0.5582000613212585,
-0.023344388231635094,
-0.34726381301879883,
-0.480935275554657,
-0.13894546031951904,
-0.1149354875087738,
0.279212415218353... |
You will be given a definition of a task first, then some input of the task.
In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form " A >causes/enables> B". Try to use phrases and sentences from the story to compose your answer when possible.
story: Gina had nothing left to read. She had been at her grandma's house for two weeks. In that time she'd read all the books she brought with her. She decided to ask her mom to take her to a bookstore. There were none nearby so she wouldn't take her.
selected sentence: She decided to ask her mom to take her to a bookstore.
Output: | Gina runs out of books >Causes/Enables> She asks her mom to take her to a bookstore | 1 | NIv2 | task614_glucose_cause_event_detection | zs_opt | [
-0.47775399684906006,
0.21575598418712616,
0.5823577046394348,
0.04097377508878708,
0.5919330716133118,
-0.48745131492614746,
0.28754743933677673,
0.968955397605896,
-0.10899170488119125,
0.2567763030529022,
-0.33027082681655884,
0.15714922547340393,
-0.30636507272720337,
-0.43795847892761... |
You are given a statement written in Malayalam. 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 .
[EX Q]: Statement: <MASK> സംസ്ഥാനമായ കർണാടകയിലെ മംഗലാപുരം ബൊലാരയിലെ ഒരു ഹിന്ദു ക്ഷേത്രമാണ് മംഗളദേവി ക്ഷേത്രം. നഗര കേന്ദ്രത്തിന് മൂന്ന് കിലോമീറ്റർ തെക്കുപടിഞ്ഞാറായി ഈ ക്ഷേത്രം സ്ഥിതിചെയ്യുന്നു. മംഗളദേവിയുടെ രൂപത്തിൽ ഹിന്ദുദേവതയായ ശക്തിയ്ക്കായി ഈ ക്ഷേത്രം സമർപ്പിച്ചിരിക്കുന്നു. മംഗലാപുരം നഗരത്തിന്റെ പേര് ദേവതയായ മംഗളദേവിയുടെ പേരിലാണ്. ഒൻപതാം നൂറ്റാണ്ടിൽ അലുപ രാജവംശത്തിലെ ഏറ്റവും പ്രശസ്തനായ രാജാവായിരുന്ന കുണ്ഡവർമ്മൻ ഒമ്പതാം നൂറ്റാണ്ടിൽ മത്സേന്ദ്രനാഥിന്റെ ആഭിമുഖ്യത്തിൽ പണികഴിപ്പിച്ചതാണ് ഈ ക്ഷേത്രമെന്നു കരുതപ്പെടുന്നു. മറ്റൊരു ഐതിഹ്യമനുസരിച്ച്, ഹിന്ദുദേവനായ വിഷ്ണുവിന്റെ പത്ത് അവതാരങ്ങളിലൊന്നായ പരശുരാമനാണ് ഈ ക്ഷേത്രം നിർമ്മിച്ചതെന്നും പിന്നീട് കുണ്ഡവർമ്മൻ ഇത് വികസിപ്പിച്ചതായും വിശ്വസിക്കപ്പെടുന്നു.
Option A: നേത്രാവതി
Option B: മലബാറിൽ
Option C: മംഗലാപുരം
Option D: ദക്ഷിണേന്ത്യൻ
[EX A]: ദക്ഷിണേന്ത്യൻ
[EX Q]: Statement: <MASK> വിവിധ സോഫ്റ്റ്വെയറുകളായ മോസില്ല ഫയർഫോക്സ്, മോസില്ല തണ്ടർബേഡ്, മോസില്ല ആപ്ലികേഷൻ സ്യൂട്ട് എന്നിവയും മോസില്ലയുടെ ഏറെക്കുറെ മറ്റെല്ലാ പദ്ധതികളും മോസില്ല പൊതു അനുമതിപത്രമാണ് ഉപയോഗിക്കുന്നത്. ഈ സോഫ്റ്റ്വെയറുകളുടെ എല്ലാം മറ്റു രൂപങ്ങളും എംപിഎൽ തന്നെയാണ് ഉപയോഗിക്കുന്നത്. മോസില്ലയെ കൂടാതെ മറ്റു സോഫ്റ്റ്വെയർ നിർമ്മാതാക്കളും എംപിഎൽ ഉപയോഗിക്കുന്നുണ്ട്. അഡോബിയുടെ ഫ്ലക്സ് എംപിഎൽ ആണ് ഉപയോഗിക്കുന്നത്.
Option A: മോസില്ലയുടെ
Option B: അഡോബിയുടെ
Option C: മൈക്രോസോഫ്റ്റിന്റെ
Option D: മോസില്ല
[EX A]: മോസില്ലയുടെ
[EX Q]: Statement: ബാർണെസിന്റെ ആദ്യത്തെ പുസ്തകം 'സം ലോവ്ലി ലൈവ്സ്' ആയിരുന്നു (നാഷ്വില്ലെ, 1885); ഇതിനേത്തുടർന്ന് 'ദി ലൈഫ് ഓഫ് ഡേവിഡ് ലിവിങ്സ്ടൺ' (നാഷ്വില്ലെ, ബ്രിഗാം & സ്മിത്ത്; 1887), 'സീൻസ് ഇൻ പയനീർ മെത്തഡിസം' (നാഷ്വില്ലെ, ബ്രിഗാം & സ്മിത്ത് 1889) തുടങ്ങിയ പ്രസിദ്ധീകരിക്കപ്പെട്ടു. പിന്നീട്, ആഫ്രിക്കയിലെ ഒരു കുട്ടിയുടെ കഥയായ 'ദചിൽഡ്രൻ ഓഫ് ദ കലഹാരി' എന്ന കൃതി രചിക്കുകയും, അത് <MASK> ഇംഗ്ലണ്ടിലും അതു വിജയകരമായിത്തീരുകയും ചെയ്തു. 1892-ൽ ‘ദ ഹൌസ് ഓഫ് ഗ്രാസ്’, ‘അറ്റ്ലാന്റ ഫെറിമാൻ: എ സ്റ്റോറി ഓഫ് ദ ചാറ്റഹൂച്ചീ’ എന്നീ രണ്ടു കൃതികൾ പ്രസിദ്ധീകരിക്കപ്പെട്ടു.
Option A: ടെന്നസി
Option B: ജോർജിയയിലെ
Option C: കൊളമ്പിയയിൽ
Option D: അമേരിക്കയിലും
[EX A]: | അമേരിക്കയിലും
| 6 | NIv2 | task949_wiki_cloze_ml_multiple_choice_question_answering | fs_opt | [
0.29237157106399536,
0.5250131487846375,
-0.704557478427887,
0.09190784394741058,
-0.2791156768798828,
-0.3851472735404968,
0.1743471920490265,
0.6607214212417603,
0.3724006414413452,
-0.3120969235897064,
-0.29511386156082153,
0.07145145535469055,
-0.6349167823791504,
-0.19086040556430817,... |
Teacher:You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.
Teacher: Now, understand the problem? Solve this instance: これは昨年1月17日の記事のうちの二つです
Student: | این تنها تعدادی از گزارش های ۱۷ ژانویه ی پارسال است. | 6 | NIv2 | task1098_ted_translation_ja_fa | zs_opt | [
-0.5799219608306885,
0.5267505645751953,
0.26172471046447754,
-0.6100213527679443,
0.03212755545973778,
-0.38737553358078003,
0.8342812061309814,
0.6495829820632935,
0.43533962965011597,
-0.22912022471427917,
-0.3722379803657532,
-0.1038445383310318,
-0.46236652135849,
0.23964077234268188,... |
Teacher:In this task, you're given the beginning and the ending of a three-part story. Your job is to complete the short story by writing a middle sentence that seamlessly connects the first and last sentence. Generated sentences must be short, have fewer than 10 words, and be simple as if narrating to a child. Avoid using any irrelevant extra information when creating the middle sentence, and use names (e.g. Jack, Barbara,...) instead of pronouns (e.g. he / she) wherever possible.
Teacher: Now, understand the problem? Solve this instance: Beginning: Bob was helping his girlfriend paint her nails. Ending: Bob realized he was pretty bad at nail-painting, after all.
Student: | Bob made a big mess with the nailpolish on his girlfriend's nails. | 6 | NIv2 | task067_abductivenli_answer_generation | zs_opt | [
-0.6114693880081177,
0.7116783857345581,
-0.09286876022815704,
-0.7636749148368835,
-0.31235164403915405,
-0.01251574233174324,
0.5285155773162842,
0.535346508026123,
-0.09116509556770325,
0.002696945797652006,
-0.24382825195789337,
0.11852402240037918,
0.11768899857997894,
-0.539027452468... |
Definition: In this task, you have to generate the named entities (NER) given its ingredients of the recipe. Named entities are the names of the items without their quantity.
Input: 4 1/2 c. One Minute oatmeal, 3 1/4 c. all-purpose flour, 2 1/4 c. sugar, 1 Tbsp. baking powder, 1 1/2 tsp. salt, 1 tsp. baking soda
Output: | oatmeal, all-purpose, sugar, baking powder, salt, baking soda | 2 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.4056563973426819,
0.7110753655433655,
-0.021346163004636765,
0.4408412575721741,
-0.09844984114170074,
-0.2943231761455536,
0.5723426938056946,
0.5345454216003418,
-0.27333083748817444,
-0.0994192436337471,
-0.2707691490650177,
-0.3856179714202881,
-0.4812428653240204,
-0.59559261798858... |
Detailed Instructions: Given a paragraph, generate a claim that is supported by the given paragraph. 1) The claim must contain information from within the paragraph. 2) A sentence within the paragraph can be used as a claim. 3) The claim should not have contradictions within the paragraph. 4) The claim should be at most one sentence long.
Q: Local officials and residents say the flamingo population is up to about 3,000 at Narta Lagoon, an important waterfowl habitat that greater flamingos returned to in recent years after a long absence. Bird watchers also have noticed more pelicans, herons and other species this spring at the 28-square-kilometer (10-square-mile) lagoon, which is 145 kilometers (90 miles) south of Tirana, the capital. “Isn’t that beautiful to see fearless flamingos all around?” Dhimiter Konomi, part of a local group that manages commercial fishing in Narta Lagoon, said as the big, long-necked birds stood in the shallow water. Operations halting at a nearby saltworks and reduced human activity of all types during the pandemic explains why birds are flocking to the lagoon, said Nexhip Hysolokaj, a regional biodiversity expert. Flamingos are “a very delicate species,” and not having vehicles or visitors around suits them, he said. “They have found food and calmness, and that has likely helped them increase the numbers,” Hysolokaj said. Researchers plan to study the flamingos to see if the coronavirus-induced calm is conducive to establishing the lagoon as a place where they can nest and breed. Konomi says a lagoon crowded with feathered life is a treasure that could boost tourism. But Hysolokaj is less keen to attract conventional tourists to the lagoon, which is part of a protected landscape of sand dunes, wetlands, islands and beaches that supports diverse fauna as well as birds. He described it as the “lung” of Vlora, the nearest city. “There should be a stable but alternative tourism, naturally letting campers come, beaches used, with environmental biking, educational paths and more because it’s so close to Vlora,” Hysolokaj said. ___ Associated Press writer Llazar Semini contributed from Tirana, Albania. ___ Follow AP pandemic coverage at http://apnews.com/VirusOutbreak and https://apnews.com/UnderstandingtheOutbreak
A: | With fewer humans to fear, flamingos flock to Albania lagoon. | 9 | NIv2 | task1368_healthfact_sentence_generation | zs_opt | [
0.9015164971351624,
0.5558030605316162,
-0.4957720637321472,
0.06434398889541626,
0.06766327470541,
-0.8699228167533875,
0.4525832533836365,
0.5093855857849121,
-0.5411118268966675,
0.04599756747484207,
-0.5875508785247803,
0.6573047637939453,
-1.541032314300537,
0.06411582976579666,
0.2... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Example explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
Q: Y creo que la razón de que fuera un estudiante tan malo es que sentí que la educación era solo una serie de obstáculos que habían sido erigidos delante de mí, y que tenía que saltarlos para alcanzar la edad adulta.
A: | و فکر کنم دلیل این که چنین دانش آموز وحشتناکی بودم این است که حس می کردم تحصیلات هم جز آن مجموعه موانعی است که پیش رویم سبز شده بود ، و برای رسیدن به بزرگسالی باید از رویشان می گذشتم. | 3 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
-0.22933343052864075,
0.2737470865249634,
-0.21019326150417328,
-0.35445040464401245,
-0.07934403419494629,
-0.11486494541168213,
0.2586643099784851,
0.7773606777191162,
-0.41028454899787903,
-0.2934338450431824,
-0.30412471294403076,
0.19826960563659668,
-0.47113656997680664,
-0.363902330... |
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.
Example Input: CONTEXT: Impacto cultural
Se considera que el aumento en la popularidad del género fantástico en la época contemporánea ayudó a consolidar el éxito de Game of Thrones. Previo al estreno de la segunda temporada, Joel Williams —de CNN— opinó que «después de este fin de semana, será difícil encontrar a alguien que no sea fanático de alguna forma de fantasía épica» en referencia a la notoriedad de otras adaptaciones cinematográficas del mismo género como la trilogía cinematográfica de El Señor de los Anillos y la franquicia de Harry Potter, las cuales calificó como «las drogas de introducción a la cultura de los fanáticos de la fantasía». Sudeep Dasgupta, en su obra Policing the People: Television Studies and the Problem of "Quality" (2012), argumentó que la producción de HBO puede considerarse también como la adaptación «de un marco industrial que expande los parámetros existentes de lo que constituye la "televisión de calidad" en la era sucesora de las cadenas televisivas», al ayudar a redefinir las características de la alta fantasía y su audiencia.
QUESTION: ¿Cómo se titula el libro que escribió Sudeep Dasgupta?
Example Output: Policing the People: Television Studies and the Problem of "Quality"
Example Input: CONTEXT: Se denomina artes decorativas a todas aquellas actividades relacionadas con el arte o la artesanía destinadas a producir objetos con una finalidad a la vez utilitaria y ornamental. Son por lo general obras realizadas con una elaboración industrial o artesanal pero persiguiendo una cierta finalidad estética. El concepto es sinónimo de las llamadas artes aplicadas o artes industriales, también llamadas a veces artes menores en contraposición a las artes mayores o bellas artes. En cierto sentido, las artes decorativas es un término aplicado preferentemente a las artes industriales, así como a la pintura y la escultura, cuando su objetivo no es el de generar una obra única y diferenciada, sino que buscan una finalidad decorativa y ornamental, con una producción generalmente seriada.
QUESTION: ¿A qué tipo de obras se aplica prioritariamente el calificativo de artes decorativas?
Example Output: a las artes industriales
Example Input: CONTEXT: Ruocco opinó que "un corte económico del tamaño que está irritando a Argentina debe ser muy necesario para ellos", pero consideró que a Uruguay lo va a afectar porque ese país entrará en un período recesivo. En este contexto, el volumen de las exportaciones que Uruguay vende a Argentina se verá disminuido, señaló. Posteriormente, en opinión de Ruocco, "vendrá la necesidad de vender, porque las empresas de Argentina van a salir a competir duramente con las uruguayas en los otros mercados internacionales". El presidente argentino anunció el pasado lunes un nuevo paquete de medidas destinadas a bajar el gasto público, que implica una reducción de entre el 12 y el 15 por ciento de los salarios de los empleados públicos. Durante la reunión se aseguró asimismo que la reactivación esperada por el gobierno de Uruguay tras la crisis de Brasil no ha llegado. Sin embargo, el presidente de la CIU dijo que compartía algunas de las medidas adoptadas por el presidente Jorge Batlle, como el recorte del gasto público y las desregulaciones, pero advirtió de que el año 2000 "no muestra mejorías y la industria nacional peligra".
QUESTION: ¿Cuál es el objetivo de las medidas?
Example Output: | bajar el gasto público
| 3 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
0.01567104458808899,
0.4859655499458313,
-0.3597312569618225,
-0.05916814133524895,
0.6528241634368896,
0.22469355165958405,
0.18505001068115234,
0.44369566440582275,
-0.5087425708770752,
0.14030756056308746,
0.1646147072315216,
0.5832874178886414,
-0.33178961277008057,
-0.2076953053474426... |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to choose whether the two sentences clearly agree (entailment)/disagree (contradiction) with each other, or if this cannot be determined (neutral). Your answer must be in the form of the numbers 0 (entailment), 1 (neutral), or 2(contradiction).
Problem:sentence_A: A black cat is swinging on a fan. sentence_B: A cat is swinging on a fan
Solution: | 0 | 8 | NIv2 | task1612_sick_label_classification | zs_opt | [
-0.942503035068512,
0.21368452906608582,
0.2549801766872406,
0.1389356553554535,
0.248367577791214,
-0.8180402517318726,
0.057400889694690704,
0.6209592819213867,
0.4203944802284241,
0.14675280451774597,
-0.2539156973361969,
-0.15814101696014404,
-0.3889837861061096,
-0.10946231335401535,
... |
Instructions: In this task you will be given a list of numbers and you need to find the mean (average) of that list. The mean of a list can be found by summing every number in the list then dividing the result by the size of that list. The output should be rounded to 3 decimal places.
Input: [56.33, -49.847, 176.505, -72.615, 133.421, 231.206, 29.368, 181.205]
Output: | 85.697 | 3 | NIv2 | task094_conala_calculate_mean | zs_opt | [
-0.3141467273235321,
0.33216995000839233,
-1.2084615230560303,
-1.1224963665008545,
0.16758152842521667,
0.29300475120544434,
0.3422747254371643,
0.22198238968849182,
-0.11611589044332504,
0.08148878812789917,
-1.2744202613830566,
0.33764949440956116,
-0.9689409136772156,
0.030274147167801... |
You will be given a definition of a task first, then some input of the task.
This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.
Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).
CONTEXT: 25 de septiembre de 2011 El satélite en caída libre de la NASA, UARS (Satélite de Investigación de la Alta Atmósfera) cayó a la Tierra la madrugada de ayer según lo confirmó ese organismo aunque su paradero es desconocido. El UARS re-ingresó a la atmósfera terrestre sobre el Océano Pacífico y mensajes en Twitter apuntan a que algunos escombros cayeron sobre la ciudad de Okotoks, al oeste de Canadá. Las probabilidades de ser impacto por alguna pieza del satélite eran de 1 en 3200 según la NASA. El satélite viajó por Canadá y África, así como sobre vastas zonas de los océanos Pacífico, Atlántico e Indico antes de desplomarse. El UARS tenía la longitud de un tamaño de bus y su peso era cercano a seis toneladas. Según la NASA unas 26 piezas grandes podrían haber sobrevivido al re-ingreso y caerían a la Tierra. La Administración Federal de Aviación de EE. UU. emitió una alerta a los pilotos de avión debido a que el UARS se consideraba un peligro latente para las aeronaves. La NASA dejó en claro un mensaje en el que prohibía a cualquier persona tocar los escombros del UARS "pues son del Gobierno de Estados Unidos". La NASA informó que aún hay más basura espacial que caerá a la Tierra en los próximos años o incluso meses. Se trata del telescopio alemán ROSAT que se desplomará en el mes de octubre. El ROSAT fue lanzado al espacio en 1990 y pesa 2,4 toneladas. Los posibles escombros del ROSAT "también son del Gobierno de Estados Unidos y no deben ser tocados por nadie" comunicó la NASA. Ante este tipo de eventos, la NASA informó que la caída de basura espacial no es común, pero tampoco es algo excepcional.
ANSWER: la madrugada de ayer
Output: | ¿Cuándo impactó la Tierra el UARS? | 1 | NIv2 | task1335_sqac_question_generation | zs_opt | [
0.019020453095436096,
0.5835598707199097,
-0.40015679597854614,
-0.17463397979736328,
0.3867886960506439,
0.24764417111873627,
1.0611239671707153,
0.7169373035430908,
-0.4609605073928833,
0.23673191666603088,
-0.7333666086196899,
0.7800605297088623,
-0.15811258554458618,
0.2746259272098541... |
In this task, you're given an open-domain question. Your task is to provide an answer to the given question. There is only one unique answer for each question. Your answer should be short, and refer to an entity, date, number, etc. Do not put your answer in the context of a sentence.
[Q]: What episode does michael and sara get together?
[A]: The Final Break
[Q]: Where is the world's oldest mini golf course found?
[A]: 4083 Culver Rd., Sea Breeze, New York
[Q]: When did table tennis become an olympic sport?
[A]: | 1988 Summer Olympics
| 5 | NIv2 | task669_ambigqa_answer_generation | fs_opt | [
-0.31902721524238586,
0.5175525546073914,
-0.4048352837562561,
-0.22360585629940033,
-0.15694046020507812,
0.07213826477527618,
1.30451500415802,
0.21478407084941864,
0.40805768966674805,
-0.02916245348751545,
-0.18031276762485504,
0.4213409423828125,
-0.3417752981185913,
-0.05043803900480... |
Teacher:You are given an original reference as well as a system reference. Your task is to judge the quality of the system reference. If the utterance is grammatically correct and fluent output 1, else output 0.
Teacher: Now, understand the problem? Solve this instance: System Reference: he san francisco marriott marquis is located near soma.
Original Reference: the san francisco marriott marquis is near soma.
Student: | 0 | 6 | NIv2 | task1283_hrngo_quality_classification | zs_opt | [
-0.08114805817604065,
0.8754910826683044,
-0.40974730253219604,
-0.38668209314346313,
-0.06811635941267014,
-0.9956853985786438,
0.5883030891418457,
0.41009873151779175,
0.48165759444236755,
0.15999659895896912,
-0.3573102653026581,
-0.09251350909471512,
-0.44631871581077576,
-0.3446838259... |
In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Aceia sunt parțial psihopați. | Those are partial psychopaths. | 0 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
-0.1133137196302414,
0.28627800941467285,
0.37873947620391846,
-0.5910892486572266,
-0.642912745475769,
-0.5629853010177612,
1.4728617668151855,
0.022586610168218613,
1.5068272352218628,
-0.2746705710887909,
-0.45859813690185547,
0.7743056416511536,
-0.9858575463294983,
0.01629626005887985... |
Q: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.
הוא שם אותם ביחד, עיצב אותם למשהו יותר מעניין מאשר המרכיבים המקוריים ואז הכניס את כל זה לתוכנה זו, שלפי דעתי בנו פיתח אותה במקור, ויצר את המצגת הנפלאה הזו.
A: | ووضعها مع بعضها ، جمعها في شكل أكثر جاذبية من القطع الأصلية وبعد ذلك أدخلها في هذا البرنامج ، الذي أعتقد أن ابنه قام بتطويره ، من الأساس ، وأنتج هذا التقديم المدهش ، | 7 | NIv2 | task1237_ted_translation_he_ar | zs_opt | [
-0.4213206470012665,
0.6330951452255249,
0.5711224675178528,
-0.3118046522140503,
-0.3839796185493469,
0.41299915313720703,
0.7911331057548523,
0.3157411217689514,
1.1493442058563232,
0.16242249310016632,
-0.764255940914154,
0.41850972175598145,
-0.813217282295227,
0.8184261322021484,
-0... |
Definition: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.
Input: لذلك يمكنكم رؤية أن في أقدم كتب التقليد الإغريقي هوميروس ، هناك زيادة صغيرة في كون الكتب تقترب من مفهوم التأمل الذاتي.
Output: | ホメロスの伝承の時代には内省に近づいた書物の増加傾向は小さく | 2 | NIv2 | task1231_ted_translation_ar_ja | zs_opt | [
-0.39220964908599854,
-0.07892104983329773,
-0.6723849177360535,
-0.6812432408332825,
0.030572472140192986,
-0.02785845659673214,
1.0417826175689697,
-0.8145664930343628,
1.144848346710205,
-0.7395089864730835,
-0.7352405786514282,
-0.11401063203811646,
-0.9700300693511963,
-0.007535113021... |
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.
Q: CONTEXT: Servicios
Debido a su tardía incorporación a la zona urbana, así como a sus particulares características topográficas, la delegación posee una complicada red de vialidades. En el norte, el límite con Tlalpan es señalado por el Anillo Periférico de la ciudad de México, que se prolonga hasta el Canal de Chalco en el límite con Iztapalapa. Las principales vías de acceso a la delegación la constituyen la avenida División del Norte y la calzada México-Xochimilco. La primera de ellas comienza en el centro de la ciudad, y sigue hacia el sureste hasta el puente de Vaqueritos --que antes de la construcción del segundo nivel del Periférico era el puente vehicular más largo de la ciudad con 1,1 kilómetros de longitud. De ahí, se interna en territorio xochimilcas hasta la cabecera delegacional, de donde sigue con diversas ramificaciones hacia los pueblos de Tulyehualco, en el oriente, o rumbo a Oaxtepec, en el estado de Morelos, pasando por Milpa Alta. Por otra parte, la calzada México-Xochimilco comienza en Huipulco, cerca del estadio Azteca, y se interna en la delegación Xochimilco por Santa María Tepepan. También llega hasta la cabecera delegacional, aunque algunas de sus ramificaciones hacia el sur atraviesan los pueblos de Tepalcatlalpan y San Lucas Xochimanca.
QUESTION: ¿Dónde comienza la avenida División del Norte?
A: en el centro de la ciudad
****
Q: CONTEXT: Economía
Pertenece al área de influencia comercial de Sevilla por gravitación directa y presenta un bajo índice de desempleo que se traduce en un mayor índice de inmigración y mayor proporción de varones en edad de trabajar. USISA (Unión Salazonera Isleña S.A.) es la empresa más importante del municipio (y segunda de su sector en Andalucía) y la actividad tradicional la pesca.El turismo ha cobrado mucha importancia, sobre todo desde el desarrollo de la mancomunidad de Islantilla (a partir de 1990). El sector servicios cobra cada vez más importancia. En 2006 el sector que mayor número de establecimientos aglutinaba (511 en total) era el de comercio (reparación de vehículos de motor, motocicletas y ciclomotores y artículos personales y de uso doméstico) seguido por el de actividades inmobiliarias y de alquiler; servicios empresariales, con 233 establecimientos le seguía en importancia.
QUESTION: ¿De qué es acrónimo USISA?
A: Unión Salazonera Isleña S.A.
****
Q: CONTEXT: Nunca dejaré de fumar, murmuró varias veces, imprimiendo a sus labios la monótona cadencia de una letanía, nunca dejaré de fumar, hasta que sintió que las paredes de sus pulmones se soldaban, cerrándose al aire, y ya no pudo escupir palabra alguna, sólo toser, expulsar los sólidos demonios de su pecho, un recinto insólitamente breve, tosiendo con la cabeza hundida entre los hombros, los ojos fijos en la grasa vieja que nivelaba como una pasta lisa y brillante el irregular perfil del suelo embaldosado, y los dos brazos tendidos hacia delante, sus manos empujando las frágiles puertas del armario de cocina como si pretendieran en realidad proyectarlo a través de la sucia pared alicatada. Nunca dejaré de fumar, repitió nuevamente, jadeando todavía, apenas pudo mover los labios. Entonces elevó la vista, y advirtió por primera vez que sus brazos ya no eran paralelos. Desconcertado, contempló largo tiempo aquel desagradable fenómeno, su cuerpo aún abandonado hacia delante, confiado su peso a las manos que parecían a punto de horadar la formica con sus inofensivas yemas. Los diez dedos, extendidos, dibujaban un diagrama familiar, de reconfortante simetría, pero más allá de la muñeca las líneas de sus brazos divergían.
QUESTION: ¿De qué se dio cuenta por primera vez en ese momento?
A: | sus brazos ya no eran paralelos
****
| 4 | NIv2 | task1334_sqac_answer_generation | fs_opt | [
-0.06389512866735458,
0.4102553129196167,
-0.17317911982536316,
0.27257466316223145,
0.7312120795249939,
0.08996103703975677,
0.894636869430542,
1.3295565843582153,
0.18032033741474152,
0.04538259655237198,
0.2077982872724533,
0.5557376146316528,
-0.3121609091758728,
-0.04742998629808426,
... |
In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
Q: [-76.798 -95.726]
A: | -95.726 | 4 | NIv2 | task095_conala_max_absolute_value | zs_opt | [
0.4771522879600525,
0.38399234414100647,
-0.04933229088783264,
0.5996322631835938,
0.1818239390850067,
-0.32703524827957153,
1.0583237409591675,
1.078843116760254,
0.12801925837993622,
-0.1754995435476303,
-0.27415698766708374,
0.15775039792060852,
0.026471197605133057,
0.18967270851135254... |
Given a document, generate a short title of the document. The title should convey the main idea/event/topic about which the document is being written. Note that URLs in the text have been replaced with [Link].
Q: But both Spinelli and Liman understood that , as with the Bush family , they could n't tell Seal 's story and not at least tip their hats to the cottage industry of fringe Clinton conspiracies involving him .
The most eyebrow-raising moments in American Made , however , come when Seal crosses paths with two other major historical figures : Bill Clinton and George W. Bush .
Seal was murdered in 1986 , by Colombian nationals allegedly carrying out a contract on his life -- a fact that , coupled with the fuzzy details surrounding his possible collusion with federal intelligence officials , makes him terrific fodder for a different kind of storytelling , and is ultimately what led the filmmakers to include Clinton and Bush in American Made .
For example , Spinelli said , "one of the big conspiracy theories around Barry is that he was -LSB- George -RSB- H.W. Bush 's personal pilot , and when Barry was killed , he had Bush 's phone number in his back pocket ."
Which is how American Made , which opens Sept. 29 , ended up with a scene in which Seal is waiting for a meeting at the White House while sitting next to a young George W. Bush -LRB- Connor Trinneer -RRB- as they exchange small talk about piloting planes .
"I just wanted to put a little fun thing between Barry and George W. Bush to just sort of say , ` We 're not ignorant of those allegations , '" said Liman ."
Spinelli said that since Seal reportedly did visit the Reagan White House , he was OK with placing him next to Bush , who also regularly visited the White House when his father was vice president .
"You know , there 's dramatic license there , but both -LSB- Seal and Bush -RSB- were pilots , and I just thought it would be a cool moment to have -LSB- H.W. Bush 's -RSB- son meet Barry in the hallway ," he said .
-LRB- Representatives for George W. Bush did not respond to a request to comment . -RRB-
A: | Why Bill Clinton And George W. Bush Are Portrayed In A Tom Cruise Movie About An Infamous Drug Smuggler . | 4 | NIv2 | task418_persent_title_generation | zs_opt | [
-0.24431514739990234,
0.4600387513637543,
-0.34375208616256714,
0.49255621433258057,
0.45506125688552856,
0.028493866324424744,
0.590557336807251,
0.7523095011711121,
-0.02902580425143242,
1.0317842960357666,
0.3268207013607025,
1.0170838832855225,
0.10545206815004349,
0.034927185624837875... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Finnish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Finnish language. 2) Also names ,dates and places should be preserved it should not get translated.
For an instant he sat in silent amazement. Then he burst into a hearty laugh. | Ensin istui hän ääneti ja hämillään, ja sitten hän purskahti sydämelliseen nauruun. | 0 | NIv2 | task1650_opus_books_en-fi_translation | zs_opt | [
-0.5775736570358276,
0.7855782508850098,
0.37120842933654785,
-0.4761804938316345,
0.08946885168552399,
-0.36188745498657227,
1.1428394317626953,
-0.05633282661437988,
0.1409173607826233,
-0.5386064052581787,
-0.372894823551178,
0.885602593421936,
-1.324844241142273,
0.5260536670684814,
... |
You will be given a definition of a task first, then some input 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 'll be there till Monday . It 's sad that my first time there will be for Papi 's funeral but atleast I 'll get to see him one more time . I spent all of today with my parents at the passport place downtown .
Question: What may happen after Monday ?
Correct Answer: They will have grandpas burial.
Output: | we will be flying to attend funeral. | 1 | NIv2 | task025_cosmosqa_incorrect_answer_generation | zs_opt | [
-0.0443410687148571,
0.8119890093803406,
-0.037800561636686325,
0.24605360627174377,
-0.36718693375587463,
-0.3626967966556549,
0.9697336554527283,
0.6533535122871399,
0.13662835955619812,
-0.024919871240854263,
-0.5157508850097656,
-0.11333441734313965,
0.2620110511779785,
0.3082730770111... |
Given the task definition and input, reply with output. In this task, you're given a passage, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both passage and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the passage or linked information.
Passage: Eisner had used some of Digital Domain's processors to render images for his film, and the company suggested he meet with some commercial production houses. Thus began his career as a director of commercials, and after only a year-and-a-half, Eisner had directed 14 high-profile spots. His first commercial was Budweiser's Powersurge, which aired during the 1997 Super Bowl. He also took the helm for Rold Gold pretzels' "Comrades" starring Jason Alexander, which featured Pretzel Boy on a rescue mission to the Mir space station. Eisner's two anti-smoking spots for the California Department of Health Services, "Gala Event" and "Funeral", were selected as Best Spots in back-to-back issues of Adweek. In addition, Eisner's "Mad Dog" for Coors's Zima aired during the Seinfeld finale and was chosen by USA Today "Ad Meter" as the #1 spot. He has also done commercials for Sony, Sega and Coca-Cola.
Link Information: The series ended with a seventy-five-minute episode (cut to 60 minutes in syndication, in two parts) written by co-creator and ex-executive producer Larry David, which aired on May 14, 1998. Answer: 1998
| What year did Eisner's "Mad Dog" ad for Zima originally air? | 5 | NIv2 | task236_iirc_question_from_passage_answer_generation | zs_opt | [
-0.04956959933042526,
0.3581905961036682,
-0.20356163382530212,
0.08422400057315826,
-0.33586636185646057,
0.4716680347919464,
0.39035943150520325,
0.7568013072013855,
-0.010206618346273899,
0.22288715839385986,
-0.008282089605927467,
0.7948551177978516,
-0.04108363762497902,
-0.0449101142... |
TASK DEFINITION: A piece of text from one of these 5 languages - French, English, Dutch, Somali, Tagalog is given. Generate the language to which the text belongs.
PROBLEM: Text: Onwetendheid van de instrumenten voor uw winkel promotie zou kunnen eindigen in een gebrek aan verkeer en (vandaar) minder orders.Zelfs als je een team dat verantwoordelijk is voor een deel van uw bedrijfsprocessen, je nodig hebben om hun werk op zijn minst door te begrijpen 30%.
SOLUTION: Dutch
PROBLEM: Text: Organiseer een vakantie volgens jouw eigen noden en geniet van alle faciliteiten van je appartement.
SOLUTION: Dutch
PROBLEM: Text: Het model is bewezen duurzaamheid, hoge UV-bestendigheid en in de eerste plaats, dat voetbal gras is zacht en veilig is voor de studenten.
SOLUTION: | Dutch
| 8 | NIv2 | task447_opus_paracrawl_classification | fs_opt | [
0.31116369366645813,
0.3314853012561798,
0.10714200139045715,
-0.22512918710708618,
0.433505117893219,
-0.25974419713020325,
0.04733796417713165,
0.5974410176277161,
0.10237904638051987,
0.24282747507095337,
0.15754202008247375,
0.7410247325897217,
-0.5238536596298218,
-0.17320111393928528... |
Detailed Instructions: You are given a review about a place. You need to provide a rating from "1 star" to "5 stars" for this place.
Q: Get the waffle cone! The surprise at the end is a nice surprise!\nMany flavors to pick from and the employees are always nice.\nMissing a 5th star only because they do not take cards which can be a bummer! ATM on site but it charges a fee. :(
A: | 4 stars | 9 | NIv2 | task1292_yelp_review_full_text_categorization | zs_opt | [
0.6465685367584229,
0.04312798008322716,
-0.446977436542511,
-0.3350173234939575,
0.41322335600852966,
-0.5739669799804688,
0.27299171686172485,
0.9665317535400391,
0.12528416514396667,
0.199136421084404,
0.8278915882110596,
-0.5298222303390503,
-0.5908081531524658,
0.45855268836021423,
... |
Given a sentence and two mentions from the text (arguments), indicate a phrase (a verb or noun phrase) that describes the relationship between the provided arguments.
Q: Sentence: 'The caves here are later than the ones at Ajanta - as Buddhism waned and Hinduism had a renaissance as the main religion of India , Ajanta was forgotten and Ellora came into being , although not all the caves here are Hindu - out of 34 caves , 12 are Buddhist , 17 Hindu and five Jain .', Argument/Subject 1: 'hinduism', Argument/Subject 2: 'indium'
A: | be religion of | 4 | NIv2 | task676_ollie_relationship_answer_generation | zs_opt | [
0.28956538438796997,
0.31048157811164856,
-0.216038316488266,
-0.016830792650580406,
-1.2965874671936035,
-0.5116375684738159,
-0.2694547474384308,
0.5769537687301636,
-0.46154770255088806,
-0.9217334985733032,
0.025190971791744232,
0.13070818781852722,
-0.59181147813797,
0.423534333705902... |
Detailed Instructions: In this task, you are given a list of integers and an integer k. You need to find the kth smallest element in the input list and return that.
See one example below:
Problem: [163, 290, 90, 51, 96, 86, 282, 265, 10, 85, 91, 201, 68, 126, 26, 228, 229, 236, 31, 71], k=14
Solution: 201
Explanation: 201 is the 14th smallest element in the input list.
Problem: [117, 89, 182, 76, 216, 86, 31, 283, 142, 237, 178, 35, 200, 232, 23, 296, 211, 273, 192, 10], k=12
Solution: | 192 | 4 | NIv2 | task1406_kth_smallest_element | fs_opt | [
-0.14915384352207184,
0.845415472984314,
-0.4704004228115082,
-0.6764634251594543,
-0.3032273054122925,
-0.16698336601257324,
1.5553990602493286,
-0.5119430422782898,
-0.24309608340263367,
0.5140222311019897,
-0.8704612255096436,
-0.04512409493327141,
0.2017897516489029,
0.0601117908954620... |
In this task, You are given an amazon food product review and its summary. Your task is to Generate "True" if given review and its summary match, otherwise generate "False".
One example is below.
Q: 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.
Summary: Good Quality Dog Food
A: True
Rationale: The customer talked about dog food which was good. So, it's a correct Summary. So, the correct answer is true.
Q: I ordered these after a fair bit of searching online - even ordering the smaller 1-3oz bags. I will admit, I was a bit sceptical when I ordered this since it was not cheap and had no idea how good (or bad) the cashews would be... The order came in pretty fast - like 3 days. The cashews were fresh and whole - with like 10 broken pieces. They were in 2 5lb bags sealed with clear tape.. first I found it odd but then it turned out to be a good deal; considering the second pack stayed fresh till I opened them. The trick is to actually keep them in an air-tight box so that they stay fresh longer. The only negative I can think of is that the price went up abt $5.00 for the 10lb since I bought them.
Summary: Fresh - Whole.. perfect
A: | True | 9 | NIv2 | task590_amazonfood_summary_correction_classification | fs_opt | [
0.06893231719732285,
-0.8277458548545837,
0.09368623048067093,
-0.18094989657402039,
0.12068969011306763,
-0.36508122086524963,
-0.32553791999816895,
0.912520170211792,
-0.5466607213020325,
-0.3275997042655945,
-0.4003342092037201,
0.05037103593349457,
-0.5947784185409546,
-0.2445402443408... |
In this task, you're given two sentences, sentence 1 and sentence 2, and the genre they belong to. Your job is to determine if the two sentences belong to the same genre or not. Indicate your answer with Y and N respectively. Genres available include: face-to-face, government, letters, 9/11, slate, telephone, travel, verbatim, oup, fiction. Sentences belonging to 'face-to-face' genres relate to conversations or dialogues, 'government' encompasses information released from public government websites, 'letters' refers to any written work for philanthropic fundraising, '9/11' relates to information pertaining to the 9/11 attacks, 'oup' includes non-fiction works on the textile industry and child development, 'slate' refers to any cultural topic that appears in the slate magazine, 'telephone' includes telephonic dialogue, 'travel' deals with information in travel guides, 'verbatim' includes short posts regarding linguistics, and 'fiction' includes popular works of fiction like 'The Secret Adversary' etc.
Input: Consider Input: Sentence 1: The mortality and chronic bronchitis health endpoints are the most influential in our estimation of monetized benefits, because they account for over 95 percent of the total estimated monetized benefits of the Clear Skies Act. Sentence 2: The pet is more valuable than other human beings as they're far cuter. Genre: slate.
Output: N
Input: Consider Input: Sentence 1: how many cats do you have oh okay Sentence 2: The TGV goes to multiple locations. Genre: travel.
Output: N
Input: Consider Input: Sentence 1: Fossils tell an obscure story of man's slow and sporadic development. Sentence 2: All movies are too violent nowadays. Genre: telephone.
| Output: N
| 2 | NIv2 | task204_mnli_same_genre_classification | fs_opt | [
-1.0906726121902466,
0.6863703727722168,
-0.05590186268091202,
-0.3764529228210449,
0.09885528683662415,
0.16060669720172882,
0.16329573094844818,
0.769589900970459,
0.1397230625152588,
0.056911710649728775,
-0.5514997839927673,
0.26007699966430664,
-0.4463343620300293,
-0.2601427733898163... |
Detailed Instructions: In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task ("polarity","situational"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as "ironic" or "not" based on your judgment. Note that URLs in the text have been replaced with [Link].
Q: I don't like clowns but I'm going to be one.
A: | ironic | 9 | NIv2 | task386_semeval_2018_task3_irony_detection | zs_opt | [
-1.3318588733673096,
0.46216055750846863,
0.6868698596954346,
0.30723249912261963,
-0.3923381268978119,
0.311049222946167,
0.48207390308380127,
0.07228469103574753,
0.7438235878944397,
-0.13777397572994232,
-0.2673035264015198,
-0.17299573123455048,
-0.6533434391021729,
-0.0002519367262721... |
In this task, you are given a question containing a blank (_) and two options. You should pick the best option to answer the question. Please answer with "A" or "B".
Ex Input:
Jessica wanted to fix a broken nail while Elena wanted to fix a broken friendship. _ fixed the broken nail. (A) Jessica (B) Elena
Ex Output:
A
Ex Input:
Emily was a baptist and always went to church unlike Betty, because _ was a non-believer. (A) Emily (B) Betty
Ex Output:
B
Ex Input:
Betty was studying to become a doctor and Emily was very supportive. When she failed a test, _ encouraged her not to give up. (A) Betty (B) Emily
Ex Output:
| B
| 1 | NIv2 | task1391_winogrande_easy_answer_generation | fs_opt | [
-0.019983451813459396,
0.5243974924087524,
0.15371140837669373,
-0.09012972563505173,
-0.20290417969226837,
-0.8050089478492737,
0.702934741973877,
0.8133214116096497,
0.3051995038986206,
0.23992779850959778,
0.5188009738922119,
0.6485179662704468,
0.6313359141349792,
-0.20326462388038635,... |
Definition: In this task, given a sentence in the English language, your task is to convert it into the Filipino language.
Input: Navi Pillay, the UN's Human Rights watchdog, was particularly critical of Prime Minister Julia Gillard's asylum seeker trade deal with Malaysia.
Output: | Si Navi Pillay, ang tagabantay ng Karapatang Pantao ng UN, ay lubhang kritikal sa kasunduan sa paghahanap ng asilo ni Prime Minister Julia Gilliard sa pagitan ng Malaysia. | 2 | NIv2 | task559_alt_translation_en_fi | zs_opt | [
-1.26230788230896,
-0.030134040862321854,
0.021550290286540985,
-0.6196997761726379,
0.2536858320236206,
0.19728142023086548,
0.2755644619464874,
-0.17242100834846497,
-0.2804935574531555,
0.3483063280582428,
-0.5488160252571106,
-0.2149103283882141,
-0.10499086230993271,
-0.09075546264648... |
You will be given a definition of a task first, then some input of the task.
Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Ты бы пошла в школу, потому что твои владельцы заставляют тебя.
Output: | Ты ходила бы в школу, потому что твои родители заставляли тебя. | 1 | NIv2 | task410_mickey_ru_sentence_perturbation_generation | zs_opt | [
-0.3124675154685974,
0.5582649111747742,
0.29329150915145874,
-0.2843589186668396,
-0.2785186767578125,
0.5026538968086243,
0.3158143162727356,
0.8755360841751099,
0.38234943151474,
-0.48392656445503235,
-0.6912932395935059,
-0.2839643061161041,
-0.06749702990055084,
-0.24826475977897644,
... |
In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by "#". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.
Example input: mountain#ski#skier
Example output: Skier skis down the mountain
Example explanation: Generated sentence as output is based on all three concepts "mountain", "ski", and "skier" given in the concept set.
Q: family#park#picnic
A: | family on the picnic in park | 3 | NIv2 | task102_commongen_sentence_generation | fs_opt | [
-0.643898069858551,
0.27860796451568604,
-0.6908062696456909,
-0.3427572250366211,
-0.2588404715061188,
-0.7244812846183777,
0.49157488346099854,
0.47379153966903687,
0.4501522183418274,
-0.6440714597702026,
-0.33549538254737854,
0.7351320385932922,
-0.685645580291748,
0.12075106799602509,... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Example: Relationship: 'knock', Argument/Subject 1: 'someone', Argument/Subject 2: 'it'
Example solution: The mailbox was bent and broken and looked like someone had knocked it over on purpose.
Example explanation: The generated sentence contains the two given subjects - someone and it, and they are related to each other on the basis of the given relationship - knocked
Problem: Relationship: 'be locate in', Argument/Subject 1: 'san antonio', Argument/Subject 2: 'texa'
| Solution: Gift and Gourmet is your one stop gift shop located at 751 North Austin Street in beautiful Seguin Texas just minutes away from San Antonio , New Braunfels and San Marcos . | 5 | NIv2 | task677_ollie_sentence_answer_generation | fs_opt | [
0.18898195028305054,
0.5892072916030884,
-0.018035467714071274,
0.17912228405475616,
0.35751932859420776,
-0.6373950242996216,
0.24756887555122375,
1.0062618255615234,
-0.015119987539947033,
-0.38538187742233276,
0.027370510622859,
0.07704326510429382,
-1.1215229034423828,
-0.1378543525934... |
Given the task definition and input, reply with output. Given news headlines, an edited word and funniness labels. The original sentence has word with the given format {word}. Create new headlines by replacing {word} in the original sentence with edit word. Your task is to generate answer "Yes" if an edited sentence matches funniness label, otherwise generate answer "No".
News Headline: Comey Testimony : Trump Faces Cost of Listening to Bad {Advice}
Edit: music
Label: Funny
| Yes | 5 | NIv2 | task496_semeval_answer_generation | zs_opt | [
-0.6042772531509399,
0.4498496651649475,
0.20292659103870392,
0.0833175927400589,
-0.4879522919654846,
-0.29988130927085876,
-0.22885029017925262,
0.7467021942138672,
-0.18595942854881287,
-0.14430025219917297,
-0.5215948820114136,
-0.1469210684299469,
-0.32731813192367554,
0.0109212482348... |
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.
Fact: Plant reproduction depends on grains being planted.
Question: Plant reproduction depends on what happening?
Correct Answer: grains being planted.
grains being burned.
Fact: bacteria feed on dead organisms.
Question: what feed on dead organisms?
Correct Answer: bacteria.
fish.
Fact: Very young babies have the period of most rapid growth after birth.
Question: What have the period of most rapid growth after birth?
Correct Answer: very young babies.
| very old men.
| 0 | NIv2 | task042_qasc_incorrect_option_generation | fs_opt | [
0.7309586405754089,
0.9980918169021606,
-0.6322065591812134,
0.7200115323066711,
-0.5837832093238831,
-1.7445893287658691,
0.6197320222854614,
0.9792298674583435,
-0.7594665884971619,
0.17972731590270996,
-1.2243142127990723,
0.24848800897598267,
-0.866510272026062,
1.043748140335083,
0.... |
In this task, you are given an article. Your task is to summarize the article in a sentence.
Example Input: Hundreds of bones are laid out on the floor and Dr Hilary Ketchum, of the Oxford Museum of Natural History, has kindly offered to piece them all together.
It takes more than an hour to slot the makeshift skeleton of Eve the plesiosaur into place.
And you can clearly see the giant scale of the animal, with its large flippers and long neck.
Plesiosaurs ruled the oceans for more than a hundred million years before dying out at the same time as the dinosaurs.
Despite their dominance of the prehistoric oceans, there are still many unanswered questions about their biology, anatomy and evolution.
Plesiosaurs are really unusual animals, says Dr Ketchum, who looks after geological specimens at the museum.
"They're a type of reptile related to other reptiles like dinosaurs, crocodiles, ichthyosaurs and turtles for example, but actually we're not really sure where they fit in the grand scheme of things."
The animal was spotted by a group of amateur archaeologists from a shard of bone at a quarry.
"One day, one of the members found a little bone over there from the flipper just lying on the clay," explains Dr Ketchum, gesturing at the 165-million-year-old skeleton beside her on the floor.
"On further investigation, they found more and more bone and eventually they discovered the entire skeleton, which is very exciting.
"We think it's possibly a new species but even if it's not, it's very unusual. They're very rare fossils - plesiosaurs, especially nearly complete ones like this."
The fossil was discovered at the Must Farm quarry near Peterborough.
Mark Wildman and members of the Oxford Working Group - a team of amateur and professional archaeologists who search for fossils - nicknamed her Eve, as she was their first major find.
The true gender of the fossil is unclear, as the only confirmed female plesiosaur is a fossil found with a baby inside.
The quarry hit the headlines earlier this year, when a Bronze Age settlement was unearthed.
Eve was discovered in 2014 in a much older layer of the Earth - a swathe of rock from Jurassic times which was once beneath the ocean and is known for containing fossils of marine animals such as plesiosaurs and ichthyosaurs.
The Oxford Clay, as it is called, stretches across much of England, and is exposed in quarries around Oxford, Peterborough and Weymouth, where many of the fossil discoveries of Victorian times were made.
The fossil was donated by quarry owners Fonterra to the Oxford University Museum of Natural History, where staff have spent months cleaning and repairing it.
In a laboratory at the side of the museum, conservator Juliet Hay is delicately paring away mud from the reptile's skull with a scalpel.
The skull is still encased in clay that is being removed a flake at a time in order to preserve the delicate bones and teeth.
It is a painstaking task, requiring nerves of steel, but essential to get the skull of the specimen ready for further analysis.
A few weeks later, in the basement of the Life Sciences Building at Bristol University, I meet Dr Roger Benson, who is investigating the fossil.
As the skull goes round in the CT scanner, he tells me about the find.
"I think we're going to see some really beautiful bones," he says.
The skull has already been scanned once at the Royal Veterinary College in London to examine the positioning of the bones and teeth inside the block of clay.
This more powerful CT scanning machine at the University of Bristol could unlock the secrets of Eve the plesiosaur and determine whether she is a new species.
"It's really clear in these high-resolution scans that we've got lots of really well-preserved bones that are going to give us lots of information," says Dr Benson.
"From what we've seen already from the body, we know it has some features that are different to the other animals that we've seen before so it's very likely that this is an animal that is new to science."
He says further examination of the new details of the skull will help to confirm this.
It will also help Juliet Hay to extract the bones with more precision.
"This is a bit like doing a jigsaw puzzle when you do have the lid and its picture," he adds.
Follow Helen on Twitter.
Example Output: It's the biggest jigsaw puzzle you've ever seen but in this case, there are no instructions on the box.
Example Input: As a talented youngster it was 'should he play football, or cricket?'
He chose professional football, first on the books of Blackburn Rovers, then on loan at Rochdale, in Belgium with Cercle Bruges, and Northwich Victoria.
Then, when he gave up football to play first-class cricket, it was 'should he play for Warwickshire or his native Lancashire?'.
He chose the Bears.
Now, after eight increasingly successful years at Edgbaston, the last six of them as an automatic Bears first-team choice, the left-arm all-rounder could have another big decision to make. England or West Indies?
"I've been asked it a lot over the years," Barker told BBC Sport. "Would I play for England or the West Indies? But nothing has been approached to me about it."
At 29, it now looks increasingly clear that England are never going to consider him - despite a lot of plaudits on the back of an almost unrivalled haul of 257 wickets in 70 County Championship games since 2012.
But there is another option open to this Lancastrian son of a West Indian, whose godfather is the great Clive Lloyd.
Could he really play for the Windies?
"I'd be open to it obviously," said Barker. "But it would be a possible lifestyle change. I'd probably have to up and move. I couldn't just walk straight into the squad. You have to play so many games - and I'd have to perform in them too.
"I've no issue with not being selected by England. They might see me only as being a good county player and that's fine as I never even thought I'd do that in the first place.
"I'm proud to have achieved what I have. I don't want to look back thinking I could have done more. If I was to be given some sort of recognition internationally, it would have most likely happened by now. But. if that means I finish without ever playing at international level, I'd still be happy."
Keith Barker Sr played first-class cricket for his native British Guiana, in the early 1960s, sharing the same team as such West Indies greats Lloyd, Lance Gibbs, Basil Butcher, Clyde Walcott and Rohan Kanhai.
And, as a Lancastrian son of a West Indian, Keith Barker Jr he admits he was born to play cricket.
"I'm told I had a cricket bat in my hand before I could walk," said Manchester-born Barker, who grew up in Accrington, while his father was professional at various nearby Lancashire League clubs, including Great Harwood, Enfield and Rishton.
"I was always playing with my brothers," he recalls. "We used to play on the driveway when it was sunny, with a skateboard for stumps, leaned up against the garage door.
"I played my first Under-13s game at the age of six when one lad didn't turn up, I trialled with Lancashire Under-11s at eight and, at one point, we had all four of us brothers playing for Enfield, in different teams."
The Barker family's cricketing roots go back even further. Of his three brothers, Garfield, or Gary for short, was named after the great Garfield Sobers, while Andy, whose middle name is Lance, was named in honour of Warwickshire and West Indies spin legend Gibbs.
As for Barker himself, he was given the same middle name Hubert as one of his father's best friends, the great former Windies captain Lloyd who became his godfather.
Having played for Lancashire through the age groups, he had a trial for England Under-15s, when Paul Farbrace, now England assistant coach, was involved, playing alongside Worcestershire and England all-rounder Moeen Ali and his future Bears captain Varun Chopra.
"I played with Chops from the age of 11 to 15, when we both played for England Under-15s. In fact, there were a few times when my mum and dad couldn't make it and his mum and dad used to take me," he said.
"But I kind of fell out of love at 15 with cricket, as to how it was structured. I was opening the bowling and batting three but I was told I couldn't do that. Then when I did get an opportunity to prove myself I really messed up.
"I'd told the coach I wasn't happy so he let me bat at four. We were playing the Netherlands. I'd always been brought up by my dad that a bad ball's a bad ball whenever it comes. I got this big juicy full toss first ball. I was kind of feeling the pressure that I can't fail as I'd made such a fuss about playing, But I pulled out halfway through and ended up being caught and bowled.
"Next game I was back to batting nine and second change again."
Keith Barker's first big problem in life was that, apart from loving cricket, he was pretty good at football too.
This lifelong Manchester United fan has played cricket against Joe Hart, shared the same football pitch as Vincent Kompany and, on some cold mornings, he can still feel the damage a slightly mistimed Lee Cattermole challenge once did to his ankle in his early days at Blackburn.
In his Rochdale days he played against four future Premier League players - Kasper Schmeichel (then at Bury), Mike Williamson (then at Wycombe), Dave Edwards (Shrewsbury) and Jon Walters, who was in the same Chester team as a future Premier League manager, Roberto Martinez.
But, just like with his cricket, his football career also kicked off.
"I remember when I was five my brother grabbing my taking me into living room, moving the coffee table to one side and telling me he was going to teach me the 'step over'," he said.
"I started playing for Huncoat United at nine. I played left wing when I was growing up, a left wing who never tracked back," he grins. "But I was still scouted by Blackburn and I ended up signing a contract there."
Blackburn had two managers at the helm in his days at Ewood Park, first Graeme Souness, then Mark Hughes.
"He was a scary bloke Souness," he recalls. "I remember the odd fiery training session. He certainly didn't hold back in challenges.
"You didn't want to get on the wrong side of him. I never saw any player cross him."
But, while Barker still had a chance of making it under Souness, it was a different story when Hughes took over.
He explained: "Mark Hughes told me 'You're a decent player. But I'm always going to buy my strikers from abroad'."
It led to Barker joining Blackburn's feeder club Cercle Bruges for the 2005-06 season. "They only played 4-5-1, with one striker, which wasn't me. I'd been there two months when I had a chat with the manager," he added.
"He said 'I've got to be honest with you, I didn't want a striker'. I knew my time was up."
He ended up doing well at Rochdale until manager Steve Parkin got sacked, was on trial north of the border at Scottish minnows Gretna when they were on the up and turned down a three-year deal at Royal Antwerp, Manchester United's feeder club.
Five months with St Patrick's Athletic in Ireland were largely spent injured, followed by a summer trial at Bury, only for their manager Chris Casper to get sacked too, in January 2008, after which his final footballing stop was Northwich Victoria.
"I pretty much gave up on football. You have to hit the ground running when on trial or signing for a new club. My nephew had the same when he was over from Australia on trial at Oldham. He played a one-off trial and trained for a few days with the under-21s.
"He was told they'd be looking to sign him, only to then be told a week later that they'd managed to get the player on loan who they were after earlier in the season, so he wouldn't be needed. He's now back in Australia playing football."
When Barker signed his Blackburn deal, Lancashire also offered him a contract - three days too late.
"From 16 to 21, I didn't play much cricket at all. Apart from Lancs calling me out of the blue to come and play in a game against Sri Lanka A when I was 18, I played for Enfield about 10 or 12 times."
Then came a fateful day in late March 2008 - when his father died.
"I was 100% sure nothing would happen with cricket, so I was just looking for a job. But dad called (Lancashire Academy boss) John Stanworth to let him know I was coming back to cricket, just to do the right thing. It was the next afternoon my dad passed.
"I took 20 wickets in five games for Enfield, and was being watched Lancashire, then I got told (Warwickshire coach) Ashley Giles was looking for a left-armer and had spoken to David Lloyd, who I've known for a long time, as he's been involved with Accrington all his life. I'd played with his youngest lad Ben, and Graham, his eldest son, also played for Accrington when he finished with Lancashire.
"Keith Piper watched me and offered me a trial. I scored 118 and that's when Lancs took notice. An old family friend saw on Teletext a headline 'Ex-footballer scores a hundred' and questions started to be asked.
"John Stanworth took more interest in getting me to go up there and have a trial but I'd already been offered a contract by Warwickshire. And it was a two-year deal. Lancashire only offered a year. My mind was already made up and I felt a fresh start was a good thing."
Eight years on, lots of wickets and lots of new friends made, and with two years left on his contract, how long before Barker thinks about another fresh start?
BBC Coventry & Warwickshire's Clive Eakin
If Keith Barker never gets a full international call-up, as now seems likely, he would surely feature prominently on lists of the best cricketers not to have played for England.
It's his perceived lack of pace that has had successive selectors doubting his ability to step up to the elite level. That invites discussion as to whether England are too hung up on the importance of pace.
Barker, with his left-arm over, offers something different. And, once again, he's proven in 2016 that he can take wickets with impressive regularity. He passed 50 for the season in the Championship, as well as scoring over 500 runs.
It's no coincidence that the one bowler in the First Division to claim more victims has been his county colleague Jeetan Patel. Warwickshire make no secret of the way the New Zealand spinner exploits Barker's footmarks.
Warwickshire are keen to protect Barker from wear and tear by using him rarely in white-ball cricket. It's an understandable policy but the Bears would surely not have flopped so badly in Twenty20 if Barker had played more.
Example Output: Keith Barker is a sportsman well used to making big decisions in his life.
Example Input: Carolyn McCall told the BBC the drop had made fuel - which the firm pays for in US dollars - more expensive.
She added that the increased cost of travelling abroad is deterring some British holidaymakers.
Sterling has lost more than 10% of its value against the dollar since Brexit.
Ms McCall's comments came as Easyjet released its quarterly results, which warned that the company is earning less from each passenger.
Although passenger numbers have been rising - up to 20.2 million - extreme weather, air traffic control strikes and terrorist attacks have all contributed to the drop of almost 8% in "revenue per seat", a key measure watched closely by investors.
An "extraordinary number of external events" were to blame, Ms McCall said, "from Sharm el-Sheikh, Paris, Brussels and most recently, Nice and Turkey".
Easyjet's shares have dropped by more than 6% in London on the news.
But the chief executive argued that the drop in revenues was beneficial to customers.
"It is worth pointing out that although every airline is having a tough time, it is very good news for passengers," she told the BBC's Today programme.
"It actually means it's cheaper to fly and ticket prices are low".
The devaluation of the pound since the Brexit vote has also had an impact on "consumer confidence", or whether people feel compelled to book flights and holidays, she continued.
"If you are a passenger, you are reading every day in the papers that it is more expensive to spend money on holiday," Ms McCall said, although she added that demand would probably "normalise over next few months".
Ms McCall also confirmed that the airline would not be following rivals such as Wizz Air in scaling back from the UK market as a result of Brexit.
"We see opportunity," she said.
"We will continue to grow in the UK."
Easyjet has also confirmed that it is unlikely to move any staff out of its Luton headquarters, regardless of the result of Brexit negotiations.
While it would prefer that the UK government ensure airlines can continue to fly across Europe under existing pre-Brexit agreements, in the event that the firm has to obtain a new operating certificate from the EU, it will use existing staff in European countries to do so.
The certificate is of prime importance to Easyjet, as almost 50% of its passengers never touch down in the UK.
The airline is a major player in countries such as France, The Netherlands and Switzerland.
Example Output: | The boss of Easyjet says the airline has seen its costs increase by £40m ($53m; €48m) in just four weeks, as a result of the pound's drop in the wake of Britain's vote to leave the EU.
| 3 | NIv2 | task1290_xsum_summarization | fs_opt | [
0.4890764355659485,
0.053793683648109436,
-0.9115346074104309,
0.43435364961624146,
0.4374360144138336,
-0.282220721244812,
-0.007943494245409966,
0.6129601001739502,
0.00803439598530531,
0.4249279499053955,
0.2474564015865326,
0.43425410985946655,
-0.39988699555397034,
1.030396819114685,
... |
This is a paraphrasing task. In this task, you're given a sentence and your task is to generate another sentence which express same meaning as the input using different words.
Q: my world is called jessica-land , and everyone worships queen jessica because jessica is so beautiful .
A: in my world they all worship queen jessica , who is very beautiful .
****
Q: `` i wanted a painting commemorating my husband 's last thoughts .
A: `` you should have captured the last thoughts of my husband .
****
Q: the analysis provided clps under two macroeconomic scenarios , a baseline and an adverse one .
A: | the analysis provided estimates of credit losses on the basis of two macroeconomic scenarios , a baseline scenario and a negative scenario .
****
| 4 | NIv2 | task177_para-nmt_paraphrasing | fs_opt | [
-0.8041713833808899,
1.2053093910217285,
-0.6687254905700684,
-0.2108047604560852,
-0.21240831911563873,
-0.746195912361145,
-0.12030264735221863,
-0.11429183185100555,
-0.2520844340324402,
-0.2081678807735443,
0.18877199292182922,
-0.035862214863300323,
-0.03545180708169937,
0.36490249633... |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.
Example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.
Example solution: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.
Example explanation: The Galician sentence is correctly translated into Polish, because the meaning is preserved.
Problem: Era un xeito para que os pais viran onde estaban as escolas públicas axeitadas para os seus fillos.
| Solution: napisały program pomagający rodzicom w wyborze najlepszej szkoły dla dziecka. | 5 | NIv2 | task1244_ted_translation_gl_pl | fs_opt | [
-0.8658098578453064,
1.067250370979309,
-0.3404324948787689,
-0.5459632873535156,
-0.18940037488937378,
-0.6637377738952637,
1.2471438646316528,
0.11824223399162292,
-0.1675613820552826,
-0.17769217491149902,
-0.4449436664581299,
0.9822806119918823,
0.15327931940555573,
0.178714781999588,
... |
Teacher:In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.
Teacher: Now, understand the problem? Solve this instance: Travis Henderson (Harry Dean Stanton) is walking alone across a vast South Texas desert landscape. Looking for water, he enters a saloon and collapses. He is treated by a doctor (Bernhard Wicki), but does not speak or respond to questions. The doctor finds a phone number on Travis, calls the Los Angeles number, and reaches his brother, Walt Henderson (Dean Stockwell), who agrees to pick him up. When Walt arrives in Texas, he discovers that Travis is gone. When he finds him wandering alone, Walt tells his silent brother that he will take him back to Los Angeles. They stop at a motel, but Travis wanders off again. Walt finds him, and the two drive to a diner, where Walt begins to question the still silent Travis more forcefully about his disappearance. Walt and his wife, Anne (Aurore Clément), have not heard from Travis in four years. After Travis abandoned his son Hunter (Hunter Carson), Walt and Anne took care of him for four years. Travis is visibly moved by the mention of his son, and tears flow from his eyes.Travis finally breaks his silence when he is looking at a map and remarks "Paris," talking about how he'd like to go there, although Walt mistakenly thinks that he is talking about France, telling him that it is a little out of the way. When Travis refuses to fly, Walt rents a car, and the brothers begin a two-day road trip back to Los Angeles. The next day, as the two brothers continue their journey, Travis shows Walt a weathered photograph of a vacant lot. He explains that he purchased the property in Paris, Texas, a town he believes is the place where he was conceived, based on a story told by their mother.When they arrive in Los Angeles, Travis meets Anne and the son whom he abandoned four years earlier. Hunter is uncomfortable around this stranger who is his father. Walt shows some old home movies, hoping to evoke good memories and help break the ice between the father and son. The movies show Travis with his wife, Jane (Nastassja Kinski), and their young son, sharing a day at the beach.In the coming days, the relationship between Travis and his son slowly grows, and a bond of trust between the two starts to develop. Anne tells Travis that although she has not heard from Hunter's mother for a long time, she still deposits money into a bank account for her son on the same day each month. She reveals the name of the bank in Houston, where the deposits are made. Travis becomes determined to find his lost wife, and when he tells his son that he plans to travel to Houston to find his mother, the boy says he will accompany him.Travis and Hunter leave for Texas without telling Walt and Anne. During their journey, Travis and Hunter grow closer, with Hunter sharing things he learned in school, and Travis sharing his memories. When they arrive in Houston on the expected day of deposit, Hunter spots his mother leaving the bank. They follow her to a parking lot of a peep show club. Telling Hunter to wait in the car, Travis enters the club, containing rooms where customers sit behind one-way mirrors and tell the strippers what they want to see via telephone. The women cannot see the customers. Travis is shocked, but ends up in a room opposite Jane. After several minutes of awkward silence, Travis walks out, returns to the car, and drives to a bar, where he begins to drink.The next day, Travis drops Hunter off at the Méridien Hotel in downtown Houston, and heads back to the club. Travis enters a room with Jane on the other side of the one-way mirror. He picks up the phone, turns his chair away from her, and tells her a story of a man and a young girl who fell in love, married, and had a child, probably before they were ready. At first, Jane is confused by the story, but she soon realizes who is on the other side of the glass, and that the story is that of their relationship. Travis describes how the couple's love turned from being joyful to stifling, explains how the drunken man suffocated the young girl with his jealousy and control, and tells how he came to loathe himself and why he disappeared to a place "without language or streets" â never wanting to see anyone again.When Travis prepares to leave, Jane urges him to stay. She tells how hard it was to leave him, that for years she thought of him often. Travis finally faces the glass, turns a lamp on his face so Jane can see him, and tells her where she can find Hunter, asking her to go there and reunite with her son. Jane agrees and Travis leaves the room. Later that night, Jane enters the hotel room where Hunter is waiting, and they reunite at last. Travis watches from the parking lot and then leaves Houston behind him, driving alone., Question: How do the brothers travel after Travis refuses to fly?
Student: | Answer: Car | 6 | NIv2 | task194_duorc_answer_generation | zs_opt | [
0.7647206783294678,
0.13096851110458374,
-0.2769605219364166,
-0.04018412157893181,
0.38762879371643066,
-0.4110203981399536,
0.7813916206359863,
0.7337639331817627,
-0.14408883452415466,
0.20713141560554504,
-0.19772648811340332,
0.5463727116584778,
-0.39173322916030884,
0.486482024192810... |
Detailed Instructions: You are given a passage. You need to construct a question about the information present in the passage. Construct a question in such a way that (i) it is unambiguous, (ii) its answer is the whole paragraph. Avoid creating questions that can be answered correctly without actually understanding the paragraph.
Q: 1. To mix or bring together in combination, usually without loss of individual characteristics. \n2. To mix so that the components become united; merge
A: | what is the meaning of mingle? | 9 | NIv2 | task1594_yahoo_answers_topics_question_generation | zs_opt | [
0.5323435664176941,
1.4210870265960693,
0.10476288944482803,
0.054202474653720856,
-0.124289870262146,
-0.3728840947151184,
0.5786093473434448,
0.5815176963806152,
-0.6668809056282043,
0.43043193221092224,
-0.5823323130607605,
-0.49471738934516907,
-0.8306989669799805,
0.4096936583518982,
... |
Q: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
私は神からの思し召しだと言いました
A: | إشارة من الرب ، قالوا | 7 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
0.08789436519145966,
0.08350320160388947,
0.07115750014781952,
-0.7156438231468201,
-0.7148879766464233,
-0.3863397240638733,
0.7072238326072693,
-0.30087780952453613,
0.5085281133651733,
0.01197134517133236,
-0.2422873079776764,
-0.3293123245239258,
-0.47633984684944153,
0.540858745574951... |
Detailed Instructions: 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 Tail is the intention of the PersonX from the Head or not. The intention is the likely intent or desire of PersonX behind the execution of an event. For example, given the Head PersonX gives PersonY gifts, an intention might be that PersonX wanted to be thoughtful. 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 builds PersonY church<sep>Tail: to be helpful
A: | Yes | 9 | NIv2 | task1201_atomic_classification_xintent | zs_opt | [
0.4059649705886841,
0.6339129209518433,
0.3025335371494293,
-0.1224416047334671,
-0.6479179859161377,
-1.3800246715545654,
1.4335739612579346,
0.170420840382576,
-0.4229506850242615,
-0.3873516321182251,
-0.2940743863582611,
-0.3179374039173126,
-0.8706053495407104,
0.536392867565155,
0.... |
Given two noun phrases (arguments) and relationship between them, form a sentence that expresses theses arguments with the given relationship.
Q: Relationship: 'be body of', Argument/Subject 1: 'council', Argument/Subject 2: 'association'
A: | The NCJA 's core membership comprises high-level state executive branch officials who have been designated by their governors as their state 's representative to NCJA 's Advisory Council , the association 's governing body . | 4 | NIv2 | task677_ollie_sentence_answer_generation | zs_opt | [
0.12888562679290771,
1.1098010540008545,
0.3305891454219818,
-0.009377422742545605,
-0.457954466342926,
-1.472975254058838,
0.6322652101516724,
0.2792346477508545,
0.10803411900997162,
-0.4823067784309387,
0.23589806258678436,
-1.0896141529083252,
-0.6034290790557861,
0.4925388693809509,
... |
Detailed Instructions: 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.
Problem:Title: The family headed to the park. They had a new kite and it was a windy day! They got it up in the air and watched it soar. Choices: a. It had been a beautiful day for flying a kite! b. The tail fluttered in the wind. c. I was really quiet and pretended not to be home so he left.
Solution: | 5a, 4b | 8 | NIv2 | task222_rocstories_two_chioce_slotting_classification | zs_opt | [
-0.12550416588783264,
0.3584742844104767,
-0.36497312784194946,
-0.16906484961509705,
-0.12012532353401184,
-0.031881533563137054,
0.3916846513748169,
1.4804925918579102,
-0.7772181034088135,
0.3767884373664856,
-0.2739644944667816,
-0.355105996131897,
-0.32698044180870056,
-0.152927815914... |
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.
Let me give you an example: round_eq { sum { all_rows ; casinos } ; 217 }
The answer to this example can be: aggregation
Here is why: In this example sum returns the sum of the values in all of the casinos rows. Hence, aggregation is right category.
OK. solve this:
most_eq { all_rows ; tier ; tier ii }
Answer: | majority | 8 | NIv2 | task212_logic2text_classification | fs_opt | [
0.20803022384643555,
-0.28785625100135803,
-0.4118841290473938,
0.3305879533290863,
0.34982728958129883,
-0.48991432785987854,
0.7643831968307495,
0.7273269891738892,
0.308025598526001,
-0.03363146260380745,
-0.07871904969215393,
0.18912352621555328,
-0.0909663662314415,
0.4207877218723297... |
Given the task definition and input, reply with output. In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.
the european commission unveiled sweeping plans wednesday to diversify eu energy sources , slash carbon emissions by ## percent and enforce fuel competition .
| UNK eu unveils vast energy plan to protect supplies environment | 5 | NIv2 | task288_gigaword_summarization | zs_opt | [
-0.7718330025672913,
0.8982288837432861,
0.25900688767433167,
-0.3037749230861664,
-0.4293828010559082,
-0.8622392416000366,
0.047644298523664474,
0.32289043068885803,
0.10769106447696686,
0.35487425327301025,
-0.23437467217445374,
0.3490446209907532,
0.21089911460876465,
-0.25133028626441... |
In this task, you need to reverse the order of words in the given sentence.
Example input: Sentence: luggage surrounds a vehicle in an underground parking area
Example output: area parking underground an in vehicle a surrounds luggage
Example explanation: This is a correct answer, as it correctly reverses the order of the words.
Q: Sentence: a couple of guys standing next to each other holding tennis racquet
A: | racquet tennis holding other each to next standing guys of couple a | 3 | NIv2 | task376_reverse_order_of_words | fs_opt | [
-0.17448069155216217,
0.6454023122787476,
-0.27452367544174194,
-0.10804431885480881,
-0.16854070127010345,
-0.24802708625793457,
0.3049788475036621,
0.2874871790409088,
0.9546712636947632,
-0.3911958932876587,
-0.9725984334945679,
0.20251314342021942,
-0.05673982575535774,
-0.406284868717... |
Given a premise, an initial context, an original ending, and a new ending, the task is to generate the counterfactual context that is aligned with the new ending. Each instance consists of a five-sentence story. The premise is the first sentence of a story, and the second sentence, which is the initial context, provides more information about the story's context. The original ending is the last three sentences of the story. Also, you are given a new ending that can provide the new story with the same premise. You should write a counterfactual context to explain the small differences between the original and new endings. More specifically, a story context contains the general plot of the story. And a counterfactual context is a slight modification to the initial context. To sum up, you should write the second sentence of a story based on the premise(first sentence) and the new ending(last three sentences) of the story.
Q: Premise: John was in a bad neighborhood when he found a sick dog.
Initial Context: He tried to comfort the dog, but the dog did not trust him.
Original Ending: Despite this, he took the dog home. John fed the dog, walked the dog, and loved the dog. After a few days, the dog began to trust John.
New ending: Despite this, the dog followed him home. John fed the dog, walked the dog, and loved the dog. After a few days, the dog began to love John too.
A: | He tried to ditch the dog. | 4 | NIv2 | task270_csrg_counterfactual_context_generation | zs_opt | [
0.5579763650894165,
0.18544135987758636,
0.25285470485687256,
0.42904794216156006,
0.18315547704696655,
-0.9044444561004639,
-0.3001291751861572,
1.2499501705169678,
-0.14292575418949127,
-0.43655240535736084,
-0.6716864109039307,
-0.035161808133125305,
-0.46218645572662354,
0.134515538811... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a context paragraph of the tweet and question. Your task is to generate right answer of given question based on given context tweet paragraph.
Context: Unfortunately for you @FLOTUS and @POTUS I wasn't alone when you sent me that video 😉 - H. Kensington Palace (@KensingtonRoyal) April 29, 2016 Question: who did kensington palace tag in the tweet?
Output: | flotus and potus | 1 | NIv2 | task239_tweetqa_answer_generation | zs_opt | [
-1.0938501358032227,
1.0375697612762451,
-0.03887674957513809,
0.49175915122032166,
-0.27960360050201416,
-1.177919864654541,
-0.16551534831523895,
0.2448890507221222,
-0.21563392877578735,
-0.3725356459617615,
0.4531319737434387,
0.07367509603500366,
0.5029039978981018,
0.3503786027431488... |
The task is to generate text based of an event. For the given event, there will be a person who does the action in the event (usually PersonX). Your task is to write that persons emotional reaction to the event, i.e. how that person feels after doing the action.
Input: Consider Input: PersonX suits PersonY's needs
Output: dependable
Input: Consider Input: PersonX is three years old
Output: happy about his age
Input: Consider Input: PersonX feels a bit better
| Output: bit better
| 2 | NIv2 | task1595_event2mind_text_generation_1 | fs_opt | [
-0.15499064326286316,
0.9899247288703918,
-0.053504034876823425,
-0.7066376209259033,
-0.35015052556991577,
-0.4828914999961853,
0.9708301424980164,
0.7534182667732239,
0.34152621030807495,
-0.5170373916625977,
-0.13106432557106018,
0.37854352593421936,
-0.8327434062957764,
0.1075375899672... |
Given a sentence in German, generate a new German 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.
Ex Input:
Wenn Sie eine körperliche Untersuchung haben wollen, dann sollten Sie einen Arzt leiten.
Ex Output:
Wenn Sie sich um eine körperliche Prüfung dann sollten Sie ein Interview zu gewähren.
Ex Input:
Die Menschen brauchen Wasser, um zu halten.
Ex Output:
Die Menschen brauchen Wasser, um sie zu versorgen.
Ex Input:
Der Effekt der Berechnung eine Wiederholung von Zahlen addiert Daten.
Ex Output:
| Der Effekt des Hinzufügens einer Spalte von Zahlen ist das Hinzufügen von Sachen.
| 1 | NIv2 | task416_mickey_de_sentence_perturbation_generation | fs_opt | [
-0.41939181089401245,
0.16588889062404633,
-0.15795694291591644,
-0.45924633741378784,
0.05393878370523453,
-0.20550252497196198,
0.658414363861084,
0.3838217854499817,
0.387328177690506,
0.2635830044746399,
-0.6577374935150146,
-0.011381205171346664,
-0.6534810066223145,
0.031425073742866... |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
Q: میفهمید که کالسکه فقط و فقط برای خود اوست، .
A: She felt that the carriage was for herself, and herself alone:
****
Q: شما رفتاری با من کردهاید که هر مردی که از زنی زاده شده باشد در انجام آن نسبت به بدترین دشمنان خود نیز مردد میماند.
A: ;you have done a thing to me that a man who was born of a woman should hesitate to do to his worst enemy.
****
Q: خوب این یکی از آن سلیقههای اشرافی ماماست و کاملا هم درسته، زیرا یک خانم واقعی را همیشه باید از کفشهای تمیز، دستکش و دستمالش شناخت.
A: | It is one of her aristocratic tastes, and quite proper, for a real lady is always known by neat boots, gloves, and handkerchief,'
****
| 4 | NIv2 | task660_mizan_fa_en_translation | fs_opt | [
-0.14112703502178192,
0.7785604000091553,
-0.525670051574707,
0.07942578941583633,
-0.3114284873008728,
-0.2941913604736328,
0.5800003409385681,
0.6632715463638306,
0.7115761637687683,
0.2794947624206543,
-0.7843843698501587,
0.9340789914131165,
-0.4025634825229645,
0.36351263523101807,
... |
Given the task definition, example input & output, solve the new input case.
A text is given in Gujarati. Translate it from the Gujarati language to the Panjabi language. The translation must not omit or add information to the original sentence.
Example: ਆਮਦਨ ਟੈਕਸ ਐਕਟ ਦੀ ਧਾਰਾ 50ਸੀਏ ਅਤੇ 56 ਦੇ ਦੁਰਵਿਵਹਾਰ ਵਿਰੋਧੀ ਪ੍ਰਾਵਧਾਨਾਂ ਤੋਂ ਉਚਿਤ ਸ਼੍ਰੇਣੀਆਂ ਦੇ ਵਿਅਕਤੀਆਂ ਨੂੰ ਛੋਟ।
Output: આવકવેરા અધિનિયમના વિભાગ 50 સીએએસ અને 56 ની યોગ્ય કેટેગરીઝની યોગ્ય કેટેગરીઝની મુક્તિ.
Correct translation for given sentence. Input sentence means 'Exemption of the appropriate categories of reasonable categories of section 50 CAs and 56 of the income tax act.' which is the same as the output sentence.
New input case for you: ਮੇਘਾਲਿਆ, ਤ੍ਰਿਪੁਰਾ ਅਤੇ ਮਿਜ਼ੋਰਮ ਪਹਿਲੀ ਵਾਰ ਭਾਰਤ ਦੇ ਰੇਲ ਨਕਸ਼ੇ ‘ਤੇ ਆਏ ਹਨ।
Output: | મેઘાલય, ત્રિપૂરા અને મિઝોરમ સૌ પ્રથમ વખત ભારતના રેલવે મેપ હેઠળ મૂકાયું છે. | 1 | NIv2 | task1044_pib_translation_punjabi_gujarati | fs_opt | [
0.11987193673849106,
0.4439406991004944,
0.29162657260894775,
0.1903310865163803,
0.6482912302017212,
-0.557975172996521,
0.21305549144744873,
0.6128523349761963,
0.027112536132335663,
0.38366854190826416,
-0.3266746997833252,
-0.9265725612640381,
-0.34787625074386597,
-0.21531584858894348... |
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.
Q: Lucas entered the living_room. Liam entered the living_room. The grapefruit is in the red_suitcase. Lucas moved the grapefruit to the green_treasure_chest. Jacob entered the dining_room. Liam entered the dining_room. The carrot is in the green_drawer. Jacob moved the carrot to the blue_cupboard. Liam is in the dining_room. William entered the dining_room. The carrot is in the blue_cupboard. Liam moved the carrot to the green_drawer. Liam entered the living_room. Jacob entered the living_room. The turnip is in the green_treasure_chest. Liam moved the turnip to the red_suitcase. Where will Jacob look for the turnip?
A: | red_suitcase | 4 | NIv2 | task153_tomqa_find_location_hard_clean | zs_opt | [
-1.1078400611877441,
-0.2514961361885071,
-0.0832023024559021,
-0.536461353302002,
-0.5335107445716858,
-0.3606693744659424,
0.23252132534980774,
0.2966516613960266,
-0.6776115298271179,
-0.32507389783859253,
0.48405396938323975,
0.20652492344379425,
-0.4620250463485718,
0.4676253795623779... |
In this task, you need to answer 'Yes' if the given word is the longest word (in terms of number of letters) in the given sentence, else answer 'No'. Note that there could be multiple longest words in a sentence as they can have the same length that is the largest across all words in that sentence.
Ex Input:
Sentence: 'the blinds are shut in the window next to the tv'. Is 'to' the longest word in the sentence?
Ex Output:
No
Ex Input:
Sentence: 'a big rusty pole with some assorted signs on it'. Is 'it' the longest word in the sentence?
Ex Output:
No
Ex Input:
Sentence: 'a brief case sits on top of a bed'. Is 'brief' the longest word in the sentence?
Ex Output:
| Yes
| 1 | NIv2 | task114_is_the_given_word_longest | fs_opt | [
-0.6110287308692932,
0.7280811071395874,
-0.04401267319917679,
0.2123059332370758,
-0.029073812067508698,
-0.4615951180458069,
0.31468600034713745,
0.4990628957748413,
0.1646725833415985,
-0.3352122902870178,
-0.5944347381591797,
0.39820241928100586,
-0.09015592932701111,
0.070125214755535... |
You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.
Example: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.
Example solution: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.
Example explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.
Problem: El punto negro es la media de toda la actividad cerebral en paralelo, en tiempo real.
| Solution: نقطه سیاه نمایانگر میانگین فعالیت های مغزی در تعامل با یکدیگر است. | 5 | NIv2 | task1103_ted_translation_es_fa | fs_opt | [
0.028555305674672127,
0.15125694870948792,
-0.483537495136261,
-0.3215314745903015,
-0.25195178389549255,
0.06663230061531067,
0.5442920923233032,
0.8129414319992065,
-0.12933167815208435,
-0.424433171749115,
-0.797935426235199,
0.326943039894104,
-0.39282089471817017,
0.010674260556697845... |
In this task you will be given a list of numbers. You should remove any number that is not an integer (whole number). If every number is not an whole number then an empty list ("[]") should be returned. Otherwise, answer with the list of whole numbers separated by comma inside brackets.
[Q]: [-49, -16.175, 60, 5.932, -81, -22]
[A]: [-49, 60, -81, -22]
[Q]: [-88, 65, -7]
[A]: [-88, 65, -7]
[Q]: [7.704, 3.961, 29.882, -27.954, -40.529, 1.762, -69.525, 20, 25, 30.048]
[A]: | [20, 25]
| 5 | NIv2 | task367_synthetic_remove_floats | fs_opt | [
-0.17638972401618958,
0.6197583675384521,
-0.24204601347446442,
-0.7057274580001831,
-0.17472076416015625,
-0.33033064007759094,
1.2084928750991821,
0.39220985770225525,
0.010058111511170864,
-0.12475897371768951,
-0.3546326160430908,
0.5445438623428345,
-0.5583186745643616,
-0.15752246975... |
Q: In this task, you're given a pair of sentences, sentence 1 and sentence 2. Your job is to determine if the two sentences clearly agree/disagree with each other, or if this can't be determined. Indicate your answer as yes or no respectively.
Sentence 1: The self-help center will be the only one of its kind in the county. Sentence 2: It will be one of many centers in the county.
A: | yes | 7 | NIv2 | task199_mnli_classification | zs_opt | [
-0.45980048179626465,
0.752752423286438,
0.7137080430984497,
-0.30188649892807007,
0.19821298122406006,
-1.1565786600112915,
0.14425303041934967,
1.189315915107727,
0.4529813826084137,
0.06275597959756851,
0.023119106888771057,
-0.7757936716079712,
-0.6706457734107971,
0.022203639149665833... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Input: Consider Input: E de cada vez que faço Arte Pública, quero uma coisa que seja realmente relevante para o lugar onde está instalada.
Output: Zawsze kiedy tworzę sztukę publiczną chcę pokazać coś naprawdę istotnego dla miejsca w którym będzie zainstalowane.
Input: Consider Input: A segurança real da nossa nação é preparar a próxima geração para que possam ocupar o nosso lugar e serem os líderes do mundo relativamente ao pensamento e à tecnologia e à democracia e tudo aquilo de que gostamos.
Output: Prawdziwe bezpieczeństwo naszego narodu to przygotowanie tej nowej generacji tak, aby mogła zająć nasze miejsca i być liderami świata. Jeśli chodzi o myślenie, technologie, demokrację i wszystkie rzeczy, na których nam zależy.
Input: Consider Input: Encontramo-nos num mundo que é de uma complexidade monumental e temos estado a usar algoritmos para o filtrar e assim podermos navegar através dele.
| Output: Żyjemy w niesamowicie złożonym świecie, Żyjemy w niesamowicie złożonym świecie, Wykorzystujemy algorytmy, aby go trochę przefiltrować, by móc się po nim poruszać.
| 2 | NIv2 | task1281_ted_translation_pt_pl | fs_opt | [
-0.230549618601799,
0.9987108707427979,
-0.029643505811691284,
-0.05353996157646179,
-0.4021676480770111,
-0.22404618561267853,
0.5050324201583862,
-0.287283718585968,
0.461417019367218,
-0.03953055292367935,
-0.40801388025283813,
0.5036543607711792,
-0.1875395029783249,
-0.452282190322876... |
In this task, you need to remove all words of a given length in the sentence. The number of letters in a word determine its length, for example, the length of the word "apple" is 5.
Sentence: 'a large tree next to a bench on a field'. Remove all words of length '2' in the given sentence. | a large tree next a bench a field | 0 | NIv2 | task377_remove_words_of_given_length | zs_opt | [
-0.2188192903995514,
0.46948981285095215,
-0.4338909983634949,
-0.998507559299469,
-0.35004642605781555,
-0.8236610889434814,
0.3157912790775299,
0.5609170794487,
0.12415064871311188,
-0.4809924066066742,
-1.2187905311584473,
-0.493817538022995,
-0.779627799987793,
-0.1206902265548706,
0... |
Part 1. Definition
In this task, we ask you to write an implausible answer to a question that involves “event duration", based on a given sentence. Here, event duration is defined as the understanding of how long events typically last. For example, “brushing teeth”, usually takes a few minutes. Even though there exist multiple wrong answers, we only need a single wrong answer. Please try to keep your "answer" as simple as possible. Concise and simple "answer" is preferred over those complex and verbose ones.
Part 2. Example
Sentence: Jack played basketball after school, after which he was very tired.
Question: How long did Jack play basketball?
Answer: 22 hours.
Explanation: Typically we play basketball for a couple of hours. So any answer beyond that range is unlikely.
Part 3. Exercise
Sentence: Ana studied very hard to be the best she could be at spelling.
Question: How long did Ana study everyday, so that she could be the best at spelling?
Answer: | 10 months. | 7 | NIv2 | task005_mctaco_wrong_answer_generation_event_duration | fs_opt | [
0.39484336972236633,
0.5659655928611755,
-0.1336022913455963,
-0.47083184123039246,
-0.6980029344558716,
-0.08552399277687073,
0.8586952090263367,
0.3125346302986145,
-0.13530729711055756,
-0.3518514037132263,
-0.22904132306575775,
0.5534548759460449,
-0.6586880683898926,
-0.14584998786449... |
Detailed Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Problem:Passage: Prosecutors try to convince the judge or jury to convict a suspect. They often feel horrible if they have helped to convict the wrong person of a crime.
Solution: | Anti-stereotype | 8 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
-0.20638540387153625,
0.5880247354507446,
-0.0970291942358017,
-0.04843294620513916,
-0.22460775077342987,
0.1497611403465271,
0.47418785095214844,
0.9410271048545837,
0.3804934024810791,
-0.25663256645202637,
-0.718140721321106,
-0.01482266467064619,
-0.6756855845451355,
0.129632025957107... |
Given an abstract of a paper, generate a title for this paper such that conveys the key focus of the paper.
One example is below.
Q: Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation-trained ambulance technicians (EMT-Ds) will refibrillate before hospital arrival. The authors analyzed 271 cases of ventricular fibrillation managed by EMT-Ds working without paramedic back-up. Of 111 patients initially converted to organized rhythms, 19 (17%) refibrillated, 11 (58%) of whom were reconverted to perfusing rhythms, including nine of 11 (82%) who had spontaneous pulses prior to refibrillation. Among patients initially converted to organized rhythms, hospital admission rates were lower for patients who refibrillated than for patients who did not(53% versus 76%, P = NS), although discharge rates were virtually identical (37% and 35%, respectively). Scene-to-hospital transport times were not predictively associated with either the frequency of refibrillation or patient outcome. Defibrillation-trained EMTs can effectively manage refibrillation with additional shocks and are not at a significant disadvantage when paramedic back-up is not available.
A: Refibrillation managed by EMT-Ds
Rationale: The abstract is about refibrillation and it is also mentioned in the abstract that it is managed by EMT-Ds. So it is an apt title.
Q: Abstract: Coronary angioplasty was performed in 53 patients in whom unstable angina had reoccurred after 48 hr and within 30 days after sustained myocardial infarction. Single-vessel disease was present in 64% of the patients and multivessel disease in 36%. The preceding myocardial infarction had been small to moderate in size in the majority of the patients. The left ventricular ejection fraction was more than 50% in 80% of the patients. Forty-five patients were refractory to pharmacologic treatment; eight were initially stabilized but once again became symptomatic with light exertion. Angioplasty was performed in 35 patients 2 to 14 days and in 18 patients 15 to 30 days after infarction (average 12 +/- 7 days after infarction). The initial success rate was 89% (47/53). The success rate of the patients treated at 2 to 14 days was lower (29/35, 83%) than that of patients treated at 14 to 30 days (18/18, 100%) but did not reach statistical significance (p less than .06). There were no deaths related to the procedure. In four of the six failures, emergency bypass surgery was performed and two patients sustained a myocardial infarction. Furthermore, a myocardial infarction complicated the angioplasty procedure in two other patients; thus the overall procedure-related myocardial infarction rate was 8% (4/53). At 6 months follow-up 26% (14/53) of all the patients who underwent angioplasty had recurrence of angina, which was successfully treated with repeat angioplasty, bypass surgery, or medical therapy. There were no late deaths. Late myocardial infarction occurred in two patients. Thus the total myocardial infarction rate after angioplasty at 6 months was 11% (6/53 patients).(ABSTRACT TRUNCATED AT 250 WORDS)
A: | Coronary angioplasty for early postinfarction unstable angina. | 9 | NIv2 | task619_ohsumed_abstract_title_generation | fs_opt | [
0.6123030781745911,
0.1978633552789688,
-0.2914363443851471,
-0.15951448678970337,
0.550227701663971,
-0.20751234889030457,
0.7569704651832581,
0.6186814308166504,
0.13604074716567993,
0.6111197471618652,
-0.3768531382083893,
0.2975347936153412,
-0.11038181930780411,
0.598685622215271,
-... |
Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
我々が築いた国家権威は砂の城であり人々は自然にあるべきか教化 （ 文明化 ） されるべきかをテーマとしていますヘレン・ミレン演じるプロスペラが最後に語る言葉です人々は自然の下大きな嵐の中文明を築き上げますが雲に覆われた塔や豪華な宮殿はやがて朽ち果てて何も残りません
| To był zamek z piasku, temat "" natura kontra kultura "", budowa cywilizacji. Prospera Helen Mirren mówi na końcu: budujemy je, lecz pod wpływem natury, pod naporem burzy, te wieże wśród chmur, te wspaniałe pałace znikną i nie zostawią po sobie śladu. | 5 | NIv2 | task1097_ted_translation_ja_pl | zs_opt | [
0.6478213667869568,
1.391305685043335,
-0.016534237191081047,
-1.1661581993103027,
-0.3157326579093933,
-0.3084861934185028,
-0.11259967088699341,
-0.2749529778957367,
-0.6255459189414978,
-0.6348484754562378,
-0.5605360269546509,
0.5902652740478516,
-0.5796427726745605,
-0.514776229858398... |
Teacher:In this task, you are given a sentence in Persian, and your task is to translate it into English.
Teacher: Now, understand the problem? Solve this instance: برون ، سريع برو .
Student: | drive , fast . | 6 | NIv2 | task659_tep_fa_en_translation | zs_opt | [
-0.3473355770111084,
1.0058457851409912,
0.03629915788769722,
-0.8086493015289307,
-0.3331686556339264,
0.1327562779188156,
0.2996102273464203,
0.6080707907676697,
0.9301667809486389,
-0.4327661991119385,
-0.4190811216831207,
0.38003814220428467,
-0.34950652718544006,
-0.1897859275341034,
... |
Given the task definition and input, reply with output. In this task, you are given a text of many news articles seperated by special token "|||||". Your task is to summarize them.
Johnny Lewis DEEP Scientology Ties
EXCLUSIVE
-- the "Sons of Anarchy" star who murdered his landlady, dismembered her cat and then fell to his death in what appears to be a drug-fueled rage -- had deep ties to Scientology and its drug abuse program ... TMZ has learned.We've learned Johnny's father, Michael Lewis, has reached one of the highest levels in the Church of Scientology. In fact, in the 80s Michael co-wrote a movie with L. Ron Hubbard about L.Ron's "discovery" of Dianetics.Johnny was also active in the Church, especially the drug abuse program -- Narconon. In 2004, Johnny is seen (above) speaking at a substance abuse prevention event in the O.C. on behalf of Narconon. The reason Johnny spoke was because he was in a new show, "Quintuplets," and Scientology posted on its website that Johnny's mother used the principles of Narconon to keep him off drugs, and it worked.Ironically, it didn't work because -- as we reported -- Johnny was in rehab this year (not Narconon) and eyewitnesses say he was clearly on drugs at the time of the murder.Interestingly ... after we contacted Scientology about this story, they removed the photo of Johnny from all of their websites as well as the story about his appearance at the O.C. drug abuse event.A Scientology source tells TMZ ... Lewis was not active in the Church for several years. ||||| Johnny Lewis, shown last year, spent two seasons playing Kip “Half Sack” Epps on the popular “Sons of Anarchy” motorcycle-gang drama. He fell to his death Wednesday after fatally bludgeoning his 81-year-old landlady to death, police said. (Carlo Allegri, Asoociated Press / )
On paper, Johnny Lewis' acting career was looking up.
The 28-year-old actor had spent two seasons playing Kip "Half Sack" Epps on the popular "Sons of Anarchy" motorcycle-gang drama and was steadily landing movie roles.
But behind the scenes, Lewis was unraveling.
He was arrested three times this year, drowning in drugs and mental health issues, according to court records and those who knew him. The problems culminated Wednesday in a bizarre altercation in Los Feliz, where police say the actor fatally bludgeoned his 81-year-old landlady and attacked a painter and a neighbor before falling to his death.
Los Angeles police detectives are still trying to piece together what happened at the sprawling hillside home of 81-year-old Catherine Davis. Neighbors described Davis as a kind-hearted friend who rented out parts of her two-story home to actors and others in Hollywood. Davis advertised her home as the "Writer's Villa," "set up for creative people. It is located in the Los Feliz Hills, in the same range of foothills as the famous Hollywood sign."
Lewis had rented a room once before from Davis, though officials are not sure how long he had lived there. What is clear is that Lewis' latest arrival came after several arrests and jail stints.
Lewis had been released from Los Angeles County jail five days prior to the slaying, following a series of criminal cases that dated back to January. Sources familiar with the cases said there were multiple attempts by family and authorities to help Lewis with drug abuse and mental illness.
A probation report tied to one of his cases spoke of Lewis' struggles. "There are significant issues which should be addressed," the report states. "Obviously, defendant's behavior is out of control and needs counseling afforded by a professional."
The first arrest came Jan. 3, when Lewis broke into a Northridge town home and beat two men with an empty Perrier bottle. Lewis had once lived at the same complex.
One of the victims, who asked not to be identified, said he found Lewis in an upstairs room that morning. Lewis, who was wearing only pajama bottoms, told one of the men that he'd seen an intruder and was checking to see if everything was OK.
When the man and his brother-in-law tried to get Lewis to leave, he attacked, biting them and beating their heads with the bottle, court records show.
"My brother-in-law hit him in the head many times," the man told The Times. "He didn't even blink."
Lewis was arrested and later released on bail. He was again taken into custody Feb. 10, accused of punching a man in the face at a Santa Monica yogurt shop.
The third arrest would come eight days later, when he tried to break into a Santa Monica home, a crime that was thwarted after a woman saw him and began screaming.
Lewis was released on bail in March but failed to appear in court and was arrested on a bench warrant later that month. He was in custody until May 23, when Judge Mark E. Windham ordered that Lewis spend 30 days in an outpatient program for mental health issues and substance abuse.
He went to Ridgeview Ranch in Altadena, where he completed a month of treatment.
By Aug. 17, judges had ruled in both the assault and burglary cases that Lewis had fulfilled his sentences and he was put on probation. What happened next is not entirely clear, but Lewis eventually found himself back in county jail. He was released Sept. 21 for reasons that are also not clear.
Five days later he was at the Spanish-style home in Los Feliz, where he rented a room from Davis.
The owner of the home next to Davis' said Lewis approached him Wednesday morning and introduced himself as "John," a new neighbor. Lewis left but returned about 15 minutes later and hopped a front-yard fence and began attacking a painter working at the neighbor's home.
The neighbor said his wife ran to help and started screaming for help. The neighbor joined the fray, but he said Lewis was not phased by the blows he took. It was like "hitting him with a fly swatter," added the neighbor, who asked to remain anonymous because he was concerned about his safety. ||||| Johnny Lewis Drugs Triggered Psychotic Break
EXCLUSIVE
was a good guy whose life changed forever earlier this year -- after a very bad experience with drugs ... sources close to Lewis' family tell TMZ.We're told the "Sons of Anarchy" star was "mentally healthy" -- until an episode early this year, when he dabbled with an undisclosed drug. Our sources say the incident triggered a "psychotic break" and he never recovered from it.Family sources tell us ... after the episode Johnny changed dramatically -- he became mentally unstable and began to "self-medicate" to deal with the problem.The family says doctors told them Johnny's condition was classified as "co-occurring disorders." Translation -- by abusing drugs to treat the mental condition, Johnny was simultaneously troubled on 2 fronts.As for the nature of the mental disorder -- family sources say they were never able to get Johnny stable enough to get a clear diagnosis.As for the landlady's murder -- they do not believe it was triggered by a drug-fueled rage. We're told doctors had given Johnny medicine to stabilize his condition and when he was taking it he seemed fine, but when he got out of jail 6 days before the murder, they believe he stopped taking his meds and became extremely unstable and violent. ||||| For Katy Perry, the late Johnny Lewis was "The One That Got Away."
A source close to the singer, 27, tells Us Weekly that Perry is "devastated" after learning on Thursday about the death of the Sons of Anarchy actor, whom she dated from 2005-2006.
Even back then, the insider reveals, Perry could tell Lewis was headed down a troubled path.
PHOTOS: Stars we've lost
"She had to separate from him . . . to get ahead and focus on her career," the source explains. "He was in trouble then and she couldn't help him. A lot of her songs were partially inspired by him. I know 'The One That Got Away' and 'Circle the Drain' are partly about him, as well as Travis [McCoy of Gym Class Heroes]. But she was young and it was a time in her life she cherishes." (Perry became a worldwide pop star in 2008 with her smash, "I Kissed a Girl," and married Russell Brand in 2010. They finalized their divorce earlier this year.)
Adds the source, "They had good times. It's really sad. She could never help him and couldn't [let herself] go in that direction."
PHOTOS: Shocking celebrity deaths
On Wednesday, the body of 28-year-old Lewis was discovered in a driveway after the troubled actor fell or jumped from a rooftop following a fight with his landlady, Catherine Davis. (Authorities believe Lewis may have beaten Davis, 81, to death.)
Sons of Anarchy creator Kurt Sutter took to his WhoSay page Thursday afternoon to admit that he wasn't surprised at all to learn of Lewis' violent, untimely passing.
"It was a tragic end for an extremely talented guy, who unfortunately had lost his way," Sutter wrote. "I wish I could say that I was shocked by the events last night, but I was not." ||||| , 81, had no reason to think her tenant, Sons Of Anarchy actor, would harm her, her close friend has said.
The 28-year-old actor — and ex of pop superstar Katy Perry — had shared the elderly woman’s Los Feliz, Calif. home before and had not been a problem, her co-worker and friend Maryann Kuk told Celebuzz.
Davis was found dead on Wednesday morning, after Lewis allegedly beat her, and her cat, to death before allegedly attacking two more people and jumping or falling to his own death.
Despite the horrific nature of the Davis’ death, Kuk said the elderly woman had not expressed any fears about her tenant.
Kuk was adamant that Lewis had not been causing Davis — whom friends called Cathy — any trouble prior to his alleged rampage.
“Not at all, He had stayed at the house before,” Kuk told Celebuzz exclusively. “I’m sure the police have a better idea [why he did this].”
Lewis had been arrested three times this year — twice for violent assaults. Yet the 81-year-old lived peacefully alongside him in her own home in the multimillion dollar neighborhood overlooking the Hollywood sign.
“She lived there as her home, and she made it home for many other people.”
For 35 years, Davis had been renting out homes — including her own — through her Housing Solutions business to give people a good start in Hollywood.
“This is devastating for all of us,” Kuk said the day after her beloved friend was killed, allegedly at Lewis’ hands. “She was the most gorgeous, beautiful and kind person I ever met, and she was a joy to work with and to know. To know her was to love her.”
Despite her age, Davis was effervescent and vibrant, her co-worker said. “She was young at heart,” Kuk said..” On her 80th birthday party, it was quite something. A lot of people who had come through [the homes] came.”
Davis leaves behind a daughter, her daughter’s long-term partner, their child and a sister, Kuk said. |||||
| Details of Johnny Lewis' troubled life are pouring out after the former Sons of Anarchy actor was found dead after allegedly killing his landlord Wednesday: The 28-year-old had been arrested at least three times this year, the Los Angeles Times reports: once for breaking into a home and beating two men inside, once for punching a man in a yogurt shop, and once for attempting to break in to another home. Family and friends had repeatedly tried to help the actor—who was still landing movie roles—with his substance abuse and mental issues. A probation report called his recent behavior "out of control." E! reports that an attorney who represented Lewis said it was clear he suffered from delusions. It seems Lewis' mental troubles began earlier this year, when he had a bad experience with an undisclosed drug that caused him to have a "psychotic break," sources tell TMZ. He had never been the same since, but was stabilized on medication. The sources believe he stopped taking the medication when he was released from his latest jail stint, days before his death, causing him to become dangerously unstable. Lewis was, at least at one point, very active in Scientology and its drug abuse program, Narconon, TMZ reports. Adding to Lewis' recent troubles: He had a daughter, and was upset over a custody battle, E! reports. But, until the morning of her death, Lewis had never given his landlady any reason to fear him, a friend of hers tells Celebuzz. Many of the songs of Katy Perry, who dated Lewis in 2006, were inspired by Lewis, a source tells Us. Perry "had to separate from him" because she knew "he was in trouble then and she couldn't help him." She's said to be "devastated" by his death. | 5 | NIv2 | task1291_multi_news_summarization | zs_opt | [
0.24543912708759308,
0.591074526309967,
-0.4232412576675415,
0.13690783083438873,
0.36660897731781006,
-0.6760618686676025,
-0.09172458201646805,
1.0564539432525635,
-0.045985106378793716,
0.17440545558929443,
0.17492450773715973,
0.7154373526573181,
-0.7796647548675537,
0.0966902077198028... |
Q: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.
Il secondo problema di questi meccanismi è che puoi sempre trovare il modo di disattivarli.
A: | O outro problema cos mecanismos de compromiso é que sempre podes escapar deles. | 7 | NIv2 | task1252_ted_translation_it_gl | zs_opt | [
-0.5106222629547119,
0.9962718486785889,
0.199355810880661,
-0.3031873106956482,
-0.052267059683799744,
-0.5145784020423889,
0.6372122764587402,
1.1866562366485596,
-0.08176983892917633,
-0.1579921841621399,
-0.5618413686752319,
0.11348682641983032,
-0.4301997423171997,
0.7147139310836792,... |
TASK DEFINITION: In this task, you are to Translate German text to English
PROBLEM: Die vorgeschlagene Loesung ist anwendbar zur Befestigung schwellenlos elastisch gelagerter Schienen im Bereich des Ueberganges zwischen Brueckenueberbau und Gelaende.
SOLUTION: The proposed solution is applicable for the attachment of sleeper elastic rails in the area of the transition between bridge superstructure and Gelaende.
PROBLEM: Verwendung finden derartige Bilderfassungssysteme in der Medizintechnik, auf Fahrzeugen, zur Inspektion von lochartigen Ausnehmungen sowie zur 360° -Bilderfassung in Räumen.
SOLUTION: Such image recording systems are used in medical technology, on vehicles, and for inspecting hole-type cavities and recording 360° images in rooms.
PROBLEM: Dieser Abschnitt (31) wird dann zum Kupplungsabschnitt.
SOLUTION: | Said section (31) acts then as a coupling section.
| 8 | NIv2 | task841_para_pdt_de_en_translation | fs_opt | [
-0.3072815537452698,
0.42664939165115356,
-0.20262320339679718,
-0.26981139183044434,
-0.13168086111545563,
0.9168583154678345,
0.9825000762939453,
0.36331626772880554,
-0.04088181257247925,
-0.693331778049469,
-0.11580121517181396,
0.5265055894851685,
0.30298835039138794,
0.31124487519264... |
Detailed Instructions: In this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label "Yes", otherwise generate label "No".
Q: English: Goldman's complaint asserts that he was discriminated against in violation of the District of Columbia Human Rights Act.
Hindi: गोल्डमैन की शिकायत में दावा किया गया है कि डिस्ट्रिक्ट ऑफ कोलंबिया ह्यूमन राइट्स एक्ट के उल्लंघन में उनके साथ भेदभाव किया गया था।
A: | Yes | 9 | NIv2 | task434_alt_en_hi_answer_generation | zs_opt | [
-0.6594891548156738,
0.07132178544998169,
0.6076490879058838,
-0.05052054673433304,
-0.2864190340042114,
-1.1091411113739014,
-0.023441821336746216,
0.18534047901630402,
-0.03691060096025467,
-0.5017286539077759,
-0.006119870115071535,
0.007853584364056587,
-0.37121981382369995,
0.56257367... |
Instructions: The input is a tweet which can be Hate Speech or Offensive. Given such a tweet, output a phrase from the tweet that makes it hate speech or offensive. The output should contain only one such phrase. The output has to be from within the tweet itself. Do not generate words or phrases not present in the tweet.
Input: f*ck <censored> white gays and f*ck <censored> their smelly loose cyst infested assholes they are the epitome of hypocrisy the pinnacle of being a musty thieves that perpetuate stereotypes on the queer community of color but love to adopt mannerisms when it in their convenience
Output: | f*ck <censored> white gays and f*ck <censored> their smelly loose cyst infested assholes | 3 | NIv2 | task1504_hatexplain_answer_generation | zs_opt | [
-0.7060613036155701,
0.8026101589202881,
0.29565346240997314,
-0.03450925648212433,
-0.16401180624961853,
-0.7061376571655273,
-0.5030977725982666,
0.8940253853797913,
0.20515874028205872,
0.5664599537849426,
-0.8373736143112183,
0.5444018840789795,
-0.26451587677001953,
-1.425765752792358... |
In this task, you are given a sentence containing a particular emotion. You must classify the sentence into one of the six emotions: 'joy', 'love', 'anger', 'fear', or 'surprise'.
[Q]: im just feeling grumpy and impatient and im ready to get things moving
[A]: anger
[Q]: i feel like i m damaged goods and that he deserves better than this
[A]: sadness
[Q]: i considered jogging since it is not too cold today but decided against it as my right ankle is already feeling tender for some reason
[A]: | love
| 5 | NIv2 | task875_emotion_classification | fs_opt | [
-0.4376087784767151,
0.45882052183151245,
0.9805867075920105,
-0.5029492378234863,
-0.1607256829738617,
-1.0011320114135742,
0.1336473971605301,
0.5954617261886597,
0.08434846997261047,
-0.6848524808883667,
-0.5710936188697815,
-0.012408756650984287,
-1.1555163860321045,
-0.553406238555908... |
Instructions: In this task, you are given a word. You should respond with a valid sentence which contains the given word. Make sure that the sentence is grammatically correct. You may use the word in a different tense than is given. For example, you may use the word 'ended' in the output where the given input word is 'end'.
Input: evade
Output: | This difficult idea seems to evade her. | 3 | NIv2 | task626_xlwic_sentence_based_on_given_word_sentence_generation | zs_opt | [
0.03590595722198486,
1.3025822639465332,
0.3575896918773651,
-0.5508731603622437,
-0.35949718952178955,
-0.599007248878479,
0.41454100608825684,
0.4087159037590027,
-0.09909629076719284,
-0.28699740767478943,
-0.6499770879745483,
-0.26076948642730713,
-0.7312893867492676,
-0.06244495138525... |
Teacher:In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label "yes" if title is right for article, otherwise generate "no".
Teacher: Now, understand the problem? Solve this instance: Abstract: Parathyroid hormone (PTH), a major regulator of bone metabolism, activates the PTHR1 receptor on the osteoblast plasma membrane to initiate signaling and induce transcription of primary response genes. Subsequently, primary genes with transcriptional activity regulate expression of downstream PTH targets. We have identified the adenovirus E4 promoter-binding protein/nuclear factor regulated by IL-3 (E4bp4) as a PTH-induced primary gene in osteoblasts. E4BP4 is a basic leucine zipper (bZIP) transcription factor that represses or activates transcription in non-osteoblastic cells. We report here that PTH rapidly and transiently induced E4bp4 mRNA in osteoblastic cells and that this induction did not require protein synthesis. PTH also induced E4BP4 protein synthesis and E4BP4 binding to a consensus but not to a mutant E4BP4 response element (EBPRE). E4BP4 overexpression inhibited an EBPRE-containing promoter-reporter construct, whereas PTH treatment attenuated activity of the same construct in primary mouse osteoblasts. Finally, E4BP4 overexpression inhibited PTH-induced activity of a cyclooxygenase-2 promoter-reporter construct. Our data suggest a role for E4BP4 in attenuation of PTH target gene transcription in osteoblasts.. Title: Parathyroid hormone-induced E4BP4/NFIL3 down-regulates transcription in osteoblasts.
Student: | yes | 6 | NIv2 | task1587_scifact_classification | zs_opt | [
0.4989500939846039,
0.3913242220878601,
-0.4324967563152313,
0.48644739389419556,
0.3082597255706787,
-0.7905706167221069,
0.5366030335426331,
0.8016610145568848,
0.30988046526908875,
0.13997143507003784,
-0.7805366516113281,
0.021800320595502853,
-0.33750081062316895,
0.047611258924007416... |
In this task, you need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'a red and yellow bus next to some bikes'. How many words end with the letter 's' in the sentence.
2
Sentence: 'a bunch of people stand atop of a green hill'. How many words end with the letter 'a' in the sentence.
2
Sentence: 'an image of a church choir singing in auditorium'. How many words end with the letter 'n' in the sentence.
| 2
| 0 | NIv2 | task163_count_words_ending_with_letter | fs_opt | [
0.15461322665214539,
0.8175677061080933,
-0.3343179225921631,
-0.33764228224754333,
-0.7231327295303345,
-0.5419790744781494,
0.32273244857788086,
0.36383840441703796,
0.7868963479995728,
-0.5580790042877197,
-0.18709373474121094,
0.43177780508995056,
0.4576777517795563,
0.1443731635808944... |
Part 1. Definition
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
Part 2. Example
وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.
Answer: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.
Explanation: The Farsi sentence is correctly translated into Galician, because the meaning is preserved.
Part 3. Exercise
اما بیماران آلزایمر اغلب قادر به دفاع از خود نیستند.
Answer: | Pero moitos doentes de alzhéimer non poden defenderse por si mesmos. | 7 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-0.8374446630477905,
1.2767765522003174,
-0.23110321164131165,
-0.337332546710968,
0.025057068094611168,
-0.31115078926086426,
0.9865828156471252,
1.0296283960342407,
0.32977113127708435,
0.045411497354507446,
-1.121177077293396,
0.7650277614593506,
-0.915278434753418,
0.16207630932331085,... |
Given the task definition, example input & output, solve the new input case.
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Example: Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectly well
Output: Positive
In the input PersonX treats PersonY's in a good way. He fells calm and pleased by the work he has done. This refers to a "Positive" reaction.
New input case for you: Event:PersonX youngest PersonY president. Intent: 1) to date him
Output: | Unknown | 1 | NIv2 | task923_event2mind_classifier | fs_opt | [
-0.5933717489242554,
0.3040647506713867,
0.1988673359155655,
-0.07852739095687866,
0.12179644405841827,
-0.3388735055923462,
0.7236189842224121,
0.2710704505443573,
0.4028380215167999,
0.05664103478193283,
0.09505538642406464,
0.21656052768230438,
-0.20878857374191284,
0.022317029535770416... |
In this task you will be given an arithmetic operation and you have to find its answer. The symbols of operators '+' and '-' has been swapped i.e you need to perform subtraction when you see a '+' symbol and addition in case of '-' symbol.
Input: Consider Input: 7371 - 9025 + 8352 - 9201 - 9297 - 3561 + 8576
Output: 21527
Input: Consider Input: 4310 + 5678 + 9065 - 8181 + 5925 - 3189 + 558
Output: -5546
Input: Consider Input: 8531 + 1008 + 8069 - 7357
| Output: 6811
| 2 | NIv2 | task085_unnatural_addsub_arithmetic | fs_opt | [
-0.684502363204956,
0.09158056974411011,
-1.0457696914672852,
0.06393593549728394,
-0.34822413325309753,
0.09134696424007416,
0.22036966681480408,
1.3497512340545654,
0.5100891590118408,
-0.5609908699989319,
-0.6517826318740845,
-0.08758661895990372,
-0.38469329476356506,
0.087448671460151... |
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