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 |
|---|---|---|---|---|---|---|
In this task, you are given a list. This list contains many lists of integers. The list is several items written within a []. Your task is to find the maximum number among the members of each inner list. The output should be a list comprised of the maximums with the same order as the internal lists.
Q: [[-123, -34, -48, -100, -143], [-11, 46, 61, 37, -156], [-26, -52, -131], [-190, -136, -31, 22, -138, 18], [-166, 66, -148, -44, -194], [-28, -76, -176, 28, -101, -183], [-160, 59], [45, -121, -43], [-13, -116, 74]]
A: | [-34, 61, -26, 22, 66, 28, 59, 45, 74] | 4 | NIv2 | task207_max_element_lists | zs_opt | [
0.05549506098031998,
0.02245313674211502,
-0.6984745264053345,
0.2312016487121582,
0.08042173832654953,
0.4526009261608124,
0.8122396469116211,
-0.030609095469117165,
0.08744647353887558,
-0.15182854235172272,
-0.6353898644447327,
0.15879902243614197,
-0.09410777688026428,
-0.0114060267806... |
Given the task definition, example input & output, solve the new input case.
Generate an appropriate title for the given text. The generated title must be short and include the main topic of the text. The preferred titles are under fifteen words.
Example: But Eluned Morgan conceded that it would be "difficult for us to stop" from a legal point of view. Her comments were criticised by a Labour AM. Alun Davies said threatening legal action "sounds like the last breath before you're thrown out of the pub". Mr Davies said he was not convinced the Welsh Government would "have a leg to stand on" in trying to shape international trade deals after Brexit. Following Donald Trump's comments during last week's trade visit that the NHS would be "on the table" in any future trade talks between the UK and the USA, Eluned Morgan said there was "absolutely no prospect whatsoever of us allowing the Welsh NHS to be part of any negotiation." The US President then rowed back on his initial comments following criticism from a number of MPs. Asked about her response to President Trump's remarks as she gave evidence to the Assembly's Brexit committee on Monday, Ms Morgan said "legally, it would be difficult for us to stop because we don't have a veto over trade". "Politically, I think it's extremely unlikely to happen," the international relations and the Welsh language minister said. "They [the UK Government] should not be concluding any trade agreements without consulting us where we have the power." Ms Morgan explained that UK and Welsh government officials are working on an agreement or 'concordat' for how future trade deals are negotiated. During a robust exchange, the Labour AM Alun Davies said: "I want something which is in law to which I can hold you to account and which colleagues in Westminster can hold the UK Government to account. "The argument we'll make life difficult for them, it sounds alright on the street, but it's not the reality of intergovernmental relations." "The United Kingdom has to find a way of functioning. "At the moment, your answers aren't giving me any confidence that there is that structure in place because, if the Welsh Government's argument is, 'we'll see you in court', it's not a very impressive argument either for the continuation of the structure of United Kingdom as a state or the commitment of the government within the United Kingdom to actually work together," he added. Responding to the criticism, Ms Morgan said: "Is the current intergovernmental structure adequate? "Absolutely not... and it's not just in relation to trade, it's in relation to almost every aspect of government policy. So, that infrastructure needs to be built."
Output: NHS Wales: Court action if trade deals affect service?
The output phrase is the appropriate title for the given text and it highlights the essence of the passage.
New input case for you: Princess Anne met with members of the Royal Yacht Squadron (RYS) on the Isle of Wight - the prestigious club the Duke of Edinburgh was once admiral of. The duke's only daughter spoke of her links and "early memories of sailing" at the Cowes-based club. The princess's visit comes ahead of her father's funeral on Saturday at Windsor Castle. Prince Philip, who died aged 99 on Friday, was Admiral of the Royal Yacht Squadron, patron of a number of clubs and president of the Royal Yachting Association. Asked by club commodore Jamie Sheldon about the vessels she had sailed on, she said: "I started really with Bloodhound [yacht]. I then regressed to dinghy sailing for a bit." She smiled as she spoke with some of the younger sailors and asked about their experiences on the water before leaving on a boat called "Warrior" and heading to the Royal Victoria Yacht Club in Fishbourne. It was announced at the weekend that the royals and their households would observe two weeks of mourning, with members of the royal family "continuing to undertake engagements appropriate to the circumstances", according to a royal official. In a statement on the Royal Family's website following the duke's death, Princess Anne described him as her "teacher, supporter and critic". She said she "most wanted to emulate" her father's example of a "life well lived and service freely given". Prince Philip will be remembered in a service at St George's Chapel in the grounds of Windsor Castle on Saturday. The televised event will be carried out in line with Covid restrictions but there will be a military presence with personnel from the Royal Navy, Royal Marines, Army and RAF. Buckingham Palace said the plans "very much" reflected the duke's wishes.
Output: | Princess Royal makes first visit after Prince Philip's death | 1 | NIv2 | task1356_xlsum_title_generation | fs_opt | [
0.25963547825813293,
0.6542384028434753,
-0.08404070138931274,
-0.6310784816741943,
0.6938952207565308,
-0.5876119136810303,
0.21282106637954712,
0.9568693041801453,
-0.5052165985107422,
0.3867141008377075,
0.5581859350204468,
0.461101233959198,
0.29320478439331055,
0.39463168382644653,
... |
Given the task definition and input, reply with output. 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: 'two elephants are standing next to some rocks'. How many words end with the letter 'e' in the sentence.
| 2 | 5 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
-0.23419412970542908,
0.7573515772819519,
0.28526079654693604,
-0.18949466943740845,
-0.7150682210922241,
-0.33189719915390015,
0.10464589297771454,
0.2727723717689514,
0.10261855274438858,
-0.661005437374115,
-0.29449865221977234,
0.23935425281524658,
-0.6120174527168274,
-0.1974941492080... |
Teacher: 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.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Title: Marcus Buys Khakis. Marcus needed clothing for a business casual event. He decided to buy a pair of khakis. The pair he bought fit him perfectly. Choices: a. Marcus was happy to have the right clothes for the event. b. He left in a huff for having his ideas mocked. c. All of his clothes were either too formal or too casual.
Solution: 5a, 2c
Reason: Marcus is buying clothes for a business event and not presenting an idea.
Now, solve this instance: Title: Paul was new at school. He wasn't sure which locker was his. Finally, a girl stopped to help him. Choices: a. He tried a few, but could never open them. b. He was thankful he had found the right locket. c. The two friends decided to trade their items.
Student: | 3a, 5b | 2 | NIv2 | task222_rocstories_two_chioce_slotting_classification | fs_opt | [
0.22305577993392944,
0.0199689120054245,
-0.07710365951061249,
0.47158896923065186,
0.25381356477737427,
0.08505872637033463,
0.020577533170580864,
1.042356014251709,
-0.30911171436309814,
0.35823434591293335,
-0.6275103092193604,
0.005783611908555031,
0.12712478637695312,
-0.3936659395694... |
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.
[Q]: [79.04, 110.342, 208.846, 132.702, 48.832, -81.929]
[A]: 82.972
[Q]: [-44.471, 208.445, 208.318, -34.134]
[A]: 84.54
[Q]: [243.786, 203.296, 241.475, 133.097, 70.183, 40.021, 23.103, 32.41]
[A]: | 123.421
| 5 | NIv2 | task094_conala_calculate_mean | fs_opt | [
-0.4556688964366913,
0.5433418154716492,
-0.8823201656341553,
-1.6076469421386719,
-0.15786723792552948,
0.1762620508670807,
0.5850914120674133,
0.15687744319438934,
-0.31487026810646057,
-0.05805039778351784,
-1.1942214965820312,
0.4933420419692993,
-0.5940335988998413,
0.1291804164648056... |
Definition: In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Input: Comment: The Mooch had a problem figuring out how to sk his own ck.
Output: | Non-identity-attack | 2 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.4705633521080017,
0.6425626277923584,
0.5950932502746582,
0.15880586206912994,
-0.4664345383644104,
0.19114238023757935,
1.18902587890625,
-0.1570357382297516,
0.8077065348625183,
0.11986276507377625,
0.04369886964559555,
-0.01674681529402733,
-0.8148418664932251,
-0.7111804485321045,
... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into English.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Perché? Perché quel profitto fa sì che qualunque soluzione da noi creata sia infinitamente riproducibile su scala.
Solution: Why? Because that profit allows whatever solution we've created to be infinitely scalable.
Reason: The Italian sentence is correctly translated into English, because the meaning is preserved.
Now, solve this instance: Sembrava, all'epoca, ancora un mare di Eden, ma adesso lo sappiamo, e ci si prospetta un paradiso perduto.
Student: | It seemed, at that time, to be a sea of Eden, but now we know, and now we are facing paradise lost. | 2 | NIv2 | task1247_ted_translation_it_en | fs_opt | [
-0.26081931591033936,
0.7301205992698669,
0.4237285256385803,
-0.8244215250015259,
-0.31349995732307434,
-0.8456019163131714,
-0.3213569223880768,
1.2302074432373047,
0.18235543370246887,
0.19487887620925903,
0.1780950278043747,
0.6416913270950317,
-1.0351582765579224,
-0.20734593272209167... |
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 it is plausible for the Head to desire the Tail or not. In this task, desire means desires of sentient entities. For example, doctors likely desire to cure a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[EX Q]: Head: people<sep>Tail: get drunk while others don't
[EX A]: Yes
[EX Q]: Head: PersonX accepts PersonY offer<sep>Tail: pay person X
[EX A]: No
[EX Q]: Head: PersonX answers PersonY's letter<sep>Tail: attach stamp
[EX A]: | No
| 6 | NIv2 | task1213_atomic_classification_desires | fs_opt | [
0.022130543366074562,
0.23392146825790405,
0.28935009241104126,
-0.45844921469688416,
-0.34141889214515686,
-1.161849021911621,
0.9493722915649414,
0.6370417475700378,
-0.4424208402633667,
-0.49203383922576904,
-0.305115282535553,
-0.404336541891098,
-0.5902949571609497,
0.1211864575743675... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.
Input: Czego potrzebujemy, by to wykorzystać? Przede wszystkim - środków.
Output: | Que fai falla para sacar proveito deles? Primeiro, recursos. | 2 | NIv2 | task1261_ted_translation_pl_gl | zs_opt | [
-0.42162787914276123,
1.2162177562713623,
-0.5746561884880066,
-0.5174423456192017,
-0.1790713518857956,
-1.0887904167175293,
0.8738315105438232,
-0.08028814196586609,
0.14275336265563965,
-0.24301114678382874,
-0.6035493612289429,
0.35763901472091675,
-0.42314714193344116,
0.2663858532905... |
In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Q: ऋणदाता फिर इन मॉर्गेज को ऋण के लिए संपार्श्विक के रूप में बंडल करते हैं, जिसे वे अन्य वित्तपोषण फर्मों, जैसे GMAC से प्राप्त करते हैं।
A: The lenders then bundle these mortgages as collateral for loans that they obtain from other financing firms, such as GMAC.
****
Q: अगर दोषी पाया गया, तो फीरिक 9 से 45 महीने जेल में बिता सकता है और यूएस$10,000 और यूएस$ 50,000 के बीच अर्थ दंड देना पड़ेगा।
A: If convicted, Feerick could spend to 9 to 45 months in jail, and pay between US$10,000 and US$50,000 in fines.
****
Q: पेर्बडी एक फ़ोटो में अराया के साथ अनाज खरीदते हुए दिखाई दे रहा है।
A: | Peberdy is seen in a photo with Araya buying grain.
****
| 4 | NIv2 | task433_alt_hi_en_translation | fs_opt | [
-0.5634896755218506,
0.307466983795166,
0.6817716360092163,
-0.326458603143692,
0.18390300869941711,
-0.1933276355266571,
-0.010897389613091946,
0.6333019733428955,
-0.31700748205184937,
-0.026809625327587128,
-1.04069185256958,
-0.07120826840400696,
-0.7649747729301453,
0.1836898773908615... |
Definition: Based on the given context, craft a common-sense question, especially those that are LONG, INTERESTING, and COMPLEX. The goal is to write questions that are easy for humans and hard for AI machines! To create such questions, here are some suggestions: A. What may (or may not) be the plausible reason for an event? B. What may (or may not) happen before (or after, or during) an event? C. What may (or may not) be a plausible fact about someone (or something)? D. What may (or may not) happen if an event happens (or did not happen)? You can also create other types of questions. DO NOT make your question answerable without looking at the context, or question of which the correct answer can be directly extracted from the context. DO NOT ask a question that requires very specialized knowledge that is not common sense. DO NOT ask too simple or too short questions. Your question must be related to the context and answerable with common sense. Try to add more variations and complexity to the questions.
Input: Context: This weekend was filled with non - stop fun . Finished 1 pm sharp , grabbed a quick bite with collegues at McDonalds then headed back home for a quick round of MJ . Played until 5 pm , was doing OK until last round .
Output: | What 's the most likely reason they chose to eat where they did ? | 2 | NIv2 | task023_cosmosqa_question_generation | zs_opt | [
0.22340121865272522,
0.14752359688282013,
-0.13538673520088196,
0.06639158725738525,
-0.45155662298202515,
0.03169156610965729,
0.2407839298248291,
0.2127131223678589,
-0.026278311386704445,
-0.1207321435213089,
-0.3466399312019348,
-0.19051221013069153,
-0.5037072896957397,
0.554718613624... |
In this task, you will be given a list. The list is several integers and letters separated with a comma, written within a []. You can create new lists by dropping one of the items in the input list. Your task is to write a list containing all the possible lists you can make by dropping one item from the input list. For example, if the input list contains two items, you can drop one of the items each time. So the output should be a list comprising two inner lists that you have created by decreasing the items.
[Q]: ['0', 'A', '0', 'H', 'o', '0', 'z']
[A]: [['0', 'A', '0', 'H', 'o', '0'], ['0', 'A', '0', 'H', 'o', 'z'], ['0', 'A', '0', 'H', '0', 'z'], ['0', 'A', '0', 'o', '0', 'z'], ['0', 'A', 'H', 'o', '0', 'z'], ['0', '0', 'H', 'o', '0', 'z'], ['A', '0', 'H', 'o', '0', 'z']]
[Q]: ['L', '7', 'Z', 'a']
[A]: [['L', '7', 'Z'], ['L', '7', 'a'], ['L', 'Z', 'a'], ['7', 'Z', 'a']]
[Q]: ['x', '3', '4', 'B']
[A]: | [['x', '3', '4'], ['x', '3', 'B'], ['x', '4', 'B'], ['3', '4', 'B']]
| 5 | NIv2 | task208_combinations_of_list | fs_opt | [
0.2537388205528259,
0.39292246103286743,
-0.3172590136528015,
0.4328708350658417,
0.5407707691192627,
-0.44099441170692444,
0.5770509243011475,
0.8879375457763672,
-0.22409096360206604,
-0.11470288783311844,
-0.6628104448318481,
0.09064117819070816,
0.201891228556633,
-0.13552546501159668,... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Polish.
Q: E é isto que as empresas têm de fazer: apostar tudo, ir aos 100%, porque depois param de investir em coisas velhas, investem em coisas novas, baixam-se custos, usam a sua cadeia de abastecimento e a sua criatividade e baixam os preços para todos poderem comprar as melhores luzes, para que possam poupar energia.
A: | Tak muszą zrobić przedsiębiorstwa: zaangażować się na 100%, przestać inwestować w stare, bo dopiero inwestując w nowe, tniesz koszty, wykorzystujesz łańcuch dostaw i kreatywność, obniżasz ceny, tak żeby wszyscy mogli kupić najlepsze oświetlenie i oszczędzać energię. | 4 | NIv2 | task1281_ted_translation_pt_pl | zs_opt | [
-0.7300925254821777,
1.1107779741287231,
-0.047975603491067886,
0.026909368112683296,
-0.20421746373176575,
-0.35322806239128113,
0.9592181444168091,
0.21199467778205872,
0.42570722103118896,
-0.41092413663864136,
-0.3345869779586792,
0.6226188540458679,
0.09398810565471649,
0.331820309162... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
“Ọ̀nà tí wọ́n ń gbà ṣe ohun tí wọ́n jọ gbà gbọ́, ìyẹn kíkẹ́kọ̀ọ́ Bíbélì, dídáhùn àwọn ìbéèrè nípa Bíbélì àti kíkọ orin tó bá Bíbélì mu, jẹ́ kó ṣe kedere pé àwọn Ẹlẹ́rìí Jèhófà ń sapá gidigidi láti ṣe gbogbo nǹkan lọ́nà tó bá Bíbélì mu. | “With respect to the joint profession of their faith as manifested in studying the Bible, answering questions on Bible topics and singing songs that are also based on Bible texts, it is clear that Jehovah’s Witnesses make a concerted effort to base everything on the Bible. | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.3519069254398346,
0.41381263732910156,
-0.03772754594683647,
0.4604628384113312,
0.2503478229045868,
-0.7822229266166687,
0.40124666690826416,
0.5596946477890015,
0.12908996641635895,
0.10175435990095139,
-0.028301505371928215,
0.38744789361953735,
-0.6916953325271606,
0.053892754018306... |
Detailed Instructions: Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.
Problem:Mohapatraは、５月１日に出されたIMDの最初の警告速報がサイクロンによって襲われそうな地域を示したと、言う。
Solution: | ម៉ូហាប៉ាត្រានិយាយថាសេចក្តីប្រកាសពត៌មានទីមួយរបស់អាយអេមឌី បានចេញនៅថ្ងៃទី1ខែឧសភា បានបង្ហាញថាតំបន់ដីគោកអាចទទួលរងផលប៉ៈពាល់ដោយសារព្យុះស៊ីក្លូន។ | 8 | NIv2 | task1121_alt_ja_khm_translation | zs_opt | [
-0.0076334779150784016,
0.2050037384033203,
-0.19810420274734497,
-0.679904580116272,
0.0016970473807305098,
-0.7003738880157471,
0.2601810097694397,
-0.022906126454472542,
-0.32763540744781494,
-0.22561372816562653,
-0.9932652711868286,
-0.36487114429473877,
-1.02996826171875,
0.394664347... |
Given a trivia question, classify broad topical category from this list: 'theater', 'geology', 'book', 'tv', 'astronomy', 'aviation', 'military', 'government', 'boxing', 'projects', 'metropolitan_transit', 'law', 'venture_capital', 'broadcast', 'biology', 'people', 'influence', 'baseball', 'spaceflight', 'media_common', 'cvg', 'opera', 'olympics', 'chemistry', 'visual_art', 'conferences', 'sports', 'language', 'travel', 'location', 'award', 'dining', 'martial_arts', 'comic_strips', 'computer', 'user', 'tennis', 'music', 'organization', 'food', 'event', 'transportation', 'fictional_universe', 'measurement_unit', 'meteorology', 'distilled_spirits', 'symbols', 'architecture', 'freebase', 'internet', 'fashion', 'boats', 'cricket', 'film', 'medicine', 'finance', 'comic_books', 'celebrities', 'soccer', 'games', 'time', 'geography', 'interests', 'common', 'base', 'business', 'periodicals', 'royalty', 'education', 'type', 'religion', 'automotive', 'exhibitions'.
Agrava, Cephlon and Virn are all fictional planets in which BBC science fiction television series? | tv | 0 | NIv2 | task900_freebase_qa_category_classification | zs_opt | [
-0.2963029444217682,
0.32182610034942627,
0.16298910975456238,
-0.09305520355701447,
0.7011385560035706,
-0.3053896427154541,
-0.006363189313560724,
0.06063758209347725,
-0.15120908617973328,
-0.34132641553878784,
-0.11269153654575348,
0.025193877518177032,
-0.5071941614151001,
-0.44849783... |
In this task you will be given a passage and a yes/no question based on the passage. You should answer the question using the information from the passage.
Example input: passage: Franchising is a way for small business owners to benefit from the economies of scale of the big corporation (franchiser). McDonald's and Subway are examples of a franchise. The small business owner can leverage a strong brand name and purchasing power of the larger company while keeping their own investment affordable. However, some franchisees conclude that they suffer the "worst of both worlds" feeling they are too restricted by corporate mandates and lack true independence. It is an assumption that small business are just franchisees, but the truth is many franchisers are also small businesses, Although considered to be a successful way of doing business, literature has proved that there is a high failure rate in franchising as well, especially in UK, where research indicates that out of 1658 franchising companies operating in 1984, only 601 remained in 1998, a mere 36%.
question: can a franchise be considered a small business?
Example output: Yes
Example explanation: Based on the passage, a franchise can be considered a small business.
Q: passage: The infield fly rule is a rule of baseball that treats certain fly balls as though caught, before the ball is caught and even if the infielder fails to catch it or drops it on purpose. The umpire's declaration of an infield fly means that the batter is out (and all force plays are removed) regardless of whether the ball is caught. The rule exists to prevent the defense from achieving a double play or triple play by failing to catch a ball that an infielder could catch with ordinary effort. The rule is limited to apply only in situations where this result is possible.
question: can you intentionally drop the ball in baseball?
A: | Yes | 3 | NIv2 | task380_boolq_yes_no_question | fs_opt | [
-0.6977742910385132,
0.591088593006134,
-0.2510421872138977,
-0.11117414385080338,
0.1571674644947052,
0.25788888335227966,
0.5449926853179932,
1.0027811527252197,
0.06719383597373962,
-0.05649407207965851,
-0.7373120188713074,
0.22342145442962646,
-0.20654630661010742,
-0.3670260608196258... |
Definition: In this task, you are given a context, a subject, a relation, and many options. Based on the context, from the options select the object entity that has the given relation with the subject. Answer with text (not indexes).
Input: Context: Rome is a city and special "comune" (named "Roma Capitale") in Italy. Rome is the capital of Italy and of the Lazio region. With 2,870,336 residents in , it is also the country's largest and most populated "comune" and fourth-most populous city in the European Union by population within city limits. The Metropolitan City of Rome has a population of 4.3 million residents. The city is located in the central-western portion of the Italian Peninsula, within Lazio (Latium), along the shores of Tiber river. The Vatican City is an independent country geographically located within the city boundaries of Rome, the only existing example of a country within a city: for this reason Rome has been often defined as capital of two states. , Germain Arena is a 7,186 - seat multi-purpose arena in Estero , Florida , United States ., Lee County is a county in the State of Florida. As of the 2010 census, the population was 618,754. The county seat is Fort Myers, and the largest city is Cape Coral., The Florida Everblades are a minor league ice hockey team based in Estero, Florida; near Fort Myers. They play in the ECHL and are affiliated with the Carolina Hurricanes of the National Hockey League (NHL) and the Charlotte Checkers of the American Hockey League (AHL). Their home games are played at Germain Arena., The ECHL (formerly the East Coast Hockey League) is a mid-level professional ice hockey league based in Princeton, New Jersey with teams scattered across the United States and one franchise in Canada. It is a tier below the American Hockey League., The Colosseum or Coliseum, also known as the Flavian Amphitheatre (Latin: "Amphitheatrum Flavium"; Italian: "Anfiteatro Flavio" or "Colosseo" ), is an oval amphitheatre in the centre of the city of Rome, Italy. Built of concrete and sand, it is the largest amphitheatre ever built. The Colosseum is situated just east of the Roman Forum. Construction began under the emperor Vespasian in AD 72, and was completed in AD 80 under his successor and heir Titus. Further modifications were made during the reign of Domitian (8196). These three emperors are known as the Flavian dynasty, and the amphitheatre was named in Latin for its association with their family name "(Flavius)"., An arena is an enclosed area, often circular or oval-shaped, designed to showcase theater, musical performances, or sporting events. The word derives from Latin "harena", a particularly fine/smooth sand used to absorb blood in ancient arenas such as the Colosseum in Rome. It is composed of a large open space surrounded on most or all sides by tiered seating for spectators. The key feature of an arena is that the event space is the lowest point, allowing for maximum visibility. Arenas are usually designed to accommodate a large number of spectators., Estero is a village in Lee County, Florida, United States. As of the 2010 census, the CDP (Census Designated Population) was 18,176. It is the home of Germain Arena, which hosts the home games for the Florida Everblades ECHL ice hockey team. Florida Gulf Coast University is also located just outside the Estero Planning District., Florida Gulf Coast University (FGCU) is a public university located in Fort Myers, Florida, part of unincorporated Lee County, Florida. The university belongs to the 12-campus State University System of Florida. FGCU competes in the Atlantic Sun Conference in NCAA Division I sports and is accredited by the Commission on Colleges of the Southern Association of Colleges and Schools to award associate's, 51 different types of bachelor's, 29 different master's, and 6 types of doctoral degrees., Subject: germain arena, Relation: operator, Options: (A) canada (B) carolina hurricanes (C) east coast (D) florida gulf coast university (E) italy (F) lee county
Output: | carolina hurricanes | 2 | NIv2 | task1296_wiki_hop_question_answering | zs_opt | [
0.8993234038352966,
0.357374906539917,
-0.22479528188705444,
0.11899645626544952,
0.9112074971199036,
-0.5911774635314941,
0.39478689432144165,
1.0492156744003296,
-0.2250588834285736,
0.5150774717330933,
0.5259616374969482,
1.2299941778182983,
-0.6559103727340698,
0.3616313934326172,
-0... |
TASK DEFINITION: In this task, you will be presented with a question having multiple possible answers in German language. And you should choose a most suitable option out of "A", "B", "C", "D", and "E" based on your commonsense knowledge.
PROBLEM: Question: Was kann übermäßiger Alkoholkonsum bis hin zur Vergiftung verursachen?
Options: A Desorientiertheit B Tod C häufiges Wasserlassen D Sex habend E schlechter Atem
SOLUTION: B
PROBLEM: Question: Wo kann man etwas über eine Kuh herausfinden, die es nicht gibt?
Options: A Feld B die freie Natur C Geschichtenbuch D Spielwarengeschäft E Scheunenhof
SOLUTION: C
PROBLEM: Question: Wenn man einen Freund trifft, was macht man dann in der Regel als erstes?
Options: A Hände schütteln B umarmen C Lächeln D Kaffee trinken E Guten Tag sagen
SOLUTION: | E
| 8 | NIv2 | task1138_xcsr_de_commonsense_mc_classification | fs_opt | [
0.23185279965400696,
0.7595946788787842,
-0.07450276613235474,
-0.42512768507003784,
-0.509903609752655,
0.020809821784496307,
1.457046389579773,
0.6542935371398926,
0.2625468373298645,
0.21932777762413025,
0.05163588374853134,
-0.09071134030818939,
-0.6427940130233765,
-0.2071428745985031... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a sentence in the Gujarati language and a corresponding English translation of the Gujarati sentence. Your task is to generate a label "Yes" if the translation is correct, otherwise generate label "No".
Gujarati: ચાર અંડાકાર આકારના મુતરડીઓ અને તમામ પ્લમ્બિંગ ખુલ્લા.
English: Four oval shaped urinals and all the plumbing exposed.
Output: | Yes | 1 | NIv2 | task440_eng_guj_parallel_corpus_gu-en_classification | zs_opt | [
-1.297487497329712,
0.8690536618232727,
0.24368242919445038,
0.3220858573913574,
-0.1273598074913025,
-0.4515182375907898,
0.11898428946733475,
-0.29842638969421387,
-0.15585267543792725,
-0.3581274747848511,
-0.38072460889816284,
0.5721340179443359,
0.09462659806013107,
-0.091884076595306... |
In this task, you will be presented with a question, and you have to write the part-of-speech tag for each word in the question. Here is the Alphabetical list of part-of-speech tags used in this task: CC: Coordinating conjunction, CD: Cardinal number, DT: Determiner, EX: Existential there, FW: Foreign word, IN: Preposition or subordinating conjunction, JJ: Adjective, JJR: Adjective, comparative, JJS: Adjective, superlative, LS: List item marker, MD: Modal, NN: Noun, singular or mass, NNS: Noun, plural, NNP: Proper noun, singular, NNPS: Proper noun, plural, PDT: Predeterminer, POS: Possessive ending, PRP: Personal pronoun, PRP$: Possessive pronoun, RB: Adverb, RBR: Adverb, comparative, RBS: Adverb, superlative, RP: Particle, SYM: Symbol, TO: to, UH: Interjection, VB: Verb, base form, VBD: Verb, past tense, VBG: Verb, gerund or present participle, VBN: Verb, past participle, VBP: Verb, non-3rd person singular present, VBZ: Verb, 3rd person singular present, WDT: Wh-determiner, WP: Wh-pronoun, WP$: Possessive wh-pronoun, WRB: Wh-adverb
Example: Who were the builders of the mosque in Herat with fire temples ?
Example solution: WP VBD DT NNS IN DT NN IN NNP IN NN NNS .
Example explanation: This is a good example. All of the POS tags are correct.
Problem: What is the original air date of the Couple 1 who is a British actress known for playing Myra McQueen in the long-running teen soap Hollyoaks ?
| Solution: WP VBZ DT JJ NN NN IN DT NNP CD WP VBZ DT JJ NN VBN IN VBG NNP NNP IN DT JJ JJ NN NNP . | 5 | NIv2 | task345_hybridqa_answer_generation | fs_opt | [
-0.20418781042099,
0.609830915927887,
-0.34804219007492065,
0.4822557270526886,
0.269907683134079,
-0.3733938932418823,
0.499688059091568,
0.6633090972900391,
-0.01897466741502285,
-0.24169838428497314,
-0.48260918259620667,
0.14928466081619263,
-0.48497146368026733,
-0.5716152787208557,
... |
Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
See one example below:
Problem: 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.
Solution: 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.
Problem: در حال حاضر متوسط سن همکاران ما 28 سال است ، بنابراین من ، در کمال حسرت ، تقریبا یک نسل قدیمی تر از بسیاری از آنها هستم.
Solution: | A idade media dos nosos compañeiros é de 28, polo que son, mal que me pese, case unha xeración máis vella ca maioría deles. | 4 | NIv2 | task1270_ted_translation_fa_gl | fs_opt | [
-1.2037887573242188,
1.030495285987854,
-0.11357884109020233,
-0.3946000635623932,
0.019733384251594543,
-0.4377288222312927,
0.40919286012649536,
1.230543851852417,
-0.033810824155807495,
0.40960949659347534,
-1.2569947242736816,
0.7139572501182556,
-0.9410706758499146,
0.0634196102619171... |
TASK DEFINITION: In this task you will be given a list of integers. You should only return an integer if the first digit is the same as the last digit in the number. If an integer has a single digit, then it should be returned. If there are no integers that start and end with the same digit then an empty list ("[]") should be returned.
PROBLEM: [-434, 15, 357, -824, 160, -961, -488, -688, -34, -592, -832, 674, -727, -82, 786, 387]
SOLUTION: [-434, -727]
PROBLEM: [-791, 501, 790, -829, -573, -679, -87, 680, 540, 547, -454, 56, -481, -965, 754, -738, 562, -994, -598, -354, 418, 770, -86, -434, -202]
SOLUTION: [-454, -434, -202]
PROBLEM: [944, 711, -17, -678, -624, 843, 82, 421, -192, 240, -972, -45, -244, 22, 973, 624, -485]
SOLUTION: | [22]
| 8 | NIv2 | task372_synthetic_palindrome_numbers | fs_opt | [
-0.29885390400886536,
-0.017606273293495178,
-0.5830984115600586,
-0.4240720272064209,
-0.2745276689529419,
0.46823421120643616,
0.4614518880844116,
0.29937148094177246,
-0.5072987079620361,
-0.19185011088848114,
-0.8895043134689331,
-0.0035669663920998573,
-0.5383472442626953,
-0.41079881... |
Given an open-ended topic (movie name, a persons name, an event, sports, etc) generate a simple trivia-type question.
Example Input: charlton heston
Example Output: Which 1959 film starring Charlton Heston won a record 11 Academy Awards?
Example Input: cervelat
Example Output: Now the national dish of Switzerland, what type of food is Cervelat?
Example Input: camptown races
Example Output: | Who wrote the songs Camptown Races and Jeanie With The Light Brown Hair?
| 3 | NIv2 | task897_freebase_qa_topic_question_generation | fs_opt | [
0.2798301875591278,
0.4239615499973297,
-0.35882872343063354,
0.17879563570022583,
0.48669445514678955,
0.10527906566858292,
0.20741209387779236,
-0.3204788863658905,
0.11778086423873901,
-1.060248613357544,
-0.2459016740322113,
-0.6958088874816895,
-0.8822914958000183,
0.0316828191280365,... |
instruction:
A text is given in English. Translate it from the English language to the Oriya language. The translation must not omit or add information to the original sentence.
question:
These flats once completed shall cater to the requirement of providing most comfortable accommodation to the Government Employees of the Central Government. This residential complex shall be a magnificent blend of Architecture and Engineering.
answer:
ପ୍ରଧାନମନ୍ତ୍ରୀ ଆହୁରି କହିଥିଲେ, ନିଜର ଜୀବନକାଳ ମଧ୍ୟରେ ବାପୁ ଆମକୁ ଦେଖାଇ ଯାଇଛନ୍ତି ଯେ ପ୍ରକୃତି ସହିତ କିଭଳି ସୌହାର୍ଦ୍ଦ୍ୟପୂର୍ଣ୍ଣ ଭାବେ ରହି ହେବ ଏବଂ ଜଣେ କିପରି ଅଙ୍ଗାରକାମ୍ଳ ବାଷ୍ପର ମାତ୍ରାକୁ କମାଇପାରିବ ।
question:
The Chief of the Royal Malaysian Navy (RMN) along with RMN corvette KD Lekir participated in the International Fleet Review-2016, at Visakhapatnam in February 2016.
answer:
ଷ୍ଟାଣ୍ଡିଂ କମିଟିର ପରବର୍ତୀ ବୈଠକଗୁଡ଼ିକରେ କମିସନଙ୍କ ସୁପାରିସର ଅନ୍ୟ ଭଲୁ୍ୟମ୍ଗୁଡ଼ିକର ସମୀକ୍ଷା କରାଯିବ । ଏଥିସହ ଜିଏସଟି, ଚତୁର୍ଦ୍ଦଶ ଅର୍ଥ କମିସନ ରିପୋର୍ଟ, ନୀତି ଆୟୋଗ ଗଠନ ଏବଂ କେନ୍ଦ୍ରୀୟ ଯୋଜନାଗୁଡ଼ିକୁ ସୁସଙ୍ଗତ କରିବା ଉପରେ ମଧ୍ୟ ଆଲୋଚନା ହେବ ।
question:
our railways minister Piyush Ji has just flagged off Mahamana Express from Baroda and our railway minister (MoS railways) Shriman Manoj Sinha Ji, who is a son of the soil of this place, he is flagging off the train from Surat. Today, its a unique moment at the time of public dedication of Mahamana Express.
answer:
| ମହାମନା ଏକ୍ସପ୍ରେସ ସମ୍ପର୍କରେ ପ୍ରଧାନମନ୍ତ୍ରୀ କହିଥିଲେ ଯେ, 2014 ସଂସଦୀୟ ନିର୍ବାଚନରେ ସେ ଉଭୟ ବାରଣାସୀ ଓ ବଦୋଦରାରୁ ନିର୍ବାଚନ ଲଢ଼ିଥିଲେ । ଏବେ ଏହି ଦୁଇଟି ସହରକୁ ରେଳ ଯୋଗେ ପରସ୍ପର ମଧ୍ୟରେ ଯୋଡିବାର ଏହା ଏକ ସଫଳ ପ୍ରୟାସ ।
| 9 | NIv2 | task987_pib_translation_english_oriya | fs_opt | [
-0.03395760804414749,
-0.026431364938616753,
-0.5769361853599548,
-0.3203746974468231,
0.7131446599960327,
-0.5577070713043213,
1.239851951599121,
0.9191867709159851,
-0.30066394805908203,
0.2678413689136505,
-0.41831332445144653,
-0.12092728912830353,
-0.6082596778869629,
0.51396024227142... |
Teacher: In this task, you need to count the occurrences of the given word in the given sentence.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'the brown cat sits perched on atop of the bed peering forward'. Count the occurrences of the word 'the' in the given sentence.
Solution: 2
Reason: The word 'the' appears two times in the given sentences. So, the answer is 2.
Now, solve this instance: Sentence: 'a baseball pitcher throwing a baseball during a game'. Count the occurrences of the word 'a' in the given sentence.
Student: | 3 | 2 | NIv2 | task158_count_frequency_of_words | fs_opt | [
0.28310418128967285,
0.4949381351470947,
-0.5479578971862793,
-0.030403781682252884,
-0.2095065414905548,
-0.21671316027641296,
-0.49321091175079346,
0.7504689693450928,
0.024095192551612854,
0.1061583161354065,
-0.6438014507293701,
0.012611625716090202,
-0.09813039004802704,
-0.0881735235... |
Teacher: You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Mio padre è medico. Ed è stato un grande vantaggio per noi. Si è occupato di lei in modo fantastico.
Solution: 父が医師だったので父に担当してもらえるという大きな利点がありました父は母に見事な治療を施しました
Reason: The Italian sentence is correctly translated into Japanese, because the meaning is preserved.
Now, solve this instance: L'unica cosa che hanno in comune è un insieme di piccolissime abitudini di vita che seguono in modo rituale per la maggior parte della vita.
Student: | 彼らに共通しているのは、いくつかの種類の細かい生活習慣を皆、生涯を通じて儀式的に行っていることです | 2 | NIv2 | task1248_ted_translation_it_ja | fs_opt | [
-0.22198548913002014,
-0.10888240486383438,
-0.3787717819213867,
-0.40156233310699463,
0.11586296558380127,
-0.0066607133485376835,
0.09847044199705124,
0.5883564352989197,
-0.09719434380531311,
-0.3642328083515167,
-0.46621400117874146,
0.001651603844948113,
-0.2833816409111023,
-0.217759... |
Definition: Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: What is the capital of the U.S. state of Connecticut?
Output: | connecticut | 2 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.7042351961135864,
0.6622351408004761,
-0.33626866340637207,
-0.06409046798944473,
-0.8770552277565002,
-0.8533642292022705,
0.06538164615631104,
0.2333267331123352,
-0.04130687564611435,
-0.4874127507209778,
-0.7553048729896545,
0.4850137233734131,
-0.9988317489624023,
0.5577567219734192... |
In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
Q: Head: PersonX keeps in mind the ___<sep>Tail: to understand them
A: Yes
****
Q: Head: PersonX develops PersonX's talents<sep>Tail: none
A: Yes
****
Q: Head: PersonX cares a jackstraw<sep>Tail: none
A: | Yes
****
| 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.534344494342804,
0.02844877913594246,
0.05717092007398605,
0.06702804565429688,
-0.4419136643409729,
-1.0219905376434326,
1.8052148818969727,
0.33445465564727783,
-0.4839420020580292,
-0.4703003168106079,
-0.30711525678634644,
-0.3636252284049988,
-1.2010478973388672,
0.5381178855895996,... |
Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Teacher: Now, understand the problem? Solve this instance: Inoltre, la salamoia prodotta spesso viene ripompata in mare,
Student: | さらに取り出された苦汁は大抵海に送り返されますが | 6 | NIv2 | task1248_ted_translation_it_ja | zs_opt | [
-0.5523301362991333,
0.5077348947525024,
-0.32308879494667053,
-0.7378854155540466,
-0.24901121854782104,
-0.5251002907752991,
-0.5857301950454712,
0.7942245602607727,
-0.3709932565689087,
-0.32878541946411133,
0.4311943054199219,
-0.15499451756477356,
-0.7288398146629333,
0.04504504799842... |
Given a sentence in Vietnamese, generate a new Vietnamese sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.
Q: Một đứa trẻ có thể xác thực tên của nó.
A: | Một đứa trẻ có thể ký tên vào cha nó. | 4 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
0.04127832502126694,
0.4295623302459717,
-0.29648852348327637,
-0.44282427430152893,
-0.7883353233337402,
-0.8661046624183655,
1.428450107574463,
1.438808560371399,
-0.5559188723564148,
-0.09934446215629578,
-0.46959739923477173,
0.5407302379608154,
-0.9836116433143616,
-0.0733360648155212... |
Detailed Instructions: Given a sentence, generate a new 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.
Q: You can use a line to carry phone conversations.
A: | You can resize a feature to carry phone conversations . | 9 | NIv2 | task413_mickey_en_sentence_perturbation_generation | zs_opt | [
-0.450468510389328,
0.6669355630874634,
-0.3292560279369354,
-0.7621279358863831,
0.1353733390569687,
-0.8046797513961792,
0.35417360067367554,
0.545613169670105,
-0.07166118919849396,
-0.23005038499832153,
-1.045702576637268,
0.5036001801490784,
-0.08847931772470474,
0.1515934318304062,
... |
Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
One example is below.
Q: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Bahasa Indonesia: Detil diberikan oleh Sekretaris Kementerian Transportasi UK, Ruth Kelly, di Dewan Perwakilan Rakyat kemarin 17:30 UTC.
A: Yes
Rationale: The converted Bahasa Indonesia sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Q: Japanese: バスが見学者を下にある駐車場からダムの壁の上まで連れて行った。
Bahasa Indonesia: Bus-bus membawa pengunjung dari tempat parkir kendaraan dibawah ke atas dinding waduk.
A: | Yes | 9 | NIv2 | task1117_alt_ja_id_answer_generation | fs_opt | [
-0.4249795079231262,
0.2524315118789673,
0.1545289307832718,
0.27452385425567627,
0.07442988455295563,
-0.47534170746803284,
0.37829187512397766,
-0.5825680494308472,
0.08244797587394714,
-0.032203949987888336,
-0.016079338267445564,
0.8230704069137573,
-0.26723092794418335,
0.897860705852... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given four sentences of a story written in natural language, and one last sentence (Sentence5). Your job is to classify whether the last sentence completes the rest of the story coherently or not by providing 'Yes' or 'No'.
Sentence1: One day Adam bought two BB guns. Sentence2: He gave one to his son, Christian. Sentence3: Christian wanted to play with the guns in the house. Sentence4: Christian shot the gun and broke the screen on the television.
Sentence5: Adam was very proud of Christian.
Output: | No | 1 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
0.13102927803993225,
0.10051185637712479,
0.11892643570899963,
-0.46507421135902405,
0.13327471911907196,
-0.48208481073379517,
0.6997976303100586,
0.5775370597839355,
0.39229315519332886,
0.5561553835868835,
-0.15729565918445587,
-0.1262546181678772,
-0.6027804017066956,
-0.17144826054573... |
You will be given a definition of a task first, then some input of the task.
In this task, you're given a review from Amazon and category of the product based on the review given by the user and your task is classify whether the given category match the review. Generate "True" if given review and its category match, otherwise generate "False".
Reviews: After listening to two songs on this speaker, it randomly shuts off. The speaker works great for the first two songs it plays, but it is very frustrating to have to set the speaker back up after only listening to two songs.
Category: apparel
Output: | False | 1 | NIv2 | task1308_amazonreview_category_classification | zs_opt | [
-0.4269278943538666,
0.37749117612838745,
-0.17155049741268158,
0.3580007553100586,
0.010688448324799538,
0.21348333358764648,
0.7769263386726379,
0.33875274658203125,
0.07700800150632858,
0.538988471031189,
-0.42314934730529785,
0.04964175820350647,
-0.2980886697769165,
-0.139928758144378... |
Given a sentence, generate a most likely context or previous statement. The previous statement should be relevant to the given statement.
Teammates throw balls to someone who drops them in a bucket beside third base.
Now as we rove over a river toward a city, words appear.
The girl braids her hair together in french braids.
The girl adds hair product to her hair and combs it through with her hands.
Then, the person and the man continues sailing in the boat.
| A person tries to get in the sailboat where there is a man.
| 0 | NIv2 | task455_swag_context_generation | fs_opt | [
0.4441571831703186,
0.6416787505149841,
-1.180311918258667,
-0.2483154535293579,
-0.023734457790851593,
0.0650235116481781,
0.6678228974342346,
0.35413995385169983,
0.03605957701802254,
-0.46978896856307983,
-0.17397795617580414,
0.6028093099594116,
-0.36072689294815063,
-0.625909566879272... |
Given the task definition, example input & output, solve the new input case.
In this task, you're expected to write answers to questions involving multiple references to the same entity. The answer to the question should be unambiguous and a phrase in the paragraph. Most questions can have only one correct answer.
Example: Passage: Nearing London, Oliver encounters Jack Dawkins, a pickpocket more commonly known by the nickname the "Artful Dodger", and his sidekick, a boy of a humorous nature named Charley Bates, but Oliver's innocent and trusting nature fails to see any dishonesty in their actions. The Dodger provides Oliver with a free meal and tells him of a gentleman in London who will "give him lodgings for nothing, and never ask for change". Grateful for the unexpected assistance, Oliver follows the Dodger to the "old gentleman's" residence. In this way Oliver unwittingly falls in with an infamous Jewish criminal known as Fagin, the gentleman of whom the Artful Dodger spoke. Ensnared, Oliver lives with Fagin and his gang of juvenile pickpockets in their lair at Saffron Hill for some time, unaware of their criminal occupations. He believes they make wallets and handkerchiefs.
Question: Who believes Fagin's gang make wallets and handkerchiefs?
Output: Oliver.
In the sentence "He believes they make wallets and handkerchiefs", the pronoun "he" refers to name "Oliver".
New input case for you: Passage: Nicolas Rolin was appointed Chancellor of Burgundy by Philip the Good in 1422, a position he held for the next 33 years. His tenure with the duke made him a wealthy man, and he donated a large portion of his fortune for the foundation of the Hôtel-Dieu in Beaune. It is not known why he decided to build in Beaune rather than in his birthplace of Autun. He may have chosen Beaune because it lacked a hospital and an outbreak of the plague decimated the population between 1438 and 1440. Furthermore, when in 1435 the Treaty of Arras failed to bring a cessation to the longstanding hostility and animosity between Burgundy and France, the town suffered brutal ravages and famine from écorcheurs (marauding bands) who roamed the countryside during the late 1430s and early 1440s. The hospice was built after Rolin gained permission from Pope Eugene IV in 1441, and it was eventually consecrated on 31 December 1452. In conjunction, Rolin established the religious order of "Les sœurs hospitalières de Beaune". Rolin dedicated the hospice to St Anthony Abbot, who was commonly associated with sickness and healing during the Middle Ages.
In the hospice's founding charter, signed in August 1443, Rolin wrote that "disregarding all human concerns and in the interest of my salvation, desiring by a favourable trade to exchange for celestial goods temporal ones, that I might from divine goodness render those goods which are perishable for ones which are eternal ... in gratitude for the goods which the Lord, source of all wealth, has heaped upon me, from now on and for always, I found a hospital." In the late 1450s, only a few years before he died, he added a provision to the hospital charter stipulating that the Mass for the Dead be offered twice daily. Rolin's wife, Guigone de Salins, played a major role in the foundation, as probably did his nephew Jan Rolin. De Salins lived and served at the hospice until her own death in 1470.Documents regarding the artwork's commissioning survive and, unusually for a Netherlandish altarpiece, the artist, patron, place of installation and date of completion are all known. It was intended as the centrepiece for the chapel, and Rolin approached van der Weyden around 1443, when the hospital was founded. The altarpiece was ready by 1451, the year the chapel was consecrated. Painted in van der Weyden's Brussels workshop – most likely with the aid of apprentices – the completed panels were then transported to the hospice. The altarpiece is first mentioned in a 1501 inventory, when it was positioned on the high altar.
Question: What suffered brutal ravages and famine?
Output: | Burgundy. | 1 | NIv2 | task002_quoref_answer_generation | fs_opt | [
1.2082931995391846,
0.23630541563034058,
-0.5338661074638367,
0.3944922387599945,
0.8851207494735718,
-0.25327035784721375,
0.3924640417098999,
0.9087387323379517,
0.10613101720809937,
0.04799225181341171,
0.04803711920976639,
1.10072660446167,
-0.2268977165222168,
0.17240643501281738,
-... |
Definition: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.
Input: Organizar este proyecto llevó unos 10 años.
Output: | Zmontowanie projektu zajęło jakieś 10 lat. | 2 | NIv2 | task1102_ted_translation_es_pl | zs_opt | [
-0.06303467601537704,
0.6679033041000366,
-0.7091832756996155,
0.1003800556063652,
-0.12830711901187897,
-0.2882648706436157,
0.44297534227371216,
-0.48171770572662354,
0.801541268825531,
-0.02761305868625641,
-0.47624701261520386,
0.1955689638853073,
-0.40226149559020996,
0.23765537142753... |
Detailed Instructions: In this task, you are given a text of article and corresponding title of an article. Your task is to generate label "yes" if headline (title) is right for article, otherwise generate "no".
Q: Article: us insurance titan aig faced collapse and leading bank shares around the world plunged tuesday after the crash of lehman brothers , forcing central banks to prop up the system with tens of billions of dollars . Title: sarkozy gets poll rating boost
A: | no | 9 | NIv2 | task289_gigaword_summarization | zs_opt | [
-0.9158481955528259,
0.4494468569755554,
0.5579468011856079,
0.3909452557563782,
0.1033446192741394,
-0.545687735080719,
0.5247006416320801,
0.8893015384674072,
-0.11552959680557251,
0.41222313046455383,
-0.36432820558547974,
0.26187795400619507,
-0.5851396322250366,
0.6647243499755859,
... |
In this task, you're given a story (which contains five sentences only). Your task is to find all the characters which are available in the given story.
Q: Sentence1: My husband refused to eat spaghetti. Sentence2: He told me he liked it but wouldn't eat it. Sentence3: I asked him why he wouldn't eat it. Sentence4: He said it was because his dad ate it twice per week. Sentence5: He liked it, he was just sick of it.
A: | I (myself), Husband, His dad | 4 | NIv2 | task292_storycommonsense_character_text_generation | zs_opt | [
0.23969125747680664,
0.2801344394683838,
0.317588746547699,
-0.009049814194440842,
0.18868762254714966,
-0.31881457567214966,
0.4983961284160614,
0.5117114782333374,
0.4254423677921295,
-0.2468048334121704,
-0.519631028175354,
-0.1647263467311859,
-0.692857027053833,
-0.14563310146331787,
... |
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 English.
天井の格子や照明を構成する部材は － それらの個体寸法等の質を失いながら － ますます細分化された寸法に移行します
| The elements that make up the ceiling grid and the lighting, they're all losing their modular quality, and moving more and more to these infinitesimal dimensions. | 5 | NIv2 | task1222_ted_translation_ja_en | zs_opt | [
-0.8063429594039917,
0.387268602848053,
0.20655792951583862,
-0.2880055904388428,
0.25519368052482605,
-0.7472739219665527,
-0.08950288593769073,
0.2747310996055603,
-0.44020894169807434,
-0.17923668026924133,
-0.10590735822916031,
0.2530342936515808,
-0.8858855366706848,
0.720454752445221... |
Generate an overlapping word between the given two sentences. When you find the overlapping words, they don't have to match exactly, e.g., "survival" and "survive" are valid overlapping words. Little words like "the" or "of" don't count! You must generate significant words which are not the stop words.
[EX Q]: Sentence1: Fission is a type of reproduction, but a baby is the result of sexual reproduction.
Sentence2: the fallopian tubes are used to make babies.
[EX A]: baby
[EX Q]: Sentence1: high pressure systems cause clear weather.
Sentence2: Weather Clear weather usually means good visibility.
[EX A]: clear
[EX Q]: Sentence1: Animals are a kingdom of multicellular eukaryotes.
Sentence2: All plants are eukaryotes.
[EX A]: | eukaryotes
| 6 | NIv2 | task039_qasc_find_overlapping_words | fs_opt | [
0.09868978708982468,
0.8702365159988403,
-0.006399877369403839,
-0.29280710220336914,
-0.2725314199924469,
-0.469769150018692,
0.33501994609832764,
0.8221145272254944,
-0.36362019181251526,
-0.26184993982315063,
-0.6929333209991455,
0.03469778597354889,
-0.840401291847229,
0.46047610044479... |
Detailed Instructions: In this task, you are given inputs i,j, and A, where i and j are integers and A is a list. You need to list all elements of A from the ith element to the jth element in the reverse order. i and j will be non-negative, and will always have a value less than the length of A. i will always be less than j.
See one example below:
Problem: 1, 3, ['z', 'h', 'Y', 'U', '2799']
Solution: Y, h, z
Explanation: Here, all the elements between the 1st element and 3rd element in reverse order are 'Y', 'h', and 'z'.
Problem: 1, 2, ['u', 'X', 'U']
Solution: | X, u | 4 | NIv2 | task099_reverse_elements_between_index_i_and_j | fs_opt | [
-0.2632000148296356,
-0.10953900963068008,
-0.5028162598609924,
-0.4069439172744751,
0.1275366246700287,
-0.44929784536361694,
0.4896152913570404,
-0.18517839908599854,
-0.3222883939743042,
0.31452643871307373,
-1.0701254606246948,
-0.012794189155101776,
0.2697269022464752,
-0.025888085365... |
Teacher:In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.
Teacher: Now, understand the problem? Solve this instance: A toaster is decorated with kitchen utensils to have a sad expression.
Student: | એક ટોસ્ટર એક ઉદાસી અભિવ્યક્તિ માટે રસોડું વાસણો સાથે શણગારવામાં આવે છે. | 6 | NIv2 | task438_eng_guj_parallel_corpus_en_gu_translation | zs_opt | [
-0.2497662901878357,
0.34707581996917725,
0.11806420981884003,
-0.5726059675216675,
0.44203051924705505,
-0.8336002826690674,
-0.004144685342907906,
0.388877272605896,
-0.04994766041636467,
-0.41073569655418396,
0.3233644366264343,
0.11618702113628387,
-0.6401904821395874,
-0.0771697461605... |
Definition: Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Input: Question: What are the outer-shell electrons of an atom called? Answer: valence electrons
Output: | Valence electrons are the outer-shell electrons of an atom. | 2 | NIv2 | task593_sciq_explanation_generation | zs_opt | [
0.45328083634376526,
1.1565687656402588,
-0.2823980450630188,
0.27367478609085083,
-0.2948411703109741,
-0.7247554063796997,
0.3654554486274719,
0.658105731010437,
0.3571901321411133,
0.30043452978134155,
-0.12866145372390747,
0.17531761527061462,
-0.4588318169116974,
0.5181067585945129,
... |
Given the task definition and input, reply with output. Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.
คาดีรอฟไม่ได้มาขึ้นศาล แต่ นายอันเดร คราสเนนคอฟ ผู้ซึ่งเป็นทนายของเขาก็ไม่เบิกตัวพยานขึ้นมาให้การ หรือซักพยานของทนายฝ่ายจำเลย
| カディロフは法廷に現れなかったが、弁護士のアンドレイ・Krasnenkovは、被告側からの証人を呼ぶことも尋問することもなかった。 | 5 | NIv2 | task1128_alt_th_ja_translation | zs_opt | [
-0.5291759371757507,
0.34279757738113403,
-0.1571679711341858,
-0.7064462900161743,
-0.3219854533672333,
0.32353752851486206,
0.8732603788375854,
0.20004378259181976,
0.04993974417448044,
-0.5142452716827393,
-0.4994770586490631,
0.48514029383659363,
-1.4902740716934204,
0.8287221789360046... |
In this task, you are given a text from tweets and a boolean question whether this tweet has positive sentiment or negative sentiment. Your task is to generate answer "yes" when the tweet has that particular sentiment, otherwise generate answer "no".
Example input: Tweet: @justinchuan Awww! I was thinking about you lot up there! Glad you enjoyed it Question: is it a positive tweet?
Example output: yes
Example explanation: There is an expression of happiness in this tweet text, hence, we can say it's positive. So answer is 'yes'.
Q: Tweet: goodnight everyone, Iowa City... I will see you tomorrow night!!! Lukester.... woo hoo!!! Question: is it a positive tweet?
A: | yes | 3 | NIv2 | task196_sentiment140_answer_generation | fs_opt | [
-1.2033451795578003,
0.21293248236179352,
0.21962228417396545,
0.22603869438171387,
0.11790778487920761,
-0.8651523590087891,
0.05678606033325195,
0.41381627321243286,
0.1406402885913849,
0.32255125045776367,
-0.4713376462459564,
-0.090306356549263,
-0.26127195358276367,
-0.281242132186889... |
Teacher:In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: identity-attack and non-identity-attack. Identity attack refers to anything rude or disrespectful about someone's identity, including appearance, race, gender, and sexual orientation.
Teacher: Now, understand the problem? Solve this instance: Comment: Tony may give up his seat in Muskoka. Whether or not O'Leary would be as adept at doling out stamped concrete sidewalks, new LED streetlights, new park/sidewalk benches and garbage bins, new arenas, gazebos, and new Summit Centres .... well, that's a whole other show.
Student: | Non-identity-attack | 6 | NIv2 | task325_jigsaw_classification_identity_attack | zs_opt | [
-0.9186203479766846,
0.35836777091026306,
0.6523223519325256,
0.475336492061615,
-0.05318218469619751,
-0.6256580352783203,
0.03001018427312374,
0.09335194528102875,
0.8629908561706543,
0.06538158655166626,
0.261502206325531,
-0.25748616456985474,
-0.39728185534477234,
-1.0156861543655396,... |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.
Q: Gdy insulina każe komórce spalić więcej energii niż komórka uważa za bezpieczne, komórka odpowiada: "" Nie, wolę przechować energię "".
A: Y ahora, cuando la insulina le dice a una célula, "" Quiero que quemes más energía "", más de lo que la célula considera seguro, esta responde, "" No, gracias, en realidad prefiero almacenar esta energía "".
****
Q: W końcu teoria strun ujmuje w jedno grawitację, mechanikę kwantową, oddziaływanie elektromagnetyczne... grawitację, mechanikę kwantową, oddziaływanie elektromagnetyczne... Ale nie wystarczają jej wymiary, które widzimy.
A: Y ahora, la teoría de las cuerdas llega y dice, si, gravedad, mecánica cuántica, electromagnetismo — todas en un solo paquete, pero sólo si el universo tiene mas dimensiones de las que podemos observar.
****
Q: Aby prawo mogło być trybuną wolności, ludzie muszą, ludzie muszą ufać prawu.
A: | La gente, para que la ley sea la plataforma de la libertad, la gente tiene que confiar en ella.
****
| 4 | NIv2 | task1258_ted_translation_pl_es | fs_opt | [
-0.833899736404419,
1.3110146522521973,
-0.2018706053495407,
-0.9476980566978455,
-0.642094612121582,
-0.6085708737373352,
0.33875781297683716,
0.33505508303642273,
0.16620030999183655,
-0.4609608054161072,
-0.2109185755252838,
0.28477755188941956,
-0.6020819544792175,
0.022924546152353287... |
Given a statement about date and time, state whether the statement is true or false. The number of date/time operands in the statement ranges between 2 and 3. Let's say the values are denoted by t1, t2 and t3. The statements follow one of the following ten templates: 't1 occurs before t2, t1 doesn't occur before t2, t1 occurs after t2, t1 doesn't occur after t2, t1 occurs between t2 and t3, t1 doesn't occur between t2 and t3, t1 occured before t2 but after t3, t1 occured after t2 but before t3, t1 didn't occur before t2 but after t3, t1 didn't occur after t2 but before t3'. The output should be either 'True' or 'False'.
Example Input: July 31, 2010 occurs between 20 May 2020 and 27 May 1977
Example Output: True
Example Input: September 02, 1992 doesn't occur before 06 October 1980
Example Output: True
Example Input: 25 December 2012 occured before April 01, 1998 but after 15 July 2021
Example Output: | False
| 3 | NIv2 | task1507_boolean_temporal_reasoning | fs_opt | [
-0.08577236533164978,
0.06005276367068291,
-0.8304765820503235,
0.5193428993225098,
-0.1769743710756302,
-1.0344136953353882,
-0.3303343653678894,
0.9186956286430359,
-0.7554887533187866,
0.14731548726558685,
-0.4809105694293976,
0.045181941241025925,
0.0007779469015076756,
-0.374568551778... |
A text is given in Malayalam. Translate it from the Malayalam language to the Panjabi language. The translation must not omit or add information to the original sentence.
--------
Question: ਸੜਕੀ ਆਵਾਜਾਈ ਅਤੇ ਰਾਜਮਾਰਗ ਮੰਤਰਾਲਾ
Answer: റോഡ് ഗതാഗത, ഹൈവേ മന്ത്രാലയം
Question: 53 ਕਰੋੜ ਲੋਕਾਂ ਦੀ ਐੱਨਸੀਡੀਜ਼ ਲਈ ਸਕ੍ਰੀਨਿੰਗ ਹੋ ਚੁੱਕੀ ਹੈ। ਕੇਂਦਰੀ ਸਿਹਤ ਮੰਤਰੀ ਨੇ ਰਾਸ਼ਟਰੀਯ ਆਰੋਗਯ ਨਿਧੀ ਦੀ ਅੰਬਰੇਲਾ ਸਕੀਮ ਦੀ ਸਥਿਤੀ ਦੀ ਵੀ ਸਮੀਖਿਆ ਕੀਤੀ ਜਿਸ ਵਿੱਚ ਰਾਸ਼ਟਰੀਯ ਆਰੋਗਯ ਨਿਧੀ ਦੇ ਤਿੰਨ ਉੱਪ ਤੱਤ ਸ਼ਾਮਲ ਹਨ। ਇਹ ਤੱਤ ਹਨ - ਸਿਹਤ ਮੰਤਰੀ ਦਾ ਕੈਂਸਰ ਮਰੀਜ਼ ਫੰਡ ਅਤੇ ਅਸਧਾਰਨ ਰੋਗਾਂ ਦੇ ਸ਼ਿਕਾਰ ਗ਼ਰੀਬ ਮਰੀਜ਼ਾਂ ਦੀ ਵਿੱਤੀ ਮਦਦ ਕਰਨ ਲਈ ਸਕੀਮ। ਸਮੀਖਿਆ ਮੀਟਿੰਗ ਵਿੱਚ ਕੇਂਦਰੀ ਸਿਹਤ ਮੰਤਰੀ ਨੇ ਅਧਿਕਾਰੀਆਂ ਨੂੰ ਹਦਾਇਤ ਕੀਤੀ ਕਿ ਅਸਧਾਰਨ ਰੋਗਾਂ ਦੇ ਇਲਾਜ ਲਈ ਰਾਸ਼ਟਰੀ ਨੀਤੀ ਤਿਆਰ ਕਰਨ ਦੇ ਕੰਮ ਵਿੱਚ ਸਾਰੇ ਭਾਈਵਾਲਾਂ ਨਾਲ ਸਲਾਹ ਮਸ਼ਵਰਾ ਕਰਕੇ ਤੇਜ਼ੀ ਲਿਆਂਦੀ ਜਾਵੇ।
Answer: ആസാമില് നടപ്പാക്കുന്ന ഗോഹട്ടി ജലവിതരണ പദ്ധതി, ഗോഹട്ടി സീവേജ് പദ്ധതി, ആസാമിനും മേഘാലയയ്ക്കും ബാധകമായ നോര്ത്ത് ഈസ്റ്റ് റോഡ് നെറ്റ്വര്ക്ക് ഇംപ്രൂവ്മെന്റ് പദ്ധതി, മേഘാലയയില് നടപ്പാക്കുന്ന നോര്ത്ത് ഈസ്റ്റ് നെറ്റ്വര്ക്ക് ഇംപ്രൂവ്മെന്റ് പദ്ധതി, സിക്കിമിലെ ജൈവവൈവിധ്യ സംരക്ഷണ, വനപാലന പദ്ധതി, ത്രിപുരയിലെ സുസ്ഥിര വനപാലന പദ്ധതി, മിസോറാമിലെ സുസ്ഥിര കൃഷി, ജലസേചന സാങ്കേതിക സഹകരണ പദ്ധതി, നാഗാലാന്ഡിലെ വനപാലന പദ്ധതി എന്നിവ ജപ്പാന് സഹായം ലഭ്യമാകുന്ന ചില സുപ്രധാന പദ്ധതികളാണ്.
Question: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਕਿਹਾ ਕਿ ਮੁਦਰਾ ਯੋਜਨਾ ਅਧੀਨ 13 ਕਰੋੜ ਕਰਜ਼ੇ ਵੰਡੇ ਜਾ ਰਹੇ ਹਨ ਅਤੇ ਇਸ ਗਿਣਤੀ ਵਿੱਚੋਂ 4 ਕਰੋੜ ਕਰਜ਼ੇ ਉਨ੍ਹਾਂ ਲਾਭਾਰਥੀਆਂ ਨੇ ਲਏ ਹਨ ਜੋ ਕਿ ਪਹਿਲੀ ਵਾਰੀ ਕਰਜ਼ਾ ਲੈ ਰਹੇ ਸਨ।
Answer: | മുദ്രാ യോജനയ്ക്ക് കീഴില് 13 കോടി വായ്പകളാണ് നല്കിയതെന്ന് പറഞ്ഞ പ്രധാനമന്ത്രി, ഇവയില് നാല് കോടി വായ്പകളും വിതരണം ചെയ്തത് ആദ്യമായി ഗുണഭോക്താക്കളായവര്ക്കാണെന്ന് ചൂണ്ടിക്കാട്ടി.
| 7 | NIv2 | task1006_pib_translation_punjabi_malayalam | fs_opt | [
-0.39936932921409607,
-0.41140565276145935,
0.42613470554351807,
-0.8008170127868652,
-0.16542133688926697,
0.12632633745670319,
0.5933294296264648,
0.5328457355499268,
-0.20058609545230865,
0.11029607802629471,
-0.4725884199142456,
0.13564512133598328,
-0.2293536365032196,
0.1542951166629... |
In this task, you are given a sentence or phrase in Xhosa. You must translate it to English in a way that is equivalent in terms of meaning and grammatically correct.
Q: Kanye xa inqanawa ijonge emoyeni ixhoba malonyulwe.
A: | Only when the boat is downwind of the man is he hauled in. | 4 | NIv2 | task873_opus_xhosanavy_translation_xhosa_eng | zs_opt | [
1.1051745414733887,
1.4058958292007446,
0.41507190465927124,
-0.7904006838798523,
-0.44805318117141724,
-0.8521217107772827,
0.08885897696018219,
0.4275406002998352,
0.5207607746124268,
-0.30568015575408936,
-0.14331892132759094,
-0.18839335441589355,
-0.9041763544082642,
-0.10903746634721... |
Teacher: In this task, you need to replace a letter in the sentence with another given letter.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Sentence: 'group of motorcycle motorists trying to merge into traffic'. Replace the letter 'o' with 'n' in the sentence.
Solution: grnup nf mntnrcycle mntnrists trying tn merge intn traffic
Reason: The letter 'o' has been replaced in the letter 'n'.
Now, solve this instance: Sentence: 'a restaurant, with people eating and chefs in the background'. Replace the letter 'o' with 'c' in the sentence.
Student: | a restaurant, with pecple eating and chefs in the backgrcund | 2 | NIv2 | task160_replace_letter_in_a_sentence | fs_opt | [
-0.643589198589325,
0.7735253572463989,
-0.4883629083633423,
-1.0247864723205566,
0.21986901760101318,
-0.322259783744812,
-0.37696152925491333,
0.6619758605957031,
0.5139346718788147,
-0.2577841877937317,
-0.04302075505256653,
-0.5983777046203613,
-0.5605056881904602,
-0.5675214529037476,... |
Definition: 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.
Input: most_eq { all_rows ; format ; cd }
Output: | majority | 2 | NIv2 | task212_logic2text_classification | zs_opt | [
0.07022128999233246,
-0.3853650689125061,
-0.45525461435317993,
0.3638739585876465,
0.41616904735565186,
-0.5716311931610107,
0.7464777231216431,
0.5884210467338562,
0.480511337518692,
0.032187893986701965,
-0.1254957914352417,
0.10312560945749283,
-0.026924191042780876,
0.5768419504165649... |
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.
Example input: فالفرقة الأولى من أجهزة الحاسب سيتم تشغيلها هذا الصيف و نحن نساعد د. زنفلر في صنع استراتيجيات حول كيفية امكانية ربط الفصل مع البيت ليمتد التعليم الى بعد اليوم المدرسي.
Example output: A fines del verano estamos instalando el primer lote de computadoras y ayudando al Dr. Zullinger a desarrollar estrategias para poder conectar el aula y el hogar y extender el aprendizaje más allá del día escolar.
Example explanation: The Arabic sentence is correctly translated into Spanish, because the meaning is preserved.
Q: أنا لدي إقتراح.
A: | Tengo una sugerencia. | 3 | NIv2 | task1232_ted_translation_ar_es | fs_opt | [
-0.6831502914428711,
0.5709434151649475,
-0.5739861726760864,
-0.14378084242343903,
-0.6872739791870117,
-0.3224291503429413,
0.8831563591957092,
0.7052249312400818,
0.4305763840675354,
-0.07857202738523483,
-0.06115076690912247,
0.27557191252708435,
-0.6726956367492676,
0.0304643455892801... |
The input contains texts obtained from news articles, ted talks, movie transcripts, radio transcripts, science and technology texts, and other short articles curated from the web and professional translators. Your task is to translate the given Yoruba sentence into the English language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should be natural language and formal form of each sentence in your language. The output sentence should not be a colloquial form of the input sentence. The generated output should be in natural language which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) Numbers and fully capitalized words like SEPTEMBER, or 10 HOURS *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Please do the same in your translations.
Bẹ́ẹ̀ náà ni, fún àpẹẹrẹ, ní gbogbo àwọn ètò àwùjọ mìíràn, títí mọ́ ètò ìlera. | Same thing, for example, with any kind of social programs, even health programs. | 0 | NIv2 | task1620_menyo20k-mt_yo_en_translation | zs_opt | [
-0.45418834686279297,
0.19322896003723145,
0.06009276211261749,
0.31395411491394043,
0.16136212646961212,
-0.758993923664093,
0.34752607345581055,
0.5293340682983398,
0.07265390455722809,
-0.5030558109283447,
-0.05604684352874756,
0.2680550515651703,
-0.6075373888015747,
0.1273075640201568... |
Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.
Q: ウガッ ！
A: | اه.! | 9 | NIv2 | task1224_ted_translation_ja_ar | zs_opt | [
-0.19265122711658478,
0.40160179138183594,
-0.4338172376155853,
-1.136970043182373,
0.31071192026138306,
-0.02410910651087761,
0.7602219581604004,
-0.12594640254974365,
0.2877187132835388,
-0.5685830116271973,
-0.5815292596817017,
-0.12634603679180145,
0.2680426239967346,
-0.13722553849220... |
TASK DEFINITION: In this task, you are given inputs i and A, where i is an integer and A is a list. You need to list all the elements of A preceding the last i elements. i will always have a value less than the length of A.
PROBLEM: 1, ['413', '8413', 'C', 't', '8899', 'U', '6869', '991', 'C', '7051', 'A', '1827', '3915', 'k', '6255', 'j', '1101', 'L', 'z']
SOLUTION: 413, 8413, C, t, 8899, U, 6869, 991, C, 7051, A, 1827, 3915, k, 6255, j, 1101, L
PROBLEM: 3, ['Y', '3499', '2787', 'C', 'U', '4895']
SOLUTION: Y, 3499, 2787
PROBLEM: 1, ['5173', 'e', 'j']
SOLUTION: | 5173, e
| 8 | NIv2 | task078_all_elements_except_last_i | fs_opt | [
0.4651727080345154,
0.29616427421569824,
-0.8449308276176453,
-0.36494797468185425,
0.012387415394186974,
0.20233921706676483,
0.45954352617263794,
-0.07396768033504486,
-1.0203726291656494,
0.33642446994781494,
-0.6895447969436646,
-0.17799289524555206,
0.5511574745178223,
0.0140080377459... |
This task is about creating an unanswerable question based on a given passage. Construct a question that looks relevant to the given context but is unanswerable. Following are a few suggestions about how to create unanswerable questions:
(i) create questions which require satisfying a constraint that is not mentioned in the passage
(ii) create questions which require information beyond what is provided in the passage in order to answer
(iii) replace an existing entity, number, date mentioned in the passage with other entity, number, date and use it in the question
(iv) create a question which is answerable from the passage and then replace one or two words by their antonyms or insert/remove negation words to make it unanswerable.
--------
Question: Passage: The U.S. Army currently consists of 10 active divisions as well as several independent units. The force is in the process of contracting after several years of growth. In June 2013, the Army announced plans to downsize to 32 active combat brigade teams by 2015 to match a reduction in active duty strength to 490,000 soldiers. Army Chief of Staff Raymond Odierno has projected that by 2018 the Army will eventually shrink to "450,000 in the active component, 335,000 in the National Guard and 195,000 in U.S. Army Reserve."
Answer: How many divisions are there in the U.S. Navy?
Question: Passage: Blues rock acts that pioneered the sound included Cream, The Jimi Hendrix Experience, and The Jeff Beck Group. Cream, in songs like "I Feel Free" (1966) combined blues rock with pop and psychedelia, particularly in the riffs and guitar solos of Eric Clapton. Jimi Hendrix produced a form of blues-influenced psychedelic rock, which combined elements of jazz, blues and rock and roll. From 1967 Jeff Beck brought lead guitar to new heights of technical virtuosity and moved blues rock in the direction of heavy rock with his band, The Jeff Beck Group. Dave Davies of The Kinks, Keith Richards of The Rolling Stones, Pete Townshend of The Who, Hendrix, Clapton and Beck all pioneered the use of new guitar effects like phasing, feedback and distortion. The Beatles began producing songs in the new hard rock style beginning with the White Album in 1968 and, with the track "Helter Skelter", attempted to create a greater level of noise than the Who. Stephen Thomas Erlewine of AllMusic has described the "proto-metal roar" of "Helter Skelter," while Ian MacDonald argued that "their attempts at emulating the heavy style were without exception embarrassing."
Answer: Who was a hard rock act that pioneered the blues sound?
Question: Passage: Comic strips are generally short, multipanel comics that traditionally most commonly appeared in newspapers. In the US, daily strips have normally occupied a single tier, while Sunday strips have been given multiple tiers. In the early 20th century, daily strips were typically in black-and-white and Sundays were usually in colour and often occupied a full page.
Answer: | Where do comics never appear?
| 7 | NIv2 | task348_squad2.0_unanswerable_question_generation | fs_opt | [
0.557043194770813,
0.5137200355529785,
-0.8766542077064514,
0.26258692145347595,
0.7133480906486511,
-0.7187082767486572,
0.8993006348609924,
0.3703061044216156,
0.22218437492847443,
0.5592601299285889,
-0.2002163827419281,
0.11332672834396362,
-0.9403366446495056,
-0.2502465844154358,
0... |
instruction:
In this task, you are given dvd product reviews in Japanese 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.
question:
モー娘なんか嫌いだー . いやはや、さすがモー娘＋那須監督（｢デビルマン｣）。 出演者を見れば誰でもわかるようにこれはモー娘のプロモ映画なのですが、モー娘の小学生顔負けの大根学芸会にこれでもかというぐらいのクサいセリフが飛び交い、修学旅行の帰りのバスで見ていた（見させられた）私はまるでバスジャックに襲われたかのような恐怖の１０７分を経験いたしました。 とくになっちの「私…走る。もう絶対逃げない!」というセリフにはあまりの寒さに鳥肌が立ったぐらいです。 今となってはこの映画に出演したモー娘のほとんどが卒業してしまっているのを見て安堵感を覚えている次第です。 はっきり言いましょう。 ｢モー娘ファンのあなたもピンチになること間違いなし」
answer:
NEG
question:
これは、お勧めのクリップ集。 . デビュー・シングル「for dear」から、ラストの「malia」までのビデオ・クリップの総集編。 シンプルに始まり、終わる。 余分な映像特典も無く、そこがまた、良いのかも。 何より、映像作品としての完成度がどの曲も非常に高い。 観ていて、全然飽きが来ないのだ。 V系、ポップ路線、アンダーグラウンド・ロッカー路線と次々に変換していく様を観る事が出来、これは、清春のナルシスト性の産物だと思う。 音楽的な重要性より、いかに、自分がカッコよく見せられるか・・・で、曲を作っている気がする。 そのためか、本当にこの人は、言うことがコロコロ変る。 まぁ、しかし、この映像作品の秀逸さは、流石としか良いようがない。 この時期の彼らしか出せない魅力が凝縮されているから・・・。 そして、なぜ、僕がこの時期を贔屓してしまうかと言うと、人時がいるから・・・。 なんだ、かんだで、この二人の組み合わせは良かったとおもう。 人時は、いつもそっと、横にさりげなくいる感じだったけど、それでいて、清春の魅力をも引き出していたと、個人的には感じている。
answer:
POS
question:
“リメイク”よりも… . 声優の交代もあり、新しく生まれ変わったと言う意味で旧作をリメイクされたのでしょうが、個人的には旧作のリメイク版よりも全く違う映画が観たかったです。次回作も「魔界大冒険」のリメイクに決定しているみたいですね。これからずっとリメイク作品ばかり作るのでしょうか… 本編の内容としては、CGを使い過ぎていて、正直旧作のほうが味・迫力があったと思います。
answer:
| NEG
| 9 | NIv2 | task486_cls_japanese_dvd_classification | fs_opt | [
0.7213902473449707,
-0.5047457218170166,
-0.5151635408401489,
0.5706855058670044,
0.3311813175678253,
-0.1395520269870758,
1.0477845668792725,
1.0640264749526978,
-0.32262492179870605,
0.08458887785673141,
-0.1540856510400772,
-0.5042024850845337,
0.05418433994054794,
-0.08879169821739197,... |
You are given a math word problem and you are supposed to make use of mathematical concepts like probability, combinatorics, linear equations, sequences/series, or simple operators like addition, subtraction, division, or multiplication to answer the given question. Choose the best option from the 5 given options and report that option.
Example Input: Question: A train speeds past a pole in 15 sec and a platform 140 m long in 25 sec, its length is?
Option A: 210
Option B: 150
Option C: 160
Option D: 170
Option E: 180
Example Output: Option A
Example Input: Question: Amit, Raju and Ram agree to pay their total electricity bill in the proportion 3 : 4 : 5. Amit pays first day's bill of Rs. 50, Raju pays second day's bill of Rs. 55 and Ram pays third day's bill of Rs. 75. How much amount should Amit pay to settle the accounts?
Option A: Rs. 15.25
Option B: Rs. 17
Option C: Rs. 12
Option D: Rs. 5
Option E: NONE OF THE ABOVE
Example Output: Option D
Example Input: Question: Seller selling an apple for Rs.17, a Seller loses 1/6th of what it costs him. The CP of the apple is?
Option A: 10
Option B: 12
Option C: 18
Option D: 19
Option E: 20
Example Output: | Option C
| 3 | NIv2 | task750_aqua_multiple_choice_answering | fs_opt | [
0.4209734797477722,
0.14434963464736938,
-0.15475723147392273,
-0.021719569340348244,
0.11326738446950912,
0.03575245290994644,
0.34989655017852783,
0.7507683038711548,
0.14826366305351257,
-0.01851501688361168,
-0.5213234424591064,
0.07911869138479233,
0.07611408829689026,
-0.364114195108... |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.
آنها می خواهند بهترین فرصتها را برای فرزندانشان فراهم کنند.
Output: | Queren darlles aos seus fillos as mellores oportunidades | 1 | NIv2 | task1270_ted_translation_fa_gl | zs_opt | [
-1.2859742641448975,
0.7121301889419556,
-0.05429469794034958,
-0.47006022930145264,
-0.594868004322052,
0.24433758854866028,
0.657625675201416,
0.7956949472427368,
0.48476850986480713,
0.03145527094602585,
-0.14907634258270264,
0.3272654414176941,
-0.2486882507801056,
0.42714783549308777,... |
Part 1. Definition
Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label "Yes", otherwise generate label "No".
Part 2. Example
Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。
Thai: รายละเอียดถูกเปิดเผยโดยเลขาธิการกระทรวงคมนาคมของUK นางRuth Kelly ในสภาสามัญชน เมื่อเวลา17:30 UTC
Answer: Yes
Explanation: The converted Thai sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.
Part 3. Exercise
Japanese: １０代の時、私はシドニーに住んでいて、NRLに触れたので、当然、私はフットボール(サッカー)と共にこのゲームに強い興味を持っています。
Thai: ตามรายงานของสมาคมผู้ค้าปลีกฟิจิ พายุในครั้งนี้ได้สร้างความเสียหายต่อธุรกิจในฟิจิเป็นมูลค่ากว่าหนึ่งล้านดอลลาร์สหรัฐ
Answer: | No | 7 | NIv2 | task1129_alt_ja_th_answer_generation | fs_opt | [
-0.2957996129989624,
-0.5337924957275391,
-0.02479122020304203,
-0.037390321493148804,
0.42540431022644043,
-0.3453716039657593,
0.16028767824172974,
-0.06321374326944351,
-0.571402907371521,
-0.047792624682188034,
-0.031039312481880188,
0.6552903652191162,
-0.018079759553074837,
0.5546255... |
In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.
Q: The common denominator is the possible emergence of a disease with general bleedings – often leading to death.
A: | En vanlig gemensam nämnare är den eventuella uppkomsten av sjukdom med generella blödningar, som ofta är dödlig. | 4 | NIv2 | task1395_europa_ecdc_tm_en_sv_translation | zs_opt | [
-0.01102016493678093,
0.5748051404953003,
-0.5707395076751709,
-1.1926746368408203,
-0.11110872030258179,
-0.8832964301109314,
-0.06142010539770126,
0.6229618191719055,
0.23929889500141144,
0.138508141040802,
-0.0652461051940918,
0.7135910987854004,
-0.19736133515834808,
0.8894988298416138... |
Definition: You are given a sentence in English. Your job is to translate the English sentence into Galician.
Input: But it only increased from 0.6 of one percent to 0.8 of one percent of the ocean protected, globally.
Output: | Pero é só un aumento do 0,6 do un por cento ao 0,8 do un por cento do océano protexido, a nivel mundial. | 2 | NIv2 | task1090_ted_translation_en_gl | zs_opt | [
-0.6180577278137207,
0.9450727105140686,
-0.26865485310554504,
-1.0876045227050781,
-0.591535210609436,
-2.2678720951080322,
-0.4684840738773346,
0.7563431859016418,
-0.3589688241481781,
-0.3111211061477661,
-0.6549732089042664,
-0.4275851249694824,
-1.0557503700256348,
-0.2394025027751922... |
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is capable of the Tail or not. Being capable of something includes general capabilities, such as a human is capable of thinking and reasoning or drinking coffee. It also includes specialized capabilities such as a surgeon is capable of operating on a patient. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
[EX Q]: Head: jerk<sep>Tail: laugh at failures
[EX A]: Yes
[EX Q]: Head: resident<sep>Tail: water plants
[EX A]: Yes
[EX Q]: Head: PersonX achieves PersonY goal<sep>Tail: to make happy
[EX A]: | No
| 6 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
0.6708475351333618,
0.2919120788574219,
0.5018912553787231,
-0.19531984627246857,
0.0406193733215332,
-0.9271655678749084,
0.8630244135856628,
0.536528468132019,
-0.45261651277542114,
-0.23185178637504578,
-0.4859057664871216,
-0.5977416038513184,
-0.403968870639801,
0.07643317431211472,
... |
Teacher:You need to create a question containing a blank (_), based on the given context word. Your question must contain two persons --PersonX and PersonY. The expected answer to your question must be PersonX. PersonX and PersonY should not be equally likely to fill the blank. There should be an agreed upon answer to fill in the blank. Your generations should NOT contain potentially explicit, offensive, or adult content. Do not use the names of real people (e.g., Donald Trump, Putin, etc.) in your question. Avoid repeating the same style, pattern, or phrases in each question, try to increase diversity by varying sentence structure, blank placement, etc. Your question must contain at least 15 and at most 30 words. You must utilize the given context word while writing the question. Your question must contain only one blank. Make sure that Person X and Person Y have the same gender. In your question, PersonX and PersonY should be used only ONCE and PersonX should appear earlier than PersonY.
Teacher: Now, understand the problem? Solve this instance: Context Word: sweetened.
Student: | After PersonX won the cherry jam contest, PersonY still believed they should have won since _ sweetened with high calorie sweetener and the judges went by taste. | 6 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
-0.050736211240291595,
0.5752413272857666,
0.4365144968032837,
-1.1086227893829346,
0.09176543354988098,
-0.09146104753017426,
0.6805597543716431,
1.0070197582244873,
0.3504059314727783,
-1.0526297092437744,
-0.002644515596330166,
-0.14920024573802948,
-0.4480449855327606,
-0.1567034125328... |
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 English.
Foi unha década dourada para a xente coñecida como Carders.
| We had a champagne decade for people who we know as Carders. | 5 | NIv2 | task1238_ted_translation_gl_en | zs_opt | [
-0.48381197452545166,
0.9144303798675537,
-0.6627904176712036,
-0.1967449188232422,
-0.5457481145858765,
-1.0375807285308838,
0.2511563301086426,
0.2726057767868042,
0.43335846066474915,
-0.32600873708724976,
0.24807339906692505,
0.6935615539550781,
-0.9329030513763428,
0.0704483836889267,... |
In this task you will be given a list of strings and you need to concatenate them.
[EX Q]: ['h', 'large', 'P', 'E', 'B']
[EX A]: hlargePEB
[EX Q]: ['I', 'n', 'j', 'filled', 'a', 'such', 'p', 'M', 'j', 'd', 'm']
[EX A]: InjfilledasuchpMjdm
[EX Q]: ['n', 'manner,', 'm', 'mythologies,', 'I', 'W', 'x', 'J', 'which', 'Y', 'j']
[EX A]: | nmanner,mmythologies,IWxJwhichYj
| 6 | NIv2 | task079_conala_concat_strings | fs_opt | [
-0.16214340925216675,
0.07632235437631607,
-0.13749469816684723,
-0.6545685529708862,
-0.4136185646057129,
-0.46300554275512695,
0.8158596754074097,
0.02888229489326477,
-0.1748535931110382,
-0.5208377242088318,
-0.9633525609970093,
-0.11603960394859314,
-0.3456299304962158,
-0.51773881912... |
Detailed Instructions: In this task, you need to provide the correct option for a given problem on probability from the provided options.
See one example below:
Problem: Problem: in a throw of a coin find the probability of getting a tail ?
Options: a ) 1 / 2 , b ) 1 / 3 , c ) 1 / 4 , d ) 2 / 5 , e ) 2 / 7
Solution: a
Explanation: "s = { h , t } e = { t } p ( e ) = 1 / 2 answer is a"
Problem: Problem: a number is selected at random from the first 30 natural numbers . what is the probability that the number is a multiple of either 3 or 17 ?
Options: a ) 17 / 30 , b ) 2 / 5 , c ) 7 / 15 , d ) 4 / 15 , e ) 11 / 30
Solution: | e | 4 | NIv2 | task1424_mathqa_probability | fs_opt | [
-0.4870191216468811,
0.45230698585510254,
-0.4084247350692749,
0.029981229454278946,
-0.5162644982337952,
-0.09468071907758713,
0.9824042320251465,
1.07413649559021,
0.05477216839790344,
0.43912994861602783,
-0.46943268179893494,
0.39151865243911743,
-0.034290943294763565,
-0.3013353049755... |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Q: Who was the Roman equivalent of the Greek Goddess Artemis?
A: | artemis | 4 | NIv2 | task899_freebase_qa_topic_generation | zs_opt | [
0.6762306094169617,
1.6272435188293457,
-0.22399017214775085,
0.07081280648708344,
-0.8451532125473022,
-0.5849030017852783,
-0.11000967025756836,
0.4028362035751343,
1.1057250499725342,
-0.20176853239536285,
-0.6044615507125854,
0.8172338604927063,
-0.8282830715179443,
0.11110338568687439... |
In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.
Q: بلکه با ایشان چنین عمل نمایید؛ مذبحهای ایشان را منهدم سازید، وتمثالهای ایشان را بشکنید و اشیریم ایشان را قطع نمایید، و بتهای تراشیده ایشان را به آتش بسوزانید.
A: And the LORD commanded us to do all these statutes, to fear the LORD our God, for our good always, that he might preserve us alive, as it is at this day.
****
Q: وچون یعقوب، ایشان را دید، گفت: «این لشکرخداست!» و آن موضع را «محنایم» نامید.
A: And early in the morning Laban rose up, and kissed his sons and his daughters, and blessed them: and Laban departed, and returned unto his place.
****
Q: و گاوان لاغر زشت، هفت گاو فربه اول را میخورند.
A: | And, behold, there came up out of the river seven kine, fatfleshed and well favoured; and they fed in a meadow:
****
| 4 | NIv2 | task654_bible_fa_en_translation | fs_opt | [
0.07455392926931381,
1.1851513385772705,
-0.13346271216869354,
-0.27870485186576843,
-0.7146447896957397,
-0.3506183624267578,
0.9811003804206848,
0.15271759033203125,
-0.08493081480264664,
-0.17088085412979126,
-0.5607943534851074,
0.5221116542816162,
-0.7449862957000732,
0.16211476922035... |
The provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Norwegian 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 Norwegian language. 2) Also names ,dates and places should be preserved it should not get translated.
Q: That is natural enough, and I am glad that he should understand her value.
A: | “Det er naturlig nok, og jeg er glad for at han setter slik pris på henne. | 4 | NIv2 | task1649_opus_books_en-no_translation | zs_opt | [
-0.7989585399627686,
0.4499104619026184,
-0.10005290061235428,
0.02822425216436386,
-0.16115137934684753,
-1.004246711730957,
1.409355640411377,
-0.5618127584457397,
0.04608127102255821,
-0.6891316175460815,
0.2436986118555069,
0.6084402799606323,
-1.673694372177124,
0.45775994658470154,
... |
In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into "Extractive", "Abstractive", or "Yes-no" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.
[Q]: Word embeddings have risen in popularity for NLP applications due to the success of models designed specifically for the big data setting. Note that “big” datasets are not always available, particularly in computational social science NLP applications, where the data of interest are often not obtained from large scale sources such as the internet and social media, but from sources such as press releases BIBREF11 , academic journals BIBREF10 , books BIBREF12 , and transcripts of recorded speech BIBREF13 , BIBREF14 , BIBREF15 have proposed a model-based method for training interpretable corpus-specific word embeddings for computational social science, using mixed membership representations, Metropolis-Hastings-Walker sampling, and NCE. Experimental results for prediction, supervised learning, and case studies on state of the Union addresses and NIPS articles, indicate that high-quality embeddings and topics can be obtained using the method. The results highlight the fact that big data is not always best, as domain-specific data can be very valuable, even when it is small.
Question: Why is big data not appropriate for this task?
[A]: Abstractive
[Q]: However, all previous IE benchmarks BIBREF18 are too small to train neural network models typically used in QA, and thus we need to build a large benchmark. Therefore, we build a large scale benchmark named QA4IE benchmark which consists of 293K Wikipedia articles and 2M golden relation triples with 636 different relation types. We manually find 148 relations which can be projected to a WikiData relation out of 2064 DBpedia relations.
Question: Was this benchmark automatically created from an existing dataset?
[A]: Yes-no
[Q]: As a document classifier we employ a word-based CNN similar to Kim consisting of the following sequence of layers: $ \texttt {Conv} \xrightarrow{} \texttt {ReLU} \xrightarrow{} \texttt {1-Max-Pool} \xrightarrow{} \texttt {FC} \\ $ Future work would include applying LRP to other neural network architectures (e.g. character-based or recurrent models) on further NLP tasks, as well as exploring how relevance information could be taken into account to improve the classifier's training procedure or prediction performance.
Question: Do the experiments explore how various architectures and layers contribute towards certain decisions?
[A]: | Yes-no
| 5 | NIv2 | task462_qasper_classification | fs_opt | [
0.07349987328052521,
0.09438932687044144,
-0.1357140839099884,
0.06773968786001205,
0.3950003981590271,
-0.4549875259399414,
1.0250836610794067,
0.8051704168319702,
-0.3862822651863098,
0.41314858198165894,
-0.6904314756393433,
0.17837975919246674,
-1.1113991737365723,
0.38310322165489197,... |
Detailed Instructions: In this task, you are given two lists A,B. Find the longest common subsequence in the lists A and B.
Q: [9955, 3509, 3061, 'b', 8167, 'L', 7121, 'W', 'p', 'C', 'I', '5873', '7421', 'O', '6175', 'z', '2829', 'G', 2219, 1491, 7169, 'F', 'm', 2351, 1483, 605], [5275, 'i', 'g', 1181, 'u', 'Z', 'u', 3753, 'p', 'W', 'p', 'C', 'I', '5873', '7421', 'O', '6175', 'z', '2829', 'y', 'D', 1097]
A: | W, p, C, I, 5873, 7421, O, 6175, z, 2829 | 9 | NIv2 | task605_find_the_longest_common_subsequence_in_two_lists | zs_opt | [
-0.6110671758651733,
0.17746469378471375,
-0.22869983315467834,
-0.6991461515426636,
-0.22504501044750214,
-0.22276389598846436,
-0.0539495125412941,
-0.16372892260551453,
-0.7067782878875732,
-0.14803120493888855,
-1.356562852859497,
0.19495463371276855,
0.7762840986251831,
0.011809894815... |
Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Portugese.
به عنوان مثال این نمای هوایی است از فضای دانشگاه پلی تکنیک فدرال در لوزان (EPFL)
A: | Por exemplo, isto é uma visão aérea panorâmica do campus da EPFL. | 7 | NIv2 | task1273_ted_translation_fa_pt | zs_opt | [
-0.8055024743080139,
0.9364083409309387,
-0.26072269678115845,
-1.0935733318328857,
-0.47960078716278076,
0.11461708694696426,
0.3591923117637634,
0.3110277056694031,
0.5093164443969727,
-0.49959349632263184,
-0.3948754072189331,
0.9993164539337158,
-0.11962135881185532,
0.4663463234901428... |
In this task, You are given an open-domain question that can be answered based on factual information. Your task is to provide \*short\* answer (in a few words only) for the given question. The short answer can be one or more entities or it can also be boolean \*yes\* or \*no\*.
[EX Q]: what are the qualifications to be governor of illinois
[EX A]: a United States citizen
[EX Q]: who led the metis in the rebellions at red river in 1870 and in the northwest in 1885
[EX A]: Louis Riel
[EX Q]: who is julie having an affair with on desperate housewives
[EX A]: | Danny's father, Nick
| 6 | NIv2 | task582_naturalquestion_answer_generation | fs_opt | [
-0.921308159828186,
0.7239847779273987,
-0.10866613686084747,
-0.2692439556121826,
-0.8442512154579163,
-0.39812618494033813,
0.6070742607116699,
0.9709922075271606,
-0.2345123589038849,
0.016003895550966263,
-0.4747503399848938,
-0.2959144711494446,
-0.26185739040374756,
-0.02517494000494... |
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: 3 Egg (Medium), 1 tbsp Shiro-dashi, 3 tbsp Water, 2 tbsp Sugar, 1 tsp Sake, 1 pinch Salt
Output: | Egg, Water, Sugar, Sake, Salt | 2 | NIv2 | task570_recipe_nlg_ner_generation | zs_opt | [
-0.08534106612205505,
-0.003180893138051033,
0.23923900723457336,
-0.042916931211948395,
-0.44059139490127563,
0.11575642228126526,
1.2357063293457031,
0.20006564259529114,
-0.23679035902023315,
-0.12141776084899902,
-0.08955790102481842,
0.027510471642017365,
-1.1932547092437744,
-0.20029... |
Definition: You are given a sentence in Polish. Your job is to translate the Polish sentence into English.
Input: Ale my płacimy za szkołę.
Output: | But we pay for school. | 2 | NIv2 | task1256_ted_translation_pl_en | zs_opt | [
-0.8751505017280579,
0.4870546758174896,
0.4469907879829407,
-0.2471916228532791,
0.2168179154396057,
-0.3878519535064697,
0.5141510963439941,
-0.37212079763412476,
0.5165362358093262,
-0.38495099544525146,
0.34289538860321045,
0.048529595136642456,
-0.346567839384079,
0.16704115271568298,... |
Teacher:In this task, you are given a text from a post. Your task is to find all of the proper nouns and label them. The labels are <B-PER>, <I-PER> for persons; <B-ORG>, <I-ORG> for organizations; <B-LOC>, <I-LOC> for locations; and <B-MISC>, <I-MISC> for other nouns. The capital 'B' denotes the first word of a proper noun phrase. The capital 'I' denotes all following words of the same noun phrase. If a word is not a part of a proper noun phrase, do not label it.
Teacher: Now, understand the problem? Solve this instance: Downer is the first Australian minister to visit China since the new conservative government took office in Canberra in March .
Student: | Downer <B-PER> is the first Australian <B-MISC> minister to visit China <B-LOC> since the new conservative government took office in Canberra <B-LOC> in March . | 6 | NIv2 | task610_conllpp_ner | zs_opt | [
-0.5010284781455994,
0.13765652477741241,
-0.256808876991272,
-0.6270227432250977,
-0.3082035779953003,
0.20695583522319794,
0.7272277474403381,
0.22099770605564117,
-0.3864250183105469,
-0.27537593245506287,
-0.15459415316581726,
0.31784626841545105,
0.12212087959051132,
0.344332814216613... |
Detailed Instructions: In this task, you are given a short story consisting of exactly 5 sentences where the second sentence is missing. You are given a candidate for the second sentence and you need to identify if the given sentence connects the first sentence with the rest of the story. Indicate your answer by "Yes" if it connects, otherwise "No". Do not generate anything else apart from "Yes" or "No". The given sentence is incorrect if it changes the subsequent storyline, so that at least one of the three subsequent sentences form a consistent story.
Problem:Sentence 1: Melissa had a paper due for English class.
Sentence 3: She was furious when she got a zero on the paper
Sentence 4: The teacher told her it was because she did cite sources
Sentence 5: Melissa had to rewrite it all over again
Given Sentence 2: Brooke has already been called out in the top 10.
Solution: | No | 8 | NIv2 | task066_timetravel_binary_consistency_classification | zs_opt | [
-0.6353647708892822,
0.6810492873191833,
0.3379649519920349,
-0.0392373725771904,
0.2609397768974304,
-0.36332982778549194,
0.28106778860092163,
1.0293091535568237,
0.41266053915023804,
0.055414095520973206,
-0.0952167809009552,
-0.45229336619377136,
-0.05282686650753021,
-0.28281930088996... |
Part 1. Definition
Given a scientific question and its correct answer, generate supporting facts for the answer. This supporting fact can be an explanation for the answer to the given question.
Part 2. Example
Question: What term refers to a list of the elements that will replace the ones below them in single-replacement reactions? Answer: activity series
Answer: A list called the activity series does the same thing the periodic table does for halogens: it lists the elements that will replace elements below them in single-replacement reactions.
Explanation: This is a valid supporting statement since it connects both the answers and question to generate the supporting fact
Part 3. Exercise
Question: The motion of stars in galaxies imply that there is about 10 times as much what as in the luminous objects we can see? Answer: mass
Answer: | Figure 6.18 The diagram shows angular momentum for a circular motion. | 7 | NIv2 | task593_sciq_explanation_generation | fs_opt | [
0.811355710029602,
0.21813397109508514,
-0.6619774699211121,
-0.0011798448394984007,
-0.08707891404628754,
-0.7919233441352844,
0.38461244106292725,
0.3310016393661499,
-0.17862841486930847,
-0.7645652294158936,
-0.919649600982666,
-0.40089714527130127,
-0.4220832288265228,
-0.017364304512... |
Write a correct answer for the question. You should reason about prototypical situations and provide the correct answer. Avoid answers that provide incomplete justification for the question.
[Q]: tell me a pet that lives a long time.
[A]: dog
[Q]: when a man buys flowers for a woman, name a reason why he might choose one kind over another.
[A]: price
[Q]: name something you do to help fall asleep on a hot summer night.
[A]: | air condition/fan
| 5 | NIv2 | task820_protoqa_answer_generation | fs_opt | [
-0.8364933729171753,
0.580716609954834,
-0.3570743203163147,
0.30121737718582153,
-0.28404754400253296,
-1.8637354373931885,
0.32534047961235046,
0.3405694365501404,
-0.40340131521224976,
0.04117307439446449,
-0.2348392903804779,
0.690479040145874,
-1.1540141105651855,
-0.09549495577812195... |
Classify the given comment into 'Hope Speech' or 'Not Hope Speech'. A hope speech is defined as content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion
Example input: you have encouraged me thank you for sharing
Example output: Hope Speech
Example explanation: The given text contains content that is encouraging, positive or supportive contents and talks about equality, diversity or inclusion and is in expected language
Q: I love you Sheriff Clark. God bless you and thank you!
A: | Not Hope Speech | 3 | NIv2 | task679_hope_edi_english_text_classification | fs_opt | [
-0.5847940444946289,
-0.019738737493753433,
0.2912636995315552,
-0.18382473289966583,
-0.0631486102938652,
-1.0422751903533936,
0.42360907793045044,
0.35052797198295593,
0.31215718388557434,
0.0494285449385643,
0.03578319400548935,
-0.16787855327129364,
-0.6596149206161499,
0.1098280549049... |
TASK DEFINITION: In this task, you will be presented with a question in Dutch language, and you have to write the part-of-speech tag for each word and punctuation in the question. Here is the list of part-of-speech tags used in this task: Adj: Adjective, Adv: Adverb, Art: Article, Conj: Conjunction, Int: Interjection, N: Noun, V: Verb, Num: Number, Misc: Miscellaneous, Pron: Pronoun, Prep: Preposition, Punc: Punctuation.
PROBLEM: Ze hebben het boek aan de kant gelegd .
SOLUTION: Pron V Art N Prep Art N V Punc
PROBLEM: De eerste 17 resultaten van karkassen die momenteel onder beslag zijn in de slachthuizen zijn negatief .
SOLUTION: Art Num Num N Prep N Pron Adj Prep N V Prep Art N V Adj Punc
PROBLEM: Zo'n klimaat kunnen we missen . "
SOLUTION: | Pron N V Pron V Punc Punc
| 8 | NIv2 | task1543_conll2002_parts_of_speech_tagging_answer_generation | fs_opt | [
-0.04395289719104767,
0.6838010549545288,
0.13764050602912903,
-0.12878765165805817,
-0.06065243482589722,
0.28073567152023315,
0.2914424240589142,
0.1499200314283371,
0.3381851613521576,
-0.0032102311961352825,
-0.08161543309688568,
0.32880139350891113,
-0.9599685072898865,
0.213158816099... |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been 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 may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. 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.
Head: PersonX arrives home<sep>Tail: satisfied
Solution: Yes
Why? This is a good example. As a result of the Head, PersonX will feels satisfied.
New input: Head: PersonX arrives home from lunch<sep>Tail: to eat food
Solution: | No | 0 | NIv2 | task1203_atomic_classification_xreact | fs_opt | [
0.20148997008800507,
-0.05338374525308609,
0.37876880168914795,
-0.047794558107852936,
-0.12536227703094482,
-0.8885159492492676,
1.3355357646942139,
0.7966812252998352,
-0.5748409032821655,
-0.3286336660385132,
-0.13366785645484924,
-0.20681807398796082,
-0.8295066952705383,
0.22171896696... |
In this task, you are given a Reddit post as a text. Your task is to generate a short summary for this text. The summary must include a situation which caused humor. The summary should be one or two sentences long.
--------
Question: Text: **this is my first post to /r/tifu. sorry if i made any errors.**
------------------------------------------------------------
my parents & my sister had come to visit me at my apartment home from another state. we had decided to go to the park because we thought the weather would be good that weekend... until it happened.
we were at the park, me playing basketball with my dad and the rest of our family at the picnic table, until the clouds started forming. we thought nothing of it and continued to go on with our game. then the rain started dropping and it was starting to rain even harder when we got to our car. this is when problems started happening.
i had ridden my bicycle to the park because it couldn't fit into our car and i had my phone with me. my dad had volunteered to ride the bike home in the rain since he was used to it. (it rained in the city he lived in a lot) he headed off, but there was a problem.
the car was completely refusing to move. we had tried every solution but it wouldn't budge, even if we tried changing gears. we were panicky and tried calling after my dad, but he had already gone off. we tried texting him, but he had left his phone in the car. fuck. my mother and sister said that *i* should go run after him in the hellstorm that we were experiencing right now.
i went off and ran after him as fast as i could, slipping quite a couple of times. it had been two whole minutes before my sister came, driving down the road saying that **my dad forgot to fully start the fucking ignition.**
now here i am, completely soaked typing this up. i also realized that my phone was in my completely-soaked pocket the whole entire fucking time.
Answer: family came visiting, thunderstorm occurred, bike didn't fit in car, dad volunteered to ride bike back home, car refused to budge, ran in the rain and sacrificed my phone in the process finding out that car wasn't fully started
Question: Text: i applied for a job at a really cool, new and up-coming marketing agency and much to my surprise, they offered me an interview at their office. being the try-hard trendy company they are, of course they had an office dog and of course they had somebody offer me a selection of obscure teas as i sat down to wait.
the secretary offered me like 10 types of tea, none of which i knew, so i just chose the one with the simplest name. she brought it over and i took a sip, it was the most god awful shit-tasting thing ever to touch my tongue so i immediately convulsed...
i dropped the cup of hotter-than-the-fucking-sun herbal tea onto the office dog sitting by my feet. the dog went ham, barking, squealing, the receptionist panicked and descended into tears. the dog's fur was coming off.
i didn't get the job.
Answer: gave a dog third-degree burns with herbal tea whilst interviewing for a job.
Question: Text: so my girlfriend is in korea visiting her family and i thought i should give her a surprise when she comes back. she knows how much i love video games, so she wants to get into them but doesn't really like the traditional style of games. anyways, i thought she would love the kinect on the xbox 360, so i bought one for her (the basic 4gb with kinect). however that night i saw a kotor 2 on original xbox for sale on kijiji, now some back story is i loved kotor but couldn't ever find kotor 2 since i played the first one years after it came out. so of course i bought it, completely forgetting that i lost my original xbox in a house fire this past december (i know, crazy thing to forget). knowing that the 4gb xbox doesn't play original xbox games i turned to kijiji to find a hard drive and there sure enough some kid had posted a swap deal. he said he had a 250gb slim that he never played and wanted a lower memory system and some cash. of course this was perfect for me so i agreed on the trade and $30. we meet outside the local tim horton's (should have known something was up when he didn't get any tims, what canadian goes to a tims and doesn't get anything?). the xbox looks alright, a little dirtier than mine, but no big deal. i just trusted everything was as the kid said. needless to say i got home to find there is no hard drive in the xbox and it's console banned. tried emailing the kid but no response. (when i say kid, i mean around 17 or 18). i told the gf about it all and she was surprised by the gift but disappointed that i got ripped off. she says that it's not a big deal but either way i know i dropped the ball.
Answer: | go to make gift for the girlfriend a little better but was lied to by a teenager, and now the gift is a little worse.
| 7 | NIv2 | task511_reddit_tifu_long_text_summarization | fs_opt | [
0.14665856957435608,
0.16479969024658203,
-0.6159839034080505,
-0.5153003334999084,
0.40985506772994995,
-0.30127429962158203,
0.7603592276573181,
0.6445504426956177,
-0.15741217136383057,
-0.24793705344200134,
-0.11494283378124237,
-0.0450899638235569,
-0.6116207242012024,
0.0928776711225... |
Detailed Instructions: Indicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.
Q: Tweet: @anonymized_account Teraz niech pojedzie do Australii. Tam Aborygeni o niczym innym nie mówią tylko o łamaniu konstytucji w Polsce. , Question: Does the tweet contain cyberbullying (harmful) content?
A: | No | 9 | NIv2 | task839_cdt_classification | zs_opt | [
-0.8241159319877625,
0.6259995698928833,
0.43712854385375977,
0.5146145820617676,
-1.1682429313659668,
-0.7851536870002747,
1.1441720724105835,
-0.2852920889854431,
-0.09798859804868698,
-0.09848158806562424,
-0.025290774181485176,
0.22292926907539368,
-0.586653470993042,
-0.44829183816909... |
In this task, you're given an article, a question which often contains a blank, four options (associated with "A", "B", "C", "D") and the answer to that question. Your task is to classify whether the given answer is correct or not by providing "Yes" or "No", based on the article.
Article: I was now in my twenty third year of residence in this island and was accustomed to the place and to the manner of living. If it had not been the savages who had come to the place to disturb me, I could have been content to spent the rest of my time there, even to the last moment, till I had laid me down and died, like the old goat in the cave. I had also arrived to some little recreations and amusements, which made the time pass more pleasantly with me a great deal than it did before. At first, I had taught my Poll to speak. And he did it so familiarly and talked so clearly and plain that it was very pleasant to me. And he lived with me no less than twenty six years. How long he might live afterwards, I don't know; though I know they have an idea in Brazil that they live a hundred years. Perhaps poor Poll may be alive there still, calling Poor Robin Crusoe to this day. I wish no other English man had the bad luck to go there and hear him. But if he did, he would certainly believe it was the devil . My dog was a very pleasant and loving companion to me, for no less than sixteen years of my time, and then died of mere old age. As for my cats, they multiplied to that degree that I had to shoot several of them at first to keep them from eating up all I had. Besides these, I had two more parrots which talked pretty well and would all call Robin Crusoe, but none like my first. Nor indeed did I take the pains with any of them that I had done with him. I had also several sea-fowls, whose names I don't know, that I caught upon the shore and cut their wings. And the little stakes which I had planted before my castle wall being now grown up to a good thick bush, these fowls all lived among these low trees and bred there, which was very agreeable to me; so that as I said above, I began to be well content with the life I led if not worried about the threat from the savages.
Question: What does the passage mainly talk about?
Options: (A) Robin Crusoe treated animals kindly. (B) Robin Crusoe led a hard life on the island. (C) The animals raised by Robin Crusoe brought him much pleasure. (D) The savages always spoiled Robin Crusoe's happy life.
Asnwer: A | No | 0 | NIv2 | task310_race_classification | zs_opt | [
0.7468996047973633,
0.2582177519798279,
-0.05005217716097832,
-0.34356462955474854,
0.4489624500274658,
-0.9780128598213196,
1.0109602212905884,
0.7071347236633301,
-0.2845833897590637,
-0.03210728242993355,
-0.003751813666895032,
0.5920975208282471,
-0.689670205116272,
0.13296882808208466... |
You will be given a definition of a task first, then some input of the task.
In this task, you are given a dialogue between a user and an assistant, where users and assistants converse about geographic topics like geopolitical entities and locations. The task here is to find if the dialogue is by the user or assistant. Classify your answers into user and assistant.
Hi I would like to learn about Panama and its history, what can you tell me?
Output: | user | 1 | NIv2 | task577_curiosity_dialogs_classification | zs_opt | [
0.04929187148809433,
0.2870638966560364,
-0.21170032024383545,
-0.3200415372848511,
-0.5903456211090088,
0.16183991730213165,
0.7276238203048706,
0.15678292512893677,
0.3299488127231598,
0.0419076643884182,
-0.6601985692977905,
-0.26935887336730957,
-0.2978517413139343,
-0.316400945186615,... |
instruction:
You are given a sentence in Persian. Your job is to translate the Farsi sentence into Japanese.
question:
برنامه با جلوه های ویژه فوق العاده ای شروع شد. چرا که تغییرات آب و هوایی فجیعی وجود داشت که تا حدودی با شرایط برابر با امروز جالب به نظر می آید.
answer:
特殊効果で始まる理由は壊滅的な気候変動が起こり ― まるで今日と同じようで興味深いですが ―
question:
طبق رسم معمول ، توالی ژنوم در آزمایشگاه انجام می شود.
answer:
通常ゲノムは研究室で配列決定がなされています
question:
به علاوه ما با افراد این منظقه رابطه خیلی خوبی داریم و نمی تونیم خرابش کنیم. ولی شاید بتونی یه کاری بکنی.
answer:
| それに我々と地域住民との関係は良好だからそれを傷つけたくないんだ」彼は続けました「こうしてはどうだい
| 9 | NIv2 | task1266_ted_translation_fa_ja | fs_opt | [
-0.6320909261703491,
0.5647469162940979,
-0.3022508919239044,
-0.24439594149589539,
-1.2703603506088257,
-0.31464675068855286,
0.323386549949646,
0.39773210883140564,
0.13264575600624084,
-0.842494010925293,
-0.8096131682395935,
0.11125767976045609,
-0.4067799746990204,
0.7306498289108276,... |
Instructions: In this task, you are given inputs k, i, and A, where k and i are integers and A is a list. You need to find every ith element of A starting from the kth element. The process stops when the position of the next ith element exceeds the length of the list.
Input: 2, 1, ['6681', 'Q', '751', '479', '5851', '4205', '149', 'P', 'T', 'k', 'v', 'D', '7245', 'e', 'a', '4031', 'e']
Output: | Q, 751, 479, 5851, 4205, 149, P, T, k, v, D, 7245, e, a, 4031, e | 3 | NIv2 | task1551_every_ith_element_from_kth_element | zs_opt | [
0.08074934780597687,
0.1425742357969284,
-0.900741696357727,
-0.499453067779541,
-0.6724869012832642,
-0.038865018635988235,
0.5899437665939331,
-0.7258036732673645,
-0.32065823674201965,
-0.09465985000133514,
-0.381439208984375,
-0.47096526622772217,
0.05520614609122276,
0.338543832302093... |
Definition: You're given a sentence and your task is to classify whether the sentence is acceptable or not. Any sentence which is grammatically correct, has a naturalistic text, is written by a native speaker and which minimizes superfluous content is acceptable, otherwise unacceptable. If the sentence is acceptable then write "acceptable", otherwise "unacceptable".
Input: Sarah smiled.
Output: | acceptable | 2 | NIv2 | task616_cola_classification | zs_opt | [
-0.7926230430603027,
0.589464545249939,
0.7006294131278992,
-0.6281664967536926,
-0.14910830557346344,
-0.6045015454292297,
0.36017468571662903,
0.48899197578430176,
0.7077571153640747,
0.09159230440855026,
-0.8339897990226746,
-0.07779314368963242,
-0.22849445044994354,
-0.213299810886383... |
Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
See one example below:
Problem: Head: PersonX holds PersonY's head<sep>Tail: to be messaged
Solution: Yes
Explanation: This is a good example. As a result of the Head, PersonY will want to be messaged.
Problem: Head: PersonX achieves ___ by means<sep>Tail: to be a winner
Solution: | No | 4 | NIv2 | task1198_atomic_classification_owant | fs_opt | [
0.30689701437950134,
0.11436446011066437,
0.3993071913719177,
-0.09745188802480698,
-0.05766332894563675,
-0.8106952905654907,
0.7317589521408081,
0.6435445547103882,
-1.0598053932189941,
-0.2871244549751282,
-0.444042444229126,
-0.41728532314300537,
-0.5535181760787964,
0.0724322721362114... |
Given a story, answer the question about the story. The question is the last sentence in the input. The story has one of the three following scenarios: (1) when the individual's belief matches reality, (2) when the individual's belief does not match reality, (3) 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.
Example input: Isabella entered the hall. Olivia entered the hall. The apple is in the blue_treasure_chest. Olivia exited the hall. Isabella moved the apple to the green_basket. Where does Isabella think that Olivia searches for the apple?
Example output: blue_treasure_chest
Example explanation: Since Olivia was no longer in the hall, she last remembers the apple being in the blue_treasure_chest even though Isabella moved it to the green_basket. Since Isabella was in the hall the entire time, she knows where Olivia will look for it.
Q: Liam entered the den. Benjamin entered the den. The banana is in the blue_bathtub. Benjamin exited the den. Liam moved the banana to the blue_pantry. Liam exited the den. Benjamin entered the den. Where will Benjamin look for the banana?
A: | blue_pantry | 3 | NIv2 | task151_tomqa_find_location_easy_clean | fs_opt | [
0.472956120967865,
0.1979130506515503,
-0.3633713126182556,
-0.30889442563056946,
-0.5044692158699036,
-0.5265374183654785,
0.03278372436761856,
0.4123314619064331,
-0.014533163979649544,
-0.19457468390464783,
-0.4603439271450043,
1.100726842880249,
0.10091790556907654,
0.24648836255073547... |
You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.
[Q]: E existem várias razões.
[A]: And there are many reasons for this.
[Q]: O crescimento médio da nossa economia é de 15% nos últimos cinco anos.
[A]: The average growth of our economy is about 15 percent for the past five years.
[Q]: Fiz o teste e o resultado veio positivo.
[A]: | I took the test and the result showed I was positive.
| 5 | NIv2 | task1274_ted_translation_pt_en | fs_opt | [
0.11971735954284668,
0.6772275567054749,
0.13686278462409973,
-0.621606707572937,
-0.30980435013771057,
-0.733771026134491,
-0.9674172401428223,
0.8713134527206421,
0.6635310649871826,
-0.15284103155136108,
-0.5381155014038086,
0.6784363985061646,
-0.8934684991836548,
-0.08316318690776825,... |
In this task, you are given music product reviews in French 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.
Example Input: Magique ! . Les Clash ont réalisés un album éclectique qui garde un son coherent du début à la fin malgrès tous les styles abordés. Un très grand triple album, vendu au prix d'un simple à l'époque, les clash ayant laissés leur droits sur les ventes pour que le plus grand nombre puisse acheter leur disque ... on est bien loin du mercantilisme des artistes contemporain ! Des tubes, du rap, du funk, du rock, du gospel, du punk, des expériences musicales et le tout avec beaucoup de gout et de maîtrise. Un ENORME album.
Example Output: POS
Example Input: Un premier concert d'Albert qui ne décevra pas les amateurs d'hymne à la guitare et au Blues. . Avec "Live At The Regal De B.B. King, le live qui relance le blues. C'est un fait, le blues est une musique conçue pour être jouée en concert, que ce soit dans une petite salle ou à plus grande échelle lors d'un festival. Il n'est pas composé pour passer trois minutes dans une radio qui passe et repasse les mêmes morceaux pendant des décennies, sans se préoccuper du travail qui a été nécessaire pour constituer tout l'album. Ce premier album live du King joué le premier février 1968, au Fillmore Auditorium de Frisco, durée 38'20, publié en novembre chez Stax, suivi heureusement des deux autres "perles" en juin, devant un public blanc américain électrisé et conquis "Permanent member of the Fillmore family a great guitar: this is Mr. Albert King". Ces trois albums n'ont pas pris une ride. Son arme, le "Blues Power", référence aux divers powers de l'époque, le "Flower Power" du "Summer of Love"de 1967 pour n'en citer qu'un, et un artiste jovial au sommet de sa forme en passe de livrer un concert et un moment uniques, surtout venant d'un autodidacte. Un bijoux à suivre. L'album commence par l'instrumental "Watermelon Man" de Herbie Hancock, pour chauffer le public, 2' d'intro intense par Lucy, l'étonnante Gibson Flying V , " I can't hear you, are you ready, put your hands together" en montrant l'exemple, et conclut en produisant 40 secondes de notes aiguës si reconnaissables. S'ensuit this is "Blues Power" compo perso de plus de 10', "everybody understands the blues" et de sa voix chaude il donne des exemples qui expliquent l'essence du blues au public de jeunes non initiés, interrompus par quelques notes bleues ponctuées de cris de joie qui lui appartiennent, puis "can you feel it?". Le public répond enthousiaste, cela se sent, peu savent le manier aussi bien. J'ai assisté à nombre de concerts de blues et à la question rituelle "are you ready for the Blues"? les réponses un peu forcées, voire mollassonnes ne paraissent pas aussi naturelles, jusqu'au moment ou l'artiste réussit à dérider le public. Peut-être l'époque, mais dans tous les cas, certains savent mieux s'y prendre que d'autres pour chauffer une salle, B.B. King, Luther Allison, Lucky Peterson entre autres. Il continue d'apostropher le public, "you know I get the blues, can you dig the "Blues Power?, une fois, deux fois, et Lucy ponctue son discours, comme rageuse avec autorité. Le gaucher pince les cordes de sa guitare de droitier avec les doigts en remontant le manche, et en extirpe des notes qui donnent le frisson! Quel son pour l'époque! Que dire de l'instrumental nerveux "Night Stomps", encore une compo perso, exercice de virtuosité qui nous entraîne vers des hauteurs pour mieux nous laisser retomber sur terre dans le suivant, un slow blues de 8'45, "Blues At Sunrise", qu'il chantera de façon encore plus intense dans l'excellente session de 1983, à laquelle participe SRV, année de son premier LP, session qui paraîtra en 1999. En 1973, "Blues At Sunrise" deviendra le titre d'un album en concert toujours excellent. Plus langoureuse la musique laisse égrener les notes jouissives dont le public perçoit l'émotion et applaudit en rythme. Dernière compo virevoltante, "Look Out" démonstration finale du gaucher magique, qui se permet comme il lui arrivait parfois, quelques effets "hendrixiens", soutenu comme l'ensemble de l'œuvre, par l'organiste à la fois discret et toujours présent, James Washington, qui l'aide à construire ses dialogues, conclut une performance magistrale mais trop courte. 1968, avant Woodstock, à peine le début des guitar heroes, et pourtant quel guitariste! Qu'ont pu penser Mayall et Hendrix d'un tel phénomène?
Example Output: POS
Example Input: Toujours aussi spectaculaire !! . Marylin Manson et son gothisme exacerbé, encore un album qui ne parle que de sang, de mort, d'injustice, malgré tout moins violent que certains précédents et pourtant toujours aussi envoûtant... La dernière chanson est frissonante et la 15ème (coma black) peuvent donner un aperçu de la déprime de cet album qu'on écoutera pourtant sans discontinuer, grâce à la rage et à la beauté obscure qu'il dégage.
Example Output: | POS
| 3 | NIv2 | task484_cls_french_music_classification | fs_opt | [
1.2029192447662354,
0.23871701955795288,
-1.05302095413208,
0.22000694274902344,
0.8433282375335693,
-0.679834246635437,
1.5021233558654785,
0.6415213942527771,
-0.14713269472122192,
0.8916727304458618,
0.18826448917388916,
0.19837668538093567,
-0.42918217182159424,
0.08262906968593597,
... |
In this task, you are given a question and a context passage. You have to answer the question based on the given passage.
Example: what is the first event mentioned?, Context: The Russian Revolution is the series of revolutions in Russia in 1917, which destroyed the Tsarist autocracy and led to the creation of the Soviet Union. Following the abdication of Nicholas II of Russia, the Russian Provisional Government was established. In October 1917, a red faction revolution occurred in which the Red Guard, armed groups of workers and deserting soldiers directed by the Bolshevik Party, seized control of Saint Petersburg (then known as Petrograd) and began an immediate armed takeover of cities and villages throughout the former Russian Empire.
Example solution: Russian Revolution
Example explanation: This is a good example, and the Russian Revolution is the first event mentioned.
Problem: In which year was the share of total investment in power plants, wind and solar PV higher than 15%, 2000 or 2012?, Context: Total investment in renewable energy (including small hydro-electric projects) was $244 billion in 2012, down 12% from 2011 mainly due to dramatically lower solar prices and weakened US and EU markets. As a share of total investment in power plants, wind and solar PV grew from 14% in 2000 to over 60% in 2012. The top countries for investment in recent years were China, Germany, Spain, the United States, Italy, and Brazil. Renewable energy companies include BrightSource Energy, First Solar, Gamesa, GE Energy, Goldwind, Sinovel, Trina Solar, Vestas and Yingli.
| Solution: 2012 | 5 | NIv2 | task1295_adversarial_qa_question_answering | fs_opt | [
0.7786651849746704,
0.7000019550323486,
-0.7856048345565796,
-0.07811325788497925,
-0.07494338601827621,
0.05135655403137207,
0.8611339926719666,
1.9752379655838013,
0.26694613695144653,
0.33597615361213684,
-0.14058101177215576,
-0.07484722137451172,
-0.3690306544303894,
-0.17584514617919... |
Part 1. Definition
Given a piece of financial news and its polarity, classify it into 'true' if the polarity is correct and classify into 'false' if the polarity is incorrect. Output must be 'true' or 'false'.
Part 2. Example
news:According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .
polarity:neutral
Answer: true
Explanation: Although the author uses negative words like 'no' in the news, there is no evidence of the news begin positive or negative for any stakeholder. Hence, the polarity is neutral and the output is True.
Part 3. Exercise
news:The figure does not include food exports from Finland .
polarity:negative
Answer: | false | 7 | NIv2 | task844_financial_phrasebank_classification | fs_opt | [
-0.5544188022613525,
-0.08309398591518402,
-0.25051432847976685,
0.5542818307876587,
-0.17764419317245483,
-0.005396051332354546,
0.4455750584602356,
0.828148365020752,
0.20472273230552673,
-0.33788907527923584,
-0.7233859300613403,
0.20359110832214355,
-0.27567410469055176,
0.146161884069... |
instruction:
In this task, you are given a public comment from online platforms. You are expected to classify the comment into two classes: sexual-explicit and non-sexual-explicit. A comment is considered sexual-explicit if it explicitly portrays sexual matters.
question:
Comment: That`s why I hate and loath liberalism, its always boils down to big government knows best..!
answer:
Non-sexual-explicit
question:
Comment: Yeah but the beer they were hauling sucks......Rocky Mountain my arse!
answer:
Sexual-explicit
question:
Comment: Its not about returning to the days when you could call anybody anything. If the shoe fits, you wear it. OK, let the semantics begin with you. In today's politically correct climate you can call a Immoral, Promiscuous, Nasty Woman a: Escort, Lady of the evening, Friend with privileges, demimonde, sex worker, Prostitute, Professional in Public Relations, and it slides by and nobody riots in the streets, protests, or calls you a jerk. However, you call them a "HO", and lookout, the loud mouths crank it up. You are what you are, whether its politically correct or not, accept the facts and truth.
As far as the bathroom issue, I believe a human with a penis should use the mens bathroom. A human with a vagina should use the womans bathroom.
answer:
| Sexual-explicit
| 9 | NIv2 | task323_jigsaw_classification_sexually_explicit | fs_opt | [
-0.49037981033325195,
0.20631340146064758,
0.001890646992251277,
0.6467171907424927,
-0.18819931149482727,
-0.5472921133041382,
0.26452285051345825,
0.9059988260269165,
0.6370765566825867,
0.14604401588439941,
-0.1359720081090927,
0.7448818683624268,
-0.14023835957050323,
-0.94825762510299... |
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