conversations
listlengths 3
3
|
|---|
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Laura and Graham were having a party for their good friend Judy. Judy had graduated high school and they wanted to show her how proud they were of her, and Judy would be moving far away at the end of the year. Judy was going to college to become a doctor. She thought about becoming a lawyer or an engineer. She even thought about being a scientist. Judy would be bringing her friend Mike. There wouldn't be many people at the party, since this was a celebration with close friends. Laura set out drinks and snacks for Judy and the other guests. The snacks she set out were salty pretzels.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86704\": \"Who was throwing a party?\"\n },\n {\n \"86705\": \"For who?\"\n },\n {\n \"86706\": \"What for?\"\n },\n {\n \"86707\": \"Is she planning on staying near her friends?\"\n },\n {\n \"86708\": \"Was the party huge and loud?\"\n },\n {\n \"86709\": \"Where is she going?\"\n },\n {\n \"86710\": \"To become an engineer?\"\n },\n {\n \"86711\": \"What is she going for?\"\n },\n {\n \"86712\": \"Who did she bring to the party?\"\n },\n {\n \"86713\": \"Who sat out the drinks and snacks?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86704\",\n \"answer\": \"Laura and Graham\"\n },\n {\n \"question_id\": \"86705\",\n \"answer\": \"Judy\"\n },\n {\n \"question_id\": \"86706\",\n \"answer\": \"Judy's graduation.\"\n },\n {\n \"question_id\": \"86707\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86708\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86709\",\n \"answer\": \"to college\"\n },\n {\n \"question_id\": \"86710\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86711\",\n \"answer\": \"To be a doctor\"\n },\n {\n \"question_id\": \"86712\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"86713\",\n \"answer\": \"Laura\"\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 Children can spend hours a day looking at computer screens and other digital devices . Some eye doctors say this leads to an increase in \"computer vision syndrome .\" Nathan Bonilla-Warford is an optometrist in Tampa, Florida. He has seen an increase in problems in children. \"A lot more children come into the office either because their parents have noticed that they have headaches or red or watery eyes or discomfort, or because their nearsightedness appears to be increasing and they're worried,\" he says. Dr. Bonilla-Warford says part of the problem is that children may be more likely to pay no attention to early warning signs than adults. \"Even if their eyes start to feel uncomfortable or they start to get a headache, they're less likely to tell their parents, because they don't want to have the game or the computer or whatever taken away,\" he explains. He says another part of the problem is that people blink less often when they use digital devices. He says, \"A person who uses an electronic device blinks about one third as much as we normally do in everyday life. And so that can result in the front part of the eye drying and not staying protected like normal.\" Eye doctors offer suggestions like following which is known as the 20/20/20 rule. That means every twenty minutes look away twenty feet or more for at least twenty seconds from whatever device you're using. Other suggestions include putting more distance between you and the device and using good lighting. Of course, another way is to spend less time looking at screens. Many experts say children should spend no more than two hours a day using digital devices--with no screen time for children under two. But not all eye doctors have noticed an increase in problems in children. Dr. David Hunter, from Children's Hospital Boston, has not seen an increase in his practice. \"While it is possible to develop _ looking at screens for a long period of time, there's certainly no proof that it actually causes any damage to the eyes.\" he says.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42622\": \"Who is in Tampa?\"\n },\n {\n \"42623\": \"Is he a dentist there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42622\",\n \"answer\": \"Nathan Bonilla-Warford\"\n },\n {\n \"question_id\": \"42623\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The James Bond series focuses on a fictional British Secret Service agent created in 1953 by writer Ian Fleming, who featured him in twelve novels and two short-story collections. Since Fleming's death in 1964, eight other authors have written authorised Bond novels or novelizations: Kingsley Amis, Christopher Wood, John Gardner, Raymond Benson, Sebastian Faulks, Jeffery Deaver, William Boyd and Anthony Horowitz. The latest novel is \"Trigger Mortis\" by Anthony Horowitz, published in September 2015. Additionally Charlie Higson wrote a series on a young James Bond, and Kate Westbrook wrote three novels based on the diaries of a recurring series character, Moneypenny. \n\nThe character has also been adapted for television, radio, comic strip, video games and film. The films are the longest continually running film series of all time and have grossed over $7.040 billion in total, making it the fourth-highest-grossing film series to date, which started in 1962 with \"Dr. No\", starring Sean Connery as Bond. As of 2017, there have been twenty-four films in the Eon Productions series. The most recent Bond film, \"Spectre\" (2015), stars Daniel Craig in his fourth portrayal of Bond; he is the sixth actor to play Bond in the Eon series. There have also been two independent productions of Bond films: \"Casino Royale\" (a 1967 spoof) and \"Never Say Never Again\" (a 1983 remake of an earlier Eon-produced film, \"Thunderball\"). In 2015, the franchise was estimated to be worth $19.9 billion, making \"James Bond\" one of the highest-grossing media franchises of all time.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75570\": \"Who wrote The James Bond series?\"\n },\n {\n \"75571\": \"When was the character created?\"\n },\n {\n \"75572\": \"What are the stories about?\"\n },\n {\n \"75573\": \"How many novels are there?\"\n },\n {\n \"75574\": \"Is Fleming still alive?\"\n },\n {\n \"75575\": \"What year did he pass?\"\n },\n {\n \"75576\": \"Has anyone else written Bond stories?\"\n },\n {\n \"75577\": \"Who has most recently?\"\n },\n {\n \"75578\": \"What is the name of his book?\"\n },\n {\n \"75579\": \"What date did it come out?\"\n },\n {\n \"75580\": \"Who wrote about a character called Moneypenny?\"\n },\n {\n \"75581\": \"What kind of stories did Charlie Higson write about?\"\n },\n {\n \"75582\": \"Is the character only seen in books?\"\n },\n {\n \"75583\": \"What other media can you find him?\"\n },\n {\n \"75584\": \"How much money has the movies made?\"\n },\n {\n \"75585\": \"When was the first movie released?\"\n },\n {\n \"75586\": \"What was it called?\"\n },\n {\n \"75587\": \"Who played bond?\"\n },\n {\n \"75588\": \"How many films have been made?\"\n },\n {\n \"75589\": \"What is the most recent?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75570\",\n \"answer\": \"Ian Fleming\"\n },\n {\n \"question_id\": \"75571\",\n \"answer\": \"1953\"\n },\n {\n \"question_id\": \"75572\",\n \"answer\": \"a fictional British Secret Service agent\"\n },\n {\n \"question_id\": \"75573\",\n \"answer\": \"twelve\"\n },\n {\n \"question_id\": \"75574\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75575\",\n \"answer\": \"1964\"\n },\n {\n \"question_id\": \"75576\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75577\",\n \"answer\": \"Anthony Horowitz\"\n },\n {\n \"question_id\": \"75578\",\n \"answer\": \"Trigger Mortis\"\n },\n {\n \"question_id\": \"75579\",\n \"answer\": \"September 2015\"\n },\n {\n \"question_id\": \"75580\",\n \"answer\": \"Kate Westbrook\"\n },\n {\n \"question_id\": \"75581\",\n \"answer\": \"a young James Bond\"\n },\n {\n \"question_id\": \"75582\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75583\",\n \"answer\": \"television, radio, comic strip, video games and film\"\n },\n {\n \"question_id\": \"75584\",\n \"answer\": \"over $7.040 billion\"\n },\n {\n \"question_id\": \"75585\",\n \"answer\": \"1962\"\n },\n {\n \"question_id\": \"75586\",\n \"answer\": \"Dr. No\"\n },\n {\n \"question_id\": \"75587\",\n \"answer\": \"Sean Connery\"\n },\n {\n \"question_id\": \"75588\",\n \"answer\": \"twenty-four\"\n },\n {\n \"question_id\": \"75589\",\n \"answer\": \"Spectre\"\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 Professional wrestling (colloquially abbreviated to pro wrestling or wrestling) is an athletic form of entertainment based on a portrayal of a combat sport. Taking the form of live events held by touring promotions, it portrays a unique style of combat based on a combination of adopted styles, which include classical wrestling, catch wrestling and various forms of martial arts, as well as an innovative style based on grappling (holds/throws), striking, and aerialism. Various forms of weaponry are sometimes used. \n\nThe content including match outcomes is choreographed and the combative actions and reactions are executed in special manners designed to both protect from, yet simulate, pain. These facts were once kept highly secret, but they are now openly declared as the truth. By and large, the true nature of the content is ignored by the performing promotion in official media in order to sustain and promote the willing suspension of disbelief for the audience by maintaining an aura of verisimilitude. Fan communications by individual wrestlers and promotions through outside media (i.e., interviews) will often directly acknowledge the fictional nature of the spectacle.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66112\": \"What is professional wrestling?\"\n },\n {\n \"66113\": \"What will directly acknowledge the fictional nature of it?\"\n },\n {\n \"66114\": \"Is weaponry used?\"\n },\n {\n \"66115\": \"What does it portray?\"\n },\n {\n \"66116\": \"What is choreographed?\"\n },\n {\n \"66117\": \"What are teh combative actions and reactions designed to protect from and simulate?\"\n },\n {\n \"66118\": \"Were these facts always known?\"\n },\n {\n \"66119\": \"What is professional wrestling abbreviated to?\"\n },\n {\n \"66120\": \"What are some of the adopted styles?\"\n },\n {\n \"66121\": \"What is ignored by and large?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66112\",\n \"answer\": \"athletic form of entertainment\"\n },\n {\n \"question_id\": \"66113\",\n \"answer\": \"interviews\"\n },\n {\n \"question_id\": \"66114\",\n \"answer\": \"sometimes\"\n },\n {\n \"question_id\": \"66115\",\n \"answer\": \"unique style of combat\"\n },\n {\n \"question_id\": \"66116\",\n \"answer\": \"the content\"\n },\n {\n \"question_id\": \"66117\",\n \"answer\": \"pain\"\n },\n {\n \"question_id\": \"66118\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66119\",\n \"answer\": \"pro wrestling or wrestling\"\n },\n {\n \"question_id\": \"66120\",\n \"answer\": \"classical wrestling, catch wrestling and martial arts\"\n },\n {\n \"question_id\": \"66121\",\n \"answer\": \"the true nature of the content\"\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 almost summer time. Spring has been very long and very rainy. Winter was very warm and very long. In the winter the snows falls on the ground. It covers all the grass. It covers all the trees. It covers all the flowers. \n\nIn the winter, the chipmunk goes to sleep. The chipmunk works all summer long to gather enough food for the winter. The chipmunk gathers berries. The chipmunk gathers pine cones. The chipmunk drops the pine cones off our roof and rolls them to her favorite hiding place. Boom! Boom! Boom! The pine cones sound so loud when they drop off the roof! \n\nThe snow melts away in the spring. It is off the ground in our yard by the month of May. In June, there is still snow on the mountains. The snow on the mountains is still there until July. \n\nIn May the grass starts to grow. In June, the flowers bloom again. In July, we go swimming in the lake. \n\nWe get to play all summer. We do not have to go to school. We do not have to gather pine cones for food. We get to play outside and we get to have cook outs. We are not chipmunks. We are children. \n\nOur mom makes us lemonade in the summer time. Our mom takes us to the beach. Our mom lets us have a lot of campfires. Our mom mows the lawn. \n\nIt is summer time and now we play for 90 days and the chipmunk works for 90 days. \n\nIn the winter we work and go to school and the chipmunk gets to sleep. \n\nI am glad it is summer and I am glad that I am a human child and not a chipmunk. I am glad that we get to be awake through all the seasons. \n\nI like spring. I like fall. I like winter. My favorite time of all is, for sure, summer!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63924\": \"What season is coming?\"\n },\n {\n \"63925\": \"When does the lawn grow?\"\n },\n {\n \"63926\": \"When does the animal sleep?\"\n },\n {\n \"63927\": \"How many months are named?\"\n },\n {\n \"63928\": \"When do we not go to class?\"\n },\n {\n \"63929\": \"What are we?\"\n },\n {\n \"63930\": \"And what do we do in winter?\"\n },\n {\n \"63931\": \"What do we drink?\"\n },\n {\n \"63932\": \"Who does things for us in summer?\"\n },\n {\n \"63933\": \"Does she cut the grass?\"\n },\n {\n \"63934\": \"What was spring?\"\n },\n {\n \"63935\": \"And winter?\"\n },\n {\n \"63936\": \"What shrouds everything?\"\n },\n {\n \"63937\": \"What does the chipmunk do when it warms up?\"\n },\n {\n \"63938\": \"What makes the loud sound?\"\n },\n {\n \"63939\": \"Who drops them?\"\n },\n {\n \"63940\": \"Where are they taking them?\"\n },\n {\n \"63941\": \"What are they falling from?\"\n },\n {\n \"63942\": \"What else do they collect?\"\n },\n {\n \"63943\": \"What is great about being human?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63924\",\n \"answer\": \"summer\"\n },\n {\n \"question_id\": \"63925\",\n \"answer\": \"May\"\n },\n {\n \"question_id\": \"63926\",\n \"answer\": \"in the winter\"\n },\n {\n \"question_id\": \"63927\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"63928\",\n \"answer\": \"summer\"\n },\n {\n \"question_id\": \"63929\",\n \"answer\": \"humans\"\n },\n {\n \"question_id\": \"63930\",\n \"answer\": \"we work and go to school\"\n },\n {\n \"question_id\": \"63931\",\n \"answer\": \"lemonade\"\n },\n {\n \"question_id\": \"63932\",\n \"answer\": \"Our mom\"\n },\n {\n \"question_id\": \"63933\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63934\",\n \"answer\": \"it was very long and very rainy.\"\n },\n {\n \"question_id\": \"63935\",\n \"answer\": \"Winter was very warm and very long\"\n },\n {\n \"question_id\": \"63936\",\n \"answer\": \"snow\"\n },\n {\n \"question_id\": \"63937\",\n \"answer\": \"in the spring\"\n },\n {\n \"question_id\": \"63938\",\n \"answer\": \"The pine cones\"\n },\n {\n \"question_id\": \"63939\",\n \"answer\": \"The chipmunk\"\n },\n {\n \"question_id\": \"63940\",\n \"answer\": \"her favorite hiding place\"\n },\n {\n \"question_id\": \"63941\",\n \"answer\": \"from off our roof\"\n },\n {\n \"question_id\": \"63942\",\n \"answer\": \"berries\"\n },\n {\n \"question_id\": \"63943\",\n \"answer\": \"we get to be awake through all the seasons.\"\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 a surprising result, the No. 69 Middle School girls' football team yesterday beat their school's boys' team. The boys' team often helped the girls with their training . They had never lost to the girls before, but this time the girls beat them 4 -- 3. After the game, Wu Nai, head of the boys' team, was very unhappy. \"We all thought this would be an easy game,\" he said. \"We never thought a team of girls could beat us. This is the saddest day of my life. \" But Mr Hu, the boys' PE teacher, said he thought the girls should win. \"The boys were too confident ,\" he said. \"I told them before the match that they needed to play well. They all thought that girls' football was a joke. Now they know better. They didn't play carefully, and they lost.\" The match had started well for the boys. After 30 minutes, they were winning 2 - 0. Their best player, Lu Ming, scored in the thirtieth minute. Earlier, the mid-field player, Ma Zhengquan, had scored the first goal in only the second minute of the match. After the first half hour, the boys seemed to become too confident. At first, the girls had felt a bit nervous , but then they became more and more confident. Just before half time, Li Xiaolin made the score 2 - 1. In the second half, the boys were the first to score. It was from Lu Ming. After that the boys became lazy, but the girls kept on working hard. Hao Meiling scored in the 68th minute, to make the score 3 -- 2. Then Li Xiaolin scored twice in the last six minutes to make the last score 4-3. It was a surprising finish. The girls' PE teacher, Miss Wang, was very pleased with their work. \"They were great!\" She said. \"I told them they could win. I told them that the most important thing was teamwork. The boys' team had some good players, but my girls were a better team!\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61437\": \"Who beat the schools boys team in football?\"\n },\n {\n \"61438\": \"Who scored twice in the last 6 miniutes?\"\n },\n {\n \"61439\": \"What as the score after 30 minutes?\"\n },\n {\n \"61440\": \"Was the head of the boys team happy aftery the game?\"\n },\n {\n \"61441\": \"Did he think it would be an easy game?\"\n },\n {\n \"61442\": \"Why did Mr. Hu think the girls deserved to win?\"\n },\n {\n \"61443\": \"Were the girls confident playing from the begining of the game?\"\n },\n {\n \"61444\": \"Who scored first in the second half?\"\n },\n {\n \"61445\": \"Who scored in the 68th minute?\"\n },\n {\n \"61446\": \"What was the final score of the ,game?\"\n },\n {\n \"61447\": \"Had the boys ever lost to the girls before?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61437\",\n \"answer\": \"the No. 69 Middle School girls' football team\"\n },\n {\n \"question_id\": \"61438\",\n \"answer\": \"Li Xiaolin\"\n },\n {\n \"question_id\": \"61439\",\n \"answer\": \"2 - 0.\"\n },\n {\n \"question_id\": \"61440\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61441\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"61442\",\n \"answer\": \"The boys didn't play carefully\"\n },\n {\n \"question_id\": \"61443\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61444\",\n \"answer\": \"the boys did\"\n },\n {\n \"question_id\": \"61445\",\n \"answer\": \"Hao Meiling\"\n },\n {\n \"question_id\": \"61446\",\n \"answer\": \"4-3.\"\n },\n {\n \"question_id\": \"61447\",\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 Adult contemporary music (AC) is a style of music, ranging from 1960s vocal and 1970s soft rock music to predominantly ballad-heavy music of the present day, with varying degrees of easy listening, pop, soul, rhythm and blues, quiet storm, and rock influence. Adult contemporary is rather a continuation of the easy listening and soft rock style that became popular in the 1960s and 1970s with some adjustments that reflect the evolution of pop/rock music. \n\nAdult contemporary tends to have lush, soothing and highly polished qualities where emphasis on melody and harmonies is accentuated. It is usually melodic enough to get a listener's attention, and is inoffensive and pleasurable enough to work well as background music. Like most of pop music, its songs tend to be written in a basic format employing a verse–chorus structure. \n\nAdult contemporary is heavy on romantic sentimental ballads which mostly use acoustic instruments (though bass guitar is usually used) such as acoustic guitars, pianos, saxophones, and sometimes an orchestral set. The electric guitars are normally faint and high-pitched. However, recent adult contemporary music may usually feature synthesizers (and other electronics, such as drum machines).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65648\": \"What era does Adult contemporary cover?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65648\",\n \"answer\": \"The 1960s and 1970s.\"\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) -- David Cameron must have whiplash. Practically overnight this week, the British prime minister went from being one of the leading voices demanding that Syria's President Bashar al-Assad be punished for using chemical weapons, to a humbled, chastened politician with his hands tied. \n\nBritish lawmakers voted Thursday night against even the possibility of using force against Syria, forcing Cameron to concede bluntly, \"We will not be taking part in military action.\" \n\nWhat do Syria's neighbors think? \n\nThe vote was close -- seven MPs out of the 557 who voted could have changed the result -- and the outcome was a shock. Prime ministers aren't supposed to lose votes on the use of military force. British media said it hadn't happened in hundreds of years. \n\nBut although the result was stunning in one sense, in another it wasn't surprising. \n\nOver more than seven hours of debate on Syria loomed one chilling specter: Iraq. \n\nBergen: Syria is a problem from hell for the U.S. \n\nBritain feels badly burned by the way Tony Blair led the country into war there a decade ago, and Cameron was fighting a defensive battle against the memory of Blair from the moment he kicked off debate in the House of Commons: \"I'm deeply mindful of the lessons of previous conflicts, in particular the deep concerns of the country of what went wrong in Iraq. We're not invading a country; we're not searching for chemical weapons.\" \n\nIt's an argument he needed to make. \n\nWhy Russia, China, and Iran are standing by Syria \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89705\": \"Who must have whiplash?\"\n },\n {\n \"89706\": \"Who is he\"\n },\n {\n \"89707\": \"Are his hands tied?\"\n },\n {\n \"89708\": \"Was he demanding Bashar al-Assad be punished\"\n },\n {\n \"89709\": \"Who is that\"\n },\n {\n \"89710\": \"Who voted against the use of force\"\n },\n {\n \"89711\": \"When?\"\n },\n {\n \"89712\": \"against who?\"\n },\n {\n \"89713\": \"Was the vote close\"\n },\n {\n \"89714\": \"How many MPs voted\"\n },\n {\n \"89715\": \"What was the thing looming over the debate\"\n },\n {\n \"89716\": \"What was the specter?\"\n },\n {\n \"89717\": \"How many hours was that debate?\"\n },\n {\n \"89718\": \"How does Britain feel\"\n },\n {\n \"89719\": \"What did he do?\"\n },\n {\n \"89720\": \"Who was fighting a defensive battle?\"\n },\n {\n \"89721\": \"WHO was fighting a defensive battle?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89705\",\n \"answer\": \"David Cameron\"\n },\n {\n \"question_id\": \"89706\",\n \"answer\": \"British prime minister\"\n },\n {\n \"question_id\": \"89707\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89708\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89709\",\n \"answer\": \"British prime minister\"\n },\n {\n \"question_id\": \"89710\",\n \"answer\": \"British lawmakers\"\n },\n {\n \"question_id\": \"89711\",\n \"answer\": \"Thursday night\"\n },\n {\n \"question_id\": \"89712\",\n \"answer\": \"using force against Syria\"\n },\n {\n \"question_id\": \"89713\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89714\",\n \"answer\": \"557\"\n },\n {\n \"question_id\": \"89715\",\n \"answer\": \"Prime ministers aren't supposed to lose votes on the use of military force\"\n },\n {\n \"question_id\": \"89716\",\n \"answer\": \"Iraq.\"\n },\n {\n \"question_id\": \"89717\",\n \"answer\": \"Over more than seven hours\"\n },\n {\n \"question_id\": \"89718\",\n \"answer\": \"badly burned by the way Tony Blair\"\n },\n {\n \"question_id\": \"89719\",\n \"answer\": \"led the country into war there a decade ago\"\n },\n {\n \"question_id\": \"89720\",\n \"answer\": \"against the memory of Blair\"\n },\n {\n \"question_id\": \"89721\",\n \"answer\": \"Cameron\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\nIN WHICH DAVE IS ROBBED \n\nDave found himself in a decidedly unpleasant situation. The door of the room was locked and Tom Shocker stood against it. The man lit the gas, but allowed it to remain low. Dave saw Nat Poole standing close to a bed. The money-lender's son had a small bottle and some cotton in his hand. \n\n\"I suppose this is a trick?\" said Dave, as coolly as he could. \n\n\"Rather good one, too, isn't it?\" returned Nat, lightly. \n\n\"That depends on how you look at it, Nat. Did you forge Mr. Dale's name?\" \n\n\"Why--er--I--er----\" \n\n\"That isn't a nice business to be in.\" \n\n\"Humph! you needn't preach to me, Dave Porter! You played a dirty trick on me and I am going to pay you back.\" \n\n\"What are you going to do?\" \n\n\"You'll see soon enough.\" \n\n\"I want you to open that door!\" cried Dave, wheeling around and confronting Tom Shocker. \"Open it at once!\" \n\n\"This is none of my affair, Mr. Porter,\" answered the man, with a slight sneer. \"You can settle it with Mr. Poole.\" \n\n\"I'll settle with you, you rascal!\" cried Dave, and leaping forward he caught Tom Shocker by the shoulder and forced him aside. \"Give me that key!\" \n\n\"Don't you do it!\" cried Nat. \"Here, wait, I'll fix him! Hold him!\" \n\nNat poured some of the stuff in the bottle on the cotton and advanced on Dave. At the same time Tom Shocker caught Dave by both arms and essayed to hold him. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98219\": \"Who leapt forward?\"\n },\n {\n \"98220\": \"Who caught Dave by his arms?\"\n },\n {\n \"98221\": \"Was someone standing against the door?\"\n },\n {\n \"98222\": \"Who was close to the bed?\"\n },\n {\n \"98223\": \"What was the money-lender's holding?\"\n },\n {\n \"98224\": \"Was Nat holding the bottle?\"\n },\n {\n \"98225\": \"Who thought a trick was being played?\"\n },\n {\n \"98226\": \"What is Dave's last name?\"\n },\n {\n \"98227\": \"What did he exclaim he wanted open?\"\n },\n {\n \"98228\": \"Who did Nat go towards with the bottle?\"\n },\n {\n \"98229\": \"What kind of a situation did Dave find himself in?\"\n },\n {\n \"98230\": \"Was the gas high?\"\n },\n {\n \"98231\": \"Was anyone accused of forgery?\"\n },\n {\n \"98232\": \"Who?\"\n },\n {\n \"98233\": \"Whose name was forged?\"\n },\n {\n \"98234\": \"Did anyone have a gun?\"\n },\n {\n \"98235\": \"What did Nat pour the contents of the bottle on?\"\n },\n {\n \"98236\": \"Who ended up constraining Dave by the arms?\"\n },\n {\n \"98237\": \"Do we know why Dave wanted the door open?\"\n },\n {\n \"98238\": \"Who yelled out \\\"Here, wait, I'll fix him! Hold him!\\\" ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98219\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"98220\",\n \"answer\": \"Tom Shocker\"\n },\n {\n \"question_id\": \"98221\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98222\",\n \"answer\": \"Nat Poole\"\n },\n {\n \"question_id\": \"98223\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"98224\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98225\",\n \"answer\": \"Dave,\"\n },\n {\n \"question_id\": \"98226\",\n \"answer\": \"Porter\"\n },\n {\n \"question_id\": \"98227\",\n \"answer\": \"to open the door\"\n },\n {\n \"question_id\": \"98228\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"98229\",\n \"answer\": \"a decidedly unpleasant situation\"\n },\n {\n \"question_id\": \"98230\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98231\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98232\",\n \"answer\": \"Nat Poole\"\n },\n {\n \"question_id\": \"98233\",\n \"answer\": \"Mr Dale\"\n },\n {\n \"question_id\": \"98234\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"98235\",\n \"answer\": \"cotton\"\n },\n {\n \"question_id\": \"98236\",\n \"answer\": \"Tom Shocker\"\n },\n {\n \"question_id\": \"98237\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"98238\",\n \"answer\": \"Nat\"\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 Dupont Circle park in Washington DC is a busy, crowded place. Popular restaurants and businesses around the circle attract many city residents and visitors. But few people know about the old streetcar station below the street. Braulio Agnese is the Managing Director of an organization called Dupont Underground. The group wants to change the old station into a place for the arts.\"We see everything from site-specific art work, which fills the space in different ways, light and sound or appliances. Or it can be used like a traditional gallery. But also as a curved space, it offers a chance for new kinds of performance. DC has quite a few experimental theater groups that would like to work in an unusual space and do different kinds of production.\" \n\nThe system of tunnels was built in the late 1940s. But the streetcars only ran for a short time. They stopped running in the 1960s. Mr. Agnese says the station could become a symbol of how quickly Washington is changing.\"Changes in the last five or ten years have been tremendous. The restaurant scene is changing, new development, new opportunities. We think there is an opportunity to create something here that helps the city to move forward.\" \n\nDupont Underground is just one example of the trend toward giving a new purpose to unused industrial sites. In New York, builders want to make a forgotten street car garage into a park below the street. And New York already has the popular High Line Park. It was once an old railroad path. The question is -- can Dupont Underground be as successful? \n\nBill McLeod is Executive Director of Historic DuPont Circle Main Streets. The group helps small businesses in the DuPont Circle area. Mr. McLeod says the underground will fill a need in the area.\"I think there is definitely need for art space, or event space, in DuPont. And I think that will be the perfect space to activate because it's very large - it's 75 thousand square feet. Very cool, right?\" \n\nAnother organization tried to open a group of eating places in the space 15 years ago. That food court project failed. Mr. McLeod says the group leading the new effort has a better understanding of the project. He says the group knows it will take a lot of time and money and is successfully seeking financial support. Braulio Agnese and his co-workers hope to open the underground station to the public in the next few months.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66304\": \"Where is Dupont Circle?\"\n },\n {\n \"66305\": \"What is located there?\"\n },\n {\n \"66306\": \"What is there that not many know about?\"\n },\n {\n \"66307\": \"What is the name of the group who would like to see it utilized?\"\n },\n {\n \"66308\": \"For what?\"\n },\n {\n \"66309\": \"When were the under ground roads created?\"\n },\n {\n \"66310\": \"When were the street cars used?\"\n },\n {\n \"66311\": \"What trend are they gravitating toward?\"\n },\n {\n \"66312\": \"What is happening in the Big Apple?\"\n },\n {\n \"66313\": \"What other park have they already created?\"\n },\n {\n \"66314\": \"Has anyone in DC ever tried anything like this before?\"\n },\n {\n \"66315\": \"Did they succeed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66304\",\n \"answer\": \"in Washington DC\"\n },\n {\n \"question_id\": \"66305\",\n \"answer\": \"restaurants and businesses\"\n },\n {\n \"question_id\": \"66306\",\n \"answer\": \"the old streetcar station\"\n },\n {\n \"question_id\": \"66307\",\n \"answer\": \"Dupont Underground\"\n },\n {\n \"question_id\": \"66308\",\n \"answer\": \"the arts\"\n },\n {\n \"question_id\": \"66309\",\n \"answer\": \"in the late 1940s\"\n },\n {\n \"question_id\": \"66310\",\n \"answer\": \"up until the 1960s\"\n },\n {\n \"question_id\": \"66311\",\n \"answer\": \"giving a new purpose to unused industrial sites\"\n },\n {\n \"question_id\": \"66312\",\n \"answer\": \"builders want to make a forgotten street car garage into a park\"\n },\n {\n \"question_id\": \"66313\",\n \"answer\": \"High Line Park\"\n },\n {\n \"question_id\": \"66314\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66315\",\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 Cotton farmers in some Indian villages are busily buying Coca-Cola and Pepsi, believing that the sugar in the fizzy( ) drinks kills pests. \n\nFarmers say scientists advised them to mix pesticides with a sugary juice to control pests, and they found the mixture cheaper and more effective than pure chemicals-- although soft drink makers and scientists dismissed the remarks. N. Hamunayya, who has become a famous person in his village in the southeastern state of Andhra Pradesh, said his crop survived an attack of pests which had resisted other pesticides. \"We found that all the colas had uniform effect on pests. The pests became dead and fell to the ground, \"he said. He said the drinks had all the elements they needed : they were cheaper, sticky, fizzy, and attracted ants, which ate the young of the pests. But Thinupathi Reddy, assistant director of the Regional Agri-Research Station, Guntur, says tests had proved such results wrong. \"We conducted some field trials on cotton crop at our research station. There was no obvious productivity or destruction of pests, \"he says. \n\nStatements from Pepsi and Coca-Cola said there was \" no scientific basis\" for _ . But their dealers are enjoying increasing sales. Mantan Wall, who sells soft drinks in 17 villages in the region, said sales rose up, thanks to the farmers. \" For the 10 days between August and September I had successful business. Instead of just 30 cases( each containing a dozen one-litre bottles) of cola, I started selling almost 200 cases, \"he said. \" We expected the sales to drop after the news over pesticide residues( ) in the cola drinks. Now I have to keep extra supply for the cotton farmers, \"he said. \n\nIn February, an Indian environment group made a report saying drinks made by Coca-Cola and Pepsi contained pesticides and called for tougher safety standards. The U. S firms strongly rejected the findings of the New Delhi-based Centre for Science and Environment and said their products were safe.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22255\": \"What did an Indian report claim about cola products?\"\n },\n {\n \"22256\": \"Who are the makers of these products?\"\n },\n {\n \"22257\": \"What kind of organization made the report?\"\n },\n {\n \"22258\": \"When\"\n },\n {\n \"22259\": \"What is the name of the group?\"\n },\n {\n \"22260\": \"Who is refuting those claims?\"\n },\n {\n \"22261\": \"Where are they based?\"\n },\n {\n \"22262\": \"Who is stocking up on cola products?\"\n },\n {\n \"22263\": \"Where?\"\n },\n {\n \"22264\": \"What are they using it for?\"\n },\n {\n \"22265\": \"What were they told to combine pesticides with?\"\n },\n {\n \"22266\": \"Who told them that?\"\n },\n {\n \"22267\": \"Why are they using pop?\"\n },\n {\n \"22268\": \"What does the cola attract?\"\n },\n {\n \"22269\": \"What doe the ants consume?\"\n },\n {\n \"22270\": \"Whose crop made it through a pest attack with the help of cola?\"\n },\n {\n \"22271\": \"Had he tried other things?\"\n },\n {\n \"22272\": \"What?\"\n },\n {\n \"22273\": \"When is there a bump in sales?\"\n },\n {\n \"22274\": \"How many cases did one store sell during that period?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22255\",\n \"answer\": \"they contained pesticides\"\n },\n {\n \"question_id\": \"22256\",\n \"answer\": \"Coca-Cola and Pepsi\"\n },\n {\n \"question_id\": \"22257\",\n \"answer\": \"an environment group\"\n },\n {\n \"question_id\": \"22258\",\n \"answer\": \"In February\"\n },\n {\n \"question_id\": \"22259\",\n \"answer\": \"he New Delhi-based Centre for Science and Environment\"\n },\n {\n \"question_id\": \"22260\",\n \"answer\": \"Coca-Cola and Pepsi\"\n },\n {\n \"question_id\": \"22261\",\n \"answer\": \"The U. S\"\n },\n {\n \"question_id\": \"22262\",\n \"answer\": \"Cotton farmers\"\n },\n {\n \"question_id\": \"22263\",\n \"answer\": \"Indian villages\"\n },\n {\n \"question_id\": \"22264\",\n \"answer\": \"to kill pests\"\n },\n {\n \"question_id\": \"22265\",\n \"answer\": \"a sugary juice\"\n },\n {\n \"question_id\": \"22266\",\n \"answer\": \"scientists\"\n },\n {\n \"question_id\": \"22267\",\n \"answer\": \"it's cheaper\"\n },\n {\n \"question_id\": \"22268\",\n \"answer\": \"ants\"\n },\n {\n \"question_id\": \"22269\",\n \"answer\": \"the pest's young\"\n },\n {\n \"question_id\": \"22270\",\n \"answer\": \"N. Hamunayya's\"\n },\n {\n \"question_id\": \"22271\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22272\",\n \"answer\": \"other pesticides\"\n },\n {\n \"question_id\": \"22273\",\n \"answer\": \"August and September\"\n },\n {\n \"question_id\": \"22274\",\n \"answer\": \"300\"\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 Documentation is a set of documents provided on paper, or online, or on digital or analog media, such as audio tape or CDs. Examples are user guides, white papers, on-line help, quick-reference guides. It is becoming less common to see paper (hard-copy) documentation. Documentation is distributed via websites, software products, and other on-line applications. \n\nProfessionals educated in this field are termed documentalists. This field changed its name to information science in 1968, but some uses of the term documentation still exists and there have been efforts to reintroduce the term documentation as a field of study. \n\nWhile associated ISO standards are not easily available publicly, a guide from other sources for this topic may serve the purpose. . David Berger has provided several principles of document writing, regarding the terms used, procedure numbering and even lengths of sentences, etc. \n\nThe following is a list of guides dealing with each specific field and type: \n\nThe procedures of documentation vary from one sector, or one type, to another. In general, these may involve document drafting, formatting, submitting, reviewing, approving, distributing, reposting and tracking, etc., and are convened by associated SOPs in a regulatory industry. It could also involve creating content from scratch. Documentation should be easy to read and understand. If it's too long and too wordy, it may be misunderstood or ignored. Clear, Short, Familiar words should be used to a maximum of 15 words to a sentence. Only gender hyper neutral word should be used and cultural biases should be avoided. Procedures should be numbered when they are to be performed. .\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64307\": \"What is one example of digital analog?\"\n },\n {\n \"64308\": \"What is the main topic?\"\n },\n {\n \"64309\": \"Do people get educated for this?\"\n },\n {\n \"64310\": \"What are they called?\"\n },\n {\n \"64311\": \"Has it always been called this?\"\n },\n {\n \"64312\": \"What new name did it undertake?\"\n },\n {\n \"64313\": \"How is it distributed?\"\n },\n {\n \"64314\": \"Are there any other ways?\"\n },\n {\n \"64315\": \"Name another.\"\n },\n {\n \"64316\": \"What's the last\"\n },\n {\n \"64317\": \"Who came up with some principles on how to write docs?\"\n },\n {\n \"64318\": \"Are all the procedures associated with this the same in all sectors?\"\n },\n {\n \"64319\": \"What about this should be easy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"64307\",\n \"answer\": \"CDs.\"\n },\n {\n \"question_id\": \"64308\",\n \"answer\": \"Documentation\"\n },\n {\n \"question_id\": \"64309\",\n \"answer\": \"apparently yes\"\n },\n {\n \"question_id\": \"64310\",\n \"answer\": \"documentalists.\"\n },\n {\n \"question_id\": \"64311\",\n \"answer\": \"it was until 1968\"\n },\n {\n \"question_id\": \"64312\",\n \"answer\": \"information science\"\n },\n {\n \"question_id\": \"64313\",\n \"answer\": \"via websites\"\n },\n {\n \"question_id\": \"64314\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64315\",\n \"answer\": \"software products\"\n },\n {\n \"question_id\": \"64316\",\n \"answer\": \"other on-line applications.\"\n },\n {\n \"question_id\": \"64317\",\n \"answer\": \"David Berger\"\n },\n {\n \"question_id\": \"64318\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64319\",\n \"answer\": \"Documentation\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n St. John's (/ˌseɪntˈdʒɒnz/, local /ˌseɪntˈdʒɑːnz/) is the capital and largest city in Newfoundland and Labrador, Canada. St. John's was incorporated as a city in 1888, yet is considered by some to be the oldest English-founded city in North America. It is located on the eastern tip of the Avalon Peninsula on the island of Newfoundland. With a population of 214,285 as of July 1, 2015, the St. John's Metropolitan Area is the second largest Census Metropolitan Area (CMA) in Atlantic Canada after Halifax and the 20th largest metropolitan area in Canada. It is one of the world's top ten oceanside destinations, according to National Geographic Magazine. Its name has been attributed to the feast day of John the Baptist, when John Cabot was believed to have sailed into the harbour in 1497, and also to a Basque fishing town with the same name. \n\nSt. John's is one of the oldest settlements in North America, with year-round settlement beginning sometime after 1630 and seasonal habitation long before that. It is not, however, the oldest surviving English settlement in North America or Canada, having been preceded by the Cuper's Cove colony at Cupids, founded in 1610, and the Bristol's Hope colony at Harbour Grace, founded in 1618. In fact, although English fishermen had begun setting up seasonal camps in Newfoundland in the 16th Century, they were expressly forbidden by the British government, at the urging of the West Country fishing industry, from establishing permanent settlements along the English controlled coast, hence the town of St. John's was not established as a permanent community until after the 1630s at the earliest. Other permanent English settlements in the Americas that predate St. John's include: St. George's, Bermuda (1612) and Jamestown, Virginia (1607).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26774\": \"What's one of the oldest settlements in North America?\"\n },\n {\n \"26775\": \"When did year-round settlement there begin?\"\n },\n {\n \"26776\": \"Before the year-round settlement began sometime after 1630, did seasonal habitation start before then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26774\",\n \"answer\": \"St. John's\"\n },\n {\n \"question_id\": \"26775\",\n \"answer\": \"1497\"\n },\n {\n \"question_id\": \"26776\",\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 A bracket is a tall punctuation mark typically used in matched pairs within text, to set apart or interject other text. The matched pair may be described as opening and closing, or left and right symbols. \n\nForms include round (also called \"parentheses\"), square, curly (also called \"braces\"), and angle brackets (also called \"chevrons\"); and various other pairs of symbols. \n\nIn addition to referring to the class of all types of brackets, the unqualified word \"bracket\" is most commonly used to refer to a specific type of bracket: in modern American usage this is usually the square bracket and in modern British usage this is usually the round bracket. \n\nChevrons were the earliest type of bracket to appear in written English. Desiderius Erasmus coined the term \"lunula\" to refer to the rounded parentheses (), recalling the shape of the crescent moon. \n\nSome of the following names are regional or contextual. \n\nThe characters ‹ › and « », known as guillemets or \"angular quote brackets\", are actually quotation mark glyphs used in several European languages. Which one of each pair is the opening quote mark and which is the closing quote varies between languages. \n\nIn English, typographers generally prefer to not set brackets in italics, even when the enclosed text is italic. However, in other languages like German, if brackets enclose text in italics, they are usually set in italics too.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89330\": \"What was the first form of brackets in written English?\"\n },\n {\n \"89331\": \"Who came up with the name \\\"lunula?\\\"\"\n },\n {\n \"89332\": \"What symbol did it refer to?\"\n },\n {\n \"89333\": \"Which he thought resembled what?\"\n },\n {\n \"89334\": \"How many types of brackets are there?\"\n },\n {\n \"89335\": \"What is an example of a type of bracket?\"\n },\n {\n \"89336\": \"What does bracket normally refer to in the modern American language?\"\n },\n {\n \"89337\": \"How about in British?\"\n },\n {\n \"89338\": \"What are guillemets also known as?\"\n },\n {\n \"89339\": \"What do English typographers mostly not like to do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89330\",\n \"answer\": \"Chevrons\"\n },\n {\n \"question_id\": \"89331\",\n \"answer\": \"Desiderius Erasmus\"\n },\n {\n \"question_id\": \"89332\",\n \"answer\": \"rounded parentheses\"\n },\n {\n \"question_id\": \"89333\",\n \"answer\": \"the shape of the crescent moon\"\n },\n {\n \"question_id\": \"89334\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"89335\",\n \"answer\": \"parentheses\"\n },\n {\n \"question_id\": \"89336\",\n \"answer\": \"the square bracket\"\n },\n {\n \"question_id\": \"89337\",\n \"answer\": \"round bracket\"\n },\n {\n \"question_id\": \"89338\",\n \"answer\": \"angular quote brackets\"\n },\n {\n \"question_id\": \"89339\",\n \"answer\": \"set brackets in italics\"\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 Sudha Chandran, a classical dancer from India, had to have her right leg cut after a car accident.She was also cut off on her bright career road. \n\nHowever, she didn't stop struggling. In the painful three months that followed, Sudha met a doctor who had an operation on her leg. So strongly she wanted to go back to dancing after she had been fitted with a man-made leg. Sudha knew that she believed in herself and could realize her dream,so she began her brave journey back to the world of dancing -- learning to balance, bend, stretch,walk, and turn. \n\nAfter every public recital , she might ask her dad about her performance. \"You stillhave a long way to go\" was the answer she used to get in return. In January 1984, Sudha gained popularity again by giving a public recital in Bombay. She performed in such a great manner that it moved everyone to tears and this performance pushed her to the number one position again. That evening when she asked her dad the same question, he didn't say anything. He just touched her feet as a praise. \n\nSudha's comeback was so touching that a film producer decided to make the story into a film,which has moved more and more people. \n\nWhen someone asked Sudha how she had managed to dance again, she said quite simply, \"YOU DON'T NEED FEET TO DANCE.\" Nothing is impossible in this world. If you have the will to win,you can achieve anything.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71943\": \"Did Sudha want to return to dancing?\"\n },\n {\n \"71944\": \"What did Sudha do in 1984?\"\n },\n {\n \"71945\": \"Was it private?\"\n },\n {\n \"71946\": \"Where was it?\"\n },\n {\n \"71947\": \"Did people laugh at her?\"\n },\n {\n \"71948\": \"Did some of them weep?\"\n },\n {\n \"71949\": \"True or False: After the recital, Sudha was the best dancer again.\"\n },\n {\n \"71950\": \"What gesture showed Sudha that her father was proud of her?\"\n },\n {\n \"71951\": \"What was Sudha's story made into?\"\n },\n {\n \"71952\": \"According to Sudha, what do you need to achieve your goals?\"\n },\n {\n \"71953\": \"What had Sudha been given by a doctor to help her dance again?\"\n },\n {\n \"71954\": \"True or False: Her left leg was injured.\"\n },\n {\n \"71955\": \"How was her leg hurt?\"\n },\n {\n \"71956\": \"What kind of dancer is Sudha?\"\n },\n {\n \"71957\": \"What is her surname?\"\n },\n {\n \"71958\": \"And her home country?\"\n },\n {\n \"71959\": \"Name a skill Sudha had to relearn in order to dance again.\"\n },\n {\n \"71960\": \"And another?\"\n },\n {\n \"71961\": \"And one more?\"\n },\n {\n \"71962\": \"What would her father usually say about her performances>\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"71943\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71944\",\n \"answer\": \"had a recital\"\n },\n {\n \"question_id\": \"71945\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71946\",\n \"answer\": \"Bombay\"\n },\n {\n \"question_id\": \"71947\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71948\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71949\",\n \"answer\": \"True\"\n },\n {\n \"question_id\": \"71950\",\n \"answer\": \"He just touched her feet\"\n },\n {\n \"question_id\": \"71951\",\n \"answer\": \"a film\"\n },\n {\n \"question_id\": \"71952\",\n \"answer\": \"the will to win\"\n },\n {\n \"question_id\": \"71953\",\n \"answer\": \"a man-made leg\"\n },\n {\n \"question_id\": \"71954\",\n \"answer\": \"False\"\n },\n {\n \"question_id\": \"71955\",\n \"answer\": \"car accident\"\n },\n {\n \"question_id\": \"71956\",\n \"answer\": \"classical\"\n },\n {\n \"question_id\": \"71957\",\n \"answer\": \"Chandran\"\n },\n {\n \"question_id\": \"71958\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"71959\",\n \"answer\": \"balance\"\n },\n {\n \"question_id\": \"71960\",\n \"answer\": \"bend\"\n },\n {\n \"question_id\": \"71961\",\n \"answer\": \"turn\"\n },\n {\n \"question_id\": \"71962\",\n \"answer\": \"\\\"You still have a long way to go\"\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 Palestine, officially the State of Palestine is a \"de jure\" sovereign state in the Middle East claiming the West Bank (bordering Israel and Jordan) and Gaza Strip (bordering Israel and Egypt) with East Jerusalem as the designated capital although its administrative center is located in Ramallah. Most of the areas claimed by the State of Palestine have been occupied by Israel since 1967 in the aftermath of the Six-Day War. The population is 4,550,368 as of 2014, ranked 123rd in the world. \n\nAfter World War II, in 1947, the United Nations adopted a Partition Plan for Mandatory Palestine recommending the creation of independent Arab and Jewish states and an internationalized Jerusalem. After the establishment of a Jewish state in Eretz Israel, to be known as the State of Israel on 14 May 1948, neighboring Arab armies invaded the former British mandate on the next day and fought the Israeli forces. Later, the All-Palestine Government was established by the Arab League on 22 September 1948 to govern the Egyptian-controlled enclave in Gaza. It was soon recognized by all Arab League members except Transjordan. Though jurisdiction of the Government was declared to cover the whole of the former Mandatory Palestine, its effective jurisdiction was limited to the Gaza Strip. Israel later captured the Gaza Strip and the Sinai Peninsula from Egypt, the West Bank (including East Jerusalem) from Jordan, and the Golan Heights from Syria in June 1967 following the Six-Day War.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26003\": \"What state is this passage about?\"\n },\n {\n \"26004\": \"What kind of a state is it?\"\n },\n {\n \"26005\": \"Who has occupied most of its areas?\"\n },\n {\n \"26006\": \"Since when?\"\n },\n {\n \"26007\": \"After what war?\"\n },\n {\n \"26008\": \"Where is its center located?\"\n },\n {\n \"26009\": \"What is its population?\"\n },\n {\n \"26010\": \"as of what year?\"\n },\n {\n \"26011\": \"which is worldwide ranked what?\"\n },\n {\n \"26012\": \"What war occurred in 1947?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26003\",\n \"answer\": \"Palestine\"\n },\n {\n \"question_id\": \"26004\",\n \"answer\": \"a \\\"de jure\\\" sovereign state\"\n },\n {\n \"question_id\": \"26005\",\n \"answer\": \"Israel\"\n },\n {\n \"question_id\": \"26006\",\n \"answer\": \"1967\"\n },\n {\n \"question_id\": \"26007\",\n \"answer\": \"the Six-Day War\"\n },\n {\n \"question_id\": \"26008\",\n \"answer\": \"Ramallah\"\n },\n {\n \"question_id\": \"26009\",\n \"answer\": \"4,550,368\"\n },\n {\n \"question_id\": \"26010\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"26011\",\n \"answer\": \"123rd\"\n },\n {\n \"question_id\": \"26012\",\n \"answer\": \"none\"\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 Have you ever watched the big parade on Tian'anmen Square on October 1? Some students performed in the big parade. In order to get ready for it, this summer, many Beijing middle school students had a different kind of vacation. Instead of hanging out with friends or traveling, they trained hard for the 60th birthday of China this year. Students trained from 7:30 am to around 10:00 am or from 4 pm to 6:30 pm, because it was very hot this summer. They wore white hats, T-shirts and blue trousers. The hats and T-shirts were printed with a red logo, the number \"60\". The first week of training was PE. Students practiced standing and squatting. Then they moved on to practice the group show. When we watched the parade on TV we saw them making colorful pictures. What did the students think of their unusual summer? \"Sometimes we find it a bit tiring.\" said Lu Wenqi, 13. \"But most of us think it's a great _ to take part in such an important show.\" Li Hui, 15, thought the same as Lu. She said her classmates were hardly late for training. \"It's a wonderful chance for us,\" said Li. \"When my parents were in college, they also took part in a national day parade. Now it's my turn!\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56942\": \"How old is Li Hui?\"\n },\n {\n \"56943\": \"what were the hats and shirts printed with?\"\n },\n {\n \"56944\": \"in what color\"\n },\n {\n \"56945\": \"what color where the pants?\"\n },\n {\n \"56946\": \"did the studetns like what they were doing?\"\n },\n {\n \"56947\": \"how old is Lu?\"\n },\n {\n \"56948\": \"are they often on time?\"\n },\n {\n \"56949\": \"what had Li's parent's done?\"\n },\n {\n \"56950\": \"what birthday are they celebrating?\"\n },\n {\n \"56951\": \"how old?\"\n },\n {\n \"56952\": \"what could they have been doing instead?\"\n },\n {\n \"56953\": \"what times were they practicing?\"\n },\n {\n \"56954\": \"why not in the middle of the day?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"56942\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"56943\",\n \"answer\": \"the number 60\"\n },\n {\n \"question_id\": \"56944\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"56945\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"56946\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56947\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"56948\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56949\",\n \"answer\": \"took part in a national day parade\"\n },\n {\n \"question_id\": \"56950\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"56951\",\n \"answer\": \"60\"\n },\n {\n \"question_id\": \"56952\",\n \"answer\": \"hanging out with friends or traveling\"\n },\n {\n \"question_id\": \"56953\",\n \"answer\": \"7:30-10:00 am, 4:00-6:30 pm\"\n },\n {\n \"question_id\": \"56954\",\n \"answer\": \"because it was very hot\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- A prominent California Democrat campaign fund manager charged with defrauding a state legislator of $677,181 is in settlement negotiations with federal prosecutors, a law enforcement source said Tuesday. \n\nKinde Durkee, whose Durkee & Associates firm is based in Burbank, California, has been charged with two counts of mail fraud regarding the alleged misappropriation of $677,181 in campaign funds belonging to California Assemblyman Jose Solorio, a Democrat whose office is based in Anaheim, authorities said. \n\nThe law enforcement source asked for anonymity because the source wasn't authorized to speak publicly about the negotiations. \n\nDurkee is accused of filing false disclosure reports to hide the misappropriations, according to an affidavit by FBI Agent Reginald Coleman. \n\nDurkee, who appears to have signature authority over more than 400 bank accounts, including those for political campaigns, allegedly moved \"substantial\" sums of money from client campaign committees to her firm's accounts or other campaign accounts, Coleman said in the affidavit. \n\nDurkee also allegedly spent funds from clients' accounts to make her firm's payroll and to pay for her mortgage, her American Express bill, her mother's assisted living facility expenses and other personal expenses, Coleman's affidavit said. \n\nIn an interview with the FBI on September 1, \"Ms. Durkee admitted that she had been misappropriating her clients' money for years, and that forms she filed with the state were false,\" Coleman wrote. \n\nDurkee and her attorney could not be reached by CNN for comment on Tuesday. \n\nIn the wake of the charges, U.S. Rep. Susan Davis, D-California, has accused Durkee of stealing \"upwards of $250,000 in campaign funds,\" according to a letter that Davis sent to her supporters on Saturday. Durkee was also Davis' campaign fund manager, a Davis spokeswoman said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10406\": \"Who has been accused?\"\n },\n {\n \"10407\": \"Of what?\"\n },\n {\n \"10408\": \"How much did she steal?\"\n },\n {\n \"10409\": \"From where?\"\n },\n {\n \"10410\": \"What did she use it for?\"\n },\n {\n \"10411\": \"What else?\"\n },\n {\n \"10412\": \"How many accounts did she have access to?\"\n },\n {\n \"10413\": \"How long had this been happening?\"\n },\n {\n \"10414\": \"What else is she accused of doing?\"\n },\n {\n \"10415\": \"Who said this?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"10406\",\n \"answer\": \"Kinde Durkee\"\n },\n {\n \"question_id\": \"10407\",\n \"answer\": \"mail fraud\"\n },\n {\n \"question_id\": \"10408\",\n \"answer\": \"$677,181\"\n },\n {\n \"question_id\": \"10409\",\n \"answer\": \"campaign funds\"\n },\n {\n \"question_id\": \"10410\",\n \"answer\": \"her firm's payroll\"\n },\n {\n \"question_id\": \"10411\",\n \"answer\": \"her bills\"\n },\n {\n \"question_id\": \"10412\",\n \"answer\": \"more than 400\"\n },\n {\n \"question_id\": \"10413\",\n \"answer\": \"for years\"\n },\n {\n \"question_id\": \"10414\",\n \"answer\": \"filing false disclosure reports\"\n },\n {\n \"question_id\": \"10415\",\n \"answer\": \"Reginald Coleman\"\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 FORBES CHINA's annual celebrity list is based on income and appearances in magazines, newspapers, TV shows and online. Stars from the mainland, Taiwan and Hong Kong are included. And here are some of the winners: \n\nJay Chou \n\nTaiwan singer, actor and director unveiled his 12th studio album, Opus 12, last December (Another \"12''). New flick in the works: The Rooftop, being filmed in Taiwan and the mainland, which he stars in and also directs. \n\n3. Andy Lau \n\nNow in his 50s, the evergreen Hong Kong star of song and film stayed popular last year with the movie Blind Detective. Lau's sixth film with Hong Kong actress Sammi Cheng is in the works. \n\nJackie Chan \n\nHong Kong movie industry icon last year released what may be his last action film CZ12, or Chinese Zodiac, which he wrote and directed. \n\n5. Zhang Ziyi \n\nPopular actress had hit romantic comedy last year with My Lucky Star, which she also produced. Appears in this year's star-laden The Grandmaster kung fu movie, directed by Hong Kong's Wong Kar-Wai and also starring Tony Leung. \n\n7. Yang Mi \n\nActress was named most popular female singer in mainland China last year in a joint CCTV-MTV event. Last year's flicks included Love in the Buff, Beijing Love Story and Wu Dang. Has endorsement deals with Pepsi and cosmetics brand Wetcode. \n\n8. Huang Xiaoming \n\nActor turned up in several successful films last year, including Love in the Buff, An Inaccurate Memoir and White-Haired Witch. Promotes Baleno, Tissot, Olay. \n\n10. Lin Chi-ling \n\nTaiwan TV hostess, model and actress. Most recent success: romantic comedy Say Yes, which took in more than $30 million in China.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10286\": \"What list is based on income and appearances?\"\n },\n {\n \"10287\": \"How often is the list put out?\"\n },\n {\n \"10288\": \"Where are stars on the list from?\"\n },\n {\n \"10289\": \"How old is Andy Lau?\"\n },\n {\n \"10290\": \"What movie was he a part of last year?\"\n },\n {\n \"10291\": \"Who is he working on a movie with?\"\n },\n {\n \"10292\": \"How many movies has he been in?\"\n },\n {\n \"10293\": \"What does Jay Chou do?\"\n },\n {\n \"10294\": \"from where?\"\n },\n {\n \"10295\": \"Is he working on a movie?\"\n },\n {\n \"10296\": \"What is the name of it?\"\n },\n {\n \"10297\": \"What is his job on the movie\"\n },\n {\n \"10298\": \"How many albums has he made?\"\n },\n {\n \"10299\": \"What is the name of the last one?\"\n },\n {\n \"10300\": \"Who is a icon from Hong Kong?\"\n },\n {\n \"10301\": \"What did he write?\"\n },\n {\n \"10302\": \"Does it have two names?\"\n },\n {\n \"10303\": \"What are they?\"\n },\n {\n \"10304\": \"How many movies was Xiaoming in last year?\"\n },\n {\n \"10305\": \"How much did Say Yes earn?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"10286\",\n \"answer\": \"China's celebrity list\"\n },\n {\n \"question_id\": \"10287\",\n \"answer\": \"annually\"\n },\n {\n \"question_id\": \"10288\",\n \"answer\": \"the mainland, Taiwan and Hong Kong\"\n },\n {\n \"question_id\": \"10289\",\n \"answer\": \"in his 50s\"\n },\n {\n \"question_id\": \"10290\",\n \"answer\": \"Blind Detective\"\n },\n {\n \"question_id\": \"10291\",\n \"answer\": \"Sammi Cheng\"\n },\n {\n \"question_id\": \"10292\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"10293\",\n \"answer\": \"he's a singer, actor and director\"\n },\n {\n \"question_id\": \"10294\",\n \"answer\": \"Taiwan\"\n },\n {\n \"question_id\": \"10295\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10296\",\n \"answer\": \"The Rooftop\"\n },\n {\n \"question_id\": \"10297\",\n \"answer\": \"an actor and director\"\n },\n {\n \"question_id\": \"10298\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"10299\",\n \"answer\": \"Opus 12\"\n },\n {\n \"question_id\": \"10300\",\n \"answer\": \"Jackie Chan\"\n },\n {\n \"question_id\": \"10301\",\n \"answer\": \"his last action film\"\n },\n {\n \"question_id\": \"10302\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10303\",\n \"answer\": \"CZ12 and Chinese Zodiac\"\n },\n {\n \"question_id\": \"10304\",\n \"answer\": \"several\"\n },\n {\n \"question_id\": \"10305\",\n \"answer\": \"$30 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 CHAPTER X \n\nBACK AT SCARCOMBE \n\nThe news of their destination had created great satisfaction among the crew, as there was little honour or prize-money to be gained, and the vessel had been for some time incessantly engaged in hunting for foes that were never found. Not the least pleased was Will. He had left England a friendless ship’s-boy; he returned home a midshipman, with a most creditable record, and with a fortune that, when he left the service, would enable him to live in more than comfort. \n\nOn arriving at Portsmouth the crew were at once paid off, and Will was appointed to the _Tartar_, a thirty-four gun frigate. On hearing the name of the ship, Dimchurch and Tom Stevens at once volunteered. They were given a fortnight’s leave; so Will, with Tom Stevens, determined to take a run up to Scarcombe, and the same day took coach to London. Dimchurch said he should spend his time in Portsmouth, as there was no one up in the north he cared to see, especially as it would take eight days out of his fortnight’s leave to go to his native place and back. \n\nOn the fourth day after leaving London the two travellers reached Scarborough. Tom Stevens started at once, with his kit on a stick, to walk to the village, while Will made enquiries for the house of Mrs. Archer, which was Miss Warden’s married name. Without much trouble he made his way to it; and when the servant answered his knock he said: “I wish to see Mrs. Archer.” \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16244\": \"Was the crew happy about the news they received?\"\n },\n {\n \"16245\": \"Why?\"\n },\n {\n \"16246\": \"Where was the ship headed?\"\n },\n {\n \"16247\": \"Did they have to leave again immediately?\"\n },\n {\n \"16248\": \"How much time did they have there?\"\n },\n {\n \"16249\": \"Where did Will and Tom decide to go?\"\n },\n {\n \"16250\": \"Where was the first stop on their journey there?\"\n },\n {\n \"16251\": \"How did they go to London?\"\n },\n {\n \"16252\": \"Did Dimchurch come with them?\"\n },\n {\n \"16253\": \"Did he go to his home instead?\"\n },\n {\n \"16254\": \"How many days from London was Scarborough?\"\n },\n {\n \"16255\": \"Did Will and Tom continue together after reaching there?\"\n },\n {\n \"16256\": \"Where did Tom go?\"\n },\n {\n \"16257\": \"And Will?\"\n },\n {\n \"16258\": \"Did she have another name formerly?\"\n },\n {\n \"16259\": \"What was it?\"\n },\n {\n \"16260\": \"Why did she change her name?\"\n },\n {\n \"16261\": \"What was her first name?\"\n },\n {\n \"16262\": \"Was it difficult for Will to find her house?\"\n },\n {\n \"16263\": \"Who answered the door there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"16244\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16245\",\n \"answer\": \"there was little honour or prize-money to be gained\"\n },\n {\n \"question_id\": \"16246\",\n \"answer\": \"Portsmouth\"\n },\n {\n \"question_id\": \"16247\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16248\",\n \"answer\": \"a fortnight\"\n },\n {\n \"question_id\": \"16249\",\n \"answer\": \"Scarcombe\"\n },\n {\n \"question_id\": \"16250\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16251\",\n \"answer\": \"coach\"\n },\n {\n \"question_id\": \"16252\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16253\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16254\",\n \"answer\": \"Four Days\"\n },\n {\n \"question_id\": \"16255\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16256\",\n \"answer\": \"to the village\"\n },\n {\n \"question_id\": \"16257\",\n \"answer\": \"He made enquiries for the house of Mrs. Archer,\"\n },\n {\n \"question_id\": \"16258\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16259\",\n \"answer\": \"Miss Warden\"\n },\n {\n \"question_id\": \"16260\",\n \"answer\": \"She got married\"\n },\n {\n \"question_id\": \"16261\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"16262\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16263\",\n \"answer\": \"the servant\"\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 XLII \n\nThe Prince dined carefully, but with less than his usual appetite. Afterwards he lit a cigarette and strolled for a moment into the lounge. Celeste, who was waiting for him, glided at once to his side. \n\n\"Monsieur!\" she whispered. \"I have been here for one hour.\" \n\nHe nodded. \n\n\"Well?\" \n\n\"Monsieur le Duc has arrived.\" \n\nThe Prince turned sharply round. \n\n\"Who?\" \n\n\"Monsieur le Duc de Souspennier. He calls himself no longer Mr. Sabin.\" \n\nA dull flush of angry colour rose almost to his temples. \n\n\"Why did you not tell me before?\" he exclaimed. \n\n\"Monsieur was in the restaurant,\" she answered. \"It was impossible for me to do anything but wait.\" \n\n\"Where is he?\" \n\n\"Alas! he is with madam,\" the girl answered. \n\nThe Prince was very profane. He started at once for the elevator. In a moment or two he presented himself at Lucille's sitting-room. They were still lingering over their dinner. Mr. Sabin welcomed him with grave courtesy. \n\n\"The Prince is in time to take his liqueur with us,\" he remarked, rising. \"Will you take fin champagne, Prince, or Chartreuse? I recommend the fin champagne.\" \n\nThe Prince bowed his thanks. He was white to the lips with the effort for self-mastery. \n\n\"I congratulate you, Mr. Sabin,\" he said, \"upon your opportune arrival. You will be able to help Lucille through the annoyance to which I deeply regret that she should be subjected.\" \n\nMr. Sabin gently raised his eyebrows. \n\n\"Annoyance!\" he repeated. \"I fear that I do not quite understand.\" \n\nThe Prince smiled. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51065\": \"Did the prince have good appetite?\"\n },\n {\n \"51066\": \"Did he have a cigarette after that?\"\n },\n {\n \"51067\": \"What he did next?\"\n },\n {\n \"51068\": \"Who approached him next?\"\n },\n {\n \"51069\": \"How long she had been waiting?\"\n },\n {\n \"51070\": \"Who did she inquire about?\"\n },\n {\n \"51071\": \"What is his other name?\"\n },\n {\n \"51072\": \"Did prince know about it?\"\n },\n {\n \"51073\": \"Who was with Sabin at that time?\"\n },\n {\n \"51074\": \"Where he was?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"51065\",\n \"answer\": \"no\\\\\"\n },\n {\n \"question_id\": \"51066\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"51067\",\n \"answer\": \"strolled for a moment into the lounge.\"\n },\n {\n \"question_id\": \"51068\",\n \"answer\": \"Celeste\"\n },\n {\n \"question_id\": \"51069\",\n \"answer\": \"one hour.\"\n },\n {\n \"question_id\": \"51070\",\n \"answer\": \"Monsieur le Duc\"\n },\n {\n \"question_id\": \"51071\",\n \"answer\": \"Mr. Sabin.\"\n },\n {\n \"question_id\": \"51072\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"51073\",\n \"answer\": \"madam,\"\n },\n {\n \"question_id\": \"51074\",\n \"answer\": \"Lucille's sitting-room\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The old camera Brownie picked up in a charity shop was a splendid find. But the undeveloped film still inside turned out to be even more of a treasure. \n\nNew owner Don Roccoforte had it developed and saw in it an attractive dark haired woman in her thirties with two young boys. He immediately determined to try to find out who they were. \n\nA few weeks later the California-based camera collector received the news that left him _ . The woman was his wife Jaqueline's aunt in a picture taken around 50 years ago, and one of the boys, her cousin. \n\nThe couple have now unraveled the astonishing coincidence, which leads back to Mrs. Roccoforte's native Lancashire, where many of her family still live. The camera was bought from a shop in Preston, England by Brownie, a friend of Mr. Roccoforte, who knew of his interest in photography and thought it would be an unusual gift. \n\nBack in California, the contents of his new possession inspired Mr. Roccoforte's curiosity. Recognizing the water in the background of the photo as a lake in Lancashire, he sent a copy to the local paper in Preston to see if any readers could help. \n\nAnother relative recognized the group as Winnie Bamber, still living in the area at the age of 81, her son Tony, Mrs. Roccoforte's cousin, and Tony's childhood friend, Mick Murphy. \n\nYesterday Mrs. Bamber was still gasping at the turn of events which has reunited two strands of her family. She said she remembered taking the boys to the lake and losing the camera. The two boys, both now 58, still live near Preston. \n\nMrs. Roccoforte's father is Winnie Bamber's brother, Billy Charnley. He and his wife moved to America in the 1960s. Their daughter met Mr. Roccoforte there and they married and moved to Preston for two years before returning to America.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40250\": \"What was found in the thrift store?\"\n },\n {\n \"40251\": \"What surprise was there in it ?\"\n },\n {\n \"40252\": \"How was it described?\"\n },\n {\n \"40253\": \"Who found the camera?\"\n },\n {\n \"40254\": \"Who is Don Roccoforte?\"\n },\n {\n \"40255\": \"Did he recognize the people in the developed photo?\"\n },\n {\n \"40256\": \"What was he going to do about that?\"\n },\n {\n \"40257\": \"Was he able to?\"\n },\n {\n \"40258\": \"How long did it take to find out?\"\n },\n {\n \"40259\": \"What was fascinating about who was in the picture?\"\n },\n {\n \"40260\": \"What body of water was in the photo?\"\n },\n {\n \"40261\": \"Located where?\"\n },\n {\n \"40262\": \"Had he seen the lake before?\"\n },\n {\n \"40263\": \"Who did he send the photo to?\"\n },\n {\n \"40264\": \"Are the people in the photo still alive?\"\n },\n {\n \"40265\": \"How did the camera end up in a shop?\"\n },\n {\n \"40266\": \"Who lost the camera?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"40250\",\n \"answer\": \"old camera\"\n },\n {\n \"question_id\": \"40251\",\n \"answer\": \"undeveloped film\"\n },\n {\n \"question_id\": \"40252\",\n \"answer\": \"an attractive dark haired woman in her thirties with two young boys\"\n },\n {\n \"question_id\": \"40253\",\n \"answer\": \"Brownie\"\n },\n {\n \"question_id\": \"40254\",\n \"answer\": \"New owner\"\n },\n {\n \"question_id\": \"40255\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40256\",\n \"answer\": \"He immediately determined to try to find out who they were.\"\n },\n {\n \"question_id\": \"40257\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"40258\",\n \"answer\": \"A few weeks\"\n },\n {\n \"question_id\": \"40259\",\n \"answer\": \"The woman was his wife Jaqueline's aunt in a picture taken around 50 years ago, and one of the boys, her cousin.\"\n },\n {\n \"question_id\": \"40260\",\n \"answer\": \"a lake\"\n },\n {\n \"question_id\": \"40261\",\n \"answer\": \"Lancashire\"\n },\n {\n \"question_id\": \"40262\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40263\",\n \"answer\": \"the local paper in Preston\"\n },\n {\n \"question_id\": \"40264\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40265\",\n \"answer\": \"The camera was bought from a shop in Preston, England\"\n },\n {\n \"question_id\": \"40266\",\n \"answer\": \"Mrs. Bamber\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII HOPE \n\n\n\n\"Faith, Madame!\" said Sir Andrew, seeing that Marguerite seemed desirous to call her surly host back again, \"I think we'd better leave him alone. We shall not get anything more out of him, and we might arouse his suspicions. One never knows what spies may be lurking around these God-forsaken places.\" \n\n\"What care I?\" she replied lightly, \"now I know that my husband is safe, and that I shall see him almost directly!\" \n\n\"Hush!\" he said in genuine alarm, for she had talked quite loudly, in the fulness of her glee, \"the very walls have ears in France, these days.\" \n\nHe rose quickly from the table, and walked round the bare, squalid room, listening attentively at the door, through which Brogard has just disappeared, and whence only muttered oaths and shuffling footsteps could be heard. He also ran up the rickety steps that led to the attic, to assure himself that there were no spies of Chauvelin's about the place. \n\n\"Are we alone, Monsieur, my lacquey?\" said Marguerite, gaily, as the young man once more sat down beside her. \"May we talk?\" \n\n\"As cautiously as possible!\" he entreated. \n\n\"Faith, man! but you wear a glum face! As for me, I could dance with joy! Surely there is no longer any cause for fear. Our boat is on the beach, the FOAM CREST not two miles out at sea, and my husband will be here, under this very roof, within the next half hour perhaps. Sure! there is naught to hinder us. Chauvelin and his gang have not yet arrived.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87689\": \"Is Sir Andrew married?\"\n },\n {\n \"87690\": \"who is Magurerite?\"\n },\n {\n \"87691\": \"Were the walls paperthin?\"\n },\n {\n \"87692\": \"Who was speaking loudly?\"\n },\n {\n \"87693\": \"Who wanted her to be more quieter?\"\n },\n {\n \"87694\": \"Why did Magureite wanted to know if they were alone?\"\n },\n {\n \"87695\": \"Who was sad?\"\n },\n {\n \"87696\": \"what was the boat's name?\"\n },\n {\n \"87697\": \"when is her husband arriving\"\n },\n {\n \"87698\": \"Did chavelin and his gang come yet?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"87689\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87690\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87691\",\n \"answer\": \"the walls have ears\"\n },\n {\n \"question_id\": \"87692\",\n \"answer\": \"Marguerite did\"\n },\n {\n \"question_id\": \"87693\",\n \"answer\": \"Sir Andrew\"\n },\n {\n \"question_id\": \"87694\",\n \"answer\": \"she wanted to talk\"\n },\n {\n \"question_id\": \"87695\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87696\",\n \"answer\": \"FOAM CREST\"\n },\n {\n \"question_id\": \"87697\",\n \"answer\": \"within the next half hour perhaps\"\n },\n {\n \"question_id\": \"87698\",\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 doing a weekend seminar at the Deerhurst Lodge, north of Toronto. On Friday night a tornado swept through a town north of us called Barrie, killing dozens of people and doing millions of dollars worth of damage. Sunday night, as I was coming home, I stopped the car when I got to Barrie. I got out on the side of the highway and looked around. It was a mess. Everywhere I looked there were smashed houses and cars turned upside down. \n\nThat same night Bob Templeton was driving down the same highway. He stopped to look at the disaster just as I had; only his thoughts were different than my own. Bob was the vice-president of Telemedia Communications, which owns a string of radio stations in Ontario and Quebec. He thought there must be something we could do for these people with the radio stations they had. \n\nThe following night I was doing another seminar in Toronto. Bob Templeton and Bob Johnson, another vice-president from Telemedia, came in and stood in the back of the room. They shared their conviction that there had to be something they could do for the people in Barrie. \n\nAfter the seminar we went back to Bob's office. He was now committed to the idea of helping the people who had been caught in the tornado. \n\nThe following Friday he called all the executives at Telemedia into his office. At the top of a flip chart he wrote three 3s. He said to his executives, \"How would you like to raise 3 million dollars 3 days from now in just 3 hours and give the money to the people in Barrie?\" There was nothing but silence in the room. \n\nFinally someone said, \"Templeton, you're crazy. There is no way we could do that.\" \n\nBob said, \"Wait a minute. I didn't ask you if we could or even if we should. I just asked you if you'd like to.\" \n\nThey all said, \"Sure we'd like to.\" He then drew a large 'T' underneath the 333. On one side he wrote, \"Why we can't.\" On the other side he wrote, \"How we can.\" \n\n\"I'm going to put a big X on the 'Why we can't' side. We're not going to spend any time on the ideas of why we can't. That's of no value. On the other side we're going to write down every idea that we can come up with on how we can. We're not going to leave the room until we figure it out.\" There was silence again. \n\nFinally, someone said, \"We could do a radio show across Canada.\" \n\nBob said, \"That's a great idea,\" and wrote it down. Before he had it written, someone said, \"You can't do a radio show across Canada. We don't have radio stations across Canada.\" That was a pretty valid objection. They only had stations in Ontario and Quebec. \n\nTempleton replied, \" _ .\" But this was a real strong objection because radio stations are not very compatible . They usually don't work together. They are very cutthroat. They fight each other. To get them to work together would be virtually impossible according to the standard way of thinking. \n\nAll of a sudden someone said, \"We could get Harvey Kirk and Lloyd Robertson, the biggest names in Canadian broadcasting, to anchor the show.\" (That would be like getting Tom Brokaw and Sam Donaldson to anchor the show. They are anchors on national TV. They are not going to go on radio.) At that point, it was absolutely amazing how fast and furious the creative ideas began to flow. \n\nThat was on a Friday. The following Tuesday they had a radiothon . They had fifty radio stations all across the country that agreed to broadcast it. It didn't matter who got the credit as long as the people in Barrie got the money. Harvey Kirk and Lloyd Robertson anchored the show and they succeeded in raising three million dollars in three hours within three business days! \n\nYou see, you can do anything if you put your focus on how to do it rather than on why you can't.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4819\": \"Was Bob Templeton driving down the highway during the day?\"\n },\n {\n \"4820\": \"Which way were cars turned?\"\n },\n {\n \"4821\": \"Is that the way cars are supposed to be?\"\n },\n {\n \"4822\": \"What happened to the houses?\"\n },\n {\n \"4823\": \"Which town was this in?\"\n },\n {\n \"4824\": \"Did anyone die?\"\n },\n {\n \"4825\": \"How many people?\"\n },\n {\n \"4826\": \"Was there any monetary damages?\"\n },\n {\n \"4827\": \"How much?\"\n },\n {\n \"4828\": \"What night was the author driving through Barrie?\"\n },\n {\n \"4829\": \"Was he driving home?\"\n },\n {\n \"4830\": \"Where had he just spent his weekend?\"\n },\n {\n \"4831\": \"Where's that located?\"\n },\n {\n \"4832\": \"What was he doing there?\"\n },\n {\n \"4833\": \"What swept through Barrie?\"\n },\n {\n \"4834\": \"When?\"\n },\n {\n \"4835\": \"Who else had been driving down the same highway that night?\"\n },\n {\n \"4836\": \"What did Bob do for a living?\"\n },\n {\n \"4837\": \"For which company?\"\n },\n {\n \"4838\": \"Who was Bob committed to helping?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4819\",\n \"answer\": \"night\"\n },\n {\n \"question_id\": \"4820\",\n \"answer\": \"Upside down.\"\n },\n {\n \"question_id\": \"4821\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"4822\",\n \"answer\": \"They were smashed.\"\n },\n {\n \"question_id\": \"4823\",\n \"answer\": \"Barrie.\"\n },\n {\n \"question_id\": \"4824\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"4825\",\n \"answer\": \"Dozens.\"\n },\n {\n \"question_id\": \"4826\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"4827\",\n \"answer\": \"Millions\"\n },\n {\n \"question_id\": \"4828\",\n \"answer\": \"Sunday night.\"\n },\n {\n \"question_id\": \"4829\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4830\",\n \"answer\": \"The Deerhurst Lodge\"\n },\n {\n \"question_id\": \"4831\",\n \"answer\": \"North of Toronto\"\n },\n {\n \"question_id\": \"4832\",\n \"answer\": \"A weekend seminar\"\n },\n {\n \"question_id\": \"4833\",\n \"answer\": \"A tornado\"\n },\n {\n \"question_id\": \"4834\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"4835\",\n \"answer\": \"Bob Templeton\"\n },\n {\n \"question_id\": \"4836\",\n \"answer\": \"He was a vice-president.\"\n },\n {\n \"question_id\": \"4837\",\n \"answer\": \"Telemedia Communications\"\n },\n {\n \"question_id\": \"4838\",\n \"answer\": \"People who were caught in the tornado\"\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 Bob, Jim and Alice are good friends. They all study in the same class in Red Star Middle School. The weekend is coming and the weather is going to be sunny and warm. Now they are talking about their plans. Bob is going to the hospital on Saturday. It is not far from his house, so he wants to go there by bike. He is going to visit a sick boy called Ben in the hospital. He wants to make Ben happy and give him some interesting storybooks. He is going to stay there for the whole day. Jim is going to ride to Great Zoo with his father on Sunday. He wants to see the pandas, tigers, lions and elephants. He wants to stay there for the whole day. On Saturday, Alice is going to the Green Park with her friends on foot. She is going fishing by the lake, going boating on the river and playing on the slide . She plans to stay there for the whole afternoon.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89230\": \"Where do the friends go to school?\"\n },\n {\n \"89231\": \"How many friends are there?\"\n },\n {\n \"89232\": \"Are they planning on hanging out together over the weekend?\"\n },\n {\n \"89233\": \"What does Alice plan on doing?\"\n },\n {\n \"89234\": \"Is she going in the morning?\"\n },\n {\n \"89235\": \"Will she go alone?\"\n },\n {\n \"89236\": \"With who then?\"\n },\n {\n \"89237\": \"What will Jim be doing?\"\n },\n {\n \"89238\": \"with who?\"\n },\n {\n \"89239\": \"When?\"\n },\n {\n \"89240\": \"To see what?\"\n },\n {\n \"89241\": \"How about Bob?\"\n },\n {\n \"89242\": \"Is he hurt?\"\n },\n {\n \"89243\": \"Why is he going?\"\n },\n {\n \"89244\": \"Named?\"\n },\n {\n \"89245\": \"for what?\"\n },\n {\n \"89246\": \"What kind?\"\n },\n {\n \"89247\": \"Is he going for a few hours?\"\n },\n {\n \"89248\": \"For how long?\"\n },\n {\n \"89249\": \"Is Ben healthy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89230\",\n \"answer\": \"Red Star Middle School.\"\n },\n {\n \"question_id\": \"89231\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"89232\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89233\",\n \"answer\": \"going to Green Park\"\n },\n {\n \"question_id\": \"89234\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89235\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89236\",\n \"answer\": \"her friends\"\n },\n {\n \"question_id\": \"89237\",\n \"answer\": \"going to Great Zoo\"\n },\n {\n \"question_id\": \"89238\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"89239\",\n \"answer\": \"on Sunday\"\n },\n {\n \"question_id\": \"89240\",\n \"answer\": \"the pandas, tigers, lions and elephants.\"\n },\n {\n \"question_id\": \"89241\",\n \"answer\": \"He is going to the hospital\"\n },\n {\n \"question_id\": \"89242\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89243\",\n \"answer\": \"to visit a sick boy\"\n },\n {\n \"question_id\": \"89244\",\n \"answer\": \"Ben\"\n },\n {\n \"question_id\": \"89245\",\n \"answer\": \"to make Ben happy and give him some storybooks\"\n },\n {\n \"question_id\": \"89246\",\n \"answer\": \"interesting\"\n },\n {\n \"question_id\": \"89247\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89248\",\n \"answer\": \"the whole day\"\n },\n {\n \"question_id\": \"89249\",\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 (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 Standard Generalized Markup Language (SGML; ISO 8879:1986) is a standard for defining generalized markup languages for documents. ISO 8879 Annex A.1 defines generalized markup: \n\nGeneralized markup is based on two postulates: \n\nHTML was theoretically an example of an SGML-based language until HTML 5, which admits that browsers cannot parse it as SGML (for compatibility reasons) and codifies exactly what they must do instead. \n\nDocBook SGML and LinuxDoc are better examples, as they were used almost exclusively with actual SGML tools. \n\nSGML is an ISO standard: \"ISO 8879:1986 Information processing – Text and office systems – Standard Generalized Markup Language (SGML)\", of which there are three versions: \n\nSGML is part of a trio of enabling ISO standards for electronic documents developed by ISO/IEC JTC1/SC34 (ISO/IEC Joint Technical Committee 1, Subcommittee 34 – Document description and processing languages) : \n\nSGML is supported by various technical reports, in particular \n\nSGML descended from IBM's Generalized Markup Language (GML), which Charles Goldfarb, Edward Mosher, and Raymond Lorie developed in the 1960s. Goldfarb, editor of the international standard, coined the “GML” term using their surname initials. Goldfarb also wrote the definitive work on SGML syntax in \"The SGML Handbook\". The syntax of SGML is closer to the COCOA format. As a document markup language, SGML was originally designed to enable the sharing of machine-readable large-project documents in government, law, and industry. Many such documents must remain readable for several decades—a long time in the information technology field. SGML also was extensively applied by the military, and the aerospace, technical reference, and industrial publishing industries. The advent of the XML profile has made SGML suitable for widespread application for small-scale, general-purpose use.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61172\": \"What does SGML stand for?\"\n },\n {\n \"61173\": \"What's it used for\"\n },\n {\n \"61174\": \"what is an exclusive tool?\"\n },\n {\n \"61175\": \"and?\"\n },\n {\n \"61176\": \"Who was it applied by?\"\n },\n {\n \"61177\": \"who else?\"\n },\n {\n \"61178\": \"and?\"\n },\n {\n \"61179\": \"What came before SGML?\"\n },\n {\n \"61180\": \"who developed it?\"\n },\n {\n \"61181\": \"and?\"\n },\n {\n \"61182\": \"and the third?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61172\",\n \"answer\": \"Standard Generalized Markup Language\"\n },\n {\n \"question_id\": \"61173\",\n \"answer\": \"defining generalized markup languages\"\n },\n {\n \"question_id\": \"61174\",\n \"answer\": \"DocBook SGML\"\n },\n {\n \"question_id\": \"61175\",\n \"answer\": \"LinuxDoc\"\n },\n {\n \"question_id\": \"61176\",\n \"answer\": \"the military\"\n },\n {\n \"question_id\": \"61177\",\n \"answer\": \"the aerospace industry\"\n },\n {\n \"question_id\": \"61178\",\n \"answer\": \"Also the technical reference industry\"\n },\n {\n \"question_id\": \"61179\",\n \"answer\": \"GML\"\n },\n {\n \"question_id\": \"61180\",\n \"answer\": \"Charles Goldfarb\"\n },\n {\n \"question_id\": \"61181\",\n \"answer\": \"Edward Mosher\"\n },\n {\n \"question_id\": \"61182\",\n \"answer\": \"Raymond Lorie\"\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) -- Andrea Pirlo played a starring role against his former club AC Milan to keep Italian champion Juventus in touch with the Serie A leaders Sunday. \n\nThe veteran midfielder scored a free-kick and hit the bar with another, allowing Giorgio Chiellini to volley what would be the decisive goal for a 3-1 lead. \n\nAC Milan, down to 10 men by that stage after defender Philippe Mexes was sent off for protesting his initial booking, reduced the deficit through Sulley Muntari's second of the match at the end. \n\nIt left Juve in third place on goal difference behind Napoli, which also remained unbeaten following a 4-0 win at home to Livorno. \n\nBoth clubs trail Roma by two points, following the capital club's Saturday win at Inter Milan. \n\nFormer Inter midfielder Muntari gave Milan the lead inside 30 seconds, but Pirlo -- who spent a decade at the San Siro -- equalized after 15 minutes with a set-piece that goalkeeper Christian Abbiati could only deflect into the net. \n\nSubstitute Sebastian Giovinco put Juve ahead in the 69th minute from Arturo Vidal's pass, soon after his arrival on the pitch, and then Mexes' moment of madness was to prove vital for Milan as Chiellini immediately capitalized. \n\nThe defeat left the seven-time European champion languishing in 12th place, some 13 points adrift of Roma. \n\nNapoli, like Juve, has six wins and a draw from seven matches, continuing new coach Rafael Benitez's fine start. \n\nFormer Real Madrid striker Gonzalo Higuain was again missing due to injury, but the Neapolitans had too much firepower for Livorno. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15151\": \"Where did Juve finish?\"\n },\n {\n \"15152\": \"Where they in front of Napoli?\"\n },\n {\n \"15153\": \"Where?\"\n },\n {\n \"15154\": \"How did they do against Livorno?\"\n },\n {\n \"15155\": \"Did they play at home or away?\"\n },\n {\n \"15156\": \"How many clubs trail Roma by two points?\"\n },\n {\n \"15157\": \"Did Roma beat Inter Milan?\"\n },\n {\n \"15158\": \"When?\"\n },\n {\n \"15159\": \"Who is the midfielder for Inter Milan?\"\n },\n {\n \"15160\": \"When did he give Milan the lead?\"\n },\n {\n \"15161\": \"Who equalized the match?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"15151\",\n \"answer\": \"in third place\"\n },\n {\n \"question_id\": \"15152\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15153\",\n \"answer\": \"behind them\"\n },\n {\n \"question_id\": \"15154\",\n \"answer\": \"a 4-0 win\"\n },\n {\n \"question_id\": \"15155\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"15156\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"15157\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"15158\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"15159\",\n \"answer\": \"Muntari\"\n },\n {\n \"question_id\": \"15160\",\n \"answer\": \"Muntari\"\n },\n {\n \"question_id\": \"15161\",\n \"answer\": \"Pirlo\"\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 I \n\nWYNDHAM PAYS DUTY \n\nRed reflections trembled on the sea, a fringe of languid surf broke along the beach, and as the liner turned a point, a white town that rose in terraces, glimmered like a pearl. A yellow flag ran up to the masthead, the throb of engines slowed, and a noisy launch steamed out from behind the mole. Marston, leaning on the rail, watched her approach, and his look was thoughtful when he turned to Wyndham. \n\n\"If Don Ramon got our telegram, he's probably on board,\" he said. \"I hope he is, because if he doesn't come it might imply he means to make things difficult for us. He could if he liked.\" \n\n\"Larrinaga will come,\" Wyndham replied. \"From all accounts, he's a pretty good officer, but I don't expect he neglects his interests while he looks after the State's. I'm counting on this.\" \n\n\"I s'pose one mustn't be fastidious, but I don't want to get involved in fresh intrigue. The job we've undertaken is awkward enough.\" \n\n\"Very awkward,\" Wyndham agreed, with some dryness. \"In a way, it looks too big for us. To begin with, we have got to pay duties we dodged, and satisfy the Government we cheated. Then, without exciting the latter's curiosity, we're going to stop a rebellion and carry off its leader. There's the worst puzzle. The fellow's cunning and powerful. Moreover, he's my uncle.\" \n\nHe stopped, for the engines clanked noisily as the screw turned astern; then the anchor splashed and the launch swung in to the gangway. The port doctor came on board and after him a man in tight-fitting American clothes. His wide black belt was spun from the finest silk and Marston noted his hat. Indians had woven the delicate material under running water; presidents and dictators wore hats like that, and none of the few produced were sent to Europe. It was obvious that Señor Larrinaga was now a man of importance. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15615\": \"Do the characters know if Don Ramon is on board the ship?\"\n },\n {\n \"15616\": \"Why might he be?\"\n },\n {\n \"15617\": \"Do they want to see him there?\"\n },\n {\n \"15618\": \"Why?\"\n },\n {\n \"15619\": \"What color was the ship's flag?\"\n },\n {\n \"15620\": \"Are Marston and Wyndham on the ship?\"\n },\n {\n \"15621\": \"Where are they?\"\n },\n {\n \"15622\": \"What are they doing there?\"\n },\n {\n \"15623\": \"Have Wyndham and Marston been acting honestly?\"\n },\n {\n \"15624\": \"What immoral things have they done?\"\n },\n {\n \"15625\": \"What do they have to do after making amends for those things?\"\n },\n {\n \"15626\": \"who is the leader?\"\n },\n {\n \"15627\": \"Is he intelligent?\"\n },\n {\n \"15628\": \"Who was the first person they saw after the anchor dropped?\"\n },\n {\n \"15629\": \"and the second?\"\n },\n {\n \"15630\": \"what did Marston pay attention to in the man's outfit?\"\n },\n {\n \"15631\": \"what was special about the hat?\"\n },\n {\n \"15632\": \"what kinds of people wore similar hats?\"\n },\n {\n \"15633\": \"Were a large number produced?\"\n },\n {\n \"15634\": \"could they be purchased in Europe?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"15615\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15616\",\n \"answer\": \"If he got their telegram\"\n },\n {\n \"question_id\": \"15617\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15618\",\n \"answer\": \"if he doesn't come he might be making things difficult\"\n },\n {\n \"question_id\": \"15619\",\n \"answer\": \"Yellow\"\n },\n {\n \"question_id\": \"15620\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15621\",\n \"answer\": \"Leaning on the rail at the port\"\n },\n {\n \"question_id\": \"15622\",\n \"answer\": \"Watching the ship approach\"\n },\n {\n \"question_id\": \"15623\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15624\",\n \"answer\": \"dodged duties and cheated the government\"\n },\n {\n \"question_id\": \"15625\",\n \"answer\": \"stop a rebellion and carry off its leader\"\n },\n {\n \"question_id\": \"15626\",\n \"answer\": \"Wyndham's uncle\"\n },\n {\n \"question_id\": \"15627\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15628\",\n \"answer\": \"the port doctor\"\n },\n {\n \"question_id\": \"15629\",\n \"answer\": \"a man in tight-fitting American clothes\"\n },\n {\n \"question_id\": \"15630\",\n \"answer\": \"his hat\"\n },\n {\n \"question_id\": \"15631\",\n \"answer\": \"the material was woven by Indians under running water\"\n },\n {\n \"question_id\": \"15632\",\n \"answer\": \"presidents and dictators\"\n },\n {\n \"question_id\": \"15633\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15634\",\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 Psychiatrists who work with older parents say that maturity can be an advantage in child raising--older parents are more thoughtful, use less physical discipline and spend more time with their children. But raising kids takes money and energy. Many older parents find themselves balancing their limited financial resources, decreasing energy and failing health against the growing demands of an active child. Dying and leaving young children is probably the older parents' biggest, and often unspoken fear. \"Having late-life children often means parents, particularly fathers, end up retiring much later. For many, retirement becomes an unobtainable dream.\" says Brandy Gabrielle, an economics professor. \n\nHenry Metcalf, a 54-year-old journalist, knows it takes money to raise kids. But he's also worried that his energy will give out first. Sure, he can still ride bikes with his athletic fifth grader, but he's learned that young at heart doesn't mean young. Lately he's been taking afternoon naps to keep up his energy. \"My body is aging,\" says Metcalf. \"You can't get away from that.\" \n\nOften, older parents hear the ticking of another kind of biological clock. Therapists who work with middle-aged and older parents say fears about aging are nothing to laugh at. \"They worry they'll be mistaken for grandparents, or that they'll need help getting up out of those little chairs in nursery school,\" says Joann Gals, a New York psychologist. But at the core of those little fears there is often a much bigger one: \"that they won't be alive long enough to support and protect their children,\" she says. \n\nMany late-life parents, though, say their children came at just the right time. After marrying late and undergoing years of pregnancy treatment, Marilyn Nolen and her husband, Randy, had twins. \"We both wanted children,\" says Marilyn, who was 55 when she gave birth. The twins have given the couple what they desired for years -- a sense of family. Kids of older dads are often smarter, happier and more sociable because their fathers are more involved in their lives. \"The dads are older, more mature,\" says Dr. Silber, \"and more ready to focus on parenting.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30813\": \"How old is Henry Metcalf?\"\n },\n {\n \"30814\": \"What's he do for a living?\"\n },\n {\n \"30815\": \"What's it take to raise kids?\"\n },\n {\n \"30816\": \"Instead of worrying about cash, though, what's he worried about giving out first?\"\n },\n {\n \"30817\": \"What's he like to ride with his fifth grader?\"\n },\n {\n \"30818\": \"Is his kid a couch potato?\"\n },\n {\n \"30819\": \"What's Henry take to keep his energy up?\"\n },\n {\n \"30820\": \"What's the name of Marilyn Nolan's husband?\"\n },\n {\n \"30821\": \"How many kids do they have?\"\n },\n {\n \"30822\": \"How old was Marilyn when she had them?\"\n },\n {\n \"30823\": \"Did they want the kids?\"\n },\n {\n \"30824\": \"What kind of sense did it give them?\"\n },\n {\n \"30825\": \"When older dudes have kids, what's one of the things the kids tend to be?\"\n },\n {\n \"30826\": \"Are kids with older dudes for fathers smarter?\"\n },\n {\n \"30827\": \"Are they happier or sadder than other tykes?\"\n },\n {\n \"30828\": \"Do their fathers get more involved in their lives?\"\n },\n {\n \"30829\": \"What's an older's parent biggest, and often unspoken terror?\"\n },\n {\n \"30830\": \"What turns into an unobtainable dream?\"\n },\n {\n \"30831\": \"Who said this?\"\n },\n {\n \"30832\": \"What's she do for a living?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"30813\",\n \"answer\": \"54\"\n },\n {\n \"question_id\": \"30814\",\n \"answer\": \"journalist\"\n },\n {\n \"question_id\": \"30815\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"30816\",\n \"answer\": \"energy\"\n },\n {\n \"question_id\": \"30817\",\n \"answer\": \"bikes\"\n },\n {\n \"question_id\": \"30818\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"30819\",\n \"answer\": \"afternoon naps\"\n },\n {\n \"question_id\": \"30820\",\n \"answer\": \"randy\"\n },\n {\n \"question_id\": \"30821\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"30822\",\n \"answer\": \"55\"\n },\n {\n \"question_id\": \"30823\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"30824\",\n \"answer\": \"of family.\"\n },\n {\n \"question_id\": \"30825\",\n \"answer\": \"more ready to focus on parenting\"\n },\n {\n \"question_id\": \"30826\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"30827\",\n \"answer\": \"happier\"\n },\n {\n \"question_id\": \"30828\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"30829\",\n \"answer\": \"Dying and leaving young children\"\n },\n {\n \"question_id\": \"30830\",\n \"answer\": \"retirement\"\n },\n {\n \"question_id\": \"30831\",\n \"answer\": \"Brandy Gabrielle\"\n },\n {\n \"question_id\": \"30832\",\n \"answer\": \"an economics professor.\"\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 I \n\nGUY POYNTON AGAIN \n\n\"I Suppose,\" the boy said thoughtfully, \"I must seem to you beastly ungrateful. You've been a perfect brick to me ever since that night. But I can't help being a bit homesick. You see, it was really the first time I'd ever been away from home for long, and though my little place isn't a patch on this, of course, still, I was born there, and I'm jolly fond of it.\" \n\nHis companion nodded, and his dark eyes rested for a moment upon the other's face. Guy Poynton was idly watching the reapers at work in the golden valley below, and he did not catch his friend's expression. \n\n\"You are very young, _mon cher ami_,\" he said. \"As one grows older one demands change. Change always of scene and occupation. Now I, too, am most hideously bored here, although it is my home. For me to live is only possible in Paris--Paris, the beautiful.\" \n\nGuy looked away from the fields. He resented a little his friend's air of superiority. \n\n\"There's only a year's difference in our ages!\" he remarked. \n\nHenri de Bergillac smiled--this time more expressively than ever, and held out his hands. \n\n\"I speak of experience, not years,\" he said. \"You have lived for twenty years in a very delightful spot no doubt, but away from everything which makes life endurable, possible even, for the child of the cities. I have lived for twenty-one years mostly in Paris. Ah, the difference!\" \n\nGuy shrugged his shoulders, and leaned back in his chair. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12203\": \"What was Poynton watching in the valley below?\"\n },\n {\n \"12204\": \"Where did Bergillac say he wants to live?\"\n },\n {\n \"12205\": \"Does he live there?\"\n },\n {\n \"12206\": \"What is the difference in ages between the friends?\"\n },\n {\n \"12207\": \"Does Bergillac say Poynton is very young?\"\n },\n {\n \"12208\": \"Does Bergillac want to live in the present location?\"\n },\n {\n \"12209\": \"Is Poynton fond of where he was born?\"\n },\n {\n \"12210\": \"Is he a little homesick?\"\n },\n {\n \"12211\": \"What does Poynton call Bergillac?\"\n },\n {\n \"12212\": \"What does Bergillac say happens when one grows older?\"\n },\n {\n \"12213\": \"Did Poynton feel resentful about this?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12203\",\n \"answer\": \"the reapers\"\n },\n {\n \"question_id\": \"12204\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"12205\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12206\",\n \"answer\": \"one year\"\n },\n {\n \"question_id\": \"12207\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12208\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12209\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12210\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12211\",\n \"answer\": \"a perfect brick\"\n },\n {\n \"question_id\": \"12212\",\n \"answer\": \"demands change\"\n },\n {\n \"question_id\": \"12213\",\n \"answer\": \"yes, a little\"\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) -- Olympic star Ryan Lochte said Friday that he tries to maintain a sense of humor and perspective despite his intense focus on swimming -- one that leaves him little time for romantic relationships or much else besides training and competing. \n\nIn an interview with CNN's Piers Morgan, Lochte showed off one of his grills, which he said shows \"part of my personality.\" Just one of the jewel-encrusted items that often adorn his teeth is reportedly worth $25,000. \n\n\"I am taking this seriously, but there's so much more to life than just swimming,\" he said. \"That's what I want to have people know: You know what, I'm having fun doing this.\" \n\nStill, free time for the 28-year-old -- who has been called one of the Olympics' most eligible bachelors -- has been severely limited over the past decade. \n\nWhen asked \"who gets more women,\" he or rival and fellow American swimmer Michael Phelps, Lochte said he does by a \"60/40\" margin. Still, the swimmer -- whose mother, Ike Lochte, created a media hubbub recently when she said her son only had time for \"one-night stands,\" which he explained had to do with sporadic dates and not sexual flings -- said it is hard for him to cultivate a long-term relationship given his training regimen. \n\nPhelps leads U.S. gold rush in pool \n\n\"I am young, but that's not me,\" Lochte said of one-night stands. \n\n\"I like being in relationships. When I am in a relationship, I want to give (a woman) my entire heart,\" he added. \"And lately I haven't been able to do that just because swimming has taken such a big role in my life.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8600\": \"What's Ryan Lochte's age?\"\n },\n {\n \"8601\": \"Where is he from?\"\n },\n {\n \"8602\": \"Where does he compete?\"\n },\n {\n \"8603\": \"What does he compete in?\"\n },\n {\n \"8604\": \"Does he enjoy it?\"\n },\n {\n \"8605\": \"Is he single?\"\n },\n {\n \"8606\": \"Does he have much free time?\"\n },\n {\n \"8607\": \"How long has this been an issue for him?\"\n },\n {\n \"8608\": \"Has it impacted his love life?\"\n },\n {\n \"8609\": \"What colleague is in a similar situation?\"\n },\n {\n \"8610\": \"Where is Lochte mentioned as having jewelry?\"\n },\n {\n \"8611\": \"On which part of his body is he mentioned as having jewelry?\"\n },\n {\n \"8612\": \"Who is he having the discussion with?\"\n },\n {\n \"8613\": \"On what day?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"8600\",\n \"answer\": \"28\"\n },\n {\n \"question_id\": \"8601\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"8602\",\n \"answer\": \"Olympics\"\n },\n {\n \"question_id\": \"8603\",\n \"answer\": \"swimming\"\n },\n {\n \"question_id\": \"8604\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8605\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8606\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8607\",\n \"answer\": \"a decade\"\n },\n {\n \"question_id\": \"8608\",\n \"answer\": \"Still, the swimmer -- whose mother, Ike Lochte, created a media hubbub recently when she said her son only had time for \\\"one-night stands,\\\"\"\n },\n {\n \"question_id\": \"8609\",\n \"answer\": \"Michael Phelps\"\n },\n {\n \"question_id\": \"8610\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"8611\",\n \"answer\": \"teeth\"\n },\n {\n \"question_id\": \"8612\",\n \"answer\": \"Piers Morgan\"\n },\n {\n \"question_id\": \"8613\",\n \"answer\": \"Friday\"\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 Brody Roybal was a baby, he didn't have legs. But that didn't make him feel sad or stop him from trying sports. He tried different kinds of sports. When he tried sled hockey at the age of 7, he loved it. \" That was it,\" says Roybal. He is now 15 and a student in a high school in Chicago. \" It's all I wanted to do.\" Roybal joined a sled hockey team. At the age of 12, he started playing in an adult team. It was much harder for him, but he still worked hard. Now Roybal is a player of the sled hockey team in his country. O' Connor, manager of the team, says Roybal is very good. \" Everybody dreams of going to the Olympic Games and winning the game,\" O' Connor says. \" That's something that I couldn't do, but Roybal can. He is lucky and he can go to the next Olympics.\" It's true that when God closes a door, he opens a window for you.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28183\": \"what was brody missing?\"\n },\n {\n \"28184\": \"did it stop him from being active?\"\n },\n {\n \"28185\": \"what sports did he try?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28183\",\n \"answer\": \"legs\"\n },\n {\n \"question_id\": \"28184\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"28185\",\n \"answer\": \"different kinds\"\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 Syncretism () is the combining of different beliefs, while blending practices of various schools of thought. Syncretism involves the merging or assimilation of several originally discrete traditions, especially in the theology and mythology of religion, thus asserting an underlying unity and allowing for an inclusive approach to other faiths. Syncretism also occurs commonly in expressions of arts and culture, (known as eclecticism) as well as politics (syncretic politics). \n\nThe English word is first attested in the early 17th century, from Modern Latin \"syncretismus\", drawing on Greek (\"synkretismos\"), meaning \"Cretan federation\". \n\nThe Greek word occurs in Plutarch's (1st century AD) essay on \"Fraternal Love\" in his \"Moralia\" (2.490b). He cites the example of the Cretans, who compromised and reconciled their differences and came together in alliance when faced with external dangers. \"And that is their so-called \"Syncretism\" [Union of Cretans]\". \n\nErasmus probably coined the modern usage of the Latin word in his \"Adagia\" (\"Adages\"), published in the winter of 1517–1518, to designate the coherence of dissenters in spite of their differences in theological opinions. In a letter to Melanchthon of April 22, 1519, Erasmus specifically adduced the Cretans of Plutarch as an example of his adage \"Concord is a mighty rampart\". \n\nOvert syncretism in folk belief may show cultural acceptance of an alien or previous tradition, but the \"other\" cult may survive or infiltrate without authorized \"syncresis\" nevertheless. For example, some Conversos developed a sort of cult for martyr-victims of the Spanish Inquisition, thus incorporating elements of Catholicism while resisting it.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48752\": \"What is syncretism?\"\n },\n {\n \"48753\": \"When was it first attested?\"\n },\n {\n \"48754\": \"and in Greek?\"\n },\n {\n \"48755\": \"where does it commonly occur?\"\n },\n {\n \"48756\": \"anything else?\"\n },\n {\n \"48757\": \"In English what two languages is it derived from?\"\n },\n {\n \"48758\": \"In Greek, did it appear in an essay?\"\n },\n {\n \"48759\": \"What was the name of it?\"\n },\n {\n \"48760\": \"Did the Cretans compromise?\"\n },\n {\n \"48761\": \"Did they form an alliance?\"\n },\n {\n \"48762\": \"When?\"\n },\n {\n \"48763\": \"Did Erasmus use the word?\"\n },\n {\n \"48764\": \"In what work?\"\n },\n {\n \"48765\": \"Was it published?\"\n },\n {\n \"48766\": \"when?\"\n },\n {\n \"48767\": \"Who did he write a letter to?\"\n },\n {\n \"48768\": \"When?\"\n },\n {\n \"48769\": \"what was it an example of?\"\n },\n {\n \"48770\": \"What religion was incorporated?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"48752\",\n \"answer\": \"the combining of different beliefs, while blending practices of various schools of thought\"\n },\n {\n \"question_id\": \"48753\",\n \"answer\": \"the early 17th century,\"\n },\n {\n \"question_id\": \"48754\",\n \"answer\": \"1st century AD\"\n },\n {\n \"question_id\": \"48755\",\n \"answer\": \"in expressions of arts and culture,\"\n },\n {\n \"question_id\": \"48756\",\n \"answer\": \"as well as politics\"\n },\n {\n \"question_id\": \"48757\",\n \"answer\": \"Modern Latin and Greek\"\n },\n {\n \"question_id\": \"48758\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48759\",\n \"answer\": \"an essay on \\\"Fraternal Love\\\" in his \\\"Moralia Untitled though\"\n },\n {\n \"question_id\": \"48760\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48761\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48762\",\n \"answer\": \"when faced with external dangers.\"\n },\n {\n \"question_id\": \"48763\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48764\",\n \"answer\": \"Adagia\"\n },\n {\n \"question_id\": \"48765\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48766\",\n \"answer\": \"the winter of 1517\\u20131518,\"\n },\n {\n \"question_id\": \"48767\",\n \"answer\": \"Melanchthon\"\n },\n {\n \"question_id\": \"48768\",\n \"answer\": \"April 22, 1519\"\n },\n {\n \"question_id\": \"48769\",\n \"answer\": \"the adage \\\"Concord is a mighty rampart\\\"\"\n },\n {\n \"question_id\": \"48770\",\n \"answer\": \"elements of Catholicism but I think the definition would be combining any part of belief systems\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John Smith was a very handsome young man but he was lazy. He had finished his education and was happy to sit in his room and listen to the radio all day long. In fact, he had been doing nothing for almost six months, which worried his father a lot. One day Mr. Smith decided that he had to do something. \"Johnny, When I was your age I was working and supporting my ten brothers and sisters. I want you to go out and get a job.\" So that was what he did. In fact, in the next three months, Johnny started ten jobs and was fired from ten jobs. He explained to his father. \n\n\"They wanted me to be at work at 8:00 a. m. and told me to do all sorts of unpleasant things.\" \n\n\"I don't care how you do it,\" Mr. Smith said. \"Either you earn some money or move out of the house. I gave you one week's time.\" \n\nIn the next few days Johnny began to change. He still stayed in his room all day, but spent his time writing letters and reading through the newspapers. More and more posts began to arrive for him. He bought a new suit for himself and invited his parents to the theatre and for dinner afterwards at the most expensive restaurant in town. When his proud parents arrived home after their evening hour, a policeman was waiting at the front door. \n\n\"John Smith,\" he said as he handed him a piece of paper, \"I'll see you in the court tomorrow.\" \n\nWhen he got outside, Johnny told his parents everything. \"When you told me to earn some money, I decided to put an advertisement in the newspaper saying, 'New way to money fast! Send me $ 5 and I'll tell you my secret.' When I received the money I wrote back telling people to do as I do.\" \n\nJohnny was fined $250 by the court and was ordered to pay all the people back. As he left the court house feeling very ashamed, a newspaper man came up to him, \"Young man, would you like to tell your story to my newspaper for $2,500?\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77219\": \"Was John involved in honest work?\"\n },\n {\n \"77220\": \"Was he unattractive?\"\n },\n {\n \"77221\": \"Who did he live with?\"\n },\n {\n \"77222\": \"What did he go shop and purchase for himself?\"\n },\n {\n \"77223\": \"How many employment opportunities had he engaged in?\"\n },\n {\n \"77224\": \"Was he good at them?\"\n },\n {\n \"77225\": \"Where was he treating his paternal units?\"\n },\n {\n \"77226\": \"Was he praised by the authorities?\"\n },\n {\n \"77227\": \"How much was the punishment for his crime?\"\n },\n {\n \"77228\": \"How many paternal aunts and uncles does he have?\"\n },\n {\n \"77229\": \"Who wanted to pay him $2500?\"\n },\n {\n \"77230\": \"Who was waiting for them when they got home from being treated out?\"\n },\n {\n \"77231\": \"How many siblings did his father have?\"\n },\n {\n \"77232\": \"Over what time from did he have his 10 jobs?\"\n },\n {\n \"77233\": \"Was he a very active young man?\"\n },\n {\n \"77234\": \"What was the price for his \\\"Secret\\\"?\"\n },\n {\n \"77235\": \"And his fine for the scam?\"\n },\n {\n \"77236\": \"Did he have to do restitution?\"\n },\n {\n \"77237\": \"Was he proud of himself?\"\n },\n {\n \"77238\": \"What would he do in his bedroom all day before the scam?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77219\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77220\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77221\",\n \"answer\": \"His father\"\n },\n {\n \"question_id\": \"77222\",\n \"answer\": \"a new suit\"\n },\n {\n \"question_id\": \"77223\",\n \"answer\": \"ten\"\n },\n {\n \"question_id\": \"77224\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77225\",\n \"answer\": \"his room\"\n },\n {\n \"question_id\": \"77226\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77227\",\n \"answer\": \"He had to move out in one week\"\n },\n {\n \"question_id\": \"77228\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77229\",\n \"answer\": \"a newspaper man\"\n },\n {\n \"question_id\": \"77230\",\n \"answer\": \"a policeman\"\n },\n {\n \"question_id\": \"77231\",\n \"answer\": \"ten\"\n },\n {\n \"question_id\": \"77232\",\n \"answer\": \"the next three months\"\n },\n {\n \"question_id\": \"77233\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77234\",\n \"answer\": \"$ 5\"\n },\n {\n \"question_id\": \"77235\",\n \"answer\": \"$250\"\n },\n {\n \"question_id\": \"77236\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77237\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77238\",\n \"answer\": \"listen to the radio all day long\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John wanted to have a birthday party for his son, Mike. John and his wife Sara knew that their son loved clowns, as did their daughter Jane. So they looked up a place to have a clown come to his birthday party. When the clown arrived, ten of Mikes friends showed up to watch the show. His parents had sent out 12 invites, thinking 6 or 8 kids would come. The clown started the show by squirting some water from a flower into John's face. This caused John's face to turn red. After the show, when everyone had left, it was up to John and Sara to clean up after the party. There was food everywhere; they had had salad and there was lettuce on the ground. Later that evening it was dinnertime and the family had to choose what to eat. The choices were order a pizza, make hamburgers, go get fried chicken or make noodles. Since it was Mike's birthday they let him choose. He really wanted pizza so they called up Pizza Palace to place their order. When the pizza arrived it did not come in a square box like most pizzas. Instead it was in a round box that no one had ever seen. John gave everybody a slice and then placed Mike in his lap to eat dinner.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89005\": \"Who wanted to throw a party?\"\n },\n {\n \"89006\": \"for who?\"\n },\n {\n \"89007\": \"what is his name?\"\n },\n {\n \"89008\": \"what is mike's mother's name?\"\n },\n {\n \"89009\": \"What does Mike love?\"\n },\n {\n \"89010\": \"and who else did?\"\n },\n {\n \"89011\": \"Who was she to Mike?\"\n },\n {\n \"89012\": \"How many friends came over to the celebration?\"\n },\n {\n \"89013\": \"How many were invited?\"\n },\n {\n \"89014\": \"how many did they think would make it?\"\n },\n {\n \"89015\": \"what did the clown do first?\"\n },\n {\n \"89016\": \"then what happened?\"\n },\n {\n \"89017\": \"where did the water come from?\"\n },\n {\n \"89018\": \"Who had to tidy up afterwards?\"\n },\n {\n \"89019\": \"What did John ask for for dinner?\"\n },\n {\n \"89020\": \"What were there other options?\"\n },\n {\n \"89021\": \"would they have had to make the friend chicken?\"\n },\n {\n \"89022\": \"What shape was the container for the pizza?\"\n },\n {\n \"89023\": \"where did Mike sit to have his meal?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89005\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"89006\",\n \"answer\": \"his son\"\n },\n {\n \"question_id\": \"89007\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"89008\",\n \"answer\": \"Sara\"\n },\n {\n \"question_id\": \"89009\",\n \"answer\": \"clowns\"\n },\n {\n \"question_id\": \"89010\",\n \"answer\": \"Jane.\"\n },\n {\n \"question_id\": \"89011\",\n \"answer\": \"his sister\"\n },\n {\n \"question_id\": \"89012\",\n \"answer\": \"ten\"\n },\n {\n \"question_id\": \"89013\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"89014\",\n \"answer\": \"6 or 8 kids\"\n },\n {\n \"question_id\": \"89015\",\n \"answer\": \"squirted water into John's face\"\n },\n {\n \"question_id\": \"89016\",\n \"answer\": \"his face turned red\"\n },\n {\n \"question_id\": \"89017\",\n \"answer\": \"a flower\"\n },\n {\n \"question_id\": \"89018\",\n \"answer\": \"John and Sara\"\n },\n {\n \"question_id\": \"89019\",\n \"answer\": \"pizza\"\n },\n {\n \"question_id\": \"89020\",\n \"answer\": \"hamburgers, fried chicken, or noodles\"\n },\n {\n \"question_id\": \"89021\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89022\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"89023\",\n \"answer\": \"In John's lap\"\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 Digital rights management (DRM) is a set of access control technologies for restricting the use of proprietary hardware and copyrighted works. DRM technologies try to control the use, modification, and distribution of copyrighted works (such as software and multimedia content), as well as systems within devices that enforce these policies. \n\nThe use of digital rights management is not universally accepted. Proponents of DRM argue that it is necessary to prevent intellectual property from being copied freely, just as physical locks are needed to prevent personal property from being stolen, that it can help the copyright holder maintain artistic control, and that it can ensure continued revenue streams. Those opposed to DRM contend there is no evidence that DRM helps prevent copyright infringement, arguing instead that it serves only to inconvenience legitimate customers, and that DRM helps big business stifle innovation and competition. Furthermore, works can become permanently inaccessible if the DRM scheme changes or if the service is discontinued. DRM can also restrict users from exercising their legal rights under the copyright law, such as backing up copies of CDs or DVDs (instead having to buy another copy, if it can still be purchased), lending materials out through a library, accessing works in the public domain, or using copyrighted materials for research and education under the fair use doctrine, and under French law. The Electronic Frontier Foundation (EFF) and the Free Software Foundation (FSF) consider the use of DRM systems to be an anti-competitive practice.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42922\": \"what does DRM stand for?\"\n },\n {\n \"42923\": \"does it control access to technology?\"\n },\n {\n \"42924\": \"what kind of works does it control access to?\"\n },\n {\n \"42925\": \"does this include software?\"\n },\n {\n \"42926\": \"can it affect the device itself?\"\n },\n {\n \"42927\": \"is it widely accepted?\"\n },\n {\n \"42928\": \"what do those who dislike it say there is no evidence of?\"\n },\n {\n \"42929\": \"has it been compared to physical locks?\"\n },\n {\n \"42930\": \"can it stop people from making copies of their cds?\"\n },\n {\n \"42931\": \"what would happen if it goes away?\"\n },\n {\n \"42932\": \"does it try to control how people use content?\"\n },\n {\n \"42933\": \"what does it help businesses do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42922\",\n \"answer\": \"Digital rights management\"\n },\n {\n \"question_id\": \"42923\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42924\",\n \"answer\": \"copyrighted\"\n },\n {\n \"question_id\": \"42925\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42926\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42927\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42928\",\n \"answer\": \"that it helps prevent copyright infringement\"\n },\n {\n \"question_id\": \"42929\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42930\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42931\",\n \"answer\": \"works can become permanently inaccessible\"\n },\n {\n \"question_id\": \"42932\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42933\",\n \"answer\": \"stifle innovation and competition\"\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 XVI. \n\nShort Allowance \n\n\n\nFive men had deserted from the fort trusting to the promises made by General St. Leger, and one had returned, after having suffered more than death, rejoicing because he was able to be once again with those whom he had betrayed. \n\nAt the moment, however, we had no thought of the deserter, but saw before us only a former comrade who had come out from the very jaws of death to claim protection. \n\nThe poor fellow had been cruelly cut on the legs and arms by the savages while they were bringing him across the river, and had lost much blood. His face and hands were covered with huge blisters, and it was not necessary either Sergeant Corney or I should ask how he came by them, for we knew through bitterest experience what the squaws and children would do when a white man was at their mercy. \n\nNot until a full hour had passed could Reuben Cox tell his story, and even then he was in such a sorry plight that it was possible for him to speak only a moment at a time; but before morning came--before we were able to do very much toward relieving his sufferings--we had a fairly good account of all that had occurred from the moment the five foolish men clambered over the stockade until our cannon had done its work of mercy. \n\nIt seems that the deserters, after getting outside the fort, decided to make their way as nearly to St. Leger's quarters as might be possible, and to that end made a long détour to the westward. The sun had risen before they came upon a sentinel, and he was, fortunately, as it seemed to them, one of the British regulars. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81974\": \"Who had been cut?\"\n },\n {\n \"81975\": \"Was it a bad injury?\"\n },\n {\n \"81976\": \"Where was he cut?\"\n },\n {\n \"81977\": \"By whom?\"\n },\n {\n \"81978\": \"Was he bleeding?\"\n },\n {\n \"81979\": \"Where did the savages bring him?\"\n },\n {\n \"81980\": \"How was his face maimed?\"\n },\n {\n \"81981\": \"How did that happen?\"\n },\n {\n \"81982\": \"What ethnicity was the man?\"\n },\n {\n \"81983\": \"What was his name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"81974\",\n \"answer\": \"a former comrade\"\n },\n {\n \"question_id\": \"81975\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81976\",\n \"answer\": \"on the legs and arms\"\n },\n {\n \"question_id\": \"81977\",\n \"answer\": \"the savages\"\n },\n {\n \"question_id\": \"81978\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81979\",\n \"answer\": \"across the river,\"\n },\n {\n \"question_id\": \"81980\",\n \"answer\": \"with huge blisters\"\n },\n {\n \"question_id\": \"81981\",\n \"answer\": \"through bitterest experience\"\n },\n {\n \"question_id\": \"81982\",\n \"answer\": \"white\"\n },\n {\n \"question_id\": \"81983\",\n \"answer\": \"Reuben Cox\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United States Air Force (USAF) is the aerial warfare service branch of the United States Armed Forces and one of the seven American uniformed services. Initially part of the United States Army, the USAF was formed as a separate branch of the military on 18 September 1947 under the National Security Act of 1947. It is the most recent branch of the U.S. military to be formed, and is the largest and one of the world's most technologically advanced air forces. The USAF articulates its core functions as Nuclear Deterrence Operations, Special Operations, Air Superiority, Global Integrated ISR, Space Superiority, Command and Control, Cyberspace Superiority, Personnel Recovery, Global Precision Attack, Building Partnerships, Rapid Global Mobility and Agile Combat Support. \n\nThe U.S. Air Force is a military service organized within the Department of the Air Force, one of the three military departments of the Department of Defense. The Air Force is headed by the civilian Secretary of the Air Force, who reports to the Secretary of Defense, and is appointed by the President with Senate confirmation. The highest-ranking military officer in the Department of the Air Force is the Chief of Staff of the Air Force, who exercises supervision over Air Force units, and serves as a member of the Joint Chiefs of Staff. Air Force combat and mobility forces are assigned, as directed by the Secretary of Defense, to the Combatant Commanders, and neither the Secretary of the Air Force nor the Chief of Staff have operational command authority over them.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53411\": \"What is the aerial warfare service branch of the United States Armed forces called?\"\n },\n {\n \"53412\": \"What branch was it originally a part of?\"\n },\n {\n \"53413\": \"When was it formed as a seperate branch?\"\n },\n {\n \"53414\": \"Who organizes the U.S. Air Force?\"\n },\n {\n \"53415\": \"How many military departments are in the Department of defence?\"\n },\n {\n \"53416\": \"Who is in charge of the Air Force\"\n },\n {\n \"53417\": \"Who does he report to?\"\n },\n {\n \"53418\": \"Does the Secretary of Defense direct the Air Forces combat and mobility forces?\"\n },\n {\n \"53419\": \"How does the USAF articulate is core functions?\"\n },\n {\n \"53420\": \"Who appoints the Secretary of the Air Force with Senate confirmation?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53411\",\n \"answer\": \"The United States Air Force\"\n },\n {\n \"question_id\": \"53412\",\n \"answer\": \"the United States Army\"\n },\n {\n \"question_id\": \"53413\",\n \"answer\": \"18 September 1947\"\n },\n {\n \"question_id\": \"53414\",\n \"answer\": \"Department of the Air Force\"\n },\n {\n \"question_id\": \"53415\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"53416\",\n \"answer\": \"civilian Secretary of the Air Force\"\n },\n {\n \"question_id\": \"53417\",\n \"answer\": \"who reports to the Secretary of Defense\"\n },\n {\n \"question_id\": \"53418\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53419\",\n \"answer\": \"as Nuclear Deterrence Operations, Special Operations, Air Superiority, Global Integrated ISR, Space Superiority, Command and Control, Cyberspace Superiority, Personnel Recovery, Global Precision Attack, Building Partnerships, Rapid Global Mobility and Agile Combat Support.\"\n },\n {\n \"question_id\": \"53420\",\n \"answer\": \"the President\"\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 Short Skirts Are Out! \n\nAfter decades of skimpy skirts and sleeveless tops on game days, some schools in the US are saying cheerleader uniforms will have to meet stricter dress codes when they are worn in class. \n\nIn Lake County, Florida, cheerleaders with uniforms too skimpy for the code are being asked to wear long shorts or trousers under their skirts and a T-shirt under the sleeveless tops, according to a district memo. Principals at two of Lake's eight high schools - Leesburg and Lake Minneola - are not allowing the outfits in school at all. \n\nMichelle Thomas, a cheerleader at Leesburg High School, was disappointed when she learned she couldn't wear her outfit to school on game days. \n\n\"It shows that we're a team just like all the other sports,\" she said. \n\nBut the school administrators did not agree. \"During the educational portion of the day, they have to meet the dress code just like every other student,\" said school board chairwoman Debbie Stivender, who ordered the staff to bring the outfits into line with the dress code. \n\nBare midriffs are banned across the state by the Florida High School Athletic Association, but no state rules mention cheerleader miniskirts. Sheila Noone, a spokeswoman for cheerleading uniform company Varsity Brands, says the outfits haven't become more revealing over the last 10 years. She says that the short skirts are designed to help the girls jump and kick. \n\n\"Cheerleading is athletic,\" Noone said. \"There's a lot of jumping, so you won't want a knee-length skirt that might hamper a tie touch.\" \n\nMost cheerleaders were sad to hear the news, but say they'll follow the rules. Even male cheerleaders, whose pants and tops meet dress codes, chose not to wear their outfits to show unity. \n\n\"I understanding, because they are kind of short,\" said Holly Bishop, 14, a Lake Minneola High School cheerleader, about her miniskirt. \"It would have been really, really cool to wear them to school.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10176\": \"What outfit has been banned at some schools?\"\n },\n {\n \"10177\": \"Where?\"\n },\n {\n \"10178\": \"How many high schools are in that county?\"\n },\n {\n \"10179\": \"How many have banned the uniform?\"\n },\n {\n \"10180\": \"Where does Michelle Thomas go to school?\"\n },\n {\n \"10181\": \"What sport is she in?\"\n },\n {\n \"10182\": \"What does she want to wear on game days?\"\n },\n {\n \"10183\": \"Why do they need short skirts?\"\n },\n {\n \"10184\": \"How old is Holly Bishop?\"\n },\n {\n \"10185\": \"Where is she a cheerleader?\"\n },\n {\n \"10186\": \"What portion of the day should they be dressed to code?\"\n },\n {\n \"10187\": \"Will the cheerleaders go by the rules?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"10176\",\n \"answer\": \"cheerleader uniforms will have to meet stricter dress codes\"\n },\n {\n \"question_id\": \"10177\",\n \"answer\": \"Lake County, Florida\"\n },\n {\n \"question_id\": \"10178\",\n \"answer\": \"two of Lake's eight high schools\"\n },\n {\n \"question_id\": \"10179\",\n \"answer\": \"two of Lake's eight high schools - Leesburg and Lake Minneola - are not allowing the outfits in school at all.\"\n },\n {\n \"question_id\": \"10180\",\n \"answer\": \"Michelle Thomas, a cheerleader at Leesburg High Schoo\"\n },\n {\n \"question_id\": \"10181\",\n \"answer\": \"a cheerleader at Leesburg High Schoo\"\n },\n {\n \"question_id\": \"10182\",\n \"answer\": \"couldn't wear her outfit\"\n },\n {\n \"question_id\": \"10183\",\n \"answer\": \"short skirts are designed to help the girls jump and kick.\"\n },\n {\n \"question_id\": \"10184\",\n \"answer\": \"Holly Bishop, 14\"\n },\n {\n \"question_id\": \"10185\",\n \"answer\": \"Holly Bishop, 14, a Lake Minneola\"\n },\n {\n \"question_id\": \"10186\",\n \"answer\": \"the educational portion of the day, they have to meet the dress code\"\n },\n {\n \"question_id\": \"10187\",\n \"answer\": \"but say they'll follow the rules.\"\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 Tel Aviv is a major city in Israel, located on the country's Mediterranean coastline. It is the financial center and the technology hub of Israel, with a population of , making it Israel's second-largest city. Tel Aviv is the largest city in the Gush Dan region of Israel. Tel Aviv is also a focal point in the high-tech concentration known as the Silicon Wadi. \n\nTel Aviv is governed by the Tel Aviv-Yafo Municipality, headed by Ron Huldai, and is home to many foreign embassies. Tel Aviv is a global city and is the 32nd most important financial center in the world. Tel Aviv is known to have the third-largest economy of any city in the Middle East after Abu Dhabi and Kuwait City. The city has the 31st highest cost of living in the world. Known as \"The City that Never Sleeps,\" Tel Aviv receives over a million international visitors annually. A \"party capital\" in the Middle East, it has a lively nightlife and 24-hour culture. \n\nThe city was founded in 1909 by Jews on the outskirts of the ancient port city of Jaffa. Its name means Spring Hill, though the hill was mostly sand. The modern city's first neighborhoods had already been established in 1886, the first of which was Neve Tzedek.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57685\": \"What city is ranked the 32nd most important financial center in the world?\"\n },\n {\n \"57686\": \"Which city has the largest economy in in the Middle East?\"\n },\n {\n \"57687\": \"Which city is second?\"\n },\n {\n \"57688\": \"What city has the 31st highest cos of living anywhere?\"\n },\n {\n \"57689\": \"What's it's nickname?\"\n },\n {\n \"57690\": \"How many international visitors does the city get?\"\n },\n {\n \"57691\": \"Yearly?\"\n },\n {\n \"57692\": \"What's a college student sounding description of the city?\"\n },\n {\n \"57693\": \"Why is the city described that way?\"\n },\n {\n \"57694\": \"What people founded the city?\"\n },\n {\n \"57695\": \"From where?\"\n },\n {\n \"57696\": \"What was the first neighborhood in Tel Aviv?\"\n },\n {\n \"57697\": \"Where is Tel Aviv located?\"\n },\n {\n \"57698\": \"Is it on a coastline?\"\n },\n {\n \"57699\": \"Which one?\"\n },\n {\n \"57700\": \"Is it the largest city in Israel?\"\n },\n {\n \"57701\": \"Is it the biggest city in the Gush Dan region?\"\n },\n {\n \"57702\": \"Who is the leader of Tel Aviv?\"\n },\n {\n \"57703\": \"What is the governing municipality?\"\n },\n {\n \"57704\": \"Is Tel Aviv considered a tech hub?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57685\",\n \"answer\": \"Tel Aviv\"\n },\n {\n \"question_id\": \"57686\",\n \"answer\": \"Kuwait City\"\n },\n {\n \"question_id\": \"57687\",\n \"answer\": \"Abu Dhabi\"\n },\n {\n \"question_id\": \"57688\",\n \"answer\": \"Tel Aviv\"\n },\n {\n \"question_id\": \"57689\",\n \"answer\": \"The City that Never Sleeps\"\n },\n {\n \"question_id\": \"57690\",\n \"answer\": \"over a million\"\n },\n {\n \"question_id\": \"57691\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57692\",\n \"answer\": \"party capital\"\n },\n {\n \"question_id\": \"57693\",\n \"answer\": \"for it's nightlife and 24-hour culture\"\n },\n {\n \"question_id\": \"57694\",\n \"answer\": \"Jews\"\n },\n {\n \"question_id\": \"57695\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"57696\",\n \"answer\": \"Neve Tzedek\"\n },\n {\n \"question_id\": \"57697\",\n \"answer\": \"Israel\"\n },\n {\n \"question_id\": \"57698\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57699\",\n \"answer\": \"the Mediterranean coastline\"\n },\n {\n \"question_id\": \"57700\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57701\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57702\",\n \"answer\": \"Ron Huldai\"\n },\n {\n \"question_id\": \"57703\",\n \"answer\": \"Tel Aviv-Yafo Municipality\"\n },\n {\n \"question_id\": \"57704\",\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 There once was a boy named Kevin. He met Jessica one afternoon at a park on a hot summer day. They both started talking and became great friends. They spent the whole day together and ate their lunches together next to the pond. Kevin sure enjoyed the park more than he liked going to the beach or store. There were many ducks, frogs, birds and chipmunks playing around the pond. In fact, one of the chipmunks even came up and stole Kevin's car keys when he was eating! Kevin knew that he needed to go have his keys, but the chipmunk ran with an evil smile on its face. Eventually, the chipmunk ran into its hole that he called home. Kevin tried everything he could to have the chipmunk come out with his keys, but he couldn't find out how to make the little guy give up. Finally, Jessica came over and placed a potato chip at the opening to the hole. In seconds, the chipmunk came out with the keys and dropped them in front of Kevin right before grabbing the chip and running back into the hole. The chipmunk then went in to have his snack and left Kevin and Jessica alone. Kevin thought that maybe next time he could go to the park in the early spring or winter so that the chipmunks would be busy sleeping during the cold weather months. Kevin then said goodbye to Jessica and went home.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36029\": \"What was the boy's name?\"\n },\n {\n \"36030\": \"Who did he meet at the park?\"\n },\n {\n \"36031\": \"Was it hot that day?\"\n },\n {\n \"36032\": \"Did they talk?\"\n },\n {\n \"36033\": \"Did they spend the whole day together?\"\n },\n {\n \"36034\": \"Where did they eat lunch?\"\n },\n {\n \"36035\": \"Did he enjoy the park?\"\n },\n {\n \"36036\": \"How many kinds of animals were there?\"\n },\n {\n \"36037\": \"Who stole his car keys?\"\n },\n {\n \"36038\": \"Did it have an evil smile?\"\n },\n {\n \"36039\": \"Where did it run to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36029\",\n \"answer\": \"Kevin.\"\n },\n {\n \"question_id\": \"36030\",\n \"answer\": \"Jessica.\"\n },\n {\n \"question_id\": \"36031\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36032\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36033\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36034\",\n \"answer\": \"Next to the pond.\"\n },\n {\n \"question_id\": \"36035\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36036\",\n \"answer\": \"Four.\"\n },\n {\n \"question_id\": \"36037\",\n \"answer\": \"One of the chipmunks.\"\n },\n {\n \"question_id\": \"36038\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36039\",\n \"answer\": \"Its hole.\"\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 Biodiversity, a contraction of \"biological diversity,\" generally refers to the variety and variability of life on Earth. One of the most widely used definitions defines it in terms of the variability within species, between species, and between ecosystems. It is a measure of the variety of organisms present in different ecosystems. This can refer to genetic variation, ecosystem variation, or species variation (number of species) within an area, biome, or planet. Terrestrial biodiversity tends to be greater near the equator, which seems to be the result of the warm climate and high primary productivity. Biodiversity is not distributed evenly on Earth. It is richest in the tropics. Marine biodiversity tends to be highest along coasts in the Western Pacific, where sea surface temperature is highest and in the mid-latitudinal band in all oceans. There are latitudinal gradients in species diversity. Biodiversity generally tends to cluster in hotspots, and has been increasing through time, but will be likely to slow in the future.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50525\": \"What tends to cluster in hotspots?\"\n },\n {\n \"50526\": \"Will it speed up or slow down in the future?\"\n },\n {\n \"50527\": \"What's it a contraction of?\"\n },\n {\n \"50528\": \"Does it talk about life on Mars?\"\n },\n {\n \"50529\": \"What type of life does it refer to?\"\n },\n {\n \"50530\": \"Does it encompass a variety of life?\"\n },\n {\n \"50531\": \"Are ecosystems important parts of biodiversity?\"\n },\n {\n \"50532\": \"What about species?\"\n },\n {\n \"50533\": \"What type of gradients are there in species diversity?\"\n },\n {\n \"50534\": \"Which band in all oceans is it highest?\"\n },\n {\n \"50535\": \"Are the sea surface temperatures there higher or lower than other places?\"\n },\n {\n \"50536\": \"Which coasts?\"\n },\n {\n \"50537\": \"What type of biodiversity on those coasts?\"\n },\n {\n \"50538\": \"Is biodiversity distributed evenly on Earth?\"\n },\n {\n \"50539\": \"Is it found more or less in the tropics?\"\n },\n {\n \"50540\": \"What type of biodiversity is greater near the equator?\"\n },\n {\n \"50541\": \"What is that a result of?\"\n },\n {\n \"50542\": \"Is genetic variation part of biodiversity?\"\n },\n {\n \"50543\": \"What other types of variation are as well?\"\n },\n {\n \"50544\": \"Does species variation extend to the whole planet?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"50525\",\n \"answer\": \"Biodiversity\"\n },\n {\n \"question_id\": \"50526\",\n \"answer\": \"slow\"\n },\n {\n \"question_id\": \"50527\",\n \"answer\": \"biological diversity\"\n },\n {\n \"question_id\": \"50528\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50529\",\n \"answer\": \"life on Earth\"\n },\n {\n \"question_id\": \"50530\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50531\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50532\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50533\",\n \"answer\": \"latitudinal gradients\"\n },\n {\n \"question_id\": \"50534\",\n \"answer\": \"mid-latitudinal\"\n },\n {\n \"question_id\": \"50535\",\n \"answer\": \"higher\"\n },\n {\n \"question_id\": \"50536\",\n \"answer\": \"Western Pacific\"\n },\n {\n \"question_id\": \"50537\",\n \"answer\": \"Marine\"\n },\n {\n \"question_id\": \"50538\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50539\",\n \"answer\": \"more\"\n },\n {\n \"question_id\": \"50540\",\n \"answer\": \"Terrestrial\"\n },\n {\n \"question_id\": \"50541\",\n \"answer\": \"warm climate and high primary productivity\"\n },\n {\n \"question_id\": \"50542\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50543\",\n \"answer\": \"ecosystem and species\"\n },\n {\n \"question_id\": \"50544\",\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 FIFTY THREE. \n\nON SAN MINIATO. \n\n\"I would speak with you,\" said Baldassarre, as Romola looked at him in silent expectation. It was plain that he had followed her, and had been waiting for her. She was going at last to know the secret about him. \n\n\"Yes,\" she said, with the same sort of submission that she might have shown under an imposed penance. \"But you wish to go where no one can hear us?\" \n\n\"Where _he_ will not come upon us,\" said Baldassarre, turning and glancing behind him timidly. \"Out--in the air--away from the streets.\" \n\n\"I sometimes go to San Miniato at this hour,\" said Romola. \"If you like, I will go now, and you can follow me. It is far, but we can be solitary there.\" \n\nHe nodded assent, and Romola set out. To some women it might have seemed an alarming risk to go to a comparatively solitary spot with a man who had some of the outward signs of that madness which Tito attributed to him. But Romola was not given to personal fears, and she was glad of the distance that interposed some delay before another blow fell on her. The afternoon was far advanced, and the sun was already low in the west, when she paused on some rough ground in the shadow of the cypress-trunks, and looked round for Baldassarre. He was not far off, but when he reached her, he was glad to sink down on an edge of stony earth. His thickset frame had no longer the sturdy vigour which belonged to it when he first appeared with the rope round him in the Duomo; and under the transient tremor caused by the exertion of walking up the hill, his eyes seemed to have a more helpless vagueness. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33378\": \"Who is the first character to speak in the passage?\"\n },\n {\n \"33379\": \"Who was he speaking to?\"\n },\n {\n \"33380\": \"Did one of them follow the other?\"\n },\n {\n \"33381\": \"Who followed whom?\"\n },\n {\n \"33382\": \"Where do they decide to go next?\"\n },\n {\n \"33383\": \"Why do they decide to go there?\"\n },\n {\n \"33384\": \"Do they travel there together?\"\n },\n {\n \"33385\": \"Has Romola been to San Miniato before?\"\n },\n {\n \"33386\": \"And Baldassarre?\"\n },\n {\n \"33387\": \"Who has a secret?\"\n },\n {\n \"33388\": \"Is Romola easily frightened?\"\n },\n {\n \"33389\": \"What time of day is it?\"\n },\n {\n \"33390\": \"Was San Miniato nearby?\"\n },\n {\n \"33391\": \"What kind of trees did they stop by?\"\n },\n {\n \"33392\": \"Was Baldassarre in good shape?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33378\",\n \"answer\": \"Baldassarre\"\n },\n {\n \"question_id\": \"33379\",\n \"answer\": \"Romola\"\n },\n {\n \"question_id\": \"33380\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33381\",\n \"answer\": \"Baldassarre followed Romola\"\n },\n {\n \"question_id\": \"33382\",\n \"answer\": \"San Miniato\"\n },\n {\n \"question_id\": \"33383\",\n \"answer\": \"So no one could hear them.\"\n },\n {\n \"question_id\": \"33384\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33385\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33386\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"33387\",\n \"answer\": \"Baldassarre\"\n },\n {\n \"question_id\": \"33388\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33389\",\n \"answer\": \"Late afternoon\"\n },\n {\n \"question_id\": \"33390\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"33391\",\n \"answer\": \"Cypress-trunks\"\n },\n {\n \"question_id\": \"33392\",\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 East Asia is the eastern subregion of the Asian continent, which can be defined in either geographical or ethno-cultural terms. Geographically and geopolitically, it includes China (including Hong Kong and Macau), Mongolia, North Korea, South Korea, Japan and Taiwan; it covers about , or about 28% of the Asian continent. GDP(PPP) of East Asia is 32.4 trillion while Nominal GDP is 19.1 trillion USD. \n\nEast Asians comprise around /1e9 round 1 billion people. About 38% of the population of Asia and 22%, or over one fifth of world's population live in East Asia. Although the coastal and riparian areas of the region form one of the world's most populated places, the population in Mongolia and Western China, both landlocked areas, is very sparsely distributed, with Mongolia having the lowest population density of a sovereign state. The overall population density of the region is , about three times the world average of . \n\nHistorically, societies in East Asia have been part of the Chinese cultural sphere, and East Asian vocabulary and scripts are often derived from Classical Chinese and Chinese script. Major religions include Buddhism (mostly Mahayana), Confucianism or Neo-Confucianism, Taoism, Chinese folk religion in China and Taiwan, Shinto in Japan, Korean shamanism in Korea. Shamanism is also prevalent among Mongolians and other indigenous populations of northern East Asia such as the Manchus and Ewenki. Islam is popular in Northwest China and Kazaks in Mongolia.The Chinese calendar is the root from which many other East Asian calendars are derived.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72861\": \"What is a major religion in East Asia?\"\n },\n {\n \"72862\": \"Is Shamanism prevalent among Mongolians?\"\n },\n {\n \"72863\": \"What region is East Asia in?\"\n },\n {\n \"72864\": \"What is East Asian vocabulary derived from?\"\n },\n {\n \"72865\": \"What continent is East Asia on?\"\n },\n {\n \"72866\": \"Is Mongolia population dense?\"\n },\n {\n \"72867\": \"What countries does East Asia include?\"\n },\n {\n \"72868\": \"What % of Asia does East Asia cover?\"\n },\n {\n \"72869\": \"What percent of Asia\\u2019s population is East Asian?\"\n },\n {\n \"72870\": \"What percent of the world\\u2019s population lives in East Asia?\"\n },\n {\n \"72871\": \"How many East Asians are there total?\"\n },\n {\n \"72872\": \"Is Buddhism a religion there?\"\n },\n {\n \"72873\": \"What is popular in northwest china?\"\n },\n {\n \"72874\": \"What calendar is the root of many others?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"72861\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"72862\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"72863\",\n \"answer\": \"The eastern subregion of the Asian continent.\"\n },\n {\n \"question_id\": \"72864\",\n \"answer\": \"Classical Chinese and Chinese script.\"\n },\n {\n \"question_id\": \"72865\",\n \"answer\": \"Asia.\"\n },\n {\n \"question_id\": \"72866\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"72867\",\n \"answer\": \"China (including Hong Kong and Macau), Mongolia, North Korea, South Korea, Japan and Taiwan;\"\n },\n {\n \"question_id\": \"72868\",\n \"answer\": \"28%\"\n },\n {\n \"question_id\": \"72869\",\n \"answer\": \"About 38%\"\n },\n {\n \"question_id\": \"72870\",\n \"answer\": \"22%\"\n },\n {\n \"question_id\": \"72871\",\n \"answer\": \"Around 1 billion.\"\n },\n {\n \"question_id\": \"72872\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"72873\",\n \"answer\": \"Islam.\"\n },\n {\n \"question_id\": \"72874\",\n \"answer\": \"The Chinese calendar.\"\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 XVI. \n\nDISCOVERED. \n\nCummings was bringing up the rear during this march across the city, and when Jake halted he naturally thought it was in obedience to some signal made by Poyor, therefore he remained silent until hearing Neal say imploringly: \n\n\"Go on, Jake. Don't stop now when we have a chance of getting away in safety, for what is gold in comparison with life?\" \n\n\"Have you halted with any idea that it may be possible to carry anything off with us?\" Cummings asked, speaking in a whisper, and Jake replied in the same cautious tone: \n\n\"That's the size of it. You brought us here with the promise that we could make ourselves rich, and when the first little thing goes wrong you run. Now I will do as I please.\" \n\n\"It is nothing less than suicide. We have before us a journey so long and difficult that however small a burden you may have to carry, it will seem all too heavy.\" \n\nBy this time Poyor turned back to learn the cause of the halt, and when it was explained he said gravely: \n\n\"Each instant we stand here brings death so much nearer. Even at this moment watchful eyes may be upon us, and once we are discovered flight will be almost impossible.\" \n\nThe little party stood directly in front of what was evidently the main entrance to the temple. It was formed of twenty slender shafts of white stone which in the moonlight looked translucent, and each column upheld a grotesque figure composed of what appeared to be silver. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12503\": \"Who stopped the group's advance?\"\n },\n {\n \"12504\": \"Who halted the group?\"\n },\n {\n \"12505\": \"Who was in the rear?\"\n },\n {\n \"12506\": \"Who did he believe had signalled?\"\n },\n {\n \"12507\": \"Did he start talking?\"\n },\n {\n \"12508\": \"Who did?\"\n },\n {\n \"12509\": \"Did he agree with stopping?\"\n },\n {\n \"12510\": \"What did he think was more important that gold?\"\n },\n {\n \"12511\": \"Who inquired about taking stuff with them?\"\n },\n {\n \"12512\": \"What did Jake say he had promised?\"\n },\n {\n \"12513\": \"Did he want to run?\"\n },\n {\n \"12514\": \"Did Cummings feel staying was dangerous?\"\n },\n {\n \"12515\": \"Who felt they might be being watched?\"\n },\n {\n \"12516\": \"Did he think escape would be easy?\"\n },\n {\n \"12517\": \"Where were they standing?\"\n },\n {\n \"12518\": \"To what?\"\n },\n {\n \"12519\": \"What was it made of?\"\n },\n {\n \"12520\": \"Of what material?\"\n },\n {\n \"12521\": \"What color?\"\n },\n {\n \"12522\": \"How did they look in the light?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12503\",\n \"answer\": \"the main entrance to the temple\"\n },\n {\n \"question_id\": \"12504\",\n \"answer\": \"Jake\"\n },\n {\n \"question_id\": \"12505\",\n \"answer\": \"Cummings\"\n },\n {\n \"question_id\": \"12506\",\n \"answer\": \"Poyor\"\n },\n {\n \"question_id\": \"12507\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12508\",\n \"answer\": \"Neal\"\n },\n {\n \"question_id\": \"12509\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12510\",\n \"answer\": \"life\"\n },\n {\n \"question_id\": \"12511\",\n \"answer\": \"Cummings\"\n },\n {\n \"question_id\": \"12512\",\n \"answer\": \"we could make ourselves rich\"\n },\n {\n \"question_id\": \"12513\",\n \"answer\": \"Cummings did\"\n },\n {\n \"question_id\": \"12514\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12515\",\n \"answer\": \"poyor\"\n },\n {\n \"question_id\": \"12516\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12517\",\n \"answer\": \"the main entrance\"\n },\n {\n \"question_id\": \"12518\",\n \"answer\": \"the temple\"\n },\n {\n \"question_id\": \"12519\",\n \"answer\": \"twenty slender shafts\"\n },\n {\n \"question_id\": \"12520\",\n \"answer\": \"stone\"\n },\n {\n \"question_id\": \"12521\",\n \"answer\": \"white\"\n },\n {\n \"question_id\": \"12522\",\n \"answer\": \"translucent\"\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 For many people, the name Baskin-Robbins is connected to sweet memories of eating ice cream. Irvine Robbins, who helped create this famous company, died in May at the age of ninety. His career of making fun and exciting ice cream flavors changed the way Americans enjoy this food. \n\nIrvine Robbins opened his first ice cream store in 1945 in California. At the time, there were no stores that sold only ice cream. His sister's husband, Burton Baskin, also opened his own ice cream stores. \n\nIn 1948 they combined their six stores into one business. Baskin and Robbins realized that they were too busy to operate each store well. So, they decided to sell part of each operation to the manager of that store. This permitted the company to grow quickly. \n\nBy 1953, they renamed their company Baskin-Robbins. They advertised that they sold 31 kinds of ice cream to show the many choices buyers had. There was one flavor for every day of the month. \n\nRobbins and Baskin sold \"Lunar Cheesecake \" the day after astronauts landed on the moon in 1969. Other flavors included \"ChaChaCha\", for cherry chocolate chip, and Robbins' personal favorite \"Jamoca Almond Fudge\". They said, \"We sell fun, not just ice cream.\" \n\nBy 1967, there were 500 Baskin-Robbins stores in the United States. The business partners sold their company that year. Today, there are more than 5,800 Baskin-Robbins stores around the world.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96025\": \"When did Irvine Robbins opened his first ice cream store?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96025\",\n \"answer\": \"1945\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Integrated Services Digital Network (ISDN) is a set of communication standards for simultaneous digital transmission of voice, video, data, and other network services over the traditional circuits of the public switched telephone network. It was first defined in 1988 in the CCITT red book. Prior to ISDN, the telephone system was viewed as a way to transport voice, with some special services available for data. The key feature of ISDN is that it integrates speech and data on the same lines, adding features that were not available in the classic telephone system. The ISDN standards define several kinds of access interfaces, such as Basic Rate Interface (BRI), Primary Rate Interface (PRI), Narrowband ISDN (N-ISDN), and Broadband ISDN (B-ISDN). \n\nISDN is a circuit-switched telephone network system, which also provides access to packet switched networks, designed to allow digital transmission of voice and data over ordinary telephone copper wires, resulting in potentially better voice quality than an analog phone can provide. It offers circuit-switched connections (for either voice or data), and packet-switched connections (for data), in increments of 64 kilobit/s. In some countries, ISDN found major market application for Internet access, in which ISDN typically provides a maximum of 128 kbit/s bandwidth in both upstream and downstream directions. Channel bonding can achieve a greater data rate; typically the ISDN B-channels of three or four BRIs (six to eight 64 kbit/s channels) are bonded.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90104\": \"When was ISDN first defined?\"\n },\n {\n \"90105\": \"Where?\"\n },\n {\n \"90106\": \"What does it stand for?\"\n },\n {\n \"90107\": \"Does it support video?\"\n },\n {\n \"90108\": \"What else?\"\n },\n {\n \"90109\": \"What is its key feature?\"\n },\n {\n \"90110\": \"was this available before?\"\n },\n {\n \"90111\": \"What does BRI stand for?\"\n },\n {\n \"90112\": \"What kind of interface is BRI?\"\n },\n {\n \"90113\": \"Can you name other kinds?\"\n },\n {\n \"90114\": \"What are the name of two others?\"\n },\n {\n \"90115\": \"What kind of switches does ISDN use?\"\n },\n {\n \"90116\": \"Can you utilize any others?\"\n },\n {\n \"90117\": \"Which one?\"\n },\n {\n \"90118\": \"What does that do?\"\n },\n {\n \"90119\": \"What kind of wire is used?\"\n },\n {\n \"90120\": \"Does this lead to better or worse quality?\"\n },\n {\n \"90121\": \"How many kilobits are utilized?\"\n },\n {\n \"90122\": \"Whats the max bandwidth?\"\n },\n {\n \"90123\": \"Is that for both directions?\"\n },\n {\n \"90124\": \"What can result in a higher rate?\"\n },\n {\n \"90125\": \"How many are bonded?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"90104\",\n \"answer\": \"1988\"\n },\n {\n \"question_id\": \"90105\",\n \"answer\": \"in the CCITT red book\"\n },\n {\n \"question_id\": \"90106\",\n \"answer\": \"Integrated Services Digital Network\"\n },\n {\n \"question_id\": \"90107\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90108\",\n \"answer\": \"speech\"\n },\n {\n \"question_id\": \"90109\",\n \"answer\": \"it integrates speech and data on the same lines\"\n },\n {\n \"question_id\": \"90110\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90111\",\n \"answer\": \"Basic Rate Interface\"\n },\n {\n \"question_id\": \"90112\",\n \"answer\": \"access interface\"\n },\n {\n \"question_id\": \"90113\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"90114\",\n \"answer\": \"Narrowband ISDN (N-ISDN), and Broadband ISDN (B-ISDN)\"\n },\n {\n \"question_id\": \"90115\",\n \"answer\": \"circuit-switches\"\n },\n {\n \"question_id\": \"90116\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"90117\",\n \"answer\": \"packet-switched\"\n },\n {\n \"question_id\": \"90118\",\n \"answer\": \"carries data\"\n },\n {\n \"question_id\": \"90119\",\n \"answer\": \"copper\"\n },\n {\n \"question_id\": \"90120\",\n \"answer\": \"Better\"\n },\n {\n \"question_id\": \"90121\",\n \"answer\": \"64 kilobit/s\"\n },\n {\n \"question_id\": \"90122\",\n \"answer\": \"128 kbit/s\"\n },\n {\n \"question_id\": \"90123\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90124\",\n \"answer\": \"Channel bonding\"\n },\n {\n \"question_id\": \"90125\",\n \"answer\": \"three or 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 What Is Today's American Dream \n\nThey may not have called it the American Dream, but for centuries people have gone to America in search of freer, happier, and richer lives. But is today's American Dream a mythical concept or still a reality? \n\nIsabel Belarsky's tiny Brooklyn apartment fills with the sound of her father's voice. Sidor Belarsky sings an Aria in Russian and 90-year-old Isabel, her lips painted an elegant red, sways gently to the song coming from her stereo. \n\nIsabel speaks with pride about her father's talent and his success as an opera singer: Albert Einstein was such a fan she says that he invited Sidor to accompany him on his speaking engagements and would ask him to sing to the audience. \n\nHow the Belarskys came to be in America is an extraordinary tale that Isabel loves to tell. It was the offer of a six-month job by a Mormon college president, who had seen Sidor singing in Leningrad, that enabled the Belarskys to escape from Stalin's Russia in 1930. \"Our dream was being in America,\" Isabel says. \"They loved it. My mother could never think of Russia, it was her enemy and my father, he made such a wonderful career here.\" \n\nLike generations of immigrants before them, the Belarskys came to America in search of freedom--to them the American Dream meant liberty. But Isabel says it promised even more. \"The dream is to work, to have a home and to get ahead. You can start as a janitor and become the owner of the building.\" \n\nThe American Dream is not written into the constitution but it is so ingrained in the national psyche that it might as well be. Many point to the second sentence in the Declaration of Independence--the \"certain unalienable rights\" that include \"life, liberty and the pursuit of happiness\" as the \"official\" version of the phrase. But it was actually in 1931 that the term was popularized, when historian James Truslow Adams wrote in The Epic of America that the Dream means \"a better, richer, and happier life for all our citizens of every rank\". \n\nThe concept of the American Dream has not stayed static. For European immigrants, like Isabel, fleeing persecution in the first half of the last century, the Dream was about a life without persecution. \n\nBut somewhere in the middle of the last century the dream changed. As America's post war economy boomed, the new arrivals wanted more than freedom--they wanted a share of the prosperity as well. \n\nIn the 1950s, TV commercials featured housewives proudly showing off kitchens filled with gleaming appliances. The quest for liberation became a quest for Coca Cola. As the century wore on, the materialistic slant of the dream overtook the political side. Dallas and Dynasty suggested this was a country where it was possible to become not just rich, but filthily rich. \n\nCheyanne Smith was shocked at the deprivation that greeted her in America. She arrived in New York from the Caribbean seven years ago. Having watched endless American TV shows as a child, she thought she knew what to expect when her family moved to Brooklyn. Instead, the deprivation of one of New York's poorest neighbourhoods shocked her. \n\n\"I thought this is not America because this is not what I see on television,\" she says. Like Cheyanne, 18-year-old Franscisco Curiel is also ambitious. He came from Mexico City three years ago to go to college here but he's worried that Brooklyn's schools aren't going to give him a good enough education. \"The system is broken; we can't get the superior education that they supposedly want to give us,\" he says. \n\nThrough the centuries America's immigrants have endured terrible hardship and sacrifice so that they and their children can get ahead. Perhaps it's not surprising to hear the members of the Bushwick youth group lament the multiple, low paid jobs that their parents must do simply to get the rent paid and put food on the table. What is startling is that these bright, ambitious youngsters just don't believe that talent and hard work are enough to ensure they will ever have a shot at that mythical American Dream.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58723\": \"Who had the American Dream?\"\n },\n {\n \"58724\": \"What was something they dreamed for?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58723\",\n \"answer\": \"the Belarskys\"\n },\n {\n \"question_id\": \"58724\",\n \"answer\": \"freedom\"\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 North Carolina consists of three main geographic sections: the Atlantic Coastal Plain, which occupies the eastern 45% of the state; the Piedmont region, which contains the middle 35%; and the Appalachian Mountains and foothills. The extreme eastern section of the state contains the Outer Banks, a string of sandy, narrow barrier islands between the Atlantic Ocean and two inland waterways or \"sounds\": Albemarle Sound in the north and Pamlico Sound in the south. They are the two largest landlocked sounds in the United States. \n\nThe coastal plain transitions to the Piedmont region along the Atlantic Seaboard fall line, a line which marks the elevation at which waterfalls first appear on streams and rivers. The Piedmont region of central North Carolina is the state's most urbanized and densely populated section. It consists of gently rolling countryside frequently broken by hills or low mountain ridges. Small, isolated, and deeply eroded mountain ranges and peaks are located in the Piedmont, including the Sauratown Mountains, Pilot Mountain, the Uwharrie Mountains, Crowder's Mountain, King's Pinnacle, the Brushy Mountains, and the South Mountains. The Piedmont ranges from about 300 to 400 feet (91 to 122 m) in elevation in the east to over 1,000 feet (300 m) in the west. Because of the rapid population growth in the Piedmont, a significant part of the rural area in this region is being transformed into suburbs with shopping centers, housing, and corporate offices. Agriculture is steadily declining in importance. The major rivers of the Piedmont, such as the Yadkin and Catawba, tend to be fast-flowing, shallow, and narrow.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75312\": \"what is in the eastern section of North Carolina?\"\n },\n {\n \"75313\": \"and extremely east of that?\"\n },\n {\n \"75314\": \"how many sections is North Carolina divided into?\"\n },\n {\n \"75315\": \"how many \\\"sounds\\\" does it have?\"\n },\n {\n \"75316\": \"which is the southern sound?\"\n },\n {\n \"75317\": \"which region of North Carolina is most urbanized?\"\n },\n {\n \"75318\": \"where is it situated?\"\n },\n {\n \"75319\": \"are the sounds landlocked?\"\n },\n {\n \"75320\": \"which one is in the North?\"\n },\n {\n \"75321\": \"are there bigger ones in the U.S.?\"\n },\n {\n \"75322\": \"what is the highest elevation in Piedmont?\"\n },\n {\n \"75323\": \"Is agriculture still big there?\"\n },\n {\n \"75324\": \"how many rivers are mentioned?\"\n },\n {\n \"75325\": \"are they wide?\"\n },\n {\n \"75326\": \"are they shallow or deep?\"\n },\n {\n \"75327\": \"what is happening to the rural area? of Piedmont?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75312\",\n \"answer\": \"the Atlantic Coastal Plain\"\n },\n {\n \"question_id\": \"75313\",\n \"answer\": \"the Outer Banks\"\n },\n {\n \"question_id\": \"75314\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"75315\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"75316\",\n \"answer\": \"Pamlico Sound\"\n },\n {\n \"question_id\": \"75317\",\n \"answer\": \"the Piedmont\"\n },\n {\n \"question_id\": \"75318\",\n \"answer\": \"central North Carolina\"\n },\n {\n \"question_id\": \"75319\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75320\",\n \"answer\": \"Albemarle Sound\"\n },\n {\n \"question_id\": \"75321\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75322\",\n \"answer\": \"over 1,000 feet\"\n },\n {\n \"question_id\": \"75323\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75324\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"75325\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75326\",\n \"answer\": \"shallow\"\n },\n {\n \"question_id\": \"75327\",\n \"answer\": \"it is being transformed\"\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 XVI \n\nOne sunny forenoon, as Agatha sat reading on the doorstep of the conservatory, the shadow of her parasol deepened, and she, looking up for something denser than the silk of it, saw Trefusis. \n\n\"Oh!\" \n\nShe offered him no further greeting, having fallen in with his habit of dispensing, as far as possible, with salutations and ceremonies. He seemed in no hurry to speak, and so, after a pause, she began, \"Sir Charles--\" \n\n\"Is gone to town,\" he said. \"Erskine is out on his bicycle. Lady Brandon and Miss Lindsay have gone to the village in the wagonette, and you have come out here to enjoy the summer sun and read rubbish. I know all your news already.\" \n\n\"You are very clever, and, as usual, wrong. Sir Charles has not gone to town. He has only gone to the railway station for some papers; he will be back for luncheon. How do you know so much of our affairs?\" \n\n\"I was on the roof of my house with a field-glass. I saw you come out and sit down here. Then Sir Charles passed. Then Erskine. Then Lady Brandon, driving with great energy, and presenting a remarkable contrast to the disdainful repose of Gertrude.\" \n\n\"Gertrude! I like your cheek.\" \n\n\"You mean that you dislike my presumption.\" \n\n\"No, I think cheek a more expressive word than presumption; and I mean that I like it--that it amuses me.\" \n\n\"Really! What are you reading?\" \n\n\"Rubbish, you said just now. A novel.\" \n\n\"That is, a lying story of two people who never existed, and who would have acted very differently if they had existed.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25346\": \"Who was reading?\"\n },\n {\n \"25347\": \"On the doorstep of what?\"\n },\n {\n \"25348\": \"Who did she see?\"\n },\n {\n \"25349\": \"Did he have a habit of dispensing?\"\n },\n {\n \"25350\": \"Who was gone to town?\"\n },\n {\n \"25351\": \"What about Erskine?\"\n },\n {\n \"25352\": \"What was Agatha enjoying?\"\n },\n {\n \"25353\": \"Where did the two ladies go?\"\n },\n {\n \"25354\": \"Where was it?\"\n },\n {\n \"25355\": \"Was Agatha reading a noveL?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"25346\",\n \"answer\": \"Agatha\"\n },\n {\n \"question_id\": \"25347\",\n \"answer\": \"the conservatory\"\n },\n {\n \"question_id\": \"25348\",\n \"answer\": \"Trefusis\"\n },\n {\n \"question_id\": \"25349\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"25350\",\n \"answer\": \"Sir Charles\"\n },\n {\n \"question_id\": \"25351\",\n \"answer\": \"on his bicycle\"\n },\n {\n \"question_id\": \"25352\",\n \"answer\": \"the summer sun\"\n },\n {\n \"question_id\": \"25353\",\n \"answer\": \"to the village\"\n },\n {\n \"question_id\": \"25354\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"25355\",\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) -- It used to be called \"the love that dare not speak its name\" -- particularly in Hollywood, where the revelation of homosexuality was believed to be a career-killer. \n\nClay Aiken recently announced he was gay on the cover of People magazine. \n\nNow, out gays and lesbians are as casually visible as the cover of People magazine, which has recently run stories on Ellen DeGeneres' wedding to Portia de Rossi and Clay Aiken's decision to discuss his sexuality. \n\nSo, in a time when self-declared bisexual Tila Tequila can have a highly rated MTV show on looking for a partner of either sex, Lindsay Lohan talks about her relationship with DJ Samantha Ronson and \"Star Trek's\" George Takei can have a very public wedding with his longtime partner, is coming out still a big deal? \n\nPublicist Howard Bragman, author of the forthcoming \"Where's My Fifteen Minutes\" (Portfolio), says that it is. \n\n\"Every person that comes out is another barrier coming down,\" Bragman, who is openly gay, told CNN.com. Acceptance by the mainstream public, he observes, is easier but by no means automatic, particularly when issues such as gay marriage are at stake. \"I look at it as a long-term process. The revolution is over -- now it's an evolution.\" Watch \"American Morning's\" Lola Ogunnaike look at changing attitudes » \n\nBragman was around when a performer revealing his or her homosexuality could still shock. He helped guide Dick Sargent when the \"Bewitched\" star came out of the closet in 1989, and remembers when it was difficult to get support for movies such as \"Philadelphia,\" the 1993 film that won Tom Hanks an Oscar as a lawyer dying of AIDS. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60822\": \"Who announced their homosexuality freshly?\"\n },\n {\n \"60823\": \"Who had a popular show on MTV?\"\n },\n {\n \"60824\": \"Was announcing homosexual orientation for entertainers normal in the late 80's?\"\n },\n {\n \"60825\": \"What movie was awarded in 1993?\"\n },\n {\n \"60826\": \"Who starred in it?\"\n },\n {\n \"60827\": \"Who else identifies as homosexual?\"\n },\n {\n \"60828\": \"Who is she married to?\"\n },\n {\n \"60829\": \"Who is the writer mentioned in the article?\"\n },\n {\n \"60830\": \"What did he write?\"\n },\n {\n \"60831\": \"Who was dating a disc jockey?\"\n },\n {\n \"60832\": \"Who was her girlfriend?\"\n },\n {\n \"60833\": \"Who admitted their orientation in 1989?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60822\",\n \"answer\": \"Clay Aiken\"\n },\n {\n \"question_id\": \"60823\",\n \"answer\": \"Tila Tequila\"\n },\n {\n \"question_id\": \"60824\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60825\",\n \"answer\": \"\\\"Philadelphia,\\\"\"\n },\n {\n \"question_id\": \"60826\",\n \"answer\": \"Tom Hanks\"\n },\n {\n \"question_id\": \"60827\",\n \"answer\": \"Ellen DeGeneres\"\n },\n {\n \"question_id\": \"60828\",\n \"answer\": \"Portia de Rossi\"\n },\n {\n \"question_id\": \"60829\",\n \"answer\": \"Howard Bragman\"\n },\n {\n \"question_id\": \"60830\",\n \"answer\": \"\\\"Where's My Fifteen Minutes\\\"\"\n },\n {\n \"question_id\": \"60831\",\n \"answer\": \"Lindsay Lohan\"\n },\n {\n \"question_id\": \"60832\",\n \"answer\": \"Samantha Ronson\"\n },\n {\n \"question_id\": \"60833\",\n \"answer\": \"Dick Sargent\"\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 four New York Times staffers recently held captive for about a week by pro-Moammar Gadhafi troops made it out of Libya alive. \n\nHowever, they're unsure if their driver, Mohammed, did. And the experience is forcing the seasoned war journalists to reconsider how they look at the world. \n\n\"We probably should have died those first 12 hours, given, you know, the intensity of the firefight and the positions we were in,\" Anthony Shadid told Anderson Cooper on CNN's \"AC360.\" \n\nBut when Shadid and his colleagues Lynsey Addario, Stephen Farrell and Tyler Hicks emerged unscathed from the firefight, they fled right into the arms of their soon-to-be captors, who were manning a government checkpoint. \n\nMohammed got out of their vehicle at the checkpoint. \n\nThe journalists, who were blindfolded soon thereafter, aren't sure if they ever saw him again, but suspect the worst. \n\nAddario recalled, \"I looked over, and I saw our car, and one of the doors was open, and there was a guy taking out stuff and putting it on the sidewalk. And I looked down and next to the driver's side was a man, face down with one arm outstretched, and he clearly wasn't moving. And my initial thought was, 'It's Mohammed.' But I don't -- I didn't see his face, and it's hard to say, because we don't know. You know, there was so much chaos after the car was stopped.\" \n\nHicks said Mohammed was about 21 years old and a great driver. \n\n\"We've been checking the jails, the hospitals, morgues, everything,\" Hicks said. \"And still, nothing has come forward. And you know, this is all weighing very heavily on all of us... We feel this huge responsibility.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18579\": \"What was the name of the driver in the story?\"\n },\n {\n \"18580\": \"How many were taken captive in the story?\"\n },\n {\n \"18581\": \"Who did they work for?\"\n },\n {\n \"18582\": \"Who seized them?\"\n },\n {\n \"18583\": \"What were the names of the four?\"\n },\n {\n \"18584\": \"How old was the driver?\"\n },\n {\n \"18585\": \"Which news agency did Shadid speak with?\"\n },\n {\n \"18586\": \"Who was his interviewer?\"\n },\n {\n \"18587\": \"Why didn't the journalists know what happened to Mohammed?\"\n },\n {\n \"18588\": \"Where were they stopped?\"\n },\n {\n \"18589\": \"What did Mohammed do at the checkpoint?\"\n },\n {\n \"18590\": \"What happened to the journalists after that?\"\n },\n {\n \"18591\": \"Who did Addario think he saw?\"\n },\n {\n \"18592\": \"What position was he in when Addario saw him?\"\n },\n {\n \"18593\": \"Where have they looked for Mohammed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18579\",\n \"answer\": \"Mohammed\"\n },\n {\n \"question_id\": \"18580\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"18581\",\n \"answer\": \"the New York Times\"\n },\n {\n \"question_id\": \"18582\",\n \"answer\": \"pro-Moammar Gadhafi troops\"\n },\n {\n \"question_id\": \"18583\",\n \"answer\": \"Anthony Shadid, Lynsey Addario, Stephen Farrell and Tyler Hicks\"\n },\n {\n \"question_id\": \"18584\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"18585\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"18586\",\n \"answer\": \"Anderson Cooper\"\n },\n {\n \"question_id\": \"18587\",\n \"answer\": \"there was so much chaos\"\n },\n {\n \"question_id\": \"18588\",\n \"answer\": \"at a government checkpoint\"\n },\n {\n \"question_id\": \"18589\",\n \"answer\": \"He got out of their vehicle\"\n },\n {\n \"question_id\": \"18590\",\n \"answer\": \"they were blindfolded\"\n },\n {\n \"question_id\": \"18591\",\n \"answer\": \"Mohammed\"\n },\n {\n \"question_id\": \"18592\",\n \"answer\": \"face down with one arm outstretched\"\n },\n {\n \"question_id\": \"18593\",\n \"answer\": \"jails, hospitals, and morgues\"\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 XVI. \n\nON THE WRONG TRAIL. \n\nOne of the turkeys was finished even to the neck piece, and then both Tom and Sam declared that they were so sleepy they could scarcely keep their eyes open. \n\n\"It must be the mountain air,\" said Dick. \"I'm sleepy, too. Let us turn in.\" \n\n\"Will anybody have to stand watch?\" asked Sam. \n\nAt this John Barrow shook his head. \"Don't know as it's necessary,\" he said. \"Reckon we're safe enough. I'll keep my gun handy, in case any animal prowls around.\" \n\nThe boys laid down and were soon in the land of dreams. Tom and Sam slept near the back wall, with Dick next, and the guide near the opening, which, however, was now completely closed by the blanket. The fire was allowed to die down, for they did not dare to build it up, with such a wind blowing. \n\nNothing came to disturb them. Once during the night Dick roused up and heard the distant howling of a wolf. But the beast did not venture close to the shelter, and while waiting for its appearance the youth dropped asleep again. \n\nBy midnight the wind fell a little, and then it began to snow, and it was still snowing when John Barrow leaped up, pushed the blanket aside, and gazed out upon the river. \n\n\"Hullo, we're in for it now!\" he cried, and as the boys sat up, he added: \"Snowin'--mighty hard, too.\" \n\n\"I should say it was snowing hard!\" cried Tom, as he, too, looked out. \"Why, you can't see the trees on the other side, and they aren't more than a hundred and fifty feet off.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20822\": \"Was there a gusty wind at midnight?\"\n },\n {\n \"20823\": \"Was it snowing?\"\n },\n {\n \"20824\": \"Who was in his bed?\"\n },\n {\n \"20825\": \"Who were very sleepy before then?\"\n },\n {\n \"20826\": \"What were they doing?\"\n },\n {\n \"20827\": \"What?\"\n },\n {\n \"20828\": \"Did they tell others that they wanted to go to bed?\"\n },\n {\n \"20829\": \"What presumably made them sleepy?\"\n },\n {\n \"20830\": \"Did Sam ask about someone to watch while others sleeping?\"\n },\n {\n \"20831\": \"Who doubted it?\"\n },\n {\n \"20832\": \"Did he feel safe?\"\n },\n {\n \"20833\": \"What weapon he had with him?\"\n },\n {\n \"20834\": \"What he was expecting that might bother them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20822\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20823\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20824\",\n \"answer\": \"The boys\"\n },\n {\n \"question_id\": \"20825\",\n \"answer\": \"Tom and Sam\"\n },\n {\n \"question_id\": \"20826\",\n \"answer\": \"eating\"\n },\n {\n \"question_id\": \"20827\",\n \"answer\": \"turkey\"\n },\n {\n \"question_id\": \"20828\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20829\",\n \"answer\": \"the turkeys\"\n },\n {\n \"question_id\": \"20830\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20831\",\n \"answer\": \"John Barrow\"\n },\n {\n \"question_id\": \"20832\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20833\",\n \"answer\": \"a gun\"\n },\n {\n \"question_id\": \"20834\",\n \"answer\": \"animals\"\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 Dick was driving a large American car. As soon as the race started, he pulled out in front. As the race went on, he kept the first place. And he was far ahead of Wilson, the man in the second place. When the race was almost over, some people stood up and left. \"Why did stay?\" they thought. They were sure they knew who would win. But things did not go as they thought. A strange noise came from Dick's car. It slowed down. Something was wrong. Dick knew his car would not go far. His only hope was that he would make it to the finish. But on his last lap , the car stopped. Wilson's car roared by. Dick saw it go by. He knew he could not win now. \"But I can finish the race,\" he thought. And he got out of his car. So did his assistant. They began to push the car to the finish. Wilson went by them again and again. He was on his last lap. He was going to win. Dick and his friend did not care. They went on pushing. At first, all eyes were on Wilson. He crossed the line. And the race was over. He won! Dick and his friend pushed on. At last, the car crossed the line. By then all the people shouted for them. They shouted more than they did for Wilson. This was a different kind of winner!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21091\": \"Did Dick win the race?\"\n },\n {\n \"21092\": \"Was it a horse race?\"\n },\n {\n \"21093\": \"What kind of race was it?\"\n },\n {\n \"21094\": \"Was his car a foreign car?\"\n },\n {\n \"21095\": \"Where from then?\"\n },\n {\n \"21096\": \"Was it big?\"\n },\n {\n \"21097\": \"Was Dick struggling the whole race?\"\n },\n {\n \"21098\": \"How was he doing at first?\"\n },\n {\n \"21099\": \"Was anyone close behind?\"\n },\n {\n \"21100\": \"Who was in second?\"\n },\n {\n \"21101\": \"Who's car made a strange noise?\"\n },\n {\n \"21102\": \"Did it speed up?\"\n },\n {\n \"21103\": \"What did it do?\"\n },\n {\n \"21104\": \"When did the car stop?\"\n },\n {\n \"21105\": \"What did he do?\"\n },\n {\n \"21106\": \"Did he do it alone?\"\n },\n {\n \"21107\": \"Who helped?\"\n },\n {\n \"21108\": \"Was the crowd booing him?\"\n },\n {\n \"21109\": \"What did they do?\"\n },\n {\n \"21110\": \"Did everyone stay until the race was over?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21091\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21092\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21093\",\n \"answer\": \"a car race\"\n },\n {\n \"question_id\": \"21094\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21095\",\n \"answer\": \"an American car\"\n },\n {\n \"question_id\": \"21096\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21097\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21098\",\n \"answer\": \"he was in first place\"\n },\n {\n \"question_id\": \"21099\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21100\",\n \"answer\": \"Wilson\"\n },\n {\n \"question_id\": \"21101\",\n \"answer\": \"Dick's\"\n },\n {\n \"question_id\": \"21102\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21103\",\n \"answer\": \"slowed down\"\n },\n {\n \"question_id\": \"21104\",\n \"answer\": \"on his last lap\"\n },\n {\n \"question_id\": \"21105\",\n \"answer\": \"began to push the car\"\n },\n {\n \"question_id\": \"21106\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21107\",\n \"answer\": \"his assistant\"\n },\n {\n \"question_id\": \"21108\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21109\",\n \"answer\": \"shouted for them\"\n },\n {\n \"question_id\": \"21110\",\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 James the Turtle was always getting in trouble. Sometimes he'd reach into the freezer and empty out all the food. Other times he'd sled on the deck and get a splinter. His aunt Jane tried as hard as she could to keep him out of trouble, but he was sneaky and got into lots of trouble behind her back. \n\nOne day, James thought he would go into town and see what kind of trouble he could get into. He went to the grocery store and pulled all the pudding off the shelves and ate two jars. Then he walked to the fast food restaurant and ordered 15 bags of fries. He didn't pay, and instead headed home. \n\nHis aunt was waiting for him in his room. She told James that she loved him, but he would have to start acting like a well-behaved turtle. \n\nAfter about a month, and after getting into lots of trouble, James finally made up his mind to be a better turtle.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56223\": \"Who were always getting in trouble?\"\n },\n {\n \"56224\": \"What did he reach into?\"\n },\n {\n \"56225\": \"What would he do on the porch?\"\n },\n {\n \"56226\": \"Where did he think he would travel to?\"\n },\n {\n \"56227\": \"Why did he want to visit town?\"\n },\n {\n \"56228\": \"What did he pull at the shop he was in?\"\n },\n {\n \"56229\": \"Who tried to help him behave?\"\n },\n {\n \"56230\": \"How many cans did he eat\"\n },\n {\n \"56231\": \"Where did he stroll to after the store?\"\n },\n {\n \"56232\": \"How many french fries did he order?\"\n },\n {\n \"56233\": \"Did he buy the food?\"\n },\n {\n \"56234\": \"Who was in his bedroom?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"56223\",\n \"answer\": \"James the Turtle\"\n },\n {\n \"question_id\": \"56224\",\n \"answer\": \"The freezer\"\n },\n {\n \"question_id\": \"56225\",\n \"answer\": \"He would sled\"\n },\n {\n \"question_id\": \"56226\",\n \"answer\": \"Into town\"\n },\n {\n \"question_id\": \"56227\",\n \"answer\": \"To see what trouble he could get into\"\n },\n {\n \"question_id\": \"56228\",\n \"answer\": \"All the pudding\"\n },\n {\n \"question_id\": \"56229\",\n \"answer\": \"His aunt Jane\"\n },\n {\n \"question_id\": \"56230\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"56231\",\n \"answer\": \"The fast food restaurant\"\n },\n {\n \"question_id\": \"56232\",\n \"answer\": \"15 bags worth\"\n },\n {\n \"question_id\": \"56233\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"56234\",\n \"answer\": \"His aunt\"\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) -- Former Bosnian Serb leader Radovan Karadzic finally took the stand Monday at the U.N.'s international tribunal at The Hague to defend himself against genocide charges stemming from the 1992-1995 Bosnian conflict. \n\nFor CNN's Senior International Correspondent Nic Robertson, the 64 year-old was as defiant and unrepentant as the man he recalled meeting outside Sarajevo in 1993-94, as Bosnian-Serb forces shelled the city. \n\nKaradzic, who faces 11 charges of war crimes, crimes against humanity, and genocide during the war, told the tribunal the Serb cause is \"just and holy,\" and dismissed as myths two of the worst atrocities of a conflict that claimed 100,000 lives -- the three-year siege of Sarajevo and the Srebrenica massacre in 1995. \n\nHe even claimed that the image of the Muslims as victims was untrue and that they were the first to attack. Their fighters \"had blood up to their shoulders,\" he said. \n\n\"I will defend that nation of ours and their cause that is just and holy,\" he said in his defiant opening statement. The aim of the \"Muslim plotters,\" he added, was \"100 percent power, as it was in the Ottoman Empire.\" \n\n\"This is reminiscent of those days,\" said Robertson, who reported from the Bosnian capital during the war. \"These were the exact same justifications: 'we're the ones that had been under attack, we're the ones being wronged.' \n\n\"It's very telling that he's not trying to address specific issues, such as the Srebrenica massacre and such like, which are going to be the main parts of the prosecution. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77120\": \"what media outlet ran this story?\"\n },\n {\n \"77121\": \"in what city?\"\n },\n {\n \"77122\": \"who is Radovan Karadzic?\"\n },\n {\n \"77123\": \"how old is he?\"\n },\n {\n \"77124\": \"how many charges is he facing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77120\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"77121\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"77122\",\n \"answer\": \"Former Bosnian Serb leader\"\n },\n {\n \"question_id\": \"77123\",\n \"answer\": \"64\"\n },\n {\n \"question_id\": \"77124\",\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 (CNN) -- Two former presidents reflected on their greatest regrets in office Monday, each looking back to issues that continue to plague the nation years later. \n\nFormer presidents and political rivals Bill Clinton and George H.W. Bush now share philanthropic efforts. \n\nFormer Presidents George H.W. Bush and Bill Clinton appeared together at a question-and-answer forum before the National Automobile Dealers Association in New Orleans, Louisiana. \n\nAsked his biggest regret after leaving office, Bush said he now wonders whether he should have tried to get Saddam Hussein to leave office at the end of the first Gulf War in 1991. \n\nHe told the gathering, \"I've thought a lot about it, but at the end of Desert Storm, the question was should we have kind of kept going on that road to death and all this slaughter until Saddam Hussein showed up and laid his sword on the table, surrendered. And the common wisdom was he wouldn't do that.\" \n\nBut he said a conversation with an FBI agent who interrogated Saddam after he was captured has made him reconsider. \n\nBush recalled their talk, \"I said, 'What if we just say he has to come to surrender, would he have done it?' And this guy said, 'I'm absolutely convinced he would have.' My experts tell me he wouldn't have.\" \n\nBush said, \"We ended it the way we said we would\" as a military success, but noted a cleaner ending \"would have been perfect.\" \n\nHe added, \"If we had tried to get Saddam Hussein to come and literally surrender and put his sword on the table, I think it might have been avoided some of the problems that we did have in the future from him.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60341\": \"Who recalled their talk?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60341\",\n \"answer\": \"Former presidents\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X \n\nTHE YOUNG OFFICER \n\nIt was a fine afternoon when the train ran down from the granite wilds round Cairnsmuir into a broad green valley. Behind, the red heath, strewn with boulders and scarred by watercourses, rolled upward into gathering clouds; in front, yellow stubble fields and smooth meadows lay shining in the light, with a river flashing through their midst. Whitney, watching the scene from a window, thought the change was typical of southern Scotland, which he had found a land of contrasts. \n\nThey had left the _Rowan_ where the river mouth opened into a sheltered, hill-girt bay, and walked up a dale that was steeped in quiet pastoral beauty. It led them to a wind-swept tableland, in which lonely, ruffled lakes lay among the stones, and granite outcrops ribbed the desolate heath. There they had caught the train; and now it was running down to well-tilled levels, dotted with trim white houses and marked in the distance by the blue smoke of a town. Andrew had chosen the route to show Whitney the country, and he admitted that it had its charm. \n\nThe train slowed down as it approached a station, and when it stopped Dick jumped up. \n\n\"I may be able to get a paper here,\" he said, and leaped down on to the station platform, where shepherds with rough collies, cattle-dealers, and quarrymen stood waiting. \n\nDick vanished among the crowd; but a few moments later he returned hurriedly, without his paper. \n\n\"I nearly ran into old Mackellar!\" he exclaimed with a chuckle. \"But I dodged him!\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34270\": \"What is the name of the chapter we are discussing?\"\n },\n {\n \"34271\": \"Why did they take the route?\"\n },\n {\n \"34272\": \"Who was showing her?\"\n },\n {\n \"34273\": \"What were they on?\"\n },\n {\n \"34274\": \"Did it slow down?\"\n },\n {\n \"34275\": \"Where?\"\n },\n {\n \"34276\": \"Who got up?\"\n },\n {\n \"34277\": \"Why?\"\n },\n {\n \"34278\": \"Did he leave the train?\"\n },\n {\n \"34279\": \"Where did he go?\"\n },\n {\n \"34280\": \"Was he alone?\"\n },\n {\n \"34281\": \"Who was there?\"\n },\n {\n \"34282\": \"Anyone else?\"\n },\n {\n \"34283\": \"Anyone else?\"\n },\n {\n \"34284\": \"Did he get his paper?\"\n },\n {\n \"34285\": \"Why not?\"\n },\n {\n \"34286\": \"Who?\"\n },\n {\n \"34287\": \"What time of day did they take the train?\"\n },\n {\n \"34288\": \"What country were they in?\"\n },\n {\n \"34289\": \"What body of water did they see?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34270\",\n \"answer\": \"THE YOUNG OFFICER\"\n },\n {\n \"question_id\": \"34271\",\n \"answer\": \"To show Whitney the country.\"\n },\n {\n \"question_id\": \"34272\",\n \"answer\": \"Andrew\"\n },\n {\n \"question_id\": \"34273\",\n \"answer\": \"A train\"\n },\n {\n \"question_id\": \"34274\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34275\",\n \"answer\": \"As it approached a station\"\n },\n {\n \"question_id\": \"34276\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"34277\",\n \"answer\": \"To get a paper.\"\n },\n {\n \"question_id\": \"34278\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34279\",\n \"answer\": \"The station platform\"\n },\n {\n \"question_id\": \"34280\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34281\",\n \"answer\": \"Shepherds.\"\n },\n {\n \"question_id\": \"34282\",\n \"answer\": \"Cattle-dealers\"\n },\n {\n \"question_id\": \"34283\",\n \"answer\": \"Quarrymen\"\n },\n {\n \"question_id\": \"34284\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34285\",\n \"answer\": \"He was dodging someone.\"\n },\n {\n \"question_id\": \"34286\",\n \"answer\": \"Old Mackellar\"\n },\n {\n \"question_id\": \"34287\",\n \"answer\": \"In the afternoon.\"\n },\n {\n \"question_id\": \"34288\",\n \"answer\": \"Scotland\"\n },\n {\n \"question_id\": \"34289\",\n \"answer\": \"A 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 (CNN)For 10 days following the 2010 Haiti earthquake, two CNN colleagues and I lived in a tent hospital run by Project Medishare. Our hearts ached as we heard the cries of the injured, as we watched surgeons performed amputations without general anesthesia, as people died in front of our eyes. \n\nBut, in the midst of this despair, a miracle arrived at Project Medishare. CNN Senior Photographer Ferre Dollar caught these images seconds after she arrived. Look closely at the center of the photo. \n\nThis 4-month-old baby had spent four days alone in the rubble and was unconscious and extremely dehydrated. No one knew if she would live or die. \n\nBut look at her now! \n\nCNN medical producer John Bonifield and I had the pure joy of seeing this wonderful young lady again last week. Her name is Jenny, and she's 5 years old and a pre-kindergartner in Miami. She can write her name and loves to color and dress up as a princess and is adorable and spunky and smart and funny. \n\nHere are all the miracles that it took to save her life: \n\n1. That someone happened to find Jenny in the rubble four days after the quake. \n\n2. That at a time when vehicles were in short supply, Jenny's rescuers flagged down a car to rush her to the hospital. \n\n3. That the Medishare team of doctors and nurses, led by Dr. Karen Schneider, an emergency medicine physician at Johns Hopkins, managed to get fluids into her. Jenny was so dehydrated her veins had collapsed and Schneider had to put a needle through her shinbone and directly into her bone marrow to deliver fluids. They didn't have to sedate her -- Jenny was so unconscious she didn't even cry. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19476\": \"Where did two CNN workers live after the Haiti earthquake?\"\n },\n {\n \"19477\": \"For how many days did they live there?\"\n },\n {\n \"19478\": \"Who was in charge of operating the tent hospital?\"\n },\n {\n \"19479\": \"Who was the photographer with most seniority at Medishare?\"\n },\n {\n \"19480\": \"Is that photographer male or female?\"\n },\n {\n \"19481\": \"What is the first name of the CNN medical producer?\"\n },\n {\n \"19482\": \"How old was the baby that spent time alone?\"\n },\n {\n \"19483\": \"Was she dehydrated?\"\n },\n {\n \"19484\": \"Were there doubts as to whether she would live?\"\n },\n {\n \"19485\": \"How old was the girl when producers met her later?\"\n },\n {\n \"19486\": \"What is her name?\"\n },\n {\n \"19487\": \"In what city does she live?\"\n },\n {\n \"19488\": \"Was she in 5th grade?\"\n },\n {\n \"19489\": \"What does she enjoy dressing up as?\"\n },\n {\n \"19490\": \"Was she described as depressed?\"\n },\n {\n \"19491\": \"When she was saved, were cars scarce?\"\n },\n {\n \"19492\": \"What did the people who helped her do to a passing car?\"\n },\n {\n \"19493\": \"And where did the car transport her?\"\n },\n {\n \"19494\": \"What had happened to Jenny's veins?\"\n },\n {\n \"19495\": \"Why didn't Jenny cry when she was receiving care?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"19476\",\n \"answer\": \"in a tent hospital\"\n },\n {\n \"question_id\": \"19477\",\n \"answer\": \"10 days\"\n },\n {\n \"question_id\": \"19478\",\n \"answer\": \"Project Medishare\"\n },\n {\n \"question_id\": \"19479\",\n \"answer\": \"Ferre Dollar\"\n },\n {\n \"question_id\": \"19480\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"19481\",\n \"answer\": \"John Bonifield\"\n },\n {\n \"question_id\": \"19482\",\n \"answer\": \"a 4-month-old\"\n },\n {\n \"question_id\": \"19483\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19484\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19485\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"19486\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"19487\",\n \"answer\": \"Miami\"\n },\n {\n \"question_id\": \"19488\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"19489\",\n \"answer\": \"a princess\"\n },\n {\n \"question_id\": \"19490\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"19491\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19492\",\n \"answer\": \"flagged it down\"\n },\n {\n \"question_id\": \"19493\",\n \"answer\": \"to the hospital\"\n },\n {\n \"question_id\": \"19494\",\n \"answer\": \"her veins had collapsed\"\n },\n {\n \"question_id\": \"19495\",\n \"answer\": \"She was so unconscious\"\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 California bounty hunter says he will sue Casey Anthony and her defense attorney Jose Baez for misleading him when he helped search for her young daughter Caylee. \n\nLeonard Padilla said he is seeking $200,000. \n\nPadilla said Anthony's attorney allowed him to fly to Florida in 2008 and help search for Anthony's then-missing 2-year-old daughter. \n\nAnthony left jail Sunday after being acquitted of murder charges in connection with the death of her daughter. \n\nPadilla says when he heard Baez's opening statement during Anthony's murder trial he felt conned. \n\n\"It turns out she knew where the child was all along,\" Padilla said. \"They misled me, and it is definitely fraud.\" \n\nAt one point during the highly-publicized search for Caylee, Padilla offered a $25,000 reward for the girl's return. \n\nHe also says he spent $50,000 to bond out Anthony when she was initially jailed. He said he also brought in people to help provide security. \n\nHe said he talked to Anthony on many occasions during that time and that she never said she knew where Caylee was. \n\n\"She told me the babysitter stole the baby,\" Padilla said. \"They were both feeding us that line. And now we know it was never true. We lost a lot of money.\" \n\nPadilla says it may take a few weeks to get his lawsuit together. \n\nJohnny Griffin, a California legal expert, told CNN affiliate KCRA that Padilla's lawsuit may have legal merit. But he may need to do some work to prove his case, Griffin said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39389\": \"What was Padilla's Mission in Florida?\"\n },\n {\n \"39390\": \"What was he acquitted for?\"\n },\n {\n \"39391\": \"Who died?\"\n },\n {\n \"39392\": \"Did he eventually got released?\"\n },\n {\n \"39393\": \"Who make the opening murder trial?\"\n },\n {\n \"39394\": \"How did Padilla feel about it?\"\n },\n {\n \"39395\": \"Did they ever search for the girl?\"\n },\n {\n \"39396\": \"What was Padilla's contribution to the search?\"\n },\n {\n \"39397\": \"Did he offer some money for the finder?\"\n },\n {\n \"39398\": \"How much did he offer?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39389\",\n \"answer\": \"to search for Anthony's then missing 2 year old daughter\"\n },\n {\n \"question_id\": \"39390\",\n \"answer\": \"murder charges\"\n },\n {\n \"question_id\": \"39391\",\n \"answer\": \"Anthony's 2 year old daughter Caylee\"\n },\n {\n \"question_id\": \"39392\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39393\",\n \"answer\": \"Jose Baez\"\n },\n {\n \"question_id\": \"39394\",\n \"answer\": \"he felt conned\"\n },\n {\n \"question_id\": \"39395\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"39396\",\n \"answer\": \"He flew to Florida and helped in the search.\"\n },\n {\n \"question_id\": \"39397\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39398\",\n \"answer\": \"a $25,000 reward\"\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 Iranian languages or Iranic languages form a branch of the Indo-Iranian languages, which in turn are a branch of the Indo-European language family. The speakers of Iranian languages are known as Iranian peoples. Historical Iranian languages are grouped in three stages: Old Iranian (until 400 BCE), Middle Iranian (400 BCE – 900 CE), and New Iranian (since 900 CE). Of the Old Iranian languages, the better understood and recorded ones are Old Persian (a language of Achaemenid Iran) and Avestan (the language of the Avesta). Middle Iranian languages included Middle Persian (a language of Sassanid Iran), Parthian, and Bactrian. \n\nAs of 2008, there were an estimated 150–200 million native speakers of Iranian languages. Ethnologue estimates there are 86 Iranian languages, the largest amongst them being Persian, Pashto, Kurdish, and Balochi. \n\nThe term Iranian is applied to any language which descends from the ancestral Proto-Iranian language. Iranian derives from the Persian and Sanskrit origin word Arya.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29361\": \"What branch are Iranian languages considered?\"\n },\n {\n \"29362\": \"How many people speak the language?\"\n },\n {\n \"29363\": \"How many types of languages are there?\"\n },\n {\n \"29364\": \"How many groups are there?\"\n },\n {\n \"29365\": \"What are they?\"\n },\n {\n \"29366\": \"Of the old languages which ones are the ones that were recorded more.\"\n },\n {\n \"29367\": \"How many old ones were there?\"\n },\n {\n \"29368\": \"What all types of languages is the term applied to?\"\n },\n {\n \"29369\": \"Where does the word Iranian come from?\"\n },\n {\n \"29370\": \"What year did they say how many people speak the languages?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29361\",\n \"answer\": \"Indo-Iranian\"\n },\n {\n \"question_id\": \"29362\",\n \"answer\": \"150\\u2013200 million\"\n },\n {\n \"question_id\": \"29363\",\n \"answer\": \"86\"\n },\n {\n \"question_id\": \"29364\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"29365\",\n \"answer\": \"Persian, Pashto, Kurdish, and Balochi.\"\n },\n {\n \"question_id\": \"29366\",\n \"answer\": \"Old Persian and Avestan\"\n },\n {\n \"question_id\": \"29367\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"29368\",\n \"answer\": \"Old Iranian (until 400 BCE), Middle Iranian (400 BCE \\u2013 900 CE), and New Iranian (since 900 CE)\"\n },\n {\n \"question_id\": \"29369\",\n \"answer\": \"Proto-Iranian l\"\n },\n {\n \"question_id\": \"29370\",\n \"answer\": \"2008\"\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 Green Eyes is a book. It's about a lovely cat called Green Eyes. He is one year old. He is interested in everything around him. He lives in his big red box and greets spring, summer, autumn and winter--each with their special colours and feelings .The pictures of the book are beautiful, and the words are easy to read. Many people have different ideas about it. Here're some _ of the readers . Hello Kitty: It is a great book about how a cat sees the seasons. I'm a teacher and I read it to my students every year when we study the seasons. A Sweet Girl: I'm a little girl from America. I've got the book on my 12thbirthday this year. My parents buy it for me. I love it so much. I often read it before going to bed. Warm Wind: I'm Jenny. I'm in the school reading club .We share our favourite book every Sunday. I share this book with other students in the club. They all like it.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26986\": \"what is the feline called?\"\n },\n {\n \"26987\": \"what is it's age?\"\n },\n {\n \"26988\": \"where does he reside?\"\n },\n {\n \"26989\": \"are there images?\"\n },\n {\n \"26990\": \"are they attractive?\"\n },\n {\n \"26991\": \"is the wording difficult to understand?\"\n },\n {\n \"26992\": \"where is the petite young woman from?\"\n },\n {\n \"26993\": \"her age?\"\n },\n {\n \"26994\": \"who is in a group at their schoolhouse?\"\n },\n {\n \"26995\": \"what kind of group is it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26986\",\n \"answer\": \"Green Eyes\"\n },\n {\n \"question_id\": \"26987\",\n \"answer\": \"one year old\"\n },\n {\n \"question_id\": \"26988\",\n \"answer\": \"his big red box\"\n },\n {\n \"question_id\": \"26989\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26990\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26991\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26992\",\n \"answer\": \"from America\"\n },\n {\n \"question_id\": \"26993\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"26994\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"26995\",\n \"answer\": \"the school reading club .\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X \n\nTHE ACCIDENT \n\nThat night Toby and Abner went to the circus grounds with Uncle Daniel and Aunt Olive; and when old Ben approached the party as they were nearing the tent, Toby motioned the cripple to come with him, for he thought it might be better that the boy should not hear the conversation concerning himself. \n\nIt had been decided by Uncle Daniel that the boys should go to the circus grounds that evening, and stay there until it was nearly dark, when they were to go home and go to bed; for he never believed it could do boys any good to be out after dark, while he was certain it was better for their health if they went to bed early. \n\nTherefore Toby intended to make this visit simply one of farewell, after Abner should see a little more of the bustle and confusion that had so fascinated him in the afternoon. \n\nTo that end the boys walked around the enclosure, listened to the men who were loudly crying the wonderful things they had for sale, and all the while kept a bright lookout in the hope of seeing some of their circus friends. \n\nIt was nearly time for the performance to begin when the boys went into the skeleton's tent, and said good-bye to the thin man and his fat wife. \n\nThen Toby, anxious to run around to the dressing-rooms to speak with Ella, and not daring to take Abner with him, said to the boy: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53187\": \"Who did Toby montion to?\"\n },\n {\n \"53188\": \"why?\"\n },\n {\n \"53189\": \"hear what?\"\n },\n {\n \"53190\": \"Who was Toby with?\"\n },\n {\n \"53191\": \"Who suggested the boys should go?\"\n },\n {\n \"53192\": \"where?\"\n },\n {\n \"53193\": \"when were they going to stay until?\"\n },\n {\n \"53194\": \"and then what were they to do?\"\n },\n {\n \"53195\": \"and do what?\"\n },\n {\n \"53196\": \"why?\"\n },\n {\n \"53197\": \"what did he belive about going to bed early?\"\n },\n {\n \"53198\": \"Who was selling stuff?\"\n },\n {\n \"53199\": \"what were they selling?\"\n },\n {\n \"53200\": \"What were they looking for?\"\n },\n {\n \"53201\": \"Who did the boys say goodbye to?\"\n },\n {\n \"53202\": \"and who else?\"\n },\n {\n \"53203\": \"Where were they?\"\n },\n {\n \"53204\": \"Why did they go to say goodbye?\"\n },\n {\n \"53205\": \"Who did Toby want to speak with?\"\n },\n {\n \"53206\": \"Did Abner go with him?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53187\",\n \"answer\": \"cripple\"\n },\n {\n \"question_id\": \"53188\",\n \"answer\": \"might be better that the boy should not hear\"\n },\n {\n \"question_id\": \"53189\",\n \"answer\": \"conversation\"\n },\n {\n \"question_id\": \"53190\",\n \"answer\": \"Uncle Daniel and Aunt Olive\"\n },\n {\n \"question_id\": \"53191\",\n \"answer\": \"Uncle Daniel\"\n },\n {\n \"question_id\": \"53192\",\n \"answer\": \"circus\"\n },\n {\n \"question_id\": \"53193\",\n \"answer\": \"nearly dark\"\n },\n {\n \"question_id\": \"53194\",\n \"answer\": \"go home\"\n },\n {\n \"question_id\": \"53195\",\n \"answer\": \"go to bed\"\n },\n {\n \"question_id\": \"53196\",\n \"answer\": \"do boys any good to be out after dark\"\n },\n {\n \"question_id\": \"53197\",\n \"answer\": \"better for their health\"\n },\n {\n \"question_id\": \"53198\",\n \"answer\": \"men\"\n },\n {\n \"question_id\": \"53199\",\n \"answer\": \"wonderful things\"\n },\n {\n \"question_id\": \"53200\",\n \"answer\": \"circus friend\"\n },\n {\n \"question_id\": \"53201\",\n \"answer\": \"thin man\"\n },\n {\n \"question_id\": \"53202\",\n \"answer\": \"fat wife\"\n },\n {\n \"question_id\": \"53203\",\n \"answer\": \"skeleton's tent\"\n },\n {\n \"question_id\": \"53204\",\n \"answer\": \"time for the performance to begin\"\n },\n {\n \"question_id\": \"53205\",\n \"answer\": \"Ella\"\n },\n {\n \"question_id\": \"53206\",\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 Fax (short for facsimile), sometimes called telecopying or telefax (the latter short for telefacsimile), is the telephonic transmission of scanned printed material (both text and images), normally to a telephone number connected to a printer or other output device. The original document is scanned with a fax machine (or a telecopier), which processes the contents (text or images) as a single fixed graphic image, converting it into a bitmap, and then transmitting it through the telephone system in the form of audio-frequency tones. The receiving fax machine interprets the tones and reconstructs the image, printing a paper copy. Early systems used direct conversions of image darkness to audio tone in a continuous or analog manner. Since the 1980s, most machines modulate the transmitted audio frequencies using a digital representation of the page which is compressed to quickly transmit areas which are all-white or all-black. \n\nScottish inventor Alexander Bain worked on chemical mechanical fax type devices and in 1846 was able to reproduce graphic signs in laboratory experiments. He received British patent 9745 on May 27, 1843 for his \"Electric Printing Telegraph.\" Frederick Bakewell made several improvements on Bain's design and demonstrated a telefax machine. The Pantelegraph was invented by the Italian physicist Giovanni Caselli. He introduced the first commercial telefax service between Paris and Lyon in 1865, some 11 years before the invention of the telephone.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41076\": \"What word is \\\"fax\\\" an abbreviation of?\"\n },\n {\n \"41077\": \"Can a fax send images?\"\n },\n {\n \"41078\": \"What else?\"\n },\n {\n \"41079\": \"After scanning, what is the original document converted to?\"\n },\n {\n \"41080\": \"How is it the sent over the telephone?\"\n },\n {\n \"41081\": \"What does a fax machine do with these tones?\"\n },\n {\n \"41082\": \"To do what?\"\n },\n {\n \"41083\": \"Who tweaked Bain's design?\"\n },\n {\n \"41084\": \"What did Bain patent?\"\n },\n {\n \"41085\": \"When?\"\n },\n {\n \"41086\": \"Which was invented first, telefax or the telephone?\"\n },\n {\n \"41087\": \"Where did the first service run?\"\n },\n {\n \"41088\": \"When?\"\n },\n {\n \"41089\": \"What can post-1980s fax machines transmit quickly?\"\n },\n {\n \"41090\": \"What do they use to do this?\"\n },\n {\n \"41091\": \"What is fax sometimes called instead?\"\n },\n {\n \"41092\": \"Or what?\"\n },\n {\n \"41093\": \"Which is an abbreviation for what?\"\n },\n {\n \"41094\": \"Who was Caselli?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"41076\",\n \"answer\": \"facsimile\"\n },\n {\n \"question_id\": \"41077\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"41078\",\n \"answer\": \"text\"\n },\n {\n \"question_id\": \"41079\",\n \"answer\": \"a bitmap\"\n },\n {\n \"question_id\": \"41080\",\n \"answer\": \"audio-frequency tones\"\n },\n {\n \"question_id\": \"41081\",\n \"answer\": \"interprets them\"\n },\n {\n \"question_id\": \"41082\",\n \"answer\": \"reconstructs the image\"\n },\n {\n \"question_id\": \"41083\",\n \"answer\": \"Frederick Bakewell\"\n },\n {\n \"question_id\": \"41084\",\n \"answer\": \"the Electric Printing Telegraph\"\n },\n {\n \"question_id\": \"41085\",\n \"answer\": \"May 27, 1843\"\n },\n {\n \"question_id\": \"41086\",\n \"answer\": \"telefax\"\n },\n {\n \"question_id\": \"41087\",\n \"answer\": \"between Paris and Lyon\"\n },\n {\n \"question_id\": \"41088\",\n \"answer\": \"1865\"\n },\n {\n \"question_id\": \"41089\",\n \"answer\": \"areas which are all-white or all-black.\"\n },\n {\n \"question_id\": \"41090\",\n \"answer\": \"a digital representation of the page\"\n },\n {\n \"question_id\": \"41091\",\n \"answer\": \"telecopying\"\n },\n {\n \"question_id\": \"41092\",\n \"answer\": \"telefax\"\n },\n {\n \"question_id\": \"41093\",\n \"answer\": \"telefacsimile\"\n },\n {\n \"question_id\": \"41094\",\n \"answer\": \"an Italian physicist\"\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) -- Essie Mae Washington-Williams, the biracial woman who revealed nine years ago she was the illegitimate daughter of former segregationist Sen. Strom Thurmond, died Monday, her family's spokesman said. She was 87. \n\nWashington-Williams kept her father's identity secret until six months after Thurmond, a segregationist leader for decades, died in June 2003 at age 100. \n\n\"I never wanted to do anything to harm him or cause detriment to his life or to the lives of those around him,\" Washington-Williams said at a 2003 news conference, six months after her father died at the age of 100. \n\nShe died at her Columbia, South Carolina, home of natural causes Monday morning, according to Frank Wheaton. \n\nThurmond ran for president in 1948 on the ticket of the States' Rights Democratic Party, or Dixiecrats, a breakaway faction of Southern Democrats who believed strongly in racial segregation and were opposed to their party's civil rights program. Thurmond joined the Republican Party in the 1960s and ultimately turned away from his segregationist past. \n\nMartin: GOP needs to listen to blacks \n\n\"My father did a lot of things to help other people, even though his public stance appeared opposite,\" Washington-Williams said. \"I was sensitive about his well-being and career and his family here in South Carolina.\" \n\nWashington-Williams said she went public only at the urging of her children, but rumors had persisted for years. \n\nAn attorney for the former senator's family confirmed in 2003 that Thurmond fathered a child with a teenage black housekeeper in 1925. Her mother, Carrie Butler, worked as a maid at the Thurmond family home in Edgefield, South Carolina. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35532\": \"Who was the famous father in this story?\"\n },\n {\n \"35533\": \"How old was he when he died?\"\n },\n {\n \"35534\": \"Who was his daughter?\"\n },\n {\n \"35535\": \"Was she an illegitimate child?\"\n },\n {\n \"35536\": \"Was she bi-racial?\"\n },\n {\n \"35537\": \"What was Thurmond's position on segregation?\"\n },\n {\n \"35538\": \"All of his life?\"\n },\n {\n \"35539\": \"When did he run for president?\"\n },\n {\n \"35540\": \"What was his party then?\"\n },\n {\n \"35541\": \"What party did he join in the 60's?\"\n },\n {\n \"35542\": \"What was Washington-\"\n },\n {\n \"35543\": \"What was Washington-Williams' mother's name?\"\n },\n {\n \"35544\": \"Where did she work?\"\n },\n {\n \"35545\": \"Was the story of Washington-Williams confirmed?\"\n },\n {\n \"35546\": \"By whom?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35532\",\n \"answer\": \"Strom Thurmond,\"\n },\n {\n \"question_id\": \"35533\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"35534\",\n \"answer\": \"Essie Mae Washington-Williams\"\n },\n {\n \"question_id\": \"35535\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35536\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35537\",\n \"answer\": \"a segregationist leader\"\n },\n {\n \"question_id\": \"35538\",\n \"answer\": \". no\"\n },\n {\n \"question_id\": \"35539\",\n \"answer\": \"1948\"\n },\n {\n \"question_id\": \"35540\",\n \"answer\": \"Democratic Party,\"\n },\n {\n \"question_id\": \"35541\",\n \"answer\": \"Republican Party\"\n },\n {\n \"question_id\": \"35542\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"35543\",\n \"answer\": \"Carrie Butler\"\n },\n {\n \"question_id\": \"35544\",\n \"answer\": \"maid at the Thurmond family home\"\n },\n {\n \"question_id\": \"35545\",\n \"answer\": \"yes, after his death\"\n },\n {\n \"question_id\": \"35546\",\n \"answer\": \"an attorney in 2003\"\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 Santa Claus is someone who will remain in the hearts of children forever. \n\nSanta C1aus also has some other names: Saint Nicholas, St. Nick, Kris Kringle, Pelznickel. Two of his names-Santa Claus and Saint Nicholas-both come from the Dutch who settled in New York long ago. The Dutch honored this kindly saint with a yearly festival on December sixth. The Dutch spoke the name \"Saint Nikolas\" very fast. It sounded like \"sinterklaas\". And so, when the English said this word, it sounded like \"Santa Claus\". \n\nWest of New York, in Pennsylvania, many German farmers had also heard of Saint Nikolas. But they cal1ed him \"Pelznickel\". This word came from \"pelz\", meaning fur, and \"nickel\" for Nicholas. So, to the Germans of Pennsylvania,\"Pelznickel\" was a man dressed in fur who came once a year with gifts for good children. Soon, people began to feel that the 1ove and kindness Pelznickel brought should be part of a celebration honoring the \"Christkindl\", as the Germans ca1led the Christ child. After a time, this became Kris Kringle. Later, Kris Kringle became another name for Santa Claus himself. \n\nWhatever he is called, he is still the same short, fat, jolly old man with a long beard, wearing a red suit with white fur. \n\nThe picture of Santa Claus as we see him came from Thomas Nast. He was an American \n\npainter born in Bavaria. Someone asked him to paint a picture of Santa Claus. Nast remembered when he was a little boy in southern Germany Every Christmas, a fat old man gave toys and cakes to the children. So, when Nast painted the picture, his Santa Claus looked like the kindly old man of his childhood. And through the years, Nast's painting has remained as the most popular picture of Santa Claus. \n\nSanta can be seen almost everywhere. It is easy to find them by the long lines of children waiting to tell Santa what they want for Christmas.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52070\": \"Who drew the picture of Santa Claus as we see him?\"\n },\n {\n \"52071\": \"What nationality was he?\"\n },\n {\n \"52072\": \"But where was he actually born?\"\n },\n {\n \"52073\": \"Where did he end up moving and becoming a citizen?\"\n },\n {\n \"52074\": \"What did a fat old man give kids in Germany?\"\n },\n {\n \"52075\": \"When?\"\n },\n {\n \"52076\": \"Is Nast's picture still popular?\"\n },\n {\n \"52077\": \"What had many German farmers heard of in Pennsylvania?\"\n },\n {\n \"52078\": \"What did they call him?\"\n },\n {\n \"52079\": \"What does Pelz mean in English?\"\n },\n {\n \"52080\": \"Where is Pennsylvania located?\"\n },\n {\n \"52081\": \"Did the Dutch speak quickly?\"\n },\n {\n \"52082\": \"What did it sound like when they said Saint Nikolas?\"\n },\n {\n \"52083\": \"Where did they originally settle?\"\n },\n {\n \"52084\": \"Was that recently or long ago?\"\n },\n {\n \"52085\": \"Does Santa Claus have a lot of names?\"\n },\n {\n \"52086\": \"What's one of them we haven't talked about yet?\"\n },\n {\n \"52087\": \"What did the Germans call the Christ child?\"\n },\n {\n \"52088\": \"What did that name become after a time?\"\n },\n {\n \"52089\": \"Where can Santa be seen?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52070\",\n \"answer\": \"Thomas Nast\"\n },\n {\n \"question_id\": \"52071\",\n \"answer\": \"German\"\n },\n {\n \"question_id\": \"52072\",\n \"answer\": \"Bavaria.\"\n },\n {\n \"question_id\": \"52073\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"52074\",\n \"answer\": \"toys and cakes\"\n },\n {\n \"question_id\": \"52075\",\n \"answer\": \"Every Christmas\"\n },\n {\n \"question_id\": \"52076\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52077\",\n \"answer\": \"Saint Nikolas\"\n },\n {\n \"question_id\": \"52078\",\n \"answer\": \"Pelznickel\"\n },\n {\n \"question_id\": \"52079\",\n \"answer\": \"fur\"\n },\n {\n \"question_id\": \"52080\",\n \"answer\": \"West of New York\"\n },\n {\n \"question_id\": \"52081\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52082\",\n \"answer\": \"\\\"sinterklaas\"\n },\n {\n \"question_id\": \"52083\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"52084\",\n \"answer\": \"long ago.\"\n },\n {\n \"question_id\": \"52085\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52086\",\n \"answer\": \"Saint Nicholas\"\n },\n {\n \"question_id\": \"52087\",\n \"answer\": \"Christkind\"\n },\n {\n \"question_id\": \"52088\",\n \"answer\": \"Kris Kringle\"\n },\n {\n \"question_id\": \"52089\",\n \"answer\": \"almost everywhere\"\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 Ultratop is an organization which generates and publishes the official record charts in Belgium, and it is also the name of most of those charts. Ultratop is a non-profit organization, created on the initiative of the Belgian Entertainment Association (BEA), the Belgian member organization of the International Federation of the Phonographic Industry. Two parallel set of charts are concurrently produced and published, one on behalf of Belgium's Dutch-speaking Flanders region, and the other catering to the nation's French-speaking region of Wallonia. \n\nThe music charts produced by Ultratop organization are separated along regional-language boundaries, an unusual division that is justified by the cultural differences in Belgium. So it is that the Dutch-speaking Flanders region has one set of charts of record activity there, while the French-speaking Wallonia region has another set to measure popularity in those provinces. \n\nThe charts are broadcast on several Belgian radio stations, and on TV stations TMF in Flanders and Plug RTL in Wallonia. \n\nUltratop creates charts based on record sales of around 500 retail outlets and legal digital downloads. Currently GfK is the market observer of the charts. The chart broadcasts on Radio Contact on Saturdays from 12:00 to 14:00. The combined number of Ultratop chart listeners on the various radio or TV stations exceeds two million every week. To celebrate the 10th anniversary of the charts in 2005, a jubilee book was published. It covers all 15,282 singles from 5,882 artists thus far.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41200\": \"Ultratop makes charts based on album sales of how many retail outlets and downloads?\"\n },\n {\n \"41201\": \"How many weekly listeners does the company have?\"\n },\n {\n \"41202\": \"What did they celebrate in 2005?\"\n },\n {\n \"41203\": \"What dud they publish as part of that celebration?\"\n },\n {\n \"41204\": \"How many singles did it over?\"\n },\n {\n \"41205\": \"By how many singers?\"\n },\n {\n \"41206\": \"Where is Ultratop?\"\n },\n {\n \"41207\": \"Are they a for-profit business?\"\n },\n {\n \"41208\": \"One chart is for French speaking people from what region?\"\n },\n {\n \"41209\": \"And where is the Dutch speaking area?\"\n },\n {\n \"41210\": \"How does Ultratop separate charts?\"\n },\n {\n \"41211\": \"Is that a common type of division?\"\n },\n {\n \"41212\": \"But is it justified?\"\n },\n {\n \"41213\": \"By what, in Belgium?\"\n },\n {\n \"41214\": \"What is the Flanders TV station?\"\n },\n {\n \"41215\": \"And where is RTL?\"\n },\n {\n \"41216\": \"What time does Radio Contact air on Saturdays?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"41200\",\n \"answer\": \"around 500\"\n },\n {\n \"question_id\": \"41201\",\n \"answer\": \"over two million\"\n },\n {\n \"question_id\": \"41202\",\n \"answer\": \"the 10th anniversary of the charts\"\n },\n {\n \"question_id\": \"41203\",\n \"answer\": \"a jubilee book\"\n },\n {\n \"question_id\": \"41204\",\n \"answer\": \"15,282\"\n },\n {\n \"question_id\": \"41205\",\n \"answer\": \"5,882\"\n },\n {\n \"question_id\": \"41206\",\n \"answer\": \"Belgium\"\n },\n {\n \"question_id\": \"41207\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41208\",\n \"answer\": \"Wallonia\"\n },\n {\n \"question_id\": \"41209\",\n \"answer\": \"Flanders\"\n },\n {\n \"question_id\": \"41210\",\n \"answer\": \"regional-language boundaries\"\n },\n {\n \"question_id\": \"41211\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41212\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41213\",\n \"answer\": \"the cultural differences\"\n },\n {\n \"question_id\": \"41214\",\n \"answer\": \"TMF\"\n },\n {\n \"question_id\": \"41215\",\n \"answer\": \"Wallonia\"\n },\n {\n \"question_id\": \"41216\",\n \"answer\": \"12:00 to 14:00\"\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 a tornado touched down in a small town nearby, many families were left completely destroyed. Afterward all the local newspapers carried many human-interest stories featuring some of the families who suffered the hardest. \n\nOne Sunday, a particular picture especially touched me. A young woman stood in front of an entirely shattered mobile home, a depressed expression twisting her features. A young boy, seven or eight years old, stood at her side, eyes downcast. Clutching at her skirt was a tiny girl who stared into the camera, eyes wide with confusion and fear. \n\nThe article that went with the picture gave the clothing sizes of each family member. With growing interest, I noticed that their sizes closely matched ours. This would be a good opportunity to teach my children to help those less fortunate than themselves. I taped the picture of the young family to our refrigerator, explaining their difficulty to my seven-year-old twins, Brad and Brett, and to three- year-old Meghan. \n\n\" We have so much. And these poor people now have nothing,\" I said.\"We'll share what we have with them.\" \n\nI brought three large boxes down from the room upstairs and placed them on the living room floor. Meghan watched seriously, as the boys and I filled one of the boxes with canned goods and foods. \n\nWhile I sorted through our clothes, I encouraged the boys to go through their toys and donate some of their less favorite things. Meghan watched quietly as the boys piled up discarded toys and games. \n\n\"I'll help you find something for the little girl when I'm done with this,\" I said. \n\nThe boys placed the toys they had chosen to donate into one of the boxes while I filled the third box with clothes. Meghan walked up with Lucy, her worn, faded, much-loved rag doll hugged tightly to her chest. She paused in front of the box that held the toys, pressed her round little face into Lucy's flat, painted-on-face, gave her a final kiss, then laid her gently on top of the other toys. \n\n\"Oh, Honey,\" I said.\"You don't have to give Lucy. You love her so much.\" \n\nMeghan nodded seriously, eyes glistening with held-back tears. '\"Lucy makes me happy, Mommy. Maybe she'll make that other little girl happy, too.\" \n\n_ , I stared at Meghan for a long moment, wondering how I could teach the boys the lesson she had just taught me. For I suddenly realized that anyone can give their cast-offs away. True generosity is giving that which you value most. \n\nHonest benevolence is a three-year-old offering a valuable, though shabby, doll to a little girl she doesn't know with the hope that it will bring this child as much pleasure as it brought her. I, who had wanted to teach, had been taught. \n\nThe boys had watched, open-mouthed, as their baby sister placed her favorite doll in the box. Without a word, Brad rose and went to his room. He came back carrying one of his favorite action figures. He hesitated briefly, clutching the toy, then looked over at Meghan and placed it in the box next to Lucy. \n\nA slow smile spread across Brett's face. Then he jumped up, eyes twinkling as he ran to fetch some of his prized Matchbox cars. \n\nAstonished, I realized that the boys had also recognized what little Meghan's gesture meant. Swallowing back tears, I pulled all three of them into my arms. \n\nTaking the cue from my little one, I removed my old jacket from the box of clothes. I replaced it with the new hunter green jacket that I had found on sale last week. I hoped the young woman in the picture would love it as much as I did. \n\nIt's easy to give that which we don't want any more, but harder to let go of things we cherish, isn't it? However, _\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97336\": \"What type of natural disaster happened?\"\n },\n {\n \"97337\": \"Who stared at the camera?\"\n },\n {\n \"97338\": \"What was the picture on the fridge of?\"\n },\n {\n \"97339\": \"Who did she have to explain their difficulty to?\"\n },\n {\n \"97340\": \"Who else?\"\n },\n {\n \"97341\": \"What was her name?\"\n },\n {\n \"97342\": \"What were the twins' names?\"\n },\n {\n \"97343\": \"What did they donate?\"\n },\n {\n \"97344\": \"What else?\"\n },\n {\n \"97345\": \"What did the girl donate?\"\n },\n {\n \"97346\": \"What did the woman donate?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97336\",\n \"answer\": \"tornado\"\n },\n {\n \"question_id\": \"97337\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"97338\",\n \"answer\": \"young family\"\n },\n {\n \"question_id\": \"97339\",\n \"answer\": \"seven-year-old twins\"\n },\n {\n \"question_id\": \"97340\",\n \"answer\": \"three- year-old\"\n },\n {\n \"question_id\": \"97341\",\n \"answer\": \"Meghan\"\n },\n {\n \"question_id\": \"97342\",\n \"answer\": \"Brad and Brett\"\n },\n {\n \"question_id\": \"97343\",\n \"answer\": \"canned goods and foods\"\n },\n {\n \"question_id\": \"97344\",\n \"answer\": \"clothes,toys less favorite things, games.\"\n },\n {\n \"question_id\": \"97345\",\n \"answer\": \"Lucy\"\n },\n {\n \"question_id\": \"97346\",\n \"answer\": \"clothes\"\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 (EW.com) -- Identity Thief (CinemaScore: B) fared even better than expected, bringing in $36.6 million over the weekend across 3,141 theaters. For comparison, Melissa McCarthy's last major film Bridesmaids (though it was in a supporting role) opened at $26.2 million, in 2,918 theaters. With an opening like this, big things are surely expected from Seth Gordon's R-rated comedy which has already surpassed its $35 million production budget. Though Bateman and Gordon had a successful run with Horrible Bosses after a $28.3 million opening weekend in July 2011, Bateman hasn't had this kind of luck with most of his starring roles. Universal's The Change-Up (with Ryan Reynolds) opened at $13.5 million in August 2011 and went on to gross only $37.1 million domestically, on a $52 million production budget. \n\nJonathan Levine's Warm Bodies took second place for its second weekend with $11.5 million, bringing its domestic total to $36.7 million. This breaks Levine's record, beating the lifetime domestic gross of his last feature, the cancer dramedy 50/50 with Seth Rogen and Joseph Gordon-Levitt, which brought in $35 million. \n\nThe R-rated Hitchcock-style, prescription-drug thriller Side Effects (CinemaScore: B) ended up beating director Steven Soderbergh's January 2012 weekend opening of Haywire, earning $10 million weekend this weekend and averaging $3,845 per theater. We talked a little bit about stars Rooney Mara and Channing Tatum's box office history yesterday. Another star of Side Effects is Jude Law, and he's got a varied track record at the box office. He generally participates in ensemble casts -- Anna Karenina, the Sherlock Holmes franchise, Soderbergh's Contagion, The Holiday -- making his singular box office appeal somewhat more elusive. Side Effects has Soderbergh's name and another strong ensemble, and could go on to a respectable run, even though it won't reach Contagion heights (the epidemic thriller eventually grossed $76 million). \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20551\": \"What is the name of the movie?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20551\",\n \"answer\": \"Identity Thief is the first mentioned\"\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 Cartilage is a resilient and smooth elastic tissue, rubber-like padding that covers and protects the ends of long bones at the joints, and is a structural component of the rib cage, the ear, the nose, the bronchial tubes, the intervertebral discs, and many other body components. It is not as hard and rigid as bone, but it is much stiffer and much less flexible than muscle. \n\nBecause of its rigidity, cartilage often serves the purpose of holding tubes open in the body. Examples include the rings of the trachea, such as the cricoid cartilage and carina. \n\nCartilage is composed of specialized cells called chondrocytes that produce a large amount of collagenous extracellular matrix, abundant ground substance that is rich in proteoglycan and elastin fibers. Cartilage is classified in three types, \"elastic cartilage\", \"hyaline cartilage\" and \"fibrocartilage\", which differ in relative amounts of collagen and proteoglycan. \n\nCartilage does not contain blood vessels (it is avascular) or nerves (it is aneural). Nutrition is supplied to the chondrocytes by diffusion. The compression of the articular cartilage or flexion of the elastic cartilage generates fluid flow, which assists diffusion of nutrients to the chondrocytes. Compared to other connective tissues, cartilage has a very slow turnover of its extracellular matrix and does not repair. In embryogenesis, the skeletal system is derived from the mesoderm germ layer. Chondrification (also known as chondrogenesis) is the process by which cartilage is formed from condensed mesenchyme tissue, which differentiates into chondroblasts and begins secreting the molecules (aggrecan and collagen type II) that form the extracellular matrix.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75833\": \"What substance can cartilage be compared to?\"\n },\n {\n \"75834\": \"Is it flexible or rigid?\"\n },\n {\n \"75835\": \"Where is cartilage located in the body?\"\n },\n {\n \"75836\": \"Anywhere else?\"\n },\n {\n \"75837\": \"What is cartilage like compared to muscle?\"\n },\n {\n \"75838\": \"What kinds of cells is cartilage made up of?\"\n },\n {\n \"75839\": \"What are they called?\"\n },\n {\n \"75840\": \"What do they produce?\"\n },\n {\n \"75841\": \"How many types of cartilage are there?\"\n },\n {\n \"75842\": \"How do they differ?\"\n },\n {\n \"75843\": \"How do cartilage cells get nutrition?\"\n },\n {\n \"75844\": \"How often does cartilage repair itself?\"\n },\n {\n \"75845\": \"Does cartilage have blood vessels?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75833\",\n \"answer\": \"other connective tissues\"\n },\n {\n \"question_id\": \"75834\",\n \"answer\": \"flexibl\"\n },\n {\n \"question_id\": \"75835\",\n \"answer\": \", the ear,\"\n },\n {\n \"question_id\": \"75836\",\n \"answer\": \"the rib cage\"\n },\n {\n \"question_id\": \"75837\",\n \"answer\": \"stiffer\"\n },\n {\n \"question_id\": \"75838\",\n \"answer\": \"specialized cells\"\n },\n {\n \"question_id\": \"75839\",\n \"answer\": \"chondrocytes\"\n },\n {\n \"question_id\": \"75840\",\n \"answer\": \"matrix\"\n },\n {\n \"question_id\": \"75841\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"75842\",\n \"answer\": \"in relative amounts of collagen and proteoglycan\"\n },\n {\n \"question_id\": \"75843\",\n \"answer\": \"diffusion\"\n },\n {\n \"question_id\": \"75844\",\n \"answer\": \"never\"\n },\n {\n \"question_id\": \"75845\",\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 Grandma was always forgetting things.\" What's wrong with her?\" Anna asked. \"We think she's getting old, and she may be ill. We may have to send her to a nursing home so that she can be taken good care of. But we can go to see her and bring her presents, like strawberry ice cream.\" Mother said. One day, they went to see Grandma at the nursing home. Anna hugged Grandma. \"Look,\" she said, \"we've brought you strawberry ice cream!\" Grandma didn't say anything. She just took it and began eating. \"Do you know who I am?\" Anna asked. \"You're the girl who brings me ice cream.\" Grandma said. \"Yes, but I'm Anna, your granddaughter. Don't you remember me?\" she asked, throwing her arms around the old lady. Grandma smiled, \"Remember? Sure. You're the girl who brings me ice cream.\" Suddenly Anna realized that Grandma would never remember her. \"Oh, how I love you, Grandma!\" she said. Just then she saw a tear roll down Grandma's cheeks . \"Love,\" she said, \"I remember love. n \"You see, dear, that's what she wants--love!\" Mother said. It's more important to remember love than someone's name.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97607\": \"Who was always forgetting things?\"\n },\n {\n \"97608\": \"Who thought something was wrong with her?\"\n },\n {\n \"97609\": \"What kind of ice cream did Anna's mom mention?\"\n },\n {\n \"97610\": \"Who would the ice cream be a present for?\"\n },\n {\n \"97611\": \"What's more important to remember than someone/s name?\"\n },\n {\n \"97612\": \"Who remembered it?\"\n },\n {\n \"97613\": \"Who thought she knew why Grandma was forgetting things?\"\n },\n {\n \"97614\": \"What was her thought on the reason for Grandma's memory loss?\"\n },\n {\n \"97615\": \"What did Anna's mom say Grandma wanted more than ice cream?\"\n },\n {\n \"97616\": \"Who's the girl who brings grandma ice cream?\"\n },\n {\n \"97617\": \"Who did she throw her arms around?\"\n },\n {\n \"97618\": \"Was Grandma young?\"\n },\n {\n \"97619\": \"Where was grandma sent?\"\n },\n {\n \"97620\": \"Why was she sent there?\"\n },\n {\n \"97621\": \"Is grandma in good health?\"\n },\n {\n \"97622\": \"What was on Grandma's cheeks?\"\n },\n {\n \"97623\": \"Who does Anna love?\"\n },\n {\n \"97624\": \"Did they visit Grandma at night?\"\n },\n {\n \"97625\": \"Did Grandma thank Anna for the ice cream?\"\n },\n {\n \"97626\": \"Does a boy bring Grandma ice cream?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97607\",\n \"answer\": \"Grandma\"\n },\n {\n \"question_id\": \"97608\",\n \"answer\": \"Anna\"\n },\n {\n \"question_id\": \"97609\",\n \"answer\": \"strawberry\"\n },\n {\n \"question_id\": \"97610\",\n \"answer\": \"Grandma\"\n },\n {\n \"question_id\": \"97611\",\n \"answer\": \"love\"\n },\n {\n \"question_id\": \"97612\",\n \"answer\": \"Grandma\"\n },\n {\n \"question_id\": \"97613\",\n \"answer\": \"Mother\"\n },\n {\n \"question_id\": \"97614\",\n \"answer\": \"she's getting old, and she may be ill.\"\n },\n {\n \"question_id\": \"97615\",\n \"answer\": \"love\"\n },\n {\n \"question_id\": \"97616\",\n \"answer\": \"Anna\"\n },\n {\n \"question_id\": \"97617\",\n \"answer\": \"Grandma\"\n },\n {\n \"question_id\": \"97618\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97619\",\n \"answer\": \"a nursing home\"\n },\n {\n \"question_id\": \"97620\",\n \"answer\": \"so that she can be taken good care of.\"\n },\n {\n \"question_id\": \"97621\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97622\",\n \"answer\": \"a tear\"\n },\n {\n \"question_id\": \"97623\",\n \"answer\": \"Grandma\"\n },\n {\n \"question_id\": \"97624\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97625\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97626\",\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 Thirty years ago, the Earnshaw family lived at Wuthering Heights, with two teenaged children Hindley and Catherine. Mr. Earnshaw travels to Liverpool, where he adopts a homeless Gypsy boy, naming him \"Heathcliff\". Hindley finds himself robbed of his father's love and care and becomes bitterly jealous of the newcomer. However, Catherine grows very attached to him. Soon, the two children spend hours on the moors together and hate every moment apart. Because of the conflict , Hindley is eventually sent to college. However, he marries a woman named Frances and returns three years later, after Mr. Earnshaw dies. He becomes master of Wuthering Heights, making Heathcliff their servant instead of a family member. Months after Hindley's return, Heathcliff and Catherine travel to Thrushcross Grange to spy on the Linton family. However, they are found and try to escape. Catherine is caught by a dog, and then brought inside the Grange to have injuries tended to while Heathcliff is sent home. Catherine eventually returns to Wuthering Heights as a changed woman, looking and acting as a lady. She laughs at HeathcIiff's dirty appearance. When the Lintons visit the next day, Heathcliff dresses up to impress her. It fails, however, when Edgar, one of the Lintons' children, argues with him. Heathcliff is locked in the attic, where Catherine later tries to comfort him. He swears revenge on Hindley. In the summer of the next year, Frances gives birth to a son, Hareton, but she dies before the year is out. This leads Hindley to fall into a life of drunkenness and waste. Two years pass and Catherine has become close friends with Edgar, growing more distant from Heathcliff. One day in August, while Hindley is absent, Edgar comes to visit Catherine. Before long, they declare themselves lovers. Catherine explains to Nelly, her servant, that she does not really love Edgar but Heathcliff. Unfortunately, she could never marry Heathcliff because of his lack of status and education. She therefore plans to marry Edgar and use that position to help raise Heathcliff's status. Unfortunately, Heathcliff has overheard _ and runs away, disappearing without a trace. After three years, Edgar and Catherine are married. Six months after their marriage, Heathcliff returns as a gentleman, having grown stronger and richer. Catherine is delighted to see him although Edgar is not so keen. Edgar's sister, Isabella, now eighteen, falls in love with Heathcliff. He looks down upon her but encourages the adolescent love, seeing it as a chance for revenge on Edgar. When he embraces Isabella one day at the Grange, there is an argument with Edgar, which causes Catherine to lock herself in her room and fall ill. Heathcliff has been staying at the Heights, gambling with Hindley and teaching Hareton bad habits. Hindley is gradually losing his wealth, mortgaging the farmhouse to Heathcliff to repay his debts. While Catherine is ill, Heathcliff leaves with Isabella, causing Edgar to disown (......) his sister. The two marry and return two months later to Wuthering Heights. Heathcliff hears that Catherine is ill and arranges to visit her in secret. In the early hours of the day after their meeting, Catherine gives birth to her daughter, Cathy, and then dies. Hindley dies six months after Catherine. Heathcliff finds himself the master of Wuthering Heights and the guardian of Hareton.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67188\": \"How many children did the family have?\"\n },\n {\n \"67189\": \"Where did Mr. Earnshaw travel to adopt a homeless?\"\n },\n {\n \"67190\": \"How did Hindley fell after his father adopt a new kid?\"\n },\n {\n \"67191\": \"Where did Hindley go because the conflict?\"\n },\n {\n \"67192\": \"Did Hindley marry?\"\n },\n {\n \"67193\": \"What is the name of his wife?\"\n },\n {\n \"67194\": \"What did happen with Mr. Earnshaw?\"\n },\n {\n \"67195\": \"Who becomes master of Wuthering Heights?\"\n },\n {\n \"67196\": \"What did happen with Heathcliff?\"\n },\n {\n \"67197\": \"What did happen with Catherine?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67188\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"67189\",\n \"answer\": \"Liverpool\"\n },\n {\n \"question_id\": \"67190\",\n \"answer\": \"jealous\"\n },\n {\n \"question_id\": \"67191\",\n \"answer\": \"to college\"\n },\n {\n \"question_id\": \"67192\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67193\",\n \"answer\": \"Frances\"\n },\n {\n \"question_id\": \"67194\",\n \"answer\": \"he dies\"\n },\n {\n \"question_id\": \"67195\",\n \"answer\": \"Heathcliff\"\n },\n {\n \"question_id\": \"67196\",\n \"answer\": \"made a servant\"\n },\n {\n \"question_id\": \"67197\",\n \"answer\": \"she dies\"\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 Hoover began using wiretapping in the 1920s during Prohibition to arrest bootleggers. In the 1927 case Olmstead v. United States, in which a bootlegger was caught through telephone tapping, the United States Supreme Court ruled that FBI wiretaps did not violate the Fourth Amendment as unlawful search and seizure, as long as the FBI did not break into a person's home to complete the tapping. After Prohibition's repeal, Congress passed the Communications Act of 1934, which outlawed non-consensual phone tapping, but allowed bugging. In the 1939 case Nardone v. United States, the court ruled that due to the 1934 law, evidence the FBI obtained by phone tapping was inadmissible in court. After the 1967 case Katz v. United States overturned the 1927 case that had allowed bugging, Congress passed the Omnibus Crime Control Act, allowing public authorities to tap telephones during investigations as long as they obtain a warrant beforehand. \n\nIn March 1971, the residential office of an FBI agent in Media, Pennsylvania was burglarized by a group calling itself the Citizens' Commission to Investigate the FBI. Numerous files were taken and distributed to a range of newspapers, including The Harvard Crimson. The files detailed the FBI's extensive COINTELPRO program, which included investigations into lives of ordinary citizens—including a black student group at a Pennsylvania military college and the daughter of Congressman Henry Reuss of Wisconsin. The country was \"jolted\" by the revelations, which included assassinations of political activists, and the actions were denounced by members of Congress, including House Majority Leader Hale Boggs. The phones of some members of Congress, including Boggs, had allegedly been tapped.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23472\": \"What act let authorities wiretap people's phones with a warrant?\"\n },\n {\n \"23473\": \"Who was it passed by?\"\n },\n {\n \"23474\": \"Which case overturned Olmstead v. United States?\"\n },\n {\n \"23475\": \"In what year?\"\n },\n {\n \"23476\": \"What happened in March 1971?\"\n },\n {\n \"23477\": \"by who?\"\n },\n {\n \"23478\": \"What did they take from there?\"\n },\n {\n \"23479\": \"And what did they do with them?\"\n },\n {\n \"23480\": \"What program did they have information on?\"\n },\n {\n \"23481\": \"And it included investigations into whose lives?\"\n },\n {\n \"23482\": \"How did the population react?\"\n },\n {\n \"23483\": \"What did Hoover begin doing?\"\n },\n {\n \"23484\": \"When?\"\n },\n {\n \"23485\": \"For what purpose?\"\n },\n {\n \"23486\": \"What had happened to some members of Congress?\"\n },\n {\n \"23487\": \"What did the Communications Act of 1934 do?\"\n },\n {\n \"23488\": \"And it was passed after what?\"\n },\n {\n \"23489\": \"Who was Hale Boggs at the time?\"\n },\n {\n \"23490\": \"Where was the office of the FBI agent who was burglarized?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23472\",\n \"answer\": \"the Omnibus Crime Control Act\"\n },\n {\n \"question_id\": \"23473\",\n \"answer\": \"Congress\"\n },\n {\n \"question_id\": \"23474\",\n \"answer\": \"Katz v. United States\"\n },\n {\n \"question_id\": \"23475\",\n \"answer\": \"1967\"\n },\n {\n \"question_id\": \"23476\",\n \"answer\": \"the residential office of an FBI agent was burglarized\"\n },\n {\n \"question_id\": \"23477\",\n \"answer\": \"a group calling itself the Citizens' Commission to Investigate the FBI.\"\n },\n {\n \"question_id\": \"23478\",\n \"answer\": \"Numerous files\"\n },\n {\n \"question_id\": \"23479\",\n \"answer\": \"They were distributed to a range of newspapers\"\n },\n {\n \"question_id\": \"23480\",\n \"answer\": \"the COINTELPRO program\"\n },\n {\n \"question_id\": \"23481\",\n \"answer\": \"the lives of ordinary citizens\"\n },\n {\n \"question_id\": \"23482\",\n \"answer\": \"The country was \\\"jolted\\\" by the revelations\"\n },\n {\n \"question_id\": \"23483\",\n \"answer\": \"He began using wiretapping\"\n },\n {\n \"question_id\": \"23484\",\n \"answer\": \"in the 1920s\"\n },\n {\n \"question_id\": \"23485\",\n \"answer\": \"to arrest bootleggers\"\n },\n {\n \"question_id\": \"23486\",\n \"answer\": \"Their phones had allegedly been tapped\"\n },\n {\n \"question_id\": \"23487\",\n \"answer\": \"outlawed non-consensual phone tapping, but allowed bugging\"\n },\n {\n \"question_id\": \"23488\",\n \"answer\": \"the 1927 case Olmstead v. United States\"\n },\n {\n \"question_id\": \"23489\",\n \"answer\": \"House Majority Leader\"\n },\n {\n \"question_id\": \"23490\",\n \"answer\": \"Media, Pennsylvania\"\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 MADRID, Spain (CNN) -- Spain's spy agency chief said Tuesday a suspected double agent had been arrested who revealed the names of Spanish spies and other state secrets to a foreign nation. \n\nSpain's SER Radio reported the recipient nation was Russia. \n\nThe suspect, Robert Flores Garcia, was arrested Monday morning at his home on Tenerife Island in Spain's Canary Islands. He passed secrets in exchange for hefty payments from December 2001 to February 2004, said the spy chief, Alberto Saiz, head of the National Intelligence Agency (known by its Spanish initials CNI). \n\nSaiz, at a news conference, refused to publicly identify the recipient country, but Spain's SER Radio, said it was Russia, citing unnamed sources. \n\nFlores, a Spanish Civil Guard assigned to spy agency headquarters for internal matters, had been a suspect under surveillance by Spanish intelligence since July 2005, said Saiz. \n\nFlores resigned from his position at the spy agency in January 2004, Saiz said. \n\nSaiz insisted that Spain's national security was never threatened, nor, he said, was there a threat to security at NATO and the European Union. Spain is a member country of both organizations. \n\nBut Saiz said the alleged revelations of the suspected double agent forced Spain to substitute a number of its spies. \n\nThe suspect allegedly revealed the names of dozens of Spanish spies, possibly including the seven Spanish spies killed in an ambush south of Baghdad in November 2003, Saiz said. \n\nAn eighth Spanish intelligence agent traveling with them survived. The eight spies, were in Iraq to provide intelligence for Spanish troops who were stationed at the time in Iraq as part of the U.S.-led coalition. The spies were traveling in two vehicles when insurgents launched an ambush with automatic weapons and rocket-propelled grenades. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36598\": \"Who was arrested?\"\n },\n {\n \"36599\": \"What was their name?\"\n },\n {\n \"36600\": \"Where was he arrested?\"\n },\n {\n \"36601\": \"Where was that?\"\n },\n {\n \"36602\": \"Where is the island located?\"\n },\n {\n \"36603\": \"When was this?\"\n },\n {\n \"36604\": \"What was he suspected of doing?\"\n },\n {\n \"36605\": \"Anything else?\"\n },\n {\n \"36606\": \"Did Flores resign?\"\n },\n {\n \"36607\": \"When?\"\n },\n {\n \"36608\": \"Who was Alberto Saiz?\"\n },\n {\n \"36609\": \"Did he think Spain's national security was threatened?\"\n },\n {\n \"36610\": \"How long had Flores been under surveillance?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36598\",\n \"answer\": \"a suspected double agent\"\n },\n {\n \"question_id\": \"36599\",\n \"answer\": \"Robert Flores Garcia\"\n },\n {\n \"question_id\": \"36600\",\n \"answer\": \"at his home\"\n },\n {\n \"question_id\": \"36601\",\n \"answer\": \"on Tenerife Island\"\n },\n {\n \"question_id\": \"36602\",\n \"answer\": \"in Spain's Canary Islands\"\n },\n {\n \"question_id\": \"36603\",\n \"answer\": \"Monday morning\"\n },\n {\n \"question_id\": \"36604\",\n \"answer\": \"revealed the names of Spanish spies and other state secrets to a foreign nation\"\n },\n {\n \"question_id\": \"36605\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"36606\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36607\",\n \"answer\": \"in January 2004\"\n },\n {\n \"question_id\": \"36608\",\n \"answer\": \"head of the Spanish National Intelligence Agency\"\n },\n {\n \"question_id\": \"36609\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"36610\",\n \"answer\": \"since July 2005\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- Cartoonist Jerry Robinson, who worked on the earliest Batman comics and claimed credit for creating the super-villain The Joker, died Thursday at the age of 89, his family confirmed. \n\n\"Batman has lost another father,\" Batman movie producer Michael Uslan said. \"Farewell to my dear, dear friend, mentor and idol, Jerry Robinson.\" \n\nSpider-man co-creator Stan Lee, who was with rival Marvel Comics, called him \"a genuine talent and a genuine gentleman.\" \n\n\"Jerry Robinson was not only one of the finest artists ever to illustrate comic books, but he was also the head of an editorial syndicate which made cartoons available worldwide, as well as being an inspiration to young artists, whom he always found time to help and advise,\" Lee said. \n\nRobinson, in a panel discussion at New York Comic Con in 2009, said he was a 17-year-old creative writing student at Columbia University when he was hired as a writer and illustrator at DC Comics. \n\nThough he was initially just assisting Batman creators Bob Kane and Bill Finger, his chance to create The Joker came in 1940, when the demand for more Batman stories overloaded Finger. \n\n\"This was going to be a problem, so I volunteered to do one of the stories,\" Robinson said. \n\nHe handed in the work for a grade in his college creative writing class, he said. \n\n\"I wanted a very strong villain, because I thought that's going to carry the story,\" Robinson said. \"Villains are more exciting.\" \n\nHe wanted his villain to have a sense of humor, and \"in a space of hours\" one night \"somehow The Joker came out,\" Robinson said. The first Joker image was modeled out of the joker card in a deck of playing cards, he said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13248\": \"Which villain did this cartoonist create?\"\n },\n {\n \"13249\": \"When ?\"\n },\n {\n \"13250\": \"What was the model for the first Joker image?\"\n },\n {\n \"13251\": \"Who was one of the first Batman creators?\"\n },\n {\n \"13252\": \"Who was another?\"\n },\n {\n \"13253\": \"Which cartoonist died recently?\"\n },\n {\n \"13254\": \"How old was he?\"\n },\n {\n \"13255\": \"What day of the week ?\"\n },\n {\n \"13256\": \"What did Stan Lee call him?\"\n },\n {\n \"13257\": \"Who did Stan Lee work for?\"\n },\n {\n \"13258\": \"Which Comic Con year is mentioned?\"\n },\n {\n \"13259\": \"Did Robinson speak there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13248\",\n \"answer\": \"The Joker\"\n },\n {\n \"question_id\": \"13249\",\n \"answer\": \"1940\"\n },\n {\n \"question_id\": \"13250\",\n \"answer\": \"the joker card in a deck of playing cards\"\n },\n {\n \"question_id\": \"13251\",\n \"answer\": \"Bob Kane\"\n },\n {\n \"question_id\": \"13252\",\n \"answer\": \"Bill Finger\"\n },\n {\n \"question_id\": \"13253\",\n \"answer\": \"Jerry Robinson\"\n },\n {\n \"question_id\": \"13254\",\n \"answer\": \"89\"\n },\n {\n \"question_id\": \"13255\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"13256\",\n \"answer\": \"\\\"genuine talent and a genuine gentleman\\\"\"\n },\n {\n \"question_id\": \"13257\",\n \"answer\": \"Marvel Comics\"\n },\n {\n \"question_id\": \"13258\",\n \"answer\": \"2009\"\n },\n {\n \"question_id\": \"13259\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In the Roman era, copper was principally mined on Cyprus, the origin of the name of the metal from aes сyprium (metal of Cyprus), later corrupted to сuprum, from which the words copper (English), cuivre (French), Koper (Dutch) and Kupfer (German) are all derived. Its compounds are commonly encountered as copper(II) salts, which often impart blue or green colors to minerals such as azurite, malachite and turquoise and have been widely used historically as pigments. Architectural structures built with copper corrode to give green verdigris (or patina). Decorative art prominently features copper, both by itself and in the form of pigments. \n\nCopper occurs naturally as native copper and was known to some of the oldest civilizations on record. It has a history of use that is at least 10,000 years old, and estimates of its discovery place it at 9000 BC in the Middle East; a copper pendant was found in northern Iraq that dates to 8700 BC. There is evidence that gold and meteoric iron (but not iron smelting) were the only metals used by humans before copper. The history of copper metallurgy is thought to have followed the following sequence: 1) cold working of native copper, 2) annealing, 3) smelting, and 4) the lost wax method. In southeastern Anatolia, all four of these metallurgical techniques appears more or less simultaneously at the beginning of the Neolithic c. 7500 BC. However, just as agriculture was independently invented in several parts of the world, copper smelting was invented locally in several different places. It was probably discovered independently in China before 2800 BC, in Central America perhaps around 600 AD, and in West Africa about the 9th or 10th century AD. Investment casting was invented in 4500–4000 BC in Southeast Asia and carbon dating has established mining at Alderley Edge in Cheshire, UK at 2280 to 1890 BC. Ötzi the Iceman, a male dated from 3300–3200 BC, was found with an axe with a copper head 99.7% pure; high levels of arsenic in his hair suggest his involvement in copper smelting. Experience with copper has assisted the development of other metals; in particular, copper smelting led to the discovery of iron smelting. Production in the Old Copper Complex in Michigan and Wisconsin is dated between 6000 and 3000 BC. Natural bronze, a type of copper made from ores rich in silicon, arsenic, and (rarely) tin, came into general use in the Balkans around 5500 BC.[citation needed]\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2857\": \"Does copper occur naturally?\"\n },\n {\n \"2858\": \"How long has it been used?\"\n },\n {\n \"2859\": \"When was it discovered?\"\n },\n {\n \"2860\": \"Where?\"\n },\n {\n \"2861\": \"What was found in North Iraq?\"\n },\n {\n \"2862\": \"What is it dated?\"\n },\n {\n \"2863\": \"What metals were used by people before copper?\"\n },\n {\n \"2864\": \"How many sequences did copper metallurgy have?\"\n },\n {\n \"2865\": \"What happened in 2800 BC?\"\n },\n {\n \"2866\": \"Where was copper mined in the roman era?\"\n },\n {\n \"2867\": \"What color does copper turn in architecture?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2857\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2858\",\n \"answer\": \"10,000 years\"\n },\n {\n \"question_id\": \"2859\",\n \"answer\": \"9000 BC\"\n },\n {\n \"question_id\": \"2860\",\n \"answer\": \"Middle East\"\n },\n {\n \"question_id\": \"2861\",\n \"answer\": \"A copper pendant\"\n },\n {\n \"question_id\": \"2862\",\n \"answer\": \"8700 BC\"\n },\n {\n \"question_id\": \"2863\",\n \"answer\": \"Gold and meteoric iron\"\n },\n {\n \"question_id\": \"2864\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"2865\",\n \"answer\": \"Copper was discovered sometimes before then\"\n },\n {\n \"question_id\": \"2866\",\n \"answer\": \"Cyprus\"\n },\n {\n \"question_id\": \"2867\",\n \"answer\": \"Green verdigris or patina\"\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 Some definitions of southern Europe, also known as Mediterranean Europe, include the countries of the Iberian peninsula (Spain and Portugal), the Italian peninsula, southern France and Greece. Other definitions sometimes include the Balkan countries of southeast Europe, which are geographically in the southern part of Europe, but which have different historical, political, economic, and cultural backgrounds. \n\nDifferent methods can be used to define southern Europe, including its political, economic, and cultural attributes. Southern Europe can also be defined by its natural features — its geography, climate, and flora. \n\nSouthern Europe's most emblematic climate is that of the Mediterranean climate, which has become a typically known characteristic of the area. The Mediterranean climate covers much of Portugal, Spain, Southeast France, Italy, Croatia, Albania, Montenegro, Greece, the Western and Southern coastal regions of Turkey as well as the Mediterranean islands. Those areas of Mediterranean climate present similar vegetations and landscapes throughout, including dry hills, small plains, pine forests and olive trees.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76379\": \"Describe vegetation of the Mediterranean\"\n },\n {\n \"76380\": \"What type of forests?\"\n },\n {\n \"76381\": \"What does the Iberian peninsula consist of?\"\n },\n {\n \"76382\": \"What other peninsula is part of the region?\"\n },\n {\n \"76383\": \"Where are the Balkans located?\"\n },\n {\n \"76384\": \"Which lands have the Mediterranean climate?\"\n },\n {\n \"76385\": \"And?\"\n },\n {\n \"76386\": \"And?\"\n },\n {\n \"76387\": \"Does Turkey have the same climate?\"\n },\n {\n \"76388\": \"What parts?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"76379\",\n \"answer\": \"dry hills\"\n },\n {\n \"question_id\": \"76380\",\n \"answer\": \"pine\"\n },\n {\n \"question_id\": \"76381\",\n \"answer\": \"Spain and Portugal\"\n },\n {\n \"question_id\": \"76382\",\n \"answer\": \"the Italian peninsula\"\n },\n {\n \"question_id\": \"76383\",\n \"answer\": \"in the southern part of Europe\"\n },\n {\n \"question_id\": \"76384\",\n \"answer\": \"Greece\"\n },\n {\n \"question_id\": \"76385\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"76386\",\n \"answer\": \"much of Portugal\"\n },\n {\n \"question_id\": \"76387\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76388\",\n \"answer\": \"the Western and Southern coastal regions\"\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 Bulgaria, officially the Republic of Bulgaria, is a country in southeastern Europe. It is bordered by Romania to the north, Serbia and Macedonia to the west, Greece and Turkey to the south, and the Black Sea to the east. With a territory of , Bulgaria is Europe's 16th-largest country. \n\nOrganised prehistoric cultures began developing on current Bulgarian lands during the Neolithic period. Its ancient history saw the presence of the Thracians, Greeks, Persians, Celts, Romans, Goths, Alans and Huns. The emergence of a unified Bulgarian state dates back to the establishment of the First Bulgarian Empire in 681 AD, which dominated most of the Balkans and functioned as a cultural hub for Slavs during the Middle Ages. With the downfall of the Second Bulgarian Empire in 1396, its territories came under Ottoman rule for nearly five centuries. The Russo-Turkish War of 1877–78 led to the formation of the Third Bulgarian State. The following years saw several conflicts with its neighbours, which prompted Bulgaria to align with Germany in both world wars. In 1946 it became a one-party socialist state as part of the Soviet-led Eastern Bloc. In December 1989 the ruling Communist Party allowed multi-party elections, which subsequently led to Bulgaria's transition into a democracy and a market-based economy.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54320\": \"When were the first Bulgarian cultures started?\"\n },\n {\n \"54321\": \"Were the Greeks ever in the area?\"\n },\n {\n \"54322\": \"How many others are listed?\"\n },\n {\n \"54323\": \"About when was the first unified state there?\"\n },\n {\n \"54324\": \"What was it called?\"\n },\n {\n \"54325\": \"What area did it control?\"\n },\n {\n \"54326\": \"Who was there?\"\n },\n {\n \"54327\": \"Was this during the Renaissance?\"\n },\n {\n \"54328\": \"What was this time period called?\"\n },\n {\n \"54329\": \"What occurred in 1396?\"\n },\n {\n \"54330\": \"Who took over then?\"\n },\n {\n \"54331\": \"Were they in charge for a long time?\"\n },\n {\n \"54332\": \"What was the outcome of the Russo-Turkish War?\"\n },\n {\n \"54333\": \"What year was that?\"\n },\n {\n \"54334\": \"Did they join the allies in WW2?\"\n },\n {\n \"54335\": \"Were they democratic in the years after the war?\"\n },\n {\n \"54336\": \"Did they ever become that?\"\n },\n {\n \"54337\": \"When?\\\\\"\n },\n {\n \"54338\": \"What body of water is Bulgaria west of?\"\n },\n {\n \"54339\": \"How many countries in Europe are bigger?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54320\",\n \"answer\": \"the Neolithic period\"\n },\n {\n \"question_id\": \"54321\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54322\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"54323\",\n \"answer\": \"681 AD\"\n },\n {\n \"question_id\": \"54324\",\n \"answer\": \"the First Bulgarian Empire\"\n },\n {\n \"question_id\": \"54325\",\n \"answer\": \"most of the Balkans\"\n },\n {\n \"question_id\": \"54326\",\n \"answer\": \"Slavs\"\n },\n {\n \"question_id\": \"54327\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54328\",\n \"answer\": \"the Middle Ages\"\n },\n {\n \"question_id\": \"54329\",\n \"answer\": \"the downfall of the Second Bulgarian Empire\"\n },\n {\n \"question_id\": \"54330\",\n \"answer\": \"the Ottomans\"\n },\n {\n \"question_id\": \"54331\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54332\",\n \"answer\": \"the formation of the Third Bulgarian State\"\n },\n {\n \"question_id\": \"54333\",\n \"answer\": \"1877\\u201378\"\n },\n {\n \"question_id\": \"54334\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54335\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54336\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54337\",\n \"answer\": \"After December 1989\"\n },\n {\n \"question_id\": \"54338\",\n \"answer\": \"the Black Sea\"\n },\n {\n \"question_id\": \"54339\",\n \"answer\": \"15\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Unlike chemists and physicists, who usually do their experiments using machines, biologists and medical researchers have to use living things like rats. But there are three Nobel prize-winning scientists who actually chose to experiment on themselves - all in the name of science, reported The Telegraph. 1. Werner Forssmann (Nobel prize winner in 1956) Forssmann was a German scientist. He studied how to put a pipe inside the heart to measure the pressure inside and decide whether a patient needs surgery. Experiments had been done on horses before, so he wanted to try with human patients. But it was not permitted because the experiment was considered too dangerous. Not giving up, Forssmann decided to experiment on himself. He anaesthetized his own arm and made a cut, putting the pipe 30 centimeters into his vein. He then climbed two floors to the X-ray room before pushing the pipe all the way into his heart. 2. Barry Marshall (Nobel prize winner in 2005) Most doctors in the mid-20th century believed that _ was down to stress, spicy food or an unusually large amount of stomach acid. But in 1979 an Australian scientist named Robin Warren found that the disease might be related to a bacteria called Helicobacter pylori. So he teamed up with his colleague, Barry Marshall, to continue the study. When their request to experiment on patients was denied, Marshall bravely drank some of the bacteria. Five days later, he lost his appetite and soon was vomiting each morning - he indeed had gastritis. 3. Ralph Steinman (Nobel prize winner in 2011) This Canadian scientist discovered a new type of immune system cell called the dendritic cell. He believed that it had the ability to fight against cancer. Steinman knew he couldn't yet use his method to treat patients. So in 2007, when doctors told him that he had cancer and that it was unlikely for him to live longer than a year, he saw an opportunity. With the help of his colleagues, he gave himself three different vaccines based on his research and a total of eight experimental therapies. Even though Steinman eventually died from his cancer, he lived four and a half years, much longer than doctors had said he would.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5961\": \"Do chemists usually use rats for their testing?\"\n },\n {\n \"5962\": \"Who uses rats?\"\n },\n {\n \"5963\": \"Who was Werner Forssmann?\"\n },\n {\n \"5964\": \"when did he when the Nobel prize?\"\n },\n {\n \"5965\": \"what did he study?\"\n },\n {\n \"5966\": \"Which human did he want to perform an experiment on?\"\n },\n {\n \"5967\": \"was he supposed to?\"\n },\n {\n \"5968\": \"did he do it anyway?\"\n },\n {\n \"5969\": \"what did he do to his arm?\"\n },\n {\n \"5970\": \"then where did he go?\"\n },\n {\n \"5971\": \"to do what?\"\n },\n {\n \"5972\": \"Who was Ralph Steinman?\"\n },\n {\n \"5973\": \"did he discover something?\"\n },\n {\n \"5974\": \"what was it?\"\n },\n {\n \"5975\": \"what disease did he think it could fight?\"\n },\n {\n \"5976\": \"did he ever when the Nobel Prize?\"\n },\n {\n \"5977\": \"when?\"\n },\n {\n \"5978\": \"how did he die?\"\n },\n {\n \"5979\": \"did he live longer than expected?\"\n },\n {\n \"5980\": \"how much longer?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5961\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5962\",\n \"answer\": \"biologists and medical researchers\"\n },\n {\n \"question_id\": \"5963\",\n \"answer\": \"German scientist\"\n },\n {\n \"question_id\": \"5964\",\n \"answer\": \"1956\"\n },\n {\n \"question_id\": \"5965\",\n \"answer\": \"He studied how to put a pipe inside the heart to measure the pressure inside and decide whether a patient needs surgery.\"\n },\n {\n \"question_id\": \"5966\",\n \"answer\": \"himself\"\n },\n {\n \"question_id\": \"5967\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"5968\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"5969\",\n \"answer\": \"made a cut, putting the pipe 30 centimeters into his vein\"\n },\n {\n \"question_id\": \"5970\",\n \"answer\": \"X-ray room\"\n },\n {\n \"question_id\": \"5971\",\n \"answer\": \"pushing the pipe all the way into his heart\"\n },\n {\n \"question_id\": \"5972\",\n \"answer\": \"Canadian scientist\"\n },\n {\n \"question_id\": \"5973\",\n \"answer\": \"a new type of immune system cell\"\n },\n {\n \"question_id\": \"5974\",\n \"answer\": \"the dendritic cell\"\n },\n {\n \"question_id\": \"5975\",\n \"answer\": \"cancer\"\n },\n {\n \"question_id\": \"5976\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5977\",\n \"answer\": \"2011\"\n },\n {\n \"question_id\": \"5978\",\n \"answer\": \"cancer\"\n },\n {\n \"question_id\": \"5979\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5980\",\n \"answer\": \"four and a half years\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Margaret Hilda Thatcher, Baroness Thatcher, (; 13 October 19258 April 2013) was a British who was Prime Minister of the United Kingdom from 1979 to 1990 and Leader of the Conservative Party from 1975 to 1990. She was the longest-serving British prime minister of the 20th century and the first woman to have been appointed. A Soviet journalist dubbed her the \"Iron Lady\", a nickname that became associated with her uncompromising politics and leadership style. As Prime Minister, she implemented policies that have come to be known as Thatcherism. \n\nA research chemist before becoming a barrister, Thatcher was elected Member of Parliament for Finchley in 1959. Edward Heath appointed her Secretary of State for Education and Science in his Conservative government. In 1975, Thatcher defeated Heath in the Conservative Party leadership election to become Leader of the Opposition and became the first woman to lead a major political party in the United Kingdom. She became Prime Minister after winning the 1979 general election. \n\nOn moving into , Thatcher introduced a series of political and economic initiatives intended to reverse high unemployment and Britain's struggles in the wake of the Winter of Discontent and an ongoing recession. Her political philosophy and economic policies emphasised deregulation (particularly of the financial sector), flexible labour markets, the privatisation of state-owned companies, and reducing the power and influence of trade unions. Thatcher's popularity during her first years in office waned amid recession and increasing unemployment, until victory in the 1982 Falklands War and the recovering economy brought a resurgence of support, resulting in her decisive re-election in 1983. She survived an assassination attempt in 1984.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14901\": \"What was Thatcher's nickname?\"\n },\n {\n \"14902\": \"Who dubbed her that?\"\n },\n {\n \"14903\": \"What was her party?\"\n },\n {\n \"14904\": \"When did she become Prime Minister?\"\n },\n {\n \"14905\": \"And when did her term end?\"\n },\n {\n \"14906\": \"What were her policies known as?\"\n },\n {\n \"14907\": \"What was one of her professions before politics?\"\n },\n {\n \"14908\": \"And another?\"\n },\n {\n \"14909\": \"What was her first political position?\"\n },\n {\n \"14910\": \"Was she a a baroness?\"\n },\n {\n \"14911\": \"Who appointed her Secretary of State fo Education and Science?\"\n },\n {\n \"14912\": \"And what did she do to him?\"\n },\n {\n \"14913\": \"What was the emphasis of her political philosophy?\"\n },\n {\n \"14914\": \"Which sector principally did she want to deregulate?\"\n },\n {\n \"14915\": \"Did anyone ever try to assassinate her?\"\n },\n {\n \"14916\": \"When?\"\n },\n {\n \"14917\": \"What features of her first years caused her popularity to wane?\"\n },\n {\n \"14918\": \"What caused it to resurge?\"\n },\n {\n \"14919\": \"What happened in 1983?\"\n },\n {\n \"14920\": \"Decisively?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14901\",\n \"answer\": \"Iron Lady\"\n },\n {\n \"question_id\": \"14902\",\n \"answer\": \"A Soviet journalist\"\n },\n {\n \"question_id\": \"14903\",\n \"answer\": \"Conservative\"\n },\n {\n \"question_id\": \"14904\",\n \"answer\": \"1979\"\n },\n {\n \"question_id\": \"14905\",\n \"answer\": \"1990\"\n },\n {\n \"question_id\": \"14906\",\n \"answer\": \"Thatcherism\"\n },\n {\n \"question_id\": \"14907\",\n \"answer\": \"research chemist\"\n },\n {\n \"question_id\": \"14908\",\n \"answer\": \"barrister\"\n },\n {\n \"question_id\": \"14909\",\n \"answer\": \"Member of Parliament\"\n },\n {\n \"question_id\": \"14910\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14911\",\n \"answer\": \"Edward Heath\"\n },\n {\n \"question_id\": \"14912\",\n \"answer\": \"defeated him in the Conservative Party leadership electio\"\n },\n {\n \"question_id\": \"14913\",\n \"answer\": \"deregulation flexible labour markets, the privatisation of state-owned companies, and reducing the power and influence of trade unions.\"\n },\n {\n \"question_id\": \"14914\",\n \"answer\": \"financial sector\"\n },\n {\n \"question_id\": \"14915\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14916\",\n \"answer\": \"1984\"\n },\n {\n \"question_id\": \"14917\",\n \"answer\": \"recession and increasing unemployment,\"\n },\n {\n \"question_id\": \"14918\",\n \"answer\": \"victory in the 1982 Falklands War\"\n },\n {\n \"question_id\": \"14919\",\n \"answer\": \"she was re-elected\"\n },\n {\n \"question_id\": \"14920\",\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 The Korean War (in South Korean Hangul: 한국전쟁, Hanja: 韓國戰爭, Hanguk Jeonjaeng, \"Korean War\"; in North Korean Chosungul: 조국해방전쟁, Joguk Haebang Jeonjaeng, \"Fatherland Liberation War\"; 25 June 1950 – 27 July 1953)[a] was started when North Korea invaded South Korea. The United Nations, with United States as the principal force, came to aid of South Korea. China, along with assistance from Soviet Union, came to aid of North Korea. The war arose from the division of Korea at the end of World War II and from the global tensions of the Cold War that developed immediately afterwards. \n\nKorea was ruled by Japan from 1910 until the closing days of World War II. In August 1945, the Soviet Union declared war on Japan and—by agreement with the United States—occupied Korea north of the 38th parallel. U.S. forces subsequently occupied the south and Japan surrendered. By 1948, two separate governments had been set up. Both governments claimed to be the legitimate government of Korea, and neither side accepted the border as permanent. The conflict escalated into open warfare when North Korean forces—supported by the Soviet Union and China—invaded South Korea on 25 June 1950. On that day, the United Nations Security Council recognized this North Korean act as invasion and called for an immediate ceasefire. On 27 June, the Security Council adopted S/RES/83: Complaint of aggression upon the Republic of Korea and decided the formation and dispatch of the UN Forces in Korea. Twenty-one countries of the United Nations eventually contributed to the defense of South Korea, with the United States providing 88% of the UN's military personnel.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55772\": \"who came to the aid of South Korea?\"\n },\n {\n \"55773\": \"who was the principal force?\"\n },\n {\n \"55774\": \"who ruled Korea in 1910\"\n },\n {\n \"55775\": \"what line divides korea?\"\n },\n {\n \"55776\": \"when did the Korean war start?\"\n },\n {\n \"55777\": \"how man governments did Korea have in 1948?\"\n },\n {\n \"55778\": \"which one claimed to be the legitimate government?\"\n },\n {\n \"55779\": \"what name do they call the war in North Korea?\"\n },\n {\n \"55780\": \"who invaded first?\"\n },\n {\n \"55781\": \"how many countries helped South Korea?\"\n },\n {\n \"55782\": \"did the U.N. call for a ceasefire?\"\n },\n {\n \"55783\": \"how soon did they want it?\"\n },\n {\n \"55784\": \"what percent of the personnel were from the U.S.?\"\n },\n {\n \"55785\": \"who declared war on Japan?\"\n },\n {\n \"55786\": \"did Japan surrender?\"\n },\n {\n \"55787\": \"was Korea unified or divided at the end of world war II\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55772\",\n \"answer\": \"The United Nations\"\n },\n {\n \"question_id\": \"55773\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"55774\",\n \"answer\": \"Japan\"\n },\n {\n \"question_id\": \"55775\",\n \"answer\": \"38th paralle\"\n },\n {\n \"question_id\": \"55776\",\n \"answer\": \"25 June 1950\"\n },\n {\n \"question_id\": \"55777\",\n \"answer\": \", two separate governments\"\n },\n {\n \"question_id\": \"55778\",\n \"answer\": \"Both governments\"\n },\n {\n \"question_id\": \"55779\",\n \"answer\": \"Fatherland Liberation War\"\n },\n {\n \"question_id\": \"55780\",\n \"answer\": \"North Korean forces\"\n },\n {\n \"question_id\": \"55781\",\n \"answer\": \"Twenty-one countries\"\n },\n {\n \"question_id\": \"55782\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"55783\",\n \"answer\": \"immediate\"\n },\n {\n \"question_id\": \"55784\",\n \"answer\": \"88%\"\n },\n {\n \"question_id\": \"55785\",\n \"answer\": \"Soviet Union\"\n },\n {\n \"question_id\": \"55786\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"55787\",\n \"answer\": \"Divided\"\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) -- North Korea twice came back from behind to hold Greece 2-2 in a friendly between two sides heading to the World Cup next month, while fellow finalists Paraguay lost 2-1 to the Republic of Ireland. \n\nIn a match played at a neutral venue in Altach, Austria, Costas Katsouranis gave Greece the lead in the second minute with a close-range finish. \n\nThe Koreans leveled when Jong Tae-se beat two players and fired a shot past goalkeeper Michalis Sifakis. \n\nAngelos Charisteas came off the bench to put the Greeks 2-1 in front shortly after half-time but, three minutes later, Jong raced down the right flank, cut inside and slammed home his second. \n\nGreece substitute goalkeeper Alexandros Tzorvas had to be at his sharpest to keep out a powerful shot from Cha Jong-hyok that could have won the game for the Asian side. \n\nIn Dublin, first-half goals from Kevin Doyle and Liam Lawrence helped Ireland to victory over the South Americans. \n\nWolves striker Doyle bundled the opener after Paraguay forward Roque Santa Cruz had headed against his own bar. \n\nLawrence smashed home the second in the 39th minute following a chest down from Doyle. \n\nLucas Barrios pulled a goal back on his Paraguay debut but Giovanni Trapattoni's men held on for victory. \n\nThe Paraguayans are in the same group as defending champions Italy, New Zealand and Slovakia at the World Cup. \n\nElsewhere, there were disappointing results for two of the African qualifiers as Cameroon drew 0-0 with Georgia and Nigeria tied 0-0 with Saudi Arabia. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27660\": \"Who did North Korea play?\"\n },\n {\n \"27661\": \"Did North Korea win?\"\n },\n {\n \"27662\": \"Was North Korea ahead in the match?\"\n },\n {\n \"27663\": \"What was the score?\"\n },\n {\n \"27664\": \"Where did they play?\"\n },\n {\n \"27665\": \"Who was the Greek goaltender?\"\n },\n {\n \"27666\": \"Did Jong Tae-se score a goal?\"\n },\n {\n \"27667\": \"How many?\"\n },\n {\n \"27668\": \"Who scored Greece's first goal?\"\n },\n {\n \"27669\": \"How many minutes in?\"\n },\n {\n \"27670\": \"Did he score both their goals?\"\n },\n {\n \"27671\": \"Who got the other one?\"\n },\n {\n \"27672\": \"Who did the Republic of Ireland play?\"\n },\n {\n \"27673\": \"Who won?\"\n },\n {\n \"27674\": \"Was it a blow out?\"\n },\n {\n \"27675\": \"How many goals did Ireland score?\"\n },\n {\n \"27676\": \"When did both goals happen?\"\n },\n {\n \"27677\": \"Where was that match played?\"\n },\n {\n \"27678\": \"What big tournament is next month?\"\n },\n {\n \"27679\": \"Who is in the same group with Paraguay?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27660\",\n \"answer\": \"Greece\"\n },\n {\n \"question_id\": \"27661\",\n \"answer\": \"They tied\"\n },\n {\n \"question_id\": \"27662\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"27663\",\n \"answer\": \"2-2\"\n },\n {\n \"question_id\": \"27664\",\n \"answer\": \"Altach, Austria\"\n },\n {\n \"question_id\": \"27665\",\n \"answer\": \"Michalis Sifakis\"\n },\n {\n \"question_id\": \"27666\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27667\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"27668\",\n \"answer\": \"Costas Katsouranis\"\n },\n {\n \"question_id\": \"27669\",\n \"answer\": \"minute 2\"\n },\n {\n \"question_id\": \"27670\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"27671\",\n \"answer\": \"Angelos Charisteas\"\n },\n {\n \"question_id\": \"27672\",\n \"answer\": \"Paraguay\"\n },\n {\n \"question_id\": \"27673\",\n \"answer\": \"Ireland\"\n },\n {\n \"question_id\": \"27674\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"27675\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"27676\",\n \"answer\": \"first-half\"\n },\n {\n \"question_id\": \"27677\",\n \"answer\": \"Ireland\"\n },\n {\n \"question_id\": \"27678\",\n \"answer\": \"World Cup\"\n },\n {\n \"question_id\": \"27679\",\n \"answer\": \"Italy, New Zealand, Slovakia\"\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 There are stories about two US Presidents,Andrew Jackson and Martin Van Buren,which attempt to explain the American English term OK. We don't know if either story is true,but they are both interesting. \n\nThe first explanation is based on the fact that President Jackson had very little education. In fact,he had difficulty reading and writing. When important papers came to Jackson,he tried to read them and then had his assistants explain what they said. If he approved of a paper, he would write \"all correct\" on it. The problem was that he didn't know how to spell. So what he really wrote was \"ol korekt\". After a while,he shortened that term to \"OK\". \n\nThe second explanation is based on the place where President Van Buren was born,Kinderhook,New York. Van Buren's friends organized a club to help him become president. They called the club the Old Kinderhook Club,and anyone who supported Van Buren was called \"OK\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94833\": \"What two men are mentioned in this story?\"\n },\n {\n \"94834\": \"What degree did Jackson earn?\"\n },\n {\n \"94835\": \"How many theories are explained here?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"94833\",\n \"answer\": \"US Presidents\"\n },\n {\n \"question_id\": \"94834\",\n \"answer\": \"None, President Jackson had very little education\"\n },\n {\n \"question_id\": \"94835\",\n \"answer\": \"Two\"\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 International Futures (IFs) is a global integrated assessment model designed to help in thinking strategically and systematically about key global systems (economic, demographic, education, health, environment, technology, domestic governance, infrastructure, agriculture, energy and environment) housed at the Frederick S. Pardee Center for International Futures. Initially created by Barry B. Hughes of the Josef Korbel School of International Studies at the University of Denver in Colorado, the model is free for public use in both its online and downloadable forms. \n\nThe Pardee Center for International Futures has partnered with many organizations to produce forecasts and data analysis. IFs has been utilized in the National Intelligence Council's \"Global Trends 2020\", \"Global Trends 2025\", and \"Global Trends 2030\" report. The International Futures model has also contributed to the United Nations \"Human Development Report\" and the \"Global Environmental Outlook\". \n\nIFs is hosted free for public use by Google Public Data Explorer, the Atlantic Council, and the Institute for Security Studies. \n\nThe model incorporates dynamically linked sub-models. They include: population, economic, agricultural, educational, energy, socio-political, international political, environmental, health, infrastructure and technology. IFs is a unique modeling tool because it endogenizes the impact of such a wide range of global systems for 183 countries. \n\nThe help system that accompanies the software provides an extensive overview of the model structure and computer code used to write the model. IFs has three main functions, all connected to its conceptual treatment of integrated assessment forecasts: data analysis, scenario analysis, and display.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58320\": \"What does IFs stand for?\"\n },\n {\n \"58321\": \"Who was it created by?\"\n },\n {\n \"58322\": \"Where is it located?\"\n },\n {\n \"58323\": \"Where did the creator study at?\"\n },\n {\n \"58324\": \"What state is that in?\"\n },\n {\n \"58325\": \"What does it do?\"\n },\n {\n \"58326\": \"What has this research helped with?\"\n },\n {\n \"58327\": \"What else?\"\n },\n {\n \"58328\": \"What companies host for free?\"\n },\n {\n \"58329\": \"Who else?\"\n },\n {\n \"58330\": \"And?\"\n },\n {\n \"58331\": \"What are some sub sections of the models?\"\n },\n {\n \"58332\": \"And?\"\n },\n {\n \"58333\": \"What is a main function of the IFs?\"\n },\n {\n \"58334\": \"Second one?\"\n },\n {\n \"58335\": \"And the last one?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58320\",\n \"answer\": \"International Futures\"\n },\n {\n \"question_id\": \"58321\",\n \"answer\": \"Barry B. Hughes\"\n },\n {\n \"question_id\": \"58322\",\n \"answer\": \"Frederick S. Pardee Center for International Futures\"\n },\n {\n \"question_id\": \"58323\",\n \"answer\": \"Josef Korbel School of International Studies at the University of Denver\"\n },\n {\n \"question_id\": \"58324\",\n \"answer\": \"Colorado\"\n },\n {\n \"question_id\": \"58325\",\n \"answer\": \"produce forecasts and data analysis\"\n },\n {\n \"question_id\": \"58326\",\n \"answer\": \"United Nations \\\"Human Development Report\\\"\"\n },\n {\n \"question_id\": \"58327\",\n \"answer\": \"\\\"Global Environmental Outlook\\\".\"\n },\n {\n \"question_id\": \"58328\",\n \"answer\": \"Google\"\n },\n {\n \"question_id\": \"58329\",\n \"answer\": \"the Atlantic Council\"\n },\n {\n \"question_id\": \"58330\",\n \"answer\": \"Institute for Security Studies.\"\n },\n {\n \"question_id\": \"58331\",\n \"answer\": \"population, economic, agricultural\"\n },\n {\n \"question_id\": \"58332\",\n \"answer\": \"educational, energy, socio-political, international political, environmental, health, infrastructure and technology.\"\n },\n {\n \"question_id\": \"58333\",\n \"answer\": \"data analysis\"\n },\n {\n \"question_id\": \"58334\",\n \"answer\": \"scenario analysis\"\n },\n {\n \"question_id\": \"58335\",\n \"answer\": \"display\"\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 TWELVE. \n\nTHE STORM--THE WRECK OF THE HOMEWARD BOUND--THE LIFEBOAT. \n\nA stern chase never was and never will be a short one. Old Coleman, in the course of quarter of a mile's run, felt that his powers were limited and wisely stopped short; Bax, Guy, and Tommy Bogey held on at full speed for upwards of two miles along the beach, following the road which wound along the base of the chalk cliffs, and keeping the fugitive well in view. \n\nBut Long Orrick was, as we have seen, a good runner. He kept his ground until he reached a small hamlet named Kingsdown, lying about two and a half miles to the north of Saint Margaret's Bay. Here he turned suddenly to the left, quitted the beach, and made for the interior, where he was soon lost sight of, and left his disappointed pursuers to grumble at their bad fortune and wipe their heated brows. \n\nThe strength of the gale had now increased to such an extent that it became a matter not only of difficulty but of danger to pass along the shore beneath the cliffs. The spray was hurled against them with great violence, and as the tide rose the larger waves washed up with a magnificent and overwhelming sweep almost to their base. In these circumstances Guy proposed to go back to Saint Margaret's Bay by the inland road. \n\n\"It's a bit longer,\" said he, as they stood under the lee of a wall, panting from the effects of their run, \"but we shall be sheltered from the gale; besides, I doubt if we could pass under the cliffs now.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5251\": \"Which chapter is this?\"\n },\n {\n \"5252\": \"Who is first introduced?\"\n },\n {\n \"5253\": \"Were his powers unlimited?\"\n },\n {\n \"5254\": \"What did he do then?\"\n },\n {\n \"5255\": \"During what?\"\n },\n {\n \"5256\": \"Did anyone keep going?\"\n },\n {\n \"5257\": \"Who?\"\n },\n {\n \"5258\": \"Slowly?\"\n },\n {\n \"5259\": \"Where?\"\n },\n {\n \"5260\": \"What were they looking at?\"\n },\n {\n \"5261\": \"Where did he finally arrive?\"\n },\n {\n \"5262\": \"What did he do then?\"\n },\n {\n \"5263\": \"Could anyone see him?\"\n },\n {\n \"5264\": \"What was happening around the chase?\"\n },\n {\n \"5265\": \"Was this safe?\"\n },\n {\n \"5266\": \"What was hitting them?\"\n },\n {\n \"5267\": \"Who suggested something?\"\n },\n {\n \"5268\": \"Was that shorter?\"\n },\n {\n \"5269\": \"Was he winded?\"\n },\n {\n \"5270\": \"Would they be exposed still?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5251\",\n \"answer\": \"Twelve\"\n },\n {\n \"question_id\": \"5252\",\n \"answer\": \". Old Coleman\"\n },\n {\n \"question_id\": \"5253\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5254\",\n \"answer\": \"stopped short\"\n },\n {\n \"question_id\": \"5255\",\n \"answer\": \"quarter of a mile's run,\"\n },\n {\n \"question_id\": \"5256\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5257\",\n \"answer\": \"Bax, Guy, and Tommy Bogey\"\n },\n {\n \"question_id\": \"5258\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5259\",\n \"answer\": \"Bax, Guy, and Tommy Bogey held on at full speed for upwards of two miles along the beach,\"\n },\n {\n \"question_id\": \"5260\",\n \"answer\": \"the fugitive\"\n },\n {\n \"question_id\": \"5261\",\n \"answer\": \"Kingsdown,\"\n },\n {\n \"question_id\": \"5262\",\n \"answer\": \"turned suddenly to the left\"\n },\n {\n \"question_id\": \"5263\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5264\",\n \"answer\": \"a gale\"\n },\n {\n \"question_id\": \"5265\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5266\",\n \"answer\": \"spray\"\n },\n {\n \"question_id\": \"5267\",\n \"answer\": \"Guy proposed to go back to Saint Margaret's Bay by the inland road.\"\n },\n {\n \"question_id\": \"5268\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5269\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5270\",\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 Many early 19th-century neoclassical architects were influenced by the drawings and projects of Étienne-Louis Boullée and Claude Nicolas Ledoux. The many graphite drawings of Boullée and his students depict spare geometrical architecture that emulates the eternality of the universe. There are links between Boullée's ideas and Edmund Burke's conception of the sublime. Ledoux addressed the concept of architectural character, maintaining that a building should immediately communicate its function to the viewer: taken literally such ideas give rise to \"architecture parlante\". \n\nThe baroque style had never truly been to the English taste. Four influential books were published in the first quarter of the 18th century which highlighted the simplicity and purity of classical architecture: Vitruvius Britannicus (Colen Campbell 1715), Palladio's Four Books of Architecture (1715), De Re Aedificatoria (1726) and The Designs of Inigo Jones... with Some Additional Designs (1727). The most popular was the four-volume Vitruvius Britannicus by Colen Campbell. The book contained architectural prints of famous British buildings that had been inspired by the great architects from Vitruvius to Palladio. At first the book mainly featured the work of Inigo Jones, but the later tomes contained drawings and plans by Campbell and other 18th-century architects. Palladian architecture became well established in 18th-century Britain.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98141\": \"What didn't the English like?\"\n },\n {\n \"98142\": \"Who influenced their architecture?\"\n },\n {\n \"98143\": \"What was written about British architecture?\"\n },\n {\n \"98144\": \"Who wrote that?\"\n },\n {\n \"98145\": \"When?\"\n },\n {\n \"98146\": \"Was it popular?\"\n },\n {\n \"98147\": \"It mostly contained whose architecture?\"\n },\n {\n \"98148\": \"How many architects gave ideas to the 1800s?\"\n },\n {\n \"98149\": \"What type did they influence?\"\n },\n {\n \"98150\": \"Whose thoughts are compared to Edmund Burke's?\"\n },\n {\n \"98151\": \"What idea are they compared to?\"\n },\n {\n \"98152\": \"What did he use to draw?\"\n },\n {\n \"98153\": \"Did he think the world would end?\"\n },\n {\n \"98154\": \"What did the other architect think?\"\n },\n {\n \"98155\": \"How quickly should it?\"\n },\n {\n \"98156\": \"What is a term for that?\"\n },\n {\n \"98157\": \"How many important books were written about English architecture?\"\n },\n {\n \"98158\": \"When?\"\n },\n {\n \"98159\": \"Which one was last?\"\n },\n {\n \"98160\": \"What style of architecture became popular in England?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98141\",\n \"answer\": \"baroque style\"\n },\n {\n \"question_id\": \"98142\",\n \"answer\": \"by \\u00c9tienne-Louis Boull\\u00e9e and Claude Nicolas Ledoux.\"\n },\n {\n \"question_id\": \"98143\",\n \"answer\": \"Vitruvius Britannicus\"\n },\n {\n \"question_id\": \"98144\",\n \"answer\": \"Colen Campbell\"\n },\n {\n \"question_id\": \"98145\",\n \"answer\": \"in 1715\"\n },\n {\n \"question_id\": \"98146\",\n \"answer\": \"it was most popular\"\n },\n {\n \"question_id\": \"98147\",\n \"answer\": \"Vitruvius\"\n },\n {\n \"question_id\": \"98148\",\n \"answer\": \"possibly two\"\n },\n {\n \"question_id\": \"98149\",\n \"answer\": \"neoclassical architects\"\n },\n {\n \"question_id\": \"98150\",\n \"answer\": \"Boull\\u00e9e's\"\n },\n {\n \"question_id\": \"98151\",\n \"answer\": \"conception of the sublime\"\n },\n {\n \"question_id\": \"98152\",\n \"answer\": \"spare geometrical architecture\"\n },\n {\n \"question_id\": \"98153\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98154\",\n \"answer\": \"that a building communicates its function\"\n },\n {\n \"question_id\": \"98155\",\n \"answer\": \"immediately\"\n },\n {\n \"question_id\": \"98156\",\n \"answer\": \"\\\"architecture parlante\\\"\"\n },\n {\n \"question_id\": \"98157\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"98158\",\n \"answer\": \"the 18th century\"\n },\n {\n \"question_id\": \"98159\",\n \"answer\": \"The Designs of Inigo Jones\"\n },\n {\n \"question_id\": \"98160\",\n \"answer\": \"Palladian architecture\"\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\nCORIOLANUS AND CINCINNATUS. \n\nB.C. 458. \n\nAll the time these struggles were going on between the patricians and the plebeians at home, there were wars with the neighboring tribes, the Volscians, the Veians, the Latins, and the Etruscans. Every spring the fighting men went out, attacked their neighbors, drove off their cattle, and tried to take some town; then fought a battle, and went home to reap the harvest, gather the grapes and olives in the autumn, and attend to public business and vote for the magistrates in the winter. They were small wars, but famous men fought in them. In a war against the Volscians, when Cominius was consul, he was besieging a city called Corioli, when news came that the men of Antium were marching against him, and in their first attack on the walls the Romans were beaten off, but a gallant young patrician, descended from the king Ancus Marcius, Caius Marcius by name, rallied them and led them back with such spirit that the place was taken before the hostile army came up; then he fought among the foremost and gained the victory. When he was brought to the consul's tent covered with wounds, Cominius did all he could to show his gratitude--set on the young man's head the crown of victory, gave him the surname of Coriolanus in honor of his exploits, and granted him the tenth part of the spoil of ten prisoners. Of them, however, Coriolanus only accepted one, an old friend of the family, whom he set at liberty at once. Afterwards, when there was a great famine in Rome, Coriolanus led an expedition to Antium, and brought away quantities of corn and cattle, which he distributed freely, keeping none for himself. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38344\": \"Who was consul during the war with the Volscians?\"\n },\n {\n \"38345\": \"Who was he besieging?\"\n },\n {\n \"38346\": \"Called what?\"\n },\n {\n \"38347\": \"What did he find out?\"\n },\n {\n \"38348\": \"Who was fought off?\"\n },\n {\n \"38349\": \"Who was a descendant of Ancus Marcius?\"\n },\n {\n \"38350\": \"Who won?\"\n },\n {\n \"38351\": \"What year was this?\"\n },\n {\n \"38352\": \"A.C.?\"\n },\n {\n \"38353\": \"B.C.?\"\n },\n {\n \"38354\": \"What were the 2 groups fighting at home?\"\n },\n {\n \"38355\": \"What other conflict were there?\"\n },\n {\n \"38356\": \"Which ones?\"\n },\n {\n \"38357\": \"What else?\"\n },\n {\n \"38358\": \"Any others?\"\n },\n {\n \"38359\": \"Who else?\"\n },\n {\n \"38360\": \"What kind of things were harvested?\"\n },\n {\n \"38361\": \"What else did the men do at home?\"\n },\n {\n \"38362\": \"Anything else?\"\n },\n {\n \"38363\": \"What time of year did they fight?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38344\",\n \"answer\": \"Cominius was\"\n },\n {\n \"question_id\": \"38345\",\n \"answer\": \"a city\"\n },\n {\n \"question_id\": \"38346\",\n \"answer\": \"Corioli\"\n },\n {\n \"question_id\": \"38347\",\n \"answer\": \"the men of Antium were marching against him\"\n },\n {\n \"question_id\": \"38348\",\n \"answer\": \"the Romans\"\n },\n {\n \"question_id\": \"38349\",\n \"answer\": \"Caius Marcius\"\n },\n {\n \"question_id\": \"38350\",\n \"answer\": \"Coriolanus\"\n },\n {\n \"question_id\": \"38351\",\n \"answer\": \"458\"\n },\n {\n \"question_id\": \"38352\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38353\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"38354\",\n \"answer\": \"the patricians and the plebeians\"\n },\n {\n \"question_id\": \"38355\",\n \"answer\": \"wars with the neighboring tribes\"\n },\n {\n \"question_id\": \"38356\",\n \"answer\": \"the Volscians\"\n },\n {\n \"question_id\": \"38357\",\n \"answer\": \"the Veians\"\n },\n {\n \"question_id\": \"38358\",\n \"answer\": \"the Latins\"\n },\n {\n \"question_id\": \"38359\",\n \"answer\": \"the Etruscans\"\n },\n {\n \"question_id\": \"38360\",\n \"answer\": \"grapes and olives\"\n },\n {\n \"question_id\": \"38361\",\n \"answer\": \"attend to public business\"\n },\n {\n \"question_id\": \"38362\",\n \"answer\": \"vote for the magistrates\"\n },\n {\n \"question_id\": \"38363\",\n \"answer\": \"Every spring\"\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 There was once a little boy named Jacob, who owned a dog named Pet. One day, Jacob was taking Pet outside to play. He picked up her favorite toy frog. When he did, he hit his elbow on the table. Ouch! He rubbed his elbow and frowned. Then he put his shoes on his feet, washed his hands, put on a jacket. \n\nJacob felt better, and went to open the door to the back yard. He walked outside. Once he got outside, he felt the cool breeze and the warm sun. They made him feel sleepy. He thought he would take a nap outside on the deck. He pushed two chairs together to make a bed. He climbed up and lay down. He used Pet's toy frog as a pillow. He lay his head on it. Pet curled up next to the chairs to take a nap too. \n\nWhile Jacob and Pet slept, a bumblebee came flying by. It made a sleepy humming noise, and thought that the deck looked like a nice place to take a nap. A robin who had been following the bumblebee stopped too. The robin and the bee snuggled up together on the picnic table. \n\nJacob's mother looked out the window and saw Jacob, Pet, the bumblebee, and the robin all sleeping. \"What a peaceful group,\" she thought. And then she yawned and said, \"Now I am feeling sleepy too!\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67177\": \"What was the boy's name?\"\n },\n {\n \"67178\": \"And what'd he have?\"\n },\n {\n \"67179\": \"And what was its name?\"\n },\n {\n \"67180\": \"What was Jacob doing?\"\n },\n {\n \"67181\": \"Where?\"\n },\n {\n \"67182\": \"And what'd he do?\"\n },\n {\n \"67183\": \"And what'd he do while doing that?\"\n },\n {\n \"67184\": \"Which caused him to do what?\"\n },\n {\n \"67185\": \"And what else?\"\n },\n {\n \"67186\": \"Then what'd he do?\"\n },\n {\n \"67187\": \"And then?\"\n },\n {\n \"67188\": \"And finally?\"\n },\n {\n \"67189\": \"Did Jacob feel okay?\"\n },\n {\n \"67190\": \"Where'd he go?\"\n },\n {\n \"67191\": \"And what'd he feel there?\"\n },\n {\n \"67192\": \"And how'd that make him feel?\"\n },\n {\n \"67193\": \"So what'd he want to do?\"\n },\n {\n \"67194\": \"Where?\"\n },\n {\n \"67195\": \"How many chairs did he use?\"\n },\n {\n \"67196\": \"Did he use a pillow?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67177\",\n \"answer\": \"Jacob\"\n },\n {\n \"question_id\": \"67178\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"67179\",\n \"answer\": \"Pet\"\n },\n {\n \"question_id\": \"67180\",\n \"answer\": \"taking Pet to play\"\n },\n {\n \"question_id\": \"67181\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"67182\",\n \"answer\": \"He picked up her favorite toy frog\"\n },\n {\n \"question_id\": \"67183\",\n \"answer\": \"he hit his elbow on the table\"\n },\n {\n \"question_id\": \"67184\",\n \"answer\": \"rub his elbow\"\n },\n {\n \"question_id\": \"67185\",\n \"answer\": \"frown\"\n },\n {\n \"question_id\": \"67186\",\n \"answer\": \"put his shoes on his feet\"\n },\n {\n \"question_id\": \"67187\",\n \"answer\": \"washed his hands\"\n },\n {\n \"question_id\": \"67188\",\n \"answer\": \"put on a jacket.\"\n },\n {\n \"question_id\": \"67189\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"67190\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"67191\",\n \"answer\": \"the cool breeze and the warm sun.\"\n },\n {\n \"question_id\": \"67192\",\n \"answer\": \"sleepy\"\n },\n {\n \"question_id\": \"67193\",\n \"answer\": \"nap\"\n },\n {\n \"question_id\": \"67194\",\n \"answer\": \"outside on the deck\"\n },\n {\n \"question_id\": \"67195\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"67196\",\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 A little boy named Joey did not like to brush his teeth. One day, as his mother asked him to brush his teeth, Joey said, \"I don't want to! It's gross and a waste of time!\" In response, Joey's mom told him that in order for him to grow up and be big and strong like she is, he must brush his teeth. In disgust, with his mom watching to make sure he brushed his teeth right, he brushed his teeth and whined until he was finished. The next day, Joey did not brush his teeth and told his mom that he did. After going to school, one of Joey's friends said that his breath stunk and began to make fun of him. This made Joey very angry, so he pushed the boy over and started to cry. A teacher came over and called the principal as both kids were being loud and starting a fight. Joey's mom came to school and took him home. After asking what was wrong, Joey told his mom that he didn't brush his teeth. After hearing this, his mom marched him up to the bathroom and forced him to brush his teeth. \"You won't get teased if you brush your teeth, Joey!\" she yelled, and then left the room. From that day forward, Joey brushed his teeth every day so the other kids wouldn't make fun of him.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37322\": \"What did Joey say when his mom asked him to brush his teeth?\"\n },\n {\n \"37323\": \"Why did Joey's friend make fun of him the next day?\"\n },\n {\n \"37324\": \"and so what did he do to after he was laughed at?\"\n },\n {\n \"37325\": \"What did his teacher do when she saw this?\"\n },\n {\n \"37326\": \"What did Joey's mom do when she picked him up?\"\n },\n {\n \"37327\": \"and then what did she make him do?\"\n },\n {\n \"37328\": \"And did he always brush his teeth after that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37322\",\n \"answer\": \"he didn't want to\"\n },\n {\n \"question_id\": \"37323\",\n \"answer\": \"his breath stunk\"\n },\n {\n \"question_id\": \"37324\",\n \"answer\": \"he pushed him and then cried\"\n },\n {\n \"question_id\": \"37325\",\n \"answer\": \"called the principal\"\n },\n {\n \"question_id\": \"37326\",\n \"answer\": \"took him home and asked what was wrong\"\n },\n {\n \"question_id\": \"37327\",\n \"answer\": \"forced him to brush his teeth\"\n },\n {\n \"question_id\": \"37328\",\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 19 Brown and I Exchange Compliments \n\nTwo trips later, I got into serious trouble. Brown was steering; I was 'pulling down.' My younger brother appeared on the hurricane deck, and shouted to Brown to stop at some landing or other a mile or so below. Brown gave no intimation that he had heard anything. But that was his way: he never condescended to take notice of an under clerk. The wind was blowing; Brown was deaf (although he always pretended he wasn't), and I very much doubted if he had heard the order. If I had two heads, I would have spoken; but as I had only one, it seemed judicious to take care of it; so I kept still. \n\nPresently, sure enough, we went sailing by that plantation. Captain Klinefelter appeared on the deck, and said-- \n\n'Let her come around, sir, let her come around. Didn't Henry tell you to land here?' \n\n'NO, sir!' \n\n'I sent him up to do, it.' \n\n'He did come up; and that's all the good it done, the dod-derned fool. He never said anything.' \n\n'Didn't YOU hear him?' asked the captain of me. \n\nOf course I didn't want to be mixed up in this business, but there was no way to avoid it; so I said-- \n\n'Yes, sir.' \n\nI knew what Brown's next remark would be, before he uttered it; it was-- \n\n'Shut your mouth! you never heard anything of the kind.' \n\nI closed my mouth according to instructions. An hour later, Henry entered the pilot-house, unaware of what had been going on. He was a thoroughly inoffensive boy, and I was sorry to see him come, for I knew Brown would have no pity on him. Brown began, straightway-- \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45392\": \"When did the subject get into trouble?\"\n },\n {\n \"45393\": \"What was Brown doing?\"\n },\n {\n \"45394\": \"Who was shouting?\"\n },\n {\n \"45395\": \"Where was the younger brother?\"\n },\n {\n \"45396\": \"How much farther did he want Brown to go?\"\n },\n {\n \"45397\": \"Did Brown answer back?\"\n },\n {\n \"45398\": \"Why not?\"\n },\n {\n \"45399\": \"What was the younger brother in relation to Brown?\"\n },\n {\n \"45400\": \"Why else might Brown have not answered?\"\n },\n {\n \"45401\": \"Was he open about this?\"\n },\n {\n \"45402\": \"Were there calm winds that day?\"\n },\n {\n \"45403\": \"Why did the subject not speak up?\"\n },\n {\n \"45404\": \"Who else arrived?\"\n },\n {\n \"45405\": \"Did he ask a question?\"\n },\n {\n \"45406\": \"What was it?\"\n },\n {\n \"45407\": \"And did he?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45392\",\n \"answer\": \"Two trips later\"\n },\n {\n \"question_id\": \"45393\",\n \"answer\": \"steering\"\n },\n {\n \"question_id\": \"45394\",\n \"answer\": \"the narrator's younger brother\"\n },\n {\n \"question_id\": \"45395\",\n \"answer\": \"on the hurricane deck\"\n },\n {\n \"question_id\": \"45396\",\n \"answer\": \"a mile or so\"\n },\n {\n \"question_id\": \"45397\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45398\",\n \"answer\": \"It was his way\"\n },\n {\n \"question_id\": \"45399\",\n \"answer\": \"an under clerk\"\n },\n {\n \"question_id\": \"45400\",\n \"answer\": \"because he's also deaf\"\n },\n {\n \"question_id\": \"45401\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45402\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45403\",\n \"answer\": \"He only has one head\"\n },\n {\n \"question_id\": \"45404\",\n \"answer\": \"Captain Klinefelter\"\n },\n {\n \"question_id\": \"45405\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45406\",\n \"answer\": \"\\\"Didn't Henry tell you to land here?'\"\n },\n {\n \"question_id\": \"45407\",\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 There was a beautiful butterfly that was flying around in a park. It was the only one in there. It was pink. It was very pretty. A small boy saw it and wanted to put it in his pocket. He had a naughty look on his face. First he walked slowly to where the butterfly was. The butterfly had been sitting by a flower. When it saw the boy nearby, it started to fly away. The boy quickly started to chase it. He laughed as he ran. It was a game for him. The butterfly was scared. It flew very fast and very high in the air. The boy jumped up. The butterfly would not stay still. He jumped as far up as he could. He tried many, many times but he could not reach the butterfly. The butterfly flew away. The boy could not catch the butterfly. He left the park with a sad look on his face. He wanted to cry but did not.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68243\": \"How many butterflies were in the park?\"\n },\n {\n \"68244\": \"What color was the butterfly?\"\n },\n {\n \"68245\": \"Why did it become fearful?\"\n },\n {\n \"68246\": \"Why was he chasing it?\"\n },\n {\n \"68247\": \"What did he do initially?\"\n },\n {\n \"68248\": \"How did he feel at first?\"\n },\n {\n \"68249\": \"How did he try to get it?\"\n },\n {\n \"68250\": \"Did he succeed?\"\n },\n {\n \"68251\": \"How did he feel then?\"\n },\n {\n \"68252\": \"What had the butterfly been doing before the chase?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"68243\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"68244\",\n \"answer\": \"pink\"\n },\n {\n \"question_id\": \"68245\",\n \"answer\": \"the boy chased it\"\n },\n {\n \"question_id\": \"68246\",\n \"answer\": \"it started to fly away\"\n },\n {\n \"question_id\": \"68247\",\n \"answer\": \"he walked slowly\"\n },\n {\n \"question_id\": \"68248\",\n \"answer\": \"He laughed\"\n },\n {\n \"question_id\": \"68249\",\n \"answer\": \"he jumped\"\n },\n {\n \"question_id\": \"68250\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"68251\",\n \"answer\": \"sad\"\n },\n {\n \"question_id\": \"68252\",\n \"answer\": \"sitting by a flower\"\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 pet parrot that spoke with a British accent when it disappeared from its home four years ago has been reunited with its owner ---- and the bird now speaks Spanish. The reunion was brought about by Teresa Micco, a Southern California veterinarian who mistook Nigel, an African gray parrot, for her own missing bird, the Daily Breeze reported on Sunday. Teresa Micco tracked Nigel's microchip to Darren Chick, a British man who lives in Torrance, California. \"I introduced myself and said, 'Have you lost a bird?' \"Micco told the newspaper. \"He first said, 'No' But he thought I meant recently \" When she checked on Chick's name and said she had his African gray parrot, \"He looked at me like I was crazy. \" He said his bird had gone missing for four years earlier. Little is known about Nigel's whereabouts for the past four years, but Chick says the bird's British accent is gone, and it now chatters in Spanish. Chick says last week's reunion brought tears of joy to his eyes---despite the fact that Nigel bit him when he first tried to pick him up. Micco said the behaviour was not unusual and that Nigel would settle back in soon enough. \"He is doing very well,\" Chick told the newspaper. \"It is really strange. I knew it was him from the minute I saw him\" It is the fifth parrot reunion helped by Micco, who has been running advertisements for her own missing bird for nine months. That parrot, Benjamin, escaped in February when it flew out through a door that had been left open. Julissa Sperling found Nigel outside her home and brought him to Micco after seeing one of her advertisements. \"He was the happiest bird. He was singing and talking all the time,\" Sperling said. \"He was barking like my dogs. I am from Panama, and he was saying, 'What happened?' in Spanish.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5525\": \"What is the parrot's name?\"\n },\n {\n \"5526\": \"Does it speak Italian?\"\n },\n {\n \"5527\": \"How many parrots has Micco reunited with their owners?\"\n },\n {\n \"5528\": \"Who is Micco's parrot?\"\n },\n {\n \"5529\": \"Has it been missing since February?\"\n },\n {\n \"5530\": \"Who left the door open?\"\n },\n {\n \"5531\": \"What accent does Nigel have?\"\n },\n {\n \"5532\": \"Any others?\"\n },\n {\n \"5533\": \"Was Nigel missing for more or less time than Benjamin has been missing?\"\n },\n {\n \"5534\": \"Is it an African swallow?\"\n },\n {\n \"5535\": \"In what city does its owner live?\"\n },\n {\n \"5536\": \"What technology helped to locate the owner?\"\n },\n {\n \"5537\": \"Was he happy to get the bird back?\"\n },\n {\n \"5538\": \"How did Nigel react initially?\"\n },\n {\n \"5539\": \"Does that mean the bird doesn't like him anymore?\"\n },\n {\n \"5540\": \"Was the owner actively looking for his bird?\"\n },\n {\n \"5541\": \"Who found the bird?\"\n },\n {\n \"5542\": \"What animal was the bird mimicking?\"\n },\n {\n \"5543\": \"Was he speaking in French?\"\n },\n {\n \"5544\": \"What is Micco's occupation?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5525\",\n \"answer\": \"Nigel\"\n },\n {\n \"question_id\": \"5526\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5527\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"5528\",\n \"answer\": \"Benjamin\"\n },\n {\n \"question_id\": \"5529\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5530\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"5531\",\n \"answer\": \"Spanish\"\n },\n {\n \"question_id\": \"5532\",\n \"answer\": \"it had a British accent but it is gone now\"\n },\n {\n \"question_id\": \"5533\",\n \"answer\": \"more\"\n },\n {\n \"question_id\": \"5534\",\n \"answer\": \"now\"\n },\n {\n \"question_id\": \"5535\",\n \"answer\": \"Torrance, California.\"\n },\n {\n \"question_id\": \"5536\",\n \"answer\": \"microchip\"\n },\n {\n \"question_id\": \"5537\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5538\",\n \"answer\": \"Nigel bit him\"\n },\n {\n \"question_id\": \"5539\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5540\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"5541\",\n \"answer\": \"Julissa Sperling\"\n },\n {\n \"question_id\": \"5542\",\n \"answer\": \"dog\"\n },\n {\n \"question_id\": \"5543\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5544\",\n \"answer\": \"veterinarian\"\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) -- Here's what Katie Roche expected when she went into the hospital for spine surgery: two titanium rods, a bone graft, 17 screws in her vertebrae, eight hours in the operating room, and a week's stay in the hospital to recover. \n\nHere's what she didn't expect on top of all that: sharing a hospital room with a feverish 6-year-old and contracting a nasty bacterial infection her mother says nearly killed her. \n\n\"She got so weak she couldn't even get out of bed to go to the bathroom -- I had to carry her,\" says her mother, Kathleen Roche. \"For about 48 hours, I didn't think we'd have Katie with us much longer.\" \n\nBecause of the infection she picked up at the hospital, Katie, who was 19 at the time, dropped from 120 to 90 pounds. \n\nThe bacterium that made her so sick is called Clostridium difficile, and according to a study out this week, it's more common than ever among hospitalized children in the United States, and children who get it are more likely to die or require surgery. \n\nThe study found Clostridium difficile infections in hospitalized children went up 15% per year from 1997, when there were 3,565 infections, to 2006, when there were 7,779 infections. \n\nThe study looked at 10.5 million pediatric patients from 1997 to 2006, of whom 21,274, or 0.2%, had C. diff, as the bacteria are commonly called. The study was published this week in the Archives of Pediatric and Adolescent Medicine. \n\n\"This is huge, and really concerning,\" says Dr. Peter Pronovost, director of the Quality and Safety research group at Johns Hopkins University. What's really disturbing, he says, is that these children didn't have to get sick. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97297\": \"Who was undergoing a surgery?\"\n },\n {\n \"97298\": \"What surgery was she going to do?\"\n },\n {\n \"97299\": \"Who did she share her room with?\"\n },\n {\n \"97300\": \"What did she contract from him?\"\n },\n {\n \"97301\": \"How much weight did she lose?\"\n },\n {\n \"97302\": \"Did she become very weak?\"\n },\n {\n \"97303\": \"Did the mother think she wouldn't live longer?\"\n },\n {\n \"97304\": \"What was the bacteria's name?\"\n },\n {\n \"97305\": \"Children who get this are likely to die?\"\n },\n {\n \"97306\": \"Which doctor suggested that this infection is worrisome?\"\n },\n {\n \"97307\": \"From what university?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97297\",\n \"answer\": \"Katie Roche\"\n },\n {\n \"question_id\": \"97298\",\n \"answer\": \"spine surgery:\"\n },\n {\n \"question_id\": \"97299\",\n \"answer\": \"6-year-old\"\n },\n {\n \"question_id\": \"97300\",\n \"answer\": \"bacterial infection\"\n },\n {\n \"question_id\": \"97301\",\n \"answer\": \"30 pounds\"\n },\n {\n \"question_id\": \"97302\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97303\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97304\",\n \"answer\": \"Clostridium difficile\"\n },\n {\n \"question_id\": \"97305\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97306\",\n \"answer\": \"Dr. Peter Pronovos\"\n },\n {\n \"question_id\": \"97307\",\n \"answer\": \"Johns Hopkins\"\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 Charles Stratton was five, he stopped growing. His mother took him to see the famous showman, P.T.Barmum. Mr Barmum thought a small person would be the perfect addition to his show. He hired Charles' parents along with him, and they traveled the world together. \n\nHe gave the two-foot-tall Charles a name, General Tom Thumb. He taught Tom how to sing, dance, act, and tell jokes. When he felt Tom was ready to perform on stage, he made up ads. To stir up great interest, he said that Tom was eleven years old and had come from England. \n\nDuring the show, Tom fought battles pretendedly with tall people. He also danced upon a wooden plate held by a person who was eight feet tall. \n\nTom's act was very popular and brought in a lot of money. By the time Tom was an adult, he had grown very rich. He had become a billionaire at the age of twenty-five. \n\nFortunately for Tom, Mr. Barmum added more little people to his show, and Tom became lucky in love as well. One of the little people was Lavinia Warren, a school teacher. Tom was able to win her love, and they married. \n\nThe ceremony and reception were _ They were attended by many rich and famous people and by about two thousand guests. Crowds filled the streets ofprefix = st1 /New Yorkto have a look at their tiny wedding carriage. The couple even met with President Abraham Lincoln on their honeymoon just before going to live in Tom's house inConnecticut. \n\nTheir wedding, which took place during the Civil War, provided a welcome escape from the sad problems of war. Not willing to let this bit of sunshine fade , communities throughout the country sponsored \"Tom Thumb\"weddings. In these weddings, small boys and girls, all dressed up, went through marriage ceremonies for fun.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75989\": \"What was Charles Stratton's nickname?\"\n },\n {\n \"75990\": \"Who did Stratton work for?\"\n },\n {\n \"75991\": \"What did he do for Barnum?\"\n },\n {\n \"75992\": \"How old was Tom when he became a billionaire?\"\n },\n {\n \"75993\": \"Who did Tom marry?\"\n },\n {\n \"75994\": \"How many guests came to the wedding?\"\n },\n {\n \"75995\": \"What president did the couple meet?\"\n },\n {\n \"75996\": \"Did they live in Connecticut?\"\n },\n {\n \"75997\": \"What were the weddings called that people imitated?\"\n },\n {\n \"75998\": \"Who participated in Tom Thumb weddings\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75989\",\n \"answer\": \"General Tom Thumb\"\n },\n {\n \"question_id\": \"75990\",\n \"answer\": \"P.T.Barmum\"\n },\n {\n \"question_id\": \"75991\",\n \"answer\": \"sing, dance, act, and tell jokes.\"\n },\n {\n \"question_id\": \"75992\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"75993\",\n \"answer\": \"Lavinia Warren\"\n },\n {\n \"question_id\": \"75994\",\n \"answer\": \"about two thousand\"\n },\n {\n \"question_id\": \"75995\",\n \"answer\": \"President Abraham Lincoln\"\n },\n {\n \"question_id\": \"75996\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"75997\",\n \"answer\": \"\\\"Tom Thumb\\\"weddings.\"\n },\n {\n \"question_id\": \"75998\",\n \"answer\": \"small boys and girls\"\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 German states proclaimed their union as the German Empire under the Prussian king, Wilhelm I, uniting Germany as a nation-state. The Treaty of Frankfurt of 10 May 1871 gave Germany most of Alsace and some parts of Lorraine, which became the Imperial territory of Alsace-Lorraine (Reichsland Elsaß-Lothringen).The German conquest of France and the unification of Germany upset the European balance of power, that had existed since the Congress of Vienna in 1815 and Otto von Bismarck maintained great authority in international affairs for two decades. French determination to regain Alsace-Lorraine and fear of another Franco-German war, along with British apprehension about the balance of power, became factors in the causes of World War I. \n\nThe Ems telegram had exactly the effect on French public opinion that Bismarck had intended. \"This text produced the effect of a red flag on the Gallic bull\", Bismarck later wrote. Gramont, the French foreign minister, declared that he felt \"he had just received a slap\". The leader of the monarchists in Parliament, Adolphe Thiers, spoke for moderation, arguing that France had won the diplomatic battle and there was no reason for war, but he was drowned out by cries that he was a traitor and a Prussian. Napoleon's new prime minister, Emile Ollivier, declared that France had done all that it could humanly and honorably do to prevent the war, and that he accepted the responsibility \"with a light heart.\" A crowd of 15–20,000 people, carrying flags and patriotic banners, marched through the streets of Paris, demanding war. On 19 July 1870 a declaration of war was sent to the Prussian government. The southern German states immediately sided with Prussia.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63697\": \"Under which leader were German states united?\"\n },\n {\n \"63698\": \"When was the Treaty of Frankfurt signed?\"\n },\n {\n \"63699\": \"What did the Treaty give to Germany?\"\n },\n {\n \"63700\": \"Who had those areas belonged to?\"\n },\n {\n \"63701\": \"How did the British feel about Germany taking those areas?\"\n },\n {\n \"63702\": \"Who was the French foreign minister at this time?\"\n },\n {\n \"63703\": \"And who was the leader of the monarchists?\"\n },\n {\n \"63704\": \"Did Thiers support war?\"\n },\n {\n \"63705\": \"Did people in parliament support Thiers?\"\n },\n {\n \"63706\": \"What did they call him?\"\n },\n {\n \"63707\": \"Who was Napoleon's Prime Minister?\"\n },\n {\n \"63708\": \"Was he bothered about supporting war?\"\n },\n {\n \"63709\": \"How many people marched to support a war?\"\n },\n {\n \"63710\": \"Where did they walk?\"\n },\n {\n \"63711\": \"Were they empty-handed?\"\n },\n {\n \"63712\": \"What did they carry?\"\n },\n {\n \"63713\": \"Which war was all of this leading up to?\"\n },\n {\n \"63714\": \"Did all of this have implications for the rest of the world?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63697\",\n \"answer\": \"Prussian king, Wilhelm I\"\n },\n {\n \"question_id\": \"63698\",\n \"answer\": \"10 May 1871\"\n },\n {\n \"question_id\": \"63699\",\n \"answer\": \"most of Alsace and some parts of Lorraine\"\n },\n {\n \"question_id\": \"63700\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"63701\",\n \"answer\": \"apprehensive\"\n },\n {\n \"question_id\": \"63702\",\n \"answer\": \"Gramont\"\n },\n {\n \"question_id\": \"63703\",\n \"answer\": \"Adolphe Thiers\"\n },\n {\n \"question_id\": \"63704\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63705\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63706\",\n \"answer\": \"a traitor and a Prussian\"\n },\n {\n \"question_id\": \"63707\",\n \"answer\": \"Emile Ollivier\"\n },\n {\n \"question_id\": \"63708\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63709\",\n \"answer\": \"15\\u201320,000 people\"\n },\n {\n \"question_id\": \"63710\",\n \"answer\": \"through the streets of Paris\"\n },\n {\n \"question_id\": \"63711\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63712\",\n \"answer\": \"flags and patriotic banners\"\n },\n {\n \"question_id\": \"63713\",\n \"answer\": \"a war with Prussia\"\n },\n {\n \"question_id\": \"63714\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
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