Split (2)

train · 6.16k rows

conversations listlengths 3 3
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- For their extraordinary efforts to help change the world and better the lives of others, 10 everyday people will receive $50,000 and a chance for much more. \n\nThis select group -- the top 10 CNN Heroes of 2012 -- was revealed Thursday. \n\nAll the top 10 were nominated by CNN's global audience and profiled earlier this year on CNN. They will be honored at \"CNN Heroes: An All-Star Tribute,\" a globally broadcast event that airs live December 2 at 9 p.m. ET/6 p.m. PT. \n\nAt the tribute show, hosted by Anderson Cooper in Los Angeles, one of the top 10 will be named CNN Hero of the Year and receive an additional $250,000 to continue their work. \n\nThe Hero of the Year is decided by a public vote. Through November 28, you can vote for your favorite Hero at CNNHeroes.com or from your mobile device. \n\nThis is the sixth year CNN has conducted its annual search for CNN Heroes. In those years, the campaign has profiled more than 180 people on CNN and CNN.com. \n\nHere are the top 10 Heroes of 2012, in alphabetical order: \n\nPushpa Basnet Pushpa Basnet was shocked to learn that many children in Nepal have to live in prisons with their parents. In 2005, she started a children's center that has provided support, such as housing, education and medical care, to more than 140 children of incarcerated parents. \n\nWanda Butts Wanda Butts lost her son in a drowning accident six years ago. In his memory, she started the Josh Project, a nonprofit that taught nearly 1,200 children -- most of them minorities -- how to swim. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20623\": \"How much money will the ten people receive?\"\n },\n {\n \"20624\": \"Is more possible?\"\n },\n {\n \"20625\": \"When was the group announced?\"\n },\n {\n \"20626\": \"Who nominated people for the list?\"\n },\n {\n \"20627\": \"How many times has CNN done this?\"\n },\n {\n \"20628\": \"How often?\"\n },\n {\n \"20629\": \"Are they going to be honored at an event?\"\n },\n {\n \"20630\": \"Is it televised?\"\n },\n {\n \"20631\": \"When?\"\n },\n {\n \"20632\": \"What time?\"\n },\n {\n \"20633\": \"What time can I see it on the west coast?\"\n },\n {\n \"20634\": \"What is it called?\"\n },\n {\n \"20635\": \"What year was Basnet nominated?\"\n },\n {\n \"20636\": \"What kind of center did she begin?\"\n },\n {\n \"20637\": \"When?\"\n },\n {\n \"20638\": \"How many kids has it helped?\"\n },\n {\n \"20639\": \"With what kind of things?\"\n },\n {\n \"20640\": \"Where are their parents?\"\n },\n {\n \"20641\": \"Who founded the Josh Project?\"\n },\n {\n \"20642\": \"What do they help kids learn to do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20623\",\n \"answer\": \"$50,000\"\n },\n {\n \"question_id\": \"20624\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20625\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"20626\",\n \"answer\": \"CNN's global audience\"\n },\n {\n \"question_id\": \"20627\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"20628\",\n \"answer\": \"Annually\"\n },\n {\n \"question_id\": \"20629\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20630\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20631\",\n \"answer\": \"December 2nd\"\n },\n {\n \"question_id\": \"20632\",\n \"answer\": \"9 p.m. ET\"\n },\n {\n \"question_id\": \"20633\",\n \"answer\": \"6 p.m\"\n },\n {\n \"question_id\": \"20634\",\n \"answer\": \"\\\"CNN Heroes: An All-Star Tribute,\\\"\"\n },\n {\n \"question_id\": \"20635\",\n \"answer\": \"2012\"\n },\n {\n \"question_id\": \"20636\",\n \"answer\": \"A children's center\"\n },\n {\n \"question_id\": \"20637\",\n \"answer\": \"In 2005\"\n },\n {\n \"question_id\": \"20638\",\n \"answer\": \"More than 140\"\n },\n {\n \"question_id\": \"20639\",\n \"answer\": \"housing, education and medical care\"\n },\n {\n \"question_id\": \"20640\",\n \"answer\": \"Incarcerated\"\n },\n {\n \"question_id\": \"20641\",\n \"answer\": \"Wanda Butts\"\n },\n {\n \"question_id\": \"20642\",\n \"answer\": \"Swim\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n St. Paul, Minnesota (CNN) -- When Max Adrien first heard that a massive earthquake had leveled Port-au-Prince, Haiti, it hit close to home. \n\nHis brother lives in Haiti, and thankfully survived the January 12 disaster unharmed. \n\nAdrien's first instinct was to help his home country. \n\n\"I said to myself, 'I need to go to Haiti.'\" \n\nAfter speaking to his brother, he realized that he would need a skill that was in immediate demand. Otherwise he would just be in the way of other relief efforts. \n\nSo he came up with a unique idea. \n\n\"I decided to give Haiti what I have, which is teaching,\" said Adrien, who is a French professor at Hamline University in St. Paul, Minnesota. \"I don't think I can give Haiti a better gift.\" \n\nAnd that's how his Haitian Creole class was born. \n\n\"I'm just giving something that has been given to me,\" Adrien said, referring to his native language. \n\nHis class isn't made up of the typical credit-craving college co-ed. That's mainly because the vast majority of students have long since finished college. The class is free of charge and open to everyone. \n\nThe roster of students includes local doctors, nurses, physical therapists, social workers, lawyers and ministers. \n\nAll of them have either been to Haiti or are planning volunteer trips soon. \n\n\"They appreciate when you try,\" said Donna Richtsmeier, a retired nurse who travels to Haiti to volunteer. \"I just want to learn a few phrases so I can greet them and ask how they are.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42123\": \"What happened in Haiti?\"\n },\n {\n \"42124\": \"Where inn Haiti?\"\n },\n {\n \"42125\": \"Who's brother lives there?\"\n },\n {\n \"42126\": \"What was his first thought when he heard of the earthquake?\"\n },\n {\n \"42127\": \"What did he come to realize after talking with his brother?\"\n },\n {\n \"42128\": \"Which skill did he decide to give?\"\n },\n {\n \"42129\": \"What is his profession?\"\n },\n {\n \"42130\": \"Where does he work?\"\n },\n {\n \"42131\": \"Is the class he teaches in Haiti expensive?\"\n },\n {\n \"42132\": \"How much does it cost?\"\n },\n {\n \"42133\": \"Who is Donna Richtsmeier?\"\n },\n {\n \"42134\": \"does she help in Haiti?\"\n },\n {\n \"42135\": \"Where is Hamline U?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42123\",\n \"answer\": \"an earthquake .\"\n },\n {\n \"question_id\": \"42124\",\n \"answer\": \"Port-au-Prince\"\n },\n {\n \"question_id\": \"42125\",\n \"answer\": \"Max Adrien\"\n },\n {\n \"question_id\": \"42126\",\n \"answer\": \"to help his home country.\"\n },\n {\n \"question_id\": \"42127\",\n \"answer\": \"that he would need a skill\"\n },\n {\n \"question_id\": \"42128\",\n \"answer\": \"teaching\"\n },\n {\n \"question_id\": \"42129\",\n \"answer\": \"professor\"\n },\n {\n \"question_id\": \"42130\",\n \"answer\": \"Hamline University\"\n },\n {\n \"question_id\": \"42131\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"42132\",\n \"answer\": \"it's free\"\n },\n {\n \"question_id\": \"42133\",\n \"answer\": \"a retired nurse\"\n },\n {\n \"question_id\": \"42134\",\n \"answer\": \"she volunteers\"\n },\n {\n \"question_id\": \"42135\",\n \"answer\": \"St. Paul\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Private schools, also known as independent schools, non-governmental, or nonstate schools, are not administered by local, state or national governments; thus, they retain the right to select their students and are funded in whole or in part by charging their students tuition, rather than relying on mandatory taxation through public (government) funding; at some private schools students may be able to get a scholarship, which makes the cost cheaper, depending on a talent the student may have (e.g. sport scholarship, art scholarship, academic scholarship), financial need, or tax credit scholarships that might be available. \n\nIn the United Kingdom and several other Commonwealth countries including Australia and Canada, the use of the term is generally restricted to primary and secondary educational levels; it is almost never used of universities and other tertiary institutions. Private education in North America covers the whole gamut of educational activity, ranging from pre-school to tertiary level institutions. Annual tuition fees at K-12 schools range from nothing at so called 'tuition-free' schools to more than $45,000 at several New England preparatory schools.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38988\": \"Why do private school asked for money from their students ?\"\n },\n {\n \"38989\": \"How some of the students pay for the school ?\"\n },\n {\n \"38990\": \"How do they receive scholarships ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38988\",\n \"answer\": \"because they do not take money from the government\"\n },\n {\n \"question_id\": \"38989\",\n \"answer\": \"scholarships\"\n },\n {\n \"question_id\": \"38990\",\n \"answer\": \"sport scholarship, art scholarship, academic scholarship, financial need, or tax credit scholarships\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Existentialism () is the work associated mainly with certain late-19th- and 20th-century European philosophers who, despite profound doctrinal differences, shared the belief that philosophical thinking begins with the human subject—not merely the thinking subject, but the acting, feeling, living human individual. While the predominant value of existentialist thought is commonly acknowledged to be freedom, its primary virtue is authenticity. In the view of the existentialist, the individual's starting point is characterized by what has been called \"the existential attitude\", or a sense of disorientation, confusion, or dread in the face of an apparently meaningless or absurd world. Many existentialists have also regarded traditional systematic or academic philosophies, in both style and content, as too abstract and remote from concrete human experience. \n\nSøren Kierkegaard is generally considered to have been the first existentialist philosopher, though he did not use the term existentialism. He proposed that each individual—not society or religion—is solely responsible for giving meaning to life and living it passionately and sincerely, or \"authentically\". Existentialism became popular in the years following World War II, and strongly influenced many disciplines besides philosophy, including theology, drama, art, literature, and psychology. \n\nThe term is often seen as a historical convenience as it was first applied to many philosophers in hindsight, long after they had died. In fact, while existentialism is generally considered to have originated with Kierkegaard, the first prominent existentialist philosopher to adopt the term as a self-description was Jean-Paul Sartre. Sartre posits the idea that \"what all existentialists have in common is the fundamental doctrine that existence precedes essence\", as scholar Frederick Copleston explains. According to philosopher Steven Crowell, defining existentialism has been relatively difficult, and he argues that it is better understood as a general approach used to reject certain systematic philosophies rather than as a systematic philosophy itself. Sartre himself, in a lecture delivered in 1945, described existentialism as \"the attempt to draw all the consequences from a position of consistent atheism\".\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33327\": \"Who is thought to be the first philosopher to be an existentialist?\"\n },\n {\n \"33328\": \"Did he call his way of thinking existentialism?\"\n },\n {\n \"33329\": \"Who did he say is responsible for having meaning in one's life?\"\n },\n {\n \"33330\": \"Instead of what?\"\n },\n {\n \"33331\": \"Did this way of thought become popular after the second World War?\"\n },\n {\n \"33332\": \"What are some other disciplines that existentialism influenced?\"\n },\n {\n \"33333\": \"Where do these philosophers believe that thinking begins?\"\n },\n {\n \"33334\": \"Instead of?\"\n },\n {\n \"33335\": \"Is authenticity the main value of this type of thinking?\"\n },\n {\n \"33336\": \"What is the main value then?\"\n },\n {\n \"33337\": \"And what is authenticity?\"\n },\n {\n \"33338\": \"What type of world does an existentialist think we live in?\"\n },\n {\n \"33339\": \"What is the beginning point of an individual called?\"\n },\n {\n \"33340\": \"Is that a feeling of happiness and order?\"\n },\n {\n \"33341\": \"What then?\"\n },\n {\n \"33342\": \"What do people who hold these beliefs think about academic philosophies?\"\n },\n {\n \"33343\": \"Were those who thought this way called existentialists at the time?\"\n },\n {\n \"33344\": \"Who was the first one to call himself by this term?\"\n },\n {\n \"33345\": \"Does Steven Crowell believe that it is easy to define existentialism?\"\n },\n {\n \"33346\": \"When did Sartre lecture about this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33327\",\n \"answer\": \"S\\u00f8ren Kierkegaard\"\n },\n {\n \"question_id\": \"33328\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33329\",\n \"answer\": \"each individual\"\n },\n {\n \"question_id\": \"33330\",\n \"answer\": \"society or religion\"\n },\n {\n \"question_id\": \"33331\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33332\",\n \"answer\": \"theology, drama, art, literature, and psychology.\"\n },\n {\n \"question_id\": \"33333\",\n \"answer\": \"with the human subject\"\n },\n {\n \"question_id\": \"33334\",\n \"answer\": \"the thinking subject\"\n },\n {\n \"question_id\": \"33335\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33336\",\n \"answer\": \"freedom\"\n },\n {\n \"question_id\": \"33337\",\n \"answer\": \"its primary virtue\"\n },\n {\n \"question_id\": \"33338\",\n \"answer\": \"meaningless or absurd\"\n },\n {\n \"question_id\": \"33339\",\n \"answer\": \"the existential attitude\"\n },\n {\n \"question_id\": \"33340\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33341\",\n \"answer\": \"disorientation, confusion, or dread\"\n },\n {\n \"question_id\": \"33342\",\n \"answer\": \"too abstract and remote from concrete human experience.\"\n },\n {\n \"question_id\": \"33343\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33344\",\n \"answer\": \"Jean-Paul Sartre\"\n },\n {\n \"question_id\": \"33345\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33346\",\n \"answer\": \"1945\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Rutgers quarterback Philip Nelson has been dismissed from the football team, the school's coach said Tuesday. \n\nNelson had been arrested Sunday and charged in connection with an assault that apparently left Isaac Kolstad -- a former linebacker for Minnesota State University, Mankato -- in critical condition. \n\n\"The Rutgers football family's thoughts and prayers are with Isaac Kolstad and his family,\" football coach Kyle Flood said, referring to the young man whom Nelson is accused of assaulting. \n\nNelson, 20, faces one count of first-degree assault and one count of third-degree assault. \n\nAuthorities in Minnesota also arrested a second person in connection with the assault, a Mankato, Minnesota, city spokeswoman said. \n\nTrevor Stenner Shelley, 21, was arrested Monday afternoon. He is charged with first- and third-degree assault. \n\nOfficers found Kolstad, who graduated in December, near a downtown intersection. He was transported by ambulance to a local hospital. \n\nKolstad, 24, was in critical condition after suffering a severe head injury, his family said. \n\nNelson was a recent transfer to Rutgers. A native of Mankato, Minnesota, he played at the University of Minnesota, according to Rutgers' website. Nelson never played a down for Rutgers before his dismissal. \n\nCNN's Mariano Castillo and Dana Ford contributed to this report. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"555\": \"Who has been dismissed from the football team?\"\n },\n {\n \"556\": \"What was he accused of?\"\n },\n {\n \"557\": \"Who was the victim?\"\n },\n {\n \"558\": \"How old?\"\n },\n {\n \"559\": \"What did he suffer?\"\n },\n {\n \"560\": \"Is he in a critical condition?\"\n },\n {\n \"561\": \"has another suspect been arrested too?\"\n },\n {\n \"562\": \"What's the name?\"\n },\n {\n \"563\": \"How old?\"\n },\n {\n \"564\": \"What University did Nelson play?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"555\",\n \"answer\": \"Philip Nelson\"\n },\n {\n \"question_id\": \"556\",\n \"answer\": \"assault\"\n },\n {\n \"question_id\": \"557\",\n \"answer\": \"Isaac Kolstad\"\n },\n {\n \"question_id\": \"558\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"559\",\n \"answer\": \"severe head injury\"\n },\n {\n \"question_id\": \"560\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"561\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"562\",\n \"answer\": \"Trevor Stenner Shelley\"\n },\n {\n \"question_id\": \"563\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"564\",\n \"answer\": \"Rutgers\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Five suspected pirates went on trial Tuesday in the Netherlands in what is thought to be the first trial in Europe of pirate suspects. \n\nThe trial of the five Somali men opened in Rotterdam District Court and is expected to last five days, said Wim de Bruin, a spokesman for Netherlands National Prosecutor's Office. \n\nThe five were captured by the Dutch Navy in January 2009 in the Gulf of Aden, off Somalia, after a cargo ship with Dutch Antilles flag was attacked, de Bruin said. \n\n\"The ship of the pirates was destroyed by the Danish Navy, and the pirates were captured and handed to the Dutch authority. They're being tried for sea robbery, and if convicted the maximum sentence will be 9 to 12 years,\" he said. \n\nThe men are Ahmed Yusuf Farah, 25, Jama Mohamed Samatar, 45, Abdirisaq Abdulahi Hirsi, 33, Sayid Ali Garaar, 39, and Osman Musse Farah, 32, he said. \n\nA different suspected Somali pirate is awaiting sentencing in the United States, where he pleaded guilty earlier this month to hijacking and kidnapping. \n\nProsecutors say Abduwali Abdukhadir Muse led an attack on a U.S.-flagged vessel, the Maersk Alabama, off the coast of Africa last year. \n\nHe pleaded guilty May 19 in a New York federal court to felony counts of hijacking maritime vessels, kidnapping and hostage taking, for his role in the hijacking of the Maersk Alabama in the Indian Ocean on April 8, 2009. \n\nMuse faces a maximum sentence of almost 34 years behind bars when he is sentenced October 19. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41929\": \"When did he enter a guilty plea?\"\n },\n {\n \"41930\": \"What were the charges?\"\n },\n {\n \"41931\": \"On what date were the crimes?\"\n },\n {\n \"41932\": \"What ship?\"\n },\n {\n \"41933\": \"Where?\"\n },\n {\n \"41934\": \"When is sentencing?\"\n },\n {\n \"41935\": \"How much time is he facing?\"\n },\n {\n \"41936\": \"Who demolished the ship?\"\n },\n {\n \"41937\": \"When?\"\n },\n {\n \"41938\": \"Where?\"\n },\n {\n \"41939\": \"What type of boat was it?\"\n },\n {\n \"41940\": \"How many were arrested?\"\n },\n {\n \"41941\": \"Where did criminal proceedings occur?\"\n },\n {\n \"41942\": \"How many times have piracy suspects been judged in Europe?\"\n },\n {\n \"41943\": \"Who is accused of pirating the American boat?\"\n },\n {\n \"41944\": \"Who were the Danish attackers?\"\n },\n {\n \"41945\": \"Which was the youngest?\"\n },\n {\n \"41946\": \"Who is the oldest?\"\n },\n {\n \"41947\": \"Who is the spokesperson?\"\n },\n {\n \"41948\": \"How long are the proceedings supposed to last?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41929\",\n \"answer\": \"May 19\"\n },\n {\n \"question_id\": \"41930\",\n \"answer\": \"felony counts of hijacking maritime vessels, kidnapping and hostage taking\"\n },\n {\n \"question_id\": \"41931\",\n \"answer\": \"April 8, 2009\"\n },\n {\n \"question_id\": \"41932\",\n \"answer\": \"the Maersk Alabama\"\n },\n {\n \"question_id\": \"41933\",\n \"answer\": \"the Indian Ocean\"\n },\n {\n \"question_id\": \"41934\",\n \"answer\": \"October 19\"\n },\n {\n \"question_id\": \"41935\",\n \"answer\": \"a maximum sentence of almost 34 years behind bars\"\n },\n {\n \"question_id\": \"41936\",\n \"answer\": \"the Danish Navy\"\n },\n {\n \"question_id\": \"41937\",\n \"answer\": \"January 2009\"\n },\n {\n \"question_id\": \"41938\",\n \"answer\": \"the Gulf of Aden, off Somalia\"\n },\n {\n \"question_id\": \"41939\",\n \"answer\": \"a cargo ship with Dutch Antilles flag was attacked\"\n },\n {\n \"question_id\": \"41940\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"41941\",\n \"answer\": \"Rotterdam District Court\"\n },\n {\n \"question_id\": \"41942\",\n \"answer\": \"Once\"\n },\n {\n \"question_id\": \"41943\",\n \"answer\": \"Abduwali Abdukhadir Muse\"\n },\n {\n \"question_id\": \"41944\",\n \"answer\": \"Ahmed Yusuf Farah, 25, Jama Mohamed Samatar, 45, Abdirisaq Abdulahi Hirsi, 33, Sayid Ali Garaar, 39, and Osman Musse Farah, 32\"\n },\n {\n \"question_id\": \"41945\",\n \"answer\": \"Ahmed Yusuf Farah\"\n },\n {\n \"question_id\": \"41946\",\n \"answer\": \"Jama Mohamed Samatar\"\n },\n {\n \"question_id\": \"41947\",\n \"answer\": \"Wim de Bruin\"\n },\n {\n \"question_id\": \"41948\",\n \"answer\": \"five days\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n On paper, the race in Kentucky between Sen. Mitch McConnell and his Democratic challenger, Alison Lundergan Grimes, should be pretty clear-cut: The experienced veteran easily beats a political novice. But like most things, it's not. \n\nMcConnell must cross the first hurdle by beating his primary challenger, Matt Bevin, before he engages in what is expected to be one of the most expensive and bitterly fought Senate campaigns this midterm season. \n\nA lot is at stake overall in November: control of the Senate and the political fate of one of the most powerful Republicans in Washington. \n\nGrimes' advantage \n\nGrimes, 35, was just 7 when McConnell was first elected to the Senate. \n\nMitch McConnell would face biggest challenge yet in Alison Grimes \n\nWhile he rose up the ranks in Washington and became Senate Republican leader, Grimes practiced law and won statewide office as secretary of state in 2011. \n\nDespite her short political career, like McConnell, her name carries weight -- for better or worse. \n\nGrimes' family has a long history in state Democratic politics. Her father, Jerry, was the former chairman of the Kentucky Democratic Party and a state legislator. But he was forced out of those roles over legal problems facing his catering company. \n\nWhile the family name has been battered, its connections survive: She'll have access to the deep pockets and support of her father's allies, including Bill and Hillary Clinton. \n\nThe former President has already hit the trail for Grimes, raising more than $600,000 at one Louisville event in February. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17910\": \"Who is in a race?\"\n },\n {\n \"17911\": \"For what?\"\n },\n {\n \"17912\": \"When is the election?\"\n },\n {\n \"17913\": \"Who has a challenge ahead?\"\n },\n {\n \"17914\": \"What is it?\"\n },\n {\n \"17915\": \"Who is that?\"\n },\n {\n \"17916\": \"At what?\"\n },\n {\n \"17917\": \"How old is grimes?\"\n },\n {\n \"17918\": \"Did something happen when she was young?\"\n },\n {\n \"17919\": \"To what?\"\n },\n {\n \"17920\": \"How old was she?\"\n },\n {\n \"17921\": \"Will she be easy to defeat?\"\n },\n {\n \"17922\": \"Who is her family friends with?\"\n },\n {\n \"17923\": \"How does that help?\"\n },\n {\n \"17924\": \"Are they willing to do that?\"\n },\n {\n \"17925\": \"How?\"\n },\n {\n \"17926\": \"Who do the Clinton's know in her family?\"\n },\n {\n \"17927\": \"What is his name?\"\n },\n {\n \"17928\": \"Did the president raise any money?\"\n },\n {\n \"17929\": \"Where at?\"\n },\n {\n \"17930\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17910\",\n \"answer\": \"Sen. Mitch McConnell and Alison Lundergan Grimes,\"\n },\n {\n \"question_id\": \"17911\",\n \"answer\": \"Senate.\"\n },\n {\n \"question_id\": \"17912\",\n \"answer\": \"November\"\n },\n {\n \"question_id\": \"17913\",\n \"answer\": \"McConnell\"\n },\n {\n \"question_id\": \"17914\",\n \"answer\": \"Beating his challenger.\"\n },\n {\n \"question_id\": \"17915\",\n \"answer\": \"Matt Bevin,\"\n },\n {\n \"question_id\": \"17916\",\n \"answer\": \"The primary.\"\n },\n {\n \"question_id\": \"17917\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"17918\",\n \"answer\": \"mcConnell was elected.\"\n },\n {\n \"question_id\": \"17919\",\n \"answer\": \"The senate.\"\n },\n {\n \"question_id\": \"17920\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"17921\",\n \"answer\": \"No, his biggest challenge.\"\n },\n {\n \"question_id\": \"17922\",\n \"answer\": \"Bill and Hillary Clinton.\"\n },\n {\n \"question_id\": \"17923\",\n \"answer\": \"Access to the deep pockets and support .\"\n },\n {\n \"question_id\": \"17924\",\n \"answer\": \"The former president already has.\"\n },\n {\n \"question_id\": \"17925\",\n \"answer\": \"he hit the trail for Grimes,\"\n },\n {\n \"question_id\": \"17926\",\n \"answer\": \"her father.\"\n },\n {\n \"question_id\": \"17927\",\n \"answer\": \"Jerry,\"\n },\n {\n \"question_id\": \"17928\",\n \"answer\": \"More than $600,000\"\n },\n {\n \"question_id\": \"17929\",\n \"answer\": \"Louisville\"\n },\n {\n \"question_id\": \"17930\",\n \"answer\": \"February.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When Sophie woke up that morning, she had no idea where her day was going to take her. She rolled out of bed, turned off her alarm and stretched. She wasn't feeling like herself that morning, but she wasn't sure why. Sophie thought to herself, \"I slept well, I ate good food yesterday, and yet I still felt strange\". Sophie stepped into the shower feeling so tired. As she toweled herself off and got dressed, she felt like she was moving very slowly. She went to the kitchen and poured herself a glass of orange juice, got a bowl out of the cabinet and filled it with cereal. As Sophie sat at the table to eat her breakfast, she remembered why she wasn't feeling like herself. She remembered that she didn't exercise the day before. She had spent much of the day sitting in front of her television and playing games. Sophie knew that on days that she didn't exercise, she always felt bad the next day. Sophie thought for a second, and then looked at the clock. She had time to do some jumping jacks and run outside around her house before she had to leave for the day. She put on her running shoes and went out the front door. After only a quick bit of exercise, Sophie was feeling much better. She promised herself that she would never forget to exercise again.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93874\": \"Who is waking up?\"\n },\n {\n \"93875\": \"How was she feeling today?\"\n },\n {\n \"93876\": \"Did she know right away why?\"\n },\n {\n \"93877\": \"What was the first thing she did that morning?\"\n },\n {\n \"93878\": \"What woke her up that morning?\"\n },\n {\n \"93879\": \"What did she do after turning the alarm off?\"\n },\n {\n \"93880\": \"What did she do next?\"\n },\n {\n \"93881\": \"Was she energetic?\"\n },\n {\n \"93882\": \"What did she do after her shower?\"\n },\n {\n \"93883\": \"What room did she enter after that?\"\n },\n {\n \"93884\": \"Why did she go there?\"\n },\n {\n \"93885\": \"What did she eat?\"\n },\n {\n \"93886\": \"Did she have any liquid with that?\"\n },\n {\n \"93887\": \"What was it?\"\n },\n {\n \"93888\": \"Where did she eat?\"\n },\n {\n \"93889\": \"What happened to her when she was sitting at the table?\"\n },\n {\n \"93890\": \"What is the most important thing she forgot to do?\"\n },\n {\n \"93891\": \"What was one thing she did instead?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93874\",\n \"answer\": \"Sophie\"\n },\n {\n \"question_id\": \"93875\",\n \"answer\": \"Tired.\"\n },\n {\n \"question_id\": \"93876\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93877\",\n \"answer\": \"She rolled out of bed.\"\n },\n {\n \"question_id\": \"93878\",\n \"answer\": \"Her alarm\"\n },\n {\n \"question_id\": \"93879\",\n \"answer\": \"Stretched.\"\n },\n {\n \"question_id\": \"93880\",\n \"answer\": \"Showered.\"\n },\n {\n \"question_id\": \"93881\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93882\",\n \"answer\": \"Got dressed.\"\n },\n {\n \"question_id\": \"93883\",\n \"answer\": \"Kitchen\"\n },\n {\n \"question_id\": \"93884\",\n \"answer\": \"To eat breakfast.\"\n },\n {\n \"question_id\": \"93885\",\n \"answer\": \"Cereal\"\n },\n {\n \"question_id\": \"93886\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93887\",\n \"answer\": \"Orange juice\"\n },\n {\n \"question_id\": \"93888\",\n \"answer\": \"Cereal\"\n },\n {\n \"question_id\": \"93889\",\n \"answer\": \"She remembered why she wasn't feeling like herself\"\n },\n {\n \"question_id\": \"93890\",\n \"answer\": \"Exercise.\"\n },\n {\n \"question_id\": \"93891\",\n \"answer\": \"Sat in front of the television.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Alfred Nobel, the great Swedish inventor and industrialist, was born in Stockholm on October 21, 1833, but moved to Russia with his parents in 1842, where his father, Immanuel, made a strong position for himself in the engineering industry. \n\nImmanuel Nobel invented landmine and made a lot of money from the government during the Crimean War, but went bankrupt soon after. Then, the family returned to Sweden in 1859, where Alfred began his own study of explosives in his father's lab. He had never been to school or university but had taught himself, and by the time he was twenty, he became a skillful chemist and excellent linguist, speaking Swedish, Russian, German, French and English. He built up over 80 companies in 20 different countries. \n\nHe was always searching for a meaning to life. He spent much time and money working on how to end the wars, and the peace between nations, until his death in Italy in 1896. His famous last will, in which he left money to provide prizes for outstanding work in physics, chemistry, physiology, medicine, literature and peace, is a memorial to his interests and ideas. And so, the man is remembered and respected long after his death.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97664\": \"When did Alfred Nobel die?\"\n },\n {\n \"97665\": \"Who was his father?\"\n },\n {\n \"97666\": \"What did he invent?\"\n },\n {\n \"97667\": \"Where was Alfred birthed?\"\n },\n {\n \"97668\": \"In what year?\"\n },\n {\n \"97669\": \"Where did his family move?\"\n },\n {\n \"97670\": \"When did that happen?\"\n },\n {\n \"97671\": \"What kind of profession did his dad do?\"\n },\n {\n \"97672\": \"Did his father make a good amount of money?\"\n },\n {\n \"97673\": \"Did he lose it at some point?\"\n },\n {\n \"97674\": \"When did they go back to their home country?\"\n },\n {\n \"97675\": \"What profession was Nobel the son?\"\n },\n {\n \"97676\": \"What did he work on?\"\n },\n {\n \"97677\": \"Did he have a high education experience?\"\n },\n {\n \"97678\": \"What languages could he speak?\"\n },\n {\n \"97679\": \"How many companies did he build?\"\n },\n {\n \"97680\": \"Where these companies in multiple cities?\"\n },\n {\n \"97681\": \"In how many countries?\"\n },\n {\n \"97682\": \"Was finding the purpose of life important to him?\"\n },\n {\n \"97683\": \"Where did he die?\"\n },\n {\n \"97684\": \"What does his will fund?\"\n },\n {\n \"97685\": \"Will he be remembered?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97664\",\n \"answer\": \"1896\"\n },\n {\n \"question_id\": \"97665\",\n \"answer\": \"Immanuel Nobel\"\n },\n {\n \"question_id\": \"97666\",\n \"answer\": \"landmine\"\n },\n {\n \"question_id\": \"97667\",\n \"answer\": \"Stockholm\"\n },\n {\n \"question_id\": \"97668\",\n \"answer\": \"1833\"\n },\n {\n \"question_id\": \"97669\",\n \"answer\": \"Russia\"\n },\n {\n \"question_id\": \"97670\",\n \"answer\": \"in 1842\"\n },\n {\n \"question_id\": \"97671\",\n \"answer\": \"engineering\"\n },\n {\n \"question_id\": \"97672\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97673\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97674\",\n \"answer\": \"1859\"\n },\n {\n \"question_id\": \"97675\",\n \"answer\": \"an inventor\"\n },\n {\n \"question_id\": \"97676\",\n \"answer\": \"explosives\"\n },\n {\n \"question_id\": \"97677\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97678\",\n \"answer\": \"Swedish, Russian, German, French and English\"\n },\n {\n \"question_id\": \"97679\",\n \"answer\": \"80\"\n },\n {\n \"question_id\": \"97680\",\n \"answer\": \"20 different\"\n },\n {\n \"question_id\": \"97681\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"97682\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97683\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"97684\",\n \"answer\": \"physics, chemistry, physiology, medicine, literature and peace\"\n },\n {\n \"question_id\": \"97685\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Walter owns three Italian restaurants which are running very well in Rhode Island in America. Every day his restaurants welcome crowds of customers all over the world. He studied to be a cook, but he sees now that his success is the result of a lifetime education. When he opened his first restaurant, all of a sudden his schooling knowledge , the history of his family and his ethics of his father _ . It made him a person who studied and explored the secrets in the food business. Walter's learning never stops. He says \" The food business is one where you need to stay on top. Cooks should be trained. You have to keep on studying or you will be left behind.\" So he spent more time in reading. Every time he gets new ideas from the book, he brings them into his work. Walter also has a clear understanding about success. That is he would like to be remembered as a person who is creative, who believes in the Italian cooking culture in America. Food is like a bridge connecting to the past, to the family and to the country. He says \"Success to me is not how much money I make, but if at the end of the day I am able to make fifteen or twenty customers happy, I'm a happy man.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3589\": \"Who owns three restaurants?\"\n },\n {\n \"3590\": \"What kind?\"\n },\n {\n \"3591\": \"In which state?\"\n },\n {\n \"3592\": \"How are they doing?\"\n },\n {\n \"3593\": \"What did he study to be?\"\n },\n {\n \"3594\": \"Does his learning ever quit?\"\n },\n {\n \"3595\": \"Did he explore secrets?\"\n },\n {\n \"3596\": \"In the Casino business?\"\n },\n {\n \"3597\": \"Does he think chefs should go to school?\"\n },\n {\n \"3598\": \"Did he spend less time on books?\"\n },\n {\n \"3599\": \"Does he hope to be seen as creative?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3589\",\n \"answer\": \"Walter\"\n },\n {\n \"question_id\": \"3590\",\n \"answer\": \"Italian restaurants\"\n },\n {\n \"question_id\": \"3591\",\n \"answer\": \"Rhode Island in America\"\n },\n {\n \"question_id\": \"3592\",\n \"answer\": \"fine\"\n },\n {\n \"question_id\": \"3593\",\n \"answer\": \"food business\"\n },\n {\n \"question_id\": \"3594\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3595\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3596\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3597\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3598\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3599\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n WASHINGTON (CNN) -- The U.S. Senate was called to order for 11 seconds on Wednesday as the last political scuffle of the year between the White House and the Democratic-led Congress played out. \n\nDemocratic senators will hold short \"pro forma\" sessions over the holiday break to prevent recess appointments. \n\nNearly all the senators left the Capitol for the Christmas holiday last week, but Democrats are keeping the Senate in session to block President Bush from making any recess appointments -- a constitutional mechanism that allows the president, during congressional recesses, to fill top government posts for up to one year without Senate confirmation. \n\nSen. Jim Webb, D-Virginia, opened and then immediately gaveled the Senate session to a close. He spent 57 seconds in the chamber. \n\nSenate Majority Leader Harry Reid, D-Nevada, announced December 19 that he would keep the Senate open with a series of \"pro forma\" sessions through mid-January. \n\nTalks had just broken down with the White House on a deal that would have allowed the president to make dozens of those appointments if he agreed not to appoint one controversial official, Steven Bradbury, as the permanent head of the influential Office of Legal Counsel at the Justice Department. \n\nBush declined to accept the Democrats' offer, and Reid refused to approve Bradbury because of concerns about his involvement in crafting legal opinions for the administration on interrogation techniques of terrorism suspects. \n\nSimilar sessions were conducted over the Thanksgiving recess. \n\nWebb also did the duty Friday, but he won't be the only senator tasked with presiding over the shortened sessions. Other Democrats -- including Sens. Edward Kennedy of Massachusetts, Byron Dorgan of North Dakota, Jack Reed of Rhode Island, Mary Landrieu of Louisiana, Ben Cardin of Maryland and Chuck Schumer of New York -- will share the duty. E-mail to a friend \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3709\": \"why are democrats keeping the Seante in session?\"\n },\n {\n \"3710\": \"what are they?\"\n },\n {\n \"3711\": \"to do what?\"\n },\n {\n \"3712\": \"who did Reid refuse to approve?\"\n },\n {\n \"3713\": \"what job did Bush want him to have?\"\n },\n {\n \"3714\": \"how many senators were planning to help Webb?\"\n },\n {\n \"3715\": \"which state does Webb represent\"\n },\n {\n \"3716\": \"how long was his session?\"\n },\n {\n \"3717\": \"what are these sessions called?\"\n },\n {\n \"3718\": \"what job does Reid have?\"\n },\n {\n \"3719\": \"where is he based?\"\n },\n {\n \"3720\": \"what holiday were they breaking for?\"\n },\n {\n \"3721\": \"were all senators still in the Capitol?\"\n },\n {\n \"3722\": \"when did Reid announce the sessions?\"\n },\n {\n \"3723\": \"until when?\"\n },\n {\n \"3724\": \"Webb had taken the wednesday session, what other one was he planning?\"\n },\n {\n \"3725\": \"which New York Senator was going to help?\"\n },\n {\n \"3726\": \"Where is Mary Landrieu from?\"\n },\n {\n \"3727\": \"what did the democrats want Bush to do?\"\n },\n {\n \"3728\": \"did Bush agree?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3709\",\n \"answer\": \"to block President Bush from making any recess appointments\"\n },\n {\n \"question_id\": \"3710\",\n \"answer\": \"a constitutional mechanism\"\n },\n {\n \"question_id\": \"3711\",\n \"answer\": \"that allows the president, during congressional recesses, to fill top government posts\"\n },\n {\n \"question_id\": \"3712\",\n \"answer\": \"Bradbury\"\n },\n {\n \"question_id\": \"3713\",\n \"answer\": \"permanent head of the influential Office of Legal Counsel at the Justice Department\"\n },\n {\n \"question_id\": \"3714\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"3715\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"3716\",\n \"answer\": \"57 seconds\"\n },\n {\n \"question_id\": \"3717\",\n \"answer\": \"pro forma\"\n },\n {\n \"question_id\": \"3718\",\n \"answer\": \"Senate Majority Leader\"\n },\n {\n \"question_id\": \"3719\",\n \"answer\": \"Nevada\"\n },\n {\n \"question_id\": \"3720\",\n \"answer\": \"Thanksgiving\"\n },\n {\n \"question_id\": \"3721\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3722\",\n \"answer\": \"December 19\"\n },\n {\n \"question_id\": \"3723\",\n \"answer\": \"through mid-January\"\n },\n {\n \"question_id\": \"3724\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"3725\",\n \"answer\": \"Chuck Schumer\"\n },\n {\n \"question_id\": \"3726\",\n \"answer\": \"Louisiana\"\n },\n {\n \"question_id\": \"3727\",\n \"answer\": \"not appoint one controversial official\"\n },\n {\n \"question_id\": \"3728\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The last few days before Christmas passed quickly and it was soon Christmas Eve. That night when everyone went to bed, Bunny couldn't sleep. He still couldn't think of what he wanted his special Christmas gift to be. He wondered how Santa Claus would know what to bring him if he didn't know himself. As he was sitting up in bed , Bunny heard a big noise on the roof and a sound downstairs. It was Santa Claus, he realized. Bunny jumped out of bed and raced down the hall to the stairs hoping to have a look at the old man with his own eyes. By the time Bunny reached the bottom of the stairs, though, everything was again silent .Beautiful gifts were piled under the Christmas tree, but Santa Claus was gone. He looked for him for a few minutes, but it was already too late. Bunny turned to climb back upstairs when he heard a cry. \"Hello,\" said Bunny. \"Is somebody there?\" He was answered by another cry. Bunny looked around the big pile of gifts to see what was making the noise. Right under the tree was a funny looking brown animal with big feet and sad eyes. Bunny might have mistaken it for a dog, if it hadn't been for the antlers on its head. \"Are you a reindeer?\" asked Bunny. \"Yes,\" replied the animal, \"my name is Ralph.\" \"And you were pulling Santa's sled ?\" \"I was until I got air-sick,\" replied Ralph,\" I'm afraid I wasn't _ the job. Now I'm stuck here and I don't know how to get back to the North Pole.\" \"Well, if you like, you can stay with us as a friend,\" said Bunny. As he made the offer, Bunny suddenly realized the gift he wanted from Santa Claus was a new friend!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48747\": \"What day is it?\"\n },\n {\n \"48748\": \"Who could not get to sleep?\"\n },\n {\n \"48749\": \"Did he believe in Santa?\"\n },\n {\n \"48750\": \"Did he know what present he desired?\"\n },\n {\n \"48751\": \"Was he lying in bed?\"\n },\n {\n \"48752\": \"What did he hear?\"\n },\n {\n \"48753\": \"Who was it?\"\n },\n {\n \"48754\": \"Did he stay in bed?\"\n },\n {\n \"48755\": \"Did he meet Santa?\"\n },\n {\n \"48756\": \"How long did Bunny look for Santa?\"\n },\n {\n \"48757\": \"Did he return to his bedroom?\"\n },\n {\n \"48758\": \"Why not?\"\n },\n {\n \"48759\": \"What was under the tree?\"\n },\n {\n \"48760\": \"What was he called?\"\n },\n {\n \"48761\": \"What was his job?\"\n },\n {\n \"48762\": \"Does he still do that?\"\n },\n {\n \"48763\": \"Why not?\"\n },\n {\n \"48764\": \"Did Santa abandon him?\"\n },\n {\n \"48765\": \"Where did he want to return?\"\n },\n {\n \"48766\": \"What did Bunny suggest?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48747\",\n \"answer\": \"Christmas Eve\"\n },\n {\n \"question_id\": \"48748\",\n \"answer\": \"Bunny\"\n },\n {\n \"question_id\": \"48749\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48750\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48751\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48752\",\n \"answer\": \"noises on the roof and downstairs\"\n },\n {\n \"question_id\": \"48753\",\n \"answer\": \"Santa Claus\"\n },\n {\n \"question_id\": \"48754\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48755\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48756\",\n \"answer\": \"a few minutes\"\n },\n {\n \"question_id\": \"48757\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48758\",\n \"answer\": \"he heard a cry\"\n },\n {\n \"question_id\": \"48759\",\n \"answer\": \"a reindeer\"\n },\n {\n \"question_id\": \"48760\",\n \"answer\": \"Ralph\"\n },\n {\n \"question_id\": \"48761\",\n \"answer\": \"pulling Santa's sled\"\n },\n {\n \"question_id\": \"48762\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48763\",\n \"answer\": \"he got air-sick\"\n },\n {\n \"question_id\": \"48764\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48765\",\n \"answer\": \"the North Pole\"\n },\n {\n \"question_id\": \"48766\",\n \"answer\": \"stay with him\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXXIX. THE PEDLAR'S PREDICTION \n\n\n\nBut if ne'er so close you wall him, Do the best that you may; Blind Love, if so you call him, Will find out his way. --OLD SONG \n\n'Too late,' muttered Berenger to himself, as he stood by the fire in his prison-chamber. Humfrey and Philip were busy in the vaults, and he was taking his turn in waiting in the sitting-room to disarm suspicion. 'It is too late now, and I thank God that so it is.' \n\n'Do you indeed, M. le Baron?' said a low voice close beside him; and, as he turned in haste, he beheld, at the foot of the turret-stair, the youth Aime de Selinville, holding a dark lantern in his hand, and veiling its light. \n\n'Ha!' and he started to his feet. 'Whence come you?' \n\n'From my Lady,' was the youth's answer. 'She has sent me to ask whether you persist in what you replied to her the other day. For if not, she bids me say that it is not too late.' \n\n'And if I do persevere?' \n\n'Then--ah! what do I know? Who can tell how far malice can go? And there are towers and bastilles where hope never enters. Moreover, your researches underground are known.' \n\n'Sir,' said Berenger, the heart-sinking quelled by the effort of resistance, 'Madame de Selinville has my answer--I must take the consequences. Tell her, if she truly wishes me well, the honourable way of saving us would be to let our English friends know what has befallen us.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98760\": \"Who was talking to himself?\"\n },\n {\n \"98761\": \"What was he standing near?\"\n },\n {\n \"98762\": \"Who was in the vaults?\"\n },\n {\n \"98763\": \"Where was Berenger?\"\n },\n {\n \"98764\": \"Who was at the bottom of the steps?\"\n },\n {\n \"98765\": \"What was he holding?\"\n },\n {\n \"98766\": \"Who sent him?\"\n },\n {\n \"98767\": \"What for?\"\n },\n {\n \"98768\": \"Does the messenger care about the response?\"\n },\n {\n \"98769\": \"Who is the response for?\"\n },\n {\n \"98770\": \"What would be the honorable thing for her to do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98760\",\n \"answer\": \"Berenger\"\n },\n {\n \"question_id\": \"98761\",\n \"answer\": \"the fire\"\n },\n {\n \"question_id\": \"98762\",\n \"answer\": \"Humfrey and Philip\"\n },\n {\n \"question_id\": \"98763\",\n \"answer\": \"in his prison-chamber\"\n },\n {\n \"question_id\": \"98764\",\n \"answer\": \"Aime de Selinville\"\n },\n {\n \"question_id\": \"98765\",\n \"answer\": \"a dark lantern\"\n },\n {\n \"question_id\": \"98766\",\n \"answer\": \"my Lady\"\n },\n {\n \"question_id\": \"98767\",\n \"answer\": \"o ask whether you persist\"\n },\n {\n \"question_id\": \"98768\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98769\",\n \"answer\": \"Madame de Selinville\"\n },\n {\n \"question_id\": \"98770\",\n \"answer\": \"let our English friends know what has befallen us\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Do you want to know something about children in Africa? What to they do for fun every day? Find out here: Education School is expensive for many African children. Lots of families can't afford school uniforms or exercise books even though they don't have to pay for school. For those lucky enough to go to school , they have a lot to learn. Some take two language classes: English or French, and their first language. There is also math, science, history, social studies and geography. _ take up much of children's time after school. They have to get water and firewood for the family every day. Also there's cleaning , washing and helping Mum with the meal. Daily fun It's not all work and no play. Sports are very popular. Children can make goals with twigs ( )and their own footballs with plastic and bits of string ( ). They play in the country and the streets of old towns. There're many football teams for teenagers in Africa. Internet It's really expensive to get on the Internet. To surf the net for 20 hours costs over 600yuan. This is more than the average monthly pay per person. Egypt and South Africa are the top two users of the Internet in Africa. All of the capital cities there can get on the Internet. Some schools offer computer lessons but few students can enjoy computer fun at home.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80197\": \"Is education cheap?\"\n },\n {\n \"80198\": \"does everyone get to go to school?\"\n },\n {\n \"80199\": \"are sports popular?\"\n },\n {\n \"80200\": \"how much does the internet cost for 20 hours?\"\n },\n {\n \"80201\": \"is that less than the monthly pay per person?\"\n },\n {\n \"80202\": \"who are the top two countries in africa?\"\n },\n {\n \"80203\": \"do they have football?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80197\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80198\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80199\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80200\",\n \"answer\": \"600yuan\"\n },\n {\n \"question_id\": \"80201\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80202\",\n \"answer\": \"Egypt and South Africa\"\n },\n {\n \"question_id\": \"80203\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER V. \n\nA NIGHT OF TERROR. \n\nAmos and Jim were early astir on Monday morning, the fifth of March, but before noon came both were convinced that the threatened trouble would blow over without the slightest semblance of a conflict between the soldiers and the citizens. \n\nDuring the forenoon they had not so much as heard of Hardy Baker, or that faction to which he had allied himself, and Jim said, with a quiet chuckle of satisfaction: \n\n\"I reckon the barber got as much of a lesson as he needed Saturday afternoon, and has given over trying to set right the wrongs of the people.\" \n\n\"He must be at work, or we should have heard something regarding him,\" Amos replied, and then ceased even to think of the apprentice. \n\nShortly after noon those assembled under the Liberty Tree,--and there were quite as many as had gathered on Friday and Saturday,--were told that the Council had discussed with Governor Hutchinson the question of removing the troops from the city, and assured him the people would be satisfied with nothing else. \n\nIt was also said the Governor had refused to do anything regarding the matter; but that Samuel Adams had publicly declared the troops should be sent away, and that without loss of time. \n\nAt about three o'clock in the afternoon, Amos and Jim heard once more from Master Piemont's assistant. \n\nIt was told under the Liberty Tree that he had been seen in company with Attucks, the mulatto, and half a dozen others, near Wentworth's Wharf, and that Hardy had distinguished himself by taunting with cowardice, a squad of soldiers, until the redcoats avenged the insults with blows; but nothing more serious than a street brawl was the result. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8920\": \"Which tree did people assemble under?\"\n },\n {\n \"8921\": \"What was the name of the Governor?\"\n },\n {\n \"8922\": \"Did the council discuss something with him?\"\n },\n {\n \"8923\": \"What?\"\n },\n {\n \"8924\": \"Did the council assure him of anything>\"\n },\n {\n \"8925\": \"What did the Governor do about it?\"\n },\n {\n \"8926\": \"Who was Attucks?\"\n },\n {\n \"8927\": \"Where was he seen?\"\n },\n {\n \"8928\": \"Who taunted soldiers?\"\n },\n {\n \"8929\": \"What didthe redcoats do about it?\"\n },\n {\n \"8930\": \"Was the result serious?\"\n },\n {\n \"8931\": \"What day of the week were Amos and Jim up early?\"\n },\n {\n \"8932\": \"What was the date?\"\n },\n {\n \"8933\": \"Did they expect conflict that day?\"\n },\n {\n \"8934\": \"What was Hardy's last name?\"\n },\n {\n \"8935\": \"When Jim mentions \\\"the barber\\\" who is he talking about?\"\n },\n {\n \"8936\": \"What's his name?\"\n },\n {\n \"8937\": \"Where does Amos think Hardy is?\"\n },\n {\n \"8938\": \"That was at noon. What time was it when they found out about Hardy?\"\n },\n {\n \"8939\": \"Who had Hardy been seen with besides Attucks?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"8920\",\n \"answer\": \"Liberty Tree\"\n },\n {\n \"question_id\": \"8921\",\n \"answer\": \"Governor Hutchinson\"\n },\n {\n \"question_id\": \"8922\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8923\",\n \"answer\": \"removing the troops\"\n },\n {\n \"question_id\": \"8924\",\n \"answer\": \"the people would be satisfied with nothing else\"\n },\n {\n \"question_id\": \"8925\",\n \"answer\": \"Nothing\"\n },\n {\n \"question_id\": \"8926\",\n \"answer\": \"the mulatto\"\n },\n {\n \"question_id\": \"8927\",\n \"answer\": \"near Wentworth's Wharf\"\n },\n {\n \"question_id\": \"8928\",\n \"answer\": \"Hardy\"\n },\n {\n \"question_id\": \"8929\",\n \"answer\": \"avenged the insults with blows\"\n },\n {\n \"question_id\": \"8930\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8931\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"8932\",\n \"answer\": \"the fifth of March\"\n },\n {\n \"question_id\": \"8933\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8934\",\n \"answer\": \"Baker\"\n },\n {\n \"question_id\": \"8935\",\n \"answer\": \"the apprentice\"\n },\n {\n \"question_id\": \"8936\",\n \"answer\": \"Hardy Baker\"\n },\n {\n \"question_id\": \"8937\",\n \"answer\": \"at work\"\n },\n {\n \"question_id\": \"8938\",\n \"answer\": \"about three o'clock\"\n },\n {\n \"question_id\": \"8939\",\n \"answer\": \"half a dozen others\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United Methodist Church (UMC) is a mainline Protestant Methodist denomination. In the 19th century its main predecessor was a leader in Evangelicalism. Founded in 1968 by the union of the Methodist Church (USA) and the Evangelical United Brethren Church, the UMC traces its roots back to the revival movement of John and Charles Wesley in England as well as the Great Awakening in the United States. As such, the church's theological orientation is decidedly Wesleyan. It embraces both liturgical and evangelical elements. \n\nThe United Methodist Church is the largest denomination within the wider Methodist movement, which has approximately 80 million adherents across the world. In the United States, the UMC ranks as the largest mainline Protestant denomination, the largest Protestant church after the Southern Baptist Convention, and the third largest Christian denomination. As of 2014, worldwide membership was about 12 million: 7.2 million in the United States, and 4.4 million in Africa, Asia and Europe. It is a member of the World Council of Churches, the World Methodist Council, and other religious associations. In 2015, Pew Research estimated that 3.6% of the U.S population, or 9 million adult adherents, self-identify with the United Methodist Church revealing a much larger number of adherents than registered membership.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90436\": \"How is the church's theology characterized?\"\n },\n {\n \"90437\": \"what church is being referenced?\"\n },\n {\n \"90438\": \"what is one place where it has its origins?\"\n },\n {\n \"90439\": \"who was responsible for it there?\"\n },\n {\n \"90440\": \"is it from anywhere else?\"\n },\n {\n \"90441\": \"where?\"\n },\n {\n \"90442\": \"is there a name for what happened there?\"\n },\n {\n \"90443\": \"what is it?\"\n },\n {\n \"90444\": \"what is the UMC part of that is bigger?\"\n },\n {\n \"90445\": \"how many people follow it approximately?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90436\",\n \"answer\": \"it's a bit liturgical and evangelical\"\n },\n {\n \"question_id\": \"90437\",\n \"answer\": \"The United Methodist Church\"\n },\n {\n \"question_id\": \"90438\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"90439\",\n \"answer\": \"John and Charles Wesley\"\n },\n {\n \"question_id\": \"90440\",\n \"answer\": \"y\"\n },\n {\n \"question_id\": \"90441\",\n \"answer\": \"the United States.\"\n },\n {\n \"question_id\": \"90442\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90443\",\n \"answer\": \"Great Awakening\"\n },\n {\n \"question_id\": \"90444\",\n \"answer\": \"the largest mainline Protestant denomination\"\n },\n {\n \"question_id\": \"90445\",\n \"answer\": \"80 million\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Jason Baldwin paused Saturday on his first morning of freedom in 18 years to share a revelation he gleaned in prison while serving a life sentence. \n\nThe \"West Memphis Three\" member recalled telling inmates he had figured out the secret of life. \n\n\"What is it?\" they asked. \n\n\"I said, 'Enjoy it. Enjoy it,'\" Baldwin told CNN Memphis affiliate WMC. \n\nAnd enjoy it he did Friday and Saturday. Baldwin, Damien Echols and Jessie Misskelley Jr. -- freed Friday in Arkansas after a complicated plea arrangement -- spent time with family, friends and supporters. \n\nEchols and Baldwin saw the sunset Friday from the rooftop of the Madison Hotel in Memphis, across the Mississippi River from West Memphis, Arkansas. Supporters Eddie Vedder of Pearl Jam and Natalie Maines of the Dixie Chicks joined the party. \n\nThe three men, who served 18 years in prison following their convictions in a 1993 triple-slaying in West Memphis, walked free Friday to cheers from a supportive crowd after entering rarely used pleas in which they maintained their innocence but acknowledged that prosecutors have evidence to convict them. \n\nThey had been imprisoned for the slayings of second-graders Steven Branch, Christopher Byers and Michael Moore. \n\nThe boys' bodies were mutilated and left in a ditch, hogtied with their own shoelaces. Prosecutors argued that the defendants, teenagers at the time, were driven by satanic ritual and that Echols, sentenced to death, had been the ringleader. Baldwin and Misskelley received life sentences. \n\nAttorney Stephen Braga, who represented Echols, said his newly freed client and Baldwin were fascinated by new foods, cell phones and other technology Friday. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60067\": \"How many kids were killed?\"\n },\n {\n \"60068\": \"Was someone put in jail for the killings?\"\n },\n {\n \"60069\": \"who?\"\n },\n {\n \"60070\": \"How long was Jason Baldwin in jail?\"\n },\n {\n \"60071\": \"Were they all there that long?\"\n },\n {\n \"60072\": \"When were they found guilty?\"\n },\n {\n \"60073\": \"Where did the murders happen?\"\n },\n {\n \"60074\": \"What grade were the murdered kids in?\"\n },\n {\n \"60075\": \"Where were the bodies found?\"\n },\n {\n \"60076\": \"Where the bodies in good shape?\"\n },\n {\n \"60077\": \"What was wrong with them?\"\n },\n {\n \"60078\": \"How were they tied?\"\n },\n {\n \"60079\": \"with what?\"\n },\n {\n \"60080\": \"whose?\"\n },\n {\n \"60081\": \"Who was the lawyer for Echols?\"\n },\n {\n \"60082\": \"How old were the people arrested\"\n },\n {\n \"60083\": \"Whose idea was it?\"\n },\n {\n \"60084\": \"What was his punishment?\"\n },\n {\n \"60085\": \"What did the other two get?\"\n },\n {\n \"60086\": \"Did they ever get out?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60067\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"60068\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60069\",\n \"answer\": \"Baldwin, Damien Echols and Jessie Misskelley\"\n },\n {\n \"question_id\": \"60070\",\n \"answer\": \"18 years\"\n },\n {\n \"question_id\": \"60071\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60072\",\n \"answer\": \"1993\"\n },\n {\n \"question_id\": \"60073\",\n \"answer\": \"West Memphis\"\n },\n {\n \"question_id\": \"60074\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"60075\",\n \"answer\": \"a ditch\"\n },\n {\n \"question_id\": \"60076\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60077\",\n \"answer\": \"they were mutilated\"\n },\n {\n \"question_id\": \"60078\",\n \"answer\": \"hogtied\"\n },\n {\n \"question_id\": \"60079\",\n \"answer\": \"shoelaces\"\n },\n {\n \"question_id\": \"60080\",\n \"answer\": \"theirs\"\n },\n {\n \"question_id\": \"60081\",\n \"answer\": \"Stephen Braga\"\n },\n {\n \"question_id\": \"60082\",\n \"answer\": \"teenagers\"\n },\n {\n \"question_id\": \"60083\",\n \"answer\": \"Echols\"\n },\n {\n \"question_id\": \"60084\",\n \"answer\": \"death\"\n },\n {\n \"question_id\": \"60085\",\n \"answer\": \"life\"\n },\n {\n \"question_id\": \"60086\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI \n\nTHE BLUNDERING OF ANDREW \n\nThey came face to face in the hall of the Grand Hotel. Duncombe had just returned from his call upon the Marquise. Andrew was leaning upon the arm of a dark, smooth-shaven man, and had apparently just descended from the lift. At the sound of Duncombe's little exclamation they both stopped short. Andrew turned his heavily spectacled eyes in Duncombe's direction, but it was obvious that he saw nothing. \n\n\"You here, Andrew!\" \n\n\"Yes! Why not?\" \n\nThe tone was curt, almost discourteous. Duncombe understood at once. \n\n\"Let us sit down somewhere, and talk for a few minutes,\" he said. \"I did not expect you. You should have let me know that you were coming.\" \n\nAndrew laughed a little bitterly. \n\n\"I scarcely see why,\" he said. \"To tell you the truth, I see no advantage to either of us in any intercourse.\" \n\nDuncombe took him by the arm and led him towards the smoking-room. \n\n\"Andrew,\" he said, \"perhaps I have behaved badly--at least from your point of view, but remember that I warned you. Let us sit down here. Who is your friend?\" \n\n\"Never mind,\" Andrew answered. \"You can say what you have to before him. He is in my confidence.\" \n\nDuncombe glanced around. The man had taken the chair next to them, and was evidently prepared to listen to all that was said. His clothes and bearing, and quiet, unobtrusive manners, all seemed to suggest truthfully enough his possible identity--an English detective from an advertised office. Duncombe smiled as he realized the almost pitiful inadequacy of such methods. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97031\": \"WHat did the man look like that Andrew was leaning on?\"\n },\n {\n \"97032\": \"where were they?\"\n },\n {\n \"97033\": \"Where did he come from?\"\n },\n {\n \"97034\": \"What did Duncombe ask?\"\n },\n {\n \"97035\": \"how did he respond?\"\n },\n {\n \"97036\": \"Were they friendly?\"\n },\n {\n \"97037\": \"how was the tone?\"\n },\n {\n \"97038\": \"and?\"\n },\n {\n \"97039\": \"Where did Duncombe take him to?\"\n },\n {\n \"97040\": \"How does Andrew believe he acted?\"\n },\n {\n \"97041\": \"who was Duncombe talking about?\"\n },\n {\n \"97042\": \"who was?\"\n },\n {\n \"97043\": \"from where?\"\n },\n {\n \"97044\": \"Did Andrew speak about him?\"\n },\n {\n \"97045\": \"why not?\"\n },\n {\n \"97046\": \"was the man there?\"\n },\n {\n \"97047\": \"where?\"\n },\n {\n \"97048\": \"far away?\"\n },\n {\n \"97049\": \"where?\"\n },\n {\n \"97050\": \"was he there to talk?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97031\",\n \"answer\": \"dark and smooth-shaven\"\n },\n {\n \"question_id\": \"97032\",\n \"answer\": \"Grand Hotel\"\n },\n {\n \"question_id\": \"97033\",\n \"answer\": \"the lift.\"\n },\n {\n \"question_id\": \"97034\",\n \"answer\": \"You here, Andrew\"\n },\n {\n \"question_id\": \"97035\",\n \"answer\": \"Yes! Why not?\"\n },\n {\n \"question_id\": \"97036\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97037\",\n \"answer\": \"curt\"\n },\n {\n \"question_id\": \"97038\",\n \"answer\": \"discourteous\"\n },\n {\n \"question_id\": \"97039\",\n \"answer\": \"the smoking-room.\"\n },\n {\n \"question_id\": \"97040\",\n \"answer\": \"badly\"\n },\n {\n \"question_id\": \"97041\",\n \"answer\": \"Andrew's friend\"\n },\n {\n \"question_id\": \"97042\",\n \"answer\": \"English detective\"\n },\n {\n \"question_id\": \"97043\",\n \"answer\": \"advertised office.\"\n },\n {\n \"question_id\": \"97044\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97045\",\n \"answer\": \"He was in his confidence.\\\"\"\n },\n {\n \"question_id\": \"97046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97047\",\n \"answer\": \"a chair\"\n },\n {\n \"question_id\": \"97048\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97049\",\n \"answer\": \"next to them\"\n },\n {\n \"question_id\": \"97050\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n My name is Lisa.I have a bird.She is white.So I call her Xiaobai.Xiaobai is only two years old.She's not big.But she is beautiful and clever.She can speak. One day I go shopping with my sister Gina and Xiaobai.At Green Clothes Store Gina sees a red skirt and says, \"Look! Lisa! That red skirt is very beautiful.\" Xiaobai answers her instead of me, \"No.I think you look nice in that green skirt.\" Gina says, \"OK.I listen to you.\" Then she asks the shop assistant, \"How much is the green one?\" The shop assistant looks at Xiaobai, opens her mouth but says nothing.At last she says to Gina, \"I never see a bird that can speak these words.It's great! You can take this green skirt.Oh, you don't need to pay for it.\" Gina is very happy.She asks me and my bird to have a big lunch in Leo's Restaurant and then we go home.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53546\": \"What is your bird's name?\"\n },\n {\n \"53547\": \"what color isshe?\"\n },\n {\n \"53548\": \"can she talk?\"\n },\n {\n \"53549\": \"do you take her outside with you?\"\n },\n {\n \"53550\": \"where did you take her?\"\n },\n {\n \"53551\": \"what did you buy that day?\"\n },\n {\n \"53552\": \"can you take your bird into stores?\"\n },\n {\n \"53553\": \"how about restaurants?\"\n },\n {\n \"53554\": \"did you go shopping alone?\"\n },\n {\n \"53555\": \"who did you go with?\"\n },\n {\n \"53556\": \"who is Gina?\"\n },\n {\n \"53557\": \"Did Gina have fun that day?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53546\",\n \"answer\": \"Xiaobai.\"\n },\n {\n \"question_id\": \"53547\",\n \"answer\": \"White.\"\n },\n {\n \"question_id\": \"53548\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53549\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53550\",\n \"answer\": \"Shopping\"\n },\n {\n \"question_id\": \"53551\",\n \"answer\": \"Nothing\"\n },\n {\n \"question_id\": \"53552\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53553\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53554\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"53555\",\n \"answer\": \"Gina and Xiaobai.\"\n },\n {\n \"question_id\": \"53556\",\n \"answer\": \"My sister\"\n },\n {\n \"question_id\": \"53557\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- South African pair Louis Oosthuizen and Charl Schwartzel put their Augusta disappointments behind them to impress in the opening round of the Malaysian Open Thursday. \n\nSchwartzel finished 18 shots off the pace in his defense of the U.S. Masters crown, handing over the Green Jacket to Bubba Watson, who beat Oosthuizen in a dramatic playoff Sunday. \n\nShrugging off jet lag after a 30-hour journey from Georgia to Kuala Lumpur, Schwartzel powered to an eight-under 64 to claim the first day lead. \n\nOosthuizen, so close to winning a second major title until denied by Watson's brilliance, produced an excellent 66 to be tied for third. \n\n\"Louis and I got off to a good fast start at the beginning and it is always nice when there are a couple of you in the group playing well and pulling each other a long a bit,\" Schwartzel told the official European Tour website. \n\n\"Louis is playing so well right that it is impressive to watch and helped me on,\" he added. \n\nOosthuizen conjured up six birdies and an eagle to continue the fine form he displayed in the first major of the season. \n\n\"It was a long haul getting here,\" he said. \n\n\"I think me and Charl knew the first round, concentration levels won't be great, but we did well. \n\n\"I knew the swing was still good. It was just adapting to the weather and the green speed, but I putted beautifully again today and hope to keep it going for the week.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75084\": \"Who played in the Malaysian Open?\"\n },\n {\n \"75085\": \"Who do they play for?\"\n },\n {\n \"75086\": \"How did they do?\"\n },\n {\n \"75087\": \"When did they play?\"\n },\n {\n \"75088\": \"Did one of them recently win the U.S. Masters?\"\n },\n {\n \"75089\": \"Who won Masters this year?\"\n },\n {\n \"75090\": \"Who beat Schwartzel to win the Masters this year?\"\n },\n {\n \"75091\": \"Did Schwartzel have a long flight?\"\n },\n {\n \"75092\": \"From where?\"\n },\n {\n \"75093\": \"How long was it?\"\n },\n {\n \"75094\": \"Did he get off to a good start at the Malaysian Open?\"\n },\n {\n \"75095\": \"Who said that?\"\n },\n {\n \"75096\": \"To who?\"\n },\n {\n \"75097\": \"What else did he say was impressive?\"\n },\n {\n \"75098\": \"How many birdies did Louis get?\"\n },\n {\n \"75099\": \"Did he get any eagles?\"\n },\n {\n \"75100\": \"How many?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"75084\",\n \"answer\": \"Louis Oosthuizen and Charl Schwartzel\"\n },\n {\n \"question_id\": \"75085\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"75086\",\n \"answer\": \"they impressed\"\n },\n {\n \"question_id\": \"75087\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"75088\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75089\",\n \"answer\": \"Charl Schwartzel\"\n },\n {\n \"question_id\": \"75090\",\n \"answer\": \"Bubba Watson\"\n },\n {\n \"question_id\": \"75091\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75092\",\n \"answer\": \"Georgia\"\n },\n {\n \"question_id\": \"75093\",\n \"answer\": \"30 hours\"\n },\n {\n \"question_id\": \"75094\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75095\",\n \"answer\": \"Schwartzel\"\n },\n {\n \"question_id\": \"75096\",\n \"answer\": \"the official European Tour website\"\n },\n {\n \"question_id\": \"75097\",\n \"answer\": \"\\\"Louis is playing so well right that it is impressive to watch and helped me on,\\\"\"\n },\n {\n \"question_id\": \"75098\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"75099\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75100\",\n \"answer\": \"one\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n São Paulo (; ; \"Saint Paul\" in English) is a municipality in the southeast region of Brazil. The metropolis is an alpha global city—as listed by the GaWC—and is the most populous city in Brazil and Americas as well as in the Southern Hemisphere. The municipality is also the largest in the Americas and Earth's 12th largest city proper by population. The city is the capital of the surrounding state of São Paulo, one of 26 constituent states of the republic. It is the most populous and wealthiest city in Brazil. It exerts strong international influences in commerce, finance, arts and entertainment. The name of the city honors the Apostle, Saint Paul of Tarsus. The city's metropolitan area of Greater São Paulo ranks as the most populous in Brazil, the 11th most populous on Earth, and largest Portuguese language-speaking city in the world. \n\nHaving the largest economy by GDP in Latin America and the Southern Hemisphere, the city is home to the São Paulo Stock Exchange. Paulista Avenue is the economic core of São Paulo. The city has the 11th largest GDP in the world, representing alone 10.7% of all Brazilian GDP and 36% of the production of goods and services in the state of São Paulo, being home to 63% of established multinationals in Brazil, and has been responsible for 28% of the national scientific production in 2005. With a GDP of US$477 billions, the Sao Paulo city alone could be ranked 24th globally compared with countries. (2016 Estimates).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72262\": \"Who is Sao Paulo named for?\"\n },\n {\n \"72263\": \"Where is Sao Paulo located?\"\n },\n {\n \"72264\": \"What part?\"\n },\n {\n \"72265\": \"Do more people live there than anywhere else in Brazil?\"\n },\n {\n \"72266\": \"Is there more money there than anywhere else in Brazil?\"\n },\n {\n \"72267\": \"Is it the wealthiest city in Brazil?\"\n },\n {\n \"72268\": \"Looking at the entire planet, where does Sao Paulo rank in city size, by population?\"\n },\n {\n \"72269\": \"How many states are in the republic there?\"\n },\n {\n \"72270\": \"Do more people speak Portuguese in Greater Sao Paulo than anywhere else?\"\n },\n {\n \"72271\": \"By population, where does Greater Sao Paul rank?\"\n },\n {\n \"72272\": \"And in the world?\"\n },\n {\n \"72273\": \"Is Sao Paulo a municipality?\"\n },\n {\n \"72274\": \"Where is their GDP considered the largest?\"\n },\n {\n \"72275\": \"Where else?\"\n },\n {\n \"72276\": \"Is a stock exchange located there?\"\n },\n {\n \"72277\": \"What's it's name?\"\n },\n {\n \"72278\": \"What percentage of of the production of goods in Brazil is in Sao Paulo?\"\n },\n {\n \"72279\": \"How about the national scientific production?\"\n },\n {\n \"72280\": \"What's the money amount of their GDP?\"\n },\n {\n \"72281\": \"Could Sao Paulo be considered the 24th in the world based on that amount?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72262\",\n \"answer\": \"Saint Paul\"\n },\n {\n \"question_id\": \"72263\",\n \"answer\": \"Brazil\"\n },\n {\n \"question_id\": \"72264\",\n \"answer\": \"the southeast region\"\n },\n {\n \"question_id\": \"72265\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72266\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"72267\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72268\",\n \"answer\": \"12th largest\"\n },\n {\n \"question_id\": \"72269\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"72270\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72271\",\n \"answer\": \"it is the most populous city in Brazil\"\n },\n {\n \"question_id\": \"72272\",\n \"answer\": \"11th most populous on Earth\"\n },\n {\n \"question_id\": \"72273\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72274\",\n \"answer\": \"in Latin America\"\n },\n {\n \"question_id\": \"72275\",\n \"answer\": \"and in the Southern Hemisphere\"\n },\n {\n \"question_id\": \"72276\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72277\",\n \"answer\": \"the S\\u00e3o Paulo Stock Exchange\"\n },\n {\n \"question_id\": \"72278\",\n \"answer\": \"36%\"\n },\n {\n \"question_id\": \"72279\",\n \"answer\": \"28% of the national scientific production\"\n },\n {\n \"question_id\": \"72280\",\n \"answer\": \"US$477 billions\"\n },\n {\n \"question_id\": \"72281\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nSAMMY JAY IS MODEST \n\nAs soon as the angry hunter with the terrible gun had disappeared among the trees of the Green Forest, and Lightfoot was sure that he had gone for good, Lightfoot came out from his hiding-place on top of the ridge and walked down to the pond of Paddy the Beaver for a drink. He knew that it was quite safe to do so, for Sammy Jay had followed the hunter, all the time screaming, \"Thief! thief! thief!\" Every one within hearing could tell just where that hunter was by Sammy's voice. It kept growing fainter and fainter, and by that Lightfoot knew that the hunter was getting farther and farther away. \n\nPaddy the Beaver swam out from his hiding-place and climbed out on the bank near Lightfoot. There was a twinkle in his eyes. \"That blue-coated mischief-maker isn't such a bad fellow at heart, after all, is he?\" said he. \n\nLightfoot lifted his beautiful head and set his ears forward to catch the sound of Sammy's voice in the distance. \n\n\"Sammy Jay may be a mischief-maker, as some people say,\" said he, \"but you can always count on him to prove a true friend in time of danger. He brought me warning of the coming of the hunter the other morning. You saw him save Mr. and Mrs. Quack a little while ago, and then he actually drove that hunter away. I suppose Sammy Jay has saved more lives than any one I know of. I wish he would come back here and let me thank him.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26555\": \"Who was warned about the hunter?\"\n },\n {\n \"26556\": \"Who else did the helper save?\"\n },\n {\n \"26557\": \"How were they helped?\"\n },\n {\n \"26558\": \"Who was in a mad mood?\"\n },\n {\n \"26559\": \"Did he have a weapon?\"\n },\n {\n \"26560\": \"Where was he when they spotted him?\"\n },\n {\n \"26561\": \"Was anyone trying not to be seen by the hunter?\"\n },\n {\n \"26562\": \"Who was it?\"\n },\n {\n \"26563\": \"Who was making lots of noise?\"\n },\n {\n \"26564\": \"What noise was he making?\"\n },\n {\n \"26565\": \"What was he saying while doing so?\"\n },\n {\n \"26566\": \"Who was he calling that?\"\n },\n {\n \"26567\": \"Who complimented Sammy?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26555\",\n \"answer\": \"Lightfoot\"\n },\n {\n \"question_id\": \"26556\",\n \"answer\": \"Mr. and Mrs. Quack\"\n },\n {\n \"question_id\": \"26557\",\n \"answer\": \"He drove that hunter away\"\n },\n {\n \"question_id\": \"26558\",\n \"answer\": \"The angry hunter\"\n },\n {\n \"question_id\": \"26559\",\n \"answer\": \"A gun\"\n },\n {\n \"question_id\": \"26560\",\n \"answer\": \"The Forest,\"\n },\n {\n \"question_id\": \"26561\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26562\",\n \"answer\": \"Lightfoot\"\n },\n {\n \"question_id\": \"26563\",\n \"answer\": \"Sammy Jay\"\n },\n {\n \"question_id\": \"26564\",\n \"answer\": \"Screaming\"\n },\n {\n \"question_id\": \"26565\",\n \"answer\": \"\\\"Thief! thief! thief!\"\n },\n {\n \"question_id\": \"26566\",\n \"answer\": \"The hunter\"\n },\n {\n \"question_id\": \"26567\",\n \"answer\": \"Paddy the Beaver\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Unlike the Spanish milled dollar the U.S. dollar is based upon a decimal system of values. In addition to the dollar the coinage act officially established monetary units of mill or one-thousandth of a dollar (symbol ₥), cent or one-hundredth of a dollar (symbol ¢), dime or one-tenth of a dollar, and eagle or ten dollars, with prescribed weights and composition of gold, silver, or copper for each. It was proposed in the mid-1800s that one hundred dollars be known as a union, but no union coins were ever struck and only patterns for the $50 half union exist. However, only cents are in everyday use as divisions of the dollar; \"dime\" is used solely as the name of the coin with the value of 10¢, while \"eagle\" and \"mill\" are largely unknown to the general public, though mills are sometimes used in matters of tax levies, and gasoline prices are usually in the form of $X.XX9 per gallon, e.g., $3.599, sometimes written as $3.599⁄10. When currently issued in circulating form, denominations equal to or less than a dollar are emitted as U.S. coins while denominations equal to or greater than a dollar are emitted as Federal Reserve notes (with the exception of gold, silver and platinum coins valued up to $100 as legal tender, but worth far more as bullion). Both one-dollar coins and notes are produced today, although the note form is significantly more common. In the past, \"paper money\" was occasionally issued in denominations less than a dollar (fractional currency) and gold coins were issued for circulation up to the value of $20 (known as the \"double eagle\", discontinued in the 1930s). The term eagle was used in the Coinage Act of 1792 for the denomination of ten dollars, and subsequently was used in naming gold coins. Paper currency less than one dollar in denomination, known as \"fractional currency\", was also sometimes pejoratively referred to as \"shinplasters\". In 1854, James Guthrie, then Secretary of the Treasury, proposed creating $100, $50 and $25 gold coins, which were referred to as a \"Union\", \"Half Union\", and \"Quarter Union\", thus implying a denomination of 1 Union = $100.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3539\": \"What system of values is the U.S dollar based upon?\"\n },\n {\n \"3540\": \"What is the value of an eagle in the U.S monetary system?\"\n },\n {\n \"3541\": \"In circulating for what are denominations less than a dollar issued as?\"\n },\n {\n \"3542\": \"When was the coin known as the double eagle discontinued?\"\n },\n {\n \"3543\": \"What are mils sometimes used for?\"\n },\n {\n \"3544\": \"Has any $100 dollar coin knows as the Union ever been issued?\"\n },\n {\n \"3545\": \"Who suggested creating $100, $50, $25 gold coins in 1954?\"\n },\n {\n \"3546\": \"What is the value of a Dime coin?\"\n },\n {\n \"3547\": \"What is paper currency less than one dollar sometimes called?\"\n },\n {\n \"3548\": \"Are the Union and the mill known well to the general public?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3539\",\n \"answer\": \"decimal system\"\n },\n {\n \"question_id\": \"3540\",\n \"answer\": \"ten dollars\"\n },\n {\n \"question_id\": \"3541\",\n \"answer\": \"cents\"\n },\n {\n \"question_id\": \"3542\",\n \"answer\": \"1930s\"\n },\n {\n \"question_id\": \"3543\",\n \"answer\": \"tax levies\"\n },\n {\n \"question_id\": \"3544\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"3545\",\n \"answer\": \"James Guthrie in 1854\"\n },\n {\n \"question_id\": \"3546\",\n \"answer\": \"10\\u00a2\"\n },\n {\n \"question_id\": \"3547\",\n \"answer\": \"fractional currency\"\n },\n {\n \"question_id\": \"3548\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Alex was happy when he woke up. He was really happy he didn't have to go to a dumb sit down school like his cousins. He was a home school kid. There was lots to do today. He woke Tigerrr, his kitty. They were going to look at the apple trees. He was seeing if he could grow more fruit by feeding them different kinds of food. He fed one chips and he fed one chocolate. He hoped the fruit would taste like apple chocolate! He fed one root beer and he fed another one salad. He fed one of them seaweed. He wrote down how many fruits each tree had, and this is what he found. The root beer tree had five fruits. The tree that was fed chocolate had three. The chip tree had ten. The salad tree had fifteen. The seaweed tree had fifty apples! They were everywhere. \"The winner!\", said Tigerrr, his paw in the air.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60538\": \"Who was happy?\"\n },\n {\n \"60539\": \"Why?\"\n },\n {\n \"60540\": \"Was there lots to do today?\"\n },\n {\n \"60541\": \"What's his kitty's name?\"\n },\n {\n \"60542\": \"What kind of trees were they going to look at?\"\n },\n {\n \"60543\": \"What did he feed the fruit?\"\n },\n {\n \"60544\": \"Why?\"\n },\n {\n \"60545\": \"Did he feed one root beer?\"\n },\n {\n \"60546\": \"What about salad?\"\n },\n {\n \"60547\": \"What did he write down?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60538\",\n \"answer\": \"Alex.\"\n },\n {\n \"question_id\": \"60539\",\n \"answer\": \"Because he didn't have to go to school.\"\n },\n {\n \"question_id\": \"60540\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60541\",\n \"answer\": \"Tigerrr.\"\n },\n {\n \"question_id\": \"60542\",\n \"answer\": \"Apple.\"\n },\n {\n \"question_id\": \"60543\",\n \"answer\": \"He fed one chips and he fed one chocolate.\"\n },\n {\n \"question_id\": \"60544\",\n \"answer\": \"Because he hoped the fruit would taste like apple chocolate.\"\n },\n {\n \"question_id\": \"60545\",\n \"answer\": \"He fed one root beer\"\n },\n {\n \"question_id\": \"60546\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60547\",\n \"answer\": \"How many fruits each tree had.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there was a man who needed to write story. His name was Mark. He had a bad case of writer's block. After a bit, he wrote a story about writing a story. This may seem a bit odd. Well, it was. The important thing to know is that Mark wanted money. This was so he could show off for his girl, Wendy. Wendy had two living parents named Greg and Gail. The exciting thing about Mark writing these stories, was that he could write whatever he wanted to. He could have written about bears. Or it could have been his best friend Error. There were so many choices for Mark. He was very happy. He was happy because he was almost done writing the story. Wendy, had she known about the writing would have been sad that Mark spent so much time thinking of odd stories.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35421\": \"What did the man need to do?\"\n },\n {\n \"35422\": \"Why did he want to write them?\"\n },\n {\n \"35423\": \"What was standing in his way?\"\n },\n {\n \"35424\": \"What made him content?\"\n },\n {\n \"35425\": \"Was the topic of the story the normal thing to write about?\"\n },\n {\n \"35426\": \"What was so great about writing these stories?\"\n },\n {\n \"35427\": \"What type of things could be included in the stories?\"\n },\n {\n \"35428\": \"How did his girlfriend feel about the stories?\"\n },\n {\n \"35429\": \"How would she have felt had she found out about them?\"\n },\n {\n \"35430\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35421\",\n \"answer\": \"write a story\"\n },\n {\n \"question_id\": \"35422\",\n \"answer\": \"he wanted money\"\n },\n {\n \"question_id\": \"35423\",\n \"answer\": \"writer's block.\"\n },\n {\n \"question_id\": \"35424\",\n \"answer\": \"he was almost done writing the story.\"\n },\n {\n \"question_id\": \"35425\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35426\",\n \"answer\": \"he could write whatever he wanted to\"\n },\n {\n \"question_id\": \"35427\",\n \"answer\": \"bears, his friend\"\n },\n {\n \"question_id\": \"35428\",\n \"answer\": \"she did not know about it\"\n },\n {\n \"question_id\": \"35429\",\n \"answer\": \"sad\"\n },\n {\n \"question_id\": \"35430\",\n \"answer\": \"because he spent so much time thinking of odd stories\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When, after a year of being alone on his island, Robinson Crusoe sees a footprint in the sand, the reader of Robinson Crusoe trembles. Will Crusoe find another human being to end his loneliness? Is the footprint the sign of an enemy? Since 1719, when Daniel Defoe wrote Robinson Crusoe, thousands of people who enjoy English novels have thrilled to this great adventure story. But few know how the story came to be written. Robinson Crusoe was the first English novel. Its birth brought together the misadventures of a Scotch \"failure\" and the untapped imagination of an aging English scribbler. Near the end of the Seventeenth Century, the hot-tempered Alexander Selkirk was charged with bad conduct while in church. Rather than face this charge, he ran away to sea. Several years later, Selkirk found himself on the ship of an English privateer. The privateer was preying on Spanish shipping. But Selkirk quarreled bitterly with the Captain. So, when the ship came to the island of Juan Femandez in the South Seas, Selkirk asked to be put ashore. When he saw that there were no people on the island, he begged to be taken back on board. But the Captain refused--Selkirk had gone too far. Over four years later, Selkirk was rescued by another ship. When Selkirk got back to England, the story of his life on the island fired the imagination of Daniel Defoe. Defoe had been earning a living by his pen since he was thirty. He was amazingly hard-working. He wrote a whole newspaper three times a week. He also made part of his living from politics. He supported both political parties. He told each party that it had his sole support. Defoe's morals were weak. But he was a fine writer. He was almost sixty when, in the midst of his work in politics, he wrote Robinson Crusoe. In it, Defoe--said one critic--\"forged a story, and forced it on the world for truth.\" The detail of Crusoe's battle for survival on a lonely island is so vivid that the reader of Robinson Crusoe accepts the product of the author's imagination for reality. Robinson Crusoe became the first of a long line of heroes and heroines that have peopled English novels since Defoe's time.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70284\": \"What was the first English novel?\"\n },\n {\n \"70285\": \"Who was it based off?\"\n },\n {\n \"70286\": \"Who was charged for being bad in church?\"\n },\n {\n \"70287\": \"When?\"\n },\n {\n \"70288\": \"Did he accept his penatily?\"\n },\n {\n \"70289\": \"What did he do?\"\n },\n {\n \"70290\": \"Defoe has been earning income by writing since what age?\"\n },\n {\n \"70291\": \"Which political party did he support?\"\n },\n {\n \"70292\": \"Was he considered a man with morals?\"\n },\n {\n \"70293\": \"What did he do three times a week?\"\n },\n {\n \"70294\": \"What age did he write Robinson Crusoe?\"\n },\n {\n \"70295\": \"And the year he wrote it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"70284\",\n \"answer\": \"Robinson Crusoe\"\n },\n {\n \"question_id\": \"70285\",\n \"answer\": \"English scribbler\"\n },\n {\n \"question_id\": \"70286\",\n \"answer\": \"Alexander Selkirk\"\n },\n {\n \"question_id\": \"70287\",\n \"answer\": \"Near the end of the Seventeenth Century\"\n },\n {\n \"question_id\": \"70288\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70289\",\n \"answer\": \"bad conduct while in church\"\n },\n {\n \"question_id\": \"70290\",\n \"answer\": \"thirty\"\n },\n {\n \"question_id\": \"70291\",\n \"answer\": \"both\"\n },\n {\n \"question_id\": \"70292\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70293\",\n \"answer\": \"wrote a whole newspaper\"\n },\n {\n \"question_id\": \"70294\",\n \"answer\": \"almost sixty\"\n },\n {\n \"question_id\": \"70295\",\n \"answer\": \"1719\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII \n\nPhilippa and Helen met in the drawing-room, a few minutes before eight that evening. Philippa was wearing a new black dress, a model of simplicity to the untutored eye, but full of that undefinable appeal to the mysterious which even the greatest artist frequently fails to create out of any form of colour. Some fancy had induced her to strip off her jewels at the last moment, and she wore no ornaments save a band of black velvet around her neck. Helen looked at her curiously. \n\n\"Is this a fresh scheme for conquest, Philippa?\" she asked, as they stood together by the log fire. \n\nPhilippa unexpectedly flushed. \n\n\"I don't know what I was thinking about, really,\" she confessed. \"Is that the exact time, I wonder?\" \n\n\"Two minutes to eight,\" Helen replied. \n\n\"Mr. Lessingham is always so punctual,\" Philippa murmured. \"I wonder if Captain Griffiths would dare!\" \n\n\"We've done our best to warn him,\" Helen reminded her friend. \"The man is simply pig-headed.\" \n\n\"I can't help feeling that he's right,\" Philippa declared, \"when he argues that they couldn't really prove anything against him.\" \n\n\"Does that matter,\" Helen asked anxiously, \"so long as he is an enemy, living under a false name here?\" \n\n\"You don't think they'd--they'd--\" \n\n\"Shoot him?\" Helen whispered, lowering her voice. \"They couldn't do that! They couldn't do that!\" \n\nThe clock began to chime. Suddenly Philippa, who had been listening, gave a little exclamation of relief. \n\n\"I hear his voice!\" she exclaimed. \"Thank goodness!\" \n\nHelen's relief was almost as great as her companion's. A moment later Mills ushered in their guest. He was still wearing his bandage, but his colour had returned. He seemed, in fact, almost gay. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94668\": \"Who is getting together?\"\n },\n {\n \"94669\": \"Where?\"\n },\n {\n \"94670\": \"What time?\"\n },\n {\n \"94671\": \"What time is it more precisely?\"\n },\n {\n \"94672\": \"Who is usually on time?\"\n },\n {\n \"94673\": \"What is Phillippa wearing?\"\n },\n {\n \"94674\": \"Does she look good in it?\"\n },\n {\n \"94675\": \"Is she wearing earrings?\"\n },\n {\n \"94676\": \"Who did they try to warn?\"\n },\n {\n \"94677\": \"Are they worried about him?\"\n },\n {\n \"94678\": \"Does the time change while they wait?\"\n },\n {\n \"94679\": \"What time is it now?\"\n },\n {\n \"94680\": \"Why is Phillippa relieved?\"\n },\n {\n \"94681\": \"Who else is relieved?\"\n },\n {\n \"94682\": \"Is the guest injured?\"\n },\n {\n \"94683\": \"How can we tell?\"\n },\n {\n \"94684\": \"Does he look happy?\"\n },\n {\n \"94685\": \"Is he pale?\"\n },\n {\n \"94686\": \"What were they worried someone would do to him\"\n },\n {\n \"94687\": \"Who brought him in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94668\",\n \"answer\": \"Philippa and Helen\"\n },\n {\n \"question_id\": \"94669\",\n \"answer\": \"In the drawing-room\"\n },\n {\n \"question_id\": \"94670\",\n \"answer\": \"A few minutes before eight\"\n },\n {\n \"question_id\": \"94671\",\n \"answer\": \"Two minutes to eight\"\n },\n {\n \"question_id\": \"94672\",\n \"answer\": \"Mr. Lessingham\"\n },\n {\n \"question_id\": \"94673\",\n \"answer\": \"A new black dress\"\n },\n {\n \"question_id\": \"94674\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94675\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"94676\",\n \"answer\": \"Mr. Lessingham.\"\n },\n {\n \"question_id\": \"94677\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94678\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94679\",\n \"answer\": \"Has to be 8\"\n },\n {\n \"question_id\": \"94680\",\n \"answer\": \"She hears his voice.\"\n },\n {\n \"question_id\": \"94681\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"94682\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94683\",\n \"answer\": \"He was wearing a bandage.\"\n },\n {\n \"question_id\": \"94684\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94685\",\n \"answer\": \"Not any more.\"\n },\n {\n \"question_id\": \"94686\",\n \"answer\": \"Shoot him.\"\n },\n {\n \"question_id\": \"94687\",\n \"answer\": \"Mills\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sofia ( or or ; , \"\", ) is the capital and largest city of Bulgaria. 1.26 million people live in the city and 1.68 million people live in its metropolitan area. The city is at the foot of Vitosha Mountain in the western part of the country. Being in the centre of the Balkan peninsula, it is midway between the Black Sea and the Adriatic Sea, and closest to the Aegean Sea. \n\nSofia has been an area of human habitation since at least 7000 BC. Being Bulgaria's primate city, Sofia is a hometown of many of the major local universities, cultural institutions and commercial companies. Sofia is one of the top 10 best places for start-up business in the world, especially in information technologies. Sofia is Europe's most affordable capital to visit . \n\nFor the longest time the city possessed a Thracian name, derived from the tribe \"Serdi\", who were either of Thracian, Celtic, or mixed Thracian-Celtic origin. The Serdi and the name of emperor Marcus Ulpius Traianus (53 – 117 AD) prompted the Romans to give the city the combinative name of \"Ulpia Serdica\"; Ulpia is derived from an Umbrian cognate of the Latin word \"lupus\", meaning \"wolf.\" It seems that the first written mention of \"Serdica\" was made during his reign and the last mention was in the 19th century in a Bulgarian text (Сардакіи, \"Sardaki\"). During the Romans \"civitas Serdenisium\" was mentioned the \"brightest city of the Serdi\" in official inscriptions. The city was major throughout the past ever since Antiquity, when Roman emperor Constantine the Great referred to it as \"my Rome\", and it nearly became his capital.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39848\": \"What is the capital of Bulgaria?\"\n },\n {\n \"39849\": \"Is it a small city?\"\n },\n {\n \"39850\": \"How manyh people live in the city?\"\n },\n {\n \"39851\": \"And in the metro area?\"\n },\n {\n \"39852\": \"What mountain is it at the base of?\"\n },\n {\n \"39853\": \"How many seas is it near?\"\n },\n {\n \"39854\": \"which one is it closest to?\"\n },\n {\n \"39855\": \"What is one other sea nearby?\"\n },\n {\n \"39856\": \"and the other?\"\n },\n {\n \"39857\": \"how long have people been living there?\"\n },\n {\n \"39858\": \"does it have universities?\"\n },\n {\n \"39859\": \"How does it rank regarding start ups?\"\n },\n {\n \"39860\": \"in the country?\"\n },\n {\n \"39861\": \"What kind of name did it have?\"\n },\n {\n \"39862\": \"where did that name came from?\"\n },\n {\n \"39863\": \"who was the emperor?\"\n },\n {\n \"39864\": \"What name did the Romans give to the city?\"\n },\n {\n \"39865\": \"What does lupus mean?\"\n },\n {\n \"39866\": \"When was he last mention of the name?\"\n },\n {\n \"39867\": \"what did Constantine called it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39848\",\n \"answer\": \"Sofia\"\n },\n {\n \"question_id\": \"39849\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39850\",\n \"answer\": \"1.26 million\"\n },\n {\n \"question_id\": \"39851\",\n \"answer\": \"1.68 million\"\n },\n {\n \"question_id\": \"39852\",\n \"answer\": \"Vitosha Mountain\"\n },\n {\n \"question_id\": \"39853\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"39854\",\n \"answer\": \"Aegean Sea\"\n },\n {\n \"question_id\": \"39855\",\n \"answer\": \"Black Sea\"\n },\n {\n \"question_id\": \"39856\",\n \"answer\": \"Adriatic Sea\"\n },\n {\n \"question_id\": \"39857\",\n \"answer\": \"since at least 7000 BC\"\n },\n {\n \"question_id\": \"39858\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39859\",\n \"answer\": \"one of the top 10 best places\"\n },\n {\n \"question_id\": \"39860\",\n \"answer\": \"in the world\"\n },\n {\n \"question_id\": \"39861\",\n \"answer\": \"Thracian\"\n },\n {\n \"question_id\": \"39862\",\n \"answer\": \"from the tribe \\\"Serdi\\\"\"\n },\n {\n \"question_id\": \"39863\",\n \"answer\": \"Constantine the Great\"\n },\n {\n \"question_id\": \"39864\",\n \"answer\": \"Ulpia Serdica\"\n },\n {\n \"question_id\": \"39865\",\n \"answer\": \"wolf\"\n },\n {\n \"question_id\": \"39866\",\n \"answer\": \"19th century\"\n },\n {\n \"question_id\": \"39867\",\n \"answer\": \"my Rome\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jimmy was 2 years old. One day his mom was out and his dad took care of him. Someone gave Jimmy a little tea set as a gift and it was one of his favorite toys. Dad was in the living room watching the evening news. Then Jimmy brought his dad a little cup of \"tea\". In fact, it was just water. After some cups of tea, his dad said to him, \"Jimmy, you are a nice good boy. I love you.\" Later, Jimmy's mom came home. His dad made her wait in the living room to watch Jimmy bring him a cup of tea. \"It's the cutest thing,\" he said to his wife. Mom waited. Jimmy came down the hall with a cup of tea for his dad. She watched him drink it up and laughed. Then she said: \"Did you know that the only place he is tall enough to get water from is the toilet ?\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5160\": \"What was the boy playing with?\"\n },\n {\n \"5161\": \"Who was he playing with?\"\n },\n {\n \"5162\": \"What did his dad ask him to get?\"\n },\n {\n \"5163\": \"What was his father doing?\"\n },\n {\n \"5164\": \"What was in the cup?\"\n },\n {\n \"5165\": \"Who drank it?\"\n },\n {\n \"5166\": \"Who filled it up?\"\n },\n {\n \"5167\": \"Where did the water come from?\"\n },\n {\n \"5168\": \"Why did he get the water from there?\"\n },\n {\n \"5169\": \"Who figured out where it was from?\"\n },\n {\n \"5170\": \"Why did the mother laugh?\"\n },\n {\n \"5171\": \"Who did the father think was a good kid?\"\n },\n {\n \"5172\": \"How did the kid get the tea set?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5160\",\n \"answer\": \"A little tea set.\"\n },\n {\n \"question_id\": \"5161\",\n \"answer\": \"His dad.\"\n },\n {\n \"question_id\": \"5162\",\n \"answer\": \"a cup of tea.\"\n },\n {\n \"question_id\": \"5163\",\n \"answer\": \"He had Jimmy's mom watch.\"\n },\n {\n \"question_id\": \"5164\",\n \"answer\": \"water.\"\n },\n {\n \"question_id\": \"5165\",\n \"answer\": \"Dad.\"\n },\n {\n \"question_id\": \"5166\",\n \"answer\": \"Jimmy.\"\n },\n {\n \"question_id\": \"5167\",\n \"answer\": \"the toilet ?\\\"\"\n },\n {\n \"question_id\": \"5168\",\n \"answer\": \"That is the only place he is tall enough to get water from\"\n },\n {\n \"question_id\": \"5169\",\n \"answer\": \"Mom did.\"\n },\n {\n \"question_id\": \"5170\",\n \"answer\": \"She watched him drink it .\"\n },\n {\n \"question_id\": \"5171\",\n \"answer\": \"Jimmy\"\n },\n {\n \"question_id\": \"5172\",\n \"answer\": \"Someone gave him a little tea set as a gift\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV \n\nA CALL FOR ASSISTANCE \n\nAda Waltham did all she could to make herself agreeable to Sam and the others, but the youngest Rover was in no mood for raillery, and on the way back to Larkinburg had but little to say. \n\nChester Waltham had lost no time in assisting Grace into his runabout and in getting his car out of the congestion in the parking space. Then he put on speed, and soon the pair were whirled away out of the sight of the others. \n\n\"It's a dandy night for a ride,\" was Tom's remark. There was some moonshine, and the stars glittered clear in the heavens overhead. \n\n\"That is true, Tom,\" answered his wife, \"but don't you think we had better get back to the hotel and go to bed? I heard Dick say something about a long day of it to-morrow.\" \n\n\"Oh, yes, Nellie, we'll get back. It wouldn't be fair to go off and leave mother and Mrs. Stanhope alone.\" \n\nWhen they reached the hotel at Larkinburg the Rovers expected to find the Waltham runabout in the garage, and they were consequently somewhat surprised when they saw no sign of the machine. \n\n\"We certainly couldn't have passed them on the road,\" observed Dick. He turned to his youngest brother. \"You didn't see them, did you?\" \n\n\"No. They went on ahead,\" answered Sam, shortly; and his manner of speech showed that he was thoroughly out of sorts. \n\nHaving placed the touring cars in the care of the garage keeper, the Rovers joined the others on the piazza of the hotel. Then Dora slipped upstairs to see if her mother and Mrs. Laning were all right. She found both of them sleeping soundly, and did not disturb them. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1776\": \"Who did Waltham help?\"\n },\n {\n \"1777\": \"Did Tom say it was a bad night for a drive?\"\n },\n {\n \"1778\": \"What did he say?\"\n },\n {\n \"1779\": \"Did Tom have a family?\"\n },\n {\n \"1780\": \"Who?\"\n },\n {\n \"1781\": \"Who tried to be agreeable to others?\"\n },\n {\n \"1782\": \"Did Dick say he had a short day the next day?\"\n },\n {\n \"1783\": \"What did he say?\"\n },\n {\n \"1784\": \"What did they find at the hotel?\"\n },\n {\n \"1785\": \"What did Sam say?\"\n },\n {\n \"1786\": \"Who was asleep deeply?\"\n },\n {\n \"1787\": \"Did they get woken up?\"\n },\n {\n \"1788\": \"Who checked on them?\"\n },\n {\n \"1789\": \"Who was entrusted with the cars?\"\n },\n {\n \"1790\": \"What kind of mood was Sam in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1776\",\n \"answer\": \"Grace\"\n },\n {\n \"question_id\": \"1777\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1778\",\n \"answer\": \"It was dandy\"\n },\n {\n \"question_id\": \"1779\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1780\",\n \"answer\": \"A wife and children\"\n },\n {\n \"question_id\": \"1781\",\n \"answer\": \"Ada\"\n },\n {\n \"question_id\": \"1782\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1783\",\n \"answer\": \"Would be a long day\"\n },\n {\n \"question_id\": \"1784\",\n \"answer\": \"Nothing\"\n },\n {\n \"question_id\": \"1785\",\n \"answer\": \"\\\"They went ahead\\\"\"\n },\n {\n \"question_id\": \"1786\",\n \"answer\": \"Dora's mother and Mrs. Laning\"\n },\n {\n \"question_id\": \"1787\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1788\",\n \"answer\": \"Dora\"\n },\n {\n \"question_id\": \"1789\",\n \"answer\": \"The garage keeper\"\n },\n {\n \"question_id\": \"1790\",\n \"answer\": \"Out of sorts\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Spanish language is the second most spoken language in the United States. There are 45 million Hispanophones who speak Spanish as a first or second language in the United States, as well as six million Spanish language students. Together, this makes the United States of America the second largest Hispanophone country in the world after Mexico, and with the United States having more Spanish-speakers than Colombia and Spain (but fewer first language speakers). Spanish is the Romance language and the Indo-European language with the largest number of native speakers in the world. Roughly half of all American Spanish-speakers also speak English \"very well,\" based on their self-assessment in the U.S. Census. \n\nThe Spanish language has been present in what is now the United States since the 16th and 17th centuries, with the arrival of Spanish colonization in North America that would later become the states of Florida, Texas, Colorado, New Mexico, Arizona, Nevada, Utah, and California. The Spanish explorers explored areas of 42 future U.S. states leaving behind a varying range of Hispanic legacy in the North American continent. Additionally, western regions of the Louisiana Territory were under Spanish rule between 1763 to 1800, after the French and Indian War, further extending the Spanish influence throughout modern-day United States of America.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64384\": \"How many spanish language students are in the United States?\"\n },\n {\n \"64385\": \"How long has the Spanish language been present in the United states?\"\n },\n {\n \"64386\": \"How long were parts of Louisiana under Spanish rule?\"\n },\n {\n \"64387\": \"Based on the US Census, how do american spansih speakers rate their English?\"\n },\n {\n \"64388\": \"Who has more spanish speakers, the US or Mexico?\"\n },\n {\n \"64389\": \"When did the spanish language arrive in what is now the united states?\"\n },\n {\n \"64390\": \"What states did the spanish colinizers occupy?\"\n },\n {\n \"64391\": \"What language is the most used in the world?\"\n },\n {\n \"64392\": \"how many states did the spanish explorers explore?\"\n },\n {\n \"64393\": \"How many Hispanophones speak spanish as a first or second language?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64384\",\n \"answer\": \"six million\"\n },\n {\n \"question_id\": \"64385\",\n \"answer\": \"since the 16th and 17th centuries\"\n },\n {\n \"question_id\": \"64386\",\n \"answer\": \"37 years.\"\n },\n {\n \"question_id\": \"64387\",\n \"answer\": \"very well\"\n },\n {\n \"question_id\": \"64388\",\n \"answer\": \"Mexico\"\n },\n {\n \"question_id\": \"64389\",\n \"answer\": \"16th and 17th centuries\"\n },\n {\n \"question_id\": \"64390\",\n \"answer\": \"Florida, Texas, Colorado, New Mexico, Arizona, Nevada, Utah, and California\"\n },\n {\n \"question_id\": \"64391\",\n \"answer\": \"Spanish\"\n },\n {\n \"question_id\": \"64392\",\n \"answer\": \"42\"\n },\n {\n \"question_id\": \"64393\",\n \"answer\": \"45 million\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Trinity College is a constituent college of the University of Cambridge in England. With around 600 undergraduates, 300 graduates, and over 180 fellows, it is the largest college in either of the Oxbridge universities by number of undergraduates. By combined student numbers, it is second to Homerton College, Cambridge. \n\nMembers of Trinity have won 32 Nobel Prizes out of the 91 won by members of Cambridge University, the highest number of any college. Five Fields Medals in mathematics were won by members of the college (of the six awarded to members of British universities) and one Abel Prize was won. \n\nTrinity alumni include six British prime ministers (all Tory or Whig/Liberal), physicists Isaac Newton, James Clerk Maxwell, Ernest Rutherford and Niels Bohr, mathematician Srinivasa Ramanujan, the poet Lord Byron, philosophers Ludwig Wittgenstein and Bertrand Russell (whom it expelled before reaccepting), and Soviet spies Kim Philby, Guy Burgess and Anthony Blunt. \n\nTwo members of the British royal family have studied at Trinity and been awarded degrees as a result: Prince William of Gloucester and Edinburgh, who gained an MA in 1790, and Prince Charles, who was awarded a lower second class BA in 1970. Other royal family members have studied there without obtaining degrees, including King Edward VII, King George VI, and Prince Henry, Duke of Gloucester.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57931\": \"What kind of school is this?\"\n },\n {\n \"57932\": \"A constituent of what?\"\n },\n {\n \"57933\": \"What is the name of the school?\"\n },\n {\n \"57934\": \"Has anyone important attended there?\"\n },\n {\n \"57935\": \"Any scientists?\"\n },\n {\n \"57936\": \"Like who?\"\n },\n {\n \"57937\": \"Any literary geniuses?\"\n },\n {\n \"57938\": \"What about politicians?\"\n },\n {\n \"57939\": \"Have any members of royalty studied there?\"\n },\n {\n \"57940\": \"Who was the most recent one to get a degree?\"\n },\n {\n \"57941\": \"What degree did he get?\"\n },\n {\n \"57942\": \"When?\"\n },\n {\n \"57943\": \"Who else from that family got a degree?\"\n },\n {\n \"57944\": \"When did he get his degree?\"\n },\n {\n \"57945\": \"How many total students are there?\"\n },\n {\n \"57946\": \"What is the one school with more students?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57931\",\n \"answer\": \"a constituent college\"\n },\n {\n \"question_id\": \"57932\",\n \"answer\": \"the University of Cambridge in England\"\n },\n {\n \"question_id\": \"57933\",\n \"answer\": \"Trinity College\"\n },\n {\n \"question_id\": \"57934\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57935\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57936\",\n \"answer\": \"physicists Isaac Newton, James Clerk Maxwell, Ernest Rutherford and Niels Bohr,\"\n },\n {\n \"question_id\": \"57937\",\n \"answer\": \"the poet Lord Byron\"\n },\n {\n \"question_id\": \"57938\",\n \"answer\": \"six British prime ministers\"\n },\n {\n \"question_id\": \"57939\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57940\",\n \"answer\": \"Prince Charles\"\n },\n {\n \"question_id\": \"57941\",\n \"answer\": \"a lower second class BA\"\n },\n {\n \"question_id\": \"57942\",\n \"answer\": \"in 1970\"\n },\n {\n \"question_id\": \"57943\",\n \"answer\": \"Prince William of Gloucester and Edinburgh\"\n },\n {\n \"question_id\": \"57944\",\n \"answer\": \"A MA\"\n },\n {\n \"question_id\": \"57945\",\n \"answer\": \"600 undergraduates, 300 graduates, and over 180 fellows\"\n },\n {\n \"question_id\": \"57946\",\n \"answer\": \"Homerton College, Cambridge\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Several years ago ,Masaru Ibuka ,chairman of Sony ,was at a company planning a meeting. Suddenly he hdd a brilliant idea. He stopped the meeting and asked everyone present what would happen if Sony removed the recording function and 'speaker and sold headphones with a tape player instead. Almost everyone thought he was crazy. Still ,Ibuka kept thinking about his idea and worked at improving it The result, of course, turned out to be the wildly successful Sony Walkman. Good ideas often start with a seemingly silly question. Bill Bowerman was making breakfast one day. As he stood there making waffles for his son, he wondered what would happen if he poured rubber into his waffle iron. Later ,he tried it and the result looked something Like the bottom of most sports shoes we see today. Still, when he took this idea to several existing shoe companies, he was laughed at In fact, every single company turned him down. Though rather discouraged, Bowerman insisted and went on to form his own company, making NBKE athletic shoes. Sometime good ideas grow out of frustration .When Fred Smith was a student at Yale University, he had some paperwork that he needed to have delivered across the country the next day. Smith was amazed to find out that overnight delivery was impossible. He sat for a long while ,lost in thought Why couldn't there be a reliable overnight mail delivery service? He decided to design one. Smith did just that and turned his design into a class project His business professor gave him only a C for his efforts. However, Smith was not through. He improved the idea in that class project and finally turned them into one of the first and most successful overnight mail service in the world -- FedEx. We know that each of these ideas led to a very successful product or service that has changed the way many of us live. The best questions are usually open-ended and are often silly, Children aren't afraid to ask such questions ,but adults frequently are. Think how different the world might be if people never asked \" silly\" questions!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12261\": \"What type of questions led to success?\"\n },\n {\n \"12262\": \"Who had the crazy idea to pour rubber onto a small kitchen appliance?\"\n },\n {\n \"12263\": \"Did he try it?\"\n },\n {\n \"12264\": \"What did it lead to?\"\n },\n {\n \"12265\": \"What do they make?\"\n },\n {\n \"12266\": \"Who had the concept for a portable player?\"\n },\n {\n \"12267\": \"Where did he work?\"\n },\n {\n \"12268\": \"What did they make from his concept?\"\n },\n {\n \"12269\": \"Was it a popular product?\"\n },\n {\n \"12270\": \"The concept of overnight services came out of which college?\"\n },\n {\n \"12271\": \"What provoked it?\"\n },\n {\n \"12272\": \"Did he present the concept as a project?\"\n },\n {\n \"12273\": \"Was it a successful concept to the professor?\"\n },\n {\n \"12274\": \"What grade was he given?\"\n },\n {\n \"12275\": \"What did this man end up creating?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12261\",\n \"answer\": \"silly\\\" questions\"\n },\n {\n \"question_id\": \"12262\",\n \"answer\": \"Bill Bowerman\"\n },\n {\n \"question_id\": \"12263\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12264\",\n \"answer\": \"NBKE\"\n },\n {\n \"question_id\": \"12265\",\n \"answer\": \"athletic shoes\"\n },\n {\n \"question_id\": \"12266\",\n \"answer\": \",Masaru Ibuka\"\n },\n {\n \"question_id\": \"12267\",\n \"answer\": \"Sony\"\n },\n {\n \"question_id\": \"12268\",\n \"answer\": \"Sony Walkman\"\n },\n {\n \"question_id\": \"12269\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12270\",\n \"answer\": \"Yale University\"\n },\n {\n \"question_id\": \"12271\",\n \"answer\": \"overnight delivery was impossible\"\n },\n {\n \"question_id\": \"12272\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12273\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12274\",\n \"answer\": \"C\"\n },\n {\n \"question_id\": \"12275\",\n \"answer\": \"FedEx\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Immunology is a branch of biomedical science that covers the study of immune systems in all organisms. It charts, measures, and contextualizes the: physiological functioning of the immune system in states of both health and diseases; malfunctions of the immune system in immunological disorders (such as autoimmune diseases, hypersensitivities, immune deficiency, and transplant rejection); the physical, chemical and physiological characteristics of the components of the immune system in vitro, in situ, and in vivo. Immunology has applications in numerous disciplines of medicine, particularly in the fields of organ transplantation, oncology, virology, bacteriology, parasitology, psychiatry, and dermatology. \n\nPrior to the designation of immunity from the etymological root immunis, which is Latin for \"exempt\"; early physicians characterized organs that would later be proven as essential components of the immune system. The important lymphoid organs of the immune system are the thymus and bone marrow, and chief lymphatic tissues such as spleen, tonsils, lymph vessels, lymph nodes, adenoids, and liver. When health conditions worsen to emergency status, portions of immune system organs including the thymus, spleen, bone marrow, lymph nodes and other lymphatic tissues can be surgically excised for examination while patients are still alive.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65742\": \"Can some tissue be examined while the patients are still alive?\"\n },\n {\n \"65743\": \"What is immunology a branch of?\"\n },\n {\n \"65744\": \"Does it only study immune systems in humans?\"\n },\n {\n \"65745\": \"How many organisms does it cover?\"\n },\n {\n \"65746\": \"What states of the immune system does it chart?\"\n },\n {\n \"65747\": \"What kind of functioning might it measure?\"\n },\n {\n \"65748\": \"What's an example of an immunological disorder?\"\n },\n {\n \"65749\": \"Is the immune system working as intended when someone has that?\"\n },\n {\n \"65750\": \"What's another example of an immunological disorder?\"\n },\n {\n \"65751\": \"How can a lymph node be excised?\"\n },\n {\n \"65752\": \"Is the thymus an immune system organ?\"\n },\n {\n \"65753\": \"What's another one?\"\n },\n {\n \"65754\": \"What type of tissue is the tonsils?\"\n },\n {\n \"65755\": \"Are lymphoid organs important or not?\"\n },\n {\n \"65756\": \"What etymological root does immunity derive from?\"\n },\n {\n \"65757\": \"What language is that from?\"\n },\n {\n \"65758\": \"What's it mean in English?\"\n },\n {\n \"65759\": \"Does Immunology have any application in oncology?\"\n },\n {\n \"65760\": \"What about dermatology?\"\n },\n {\n \"65761\": \"Can you name another field it has applications in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65742\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65743\",\n \"answer\": \"Biomedical science\"\n },\n {\n \"question_id\": \"65744\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65745\",\n \"answer\": \"All organisms\"\n },\n {\n \"question_id\": \"65746\",\n \"answer\": \"Health and diseases\"\n },\n {\n \"question_id\": \"65747\",\n \"answer\": \"Physiological functioning\"\n },\n {\n \"question_id\": \"65748\",\n \"answer\": \"Autoimmune diseases\"\n },\n {\n \"question_id\": \"65749\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"65750\",\n \"answer\": \"Hypersensitivities\"\n },\n {\n \"question_id\": \"65751\",\n \"answer\": \"Surgically\"\n },\n {\n \"question_id\": \"65752\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65753\",\n \"answer\": \"Spleen\"\n },\n {\n \"question_id\": \"65754\",\n \"answer\": \"lymphatic tissues\"\n },\n {\n \"question_id\": \"65755\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65756\",\n \"answer\": \"Immunis\"\n },\n {\n \"question_id\": \"65757\",\n \"answer\": \"Latin\"\n },\n {\n \"question_id\": \"65758\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"65759\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65760\",\n \"answer\": \".Yes\"\n },\n {\n \"question_id\": \"65761\",\n \"answer\": \"Psychiatry\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter XI \n\nNow that Grandfather had fought through the Old French War, in which our chair made no very distinguished figure, he thought it high time to tell the children some of the more private history of that praiseworthy old piece of furniture. \n\n\"In 1757,\" said Grandfather, \"after Shirley had been summoned to England, Thomas Pownall was appointed governor of Massachusetts. He was a gay and fashionable English gentleman, who had spent much of his life in London, but had a considerable acquaintance with America. The new governor appears to have taken no active part in the war that was going on; although, at one period, he talked of marching against the enemy, at the head of his company of cadets. But, on the whole, he probably concluded that it was more befitting a governor to remain quietly in our chair, reading the newspapers and official documents.\" \n\n\"Did the people like Pownall?\" asked Charley. \n\n\"They found no fault with him,\" replied Grandfather. \"It was no time to quarrel with the governor, when the utmost harmony was required, in order to defend the country against the French. But Pownall did not remain long in Massachusetts. In 1759, he was sent to be governor of South Carolina. In thus exchanging one government for another, I suppose he felt no regret, except at the necessity of leaving Grandfather’s chair behind him.\" \n\n\"He might have taken it to South Carolina,\" observed Clara. \n\n\"It appears to me,\" said Laurence, giving the rein to his fancy, \"that the fate of this ancient chair was, somehow or other, mysteriously connected with the fortunes of old Massachusetts. If Governor Pownall had put it aboard the vessel in which he sailed for South Carolina, she would probably have lain wind-bound in Boston harbor. It was ordained that the chair should not be taken away. Don’t you think so, Grandfather?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79064\": \"when did Pownall become governor?\"\n },\n {\n \"79065\": \"where was Shirley then?\"\n },\n {\n \"79066\": \"did people like Pownall?\"\n },\n {\n \"79067\": \"what happened in 1759?\"\n },\n {\n \"79068\": \"what did he leave behind?\"\n },\n {\n \"79069\": \"what war did grandfather fight in?\"\n },\n {\n \"79070\": \"what did he decide to tell the kids?\"\n },\n {\n \"79071\": \"where did Pownall grow up?\"\n },\n {\n \"79072\": \"did he take part in the war?\"\n },\n {\n \"79073\": \"what did he think about doing against the enenemy?\"\n },\n {\n \"79074\": \"why didnt he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79064\",\n \"answer\": \"In 1757\"\n },\n {\n \"question_id\": \"79065\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"79066\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79067\",\n \"answer\": \"he was sent to be governor of South Carolina\"\n },\n {\n \"question_id\": \"79068\",\n \"answer\": \"Grandfather\\u2019s chair\"\n },\n {\n \"question_id\": \"79069\",\n \"answer\": \"the Old French War\"\n },\n {\n \"question_id\": \"79070\",\n \"answer\": \"some of the more private history of the old piece of furniture\"\n },\n {\n \"question_id\": \"79071\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"79072\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79073\",\n \"answer\": \"marching against them\"\n },\n {\n \"question_id\": \"79074\",\n \"answer\": \"it was more befitting a governor to remain quietly in our chair\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI \n\nTHE THORN HEDGE \n\nMist drifted about the hollows and the new moon shone between the motionless light clouds. The air was damp and Jim buttoned his driving-coat as he talked to Bernard on the steps at Dryholm. His small car stood near the arch, with its lights glistening on the dewy lawn. \n\n\"Your lamps are dim,\" said Bernard. \"If you will wait a minute, I'll send them to the garage.\" \n\nJim said he knew the road and the lamps would burn until he got home; and Bernard resumed: \"I expect you know that what you are doing at the marsh won't make you popular.\" \n\n\"Lance Mordaunt hinted something like that, but I don't see why people should grumble,\" Jim replied. \"The marsh is mine.\" \n\n\"Your title's good,\" Bernard agreed. \"Since the ground is not enclosed, Joseph didn't bother about sporting rights and your neighbors took it for granted they could shoot a few ducks and snipe when they liked. The sport's rough for men who shoot hand-reared pheasants, but there's some satisfaction in killing birds that are really wild.\" \n\n\"There is some satisfaction. The game I've shot was certainly wild; in fact, I sometimes took steep chances when I missed. When you get after a bull moose or a cinnamon bear it's prudent to hold straight. Well, I'd sooner my neighbors liked me, but don't mean to keep my land waste for them to play on.\" \n\nBernard nodded. \"You are not afraid of unpopularity? However, I think I'd have got rid of Shanks, instead of sending him to Bank-end. The fellow's cunning and there's some ground for believing him revengeful.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42874\": \"Who was talking to one another?\"\n },\n {\n \"42875\": \"Where were they?\"\n },\n {\n \"42876\": \"Where was the light coming from?\"\n },\n {\n \"42877\": \"Were his car lights on?\"\n },\n {\n \"42878\": \"Were they bright?\"\n },\n {\n \"42879\": \"According to whom?\"\n },\n {\n \"42880\": \"Did he wwant to get them looked at?\"\n },\n {\n \"42881\": \"Did Jim accept the offer?\"\n },\n {\n \"42882\": \"Why not?\"\n },\n {\n \"42883\": \"Who is shooting difficult for?\"\n },\n {\n \"42884\": \"Who would make him unpopular?\"\n },\n {\n \"42885\": \"Who agreed with Bernard about this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42874\",\n \"answer\": \"Jim and Bernard\"\n },\n {\n \"question_id\": \"42875\",\n \"answer\": \"on the steps at Dryholm\"\n },\n {\n \"question_id\": \"42876\",\n \"answer\": \"the new moon\"\n },\n {\n \"question_id\": \"42877\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42878\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42879\",\n \"answer\": \"Bernard.\"\n },\n {\n \"question_id\": \"42880\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42881\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42882\",\n \"answer\": \"e knew the road and they would last until he got home\"\n },\n {\n \"question_id\": \"42883\",\n \"answer\": \"men shooting hand-reared pheasant\"\n },\n {\n \"question_id\": \"42884\",\n \"answer\": \"Shanks\"\n },\n {\n \"question_id\": \"42885\",\n \"answer\": \"jim\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there were three rabbits, named Winston, Chester, and Francis. Chester was a brown rabbit with large eyes. Francis was grey and white and had messy fur. Winston was black and very fat. They were very happy rabbits who loved to eat. Every day they would leave their home, cross a road, and go through a small forest to get to a meadow of grass. They loved to eat that grass. One day, Chester thought he smelled something interesting. At first he thought it might be dirt. Then he thought maybe some sort of flower. So, he asked a nearby squirrel. The squirrel's name was Acorn. Acorn said that he thought it was mushrooms. However, Francis, the smartest rabbit, went to go look, and he learned that it was actually a garden of carrots. The rabbits were all excited. They all loved carrots! They ate all the carrots.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56766\": \"Who was the smartest rabbit?\"\n },\n {\n \"56767\": \"were there any other rabbits?\"\n },\n {\n \"56768\": \"who?\"\n },\n {\n \"56769\": \"What did Chester look like?\"\n },\n {\n \"56770\": \"how about Winston?\"\n },\n {\n \"56771\": \"and Francis?\"\n },\n {\n \"56772\": \"what did they do every day?\"\n },\n {\n \"56773\": \"why?\"\n },\n {\n \"56774\": \"did anything interesting ever happen?\"\n },\n {\n \"56775\": \"what was it?\"\n },\n {\n \"56776\": \"what did it smell like?\"\n },\n {\n \"56777\": \"Did he ask anyone else to smell it?\"\n },\n {\n \"56778\": \"who\"\n },\n {\n \"56779\": \"did the squirrel have a name?\"\n },\n {\n \"56780\": \"what?\"\n },\n {\n \"56781\": \"what did Acorn think the smell was?\"\n },\n {\n \"56782\": \"and what did Francis think?\"\n },\n {\n \"56783\": \"did he do anything?\"\n },\n {\n \"56784\": \"what did he find?\"\n },\n {\n \"56785\": \"how did the rabbits feel?\"\n },\n {\n \"56786\": \"what did they do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"56766\",\n \"answer\": \"Francis\"\n },\n {\n \"question_id\": \"56767\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56768\",\n \"answer\": \"Winston &Chester\"\n },\n {\n \"question_id\": \"56769\",\n \"answer\": \"A brown rabbit with large eyes.\"\n },\n {\n \"question_id\": \"56770\",\n \"answer\": \"He's black and very fat.\"\n },\n {\n \"question_id\": \"56771\",\n \"answer\": \"He's greay & white with messy fur.\"\n },\n {\n \"question_id\": \"56772\",\n \"answer\": \"Go to the meadow.\"\n },\n {\n \"question_id\": \"56773\",\n \"answer\": \"To eat grass.\"\n },\n {\n \"question_id\": \"56774\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"56775\",\n \"answer\": \"A smell\"\n },\n {\n \"question_id\": \"56776\",\n \"answer\": \"He didn't know.\"\n },\n {\n \"question_id\": \"56777\",\n \"answer\": \"Yes..\"\n },\n {\n \"question_id\": \"56778\",\n \"answer\": \"A squirrel.\"\n },\n {\n \"question_id\": \"56779\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"56780\",\n \"answer\": \"Acorn.\"\n },\n {\n \"question_id\": \"56781\",\n \"answer\": \"Mushrooms.\"\n },\n {\n \"question_id\": \"56782\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"56783\",\n \"answer\": \"went to go look,\"\n },\n {\n \"question_id\": \"56784\",\n \"answer\": \"Carrots\"\n },\n {\n \"question_id\": \"56785\",\n \"answer\": \"Excited.\"\n },\n {\n \"question_id\": \"56786\",\n \"answer\": \"Ate all the carrots.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Nova Scotia (; Latin for \"New Scotland\"; ; ) is one of Canada's three Maritime provinces, and one of the four provinces which form Atlantic Canada. Its provincial capital is Halifax. Nova Scotia is the second smallest of Canada's ten provinces, with an area of , including Cape Breton and another 3,800 coastal islands. As of 2016, the population was 923,598. Nova Scotia is the second most-densely populated province in Canada with . \n\n\"Nova Scotia\" means \"New Scotland\" in Latin and is the recognized English language name for the province. In Scottish Gaelic, the province is called \", which also simply means \"New Scotland\". The province was first named in the 1621 Royal Charter granting the right to settle lands including modern Nova Scotia, Cape Breton Island, Prince Edward Island, New Brunswick and the Gaspé Peninsula to Sir William Alexander in 1632. \n\nNova Scotia is Canada's smallest province in area after Prince Edward Island. The province's mainland is the Nova Scotia peninsula surrounded by the Atlantic Ocean, including numerous bays and estuaries. Nowhere in Nova Scotia is more than from the ocean. Cape Breton Island, a large island to the northeast of the Nova Scotia mainland, is also part of the province, as is Sable Island, a small island notorious for its shipwrecks, approximately from the province's southern coast.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81571\": \"How many provinces do Canada have?\"\n },\n {\n \"81572\": \"How many maritime provinces does Canada have?\"\n },\n {\n \"81573\": \"What rank in size does Nova Scotia hold in the ten provinces?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81571\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"81572\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"81573\",\n \"answer\": \"second smallest\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hubert Joseph Schlafly was an electrical engineer who helped change the way actors, politicians and other people speak on television. In 1950, he and two other men developed the teleprompter. One co-worker, Fred Barton, was an actor. He had an idea for a tool that would help television actors read their lines without having to memorize them. The other co-worker was Irving Kahn. He worked as vice-president of radio and television at 20thCentury Fox. \n\nThe first teleprompter involved a person who held a long piece of paper printed with big letters. As the actor read the lines, another person would move the paper ahead on the device . The teleprompter was first used on a television program called \"The First Hundred Years.\" Later versions used television screens to show the words that were to be read. \n\nHub Schlafly and his co-workers believed that many companies would want to buy the teleprompter. So, they left their jobs and created the TelePrompTer Corporation to sell their invention. \n\nIn 1952, former President Herbert Hoover became the first politician to use a teleprompter. The former president was speaking at the Republican National Convention in Chicago, USA. For a brief time, he stopped reading and began to talk about a subject not written in his speech. When Hoover wanted to continue the speech, the words on the teleprompter were not moving. He then said the machine should be restarted and viewers became aware of the new invention. Many reporters wrote about that incident, creating a new level of publicity for the teleprompter. \n\nSoon more and more politicians started to use it to face the television camera while reading prepared statements, instead of looking down at their notes. Then the device was used for almost all live television broadcasts.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81613\": \"What did Joseph Schlafly help to create?\"\n },\n {\n \"81614\": \"Did he do it alone?\"\n },\n {\n \"81615\": \"How many others were there?\"\n },\n {\n \"81616\": \"Who were they?\"\n },\n {\n \"81617\": \"What was Fred's job?\"\n },\n {\n \"81618\": \"What about Irving's?\"\n },\n {\n \"81619\": \"Did they all quite their jobs?\"\n },\n {\n \"81620\": \"why?\"\n },\n {\n \"81621\": \"did they have a company?\"\n },\n {\n \"81622\": \"What was it?\"\n },\n {\n \"81623\": \"When did they create the teleprompter?\"\n },\n {\n \"81624\": \"Who was the person in politics to use it?\"\n },\n {\n \"81625\": \"When?\"\n },\n {\n \"81626\": \"Where was he?\"\n },\n {\n \"81627\": \"At what gathering?\"\n },\n {\n \"81628\": \"Did he give away that he was using it?\"\n },\n {\n \"81629\": \"How?\"\n },\n {\n \"81630\": \"Did this serve as advertising for it?\"\n },\n {\n \"81631\": \"Why did he need it?\"\n },\n {\n \"81632\": \"What was the first show to use it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81613\",\n \"answer\": \"the teleprompter\"\n },\n {\n \"question_id\": \"81614\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81615\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"81616\",\n \"answer\": \"Fred Barton and Irving Kahn\"\n },\n {\n \"question_id\": \"81617\",\n \"answer\": \"he was an actor\"\n },\n {\n \"question_id\": \"81618\",\n \"answer\": \"Vice President at 20th Century Fox\"\n },\n {\n \"question_id\": \"81619\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81620\",\n \"answer\": \"to sell their invention\"\n },\n {\n \"question_id\": \"81621\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81622\",\n \"answer\": \"the TelePrompTer Corporation\"\n },\n {\n \"question_id\": \"81623\",\n \"answer\": \"In 1950\"\n },\n {\n \"question_id\": \"81624\",\n \"answer\": \"Herbert Hoover\"\n },\n {\n \"question_id\": \"81625\",\n \"answer\": \"1952\"\n },\n {\n \"question_id\": \"81626\",\n \"answer\": \"in Chicago\"\n },\n {\n \"question_id\": \"81627\",\n \"answer\": \"the Republican National Convention\"\n },\n {\n \"question_id\": \"81628\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81629\",\n \"answer\": \"he said it should be restarted\"\n },\n {\n \"question_id\": \"81630\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81631\",\n \"answer\": \"to continue his speech\"\n },\n {\n \"question_id\": \"81632\",\n \"answer\": \"the First Hundred Years\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII: DOUBLE, DOUBLE TOIL AND TROUBLE \n\n\n\n'Truly the tender mercies of the weak, As of the wicked, are but cruel.' \n\nAnd how did Lilias show that she had been truly benefited by her sorrows? Did she fall back into her habits of self-indulgence, or did she run into ill-directed activity, selfish as her indolence, because only gratifying the passion of the moment? \n\nThose who lived with her saw but little change; kind-hearted and generous she had ever been, and many had been her good impulses, so that while she daily became more steady in well-doing, and exerting herself on principle, no one remarked it, and no one entered into the struggles which it cost her to tame her impetuosity, or force herself to do what was disagreeable to herself, and might offend Emily. \n\nHowever, Emily could forgive a great deal when she found that Lily was ready to take any part of the business of the household and schoolroom, which she chose to impose upon her, without the least objection, yet to leave her to assume as much of the credit of managing as she chose--to have no will or way of her own, and to help her to keep her wardrobe in order. \n\nThe schoolroom was just now more of a labour than had ever been the case, at least to one who, like Lilias, if she did a thing at all, would not be satisfied with half doing it. Phyllis was not altered, except that she cried less, and had in a great measure cured herself of dawdling habits and tricks, by her honest efforts to obey well- remembered orders of Eleanor's; but still her slowness and dulness were trying to her teachers, and Lily had often to reproach herself for being angry with her 'when she was doing her best.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27073\": \"Who could forgive a great deal?\"\n },\n {\n \"27074\": \"Who was she forgiving?\"\n },\n {\n \"27075\": \"Were her old routines ones of altruism and generosity?\"\n },\n {\n \"27076\": \"Was it the long-term that she would describe as giving pleasure?\"\n },\n {\n \"27077\": \"Who may be offended?\"\n },\n {\n \"27078\": \"How many rooms was she ready to assist with?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"27073\",\n \"answer\": \"Emily\"\n },\n {\n \"question_id\": \"27074\",\n \"answer\": \"lily\"\n },\n {\n \"question_id\": \"27075\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27076\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"27077\",\n \"answer\": \"Emily\"\n },\n {\n \"question_id\": \"27078\",\n \"answer\": \"any\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mary went to Canada on vacation. After a week, she came back to New York. She told lots of interesting things to her best friend, Jack. Jack was very interested in Canada and decided to have a visit there. The next summer vacation, Mary and Jack had a plan to go to Canada together. But her mother was badly ill so she went to the airport to see her friend off. When they got to the airport, Mary had to got to the washroom. When she came back, she couldn't find Jack because there were so many people at the airport. She looked for him everywhere, but it was hard to find Jack among the people. Suddenly Mary saw Jack and she felt very happy, so she shouted,\"Hi, Jack. Here, here.\" At the same time, Jack waved his arms,\"I'm here.\" In 3 minutes, so many policemen came to the front of Jack and caught him, \"Please come with me to the police office.\" After the policemen found out the reason, they let them free. Why? Because the word \"hijack\" in the English has different meanings.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43354\": \"Where did Mary come back?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43354\",\n \"answer\": \"to New York\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n I couldn't believe today had come! It was finally my birthday and that meant I could start working at the nearby pet store. First off, let me say that my name is Lilly, and as I'm sure you know, today's my birthday! Working at the pet shop has been my dream ever since I was a little girl, so actually getting to work with and help take care of the kitties, puppies, lizards and all sorts of animals is the coolest thing to happen to me. Some people dream of being a doctor, or a nurse, or even a teacher, but I've always wanted to work with pets. I'll say, like many people, I do have fears and that fear is snakes so I won't get to take care of them! \n\n\\tabI arrived at the pet store around nine in the morning and was greeted by the friendly woman that owned it who I talked with over the phone. Her hair was covering her name tag so I couldn't tell if her name was Martha, Margaret, or Mary, but it turns out she told me it was Margie so none of them were right. Margie helped me become friendly with all the animals, and I had so much fun the whole day. I fed them, gave them water, and even got to play with them! Margie didn't think I was ready to clean up after them yet so she said that could be done another day. It was everything I ever hoped and I can't wait for tomorrow!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27057\": \"What is today?\"\n },\n {\n \"27058\": \"What did that mean?\"\n },\n {\n \"27059\": \"Where at?\"\n },\n {\n \"27060\": \"who will have the job there?\"\n },\n {\n \"27061\": \"How long has she fantasized about this job?\"\n },\n {\n \"27062\": \"What is she scared of?\"\n },\n {\n \"27063\": \"When did she show up for her job?\"\n },\n {\n \"27064\": \"Who greeted her\"\n },\n {\n \"27065\": \"Was she the owner?\"\n },\n {\n \"27066\": \"What was her name?\"\n },\n {\n \"27067\": \"Did Lilly enjoy her day?\"\n },\n {\n \"27068\": \"Did she pick up after the critters?\"\n },\n {\n \"27069\": \"Is she ready for her next day on the job?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"27057\",\n \"answer\": \"birthday\"\n },\n {\n \"question_id\": \"27058\",\n \"answer\": \"start working\"\n },\n {\n \"question_id\": \"27059\",\n \"answer\": \"pet store\"\n },\n {\n \"question_id\": \"27060\",\n \"answer\": \"Lilly\"\n },\n {\n \"question_id\": \"27061\",\n \"answer\": \"little girl\"\n },\n {\n \"question_id\": \"27062\",\n \"answer\": \"snakes\"\n },\n {\n \"question_id\": \"27063\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"27064\",\n \"answer\": \"woman\"\n },\n {\n \"question_id\": \"27065\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27066\",\n \"answer\": \"Margie\"\n },\n {\n \"question_id\": \"27067\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27068\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27069\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Islamabad, Pakistan (CNN) -- A Pakistani court Monday gave police two weeks to prepare their case for charging five Americans whom police suspect of planning terrorist attacks. \n\nAuthorities have said they plan to prosecute the five men -- who are being held in jail -- under the country's anti-terrorism act. \n\nA court hearing was set for January 18. \n\nPolice have said they are confident that the Americans were planning terrorist acts, according to Tahir Gujjrar, deputy superintendent of police in Sargodha, where the men were arrested December 9. \n\nGujjrar told CNN a preliminary investigation suggests that the men came to Pakistan to wage jihad and had sought to link up with Jaish-e-Mohammed and Jamaat-ud-Dawa militant organizations, neither of which showed interest, he said. The men wanted to martyr themselves, he said. \n\nJaish-e-Mohammed is the group believed to be responsible for the murder of journalist Daniel Pearl. \n\nBut Mohammed Ameer Khan Rokhri, an attorney representing the men, said they testified on the Quran, the Muslim holy book, \"that they have no connection with any banned organization,\" including Jaish-e-Mohammed or al Qaeda. \n\nThey told the court, \"We are going to Afghanistan to help the Muslims who have been injured by the NATO forces and other Afghan forces,\" the attorney said. And they said the didn't intend to commit any crime in Pakistan, he said. \n\nThe five young men are identified as Ahmed Abdullah Minni, Umar Farooq, Aman Hassan Yemer, Waqar Hussain Khan and Ramy Zamzam. All are in their early 20s except Yemer, who, according to the interrogation report from Pakistani police, is 18 years old. Two of the suspects are Pakistani-American, two are Yemeni-American, and one is Egyptian-American. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68815\": \"When does the trial start?\"\n },\n {\n \"68816\": \"And they were arrested when?\"\n },\n {\n \"68817\": \"Where?\"\n },\n {\n \"68818\": \"Who is head of the cops?\"\n },\n {\n \"68819\": \"And his title?\"\n },\n {\n \"68820\": \"What was their agenda?\"\n },\n {\n \"68821\": \"And their nationality?\"\n },\n {\n \"68822\": \"How many are jailed?\"\n },\n {\n \"68823\": \"How long until trial?\"\n },\n {\n \"68824\": \"What jurisdiction?\"\n },\n {\n \"68825\": \"What were the charged attempting to start?\"\n },\n {\n \"68826\": \"Did they work with military groups?\"\n },\n {\n \"68827\": \"Which ones?\"\n },\n {\n \"68828\": \"And their reasoning?\"\n },\n {\n \"68829\": \"Who is likely behind the death of Daniel Pearl?\"\n },\n {\n \"68830\": \"Did they enter a guilty plea?\"\n },\n {\n \"68831\": \"What did they testify on?\"\n },\n {\n \"68832\": \"And what is that?\"\n },\n {\n \"68833\": \"Who is their representative in court?\"\n },\n {\n \"68834\": \"How old are the suspected terrorists?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68815\",\n \"answer\": \"January 18\"\n },\n {\n \"question_id\": \"68816\",\n \"answer\": \"December 9.\"\n },\n {\n \"question_id\": \"68817\",\n \"answer\": \"Sargodha\"\n },\n {\n \"question_id\": \"68818\",\n \"answer\": \"Tahir Gujjrar\"\n },\n {\n \"question_id\": \"68819\",\n \"answer\": \"deputy superintendent of police\"\n },\n {\n \"question_id\": \"68820\",\n \"answer\": \"terrorist acts\"\n },\n {\n \"question_id\": \"68821\",\n \"answer\": \"Americans\"\n },\n {\n \"question_id\": \"68822\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"68823\",\n \"answer\": \"two weeks\"\n },\n {\n \"question_id\": \"68824\",\n \"answer\": \"Pakistani\"\n },\n {\n \"question_id\": \"68825\",\n \"answer\": \"jihad\"\n },\n {\n \"question_id\": \"68826\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"68827\",\n \"answer\": \"Jaish-e-Mohammed and Jamaat-ud-Dawa\"\n },\n {\n \"question_id\": \"68828\",\n \"answer\": \"to martyr themselves\"\n },\n {\n \"question_id\": \"68829\",\n \"answer\": \"Jaish-e-Mohammed\"\n },\n {\n \"question_id\": \"68830\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68831\",\n \"answer\": \"Quran\"\n },\n {\n \"question_id\": \"68832\",\n \"answer\": \"Muslim holy book\"\n },\n {\n \"question_id\": \"68833\",\n \"answer\": \"Mohammed Ameer Khan Rokhri\"\n },\n {\n \"question_id\": \"68834\",\n \"answer\": \"early 20s except Yemer, who is 18 years old\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n South Slavic dialects historically formed a continuum. The turbulent history of the area, particularly due to expansion of the Ottoman Empire, resulted in a patchwork of dialectal and religious differences. Due to population migrations, Shtokavian became the most widespread in the western Balkans, intruding westwards into the area previously occupied by Chakavian and Kajkavian (which further blend into Slovenian in the northwest). Bosniaks, Croats and Serbs differ in religion and were historically often part of different cultural circles, although a large part of the nations have lived side by side under foreign overlords. During that period, the language was referred to under a variety of names, such as \"Slavic\", \"Illyrian\", or according to region, \"Bosnian\", \"Serbian\" and \"Croatian\", the latter often in combination with \"Slavonian\" or \"Dalmatian\". \n\nSerbo-Croatian was standardized in the mid-19th-century Vienna Literary Agreement by Croatian and Serbian writers and philologists, decades before a Yugoslav state was established. From the very beginning, there were slightly different literary Serbian and Croatian standards, although both were based on the same Shtokavian subdialect, Eastern Herzegovinian. In the 20th century, Serbo-Croatian served as the official language of the Kingdom of Yugoslavia (when it was called \"Serbo-Croato-Slovenian\"), and later as one of the official languages of the Socialist Federal Republic of Yugoslavia. The breakup of Yugoslavia affected language attitudes, so that social conceptions of the language separated on ethnic and political lines. Since the breakup of Yugoslavia, Bosnian has likewise been established as an official standard in Bosnia and Herzegovina, and there is an ongoing movement to codify a separate Montenegrin standard. Serbo-Croatian thus generally goes by the ethnic names Serbian, Croatian, Bosnian, and sometimes Montenegrin and Bunjevac.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3795\": \"Why are South Slavic dialects on a continuum?\"\n },\n {\n \"3796\": \"which dialect was the most widespread?\"\n },\n {\n \"3797\": \"were there other differences besides dialetctal?\"\n },\n {\n \"3798\": \"which dialect was the most widespread in the Balkans?\"\n },\n {\n \"3799\": \"Which 3 have differences in religion?\"\n },\n {\n \"3800\": \"What is one name for the dialects?\"\n },\n {\n \"3801\": \"Were the languages sometimes named by region?\"\n },\n {\n \"3802\": \"What is one example?\"\n },\n {\n \"3803\": \"and another?\"\n },\n {\n \"3804\": \"one more?\"\n },\n {\n \"3805\": \"what is Croation a combination of?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3795\",\n \"answer\": \"expansion of the Ottoman Empire\"\n },\n {\n \"question_id\": \"3796\",\n \"answer\": \"western Balkans\"\n },\n {\n \"question_id\": \"3797\",\n \"answer\": \"religious\"\n },\n {\n \"question_id\": \"3798\",\n \"answer\": \"Shtokavian\"\n },\n {\n \"question_id\": \"3799\",\n \"answer\": \"Bosniaks, Croats and Serbs\"\n },\n {\n \"question_id\": \"3800\",\n \"answer\": \"Eastern Herzegovinian\"\n },\n {\n \"question_id\": \"3801\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3802\",\n \"answer\": \"Bosnian\"\n },\n {\n \"question_id\": \"3803\",\n \"answer\": \"Serbian\"\n },\n {\n \"question_id\": \"3804\",\n \"answer\": \"Croatian\"\n },\n {\n \"question_id\": \"3805\",\n \"answer\": \"\\\"Slavonian\\\" or \\\"Dalmatian\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX. \n\nCAST ASHORE. \n\nWHEN Jack opened his eyes he lay for some time wondering where he was and what had become of him. There were stars in the sky overhead, but the light was stealing over it, and he felt that it was daybreak. There was a loud, dull, roaring sound in his ears--a sound he could not understand, for not even a breath of wind fanned his cheek. At last slowly the facts came to his mind. There had been a great storm, the vessel was among the breakers, he had got into the long-boat with Arthur to put in the plugs, they had been lifted up and blown away--and then suddenly Jack sat upright. \n\nIt was light enough for him to see that he was still in the boat, but its back was broken and its sides staved in. Around him was a mass of tangled foliage, and close beside him lay Arthur Hill, the blood slowly oozing from a terrible gash in his forehead. Jack leaned over and raised him, and loudly shouted his name in his ear. With a sigh Arthur opened his eyes. \n\n\"What is it, Jack?\" he asked feebly. \n\n\"We are saved, old man. We have been blown right ashore in the boat, and we have both got shaken and hurt a bit; but, thank God, we are both alive.\" \n\n\"Where are we?\" Arthur asked, looking round. \n\n\"As far as I can see,\" Jack replied, \"we are in the middle of a grove of trees that have been blown down by the gale, and the leaves and branches have broken our fall, otherwise we must have been smashed up. We must have been lying here for the last ten hours. It was just about six o'clock when we struck, for I looked at the clock in the cabin the last time we were down there; and as the sun will be up before long, it must be getting on for five now. Now, let us try to get out of this.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88677\": \"Where was Jack?\"\n },\n {\n \"88678\": \"What condition was it in?\"\n },\n {\n \"88679\": \"What time of day was it?\"\n },\n {\n \"88680\": \"Was someone injured?\"\n },\n {\n \"88681\": \"Who?\"\n },\n {\n \"88682\": \"Was he alive?\"\n },\n {\n \"88683\": \"Where was he injured?\"\n },\n {\n \"88684\": \"Were they aware of their exact location for certain?\"\n },\n {\n \"88685\": \"How long did Jack estimate they'd been there?\"\n },\n {\n \"88686\": \"Did he remember glancing at a clock?\"\n },\n {\n \"88687\": \"What time did it say?\"\n },\n {\n \"88688\": \"Where was it?\"\n },\n {\n \"88689\": \"What time did he guess it must be now?\"\n },\n {\n \"88690\": \"What caused the boat to crash?\"\n },\n {\n \"88691\": \"What sound did Jack hear when he awoke?\"\n },\n {\n \"88692\": \"Was it due to the wind?\"\n },\n {\n \"88693\": \"Which man was older?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88677\",\n \"answer\": \"in the boat\"\n },\n {\n \"question_id\": \"88678\",\n \"answer\": \"its back was broken\"\n },\n {\n \"question_id\": \"88679\",\n \"answer\": \"daybreak\"\n },\n {\n \"question_id\": \"88680\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88681\",\n \"answer\": \"Arthur Hill\"\n },\n {\n \"question_id\": \"88682\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88683\",\n \"answer\": \"his forehead\"\n },\n {\n \"question_id\": \"88684\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88685\",\n \"answer\": \"ten hours.\"\n },\n {\n \"question_id\": \"88686\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88687\",\n \"answer\": \"six o'clock\"\n },\n {\n \"question_id\": \"88688\",\n \"answer\": \"in the cabin\"\n },\n {\n \"question_id\": \"88689\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"88690\",\n \"answer\": \"a great storm\"\n },\n {\n \"question_id\": \"88691\",\n \"answer\": \"a loud, dull, roaring sound\"\n },\n {\n \"question_id\": \"88692\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"88693\",\n \"answer\": \"Arthur\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVII \n\nSTARTLING NEWS \n\nIt was noon on the day after Wandle's flight, and Jernyngham was sitting with his friends in a room of the Leslie homestead when Muriel, looking out of the window, saw Prescott's hired man ride up at a gallop. His haste and his anxious expression when he dismounted alarmed her, but her companions had not noticed him, and she waited, listening to the murmur of voices that presently reached her from an adjoining room. They ceased in a few minutes, she saw the man ride away as fast as he had come, and soon afterward Leslie opened the door. He was a talkative person and looked as if he had something of importance to relate. \n\n\"Svendsen has been over to ask if I saw Prescott when I was in at the settlement yesterday,\" he said. \"When I told him that I hadn't, he seemed mighty disturbed.\" \n\nMuriel's heart throbbed painfully, but she waited for one of the others to speak, and Jernyngham, laying down his paper, glanced up sharply. \n\n\"Why?\" he asked. \n\nThis was all the encouragement Leslie needed. \n\n\"I'll tell you, so far as I've got the hang of the thing; I thought you'd like to know. It seems Prescott has been away somewhere for a few days and should have got home last night. He came in on the train in the evening, and Harper drove him out and dropped him at Wandle's trail; Prescott said he wanted to see the man. Well, he didn't get home, and Svendsen, who'd been to Harper's this morning, found Wandle gone and three of his horses missing. Then he found out from Watson, who stayed at the hotel last night, that Curtis rode in on a played-out horse before it was light, and kept the night operator busy for a while with the wires. Seems to me the thing has a curious look.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64106\": \"Who took a flight?\"\n },\n {\n \"64107\": \"What time did he sit with friends the next day?\"\n },\n {\n \"64108\": \"Did Leslie like to chat?\"\n },\n {\n \"64109\": \"Whose heart hurt?\"\n },\n {\n \"64110\": \"Who's been away for awhile?\"\n },\n {\n \"64111\": \"In what room did the friends chat?\"\n },\n {\n \"64112\": \"How did the hired man travel?\"\n },\n {\n \"64113\": \"Did all the friends see him arrive?\"\n },\n {\n \"64114\": \"Did the hired man hang around?\"\n },\n {\n \"64115\": \"Who opened the door?\"\n },\n {\n \"64116\": \"Did he look anxious?\"\n },\n {\n \"64117\": \"Who hadn't been seen the day before?\"\n },\n {\n \"64118\": \"Who was worried about that?\"\n },\n {\n \"64119\": \"Who put their reading down?\"\n },\n {\n \"64120\": \"When was Prescott supposed to return?\"\n },\n {\n \"64121\": \"How was he traveling?\"\n },\n {\n \"64122\": \"Where did he get left at?\"\n },\n {\n \"64123\": \"What time of day?\"\n },\n {\n \"64124\": \"What was also missing?\"\n },\n {\n \"64125\": \"Who spent the night at a paid room?\"\n },\n {\n \"64126\": \"Who had a very tired animal?\"\n },\n {\n \"64127\": \"What did he keep the clerk busy with?\"\n },\n {\n \"64128\": \"Where were the low voices coming from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64106\",\n \"answer\": \"Wandle.\"\n },\n {\n \"question_id\": \"64107\",\n \"answer\": \"Noon.\"\n },\n {\n \"question_id\": \"64108\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"64109\",\n \"answer\": \"Muriel's.\"\n },\n {\n \"question_id\": \"64110\",\n \"answer\": \"Prescot.\"\n },\n {\n \"question_id\": \"64111\",\n \"answer\": \"At the Leslie homestead.\"\n },\n {\n \"question_id\": \"64112\",\n \"answer\": \"On a horse.\"\n },\n {\n \"question_id\": \"64113\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"64114\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"64115\",\n \"answer\": \"Leslie.\"\n },\n {\n \"question_id\": \"64116\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"64117\",\n \"answer\": \"Prescott.\"\n },\n {\n \"question_id\": \"64118\",\n \"answer\": \"Svendsen.\"\n },\n {\n \"question_id\": \"64119\",\n \"answer\": \"Jernyngham.\"\n },\n {\n \"question_id\": \"64120\",\n \"answer\": \"Last night.\"\n },\n {\n \"question_id\": \"64121\",\n \"answer\": \"Train.\"\n },\n {\n \"question_id\": \"64122\",\n \"answer\": \"Wandle's trail.\"\n },\n {\n \"question_id\": \"64123\",\n \"answer\": \"Evening.\"\n },\n {\n \"question_id\": \"64124\",\n \"answer\": \"Horses.\"\n },\n {\n \"question_id\": \"64125\",\n \"answer\": \"Watson.\"\n },\n {\n \"question_id\": \"64126\",\n \"answer\": \"Curtis.\"\n },\n {\n \"question_id\": \"64127\",\n \"answer\": \"Wires.\"\n },\n {\n \"question_id\": \"64128\",\n \"answer\": \"An adjoining room.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n LONDON, England (CNN) -- It was Anabella De León's frail 86-year-old mother who answered the door when the men came knocking. \"They told her, 'say to Anabella that we are going to kill her very soon,'\" De León told CNN. The visit left her mother crying, anxious and shocked. \n\nCongresswoman Anabella de Leon with her husband in London for a performance of \"Seven\" by Vital Voices. \n\nThat was four months ago. No attempt on her life has been made, De León said, but she still looks over her shoulder, takes alternative routes in her car, constantly checking that she's not being followed. \n\nAnabella De León is not well known outside Guatemala. Within the Central American country though, she has made headlines as an outspoken critic of corruption. She's serving her fourth term in Congress as a member of the Patriotic Party, which last weekend elected her to one of its top posts of Third National Secretary. \n\nThe death threats are not new. Since 2002, she's been protected by at least one security guard on request from the Inter-American Commission on Human Rights. Her 26-year-old son is also shadowed by a security guard; a precautionary move in response to earlier threats connected to De León's anti-corruption efforts. \n\n\"The fight against corruption doesn't give you friends,\" she said. \"[It] gives you enemies, important and dangerous enemies,\" she told CNN during a recent trip to London for a performance of the play \"Seven,\" which profiles De León and six other international female leaders. Read more about \"Seven.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51302\": \"What political party does De Leon belong to?\"\n },\n {\n \"51303\": \"What role has she just assumed in the party?\"\n },\n {\n \"51304\": \"Why does she need protection?\"\n },\n {\n \"51305\": \"Who requested the protection?\"\n },\n {\n \"51306\": \"What is she doing in London?\"\n },\n {\n \"51307\": \"Did anyone join her?\"\n },\n {\n \"51308\": \"Why was her mother crying?\"\n },\n {\n \"51309\": \"How old is she?\"\n },\n {\n \"51310\": \"What precautions does De Leon take?\"\n },\n {\n \"51311\": \"Anything else?\"\n },\n {\n \"51312\": \"Does she have children?\"\n },\n {\n \"51313\": \"How old?\"\n },\n {\n \"51314\": \"Does the child receive protection?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51302\",\n \"answer\": \"Patriotic Party,\"\n },\n {\n \"question_id\": \"51303\",\n \"answer\": \"ourth term in Congress\"\n },\n {\n \"question_id\": \"51304\",\n \"answer\": \"earlier threats connected to De Le\\u00f3n's anti-corruption efforts.\"\n },\n {\n \"question_id\": \"51305\",\n \"answer\": \"nter-American Commission on Human Rights\"\n },\n {\n \"question_id\": \"51306\",\n \"answer\": \"performance of \\\"Seven\\\" by Vital Voices.\"\n },\n {\n \"question_id\": \"51307\",\n \"answer\": \"husband\"\n },\n {\n \"question_id\": \"51308\",\n \"answer\": \"men came knocking. \\\"They told her, 'say to Anabella that we are going to kill her very soon\"\n },\n {\n \"question_id\": \"51309\",\n \"answer\": \"86\"\n },\n {\n \"question_id\": \"51310\",\n \"answer\": \"protected by at least one security guard\"\n },\n {\n \"question_id\": \"51311\",\n \"answer\": \"takes alternative routes in her car, constantly checking that she's not being followed.\"\n },\n {\n \"question_id\": \"51312\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"51313\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"51314\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Observer is a British newspaper published on Sundays. In the same place on the political spectrum as its sister papers \"the Guardian\" and the \"Guardian Weekly\", whose parent company Guardian Media Group Limited acquired it in 1993, it takes a social liberal or social democratic line on most issues. First published in 1791, it is the world's oldest Sunday newspaper. \n\nThe first issue, published on 4 December 1791 by W.S. Bourne, was the world's first Sunday newspaper. Believing that the paper would be a means of wealth, Bourne instead soon found himself facing debts of nearly £1,600. Though early editions purported editorial independence, Bourne attempted to cut his losses and sell the title to the government. When this failed, Bourne's brother (a wealthy businessman) made an offer to the government, which also refused to buy the paper but agreed to subsidise it in return for influence over its editorial content. As a result, the paper soon took a strong line against radicals such as Thomas Paine, Francis Burdett and Joseph Priestley. \n\nIn 1807, the brothers decided to relinquish editorial control, naming Lewis Doxat as the new editor. Seven years later, the brothers sold \"The Observer\" to William Innell Clement, a newspaper proprietor who owned a number of publications. The paper continued to receive government subsidies during this period; in 1819, of the approximately 23,000 copies of the paper distributed weekly, approximately 10,000 were given away as \"specimen copies\", distributed by postmen who were paid to deliver them to \"lawyers, doctors, and gentlemen of the town.\" Yet the paper began to demonstrate a more independent editorial stance, criticising the authorities' handling of the events surrounding the Peterloo Massacre and defying an 1820 court order against publishing details of the trial of the Cato Street Conspirators, who were alleged to have plotted to murder members of the Cabinet. The woodcut pictures published of the stable and hayloft where the conspirators were arrested reflected a new stage of illustrated journalism that the newspaper pioneered during this time.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63462\": \"What is The Observer?\"\n },\n {\n \"63463\": \"When is it published?\"\n },\n {\n \"63464\": \"Is it affiliated with other papers?\"\n },\n {\n \"63465\": \"Which ones?\"\n },\n {\n \"63466\": \"Are they run by the same company?\"\n },\n {\n \"63467\": \"What company?\"\n },\n {\n \"63468\": \"When was it first published?\"\n },\n {\n \"63469\": \"What political stance does it take?\"\n },\n {\n \"63470\": \"Who first published it?\"\n },\n {\n \"63471\": \"Did it do well?\"\n },\n {\n \"63472\": \"What did he do?\"\n },\n {\n \"63473\": \"Did they successfully sell it?\"\n },\n {\n \"63474\": \"What did he do then?\"\n },\n {\n \"63475\": \"How did this affect the paper?\"\n },\n {\n \"63476\": \"Did the brothers remain editors?\"\n },\n {\n \"63477\": \"Who became editor?\"\n },\n {\n \"63478\": \"Was the paper then sold?\"\n },\n {\n \"63479\": \"To whom?\"\n },\n {\n \"63480\": \"Did it sell better under his control?\"\n },\n {\n \"63481\": \"Who was their target audience?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63462\",\n \"answer\": \"a British newspaper\"\n },\n {\n \"question_id\": \"63463\",\n \"answer\": \"on Sundays\"\n },\n {\n \"question_id\": \"63464\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63465\",\n \"answer\": \"\\\"the Guardian\\\" and the \\\"Guardian Weekly\\\"\"\n },\n {\n \"question_id\": \"63466\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63467\",\n \"answer\": \"Guardian Media Group Limited\"\n },\n {\n \"question_id\": \"63468\",\n \"answer\": \"4 December 1791\"\n },\n {\n \"question_id\": \"63469\",\n \"answer\": \"social liberal or social democratic\"\n },\n {\n \"question_id\": \"63470\",\n \"answer\": \"W.S. Bourne\"\n },\n {\n \"question_id\": \"63471\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63472\",\n \"answer\": \"attempted to sell the title to the government\"\n },\n {\n \"question_id\": \"63473\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63474\",\n \"answer\": \"Bourne's brother made an offer to the government\"\n },\n {\n \"question_id\": \"63475\",\n \"answer\": \"the paper took a strong line against radicals\"\n },\n {\n \"question_id\": \"63476\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63477\",\n \"answer\": \"Lewis Doxat\"\n },\n {\n \"question_id\": \"63478\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63479\",\n \"answer\": \"William Innell Clement\"\n },\n {\n \"question_id\": \"63480\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63481\",\n \"answer\": \"lawyers, doctors, and gentlemen of the town\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXI \n\nA WILDCAT AMONG THE HORSES \n\nThe bringing down of the grouse filled the boys with satisfaction, and they inspected the game with much interest. \n\n\"They'll make fine eating,\" declared Roger. \n\n\"Let us see if we can't get some more,\" pleaded Phil. The \"fever\" of hunting had taken possession of him. \n\n\"We'll not find much in this neighborhood,\" said Dave. \"But I am willing to go a little further,\" he added, seeing how disappointed the shipowner's son looked. \n\nPlacing the game over their shoulders, they reloaded their weapons and continued on through the forest, taking a trail that seemed to have been made by wild animals. Twice they had to cross a winding brook, and at the second fording-place Dave, who was in the rear, called a halt. \n\n\"What do you want?\" questioned Roger, as he and Phil turned back. \n\n\"I want you to look at these hoofmarks,\" answered Dave, and he pointed up the stream a short distance. \n\nAll passed to the locality indicated, and each youth looked at the hoofmarks with interest. They were made by a number of horses, probably six or eight, and though the marks were washed a little, as if by rain, they could still be plainly seen. \n\n\"Do you think they were made by the horses that were stolen, Dave?\" questioned Phil. \n\n\"I don't know what to think.\" \n\n\"The horse-thieves might easily have come this way,\" said the senator's son. \"They would be more apt to go away from the ranch than towards it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6541\": \"What are they doing?\"\n },\n {\n \"6542\": \"Who was happy with the game they'd caught?\"\n },\n {\n \"6543\": \"Who wanted to continue hunting?\"\n },\n {\n \"6544\": \"Why couldn't they continue to do so there?\"\n },\n {\n \"6545\": \"What was Phil's reaction to this?\"\n },\n {\n \"6546\": \"Who was not happy they couldn't continue to hunt there?\"\n },\n {\n \"6547\": \"What did they decide to do?\"\n },\n {\n \"6548\": \"Who called for the others to stop?\"\n },\n {\n \"6549\": \"What had he found?\"\n },\n {\n \"6550\": \"What did Phil question?\"\n },\n {\n \"6551\": \"Did the senator's son think they were?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6541\",\n \"answer\": \"Hunting\"\n },\n {\n \"question_id\": \"6542\",\n \"answer\": \"The boys\"\n },\n {\n \"question_id\": \"6543\",\n \"answer\": \"Roger\"\n },\n {\n \"question_id\": \"6544\",\n \"answer\": \"They won't be able to find much in that neighborhood\"\n },\n {\n \"question_id\": \"6545\",\n \"answer\": \"He wanted to get some more.\"\n },\n {\n \"question_id\": \"6546\",\n \"answer\": \"The shipowner's son\"\n },\n {\n \"question_id\": \"6547\",\n \"answer\": \"To go a little further.\"\n },\n {\n \"question_id\": \"6548\",\n \"answer\": \"Dave.\"\n },\n {\n \"question_id\": \"6549\",\n \"answer\": \"Hoofmarks\"\n },\n {\n \"question_id\": \"6550\",\n \"answer\": \"Whether the stolen horses had made them.\"\n },\n {\n \"question_id\": \"6551\",\n \"answer\": \"The horse-thieves\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII. \n\nBLANK PAPER. \n\nEarly in October Captain Marrable was called up to town by letters from Messrs. Block and Curling, and according to promise wrote various letters to Mary Lowther, telling her of the manner in which his business progressed. All of these letters were shown to Aunt Sarah,--and would have been shown to Parson John were it not that Parson John declined to read them. But though the letters were purely cousinly,--just such letters as a brother might write,--yet Miss Marrable thought that they were dangerous. She did not say so; but she thought that they were dangerous. Of late Mary had spoken no word of Mr. Gilmore; and Aunt Sarah, through all this silence, was able to discover that Mr. Gilmore's prospects were not becoming brighter. Mary herself, having quite made up her mind that Mr. Gilmore's prospects, so far as she was concerned, were all over, could not decide how and when she should communicate the resolve to her lover. According to her present agreement with him, she was to write to him at once should she accept any other offer; and was to wait for six months if this should not be the case. Certainly, there was no rival in the field, and therefore she did not quite know whether she ought or ought not to write at once in her present circumstances of assured determination. She soon told herself that in this respect also she would go to her new-found brother for advice. She would ask him, and do just as he might bid her. Had he not already proved how fit a person he was to give advice on such a subject? \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87781\": \"Who saw all the notes?\"\n },\n {\n \"87782\": \"Did anyone else see them?\"\n },\n {\n \"87783\": \"Why not?\"\n },\n {\n \"87784\": \"When did the notes come?\"\n },\n {\n \"87785\": \"Who went to get them?\"\n },\n {\n \"87786\": \"From?\"\n },\n {\n \"87787\": \"Did anyone this they were unsafe?\"\n },\n {\n \"87788\": \"Who?\"\n },\n {\n \"87789\": \"Were they overtly unsafe?\"\n },\n {\n \"87790\": \"Who went to a sibling for help?\"\n },\n {\n \"87791\": \"About what?\"\n },\n {\n \"87792\": \"To whom?\"\n },\n {\n \"87793\": \"Was she upset he had been married?\"\n },\n {\n \"87794\": \"How long was she to hold off if she remained single?\"\n },\n {\n \"87795\": \"And if she was engaged?\"\n },\n {\n \"87796\": \"Was there a big change she would become engaged?\"\n },\n {\n \"87797\": \"Would she ultimately follow her sibling's suggestion?\"\n },\n {\n \"87798\": \"Why?\"\n },\n {\n \"87799\": \"How many times did she cry trying to figure this all out?\"\n },\n {\n \"87800\": \"Did Marrable sway her decision?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87781\",\n \"answer\": \"Aunt Sarah\"\n },\n {\n \"question_id\": \"87782\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"87783\",\n \"answer\": \"because Parson John declined to read them\"\n },\n {\n \"question_id\": \"87784\",\n \"answer\": \"Early in October\"\n },\n {\n \"question_id\": \"87785\",\n \"answer\": \"Captain Marrable\"\n },\n {\n \"question_id\": \"87786\",\n \"answer\": \"Messrs\"\n },\n {\n \"question_id\": \"87787\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"87788\",\n \"answer\": \"Miss Marrable\"\n },\n {\n \"question_id\": \"87789\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"87790\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"87791\",\n \"answer\": \"she did not know whether she ought to write at once\"\n },\n {\n \"question_id\": \"87792\",\n \"answer\": \"Mr. Gilmore\"\n },\n {\n \"question_id\": \"87793\",\n \"answer\": \"We wasn't married\"\n },\n {\n \"question_id\": \"87794\",\n \"answer\": \"six months\"\n },\n {\n \"question_id\": \"87795\",\n \"answer\": \"she was to write to him at once\"\n },\n {\n \"question_id\": \"87796\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"87797\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"87798\",\n \"answer\": \"he had already proved how fit a person he was to give advice\"\n },\n {\n \"question_id\": \"87799\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87800\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles, California (CNN) -- A Los Angeles County grand jury has indicted the former city administrator of Vernon, California, an industrial city that borders scandal-plagued Bell, on three felony counts after an investigation into questionable business practices. \n\nCourt documents show that Donal O'Callaghan has been indicted on two counts of conflict of interest and a count of public officer crime related to the misappropriation of public funds. \n\nThe Los Angeles County District Attorney's Office says the counts against O'Callaghan, 54, involve an alleged misappropriation of more than $140,000. \n\n\"The law prevents public officials from making contracts the have a personal interest in and Mr. O'Callaghan made a contract that paid his wife money,\" said deputy District Attorney Max Huntsman. \"We're alleging he paid her more than $140,000.\" \n\nThe grand jury was looking into business deals between O'Callaghan and his wife, Kimberly McBride. \n\nAccording to Vernon city records, the city hired McBride in 2009 as a $40-per-hour consultant and for \"administrative account services.\" \n\n\"It's preposterous that he was indicted for the hiring of his wife, which was done with the knowledge and consent of the city attorney and the City Council of Vernon,\" defense lawyer Mark Werksman told CNN. \n\n\"We are seeing an overreaction and hysterical response to the scandal in neighboring Bell,\" he said. \"They are looking for examples of municipal government corruption behind every bush. But it isn't here.\" \n\nHuntsman disagreed with Werksman's contention. \n\n'I think it's a reaction to Vernon, which has a long history of criminal behavior by public officials. We heard complaints against Mister O'Callaghan, looked into the law and found a basis for the charges,\" Huntsman said. \"The fact that it coincides with criminal charges against officials in Bell has to do with raised public awareness about corruption in municipal governments.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91981\": \"What borders Bell?\"\n },\n {\n \"91982\": \"What is that?\"\n },\n {\n \"91983\": \"Where?\"\n },\n {\n \"91984\": \"How is Bell described?\"\n },\n {\n \"91985\": \"Who was indicted?\"\n },\n {\n \"91986\": \"On how many counts?\"\n },\n {\n \"91987\": \"For what?\"\n },\n {\n \"91988\": \"How much money was involved?\"\n },\n {\n \"91989\": \"What is his name?\"\n },\n {\n \"91990\": \"How old is he?\"\n },\n {\n \"91991\": \"Who did he hire?\"\n },\n {\n \"91992\": \"What is her name?\"\n },\n {\n \"91993\": \"When did that happen?\"\n },\n {\n \"91994\": \"Who is Max Huntsman?\"\n },\n {\n \"91995\": \"Who is Mark Werksman?\"\n },\n {\n \"91996\": \"Who did he talk to?\"\n },\n {\n \"91997\": \"What does Huntsman disagree with?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91981\",\n \"answer\": \"Vernon\"\n },\n {\n \"question_id\": \"91982\",\n \"answer\": \"An industrial city\"\n },\n {\n \"question_id\": \"91983\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"91984\",\n \"answer\": \"Scandal-plagued\"\n },\n {\n \"question_id\": \"91985\",\n \"answer\": \"The former city administrator\"\n },\n {\n \"question_id\": \"91986\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"91987\",\n \"answer\": \"Questionable business practices.\"\n },\n {\n \"question_id\": \"91988\",\n \"answer\": \"$140,000\"\n },\n {\n \"question_id\": \"91989\",\n \"answer\": \"Donal O'Callaghan\"\n },\n {\n \"question_id\": \"91990\",\n \"answer\": \"54\"\n },\n {\n \"question_id\": \"91991\",\n \"answer\": \"His wife\"\n },\n {\n \"question_id\": \"91992\",\n \"answer\": \"Kimberly McBride\"\n },\n {\n \"question_id\": \"91993\",\n \"answer\": \"2009\"\n },\n {\n \"question_id\": \"91994\",\n \"answer\": \"District Attorney\"\n },\n {\n \"question_id\": \"91995\",\n \"answer\": \"Defense lawyer\"\n },\n {\n \"question_id\": \"91996\",\n \"answer\": \"CNN.\"\n },\n {\n \"question_id\": \"91997\",\n \"answer\": \"Werksman's contention.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER LXI \n\nAfter throwing George Caresfoot into the bramble-bush, Arthur walked steadily back to the inn, where he arrived, quite composed in manner, at about half-past seven. Old Sam, the ostler, was in the yard, washing a trap. He went up to him, and asked when the next train started for London. \n\n\"There is one as leaves Roxham at nine o'clock, sir, and an uncommon fast one, I'm told. But you bean't a-going yet, be you, sir?\" \n\n\"Yes, have the gig ready in time to catch the train.\" \n\n\"Very good, sir. Been to the fire, I suppose sir?\" he went on, dimly perceiving that Arthur's clothes were torn. \"It were a fine place, it wore, and it did blaze right beautiful.\" \n\n\"No; what fire?\" \n\n\"Bless me, sir, didn't you see it last night?--why, Isleworth Hall, to be sure. It wore burnt right out, and all as was in it.\" \n\n\"Oh! How did it come to get burnt?\" \n\n\"Can't say, sir, but I did hear say how as Lady Bellamy was a-dining there last night along with the squire; the squire he went out somewhere, my lady she goes home, and the footman he goes to put out the lamp and finds the drawing-room a roaring fiery furnace, like as parson tells us on. But I don't know how that can be, for I heard how as the squire was a-dying, so 'taint likely that he was a-going out. But, lord, sir, folk in these parts do lie that uncommon, 'taint as it be when I was a boy. As like as no, he's no more dying than you are. Anyhow, sir, it all burned like tinder, and the only thing, so I'm told, as was saved was a naked stone statty of a girl with a chain round her wrists, as Jim Blakes, our constable, being in liquor, brought out in his arms, thinking how as it was alive, and tried to rewive it with cold water.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48480\": \"Where was the fire last night?\"\n },\n {\n \"48481\": \"Did it burn everything?\"\n },\n {\n \"48482\": \"Who was eating out there last night?\"\n },\n {\n \"48483\": \"With whom?\"\n },\n {\n \"48484\": \"Who went to put out a lamp?\"\n },\n {\n \"48485\": \"What did he find in the drawing-room?\"\n },\n {\n \"48486\": \"Who recounted this tale to Old Sam?\"\n },\n {\n \"48487\": \"Was any single thing saved from the blaze?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48480\",\n \"answer\": \"Isleworth Hall\"\n },\n {\n \"question_id\": \"48481\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48482\",\n \"answer\": \"Lady Bellamy\"\n },\n {\n \"question_id\": \"48483\",\n \"answer\": \"The squire\"\n },\n {\n \"question_id\": \"48484\",\n \"answer\": \"Footman\"\n },\n {\n \"question_id\": \"48485\",\n \"answer\": \"A roaring fiery furnace\"\n },\n {\n \"question_id\": \"48486\",\n \"answer\": \"Arthur\"\n },\n {\n \"question_id\": \"48487\",\n \"answer\": \"A girl\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Memphis is a city in the southwestern corner of the U.S. state of Tennessee and the county seat of Shelby County. The city is located on the fourth Chickasaw Bluff, south of the confluence of the Wolf and Mississippi rivers. \n\nMemphis had a population of 652,717 in 2016, making it the second largest city in the state of Tennessee after Nashville. The greater Memphis metropolitan area, including adjacent counties in Mississippi and Arkansas, had a 2014 population of 1,317,314. This makes Memphis the second-largest metropolitan area in Tennessee, surpassed by metropolitan Nashville. \n\nMemphis is the youngest of Tennessee's major cities, founded in 1819 as a planned city by a group of wealthy Americans including judge John Overton and future president Andrew Jackson. A resident of Memphis is referred to as a Memphian, and the Memphis region is known, particularly to media outlets, as Memphis and the Mid-South. \n\nOccupying a substantial bluff rising from the Mississippi River, the site of Memphis has been a natural location for human settlement by varying cultures over thousands of years. The area was known to be settled in the first millennium AD. by people of the Mississippian Culture, who had a network of communities throughout the Mississippi River Valley and its tributaries and built earthwork ceremonial and burial mounds. The historic Chickasaw Indian tribe, believed to be their descendants, later occupied the site. French explorers led by René-Robert Cavelier, Sieur de La Salle and Spanish explorer Hernando de Soto encountered the Chickasaw tribe in that area, in the 16th century.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37610\": \"Is Memphis the oldest of Tennessee's major cities?\"\n },\n {\n \"37611\": \"What county is it the county seat of?\"\n },\n {\n \"37612\": \"When was the area first settled?\"\n },\n {\n \"37613\": \"Where is the cuty located?\"\n },\n {\n \"37614\": \"What is it's population?\"\n },\n {\n \"37615\": \"Which is the name of the only city larger in it in the state of Tennessee?\"\n },\n {\n \"37616\": \"Who originally planned the city of Memphis?\"\n },\n {\n \"37617\": \"Can you name some of them?\"\n },\n {\n \"37618\": \"Which culture is known to have been settled in the area in the first millennium AD.\"\n },\n {\n \"37619\": \"What is a resident of Memphis known as?\"\n },\n {\n \"37620\": \"What is the greater metropolitan area's of the cities poplulation?\"\n },\n {\n \"37621\": \"Where did the network of the mississippian culture have a network of communities?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37610\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"37611\",\n \"answer\": \"Shelby County.\"\n },\n {\n \"question_id\": \"37612\",\n \"answer\": \"1819.\"\n },\n {\n \"question_id\": \"37613\",\n \"answer\": \"Southwestern corner of the state of Tennessee\"\n },\n {\n \"question_id\": \"37614\",\n \"answer\": \"652,717.\"\n },\n {\n \"question_id\": \"37615\",\n \"answer\": \"Nashville.\"\n },\n {\n \"question_id\": \"37616\",\n \"answer\": \"A group of wealthy Americans.\"\n },\n {\n \"question_id\": \"37617\",\n \"answer\": \"John Overton.\"\n },\n {\n \"question_id\": \"37618\",\n \"answer\": \"Mississippian.\"\n },\n {\n \"question_id\": \"37619\",\n \"answer\": \"A Memphian,\"\n },\n {\n \"question_id\": \"37620\",\n \"answer\": \"1,317,314\"\n },\n {\n \"question_id\": \"37621\",\n \"answer\": \"Mississippi River Valley.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII \n\nCHECK TO THE QUEEN \n\nHow long they stood thus, heart to heart, they themselves could never have said. The sound of many voices in the near distance roused them from their dream. Ursula started in alarm. \n\n\"Holy Virgin!\" she exclaimed under her breath, \"if it should be the Queen!\" \n\nBut Wessex held her tightly, and she struggled in vain. \n\n\"Nay! then let the whole Court see that I hold my future wife in my arms,\" he said proudly. \n\nBut with an agitated little cry she contrived to escape him. He seemed much amused at her nervousness; what had she to fear? was she not his own, to protect even from the semblance of ill? But Ursula, now fully awakened to ordinary, everyday surroundings, was fearful lest her own innocent little deception should be too crudely, too suddenly unmasked. \n\nShe had so earnestly looked forward to the moment when she would say to him that she in sooth was none other than Lady Ursula Glynde, the woman whom every conventionality had decreed that he should marry, and whom--because of these conventionalities--he had secretly but certainly disliked. \n\nHer woman's heart had already given her a clear insight into the character and the foibles of the man she loved. His passion for her now, sincere and great though it was, was partly dependent on that atmosphere of romance which his poetical temperament craved for, and which had surrounded the half-mysterious personality of exquisite, irresistible \"Fanny.\" \n\nInstinctively she dreaded the rough hand of commonplace, that ugly, coarse destroyer of poetic idylls. A few hastily uttered words might shatter in an hour the mystic shrine wherein Wessex had enthroned her. She had meant to tell him soon, to-morrow perhaps, perhaps only after a few days, but she wished to find her own time for this, when he knew her inner soul better, and the delicate cobwebs of this great love-at-first-sight had fallen away from his eyes. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99322\": \"Who is embracing?\"\n },\n {\n \"99323\": \"Is Ursula ready to stop?\"\n },\n {\n \"99324\": \"is Wessex?\"\n },\n {\n \"99325\": \"Why does she want free?\"\n },\n {\n \"99326\": \"Who is she worried might be coming?\"\n },\n {\n \"99327\": \"Does Wessex care?\"\n },\n {\n \"99328\": \"Does she get free?\"\n },\n {\n \"99329\": \"What's making her nervous?\"\n },\n {\n \"99330\": \"How does Wessex feel about her fears?\"\n },\n {\n \"99331\": \"Are they planing to get married?\"\n },\n {\n \"99332\": \"How does that make Wessex feel?\"\n },\n {\n \"99333\": \"Would their marriage be the traditional thing to do/\"\n },\n {\n \"99334\": \"Is she thinking that maybe he doesn't like her?\"\n },\n {\n \"99335\": \"What has she gotten a good picture of?\"\n },\n {\n \"99336\": \"What kind of love is he feeling?\"\n },\n {\n \"99337\": \"What does she think might get shattered?\"\n },\n {\n \"99338\": \"When does she want to talk to him about it?\"\n },\n {\n \"99339\": \"What are the possible days she might talk to him?\"\n },\n {\n \"99340\": \"What does she want him to learn about\"\n },\n {\n \"99341\": \"Where are they standing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99322\",\n \"answer\": \"Ursula and Wessex\"\n },\n {\n \"question_id\": \"99323\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99324\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99325\",\n \"answer\": \"she hears people\"\n },\n {\n \"question_id\": \"99326\",\n \"answer\": \"the Queen\"\n },\n {\n \"question_id\": \"99327\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99328\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99329\",\n \"answer\": \"her deception might be unmasked.\"\n },\n {\n \"question_id\": \"99330\",\n \"answer\": \"amused\"\n },\n {\n \"question_id\": \"99331\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99332\",\n \"answer\": \"proud\"\n },\n {\n \"question_id\": \"99333\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99334\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99335\",\n \"answer\": \"his character\"\n },\n {\n \"question_id\": \"99336\",\n \"answer\": \"ove-at-first-sight\"\n },\n {\n \"question_id\": \"99337\",\n \"answer\": \"the mystic shrine\"\n },\n {\n \"question_id\": \"99338\",\n \"answer\": \"in her own time for\"\n },\n {\n \"question_id\": \"99339\",\n \"answer\": \"tomorrow or a few days\"\n },\n {\n \"question_id\": \"99340\",\n \"answer\": \"her inner soul better\"\n },\n {\n \"question_id\": \"99341\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Bill McIntosh and Royce Wedding had been the best friends for 30 years. Now, living alone 12 miles east of the town, Bill earned his living by hunting foxes and rabbits. \n\n\"Coming to the football match this afternoon?\" Bill McIntosh asked 54-year-old Royce Wedding as they drank beer at the Eureka Hotel. Royce shook his head, \"I promised Mom I'd burn off the weeds in one of our fields.\" \"I'll give you a hand,\" Bill said. \n\nDriving slowly from the southern edge of the field, they worked their way upwind, leaving a line of burning weeds in their wake. Suddenly the fire was on them. Bill pushed open his door only to find himself thrown through the air, the gasoline tank exploded and the car jumped three feet off the ground. When it crashed back down Royce found himself unable to move. Bill lay where he fell. \"Royce!\" he cried, struggling to his feet and heading for the car. Pulling open the door, he seized Royce's arms through the smoke. \"I'm stuck,\" Royce said. \"Get yourself away!\" The fire bit at Bill's arms, face and legs, but he said, \"I'm not leaving you here.\" Now Bill pulled as hard as he could. Suddenly he fell backward. Royce was free and out of the car. \n\n\"What's the matter with that dog?\" said Vicky Wedding, Royce's mom. Shocked by noise behind her, she turned to see Bill leaning against the door. \n\nSix months after the fire, when Royce went out of hospital, he walked into the Eureka Hotel and bought Bill a beer.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85208\": \"How long did Bill Mcintosh and Royce Wedding been best friends?\"\n },\n {\n \"85209\": \"How far east of town did Bill live?\"\n },\n {\n \"85210\": \"How old was Royce?\"\n },\n {\n \"85211\": \"What exploded when Bill pushed oen his door?\"\n },\n {\n \"85212\": \"how did Bill earn his living?\"\n },\n {\n \"85213\": \"What was helping royce with?\"\n },\n {\n \"85214\": \"What did Royce say to bill because he was stuck from the accident?\"\n },\n {\n \"85215\": \"What did Bill and Royce do together at the Eureka hotel?\"\n },\n {\n \"85216\": \"How long did it take Royce to get out of the hospital after the fire?\"\n },\n {\n \"85217\": \"Did Bill get pull Royce free?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85208\",\n \"answer\": \"30 years\"\n },\n {\n \"question_id\": \"85209\",\n \"answer\": \"12 miles\"\n },\n {\n \"question_id\": \"85210\",\n \"answer\": \"54\"\n },\n {\n \"question_id\": \"85211\",\n \"answer\": \"gasoline tank e\"\n },\n {\n \"question_id\": \"85212\",\n \"answer\": \"hunting foxes and rabbits\"\n },\n {\n \"question_id\": \"85213\",\n \"answer\": \"burn off the weeds in one of our fields\"\n },\n {\n \"question_id\": \"85214\",\n \"answer\": \"Get yourself away!\"\n },\n {\n \"question_id\": \"85215\",\n \"answer\": \"drank beer\"\n },\n {\n \"question_id\": \"85216\",\n \"answer\": \"Six months\"\n },\n {\n \"question_id\": \"85217\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n He was a hero that saved two children from the jaws of a cougar . Standing barely 1.7 meters, the 22-year-old with black-frame glasses might pass more for a Chinese Harry Potter. Yet Shen Huigang is now getting recognition for his bravery in fighting off a cougar on Vancouver Island, Canada, during a family outing. Shen, also known as Ian, was then an exchange student. With him was a friend, Myles Hagar, and Hagar's two grandchildren. Silently and suddenly a cougar appeared out of nowhere. By the time they spotted the cat, it already had the head of 18-month-old Julien in its mouth. \"At first, my brain was nothing but blank,\" Shen recalled. \"But I believed I could get the child back.\" He gestured as if he were ready for a fight, and tried to scare the beast off with his bag. Hearing the noise Shen made, the animal dropped the baby and Hagar rushed to grab his grandson. But the animal didn't run, instead turned toward 3-year-old Iris standing beside Shen. \"Had Ian not been there, shouting at the cougar, remaining calm and standing firm, it would certainly have attacked Iris.\" Hagar recalled. They chased the animal back into the woods. \"We moved slowly to our vehicle as we waved our fists and bags, pretending to wrestle it,\" Shen said. \"The vehicle wasn't far away but it felt like it took us a century to travel the short journey.\" As Hagar drove for help, Shen held the heavily-bleeding boy in the passenger seat and calmly kept him awake by hugging and kissing him in case he would go into a coma . The boy was flown to a hospital nearby. Doctors later said his little skull had been punctured through to his brain in two places. Luckily, Julien made a full recovery. \"Any hesitation, even a second delay, would have resulted in certain death for Julien, but Ian was there...\" Hagar said. Following the incident, the story appeared on Canadian TV networks in every city, and in many small town newspapers---plus many US Internet news sites. The Royal Canadian Humane Association planned to give Shen a Canada Bravery Award, but it couldn't reach him because he had returned to China.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22938\": \"What is the 22-year old compared to?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22938\",\n \"answer\": \"a Chinese Harry Potter\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Ronaldinho plundered a hat-trick as AC Milan crushed 10-man Siena 4-0 on Sunday to close the gap on Serie A leaders Inter Milan to just six points and with the Milan derby to come next week. \n\nMilan also have a game in hand meaning they could potentially draw level with the four-in-a-row champions if they were to win next weekend's crunch clash. \n\nThe hosts started in determined mood following Inter's 2-2 draw at Bari on Saturday and Ronaldinho took an Alessandro Nesta cross on his chest on three minutes before sending a spectacular overhead bicycle kick just off target. \n\nBut on 10 minutes the referee took the decision that essentially ended the game as a contest. \n\nJardim Brandao dithered on the ball in his own box and Marco Borriello dispossessed him before trying to go round goalkeeper Gianluca Curci. \n\nThere was minimal contact and Borriello crumpled to the ground but the striker's last touch had been too heavy and left him no chance of reaching the ball before a back-tracking defender. \n\nEven so, the referee pointed to the spot and showed Curci a straight red card. \n\nSubstitute goalkeeper Gianluca Pegolo's first task was to pick the ball out of his net. \n\nSiena battled on gamely, and on 26 minutes Massimo Maccarone escaped three defenders on the edge of the Milan box to bundle through before firing over on the stretch as Thiago Silva came across to put him under pressure. \n\nTwo minutes later the lead was doubled as Andrea Pirlo curled a cross into the near post and Borriello hooked a brilliant volley over his shoulder and into the top corner. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94872\": \"who did AC Milan crush?\"\n },\n {\n \"94873\": \"what was the score?\"\n },\n {\n \"94874\": \"is next weekends match important?\"\n },\n {\n \"94875\": \"was the bicycle kick on target?\"\n },\n {\n \"94876\": \"who was red carded?\"\n },\n {\n \"94877\": \"what did he do?\"\n },\n {\n \"94878\": \"whom did he contact?\"\n },\n {\n \"94879\": \"was the contact maximum?\"\n },\n {\n \"94880\": \"who went in for Curci?\"\n },\n {\n \"94881\": \"for what position?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94872\",\n \"answer\": \"Siena\"\n },\n {\n \"question_id\": \"94873\",\n \"answer\": \"4-0\"\n },\n {\n \"question_id\": \"94874\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"94875\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"94876\",\n \"answer\": \"Curci\"\n },\n {\n \"question_id\": \"94877\",\n \"answer\": \"last touch had been too heavy\"\n },\n {\n \"question_id\": \"94878\",\n \"answer\": \"Marco Borriello\"\n },\n {\n \"question_id\": \"94879\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"94880\",\n \"answer\": \"Gianluca Pegolo\"\n },\n {\n \"question_id\": \"94881\",\n \"answer\": \"goalkeeper\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Seed of Kindness Jim, a successful businessman, told the experience of his childhood. When he was 12, his parents died. He was alone and didn't get on well with others. People always laughed at him. No one showed kindness to him. His only friend was a dog named Tige. He gave his dog enough to eat and drink, but sometimes he was not polite to it. He didn't know that an unkind work sometimes could cut one's heart like a knife. One day as he walked down the street, a young lady was walking in front of him. Suddenly one of her bags dropped from her arms. As she stopped to pick it up, she dropped other bags. He came to help her.\"Thank you, dear! You are a nice little boy!\"she said kindly, smiling. A special feeling came to him. These were the first kind words he had ever heard. He watched her until she went far away, and then he whistled to his dog happily and went directly to the river nearby. \"Thank you, dear! You are a nice little boy!\"he repeatedthe woman's words. Then in a low voice he said to his dog,\"You are a nice little dog!\"Tige raised its ears as if it understood. \"Uhum! Even a dog likes it!\"he said,\"Well, Tige, I won't say unkind words to you anymore.\"Tige waved its tail happily. The boy thought and thought. Finally he looked at himself in the river. He saw nothing but a dirty boy. He washed his face carefully. Again he looked. He saw a clean nice boy. He was amazed. From then on, he had a new life. After telling this, the businessman stopped for a while, and then he said,\"Ladies and gentlemen, this is the very place where that kind woman planted in me the first seed of kindness. All of us should learn about kindness. What a great powerit has!\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35191\": \"What is Jim's career?\"\n },\n {\n \"35192\": \"True or False: Jim had many friends.\"\n },\n {\n \"35193\": \"How many friends did he have?\"\n },\n {\n \"35194\": \"What was the friend's name?\"\n },\n {\n \"35195\": \"Were they human?\"\n },\n {\n \"35196\": \"What animal, then?\"\n },\n {\n \"35197\": \"What did Jim see the first time he looked in the river?\"\n },\n {\n \"35198\": \"Did he look again?\"\n },\n {\n \"35199\": \"What did he see then?\"\n },\n {\n \"35200\": \"What did the lady drop?\"\n },\n {\n \"35201\": \"True of False: Tige helped the lady.\"\n },\n {\n \"35202\": \"Who did, then?\"\n },\n {\n \"35203\": \"What did the lady call Jim?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35191\",\n \"answer\": \"businessman\"\n },\n {\n \"question_id\": \"35192\",\n \"answer\": \"False\"\n },\n {\n \"question_id\": \"35193\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"35194\",\n \"answer\": \"Tige\"\n },\n {\n \"question_id\": \"35195\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35196\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"35197\",\n \"answer\": \"a dirty boy\"\n },\n {\n \"question_id\": \"35198\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35199\",\n \"answer\": \"a clean nice boy.\"\n },\n {\n \"question_id\": \"35200\",\n \"answer\": \"one of her bags\"\n },\n {\n \"question_id\": \"35201\",\n \"answer\": \"False\"\n },\n {\n \"question_id\": \"35202\",\n \"answer\": \"Jim\"\n },\n {\n \"question_id\": \"35203\",\n \"answer\": \"a nice little boy\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- To a friend of more than 20 years, Manssor Arbabsiar was a man who liked to be called \"Jack\" and didn't seem to have strong views on politics or religion. \n\nTo U.S. authorities, the 56-year-old naturalized U.S. citizen is a suspect in an alleged Iranian plot to assassinate Saudi Arabia's ambassador to the United States. \n\n\"It was shocking because it didn't seem like he would be the type of person to do something like that,\" said Mitchel Hamauei, who said he met Arbabsiar through mutual Iranian friends. \n\n\"He was a happy go lucky guy, always joked around,\" Hamauei said. \"He had a really happy demeanor.\" \n\nHamauei, who runs a gyro and kebab restaurant in Corpus Christi, Texas, said the two were close enough that he attended the graduation of Arbabsiar's son. \n\n\"I know his wife and his son. They're very down-to-earth people,\" Hamauei said. \n\nThe two kept in touch even after Arbabsiar moved to Austin about four or five years ago. \n\n\"I saw him about a year ago. He came by the store to eat a sandwich.\" \n\nArbabsiar was a used car salesman, Hamauei said. Their conversations would be about \"life in general,\" he said. \"Nothing religious. Nothing political.\" \n\n\"He would go out and party,\" Hamauei said. \"As far as I know he never practiced religion.\" \n\nMartha Guerrero, Arbabsiar's estranged wife, told the Austin, Texas, station KVUE Tuesday that they've \"been separated for a long time\" and she doesn't know anything about his affairs. \n\nHowever, she believes he is innocent. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7228\": \"Who liked to be called something?\"\n },\n {\n \"7229\": \"What did he like to be called?\"\n },\n {\n \"7230\": \"Was he a very serious guy?\"\n },\n {\n \"7231\": \"How was he?\"\n },\n {\n \"7232\": \"Was he really opinionated about politics?\"\n },\n {\n \"7233\": \"Had he planned something?\"\n },\n {\n \"7234\": \"Did people suspect he was like that?\"\n },\n {\n \"7235\": \"What was the raction?\"\n },\n {\n \"7236\": \"What was his job like?\"\n },\n {\n \"7237\": \"Would he keep to himself at home?\"\n },\n {\n \"7238\": \"What would he do?\"\n },\n {\n \"7239\": \"Does he have any family?\"\n },\n {\n \"7240\": \"Who?\"\n },\n {\n \"7241\": \"Is he close to his wife?\"\n },\n {\n \"7242\": \"Is she convinced of his guilt?\"\n },\n {\n \"7243\": \"What does she think about this?\"\n },\n {\n \"7244\": \"Who did she talk to?\"\n },\n {\n \"7245\": \"What was her name?\"\n },\n {\n \"7246\": \"When did her husband come to Austin?\"\n },\n {\n \"7247\": \"Did his old friend still see him?\"\n },\n {\n \"7248\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7228\",\n \"answer\": \"Manssor Arbabsiar\"\n },\n {\n \"question_id\": \"7229\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"7230\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7231\",\n \"answer\": \"happy go lucky\"\n },\n {\n \"question_id\": \"7232\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7233\",\n \"answer\": \"to assassinate Saudi Arabia's ambassador to the United States.\"\n },\n {\n \"question_id\": \"7234\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7235\",\n \"answer\": \"shock\"\n },\n {\n \"question_id\": \"7236\",\n \"answer\": \"he was a used car salesman\"\n },\n {\n \"question_id\": \"7237\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7238\",\n \"answer\": \"go out and party,\"\n },\n {\n \"question_id\": \"7239\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7240\",\n \"answer\": \"a wife and son.\"\n },\n {\n \"question_id\": \"7241\",\n \"answer\": \"they are estranged\"\n },\n {\n \"question_id\": \"7242\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7243\",\n \"answer\": \"that he is innocent.\"\n },\n {\n \"question_id\": \"7244\",\n \"answer\": \"Austin, Texas, station KVUE\"\n },\n {\n \"question_id\": \"7245\",\n \"answer\": \"Martha Guerrero\"\n },\n {\n \"question_id\": \"7246\",\n \"answer\": \"about four or five years ago\"\n },\n {\n \"question_id\": \"7247\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7248\",\n \"answer\": \"about a year ago.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Computer security, also known as cybersecurity or IT security, is the protection of information systems from theft or damage to the hardware, the software, and to the information on them, as well as from disruption or misdirection of the services they provide. It includes controlling physical access to the hardware, as well as protecting against harm that may come via network access, data and code injection, and due to malpractice by operators, whether intentional, accidental, or due to them being tricked into deviating from secure procedures. \n\nDenial of service attacks are designed to make a machine or network resource unavailable to its intended users. Attackers can deny service to individual victims, such as by deliberately entering a wrong password enough consecutive times to cause the victim account to be locked, or they may overload the capabilities of a machine or network and block all users at once. While a network attack from a single IP address can be blocked by adding a new firewall rule, many forms of Distributed denial of service (DDoS) attacks are possible, where the attack comes from a large number of points – and defending is much more difficult. Such attacks can originate from the zombie computers of a botnet, but a range of other techniques are possible including reflection and amplification attacks, where innocent systems are fooled into sending traffic to the victim.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79910\": \"Who might try to stop people from using their service?\"\n },\n {\n \"79911\": \"What could be put in over and over incorrectly?\"\n },\n {\n \"79912\": \"What might this cause?\"\n },\n {\n \"79913\": \"What might they try to block?\"\n },\n {\n \"79914\": \"What is a technical term for securing computers?\"\n },\n {\n \"79915\": \"What is another?\"\n },\n {\n \"79916\": \"Is it only hardware that could be damaged?\"\n },\n {\n \"79917\": \"What else could be?\"\n },\n {\n \"79918\": \"Besides breaking or staling a computer what other harm could come to them?\"\n },\n {\n \"79919\": \"What are zombie computers part of?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79910\",\n \"answer\": \"Attackers\"\n },\n {\n \"question_id\": \"79911\",\n \"answer\": \"password\"\n },\n {\n \"question_id\": \"79912\",\n \"answer\": \"account to be locked\"\n },\n {\n \"question_id\": \"79913\",\n \"answer\": \"block all users at once\"\n },\n {\n \"question_id\": \"79914\",\n \"answer\": \"cybersecurity\"\n },\n {\n \"question_id\": \"79915\",\n \"answer\": \"Computer security\"\n },\n {\n \"question_id\": \"79916\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79917\",\n \"answer\": \"software\"\n },\n {\n \"question_id\": \"79918\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79919\",\n \"answer\": \"a botnet\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\nI experienced a great surprise a few mornings afterwards. I had risen quite early, and found the Celebrity's man superintending the hoisting of luggage on top of a van. \n\n\"Is your master leaving?\" I asked. \n\n\"He's off to Mohair now, sir,\" said the valet, with a salute. \n\nAt that instant the Celebrity himself appeared. \n\n\"Yes, old chap, I'm off to Mohair,\" he explained. \"There's more sport in a day up there than you get here in a season. Beastly slow place, this, unless one is a deacon or a doctor of divinity. Why don't you come up, Crocker? Cooke would like nothing better; he has told me so a dozen times.\" \n\n\"He is very good,\" I replied. I could not resist the temptation to add, \"I had an idea Asquith rather suited your purposes just now.\" \n\n\"I don't quite understand,\" he said, jumping at the other half of my meaning. \n\n\"Oh, nothing. But you told me when you came here, if I am not mistaken, that you chose Asquith because of those very qualities for which you now condemn it.\" \n\n\"Magna est vis consuetudinis,\" he laughed; \"I thought I could stand the life, but I can't. I am tired of their sects and synods and sermons. By the way,\" said he pulling at my sleeve, \"what a deuced pretty girl that Miss Thorn is! Isn't she? Rollins, where's the cart? Well, good-bye, Crocker; see you soon.\" \n\nHe drove rapidly off as the clock struck six, and an uneasy glance he gave the upper windows did not escape me. When Farrar appeared, I told him what had happened. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42197\": \"Which chapter is this?\"\n },\n {\n \"42198\": \"What emotion did they have?\"\n },\n {\n \"42199\": \"When?\"\n },\n {\n \"42200\": \"Did they wake up late?\"\n },\n {\n \"42201\": \"Who did they find?\"\n },\n {\n \"42202\": \"What exactly?\"\n },\n {\n \"42203\": \"Where was someone going?\"\n },\n {\n \"42204\": \"When?\"\n },\n {\n \"42205\": \"Does he show up?\"\n },\n {\n \"42206\": \"What is he excited about there?\"\n },\n {\n \"42207\": \"Who does he invite?\"\n },\n {\n \"42208\": \"Who would enjoy this?\"\n },\n {\n \"42209\": \"How many times did he say so?\"\n },\n {\n \"42210\": \"What would suit him more?\"\n },\n {\n \"42211\": \"Does he get it?\"\n },\n {\n \"42212\": \"What does he say in Latin?\"\n },\n {\n \"42213\": \"Is he sad when he says it?\"\n },\n {\n \"42214\": \"What is he tired of?\"\n },\n {\n \"42215\": \"Who is nice to look at?\"\n },\n {\n \"42216\": \"What does he do at 6?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42197\",\n \"answer\": \"VII\"\n },\n {\n \"question_id\": \"42198\",\n \"answer\": \"a great surprise\"\n },\n {\n \"question_id\": \"42199\",\n \"answer\": \"a few mornings afterwards\"\n },\n {\n \"question_id\": \"42200\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42201\",\n \"answer\": \"the Celebrity's man superintending\"\n },\n {\n \"question_id\": \"42202\",\n \"answer\": \"hoisting of luggage on top of a van.\"\n },\n {\n \"question_id\": \"42203\",\n \"answer\": \"Mohair\"\n },\n {\n \"question_id\": \"42204\",\n \"answer\": \"that morning\"\n },\n {\n \"question_id\": \"42205\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42206\",\n \"answer\": \"That there is more sport up there than here.\"\n },\n {\n \"question_id\": \"42207\",\n \"answer\": \"Crocker\"\n },\n {\n \"question_id\": \"42208\",\n \"answer\": \"Cooke\"\n },\n {\n \"question_id\": \"42209\",\n \"answer\": \"a dozen\"\n },\n {\n \"question_id\": \"42210\",\n \"answer\": \"Asquith\"\n },\n {\n \"question_id\": \"42211\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42212\",\n \"answer\": \"\\\"Magna est vis consuetudinis\"\n },\n {\n \"question_id\": \"42213\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42214\",\n \"answer\": \"their sects and synods and sermons\"\n },\n {\n \"question_id\": \"42215\",\n \"answer\": \"Miss Thorn\"\n },\n {\n \"question_id\": \"42216\",\n \"answer\": \"drove rapidly off\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n William Shakespeare is the most famous playwright . Although he died in 1616, people still go to see his plays. Among the most popular are Romeo and Juliet, A Midsummer Night's Dream and Hamlet -- the story of a prince who struggles to respond to the crimes around him. Shakespeare, who was born in 1564, was an actor as well as a writer. Most of his ideas for plays were taken from history, people's conversation, ancient stories, and also from other writers. He wrote not only about kings and queens and princes, but also about friends and ordinary people. He wrote about the cruelty of war and the bravery of heroes, as well as about jealousy, joy, hate, ambition and love. His stories live on. The tragedy Romeo and Juliet was reborn as the musical West Side Story and more recently as the movie Romeo and Juliet with the wonderful performance of Leonardo DiCaprio and Claire Danes. He invented a number of great characters: powerful magicians, thrilling witches, smart women and both wise and wicked men. He also invented some great phrases. If you've ever said, \"Oh, for goodness sake!\" you can thank Shakespeare for that. \"To be, or not to be: that is the question,\" Hamlet says. \"Good night, good night. Parting is such sweet sorrow, that I shall say good night till it is morrow,\" says Juliet to her Romeo. Don't be surprised if you don't understand everything when reading Shakespeare or watching one of his plays because the meanings of many words have changed over the years. And Shakespeare's characters speak in poetry, so their speeches can be complicated. It does help to find out a little bit about the story before reading a Shakespeare play. It's worth the effort. As Shakespeare wrote, \"All the world is a stage.\" And in his plays you'll find that an entire world is waiting for you.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37315\": \"What is one of Shakespeare's most popular plays?\"\n },\n {\n \"37316\": \"And another?\"\n },\n {\n \"37317\": \"And another?\"\n },\n {\n \"37318\": \"Did he do anything else besides writing?\"\n },\n {\n \"37319\": \"What?\"\n },\n {\n \"37320\": \"What was West Side Story based on?\"\n },\n {\n \"37321\": \"Who played Romeo in the movie?\"\n },\n {\n \"37322\": \"Who was Juliet?\"\n },\n {\n \"37323\": \"What is one commonly used phrase that came from Shakespeare?\"\n },\n {\n \"37324\": \"What's another one?\"\n },\n {\n \"37325\": \"Has the language used in Shakespeare stayed the same?\"\n },\n {\n \"37326\": \"When did Shakespeare die?\"\n },\n {\n \"37327\": \"When was he born?\"\n },\n {\n \"37328\": \"What is Hamlet about?\"\n },\n {\n \"37329\": \"Whhere did Shakespeare get his ideas?\"\n },\n {\n \"37330\": \"Did he always write about kings?\"\n },\n {\n \"37331\": \"What is one thing he also wrote about?\"\n },\n {\n \"37332\": \"Anything else?\"\n },\n {\n \"37333\": \"Did he write about war?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37315\",\n \"answer\": \"Hamlet\"\n },\n {\n \"question_id\": \"37316\",\n \"answer\": \"Romeo and Juliet\"\n },\n {\n \"question_id\": \"37317\",\n \"answer\": \"A Midsummer Night's Dream\"\n },\n {\n \"question_id\": \"37318\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37319\",\n \"answer\": \"an actor\"\n },\n {\n \"question_id\": \"37320\",\n \"answer\": \"Romeo and Juliet\"\n },\n {\n \"question_id\": \"37321\",\n \"answer\": \"Leonardo DiCaprio\"\n },\n {\n \"question_id\": \"37322\",\n \"answer\": \"Claire Danes\"\n },\n {\n \"question_id\": \"37323\",\n \"answer\": \"\\\"Oh, for goodness sake!\\\"\"\n },\n {\n \"question_id\": \"37324\",\n \"answer\": \"\\\"To be, or not to be: that is the question,\\\"\"\n },\n {\n \"question_id\": \"37325\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"37326\",\n \"answer\": \"1616\"\n },\n {\n \"question_id\": \"37327\",\n \"answer\": \"1564\"\n },\n {\n \"question_id\": \"37328\",\n \"answer\": \"a prince\"\n },\n {\n \"question_id\": \"37329\",\n \"answer\": \"history, conversation,stories, and other writers.\"\n },\n {\n \"question_id\": \"37330\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"37331\",\n \"answer\": \"ordinary people\"\n },\n {\n \"question_id\": \"37332\",\n \"answer\": \"jealousy, joy and hate\"\n },\n {\n \"question_id\": \"37333\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV. THE HUNTSFORD CROQUET. \n\n\n\n\"Une femme egoiste, non seulement de coeur, mais d'esprit, ne pent pas sortir d'elle-meme. Le moi est indelible chez elle. Une veritable egoiste ne sait meme pas etre fausse.\" --MME. E. DE GIRARDIN. \n\n\"I am come to prepare you,\" said Lady Keith, putting her arm into her brother's, and leading him into the peacock path. \"Mrs. Huntsford is on her way to call and make a dead set to get you all to a garden party.\" \n\n\"Then we are off to the Earlsworthy Woods.\" \n\n\"Nay, listen, Alick. I have let you alone and defended you for a whole month, but if you persist in shutting up you wife, people won't stand it.\" \n\n\"Which of us is the Mahometan?\" \n\n\"You are pitied! But you see it was a strong thing our appearing without our several incumbrances, and though an old married woman like me may do as she pleases, yet for a bridegroom of not three weeks' standing to resort to bazaars solus argues some weighty cause.\" \n\n\"And argues rightly.\" \n\n\"Then you are content to be supposed to have an unproduceably eccentric melancholy bride?\" \n\n\"Better they should think so than that she should be so. She has been victimized enough already to her mother's desire to save appearances.\" \n\n\"You do not half believe me, Alick, and this is really a very kind, thoughtful arrangement of Mrs. Huntsford's. She consulted me, saying there were such odd stories about you two that she was most anxious that Rachel should appear and confute them; and she thought that an out-of-door party like this would suit best, because it would be early, and Rachel could get away if she found it too much for her.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42041\": \"Who put her arm into her brother?\"\n },\n {\n \"42042\": \"Did she speak to him?\"\n },\n {\n \"42043\": \"What did she say?\"\n },\n {\n \"42044\": \"Where did she lead him?\"\n },\n {\n \"42045\": \"Who is on her way?\"\n },\n {\n \"42046\": \"To do what?\"\n },\n {\n \"42047\": \"Then where are they off to?\"\n },\n {\n \"42048\": \"Is he pitied?\"\n },\n {\n \"42049\": \"Is she an old married woman?\"\n },\n {\n \"42050\": \"Does she do as she pleases\"\n },\n {\n \"42051\": \"Did Mrs. Huntsford consult him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42041\",\n \"answer\": \"Lady Keith\"\n },\n {\n \"question_id\": \"42042\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42043\",\n \"answer\": \"\\\"I am come to prepare you, Mrs. Huntsford is on her way to call and make a dead set to get you all to a garden party.\\\"\"\n },\n {\n \"question_id\": \"42044\",\n \"answer\": \"into the peacock path\"\n },\n {\n \"question_id\": \"42045\",\n \"answer\": \"Mrs. Huntsford\"\n },\n {\n \"question_id\": \"42046\",\n \"answer\": \"get you all to a garden party.\"\n },\n {\n \"question_id\": \"42047\",\n \"answer\": \"Earlsworthy Woods\"\n },\n {\n \"question_id\": \"42048\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42049\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42050\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42051\",\n \"answer\": \"no, not him\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII \n\nSHOCKS ALL ROUND \n\nBillie had been standing near the wall, inspecting a portrait of the late Mr. Josiah Appleby, of which the kindest thing one can say is that one hopes it did not do him justice. She now shrank back against this wall, as if she were trying to get through it. The edge of the portrait's frame tilted her hat out of the straight, but in this supreme moment she did not even notice it. \n\n\"Er--how do you do?\" she said. \n\nIf she had not been an exceedingly pretty girl, one would have said that she spoke squeakily. The fighting spirit of the Bennetts, though it was considerable fighting spirit, had not risen to this emergency. It had ebbed out of her, leaving in its place a cold panic. She had seen this sort of thing in the movies--there was one series of pictures, \"The Dangers of Diana,\" where something of the kind had happened to the heroine in every reel--but she had not anticipated that it would ever happen to her; and consequently she had not thought out any plan for coping with such a situation. A grave error. In this world one should be prepared for everything, or where is one? \n\n\"I've brought the revolver,\" said Mr. Peters. \n\n\"So--so I see!\" said Billie. \n\nMr. Peters nursed the weapon affectionately in his hand. He was rather a shy man with women as a rule, but what Sam had told him about her being interested in his revolver had made his heart warm to this girl. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22863\": \"What did Billie not notice?\"\n },\n {\n \"22864\": \"by what?\"\n },\n {\n \"22865\": \"Where was the frame?\"\n },\n {\n \"22866\": \"was there a picture in the frame?\"\n },\n {\n \"22867\": \"whos?\"\n },\n {\n \"22868\": \"who had a fighting spirit?\"\n },\n {\n \"22869\": \"how was Billie feeling?\"\n },\n {\n \"22870\": \"what was she thinking about?\"\n },\n {\n \"22871\": \"what thing?\"\n },\n {\n \"22872\": \"did it have a name?\"\n },\n {\n \"22873\": \"which was?\"\n },\n {\n \"22874\": \"did she feel this was happening to her?\"\n },\n {\n \"22875\": \"what exactly?\"\n },\n {\n \"22876\": \"was she prepared?\"\n },\n {\n \"22877\": \"Who was she speaking with?\"\n },\n {\n \"22878\": \"what did he bring with him?\"\n },\n {\n \"22879\": \"did Billie know he was going to bring it?\"\n },\n {\n \"22880\": \"did she hask about it?\"\n },\n {\n \"22881\": \"who told Mr. Peters she was interested in it?\"\n },\n {\n \"22882\": \"how did Mr. Peters feel?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22863\",\n \"answer\": \"her hat was tilted\"\n },\n {\n \"question_id\": \"22864\",\n \"answer\": \"the portrait's frame\"\n },\n {\n \"question_id\": \"22865\",\n \"answer\": \"the wall\"\n },\n {\n \"question_id\": \"22866\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22867\",\n \"answer\": \"Mr. Josiah Appleby,\"\n },\n {\n \"question_id\": \"22868\",\n \"answer\": \"the Bennetts\"\n },\n {\n \"question_id\": \"22869\",\n \"answer\": \"panic\"\n },\n {\n \"question_id\": \"22870\",\n \"answer\": \"that she had seen this sort of thing before\"\n },\n {\n \"question_id\": \"22871\",\n \"answer\": \"in one series of pictures\"\n },\n {\n \"question_id\": \"22872\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22873\",\n \"answer\": \"The Dangers of Diana\"\n },\n {\n \"question_id\": \"22874\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22875\",\n \"answer\": \"something of the kind had happened to the heroine in every reel\"\n },\n {\n \"question_id\": \"22876\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22877\",\n \"answer\": \"Mr. Peters\"\n },\n {\n \"question_id\": \"22878\",\n \"answer\": \"revolver,\"\n },\n {\n \"question_id\": \"22879\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22880\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22881\",\n \"answer\": \"sam\"\n },\n {\n \"question_id\": \"22882\",\n \"answer\": \"made his heart warm\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jack Johnson is one of the most popular singer-songwriters in the world. Jack was born on May 18, 1975 in Hawaii. Being the son of a famous surfer, Jack naturally has an interest in surfing. Most of his life lessons were learned in the water. At the age of 17, Jack entered the finals of the Pineline Masters---the world's most famous surfing competition. Everyone thought Jack would become a professional surfer like his father. Unluckily, one month later, he had a deadly accident while surfing and was seriously hurt. Life is like a revolving door. When it closes, it also opens. Jack started to practice playing the guitar and write songs when he was staying in hospital. At first, his father thought Jack only did it for fun, but soon he was surprised at the great progress his son had made. When studying in the university, Jack didn't stop practicing his guitar skills. He played the guitar for school parties. He wrote songs and sang for his teachers and friends. They liked his songs. His first music album Brushfire Fairytalescame out in 2001. It was a great success. His second album,On and On, was much like his first one. They were filled with sweet, easy-going songs that everybody liked listening to. Later, Jack had lots of concerts in and out of America. He became popular all over the world. Jack had five albums by 2010 and more than 15 million copies of them were sold. His music doesn't fit into any of the popular music styles like pop, rock, R&B or hip-hop. It is more like fold music, played with a guitar and beautiful voice. When listening to his songs, you feel like lying on the beach enjoying the warm sunshine. Jack is a talent, though he himself says he is only a surfer who loves music. In his songs we can find his secret of success: Whatever happens in our lives, we have to accept it and do the best we can.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"457\": \"What did Jack's dad do for a living?\"\n },\n {\n \"458\": \"Did he surf also?\"\n },\n {\n \"459\": \"Did he do it competitively?\"\n },\n {\n \"460\": \"What competition did he enter?\"\n },\n {\n \"461\": \"At waht age?\"\n },\n {\n \"462\": \"What did he practice in college?\"\n },\n {\n \"463\": \"Did he play for others?\"\n },\n {\n \"464\": \"Were his pieces liked?\"\n },\n {\n \"465\": \"By who?\"\n },\n {\n \"466\": \"Is college where he first started playing?\"\n },\n {\n \"467\": \"Where did he start?\"\n },\n {\n \"468\": \"Why was he there?\"\n },\n {\n \"469\": \"Did he do anything else while there?\"\n },\n {\n \"470\": \"What?\"\n },\n {\n \"471\": \"When was his first album released?\"\n },\n {\n \"472\": \"What was its title?\"\n },\n {\n \"473\": \"What type of music does he play?\"\n },\n {\n \"474\": \"What does he think of himself as?\"\n },\n {\n \"475\": \"What is his secret?\"\n },\n {\n \"476\": \"Where is it found?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"457\",\n \"answer\": \"professional surfer\"\n },\n {\n \"question_id\": \"458\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"459\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"460\",\n \"answer\": \"the Pineline Masters\"\n },\n {\n \"question_id\": \"461\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"462\",\n \"answer\": \"guitar\"\n },\n {\n \"question_id\": \"463\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"464\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"465\",\n \"answer\": \"his teachers and friends\"\n },\n {\n \"question_id\": \"466\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"467\",\n \"answer\": \"in the hospital\"\n },\n {\n \"question_id\": \"468\",\n \"answer\": \"he had a accident\"\n },\n {\n \"question_id\": \"469\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"470\",\n \"answer\": \"he wrote songs\"\n },\n {\n \"question_id\": \"471\",\n \"answer\": \"2001\"\n },\n {\n \"question_id\": \"472\",\n \"answer\": \"Brushfire Fairytales\"\n },\n {\n \"question_id\": \"473\",\n \"answer\": \"fold music\"\n },\n {\n \"question_id\": \"474\",\n \"answer\": \"a surfer who loves music\"\n },\n {\n \"question_id\": \"475\",\n \"answer\": \"accepting whatever happens and doing the best we can\"\n },\n {\n \"question_id\": \"476\",\n \"answer\": \"In his songs\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVIII \n\nThe owlet loves the gloom of night, The lark salutes the day, The timid dove will coo at hand-- But falcons soar away. --_Song in Duo_. \n\nIn a country settled, like these states, by a people who fled their native land and much-loved firesides, victims of consciences and religious zeal, none of the decencies and solemnities of a Christian death are dispensed with, when circumstances will admit of their exercise. The good woman of the house was a strict adherent to the forms of the church to which she belonged; and having herself been awakened to a sense of her depravity, by the ministry of the divine who harangued the people of the adjoining parish, she thought it was from his exhortations only that salvation could be meted out to the short-lived hopes of Henry Wharton. Not that the kind-hearted matron was so ignorant of the doctrines of the religion which she professed, as to depend, theoretically, on mortal aid for protection; but she had, to use her own phrase, \"sat so long under the preaching of good Mr.----,\" that she had unconsciously imbibed a practical reliance on his assistance, for that which her faith should have taught her could come from the Deity alone. With her, the consideration of death was at all times awful, and the instant that the sentence of the prisoner was promulgated, she dispatched Caesar, mounted on one of her husband's best horses, in quest of her clerical monitor. This step had been taken without consulting either Henry or his friends; and it was only when the services of Caesar were required on some domestic emergency, that she explained the nature of his absence. The youth heard her, at first, with an unconquerable reluctance to admit of such a spiritual guide; but as our view of the things of this life becomes less vivid, our prejudices and habits cease to retain their influence; and a civil bow of thanks was finally given, in requital for the considerate care of the well-meaning woman. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20687\": \"What does the owlet love?\"\n },\n {\n \"20688\": \"What does the lark salute?\"\n },\n {\n \"20689\": \"What will the dove do?\"\n },\n {\n \"20690\": \"Is the dove shy?\"\n },\n {\n \"20691\": \"What does the falcon do?\"\n },\n {\n \"20692\": \"What was the woman of the house?\"\n },\n {\n \"20693\": \"Did she belong to the church?\"\n },\n {\n \"20694\": \"What happened to her?\"\n },\n {\n \"20695\": \"By who?\"\n },\n {\n \"20696\": \"Who did what?\"\n },\n {\n \"20697\": \"What did she think?\"\n },\n {\n \"20698\": \"To what?\"\n },\n {\n \"20699\": \"Was she cold hearted?\"\n },\n {\n \"20700\": \"What was she?\"\n },\n {\n \"20701\": \"What was the thought of death to her?\"\n },\n {\n \"20702\": \"All the time?\"\n },\n {\n \"20703\": \"What happened when the prisoner's sentence was made known?\"\n },\n {\n \"20704\": \"In search of what?\"\n },\n {\n \"20705\": \"What was he riding?\"\n },\n {\n \"20706\": \"Was it his worst horse?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20687\",\n \"answer\": \"the gloom of night\"\n },\n {\n \"question_id\": \"20688\",\n \"answer\": \"the day\"\n },\n {\n \"question_id\": \"20689\",\n \"answer\": \"coo at hand\"\n },\n {\n \"question_id\": \"20690\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20691\",\n \"answer\": \"soar away\"\n },\n {\n \"question_id\": \"20692\",\n \"answer\": \"a strict adherent to the forms of the church\"\n },\n {\n \"question_id\": \"20693\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20694\",\n \"answer\": \"She was awakened to a sense of her depravity\"\n },\n {\n \"question_id\": \"20695\",\n \"answer\": \"by the ministry of the divine\"\n },\n {\n \"question_id\": \"20696\",\n \"answer\": \"harangued the people of the adjoining parish\"\n },\n {\n \"question_id\": \"20697\",\n \"answer\": \"That it was from his exhortations only that salvation could be meted out\"\n },\n {\n \"question_id\": \"20698\",\n \"answer\": \"The short-lived hopes of Henry Wharton.\"\n },\n {\n \"question_id\": \"20699\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20700\",\n \"answer\": \"kind-hearted\"\n },\n {\n \"question_id\": \"20701\",\n \"answer\": \"awful\"\n },\n {\n \"question_id\": \"20702\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20703\",\n \"answer\": \"she dispatched Caesar\"\n },\n {\n \"question_id\": \"20704\",\n \"answer\": \"her clerical monitor.\"\n },\n {\n \"question_id\": \"20705\",\n \"answer\": \"one of her husband's horses\"\n },\n {\n \"question_id\": \"20706\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X \n\nAN ALIEN \n\nThe individual on the doorstep had fallen into slumber over his own knees. No greater air of prosperity clung about him than is conveyed by a rusty overcoat and wisps of cloth in place of socks. Shelton endeavoured to pass unseen, but the sleeper woke. \n\n\"Ah, it's you, monsieur!\" he said \"I received your letter this evening, and have lost no time.\" He looked down at himself and tittered, as though to say, \"But what a state I 'm in!\" \n\nThe young foreigner's condition was indeed more desperate than on the occasion of their first meeting, and Shelton invited him upstairs. \n\n\"You can well understand,\" stammered Ferrand, following his host, \"that I did n't want to miss you this time. When one is like this--\" and a spasm gripped his face. \n\n\"I 'm very glad you came,\" said Shelton doubtfully. \n\nHis visitor's face had a week's growth of reddish beard; the deep tan of his cheeks gave him a robust appearance at variance with the fit of, trembling which had seized on him as soon as he had entered. \n\n\"Sit down-sit down,\" said Shelton; \"you 're feeling ill!\" \n\nFerrand smiled. \"It's nothing,\" said he; \"bad nourishment.\" \n\nShelton left him seated on the edge of an armchair, and brought him in some whisky. \n\n\"Clothes,\" said Ferrand, when he had drunk, \"are what I want. These are really not good enough.\" \n\nThe statement was correct, and Shelton, placing some garments in the bath-room, invited his visitor to make himself at home. While the latter, then, was doing this, Shelton enjoyed the luxuries of self-denial, hunting up things he did not want, and laying them in two portmanteaus. This done, he waited for his visitor's return. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51749\": \"When was the letter received?\"\n },\n {\n \"51750\": \"Was the man from this country?\"\n },\n {\n \"51751\": \"What was he wearing?\"\n },\n {\n \"51752\": \"What was the mans name?\"\n },\n {\n \"51753\": \"Did he want to be seen?\"\n },\n {\n \"51754\": \"But was he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51749\",\n \"answer\": \"this evening\"\n },\n {\n \"question_id\": \"51750\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51751\",\n \"answer\": \"overcoat and cloth for socks\"\n },\n {\n \"question_id\": \"51752\",\n \"answer\": \"Shelton\"\n },\n {\n \"question_id\": \"51753\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51754\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Washington (CNN) -- A late evening meeting between President Barack Obama and the leaders of the House and Senate failed to reach agreement Wednesday on a spending plan to avert a government shutdown, but all the participants said progress was made and talks would continue. \n\nIf there is no deal by midnight Friday, when the current spending authorization measure expires, parts of the government will close down. \n\nObama called the 90-minute talks with House Speaker John Boehner, R-Ohio, and Senate Majority Leader Harry Reid, D-Nevada, \"constructive\" and he said they narrowed and clarified the outstanding issues. \n\n\"I remain confident that if we're serious about getting something done, we should be able to complete a deal and get it passed and avert a shutdown,\" Obama said in brief remarks to reporters. \"But it's going to require a sufficient sense of urgency from all parties involved\" to prevent a shutdown that \"could have real effects on everyday Americans.\" \n\nBoth Reid and Boehner told reporters in their own brief comments that the meeting made progress in narrowing their differences, and that their staffs would work through the night to try to reach further consensus. \n\n\"I have confidence we can get this done,\" said Reid, who criticized Boehner and Republicans earlier in the day for intransigence. \"We're not there yet.\" \n\nBoehner, standing next to Reid, said \"we do have some honest differences,\" and he emphasized there was no agreement on either a specific figure for spending cuts for the rest of the current fiscal year or on policy issues that the Republicans want included in the measure, such as specifically prohibiting funding for abortions. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89752\": \"When is the deadline?\"\n },\n {\n \"89753\": \"What will be out of time then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89752\",\n \"answer\": \"by midnight Friday,\"\n },\n {\n \"question_id\": \"89753\",\n \"answer\": \"when the current spending authorization measure expires\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John was an old man who lived in New York City. John used to work at the Post Office before he quit. John has a grandson named Timmy. Timmy came to visit John and brought his friends David, Roger, and Bill. John gave them each a glass of lemonade to drink. \n\nTimmy wanted his friends to try his grandfather's meat soup. John was known to be a good cook. He enjoyed cooking burgers, fish, pizza, and soup. John's meat soup was his favorite recipe. John asked his grandson to go to the store to buy the food. He wanted Timmy to buy some meat. Timmy took some money from John and went to Kroger. Timmy thought of buying ground beef, chicken, turkey, and sausage. He bought three pounds of ground beef. He took it back to John, who had started making the soup in his kitchen. \n\nJohn cooked the ground beef and added it to the soup. They let the soup cook for two hours and then John tested it to see if it was ready to eat. The soup tasted delicious. Timmy and his friends loved it and told John they would be back for more.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4197\": \"Where did the man live?\"\n },\n {\n \"4198\": \"What is his name?\"\n },\n {\n \"4199\": \"Where did he used to work?\"\n },\n {\n \"4200\": \"Why did he leave there?\"\n },\n {\n \"4201\": \"What is his grandkids name?\"\n },\n {\n \"4202\": \"Did he come to visit?\"\n },\n {\n \"4203\": \"Who did he bring with him?\"\n },\n {\n \"4204\": \"What were they given to quinch their thirst?\"\n },\n {\n \"4205\": \"What dish of his granddads did he want them to try?\"\n },\n {\n \"4206\": \"What was his most liked dish he made?\"\n },\n {\n \"4207\": \"WHere did he go to purchase the food?\"\n },\n {\n \"4208\": \"What did he get?\"\n },\n {\n \"4209\": \"What did he make with it?\"\n },\n {\n \"4210\": \"How long did it take to prepare?\"\n },\n {\n \"4211\": \"Was it good?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4197\",\n \"answer\": \"New York City\"\n },\n {\n \"question_id\": \"4198\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"4199\",\n \"answer\": \"at the Post Office\"\n },\n {\n \"question_id\": \"4200\",\n \"answer\": \"he quit\"\n },\n {\n \"question_id\": \"4201\",\n \"answer\": \"Timmy\"\n },\n {\n \"question_id\": \"4202\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4203\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"4204\",\n \"answer\": \"lemonade\"\n },\n {\n \"question_id\": \"4205\",\n \"answer\": \"meat soup\"\n },\n {\n \"question_id\": \"4206\",\n \"answer\": \"meat soup\"\n },\n {\n \"question_id\": \"4207\",\n \"answer\": \"the store\"\n },\n {\n \"question_id\": \"4208\",\n \"answer\": \"ground beef\"\n },\n {\n \"question_id\": \"4209\",\n \"answer\": \"the soup\"\n },\n {\n \"question_id\": \"4210\",\n \"answer\": \"two hours\"\n },\n {\n \"question_id\": \"4211\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In 1059, the right of electing the pope was reserved to the principal clergy of Rome and the bishops of the seven suburbicarian sees. In the 12th century the practice of appointing ecclesiastics from outside Rome as cardinals began, with each of them assigned a church in Rome as his titular church or linked with one of the suburbicarian dioceses, while still being incardinated in a diocese other than that of Rome.[citation needed] \n\nThe term cardinal at one time applied to any priest permanently assigned or incardinated to a church, or specifically to the senior priest of an important church, based on the Latin cardo (hinge), meaning \"principal\" or \"chief\". The term was applied in this sense as early as the ninth century to the priests of the tituli (parishes) of the diocese of Rome. The Church of England retains an instance of this origin of the title, which is held by the two senior members of the College of Minor Canons of St Paul's Cathedral.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60266\": \"How was it in 1059?\"\n },\n {\n \"60267\": \"Who elected the Pope in 1059?\"\n },\n {\n \"60268\": \"When did it change?\"\n },\n {\n \"60269\": \"What changed then?\"\n },\n {\n \"60270\": \"What is a cardinal?\"\n },\n {\n \"60271\": \"where does the name come from?\"\n },\n {\n \"60272\": \"Do other churches besides Catholic use it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60266\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"60267\",\n \"answer\": \"the principal clergy of Rome and select bishops\"\n },\n {\n \"question_id\": \"60268\",\n \"answer\": \"the 12th century\"\n },\n {\n \"question_id\": \"60269\",\n \"answer\": \"ecclesiastics were appointed from outside Rome as cardinals\"\n },\n {\n \"question_id\": \"60270\",\n \"answer\": \"the senior priest of an important church\"\n },\n {\n \"question_id\": \"60271\",\n \"answer\": \"the Latin cardo (hinge)\"\n },\n {\n \"question_id\": \"60272\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Steve Jobs made technology fun.The co-founder of Apple died last Wednesday at the age of fifty-six He had fought for years against cancer.Mourners gathered outside his house in Palo Alto, California, and Apple stores around the world. \n\nTim Bajarin, president of a high-tech research and consulting company, said \"If you actually look at a tech leader, they're really happy if they have one hit in their life.Steve Jobs has the Apple II, the Mac, the iPod, the iPhone, the iPad and Pixar.\" \n\nSteve Jobs was a college dropout.He was adopted by a machinist and his wife, an accountant.They supported his early interest in electronics. \n\nHe and his friend Steve Wozniak started Apple Computer--now just called Apple--in nineteen seventy-six.They stayed at the company until nineteen eighty-five.That year, Steve Wozniak returned to college and Steve Jobs left in a dispute with the chief executive. \n\nMr.Jobs then formed his own company, called NeXT Computer.He rejoined Apple in nineteen ninety-seven after it bought NeXT.He helped remake Apple from a business that was in bad shape then to one of the most valuable companies in the world today. \n\nSteve Wozniak, speaking on CNN, remembered his longtime friend as a \"great visionary and leader'' and a \"marketing genius \". \n\nPresident Obama said in a statement: \"By building one of the planet's most successful companies from his garage, _ .By making computers personal and putting the Internet in our pockets, he made the information revolution not only accessible, but intuitive and fun.\" \n\nDavid Carroll is a professor at Parsons School of Design in New York City.He says Steve Jobs not only revolutionized technology, he also revolutionized American business. \n\n\"The fact that he was able to redesign American commerce top to bottom and across is really stunning .He probably will be considered an industrial giant on the scale of Thomas Edison and Henry Ford, so one of the great[s] of all time.\" David Carroll said. \n\nSteve Jobs stepped down as Apple's chief executive in August because of his health.He died a day after the company released a new iPhone version that met with limited excitement.Apple's new chief, Tim Cook, will also have to deal with the new Kindle Fire tablet computer from Amazon.com.It costs less than half as much as an iPad but also does less.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44252\": \"When Steve Jobs died?\"\n },\n {\n \"44253\": \"How old was he?\"\n },\n {\n \"44254\": \"What was the cause?\"\n },\n {\n \"44255\": \"Did he ever graduate from college?\"\n },\n {\n \"44256\": \"Was he adopted as a child?\"\n },\n {\n \"44257\": \"By whom?\"\n },\n {\n \"44258\": \"Were they supportive to him?\"\n },\n {\n \"44259\": \"In what interest?\"\n },\n {\n \"44260\": \"After Apple what company he started?\"\n },\n {\n \"44261\": \"Did he rejoin Apple?\"\n },\n {\n \"44262\": \"How was the company's shape then?\"\n },\n {\n \"44263\": \"Did he improve the situation?\"\n },\n {\n \"44264\": \"Going back when he started that company?\"\n },\n {\n \"44265\": \"Who did he start Apple with?\"\n },\n {\n \"44266\": \"How long he stayed there?\"\n },\n {\n \"44267\": \"What his friend did then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44252\",\n \"answer\": \"last Wednesday\"\n },\n {\n \"question_id\": \"44253\",\n \"answer\": \"fifty-six\"\n },\n {\n \"question_id\": \"44254\",\n \"answer\": \"cancer\"\n },\n {\n \"question_id\": \"44255\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44256\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44257\",\n \"answer\": \"a machinist and his wife, an accountant\"\n },\n {\n \"question_id\": \"44258\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44259\",\n \"answer\": \"electronics\"\n },\n {\n \"question_id\": \"44260\",\n \"answer\": \"NeXT Computer\"\n },\n {\n \"question_id\": \"44261\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44262\",\n \"answer\": \"bad shape\"\n },\n {\n \"question_id\": \"44263\",\n \"answer\": \".He helped remake Apple\"\n },\n {\n \"question_id\": \"44264\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"44265\",\n \"answer\": \"Steve Wozniak\"\n },\n {\n \"question_id\": \"44266\",\n \"answer\": \"until nineteen eighty-five\"\n },\n {\n \"question_id\": \"44267\",\n \"answer\": \"returned to college\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Walter owns three Italian restaurants which are running very well in Rhode Island in America. Every day his restaurants welcome crowds of customers all over the world. He studied to be a cook, but he sees now that his success is the result of a lifetime education. When he opened his first restaurant, all of a sudden his schooling knowledge , the history of his family and his ethics of his father _ . It made him a person who studied and explored the secrets in the food business. Walter's learning never stops. He says \" The food business is one where you need to stay on top. Cooks should be trained. You have to keep on studying or you will be left behind.\" So he spent more time in reading. Every time he gets new ideas from the book, he brings them into his work. Walter also has a clear understanding about success. That is he would like to be remembered as a person who is creative, who believes in the Italian cooking culture in America. Food is like a bridge connecting to the past, to the family and to the country. He says \"Success to me is not how much money I make, but if at the end of the day I am able to make fifteen or twenty customers happy, I'm a happy man.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84780\": \"How does Walter want to be remembered?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84780\",\n \"answer\": \"as a person who is creative\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER SIXTEEN. \n\nARRIVAL IN POLOELAND. \n\nFortune, which had hitherto proved favourable to our brave explorers, did not desert them at the eleventh hour. \n\nSoon after their arrival at Refuge Island a fair wind sprang up from the south, and when the _Charity_ had been carefully patched and repaired, the kites were sent up and the voyage was continued. That day and night they spent again upon the boundless sea, for the island was soon left out of sight behind them, though the wind was not very fresh. \n\nTowards morning it fell calm altogether, obliging them to haul down the kites and take to the oars. \n\n\"It can't be far off now, Chingatok,\" said the Captain, who became rather impatient as the end drew near. \n\n\"Not far,\" was the brief reply. \n\n\"Land ho!\" shouted Benjy, about half-an-hour after that. \n\nBut Benjy was forced to admit that anxiety had caused him to take an iceberg on the horizon for land. \n\n\"Well, anyhow you must admit,\" said Benjy, on approaching the berg, \"that it's big enough for a fellow to mistake it for a mountain. I wonder what it's doing here without any brothers or sisters to keep it company.\" \n\n\"Under-currents brought it here, lad,\" said the Captain. \"You see, such a monster as that must go very deep down, and the warm under-current has not yet melted away enough of his base to permit the surface-current to carry him south like the smaller members of his family. He is still travelling north, but that won't last long. He'll soon become small enough to put about and go the other way. I never saw a bigger fellow than that, Benjy. Hayes, the American, mentions one which he measured, about 315 feet high, and nearly a mile long. It had been grounded for two years. He calculated that there must have been seven times as much of it below water as there was above, so that it was stranded in nearly half-a-mile depth of water. This berg cannot be far short of that one in size.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62870\": \"What did Benjy mistake for land?\"\n },\n {\n \"62871\": \"What caused that?\"\n },\n {\n \"62872\": \"What did Benjy say it was as big as to mistake it for?\"\n },\n {\n \"62873\": \"What did the Captain say brought it there?\"\n },\n {\n \"62874\": \"Did he call it a monster?\"\n },\n {\n \"62875\": \"What direction was the iceberg traveling?\"\n },\n {\n \"62876\": \"Would that be for a long or short time?\"\n },\n {\n \"62877\": \"What nationality was Hayes?\"\n },\n {\n \"62878\": \"Did the Captain say he ever seen an iceberg larger than the one they saw?\"\n },\n {\n \"62879\": \"How large was the one Hayes saw?\"\n },\n {\n \"62880\": \"What did not abandon them at the eleventh hour?\"\n },\n {\n \"62881\": \"What island did they arrive at?\"\n },\n {\n \"62882\": \"Did something spring up?\"\n },\n {\n \"62883\": \"What?\"\n },\n {\n \"62884\": \"From what direction?\"\n },\n {\n \"62885\": \"What was it like in the morning?\"\n },\n {\n \"62886\": \"What did they pull down?\"\n },\n {\n \"62887\": \"And take to what?\"\n },\n {\n \"62888\": \"Had the Charity undergone repairs?\"\n },\n {\n \"62889\": \"Did the trip go on after that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62870\",\n \"answer\": \"an iceberg\"\n },\n {\n \"question_id\": \"62871\",\n \"answer\": \"anxiety\"\n },\n {\n \"question_id\": \"62872\",\n \"answer\": \"a mountain\"\n },\n {\n \"question_id\": \"62873\",\n \"answer\": \"Under-currents\"\n },\n {\n \"question_id\": \"62874\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62875\",\n \"answer\": \"north\"\n },\n {\n \"question_id\": \"62876\",\n \"answer\": \"short\"\n },\n {\n \"question_id\": \"62877\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"62878\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62879\",\n \"answer\": \"about 315 feet high, and nearly a mile long.\"\n },\n {\n \"question_id\": \"62880\",\n \"answer\": \"Fortune\"\n },\n {\n \"question_id\": \"62881\",\n \"answer\": \"Refuge\"\n },\n {\n \"question_id\": \"62882\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62883\",\n \"answer\": \"a fair wind\"\n },\n {\n \"question_id\": \"62884\",\n \"answer\": \"south\"\n },\n {\n \"question_id\": \"62885\",\n \"answer\": \"it fell calm\"\n },\n {\n \"question_id\": \"62886\",\n \"answer\": \"the kites\"\n },\n {\n \"question_id\": \"62887\",\n \"answer\": \"oars\"\n },\n {\n \"question_id\": \"62888\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62889\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII. \n\nA DISCOVERY. \n\nWhile the boys were at work in this manner, Stuyvesant making his ladder, and Phonny his cage, they suddenly heard some one opening the door. Wallace came in. Phonny called out to him to shut the door as quick as possible. Wallace did so, while Phonny, in explanation of the urgency of his injunction in respect to the door, pointed up to the squirrel, which was then creeping along, apparently quite at his ease, upon one of the beams in the back part of the shop. \n\n\"Why, Bunny,\" said Wallace. \n\n\"His name is not Bunny,\" said Phonny. \"His name is Frink.\" \n\n\"Frink,\" repeated Wallace. \"Who invented that name?\" \n\n\"I don't know,\" replied Phonny, \"only Beechnut said that his name was Frink. See the cage I am making for him.\" \n\nWallace came up and looked at the cage. He stood a moment surveying it in silence. Then he turned toward Stuyvesant. \n\n\"And what is Stuyvesant doing?\" said he. \n\n\"He is making a ladder.\" \n\n\"What is it for, Stuyvesant?\" said Wallace. \n\n\"Why, it is to go upon the loft, in the hen-house,\" said Phonny, \"though I don't see what good it will do, to go up there.\" \n\n\"So it is settled, that _you_ are going to have the hen-house,\" said Wallace, looking toward Stuyvesant. \n\n\"Yes,\" said Stuyvesant. \n\nHere there was another long pause. Wallace was looking at the ladder. He observed how carefully Stuyvesant was making it. He saw that the cross-bars were all exactly of a length, and he knew that they must have been pretty accurately measured. While Wallace was looking on, Stuyvesant was measuring off the distances upon the side pieces of the ladder, so as to have the steps of equal length. Wallace observed that he did this all very carefully. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17418\": \"How many boys were at work?\"\n },\n {\n \"17419\": \"Which one entered the area last?\"\n },\n {\n \"17420\": \"What other creature was in the room?\"\n },\n {\n \"17421\": \"What was its name?\"\n },\n {\n \"17422\": \"Was Wallace building a ladder?\"\n },\n {\n \"17423\": \"Who will have the hen-house?\"\n },\n {\n \"17424\": \"When he enters does Wallace leave the door open?\"\n },\n {\n \"17425\": \"What is Phonny building?\"\n },\n {\n \"17426\": \"For who?\"\n },\n {\n \"17427\": \"Did Phonny give him his name?\"\n },\n {\n \"17428\": \"How did he know the name?\"\n },\n {\n \"17429\": \"Did Stuyvesant work in a careless manner?\"\n },\n {\n \"17430\": \"What was he doing at the end of the story?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17418\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"17419\",\n \"answer\": \"Wallace\"\n },\n {\n \"question_id\": \"17420\",\n \"answer\": \"squirrel,\"\n },\n {\n \"question_id\": \"17421\",\n \"answer\": \"Frink.\\\"\"\n },\n {\n \"question_id\": \"17422\",\n \"answer\": \"to go into the henhouse loft\"\n },\n {\n \"question_id\": \"17423\",\n \"answer\": \"Stuyvesant.\"\n },\n {\n \"question_id\": \"17424\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17425\",\n \"answer\": \"a cage\"\n },\n {\n \"question_id\": \"17426\",\n \"answer\": \"\\\"Ithe squirrel\"\n },\n {\n \"question_id\": \"17427\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17428\",\n \"answer\": \"Beechnut said\"\n },\n {\n \"question_id\": \"17429\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17430\",\n \"answer\": \"making the ladder side pieces\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n By the 1890s the profound effect of adrenal extracts on many different tissue types had been discovered, setting off a search both for the mechanism of chemical signalling and efforts to exploit these observations for the development of new drugs. The blood pressure raising and vasoconstrictive effects of adrenal extracts were of particular interest to surgeons as hemostatic agents and as treatment for shock, and a number of companies developed products based on adrenal extracts containing varying purities of the active substance. In 1897 John Abel of Johns Hopkins University identified the active principle as epinephrine, which he isolated in an impure state as the sulfate salt. Industrial chemist Jokichi Takamine later developed a method for obtaining epinephrine in a pure state, and licensed the technology to Parke Davis. Parke Davis marketed epinephrine under the trade name Adrenalin. Injected epinephrine proved to be especially efficacious for the acute treatment of asthma attacks, and an inhaled version was sold in the United States until 2011 (Primatene Mist). By 1929 epinephrine had been formulated into an inhaler for use in the treatment of nasal congestion.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11646\": \"Who isolated epinephrine?\"\n },\n {\n \"11647\": \"Was it pure?\"\n },\n {\n \"11648\": \"What form was it\"\n },\n {\n \"11649\": \"Did someone produce it in a pure state?\"\n },\n {\n \"11650\": \"Who?\"\n },\n {\n \"11651\": \"What was it used for?\"\n },\n {\n \"11652\": \"How was it used?\"\n },\n {\n \"11653\": \"Was there another way it was administered?\"\n },\n {\n \"11654\": \"How?\"\n },\n {\n \"11655\": \"What was the brand name?\"\n },\n {\n \"11656\": \"When could someone buy it in the US?\"\n },\n {\n \"11657\": \"Who else offered the drug?\"\n },\n {\n \"11658\": \"What was it called?\"\n },\n {\n \"11659\": \"What else was epinephrine used to treat?\"\n },\n {\n \"11660\": \"Starting when?\"\n },\n {\n \"11661\": \"What did people want to learn more about?\"\n },\n {\n \"11662\": \"Of what chemicals?\"\n },\n {\n \"11663\": \"Why?\"\n },\n {\n \"11664\": \"What did they want to make?\"\n },\n {\n \"11665\": \"What was an early usage of the chemicals?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11646\",\n \"answer\": \"John Abel\"\n },\n {\n \"question_id\": \"11647\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11648\",\n \"answer\": \"in an impure state\"\n },\n {\n \"question_id\": \"11649\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11650\",\n \"answer\": \"Jokichi Takamine\"\n },\n {\n \"question_id\": \"11651\",\n \"answer\": \"for the acute treatment of asthma attacks\"\n },\n {\n \"question_id\": \"11652\",\n \"answer\": \"it was injected\"\n },\n {\n \"question_id\": \"11653\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11654\",\n \"answer\": \"inhaled\"\n },\n {\n \"question_id\": \"11655\",\n \"answer\": \"Primatene Mis\"\n },\n {\n \"question_id\": \"11656\",\n \"answer\": \"until 2011\"\n },\n {\n \"question_id\": \"11657\",\n \"answer\": \"Parke Davis\"\n },\n {\n \"question_id\": \"11658\",\n \"answer\": \"Adrenalin\"\n },\n {\n \"question_id\": \"11659\",\n \"answer\": \"nasal congestion\"\n },\n {\n \"question_id\": \"11660\",\n \"answer\": \"1929\"\n },\n {\n \"question_id\": \"11661\",\n \"answer\": \"the mechanism of chemical signalling\"\n },\n {\n \"question_id\": \"11662\",\n \"answer\": \"adrenal extracts\"\n },\n {\n \"question_id\": \"11663\",\n \"answer\": \"they had a profound effect on many different tissue types\"\n },\n {\n \"question_id\": \"11664\",\n \"answer\": \"new drugs\"\n },\n {\n \"question_id\": \"11665\",\n \"answer\": \"blood pressure raising and vasoconstrictive effects\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII \n\nSAM ON THE ROAD \n\nThe next few days were very busy ones for Sam because he had a number of important classes to attend, and he was hard at work finishing his theme on \"Civilization in Ancient Central America.\" It was impossible to call on Grace, and so he did nothing to find out the truth about Chester Waltham because he did not wish to ask the girl about this over the telephone, nor did he see his way clear to expressing his thoughts on paper. \n\nSunday came and went, and Monday morning brought a letter to the youngest Rover which he read with much interest. It was from Belright Fogg, a long-winded and formal communication, in which the lawyer stated that he had been under medical treatment because of being hit in the head by a snowball thrown by Sam, and he demanded fifty dollars damages. If the same was not paid immediately, he stated that he would begin suit. \n\n\"Anything wrong, Sam?\" questioned Songbird, who was present while Sam was reading the letter. \"You look pretty serious.\" \n\n\"Read it for yourself, Songbird,\" was the reply, and Sam passed the communication over. \n\n\"Well, of all the gall!\" burst out the would-be poet of Brill. \"Fifty dollars! Of course you won't pay any such bill as this?\" \n\n\"Not so you can notice it,\" returned Sam, sharply. \"If he had sent me a bill for five dollars or less I might have let him have the money just to shut him up. But fifty dollars! Why, it's preposterous!\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35897\": \"Who is the story's main character?\"\n },\n {\n \"35898\": \"What is the title of his paper?\"\n },\n {\n \"35899\": \"What did he receive on Monday?\"\n },\n {\n \"35900\": \"Who sent it?\"\n },\n {\n \"35901\": \"What is his occupation?\"\n },\n {\n \"35902\": \"Why did he send the letter?\"\n },\n {\n \"35903\": \"What kind of damages?\"\n },\n {\n \"35904\": \"Why did he need that?\"\n },\n {\n \"35905\": \"Who hit him?\"\n },\n {\n \"35906\": \"Is Sam excited to pay him?\"\n },\n {\n \"35907\": \"Is there an amount Sam would be willing to pay?\"\n },\n {\n \"35908\": \"Does Sam's friend think he should pay?\"\n },\n {\n \"35909\": \"What was her name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35897\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"35898\",\n \"answer\": \"Civilization in Ancient Central America\"\n },\n {\n \"question_id\": \"35899\",\n \"answer\": \"a letter\"\n },\n {\n \"question_id\": \"35900\",\n \"answer\": \"Belright Fogg\"\n },\n {\n \"question_id\": \"35901\",\n \"answer\": \"lawyer\"\n },\n {\n \"question_id\": \"35902\",\n \"answer\": \"he demanded fifty dollars damages\"\n },\n {\n \"question_id\": \"35903\",\n \"answer\": \"medical treatment\"\n },\n {\n \"question_id\": \"35904\",\n \"answer\": \"being hit in the head by a snowball\"\n },\n {\n \"question_id\": \"35905\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"35906\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35907\",\n \"answer\": \"five dollars or less\"\n },\n {\n \"question_id\": \"35908\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35909\",\n \"answer\": \"Songbird\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The story of Juno and Lucas is one of the most touching stories about the amazing relationship between humans and their companion animals. \n\nJuno is a Belgian Malinois . The dog was beautiful but was given up by its owners, as they did not want to take on the responsibility. \n\nLucas, a little boy, had a strange illness, a condition that stops the body's ability to process enzymes .As his life continues, he will lose the ability to speak and his physical and mental abilities will degrade till he is left in a vegetative state. The average life expectancy for the patients is 15 years. \n\nChester, the boy's father, wanted his child to enjoy his life on earth as much as possible and looked into getting a service dog for the child. However, Lucas wasn't a good candidate due to his deteriorating abilities, not to mention the $15,000 cost of the animal. \n\nNot terrified by all of this, Chester looked into adopting a dog for his son. He found Juno on a website and drove two hours to meet her. Chester had worked with the breed in the police force and was familiar with how to train them. He put in patience and hard work, and trained Juno while allowing her to become accustomed to Lucas. Now, not only will Juno not leave Lucas' side, she is also helping with his illness. Chester said, \"She has the ability to notice his neurological changes. Now she reminds us when Lucas is about to have a seizure or if his oxygen levels drop really low. She has saved him several times.\" \n\nCompanion animals are beautiful things and they establish a bond that can't be described without experiences. I know that I held my adopted dog a little closer after hearing this story. There are a lot of dogs out there that need good homes and that won't be as lucky as Juno. So, if you think you're prepared, you should consider giving one a nice home.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21860\": \"What is the name of the story?\"\n },\n {\n \"21861\": \"is it a story about humans and their pets?\"\n },\n {\n \"21862\": \"Who is Lucas?\"\n },\n {\n \"21863\": \"is he sick?\"\n },\n {\n \"21864\": \"can he speak?\"\n },\n {\n \"21865\": \"how long may he live with his illness?\"\n },\n {\n \"21866\": \"who is his dad?\"\n },\n {\n \"21867\": \"did he get lucas a service dog?\"\n },\n {\n \"21868\": \"how much would a service animal cost?\"\n },\n {\n \"21869\": \"who is Juno?\"\n },\n {\n \"21870\": \"what kind of dog?\"\n },\n {\n \"21871\": \"is it ugly?\"\n },\n {\n \"21872\": \"who found Juno?\"\n },\n {\n \"21873\": \"where did he find the dog?\"\n },\n {\n \"21874\": \"who trained juno?\"\n },\n {\n \"21875\": \"has juno saved his son?\"\n },\n {\n \"21876\": \"how many times?\"\n },\n {\n \"21877\": \"are there pigs that need good homes?\"\n },\n {\n \"21878\": \"are there dogs that need good homes?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21860\",\n \"answer\": \"Juno and Lucas\"\n },\n {\n \"question_id\": \"21861\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21862\",\n \"answer\": \"a little boy\"\n },\n {\n \"question_id\": \"21863\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21864\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21865\",\n \"answer\": \"The average life expectancy is 15 years.\"\n },\n {\n \"question_id\": \"21866\",\n \"answer\": \"Chester\"\n },\n {\n \"question_id\": \"21867\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21868\",\n \"answer\": \"$15,000\"\n },\n {\n \"question_id\": \"21869\",\n \"answer\": \"A dog\"\n },\n {\n \"question_id\": \"21870\",\n \"answer\": \"Belgian Malinois .\"\n },\n {\n \"question_id\": \"21871\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21872\",\n \"answer\": \"Chester\"\n },\n {\n \"question_id\": \"21873\",\n \"answer\": \"on a website\"\n },\n {\n \"question_id\": \"21874\",\n \"answer\": \"Chester\"\n },\n {\n \"question_id\": \"21875\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21876\",\n \"answer\": \"several\"\n },\n {\n \"question_id\": \"21877\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"21878\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Rosa Brooks says \"keep calm and shut the bleep up.\" \n\nThe witty Foreign Policy writer is sick of what she calls \"self-indulgent vicarious trauma\" following the blasts at the marathon finish line in Boston last week, which killed three people, injured more than 100 and set off a manhunt that left an MIT cop dead. \n\n\"You don't need to keep changing your Facebook status to let us all know that you're still extremely shocked and sad about the Boston bombing,\" she wrote last week. \"Let's just stipulate that everyone is shocked and sad, except the perpetrators and some other scattered sociopaths.\" \n\nCNN iReport: Run for Boston \n\nPart of me loves her piece. It's a worthy critique of the faux-concern and needless commercialism that can grow out of tragedy. But I think Brooks is selling people short by writing that \"there just isn't much most ordinary people should do in immediate response to events such as the Boston bombings.\" \n\nThere's plenty to do, as runners have shown in the week since the bombing. Within hours of the blasts, people all over the world were lacing up their running shoes and going outside to run. It's a simple, selfish act. Some did it to clear their heads. Others to process what had just happened to fellow runners and those cheering them on. I did it because I felt like I just needed to do something. And I feel all the more compelled to keep training because of inspirational stories like those of Adrianne Haslet-Davis, a dance instructor who lost her foot in the bombing but vows to dance and run again. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48170\": \"what is the dancers name?\"\n },\n {\n \"48171\": \"does she do anything aside from dancing?\"\n },\n {\n \"48172\": \"what?\"\n },\n {\n \"48173\": \"was she hurt?\"\n },\n {\n \"48174\": \"what happened?\"\n },\n {\n \"48175\": \"where?\"\n },\n {\n \"48176\": \"was she in a competition when this occurred?\"\n },\n {\n \"48177\": \"what kind?\"\n },\n {\n \"48178\": \"did anyone die?\"\n },\n {\n \"48179\": \"more than 1 person?\"\n },\n {\n \"48180\": \"how many?\"\n },\n {\n \"48181\": \"was one of them a police officer?\"\n },\n {\n \"48182\": \"who did he work for?\"\n },\n {\n \"48183\": \"were other people hurt?\"\n },\n {\n \"48184\": \"how many?\"\n },\n {\n \"48185\": \"who is the author mentioned?\"\n },\n {\n \"48186\": \"what does she write about?\"\n },\n {\n \"48187\": \"is she clever?\"\n },\n {\n \"48188\": \"did she post on a social media site?\"\n },\n {\n \"48189\": \"did she talk about a social media site?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48170\",\n \"answer\": \"Adrianne Haslet-Davis,\"\n },\n {\n \"question_id\": \"48171\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48172\",\n \"answer\": \"run\"\n },\n {\n \"question_id\": \"48173\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48174\",\n \"answer\": \"lost her foot in the bombing\"\n },\n {\n \"question_id\": \"48175\",\n \"answer\": \"Boston\"\n },\n {\n \"question_id\": \"48176\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48177\",\n \"answer\": \"marathon\"\n },\n {\n \"question_id\": \"48178\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48179\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48180\",\n \"answer\": \"4 total\"\n },\n {\n \"question_id\": \"48181\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48182\",\n \"answer\": \"MIT\"\n },\n {\n \"question_id\": \"48183\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48184\",\n \"answer\": \"more than 100\"\n },\n {\n \"question_id\": \"48185\",\n \"answer\": \"Rosa Brooks\"\n },\n {\n \"question_id\": \"48186\",\n \"answer\": \"Foreign Policy\"\n },\n {\n \"question_id\": \"48187\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48188\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"48189\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XV. \n\nDuring the remainder of the day on which George had left Granpere, the hours did not fly very pleasantly at the Lion d'Or. Michel Voss had gone to his niece immediately upon his return from his walk, intending to obtain a renewed pledge from her that she would be true to her engagement. But he had been so full of passion, so beside himself with excitement, so disturbed by all that he had heard, that he had hardly waited with Marie long enough to obtain such pledge, or to learn from her that she refused to give it. He had only been able to tell her that if she hesitated about marrying Adrian she should never look upon his face again; and then without staying for a reply he had left her. He had been in such a tremor of passion that he had been unable to demand an answer. After that, when George was gone, he kept away from her during the remainder of the morning. Once or twice he said a few words to his wife, and she counselled him to take no farther outward notice of anything that George had said to him. 'It will all come right if you will only be a little calm with her,' Madame Voss had said. He had tossed his head and declared that he was calm;--the calmest man in all Lorraine. Then he had come to his wife again, and she had again given him some good practical advice. 'Don't put it into her head that there is to be a doubt,' said Madame Voss. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78257\": \"Who left Granpere?\"\n },\n {\n \"78258\": \"Did he had good time afterwards?\"\n },\n {\n \"78259\": \"Who is Granpere's uncle?\"\n },\n {\n \"78260\": \"Does Granpere have an aunt?\"\n },\n {\n \"78261\": \"Is Michel Voss related to Granpere?\"\n },\n {\n \"78262\": \"What he tried to get from his niece?\"\n },\n {\n \"78263\": \"Did he get that?\"\n },\n {\n \"78264\": \"Why?\"\n },\n {\n \"78265\": \"Was he overwhelmed?\"\n },\n {\n \"78266\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78257\",\n \"answer\": \"George\"\n },\n {\n \"question_id\": \"78258\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78259\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78260\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78261\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78262\",\n \"answer\": \"intending to obtain a renewed pledge from her that she would be true to her engagement.\"\n },\n {\n \"question_id\": \"78263\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78264\",\n \"answer\": \"he left her\"\n },\n {\n \"question_id\": \"78265\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78266\",\n \"answer\": \"But he had been so full of passion, so beside himself with excitement, so disturbed by all that he had heard\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Zhuyin fuhao (), Zhuyin (), Bopomofo (ㄅㄆㄇㄈ) or Mandarin Phonetic Symbols is the major Chinese transliteration system for Taiwanese Mandarin. It is also used to transcribe other Chinese languages, particularly other varieties of Standard Chinese and related Mandarin dialects, as well as Taiwanese Hokkien. \n\nThe first two are traditional terms, whereas Bopomofo is the colloquial term, also used by the ISO and Unicode. Consisting of 37 characters and four tone marks, it transcribes all possible sounds in Mandarin. Zhuyin was introduced in China by the Republican Government in the 1910s and used alongside the Wade-Giles system, which used a modified Latin alphabet. The Wade system was replaced by Hanyu Pinyin in 1958 by the Government of the People's Republic of China, and at the International Organization for Standardization (ISO) in 1982. Although Taiwan adopted Hanyu Pinyin as its official romanization system in 2009, Bopomofo is still an official transliteration system there and remains widely used as an educational tool and for electronic input methods. \n\nThe informal name \"Bopomofo\" is derived from the first four syllables in the conventional ordering of available syllables in Mandarin Chinese. The four Bopomofo characters () that correspond to these syllables are usually placed first in a list of these characters. The same sequence is sometimes used by other speakers of Chinese to refer to other phonetic systems.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9359\": \"How many characters does the Mandarin Phonetic Symbols system have?\"\n },\n {\n \"9360\": \"And how many tone marks?\"\n },\n {\n \"9361\": \"What are the traditional terms for the system?\"\n },\n {\n \"9362\": \"What is the colloquial term?\"\n },\n {\n \"9363\": \"What is the name derived from?\"\n },\n {\n \"9364\": \"What other languages is the system used to transcribe?\"\n },\n {\n \"9365\": \"Any Taiwanese languages?\"\n },\n {\n \"9366\": \"Which one?\"\n },\n {\n \"9367\": \"When was the system introduced?\"\n },\n {\n \"9368\": \"Was there another system used?\"\n },\n {\n \"9369\": \"What was it called?\"\n },\n {\n \"9370\": \"What type of alphabet did that system use?\"\n },\n {\n \"9371\": \"Is the system still used?\"\n },\n {\n \"9372\": \"When was it replaced?\"\n },\n {\n \"9373\": \"What was it replaced by?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9359\",\n \"answer\": \"37\"\n },\n {\n \"question_id\": \"9360\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"9361\",\n \"answer\": \"Zhuyin fuhao (), Zhuyin\"\n },\n {\n \"question_id\": \"9362\",\n \"answer\": \"Bopomofo\"\n },\n {\n \"question_id\": \"9363\",\n \"answer\": \"from the first four syllables in the conventional ordering of available syllables in Mandarin Chinese\"\n },\n {\n \"question_id\": \"9364\",\n \"answer\": \"other varieties of Standard Chinese\"\n },\n {\n \"question_id\": \"9365\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9366\",\n \"answer\": \"Hokkien\"\n },\n {\n \"question_id\": \"9367\",\n \"answer\": \"in the 1910s\"\n },\n {\n \"question_id\": \"9368\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9369\",\n \"answer\": \"the Wade-Giles system\"\n },\n {\n \"question_id\": \"9370\",\n \"answer\": \"a modified Latin alphabet\"\n },\n {\n \"question_id\": \"9371\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"9372\",\n \"answer\": \"1958 in China\"\n },\n {\n \"question_id\": \"9373\",\n \"answer\": \"Hanyu Pinyin\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Johnson went to Penquay for the weekend. He arrived there late on Friday evening. The landlady of the guest house, Mrs. Smith, answered the door and showed him to his room. Johnson was very tired and went straight to bed. He slept well and didn't wake up until nine o'clock the next morning. \n\nJohnson went downstairs for breakfast. Because there were no other guests, Mrs. Smith invited him to have breakfast with her family. Her only daughter, Catherine, about 13, was already sitting in the dining-room. Mrs. Smith went to the kitchen to prepare breakfast. Johnson noticed there were four places at the table and asked Catherine if there was another guest. Catherine told him that it was an empty place. And it used to be her father's place. Her father had been a fisherman. Three years before he had gone out in his boat, and had never returned. Her mother always kept that place for him and made his breakfast every morning. Catherine showed him his photo on the wall. Johnson said nothing, but looked very puzzled . At that moment Mrs. Smith returned. She served four cups of tea, and put one in the empty place. Looking at the empty chair, Johnson was more puzzled. \n\nSuddenly, Johnson heard footsteps outside the door and a tall man with a black beard walked into the room. Johnson looked scared. It was the man in the photo. He jumped up and ran out of the room. The man asked, \"What's the matter?\" Catherine said, \"I don't know. He's a guest from London. He's here because a tall man with a black beard tried to kill him.\" \"Catherine,\" the man said, \"have you been telling stories again?\" \"Stories, father? Me?\" the girl laughed.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14468\": \"where was the guest house?\"\n },\n {\n \"14469\": \"who was in charge there?\"\n },\n {\n \"14470\": \"who was visiting?\"\n },\n {\n \"14471\": \"when did he get there?\"\n },\n {\n \"14472\": \"for how long?\"\n },\n {\n \"14473\": \"What did he do when he arrived?\"\n },\n {\n \"14474\": \"why?\"\n },\n {\n \"14475\": \"did he have trouble sleeping?\"\n },\n {\n \"14476\": \"how many other guests were staying?\"\n },\n {\n \"14477\": \"who did he have breakfast with?\"\n },\n {\n \"14478\": \"who was the empty plate for?\"\n },\n {\n \"14479\": \"where is he?\"\n },\n {\n \"14480\": \"how did Johnson react when he came in?\"\n },\n {\n \"14481\": \"why was he scared?\"\n },\n {\n \"14482\": \"what was scary about him?\"\n },\n {\n \"14483\": \"who said that?\"\n },\n {\n \"14484\": \"why?\"\n },\n {\n \"14485\": \"was she joking?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14468\",\n \"answer\": \"Penquay\"\n },\n {\n \"question_id\": \"14469\",\n \"answer\": \"Mrs. Smith\"\n },\n {\n \"question_id\": \"14470\",\n \"answer\": \"Johnson\"\n },\n {\n \"question_id\": \"14471\",\n \"answer\": \"Friday evening\"\n },\n {\n \"question_id\": \"14472\",\n \"answer\": \"the weekend\"\n },\n {\n \"question_id\": \"14473\",\n \"answer\": \"went straight to bed\"\n },\n {\n \"question_id\": \"14474\",\n \"answer\": \"he was very tired\"\n },\n {\n \"question_id\": \"14475\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14476\",\n \"answer\": \"none\"\n },\n {\n \"question_id\": \"14477\",\n \"answer\": \"Catherine\"\n },\n {\n \"question_id\": \"14478\",\n \"answer\": \"her father\"\n },\n {\n \"question_id\": \"14479\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"14480\",\n \"answer\": \"He jumped up and ran out of the room\"\n },\n {\n \"question_id\": \"14481\",\n \"answer\": \"It was the man in the photo.\"\n },\n {\n \"question_id\": \"14482\",\n \"answer\": \"Three years before he had gone out in his boat, and had never returned.\"\n },\n {\n \"question_id\": \"14483\",\n \"answer\": \"Catherine\"\n },\n {\n \"question_id\": \"14484\",\n \"answer\": \"Johnson noticed there were four places at the table\"\n },\n {\n \"question_id\": \"14485\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One day, a pink moon was looking down at an empty sand land. Although the pink moon could see all the lizards and cacti in the empty sand land, nobody could see the moon! The pink moon felt so lonely. So, the pink moon called on the sun for help. The great sun was very busy high in the sky, for it was his job to shine over the sand land, and it was hard to get his attention. So the moon wiggled closer and closer to the sun every second. The second turned to hours as the pink moon inched toward his friend, slowly moving across the sky. Finally, the sun saw the moon and asked, \"Pink moon! What are you doing here? Don't you know the sky is my home during the day? Your time is coming soon enough. Look, I'm falling now toward my bed on the end of the earth...\" But the pink moon could not be stopped and kept moving toward the great sun. \"But great sun, I become so lonely during the day when your light is so bright the animals in the sand land can't see me. Please let me join your light during the day this once!\" By this time, the great sun and pink moon were only inches apart. The great sun said, \"Though by day you disappear, I always remember you are here. Come to me now. Stand in front of me, and show the sand land your shine!\" So the pink moon inched in front of the great sun. At first, covering part of the sun's circle, then more, then...a complete covering of the sun! The pink moon was shining with the power and light of the sun! All the lizards, cacti and every animal stood still in awe of the daytime pink moon! But at that time, the sun slipped away, saying \"Farewell, pink moon. We have to do this again!\" And so, every few years, the sun and moon come together to show the pink moon's is always with us, even in the day time .\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73353\": \"Who called the sun for help?\"\n },\n {\n \"73354\": \"Who was looking down at an empty sand land?\"\n },\n {\n \"73355\": \"Who could see the moon?\"\n },\n {\n \"73356\": \"How did the moon feel?\"\n },\n {\n \"73357\": \"Was the sun busy?\"\n },\n {\n \"73358\": \"What was his job?\"\n },\n {\n \"73359\": \"So what did the moon do then?\"\n },\n {\n \"73360\": \"Did the sun see the moon?\"\n },\n {\n \"73361\": \"What did the sun say at first?\"\n },\n {\n \"73362\": \"Did the moon keep moving closer?\"\n },\n {\n \"73363\": \"Why did she say she was coming closer?\"\n },\n {\n \"73364\": \"How far apart were they?\"\n },\n {\n \"73365\": \"Where did the sun say to come?\"\n },\n {\n \"73366\": \"Did the moon comer the sun completely?\"\n },\n {\n \"73367\": \"Who stood in awe of the daytime moon?\"\n },\n {\n \"73368\": \"What happened next?\"\n },\n {\n \"73369\": \"What did he say?\"\n },\n {\n \"73370\": \"So when do the come together now?\"\n },\n {\n \"73371\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73353\",\n \"answer\": \"the pink moon\"\n },\n {\n \"question_id\": \"73354\",\n \"answer\": \"the pink moon\"\n },\n {\n \"question_id\": \"73355\",\n \"answer\": \"nobody\"\n },\n {\n \"question_id\": \"73356\",\n \"answer\": \"lonely\"\n },\n {\n \"question_id\": \"73357\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73358\",\n \"answer\": \"to shine over the sand land\"\n },\n {\n \"question_id\": \"73359\",\n \"answer\": \"wiggled closer and closer to the sun\"\n },\n {\n \"question_id\": \"73360\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73361\",\n \"answer\": \"What are you doing here?\"\n },\n {\n \"question_id\": \"73362\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73363\",\n \"answer\": \"Because she was lonely and wanted to join in his light.\"\n },\n {\n \"question_id\": \"73364\",\n \"answer\": \"inches apart\"\n },\n {\n \"question_id\": \"73365\",\n \"answer\": \"in front of him\"\n },\n {\n \"question_id\": \"73366\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73367\",\n \"answer\": \"all the lizards, cacti and animals\"\n },\n {\n \"question_id\": \"73368\",\n \"answer\": \"the sun slipped away\"\n },\n {\n \"question_id\": \"73369\",\n \"answer\": \"that they would have to do it again\"\n },\n {\n \"question_id\": \"73370\",\n \"answer\": \"every few years\"\n },\n {\n \"question_id\": \"73371\",\n \"answer\": \"to show the moon is always with us\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Internet has greatly changed the way people communicate. But some teachers think the changes are not all for the better. \n\nEleanor Johnson, an English professor, thinks that text messaging has made students believe that it is far more acceptable than it actually is to just make terrible spelling and grammatical errors. And she says her students over the past several years have increasingly used less formal English in their writing. Words and phrases like \"guy\" and \"you know\" now appear in research papers. \n\nProfessor Johnson supposes there is a strong relationship between the rise of informal online communication and an increase in writing mistakes. But she says there may not be much scientific information, at least not yet. \n\nDavid Crystal, a British linguist , says the actively changing nature of the Internet makes it difficult to keep up-to-date in studying its effects. But he believes its influence on language is small. The main effect of the Internet on language is the way it has added to the expressive richness of language, providing language with a new set of communicative tools that haven't existed in the past. \n\nErin Jansen is founder of NetLingo.com, an online dictionary of the Internet and text messaging terms. She says the new technology has not changed existing language but has greatly added to its vocabulary. Basically it's freedom of expression. \n\nAnd what about those teachers who find these new kinds of mistakes in spelling and grammar in their students' work? What is her message to them? \n\nErin Jansen said, \"I am always on the students' side and won't get angry or upset about that. If it's helping the kids write more or communicate more, that's great. That's what teachers and educators want--to get kids communicating.\" \n\nBut Erin Jansen and David Crystal agree with Eleanor Johnson on at least one thing. Teachers need to make sure students understand the uses and rules of language.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18503\": \"What has greatly changed the way people communicate?\"\n },\n {\n \"18504\": \"Does everyone think these changes are all for the better?\"\n },\n {\n \"18505\": \"Who does not agree with the changes?\"\n },\n {\n \"18506\": \"What does she blame for the acceptance of spelling errors?\"\n },\n {\n \"18507\": \"What is one of the example phrases that has started appearing in research papers?\"\n },\n {\n \"18508\": \"What is David Crystal's occupation?\"\n },\n {\n \"18509\": \"And his nationality?\"\n },\n {\n \"18510\": \"Does he believe the internet's influence on language is large?\"\n },\n {\n \"18511\": \"What aspect of language does he believe it has added to?\"\n },\n {\n \"18512\": \"What website did Erin Jansen start?\"\n },\n {\n \"18513\": \"And does she believe that technology has changed existing language?\"\n },\n {\n \"18514\": \"Does she believe it has added to or subtracted from existing language?\"\n },\n {\n \"18515\": \"What freedom is this compared to?\"\n },\n {\n \"18516\": \"Do Erin Jansen and David Crystal agree with Professor Johnson on anything?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"18503\",\n \"answer\": \"The Internet\"\n },\n {\n \"question_id\": \"18504\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18505\",\n \"answer\": \"Eleanor Johnson\"\n },\n {\n \"question_id\": \"18506\",\n \"answer\": \"text messaging\"\n },\n {\n \"question_id\": \"18507\",\n \"answer\": \"guy\"\n },\n {\n \"question_id\": \"18508\",\n \"answer\": \"linguist\"\n },\n {\n \"question_id\": \"18509\",\n \"answer\": \"British\"\n },\n {\n \"question_id\": \"18510\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18511\",\n \"answer\": \"expressive richness\"\n },\n {\n \"question_id\": \"18512\",\n \"answer\": \"NetLingo.com\"\n },\n {\n \"question_id\": \"18513\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18514\",\n \"answer\": \"added\"\n },\n {\n \"question_id\": \"18515\",\n \"answer\": \"expression\"\n },\n {\n \"question_id\": \"18516\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nABOARD THE STEAM YACHT \n\nMr Rover, as well as Tom and Sam, had come in, and all were anxious to hear what Dick might have to report. They were filled with amazement at the story of the robbery. \n\n\"I thought I'd wait about telling the police until I had heard what you had to say,\" said Dick, to his father. \n\n\"I am afraid in a big city like New York it won't do much good to tell the police,\" answered Anderson Rover. \"However, we can report it to morrow. But I think Cuffer and Shelley will keep in the shade until they see Sid Merrick and have a chance to get away,\" and in this surmise Mr. Rover was correct. The matter was reported to the police, and that was the end of it, so far as the authorities went, for they failed to apprehend the evildoers. \n\nMr. Rover was much worried when he learned that Merrick had fallen in with a captain of a tramp vessel who was ready to go on a hunt for the treasure. And he was still more worried when Dick told him of the letters which had been abstracted from his coat pocket by the thieves. Among them was one from Mrs. Stanhope mentioning the treasure hunt and how she would be on hand at Philadelphia to board the steam yacht with Dora and the Lanings. \n\n\"If Cuffer and Shelley turn that letter over to Merrick it will give him some idea of our proposed trip,\" said Mr. Rover, \"and more than likely he will strain every nerve to get ahead of us.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99058\": \"Was a crime committed?\"\n },\n {\n \"99059\": \"What was it?\"\n },\n {\n \"99060\": \"Who was Anderson Rover?\"\n },\n {\n \"99061\": \"Who is Dick's father?\"\n },\n {\n \"99062\": \"Does he think it may be pointless to call the police?\"\n },\n {\n \"99063\": \"Does the crime get reported?\"\n },\n {\n \"99064\": \"Do the police arrest the criminals?\"\n },\n {\n \"99065\": \"who are they?\"\n },\n {\n \"99066\": \"What did they steal?\"\n },\n {\n \"99067\": \"Who wants the letters?\"\n },\n {\n \"99068\": \"Where were they stored?\"\n },\n {\n \"99069\": \"Who authored one of them?\"\n },\n {\n \"99070\": \"What did she talk about?\"\n },\n {\n \"99071\": \"How will they travel?\"\n },\n {\n \"99072\": \"Where will they get on?\"\n },\n {\n \"99073\": \"Who else will go?\"\n },\n {\n \"99074\": \"what will happen if he gets the letters?\"\n },\n {\n \"99075\": \"Why did Dick not call the police immediatly?\"\n },\n {\n \"99076\": \"How did the retelling of the crime make them feel?\"\n },\n {\n \"99077\": \"What town did it happen in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99058\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99059\",\n \"answer\": \"robbery.\"\n },\n {\n \"question_id\": \"99060\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"99061\",\n \"answer\": \"Mr. Rover\"\n },\n {\n \"question_id\": \"99062\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99063\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99064\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99065\",\n \"answer\": \"Cuffer and Shelley\"\n },\n {\n \"question_id\": \"99066\",\n \"answer\": \"letters\"\n },\n {\n \"question_id\": \"99067\",\n \"answer\": \"Merrick\"\n },\n {\n \"question_id\": \"99068\",\n \"answer\": \"his coat pocket\"\n },\n {\n \"question_id\": \"99069\",\n \"answer\": \"Mrs. Stanhope\"\n },\n {\n \"question_id\": \"99070\",\n \"answer\": \"the treasure hun\"\n },\n {\n \"question_id\": \"99071\",\n \"answer\": \"by steam yacht\"\n },\n {\n \"question_id\": \"99072\",\n \"answer\": \"Philadelphia\"\n },\n {\n \"question_id\": \"99073\",\n \"answer\": \"Dora and the Lanings.\"\n },\n {\n \"question_id\": \"99074\",\n \"answer\": \"he will try to get ahead\"\n },\n {\n \"question_id\": \"99075\",\n \"answer\": \"he was waiting to hear what his father had to say\"\n },\n {\n \"question_id\": \"99076\",\n \"answer\": \"they were amazed\"\n },\n {\n \"question_id\": \"99077\",\n \"answer\": \"New York\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII \n\nTHE LOSS OF THE RAFT \n\nIt was so dark under the trees that for the moment Snap did not recognize his chum. Then he uttered an exclamation of commingled wonder and alarm. \n\n\"Let go of him!\" he cried. \"Let go, I say!\" and he caught Ham Spink by the arm. \n\n\"Capture him, fellows!\" shouted Carl Dudder, and at once several of the Spink crowd fell upon Snap. \n\nBut Snap was not to be made a prisoner thus easily, and hitting out with all his might he sent Jack Voss reeling to the ground. Then he hit Ike Akley in the nose. \n\n\"Ouch!\" yelled Ike, and put up his hand, to withdraw it covered with blood. \"He has broken my nose!\" And he fell back in alarm. \n\nA rough and tumble struggle ensued, in which blows were given and taken freely. Snap was struck in the breast and in the cheek, but not seriously hurt. In the melee Shep managed to squirm free from those who held him and he quickly ranged up by his chum's side. \n\n\"What did you say about our outfit?\" he panted. \n\n\"We've got it,\" answered Snap. \"Come, we had better be going.\" \n\n\"Don't let them get away!\" yelled Ham Spink, and made a jab for Snap. But just then the doctor's son hit out desperately and the rich youth received a blow in the mouth that loosened two teeth and caused him to retreat in a hurry. \n\nFor the moment the enemy were disconcerted, and taking advantage of this, Snap and Shep started on a run through the dark forest, moving as swiftly as the condition of the ground would permit. The Spink crowd came after them, shouting to them to stop. Carl Dudder called out that he would shoot if they did not halt. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85247\": \"Who caught Snap?\"\n },\n {\n \"85248\": \"Who ordered them to do so?\"\n },\n {\n \"85249\": \"Whose nose got broken?\"\n },\n {\n \"85250\": \"Who broke it?\"\n },\n {\n \"85251\": \"Did he kick him in the nose?\"\n },\n {\n \"85252\": \"What did he do then?\"\n },\n {\n \"85253\": \"Who lost some teeth?\"\n },\n {\n \"85254\": \"How many?\"\n },\n {\n \"85255\": \"What friend was able to join Snap?\"\n },\n {\n \"85256\": \"Were did they run to?\"\n },\n {\n \"85257\": \"Who said he would shoot them?\"\n },\n {\n \"85258\": \"Did he actually have a gun?\"\n },\n {\n \"85259\": \"Did Snap get hit?\"\n },\n {\n \"85260\": \"Where?\"\n },\n {\n \"85261\": \"Was he badly hurt?\"\n },\n {\n \"85262\": \"Who did he knock down?\"\n },\n {\n \"85263\": \"Did he put much effort into doing this?\"\n },\n {\n \"85264\": \"How much?\"\n },\n {\n \"85265\": \"What is this chapter called?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85247\",\n \"answer\": \"The Spink crowd fell upon Snap\"\n },\n {\n \"question_id\": \"85248\",\n \"answer\": \"Carl Dudder\"\n },\n {\n \"question_id\": \"85249\",\n \"answer\": \"Ike\"\n },\n {\n \"question_id\": \"85250\",\n \"answer\": \"Snap\"\n },\n {\n \"question_id\": \"85251\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85252\",\n \"answer\": \"he hit him.\"\n },\n {\n \"question_id\": \"85253\",\n \"answer\": \"The doctor's son.\"\n },\n {\n \"question_id\": \"85254\",\n \"answer\": \"two teeth.\"\n },\n {\n \"question_id\": \"85255\",\n \"answer\": \"Shep\"\n },\n {\n \"question_id\": \"85256\",\n \"answer\": \"The dark forest.\"\n },\n {\n \"question_id\": \"85257\",\n \"answer\": \". Carl Dudder.\"\n },\n {\n \"question_id\": \"85258\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"85259\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"85260\",\n \"answer\": \"Breast and in the cheek\"\n },\n {\n \"question_id\": \"85261\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"85262\",\n \"answer\": \"Jack Voss\"\n },\n {\n \"question_id\": \"85263\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"85264\",\n \"answer\": \"All his might.\"\n },\n {\n \"question_id\": \"85265\",\n \"answer\": \"CHAPTER XXIII THE LOSS OF THE RAFT\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Grapes are a type of fruit that grow in clusters of 15 to 300, and can be crimson, black, dark blue, yellow, green, orange, and pink. \"White\" grapes are actually green in color, and are evolutionarily derived from the purple grape. Mutations in two regulatory genes of white grapes turn off production of anthocyanins, which are responsible for the color of purple grapes. Anthocyanins and other pigment chemicals of the larger family of polyphenols in purple grapes are responsible for the varying shades of purple in red wines. Grapes are typically an ellipsoid shape resembling a prolate spheroid. \n\nThe cultivation of the domesticated grape began 6,000–8,000 years ago in the Near East. Yeast, one of the earliest domesticated microorganisms, occurs naturally on the skins of grapes, leading to the innovation of alcoholic drinks such as wine. The earliest archeological evidence for a dominant position of wine-making in human culture dates from 8,000 years ago in Georgia. The oldest winery was found in Armenia, dating to around 4000 BC.[citation needed] By the 9th century AD the city of Shiraz was known to produce some of the finest wines in the Middle East. Thus it has been proposed that Syrah red wine is named after Shiraz, a city in Persia where the grape was used to make Shirazi wine.[citation needed] Ancient Egyptian hieroglyphics record the cultivation of purple grapes,[citation needed] and history attests to the ancient Greeks, Phoenicians, and Romans growing purple grapes for both eating and wine production[citation needed]. The growing of grapes would later spread to other regions in Europe, as well as North Africa, and eventually in North America.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73477\": \"What is Syrah named after?\"\n },\n {\n \"73478\": \"Where was that?\"\n },\n {\n \"73479\": \"What that a state?\"\n },\n {\n \"73480\": \"What color is it?\"\n },\n {\n \"73481\": \"What color is Syrah wine?\"\n },\n {\n \"73482\": \"What color are white grapes?\"\n },\n {\n \"73483\": \"And what are they derived from?\"\n },\n {\n \"73484\": \"What fruit grows in clusters?\"\n },\n {\n \"73485\": \"Of how many?\"\n },\n {\n \"73486\": \"What is their shape?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73477\",\n \"answer\": \"Shiraz\"\n },\n {\n \"question_id\": \"73478\",\n \"answer\": \"Persia\"\n },\n {\n \"question_id\": \"73479\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73480\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73481\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"73482\",\n \"answer\": \"green\"\n },\n {\n \"question_id\": \"73483\",\n \"answer\": \"from the purple grape\"\n },\n {\n \"question_id\": \"73484\",\n \"answer\": \"Grapes\"\n },\n {\n \"question_id\": \"73485\",\n \"answer\": \"15 to 300\"\n },\n {\n \"question_id\": \"73486\",\n \"answer\": \"ellipsoid\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo was sent off after inspiring Real Madrid to an incident-packed 4-2 victory at home to Almeria on Saturday night, in which he created a goal, scored one and also missed a penalty. \n\nThe world's most expensive player helped Real bounce back from last weekend's 1-0 \"El Clasico\" defeat to Barcelona as the big-spending capital outfit came back from 2-1 down in an explosive final 20 minutes. \n\nHowever, unbeaten Barca stayed five points clear at the top -- having played one more match -- with a 2-1 victory at Deportivo La Coruna as Lionel Messi scored twice. \n\nRonaldo, making his first appearance at the Bernabeu in two months following ankle problems, crossed for Sergio Ramos to head the opening goal in the 31st minute. \n\nHowever, Fernando Soriano leveled with a deflected shot in the 58th minute and Kalu Uche put lowly Almeria head just three minutes later as Real failed to clear a corner. \n\nThe hosts equalized with 17 minutes left as Argentina forward Gonzalo Higuain kept up his hot scoring run with a predatory finish after the Almeria defense did not deal with a cross from the left. \n\nWith eight minutes remaining, Ronaldo went down under the challenge of the onrushing Diego Alves, but the goalkeeper saved his resulting penalty -- however, Karim Benzema followed up to smash in the rebound to put Real ahead. \n\nRonaldo wrapped it up a minute later from Higuain's low cross, and was booked for tearing off his shirt to pose in front of his adoring fans. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12392\": \"Who did Ronaldo do at the end of the match?\"\n },\n {\n \"12393\": \"What was Ronaldo booked for?\"\n },\n {\n \"12394\": \"Why did he do that?\"\n },\n {\n \"12395\": \"What was the score on Saturday night?\"\n },\n {\n \"12396\": \"Who won?\"\n },\n {\n \"12397\": \"Were they the away team?\"\n },\n {\n \"12398\": \"Where did they play?\"\n },\n {\n \"12399\": \"What has Ronaldo been suffering from?\"\n },\n {\n \"12400\": \"Did he play on Saturday?\"\n },\n {\n \"12401\": \"Who won the weekend before?\"\n },\n {\n \"12402\": \"Had Barca lost any games?\"\n },\n {\n \"12403\": \"where were they playing?\"\n },\n {\n \"12404\": \"Who made two goals?\"\n },\n {\n \"12405\": \"How many minutes were left when Ronaldo went down?\"\n },\n {\n \"12406\": \"Where is Gonzalo Higuain from?\"\n },\n {\n \"12407\": \"What position does he play?\"\n },\n {\n \"12408\": \"Did he go on a scoring run?\"\n },\n {\n \"12409\": \"Did Ronaldo score on Saturday?\"\n },\n {\n \"12410\": \"Did he set someone up to score?\"\n },\n {\n \"12411\": \"Did he make his penalty shot?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12392\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"12393\",\n \"answer\": \"for tearing off his shirt\"\n },\n {\n \"question_id\": \"12394\",\n \"answer\": \"to pose in front of his adoring fans.\"\n },\n {\n \"question_id\": \"12395\",\n \"answer\": \"4-2\"\n },\n {\n \"question_id\": \"12396\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"12397\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12398\",\n \"answer\": \"Madrid\"\n },\n {\n \"question_id\": \"12399\",\n \"answer\": \"ankle problems,\"\n },\n {\n \"question_id\": \"12400\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12401\",\n \"answer\": \"Barcelona\"\n },\n {\n \"question_id\": \"12402\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12403\",\n \"answer\": \"Deportivo La Coruna\"\n },\n {\n \"question_id\": \"12404\",\n \"answer\": \"Real\"\n },\n {\n \"question_id\": \"12405\",\n \"answer\": \"eight minutes\"\n },\n {\n \"question_id\": \"12406\",\n \"answer\": \"Argentina\"\n },\n {\n \"question_id\": \"12407\",\n \"answer\": \"forward\"\n },\n {\n \"question_id\": \"12408\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12409\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12410\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12411\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II: The Jacobite Agent. \n\nSo twelve years passed. Ronald Leslie grew up a sturdy lad, full of fun and mischief in spite of the sober atmosphere of the bailie's house; and neither flogging at school nor lecturing at home appeared to have the slightest effect in reducing him to that state of sober tranquillity which was in Mrs. Anderson's eyes the thing to be most desired in boys. Andrew was less deeply shocked than his wife at the discovery of Ronald's various delinquencies, but his sense of order and punctuality was constantly outraged. He was, however, really fond of the lad; and even Mrs. Anderson, greatly as the boy's ways constantly disturbed and ruffled her, was at heart as fond of him as was her husband. She considered, and not altogether wrongly, that his wilderness, as she called it, was in no slight degree due to his association with her husband's brother. \n\nRonald looked forward to the periodical visits of the drover with intense longing. He was sure of a sympathetic listener in Malcolm, who listened with approval to the tales of the various scrapes into which he had got since his last visit; of how, instead of going to school, he had played truant and with another boy his own age had embarked in a fisherman's boat and gone down the river and had not been able to get back until next day; how he had played tricks upon his dominie, and had conquered in single combat the son of Councillor Duff, the butcher, who had spoken scoffing words at the Stuarts. Malcolm was, in fact, delighted to find, that in spite of repression and lectures his young charge was growing up a lad of spirit. He still hoped that some day Leslie might return, and he knew how horrified he would be were he to find that his son was becoming a smug and well conducted citizen. No small portion of his time on each of his visits to Glasgow Malcolm spent in training the boy in the use of arms. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80409\": \"Whose visits did Ronald look forward to?\"\n },\n {\n \"80410\": \"how often did he visit?\"\n },\n {\n \"80411\": \"he felt intense what?\"\n },\n {\n \"80412\": \"how long passed?\"\n },\n {\n \"80413\": \"what did Ronald grow up?\"\n },\n {\n \"80414\": \"his surname?\"\n },\n {\n \"80415\": \"he's full of?\"\n },\n {\n \"80416\": \"and\"\n },\n {\n \"80417\": \"despite what?\"\n },\n {\n \"80418\": \"where?\"\n },\n {\n \"80419\": \"was he punnished at school?\"\n },\n {\n \"80420\": \"how?\"\n },\n {\n \"80421\": \"was he physically beaten at home?\"\n },\n {\n \"80422\": \"what happened in place of physical punnishment?\"\n },\n {\n \"80423\": \"did it work?\"\n },\n {\n \"80424\": \"how should boys behave?\"\n },\n {\n \"80425\": \"who thought that?\"\n },\n {\n \"80426\": \"was her husband surprised?\"\n },\n {\n \"80427\": \"did he like the youngster?\"\n },\n {\n \"80428\": \"Who did his wife blame the kid's wild ways?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80409\",\n \"answer\": \"drover\"\n },\n {\n \"question_id\": \"80410\",\n \"answer\": \"periodically\"\n },\n {\n \"question_id\": \"80411\",\n \"answer\": \"in Malcolm\"\n },\n {\n \"question_id\": \"80412\",\n \"answer\": \"twelve years\"\n },\n {\n \"question_id\": \"80413\",\n \"answer\": \"sturdy lad\"\n },\n {\n \"question_id\": \"80414\",\n \"answer\": \"Leslie\"\n },\n {\n \"question_id\": \"80415\",\n \"answer\": \"fun\"\n },\n {\n \"question_id\": \"80416\",\n \"answer\": \"mischief\"\n },\n {\n \"question_id\": \"80417\",\n \"answer\": \"sober atmosphere\"\n },\n {\n \"question_id\": \"80418\",\n \"answer\": \"bailie's house\"\n },\n {\n \"question_id\": \"80419\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80420\",\n \"answer\": \"flogging\"\n },\n {\n \"question_id\": \"80421\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80422\",\n \"answer\": \"lecturing\"\n },\n {\n \"question_id\": \"80423\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80424\",\n \"answer\": \"sober tranquillity\"\n },\n {\n \"question_id\": \"80425\",\n \"answer\": \"Mrs. Anderson\"\n },\n {\n \"question_id\": \"80426\",\n \"answer\": \"not as much as herself\"\n },\n {\n \"question_id\": \"80427\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80428\",\n \"answer\": \"her husband's brother\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Bonaire (pronounced or ; , ; Papiamentu: \"Boneiru\") is an island in the Leeward Antilles in the Caribbean Sea. Together with Aruba and Curaçao, it forms the group known as the ABC islands, less than a hundred miles off the north coast of South America near the western part of Venezuela. Unlike much of the Caribbean region, the ABCs lie outside the hurricane belt. The islands have an arid climate, which helps tourism, as visitors to the islands can reliably expect warm, sunny weather. Bonaire is a popular destination for scuba diving, and easy access from shore to its fringing reefs. \n\nBonaire's capital is Kralendijk. The island has a permanent population of 18,905 (as of 1 January 2015) and an area of 294 km (together with nearby uninhabited Klein Bonaire). Bonaire was part of the Netherlands Antilles until the country's dissolution in 2010, when the island became a special municipality (officially “public body”) within the country of the Netherlands. It is one of the three BES islands in the Caribbean, along with Sint Eustatius and Saba. \n\nThe name 'Bonaire' is thought to have originally come from the Caquetio word 'Bonay', a name that meant low country. The early Spanish and Dutch modified its spelling to Bojnaj and also Bonaire. The French influence, while present at various times, was never strong enough to make the assumption that the name means 'good air'.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82155\": \"How many islands are part of the ABC island?\"\n },\n {\n \"82156\": \"What are they?\"\n },\n {\n \"82157\": \"What kind of climate do they have?\"\n },\n {\n \"82158\": \"Where is Bonaire?\"\n },\n {\n \"82159\": \"What is the capital?\"\n },\n {\n \"82160\": \"How much land do they have?\"\n },\n {\n \"82161\": \"Does that include something else?\"\n },\n {\n \"82162\": \"How many people live in Klein Bonaire?\"\n },\n {\n \"82163\": \"What about Bonaire?\"\n },\n {\n \"82164\": \"What language does the name come from?\"\n },\n {\n \"82165\": \"Which word?\"\n },\n {\n \"82166\": \"What does that mean?\"\n },\n {\n \"82167\": \"Who change the way it's spelled?\"\n },\n {\n \"82168\": \"Did it have a heavy French influence?\"\n },\n {\n \"82169\": \"What country did Bonaire belong to?\"\n },\n {\n \"82170\": \"What happened to that country?\"\n },\n {\n \"82171\": \"When?\"\n },\n {\n \"82172\": \"What kind of Municipality was it after that?\"\n },\n {\n \"82173\": \"Do they get tourists?\"\n },\n {\n \"82174\": \"What sport do they come for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82155\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"82156\",\n \"answer\": \"Bonaire, Aruba and Cura\\u00e7ao\"\n },\n {\n \"question_id\": \"82157\",\n \"answer\": \"arid\"\n },\n {\n \"question_id\": \"82158\",\n \"answer\": \"in the Caribbean Sea\"\n },\n {\n \"question_id\": \"82159\",\n \"answer\": \"Kralendijk\"\n },\n {\n \"question_id\": \"82160\",\n \"answer\": \"294\\u00a0km\"\n },\n {\n \"question_id\": \"82161\",\n \"answer\": \"Klein Bonaire\"\n },\n {\n \"question_id\": \"82162\",\n \"answer\": \"nearby none\"\n },\n {\n \"question_id\": \"82163\",\n \"answer\": \"18,905\"\n },\n {\n \"question_id\": \"82164\",\n \"answer\": \"Caquetio\"\n },\n {\n \"question_id\": \"82165\",\n \"answer\": \"Bonay\"\n },\n {\n \"question_id\": \"82166\",\n \"answer\": \"low country\"\n },\n {\n \"question_id\": \"82167\",\n \"answer\": \"the Spanish and Dutch\"\n },\n {\n \"question_id\": \"82168\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82169\",\n \"answer\": \"the Netherlands Antilles\"\n },\n {\n \"question_id\": \"82170\",\n \"answer\": \"it dissolved\"\n },\n {\n \"question_id\": \"82171\",\n \"answer\": \"2010\"\n },\n {\n \"question_id\": \"82172\",\n \"answer\": \"a public body\"\n },\n {\n \"question_id\": \"82173\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82174\",\n \"answer\": \"scuba diving\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n On the first day of school, Jack found a little old lady with a warm smile.\"Hi, handsome. My name is Rose. I'm 87 years old.\"she said. \"Why are you in university at such a YOUNG age?\" Jack asked. \"I'm here to meet a rich husband, get married, have a couple of kids, and then retired and travel.\" she answered. Jack knew she's joking but he was surprised what encouraged her to be here at her age. \"I always dreamed of having a university education and now I'm getting one!\" she told me. We became friends. Every day they would talk after class. Jack always enjoyed listening to this \"time machine\" as she shared her wisdom and experience with him. And Rose easily made friends wherever she went. At the end of the term, Rose was invited to make a little speech. She said, \"We don't stop playing because we're old. We grow old because we stop playing. Being happy and achieving success may keep you staying young. If you have a dream, hold on. When you lose your dreams, you die.\" \"Anybody can grow older. _ doesn't take any talent or ability. The idea is to grow up by always finding the chance in change...\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2107\": \"Who dream of having a University Education?\"\n },\n {\n \"2108\": \"Did she get one?\"\n },\n {\n \"2109\": \"Who did Jack find on the first day?\"\n },\n {\n \"2110\": \"How old is she?\"\n },\n {\n \"2111\": \"Is she younger than Jack?\"\n },\n {\n \"2112\": \"Is Rose younger than Jack?\"\n },\n {\n \"2113\": \"What was Rose's mission in the school?\"\n },\n {\n \"2114\": \"Did jack always to her?\"\n },\n {\n \"2115\": \"What was Rose idea on growing old?\"\n },\n {\n \"2116\": \"Was Jack in the University at a young age?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2107\",\n \"answer\": \"Rose\"\n },\n {\n \"question_id\": \"2108\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2109\",\n \"answer\": \"Rose\"\n },\n {\n \"question_id\": \"2110\",\n \"answer\": \"87\"\n },\n {\n \"question_id\": \"2111\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2112\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2113\",\n \"answer\": \"\\\"I always dreamed of having a university education and now I'm getting one!\\\"\"\n },\n {\n \"question_id\": \"2114\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2115\",\n \"answer\": \"\\\"We don't stop playing because we're old. We grow old because we stop playing.\"\n },\n {\n \"question_id\": \"2116\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ATLANTA, Georgia (CNN) -- Eric Hahn thought his financial situation was set after he was approved for a private student loan with an 8 percent interest rate to supplement his federal education loans. \n\nEric Hahn, 21, estimates he will be in debt for the next five to seven years for his undergraduate tuition. \n\nJust a few weeks later, Hahn, 21, was forced to cash in his savings and investments so he could make his rent and tuition after finding out that the lender, MyRichUncle.com, had suspended its private student loan program. \n\n\"Due to continued disruptions in the capital markets, combined with the continued demand we have experienced this year, we are reaching funding capacity limits,\" a message on his cell phone said, mimicking a statement on the company's Web site. \n\nThe sudden news left Hahn, a senior-year finance major, scrambling to find additional funding after maxing out his borrowing options from the federal government. Eventually, the country's leading student loan provider, Sallie Mae, approved him for a private loan at 12 percent. \n\nAfter he graduates, Hahn estimates it will take him anywhere from five to seven years to repay about $30,000 he will have borrowed by then. \n\n\"Money isn't cheap,\" said Hahn, who transferred to Georgia State University in Atlanta from the University of Connecticut last year because the tuition was less expensive. \"The process is time-consuming, and there's also the stress of having to liquidate my investments and wonder where I'm going to find money.\" \n\nAbout 8 percent of student borrowers rely on private loans, which tend to be costlier and stricter than federal loans, said Robert Shierman, executive director of the Institute for College Access and Success. In doing so, Hahn and others like him are getting a crash course in market volatility and its effects on the consumer's ability to find money. Watch how the current economic troubles affect consumers » \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77491\": \"What is Hahn studying?\"\n },\n {\n \"77492\": \"At which university?\"\n },\n {\n \"77493\": \"Where did he attend last year?\"\n },\n {\n \"77494\": \"Why did he transfer?\"\n },\n {\n \"77495\": \"What year of student is he?\"\n },\n {\n \"77496\": \"at how old?\"\n },\n {\n \"77497\": \"How long does he anticipate being in debt?\"\n },\n {\n \"77498\": \"How much will he have borrowed in total?\"\n },\n {\n \"77499\": \"Which company ended its loan program and left him in a bind?\"\n },\n {\n \"77500\": \"What rate was he anticipating with that company?\"\n },\n {\n \"77501\": \"What reasoning did they give?\"\n },\n {\n \"77502\": \"Where did he end up borrowing from instead?\"\n },\n {\n \"77503\": \"At what percentage rate?\"\n },\n {\n \"77504\": \"Is this a well-utilized company?\"\n },\n {\n \"77505\": \"Why couldn't he receive more money from the government?\"\n },\n {\n \"77506\": \"Is the government more lenient than private options?\"\n },\n {\n \"77507\": \"Which option is cheaper?\"\n },\n {\n \"77508\": \"According to whom?\"\n },\n {\n \"77509\": \"at which organization?\"\n },\n {\n \"77510\": \"what title does he hold there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77491\",\n \"answer\": \"finance\"\n },\n {\n \"question_id\": \"77492\",\n \"answer\": \"Georgia State University\"\n },\n {\n \"question_id\": \"77493\",\n \"answer\": \"the University of Connecticut\"\n },\n {\n \"question_id\": \"77494\",\n \"answer\": \"tuition was less expensive\"\n },\n {\n \"question_id\": \"77495\",\n \"answer\": \"senior-year\"\n },\n {\n \"question_id\": \"77496\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"77497\",\n \"answer\": \"five to seven years\"\n },\n {\n \"question_id\": \"77498\",\n \"answer\": \"$30,000\"\n },\n {\n \"question_id\": \"77499\",\n \"answer\": \"MyRichUncle.com\"\n },\n {\n \"question_id\": \"77500\",\n \"answer\": \"8 percent\"\n },\n {\n \"question_id\": \"77501\",\n \"answer\": \"\\\"Due to continued disruptions in the capital markets, combined with the continued demand we have experienced this year, we are reaching funding capacity limits\\\"\"\n },\n {\n \"question_id\": \"77502\",\n \"answer\": \"Sallie Mae\"\n },\n {\n \"question_id\": \"77503\",\n \"answer\": \"12 percent\"\n },\n {\n \"question_id\": \"77504\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77505\",\n \"answer\": \"he maxed out his borrowing options from the federal government\"\n },\n {\n \"question_id\": \"77506\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77507\",\n \"answer\": \"federal loans\"\n },\n {\n \"question_id\": \"77508\",\n \"answer\": \"Robert Shierman\"\n },\n {\n \"question_id\": \"77509\",\n \"answer\": \"the Institute for College Access and Success\"\n },\n {\n \"question_id\": \"77510\",\n \"answer\": \"executive director\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII.—LEO MAKES A CHANGE. \n\nLeo stared at the circus treasurer in amazement. \n\n“For stealing two thousand circus tickets?” he repeated. \n\n“Exactly, young man.” \n\n“I am innocent.” \n\n“I don’t believe Leo would steal a pin,” put in Natalie Sparks, who had just come up. \n\n“That’s not for you to decide, Miss Sparks.” said Giles sharply. “We found evidence against you in your trunk, young man. You may as well confess.” \n\n“What evidence?” asked Leo, bewildered. \n\nThe circus treasurer mentioned the red strips. \n\n“I never placed them there,” declared Leo. “Somebody has been tampering with that trunk.” \n\n“That’s too thin,” sneered Giles. \n\n“Of course it’s too thin,” put in Snipper, who was watching the scene with an ill-concealed smile of triumph on his face. \n\nLeo looked at the gymnast sharply. Then he suddenly bounded toward Snipper and ran him up against a pile of boxes. \n\n“You scoundrel! This is some of your work! I can see it in your face.” \n\nHe choked Snipper until the man was red in the face. \n\n“Let—let me go!” gasped the second-rate gymnast finally. \n\n“Let him go, Dunbar,” ordered Giles, and caught Leo by the collar. \n\nThe noise of the trouble had spread, and now Barton Reeve appeared on the scene. \n\n“What’s the meaning of all this?” he demanded. \n\nHe was quickly told by Natalie Sparks. \n\n“I do not believe Leo is guilty, in spite of the red strips found in the trunk,” he said. \n\nHe talked the matter over with Giles, and finally Leo, Giles, and Barton Reeve went off to interview the manager. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14477\": \"Who stared at the circus treasurer in amazement?\"\n },\n {\n \"14478\": \"Who said he was innocent?\"\n },\n {\n \"14479\": \"What was stolen?\"\n },\n {\n \"14480\": \"Who had evidence?\"\n },\n {\n \"14481\": \"What was damaged?\"\n },\n {\n \"14482\": \"Who was attacked?\"\n },\n {\n \"14483\": \"Who showed up after?\"\n },\n {\n \"14484\": \"Who believed the suspect?\"\n },\n {\n \"14485\": \"Who viewed the gymnast harshly?\"\n },\n {\n \"14486\": \"Who was grabbed by the shirt?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14477\",\n \"answer\": \"Leo\"\n },\n {\n \"question_id\": \"14478\",\n \"answer\": \"Natalie Sparks\"\n },\n {\n \"question_id\": \"14479\",\n \"answer\": \"two thousand circus tickets\"\n },\n {\n \"question_id\": \"14480\",\n \"answer\": \"Giles sharply\"\n },\n {\n \"question_id\": \"14481\",\n \"answer\": \"trunk\"\n },\n {\n \"question_id\": \"14482\",\n \"answer\": \"Snipper\"\n },\n {\n \"question_id\": \"14483\",\n \"answer\": \"Giles\"\n },\n {\n \"question_id\": \"14484\",\n \"answer\": \"Barton Reeve\"\n },\n {\n \"question_id\": \"14485\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"14486\",\n \"answer\": \"Leo\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n \"What is success\"? Mr. Black asked his 6th grade business class. It was his opening conversation for the first class of the term. \"Success is riding in a sweet car, watching an 80-inch( TV, and living in a place with at least twelve rooms.\" One student answered, earning laughs from all the students. Mr. Black smiled, but shook his head. \"Tom, that is excess . That is not success.\" \"How about being able to provide for your family?\" A blonde girl named Sandy in the front suggested as an answer. \"Now we're getting closer,\" Mr. Black smiled, \"but try thinking about what you need and what you want.\" \"Getting everything you want.\" Tom shouted out an answer again, trying for more laughs. Mr. Black sighed .\" I believe we've already talked about excess versus(...) success.\" \"Getting everything you need, but some of what you want?\" James, sitting in the back wondered aloud. \"Quite right!\" Mr. Black clapped. \"Success is getting everything you need and some of what you want. The more you get that you want, the more successful you are. You do reach a point where you are living in excess, though.\" \"What does this have to do with business?\" Tom asked. It seemed if it wasn't funny, he wasn't happy. \"Well, Tom, think of it this way: the point of business is to make a living to support your family. Once you have properly seen to their needs, you can then seen to getting the extras that you want.\" \"What if I don't have a family?\" he continued to be difficult. \"Then you have to provide for yourself, a family of one.\" \"He has goldfish to think about!\" Peter, Tom's friend, shouted out. \"Then he needs to provide for a family of one with a fishbowl.\" Mr. Black corrected himself. Tom nodded, satisfied with that answer. \"So in the next nine weeks, we're going to study basic business situations, like having a checking account and understanding credit cards .\" Tom rubbed his hands together excitedly. \"When do we get to start spending?\" \"You already are, Tom. You're spending time with us!\" Mr. Black laughed. \"Now, let's see what you guys know about credit cards...\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47672\": \"who made his class mates laugh?\"\n },\n {\n \"47673\": \"what was the instructor called?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47672\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"47673\",\n \"answer\": \"Mr. Black\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Something roared like thunder. The earth shook a little and we heard the rat-a-tat-tat of gunfire. \"Father!\" Hassan cried. We sprung to our feet and raced out of the living room. \"Father! What's that sound? Hassan screamed, his hands outstretched toward Ali. Ali wrapped his arms around us. A white light flashed and lit the sky in silver. It flashed again and was followed by rapid sharp sounds of gunfire. \"They're hunting ducks.\" Ali said in a hoarse voice. \"They hunt ducks at night, you know.\" Don't be afraid. A siren went off in the distance. Somewhere glass broke and someone shouted. I heard people on the street, jolted from sleep and probably still in their pajamas, with ruffled hair and puffy eyes. Hassan was crying. Ali pulled him close, clutched him with tenderness. We stayed huddled that way until the early hours of the morning. The shootings and explosions had lasted less than an hour, but they had frightened us badly, because none of us had ever heard gunshots in the streets. They were foreign sounds to us then. The generation of Afghan children whose ears would know nothing but the sounds of bombs and gunfire was not yet born. Huddled together in the dining room and waiting for the sun to rise, none of us had any notion that a way of life had ended. The end came when Russian tanks were rolling into the very same streets where Hassan and I played, bringing the death of the Afghanistan I knew and marking the start of a still ongoing era of bloodletting. Just before sunrise, Baba's car peeled into the driveway. His door slammed shut and his running footsteps pounded the stairs. Then he appeared in the doorway and I saw something on his face. Something I didn't recognize right away because I'd never seen it before: fear. \"Amir! Hassan!\" He cried as he ran to us, opening his arms wide. \"They blocked all the roads and the telephone didn't work. I was so worried!\" We let him wrap us in his arms and, for a brief moment, I was glad about whatever had happened that night.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25013\": \"What caused the loud sounds?\"\n },\n {\n \"25014\": \"Who was causing the loud sounds?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25013\",\n \"answer\": \"gunfire\"\n },\n {\n \"question_id\": \"25014\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Susie woke up early on Saturday morning. She was very happy because her cousin, Mary, was coming to visit today. She was also happy about the new kittens. They were only a few weeks old, and so cute! \n\nSusie ran into the kitchen. Her mother was cooking breakfast. \n\n\"I can't wait to show Mary the new kittens,\" Susie announced to her mother. \"Do you think her mother is going to allow her to have one?\" \n\n\"I don't know,\" Susie's mom answered. \"I hope so. Six kittens - that's too many! I only want to keep two kittens. She is going to be here soon.\" \n\nSusie hurried through breakfast and ran outside to wait on Mary. She jumped up and down with excitement when she saw a car turn into the driveway. Susie ran toward the car as Mary opened the door. \n\n\"We have new kittens,\" Susie announced with a smile. \"Mom says you can take one home.\" \n\n\"Can I Mommy, please,\" Mary asked her mother. \n\n\"I need to think about it,\" said Mary's mother. \n\n\"Come on!\" Susie said and ran toward the barn where the kittens were. Mary ran after her. \n\nMary and Susie played with the kittens all day.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4863\": \"What did Susie do?\"\n },\n {\n \"4864\": \"When?\"\n },\n {\n \"4865\": \"How did she feel?\"\n },\n {\n \"4866\": \"Why?\"\n },\n {\n \"4867\": \"And why else?\"\n },\n {\n \"4868\": \"How old were they?\"\n },\n {\n \"4869\": \"Where did she go?\"\n },\n {\n \"4870\": \"And who did she see there?\"\n },\n {\n \"4871\": \"And what was she doing?\"\n },\n {\n \"4872\": \"How many kittens were there?\"\n },\n {\n \"4873\": \"And how many did she want to keep?\"\n },\n {\n \"4874\": \"Where did Susie then run?\"\n },\n {\n \"4875\": \"Why?\"\n },\n {\n \"4876\": \"Was she excited?\"\n },\n {\n \"4877\": \"Where did the girls run?\"\n },\n {\n \"4878\": \"And what did they do?\"\n },\n {\n \"4879\": \"For how long?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4863\",\n \"answer\": \"woke up\"\n },\n {\n \"question_id\": \"4864\",\n \"answer\": \"early on Saturday morning\"\n },\n {\n \"question_id\": \"4865\",\n \"answer\": \"very happy\"\n },\n {\n \"question_id\": \"4866\",\n \"answer\": \"because her cousin, Mary, was coming to visit today\"\n },\n {\n \"question_id\": \"4867\",\n \"answer\": \"about the new kittens\"\n },\n {\n \"question_id\": \"4868\",\n \"answer\": \"only a few weeks old\"\n },\n {\n \"question_id\": \"4869\",\n \"answer\": \"the kitchen\"\n },\n {\n \"question_id\": \"4870\",\n \"answer\": \"Her mother\"\n },\n {\n \"question_id\": \"4871\",\n \"answer\": \"cooking breakfast.\"\n },\n {\n \"question_id\": \"4872\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"4873\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"4874\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"4875\",\n \"answer\": \"to wait on Mary\"\n },\n {\n \"question_id\": \"4876\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4877\",\n \"answer\": \"toward the barn where the kittens were\"\n },\n {\n \"question_id\": \"4878\",\n \"answer\": \"played with the kittens\"\n },\n {\n \"question_id\": \"4879\",\n \"answer\": \"all day\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Golf in the USA was until quite recently the hobby of old,middle class white men.Not any more.The fact that the class,age and race barriers that existed in the sport have finally been broken down is due almost entirely to two people.Tiger Woods and Michelle Wie. \n\nTiger Woods was born in California in 1975 and is one of the greatest golfers of all time.His ethnic background is marvelously rich and varied.His father Earl was of mixed of black,Chinese and Native American ancestry and his mother Kultida,who was originally from Thailand,also had Chinese and Dutch forefathers. \n\nWoods became a professional golfer in 1996 and,less than a year later,astonished the world easily winning the prestigious Masters Colf Tournament,an annual event which takes place at the Augusta Golf Club in Georgia,USA.At 21,he was the youngest golfer ever to win the tournament,but much more important,he was also the first Asian American to do it. \n\nWoods'amazing achievement is put into perspective when you realize that until 1990,no non-white American had ever been allowed to join Augusta Golf Club.Even in 2000,it only had two black members.In fact,in 1977,Clifford Roberts,the chairman of the club and founder of the Masters Tournament,proclaimed:\"As long as 1 am alive,golfers will be white and caddies \n\nwill be black.\"Roberts died not long after making this racist remark... \n\nFortunately,his views were not shared by his successors and the dramatic appearance of Tiger Woods on the Golf scene radically changed attitudes to the sport and prompted a major surge of interest in the game among ethnic minorities end young people in the USA. \n\nMichelle Wie,a Korean American born in 1989 whose mother was an amateur golf champion in Korea,will probably became the greatest woman golfer of all time.She's 1.85 meters tall and she can play a golf ball further than most men.Like Woods,she has transformed the world of golf,and wants to do so in even more dramatic ways.She has expressed her determination to play on the men's tournament circuit,not just the women's,and has already appeared in several professional men's tournaments. \n\nThanks to Woods and Wie,golf in America will never be the same again.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44191\": \"In what year was Tiger Woods born?\"\n },\n {\n \"44192\": \"In what state?\"\n },\n {\n \"44193\": \"What sport does he play?\"\n },\n {\n \"44194\": \"Is he mixed race?\"\n },\n {\n \"44195\": \"What racial background does his father have?\"\n },\n {\n \"44196\": \"And his mother?\"\n },\n {\n \"44197\": \"From what country is she?\"\n },\n {\n \"44198\": \"What is her name?\"\n },\n {\n \"44199\": \"In what year did Woods start his career in golfing?\"\n },\n {\n \"44200\": \"Did he win a big award within a year of that?\"\n },\n {\n \"44201\": \"Where does it take place?\"\n },\n {\n \"44202\": \"How old was Woods at this time?\"\n },\n {\n \"44203\": \"Was he the first Asian American to win it?\"\n },\n {\n \"44204\": \"Who was chairman of the Augusta Golf Club?\"\n },\n {\n \"44205\": \"What tournament did he establish?\"\n },\n {\n \"44206\": \"In what year was Michelle Wie born?\"\n },\n {\n \"44207\": \"What nationality is she?\"\n },\n {\n \"44208\": \"Was her mother involved in golfing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44191\",\n \"answer\": \"1975\"\n },\n {\n \"question_id\": \"44192\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"44193\",\n \"answer\": \"Golf\"\n },\n {\n \"question_id\": \"44194\",\n \"answer\": \"ethnic background is marvelously rich and varied\"\n },\n {\n \"question_id\": \"44195\",\n \"answer\": \"black,Chinese and Native American\"\n },\n {\n \"question_id\": \"44196\",\n \"answer\": \"Chinese and Dutch\"\n },\n {\n \"question_id\": \"44197\",\n \"answer\": \"Thailand\"\n },\n {\n \"question_id\": \"44198\",\n \"answer\": \"Kultida\"\n },\n {\n \"question_id\": \"44199\",\n \"answer\": \"1996\"\n },\n {\n \"question_id\": \"44200\",\n \"answer\": \"Masters Colf Tournament\"\n },\n {\n \"question_id\": \"44201\",\n \"answer\": \"Augusta Golf Club in Georgia\"\n },\n {\n \"question_id\": \"44202\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"44203\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44204\",\n \"answer\": \"Clifford Roberts\"\n },\n {\n \"question_id\": \"44205\",\n \"answer\": \"Masters Tournament\"\n },\n {\n \"question_id\": \"44206\",\n \"answer\": \"1989\"\n },\n {\n \"question_id\": \"44207\",\n \"answer\": \"1989\"\n },\n {\n \"question_id\": \"44208\",\n \"answer\": \"Korean American\"\n }\n]\n" } ]

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