Split (1)

train · 7.56M rows

Search is not available for this dataset

conversations listlengths 2 2
[ { "from": "human", "value": "Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Farsi.\nNunca o esquecín.\nA:" }, { "from": "gpt", "value": "یک طرفش را حرارت میدهید ، طرف داغ را." } ]
[ { "from": "human", "value": "In this task, you are given a text of the article. Your task is to generate a headline (title) for this article.\n\nEx Input:\nthai commerce minister adisai bodharamik revealed that the association of southeast asian nations -lrb- asean -rrb- and japan would form a free trade area by #### in an agreement to be signed during the asean summit to be held in bali , indonesia , on oct. # , the bangkok post reported saturday .\n\nEx Output:\nasean UNK to sign fta agreement in bali summit : minister\n\n\nEx Input:\nfor years , politicians from presidents to city council members have believed they could win tens of thousands of orthodox jewish votes if they captured the support of just one group : the council of jewish organizations of borough park , a collective of social service agencies .\n\nEx Output:\ninquiries focusing on government funds for jewish council\n\n\nEx Input:\njust as germany comes under pressure to do more to jumpstart the world 's third biggest economy , party politics is rearing its ugly head and undermining berlin 's efforts to weather a sharp global slowdown .\n\nEx Output:\n" }, { "from": "gpt", "value": "party politics undermine german economic defences\n\n\n" } ]
[ { "from": "human", "value": "TASK DEFINITION: Given a post that is a real-life anecdote of a complex ethical situation and an associated claim about its type, verify if the claim is true or not. The claim asks if the posts are historical or hypothetical. The posts are \"HISTORICAL\" when the author has already done something and they are \"HYPOTHETICAL\" when the author is considering doing something in the future. Say 'yes' if the claim is true otherwise say 'no'\nPROBLEM: CLAIM : The following post is HISTORICAL. POST : So recently our Video Production teacher learned of some students vaping habits in class, and decided to let the class know to tell him about anybody that Vaped. Well I decided to tell him about someone (privately) and now apparently other people think I was the one who started the whole ordeal and now our teacher is going to have the class drug tested.\n\nThe issue with that is that 90% of the higher grades and the upperclassmen are drinkers/smokers/vapers and I know that they will fail, and will probably hate me, so Reddit, am I the asshole?\n\nSOLUTION: yes\n\nPROBLEM: CLAIM : The following post is HISTORICAL. POST : So my family is strange in the ways. My parents are split and my mom who is single works for most of the day. Because of this I come on my school bus to my grandparents who are very kind and caring. I spend more time with them in their house then my moms (doesn’t mean I love her less). Now here’s the thing I’ve been noticing: she treats me differently with her parents around apposed to how she treats me without them around. One example of this and the most recent one is that I made a minor mistake in school about a teacher I dislike. I’ve complained and vented about this teacher before to my mom and she agreed with me for most of the time so this surprised me. While talking and explaining how this teacher was unfair, my mom blurred in very sassy-like saying how the student should listen to the teacher no matter what. Then, she looked at her parents as if she was looking for some sort of agreement or approval. I was confused, shocked, and felt kind of betrayed. Next, my mother started lecturing me on how teachers sometimes have a rough time with students and that it can probably get annoying (my mom is not a teacher). My grandparents then agreed with her slightly although my grandfather didn’t seem much in agreement. I stormed off into my room later that night once my mother and I were alone and yelled at her saying that she acts like the way kids do when they treat others differently when their friends are around. \n\nSo people of reddit, Am I the Asshole?\n\nSOLUTION: yes\n\nPROBLEM: CLAIM : The following post is HISTORICAL. POST : I'm M25, she's F26 and we've been together for 3.5 years now. I am brown and she's white to give more context. Since I moved out at 23, and into my own place I've been giving my parents around 1k-1.25k a month to help them out. They need the money and I make around 150k a year so I can afford it. Sometimes I give them more depending on situations etc. My gf hates this and always tells me to cut them off and that they're problems shouldn't be mine and how they're bleeding me dry. But my parents need the money for their mortgage, bills etc and they're in their late 50's to 60's now so they can't just supplement their income like that. I told her its a cultural thing and that I being a South Asian son have a duty to take care of my parents, which I truly believe I do. My parents raised me from nothing and I've always wanted to be where I am now in life to help them out and make their lives better. \n\nLast week my gf and I were talking about this again and about marriage etc, she brings up the fact that I need to stop helping out my parents so we can save more for a house and a wedding, vacations etc. I told her that I can't do that because my parents don't earn a lot and need the money. She got really mad and we argued about how they're \"toxic\" and how her parents never have and never would ask her for money and that I've been giving money to my parents since I was 16. I just told her white people are different and her parents are wealthy so they never knew and she doesn't know what the struggle is like. She basically ended the convo saying its either them or her and on Friday after a few days of hard thinking I broke up with her and told her why. \n\nShe was super mad/sad calling me all sorts of names and that no girl would sit by and watch me waste my money like that. Called me an asshole mama's boy etc etc and it was really sad for me too. I love her but I love my parents more and I can't stop supporting them. \n\n&#x200B;\n\nAITA?\n\nSOLUTION:" }, { "from": "gpt", "value": "yes\n\n" } ]
[ { "from": "human", "value": "In this task, you are given a context paragraph, a question based on that and corresponding answer of a question. Your task is to generate supporting fact/knowledge from context paragraph which helps in answering a given question.\n\nLet me give you an example: North Willingham is a village and civil parish in the West Lindsey district of Lincolnshire, England. The population of the civil parish (including Sixhills) was 181 at the 2011 census. It is situated 3.5 mi east from the town of Market Rasen on the A631 road between Market Rasen and Louth. Question: Which had a bigger population at the 2011 census, North Willingham or Market Rasen? Answer: Market Rasen\nThe answer to this example can be: Fact_1: North Willingham is a village and civil parish in the West Lindsey district of Lincolnshire, England. Fact_2: The population of the civil parish including Sixhills was 181 at the 2011 census.\nHere is why: Here, we can see that both generated facts are helpful in answering question.\n\nOK. solve this:\nIannis Smaragdis (Greek: Γιάννης Σμαραγδής ) is a Greek film director. Question: Are Yannis Smaragdis and Simon West both film directors? Answer: yes\nAnswer:" }, { "from": "gpt", "value": "Iannis Smaragdis Greek: Γιάννης Σμαραγδής is a Greek film director." } ]
[ { "from": "human", "value": "Translate the given Spanish text to English\n\nEx Input:\nAccordingly, the proteins encoded by the amplified genes are believed to be useful targets for the diagnosis and/or treatment (including prevention) of certain cancers, and may act as predictors of the prognosis of tumor treatment.\n\nEx Output:\nEn consecuencia, se considera que las proteinas codificadas por los genes amplificados son objetivos utiles para el diagnostico o tratamiento (incluyendo prevencion) o ambos de ciertos canceres y pueden actuar como elementos de prediccion del pronostico del tratamiento tumoral.\n\n\nEx Input:\nThe sexual intercourse safety is maintained as the device protects against infections and unwanted pregnancies.\n\nEx Output:\nLa seguridad del acto sexual se mantiene en cuanto se protege de contagios o embarazos no deseados.\n\n\nEx Input:\nThe sheet material is then conveyed for further processing including removal of the blanks from the sheet material and formation into the final product.\n\nEx Output:\n" }, { "from": "gpt", "value": "El material laminar es luego transportado para procesamiento adicional incluyendo remoción de la preforma del material laminar y formación al producto final.\n\n\n" } ]
[ { "from": "human", "value": "In this task, you have to generate the title of the recipe given its required ingredients and directions.\nOne example is below.\nQ: ingredients: '1 cup minced onion', '1 1/2 tablespoons lemon juice', '3/4 teaspoon Hungarian paprika', '3/4 teaspoon ground cayenne pepper', '1/4 teaspoon salt', <sep> directions: 'Rinse onions in sieve under cold running water; drain.', 'Mix together ingredients in a small bowl; allow flavors to meld over 1 hour period before serving.', 'Serve as table condiment with Indian foods, samosas, pakoras, along with other chutneys.'\nA: Indian Hot Onion Relish\nRationale: By knowing the ingredients and its recipe, the title of the dish is predicted correctly.\nQ: ingredients: '5 tablespoons sugar', '1/2 - 1 teaspoon ground cinnamon', '1/2 teaspoon ground nutmeg', '1/2 teaspoon ground ginger', '1/2 teaspoon ground cardamom', '1/2 teaspoon ground coriander',<sep> directions: 'For a gift: Layer in a 1/3-1/2 C clear, narrow jar.', 'To use: Stir spices and shake on what ever you like.'\nA:" }, { "from": "gpt", "value": "5 Spice Sugar" } ]
[ { "from": "human", "value": "Teacher:You are given a sentence in Galician. Your job is to translate the Galician sentence into Spanish.\nTeacher: Now, understand the problem? Solve this instance: E é algo incrible, porque resulta que somos moi bos nas accións colectivas con tecnoloxías dixitais.\nStudent:" }, { "from": "gpt", "value": "Y eso es muy bueno porque resulta que somos muy buenos para la acción colectiva con la tecnología digital." } ]
[ { "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 arrives home<sep>Tail: relieved\nA:" }, { "from": "gpt", "value": "No" } ]
[ { "from": "human", "value": "Given the task definition, example input & output, solve the new input case.\nA text is given in Tamil. Translate it from the Tamil language to the Telugu language. The translation must not omit or add information to the original sentence.\nExample: இந்தியா அல்லது உஸ்பெகிஸ்தானிடமிருந்து அறிவிப்பு வந்த நாளிலிருந்து ஆறு மாதத்திற்கு பிறகு இந்த ஒப்பந்தம் காலவதியாகிவிடும்\nOutput: భారతదేశం లేదా ఉజ్బెకిస్తాన్ నుండి ప్రకటన తర్వాత రోజు నుండి ఆరు నెలల తరువాత, ఈ ఒప్పందం సకాలంలో ఉంటుంది\nCorrect translation for given sentence. Input sentence means 'After six months from the day after the announcement from India or Uzbekistan, this agreement will be timely' which is the same as the output sentence.\n\nNew input case for you: இந்த அம்சங்கள் மூலமாக நாட்டின் பொருளாதாரத்துக்கு நாம் உதவிட முடியும்.\nOutput:" }, { "from": "gpt", "value": "ఈ మాధ్య‌మాల ద్వారా మ‌నం దేశ ఆర్థిక వ్య‌వ‌స్థకు కూడా స‌హాయం చేయ‌గ‌లం." } ]
[ { "from": "human", "value": "This task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as \"span\". If the answer is a number, label as \"number\". Similarly, label \"date\" if you think the answer to the given question is a date.\n\nExample Input: Passage: Over the centuries, Weimar remained a small town of less than 5,000 inhabitants. When it became the capital of Saxe-Weimar in 1572, population growth was stimulated and population increased from 3,000 in 1650 to 6,000 in 1750. Around the year 1800, Weimar had 7,000 inhabitants. Their number grew constantly over the years to 13,000 in 1850, 28,000 in 1900 and 35,000 at the beginning of World War I. During the interwar period, the new capital of Thuringia saw a population boom, which led to 65,000 inhabitants in 1940. Since that time, the population levels have stagnated. The years 2009 to 2012 brought a moderate growth of approximately 0.35% p. a., whereas the population in bordering rural regions is shrinking with accelerating tendency. Suburbanization played only a small role in Weimar. It occurred after the reunification for a short time in the 1990s, but most of the suburban areas were situated within the administrative city borders.\nQuestion: Which year were there more people living in Weimar, 1850 or 1900?\nExample Output: date\n\nExample Input: Passage: The situation became more complicated with the landing in Murmansk of 130 British Royal Marine Light Infantry on 6 March to prevent the Germans from gaining the White Sea coast and the Murmansk Railroad. By June 1918, an assortment of British Royal Marines, French artillerymen, part of a Serb battalion, Poles, Red Russians from the Murmansk Soviet, and some Red Finns occupied the railway line from Murmansk south as far as Kem. The arrival of British reinforcements and an Allied plan for them to link up with anti-Bolshevik units in Siberia prompted Trotsky, now at peace with the Germans, to send 3,000 Red troops northwards. In July these troops were disarmed and seen off by the British, who advanced as far south as Sorokka. British-led forces defending the railway line included a battalion of 1,400 Red Finns and the Karelian regiment also known as the \"Irish Karelians\" after Colonel P.J. Woods of the Royal Irish Rifles who raised and led the regiment formed of the local Karelians. The situation of the Viena expedition began to deteriorate. The Karelian regiment stationed in Kem attacked the Finnish troops at Jyskyjärvi on 27 August. 18 men were lost. The next attack came against Luusalmi on 8 September when 42 Finns were killed. Subsequent battles were fought at Kostamus and Vuokkiniemi in September-October. The Finnish troops withdrew to Finland on 2 October. Of these troops, 195 survived and made their way home; 83 were killed. The British forces withdrew in October 1919 and the situation of the Russian White Army collapsed.\nQuestion: Which attack saw more casualties, the attack on 27 August or the attack on 8 September?\nExample Output: date\n\nExample Input: Passage: Trying to snap a five-game losing streak, the Rams stayed at home for a Week 13 interconference duel with the Miami Dolphins. The Rams would welcome back Steven Jackson to the lineup after weeks of sitting out with a thigh injury. Jackson gave the Rams a good enough boost to strike first with a first possession field goal by Josh Brown from 23 yards. Brown would kick a 51-yard field goal to give the Rams a 6-0 lead. In the second quarter, the Dolphins responded as RB Ronnie Brown got a 3-yard TD run. The Rams would answer with Brown making a 33-yard field goal, but Miami replied with kicker Dan Carpenter getting a 37-yard field goal. In the third quarter, the Dolphins increased their lead as Carpenter got a 47-yard field goal. In the fourth quarter, St. Louis tried to keep up as Brown made a 38-yard field goal, yet Miami answered right back with Carpenter nailing a 42-yard field goal. The Rams tried to come back, but a late-game interception shattered any hope of a comeback.\nQuestion: How many yards were accumulated across all field goals completed?\nExample Output:" }, { "from": "gpt", "value": "number\n\n" } ]
[ { "from": "human", "value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.\nOne example: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.\nSolution is here: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.\nExplanation: The Galician sentence is correctly translated into Polish, because the meaning is preserved.\n\nNow, solve this: E funcionan.\nSolution:" }, { "from": "gpt", "value": "I to działa." } ]
[ { "from": "human", "value": "You will be given a definition of a task first, then some input of the task.\nIn this task, you are given a sentence in English, and your task is to translate it into Persian.\n\nlets have a nice , calm discussion .\nOutput:" }, { "from": "gpt", "value": "حالا بيا آروم و قشنگ با هم حرف بزنيم ." } ]
[ { "from": "human", "value": "Teacher:In this task, you are given a news article. Your task is to classify the article to one out of the four topics 'World', 'Sports', 'Business', 'Sci/Tech' if the article's main topic is relevant to the world, sports, business, and science/technology, correspondingly. If you are not sure about the topic, choose the closest option. Note that URLs in the text have been replaced with [Link].\nTeacher: Now, understand the problem? Solve this instance: Carter out at least two games with Achilles #39; injury) TORONTO Toronto Raptors guard Vince Carter will miss at least two games because of a strained left Achilles #39; tendon. Carter was injured in the second half in last night #39;s 90-to-86 overtime loss at Detroit.\nStudent:" }, { "from": "gpt", "value": "Sports" } ]
[ { "from": "human", "value": "Detailed Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Spanish.\nProblem:正直に言うと私は性格的にそんなに泣く方ではありません\nSolution:" }, { "from": "gpt", "value": "Para serles honesto, por personalidad, no soy muy llorón." } ]
[ { "from": "human", "value": "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 Head is used for the Tail or not. The usage describes everyday affordances or uses of objects and includes both typical and atypical uses. For example, a popcorn bucket can typically be used to hold popcorn, but it could also serve as a hat in atypical situations. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nInput: Head: hat<sep>Tail: protect head from snow\nOutput:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "Instructions: Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.\nInput: Tu ferais du vélo parce que tu n'as pas de voiture.\nOutput:" }, { "from": "gpt", "value": "Vous imaginez un vélo parce que vous n'avez pas de voiture." } ]
[ { "from": "human", "value": "Given the task definition, example input & output, solve the new input case.\nIn 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).\nExample: Jag förklarar debatten avslutad.\nOutput: The debate is closed.\nSwedish sentence is properly converted into English sentence.\n\nNew input case for you: Arabvärldens Israelkritik har byggt på samma sorts antikolonialism som exempelvis Algeriets frihetskamp mot Frankrike.\nOutput:" }, { "from": "gpt", "value": "The Arab world' s criticism of Israel has been founded upon the same sort of anti-colonialism as, for example, Algeria' s fight for freedom against France." } ]
[ { "from": "human", "value": "Given the task definition, example input & output, solve the new input case.\nYou are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.\nExample: \"אז,\" אמרתי, \"זה כמו חלום?\" והיא אמרה, \"\" לא, זה לא כמו חלום. זה כמו סרט. \"\" היא אמרה, \"\" יש בו צבעים. יש בו תנועה.\nOutput: Pregunteille: \"\" É coma un soño? \"\" E dixo: \"\" Non, non é coma un soño. É coma unha película. Ten cor. Ten movemento.\nThe Hebrew sentence is correctly translated into Galician, because the meaning is preserved.\n\nNew input case for you: מספר שמונה: המנעו מהפרטים.\nOutput:" }, { "from": "gpt", "value": "Número 8: Eviten as malas herbas." } ]
[ { "from": "human", "value": "You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.\n\nQ: ובזמן שעברתי את תהליך האבל, נדהמתי מכך שלא רציתי לראות אף אחד.\n\nA: در حین اینکه داشتم دوران سوگواری را طی میکردم ، از اینکه نمیخواستم کسی را ببینم متحیر شدم.\n**\nQ: אך כשאנו עושים זאת, אנו מפספסים הרבה מדרך הפעולה של הטבע.\n\nA: اما وقتی چنین فرضی داشته باشیم ، دچار اشتباه نادیده گرفتن بخش بزرگی از طبیعت شده\n\nQ: למשל, לוח השנה הימי הזה פירסם את השינויים במופע הירח בכל חודש בשנה.\n\nA:" }, { "from": "gpt", "value": "منظورم این است که ، این سالنامه دریایی اختلافات قمری را برای هر ماه از سال منتشر می ‌ کرد.\n**\n" } ]
[ { "from": "human", "value": "In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be seen as what is mentioned in the Tail or not. In this task, PersonX will be seen as the Tail if the Tail describes PersonX's persona or attribute as perceived by others given an event. In the gift-giving example, X may be seen as generous or giving. In contrast, in an event such as PersonX steals a car, PersonX may be perceived as evil. 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.\nOne example is below.\nQ: Head: PersonX gives PersonY the number<sep>Tail: Adventurous\nA: Yes\nRationale: This is a good example. As a result of the Head, PersonX will be seen as Adventurous.\nQ: Head: PersonX achieves ___ by means<sep>Tail: rank\nA:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "In this task, you are given a sentence in English, and your task is to translate it into Persian.\n\nwhat are you doing! get moving now!" }, { "from": "gpt", "value": "داري چه کار مي کني ؟همين حالا حرکت کن" } ]
[ { "from": "human", "value": "You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.\n\nQ: Piensen en la alegría colectiva en Gran Bretaña el día en que finalizó la Segunda Guerra Mundial.\n\nA: Pomyślmy o zbiorowej radości w Wielkiej Brytanii w dniu zakończenia II wojny światowej\n**\nQ: Y con el arroyo me gustaría proponer una metáfora de la relación entre la actividad neuronal y la conectividad.\n\nA: Zobaczcie w tym strumieniu metaforę Zobaczcie w tym strumieniu metaforę zależności między aktywnością neuronową i połączeniami między komórkami.\n\nQ: Realmente no tiene sentido escuchar música si no suena bien.\n\nA:" }, { "from": "gpt", "value": "Niewiele sensu ma słuchanie muzyki, jeśli wam się nie podoba.\n**\n" } ]
[ { "from": "human", "value": "Detailed Instructions: In this task, you are given a text of many news articles seperated by special token \"\|\|\|\|\|\". Your task is to summarize them.\nSee one example below:\nProblem: A photo series on the popular Humans of New York Facebook page may have went viral and captured the nation’s attention last Tuesday, but for Daniel Kang, the post really hit home. \n \n When Kang, a junior studying computer science at the University of Michigan, heard that the refugee pictured and his family were relocating to his hometown of Troy, Mich., he said he knew he had to help. \n \n “I was really inspired by how intelligent he was and I knew a lot of people wanted to welcome him, so I thought, why not it be me?” he said. \n \n On the Humans of New York Facebook page with over 16 million likes — including comments from President Obama — the seven-part picture series’ captions detail one Syrian scientist and his family’s tale of loss after a missile strike destroyed their home, forcing them to to flee to Turkey, now with plans of coming to the United States. \n \n “Everything ended for us that day. That was our destiny. That was our share in life,” the scientist said. Battling stomach cancer, the loss of a home, career and seven family members, the man, whose name remains confidential to protect his identity as a refugee, expressed his hope for a new life in the United States. \n \n “I learned today that I’m going to Troy, Michigan,” he said. “I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science. I just want to get back to work. I want to be a person again. I don’t want the world to think I’m over. I’m still here.” \n \n Knowing that refugees come to the United States with little more than they can carry, Kang quickly organized a crowdfunding campaign to help establish the man in his new home. \n \n In four days, the GoFundMe page has raised over $16K in donations from over 700 people. On Saturday afternoon, actor Edward Norton also began a fundraiser for the scientist, raising even more for the refugee who says he “just wants to be a person again.” \n \n “The response has been overwhelmingly positive,” said Kang. “A lot of people thanked me for doing a nice thing but I really feel like I was doing what anyone else would have done.” \n \n Kang said he’s received many messages from people expressing their gratitude, those who want to reach out to the man personally, as well local companies interested in working with the scientist. This includes invitations to lecture at local colleges, research job opportunities and potential help from local medical facilities in treating the man’s stomach cancer. \n \n “There’s definitely a lot of interest in helping him out,” he said. \n \n The biggest concern, said Kang, are those skeptical of how the money will reach the man. \n \n Kang, who has successfully crowdfunded in the past, is working closely with GoFundMe, the local refugee relocation agency Lutheran Social Services of Michigan, and is in communication with the Humans of New York staff to make sure all funding goes to the scientist. \n \n In the end, Kang said he just hopes the scientist receives the welcome he deserves. \n \n “If I could talk to him right now, I’d just tell him how sorry I am for everything he’s been through and that he’s coming to a great place. One of the things he said that resonated with me the most is that ‘I hope Troy is a place that appreciates science.’ \n \n I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist and we can’t wait to have him.” \n \n Oona Goodin-Smith is a student at Oakland University and a member of the USA TODAY College contributor network. \|\|\|\|\| I saw this story on one of my favorite sites, Humans of New York, and it moved me to tears. This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world. If we don’t welcome people like this into our communities and empower his dream of making an impact with his life, then we’re not the country we tell ourselves we are. Let’s reject the 'anti-human’ voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let’s show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life. \n \n Everything we raise here will go to help this family so that the father can get the medical treatment he needs to live and pursue his work, and his family can build a new stable life after their tragedy, and…as the Scientist beautifully expresses…to support his dream of contributing to the world. \n \n Thanks to Humans of New York for sharing these stories. Thanks to the team at CrowdRise for putting this together and figuring out how to get even the credit card transaction fees covered so we can get the maximum to the family. \n \n Thanks to everyone who rallies together to create the power of the crowd. If enough of us kick in the price of two frappucinos, we can probably transform the experience of this family and show them that life can deliver healing and kindness, not just heartbreak. \n \n Thanks to Benevolent, all donations are tax-deductible. We will work with Benevolent to use all donated funds to help this family and will seek to use any excess or unused funds to help the other 11 profiled in the HONY ‘Syrian American’ series. \n \n Edward Norton \|\|\|\|\| DETROIT, MI -- Moved to tears by a Humans of New York feature on a Syrian refugee fleeing to Metro Detroit, Hollywood actor Edward Norton launched an online fundraiser that had raised nearly $450,000 for the widower and his four children as of Thursday afternoon. \n \n \"I didn't hear about it, but I want to thank him very much from the humanity perspective,\" the man told NBC News after hearing about the fundraiser's success. \"There are people outside who need that money much more than me.\" \n \n The man asked NBC to refer to him as \"Abu Ammar,\" a fake named used to protect his relatives who remain in Syria. He's known to many on the Internet simply as \"The Scientist,\" which is also his profession. \n \n The refugee's family was scheduled to arrive in Troy, a Detroit suburb, Thursday. He and four surviving children spent the last two years in Instanbul, Turkey. They fled civil-war-torn Syria after the man's wife and one of his daughters were killed in a missile attack on April 6, 2013. \n \n His is one of 12 families featured by Humans of New York and cleared to resettle in the U.S. \n \n \"I learned today that I'm going to Troy, Michigan,\" the man told Humans of New York. \"I know nothing about it. I just hope that it's safe and that it's a place where they respect science. I just want to get back to work. I want to be a person again. I don't want the world to think I'm over. I'm still here.\" \n \n The story made rounds throughout the Internet and even garnered a response from President Barack Obama's official Facebook page: \n \n As a husband and a father, I cannot even begin to imagine the loss you've endured. You and your family are an inspiration. I know that the great people of Michigan will embrace you with the compassion and support you deserve. Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here. Welcome to your new home. You're part of what makes America great. \n \n ,Norton, known for his roles in movies like \"Fight Club\" and \"Birdman,\" wrote in the description of his online fundraiser: \n \n If we don't welcome people like this into our communities and empower his dream of making an impact with his life, then we're not the country we tell ourselves we are. Let's reject the 'anti-human' voices that tell us to fear refugees and show this man and his family what Americans are really made of. Let's show that a country built by the energy and dreams of immigrants still believes in brave people who come here with hope for better life. \n \n (6/7) “I had no problems before the bombing. I think the cancer came from my sadness and my stress. It’s in my... Posted by Humans of New York on Tuesday, December 8, 2015 \|\|\|\|\| ISTANBUL — The grieving refugee who touched hearts as \"The Scientist\" on the Humans of New York blog only mustered a brief smile when told that a Hollywood star had helped raise $450,000 for him. \n \n Hours before flying to Michigan to start a new life in the U.S. on Thursday, the cancer-stricken Syrian civil engineer glanced down. \n \n \"I didn't hear about it, but I want to thank him very much from the humanity perspective,\" he said after NBC News revealed the crowdfunding appeal. Oscar-nominated actor Edward Norton was moved to tears after reading the refugee's biography on the photography site last week and launched the fundraiser. \n \n \"There are people outside who need that money much more than me,\" The Scientist said, displaying the sort of compassion and humility that helped his story go viral. \n \n The Scientist, who asked NBC News to refer to him as \"Abu Ammar\" to protect family in Syria, said his life was shattered by a bomb that killed his wife and daughter just under three years ago. \n \n He was later diagnosed with stomach cancer, and has had to care for five remaining children. \n \n They include a teenage son, who is still reeling after watching his mother die, and a daughter who carries inside of her shrapnel from the attack on April 6, 2013. \n \n \"When a bomb drops you don't know where it comes from,\" he said. \"There is no question our lives changed after that ... 180 degrees. I am mentally tired, in overwhelming sadness.\" \n \n “ As long as there are good people in the world … then we can stop this bloodshed” \n \n On Thursday, Abu Ammar and four of his children flew to Troy, Michigan, as part of a United Nations refugee resettlement program. \n \n For about two years, the family had been living close to destitution in Turkey. But the drive to succeed still lingers, Abu Ammar said. \n \n \"I've had ambitions since I was a child, and right now I'm still that same child with the same ambitions,\" he said. \"But I still have a message — sometimes when I'm talking to myself I say, 'No, I'm not supposed to die. I need to live long enough to realize my message to humanity.'\" \n \n Abu Ammar's story on Humans of New York, a popular blog started in 2010 that spawned a bestselling book, prompted an outpouring of compassion. Even President Barack Obama contributed, calling Abu Ammar and his family an \"inspirations\" on HONY's Facebook page. \n \n \"Yes, you can still make a difference in the world, and we're proud that you'll pursue your dreams here.\" Obama wrote. \"Welcome to your new home. You're part of what makes America great.\" \n \n Last night President @BarackObama wrote a very sweet welcome note to the scientist in Tuesday's story. pic.twitter.com/ZGrn3gOdR7 — Brandon Stanton (@humansofny) December 10, 2015 \n \n Norton, who starred in \"Birdman,\" \"Fight Club\" and \"American History X,\" set out to help pay The Scientist's medical expenses. \n \n \"This man has suffered profound loss that would crush the spirit of many people and yet he still passionately wants a chance to contribute positively to the world,\" Norton wrote. \n \n The resettlement of Syrian and Muslim refugees in the United States is controversial, especially in the aftermath of attacks by Islamic extremists in Paris and San Bernardino. Some politicians — notably GOP presidential hopeful Donald Trump — have called for a ban on Muslims entering the country. \n \n Abu Ammar told NBC News he didn't know anything about the debate over Muslims and immigration raging in the U.S. He also didn't have a solution to the war raging in his home country. \n \n \"I don't like to get into politics because I am a man of science, and I can separate science and politics completely,\" he said. \"But as long as there are good people in the world, and everyone looks into his or her conscience, then we can stop this bloodshed.\" \n \n Abu Ammar added: \"No one benefits from people dying, and wars overall never benefit anybody — so let's hope God can help everyone and put out this fire.\" \|\|\|\|\|\nSolution: A Syrian refugee whose moving story went viral earlier this month starts his new life in Troy, Michigan, on Thursday, NBC News reports. The refugee—who wants to keep his real name out of the media to protect family members still in Syria—is known as \"The Scientist\" on the blog Humans of New York, where he was first profiled. \"I learned today that I’m going to Troy, Michigan,\" The Scientist told HONY. \"I know nothing about it. I just hope that it’s safe and that it’s a place where they respect science.\" According to MLive, The Scientist left Syria in 2013 after a bomb killed his wife and one of his daughters. Since then, he's been diagnosed with stomach cancer and was barely scraping by in Turkey. Despite being \"in overwhelming sadness,\" he and his surviving children are hoping for a new start in the US, he tells NBC. Thanks to his story—which even got the attention of President Obama—The Scientist will have some help to get that new start. NBC reports actor Edward Norton was moved to tears after reading The Scientist's story and started a crowdfunding page that has raised nearly $450,000. \"I didn't hear about it, but I want to thank him very much from the humanity perspective,\" The Scientist says. \"There are people outside who need that money much more than me.\" A Michigan college student was also inspired to help after hearing The Scientist would be moving to his hometown, according to USA Today. His fundraising page has raised more than $16,000. \"I’d say out of all the cities in Michigan, Troy is the best place to raise a family, be a scientist, and we can’t wait to have him,\" Daniel Kang says.\nExplanation: This is a good example. The output correctly summarizes the articles.\n\nProblem: The seed for Wide00014 was: \n \n - Slash pages from every domain on the web: \n \n \n \n \n \n -- a ranking of all URLs that have more than one incoming inter-domain link (rank was determined by number of incoming links using Wide00012 inter domain links) \n \n \n \n -- up to a maximum of 100 most highly ranked URLs per domain \n \n - Top ranked pages (up to a max of 100) from every linked-to domain using the Wide00012 inter-domain navigational link graph \|\|\|\|\| Mankato, MN (56001) \n \n Today \n \n Mainly cloudy with snow showers around this morning. High around 15F. Winds WNW at 10 to 20 mph. Chance of snow 40%.. \n \n Tonight \n \n A few passing clouds, otherwise generally clear. Low around -10F. Winds NW at 10 to 15 mph. \|\|\|\|\|\nSolution:" }, { "from": "gpt", "value": "One Minnesota dog has apparently learned a new trick: how to drive a semi-truck, the AP reports. Customers at a gas station in Mankato saw a golden Labrador retriever appear to drive the semi across a road on Friday. Police say the idling truck apparently was put into gear, then went through a parking lot, across the street, and over a curb. According to the Free Press of Mankato, a passer-by discovered the dog sitting in the driver's seat when he jumped into the truck to stop it. A man in the gas station heard the truck smash into a tree and a parked car. He couldn't see the driver, but he saw the dog climb up near the driver's side. Police say the driver had left the unoccupied truck running in a nearby parking lot." } ]
[ { "from": "human", "value": "Teacher:In this task, you will be shown a Persian passage and a question, and you have to determine whether the question is answerable based on the passage or not. If the question is answerable, choose the \"True\" label, and if not select \"False\"\nTeacher: Now, understand the problem? Solve this instance: افسانه جومونگ (با نام اصلی: کتابچه سه امپراتوری) سریال تلویزیونی تاریخی است که از آوریل ۲۰۰۶ تا مارس ۲۰۰۷ میلادی در شبکه کره‌ای ام‌بی‌سی به نمایش درآمد. این سریال در ایران با نام افسانه جومونگ پخش شده و داستان آن در مورد زندگی جومونگ بنیان‌گذار گوگوریو است که از سال ۳۷ (پیش از میلاد) تا سال ۶۶۸ (میلادی) بر منچوری و بخش شمالی شبه‌جزیره کره حکومت می‌کرد. بنا بود مجموعه در ۶۰ قسمت پخش شود که با استقبال مردم، ام‌بی‌سی آن را به ۸۱ قسمت افزایش داد. حق پخش تلویزیونی این سریال به قیمت ۸ میلیون دلار در مارس ۲۰۰۶ به شبکه‌های محلی در ژاپن، تایوان، هنگ کنگ، ویتنام، تایلند، سنگاپور، فیلیپین، مالزی و برونئی فروخته شد. این سریال از شبکه AZN در آمریکا به نمایش درآمد. ترجمهٔ این سریال در ایران تا قسمت نهم از زبان کره‌ای صورت گرفت و مابقی قسمت‌ها از روی زیرنویس انگلیسی ترجمه شدند. در ادامهٔ این سریال، مجموعه سرزمین بادها به عنوان جومونگ ۲ ساخته شد و پس از آن مجموعه جا میونگ گو به عنوان جومونگ ۳ ساخته شد. \n Question: چیستی افسانه جومونگ را بیان کنید؟\nStudent:" }, { "from": "gpt", "value": "True" } ]
[ { "from": "human", "value": "In this task, you are given a set of context paragraphs, some supporting facts and an answer of a question. Your task is to generate question for given answer based on set of context paragraphs, supporting facts and an answer.\n\nExample Input: Context_1 : Laurence Bataille (1930–1986) was a French psychoanalyst and writer. She was the only daughter of the writer Georges Bataille and the actress Sylvia Bataille. Context_2 : Sylvia Bataille (1 November 1908 – 23 December 1993) was a French actress, born Sylvia Maklès in Paris (where she also died), of Romanian-Jewish descent. When she was twenty, she married the writer Georges Bataille with whom she had a daughter, the psychoanalyst Laurence Bataille (1930–1986). Georges Bataille and Sylvia separated in 1934 but did not divorce until 1946. Starting in 1938, she was a companion of the psychoanalyst Jacques Lacan with whom, in 1941, she had a daughter, Judith, today Judith Miller. Sylvia Bataille married Jacques Lacan in 1953. Context_3 : David John Lodge CBE (born 28 January 1935) is an English author and literary critic. A professor of English Literature at the University of Birmingham until 1987, he is best known for novels satirising academic life, particularly the \"Campus Trilogy\" – \"Changing Places: A Tale of Two Campuses\" (1975), \"\" (1984), and \"Nice Work\" (1988). \"Small World\" and \"Nice Work\" were shortlisted for the Booker Prize. Another major theme is Roman Catholicism, beginning from his first published novel \"The Picturegoers\" (1960). Lodge has also written several television screenplays and three stage plays. Since retiring from academia, he has continued to publish literary criticism, which often draws on his experience as a practising novelist and scriptwriter. Context_4 : Derived from the Greek ἀκέφαλος (\"akephalos\", literally \"headless\"), Acéphale is the name of a public review created by Georges Bataille (which numbered five issues, from 1936 to 1939) and a secret society formed by Bataille and others who had sworn to keep silent. Context_5 : The Accursed Share: An Essay on General Economy (French: \"La Part maudite\" ) is a book about political economy by the French intellectual Georges Bataille. Written between 1946 and 1949 and collected in volume seven of Bataille's complete works, it comprises three volumes: \"Consumption\", \"The History of Eroticism\", and \"Sovereignty.\" First published by Les Éditions de Minuit in 1949, the book was re-edited in 1967, and was published in English translation in 1988 by Zone Books, in a two-volume edition. \"The Accursed Share\" is considered one of the most important of Bataille's books. However, it received mixed reviews on the publication of its English translation. Context_6 : Poclain is a family company founded by Georges Bataille in France in 1927, then developed by his sons Pierre and Claude Bataille, with help from Jacques and Bernard Bataille. Context_7 : Georges Albert Maurice Victor Bataille (] ; 10 September 1897 – 9 July 1962) was a French intellectual and literary figure working in literature, philosophy, anthropology, economics, sociology and history of art. His writing, which included essays, novels, and poetry, explored such subjects as eroticism, mysticism, surrealism, and transgression. His work would prove influential on subsequent schools of philosophy and social theory, including poststructuralism. Context_8 : Georges Bataille's Story of the Eye is a 2004 experimental film adaptation of the 1928 novel \"Story of the Eye\" by the French writer Georges Bataille. The film, directed by Andrew Repasky McElhinney, takes place in a seemingly abandoned house where a group of people engage in wordless acts of passion. The film covers a period from evening to morning, and the sexual couplings among the members of the house becomes increasingly harrowing as daylight arrives. Context_9 : Friedrich Nietzsche's influence and reception varied widely and may be roughly divided into various chronological periods. Reactions were anything but uniform, and proponents of various ideologies attempted to appropriate his work quite early. By 1937, this led Georges Bataille to argue against any \"instrumentalization\" of Nietzsche's thought, paradoxically as a social-anarchist himself; Bataille, the passionate, determined socialist and anti-fascist, believed that any simple-minded interpretation or unified ideological characterization of Nietzsche's work, granting predominance to any particular aspect, failed to do justice to the body of his work as a whole. Context_10 : Inner Experience (French: \"L'expérience intérieure\" ) is a 1943 book by Georges Bataille. His first lengthy philosophical treatise, it was followed by \"Guilty\" (1944) and \"On Nietzsche\" (1945). Together, the three works constitute Bataille's \"Summa Atheologica\", in which he explores the experience of excess, expressed in forms such as laughter, tears, eroticism, death, sacrifice and poetry. fact_1 : Georges Albert Maurice Victor Bataille (] ; 10 September 1897 – 9 July 1962) was a French intellectual and literary figure working in literature, philosophy, anthropology, economics, sociology and history of art. fact_2 : David John Lodge CBE (born 28 January 1935) is an English author and literary critic. Answer: no\nExample Output: Are Georges Bataille and David Lodge from the same country?\n\nExample Input: Context_1 : Matthew William Goode (born 3 April 1978) is an English actor. He made his screen debut in 2002 with ABC's TV movie feature \"Confessions of an Ugly Stepsister\". His breakthrough role was in romantic comedy \"Chasing Liberty\" (2004), for which he received a nomination at Teen Choice Awards. He then appeared in supporting roles in Woody Allen's \"Match Point\" (2005), the German-British romantic comedy \"Imagine Me and You\" (2006), the period drama \"Copying Beethoven\" (2006). He gained praise for his performance as an aspiring artist in Julian Jarrold's drama \"Brideshead Revisited\" (2008) and as Ozymandias in the American neo-noir-superhero film \"Watchmen\" (2009), based on DC Comics' limited series of the same name. He then starred in romantic comedy \"Leap Year\" (2010) and Australian drama \"Burning Man\" (2011), the latter earning him a nomination for Best Actor at the Film Critics Circle of Australia Awards. Context_2 : Willie Warde (1857 – 18 August 1943) was an English actor, dancer, singer and choreographer. The son of a dancer, his first theatre work was with a dance company. He was engaged to arrange dances for London productions and was later cast as a comic actor in musical theatre. He was associated for over two decades with the Gaiety and Daly's theatres under the management of George Edwardes, playing in and choreographing burlesques and, later, Edwardian musical comedies. In later years he played character roles in West End comic plays. Context_3 : Thomas Stanley Holland (born 1 June 1996) is an English actor and dancer. His breakthrough role was Spider-Man in \"\" (2016), followed by \"\" (2017), as part of the Marvel Cinematic Universe (MCU). He previously appeared on stage in the title role of \"Billy Elliot the Musical\" in London's West End, and in the films \"The Impossible\" (2012) and \"In the Heart of the Sea\" (2015). Holland received the BAFTA Rising Star Award in 2017. Context_4 : Tenma Shibuya (Japanese: 渋谷天馬 ,traditional Chinese: 澀谷天馬,simplified Chinese: 涩谷天马,other names: Shibuya Tenma,Segu Tianma; born January 13，1969) is a Japanese actor, Japanese classical dancer, and cultural exchange activist. He began his career as an actor in 1993 after returning from US, where he attended college. He made appearances in a number of films, stages, and TV dramas in his early acting career in Japan. In 2006, Shibuya, aged 36, visited China for the first time, leading his jump into Chinese show business. In 2008, Shibuya played Colonel Sato, an impressive villain in Yip Man(Ip Man), a Hong Kong kung-fu movie that won the best film award of 28th Hong Kong Film Awards. He starred in the top-rated Chinese TV drama in 2011, Borrow Gun, in which Shibuya successfully portrayed Kato, a character that won him an overnight fame in all of China.　He has often been cast in the role of a villainous Japanese soldier in Chinese anti-Japanese war films. Up until 2015, Shibuya has appeared in over 100 productions including movies, TV dramas and stage works in Japan, China, Hong Kong, Taiwan and the U.S, gaining a great popularity in Asian areas especially in Chinese-speaking areas In addition to acting, he has been a Japanese classical dancer and songwriter for over 20 years. Context_5 : William Hunter Kendal (16 December 1843 – 7 November 1917) was an English actor and theatre manager. He and his wife Madge starred at the Haymarket in Shakespearian revivals and the old English comedies beginning in the 1860s. In the 1870s, they starred in a series of \"fairy comedies\" by W. S. Gilbert and in many plays on the West End with the Bancrofts and others. In the 1880s, they starred at and jointly managed (with John Hare) the St. James's Theatre. They then enjoyed a long touring career. Context_6 : John Partridge (born 24 July 1971 in Radcliffe) is an English actor, dancer, singer, panelist and television presenter, who is probably best known for the role of Christian Clarke in the long-running BBC television soap opera \"EastEnders\", having joined the cast in January 2008. He has worked extensively as a singer and dancer in musical theatre, portraying \"Rum Tum Tugger\" in the official film production of Andrew Lloyd Webber's musical \"Cats\". Context_7 : Gregg Sulkin ( ; born 29 May 1992) is an English actor. At age ten he made his film debut in the 2002 \"Doctor Zhivago\" mini-series. He later landed the starring role in the 2006 British release \"Sixty Six\", and subsequently became known for appearing in the Disney Channel comedy series \"As the Bell Rings\" and \"Wizards of Waverly Place\". In 2010, he starred in the Disney Channel television movie \"Avalon High\". He also appeared in the television special \"\". He starred on MTV's show \"Faking It\" as Liam Booker from 2014 until its cancellation in 2016. He also appeared on \"Pretty Little Liars\" as Ezra's younger brother, Wesley \"Wes\" Fitzgerald. In 2016, he starred in the role of Sam Fuller in the horror-thriller film, \"Don't Hang Up\". Context_8 : Adam Cooper (born 22 July 1971) is an English actor, choreographer, dancer and theatre director. He currently works as both a performer and choreographer in musical theatre, and has choreographed and/or starred in award-winning shows such as \"On Your Toes\", \"Singin' in the Rain\" and \"Grand Hotel\". He began his professional career as a dancer of classical ballet and contemporary ballet and is a former Principal of the Royal Ballet, a major international ballet company based in London. He became internationally recognized for creating the lead role of Swan/Stranger in Matthew Bourne's contemporary dance production of the ballet \"Swan Lake\", a role that was briefly featured in the 2000 film \"Billy Elliot\". Context_9 : Edge of Winter is a 2016 drama film directed by Rob Connolly and written by Rob Connolly and Kyle Mann, starring Joel Kinnaman, Tom Holland, and Percy Hynes White. The film produced by Independent Edge Films in association with JoBro Productions & Film Finance. The filming took place in Sudbury, Ontario, Canada. Context_10 : Shalimar (Hindi : शालीमार) is a 1978 Bollywood film. The movie starred Dharmendra, Zeenat Aman, Shammi Kapoor, Prem Nath and Aruna Irani. English actor Sir Rex Harrison and American actors John Saxon and Sylvia Miles appear in supporting roles in their first and only Bollywood film. Jayamalini does a dance number in the film. This was the last time that Mohammed Rafi's voice was picturized on Shammi Kapoor. Its English version is known as \"Raiders of the Sacred Stone\". Rex Harrison's voice was dubbed by Kader Khan. fact_1 : Edge of Winter is a 2016 drama film directed by Rob Connolly and written by Rob Connolly and Kyle Mann, starring Joel Kinnaman, Tom Holland, and Percy Hynes White. fact_2 : Thomas Stanley Holland (born 1 June 1996) is an English actor and dancer. Answer: Edge of Winter\nExample Output: What movie was filmed in Canada and starred an English actor and dancer?\n\nExample Input: Context_1 : The Role of Her Life (French: Le Rôle de sa vie ) is a 2004 French drama film directed by François Favrat. Karin Viard was nominated for the Best Actress award in the César Awards 2005. Context_2 : Judith Cladel, (March 25, 1873 – January 29, 1958) was a French playwright, novelist, biographer and journalist. Born and lived in Paris, she was a member of the jury of the prix Femina from 1916 to 1958. She began to write at a very young age, encouraged by her father, the novelist Léon Cladel. Her first work was the play \"Le Volant\", performed at the Théâtre de l'Oeuvre in 1895 when she was 22 years old. Léon Cladel died when Judith was 19 years old. As her father's friend and her future lover, Edmond Picard predicted, Cladel was entrusted by her family with upkeeping his memory. Judith Cladel is the author of two biographical works about the life and work of her father. Her next biographies focused on the sculptor, Auguste Rodin. Her biography \"Rodin, sa vie glorieuse, sa vie inconnue\" is her best known work and was considered the authoritative biography of the sculptor for over 50 years. She played a key role in the founding of the Musée Rodin in 1916. Context_3 : André S. Labarthe (born 18 December 1931) is a French actor, film producer and director. He starred alongside Anna Karina in the 1962 film \"Vivre sa vie\". He was the director of many television documentaries that profiles specific individuals, beginning with \"Cinéastes de notre temps\". Context_4 : In This World is the 1988 album from Cindytalk released by Midnight Music. Released as two different LPs under the same name. The CD contains all the tracks from both LPs in order. The LPs and the CD all feature different covers from the same image series. \"Janey's Love\" features an uncredited reading by Kathy Acker from her novel Blood And Guts In High School. \"My Sun\" features a sample from Jean-Luc Godard's Vivre Sa Vie. \"Playtime\" differs from the version on the Abstract Magazine Issue 5 compilation. Context_5 : Sady Rebbot (27 April 1935 – 12 October 1994) was a French actor. He appeared in 68 films and television shows between 1959 and 1994. He starred alongside Anna Karina in the 1962 film \"Vivre sa vie\". Context_6 : The Big Picture (French original title \"L'Homme qui voulait vivre sa vie\" - \"The man who wanted to live his life\") is a 2010 French psychological thriller directed by Éric Lartigau, and starring Romain Duris, Marina Foïs, Niels Arestrup and Catherine Deneuve. The story is adapted from the 1997 novel \"The Big Picture\" by Douglas Kennedy. Context_7 : Anna Karina (born Hanne Karin Blarke Bayer or Beyer, sources differ; 22 September 1940) is a Danish-French film actress, director and screenwriter who has spent most of her working life in France. She was known as a muse in the 1960s of the director Jean-Luc Godard, one of the pioneers of the French New Wave. Her collaborations with Godard include \"The Little Soldier\" (1960), \"A Woman Is a Woman\" (1961), \"Vivre sa vie\" (1962), \"Band of Outsiders\" (1964) and \"Pierrot le Fou\" and \"Alphaville\" (both 1965). With \"A Woman Is a Woman\", Karina won the Best Actress award at the Berlin Film Festival. Context_8 : Polina (French: Polina, danser sa vie ) is a 2016 French drama film directed by Valérie Müller and Angelin Preljocaj, based on the graphic novel \"Polina\" by Bastien Vivès. The film was screened as part of the Venice Days programme at the 73rd Venice International Film Festival. Context_9 : My Life to Live (French: Vivre sa vie : film en douze tableaux ; \"To Live Her Life: A Film in Twelve Scenes\") is a 1962 French drama film directed by Jean-Luc Godard. It was released as \"My Life to Live\" in North America and as \"It's My Life\" in United Kingdom. The DVD releases use the original French title. Context_10 : Set Me Free (French: Emporte-moi ) is a 1999 French-Canadian film by Léa Pool and starring Karine Vanasse. It tells the story of Hanna, a girl struggling with her sexuality and the depression of both her parents as she goes through puberty in Quebec in 1963. The film heavily references the French new-wave film \"Vivre sa vie\" (\"It's my life\") by Jean-Luc Godard. fact_1 : He starred alongside Anna Karina in the 1962 film \"Vivre sa vie\". fact_2 : Anna Karina (born Hanne Karin Blarke Bayer or Beyer, sources differ; 22 September 1940) is a Danish-French film actress, director and screenwriter who has spent most of her working life in France. Answer: 1940\nExample Output:" }, { "from": "gpt", "value": "In what year was the actress that starred alongside Sady Rebbot in the 1962 film Vivre sa vie born?\n\n" } ]
[ { "from": "human", "value": "Instructions: A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.\nInput: இந்த அதிகாரமளித்தல், வரும் ஐந்தாண்டுகளில் வளர்ச்சியின் அதிகாரபீடமாக அவர்களை உருவாக்கும் என்று அவர் தெரிவித்தார்.\nOutput:" }, { "from": "gpt", "value": "उन्होंने कहा यह सशक्तिकरण समाज के कमजोर वर्ग के लोगों को अगले 5 वर्षों में देश का पावर हाउस बनाएगा।" } ]
[ { "from": "human", "value": "You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.\n\nExample input: Bueno, yo digo nada, pero en realidad hay una unidad de investigación muy, muy pequeña en Turín, Italia, llamada Proyecto de Perfiles de Hackers.\nExample output: خوب ، من چیزی نمیگم ، اما در واقع یک واحد تحقیقات کوچک در در تورین ، ایتالیا به نام پروژه پروفایل هکرها وجود داره.\nExample explanation: The Spanish sentence is correctly translated into Farsi, because the meaning is preserved.\nQ: Ahora, tomen este pico y suéltenlo en el espacio.\nA:" }, { "from": "gpt", "value": "حالا برش دارید ودرفضا بگذاریدش." } ]
[ { "from": "human", "value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form \" A >Motivates> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.\n\nLet me give you an example: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.\n selected sentence: Rita will now only go on the trails when she is with friends.\nThe answer to this example can be: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends\nHere is why: The story is about Rita being scared in her experience, so the answer is correct.\n\nOK. solve this:\nstory: I was very bored one summer day. The ice cream truck's song could be heard down the street. I chased after it to buy some ice cream. I met some other kids at the truck. Now I have friends in my neighborhood to play with.\n selected sentence: I chased after it to buy some ice cream.\nAnswer:" }, { "from": "gpt", "value": "I want(s) to chase the truck >Motivates> I chase the truck" } ]
[ { "from": "human", "value": "Q: This task is about using the specified sentence and converting the sentence to Resource Description Framework (RDF) triplets of the form (subject, predicate object). The RDF triplets generated must be such that the triplets accurately capture the structure and semantics of the input sentence. The input is a sentence and the output is a list of triplets of the form [subject, predicate, object] that capture the relationships present in the sentence. When a sentence has more than 1 RDF triplet possible, the output must contain all of them.\nThe Punter coffee shop near Café Sicilia, is a decent price and it serves fairly good Indian food too. Doesn't allow kids however.\nA:" }, { "from": "gpt", "value": "[['The Punter', 'eatType', 'coffee shop'], ['The Punter', 'food', 'Indian'], ['The Punter', 'familyFriendly', 'no'], ['The Punter', 'near', 'Café Sicilia']]" } ]
[ { "from": "human", "value": "Detailed Instructions: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nQ: English: Skipper Brad Butterworth, coincidently a New Zealander, led the Switzerland-based boat to a second straight \"Auld Mug\" trophy. \n Japanese: スキッパーであるブラッド・バターワースは、同時にニュージーランド人でもあるが、スイスを拠点としたボートを二回連続で”古いマグカップ型”トロフィーに導いた。\nA:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "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\".\nOne example: Japanese: 詳細は昨日UTC17時30分、英国議会でイギリスのルス・ケリー運輸大臣によって伝えられた。 \n Filipino: Ang mga detalye ay ibinigay ng UK transport Secretary, na si Ruth Kelly, sa House of Commons sa ika-17:30 UTC kahapon.\nSolution is here: Yes\nExplanation: The converted Filipino 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\nNow, solve this: Japanese: 委員会はアメリカの尋問中に捕虜が死亡したこともあったと述べた。 \n Filipino: Sinabi ng komite na ang ilang paraan ng US ay nagbunga ng kamatayan ng mga bilanggo habang nasa proseso ng pagtatanong.\nSolution:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "In this task, you need to translate the given English sentence to the French language\nQ: What are the strategic dependencies between the EPR/EHR project and other LIS projects?\nA: " }, { "from": "gpt", "value": "Quelles sont les dépendances stratégiques entre le projet de DEP/DES et d'autres projets de systèmes d'information des laboratoires?" } ]
[ { "from": "human", "value": "Given the task definition and input, reply with output. You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Japanese.\n\nMas a Época dos Impérios terminou.\n" }, { "from": "gpt", "value": "しかし帝国時代は終わったのです" } ]
[ { "from": "human", "value": "Given a sentence in Igbo language, translate the sentence to English language keeping the meaning of the original sentence intact\n\nIgbo sentence: Kụrụ m \"ụtọ ntụpọ\", Otú ọ dị, na ogwe aka m Nkea n'onwe ya." }, { "from": "gpt", "value": "Hit my \"sweet spot\", however, and my arm moves of its own accord." } ]
[ { "from": "human", "value": "You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Galician.\n\n感染症との戦いで亡くなったカーン博士や前線で命を落とした人々彼らはずっと私たちと共に戦っていました私たちもこの戦いをずっと彼らと一緒にやっていきましょう" }, { "from": "gpt", "value": "Así que polo Dr. Khan e por todos os que sacrificaron as súas vidas nas trincheiras desta loita con nós, estaremos ao seu lado nesta loita, sempre." } ]
[ { "from": "human", "value": "You will be given a definition of a task first, then some input of the task.\nIn this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form \" A >Motivates> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.\n\nstory: I looked at my mailbox. I got a thank you note. It was from my sister. She was thanking me for the gift. I felt touched by the note.\n selected sentence: It was from my sister.\nOutput:" }, { "from": "gpt", "value": "My sister want(s) to thank me >Motivates> The thank you note is from my sister" } ]
[ { "from": "human", "value": "In this task, you're given a question, a context passage, and four options which are terms from the passage. After reading a passage, you will get a brief understanding of the terms. Your job is to determine by searching and reading further information of which term you can answer the question. Indicate your choice as 'a', 'b', 'c', or 'd'. If you think more than one option is plausible, choose the more probable option to help you answer the question.\nQ: Question: When was the organization that was banned and reborn founded? Passage:In 1997, the military, citing his government's support for religious policies deemed dangerous to Turkey's secular nature, sent a memorandum to Prime Minister Necmettin Erbakan requesting that he resign, which he did. The event has been famously labelled a \"postmodern coup\" by the Turkish admiral Salim Dervişoğlu. Shortly thereafter, the Welfare Party (RP) was banned and reborn as the Virtue Party (FP). A new government was formed by ANAP and Ecevit's Democratic Left Party (DSP) supported from the outside by the center-left Republican People's Party (CHP), led by Deniz Baykal. The DSP became the largest parliamentary party in the 1999 elections. Second place went to the far-right Nationalist Movement Party (MHP). These two parties, alongside Yılmaz's ANAP formed a government. The government was somewhat effective, if not harmonious, bringing about much-needed economic reform, instituting human rights legislation, and bringing Turkey ever closer to the European Union.\n Links: a. Welfare Party b. European Union c. Welfare Party d. Deniz Baykal\nA: " }, { "from": "gpt", "value": "a" } ]
[ { "from": "human", "value": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.\n\n[Q]: L'anno in cui visitai quell'azienda, andai anche in Pakistan, dove la gente nel 2008 soffriva la fame a causa di una contrazione all'offerta alimentare.\n[A]: בשנה בה ביקרתי במפעל הזה, הייתי בפקיסטן, שבה ב-2008 אנשים רעבו ללחם עקב הצמצום באספקת המזון העולמית.\n\n\n[Q]: Ma i risultati a cui Doug teneva di più erano quelli qualitativi.\n[A]: אבל התוצאות של דאג היו הרבה יותר איכותיות.\n\n\n[Q]: (Risate) Questo, come sapete, è un atto di eresia.\n[A]:" }, { "from": "gpt", "value": "(צחוק) זה, כידוע, מעשה כפירה.\n\n\n" } ]
[ { "from": "human", "value": "This task is about translating a given French language sentence to English.\nOne example: Vous avez fait quelque chose de tellement bien aujourd'hui ! Pourquoi vous m'évitez ?\nSolution is here: You did such a great thing today, why are you avoiding me?\nExplanation: This is a good example because the French sentence has been translated correctly to English.\n\nNow, solve this: Que ressentez-vous à propos de ça ?\nSolution:" }, { "from": "gpt", "value": "How do you feel about that?" } ]
[ { "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 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\nInput: Consider Input: Head: PersonX asks the teacher<sep>Tail: listen to teacher\n\nOutput: No\n\n\nInput: Consider Input: Head: PersonX brings the kids with PersonY<sep>Tail: happy\n\nOutput: Yes\n\n\nInput: Consider Input: Head: PersonX moves away from PersonY<sep>Tail: more in control\n\n" }, { "from": "gpt", "value": "Output: Yes\n\n\n" } ]
[ { "from": "human", "value": "In this task you are given a tweet. You must judge whether the author of the tweet is angry or not. Label the instances as \"Angry\" or \"Not angry\" based on your judgment.\n\n[Q]: By the time you've checked in online it's the price of a 2 weeks all inclusive holidays to the maldives. @Ryanair \n[A]: Not angry\n\n\n[Q]: So Rangers v Celtic ll #revenge\n[A]: Not angry\n\n\n[Q]: @BI_Science Opioid rapid pill plague...Speed generations Pulse Rapid rabid Impairment Ist Choice Stacked usage vs street ingestion demo US\n[A]:" }, { "from": "gpt", "value": "Angry\n\n\n" } ]
[ { "from": "human", "value": "In this task, you are given a text of article and corresponding title of an article. Your task is to generate label \"yes\" if headline (title) is right for article, otherwise generate \"no\".\n\nArticle: jacob zuma , south africa 's ruling party chief , is the ultimate comeback kid -- having defied graft charges , he is inching ever closer to the presidency now that his arch rival president thabo mbeki is set to resign . Title: ## injured in bomb blast in india 's restive northeast\nno\n\nArticle: chinese share prices closed #.## percent lower wednesday , led by banks amid unabated concerns over the impact of us financial turmoil on the chinese economy , dealers said . Title: india 's ranbaxy shares slide after us blocks drug imports\nno\n\nArticle: philippine share prices closed #.# percent higher wednesday , helped by wall street gains and investors picking up local stocks after an ## percent slide over the past six days , dealers said . Title: scientists reveal how food-poisoning bug infects foetus\n" }, { "from": "gpt", "value": "no\n\n" } ]
[ { "from": "human", "value": "You are given a sentence in Persian. Your job is to translate the Farsi sentence into Galician.\nExample: وقتی به این جامعه های در حال توسعه می روید زنها رکن اصلی اجتماعشان هستند ولی هنوز این مردها هستند که خیابون ها رو در دست دارند.\nExample solution: Cando chegas a estas sociedades en desenrolo, as mulleres son os piares da súa comunidade, pero os homes seguen a ser os que controlan as rúas.\nExample explanation: The Farsi sentence is correctly translated into Galician, because the meaning is preserved.\n\nProblem: و این یک سیستم با حجم نقل و انتقال بالاست\n" }, { "from": "gpt", "value": "Solution: E é un sistema cunha grande rotación." } ]
[ { "from": "human", "value": "In this task, you are given a sentence in English, and your task is to translate it into Persian.\nExample: not just the words . and thats where a great film editor can help a director .\nExample solution: فقط کلمات نيستن؛ يک تدوينگر خوب خيلي به کار گردان کمک ميکنه .\nExample explanation: This is a good example. The above sentence is correctly translated from English to Persian.\n\nProblem: good morning , mr . fluffy .\n" }, { "from": "gpt", "value": "Solution: صبح به خير آقاي پشمالو ." } ]
[ { "from": "human", "value": "Definition: Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.\nInput: Madog Rowlands, of Wrexham, strangled Lauren Griffiths, 21, at their flat in Cathays, Cardiff, in April 2019. Jurors heard Rowlands, 23, later had drugs and pizza delivered there before phoning 999 over a day later. At Cardiff Crown Court Judge Daniel Williams jailed him for a minimum of 16 years. Judge Daniel Williams said Rowlands had \"contemplated\" killing Lauren for more than a year. Ms Griffiths, from Oswestry, Shropshire, was described as happy, bubbly and popular in court. In contrast, her fiancé was described as self-absorbed and remorseless. Rowlands strangled Ms Griffiths to death, wrapped her body in tape and clingfilm and then ordered drugs and takeaway pizza to be delivered to their Glynrhondda Street flat. The court heard the couple were due to marry a month after he killed her, and had planned a Pagan ceremony. Ms Griffiths was said to be excited to be marrying Rowlands in a ceremony at Stonehenge, in line with his beliefs. After killing his fiancée, Rowlands sent a text message to his drug dealer placing a \"big order\" for cannabis and ecstasy. He withdrew cash from Ms Griffiths' bank accounts, ordered drugs, takeaways from Subway and Dominos and tried to set up a Netflix account on his phone. 'Killed by mistake' His trial heard Rowlands waited more than a day before calling 999 with the aid of what the court heard was a script. Rowlands lied to police, saying he killed Ms Griffiths \"by mistake\". He claimed to be defending himself and then lost consciousness. The court heard he had attacked Ms Griffiths in exactly the same way the year before, admitting to police he had tried to strangle her after she had broken his laptop. Jurors were told Ms Griffiths did not want to attend court after the attack, instead she wanted her fiancé \"to get help\". The court was read victim statements from Ms Griffiths' parents, Alison Turner and Jason Griffiths. Mrs Turner said: \"As a family we have lost a precious daughter and sister.\" She said Lauren \"had plans for the future that have sadly been lost forever\". She added: \"All we have left is our precious memories of someone we loved dearly.\" 'Helpless to save her' Mr Griffiths said his life had \"changed forever\" since their daughter's death. \"Knowing your child has died is horrific enough but to know someone else has taken their life takes things to another level.\" He said he had \"heard things no parent should ever hear about their child\". He added: \"Since Lauren died, I started to have nightmares and trouble sleeping. The nightmares always ended the same, with Lauren's passing and me helpless to save her.\" Related Internet Links HM Courts Service\nOutput:" }, { "from": "gpt", "value": "A \"sullen and self-obsessed manipulator\" who murdered his fiancée then wrapped her body in clingfilm has been sentenced to life." } ]
[ { "from": "human", "value": "In this task, you are given Yelp reviews. The task is to classify a review as \"POSITIVE\" if the overall sentiment of the review is positive or as \"NEGATIVE\" if the overall sentiment of the review is negative.\n\nEx Input:\nDO NOT VISIT THIS STORE!\\n\\nI was lured into this store by a sales woman offering a free sample. I was then offered a product demo which I accepted. I was impressed by the immediate results of the product and did decide to purchase. I was highly pressured to continue to buy more and more (the sales person - Josh) wouldn't let up. I left the store feeling very uncomfortable and uneasy about the experience. I decided to return the products and was then told of their NO REFUND POLICY. This was an hour after I left the store! I was told I'd have to contact customer service and fill out a refund request form, which they immediately denied. The customer service representative told me that the policy is clearly displayed in store (which it is not - I never saw it) and on the receipt. It is on the receipt which I only saw post purchase. The sales associate never disclosed this policy. Their sales tactics are misleading and unethical. It was a horrible experience and I do not recommend their products or services at all. I learned a tough lesson that's for sure!\\n\\nBrilliance New York online offers a 30 day full refund policy. I have contacted corporate to inform them of the shady business the franchise stores are running and hoping they will help or offer some support. We shall see...\n\nEx Output:\nNEGATIVE\n\n\nEx Input:\nWe went here because my boyfriend thought it was so good and I had to try it. Anytime I go to a new burger joint I always try the burgers exactly as offered in the menu. So I ordered a fatburger with fries. The server asked what kind of cheese I wanted and I said cheddar. When she rang it up my jaw just dropped...$24 for two fast food meals? When we sat down we figured out that cheese was an add on for 99 cents and they upsized the drinks and fries with out asking or even mentioning it. \\nWhen we got our burger it was dry and over cooked. My boyfriend says they usually aren't like that though. \\nA note to the owner: I understand your employees were trained to do that and they did get an extra few bucks out of me this time but you won't get another dime from me. Over cooked was forgivable but sneaky business practices are not.\n\nEx Output:\nNEGATIVE\n\n\nEx Input:\nAs a team building activity this can not be beaten. The owner and the staff were wonderful, and we all had a great time. There were some scary moments and some great times when each of our finer skills were tested. Cant wait to try some other rooms! Great team activity and it would be an awesome date night or social group fun too! We got out with time to spare which I did not expect to do :)\n\nEx Output:\n" }, { "from": "gpt", "value": "POSITIVE\n\n\n" } ]
[ { "from": "human", "value": "TASK DEFINITION: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact\nPROBLEM: English sentence: I am definitely sharing this with them, hopefully this will open their eyes.\n\nSOLUTION: M maa na-ekere òkè nke a na ha, Olileanya nke a ga-emeghe anya ha.\n\nPROBLEM: English sentence: You need to make sure that your liability insurance covers all of your assets.\n\nSOLUTION: Mkpa ka ị n'aka na gị ibu mkpuchi ekpuchi niile nke gị akụ.\n\nPROBLEM: English sentence: French - Turkmen\n\nSOLUTION:" }, { "from": "gpt", "value": "izere - Turkmen\n\n" } ]
[ { "from": "human", "value": "TASK DEFINITION: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.\nPROBLEM: An expert batsman can play different types of “”shots“” or “”strokes“” both in defensive and offensive manner. The main task is to hit the ball with the even side and if the ball touches the side it is called an “”external edge“”. A batsman doesn't always tries to hit the ball with strength, a good player with a light clever stroke or just by turning his wrist can make runs. But he tries to hit the ball away from the fielders so that he gets time to make runs.\n\nSOLUTION: एक कुशल बल्लेबाज सुरक्षात्मक और आक्रामक दोनों रूपों में कई प्रकार के शॉट या स्ट्रोक लगा सकता है.मुख्य काम है गेंद को बल्ले की समतल सतह से हिट करना.यदि गेंद बल्ले के किनारे को छूती है तो यह बाहरी किनारा कहलाता है.बल्लेबाज हमेशा ही गेंद को जोर से हिट करने की कोशिश नहीं करता है एक अच्छा खिलाड़ी एक हल्के चतुर स्ट्रोक से या केवल अपनी कलाई को हल्के से घुमा कर रन बना सकता है. लेकिन वह गेंद को क्षेत्ररक्षकों से दूर हिट करता है ताकि उसे रन बनाने का समय मिल सके।\n\nPROBLEM: Although Mahadevi never wrote any novel, story or play then also the proses she has written in her articles, essays, sketches and roles are ideal examples of best prose.\n\nSOLUTION: यद्यपि महादेवी ने कोई उपन्यास कहानी या नाटक नहीं लिखा तो भी उनके लेख निबंध रेखाचित्र संस्मरण भूमिकाओं और ललित निबंधों में जो गद्य लिखा है वह श्रेष्ठतम गद्य का उत्कृष्ट उदाहरण है।\n\nPROBLEM: Warts and all , history will remember these as successful efforts , especially in fields like telecom and oilseeds .\n\nSOLUTION:" }, { "from": "gpt", "value": "इतिहास उन्हें सफल प्रयासों के रूप में याद करेगा , खास तौर पर दूरसंचार और तिलहन जैसे क्षेत्रों में ।\n\n" } ]
[ { "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 question-answer pair. Answer with their type. Pay attention that there may be more than one correct type, but you only have to choose one. In your responses, use of the following types: \n(1) Humans: Any individual or group of humans, including fictional ones (e.g., a group or organization of persons , an individual, title of a person, description of a person); \n(2) Event: Any phenomenon natural or artificial (e.g., named hurricanes, Battles, Wars, Sports events, Terrorist attacks); \n(3) Entity: A thing with distinct and independent existence (Animals, Organs of body, Colors, Inventions, books and other creative pieces, Currency name, Diseases, and medicine, Food, Musical instrument, Languages, Plants, Products, Religions, Sports, Elements and substances, Symbols and signs, Techniques and methods, Equivalent terms, Vehicles); \n(4) Facility: Something built for a particular purpose (Buildings, Airports, Highways, Bridges); \n(5) Location: A place (Cities, Countries, Mountains, States); \n(6) Law: Named documents made into laws (e.g., “the first amendment”, \"civil rights act\"); \n(7) Organization: an organized body of people with a particular purpose (Company names, e.g. Google, Cults or terrorist groups, e.g. Al Qaeda); \n(8) Date: Absolute or relative dates or periods, bigger than 1 day (Years, Range, e.g. from Monday to Tuesday, or during the 20th century, Approximate time); \n(9) Time: Any temporal range/unit that is shorter than a day (e.g., 2 o'clock, 1 pm); \n(10) Money: Monetary values, including unit (e.g., \"$26\", \"914$\"); \n(11) Quantity: postcodes or other codes, the number of sth, Ranks, fractions, speed, temperature, size, area, and volume, weight (e.g., \"26 degree\" \"17 inch\"); \n(12) Description: description and abstract concepts (e.g., the definition of something, the manner of an action, reasons); \n(13) Abbreviation: expression abbreviated (e.g., AMT = abbreviation of Amazon Mechanical Turk). Don't generate any word that is not mentioned in the list of types (Humans, Event, Entity, Facility, Location, Law, Organization, Date, Time, Money, Quantity, Description, Abbreviation). If you can not associate any of the given types with the provided question and answer pair, respond \"Other\".\n\nQuestion: Melbourne has sustained the highest population increase and economic growth rate in any Australian city according to what organization? (Answer: Australian Bureau of Statistics).\nSolution: Organization.\nWhy? Here, the definition of the type \"Organization\" is \"an organized body of people with a particular purpose\" which aligns with \"Australian Bureau of Statistics\". So, this is a good answer.\n\nNew input: Question: What was the named of the song dedicated to the child? (Answer: Glory).\nSolution:" }, { "from": "gpt", "value": "Date." } ]
[ { "from": "human", "value": "In this task, you're given a passage, further information available on a particular linked term from the statement, and a question. Your job is to generate the answer to the question by using the information provided. If there is no clear answer obtainable, output 'none'.\n\nPassage: In 1860 Binding moved to Göttingen where he studied history and jurisprudence. After a short stay in Heidelberg, where he won a law prize, he moved back to Göttingen to finish his studies. In 1864 he completed his habilitation paper in Latin about Roman criminal law and lectured in criminal law at Heidelberg University. Two years later he was appointed professor of law of state and criminal law and procedure in Basel, Switzerland. In the same year he married Marie Luise Wirsing and published Das burgundisch-romanische Königreich and Entwurf eines Strafgesetzbuches für den Norddeutschen Bund. At this time he also became friends with Johann Jacob Bernoulli - an archaeologist, Jakob Burckhardt - an art historian, and Friedrich Nietzsche - a philosopher. In August 1867 his first son, Rudolf Georg, was born, followed two years later by his second son. Rudolf G Binding later became a famous writer. Karl Binding and his wife were to have one more son and two daughters. In 1869 his family moved to Freiburg, and Binding volunteered to fight in the Franco-Prussian War. Although his lack of military training meant he was unable to serve as a soldier, he was accepted as an orderly and posted to the front, serving in a field hospital. In 1872 he took on a post at the Reichs University in Straßburg. In the same year he moved to Leipzig University, where he was to continue to work for the next 40 years. From 1879 until to 1900 Binding worked in the district court of Leipzig. After becoming Leipzig University's rector and receiving his emeritus, he moved to Freiburg, where his wife died only a few days later at 71 years old. In 1918, during the First World War, Binding left Germany to lecture German soldiers in Macedonia and Bulgarian intellectuals in Sofia.\n Link Information: none Question: What was the population of Sofia the year that Binding was there to lecture intellectuals?" }, { "from": "gpt", "value": "Answer: none" } ]
[ { "from": "human", "value": "In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.\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\nExample input: #1 return secretaries \n#2 return #1 born in state 'Alabama \n#3 return departments managed by #2 \n#4 return distinct creation years of #3\nExample output: What are the distinct creation years of the departments managed by a secretary born in state 'Alabama'?\nExample explanation: You should follow the steps in order to realize what is the asked question. In this example, the first returned entities are secretaries(based on step #1) who are born in Alabama(based on step #2). In the step #3 departments managed by step #2(which is secretaries born in Alabama. In the final steps the creation years of the departments is returned, so the question will be about the creation years of the departments. \nQ: #1 return Dutch colony of Berbice \n#2 return the population of #1 \n#3 return #2 In 1762 \n#4 return slaves in #3 \n#5 return number of #4\nA:" }, { "from": "gpt", "value": "In 1762, the population of the Dutch colony of Berbice included how many slaves total?" } ]
[ { "from": "human", "value": "Detailed Instructions: In this task, you are given a post in Spanish from online platforms. You are expected to identify whether the post is hateful against immigrants and women. A hateful post expresses hate or encourages violence towards a person or a group. If a post is hateful but not towards immigrants and women, it should be labeled as non-hateful. Answer \"hateful\" or \"Non-hateful\". Note that the URLs in the text have been replaced with [Link].\nSee one example below:\nProblem: Post: @medelcami01 Tu eres mi perra cierto\nSolution: Hateful\nExplanation: This post contains explicit language \"perra\" and disrespects women. The English translation is \"@medelcami01 You're my bitch right\".\n\nProblem: Post: Un día me dieron un consejo muy bueno: si no vas a decir nada inteligente, CÁLLATE LA PUTA BOCA. Aplicároslo porfa.\nSolution:" }, { "from": "gpt", "value": "Non-hateful" } ]
[ { "from": "human", "value": "You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Hebrew.\n\nLet me give you an example: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات\nThe answer to this example can be: סך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.\nHere is why: The Arabic sentence is correctly translated into Hebrew, because the meaning is preserved.\n\nOK. solve this:\nإذن هل كان عليهم الاستمرار في نقل البضائع باستخدام الأحصنة ، على الأرض ، طالما أنها بالنهاية ستصل ؟\nAnswer:" }, { "from": "gpt", "value": "אז האם היו צריכים להמשיך לסחוב מצרכים על עגלות סוסים, על האדמה, כך שהם בסוף יגיעו?" } ]
[ { "from": "human", "value": "Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.\nInput: The phenotype includes all observable traits whether anatomical , physiological , psychological , mental or whatever .\nOutput:" }, { "from": "gpt", "value": "शरीर-क्रिया अथवा शरीर-रचना से संबंधित गुणों के अलावा मोवैज्ञानिक , मानसिक तथा अन्य सभी गुणों का समावेश दृश्याकृति में किया जाता हे ।" } ]
[ { "from": "human", "value": "Definition: In this task, you are given a sentence that is either in the Yoruba language or the English language. Your task is to identify the language of the input sentence. Input sentences should be in Yoruba or English language and also it cannot have two languages at a time.\nInput: We would love to have your delegates here again.”\nOutput:" }, { "from": "gpt", "value": "English" } ]
[ { "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? Solve this instance: ولی‌ او باور دارد که این کار ارزش سختی‌ها و زحماتش را دارد، به امید آنکه این کارهای هنری «روزی شهادت دهنده جنایت‌های علیه بشریت که در در سوریه انجام شده» خواهد بود.\nStudent:" }, { "from": "gpt", "value": "He believes the effort is worth it, in the hope that these artifacts will “one day bear witness to the crimes against humanity committed in Syria.\"" } ]
[ { "from": "human", "value": "Teacher: In this task, you need to answer the given multiple-choice question on the gain. Gain is the value by which to multiply the input. Classify your answers into 'a', 'b', 'c', 'd', and 'e'.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nProblem: on a sum of money , the simple interest for 2 years is rs . 330 , while the compound interest is rs . 340 , the rate of interest being the same in both the cases . the rate of interest is \nOptions: a ) 15 % , b ) 14.25 % , c ) 6.06 % , d ) 10.5 % , e ) 11.5 %\nSolution: c\nReason: \"explanation : the difference between compound interest and simple interest on rs . p for 2 years at r % per annum = ( r ã — si ) / ( 2 ã — 100 ) difference between the compound interest and simple interest = 340 - 330 = 10 ( r ã — si ) / ( 2 ã — 100 ) = 10 ( r ã — 330 ) / ( 2 ã — 100 ) = 10 r = 6.06 % answer : option c\"\n\nNow, solve this instance: Problem: a car dealership has 40 cars on the lot , 20 % of which are silver . if the dealership receives a new shipment of 80 cars , 35 % of which are not silver , what percentage of total number of cars are silver ? \nOptions: a ) 30 % , b ) 35 % , c ) 40 % , d ) 45 % , e ) 50 %\nStudent:" }, { "from": "gpt", "value": "a" } ]
[ { "from": "human", "value": "In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify given passage into two categories: (1) \"yes\" if the given context is useful in answering the question, and (2) \"no\" if the given context is not useful.\n\nQ: Context: I watched parts of @nbcsnl Saturday Night Live last night. It is a totally one-sided, biased show - nothing funny at all. Equal time for us?— Donald J. Trump (@realDonaldTrump) November 20, 2016 Question: what show does donald trump think is one-sided? Answer: nbcsnl\n\nA: yes\n**\nQ: Context: Today we honor Martin Luther King and rededicate ourselves to all he stood for mia farrow (@MiaFarrow) January 20, 2014 Question: what d o we rededicate ourselves to? Answer: all he stood for\n\nA: yes\n\nQ: Context: Rep. Elijah Cummings: President Trump should be focused on investigating voter suppression instead of voter fraud CNN Politics (@CNNPolitics) January 27, 2017 Question: what should president trump be focused on instead of voter fraud? Answer: investigating voter suppression\n\nA:" }, { "from": "gpt", "value": "yes\n**\n" } ]
[ { "from": "human", "value": "This task is about translating a given Yoruba language sentence to English.\n\nLet me give you an example: Lóde òní gbajúbajà ni àwọn àṣẹ CC lórí ayélujára tí àwọn oníṣẹ́-ọpọlọ jákèjádò ilé-ayé sì ń lò wọ́n fún èyí-ò-jọ̀yìí nǹkan tí o kò lérò.\nThe answer to this example can be: Today CC licenses are prevalent across the web and are used by creators around the world for every type of content you can imagine.\nHere is why: This is a good example because the Yoruba sentence has been translated correctly into English.\n\nOK. solve this:\nIlẹ̀ẹ́lẹ̀ nìyẹn, ṣó yé?\nAnswer:" }, { "from": "gpt", "value": "That's the floor, OK?" } ]
[ { "from": "human", "value": "Teacher:You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Galician.\nTeacher: Now, understand the problem? Solve this instance: Son menos frecuentes que el oso panda.\nStudent:" }, { "from": "gpt", "value": "Son máis escasos que o oso panda." } ]
[ { "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 Portuguese. Your job is to translate the Portuguese sentence into Farsi.\n\nÉ a Arábia Saudita. É Singapura, é o Brasil.\nOutput:" }, { "from": "gpt", "value": "عربستان سعودی ، سنگاپور و برزیل." } ]
[ { "from": "human", "value": "Detailed Instructions: 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.\nQ: Fact: intense heat has a negative impact on an organism. \nTopic: intense heat.\nA:" }, { "from": "gpt", "value": "Fire has intense heat." } ]
[ { "from": "human", "value": "In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label \"yes\" if title is right for article, otherwise generate \"no\".\n\nQ: Abstract: Pancreatic ductal adenocarcinoma (PDA) is among the most lethal human cancers in part because it is insensitive to many chemotherapeutic drugs. Studying a mouse model of PDA that is refractory to the clinically used drug gemcitabine, we found that the tumors in this model were poorly perfused and poorly vascularized, properties that are shared with human PDA. We tested whether the delivery and efficacy of gemcitabine in the mice could be improved by coadministration of IPI-926, a drug that depletes tumor-associated stromal tissue by inhibition of the Hedgehog cellular signaling pathway. The combination therapy produced a transient increase in intratumoral vascular density and intratumoral concentration of gemcitabine, leading to transient stabilization of disease. Thus, inefficient drug delivery may be an important contributor to chemoresistance in pancreatic cancer.. Title: Microenvironment rigidity modulates responses to the HER2 receptor tyrosine kinase inhibitor lapatinib via YAP and TAZ transcription factors.\n\nA: no\n**\nQ: Abstract: The coloured ciliate Blepharisma japonicum changes swimming velocity (positive photokinesis) and elongates its body in response to a prolonged illumination. We have recently proposed that alterations in the phosphorylation level of the ciliate phosducin (Pdc) may be involved in light-induced cell elongation, which in turn affects the interaction of βγ-dimer of G-proteins (Gβγ) with β-tubulin and subsequent cytoskeletal remodelling. The cellular mechanism that governs the photokinetic effect in this ciliate has not been elucidated. In the present study, we utilise real-time PCR to demonstrate that the levels of ciliate Pdc mRNA are significantly reduced in Pdc-RNAi-treated cells compared to cells fed with bacteria carrying the empty vector (control cells). Using western immunoblotting, we confirmed that these cells treated with Pdc-RNAi expressed a substantially lower level of the Pdc protein. The assay also revealed that in ciliates treated with Pdc-RNAi and exposed to light, the cytosolic level of Gβ (~36 kDa) was reduced, whereas the level of Gβ localized to the membrane (~32 kDa) was increased compared to control cells. In addition, behavioural analysis of the cells indicated a substantial reduction of photokinesis. The findings in this study provide additional characterization of the functional properties of the ciliate Pdc protein and we discuss a likely role for this phosphoprotein in the photokinetic phenomenon of the ciliate protist Blepharisma.. Title: Effect of phosducin silencing on the photokinetic motile response of Blepharisma japonicum.\n\nA: yes\n\nQ: Abstract: The validity of the six-question World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener was assessed in a sample of subscribers to a large health plan in the US. A convenience subsample of 668 subscribers was administered the ASRS Screener twice to assess test-retest reliability and then a third time in conjunction with a clinical interviewer for DSM-IV adult ADHD. The data were weighted to adjust for discrepancies between the sample and the population on socio-demographics and past medical claims. Internal consistency reliability of the continuous ASRS Screener was in the range 0.63-0.72 and test-retest reliability (Pearson correlations) in the range 0.58-0.77. A four-category version The ASRS Screener had strong concordance with clinician diagnoses, with an area under the receiver operating characteristic curve (AUC) of 0.90. The brevity and ability to discriminate DSM-IV cases from non-cases make the six-question ASRS Screener attractive for use both in community epidemiological surveys and in clinical outreach and case-finding initiatives.. Title: Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members.\n\nA:" }, { "from": "gpt", "value": "yes\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 Italian. Your job is to translate the Italian sentence into Hebrew.\n\nD'un tratto, ci si rende conto che Amazon ha il potenziale per poterlo realizzare.\nOutput:" }, { "from": "gpt", "value": "אז פתאום, אתם מתחילים לחשוב, טוב, אמזון באופן פוטנציאלי יכול לדחוף את זה." } ]
[ { "from": "human", "value": "In this task, you will be shown an extract from a movie plot and a question. You need to provide the correct answer for it. Short answers containing words that are present in the passage are preferred.\nExample: Twenty-year-old Will Hunting of South Boston is a self-taught, genius-level intellect, though he works as a janitor at the Massachusetts Institute of Technology and spends his free time drinking with his friends, Chuckie (Ben Affleck), Billy (Cole Hauser) and Morgan (Casey Affleck). When Professor Gerald Lambeau (Stellan Skarsgård) posts a difficult mathematics problem as a challenge for his graduate students, Will solves the problem anonymously, stunning both the graduate students and Lambeau himself. As a challenge to the unknown genius, Lambeau posts an even more difficult problem. Lambeau chances upon Will solving the problem but Will flees the scene. That night at a bar, Will meets Skylar (Minnie Driver), a British student about to graduate from Harvard, who plans on attending medical school at Stanford and gives Will her phone number before leaving., Question: How old is Will Hunting in the movie ?\nExample solution: Answer: Twenty years\nExample explanation: This is a good example which results in a factoid answer.\n\nProblem: Steve Clark (James Marsden) is a high school senior whose family moves to Cradle Bay, a picturesque coastal town in Washington state's Puget Sound with his parents. It has been nearly one year since Steve's older brother, Allen (Ethan Embry), committed suicide which traumatized the family. Steve's parents tell him that they have relocated from Chicago to Cradle Bay as a fresh start to move on with their lives.During Steve's first day at his new high school, he meets and befriends three outcast students, Gavin Strick (Nick Stahl), U.V. (Chad E. Donella), and Rachel \"Rae\" Wagner (Katie Holmes). Gavin tries to tell Steve that he believes there is something evil about the \"Blue Ribbons\"a clique of students taking part in a \"special program\" led by the school psychologist, Dr. Caldicott (Bruce Greenwood). Steve is understandably skeptical.Steve witnesses a fight in class between a student, Dickey, and one of the Blue Ribbons. Later, Dickey is trying to buy car parts for his muscle car at an out-of the way marina, and is accosted by the Blue Ribbons. Soon after, Dickey reappears at school, now one of the Blue Ribbons, and having donated his once-prized car to a demolition fundraiser.Steve goes to a local yogurt shoppe where the Blue Ribbons congregate. Steve comments about seeing Dickey and his recent adversary sitting together, to which Dickey replies \"We made peace\". Gavin arrives to meet Steve, and takes him outside after a tense exchange with the group of Blue Ribbons. Gavin shows a photograph of himself and several Blue Ribbons, who were until recently rocker/parties types. The two eavesdrop on a parents meeting, where Gavin learns his parents have signed him up for Caldicott's program. Steve remains skeptical of Gavin's fears of the Blue Ribbons and the program, and wrestles a gun Gavin produces, which he plans to use against his expected abductors. Steve heads home.The following day at lunch, Gavin walks in looking like a Blue Ribbon. When Steve tries to confront Gavin, he gets punched in the stomach for his impertinence. Later, after being chased home, Steve finds Blue Ribbon member Lorna Longley in his living room, ostensibley waiting up after tutoting Steve's younger sister while Steve's parents are \"At a meeting\". Steve suggests she leave. She asks to use the bathroom first, then emerges, partial undressed, and forcefully kisses Steve. Her heightened arousal causes her eye to glow red, startling Steve. Lorna starts saying \"wrong, bad\" then smash her head into a mirror, attacks Steve with a mirror shard, them obliviously leaves the house. She is later seen undergoing treatment at a medical facility under Dr. Caldicott's direction.During this time, Steve also befriends Dorian (William Sadler), the school janitor, who appears to be mentally handicapped and hunts rats for the city for some extra cash. Dorian demonstrates a device called an E-Rat-icator which emits a soft, high pitched whine that is supposed to be innocuous but annoying to rats, which is an abysmal failure. Steve discovers that Dorian is actually highly intelligent, and carries classical literature pieces with him, and that he's hiding because he wishes to be left alone and does not trust society. Dorian also tells Steve that he suspects that the entire community of Cradle Bay is part of a massive conspiracy made up of nearly all of the parents, the local police chief, the school principal and entire school faculty, who hired Dr. Caldicott to \"re-program\" their own children to become the perfect people that they want them to be and not free-thinkers. Rachel finds a CD-R disc that Gavin hid in the school's boiler room, containing a video he made of himself before his \"transformation\", telling about the club and about the history that he learned about Dr. Caldicott. A Blue Ribbon known as \"Chug\" (A.J. Buckley) assaults Rachel in the basement, when Dorian's E-Rat-icator goes off, and immediately sends Chug into a agonized frenzy, during which Rachel slips away. Chug smashes the E-Rat-cator and walks out, apparently oblivious to what has just occurred.During their personal investigation, Steve and Rachel try to find out what exactly has been happening to the Blue Ribbon kids, which leads them to a mental hospital called Bishop Flats following a lead on the disc that Gavin left behind in the basement (which Rachel had retrieved before her encounter with Chug). At Bishop Flats, they find out that mind control is being used to make depressed, awkward and unruly teens become perfect so they can function properly in life, but the programming has some glitches that lead to momentary relapses and violent fits. Also at Bishop Flats, they find Caldicott's daughter, Betty (Julie Patzwald), a failed project who spends her time repeating the same phrase: \"Meet the musical little creatures that hide among the flowers\", along with other damaged test subjects who compulsively brush, floss and apply makeup.After escaping from the hospital, Steve and Rachel return to Cradle Bay to plan to rescue Lindsey before fleeing town. They have a run-in with the town's police chief Cox (Steve Railsback) who is also involved in the conspiracy. He tries to arrest them for being out after curfew. But Dorian shows up under the pretense that he is disposing of dead rats, then knock out the police chief and frees Steve and Rachel, telling them to leave town and go public with what they know about Dr. Caldicott's work.When Rachel and Steve return to Steve's home to get Lindsay (Katharine Isabelle), Steve's parents (Terry David Mulligan and Susan Hogan) reveal that they are also part of the conspiracy and that they moved to Cradle Bay for the purpose to sign him up for Caldicott's program, and Caldicott himself confronts them. Steve and Lindsay try to get out but they get ambushed by a group of Blue Ribbons waiting for them outside the house. They drag Steve and Rachel to the programming center. Steve grabs a scalpel before being strapped into a chair. He confronts Caldicott about the human cost of the reprogram, but Caldicott is dismissive, including in regard to his own daughter. Before the reprogramming can start, Steve uses the scalpel to cut his bonds and escape to rescues Rachel, killing the medical techs. On the way out, they fight and kill Chug, who has been left behind to guard them.Exiting what turns out to be the town's hospital basement, Steve and Rachel are met by Lindsay and U.V. in Rachel's truck. Rushing to catch the early ferry, they meet with a roadblock made of Blue Ribbons and Caldicott on the road. When hope seems lost, Dorian drives up, striking Caldicott, and activating multiple E-Rat-icators that scramble the mind control tech inside the Blue Ribbons' heads. They chase after Dorian and try to destroy the E-Rat-icators Dorian, having been fatally wounded by a gunshot from Caldicott, and believing the Blue Ribbons to be beyond help, drives his car off a cliff with most of the Blue Ribbons hanging onto it. An injured Caldicott reappears, reacting to Steve's declaration that \"It's over\" by saying he will start his experiments again elsewhere. This leads to a final battle between Steve and Caldicott, which Steve wins by kicking Caldicott off the cliff. Steve and Rachel then leave town on the ferry with Lindsay and U.V. to begin a new life elsewhere without their parents.The final scene shows a classroom in an urban high school with kids playing loud music, cursing, and acting up. They are informed that they have a new student teacher. The well-groomed teacher turns around after writing on the board, and it's Gavin, with the blue ribbon \"red twinkle\" still active in his eye., Question: What is the name given to the group of students Dr. Caldicott's special program?\n" }, { "from": "gpt", "value": "Solution: Answer: Blue Ribbons" } ]
[ { "from": "human", "value": "Teacher: In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label \"yes\" if translation is right, otherwise generate label \"no\".\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nBulgarian: Състав на Парламента: вж. протоколи, English: Membership of Parliament: see Minutes\nSolution: yes\nReason: Given translation of bulgarian in english is right. Hence, label is 'yes'.\n\nNow, solve this instance: Bulgarian: Report: Alexander Stubb, English: 28.\nStudent:" }, { "from": "gpt", "value": "no" } ]
[ { "from": "human", "value": "Given a sentence in Bulgarian, generate a new Bulgarian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.\nOne example is below.\nQ: Вие можете да планирате една шапка портфейл, за да носят всичките си кредитни карти.\nA: Можете да използвате кредитна карта портфейл, за да влезете във всичките си кредитни карти.\nRationale: This is a good example of a change in the input. The created sentence is semantically similar to the input as both are talking about credit card wallets and the changes in the sentence follows the commonsense knowledge.\nQ: И ще доведете при вас общност, за да говорите с нея.\nA:" }, { "from": "gpt", "value": "Ще посетите музей, защото искате да видите артефакти." } ]
[ { "from": "human", "value": "In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\n\nExample input: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday. \n 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。\nExample output: Yes\nExample explanation: The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.\nQ: English: Western Romania has recently faced a week of heavy rain, which has caused heavy flooding in some areas, and in other areas has damaged infrastructure. \n Japanese: 西側のルーマニアは最近1週間にわたる豪雨に遭い、いくつかの地域で激しい洪水を引き起こし、他の地域ではインフラストラクチャーに打撃を与えた。\nA:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "Detailed Instructions: 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.\nQ: Fact: Adult sponges produce eggs and sperm. \nTopic: sponges sperm.\nA:" }, { "from": "gpt", "value": "Most sponges are hermaphrodites, each individual bearing both eggs and sperm." } ]
[ { "from": "human", "value": "Given a sentence in the Japanese, provide an equivalent translation in Filipino that retains the same meaning through the translation. In translation, keep numbers as it is.\n\n[EX Q]: 彼らは、政府に対し、この事件についてよりすみやかに情報を提供すべきだと奨励した。\n[EX A]: Hinikayat nila ang gobyerno na mas maging handa sa pagbibigay ng mas maraming impormasyon tungkol sa insidente.\n\n[EX Q]: 56歳のBurgholは、約21年間ジャーナリストをしていて、ラジオダマスカスで毎週番組の司会もする一方で、新聞Al-Thawra（革命）のために働いていた。\n[EX A]: Si Burghol, isang 56 na taong gulang, ay isang mamamahayag sa humigit-kumulang 21 na taon, na nagtrabaho para sa pahayagan ng Al-Thawra (Ang Rebolusyon) habang punong-abala sa lingguhang palabas para sa Radio Damascus.\n\n[EX Q]: 最初の締め切り日程は2006年11月10日で、この日までに両者が合意を認証しなくてはならず、また民主統一党はシン・フェイン党に対し1票投じることになっているが、これは民主統一党にとって史上初となる。\n[EX A]:" }, { "from": "gpt", "value": "Ang unang huling araw ay noong Nobyembre 10, 2006 sa panahon na parehong partido ay dapat tanggapin ang kasunduan at sa unang pagkakataon sa kasaysayan ng partido, ang Democratic Unionist Party ay magbaba ng boto para sa kanilang mga katunggali, na Sinn Fein.\n\n" } ]
[ { "from": "human", "value": "Definition: A text is given in Hindi. Translate it from the Hindi language to the Panjabi language. The translation must not omit or add information to the original sentence.\nInput: इसका उद्देश्य इस महामारी को संयुक्त राष्ट्र द्वारा निर्धारित किए गए सतत विकास लक्ष्यों के अनुसार 2030 तक खत्म करना है।\nOutput:" }, { "from": "gpt", "value": "ਸੰਯੁਕਤ ਰਾਸ਼ਟਰ ਵੱਲੋਂ ਨਿਰਧਾਰਤ ਨਿਰੰਤਰ ਵਿਕਾਸ ਟੀਚੇ ਅਧੀਨ 2030 ਤੱਕ ਇਸ ਮਹਾਮਾਰੀ ਨੂੰ ਖਤਮ ਕਰਨਾ।" } ]
[ { "from": "human", "value": "Generate an appropriate single-sentence summary for the given text such that it includes the main topic of the text.\nQ: The school was one of 12 which were promised new premises in 2004 by a previous education minister. Catriona Ruane wants it to be re-built as part of a multi-school complex at Omagh's former Lisanelly Army camp. Loreto has rejected that proposal and wants a new £14m school to be built on its existing site. The Department of Education said there was no case to answer as no final decision had been made on Loreto's future. It said the minister could not be bound by the policy of a previous direct rule government. The judicial review has been adjourned and will recommence on 6 January.\nA: " }, { "from": "gpt", "value": "The education minister has been challenged in court over the failure of the government to build a new school for Loreto Grammar in Omagh." } ]
[ { "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 the Head can be hindered by what is mentioned in the Tail or not. In this task, hindering introduces hindrances that obstruct the natural path to the achievement of a goal. For example, the event PersonX adopts a cat can be obstructed if PersonX is allergic to cats. 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\nExample input: Head: PersonX touches a nerve<sep>Tail: PersonX is too nice\nExample output: Yes\nExample explanation: This is a good example. The Tail can hinder the Head.\nQ: Head: PersonX is at the beach with friends<sep>Tail: PersonX's mom did not take him.\nA:" }, { "from": "gpt", "value": "Yes" } ]
[ { "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 Head happens before the Tail or not. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nProblem:Head: PersonX goes looking for PersonY<sep>Tail: PersonX finds PersonY working\nSolution:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.\n\nQ: سُهرَوَردی، در ضمن تحصیل، چنین استنباط کرد که موجودات دنیا از نور، به وجود آمده، و انوار، به یکدیگر می‌تابند و آن تابش متقابل را اشراق خواند و به همین جهت لقب شیخ الاشراق را یافت.\nلقب ابن سینا، \"شیخ الاشراق\" است.\n\nA: C\n**\nQ: سیاست‌نامه یا سیرالملوک، کتابی است به زبان فارسی در آیین فرمانروایی و کشورداری و اخلاق و سیاستِ پادشاهان پیشین، نوشتهٔ خواجه نظام‌الملک طوسی.\nکتاب سیاست نامه اثر خواجه نظام‌الملک طوسی می باشد.\n\nA: E\n\nQ: در سال ۱۳۵۸مأموریت جدیدی از طرف امام خمینی به امام خامنه‌ای واگذار شده بود: نمایندگی حضرت امام در رسیدگی به نیازهای مردم سیستان و بلوچستان. امام خمینی در حکم خود به آیت‌الله خامنه‌ای گفته‌اند: جنابعالی به آن منطقه رفته به خواسته‌های اهالی محترم آن مناطق رسیدگی نمایید و انتظارات مردم دلیر آن دیار را برای اینجانب و اولیای امور گزارش دهید.\nامام خمینی در سال ۱۳۵۸ ، امام خامنه‌ای را جهت بررسی مسائل شهرهای استان سیستان و بلوچستان و رسیدگی به وضع مردم آن منطقه اعزام نمودند.\n\nA:" }, { "from": "gpt", "value": "E\n**\n" } ]
[ { "from": "human", "value": "Instructions: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.\nInput: К сожалению , Первоиерарх не внял его словам и рукоположил епископа , который потом его и предал .\nOutput:" }, { "from": "gpt", "value": "sadness" } ]
[ { "from": "human", "value": "Given the task definition and input, reply with output. Given a sentence in Russian, generate a new Russian sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.\n\nЦерковная церемония начинается с официальной процессии.\n" }, { "from": "gpt", "value": "Церковный дом начинается с официального утра." } ]
[ { "from": "human", "value": "Teacher: In this task, you are given a sentence in the English and Japanese language. Your task is check if the Japanese sentence is translation of English. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nEnglish: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday. \n 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。\nSolution: Yes\nReason: The converted Japanese sentence is correctly translated from English because converted sentence has the same message as the original English sentence that Details were given yesterday in the House of Commons at 1730 UTC by Britain's Transport Secretary Ruth Kelly.\n\nNow, solve this instance: English: Mary Grant said she was interested in hearing ideas and noted the redeveloping of Beverly's high school to include more solar panels and a new wind turbine and that the school would be powered by 50% of it. \n Japanese: メアリー・グラントはアイデアを興味深く聞いたと言い、ベヴァリー高校がより多くの太陽電池パネルと新しい風力タービンを持つような再開発をし、学校はそのうちの50%の電力を供給されるということを指摘している。\nStudent:" }, { "from": "gpt", "value": "Yes" } ]
[ { "from": "human", "value": "Teacher: In this task, you are given a question in English, and your task is to translate it into Persian.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nHow do I look up my pay stubs for McDonald's?\nSolution: چگونه می توانم خرده فروشی های خود را برای مک دونالد جستجو کنم؟\nReason: This is a good example. The above sentence is correctly translated from English to Persian.\n\nNow, solve this instance: Is there a reason why we should travel alone?\nStudent:" }, { "from": "gpt", "value": "آیا دلیلی وجود دارد که ما باید تنها سفر کنیم؟" } ]
[ { "from": "human", "value": "Q: You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.\nQue hai da privación de sono?\nA:" }, { "from": "gpt", "value": "睡眠不足はどうですか？" } ]
[ { "from": "human", "value": "A text is given in Bengali. Translate it from the Bengali language to the Tamil language. The translation must not omit or add information to the original sentence.\n\nLet me give you an example: ভারত ও বৃটেনের মধ্যে গণপরিবহণ পদ্ধতি এবং যাত্রী পরিষেবার মানোন্নতির জন্য এক মৌ স্বাক্ষরিত হয়েছে\nThe answer to this example can be: இந்தியாவிற்கும் பிரிட்டனுக்கும் இடையிலான பொது போக்குவரத்து அமைப்பு மற்றும் பயணிகள் சேவையை முன்னேற்றுவதற்காக கையெழுத்திட்ட ஒரு ஆண்கள் இருந்தனர்\nHere is why: Correct translation for given sentence. Input sentence means 'There was a Men signed for the improvement of public transport system and passenger service between India and Britain' which is the same as the output sentence.\n\nOK. solve this:\nবন্ধুগণ, আজ এই সুযোগে, আমি জম্মু-কাশ্মীরের নাগরিকদের নিরাপত্তার জন্য মোতায়েন আমাদের সুরক্ষা বাহিনীর সাথীদেরও কৃতজ্ঞতা জানাচ্ছি।\nAnswer:" }, { "from": "gpt", "value": "நண்பர்களே, இன்று இந்தத் தருணத்தில், ஜம்மு - காஷ்மீர் மக்களின் பாதுகாப்புக்காக நிறுத்தப்பட்டுள்ள பாதுகாப்புப் படைகளைச் சேர்ந்த நமது நண்பர்களுக்கு எனது நன்றியை நான் தெரிவித்துக் கொள்கிறேன்." } ]
[ { "from": "human", "value": "Teacher:You are given a sentence in Italian. Your job is to translate the Italian sentence into Farsi.\nTeacher: Now, understand the problem? Solve this instance: Non mi servirebbe più.\nStudent:" }, { "from": "gpt", "value": "من نیازی به اون نداشتم." } ]
[ { "from": "human", "value": "Given the task definition, example input & output, solve the new input case.\nIn this task, you are given a sentence in the English and Hindi language. Your task is check if the Hindi sentence is translation of English. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nExample: English: Details were given by the UK Transport Secretary, Ruth Kelly, in the House of Commons at 1730 UTC yesterday. \n Hindi: कल ब्रिटेन के परिवहन सचिव रूथ केली द्वारा 1730 UTC पर हाउस ऑफ़ कॉमन्स में विवरण दिए गए।\nOutput: Yes\nThe converted Hindi sentence is correctly translated from English because converted sentence has the same message as the original English 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: English: FDA review staff told the investigators that they were told early in the review process that the decision would be made by high-level management. \n Hindi: ग्रामीणों के प्रयास के बावजूद, जिन्होंने अस्थायी बाढ़ रक्षक बनाए, बारिश के दौरान कई घरों और सड़कों पर पानी भर गया।\nOutput:" }, { "from": "gpt", "value": "No" } ]
[ { "from": "human", "value": "In this task you will be given an arithmetic operation and you have to find its answer. The operators '+' and '-' have been replaced with new symbols. Specifically, '+' has been replaced with the symbol '@' and '-' with the symbol '#'. You need to perform the operations in the given equation return the answer\n\n9089 # 9579 # 1458" }, { "from": "gpt", "value": "-1948" } ]
[ { "from": "human", "value": "Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Hebrew.\nInput: قصد دارم نمونه هایی از کارهایی که میتوانیم انجام دهیم را نشانتان دهم.\nOutput:" }, { "from": "gpt", "value": "אז אני הולך להראות לכם מספר דוגמאות של מה שאנחנו יכולים לעשות." } ]
[ { "from": "human", "value": "Instructions: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.\nInput: 社会問題に関心を持つことが求められました。\nOutput:" }, { "from": "gpt", "value": "הם רצו שנהיה מוטרדים מבעיות חברתיות." } ]
[ { "from": "human", "value": "You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Hebrew.\n\nLet me give you an example: 人の脳の何がそんなに特別なのでしょうか？\nThe answer to this example can be: מה מייחד את המוח האנושי?\nHere is why: The Japanese sentence is correctly translated into Hebrew, because they both refer to the human brain.\n\nOK. solve this:\nまた多くの人に僕のしゃべり方がこんな風だと言われたら神経がまいりますけどね（ボソボソと）ピーナッツバターを食べてるよう\nAnswer:" }, { "from": "gpt", "value": "זה לא אומר שלא אהיה על סף התמוטטות עצבים פעם הבאה שכמה עשרות אנשים יגידו שאני מדבר (ממלמל) כאילו הפה שלי מלא בחמאת בוטנים." } ]
[ { "from": "human", "value": "A text is given in Bengali. Translate it from the Bengali language to the Panjabi language. The translation must not omit or add information to the original sentence.\n\nਅਫਰੀਕਾ ਤੋਂ ਆਏ ਪ੍ਰਤਿਸ਼ਠਾਵਾਨ ਮਹਿਮਾਨੋ ਭੈਣੋਂ ਤੇ ਭਰਾਵੋ" }, { "from": "gpt", "value": "বিশিষ্ট অতিথিবৃন্দ এবং আফ্রিকার ভাই ও বোনেরা," } ]
[ { "from": "human", "value": "Detailed Instructions: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\nQ: Patel performed surgeries at Bundaberg that are alleged to have directly led to the deaths of several of his patients, including one procedure which he had previously been banned from performing in Oregon.\nA:" }, { "from": "gpt", "value": "पटेल ने बुंडाबर्ग में सर्जरी की, जिसमें कथित तौर पर उनके कई रोगियों की मौतें हुईं, जिनमें एक ऐसी प्रक्रिया भी शामिल थी, जिसे उन्हें पहले ओरेगन में करने से प्रतिबंधित कर दिया गया था।" } ]
[ { "from": "human", "value": "You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Galician.\n\nLet me give you an example: No final, espero que a beleza e propósito deste universo microscópico inspire novas e criativas abordagens no futuro da pesquisa do cancro.\nThe answer to this example can be: A Miña esperanza é que a beleza e propósito deste universo microscópico poida inspirar enfoques novos e creativos na investigación do cancro.\nHere is why: The Portugese sentence is correctly translated into Galician, because the meaning is preserved.\n\nOK. solve this:\nE quanto ao verme normal?\nAnswer:" }, { "from": "gpt", "value": "Que pasa logo co verme normal?" } ]
[ { "from": "human", "value": "Part 1. Definition\nGiven a passage with a context and an answer, 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.\nPart 2. Example\nContext: 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).\nAnswer: 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.\nAnswer: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?\nExplanation: The question is based on the following sentences from the two passages (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) ILC2s are also linked with high tissue and blood eosinophilia.\nPart 3. Exercise\nContext: Preoperative anemia may affect postoperative mortality and morbidity following elective cranial operations.', 'The American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database was used to identify elective cranial neurosurgical cases (2006-2012). Morbidity was defined as wound infection, systemic infection, cardiac, respiratory, renal, neurologic, and thromboembolic events, and unplanned returns to the operating room. For 30-day postoperative mortality and morbidity, adjusted odds ratios (ORs) were estimated with multivariable logistic regression.', 'Of 8015 patients who underwent elective cranial neurosurgery, 1710 patients (21.4%) were anemic. Anemic patients had an increased 30-day mortality of 4.1% versus 1.3% in non-anemic patients (P < 0.001) and an increased 30-day morbidity rate of 25.9% versus 14.14% in non-anemic patients (P < 0.001). The 30-day morbidity rates for all patients undergoing cranial procedures were stratified by diagnosis: 26.5% aneurysm, 24.7% sellar tumor, 19.7% extra-axial tumor, 14.8% intra-axial tumor, 14.4% arteriovenous malformation, and 5.6% pain. Following multivariable regression, the 30-day mortality in anemic patients was threefold higher than in non-anemic patients (4.1% vs 1.3%; OR = 2.77; 95% CI: 1.65-4.66). The odds of postoperative morbidity in anemic patients were significantly higher than in non-anemic patients (OR = 1.29; 95% CI: 1.03-1.61). There was a significant difference in postoperative morbidity event odds with a hematocrit level above (OR = 1.07; 95% CI: 0.78-1.48) and below (OR = 2.30; 95% CI: 1.55-3.42) 33% [hemoglobin (Hgb) 11 g/dl].\nAnswer: Preoperative anemia in elective cranial neurosurgery was independently associated with an increased risk of 30-day postoperative mortality and morbidity when compared to non-anemic patients. A hematocrit level below 33% (Hgb 11 g/dl) was associated with a significant increase in postoperative morbidity.\nAnswer:" }, { "from": "gpt", "value": "Does preoperative anemia increase postoperative morbidity in elective cranial neurosurgery?" } ]
[ { "from": "human", "value": "In this task, you are given a abstract of article and corresponding title of an article. Your task is to generate label \"yes\" if title is right for article, otherwise generate \"no\".\nExample: Abstract: This study was designed to determine the influence of a long-term, moderate-intensity treadmill training program on the distribution of blood flow within and among muscles of rats during exercise. One group (T) of male Sprague-Dawley rats trained for 1 h/day for 13-17 wk at 30 m/min on a motor-driven treadmill. A second group (UT) of rats was conditioned for 10 min/day for 4 wk at the same speed. Muscle succinate dehydrogenase activities were higher in T than UT rats indicating a significant training effect. Blood flows (BFs) in 32 hindlimb muscles or muscle parts and other selected organs were measured in the two groups with radiolabeled microspheres during preexercise and while the rats ran for 30 s, 5 min, or 15 min at 30 m/min on the treadmill. The data indicate 1) there were no differences in total hindlimb muscle BF between UT and T rats at any time; however, 2) T rats had higher preexercise heart rates and higher muscle BFs in the deep red extensor muscles, suggesting a greater anticipatory response to the impending exercise; 3) T rats demonstrated more rapid elevations in BF in the red extensor muscles at the commencement of exercise; 4) T rats had higher BFs in red extensor muscles during exercise, whereas UT rats had higher BFs in white muscles; and 5) T rats maintained higher BFs in the visceral organs during exercise. These findings demonstrate that exercise training results in changes in the distribution of BF within and among muscles and among organs during exercise. Specifically, data indicate the high-oxidative motor units that are primarily recruited in the muscles during the initial stages of moderate treadmill exercise receive higher blood flows in the trained rats; this presumably contributes to increased resistance to fatigue.. Title: Exercise blood flow patterns within and among rat muscles after training.\nExample solution: yes\nExample explanation: Title is appropriate for the given abstract because the focus of this abstract is cerebral white matter assesment.\n\nProblem: Abstract: Evaluate known breast cancer risk factors in relation to breast density. We examined factors in relation to breast density in 144,018 New Hampshire (NH) women with at least one mammogram recorded in a statewide mammography registry. Mammographic breast density was measured by radiologists using the BI-RADS classification; risk factors of interest were obtained from patient intake forms and questionnaires. Initial analyses showed a strong inverse influence of age and body mass index (BMI) on breast density. In addition, women with late age at menarche, late age at first birth, premenopausal women, and those currently using hormone therapy (HT) tended to have higher breast density, while those with greater parity tended to have less dense breasts. Analyses stratified on age and BMI suggested interactions, which were formally assessed in a multivariable model. The impact of current HT use, relative to nonuse, differed across age groups, with an inverse association in younger women, and a positive association in older women (p < 0.0001 for the interaction). The positive effects of age at menarche and age at first birth, and the inverse influence of parity were less apparent in women with low BMI than in those with high BMI (p = 0.04, p < 0.0001 and p = 0.01, respectively, for the interactions). We also noted stronger positive effects for age at first birth in postmenopausal women (p = 0.004 for the interaction). The multivariable model indicated a slight positive influence of family history of breast cancer. The influence of age at menarche and reproductive factors on breast density is less evident in women with high BMI. Density is reduced in young women using HT, but increased in HT users of age 50 or more.. Title: Geovisual analytics to enhance spatial scan statistic interpretation: an analysis of U.S. cervical cancer mortality\n" }, { "from": "gpt", "value": "Solution: no" } ]
[ { "from": "human", "value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Japanese.\n\nExample input: Terán seguro para pagar a receita?\nExample output: 処方箋を支払う為の保険は？\nExample explanation: The Galician sentence is correctly translated into Japanese, because the meaning is preserved.\nQ: Somos máis ca iso, somos cidadáns.\nA:" }, { "from": "gpt", "value": "私たちはそれだけの存在ではありません私たちは「シチズン」なのです" } ]
[ { "from": "human", "value": "You are given a sentence in Polish. Your job is to translate the Polish sentence into Hebrew.\n\nEx Input:\nDwa pierwsze zastosowania to rak piersi i prostaty.\n\nEx Output:\nשני היישומים הראשונים הם סרטן השד וסרטן הערמונית.\n\n\nEx Input:\nMożecie pamiętać piosenkę \"\" We Are the World \"\" albo \"\" Do They Know It 's Christmas? \"\" Band Aid, Live Aid.\n\nEx Output:\nאולי אתם זוכרים את השיר, \"\" We Are the World \"\", או \"\" Do They Know It 's Christmas \"\" בנד אייד, לייב אייד.\n\n\nEx Input:\nNagle doszedł nowy - człowiek.\n\nEx Output:\n" }, { "from": "gpt", "value": "ועכשיו אפשר לבחון דברים חדשים: בני אדם.\n\n\n" } ]
[ { "from": "human", "value": "In this task, you're given a paragraph and title from the research paper. Your task is to classify whether the given title is suitable or not for the research paper based on the given paragraph. Return \"True\" if title is proper according to paragraph else \"False\".\n\nParagraph: Graphical Abstract Highlights d DENV NS4B induces mitochondria elongation during viral infection d Elongated mitochondria and virus-induced convoluted membranes are physically linked d NS4B inhibits activation of the mitochondrial fission factor DRP1 d Mitochondria elongation alleviates DENV-induced RIG-Idependent innate immunity SUMMARY With no antiviral drugs or widely available vaccines, Dengue virus (DENV) constitutes a public health concern. DENV replicates at ER-derived cytoplasmic structures that include substructures called convoluted membranes (CMs); however, the purpose of these membrane alterations remains unclear. We determine that DENV nonstructural protein (NS)4B, a promising drug target with unknown function, associates with mitochondrial proteins and alters mitochondria morphology to promote infection. During infection, NS4B induces elongation of mitochondria, which physically contact CMs. This restructuring compromises the integrity of mitochondria-associated membranes, sites of ER-mitochondria interface critical for innate immune signaling. The spatio-temporal parameters of CM biogenesis and mitochondria elongation are linked to loss of activation of the fission factor Dynamin-Related Protein-1. Mitochondria elongation promotes DENV replication and alleviates RIG-I-dependent activation of interferon responses. As Zika virus infection induces similar mitochondria elongation, this perturbation may protect DENV and related viruses from innate immunity and create a favorable replicative environment. \n Title: Dengue Virus Perturbs Mitochondrial Morphodynamics to Dampen Innate Immune Responses Article Dengue Virus Perturbs Mitochondrial Morphodynamics to Dampen Innate Immune Responses\nTrue\n\nParagraph: Our ability to uncover complex network structure and dynamics from data is fundamental to understanding and controlling collective dynamics in complex systems. Despite recent progress in this area, reconstructing networks with stochastic dynamical processes from limited time series remains to be an outstanding problem. Here we develop a framework based on compressed sensing to reconstruct complex networks on which stochastic spreading dynamics take place. We apply the methodology to a large number of model and real networks, finding that a full reconstruction of inhomogeneous interactions can be achieved from small amounts of polarized (binary) data, a virtue of compressed sensing. Further, we demonstrate that a hidden source that triggers the spreading process but is externally inaccessible can be ascertained and located with high confidence in the absence of direct routes of propagation from it. Our approach thus establishes a paradigm for tracing and controlling epidemic invasion and information diffusion in complex networked systems. ½S i ðt 2 Þ þ S i ðt 6 Þ=2 and hS i ðt 2 þ 1Þi ¼ ½S i ðt 12 Þ þ S i ðt 14 Þ=2 based on the remaining strings marked in different colours (see Methods for more details). CST can be used to reconstruct the neighbouring vector X of node 2 from Y and U from Y ¼ U . X. \n Title: ARTICLE Reconstructing propagation networks with natural diversity and identifying hidden sources\nFalse\n\nParagraph: Influenza vaccines that target the highly variable surface glycoproteins hemagglutinin and neuraminidase cause inconvenience of having vaccination every year. For this reason, development of universal vaccines targeting conserved viral components is needed. In this study, we generated recombinant adenovirus (rAd) vaccine encoding nucleoprotein (NP) of A/PR/8/34 influenza virus, designated rAd/NP. BALB/c mice were immunized intranasally or sublingually with rAd/NP vaccine and subsequently challenged with lethal doses of heterologous as well as homologous influenza viruses. We found that intranasal immunization of rAd/NP elicited strong mucosal IgA responses as well as stronger CD8 T-cell responses toward immunodominant K d -restricted NP 147-155 epitope than sublingual immunization. Importantly, only single intranasal but not sublingual immunization of rAd/NP provides potent protection against both homologous and heterologous influenza virus challenges. These results suggest that recombinant rAd/NP could be a universal vaccine candidate for mucosal administration against influenza virus. \n Title: Mucosal Vaccination with Recombinant Adenovirus Encoding Nucleoprotein Provides Potent Protection against Influenza Virus Infection\n" }, { "from": "gpt", "value": "False\n\n" } ]
[ { "from": "human", "value": "Detailed Instructions: This task is about writing a correct answer for the reading comprehension task. Based on the information provided in a given passage, you should identify the shortest continuous text span from the passage that serves as an answer to the given question. Avoid answers that are incorrect or provides incomplete justification for the question.\nProblem:Passage: Aposematism, where organisms are brightly colored as a warning to predators, is the antithesis of camouflage. Some organisms pose a threat to their predators—for example they may be poisonous, or able to harm them physically. Aposematic coloring involves bright, easily recognizable and unique colors and patterns. For example, bright coloration in Variable Checkerspot butterflies leads to decreased predation attempts by avian predators. Upon being harmed (e.g., stung) by their prey, the appearance in such an organism will be remembered as something to avoid. While that particular prey organism may be killed, the coloring benefits the prey species as a whole. Question: Does aposematism benefit only the organism ddirectly, or the entire population as a whole?\nSolution:" }, { "from": "gpt", "value": "species as a whole" } ]
[ { "from": "human", "value": "A text is given in Panjabi. Translate it from the Panjabi language to the Telugu language. The translation must not omit or add information to the original sentence.\n\n[EX Q]: ప్రపంచవ్యాప్తంగా నిత్యం సంభవించే పరిణామాలన్నీ ఒక వార్తాపత్రికలో ఎలా ఇమిడిపోతున్నాయా అని ప్రజలు ఆశ్చర్యపోతుంటారని నేను విన్నాను.\n[EX A]: ਮੈਂ ਆਮ ਤੌਰ ਤੇ ਸੁਣਿਆ ਹੈ ਕਿ ਲੋਕ ਇਸ ਗੱਲ ਉੱਤੇ ਹੈਰਾਨ ਹੁੰਦੇ ਹਨ ਕਿ ਕਿਵੇਂ ਦੁਨੀਆ ਭਰ ਵਿੱਚ ਵਾਪਰ ਰਹੀਆਂ ਘਟਨਾਵਾਂ ਦੀਆਂ ਖਬਰਾਂ ਅਖਬਾਰਾਂ ਵਿੱਚ ਜਗ੍ਹਾ ਬਣਾ ਲੈਂਦੀਆਂ ਹਨ।\n\n[EX Q]: మేము భార‌త‌దేశం-చైనా సంబంధాల‌లో పురోగ‌తి ని సైతం వ్యూహాత్మ‌కమైన మ‌రియు దీర్ఘ‌కాలికమైన దృష్టి కోణాల నుండి స‌మీక్షించ‌నున్నాము.\n[EX A]: ਅਸੀਂ ਰਣਨੀਤਕ ਅਤੇ ਦੀਰਘਕਾਲੀ ਸੰਦਰਭ ਵਿੱਚ ਭਾਰਤ-ਚੀਨ ਸਬੰਧਾਂ ਦੀ ਵੀ ਸਮੀਖਿਆ ਕਰਾਂਗੇ।''\n\n[EX Q]: కార్పొరేట్ బాండ్ల ట్రేడింగ్ వేదికలు వినియోగహితమా కాదా సమీక్షించడం జరుగుతుంది\n[EX A]:" }, { "from": "gpt", "value": "ਕਾਰਪੋਰੇਟ ਬਾਂਡ ਲਈ ਟ੍ਰੇਡਿੰਗ ਪਲੇਟਫਾਰਮ ਨੂੰ ਉਪਭੋਗਤਾਵਾਂ ਲਈ ਸੁਲਭਤ ਬਣਾਉਣ ਦੀ ਸਮੀਖਿਆ ਹੋਵੇਗੀ।\n\n" } ]
[ { "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 Hebrew. Your job is to translate the Hebrew sentence into Japanese.\n\nמה מייחד את המוח האנושי?\nSolution: 人の脳の何がそんなに特別なのでしょうか？\nWhy? The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.\n\nNew input: אני לא נראה כמו רכב ממונע.\nSolution:" }, { "from": "gpt", "value": "実際は乗り物のようには見えません" } ]
[ { "from": "human", "value": "In this task you are given a tweet. You must judge whether the author of the tweet is sad or not. Label the instances as \"Sad\" or \"Not sad\" based on your judgment. You can get help from hashtags and emojis, but you should not judge only based on them, and should pay attention to tweet's text as well.\nQ: It's always over.. until I'm no longer sober... then it feels like I wana start over #UL\nA: " }, { "from": "gpt", "value": "Sad" } ]
[ { "from": "human", "value": "Given the task definition and input, reply with output. 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).\n\nIn addition to the proposals for a new European food authority and an enhanced control system at Community-level, the White Paper proposes an action plan with a wide range of measures to improve and bring coherence to the Community's legislation, covering all aspects of food products from farm to table.\n" }, { "from": "gpt", "value": "Förutom förslagen om en ny europeisk livsmedelsmyndighet och ett förstärkt kontrollsystem på gemenskapsnivå innehåller vitboken förslag till en handlingsplan med ett brett spektrum åtgärder för att förbättra gemenskapens lagstiftning och göra den mer konsekvent, vilka täcker alla aspekter av livsmedelsprodukter från bondgården till köksbordet." } ]

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