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 need to count the number of words in a sentence that end with the given letter. Answer with numbers and not words.
Sentence: 'people on horses riding around the bush ntear a fores'. How many words end with the letter 'g' in the sentence. | 1 | 0 | NIv2 | task163_count_words_ending_with_letter | zs_opt | [
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You will be given a definition of a task first, then some input of the task.
You are given a sentence in Polish. Your job is to translate the Polish sentence into Italian.
Na przedstawienie "" Sultan 's Elephant "", Royal de Luxe' a przybył do Londynu czym spowodowal zastoj, opowiadajac historie o olbrzymiej, małej dziewczynce i jej przyjacielu - słoniu, podróżującym w czasie.
Output: | Per "" The Sultan's Elephant "", Royal de Luxe è arrivata nel centro di Londra e l'ha bloccato completamente per raccontare la storia di una bambina gigante e del suo amico, un elefante che viaggia nel tempo. | 1 | NIv2 | task1262_ted_translation_pl_it | zs_opt | [
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Given the task definition and input, reply with output. In this task, you are given a sentence in the Romanian language. Your job is to translate the Romanian sentence into the English language.
Două femei concurente își plimbă câinii într-un spectacol de câini.
| Two women contestants are walking their dogs in a dog show. | 5 | NIv2 | task1435_ro_sts_parallel_language_translation_ro_to_en | zs_opt | [
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] |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the numerical elements in the given list. Return 0 if no numerical element in the list.
Ex Input:
['989', '9937', '7857']
Ex Output:
3
Ex Input:
['5981', '1469', 't', '4925', '1291', '6405', 'B', '937', 'l', 'v', 'B', 'd', 'q', 'h', '6123', '8417', '3629', 'd', 'K']
Ex Output:
9
Ex Input:
['2653', '4891', '2605', 'G', 'm', '5855', 'U', '3165', '717']
Ex Output:
| 6
| 1 | NIv2 | task505_count_all_numerical_elements_in_list | fs_opt | [
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] |
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 Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label "yes" if translation is right, otherwise generate label "no".
Bulgarian: Recommendation for second reading: Sornosa Martínez, English: 33.
Output: | no | 1 | NIv2 | task273_europarl_classification | zs_opt | [
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] |
TASK DEFINITION: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into "Yes" and "No". The phrase may also contain "___", a placeholder that can be an object, a person, and/or an action.
PROBLEM: Head: PersonX bats PersonX's eyelashes<sep>Tail: to want to be cute
SOLUTION: No
PROBLEM: Head: chicken soup<sep>Tail: braise other meats
SOLUTION: Yes
PROBLEM: Head: breathalyzer<sep>Tail: measure drunkeness
SOLUTION: | Yes
| 8 | NIv2 | task1209_atomic_classification_objectuse | fs_opt | [
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Given the task definition and input, reply with output. Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
If you're looking for a water softener to reduce mineral build up in your water, this is the product you want. I have used RO systems before, and there isn't a whole lot difference between them.
| Good Review | 5 | NIv2 | task929_products_reviews_classification | zs_opt | [
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In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In the translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
--------
Question: मुझे सबसे बड़ी बात तो यह जान पड़ती है कि दोनों तरफ के सांप्रदायिक नेता एक छोटे से ऊंचे तबके के प्रतिक्रियावादी वर्ग के प्रतिनिधि होने के सिवा और कुछ नहीं हैं और ये लोग जनता की धार्मिक भावनाओं का अपने स्वार्थ साधन के लिए दुरुपयोग करते और उससे बेजा फायदा उठाते हैं ।
Answer: The outstanding fact seems to me how , on both sides , the communal leaders represent a small upper class reactionary group , and how these people exploit and take advantage of the religious passions of the masses for their own ends .
Question: इस में बात यकीनी बनाना भी शामिल हो सकता है कि लोग इंटर्व्यू के लिए और काम पर उचित समय में और उचित खर्च कर के पहुँच सकें , और इस के लिए शहरों में से बाहर की ओर और शिफ्टों में काम के लिए यातायात की सुविधा मिले और यह वचन बद्धता ली जाए कि लोग काम तक उचित दूरी तक सफर करेंगे ।
Answer: This could include ensuring people can get to interviews and jobs in a reasonable time and cost through providing transport to or from out of town locations or for shift work , in return for a commitment to travel reasonable distances to work .
Question: सरकार भी अधिक लाभ टैक़्स लगा कर और बढ़ी हुई आयकर दरों के द्वारा इस समृद्धि में अपना हिस्सा बांटने के लिए आगे आयी ।
Answer: | Government too stepped in to reap its share of this prosperity through the levy of an excess profits tax and higher income-tax rates .
| 7 | NIv2 | task424_hindienglish_corpora_hi_en_translation | fs_opt | [
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Detailed Instructions: This task is about translating a given Spanish language sentence to English.
Problem:Ya hemos visto anteriormente es cuando
Solution: | We've already seen that one of the best ways to get a high performance machine learning system, is if you take a low-bias learning algorithm, and train that on a lot of data. | 8 | NIv2 | task1692_qed_amara_translation | zs_opt | [
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Instructions: Given a comment, classify it into a 'hate' speech or 'not hate' speech. Answer using 'hate' or 'not hate'.
Input: Wallmart employees are cunts. Hate them all
Output: | not hate | 3 | NIv2 | task1604_ethos_text_classification | zs_opt | [
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TASK DEFINITION: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that contradict each other. Your job is to alter sentence 2 so that the pair agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
PROBLEM: Sentence 1: A man is standing with his eyes closed and smoking a cigarette. Sentence 2: A man is smoking a pipe.
SOLUTION: a man inhales smoke.
PROBLEM: Sentence 1: A boy on a water slide Sentence 2: The boy is cooking dinner.
SOLUTION: A boy is near the water.
PROBLEM: Sentence 1: Many people look over a railing to see what is below them in a busy area. Sentence 2: A man walks below a bridge on an empty street.
SOLUTION: | Several people look over a railing at the busy area beneath them.
| 8 | NIv2 | task186_snli_contradiction_to_entailment_text_modification | fs_opt | [
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You are given two sentences(Sentence1 and Sentence2). Answer "Yes" if these sentences are a paraphrase of one another, otherwise answer "No".
Example input: Sentence1: While it was being called mandatory , Dupont said authorities were not forcing people from their homes ., Sentence2: It was called mandatory , but Dupont said authorities did not force people to leave .
Example output: Yes
Example explanation: These sentences have the meaning. So, the output should be "Yes".
Q: Sentence1: Jacob has pushed consolidation for years , but he has said many communities , especially rural ones , have opposed it ., Sentence2: Jacob has pushed consolidation for years but said it has been opposed by many communities , especially rural ones .
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A text is given in Hindi. Translate it from the Hindi language to the Urdu language. The translation must not omit or add information to the original sentence.
Let me give you an example: केन्द्रीय सड़क परिवहन और राजमार्ग, नौवहन, रसायन और उर्वरक राज्य मंत्री श्री मनसुख मंडाविया ने कहा कि नागरिकों के लाभ के लिए परिवहन क्षेत्र में बड़ी पहल की गई है।
The answer to this example can be: مرکزی روڈ ٹرانسپورٹ اور ہائی وے کے لئے وزیر خارجہ، شپنگ، کیمیکل اور کھاد مسٹر منشوخ منویایا نے کہا کہ شہریوں کے فائدے کے لئے نقل و حمل کے شعبے میں ایک بڑی پہلو ہے.
Here is why: Correct translation for given sentence. Input sentence means 'Minister of State for Central Road Transport and Highway, Shipping, Chemicals and Fertilizer Mr. Manasukh Mandavia said that there has been a large initiative in the transport sector for the benefit of citizens.' which is the same as the output sentence.
OK. solve this:
चालू वित्त वर्ष में जीएसटी संग्रह के रूझान का चार्ट
Answer: | جاری سال کے دوران مالگزاری کے رجحانات ظاہر کرنے والا چارٹ درج ذیل ہے: | 8 | NIv2 | task1053_pib_translation_hindi_urdu | fs_opt | [
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] |
Detailed Instructions: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Q: Category: MEDIEVAL TIMES
Clue: By the 12th century, the Chinese had harnessed magnetism & were using this device
A: | compass | 9 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
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Definition: You are given a paragraph (Passage), a question (Question) and two answer options (Option1 and Option2). Your task is to find the correct answer (and return the string of the correct option, not option1/2) for the given question from the given options and based on the given passage. Answer of the question can be found directly from the passage.
Input: Passage: A few years ago , I was applying for jobs . I found a job listing that seemed like it would be perfect for me . It matched the educational background that I had , the work experience that I had , and it seemed like it would be very worthwhile . And then , at the bottom of the last page , I found the oddest instruction : they wanted me to apply by fax ! By this point I was in my mid-twenties , and I had never sent a fax before . I called my father , who laughed at me over the phone . He had n't used it in years , but he was pretty sure it still worked and I was welcome to use it . I drove to his house and found the fax machine under a layer of papers in his office . Sure enough , it worked perfectly . Question: Who told him they had a fax machine? Option1: dad Option2: their mother
Output: | dad | 2 | NIv2 | task164_mcscript_question_answering_text | zs_opt | [
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
In this task you will be given a list of integers. You should find the maximum absolute difference between 2 integers in the list. The absolute difference is the absolute value of one integer subtracted by another. The output should be a single integer which is the largest possible absolute distance.
[73, 30, 71, 47, -65, 50, -90, -60]
Solution: 163
Why? The maximum absolute difference is 163 because '|-90 - 73| = 163' which is the maximum possible absolute difference. So this is a good example.
New input: [-22, 21, 66, 76, 22, 100]
Solution: | 122 | 0 | NIv2 | task1446_farthest_integers | fs_opt | [
-0.043731965124607086,
0.2859983444213867,
0.17632022500038147,
0.0661020502448082,
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Given the task definition and input, reply with output. 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.
Context Word: motivation.
| PersonX always had more motivation in life and achieving goals than PersonY, as _ was optimistic. | 5 | NIv2 | task032_winogrande_question_generation_person | zs_opt | [
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] |
Definition: 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.
Input: Comment: Leah:
Suck it up, buttercup.
And be courteous when you refer to PRESIDENT DONALD TRUMP.
Output: | Sexual-explicit | 2 | NIv2 | task323_jigsaw_classification_sexually_explicit | zs_opt | [
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] |
In this task, you are given a sentence from the research paper and your task is to classify the given sentence into the following categories: Background (Why is this problem important? What relevant works have been created before? What is still missing in the previous works? What are the high-level research questions? How might this help other research or researchers?), Purpose (What specific things do the researchers want to do? What specific knowledge do the researchers want to gain? What specific hypothesis do the researchers want to test?), Method (How did the researchers do the work or find what they sought? What are the procedures and steps of the research?), or Finding (What did the researchers find out? Did the proposed methods work? Did the thing behave as the researchers expected?).
Ectopic expression of sIFITM3 significantly inhibited non-enveloped foot-and-mouth disease virus ( FMDV ) infection in BHK-21 cells. | finding | 0 | NIv2 | task1163_coda19_section_classification | zs_opt | [
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] |
Detailed Instructions: Given an English language product review, determine if it is a Good Review or a Bad Review. A good review is one where the product's review has positive tone and Bad review is one where the tone of product's review is negative.
Problem:Great filter system... I don't know it the pump is louder than many pool filters...this model came witha little hose that holds up to 300 cubic feet.
Solution: | Good Review | 8 | NIv2 | task929_products_reviews_classification | zs_opt | [
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In this task, you're given an article and an answer. Your task is to generate the fill-in-the-blank question for this answer based on the given article. The blanks are always at the end of the question, and can be filled with more than one word or phrase.
Article: My nephew, Adam, turned 19 on Monday. He's a good kid and makes the whole family laugh. He wears his baseball cap backward, his shorts baggy and his T-shirts loose. In short, I hate the way he looks. To me, it seems as if everything is about to fall off at any moment. He makes me nervous. But he's still a teenager. I think that's the way he's supposed to look. Cooler than cool. I was on the Harvard campus recently and was surprised how almost everyone looked like Adam, just as they did on the Georgetown campus the week before with baggy shorts far below the knees. It's a uniform, of course, just as there was a uniform when I went to college. Fashion is a changeable thing. _ has made fools of us all over the years. In my college years, everyone wore frayed bell-bottoms, tie-dye shirts and hair to the shoulders. But I predict the "uniform" that's likely to cause the most shame for its wearers 30 years from now will be the exposed-tummy look brought to us by Britney Spears. I'll admit. Britney's exposed-mid-waist looks pretty good in those short jeans. Just a piece of skin. Firm, flat, brown. Unfortunately, the look has been picked up by young women from Malibu to Maine, young women who do not have Britney Spears' firm, flat, brown skin. As my mother has asked a thousand times: Don't these girls have mirrors?
Answer: clothing fashion | This passage is mainly about _ . | 0 | NIv2 | task649_race_blank_question_generation | zs_opt | [
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In this task, you will be shown a short story with a beginning, two potential middles, and an ending. Your job is to choose the middle statement that makes the story incoherent / implausible by indicating 1 or 2 in the output. If both sentences are plausible, pick the one that makes less sense.
Q: Beginning: Jane didn't like scary movies. Middle 1: Jane tried to watch the scary movie but was too frightened. Middle 2: Jane tried to watch the scary movie and enjoyed it a lot. Ending: Eventually her boyfriend decided to watch something else.
A: | 2 | 4 | NIv2 | task070_abductivenli_incorrect_classification | zs_opt | [
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] |
In this task, you are given a sentence in Persian, and your task is to translate it into English.
--------
Question: عزيز دردانه .
Answer: peat .
Question: محلي را انتخاب کردم که هرگز نرفته بودم .
Answer: i chose a place id never go to .
Question: به من 50 دلار قرض ميدي .
Answer: | let me borrow 50 bucks .
| 7 | NIv2 | task659_tep_fa_en_translation | fs_opt | [
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] |
The input contains a debate topic, an argument on the topic and a keypoint, separated by "<sep>". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.
[EX Q]: Topic: We should introduce compulsory voting<sep>Argument: Everyone should vote, and the only way to ensure that happens is by instituting compulsory voting.<sep>Keypoint: Compulsory voting will cause more people to become interested in politics
[EX A]: False
[EX Q]: Topic: We should fight urbanization<sep>Argument: Urbanization increases the growth of pollution and crime<sep>Keypoint: Urbanization causes crime
[EX A]: True
[EX Q]: Topic: We should abandon marriage<sep>Argument: Marriage is still a valuable part of our society<sep>Keypoint: Marriage is important for people, either generally or because of religious/traditional reasons
[EX A]: | True
| 6 | NIv2 | task1285_kpa_keypoint_matching | fs_opt | [
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Part 1. Definition
In this task, you're given a pair of sentences, sentence 1 and sentence 2, that neither agree with nor contradict each other. Your job is to alter sentence 2 so that the pair clearly agree with each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
Part 2. Example
Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping for fruit to give Jon.
Answer: Tom had gone into the store before he was seen by Jon.
Explanation: Tom must have gone into the store to come out of it.
Part 3. Exercise
Sentence 1: A man playing a guitar while standing in front of a microphone singing. Sentence 2: There is a man wearing cowboy boots playing an acoustic guitar and singing.
Answer: | A man is playing guitar and singing. | 7 | NIv2 | task188_snli_neutral_to_entailment_text_modification | fs_opt | [
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] |
Given a factoid/trivia type question, generate the topic of the question. The topic is the entity the question talks about.
Input: Consider Input: Name Shakespeare play Ariel, Miranda and Prospero appear?
Output: ariel
Input: Consider Input: Which cyclist won the first medal for Team GB at the 2012 Olympic Games?
Output: gb
Input: Consider Input: What is the name of the film director whose films include Bladerunner and Gladiator?
| Output: gladiator
| 2 | NIv2 | task899_freebase_qa_topic_generation | fs_opt | [
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Detailed Instructions: A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.
Q: آسٹریلیا میں 15 ویں بھارت آسٹریلیا مشترکہ وزارتی کمیشن کا انعقاد
A: | 15th India-Australia Joint Ministerial Commission held in Australia | 9 | NIv2 | task1058_pib_translation_urdu_english | zs_opt | [
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In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.
[EX Q]: Context_1 : 100 Deeds for Eddie McDowd is an American television sitcom created by Steven H. Berman, Mitchel Katlin, and Nat Bernstein for Nickelodeon. The series ran for 3 seasons, from October 16, 1999 to April 21, 2002. Context_2 : The FBI Files is an American television docudrama series that originally ran from 1998 to 2006. It was carried by the Discovery Channel cable network and produced by New Dominion Pictures of Suffolk, Virginia. The show was cancelled by the Discovery Channel in 2006; however, Escape (TV network), Discovery Channel and its sister network, Investigation Discovery, air re-runs, although until October 2012, Investigation Discovery only showed episodes from seasons 5,6, and 7. As of October 2012, the network now airs episodes from the earlier seasons (although not necessarily in chronological order), with updated information about the cases at the end of most episodes. Up to late September 2012, WE tv showed episodes from seasons 1-4, but the network had removed the episode introductions by Jim Kallstrom. In the UK on Channel 5, "The FBI Files" airs most Saturday nights before QuizCall. It has also been shown on TV Denmark, Discovery Australia and Netflix in Canada. All seven seasons have been released on DVD. Context_3 : Josquin Des Pres (Born Josquin Turenne Des Pres) is a 20th-century French born American composer, bassist, author, producer, songwriter and most known for his contributions to music media books for Hal Leonard Corporation and Mel Bay instructional music books. Josquin has written a vast library of compositions and music techniques on bass, music studies and various collections which are used by music teachers, private studies and in schools both nationally and internationally as a standard tool in the music industry. Des Pres is also a collaborative writer with English lyricist, poet, and singer Bernie Taupin on several compositions. Josquin Des Pres also writes musical scores and music trailers for more than 40 major TV networks and television shows including The Ellen DeGeneres Show, The Bachelor (U.S. TV series), American Idol, The Tyra Banks Show, George Lopez (TV series), Anderson Cooper, TMZ on TV, Extra (TV program), American Chopper, Pawn Stars, Deadliest Catch, CNN, NBC, HGTV, TBS (U.S. TV channel), Bravo (U.S. TV network), Food Network, Animal Planet, Discovery Channel, History (U.S. TV channel), Travel Channel, CBS Television Stations, Viacom, VH1, ABC, BET, KPBS (TV), TLC (TV network), and The CW Network. His works are also known on MTV Networks Television Series Catfish, The Seven, When I Was Seventeen, MTV Cribs, Pimp My Ride, Teen Mom, True Life and 10 on Top. Context_4 : Vision TV Network is a TV network owned by Vision247 in the United Kingdom that allows access to a network of foreign TV channels from within the UK. Viewers have to subscribe online in order to watch the pay TV channels on Vision TV Network, which are delivered to Roku, Samsung, IOS and Android Apps. As an IPTV service, Vision TV Network also allows two-way interactivity to enable functionality such as voting, commerce and targeted advertising. The service initially broadcast French, Greek, Polish and Turkish channels. Context_5 : Bantatay is a drama-comedy-fantasy series from GMA Network featuring Raymart Santiago, Gelli de Belen, Jennica Garcia and Carl Guevarra. The show premiered on September 20, 2010 replacing Langit sa Piling Mo. The show also airs on GMA Pinoy TV worldwide which premiered two days later, September 22, 2010, from the original airdate. Due to high ratings, Bantatay initially extended its 10-week run by 3 weeks before finally being extended until February 25, 2011. The show was originally to be replaced by Alakdana but it was moved to the timeslot previously occupied by Ang Yaman ni Lola after Eat Bulaga!. Bantatay was inspired by the 1995 American Film "Fluke" as well as the hit the children's TV series, "100 Deeds for Eddie McDowd". Context_6 : Chutti TV is a 24-hour Tamil kids television channel from the Sun TV Network in India. The target audience are children aged between 3 and 14. It was launched on 29 April 2007, making it Sun TV Network's first ever television channel for kids. Context_7 : Patrick Darren Atkinson (born 22 May 1970 in Singapore) is an English former professional footballer. As a schoolboy he went to several clubs, Newcastle Utd, Sunderland, Notts County, and West Bromwich Albion where he shared digs with Alan Shearer. Paddy signed apprentice forms with Sheffield Utd in 1986 with Ian Portifield as manager. After 3 managers in 2 years (Ian Portifield, Billy McEwan, and Dave Bassett) Paddy went on loan to Hartlepool Utd and signed as a professional at 18 with John Bird as manager. He scored 2 goals on his debut Vs Lincoln City at the Victoria Ground in 1986. After 3 seasons making 30+ appearances and playing for a further 2 managers, Bob Moncur and Cyril Kowles, Paddy moved to Gateshead in the Conference. He scored Gateshead's 1st goal in the Conference league. Paddy moved to Barrow making 40+ appearances with Ray Wilkie as manager. Paddy moved to Workington for 2 seasons before a successful trial seen him move to Newcastle Utd. Paddy played in Newcastle Reserves Team scoring 12 goals in 3 seasons when Kevin Keegan was manager of the club. It was Kevin who recommended Paddy to the Singapore National Team and to York City in the 1st Division. Paddy Signed for York City making over 60 appearances in 3 seasons. Paddy moved on to Scarbrough in the 2nd Division and Mick Wadsworth was manager before moving and playing for Blyth Spartans while recovering from an operation. He moved north of the border playing for Queen of the South for 4 seasons in the Scottish 1st & 2nd Division. John Connelly was the manager and Paddy won a Second Division Championship and a Bells Scottish Cup. At 34 Paddy decided to take up his 1st coaching role and took Queen of the South's Reserve Team. In his first season, he won the Reserve League and Cup. Paddy later moved back home to the North East (Newcastle upon Tyne) and took on the Assistant Manager and 1st Team Coach's role at Newcastle Benfield in the Northern League. With Paul Baker as manager he won the League Cup. Paddy later took on the managers role with Tom wade and won the League, League Cup and Cleator Cup (4 trophies in 4 seasons). He then took on the 1st Team Coaches role at Bedlington Terriers before leaving in the summer of 2012 to take up a post at Blyth Spartans where he was assistant to Tommy Cassidy at the Northern Premier League side, before later a being appointed manager, a post he resigned from in 2013. On 9 January 2015 Paddy was appointed manager of Whitley Bay. Context_8 : Chithiram TV (Tamil: சித்திரம் தொலைக்காட்சி ) is a Tamil kids television channel from the Kalaignar TV Network in India.The target audience are children aged between 2 and 14. It was launched on 2010, making it Kalaignar TV Network's first ever television channel for kids. Context_9 : Mingle Media TV Network is a digital TV network offering scripted, unscripted, live and produced lifestyle, celebrity and entertainment programming seven days a week. Founded on 8 February 2010, the network is a leading producer of independent filmmaker content in the web TV series. Mingle Media TV Network publishes their content through its web syndication network, including iTunes, Blip.TV, YouTube, Facebook, Twitter, Blogs, DailyMotion, Roku, Boxee and via the Stickam.com mobile app. Context_10 : Scot Rubin is a talk show host, Producer, founder of All Games Productions, All Games Network and co-founder of the G4 television network. AllGames launched in 1996. In 2000 Rubin was hired as a consultant for Comcast to develop a 24-7 cable TV channel about video games. In 2001 he was hired by G4 Media and served as Vice President of Internet, IT and Program Editorial. He developed, produced and hosted the networks interactive talk show for 3 seasons. Rubin also served as a Producer on the first 3 seasons of the EA Sports Madden Challenge, and play by play guy for the first two Madden Challenge Finals. In 2004, G4 began abandoning its video game format, Rubin left and relaunched All Games Productions, a production company providing consulting and production services to the video game and entertainment industry. Rubin currently serves as the Senior Vice President of Digital Media for Big Door, located in Redondo Beach, California. Rubin is also the founder of NITROPOD, a frozen ice cream company. fact_1 : Bantatay was inspired by the 1995 American Film "Fluke" as well as the hit the children's TV series, "100 Deeds for Eddie McDowd". fact_2 : 100 Deeds for Eddie McDowd is an American television sitcom created by Steven H. Berman, Mitchel Katlin, and Nat Bernstein for Nickelodeon. Answer: Nickelodeon
[EX A]: Bantatay was inspired by the show that ran for 3 seasons on what kids TV network?
[EX Q]: Context_1 : Wincenty Gostkowski (March 29, 1807 – August 29, 1884) was a lawyer and associate of Antoni Patek and Adrien Philippe in the watchmaker Patek Philippe & Co. in Geneva, Switzerland. Context_2 : Antoni Norbert Patek (French: "Antoine Norbert de Patek" ; 14 June 1812 – 1 March 1877), was a Polish pioneer in watchmaking and a creator of Patek Philippe & Co., one of the most famous watchmaker companies. Context_3 : The Patek Philippe Henry Graves Supercomplication is one of the most complicated mechanical pocket watches ever created. The 18-karat gold watch was assembled by Patek Philippe and named after banker Henry Graves Jr who commissioned it out of his desire to outdo the Grande Complication pocketwatch of American automaker James Ward Packard. The two were both at the top of the watch collecting world, regularly commissioning innovative new timepieces. Context_4 : The Patek Philippe Calibre 89 is a commemorative pocket watch created in 1989, to celebrate the company's 150th anniversary. Declared by Patek Philippe as ""the most complicated watch in the world"", it has 33 complications, weighs 1.1 kg, exhibits 24 hands and has 1,728 components in total, including a thermometer, and a star chart. Made from 18 carat (75%) gold or Context_5 : The Gyromax is the trade name for an adjustable mass (or adjustable inertia) balance wheel used in Patek Philippe wristwatches. Instead of weight adjustment screws on the outside of the rim, as in traditional balances, the Gyromax has turnable weights recessed into the top of the rim. The advantages claimed for this design are that, without projecting weight screws, the diameter of the balance can be increased, giving it a larger moment of inertia, and that it has less air resistance. Context_6 : Audemars Piguet (AP) (] ) is a Swiss manufacturer of mechanical watches founded in 1875, and is one of the world's oldest watch manufacturers. The company is still owned by its founding families. The brand is considered to be one the best manufacturers of luxury watches and said to be a part of the 'Holy Trinity Of Watches' along with Patek Philippe and Vacheron Constantin. Context_7 : Patek Philippe & Co. is a Swiss watch manufacturer founded in 1851, located in Geneva and the Vallée de Joux. It designs and manufactures timepieces and movements, including some of the most complicated mechanical watches. It is considered by many experts and aficionados to be one of the most prestigious watch manufacturers. Context_8 : The Patek Philippe Calatrava is a line of dress watches built by Swiss watchmaker Patek Philippe, introduced in 1932. These watches are considered the flagship model of Patek Philippe. The first version of the Calatrava was launched in 1932, inspired by the Bauhaus principle. Context_9 : Jean Adrien Philippe (16 April 1815, La Bazoche-Gouet, Eure-et-Loir – 5 January 1894) was French horologist and cofounder of watchmaker Patek Philippe & Co. of Geneva, Switzerland. Context_10 : The Vacheron Constantin Reference 57260 is a single highly complicated mechanical pocket watch, featuring 57 complications. The watch was assembled by Vacheron Constantin and introduced in 2015. The company claims that it is the most complicated mechanical pocket watch ever created.—followed up by Patek Philippe Calibre 89 assembled in 1989 and featuring 33 complications. The Reference 57260 took eight years to assemble. The watch has 2826 parts and 31 hands, weighs 957 grams, and spans 98mm. fact_1 : Antoni Norbert Patek (French: "Antoine Norbert de Patek" ; 14 June 1812 – 1 March 1877), was a Polish pioneer in watchmaking and a creator of Patek Philippe & Co., one of the most famous watchmaker companies. fact_2 : Patek Philippe & Co. is a Swiss watch manufacturer founded in 1851, located in Geneva and the Vallée de Joux. Answer: 1851
[EX A]: Antoni Patek created Patek Philippe Co. in what year?
[EX Q]: Context_1 : Attack Squadron 44 (VA-44) was an attack squadron of the United States Navy. Originally established as Bombing Squadron VB-75 on 1 June 1945 it was redesignated Attack Squadron VA-3B on 15 November 1946, redesignated VA-44 on 1 September 1948 and disestablished on 8 June 1950. A second VA-44 was in service from 1 September 1950 until disestablishment on 1 May 1970. Context_2 : Attack Squadron 75 (VA-75) or ATKRON 75 was an attack squadron of the United States Navy that was active from World War II through the 1990s. Nicknamed the "Sunday Punchers," they were based out of Naval Air Station Oceana, Virginia. Originally established as Bombing Squadron EIGHTEEN (VB-18) on July 20, 1943, it was redesignated Attack Squadron VA-7A on 15 November 1946, redesignated Attack Squadron VA-74 on 27 July 1948, redesignated Attack Squadron VA-75 on 15 February 1950 and disestablished on February 28, 1997. They were the second squadron to be designated VA-75, the first VA-75 was disestablished on 30 November 1949. They were the first fleet squadron to operate the A-6 Intruder and the last unit to fly it in operational service. Context_3 : Electronic Attack Squadron 134 (VAQ-134), also known as the "Garudas", is a United States Navy EA-6B Prowler squadron based at Naval Air Station Whidbey Island. Context_4 : Attack Squadron 155 or VA-155 was an 'Attack Squadron of the U.S. Navy. It was established as Reserve Attack Squadron VA-71E in 1946, redesignated as VA-58A on 1 October 1948, and redesignated Reserve Composite Squadron VC-722 on 1 November 1949. The squadron was redesignated as VA-728 on 1 April 1950, and called to active duty on 1 February 1951. It was ultimately redesignated VA-155 on 4 February 1953, and disestablished on 30 September 1977. Its nickname was Silver Fox from the early 1960s onward. It was the second squadron to be named VA-155, the first VA-155 was disestablished on 30 November 1949, while a third VA-155 was established on 1 September 1987 and disestablished on 30 April 1993. Context_5 : The Douglas A-4 Skyhawk is a single seat subsonic carrier-capable attack aircraft developed for the United States Navy and United States Marine Corps in the early 1950s. The delta winged, single turbojet engined Skyhawk was designed and produced by Douglas Aircraft Company, and later by McDonnell Douglas. It was originally designated A4D under the U.S. Navy's pre-1962 designation system. Context_6 : Marine Fighter Attack Squadron 134 (VMFA-134) was a reserve F/A-18 Hornet squadron in the United States Marine Corps. Known as "Smoke", the squadron was based at Marine Corps Air Station Miramar, California and fell under Marine Aircraft Group 46 (MAG-46) and the 4th Marine Aircraft Wing (4th MAW). On April 1, 2007 the squadron was transitioned to cadre status and its gear and personnel were redistributed throughout the remaining F/A-18 Hornet squadrons. Context_7 : Attack Squadron 134 or VA-134 was a short-lived attack squadron of the U.S. Navy, nicknamed the "Scorpions". It was established on 21 August 1961 and disestablished a year later, on 1 October 1962. It was based at NAS Cecil Field and flew A4D-2 "Skyhawk" aircraft. It was the second squadron to be designated as VA-134, the first VA-134 was redesignated VF-174 on 15 February 1950. Context_8 : Attack Squadron 135 or VA-135 was a short-lived Attack Squadron of the U.S. Navy, nicknamed the "Thunderbirds". It was established on 21 August 1961 and disestablished a year later, on 1 October 1962. It was based at NAS Jacksonville, and for a short time in 1962 at NAS Cecil Field. The squadron flew the AD-6 "Skyraider" aircraft. It was the second squadron to be designated as VA-135, the first VA-135 was disestablished on 30 September 1949. Context_9 : VPB-134 was a Patrol Bombing Squadron of the U.S. Navy. The squadron was established as Bombing Squadron 134 (VB-134) on 29 March 1943, redesignated Patrol Bombing Squadron 134 (VPB-134) on 1 October 1944 and disestablished on 25 April 1945. Context_10 : Attack Squadron 36 (VA-36), nicknamed the "Roadrunners", was an Attack Squadron of the U.S. Navy. The squadron was established on 6 March 1987 at NAS Oceana, Virginia, where it was based during its entire life. It flew the A-6E "Intruder" until it was disestablished on 1 April 1994. It was the second squadron to be designated VA-36, the first VA-36 was disestablished on 1 August 1970. fact_1 : It was established on 21 August 1961 and disestablished a year later, on 1 October 1962. fact_2 : The delta winged, single turbojet engined Skyhawk was designed and produced by Douglas Aircraft Company, and later by McDonnell Douglas. Answer: Douglas Aircraft Company
[EX A]: | Who produced the aircraft that Attack Squadron 134 flew?
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In this task, you're given the title of a five-sentence story and the first four sentences. Your job is to write the last sentence of the story to not connect with the rest of the story. Ensure that the generated sentence is contextually relevant to the story.
[Q]: Title: Car Accident. Sentence 1: The Smiths were stopped at a red light. Sentence 2: All of a sudden, a car came at them going 35 mph and hit them head on. Sentence 3: Witnesses rushed to the car to see if anyone was hurt. Sentence 4: Shelia Smith needed help out of the car because she broke her ankle.
[A]: Susan was glad that she decided to get the surgery.
[Q]: Title: Gross lollipop. Sentence 1: I went to buy a lollipop yesterday. Sentence 2: It was large and swirly. Sentence 3: I thought it looked beautiful. Sentence 4: However it tasted horrible.
[A]: He ate it grudgingly, but still wished for cereal!
[Q]: Title: The Lighthouse. Sentence 1: The kids were walking along the beach. Sentence 2: They saw a lighthouse in the distance. Sentence 3: It was tall and beautiful. Sentence 4: They walked until they reached it.
[A]: | After the first practice, Mindy began to wonder what she had done!
| 5 | NIv2 | task215_rocstories_incorrect_answer_generation | fs_opt | [
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] |
We would like you to classify each of the following sets of argument pairs (discussing Gay Marriage) into either SIMILAR or NOT SIMILAR. A pair of arguments is considered SIMILAR if the arguments are about the same FACET (making the same argument), and is considered NOT SIMILAR if they do not have the same FACET. A FACET is a low level issue that often reoccurs in many arguments in support of the author's stance or in attacking the other author's position.
Example Input: Sent1: If you consider sexual deviancy as normal then you can consider gay sex as normal.
Sent2: How would you like it if same sex marriage was normal and you weren't allowed to marry the opposite gender even though you truly love them.
Example Output: Not similar
Example Input: Sent1: If you listen to people talking about the benefits of marriage upon society (Note, DIFFERENT from the benefits the government gives married couples)...
Sent2: Remember that people who are not straight currently get married just for the benefits, and people who do not love each other currently get married just for the benefits.
Example Output: Not similar
Example Input: Sent1: The fact is that homosexuals have the same right to marry that straights have.
Sent2: It is my sincere feeling that short of redifineing marriage that all gays should have the same benefits afforded married straight couples........
Example Output: | Not similar
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] |
You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to classify the conversation either convey 'No emotion' or 'Happiness' by providing '1' and '0', respectively.
Ex Input:
Person1: Are things still going badly with your houseguest ?
Person2: Getting worse . Now he ’ s eating me out of house and home . I ’ Ve tried talking to him but it all goes in one ear and out the other . He makes himself at home , which is fine . But what really gets me is that yesterday he walked into the living room in the raw and I had company over ! That was the last straw .
Person1: Leo , I really think you ’ re beating around the bush with this guy . I know he used to be your best friend in college , but I really think it ’ s time to lay down the law .
Person2: You ’ re right . Everything is probably going to come to a head tonight . I ’ ll keep you informed .
Ex Output:
0
Ex Input:
Person1: I've been standing here since half past seven . Where on earth have you been ?
Person2: I'm terribly sorry I'm late . I just couldn't help it .
Person1: It's really very easy saying you're sorry .
Person2: Look , just give me a chance . I can explain it .
Ex Output:
0
Ex Input:
Person1: Would you show me some table-cloths ?
Person2: Certainly . ( Take a table-cloth to her )
Person1: How much is it ?
Person2: A table-cloth of this size and style is 15 Yuan .
Person1: That ’ s reasonable .
Person2: If you take good care of it , it will last you quite a number of years .
Person1: Really ? I ’ ll take it then .
Ex Output:
| 1
| 1 | NIv2 | task1536_daily_dialog_happiness_classification | fs_opt | [
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] |
You will be given a sentence containing a pronoun/person name and an emotion. From these implicit parameters, the main goal is to find the gender of the person (male / female).
[Q]: I made Nichelle feel disappointed.
[A]: female
[Q]: The situation makes my girlfriend feel scared.
[A]: female
[Q]: My husband found himself in a funny situation.
[A]: | male
| 5 | NIv2 | task1336_peixian_equity_evaluation_corpus_gender_classifier | fs_opt | [
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] |
You will be given a definition of a task first, then some input of the task.
You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.
فهم فريق تدريس. ويطورون مدرسيهم باستمرار.
Output: | They're team teaching. They're constantly improving their teachers. | 1 | NIv2 | task1230_ted_translation_ar_en | zs_opt | [
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] |
Instructions: In this task, you are given a short passage that may convey stereotype, anti-stereotype, or is unrelated. A stereotype is an over-generalized belief about a particular group of people. An anti-stereotype is an idea that goes against a common stereotype. The passage is unrelated if it does not convey a stereotype or anti-stereotype. You are expected to classify the passage into three classes: stereotype, anti-stereotype, and unrelated.
Input: Passage: I am taking classes to learn Japanese. People grow up to fear things that scared them during childhood.
Output: | Unrelated | 3 | NIv2 | task279_stereoset_classification_stereotype | zs_opt | [
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] |
Q: In this task you are given a list of integers and you need to find the absolute value of the difference between each two consecutive values. The output should be a list of the absolute value of the differences of each two consecutive values.
[-67, 17, 37, 72]
A: | [84, 20, 35] | 7 | NIv2 | task125_conala_pair_differences | zs_opt | [
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] |
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
--------
Question: ['4981', 't', '5817', 'o', '1131', 'N', 'D', 'R', '6693', '9951', '3859', '2249', 'E', 'D', 'h', 'Y', '7907', '9931', '9713', '1819', 's', 't', '5407', '9967', '1889']
Answer: 11
Question: ['5657', 'M', '6605', '3503', '8145', '4467', 'g', '8241', '8739', 'g', 'x', 'L', 'E', '4039', '2647', '1923', 'M', '611', 'v', '8203', 'o', 'j', '551', '5291', 'L']
Answer: 11
Question: ['I', 'n', '1139', '2459', '1507']
Answer: | 2
| 7 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
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] |
Definition: 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.
Input: Passage: Lucy Harmon, a nineteen-year-old American, is the daughter of well-known (now deceased) poet and model, Sara Harmon. The film opens as Lucy arrives for a vacation at the Tuscan villa of Sara's old friends, Ian and Diana Grayson (played by Donal McCann and Cusack, respectively). Other guests include a prominent New York art gallery owner, an Italian advice columnist and an English writer, Alex Parrish, who is dying of an unspecified disease. Lucy goes for a swim, and finds that Diana's daughter from a previous marriage, Miranda Fox, is also there with her boyfriend, entertainment lawyer Richard Reed. Miranda's brother, Christopher, is supposed to be there, but he is off on a road trip with the Italian son of a neighboring villa, Niccoló Donati. Lucy was particularly hoping to see Niccoló, whom she had met on a previous visit to the villa, four years earlier, and who was the first boy she'd ever kissed. Lucy and Niccoló had briefly exchanged letters after this first visit. One letter in particular Lucy had admired so much she memorized it.
Lucy reveals to the gallerist that she is there to have her portrait made by Ian, who is a sculptor. She says it's really just an excuse for her father to send her to Italy, "as a present." Smoking marijuana with Parrish, Lucy reveals that she is a virgin. When Parrish shares this information with the rest of the villa the next day, Lucy is furious and decides to cut her visit short. While she is on the telephone booking a flight to New York, however, Christopher and Niccoló return from their road trip, and Lucy is once again happy, although she is disappointed that Niccoló did not immediately recognize her.
Question: Whose friend did the poet's daughter meet during a previous visit?
Output: | Christopher. | 2 | NIv2 | task002_quoref_answer_generation | zs_opt | [
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You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Input: Consider Input: Przepychała się wraz z matką przez tłum, krzycząc: "" Ratuj moje dziecko! "", i przekazała go komuś w oknie.
Output: او به یاد می آورد که با مادرش ، در جلوی جمعیت تلاش می کرد جمعیتی که همه می گفتند کودک مرا بگیرید ، کودک مرا بگیرید و او موفق شده بود فرزندانش را طریق پنجره به یک نفر بدهد.
Input: Consider Input: Jako liderka organizacji pozarządowej poświęcałam większość energii na przekonywanie ludzi o możliwościach osób niepełnosprawnych.
Output: در زمان فعالیت در انجا به عنوان نماینده یک سازمان مردم نهاد ، انرژی زیادی صرف کردم تا بتونم مردم رو مجاب به درک استعداد های معلولین کنم
Input: Consider Input: Byłam tam w 2003.
| Output: من در سال ۲۰۰۳ آن جا بودم.
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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: Le crépuscule du Dieu . Cet enregistrement des années 70 marque incontestablement le crépuscule du génie que fut Karajan, avabnt sa satannée ère numérique. Le geste n'est pas encore machinal, on le sent vibrant et alerte. La philharmonie de Berlin langoureuse, véhémente scintille de mille feux et se pare d'une aura exceptionnelle, elle nous plonge dans un monde sombre, terrifiant, ses silences nous font frémir. Les tonmeister de la DG la capte en largueur et en profondeur et nous font "voir" une image sonore exceptionnelle, qu'originals a, comme ce fut le cas souvent, remasterisé avec un rare talent.
Example solution: POS
Example explanation: The overall sentiment of the review is positive as the reviewer refers to the music piece with positive expressions such as 'vibrant', 'une image sonore exceptionnelle' etc.. Hence, the label is 'POS'.
Problem: avril24!!!!!!!! . quand j'ai acheté le CD c'était juste car on m'en avait beaucoup parlé(copine télé radio)pour tout vous dire je n'était pas vraiment sur que tout l'album allé me plaire mais en réalité je le trouve génial avril déchire grave elle est naturelle est vu que j'adore le pop le rock evidemment j'ai adoré "let go"d' avril lavigne mais je trouve que 4 sur 5 c'est la bonne note !!5 sur 5 c'est trop car les chansons ne son pas assez différente je m'en sui vite lassé donc j'attent de voir comment et son prochain album!!!!bisous a tout le monde et vive le rock!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
| Solution: POS | 5 | NIv2 | task484_cls_french_music_classification | fs_opt | [
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] |
Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Swedish language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).
Problem:The aid system must effectively be continued beyond 2002.
Solution: | Stödsystemet bör finnas kvar efter år 2002. | 8 | NIv2 | task313_europarl_en_sv_translation | zs_opt | [
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You are given a sentence in Polish. Your job is to translate the Polish sentence into Farsi.
Q: Gdyby to był horror ludzie w kinie szeptaliby: "" Nie idź tam. Nie idź tam "". (Śmiech) Oczywiście w cieniu był krokodyl.
A: | اگر این فیلم سینمایی ترسناکی بود ، مردم به تماشاگران می گفتند "" به دیدن این فیلم نرو. به دیدن این فیلم نرو. "" (خنده تماشاگران) و البته تمساحی در سایه بود. | 4 | NIv2 | task1263_ted_translation_pl_fa | zs_opt | [
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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.
[EX Q]: Dan Allen ผู้แทนของ DeLay บอกกับผู้สื่อข่าวว่า "ความเป็นผู้นำของสมาชิกวุฒิสภา DeLay ที่สร้างและเพิ่มความเข้มแข็งให้แก่เสียงส่วนใหญ่ของสภาเป็นเหตุผลที่ทำให้เขาตกเป็นเป้าโดยกลุ่มอิสระที่ได้รับการสนับสนุนโดย George Soros"
[EX A]: ディレイの代理人であるダン・アレンは、「下院で多数派となって力を増した、ディレイ下院議員の効率的な指導力が、ジョージ・ソロスが資金提供している自由主義のグループの標的になっている本当の理由だ」と記者団に語った。
[EX Q]: นาง Clinton มิได้เรียกร้องสิ่งตอบแทนจากการสนับสนุนนาย Obama แต่ในทางกลับกันนาย Obama ได้แสดงท่าทีขอบคุณแคมเปญของนาง Clinton ซึ่งกำลังเป็นหนี้
[EX A]: クリントン女史はオバマ氏支持に対する見返りは要求していないが、代わりにオバマ氏は多額の負債を抱えるクリントン女史の選挙戦に援助する態度を示すことでバランスを取った。
[EX Q]: ขณะที่ยอดผู้เสียชีวิตหรือคาดว่าเสียชีวิตแล้วสูงถึง 130 คน
[EX A]: | そうしている間に、死亡または死亡したと思われる犠牲者は130人に達した。
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In this task, you are given product reviews about dvds. The goal is to classify the review as "POS" if the overall sentiment of the review is positive(the reviewer is satisfied) or as "NEG" if the overall sentiment of the review is negative(the reviewer is not satisfied).
Ex Input:
Never! . The last song in it was not written by Rodgers and Hart. It was I think written by Roger Edens (of Judy Garland fame?), and is a mediocre imitation of Hartesque rhymes, at least in its feverish attempt at multiple rhymes at the start. Several of the songs from the stage show were left out, as were all the verses. Extra lyrics (not by Hart) were added to "The Most Beautiful Girl In The World" for Durante to sing and Martha's Raye's "The Circus Is On Parade." Songs from other R&H shows were interpolated. Did someone high up like god know better than R&H what songs should be in a R&H show? Finally, and absolutely humiliating for Martha Raye and I suspect Doris Day had a hand in it but maybe not, the line sung by Doris "Two feet are ever cold" is followed by Martha Raye with "Four feet are never cold" which in turn is followed by an embarrassed flustered "I only mean to imply" by Raye. Goodness. She said something wrong. I am beginning to dislike Doris Day intensely. She disgusts me. The title of this shocking little song is "Why Can't I?" also not from the original show and with much excised. The story (such as it is) is a predictable drag. The DVD is cheap on Amazon (until you add postage), it's a flat $20 everywhere else + tax. If you must, buy it from Amazon. I wouldn't take it for free. This is truly wholesome family entertainment, and that's about as nauseous a recommendation as I can give it. If you like Rodgers and Hart, forget it. Durante was in the original on stage. I gave it 2 stars for the pretty tunes (and almost Roger Edens').
Ex Output:
NEG
Ex Input:
It's all about Halle Berry... . A very good film, Swordfish, brings to the screen the story of hacker who is hired by the underworld to break a bank code resulting in the release of millions of dollars. Hugh Jackman, Halle Berry (who is GORGEOUS!), John Travolta and the rest of the cast, carry out their performances very well. The highlight of the movie has to be Halle Berry's nude scene at the pool. In short, the setting, the plot, the dialogues and the music are all wonderful! Swordfish is a movie definitely worth watching, as it will surely provide for an evening's entertainment!
Ex Output:
POS
Ex Input:
This Sequel Is Not So Bad. It Is Only Unnecessary. . What it this? Disney's original animated film `The Jungle Book' was made in 1967, and after almost 40 years they released a sequel `The Jungle Book 2.' What is the point of doing this anyway? To be fair, the sequel is not a horrible film. It has more colors (more light colors in the jungle) and comes with the original's exhilarating `Bare Necessities.' Who can dislike this song? And the introductory part using stick puppets is cleverly done, letting us into the world of the wild child Mowgli and his friends. But after that, about 10 minutes or so, the film suddenly starts to look not-so-ambitious attempt to re-tell the story of the original, which should have been ended 40 years ago. In this sequel Mowgli, who is fed up with the rules of the village, goes back to the jungle where his friend big bear Baloo is living and dancing to that charming song alone. Now Baloo is happy to meet the boy again for he is lonely and needs a partner to do the musical number. But we are not so happy. That is partly because their reunion virtually ignores the original film's conclusion, and partly because we know the same story has just begun again. The difference between the 1967 version and this one is that Shanti also steps into the jungle with a little boy Ranjan, but this slight difference means little to us because both of them are quite unmemorable. After all, the problem is not the fact that the story of `The Jungle Book 2' in fact retreads that of the original because few people would still remember the details of the film made 40 years ago. The real drawback is that in `JB2' nothing interesting happens except the last 10 minutes where the bad tiger tries to kill Mowgli. The film provides musical scenes (which are decent themselves), but they only stretch the thin story. Even though I love the song Bare Necessities, I don't want to listen to it three times in a short film that only runs 72 minutes. To me (I am living in Japan) the most shocking thing about the film is that like the so-so film `Return to Neverland' `The Jungle Book 2' was originally made for video, and then was chosen for theatrical release in USA and UK. That they can do such a thing is as unaccountable as the company's choice of the material for the sequel
Ex Output:
| NEG
| 1 | NIv2 | task477_cls_english_dvd_classification | fs_opt | [
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] |
The input is a sentence. The sentence includes an emotion. The goal of the task is to classify the emotion in the sentence to one of the classes: 'fear', 'joy', 'anger', 'sadness'. The emotion mainly depends on the adverb within the sentence.
The situation makes my son feel fearful.
fear
Torrance told us all about the recent terrifying events.
fear
The conversation with her was threatening.
| fear
| 0 | NIv2 | task1338_peixian_equity_evaluation_corpus_sentiment_classifier | fs_opt | [
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] |
Detailed Instructions: In this task, you're given a pair of sentences, sentence 1 and sentence 2, that agree with each other. Your job is to alter sentence 2 so that the pair neither agree nor contradict each other. Generated sentences must be short, with less than 15 words. New information can be introduced. Avoid using pronouns to confuse the subject of the sentence.
See one example below:
Problem: Sentence 1: Jon saw his friend Tom coming out of the grocery store with a bag of fruit. Sentence 2: Tom had been shopping in the store.
Solution: Tom had been shopping for fruit to give Jon.
Explanation: The given sentence is a good alteration. If the changed sentence was something like: "Tom had been sleeping in his house in that time", it'd contradict the first sentence. But this given sentence neither agrees with the first sentence, nor contradicts it.
Problem: Sentence 1: three little girls one is eating a watermelon and a adult woman reading to them on the grass. Sentence 2: Three girls are eating watermelon while a woman is reading to them.
Solution: | Three girls are eating watermelon while a woman is reading to them and a man is taking a picture of them. | 4 | NIv2 | task184_snli_entailment_to_neutral_text_modification | fs_opt | [
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] |
You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.
Q: חלק מהנורמות שלי, יותר בוטות.
A: | برخی از معصیت های من شنیع ترند. | 4 | NIv2 | task1113_ted_translation_he_fa | zs_opt | [
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In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
Slide in that hoe DM's like 🏂🏂🏂 | No | 0 | NIv2 | task608_sbic_sexual_offense_binary_classification | zs_opt | [
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] |
Detailed Instructions: Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact
Q: Igbo sentence: Onye na-Kraịst bụ ndị kasị ewu ewu ihe na-na ọha mmadụ na ụbọchị ndị a, ma ọ n'ezie bụ ihe kasị mkpa.
A: | Being a Christian is not the most popular thing to be in society these days, but it surely is the most vital. | 9 | NIv2 | task449_opus_paracrawl_ig_en_translation | zs_opt | [
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Teacher:Given a part of privacy policy text, classify it into one of these categories:
(1) First Party Collection/Use (how and why a service provider collects user information),
(2) Third Party Sharing/Collection (how user information may be shared with or collected by third parties),
(3) User Choice/Control (choices and control options available to users),
(4) User Access, Edit, & Deletion (if and how users may access, edit, or delete their information),
(5) Data Retention (how long user information is stored),
(6) Data Security (how user information is protected),
(7) Policy Change (if and how users will be informed about changes to the privacy policy).
Teacher: Now, understand the problem? Solve this instance: The site collects your computer information for an unspecified purpose. Collection happens when you implicitly provide information by an unnamed service or third party.
Student: | First Party Collection/Use | 6 | NIv2 | task682_online_privacy_policy_text_classification | zs_opt | [
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] |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.
全て肋骨の間から行うのです
Solution: Wszystko jest robione pomiędzy żebrami.
Why? The Japanese sentence is correctly translated into Polish, because the meaning is preserved.
New input: まず黄色で示した「海馬」ここは記憶を司る器官です
Solution: | Zaczniemy od hipokampu, w kolorze żółtym, który jest organem pamięci. | 0 | NIv2 | task1097_ted_translation_ja_pl | fs_opt | [
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Q: This task is about translating a given Yoruba language sentence to English.
Ọdún yìí ló pé ọdún márùndínlọ́gbọ̀n (25) tí ìpẹ̀yàrun yẹn wáyé, ọpọ̀ èèyàn ló ń ronú jinlẹ̀ nípa ìpẹ̀yàrun tó ṣẹlẹ̀ náà, pàápàá jùlọ àwọn tó là á já.
A: | For many, especially survivors, the 25th anniversary of the genocide is a time of deep reflection. | 7 | NIv2 | task1686_menyo20k_translation | zs_opt | [
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] |
Given the task definition, example input & output, solve the new input case.
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.
Example: Head: chicken<sep>Tail: lay eggs
Output: Yes
This is a good example. The Head is capable of the Tail.
New input case for you: Head: PersonX acts like a man<sep>Tail: becomes highly regarded
Output: | No | 1 | NIv2 | task1215_atomic_classification_capableof | fs_opt | [
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] |
You are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.
Input: Consider Input: Eses tipos de estrés teñen un efecto moi característico na fisioloxía do estrés.
Output: Questi tipi di stress hanno un particolare effetto sulla fisiologia dello stress.
Input: Consider Input: En realidade, foi retirada da revista Lancet, onde se publicou, e ao autor, un médico, quitáronlle a licenza médica.
Output: È stata infatti ritrattata dalla rivista Lancet, in cui era stata pubblicata, e l'autore, un medico, è stato radiato dall'albo.
Input: Consider Input: Ides ver, que en só dúas semanas, os vermes normais son vellos.
| Output: Vedere come, in appena due settimane, i vermi comuni siano invecchiati.
| 2 | NIv2 | task1243_ted_translation_gl_it | fs_opt | [
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Detailed Instructions: In this task your given a passage and a question in Catalan, you must answer the question based on the passage. The answer to the question can be extracted directly from the passage. The question will have a single correct answer. The answer will be a continuous span of text from the given passage. The correct answer will be short; it will not be more than a few words.
Problem:Passage: Britten i Pears van llegir el poema de Crabbe i van quedar colpits. Ambdós van tenir un paper rellevant en l'esbós inicial de la història, i en aquest procés el personatge de Grimes va esdevenir cada vegada més complex. En lloc de l'evident malvat que és a l'obra de Crabbe, va anar adquirint el seu caràcter de víctima del destí i dels convencionalismes socials, tot i conservar els més foscos aspectes de la seva personalitat.[6] És el públic qui ha de decidir quina de les dues versions s'aproxima més a la realitat, i avaluar l'ambigüitat o la netedat de caràcter de cada personatge.[7]
Question: Què van llegir Britten i Pears?
Solution: | el poema de Crabbe | 8 | NIv2 | task837_viquiquad_answer_generation | zs_opt | [
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You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are provided with an "Event" and it's "Intent" related to PersonX. Determine the sentiment value of the given input as either "Positive", "Negative", and "Unknown".
Event:PersonX treats PersonY's ___ well. Intent: 1) to leave a good impression over person y by doing everything perfectly well
Solution: Positive
Why? In the input PersonX treats PersonY's in a good way. He fells calm and pleased by the work he has done. This refers to a "Positive" reaction.
New input: Event:PersonX snatches ___ away. Intent: 1) to stay healthy
Solution: | Negative | 0 | NIv2 | task923_event2mind_classifier | fs_opt | [
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Detailed Instructions: Translate from Hindi to English such that it preserves the original meaning Perform complete translation (partially translated sentences are considered incorrect).
Q: बैठ जाओ.
A: | - It was. Sit down. | 9 | NIv2 | task1323_open_subtitles_hi_en_translation | zs_opt | [
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You will be given a definition of a task first, then some input of the task.
In this task, you will be presented with a question, a word, and a POS tag. You have to determine whether the part-of-speech tag of the given word in the question is equal to the given POS tag or not. Give your answer with True or False. 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
Where are the headquarters of the program that was originally hosted by ?
, Word: of
, POS tag: IN
Output: | True | 1 | NIv2 | task346_hybridqa_classification | zs_opt | [
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Teacher:In this task you are given a tweet. You must judge whether the author of the tweet is happy or not. Label the instances as "Happy" or "Not happy" based on your judgment.
Teacher: Now, understand the problem? Solve this instance: Sometimes we create our own heartbreaks through expectations. When #love prevails, fear departs. Learn to be grateful for our moments. Quiet
Student: | Happy | 6 | NIv2 | task398_semeval_2018_task1_tweet_joy_detection | zs_opt | [
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Teacher: In this task, you're given a statement, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.
Teacher: Now, understand the problem? If you are still confused, see the following example:
Context: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. Link Information: Operation Market Garden was a failed World War II military operation fought in the Netherlands from 17 to 25 September 1944. Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin?
Solution: from 17 to 25 September 1944
Reason: The context describes the 704th's actions during Operation Market Garden, and the answer specifies when the operation happened.
Now, solve this instance: Context: In 1989 therefore Pat McGrath of Loughmore Castleiney was the captain during the National Hurling League Link Information: Pat McGrath (born 1961) Question: How old was Pat McGrath when he was the captain during the National Hurling League?
Student: | Answer: 28 | 2 | NIv2 | task237_iirc_answer_from_subtext_answer_generation | fs_opt | [
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] |
In this task, you are given a sentence and a gender. The sentence mentions two professions: one's gender is unknown and the other's gender can be identified using the gendered pronouns that refer to them in the text. You are expected to return the profession with the given gender.
Example input: Sentence: The carpenter helped the housekeeper to fix the window as she knew nothing about those tools.
Gender: female
Example output: Housekeeper
Example explanation: The housekeeper is a female because of the pronoun "she".
Q: Sentence: The housekeeper was paid by the analyst and did his housework.
Gender: male
A: | Analyst | 3 | NIv2 | task342_winomt_classification_profession_pro | fs_opt | [
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In this task, you're given a short article. Your job is to classify the article based on its category. Use the following classification labels, 0. World, 1. Sports, 2. Business, 3. Science or Technical. Label the text "0" if it contains information related to world. Label the text "1" if it contains information related to sports. Label the text "2" if it contains information related business. Label the text "3" if it contains science or technical related information.
Skilling seeking to move trial out of Texas HOUSTON An attorney for former Enron chief executive Jeffrey Skilling filed a motion today seeking to have his trial moved from Houston. | 2 | 0 | NIv2 | task1541_agnews_classification | zs_opt | [
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In this task, you are given a text from a social media post. Your task is to classify the given post into two categories: 1) yes if the given post is sexually offensive, 2) no, otherwise. Emphasis on sexually offensive or any lewd reference. Generate label 'no' for offensive posts that do not reference sexually explicit content. Warning: the examples and instances may contain offensive language.
Input: Consider Input: Brady heard yall say he was washed, now he washing the league on you hoe ass niggas.
Output: No
Input: Consider Input: "@KeyshawnSwag: Lmfao this cat started beating the shit out of me" my nigga finally got some pussy?!? MY NIGGA!!!
Output: Yes
Input: Consider Input: RT @_visionaryJ: Sellin' my soul for material wishes , fast cars & bitches
| Output: No
| 2 | NIv2 | task608_sbic_sexual_offense_binary_classification | fs_opt | [
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Teacher:You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.
Teacher: Now, understand the problem? Solve this instance: כשההורים שלי קנו לאחותי ולי את הנינטנדו הראשון שלנו, איזושהי תכונה פנימית ממכרת שההנאה האלקטרונית האינטראקטיבית הראשונית הזו הכילה, השתלטה עלי במהרה.
Student: | When my parents bought my sister and I our first Nintendo, whatever inherent addictive quality this early interactive electronic entertainment possessed quickly took hold of me. | 6 | NIv2 | task1234_ted_translation_he_en | zs_opt | [
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In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.
One example: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage 1: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,
. Passage 2: John Ford (1894–1973) was an American film director whose career spanned from 1913 to 1971. During this time he directed more than 140 films. Born in Maine, Ford entered the filmmaking industry shortly after graduating from high school with the help of his older brother, Francis Ford, who had established himself as a leading man and director for Universal Studios. After working as an actor, assistant director, stuntman, and prop man – often for his brother – Universal gave Ford the opportunity to direct in 1917. Initially working in short films, he quickly moved into features, largely with Harry Carey as his star. In 1920 Ford left Universal and began working for the Fox Film Corporation. During the next ten years he directed more than 30 films, including the westerns The Iron Horse (1924) and 3 Bad Men (1926), both starring George O'Brien, the war drama Four Sons and the Irish romantic drama Hangman's House (both 1928 and both starring Victor McLaglen). In the same year of these last two films, Ford directed his first all-talking film, the short Napoleon's Barber. The following year he directed his first all-talking feature, The Black Watch.
. Passage 3: Since the late 1970s, the central part of NYU is its Washington Square campus in the heart of Greenwich Village. Despite being public property, and expanding the Fifth Avenue axis into Washington Square Park, the Washington Square Arch is the unofficial symbol of NYU. Until 2008, NYU's commencement ceremony was held in Washington Square Park. However, due to space constraints, ceremonies are now held at the Yankee Stadium. Important facilities at Washington Square are the Elmer Holmes Bobst Library, designed by Philip Johnson and Richard Foster, who also designed several other structures, such as Tisch Hall, Meyer Hall, and the Hagop Kevorkian Center. When designing these buildings Johnson and Foster also set up a master plan for a complete redesign of the NYU Washington Square campus. However, it was never implemented. Other historic buildings include the Silver Center (formerly known as "Main building"); the Brown Building of Science; Judson Hall, which houses the King Juan Carlos I of Spain Center; Vanderbilt Hall, the historic townhouse row on Washington Square North; The Grey Art Gallery at 100 Washington Square East, housing the New York University art collection and featuring museum quality exhibitions; the Kaufman Management Center; and the Torch Club – the NYU dining and club facility for alumni, faculty, and administrators. Just a block south of Washington Square is NYU's Washington Square Village, housing graduate students and junior and senior faculty residences in the Silver Towers, designed by I. M. Pei, where an enlargement of Picasso's sculpture Bust of Sylvette (1934) is displayed.
.
Solution is here: 1
Explanation: The question refers to the 704th unit and task about war which is decribed by Passage 1.
Now, solve this: Question: What age was Dud Dudley when a patent was granted to him? Passage 1:The first production of tinplate was probably in Bohemia, from where the trade spread to Saxony, and was well-established there by the 1660s. Andrew Yarranton and Ambrose Crowley (a Stourbridge blacksmith and father of the more famous Sir Ambrose) visited Dresden in 1667 and found out how it was made. In doing so, they were sponsored by various local ironmasters and people connected with the project to make the river Stour navigable. In Saxony, the plates were forged, but when they conducted experiments on their return to England, they tried rolling the iron. This led to the ironmasters Philip Foley and Joshua Newborough (two of the sponsors) in 1670 erecting a new mill, Wolverley Lower Mill (or forge). This contained three shops, one being a slitting mill (which would serve as a rolling mill), and the others were forges. In 1678 one of these was making frying pans and the other drawing out blooms made in finery forges elsewhere. It is likely that the intention was to roll the plates and then finish them under a hammer, but the plan was frustrated by one William Chamberlaine renewing a patent granted to him and Dud Dudley in 1662.
Passage 2:Suffolk County had long been a Republican bastion in New York State. U.S. Congressman Rick Lazio, who opposed Hillary Clinton in the 2000 Senate race, was from Suffolk County. However, recent elections have turned the county more toward the Democrats. In 2003, Democrat Steve Levy was elected county executive, ending longtime Republican control. In 2001, Democrat Thomas Spota was elected District Attorney, and ran unopposed in 2005. Although Suffolk voters gave George H. W. Bush a victory here in 1992, the county voted for Bill Clinton in 1996 and continued the trend by giving Al Gore an 11-percent victory in the county in 2000. 2004 Democratic candidate John Kerry won by a much smaller margin of one percent, in 2008 Democratic candidate Barack Obama won by a slightly larger 4.4 percent margin, 52%-47%. In 2016, Republican candidate Donald Trump won Suffolk County by a 6.9 percent margin after absentees, marking the largest margin of victory for the Republicans since 1988. It was the only large county (over 200,000 voters) in New York State that Donald Trump won.
Passage 3:Greek letter organizations (GLOs) first appeared at the university in 1847 when two men visiting from Yale University installed a chapter of Delta Kappa Epsilon. When DKE members began holding secret meetings in the old state capitol building that year, the administration strongly voiced its disapproval. Over a few more decades, 7 other fraternities appeared at UA: Alpha Delta Phi in 1850, Phi Gamma Delta in 1855, Sigma Alpha Epsilon in 1856 (this was the founding chapter), Kappa Sigma in 1867, Sigma Nu in 1874, Sigma Chi in 1876, and Phi Delta Theta in 1877. Anti-fraternity laws were imposed that year, but were lifted in the 1890s. Women at the university founded the Zeta chapter of Kappa Delta sorority in 1903. Alpha Delta Pi soon followed.
Solution: | 1 | 6 | NIv2 | task230_iirc_passage_classification | fs_opt | [
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The goal of this task is to translate questions in English into Catalan. The requirements of the translation is that: the text must be equivalent in meaning, the text must not be ambiguous, and the text must be written as a question
Input: Consider Input: What was Tesla's reputation in popular culture?
Output: Quina era la reputació de Tesla en la cultura popular?
Input: Consider Input: When did the partnership between Tesla, Lane and Vail form?
Output: Quan es va formar l’associació entre Tesla, Lane i Vail?
Input: Consider Input: What colors was the 2001 ABC logo?
| Output: Quin és el sobrenom del logotip de l’ABC des de la campanya del 2000?
| 2 | NIv2 | task1677_xquad-ca_translation | fs_opt | [
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In this task, you're given a sentence and your task is to generate a simplified sentence that focuses on lexical paraphrasing from the original sentence given in the input.
Example input: a georgian inscription around the drum attests his name.
Example output: there is a georgian inscription around the drum to confirm his name.
Example explanation: The sentences clearly paraphrased correctly and simplified the original sentence which described the Georgian inscription get his name attests which was around the drum.
Q: cameron 's wife noble also starred in the film series , playing hattie durham.
A: | cameron 's wife nobile also acted in the film set , playing hattie durham. | 3 | NIv2 | task934_turk_simplification | fs_opt | [
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] |
Instructions: 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.
Input: Anh có thể mua vé ở bến tàu.
Output: | Anh có thể mua tem ở bưu điện. | 3 | NIv2 | task411_mickey_vi_sentence_perturbation_generation | zs_opt | [
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The task is about translation from Telugu to English. While performing the translation you must preserve the original meaning. Do not include any words which are only limited to your native place.
Example input: అనేకవింతపురాణములు భారతదేశం యొక్క ఈ అరణ్య యొక్క చెప్పబడ్డాయి, కానీమోగ్లీఅనేచిన్నబాలుడుకథ కాబట్టి వింత
Example output: Many strange legends are told of these jungles of India, but none so strange as the story of a small boy named Mowgli.
Example explanation: The translation is precise, fluent and formal
Q: నాకు పరిశీలించండి.
A: | Take a look at me. | 3 | NIv2 | task1324_open_subtitles_te_en_translation | fs_opt | [
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] |
Detailed Instructions: Given a sequence of actions to navigate an agent in its environment, provide the correct command in a limited form of natural language that matches the sequence of actions when executed. Commands are lowercase and encapsulate the logic of the sequence of actions. Actions are individual steps that serve as the building blocks for a command. There are only six actions: 'I_LOOK', 'I_WALK', 'I_RUN', 'I_JUMP', 'I_TURN_LEFT', and 'I_TURN_RIGHT'. These actions respectively align with the commands 'look', 'walk', 'run', 'jump', 'turn left', and 'turn right'. For commands, 'left' and 'right' are used to denote the direction of an action. opposite turns the agent backward in the specified direction. The word 'around' makes the agent execute an action while turning around in the specified direction. The word 'and' means to execute the next scope of the command following the previous scope of the command. The word 'after' signifies to execute the previous scope of the command following the next scope of the command. The words 'twice' and 'thrice' trigger repetition of a command that they scope over two times or three times, respectively. Actions and commands do not have quotations in the input and output.
Q: I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_LEFT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP I_TURN_RIGHT I_JUMP
A: | jump around left twice and jump right thrice | 9 | NIv2 | task129_scan_long_text_generation_action_command_short | zs_opt | [
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] |
Definition: In this task, you are given a sentence in English and your task is to translate it into Spanish. In translation, keep the numbers and capitalization (capitalize only the first word of each sentence and name).
Input: I have used chemical strategy as a good example of an area in which we need to do this.
Output: | He usado el ejemplo de la estrategia sobre sustancias químicas, sector que es un buen modelo de aplicación. | 2 | NIv2 | task530_europarl_en_es_translation | zs_opt | [
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You are given a sentence in Italian. Your job is to translate the Italian sentence into Japanese.
Example Input: Ci sarà sempre qualcosa da vedere.
Example Output: これ以上ないくらい見るものがあります
Example Input: Infatti, anche ora, parlando con la gente dell'argomento di questo intervento, ho inventato una storia di copertura e ho addirittura nascosto la verità sulla mia discorso TED.
Example Output: 事実今でさえそうですこの講演のテーマを人に聞かれると作り話までこしらえてこのTEDトークの真意を隠しさえしましたから
Example Input: Per testare Dylan gli somministriamo degli input, come ho detto, dello stesso tipo di quelli che riceverebbe un bimbo, o un ragazzo del Progetto Prakash.
Example Output: | ディランをテストするときにはプロジェクト・プラカシュで赤ちゃんや子供に与えるものと同じようなインプットを与えます
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Given a sentence in Dutch, generate a new Dutch 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.
Die een dutje doen bij AM. | Oh, neem me mee op vrije voeten. | 0 | NIv2 | task409_mickey_nl_sentence_perturbation_generation | zs_opt | [
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] |
Detailed Instructions: Given a sentence in English language, translate the sentence to Somali language keeping the meaning of the original sentence intact
Problem:English sentence: The phone number to call for emergency medical help is 911.
Solution: | lambarka telefoonka ayaa kaalmo u wacan caafimaad oo degdeg ah waa 911. | 8 | NIv2 | task446_opus_paracrawl_en_so_translation | zs_opt | [
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In mathematics, the absolute value of a number is the non-negative value of that number, without regarding its sign. For example, the absolute value of -2 is 2, and the absolute value of 5 is 5. In this task you will be given a list of numbers and you need to return the element with highest absolute value. If a negative and positive element have the same absolute value you should return the positive element. The absolute value for negative numbers can be found by multiplying them by -1. After finding the element with the maximum absolute value you should return the value of that element before you applied the absolute value.
[-73.763 -90.237]
-90.237
[-53.866 -70.447]
-70.447
[-63.948 41.045 59.068 46.321 97.24 -8.836]
| 97.24
| 0 | NIv2 | task095_conala_max_absolute_value | fs_opt | [
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-0.35804373025894165,
0.21355587244033813,
-0.3755583167076111,
-0.09885165840387344,
0.3260616660118103
] |
instruction:
In this task, you are given an input list. A list contains several comma-separated items written within brackets. You need to return the count of all the alphabetical elements in the given list. Return 0 if no alphabetical element in the list
question:
['j', '8025']
answer:
1
question:
['t', '4967', '1909', 'z', '2149', 'V', 'L', '9681', 'n']
answer:
5
question:
['y', 'q', '2287', '2057', '829', '6581', 'i', 'H', '8277', 'w', '1153', '4081', 'X', '4251', '2121', '5063', '2317', '2353', 'X', '2205', 'n', '3837', 'n', 'e', 'b', '1193', 'k', 'l', '1651', 'n', '9397']
answer:
| 14
| 9 | NIv2 | task504_count_all_alphabetical_elements_in_list | fs_opt | [
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] |
In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise sentence. Please answer with "Contradiction", "Neutral", or "Entailment".
Premise: Baseball<br>Sammy wanted to learn how to play baseball. He signed up for his school baseball team. He practiced everyday for a month. Bill finally had his first game. He hit a homerun! <sep> Hypothesis: Sammy is a fictional character | Neutral | 0 | NIv2 | task1387_anli_r3_entailment | zs_opt | [
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In this task, you're shown a three-part story, with a beginning, middle, and ending. Your job is to slightly modify the middle part, so that the whole story becomes unlikely, improbable, or inconsistent. Generated sentences must minimally alter the given middle, with at most 4 new words added/existing words removed. Your sentence should be grammatically and syntactically correct. Also stick to the context of the given story. For example, if the story talks about "doctors", you can talk about "health" or "diagnosis", but don't mention "aliens". Avoid introducing any extra/irrelevant information, and use names instead of pronouns (e.g. he / she) wherever possible. Avoid simply negating the original middle, for example: "She likes cakes." is changed to "She doesn't like cakes."
Q: Beginning: Hari decided to travel to Canada. Middle: Hari booked a hotel and a tour to see Canada. Ending: He had a wonderful time traveling in Canada!
A: | Hari booked a hotel and a tour only to get mugged in Canada. | 4 | NIv2 | task068_abductivenli_incorrect_answer_generation | zs_opt | [
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] |
Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer "hateful" or "Non-hateful". Note that the URLs in the text have been replaced with [Link].
Input: Post: Menos mal que el ínclito Marlasca nos ha abierto los ojos !! @marianorajoy TIENE LA CULPA DE LA INVASIÓN DE NEGRATAS !! Éstos Psoepodemitas no tienen arreglo !!! @sanchezcastejon DIMISIÓN YA !!!!!!!!!!!!!
Output: | Hateful | 3 | NIv2 | task334_hateeval_classification_hate_es | zs_opt | [
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Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.
Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]
Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]
Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]
Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].
Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]
Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]
Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number]
Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]
Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]
Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]
Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]
Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]
Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].
Problem:#1 return the right image
#2 return barrels in #1
#3 return #2 that are black
#4 return number of #3
#5 return if #4 is equal to one
Solution: | If the right image contains exactly one black barrel. | 8 | NIv2 | task184_break_generate_question | zs_opt | [
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In this task, you are given a sentence in the English language from the various articles. Your task is to translate the given English sentence into the Yoruba language. Please bear in mind the following guidelines while doing the translation: 1) Generated output should have natural language and formal form. 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. The output should 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. Keep them as they are in the translations. 4) Do not localize measurement units like miles to kilometers during your translation. 5) Note the input is in sentence case except for special placeholders. Do the same in your translations.
Example input: That is what?
Example output: Kí nìyẹn?
Example explanation: The English sentence is properly translated to the Yoruba language as both the sentences convey the same meaning and both the sentences are in sentence case and it includes punctuation marks as well.
Q: Brother Remy Pringle, a member of the Kenya Branch Committee, released the Bible on the first day of the convention.
A: | Arákùnrin Remy Pringle, tó jẹ́ ọ̀kan lára Ìgbìmọ̀ Ẹ̀ka lórílẹ̀-èdè Kẹ́ńyà ló mú Bíbélì yìí jáde lọ́jọ́ àkọ́kọ́ àpéjọ náà. | 3 | NIv2 | task1619_menyo20k-mt_en_yo_translation | fs_opt | [
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] |
Detailed Instructions: Given a document, an entity and its sentiment towards the entity, verify if it is the correct sentiment towards the entity. Answer should be yes or no. Note that URLs in the text have been replaced with [Link].
Problem:Verify if the sentiment of the following document towards the entity Ichiro Ozawa is Neutral . Political strongman Ozawa willing to face Japan ethics panel
"I think it would be a way to go if it helps the public understand the issue " Ozawa told reporters at a regular press briefing.
His move came as his ruling Democratic Party of Japan (DPJ) prepares for a tough summer election because of the funds scandal and the public's growing disappointment with Prime Minister Yukio Hatoyama.
Ozawa dubbed the "Shadow Shogun" and regarded as the real power behind Hatoyama was suspected of having played a role in manipulating the financial statements of his fund management body.
Three of his former and current aides were arrested in connection with the case. But prosecutors earlier decided not to file criminal charges against Ozawa due to lack of evidence.
He has pledged to stay on as the DPJ's secretary general despite growing public distrust in him.
Investigators met Ozawa during the weekend for a fresh round of questioning after a citizens' judicial review panel said they believed the veteran politician should be indicted.
Ozawa told the Monday press conference that nothing new had come up in his latest meeting with investigators.
He said he had agreed to open the traditionally closed-door session should he appear before the ethics panel "because I have not done anything wrong."
Ozawa's decision came as the Hatoyama government's approval rating continues to sink with elections for the upper house likely to be held in July.
Solution: | no | 8 | NIv2 | task423_persent_document_sentiment_verification | zs_opt | [
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Part 1. Definition
In this task you will be given a list of integers. You should remove any integer that is not prime. A prime integer is an integer that is only divisible by '1' and itself. The output should be the list of prime numbers in the input list. If there are no primes in the input list an empty list ("[]") should be returned.
Part 2. Example
[47, 444, 859, 530, 197, 409]
Answer: [47, 859, 197, 409]
Explanation: The integers '444' and '530' are not prime integers and they were removed from the list.
Part 3. Exercise
[715, 787, 209, 117, 601, 311, 333, 368, 15, 239, 47, 735, 241]
Answer: | [787, 601, 311, 239, 47, 241] | 7 | NIv2 | task366_synthetic_return_primes | fs_opt | [
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] |
Teacher: In this task, you are given inputs 'i', 'j', and A, where 'i' and 'j' are integers and A is a list. A list is shown by two brackets and comma-separated numbers and characters inside, like ['1', '12', 'l']. You need to concatenate all elements of A from the ith element to the jth element, and then reverse the resulting string. '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'. Perform the operations in order, i.e., do not reverse first and then concatenate.
Teacher: Now, understand the problem? If you are still confused, see the following example:
1, 3, ['238', 'h', '92', 'U', '2799']
Solution: 29h832
Reason: Here, concatenating all the elements between the 1st element and 3rd element and then reversing the string gives '29h832'.
Now, solve this instance: 1, 1, ['425', '5307']
Student: | 524 | 2 | NIv2 | task267_concatenate_and_reverse_all_elements_from_index_i_to_j | fs_opt | [
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] |
Detailed Instructions: In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.
See one example below:
Problem: এই জায়গা চমৎকার পরিবেশ ভালবাসা এবং আমার পছন্দের কিছু পেয়েছিলাম তাই এই আমার সবচেয়ে প্রস্তাবিত রেস্টুরেন্টে হচ্ছে
Solution: positive
Explanation: Here the reviewer seems to love the ambience of the restaurant, so this should be classified as positive.
Problem: পরিবার এর জন্য সবচেয়ে ভাল জায়গা আর খাবারের মানের পরিমাণ সবকিছু আরব মাস্টার জন্য ধন্যবাদ
Solution: | positive | 4 | NIv2 | task1496_bengali_reviews_sentiment_classification | fs_opt | [
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Craft one incorrect answer. In doing so, try to use words from the context as much as possible, or by using similar words used in the correct answer. DO NOT craft nonsensical or off-topic incorrect answers, such that the incorrect answers can be directly excluded without reasoning according to the context. Try to make your responses similar to the given correct answer. To this end, try to keep both the length and the style as similar as possible between the correct and the incorrect answer. To make your incorrect answers more difficult, try to incorporate words from context. To avoid being predictable or repetitive, try to add more variations and complexity.
Example: Context: I was told, in person over the phone, that my shoes were on their way. They have my money. I have no shoes.
Question: What may happen before I called them?
Correct answer: I found the money was charged but I have not got shoes.
Example solution: I found the shoes were still on the way after several days.
Example explanation: Excellent incorrect answer: as it includes topically relevant words while still being incorrect.
Problem: Context: I was able to move about and check what ever I wanted . I chose to stay with Ali and see how he managed his forces and see how he dealt with any issues that would pop up . It does n't matter what culture you are from , when people are bored and find themselves talking about anything that comes to mind . Ali and I began talking , of course through my translator , who himself had been in the Iraqi Army but now lived in Los Angeles back in the US .
Question: What may happen if my French translator was never in the Iraqi army and can speak only English as a foreign language ?
Correct Answer: We may try to find another translator .
| Solution: I may ask Ali about French troop movements in the area . | 5 | NIv2 | task025_cosmosqa_incorrect_answer_generation | fs_opt | [
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In this task, you are given an input list A. You need to extract and sort the unique digits used in the list in ascending order. Return -1 if there is no digit in the list.
Q: ['g', 't', '459', 'y', '455', '305']
A: | 0, 3, 4, 5, 9 | 4 | NIv2 | task637_extract_and_sort_unique_digits_in_a_list | zs_opt | [
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You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Hebrew.
"" Todos têm uma perspetiva válida. | לכל אחד בצוות יש נקודת מבט לגיטימית. | 0 | NIv2 | task1278_ted_translation_pt_he | zs_opt | [
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] |
You will be given a definition of a task first, then some input of the task.
You are given a question. You need to detect which category better describes the question. A question belongs to the description category if it asks about description and abstract concepts. Entity questions are about entities such as animals, colors, sports, etc. Abbreviation questions ask about abbreviations and expressions abbreviated. Questions regarding human beings, description of a person, and a group or organization of persons are categorized as Human. Quantity questions are asking about numeric values and Location questions ask about locations, cities, and countries. Answer with "Description", "Entity", "Abbreviation", "Person", "Quantity", and "Location".
What was the largest city in the world to declare martial law in 1989 ?
Output: | Location | 1 | NIv2 | task1289_trec_classification | zs_opt | [
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A text is given in Malayalam. Translate it from the Malayalam language to the Telugu language. The translation must not omit or add information to the original sentence.
Let me give you an example: iv) ఆధునిక సాంకేతిక పరిజ్ఞానంతో విత్తన ఉత్పత్తిలో అనుభవాల మార్పిడి;
The answer to this example can be: iv) വിപുലമായ സാങ്കേതികവിദ്യയുള്ള വിത്ത് ഉൽപാദനത്തിൽ അനുഭവങ്ങൾ കൈമാറ്റം;
Here is why: Correct translation for given sentence. Input sentence means 'iv) Exchange of experiences in seed production with advanced technology;' which is the same as the output sentence.
OK. solve this:
ఎక్సిమ్ బ్యాంకు లోకి మూలధనాన్ని చొప్పించడం వల్ల బ్యాంకు యొక్క మూలధన సామర్ధ్యం పెరిగేందుకు వీలవుతుంది;
Answer: | പണം ലഭ്യമാക്കുന്നത് ഇന്ത്യന് വസ്ത്രനിര്മാണ വ്യവസായത്തെ പിന്തുണയ്ക്കല്, ഇളവുകളോടെയുള്ള സാമ്പത്തിക സഹായ പദ്ധതി(സി. എഫ്. | 8 | NIv2 | task1050_pib_translation_telugu_malayalam | fs_opt | [
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Given the prompt and a response, classify the them to "yes" if response is "yes, and" type. Otherwise classify it as "no". "Yes, and" is a rule-of-thumb in improvisational comedy that suggests that a participant in a dialogue should accept what another participant has stated ("Yes") and then expand on that line of thought or context ("and..."). 1 In short, a "Yes, and" is a dialogue exchange in which a speaker responds by adding new information on top of the information/setting that was constructed by another speaker. Note that a "Yes, and" does not require someone explicitly saying 'yes, and...' as part of a dialogue exchange, although it could be the case if it agrees with the description above. There are many ways in which a response could implicitly/explicitly agree to the prompt without specifically saying 'yes, and...'.
Prompt: I feel like this couple from London is living our life.
Response: We're sitting here on the front row like a bunch of chumps. | yes | 0 | NIv2 | task361_spolin_yesand_prompt_response_classification | zs_opt | [
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] |
You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.
Ta siada przy Skype i ratuje sytuację.
היא עולה אליו בסקייפ, ומסדרת את הדברים.
Przynoszą nawet skarbowi państwa niewielki dochód.
הם עושים קצת כסף למשרד האוצר.
Ponieważ myślę, że potrzebujemy by Internet był tym czymś o czym marzyliśmy, że będzie.
| כי אני סבור שאנו באמת צריכים שהאינטרנט יהיה הדבר שכולנו חלמנו שהוא יהיה.
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A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.
[EX Q]: 99 lakh are reproductive animals. He said that there is a huge possibility of increasing productivity of Indigenous breeds in the country through commercial farm management and balanced nutrition.
[EX A]: ਕੇਂਦਰੀ ਖੇਤੀਬਾੜੀ ਅਤੇ ਕਿਸਾਨ ਭਲਾਈ ਮੰਤਰੀ ਸ਼੍ਰੀ ਰਾਧਾ ਮੋਹਨ ਸਿੰਘ ਨੇ ਕਿਹਾ ਕਿ ਭਾਰਤ ਦੁੱਧ ਉਤਪਾਦਕ ਦੇਸ਼ਾਂ ਵਿੱਚ ਮੋਹਰੀ ਵਜੋਂ ਉਭਰ ਰਿਹਾ ਹੈ ਅਤੇ ਦੇਸ਼ ਵਿਚ 2016-17 ਦੌਰਾਨ163.
[EX Q]: Text of PMs Speech on the occasion of the inauguration of Synthetic Track of the USHA School via video conferencing
[EX A]: ਵੀਡੀਓ ਕਾਨਫਰੰਸਿੰਗ ਰਾਹੀਂ ਉਸ਼ਾ ਸਕੂਲ ਵਿੱਚ ਸਿੰਥੈਟਿਕ ਟ੍ਰੈਕ ਦੇ ਉਦਘਾਟਨ ਮੌਕੇ ’ਤੇ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਜੀ ਦਾ ਭਾਸ਼ਣ
[EX Q]: Sushma Swaraj Ji as the External Affairs Minister in the last five years.
[EX A]: | ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਮੋਦੀ ਨੇ ਯਾਦ ਕੀਤਾ ਕਿ ਪਿਛਲੇ ਪੰਜ ਸਾਲਾਂ ਦੇ ਦੌਰਾਨ ਸ਼੍ਰੀਮਤੀ ਸੁਸ਼ਮਾ ਸਵਰਾਜ ਦੇ ਕਾਰਜਕਾਲ ਵਿੱਚ ਵੱਡੀ ਸੰਖਿਆ ਵਿੱਚ ਨਵੇਂ ਪਾਸਪੋਰਟ ਖੁਲ੍ਹੇ ।
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] |
Q: 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: Helen lived in the state of Washington. Sentence2: Helen wanted to visit Canada. Sentence3: Helen's car broke down on the day of her trip. Sentence4: Helen decided it wasn't meant to be.
Sentence5: Helen stayed home instead and planned to go another day.
A: | Yes | 7 | NIv2 | task298_storycloze_correct_end_classification | zs_opt | [
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Given the task definition and input, reply with output. In this task, you will be presented with a question in Dutch language, and you have to write the named entities from the question if present. B denotes the first item of a phrase and an I any non-initial word. Here is the list of terms used: person names (PER), organizations (ORG), locations (LOC) and miscellaneous names (MISC). There can be instances with no named entities, then return 'None'.
De gevelplaten zijn cognackleurige natuurstenen waarop zilverkleurige handjes zijn aangebracht , wat bij het zakken van de zon voor een aparte schittering moet zorgen .
| None | 5 | NIv2 | task1544_conll2002_named_entity_recognition_answer_generation | zs_opt | [
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This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.
One example is below.
Q: Passage: The French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Native American allies. At the start of the war, the French North American colonies had a population of roughly 60,000 European settlers, compared with 2 million in the British North American colonies. The outnumbered French particularly depended on the Indians. Long in conflict, the metropole nations declared war on each other in 1756, escalating the war from a regional affair into an intercontinental conflict. Question: When was the French and Indian War?
A: 1754-1763
Rationale: It is a common convention to write (start year-end year) beside a historical event to understand when the event happened. We can observe a similar notation from the passage to conclude that the French and Indian War happened during 1754–1763. Therefore, the answer is 1754–1763.
Q: Passage: Orthodox Judaism is the approach to religious Judaism which subscribes to a tradition of mass revelation and adheres to the interpretation and application of the laws and ethics of the Torah as legislated in the Talmudic texts by the Tanaim and Amoraim. These texts were subsequently developed and applied by later authorities, known as the Gaonim, Rishonim, and Acharonim. Orthodox Judaism generally includes Modern Orthodox Judaism (אורתודוקסיה מודרנית) and Ultra-Orthodox or Haredi Judaism (יהדות חרדית), but complete within is a wide range of philosophies. Although Orthodox Judaism would probably be considered the mainstream expression of Judaism prior to the 19th century, for some Orthodox Judaism is a modern self-identification that distinguishes it from traditional pre-modern Judaism. Question: what texts were legislated by the Tanarim and Amoraim?
A: | Talmudic | 9 | NIv2 | task075_squad1.1_answer_generation | fs_opt | [
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] |
Definition: You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.
Input: Category: WHERE IS IT?
Clue: The Eiffel Tower is one of the dramatic landmarks in this European capital city
Output: | paris | 2 | NIv2 | task308_jeopardy_answer_generation_all | zs_opt | [
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You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" This is why there's black people and niggers
Label: Hate Speech
Example output: true
Example explanation: The writer mentions emotions like hating so it is clearly a hate speech.
Q: Tweet: @ASAP_RocKI_ @HuhWhatsACondom *sighs* 1. Not a bitch. I'm a woman. LEARN THE DIFFERENCE. 2. I KNOW I'm fat. 3. It's called a scarf, dumbass.
Label: Neither
A: | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt | [
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] |
instruction:
Given a text, write a compressed version of it in a single sentence.
question:
Beyond the Esplanade you enter the first section of the Royal Mile, a narrow, cobbled street called Castlehill. On your left you will find the Edinburgh Old Town Weaving Company, where you can follow the journey of wool from the sheep to the finished product.
answer:
The Royal Mile, a narrow, cobbled street called Castlehill. On your left you will find the Edinburgh Old Town Weaving Company, where you can follow the journey of wool from the sheep to product.
question:
Warsaw doesn't have quite as appealing a cluster of bars in one pub-crawl-ready area, but the capital certainly has its share of watering holes and cafés.
answer:
Warsaw doesn't have a cluster of bars in one area, but the capital has its share of watering holes and cafés.
question:
There are trails to suit all ages and levels of fitness and experience, from a one-hour hike along a signposted valley path to multi-day expeditions along the John Muir Trail at Yosemite to Mount Whitney.
answer:
| There are trails to suit all ages and levels of fitness and experience, including a multi-day expeditions along the John Muir Trail.
| 9 | NIv2 | task1340_msr_text_compression_compression | fs_opt | [
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TASK DEFINITION: You are given a sentence in English. Your job is to translate the English sentence into Polish.
PROBLEM: And if not, can you make yourself smart again?
SOLUTION: Jeśli nie, to czy możesz odzyskać inteligencję?
PROBLEM: So the stuff that's in this picture that's white, that is the dark matter.
SOLUTION: Więc wszytko co na tym obrazie jest białe to ciemna materia.
PROBLEM: One story leads to another.
SOLUTION: | Jedna historia prowadzi do drugiej.
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Teacher:In this task, you are given an input list A. You need to convert all the alphabets in the list with a number representing their position in the English alphabet. E.g., replace A by 1, B by 2, a by 1, b by 2, and so on.
Teacher: Now, understand the problem? Solve this instance: ['s', '8995', 'o', 'i', 'i', '7659', 'K', '9807', 'r', '8103', '1141', '9329', '7725', '263', '9259', '2621']
Student: | 19, 8995, 15, 9, 9, 7659, 11, 9807, 18, 8103, 1141, 9329, 7725, 263, 9259, 2621 | 6 | NIv2 | task622_replace_alphabets_in_a_list_by_their_position_in_english_alphabet | zs_opt | [
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