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[ { "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 Would you like to join an all-women' s expedition to Annapurna? You must be an experienced high altitude climber, strong, enthusiastic and a hard worker! If you think this is for YOU, please contact: Arlene Blum, Berkeley, California, USA. \n\nMany women wrote to them from all over the world, but they could only choose ten. When the final team was chosen, the youngest was twenty years old, the oldest was fifty. \n\nFor Arlene, finding the climbers was only the first step. The team needed another important thing: money. There were long talks at Vera Watson' s house, when they discussed how to make the 80,000 dollars they would need for the expedition. With the help of enthusiastic friends, they organized dances, sports, and parties. They even sold expedition T- shirts. After many months, and a lot of hard work, they finally had the money they needed. \n\nNow at last they were in Kathmandu, the city where their great adventure would begin. Arlene looked round at the women in the airport. They looked tired after the long journey from Francisco, but happy to be in Nepal at last. There had been so many friends and families at the airport to say goodbye. It had been difficult to leave the people they loved. Irene had looked so sad when she said goodbye to her daughters. Arlene had found it very difficult to leave her boyfriend, John. For all of them there was the chance that they would never see their families or friends again. \n\nAll climbing in the Himalayas is dangerous. One in ten of the people who go there do not come back. Annapurna was very dangerous because of its avalanches. Arlene knew the avalanches very well. On the expedition film she said...\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58987\": \"What are the qualifications to Join an all-woman expedition to Annapurma?\"\n },\n {\n \"58988\": \"Are there any others?\"\n },\n {\n \"58989\": \"What are they?\"\n },\n {\n \"58990\": \"What else did Ariene Blum need to find besides climbers?\"\n },\n {\n \"58991\": \"what were some of the things done to earn the money they needed?\"\n },\n {\n \"58992\": \"What city would their adventure begin?\"\n },\n {\n \"58993\": \"How many people who go to the Himalays don't come back?\"\n },\n {\n \"58994\": \"why is it so dangerous?\"\n },\n {\n \"58995\": \"What did Ariene discuss at Vera Watson's house?\"\n },\n {\n \"58996\": \"How old was the youngest of the group of people for the trip?\"\n },\n {\n \"58997\": \"and how old was the oldest?\"\n },\n {\n \"58998\": \"How many total was there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"58987\",\n \"answer\": \"be an experienced high altitude climber\"\n },\n {\n \"question_id\": \"58988\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58989\",\n \"answer\": \"strong, enthusiastic and a hard worker\"\n },\n {\n \"question_id\": \"58990\",\n \"answer\": \"money.\"\n },\n {\n \"question_id\": \"58991\",\n \"answer\": \"they organized dances, sports, and parties\"\n },\n {\n \"question_id\": \"58992\",\n \"answer\": \"Kathmandu\"\n },\n {\n \"question_id\": \"58993\",\n \"answer\": \"One in ten\"\n },\n {\n \"question_id\": \"58994\",\n \"answer\": \"because of its avalanches\"\n },\n {\n \"question_id\": \"58995\",\n \"answer\": \"how to make the 80,000 dollars\"\n },\n {\n \"question_id\": \"58996\",\n \"answer\": \"twenty\"\n },\n {\n \"question_id\": \"58997\",\n \"answer\": \"fifty\"\n },\n {\n \"question_id\": \"58998\",\n \"answer\": \"11\"\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 (CNN) -- So, after a mere half-century, German pharmaceutical firm Gruenenthal has decided to apologize for the devastating effects its drug, thalidomide, had on thousands of babies and their families around the world, myself included. Is this a reason to celebrate? Is it even a reason for cautious optimism, or is it simply a piece of news management designed to salvage what is left of its corporate reputation? \n\nGruenenthal's chief executive, Harald Stock, made the apology Friday as he inaugurated a memorial to those affected in Stolberg, Germany, where the company is based. \n\nI was aware of Herr Stock long before his name was flashed around newsrooms all over the world when he made his momentous announcement. \n\nTogether with others, I've been campaigning for justice for the global thalidomide community for the past decade. \n\nAt one point Herr Stock, who replaced Sebastian Wirtz as head of Gruenenthal, agreed to a meeting. \n\nWe held preliminary discussions, however the process broke down acrimoniously before we ever got to meet Herr Stock after it became clear to all of us that the company had no intention of negotiating a lasting settlement -- one that would have kept them out of the headlines forever and which would have left the Wirtz family with its considerable fortune intact. \n\nPersonal account: A life shaped by bad medicine \n\nSo why the apology now? I think it is not unconnected with successful litigation in Australia that has resulted in a multi-million dollar settlement for a hitherto unrecognized thalidomide survivor, Lynette Rowe. Although the settlement was achieved at the expense of the British and Australian successor company to the distributor of thalidomide, Diageo, Gruenenthal was also named in proceedings. The writing was spray-painted on the wall for Mr Stock and the board of Gruenenthal. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82732\": \"Did someone apologize?\"\n },\n {\n \"82733\": \"Who?\"\n },\n {\n \"82734\": \"Of what company?\"\n },\n {\n \"82735\": \"What was his name?\"\n },\n {\n \"82736\": \"When did he apologize?\"\n },\n {\n \"82737\": \"Was someone replaced?\"\n },\n {\n \"82738\": \"Who was replaced?\"\n },\n {\n \"82739\": \"Who replaced him?\"\n },\n {\n \"82740\": \"In what position?\"\n },\n {\n \"82741\": \"How long was the campaign?\"\n },\n {\n \"82742\": \"Where was the company based?\"\n },\n {\n \"82743\": \"What city in germany?\"\n },\n {\n \"82744\": \"What was he apologizing for?\"\n },\n {\n \"82745\": \"Effects of what drug?\"\n },\n {\n \"82746\": \"How many were affected?\"\n },\n {\n \"82747\": \"Were only adults affected?\"\n },\n {\n \"82748\": \"Who were all affected?\"\n },\n {\n \"82749\": \"What was inaugurated?\"\n },\n {\n \"82750\": \"When?\"\n },\n {\n \"82751\": \"Was Stock unknown prior?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82732\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82733\",\n \"answer\": \"The chief executive\"\n },\n {\n \"question_id\": \"82734\",\n \"answer\": \"Gruenenthal\"\n },\n {\n \"question_id\": \"82735\",\n \"answer\": \"Harald Stock\"\n },\n {\n \"question_id\": \"82736\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"82737\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82738\",\n \"answer\": \"Sebastian Wirtz\"\n },\n {\n \"question_id\": \"82739\",\n \"answer\": \"Herr Stock\"\n },\n {\n \"question_id\": \"82740\",\n \"answer\": \"The head of Gruenenthal\"\n },\n {\n \"question_id\": \"82741\",\n \"answer\": \"Over 10 years\"\n },\n {\n \"question_id\": \"82742\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"82743\",\n \"answer\": \"Stolberg\"\n },\n {\n \"question_id\": \"82744\",\n \"answer\": \"Bad drug effects\"\n },\n {\n \"question_id\": \"82745\",\n \"answer\": \"thalidomide\"\n },\n {\n \"question_id\": \"82746\",\n \"answer\": \"1000s\"\n },\n {\n \"question_id\": \"82747\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82748\",\n \"answer\": \"Babies and their families\"\n },\n {\n \"question_id\": \"82749\",\n \"answer\": \"A memorial\"\n },\n {\n \"question_id\": \"82750\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"82751\",\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 Although the format was capable of offering higher-quality video and audio than its consumer rivals, the VHS and Betamax videocassette systems, LaserDisc never managed to gain widespread use in North America, largely due to high costs for the players and video titles themselves and the inability to record TV programming. It also remained a largely obscure format in Europe and Australia. By contrast, the format was much more popular in Japan and in the more affluent regions of Southeast Asia, such as Hong Kong, Singapore, and Malaysia, being the prevalent rental video medium in Hong Kong during the 1990s. Its superior video and audio quality did make it a somewhat popular choice among videophiles and film enthusiasts during its lifespan. \n\nLaserDisc was first available on the market, in Atlanta, Georgia, on December 15, 1978, two years after the introduction of the VHS VCR, and four years before the introduction of the CD (which is based on laser disc technology). Initially licensed, sold, and marketed as MCA DiscoVision (also known as simply \"DiscoVision\") in North America in 1978, the technology was previously referred to internally as Optical Videodisc System, Reflective Optical Videodisc, Laser Optical Videodisc, and Disco-Vision (with a dash), with the first players referring to the format as \"Video Long Play\".\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22997\": \"What never got popular in USA?\"\n },\n {\n \"22998\": \"Why not?\"\n },\n {\n \"22999\": \"What US city was it first released in?\"\n },\n {\n \"23000\": \"When?\"\n },\n {\n \"23001\": \"Where was it popular in?\"\n },\n {\n \"23002\": \"What year did the CD come out?\"\n },\n {\n \"23003\": \"What about the VHS VCR?\"\n },\n {\n \"23004\": \"How many other names was LaserDisc known as?\"\n },\n {\n \"23005\": \"What were the first formats called?\"\n },\n {\n \"23006\": \"Who were it's competitors?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22997\",\n \"answer\": \"LaserDisc\"\n },\n {\n \"question_id\": \"22998\",\n \"answer\": \"high cost & no recording\"\n },\n {\n \"question_id\": \"22999\",\n \"answer\": \"Atlanta GA\"\n },\n {\n \"question_id\": \"23000\",\n \"answer\": \"December 15, 1978,\"\n },\n {\n \"question_id\": \"23001\",\n \"answer\": \"Japan and South East Asia\"\n },\n {\n \"question_id\": \"23002\",\n \"answer\": \"1982\"\n },\n {\n \"question_id\": \"23003\",\n \"answer\": \"1976\"\n },\n {\n \"question_id\": \"23004\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"23005\",\n \"answer\": \"MCA DiscoVision\"\n },\n {\n \"question_id\": \"23006\",\n \"answer\": \"VHS & Betamax\"\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 Eurasia is a combined continental landmass of Europe and Asia. The term is a portmanteau of its constituent continents (Europe & Asia). Located primarily in the Northern and Eastern Hemispheres, it is bordered by the Atlantic Ocean to the west, the Pacific Ocean to the east, the Arctic Ocean to the north, and by Africa, the Mediterranean Sea, and the Indian Ocean to the south. The division between Europe and Asia as two different continents is a historical social construct, with no clear physical separation between them; thus, in some parts of the world, Eurasia is recognized as the largest of five or six continents. In geology, Eurasia is often considered as a single rigid megablock. However, the rigidity of Eurasia is debated based on the paleomagnet data. \n\nEurasia covers around , or around 36.2% of the Earth's total land area. The landmass contains around 5.0 billion people, equating to approximately 70% of the human population. Humans first settled in Eurasia between 60,000 and 125,000 years ago. Some major islands, including Great Britain, Iceland, and Ireland, and those of Japan, the Philippines and Indonesia, are often included under the popular definition of Eurasia, in spite of being separate from the massive landmass.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48488\": \"How big is Eurasia?\"\n },\n {\n \"48489\": \"What continents are involved?\"\n },\n {\n \"48490\": \"How many people live there?\"\n },\n {\n \"48491\": \"How much of the total number of people does that come to?\"\n },\n {\n \"48492\": \"Does it have water for a border?\"\n },\n {\n \"48493\": \"In the form of what?\"\n },\n {\n \"48494\": \"Are there others?\"\n },\n {\n \"48495\": \"What is one of those?\"\n },\n {\n \"48496\": \"Is it bordered by another continent?\"\n },\n {\n \"48497\": \"Which one?\"\n },\n {\n \"48498\": \"What about another ocean?\"\n },\n {\n \"48499\": \"What separates Africa and Eurasia?\"\n },\n {\n \"48500\": \"Is Europe and Asia considered a continent together?\"\n },\n {\n \"48501\": \"If it were, what is its rank?\"\n },\n {\n \"48502\": \"When did people first live there?\"\n },\n {\n \"48503\": \"Are there any islands associated with it?\"\n },\n {\n \"48504\": \"What is one?\"\n },\n {\n \"48505\": \"Is there another?\"\n },\n {\n \"48506\": \"Which is?\"\n },\n {\n \"48507\": \"What is Eurasia called in the field of geology?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48488\",\n \"answer\": \"36.2% of the Earth's total land area\"\n },\n {\n \"question_id\": \"48489\",\n \"answer\": \"Europe and Asia\"\n },\n {\n \"question_id\": \"48490\",\n \"answer\": \"5.0 billion people\"\n },\n {\n \"question_id\": \"48491\",\n \"answer\": \"70%\"\n },\n {\n \"question_id\": \"48492\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48493\",\n \"answer\": \"Atlantic Ocean to the west\"\n },\n {\n \"question_id\": \"48494\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48495\",\n \"answer\": \"Pacific Ocean to the east\"\n },\n {\n \"question_id\": \"48496\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48497\",\n \"answer\": \"Africa\"\n },\n {\n \"question_id\": \"48498\",\n \"answer\": \"the Indian Ocean to the south.\"\n },\n {\n \"question_id\": \"48499\",\n \"answer\": \"historical social construct\"\n },\n {\n \"question_id\": \"48500\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48501\",\n \"answer\": \"the largest of five or six continents\"\n },\n {\n \"question_id\": \"48502\",\n \"answer\": \"between 60,000 and 125,000 years ago\"\n },\n {\n \"question_id\": \"48503\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48504\",\n \"answer\": \"Great Britain\"\n },\n {\n \"question_id\": \"48505\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48506\",\n \"answer\": \"Iceland\"\n },\n {\n \"question_id\": \"48507\",\n \"answer\": \"a single rigid megablock\"\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 term Carnival is traditionally used in areas with a large Catholic presence. However, the Philippines, a predominantly Roman Catholic country, does not celebrate Carnival anymore since the dissolution of the Manila Carnival after 1939, the last carnival in the country. In historically Lutheran countries, the celebration is known as Fastelavn, and in areas with a high concentration of Anglicans and Methodists, pre-Lenten celebrations, along with penitential observances, occur on Shrove Tuesday. In Eastern Orthodox nations, Maslenitsa is celebrated during the last week before Great Lent. In German-speaking Europe and the Netherlands, the Carnival season traditionally opens on 11/11 (often at 11:11 a.m.). This dates back to celebrations before the Advent season or with harvest celebrations of St. Martin's Day. \n\nTraditionally a carnival feast was the last opportunity to eat well before the time of food shortage at the end of the winter during which one was limited to the minimum necessary. On what nowadays is called vastenavond (the days before fasting) all the remaining winter stores of lard, butter and meat which were left would be eaten, for it would soon start to rot and decay. The selected livestock had in fact already been slaughtered in November and the meat would be no longer preservable. All the food that had survived the winter had to be eaten to assure that everyone was fed enough to survive until the coming spring would provide new food sources.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26281\": \"What is a carnival feast?\"\n },\n {\n \"26282\": \"Why would they need to do this?\"\n },\n {\n \"26283\": \"when is there likely to be a shortage?\"\n },\n {\n \"26284\": \"what is vastenavond\"\n },\n {\n \"26285\": \"what types of foods were consumed\"\n },\n {\n \"26286\": \"Which countries celebrate Carnival\"\n },\n {\n \"26287\": \"Do the Phillipines celebrate?\"\n },\n {\n \"26288\": \"When did they stop?\"\n },\n {\n \"26289\": \"What was the last carnival there called?\"\n },\n {\n \"26290\": \"What do Lutheran countries call it?\"\n },\n {\n \"26291\": \"what is Shrove Tuesday?\"\n },\n {\n \"26292\": \"When does the carnival season traditionally start?\"\n },\n {\n \"26293\": \"What does it coincide with?\"\n },\n {\n \"26294\": \"How did they get meat?\"\n },\n {\n \"26295\": \"When did they do that?\"\n },\n {\n \"26296\": \"Why did they have to eat it quickly?\"\n },\n {\n \"26297\": \"When would they get abundant food sources again?\"\n },\n {\n \"26298\": \"Where is the term Carnival most recognized from?\"\n },\n {\n \"26299\": \"Was the Phillipines Catholic\"\n },\n {\n \"26300\": \"What time do people generally start celebrating Carnival\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26281\",\n \"answer\": \"an opportunity to eat well\"\n },\n {\n \"question_id\": \"26282\",\n \"answer\": \"before a food shortage\"\n },\n {\n \"question_id\": \"26283\",\n \"answer\": \"the end of the winter\"\n },\n {\n \"question_id\": \"26284\",\n \"answer\": \"the days before fasting\"\n },\n {\n \"question_id\": \"26285\",\n \"answer\": \"lard, butter and meat\"\n },\n {\n \"question_id\": \"26286\",\n \"answer\": \"Eastern Orthodox nations\"\n },\n {\n \"question_id\": \"26287\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26288\",\n \"answer\": \"after 1939\"\n },\n {\n \"question_id\": \"26289\",\n \"answer\": \"Manila Carnival\"\n },\n {\n \"question_id\": \"26290\",\n \"answer\": \"Fastelavn\"\n },\n {\n \"question_id\": \"26291\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"26292\",\n \"answer\": \"on 11/11\"\n },\n {\n \"question_id\": \"26293\",\n \"answer\": \"harvest celebrations\"\n },\n {\n \"question_id\": \"26294\",\n \"answer\": \"slaughtered livestock\"\n },\n {\n \"question_id\": \"26295\",\n \"answer\": \"in November\"\n },\n {\n \"question_id\": \"26296\",\n \"answer\": \"it would rot\"\n },\n {\n \"question_id\": \"26297\",\n \"answer\": \"spring\"\n },\n {\n \"question_id\": \"26298\",\n \"answer\": \"areas with a large Catholic presence\"\n },\n {\n \"question_id\": \"26299\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26300\",\n \"answer\": \"at 11:11 a.m.\"\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 XXVI \n\nTHE AFTERMATH \n\nBad news spreads quickly. By the quarter to eleven interval next day the facts concerning Wyatt and Mr. Wain were public property. Mike, as an actual spectator of the drama, was in great request as an informant. As he told the story to a group of sympathisers outside the school shop, Burgess came up, his eyes rolling in a fine frenzy. \n\n\"Anybody seen young--oh, here you are. What's all this about Jimmy Wyatt? They're saying he's been sacked, or some rot.\" \n\n[Illustration: \"WHAT'S ALL THIS ABOUT JIMMY WYATT?\"] \n\n\"So he has--at least, he's got to leave.\" \n\n\"What? When?\" \n\n\"He's left already. He isn't coming to school again.\" \n\nBurgess's first thought, as befitted a good cricket captain, was for his team. \n\n\"And the Ripton match on Saturday!\" \n\nNobody seemed to have anything except silent sympathy at his command. \n\n\"Dash the man! Silly ass! What did he want to do it for! Poor old Jimmy, though!\" he added after a pause. \"What rot for him!\" \n\n\"Beastly,\" agreed Mike. \n\n\"All the same,\" continued Burgess, with a return to the austere manner of the captain of cricket, \"he might have chucked playing the goat till after the Ripton match. Look here, young Jackson, you'll turn out for fielding with the first this afternoon. You'll play on Saturday.\" \n\n\"All right,\" said Mike, without enthusiasm. The Wyatt disaster was too recent for him to feel much pleasure at playing against Ripton _vice_ his friend, withdrawn. \n\nBob was the next to interview him. They met in the cloisters. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68997\": \"Whats the name of the chapter?\"\n },\n {\n \"68998\": \"Who was the cricket captain?\"\n },\n {\n \"68999\": \"Who was in great demand as a informant?\"\n },\n {\n \"69000\": \"who left school?\"\n },\n {\n \"69001\": \"What teamdo they play in the next match?\"\n },\n {\n \"69002\": \"Do we know what the \\\"Wyatt disaster is?\"\n },\n {\n \"69003\": \"When does Jackson take the pitch?\"\n },\n {\n \"69004\": \"What spreads quickly?\"\n },\n {\n \"69005\": \"Why did the young person get let go?\"\n },\n {\n \"69006\": \"What sport do they play?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68997\",\n \"answer\": \"THE AFTERMATH\"\n },\n {\n \"question_id\": \"68998\",\n \"answer\": \"Burgess\"\n },\n {\n \"question_id\": \"68999\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"69000\",\n \"answer\": \"Jimmy Wyatt\"\n },\n {\n \"question_id\": \"69001\",\n \"answer\": \"Ripton\"\n },\n {\n \"question_id\": \"69002\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69003\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"69004\",\n \"answer\": \"bad news\"\n },\n {\n \"question_id\": \"69005\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69006\",\n \"answer\": \"cricket\"\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 Christine and Elena grew up in the same suburb of Sydney and first met at kindergarten. They took to each other immediately and became inseparable friends throughout their school lives. Elena's parents had moved from Greece to Australia, and her grandparents still lived on the small Greek island of Santorini, When she was 16, Elena visited her grandparents for the first time. On returning to Australia, she talked endlessly about her grandmother's next-door neighbor, Mara. When Christine expressed puzzlement at Elena's obsession with people next door, Elena admitted that Maria had a handsome son called Nicos. She showed Christine a photo of him, standing next to his prize possession, a motorbike. Elena and Nicos exchanged emails for a while, but suddenly Nicos stopped writing. While not heartbroken, Elena was nevertheless hurt. A year later, when Christine announced that she was going to visit Greece, Elena begged her to visit Santorini and say hello to Maria and Nicos. Christine agreed to do so. \n\nWhen she flew into Athens on an unseasonably cold day in September, she quickly realized that she hadn't brought enough warm clothes. Walking through the streets of the Greek capital, she happened to see a nice coat in a shop window and went in to ask about the price. The coat was too expensive, but as Christine was about to leave the shop, the woman asked her where she was from. When Christine answered Australia, the woman agreed to reduce the price because she knew a nice girl from Australia called Elena. Christine then noticed a photo of a young man standing next to a motorbike. Her eyes opened wide with astonishment. It was Nicos! Indeed the young man was Nicos, and the woman in the shop was Maria. She had come to Athens from Santorini to look after the shop for a friend. \n\nSadly, the story has a tragic ending. Nicos had been killed in a motorcycle accident. \n\n\"I wanted to tell Elena,\" said Maria. \"But I didn't know how. Now that I have met you, I know that it's time to tell her.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71738\": \"Who was killed in a motorcycle accident?\"\n },\n {\n \"71739\": \"Whose son was he?\"\n },\n {\n \"71740\": \"What was his prized posession?\"\n },\n {\n \"71741\": \"Where did Christine and Elena first meet?\"\n },\n {\n \"71742\": \"In what city?\"\n },\n {\n \"71743\": \"Why was Elena concerned about the next door neighbors?\"\n },\n {\n \"71744\": \"Where was Elena's family from?\"\n },\n {\n \"71745\": \"Who still lived there?\"\n },\n {\n \"71746\": \"On which island?\"\n },\n {\n \"71747\": \"How old was she when she visited?\"\n },\n {\n \"71748\": \"Was this her first visit?\"\n },\n {\n \"71749\": \"How did Elena and Nicos keep in touch?\"\n },\n {\n \"71750\": \"Who stopped communicating?\"\n },\n {\n \"71751\": \"What did Elena see in the shop that caught her eye?\"\n },\n {\n \"71752\": \"What was she thinking about purchasing?\"\n },\n {\n \"71753\": \"Could she afford it?\"\n },\n {\n \"71754\": \"Why did the shopkeeper offer her a discount?\"\n },\n {\n \"71755\": \"Who was the shopkeeper?\"\n },\n {\n \"71756\": \"Where had she moved from?\"\n },\n {\n \"71757\": \"Had she told Elena why Nico stopped writing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71738\",\n \"answer\": \"Nicos\"\n },\n {\n \"question_id\": \"71739\",\n \"answer\": \"Maria's\"\n },\n {\n \"question_id\": \"71740\",\n \"answer\": \"a motorbike\"\n },\n {\n \"question_id\": \"71741\",\n \"answer\": \"at kindergarten\"\n },\n {\n \"question_id\": \"71742\",\n \"answer\": \"Sydney\"\n },\n {\n \"question_id\": \"71743\",\n \"answer\": \"Elena admitted that Maria had a handsome son\"\n },\n {\n \"question_id\": \"71744\",\n \"answer\": \"Greece\"\n },\n {\n \"question_id\": \"71745\",\n \"answer\": \"her grandparents\"\n },\n {\n \"question_id\": \"71746\",\n \"answer\": \"the small Greek island of Santorini\"\n },\n {\n \"question_id\": \"71747\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"71748\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71749\",\n \"answer\": \"They exchanged emails for a while\"\n },\n {\n \"question_id\": \"71750\",\n \"answer\": \"Nicos\"\n },\n {\n \"question_id\": \"71751\",\n \"answer\": \"a photo of a young man\"\n },\n {\n \"question_id\": \"71752\",\n \"answer\": \"a nice coat\"\n },\n {\n \"question_id\": \"71753\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71754\",\n \"answer\": \"Because Christine answered that she was from Australia\"\n },\n {\n \"question_id\": \"71755\",\n \"answer\": \"Maria\"\n },\n {\n \"question_id\": \"71756\",\n \"answer\": \"Santorini\"\n },\n {\n \"question_id\": \"71757\",\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 BPI (British Recorded Music Industry) Limited, commonly known as the British Phonographic Industry or BPI, is the British recorded music industry's trade association. \n\nIts membership comprises hundreds of music companies including all three \"major\" record companies in the UK (Warner Music UK, Sony Music Entertainment, and Universal Music Group), and hundreds of independent music labels and small to medium-sized music businesses. \n\nIt has represented the interests of British record companies since being formally incorporated in 1973 when the principal aim was to promote British music and fight copyright infringement. \n\nIn 2007, the association's legal name was changed from British Phonographic Industry Limited (The). \n\nIt founded the annual BRIT Awards for the British music industry in 1977, and, later, The Classic BRIT Awards. The organizing company, BRIT Awards Limited, is a fully owned subsidiary of the BPI. Proceeds from both shows go to the BRIT Trust, the charitable arm of the BPI that has donated almost £15m to charitable causes nationwide since its foundation in 1989. In September 2013, the BPI presented the first ever BRITs Icon Award to Sir Elton John. The BPI also endorsed the launch of the Mercury Prize for the Album of the Year in 1992. \n\nThe recorded music industry's Certified Awards program, which attributes Platinum, Gold and Silver status to singles, albums and music videos (Platinum and Gold only) based on their sales performance (see BPI Certified Awards program), has been administered by the BPI since its inception in 1973. In September 2008, the BPI became one of the founding members of UK Music, an umbrella organisation representing the interests of all parts of the industry.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66347\": \"What does BPI stand for?\"\n },\n {\n \"66348\": \"What is it?\"\n },\n {\n \"66349\": \"Who is one of the record companies in it?\"\n },\n {\n \"66350\": \"Can you name another one?\"\n },\n {\n \"66351\": \"And one more?\"\n },\n {\n \"66352\": \"What was its legal name before 2007?\"\n },\n {\n \"66353\": \"What is its main aim?\"\n },\n {\n \"66354\": \"Anything else?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66347\",\n \"answer\": \"British Recorded Music Industry\"\n },\n {\n \"question_id\": \"66348\",\n \"answer\": \"British recorded music industry's trade association.\"\n },\n {\n \"question_id\": \"66349\",\n \"answer\": \"Warner Music UK\"\n },\n {\n \"question_id\": \"66350\",\n \"answer\": \"Sony Music Entertainment\"\n },\n {\n \"question_id\": \"66351\",\n \"answer\": \"Universal Music Group\"\n },\n {\n \"question_id\": \"66352\",\n \"answer\": \"British Phonographic Industry Limited (The)\"\n },\n {\n \"question_id\": \"66353\",\n \"answer\": \"promote British music\"\n },\n {\n \"question_id\": \"66354\",\n \"answer\": \"fight copyright infringement\"\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 Katy Marsh is seventy years old now. She stopped working five years ago. Last year she decided to make her dream come true. When she was young, she hoped to travel along a river of Scotland in a small boat. She took her small CD player, her hot water bottle and a bag of books to make her life in the boat wasn't too uncomfortable. We asked her if she was afraid of being on the river for so long. She said, \"Well, I'm going to take a good _ . When I'm losing my way during my trip, it can help me a lot. Anyway I'm not afraid of death because I love rivers-I just hope it loves me too. \" Katy certainly had lots of energy . In her free time, she enjoyed playing the piano, swimming, hiking, and dancing. She had a wonderful trip in the small boat last year. She is seventy, but she doesn't want to have a quiet and peaceful life. She hopes to have fun in the rest of her life.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95206\": \"Is Katy retired?\"\n },\n {\n \"95207\": \"What age was she when she retired?\"\n },\n {\n \"95208\": \"How many years ago was that?\"\n },\n {\n \"95209\": \"What does she hope to have in the rest of her life?\"\n },\n {\n \"95210\": \"Is she very energetic?\"\n },\n {\n \"95211\": \"What does she do in her free time?\"\n },\n {\n \"95212\": \"What else?\"\n },\n {\n \"95213\": \"Where did she go last year?\"\n },\n {\n \"95214\": \"Did she visit cities?\"\n },\n {\n \"95215\": \"Did she take a trip?\"\n },\n {\n \"95216\": \"How did she travel?\"\n },\n {\n \"95217\": \"What did she take with her?\"\n },\n {\n \"95218\": \"Anything else?\"\n },\n {\n \"95219\": \"Did she take anything to read?\"\n },\n {\n \"95220\": \"Was it just one book?\"\n },\n {\n \"95221\": \"Why did she take books with her?\"\n },\n {\n \"95222\": \"Was she afraid?\"\n },\n {\n \"95223\": \"Does she love rivers?\"\n },\n {\n \"95224\": \"Does she want to have a quiet life?\"\n },\n {\n \"95225\": \"Did she think she would get lost on the trip?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95206\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95207\",\n \"answer\": \"65\"\n },\n {\n \"question_id\": \"95208\",\n \"answer\": \"five years ago\"\n },\n {\n \"question_id\": \"95209\",\n \"answer\": \"fun\"\n },\n {\n \"question_id\": \"95210\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95211\",\n \"answer\": \"playing the piano\"\n },\n {\n \"question_id\": \"95212\",\n \"answer\": \"swimming\"\n },\n {\n \"question_id\": \"95213\",\n \"answer\": \"Scotland\"\n },\n {\n \"question_id\": \"95214\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95215\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95216\",\n \"answer\": \"by boat\"\n },\n {\n \"question_id\": \"95217\",\n \"answer\": \"her small CD player\"\n },\n {\n \"question_id\": \"95218\",\n \"answer\": \"her hot water bottle\"\n },\n {\n \"question_id\": \"95219\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95220\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95221\",\n \"answer\": \"so she wasn't uncomfortable\"\n },\n {\n \"question_id\": \"95222\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95223\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95224\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95225\",\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 morning, Ann's neighbor Tracy found a lost dog wandering around the local elementary school. She asked Ann if she could keep an eye on the dog. Ann said that she could watch it only for the day. \n\nTracy took photos of the dog and printed off 400 FOUND fliers , and put them in mailboxes. Meanwhile, Ann went to the dollar store and bought some pet supplies, warning her two sons not to fall in love with the dog. At the time, Ann's son Thomas was 10 years old, and Jack, who was recovering from a heart operation, was 21 years old. \n\nFour days later Ann was still looking after the dog, whom they had started to call Riley. When she arrived home from work, the dog threw itself against the screen door and barked madly at her. As soon as she opened the door, Riley dashed into the boys' room where Ann found Jack suffering from a heart attack. Riley ran over to Jack, but as soon as Ann bent over to help him the dog went silent. \n\n\"If it hadn't come to get me, the doctor said Jack would have died,\" Ann reported to a local newspaper. At this point, no one had called to claim the dog, so Ann decided to keep it. \n\nThe next morning Tracy got a call. A man named Peter recognized his lost dog and called the number on the flier. Tracy started crying, and told him, \"That dog saved my friend's son.\" \n\nPeter drove to Ann's house to pick up his dog, and saw Thomas and Jack crying in the window. After a few moments Peter said, \"Maybe Odie was supposed to find you, maybe you should keep it.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39204\": \"What did Tracy find?\"\n },\n {\n \"39205\": \"Where?\"\n },\n {\n \"39206\": \"Who agreed to keep it for her?\"\n },\n {\n \"39207\": \"For how long?\"\n },\n {\n \"39208\": \"Does she have kids?\"\n },\n {\n \"39209\": \"How many?\"\n },\n {\n \"39210\": \"Who's the oldest?\"\n },\n {\n \"39211\": \"How old is he?\"\n },\n {\n \"39212\": \"How old is the younger one/\"\n },\n {\n \"39213\": \"What's his name?\"\n },\n {\n \"39214\": \"What did she tell them about the dog?\"\n },\n {\n \"39215\": \"Was one of them sick?\"\n },\n {\n \"39216\": \"Which one?\"\n },\n {\n \"39217\": \"What was wrong with him?\"\n },\n {\n \"39218\": \"What did they name the dog?\"\n },\n {\n \"39219\": \"Did it end up being a hero?\"\n },\n {\n \"39220\": \"Who did it save?\"\n },\n {\n \"39221\": \"From what?\"\n },\n {\n \"39222\": \"What was he dying from?\"\n },\n {\n \"39223\": \"did they keep the dog?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39204\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"39205\",\n \"answer\": \"the school\"\n },\n {\n \"question_id\": \"39206\",\n \"answer\": \"Ann\"\n },\n {\n \"question_id\": \"39207\",\n \"answer\": \"only for the day\"\n },\n {\n \"question_id\": \"39208\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39209\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"39210\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"39211\",\n \"answer\": \"21 years old\"\n },\n {\n \"question_id\": \"39212\",\n \"answer\": \"10 years old\"\n },\n {\n \"question_id\": \"39213\",\n \"answer\": \"Thomas\"\n },\n {\n \"question_id\": \"39214\",\n \"answer\": \"Not to fall in love with it\"\n },\n {\n \"question_id\": \"39215\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39216\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"39217\",\n \"answer\": \"He was recovering from heart surgery\"\n },\n {\n \"question_id\": \"39218\",\n \"answer\": \"Riley\"\n },\n {\n \"question_id\": \"39219\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39220\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"39221\",\n \"answer\": \"Dying\"\n },\n {\n \"question_id\": \"39222\",\n \"answer\": \"a heart attack\"\n },\n {\n \"question_id\": \"39223\",\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 Yves Gomes is now a university student in Maryland, but he may soon have to leave the country. \"I still want to continue with my college education and I want to be able to study here and go to medical school,\" he said. \n\nGomes is one of thousands of young illegal immigrants who grew up in the United States and are now studying at American colleges and universities. He is doing well in his studies, but he is fighting deportation to India, a country he left with his parents when he was just 14 months old. They were deported more than a year ago. \n\n\"If I was to go back to India I would just feel like all of that would have gone to waste because here at least I am still able to go to college,\" he said. \n\nImmigration is a divisive political issue in the United States with some 11 million people in the country illegally. One element of the debate is the hundreds of thousands of undocumented immigrants brought to the United States before the age of 16. Pending legislation know as the DREAMAct would give them a chance to become legal residents if they complete two years of college or join the military. \n\nMilanie Schwartz, a politically conservative student at the University of Texas, explains why some Americans oppose the legislation. \n\n\"We think it's unfair that students who are illegal immigrants would get a fast track to citizenship, while people who did come here legally wouldn't have those same opportunities,\" she said. \n\n\"The question is legalization or not, \" said Jon Feere, who also opposes the DREAM Act. He is a policy analyst with the Center for Immigration Studies in Washington and is concerned about the act's effect on the economy. \"There's a lot of unemployment in the United States right now. And there are already many legal immigrants who are already here who are desperate for those jobs,\" he said. \n\nBut supporters of the DREAMAct say well-educated immigrants would help the economy. Raul Hinojosa is an immigration research analyst at UCLA.\" Not letting them contribute to the economy would not only lose all the financial investment we have already made in these youths, but we would lose literally trillions of dollars of potential value because they want and are ready to contribute to the US economy,\" he said. \n\nThat's exactly what Yves Gomes wants to do -- finish school and become a doctor. He says without the DREAMAct, many students' dreams will be lost. \"They are studying at Harvard, they are studying at UCLA--the top universities -- and they all have bright futures and because of the system they are going to be told to go home, go back to a country they don't even know, \" he said. \n\nThe DREAMAct has failed to win passage in Congress since it was first introduced 10 years ago. Now time is running out for passage this year, and opposition Republicans have threatened to block it. Yves Gomes hopes that won't happen. He wants to finish school and eventually become a US citizen.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73351\": \"Is Gomes an immigrant?\"\n },\n {\n \"73352\": \"What kind?\"\n },\n {\n \"73353\": \"Where did he grow up?\"\n },\n {\n \"73354\": \"How is he doing in his studies?\"\n },\n {\n \"73355\": \"Where might he sent back to?\"\n },\n {\n \"73356\": \"At what age did he leave there?\"\n },\n {\n \"73357\": \"Have his parents been sent back to India?\"\n },\n {\n \"73358\": \"How long ago?\"\n },\n {\n \"73359\": \"In what state is Gomes studying?\"\n },\n {\n \"73360\": \"What kind of school does he hope to eventually go to?\"\n },\n {\n \"73361\": \"How many people are in the U.S. illegally?\"\n },\n {\n \"73362\": \"What bit of legislation would let the illegals a chance to gain citizenship?\"\n },\n {\n \"73363\": \"Under what conditions?\"\n },\n {\n \"73364\": \"At what school does MIlanie Schwartz study?\"\n },\n {\n \"73365\": \"What is her political orientation?\"\n },\n {\n \"73366\": \"Does she oppose the DREAMAct?\"\n },\n {\n \"73367\": \"What is the occupation of Jon Feere?\"\n },\n {\n \"73368\": \"With what organization?\"\n },\n {\n \"73369\": \"Where?\"\n },\n {\n \"73370\": \"How long ago was the DREAMAct first proposed?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73351\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73352\",\n \"answer\": \"Illegal\"\n },\n {\n \"question_id\": \"73353\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"73354\",\n \"answer\": \"Well\"\n },\n {\n \"question_id\": \"73355\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"73356\",\n \"answer\": \"14 months old\"\n },\n {\n \"question_id\": \"73357\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73358\",\n \"answer\": \"More than a year ago.\"\n },\n {\n \"question_id\": \"73359\",\n \"answer\": \"Maryland\"\n },\n {\n \"question_id\": \"73360\",\n \"answer\": \"Medical\"\n },\n {\n \"question_id\": \"73361\",\n \"answer\": \"11 million\"\n },\n {\n \"question_id\": \"73362\",\n \"answer\": \"DREAMAct\"\n },\n {\n \"question_id\": \"73363\",\n \"answer\": \"Complete two years of college or join the military.\"\n },\n {\n \"question_id\": \"73364\",\n \"answer\": \"University of Texas\"\n },\n {\n \"question_id\": \"73365\",\n \"answer\": \"Conservative\"\n },\n {\n \"question_id\": \"73366\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73367\",\n \"answer\": \"Policy analyst\"\n },\n {\n \"question_id\": \"73368\",\n \"answer\": \"The Center for Immigration Studies\"\n },\n {\n \"question_id\": \"73369\",\n \"answer\": \"Washington\"\n },\n {\n \"question_id\": \"73370\",\n \"answer\": \"10 years 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 CHAPTER XXXIV \n\nLady Linlithgow at Home \n\nLucy, in her letter to her lover, had distinctly asked whether she might tell Lady Linlithgow the name of her future husband, but had received no reply when she was taken to Bruton Street. The parting at Richmond was very painful, and Lady Fawn had declared herself quite unable to make another journey up to London with the ungrateful runagate. Though there was no diminution of affection among the Fawns, there was a general feeling that Lucy was behaving badly. That obstinacy of hers was getting the better of her. Why should she have gone? Even Lord Fawn had expressed his desire that she should remain. And then, in the breasts of the wise ones, all faith in the Greystock engagement had nearly vanished. Another letter had come from Mrs. Hittaway, who now declared that it was already understood about Portray that Lady Eustace intended to marry her cousin. This was described as a terrible crime on the part of Lizzie, though the antagonistic crime of a remaining desire to marry Lord Fawn was still imputed to her. And, of course, the one crime heightened the other. So that words from the eloquent pen of Mrs. Hittaway failed to make dark enough the blackness of poor Lizzie's character. As for Mr. Greystock, he was simply a heartless man of the world, wishing to feather his nest. Mrs. Hittaway did not for a moment believe that he had ever dreamed of marrying Lucy Morris. Men always have three or four little excitements of that kind going on for the amusement of their leisure hours,--so, at least, said Mrs. Hittaway. \"The girl had better be told at once.\" Such was her decision about poor Lucy. \"I can't do more than I have done,\" said Lady Fawn to Augusta. \"She'll never get over it, mamma; never,\" said Augusta. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18050\": \"Who wrote to a lover?\"\n },\n {\n \"18051\": \"What did she ask?\"\n },\n {\n \"18052\": \"What was the reply?\"\n },\n {\n \"18053\": \"Where was Lucy taken?\"\n },\n {\n \"18054\": \"Where did she leave Lady Fawn?\"\n },\n {\n \"18055\": \"What was the overall view of Lucy's behavior?\"\n },\n {\n \"18056\": \"Who agreed with Lady Fawn's decision not to go with Lucy?\"\n },\n {\n \"18057\": \"Who else sent a letter?\"\n },\n {\n \"18058\": \"What did her letter say?\"\n },\n {\n \"18059\": \"What was Lizzie's take on the announcement?\"\n },\n {\n \"18060\": \"Is Mr. Greystock a good man?\"\n },\n {\n \"18061\": \"What does Mrs .Hittaway say about him and Lucy Morris?\"\n },\n {\n \"18062\": \"What is Lady Fawn and Augusta's relationship?\"\n },\n {\n \"18063\": \"Who feels she's done everything she could?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"18050\",\n \"answer\": \"Lucy,\"\n },\n {\n \"question_id\": \"18051\",\n \"answer\": \"if she could tell his name\"\n },\n {\n \"question_id\": \"18052\",\n \"answer\": \"there was no reply\"\n },\n {\n \"question_id\": \"18053\",\n \"answer\": \"Bruton Street\"\n },\n {\n \"question_id\": \"18054\",\n \"answer\": \"Richmond\"\n },\n {\n \"question_id\": \"18055\",\n \"answer\": \"bad\"\n },\n {\n \"question_id\": \"18056\",\n \"answer\": \"The Lord\"\n },\n {\n \"question_id\": \"18057\",\n \"answer\": \"Mrs. Hittaway\"\n },\n {\n \"question_id\": \"18058\",\n \"answer\": \"wanted to marry her cousin\"\n },\n {\n \"question_id\": \"18059\",\n \"answer\": \"terrible\"\n },\n {\n \"question_id\": \"18060\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"18061\",\n \"answer\": \"didnt want to get married\"\n },\n {\n \"question_id\": \"18062\",\n \"answer\": \"Her mother\"\n },\n {\n \"question_id\": \"18063\",\n \"answer\": \"Lady Fawn\"\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 \"Charles Chaplin was horn in London on April 16,1889.His parents were music ball actors. The Chaplin family were very poor,and life was difficult in London. Charlie,as his job was an actor. What he did was to do silly things to make called, used to do his mother's job in the theatre when she was ill. When he was only 17 years old,Chaplin got his first real job as an actor. What he did was to do silly things to make people laugh in the theatre.Seven years later he went to the USA. And over the next four years,he formed his own way of art. He developed the character of a homeless gentleman which became very popular. From the 1920s to the 19S0s.Chaplin made his most famous films. The film Modern Times(1936) shows his care about the modern industry workers. Many of his films describe the poor life and hard time of the working people during that period. Although Charlie Chaplin was British, he lived in the USA until 1953. But he never got US nationality. Then Chaplin ,his wife and his five children had to move to Switzerland where he lived until he died. When he was 83 years old,he won his only Oscar for the music he wrote for the film . He was named Sir Charles Chaplin at the age of 85. Charlie Chaplin died in Switzerland on December 25th,1975.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72721\": \"Where was Charles Chaplin born?\"\n },\n {\n \"72722\": \"When did he more to the United States?\"\n },\n {\n \"72723\": \"Did he become a U.S. citizen?\"\n },\n {\n \"72724\": \"did he have any children?\"\n },\n {\n \"72725\": \"how many?\"\n },\n {\n \"72726\": \"Can you tell me the name of one of his movies?\"\n },\n {\n \"72727\": \"Did he stay in the U.S. for the rest of his life?\"\n },\n {\n \"72728\": \"Where did he go?\"\n },\n {\n \"72729\": \"When did he move?\"\n },\n {\n \"72730\": \"Did he stay there for the rest of his life?\"\n },\n {\n \"72731\": \"when did he die?\"\n },\n {\n \"72732\": \"Did he win any awards?\"\n },\n {\n \"72733\": \"which one?\"\n },\n {\n \"72734\": \"how old was he when he died?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72721\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"72722\",\n \"answer\": \"When he was 24\"\n },\n {\n \"question_id\": \"72723\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72724\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72725\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"72726\",\n \"answer\": \"Modern Times\"\n },\n {\n \"question_id\": \"72727\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72728\",\n \"answer\": \"Switzerland\"\n },\n {\n \"question_id\": \"72729\",\n \"answer\": \"1953\"\n },\n {\n \"question_id\": \"72730\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72731\",\n \"answer\": \"December 25th,1975\"\n },\n {\n \"question_id\": \"72732\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72733\",\n \"answer\": \"an Oscar\"\n },\n {\n \"question_id\": \"72734\",\n \"answer\": \"86\"\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 am very hungry. I look for my mother. \n\nWhen is dinner? I ask. \n\nDinner is at six, my mother says. \n\nWhat can we eat? I ask. \n\nWe can pick food from our garden, she says. I help her pick corn, beans, and peas. \n\nThe corn is yellow and white. The beans are small and brown. The peas are green and round. \n\nI put the beans in a basket. I put the peas in a bowl. Mother brings the corn. We go inside. \n\nI have dirty hands. I wash my hands with soap and water. The water is warm. My hands are now clean. \n\nMother lets me stir the beans. I fill a pot with water. Mother puts the corn into the pot. She puts the pot on the stove. The water boils. \n\nMary is my sister. Mary puts four plates on the table. Each plate is blue. \n\nWe each eat two pieces of meat. I eat more corn than Mary. Mary eats more beans than our mother. \n\nWhat did you learn today? Mary asks. \n\nI can spell ten new words, I say. \n\nMary can only spell two words.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98627\": \"Do you have siblings?\"\n },\n {\n \"98628\": \"Who?\"\n },\n {\n \"98629\": \"What chore did she complete?\"\n },\n {\n \"98630\": \"What did she put down?\"\n },\n {\n \"98631\": \"What colour were they?\"\n },\n {\n \"98632\": \"Where did she put them?\"\n },\n {\n \"98633\": \"Where did they get the ingredients for dinner?\"\n },\n {\n \"98634\": \"What vegetables did they get?\"\n },\n {\n \"98635\": \"What do they look like?\"\n },\n {\n \"98636\": \"Where did they put them?\"\n },\n {\n \"98637\": \"Then where did they go?\"\n },\n {\n \"98638\": \"Who ate the most corn?\"\n },\n {\n \"98639\": \"And beans?\"\n },\n {\n \"98640\": \"How much did your mother eat?\"\n },\n {\n \"98641\": \"Who learned more today?\"\n },\n {\n \"98642\": \"What went onto the stove?\"\n },\n {\n \"98643\": \"What else was inside?\"\n },\n {\n \"98644\": \"What did it do next?\"\n },\n {\n \"98645\": \"How much meat was eaten?\"\n },\n {\n \"98646\": \"How many people eat?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98627\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98628\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"98629\",\n \"answer\": \"setting the table\"\n },\n {\n \"question_id\": \"98630\",\n \"answer\": \"four plates\"\n },\n {\n \"question_id\": \"98631\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"98632\",\n \"answer\": \"on the table\"\n },\n {\n \"question_id\": \"98633\",\n \"answer\": \"from the garden\"\n },\n {\n \"question_id\": \"98634\",\n \"answer\": \"corn and peas\"\n },\n {\n \"question_id\": \"98635\",\n \"answer\": \"The corn is yellow and white. The peas are green and round\"\n },\n {\n \"question_id\": \"98636\",\n \"answer\": \"in a bowl and inside\"\n },\n {\n \"question_id\": \"98637\",\n \"answer\": \"inside\"\n },\n {\n \"question_id\": \"98638\",\n \"answer\": \"I do\"\n },\n {\n \"question_id\": \"98639\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"98640\",\n \"answer\": \"fewer beans than Mary\"\n },\n {\n \"question_id\": \"98641\",\n \"answer\": \"I\"\n },\n {\n \"question_id\": \"98642\",\n \"answer\": \"the corn in the pot\"\n },\n {\n \"question_id\": \"98643\",\n \"answer\": \"water\"\n },\n {\n \"question_id\": \"98644\",\n \"answer\": \"boil\"\n },\n {\n \"question_id\": \"98645\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"98646\",\n \"answer\": \"Three\"\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 Japanese, they are usually referred to as bushi (武士?, [bu.ɕi]) or buke (武家?). According to translator William Scott Wilson: \"In Chinese, the character 侍 was originally a verb meaning \"to wait upon\" or \"accompany persons\" in the upper ranks of society, and this is also true of the original term in Japanese, saburau. In both countries the terms were nominalized to mean \"those who serve in close attendance to the nobility\", the pronunciation in Japanese changing to saburai. According to Wilson, an early reference to the word \"samurai\" appears in the Kokin Wakashū (905–914), the first imperial anthology of poems, completed in the first part of the 10th century. \n\nBy the end of the 12th century, samurai became almost entirely synonymous with bushi, and the word was closely associated with the middle and upper echelons of the warrior class. The samurai were usually associated with a clan and their lord, were trained as officers in military tactics and grand strategy, and they followed a set of rules that later came to be known as the bushidō. While the samurai numbered less than 10% of then Japan's population, their teachings can still be found today in both everyday life and in modern Japanese martial arts.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97070\": \"What percent of the population in Japan are samurai?\"\n },\n {\n \"97071\": \"Do they still have an impact today?\"\n },\n {\n \"97072\": \"How so?\"\n },\n {\n \"97073\": \"And anything else?\"\n },\n {\n \"97074\": \"What other country are they in?\"\n },\n {\n \"97075\": \"Is there a Japanese saying that means the same thing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97070\",\n \"answer\": \"less than 10%\"\n },\n {\n \"question_id\": \"97071\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97072\",\n \"answer\": \"both everyday life\"\n },\n {\n \"question_id\": \"97073\",\n \"answer\": \"in modern Japanese martial arts.\"\n },\n {\n \"question_id\": \"97074\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"97075\",\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) -- Former Olympic champion Angel Matos of Cuba faces a life ban after kicking a referee flush in the face during his taekwondo bronze medal match in Beijing. \n\nMatos reacted in extraordinary fashion to being disqualified by Chelbat. \n\nMatos, who took gold in Sydney in 2000, was winning 3-2, with just over a minute left in the second round, when he fell to the mat after being hit by his opponent, Kazakhstan's Arman Chilmanov. \n\nMatos lay down, awaiting medical attention, but was then disqualified by referee Chakir Chelbat of Sweden for taking too much injury time. \n\nA furious Matos reacted by pushing a judge, then pushed and kicked Chelbat in the face. \n\nIt left the Swede with blood pouring from his lip while Matos spat on the floor and was then escorted out of the arena. \n\n\"We didn't expect anything like what you have witnessed to occur,\" said World Taekwondo Federation secretary general Yang Jin-suk. \n\n\"I am at a loss for words,\" he told the Associated Press. \n\nMatos' coach, Leudis Gonzalez, is also in hot water for his angry reaction and claiming the Kazakhs had tried to fix the match. \n\n\"This is an insult to the Olympic vision, an insult to the spirit of taekwondo and, in my opinion, an insult to mankind,\" Yang added. \n\nAlthough the arena announcer said Matos and his coach were banned effective immediately, Yang said due process must be followed before officially banning the two. \n\nIt was not the only controversial moment in the four-day taekwondo competition, which was marred by several protests against judging decisions. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62555\": \"was Matos disqualified?\"\n },\n {\n \"62556\": \"who disqualified him?\"\n },\n {\n \"62557\": \"was matos happy about it?\"\n },\n {\n \"62558\": \"who did he kick in the face?\"\n },\n {\n \"62559\": \"what metal was he pursuing?\"\n },\n {\n \"62560\": \"did security expect matos to act out?\"\n },\n {\n \"62561\": \"what did the secretary general say about it?\"\n },\n {\n \"62562\": \"who did he tell?\"\n },\n {\n \"62563\": \"who is matos coach?\"\n },\n {\n \"62564\": \"is he in trouble too?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62555\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"62556\",\n \"answer\": \"the announcer\"\n },\n {\n \"question_id\": \"62557\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62558\",\n \"answer\": \"Chelbat\"\n },\n {\n \"question_id\": \"62559\",\n \"answer\": \"bronze medal\"\n },\n {\n \"question_id\": \"62560\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62561\",\n \"answer\": \"He didn't expect it and was at a loss for words.\"\n },\n {\n \"question_id\": \"62562\",\n \"answer\": \"Associated Press\"\n },\n {\n \"question_id\": \"62563\",\n \"answer\": \"Leudis Gonzalez\"\n },\n {\n \"question_id\": \"62564\",\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 Andrew Carneigie, known as the King of Steel, built the steel industry in the United States, and, in the process, became one of the wealthiest men in America. His success resulted partly from his ability to sell the product and partly from his policy of expanding during periods of economic decline, when most of his competitors were reducing their investments. Carnegie believed that individuals should progress through hard work, but he also felt strongly that the wealthy should use their fortunes for the benefit of society. He opposed charity, preferring instead to provide educational opportunities that would allow others to help themselves. \"He who dies rich, dies disgraced\", he often said. Among his more noteworthy contributions to society are those that bear his name, including the Carnegie Institute of Pittsburgh, which has a library, a museum of fine arts, and a museum of national history. He also founded a school of technology that is now part of Carnegie-Mellon University. Other philanthropic gifts are the Carnegie Endowment for International Peace to promote understanding between nations, the Carnegie Institute of Washington to fund scientific research, and Carnegie Hall to provide a center for the arts. _ . His contributions of more than five million dollars established 2,500 libraries in small communities throughout the country and formed the nucleus of the public library system that we all enjoy today.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41941\": \"Who was given a royal nickname?\"\n },\n {\n \"41942\": \"What was it?\"\n },\n {\n \"41943\": \"Was he a poor man?\"\n },\n {\n \"41944\": \"How much money did he have?\"\n },\n {\n \"41945\": \"How did he make his money?\"\n },\n {\n \"41946\": \"In which country?\"\n },\n {\n \"41947\": \"Was he a greedy man?\"\n },\n {\n \"41948\": \"How so?\"\n },\n {\n \"41949\": \"How did he feel about people being greedy?\"\n },\n {\n \"41950\": \"Did he support any charities?\"\n },\n {\n \"41951\": \"Why not?\"\n },\n {\n \"41952\": \"How did he think you should help others?\"\n },\n {\n \"41953\": \"Did he provide any of those educational opportunities?\"\n },\n {\n \"41954\": \"What are some of those?\"\n },\n {\n \"41955\": \"What about internationally?\"\n },\n {\n \"41956\": \"What is that?\"\n },\n {\n \"41957\": \"And what is their aim?\"\n },\n {\n \"41958\": \"How many libraries were established due to his philanthropy\"\n },\n {\n \"41959\": \"Where are the majority located?\"\n },\n {\n \"41960\": \"Did he contribute less than a million dollars?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41941\",\n \"answer\": \"Andrew Carneigie\"\n },\n {\n \"question_id\": \"41942\",\n \"answer\": \"King of Steel\"\n },\n {\n \"question_id\": \"41943\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41944\",\n \"answer\": \"One of the wealthiest men in America\"\n },\n {\n \"question_id\": \"41945\",\n \"answer\": \"The steel industry\"\n },\n {\n \"question_id\": \"41946\",\n \"answer\": \"United States,\"\n },\n {\n \"question_id\": \"41947\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"41948\",\n \"answer\": \"but he also felt strongly that the wealthy should use their fortunes for the benefit of society.\"\n },\n {\n \"question_id\": \"41949\",\n \"answer\": \"\\\"He who dies rich, dies disgraced\\\",\"\n },\n {\n \"question_id\": \"41950\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"41951\",\n \"answer\": \"He opposed charity\"\n },\n {\n \"question_id\": \"41952\",\n \"answer\": \"By providing educational opportunities that would allow others to help themselves\"\n },\n {\n \"question_id\": \"41953\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"41954\",\n \"answer\": \"Carnegie Institute of Pittsburgh, Carnegie-Mellon University.\"\n },\n {\n \"question_id\": \"41955\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"41956\",\n \"answer\": \"Carnegie Endowment for International Peace\"\n },\n {\n \"question_id\": \"41957\",\n \"answer\": \"Understanding between the nations\"\n },\n {\n \"question_id\": \"41958\",\n \"answer\": \"2,500\"\n },\n {\n \"question_id\": \"41959\",\n \"answer\": \"Small communities throughout the country\"\n },\n {\n \"question_id\": \"41960\",\n \"answer\": \"More than five 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 Ellie and her grandfather went to the beach late in the afternoon. \n\n\"Why are we going to the beach, Grandpa?\" Ellie asked. \n\nHe smiled a big old smile. \"We're looking for treasure,\" he said. He carried two small plastic shovels and a basket. \n\n\"What's in the basket?\" she asked. \n\n\"Some pie and soda to celebrate when we find our treasure.\" He gave his granddaughter a happy laugh. \n\nThey picked a spot and started digging. They found only sand. \n\nThey picked another spot by some rocks and found all sorts of small and interesting little stones. Ellie grinned at their odd shapes and colors. \n\nThey dug further away from the water and found an old bottle. Ellie threw it away into the trash can. \n\nThey dug closer to the water and found many sea shells. Ellie clapped happily at how smooth and nice they felt. \n\nThey had much fun digging, but it started to get late. Her grandpa seemed sad. \"We did not find any treasure after all,\" he said. \n\n\"How about that, grandpa?\" she said, pointing toward the pretty sunset that made the water appear yellow and bright. \n\nHe grandfather laughed. \"That is a great treasure after all.\" \n\nEllie and her grandfather laughed and hugged. They ate pie happily and watched the sun set.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49511\": \"When did they go to the beach?\"\n },\n {\n \"49512\": \"Who?\"\n },\n {\n \"49513\": \"What did they bring?\"\n },\n {\n \"49514\": \"Did they have fun?\"\n },\n {\n \"49515\": \"Why did they go to the beach?\"\n },\n {\n \"49516\": \"Did they find it?\"\n },\n {\n \"49517\": \"Where was it?\"\n },\n {\n \"49518\": \"What did they find in the sky?\"\n },\n {\n \"49519\": \"Did they look anywhere else?\"\n },\n {\n \"49520\": \"Did they find anything?\"\n },\n {\n \"49521\": \"How many places did they look?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49511\",\n \"answer\": \"The afternoon\"\n },\n {\n \"question_id\": \"49512\",\n \"answer\": \"Ellie and her grandfather\"\n },\n {\n \"question_id\": \"49513\",\n \"answer\": \"Two shovels, a basket, pie, and soda.\"\n },\n {\n \"question_id\": \"49514\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49515\",\n \"answer\": \"To look for treasure\"\n },\n {\n \"question_id\": \"49516\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49517\",\n \"answer\": \"In the sky.\"\n },\n {\n \"question_id\": \"49518\",\n \"answer\": \"A sunset.\"\n },\n {\n \"question_id\": \"49519\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49520\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49521\",\n \"answer\": \"Four.\"\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 IV \n\nTHE CHASE ON THE LAKE \n\n\"He means to give us as much of a chase as possible,\" remarked Tom, as he glanced over his shoulder. \"If I remember rightly, Baxter was always a pretty fair oarsman.\" \n\n\"Yes, that was the one thing he could do well,\" returned Dick. \"But we ought to be able to catch him, Tom.\" \n\n\"We could if we had two pairs of oars. One pair can do just about so much and no more.\" \n\n\"Nonsense! Now, both together, and put all your muscle into it,\" and Dick set a stiff stroke that his brother followed with difficulty. \n\nBaxter had been rowing down the lake, but as soon as he saw that he was being pursued he changed his course for the east shore. He was settled to his work, and for several minutes it was hard to tell whether he was holding his own or losing. \n\n\"Hurrah! we are catching up!\" cried Dick, after pulling for five minutes. \"Keep at it, Tom, and we'll have him before he is half over.\" \n\n\"Gosh, but it's hot work!\" came with a pant from Tom Rover. \"He must be almost exhausted to row like that.\" \n\n\"He knows what he has at stake. He sees the prison cell staring him in the face again. You'd do your best, too, if you were in his place.\" \n\n\"I'm doing my best now, Dick. On we go!\" and Tom renewed his exertions. Dick set a faster stroke than ever, having caught his second wind, and the rowboat flew over the calm surface of the lake like a thing of life. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"895\": \"Who said He means to give us as much chase as possible?\"\n },\n {\n \"896\": \"What would of helped the catch up to Baxter?\"\n },\n {\n \"897\": \"Was Baxter a pretty good oarsman?\"\n },\n {\n \"898\": \"What was he doing before noticing he was being persued?\"\n },\n {\n \"899\": \"What did he do once he noticed?\"\n },\n {\n \"900\": \"What was said ti encourage Tom even though they only had one pair of oars?\"\n },\n {\n \"901\": \"Was the rowing tiring to Tom?\"\n },\n {\n \"902\": \"What did he say about it?\"\n },\n {\n \"903\": \"What did the rowboat do after a second wind was caught?\"\n },\n {\n \"904\": \"Was it hard to tell for Baxter if he was holding his own or losing?\"\n },\n {\n \"905\": \"What did Tom say regarding how tired Baxter should of been?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"895\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"896\",\n \"answer\": \"Having two pairs of oars\"\n },\n {\n \"question_id\": \"897\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"898\",\n \"answer\": \"Baxter had been rowing down the lake,\"\n },\n {\n \"question_id\": \"899\",\n \"answer\": \"he changed his course for the east shore\"\n },\n {\n \"question_id\": \"900\",\n \"answer\": \"\\\"Nonsense! Now, both together, and put all your muscle into it,\"\n },\n {\n \"question_id\": \"901\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"902\",\n \"answer\": \"\\\"Gosh, but it's hot work!\\\"\"\n },\n {\n \"question_id\": \"903\",\n \"answer\": \"flew over the calm surface of the lake like a thing of life.\"\n },\n {\n \"question_id\": \"904\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"905\",\n \"answer\": \"\\\"He must be almost exhausted to row like that.\\\"\"\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 two Bangs meet \n\nSheldon Cooper is a scientific genius on the popular American TV show, The Big Bang Theory (<<>> ). He finally met his match last year: Stephen Hawking. \n\nThis is not the first time that the scientist has appeared on TV. He has also been on Star Trek (in 1987) and The Simpsons (in 1989). Each time, he played himself. \n\nHawking, 71, is perhaps the world's most famous scientist after Albert Einstein. He has spent his whole life studying the beginning and the end of the universe, including the Big Bang theory. \n\nThe Big Bang theory explains the early development of the universe. According to the theory, about 13.7 billion years ago everything was all squeezed together in a tiny, tight little ball, and then the ball exploded. The results of that explosion are what we call the universe. \n\nHawking has always tried to make science more popular with people. His book: A Brief History of Time was published in 1988. In the book he shares his understanding of the universe in simple language. The book tries to explain many subjects about the universe to common readers, including the Big Bang, black holes and light cones . \n\nHawking's achievements are even greater if you think about his disability. When he was 21, Hawking caught a bad illness that slowly stopped him from moving or talking. Now he sits on a wheelchair with a computer by his side. To communicate, he moves two fingers to control the computer's mouse. He chooses his words from the screen, which are then spoken by a voice synthesizer . \n\nHawking also believes that there might be aliens in space. However, he believes they are probably very dangerous, so we should not look for them. \"I imagine they might exist in very big ships ... having used up all the resources from their home planet,\" Hawking said in a British documentary named Into the Universe with Stephen Hawking.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13630\": \"Who met his match last year?\"\n },\n {\n \"13631\": \"Is he a real person?\"\n },\n {\n \"13632\": \"What show is his character on?\"\n },\n {\n \"13633\": \"Who did he meet?\"\n },\n {\n \"13634\": \"What other shows has he been on?\"\n },\n {\n \"13635\": \"When was he on Star Trek?\"\n },\n {\n \"13636\": \"And the Simpsons?\"\n },\n {\n \"13637\": \"Is he the most reckognizable scientist?\"\n },\n {\n \"13638\": \"Who might be a tad more well known?\"\n },\n {\n \"13639\": \"What exploded in theory?\"\n },\n {\n \"13640\": \"Was it a large ball?\"\n },\n {\n \"13641\": \"How big was it?\"\n },\n {\n \"13642\": \"When did this likely occur?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13630\",\n \"answer\": \"Sheldon Cooper\"\n },\n {\n \"question_id\": \"13631\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13632\",\n \"answer\": \"The Big Bang Theory\"\n },\n {\n \"question_id\": \"13633\",\n \"answer\": \"Stephen Hawking.\"\n },\n {\n \"question_id\": \"13634\",\n \"answer\": \"Star Trek and The Simpsons\"\n },\n {\n \"question_id\": \"13635\",\n \"answer\": \"1987\"\n },\n {\n \"question_id\": \"13636\",\n \"answer\": \"1989\"\n },\n {\n \"question_id\": \"13637\",\n \"answer\": \"perhaps\"\n },\n {\n \"question_id\": \"13638\",\n \"answer\": \"Albert Einstein\"\n },\n {\n \"question_id\": \"13639\",\n \"answer\": \"the ball\"\n },\n {\n \"question_id\": \"13640\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13641\",\n \"answer\": \"little\"\n },\n {\n \"question_id\": \"13642\",\n \"answer\": \"about 13.7 billion years 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 During the 14th century in the northeastern part of the state nomad tribes by the name of Jornado hunted bison along the Rio Grande; they left numerous rock paintings throughout the northeastern part of the state. When the Spanish explorers reached this area they found their descendants, Suma and Manso tribes. In the southern part of the state, in a region known as Aridoamerica, Chichimeca people survived by hunting, gathering, and farming between AD 300 and 1300. The Chichimeca are the ancestors of the Tepehuan people. \n\nDuring the Napoleonic Occupation of Spain, Miguel Hidalgo y Costilla, a Catholic priest of progressive ideas, declared Mexican independence in the small town of Dolores, Guanajuato on September 16, 1810 with a proclamation known as the \"Grito de Dolores\". Hidalgo built a large support among intellectuals, liberal priests and many poor people. Hidalgo fought to protect the rights of the poor and indigenous population. He started on a march to the capital, Mexico City, but retreated back north when faced with the elite of the royal forces at the outskirts of the capital. He established a liberal government from Guadalajara, Jalisco but was soon forced to flee north by the royal forces that recaptured the city. Hidalgo attempted to reach the United States and gain American support for Mexican independence. HIdalgo reached Saltillo, Coahuila where he publicly resigned his military post and rejected a pardon offered by Viceroy Francisco Venegas in return for Hidalgo's surrender. A short time later, he and his supporters were captured by royalist Ignacio Elizondo at the Wells of Baján (Norias de Baján) on March 21, 1811 and taken to the city of Chihuahua. Hidalgo forced the Bishop of Valladolid, Manuel Abad y Queipo, to rescind the excommunication order he had circulated against him on September 24, 1810. Later, the Inquisition issued an excommunication edict on October 13, 1810 condemning Miguel Hidalgo as a seditionary, apostate, and heretic.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99048\": \"Who was the progressive Catholic?\"\n },\n {\n \"99049\": \"What did he do in Dolores?\"\n },\n {\n \"99050\": \"When?\"\n },\n {\n \"99051\": \"What was the document called that made declaration?\"\n },\n {\n \"99052\": \"How many groups did he get help from?\"\n },\n {\n \"99053\": \"Did he start his journey in Guadalupe?\"\n },\n {\n \"99054\": \"Where did he start it?\"\n },\n {\n \"99055\": \"Did he ever resign his spot in the military?\"\n },\n {\n \"99056\": \"Where?\"\n },\n {\n \"99057\": \"Was he excommunicated?\"\n },\n {\n \"99058\": \"When?\"\n },\n {\n \"99059\": \"By who?\"\n },\n {\n \"99060\": \"Did they give four reasons for this?\"\n },\n {\n \"99061\": \"How many?\"\n },\n {\n \"99062\": \"What were they?\"\n },\n {\n \"99063\": \"Are other wanders mentioned?\"\n },\n {\n \"99064\": \"Who was the capturer?\"\n },\n {\n \"99065\": \"Where did this happen?\"\n },\n {\n \"99066\": \"On what date?\"\n },\n {\n \"99067\": \"Were the detainees moved to Tijuana?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99048\",\n \"answer\": \"Miguel Hidalgo y Costilla\"\n },\n {\n \"question_id\": \"99049\",\n \"answer\": \"He fought to protect the rights of the poor and indigenous population\"\n },\n {\n \"question_id\": \"99050\",\n \"answer\": \"September 16, 1810\"\n },\n {\n \"question_id\": \"99051\",\n \"answer\": \"Grito de Dolores\"\n },\n {\n \"question_id\": \"99052\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"99053\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99054\",\n \"answer\": \"Dolores, Guanajuato\"\n },\n {\n \"question_id\": \"99055\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99056\",\n \"answer\": \"Saltillo, Coahuila\"\n },\n {\n \"question_id\": \"99057\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99058\",\n \"answer\": \"October 13, 1810\"\n },\n {\n \"question_id\": \"99059\",\n \"answer\": \"The Inquisition\"\n },\n {\n \"question_id\": \"99060\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99061\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"99062\",\n \"answer\": \"a seditionary, apostate, and heretic.\"\n },\n {\n \"question_id\": \"99063\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"99064\",\n \"answer\": \"Ignacio Elizondo\"\n },\n {\n \"question_id\": \"99065\",\n \"answer\": \"Wells of Baj\\u00e1n (Norias de Baj\\u00e1n)\"\n },\n {\n \"question_id\": \"99066\",\n \"answer\": \"March 21, 1811\"\n },\n {\n \"question_id\": \"99067\",\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 Tuesdays during the summer tickets are buy one get one free at the city zoo. Jason loves animals, so his dad takes him to the zoo every Tuesday in the summer. This Tuesday Jason's dad is feeling sick so his mommy has to take him to the zoo. There is also a new animal that Jason can't wait to see; a rattle snake. Tuesday morning Jason's mommy wakes him up, and they get in the car to drive to the zoo. On the car ride Jason's favorite song \"The Wheels on the Bus\" plays on the radio. Jason's mommy turns the radio louder and they sing the song together. When they get to the zoo they go straight to the rattle snake cage, but when they get there they don't see any rattle snakes. They look around for a little bit, and all they see are some eggs. A man who works at the zoo tells them that the rattle snake must be sleeping and that it hides when it sleeps. Jason is sad because he might not get to see the rattle snake today. They walk away from the rattle snake cage and Jason's mommy buys Jason an ice cream cone to cheer him up. After walking around the zoo and seeing other animals like a bear and a monkey, Jason wants to check the rattle snake cage one more time. They get to the cage and to Jason's surprise the rattle snake is awake and moving around. Not only does he get to see the snake, but a baby is being born from one of the eggs too. Jason is very happy and excited about what he saw in the rattle snake cage and can't wait to get home and tell his dad.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81309\": \"Who loves animals?\"\n },\n {\n \"81310\": \"Where are tickets buy one get one free?\"\n },\n {\n \"81311\": \"When?\"\n },\n {\n \"81312\": \"Who takes Jason to the zoo this Tuesday?\"\n },\n {\n \"81313\": \"Is this usual?\"\n },\n {\n \"81314\": \"Why?\"\n },\n {\n \"81315\": \"How does he get to the zoo?\"\n },\n {\n \"81316\": \"Why does his mom turn the radio up?\"\n },\n {\n \"81317\": \"What tune is that?\"\n },\n {\n \"81318\": \"What do they do when they arrive?\"\n },\n {\n \"81319\": \"Were they thrilled?\"\n },\n {\n \"81320\": \"Why not?\"\n },\n {\n \"81321\": \"What cheers him up?\"\n },\n {\n \"81322\": \"From who?\"\n },\n {\n \"81323\": \"Did they visit other animals?\"\n },\n {\n \"81324\": \"How many?\"\n },\n {\n \"81325\": \"What surprised him?\"\n },\n {\n \"81326\": \"What else?\"\n },\n {\n \"81327\": \"What does he want to do next?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81309\",\n \"answer\": \"Jason\"\n },\n {\n \"question_id\": \"81310\",\n \"answer\": \"the city zoo\"\n },\n {\n \"question_id\": \"81311\",\n \"answer\": \"Tuesdays during the summer\"\n },\n {\n \"question_id\": \"81312\",\n \"answer\": \"his mommy\"\n },\n {\n \"question_id\": \"81313\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81314\",\n \"answer\": \"because his dad is feeling sick\"\n },\n {\n \"question_id\": \"81315\",\n \"answer\": \"in the car\"\n },\n {\n \"question_id\": \"81316\",\n \"answer\": \"because Jason's favorite song is on the radio\"\n },\n {\n \"question_id\": \"81317\",\n \"answer\": \"\\\"The Wheels on the Bus\\\"\"\n },\n {\n \"question_id\": \"81318\",\n \"answer\": \"they go straight to the rattle snake cage\"\n },\n {\n \"question_id\": \"81319\",\n \"answer\": \"Jason is sad because he might not get to see the rattle snake today.\"\n },\n {\n \"question_id\": \"81320\",\n \"answer\": \"a man who works there tells them the snakes are sleeping\"\n },\n {\n \"question_id\": \"81321\",\n \"answer\": \"ice cream\"\n },\n {\n \"question_id\": \"81322\",\n \"answer\": \"his mom\"\n },\n {\n \"question_id\": \"81323\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81324\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"81325\",\n \"answer\": \"the rattle snake is awake\"\n },\n {\n \"question_id\": \"81326\",\n \"answer\": \"a baby is being born from one of the eggs\"\n },\n {\n \"question_id\": \"81327\",\n \"answer\": \"tell his dad\"\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 XII \n\nMOVING ON \n\n\"Here's a letter from my dear old friend Silas Watson,\" said Uncle John, delightedly. \"It's from Palermo, where he has been staying with his ward--and your friend, girls--Kenneth Forbes, and he wants me to lug you all over to Sicily at once.\" \n\n\"That's jolly,\" said Patsy, with a bright smile. \"I'd like to see Kenneth again.\" \n\n\"I suppose he is a great artist, by this time,\" said Beth, musingly. \n\n\"How singular!\" exclaimed Louise. \"Count Ferralti told me only this morning that he had decided to go to Palermo.\" \n\n\"Really?\" said Uncle John. \n\n\"Yes, Uncle. Isn't it a coincidence?\" \n\n\"Why, as for that,\" he answered, slowly, \"I'm afraid it will prevent our seeing the dear count--or whatever he is--again, at least for some time. For Mr. Watson and Kenneth are just leaving Palermo, and he asks us to meet him in another place altogether, a town called--called--let me see; Tormenti, or Terminal, or something.\" \n\n\"Give me the letter, dear,\" said Patsy. \"I don't believe it's Terminal at all. Of course not,\" consulting the pages, \"it's Taormina.\" \n\n\"Is that in Sicily?\" he asked. \n\n\"Yes. Listen to what Mr. Watson says: 'I'm told it is the most beautiful spot in the world, which is the same thing you hear about most beautiful places. It is eight hundred feet above the Mediterranean and nestles peacefully in the shadow of Mount Etna.'\" \n\n\"Etna!\" cried Uncle John, with a start. \"Isn't that another volcano?\" \n\n\"To be sure,\" said Beth, the geographer. \"Etna is the biggest volcano in the world.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81209\": \"What is Etna?\"\n },\n {\n \"81210\": \"a small one?\"\n },\n {\n \"81211\": \"what size?\"\n },\n {\n \"81212\": \"Did Uncle John sound happy about that?\"\n },\n {\n \"81213\": \"Who was the letter from?\"\n },\n {\n \"81214\": \"a stranger>\"\n },\n {\n \"81215\": \"a relation?\"\n },\n {\n \"81216\": \"where was it writen?\"\n },\n {\n \"81217\": \"was he alone?\"\n },\n {\n \"81218\": \"who was he with?\"\n },\n {\n \"81219\": \"who is called?\"\n },\n {\n \"81220\": \"what's the ward's name\"\n },\n {\n \"81221\": \"how many girls are there?\"\n },\n {\n \"81222\": \"what are their names?\"\n },\n {\n \"81223\": \"who has just decided to go to Palermo\"\n },\n {\n \"81224\": \"Where were the people in palermo traveling to next?\"\n },\n {\n \"81225\": \"what did Uncle John call it?\"\n },\n {\n \"81226\": \"who read it correcly?\"\n },\n {\n \"81227\": \"how high up is it?\"\n },\n {\n \"81228\": \"is it ugly?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81209\",\n \"answer\": \"a volcano\"\n },\n {\n \"question_id\": \"81210\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81211\",\n \"answer\": \"biggest in the world\"\n },\n {\n \"question_id\": \"81212\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81213\",\n \"answer\": \"Silas Watson\"\n },\n {\n \"question_id\": \"81214\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81215\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81216\",\n \"answer\": \"Palermo\"\n },\n {\n \"question_id\": \"81217\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81218\",\n \"answer\": \"his ward\"\n },\n {\n \"question_id\": \"81219\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"81220\",\n \"answer\": \"Kenneth Forbes\"\n },\n {\n \"question_id\": \"81221\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"81222\",\n \"answer\": \"Louise, Patsy and Beth.\"\n },\n {\n \"question_id\": \"81223\",\n \"answer\": \"Count Ferralti\"\n },\n {\n \"question_id\": \"81224\",\n \"answer\": \"Taormina\"\n },\n {\n \"question_id\": \"81225\",\n \"answer\": \"Tormenti, or Terminal\"\n },\n {\n \"question_id\": \"81226\",\n \"answer\": \"Patsy\"\n },\n {\n \"question_id\": \"81227\",\n \"answer\": \"eight hundred feet above the Mediterranean\"\n },\n {\n \"question_id\": \"81228\",\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 XIII \n\nLOST IN THE SNOW \n\n\"The ice-boat's gone!\" \n\n\"Get back, boys, or we'll all be in the water!\" \n\nCa-a-ac-ck! A long warning sound rang through the snow-laden air and the party of five felt the surface of the ice parting beneath them. They turned and sped away from the water with all the speed at their command, and soon the dangerous spot was left behind, but not before poor Hans had lost his cap and Sam had gotten his left foot wet to the ankle. \n\n\"By jinks! but that was a narrow shave!\" gasped Dick, when they were safe. \"A little more and all of us would have been under the ice.\" \n\n\"And that would have cost us our lives!\" said Frank solemnly. \"Boys, I don't believe I'll ever want to go ice-boating again.\" \n\n\"Mine cap vos gone,\" growled the German cadet dismally. \"How vos I going to keep mine head from freezing, tole me dot, vill you?\" \n\n\"That's rough on you,\" said Tom. \"Here, take my tippet and tie that around your head and ears.\" And he took the article in question and handed it over. \n\n\"Dank you, Tom, you vos a goot feller. But vot you vos do to keep your neck varm, hey?\" \n\n\"Here's a silk handkerchief, he can wear that,\" said Dick. \"But I say, fellows,\" he went on. \"I think we are mixed up now and no mistake.\" \n\n\"I am sure I am,\" answered Frank. \"I haven't the least idea where the shore is.\" \n\n\"Nor I,\" came from Tom. \"We'll have to go at it in a hit-or-miss fashion.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34871\": \"What did Tom give the German cadet?\"\n },\n {\n \"34872\": \"What did he tell him to do with it?\"\n },\n {\n \"34873\": \"Was the German cadet concerned that Tom would be cold?\"\n },\n {\n \"34874\": \"What did Dick give to Tom?\"\n },\n {\n \"34875\": \"Does Frank know where the shore is located?\"\n },\n {\n \"34876\": \"What about Tom?\"\n },\n {\n \"34877\": \"What broke underneath the men?\"\n },\n {\n \"34878\": \"What sound did the ice make?\"\n },\n {\n \"34879\": \"What did the men do when they heard the sound?\"\n },\n {\n \"34880\": \"What did Hans lose?\"\n },\n {\n \"34881\": \"What happened to Sam's foot?\"\n },\n {\n \"34882\": \"Does Frank want to to ice-boating after this experience?\"\n },\n {\n \"34883\": \"What is the name of the German cadet?\"\n },\n {\n \"34884\": \"What does Tom suggest in order to locate the shore?\"\n },\n {\n \"34885\": \"Did the men get away from the dangerous location?\"\n },\n {\n \"34886\": \"What was Hans concerned would happen without his cap?\"\n },\n {\n \"34887\": \"What did Dick say would happen if they hadn't gotten away in time?\"\n },\n {\n \"34888\": \"Did Frank think that would have killed the men?\"\n },\n {\n \"34889\": \"Did Tom give his tippet to Hans?\"\n },\n {\n \"34890\": \"What did Hans call Tom?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34871\",\n \"answer\": \"his tippet\"\n },\n {\n \"question_id\": \"34872\",\n \"answer\": \"tie that around your head and ears\"\n },\n {\n \"question_id\": \"34873\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34874\",\n \"answer\": \"a silk handkerchief\"\n },\n {\n \"question_id\": \"34875\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34876\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34877\",\n \"answer\": \"The ice-boat\"\n },\n {\n \"question_id\": \"34878\",\n \"answer\": \"Ca-a-ac-ck!\"\n },\n {\n \"question_id\": \"34879\",\n \"answer\": \"They turned and sped away\"\n },\n {\n \"question_id\": \"34880\",\n \"answer\": \"his cap\"\n },\n {\n \"question_id\": \"34881\",\n \"answer\": \"it was wet to the ankle\"\n },\n {\n \"question_id\": \"34882\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34883\",\n \"answer\": \"Hans\"\n },\n {\n \"question_id\": \"34884\",\n \"answer\": \"to go at it in a hit-or-miss fashion\"\n },\n {\n \"question_id\": \"34885\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34886\",\n \"answer\": \"his head might be freezing\"\n },\n {\n \"question_id\": \"34887\",\n \"answer\": \"all of us would have been under the ice\"\n },\n {\n \"question_id\": \"34888\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34889\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34890\",\n \"answer\": \"a goot feller\"\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) -- A former security guard told CNN on Monday that he was unjustly fired after he took pictures of President Barack Obama's motorcade during a visit to Atlanta in September. \n\nKenneth Tate worked for a private security firm when President Obama visited the Centers for Disease Control and Prevention on September 16. \n\nHe told CNN's Brooke Baldwin in an exclusive television interview that he stuck to his assigned duties and tried to take photos after he was done escorting President Obama. \n\nMembers of Congress were upset when the media reported last month that Tate had a .40-caliber handgun while in an elevator with the President. That report, coupled with news of an incident in which a man jumped a fence and made it into the White House, led to the resignation of Secret Service Director Julia Pierson. \n\nTate said he was issued a weapon by his security firm on the morning of the President's visit, but no one told him it was a violation of Secret Service protocol for him to carry a gun, he said. \n\nTate's lawyer, Christopher Chestnut, said his client was fired unjustly for leaving his post. \n\n\"He should never have lost his job for doing what he was supposed to do,\" Chestnut said. He added that Tate is not a felon, contrary to prior media reports. \n\nTate said he was supposed to take the President to two different floors of one of the CDC buildings. \n\n\"Those tasks I carried out,\" he told CNN. He said he also was asked to escort some Secret Service agents to the roof and other locations \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53051\": \"What was Kenneth's former job?\"\n },\n {\n \"53052\": \"Why does he think he was let go?\"\n },\n {\n \"53053\": \"In which city?\"\n },\n {\n \"53054\": \"What station did he give an interview to?\"\n },\n {\n \"53055\": \"What did the media also say he did?\"\n },\n {\n \"53056\": \"Whose his lawyer?\"\n },\n {\n \"53057\": \"Was Tate a felon?\"\n },\n {\n \"53058\": \"What building was Obama visiting?\"\n },\n {\n \"53059\": \"How many floors was Obama on?\"\n },\n {\n \"53060\": \"Did Tate escort him to those?\"\n },\n {\n \"53061\": \"Did he also escort some agents to the basement?\"\n },\n {\n \"53062\": \"Who was the director that resigned from the Secret Service?\"\n },\n {\n \"53063\": \"What did a man do that led to that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53051\",\n \"answer\": \"A security guard\"\n },\n {\n \"question_id\": \"53052\",\n \"answer\": \"he took pictures of President Barack Obama's motorcade\"\n },\n {\n \"question_id\": \"53053\",\n \"answer\": \"Atlanta\"\n },\n {\n \"question_id\": \"53054\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"53055\",\n \"answer\": \"He had a .40-caliber handgun while in an elevator with the President\"\n },\n {\n \"question_id\": \"53056\",\n \"answer\": \"Christopher Chestnut\"\n },\n {\n \"question_id\": \"53057\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53058\",\n \"answer\": \"the Centers for Disease Control and Prevention\"\n },\n {\n \"question_id\": \"53059\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"53060\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53061\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53062\",\n \"answer\": \"Julia Pierson.\"\n },\n {\n \"question_id\": \"53063\",\n \"answer\": \"jumped a fence and made it into the White House\"\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 term Reconstruction Era, in the context of the history of the United States, has two senses: the first covers the complete history of the entire country from 1865 to 1877 following the American Civil War (1861 to 1865); the second sense focuses on the attempted transformation of the Southern United States from 1863 to 1877, as directed by Congress, with the reconstruction of state and society. With the three Reconstruction Amendments, the era saw the first amendments to the U.S. Constitution in decades. \n\nThree visions of Civil War memory appeared during Reconstruction: the reconciliationist vision, which was rooted in coping with the death and devastation the war had brought; the white supremacist vision, which included terror and violence; and the emancipationist vision, which sought full freedom, citizenship and Constitutional equality for African Americans. \n\nPresidents Abraham Lincoln and Andrew Johnson both took moderate positions designed to bring the South back into the union as quickly as possible, while Radical Republicans in Congress sought stronger measures to upgrade the rights of African Americans, including the Fourteenth Amendment to the United States Constitution, while curtailing the rights of former Confederates, such as through the provisions of the Wade–Davis Bill. Johnson followed a lenient policy toward ex-Confederates. Lincoln's last speeches show that he was leaning toward supporting the enfranchisement of all freedmen, whereas Johnson was opposed to this.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24496\": \"How many ways did we look at the Reconstruction Era?\"\n },\n {\n \"24497\": \"What years does the first one span?\"\n },\n {\n \"24498\": \"What event preceded this?\"\n },\n {\n \"24499\": \"When was that?\"\n },\n {\n \"24500\": \"How much of the country does this version cover?\"\n },\n {\n \"24501\": \"What part does the other version concern?\"\n },\n {\n \"24502\": \"What years?\"\n },\n {\n \"24503\": \"Who was trying change the south?\"\n },\n {\n \"24504\": \"What did they use?\"\n },\n {\n \"24505\": \"How many?\"\n },\n {\n \"24506\": \"What were they amending?\"\n },\n {\n \"24507\": \"How long had it been since it was amended?\"\n },\n {\n \"24508\": \"What kind of position did Lincoln have?\"\n },\n {\n \"24509\": \"What did he want to reunite?\"\n },\n {\n \"24510\": \"With what?\"\n },\n {\n \"24511\": \"How fast?\"\n },\n {\n \"24512\": \"Who shared this idea?\"\n },\n {\n \"24513\": \"What did Congress want to do for African Americans?\"\n },\n {\n \"24514\": \"What was one amendment that would do that?\"\n },\n {\n \"24515\": \"What bill was about former Confederates?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24496\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"24497\",\n \"answer\": \"1865-1877\"\n },\n {\n \"question_id\": \"24498\",\n \"answer\": \"American Civil War\"\n },\n {\n \"question_id\": \"24499\",\n \"answer\": \"1861 to 1865\"\n },\n {\n \"question_id\": \"24500\",\n \"answer\": \"the entire country\"\n },\n {\n \"question_id\": \"24501\",\n \"answer\": \"the attempted transformation of the Southern United States\"\n },\n {\n \"question_id\": \"24502\",\n \"answer\": \"1863-1877\"\n },\n {\n \"question_id\": \"24503\",\n \"answer\": \"Congress\"\n },\n {\n \"question_id\": \"24504\",\n \"answer\": \"Reconstruction Amendments\"\n },\n {\n \"question_id\": \"24505\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"24506\",\n \"answer\": \"the U.S. Constitution\"\n },\n {\n \"question_id\": \"24507\",\n \"answer\": \"in decades\"\n },\n {\n \"question_id\": \"24508\",\n \"answer\": \"moderate\"\n },\n {\n \"question_id\": \"24509\",\n \"answer\": \"the union\"\n },\n {\n \"question_id\": \"24510\",\n \"answer\": \"the South\"\n },\n {\n \"question_id\": \"24511\",\n \"answer\": \"as quickly as possible\"\n },\n {\n \"question_id\": \"24512\",\n \"answer\": \"Andrew Johnson\"\n },\n {\n \"question_id\": \"24513\",\n \"answer\": \"upgrade their rights\"\n },\n {\n \"question_id\": \"24514\",\n \"answer\": \"Fourteenth Amendment\"\n },\n {\n \"question_id\": \"24515\",\n \"answer\": \"Wade\\u2013Davis Bill\"\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 dog was playing in the street outside. I walked past the dog and threw the ball to him. He seemed to be hot from the heat of the day. I then headed to the store because I needed to buy some food and other things that were needed. I entered the store and said hi to Mr. Jones. He had been working at the store for a long time. I walked to the back of the store and picked up some cold sodas and a bottle of orange juice. I then went and picked up some popcorn. This would be good for eating later while watching tv. I then went to the dog food section and picked a meat treat for the dog. I then went up to the front of the store and paid Mr. Jones. He smiled and thanked me for shopping at his store. Then I walked back to my house and looked at the dog. His name was Rex and had lived with us for around four years. His coat was brown and white. I unwrapped the dog treat and gave it to him. Rex seemed happy and started to lick my hand in happiness. He was a good dog and it made me feel good that he was happy.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52755\": \"what was the canine called?\"\n },\n {\n \"52756\": \"what did he look like?\"\n },\n {\n \"52757\": \"did he eat something?\"\n },\n {\n \"52758\": \"what?\"\n },\n {\n \"52759\": \"did he like it?\"\n },\n {\n \"52760\": \"how do you know?\"\n },\n {\n \"52761\": \"was it cold out?\"\n },\n {\n \"52762\": \"how do you know?\"\n },\n {\n \"52763\": \"from what?\"\n },\n {\n \"52764\": \"where did the person go?\"\n },\n {\n \"52765\": \"did they see anyone there?\"\n },\n {\n \"52766\": \"who?\"\n },\n {\n \"52767\": \"was he a customer?\"\n },\n {\n \"52768\": \"why was he there?\"\n },\n {\n \"52769\": \"Did he start the job yesterday?\"\n },\n {\n \"52770\": \"how long had he worked there?\"\n },\n {\n \"52771\": \"How many items did the person purchase?\"\n },\n {\n \"52772\": \"did the person drive home?\"\n },\n {\n \"52773\": \"how did they get home?\"\n },\n {\n \"52774\": \"was the shopkeeper friendly?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52755\",\n \"answer\": \"Rex\"\n },\n {\n \"question_id\": \"52756\",\n \"answer\": \"he was brown and white\"\n },\n {\n \"question_id\": \"52757\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52758\",\n \"answer\": \"a dog treat\"\n },\n {\n \"question_id\": \"52759\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52760\",\n \"answer\": \"he licked his hand in happiness\"\n },\n {\n \"question_id\": \"52761\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52762\",\n \"answer\": \"Rex seemed to be hot\"\n },\n {\n \"question_id\": \"52763\",\n \"answer\": \"the heat of the day\"\n },\n {\n \"question_id\": \"52764\",\n \"answer\": \"to the store\"\n },\n {\n \"question_id\": \"52765\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52766\",\n \"answer\": \"Mr. Jones\"\n },\n {\n \"question_id\": \"52767\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52768\",\n \"answer\": \"He worked at the store\"\n },\n {\n \"question_id\": \"52769\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52770\",\n \"answer\": \"a long time.\"\n },\n {\n \"question_id\": \"52771\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"52772\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52773\",\n \"answer\": \"walked\"\n },\n {\n \"question_id\": \"52774\",\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 FIVE. \n\nTHE PASTOR'S HOUSEHOLD--PREPARATIONS FOR WAR. \n\nWhen the conference in the widow's cottage closed, Henry Stuart and Gascoyne hastened into the woods together, and followed a narrow footpath which led towards the interior of the island. Arriving at a spot where this path branched into two, Henry took the one that ran round the outskirts of the settlement towards the residence of Mr Mason, while his companion pursued the other which struck into the recesses of the mountains. \n\n\"Come in,\" cried the missionary, as Henry knocked at the door of his study. \"Ah, Henry, I'm glad to see you. You were in my thoughts this moment. I have come to a difficulty in my drawings of the spire of our new church, and I want your fertile imagination to devise some plan whereby we may overcome it. But of that I shall speak presently. I see from your looks that more important matters have brought you hither. Nothing wrong at the cottage, I trust?\" \n\n\"No, nothing--that is to say, not exactly wrong, but things, I fear, are not altogether right in the settlement. I have had an unfortunate rencontre this morning with one of the savages, which is likely to lead to mischief, for blood was drawn, and I know the fellow to be revengeful. In addition to this, it is suspected that Durward, the pirate, is hovering among the islands, and meditates a descent on us. How much truth there may be in the report I cannot pretend to guess; but Gascoyne, the captain of the _Foam_, has been over at our cottage, and says he has seen the pirate, and that there is no saying what he may venture to attempt, for he is a bold fellow, and, as you know, cannot have a good-will to missionary settlements.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53034\": \"Who went into the forest?\"\n },\n {\n \"53035\": \"After what event?\"\n },\n {\n \"53036\": \"Did they leave together?\"\n },\n {\n \"53037\": \"Was the footpath wide?\"\n },\n {\n \"53038\": \"Which way they headed?\"\n },\n {\n \"53039\": \"How many branches the path had?\"\n },\n {\n \"53040\": \"Did they take the same branch?\"\n },\n {\n \"53041\": \"Which one Henry took?\"\n },\n {\n \"53042\": \"What it ran round?\"\n },\n {\n \"53043\": \"What about the other person?\"\n },\n {\n \"53044\": \"Did Mason knew Henry?\"\n },\n {\n \"53045\": \"Was Henry welcome there?\"\n },\n {\n \"53046\": \"Was Mason thinking about him?\"\n },\n {\n \"53047\": \"What was he planning to build?\"\n },\n {\n \"53048\": \"Did he have difficulty devising it?\"\n },\n {\n \"53049\": \"Did he need his help?\"\n },\n {\n \"53050\": \"Did he sense something wrong?\"\n },\n {\n \"53051\": \"Where?\"\n },\n {\n \"53052\": \"Did Henry think all was good there?\"\n },\n {\n \"53053\": \"Who did he think around the islands trying to do some wrongs?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53034\",\n \"answer\": \"Henry Stuart and Gascoyne\"\n },\n {\n \"question_id\": \"53035\",\n \"answer\": \"conference in the widow's cottage\"\n },\n {\n \"question_id\": \"53036\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53037\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"53038\",\n \"answer\": \"the interior of the island\"\n },\n {\n \"question_id\": \"53039\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"53040\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"53041\",\n \"answer\": \"towards the residence of Mr Mason,\"\n },\n {\n \"question_id\": \"53042\",\n \"answer\": \"the outskirts of the settlement\"\n },\n {\n \"question_id\": \"53043\",\n \"answer\": \"he went to the recesses of the mountains.\"\n },\n {\n \"question_id\": \"53044\",\n \"answer\": \"ys\"\n },\n {\n \"question_id\": \"53045\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53047\",\n \"answer\": \"the spire of the new church\"\n },\n {\n \"question_id\": \"53048\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53049\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53050\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53051\",\n \"answer\": \"the cottage\"\n },\n {\n \"question_id\": \"53052\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"53053\",\n \"answer\": \"t is suspected that Durward, the pirate, is hovering among the islands,\"\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\nMr. Barbecue-Smith was gone. The motor had whirled him away to the station; a faint smell of burning oil commemorated his recent departure. A considerable detachment had come into the courtyard to speed him on his way; and now they were walking back, round the side of the house, towards the terrace and the garden. They walked in silence; nobody had yet ventured to comment on the departed guest. \n\n\"Well?\" said Anne at last, turning with raised inquiring eyebrows to Denis. \n\n\"Well?\" It was time for someone to begin. \n\nDenis declined the invitation; he passed it on to Mr Scogan. \"Well?\" he said. \n\nMr. Scogan did not respond; he only repeated the question, \"Well?\" \n\nIt was left for Henry Wimbush to make a pronouncement. \"A very agreeable adjunct to the week-end,\" he said. His tone was obituary. \n\nThey had descended, without paying much attention where they were going, the steep yew-walk that went down, under the flank of the terrace, to the pool. The house towered above them, immensely tall, with the whole height of the built-up terrace added to its own seventy feet of brick facade. The perpendicular lines of the three towers soared up, uninterrupted, enhancing the impression of height until it became overwhelming. They paused at the edge of the pool to look back. \n\n\"The man who built this house knew his business,\" said Denis. \"He was an architect.\" \n\n\"Was he?\" said Henry Wimbush reflectively. \"I doubt it. The builder of this house was Sir Ferdinando Lapith, who flourished during the reign of Elizabeth. He inherited the estate from his father, to whom it had been granted at the time of the dissolution of the monasteries; for Crome was originally a cloister of monks and this swimming-pool their fish-pond. Sir Ferdinando was not content merely to adapt the old monastic buildings to his own purposes; but using them as a stone quarry for his barns and byres and outhouses, he built for himself a grand new house of brick--the house you see now.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"696\": \"Who left?\"\n },\n {\n \"697\": \"Was everyone happy he left?\"\n },\n {\n \"698\": \"Where did they go?\"\n },\n {\n \"699\": \"How tall is the house?\"\n },\n {\n \"700\": \"Was it made of wood?\"\n },\n {\n \"701\": \"What was it made of?\"\n },\n {\n \"702\": \"What was they standing by?\"\n },\n {\n \"703\": \"what did it use to be?\"\n },\n {\n \"704\": \"For who?\"\n },\n {\n \"705\": \"Who built the house?\"\n },\n {\n \"706\": \"When was he alive?\"\n },\n {\n \"707\": \"Did they talk about the departed guest?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"696\",\n \"answer\": \"Mr. Barbecue-Smith\"\n },\n {\n \"question_id\": \"697\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"698\",\n \"answer\": \"Round the side of the house\"\n },\n {\n \"question_id\": \"699\",\n \"answer\": \"Seventy feet\"\n },\n {\n \"question_id\": \"700\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"701\",\n \"answer\": \"Brick\"\n },\n {\n \"question_id\": \"702\",\n \"answer\": \"By the pool\"\n },\n {\n \"question_id\": \"703\",\n \"answer\": \"A fish-pond\"\n },\n {\n \"question_id\": \"704\",\n \"answer\": \"Monks\"\n },\n {\n \"question_id\": \"705\",\n \"answer\": \"Sir Ferdinando Lapith\"\n },\n {\n \"question_id\": \"706\",\n \"answer\": \"during the reign of Elizabeth.\"\n },\n {\n \"question_id\": \"707\",\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 Yahoo! is a web services provider, wholly owned by Verizon Communications through Oath Inc. and headquartered in Sunnyvale, California. The original Yahoo! company was founded by Jerry Yang and David Filo in January 1994 and was incorporated on March 2, 1995. Yahoo was one of the pioneers of the early Internet era in the 1990s. Marissa Mayer, a former Google executive, served as CEO and President of Yahoo until June 2017. \n\nIt was globally known for its Web portal, search engine Yahoo! Search, and related services, including Yahoo! Directory, Yahoo! Mail, Yahoo! News, Yahoo! Finance, Yahoo! Groups, Yahoo! Answers, advertising, online mapping, video sharing, fantasy sports, and its social media website. At its height it was one of the most popular sites in the United States. According to third-party web analytics providers, Alexa and SimilarWeb, Yahoo! was the highest-read news and media website, with over 7 billion views per month, being the sixth most visited website globally in 2016. According to news sources, roughly 700 million people visited Yahoo websites every month. Yahoo itself claimed it attracted \"more than half a billion consumers every month in more than 30 languages\". \n\nOnce the most popular website in the U.S., Yahoo slowly started to decline since the late 2000s, and in 2017, Verizon Communications acquired most of Yahoo's Internet business for $4.48 billion, excluding its stakes in Alibaba Group and Yahoo! Japan which were transferred to Yahoo's successor company Altaba.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53647\": \"What is Yahoo?\"\n },\n {\n \"53648\": \"When was it started?\"\n },\n {\n \"53649\": \"By whom?\"\n },\n {\n \"53650\": \"Who owns it now?\"\n },\n {\n \"53651\": \"Since when?\"\n },\n {\n \"53652\": \"Where is the headquarters?\"\n },\n {\n \"53653\": \"Was it popular?\"\n },\n {\n \"53654\": \"How popular?\"\n },\n {\n \"53655\": \"Was it the most visited website?\"\n },\n {\n \"53656\": \"What number was it\"\n },\n {\n \"53657\": \"How much was it sold for?\"\n },\n {\n \"53658\": \"About how many visited each month?\"\n },\n {\n \"53659\": \"Was it all in English?\"\n },\n {\n \"53660\": \"How many different ones?\"\n },\n {\n \"53661\": \"What country did the president go to?\"\n },\n {\n \"53662\": \"What company did the president go to?\"\n },\n {\n \"53663\": \"What are some of their services?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53647\",\n \"answer\": \"A web services provider\"\n },\n {\n \"question_id\": \"53648\",\n \"answer\": \"January 1994\"\n },\n {\n \"question_id\": \"53649\",\n \"answer\": \"Jerry Yang and David Filo\"\n },\n {\n \"question_id\": \"53650\",\n \"answer\": \"Verizon Communications\"\n },\n {\n \"question_id\": \"53651\",\n \"answer\": \"2017\"\n },\n {\n \"question_id\": \"53652\",\n \"answer\": \"Sunnyvale, California\"\n },\n {\n \"question_id\": \"53653\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53654\",\n \"answer\": \"Globally\"\n },\n {\n \"question_id\": \"53655\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53656\",\n \"answer\": \"6th\"\n },\n {\n \"question_id\": \"53657\",\n \"answer\": \"$4.48 billion\"\n },\n {\n \"question_id\": \"53658\",\n \"answer\": \"Roughly 700 million\"\n },\n {\n \"question_id\": \"53659\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53660\",\n \"answer\": \"More than 30\"\n },\n {\n \"question_id\": \"53661\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"53662\",\n \"answer\": \"Google\"\n },\n {\n \"question_id\": \"53663\",\n \"answer\": \"Email, news, finance, answers\"\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 Russia, also officially known as the Russian Federation (), is a country in Eurasia. At , Russia is the largest country in the world by surface area, covering more than one-eighth of the Earth's inhabited land area, and the ninth most populous, with over 144 million people at the end of March 2016. The European western part of the country is much more populated and urbanised than the eastern; about 77% of the population live in European Russia. Russia's capital Moscow is one of the largest cities in the world; other major urban centers include Saint Petersburg, Novosibirsk, Yekaterinburg, Nizhny Novgorod, and Kazan. \n\nExtending across the entirety of Northern Asia and much of Eastern Europe, Russia spans eleven time zones and incorporates a wide range of environments and landforms. From northwest to southeast, Russia shares land borders with Norway, Finland, Estonia, Latvia, Lithuania and Poland (both with Kaliningrad Oblast), Belarus, Ukraine, Georgia, Azerbaijan, Kazakhstan, China, Mongolia, and North Korea. It shares maritime borders with Japan by the Sea of Okhotsk and the U.S. state of Alaska across the Bering Strait. \n\nThe East Slavs emerged as a recognizable group in Europe between the 3rd and 8th centuries AD. Founded and ruled by a Varangian warrior elite and their descendants, the medieval state of Rus arose in the 9th century. In 988 it adopted Orthodox Christianity from the Byzantine Empire, beginning the synthesis of Byzantine and Slavic cultures that defined Russian culture for the next millennium. Rus' ultimately disintegrated into a number of smaller states; most of the Rus' lands were overrun by the Mongol invasion and became tributaries of the nomadic Golden Horde in the 13th century. The Grand Duchy of Moscow gradually reunified the surrounding Russian principalities, achieved independence from the Golden Horde, and came to dominate the cultural and political legacy of Kievan Rus'. By the 18th century, the nation had greatly expanded through conquest, annexation, and exploration to become the Russian Empire, which was the third largest empire in history, stretching from Poland on the west to Alaska on the east.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76503\": \"What is the official name of Russia?\"\n },\n {\n \"76504\": \"Is it a small country?\"\n },\n {\n \"76505\": \"Is it a large country?\"\n },\n {\n \"76506\": \"Is any other country larger?\"\n },\n {\n \"76507\": \"How many time zones are in Russia?\"\n },\n {\n \"76508\": \"Does it have borders on both land and sea?\"\n },\n {\n \"76509\": \"What bodies of water does it border?\"\n },\n {\n \"76510\": \"How many countries does Russia border?\"\n },\n {\n \"76511\": \"How many people live in Russia?\"\n },\n {\n \"76512\": \"Is all of Russia urbanised?\"\n },\n {\n \"76513\": \"What is the capital city of Russia?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76503\",\n \"answer\": \"Russian Federation\"\n },\n {\n \"question_id\": \"76504\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76505\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76506\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76507\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"76508\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76509\",\n \"answer\": \"Sea of Okhotsk, Bering Strait\"\n },\n {\n \"question_id\": \"76510\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"76511\",\n \"answer\": \"144\\u00a0million\"\n },\n {\n \"question_id\": \"76512\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76513\",\n \"answer\": \"Moscow\"\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 It's a nightmare for Huazhong University of Science and Technology (HUST): within a week, two students committed suicide by jumping off dorm buildings. \n\nOfficials from the university are reluctant to give interviews. \n\n\"We had a hard time calming down students who were shocked at the suicides,\" said Zhang Jingyuan, head of HUST's center for research and guidance for students' development. \n\n\"Media coverage may arouse some students' negative emotions again. Suicide can be contagious ,\" Zhang said. \n\nThe university reacted promptly to the first suicide on October 23. \n\nAdvisors and class leaders conducted dorm-to-dorm checks to find students suffering depression. Then psychologists offered one-on-one counseling to them. \n\nNotice boards publicizing tips for identifying peers' mental problems and offering help were set up in front of dorm buildings. Leaflets carrying similar information were handed out to each dorm. \n\nHowever, the second suicide came seven days later. \n\nBoth students were described as men of few words. Their schoolmates didn't see anything to indicate suicide. \n\nZhang revealed that the two students had been bothered by mental disorders. But the school didn't know this until the students' close friends outside school and their parents unveiled the truth after the suicides. \n\nAccording to Zhang, there are only three full-time counselors working in the university's counseling center for its 60,000 students. He complained: \"It's unrealistic to rely only on counselors to detect students' mental problems.\" \n\nSome universities in the US may be able to offer solutions to Zhang's worries. They have established programs to train students to be the bridge between troubled friends and counselors. \n\nAt Worcester Polytechnic Institute, at Worcester, Massachusetts, US, young people in the Student Support Network role play to learn how to detect SOS signals from their schoolmates. \n\nThey also practice how to gently persuade emotionally troubled students to go for professional help. \n\nTo develop such empathy , many universities in China have organized campus events to popularize knowledge about mental health. But these are not that attractive to students. \n\nKe Juanjuan, 24, is pursuing a master's degree in English translation at HUST. Ke has found that few of her peers will pay attention to activities about mental health when they are not troubled by it. \n\nRather than bombard students with the words \"mental health\", Ke suggested the school organize lectures and workshops concerning study, job-hunting and relationships. She explained: \"Students care about these topics. They tend to have problems in these areas and may thus get stuck in depression. \n\n\"By helping students better deal with these problems, the school can effectively prevent self-inflicted injury and suicide among students.\" \n\nEffective prevention comes from long-term education for life instead of temporary intervention to meet an emergency, said Hu Yi'an. Hu delivers a course of lectures on life and death at Guangzhou University. He worries that universities have paid little attention to education for life. \n\n\"Education for life helps students respect and love life so they won't resort to ending their lives when they have difficulties,\" said Hu. \n\nAccording to Hu, the principles can be incorporated into everyday teaching.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71492\": \"What is the nightmare that is occuring?\"\n },\n {\n \"71493\": \"how?\"\n },\n {\n \"71494\": \"are officials talking?\"\n },\n {\n \"71495\": \"how far apart were the deaths?\"\n },\n {\n \"71496\": \"were they chatty men?\"\n },\n {\n \"71497\": \"did they have any issues?\"\n },\n {\n \"71498\": \"do they think counselors can fix the issues alone?\"\n },\n {\n \"71499\": \"what are some schools doing to help?\"\n },\n {\n \"71500\": \"to do what?\"\n },\n {\n \"71501\": \"what are some things the trained students can do?\"\n },\n {\n \"71502\": \"what are chinese campuses doing?\"\n },\n {\n \"71503\": \"are the students interested?\"\n },\n {\n \"71504\": \"what is suggested they do instead?\"\n },\n {\n \"71505\": \"what can education for life do?\"\n },\n {\n \"71506\": \"What does Hu teach?\"\n },\n {\n \"71507\": \"where?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71492\",\n \"answer\": \"suicides\"\n },\n {\n \"question_id\": \"71493\",\n \"answer\": \"jumping off dorm buildings.\"\n },\n {\n \"question_id\": \"71494\",\n \"answer\": \"reluctantly\"\n },\n {\n \"question_id\": \"71495\",\n \"answer\": \"within a week\"\n },\n {\n \"question_id\": \"71496\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71497\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71498\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71499\",\n \"answer\": \"establishing programs\"\n },\n {\n \"question_id\": \"71500\",\n \"answer\": \"to train students\"\n },\n {\n \"question_id\": \"71501\",\n \"answer\": \"persuade students to get help\"\n },\n {\n \"question_id\": \"71502\",\n \"answer\": \"organized campus events\"\n },\n {\n \"question_id\": \"71503\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71504\",\n \"answer\": \"organize lectures about study, job-hunting and relationships.\"\n },\n {\n \"question_id\": \"71505\",\n \"answer\": \"helps students respect and love life\"\n },\n {\n \"question_id\": \"71506\",\n \"answer\": \"Life and death\"\n },\n {\n \"question_id\": \"71507\",\n \"answer\": \"Guangzhou University\"\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 Martinique () is an insular region of France located in the Lesser Antilles in the eastern Caribbean Sea, with a land area of and a population of 385,551 inhabitants as of January 2013. Like Guadeloupe, it is an overseas region of France, consisting of a single overseas department. One of the Windward Islands, it is directly north of Saint Lucia, southeast of Puerto Rico, northwest of Barbados, and south of Dominica. \n\nAs with the other overseas departments, Martinique is one of the eighteen regions of France (being an overseas region) and an integral part of the \"République française\" (French Republic). As part of France, Martinique is part of the European Union, and its currency is the euro. The official language is French, and virtually the entire population also speaks Antillean Creole (\"Créole Martiniquais\"). \n\nMartinique owes its name to Christopher Columbus, who sighted the island in 1493, and finally landed on 15 June 1502. The island was then called \"Jouanacaëra-Matinino\", which came from a mythical island described by the Tainos of Hispaniola. According to historian Sydney Daney, the island was called \"Jouanacaëra\" by the Caribs, which means \"the island of iguanas\". \n\nWhen Columbus returned to the island in 1502, he rechristened the island as Martinica. The name then evolved into Madinina (\"Island of Flowers\"), Madiana, and Matinite. Finally, through the influence of the neighboring island of Dominica (La Dominique), it came to be known as Martinique.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41474\": \"What's the main topic?\"\n },\n {\n \"41475\": \"In what region?\"\n },\n {\n \"41476\": \"Of where?\"\n },\n {\n \"41477\": \"It is located in what sea?\"\n },\n {\n \"41478\": \"And it is part of which antilles?\"\n },\n {\n \"41479\": \"How many regions does France have?\"\n },\n {\n \"41480\": \"What is it also a part of?\"\n },\n {\n \"41481\": \"And?\"\n },\n {\n \"41482\": \"Because it's part of France, what is it also a part of?\"\n },\n {\n \"41483\": \"Who described it as a mythical isle?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41474\",\n \"answer\": \"Martinique\"\n },\n {\n \"question_id\": \"41475\",\n \"answer\": \"insular region\"\n },\n {\n \"question_id\": \"41476\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"41477\",\n \"answer\": \"Caribbean Sea\"\n },\n {\n \"question_id\": \"41478\",\n \"answer\": \"Lesser\"\n },\n {\n \"question_id\": \"41479\",\n \"answer\": \"eighteen\"\n },\n {\n \"question_id\": \"41480\",\n \"answer\": \"R\\u00e9publique fran\\u00e7aise\"\n },\n {\n \"question_id\": \"41481\",\n \"answer\": \"French Republic\"\n },\n {\n \"question_id\": \"41482\",\n \"answer\": \"European Union\"\n },\n {\n \"question_id\": \"41483\",\n \"answer\": \"Tainos of Hispaniola\"\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 It is classified as a Beta World City, ranking seventh in Latin America and 73rd in the world. Described as a \"vibrant, eclectic place with a rich cultural life\", and \"a thriving tech center and entrepreneurial culture\", Montevideo ranks 8th in Latin America on the 2013 MasterCard Global Destination Cities Index. By 2014, is also regarded as the fifth most gay-friendly major city in the world, first in Latin America. It is the hub of commerce and higher education in Uruguay as well as its chief port. The city is also the financial and cultural hub of a larger metropolitan area, with a population of around 2 million. \n\nA Spanish expedition was sent from Buenos Aires, organized by the Spanish governor of that city, Bruno Mauricio de Zabala. On 22 January 1724, the Spanish forced the Portuguese to abandon the location and started populating the city, initially with six families moving in from Buenos Aires and soon thereafter by families arriving from the Canary Islands who were called by the locals \"guanches\", \"guanchos\" or \"canarios\". There was also one significant early Italian resident by the name of Jorge Burgues.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3975\": \"What is the City of focus?\"\n },\n {\n \"3976\": \"What recognition did it get in 2014?\"\n },\n {\n \"3977\": \"What about in 2013?\"\n },\n {\n \"3978\": \"What did Zabala organize?\"\n },\n {\n \"3979\": \"What happened in 1724?\"\n },\n {\n \"3980\": \"And who was Zabala?\"\n },\n {\n \"3981\": \"From which islands did some arrive?\"\n },\n {\n \"3982\": \"What was one name for those folks?\"\n },\n {\n \"3983\": \"Who called them by those names?\"\n },\n {\n \"3984\": \"What is the name of the early Italian settler?\"\n },\n {\n \"3985\": \"What type of hub is the city of a larger metro area?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3975\",\n \"answer\": \"Montevideo\"\n },\n {\n \"question_id\": \"3976\",\n \"answer\": \"%th most gay friendly\"\n },\n {\n \"question_id\": \"3977\",\n \"answer\": \"8th in Latin America on the 2013 MasterCard Global Destination Cities Index\"\n },\n {\n \"question_id\": \"3978\",\n \"answer\": \"An expedition\"\n },\n {\n \"question_id\": \"3979\",\n \"answer\": \"Portugese were forced to abandon the location\"\n },\n {\n \"question_id\": \"3980\",\n \"answer\": \"Governor of Buenos Aires\"\n },\n {\n \"question_id\": \"3981\",\n \"answer\": \"Canary Islands\"\n },\n {\n \"question_id\": \"3982\",\n \"answer\": \"Canarios\"\n },\n {\n \"question_id\": \"3983\",\n \"answer\": \"Locals\"\n },\n {\n \"question_id\": \"3984\",\n \"answer\": \"Jorge Burgues.\"\n },\n {\n \"question_id\": \"3985\",\n \"answer\": \"Commerce and higher education\"\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 Time is an American weekly news magazine published in New York City. It was founded in 1923 and for decades was dominated by Henry Luce, who built a highly profitable stable of magazines. \n\nA European edition (\"Time Europe\", formerly known as \"Time Atlantic\") is published in London and also covers the Middle East, Africa and, since 2003, Latin America. An Asian edition (\"Time Asia\") is based in Hong Kong. The South Pacific edition, which covers Australia, New Zealand and the Pacific Islands, is based in Sydney, Australia. In December 2008, \"Time\" discontinued publishing a Canadian advertiser edition. \n\n\"Time\" has the world's largest circulation for a weekly news magazine, and has a readership of 26 million, 20 million of which are based in the United States. \n\nIn mid-2016, its circulation was 3,032,581, having fallen from 3.3 million in 2012. \n\nRichard Stengel was the managing editor from May 2006 to October 2013, when he joined the U.S. State Department. Nancy Gibbs has been the managing editor since October 2013. \n\n\"Time\" magazine was created in 1923 by Briton Hadden and Henry Luce, making it the first weekly news magazine in the United States. The two had previously worked together as chairman and managing editor respectively of the \"Yale Daily News.\" They first called the proposed magazine \"Facts\". They wanted to emphasize brevity, so that a busy man could read it in an hour. They changed the name to \"Time\" and used the slogan \"Take Time–It's Brief\". Hadden was considered carefree and liked to tease Luce and saw \"Time\" as important but also fun, which accounted for its heavy coverage of celebrities (including politicians), the entertainment industry, and pop culture—criticized as too light for serious news.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23895\": \"Where are most of Time's readers located?\"\n },\n {\n \"23896\": \"How many are from there?\"\n },\n {\n \"23897\": \"How many are there altogether?\"\n },\n {\n \"23898\": \"Does any similar magazine have more?\"\n },\n {\n \"23899\": \"How often does it come out?\"\n },\n {\n \"23900\": \"What year did it begin?\"\n },\n {\n \"23901\": \"How many areas does the South Pacific edition include?\"\n },\n {\n \"23902\": \"What are they?\"\n },\n {\n \"23903\": \"Where is it based\"\n },\n {\n \"23904\": \"What is the Asian edition called?\"\n },\n {\n \"23905\": \"Where is it based?\"\n },\n {\n \"23906\": \"Which edition is printed in London?\"\n },\n {\n \"23907\": \"How many areas does it cover?\"\n },\n {\n \"23908\": \"When did it start covering Latin America?\"\n },\n {\n \"23909\": \"Was it always called Time Europe?\"\n },\n {\n \"23910\": \"What other name did it have?\"\n },\n {\n \"23911\": \"What job did Richard Stengel have with the magazine?\"\n },\n {\n \"23912\": \"When?\"\n },\n {\n \"23913\": \"Who is his new job with?\"\n },\n {\n \"23914\": \"Who took over his old job?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23895\",\n \"answer\": \"US\"\n },\n {\n \"question_id\": \"23896\",\n \"answer\": \"20 million\"\n },\n {\n \"question_id\": \"23897\",\n \"answer\": \"26 million\"\n },\n {\n \"question_id\": \"23898\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"23899\",\n \"answer\": \"weekly\"\n },\n {\n \"question_id\": \"23900\",\n \"answer\": \"1923\"\n },\n {\n \"question_id\": \"23901\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"23902\",\n \"answer\": \"Australia, New Zealand and the Pacific Islands\"\n },\n {\n \"question_id\": \"23903\",\n \"answer\": \"Sydney, Australia\"\n },\n {\n \"question_id\": \"23904\",\n \"answer\": \"Time Asia\"\n },\n {\n \"question_id\": \"23905\",\n \"answer\": \"Hong Kong\"\n },\n {\n \"question_id\": \"23906\",\n \"answer\": \"Time Europe\"\n },\n {\n \"question_id\": \"23907\",\n \"answer\": \"Europe, Middle East, Africa and Latin America\"\n },\n {\n \"question_id\": \"23908\",\n \"answer\": \"2003\"\n },\n {\n \"question_id\": \"23909\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23910\",\n \"answer\": \"Time Atlantic\"\n },\n {\n \"question_id\": \"23911\",\n \"answer\": \"managing editor\"\n },\n {\n \"question_id\": \"23912\",\n \"answer\": \"May 2006 to October 2013\"\n },\n {\n \"question_id\": \"23913\",\n \"answer\": \"U.S. State Department\"\n },\n {\n \"question_id\": \"23914\",\n \"answer\": \"Nancy Gibbs\"\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 TWENTY ONE. \n\nTHE LAST MAN. \n\nOne morning John Adams, instead of going to work in his garden, as was his wont, took down his musket from its accustomed pegs above the door, and sallied forth into the woods behind the village. He had not gone far when he heard a rustling of the leaves, and looking back, beheld the graceful form of Sally bounding towards him. \n\n\"Are you going to shoot, father?\" she said, on coming up. \n\nThe young people of the village had by this time got into the habit of calling Adams \"father,\" and regarded him as the head of the community; not because of his age, for at this time he was only between thirty and forty years, but because of his sedate, quiet character, and a certain air of elderly wisdom which distinguished him. Even Edward Young, who was about the same age, but more juvenile both in feeling and appearance, felt the influence of his solid, unpretending temperament, and laughingly acknowledged him King of Pitcairn. \n\n\"No, dear, I'm not goin' to shoot,\" said Adams, in reply, \"I'm only going up to Christian's outlook to try if I can find somethin' there, an' I always like to have the old blunderbuss with me. It feels sort of company, you know, an' minds me of old times; but you'll not understand what I mean, Sall.\" \n\n\"No, because I've no old times to mind about,\" said Sally, with a peculiar smile. \"May I go with you, father?\" \n\n\"Of course you may. Come along, lass.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56315\": \"What type of weapon was retrieved?\"\n },\n {\n \"56316\": \"From where?\"\n },\n {\n \"56317\": \"Who got it down?\"\n },\n {\n \"56318\": \"Was he heading somewhere?\"\n },\n {\n \"56319\": \"Where?\"\n },\n {\n \"56320\": \"Did he want to go?\"\n },\n {\n \"56321\": \"What would he rather do?\"\n },\n {\n \"56322\": \"Did he encounter anyone along the way?\"\n },\n {\n \"56323\": \"Who was it?\"\n },\n {\n \"56324\": \"Was did she call him?\"\n },\n {\n \"56325\": \"Was she really related to him?\"\n },\n {\n \"56326\": \"Does anyone else call him father as well?\"\n },\n {\n \"56327\": \"Is it because he is old?\"\n },\n {\n \"56328\": \"What is his age?\"\n },\n {\n \"56329\": \"What had Sally asked him?\"\n },\n {\n \"56330\": \"And his reply?\"\n },\n {\n \"56331\": \"Did he say where he was going?\"\n },\n {\n \"56332\": \"Where was it?\"\n },\n {\n \"56333\": \"Did he mention why he had a weapon?\"\n },\n {\n \"56334\": \"What did Sally ask of him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"56315\",\n \"answer\": \"musket\"\n },\n {\n \"question_id\": \"56316\",\n \"answer\": \"from its pegs above the door\"\n },\n {\n \"question_id\": \"56317\",\n \"answer\": \"John Adams\"\n },\n {\n \"question_id\": \"56318\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56319\",\n \"answer\": \"the woods\"\n },\n {\n \"question_id\": \"56320\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"56321\",\n \"answer\": \"work in his garden\"\n },\n {\n \"question_id\": \"56322\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56323\",\n \"answer\": \"Sally\"\n },\n {\n \"question_id\": \"56324\",\n \"answer\": \"father\"\n },\n {\n \"question_id\": \"56325\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"56326\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56327\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"56328\",\n \"answer\": \"between thirty and forty\"\n },\n {\n \"question_id\": \"56329\",\n \"answer\": \"if he was going to shoot\"\n },\n {\n \"question_id\": \"56330\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"56331\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56332\",\n \"answer\": \"Christian's outlook\"\n },\n {\n \"question_id\": \"56333\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56334\",\n \"answer\": \"If she could go 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 \"Norton,\" Sheppard said, \"I saw Rufus Johnson yesterday. Do you know what he was doing?\" The child looked at him with a kind of half attention, his eyes forward but not yet engaged. They were a paler blue than his father's as if they might have faded like the shirt; one of them listed, almost imperceptibly , toward the outer rim. \n\n\"He was in a path,\" Sheppard said, \"and he had his hand in a garbage can. He was trying to get something to eat out of it.\" He paused to let this soak in. \"He was hungry,\" he finished, and tried to pierce the child's conscience with his gaze. \n\nThe boy picked up the piece of chocolate cake and began to bite it from one corner. \n\n\"Norton,\" Sheppard said, \"do you have any idea what it means to share?\" \n\nA flicker of attention. \"Some of it is yours,\" Norton said. \n\n\"Some of it is his,\" Sheppard said heavily. It was hopeless. Almost any fault would have been preferable to selfishness--a violent temper, even a tendency to lie. \n\nThe child turned the bottle of tomato sauce upside-down and began thumping sauce onto the cake. \n\nSheppard's look of pain increased. \"You are ten and Rufus Johnson is fourteen,\" he said. \"Yet, I'm sure your shirts would fit Rufus.\" Rufus Johnson was a boy whom he had been trying to help at the reformatory for the past year. He had been released two months ago. \"When he was in the reformatory, he looked pretty good, but when I saw him yesterday, he was skin and bones. He hasn't been eating cake with peanut butter on it for breakfast.\" \n\nThe child paused. \"It's not fresh,\" he said. \"That's why I have to put stuff on it.\" \n\nSheppard turned his face to the window at the end of the bar. The side lawn, green and even, sloped fifty feet or so down to a small suburban wood. When his wife was living, they had often eaten outside, even breakfast on the grass. He had never noticed then that the child was selfish. ks5u \n\n\"Listen to me,\" he said, turning back to him, \"look at me and listen.\" \n\nThe boy looked at him. At least his eyes were forward. \n\n\"I gave Rufus a key to the house when he left the reformatory---to show my confidence in him and so he would have a place he could come to and feel welcome any time. He didn't use it, but I think he'll use it now because he's seen me and he's hungry. And if he doesn't use it, I'm going out and find him and bring him here. I can't see a child eating out of garbage cans.\" \n\nThe boy frowned. It was dawning upon him that something of his was threatened. \n\nSheppard's mouth stretched in disgust. \"Rufus's father died before he was born,\" he said. \"His mother is in the state penitentiary . He was raised by his grandfather in a shack without water or electricity and the old man beat him every day. How would you like to belong to a family like that?\" \n\n\"I don't know\" the child said lamely. \n\n\"Well, you might think about it sometime,\" Sheppard said. \n\nSheppard was City Recreational Director. On Saturday he worked at the reformatory as a counselor, receiving nothing for it but the satisfaction of knowing he was helping boys no one else cared about. Johnson was the most intelligent boy he had worked with. \n\nNorton turned what was left of the cake over as if he no longer wanted it. \n\n\"You started that, now finish it,\" Sheppard said. \n\n\"Maybe he won't come,\" the child said and his eyes brightened slightly.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3796\": \"What would any fault have been preferable to?\"\n },\n {\n \"3797\": \"Would a violent temper be better than that?\"\n },\n {\n \"3798\": \"What about a tendency to lie?\"\n },\n {\n \"3799\": \"Who turned a bottle of tomato sauce upside-down?\"\n },\n {\n \"3800\": \"What did they put it on?\"\n },\n {\n \"3801\": \"What kind of cake was it?\"\n },\n {\n \"3802\": \"Does Norton have any idea what it means to share?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3796\",\n \"answer\": \"Selfishness\"\n },\n {\n \"question_id\": \"3797\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3798\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3799\",\n \"answer\": \"The child\"\n },\n {\n \"question_id\": \"3800\",\n \"answer\": \"A cake\"\n },\n {\n \"question_id\": \"3801\",\n \"answer\": \"Chocolate\"\n },\n {\n \"question_id\": \"3802\",\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 XV. \n\nAN UNEXPECTED ARRIVAL. \n\nIt was really the princess who saved aunt Dorcas's home from destruction. Had she not seen Dan Fernald, as he made his way through the orchard, the barn would most likely have been in a blaze before Joe or Plums were aware of the fact. \n\nThanks to her warning, Joe saw the smoke before the fire gathered headway, and when he arrived on the scene, the flames had but just fastened upon the side of the barn. \n\nPlums, aroused to something like activity by the knowledge of danger, followed Joe with remarkable promptness, and the amount of water thus brought by both was sufficient to extinguish what, a few moments later, would have been a conflagration. \n\nNot until he had pulled the charred sticks from beneath the end of the barn, and assured himself every spark had been drowned out, did Joe speak, and then it was to relieve his mind by making threats against the would-be incendiary. \n\n\"It's all well enough for a woman like aunt Dorcas to tell about doin' good to them what tries to hurt you, for she couldn't so much as put up her hands. If you keep on forgivin' duffers like Dan Fernald, you're bound to be in such scrapes as this all the time. What he needed was a sound thumpin', when he begun talkin' so rough to aunt Dorcas; then he wouldn't dared to try a game of this kind. When I get hold of him again, I'll make up for lost time.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83513\": \"Whose house was saved?\"\n },\n {\n \"83514\": \"Who saved it?\"\n },\n {\n \"83515\": \"Did she give a warning to someone?\"\n },\n {\n \"83516\": \"Who?\"\n },\n {\n \"83517\": \"Who wanted to destroy the house?\"\n },\n {\n \"83518\": \"Was there flames on the side of the barn?\"\n },\n {\n \"83519\": \"Who was the other person who helped Joe in putting out the fire?\"\n },\n {\n \"83520\": \"How did they extinguish it?\"\n },\n {\n \"83521\": \"What would it have been if they would't extinguish it?\"\n },\n {\n \"83522\": \"Did Joe make sure there was no spark left at all?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83513\",\n \"answer\": \"aunt Dorcas\"\n },\n {\n \"question_id\": \"83514\",\n \"answer\": \"the princess\"\n },\n {\n \"question_id\": \"83515\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83516\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"83517\",\n \"answer\": \"Dan Fernald\"\n },\n {\n \"question_id\": \"83518\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83519\",\n \"answer\": \"Plums\"\n },\n {\n \"question_id\": \"83520\",\n \"answer\": \"with water\"\n },\n {\n \"question_id\": \"83521\",\n \"answer\": \"a conflagration\"\n },\n {\n \"question_id\": \"83522\",\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) -- England international defender Ashley Cole turned goal scorer as his late winner at Stamford Bridge Saturday gave Chelsea a 1-0 win over Stoke City to stay top of the English Premier League. \n\nCole was finding the net for the first time in over two years and he left it until the 85th minute, set up by a brilliant pass by Spain's Juan Mata. \n\nHis team had been made to struggle by the battling visitors and looked set for a fourth game without a win in all competitions before the full back's late intervention. \n\n\"I had a few shots in the first half and took too much time on the ball with them, but this time, the first thing that came into my brain was to dink it and I just did it,\" Cole said. \n\n\"It is mentally good to get a lead in the league table.\" \n\nFernando Torres scuffed Chelsea's best chance but Stoke might have gone ahead in the first half when a Jonathan Walters' header hit the crossbar. \n\nThe striker was also subjected to a strong challenge late in the game from Chelsea defender David Luiz, which left the Brazilian lucky to escape a straight red card. \n\nLuiz, who signed from Benfica last year, sealed a new five-year contract with the Blues later Saturday, extending his deal to 2017. \n\n\"It is a great club and I look forward to winning more trophies here. I want to play for a long time at the top level -- which is what playing for Chelsea means,\" he told the club's official website. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49695\": \"Who did Chelsea defeat?\"\n },\n {\n \"49696\": \"How many goals did they have?\"\n },\n {\n \"49697\": \"Who made that goal?\"\n },\n {\n \"49698\": \"When in the game was the goal made?\"\n },\n {\n \"49699\": \"When was the last time he scored a goal?\"\n },\n {\n \"49700\": \"Why did he fail his earlier shots in that game?\"\n },\n {\n \"49701\": \"What was his instinct on the successful shot?\"\n },\n {\n \"49702\": \"Who assisted the shot?\"\n },\n {\n \"49703\": \"What stopped Jonathan Walters' shot?\"\n },\n {\n \"49704\": \"What does being a Chelsea player mean?\"\n },\n {\n \"49705\": \"Who got a penalty?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49695\",\n \"answer\": \"Stoke City.\"\n },\n {\n \"question_id\": \"49696\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"49697\",\n \"answer\": \"Ashley Cole.\"\n },\n {\n \"question_id\": \"49698\",\n \"answer\": \"The 85th minute.\"\n },\n {\n \"question_id\": \"49699\",\n \"answer\": \"Over two years ago.\"\n },\n {\n \"question_id\": \"49700\",\n \"answer\": \"He took too much time.\"\n },\n {\n \"question_id\": \"49701\",\n \"answer\": \"To dink it.\"\n },\n {\n \"question_id\": \"49702\",\n \"answer\": \"Juan Mata.\"\n },\n {\n \"question_id\": \"49703\",\n \"answer\": \"The crossbar.\"\n },\n {\n \"question_id\": \"49704\",\n \"answer\": \"Playing for a long time at the top level.\"\n },\n {\n \"question_id\": \"49705\",\n \"answer\": \"David Luiz.\"\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 Two years into the Syrian conflict, President Obama has decided it's finally time to explain it to the American people in a speech he will give from the Oval Office on Tuesday. But from the beginning, President Obama's strategy in Syria -- if he ever had one -- has been confused. \n\nYears of dithering, red lines that went unanswered, and a failure to persuade our international allies and the American public to get on board with the president's nonplan plan, has resulted, not surprisingly, in a confused Congress. \n\nOn the Republican side, Sen. John McCain was against the president's plan for limited intervention but on Wednesday changed his mind. Sen. Marco Rubio was for intervention in Syria for the past two years, but he cannot support Obama's plan for military strikes. \n\nOn the Democratic side, many who have previously defended Obama's foreign policy as somehow morally superior to his predecessor for its caution and thoughtfulness now seem delighted to support his new war in Syria. Then there are Democrats who seem a little less fuzzy on their long-held principles and do not support intervening in Syria. \n\nObama's own administration seems confused as well. Secretary of State John Kerry has had to backpedal more than once after contradicting official policy in Syria, which is admittedly hard to discern. \n\nEven Gen. Martin Dempsey, chairman of the Joint Chiefs of Staff, has been an awkward spokesman, spending the better part of the past year telling Congress that Syrian intervention was unwise. As Eli Lake, a correspondent for the Daily Beast puts it, \"On Tuesday, Dempsey was not much more helpful for the president's case for war in the Senate. He contradicted President Obama's contention from Saturday that delays would not affect the Syria war plan, confirming the Syrian military was adjusting to press leaks about an early plan.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99530\": \"Has Kerry had to change his story?\"\n },\n {\n \"99531\": \"How many times?\"\n },\n {\n \"99532\": \"What is his title?\"\n },\n {\n \"99533\": \"Under which President?\"\n },\n {\n \"99534\": \"Did any of the opposing party change their opinion?\"\n },\n {\n \"99535\": \"Who?\"\n },\n {\n \"99536\": \"What's his party?\"\n },\n {\n \"99537\": \"And his title?\"\n },\n {\n \"99538\": \"Any other of his party change?\"\n },\n {\n \"99539\": \"Who?\"\n },\n {\n \"99540\": \"And his title?\"\n },\n {\n \"99541\": \"Who will be giving a talk?\"\n },\n {\n \"99542\": \"And his title?\"\n },\n {\n \"99543\": \"Where will he speak from?\"\n },\n {\n \"99544\": \"When?\"\n },\n {\n \"99545\": \"Has he been clear on his strategic plans?\"\n },\n {\n \"99546\": \"Who is Dempsey?\"\n },\n {\n \"99547\": \"Has he been good at clarifying options?\"\n },\n {\n \"99548\": \"Who is the reporter?\"\n },\n {\n \"99549\": \"For what publication?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99530\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99531\",\n \"answer\": \"More than once\"\n },\n {\n \"question_id\": \"99532\",\n \"answer\": \"Secretary of State\"\n },\n {\n \"question_id\": \"99533\",\n \"answer\": \"Obama\"\n },\n {\n \"question_id\": \"99534\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99535\",\n \"answer\": \"John McCain\"\n },\n {\n \"question_id\": \"99536\",\n \"answer\": \"Republican\"\n },\n {\n \"question_id\": \"99537\",\n \"answer\": \"Senator\"\n },\n {\n \"question_id\": \"99538\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99539\",\n \"answer\": \"Marco Rubio\"\n },\n {\n \"question_id\": \"99540\",\n \"answer\": \"Senator\"\n },\n {\n \"question_id\": \"99541\",\n \"answer\": \"Obama\"\n },\n {\n \"question_id\": \"99542\",\n \"answer\": \"President\"\n },\n {\n \"question_id\": \"99543\",\n \"answer\": \"Oval Office\"\n },\n {\n \"question_id\": \"99544\",\n \"answer\": \"Tuesday.\"\n },\n {\n \"question_id\": \"99545\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99546\",\n \"answer\": \"Chairman of the Joint Chiefs of Staff\"\n },\n {\n \"question_id\": \"99547\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99548\",\n \"answer\": \"Eli Lake\"\n },\n {\n \"question_id\": \"99549\",\n \"answer\": \"Daily Beast\"\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 IX \n\nWhen William Wetherell and Cynthia had reached the last turn in the road in Northcutt's woods, quarter of a mile from Coniston, they met the nasal Mr. Samuel Price driving silently in the other direction. The word \"silently\" is used deliberately, because to Mr. Price appertained a certain ghostlike quality of flitting, and to Mr. Price's horse and wagon likewise. He drew up for a brief moment when he saw Wetherell. \n\n\"Wouldn't hurry back if I was you, Will.\" \n\n\"Why not?\" \n\nMr. Price leaned out of the wagon. \n\n\"Bije has come over from Clovelly to spy around a little mite.\" \n\nIt was evident from Mr. Price's manner that he regarded the storekeeper as a member of the reform party. \n\n\"What did he say, Daddy?\" asked Cynthia, as Wetherell stood staring after the flitting buggy in bewilderment. \n\n\"I haven't the faintest idea, Cynthia,\" answered her father, and they walked on. \n\n\"Don't you know who 'Bije' is? \n\n\"No,\" said her father, \"and I don't care.\" \n\nIt was almost criminal ignorance for a man who lived in that part of the country not to know Bijah Bixby of Clovelly, who was paying a little social visit to Coniston that day on his way home from the state capital,--tending, as it were, Jethro's flock. Still, Wetherell must be excused because he was an impractical literary man with troubles of his own. But how shall we chronicle Bijah's rank and precedence in the Jethro army, in which there are neither shoulder-straps nor annual registers? To designate him as the Chamberlain of that hill Rajah, the Honorable Heth Sutton, would not be far out of the way. The Honorable Heth, whom we all know and whom we shall see presently, is the man of substance and of broad acres in Clovelly: Bijah merely owns certain mortgages in that town, but he had created the Honorable Heth (politically) as surely as certain prime ministers we could name have created their sovereigns. The Honorable Heth was Bijah's creation, and a grand creation he was, as no one will doubt when they see him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90703\": \"Where did they arrive?\"\n },\n {\n \"90704\": \"Where is that?\"\n },\n {\n \"90705\": \"What is that close to?\"\n },\n {\n \"90706\": \"How far?\"\n },\n {\n \"90707\": \"What are their names?\"\n },\n {\n \"90708\": \"Who did they meet?\"\n },\n {\n \"90709\": \"What was he doing?\"\n },\n {\n \"90710\": \"What did he look like?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90703\",\n \"answer\": \"The last turn in the road\"\n },\n {\n \"question_id\": \"90704\",\n \"answer\": \"Northcutt's woods\"\n },\n {\n \"question_id\": \"90705\",\n \"answer\": \"Coniston\"\n },\n {\n \"question_id\": \"90706\",\n \"answer\": \"Quarter mile\"\n },\n {\n \"question_id\": \"90707\",\n \"answer\": \"William Wetherell and Cynthia\"\n },\n {\n \"question_id\": \"90708\",\n \"answer\": \"Samuel Price\"\n },\n {\n \"question_id\": \"90709\",\n \"answer\": \"driving in the other direction\"\n },\n {\n \"question_id\": \"90710\",\n \"answer\": \"Ghost like quality\"\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\nLady Monmouth was reclining on a sofa in that beautiful boudoir which had been fitted up under the superintendence of Mr. Rigby, but as he then believed for the Princess Colonna. The walls were hung with amber satin, painted by Delaroche with such subjects as might be expected from his brilliant and picturesque pencil. Fair forms, heroes and heroines in dazzling costume, the offspring of chivalry merging into what is commonly styled civilisation, moved in graceful or fantastic groups amid palaces and gardens. The ceiling, carved in the deep honeycomb fashion of the Saracens, was richly gilt and picked out in violet. Upon a violet carpet of velvet was represented the marriage of Cupid and Psyche. \n\nIt was about two hours after Coningsby had quitted Monmouth House, and Flora came in, sent for by Lady Monmouth as was her custom, to read to her as she was employed with some light work. \n\n''Tis a new book of Sue,' said Lucretia. 'They say it is good.' \n\nFlora, seated by her side, began to read. Reading was an accomplishment which distinguished Flora; but to-day her voice faltered, her expression was uncertain; she seemed but imperfectly to comprehend her page. More than once Lady Monmouth looked round at her with an inquisitive glance. Suddenly Flora stopped and burst into tears. \n\n'O! madam,' she at last exclaimed, 'if you would but speak to Mr. Coningsby, all might be right!' \n\n'What is this?' said Lady Monmouth, turning quickly on the sofa; then, collecting herself in an instant, she continued with less abruptness, and more suavity than usual, 'Tell me, Flora, what is it; what is the matter?' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87590\": \"Where is Lady Monmouth?\"\n },\n {\n \"87591\": \"Is it a nice one?\"\n },\n {\n \"87592\": \"Who did the artwork on the walls?\"\n },\n {\n \"87593\": \"Is he a good artist?\"\n },\n {\n \"87594\": \"What color is the ceiling?\"\n },\n {\n \"87595\": \"Who's union is depicted?\"\n },\n {\n \"87596\": \"What is Lady Monmouth resting on?\"\n },\n {\n \"87597\": \"Who was this room supposed to be for?\"\n },\n {\n \"87598\": \"Who was under the impression it would be hers?\"\n },\n {\n \"87599\": \"Who did Lady Monmouth ask to see?\"\n },\n {\n \"87600\": \"Why?\"\n },\n {\n \"87601\": \"Who had left the house by then?\"\n },\n {\n \"87602\": \"How long had he been gone?\"\n },\n {\n \"87603\": \"Where did Flora sit?\"\n },\n {\n \"87604\": \"Is she good at reading?\"\n },\n {\n \"87605\": \"Who starts to cry?\"\n },\n {\n \"87606\": \"Had she been doing a good job with the reading?\"\n },\n {\n \"87607\": \"What was Lady Monmouth doing while she read?\"\n },\n {\n \"87608\": \"What is being read?\"\n },\n {\n \"87609\": \"What does Flora want her to do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87590\",\n \"answer\": \"in the boudoir\"\n },\n {\n \"question_id\": \"87591\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87592\",\n \"answer\": \"Delaroche\"\n },\n {\n \"question_id\": \"87593\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87594\",\n \"answer\": \"violet\"\n },\n {\n \"question_id\": \"87595\",\n \"answer\": \"Cupid and Psyche\"\n },\n {\n \"question_id\": \"87596\",\n \"answer\": \"a sofa\"\n },\n {\n \"question_id\": \"87597\",\n \"answer\": \"Princess Colonna\"\n },\n {\n \"question_id\": \"87598\",\n \"answer\": \"Mr. Rigby\"\n },\n {\n \"question_id\": \"87599\",\n \"answer\": \"Flora\"\n },\n {\n \"question_id\": \"87600\",\n \"answer\": \"to read to her\"\n },\n {\n \"question_id\": \"87601\",\n \"answer\": \"Coningsby\"\n },\n {\n \"question_id\": \"87602\",\n \"answer\": \"about two hours\"\n },\n {\n \"question_id\": \"87603\",\n \"answer\": \"by her side\"\n },\n {\n \"question_id\": \"87604\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87605\",\n \"answer\": \"Flora\"\n },\n {\n \"question_id\": \"87606\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87607\",\n \"answer\": \"some light work\"\n },\n {\n \"question_id\": \"87608\",\n \"answer\": \"a new book called Sue\"\n },\n {\n \"question_id\": \"87609\",\n \"answer\": \"speak to Mr. Coningsby,\"\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) -- Henrik Stenson kept his cool to collect the biggest paycheck of his career Sunday, landing a $10 million FedEx Cup jackpot along with the $1.44 million prize for winning the Tour Championship in Atlanta. \n\nThe Swede, who also collected $1.44 million for winning the Deutsche Bank Championship earlier this month, finished three shots clear of young American hope Jordan Spieth and veteran Steve Stricker. \n\nThe 37-year-old went into the final day at East Lake with a four-stroke advantage, having been nine ahead halfway through Saturday's round, but Spieth ate into that as he fired a superb six-under-par 64. \n\nThe 20-year-old, who won his first PGA Tour title in July while still a teen, had carded eight birdies until his second bogey at 17 dimmed his hopes of a remarkable victory. \n\n\"It's been a dream come true,\" said Spieth, who had nine top-10 finishes in his rookie year. \n\nStricker, second behind Stenson in Boston and tied for fourth at last week's BMW Championship, made his charge with an eagle three at the 15th but he could only par from there as he also finished on 10 under. \n\nIt put the 46-year-old in third place in the FedEx Cup standings, while Spieth was seventh. \n\nStenson had given them hope when he dropped a shot at 14, but allayed any fears of another blowout like Saturday as he bounced back immediately with a birdie and finished with pars to complete a memorable wire-to-wire victory. \n\nWebb Simpson shot the round of the day, a flawless seven-birdie 63 that lifted the 2012 U.S. Open winner up to fourth on 271 -- two shots ahead of his successor Justin Rose (67). \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88828\": \"who shot the round of the day?\"\n },\n {\n \"88829\": \"who dropped a shot at 14?\"\n },\n {\n \"88830\": \"how much did Stenson win in the jackpot?\"\n },\n {\n \"88831\": \"Did he win any other money?\"\n },\n {\n \"88832\": \"How old is Stenson?\"\n },\n {\n \"88833\": \"who won the 2012 U.S open?\"\n },\n {\n \"88834\": \"how many top 10 finishes did Spieth have?\"\n },\n {\n \"88835\": \"Who said \\\"it's been a dream come true\\\"?\"\n },\n {\n \"88836\": \"How old is Speith?\"\n },\n {\n \"88837\": \"What other money did Stenson win?\"\n },\n {\n \"88838\": \"Where is Stenson from?\"\n },\n {\n \"88839\": \"Where is Jordan Spieth from?\"\n },\n {\n \"88840\": \"Were there any other golfers mentioned?\"\n },\n {\n \"88841\": \"Who finished 10 under?\"\n },\n {\n \"88842\": \"How many shots did Stenson win by?\"\n },\n {\n \"88843\": \"Who is in third place in the fedex cup?\"\n },\n {\n \"88844\": \"Who got a bogey at 17?\"\n },\n {\n \"88845\": \"Who is Simpson's successor?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88828\",\n \"answer\": \"Webb Simpson\"\n },\n {\n \"question_id\": \"88829\",\n \"answer\": \"Henrik Stenson\"\n },\n {\n \"question_id\": \"88830\",\n \"answer\": \"$10 million\"\n },\n {\n \"question_id\": \"88831\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88832\",\n \"answer\": \"37\"\n },\n {\n \"question_id\": \"88833\",\n \"answer\": \"Webb Simpson\"\n },\n {\n \"question_id\": \"88834\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"88835\",\n \"answer\": \"Jordan Spieth\"\n },\n {\n \"question_id\": \"88836\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"88837\",\n \"answer\": \"$1.44 million\"\n },\n {\n \"question_id\": \"88838\",\n \"answer\": \"Sweden\"\n },\n {\n \"question_id\": \"88839\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"88840\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88841\",\n \"answer\": \"Steve Stricker\"\n },\n {\n \"question_id\": \"88842\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"88843\",\n \"answer\": \"Stricker\"\n },\n {\n \"question_id\": \"88844\",\n \"answer\": \"Jordan Spieth\"\n },\n {\n \"question_id\": \"88845\",\n \"answer\": \"Justin Rose\"\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 Early Christianity is the period of Christianity preceding the First Council of Nicaea in 325. It is typically divided into the Apostolic Age and the Ante-Nicene Period (from the Apostolic Age until Nicea). \n\nThe first Christians, as described in the first chapters of the Acts of the Apostles, were all Jews either by birth or conversion, for which the biblical term \"proselyte\" is used, and referred to by historians as Jewish Christians. The early Gospel message was spread orally, probably in Aramaic, but almost immediately also in Greek. The New Testament's Acts of the Apostles and Epistle to the Galatians record that the first Christian community was centered in Jerusalem and its leaders included Saint Peter, James, the brother of Jesus, and John the Apostle. \n\nAfter the conversion of Paul the Apostle, he claimed the title of \"Apostle to the Gentiles\". Paul's influence on Christian thinking is said to be more significant than that of any other New Testament author. By the end of the 1st century, Christianity began to be recognized internally and externally as a separate religion from Judaism which itself was refined and developed further in the centuries after the destruction of the Second Temple. \n\nNumerous quotations in the New Testament and other Christian writings of the first centuries, indicate that early Christians generally used and revered the Hebrew Bible (the Tanakh) as religious text, mostly in the Greek (Septuagint) or Aramaic (Targum) translations.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97705\": \"What is Early Christianity?\"\n },\n {\n \"97706\": \"How many ages or periods is it divided into?\"\n },\n {\n \"97707\": \"What were they known as?\"\n },\n {\n \"97708\": \"Were the first Christians Jewish?\"\n },\n {\n \"97709\": \"Did they have to be jewish by birth?\"\n },\n {\n \"97710\": \"Could people become jewish by conversion?\"\n },\n {\n \"97711\": \"What was the term for this?\"\n },\n {\n \"97712\": \"How was the early Gospel spread?\"\n },\n {\n \"97713\": \"What language was used?\"\n },\n {\n \"97714\": \"Where was the first Christian community based?\"\n },\n {\n \"97715\": \"Who were some of it's leaders?\"\n },\n {\n \"97716\": \"What did Paul claim?\"\n },\n {\n \"97717\": \"Who was the most significant new testament author?\"\n },\n {\n \"97718\": \"When did Chritianity become widely recognized?\"\n },\n {\n \"97719\": \"What religion was it separate from?\"\n },\n {\n \"97720\": \"What temple was destroyed?\"\n },\n {\n \"97721\": \"Did Christians revere the Hebrew bible?\"\n },\n {\n \"97722\": \"What is the Hebrew Bible also known as?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97705\",\n \"answer\": \"the period of Christianity preceding the First Council of Nicaea in 325\"\n },\n {\n \"question_id\": \"97706\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"97707\",\n \"answer\": \"the Apostolic Age and the Ante-Nicene Period\"\n },\n {\n \"question_id\": \"97708\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97709\",\n \"answer\": \"some where not a requirement though\"\n },\n {\n \"question_id\": \"97710\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97711\",\n \"answer\": \"\\\"proselyte\\\"\"\n },\n {\n \"question_id\": \"97712\",\n \"answer\": \"verbaly\"\n },\n {\n \"question_id\": \"97713\",\n \"answer\": \"probably in Aramaic, but almost immediately also in Greek.\"\n },\n {\n \"question_id\": \"97714\",\n \"answer\": \"in Jerusalem\"\n },\n {\n \"question_id\": \"97715\",\n \"answer\": \"Saint Peter, James, the brother of Jesus, and John the Apostle\"\n },\n {\n \"question_id\": \"97716\",\n \"answer\": \"the title of \\\"Apostle to the Gentiles\"\n },\n {\n \"question_id\": \"97717\",\n \"answer\": \"Paul the Apostle,\"\n },\n {\n \"question_id\": \"97718\",\n \"answer\": \"By the end of the 1st century,\"\n },\n {\n \"question_id\": \"97719\",\n \"answer\": \"Judaism\"\n },\n {\n \"question_id\": \"97720\",\n \"answer\": \"the Second Temple.\"\n },\n {\n \"question_id\": \"97721\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97722\",\n \"answer\": \"the Tanakh\"\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 III. \n\nTWO QUARRELS. \n\nThree days later the shooting party assembled. Several gentlemen came to stay at the house, while Ronald Mervyn and his party, of course, put up at Mervyn Hall. The shooting was very successful, and the party were well pleased with their visit. Reginald Carne was quiet and courteous to his guests, generally accompanying them through the day, though he did not himself carry a gun. After the first day's shooting there was a dinner party at Mervyn Hall, and the following evening there was one at The Hold. \n\nLieutenant Gulston enjoyed himself more than any one else, though he was one of the least successful of the sportsmen, missing easy shots in a most unaccountable manner, and seeming to take but moderate interest in the shooting. He had, very shortly after arriving at the house, come to the conclusion that the doctor was altogether mistaken, and that Reginald Carne showed no signs whatever of being in any way different from other men. \"The doctor is so accustomed to us sailors,\" he said to himself, \"that if a man is quiet and studious he begins to fancy directly there must be something queer about him. That is always the way with doctors who make madness a special study. They suspect every one they come across of being out of their mind. I shouldn't be at all surprised if he doesn't fancy I am cracked myself. The idea is perfectly absurd. I watched Carne closely at dinner, and no one could have been more pleasant and gentlemanly than he was. I expect Mackenzie must have heard a word let drop about this old story, and of course if he did he would set down Carne at once as being insane. Well, thank goodness, that's off my mind; it's been worrying me horribly for the last few days. I have been a fool to trouble myself so about Mackenzie's croakings, but now I will not think anything more about it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94604\": \"Who had the most of fun of anyone there?\"\n },\n {\n \"94605\": \"How had his day gone, compared to everyone else's?\"\n },\n {\n \"94606\": \"How were his shooting skills that day?\"\n },\n {\n \"94607\": \"Did he seem very into it?\"\n },\n {\n \"94608\": \"What had he decided about the doctor earlier?\"\n },\n {\n \"94609\": \"About who?\"\n },\n {\n \"94610\": \"What had the doctor diagnosed him as?\"\n },\n {\n \"94611\": \"What does he say the doctor might think of him?\"\n },\n {\n \"94612\": \"How long after the hunt convened did guests stay at the house?\"\n },\n {\n \"94613\": \"Who stayed at Mervyn Hall?\"\n },\n {\n \"94614\": \"Was anyone with him?\"\n },\n {\n \"94615\": \"Was everyone feeling good about the trip?\"\n },\n {\n \"94616\": \"Was the hunt victorious?\"\n },\n {\n \"94617\": \"Who was quiet?\"\n },\n {\n \"94618\": \"But was he polite?\"\n },\n {\n \"94619\": \"To who?\"\n },\n {\n \"94620\": \"Did he accompany the other guys on the hunt?\"\n },\n {\n \"94621\": \"Did he have a firearm?\"\n },\n {\n \"94622\": \"Where did everyone eat the first night?\"\n },\n {\n \"94623\": \"And the next night?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94604\",\n \"answer\": \"Lieutenant Gulston.\"\n },\n {\n \"question_id\": \"94605\",\n \"answer\": \"One of the least successful.\"\n },\n {\n \"question_id\": \"94606\",\n \"answer\": \"He was missing easy shots.\"\n },\n {\n \"question_id\": \"94607\",\n \"answer\": \"Moderately.\"\n },\n {\n \"question_id\": \"94608\",\n \"answer\": \"He was altogether mistaken.\"\n },\n {\n \"question_id\": \"94609\",\n \"answer\": \"Reginald Carne.\"\n },\n {\n \"question_id\": \"94610\",\n \"answer\": \"Being out of his mind.\"\n },\n {\n \"question_id\": \"94611\",\n \"answer\": \"I am cracked myself.\"\n },\n {\n \"question_id\": \"94612\",\n \"answer\": \"Three days later.\"\n },\n {\n \"question_id\": \"94613\",\n \"answer\": \"Ronald Mervyn.\"\n },\n {\n \"question_id\": \"94614\",\n \"answer\": \"His party.\"\n },\n {\n \"question_id\": \"94615\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94616\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94617\",\n \"answer\": \"Reginald Carne.\"\n },\n {\n \"question_id\": \"94618\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94619\",\n \"answer\": \"His guests.\"\n },\n {\n \"question_id\": \"94620\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94621\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"94622\",\n \"answer\": \"Mervyn Hall.\"\n },\n {\n \"question_id\": \"94623\",\n \"answer\": \"The Hold.\"\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 New York (CNN) -- A 35-year-old woman on a first date plummeted to her death early Thursday morning when she fell from the balcony of her 17th floor New York City apartment. \n\nJennifer Rosoff went outside on her balcony around 12:50 a.m. Thursday to talk and smoke a cigarette with her date when the balcony's railing broke, according to police. \n\nIt's unclear whether Rosoff leaned on the balcony, causing it to give way. \n\nShe landed on a second-story construction scaffolding of the building and was pronounced dead at the scene, police said. \n\nRosoff's employer, online advertising startup TripleLift, released a statement expressing sorrow at the news of her death. \n\n\"We are all deeply saddened by the sudden and tragic loss of our dear friend and co-worker,\" the statement said. \"Her tremendous energy and humor brought so much joy to the office.\" \n\nRichard Dansereau, managing director of Stonehenge Management LLC, the company that manages the building, also released a statement. \n\n\"This is a tragedy, and our sincere condolences go out to the family and friends of Ms. Rosoff,\" he said. \"We are cooperating fully with the investigation into the cause of this terrible accident.\" \n\nA statement provided to CNN from the New York City Department of Buildings said the agency is investigating and issued a vacate order for all balconies in the building as a precaution. \n\nAccording to her Linkedin profile, Rosoff worked as director of sales at TripleLift for the past five months and had previously held positions at The New Yorker, Conde Nast and Cosmopolitan magazine. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86205\": \"Who fell from a balcony?\"\n },\n {\n \"86206\": \"How old was she?\"\n },\n {\n \"86207\": \"How many stories did she fall?\"\n },\n {\n \"86208\": \"Whose apartment was she at?\"\n },\n {\n \"86209\": \"Was she alone?\"\n },\n {\n \"86210\": \"Who was she with?\"\n },\n {\n \"86211\": \"Did they know each other well?\"\n },\n {\n \"86212\": \"Why was she on the balcony?\"\n },\n {\n \"86213\": \"At what time did the accident occur?\"\n },\n {\n \"86214\": \"Where did she land?\"\n },\n {\n \"86215\": \"Was she taken to the hospital?\"\n },\n {\n \"86216\": \"Was it clear why the railing broke?\"\n },\n {\n \"86217\": \"Who is investigating?\"\n },\n {\n \"86218\": \"Was Jennifer employed at the time of her death?\"\n },\n {\n \"86219\": \"By whom?\"\n },\n {\n \"86220\": \"In what position?\"\n },\n {\n \"86221\": \"What did her employer compliment her on?\"\n },\n {\n \"86222\": \"What other companies had she previously worked for?\"\n },\n {\n \"86223\": \"Is the building manager cooperating with investigations?\"\n },\n {\n \"86224\": \"What is his name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86205\",\n \"answer\": \"Jennifer Rosoff\"\n },\n {\n \"question_id\": \"86206\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"86207\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"86208\",\n \"answer\": \"her own\"\n },\n {\n \"question_id\": \"86209\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86210\",\n \"answer\": \"her date\"\n },\n {\n \"question_id\": \"86211\",\n \"answer\": \"it was a first date\"\n },\n {\n \"question_id\": \"86212\",\n \"answer\": \"To talk and smoke\"\n },\n {\n \"question_id\": \"86213\",\n \"answer\": \"around 12:50 a.m.\"\n },\n {\n \"question_id\": \"86214\",\n \"answer\": \"On a second-story construction scaffolding\"\n },\n {\n \"question_id\": \"86215\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86216\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86217\",\n \"answer\": \"Department of Buildings\"\n },\n {\n \"question_id\": \"86218\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86219\",\n \"answer\": \"TripleLift\"\n },\n {\n \"question_id\": \"86220\",\n \"answer\": \"director of sales\"\n },\n {\n \"question_id\": \"86221\",\n \"answer\": \"Her tremendous energy and humor\"\n },\n {\n \"question_id\": \"86222\",\n \"answer\": \"The New Yorker, Conde Nast and Cosmopolitan magazine.\"\n },\n {\n \"question_id\": \"86223\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86224\",\n \"answer\": \"Richard Dansereau,\"\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 This is a story about a boy called Sparky. For Sparky, school was all but impossible. He failed every subject in the eighth grade. He got a zero in physics. It made him the worst physics student in the school's history. He didn't do much better in sports. Although he tried to join the school's golf team, he quickly lost the only important match. He didn't have friends, either. Other kids didn't care about him. If a classmate said \"Hello\" to Sparky outside of school, he would feel very surprised. Sparky was a loser and everyone knew it. So he accepted it. But one thing was important to Sparky---drawing. He was proud of his artwork. In senior high school, he sent some cartoons to the editors of the yearbook but he was refused. Sparky was hurt. But he didn't lose hope because he believed in his ability and he _ . He decided to become a professional artist. He wrote a letter to the Walt Disney Studios after graduating from high school. The studio asked him to draw some cartoons on a certain subject. Sparky spent a lot of time on the cartoons. Finally, the reply came from Disney Studios: they aren't like cartoons. Was it time to stop drawing? Sparky didn't think so. He started to put his own life in the cartoons. He created his childhood self----a little boy loser: Charlie Brown. He wasn't good at football.But Charlie Brown would soon become famous worldwide. Sparky, the boy who used to fail in school and who was refused again and again, was Charles Schulz. He created the Peanuts comic strip and the world-famous cartoon characters Charlie Brown and Snoopy.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"602\": \"What did the person in the story eventually make?\"\n },\n {\n \"603\": \"Which were a part of what?\"\n },\n {\n \"604\": \"What was his nickname?\"\n },\n {\n \"605\": \"And his real name?\"\n },\n {\n \"606\": \"Was the main character good at school?\"\n },\n {\n \"607\": \"What year did he not pass a class?\"\n },\n {\n \"608\": \"Did he not get a single point in a class?\"\n },\n {\n \"609\": \"Which class did he fail at the worst?\"\n },\n {\n \"610\": \"Did anyone do worse than him in the class in the school's history?\"\n },\n {\n \"611\": \"What did he like doing?\"\n },\n {\n \"612\": \"Was he a winner in life?\"\n },\n {\n \"613\": \"What did he want to do as a career?\"\n },\n {\n \"614\": \"Where did he try to get a job at?\"\n },\n {\n \"615\": \"What did he draw for them?\"\n },\n {\n \"616\": \"Did they like them?\"\n },\n {\n \"617\": \"What character did he base off himself?\"\n },\n {\n \"618\": \"Was the character also bad at school?\"\n },\n {\n \"619\": \"Did the cartoonist have a lot of friends growing up?\"\n },\n {\n \"620\": \"What sport did he try to play?\"\n },\n {\n \"621\": \"What about the cartoon character?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"602\",\n \"answer\": \"Charlie Brown and Snoopy.\"\n },\n {\n \"question_id\": \"603\",\n \"answer\": \"Peanuts comic strip\"\n },\n {\n \"question_id\": \"604\",\n \"answer\": \"Sparky\"\n },\n {\n \"question_id\": \"605\",\n \"answer\": \"Charlie Brown\"\n },\n {\n \"question_id\": \"606\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"607\",\n \"answer\": \"eighth grade.\"\n },\n {\n \"question_id\": \"608\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"609\",\n \"answer\": \"physics\"\n },\n {\n \"question_id\": \"610\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"611\",\n \"answer\": \"artwork\"\n },\n {\n \"question_id\": \"612\",\n \"answer\": \"not as a child\"\n },\n {\n \"question_id\": \"613\",\n \"answer\": \"a professional artist\"\n },\n {\n \"question_id\": \"614\",\n \"answer\": \"Walt Disney Studios\"\n },\n {\n \"question_id\": \"615\",\n \"answer\": \"cartoons\"\n },\n {\n \"question_id\": \"616\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"617\",\n \"answer\": \"a little boy loser: Charlie Brown.\"\n },\n {\n \"question_id\": \"618\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"619\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"620\",\n \"answer\": \"golf\"\n },\n {\n \"question_id\": \"621\",\n \"answer\": \"football\"\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\nON THE WAY TO PUTNAM HALL \n\n\"I don't think we'll want to send word to Aunt Martha to be taken back,\" observed Sam, who sat on the driver's seat with the hired man. \n\n\"Neither do I,\" returned Tom. \"To be sure, we have a nice enough home here, but it's dreadfully slow.\" \n\n\"There is no telling what may be in store for us,\" joined in Dick. \"Don't you remember how Fred Garrison fared at Holly School? That institution sent out a splendid circular, and when Fred got there they almost starved him to death.\" \n\n\"That is true. Where is Fred now?\" \n\n\"I don't know.\" \n\n\"Mr. Colby wouldn't recommend Putnam Hall if it wasn't all right,\" remarked Tom. \"Jack, whip up the team, or we'll miss that train.\" \n\n\"They are going putty well now, Master Tom,\" replied the driver. \n\nThe trunks had gone on ahead, and when they reached the depot at Oak Run they found old Ricks grumbling because no one was there to check them. \n\n\"Do you reckon I'm going to be responsible for everybody's baggage?\" he snarled as Dick approached him. \n\n\"I'll check them as soon as I can get tickets,\" answered Dick curtly. \"What an old bear he is!\" he whispered to Tom. \"He didn't treat me half decently when I was over here about the watch.\" \n\n\"If only we had a little time I would fix him,\" whispered Tom in return. He had sobered down for several days now and was dying to play a trick on somebody. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40014\": \"Where are they driving to?\"\n },\n {\n \"40015\": \"Were they carrying their baggage with them?\"\n },\n {\n \"40016\": \"Where would they go to on the train?\"\n },\n {\n \"40017\": \"Where was the depot?\"\n },\n {\n \"40018\": \"Who was there?\"\n },\n {\n \"40019\": \"Was he in a good mood?\"\n },\n {\n \"40020\": \"Why not?\"\n },\n {\n \"40021\": \"Do they already have tickets?\"\n },\n {\n \"40022\": \"Where did Fred go to school?\"\n },\n {\n \"40023\": \"Did he have a good time there?\"\n },\n {\n \"40024\": \"Is Fred still at the school?\"\n },\n {\n \"40025\": \"What's the driver's name?\"\n },\n {\n \"40026\": \"Does Dick get along with Ricks?\"\n },\n {\n \"40027\": \"Who was sitting beside the driver?\"\n },\n {\n \"40028\": \"What is their aunt's name?\"\n },\n {\n \"40029\": \"Who would check the luggage?\"\n },\n {\n \"40030\": \"Who suggested they go to Putnam Hall?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40014\",\n \"answer\": \"The train station\"\n },\n {\n \"question_id\": \"40015\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40016\",\n \"answer\": \"Putnam Hall\"\n },\n {\n \"question_id\": \"40017\",\n \"answer\": \"Oak Run\"\n },\n {\n \"question_id\": \"40018\",\n \"answer\": \"Ricks\"\n },\n {\n \"question_id\": \"40019\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"40020\",\n \"answer\": \"no one was there to check the trunks\"\n },\n {\n \"question_id\": \"40021\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40022\",\n \"answer\": \"Holly School\"\n },\n {\n \"question_id\": \"40023\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"40024\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"40025\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"40026\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40027\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"40028\",\n \"answer\": \"Aunt Martha\"\n },\n {\n \"question_id\": \"40029\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"40030\",\n \"answer\": \"Mr. Colby\"\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 Most Honourable Order of the Bath (formerly the Most Honourable Military Order of the Bath) is a British order of chivalry founded by George I on 18 May 1725. The name derives from the elaborate medieval ceremony for appointing a knight, which involved bathing (as a symbol of purification) as one of its elements. The knights so created were known as \"Knights of the Bath\". George I \"erected the Knights of the Bath into a regular Military Order\". He did not (as is commonly believed) revive the Order of the Bath, since it had never previously existed as an Order, in the sense of a body of knights who were governed by a set of statutes and whose numbers were replenished when vacancies occurred. \n\nThe Order consists of the Sovereign (currently Queen Elizabeth II), the (currently The Prince of Wales), and three Classes of members: Members belong to either the Civil or the Military Division. Prior to 1815, the order had only a single class, Knight Companion (KB), which no longer exists. Recipients of the Order are now usually senior military officers or senior civil servants. Commonwealth citizens who are not subjects of the Queen and foreign nationals may be made Honorary Members.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77030\": \"what is The Most Honourable Order of the Bath?\"\n },\n {\n \"77031\": \"how many classes of members does it have?\"\n },\n {\n \"77032\": \"who are the sovereigns currently?\"\n },\n {\n \"77033\": \"who founded the order?\"\n },\n {\n \"77034\": \"when?\"\n },\n {\n \"77035\": \"before 1815 how many classes were there?\"\n },\n {\n \"77036\": \"what was it?\"\n },\n {\n \"77037\": \"doe they still have it?\"\n },\n {\n \"77038\": \"what were created knights known as?\"\n },\n {\n \"77039\": \"did George I revive the order?\"\n },\n {\n \"77040\": \"who are admitted to the order now?\"\n },\n {\n \"77041\": \"can you be a member if you aren't one of the queen's subjects?\"\n },\n {\n \"77042\": \"what type of member?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77030\",\n \"answer\": \"is a British order of chivalry\"\n },\n {\n \"question_id\": \"77031\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"77032\",\n \"answer\": \"Queen Elizabeth II and The Prince of Wales\"\n },\n {\n \"question_id\": \"77033\",\n \"answer\": \"George I\"\n },\n {\n \"question_id\": \"77034\",\n \"answer\": \"18 May 1725\"\n },\n {\n \"question_id\": \"77035\",\n \"answer\": \"just one\"\n },\n {\n \"question_id\": \"77036\",\n \"answer\": \"Knight Companion\"\n },\n {\n \"question_id\": \"77037\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77038\",\n \"answer\": \"\\\"Knights of the Bath\\\"\"\n },\n {\n \"question_id\": \"77039\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77040\",\n \"answer\": \"usually senior military officers or senior civil servants\"\n },\n {\n \"question_id\": \"77041\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77042\",\n \"answer\": \"Honorary Members\"\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: BESET \n\nDuring the winter Hannibal made every preparation to ensure the tranquillity of Spain while he was absent. In order to lessen the number of possible enemies there he raised a body of twelve hundred horse and fourteen thousand infantry from among the most turbulent tribes, and sent them across to Africa to serve as garrisons in Carthage and other points, while an equal number of African troops were brought over to garrison Spain, of which Hasdrubal, Hannibal's brother, was to have the government during his absence. \n\nHanno, an able general, was to command the force which was to be left in southern Gaul to keep open the communications between the Pyrenees and the Alps, while the youngest brother, Mago, a youth of about the same age as Malchus, was to accompany him to Italy. Hannibal's wife and a child which had been born in the preceding spring, were sent by ship to Carthage. \n\nIn the early spring the march commenced, the army following the coast line until it reached the mouth of the Ebro. The mountainous and broken country lying between this river and the Pyrenees, and now known as Catalonia, was inhabited by fierce tribes unconquered as yet by Roman or Carthaginian. Its conquest presented enormous difficulties. There was no coherence between its people; but each valley and mountain was a stronghold to be defended desperately until the last. The inhabitants, accustomed to the mountains, were hardy, active, and, vigourous, ready to oppose a desperate resistance so long as resistance was possible, and then to flee across their hills at a speed which defied the fleetest of their pursuers. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63041\": \"What did Hannibal prepare for?\"\n },\n {\n \"63042\": \"When?\"\n },\n {\n \"63043\": \"Where were infantry sent?\"\n },\n {\n \"63044\": \"Why?\"\n },\n {\n \"63045\": \"How many were there?\"\n },\n {\n \"63046\": \"Were there any other military?\"\n },\n {\n \"63047\": \"What type?\"\n },\n {\n \"63048\": \"How many?\"\n },\n {\n \"63049\": \"Who was in control of the government?\"\n },\n {\n \"63050\": \"Who was Hanno?\"\n },\n {\n \"63051\": \"Where was he commanding?\"\n },\n {\n \"63052\": \"What was his goal?\"\n },\n {\n \"63053\": \"Between who?\"\n },\n {\n \"63054\": \"Where were Hannibal's family?\"\n },\n {\n \"63055\": \"When did the troops start marching again?\"\n },\n {\n \"63056\": \"Where did they go?\"\n },\n {\n \"63057\": \"To where?\"\n },\n {\n \"63058\": \"Was this a peaceful land?\"\n },\n {\n \"63059\": \"Why not?\"\n },\n {\n \"63060\": \"Were there other inhabitants?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63041\",\n \"answer\": \"tranquillity of Spain\"\n },\n {\n \"question_id\": \"63042\",\n \"answer\": \"winter\"\n },\n {\n \"question_id\": \"63043\",\n \"answer\": \"Africa\"\n },\n {\n \"question_id\": \"63044\",\n \"answer\": \"serve as garrisons\"\n },\n {\n \"question_id\": \"63045\",\n \"answer\": \"fourteen thousand infantry\"\n },\n {\n \"question_id\": \"63046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63047\",\n \"answer\": \"horse\"\n },\n {\n \"question_id\": \"63048\",\n \"answer\": \"twelve hundred\"\n },\n {\n \"question_id\": \"63049\",\n \"answer\": \"Hasdrubal\"\n },\n {\n \"question_id\": \"63050\",\n \"answer\": \"general\"\n },\n {\n \"question_id\": \"63051\",\n \"answer\": \"southern Gaul\"\n },\n {\n \"question_id\": \"63052\",\n \"answer\": \"keep open the communications\"\n },\n {\n \"question_id\": \"63053\",\n \"answer\": \"the Pyrenees and the Alps\"\n },\n {\n \"question_id\": \"63054\",\n \"answer\": \"sent by ship to Carthage\"\n },\n {\n \"question_id\": \"63055\",\n \"answer\": \"early spring\"\n },\n {\n \"question_id\": \"63056\",\n \"answer\": \"followed the coast line\"\n },\n {\n \"question_id\": \"63057\",\n \"answer\": \"mouth of the Ebro\"\n },\n {\n \"question_id\": \"63058\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63059\",\n \"answer\": \"they were unconquered\"\n },\n {\n \"question_id\": \"63060\",\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) -- 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 Relations between Grand Lodges are determined by the concept of Recognition. Each Grand Lodge maintains a list of other Grand Lodges that it recognises. When two Grand Lodges recognise and are in Masonic communication with each other, they are said to be in amity, and the brethren of each may visit each other's Lodges and interact Masonically. When two Grand Lodges are not in amity, inter-visitation is not allowed. There are many reasons why one Grand Lodge will withhold or withdraw recognition from another, but the two most common are Exclusive Jurisdiction and Regularity. \n\nSince the middle of the 19th century, Masonic historians have sought the origins of the movement in a series of similar documents known as the Old Charges, dating from the Regius Poem in about 1425 to the beginning of the 18th century. Alluding to the membership of a lodge of operative masons, they relate a mythologised history of the craft, the duties of its grades, and the manner in which oaths of fidelity are to be taken on joining. The fifteenth century also sees the first evidence of ceremonial regalia.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66551\": \"What are relations Grand lodges determined by?\"\n },\n {\n \"66552\": \"Who carries a list?\"\n },\n {\n \"66553\": \"of what?\"\n },\n {\n \"66554\": \"What does aminty mean?\"\n },\n {\n \"66555\": \"what does this allow them?\"\n },\n {\n \"66556\": \"What about if they are not?\"\n },\n {\n \"66557\": \"Why would this happen?\"\n },\n {\n \"66558\": \"like?\"\n },\n {\n \"66559\": \"What are Old Charges?\"\n },\n {\n \"66560\": \"When are they dated from?\"\n },\n {\n \"66561\": \"What is in them?\"\n },\n {\n \"66562\": \"what else?\"\n },\n {\n \"66563\": \"and?\"\n },\n {\n \"66564\": \"When was ceremonial regalia seen?\"\n },\n {\n \"66565\": \"What has happened since the 19th century?\"\n },\n {\n \"66566\": \"When was the Reglus Poem noted?\"\n },\n {\n \"66567\": \"Who was the membership for?\"\n },\n {\n \"66568\": \"Will a lodge withhold or withdraw recgonition?\"\n },\n {\n \"66569\": \"What are the two parts to Amity?\"\n },\n {\n \"66570\": \"Are the Old Charges similar?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66551\",\n \"answer\": \"y the concept of Recognition\"\n },\n {\n \"question_id\": \"66552\",\n \"answer\": \"Each Grand Lodge\"\n },\n {\n \"question_id\": \"66553\",\n \"answer\": \"of other Grand Lodges that it recognises\"\n },\n {\n \"question_id\": \"66554\",\n \"answer\": \"When two Grand Lodges recognise and are in Masonic communication with each other, they are said to be in amity\"\n },\n {\n \"question_id\": \"66555\",\n \"answer\": \"the brethren of each may visit each other's Lodges and interact Masonically\"\n },\n {\n \"question_id\": \"66556\",\n \"answer\": \"inter-visitation is not allowed\"\n },\n {\n \"question_id\": \"66557\",\n \"answer\": \"many reasons\"\n },\n {\n \"question_id\": \"66558\",\n \"answer\": \"Exclusive Jurisdiction and Regularity\"\n },\n {\n \"question_id\": \"66559\",\n \"answer\": \"a series of similar documents\"\n },\n {\n \"question_id\": \"66560\",\n \"answer\": \"about 1425 to the beginning of the 18th century\"\n },\n {\n \"question_id\": \"66561\",\n \"answer\": \"a mythologised history of the craft\"\n },\n {\n \"question_id\": \"66562\",\n \"answer\": \"the duties of its grades\"\n },\n {\n \"question_id\": \"66563\",\n \"answer\": \"the manner in which oaths of fidelity are to be taken on joining\"\n },\n {\n \"question_id\": \"66564\",\n \"answer\": \"The fifteenth century\"\n },\n {\n \"question_id\": \"66565\",\n \"answer\": \"Masonic historians have sought the origins of the movement\"\n },\n {\n \"question_id\": \"66566\",\n \"answer\": \"about 1425\"\n },\n {\n \"question_id\": \"66567\",\n \"answer\": \"operative masons\"\n },\n {\n \"question_id\": \"66568\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66569\",\n \"answer\": \"When two Grand Lodges recognise and are in Masonic communication with each othe\"\n },\n {\n \"question_id\": \"66570\",\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) -- Reigning world champion Sebastian Vettel started his 2011 Formula One defense in emphatic style on Sunday, leading the season-opening Australian Grand Prix in Melbourne from start to finish. \n\nMcLaren's 2008 world champion Lewis Hamilton did well to finish second after damaging his car on the first corner while Lotus Renault's Russian driver Vitaly Petrov achieved his first podium finish. \n\nThe 23-year-old German notched up his 11th win in his 63rd Formula 1 race. \n\nFernando Alonso finished fourth for Ferrari, with Mark Webber in his Red Bull in fifth place. Jenson Button came sixth in his McLaren. \n\nRed Bull team boss Christian Horner said after the race his team did not use its KERS power-boost system because of technical issues, underlining the scale of Vettel's victory. \n\nFollowing his triumph, Vettel said: \"It was a good race. In the end things calmed down, Lewis didn't push, but it was not an easy race. \n\n\"The start was crucial, I was on the clean side, but didn't know if it was enough until we got through the first corner. \n\n\"With Lewis dropping off later in the race, there was no pressure, so I was able to control it.\" \n\nAssessing the season ahead, Vettel added: \"It's a long season, so we have to keep on doing what we are doing now, enjoying, but working hard.\" \n\nHamilton was satisfied with his runner-up spot, saying: \"We can take this and be very proud of ourselves. A week or two ago we weren't expecting to be in the top five, so to come to second is a great achievement.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64815\": \"How old is the German?\"\n },\n {\n \"64816\": \"The start was what?\"\n },\n {\n \"64817\": \"Who was satisfied\"\n },\n {\n \"64818\": \"In the end what?\"\n },\n {\n \"64819\": \"Who lead the season\"\n },\n {\n \"64820\": \"Who dropped of?\"\n },\n {\n \"64821\": \"Who was champ in 2008?\"\n },\n {\n \"64822\": \"Where did the season open?\"\n },\n {\n \"64823\": \"What type of race?\"\n },\n {\n \"64824\": \"Who was Red Bull boss?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64815\",\n \"answer\": \"23\"\n },\n {\n \"question_id\": \"64816\",\n \"answer\": \"crucial,\"\n },\n {\n \"question_id\": \"64817\",\n \"answer\": \"Hamilton\"\n },\n {\n \"question_id\": \"64818\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64819\",\n \"answer\": \"Sebastian Vettel\"\n },\n {\n \"question_id\": \"64820\",\n \"answer\": \"Lewis\"\n },\n {\n \"question_id\": \"64821\",\n \"answer\": \"Lewis Hamilton\"\n },\n {\n \"question_id\": \"64822\",\n \"answer\": \"Melbourne\"\n },\n {\n \"question_id\": \"64823\",\n \"answer\": \"Grand Prix i\"\n },\n {\n \"question_id\": \"64824\",\n \"answer\": \"Christian Horner\"\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 Silurian is a geologic period and system spanning 24.6 million years from the end of the Ordovician Period, at million years ago (Mya), to the beginning of the Devonian Period, Mya. As with other geologic periods, the rock beds that define the period's start and end are well identified, but the exact dates are uncertain by several million years. The base of the Silurian is set at a major Ordovician–Silurian extinction events when 60% of marine species were wiped out. \n\nA significant evolutionary milestone during the Silurian was the diversification of jawed and bony fish. Multi-cellular life also began to appear on land in the form of small, bryophyte-like and vascular plants that grew beside lakes, streams, and coastlines, and terrestrial arthropods are also first found on land during the Silurian. However, terrestrial life would not greatly diversify and affect the landscape until the Devonian. \n\nThe Silurian system was first identified by British geologist Roderick Murchison, who was examining fossil-bearing sedimentary rock strata in south Wales in the early 1830s. He named the sequences for a Celtic tribe of Wales, the Silures, inspired by his friend Adam Sedgwick, who had named the period of his study the Cambrian, from the Latin name for Wales. This naming does not indicate any correlation between the occurrence of the Silurian rocks and the land inhabited by the Silures. In 1835 the two men presented a joint paper, under the title \"On the Silurian and Cambrian Systems, Exhibiting the Order in which the Older Sedimentary Strata Succeed each other in England and Wales,\" which was the germ of the modern geological time scale. As it was first identified, the \"Silurian\" series when traced farther afield quickly came to overlap Sedgwick's \"Cambrian\" sequence, however, provoking furious disagreements that ended the friendship. Charles Lapworth resolved the conflict by defining a new Ordovician system including the contested beds. An early alternative name for the Silurian was \"\"Gotlandian\"\" after the strata of the Baltic island of Gotland.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60540\": \"How long the Silurian period lasted?\"\n },\n {\n \"60541\": \"When did it start?\"\n },\n {\n \"60542\": \"When it ended?\"\n },\n {\n \"60543\": \"What signifies the Silurian period?\"\n },\n {\n \"60544\": \"What else?\"\n },\n {\n \"60545\": \"Where?\"\n },\n {\n \"60546\": \"like?\"\n },\n {\n \"60547\": \"How about plants?\"\n },\n {\n \"60548\": \"Was there lot of diversification?\"\n },\n {\n \"60549\": \"Until when?\"\n },\n {\n \"60550\": \"Who first came up with this period?\"\n },\n {\n \"60551\": \"Who was he?\"\n },\n {\n \"60552\": \"From which country?\"\n },\n {\n \"60553\": \"When he was doing his research?\"\n },\n {\n \"60554\": \"Where?\"\n },\n {\n \"60555\": \"Did he name it after something?\"\n },\n {\n \"60556\": \"After what?\"\n },\n {\n \"60557\": \"What they were called?\"\n },\n {\n \"60558\": \"Who inspired him in that?\"\n },\n {\n \"60559\": \"What he discovered?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60540\",\n \"answer\": \"24.6 million years\"\n },\n {\n \"question_id\": \"60541\",\n \"answer\": \"end of the Ordovician Period\"\n },\n {\n \"question_id\": \"60542\",\n \"answer\": \"beginning of the Devonian Period\"\n },\n {\n \"question_id\": \"60543\",\n \"answer\": \"diversification of jawed and bony fish\"\n },\n {\n \"question_id\": \"60544\",\n \"answer\": \"Multi-cellular life\"\n },\n {\n \"question_id\": \"60545\",\n \"answer\": \"on land\"\n },\n {\n \"question_id\": \"60546\",\n \"answer\": \"bryophyte\"\n },\n {\n \"question_id\": \"60547\",\n \"answer\": \"found on land\"\n },\n {\n \"question_id\": \"60548\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60549\",\n \"answer\": \"Devonian period\"\n },\n {\n \"question_id\": \"60550\",\n \"answer\": \"Roderick Murchison\"\n },\n {\n \"question_id\": \"60551\",\n \"answer\": \"geologist\"\n },\n {\n \"question_id\": \"60552\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"60553\",\n \"answer\": \"1830s\"\n },\n {\n \"question_id\": \"60554\",\n \"answer\": \"south Wales\"\n },\n {\n \"question_id\": \"60555\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60556\",\n \"answer\": \"Celtic tribe of Wales\"\n },\n {\n \"question_id\": \"60557\",\n \"answer\": \"Silures\"\n },\n {\n \"question_id\": \"60558\",\n \"answer\": \"Adam Sedgwick\"\n },\n {\n \"question_id\": \"60559\",\n \"answer\": \"Cambrian sequence\"\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 XXXVI. \n\nGRACE CRAWLEY RETURNS HOME. \n\n[Illustration] \n\nAbout this time Grace Crawley received two letters, the first of them reaching her while John Eames was still at the cottage, and the other immediately after his return to London. They both help to tell our story, and our reader shall, therefore, read them if he so please,--or, rather, he shall read the first and as much of the second as is necessary for him. Grace's answer to the first letter he shall see also. Her answer to the second will be told in a very few words. The first was from Major Grantly, and the task of answering that was by no means easy to Grace. \n\nCosby Lodge, -- February, 186--. \n\nDEAREST GRACE, \n\nI told you when I parted from you, that I should write to you, and I think it best to do so at once, in order that you may fully understand me. Spoken words are soon forgotten,-- \n\n\"I shall never forget his words,\" Grace said to herself as she read this;-- \n\nand are not always as plain as they might be. Dear Grace, I suppose I ought not to say so, but I fancied when I parted from you at Allington, that I had succeeded in making myself dear to you. I believe you to be so true in spirit, that you were unable to conceal from me the fact that you love me. I shall believe that this is so, till I am deliberately and solemnly assured by yourself that it is not so;--and I conjure you to think what is due both to yourself and to myself, before you allow yourself to think of making such an assurance unless it be strictly true. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4615\": \"What is the name of the chapter?\"\n },\n {\n \"4616\": \"What did Grace get?\"\n },\n {\n \"4617\": \"Did both make it to her before Eames left?\"\n },\n {\n \"4618\": \"Did Grace reply to both letters?\"\n },\n {\n \"4619\": \"Who sent the first letter?\"\n },\n {\n \"4620\": \"In what month?\"\n },\n {\n \"4621\": \"From where?\"\n },\n {\n \"4622\": \"How does he address Grace?\"\n },\n {\n \"4623\": \"True or False: Grace finds his words to be very memorable.\"\n },\n {\n \"4624\": \"Does Grantly think Grace loves him?\"\n },\n {\n \"4625\": \"Till when will he believe this?\"\n },\n {\n \"4626\": \"Does he warn her not to say it unless it is absolutely the truth?\"\n },\n {\n \"4627\": \"Where did Grantly and Grace part ways?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4615\",\n \"answer\": \"GRACE CRAWLEY RETURNS HOME.\"\n },\n {\n \"question_id\": \"4616\",\n \"answer\": \"two letters\"\n },\n {\n \"question_id\": \"4617\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4618\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4619\",\n \"answer\": \"Major Grantly\"\n },\n {\n \"question_id\": \"4620\",\n \"answer\": \"February\"\n },\n {\n \"question_id\": \"4621\",\n \"answer\": \"Cosby Lodge\"\n },\n {\n \"question_id\": \"4622\",\n \"answer\": \"DEAREST GRACE\"\n },\n {\n \"question_id\": \"4623\",\n \"answer\": \"True\"\n },\n {\n \"question_id\": \"4624\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4625\",\n \"answer\": \"til he is assured by her that it is not so\"\n },\n {\n \"question_id\": \"4626\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4627\",\n \"answer\": \"Allington\"\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 Eastern Europe is the eastern part of the European continent. There is no consensus on the precise area it covers, partly because the term has a wide range of geopolitical, geographical, cultural, and socioeconomic connotations. There are \"almost as many definitions of Eastern Europe as there are scholars of the region\". A related United Nations paper adds that \"every assessment of spatial identities is essentially a social and cultural construct\". \n\nOne definition describes Eastern Europe as a cultural entity: the region lying in Europe with the main characteristics consisting of Greek, Byzantine, Eastern Orthodox, Russian , and some Ottoman culture influences. Another definition was created during the Cold War and used more or less synonymously with the term \"Eastern Bloc\". A similar definition names the formerly communist European states outside the Soviet Union as Eastern Europe. Some historians and social scientists view such definitions as outdated or relegated, but they are still sometimes used for statistical purposes. \n\nSeveral other definitions of Eastern Europe exist today, but they often lack precision, are too general or outdated. These definitions vary both across cultures and among experts, even political scientists, as the term has a wide range of geopolitical, geographical, cultural, and socioeconomic connotations.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46748\": \"When was \\\"Eastern Bloc\\\" created as a anme?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46748\",\n \"answer\": \"during the Cold War\"\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 Count of Monte Cristo ( French: Le Comte de Monte Cristo ) is an adventure novel by French author Alexandre Dumas. Completed in 1844, it is one of the author's most popular works, along with The Three Musketeers. Like many of his novels, it is expanded from plot outlines suggested by his co-author Auguste Maquet. \n\nThe story takes place in France, Italy, islands in the Mediterranean, and in the Levant during the historical events of 1815-1838. It begins from just before the Hundred Days period, when Napoleon returned to power after his exile , and goes through to the time of Louis Philippe of France. The historical setting is a fundamental element of the book. It is an adventure story primarily concerned with themes of hope, justice, revenge , mercy and forgiveness, and is told in the style of an adventure story. It focuses on a man who is wrongfully imprisoned, escapes from prison, gains a fortune and sets about getting revenge on those responsible for his imprisonment. However, his plans have terrible consequences for the innocent as well as the guilty. \n\nDumas got the idea for The Count of Monte Cristo from a true story, which he found in a memoir written by a man named Jacques Peuchet. Peuchet related the story of a shoemaker named Pierre Picaud, who was living in Paris in 1807. Picaud was engaged to a rich woman, but four envious friends falsely accused him of being a spy for England. He was imprisoned for seven years. During his imprisonment a fellow prisoner told him a treasure hidden in Milan. When Picaud was released in 1814, he took possession of the treasure, returned under another name to Paris and spent ten years plotting his successful revenge. \n\nThe book is considered a literary classic today. According to Luc Sante, \" The Count of Monte Cristo has become a fixture of western civilization's literature, as inescapable and immediately identifiable as Mickey Mouse, Noah's flood, and the story of Little Red Riding Hood. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74240\": \"What book is this article about?\"\n },\n {\n \"74241\": \"Is this story completly made up or based on real life events?\"\n },\n {\n \"74242\": \"Where does the story take place?\"\n },\n {\n \"74243\": \"Who is Jacques Peachet?\"\n },\n {\n \"74244\": \"What does Luc Sante say about the story?\"\n },\n {\n \"74245\": \"What is Pierre Picaud's Job?\"\n },\n {\n \"74246\": \"How many years was he in jail?\"\n },\n {\n \"74247\": \"how many friends lied about him\"\n },\n {\n \"74248\": \"Where was the treasure hiding?\"\n },\n {\n \"74249\": \"When was he set free?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74240\",\n \"answer\": \"hope, justice, revenge , mercy and forgiveness\"\n },\n {\n \"question_id\": \"74241\",\n \"answer\": \"real life events\"\n },\n {\n \"question_id\": \"74242\",\n \"answer\": \"France, Italy, islands in the Mediterranean, and in the Levant\"\n },\n {\n \"question_id\": \"74243\",\n \"answer\": \"wrote memoir\"\n },\n {\n \"question_id\": \"74244\",\n \"answer\": \"it is a fixture of western civilization's literature\"\n },\n {\n \"question_id\": \"74245\",\n \"answer\": \"shoemaker\"\n },\n {\n \"question_id\": \"74246\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"74247\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"74248\",\n \"answer\": \"Milan\"\n },\n {\n \"question_id\": \"74249\",\n \"answer\": \"1814\"\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 Anna really likes school. She does well in school and gets good grades. Anna's favorite class time activities are reading, math, and writing. She also enjoys playing with her friends at recess. Anna has a lot of friends in her class. Anna's favorite books to read are mysteries. She has read several Nancy Drew books which are about a young woman who solves exciting mysteries. Anna also likes to read comic books. She tries not to read comic books in class because they often make her laugh out loud. Laughing very loud during quiet reading time could get her into trouble! When playing at recess, Anna likes to make up new games to play. She and her friend Lily enjoy playing games like tag, where you run around chasing after each other. Their games are different than tag because when you tag the other player you call out a math question they have to answer to become \"It\". Anna always tries to play active games; it makes recess much more fun for her. Sometimes, if the balls are out, she plays soccer with some of her friends. Soccer always makes her very tired. Anna really enjoys playing during recess as it helps her to be ready to work hard in class.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59895\": \"What are Nancy Drew books about?\"\n },\n {\n \"59896\": \"Who has read several of these?\"\n },\n {\n \"59897\": \"Does she enjoy them?\"\n },\n {\n \"59898\": \"Is reading one of her favorite things to do at school?\"\n },\n {\n \"59899\": \"How many favorites does she have?\"\n },\n {\n \"59900\": \"What else does she enjoy?\"\n },\n {\n \"59901\": \"What kind of grades does she get?\"\n },\n {\n \"59902\": \"How do you know?\"\n },\n {\n \"59903\": \"Has she ever laughed during class?\"\n },\n {\n \"59904\": \"Why?\"\n },\n {\n \"59905\": \"Is that a good thing?\"\n },\n {\n \"59906\": \"What does she like to do at playtime?\"\n },\n {\n \"59907\": \"Does she play by herself?\"\n },\n {\n \"59908\": \"Who else joins her?\"\n },\n {\n \"59909\": \"What makes her tired?\"\n },\n {\n \"59910\": \"Why does she enjoy recess so much?\"\n },\n {\n \"59911\": \"Why was her version of tag different?\"\n },\n {\n \"59912\": \"What happens next?\"\n },\n {\n \"59913\": \"What games does she try to play most?\"\n },\n {\n \"59914\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59895\",\n \"answer\": \"a young woman who solves exciting mysteries\"\n },\n {\n \"question_id\": \"59896\",\n \"answer\": \"Anna\"\n },\n {\n \"question_id\": \"59897\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59898\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59899\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"59900\",\n \"answer\": \"playing with her friends\"\n },\n {\n \"question_id\": \"59901\",\n \"answer\": \"good ones\"\n },\n {\n \"question_id\": \"59902\",\n \"answer\": \"because she does well in school\"\n },\n {\n \"question_id\": \"59903\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59904\",\n \"answer\": \"because she reads comic books in class\"\n },\n {\n \"question_id\": \"59905\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59906\",\n \"answer\": \"make up new games to play\"\n },\n {\n \"question_id\": \"59907\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59908\",\n \"answer\": \"her friend Lily\"\n },\n {\n \"question_id\": \"59909\",\n \"answer\": \"playing soccer\"\n },\n {\n \"question_id\": \"59910\",\n \"answer\": \"because it helps work hard in class\"\n },\n {\n \"question_id\": \"59911\",\n \"answer\": \"because when you tag the other player you call out a math question\"\n },\n {\n \"question_id\": \"59912\",\n \"answer\": \"they answer it to become \\\"It\\\"\"\n },\n {\n \"question_id\": \"59913\",\n \"answer\": \"active games\"\n },\n {\n \"question_id\": \"59914\",\n \"answer\": \"because it makes recess much more fun\"\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 chemistry, pH () (potential of hydrogen) is a numeric scale used to specify the acidity or basicity of an aqueous solution. It is approximately the negative of the base 10 logarithm of the molar concentration, measured in units of moles per liter, of hydrogen ions. More precisely it is the negative of the logarithm to base 10 of the activity of the hydrogen ion. Solutions with a pH less than 7 are acidic and solutions with a pH greater than 7 are basic. Pure water is neutral, at pH 7 (25°C), being neither an acid nor a base. Contrary to popular belief, the pH value can be less than 0 or greater than 14 for very strong acids and bases respectively. \n\npH measurements are important in agronomy, medicine, biology, chemistry, agriculture, forestry, food science, environmental science, oceanography, civil engineering, chemical engineering, nutrition, water treatment and water purification, as well as many other applications. \n\nThe pH scale is traceable to a set of standard solutions whose pH is established by international agreement. Primary pH standard values are determined using a concentration cell with transference, by measuring the potential difference between a hydrogen electrode and a standard electrode such as the silver chloride electrode. The pH of aqueous solutions can be measured with a glass electrode and a pH meter, or an indicator.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72333\": \"what does pH mean?\"\n },\n {\n \"72334\": \"what kind of scale?\"\n },\n {\n \"72335\": \"what does it specify?\"\n },\n {\n \"72336\": \"what is it the negative of?\"\n },\n {\n \"72337\": \"measured in what?\"\n },\n {\n \"72338\": \"what are pH less than 7?\"\n },\n {\n \"72339\": \"and more than 7?\"\n },\n {\n \"72340\": \"what is water?\"\n },\n {\n \"72341\": \"what degree?\"\n },\n {\n \"72342\": \"Is it a water or a base?\"\n },\n {\n \"72343\": \"Can pH be less than 10?\"\n },\n {\n \"72344\": \"less than 0?\"\n },\n {\n \"72345\": \"greater than 14?\"\n },\n {\n \"72346\": \"What is used to measure the pH of aqueous solutions?\"\n },\n {\n \"72347\": \"and what else?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72333\",\n \"answer\": \"potential of hydrogen\"\n },\n {\n \"question_id\": \"72334\",\n \"answer\": \"numeric\"\n },\n {\n \"question_id\": \"72335\",\n \"answer\": \"the acidity or basicity of an aqueous solution\"\n },\n {\n \"question_id\": \"72336\",\n \"answer\": \"the base 10 logarithm\"\n },\n {\n \"question_id\": \"72337\",\n \"answer\": \"moles per liter\"\n },\n {\n \"question_id\": \"72338\",\n \"answer\": \"acidic\"\n },\n {\n \"question_id\": \"72339\",\n \"answer\": \"basic\"\n },\n {\n \"question_id\": \"72340\",\n \"answer\": \"neutral, at pH 7\"\n },\n {\n \"question_id\": \"72341\",\n \"answer\": \"25\\u00b0C\"\n },\n {\n \"question_id\": \"72342\",\n \"answer\": \"neither\"\n },\n {\n \"question_id\": \"72343\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72344\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72345\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72346\",\n \"answer\": \"pH meter\"\n },\n {\n \"question_id\": \"72347\",\n \"answer\": \"a glass electrode\"\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 III. \n\nBUILDING THE MOLE. \n\nCaleb sat down upon the step of the door, eating a piece of bread, while Dwight and David returned to their work of building the mole. They got the wheelbarrow, and loaded it with stones. \n\nCaleb sat a few minutes more at the door, and then he went into the house, and got his little rocking chair, and brought it out under the elm, and sat down there, looking towards the boys, who were at work near the water. At last, David spied him sitting there, and said, \n\n\"There is Caleb, sitting under the great tree.\" \n\nDwight looked around, and then, throwing down the stone that he had in his hands, he said, \n\n\"I mean to go and get him to come here.\" \n\nSo he ran towards him, and said, \n\n\"Come, Caleb, come down here, and help us make our mole.\" \n\n\"No,\" said Caleb, shaking his head, and, turning away a little; \"I don't want to go.\" \n\n\"O, do come, Caleb,\" said Dwight; \"I won't trouble you any more.\" \n\n\"No,\" said Caleb: \"I am tired, and I had rather stay here in my little chair.\" \n\n\"But I will carry your chair down to the brook; and there is a beautiful place there to sit and see us tumble in the stones.\" \n\nSo Caleb got up, and Dwight took his chair, and they walked together down to the shore of the brook. Dwight found a little spot so smooth and level, that the rocking-chair would stand very even upon it, though it would not rock very well, for the ground was not hard, like a floor. Caleb rested his elbow upon the arm of his chair, and his pale cheek in his little slender hand, and watched the stones, as, one after another, they fell into the brook. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23458\": \"What was Caleb eating?\"\n },\n {\n \"23459\": \"where?\"\n },\n {\n \"23460\": \"Who else was there?\"\n },\n {\n \"23461\": \"what were they doing?\"\n },\n {\n \"23462\": \"what did they use?\"\n },\n {\n \"23463\": \"what did they put in it?\"\n },\n {\n \"23464\": \"Why did Caleb go inside?\"\n },\n {\n \"23465\": \"Did he sit in it?\"\n },\n {\n \"23466\": \"where?\"\n },\n {\n \"23467\": \"doing what?\"\n },\n {\n \"23468\": \"who was he watching?\"\n },\n {\n \"23469\": \"Did one of them see him?\"\n },\n {\n \"23470\": \"who?\"\n },\n {\n \"23471\": \"what did he do when he saw him?\"\n },\n {\n \"23472\": \"Did he want Caleb to help?\"\n },\n {\n \"23473\": \"Did Caleb want to?\"\n },\n {\n \"23474\": \"why?\"\n },\n {\n \"23475\": \"What did Dwight offer?\"\n },\n {\n \"23476\": \"where?\"\n },\n {\n \"23477\": \"Did Caleb agree?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23458\",\n \"answer\": \"a piece of bread,\"\n },\n {\n \"question_id\": \"23459\",\n \"answer\": \"the step of the door,\"\n },\n {\n \"question_id\": \"23460\",\n \"answer\": \"Dwight and David\"\n },\n {\n \"question_id\": \"23461\",\n \"answer\": \"building the mole\"\n },\n {\n \"question_id\": \"23462\",\n \"answer\": \"wheelbarrow\"\n },\n {\n \"question_id\": \"23463\",\n \"answer\": \"stones.\"\n },\n {\n \"question_id\": \"23464\",\n \"answer\": \"to get his little rocking chair\"\n },\n {\n \"question_id\": \"23465\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23466\",\n \"answer\": \"under the elm\"\n },\n {\n \"question_id\": \"23467\",\n \"answer\": \"watching the stones\"\n },\n {\n \"question_id\": \"23468\",\n \"answer\": \"Dwight and David\"\n },\n {\n \"question_id\": \"23469\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23470\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"23471\",\n \"answer\": \"ran towards him\"\n },\n {\n \"question_id\": \"23472\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23473\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23474\",\n \"answer\": \"he was tired\"\n },\n {\n \"question_id\": \"23475\",\n \"answer\": \"to carry his chair\"\n },\n {\n \"question_id\": \"23476\",\n \"answer\": \"to the brook\"\n },\n {\n \"question_id\": \"23477\",\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 Paul had just left college and was offered an interview for a position in a company in New York. As he needed to move from Texas to New York if he got the job, he wanted to talk about the decision with someone before accepting it. But his parents had died. He remembered that his father had suggested he should turn to an old friend of his family if he needed advice. The older man said, \"Go to New York and have the interview. But I want you to go on a train and I want you to get a private compartment . Don't take anything to write with, anything to listen to or anything to read, and don't talk to anybody except when you order the meal. Call me when you get to New York and I will tell you what to do next.\" At first, Paul followed the advice closely. The trip took two days. As he had brought along nothing to do, he quickly became bored. He realized he was being forced into quite time - he could do nothing but think. About three hours outside New York City he broke the rules, asked for a pencil and paper and kept writing down the thoughts until the train arrived in New York. Paul called the family friend from the train station. \"Thank you, Uncle I know what you wanted. You wanted me to think. And now I know what to do.\"\"I guessed you could understand my idea, Paul,\" came the reply, \"Good luck.\" Now, years later, Paul runs a company in New York. And he always spends a couple of days being alone with no phone, no television and no people to think quietly.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65726\": \"How long has Paul worked in New York?\"\n },\n {\n \"65727\": \"Where did he live before?\"\n },\n {\n \"65728\": \"What was he offered after college?\"\n },\n {\n \"65729\": \"Where was the job?\"\n },\n {\n \"65730\": \"Would he have to move there?\"\n },\n {\n \"65731\": \"Who did he talk to about it?\"\n },\n {\n \"65732\": \"Why not his parents/\"\n },\n {\n \"65733\": \"So did the friend think he should go?\"\n },\n {\n \"65734\": \"How did he tell him to get there?\"\n },\n {\n \"65735\": \"Where should he sit?\"\n },\n {\n \"65736\": \"What should he take?\"\n },\n {\n \"65737\": \"Nothing to read even?\"\n },\n {\n \"65738\": \"What about some music?\"\n },\n {\n \"65739\": \"How long was the trip?\"\n },\n {\n \"65740\": \"Did he talk to anyone?\"\n },\n {\n \"65741\": \"Was he bored?\"\n },\n {\n \"65742\": \"How much of the trip was left when he requested something?\"\n },\n {\n \"65743\": \"What was it?\"\n },\n {\n \"65744\": \"What did he tell the friend?\"\n },\n {\n \"65745\": \"What did the friend tell him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65726\",\n \"answer\": \"years\"\n },\n {\n \"question_id\": \"65727\",\n \"answer\": \"Texas\"\n },\n {\n \"question_id\": \"65728\",\n \"answer\": \"an interview\"\n },\n {\n \"question_id\": \"65729\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"65730\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65731\",\n \"answer\": \"an old friend of his family\"\n },\n {\n \"question_id\": \"65732\",\n \"answer\": \"his parents had died.\"\n },\n {\n \"question_id\": \"65733\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65734\",\n \"answer\": \"on a train\"\n },\n {\n \"question_id\": \"65735\",\n \"answer\": \"a private compartment .\"\n },\n {\n \"question_id\": \"65736\",\n \"answer\": \"nothing\"\n },\n {\n \"question_id\": \"65737\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65738\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65739\",\n \"answer\": \"two days.\"\n },\n {\n \"question_id\": \"65740\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65741\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65742\",\n \"answer\": \"three hours\"\n },\n {\n \"question_id\": \"65743\",\n \"answer\": \"a pencil and paper\"\n },\n {\n \"question_id\": \"65744\",\n \"answer\": \"Thank you\"\n },\n {\n \"question_id\": \"65745\",\n \"answer\": \"Good luck\"\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 Latin hip hop or Latin rap is hip hop music recorded by artists of Latin American and Iberian (Spain and Portugal) origin. \n\nIn the late 1980s and early 1990s, most Latin rap came from the West Coast of the United States. Cuban-American artist Mellow Man Ace was the first Latino artist to have a major bilingual single attached to his 1989 debut. Mellow Man, referred to as the \"Godfather of Latin rap\" and a Hip Hop Hall of Fame inductee, brought mainstream attention to Spanglish rhyming with his 1989 platinum single \"Mentirosa\". In 1990, fellow West Coast artist Kid Frost further brought Latinos to the rap forefront with his single \"La Raza.\" In 1991, Kid Frost, Mellow Man, A.L.T. and several other Latin rappers formed the rap super group Latin Alliance and released a self-titled album which featured the hit \"Lowrider (On the Boulevard)\". A.L.T. also scored a hit later that year with his remake of the song Tequila. Cypress Hill, of which Mellow Man Ace was a member before going solo, would become the first Latino rap group to reach platinum status in 1991. The group has since continued to release other gold and platinum albums. Ecuadorian born rapper Gerardo received heavy rotation on video and radio for his single \"Rico, Suave\". While commercially watered-down, his album enjoyed a status of being one of the first mainstream Spanglish CDs on the market. Johnny J was a multi-platinum songwriter, music producer, and rapper who was perhaps best known for his production on Tupac Shakur's albums All Eyez on Me and Me Against the World. He also produced the 1990 single Knockin' Boots for his classmate Candyman's album \"Ain't No Shame in My Game\", which eventually went platinum thanks to the single.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88244\": \"What is Latin hip hop or Latin rap?\"\n },\n {\n \"88245\": \"In the late 1980s and early 1990s where did most Latin rap come from?\"\n },\n {\n \"88246\": \"Who was the first Latino artist to have a major bilingual signle?\"\n },\n {\n \"88247\": \"in what year did the album it was on debut?\"\n },\n {\n \"88248\": \"What is the name of the Ecuadorian rapper who received heavy air play for his hit single Rico, Suave?\"\n },\n {\n \"88249\": \"What status did his album receive?\"\n },\n {\n \"88250\": \"Was Mellow Man Ace every inducted into the Hip Hop hall of fame?\"\n },\n {\n \"88251\": \"Who was the first Latino Rap group to reach platinum status?\"\n },\n {\n \"88252\": \"In what year was that?\"\n },\n {\n \"88253\": \"Who was Johnny Jay?\"\n },\n {\n \"88254\": \"What is he most likely best known for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88244\",\n \"answer\": \"hip hop music recorded by artists of Latin American and Iberian (Spain and Portugal) origin.\"\n },\n {\n \"question_id\": \"88245\",\n \"answer\": \"the West Coast of the United States.\"\n },\n {\n \"question_id\": \"88246\",\n \"answer\": \"Mellow Man Ace\"\n },\n {\n \"question_id\": \"88247\",\n \"answer\": \"1989\"\n },\n {\n \"question_id\": \"88248\",\n \"answer\": \"Gerardo\"\n },\n {\n \"question_id\": \"88249\",\n \"answer\": \"of being one of the first mainstream Spanglish CDs on the market\"\n },\n {\n \"question_id\": \"88250\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88251\",\n \"answer\": \"Cypress Hill\"\n },\n {\n \"question_id\": \"88252\",\n \"answer\": \"in 1991\"\n },\n {\n \"question_id\": \"88253\",\n \"answer\": \"He was a multi-platinum songwriter, music producer, and rapper\"\n },\n {\n \"question_id\": \"88254\",\n \"answer\": \"his production on Tupac Shakur's albums All Eyez on Me and Me Against the World\"\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 The campaign is over. The celebrations have ended. And the work for US president-elect Barack Obama has begun. \n\nThe 47-year-old politician rose to the highest post because of his stand against the war in Iraq and his plans to fix a weak economy. But what will the first 47-year-old African-American president do for race relations? \n\nObama's victory appears to have given blacks and other minorities a true national role model. For years, many looked to athletes and musicians for inspiration. As Darius Turner, an African-American high school student in Los Angeles, told the Los Angeles Times, \"Kobe doesn't have to be everybody's role model anymore.\" \n\nRecent polls also suggest that Obama's victory has given Americans new optimism about race relations. For example, a USA Today poll found that two-thirds of Americans believe relations between blacks and whites \"will finally be worked out\". This is the most hopeful response since the question was first asked during the civil rights revolution in 1963. \n\n\n\nHowever, it's still too early to tell whether Obama's presidency will begin to solve many of the social problems facing low-income black communities. \n\nAlthough blacks make up only 13 percent of the US population, 55 percent of all prisoners are African-American. Such numbers can be blamed on any number of factors on America's racist past, a failure of government policy and the collapse of the family unit in black communities. \n\nIt is unlikely that Obama will be able to reverse such trends overnight. However, Bill Bank, an expert of African-American Studies, says that eventually young blacks need to find role models in their own communities. \"That's not Martin Luther King, and not Barack Obama,\" he told the Los Angeles Times. \"It's actually the people closest to them. Barack only has so much influence.\" \n\nIn the opinion of black British politician Trevor Phillips, Obama's rise will contribute more to multiculturalism than to race relations in the US. \n\n\"When the G8 meets, the four most important people in the room will be the president of China, the prime minister of India, the prime minister of Japan and Barak Obama,\" he told London's The Times newspaper. \"It will be the first time we've seen that on our television screens. That will be a huge psychological shift for both the white people and the color1ed ones in the world.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8435\": \"Who won the election?\"\n },\n {\n \"8436\": \"Who might look up to him?\"\n },\n {\n \"8437\": \"Who did they look at before?\"\n },\n {\n \"8438\": \"Who else?\"\n },\n {\n \"8439\": \"Who inspired them?\"\n },\n {\n \"8440\": \"What was hoped would be resolved?\"\n },\n {\n \"8441\": \"Will the president create miracles?\"\n },\n {\n \"8442\": \"What will his rise mean?\"\n },\n {\n \"8443\": \"Who would be at the meeting?\"\n },\n {\n \"8444\": \"Where would it be shown?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"8435\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"8436\",\n \"answer\": \"blacks and other minorities\"\n },\n {\n \"question_id\": \"8437\",\n \"answer\": \"Martin Luther King\"\n },\n {\n \"question_id\": \"8438\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"8439\",\n \"answer\": \"the people closest to them\"\n },\n {\n \"question_id\": \"8440\",\n \"answer\": \"relations between blacks and whites \\\"will finally be worked out\\\"\"\n },\n {\n \"question_id\": \"8441\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"8442\",\n \"answer\": \"contribute more to multiculturalism than to race relations\"\n },\n {\n \"question_id\": \"8443\",\n \"answer\": \"the president of China, the prime minister of India, the prime minister of Japan and Barak Obama\"\n },\n {\n \"question_id\": \"8444\",\n \"answer\": \"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 Steven Spielberg's new movie Lincolnpaints a vivid and breath-taking picture of the 16th U.S. president and his determination to end slavery. Spielberg based his film on parts ofTeam of Rivals, a book by Doris Kearns Goodwin. He makes Abraham Lincoln relevant today by presenting a cunning political mind trying to overcome Washington's all too familiar political divisions. \n\nIn previous movies, Lincoln was shown as a simple yet almost perfect man. But Spielberg's Lincolnis different. \"I was determined to make a movie about a working president dealing with real problems. Not some angel,\" Spielberg said. \n\nWe watch the president first ending slavery and then the war. \n\nThe film's adviser, historian Eric Martin, explains how Lincoln's thinking evolved. \n\n\"His main objective when the war began was not the freeing of the slaves but to keep the country united. Lincoln realizes that in order to keep the country together, the question of slavery will have to be addressed,\" Martin said. \n\nThe film focuses on the last four months of his presidency. \n\nIn the movie, the arguments among political enemies seem very similar to the problems we see in Washington today. The disagreements were bitter. \n\nThe film turns to Lincoln's relationships with his wife and kids, his beliefs and constant self-examination. Daniel Day-Lewis, the actor who plays Lincoln, offers an Oscar-worthy performance as the 16th President. Not only is his physical similarity to the president incredible, he is able to capture many of Lincoln's mannerisms and his high-pitched, almost lady-like voice. \n\n\"I found it very easy to play the role of Lincoln because the real man himself was so open. When I was researching his history to prepare for the part, one of the most surprising things I found was just how accessible he was. Even in war-time, when he was in great danger, he was always willing to meet with others and share his ideas,\" Day-Lewis said. \n\nSpielberg's Lincolnwill head to the Oscars. But more important it will make history.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6105\": \"What is the name of the movie in the story\"\n },\n {\n \"6106\": \"whose movie is it?\"\n },\n {\n \"6107\": \"Which months of his presidency does the film focus on?\"\n },\n {\n \"6108\": \"Which months of his presidency?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6105\",\n \"answer\": \"Lincolnpaints\"\n },\n {\n \"question_id\": \"6106\",\n \"answer\": \"Steven Spielberg's\"\n },\n {\n \"question_id\": \"6107\",\n \"answer\": \"Abraham Lincoln\"\n },\n {\n \"question_id\": \"6108\",\n \"answer\": \"last four months\"\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) -- The mosque in Roxbury was crowded past capacity, with about 1,200 college students, urban hipsters and East Africans lining the hallways and front stairs. \n\nThey wanted to hear Imam Suhaib Webb, resident scholar of the Islamic Society of Boston Cultural Center and widely considered one of the country's most influential Muslims, respond to Sam Harris and Bill Maher, who recently called Islam the \"mother lode of bad ideas\" and compared Muslims to the Mafia. \n\nThe lanky, blue-eyed imam, a convert originally from Oklahoma, is known for tackling taboo topics and spicing his sermons with pop culture references. \n\nBefore Friday's sermon, the last time the Roxbury mosque had been this crowded, Webb said, was when he preached about the finale of \"Breaking Bad.\" \n\n(On the Sunday after his sermon, Webb, who has extensive training in classical Islamic learning, answered religious questions on Twitter about \"The Walking Dead.\") \n\nInstead of attacking Maher and Harris, though, Webb challenged his fellow Muslims. \n\n\"It's code red,\" he preached last Friday, pounding the minbar for emphasis. \"People do not like us, and we need to get with it!\" \n\n\"One day we're attacked by Fox News, the next day we're attacked by Muslims who actually pay to have Facebook ads about us,\" Webb said. \n\n\"I mean, that's the level of attacks that we're dealing with as a community and as a people. One brother told me, like what's going to happen next? It's like a soap opera.\" \n\nWebb himself has been subject to some of those attacks, as conservative media outlets have sought to tie him to Alton Nolen, an Oklahoma man accused of beheading a co-worker, and the Tsarnaev brothers, suspects in the Boston Marathon bombing. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32718\": \"Who is considered one of the country's most influential Muslims?\"\n },\n {\n \"32719\": \"Where was he speaking?\"\n },\n {\n \"32720\": \"Who denigrated Islam?\"\n },\n {\n \"32721\": \"How many people were present for his speech?\"\n },\n {\n \"32722\": \"Where does Webb work?\"\n },\n {\n \"32723\": \"Who were Muslims likened to?\"\n },\n {\n \"32724\": \"What television shows has the Imam referenced?\"\n },\n {\n \"32725\": \"what else?\"\n },\n {\n \"32726\": \"What color are his eyes?\"\n },\n {\n \"32727\": \"According to Webb, how do people feel about Muslims?\"\n },\n {\n \"32728\": \"Where is he from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32718\",\n \"answer\": \"Imam Suhaib Webb\"\n },\n {\n \"question_id\": \"32719\",\n \"answer\": \"mosque in Roxbury\"\n },\n {\n \"question_id\": \"32720\",\n \"answer\": \"Sam Harris and Bill Maher\"\n },\n {\n \"question_id\": \"32721\",\n \"answer\": \"1,200\"\n },\n {\n \"question_id\": \"32722\",\n \"answer\": \"Islamic Society of Boston Cultural Center\"\n },\n {\n \"question_id\": \"32723\",\n \"answer\": \"Mafia\"\n },\n {\n \"question_id\": \"32724\",\n \"answer\": \"\\\"Breaking Bad.\\\"\"\n },\n {\n \"question_id\": \"32725\",\n \"answer\": \"The Walking Dead.\\\")\"\n },\n {\n \"question_id\": \"32726\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"32727\",\n \"answer\": \"People do not like us\"\n },\n {\n \"question_id\": \"32728\",\n \"answer\": \"Oklahoma\"\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 XL JOY WELL-NIGH INCREDIBLE \n\nThe midday letters were a riddle to the ladies at Malvern. \n\n'Out all day,' said Mary, 'that is well. He will get strong out boating.' \n\n'I hope Herbert has come home to take him out,' said Constance. \n\n'Or he may be yachting. I wonder he does not say who is taking him out. I am glad that he can feel that sense of enjoyment.' \n\nYet that rejoicing seemed to be almost an effort to the poor mother who craved for a longer letter, and perhaps almost felt as if her Frank were getting out of sympathy with her grief--and what could be the good news? \n\n'Herbert must have passed!' said Constance. \n\n'I hope he has, but the expression is rather strong for that,' said Lady Adela. \n\n'Perhaps Ida is engaged to that Mr. Deyncourt? Was that his name?' said Lady Northmoor languidly. \n\n'Oh! that would be delicious,' cried Constance, 'and Ida has grown much more thoughtful lately, so perhaps she would do for a clergyman's wife.' \n\n'Is Ida better?' asked her aunt, who had been much drawn towards the girl by hearing that her health had suffered from grief for Michael. \n\n'Mamma does not mention her in her last letter, but poor Ida is really much more delicate than one would think, though she looks so strong. This would be delightful!' \n\n'Yet, joy well-nigh incredible!' said her aunt, meditatively. 'Were not those the words? It would not be like your uncle to put them in that way unless it were something--even more wonderful, and besides, why should he not write it to me?' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3910\": \"Who died?\"\n },\n {\n \"3911\": \"According to whome?\"\n },\n {\n \"3912\": \"Who was pleased to hear about it?\"\n },\n {\n \"3913\": \"Who didn't say anything in their last post?\"\n },\n {\n \"3914\": \"Is Ida healthy?\"\n },\n {\n \"3915\": \"Which posts were an enigma?\"\n },\n {\n \"3916\": \"To whom?\"\n },\n {\n \"3917\": \"Who was concerned about Ida?\"\n },\n {\n \"3918\": \"Had somebody caused her to suffer?\"\n },\n {\n \"3919\": \"Who?\"\n },\n {\n \"3920\": \"What was she suffering from?\"\n },\n {\n \"3921\": \"Who could be boating?\"\n },\n {\n \"3922\": \"What type?\"\n },\n {\n \"3923\": \"Does that give him pleasure?\"\n },\n {\n \"3924\": \"Who got a short post?\"\n },\n {\n \"3925\": \"And who was causing her to worry?\"\n },\n {\n \"3926\": \"Is Ida in a relationship?\"\n },\n {\n \"3927\": \"With whom?\"\n },\n {\n \"3928\": \"What is her fiance's occupation?\"\n },\n {\n \"3929\": \"Who is excited for Ida?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3910\",\n \"answer\": \"Herbert\"\n },\n {\n \"question_id\": \"3911\",\n \"answer\": \"Constance\"\n },\n {\n \"question_id\": \"3912\",\n \"answer\": \"Lady Adela\"\n },\n {\n \"question_id\": \"3913\",\n \"answer\": \"Mamma\"\n },\n {\n \"question_id\": \"3914\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3915\",\n \"answer\": \"midday letters\"\n },\n {\n \"question_id\": \"3916\",\n \"answer\": \"ladies at Malvern\"\n },\n {\n \"question_id\": \"3917\",\n \"answer\": \"her aunt\"\n },\n {\n \"question_id\": \"3918\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3919\",\n \"answer\": \"Michael\"\n },\n {\n \"question_id\": \"3920\",\n \"answer\": \"grief\"\n },\n {\n \"question_id\": \"3921\",\n \"answer\": \"Herbert\"\n },\n {\n \"question_id\": \"3922\",\n \"answer\": \"yacht\"\n },\n {\n \"question_id\": \"3923\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3924\",\n \"answer\": \"the poor mother\"\n },\n {\n \"question_id\": \"3925\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"3926\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3927\",\n \"answer\": \"Mr. Deyncourt\"\n },\n {\n \"question_id\": \"3928\",\n \"answer\": \"clergyman\"\n },\n {\n \"question_id\": \"3929\",\n \"answer\": \"Constance\"\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 Ottoman Empire (/ˈɒtəmən/; Ottoman Turkish: دَوْلَتِ عَلِيّهٔ عُثمَانِیّه‎ Devlet-i Aliyye-i Osmâniyye, Modern Turkish: Osmanlı İmparatorluğu or Osmanlı Devleti), also known as the Turkish Empire, Ottoman Turkey or Turkey, was an empire founded in 1299 by Oghuz Turks under Osman I in northwestern Anatolia. After conquests in the Balkans by Murad I between 1362 and 1389, the Ottoman sultanate was transformed into a transcontinental empire and claimant to the caliphate. The Ottomans ended the Byzantine Empire with the 1453 conquest of Constantinople by Mehmed the Conqueror. \n\nDuring the 16th and 17th centuries, in particular at the height of its power under the reign of Suleiman the Magnificent, the Ottoman Empire was a multinational, multilingual empire controlling much of Southeast Europe, Western Asia, the Caucasus, North Africa, and the Horn of Africa. At the beginning of the 17th century the empire contained 32 provinces and numerous vassal states. Some of these were later absorbed into the Ottoman Empire, while others were granted various types of autonomy during the course of centuries.[dn 4]\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59222\": \"What kind of empire was Ottoman during the 16th and 17th centuries?\"\n },\n {\n \"59223\": \"Did it control anything?\"\n },\n {\n \"59224\": \"What?\"\n },\n {\n \"59225\": \"Anything else?\"\n },\n {\n \"59226\": \"When was it founded?\"\n },\n {\n \"59227\": \"Is it known as something else?\"\n },\n {\n \"59228\": \"When did they end the Byzantine Empire?\"\n },\n {\n \"59229\": \"How?\"\n },\n {\n \"59230\": \"By whom?\"\n },\n {\n \"59231\": \"How many providences did it have in the 17th century?\"\n },\n {\n \"59232\": \"What happened in 1362 and 1389?\"\n },\n {\n \"59233\": \"Who was it founded by?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59222\",\n \"answer\": \"A multinational, multilingual empire.\"\n },\n {\n \"question_id\": \"59223\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59224\",\n \"answer\": \"Much of Southeast Europe, for one.\"\n },\n {\n \"question_id\": \"59225\",\n \"answer\": \"Western Asia,\"\n },\n {\n \"question_id\": \"59226\",\n \"answer\": \"1299.\"\n },\n {\n \"question_id\": \"59227\",\n \"answer\": \"The Ottoman Empire (/\\u02c8\\u0252t\\u0259m\\u0259n/; Ottoman Turkish: \\u062f\\u064e\\u0648\\u0652\\u0644\\u064e\\u062a\\u0650 \\u0639\\u064e\\u0644\\u0650\\u064a\\u0651\\u0647\\u0654 \\u0639\\u064f\\u062b\\u0645\\u064e\\u0627\\u0646\\u0650\\u06cc\\u0651\\u0647\\u200e Devlet-i Aliyye-i Osm\\u00e2niyye, Modern Turkish: Osmanl\\u0131 \\u0130mparatorlu\\u011fu or Osmanl\\u0131 Devleti), also known as the Turkish Empire,\"\n },\n {\n \"question_id\": \"59228\",\n \"answer\": \"1453\"\n },\n {\n \"question_id\": \"59229\",\n \"answer\": \"With the conquest of Constantinople.\"\n },\n {\n \"question_id\": \"59230\",\n \"answer\": \"Mehmed the Conqueror.\"\n },\n {\n \"question_id\": \"59231\",\n \"answer\": \"32.\"\n },\n {\n \"question_id\": \"59232\",\n \"answer\": \"conquests in the Balkans\"\n },\n {\n \"question_id\": \"59233\",\n \"answer\": \"Murad.\"\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 A cowboy named Steve wanted to take a vacation from his farm that was named Raindrop. He could not make up his mind where to go, so he saddled his horse and rode east. The sun was setting in the west and it was orange. A cold wind was blowing from north to south. Steve rode through a forest of pear trees next to his farm. \n\nThe first place he came to was a small town full of quiet people and its name was Silence. No one would talk to Steve. He kept riding. The town was next to a forest of maple trees. \n\nThe second town he came to was very cold and its name was Ice. Steve was afraid his horse would freeze if he stayed there. Everyone in the town was wearing large coats and mittens. The second town was next to a forest of pine trees. \n\nThe third town he came to was warm and it was named Sunny. There were palm trees on the beach. Steve and his horse went to the beach and played in the ocean. Steve took off his boots. Steve's hat got wet in the water. He had to leave it on the beach to dry. Eventually Steve and his horse got hot. They rode east again. \n\nEventually Steve arrived back at his farm. This confused him because he thought he had been riding in a different direction. Steve learned that there really was no place like home. He put his horse in the barn and went back into his house.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11163\": \"What was Steve's job?\"\n },\n {\n \"11164\": \"Where did he work?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11163\",\n \"answer\": \"cowboy\"\n },\n {\n \"question_id\": \"11164\",\n \"answer\": \"his farm\"\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 Parents have widely different views on the problem of pocket money. Four new fathers were asked this question and this is how they answered. \n\nAshish Khanna: Although many argue that pocket money helps develop children's sense of value, I don't agree. I wouldn't give my child any pocket money. First of all, I never got pocket money and I seem to have a good value for money. If my child ever needed something and I felt it was a reasonable request, I would buy it for him. \n\nSharad Sanghi: No, I wouldn't give my child pocket money because I don't want to create the perception of \"her\" money and \"my\" money. Besides, if I refuse to buy her something that I think is bad for her, she may buy it with her pocket money _ In this way, I would lose control over my child's requests. I feel it also encourages children to care more about money than anything else. I don't want my child to start judging other children by the amount of money or pocket money they have. \n\nRakesh Shah: Yes, I would give my child pocket money because I feel that children should learn to spend money properly. I will give him a fixed amount every month and if he spends the money before the month is over, he will learn a lesson and not spend money so freely. He will learn what his limitations are and feel the difficulty when he has to pay for something that is over his own pocket. \n\nRajiv Patel: Yes, I would give my child pocket money because it is important that he learns to manage money. But I would not give it to him on a weekly or monthly basis. He would have to earn it. If he helped me finish some of my jobs or helped his mother with housework, I would reward him. This helps him realize that \"money does not grow on trees\" and it requires hard work to earn money.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49447\": \"Who has different views on pocket money?\"\n },\n {\n \"49448\": \"How many fathers were asked about it?\"\n },\n {\n \"49449\": \"Name one?\"\n },\n {\n \"49450\": \"Another?\"\n },\n {\n \"49451\": \"Another?\"\n },\n {\n \"49452\": \"Last one?\"\n },\n {\n \"49453\": \"Does Ashish think pocket money is a good idea?\"\n },\n {\n \"49454\": \"What do many say that it helps develop?\"\n },\n {\n \"49455\": \"Would he give his kid pocket money?\"\n },\n {\n \"49456\": \"What about Sharad?\"\n },\n {\n \"49457\": \"Why?\"\n },\n {\n \"49458\": \"What does he also feel?\"\n },\n {\n \"49459\": \"What does he not want his child to do?\"\n },\n {\n \"49460\": \"What does Rajiv think?\"\n },\n {\n \"49461\": \"Why?\"\n },\n {\n \"49462\": \"Would he give it to him on a scheduled basis?\"\n },\n {\n \"49463\": \"When would he give it to him?\"\n },\n {\n \"49464\": \"What does Rakesh think?\"\n },\n {\n \"49465\": \"Why?\"\n },\n {\n \"49466\": \"Would he give it to him on a scheduled basis?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49447\",\n \"answer\": \"Parents\"\n },\n {\n \"question_id\": \"49448\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"49449\",\n \"answer\": \"Ashish Khanna\"\n },\n {\n \"question_id\": \"49450\",\n \"answer\": \"Rakesh Shah\"\n },\n {\n \"question_id\": \"49451\",\n \"answer\": \"Sharad Sanghi\"\n },\n {\n \"question_id\": \"49452\",\n \"answer\": \"Rajiv Patel\"\n },\n {\n \"question_id\": \"49453\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49454\",\n \"answer\": \"Children's sense of value\"\n },\n {\n \"question_id\": \"49455\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49456\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49457\",\n \"answer\": \"Because he doesn't want to create the perception of \\\"her\\\" money and \\\"my\\\" money.\"\n },\n {\n \"question_id\": \"49458\",\n \"answer\": \"It encourages children to care more about money than anything else.\"\n },\n {\n \"question_id\": \"49459\",\n \"answer\": \"To start judging other children by the amount of money or pocket money they have.\"\n },\n {\n \"question_id\": \"49460\",\n \"answer\": \"He would give his child pocket money\"\n },\n {\n \"question_id\": \"49461\",\n \"answer\": \"Because it is important that he learns to manage money.\"\n },\n {\n \"question_id\": \"49462\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49463\",\n \"answer\": \"He would have to earn it.\"\n },\n {\n \"question_id\": \"49464\",\n \"answer\": \"He would give his child pocket money\"\n },\n {\n \"question_id\": \"49465\",\n \"answer\": \"He feels that children should learn to spend money properly.\"\n },\n {\n \"question_id\": \"49466\",\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 Jen put on her favorite dress. She liked it because it had cats on it. She was very excited about her birthday cake. Maybe the cake would have a turtle on it. Jen was going to have turkey. She had no gravy, so she had chicken for dinner instead. After eating the chicken, she remembered she was late for the dance! She ran up the stairs. She put on a coat and ran out the door. She walked past some ice cream. She did not have time to stop and eat any of the ice cream. She walked past some sprinkles. She did not have time to eat the sprinkles. Jen walked past the yogurt. She did not have time to get the yogurt. Jen got to where she had to go. Soon after, she turned around and started the long walk back home. She got home at last. She saw her huge cake. It had chocolate on it. Jen was very happy. She was ready to enjoy the cake.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93520\": \"Who put on her favorite dress?\"\n },\n {\n \"93521\": \"Why did she like it?\"\n },\n {\n \"93522\": \"Was she excited?\"\n },\n {\n \"93523\": \"About what?\"\n },\n {\n \"93524\": \"What might be on it?\"\n },\n {\n \"93525\": \"What was she going to have?\"\n },\n {\n \"93526\": \"Why didn't she have it?\"\n },\n {\n \"93527\": \"So what did she have instead?\"\n },\n {\n \"93528\": \"What was she late for?\"\n },\n {\n \"93529\": \"Where did she run?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93520\",\n \"answer\": \"Jen.\"\n },\n {\n \"question_id\": \"93521\",\n \"answer\": \"Because it had cats on it.\"\n },\n {\n \"question_id\": \"93522\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"93523\",\n \"answer\": \"Her birthday cake.\"\n },\n {\n \"question_id\": \"93524\",\n \"answer\": \"A turtle.\"\n },\n {\n \"question_id\": \"93525\",\n \"answer\": \"Turkey\"\n },\n {\n \"question_id\": \"93526\",\n \"answer\": \"Because she had no gravy\"\n },\n {\n \"question_id\": \"93527\",\n \"answer\": \"Chicken.\"\n },\n {\n \"question_id\": \"93528\",\n \"answer\": \"The dance!\"\n },\n {\n \"question_id\": \"93529\",\n \"answer\": \"Up the stairs.\"\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 XXIV. \n\nALONG THE RIVER. \n\nMatt could do nothing but stare at the freight agent. A man had come there and driven off with the horse and wagon and taken the cases of goods with him. It seemed too bold-faced to be true. \n\n\"Our man?\" he stammered. \"We have no man.\" \n\n\"Didn't you send the man here?\" demanded the agent, as he stopped short in his work of checking off packages. \n\n\"We certainly did not,\" returned the young auctioneer. \"Andy!\" he called out, as he stepped back toward the open door, and a moment later Andy Dilks hurried into the depot. \n\n\"He says a man came here, got the cases of goods, and drove off with Billy,\" cried Matt breathlessly. \"You did not send any one here, did you?\" \n\n\"Certainly not,\" returned Andy promptly. \"When was this?\" \n\n\"Less than two hours ago,\" replied the freight agent, and he was now all attention. \"Do you mean to say the fellow was a thief?\" \n\n\"He was!\" cried Matt. \n\n\"I don't see how he could be anything else,\" added Andy. \"Did he pretend to have an order for the cases?\" \n\n\"Yes, he had a written order.\" \n\n\"And the bill of lading?\" \n\n\"N--no, he didn't have that,\" was the slow reply. \"But I thought it was all right. He looked like an honest chap. You had better notify the police at once.\" \n\n\"We will,\" said Matt. \"What sort of a looking fellow was he?\" \n\nAs best he could the freight agent gave a description of the man who had driven off with the goods and the turn-out. Matt and Andy both listened attentively. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65985\": \"Was there a bill of lading?\"\n },\n {\n \"65986\": \"Did he appear to be dishonest?\"\n },\n {\n \"65987\": \"Who needed to be called?\"\n },\n {\n \"65988\": \"Who questioned the agent?\"\n },\n {\n \"65989\": \"And who else?\"\n },\n {\n \"65990\": \"What was his last name?\"\n },\n {\n \"65991\": \"When did he take off?\"\n },\n {\n \"65992\": \"What did he steal?\"\n },\n {\n \"65993\": \"Who did he drive off with?\"\n },\n {\n \"65994\": \"What is Billy?\"\n },\n {\n \"65995\": \"And it was hitched to?\"\n },\n {\n \"65996\": \"What was\"\n },\n {\n \"65997\": \"What was Matt's occupation?\"\n },\n {\n \"65998\": \"Who worked with him?\"\n },\n {\n \"65999\": \"Was the thief emboldened?\"\n },\n {\n \"66000\": \"Was there an order?\"\n },\n {\n \"66001\": \"Was it in writing?\"\n },\n {\n \"66002\": \"Was the bandit a woman?\"\n },\n {\n \"66003\": \"How old was Matt?\"\n },\n {\n \"66004\": \"Who was stared at?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65985\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65986\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65987\",\n \"answer\": \"the police\"\n },\n {\n \"question_id\": \"65988\",\n \"answer\": \"Matt\"\n },\n {\n \"question_id\": \"65989\",\n \"answer\": \"Andy\"\n },\n {\n \"question_id\": \"65990\",\n \"answer\": \"Dilks\"\n },\n {\n \"question_id\": \"65991\",\n \"answer\": \"Less than two hours ago\"\n },\n {\n \"question_id\": \"65992\",\n \"answer\": \"the cases of goods\"\n },\n {\n \"question_id\": \"65993\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"65994\",\n \"answer\": \"the horse\"\n },\n {\n \"question_id\": \"65995\",\n \"answer\": \"a wagon\"\n },\n {\n \"question_id\": \"65996\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"65997\",\n \"answer\": \"auctioneer.\"\n },\n {\n \"question_id\": \"65998\",\n \"answer\": \"Andy\"\n },\n {\n \"question_id\": \"65999\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66000\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66001\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66002\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66003\",\n \"answer\": \"he was young\"\n },\n {\n \"question_id\": \"66004\",\n \"answer\": \"the freight agent\"\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 Can a boss fire an employee he finds attractive because he and his wife, fairly or not, see her as a threat to their marriage? \n\nYes, the Iowa Supreme Court ruled Friday. \n\n\"The question we must answer is ... whether an employee who has not engaged in flirtatious conduct may be lawfully terminated simply because the boss views the employee as an irresistible attraction,\" Justice Edward M. Mansfield wrote for the all-male high court. \n\nSuch firings may not be fair, but they do not constitute unlawful discrimination under the Iowa Civil Rights Act, the decision read, siding with a lower court. \n\nAn attorney for Melissa Nelson, the fired employee, said the decision was wrong. \n\n\"We are appalled by the court's ruling and its failure to understand the nature of gender bias,\" said Paige Fiedler, the attorney. \"For the seven men on the Iowa Supreme Court not to 'get it' is shocking and disheartening. It underscores the need for judges on the bench to be diverse in terms of their gender, race and life experiences.\" \n\nRead the court's decision (PDF) \n\nThe case concerns her client's employment as a dental assistant. Nelson worked for James Knight in 1999 and stayed for more than 10 years at the Fort Dodge business. \n\nToward the end of her employment, Knight complained to Nelson her clothing was tight and \"distracting,\" the decision read. She denied her clothes were inappropriate. \n\nAt one point, Knight told Nelson that \"if she saw his pants bulging, she would know her clothing was too revealing,\" the decision read. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68421\": \"When was the ruling?\"\n },\n {\n \"68422\": \"In what state?\"\n },\n {\n \"68423\": \"Which court?\"\n },\n {\n \"68424\": \"Can a worker get fired because they are too pretty?\"\n },\n {\n \"68425\": \"Who was let go?\"\n },\n {\n \"68426\": \"Who was her lawyer?\"\n },\n {\n \"68427\": \"Did she agree?\"\n },\n {\n \"68428\": \"What was her emotion?\"\n },\n {\n \"68429\": \"How long had Melissa worked there?\"\n },\n {\n \"68430\": \"Who let her go?\"\n },\n {\n \"68431\": \"What was his occupation?\"\n },\n {\n \"68432\": \"What was her job?\"\n },\n {\n \"68433\": \"When did she start working there?\"\n },\n {\n \"68434\": \"Were there any women on the bench?\"\n },\n {\n \"68435\": \"Did the court say it was fair?\"\n },\n {\n \"68436\": \"What did they say?\"\n },\n {\n \"68437\": \"Who wrote the opinion\"\n },\n {\n \"68438\": \"Why was she let go according to him?\"\n },\n {\n \"68439\": \"What was Knight's complaint?\"\n },\n {\n \"68440\": \"What city did they work in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68421\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"68422\",\n \"answer\": \"Iowa\"\n },\n {\n \"question_id\": \"68423\",\n \"answer\": \"Supreme\"\n },\n {\n \"question_id\": \"68424\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"68425\",\n \"answer\": \"Melissa Nelson\"\n },\n {\n \"question_id\": \"68426\",\n \"answer\": \"Paige Fiedler\"\n },\n {\n \"question_id\": \"68427\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68428\",\n \"answer\": \"appalled\"\n },\n {\n \"question_id\": \"68429\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"68430\",\n \"answer\": \"James Knight\"\n },\n {\n \"question_id\": \"68431\",\n \"answer\": \"Dentist\"\n },\n {\n \"question_id\": \"68432\",\n \"answer\": \"dental assistant\"\n },\n {\n \"question_id\": \"68433\",\n \"answer\": \"1999\"\n },\n {\n \"question_id\": \"68434\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68435\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68436\",\n \"answer\": \"it was lawful\"\n },\n {\n \"question_id\": \"68437\",\n \"answer\": \"Edward M. Mansfield\"\n },\n {\n \"question_id\": \"68438\",\n \"answer\": \"an irresistible attraction\"\n },\n {\n \"question_id\": \"68439\",\n \"answer\": \"her clothing was tight and \\\"distracting\"\n },\n {\n \"question_id\": \"68440\",\n \"answer\": \"Fort Dodge\"\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 friend Tom is a schoolboy. Everyone likes him very much because he is kind. He likes to help people. He is a smart boy and he can play many musical instruments . After school, when he is with his friends, he often plays musical instruments for them. On weekends, he is free and he always goes to the old people's home. He plays the violin and the guitar to make them happy. He thinks it's interesting and fun. Today is February 28th. It's Tom's birthday. He has a big and interesting party at home. Many friends come to his party. Tom's mother cooks a lot of food for them. Everyone gives a beautiful gift to him. Sally gives him an English dictionary because Tom also likes English. Bob gives Tom a guitar because he likes playing the guitar very much. At the party, Tom plays the guitar and he also plays the piano. We sing many songs and play some interesting games. We have a good time today.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87939\": \"Is it someone's birthday?\"\n },\n {\n \"87940\": \"Who?\"\n },\n {\n \"87941\": \"Is he a student?\"\n },\n {\n \"87942\": \"Do other kids like him?\"\n },\n {\n \"87943\": \"Why?\"\n },\n {\n \"87944\": \"Any other reasons?\"\n },\n {\n \"87945\": \"What does he do on weekends?\"\n },\n {\n \"87946\": \"What does he do there?\"\n },\n {\n \"87947\": \"Does he like to do it?\"\n },\n {\n \"87948\": \"Did Tom have a birthday celebration?\"\n },\n {\n \"87949\": \"Where?\"\n },\n {\n \"87950\": \"Did they have a lot to eat?\"\n },\n {\n \"87951\": \"Did he receive any gifts?\"\n },\n {\n \"87952\": \"Did they do any other activities?\"\n },\n {\n \"87953\": \"What did Sally give Tom?\"\n },\n {\n \"87954\": \"What about Bob?\"\n },\n {\n \"87955\": \"Did guests enjoy the get together?\"\n },\n {\n \"87956\": \"Is Tom smart?\"\n },\n {\n \"87957\": \"Who likes English?\"\n },\n {\n \"87958\": \"Were the presents at the event ugly?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87939\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"87940\",\n \"answer\": \"Tom.\"\n },\n {\n \"question_id\": \"87941\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"87942\",\n \"answer\": \"Yes they did.\"\n },\n {\n \"question_id\": \"87943\",\n \"answer\": \"Because he was kind.\"\n },\n {\n \"question_id\": \"87944\",\n \"answer\": \"He is helpful and plays many instruments.\"\n },\n {\n \"question_id\": \"87945\",\n \"answer\": \"He always goes to the old people's home.\"\n },\n {\n \"question_id\": \"87946\",\n \"answer\": \"He plays music for them.\"\n },\n {\n \"question_id\": \"87947\",\n \"answer\": \"He does.\"\n },\n {\n \"question_id\": \"87948\",\n \"answer\": \"Yes he did.\"\n },\n {\n \"question_id\": \"87949\",\n \"answer\": \"A party at home.\"\n },\n {\n \"question_id\": \"87950\",\n \"answer\": \"His mom cooked a lot.\"\n },\n {\n \"question_id\": \"87951\",\n \"answer\": \"Everyone Gave him a gift.\"\n },\n {\n \"question_id\": \"87952\",\n \"answer\": \"They sang and played games.\"\n },\n {\n \"question_id\": \"87953\",\n \"answer\": \"An English dictionary.\"\n },\n {\n \"question_id\": \"87954\",\n \"answer\": \"a guitar.\"\n },\n {\n \"question_id\": \"87955\",\n \"answer\": \"They had a good time.\"\n },\n {\n \"question_id\": \"87956\",\n \"answer\": \"He is.\"\n },\n {\n \"question_id\": \"87957\",\n \"answer\": \"Tom does.\"\n },\n {\n \"question_id\": \"87958\",\n \"answer\": \"No, they were beautiful.\"\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 Motown is an American record company. The record company was founded by Berry Gordy Jr. as Tamla Records on January 12, 1959, and was incorporated as Motown Record Corporation on April 14, 1960, in Detroit, Michigan. The name, a portmanteau of \"motor\" and \"town\", has also become a nickname for Detroit. Motown played an important role in the racial integration of popular music as an African American-owned record label that achieved significant crossover success. In the 1960s, Motown and its subsidiary labels (including Tamla Motown, the brand used outside the US) were the most successful proponents of what came to be known as the Motown Sound, a style of soul music with a distinct pop influence. During the 1960s, Motown achieved spectacular success for a small record company: 79 records in the Top Ten of the \"Billboard\" Hot 100 record chart between 1960 and 1969. \n\nFollowing the events of the Detroit Riots of 1967, and the loss of key songwriting/production team Holland-Dozier-Holland the same year over pay disputes, Gordy began relocating Motown to Los Angeles. The move was completed in 1972 and Motown expanded into television and film production, remaining an independent company until June 28, 1988. The company was then sold to MCA Inc. Motown was later sold to PolyGram in 1994, before being sold again to MCA Records' successor, Universal Music Group, when it acquired PolyGram in 1999.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20687\": \"what company did Berry start?\"\n },\n {\n \"20688\": \"when?\"\n },\n {\n \"20689\": \"what is it now known as?\"\n },\n {\n \"20690\": \"when did it change?\"\n },\n {\n \"20691\": \"how did the name originate?\"\n },\n {\n \"20692\": \"from what city?\"\n },\n {\n \"20693\": \"is that also a name for that city?\"\n },\n {\n \"20694\": \"what did Motown help with?\"\n },\n {\n \"20695\": \"how?\"\n },\n {\n \"20696\": \"what brand was used outside the US?\"\n },\n {\n \"20697\": \"what style of music did they create?\"\n },\n {\n \"20698\": \"how many top 10 hits were produced early on?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20687\",\n \"answer\": \"Tamla Records\"\n },\n {\n \"question_id\": \"20688\",\n \"answer\": \"January 12, 1959\"\n },\n {\n \"question_id\": \"20689\",\n \"answer\": \"Motown Record Corporation\"\n },\n {\n \"question_id\": \"20690\",\n \"answer\": \"April 14, 1960\"\n },\n {\n \"question_id\": \"20691\",\n \"answer\": \"a mix of \\\"motor\\\" and \\\"town\\\"\"\n },\n {\n \"question_id\": \"20692\",\n \"answer\": \"Detroit\"\n },\n {\n \"question_id\": \"20693\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20694\",\n \"answer\": \"the racial integration of popular music\"\n },\n {\n \"question_id\": \"20695\",\n \"answer\": \"as an African American-owned record label that achieved significant crossover success.\"\n },\n {\n \"question_id\": \"20696\",\n \"answer\": \"Tamla Motown\"\n },\n {\n \"question_id\": \"20697\",\n \"answer\": \"soul music with a distinct pop influence\"\n },\n {\n \"question_id\": \"20698\",\n \"answer\": \"79 records\"\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 XX. \n\nSOMETHING ABOUT WHITE OX. \n\n\"What shall we do, Joe; wait until your brother and old Benson come up?\" asked Darry, as they surveyed the approaching animals. \n\n\"I suppose we ought to wait,\" answered Joe. \"But if they take alarm, they'll be off in double-quick order, I am afraid.\" \n\nEach of the boys brought around his rifle, which had been picked up on leaving the desperadoes' rendezvous, and saw that it was ready for use. \n\n\"If we could only signal to the others!\" suggested Darry impatiently. \n\n\"One of us might go back,\" began Joe, when he gave a sudden start. \"They see us! See, they are turning away!\" he cried. \n\nHardly had he spoken when Darry fired, aiming at the largest of the buffaloes. Joe followed, with a second shot, aimed at the same beast. Both bullets reached their mark, and the animal was hit in the breast and in the right foreleg. \n\n\"We hit him!\" ejaculated Darry. \"Let us fire at him again!\" And he started to reload with all speed. \n\nWhen struck the buffalo uttered a bellow of pain and went down on his knees. But he quickly arose, and now came straight for the boys, his head down, as if to gore them to death. \n\nCrack! It was Darry's rifle which spoke up, and the buffalo staggered, hit on the head, a glancing blow, however, which did little damage. \n\nBy this time Joe had reloaded, but he did not fire at once, hoping to get a closer shot at the beast. In the meantime the others of the herd had disappeared completely. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9437\": \"What Darry fired at?\"\n },\n {\n \"9438\": \"Was it a big one?\"\n },\n {\n \"9439\": \"Who did the same?\"\n },\n {\n \"9440\": \"What he targeted?\"\n },\n {\n \"9441\": \"Did they make it?\"\n },\n {\n \"9442\": \"Where did they hit the buffalo?\"\n },\n {\n \"9443\": \"Anywhere else?\"\n },\n {\n \"9444\": \"Did they kill it instantly?\"\n },\n {\n \"9445\": \"What it did?\"\n },\n {\n \"9446\": \"then?\"\n },\n {\n \"9447\": \"They were the only two there?\"\n },\n {\n \"9448\": \"Who they expected to show up?\"\n },\n {\n \"9449\": \"Anyone else?\"\n },\n {\n \"9450\": \"Were they in front of the buffaloes at that time?\"\n },\n {\n \"9451\": \"What the buffaloes were doing?\"\n },\n {\n \"9452\": \"Who asked whether they should wait until others show up?\"\n },\n {\n \"9453\": \"What was Joe's response?\"\n },\n {\n \"9454\": \"Once the buffalo charged who fired?\"\n },\n {\n \"9455\": \"What the other person did?\"\n },\n {\n \"9456\": \"What he did next?\"\n },\n {\n \"9457\": \"What the rest of the buffaloes did?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9437\",\n \"answer\": \"buffaloe\"\n },\n {\n \"question_id\": \"9438\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9439\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"9440\",\n \"answer\": \"the same buffalo\"\n },\n {\n \"question_id\": \"9441\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9442\",\n \"answer\": \"in the breast\"\n },\n {\n \"question_id\": \"9443\",\n \"answer\": \"and in the right foreleg\"\n },\n {\n \"question_id\": \"9444\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9445\",\n \"answer\": \"But he quickly arose\"\n },\n {\n \"question_id\": \"9446\",\n \"answer\": \"charged them\"\n },\n {\n \"question_id\": \"9447\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9448\",\n \"answer\": \"Joe's brother\"\n },\n {\n \"question_id\": \"9449\",\n \"answer\": \"old Benson\"\n },\n {\n \"question_id\": \"9450\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9451\",\n \"answer\": \"approaching them\"\n },\n {\n \"question_id\": \"9452\",\n \"answer\": \"Darry\"\n },\n {\n \"question_id\": \"9453\",\n \"answer\": \"they ought to wait\"\n },\n {\n \"question_id\": \"9454\",\n \"answer\": \"Darry\"\n },\n {\n \"question_id\": \"9455\",\n \"answer\": \"reloaded\"\n },\n {\n \"question_id\": \"9456\",\n \"answer\": \"hoping to get a closer shot\"\n },\n {\n \"question_id\": \"9457\",\n \"answer\": \"disappeared completely\"\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) -- Music manager Allen Klein, whose clients included the Rolling Stones and the Beatles, died Saturday after a lengthy battle with Alzheimer's disease, his publicist said. Klein was 77. \n\nThe son of Jewish immigrants from Hungary, Klein founded his firm Allen Klein & Co. in the late 1950s before the label evolved into ABKCO Music & Records in New York. The independent label holds the copyrights to music by the Rolling Stones, Sam Cooke, the Animals, the Kinks, Chubby Checker, Bobby Womack and hundreds of others. \n\nKlein represented dozens of artists, including Sam Cooke, the Animals, Bobby Darin and Herman's Hermits. He changed the music industry when he represented Sam Cooke in negotiations with RCA, winning the artist control of his own master recordings. \n\nKnown for a tenacious and often blunt style in negotiations, Klein's greatest coups were inking contracts with the Rolling Stones and the Beatles, though both relationships ended in legal battles. \n\nABKCO built up a catalog of copyrights to more than 2,000 songs, including much of the Stones' 1960s catalog. Klein retained ownership of those titles even after splitting with the Stones. In 1969, John Lennon persuaded the other Beatles that Klein should take over the group's business affairs, but Paul McCartney resisted the move and some music historians say the appointment hastened the Beatles' split. \n\nLennon later fell out with Klein, who was thought to be the target of the former Beatle's 1974 song \"Steel and Glass.\" \n\nDefending his tough style, Klein told Playboy magazine in 1971: \"The music business is about 99 percent no-talent losers who can't stand a winner in their midst.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57868\": \"Who was the founder of Allen Klein & Co.?\"\n },\n {\n \"57869\": \"When did it start?\"\n },\n {\n \"57870\": \"What is it now?\"\n },\n {\n \"57871\": \"Where is it?\"\n },\n {\n \"57872\": \"Who was the manger of the Rolling Stones?\"\n },\n {\n \"57873\": \"Is he still alive?\"\n },\n {\n \"57874\": \"When did he die?\"\n },\n {\n \"57875\": \"What condition did he have?\"\n },\n {\n \"57876\": \"Who was the manager of the Beatles?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57868\",\n \"answer\": \"Allen Klein\"\n },\n {\n \"question_id\": \"57869\",\n \"answer\": \"late 1950s\"\n },\n {\n \"question_id\": \"57870\",\n \"answer\": \"ABKCO Music & Records\"\n },\n {\n \"question_id\": \"57871\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"57872\",\n \"answer\": \"Klein\"\n },\n {\n \"question_id\": \"57873\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57874\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"57875\",\n \"answer\": \"Alzheimer's disease\"\n },\n {\n \"question_id\": \"57876\",\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 New Brunswick is one of Canada's three Maritime provinces (together with Prince Edward Island and Nova Scotia) and is the only constitutionally bilingual (English–French) province. The principal cities are Fredericton, the capital, Greater Moncton, currently the largest metropolitan (CMA) area and the most populous city, and the port city of Saint John, which was the first incorporated city in Canada and largest in the province for 231 years until 2016. \n\nIn the Canada 2016 Census, Statistics Canada estimated the provincial population to have been 747,101, down very slightly from 751,171 in 2011, on an area of almost 73,000 km. The majority of the population is English-speaking of Anglo and Celtic heritage, but there is also a large Francophone minority (31%), chiefly of Acadian origin. It was created as a result of the partitioning of the British colony of Nova Scotia in 1784 with the capital in Saint John before being moved up river. The name 'New Brunswick' was chosen by King George III despite local recommendations for the name to be 'New Ireland'. The provincial flag features a ship superimposed on a yellow background with a yellow \"lion passant guardant\" on red pennon above it. \n\nThe province is named after the city of Braunschweig (\"\" in English and Low German) in the former Duchy of Brunswick-Lüneburg, what is now Lower Saxony in northern Germany. The then-colony was named in 1784 to honour the reigning British monarch, George III, who was concurrently Duke and prince-elector of Brunswick-Lüneburg (\"Hanover\") in the Holy Roman Empire.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65746\": \"what is Canadas only biligual province?\"\n },\n {\n \"65747\": \"what is the capital of New Brunswick?\"\n },\n {\n \"65748\": \"what was the population in 2016?\"\n },\n {\n \"65749\": \"how big is the area?\"\n },\n {\n \"65750\": \"what is the common heritage there?\"\n },\n {\n \"65751\": \"what is the percentage of Francophone?\"\n },\n {\n \"65752\": \"where does this group originate from?\"\n },\n {\n \"65753\": \"where did the name come from?\"\n },\n {\n \"65754\": \"what does the flag look like?\"\n },\n {\n \"65755\": \"where did the name originate from?\"\n },\n {\n \"65756\": \"what did people want it to be called though?\"\n },\n {\n \"65757\": \"what was the population in 2011?\"\n },\n {\n \"65758\": \"did it grow in the following years?\"\n },\n {\n \"65759\": \"what is New Brunswick one of three of?\"\n },\n {\n \"65760\": \"what are the other 2?\"\n },\n {\n \"65761\": \"where do most people live here?\"\n },\n {\n \"65762\": \"was Saint John ever the largest city?\"\n },\n {\n \"65763\": \"for how long?\"\n },\n {\n \"65764\": \"what is the largest CMA in New Brunswick?\"\n },\n {\n \"65765\": \"how was New Brunswick started?\"\n },\n {\n \"65766\": \"when did that happen?\"\n },\n {\n \"65767\": \"what happened to the capital after that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65746\",\n \"answer\": \"New Brunswick\"\n },\n {\n \"question_id\": \"65747\",\n \"answer\": \"Greater Moncton\"\n },\n {\n \"question_id\": \"65748\",\n \"answer\": \"747,101\"\n },\n {\n \"question_id\": \"65749\",\n \"answer\": \"73,000\\u00a0km\"\n },\n {\n \"question_id\": \"65750\",\n \"answer\": \"Anglo and Celtic\"\n },\n {\n \"question_id\": \"65751\",\n \"answer\": \"(31%)\"\n },\n {\n \"question_id\": \"65752\",\n \"answer\": \"Acadian\"\n },\n {\n \"question_id\": \"65753\",\n \"answer\": \"chosen by King George III\"\n },\n {\n \"question_id\": \"65754\",\n \"answer\": \"a ship superimposed on a yellow background with a yellow \\\"lion passant guardant\\\" on red pennon above it\"\n },\n {\n \"question_id\": \"65755\",\n \"answer\": \"he city of Braunschweig\"\n },\n {\n \"question_id\": \"65756\",\n \"answer\": \"New Ireland\"\n },\n {\n \"question_id\": \"65757\",\n \"answer\": \"751,171\"\n },\n {\n \"question_id\": \"65758\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65759\",\n \"answer\": \"is one of Canada's three Maritime provinces\"\n },\n {\n \"question_id\": \"65760\",\n \"answer\": \"Prince Edward Island and Nova Scotia\"\n },\n {\n \"question_id\": \"65761\",\n \"answer\": \"Saint John\"\n },\n {\n \"question_id\": \"65762\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65763\",\n \"answer\": \"231 years\"\n },\n {\n \"question_id\": \"65764\",\n \"answer\": \"Greater Moncton\"\n },\n {\n \"question_id\": \"65765\",\n \"answer\": \"as a result of the partitioning of the British colony of Nova Scotia\"\n },\n {\n \"question_id\": \"65766\",\n \"answer\": \"1784\"\n },\n {\n \"question_id\": \"65767\",\n \"answer\": \"moved up river\"\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 Istanbul (CNN) -- A Turkish prosecutor has openly accused police of interfering with a high-level corruption investigation. \n\n\"Court orders have not been carried out and there has been open pressure on the judicial process from both the chief prosecutor's office and from the police force, which is supposed to carry out the decisions of the courts,\" Muammer Akkas said in a Thursday statement. \n\nHe spoke one day after three Cabinet ministers resigned their posts, after their sons were arrested or temporarily detained in an anti-graft sting, semiofficial news agency Anadolu reported. \n\nOne of them, Urbanization and Environment Minister Erdogan Bayraktar, went further than the other two, not just resigning his Cabinet position but also calling on Prime Minister Recep Tayyip Erdogan to step down. \n\nTurkish media reported a possible second wave of detentions as imminent late Wednesday, but the raids did not materialize. \n\nInstead, an apparent deadlock within the judiciary emerged as Akkas, the prosecutor, issued his statement saying the judiciary was under the heel of the government. \n\nAkkas accused police and prosecutors of ignoring a decision of the courts by refusing to carry out more raids. \n\nIn a televised statement, Chief Istanbul Prosecutor Turan Colakkadi fired back, saying that Akkas had mishandled the investigation and leaked information to the press, leading to his removal from the case. \n\nEconomy Minister Zafer Caglayan and Interior Minister Muammer Guler, whose sons were also arrested in the investigation, also resigned Wednesday. Erdogan accepted the resignations, Anadolu reported. \n\nThe sons were detained in a roundup that included the head of a public bank, several bureaucrats and high-profile businessmen. The roundup came after a two-year investigation by the Istanbul Prosecutor's Office into allegations of corruption including money laundering, gold smuggling and bribery. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90040\": \"who is accused?\"\n },\n {\n \"90041\": \"accused of what?\"\n },\n {\n \"90042\": \"interfering with what?\"\n },\n {\n \"90043\": \"what type of investigation?\"\n },\n {\n \"90044\": \"did the media report?\"\n },\n {\n \"90045\": \"what did they report?\"\n },\n {\n \"90046\": \"a second wave of what?\"\n },\n {\n \"90047\": \"when was this to happen?\"\n },\n {\n \"90048\": \"did the detentions occur?\"\n },\n {\n \"90049\": \"did anyone resign?\"\n },\n {\n \"90050\": \"who resigned?\"\n },\n {\n \"90051\": \"what does he do?\"\n },\n {\n \"90052\": \"did anyone else resign?\"\n },\n {\n \"90053\": \"who?\"\n },\n {\n \"90054\": \"what was his position?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90040\",\n \"answer\": \"A Turkish prosecutor\"\n },\n {\n \"question_id\": \"90041\",\n \"answer\": \"of interfering\"\n },\n {\n \"question_id\": \"90042\",\n \"answer\": \"investigation\"\n },\n {\n \"question_id\": \"90043\",\n \"answer\": \"a high-level corruption investigation.\"\n },\n {\n \"question_id\": \"90044\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90045\",\n \"answer\": \"reported a possible second wave\"\n },\n {\n \"question_id\": \"90046\",\n \"answer\": \"of detentions\"\n },\n {\n \"question_id\": \"90047\",\n \"answer\": \"late Wednesday,\"\n },\n {\n \"question_id\": \"90048\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90049\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90050\",\n \"answer\": \"Muammer Guler\"\n },\n {\n \"question_id\": \"90051\",\n \"answer\": \"Interior Minister\"\n },\n {\n \"question_id\": \"90052\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90053\",\n \"answer\": \"Zafer Caglayan\"\n },\n {\n \"question_id\": \"90054\",\n \"answer\": \"Minister\"\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 XLVIII \n\nAnother Meeting in the Wood \n\nTHE next day, at evening, two men were walking from opposite points towards the same scene, drawn thither by a common memory. The scene was the Grove by Donnithorne Chase: you know who the men were. \n\nThe old squire's funeral had taken place that morning, the will had been read, and now in the first breathing-space, Arthur Donnithorne had come out for a lonely walk, that he might look fixedly at the new future before him and confirm himself in a sad resolution. He thought he could do that best in the Grove. \n\nAdam too had come from Stontion on Monday evening, and to-day he had not left home, except to go to the family at the Hall Farm and tell them everything that Mr. Irwine had left untold. He had agreed with the Poysers that he would follow them to their new neighbourhood, wherever that might be, for he meant to give up the management of the woods, and, as soon as it was practicable, he would wind up his business with Jonathan Burge and settle with his mother and Seth in a home within reach of the friends to whom he felt bound by a mutual sorrow. \n\n\"Seth and me are sure to find work,\" he said. \"A man that's got our trade at his finger-ends is at home everywhere; and we must make a new start. My mother won't stand in the way, for she's told me, since I came home, she'd made up her mind to being buried in another parish, if I wished it, and if I'd be more comfortable elsewhere. It's wonderful how quiet she's been ever since I came back. It seems as if the very greatness o' the trouble had quieted and calmed her. We shall all be better in a new country, though there's some I shall be loath to leave behind. But I won't part from you and yours, if I can help it, Mr. Poyser. Trouble's made us kin.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59786\": \"Who will find work?\"\n },\n {\n \"59787\": \"How many were walking from opposite points?\"\n },\n {\n \"59788\": \"What was common in them?\"\n },\n {\n \"59789\": \"Who came to Stontion on Monday?\"\n },\n {\n \"59790\": \"What time of the day?\"\n },\n {\n \"59791\": \"Did he go out?\"\n },\n {\n \"59792\": \"Was there exception to that?\"\n },\n {\n \"59793\": \"What was that?\"\n },\n {\n \"59794\": \"Did someone have leave his story unfinished?\"\n },\n {\n \"59795\": \"Who was that?\"\n },\n {\n \"59796\": \"Did someone completed it?\"\n },\n {\n \"59797\": \"Who?\"\n },\n {\n \"59798\": \"When did the funeral take place?\"\n },\n {\n \"59799\": \"Whose funeral?\"\n },\n {\n \"59800\": \"Did the deceased have a will?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59786\",\n \"answer\": \"Seth\"\n },\n {\n \"question_id\": \"59787\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"59788\",\n \"answer\": \"a memory\"\n },\n {\n \"question_id\": \"59789\",\n \"answer\": \"Adam\"\n },\n {\n \"question_id\": \"59790\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"59791\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59792\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59793\",\n \"answer\": \"to go to the family at the Hall Farm\"\n },\n {\n \"question_id\": \"59794\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59795\",\n \"answer\": \"Mr. Irwine\"\n },\n {\n \"question_id\": \"59796\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59797\",\n \"answer\": \"Adam\"\n },\n {\n \"question_id\": \"59798\",\n \"answer\": \"that morning\"\n },\n {\n \"question_id\": \"59799\",\n \"answer\": \"The old squire's\"\n },\n {\n \"question_id\": \"59800\",\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\n_THE WAR BETWEEN CÆSAR AND POMPEY._ \n\nWhat official arrangements were made for Proconsuls in regard to money, when in command of a province, we do not know. The amounts allowed were no doubt splendid, but it was not to them that the Roman governor looked as the source of that fortune which he expected to amass. The means of plunder were infinite, but of plunder always subject to the danger of an accusation. We remember how Verres calculated that he could divide his spoil into three sufficient parts--one for the lawyers, one for the judges, so as to insure his acquittal, and then one for himself. This plundering was common--so common as to have become almost a matter of course; but it was illegal, and subjected some unfortunate culprits to exile, and to the disgorging of a part of what they had taken. No accusation was made against Cicero. As to others there were constantly threats, if no more than threats. Cicero was not even threatened. But he had saved out of his legitimate expenses a sum equal to £18,000 of our money--from which we may learn how noble were the appanages of a Roman governor. The expenses of all his staff passed through his own hands, and many of those of his army. Any saving effected would therefore be to his own personal advantage. On this money he counted much when his affairs were in trouble, as he was going to join Pompey at Pharsalia in the following year. He then begged Atticus to arrange his matters for him, telling him that the sum was at his call in Asia,[116] but he never saw it again: Pompey borrowed it--or took it; and when Pompey had been killed the money was of course gone. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44896\": \"Who thought he could split his spoil into parts?\"\n },\n {\n \"44897\": \"How many parts?\"\n },\n {\n \"44898\": \"Who was one part for?\"\n },\n {\n \"44899\": \"And the second part?\"\n },\n {\n \"44900\": \"For what purpose?\"\n },\n {\n \"44901\": \"And the last part?\"\n },\n {\n \"44902\": \"Were there a limited amount of ways to plunder?\"\n },\n {\n \"44903\": \"How many ways?\"\n },\n {\n \"44904\": \"Was looting legal?\"\n },\n {\n \"44905\": \"But was it happening a lot?\"\n },\n {\n \"44906\": \"How often?\"\n },\n {\n \"44907\": \"What happened to those caught?\"\n },\n {\n \"44908\": \"Did they have to give back some of what they'd taken?\"\n },\n {\n \"44909\": \"Who was begged to arrange matters?\"\n },\n {\n \"44910\": \"Where would money be waiting for him?\"\n },\n {\n \"44911\": \"Who ended up with the money?\"\n },\n {\n \"44912\": \"How did he get it?\"\n },\n {\n \"44913\": \"What happened to Pompey?\"\n },\n {\n \"44914\": \"And where was the money then?\"\n },\n {\n \"44915\": \"Who were official plans made for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44896\",\n \"answer\": \"Verres.\"\n },\n {\n \"question_id\": \"44897\",\n \"answer\": \"Three.\"\n },\n {\n \"question_id\": \"44898\",\n \"answer\": \"The lawyers.\"\n },\n {\n \"question_id\": \"44899\",\n \"answer\": \"The judges.\"\n },\n {\n \"question_id\": \"44900\",\n \"answer\": \"To insure his acquittal.\"\n },\n {\n \"question_id\": \"44901\",\n \"answer\": \"For himself.\"\n },\n {\n \"question_id\": \"44902\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"44903\",\n \"answer\": \"Infinite,\"\n },\n {\n \"question_id\": \"44904\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"44905\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"44906\",\n \"answer\": \"So common, almost a matter of course.\"\n },\n {\n \"question_id\": \"44907\",\n \"answer\": \"Exile.\"\n },\n {\n \"question_id\": \"44908\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"44909\",\n \"answer\": \"Atticus.\"\n },\n {\n \"question_id\": \"44910\",\n \"answer\": \"Asia.\"\n },\n {\n \"question_id\": \"44911\",\n \"answer\": \"Pompey.\"\n },\n {\n \"question_id\": \"44912\",\n \"answer\": \"Borrowed it--or took it.\"\n },\n {\n \"question_id\": \"44913\",\n \"answer\": \"He was killed.\"\n },\n {\n \"question_id\": \"44914\",\n \"answer\": \"Gone.\"\n },\n {\n \"question_id\": \"44915\",\n \"answer\": \"Proconsul.\"\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 POTTSVILLE, Pennsylvania (CNN) -- A fomer Pennsylvania high school football player was acquitted of murder Friday in the beating death of a Mexican immigrant last summer. \n\nLuis Ramirez died of blunt force injuries after a confrontation with a group of Pennsylania teens. \n\nHowever, a Schuylkill County jury found Brandon Piekarsky and Derrick Donchak guilty of simple assault stemming from the death of Luis Ramirez, who died of blunt force injuries to the head after a fight with the defendants and their friends. \n\nDonchak, 19, was also found guilty of providing alcohol to the group of teens that encountered Ramirez the night of July 12 on a residential street in the rural mining town of Shenandoah. \n\nBoth teens were acquitted of ethnic intimidation charges. \n\nProsecutors alleged the teens baited the undocumented Mexican immigrant into a fight with racial epithets, provoking an exchange of punches and kicks that ended with Ramirez convulsing in the street, foaming from the mouth. \n\nHe died two days later in a hospital in Danville. \n\nPiekarsky, 17, had faced a charge of third-degree murder for allegedly delivering a fatal kick to Ramirez's head after he was knocked to the ground. He also was found not guilty of ethnic intimidation, aggravated assault and attempting to solicit a cover-up. \n\nAn all-white jury of six men and six women heard from several prosecution witnesses, including a juvenile co-defendant and another teen who pleaded guilty in federal court for his role in the fight. \n\nWhile the jury heard conflicting accounts about who initiated the encounter or delivered the final kick to Ramirez's head, defense lawyers attempted to place the blame on another co-defendant, who is facing charges in juvenile court, and Colin Walsh, who has pleaded guilty to violating Ramirez's civil rights. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3246\": \"Who died?\"\n },\n {\n \"3247\": \"How many were found guilty in causing his death?\"\n },\n {\n \"3248\": \"What were their names?\"\n },\n {\n \"3249\": \"Were they charged with murder?\"\n },\n {\n \"3250\": \"Was he convicted of that charge?\"\n },\n {\n \"3251\": \"What other charge was he acquitted from?\"\n },\n {\n \"3252\": \"What other charge was Donchak found guilty of?\"\n },\n {\n \"3253\": \"How old is he?\"\n },\n {\n \"3254\": \"and how old is Pierasky?\"\n },\n {\n \"3255\": \"On what date did the altercation occur?\"\n },\n {\n \"3256\": \"In what town?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3246\",\n \"answer\": \"Luis Ramirez\"\n },\n {\n \"question_id\": \"3247\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"3248\",\n \"answer\": \"Brandon Piekarsky and Derrick Donchak\"\n },\n {\n \"question_id\": \"3249\",\n \"answer\": \"Piekarsky had faced a charge of third-degree murder\"\n },\n {\n \"question_id\": \"3250\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3251\",\n \"answer\": \"ethnic intimidation, aggravated assault and attempting to solicit a cover-up\"\n },\n {\n \"question_id\": \"3252\",\n \"answer\": \"providing alcohol to teens\"\n },\n {\n \"question_id\": \"3253\",\n \"answer\": \"19\"\n },\n {\n \"question_id\": \"3254\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"3255\",\n \"answer\": \"July 12\"\n },\n {\n \"question_id\": \"3256\",\n \"answer\": \"Shenandoah\"\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) -- Troubled pop star Amy Winehouse spent the night in a London hospital after suffering a reaction to a medication she was taking at home Monday night, according to her spokeswoman. \n\nAmy Winehouse's husband was recently jailed for 27 months. \n\nTracey Miller said she could not say what medication was involved. \n\nA statement from University College Hospital said Winehouse had been kept in overnight for observation. \n\nShe had a comfortable night and was released Tuesday morning, the statement said. \n\nLondon Ambulance Service said it transported the singer after being notified of \"an adult female taken unwell.\" \n\nWinehouse's spokesman in London, Chris Goodman, told the British Press Association that he had not been told what was wrong with the 24-year-old singer, who is well known for her song \"Rehab,\" describing the singer's reluctance to enter a clinic. \n\nThe pop singer was investigated this year after a London tabloid made public a leaked home video that showed her smoking something in a glass pipe minutes after she was heard saying she had just taken six tablets of the anti-anxiety drug Valium. Police declined to file charges. \n\nThe singer has battled drug addiction and spent about two weeks in a rehabilitation clinic in January. \n\nWinehouse won five Grammy awards this year -- three for \"Rehab\" as well as Album of the Year and Best New Artist. \n\nWinehouse's Grammy winning album, \"Back to Black,\" is still a big seller, recently charting at No. 12 in the UK more than 19 months after its release. Madame Toussaud's London wax museum recently unveiled a wax statue of Winehouse alongside Madonna, Jimi Hendrix, the Beatles, Justin Timberlake, Beyonce and other musicians in the museum's \"Music Zone\" exhibit. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18195\": \"Who is the story about?\"\n },\n {\n \"18196\": \"Where did she spend Monday night?\"\n },\n {\n \"18197\": \"Why was she there?\"\n },\n {\n \"18198\": \"What medicine?\"\n },\n {\n \"18199\": \"When was she discharged?\"\n },\n {\n \"18200\": \"What is the title of her popular song?\"\n },\n {\n \"18201\": \"What does it describe?\"\n },\n {\n \"18202\": \"What was shown to the public this year?\"\n },\n {\n \"18203\": \"What does she battle?\"\n },\n {\n \"18204\": \"Where was she at in the beginning of the year?\"\n },\n {\n \"18205\": \"For how long?\"\n },\n {\n \"18206\": \"What is at the top of the charts?\"\n },\n {\n \"18207\": \"What was it ranked?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"18195\",\n \"answer\": \"Amy Winehouse\"\n },\n {\n \"question_id\": \"18196\",\n \"answer\": \"in a hospital\"\n },\n {\n \"question_id\": \"18197\",\n \"answer\": \"a reaction to a medication\"\n },\n {\n \"question_id\": \"18198\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"18199\",\n \"answer\": \"Tuesday morning\"\n },\n {\n \"question_id\": \"18200\",\n \"answer\": \"Rehab\"\n },\n {\n \"question_id\": \"18201\",\n \"answer\": \"the singer's reluctance to enter a clinic\"\n },\n {\n \"question_id\": \"18202\",\n \"answer\": \"a wax statue of Winehouse\"\n },\n {\n \"question_id\": \"18203\",\n \"answer\": \"drug addiction\"\n },\n {\n \"question_id\": \"18204\",\n \"answer\": \"a rehabilitation clinic\"\n },\n {\n \"question_id\": \"18205\",\n \"answer\": \"about two weeks\"\n },\n {\n \"question_id\": \"18206\",\n \"answer\": \"Back to Black\"\n },\n {\n \"question_id\": \"18207\",\n \"answer\": \"No. 12\"\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 Little Rock, Arkansas (CNN) -- Former President Bill Clinton suggested on Saturday that the fall in Hispanic turnout for Democrats in 2014 was partly due to President Barack Obama's decision to not issue an executive order on immigration. \n\nAt a Politico event with Mike Allen in Little Rock, Clinton and his former aides reminisced about the past but with a clear eye on how their decisions in the 1990s could be implemented in the future. \n\nClinton also handicapped the disastrous midterms for Democrats. \n\n\"There was a collapse of the youth vote, the African-American vote held fairly steady,\" Clinton said. \"We had a little bit of a loss of the Hispanic vote, perhaps because the President didn't issue the immigration order. But it was a tough call for him because had he done so, a lot of others would have lost by even more. It was a difficult call.\" \n\nLatinos made up 10% of the electorate in 2012, according to CNN's exit polls. In 2014, that number was 8%. \n\nIn September, Obama decided to postpone issuing an executive action on immigration until after November's elections because it would be \"more sustainable\" then. \n\nClinton said the biggest problem for Democrats -- who lost their majority in the Senate and fell deeper into the minority in the House -- was that \"the people who were against us felt more strongly than the people for us.\" \n\nThe former president also suggested that a national advertising campaign -- that Democrats \"didn't have\" -- on an economic message and other issues could have \"made all the difference in a couple of close races.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62705\": \"Which political party did Clinton identify as?\"\n },\n {\n \"62706\": \"What did he think their biggest problem was?\"\n },\n {\n \"62707\": \"What percentage did the hispanic vote drop from 2012 to 2014?\"\n },\n {\n \"62708\": \"Why did Clinton think that was?\"\n },\n {\n \"62709\": \"What did Obama do in September?\"\n },\n {\n \"62710\": \"Until when?\"\n },\n {\n \"62711\": \"Why?\"\n },\n {\n \"62712\": \"Did more youth vote then normally?\"\n },\n {\n \"62713\": \"Less?\"\n },\n {\n \"62714\": \"How did the African-American vote do?\"\n },\n {\n \"62715\": \"What reasoning was it speculated that the hispanic vote dropped?\"\n },\n {\n \"62716\": \"Was that a hard decision to make?\"\n },\n {\n \"62717\": \"Why?\"\n },\n {\n \"62718\": \"What did Clinton think would have made a difference?\"\n },\n {\n \"62719\": \"Did the dems have one?\"\n },\n {\n \"62720\": \"What year did Clinton make decisions?\"\n },\n {\n \"62721\": \"What event did he go to?\"\n },\n {\n \"62722\": \"With whom?\"\n },\n {\n \"62723\": \"Was Hillary there?\"\n },\n {\n \"62724\": \"Where was the event?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62705\",\n \"answer\": \"Democrat\"\n },\n {\n \"question_id\": \"62706\",\n \"answer\": \"The people who were against us felt more strongly than the people for us.\"\n },\n {\n \"question_id\": \"62707\",\n \"answer\": \"From 10% to 8%\"\n },\n {\n \"question_id\": \"62708\",\n \"answer\": \"Partly due to President Barack Obama's decision to not issue an executive order on immigration\"\n },\n {\n \"question_id\": \"62709\",\n \"answer\": \"He decided to postpone issuing an executive action on immigration\"\n },\n {\n \"question_id\": \"62710\",\n \"answer\": \"Until after November's elections\"\n },\n {\n \"question_id\": \"62711\",\n \"answer\": \"They would be \\\"more sustainable\\\" then.\"\n },\n {\n \"question_id\": \"62712\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62713\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"62714\",\n \"answer\": \"Held fairly steady\"\n },\n {\n \"question_id\": \"62715\",\n \"answer\": \"The President didn't issue the immigration order\"\n },\n {\n \"question_id\": \"62716\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"62717\",\n \"answer\": \"Others may have lost by even more\"\n },\n {\n \"question_id\": \"62718\",\n \"answer\": \"A national advertising campaign\"\n },\n {\n \"question_id\": \"62719\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62720\",\n \"answer\": \"In the 1990s\"\n },\n {\n \"question_id\": \"62721\",\n \"answer\": \"A Politico event\"\n },\n {\n \"question_id\": \"62722\",\n \"answer\": \"Mike Allen\"\n },\n {\n \"question_id\": \"62723\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"62724\",\n \"answer\": \"Little Rock\"\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 Zapata, Texas (CNN) -- The wife of an American man missing since a reported pirate attack on a U.S.-Mexico border lake said Thursday it's \"hard being judged\" by people who have questioned her story, but \"I know what happened that day.\" \n\nTiffany Hartley told authorities her husband David was shot and killed by pirates on Falcon Lake during a sightseeing trip last week. His body has yet to be found, leading to questions about the accuracy of her account. \n\nBut Hartley told HLN's \"Issues with Jane Velez-Mitchell\" on Thursday that \"I know what I know.\" \n\n\"It's hard being judged and thought of that I might have done something to him,\" she said. But she added, \"As long as I know the truth, God knows the truth. And other than that, it almost doesn't really matter to me, because I know what happened that day.\" \n\nMexican authorities said earlier this week that they could not verify the shooting, and Hartley was asked point-blank on NBC's \"Today\" show Wednesday whether she had anything to do with her husband's disappearance. \n\nPam Hartley, David Hartley's mother, said Tuesday that any suggestion that her daughter-in-law's account was inaccurate is \"insane.\" \n\nInvestigators have found some evidence that backs up Hartley's account, including blood on her life vest, Zapata County, Texas, Sheriff Sigifredo Gonzalez Jr. said Thursday. And the incident was similar to other attacks reported by boaters on Falcon Lake, about 70 miles west of the Hartley's home in McAllen. \n\nGonzalez has said the gunmen are typically teenagers hired by a drug cartel in the neighboring Mexican state of Tamaulipas. Mexican authorities have said the lake is controlled on their side by \"organized criminals,\" and the sheriff called on the Zeta cartel to turn over Hartley's remains if they have them. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6775\": \"Who was shot?\"\n },\n {\n \"6776\": \"Did he die?\"\n },\n {\n \"6777\": \"What was his wifes name?\"\n },\n {\n \"6778\": \"Who interviewed her?\"\n },\n {\n \"6779\": \"Did the Authorities believe her?\"\n },\n {\n \"6780\": \"Where did this occur?\"\n },\n {\n \"6781\": \"What supports the wifes story?\"\n },\n {\n \"6782\": \"Who said that?\"\n },\n {\n \"6783\": \"Who does he think may have shot the man?\"\n },\n {\n \"6784\": \"Who would they do it for?\"\n },\n {\n \"6785\": \"American?\"\n },\n {\n \"6786\": \"Who controls opposite side of the lake?\"\n },\n {\n \"6787\": \"Who doubts the wifes story?\"\n },\n {\n \"6788\": \"Who seems to be defending her account?\"\n },\n {\n \"6789\": \"What was her name?\"\n },\n {\n \"6790\": \"Who was requested to return the corpse?\"\n },\n {\n \"6791\": \"Where did the victim live?\"\n },\n {\n \"6792\": \"How far away was that?\"\n },\n {\n \"6793\": \"What organization wrote this report?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6775\",\n \"answer\": \"David Hartley\"\n },\n {\n \"question_id\": \"6776\",\n \"answer\": \"according to his wife\"\n },\n {\n \"question_id\": \"6777\",\n \"answer\": \"Tiffany Hartley\"\n },\n {\n \"question_id\": \"6778\",\n \"answer\": \"Jane Velez-Mitchell\"\n },\n {\n \"question_id\": \"6779\",\n \"answer\": \"some do\"\n },\n {\n \"question_id\": \"6780\",\n \"answer\": \"Falcon Lake\"\n },\n {\n \"question_id\": \"6781\",\n \"answer\": \"blood on her life vest\"\n },\n {\n \"question_id\": \"6782\",\n \"answer\": \"Sigifredo Gonzalez Jr\"\n },\n {\n \"question_id\": \"6783\",\n \"answer\": \"teenagers\"\n },\n {\n \"question_id\": \"6784\",\n \"answer\": \"drug cartel\"\n },\n {\n \"question_id\": \"6785\",\n \"answer\": \"Mexican\"\n },\n {\n \"question_id\": \"6786\",\n \"answer\": \"U.S. and Mexico\"\n },\n {\n \"question_id\": \"6787\",\n \"answer\": \"NBC's \\\"Today\\\" show\"\n },\n {\n \"question_id\": \"6788\",\n \"answer\": \"her mother in law\"\n },\n {\n \"question_id\": \"6789\",\n \"answer\": \"Pam Hartley\"\n },\n {\n \"question_id\": \"6790\",\n \"answer\": \"Zeta cartel\"\n },\n {\n \"question_id\": \"6791\",\n \"answer\": \"McAllen\"\n },\n {\n \"question_id\": \"6792\",\n \"answer\": \"70 miles\"\n },\n {\n \"question_id\": \"6793\",\n \"answer\": \"CNN\"\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 XXII \n\nPATERNAL ANXIETY \n\nM. le Duc d'Aumont, Prime Minister of His Majesty King Louis XV of France, was exceedingly perturbed. He had just had two separate interviews, each of half an hour's duration, and he was now busy trying to dissociate what his daughter had told him in the first interview, from that which M. de Stainville had imparted to him in the second. And he was not succeeding. \n\nThe two sets of statements seemed inextricably linked together. \n\nLydie, certainly had been very strange and agitated in her manner, totally unlike herself: but this mood of course, though so very unusual in her, did not astonish M. le Duc so much, once he realized its cause. \n\nIt was the cause which was so singularly upsetting. \n\nMilor Eglinton, his son-in-law, had sent in his resignation as Comptroller-General of Finance, and this without giving any reason for so sudden and decisive a step. At any rate Lydie herself professed to be ignorant of milor's motives for this extraordinary line of action as she was of his future purpose. All she knew--or all that she cared to tell her father--was that her husband had avowedly the intention of deserting her: he meant to quit Versailles immediately, thus vacating his post without a moment's notice, and leaving his wife, whom he had allowed to conduct all State affairs for him for over a year, to extricate herself, out of a tangle of work and an anomalous position, as best she might. \n\nThe only suggestion which milor had cared to put forward, with regard to her future, was that he was about to make her a free gift of his château and lands of Vincennes, the yearly revenues of which were close upon a million livres. This gift she desired not to accept. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35959\": \"who was prime minister?\"\n },\n {\n \"35960\": \"to who?\"\n },\n {\n \"35961\": \"how many interviews did he have?\"\n },\n {\n \"35962\": \"how long?\"\n },\n {\n \"35963\": \"how many statements?\"\n },\n {\n \"35964\": \"was lydie acting normal?\"\n },\n {\n \"35965\": \"who was his son in law?\"\n },\n {\n \"35966\": \"who told him something during the first interveiw?\"\n },\n {\n \"35967\": \"what was his son in laws occupation?\"\n },\n {\n \"35968\": \"is he still in that occupation?\"\n },\n {\n \"35969\": \"was lydie married?\"\n },\n {\n \"35970\": \"did he give reason for his quitting?\"\n },\n {\n \"35971\": \"did his son in law take his wife?\"\n },\n {\n \"35972\": \"who conducted the affairs?\"\n },\n {\n \"35973\": \"for how long?\"\n },\n {\n \"35974\": \"did she receive a gift?\"\n },\n {\n \"35975\": \"from who\"\n },\n {\n \"35976\": \"of what?\"\n },\n {\n \"35977\": \"did she want this gift?\"\n },\n {\n \"35978\": \"was lydie behavior shocking to anyone?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35959\",\n \"answer\": \"M. le Duc d'Aumont\"\n },\n {\n \"question_id\": \"35960\",\n \"answer\": \"His Majesty King Louis XV of France\"\n },\n {\n \"question_id\": \"35961\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"35962\",\n \"answer\": \"30 minutes each\"\n },\n {\n \"question_id\": \"35963\",\n \"answer\": \"two sets of statements\"\n },\n {\n \"question_id\": \"35964\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35965\",\n \"answer\": \"Milor Eglinton\"\n },\n {\n \"question_id\": \"35966\",\n \"answer\": \"his daughter\"\n },\n {\n \"question_id\": \"35967\",\n \"answer\": \"Comptroller-General of Finance\"\n },\n {\n \"question_id\": \"35968\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35969\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35970\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35971\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35972\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"35973\",\n \"answer\": \"for over a year\"\n },\n {\n \"question_id\": \"35974\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35975\",\n \"answer\": \"Milor Eglinton\"\n },\n {\n \"question_id\": \"35976\",\n \"answer\": \"his ch\\u00e2teau and lands of Vincennes\"\n },\n {\n \"question_id\": \"35977\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35978\",\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 I was shopping in the supermarket when I heard a young voice.\"Mom,come here!There's this lady here my size!\" The mother rushed to her son;then she turned to me to say sorry to me. I smiled and told her,\"It's OK.\"Then I talked to the boy,\"Hi,I'm Dory Kramer. How are you?\" He studied me from head to toe,and asked,\"Are you a little mommy?\" \"Yes,I have a son,\" I answered. \"Why are you so little?\"he asked. \"It's the way I was born,\" I said.\"Some people are little. Some are tall. I'm just not going to grow any bigger.\"After I answered his other questions,I shook the boy's hand and left. My life as a little person is filled with stories like that. I enjoy talking to children and explaining why I look different from their parents. It takes only one glance( ) to see I'm different. I stand three feet nine inches tall(=\"1.14\" metres).I was born adwarf.In spite of this,I did all the things other kids did when I was growing up. I didn't realize how short I was until I started school. Some kids called me names .Then I knew. I began to hate the first day of school each year. But I learned to smile and face the fact that I was going to be noticed my whole life.What I lacked in height,I made up for in personality.When people are rude,I remind myself,\"Look what else I have-a great family,nice friends.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67342\": \"Is the author of this story a little person?\"\n },\n {\n \"67343\": \"What's her name?\"\n },\n {\n \"67344\": \"Who does she talk with in the story?\"\n },\n {\n \"67345\": \"Does she enjoy talking with him?\"\n },\n {\n \"67346\": \"How tall is she?\"\n },\n {\n \"67347\": \"What is that in metres?\"\n },\n {\n \"67348\": \"What's another term for someone like her?\"\n },\n {\n \"67349\": \"When did she realize that she was short?\"\n },\n {\n \"67350\": \"Where does her conversation with the little boy take place?\"\n },\n {\n \"67351\": \"Does she have a child?\"\n },\n {\n \"67352\": \"A son or a daughter?\"\n },\n {\n \"67353\": \"What reason does she give the boy for why she is short?\"\n },\n {\n \"67354\": \"When she was growing up did her shortness keep her from doing what the other kids did?\"\n },\n {\n \"67355\": \"Did she used to hate the start of school?\"\n },\n {\n \"67356\": \"What did she learn to do about it?\"\n },\n {\n \"67357\": \"Anything else?\"\n },\n {\n \"67358\": \"She made up for lack of height with what?\"\n },\n {\n \"67359\": \"Are people sometimes rude?\"\n },\n {\n \"67360\": \"What's one thing she has that she reminds herself about?\"\n },\n {\n \"67361\": \"What else does she have?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"67342\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67343\",\n \"answer\": \"Dory Kramer\"\n },\n {\n \"question_id\": \"67344\",\n \"answer\": \"a boy\"\n },\n {\n \"question_id\": \"67345\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67346\",\n \"answer\": \"three feet nine inches\"\n },\n {\n \"question_id\": \"67347\",\n \"answer\": \"1.14 metres\"\n },\n {\n \"question_id\": \"67348\",\n \"answer\": \"dwarf\"\n },\n {\n \"question_id\": \"67349\",\n \"answer\": \"when she started school\"\n },\n {\n \"question_id\": \"67350\",\n \"answer\": \"in the supermarket\"\n },\n {\n \"question_id\": \"67351\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67352\",\n \"answer\": \"son\"\n },\n {\n \"question_id\": \"67353\",\n \"answer\": \"It's the way she was born\"\n },\n {\n \"question_id\": \"67354\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67355\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67356\",\n \"answer\": \"smile\"\n },\n {\n \"question_id\": \"67357\",\n \"answer\": \"face facts\"\n },\n {\n \"question_id\": \"67358\",\n \"answer\": \"personality\"\n },\n {\n \"question_id\": \"67359\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67360\",\n \"answer\": \"she has a great family\"\n },\n {\n \"question_id\": \"67361\",\n \"answer\": \"nice friends\"\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 Joe was in his bedroom. He was reading a book that his teacher gave him. The book was titled, \"Everything You'd Want to Know About Fish.\" He was reading the book because he was interested in learning more about fish. Joe thought reading the book was fun. He liked to imagine himself swimming with fish he read about in the book. Also, he liked looking at the pictures. \n\nJoe's mother called him. Joe closed the book, and went downstairs. He asked his mother, \"Do you need something?\" \n\nAnd his mother said, \"Joe, it's time for dinner.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21119\": \"Who was in the bedroom?\"\n },\n {\n \"21120\": \"What was he doing?\"\n },\n {\n \"21121\": \"Who gave it to him?\"\n },\n {\n \"21122\": \"What was the title?\"\n },\n {\n \"21123\": \"Why was he reading it?\"\n },\n {\n \"21124\": \"Did he think it was fun?\"\n },\n {\n \"21125\": \"What did he imagine?\"\n },\n {\n \"21126\": \"What else did he like?\"\n },\n {\n \"21127\": \"Who called him?\"\n },\n {\n \"21128\": \"What did he do first?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21119\",\n \"answer\": \"Joe.\"\n },\n {\n \"question_id\": \"21120\",\n \"answer\": \"Reading a book.\"\n },\n {\n \"question_id\": \"21121\",\n \"answer\": \"His teacher.\"\n },\n {\n \"question_id\": \"21122\",\n \"answer\": \"\\\"Everything You'd Want to Know About Fish.\\\"\"\n },\n {\n \"question_id\": \"21123\",\n \"answer\": \"Because he was interested in learning more about fish.\"\n },\n {\n \"question_id\": \"21124\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"21125\",\n \"answer\": \"Swimming with fish he read about in the book.\"\n },\n {\n \"question_id\": \"21126\",\n \"answer\": \"Looking at the pictures.\"\n },\n {\n \"question_id\": \"21127\",\n \"answer\": \"His mother.\"\n },\n {\n \"question_id\": \"21128\",\n \"answer\": \"Closed the book.\"\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.--LOUDON POUNCES UPON SCHWEIDNITZ ONE NIGHT (LAST OF SEPTEMBER, 1761). \n\nIt was September 25th, more properly 26th, [Tempelhof, v. 327.] when Friedrich quitted Bunzelwitz; we heard on what errand. Early that morning he marches with all his goods, first to Pilzen (that fine post on the east side of Schweidnitz); and from that, straightway,--southwestward, two marches farther,--to Neisse neighborhood (Gross-Nossen the name of the place); Loudon making little dispute or none. In Neisse are abundant Magazines: living upon these, Friedrich intends to alarm Loudon's rearward country, and draw him towards Bohemia. As must have gradually followed; and would at once,--had Loudon been given to alarms, which he was not. Loudon, very privately, has quite different game afield. Loudon merely detaches this and the other small Corps to look after Friedrich's operations, which probably he believes to be only a feint:--and, before a week passes, Friedrich will have news he little expects! \n\nFriedrich, pausing at Gross-Nossen, and perhaps a little surprised to find no Loudon meddling with him, pushes out, first one party and then another,--Dalwig, Bulow, towards Landshut Hill-Country, to threaten Loudon's Bohemian roads;--who, singular to say, do not hear the least word of Loudon thereabouts. A Loudon strangely indifferent to this new Enterprise of ours. On the third day of Gross-Nossen (Friday, October 2d), Friedrich detaches General Lentulus to rearward, or the way we came, for news of Loudon. Rearward too, Lentulus sees nothing whatever of Loudon: but, from the rumor of the country, and from two Prussian garrison-soldiers, whom he found wandering about,--he hears, with horror and amazement, That Loudon, by a sudden panther-spring, the night before last, has got hold of Schweidnitz: now his wholly, since 5 A.M. of yesterday; and a strong Austrian garrison in it by this time! That was the news Lentulus brought home to his King; the sorest Job's-post of all this War. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59725\": \"Who paused at Gross-Nossen?\"\n },\n {\n \"59726\": \"What was he caught off guard about?\"\n },\n {\n \"59727\": \"What parties did he push out?\"\n },\n {\n \"59728\": \"Where was he going in the direction of?\"\n },\n {\n \"59729\": \"When was this?\"\n },\n {\n \"59730\": \"What did Friedrich end with?\"\n },\n {\n \"59731\": \"What did he do that morning?\"\n },\n {\n \"59732\": \"Where did he go first?\"\n },\n {\n \"59733\": \"Where did he go there?\"\n },\n {\n \"59734\": \"Where?\"\n },\n {\n \"59735\": \"Where did he go next?\"\n },\n {\n \"59736\": \"Which direction did he travel to get there?\"\n },\n {\n \"59737\": \"How far?\"\n },\n {\n \"59738\": \"What was the proper name of the the Neisse neighborhood?\"\n },\n {\n \"59739\": \"What are there a lot of in Neisse?\"\n },\n {\n \"59740\": \"What does Friedrich plan to do to Loudon's back country?\"\n },\n {\n \"59741\": \"And what?\"\n },\n {\n \"59742\": \"How long before Friedrich will get unexpected news?\"\n },\n {\n \"59743\": \"Who watches over Friedrich's business?\"\n },\n {\n \"59744\": \"Did he do this openly?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59725\",\n \"answer\": \"Friedrich.\"\n },\n {\n \"question_id\": \"59726\",\n \"answer\": \"No Loudon meddling with him.\"\n },\n {\n \"question_id\": \"59727\",\n \"answer\": \"Dalwig and Bulow.\"\n },\n {\n \"question_id\": \"59728\",\n \"answer\": \"Landshut Hill-Country,\"\n },\n {\n \"question_id\": \"59729\",\n \"answer\": \"September 25th, more properly 26th.\"\n },\n {\n \"question_id\": \"59730\",\n \"answer\": \"Bunzelwitz.\"\n },\n {\n \"question_id\": \"59731\",\n \"answer\": \"Marches with all his goods,\"\n },\n {\n \"question_id\": \"59732\",\n \"answer\": \"Pilzen.\"\n },\n {\n \"question_id\": \"59733\",\n \"answer\": \"That fine post.\"\n },\n {\n \"question_id\": \"59734\",\n \"answer\": \"On the east side of Schweidnitz.\"\n },\n {\n \"question_id\": \"59735\",\n \"answer\": \"Neisse neighborhood.\"\n },\n {\n \"question_id\": \"59736\",\n \"answer\": \"Southwestward.\"\n },\n {\n \"question_id\": \"59737\",\n \"answer\": \"Two marches.\"\n },\n {\n \"question_id\": \"59738\",\n \"answer\": \"Gross-Nossen.\"\n },\n {\n \"question_id\": \"59739\",\n \"answer\": \"Abundant Magazines.\"\n },\n {\n \"question_id\": \"59740\",\n \"answer\": \"Alarm them.\"\n },\n {\n \"question_id\": \"59741\",\n \"answer\": \"Draw him towards Bohemia.\"\n },\n {\n \"question_id\": \"59742\",\n \"answer\": \"Before a week passes.\"\n },\n {\n \"question_id\": \"59743\",\n \"answer\": \"Loudon.\"\n },\n {\n \"question_id\": \"59744\",\n \"answer\": \"Very privately.\"\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 the penguin lived at the zoo. Steve loved to lie on his towel outside during the summer. In the winter Steve would get too cold and would stay in his house. Steve loved the zookeeper's helper Bob. The zookeeper's name was Joe, but he never came in to see Steve. Bob would feed Steve treats all summer long when he was working. In the spring, Tim was the zookeeper's helper and would never feed Steve treats, so Steve didn't like him. Steve loved that Bob would give him was fish more than anything. Steve also liked bananas, oranges and apples, but fish was his favorite. Steve would stick his tongue out at the visitors to the zoo, other times he turn around and show them his back because they were always looking at Steve and he didn't like that. Sometimes he would wave his arm to some visitors if they seemed to be nice. Steve loved the summer; it was his favorite time of the year. He got treats and his favorite helper Bob worked during the summer.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21515\": \"Who's favorite food was fish?\"\n },\n {\n \"21516\": \"what kind of animal was he?\"\n },\n {\n \"21517\": \"where did he live?\"\n },\n {\n \"21518\": \"what did he enjoy doing?\"\n },\n {\n \"21519\": \"where?\"\n },\n {\n \"21520\": \"during what season?\"\n },\n {\n \"21521\": \"what did he do in the winter?\"\n },\n {\n \"21522\": \"why?\"\n },\n {\n \"21523\": \"How did the animal love?\"\n },\n {\n \"21524\": \"what was his job?\"\n },\n {\n \"21525\": \"who was the in charge of the zoo?\"\n },\n {\n \"21526\": \"Did he ever visit?\"\n },\n {\n \"21527\": \"When was Bob around?\"\n },\n {\n \"21528\": \"was there someone else before then?\"\n },\n {\n \"21529\": \"In what season?\"\n },\n {\n \"21530\": \"what was his name?\"\n },\n {\n \"21531\": \"Did Steve like him?\"\n },\n {\n \"21532\": \"why not?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21515\",\n \"answer\": \"Steve\"\n },\n {\n \"question_id\": \"21516\",\n \"answer\": \"penguin\"\n },\n {\n \"question_id\": \"21517\",\n \"answer\": \"the zoo.\"\n },\n {\n \"question_id\": \"21518\",\n \"answer\": \"lie on his towel\"\n },\n {\n \"question_id\": \"21519\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"21520\",\n \"answer\": \"the summer\"\n },\n {\n \"question_id\": \"21521\",\n \"answer\": \"stay in his house\"\n },\n {\n \"question_id\": \"21522\",\n \"answer\": \"he was too cold\"\n },\n {\n \"question_id\": \"21523\",\n \"answer\": \"Bob\"\n },\n {\n \"question_id\": \"21524\",\n \"answer\": \"he zookeeper's helper\"\n },\n {\n \"question_id\": \"21525\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"21526\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21527\",\n \"answer\": \"summer\"\n },\n {\n \"question_id\": \"21528\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21529\",\n \"answer\": \"spring\"\n },\n {\n \"question_id\": \"21530\",\n \"answer\": \"Tim\"\n },\n {\n \"question_id\": \"21531\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21532\",\n \"answer\": \"he would never feed Steve treats\"\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 hot afternoon in the summertime a family and their dog were getting ready to have a dinnertime picnic in the park. The dishes in the picnic included peanut butter and jelly sandwiches, watermelons, potato salad, and chocolate cookies. When they got to the park the father, George, was looking for a good place to have the picnic. While they were walking they bumped into their neighbors, Robert and Natalie, and their twins, Anson and Anne and their dog Emile. Robert explained that it was the twins' birthday and they were celebrating by going out for a walk. They said goodbye and kept looking for a picnic spot. He chose a nice spot under a tree that would keep the family cool. While setting up the picnic, the mother, Barbara, told the son, Ralph to go play with their dog, Scout, to pass some time until it was time for dinner. Ralph found a stick and began to play fetch with Scout down the hill. Some time passed and Ralph began to return to the picnic with Scout. Along the way back he picked a flower to give to his mom because it was Mother's day. When he arrived he gave the flower to his mom and she said, \"Thank you so much, Ralph!\" His mother poured him a cool and tasty glass of lemonade. It tasted extra good because it was so hot outside! Ralph sat down and enjoyed the picnic with his family under the large tree.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99657\": \"what did he give his mom?\"\n },\n {\n \"99658\": \"Why?\"\n },\n {\n \"99659\": \"What tasted good?\"\n },\n {\n \"99660\": \"What was the temperature?\"\n },\n {\n \"99661\": \"What did Ralph find?\"\n },\n {\n \"99662\": \"What did he play with it?\"\n },\n {\n \"99663\": \"Who with?\"\n },\n {\n \"99664\": \"Who is the other dog?\"\n },\n {\n \"99665\": \"Who is Ralph's dad?\"\n },\n {\n \"99666\": \"And his mom?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99657\",\n \"answer\": \"A flower.\"\n },\n {\n \"question_id\": \"99658\",\n \"answer\": \"Because it was Mother's day\"\n },\n {\n \"question_id\": \"99659\",\n \"answer\": \"A glass of lemonade.\"\n },\n {\n \"question_id\": \"99660\",\n \"answer\": \"It was hot.\"\n },\n {\n \"question_id\": \"99661\",\n \"answer\": \"A stick.\"\n },\n {\n \"question_id\": \"99662\",\n \"answer\": \"Fetch\"\n },\n {\n \"question_id\": \"99663\",\n \"answer\": \"Scout.\"\n },\n {\n \"question_id\": \"99664\",\n \"answer\": \"Emile.\"\n },\n {\n \"question_id\": \"99665\",\n \"answer\": \"George.\"\n },\n {\n \"question_id\": \"99666\",\n \"answer\": \"Barbara\"\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 Warner Bros. Entertainment Inc. (previously incorporated as Warner Brothers Pictures, Inc. and colloquially known as Warner Bros. and Warner Bros. Pictures) is an American entertainment company that is a division of Time Warner and is headquartered in Burbank, California. It is one of the \"Big Six\" major American film studios. \n\nWarner Bros. is a member of the Motion Picture Association of America (MPAA). \n\nThe company's name originated from the four founding Warner brothers (born \"Wonskolaser\" or \"Wonsal\" before Anglicization): Harry, Albert, Sam, and Jack Warner. They emigrated as young children with their parents to Canada from Krasnosielc which was located in the part of Congress Poland that had been subjugated to the Russian Empire following the eighteenth-century Partitions of Poland near present-day Ostrołęka. \n\nJack, the youngest, was born in London, Ontario. The three elder brothers began in the movie theater business, having acquired a movie projector with which they showed films in the mining towns of Pennsylvania and Ohio. In the beginning, Sam and Albert Warner invested $150 to present \"Life of an American Fireman\" and \"The Great Train Robbery\". They opened their first theater, the Cascade, in New Castle, Pennsylvania, in 1903. \n\nWhen the original building was in danger of being demolished, the modern Warner Bros. called the current building owners, and arranged to save it. The owners noted people across the country had asked them to protect it for its historical significance.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38806\": \"What is Warner Bros. a member of?\"\n },\n {\n \"38807\": \"What is it?\"\n },\n {\n \"38808\": \"What is Warner Bros.?\"\n },\n {\n \"38809\": \"What is it a division of?\"\n },\n {\n \"38810\": \"Where it it's main location?\"\n },\n {\n \"38811\": \"It is one of how many major American Film studios?\"\n },\n {\n \"38812\": \"How many founders are there?\"\n },\n {\n \"38813\": \"Are they related?\"\n },\n {\n \"38814\": \"How?\"\n },\n {\n \"38815\": \"What are their names?\"\n },\n {\n \"38816\": \"What are the other 3?\"\n },\n {\n \"38817\": \"Were they born in America?\"\n },\n {\n \"38818\": \"Where did they emigrate to as young children?\"\n },\n {\n \"38819\": \"from where?\"\n },\n {\n \"38820\": \"Who began in the movie theater business?\"\n },\n {\n \"38821\": \"What did they acquire to do so?\"\n },\n {\n \"38822\": \"What did they do with it?\"\n },\n {\n \"38823\": \"Where?\"\n },\n {\n \"38824\": \"In what 2 states?\"\n },\n {\n \"38825\": \"How much was Sam and Albert's original investment?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38806\",\n \"answer\": \"(MPAA).\"\n },\n {\n \"question_id\": \"38807\",\n \"answer\": \"Motion Picture Association of America\"\n },\n {\n \"question_id\": \"38808\",\n \"answer\": \"entertainment company\"\n },\n {\n \"question_id\": \"38809\",\n \"answer\": \"Time Warner\"\n },\n {\n \"question_id\": \"38810\",\n \"answer\": \"California.\"\n },\n {\n \"question_id\": \"38811\",\n \"answer\": \"yes, six\"\n },\n {\n \"question_id\": \"38812\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"38813\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"38814\",\n \"answer\": \"brothers\"\n },\n {\n \"question_id\": \"38815\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"38816\",\n \"answer\": \"Albert\"\n },\n {\n \"question_id\": \"38817\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38818\",\n \"answer\": \"Canada\"\n },\n {\n \"question_id\": \"38819\",\n \"answer\": \"Krasnosielc\"\n },\n {\n \"question_id\": \"38820\",\n \"answer\": \"three elder brothers\"\n },\n {\n \"question_id\": \"38821\",\n \"answer\": \"movie projector\"\n },\n {\n \"question_id\": \"38822\",\n \"answer\": \"showed films\"\n },\n {\n \"question_id\": \"38823\",\n \"answer\": \"mining towns\"\n },\n {\n \"question_id\": \"38824\",\n \"answer\": \"Pennsylvania and Ohio\"\n },\n {\n \"question_id\": \"38825\",\n \"answer\": \"$150\"\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 you need a job very much, you may end up taking one for which you are over qualified. Although you were initially grateful just to have the work, you now feel bored and depressed. Is there any way to change that? \n\nStart by changing your opinion, says Caitlin Kelly, the author of Malled, a book based on her experience as a sales clerk after losing her job in journalism. \"Don't focus on what you're not getting but what you are getting,\" she says. \"Be patient and work attentively with a wide range of people. It doesn't matter what the job is -there are always things you can learn and skills you can develop.\" \n\nHilary Pearl, the founder of a coaching firm, says, \"Tell yourself the current situation isn't the end of your career. Don't overdramatize the negative aspects but try to view the situation more philosophically: life has a series of stages, and this is one of them. Don't forget to study even in the worst stage.\" \n\nConsider that because you're overqualified, you may be able to learn or do things on the job that might not have been possible in a more demanding position, says Sarah Hathorn, the chief executive of Illustra Consulting. \"You could spend your extra time in learning different aspects of the business and teaching others in the organization,\" she says. \n\nIs it possible to make your work more challenging, even if your job responsibilities aren't likely to change? \n\nOf course, you may seek tasks and responsibilities that force you to learn something new or to work harder. \"You may be operating on autopilot right now, but chances are that people above you are stressed,\" Sarah Hathorn says. \" _ and let him know which projects or tasks you want to learn more about.\" \n\nAlways express your request positively, saying that you love new challenges, rather than complaining that you're bored and underused, says Ethun, the president of the Park Avenue Group. In your down time, educate yourself about the company and its industry. \"Read corporate information, analyst reports and related news articles,\" she says. \"If your boss accepts your suggestions, it will make you a more valuable employee.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89578\": \"Is this article about what to do when you are under qualified for a job?\"\n },\n {\n \"89579\": \"Who is the leader of Park Avenue Group?\"\n },\n {\n \"89580\": \"Does she believe you should complain about how bored you are?\"\n },\n {\n \"89581\": \"What should one say instead?\"\n },\n {\n \"89582\": \"What is one way someone could teach themselves more about a company?\"\n },\n {\n \"89583\": \"Would this make you more valuable?\"\n },\n {\n \"89584\": \"Why would someone take a job in which they were over qualified?\"\n },\n {\n \"89585\": \"How might someone feel after accepting such a position?\"\n },\n {\n \"89586\": \"What does Caitlin Kelly think is the first step in fixing the situation?\"\n },\n {\n \"89587\": \"Did she make a CD to discuss this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89578\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89579\",\n \"answer\": \"Ethun\"\n },\n {\n \"question_id\": \"89580\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89581\",\n \"answer\": \"say that you love new challenges\"\n },\n {\n \"question_id\": \"89582\",\n \"answer\": \"Read corporate information, analyst reports and related news articles\"\n },\n {\n \"question_id\": \"89583\",\n \"answer\": \"if your boss accepts your suggestions, yes\"\n },\n {\n \"question_id\": \"89584\",\n \"answer\": \"When your inneed of any job at all\"\n },\n {\n \"question_id\": \"89585\",\n \"answer\": \"Although you were initially grateful just to have the work, you now feel bored and depressed\"\n },\n {\n \"question_id\": \"89586\",\n \"answer\": \"Start by changing your opinion\"\n },\n {\n \"question_id\": \"89587\",\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 IX \n\nTHE SMITING OF AMON \n\nThat evening I sat ill at ease in my work-chamber in Seti's palace, making pretence to write, I who felt that great evils threatened my lord the Prince, and knew not what to do to turn them from him. The door opened, and old Pambasa the chamberlain appeared and addressed me by my new titles, saying that the Hebrew lady Merapi, who had been my nurse in sickness, wished to speak with me. Presently she came and stood before me. \n\n\"Scribe Ana,\" she said, \"I have but just seen my uncle Jabez, who has come, or been sent, with a message to me,\" and she hesitated. \n\n\"Why was he sent, Lady? To bring you news of Laban?\" \n\n\"Not so. Laban has fled away and none know where he is, and Jabez has only escaped much trouble as the uncle of a traitress by undertaking this mission.\" \n\n\"What is the mission?\" \n\n\"To pray me, if I would save myself from death and the vengeance of God, to work upon the heart of his Highness, which I know not how to do----\" \n\n\"Yet I think you might find means, Merapi.\" \n\n\"----save through you, his friend and counsellor,\" she went on, turning away her face. \"Jabez has learned that it is in the mind of Pharaoh utterly to destroy the people of Israel.\" \n\n\"How does he know that, Merapi?\" \n\n\"I cannot say, but I think all the Hebrews know. I knew it myself though none had told me. He has learned also that this cannot be done under the law of Egypt unless the Prince who is heir to the throne and of full age consents. Now I am come to pray you to pray the Prince not to consent.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24776\": \"What people all have a certain knowledge?\"\n },\n {\n \"24777\": \"What do they know?\"\n },\n {\n \"24778\": \"According to whom?\"\n },\n {\n \"24779\": \"Who agrees with this idea?\"\n },\n {\n \"24780\": \"Whose place did someone try to do their job in?\"\n },\n {\n \"24781\": \"Were they writing enthusiastically?\"\n },\n {\n \"24782\": \"What did they fear?\"\n },\n {\n \"24783\": \"Did someone enter?\"\n },\n {\n \"24784\": \"Who?\"\n },\n {\n \"24785\": \"What was her job?\"\n },\n {\n \"24786\": \"What did she want?\"\n },\n {\n \"24787\": \"Who had Merapi recently interacted with?\"\n },\n {\n \"24788\": \"Are they related?\"\n },\n {\n \"24789\": \"How so?\"\n },\n {\n \"24790\": \"Who had run and is missing?\"\n },\n {\n \"24791\": \"How has her relative avoided problems?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24776\",\n \"answer\": \"Hebrews\"\n },\n {\n \"question_id\": \"24777\",\n \"answer\": \"that Pharoah wishes to destroy Hebrews\"\n },\n {\n \"question_id\": \"24778\",\n \"answer\": \"Jabez\"\n },\n {\n \"question_id\": \"24779\",\n \"answer\": \"Merapi\"\n },\n {\n \"question_id\": \"24780\",\n \"answer\": \"Seti's\"\n },\n {\n \"question_id\": \"24781\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24782\",\n \"answer\": \"threats to his Prince\"\n },\n {\n \"question_id\": \"24783\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24784\",\n \"answer\": \"Pambasa\"\n },\n {\n \"question_id\": \"24785\",\n \"answer\": \"chamberlain\"\n },\n {\n \"question_id\": \"24786\",\n \"answer\": \"to announce Merapi\"\n },\n {\n \"question_id\": \"24787\",\n \"answer\": \"Jabez\"\n },\n {\n \"question_id\": \"24788\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24789\",\n \"answer\": \"Jabez is her uncle\"\n },\n {\n \"question_id\": \"24790\",\n \"answer\": \"Laban\"\n },\n {\n \"question_id\": \"24791\",\n \"answer\": \"by sending Merapi to plead\"\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) -- Tyler Perry has, for the first time, revealed graphic details about the sexual, physical and emotional abuse he says he suffered as a child. \n\n\"I'm tired of holding this in,\" Tyler Perry wrote on his Web site, \"... so I've decided to give some away.\" \n\nPerry recounts in a message posted on his Web site and in an e-mail to fans that a prescreening of the film \"Precious,\" due out later this year, dislodged \"some raw emotions and brought me to some things and places in my life that I needed to deal with but had long forgotten. It brought back memories so strong that I can smell and taste them.\" \n\nPerry is an executive producer of the movie, which tells the tale of Claireece \"Precious\" Jones, an illiterate, obese 16-year-old girl from Harlem who is emotionally and physically abused. \n\nThe 40-year-old producer says he can identify with the character, and he recalls a number of incidents from his childhood. \n\nEmmitt Perry Sr., a construction worker, uttered profane insults at him and relentlessly beat and belittled him, Perry says. The random, violent beatings were commonplace until Perry was 19, he said. \n\n\"You ... jackass! You got book sense but you ain't got no ... common sense,\" he quotes his father as saying. \n\n\"I heard this every day of my childhood,\" says Perry. \n\nAttempts to reach Emmitt Perry Sr. for comment were unsuccessful. \n\nTyler Perry was born Emmitt Perry Jr. but changed his name to distance himself from his father. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90081\": \"Who is the executive producer of Precious?\"\n },\n {\n \"90082\": \"Who is the movie about?\"\n },\n {\n \"90083\": \"Where is she from?\"\n },\n {\n \"90084\": \"How old is she?\"\n },\n {\n \"90085\": \"Was she abused?\"\n },\n {\n \"90086\": \"What kind of abuse?\"\n },\n {\n \"90087\": \"Can she read?\"\n },\n {\n \"90088\": \"Is she overweight?\"\n },\n {\n \"90089\": \"Was Perry abused?\"\n },\n {\n \"90090\": \"What kind did he go through?\"\n },\n {\n \"90091\": \"What brought these memories up?\"\n },\n {\n \"90092\": \"Of what?\"\n },\n {\n \"90093\": \"What is Perry's birth name?\"\n },\n {\n \"90094\": \"Who is he named after?\"\n },\n {\n \"90095\": \"Is that his father?\"\n },\n {\n \"90096\": \"Who abused him?\"\n },\n {\n \"90097\": \"How old was he when it stopped?\"\n },\n {\n \"90098\": \"What did he call him?\"\n },\n {\n \"90099\": \"What did he tell him he was lacking?\"\n },\n {\n \"90100\": \"How often did he say it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90081\",\n \"answer\": \"Perry\"\n },\n {\n \"question_id\": \"90082\",\n \"answer\": \"Claireece \\\"Precious\\\" Jones\"\n },\n {\n \"question_id\": \"90083\",\n \"answer\": \"Harlem\"\n },\n {\n \"question_id\": \"90084\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"90085\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90086\",\n \"answer\": \"emotional and physical\"\n },\n {\n \"question_id\": \"90087\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90088\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90089\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90090\",\n \"answer\": \"sexual, physical and emotional\"\n },\n {\n \"question_id\": \"90091\",\n \"answer\": \"a prescreening\"\n },\n {\n \"question_id\": \"90092\",\n \"answer\": \"Precious\"\n },\n {\n \"question_id\": \"90093\",\n \"answer\": \"Emmitt Perry Jr.\"\n },\n {\n \"question_id\": \"90094\",\n \"answer\": \"Emmitt Perry Sr.\"\n },\n {\n \"question_id\": \"90095\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90096\",\n \"answer\": \"Emmitt Perry Sr.\"\n },\n {\n \"question_id\": \"90097\",\n \"answer\": \"19\"\n },\n {\n \"question_id\": \"90098\",\n \"answer\": \"jackass\"\n },\n {\n \"question_id\": \"90099\",\n \"answer\": \"common sense\"\n },\n {\n \"question_id\": \"90100\",\n \"answer\": \"every 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 (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 (CNN) -- International aid workers scrambling to get into Haiti face a series of obstacles, from an airport that is already overwhelmed to blocked roads and a lack of communication, electricity, food and water. \n\nAnd, as if that weren't enough, they will encounter a serious crime problem, a veteran disaster relief specialist told CNN. \n\n\"Security now in this particular crisis has already been raised as a major, major issue,\" said Paul Sherlock, a senior humanitarian representative for Oxfam. \n\n\"If you'd been in Haiti 25 years ago, even in Papa Doc's time, it was a pretty nasty dictatorship, and lots of people were killed. But infrastructure and services worked better then than they do now,\" he said. \n\nFrancois \"Papa Doc\" Duvalier was president from 1957 to 1971. \n\n\"It was safer to use public transport then than it was last year, certainly in terms of crime,\" he said. \n\n\"Over the last 10, 15, 20 years, the gangs and the drug culture have taken hold of Haiti, and that is why over the last four to five years, the United Nations has been trying to administer security in the capital and all the provincial cities as well,\" he said. \n\nNongovernmental organization workers \"have not been using public transport or taxis because of the security risk they face. International aid workers certainly didn't.\" \n\nAid workers on their way to Haiti now are not sure how to ensure their safety, he said. \n\nSome are \"probably using U.N. military as escorts, but many NGOs are uncomfortable using any military escort. They have been going to the police, but I don't know, after what has happened, whether the police are in any better position to provide it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73184\": \"Is public transportation safe in Haiti?\"\n },\n {\n \"73185\": \"What kind of workers are going to Haiti?\"\n },\n {\n \"73186\": \"What are they up against?\"\n },\n {\n \"73187\": \"How is communication in the area?\"\n },\n {\n \"73188\": \"Is the enough power?\"\n },\n {\n \"73189\": \"What about food and water?\"\n },\n {\n \"73190\": \"Are all the roads passable?\"\n },\n {\n \"73191\": \"How is the airport faring?\"\n },\n {\n \"73192\": \"Who is Papa Doc?\"\n },\n {\n \"73193\": \"Where?\"\n },\n {\n \"73194\": \"What type of government did he run?\"\n },\n {\n \"73195\": \"How did services compare from then to now?\"\n },\n {\n \"73196\": \"Who might some be using to help protect them?\"\n },\n {\n \"73197\": \"Who do a lot of NGOs turn to?\"\n },\n {\n \"73198\": \"Are the going to be able to help?\"\n },\n {\n \"73199\": \"What has become a problem over the past decades?\"\n },\n {\n \"73200\": \"What else?\"\n },\n {\n \"73201\": \"How long has the UN tried to help?\"\n },\n {\n \"73202\": \"Where are they helping with security?\"\n },\n {\n \"73203\": \"How will Aid workers stay safe?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73184\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73185\",\n \"answer\": \"International aid workers\"\n },\n {\n \"question_id\": \"73186\",\n \"answer\": \"a series of obstacles\"\n },\n {\n \"question_id\": \"73187\",\n \"answer\": \"lack of communication\"\n },\n {\n \"question_id\": \"73188\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73189\",\n \"answer\": \"lack of food and water.\"\n },\n {\n \"question_id\": \"73190\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73191\",\n \"answer\": \"overwhelmed\"\n },\n {\n \"question_id\": \"73192\",\n \"answer\": \"president from 1957 to 1971\"\n },\n {\n \"question_id\": \"73193\",\n \"answer\": \"Haiti\"\n },\n {\n \"question_id\": \"73194\",\n \"answer\": \"dictatorship\"\n },\n {\n \"question_id\": \"73195\",\n \"answer\": \"worked better\"\n },\n {\n \"question_id\": \"73196\",\n \"answer\": \"U.N. military\"\n },\n {\n \"question_id\": \"73197\",\n \"answer\": \"police\"\n },\n {\n \"question_id\": \"73198\",\n \"answer\": \"I don't know\"\n },\n {\n \"question_id\": \"73199\",\n \"answer\": \"drug culture\"\n },\n {\n \"question_id\": \"73200\",\n \"answer\": \"serious crime problem\"\n },\n {\n \"question_id\": \"73201\",\n \"answer\": \"last four to five years\"\n },\n {\n \"question_id\": \"73202\",\n \"answer\": \"in the capital and all the provincial cities\"\n },\n {\n \"question_id\": \"73203\",\n \"answer\": \"not sure how to ensure their safet\"\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) -- World number one Serena Williams put her recent controversies to one side as she cruised past Mandy Minella of Luxembourg 6-1 6-3 in the first round at Wimbledon. \n\nWorryingly for her opponents, the defending champion -- who won every point on her serve in the first set -- said she wasn't at the top of her game despite winning her 32nd consecutive match. \n\nThe run is the best since 2008, when Belgium's Justine Henin achieved a similar number of straight wins. \n\nSerena is now just three wins away from the women's record, which is something of a family affair after elder sister Venus recorded her 35th unbeaten game in 2000. \n\nThe world No. 1 will break that record if she reaches the quarterfinals at a venue where she also won Olympic gold last year. \n\n\"I feel like I was a little rusty for some reason today,\" Serena, who is bidding for a sixth Wimbledon title, told reporters after a victory that took just 57 minutes. \n\n\"I don't feel like I played my best tennis. I felt really upset when I lost my serve at the beginning in the second set - that said, I think Mandy played really well.\" \n\n\"To be honest, I'm a little excited I was able to play a tough match and get through it.\" \n\nThe past week certainly hasn't been as smooth as Serena would have liked after becoming embroiled in a row with Maria Sharapova and having to defend comments made in an article that appeared in Rolling Stone magazine. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83468\": \"Who won the first round at Wimbledon?\"\n },\n {\n \"83469\": \"Who did she beat?\"\n },\n {\n \"83470\": \"What did Williams say about it?\"\n },\n {\n \"83471\": \"When did she win gold?\"\n },\n {\n \"83472\": \"Who did she get stuck in a fight with?\"\n },\n {\n \"83473\": \"What magazine were comments about her in?\"\n },\n {\n \"83474\": \"Did she call it an easy match?\"\n },\n {\n \"83475\": \"What did she say?\"\n },\n {\n \"83476\": \"What did she say about her opponent?\"\n },\n {\n \"83477\": \"How long did the game last?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83468\",\n \"answer\": \"serena williams\"\n },\n {\n \"question_id\": \"83469\",\n \"answer\": \"Mandy Minella\"\n },\n {\n \"question_id\": \"83470\",\n \"answer\": \"she wasn't at the top of her game\"\n },\n {\n \"question_id\": \"83471\",\n \"answer\": \"last year.\"\n },\n {\n \"question_id\": \"83472\",\n \"answer\": \"Maria Sharapova\"\n },\n {\n \"question_id\": \"83473\",\n \"answer\": \"Rolling Stone\"\n },\n {\n \"question_id\": \"83474\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"83475\",\n \"answer\": \"she felt a little rusty\"\n },\n {\n \"question_id\": \"83476\",\n \"answer\": \"that she played well\"\n },\n {\n \"question_id\": \"83477\",\n \"answer\": \"57 minutes.\"\n }\n]\n" } ]