Search is not available for this dataset
conversations
listlengths 2
2
|
|---|
[
{
"from": "human",
"value": "TASK DEFINITION: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into English.\nPROBLEM: Eu uso o vime natural, porque o vime tem muita tensão que não consigo controlar totalmente.\n\nSOLUTION: I use natural reed, because natural reed has a lot of tension in it that I cannot fully control.\n\nPROBLEM: Depois geri um restaurante, e depois escorreguei em coisas.\n\nSOLUTION: And then I managed a restaurant, and then I slipped on things.\n\nPROBLEM: Claro que terão de ser mais eficientes a nível energético.\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "Of course they must be more energy-efficient.\n\n"
}
] |
[
{
"from": "human",
"value": "instruction:\nYou are given a sentence in Spanish. Your job is to translate the Spanish sentence into Arabic.\nquestion:\nAhora hay un par de cosas que les gustaría saber sobre los números primos.\nanswer:\nالآن عدد قليل من الأشياء قد تريد أن تعرفونها حول الإعداد الأولية.\n\n\nquestion:\nSeñora, ¿puede tomar el billete de un dólar?\nanswer:\nسيدتي ، هلا أخذتي ورقة الدولار من فضلك ؟\n\n\nquestion:\nDesde Wall Street hasta Mohammed Mahmoud Street, jamás ha sido tan importante comprender las aspiraciones de la gente común.\nanswer:\n"
},
{
"from": "gpt",
"value": "من وول ستريت لشارع محمد محمود ، لم تكن أبدا أكثر أهمية فهم طموحات الناس العاديين.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nGiven a sentence in the Lao, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.\nExample: ອິຕາລີໄດ້ເສຍໃຫ້ປ໊ອກຕຸຍການ 31 ຕໍ່ 5 ໃນພູລ C ຂອງ ການແຂ່ງຂັນຣັກບີ້ລະດັບໂລກປີ 2007 ທີ່ ປາກເດແພຣັງ ປາຣີ ປະເທດຝຣັ່ງ.\nOutput: フランスのパリ、パルク・デ・プランスで行われた2007年ラグビーワールドカップのプールCで、イタリアは31対5でポルトガルを下した。\nThe Lao sentence is correctly converted into Japanese because the converted sentence holds the message that Italy defeated Portugal 31–5 in Pool C of the 2007 Rugby World Cup at the Parc des Princes in Paris, France. Also, translated sentence preserves the numbers as it is.\n\nNew input case for you: ເມື່ອຖາມວ່າ ມີການດໍາເນີນການທັງໝົດຫລືບໍ່ ໃນມື້ດັ່ງກ່າວ ເພື່ອຮັກສາຊີວິດ ຜູ້ອໍານວຍການບໍລິຫານກົມຂົນສົ່ງ ເມືອງລອນດອນ ແມ່ນຮູ້ສຶກ \"ພູມໃຈຫລາຍ\" ໃນວິທີແກ້ໄຂຕ່າງໆ ທີ່ມີຂຶ້ນໃນຕອນເຊົ້ານັ້ນ.\nOutput:"
},
{
"from": "gpt",
"value": "その日生命を救うために可能なすべてのことがなされたかどうか問われて、ロンドン交通局の責任者はその朝なされた選択を「とても誇りに思う」と述べた。"
}
] |
[
{
"from": "human",
"value": "Given a sentence with a missing word, pick the answer option that best fills out the missing word in the sentence. Indicate each answer with its index ('a', 'b', 'c', 'd').\nQ: Jurisdictions are the name given to the ____ geographic groupings in the United States.\\Question: Choose the right answer from options given a) four b) eight c) five d) one\nA: "
},
{
"from": "gpt",
"value": "c"
}
] |
[
{
"from": "human",
"value": "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.\n\nExample input: 20% हून कमी शेतकऱ्यांना याचा लाभ झाला\nExample output: কম কৃষক ২0% থেকে উপকৃত\nExample explanation: Correct translation for given sentence. Input sentence means 'Less farmers benefited from 20%' which is the same as the output sentence.\nQ: केवळ या एका योजनेमुळे देशाला ३ कोटी नवे स्वयंउद्योजक दिले आहेत.\nA:"
},
{
"from": "gpt",
"value": "শুধু এই একটি প্রকল্পের মাধ্যমে দেশে ৩ কোটি নতুন স্বউদ্যোগী সংস্থা গড়ে উঠেছে।"
}
] |
[
{
"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.\nThis task involves annotating the answer type to a given question that involve some kind of complex reasoning (including numerical reasoning). Note that the questions require looking at more than one part of the passage to answer. There are 3 possible answer types (i) spans, (ii) numbers and (iii) dates. If the answer can be found in the passage, label it as \"span\". If the answer is a number, label as \"number\". Similarly, label \"date\" if you think the answer to the given question is a date.\n\nPassage: The outbreak of the Seven Years' War in Europe in 1756 resulted in renewed conflict between French and British forces in India. The Third Carnatic War spread beyond southern India and into Bengal where British forces captured the French settlement of Chandernagore in 1757. However, the war was decided in the south, where the British successfully defended Madras, and Sir Eyre Coote decisively defeated the French, commanded by Comte de Lally at the Battle of Wandiwash in 1760. After Wandiwash, the French capital of Pondicherry fell to the British in 1761. The war concluded with the signing of the Treaty of Paris in 1763, which returned Chandernagore and Pondichéry to France, and allowed the French to have \"factories\" in India but forbade French traders from administering them. The French agreed to support British client governments, thus ending French ambitions of an Indian empire and making the British the dominant foreign power in India. \nQuestion: Which french settlement did the British capture first, Chandernagore or Pondicherry?\nSolution: span\nWhy? The answer \"Chandernagore\" is a word from the passage. So, the answer type is \"span\".\n\nNew input: Passage: In 1714, Peter the Great sent a party of shipbuilders to Okhotsk to allow faster access to the furs of Kamchatka. In 1715, they built the Vostok and in 1716–17 Kozma Sokolov sailed it to Kamchatka. For the next 145 years Okhotsk was the main Russian seaport on the Pacific, supplying Kamchatka and other coastal settlements. In 1731 the Siberian Military Flotilla was established here. In 1736, Okhotsk was moved two miles downstream to a spit of land at the mouth of the Okhota, converting the ostrog (fortress) into a proper port. Vitus Berings two Pacific expeditions (1725–1729 and 1733–1742) brought in large numbers of people and the first scholars and expert sailors and led to a great deal of building. In 1742 there were 57 buildings, 45 other buildings in the Berings \"expedition settlement\" and eight ships in the harbor. Anton de Vieira, of Portuguese people origin (son of a Jewish father and Christian mother), was the towns governor at that time. From 1737 to 1837 there was a salt works several miles west on the coast that produced 14–36 tons annually. In 1827 it was worked by 150 exiles and about 100 guards and overseers.\nQuestion: Which Vitus Berings Pacific expedition took longer, the one that began in 1725 or the one that began in 1733?\nSolution:"
},
{
"from": "gpt",
"value": "date"
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.\nYou are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Arabic.\n\nסך כל הפעולות של המהדקים על הגדיל הארוך מקפלות אותו לצורה דמויית מלבן.\nSolution: ويمكن اعادة تكرار هذه العملية على طول الشريط لكي نطبق شريط الحمض النووي فنشكل ما يشبه المستطيلات\nWhy? The Hebrew sentence is correctly translated into Arabic, because the meaning is preserved.\n\nNew input: ואם נסובב את ההגה הזה, אתם יכולים לראות את המספרים כאן משתנים בין חיוביים ושליליים.\nSolution:"
},
{
"from": "gpt",
"value": "عندما أدير المقود ، يمكنكم وؤية ذلك العدد هناك يصبح سالباً وموجباً."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Italian.\nProblem:عجيب دفترش غلغله مى شد.\nSolution:"
},
{
"from": "gpt",
"value": "Ragazzi, il suo ufficio straripava."
}
] |
[
{
"from": "human",
"value": "This task is about translating a given English language sentence to Yoruba language.\n\nOn October 10, 2018, Hurricane Michael made landfall in Florida and proceeded to wreak havoc through the southeastern United States."
},
{
"from": "gpt",
"value": "Ní October 10, 2018, ìjì líle kan tí wọ́n pè ní Michael jà ní ìpínlẹ̀ Florida lórílẹ̀-èdè Amẹ́ríkà, ó sì ba nǹkan jẹ́ gan-an láwọn ìpínlẹ̀ tó wà ní gúúsù ìlà oòrùn Ilẹ̀ Amẹ́ríkà."
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Polish. Your job is to translate the Polish sentence into English.\n\nParkinson mnie nie pomniejsza, on mnie dystyluje i lubię tę kobietę, która powstaje w procesie tej destylacji.\nI do not feel diminished by Parkinson's; I feel distilled by it, and I actually very much like the woman I'm distilling into.\n\nKawiarnia, sklep z pamiątkami.\nThere's a cafe and there's a tourist shop.\n\nPamiętacie, że kiedyś wyrzucaliśmy gdzieś rzeczy i wskazywaliśmy na \"\" gdzieś \"\"?\n"
},
{
"from": "gpt",
"value": "Remember we used to throw things away, and we'd point to away?\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Polish. Your job is to translate the Polish sentence into Spanish.\n\nEx Input:\nKraj 1 ma więcej telefonów i lepiej rozwinięty system kolei.\n\nEx Output:\n\"\" País 1 \"\" tiene más teléfonos y un sistema ferroviario más extenso.\n\n\nEx Input:\nI być w stanie, na dużą skalę, monitorować nadchodzącą epidemię przy minimalnym udziale ludzi.\n\nEx Output:\nY se es capaz, a gran escala, de monitorear una epidemia inminente con una participación mínima de la gente.\n\n\nEx Input:\nMogę mówić szczerze.\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Así que, también podría liberarme de ello.\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.\n\n[Q]: And they said unto him, Wherefore saith my lord these words? God forbid that thy servants should do according to this thing:\n[A]: نزد هر کدام از غلامانت یافت شود، بمیرد، و مانیز غلام آقای خود باشیم.»\n\n\n[Q]: And before they were laid down, she came up unto them upon the roof;\n[A]: پس ایشان را با طناب از دریچه پایین کرد، زیرا خانه او بر حصار شهر بود و او بر حصار ساکن بود.\n\n\n[Q]: (Now the man Moses was very meek, above all the men which were upon the face of the earth.)\n[A]:"
},
{
"from": "gpt",
"value": "با وی روبرو و آشکارا و نه در رمزها سخن میگویم، و شبیه خداوند رامعاینه میبیند، پس چرا نترسیدید که بر بنده من موسی شکایت آوردید؟»\n\n\n"
}
] |
[
{
"from": "human",
"value": "instruction:\nYou are given a sentence in Italian. Your job is to translate the Italian sentence into English.\nquestion:\nQuando abbiamo cominciato a raccogliere questi risultati, si è creata, potete immaginare, un po 'di agitazione nella stampa sia scientifica che popolare.\nanswer:\nSo when we started finding these results, as you might imagine, it created quite a bit of stir in the scientific and the popular press.\n\n\nquestion:\nSeconda regola, se prendo uno di questi nomi HTTP e lo cerco e vado sul web, e recupero i dati corrispondenti usando il protocollo HTTP dal web, ne ricaverò dei dati in un formato standard che potrebbero essere dati utili, che potrebbero interessare a qualcuno a proposito di questo o di quell'altro evento.\nanswer:\nSecond rule, if I take one of these HTTP names and I look it up and I do the web thing with it and I fetch the data using the HTTP protocol from the web, I will get back some data in a standard format which is kind of useful data that somebody might like to know about that thing, about that event.\n\n\nquestion:\nSono nata e cresciuta a Homs, una città della Siria centro-orientale e vivo qui da sempre.\nanswer:\n"
},
{
"from": "gpt",
"value": "I was born and raised in Homs, a city in the central western part of Syria, and I've always lived here.\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Hindi language and a corresponding English translation of the Hindi sentence. Your task is to generate a label \"Yes\" if the translation is correct, otherwise generate label \"No\". In the translation, English sentence should preserve the number as it is and it should be in sentence case (capitalize only the first word of each sentence and noun).\nOne example: Hindi: पहले दो को अविश्वसनीय मानकर बाकी पांच मुखबिरों के आधार पर मुकदमा चलाया गया| \n English: The first two were found unreliable and the prosecution case rested mainly on the evidence of the remaining five approvers .\nSolution is here: Yes\nExplanation: Hindi sentence is properly converted into English sentence because the Hindi sentence also says that the first two were judged to be untrustworthy, thus the prosecution relied heavily on the testimony of the remaining five approvers. Also, the translated sentence is in a sentence case.\n\nNow, solve this: Hindi: अदालत ने जब अभियहक़्तों को यह पूछने के लिए बुलाया कि क़्या वे अपराध स्वीकार करते हैं , तो गांधी ने कहा ” मैं अभियोग के हर विषय में अपना अपराध स्वीकार करता हूं । \n English: When the court called upon the accused to state if they plead guilty , Gandhi said : ” I plead guilty on each count of the charge .\nSolution:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Japanese. Your job is to translate the Japanese sentence into Arabic.\nInput: 私は調査を始め男性の前立腺がんが死者数と患者数を比べると女性の乳がんに匹敵することを知りました\nOutput:"
},
{
"from": "gpt",
"value": "فبدأت بالبحث في الموضوع ، واكتشفت بأن سرطان البروستات هو المقابل لسرطان الثدي بناء على عدد الرجال الذين يشّخصون ويموتون بسببه"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Bulgarian language. Here, your job is to convert bulgarian sentence into the english language.\nQ: Това беше преди процедурата Lamfalussy.\nA: "
},
{
"from": "gpt",
"value": "It was also prior to the Lamfalussy process."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.\nQ: In patients with stroke, gradient-echo MRI commonly detects microbleeds, indicating small artery disease with increased risk of macroscopic intracranial bleeding. Antithrombotic treatments are frequently prescribed after TIA and stroke, but there have been no previous studies of microbleeds in TIA. Because microbleeds may predict the hemorrhagic risk of antithrombotic treatments, we studied the prevalence of microbleeds, risk factors, and pathophysiologic mechanisms in patients with ischemic stroke and TIA.', 'One hundred twenty-nine consecutive patients with ischemic stroke or TIA were studied with MRI including T2, fluid-attenuated inversion recovery, and gradient-echo MRI sequences. Blinded observers counted microbleeds and graded white matter T2 hyperintensities throughout the brain. TIA patients with previous ischemic stroke were excluded.', 'Sixty-seven percent of patients had ischemic stroke; 33% had TIA. Microbleeds were found in 23% of ischemic stroke patients but only 2% of TIA patients (p < 0.001). There were no significant differences in conventional risk factors or the severity of white matter disease on T2 MRI between stroke and TIA patients. Patients with microbleeds were more often hypertensive (81 vs 59%; p = 0.04) and had more severe MRI white matter disease on T2 MRI (p = 0.003).\nA:"
},
{
"from": "gpt",
"value": "Are cerebral microbleeds common in ischemic stroke but rare in TIA?"
}
] |
[
{
"from": "human",
"value": "Definition: In this task, you are given a sentence in Persian, and your task is to translate it into English.\nInput: و با اظهار حیرتهای توأم با الفاظی او را گیج و خسته کنند.\nOutput:"
},
{
"from": "gpt",
"value": "and subsequently stunned by a torrent of wordy wonderment."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a sentence in Persian, and your task is to translate it into English.\nSee one example below:\nProblem: سم ، خوبي ، تو حالت خوبه .\nSolution: sam . alright , youre alright .\nExplanation: This is a good example. The above sentence is correctly translated from Persian to English.\n\nProblem: ما حقيقتا به لهجه احتياج نداريم ، مرسي .\nSolution:"
},
{
"from": "gpt",
"value": "we dont really need an accent , thank you ."
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nGiven a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.\nPart 2. Example\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).\nAnswer: Are group 2 innate lymphoid cells ( ILC2s ) increased in chronic rhinosinusitis with nasal polyps or eosinophilia?\nExplanation: The question is based on the following sentences from the passage (i) Group 2 innate lymphoid cells (ILC2s) {ii) In the CRS with nasal polyps (CRSwNP) population, ILC2s were increased in patients with co-existing asthma (iii) As ILC2s are elevated in patients with CRSwNP, they may drive nasal polyp formation in CRS. and (iv) They were also associated with increased blood eosinophilia\nPart 3. Exercise\nPathological complete remission (pCR) of estrogen receptor (ER)-positive/human epidermal growth factor receptor 2 (HER2)-negative breast cancer is rarely achieved after neoadjuvant chemotherapy (NAC). In addition, the prognostic value of pCR for this breast cancer subtype is limited. We explored whether response evaluation by magnetic resonance imaging (MRI) is associated with recurrence-free survival after NAC in ER-positive/HER2-negative breast cancer.', 'MRI examinations were performed in 272 women with ER-positive/HER2-negative breast cancer before, during and after NAC. MRI interpretation included lesion morphology at baseline, changes in morphology and size, and contrast uptake kinetics. These MRI features, clinical characteristics and final pathology were correlated with recurrence-free survival.', 'The median follow up time was 41 months. There were 35 women with events, including 19 breast-cancer-related deaths. On multivariable analysis, age younger than 50 years (hazard ratio (HR)\\u2009=\\u20092.55, 95 % confidence interval (CI) 1.3, 5.02, p\\u2009=\\u20090.007), radiological complete response after NAC (HR\\u2009=\\u200914.11, CI 1.81, 1818; p\\u2009=\\u20090.006) and smaller diameters of washout/plateau enhancement at MRI after NAC (HR\\u2009=\\u20091.02, CI 1.00, 1.04, p\\u2009=\\u20090.036) were independently associated with best recurrence-free survival. Pathological response was not significant; HR\\u2009=\\u20092.12, CI 0.86, 4.64, p\\u2009=\\u20090.096.\nAnswer:"
},
{
"from": "gpt",
"value": "Is survival associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer?"
}
] |
[
{
"from": "human",
"value": "In this task, you're given passages that contain mentions of names of people, places, or things. Some of these mentions refer to the same person, place, or thing. Your job is to write questions that evaluate one's understanding of such references. Good questions are expected to link pronouns (she, her, him, his, their, etc.) or other mentions to people, places, or things to which they may refer. Do not ask questions that can be answered correctly without understanding the paragraph or having multiple answers. Avoid questions that do not link phrases referring to the same entity. For each of your questions, the answer should be one or more phrases in the paragraph, and it should be unambiguous.\n\n[Q]: Passage: In the late 19th and early 20th centuries, child vaudevillian Buster Keaton stays in boarding houses, rides in train boxcars, and performs with his mother and father in a knock-about (physical comedy) act called The Three Keatons. As a young man Keaton travels on his own to Hollywood and tricks his way onto the grounds of silent-film studio Famous Studio as a workman carrying a board, as in one of his trademark comic bits. \nSneaking onto a set, he attracts the attention of a young casting director, Gloria Brent. He demonstrates his type of physical comedy to a director Kurt Bergner, whom he does not impress. But Gloria recognizes his talent and recommends him to studio head Larry Winters, who offers him a contract. Keaton begins to get small parts in other people's pictures. As his comic talent becomes more apparent and his fame and money-making power grows, he is offered a contract to direct and star in his own silent films.\nDissatisfied with not sharing the profits of his films, he is told that he must invest in his own pictures in order to profit-share. He does in \"The Gambler\", which is released at the same time as Al Jolson's blockbuster talkie, \"The Jazz Singer\", reducing public interest in it. Buster struggles to adapt to performing in talking pictures.\n[A]: What is the full name of the person who fails to impress Kurt Bergner?\n\n\n[Q]: Passage: In an American suburb in Northern New Jersey, conservative, middle-aged Indian immigrant Gopal, a telephone-company engineer who has taken early retirement, is celebrating Diwali in November with his wife and grown daughter. His daughter suddenly tells him that she is leaving indefinitely to teach English in Mongolia with her German boyfriend. As Gopal recovers from this shock and tries to talk her out of it, largely on the grounds that she will be living in sin in his eyes, his wife Madhu announces that she is leaving him as well, and is taking up the spiritual life in an ashram in India.\nConfused, mortified, bored, and directionless, newly single Gopal lies to his few Indian-American acquaintances about the situation, and refuses to answer his daughter's phone calls from Mongolia. He tries to cope with his emptiness by redecorating slightly, searching through the various corners of his small house, reading newspapers, and watching videos of Bollywood romance extravaganza films. Desperately lonely, he latches upon a copy of Cosmopolitan magazine that had belonged to his daughter, and takes a quiz gauging a man's suitability for a relationship – which reveals that he is a \"Ditchable Dude\".\nIn the midst of his distress and his Bollywood fantasies, Gopal's eccentric neighbor, the oddly attractive divorcée Mrs. Shaw – whom he had previously thought of as loose-moralled (because of her one-night stands) and slovenly – appears at his door asking to borrow one of his rakes. This sets off a whole new set of fantasies on his part. A few nights later Gopal sees her on her porch nursing a drink, and after a tentative conversation, asks her to have Thanksgiving dinner with him at home the next day. While cleaning and straightening for the date, Gopal finds several more of his daughter's Cosmopolitans, and reads several articles on \"What women want\" from a man – evidently it is for them to \"listen, listen, listen\".\n[A]: Whose wife announces that they are leaving?\n\n\n[Q]: Passage: Hunter gatherers settled the territory in the stone and iron ages, followed later by Bantu peoples. The population coalesced first into clans and then into kingdoms. The Kingdom of Rwanda dominated from the mid-eighteenth century, with the Tutsi kings conquering others militarily, centralising power and later enacting anti-Hutu policies. Germany colonised Rwanda in 1884 as part of German East Africa, followed by Belgium, which invaded in 1916 during World War I. Both European nations ruled through the kings and perpetuated a pro-Tutsi policy. The Hutu population revolted in 1959. They massacred numerous Tutsi and ultimately established an independent, Hutu-dominated state in 1962. A 1973 military coup saw a change of leadership, but pro-Hutu policy remained. The Tutsi-led Rwandan Patriotic Front launched a civil war in 1990. The presidents of Rwanda and Burundi, both Hutus, died together when their plane was shot down in April 1994. Social tensions erupted in the 1994 genocide, in which Hutu extremists killed an estimated 500,000 to 1 million Tutsi and moderate Hutu. The RPF ended the genocide with a military victory.\nRwanda's economy suffered heavily in wake of the 1994 genocide, but has since strengthened. The economy is based mostly on subsistence agriculture. Coffee and tea are the major cash crops for export. Tourism is a fast-growing sector and is now the country's leading foreign exchange earner. Rwanda is one of only two countries in which mountain gorillas can be visited safely, and visitors pay high prices for gorilla tracking permits. Music and dance are an integral part of Rwandan culture, particularly drums and the highly choreographed intore dance. Traditional arts and crafts are produced throughout the country, including imigongo, a unique cow dung art.\n[A]:"
},
{
"from": "gpt",
"value": "What country did Belgium invade in 1916?\n\n\n"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a sentence in the Bulgarian language and corresponding English translation of this sentence. Here, your job is to generate label \"yes\" if translation is right, otherwise generate label \"no\".\n\n[Q]: Bulgarian: Като постигна съгласие относно директивата, Европейският съюз доказа, че има политическата воля да предприеме ефективни мерки за опазване на общественото здраве и околната среда., English: Parliament helped to make the directive more ambitious than the Council's common position on certain important points.\n[A]: no\n\n\n[Q]: Bulgarian: Координиране на някои разпоредби на държавите-членки, отнасящи се до упражняване на телевизионна дейност (вот), English: - Report: Ruth Hieronymi\n[A]: no\n\n\n[Q]: Bulgarian: Трансфер на бюджетни средства, English: Agenda of the next sitting: see Minutes\n[A]:"
},
{
"from": "gpt",
"value": "no\n\n\n"
}
] |
[
{
"from": "human",
"value": "Definition: You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. Your task is to label each of the continuous conversations done by one speaker with the emotion detected in that particular part. Your labels can be one among the following: 'No emotion', 'surprise', 'happiness', 'sadness', 'anger', 'disgust'.\nInput: Person1: Oh , no . It looks like my computer really has caught a virus . \n Person2: Why ? Did you open an attachment ? \n Person1: Yes , something called “ George W . Bush . ” An hour later , all I see are pictures of George W . Bush in women's clothes . \n Person2: I kind of like it . He looks better that way , doesn't he ? More presidential . \n Person1: I preferred the forward with pictures of him side-by-side with monkeys . \n Person2: Yeah , their expressions were exactly the same ! \nOutput:"
},
{
"from": "gpt",
"value": "No emotion,No emotion,No emotion,No emotion,No emotion,No emotion"
}
] |
[
{
"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 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.\nQ: Head: PersonX asks PersonY to say<sep>Tail: celebrate\nA: "
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. You are required to assign a label 'formal' if there is an absence of emotion and a presence of questions anywhere within the conversation. If such pattern is not found assign the label 'informal'.\n--------\nQuestion: Person1: Did you listen to the weather forecast ? \n Person2:No.Why ? \n Person1: There ’ s a typhoon coming . \n Person2:No way ! \n Person1: Yep , it should be here by tomorrow night . \n\nAnswer: informal\n\n\nQuestion: Person1: Hi , I have a doctor ’ s appointment scheduled with Dr . Smith , and I need to change it . \n Person2:What day did you have it scheduled for ? \n Person1: My appointment was on Tuesday . \n Person2:What time was it scheduled for ? \n Person1: It was for two o ’ clock in the afternoon . \n Person2:I see your appointment . What day would you like to switch to ? \n Person1: I would like to switch it to next Friday . \n Person2:What time would you like ? \n Person1: I would like to come in at 10 \n Person2:Fine , I will pencil that in right now . We will see you then . \n\nAnswer: formal\n\n\nQuestion: Person1: He told the police that Ted was the murderer . \n Person2:He is playing hob with the fact . \n Person1: Why do you say so ? \n Person2:Because he stayed with me all the time that night . \n\nAnswer:"
},
{
"from": "gpt",
"value": "formal\n\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you're given a pair of sentences in the Persian Language written in the Persian alphabet. Your job is to choose whether the two sentences agree (entailment), disagree (contradiction), or neither (neutral). Your answer must be in the form of the letters E, C, and N, respectively. The sentences have been separated by a newline character.\nQ: نام ابتدایی بدیعالزمان فروزانفر در دورهٔ جوانیاش محمدحسین بشرویهای بود. بعدها خود را جلیل ضیاء بشرویهای، بعدتر جلیل فروزانفر، و عاقبت بدیعالزمان فروزانفر نام نهاد. او لقبِ «بدیعالزمان» را در سال ۱۲۹۸ خورشیدی، بهسبب سرودن قصیدهای در وصف بهار، از احمد قوام (قوامالسلطنه)، والی خراسان، دریافت کرد.\nسید محمدحسین بهجت تبریزی، از شاعران ایرانی ملقب به «بدیعالزمان» است.\nA:"
},
{
"from": "gpt",
"value": "C"
}
] |
[
{
"from": "human",
"value": "Definition: In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether the Head happens before the Tail or not. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nInput: Head: PersonX plays fast and loose<sep>Tail: PersonX passes out in the hotel room\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "In this task, you are given two sentences. Your task is to classify the given sentences as \"Yes\" if they have same meaning; otherwise, classify them as \"No\". \n\nEx Input:\nSentence-1: I can't stand it.<sep>Sentence-2: I am willing to use the telephone in my role .\n\nEx Output:\nNo\n\n\nEx Input:\nSentence-1: I'd rather have spice than bland.<sep>Sentence-2: I like spicy food .\n\nEx Output:\nYes\n\n\nEx Input:\nSentence-1: Only if it is with a group<sep>Sentence-2: I like going to the cinema or watching films in general .\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "Yes\n\n\n"
}
] |
[
{
"from": "human",
"value": " In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonX may feel what is mentioned in the Tail or not. In this task, the feeling is an emotional reaction on the part of X or other participants in an event. For example, as a result of gift-giving, X might feel good about [one]self. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n--------\nQuestion: Head: PersonX gains weight<sep>Tail: content with themself\n\nAnswer: Yes\n\n\nQuestion: Head: PersonX moves ___ away<sep>Tail: motivated\n\nAnswer: Yes\n\n\nQuestion: Head: PersonX accepts the job<sep>Tail: hopeful\n\nAnswer:"
},
{
"from": "gpt",
"value": "Yes\n\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a sentence from the Bible in English, and your task is to translate it into Persian.\nTeacher: Now, understand the problem? Solve this instance: If there be found among you, within any of thy gates which the LORD thy God giveth thee, man or woman, that hath wrought wickedness in the sight of the LORD thy God, in transgressing his covenant,\nStudent:"
},
{
"from": "gpt",
"value": "اگر در میان تو امری که حکم بر آن مشکل شود به ظهور آید، در میان خون و خون، و درمیان دعوی و دعوی، و در میان ضرب و ضرب، از مرافعه هایی که در دروازه هایت واقع شود، آنگاه برخاسته، به مکانی که یهوه، خدایت، برگزیند، برو."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given a sentence in the Spanish language. Your task is to translate the Spanish sentence into the English language.\n\nEl test de imitación de gestos (Berger y Lézine, 1975) es un instrumento de evaluación que se utiliza en la infancia preferentemente para evaluar\n"
},
{
"from": "gpt",
"value": "The gesture imitation test (Berger and Lézine, 1975) is an evaluation tool that is used in childhood, preferably to evaluate"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a context tweet, a question and corresponding answer of given question. Your task is to classify this question-answer pair into two categories: (1) \"yes\" if the given answer is right for question, and (2) \"no\" if the given answer is wrong for question.\n\nExample input: Context: Our prayers are with the students, educators & families at Independence High School & all the first responders on the scene. #PatriotPride— Doug Ducey (@dougducey) February 12, 2016 Question: at which school were first responders on the scene for? Answer: independence high school\nExample output: yes\nExample explanation: Here, the generated label is 'yes' because the given answer is right for the question.\nQ: Context: With my big sister Rebecca. I truly have the most incredible family and I am forever grateful for them. Gina Rodriguez (@HereIsGina) January 8, 2017 Question: who is at the event with this person? Answer: investigating for more evidence\nA:"
},
{
"from": "gpt",
"value": "no"
}
] |
[
{
"from": "human",
"value": "Q: Given a sentence in German, generate a new German 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.\nNennen Sie eine Telefonnummer ist, um in Kontakt mit jemandem zu halten.\nA:"
},
{
"from": "gpt",
"value": "Das Erlernen einer Telefonnummer ist dafür, mit jemandem in Kontakt zu bleiben."
}
] |
[
{
"from": "human",
"value": "In this task you're given two statements in Gujarati. You must judge whether the second sentence is the cause or effect of the first one. The sentences are separated by a newline character. Output either the word 'cause' or 'effect' .\nQ: મારા પેન્ટ પરની કમરની પટ્ટી looseીલી હતી. \n મેં બેલ્ટ લગાવ્યો.\nA: "
},
{
"from": "gpt",
"value": "effect"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: This task is to translate a news commentary statement given in German language into Spanish language. Translate the input statement into the output language while preserving the numberical values, special characters and proper nouns and context of the commentary done.\nQ: Aber auf der Dritten Internationalen Konferenz für Entwicklungsfinanzierung in Addis Abeba letzten Monat kam die Dynamik hin zur Stärkung der internationalen steuerlichen Zusammenarbeit zu einem plötzlichen Ende.\nA:"
},
{
"from": "gpt",
"value": "Pero el impulso en pos de fortalecer esa cooperación encontró un abrupto final en la Tercera Conferencia Internacional sobre la Financiación para el Desarrollo, celebrada el mes pasado en Addis Abeba."
}
] |
[
{
"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: Diarrhea, also spelled diarrhoea, is the condition of having at least three loose or liquid bowel movements each day. It often lasts for a few days and can result in dehydration due to fluid loss. Signs of dehydration often begin with loss of the normal stretchiness of the skin and irritable behaviour. This can progress to decreased urination, loss of skin color, a fast heart rate, and a decrease in responsiveness as it becomes more severe. Loose but non-watery stools in babies who are breastfed, however, may be normal. Question: What are the warning signs of dehydration?\nA:"
},
{
"from": "gpt",
"value": "loss of the normal stretchiness of the skin and irritable behaviour"
}
] |
[
{
"from": "human",
"value": "In this task, you are given a tweet in English. You are expected to classify the post into two classes: sarcastic or non-sarcastic. A sarcastic sentence is one that refers to the use of words that mean the opposite of what you really want to say, especially in order to insult someone, or to show irritation, or just to be funny.\n\n[Q]: Ready to get home to my baby .\n[A]: non-sarcastic\n\n\n[Q]: Yes de Jong out , Richard wright in , today's going to be a gre at deadline day at #mcfc\n[A]: non-sarcastic\n\n\n[Q]: First day I didn't speak to you at all and it feels so weird 😫\n[A]:"
},
{
"from": "gpt",
"value": "non-sarcastic\n\n\n"
}
] |
[
{
"from": "human",
"value": "Generate a question which can yield the answer mentioned in the input. Generated question must be answered by the answer provided in input, without using any extra knowledge.\n\n[Q]: Context : Preparing for a Fancy Dress Ball, also known as The Misses Williams-Wynn, is a 173 by 150 cm (68 by 59 in) oil on canvas by English artist William Etty, first exhibited in 1835 and currently in the York Art Gallery. \nAnswer : York Art Gallery\n[A]: What is the name of the place where Preparing for a Fancy Dress Ball can be found?\n\n\n[Q]: Context : Dušan Majdán (born 8 September 1987) is a male Slovakian racewalker. \nAnswer : male\n[A]: Is Dušan Majdán a male or female?\n\n\n[Q]: Context : Otto Sydow (1 February 1896 -- 24 June 1970) was a highly decorated Generalmajor in the Luftwaffe during World War II. He was also a recipient of the Knight's Cross of the Iron Cross. \nAnswer : Luftwaffe\n[A]:"
},
{
"from": "gpt",
"value": "What military organization did Otto Sydow belong to?\n\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Italian.\n--------\nQuestion: ما يجب عليك ان تفعله هو التعرف على اي من الاشكال التالية يدعى بوبا و اي منها يدعى كيكي\n\nAnswer: Cercate di identificare quale di queste forme è Bouba, e quale Kiki\n\n\nQuestion: شاهدنا ، لمدة 26 ساعة ، كل هذه الأنواع المتنافسة تتشارك مورداَ واحداَ يدعى الماء.\n\nAnswer: Abbiamo visto per 26 ore tutte quelle specie diverse condividere un'unica risorsa, l'acqua.\n\n\nQuestion: متى يصل إلى الغذاء الذي أحتاج ؟\n\nAnswer:"
},
{
"from": "gpt",
"value": "Le arriva il nutrimento che ritengo necessario?\n\n\n"
}
] |
[
{
"from": "human",
"value": "Definition: You will be given a text in the Russian language, and you should classify the given input text to one of the emotion labels from this list of emotion labels- ['joy', 'sadness', 'surprise', 'fear', 'anger']. Make sure your output label (i) is strictly present in the given list of emotion labels. (ii) is unambiguous.\nInput: уговаривать не буду, нет желания, значит нет...а сделаешь - буду рад;)\nOutput:"
},
{
"from": "gpt",
"value": "joy"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: Given a sentence in the Central Khmer, provide an equivalent translation in Japanese that retains the same meaning through the translation. In translation, keep numbers as it is.\nQ: ប្រធាននៃអង្គការផែនការគ្រួសារ សេស៊ីល រីឆាតស៍ បានមានប្រសាសន៍ថា \"ខណៈពេលដែលវាជាការសោកសៅ និងខកចិត្តយ៉ាងខ្លាំង ហើយយើងចង់ធានាចំពោះស្រ្តីដែលពឹងផ្អែកលើអង្គការផែនការគ្រួសារសម្រាប់ការថែរក្សាសុដន់ថា យើងនៅតែមានវត្តមាននៅទីនេះសម្រាប់ពួកគេ ហើយយើងនឹងមានវត្តមានជារាងរហូត។\"\nA:"
},
{
"from": "gpt",
"value": "PlannedParenthoodのセシル・リチャード氏は「これは困ったことだし残念なことだが、我々は乳がん対策のためにPlannedParenthoodを頼ってくれる女性に対し、我々は助けの手を今も今後も伸ばし続けていると安心してほしい」と語った。"
}
] |
[
{
"from": "human",
"value": "In this task, you get an English sentence and a corresponding Spanish translation of the English sentence. Your task is to return a \"Yes\" if the translation is correct, otherwise return \"No\"\n\nQ: English: Over 95% of all HIV infected individuals live in the developing countries and sub-Saharan Africa is the worst affected region in the world. \n Spanish:Más del 95% de todas las personas infectadas por el VIH vive en países en desarrollo y el África subsahariana es la región más afectada del mundo.\n\nA: Yes\n****\nQ: English: So when we talk now about the need to involve the Northern Cyprus community in exchanges of information, particularly with a view to the eventual accession of the Republic of Cyprus to the European Union, we need to be aware that we are trying to find practical formulas that will enable us to overcome the obstacles standing in the way of a political solution. \n Spanish:Y, cuando se habla de la necesidad de hacer participar en este momento a la comunidad del norte de Chipre en algunos intercambios de información, en particular en la vía para una futura adhesión de la República de Chipre a la Unión Europea, debemos comprender que estamos intentando encontrar fórmulas de carácter práctico que nos permitan superar obstáculos en la vía para una resolución política.\n\nA: Yes\n****\nQ: English: Thank you, Mrs Frassoni, for your clarification. I shall ensure that it is taken into full account. \n Spanish:Muy bien, señora Frassoni, le doy las gracias por estas precisiones, de las que tomaremos nota.\n\nA:"
},
{
"from": "gpt",
"value": "Yes\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.\nWrite a fact related to the given fact, based on the given topic word. Note that, your fact should have at least one word in common with the given fact. All facts in this task refer to scientific facts. Your related fact must form a chain with the given fact. Chains form when two facts connect together to produce the third fact. An example of a chain is: \"pesticides cause pollution\" (given fact) + \"pollution can harm animals\" (related fact) → \"pesticides can harm animals\" (connected chain). Avoid creating simple paraphrases of the given fact. While your generated fact should be related to the input fact, they must describe slightly different scientific phenomena. It's okay if your related fact includes some irrelevant information, provided that it has some overlap with the given fact and it contains some words corresponding to the provided topic.\n\nFact: pesticides cause pollution. \nTopic: pollution harms.\nSolution: pollution can harm animals.\nWhy? This is a good related fact as this forms a chain with the given fact i.e. \"pesticides causes pollution\" + \"pollution can harm animals\" = \"pesticides can harm animals\".\n\nNew input: Fact: Mammals conserve body heat with their hair or fur. \nTopic: hair or fur covering.\nSolution:"
},
{
"from": "gpt",
"value": "Mammals Hair or fur covers the bodies of most mammals."
}
] |
[
{
"from": "human",
"value": "In this task, you are given an abstract of article. Your task is to generate label \"True\" if abstract is structured, otherwise generate \"False\". A structured abstract is composed of a topic sentence (or key sentence), relevant supporting sentences, and a closing (or transition) sentence. This structure is key to keeping your abstract focused on the main idea and creating a clear and concise image.\n\n[EX Q]: Various factors and cellular components in the tumor microenvironment are key drivers associated with drug resistance in many cancers. Here, we analyzed the factors and molecular mechanisms involved in chemoresistance in patients with esophageal squamous cell carcinoma (ESCC). We found that interleukin 6 (IL6) derived mainly from cancer-associated fibroblasts played the most important role in chemoresistance by upregulating C-X-C motif chemokine receptor 7 (CXCR7) expression through signal transducer and activator of transcription 3/nuclear factor-κB pathway. CXCR7 knockdown resulted in the inhibition of IL6-induced proliferation and chemoresistance. In addition, CXCR7 silencing significantly decreased gene expression associated with stemness, chemoresistance and epithelial–mesenchymal transition and suppressed the proliferation ability of ESCC cells in three-dimensional culture systems and angiogenesis assay. In clinical samples, ESCC patients with high expression of CXCR7 and IL6 presented a significantly worse overall survival and progression-free survival upon receiving cisplatin after operation. These results suggest that the IL6–CXCR7 axis may provide a promising target for the treatment of ESCC.\n[EX A]: False\n\n[EX Q]: Mitochondrial transport is crucial for neuronal and axonal physiology. However, whether and how it impacts neuronal injury responses, such as neuronal survival and axon regeneration, remain largely unknown. In an established mouse model with robust axon regeneration, we show that Armcx1, a mammalian-specific gene encoding a mitochondria-localized protein, is upregulated after axotomy in this high regeneration condition. Armcx1 overexpression enhances mitochondrial transport in adult retinal ganglion cells (RGCs). Importantly, Armcx1 also promotes both neuronal survival and axon regeneration after injury, and these effects depend on its mitochondrial localization. Furthermore, Armcx1 knockdown undermines both neuronal survival and axon regeneration in the high regenerative capacity model, further supporting a key role of Armcx1 in regulating neuronal injury responses in the adult central nervous system (CNS). Our findings suggest that Armcx1 controls mitochondrial transport during neuronal repair.\n[EX A]: False\n\n[EX Q]: The sirtuins are a phylogenetically conserved family of NAD(+) -dependent protein deacetylases that consume one molecule of NAD(+) for every deacetylated lysine side chain. Their requirement for NAD(+) potentially makes them prone to regulation by fluctuations in NAD(+) or biosynthesis intermediates, thus linking them to cellular metabolism. The Sir2 protein from Saccharomyces cerevisiae is the founding sirtuin family member and has been well characterized as a histone deacetylase that functions in transcriptional silencing of heterochromatin domains and as a pro-longevity factor for replicative life span (RLS), defined as the number of times a mother cell divides (buds) before senescing. Deleting SIR2 shortens RLS, while increased gene dosage causes extension. Furthermore, Sir2 has been implicated in mediating the beneficial effects of caloric restriction (CR) on life span, not only in yeast, but also in higher eukaryotes. While this paradigm has had its share of disagreements and debate, it has also helped rapidly drive the aging research field forward. S. cerevisiae has four additional sirtuins, Hst1, Hst2, Hst3, and Hst4. This review discusses the function of Sir2 and the Hst homologs in replicative aging and chronological aging, and also addresses how the sirtuins are regulated in response to environmental stresses such as CR.\n[EX A]:"
},
{
"from": "gpt",
"value": "False\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Portugese.\n\n[Q]: הם מקלידים את התוכנית שלהם לתוך הדפדפן, אפשר לראות שהם לא עשו זאת כמו שצריך, ולכן גברת החירות עדיין נראית חולה.\n[A]: Eles estão a escrever o programa no \"\" browser \"\", e podemos ver que eles não acertaram: a Estátua da Liberdade ainda está com um ar enjoado.\n\n\n[Q]: אתם יודעים, האם יש שם באמת משהו בחוץ?\n[A]: Será que realmente existe algo por aí?\n\n\n[Q]: רצפת פוליאסטר?\n[A]:"
},
{
"from": "gpt",
"value": "Um piso de poliéster?\n\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a statement written in Malayalam. 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\nLet me give you an example: Statement: ഈസ്റ്റേൺ കാറ്റിൽ ഈഗ്രറ്റ് (B. i. coromandus) - 1783 - ൽ പീറ്റർ ബൊഡേർട്ട് ആണ് ആദ്യമായി വിവരണം നല്കിയത്. ഏഷ്യയിലെയും ആഫ്രിക്കയിലെയും സങ്കരവർഗ്ഗം ആണ്. തെക്കുകിഴക്കൻ ഏഷ്യയിൽ നിന്ന് <MASK>, ജപ്പാനിലേയ്ക്കും സഞ്ചരിക്കുന്നു. ആസ്ട്രേലിയയിലേയ്ക്കും, ന്യൂസ് ലാന്റിലേയ്ക്കും ഭാഗികമായി ദേശാടനം നടത്തുന്നു.\n\n Option A: ആസ്ട്രേലിയയിലെ\n\n Option B: പാകിസ്താനിലേയ്ക്കും\n\n Option C: കോമോറോസ്\n\n Option D: അർജന്റീനയിലും\nThe answer to this example can be: പാകിസ്താനിലേയ്ക്കും\nHere is why: As the statement mentions fom south east asia , only one option makes sense hence the best options to replace the <MASK> token is പാകിസ്താനിലേയ്ക്കും .\n\nOK. solve this:\nStatement: തന്റെ ദീർഘകാലശത്രുവായിരുന്ന കോലത്തിരിയുടെ കൊട്ടാരം കണ്ണൂരിലെ ആലിരാജ പിടിച്ചെടുത്തു കത്തിച്ചു. കോലത്തിരി തന്റെ അനുചരരോടൊപ്പം അന്ന് ബ്രിട്ടീഷ് നിയന്ത്രണത്തിലുള്ള തലശ്ശേരിയിലേക്ക് രക്ഷപ്പെട്ടു. ഇതിനുശേഷം <MASK> പടയുടെ ചെറിയ എതിർപ്പിനെ തകർത്ത് നാട്ടുകാരായ മുസ്ലീംകളുടെ സഹായത്തോടെ ഹൈദർ കോട്ടയം-മലബാർ പിടിച്ചെടുത്തു. നാട്ടുകാരോട് ചെയ്ത ഗുരുതരമായ ഉപദ്രവങ്ങളെത്തുടർന്ന് ഒട്ടെങ്കിലും കാര്യമായ എതിർപ്പ് ഹൈദർ നേരിട്ടത് കടത്തനാട് നിന്നാണ്.\n\n Option A: മംഗലാപുരം\n\n Option B: കോട്ടയം\n\n Option C: അറബിക്കടലിലെ\n\n Option D: പാലക്കാടും\nAnswer:"
},
{
"from": "gpt",
"value": "കോട്ടയം"
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Galician. Your job is to translate the Galician sentence into Arabic.\nInput: Se nos fixamos soamente no comportamento perdemos a peza clave do puzzle e teremos un diagnóstico incompleto, ou mesmo un erróneo, do problema do neno.\nOutput:"
},
{
"from": "gpt",
"value": "النظر إلى السلوك منفردًا يمكن أن يفقد جزءا مهما في حل اللغز, تقديم صورة غير كاملة ، أو حتى خادعة ، عن مشاكل الطفل"
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task you will break down a question into the basic steps required to answer it.\n A question decomposition is a numbered list of operations that must be performed to answer the original question. Imagine explaining your question to a friendly droid by listing each action it should take in order for the question to be answered. Each step in our decomposition should refer to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.)\n Here are the list of step templates and their description:\n Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]\n Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]\n Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]\n Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].\n Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]\n Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]\n Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] \n Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]\n Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]\n Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]\n Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]\n Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]\n Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].\n\nquestion: Which country were napalms used in first, Nigeria or Egypt?\n"
},
{
"from": "gpt",
"value": "#1 return napalm was used in Nigeria \n#2 return napalm was used in Egypt \n#3 return when was #1 \n#4 return when was #2 \n#5 return which is the lowest of #3 , #4"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Spanish.\n\nQ: هناك خليج جميل ، الكثير من الشعب الناعمة والرخويات. وعندما تراها ، إنها ميتة.\n\nA: En esta hermosa bahía, que tiene muchos corales suaves y estomatópodos \"\". Y uno va, y está muerta.\n****\nQ: ونحن نتعلم أن النمل يستخدم نمط اتصالات لوامسي ، المعدل الذي تلتقي فيه النمل مع نمل من المهام الأخرى ، يحدد ما يجب القيام به.\n\nA: Y lo que estamos aprendiendo es que una hormiga usa el patrón de sus contactos de antena, el ritmo al que se encuentra con hormigas de otras tareas, para decidir qué hacer.\n****\nQ: وهذا ليس حصراً على أثيوبيا ، لكنه يحدث في كل أرجاء أفريقيا.\n\nA:"
},
{
"from": "gpt",
"value": "Y esto no sólo se aplica a Etiopía, sino que pasa una y otra vez, en todas partes de África.\n****\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.\n Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]\n Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]\n Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]\n Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].\n Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]\n Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]\n Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] \n Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]\n Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]\n Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]\n Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]\n Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]\n Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].\nProblem:#1 return age groups \n#2 return biggest of #1 \n#3 return #1 besides #2 \n#4 return biggest of #3 \n#5 return #3 besides #4 \n#6 return biggest of #5\nSolution:"
},
{
"from": "gpt",
"value": "Which age group was the third biggest?"
}
] |
[
{
"from": "human",
"value": "Given a sentence in French, generate a new French sentence by performing small changes on the sentence. Here, make sure that the changes are semantically related and syntactically similar to the input. And the generated sentence should have high commonsense plausibility, that is to have reasonable probability of it being true.\n\nQ: J'aime le gâteau au chocolat.\n\nA: Je vends du gâteau au chocolat à la vanille.\n****\nQ: Se tourner vers le soleil est une stratégie.\n\nA: S'agissant de donner le bulletin de vote est un suivant.\n****\nQ: Vous trouverez probablement un vélo près de la bibliothèque.\n\nA:"
},
{
"from": "gpt",
"value": "Vous trouverez probablement une arme près de la bibliothèque.\n****\n"
}
] |
[
{
"from": "human",
"value": "Given a post that is a real-life anecdote of a complex ethical situation and a question asks if AUTHOR, NOBODY, EVERYBODY, or OTHER is wrong in the situation. Answer the question and classify your answers into yes or no.\n\n[Q]: Is AUTHOR wrong in the post ? POST : I always feel guilty when he asks the hard hitter, \"Want to go fishing with me?\" And I can never find an easy response. I don't like fishing because I find it extremely boring and time consuming. I can go with him to his fishing areas just to hang out with him but I tried that once and he forced me to fish. \nSo AITA for rejecting his invitation to go fishing?\n[A]: no\n\n\n[Q]: Is NOBODY wrong in the post ? POST : This year, I joined the school choir. Our school has an annual tour for the choir where they usually visit places such as Europe, Spain, Latin America, etc. This has been a tradition for everyone the past 50ish years. However, due to complications, the usual director is gone this year and there have been 2 replacement teachers throughout the year, meaning we aren't as organized or confident. Despite this, the second teacher we had this year insists on having a tour to Nashville. There were 6 guys(small af) in the choir at the start of the year. Two dropped, and two guys don't want to go on tour, meaning there is me and another person going on tour(other guy is determined to go). Personally, I think that there is little point to going on tour with 2 guys and mediocre songs. But if I don't go on tour, I'm basically going to make it not happen for the choir, which is mostly filled with seniors that want this and might kill this tradition.\n\n&#x200B;\n\nAITA for not wanting to go?\n[A]: no\n\n\n[Q]: Is OTHER wrong in the post ? POST : Background: my stepmother came into my life when I was about 5 or 6. I am the youngest of five children but the oldest three went with my biological mother. I grew up at odds with my stepmother and sister who generally teamed up on me as my father was working on the road 8-10 months/year. \n\nFast forward to last year: \n\nDad had been having a lot of health problems and appeared to be on his death bed. I was taking sick time off just to be with him. He'd go to bed and I'd have a couple drinks to blow off some steam before heading home (90 minute commute). I even cancelled a family trip to China that my wife planned to be by him (lost 1000s in flight and booking fees). Stepmom accuses me of using dad as an excuse to drink. I blow it off. \n\nChirstmas comes. She asks what my son wants. \"A nice RC car.\" She goes to Big Lots and the damn thing won't turn straight outta the box. Wife gets a super-used silver plated watch with chinks of silver missing everywhere disguised in a new box. Wife and son are upset but I tell them to be grateful. Nothing was said to stepmom. While visiting one day, she takes me aside, stares me right in the face, and accuses me of cheating on my wife. I never have. I blow it off.\n \nValentine's Day comes and I wish her a happy Ash Wednesday (she is Christian, I am not). She responds by saying she hopes I have something nice planned for my wife. I say we're going to a nice restaurant she wanted to go to. \"That's a bad idea. It'll be long waits and terrible service.\" So I go off on her. No cursing, no name calling, but I brought her to justice on her previous offenses. Her reaction? \"We're making a lot of important decisions right now and you just made them easier.\" Wow. Using my dad's poor health to threaten to take me out of the will (they have a very healthy retirement). \n\nI stopped talking to her. She and my sister stopped talking to us. Come to find out a couple months ago, she went to the hospital for jaundice. Dad is forbidden by her from telling me about her condition but she took a dozen people down to the Bahamas last week so it's probably pretty bad. Also, some of dad's comments lead me to believe she doesn't have long.\n\nI couldn't be happier. My life has been relatively drama free since I cut her out. I am looking forward to spending my dad's last year or two without her in the picture. Not to mention, I think it's just desserts that she used my dad dying against me and now it seems she will go first. AITA here?\n[A]:"
},
{
"from": "gpt",
"value": "yes\n\n\n"
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: You are given a sentence in Arabic. Your job is to translate the Arabic sentence into Japanese.\nPROBLEM: برونو: يا للروعة! حسنًا هذا ما نتجه إليه.\n\nSOLUTION: ブルーノ ： おおそのような方向に進んでいるのですね\n\nPROBLEM: الدعم يمكن ان يكون بان نسأل الناس اسئلة, نعطيهم قطعة من الورق بها هيكل تنظيمي او بعض الرسومات التوضيحية, ولكن لابد ان ندعم ذلك.\n\nSOLUTION: サポートは他人に質問してみることであることかもしれません組織図かもしくは理解の助けになるイメージが書かれた一枚の紙を渡してみましょうともかくサポートが必要なのです\n\nPROBLEM: إنها ترى نفسها, كما لو أنها, هى, مثل شيء سوف يُخلِق الإنطباع بأنه سوف يكون هناك تكلفه سياسية, سوف يكون ثمن سياسى لكى يُسدد, بسبب السماح بحدوث الإبادة الجماعية, وبسبب عدم وجود خيال بطولى, ولعدم التصرف بطريقة مسئولة عادلة... أي في الحقيقة من أجل التصرف كمتفرجين.\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "この ｢ 運動 ｣ の目的はもし ― 虐殺を止めようとせず虐殺について考えず何もしない傍観者でいれば政治の世界では非難されるそう人々に思わせる事なのです\n\n"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nYou are given a sentence in Hebrew. Your job is to translate the Hebrew sentence into Farsi.\nPart 2. Example\nאתם רואים שהפינגווין הזה ניגש ומסתכל על החוטים, הוא לא אוהב את החוט הזה.\nAnswer: شما میتونید این پنگوئن ها رو ببینید اونها حرکت میکنند به اون سیمها نگاه میکنند ولی شبیه اون سیمها نیستند\nExplanation: The Hebrew sentence is correctly translated into Farsi, because the meaning is preserved.\nPart 3. Exercise\nזהו שינוי מדהים.\nAnswer:"
},
{
"from": "gpt",
"value": "این یک تغییر شگفت آور است."
}
] |
[
{
"from": "human",
"value": "Given a sentence in Chinese, provide an equivalent paraphrased version from the original that retains the same meaning.\n\n[Q]: 这项工作使他引发了对分子遗传学和基因组学实践的重要思考，而这一点并不符合道德规范。\n[A]: 这项工作使他在分子遗传学和基因组学的实践中引发了重要的反思，当时这不被认为是道德的。\n\n\n[Q]: 麻雀说服特纳，伊丽莎白可以用魔法指南针找到胸部。\n[A]: 麻雀说服特纳，伊丽莎白可以通过使用魔法指南针来找到胸部。\n\n\n[Q]: Hastings Ndlovu在约翰内斯堡的Avalon公墓与Hector Pieterson一起被埋葬。\n[A]:"
},
{
"from": "gpt",
"value": "Hastings Ndlovu和Hector Pieterson一起被埋葬在约翰内斯堡的Avalon墓地。\n\n\n"
}
] |
[
{
"from": "human",
"value": "A text is given in Panjabi. Translate it from the Panjabi language to the Urdu language. The translation must not omit or add information to the original sentence.\n\n[EX Q]: بچوں نے اپنی خصوصی کامیابیوں اور اپنے جذبات پر مبنی اپنی باتوں کا تفصیل سے ذکر کیا۔\n[EX A]: ਬੱਚਿਆਂ ਨੇ ਆਪਣੀਆਂ ਵਿਸ਼ੇਸ਼ ਪ੍ਰਾਪਤੀਆਂ ਬਾਰੇ ਵਿਸਤਾਰ ਨਾਲ ਜਾਣੂ ਕਰਵਾਇਆ ਅਤੇ ਆਪਣੀਆਂ ਪ੍ਰੇਰਣਾਮਈ ਕਹਾਣੀਆਂ ਸਾਂਝੀਆਂ ਕੀਤੀਆਂ।\n\n[EX Q]: امید ہے کہ بی آئی اے فریقین کے درمیان سرمایہ کاری کی آمد کو بڑھاوا دے۔ اس سے آئی ٹی اے اور ٹی ای سی سی کے درمیان دو طرفہ بنیادوں پر سرمایہ کاری کو مناسب تحفظ حاصل ہو۔ ممکن ہے کہ بی آئی اے آسانی کی سطح میں اضافہ کرے اور سرمایہ کاروں کی حوصلہ افزائی کرے۔ جس سے سرمایہ کاروں کو سرمایہ کاری کے لئے ایک سازگار ماحول فراہم ہوگا اس سے غیرملکی راست سرمایہ کاری ایف ڈ ی آئی کے لئے ایک پسندیدہ ملک کے طور پر پروجیکٹ انڈیا میں ملے گی ۔\n[EX A]: ਸਮਝੌਤੇ ਨਾਲ ਦੋਹਾਂ ਧਿਰਾਂ ਦਰਮਿਆਨ ਨਿਵੇਸ਼ ਦਾ ਪ੍ਰਵਾਹ ਵਧਣ ਦੀ ਉਮੀਦ ਹੈ। ਸਮਝੌਤੇ ਨਾਲ ਆਈਟੀਏ ਅਤੇ ਟੀਈਸੀਸੀ ਦਰਮਿਆਨ ਪਰਸਪਰ ਅਧਾਰ ’ਤੇ ਨਿਵੇਸ਼ ਨੂੰ ਉਚਿਤ ਸੁਰੱਖਿਆ ਪ੍ਰਦਾਨ ਕੀਤੀ ਜਾ ਸਕੇਗੀ। ਇਸ ਨਾਲ ਨਿਵੇਸ਼ ਨਾਲ ਜੁੜੇ ਮਾਮਲਿਆਂ ਵਿੱਚ ਬਿਨਾ ਕਿਸੇ ਭੇਦਭਾਵ ਦੇ ਬਰਾਬਰ ਮੌਕੇ ਸੁਨਿਸ਼ਚਿਤ ਕਰਕੇ ਨਿਵੇਸ਼ਕਾਂ ਦਾ ਵਿਸ਼ਵਾਸ ਵਧਾਉਣ ਵਿੱਚ ਮਦਦ ਮਿਲੇਗੀ, ਜਿਸ ਨਾਲ ਨਿਵੇਸ਼ਕਾਂ ਨੂੰ ਉੱਚਿਤ ਮਾਹੌਲ ਪ੍ਰਦਾਨ ਕੀਤਾ ਜਾ ਸਕੇਗਾ। ਇਸ ਨਾਲ ਭਾਰਤ ਨੂੰ ਤਰਜੀਹੀ ਵਿਦੇਸ਼ੀ ਪ੍ਰਤੱਖ ਨਿਵੇਸ਼ ਡੈਸਟੀਨੇਸ਼ਨ (ਐੱਫਡੀਆਈ) ਵਜੋਂ ਪ੍ਰੋਜੈਕਟ ਕਰਨ ਵਿੱਚ ਮਦਦ ਮਿਲੇਗੀ।\n\n[EX Q]: دنیا بھر سے آئے معزز شخصیتوں\n[EX A]:"
},
{
"from": "gpt",
"value": "ਵਿਸ਼ਵ ਭਰ ਤੋਂ ਆਏ ਮਹਿਮਾਨ,\n\n"
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: 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\".\nPROBLEM: Paragraph: Gram-negative pathogen-induced nosocomial infections and resistance are a most serious menace to global public health. Qingfei Xiaoyan Wan (QF), a traditional Chinese medicine (TCM) formula, has been used clinically in China for the treatment of upper respiratory tract infections, acute or chronic bronchitis and pulmonary infection. In this study, the effects of QF on Pseudomonas aeruginosainduced acute pneumonia in mice were evaluated. The mechanisms by which four typical antiinflammatory ingredients from QF, arctigenin (ATG), cholic acid (CLA), chlorogenic acid (CGA) and sinapic acid (SPA), regulate anti-inflammatory signaling pathways and related targets were investigated using molecular biology and molecular docking techniques. The results showed that pretreatment with QF significantly inhibits the release of cytokines (TNF-α and IL-6) and chemokines (IL-8 and RANTES), reduces leukocytes recruitment into inflamed tissues and ameliorates pulmonary edema and necrosis. In ;6(3):212-221 addition, ATG was identified as the primary anti-inflammatory agent with action on the PI3K/AKT and Ras/MAPK pathways. CLA and CGA enhanced the actions of ATG and exhibited synergistic NF-κB inactivation effects possibly via the Ras/MAPK signaling pathway. Moreover, CLA is speculated to target FGFR and MEK firstly. Overall, QF regulated the PI3K/AKT and Ras/MAPK pathways to inhibit pathogenic bacterial infections effectively. \n Title: Qingfei Xiaoyan Wan, a traditional Chinese medicine formula, ameliorates Pseudomonas aeruginosa-induced acute lung inflammation by regulation of PI3K/AKT and Ras/MAPK pathways-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)\n\nSOLUTION: False\n\nPROBLEM: Paragraph: Rational design of proteins with novel binding specificities and increased affinity is one of the major goals of computational protein design. Epitope-scaffolds are a new class of antigens engineered by transplanting viral epitopes of pre-defined structure to protein scaffolds, or by building protein scaffolds around such epitopes. Epitope-scaffolds are of interest as vaccine components to attempt to elicit neutralizing antibodies targeting the specified epitope. In this study we developed a new computational protocol, MultiGraft Interface, that transplants epitopes but also designs additional scaffold features outside the epitope to enhance antibody-binding specificity and potentially influence the specificity of elicited antibodies. We employed MultiGraft Interface to engineer novel epitope-scaffolds that display the known epitope of HIV-1 neutralizing antibody 2F5 and that also interact with the functionally important CDR H3 antibody loop. MultiGraft Interface generated an epitope-scaffold that bound 2F5 with sub-nanomolar affinity (K D = 400 pM) and that interacted with the antibody CDR H3 loop through computationally designed contacts. Substantial structural modifications were necessary to engineer this antigen, with the 2F5 epitope replacing a helix in the native scaffold and with 15% of the native scaffold sequence being modified in the design stage. This epitope-scaffold represents a successful example of rational protein backbone engineering and protein-protein interface design and could prove useful in the field of HIV vaccine design. MultiGraft Interface can be generally applied to engineer novel binding partners with altered specificity and optimized affinity. § \n Title: Computational design of protein antigens that interact with the CDR H3 loop of HIV broadly neutralizing antibody 2F5 HHS Public Access\n\nSOLUTION: False\n\nPROBLEM: Paragraph: From December 2019, an outbreak of unusual pneumonia was reported in Wuhan with many cases linked to Huanan Seafood Market that sells seafood as well as live exotic animals. We investigated two patients who developed acute respiratory syndromes after independent contact history with this market. The two patients shared common clinical features including fever, cough, and multiple ground-glass opacities in the bilateral lung field with patchy infiltration. Here, we highlight the use of a low-input metagenomic next-generation sequencing (mNGS) approach on RNA extracted from bronchoalveolar lavage fluid (BALF). It rapidly identified a novel coronavirus (named 2019-nCoV according to World Health Organization announcement) which was the sole pathogens in the sample with very high abundance level (1.5% and 0.62% of total RNA sequenced). The entire viral genome is 29,881 nt in length (GenBank MN988668 and MN988669, Sequence Read Archive database Bioproject accession PRJNA601736) and is classified into β-coronavirus genus. Phylogenetic analysis indicates that 2019-nCoV is close to coronaviruses (CoVs) circulating in Rhinolophus (Horseshoe bats), such as 98.7% nucleotide identity to partial RdRp gene of bat coronavirus strain BtCoV/ 4991 (GenBank KP876546, 370 nt sequence of RdRp and lack of other genome sequence) and 87.9% nucleotide identity to bat coronavirus strain bat-SL-CoVZC45 and bat-SL-CoVZXC21. Evolutionary analysis based on ORF1a/1b, S, and N genes also suggests 2019-nCoV is more likely a novel CoV independently introduced from animals to humans. \n Title: RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreak\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "True\n\n"
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: You are given a statement written in Panjabi. Choose the most logical word from the given 4 options which can be used to replace the <MASK> token in the statement. Output the word from the correct option .\nQ: Statement: ਕੇਂਦਰੀ ਅਫ਼ਰੀਕਾ ਅਫ਼ਰੀਕੀ ਮਹਾਂਦੀਪ ਦਾ ਕੇਂਦਰੀ ਖੇਤਰ ਹੈ ਜਿਸ ਵਿੱਚ <MASK>, ਮੱਧ ਅਫ਼ਰੀਕੀ ਗਣਰਾਜ, ਕਾਂਗੋ ਲੋਕਤੰਤਰੀ ਗਣਰਾਜ ਅਤੇ ਰਵਾਂਡਾ ਸ਼ਾਮਲ ਹਨ। ਮੱਧ ਅਫ਼ਰੀਕਾ (ਸੰਯੁਕਤ ਰਾਸ਼ਟਰ ਵੱਲੋਂ ਵਰਤਿਆ ਜਾਂਦਾ ਸ਼ਬਦ) ਇੱਕ ਮਿਲਦਾ-ਜੁਲਦਾ ਸ਼ਬਦ ਹੈ ਜਿਸ ਵਿੱਚ ਅੰਗੋਲਾ, ਕੈਮਰੂਨ, ਕੇਂਦਰੀ ਅਫ਼ਰੀਕੀ ਗਣਰਾਜ, ਚਾਡ, ਕਾਂਗੋ ਗਣਰਾਜ, ਕਾਂਗੋ ਲੋਕਤੰਤਰੀ ਗਣਰਾਜ, ਭੂ-ਮੱਧ ਰੇਖਾਈ ਗਿਨੀ, ਗੈਬਾਨ ਅਤੇ ਸਾਓ ਤੋਮੇ ਅਤੇ ਪ੍ਰਿੰਸੀਪੀ ਆਉਂਦੇ ਹਨ।\n\n Option A: ਰਵਾਂਡਾ\n\n Option B: ਬਰੂੰਡੀ\n\n Option C: ਚਾਡ\n\n Option D: ਗੈਬਾਨ\nA:"
},
{
"from": "gpt",
"value": "ਬਰੂੰਡੀ"
}
] |
[
{
"from": "human",
"value": "instruction:\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 be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. 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.\nquestion:\nHead: PersonX affords PersonY every ___<sep>Tail: generous\nanswer:\nNo\n\n\nquestion:\nHead: PersonX carries PersonY's ___ into execution<sep>Tail: none\nanswer:\nYes\n\n\nquestion:\nHead: PersonX begs for food<sep>Tail: Homeless\nanswer:\n"
},
{
"from": "gpt",
"value": "No\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.\nThe provided files include famous book titles and sentences in the English language, and we ask you to translate those to the Swedish Language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and form of each sentence in the Swedish language. 2) Also names ,dates and places should be preserved it should not get translated.\n\nThree Men in a Boat (to say nothing of the dog)\nSolution: Tre män i en bat (för att inte tala om hunden)\nWhy? The word 'three' and 'men' in English dataset translate to 'tre' and 'män' in Swedish. All the words in English sentence are present in the Swedish sentence.\n\nNew input: \"Nine o' what?\" I cried, starting up.\nSolution:"
},
{
"from": "gpt",
"value": "”Nio vadå?” utropade jag och störtade upp ur sängen."
}
] |
[
{
"from": "human",
"value": "Detailed Instructions: In this task, you are given a tuple, comprising Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether, as a result of the Head, PersonY or others will be affected as mentioned in the Tail or not. These effects are social actions that may occur after the Head event. For example, X may get hugged, and Y may blush in response. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\nProblem:Head: PersonX accepts the job<sep>Tail: excited\nSolution:"
},
{
"from": "gpt",
"value": "No"
}
] |
[
{
"from": "human",
"value": "Generate a correct and concise answer for the question based on the words in the context.\n--------\nQuestion: Context : LaSalle Thompson III (born June 23, 1961) is an American former professional basketball player, who spent most of his 15-year career with the Kansas City/Sacramento Kings and Indiana Pacers. \nQuestion : What team is LaSalle Thompson associated with?\n\nAnswer: Sacramento Kings\n\n\nQuestion: Context : Brasserie de la Couronne, S.A., is a carbonated soft drink manufacturer and the licensed bottler for the Coca-Cola Company in Haiti. \nQuestion : What is the product of Brasserie de la Couronne?\n\nAnswer: soft drink\n\n\nQuestion: Context : Patrik Eliáš (Czech pronunciation: (ˈpatrɪk ˈɛlɪjaːʃ); born April 13, 1976) is a Czech professional hockey winger and alternate captain for the New Jersey Devils of the National Hockey League (NHL). \nQuestion : What team does Patrik Eliáš belong to?\n\nAnswer:"
},
{
"from": "gpt",
"value": "New Jersey Devils\n\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.\nTeacher: Now, understand the problem? Solve this instance: Context: Obstetric cholestasis is a cholestatic disease usually commencing in the third trimester of pregnancy and characterized by pruritus, elevation of liver enzymes, and increase in bile acids. The objective of this study was to compare the first trimester serum indicators of obstetric cholestasis with normal pregnancies.', 'Thirty-five patients diagnosed with obstetric cholestasis in a three-year period with first trimester biochemical assessment available were included in the study. Seventy patients with concordant pregnancy weeks, matched-age normal pregnancies were included as the control group. Pregnancy-associated plasma protein A (PAPP-A) and free beta-human chorionic gonadotropin (beta-hCG) levels were analyzed.', 'No difference was observed between the two groups in terms of age and week of pregnancy. While the mean PAPP-A level was 0.76 ± 0.31 multiples of the medians (MoM) in the obstetric cholestasis group, it was determined to be 1.5 ± 0.84 in the control group (p = 0.0001). Among the two groups, the hCG levels were found to be higher in the obstetric cholestasis group (1.2 ± 0.79 MoM vs. 0.98 ± 0.53, p = 0.041).\\Question: Are pregnancy-associated plasma protein a levels decreased in obstetric cholestasis?\nStudent:"
},
{
"from": "gpt",
"value": "In this study, the first trimester PAPP-A levels in the obstetric cholestasis cases were found to be significantly lower than the control group. Low PAPP-A levels should be a warning for obstetric cholestasis."
}
] |
[
{
"from": "human",
"value": "You will be given a definition of a task first, then some input of the task.\nA text is given in Hindi. Translate it from the Hindi language to the Marathi language. The translation must not omit or add information to the original sentence.\n\nआमच्या सरकारने ‘वन रँक वन पेन्शन’ ही सैनिकांची अनेक दशकांपासून प्रलंबित असणारी मागणीही पूर्ण केली, याला इथं उपस्थित असणारे अनेक जवान साक्षी आहेत.\nOutput:"
},
{
"from": "gpt",
"value": "यहां मौजूद अनेक पूर्व सैनिक इस बात के भी साक्षी हैं कि दशकों से चली आ रही ne Rank ne Pension की मांग को सरकार ने अपने वायदे के मुताबिक पूरा कर दिया है।"
}
] |
[
{
"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).\n--------\nQuestion: एक और पहला, ऑल इंग्लैंड क्लब पुरुषों और महिलाओं के एकल चैंपियन को बराबर पुरस्कार राशि दे रहा है।\n\nAnswer: Another first, the All England Club is paying men's and women's singles champions equal prize money.\n\n\nQuestion: चार अलग-अलग घात में, अधिकारी सितंबर के बाद से पेरिस उपनगरों में बुरी तरह घायल हो गए थे।\n\nAnswer: In four separate ambushes, officers were badly injured in the Paris suburbs since September.\n\n\nQuestion: उनके प्रदर्शन से ट्राइब स्टार्टर जेक वेस्टब्रुक (6-11) से पिछड़ गया, जिन्होंने खेल शुरू करने के लिए अच्छी तरह से पिच किया, लेकिन फिर 4 वें पारी में दो रन और 5 वें में तीन रन बनाए, क्योंकि याँकीज़ के हिटर्स ने बढ़त बनाई।\n\nAnswer:"
},
{
"from": "gpt",
"value": "His performance bested Tribe starter Jake Westbrook (6-11), who pitched well to start the game but then surrendered two runs in the 4th inning and three in the 5th as the Yankees' hitters constructed a lead.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Part 1. Definition\nGiven a sentence in Italian, generate a new Italian 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.\nPart 2. Example\nÈ probabile che in futuro chiamerete una lista dei nomi.\nAnswer: E' probabile che troviate una carta dei vini al ristorante.\nExplanation: This is a good change in the input, because it is semantically similar to the input as both are talking about either list of names or wines and the output sentence follows the commonsense knowledge.\nPart 3. Exercise\nQuando ha finito di ballare può sedersi a un tavolo vicino alla pista da ballo.\nAnswer:"
},
{
"from": "gpt",
"value": "Quando ha finito di ballare può sedersi su un vassoio vicino alla pista da ballo."
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nIn this task you are given a sentence pair from wikipedia that have high lexical overlap. If the sentences have the same meaning and are just paraphrases of each other label them as \"Paraphrase\" , if not label them as \"Not paraphrase\". The two sentences are seperated by a new line.\nExample: In January 2011 , the Deputy Secretary General of FIBA Asia , Hagop Khajirian , inspected the venue together with SBP - President Manuel V. Pangilinan .\nIn January 2011 , FIBA Asia deputy secretary general Hagop Khajirian along with SBP president Manuel V. Pangilinan inspected the venue .\nOutput: Paraphrase\nThe second sentence has the same meaning as the first sentence and is just a paraphrased version of it.\n\nNew input case for you: Fernando Miyares y Gonzales ( sometimes , Fernando Miyares Pérez y Bernal ) was a Cuban Captain General , born in Santiago de Cuba , in 1749 .\nFernando Miyares Pérez y Bernal ( sometimes Fernando Miyares y Gonzales ) was a Cuban general captain who was born in 1749 in Santiago de Cuba .\nOutput:"
},
{
"from": "gpt",
"value": "Not paraphrase"
}
] |
[
{
"from": "human",
"value": "The provided text is in Croatian, and we ask you to translate the text to the English language. Please bear in mind the following guidelines while translating: 1) We are looking for the most naturally written and formal form of each sentence in the English language. 2) If you encounter any special characters like '#@%$-+_=^&!*', then do not replace them. *INCLUDE* the special characters as suited when translating to English. Please keep them as they are in the translations. 4) Note the input is all case-sensitive except for special placeholders, and output is expected to be case-sensitive. 6) The input contains punctuations and output is expected to have relevant punctuations for grammatical accuracy.\nOne example is below.\nQ: Želim da sada zamislite nosiv robot koji vam daje nadljudske sposobnosti, ili neki drugi koji omogučuje korisnicima invalidskih kolica da stoje i ponovno hodaju.\nA: I want you now to imagine a wearable robot that gives you superhuman abilities, or another one that takes wheelchair users up standing and walking again.\nRationale: Translation is correct and fluent.\nQ: Dozvolite da vam to predstavim na ovaj način, ako sam upoznala nizozemskog govornika koji je imao lijek za rak, bih li ga spriječila da uđe u moje britansko sveučilište?\nA:"
},
{
"from": "gpt",
"value": "Now let me put it this way, if I met a monolingual Dutch speaker who had the cure for cancer, would I stop him from entering my British University?"
}
] |
[
{
"from": "human",
"value": "In this task, five ordered key facts are given. All the given facts are expressed in natural language. Your job is to generate a story 100 to 1000 words long, that includes all the facts given as input in their order of appearance while expanding upon them to produce a broader, yet coherent, narrative.\n\n[Q]: Fact1: man In travels to visit Kenji Tokyo, Fact2: Kenji is being held in psychiatric ward of hospital, Fact3: ship 's interior is covered with mysterious fungus and mold, Fact4: supply of food stores start to run low, Fact5: Kasai refusing to help find way off island\n[A]: In Tokyo, a man travels to visit university professor Kenji Akira Kubo who is being held in the psychiatric ward of a hospital. He tells the man that what happened to him sounds crazy, but that he is actually not insane. A Japanese yacht on a day trip encounters a nasty storm that nearly capsizes it. The crew and passengers include Kenji; skipper Naoyuki Hiroshi Koizumi; his shipmate assistant Senzo Kenji Sahara; writer Etsuro Yoshida Hiroshi Tachikawa; celebrity Masafumi Kasai Yoshio Tsuchiya, the owner of the yacht; and two female passengers, professional singer Mami Kumi Mizuno and student Akiko Miki Yashiro. The storm leaves their ship in ruin. Without a rudder or sails to steer by, they are forced adrift. A few days after hearing a radio announcement that they were lost at sea, the group arrive at a seemingly deserted island. After spending a day in search of food and water, they come across ponds that seem manmade, full of fresh rain water, along with a seemingly endless forest of mushrooms. However, Naoyuki warns them not to eat the mushrooms, as they may be poisonous. As they cross the island, they come across a shipwreck on the shore. Although it seems to have only been there about a year, the sails are rotted and the ships interior is covered with a mysterious fungus and mold that has spread throughout the ship. Noticing that the mold succumbs to strong cleansing products, they work to clear it from the ship. In doing so, they begin to suspect that the ship had been involved in some sort of nuclear testing of the polluted waters, forcing gross mutations on various objects, including mushrooms. As the days pass, the group begins to grow restless as their supply of food stores start to run low. They try to acquire turtle eggs and birds, though this proves difficult, as birds seem to actively avoid the island. With Kasai refusing to help find a way off the island and instead stealing from the food stores, Yoshida begins to get edgy, eventually eating the mushrooms on the island instead of eating the potatoes and seaweed they are able to find to sustain themselves. One night, as Kasai is raiding the food stores, he is attacked by a grotesquelooking man who promptly disappears after encountering the group, leading them to believe that something is very wrong with the island. Shortly after Yoshida and Kasai fight over Mamis affections, Yoshida goes crazy as a direct result of the mushrooms influence. He pulls a gun on the men, but is locked in Kasais room. Naoyuki decides that they must leave the island in order to survive, but the others disagree, so he departs on his own. Mami frees Yoshida and they attempt to take over the ship, shooting and killing Senzo in the process. Kenji and Akiko manage to wrest control from them and force them off the ship. Kenji finds the yacht adrift and swims out towards it. He finds Naoyuki missing and a note left behind, explaining that Naoyuki is responsible for the deaths of the group and that he has jumped overboard. On the ship, Kasai is confronted by Mami, who entices him to follow her into the forest. Perpetual rainfall had caused wild fungal growth, and Kasai realizes that those who had been eating the mushrooms turned into mushrooms themselves. Due to its addictive nature, no one can escape the mushrooms once they take a bite. Kasai is last seen collapsing as mushroom beings swarm him. Meanwhile, Akiko and Kenji are attacked in force by the mushroom people. They are separated and Akiko is kidnapped. As Kenji tracks her down, he discovers that she has been fed mushrooms and is under their influence along with Mami, Yoshida and Kasai. Kenji attempts to rescue Akiko, but he is overwhelmed by the mushrooms and flees without her, making his way onto the yacht and escaping the island. Several days pass before Kenji is finally rescued. As he waits, he begins to wonder if he should have stayed with Akiko on the island. He turns toward the audience, his face covered in fungal growth, and states that it wouldnt have made a difference if he had stayed or not, but he would have been happier there with his love. The screen fades as Kenji notes that humans are not much different than the mushroom people, and the camera pans over a nightlit Tokyo.\n\n\n[Q]: Fact1: Aegan 's story is based around Shiva CB-CID officer and efforts to foil terrorist John Chinnappa, Fact2: Shiva is attempting to mend relations with father 's estranged first wife and his half-brother, Fact3: Karthikeyan assigns son to go and help solve mission, Fact4: Karthik tells Shiva to attend college to protect Ram Prasad 's daughter from meeting with father, Fact5: Narain is revealed to be Shiva 's brother\n[A]: Aegans story is based around Shiva Ajith Kumar, a CBCID officer, and his efforts to foil the terrorist John Chinnappa Suman. Shiva is simultaneously attempting to mend relations with his fathers estranged first wife and his halfbrother Narain Navdeep. Complications ensue. Major John Chinnappa is a scientist who had created tablets by operating on human guinea pigs. His ploys have always been controversial but inconclusive due to the lack of witnesses. However, an exgang member, General Ram Prasad Devan, became a police approver and is on the verge of revealing Chinnappas ploys to the police. However, he is on the run to avoid charges. The case falls to Commissioner Karthikeyan Nassar, Shivas father, who assigns his son to go and help solve the mission. Karthik tells Shiva to attend college in Tamil Nadu – St. Johns College, Ooty – to protect Ram Prasads daughter, Pooja Piaa Bajpai, from meeting with her father. Shiva pleads that he has never undertaken this type of a mission before and doesnt know much about the current generation. The General points out that, by a strange coincidence, Pooja attends school in the same town where Ram Prasad is hiding. Shiva can protect Pooja and look for Ram Prasad at the same time. Shiva goes undercover as a student returning to college after many years away taking care of the family business. He is much older than the other students, who at first make fun of him because of his lack of newgeneration styles. He also has to deal with the many goofy teachers as well the idiotic forgetful principal of the college, Albert Jayaram. He finds Narain, who is later revealed to be Shivas brother. Pooja is Narains best friend and he is secretly jealous that other girls can get his attention but she cant. Shiva saves Pooja from John Chinnapas men, who kidnap her while Narain and others think its a prank. He later becomes a sensation among the students and teachers. He befriends Narain and Pooja and falls in love with the chemistry teacher, Mallika Nayanthara, after being attracted by her beauty and in a bid to convince other students that he is one of them. During his regular jogging sessions Shiva spots Ram Prasad and chases him till he escapes with the help of an helmetclad bike rider who is later revealed to be Narain. Pooja comes to know that Narain has been helping her father and feels cheated by him. Narain tries to apologise to Pooja many times, but she refuses to talk to him. Irked by this, Narain drinks and explains his actions when Johns men come again to kidnap Pooja. They beat up Narain, but Shiva comes to their rescue. Narain and Pooja patch up after the fight sequences. Shiva takes Narain to his home where he learns that Narain is his brother and meets his mother. The flashback sequences describe Shivas childhood he is an orphan and explain why his mother and father live separately. The next day when Pooja introduces Ram Prasad to Shiva, Shiva arrests him – much to the disappointment of Pooja and Narain. Then everyone in the college including Mallika learns that Shiva is a policeman. Shiva then drives Ram Prasad straight to John Chinnapas hiding place, avoiding the traps that he had set. A fight ensues between Shiva and John Chinnappas men in which John is finally killed. In the final scenes Mallika is shown with Shivas parents and brother while he has gone to Afghanistan as part of another mission.\n\n\n[Q]: Fact1: Steve asks Frank to go in place, Fact2: As film progresses story moves and forth through timeline of Steve 's childhood and aftermath of Frank 's first Lindy hop, Fact3: Steve 's friend does not appear at dance class, Fact4: Frank 's depressive state makes him uncomfortable in environment, Fact5: Frank 's friends from grief therapy convince him to continue\n[A]:"
},
{
"from": "gpt",
"value": "Frank Keane Robert Carlyle is a grieving baker unable to move on after his wifes suicide. Frank happens upon a car accident involving Steve Mills John Goodman who has suffered serious injuries. Steve was on his way to a ballroom dancing class in Pasadena to meet a childhood friend and asks Frank to go in his place. Frank reluctantly agrees. As the film progresses the story moves back and forth through the timeline of Steves childhood, the accident scene, and the aftermath of Franks first Lindy hop. Steves friend does not appear at the dance class. Franks depressive state makes him uncomfortable in an environment with so many people. However, he is drawn to shy student Meredith Marisa Tomei. Some of the students caution him against talking to her. Merediths partner Randall Donnie Wahlberg, the star pupil, is an obnoxious bully who takes an instant dislike to Frank and tries to intimidate him. Franks friends from grief therapy convince him to continue with the dance class and soon the entire therapy group has joined. As the class progresses Frank discovers a natural talent for dance that surpasses Randalls. Randall jealously slashes Franks tires in an attempt to scare off the baker. Frank ignores the attack against the advice of others and forms a friendship with Meredith, who is revealed as Randalls stepsister and not his abused girlfriend as people assumed. Meredith defends her stepbrothers overprotective behavior, which developed in response to their fathers violent physical abuse. Frank eventually scatters his wifes ashes, an act he had been unwilling to perform in the past. He begins to put his life back together. He tracks down Steves childhood friend Camryn Manheim to inform her of Steves death. She reacts as if their missed reunion means nothing, but privately she cries as she sifts through her mementos of Steve. Frank and Meredith begin a relationship, and with the other members of the dance class continue to find friendship and healing in dance.\n\n\n"
}
] |
[
{
"from": "human",
"value": "Instructions: You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.\nInput: Le istituzioni chiave messe in piedi nel 1998 e le loro modifiche nel 2006 e nel 2008 furono molto innovative e permisero alle parti in conflitto di vedere le proprie domande e preoccupazioni risolte.\nOutput:"
},
{
"from": "gpt",
"value": "מוסדות הליבה שהוקמו ב-1998 והשינויים שהוכנסו בהם ב-2006 וב-2008 היו חדשניים באמת ובתמים, ואיפשרו לכל הצדדים בסכסוך לזכות בהתייחסות לכל דאגותיהם ודרישותיהם המרכזיות."
}
] |
[
{
"from": "human",
"value": "Definition: In this task, given a sentence in the Thai language, your task is to convert it into the English language.\nInput: ไม่มีภาพเผยออกมา และไม่มีรายงานอื่นเกี่ยวกับความสำเร็จในการยิงครั้งนี้\nOutput:"
},
{
"from": "gpt",
"value": "No images have been released, and no other reports have confirmed the launch."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given two phrases: Head and Tail, separated with <sep>. The Head and the Tail events are short phrases possibly involving participants. The names of specific people have been replaced by generic words (e.g., PersonX, PersonY, PersonZ). PersonX is always the subject of the event. You have to determine whether PersonX needs what is mentioned in the Tail before the Head or not. Here need is a precondition for PersonX to achieve the event. For example, in order for PersonX to give PersonY gifts, PersonX must first buy the presents. Classify your answers into \"Yes\" and \"No\". The phrase may also contain \"___\", a placeholder that can be an object, a person, and/or an action.\n\nHead: PersonX gets to the point<sep>Tail: to make the conclusion\n"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "Instructions: Given a sentence in the Japanese and Indonesian(Bahasa variant) language. Your task is check if the Bahasa Indonesia sentence is translation of Japanese. if the translation is correct than generate label \"Yes\", otherwise generate label \"No\".\nInput: Japanese: 聖職者は、1861年人身に対する犯罪法に基づいて9つの罪に加えて、「人種的な憎悪を扇動するための脅迫、罵倒や侮辱的な言動をする」という1986年治安維持法に基づく4つの罪に問われている。 \n Bahasa Indonesia: Pemimpin tersebut menghadapi sembilan tuduhan pelanggaran melawan Person Act 1861, ditambah empat tuduhan melawan Public Order Act 1986 tentang \"mengggunakan kata-kata atau perilaku yang mengancam, kasar, atau menghina dengan tujuan membangkitkan kebencian rasial.\"\nOutput:"
},
{
"from": "gpt",
"value": "Yes"
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a set of steps that are required to answer a specific question. Your job is to generate that question. Each given step refers to either an entity (known or unknown), a propery of an entity or a query operation (count, group, union, etc.) Knowing those operations and how they appear in the input may help you generate more accurate questions.\n Select: A select step is used to return a set of objects. There are no references to previous steps in a select step. template: Return [attributes]\n Filter: A filter step is used to return results from a previous step to which a certain condition applies. template: Return [#step] [condition]\n Project: A project step should return certain attributes of the results of a previous step. template: Return [attributes] of [#step]\n Aggregate: An aggregate step returns an aggregator function applied on a step's result. template: Return the [aggregator] of [#step].\n Group: A group step is an aggregator applied on attributes. template: Return the [aggregator] of [#step] for each [attribute]\n Superlative: A superlative step is used to return the result with a highest/lowest attribute among other results. template: Return [#step1] [where] [#step2] [is] [highest / lowest]\n Comparative: A comparative step is used when we need to compare an attribute with a number to filter results. template: Return [#step1] [where] [#step2] [comparator] [number] \n Union: A union step is used to return results of two steps together. template: Return [#step1] [or / ,] [#step2]\n Intersection: An intersection step returns the result that two steps have in common. template: Return [attribute] of both [#step1] and [#step2]\n Discard: A discard step returns result of a step and excludes result of another step from it. template: Return [#step1] besides [#step2]\n Sort: A sort returns result of another step in a specific order. template: Return [#step1] [ordered / sorted by] [#step2]\n Is true: An is true step checks a condition on another result and returns a true or false. template: Return [is / if] [condition]\n Arithmetic: An arithmatic step operates an arithmatic operation on one or more steps. template: Return the [arithmetic op.] of [#step1] [and] [#step2].\nQ: #1 return shiny objects \n#2 return #1 that are purple \n#3 return matte objects \n#4 return number of #2 \n#5 return number of #3 \n#6 return if #4 is lower than #5\nA: "
},
{
"from": "gpt",
"value": "Are there fewer shiny purple objects than there are matte objects?"
}
] |
[
{
"from": "human",
"value": "TASK DEFINITION: You are given a sentence in Spanish. Your job is to translate the Spanish sentence into Polish.\nPROBLEM: La pregunta que queríamos hacernos era: ¿Podría propagarse la emoción de manera más sostenida en el tiempo que en las protestas e involucrar a grandes cantidades de gente y no sólo este par de individuos sonriendo mutuamente en el vagón de metro?\n\nSOLUTION: Pytanie jakie chcieliśmy zadać to: Czy emocje mogą się rozprzestrzeniać w czasie w sposób bardziej zrównoważony niż zamieszki a zarazem angażować dużą ilość ludzi, a nie tylko parę osobników uśmiechających się do siebie w metrze.\n\nPROBLEM: Así, en la izquierda, vemos 100,000 polígonos.\n\nSOLUTION: Po lewej widać 100 000 wielokątów.\n\nPROBLEM: \"\" ¿Diga? eh..., ¿quién?\n\nSOLUTION:"
},
{
"from": "gpt",
"value": "\"\" Halo? Eee, kto?\n\n"
}
] |
[
{
"from": "human",
"value": "You are given a mathematical question described with a circumscribed mathematical vocabulary. Questions in this task usually contain some variables (e.g. X, Y), equations (e.g. X+Y=3) and some relationships (X is greater than Y). Often you need to find the value of the variable using equations and relationships. You are also given 4 or 5 answer options (associated with \"A\", \"B\", \"C\", \"D\", \"E\"). Do not generate anything else apart from one of the following characters: 'A', 'B, 'C', 'D', 'E'. LaTeX mathematical format (the standard way to express mathematical expressions in the typesetting software known as LaTeX) is used to express equations. Each question is solvable with high school math knowledge. Give only one answer for each question.\n\nEx Input:\nIf a and b are positive integers, what is a percent of b percent of 200?\n(A)\\(\\frac{ab}{100}\\) (B)\\(\\frac{ab}{50}\\) (C)ab (D)50ab (E)100ab\n\nEx Output:\nB\n\n\nEx Input:\nThe average (arithmetic mean) of two numbers is equal to twice the positive difference between the two numbers. If the larger number is 35, what is the smaller number?\n(A)3 (B)9 (C)15 (D)21 (E)27\n\nEx Output:\nD\n\n\nEx Input:\nIf \\(n < 3 < \\frac{1}{n}\\), then n could be which of the following?\n(A)5 (B)1 (C)\\(\\frac{1}{3}\\) (D)\\(\\frac{1}{5}\\) (E)\\(-\\frac{1}{5}\\)\n\nEx Output:\n"
},
{
"from": "gpt",
"value": "D\n\n\n"
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Persian. Your job is to translate the Farsi sentence into Polish.\nInput: او باور داشت كه دولت مى توانست توسط مردم ساخته شود ، و ما آن مردم را هكرهاى مدنى می ناميم.\nOutput:"
},
{
"from": "gpt",
"value": "Wierzył, że rząd może zostać stworzony przez ludzi, których my nazywamy hakerami obywatelskimi."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. In this task, you are given a sentence in the Japanese language and your task is to convert it into the English language. In translation, keep numbers as it is and make it sentence case (capitalize only the first word of each sentence and noun).\n\n決勝は９月８日にロンドンのローズクリケット場で行われる。\n"
},
{
"from": "gpt",
"value": "The final match will be played at Lord's, London on 8 September."
}
] |
[
{
"from": "human",
"value": "In the following task, you are given a yes/no question, its answer, and additional information which includes a description of a key term in the question and several facts. Your task is to \"decompose the question\"i.e. write the steps required to construct the given answer where each step is a question that can be answered using Wikipedia articles. To decompose the question, think of a decomposition strategy you could apply to answer the question through a search against Wikipedia. The decomposition strategy might not be obvious for some questions. For this reason, you are provided with additional information. You are not required to write decompositions that exactly match the provided facts, they are only meant as guidance. If the facts are too noisy, think about how you would have used Wikipedia to answer this question to create the decomposition. \"not_definitive_answer\" is true if there is no clear answer i.e. the question is ambiguous or a subjective opinion.\"incorrect_answer\" is true if the answer to the question is not correct. If the answer is incorrect, write a decomposition that evaluates the correct answer. Each question should be easy to answer based on simple facts from Wikipedia pages, or a simple check using the answers to preceding questions. To ensure this, we also ask you to enter a potential Wikipedia article that would contain the answer to each question. If you can not think of a Wikipedia page that can answer your question, please think of a different strategy. You do not need to enter a Wikipedia page for steps that don't add new information and only contain simple checks. The answer to the final question is the same as the answer to the original question. Every question's answer has an impact on the final answer and there should be no redundant steps in the decomposition.\nQ: Question: Is the Holy Land important to Eastern religions?, Answer:No, Description of Holy Land: Term used by Jews, Christians, and Muslims to describe the Land of Israel and Palestine, Fact1: Eastern religions include Hinduism, Buddhism, and Shintoism., Fact2: Hinduism recognizes seven Holy Cities which are Ayodhya, Mathura, Haridwar, Varanasi, Kanchipuram, Dvaraka and Ujjain., Fact3: Bodh Gaya: (in the current Mahabodhi Temple, Bihar, India), is the most important religious site and place of pilgrimage for Buddhists., Fact4: The most sacred Shinto shrine is located in the city of Ise, within the Shima Peninsula of Japan.\nA: "
},
{
"from": "gpt",
"value": "Step1: What are some typical Eastern religions?, Step2: Which place is referred to as the Holy Land?, Step3: Which places do some of #1 consider sacred or holy?, Step4: Is #2 included in #3?, Wikipedia page for step 1: Eastern religion, Wikipedia page for step 2: Holy Land, Wikipedia page for step 3: Hinduism, Wikipedia page for step 4: , not_definitive_answer: False, incorrect_answer: False"
}
] |
[
{
"from": "human",
"value": "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.\nInput: Question: Which of the Churchill brothers died first? Passage:Lady Eden was born in 1920, the daughter of Major Jack Spencer-Churchill (1880–1947), the younger brother of Winston Churchill, by his marriage to Lady Gwendoline (\"Goonie\") Bertie (1885–1941), a daughter of the 7th Earl of Abingdon, who had been married in 1908. She is thus a niece of Winston Churchill, who was Prime Minister during the Second World War, and a granddaughter of Lord Randolph Churchill, Chancellor of the Exchequer 1886–87, and his wife the American society beauty Jennie Jerome. Her paternal great-grandfather was the 7th Duke of Marlborough, and her maternal great-great-grandfather the 3rd Marquess of Londonderry, half-brother of the 2nd Marquess, who, as Viscount Castlereagh was Foreign Secretary during the Congress of Vienna of 1815 that followed the Napoleonic Wars.\n\nOutput:"
},
{
"from": "gpt",
"value": "Lady Eden was born in 1920, the daughter of Major Jack Spencer-Churchill (1880–1947), the younger brother of Winston Churchill, by his marriage to Lady Gwendoline (\"Goonie\") Bertie (1885–1941), a daughter of the 7th Earl of Abingdon, who had been married in 1908"
}
] |
[
{
"from": "human",
"value": "Q: A text is given in English. Translate it from the English language to the Urdu language. The translation must not omit or add information to the original sentence.\nکامرس کا محکمہ اس وقت ادیوگ بھون میں اپنا کام کاج چلارہا ہے، جہاں ہندوستان کی حکومت کے محکموں کے دیگر بہت سے دفاتر ہیں۔\nA:"
},
{
"from": "gpt",
"value": "The Department of Commerce is currently housed in UdyogBhawan which also houses a large number of other Government of India departments leading to constraint of space."
}
] |
[
{
"from": "human",
"value": "Q: Given a sentence in Spanish, generate a new Spanish 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.\nSi quieres desnudarte entonces debes usar jabón y lavar la ropa.\nA:"
},
{
"from": "gpt",
"value": "Si quieres bañarte entonces debes usar jabón y agua."
}
] |
[
{
"from": "human",
"value": "You are given a conversation between two people. 'Person1:' and 'Person2:' are used to separate their respective dialogues. If the conversation begins with a question, label it '1' otherwise '0'.\n\n[Q]: Person1: Are you new here ? \n Person2: Yes , I am . \n Person1: Is this your first year in college ? \n Person2: I actually transferred here from another school . \n Person1: Which school ? \n Person2: I transferred from PCC . \n Person1: How do you like it here compared to PCC ? \n Person2: I love it here . \n Person1: Do you like it better here or at PCC ? \n Person2: Don ’ t get me wrong . I like it here , but PCC is better . \n Person1: So , why did you leave PCC ? \n Person2: Because I got my AA and now I am going towards my bachelor degree . \n[A]: 1\n\n\n[Q]: Person1: would you like to learn to tango Donar ? \n Person2: right now ? \n Person1: i am offering you my services . for your church . what do you say ? \n Person2: i think i'll be a little afraid . \n Person1: of what ? \n Person2: afraid of making a mistake . \n Person1: no mistakes in a tango Donar.not like life , simple , that will make the tango so great . if you make a mistake , you'll get all tango done . just tango along . why don't you try ? will you try it . \n Person2: all right . i'll give it a try . \n[A]: 0\n\n\n[Q]: Person1: I heard you were promoted to general manager of IBM ’ s China Head quarters . \n Person2: That ’ s true . I got the news yesterday . \n Person1: You did a good job for the company . So , this is your first day in the new position . How do you feel ? \n Person2: Not bad . I ’ m confident . And I like challenges . \n Person1: I believe you are cut out for this position . \n Person2: Thank you . \n[A]:"
},
{
"from": "gpt",
"value": "0\n\n\n"
}
] |
[
{
"from": "human",
"value": "Instructions: You are given a statement written in Kannada. 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 .\nInput: Statement: ಯೊಮ್ ಕಿಪ್ಪೂರ್ ಯುದ್ಧ , ರಮಾದಾನ್ ಯುದ್ಧ ಅಥವಾ ಅಕ್ಟೋಬರ್ ಯುದ್ಧ (מלחמת יום הכיפורים; ಲಿಪ್ಯಂತರ: ಮಿಲ್ಹೆಮೆತ್ ಯೊಮ್ ಹಕಿಪುರಿಂ ಅಥವಾ ಮಿಲ್ಹೆಮೆತ್ ಯೊಮ್ ಕಿಪ್ಪೂರ್ ; حرب أكتوبر; ಲಿಪ್ಯಂತರ: ಹರ್ಬ್ ಅಕ್ಟೋಬರ್ ಅಥವಾ ಹರ್ಬ್ ತಿಶ್ರಿನ್ ), ೧೯೭೩ ಅರಬ್-ಇಸ್ರೇಲಿ ಯುದ್ಧ ಹಾಗು ನಾಲ್ಕನೆಯ ಅರಬ್-ಇಸ್ರೇಲಿ ಯುದ್ಧ , ಈ ಯುಧ ಅಕ್ಟೋಬರ್ ೬ ರಿಂದ ೨೫, ೧೯೭೩, <MASK> ಹಾಗು ಈಜಿಪ್ಟ್ ಹಾಗು ಸಿರಿಯಾ ನೇತೃತ್ವದಲ್ಲಿ ಅರಬ್ ರಾಜ್ಯಗಳ ಒಕ್ಕೂಟದ ನಡುವೆ ನಡೆಯಿತು.\n\n Option A: ಆಗ್ರಾ \n\n Option B: ಸಿರಿಯಾ\n\n Option C: ಈಜಿಪ್ಟ್\n\n Option D: ಇಸ್ರೇಲ್\nOutput:"
},
{
"from": "gpt",
"value": "ಇಸ್ರೇಲ್"
}
] |
[
{
"from": "human",
"value": "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.\n\nLet me give you an example: 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.\nThe answer to this example can be: 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.\nHere is why: The passage describes the 704th's actions during Operation Market Garden.\n\nOK. solve this:\nQuestion: How long did the bloody Japanese period last during which the Japanese were introduced to the arquebus? Passage:In 1543, Europeans reached Japan for the first time when a junk belonging to the Chinese wokou pirate lord Wang Zhi carrying Portuguese traders shipwrecked on Tanegashima. The Portuguese introduced the arquebus to the Japanese during this chance encounter, which gave the Japanese, undergoing the bloody Sengoku period at the time, a powerful weapon with which they conducted their internecine wars. The discovery of Japan was attractive to Portuguese merchants and missionaries alike, for it gave the merchants a new market to trade their goods, and the Jesuit missionaries eyed Japan for new converts into Christianity. The warlords of Kyushu vied to get the Portuguese carrack (called the black ship by the Japanese) into their harbours, since the ship also brought considerable wealth to their fiefdoms in addition to the guns.\n\nAnswer:"
},
{
"from": "gpt",
"value": "The Portuguese introduced the arquebus to the Japanese during this chance encounter, which gave the Japanese, undergoing the bloody Sengoku period at the time, a powerful weapon with which they conducted their internecine wars"
}
] |
[
{
"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\nExample input: Context : Isaac Nicola Romero (1916 in Havana, Cuba -- 1997) was a prominent Cuban guitarist and one of the founders of the modern Cuban Guitar School. \nSubject : Isaac Nicola \nRelation : place of birth\nExample output: What was Isaac Nicola's city of birth?\nExample explanation: Here the question is generated on Isaac Nicola Romero who is the subject and the relation of question to the context is about the place of birth of Isaac Nicola Romero. Hence generated question is correct\nQ: Context : Shen Ye (traditional Chinese: 沈燁; simplified Chinese: 沈烨; born 11 March 1987) is a male Chinese badminton player. \nSubject : Shen Ye \nRelation : sex or gender\nA:"
},
{
"from": "gpt",
"value": "What was Shen Ye's gender?"
}
] |
[
{
"from": "human",
"value": "You are given a sentence in Italian. Your job is to translate the Italian sentence into Hebrew.\nExample: \"\" Nessun uomo è un'isola completamente a sé.\nExample solution: \"\" אף אדם אינו אי העומד בפני עצמו.\nExample explanation: The Italian sentence is correctly translated into Hebrew, because the meaning is preserved.\n\nProblem: Sfortunatamente questo non spiega come mai così tanti designers siano principalmente interessati alla progettazione di sedie.\n"
},
{
"from": "gpt",
"value": "Solution: לרוע המזל, זה לא מסביר למה רבים מהמעצבים ממשיכים להתעניין בעיקר בעיצוב כיסאות."
}
] |
[
{
"from": "human",
"value": "A text is given in English. Translate it from the English language to the Panjabi language. The translation must not omit or add information to the original sentence.\n--------\nQuestion: ਪ੍ਰਧਾਨ ਮੰਤਰੀ ਨੇ ਇੱਕ ਤਖ਼ਤੀ ਤੋਂ ਪਰਦਾ ਹਟਾ ਕੇ ਭਾਰਤੀ ਟੈਕਨੋਲੋਜੀ ਸੰਸਥਾਨ, ਧਾਰਵਾੜ ਅਤੇ ਭਾਰਤੀ ਸੂਚਨਾ ਟੈਕਨੋਲੋਜੀ ਸੰਸਥਾਨ, ਧਾਰਵਾੜ ਦਾ ਨੀਂਹ ਪੱਥਰ ਰੱਖਿਆ।\n\nAnswer: PM unveiled a plaque to mark the laying of foundation stone of Indian Institute of Technology Dharwad and Indian Institute of Information Technology Dharwad.\n\n\nQuestion: ਜੋ ਦੁਨੀਆ ਦੇ ਕਿਸੇ ਦੇਸ਼ ਵਿੱਚ ਇੰਨਾ ਘੱਟ ਨਹੀਂ ਹੁੰਦਾ ਹੈ । ਅਤੇ ਮੈਂ ਉਨ੍ਹਾਂ ਨਾਲ ਅੱਧਾ ਦਿਨ ਲਗਾਇਆ ਸੀ ਕਿ ਸਾਡੇ corporate world ਦਾ investment , agriculture ਵਿੱਚ ਕਿਵੇਂ ਆਵੇ ਅਤੇ ਇਹ one percent ਵਿੱਚ ਵੀ ਕੀ ਹੁੰਦਾ ਹੈ - ਟਰੈਕਟਰ ਬਣਾਉਣ ਵਾਲੇ ਜਾਂ ਯੂਰੀਆ ਬਣਾਉਣ ਵਾਲੇ, ਉਹ ਹੀ ਜਿਆਦਾ ਹਨ ।\n\nAnswer: Just a while ago, Suri ji was saying that we could produce fruit juices out of the pulps of the fruits that are grown in the country. This decision is going to highly benefit the farmers.\n\n\nQuestion: ਸਾਡੀ ਗਿਣਤੀ ਵੀ ਸਾਲ 2017 ਵਿੱਚ ਵਿਸ਼ਵ ਦੇ ਸਭ ਤੋਂ ਤੇਜ਼ੀ ਨਾਲ ਵਧਦੀਆਂ ਟੂਰਿਜ਼ਮ ਮੰਜ਼ਿਲਾ ਵਿੱਚ ਹੋਈ ਸੀ। ਸਾਲ 2016 ਦੀ ਤੁਲਨਾ ਵਿੱਚ ਭਾਰਤ ਦੀ ਵਾਧਾ ਦਰ 14 % ਰਹੀ ਸੀ, ਜਦੋਂ ਕਿ ਉਸੇ ਸਾਲ ਵਿਸ਼ਵ ਪੱਧਰ ‘ਤੇ ਵਾਧਾ ਦਰ ਔਸਤਨ 7% ਹੀ ਸੀ। ਭਾਰਤ ਪਿਛਲੇ ਚਾਰ ਸਾਲਾਂ ਦੇ ਦੌਰਾਨ ਯਾਤਰੀ ਟਿਕਟਾਂ ਵਿੱਚ ਦਹਾਈ ਅੰਕਾਂ ਵਿੱਚ ਵਾਧੇ ਦੀ ਦ੍ਰਿਸ਼ਟੀ ਤੋਂ ਦੁਨੀਆ ਦਾ ਸਭ ਤੋਂ ਤੇਜ਼ੀ ਨਾਲ ਵਧਦਾ ਹਵਾਬਾਜ਼ੀ ਬਜ਼ਾਰ ਵੀ ਰਹੀ ਹੈ।\n\nAnswer:"
},
{
"from": "gpt",
"value": "India had a growth of 14 percent over 2016, while the world grew at an average of 7 percent in the same year. We have also been the fastest growing aviation market in the world, with double-digit growth in passenger ticketing terms, for over four years.\n\n\n"
}
] |
[
{
"from": "human",
"value": "A text is given in Tamil. Translate it from the Tamil language to the Hindi language. The translation must not omit or add information to the original sentence.\nOne example is below.\nQ: முன் கூட்டி அறிந்துகொள்ள முடியாத பருவநிலையினால் ஏற்படும் பாதிப்புகளில் இருந்து விவசாயிகலை பாதுகாக்க பிரதமர் பயிர் காப்பீட்டுத் திட்டம் செயல்படுத்தப்படுகிறது\nA: फार्म की रक्षा के लिए प्रधान मंत्री की फसल बीमा योजना लागू की जाती है\nRationale: Correct translation for given sentence. Input sentence means 'The Prime Minister's Crop Insurance Plan is implemented to protect the farm' which is the same as the output sentence.\nQ: பொதுத்துறை நிறுவனங்கள், பொதுத்துறை வங்கிகள், நிதி நிறுவனங்கள், மத்திய அரசு துறைகள், அமைச்சகங்கள் ஆகியவற்றுக்கு ஆண்டுக்கு ஒருதடவை நேர்மைக் குறியீடு தரப்பட்டியல் வெளியிடப்படும்.\nA:"
},
{
"from": "gpt",
"value": "नई पहल होने के कारण एकीकृत सूचकांक बनाने के लिए (संलग्न सूचकांक के अनुसार) आरंभ में 25 संगठनों का चयन किया गया है।"
}
] |
[
{
"from": "human",
"value": "Given the task definition, example input & output, solve the new input case.\nIndicate if the following Polish tweet contains cyber-bullying content with 'Yes'; otherwise, respond with 'No'.\nExample: Tweet: @anonymized_account @anonymized_account @anonymized_account Gdzie jest @anonymized_account . Brudziński jesteś kłamcą i marnym kutasem @anonymized_account, Question: Does the tweet contain cyberbullying (harmful) content?\nOutput: Yes\nThe tweet contains Bullying content\n\nNew input case for you: Tweet: Ale co to znaczy w kosmosie , Question: Does the tweet contain cyberbullying (harmful) content?\nOutput:"
},
{
"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 Galician. Your job is to translate the Galician sentence into Japanese.\n\nNa esquina superior dereita da imaxe da esquerda é case o Delta do Mississippi, e a parte inferior esquerda da imaxe é a fronteira de Texas con México.\nOutput:"
},
{
"from": "gpt",
"value": "左の写真の右上部分はミシシッピデルタの近くですその写真の左下はテキサス州とメキシコの国境です"
}
] |
[
{
"from": "human",
"value": "In this task, you will be presented with a question having multiple possible answers in Hindi language. And you should choose a most suitable option out of \"A\", \"B\", \"C\", \"D\", and \"E\" based on your commonsense knowledge.\n\nQ: Question: ग्राहकों की अच्छी तरह से सेवा करने के लिए एक सर्वर की क्या आवश्यकता है? \n Options: A ड्राइवर का लाइसेंस B व्यावसायिक C पैसा बनाएं D सभ्य E मुस्कुराओ \n\nA: D\n****\nQ: Question: यदि आप Schlitz पी रहे हैं तो आपका कॉन्डो कहां है? \n Options: A मिलवौकी B Faridabad C आवासीय क्षेत्र D उपनगरों E Schlitztown \n\nA: A\n****\nQ: Question: आप कला क्यों बनाते हैं? \n Options: A रचनात्मक B प्रेरित करती है C अपने आप को व्यक्त करो D सिद्धि की अनुभूति E मज़े करो \n\nA:"
},
{
"from": "gpt",
"value": "C\n****\n"
}
] |
[
{
"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\n[EX Q]: The hormone melatonin regulates the sleep and this pineal hormone is synthesized in the organism from the amino acid tryptophan. It is known that breast-fed babies have better sleep patterns and a better entrained sleep/wake cycle than bottle-fed babies (adapted formula).', \"To compare the circadian rhythm of 6-sulfatoxymelatonin (aMT6s)--the metabolite of melatonin excreted in the urine--in urine of bottle-fed and breast-fed children, and relate it to the circadian rhythm of tryptophan in breast milk, also evaluating the possible effects on the baby's night-time rest.\", '16 infants of 12 weeks of age were studied, divided into two groups depending on their exclusively natural or artificial feeding. The circadian rhythm of 6-sulfatoxymelatonin in urine was measured for the two groups of infants and for the breast-feeding mothers. In the breast milk, the circadian rhythm of the amino acid tryptophan was measured. The rest of the infants was tested by wrist actimeters for a week and the sleep parameters of the infants were measured and evaluated.', 'The tryptophan in the breast milk presented a circadian rhythm with acrophase at around 03:00. This affected the 6-sulfatoxymelatonin circadian rhythm with acrophase at 06:00 in the breast-fed infants, and also promoted nocturnal sleep. Assumed sleep, actual sleep, and sleep efficiency were significantly increased in the breast fed infants with respect the formula fed infants.\n[EX A]: 1\n\n[EX Q]: To explore the effect of delta-opioid receptor (DOR) in electroacupuncture (EA) protecting the brain against acute ischemic injury.', 'Fifty-one rats were randomly divided into sham ischemia group, ischemia group, sham EA group, EA group, and EA+DOR antagonist (naltrindole) group. Transient focal cerebral ischemia (1 hour) was induced in rat brain by middle cerebral artery occlusion (MCAO) method. EA was applied on Shuigou (GV 26) and Neiguan (PC 6) for 30 min, starting immediately after the onset of reperfusion. Neurological deficit scores and volume of cerebral infarction were detected after 24-hour reperfusion. Other 12 rats were randomly divided into sham ischemia group, ischemia group, EA group and EA + naltrindole group. DOR protein expressions were assessed by Western blotting after 24-hour reperfusion.', 'In comparison with the ischemia group and sham EA group, EA significantly reduced ischemic infarction and neurological deficits (P<0.05); EA significantly increased the expression of 60 kD DOR protein (P<0.05) and tended to increase that of 36 kD DOR protein (P>0.05). When naltrindole was combined with EA, the naltrindole completely abolished the EA-induced protection in ischemic infarction and neurological deficits, and also arrested the expression of DOR.\n[EX A]: 1\n\n[EX Q]: This study examined the predictive factors of preference for residential care in cognitively intact and impaired elders and their family caregivers. It was hypothesized that disagreement in preference for residential care between the elders and their caregivers was greater in the cognitively impaired.', 'A cross-sectional survey was conducted during June 2007 to March 2008 in Hong Kong, and 707 community-dwelling elders aged 65 and above and 705 family caregivers were interviewed. Cognitively impaired elders were over-sampled to give reliable estimates for that sub-group. A structural questionnaire was used to collect data on preference for residential care and potential factors. Logistic regression was used to identify the predictors.', \"More cognitively impaired elder-caregiver dyads (37.4%) had disagreement in preference for residential care than cognitively intact elder-caregiver dyads (20.5%) (p < .001). From the elders' perspective, less preference for residential care was associated with cognitive impairment, whereas greater preference was associated with depression (for cognitively intact elders), more usage of community service and functional impairment. From the caregivers' perspective, greater preference for residential care was associated with greater caregiver burden, or care-recipients having cognitive or functional impairment, or more usage of community services.\n[EX A]:"
},
{
"from": "gpt",
"value": "1\n\n"
}
] |
[
{
"from": "human",
"value": "Teacher:You are given a sentence in Persian. Your job is to translate the Farsi sentence into Arabic.\nTeacher: Now, understand the problem? Solve this instance: این اتصالات اغلب فشار غیر قابل تحملی در اندام بیمار وارد میکند ، که باعث زخم و تاول های زیادی می شود\nStudent:"
},
{
"from": "gpt",
"value": "ومثل هذه المحاجر تسبب كمية لا تحتمل من الضغط على أطراف المريض ، مخلفةً تقرحات جلدية."
}
] |
[
{
"from": "human",
"value": "You will be given a trivia clue, and the category it belongs to. You should answer with the best answer that belongs in the category and is described by the clue. For simplicity, answers should be in all lower cased letters.\nExample: Category: HOMOPHONIC PAIRS \nClue: It's a notation on a percussion store to clash\nExample solution: cymbal symbol\nExample explanation: \"Cymbal\" and \"symbol\" both have the same pronunciations but different meanings, hence they are homophonic pairs. A symbol is the notation and a cymbal is a percussion instrument that clashes and rings.\n\nProblem: Category: CLASSIC LITERATURE \nClue: In this 3-part work, the main character encounters Nimrod, Ulysses, Muhammad & Thomas Aquinas\n"
},
{
"from": "gpt",
"value": "Solution: \\\"the divine comedy\\\""
}
] |
[
{
"from": "human",
"value": "In this task, you will be given a short story. One sentence from the story is chosen. Consider the likely emotions and basic human drives of the participants in that sentence. Does any of these states of mind/feelings motivate the participant to do what happens in that sentence? You should write your answer in the form \" A >Motivates> B\". Try to use phrases and sentences from the story to compose your answer when possible. For the motivation sentence, you must choose a verb from :feel(s), want(s) or like(s). There will always be some motivation in the given story.\nOne example: story: Rita loved riding her bike down the trails of the state park. While she was riding, she came across a bear. She immediately hit a side path. She pedaled as fast as she could out of the state park. Rita will now only go on the trails when she is with friends.\n selected sentence: Rita will now only go on the trails when she is with friends.\nSolution is here: Rita feel(s) scared >Motivates> Rita will only go on the trails with her friends\nExplanation: The story is about Rita being scared in her experience, so the answer is correct.\n\nNow, solve this: story: Brad's feet hurt. He needed new shoes. His old shoes were too small. He bought a brand new pair. His feet felt better than ever!\n selected sentence: His old shoes were too small.\nSolution:"
},
{
"from": "gpt",
"value": "Brad want(s) new shoes >Motivates> He also had old small shoes."
}
] |
[
{
"from": "human",
"value": "Definition: You are given a sentence in Portuguese. Your job is to translate the Portuguese sentence into Farsi.\nInput: São histórias inventadas e mantidas pelos poderosos gurus a que chamamos advogados.\nOutput:"
},
{
"from": "gpt",
"value": "آنها داستانهایی هستند که جادوگران پرقدرتی به نام وکلا آنها را ساخته و نگه داشته اند."
}
] |
[
{
"from": "human",
"value": "Given the task definition and input, reply with output. The provided file includes inquiries about restaurants in Chinese, and we ask you to translate those to English language. Please bear in mind the following guidelines while doing the translation: 1) We are looking for the most naturally written and formal form of each sentence in your language. We are *NOT* looking for colloquial forms of the sentence. We are looking for formal form which is how you would type your queries in a text-based virtual assistant. 2) The words between quotation marks *SHOULD NOT* be translated. We expect you to keep those values intact and include the quotation marks around them as well. 3) The fully capitalized words like DATE_0, or DURATION_0 *SHOULD NOT* be translated. Please keep them as they are in the translations. 4) Please do not localize measurement units like miles to kilometers during your translation. miles should be translated to its equivalent in your language. 6) Note the input is all lowercased except for fully capitalized special placeholders (e.g. NUMBER, DATE, TIME). Please do the same in your translations.\n\n查找\" detroit \"内吃饭的地方。\n"
},
{
"from": "gpt",
"value": "find me some places to eat in \" detroit \" ."
}
] |
[
{
"from": "human",
"value": "This task is about translating a given Yoruba language sentence to English.\n--------\nQuestion: Ṣé mo lè ya àwòrán yín\n\nAnswer: Can I get a picture please?\n\n\nQuestion: Ọ̀pọ̀lọ̀ ń yan káńdú-kàǹdù-káńdú lóju ẹlẹ́gùúsí; ẹlẹ́gùúsí ò gbọdọ̀ yí i lata.\n\nAnswer: The toad struts nonchalantly before the person cooking ẹ̀gúsí stew; the person cooking the ẹ̀gúsí stew will never add it to the ingredients.\n\n\nQuestion: Ilẹ̀ẹ́lẹ̀ nìyẹn, ṣó yé?\n\nAnswer:"
},
{
"from": "gpt",
"value": "That's the floor, OK?\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.\nIn this task, you need to Translate Czech text to English.\n\nŘešení se týká herbicidů a regulátorů růstu rostlin, obzvláště herbicidů pro selektivní potírání plevelů v kulturách užitkových rostlin. Konkrétně se týká nových acylovaných aminofenylsulfonylmočovin obecného vzorce I, způsobu jejich výroby a nových meziproduktů pro jejich výrobu, jakož i jejich použití.ŕ\nSolution: The present invention relates to herbicides and plant growth regulators, in particular herbicides for the selective control of weeds in crops of useful plants. In particular, it relates to novel acylated aminophenylsulfonylureas of formula I, to a process for their preparation and to novel intermediates for their preparation as well as to their use.\nWhy? The translation is fluent, formal, and accurate\n\nNew input: Sledování dopravníkových pásu se provádí snímáním pruchodu znacek na pásu a vyhodnocováním jejich zjistené polohy. Soucasne se merí vzdálenost mezi mericími znackami v alespon jedné dvojici mericíchznacek, vytvorených podél jednoho i podél druhéhookraje dopravníkového pásu, v okolí téhoz spoje dopravního pásu, pricemz obe takto namerené vzdálenosti se od sebe odecítají a hodnota tohoto rozdílujejich vzdáleností se uchovává a porovnává s pozdeji stejným zpusobem zjisteným rozdílem, platným pro týz spoj, ale pro prístí a/nebo nekterý z následujících pruchodu tohoto spoje okolo mericího místa, s tím, ze zmení-li se hodnota sledovaného rozdílu vzdáleností mericích znacek levého a pravého okraje o více, nez je nastavená mez, generuje se varovné hlásení a/nebo se generuje impulz k zastavenídopravníkového pásu. Dopravník obsahuje nosnou konstrukci dopravníku s pohonnými a napínacími bubnya s nosnými vodicími válecky, ohebný dopravníkovýpás se zabudovanými mericími znackami (121, 122, 123, 124) a jeste obsahující v blízkosti dopravníkového pásu (1), v mericích místech ulozené snímaceci snímací zarízení (4). Po kazdé strane dopravníkového pásu (1) je umísteno alespon jedno snímací zarízení (4), upravené pro detekci pruchodu alespon mericích znacek (121, 122, 123, 124), napojené na vyhodnocovací zarízení (8) pro sledování dopravníkového pásu (1), upravené alespon pro merení a záznam vzdáleností mezi mericími znackami (121, 122,123, 124) po kazdé strane dopravníkového pásu (1)a/nebo pro vyhodnocování rozdílu mezi vzdálenostítechto znacek ve dvojici na jedné a na druhé strane dopravníkového pásu (1), vzdy pro týz spoj (11)dopravníkového pásu (1).\nSolution:"
},
{
"from": "gpt",
"value": "The tracking of the conveyor belts is carried out by sensing the passage of the markings on the belt and evaluating their detected position. At the same time, the distance between the measuring marks is measured in at least one pair of measuring pins formed along one and along the other side of the conveyor belt, in the vicinity of the same conveyor belt joint, whereby the two distances measured are subtracted from each other and the value of the different distances is stored and compared with the same ones. in the manner detected by the difference valid for the same joint, but for the port and / or any of the following passages of that joint around the measuring point, provided that the value of the tracked difference between the left and right measurement markers is more than the set limit , a warning message is generated and / or an impulse is generated to stop the conveyor belt. The conveyor comprises a conveyor supporting structure with drive and tensioning rollers with supporting guide rollers, a flexible conveyor belt with built-in measuring marks (121, 122, 123, 124) and yet containing near the conveyor belt (1), sensing sensor devices (4 ). On each side of the conveyor belt (1) there is at least one sensing device (4) arranged to detect the passage at least of the measuring marks (121, 122, 123, 124) connected to the evaluation device (8) for monitoring the conveyor belt (1), adapted at least for measuring and recording the distances between the measuring marks (121, 122, 123, 124) on each side of the conveyor belt (1) and / or for evaluating the difference between the distance of the marks in the pair on one and the other side of the conveyor belt (1), for each the same connection (11) to the conveyor belt (1)."
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.