Search is not available for this dataset
conversations
listlengths 2
2
|
|---|
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nIn 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.\nExample: Context_1 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. He is one of the first American composers of international renown, though his music was largely ignored during his life, and many of his works went unperformed for many years. Over time, he came to be regarded as an \"American original\". He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Context_2 : Daniel Evan Freeman (born 27 April 1959) is an American musicologist who specializes in European art music of the eighteenth century, in particular the musical culture of eighteenth-century Prague and the Bohemian lands. He is also active as a pianist and music editor. Context_3 : Art music (also known as Western classical music, cultivated music, serious music, canonic music, and more flippantly, real music or normal music) is an umbrella term that refers to musical traditions, implying advanced structural and theoretical considerations and a written musical tradition. \"Serious\" or \"cultivated\" music are terms frequently used as a contrast for ordinary, everyday music (popular and folk music, also called \"vernacular music\"). After the 20th century, art music was divided into two extensions: \"serious music\" and \"light music\". Context_4 : In the history of European art music, the term \"common practice period\" refers to the era between the formation and the dissolution of the tonal system. Though there are no exact dates for this phenomenon, most features of the common-practice period persisted from the mid to late baroque period, through the Classical and Romantic periods, or roughly from around 1650 to 1900. While certain prevailing patterns and conventions characterize the music of this period, the time period also saw considerable stylistic evolution. Some conventions evolved during this period that were rarely employed at other times during what may still be labeled \"common practice\" (for example, Sonata Form). Thus, the dates 1650–1900 are necessarily nebulous and arbitrary borders that depend on context. The most important unifying feature through this time period concerns a harmonic language to which modern music theorists can apply Roman numeral analysis. Context_5 : The Festival Oude Muziek Utrecht (\"Utrecht Early Music Festival\") is an annual music festival that showcases and celebrates early European art music. The ten-day festival takes place in the Dutch city of Utrecht, and begins in August. The programme comprises concerts, activities, lectures, exhibitions, and a symposium. Context_6 : Assaf Shelleg (Hebrew: אסף שלג ), is a musicologist and pianist, a senior lecturer of musicology at The Hebrew University of Jerusalem. He was previously the Schusterman Visiting Assistant Professor of Musicology and Jewish Studies in the Department of Religious Studies at the University of Virginia (2011–14), and had taught prior to that as the visiting Efroymson Scholar in the Jewish, Islamic & Near Eastern Languages and Cultures Department at Washington University in St. Louis (2009–11). Shelleg specializes in twentieth-century Jewish and Israeli art music and has published in some of the leading journals in both musicology and Israel Studies on topics ranging from the historiography of modern Jewish art music to the theological networks of Israeli art music. Shelleg's book, \"Jewish Contiguities and the Soundtrack of Israeli History\", appeared in November 2014 with Oxford University Press. The book studies the emergence of modern Jewish art music in central and Western Europe (1910s-1930s) and its translocation to Palestine/Israel (1930s-1970s), exposing the legacies of European antisemitism and religious Judaism in the making of Israeli art music. Moving to consider the dislocation of modern Jewish art music the book examines the paradoxes embedded in a Zionist national culture whose rhetoric negated its pasts, only to mask process of hybridizations enchained by older legacies. \"Jewish Contiguities\" has won the 2015 Engle Prize for the study of Hebrew Music, and the 2016 Jordan Schnitzer Book Award. Context_7 : Vocal harmony is a style of vocal music in which a consonant note or notes are simultaneously sung as a main melody in a predominantly homophonic texture. Vocal harmonies are used in many subgenres of European art music, including Classical choral music and opera and in the popular styles from many Western cultures ranging from folk songs and musical theater pieces to rock ballads. In the simplest style of vocal harmony, the main vocal melody is supported by a single backup vocal line, either at a pitch which is above or below the main vocal line, often in thirds or sixths which fit in with the chord progression used in the song. In more complex vocal harmony arrangements, different backup singers may sing two or even three other notes at the same time as each of the main melody notes, mostly with consonant, pleasing-sounding thirds, sixths, and fifths (although dissonant notes may be used as short passing notes). Context_8 : David Wallis Reeves (February 14, 1838 – March 8, 1900), also known as D. W. Reeves or Wally Reeves, was an American composer, cornetist, and bandleader. He developed the American march style, later made famous by the likes of John Philip Sousa, and his innovations include adding a countermelody to the American march form in 1876. Sousa called Reeves \"The Father of Band Music in America\", and stated he wished he himself had written Reeves' \"Second Regiment Connecticut National Guard March\". Charles Ives also borrowed from the \"Second Connecticut\" on four occasions. Context_9 : \"Indian classical music is one of many forms of art music that have their roots in particular regional cultures. For other \"classical\" and art music traditions, see List of classical and art music traditions.\" Context_10 : Progressive music is music that subverts genre and expands stylistic boundaries outwards. Rooted in the idea of a cultural alternative, musical progressiveness embodies a continuous move between explicit and implicit references to genres and strategies derived from various cultural domains, such as European art music, Celtic folk, West Indian, or African. The word \"progressive\" comes from the basic concept of \"progress\", which refers to development and growth by accumulation, and is often deployed in numerous music genres such as progressive country, progressive folk, progressive jazz, and (most significantly) progressive rock. fact_1 : Charles Ives also borrowed from the \"Second Connecticut\" on four occasions. fact_2 : Charles Edward Ives ( ; October 20, 1874May 19, 1954) was an American modernist composer. fact_3 : He combined the American popular and church-music traditions of his youth with European art music, and was among the first composers to engage in a systematic program of experimental music, with musical techniques including polytonality, polyrhythm, tone clusters, aleatory elements, and quarter tones, foreshadowing many musical innovations of the 20th century. Answer: 1874May\nOutput: What is the birthyear of the American composer that borrowed from \"Second Connecticut\" on four occasions and combined American popular and church-music traditions with European art music?\nFrom the fact_1 from context _8, and fact _2 and fact _3 from context _1, we can arrive at 1874 May which is accurate answer of generated question.\n\nNew input case for you: Context_1 : Lakshman Pinto Jayatilaka Senewiratne (born 9 March 1957) (known as \"Lakshman Senewiratne\") is a Sri Lankan politician, current State Minister of Science, Technology and Research and a member of the Parliament of Sri Lanka representing the Badulla District. and former Cabinet Minister of Sugar Industries, His father Capt. C. P. J. Senewiratne was a MP for Mahiyangana electorate and former Cabinet Minister of Labour in the government of J.R. Jayewardene. Context_2 : Kenneth Wilfred Baker, Baron Baker of Dorking, (born 3 November 1934) is a British politician, a former Conservative Member of Parliament and cabinet minister and a life member of the Tory Reform Group. Context_3 : Jonathan William Patrick Aitken (born 30 August 1942) is a former Conservative Member of Parliament in the United Kingdom (1974–97), and a former Cabinet minister. He was convicted of perjury in 1999 and received an 18-month prison sentence, of which he served seven months. He is currently president of Christian Solidarity Worldwide. Aitken was also a member of the Privy Council of the United Kingdom. Context_4 : Nilenthi Nimal Siripala de Silva MP (born 6 September 1944) is Sri Lanka's Cabinet Minister of Transprt in 15th Parliament of Sri Lanka. He is a member of the Sri Lanka Freedom Party and a Member of Parliament representing the Badulla District. He was also the former Leader of the Opposition, former Cabinet Minister (Irrigation and Water Resources Management), former Leader of the House. Context_5 : The Bossom Baronetcy, of Maidstone in the County of Kent, is a title in the Baronetage of the United Kingdom. It was created on 4 July 1953 for the architect and Conservative Member of Parliament for Maidstone, Alfred Bossom. In 1960 he was further honoured when he was created a life peer as Baron Bossom, \"of Maidstone in the County of Kent\". The life peerage became extinct on his death in 1965 while he was succeeded in the baronetcy by his second but only surviving son, the second holder of the baronetcy. He was a former Conservative Member of Parliament for Leominster. Context_6 : Mallawa Arachchige Gamini Jayawickrama Perera, MP, is a Sri Lankan politician and a member of the 15th Parliament of Sri Lanka representing Kurunegala. He is currently the Cabinet Minister of Sustainable Development and Wildlife and Minister of Buddha Sasana .He was the former Cabinet Minister of Food Protection.He was elected as the chairman of ESCAP (Economic and Social Commission for Asia and the Pacific)in April 2016.He was also the Chairman of United National Party (UNP) and the former Cabinet Minister for Irrigation and Water Management. Context_7 : The Boyle Baronetcy, of Ockham in Salehurst in the County of Sussex, is a title in the Baronetage of the United Kingdom. It was created on 14 December 1904 for Edward Boyle a barrister, businessman and Conservative Member of Parliament for Taunton. His grandson, the third Baronet, was also a Conservative Member of Parliament and ultimately cabinet minister serving as Minister of Education from 1962 to 1964. He was made a life peer as Baron Boyle of Handsworth, of Salehurst in the County of Sussex, in 1970 and became Vice-Chancellor of the University of Leeds in the same year. The life peerage became extinct on his death in 1981 and he was succeeded in the baronetcy by his younger brother, the fourth Baronet. As of 2010 the title is held by the latter's eldest son, the fifth Baronet, who succeeded in 1983. Context_8 : The Conservative Philosophy Group (CPG) was formed in the UK in 1974 by Sir Hugh Fraser, a Conservative MP, to provide an intellectual basis for conservatism at a time when the Conservative Party had just lost two general elections and elected a new leader, Margaret Thatcher. It was founded with four board members: Fraser, Roger Scruton, John Casey, and Jonathan Aitken MP. Context_9 : Sajith Premadasa (Sinhala : සජිත් ප්රේමදාස, Tamil : சஜித் பிரேமதாச) (born 12 January 1967) is a Sri Lankan politician, a working committee member, Deputy Leader of the United National Party (UNP), the government party of Sri Lanka and Member of Parliament for Hambantota District and was the former cabinet minister of samurudi affairs and a Deputy Minister of Health in Sri Lanka. He is the son of the martyred Ranasinghe Premadasa the former President of Sri Lanka. Premedasa was appointed as the Cabinet Minister of Housing and Samurdi by President Maithripala Sirisena on 13 January 2015. After the 2015 General Election victory of the United National Party Premadasa was appointed Minister for Housing and Construction. Context_10 : Major General John Edward Bernard Seely, 1st Baron Mottistone (31 May 1868 – 7 November 1947) was a British Army general and politician. He was a Conservative Member of Parliament (MP) from 1900 to 1904 and a Liberal MP from 1904 to 1922 and from 1923 to 1924. He was Secretary of State for War for the two years prior to the First World War, before being forced to resign as a result of the Curragh Incident. As General Jack Seely, he led one of the last great cavalry charges in history at the Battle of Moreuil Wood on his war horse Warrior in March 1918. Seely was a great friend of Winston Churchill and the only former cabinet minister to go to the front in 1914 and still be there four years later. fact_1 : The Conservative Philosophy Group (CPG) was formed in the UK in 1974 by Sir Hugh Fraser, a Conservative MP, to provide an intellectual basis for conservatism at a time when the Conservative Party had just lost two general elections and elected a new leader, Margaret Thatcher. fact_2 : It was founded with four board members: Fraser, Roger Scruton, John Casey, and Jonathan Aitken MP. fact_3 : Jonathan William Patrick Aitken (born 30 August 1942) is a former Conservative Member of Parliament in the United Kingdom (1974–97), and a former Cabinet minister. Answer: Jonathan Aitken\nOutput:"
},
{
"from": "gpt",
"value": "Which founding member of the Conservative Philosophy Group was a former Conservative Member of Parliament in the United Kingdom 1974–97, and a former Cabinet minister?"
}
] |
[
{
"from": "human",
"value": "This task is about translating a given Spanish language sentence to English.\n\nExample input: Leeuwenhoek y Huygens... ...fueron abuelos de la medicina moderna:\nExample output: Leeuwenhoek and Huygens... ...are the grandfathers of much of modern medicine.\nExample explanation: This is a good example because the Spanish sentence has been translated correctly to English.\nQ: Las tropas estadounidenses fueron enviadas para proteger los envíos de suministros, pero terminaron siendo arrastrados al conflicto, y después de la trágica batalla de Mogadishu, fueron retirados.\nA:"
},
{
"from": "gpt",
"value": "American troops were sent to protect the relief shipments, but they were eventually drawn into the conflict, and after the tragic battle in Mogadishu, they were withdrawn."
}
] |
[
{
"from": "human",
"value": "instruction:\nIn this task, you are given a sentence in Persian, and your task is to translate it into English.\nquestion:\nتو واقعا...\nanswer:\nyou're really...!\n\n\nquestion:\nآره . حتي مدارس کاتوليک را چون من اونجا رفتم مدرسه .\nanswer:\nyeah , well , even the catholic ones cause thats where i went to school .\n\n\nquestion:\nتب داره معده اش هم مشکل داره\nanswer:\n"
},
{
"from": "gpt",
"value": "he has rigor and fever, stomache for sides.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Italian.\nTeacher: Now, understand the problem? Solve this instance: Mas a raiva é como a gasolina. Se a espalharmos e alguém acende um fósforo, temos um inferno.\nStudent:"
},
{
"from": "gpt",
"value": "Ma la rabbia è come la benzina, e se la spargete in giro e qualcuno accende un fiammifero, vi trovate all'inferno."
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Polish.\nInput: מאוד פשוט.\nOutput:"
},
{
"from": "gpt",
"value": "Bardzo proste."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Persian, and your task is to translate it into English.\nQ: تب داره معده اش هم مشکل داره\nA: "
},
{
"from": "gpt",
"value": "he has rigor and fever, stomache for sides."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a sentence in English, and your task is to translate it into Persian.\nProblem:Trisha Baptie, writing for She Loves Magazine, calls on the public to pay equal attention to the plight of indigenous Canadian women:\nSolution:"
},
{
"from": "gpt",
"value": "تریشا بپتی، که برای She Loves Magazine مینویسد، از مردم درخواست کرده که به موقعیت بد زنان بومی کانادایی توجه کنند:"
}
] |
[
{
"from": "human",
"value": "Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.\nو در [ماجراى] ثمود [نیز عبرتى بود]، آنگاه که به ایشان گفته شد: «تا چندى برخوردار شوید.»\nA:"
},
{
"from": "gpt",
"value": "And in Thamud, when We said to them: \"Enjoy yourselves for a while;\""
}
] |
[
{
"from": "human",
"value": "Write a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: \"pesticides cause pollution\" (given fact) + \"pollution can harm animals\" (related fact) → \"pesticides can harm animals\" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.\nOne example is below.\nQ: Fact: pesticides cause pollution. \nTopic: pollution harms.\nA: pollution can harm animals.\nRationale: This is a good related fact as this forms a chain with the given fact i.e. \"pesticides causes pollution\" + \"pollution can harm animals\" = \"pesticides can harm animals\".\nQ: Fact: a rainbow is formed by refraction of light by separating light into all different colors. \nTopic: rainbow.\nA:"
},
{
"from": "gpt",
"value": "After the storm, a rainbow appears."
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nYou are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.\n\nシステムDは税金を払っていません\nOutput:"
},
{
"from": "gpt",
"value": "In tutto il System D non si pagano le tasse, giusto?"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Farsi.\nQ: 多様性は良いことですなぜなら人類は多様性があるものだと思っていても人類は絶滅の危機を迎えているのです人類はアフリカの１女性から始まりその結果 55匹のアフリカのチンパンジーの遺伝的多様性は 70億の人類よりも大きいのです\nA:"
},
{
"from": "gpt",
"value": "تنوع چیز بدی نیست ، چون گرچه فکر می کنیم انسانها خیلی متفاوت ومتنوع هستند ، ما خیلی نزدیک به انقراض بودیم که نسل همه ما از یک مادر آفریقایی ست و نتیجه اش اینکه تنوع ژنتیکی ۵۵ شامپانزه آفریقایی بیشتر از هفت میلیارد انسانه."
}
] |
[
{
"from": "human",
"value": "Definition: 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).\nInput: We would understand completely if you were not able to say anything else given the irresponsible attitude not only of the Commission, but also of this Parliament, and if you cannot do anything because there is no legal or financial framework for doing so.\nOutput:"
},
{
"from": "gpt",
"value": "Vi förstod mycket väl att ni inte kunde säga annat - inför den oansvariga attityd som inte endast är kommissionens utan också parlamentets - och att ni ingenting kan göra i brist på rättsliga och finansiella grunder."
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nYou are given a sentence in Galician. Your job is to translate the Galician sentence into Italian.\n\nSaben, se a compaixón é tan boa para nós, teño unha pregunta.\nOutput:"
},
{
"from": "gpt",
"value": "Sapete, se la compassione ci fa bene, ho una domanda."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Persian, and your task is to translate it into English.\nQ: در ۹۹ در صد موارد، زن از طریق شوهرش الوده شده بود چرا که شوهر رابطهای با غیر داشته مثلا با زن دیگر و حتی بعضی وقتها با مرد دیگری\nA: "
},
{
"from": "gpt",
"value": "In 99% of the cases, the woman was infected by her husband. A husband who had unprotected extra-marital relations, with other women and sometimes with other men."
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nYou are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.\nPart 2. Example\n地球が今よりも無垢だった時代を訪れたかのようでした\nAnswer: كان الأمر كزيارة أكثر عصور البراءة على كوكب الأرض\nExplanation: The Japanese sentence is correctly translated into Arabic, because the meaning is preserved.\nPart 3. Exercise\nおそらく、遊んでもよいという安心感もです\nAnswer:"
},
{
"from": "gpt",
"value": "أو الشعور بالأمان للّعب."
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen after that sentence. Is any of them directly caused by it, or is made possible by it? You should write your answer in the form \" A >causes/enables> B\". Try to use phrases and sentences from the story to compose your answer when possible. Do not change the main selected sentence in your answer.\n\nExample Input: story: I decided to wash my bed blankets today. I thought I could put everything in one load. That was not correct. When I went to get the clothes out of the washer there was a problem. The blankets weighed too much and it broke.\n selected sentence: I thought I could put everything in one load.\nExample Output: I think I can put everything in one load >Causes/Enables> I put everything in one load\n\nExample Input: story: My Father brought home 6 fishes. One fish for each of his children. My brother flushed mine down the toilet. So I threw his down the drain. Dad was so upset.\n selected sentence: My brother flushed mine down the toilet.\nExample Output: My brother flushes my fish down the toilet >Causes/Enables> I throw my brother's fish down the drain\n\nExample Input: story: Amy loved the movie Love Story. She had seen the movie 10 times, but still loved to watch. She smiled as she watched the story unfold. Amy braced herself as the end of the movie approached. Amy tried to control herself, but still cried when Jennifer died.\n selected sentence: Amy braced herself as the end of the movie approached.\nExample Output:"
},
{
"from": "gpt",
"value": "The end of the movie approaches >Causes/Enables> Amy cries\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a paragraph and question in Chinese, and your task is to generate the right answer for the given question from the passage. Construct an answer in such a way that (i) it is unambiguous, (ii) it is extracted from the passage, (iii) it is relevant to the question asked, and (iv) its answer is a continuous text span from the paragraph. \nProblem: passage : 是香港的监狱主题电影作品之一，也是前作《黑狱断肠歌之砌生猪肉》的后续作品。电影开头数分钟由1987年「香港十大杰出青年」陈慎芝和李兆基，讲解香港监狱制度的沿革和一些小故事。与前作一样，时间同设在以1960年代的香港，未有廉政公署，纪律部队贪污猖獗的时代。专帮黑社会小混混打官司的律师陈兆康，因袭警罪被判入狱九个月，其间结识了新入职的狱卒王志成，两人均对监狱的污烟瘴气、囚犯打架及狱卒庄Sir（下称食人鲳）、泰臣等滥用私刑事件看不过眼。阿成结识了阿康的姐姐和妹妹，并开始与康妹拍拖。另一方面，副狱长食人鲳垂涎康姐妹的美色，以康姐的床照要胁康姐听从他，又在康妹的汤中落春药，使食人鲳能迷奸她。康妹在被食人鲳强奸后上吊自杀身亡，阿成和阿康得悉消息后，义愤难平，而其他囚犯也因食人鲳以私刑把囚犯红孩儿打死的事感到气愤，决定发起一场骚乱，誓要把食人鲳杀死。在骚乱期间，成与康及其他囚犯把食人鲳迫进绞刑室，食人鲳最后被吊死在绞刑台上。事后阿成和阿康二人均被判无期徒刑。镇压监狱骚乱时，出动的水警轮「水警64」挂起香港特别行政区区旗，而非当时之香港旗。 , question : 黑狱断肠歌2是什么主题的电影？ \nSolution:"
},
{
"from": "gpt",
"value": "监狱"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nYou are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.\nPart 2. Example\nوقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.\nAnswer: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.\nExplanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.\nPart 3. Exercise\nأولا ، أخذنا القصة وقمنا بسردها بالعكس.\nAnswer:"
},
{
"from": "gpt",
"value": "اول ، ما داستان را برداشتیم و برعکس پخش کردیم."
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with \"Yes\" or \"No\".\nPROBLEM: Grande dame of cooking still going strong at 90: Julia Child celebrates in San Francisco. How does it feel to turn 90 and have attained the status of an icon, a living legend? \"It feels just like it felt before,\" Julia Child says with the throaty laugh familiar to millions who cut their culinary teeth on her \"French Chef\" television series. The show, along with her seminal book, \"Mastering the Art of French Cooking\" (1961), revolutionized the way America cooks and eats. While making light of the difference a day -- or another decade -- makes, Child intends to enjoy her birthday thoroughly. First, there will be all the public observances, including a sold-out dinner Thursday at San Francisco's tony Fifth Floor restaurant, which -- like dinners that night at 19 other venues across the country -- will benefit the scholarship fund of the International Association of Culinary Professionals (which Child co-founded). Friday to Sunday, the action moves to Napa, with both members-only and public events at COPIA: The American Center for Wine, Food and the Arts, of which she is an honorary board member. Aug. 15, her actual birthday, will see her in Maine at an annual gathering of nieces, nephews, their offspring and friends, who for many years have rolled a joined birthday celebration for several members of the group into a jolly reunion. The schedule Child and her assistant of 14 years, former pastry chef Stephanie Hersh, have laid out is not exactly a senior-citizen routine, even though Child has always been candid about her age and realistic in assessing her own capabilities. When the Pasadena native moved back to California from her long-time home in the Boston area last year, she also made the move from a condominium she and her late husband, Paul, had purchased many years ago to a progressive retirement home. She is in the most active of the four levels available, but should the need arise, she can move on to assisted living facilities within the same complex. <sep>Which show revolutionized the way America cooks and eats.<sep>French Chef\n\nSOLUTION: Yes\n\nPROBLEM: Also on Feb. 12, a week before the ice dancing finals, Tokhtakhounov told Anissina's mother in a telephone call that the Russian federation official \"had called me from America\" to assure that \"we are going to make\" Anissina \"an Olympic champion.\" He told her that the Russian skating federation official \"will help -- he has two or three judges.\" On or about March 7, in a conversation between Tokhtakhounov and Anissina, she said she would have won the event without his assistance because the Russian judge did not vote for her and her partner. She also apologized for not calling to thank him earlier, but that Gailhaguet had forbidden her. She told Tokhtakhounov that she knew the FBI had interviewed Gailhaguet because of information that Tokhtakhounov \"was involved with the results\" of the ice dancing. He assured her that it was nonsense, but that Gailhaguet \"knows my name very well -- he tried to help me, and later he made stuff up to scare you so you would not connect me to him even more.\" The conversations seem to indicate a familiarity between Tokhtakhounov and Anissina. Tass, the official Russian news agency, reported that Anissina attended a ceremony in 1999 at a Paris hotel honoring Tokhtakhounov for his philanthropy. That Russian organized crime may have infiltrated international sport at the Olympics stunned Phyllis Howard, president of the U.S. Figure Skating Association. \"This is a criminal act and it certainly puts things in a different league,\" Howard said. Lloyd Ward, chief executive officer of the U.S. Olympic Committee, said in a statement, \"Competitors from all nations must be assured that they compete on a level playing field.\" <sep>Who is going to help making Anissina \"an Olympic champion\"?<sep>Tokhtakhounov\n\nSOLUTION: Yes\n\nPROBLEM: In Colombia, the drug-financed guerrillas trying to seize the country and destroy democracy include M-19, which Castro has clearly backed. Robert Merkel, a former U.S. attorney handling drug indictments in Florida, doesn't think for a minute that Castro's much publicized trials of high officials engaged in the drug trade mean he has broken off with the Medellin drug cartel. \"If the cartel succeeds in blackmailing the Colombian authorities into negotiations, the cartel will be in control and Fidel can exploit his past relationships with them,\" he told the Journal's David Asman recently. The struggle against the drug lords in Colombia will be a near thing. This week, the government arrested Jose Abello Silva, said to be the fourth-ranking cartel leader. He will probably be extradited to the U.S. for trial under an extradition treaty President Virgilia Barco has revived. Later, another high-ranking trafficker, Leonidas Vargas, was arrested and 1,000 pounds of dynamite seized. Mr. Barco has refused U.S. troops or advisers but has accepted U.S. military aid. President Bush has agreed to meet within 90 days with Mr. Barco, President Alan Garcia of Peru and President Jaime Paz Zamora of Bolivia to discuss the drug problem. It might not be a bad idea to do that sooner, rather than later. After the Panama fiasco, they will need some reassurance. Certainly, the Colombian press is much in need of that. <sep>What is the Colombian press in need of?<sep>The Colombian press is much in need of that\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "Yes\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.\nTeacher: Now, understand the problem? Solve this instance: شعر «پروین اعتصامی» از نمونههای کدام نوع شعر است؟ <sep> (A) غنایی (B) تعلیمی (C) حماسی (D) داستانی\nStudent:"
},
{
"from": "gpt",
"value": "B"
}
] |
[
{
"from": "human",
"value": "In this task, you will be presented with a context from an academic paper and a question based on the context. You have to classify the questions into \"Extractive\", \"Abstractive\", or \"Yes-no\" questions. Extractive questions can be answered by concatenating extracts taken from a context into a summary while answering abstractive questions involves paraphrasing the context using novel sentences. Yes-no question is a question whose expected answer is one of two choices, one that affirms the question and one that denies the question. Typically, the choices are either yes or no.\n\nEx Input:\nOur visual model is based on fine-tuning an Inception V3 model BIBREF1 over visual renderings of documents, while our textual model is based on a hierarchical biLSTM. We further combine the two into a joint model. We applied neural network models to capture visual features given visual renderings of documents. Experimental results show that we achieve a 2.9% higher accuracy than state-of-the-art approaches based on textual features over Wikipedia, and performance competitive with or surpassing state-of-the-art approaches over arXiv. We further proposed a joint model, combining textual and visual representations, to predict the quality of a document. \n Question: What kind of model do they use?\n\nEx Output:\nExtractive\n\n\nEx Input:\nWhen compared with baselines that randomly choose one of the neighbors, or assume that the fact with the lowest score is incorrect, we see that outperforms both of these with a considerable gap, obtaining an accuracy of $42\\%$ and $55\\%$ in detecting errors. \n Question: Can this adversarial approach be used to directly improve model accuracy?\n\nEx Output:\nYes-no\n\n\nEx Input:\nFirst, it provides an annotation interface that allows users to define content elements, upload documents, and annotate documents Our platform is able to ingest documents in a variety of formats, including PDFs and Microsoft Word, and converts these formats into plain text before presenting them to the annotators. \n Question: What type of documents are supported by the annotation platform?\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Abstractive\n\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nQ: Head: PersonX buries the lead<sep>Tail: to publish his work\nA:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Q: 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].\nVerify if the sentiment of the following document towards the entity Susan Collins is Neutral . According to CNN members of the group met in GOP Sen. Susan Collins' office and passed a stick around to ensure there were no interruptions. Only the member holding the stick could speak.\nThe stick was relatively effective members told CNN but there was one incident in which a senator threw the stick at another member who was asking questions while the first spoke. The stick missed the mark and ended up damaging a glass elephant on Collins ' shelf.\nIn a statement after the Senate vote on the deal Collins applauded the work of the bipartisan group.\n\"Today we saw the power of the center in the US Senate \" Collins said. \"Joe [Manchin] and I worked very hard in leading the effort of the Common Sense Coalition â a group of 25 Republicans Democrats and Independent Angus King â which proposed the compromise to end the government shutdown.\"\nA:"
},
{
"from": "gpt",
"value": "yes"
}
] |
[
{
"from": "human",
"value": "Q: In this task you are given a list of triplets of the form [subject, predicate, object] and the output should be a question based on the triplets but with the subject and/or object replaced with blanks (represented using two or more consecutive underscores). Triplet values encompassed in [*] are special tokens that can be replaced with synonyms. The objective is to construct a question in a manner that (a) captures the facts specified in at least one of the triplets, and (b) ideally contains a limited number of blanks such that it is a well-formed question that is easy to answer. A blank can represent a single word or a phrase.\n[['The Golden Palace', 'eatType', 'coffee shop'], ['The Golden Palace', 'food', 'Japanese'], ['The Golden Palace', 'priceRange', 'more than £30'], ['The Golden Palace', 'area', 'city centre']]\nA:"
},
{
"from": "gpt",
"value": "An expensive Japanese coffee shop in city centre is called _____."
}
] |
[
{
"from": "human",
"value": "Teacher: In this task, you are given a sentence in Persian, and your task is to translate it into English.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\n۵۲٪ از کاربران رایانه دارای دانش رایانهای هستند.\nSolution: 52% of computer users are Internet literate.\nReason: This is a good example. The above sentence is correctly translated from Persian to English.\n\nNow, solve this instance: شهروند #مازندرانی: بخاطر #برف ۶ عدد آب معدنی کوچک ۳ هزار تومانی را خریدیم ۱۲ هزار تومان.\nStudent:"
},
{
"from": "gpt",
"value": "The price for bottled water rose four times during snowing days."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence from the Bible in Persian, and your task is to translate it into English.\n\nو اینک هفت گاو دیگر، بد صورت و لاغر گوشت، در عقب آنها از نهر برآمده، به پهلوی آن گاوان اول به کنار نهر ایستادند.\nAnd it came to pass at the end of two full years, that Pharaoh dreamed: and, behold, he stood by the river.\n\nو اکنون این مرتبه فقط گناه مرا عفو فرمایید، و از یهوه خدای خود استدعا نمایید تا این موت را فقط از من برطرف نماید.»\nAnd the locusts went up over all the land of Egypt, and rested in all the coasts of Egypt: very grievous were they; before them there were no such locusts as they, neither after them shall be such.\n\nو عناب و اشتموه و عانیم.\n"
},
{
"from": "gpt",
"value": "And Jiphtah, and Ashnah, and Nezib,\n\n"
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Italian. Your job is to translate the Italian sentence into Portugese.\nInput: E le preghiere si fecero più forti.\nOutput:"
},
{
"from": "gpt",
"value": "As orações ficaram mais altas."
}
] |
[
{
"from": "human",
"value": "Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Italian.\nInput: 「学校崩壊」というのがよく言われていますが\nOutput:"
},
{
"from": "gpt",
"value": "Va molto di moda dire che il sistema scolastico non funziona."
}
] |
[
{
"from": "human",
"value": "You are given an open-domain question from an open movie database. Your task is to provide an answer to that question. Try to only include the answer. Do not put it in a sentence.\n\nBéla Tarr was the director of which movies?"
},
{
"from": "gpt",
"value": "The Turin Horse, Werckmeister Harmonies, Damnation, The Man from London, The Prefab People"
}
] |
[
{
"from": "human",
"value": "In this task, you are given an abstract of article. Your task is to generate label \"True\" if abstract is structured, otherwise generate \"False\". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keeping your abstract focused on the main idea and creating a clear and concise image.\nQ: Inflammation is a fundamental protective response that sometimes goes awry and becomes a major cofactor in the pathogenesis of many chronic human diseases, including cancer. Here we review the evolutionary relationship and opposing functions of the transcription factor NF-κB in inflammation and cancer. Although it seems to fulfill a distinctly tumor-promoting role in many types of cancer, NF-κB has a confounding role in certain tumors. Understanding the activity and function of NF-κB in the context of tumorigenesis is critical for its successful taming, an important challenge for modern cancer biology.\nA: "
},
{
"from": "gpt",
"value": "False"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.\nQ: Aquí nadie nunca sería acusado o estaría familiarizado con Narciso.\nA:"
},
{
"from": "gpt",
"value": "در اینجا کسی متهم به نارسیس بودن و یا آشنایی با نارسیس نمی شود."
}
] |
[
{
"from": "human",
"value": "Q: 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.\nQuestion: How deep is the river SR 162 goes over? Passage 1:Empire Nightingale would appear to have crossed the Atlantic Ocean from the United States independently, as she does not appear as a member of a convoy until 27 June, when she departed Middlesbrough, Yorkshire as a member of Convoy EC 31. The convoy had departed from Southend, Essex the previous day and arrived at the Clyde on 1 July. She left the convoy at Oban, Argyllshire, departing on 3 July for Baltimore, Maryland, United States, which was reached on 22 July. Empire Nightingale departed Baltimore on 10 August for Halifax, Nova Scotia, Canada, arriving five days later. Carrying a cargo of steel, she departed on 21 August with Convoy HX 146, which arrived at Liverpool, Lancashire on 6 September. She left the convoy at Loch Ewe to join Convoy WN 177, which departed from Oban on 5 September and arrived at Methil, Fife on 8 September. Empire Nightingale then joined Convoy FS 589, which departed that day and arrived at Southend on 10 September. She left the convoy at Hull, Yorkshire on 10 September.\n Passage 2:SR 162 was codified as SSH 5E during the creation of the primary and secondary state highways in 1937, beginning at Primary State Highway 5 (PSH 5) and U.S. Route 410 in Puyallup, traveling through Orting and South Prairie to end at an intersection with a branch of PSH 5 southwest of Buckley. SSH 5E had a branch that traveled south from Orting to Electron that was removed from the state highway system in 1955. The highway traveled across the Puyallup River into Orting on the McMillin Bridge, which opened in 1934 as a concrete half-through truss bridge to save the Department of Highways a total of $826. SR 165 was established during the 1964 highway renumbering and was codified in 1970 as the replacement to SSH 5E. The western terminus, now at SR 410, was moved east to an interchange in Sumner after the completion of the Sumner Freeway in 1972. The McMillin Bridge was added to the National Register of Historic Places in 1982 as an example of a half-through truss bridge built with concrete instead of steel. The route of the highway has not seen a major revision since 1972; however, WSDOT repaved the roadway and added guardrails between Orting and Buckley in 2008. The deteriorating McMillin Bridge is being replaced by WSDOT with a newer, wider span over the Puyallup River scheduled to begin construction in 2014.\n Passage 3:In the early 2000s, DisneyToon Studios (DTS) joined Disney Consumer Products (DCP) as their internal Disney conglomerate video partner in developing the new Disney franchises. While DCP eyed other potential franchises, DisneyToon looked to the Seven Dwarfs for a male-centric franchise to counterbalance the female-centric Fairies. By 2005, The Seven Dwarfs computer-animated sequel to Snow White was officially underway. Paul and Gaëtan Brizzi was one team that was given an attempt at a movie pitch, which was to follow the Dwarfs in which they trap the villain in the magic mirror and setting it up for Snow White movie. Given the possible demand, Buena Vista Games brought in Obsidian Entertainment, a game developer, who pitched a video game focusing on the Dwarfs' similar ancestors. DTS executives were not feeling that the two franchise launching projects were coming together well enough that they turned to Mike Disa, who worked on the Tinker Bell movie story. Disa and Evan Spiliotopoulos pitched a Lord of the Rings-style epic for the dwarfs while \"connecting seamlessly\" with the original movie, which was given permission to move forward. With interfering managers wanting a tragic back story for Dopey, Disa decided that he could not go forward. Walt Disney Animation Studios chief creative officer John Lasseter about two month later ended production on the film.\n\nA:"
},
{
"from": "gpt",
"value": "2"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.\n\nQ: امیدوارم که شما برید بیرون و تلاش کنید تا سیستم مراقبت فردی عملی بشه برای خودتون و همه. خیلی متشکرم\n\nA: Spero che aiuterete lo sviluppo delle cure personali per voi stessi e per tutti. Grazie.\n****\nQ: اما جالبه که ، اونها شوخ طبعند.\n\nA: Ma, stranamente, hanno un senso dell'umorismo.\n****\nQ: وقتی درباره مغز صحبت می کنیم ، هر چیزی هست الا تک بعدی یا ساده یا تقلیل یافته.\n\nA:"
},
{
"from": "gpt",
"value": "Il cervello è tutto fuorché unidimensionale, semplicistico o riduzionista.\n****\n"
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nYou are given a sentence in Japanese. Your job is to translate the Japanese sentence into English.\n\nエイミー ： はい。アトランタの話なんだけど\nOutput:"
},
{
"from": "gpt",
"value": "AM: Okay, well, Atlanta."
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nGiven a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\n\nJapanese: 6人の鉱夫が生きているのか死んでいるのか現時点では分かっていない。 \n Thai: ไม่อาจทราบได้ว่าคนงานเหมืองทั้งหกคนยังคงมีชีวิตอยู่หรือเสียชีวิตแล้ว\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\n In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX finishes baking<sep>Tail: hungry\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.\n\nQ: شوراي بزرگان ماد چه ناميده مي شدند؟ <sep> (A) انشان (B) ماننا (C) هنجمن (D) اتحاديه\n\nA: C\n****\nQ: به غلط تصور کرده بود که با .............. خطاها میتواند از عواقب آنها مصون بماند <sep> (A) اصلاح (B) تشخیص (C) نادیده گرفتن (D) جلوگیری از\n\nA: C\n****\nQ: با کدامیک از برنامه های کاربردی زیر می توان یک بانک اطلاعاتی ایجاد نمود؟ <sep> (A) PowerPoint (B) Access (C) Word (D) Excel\n\nA:"
},
{
"from": "gpt",
"value": "B\n****\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether The Tail is the reason for the Head or not. The reason provides a post-fact explanation of the cause of an event. For example, why one has to walk could be explained by a car has broken down. 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.\nSee one example below:\nProblem: Head: hear music<sep>Tail: have ears\nSolution: Yes\nExplanation: This is a good example. The Tail is the reason for the Head.\n\nProblem: Head: play basketball<sep>Tail: tall like mike or shaq\nSolution:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "In this task, you need to answer the given multiple-choice question on the general math. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.\n\nProblem: a , b , and c are integers and a < b < c . s is the set of all integers from a to b , inclusive . q is the set of all integers from b to c , inclusive . the median of set s is ( 3 / 4 ) * b . the median of set q is ( 8 / 8 ) * c . if r is the set of all integers from a to c , inclusive , what fraction of c is the median of set r ? \nOptions: a ) 3 / 8 , b ) 1 / 2 , c ) 11 / 16 , d ) 5 / 7 , e ) 3 / 4"
},
{
"from": "gpt",
"value": "e"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nYou are given a sentence in Arabic. Your job is to translate the Arabic sentence into Farsi.\nPart 2. Example\nوقد كتبن اللغة وغالبا ما كانت لغة آلة وأحيانا شفرة ثنائية ترسل بعدها بالبريد لمركز البيانات لتنقل على شريط أو بطاقة ورقية مثقبة ثم تعاد الكرة مرة أخرى للتأكد.\nAnswer: و آنگاه آنها کُد می نوشتند ، معمولا کُد های ماشینی ، و گاهی کُد های صفر و یکی ، که سپس با پست به مرکز داده ها فرستاده می شد که روی چسب کاغذی یا کارتی منگنه شود و بعد دوباره حک شود تا مورد بازبینی قرار گیرد.\nExplanation: The Arabic sentence is correctly translated into Farsi, because the meaning is preserved.\nPart 3. Exercise\nفي منتصف سفري ، وبلغت سن الـ 40 ، وبدأت أكره جسدي ، الذي كان في الواقع متقدم ، لأنه على الأقل جسدي كان موجود لكي أهينه\nAnswer:"
},
{
"from": "gpt",
"value": "در حین مسافرتهام ، چهل سالم شد و شروع کردم از بدنم تنفرداشتن ، (چهل ساله شدم و شروع کردم متنفر شدن از بدنم) که خود در اصل یک پیشرفتی بود ، چون حد عقل ، بدنم وجود داشت ، تا اینکه بتواند شایسته ی نفرت باشد."
}
] |
[
{
"from": "human",
"value": "In this task, you are given one English sentence. The major part of the sentences talk about health-related topics, but some of the them describe an organization and its activities. Your job is to translate the given sentences into Swedish.\n\nExample input: The 3 week course is structured around main pillars:\nExample output: Treveckorskursen är uppbyggd kring tre pelare:\nExample explanation: The translation is correct\nQ: HEALTH TOPICS A-ZREAD MORE ON ECDC SITERELATED HEALTH TOPICSIN THIS SECTIONFEATURED PUBLICATION\nA:"
},
{
"from": "gpt",
"value": "HÄLSOTEMAN A-ÖLÄS MER PÅ ECDC:S WEBBPLATSRELATERADE HÄLSOTEMANI DETTA AVSNITTAKTUELL PUBLIKATION"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.\n\nאבל חשוב יותר, מבחינת ההיסטוריה של האזור התפקיד האסטרטגי שמילאה השפלה, והוא, היא היתה הדרך של צבאות עוינים ממישור החוף להתקדם ולהגיע להרים ולאיים על האוכלוסיה שגרה בהרים."
},
{
"from": "gpt",
"value": "Pero aínda máis importante na historia desta rexión, que tiña función estratéxica, son os medios polos que exércitos hostís atopaban o camiño pola costa, subían ás montañas e amedrentaban a aqueles que vivían alí."
}
] |
[
{
"from": "human",
"value": "Teacher:Given a sentence in the Japanese and Filipino language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nTeacher: Now, understand the problem? Solve this instance: Japanese: サウサンプトンの上層部は現在、チームのトッププレーヤーの一人である16歳のセオ・ウォルコットを最高入札者に売却するか熟慮している。 \n Filipino: Pinag aaralang mabuti ng mga boss ng Southtampton ang pagbebenta sa isa sa pinakamahusay nilang manlalaro, ang 16-taong gulang na si Theo Walcott para sa pinakamataas na magpepresyo.\nStudent:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.\nTeacher: Now, understand the problem? Solve this instance: BACKGROUND Human papillomavirus (HPV) testing is more sensitive for the detection of high-grade cervical lesions than is cytology, but detection of HPV by DNA screening in two screening rounds 5 years apart has not been assessed. The aim of this study was to assess whether HPV DNA testing in the first screen decreases detection of cervical intraepithelial neoplasia (CIN) grade 3 or worse, CIN grade 2 or worse, and cervical cancer in the second screening. \n METHODS In this randomised trial, women aged 29-56 years participating in the cervical screening programme in the Netherlands were randomly assigned to receive HPV DNA (GP5+/6+-PCR method) and cytology co-testing or cytology testing alone, from January, 1999, to September, 2002. Randomisation (in a 1:1 ratio) was done with computer-generated random numbers after the cervical specimen had been taken. At the second screening 5 years later, HPV DNA and cytology co-testing was done in both groups; researchers were masked to the patient's assignment. The primary endpoint was the number of CIN grade 3 or worse detected. Analysis was done by intention to screen. The trial is now finished and is registered, number ISRCTN20781131. \n FINDINGS 22,420 women were randomly assigned to the intervention group and 22 518 to the control group; 19 999 in the intervention group and 20,106 in the control group were eligible for analysis at the first screen. At the second screen, 19 579 women in the intervention group and 19,731 in the control group were eligible, of whom 16,750 and 16,743, respectively, attended the second screen. In the second round, CIN grade 3 or worse was less common in the intervention group than in the control group (88 of 19 579 in the intervention group vs 122 of 19,731 in the control group; relative risk 0·73, 95% CI 0·55-0·96; p=0·023). Cervical cancer was also less common in the intervention group than in the control group (four of 19 579 in the intervention group vs 14 of 19,731; 0·29, 0·10-0·87; p=0·031). In the baseline round, detection of CIN grade 3 or worse did not differ significantly between groups (171 of 19 999 vs 150 of 20,106; 1·15, 0·92-1·43; p=0·239) but was significantly more common in women with normal cytology (34 of 19,286 vs 12 of 19,373; 2·85, 1·47-5·49; p=0·001). Furthermore, significantly more cases of CIN grade 2 or worse were detected in the intervention group than in the control group (267 of 19 999 vs 215 of 20,106; 1·25, 1·05-1·50; p=0·015). In the second screen, fewer HPV16-positive CIN grade 3 or worse were detected in the intervention group than in the control group (17 of 9481 vs 35 of 9354; 0·48, 0·27-0·85; p=0·012); detection of non-HPV16-positive CIN grade 3 or worse did not differ between groups (25 of 9481 vs 25 of 9354; 0·99, 0·57-1·72; p=1·00). The cumulative detection of CIN grade 3 or worse and CIN grade 2 or worse did not differ significantly between study arms, neither for the whole study group (CIN grade 3 or worse: 259 of 19 999 vs 272 of 20,106; 0·96, 0·81-1·14, p=0·631; CIN grade 2 or worse: 427 of 19 999 vs 399 of 20,106; 1·08, 0·94-1·24; p=0·292), nor for subgroups of women invited for the first time (CIN grade 3 or worse in women aged 29-33 years: 102 of 3139 vs 105 of 3128; 0·97, 0·74-1·27; CIN grade 2 or worse in women aged 29-33 years: 153 of 3139 vs 151 of 3128; 1·01, 0·81-1·26; CIN grade 3 or worse in women aged 34-56 years: 157 of 16,860 vs 167 of 16 978; 0·95, 0·76-1·18; CIN grade 2 or worse in women aged 34-56 years: 274 of 16,860 vs 248 of 16 978; 1·11, 0·94-1·32). \n INTERPRETATION Implementation of HPV DNA testing in cervical screening leads to earlier detection of clinically relevant CIN grade 2 or worse, which when adequately treated, improves protection against CIN grade 3 or worse and cervical cancer. Early detection of high-grade cervical legions caused by HPV16 was a major component of this benefit. Our results lend support to the use of HPV DNA testing for all women aged 29 years and older. \n FUNDING Zorg Onderzoek Nederland (Netherlands Organisation for Health Research and Development).\nStudent:"
},
{
"from": "gpt",
"value": "Human papillomavirus testing for the detection of high-grade cervical intraepithelial neoplasia and cancer: final results of the POBASCAM randomised controlled trial."
}
] |
[
{
"from": "human",
"value": "Given a sentence in the Japanese and Thai language. Your task is check if the Filipino sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\n\nEx Input:\nJapanese: ハリケーンエミリーが、東カリブ海の小さな島であるグレナダを襲った。 \n Thai: พายุเฮอร์ริเคนเอมิรีโหมกระหน่ำเกรนาดา ซึ่งเป็นประเทศเกาะอยู่ในทะเลแคริบเบียนด้านตะวันออก\n\nEx Output:\nYes\n\n\nEx Input:\nJapanese: ITVニュース・ボーダーのリポーター、マシュー・テイラーはベーティが「長く語り継がれる遺産をこの地域に残すだろう」と言った。 \n Thai: Matthew Taylor นักข่าวของ ITV News Border กล่าวว่า Batey \"จะคงอยู่เป็นตำนานของเมืองนี้สืบไป\"\n\nEx Output:\nYes\n\n\nEx Input:\nJapanese: 同社は、起業するのを助け、技術革新をサポートする為に、仕様や設計文書を共有したいということを示した。 \n Thai: บริษัทชี้ให้เห็นว่ามีความต้องการที่จะแบ่งปันรายละเอียดและการออกแบบเอกสารต่างๆ เพื่อช่วยในการเริ่มต้นและสนับสนุนทางนวัตกรรม\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Yes\n\n\n"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: religious or non-political religious on the topic.\n\nএই মেয়ে পর্দা করে না ওর মা কিছুই শিখায় নাই ভালো মেয়ে না তাই রাস্তায় নামে \n"
},
{
"from": "gpt",
"value": "religious"
}
] |
[
{
"from": "human",
"value": "Teacher:Given a sentence in the Japanese, provide an equivalent translation in Lao that retains the same meaning through the translation. In translation, keep numbers as it is.\nTeacher: Now, understand the problem? Solve this instance: 調教師のダグ・オニールによると、アイルハヴアナザーが出走を取り消された理由は、彼の左前脚に腫れがあった為である。\nStudent:"
},
{
"from": "gpt",
"value": "ເຫດຜົນທີ່ I'll Have Another ໄດ້ຖືກຄັດອອກຈາກສະໜາມ ມັນຍ້ອນວ່າ ມີການເອນໜ້າເບື້ອງຊ້າຍມັນໄຂ່ ອີງຕາມຜູ້ຝຶກ Doug O'Neil."
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form \" A >Causes> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).\n\nExample Input: story: It was raining outside and Kelly needed some new boots. She drove over to the Burberry store to buy some. She picked up the first ones she saw. She ended up loving them. Thankfully they worked great.\n selected sentence: She ended up loving them.\nExample Output: Kelly loves the boots >Causes> Kelly feel(s) happy\n\nExample Input: story: Nate never left the house. He just like staying inside and sleeping. His friend Jack invited him to a comedy show. Nate laughed harder than he ever had. After that he went to the comedy show every week.\n selected sentence: He just like staying inside and sleeping.\nExample Output: He likes staying inside his house >Causes> He feel(s) comfortable\n\nExample Input: story: Madison turned sixteen. Her birthday present was really big. Her parents bought her a new car! She was so happy. She took it for a spin.\n selected sentence: She took it for a spin.\nExample Output:"
},
{
"from": "gpt",
"value": "Madison drives her new car >Causes> Madison feel(s) happy\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label \"Yes\" if the translation is correct, otherwise generate label \"No\".\n--------\nQuestion: Swedish: Jag lämnar därför ordet till Bourlanges i hans egenskap av föredragande av yttrandet från budgetutskottet. \n English: Madam President, academics are, by nature, an argumentative group, so as a former university lecturer and course director, it has been with great interest that I followed a very public debate in Ireland between academics over the future direction of Irish universities.\n\nAnswer: No\n\n\nQuestion: Swedish: Schroedters arbete är ett steg mot en större öppenhet och effektivitet inom ramen för de strukturella stöden. \n English: Mrs Schroedter' s report marks a further step towards the transparency and effectiveness of structural aid.\n\nAnswer: Yes\n\n\nQuestion: Swedish: Vad gäller de konkreta bestämmelserna måste de vara särskilt tydliga och strikta. \n English: The terms of the regulations to be enforced must be particularly clear and strict.\n\nAnswer:"
},
{
"from": "gpt",
"value": "Yes\n\n\n"
}
] |
[
{
"from": "human",
"value": "Q: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.\nحتی در خون نسبتا استریل شده ، حدود یک تا دو درصد از این اطلاعات ماده ی تاریک اند- حتی در خون نسبتا استریل شده ، حدود یک تا دو درصد از این اطلاعات ماده ی تاریک اند- و نمی توان آنها را طبقه بندی کرد ، نمی توان آنها را دسته بندی و یا با هر چیز دیگری که ما قبلا دیده ایم همسان و مطابقت داد.\nA:"
},
{
"from": "gpt",
"value": "Persino in un campione di sangue relativamente sterile, circa l '1-2% dell' 'informazione presente è materia oscura — non può essere classificata, ordinata in tipi o associata a nulla di noto."
}
] |
[
{
"from": "human",
"value": "Definition: In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.\nInput: Context_1 : Et tu, Brute? (] ) is a Latin phrase meaning \"and you, Brutus?\", made famous by its occurrence in William Shakespeare's play \"Julius Caesar\", where it is uttered by the Roman dictator Julius Caesar to his friend Marcus Brutus at the moment of the former's assassination. The Latin expression first occurs in Elizabethan literary texts. The quotation is widely used in the English-speaking world to signify the unexpected betrayal by a person, such as a friend. Context_2 : Macbeth is a silent Italian 1909 film adaptation of the William Shakespeare play \"Macbeth\". It was the second \"Macbeth\" film released that year (released on 27 November 1909), and is the third film version of the play. The film was directed by Mario Caserini, and starred Dante Cappelli, Maria Caserini, Amleto Palormi, and Ettore Pesci. The running time is 16 minutes and it is a black-and-white film. Context_3 : Hamlet is a 1908 French silent film adaptation of the classic William Shakespeare play, \"Hamlet\". The film was one of the earliest film adaptations of this play, and starred Jacques Grétillat and Colanna Romano. It was directed by Henri Desfontaines, and was one of twelve renditions of the play produced during the silent film era. Context_4 : Julius Caesar is a 1950 film adaptation of the Shakespeare play \"Julius Caesar\". The first film version of the play with sound, it was produced and directed by David Bradley using actors from the Chicago area. Charlton Heston, who had known Bradley since his youth, and who was establishing himself in television and theater in New York, played Mark Antony. He was the only paid cast member. Bradley himself played Brutus, and Harold Tasker had the title role. Bradley recruited drama students from his alma mater Northwestern University for bit parts and extras, one of whom was future star Jeffrey Hunter, who studied alongside Heston at Northwestern. Context_5 : Macbeth is a black and white 1922 film adaptation of the William Shakespeare play Macbeth. It was the last silent film version of that play produced, and the eighth film adaptation of the play. Context_6 : Hamlet, also known as Le Duel d'Hamlet, is a 1900 French film adaptation of an excerpt from the William Shakespeare play \"Hamlet\". It is believed to have been the earliest film adaptation of the play, and starred actress Sarah Bernhardt in the lead role. It was directed by Clément Maurice. The film is two minutes in length. It also was one of the first films to employ the newly discovered art of pre-recording the actors' voices, then playing the recording simultaneous to the playing of the film. So, while produced during the silent film era, the film is technically not a silent film. Context_7 : Caesar is the title of Orson Welles's innovative 1937 adaptation of William Shakespeare's \"Julius Caesar\", a modern-dress bare-stage production that evoked comparison to contemporary Fascist Italy and Nazi Germany. Considered Welles's highest achievement in the theatre, it premiered November 11, 1937, as the first production of the Mercury Theatre, an independent repertory theatre company that presented an acclaimed series of productions on Broadway through 1941. Context_8 : Tom Powers (July 7, 1890 – November 9, 1955) was an American actor in theatre, films, radio and television. A veteran of the Broadway stage, notably in plays by George Bernard Shaw, he created the role of Charles Marsden in Eugene O'Neill's \"Strange Interlude\". He succeeded Orson Welles in the role of Brutus in the Mercury Theatre's debut production, \"Caesar\". In films, he was a star of Vitagraph Pictures and later became best known for his role as the victim of scheming wife Barbara Stanwyck and crooked insurance salesman Fred MacMurray in the film noir classic, \"Double Indemnity\" (1944). Context_9 : William Shakespeare is an outdoor bronze sculpture of William Shakespeare by John Quincy Adams Ward, located in Central Park in Manhattan, New York. The statue was created in 1870 and unveiled in Central Park in 1872. Four thousand dollars towards the funding of the statue was raised at a benefit performance of \"Julius Caesar\" performed by the sons of Junius Brutus Booth (Junius Brutus Booth, Jr., Edwin Booth, and John Wilkes Booth) at the Winter Garden Theater. Context_10 : Love's Labour's Lost is a 2000 adaptation of the comic play of the same name by William Shakespeare, directed by and starring Kenneth Branagh. It was the first feature film to be made of this lesser-known comedy. Branagh's fourth film of a Shakespeare play (he did not direct the 1995 \"Othello\", although he did play Iago), \"Love's Labour's Lost\" was a box-office and critical disappointment. fact_1 : Tom Powers (July 7, 1890 – November 9, 1955) was an American actor in theatre, films, radio and television. fact_2 : He succeeded Orson Welles in the role of Brutus in the Mercury Theatre's debut production, \"Caesar\". fact_3 : Caesar is the title of Orson Welles's innovative 1937 adaptation of William Shakespeare's \"Julius Caesar\", a modern-dress bare-stage production that evoked comparison to contemporary Fascist Italy and Nazi Germany. Question: Tom Powers appeared as Brutus in an adaptation of a William Shakespeare play that was first produced in what year?\nOutput:"
},
{
"from": "gpt",
"value": "1937"
}
] |
[
{
"from": "human",
"value": "Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into English.\nInput: ואז הדרך שאתם מעבדים מידע כדי לקבל תוצאה היא שאתם מתרגמים את התבנית הזו של פעילות לתבנית חדשה של פעילות, רק על ידי כך שהיא זורמת ברשת.\nOutput:"
},
{
"from": "gpt",
"value": "And then the way that you process that data to get a result is that you translate this pattern of activity into a new pattern of activity, just by it flowing through the network."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. This task is in Spanish. Based on the given context, generate a question which can be answered by the given context. Generate a question that has more than 7 words. You can paraphrase the given context while forming the question.\n Suggestion: The question may involve starting question words like WHERE, WHEN, HOW, WHAT (in Spanish).\n\nCONTEXT: Casino Royale es la vigésima primera película de la serie cinematográfica de James Bond, basada en la novela homónima de Ian Fleming, dirigida por el neozelandés Martin Campbell y estrenada en el 2006. Es la primera cinta de la franquicia que cuenta con Daniel Craig en el papel protagonista del agente 007, así como la tercera adaptación de Casino Royale (la primera versión se estrenó en el año 1954, y la segunda en el año 1967). La trama aborda los comienzos de James Bond como espía secreto, justo después de haber obtenido su licencia para matar. Tras prevenir un ataque terrorista en el Aeropuerto Internacional de Miami, Bond se enamora de Vesper Lynd, una agente de Her Majesty's Treasury, asignada para proporcionarle los fondos monetarios necesarios para frustrar un torneo de póquer de altas apuestas, organizado por Le Chiffre. La historia continúa en Quantum of Solace.\nANSWER: agente 007\n"
},
{
"from": "gpt",
"value": "¿Cómo se conoce también a James Bond?"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.\nTeacher: Now, understand the problem? Solve this instance: কাউয়া কাদেরের কথায় কোন ভরসা নেই।।\nStudent:"
},
{
"from": "gpt",
"value": "political"
}
] |
[
{
"from": "human",
"value": "This task is to translate a news commentary given in English language into French language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.\n\nEx Input:\nWe in the developed countries have more than enough to cover our basic needs.\n\nEx Output:\nNous autres citoyens des pays développés jouissons de bien plus qu’il nous faut pour satisfaire nos besoins essentiels.\n\n\nEx Input:\nHowever, America's unilateral options are limited.\n\nEx Output:\nCependant, les options unilatérales de l'Amérique sont limitées.\n\n\nEx Input:\nBefore that, a petition, signed by roughly 80 prominent British intellectuals and a few from other European countries, demanded the cessation of European Union funding for Israeli cultural projects and institutions.\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Avant cela, une pétition signée par environ 80 éminents intellectuels britanniques et par quelques autres originaires d’autres pays européens, exigeait la cessation des financements européens des projets culturels et des institutions israéliennes.\n\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.\nExample: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.\nExample solution: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.\nExample explanation: The Galician sentence is correctly translated into Polish, because the meaning is preserved.\n\nProblem: As manías poden ser boas.\n"
},
{
"from": "gpt",
"value": "Solution: Obsesje mogą być dobre."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.\nOne example is below.\nQ: それは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です\nA: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.\nRationale: The Japanese sentence is correctly translated into Spanish, because the meaning is preserved.\nQ: 実際僕たちはこの人に素材を提供\nA:"
},
{
"from": "gpt",
"value": "De hecho, a este tipo le mandamos materiales."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into \"Contradiction\", \"Neutral\", or \"Entailment\".\nSee one example below:\nProblem: Premise: و شما می دانید مردم می گویند که می دانید فرستادن بچه ها به کالج گران است ، اما اگر همه مسئولیت کمی را بر عهده داشته باشند می دانید که هزینه آن در حدود پانصد دلار در هر ترم است ، فرض کنید که به یک کالج ایالتی بروند و در خانه زندگی کنند <sep> Hypothesis: مردم می گویند کالج گران است.\nSolution: Entailment\nExplanation: This is a good example, and the hypothesis sentence entails the given premise sentence.\n\nProblem: Premise: در وسط، ستونی از سواران وجود داشت،بسیار سریع و قادر به شکافتن هرگونه مقاومت در برابر پیاده نظام بود. <sep> Hypothesis: بین نور ، سواران زیادی وجود داشتند که به سرعت در میان گروه های پیاده نظام میتاختند.\nSolution:"
},
{
"from": "gpt",
"value": "Entailment"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Arabic, and your task is to translate it into English.\n\nLet me give you an example: أمي - سأعود بالحال -\nThe answer to this example can be: Mommy will be right back.\nHere is why: This is a good example. The above sentence is correctly translated from Arabic to English.\n\nOK. solve this:\n-أنت من شعب (نيوزلندا) الأصليّ، صحيح؟\nAnswer:"
},
{
"from": "gpt",
"value": "You're Maori. Aren't you?"
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: Given a sentence in French, provide an equivalent paraphrased translation in Chinese that retains the same meaning both through the translation and the paraphrase.\nPROBLEM: Le réseau utilisait auparavant un traducteur à Waterbury, W12BH (canal 12), qui répétait directement WEDY.\n\nSOLUTION: 该网络以前在Waterbury，W12BH（第12频道）运行翻译，该翻译直接重复WEDY。\n\nPROBLEM: En novembre, les Royals CF Coco Crisp ont acquis de Boston Red Sox en échange de RP Ramón Ramírez.\n\nSOLUTION: 11月，皇家队从波士顿红袜队手中收购了CF Coco Crisp以换取RPRamónRamírez。\n\nPROBLEM: Ingham a écrit qu'en décembre 1872, le journal du collège, le \"Collegian d'Algona\", faisait état des frais de scolarité suivants:\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "英厄姆写道，1872年12月，大学报“阿尔戈纳大学生”报告了以下学费：\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: Given a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nQ: Japanese: セントラルワールドでの新年のカウントダウンは午後9時頃行われ、警察とバンコク知事のアピラック・コーサヨーティン氏は、どんちゃん騒ぎする数千の人たちに対し、「家に帰って平和に過ごすように」と強く呼びかけた。 \n Khamer: ការរាប់ថយក្រោយសំរាប់ថ្ងៃចូលឆ្នាំនៅមណ្ឌលសិនត្រលវ៉ើល ត្រូវបានចាប់ផ្តើមនៅម៉ោង9:00ល្ងាចជាមួយប៉ូលីសនិងអភិបាលក្រុងបាងកកអាភីរ៉ាក់ កុសាយុធីនហើយជំរុញមនុស្សរាប់ពាន់នាក់អោយប្រញាប់\"ត្រឡប់ទៅផ្ទះនិងនៅក្នុងភាពស្ងប់ស្ងាត់។\"\nA:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\n\nJag föreslår att Evans läser bestämmelserna.\nI suggest Mr Evans goes back and reads the regulation.\n\nVi vill därför att EG-kortet för tillhandahållande av tjänster begärs för en eller flera medlemsstater.\nTherefore we want applications for the service provision card to be for one or more Member States.\n\nHerr talman! Europeiska socialdemokratiska partiets grupp i detta parlament ställer sig bakom det betänkande som Berend just har lagt fram och vi gratulerar upphovsmannen, både till hans fina slutsatser och till hans flexibilitet som har gjort det möjligt för utskottet att införa ändringsförslag från de olika grupperna.\n"
},
{
"from": "gpt",
"value": "Mr President, the Group of the Party of European Socialists in this Parliament agrees with the report that Mr Berend has just presented and congratulates the author, both on the quality of his conclusions and on his flexibility, which ensured that the different groups were able to incorporate amendments in committee.\n\n"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Polish.\n\nこのような地下に棲む架空の人物か動物を作り出したいと思いました当時一番簡単だったのは自分がモデルになることでした\n"
},
{
"from": "gpt",
"value": "Chciałam stworzyć postać ludzką, czy zwierzęcą, która zamieszkuje podziemne przestrzenie, a wtedy najłatwiej było mi to zrobić, samej zostając modelką. a wtedy najłatwiej było mi to zrobić, samej zostając modelką."
}
] |
[
{
"from": "human",
"value": "Q: 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.\nExpressing concern over lack of focus on rural upliftment needs as a result of which unplanned expansion of urban slums was happening, the Vice President urged policy-makers, planners, and civil society to adopt a conscious, pronounced bias towards rural development.\nA:"
},
{
"from": "gpt",
"value": "دیہی علاقوںکی بہتری کی ضرورت پر توجہ میں کمی پر تشویش کا اظہار کرتے ہوئے ،جس کے نتیجے میں شہروں میں جھگی بستیوں کی غیر منصوبہ بند توسیع ہورہی ہے ، نائب صدرجمہوریہ نے پالیسی سازوں ، منصوبہ سازوںاور سول سوسائٹی سے زور دے کر کہا ہے کہ وہ سوچے سمجھے اور واضح طریقے سے دیہی ترقی کی طرف خصوصی توجہ دیں۔"
}
] |
[
{
"from": "human",
"value": "In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. You should write an incorrect option. Even though there exist multiple wrong answers, we only need a single wrong answer. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.\nExample: Drapeau’s cohorts, the cohort would be a “victim” of making the bomb. Further, firebombs are inherently dangerous. There is no peaceful purpose for making a bomb. Felony offenses that involve explosives qualify as “violent crimes” for purposes of enhancing the sentences of career offenders. See 18 U.S.C. § 924(e)(2)(B)(ii) (defining a “violent felony” as: “any crime punishable by imprisonment for a term exceeding one year ... that ... involves use of explosives”). Courts have found possession of a'bomb to be a crime of violence based on the lack of a nonviolent purpose for a bomb and the fact that, by its very nature, there is a substantial risk that the bomb would be used against the person or property of another. See United States v. Newman, 125 F.3d 863 (10th Cir.1997) (unpublished) (<HOLDING>); United States v. Dodge, 846 F.Supp. 181,, Holding statements: (A) holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 (B) holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence (C) holding that sexual assault of a child qualified as crime of violence under 18 usc 16 (D) holding for the purposes of 18 usc 924e that being a felon in possession of a firearm is not a violent felony as defined in 18 usc 924e2b (E) holding that a court must only look to the statutory definition not the underlying circumstances of the crime to determine whether a given offense is by its nature a crime of violence for purposes of 18 usc 16\nExample solution: holding that bank robbery by force and violence or intimidation under 18 usc 2113a is a crime of violence \nExample explanation: It's a good example. Based on the given prompt, holding that possession of a pipe bomb is a crime of violence for purposes of 18 usc 3142f1 is correct.\n\nProblem: Over Plaintiffs’ Refund Claim. The June 4, 2009 Second Amended Complaint also could be construed as alleging a claim for tax refund, because Plaintiffs request the return of taxes that they allegedly paid. Sec. Am. Compl. at 1-2. The court, however, does not have jurisdiction over this claim, because Plaintiffs have failed to pay the taxes owed in full. 26 U.S.C. § 6511(a). Plaintiffs insist that they fully paid the taxes in intiffs’ Takings Claim. Although Plaintiffs also argue the court has jurisdiction “as described in 28 U.S.C. § 1491, for a claim for just compensation for the taking of property [ ] by the government,” as a matter of law, tax collection is not a cognizable taking under the Fifth Amendment. U.S. Shoe Corp. v. United States, 296 F.3d 1378, 1383 (Fed.Cir.2002) (<HOLDING>). As the United States Court of Federal Claims \n Holding statements: (A) holding unemployment taxes accrued when employees were terminated not when the amount of compensation taxes are determinable (B) holding that taxes are not private property that can be physically taken by the government (C) holding that taxes were a claim against the estate that had to be filed in probate court thus reversing an order requiring heirs to pay taxes on estate property because the district court did not have jurisdiction (D) holding that when federal government acquires property through condemnation it must account for state and local property taxes interest and penalties (E) holding petitioner could not deduct real estate taxes imposed on property he did not own because these taxes were not imposed on him\n"
},
{
"from": "gpt",
"value": "Solution: holding unemployment taxes accrued when employees were terminated not when the amount of compensation taxes are determinable"
}
] |
[
{
"from": "human",
"value": "Instructions: In this task you are given a small conversation between two persons and 4 options on how the conversation should continue. Your job is to choose the most reasonable option. The conversation and the options are separated by a newline character. Each dialogue in the conversation are separated by a comma. F and M indicate female and male, respectively.\nInput: F: Next, please. ,M: Hi, I bought this DVD player here last Saturday, but it's not working properly. ,F: What's the matter with it? ,M: Well, several things. First of all, the remote doesn't work. ,F: Did you put batteries in it? ,M: Yes, of course. But it still didn't work. I couldn't change any of the functions on the display. It also doesn't fast forward when I'm playing a DVD. ,F: Well, I'm sure that it's just a problem with this one player. I've never seen this with any of the models made by this brand. Do you want any of exchange it or return it?\n(A) M: I'd like to change it. Though I forgot put the battery in the remote, the fast-forward function still doesn't work well. (B) M: I'd like to return it. I heard that this brand of the CD players work not well all the time. (C) M: I'd like to change it into a new one. The CD player works not well for several problems, I like it though. (D) M: I didn’t hear you. Please could you tell me again?\nOutput:"
},
{
"from": "gpt",
"value": "D"
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nYou are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.\n\n\"\" Nessun uomo è un'isola completamente a sé.\nSolution: \"\" אף אדם אינו אי העומד בפני עצמו.\nWhy? The Italian sentence is correctly translated into Hebrew, because the meaning is preserved.\n\nNew input: Non avrete certo 72 vergini in paradiso.\nSolution:"
},
{
"from": "gpt",
"value": "אתה לא באמת הולך לזכות ב-72 הבתולות בגן-עדן."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Galician.\nProblem:Per esempio, uno dei miei colleghi, Robert, un oncologo, mi diceva: \"\" Sandrine, è misterioso.\nSolution:"
},
{
"from": "gpt",
"value": "Por exemplo, falando cun colega meu, Robert, un oncólogo, comentábame, \"\" Sandrine, isto é desconcertante."
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nYou are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .\nPart 2. Example\nStatement: ਅਮੀਯਾਹ ਸਕੌਟ ਅਸਲ ਵਿੱਚ 11 ਜਨਵਰੀ 1988 ਨੂੰ <MASK> ਸ਼ਹਿਰ ਵਿੱਚ ਇੱਕ ਵੱਖਰੇ ਨਾਮ ਨਾਲ ਪੈਦਾ ਹੋਈ ਸੀ। ਹਾਲਾਂਕਿ ਉਸਦਾ ਪਾਲਣ ਪੋਸ਼ਣ ਲੂਈਜ਼ੀਆਨਾ ਨਿਊ ਓਰਲੀਨਜ਼ ਸ਼ਹਿਰ ਵਿੱਚ ਹੋਇਆ ਸੀ।\n\n Option A: ਜਾਰਜੀਆ\n\n Option B: ਮੈਨਹੈਟਨ\n\n Option C: Lebanon\n\n Option D: ਲੂਈਜ਼ੀਆਨਾ\nAnswer: ਮੈਨਹੈਟਨ\nExplanation: Amiyah Scott was born in Manhattan, the most suitable word to replace <MASK> token from the options is ਮੈਨਹੈਟਨ .\nPart 3. Exercise\nStatement: ਉਸਨੇ 1956 ਵਿਚ ਦੋ ਫਿਲਮਾਂ, ਫੰਕਾਰ ਅਤੇ ਮੰਡੀ ਵਿਚ ਕੰਮ ਕੀਤਾ . ਮੰਡੀ ਖੁਰਸ਼ੀਦ ਅਤੇ ਸੰਗੀਤ ਦੇ ਸੰਗੀਤਕਾਰ ਰਫੀਕ ਗਜ਼ਨਵੀ ਦੇ ਕਾਰਨ ਪ੍ਰਸਿੱਧ ਸੀ, ਪਰ ਫਿਲਮ ਦੇ ਮਾੜੇ ਪ੍ਰਬੰਧਨ ਦੇ ਕਾਰਨ ਫਿਲਮ ਬਾਕਸ ਆਫਿਸ 'ਤੇ ਸਫਲ ਨਹੀਂ ਹੋ ਸਕੀ। <MASK> ਦੇ ਸੇਂਟ ਪਾਲ ਦੇ ਇੰਗਲਿਸ਼ ਹਾਈ ਸਕੂਲ ਵਿਚ ਭੌਤਿਕ ਵਿਗਿਆਨ ਅਧਿਆਪਕ ਰੌਬਰਟ ਮਲਿਕ ਦੁਆਰਾ ਬਣਾਈ ਗਈ ਦੂਸਰੀ ਫਿਲਮ ਫੰਕਰ ਵੀ ਇਹੀ ਕਿਸਮਤ ਝੱਲਣੀ ਪਈ।\n\n Option A: ਲਾਹੌਰ\n\n Option B: ਸਿੰਧ\n\n Option C: ਕਰਾਚੀ\n\n Option D: ਬੰਬੇ\nAnswer:"
},
{
"from": "gpt",
"value": "ਕਰਾਚੀ"
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form \" A >causes/enables> B\". Try to use phrases and sentences from the story to compose your answer when possible.\n\nstory: John had a headache. He was scared it was the beginning of the flu. He took some headache medicine and went to bed. When he woke up the headache was better. He was so glad to not have the flu.\n selected sentence: He took some headache medicine and went to bed."
},
{
"from": "gpt",
"value": "John gets a headache >Causes/Enables> John takes headache medicine"
}
] |
[
{
"from": "human",
"value": "Q: A text is given in Gujarati. Translate it from the Gujarati language to the Hindi language. The translation must not omit or add information to the original sentence.\nપેટ્રોટેક – 201 પ્રદર્શનમાં મેક ઇન ઇન્ડિયા અને અક્ષય ઊર્જા થીમ પર વિશેષ ક્ષેત્રોની સાથે-સાથે 40થી વધારે દેશોનાં 13થી વધારે સ્વદેશી સ્ટૉલ અને લગભગ 50 પ્રદર્શકો સામેલ થશે.\nA:"
},
{
"from": "gpt",
"value": "पेट्रोटेक -2019 प्रदर्शनी में मेक इन इंडिया और अक्षय ऊर्जा थीम पर विशेष क्षेत्रों के साथ-साथ 40 से अधिक देशों के 13 से अधिक देशी मंडप और लगभग 750 प्रदर्शक शामिल होंगे।"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a question and answer options for that question. Using this information, you have to classify each text into different topics: medicine, nursery, psychology, chemistry, pharmacology, biology.\nTeacher: Now, understand the problem? Solve this instance: Question: Glutathione fulfills everything that follows except: \n Options: <0> It is a dipeptide. <1> Eliminates peroxides and free radicals. <2> Participates in the detoxification of compounds. <3> Acts as a cofactor of some enzymes. <4> Protects against oxidative stress.\nStudent:"
},
{
"from": "gpt",
"value": "chemistry"
}
] |
[
{
"from": "human",
"value": "Teacher: Given a sentence in the Filipino, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nNatalo ng Italya ang Portugal sa puntos na 31-5 sa Grupong C noong 2007 sa Pandaigdigang laro ng Ragbi sa Parc des Princes, Paris, France.\nSolution: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。\nReason: The Filipino sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.\n\nNow, solve this instance: Sinabi ni Langham na siya ay nangatwiran na wala siyang kasalanan dahil hindi niya gustong matawag na, \"Pedopilya.\"\nStudent:"
},
{
"from": "gpt",
"value": "ランガム氏は、彼が「小児性愛者」と名付けられたくないので無実を主張すると言った。"
}
] |
[
{
"from": "human",
"value": "instruction:\nYou are given a sentence in Polish. Your job is to translate the Polish sentence into English.\nquestion:\nChcieli muzeum dinozaurów, żeby przyciągnęło turystów bo ważny przemysł.\nanswer:\nGive us a museum of dinosaurs, and we will attract tourists, which is our number two industry.\n\n\nquestion:\nLudzki mózg jest więc niesamowity, lecz nie jeśli chodzi o liczbę neuronów.\nanswer:\nSo the human brain may be remarkable, yes, but it is not special in its number of neurons.\n\n\nquestion:\nJakie ciało jest pociągające?\nanswer:\n"
},
{
"from": "gpt",
"value": "What is a sexy body?\n\n\n"
}
] |
[
{
"from": "human",
"value": "Q: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nJapanese: イーライリリー社は、創薬の開発パートナーだった。 \n Bahasa Indonesia: Eli Lilly & Co adalah mitra pembangunan dalam penciptaan obat.\nA:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "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.\n\n[Q]: మేము Alabama నుండి.\n[A]: We're from Alabama.\n\n\n[Q]: మరియు శాంటా, లిటిల్ బాయ్ మీరు ఏమి తీసుకుని వచ్చింది?\n[A]: And what did Santa bring you, little boy?\n\n\n[Q]: ఆ ప్రణాళిక.\n[A]:"
},
{
"from": "gpt",
"value": "That is the plan.\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX wants what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonX, respectively. As a result of PersonX giving PersonY gifts, PersonX may also desire to hug PersonY. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nEx Input:\nHead: PersonX does a bad job<sep>Tail: apologize\n\nEx Output:\nYes\n\n\nEx Input:\nHead: PersonX 'd better go<sep>Tail: to walk away\n\nEx Output:\nYes\n\n\nEx Input:\nHead: PersonX buries the lead<sep>Tail: to publish his work\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Yes\n\n\n"
}
] |
[
{
"from": "human",
"value": "Q: In this task, you will be presented with a premise sentence and a hypothesis sentence in Persian. Determine whether the hypothesis sentence entails, contradicts, or is neutral with respect to the given premise sentence. Classify your answers into \"Contradiction\", \"Neutral\", or \"Entailment\".\nPremise: یکی از گمانههای رایج دربارهٔ نام اورامان این است که واژهٔ «اورامان»، یا به زبان محلی «هـَـورامان»، از دو بخش «هورا» بهمعنی «اهورا» و «مان» بهمعنی خانه، جایگاه و سرزمین تشکیل شدهاست. <sep> Hypothesis: اورامان بهمعنی «سرزمین اهورایی» و «جایگاه اهورامزدا» است.\nA:"
},
{
"from": "gpt",
"value": "Entailment"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX cooks bacon<sep>Tail: satisfied\n"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "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.\nQ: Tweet: @CallME__Jetson hoe ass nigga. 😑\nLabel: Hate Speech\nA: "
},
{
"from": "gpt",
"value": "false"
}
] |
[
{
"from": "human",
"value": "Definition: In this task, given a sentence in the English language, your task is to convert it into the Hindi language.\nInput: On 77 minutes, the Falkirk side had the ball in the net, but the goal was disallowed for a clear foul on the Kilmarnock goalkeeper.\nOutput:"
},
{
"from": "gpt",
"value": "77 मिनट पर, फ़ाल्किर्क पक्ष की गेंद नेट में थी, लेकिन किल्मरनॉक के गोलकीपर पर स्पष्ट फ़ाउल के लिए गोल को अस्वीकार कर दिया गया।"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label \"Yes\" if the translation is correct, otherwise generate label \"No\". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).\n\nHindi: मार्च २३ २००८ को राज की टिप्पणियों के लगभग डेढ महीने बाद अमिताभ ने एक स्थानीय अखबार को साक्षात्कार देते हुए कह ही दिया कि अकस्मात लगाए गए आरोप अकस्मात ही लगते हैं और उन्हें ऐसे किसी विशेष ध्यान की जरूरत नहीं है जो आप मुझसे अपेक्षा रखते हैं। \n English: March 23,2008 after 1 and half month of the criticism to him by the raj, he said to reporters that the instantly criticism are always instant and it should be avoided.\n"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions of the participants in the sentence and those affected by it. Is any of these emotions caused by the sentence? You should write your answer in the form \" A >Causes> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the sentence describing the result, you must use the verb feel(s).\nTeacher: Now, understand the problem? Solve this instance: story: Two days ago I dropped my laundry of at the laundromat to be cleaned. When I got there the person working was on break. I had to wait around for like twenty minutes. She finally showed up and unlocked the doors. I paid her and got my laundry like I wanted.\n selected sentence: When I got there the person working was on break.\nStudent:"
},
{
"from": "gpt",
"value": "The employee is on break >Causes> I feel(s) annoyed"
}
] |
[
{
"from": "human",
"value": "A text is given in Gujarati. Translate it from the Gujarati language to the Marathi language. The translation must not omit or add information to the original sentence.\nQ: ભારતની પાસે જે સાંસ્કૃતિક અને જ્ઞાનની વિરાસત છે, તેને દુનિયાના ખૂણે-ખૂણા સુધી પહોંચાડવાનો વ્યાપક પ્રયાસ કરવામાં આવી રહ્યો છે.\nA: "
},
{
"from": "gpt",
"value": "भारताकडे असलेला सांस्कृतिक आणि ज्ञानाचा वारसा जगाच्या काना कोपऱ्यात पोहोचवण्याचा व्यापक प्रयत्न केला जात आहे."
}
] |
[
{
"from": "human",
"value": " Given a sentence in the English language, translate it into the Nepali language.\nQ: Text: Doctors have doubts in their minds that medical procedures that have immediate benefits could be dangerous and fatal in future.\n\nA: "
},
{
"from": "gpt",
"value": "चिकित्सकहरूको मनमा यो आशंका घर करती जा रही छ कि तात्कालिक लाभ गर्नवाली चिकित्साविधिहरू कहीं भयानक र घातक न हो जाएँ ।\n"
}
] |
[
{
"from": "human",
"value": "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.\n\n[EX Q]: Person1: Jenny , do you want to go to see a movie ? \n Person2: What's on tonight ? \n Person1: I want to see ' Click . ' \n Person2: Who is in this movie ? \n Person1: I don't know . My friend told me it was a touching movie . \n[EX A]: 0\n\n[EX Q]: Person1: How may I help you ? \n Person2: I want to return this video . \n Person1: Is that all you need ? \n Person2: I also need to check these books out . \n Person1: Anything else ? \n Person2: That ’ s everything . \n Person1: I need your library card . \n Person2: I have it . Here you go . \n Person1: Do you need anything else ? \n Person2: That ’ s everything . \n Person1: Your books are due back two weeks from today . \n Person2: Thank you . Good night . \n[EX A]: 0\n\n[EX Q]: Person1: Would you like to go skiing with me ? I heard the new ski area is great . They have safe tracks , especially for the beginners and provide free training . I think it suits you best . \n Person2: Sounds not bad ! You know , the only thing I worried about is the safety . I ’ m not an active exerciser and my muscle may be not strong enough for such an intense sport . \n Person1: Well , Then you can go to the three-day-long training camp first . There ’ re some professional teachers and they can guide you to do certain necessary exercise . \n Person2: I will think about it . \n Person1: Come on ! It is really a fun game . \n[EX A]:"
},
{
"from": "gpt",
"value": "1\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.\n\nLet me give you an example: Grazas.\nThe answer to this example can be: Gracias.\nHere is why: The Galician sentence is correctly translated into Spanish, because the meaning is preserved.\n\nOK. solve this:\nGañou un premio Pulitzer. É un bailarín do ballet ruso \"\". E medrei asumindo que todo o mundo tiña algo marabilloso oculto.\nAnswer:"
},
{
"from": "gpt",
"value": "Ella ganó un Premio Pulitzer. Él es un bailarín de ballet ruso \"\". Y crecí suponiendo que cada uno tiene algo sorprendente y oculto en sí."
}
] |
[
{
"from": "human",
"value": "In this task, you will be presented with an English sentence, and you have to translate it into Arabic.\nOne example: But if the shares belong to Geoffrey Charles, well, then George cannot touch them.\nSolution is here: لكن لو كانت الأسهم بإسم جوفري تشارلز لن يمكن لجورج المساس بهم.\nExplanation: This is a good example. The above sentence is correctly translated from English to Arabic.\n\nNow, solve this: - All fixed?\nSolution:"
},
{
"from": "gpt",
"value": "-صلحت الأمر؟"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a context and four options. Each option is a suggested ending for the context. You should read the context and pick the best ending for the context. Please answer with \"A\", \"B\", \"C\", and \"D\". \nQ: [header] How to teach yourself gymnastics [title] Make sure you're physically prepared. [step] Before you start flipping, pirouetting and standing on your head, you should work to reach a base level of physical conditioning. Build your muscular strength by performing calisthenics exercises such as push ups, pull ups, air squats and crunches. <sep> (A) [substeps] Incorporate strength training into the class to build your strength in a safe, stable, controlled way, the first step to becoming stronger is correctly completing a handstand. [title] Provide support in straddle splits. (B) [title] Familiarize yourself with stage-jumping and performing everyday gymnastics moves. [step] While jumping can be a fun part of gymnastics, even novice gymnasts often find that their body needs some extra support. (C) Go for a jog or swim laps a couple times a week to get in better cardiovascular shape. Begin stretching thoroughly every day-flexibility plays a critical role in gymnastics. (D) Weigh yourself once a week to determine your ideal level of physical exercise. [title] Pick the right stance for performing your gymnastics move.\nA: "
},
{
"from": "gpt",
"value": "C"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task you will break down a question into the basic steps required to answer it.\n A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)\n Here are the list of step templates and their description:\n 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]\n Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]\n Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]\n Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].\n Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]\n 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]\n 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] \n Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]\n Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]\n Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]\n Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]\n Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]\n Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].\n\nquestion: Out of all the objects shown in the photo how many are not metal?\n"
},
{
"from": "gpt",
"value": "#1 return objects \n#2 return #1 that are not metal \n#3 return number of #2"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.\n\n Person1: Do you know that Mary ’ s marriage is on the rocks ? \n Person2:Really ? I ’ Ve never heard of it ! \n Person1: I saw her husband have it out with her yesterday . \n Person2:I think Mary must be sad , because she loves her husband very much . \n"
},
{
"from": "gpt",
"value": "informal"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.\nSee one example below:\nProblem: Context: Chronic rhinosinusitis (CRS) is a heterogeneous disease with an uncertain pathogenesis. Group 2 innate lymphoid cells (ILC2s) represent a recently discovered cell population which has been implicated in driving Th2 inflammation in CRS; however, their relationship with clinical disease characteristics has yet to be investigated. The aim of this study was to identify ILC2s in sinus mucosa in patients with CRS and controls and compare ILC2s across characteristics of disease. A cross-sectional study of patients with CRS undergoing endoscopic sinus surgery was conducted. Sinus mucosal biopsies were obtained during surgery and control tissue from patients undergoing pituitary tumour resection through transphenoidal approach. ILC2s were identified as CD45(+) Lin(-) CD127(+) CD4(-) CD8(-) CRTH2(CD294)(+) CD161(+) cells in single cell suspensions through flow cytometry. ILC2 frequencies, measured as a percentage of CD45(+) cells, were compared across CRS phenotype, endotype, inflammatory CRS subtype and other disease characteristics including blood eosinophils, serum IgE, asthma status and nasal symptom score. 35 patients (40% female, age 48 ± 17 years) including 13 with eosinophilic CRS (eCRS), 13 with non-eCRS and 9 controls were recruited. ILC2 frequencies were associated with the presence of nasal polyps (P = 0.002) as well as high tissue eosinophilia (P = 0.004) and eosinophil-dominant CRS (P = 0.001) (Mann-Whitney U). They were also associated with increased blood eosinophilia (P = 0.005). There were no significant associations found between ILC2s and serum total IgE and allergic disease. In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (P = 0.03). ILC2s were also correlated with worsening nasal symptom score in CRS (P = 0.04).\nQuestion: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?\nSolution: As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. ILC2s are also linked with high tissue and blood eosinophilia and have a potential role in the activation and survival of eosinophils during the Th2 immune response. The association of innate lymphoid cells in CRS provides insights into its pathogenesis.\nExplanation: The output says that ILC2s are elevated in patients with CRSwNP and that they may drive nasal polyp formtion in CRS. The output also says that ILC2s are linked with blood eosinophilia and hence, it completely answers the question on the basis of the information in the context.\n\nProblem: Context: Although glucose uptake is increased in chronically hypoperfused, viable myocardium, the dynamic changes in glucose uptake relative to oxygen consumption in \"short-term\" models of hibernation have not been fully explored.', '14 anesthetized swine were instrumented with an hydraulic occluder and flow probe on the proximal LAD artery. Blood flow was reduced approximately 30% for 1 hour. Myocardial blood flow and uptake of oxygen, free fatty acids, glucose and lactate were determined in the LAD region at baseline and at 10, 30, and 60 minutes of ischemia. Transmural biopsies for ATP and creatine phosphate (CP) were obtained in the LAD region prior to and at 15 and 45 minutes of ischemia. In 5 animals, glycogen was assayed at baseline and at the end of 60 minutes of ischemia.', 'In the LAD region, myocardial oxygen consumption was reduced from 2.06 +/- 0.16 micromol/min/gram to 1.46 +/- 0.13 micromol/min/gram (P < 0.05). By 15 minutes of ischemia, transmural creatine phosphate fell from 7.48 +/- 0.76 micromol/g-wet weight at baseline to 6.19 +/- 0.32 micromol/g-wet weight (P < 0.05) but normalized by 45 minutes of ischemia (7.39 +/- 0.56 micromol/g-wet weight; NS). Between 10 and 60 minutes of constant flow reduction, glucose uptake as a percentage of MVO2 increased from 3 +/- 2% to 10 +/- 2% (P < 0.05) while lactate uptake increased from -9 +/- 9% to -1 +/- 2% (P < 0.05). Glycogen decreased from 27.8 +/- 3.7 at baseline to 16.9 +/- 1.2 micromol/g-wet weight at end-ischemia.\\Question: Does glucose uptake increase relative to oxygen consumption during short-term hibernation?\nSolution:"
},
{
"from": "gpt",
"value": "In this model of short-term hibernation, glucose and lactate uptake increase relative to oxygen consumption during sustained ischemia, and temporally coincide with the recovery of bioenergetics. The findings are consistent with the notion that glycolytically derived ATP is important for the maintainance of energy supply during sustained ischemia."
}
] |
[
{
"from": "human",
"value": "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.\nOne 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,\n. 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.\n. 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.\n.\nSolution is here: 1\nExplanation: The question refers to the 704th unit and task about war which is decribed by Passage 1.\n\nNow, solve this: Question: What city did Owen win his home debut in? Passage 1:The New Adventures of Pinocchio is a syndicated stop motion animated television series produced by Rankin/Bass Productions in the United States and made by Dentsu Studios in Japan. Created by Arthur Rankin, Jr. and his partner Jules Bass, it was based on the book The Adventures of Pinocchio written by Italian author, Carlo Collodi. The series was Rankin/Bass' first production to be made in \"Animagic\", a stop motion puppet technique which, in association with the company, was done by Tadahito Mochinaga's MOM Productions (before Mochinaga leaves for China after the finished animation for Mad Monster Party?). A total of 130 five-minute \"chapters\" were produced in 1960–61. These segments made up a series of five-chapter, 25-minute episodes. During 1963–64, the series was also aired in Japan on Fuji TV as part of another stop motion TV series, Prince Ciscorn (シスコン王子, lit. Ciscorn Ōji), based on the manga by Fujiko Fujio and also produced by Tadahito Mochinaga for Studio KAI and Dentsu.\n Passage 2:Cyrus Curtis remains #20 on the list of the richest Americans ever. He was known for his philanthropy to hospitals, museums, universities, and schools. He donated $2 million to the Franklin Institute, for example; $1.25 million to the Drexel Institute of Technology for the construction of Curtis Hall; and $1 million to the University of Pennsylvania. He also purchased a pipe organ manufactured by the Austin Organ Company that had been displayed at the Philadelphia Sesquicentennial Exposition of 1926 and donated it to the University of Pennsylvania. It was incorporated into Irvine Auditorium when the building was constructed and is known to this day as the Curtis Organ, one of the largest pipe organs in the world. (The largest is said to reside in Philadelphia's John Wanamaker Building, only twenty blocks east of Irvine Auditorium.) Curtis donated pipe organs to many institutions in Philadelphia and on the day of his funeral, all of those organs were played in his honor.\n Passage 3:He made his senior debut in a First Division clash with Wigan Athletic on 14 October 2003; he replaced Clint Hill on the 80 minute mark, as Stoke lost 2–1 at the JJB Stadium thanks to two Geoff Horsfield goals. Four days later he made a further cameo against Ipswich Town. To gain first team experience he spent the second half of the 2003–04 season on loan at Second Division side Oldham Athletic. He scored his first senior goal at Boundary Park, in a 4–1 win over Plymouth Argyle on 17 April. Upon his return to the Potteries he won his home debut at the Britannia Stadium; he played the full ninety minutes in what was a 4–1 win over West Bromwich Albion.\n\nSolution:"
},
{
"from": "gpt",
"value": "3"
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nGiven a sentence in the Japanese and Central Khmer language. Your task is check if the Khamer sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nExample: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。 \n Khamer: បណ្តាអ្នកនយោបាយនៅចក្រភពអង់គ្លេសបន្តលើកកង្វល់អំពីការបាត់បង់ ជាពិសេសព័ត៌មាន ព្រមទាំងសមត្ថភាពរដ្ឋាភិបាលក្នុងការសុវត្ថិភាពនិងប្រមូលរក្សាទិន្ន័យ។\nOutput: Yes\nThe converted Khamer sentence is correctly translated from Japanese because converted sentence has the same message as the original Japanese sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.\n\nNew input case for you: Japanese: その凍った氷帽の上に文明が存在したとしても、損傷は「軽度から中程度の間」だったろうとUSGSは言った。 \n Khamer: បើមានពពួកមានជីវិតនៅលើផ្ទាំងទឹកកក USGSនិយាយថាការខូចខាតអាចពី \"ស្រាលទៅមធ្យម។\"\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. You are given a paper review either in Spanish or English language. Based on the given review, evaluate the paper by classifying it to one of the five classes: (1) very negative, (2) negative, (3) neutral, (4) positive, and (5) very positive. Note that URLs in the text have been replaced with [Link].\n\nInteresante paper que muestra el desarrollo de un observatorio astronómico virtual con posibles importantes implicaciones para la comunidad informática nacional. A este respecto sería deseable que durante la presentación se aclarasen aspectos como ¿Está abierta la participación a otras universidades a colaborar en los desafíos que se deriven de este proyecto? ¿Está pensado trabajar con más observatorios en el futuro? ¿Qué lecciones o guías se pueden extraer de la experiencia en la implementación de los otros observatorios virtuales alrededor del mundo, y del provecho que de estos han sacado los investigadores de las ciencias de la computación?\n"
},
{
"from": "gpt",
"value": "very positive"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.\nProblem:Suboptimal adherence to antiretroviral therapy (ART) is a strong predictor of virologic failure (VF) among people with HIV. Various methods such as patient self-report, pill counts and pharmacy refills have been utilized to monitor adherence. However, there are limited data on the accuracy of combining methods to better predict VF in routine clinical settings. We examined various methods to assess adherence including pill count, medication possession ratio (MPR), and self-reported adherence in order to determine which was most highly associated with VF after > 6 months on ART.', 'We conducted a secondary analysis of data from a case-control study. At enrollment, pharmacy refill data were collected retrospectively from the medical chart, pill counts were completed to derive a pill count adherence ratio (PCAR) and a self-report questionnaire was administered to all participants. Parametric smooth splines and receiver operator characteristic (ROC) analyses were carried out to assess the accuracy of the adherence methods.', '458 patients were enrolled from October 2010 to June 2012. Of these, 158 (34.50%) experienced VF (cases) and 300 (65.50%) were controls. The median (IQR) PCAR was 1.10 (0.99-1.14) for cases and 1.13 (1.08-1.18) for controls (p < 0.0001). The median MPR was 1.00 (0.97-1.07) for cases and 1.03 (0.96-1.07) for controls (p = 0.83). Combination of PCAR and self-reported questions was highly associated with VF.\nSolution:"
},
{
"from": "gpt",
"value": "Is the combination of pill count and self-reported adherence a strong predictor of first-line ART failure for adults in South Africa?"
}
] |
[
{
"from": "human",
"value": "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 PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. 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.\nQ: Head: PersonX follows the ___ exactly<sep>Tail: to read the course\nA: "
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Spanish.\nSee one example below:\nProblem: Qui c'è la medusa mortale con le ali ad X.\nSolution: Aquí esta la medusa ala-x de la muerte.\nExplanation: The Italian sentence is correctly translated into Spanish, because the meaning is preserved.\n\nProblem: Prima dobbiamo farlo volare.\nSolution:"
},
{
"from": "gpt",
"value": "Primero tenemos que volarlo."
}
] |
[
{
"from": "human",
"value": "This task is about translating a given English language sentence to Yoruba language.\n\nInput: Consider Input: It is within Ifá that one finds Fátúmọ̀.\n\nOutput: Ní inú Ifá ni Fá-túmọ̀-ọ́ wà.\n\n\nInput: Consider Input: Members of the United States Branch Committee are planning to visit the affected areas to provide comfort and support.\n\nOutput: Àwọn tó wà nínú Ìgbìmọ̀ Ẹ̀ka ọ́fíìsì wa lóríllẹ̀-èdè Amẹ́ríkà ti ń ṣètò bí wọ́n ṣe máa lọ ṣèbẹ̀wò sáwọn àgbègbè tí ìjì náà ti ṣọṣẹ́ kí wọ́n lè tù wọ́n nínú, kí wọ́n sì ṣètìlẹ́yìn tó bá yẹ fún wọn.\n\n\nInput: Consider Input: Letter-Writing Campaign for Our Brothers in Russia—From Malawi\n\n"
},
{
"from": "gpt",
"value": "Output: Àwa Ẹlẹ́rìí Jèhófà Kọ Lẹ́tà Nítorí Àwọn Ará Wa ní Rọ́ṣíà—Láti Màláwì\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label \"Yes\" if the translation is correct, otherwise generate label \"No\".\nQ: Swedish: Unionen kan inte uppnå sina miljömål om man inte aktivt ökar användningen av förnybara energikällor. \n English: Today, nearly half of all reservations no longer go through a CRS but are made on internet sites or through airline call centres.\nA: "
},
{
"from": "gpt",
"value": "No"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.