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conversations
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[
{
"from": "human",
"value": "Detailed Instructions: Given a paragraph about cooking, and a set of conversational questions and answers about the paragraph, say whether the passage contains sufficient information to answer the follow-up question. Say Yes if it is answerable; otherwise, say No. The paragraph has the prefix 'CONTEXT:'. Each conversation question has a prefix `Q:` followed by the answer prefix `A:`, and the follow-up question has a prefix `FOLLOWUP_Q:`.\nQ: CONTEXT: When I make a paella I never cover it, I find it keeps in too much moisture. My uncovered method is to put the fish in and cook for 10 minutes. If my mussels are small I will usually wait 2-3 minutes before putting them in, bu for \"standard\" mussels 10 minutes seems to work well. I use a low-medium heat on a large burner. <sep> Q: How long to cook seafood in paella? A: burner Q: How long to cook mussels? A: If my mussels are small I will usually wait 2-3 minutes before putting them in, bu for \"standard\" mussels 10 minutes seems to work well. I use a low-medium heat on a large burner <sep> FOLLOWUP_Q: How long for cooking prawns?\nA:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.\n\nExample Input: لست أقول هذا في الواقع بدافع اليأس.\nExample Output: No digo esto con desesperación.\n\nExample Input: حسنا ، لبعض الحيوانات التي تحاول تجنب الكائنات المفترسة بالبقاء في الظلام ، مايزال الضوء مفيدا جدا بالنسبة للاشياء الثلاثة الاساسية التي علي الحيوانات القيام بها للبقاء ، وهي ايجاد الطعام ، جذب زوج و تجنب ان تؤكل.\nExample Output: Bueno, para los animales que evitan los predadores al estar en la oscuridad, la luz aún puede ser de gran ayuda para las tres simples cosas que los animales hacen para sobrevivir, y eso es: encontrar comida, atraer una pareja y evitar ser comidos.\n\nExample Input: الان اكتشفوا لقاحاً لفيروس نقص المناعة البشرية او شفاء من الايدز الان هذا انتصار للعلم.\nExample Output:"
},
{
"from": "gpt",
"value": "Crear una vacuna contra el VIH o una cura contra el sida es muy complicado.\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a statement written in Telugu. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .\n\n[Q]: Statement: ఖండము (ఆంగ్లం కాంటినెంట్, \"continent\") భూమి ఉపరితలంపై గల పెద్ద భూభాగాన్ని 'ఖండము'గా వ్యవహరిస్తారు. ప్రపంచంలో ఖండాలు 7 గలవు. అవి (వైశాల్యం వారీగా ('ఎక్కువ' నుండి 'తక్కువ') <MASK>, ఆఫ్రికా, ఉత్తర అమెరికా, దక్షిణ అమెరికా, అంటార్కిటికా, యూరప్, ఆస్ట్రేలియా.\n\n Option A: ఆసియా\n\n Option B: యూరప్\n\n Option C: ఆఫ్రికా\n\n Option D: అంటార్కిటికా\n[A]: ఆసియా\n\n\n[Q]: Statement: గ్రామంలో ప్రభుత్వ ప్రాథమిక పాఠశాలలు నాలుగు, ప్రభుత్వ ప్రాథమికోన్నత పాఠశాల ఒకటి ఉన్నాయి. బాలబడి, సమీప జూనియర్ కళాశాల <MASK> లోను, మాధ్యమిక పాఠశాల రంగసముద్రం లోనూ ఉన్నాయి. ప్రభుత్వ ఆర్ట్స్ / సైన్స్ డిగ్రీ కళాశాల, పాలీటెక్నిక్, దివ్యాంగుల ప్రత్యేక పాఠశాల మదనపల్లె లోనూ ఉన్నాయి. సమీప వైద్య కళాశాల, మేనేజిమెంటు కళాశాల తిరుపతి లోను, సమీప వృత్తి విద్యా శిక్షణ పాఠశాల తంబళ్లపల్లె లోను, అనియత విద్యా కేంద్రం పెద్దతిప్పసముద్రం లోను, ఉన్నాయి.\n\n Option A: మహబత్‌పూర్\n\n Option B: మదనపల్లె\n\n Option C: తంబళ్లపల్లె\n\n Option D: పెద్దతిప్పసముద్రం\n[A]: పెద్దతిప్పసముద్రం\n\n\n[Q]: Statement: పత్తికొండ చిత్తూరు జిల్లా, <MASK> మండలం లోని గ్రామం. ఇది మండల కేంద్రమైన గంగవరం నుండి 5 కి. మీ. దూరం లోను, సమీప పట్టణమైన పలమనేరు నుండి 5 కి. మీ. దూరంలోనూ ఉంది. 2011 భారత జనగణన గణాంకాల ప్రకారం ఈ గ్రామం 652 ఇళ్లతో, 2656 జనాభాతో 800 హెక్టార్లలో విస్తరించి ఉంది. గ్రామంలో మగవారి సంఖ్య 1334, ఆడవారి సంఖ్య 1322. షెడ్యూల్డ్ కులాల సంఖ్య 193 కాగా షెడ్యూల్డ్ తెగల సంఖ్య 61. గ్రామం యొక్క జనగణన లొకేషన్ కోడ్ 596584.పిన్ కోడ్: 517432.\n\n Option A: గంగవరం\n\n Option B: మేలుమోయి\n\n Option C: చిత్తూరు\n\n Option D: పుంగనూరు\n[A]:"
},
{
"from": "gpt",
"value": "గంగవరం\n\n\n"
}
] |
[
{
"from": "human",
"value": "Q: In this task, you're given an ambiguous question (which can be answered in more than one way). Your task is to write a question that clarifies the given question in such a way that the generated question has one unique answer.\nWho is the youngest congressman in the us?\nA:"
},
{
"from": "gpt",
"value": "Who is the youngest senator in the us from January 3, 2015 – January 3, 2019?"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.\n\nE quixera poñerlles un exemplo diso.\nأريد أن أعطيكم مثالا على هذا\n\nHoxe sabemos que están feitos de moléculas proteicas.\nالآن نعرف أنها مكونة من جزيئات البروتين.\n\nE entón seguín a reflexionar, \"\" Non é marabilloso? Toda esta base de datos, todas estas gravacións, vouchas dar a ti e máis a túa irmá, \"\" que chegou dous anos despois. \"\" E vós seredes capaces de volver e revivir momentos que nunca poderiades recordar coa vosa memoria biolóxica, como o podedes facer agora. \"\" E el ficou quedo un momento.\n"
},
{
"from": "gpt",
"value": "ثم واصلت بالشرح ، \"\" آلن يكون رائعا ، كل هذه البيانات ، و التسجيلات ، سوف اسلمها لك و لاختك \"\" ، ، التي ولدت بعد سنتين. \"\" و ستتمكنون من العودة اليها ، و تعيشون هذه اللحظات مجددا ، التي لن يمكنكم بذاكرتكم البيولوجية تذكرها ، كما يمكن ان تتذكروها الآن. \"\" و سكت لبرهة.\n\n"
}
] |
[
{
"from": "human",
"value": "This task is about classifying the similarity of two sentences. The sentences can be classified as (a) SIMILAR - similar to each other, and (b) DISSIMILAR - not similar to each other. Sentences that have the same RDF relationship in terms of [subject, predicate, object] are similar to each other. The input is a list of two sentences and the output is either SIMILAR or DISSIMILAR.\n\nLet me give you an example: ['piątek is the word for Friday in Polish', 'You say Friday in Polish by piątek.']\nThe answer to this example can be: SIMILAR\nHere is why: The classified label of this sentence is a good example since both the sentences share the same RDF structure [['Polish', 'FRIDAY_FIFTH_DAY', 'piątek']] and are essentially conveying the same thing.\n\nOK. solve this:\n['Barny cakes were invented in 1999.', '1999 were introduced in Barny Cakes.']\nAnswer:"
},
{
"from": "gpt",
"value": "DISSIMILAR"
}
] |
[
{
"from": "human",
"value": "Definition: The input contains a debate topic, an argument on the topic and a keypoint, separated by \"<sep>\". Your task is to answer if the keypoint matches the argument and summarizes exactly what the argument means, in the context of the given topic.\nInput: Topic: We should subsidize space exploration<sep>Argument: Space exploration is important and has led to ground-breaking technologies and co-operations between countries.<sep>Keypoint: Space exploration improves science/technology\nOutput:"
},
{
"from": "gpt",
"value": "True"
}
] |
[
{
"from": "human",
"value": "You are given a statement written in Bengali. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement . Output the word from the correct option .\n\nStatement: শহরটি ১৭ নং জাতীয় সড়ক ও ১২ নং রাজ্য সড়কের ওপর অবস্থিত৷৷ বাগডোগরা বিমানবন্দরটি শহরটির নিকটেই অবস্থিত৷ এই শহরটি থেকে জেলাটির অন্যান্য বিভিন্ন শহরসহ <MASK>, জলপাইগুড়ি, আলিপুরদুয়ার ও দার্জিলিং শহরের সাথে সড়কপথে যুক্ত৷ নিকটবর্তী রেলস্টেশনটি হলো বানারহাট রেলওয়ে স্টেশন৷\n\n Option A: কোচবিহার\n\n Option B: ভারতের\n\n Option C: আলিপুরদুয়ার\n\n Option D: পশ্চিমবঙ্গ\nকোচবিহার\n\nStatement: <MASK>, ভারত, মায়ানমার, নেপাল, ভুটান, থাইল্যান্ড থেকে শুরু করে সমগ্র ইন্দোচীন, চীন, ইন্দোনেশিয়া, ফিলিপাইন, মালয়েশিয়া, সিঙ্গাপুর, ব্রুনাই প্রভৃতি দেশে এদের প্রধান আবাসস্থল। দক্ষিণ কোরিয়ায় এরা অনিয়মিত। ছোট ছোট দূরত্বে এরা উড়ে বেড়ায়। তবে আওয়াজ খুবই তীক্ষ্ণ প্রকৃতির। বাজ, চিল ইত্যাদি শিকারী পাখিকে দেখামাত্র উল্টো তাড়া করে। মাদাগাস্কার থেকে ড্রোঙ্গো নামটি এসেছে। অস্ট্রেলিয়ার পূর্ব উপকূল থেকে এ পাখির নামকরণ হয়েছে যা বোকাটে, নির্বোধ ব্যক্তিকে ঘায়েল করার ক্ষেত্রে ব্যবহার করা হয়।\n\n Option A: বাংলাদেশ\n\n Option B: নেপাল\n\n Option C: অস্ট্রেলিয়ার\n\n Option D: ফিলিপাইন\nবাংলাদেশ\n\nStatement: ইবরাহিম ইবনে আহমাদের শাসনের সময় আগলাবি রাজবংশের অবনতি শুরু হয়। মিশরের <MASK> আগলাবিদের উপর আক্রমণ চালায়। এছাড়াও বার্বাররা বিদ্রোহ করে। ৮৯৩ সালে আগলাবিদের উৎখাত করার জন্য কুতামা বার্বারদের মধ্যে একটি শিয়া ফাতেমী আন্দোলন শুরু হয়। আবদুল্লাহ আল মাহদি বিল্লাহ কাইরাওয়ান ও রাকাদা দখল করেন এবং জনগণের কাছ থেকে আনুগত্যের শপথ আদায় করেন। ৯০৯ সাল নাগাদ আগলাবি রাজবংশ ক্ষমতাচ্যুত হয় এবং ফাতেমীয়রা ক্ষমতায় আসে।\n\n Option A: ফাতেমীয়রা\n\n Option B: তুলুনিরা\n\n Option C: আলজেরিয়া\n\n Option D: তিউনিসিয়া\n"
},
{
"from": "gpt",
"value": "তুলুনিরা\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. 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 accepts the offer<sep>Tail: opportunistic\nA: "
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"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, PersonY, or others, feel what is mentioned in the Tail or not. Feelings in this task are the emotional reactions on the part of PersonY or other participants in an event. For example, as a result of gift-giving, others (in this case, PersonY) might feel appreciated. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX also ordered ___<sep>Tail: competent"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you're given a question, along with a context passage which has extra information available on certain terms mentioned in it. Your job is to determine which sentence(s) from the passage can be used to search for further information needed to answer the question.\nSee one example below:\nProblem: Question: When did the operation during which the 704th dropped supplies to allied troops near Nijmegen begin? Passage: The group was occasionally diverted from strategic missions to carry out air support and interdiction missions. It supported Operation Overlord, the invasion of Normandy by attacking transportation targets, including bridges, along with airfields and strong points in France. On D Day, the squadron and the rest of the 446th Group led the first heavy bomber mission of the day. The 446th aided ground forces at Caen and Saint-Lô during July by hitting bridges, gun batteries, and enemy troops. During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen. It struck lines of communications during the Battle of the Bulge. During Operation Varsity in March 1945, it supplied ground and airborne troops near Wesel. The squadron flew its last combat mission on 25 April 1945 against Salzburg, Austria. The group had flown 273 missions and had lost 58 aircraft during the war,\n.\nSolution: During Operation Market Garden, the attempt to seize a bridgehead across the Rhine in the Netherlands, the 704th dropped supplies to allied troops near Nijmegen.\nExplanation: The passage describes the 704th's actions during Operation Market Garden.\n\nProblem: Question: When was the University that Anne Larigauderie got her Master's Degree in plant molecular biology founded? Passage:Anne Larigauderie received her Master's Degree in plant molecular biology from the Université Paul Sabatier, Toulouse, France, and her PhD in plant ecology, from the Université des Sciences et Techniques du Languedoc and the French National Centre for Scientific Research (CNRS) in Montpellier, France. She then spent several years in the USA, working as a research scientist in several scientific projects. In Alaska, for example, she was involved in the first pilot project performing CO2 enrichment of natural ecosystems in the tundra in open top chambers (with Prof. Walter C. Oechel) to understand and predict impact of climate change on plant physiology and ecology. In California (San Diego State University and the University of California – Davis) she worked on root competition among California grassland species for soil nutrient pockets (with Prof. Jim Richards). A subsequent project focused on responses of various grass species to various scenarios of elevated CO2 and temperature, the aim of which was to predict response of grasses to future climate change (with Prof. Boyd Strain and Prof. Jim Reynolds, Duke University, North Carolina).\n\nSolution:"
},
{
"from": "gpt",
"value": "Anne Larigauderie received her Master's Degree in plant molecular biology from the Université Paul Sabatier, Toulouse, France, and her PhD in plant ecology, from the Université des Sciences et Techniques du Languedoc and the French National Centre for Scientific Research (CNRS) in Montpellier, France"
}
] |
[
{
"from": "human",
"value": "Q: In this task, you are given a sentence from the Quran in Persian, and your task is to translate it into English.\nو [ما] در هیچ شهرى هشداردهندهاى نفرستادیم جز آنکه خوشگذرانان آنها گفتند: «ما به آنچه شما بدان فرستاده شدهاید کافریم.»\nA:"
},
{
"from": "gpt",
"value": "We never sent an admonisher to a habitation but its well-to-do people said: \"We do not believe in what you have brought.\""
}
] |
[
{
"from": "human",
"value": "Instructions: You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Galician.\nInput: כן, כל הנמצאים במקום.\nOutput:"
},
{
"from": "gpt",
"value": "Si, todos na sala."
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.\nInput: É clara?\nOutput:"
},
{
"from": "gpt",
"value": "¿Lo es?"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a sentence in the Swedish language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\nSee one example below:\nProblem: Jag förklarar debatten avslutad.\nSolution: The debate is closed.\nExplanation: Swedish sentence is properly converted into English sentence.\n\nProblem: Min grupp är, i motsats till föregående talare som redan försvunnit, en stark förespråkare för en europeisk allmän åklagare.\nSolution:"
},
{
"from": "gpt",
"value": "Unlike the previous speaker, who has now disappeared, my group is strongly in favour of a European Public Prosecutor."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: Your task is to localize given English phrase into Telugu language. When localising, follow these rules - (1) General names and concepts can be translated (2) Domain specific names can just be transliterated (3) Localised phrases can have both partial translated and transliterated parts (4) But only partial translation or only partial transliteration is not allowed (5) Copy special characters and numbers as is\nQ: No information available about %1.\nA:"
},
{
"from": "gpt",
"value": "% 1 గురించి యెటువంటి సమాచారము అందుబాటులో లేదు."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Hindi language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\nQ: पिछले मामलों में क्रिचफिल्ड्स की देखभाल से राज्य कल्याण सेवाओं ने 11-16 साल के बच्चों को हटा दिया।\nA: "
},
{
"from": "gpt",
"value": "State welfare services had removed the children, now 11-16 years old, from the Critchfields' care in previous cases."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the English language and your task is to convert English sentence into the Gujarati language.\n\nA large white and blue airplane with the word ANA painted on the side is flying in the air."
},
{
"from": "gpt",
"value": "બાજુ પર દોરવામાં આવેલ એએનએ શબ્દ સાથે મોટા સફેદ અને વાદળી વિમાન હવામાં ઉડતી છે."
}
] |
[
{
"from": "human",
"value": "In this task, you have to generate the title of the recipe given its required ingredients and directions.\nExample: 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.'\nExample solution: Indian Hot Onion Relish\nExample explanation: By knowing the ingredients and its recipe, the title of the dish is predicted correctly.\n\nProblem: ingredients: '2 1/4 lb chicken drumsticks', '1/2 cup all-purpose flour, seasoned', '1/4 cup olive oil', '2 onions, roughly chopped', '1 red bell pepper, deseeded, chopped', '2 cups tomato and basil pasta sauce', '1 (13.5 oz) can cannellini beans, drained, rinsed', ' cooked rice or pasta, to serve',<sep> directions: 'Dust chicken in flour, shaking off excess. Heat 2 tbsp oil and fry chicken for 4-5 mins, turning until golden. Set aside. Add remaining oil and saute onions and pepper for 5-6 mins, until onion is golden and tender. Return chicken to pan. Add sauce and 2 cups water. Bring to a boil then reduce heat and simmer, covered, for 25-30 mins, until chicken is cooked through. Add beans and simmer for another 2-3 mins.', 'Serve with cooked rice or pasta.'\n"
},
{
"from": "gpt",
"value": "Solution: Chicken Drumsticks In Tomato Sauce"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a hateful post in Bengali that expresses hate or encourages violence towards a person or a group based on the protected characteristics such as race, religion, sex, and sexual orientation. You are expected to classify the post into two classes: political or non-political depending on the topic.\nTeacher: Now, understand the problem? Solve this instance: ওয়ান টু তে খালাস কইরা দিমু\nStudent:"
},
{
"from": "gpt",
"value": "non-political"
}
] |
[
{
"from": "human",
"value": "Q: In this task, you are given a review of product in Polish language and a question whether this review has positive sentiment. You are expected to generate the answer. The output should be \"Yes\" or \"No\". Don't generate anything apart from \"Yes\", \"No\".\nText: Baterie są źle przechowywane, baterię dostałem całkowicie rozładowaną. Po 3 cyklach formatowania bateria zamiast pojemności 5200 jak w opisie ma mniej więcej połowę tego i pozwala na czas pracy porównywalny ze starą baterią oryginalną, Można skorzystać z \"gwarancji\", ale to strata czasu i pieniędzy. Czemu płacić za ewidentne błędy drugiej strony !.\nQuestion: Is the text a positive review?\nA:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"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 English. Your job is to translate the English sentence into Hebrew.\n\nWe're obsessed with morality as social creatures.\nOutput:"
},
{
"from": "gpt",
"value": "אנו אובססיביים לגבי מוסריות בתור יצורים חברתיים."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Persian, and you have to paraphrase it. The paraphrased sentence must have the same meaning as the input.\n\nInput: Consider Input: چگونه می توانم با انجام بازاریابی شرکت های اینترنتی درآمد کسب کنم؟\n\nOutput: چقدر می توانید از طریق بازاریابی وابسته درآمد کسب کنید؟\n\n\nInput: Consider Input: چه کار کنیم تا به درس خواندن علاقه مند شویم؟\n\nOutput: چه کار کنیم که به درس خواندن علاقه مند شویم؟\n\n\nInput: Consider Input: چگونه می توان ضریب هوشی خود را افزایش داد؟\n\n"
},
{
"from": "gpt",
"value": "Output: برای افزایش ضریب هوشی من چه کاری می توانم انجام دهم؟\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given concept set (with 3 to 5 concepts) that contain mentions of names of people, places, activities, or things. These concept sets reflect reasonable concept co-occurrences in everyday situations. All concepts given as input are separated by \"#\". Your job is to generate a sentence describing a day-to-day scene using all concepts from a given concept set.\nOne example: mountain#ski#skier\nSolution is here: Skier skis down the mountain\nExplanation: Generated sentence as output is based on all three concepts \"mountain\", \"ski\", and \"skier\" given in the concept set.\n\nNow, solve this: add#beauty#room\nSolution:"
},
{
"from": "gpt",
"value": "trims bring added beauty to the gray dining room"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you will be presented with a premise and a hypothesis sentence. Determine whether the hypothesis sentence entails (implies), contradicts (opposes), or is neutral with respect to the given premise. Please answer with \"Contradiction\", \"Neutral\", or \"Entailment\".\n\nPremise: Aleksandr Danilovich Aleksandrov (Russian: Алекса́ндр Дани́лович Алекса́ндров , alternative transliterations: \"Alexandr\" or \"Alexander\" (first name), and \"Alexandrov\" (last name)) (August 4, 1912 – July 27, 1999), was a Soviet/Russian mathematician, physicist, philosopher and mountaineer. <sep> Hypothesis: Aleksandr Danilovich Aleksandrov was alive in 1902, but not in 1915.\n"
},
{
"from": "gpt",
"value": "Contradiction"
}
] |
[
{
"from": "human",
"value": "Definition: Given a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact\nInput: English sentence: Quality Control Evaluation-Performing exams and inspections of items, companies, or processes to evaluate effectiveness or excellent.\nOutput:"
},
{
"from": "gpt",
"value": "Quality Control Evaluation-Performing exams and inspections of items, ụlọ ọrụ, ma ọ bụ usoro inwale irè ma ọ bụ magburu onwe."
}
] |
[
{
"from": "human",
"value": "Teacher:A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.\nTeacher: Now, understand the problem? Solve this instance: ਸ਼੍ਰੀ ਉੱਜਵਲ ਚਟਰਜੀ, ਡਾਇਰੈਕਟਰ, ਪ੍ਰੋਡਿਊਸਰ ਅਤੇ ਪਟਕਥਾ ਲੇਖਕ (ਸਕ੍ਰੀਨਰਾਈਟਟਰ)\nStudent:"
},
{
"from": "gpt",
"value": "உஜ்வால் சட்டர்ஜி திரு."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Arabic.\n\nExample Input: ed era giunta l'ora di fare un qualche piano, ma non c'erano molte opzioni.\nExample Output: وحان الوقت ليضع الرجال خطّة إلاّ إنّ خياراتهم كانت قليلة جدًّا\n\nExample Input: Quindi, quando è arrivato il momento di scegliere i miei studi universitari, Ho scelto di studiare questo campo emergente dell'ecologia del paesaggio.\nExample Output: وبعد ذلك ، أتى وقت تحضير دراستي العليا ، درست هذا المجال الناشئ ، علم البيئة الطبيعية.\n\nExample Input: \"Beh, è una sfumatura di rosa molto elegante.\"\nExample Output:"
},
{
"from": "gpt",
"value": "قالت انه يبدو كلون نرجسي زهري\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 Japanese. Your job is to translate the Japanese sentence into Spanish.\n\nそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘ですそれは個人の内面で起こる闘い悪 ､ 罪 ､ 誘惑 ､ 欲望 ､ 貪欲に対する苦闘です\nSolution: Es una lucha interna, una lucha en contra del vicio, el pecado, la tentación, el deseo, la avaricia.\nWhy? The Japanese sentence is correctly translated into Spanish, because the meaning is preserved.\n\nNew input: 言うまでもありませんが私は祖母の分まで食べました\nSolution:"
},
{
"from": "gpt",
"value": "No hace falta decir que comí las porciones de mi abuela."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Arabic.\n\nEx Input:\nComo é que colocariam as galáxias neste padrão?\n\nEx Output:\nكيف ستضع المجرات هناك في نمط كهذا ؟\n\n\nEx Input:\nE os médicos normalmente têm três a seis minutos para os pacientes, mas agora isso vai mudar.\n\nEx Output:\nوعادة الاطباء يجلسون من 3-6 دقائق مع المرضى ولكن هذا سوف يتغير في حالتنا\n\n\nEx Input:\n\"\" Mas saber que foi um estranho, uma pessoa que eu nem conheço, \"\" se preocupa assim tanto comigo \"\" é muito fixe \"\". Saber que estranhos se preocupam connosco é um privilégio que as minhas crianças não têm.\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "ولكن أن أعرف أن غريباً ، شخصا ما لا أعرفه حتى ، يهتم بهذا القدر بشأني هو شيء جميل للغاية. \"\" معرفة أن الغرباء سيهتمون بك هي حظوة لا يتكلفها أطفالي.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nIn this task, you are given a multiple-choice question about healthcare. Answer the question based on your information and classify your answers into '1', '2', '3', and '4'.\nExample: Question: A 13-year-old girl is operated on due to Hirschsprung illness at 3 months of age. Which of the following tumors is more likely to be present? \n Options: <1> Abdominal neuroblastoma <2> Wilms tumor <3> Mesoblastic nephroma <4> Familial thyroid medullary carcinoma.\nOutput: 2\nThe answer to the given question should be a tumor, therefore Wilms tumor is the correct answer for the given question.\n\nNew input case for you: Question: One of the following coenzyme ratios with chemical groups transferred is NOT correct: \n Options: <1> Biocitin - CO2. <2> Coenzyme A - acyl groups. <3> Flavin adenine dinucleotide - electrons. <4> Thiamine pyrophosphate - amino groups. <5> Tetrahydrofolate - monocarbonated groups.\nOutput:"
},
{
"from": "gpt",
"value": "4"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task you are given a Chinese paragraph related to a criminal case, your job is to give an answer of what the criminal charge is. Take note a) if there are multiple charges only one needs to be outputted b) the criminal charge should be in Chinese. \nSee one example below:\nProblem: 昌宁县人民检察院指控，2014年4月19日下午16时许，被告人段某驾拖车经过鸡飞乡澡塘街子，时逢堵车，段某将车停在“冰凉一夏”冷饮店门口，被害人王某的侄子王2某示意段某靠边未果，后上前敲打车门让段某离开，段某遂驾车离开，但对此心生怨愤。同年4月21日22时许，被告人段某酒后与其妻子王1某一起准备回家，走到鸡飞乡澡塘街富达通讯手机店门口时停下，段某进入手机店内对被害人王某进行吼骂，紧接着从手机店出来拿得一个石头又冲进手机店内朝王某头部打去，致王某右额部粉碎性骨折、右眼眶骨骨折。经鉴定，被害人王某此次损伤程度为轻伤一级。\nSolution: 故意伤害\nExplanation: The phrase 'hit Wang on the head' implies that the criminal charge is assault/battery.\n\nProblem: 牟定县人民检察院指控：2013年被告人柳某甲被牟定县江坡镇人民政府聘用为某某村委会天某工程护林员，具体负责江坡镇某某村委会23林班森林管护工作，聘期一年，自2013年1月1日至12月31日。2013年10月初至12月，柳某甲擅自脱离护林员岗位回到共和镇华星村委会某某村家中，在近三个月内未到其管护的责任区履行巡山护林职责，导致在近一个月的时间内，张某甲、代某某（均已判刑）在某某村委会23林班花箐红岭岗和橄榄箐山上滥伐林木未被及时发现和制止，造成260.0393立方米森林资源被滥伐的严重后果。\nSolution:"
},
{
"from": "gpt",
"value": "玩忽职守"
}
] |
[
{
"from": "human",
"value": "Q: 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 after 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.\nHead: PersonX accidentally hit ___<sep>Tail: apologize\nA:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in either Spanish or English. Your task is to determine the language of the input sentence. Input sentences can only be in Spanish or English, and they cannot be in two languages at the same time.\n\nInput: Consider Input: Teniendo en cuenta el aumento previsto de la incineración, es esencial que la legislación general de la UE sobre eliminación de residuos y sobre calidad del aire sea coherente y completa.\n\nOutput: Spanish\n\n\nInput: Consider Input: We are right to criticise human rights violations and discrimination in candidate countries such as Turkey or some of the Eastern European countries when it comes to the Roma and other minorities, but that is precisely why we must set an example when it comes to human rights in the European Union.\n\nOutput: English\n\n\nInput: Consider Input: I should like it recorded that what Mr Pirker has said had nothing to do with the agenda.\n\n"
},
{
"from": "gpt",
"value": "Output: English\n\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 Spanish. Your job is to translate the Spanish sentence into Polish.\n\nRealmente no tiene sentido escuchar música si no suena bien.\nOutput:"
},
{
"from": "gpt",
"value": "Niewiele sensu ma słuchanie muzyki, jeśli wam się nie podoba."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Farsi.\n\nHablamos con algunas fuentes en Hama que habíamos seguido en Twitter, y les preguntamos sobre el asunto, el puente llamó nuestra atención porque era algo identificable.\n"
},
{
"from": "gpt",
"value": "سپس ما با تعدای منبع در حما صحبت کردیم افرادی که ما در تویتر با آنها در ارتباط بودیم ، و درباره این ویدیواز آنها پرسیدیم اینجا پل برای ما جالب توجه بود چون چیزی بود که می توانستیم شناسایی کنیم"
}
] |
[
{
"from": "human",
"value": "Definition: Classify the relation of question with context to one of these categories: 1) award received, 2) based on, collection, 3) conflict, 4) constellation, 5) convicted of, 6) date of death, 7) director, 8) drafted by, 9) educated at, 10) medical condition, 11) military branch, 12) narrative location, 13) occupation, 14) original network, 15) parent company, 16) point in time, 17) production company, 18) residence, 19) series, 20) service entry, 21) sex or gender, 22) spouse, 23) standards body question.\nInput: Context : HD 132563 is a triple star system in the constellation Boötes. \nQuestion : The star HD 132563 is part of what constellation?\nOutput:"
},
{
"from": "gpt",
"value": "constellation"
}
] |
[
{
"from": "human",
"value": "A text is given in Panjabi. Translate it from the Panjabi language to the Tamil language. The translation must not omit or add information to the original sentence.\nQ: நான் பிரதம மந்திரியாக ஆனபோது, ஆரம்ப நாட்களில் ஒரு கூட்டத்தைக் கூட்டினேன். இந்தியாவில் எத்தனை தீவுகள் இருக்கின்றன எனக் கேட்டேன்.\nA: "
},
{
"from": "gpt",
"value": "ਮੈਂ ਜਦੋਂ ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਬਣਿਆ, ਤਾਂ ਮੈਂ ਮੀਟਿੰਗ ਲੈ ਰਿਹਾ ਸਾਂ। ਸ਼ੁਰੂ ਵਿੱਚ ਮੈਂ ਕਿਹਾ ਬਈ, ਦੱਸੋ ਸਾਡੇ ਦੇਸ਼ ਵਿੱਚ ਆਈਲੈਂਡ ਕਿੰਨੇ ਹਨ?"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into English.\nExample: Agora, está ao lado, ou na miña casa.\nExample solution: Now, it's next door, or in my house.\nExample explanation: The Galician sentence is correctly translated into English. `casa` is correctly translated as `house`.\n\nProblem: E traxicamente, en 2004 [2003], unha científica foi capturada e afogada por unha foca leopardo, que se alimentou con ela.\n"
},
{
"from": "gpt",
"value": "Solution: And tragically in [2003], a scientist was taken down and drowned, and she was being consumed by a leopard seal."
}
] |
[
{
"from": "human",
"value": "Teacher: You are given a sentence in English. Your job is to translate the English sentence into Persian.\nTeacher: Now, understand the problem? If you are still confused, see the following example:\nIn the southwestern part of Nigeria, the plant is known as Gbe'borun.\nSolution: در جنوب غرب نیجریه ، این گیاه به عنوان Gbe 'borun شناخته می شود.\nReason: The English sentence is correctly translated into Farsi, because the meaning is preserved.\n\nNow, solve this instance: When it came to São Tomé and Príncipe, it was a chance not only to learn something new and discover a new collection of stories, but also to bring together a group of people and facilitate a joint creative endeavor.\nStudent:"
},
{
"from": "gpt",
"value": "وقتی نوبت سائوتومه و پرنسیپ شد ، نه تنها فرصت لازم برای یادگیری چیزی جدید و کشف مجموعه جدیدی از داستانها بود بلکه همچنین گردآوردنده گروهی از آدمها و تسهیل کردن یک تلاش مشترک خلاقانه بود."
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nA text is given in Bengali. Translate it from the Bengali language to the Hindi language. The translation must not omit or add information to the original sentence.\n\nসেনাবাহিনীর শৌর্য এবং সমর্পণের প্রতি শ্রদ্ধা জানিয়ে আসুন আমরা সবাই একবার হাত উঁচু করে বলি ভারত মাতা কি জয়! ভারত মাতা কি জয়!\nOutput:"
},
{
"from": "gpt",
"value": "आज मुझे ये कहते हुए गर्व हो रहा है, गर्व का अहसास हो रहा है कि आने वाले समय में रायबरेली रेल कोच निर्माण के मामले में एक ग्लोबल हब बनने वाला है।"
}
] |
[
{
"from": "human",
"value": "Definition: In this task, you are given a sentence in the English language and your task is to convert it into the Hindi language. In translation, keep numbers as it is.\nInput: He blames the Government for the delay in securing infrastructure during the first three months : “ We began hearing only in July . ”\nOutput:"
},
{
"from": "gpt",
"value": "वे सारा दोष सरकार पर ही मढे देते हैं कि पहले तीन महीनों में सरकार ने बुनियादी सुविधाएं जुटाने में देर की , ' ' हम जुलई में ही काम शुरू कर पाए . ' '"
}
] |
[
{
"from": "human",
"value": "In this task you are given a tweet. You must judge whether the tweet is ironic or not. We define two type of irony for this task (\"polarity\",\"situational\"). Situational irony happens when a situation fails to meet some expectations. polarity irony happens when irony is achieved by inverting the intended sentence. Label the instances as \"ironic\" or \"not\" based on your judgment. Note that URLs in the text have been replaced with [Link].\nQ: that way people get to understand disabilities and not stare at us funny wen we out and about#IDPwD#disability\nA: "
},
{
"from": "gpt",
"value": "not"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Polish. Your job is to translate the Polish sentence into Galician.\nSee one example below:\nProblem: Dzisiaj, w Szwecji i innych bogatych krajach ludzie używają mnóstwo najróżniejszych urządzeń.\nSolution: Hoxe, en Suecia e outros países ricos, a xente usa moitas máquinas diferentes.\nExplanation: The Polish sentence is correctly translated into Galician, because the meaning is preserved.\n\nProblem: Pozwólcie mi pokazać niektóre rezultaty.\nSolution:"
},
{
"from": "gpt",
"value": "Permítanme amosarlles algúns dos nosos últimos resultados."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: A text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.\nQ: ہندوستان ملک بھر میں ایک سو اسمارٹ شہروں کی تعمیر کر رہا ہے۔ علاوہ ازیں ہندوستان سو سے زائدتوقعاتی اضلاع میں تیز رفتار ترقی کو یقینی بنا رہا ہے۔\nA:"
},
{
"from": "gpt",
"value": "સમગ્ર દેશમાં 100 સ્માર્ટેસ્ટ શહેરોનું નિર્માણ થઈ રહ્યું છે, સાથે જ દેશ 100 આકાંક્ષી જિલ્લાઓમાં ઝડપથી વધું પ્રગતિ સુનિશ્ચિત કરી રહ્યો છે."
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the events that happen before that sentence, or are likely to have happened before it. Does any of them directly cause it, or simply make it possible? You should write your answer in the form \" A >causes/enables> B\". Try to use phrases and sentences from the story to compose your answer when possible.\n\nExample Input: story: Will loved going to the beach on the weekends. He would play in the water and lay in the sun all day. On this weekend the sky was very gray. Will decided to go to the beach anyway. Will was disappointed at the amount of fog and went home.\n selected sentence: Will decided to go to the beach anyway.\nExample Output: Will loves going to the beach >Causes/Enables> Will goes to the beach\n\nExample Input: story: Liam had brought some nuts for a snack on a school trip. Ted had asked if he could have some. Liam and Ted weren't really friends but Liam was nice. Ted threw the shells all over the bus floor. Liam had to stay late to clean the bus since he brought the snack.\n selected sentence: Liam had to stay late to clean the bus since he brought the snack.\nExample Output: Liam gets told to stay late >Causes/Enables> Liam has to stay late\n\nExample Input: story: John had a headache. He was scared it was the beginning of the flu. He took some headache medicine and went to bed. When he woke up the headache was better. He was so glad to not have the flu.\n selected sentence: He took some headache medicine and went to bed.\nExample Output:"
},
{
"from": "gpt",
"value": "John gets a headache >Causes/Enables> John takes headache medicine\n\n"
}
] |
[
{
"from": "human",
"value": "instruction:\nGiven a sentence in English language, translate the sentence to Igbo language keeping the meaning of the original sentence intact\nquestion:\nEnglish sentence: Once he knows you, you are saved forever.\nanswer:\nOzugbo ọ maara gị, ị na-azọpụta ruo mgbe ebighị ebi.\n\n\nquestion:\nEnglish sentence: Regarding random cutting, it is not that random, it will cut on html entities, numbers, punctuations and html.\nanswer:\nBanyere random ọnwụ, ọ bụghị na random, ọ ga-ebipụ na HTML entities, nọmba, punctuations na HTML.\n\n\nquestion:\nEnglish sentence: This is because according to a survey the Central Bureau of Statistics (BPS), changes in consumption patterns occurred every five years.\nanswer:\n"
},
{
"from": "gpt",
"value": "Nke a bụ n'ihi dị ka otu nnyocha e mere na Central Bureau nke Statistics (BPS), mgbanwe oriri nakawa etu esi mere ise ọ bụla afọ.\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you will be presented with a multiple-choice question in Persian, and you should answer the question based on your knowledge. Classify the answers based on options.\nExample: نسبت .... به باران ، مثل دلتنگی است به .........؟ <sep> (A) ابر ، آسمان (B) ابر ، گریه (C) برف ، غصه (D) زمستان ، گریه\nExample solution: B\nExample explanation: This is a good example, and the answer is correct.\n\nProblem: علت گرايش قباد به آيين مزدكي چه بود؟ <sep> (A) پيروزي بر روميان (B) دلسوزي بر مردم (C) جذابيت آيين جديد (D) كاهش قدرت بزرگان\n"
},
{
"from": "gpt",
"value": "Solution: D"
}
] |
[
{
"from": "human",
"value": "Instructions: This task is about translating a given English language sentence to Yoruba language.\nInput: In the Judgment delivered by Justice Kudirat Kekere-Ekun, the court accordingly ordered the INEC to withdraw the Certificate of Return issued to Ihedioha and issue a fresh Certificate of Return to the candidate of the APC on grounds that he won majority of the lawful votes cast at the election.\nOutput:"
},
{
"from": "gpt",
"value": "Nínú ẹjọ́ tí ìgbìmọ̀ ẹlẹ́nu méje tí adájọ́ àgbà lórílẹ̀ èdè Nàíjíríà, Tanko Muhammed darí rẹ̀, ni adájọ́, Kudirat Kekere-Ekun pàsẹ fún àjọ elétò ìdìbò orílẹ̀ èdè Nàíjíríà, Independent Electoral Commission (INEC) láti gba ìwé ẹri gẹ́gẹ́ bí gómìnà ìpínlẹ̀ Imo lọ́wọ́ Ihedioha kí wọń sì fún Uzodinma gẹ́gẹ́ bí gómìnà tuntun fun ìpínlẹ̀ náà."
}
] |
[
{
"from": "human",
"value": "In this task, you're given a context, further information available on a particular linked term from the statement, and an answer term. Your job is to generate a question that can use the information provided to obtain the given answer. You should use the information on both context and link information to create the question. Note that the answer to the question should be exactly the given answer, and if the answer is none, the answer to the question shouldn't be obtainable from the context or linked information.\n\nExample Input: Context: Patassé went in disguise to the French Embassy in the Central African Republic to seek refuge. Link Information: The economic prefectures are Nana-Grébizi and Sangha-Mbaéré, while the commune is the capital city of Bangui Answer: Bangui \nExample Output: What city was the French Embassy located in?\n\nExample Input: Context: The rework added distinctive Renaissance Revival palace facades designed by Percy Nobbs, featuring terracotta, granite, bronze and Tyndall stone. Link Information: a Canadian architect who was born in Haddington, Scotland, Answer: Haddington, Scotland\nExample Output: When was the person who designed the palace facades in the Birks building born?\n\nExample Input: Context: In 1961, the singer opened her own club, Sugar Hill: Home of the Blues Link Information: none Answer: none\nExample Output:"
},
{
"from": "gpt",
"value": "Did Dane's club make money the year she opened it?\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head is located or can be found at/in/on 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.\n\nHead: PersonX accidentally burned ___<sep>Tail: to call the fire department for help"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "You are given a paragraph, a question and some answer options (associated with \"A\", \"B\", \"C\", \"D\", etc.) You need to list all the correct answer options with their associated letters (e.g. \"A\" can be a valid answer). Note that sometimes, more than one option can answer the question correctly and completely. In those cases, please generate all such options separated by a comma (e.g. \"A, B\" is a valid answer). Do not generate anything else apart from one or more of the following characters: 'A', 'B, 'C', 'D', etc.\nQ: Paragraph- Sent 1: Triumph and Disaster: The 20th century saw a stupendous release of energies that had been pent up for the 250 years of Tokugawa isolation.\nSent 2: By 1930 raw-material production had tripled the figure of 1900, manufactured goods had increased twelve-fold, and heavy industry was galloping towards maturity.\nSent 3: Britain led the World War I Ailies in large orders for munitions, while Japan expanded sales of manufactured goods to Asian and other markets cut off from their usual European suppliers.\nSent 4: Merchant shipping doubled in size and increased its income ten-fold as the European fleets were destroyed.\nSent 5: Setbacks in the 1930s caused by the European postwar slump were only a spur to redouble efforts by diversifying heavy industry into the machine-making, metallurgical, and chemical sectors.\nSent 6: Even the terrible 1923 Tokyo earthquake, which cost over 100,000 lives and billions of dollars, provided another stimulus due to the construction boom that followed.\nSent 7: Riding the crest of this economic upsurge were the zaibatsu conglomerates — a dozen family-run combines, each involved in mining, manufacturing, marketing, shipping, and banking.\nSent 8: These tightly controlled commercial pyramids were the true heirs to the old feudal structures.\nSent 9: Japan's progress toward parliamentary democracy was halted in the 1930s by the growing nationalism being imposed on government by the generals and admirals.\nSent 10: They proclaimed Japan's mission to bring progress to its backward Asian neighbors in language not so very different from that of the Europeans in Africa or the US in Latin America.\nSent 11: After the Russian Revolution of 1917, the Soviet Union was regarded as a major threat to Japan's security, and the army felt it needed Manchuria and whatever other Chinese territory it could control as a buffer against Russian advances.\nSent 12: In 1931 the Japanese occupied Manchuria.\nSent 13: And then in 1937, with the popular support of ultra-right-wing groups, the army overrode parliamentary resistance in Tokyo and went to war against the Chinese Nationalists.\nSent 14: By 1938, they held Nanking, Hankow, and Canton.\nSent 15: Japanese expansionist policies were leading to direct confrontation with the West.\nSent 16: Japan hoped that war in Europe would divert the Soviet Union from interference in East Asia, giving Japan a free hand both in China and, through its alliance with Germany, in French IndoChina after the defeat of France.\nSent 17: The US responded to the Japanese invasion of IndoChina with a trade and fuel embargo, cutting off 90 percent of Japan's supplies.\nSent 18: The result was the attack on the American fleet at Pearl Harbor (7 December 1941) and total war. \nQuestion: What were a few of the tightly controlled commercial pyramids in Japan? (A) Mining, manufacturing, marketing, shipping, and banking (B) Combines involved in mining, manufacturing, marketing, shipping, and banking (C) Zaibatsu conglomerates (D) Expansionists (E) A dozen family run combines of different industries (F) Banking and shipping combines (G) Trades (H) Ultr-right wing groups.\nA: "
},
{
"from": "gpt",
"value": "A, B, C, E."
}
] |
[
{
"from": "human",
"value": "In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.\n\nEx Input:\ndid not arise out of her employment, given that she was no longer employed at Riverside when she was injured. Respondents counter that, for purposes of the NIIA, the employment relationship continues for a reasonable amount of time after an employee quits or is fired, so that Fanders was still considered an employee when she was injured, and thus, the NILA applied and was Fanders’ sole remedy. The NIIA only covers injuries that arise out of and in the course of the injured claimant’s employment. NRS 616C. 150(1). An in jury occurs within the course of employment when there is a causal connection between the injury and the nature of the work or the workplace. Wood, 121 Nev. at 733, 121 P.3d at 1032; Rio Suite Hotel & Casino v. Gorsky, 113 Nev. 600, 604, 939 P.2d 1043, 1046 (1997) (<HOLDING>); see also MGM Mirage v. Cotton, 121 Nev. 396, \n Holding statements: (A) recognizing that an injury arises out of the employment relationship if it can be traced to the nature of employment or the workplace environment (B) holding employees under age discrimination in employment acts adea parallel retaliation provision includes former employees as long as the alleged discrimination is related to or arises out of the employment relationship (C) holding that it is the claimants burden to show that the injury was the result of an accident that not only arose in the course of the employment but that it also grew out of or resulted from the employment (D) holding that where the employment of the injured employees was the occasion of the injury the injuries arose out of employment (E) holding that language in employee handbook stating that it was not to be considered as creating terms and conditions of an employment contract and that the employment relationship was employment atwill was sufficiently explicit to preclude the creation of implied contractual obligations as a matter of law\n\nEx Output:\n(A)\n\n\nEx Input:\ndo not apply in ... [piroceedings relating to probation.\" - Ind. Evidence Rule 101(c)(@2). A probation revocation hearing is not to be equated with an adversarial criminal proceeding. Cox v. State 706 N.E.2d 547, 550 (Ind.1999) (citing Isaac v. State, 605 N.E2d 144, 149 (Ind.1992)). Rather, a revocation hearing is a narrow inquiry, and its procedures are more flexible than those of a criminal proceeding. Id. In revocation hearings, judges may consider any relevant evidence bearing some substantial indicia of reliability, including expert testimony and scientific evidence. Carter v. State, 706 N.E.2d 552, 554 (Ind.1999) (noting that it is beyond doubt that urinalysis has achieved a sufficient level of scientific reliability to be accepted into evidence); see also Cox, 706 N.E.2d at 550 (<HOLDING>); of - Pitman v. State, 749 N.E.2d 557, 559 \n Holding statements: (A) holding hearsay admissible in revocation hearings (B) holding that certified charging informations and police reports are deemed admissible in revocation hearings (C) holding that it is clear that hearsay evidence is admissible in a hearing on a motion to suppress (D) holding that neither rule 11 nor the protections of boykin apply to probation revocation hearings and observing that less process is due in prison disciplinary proceedings than in probation revocation hearings (E) holding that because the rules of evidence including the rule against hearsay do not apply to sentencing hearings the district court did not err in relying on hearsay in ordering restitution\n\nEx Output:\n(A)\n\n\nEx Input:\nallows an award of costs and attorney’s fees from the petitioners to the debtor. Here, Focus also asks us to order the disgorgement of attorney’s fees previously paid out of Focus’ estate to the petitioning creditors’ attorneys. To clear the way for the relief Focus seeks, we would have to return control of the business to Focus, discharge the trustee and dismiss the involuntary petition. See Semel v. Dill (In re Dill), 731 F.2d 629, 632 (9th Cir.1984) (“An award of attorney’s fees under 11 U.S.C. § 303(i) depends upon dismissal of the petition.”). Because we could fashion these equitable remedies, effective relief is available to Focus, and this case is therefore not moot under the first type of mootness. See Spirtos v. Moreno (In re Spirtos), 992 F.2d 1004, 1007 (9th Cir.1993) (<HOLDING>). Neither are we persuaded that we should \n Holding statements: (A) holding that plan participants in a defined benefit pension plan have no claim to the plans surplus assets (B) holding that distributions from an inter vivos trust do not qualify as bequests and 541a5a does not operate to bring such distributions into the bankruptcy estate (C) holding that postconfirmation income that is not necessary to the fulfillment of the plan of reorganization does not become part of the bankruptcy estate (D) holding confirmation vested property in the debtor and therefore properly of the estate was not liable for postconfirmation taxes incurred by debtor (E) holding appeal not moot when court could order debtor to return to the estate postconfirmation distributions of pension plan assets\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "(E)\n\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:A text is given in Bengali. Translate it from the Bengali language to the Marathi language. The translation must not omit or add information to the original sentence.\nTeacher: Now, understand the problem? Solve this instance: তাঁরা হলেন, যাঁরা ১৯৪৭-এ দেশভাগের পর পাকিস্তান থেকে ভারতে এসেছিলেন।\nStudent:"
},
{
"from": "gpt",
"value": "हे ते लोक आहेत जे १९४७ मध्ये फाळणीनंतर पाकिस्तानातून भारतात आले होते."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Hebrew.\n--------\nQuestion: Aquí está a relación\n\nAnswer: והנה הוא ביחס לאותו מדד של אי שוויון.\n\n\nQuestion: E cando ves estas tartarugas de 70 anos, a simple vista, non atopas diferenzas entre esas tartarugas e unhas de 20 anos.\n\nAnswer: וכשחושבים על הצבים בני ה 70 אי אפשר לראות את השוני, מהתבוננות בלבד. בין הצבים הללו לבין צבים בני 20.\n\n\nQuestion: Unha vez que o aprende, espállase en proporción xeométrica por unha poboación.\n\nAnswer:"
},
{
"from": "gpt",
"value": "וכאשר הוא למד זאת, זה מתפשט ביחס הנדסי ברחבי האוכלוסיה.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Q: This task is about translating a given Spanish language sentence to English.\n- ¿Está cerrada la cocina?\nA:"
},
{
"from": "gpt",
"value": "- Is the kitchen closed?"
}
] |
[
{
"from": "human",
"value": "instruction:\nIn this task, you will be presented with a passage and have to answer a question based on your understanding of the events inferred from the passage. Try to find the best answer that is most likely to fill in \"_\". Note that the URLs in the text have been replaced with [Link].\nquestion:\nI brought you the Manchester United haters test a few weeks ago – you can read it HERE. Now it’s time for the ‘Wayne Rooney Test.’ What’s the first thing you think about when you hear the name Wayne Rooney? a) How close he is to breaking scoring records with Manchester United and England b) Any of the following - Being punched in his kitchen by Phil Bardsley, demanding a massive salary at Manchester United or barking into the camera at the 2010 World Cup and at West Ham. If you answered b) then I’d question your passion for football.Wayne Rooney is close to breaking records for Man United and EnglandRooney celebrated his goal against Spurs with a boxing routineHe had been in the papers that morning for getting KO'd by Phil BardsleyRooney should be judged for what he does on the pitch - not off itREAD: Was Rooney a knockout against Tottenham?CLICK HERE for all the latest Manchester United news \n Question:Those who can’t handle _’s success need to look at themselves.\nanswer:\nWayne Rooney\n\n\nquestion:\n(CNN) She spoke out on behalf of young undocumented immigrants like herself who want legal status. Now she's in the custody of US Immigration and Customs Enforcement. Daniela Vargas, 22, was arrested Wednesday after sharing her family's story -- including her father and brother's arrest last month by ICE officers -- during a news conference in Jackson, Mississippi. Moments before her arrest by ICE, Vargas had advocated for young people who, like herself, were brought to the US illegally as children, then qualified for a temporary reprieve from deportation under the Obama-era Deferred Action for Childhood Arrivals program, known as DACA. Recipients often are called DREAMers, a reference to the DREAM Act, which if approved by Congress would give DACA participants permanent legal status.Immigrant from Argentina says she was brought to United States at age 7Financial troubles kept her from renewing her DACA status, friend says \n Question:Vargas said she arrived in the United States with her family at age 7 as an undocumented immigrant from Argentina and later was granted _ status, which lasts two years.\nanswer:\nDeferred Action for Childhood Arrivals\n\n\nquestion:\n(CNN) Recently, Senators John McCain and Lindsey Graham predictably but mistakenly called for greater United States military involvement in the Syrian civil war, proving they have learned nothing from our history in the Middle East. It seems that every dictator and every atrocity in that region is met with a call for action without a thought to consequences. Those who wish to send our soldiers to \"take care\" of every atrocity in the world might want to take a glance at Maplecroft's Human Rights Risk Atlas, which currently lists 35 countries as extreme risks for committing atrocities. Are we prepared to send our military to right the wrongs of all 35 countries?Senators John McCain and Lindsey Graham have advocated for more US military intervention in SyriaSen. Rand Paul: This is a mistake -- we need a new foreign policy doctrine, which states we only intervene if it's in our national security interests \n Question:It is true that the fight against ISIS and the civil war in _ are connected, but not in the way neocons infer.\nanswer:\n"
},
{
"from": "gpt",
"value": "Syrian\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task you are given a premise and two alternatives in Italian. You must choose the alternative that is more plausibly the cause or effect of the situation described by the premise. The input format is \"premise\n(1)alternative_1(2)alternative_2\", the output should either be \"1\" or \"2\" based on your judgment.\n\n[Q]: Mi grattai la pelle.\n(1)Era sudata.(2)Prudeva.\n[A]: 2\n\n\n[Q]: La ragazza si era vantata con le amiche.\n(1)Aveva ricevuto un brutto voto.(2)Aveva vinto una gara.\n[A]: 2\n\n\n[Q]: Lo studente universitario voleva incontrare altri studenti nel campus.\n(1)Si unì a una confraternita.(2)Si laureò in ingegneria.\n[A]:"
},
{
"from": "gpt",
"value": "1\n\n\n"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. Given a paragraph and a question in Spanish, answer the question from the text. Your answer should be directly extracted from the passage, and it should be a single entity, name, or number, not a sentence.\n\nPárrafo: Tras la elección del Partido Laborista del Reino Unido para el Gobierno en 1997, el Reino Unido suscribió formalmente el Acuerdo sobre política social, que permitía incluirlo, con pequeñas modificaciones, como el Capítulo Social del Tratado de Ámsterdam de 1997. Posteriormente, el Reino Unido adoptó la principal legislación previamente acordada en el marco del Acuerdo sobre política social, la Directiva del comité de empresa de 1994, que requería una consulta a los trabajadores en las empresas, y la Directiva sobre el permiso parental de 1996. En los diez años siguientes al Tratado de Amsterdam de 1997 y a la adopción del Capítulo Social, la Unión Europea ha emprendido iniciativas políticas en diversos ámbitos de la política social, como las relaciones laborales e industriales, la igualdad de oportunidades, la salud y la seguridad, la salud pública, la protección de los niños, las personas con discapacidad y las personas de edad, la pobreza, los trabajadores migrantes, la educación, la formación y la juventud. Question: ¿Qué llevó al Reino Unido a suscribir el Acuerdo sobre Política Social?\n"
},
{
"from": "gpt",
"value": "la elección del Partido Laborista del Reino Unido para el Gobierno"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nIn 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).\nPart 2. Example\nItaly have defeated Portugal 31-5 in Pool C of the 2007 Rugby World Cup at Parc des Princes, Paris, France.\nAnswer: 2007 में फ़्रांस, पेरिस के पार्क डेस प्रिंसेस में हुए रग्बी विश्व कप के पूल C में इटली ने पुर्तगाल को 31-5 से हराया।\nExplanation: This is a correct and accurate translation from English to Hindi because translated text is just paraphrased of English sentence. Also, it preserves the numbers as it is.\nPart 3. Exercise\nShe had refused to answer direct questions about her personal life.\nAnswer:"
},
{
"from": "gpt",
"value": "उन्होंने अपने निजी जीवन के बारे में पूछे गए सीधे सवालों का जवाब देने से इनकार कर दिया था।"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you're given a question, along with three passages, 1, 2, and 3. Your job is to determine which passage can be used to answer the question by searching for further information using terms from the passage. Indicate your choice as 1, 2, or 3.\nTeacher: Now, understand the problem? Solve this instance: Question: Where was the prime minister born who resigned? Passage 1: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 Passage 2:In times past, the ancient city of Limerick itself was entirely contained in the area now known as Englishtown as a walled city. The Vikings established the city in this area following the Viking Invasion of Ireland. After the Norman Invasion of Ireland, the city was taken by Norman or Old English settlers. It is from this time that the area became referred to as Englishtown and also to distinguish it from Irishtown south of the Abbey River which was populated by native Irish. It was during the Norman Conquest that many of the city's landmarks were built in this district such as the 13th century King John's Castle and the 800-year-old St Mary's Cathedral. Nicholas Street and Mary Street on the island formed the medieval city centre of Limerick and are perhaps the oldest streets in the city. Samuel Lewis writing in 1837 in his Topographical Dictionary of Ireland describes Limerick's old city of Englishtown as resembling the city of Rouen, Normandy with the housing built in Flemish fashion. Even by then though there is evidence the district was in decline as he describes the area as exhibiting a 'dirty & neglected appearance'. Following the development of Newtown Pery the city centre shifted south to the present day centre of the city and the Englishtown area lost its position as the fashionable area of the city. By the late 18th Century the old continental style cramped lofty Dutch & Flemish houses that once characterised the area were transformed into tenements and rented to Limerick's poorest. Englishtown became characterised by poverty, slum living and squalor. All of the slums were cleared in the early to mid 20th Century, resulting in the loss of most of the areas historical built heritage such as the collection of Flemish townhouses, Ireton's Castle, the Exchange building, the Tholsel amongst much more. Unfortunately many buildings and shops in the area remain derelict or in deteriorating conditions today.\n Passage 3:The 1970s began with Tipperary and Cork being respectively represented by Tadhg O'Connor and Paddy Barry. Kilkenny's captain from 1969 and a player regarded as one of the greatest forwards of all time, Eddie Keher, was introduced next. Keher was followed onto the field of play by Wexford's 1968 captain, Dan Quigley, and Kilkenny's 1967 captain, Jim Treacy. At the time Quigley was the last Wexford man to captain his county to the All-Ireland title. Gerald McCarthy was one of the youngest captains to take to the field. He was only twenty years-old when he guided Cork to the All-Ireland title in 1966. He was followed by Mick Murphy, Tipperary's victorious captain of 1964 and Séamus Cleere, Kilkenny's captain of 1963. Jimmy Doyle, regarded by many as one of the greatest players of all time and the All-Ireland winning captain of 1962 and 1965, was followed by Matt Hassett who guided Tipperary to the title in 1961. Frankie Walsh of Waterford, the last man to captain his county to a championship, followed before Tipperary's 1958 All-Ireland-winning captain Tony Wall took to the field.\n\nStudent:"
},
{
"from": "gpt",
"value": "1"
}
] |
[
{
"from": "human",
"value": "You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.\n\nTweet: @AleeeD_ bitch who do u love\nLabel: Hate Speech\nfalse\n\nTweet: @KingHov1313 i got a dyke wit a child as whse mgr, and she jus hired another girlboy dis week....\nLabel: Hate Speech\ntrue\n\nTweet: @CallME__Jetson hoe ass nigga. 😑\nLabel: Hate Speech\n"
},
{
"from": "gpt",
"value": "false\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the English language. Your job is to translate the English sentence into the Romanian language.\n\nQ: A woman jumps and poses for the camera.\n\nA: O femeie sare și pozează pentru aparatul foto.\n****\nQ: A dark brown horse standing in a field.\n\nA: Un cal maro închis care stă pe un câmp.\n****\nQ: Boiling eliminates only a certain class of contaminants that can make you ill.\n\nA:"
},
{
"from": "gpt",
"value": "Fierberea elimină doar o anumită clasă de contaminanți care te pot îmbolnăvi.\n****\n"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nIn 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.\nPart 2. Example\nویژگی های هنر عصر اموی: ۱- تلفیقی بودن ۲- بازنمایی نوعی تفنن و تفریح ۳- نقاشی های تزئینی و تندیس های بی کیفیت\nنقاشی های تزئینی و تندیس های بیکیفیت، یکی از ویژگی های هنر عصر اموی است.\nAnswer: E\nExplanation: The second sentence agrees with the first sentence.\nPart 3. Exercise\nمجلس بریتانیا از دو مجلس تشکیل شدهاست که عبارتاند از: مجلس عوام و مجلس اعیان.\nاعضای مجلس عوام بریتانیا، بر خلاف مجلس اعیان توسط مردم انتخاب میشوند.\nAnswer:"
},
{
"from": "gpt",
"value": "N"
}
] |
[
{
"from": "human",
"value": "Definition: In this task, you are given a sentence in the Swedish language and a corresponding English translation of the Swedish sentence. Your task is to generate a label \"Yes\" if the translation is correct, otherwise generate label \"No\".\nInput: Swedish: Det intresserar inte de stora grupperna i detta parlament, och inte heller de flesta av de fackföreningar som i ord anstränger sig att försvara den europeiska förvaltningen, men som i själva verket bara är intresserade av att skydda sina egna medlemmar, och att därvid på ett diskutabelt vis använder de omfattande maktbefogenheter de tilldelats. \n English: It would be advisable to bear these arguments in mind when the relationship between supply and demand in protein-rich crops is discussed tomorrow.\nOutput:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nA text is given in Bengali. Translate it from the Bengali language to the Telugu language. The translation must not omit or add information to the original sentence.\nExample: ఇలా 130 కోట్ల మంది ప్ర‌జానీకం మాట క‌లిపి వ్య‌క్తం చేస్తున్న అభిప్రాయాలు, వారి భావోద్వేగాలు మాకు కొత్త బ‌లాన్నిస్తున్నాయి\nOutput: 130 কোটি লোকের মতো প্রকাশ করা শব্দগুলি প্রকাশ করে, তাদের আবেগ আমাদের কাছে নতুন\nCorrect translation for given sentence. Input sentence means 'Like 130 crore people expressing the words expressed, their emotions are new to us' which is the same as the output sentence.\n\nNew input case for you: 2018 కామ‌న్‌ వెల్త్ గేమ్స్ లో భార‌తదేశం సాధించిన విజయం క్రీడ‌ల‌ను అనుస‌రించేందుకుగాను మ‌రింత మంది యువ‌తీయువకులకు స్ఫూర్తిగా నిల‌ుస్తుంది;\nOutput:"
},
{
"from": "gpt",
"value": "ঐ সাফল্য প্রত্যেকের জীবনে শক্তি ও ক্ষমতার গুরুত্ব সম্পর্কে আরও বেশি মাত্রায় সচেতনতার প্রসার ঘটাবে।"
}
] |
[
{
"from": "human",
"value": "Given a sentence in the Thai, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.\n\n[EX Q]: รายงานนี้เป็นการวิเคราะห์จากบันทึกเรดาร์ของสภาการควบคุมการบินและกรมอุตุนิยมวิทยาแห่งชาติ ผ่านทาง Freedom of Information Act (FOIA) และได้นำมาเทียบเคียงกับบัญชีประจักษ์พยาน\n[EX A]: このレポートは連邦航空局および国立気象局のレーダー記録の分析で、いくつかの情報公開法（FOIA)の要請を含み、それらを目撃情報と比較している。\n\n[EX Q]: โฆษกอย่างกล่าวเพิ่มเติมว่า \"ความตั้งใจของพวกเราคือการอยู่กับครอบครัว เพื่อนๆ และเพื่อนร่วมงานของ บุรุษไปรษณีย์คนนั้นในเวลาที่แสนเศร้า\"\n[EX A]: 「私達は、この非常に悲しい時にいる郵便配達人の家族、友人、同僚のことを考えています」と、スポークスマンは付け加えた。\n\n[EX Q]: ความรุนแรงเกี่ยวกับการแบ่งนิกายได้ปะทุขึ้นในอิรักตั้งแต่การรุกโดยมีสหรัฐเป็นผู้นำ ซึ่งทำให้บางคนเห็นว่าอิรักกำลังอยู่ในภาวะสงครามกลางเมือง\n[EX A]:"
},
{
"from": "gpt",
"value": "宗派による暴力は米軍主導の侵略以降、イラクにおいて激発し、イラクは今や内乱の混乱の只中に居ると推測させている。\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether 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.\nQ: Head: PersonX asks PersonX's grandma<sep>Tail: happy and encouraging\nA: "
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Spanish.\nOne example is below.\nQ: Podem assim exprimir tudo desde admiração e desejo até ansiedade e angústia.\nA: Y puede expresar desde admiración y codicia, hasta ansiedad y angustia.\nRationale: The Portugese sentence is correctly translated into Spanish, because the meaning is preserved.\nQ: Não sei mais nada sobre ele exceto que, uma vez me salvou a vida colocando a dele em perigo.\nA:"
},
{
"from": "gpt",
"value": "No sé nada más de él, excepto que una vez salvó mi vida arriesgando su propia vida."
}
] |
[
{
"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 tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will want what is mentioned in the Tail or not. In this task, wanting is a postcondition desire on the part of PersonY and others, respectively. For example, as a result of PersonX giving PersonY gifts, PersonY may want to open the gift. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX finds PersonY outlet<sep>Tail: use electricity\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"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 language. Your job is to translate the English sentence into the Spanish language.\nExample: It is NOT a function of the intermediate filaments\nOutput: NO es una función de los filamentos intermedios\nThe language translation is correct. The given input in English is a negative sentence, therefore the polarity of the output must be negative. Looking at the output it’s clear that the sentence polarity is negative.\n\nNew input case for you: All the following compounds contain exclusively glucose, EXCEPT\nOutput:"
},
{
"from": "gpt",
"value": "Todos los compuestos siguientes contienen exclusivamente glucosa, EXCEPTO"
}
] |
[
{
"from": "human",
"value": "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\nExample Input: Если вы хотите иметь физические проблемы, вы должны иметь медицинскую страховку.\nExample Output: Если вы навещаете вас, чтобы пройти медицинский осмотр, вы должны иметь медицинскую страховку.\n\nExample Input: Если вы хотите записаться по кредитной карте, вы должны ожидать купюры.\nExample Output: Если вы хотите заплатить по выставке в магазине, вы должны ожидать счёт.\n\nExample Input: Я подумал о культовой еде.\nExample Output:"
},
{
"from": "gpt",
"value": "Я съел собачьей еды.\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you will be presented with a context passage, a question about that paragraph, and a possible answer to that question. The task is to check the validity of the answer. Answer with \"Yes\" or \"No\".\nProblem:The second major point on which the principals had agreed on March 10 was the need to crack down on terrorist organizations and curtail their fund-raising. The embassy bombings of 1998 had focused attention on al Qaeda's finances. One result had been the creation of an NSC-led interagency committee on terrorist financing. On its recommendation, the President had designated Bin Laden and al Qaeda as subject to sanctions under the International Emergency Economic Powers Act. This gave theTreasury Department's Office of Foreign Assets Control (OFAC) the ability to search for and freeze any Bin Laden or al Qaeda assets that reached the U.S. financial system. But since OFAC had little information to go on, few funds were frozen. In July 1999, the President applied the same designation to the Taliban for harboring Bin Laden. Here, OFAC had more success. It blocked more than $34 million in Taliban assets held in U.S. banks. Another $215 million in gold and $2 million in demand deposits, all belonging to the Afghan central bank and held by the Federal Reserve Bank of New York, were also frozen. After October 1999, when the State Department formally designated al Qaeda a \"foreign terrorist organization,\" it became the duty of U.S. banks to block its transactions and seize its funds. Neither this designation nor UN sanctions had much additional practical effect; the sanctions were easily circumvented, and there were no multilateral mechanisms to ensure that other countries' financial systems were not used as conduits for terrorist funding. Attacking the funds of an institution, even the Taliban, was easier than finding and seizing the funds of a clandestine worldwide organization like al Qaeda. Although the CIA's Bin Laden unit had originally been inspired by the idea of studying terrorist financial links, few personnel assigned to it had any experience in financial investigations. Any terrorist-financing intelligence appeared to have been collected collaterally, as a consequence of gathering other intelligence. This attitude may have stemmed in large part from the chief of this unit, who did not believe that simply following the money from point A to point B revealed much about the terrorists' plans and intentions. As a result, the CIA placed little emphasis on terrorist financing. Nevertheless, the CIA obtained a general understanding of how al Qaeda raised money. <sep>Who blocked more than $34 million in Taliban assets held in U.S. banks, and froze $215 million in gold and $2 million in demand deposits belonging to the Afghan central bank?<sep>US Banks\nSolution:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "Q: 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\".\nEnglish: 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": "Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.\n\nLet me give you an example: 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).\nThe answer to this example can be: 1\nHere is why: There is a line in the passage which say 'The aim of this study was...' which suggests that it is talking about a specific aim. Hence, the output should be 1 as this passage has a definite aim.\n\nOK. solve this:\nThe purpose of the present study was to evaluate the extent of the ventricular epicardial fat and its relationship with the underlying myocardium, neither of which is still completely understood.', 'A total of 117 autoptic human hearts was subdivided into four groups: normals (N), ischemics (I), hypertrophics (H) and hypertrophic-ischemics (HI). In each heart, the ventricular myocardial and epicardial fat weights were measured. On the basis of these data, the epicardial fat percentage within the ventricles was calculated.', 'The left, right and total ventricular fat weights were greater in H and HI than in N and I (P<.05, P<.05, P<.01, respectively). No differences were detected in the epicardial fat weights in comparing H versus HI and N versus I. Moreover, the fat percentage in each ventricle did not vary between the four groups. However, if compared with the right ventricle, the left ventricle showed an epicardial fat percentage consistently lower (P<.0001). In nonhypertrophied hearts (N and I), the body mass index and the total epicardial fat weight were correlated (P<.05), whereas in hypertrophied hearts (H and HI), they were not.\nAnswer:"
},
{
"from": "gpt",
"value": "0"
}
] |
[
{
"from": "human",
"value": "Teacher:Given a passage with a question and an answer to that question, classify if the answer actually answers the question into 'yes' or 'no'. Output 'yes' if the answer answers the question and output 'no' if the answer does not answer the question.\nTeacher: Now, understand the problem? Solve this instance: Question: Is vitamin D deficiency in mycosis fungoides and Sézary syndrome patients similar to other cancer patients?\nAnswer: To our knowledge,this is the first study of vitamin D status in CTCL patients. Vitamin D deficiency was present in CTCL and other cancer patients compared with normal and historical controls. Correction of vitamin D deficiency and type of vitamin D supplementation used did not affect the overall clinical disease response.\nStudent:"
},
{
"from": "gpt",
"value": "yes"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Persian, and your task is to translate it into English.\n\nدر بدترين لحظات هم ميتونن پيدا بشن ."
},
{
"from": "gpt",
"value": "even in the darkest of times ."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given reviews written about the restaurants in Bengali. You are expected to classify the sentiment of the reviews into two classes: positive or negative.\n\nমুরগির পছন্দ ওয়ান্ডারফুল\n"
},
{
"from": "gpt",
"value": "positive"
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nIn this task, you have to generate the title of the recipe given its required ingredients and directions.\n\ningredients: '2 slice Bacon', '1/2 Onion', '4 tbsp Ketchup', '1 dash Salt and pepper', '1 Soup stock cube', '1 tsp Sugar', '1 tsp Soy sauce', '1 tsp Worcestershire sauce', '3 Eggs', '1 tsp Sugar', '1 pinch Salt', '1 tbsp Katakuriko slurry', '1 Nori seaweed', '1 dash Vegetable oil', '4 servings Cooked rice',<sep> directions: 'Dice the onion and cut the bacon into 5 mm squares.', 'If you're using leftover rice, microwave it.', 'Heat margarine in a pan, then mix in the onion and bacon.', 'Add in all the ingredients marked with a , along with the rice.', 'Prepare a bowl for later.', 'Mix together everything marked with a , including the eggs.', 'Strain the egg mixture through a sieve; the resulting eggs will look beautiful.', 'In a pan with a little vegetable oil, cook the egg mixture.', 'My style is to pour it in and cook on high heat for 3 seconds, then remove from heat completely, letting the residual heat finish the cooking.', 'Place the cooked egg on plastic wrap, then add the prepared chicken rice on top.', 'Form it into a ball shape.', 'Finally, add on the mouth and eyes using cut pieces of nori seaweed.', 'Delicious!'\nOutput:"
},
{
"from": "gpt",
"value": "Halloween Omurice with Leftover Rice"
}
] |
[
{
"from": "human",
"value": "You will be given a context, a subject and a relation. Your task is to generate a question based on the subject and relation. The generated question should include the given subject. Try to use a minimum number of words that are not present in either context, subject or relation while generating question.\n\nContext : The Åbo Bloodbath of 10 November 1599 was a public execution in the Finnish town of Åbo (Turku), then part of the Kingdom of Sweden, in the context of the War against Sigismund and the Club War. \nSubject : Åbo Bloodbath \nRelation : point in time\nThe date of Åbo Bloodbath was what?\n\nContext : Lumileds Lighting was formed in November 1999 as a joint venture between Philips Lighting and Agilent Technologies. \nSubject : Lumileds \nRelation : parent company\nWhat company is Lumileds part of?\n\nContext : Abdur Rahman Chughtai (1897--1975) was a painter and intellectual from Pakistan, who created his own unique, distinctive painting style influenced by Mughal art, miniature painting, Art Nouveau and Islamic art traditions. \nSubject : Abdur Rahman Chughtai \nRelation : date of death\n"
},
{
"from": "gpt",
"value": "What was the date of death for Abdur Rahman Chughtai?\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.\nA text is given in Gujarati. Translate it from the Gujarati language to the Urdu language. The translation must not omit or add information to the original sentence.\n\nنئی دہلی،13۔اپریل ۔ صدر جمہوریہ جناب پرنب مکھرجی نے راشٹرپتی بھون میں منعقد ایک تقریبِ تقسیم اعزازات میں پدم وبھوشن ، پدم بھوشن اور پدم شری ایوارڈ ز پیش کئےم ن ۔س ش۔ رم\nSolution: નવી દિલ્હી, 13.apple.પ્રમુખ રિપબ્લિકન શ્રી પ્રણવ મુખર્જીએ રાજસ્થાન ભવન, પદમુ, પદમ ભૂષણ અને પદ્મ શ્રી પુરસ્કારમાં એક સમારંભ યોજ્યો હતો.રિમ\nWhy? Correct translation for given sentence. Input sentence means 'New Delhi, 13.Apple.President republican Mr. Pranab Mukherjee held a ceremony held in Rajasthan Bhawan, Padmu, Padam Bhushan and Padma Shri Award.Rim' which is the same as the output sentence.\n\nNew input: اس سے پہلے سابق فوجیوں کی ایک وسیع ریلی سے خطاب کرتے ہوئے وزیراعظم نے کہا کہ یہ لاکھوں فوجیوں کی بہادری اور خود کو وقف کردینے کا نتیجہ ہے کہ بھارتی فوج کو آج دنیا کی سب سے مضبوط افواج میں سے ایک ماناجاتا ہے۔\nSolution:"
},
{
"from": "gpt",
"value": "આ અગાઉ ભૂતપૂર્વ સૈનિકોની વિશાળ રેલીને સંબોધિત કરતાં પ્રધાનમંત્રીએ કહ્યું હતું કે, આ લાખો સૈનિકોનાં પરાક્રમ અને સમર્પણનું પરિણામ છે કે ભારતીય સેનાને આજે દુનિયાનાં મજબૂત સેનાઓમાંની એક માનવામાં આવે છે."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in Persian, and your task is to translate it into English.\n\nنقاشی دیواری در زمین بازی بوداپست; photo courtesy of Alternative Budapest."
},
{
"from": "gpt",
"value": "@JanosBako: Nature taking back the city #streetart #Budapest pic.twitter.com/h7G50Vt2cz"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Galician. Your job is to translate the Galician sentence into Polish.\n\n[EX Q]: Pero ela tamén atopou osteocitos, que son as células que deixan os ósos.\n[EX A]: Odnalazła także osteocyty, znajdujące się wewnątrz kości.\n\n[EX Q]: Entón, para chegar a 100 anos, non só debes ter un estilo de vida moi bo, tamén tivo que tocarche a lotería xenética.\n[EX A]: Więc żeby dożyć 100 lat, nie tylko musisz prowadzić odpowiedni styl życia ale także wygrać na genetycznej loterii.\n\n[EX Q]: Sacou a lingua para quitar os vermes e non lastimalos.\n[EX A]:"
},
{
"from": "gpt",
"value": "Wysuwa język, by usunąć robaki, tak aby ich nie uszkodzić.\n\n"
}
] |
[
{
"from": "human",
"value": "A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.\n\nExample Input: 41 ملین ٹن کے مقابلے قابل ذکر طور پر 4.\nExample Output: Production of rice has increased significantly by 4.\n\nExample Input: اسمارٹ سٹیز مشن کا مقصد شہروں کو فروغ دینا ہے جس کے تحت کلیدی نوعیت کا بنیادی ڈھانچہ فراہم کرایا جائے اور متعلقہ شہروں میں عمدہ معیار زندگی قائم کیا جائے۔ نیز ایک صاف ستھرا اور مستقل ماحول ہو اور اسمارٹ سولوشنز کا اطلاق کیا جائے۔\nExample Output: The Smart Cities Mission aimed at promoting cities that provide core infrastructure and give a decent quality of life to its citizens, a clean and sustainable environment and application of Smart Solutions.\n\nExample Input: این ڈی آر ایف کی بٹالین 2006 میں قائم کی گئی تھی اور یہ بچاؤ اور فوری کارروائی کی خصوصی فورس ہے جو قومی دارالحکومت خطے( این سی آر)، اتراکھنڈ، مغربی اترپردیش اور ہریانہ کے وسیع علاقہ کااحاطہ کرتی ہیں۔\nExample Output:"
},
{
"from": "gpt",
"value": "51 lakh: The 8th Battalion of NDRF was raised in 2006 and is a highly specialised Rescue and Response Force with large area of responsibility covering National Capital Region (NCR), Uttarakhand, Western UP Haryana.\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you will be shown a prompt from a judicial decision and multiple holding statements derived from citations following text in a legal decision. Holdings represent the governing legal rule when the law is applied to a particular set of facts. There are five answer choices for each citing text. The correct answer is the holding statement that corresponds to the citing text. The four incorrect answers are other holding statements. You should find the correct option. There is a <HOLDING> token in the position of the citing text prompt where the holding statement was extracted.\n--------\nQuestion: to exempt every alien who seeks to adjust his or her status under § 245(i) after illegally reentering the United States following removal. Where Congress intended § 241(a)(5) not to pose a barrier to adjustment of status for aliens who illegally reentered the United States, it made a special exception to the general rule. Because Lino does not fall within the exception, she is bound by the general rule disqualifying aliens who illegally reentered the country from seeking adjustment of status. Finally, six circuits have held that § 241(a)(5) precludes aliens subject to reinstatement orders from obtaining adjustment of status pursuant to § 245(i). See De Sandoval v. U.S. Attorney Gen., 440 F.3d 1276, 1284-85 (11th Cir.2006); Berrum-Garcia v. Comfort, 390 F.3d 1158, 1163 (10th Cir.2004) (<HOLDING>); Lattab v. Ashcroft, 384 F.3d 8, 21 (1st \n Holding statements: (A) holding that trial court did not have jurisdiction to order reinstatement of previously dismissed action and thus reinstatement order was void and of no effect and previous order of dismissal was still in effect (B) holding that petitioners claim is not one to the attorney generals decision or action to execute a removal order either since the facts relevant to their claim took place well before any decision by the attorney general to execute a removal order (C) holding that once a petitioners prior removal order has been reinstated he no longer qualifies for any relief under the ina regardless of whether his application was filed before or after the reinstatement decision was made (D) holding that since the basis for the respondents order of removal and the denial of relief no longer exists the respondent has presented exceptional circumstances justifying reopening (E) holding that a federal court must order arbitration once it is satisfied that an agreement for arbitration has been made and has not been honored\n\nAnswer: (C)\n\n\nQuestion: Under section 22.011(c), a “child” is a person “younger than 17 years of age who is not the spouse of the actor.” Id. 22.011(c)(1). A “spouse” means a person who is legally married to another. Id. 22.011(c)(2). Legal marriage in Texas requires a marriage license or proof of an informal marriage. See Tex. Fam.Code Ann. §§ 2.001(b), 2.401 (Vernon 2006). A marriage license may not be issued for the marriage of persons of the same sex. See Tex. Fam.Code Ann. § 2.001(b). An informal marriage is solely recognized between a man and a woman. Id. § 2.401. Here, because the State clearly showed that J.B. is a male and that appellant is male, the evidence is legally sufficient to prove that appellant was not married to J.B. See Jacques v. State, 579 S.W.2d 247, 248-49 (Tex.Crim.App.1979) (<HOLDING>); Henson v. State, 638 S.W.2d 504, 505 \n Holding statements: (A) holding that money invested in voluntary investment plan during marriage was marital property because it was property acquired during marriage (B) holding that the law to be applied in determining the validity of an outofstate marriage is the law of the state in which the marriage occurred (C) recognizing that basis for deportation was aliens misrepresentation about his marriage not the validity of his marriage (D) holding husband could not have marriage annulled because wife was pregnant by him at time of marriage (E) holding that appellants substantive rights were not prejudiced by omission in indictment that complainant was not the spouse of the defendant because it had been clearly shown that both appellant and complainant were male and that they could not have obtained marriage license nor entered into commonlaw marriage\n\nAnswer: (E)\n\n\nQuestion: Am. v. Dale, 530 U.S. at 648, 120 S.Ct. 2446. To determine whether a group is protected by the First Amendment’s expressive associational right, we must' determine whether, the group engages in ‘expressive association.’ ■ The First Amendment’s protection of éxpressive association is not reserved for advocacy groups. But to come within its ambit, a group must engage in some form of expression, whether it be public or private. Because A.M. does not allege that the Individual DOH Defendants restricted her ability to associate for an expressive purpose — like voting, protesting, or otherwise organizing for political, educational, economic,' civic, or religious functions — she has failed to state a plausible claim. Cf. Healy v. James, 408 U.S. 169, 181, 92 S.Ct. 2338, 33 L.Ed.2d 266 (1972) (<HOLDING>); NAACP v. Claiborne Hardware Co., 458 U.S. \n Holding statements: (A) holding that persecution was on account of political opinion because petitioners prosecutorial investigation into acts of political corruption was by its very nature political (B) recognizing women as a distinct group (C) holding that attempted conscription by a guatemalan guerrilla group did not constitute persecution on account of a political opinion where petitioner failed to show that the group was motivated by his political opinion (D) holding that refusal to join guerrilla group is itself not affirmative expression of political opinion (E) recognizing a right to organize campus political group\n\nAnswer:"
},
{
"from": "gpt",
"value": "(E)\n\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.\nGiven a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.\n\nChronic 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).\nSolution: 1\nWhy? There is a line in the passage which say 'The aim of this study was...' which suggests that it is talking about a specific aim. Hence, the output should be 1 as this passage has a definite aim.\n\nNew input: Immunoglobulin-A nephropathy (IgAN) is the most common chronic glomerulonephritis worldwide. Many clinical and histopathological risk factors for progression have been found previously. Recently, metabolic risk factors, such as hyperuricaemia and hypertriglyceridaemia, also have been associated with the progression of IgAN.', 'In the present study we correlated clinical and metabolic risk factors with histopathological parameters in 202 patients with IgAN. Morphological changes in glomerular, tubulointerstitial and vascular tissue were semiquantitatively graded into three classes. Mesangial proliferation activity and the amount of inflammatory cells were also evaluated by immunohistochemical staining of Ki-67 (MIB-1), CD45 (LCA) and CD68 stainings. Serum uric acid, triglycerides and cholesterol, urine protein excretion (UPE), blood pressure and body mass index (BMI) were measured. Smoking habits and occurrence of diabetes mellitus also were evaluated. The independent role of serum uric acid in the development of renal morphological changes was evaluated in multivariate analysis.', 'Serum uric acid and UPE level correlated with several histological parameters. Uric acid level showed the strongest correlation with tubulointerstitial changes and UPE with glomerulosclerosis. The level of serum triglycerides correlated with interstitial fibrosis and hyaline arteriolosclerosis. Blood pressure correlated with hyaline arteriolosclerosis, glomerulosclerosis and tubulointerstitial changes. BMI and diabetes mellitus correlated with both tubulointerstitial and vascular changes. We found no significant correlations between histopathological parameters and smoking habits or serum cholesterol level. Serum uric acid had independent associations with the presence of tubular atrophy and interstitial fibrosis and inflammation.\nSolution:"
},
{
"from": "gpt",
"value": "0"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a set of context paragraph and some supporting facts to answer a question. Your task is to generate answer for given question based on set of context paragraphs and supporting facts.\nTeacher: Now, understand the problem? Solve this instance: Context_1 : Mr. Vampire II, also known as Mr. Vampire Part 2, is a 1986 Hong Kong comedy horror film directed by Ricky Lau, starring Yuen Biao, Moon Lee and Lam Ching-ying, and produced by Sammo Hung. The film is the second of a series of five films directed by Ricky Lau in the \"Mr. Vampire\" franchise. \"Mr. Vampire\" and its sequels were released as part of the jiangshi cinematic boom in Hong Kong during the 1980s. The Chinese title of the film literally translates to Vampire Family. Context_2 : Mr. Vampire is a 1985 Hong Kong comedy horror film directed by Ricky Lau in his directorial debut, and also produced by Sammo Hung. The film's box office success led to the creation of a \"Mr. Vampire\" franchise, with the release of four sequels directed by Ricky Lau from 1986 to 1992, and subsequent similarly themed films with different directors released between 1987 and 1991. The vampire of the film is based on the jiangshi, the hopping corpses of Chinese folklore. The film was released under the Chinese title 暫時停止呼吸 (literally: \"Hold Your Breath for a Moment\") in Taiwan. The film was the breakthrough success of the jiangshi genre, a trend popular in Hong Kong during the 1980s, and established many of the genre's recognisable tropes. Context_3 : The Ultimate Vampire (殭屍至尊) is a 1991 Hong Kong film directed by Wilson Tong and starring Lam Ching-ying and Chin Siu-ho. It is a spin-off of the 1985 Hong Kong movie Mr. Vampire, Lam Ching-ying reprises his role as a Taoist Priest. Context_4 : The Musical Vampire (音樂殭屍) is a 1992 Hong Kong film directed by Wilson Tong and starring Lam Ching-ying. It is a spin-off of the 1985 Hong Kong movie Mr. Vampire, Lam Ching-ying reprises his role as a Taoist Priest. Context_5 : Vampire Expert is 1995 Hong Kong television series produced by ATV and starring Lam Ching-ying. The two-season series served as a transition from film to television for the 1980s Hong Kong Chinese vampire film franchise. A third season was planned, but due to the poor health and subsequent death of lead actor Lam Ching-ying, the series was cancelled in 1996. Context_6 : Mr. Vampire 1992, also known as Chinese Vampire Story, is a 1992 Hong Kong comedy horror film directed by Ricky Lau. The film is the fifth of a series of five jiangshi films directed by Ricky Lau in the \"Mr. Vampire\" franchise. The Chinese title of the film literally translates to New Mr. Vampire. Context_7 : Lam Ching Ying (; birth name: Lam Gun-bo 林根寶; 27 December 1952 – 8 November 1997) was a Hong Kong stuntman, actor, film producer, action director and director. A physically talented and graceful martial artist, Lam was best known for playing the stoic Taoist priest in \"Mr. Vampire\" (1985). He had a reputation for being disciplined, headstrong, restrained, and self-willed. As an actor, action choreographer, martial artist, and teacher he touched many people with his candor and uncompromising professionalism. He left behind a lasting cinematic legacy, which can be enjoyed and respected by generations all over the world. Lam died in 1997 of liver cancer. Context_8 : Vampire Vs Vampire (一眉道人) is a 1989 Hong Kong comedy horror film directed by and starring Lam Ching-ying. The title references the interaction in the film between a jiangshi child, a creature from Chinese \"hopping\" corpse fiction, and a British vampire based on Western vampire fiction. Context_9 : Mr. Vampire IV, also known as Mr. Vampire Saga Four, is a 1988 Hong Kong comedy horror film directed by Ricky Lau and produced by Sammo Hung and Jessica Chan. The film is the fourth of a series of five films directed by Ricky Lau in the \"Mr. Vampire\" franchise. \"Mr. Vampire\" and its sequels were released as part of the jiangshi cinematic boom in Hong Kong during the 1980s. The Chinese title of the film literally translates to Uncle Vampire. Context_10 : Exorcist Master (驅魔道長) is a 1992 Hong Kong film directed by Wu Ma and starring Wu Ma and Lam Ching-ying. It is a spin-off of the 1985 Hong Kong movie Mr. Vampire, Lam Ching-ying reprises his role as a Taoist Priest. fact_1 : Lam Ching Ying (; birth name: Lam Gun-bo 林根寶; 27 December 1952 – 8 November 1997) was a Hong Kong stuntman, actor, film producer, action director and director. fact_2 : A physically talented and graceful martial artist, Lam was best known for playing the stoic Taoist priest in \"Mr. Vampire\" (1985). fact_3 : Mr. Vampire is a 1985 Hong Kong comedy horror film directed by Ricky Lau in his directorial debut, and also produced by Sammo Hung. Question: What is the name of this 1985 Hong Kong comedy horror film directed by Ricky Lau and starring Lam Ching-ying as a priest?\nStudent:"
},
{
"from": "gpt",
"value": "Mr. Vampire"
}
] |
[
{
"from": "human",
"value": "Given a sentence in Arabic, generate a new Arabic 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.\nExample: يمكنك أن تُسدّد محفظة بطاقة إئتمان لحمل كل بطاقات إئتمانك\nExample solution: يمكنك تحميل محفظة بطاقة إئتمان لحمل كل بطاقات إئتمانك.\nExample explanation: 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.\n\nProblem: « لتذهب إلى هراوة » صيحة « لأن » مخففة من الثقيلة واسمها محذوف ، أي لأن « تريد أن تقضي مع الإخوة » أي الإخوان « وقتا » وقتا طويلا.\n"
},
{
"from": "gpt",
"value": "Solution: كنت تذهب إلى حزب لأنك تريد أن تدور في وقت مع الأصدقاء."
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the english language. Here, your job is to convert english sentence into the bulgarian language.\n\nI have recently been struck by the way that several Czech insurance companies have discontinued the provision of bonuses paid to women who take out compulsory car insurance policies."
},
{
"from": "gpt",
"value": "Неотдавна ми направи силно впечатление начинът, по който няколко чешки застрахователни дружества преустановиха предоставянето на бонуси, изплащани на жените, които закупуват задължителни автомобилни застрахователни полици."
}
] |
[
{
"from": "human",
"value": "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.\n\nExample input: Passage: The French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Native American allies. At the start of the war, the French North American colonies had a population of roughly 60,000 European settlers, compared with 2 million in the British North American colonies. The outnumbered French particularly depended on the Indians. Long in conflict, the metropole nations declared war on each other in 1756, escalating the war from a regional affair into an intercontinental conflict. Question: When was the French and Indian War?\nExample output: 1754-1763\nExample explanation: It is a common convention to write (start year-end year) beside a historical event to understand when the event happened. We can observe a similar notation from the passage to conclude that the French and Indian War happened during 1754–1763. Therefore, the answer is 1754–1763.\nQ: Passage: Logan Airport, located in East Boston and operated by the Massachusetts Port Authority (Massport), is Boston's principal airport. Nearby general aviation airports are Beverly Municipal Airport to the north, Hanscom Field to the west, and Norwood Memorial Airport to the south. Massport also operates several major facilities within the Port of Boston, including a cruise ship terminal and facilities to handle bulk and container cargo in South Boston, and other facilities in Charlestown and East Boston. Question: What airport is south of Logan Airport?\nA:"
},
{
"from": "gpt",
"value": "Norwood Memorial Airport"
}
] |
[
{
"from": "human",
"value": "Q: You are given a sentence in English. Your job is to translate the English sentence into Arabic.\nAnd it's largely what you would find in these books.\nA:"
},
{
"from": "gpt",
"value": "وهو ماسوف تجده بشكل واسع في تلك الكتب."
}
] |
[
{
"from": "human",
"value": "This task is about translating a given French language sentence to English.\n--------\nQuestion: 600 dollars, c'est arrivé il y a deux jours.\n\nAnswer: 600 bucks, happened two days ago.\n\n\nQuestion: Attrape le, Lee Tae Ik !\n\nAnswer: Grab him, Lee Tae Ik!\n\n\nQuestion: - Oui.\n\nAnswer:"
},
{
"from": "gpt",
"value": "- Yes.\n\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a statement written in Marathi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .\n\nInput: Consider Input: Statement: पोर्तुगीजांनी केप मार्गाचा शोध लावल्याने भारताकडे जाणाऱ्या नवीन सागरी मार्गांचा वापर करणारे पोर्तुगाल हे पहिले पश्चिम युरोपीय राष्ट्र ठरले. वास्को द गामाच्या भारतातील यशस्वी मोहिमेनंतर पेड्रो अल्वारेझ कॅब्रल याच्या नेतृत्वाखाली पोर्तुगालने दुसरी व्यापारी मोहीम काढली. तो पोर्तुगालची राजधानी <MASK> येथून १३ जहाजांमधून १२०० खलाशांचा तांडा ९ मार्च, इ.स. १५०० रोजी भारताकडे निघाला. पुढे सागर सफरीत वाईट हवामानामुळे जहाजांचा हा काफिला भरकटला व ब्राझीलकडे गेला. तिथून तो भारताकडे वळला आणि १३ सप्टेंबर, इ.स. १५०० रोजी कालिकत येथे पोहोचला.\n\n Option A: लिस्बन\n\n Option B: दिल्ली\n\n Option C: इटली\n\n Option D: पोर्तुगाल\n\nOutput: लिस्बन\n\n\nInput: Consider Input: Statement: वॉल्टर फ्रेडरिक मॉन्डेल (Walter Frederick Mondale; जन्म: ) हा एक <MASK> राजकारणी व अमेरिकेचा ४२वा उपराष्ट्राध्यक्ष होता. डेमोक्रॅटिक पक्षाचा सदस्य असलेला मॉन्डेल १९७७ ते १९८१ दरम्यान राष्ट्राध्यक्ष जिमी कार्टर ह्याच्या प्रशासनामध्ये उपराष्ट्राध्यक्षपदावर होता. त्यापूर्वी तो १९६४ ते १९७६ दरम्यान सेनेटर (मिनेसोटा राज्यातून) होता.\n\n Option A: लिब्या\n\n Option B: सेनेटर\n\n Option C: अमेरिकन\n\n Option D: मिनेसोटा\n\nOutput: अमेरिकन\n\n\nInput: Consider Input: Statement: असामोआह ग्यान (Asamoah Gyan; जन्म: , आक्रा) हा <MASK> देशाचा एक फुटबॉलपटू आहे. २००३ पासून राष्ट्रीय संघाचा भाग असलेला ग्यान २००६, २०१० व २०१४ फिफा विश्वचषक स्पर्धांमध्ये घानाकडून खेळला आहे.\n\n Option A: महाराष्ट्रा\n\n Option B: घाना\n\n Option C: इटली\n\n Option D: फ्रान्स\n\n"
},
{
"from": "gpt",
"value": "Output: घाना\n\n\n"
}
] |
[
{
"from": "human",
"value": "A text is given in Gujarati. Translate it from the Gujarati language to the Malayalam language. The translation must not omit or add information to the original sentence.\nExample: ઊર્જાનો પુરવઠો, ઊર્જાનાં સ્રોતો અને ઊર્જાનાં વપરાશની પદ્ધતિઓ બદલાઈ રહી છે\nExample solution: Energy ർജ്ജ വിതരണ, energy ർജ്ജ സ്രോതസ്സുകൾ, energy ർജ്ജ ഉപഭോഗ രീതികൾ മാറുകയാണ്\nExample explanation: Correct translation for given sentence. Input sentence means 'Energy supply, energy sources and energy consumption methods are changing' which is the same as the output sentence.\n\nProblem: તમે કલ્પના કરી શકો છો, દેશના વડાપ્રધાનને કોઈ પત્ર લખે, પરંતુ પોતાને માટે કંઈ માંગે નહીં, આ દેશના કરોડો લોકોની ભાવના કેટલી ઉંચી હશે.\n"
},
{
"from": "gpt",
"value": "Solution: രാജ്യത്തെ പ്രധാനമന്ത്രിക്ക് കത്തെഴുതുക, എന്നാല് തനിക്കായി ഒന്നും ചോദിക്കാതിരിക്കുക എന്നിരിക്കെ ഈ കോടിക്കണക്കിനു ജനങ്ങളുടെ മനോവികാരം എത്ര ഉയര്ന്ന തലത്തിലാണെന്നു നിങ്ങള്ക്കു ചിന്തിക്കാവുന്നതാണ്."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.\n\nQ: E 'un vecchio esperimento ma ancora molto valido perché semplice, e dunque facile da raccontare.\n\nA: אז זהו ניסוי ישן, אבל הוא מצויין, כי הוא היה מאד פשוט, אז קל מאד לספר עליו.\n****\nQ: Cos'è un calendario?\n\nA: מה הוא לוח שנה?\n****\nQ: Anzi, nessuno deve stare in piedi in fondo all'aula magna.\n\nA:"
},
{
"from": "gpt",
"value": "למעשה, אף אחד לא צריך לעמוד בירכתי אולם ההרצאות.\n****\n"
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into English.\nPROBLEM: علينا أن نكون في ال18 للخوض في سوق الأسهم.\n\nSOLUTION: You have to be 18 to play the stock market.\n\nPROBLEM: و لم نكن نعلم ان الاستخبارات المريكية تتخذ مواقف متطرف مثل التسلل لهيئات التقييس لتخريب خوارزميات التشفير على اي غرض\n\nSOLUTION: And we did not know that U.S. intelligence agencies go to extremes such as infiltrating standardization bodies to sabotage encryption algorithms on purpose.\n\nPROBLEM: هذه هي حتماً, النقطة التي يبتعد فيها الفنانون عن المهندسون.\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "Now this is really where designers in car business diverge from the engineers.\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you will be presented with a question having multiple possible answers in Vietnamese language. And you should choose a most suitable option out of \"A\", \"B\", \"C\", \"D\", and \"E\" based on your commonsense knowledge.\nTeacher: Now, understand the problem? Solve this instance: Question: Nếu ai đó có một bữa trưa ngon lành thì họ có khả năng yêu cầu gì? \n Options: A trở nên mệt mỏi B cảm thấy hài lòng C cảm thấy no D sợ hãi E buồn ngủ \nStudent:"
},
{
"from": "gpt",
"value": "B"
}
] |
[
{
"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\n[Q]: Paragraph: Background: The purpose of this study is to determine the incidence and significance of hypouricemia in patients with severe acute respiratory syndrome (SARS). Pulmonary lesions in patients with SARS are thought to result from proinflammatory cytokine dysregulation. Acute renal failure has been reported in patients with SARS, but whether cytokines can injure renal tubules is unknown. Methods: Sixty patients diagnosed with SARS in Taiwan in April 2003 were studied. Patients were identified as hypouricemic when their serum uric acid (UA) level was less than 2.5 mg/dL (<149 mol/L) within 15 days after fever onset. Urine UA and creatinine levels were available for 43 patients; the serum cytokines interleukin-6 (IL-6), IL-8, and tumor necrosis factor-␣ (TNF-␣) were measured in 16 patients. Results: Sixteen patients (26.7%) had hypouricemia (UA, 1.68 ؎ 0.52 mg/dL [100 ؎ 31 mol/L]). No differences in age, sex, symptoms, vital signs, hemogram, or other biochemistry data existed between the hypouricemic and normouricemic groups. Fractional excretion (FE) of UA (FE UA ) in 12 hypouricemic patients was 39.6% ؎ 23.4%, significantly greater than that of 31 normouricemic patients (16.4% ؎ 11.4%; P < 0.0001). After adjustments for age and sex, high FE UA was significantly associated with the lowest blood oxygenation (P ؍ 0.001; r ؍ ؊0.624). The number of catastrophic outcomes (endotracheal intubation and/or death) adjusted for older age and sex showed that hypouremic patients had an odds ratio of 10.57 (confidence interval, 2.33 to 47.98; P ؍ 0.002). Kaplan-Meier curves for catastrophic outcome-free results showed significant differences between patients with normouricemia or hypouricemia (P ؍ 0.01). Serum IL-8 levels correlated significantly with FE UA (P < 0.001; r ؍ 0.785) and inversely with serum UA level (P ؍ 0.044; r ؍ ؊0.509); neither IL-6 nor TNF-␣ level showed such correlations. Conclusion: One fourth of patients with SARS developed hypouricemia, which might result from a defect in renal UA handling and was associated with a high serum IL-8 level. Renal hypouricemia is an ominous sign in patients with SARS. Am J Kidney Dis 45:88 -95. \n Title: Renal Hypouricemia Is an Ominous Sign in Patients With Severe Acute Respiratory Syndrome\n[A]: True\n\n\n[Q]: Paragraph: Cytokine expression patterns of T cells can be regulated by pre-commitment to stable effector phenotypes, further modification of moderately stable phenotypes, and quantitative changes in cytokine production in response to acute signals. We showed previously that the epidermal growth factor family member Amphiregulin is expressed by T cell receptor-activated mouse CD4 T cells, particularly Th2 cells, and helps eliminate helminth infection. Here we report a detailed analysis of the regulation of Amphiregulin expression by human T cell subsets. Signaling through the T cell receptor induced Amphiregulin expression by most or all T cell subsets in human peripheral blood, including naive and memory CD4 and CD8 T cells, Th1 and Th2 in vitro T cell lines, and subsets of memory CD4 T cells expressing several different chemokine receptors and cytokines. In these different T cell types, Amphiregulin synthesis was inhibited by an antagonist of protein kinase A, a downstream component of the cAMP signaling pathway, and enhanced by ligands that increased cAMP or directly activated protein kinase A. Prostaglandin E2 and adenosine, natural ligands that stimulate adenylyl cyclase activity, also enhanced Amphiregulin synthesis while reducing synthesis of most other cytokines. Thus, in contrast to mouse T cells, Amphiregulin synthesis by human T cells is regulated more by acute signals than precommitment of T cells to a particular cytokine pattern. This may be appropriate for a cytokine more involved in repair than attack functions during most inflammatory responses. \n Title: The Acute Environment, Rather than T Cell Subset Pre- Commitment, Regulates Expression of the Human T Cell Cytokine Amphiregulin\n[A]: False\n\n\n[Q]: Paragraph: On Thursday, 30 January 2020, World Health Organization declared Coronavirus disease-2019 (COVID-2019) a Public Health Emergency of International Concern. Since its identification in late December 2019 in Wuhan, Hubei Province, People's Republic of China, the number of cases imported into other countries is increasing, and the epidemiological map is changing rapidly. On the other hand, body temperature screening (fever) is the major test performed at points of entry, i.e., airports, in the returning travelers in most of the countries with limited resources. However, the recent report on asymptomatic contact transmission of COVID-19 and travelers who passed the symptoms-based screening and tested positive for COVID-19 using reverse transcription polymerase chain reaction (RT-PCR) challenges this approach as body temperature screening may miss travelers incubating the disease or travelers concealing fever during travel. On this note, travel restrictions to and from high risk areas and/or 14 days quarantine of travelers coming from high risk areas are recommended to prevent possible importation of COVID-19. Currently, RT-PCR is a reliable test in detecting both symptomatic and asymptomatic COVID-19. \n Title: Coronavirus disease-2019: is fever an adequate screening for the returning travelers?\n[A]:"
},
{
"from": "gpt",
"value": "True\n\n\n"
}
] |
[
{
"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 shown a Persian passage and question. You need to write a answer for the question. Try to keep your answers as short as possible.\n\nرابرت دنیرو هنرپیشه، کارگردان و تهیهکننده آمریکایی است. از اولین فیلمهای خوب وی میتوان به فیلم خیابانهای پایین شهر اشاره نمود. بعد از عدم دریافت نقش سانتینو کورلئونه (سانی) در فیلم پدرخوانده، نقش ویتو کورلئونه در قسمت دوم همین فیلم به وی داده شد. وی برنده جایزه اسکار بهترین نقش مکمل مرد به خاطر بازی در این فیلم شد. همکاری وی با مارتین اسکورسیزی، کارگردان مشهور آمریکایی، از فیلم خیابانهای پایین شهر شروع شد و بعد از آن این دو چندین فیلم دیگر را نیز با کمک یکدیگر ساختند که از آن جمله میتوان به فیلم گاو خشمگین اشاره نمود، نقشی که رابرت بخاطر بازی در آن موفق به دریافت جایزه اسکار بهترین بازیگر شد. از دیگر فیلمهای این دو فیلمهایی همچون راننده تاکسی و تنگه وحشت است که بخاطر بازی در هردوی آنها وی نامزد دریافت جایزه اسکار شد. فیلم شکارچی گوزن نیز وی را نامزد دریافت جایزه اسکار نمود. کارگردان این فیلم، مایکل چیمینو بود. رابرت دِنیرو به عنوان یکی از بزرگترین و استثناییترین بازیگران تاریخ سینما شناخته میشود. وی تاکنون در بیش از نود فیلم در طول دوران فعالیتش ظاهر شدهاست. \n Question: رابرت دنیرو چندتا فیلم بازی کرده؟\nOutput:"
},
{
"from": "gpt",
"value": "نود فیلم"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Japanese.\nOne example: מה מייחד את המוח האנושי?\nSolution is here: 人の脳の何がそんなに特別なのでしょうか ？\nExplanation: The Hebrew sentence is correctly translated into Japanese. They both refer to the human brain.\n\nNow, solve this: ובכן, אנו הופכים אותה לתעודת ידע, תעודת ידע גלובלית, שהנכם יכולים להשתמש בה, אם אתם ארגון גדול, בית ספר, אוניברסיטה, או אולי סוכנות חדשות, כדי להסמיך את עצמכם כמודעים עולמית.\nSolution:"
},
{
"from": "gpt",
"value": "世界に関する知識の認定試験をするんです大きな組織や学校大学あるいは報道機関なんかで知識の確認をするのに使えるでしょう"
}
] |
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