conversations
listlengths 3
3
|
|---|
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- 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 Luo Zhixiang is a popular singer, an actor and a TV host. His English name is Show. He dances well. He is often called \"Dancing King of Asia\". He now becomes more and more popular. Show is from Taiwan Island. He is tall and cool. A lot of people love him very much because they love his songs and his wonderful voice. He is handsome now. but he was very fat in high school. So he got a nickname \"Pig\"at that time. His classmates made fun of him sometimes. But he exercised and lost weight successfully . Now he is glad that people call him \"Pig\". He likes showing himself to others. The people around him are very happy to see his performance . Show is hard-working. His TV show is successful. Many people like watching _ . He often says, \"If you have a chance, just do it!\" He does it. Maybe it is why he is so successful.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11924\": \"What does the subject of the article often say?\"\n },\n {\n \"11925\": \"Does he follow this motto himself?\"\n },\n {\n \"11926\": \"What's the guy's name?\"\n },\n {\n \"11927\": \"What's his profession?\"\n },\n {\n \"11928\": \"Is he a good dancer?\"\n },\n {\n \"11929\": \"Is he good looking?\"\n },\n {\n \"11930\": \"What was his problem in high school?\"\n },\n {\n \"11931\": \"What did the other kids call him?\"\n },\n {\n \"11932\": \"What did he do to change this?\"\n },\n {\n \"11933\": \"Does he appreciate his high school nickname now?\"\n },\n {\n \"11934\": \"What's a new nickname he got?\"\n },\n {\n \"11935\": \"What's he called in English?\"\n },\n {\n \"11936\": \"He lazy?\"\n },\n {\n \"11937\": \"How's his television program doiing?\"\n },\n {\n \"11938\": \"Is his popularity increasing?\"\n },\n {\n \"11939\": \"Is he short?\"\n },\n {\n \"11940\": \"Is he uncool?\"\n },\n {\n \"11941\": \"Why do folks like him so much?\"\n },\n {\n \"11942\": \"Where's he from?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11924\",\n \"answer\": \"If you have a chance, just do it!\"\n },\n {\n \"question_id\": \"11925\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"11926\",\n \"answer\": \"Luo Zhixiang\"\n },\n {\n \"question_id\": \"11927\",\n \"answer\": \"singer, an actor and a TV host\"\n },\n {\n \"question_id\": \"11928\",\n \"answer\": \"YEs.\"\n },\n {\n \"question_id\": \"11929\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"11930\",\n \"answer\": \"he was very fat\"\n },\n {\n \"question_id\": \"11931\",\n \"answer\": \"Pig\"\n },\n {\n \"question_id\": \"11932\",\n \"answer\": \"exercised\"\n },\n {\n \"question_id\": \"11933\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"11934\",\n \"answer\": \"Dancing King of Asia\"\n },\n {\n \"question_id\": \"11935\",\n \"answer\": \"Show\"\n },\n {\n \"question_id\": \"11936\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"11937\",\n \"answer\": \"successful\"\n },\n {\n \"question_id\": \"11938\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"11939\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"11940\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"11941\",\n \"answer\": \"they love his songs and his wonderful voice\"\n },\n {\n \"question_id\": \"11942\",\n \"answer\": \"Taiwan Island\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n U.S. billionaire Bill Gates went to watch a game of his friend, U.S. teen player Ariel Hsing, at the ExCel Centre while the girl was playing against Chinese Li Xiaoxia. Gates wore an orange jacket and dark blue baseball cap. He sat in the front row of thespectators' stand andapplauded for every point Hsing scored. \"I'm wishing her the best of luck, but the opposite player is really great,\" Gates said. Hsing was in her third match at London 2012. She had already beaten Mexico's Yadira Silva and Luxembourg's Ni Xia Lian. Hsing is known in the U.S. as a close friend with billionaires Warren Buffett and Gates. She is close enough to call them \"Uncle Warren\" and \"Uncle Bill\". Buffett met Hsing when she was only 9. Two years later, he invited her to play against his friends. She has returned several times after that. Earlier this year after winning a position on the U.S. team, she took a few points off Buffett and Gates. When asked whether he has won a point off Hsing, Gates said, \"She beat me when she was nine. She has been nice to me.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24572\": \"Who are two of Hsing's billionaire friends?\"\n },\n {\n \"24573\": \"Is she friends with Warren Buffet and Bill Gates?\"\n },\n {\n \"24574\": \"Are they billionaires?\"\n },\n {\n \"24575\": \"What does Hsing call them?\"\n },\n {\n \"24576\": \"How was old was she when she met Bill Gates?\"\n },\n {\n \"24577\": \"How old was she when he invited her to play against his buddies?\"\n },\n {\n \"24578\": \"What did Bill wear to the game at ExCel Centre?\"\n },\n {\n \"24579\": \"Did he have a good seat?\"\n },\n {\n \"24580\": \"Who did Hsing defeat from Mexico?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"24572\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24573\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24574\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24575\",\n \"answer\": \"\\\"Uncle Warren\\\" and \\\"Uncle Bill\\\".\"\n },\n {\n \"question_id\": \"24576\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"24577\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"24578\",\n \"answer\": \"orange jacket and dark blue baseball ca\"\n },\n {\n \"question_id\": \"24579\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24580\",\n \"answer\": \"Yadira Silva and Luxembourg's Ni Xia Lian.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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'm Marie. I work in a nursing home and my job is to look after the old people. Alice is one of them. She's a very nice old woman. This year, Alice had a difficult time. She went to hospital twice. In November, I finally could get her back to her \"home\". Alice hoped that her daughter could come to visit her on Christmas Eve because she wanted to be with her family, like the old days. But her daughter was coming after Christmas, so she was very sad. I also felt sad because she would be alone on the holiday! On Christmas Eve, I took her to a candlelight service at church that night. I didn't take her to my church. I took her to the church in her old neighborhood. We got there early and I let her sit near the door, so people could see her when they came in. Soon some of her friends came to the church and they all talked to her and sat with her. Alice got a lot of love from her old and new friends there. She said she loved the gift like this. That night, I thought I got the best gift: the smile on Alice's face. .\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11304\": \"What's my name?\"\n },\n {\n \"11305\": \"Where do I work?\"\n },\n {\n \"11306\": \"What do I do there?\"\n },\n {\n \"11307\": \"Where did Alice go this year?\"\n },\n {\n \"11308\": \"How many times?\"\n },\n {\n \"11309\": \"In what month?\"\n },\n {\n \"11310\": \"When did she return?\"\n },\n {\n \"11311\": \"Who did she hope would visit?\"\n },\n {\n \"11312\": \"Why?\"\n },\n {\n \"11313\": \"When was her girl arriving?\"\n },\n {\n \"11314\": \"How did that make her feel?\"\n },\n {\n \"11315\": \"Was I happy about that?\"\n },\n {\n \"11316\": \"What did I do?\"\n },\n {\n \"11317\": \"When?\"\n },\n {\n \"11318\": \"Where?\"\n },\n {\n \"11319\": \"Did she sit in front?\"\n },\n {\n \"11320\": \"Why not?\"\n },\n {\n \"11321\": \"Who else went there?\"\n },\n {\n \"11322\": \"Did they ignore her?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11304\",\n \"answer\": \"Marie\"\n },\n {\n \"question_id\": \"11305\",\n \"answer\": \"nursing home\"\n },\n {\n \"question_id\": \"11306\",\n \"answer\": \"look after the old people.\"\n },\n {\n \"question_id\": \"11307\",\n \"answer\": \"to hospital\"\n },\n {\n \"question_id\": \"11308\",\n \"answer\": \"twice\"\n },\n {\n \"question_id\": \"11309\",\n \"answer\": \"this year\"\n },\n {\n \"question_id\": \"11310\",\n \"answer\": \"In November\"\n },\n {\n \"question_id\": \"11311\",\n \"answer\": \"her daughter\"\n },\n {\n \"question_id\": \"11312\",\n \"answer\": \"she wanted to be with her family\"\n },\n {\n \"question_id\": \"11313\",\n \"answer\": \"after Christmas\"\n },\n {\n \"question_id\": \"11314\",\n \"answer\": \"very sad\"\n },\n {\n \"question_id\": \"11315\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11316\",\n \"answer\": \"I took her to a candlelight service\"\n },\n {\n \"question_id\": \"11317\",\n \"answer\": \"On Christmas Eve\"\n },\n {\n \"question_id\": \"11318\",\n \"answer\": \"the church in her old neighborhood\"\n },\n {\n \"question_id\": \"11319\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11320\",\n \"answer\": \"so people could see her\"\n },\n {\n \"question_id\": \"11321\",\n \"answer\": \"Her friends\"\n },\n {\n \"question_id\": \"11322\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XLVII. \n\nTHE GEM OF THE FOUR FAMILIES. \n\nAnd now we will go back to Noningsby. On that evening Graham ate his pheasant with a relish although so many cares sat heavy on his mind, and declared, to Mrs. Baker's great satisfaction, that the cook had managed to preserve the bread sauce uninjured through all the perils of delay which it had encountered. \n\n\"Bread sauce is so ticklish; a simmer too much and it's clean done for,\" Mrs. Baker said with a voice of great solicitude. But she had been accustomed perhaps to patients whose appetites were fastidious. The pheasant and the bread sauce and the mashed potatoes, all prepared by Mrs. Baker's own hands to be eaten as spoon meat, disappeared with great celerity; and then, as Graham sat sipping the solitary glass of sherry that was allowed to him, meditating that he would begin his letter the moment the glass was empty, Augustus Staveley again made his appearance. \n\n[Illustration: \"Bread Sauce is so ticklish.\"] \n\n\"Well, old fellow,\" said he, \"how are you now?\" and he was particularly careful so to speak as to show by his voice that his affection for his friend was as strong as ever. But in doing so he showed also that there was some special thought still present in his mind,--some feeling which was serious in its nature if not absolutely painful. \n\n\"Staveley,\" said the other, gravely, \"I have acquired knowledge to-day which I trust I may carry with me to my grave.\" \n\n\"And what is that?\" said Augustus, looking round to Mrs. Baker as though he thought it well that she should be out of the room before the expected communication was made. But Mrs. Baker's attention was so riveted by her patient's earnestness, that she made no attempt to go. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80897\": \"Did Graham enjoy his meal?\"\n },\n {\n \"80898\": \"Who was in the room with him?\"\n },\n {\n \"80899\": \"What was he drinking?\"\n },\n {\n \"80900\": \"How many had he drunk?\"\n },\n {\n \"80901\": \"What food did he complement the cook on?\"\n },\n {\n \"80902\": \"What did she say would damage it if overly done?\"\n },\n {\n \"80903\": \"Who walked in?\"\n },\n {\n \"80904\": \"Was he an empathetic person?\"\n },\n {\n \"80905\": \"Where were these people?\"\n },\n {\n \"80906\": \"What would the man take to his death?\"\n },\n {\n \"80907\": \"Did Augusts inquire further?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"80897\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80898\",\n \"answer\": \"Mrs. Baker\"\n },\n {\n \"question_id\": \"80899\",\n \"answer\": \"sherry\"\n },\n {\n \"question_id\": \"80900\",\n \"answer\": \"solitary glass\"\n },\n {\n \"question_id\": \"80901\",\n \"answer\": \"Bread sauce\"\n },\n {\n \"question_id\": \"80902\",\n \"answer\": \"a simmer too much\"\n },\n {\n \"question_id\": \"80903\",\n \"answer\": \"Augustus Staveley\"\n },\n {\n \"question_id\": \"80904\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80905\",\n \"answer\": \"Noningsby\"\n },\n {\n \"question_id\": \"80906\",\n \"answer\": \"knowledge\"\n },\n {\n \"question_id\": \"80907\",\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 Minot, North Dakota (CNN) -- A spontaneous burst of applause broke out at a Saturday press conference in Minot, North Dakota, when the city's mayor said the Souris River should crest overnight -- about 12 feet higher than flood stage, but several inches short of what had been feared. \n\n\"This is great news,\" said Mayor Curt Zimbelman. \n\nThis prediction from the National Weather Service proved a rare bright spot in what has been, and continues to be, a trying time for citizens in Minot and neighboring communities. \n\nThe Souris River, which locals call \"The Mouse\" after the French translation of its name, flows through the center of Minot, a city of about 36,000. About a third of the city's population is under evacuation orders, while at least 3,000 homes have been flooded. \n\nOne resident, Stuart Dull, told CNN about how he, his wife and two children feverishly packed up their belongings ahead of the approaching waters. What they could move out is stashed in a garage, while the family has found a temporary home in a relative's basement. \n\n\"Words kind of escape me,\" said Dull, describing his feeling after later sneaking back toward his home and seeing it under water. \"It's a sense of despair ... and it's maybe a check on some of the things that you hold dear.\" \n\nStuart Collum said he spotted the silver chimney and black roof of his house, where he has lived since 1968, on Saturday -- with the rest of the dwelling under water. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21382\": \"What is happening?\"\n },\n {\n \"21383\": \"About what?\"\n },\n {\n \"21384\": \"Where?\"\n },\n {\n \"21385\": \"How high will it get?\"\n },\n {\n \"21386\": \"what ?\"\n },\n {\n \"21387\": \"What is cresting?\"\n },\n {\n \"21388\": \"What is its nickname?\"\n },\n {\n \"21389\": \"Where does it flow?\"\n },\n {\n \"21390\": \"How big is the city?\"\n },\n {\n \"21391\": \"How many evacuated?\"\n },\n {\n \"21392\": \"How many houses are gone?\"\n },\n {\n \"21393\": \"Who talked to the reporter?\"\n },\n {\n \"21394\": \"How many in his family?\"\n },\n {\n \"21395\": \"Is his ok?\"\n },\n {\n \"21396\": \"How long has he lived there?\"\n },\n {\n \"21397\": \"Where are they now?\"\n },\n {\n \"21398\": \"What can he see?\"\n },\n {\n \"21399\": \"Where is Minot?\"\n },\n {\n \"21400\": \"Who made the statement?\"\n },\n {\n \"21401\": \"What is his name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21382\",\n \"answer\": \"a press conference\"\n },\n {\n \"question_id\": \"21383\",\n \"answer\": \"about a flood warning\"\n },\n {\n \"question_id\": \"21384\",\n \"answer\": \"Minot\"\n },\n {\n \"question_id\": \"21385\",\n \"answer\": \"12 feet higher than flood stage\"\n },\n {\n \"question_id\": \"21386\",\n \"answer\": \"12 feet\"\n },\n {\n \"question_id\": \"21387\",\n \"answer\": \"the Souris River\"\n },\n {\n \"question_id\": \"21388\",\n \"answer\": \"\\\"The Mouse\\\"\"\n },\n {\n \"question_id\": \"21389\",\n \"answer\": \"through Minot\"\n },\n {\n \"question_id\": \"21390\",\n \"answer\": \"a city of 36,000\"\n },\n {\n \"question_id\": \"21391\",\n \"answer\": \"a third of the city's population\"\n },\n {\n \"question_id\": \"21392\",\n \"answer\": \"at least 3,000 homes\"\n },\n {\n \"question_id\": \"21393\",\n \"answer\": \"Stuart Dull\"\n },\n {\n \"question_id\": \"21394\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"21395\",\n \"answer\": \"he feels despair\"\n },\n {\n \"question_id\": \"21396\",\n \"answer\": \"since 1968\"\n },\n {\n \"question_id\": \"21397\",\n \"answer\": \"a temporary home\"\n },\n {\n \"question_id\": \"21398\",\n \"answer\": \"his home under water\"\n },\n {\n \"question_id\": \"21399\",\n \"answer\": \"North Dakota\"\n },\n {\n \"question_id\": \"21400\",\n \"answer\": \"the city's mayor\"\n },\n {\n \"question_id\": \"21401\",\n \"answer\": \"Curt Zimbelman.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tiger Mom, You've been criticized a lot since your book, Battle Hymn of the Tiger Mother, came out. One problem is that some people don't get your humor. They think you're serious about all things and Lulu and I are suffering a lot from such a strict mother. That is not true. But for real, it's not their fault. No outsider can know what our family is really like. They don't hear us laughing over each other's jokes. They don't see us eating our hamburgers with fried rice. They don't know how much fun we have when the six of us dogs included squeeze into one bed and argue about what movies to download from Netflix. I admit it: Having you as a mother was no tea party. There were some play dates I wish I'd gone to and some piano camps I wish I'd got away from. But now that I'm 18 and about to leave the tiger den , I'm glad you and Daddy raised me the way you did. A lot of people have accused you of producing robot kids who can't think for themselves. Well, I came to the opposite conclusion: your strict parenting made me more independent . Everybody's talking about the birthday cards we once made for you, which you refused to take because they weren't good enough. Funny how some people believe that Lulu and I will feel hurt for life. But let's face it: It took me 30 second; I didn't put my heart into it. That's why, when you rejected it, I didn't feel hurt at all. There's one more thing: I have come to understand what it really means to live a meaningful life to the fullest. To me, it's about knowing that you've tried your best, body and mind. You feel _ when the piano piece you've practiced for days and hours finally comes to life beneath your fingertips. You feel _ when you do something on your own that you never thought you could. And for that, Tiger Mom, thank you. Yours, Sophia\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44201\": \"What kind of mother does Lulu have?\"\n },\n {\n \"44202\": \"How many people and dogs pile into a bed?\"\n },\n {\n \"44203\": \"What does the narrator call her household?\"\n },\n {\n \"44204\": \"What is the narrator's name?\"\n },\n {\n \"44205\": \"What does she call her mom?\"\n },\n {\n \"44206\": \"Who wrote a book?\"\n },\n {\n \"44207\": \"What is her book called?\"\n },\n {\n \"44208\": \"How long did Sophia spend making her mom's card?\"\n },\n {\n \"44209\": \"What occasion was the card for?\"\n },\n {\n \"44210\": \"True or False: Tiger Mom loved the card.\"\n },\n {\n \"44211\": \"Why not?\"\n },\n {\n \"44212\": \"What instrument does Sophia play?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"44201\",\n \"answer\": \"a strict mother\"\n },\n {\n \"question_id\": \"44202\",\n \"answer\": \"six\"\n },\n {\n \"question_id\": \"44203\",\n \"answer\": \"Tiger\"\n },\n {\n \"question_id\": \"44204\",\n \"answer\": \"Sophia\"\n },\n {\n \"question_id\": \"44205\",\n \"answer\": \"Tiger Mom\"\n },\n {\n \"question_id\": \"44206\",\n \"answer\": \"Tiger Mom\"\n },\n {\n \"question_id\": \"44207\",\n \"answer\": \"Battle Hymn of the Tiger Mother\"\n },\n {\n \"question_id\": \"44208\",\n \"answer\": \"30 second;\"\n },\n {\n \"question_id\": \"44209\",\n \"answer\": \"birthday\"\n },\n {\n \"question_id\": \"44210\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44211\",\n \"answer\": \"because Sophia didn't put her heart into it\"\n },\n {\n \"question_id\": \"44212\",\n \"answer\": \"piano\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 economics, the Gini coefficient (sometimes expressed as a Gini ratio or a normalized Gini index) is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measure of inequality. It was developed by the Italian statistician and sociologist Corrado Gini and published in his 1912 paper \"Variability and Mutability\" (). \n\nThe Gini coefficient measures the inequality among values of a frequency distribution (for example, levels of income). A Gini coefficient of zero expresses perfect equality, where all values are the same (for example, where everyone has the same income). A Gini coefficient of 1 (or 100%) expresses maximal inequality among values (e.g., for a large number of people, where only one person has all the income or consumption, and all others have none, the Gini coefficient will be very nearly one). However, a value greater than one may occur if some persons represent negative contribution to the total (for example, having negative income or wealth). For larger groups, values close to or above 1 are very unlikely in practice. Given the normalization of both the cumulative population and the cumulative share of income used to calculate the Gini coefficient, the measure is not overly sensitive to the specifics of the income distribution, but rather only on how incomes vary relative to the other members of a population. The exception to this is in the redistribution of wealth resulting in a minimum income for all people. When the population is sorted, if their income distribution were to approximate a well-known function, then some representative values could be calculated.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78083\": \"What could I use to measure the differences in income in a population?\"\n },\n {\n \"78084\": \"Using that, what would even Steven look like?\"\n },\n {\n \"78085\": \"Who invented this way of measuring?\"\n },\n {\n \"78086\": \"Did he publish any of his work?\"\n },\n {\n \"78087\": \"When?\"\n },\n {\n \"78088\": \"What was it called?\"\n },\n {\n \"78089\": \"What is this coefficient primarily used to measure?\"\n },\n {\n \"78090\": \"In what?\"\n },\n {\n \"78091\": \"Is it used for anything other than income inequality?\"\n },\n {\n \"78092\": \"What else is it called?\"\n },\n {\n \"78093\": \"If only one person somehow has all the money and everybody else has none, what would the Gini coefficient be?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78083\",\n \"answer\": \",the Gini coefficient\"\n },\n {\n \"question_id\": \"78084\",\n \"answer\": \"zero\"\n },\n {\n \"question_id\": \"78085\",\n \"answer\": \"Corrado Gini\"\n },\n {\n \"question_id\": \"78086\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78087\",\n \"answer\": \"1912\"\n },\n {\n \"question_id\": \"78088\",\n \"answer\": \"Variability and Mutability\"\n },\n {\n \"question_id\": \"78089\",\n \"answer\": \"inequality\"\n },\n {\n \"question_id\": \"78090\",\n \"answer\": \"among values of a frequency distribution\"\n },\n {\n \"question_id\": \"78091\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78092\",\n \"answer\": \"Gini ratio\"\n },\n {\n \"question_id\": \"78093\",\n \"answer\": \"One\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER 66 \n\nOn awaking in the morning, Richard Swiveller became conscious, by slow degrees, of whispering voices in his room. Looking out between the curtains, he espied Mr Garland, Mr Abel, the notary, and the single gentleman, gathered round the Marchioness, and talking to her with great earnestness but in very subdued tones--fearing, no doubt, to disturb him. He lost no time in letting them know that this precaution was unnecessary, and all four gentlemen directly approached his bedside. Old Mr Garland was the first to stretch out his hand, and inquire how he felt. \n\nDick was about to answer that he felt much better, though still as weak as need be, when his little nurse, pushing the visitors aside and pressing up to his pillow as if in jealousy of their interference, set his breakfast before him, and insisted on his taking it before he underwent the fatigue of speaking or of being spoken to. Mr Swiveller, who was perfectly ravenous, and had had, all night, amazingly distinct and consistent dreams of mutton chops, double stout, and similar delicacies, felt even the weak tea and dry toast such irresistible temptations, that he consented to eat and drink on one condition. \n\n'And that is,' said Dick, returning the pressure of Mr Garland's hand, 'that you answer me this question truly, before I take a bit or drop. Is it too late?' \n\n'For completing the work you began so well last night?' returned the old gentleman. 'No. Set your mind at rest on that point. It is not, I assure you.' \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58474\": \"Who woke up?\"\n },\n {\n \"58475\": \"What did he hear?\"\n },\n {\n \"58476\": \"Was Dick feeling better?\"\n },\n {\n \"58477\": \"Who brought Dick breakfast?\"\n },\n {\n \"58478\": \"What food was in it?\"\n },\n {\n \"58479\": \"Did she say he could wait to eat it?\"\n },\n {\n \"58480\": \"Was Dick hungry?\"\n },\n {\n \"58481\": \"What food did he dream about?\"\n },\n {\n \"58482\": \"What drink?\"\n },\n {\n \"58483\": \"When Dick woke up, what did he look out?\"\n },\n {\n \"58484\": \"How many people were talking?\"\n },\n {\n \"58485\": \"What was the occupation of one of them?\"\n },\n {\n \"58486\": \"Were they talking loudly?\"\n },\n {\n \"58487\": \"Who shook hands with Dick first?\"\n },\n {\n \"58488\": \"Is he elderly or young?\"\n },\n {\n \"58489\": \"What time of day did Dick wake up?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58474\",\n \"answer\": \"Richard Swiveller\"\n },\n {\n \"question_id\": \"58475\",\n \"answer\": \"voices\"\n },\n {\n \"question_id\": \"58476\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"58477\",\n \"answer\": \"his nurse,\"\n },\n {\n \"question_id\": \"58478\",\n \"answer\": \"tea and dry toast\"\n },\n {\n \"question_id\": \"58479\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"58480\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"58481\",\n \"answer\": \"mutton chops\"\n },\n {\n \"question_id\": \"58482\",\n \"answer\": \"double stout\"\n },\n {\n \"question_id\": \"58483\",\n \"answer\": \"the curtains\"\n },\n {\n \"question_id\": \"58484\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"58485\",\n \"answer\": \"notary\"\n },\n {\n \"question_id\": \"58486\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"58487\",\n \"answer\": \"Mr Garland\"\n },\n {\n \"question_id\": \"58488\",\n \"answer\": \"old\"\n },\n {\n \"question_id\": \"58489\",\n \"answer\": \"the morning\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 this story happened, they were working around a very large house. Their job was to do the cleaning. It was not a difficult job, but sometimes it was a little dangerous, because they had to walk below where workmen were working. Often these workmen dropped something from the top of the house many meters high to the ground. One morning Joe was working near the house with a cigarette behind one of his ears. Suddenly somebody on the top shouted, \"Look out!\" But Joe did not \"look out\". He looked up. And as he did so, a long knife missed Joe's head, but it cut off one of his ears. At once he put his hand to one side of his head and cried out, \"I've lost an ear. Help! Help!\" Jeff ran up to help his friend. \"Look for my ear,\" Joe told him. \"It must be on the ground somewhere.\" Jeff looked everywhere for the missing ear. At last he found an ear on the ground. He picked it up and carried it to Joe. \"Here you are,\" he said, \"I've found it.\" Joe looked at it. \"No, that's not my ear.\" he said, \"Mine had a cigarette behind it.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36596\": \"What were they doing?\"\n },\n {\n \"36597\": \"Doing what?\"\n },\n {\n \"36598\": \"Was it easy?\"\n },\n {\n \"36599\": \"Why?\"\n },\n {\n \"36600\": \"What would happen?\"\n },\n {\n \"36601\": \"Where was Joe?\"\n },\n {\n \"36602\": \"What did he hear?\"\n },\n {\n \"36603\": \"What did he do instead?\"\n },\n {\n \"36604\": \"What went by his face?\"\n },\n {\n \"36605\": \"What did it do?\"\n },\n {\n \"36606\": \"What did he do next?\"\n },\n {\n \"36607\": \"Who helped him?\"\n },\n {\n \"36608\": \"Where did they search?\"\n },\n {\n \"36609\": \"Did they find it?\"\n },\n {\n \"36610\": \"But did he think it was his?\"\n },\n {\n \"36611\": \"Why?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36596\",\n \"answer\": \"working on a house\"\n },\n {\n \"question_id\": \"36597\",\n \"answer\": \"Cleaning\"\n },\n {\n \"question_id\": \"36598\",\n \"answer\": \"Yes, but a bit dangerous\"\n },\n {\n \"question_id\": \"36599\",\n \"answer\": \"They had to walk under the workmen\"\n },\n {\n \"question_id\": \"36600\",\n \"answer\": \"The workmen would drop things from the top of the house\"\n },\n {\n \"question_id\": \"36601\",\n \"answer\": \"Joe was close to the house\"\n },\n {\n \"question_id\": \"36602\",\n \"answer\": \"A shout of \\\"look out\\\"\"\n },\n {\n \"question_id\": \"36603\",\n \"answer\": \"Joe looked up\"\n },\n {\n \"question_id\": \"36604\",\n \"answer\": \"A long knife\"\n },\n {\n \"question_id\": \"36605\",\n \"answer\": \"The knife cut off one of his ears.\"\n },\n {\n \"question_id\": \"36606\",\n \"answer\": \"He put his hand to his head and cried out\"\n },\n {\n \"question_id\": \"36607\",\n \"answer\": \"Jeff\"\n },\n {\n \"question_id\": \"36608\",\n \"answer\": \"On the ground first, then everywhere\"\n },\n {\n \"question_id\": \"36609\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36610\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36611\",\n \"answer\": \"His had a cigarette behind it\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n EBSCO Information Services, headquartered in Ipswich, Massachusetts, is a division of EBSCO Industries Inc., the third largest private company in Birmingham, Alabama, with annual sales of nearly $2 billion according to the BBJ's 2013 Book of Lists. EBSCO offers library resources to customers in academic, medical, K–12, public library, law, corporate, and government markets. Its products include EBSCONET, a complete e-resource management system, and EBSCOhost, which supplies a fee-based online research service with 375 full-text databases, a collection of 600,000-plus ebooks, subject indexes, point-of-care medical references, and an array of historical digital archives. In 2010, EBSCO introduced its EBSCO Discovery Service (EDS) to institutions, which allows searches of a portfolio of journals and magazines. \n\nEBSCO Information Services is a division of EBSCO Industries Inc., a family owned company since 1944. \"EBSCO\" is an acronym for Elton B. Stephens Co. According to \"Forbes Magazine\", EBSCO is one of the largest privately held companies in Alabama and one of the top 200 in the United States, based on revenues and employee numbers. Sales surpassed $1 billion in 1997 and exceeded $2 billion in 2006. \n\nEBSCO Industries is a diverse company which includes over 40 businesses. EBSCO Publishing was established in 1984 as a print publication called \"Popular Magazine Review\", featuring article abstracts from more than 300 magazines. In 1987 the company was purchased by EBSCO Industries and its name was changed to EBSCO Publishing. It employed around 750 people by 2007. In 2003 it acquired Whitston Publishing, another database provider. In 2010 EBSCO purchased NetLibrary and in 2011, EBSCO Publishing took over H. W. Wilson Company. It merged with EBSCO Information Services on July 1, 2013. The merged business operates as EBSCO Information Services. , the President is Tim Collins.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67297\": \"Is the company family owned?\"\n },\n {\n \"67298\": \"When was it started?\"\n },\n {\n \"67299\": \"Where is the headquaters?\"\n },\n {\n \"67300\": \"What does it offer?\"\n },\n {\n \"67301\": \"What kind of resources are offered?\"\n },\n {\n \"67302\": \"Are consumers charged for the services?\"\n },\n {\n \"67303\": \"Is it a brick and mortar establishment or is it on the web?\"\n },\n {\n \"67304\": \"What does the name stand for?\"\n },\n {\n \"67305\": \"Is it a large company?\"\n },\n {\n \"67306\": \"It's in the top how many in the US?\"\n },\n {\n \"67307\": \"Is it diverse?\"\n },\n {\n \"67308\": \"How many businesses are included?\"\n },\n {\n \"67309\": \"When was the publishing division established?\"\n },\n {\n \"67310\": \"Was EBSCO its original name?\"\n },\n {\n \"67311\": \"What was it?\"\n },\n {\n \"67312\": \"When did the name change?\"\n },\n {\n \"67313\": \"When did the merger happen?\"\n },\n {\n \"67314\": \"Who is the president?\"\n },\n {\n \"67315\": \"How much income did the generate in 1997?\"\n },\n {\n \"67316\": \"How long did it take to double that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67297\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67298\",\n \"answer\": \"1944\"\n },\n {\n \"question_id\": \"67299\",\n \"answer\": \"in Ipswich\"\n },\n {\n \"question_id\": \"67300\",\n \"answer\": \"library resources\"\n },\n {\n \"question_id\": \"67301\",\n \"answer\": \"EBSCONET and EBSCOhost\"\n },\n {\n \"question_id\": \"67302\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67303\",\n \"answer\": \"it is online\"\n },\n {\n \"question_id\": \"67304\",\n \"answer\": \"it is an acronym for Elton B. Stephens Co.\"\n },\n {\n \"question_id\": \"67305\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67306\",\n \"answer\": \"the top three\"\n },\n {\n \"question_id\": \"67307\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67308\",\n \"answer\": \"over 40\"\n },\n {\n \"question_id\": \"67309\",\n \"answer\": \"1984\"\n },\n {\n \"question_id\": \"67310\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67311\",\n \"answer\": \"Popular Magazine Review\"\n },\n {\n \"question_id\": \"67312\",\n \"answer\": \"1987\"\n },\n {\n \"question_id\": \"67313\",\n \"answer\": \"July 1, 2013\"\n },\n {\n \"question_id\": \"67314\",\n \"answer\": \"Tim Collins\"\n },\n {\n \"question_id\": \"67315\",\n \"answer\": \"over $1\\u00a0billion\"\n },\n {\n \"question_id\": \"67316\",\n \"answer\": \"9 years\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIX. \n\nFor an Indian isle she shapes her way With constant mind both night and day: She seems to hold her home in view And sails as if the path she knew, So calm and stately in her motion Across the unfathomed, trackless ocean. -- WILSON. \n\nIt has been said that Peter was in advance. When his canoe was nearly abreast of the usual landing at the hut, he saw two canoes coming out from among the rice, and distant from him not more than a hundred yards. At a greater distance, indeed, it would not have been easy to distinguish such an object on the water at all. Instead of attempting to avoid these two canoes, the chief instantly called to them, drawing the attention of those in them to himself, speaking so loud as to be easily overheard by those who followed. \n\n\"My young men are too late,\" he said. \"The pale-faces have been seen in the openings above by our warriors, and must soon be here. Let us land, and be ready to meet them at the wigwam.\" \n\nPeter's voice was immediately recognized. The confident, quiet, natural manner in which he spoke served to mislead those in the canoes; and when he joined them, and entered the passage among the rice that led to the landing, preceding the others, the last followed him as regularly as the colt follows its dam. Le Bourdon heard the conversation, and understood the movement, though he could not see the canoes. Peter continued talking aloud, as he went up the passage, receiving answers to all he said from his new companions, his voice serving to let the fugitives know precisely where they were. All this was understood and improved by the last, who lost no time in turning the adventure to account. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88968\": \"who was ahead?\"\n },\n {\n \"88969\": \"In what?\"\n },\n {\n \"88970\": \"where at?\"\n },\n {\n \"88971\": \"where?\"\n },\n {\n \"88972\": \"what did he see?\"\n },\n {\n \"88973\": \"how many?\"\n },\n {\n \"88974\": \"coming from where?\"\n },\n {\n \"88975\": \"how far away?\"\n },\n {\n \"88976\": \"did he avoid them?\"\n },\n {\n \"88977\": \"what did he do?\"\n },\n {\n \"88978\": \"did they notice?\"\n },\n {\n \"88979\": \"who else heard?\"\n },\n {\n \"88980\": \"was his voice recognized?\"\n },\n {\n \"88981\": \"what was misleading?\"\n },\n {\n \"88982\": \"who overheard?\"\n },\n {\n \"88983\": \"did he understand?\"\n },\n {\n \"88984\": \"what did he not see?\"\n },\n {\n \"88985\": \"where was Peter heading?\"\n },\n {\n \"88986\": \"did he continue conversing with the others?\"\n },\n {\n \"88987\": \"what did this cause?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"88968\",\n \"answer\": \"Peter\"\n },\n {\n \"question_id\": \"88969\",\n \"answer\": \"his canoe\"\n },\n {\n \"question_id\": \"88970\",\n \"answer\": \"abreast of the usual landing\"\n },\n {\n \"question_id\": \"88971\",\n \"answer\": \"at the hut\"\n },\n {\n \"question_id\": \"88972\",\n \"answer\": \"canoes\"\n },\n {\n \"question_id\": \"88973\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"88974\",\n \"answer\": \"among the rice\"\n },\n {\n \"question_id\": \"88975\",\n \"answer\": \"not more than a hundred yards\"\n },\n {\n \"question_id\": \"88976\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"88977\",\n \"answer\": \"called to them\"\n },\n {\n \"question_id\": \"88978\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88979\",\n \"answer\": \"those who followed\"\n },\n {\n \"question_id\": \"88980\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88981\",\n \"answer\": \"The confident, quiet, natural manner in which he spoke\"\n },\n {\n \"question_id\": \"88982\",\n \"answer\": \"Le Bourdon\"\n },\n {\n \"question_id\": \"88983\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88984\",\n \"answer\": \"the canoes\"\n },\n {\n \"question_id\": \"88985\",\n \"answer\": \"up the passage\"\n },\n {\n \"question_id\": \"88986\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88987\",\n \"answer\": \"let the fugitives know precisely where they were\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Eastern Europe is the eastern part of the European continent. There is no consensus on the precise area it covers, partly because the term has a wide range of geopolitical, geographical, cultural, and socioeconomic connotations. There are \"almost as many definitions of Eastern Europe as there are scholars of the region\". A related United Nations paper adds that \"every assessment of spatial identities is essentially a social and cultural construct\". \n\nOne definition describes Eastern Europe as a cultural entity: the region lying in Europe with the main characteristics consisting of Greek, Byzantine, Eastern Orthodox, Russian , and some Ottoman culture influences. Another definition was created during the Cold War and used more or less synonymously with the term \"Eastern Bloc\". A similar definition names the formerly communist European states outside the Soviet Union as Eastern Europe. Some historians and social scientists view such definitions as outdated or relegated, but they are still sometimes used for statistical purposes. \n\nSeveral other definitions of Eastern Europe exist today, but they often lack precision, are too general or outdated. These definitions vary both across cultures and among experts, even political scientists, as the term has a wide range of geopolitical, geographical, cultural, and socioeconomic connotations.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47528\": \"What exact area does Eastern Europe cover?\"\n },\n {\n \"47529\": \"What is one way it is defined?\"\n },\n {\n \"47530\": \"How many influence does that say it has?\"\n },\n {\n \"47531\": \"How many is that?\"\n },\n {\n \"47532\": \"When did they come up with another way to define it?\"\n },\n {\n \"47533\": \"What does it basically have for a synonym?\"\n },\n {\n \"47534\": \"Which former communist states are named as being Eastern Europe?\"\n },\n {\n \"47535\": \"Are these old definitions?\"\n },\n {\n \"47536\": \"What are definitions missing?\"\n },\n {\n \"47537\": \"Do all political scientists agree?\"\n },\n {\n \"47538\": \"Are there a lot of connotations to the term?\"\n },\n {\n \"47539\": \"Where is Eastern Europe?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47528\",\n \"answer\": \"no precise area\"\n },\n {\n \"question_id\": \"47529\",\n \"answer\": \"a cultural entity\"\n },\n {\n \"question_id\": \"47530\",\n \"answer\": \"Greek, Byzantine, Eastern Orthodox, Russian , and some Ottoman culture influences\"\n },\n {\n \"question_id\": \"47531\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"47532\",\n \"answer\": \"during the Cold War\"\n },\n {\n \"question_id\": \"47533\",\n \"answer\": \"Eastern Bloc\"\n },\n {\n \"question_id\": \"47534\",\n \"answer\": \"states outside the Soviet Union\"\n },\n {\n \"question_id\": \"47535\",\n \"answer\": \"Some historians and social scientists say so\"\n },\n {\n \"question_id\": \"47536\",\n \"answer\": \"precision\"\n },\n {\n \"question_id\": \"47537\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47538\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47539\",\n \"answer\": \"the eastern part of the European continent\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One day, my dog woke up early and wouldn't go back to sleep. Why did the dog wake up early? I tried really hard to find out. \"Are you sick, dog?\" I asked. He didn't say anything, so I took his temperature. It said he wasn't sick! \"Are you hungry, dog?\" He didn't say anything, so I feed him some dog food. He didn't eat it! \"Are you thirsty, dog?\" He didn't say anything, so I gave him some water. He didn't drink it! \"What's wrong, dog?\" He wagged and wagged his tail, and then went over to a bag of balloons that I had. He poked them with his nose. \"Oh!\" I said. I went over to the balloons and took one out of the bag. I blew it up. He wagged his tail harder. \"Is it your birthday, dog?\" He wagged and wagged. It must be his birthday! I baked him a bright yellow cake and blew up more balloons. I played his favorite music. We had a party. It was so much fun!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3497\": \"Who awoke too early?\"\n },\n {\n \"3498\": \"Did he return to sleep?\"\n },\n {\n \"3499\": \"Did you try to figure out why?\"\n },\n {\n \"3500\": \"Was your dog ill?\"\n },\n {\n \"3501\": \"How do you know he wasn't ill?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3497\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"3498\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3499\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3500\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3501\",\n \"answer\": \"took his temperature\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Gordon Stoker, who as part of the vocal group the Jordanaires sang backup on hits by Elvis Presley, Patsy Cline, George Jones and countless others, died Wednesday at his home in Brentwood, Tennessee. He was 88. \n\nHis death was confirmed by the group's website. \n\nFor many years, the Jordanaires were Elvis' go-to backup singers, performing on hits including \"Hound Dog,\" \"Are You Lonesome Tonight\" and \"Crying in the Chapel.\" \n\nThe group also supported Patsy Cline on \"Crazy,\" Jim Reeves on \"Four Walls,\" Kenny Rogers on \"Lucille\" and Jones on \"He Stopped Loving Her Today.\" \n\nOn their own, they generally stuck to gospel, releasing more than a dozen albums over the course of several decades. \n\nThe group met Presley after a performance with Eddy Arnold in 1955. According to a much-told story, after the show the then-unknown Elvis told the group that, if he ever landed a major-label contract -- he was on Memphis' Sun Records at the time -- he'd have the Jordanaires back him up. After Presley joined RCA in 1956, he was true to his word. The group sang with him on both recordings and in concert for the next 14 years. \n\nStoker wasn't an original member of the group, which formed in Springfield, Missouri, in the 1940s. He was hired as its piano player in 1950 and only became a vocalist later -- staying for more than 60 years, generally as its lead tenor. \n\n\"As a longtime member of the vocal quartet the Jordanaires, he helped to influence the sound of gospel, country and pop music with a unique and versatile style while recording with an impressive roster of artists,\" said the Recording Academy in a statement. \"We have lost a gifted and timeless artist who made significant contributions to music and our industry.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38482\": \"What was Gordon Stokers job?\"\n },\n {\n \"38483\": \"What happened to him?\"\n },\n {\n \"38484\": \"Where?\"\n },\n {\n \"38485\": \"How old was he?\"\n },\n {\n \"38486\": \"Who did he sing back up for?\"\n },\n {\n \"38487\": \"What was the name of Gordon's group?\"\n },\n {\n \"38488\": \"When did they meet Elvis?\"\n },\n {\n \"38489\": \"What year?\"\n },\n {\n \"38490\": \"What promise did Elvis make?\"\n },\n {\n \"38491\": \"did he keep it?\"\n },\n {\n \"38492\": \"how long did they sing with Elvis?\"\n },\n {\n \"38493\": \"What genre of music were the Jordanaires known for on their own?\"\n },\n {\n \"38494\": \"What other artists did they work with?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38482\",\n \"answer\": \"he sang backup\"\n },\n {\n \"question_id\": \"38483\",\n \"answer\": \"He died\"\n },\n {\n \"question_id\": \"38484\",\n \"answer\": \"at his home\"\n },\n {\n \"question_id\": \"38485\",\n \"answer\": \"88\"\n },\n {\n \"question_id\": \"38486\",\n \"answer\": \"Elvis Presley\"\n },\n {\n \"question_id\": \"38487\",\n \"answer\": \"the Jordanaires\"\n },\n {\n \"question_id\": \"38488\",\n \"answer\": \"after a performance\"\n },\n {\n \"question_id\": \"38489\",\n \"answer\": \"1955\"\n },\n {\n \"question_id\": \"38490\",\n \"answer\": \"if he ever landed a major-label contract he'd have the Jordanaires back him up\"\n },\n {\n \"question_id\": \"38491\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38492\",\n \"answer\": \"14 years\"\n },\n {\n \"question_id\": \"38493\",\n \"answer\": \"gospel\"\n },\n {\n \"question_id\": \"38494\",\n \"answer\": \"Patsy Cline and George Jones\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Robert Frost was one of America's best known and most honored serious writers. But his fame came late in his life. \n\nHe was born in San Francisco, California in 1874. He lived in California during his early childhood. He was named after the chief Southern general in America's Civil War. The general's name was Robert Edward Lee. The poet was named Robert Lee Frost, because his father wanted to honor the general. \n\nSomeone once asked another American writer, Ernest Hemingway, how to become a writer. The best thing, he said, was to have an unhappy childhood. If this is true, Robert Frost's childhood was unhappy enough to make him a very good writer. Robert Frost's father was a reporter who wanted to be a politician. He often drank too much wine and became angry. Robert was the victim of his anger. \n\nRobert Frost finished high school in 1891. After high school, Robert's grandfather offered to pay his costs at Dartmouth College. But Robert left the school after a few months. He did not like it. He spent the next few years working at different jobs. At one time, he worked in a factory. Later, he repaired shoes. He was a teacher. He was a reporter. Always, he wrote poetry. \n\nRobert Frost attended Harvard University for two years. After that, he returned to the many jobs he held before. For a while, Frost tried to take care of a farm in the state of New Hampshire. He was not a successful farmer. And he continued to write poetry. He said that until 1930, he earned only about ten dollars a year from writing. \n\nIn 1912, he decided to try to make a new start. He took his family to Britain. The cost of living was low. In Britain, Frost found a publisher for his first book of poems. The book was called A Boy's Will. When it appeared in 1913. Frost received high praise from British readers. Praise was something he had not received in his own country. \n\nEzra Pound, another American poet living in Britain, read the poems and liked them very much. He wrote a magazine article about Frost. He also helped get Frost's second book of poems published in America. That book was called North of Boston.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37381\": \"Which one of America's best known writers is this story about?\"\n },\n {\n \"37382\": \"Who was he named after?\"\n },\n {\n \"37383\": \"What was Robert Lee famous for?\"\n },\n {\n \"37384\": \"So, why was Frost named after him?\"\n },\n {\n \"37385\": \"And where did Frost live as a young child?\"\n },\n {\n \"37386\": \"Was he also born there?\"\n },\n {\n \"37387\": \"In which year?\"\n },\n {\n \"37388\": \"Why did he quit Dartmouth?\"\n },\n {\n \"37389\": \"Did he have a happy childhood?\"\n },\n {\n \"37390\": \"How many years did he go to Harvard?\"\n },\n {\n \"37391\": \"What did he do in New Hampshire?\"\n },\n {\n \"37392\": \"What did he write?\"\n },\n {\n \"37393\": \"What was published in 1913?\"\n },\n {\n \"37394\": \"Did people like it?\"\n },\n {\n \"37395\": \"Who wrote an article about him?\"\n },\n {\n \"37396\": \"What was the name of the book that he helped Frost get published?\"\n },\n {\n \"37397\": \"What did Hemingway say about becoming a writer?\"\n },\n {\n \"37398\": \"Who offered to pay Frost's way at Dartmouth?\"\n },\n {\n \"37399\": \"What did did he graduate high school?\"\n },\n {\n \"37400\": \"Was he ever a reporter like his father?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37381\",\n \"answer\": \"Robert Frost\"\n },\n {\n \"question_id\": \"37382\",\n \"answer\": \"Robert Edward Lee.\"\n },\n {\n \"question_id\": \"37383\",\n \"answer\": \"chief Southern general\"\n },\n {\n \"question_id\": \"37384\",\n \"answer\": \"father wanted to honor the general\"\n },\n {\n \"question_id\": \"37385\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"37386\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37387\",\n \"answer\": \"1874\"\n },\n {\n \"question_id\": \"37388\",\n \"answer\": \"He didn't like it.\"\n },\n {\n \"question_id\": \"37389\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"37390\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"37391\",\n \"answer\": \"tried to farm\"\n },\n {\n \"question_id\": \"37392\",\n \"answer\": \"poetry\"\n },\n {\n \"question_id\": \"37393\",\n \"answer\": \"A Boy's Will.\"\n },\n {\n \"question_id\": \"37394\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37395\",\n \"answer\": \"Ezra Pound\"\n },\n {\n \"question_id\": \"37396\",\n \"answer\": \"North of Boston\"\n },\n {\n \"question_id\": \"37397\",\n \"answer\": \"The best thing was to have an unhappy childhood.\"\n },\n {\n \"question_id\": \"37398\",\n \"answer\": \"Robert's grandfather\"\n },\n {\n \"question_id\": \"37399\",\n \"answer\": \"1891\"\n },\n {\n \"question_id\": \"37400\",\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 Napoleonic Wars (1803–1815), were a series of major conflicts pitting the French Empire and its allies, led by Napoleon I, against a fluctuating array of European powers formed into various coalitions, financed and usually led by Great Britain. The wars stemmed from the unresolved disputes associated with the French Revolution and its resultant conflict. The wars are often categorised into five conflicts, each termed after the coalition that fought Napoleon; the Third Coalition (1805), the Fourth (1806–7), Fifth (1809), Sixth (1813), and the Seventh and final (1815). \n\nNapoleon, upon ascending to First Consul of France in 1799, had inherited a chaotic republic; he subsequently created a state with stable finances, a strong bureaucracy, and a well-trained army. In 1805, Austria and Russia waged war against France. In response, Napoleon defeated the allied Russo-Austrian army at Austerlitz in December 1805, which is considered his greatest victory. At sea, the British inflicted a severe defeat in October 1805 upon the joint Franco-Spanish navy, securing British control of the seas and preventing the invasion of Britain itself. Prussian concerns about increasing French power led to a resumption of war in October 1806. Napoleon quickly defeated the Prussians, and defeated Russia in June 1807, bringing an uneasy peace to the continent. The peace failed; war broke out two years later in 1809, and this coalition was soon defeated.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20856\": \"Who led the Napoleonic Wars?\"\n },\n {\n \"20857\": \"When were they?\"\n },\n {\n \"20858\": \"What happened in 1805?\"\n },\n {\n \"20859\": \"When was the fourth?\"\n },\n {\n \"20860\": \"The Sixth?\"\n },\n {\n \"20861\": \"The final?\"\n },\n {\n \"20862\": \"What office did Napoleon get in 1799?\"\n },\n {\n \"20863\": \"Did someone wage war against France in 1805?\"\n },\n {\n \"20864\": \"Name one of the countries that did?\"\n },\n {\n \"20865\": \"And the other?\"\n },\n {\n \"20866\": \"Did Napoleon defeat them?\"\n },\n {\n \"20867\": \"Where?\"\n },\n {\n \"20868\": \"When?\"\n },\n {\n \"20869\": \"Where did the British fight?\"\n },\n {\n \"20870\": \"Was Britain invaded?\"\n },\n {\n \"20871\": \"When did Napoleon defeat Russia?\"\n },\n {\n \"20872\": \"Did the ensuing peace last?\"\n },\n {\n \"20873\": \"When did war break out again?\"\n },\n {\n \"20874\": \"Is the French revolution mentioned in this article?\"\n },\n {\n \"20875\": \"Was France allied with any other country?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20856\",\n \"answer\": \"Napoleon I\"\n },\n {\n \"question_id\": \"20857\",\n \"answer\": \"1803\\u20131815\"\n },\n {\n \"question_id\": \"20858\",\n \"answer\": \"the Third Coalition\"\n },\n {\n \"question_id\": \"20859\",\n \"answer\": \"1806\\u20137\"\n },\n {\n \"question_id\": \"20860\",\n \"answer\": \"1813\"\n },\n {\n \"question_id\": \"20861\",\n \"answer\": \"1815\"\n },\n {\n \"question_id\": \"20862\",\n \"answer\": \"First Consul of France\"\n },\n {\n \"question_id\": \"20863\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20864\",\n \"answer\": \"Austria\"\n },\n {\n \"question_id\": \"20865\",\n \"answer\": \"Russia\"\n },\n {\n \"question_id\": \"20866\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20867\",\n \"answer\": \"Austerlitz\"\n },\n {\n \"question_id\": \"20868\",\n \"answer\": \"December 1805\"\n },\n {\n \"question_id\": \"20869\",\n \"answer\": \"At sea\"\n },\n {\n \"question_id\": \"20870\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20871\",\n \"answer\": \"June 1807\"\n },\n {\n \"question_id\": \"20872\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20873\",\n \"answer\": \"1809\"\n },\n {\n \"question_id\": \"20874\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20875\",\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 Tripoli, Libya (CNN) -- After emerging from the rubble of Moammar Gadhafi's Baba az' Azia palace late in August, Abdul Hakim Belhaj seized control as the military commander of Tripoli. \n\nAn Islamist who had taken little public part in the spring uprising against Gadhafi, he claimed his soldiers had won the symbolic battle for the palace, the heart of the Libyan strongman's regime. By taking control of Tripoli, Belhaj gained authority over a third of the country's population and a major slice of its wealth. \n\nIt was a power play that other opposition fighters bitterly resented. \n\nAbdullah Naker, one of several rival commanders, claims his fighters endured far tougher and more significant battles than the siege of Gadhafi's palace, not least the struggle to win control of Tripoli's main international airport that lasted several days. \n\nIn an interview with CNN he downplayed Belhaj's success and threatened confrontation, as internal divisions threaten to pull apart the coalition that brought Gadhafi down. \n\n\"Who is Abdulhakim Belhaj and who appointed him?\" Naker asks. \"We don't know him. We are the leaders, we are the revolutionists, we know everything.\" \n\nNaker echoes a much wider complaint that Belhaj is actually a stooge of the Qataris. \n\n\"We know that Abdulhakim Belhaj was in a school and Qatar sends him money to buy weapons,\" he said. \n\nIn Tripoli today it's a commonly held belief that Belhaj's Tripoli Military Council is getting direct funding from Qatar. These concerns come amid reports that a NATO delegation traveled to Qatar last week to raise the issue. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79340\": \"Where did Abdul Hakim Belha seize control?\"\n },\n {\n \"79341\": \"Is Abdul an Islamist?\"\n },\n {\n \"79342\": \"What did Abdul gain by taking control of Tripoli?\"\n },\n {\n \"79343\": \"Did Belhaj ever talk to CNN?\"\n },\n {\n \"79344\": \"What country did people think was behind Belhau's Council?\"\n },\n {\n \"79345\": \"Is Naker a fan of Belhaj?\"\n },\n {\n \"79346\": \"Was Gadhafi's palace cleaned by Abdul and his suppoerters?\"\n },\n {\n \"79347\": \"Does Naker say that Belhaj is backed by the Qataris?\"\n },\n {\n \"79348\": \"What month was Moammar Gadhafi's palace destroyed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79340\",\n \"answer\": \"Tripoli\"\n },\n {\n \"question_id\": \"79341\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79342\",\n \"answer\": \"He gained authority over a third of the country's population and a major slice of its wealth.\"\n },\n {\n \"question_id\": \"79343\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79344\",\n \"answer\": \"the Qataris\"\n },\n {\n \"question_id\": \"79345\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79346\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79347\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79348\",\n \"answer\": \"in August\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there was a cow. It was a very happy cow. The cow put his chin in the window. Then the cow put a rock in a window. The cow was done putting things in the window. The cow talked to his daddy. Then the cow talked to his granddaddy. Then it was time for the cow to eat lunch. The cow took a long time to eat lunch. The cow ate some chips for lunch. The cow didn't eat a sandwich or a pickle for lunch. The cow was getting very sleepy. The cow wanted to take a nap. The cow went to his bed. There was a book on the bed. The cow could not sleep on his bed. The cow took the book off his bed. Then the cow could take a nap. The cow was very happy that it could take a nap on its bed. The cow was a good cow.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58459\": \"Who put their chin in the window?\"\n },\n {\n \"58460\": \"what kind of bovine was he?\"\n },\n {\n \"58461\": \"what did he place in the window next?\"\n },\n {\n \"58462\": \"who did he speak with>\"\n },\n {\n \"58463\": \"then who?\"\n },\n {\n \"58464\": \"what meal did he have?\"\n },\n {\n \"58465\": \"was he a quick eater>\\\\?\"\n },\n {\n \"58466\": \"what did he have?\"\n },\n {\n \"58467\": \"what did he do after his meal?\"\n },\n {\n \"58468\": \"why?\"\n },\n {\n \"58469\": \"what was there that he had to remove?\"\n },\n {\n \"58470\": \"what did he do with it?\"\n },\n {\n \"58471\": \"what could he do now?\"\n },\n {\n \"58472\": \"how did this make him feel?\"\n },\n {\n \"58473\": \"Did he have a vegetable with his noon meal?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58459\",\n \"answer\": \"a cow\"\n },\n {\n \"question_id\": \"58460\",\n \"answer\": \"a happy one\"\n },\n {\n \"question_id\": \"58461\",\n \"answer\": \"a rock\"\n },\n {\n \"question_id\": \"58462\",\n \"answer\": \"his daddy\"\n },\n {\n \"question_id\": \"58463\",\n \"answer\": \"his granddaddy\"\n },\n {\n \"question_id\": \"58464\",\n \"answer\": \"lunch\"\n },\n {\n \"question_id\": \"58465\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58466\",\n \"answer\": \"chips\"\n },\n {\n \"question_id\": \"58467\",\n \"answer\": \"went to his bed\"\n },\n {\n \"question_id\": \"58468\",\n \"answer\": \"he was sleepy\"\n },\n {\n \"question_id\": \"58469\",\n \"answer\": \"a book\"\n },\n {\n \"question_id\": \"58470\",\n \"answer\": \"he took it off\"\n },\n {\n \"question_id\": \"58471\",\n \"answer\": \"take a nap\"\n },\n {\n \"question_id\": \"58472\",\n \"answer\": \"happy\"\n },\n {\n \"question_id\": \"58473\",\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 New Brunswick, New Jersey (CNN) -- The man Tyler Clementi was intimate with just days before he committed suicide took the stand Friday, telling jurors that he had noticed a web camera aimed at Clementi's bed. \n\nThe witness, who prosecutors named only as \"M.B.\" to protect his identity, testified during the sixth day of the trial of a former Rutgers University student, Dharun Ravi. \n\nRavi is accused of spying on and intimidating Clementi, his former university roommate, because he was gay. \n\nM.B., 32, testified Friday that he first met Clementi on an internet social networking site for gay men and that they eventually met in the student's dorm room three times. The two conversed online, exchanged text messages and later had sex. \n\nAt one point when they were together in the dorm room, M.B. glanced over at Ravi's desk and saw \"a camera lens pointed at (Clementi's) bed.\" \n\nHe also testified that he had briefly met Ravi while visiting Clementi. Ravi on one occasion allegedly left the room and came back, \"walked to his desk, shuffled around a bit and then walked out.\" \n\nM.B. testified that on September 19, 2010, he drove to meet Clementi at his building, three days after the first visit. When he left, M.B. said he saw about five people milling around the hallway who seemed to be looking at him. \n\n\"They didn't say anything,\" he said. But they were looking at him in a way that made him wonder why they were staring, he said. \"But as I was a guest in their building, I just brushed it off.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77492\": \"What was the witness name?\"\n },\n {\n \"77493\": \"How old was he?\"\n },\n {\n \"77494\": \"Why did prosecutors name him that?\"\n },\n {\n \"77495\": \"On what weekday did he testify?\"\n },\n {\n \"77496\": \"How many days into the trial?\"\n },\n {\n \"77497\": \"Who was facing time?\"\n },\n {\n \"77498\": \"Name one thing he was accused of?\"\n },\n {\n \"77499\": \"Name another.\"\n },\n {\n \"77500\": \"Against who?\"\n },\n {\n \"77501\": \"Why was he doing this to the man?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77492\",\n \"answer\": \"The witness, who prosecutors named only as \\\"M.B.\\\"\"\n },\n {\n \"question_id\": \"77493\",\n \"answer\": \"32\"\n },\n {\n \"question_id\": \"77494\",\n \"answer\": \"to protect his identity,\"\n },\n {\n \"question_id\": \"77495\",\n \"answer\": \"Friday,\"\n },\n {\n \"question_id\": \"77496\",\n \"answer\": \"6 days\"\n },\n {\n \"question_id\": \"77497\",\n \"answer\": \"Dharun Ravi\"\n },\n {\n \"question_id\": \"77498\",\n \"answer\": \"Spying\"\n },\n {\n \"question_id\": \"77499\",\n \"answer\": \"intimidation\"\n },\n {\n \"question_id\": \"77500\",\n \"answer\": \"Clementi\"\n },\n {\n \"question_id\": \"77501\",\n \"answer\": \"because he was gay.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIV \n\nEnid, my early and my only love, I thought, but that your father came between, In former days you saw me favourably, And if it were so, do not keep it back, Make me a little happier, let me know it.--TENNYSON \n\nThe foreign tour proved a great success. The summer in the Alps was delightful. The complete change gave Bertha new life, bodily strength first returning, and then mental activity. The glacier system was a happy exchange for her _ego_, and she observed and enjoyed with all the force of her acute intelligence and spirit of inquiry, while Phoebe was happy in doing her duty by profiting by all opportunities of observation, in taking care of Maria and listening to Mervyn, and Miss Charlecote enjoyed scenery, poetry, art, and natural objects with relish keener than even that of her young friends, who were less impressible to beauty in every shape. \n\nMervyn behaved very well to her, knowing himself bound to make the journey agreeable to her; he was constantly kind to Bertha, and in the pleasure of her revival submitted to a wonderful amount of history and science. All his grumbling was reserved for the private ear of Phoebe, whose privilege it always was to be his murmuring block, and who was only too thankful to keep to herself his discontents whenever his route was not chosen (and often when it was), his disgusts with inns, railroads, and sights and his impatience of all pursuits save Bertha's. Many a time she was permitted to see and hear nothing but how much he was bored, but on the whole the growls were so mitigated compared with what she had known, that it was almost contentment; and that he did not absolutely dislike their habits was plain from his adherence to the ladies, though he might have been quite independent of them. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26004\": \"Who was in love with Enid?\"\n },\n {\n \"26005\": \"Who was an obstacle to that?\"\n },\n {\n \"26006\": \"Did Tennyson want Enid back?\"\n },\n {\n \"26007\": \"Was the tour a success?\"\n },\n {\n \"26008\": \"What season was that?\"\n },\n {\n \"26009\": \"Did visit any mountain range?\"\n },\n {\n \"26010\": \"Who felt refreshed?\"\n },\n {\n \"26011\": \"What was a happy exchange for her?\"\n },\n {\n \"26012\": \"Is she a smart person?\"\n },\n {\n \"26013\": \"Inquisitive too?\"\n },\n {\n \"26014\": \"Who was taking care of others?\"\n },\n {\n \"26015\": \"Whom?\"\n },\n {\n \"26016\": \"Was Phoebe attentive to someone?\"\n },\n {\n \"26017\": \"Who was admiring the arts and poetry?\"\n },\n {\n \"26018\": \"Who was kind to Bertha?\"\n },\n {\n \"26019\": \"Who he was complaining about?\"\n },\n {\n \"26020\": \"And anything else?\"\n },\n {\n \"26021\": \"Was he supposedly in dependent of the ladies?\"\n },\n {\n \"26022\": \"Was Charlecote more keen at observing the nature?\"\n },\n {\n \"26023\": \"Compared to whom?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26004\",\n \"answer\": \"Tennyson\"\n },\n {\n \"question_id\": \"26005\",\n \"answer\": \"Enid's father.\"\n },\n {\n \"question_id\": \"26006\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26007\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26008\",\n \"answer\": \"Summer.\"\n },\n {\n \"question_id\": \"26009\",\n \"answer\": \"the Alps\"\n },\n {\n \"question_id\": \"26010\",\n \"answer\": \"Bertha\"\n },\n {\n \"question_id\": \"26011\",\n \"answer\": \"The glacier system\"\n },\n {\n \"question_id\": \"26012\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26013\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26014\",\n \"answer\": \"Phoebe\"\n },\n {\n \"question_id\": \"26015\",\n \"answer\": \"Maria\"\n },\n {\n \"question_id\": \"26016\",\n \"answer\": \"Mervyn\"\n },\n {\n \"question_id\": \"26017\",\n \"answer\": \"Miss Charlecote\"\n },\n {\n \"question_id\": \"26018\",\n \"answer\": \"Mervyn\"\n },\n {\n \"question_id\": \"26019\",\n \"answer\": \"He was disgusted with Inns\"\n },\n {\n \"question_id\": \"26020\",\n \"answer\": \"Railroads\"\n },\n {\n \"question_id\": \"26021\",\n \"answer\": \"He could have been but he wasn't\"\n },\n {\n \"question_id\": \"26022\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26023\",\n \"answer\": \"Her young friends.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Register in person, by phone 264-8833, or by mail. Use form given. \n\n178 IN Winchester St., Chicago \n\nBasic Photography This is an eight-hour course for beginners who want to learn how to use a 35mm camera. The teacher will cover such areas as kinds of film, light and lenses . Bring your own 35mm camera to class. Course charge: $50.Jan. 10,12,17,19, Tues & Thurs. 6:00-8:00 pm. Marianne Adams is a professional photographer whose photographs appear in many magazines. \n\nUnderstanding Computers This twelve-hour course is for people who do not know much about computers, but need to learn about them. You will learn what computers are, what they can and can't do, and how to use them. Course charge: $75. Equipment charge: $10. Jan.14, 21, 28, Sats. 7:00-10:30pm. Joseph Saimders is Professor of Computer Science at New Urban University. He has over twelve years of experience in the computer field. \n\nStop Smoking Do you want to stop smoking? Have you already tried to stop and failed? Now it's the time to stop smoking using the latest methods. You can stop smoking, and this twelve-hour course will help you do it. Course charge: $30. Jan. 4, 11, 18, 25, Wedns. 4:00-7:00pm. Dr John Goode is a practicing psychologist who has helped hundreds of people stop smoking. \n\nTyping This course on week-days is for those who want to learn to type, as well as those who want to improve their typing. You are tested in the first class and practice at one of eight different skill levels. This allows you to learn at your own speed. Each program lasts 20 hours. Bring your own paper. Course charge: $125. Material charge: $25. Two hours each evening for two weeks. New classes begin every two weeks. This course is taught by a number of business education teachers who have successfully taught typing courses before. \n\nOil painting Oil paint is easy to use once you learn the basics. When you enroll at this oil painting course, you will learn to draw and learn to paint using many oil painting techniques under complete guidance and instruction. Together with the teacher's knowledge and your passion-we'll unlock your creativity and develop your potential! Course charge: $35. Jan. 5, 12, 19, 26, Thurs. 2:00-5:00 pm. Ralf Ericssion has taught beginners to masters and he has learned that everything builds on just a few basic concepts that he will show you here. \n\nSinging This course shows you how to deliver an accomplished vocal performance on stage and in the studio. Develop your vocal talents with professional warm-up routines and learn vocal techniques to gain confidence in your performance. You'll learn to perform classic songs before exploring your own songwriting ideas with a tutor. And finally you'll get the chance to record in a professional studio. Singing tuition may be in groups or one-to-one. We have Choral singing, Gospel singing, Folk singing and many other styles of song. All styles are welcome and no previous experience is required. Please read on for course contents and reviews from our students. Course charge: $90. Jan. 10, 12, 17, 19, Tues. & Thurs. 5:30-8:30pm. Peter Syrus is a Grammy award winning tutor.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43046\": \"What does a student need to take the photography course?\"\n },\n {\n \"43047\": \"What state is the school in?\"\n },\n {\n \"43048\": \"What credentials does the photography instructor have?\"\n },\n {\n \"43049\": \"Does she teach a class on Fridays?\"\n },\n {\n \"43050\": \"Which days are the class?\"\n },\n {\n \"43051\": \"Is oil painting difficult to learn?\"\n },\n {\n \"43052\": \"What credentials does the oil painting teacher have?\"\n },\n {\n \"43053\": \"What does a beginner need to find his potential in this course?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43046\",\n \"answer\": \"Their own 35mm camera\"\n },\n {\n \"question_id\": \"43047\",\n \"answer\": \"Illinois\"\n },\n {\n \"question_id\": \"43048\",\n \"answer\": \"Professional work has appeared in many magazines\"\n },\n {\n \"question_id\": \"43049\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43050\",\n \"answer\": \"Tues & Thurs\"\n },\n {\n \"question_id\": \"43051\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43052\",\n \"answer\": \"He has taught beginners to masters\"\n },\n {\n \"question_id\": \"43053\",\n \"answer\": \"Creativity\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Valentine's Day was coming. Helen felt hurt and lonely because this was her first Valentine's Day after the divorce . \n\nHelen's twelve-year-old son, Jack, looked at his mother, knowing that this was a difficult time for both of them. In order to make his mother happy, he prepared a present, and handed it to her on Valentine's Day. \n\nIt was a beautiful gift package .Helen couldn't believe what was happening. She opened it and took out a lovely card and a small box. \n\n\"Now,\" he said, \"read the card.\" It read as follows: \n\n\"I know that this isn't easy for you because it has been a hard year for both of us. I know that Valentine's Day is a special day for people in love. I want you to know that I love you. I know that Valentines are supposed to get chocolate. I went to the store today to buy some for you. Luckily, I got the last piece. I told the clerk it was just perfect.\" \n\nHelen stood there for a moment and looked at her son. Her eyes sparkled in the light as tears formed in each corner. Jack knew he had done the right thing. Slowly she opened the small box, careful not to tear the paper. She would never forget the moment. She found a chocolate heart that was broken into pieces along with a note: \n\n\"I am so sorry that Dad left us, Mom. And all you were left with was a broken heart. But I just want you to know we still have each other. \n\nHappy Valentine's Day! \n\nYour son, \n\nJack\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47871\": \"Had Jack done the right thing?\"\n },\n {\n \"47872\": \"what celebration was about to happen?\"\n },\n {\n \"47873\": \"why was Helen upset?\"\n },\n {\n \"47874\": \"how old is Jack?\"\n },\n {\n \"47875\": \"was it a messy package?\"\n },\n {\n \"47876\": \"what did he tell her to do?\"\n },\n {\n \"47877\": \"what did the card say about the chocolate?\"\n },\n {\n \"47878\": \"what did he say to the clerk?\"\n },\n {\n \"47879\": \"did Helen cry?\"\n },\n {\n \"47880\": \"why did she open the box slowly?\"\n },\n {\n \"47881\": \"what was inside?\"\n },\n {\n \"47882\": \"and a?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47871\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47872\",\n \"answer\": \"Valentine's Day\"\n },\n {\n \"question_id\": \"47873\",\n \"answer\": \"this was her first Valentine's Day after the divorce\"\n },\n {\n \"question_id\": \"47874\",\n \"answer\": \"twelve\"\n },\n {\n \"question_id\": \"47875\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47876\",\n \"answer\": \"read the card\"\n },\n {\n \"question_id\": \"47877\",\n \"answer\": \"Iti was the last piece\"\n },\n {\n \"question_id\": \"47878\",\n \"answer\": \"it was just perfect\"\n },\n {\n \"question_id\": \"47879\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47880\",\n \"answer\": \"to not tear the paper.\"\n },\n {\n \"question_id\": \"47881\",\n \"answer\": \"a chocolate heart\"\n },\n {\n \"question_id\": \"47882\",\n \"answer\": \"a note\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Today, bicycles are elegantly simple machines that are common around the world. Many people ride bicycles for recreation, whereas others use them as a means of transportation. The first bicycle was invented in Germany in 1818. Because it was made of wood, it wasn't very strong nor did it have pedals .Riders moved it by pushing their feet against the ground. \n\nIn 1839, Kirkpatrick Macmillan, a Scottish blacksmith, invented a much better bicycle. Macmillan's machine had iron-covered wheels to keep them from getting worn down. He also used foot-operated levers, similar to pedals, so his bicycle could be ridden at a quick pace. It didn't look much like the modem bicycle, though, because its back wheel was substantially larger than its front wheel. Although Macmillan's bicycles could be ridden easily, they were never produced in large numbers. \n\nIn 1861, Frenchman Pierre Michaux and his brother Ernest invented a bicycle with an improved pedal mechanism. They called their bicycle a velocipede,but most people called it a \"bone shaker\" because of the effect of the wood and iron frame. Despite the impolite nickname, the velocipede was a hit. After a few years, the Michaux family was making hundreds of the machines annually, mostly for fun-seeking young people. \n\nTen years later, James Starley , an English inventor, made several innovations that revolutionized bicycle design. He made the front wheel many times larger than the back wheel, put a gear on the pedals to make the bicycle more efficient,and lightened the wheels by using wire spokes. Although this bicycle was much lighter and less tiring to ride, it was still clumsy, extremely top-heavy,and ridden mostly for entertainment. \n\nIt wasn't until 1874 that the first truly modern bicycle appeared on the scene. Invented by another Englishman, H. J. Lawson, the safety bicycle would look familiar to today's cyclists. The safety bicycle had equal-sized wheels, which made it easier to ride. Lawson also attached a chain to the pedals to drive the back wheel. By 1893,the safety bicycle had been further improved with air-filled rubber tires, a diamond-shaped frame, and easy braking. With the improvements provided by Lawson;bicycles became extremely popular and useful for transportation. Today, they are built, used, and enjoyed all over the world.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4395\": \"What is one of the common vehicle in the world?\"\n },\n {\n \"4396\": \"When was it invented?\"\n },\n {\n \"4397\": \"where?\"\n },\n {\n \"4398\": \"Who made a better one then?\"\n },\n {\n \"4399\": \"Who was he?\"\n },\n {\n \"4400\": \"Where was he from?\"\n },\n {\n \"4401\": \"How was his wheels?\"\n },\n {\n \"4402\": \"How about the levers?\"\n },\n {\n \"4403\": \"Is it similar to pedals we have today?\"\n },\n {\n \"4404\": \"Was that bicycle fast enough?\"\n },\n {\n \"4405\": \"Did it resemble anything we have today?\"\n },\n {\n \"4406\": \"Who made next improvements?\"\n },\n {\n \"4407\": \"Where was he from?\"\n },\n {\n \"4408\": \"What he improved?\"\n },\n {\n \"4409\": \"Which year was that?\"\n },\n {\n \"4410\": \"Then who made more improvements?\"\n },\n {\n \"4411\": \"What he did?\"\n },\n {\n \"4412\": \"When did the bicycle looked modern day one?\"\n },\n {\n \"4413\": \"Who invented that?\"\n },\n {\n \"4414\": \"When the air filled tires appeared?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4395\",\n \"answer\": \"bicycles\"\n },\n {\n \"question_id\": \"4396\",\n \"answer\": \"1818\"\n },\n {\n \"question_id\": \"4397\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"4398\",\n \"answer\": \"Kirkpatrick Macmillan\"\n },\n {\n \"question_id\": \"4399\",\n \"answer\": \"blacksmith\"\n },\n {\n \"question_id\": \"4400\",\n \"answer\": \"Scottland\"\n },\n {\n \"question_id\": \"4401\",\n \"answer\": \"iron-covered\"\n },\n {\n \"question_id\": \"4402\",\n \"answer\": \"foot-operated\"\n },\n {\n \"question_id\": \"4403\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4404\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4405\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4406\",\n \"answer\": \"Pierre Michaux\"\n },\n {\n \"question_id\": \"4407\",\n \"answer\": \"Frence\"\n },\n {\n \"question_id\": \"4408\",\n \"answer\": \"pedal mechanism\"\n },\n {\n \"question_id\": \"4409\",\n \"answer\": \"1861\"\n },\n {\n \"question_id\": \"4410\",\n \"answer\": \"James Starley\"\n },\n {\n \"question_id\": \"4411\",\n \"answer\": \"improved design\"\n },\n {\n \"question_id\": \"4412\",\n \"answer\": \"1874\"\n },\n {\n \"question_id\": \"4413\",\n \"answer\": \"H. J. Lawson\"\n },\n {\n \"question_id\": \"4414\",\n \"answer\": \"1893\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 had my first job at a local diner called the Buttercup Bakery when I was 22. I worked there for seven years and learned so many lessons, especially from a fellow waitress Helen who had incredible self-respect and did what she loved--serving people. She made everyone smile and feel good, customers and co-workers alike. \n\nBeing a waitress changed my life. One of my regular customers was Fred Hasbrook, an electronics salesman. Thanks to the newfound confidence I picked up from Helen, I dreamed of having my own restaurant. But when I called my parents to ask for a loan, they said, \"We just don't have the money.\" \n\nThe next day, I shared my dream with him and said, \"Fred, I know I can do more if somebody would just have faith in me.\" \n\nHe walked over to some of the other diner regulars and the next day handed me checks totaling $50,000--along with a note that I have to this day. It reads, \"The only collateral on this loan is my trust in your honesty as a person. Good people with a dream should have the opportunity to make that dream come true.\" \n\nI took the checks to Merrill Lynch--the first time I had ever entered a brokerage house--where the money was invested for me. I continued working at the Buttercup, making plans for the restaurant I would open. My investments soured, though, and I lost the money. \n\nAfter great deliberation I decided to apply for a job at Merrill Lynch. Even though I had no experience, I was hired and ended up becoming a pretty good broker. Eventually I paid back Fred and my customers the $50,000, plus 14-percent annual interest. Five years later, I was able to open my own firm. \n\nI got a thank-you note from Fred, which will be imprinted on my head forever. He had been sick and wrote that my check had helped cover his mounting medical bills. His letter read, \"That loan may have been one of the best investments that I will ever make.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73132\": \"Where does the narrator work?\"\n },\n {\n \"73133\": \"How old was she when she worked there?\"\n },\n {\n \"73134\": \"Who helped her become a good person and a positive person?\"\n },\n {\n \"73135\": \"Name one of their regular customer?\"\n },\n {\n \"73136\": \"Did he support her in her dream?\"\n },\n {\n \"73137\": \"What about her parents?\"\n },\n {\n \"73138\": \"What was the amount check that he handed her?\"\n },\n {\n \"73139\": \"Who invested the money for her?\"\n },\n {\n \"73140\": \"Did she get more money or she lost?\"\n },\n {\n \"73141\": \"Was Fred happy of her accomplishments at the end?\"\n },\n {\n \"73142\": \"Where did she work then?\"\n },\n {\n \"73143\": \"How much interest did she pay back to Fred?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73132\",\n \"answer\": \"Buttercup Bakery\"\n },\n {\n \"question_id\": \"73133\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"73134\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"73135\",\n \"answer\": \"Fred Hasbrook\"\n },\n {\n \"question_id\": \"73136\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73137\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73138\",\n \"answer\": \"$50,000\"\n },\n {\n \"question_id\": \"73139\",\n \"answer\": \"Merrill Lynch\"\n },\n {\n \"question_id\": \"73140\",\n \"answer\": \"She lost it\"\n },\n {\n \"question_id\": \"73141\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73142\",\n \"answer\": \"Merrill Lynch\"\n },\n {\n \"question_id\": \"73143\",\n \"answer\": \"14-percent annual interest\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII. \n\nBreakfast on Sunday morning was an hour later than on week-days, and Priscilla, who usually made no public appearance before luncheon, honoured it by her presence. Dressed in black silk, with a ruby cross as well as her customary string of pearls round her neck, she presided. An enormous Sunday paper concealed all but the extreme pinnacle of her coiffure from the outer world. \n\n\"I see Surrey has won,\" she said, with her mouth full, \"by four wickets. The sun is in Leo: that would account for it!\" \n\n\"Splendid game, cricket,\" remarked Mr. Barbecue-Smith heartily to no one in particular; \"so thoroughly English.\" \n\nJenny, who was sitting next to him, woke up suddenly with a start. \"What?\" she said. \"What?\" \n\n\"So English,\" repeated Mr. Barbecue-Smith. \n\nJenny looked at him, surprised. \"English? Of course I am.\" \n\nHe was beginning to explain, when Mrs. Wimbush vailed her Sunday paper, and appeared, a square, mauve-powdered face in the midst of orange splendours. \"I see there's a new series of articles on the next world just beginning,\" she said to Mr. Barbecue-Smith. \"This one's called 'Summer Land and Gehenna.'\" \n\n\"Summer Land,\" echoed Mr. Barbecue-Smith, closing his eyes. \"Summer Land. A beautiful name. Beautiful--beautiful.\" \n\nMary had taken the seat next to Denis's. After a night of careful consideration she had decided on Denis. He might have less talent than Gombauld, he might be a little lacking in seriousness, but somehow he was safer. \n\n\"Are you writing much poetry here in the country?\" she asked, with a bright gravity. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3730\": \"Who came for breakfast on Sunday?\"\n },\n {\n \"3731\": \"What was she doing?\"\n },\n {\n \"3732\": \"Did she say anything about her reading?\"\n },\n {\n \"3733\": \"What did she say\"\n },\n {\n \"3734\": \"Which meant what?\"\n },\n {\n \"3735\": \"Were there many people at the table?\"\n },\n {\n \"3736\": \"Who was next to Denis?\"\n },\n {\n \"3737\": \"Why?\"\n },\n {\n \"3738\": \"Because of why?\"\n },\n {\n \"3739\": \"Safer than who?\"\n },\n {\n \"3740\": \"What did she remark to Denis?\"\n },\n {\n \"3741\": \"Are they in the city?\"\n },\n {\n \"3742\": \"Who likes cricket?\"\n },\n {\n \"3743\": \"Why?\"\n },\n {\n \"3744\": \"What does Priscilla always wear around her neck?\"\n },\n {\n \"3745\": \"Who was startled awake?\"\n },\n {\n \"3746\": \"What is Priscilla's last name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3730\",\n \"answer\": \"Priscilla\"\n },\n {\n \"question_id\": \"3731\",\n \"answer\": \"reading the paper\"\n },\n {\n \"question_id\": \"3732\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3733\",\n \"answer\": \"I see Surrey has won\"\n },\n {\n \"question_id\": \"3734\",\n \"answer\": \"cricket match\"\n },\n {\n \"question_id\": \"3735\",\n \"answer\": \"A few\"\n },\n {\n \"question_id\": \"3736\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"3737\",\n \"answer\": \"she had decided on Denis\"\n },\n {\n \"question_id\": \"3738\",\n \"answer\": \"he was safer\"\n },\n {\n \"question_id\": \"3739\",\n \"answer\": \"Gombauld\"\n },\n {\n \"question_id\": \"3740\",\n \"answer\": \"Are you writing much poetry\"\n },\n {\n \"question_id\": \"3741\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3742\",\n \"answer\": \"Mr. Barbecue-Smith\"\n },\n {\n \"question_id\": \"3743\",\n \"answer\": \"because it is so thoroughly English\"\n },\n {\n \"question_id\": \"3744\",\n \"answer\": \"string of pearls\"\n },\n {\n \"question_id\": \"3745\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"3746\",\n \"answer\": \"Wimbush\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 LXVIII. In which Harry goes westward \n\nOur tender hearts are averse to all ideas and descriptions of parting; and I shall therefore say nothing of Harry Warrington's feelings at taking leave of his brother and friends. Were not thousands of men in the same plight? Had not Mr. Wolfe his mother to kiss (his brave father had quitted life during his son's absence on the glorious Louisbourg campaign), and his sweetheart to clasp in a farewell embrace? Had not stout Admiral Holmes, before sailing westward with his squadron, The Somerset, The Terrible, The Northumberland, The Royal William, The Trident, The Diana, The Seahorse--his own flag being hoisted on board The Dublin--to take leave of Mrs. and the Misses Holmes? Was Admiral Saunders, who sailed the day after him, exempt from human feeling? Away go William and his crew of jovial sailors, ploughing through the tumbling waves, and poor Black-eyed Susan on shore watches the ship as it dwindles in the sunset. \n\nIt dwindles in the West. The night falls darkling over the ocean. They are gone: but their hearts are at home yet a while. In silence, with a heart inexpressibly soft and tender, how each man thinks of those he has left! What a chorus of pitiful prayer rises up to the Father, at sea and on shore, on that parting night at home by the vacant bedside, where the wife kneels in tears; round the fire, where the mother and children together pour out their supplications: or on deck, where the seafarer looks up to the stars of heaven, as the ship cleaves through the roaring midnight waters! To-morrow the sun rises upon our common life again, and we commence our daily task of toil and duty. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8344\": \"Is someone leaving someone?\"\n },\n {\n \"8345\": \"Who?\"\n },\n {\n \"8346\": \"Who is he leaving?\"\n },\n {\n \"8347\": \"Did anyone else of his family go for a missin too?\"\n },\n {\n \"8348\": \"Where did his father go?\"\n },\n {\n \"8349\": \"Who went for the Lousboug campaign?\"\n },\n {\n \"8350\": \"What his girlfriend did?\"\n },\n {\n \"8351\": \"Where was the flag?\"\n },\n {\n \"8352\": \"Was anyone devoid of emotions?\"\n },\n {\n \"8353\": \"Who were with William?\"\n },\n {\n \"8354\": \"Where were they?\"\n },\n {\n \"8355\": \"Did anyone have out of ordinary eyes?\"\n },\n {\n \"8356\": \"Who?\"\n },\n {\n \"8357\": \"Where were they at night?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"8344\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8345\",\n \"answer\": \"Harry Warrington\"\n },\n {\n \"question_id\": \"8346\",\n \"answer\": \"his brother and friends\"\n },\n {\n \"question_id\": \"8347\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"8348\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"8349\",\n \"answer\": \"Mr. Wolfe\"\n },\n {\n \"question_id\": \"8350\",\n \"answer\": \"clasp in a farewell embrace\"\n },\n {\n \"question_id\": \"8351\",\n \"answer\": \"hoisted on board The Dublin\"\n },\n {\n \"question_id\": \"8352\",\n \"answer\": \"each man thinks of those he has left\"\n },\n {\n \"question_id\": \"8353\",\n \"answer\": \"his crew of jovial sailors\"\n },\n {\n \"question_id\": \"8354\",\n \"answer\": \"ploughing through the tumbling waves\"\n },\n {\n \"question_id\": \"8355\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"8356\",\n \"answer\": \"the wife\"\n },\n {\n \"question_id\": \"8357\",\n \"answer\": \"by the vacant bedside\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 UEFA European Championship (known informally as the Euros) is the primary association football competition contested by the senior men's national teams of the members of the Union of European Football Associations (UEFA), determining the continental champion of Europe. Held every four years since 1960, in the even-numbered year between World Cup tournaments, it was originally called the UEFA European Nations' Cup, changing to the current name in 1968. Starting with the 1996 tournament, specific championships are often referred to in the form \"UEFA Euro [year]\"; this format has since been retroactively applied to earlier tournaments. \n\nPrior to entering the tournament all teams other than the host nations (which qualify automatically) compete in a qualifying process. The championship winners earn the opportunity to compete in the following FIFA Confederations Cup, but are not obliged to do so. \n\nThe 15 European Championship tournaments have been won by ten different national teams: Germany and Spain each have won three titles, France has two titles, and Soviet Union, Italy, Czechoslovakia, Netherlands, Denmark, Greece and Portugal have won one title each. To date, Spain is the only team in history to have won consecutive titles, doing so in 2008 and 2012. It is the second most watched football tournament in the world after the FIFA World Cup. The Euro 2012 final was watched by a global audience of around 300 million.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84133\": \"Does every single team have to fight to qualify?\"\n },\n {\n \"84134\": \"Who doesn't?\"\n },\n {\n \"84135\": \"Why not?\"\n },\n {\n \"84136\": \"What is the event called?\"\n },\n {\n \"84137\": \"Does it have a less formal name?\"\n },\n {\n \"84138\": \"What can they do if they win?\"\n },\n {\n \"84139\": \"Is that mandatory?\"\n },\n {\n \"84140\": \"What sport is this?\"\n },\n {\n \"84141\": \"What continent is it for?\"\n },\n {\n \"84142\": \"Is it every year?\"\n },\n {\n \"84143\": \"How often then?\"\n },\n {\n \"84144\": \"When did it begin?\"\n },\n {\n \"84145\": \"What did it used to be named?\"\n },\n {\n \"84146\": \"When did it become a different name?\"\n },\n {\n \"84147\": \"What began in 1996?\"\n },\n {\n \"84148\": \"How many separate groups have been victorious in it?\"\n },\n {\n \"84149\": \"Who has had the most victories?\"\n },\n {\n \"84150\": \"Did anyone ever have victory twice in a row?\"\n },\n {\n \"84151\": \"Who?\"\n },\n {\n \"84152\": \"How many people saw it in 2012?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"84133\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84134\",\n \"answer\": \"the host nation\"\n },\n {\n \"question_id\": \"84135\",\n \"answer\": \"because they qualify automatically\"\n },\n {\n \"question_id\": \"84136\",\n \"answer\": \"The UEFA European Championship\"\n },\n {\n \"question_id\": \"84137\",\n \"answer\": \"the Euros\"\n },\n {\n \"question_id\": \"84138\",\n \"answer\": \"compete in the FIFA Confederations Cup\"\n },\n {\n \"question_id\": \"84139\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84140\",\n \"answer\": \"football\"\n },\n {\n \"question_id\": \"84141\",\n \"answer\": \"Europe\"\n },\n {\n \"question_id\": \"84142\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84143\",\n \"answer\": \"every four years\"\n },\n {\n \"question_id\": \"84144\",\n \"answer\": \"1960\"\n },\n {\n \"question_id\": \"84145\",\n \"answer\": \"the UEFA European Nations' Cup\"\n },\n {\n \"question_id\": \"84146\",\n \"answer\": \"1968\"\n },\n {\n \"question_id\": \"84147\",\n \"answer\": \"championships are often referred to in the form \\\"UEFA Euro [year]\"\n },\n {\n \"question_id\": \"84148\",\n \"answer\": \"ten\"\n },\n {\n \"question_id\": \"84149\",\n \"answer\": \"Germany and Spain\"\n },\n {\n \"question_id\": \"84150\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84151\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"84152\",\n \"answer\": \"around 300 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 Art Deco, sometimes referred to as Deco, is a style of visual arts, architecture and design that first appeared in France just before World War I. Art Deco influenced the design of buildings, furniture, jewellery, fashion, cars, movie theatres, trains, ocean liners, and everyday objects such as radios and vacuum cleaners. It took its name, short for \"Arts Décoratifs\", from the Exposition Internationale des Arts Décoratifs et Industriels Modernes (International Exhibition of Modern Decorative and Industrial Arts) held in Paris in 1925. It combined modernist styles with fine craftsmanship and rich materials. During its heyday, Art Deco represented luxury, glamour, exuberance, and faith in social and technological progress. \n\nArt Deco was a pastiche of many different styles, sometimes contradictory, united by a desire to be modern. From its outset, Art Deco was influenced by the bold geometric forms of Cubism; the bright colors of Fauvism and of the Ballets Russes; the updated craftsmanship of the furniture of the eras of Louis Philippe and Louis XVI; and the exotic styles of China and Japan, India, Persia, ancient Egypt and Maya art. It featured rare and expensive materials, such as ebony and ivory, and exquisite craftsmanship. The Chrysler Building and other skyscrapers of New York built during the 1920s and 1930s are monuments of the Art Deco style.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79811\": \"Name something Art Deco had an effect on?\"\n },\n {\n \"79812\": \"Any common household items?\"\n },\n {\n \"79813\": \"Like what?\"\n },\n {\n \"79814\": \"That style merged fine craftmanship with what?\"\n },\n {\n \"79815\": \"And what else?\"\n },\n {\n \"79816\": \"What monument is considered Art Deco in New York?\"\n },\n {\n \"79817\": \"Just the Chrysler Building?\"\n },\n {\n \"79818\": \"What is the long, proper name for Art Deco?\"\n },\n {\n \"79819\": \"What year did the exhibition that the term came from happen?\"\n },\n {\n \"79820\": \"Where?\"\n },\n {\n \"79821\": \"During it's prime, what's something Art Deco stood for?\"\n },\n {\n \"79822\": \"What else?\"\n },\n {\n \"79823\": \"Was Art Deco formed by lots of different styles?\"\n },\n {\n \"79824\": \"Did they sometimes contradict each other?\"\n },\n {\n \"79825\": \"What brought them together?\"\n },\n {\n \"79826\": \"From the start, it was influenced by what ind of forms?\"\n },\n {\n \"79827\": \"Known as?\"\n },\n {\n \"79828\": \"What stood out about Fauvism?\"\n },\n {\n \"79829\": \"Who was this in the time of?\"\n },\n {\n \"79830\": \"Did the style incorporate ebony and ivory?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79811\",\n \"answer\": \"building design\"\n },\n {\n \"question_id\": \"79812\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79813\",\n \"answer\": \"radios and vacuum cleaners\"\n },\n {\n \"question_id\": \"79814\",\n \"answer\": \"modernist styles\"\n },\n {\n \"question_id\": \"79815\",\n \"answer\": \"rich materials\"\n },\n {\n \"question_id\": \"79816\",\n \"answer\": \"The Chrysler Building\"\n },\n {\n \"question_id\": \"79817\",\n \"answer\": \"other skyscrapers built during the 1920s and 1930s\"\n },\n {\n \"question_id\": \"79818\",\n \"answer\": \"Arts D\\u00e9coratifs\"\n },\n {\n \"question_id\": \"79819\",\n \"answer\": \"1925\"\n },\n {\n \"question_id\": \"79820\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"79821\",\n \"answer\": \"luxury\"\n },\n {\n \"question_id\": \"79822\",\n \"answer\": \"glamour\"\n },\n {\n \"question_id\": \"79823\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79824\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79825\",\n \"answer\": \"a desire to be modern\"\n },\n {\n \"question_id\": \"79826\",\n \"answer\": \"bold geometric forms\"\n },\n {\n \"question_id\": \"79827\",\n \"answer\": \"Cubism\"\n },\n {\n \"question_id\": \"79828\",\n \"answer\": \"the bright colors\"\n },\n {\n \"question_id\": \"79829\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79830\",\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 Milk is a white liquid produced by the mammary glands of mammals. It is the primary source of nutrition for infant mammals (including humans who breastfeed) before they are able to digest other types of food. Early-lactation milk contains colostrum, which carries the mother's antibodies to its young and can reduce the risk of many diseases. It contains many other nutrients including protein and lactose. \n\nAs an agricultural product, milk is extracted from non-human mammals during or soon after pregnancy. Dairy farms produced about 730 million tonnes of milk in 2011, from 260 million dairy cows. India is the world's largest producer of milk, and is the leading exporter of skimmed milk powder, yet it exports few other milk products. The ever increasing rise in domestic demand for dairy products and a large demand-supply gap could lead to India being a net importer of dairy products in the future. The United States, India, China and Brazil are the world's largest exporters of milk and milk products. China and Russia were the world's largest importers of milk and milk products until 2016 when both countries became self-sufficient, contributing to a worldwide glut of milk. \n\nThroughout the world, there are more than six billion consumers of milk and milk products. Over 750 million people live in dairy farming households.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27530\": \"What contains antibodies?\"\n },\n {\n \"27531\": \"Does it have other nutrients?\"\n },\n {\n \"27532\": \"like what?\"\n },\n {\n \"27533\": \"any others mentioned?\"\n },\n {\n \"27534\": \"what?\"\n },\n {\n \"27535\": \"How many people consume milk worldwide?\"\n },\n {\n \"27536\": \"who is the largest producer?\"\n },\n {\n \"27537\": \"what to they export the most of?\"\n },\n {\n \"27538\": \"How many people live in dairy farming households?\"\n },\n {\n \"27539\": \"and how much is produced?\"\n },\n {\n \"27540\": \"from how many cows?\"\n },\n {\n \"27541\": \"Who uses milk as their primary source of nutrition?\"\n },\n {\n \"27542\": \"what does colostrum do for they risk of diseases?\"\n },\n {\n \"27543\": \"Is colostrum found in mature milk?\"\n },\n {\n \"27544\": \"when is milk extracted from mammals?\"\n },\n {\n \"27545\": \"how do human infants get milk?\"\n },\n {\n \"27546\": \"where is the milk made?\"\n },\n {\n \"27547\": \"is the demand rising for dairy?\"\n },\n {\n \"27548\": \"who is on their way to be a net importer?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27530\",\n \"answer\": \"colostrum,\"\n },\n {\n \"question_id\": \"27531\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27532\",\n \"answer\": \"protein\"\n },\n {\n \"question_id\": \"27533\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27534\",\n \"answer\": \"lactose\"\n },\n {\n \"question_id\": \"27535\",\n \"answer\": \"more than six billion\"\n },\n {\n \"question_id\": \"27536\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"27537\",\n \"answer\": \"skimmed milk powder\"\n },\n {\n \"question_id\": \"27538\",\n \"answer\": \"Over 750 million\"\n },\n {\n \"question_id\": \"27539\",\n \"answer\": \"about 730 million tonnes of milk in 2011\"\n },\n {\n \"question_id\": \"27540\",\n \"answer\": \"260 million\"\n },\n {\n \"question_id\": \"27541\",\n \"answer\": \"infants\"\n },\n {\n \"question_id\": \"27542\",\n \"answer\": \"can reduce it\"\n },\n {\n \"question_id\": \"27543\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"27544\",\n \"answer\": \"during or soon after pregnancy\"\n },\n {\n \"question_id\": \"27545\",\n \"answer\": \"they breastfeed\"\n },\n {\n \"question_id\": \"27546\",\n \"answer\": \"in the mammary glands\"\n },\n {\n \"question_id\": \"27547\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27548\",\n \"answer\": \"India\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Susie Wolff put the disappointments of Silverstone behind her on Friday with an impressive run in the first free practice session ahead of Sunday's German Grand Prix. \n\nThe Williams development driver only managed four laps during practice at the British Grand Prix a fortnight ago before engine problems curtailed her involvement. \n\nBut it was a happier story at Hockenheim as the 31-year-old Scot completed 20 laps finishing a highly respectable 15th. \n\nHer best lap time of one minute 20.769 seconds was just 0.227 seconds behind Williams' driver Felipe Massa who finished the session in 11th place. \n\nThings had not looked so promising for Wolff earlier in the day as she crawled round her out lap in first gear before returning to the pits. \n\nThankfully, it wasn't long before the mechanical problems were resolved and she was back on track -- even briefly clocking the fastest lap of the session. \n\nWolff has been a development driver for Williams since 2012 and is the first female driver to participate in a F1 race weekend since Italy's Giovanna Amati attempted to qualify for three races during the 1992 season. \n\nLewis Hamilton, speaking ahead of his recent victory at Silverstone, said Wolff's participation at two practice sessions this season was fully deserved. \n\n\"She's very, very talented,\" said the Mercedes driver, who raced against her in his junior career in karting and Formula Renault. \"It's really cool to see her in a Formula One car. \n\n\"I didn't race against many girls. Susie was one of the very few, if not the only one, I raced against. We shared a podium together a couple of times.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73138\": \"Who is Susie Wolff?\"\n },\n {\n \"73139\": \"How long has she worked for Willams?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73138\",\n \"answer\": \"A Williams development driver.\"\n },\n {\n \"question_id\": \"73139\",\n \"answer\": \"since 2012\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Real Madrid will name Jose Mourinho as their new coach on Monday after the Spanish giants confirmed they had agreed a compensation package with his current club Inter Milan. \n\nMourinho, who led the Italian Serie A side to an unprecedented treble this season, will now be released from his San Siro contract -- which ran until 2012. \n\nThe Portuguese, who has guided both Porto and Inter to Champions League glory, will be presented at 1:00pm local time on Monday in succession to Manuel Pellegrini -- who was sacked on Wednesday. \n\nBlog: Mourinho will bring magic to Madrid \n\nMourinho reportedly had a release clause which meant Inter were to receive 16 million euros should he depart the club. \n\nA joint statement from the two clubs read: \"Presidents Massimo Moratti and Florentino Perez met on Friday and, In light of the excellent and constructive relations between the two clubs, an agreement was reached on the contractual clause that binds Jose Mourinho to FC Internazionale. \n\n\"The time and the manner by which the agreement will be honored has been defined. Massimo Moratti thanks Florentino Perez for his willingness to join him in Milan and for his courtesy, which confirms the strong links between the two clubs.\" \n\nMoratti had earlier told reporters that he was unwilling to compromise with Real on the subject of the release clause. \n\n\"Mourinho has been spectacular, intelligent, brave and we acknowledge that,\" said Moratti. \"This doesn't take away the fact that there is still an issue regarding the negotiations with Mourinho and with the club that wants him. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72570\": \"Who is the new leader?\"\n },\n {\n \"72571\": \"Who will be the new coach?\"\n },\n {\n \"72572\": \"For what team?\"\n },\n {\n \"72573\": \"Where is he from?\"\n },\n {\n \"72574\": \"What other teams has he coached?\"\n },\n {\n \"72575\": \"Was he free to look for a new job?\"\n },\n {\n \"72576\": \"Who is he going to replace?\"\n },\n {\n \"72577\": \"What happened to him?\"\n },\n {\n \"72578\": \"What country is he moving to?\"\n },\n {\n \"72579\": \"Until when did his former agreement last?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"72570\",\n \"answer\": \"Florentino Perez\"\n },\n {\n \"question_id\": \"72571\",\n \"answer\": \"Jose Mourinho\"\n },\n {\n \"question_id\": \"72572\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"72573\",\n \"answer\": \"Portugual\"\n },\n {\n \"question_id\": \"72574\",\n \"answer\": \"Porto and Inter\"\n },\n {\n \"question_id\": \"72575\",\n \"answer\": \"free with clause\"\n },\n {\n \"question_id\": \"72576\",\n \"answer\": \"Manuel Pellegrini\"\n },\n {\n \"question_id\": \"72577\",\n \"answer\": \"sacked\"\n },\n {\n \"question_id\": \"72578\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"72579\",\n \"answer\": \"2012\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Nashville is the capital and largest city of the U.S. state of Tennessee and the seat of Davidson County. It is located on the Cumberland River in the north central part of the state. The city is a center for the music, healthcare, publishing, banking and transportation industries, and home to numerous colleges and universities. It is known as a center of the country music industry, earning it the nickname \"Music City, U.S.A.\" \n\nSince 1963, Nashville has had a consolidated city-county government, which includes six smaller municipalities in a two-tier system. The city is governed by a mayor, a vice-mayor, and a 40-member Metropolitan Council; 35 of the members are elected from single-member districts, while the other five are elected at-large. Reflecting the city's position in state government, Nashville is home to the Tennessee Supreme Court's courthouse for Middle Tennessee. According to 2016 estimates from the U.S. Census Bureau, the total consolidated city-county population stood at 684,410. The \"balance\" population, which excludes semi-independent municipalities within Nashville, was 660,388. The 2015 population of the entire 13-county Nashville metropolitan area was 1,830,345, making it the largest metropolitan statistical area in the state. The 2015 population of the Nashville-Davidson–Murfreesboro–Columbia combined statistical area, a larger trade area, was 1,951,644.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79398\": \"what is the capital of Tennessee\"\n },\n {\n \"79399\": \"what is the county seat\"\n },\n {\n \"79400\": \"what kind of government is it run\"\n },\n {\n \"79401\": \"what was the population in 2016\"\n },\n {\n \"79402\": \"was the total population 1,830,345 in 2015\"\n },\n {\n \"79403\": \"what was it nicknamed\"\n },\n {\n \"79404\": \"how many members were elected from single member districts\"\n },\n {\n \"79405\": \"was there a larger trade area in 2015\"\n },\n {\n \"79406\": \"what was the balance population\"\n },\n {\n \"79407\": \"how many counties are there\"\n },\n {\n \"79408\": \"what was the largest metropolitan area of the state\"\n },\n {\n \"79409\": \"where is Nashville located\"\n },\n {\n \"79410\": \"what is it known as\"\n },\n {\n \"79411\": \"what is the center for\"\n },\n {\n \"79412\": \"Nashville is home to what, reflecting the cities position in local government\"\n },\n {\n \"79413\": \"what was the larger trade area\"\n },\n {\n \"79414\": \"Is Nashville the capital of Arizona\"\n },\n {\n \"79415\": \"does it have a 2 teir system?\"\n },\n {\n \"79416\": \"how many are on the council\"\n },\n {\n \"79417\": \"who is it governed by\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79398\",\n \"answer\": \"Nashville\"\n },\n {\n \"question_id\": \"79399\",\n \"answer\": \"Nashville\"\n },\n {\n \"question_id\": \"79400\",\n \"answer\": \"consolidated city-county government\"\n },\n {\n \"question_id\": \"79401\",\n \"answer\": \"684,410\"\n },\n {\n \"question_id\": \"79402\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79403\",\n \"answer\": \"\\\"Music City, U.S.A.\\\"\"\n },\n {\n \"question_id\": \"79404\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"79405\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79406\",\n \"answer\": \"660,388\"\n },\n {\n \"question_id\": \"79407\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"79408\",\n \"answer\": \"Nashville metropolitan area\"\n },\n {\n \"question_id\": \"79409\",\n \"answer\": \"on the Cumberland River\"\n },\n {\n \"question_id\": \"79410\",\n \"answer\": \"a center of the country music industry\"\n },\n {\n \"question_id\": \"79411\",\n \"answer\": \"music, healthcare, publishing, banking and transportation industries\"\n },\n {\n \"question_id\": \"79412\",\n \"answer\": \"the Tennessee Supreme Court's courthouse for Middle Tennessee\"\n },\n {\n \"question_id\": \"79413\",\n \"answer\": \"Nashville-Davidson\\u2013Murfreesboro\\u2013Columbia\"\n },\n {\n \"question_id\": \"79414\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79415\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79416\",\n \"answer\": \"40\"\n },\n {\n \"question_id\": \"79417\",\n \"answer\": \"a mayor, a vice-mayor, and the Metropolitan Council\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Back in the fifteenth century, in a tiny village near Nuremberg, lived a family with eighteen children.In spite of the hopeless condition, two of the children, Albrecht Durer and Albert, had a dream.They both wanted to pursue their talent for art.After many long discussions, the two boys finally worked out an agreement.They would toss a coin.The loser would go down into the nearby mines and, with his earnings, support his brother who attended the academy.Then, when that brother who won the toss completed his studies, in four years, he would support the other brother at the academy. \n\nTossing a coin, Albrecht Durer won and went off to Nuremberg.Albert went down into the dangerous mines and, for the next four years, supported his brother, _ work at the academy was almost an immediate sensation .By the time he graduated, he had earned considerable fees for his outstanding works. \n\nWhen the young artist returned to his village, the Durer family held a festive dinner to celebrate Albrecht's triumphant homecoming.Albrecht drank a toast to his beloved brother for the years of sacrifice that had enabled him to complete his dream.\"And now, Albert, blessed brother of mine, now it is your turn.Now you can go to Nuremberg to look for your dream, and I will take care of you.\" \n\nTears streaming down his pale face, Albert sobbed, \"No...no...It is too late for me.Look...look at what four years in the mines have done to my hands!The bones in every finger have been broken at least once, and lately I have been suffering from arthritis so badly in my right hand that I cannot even hold a glass to return your toast, much less draw delicate lines with a pen or a brush.\" \n\nTo show thanks to Albert for all that he had sacrificed, Albrecht Durer painstakingly drew his brother's injured hands with palms together and thin fingers stretched skyward.He called his powerful drawing simply \"Hands\", but the entire world almost immediately opened their hearts to his great masterpiece and renamed it \"The Praying Hands\".The next time you see a copy of that touching creation, let it be your reminder--no one ever makes any success alone!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4287\": \"What era is the article about?\"\n },\n {\n \"4288\": \"Where?\"\n },\n {\n \"4289\": \"How many kids did the family have?\"\n },\n {\n \"4290\": \"How many of the kids worked together?\"\n },\n {\n \"4291\": \"Which ones?\"\n },\n {\n \"4292\": \"What was their deal?\"\n },\n {\n \"4293\": \"To decide what?\"\n },\n {\n \"4294\": \"Who went to college?\"\n },\n {\n \"4295\": \"Was he successful?\"\n },\n {\n \"4296\": \"What happened when he came home?\"\n },\n {\n \"4297\": \"Did the other brother go to college?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4287\",\n \"answer\": \"fifteenth century\"\n },\n {\n \"question_id\": \"4288\",\n \"answer\": \"tiny village near Nuremberg\"\n },\n {\n \"question_id\": \"4289\",\n \"answer\": \"eighteen\"\n },\n {\n \"question_id\": \"4290\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"4291\",\n \"answer\": \"Albrecht Durer and Albert\"\n },\n {\n \"question_id\": \"4292\",\n \"answer\": \"would toss a coin\"\n },\n {\n \"question_id\": \"4293\",\n \"answer\": \"loser would go down into the nearby mines and, with his earnings, support his brother who attended the academy.Then, when that brother who won the toss completed his studies, in four years, he would support the other brother at the academy.\"\n },\n {\n \"question_id\": \"4294\",\n \"answer\": \"Albrecht Durer\"\n },\n {\n \"question_id\": \"4295\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4296\",\n \"answer\": \"a festive dinner\"\n },\n {\n \"question_id\": \"4297\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXX \n\nA WAY TO FORGET \n\nThe faces of the group, as Uncle John finished reading, were worth studying. Arthur Weldon was white with anger, and his eyes blazed. Silas Watson stared blankly at his old friend, wondering if it was because he was growing old that he had been so easily hoodwinked by this saucy child. Beth was biting her lip to keep back the tears of humiliation that longed to trickle down her cheeks. Louise frowned because she remembered the hard things Tato had said of her. Patsy was softly crying at the loss of her friend. \n\nThen Kenneth laughed, and the sound sent a nervous shiver through the group. \n\n\"Tato's a brick!\" announced the boy, audaciously. \"Can't you see, you stupids, that the thing is a good joke on us all? Or are you too thin skinned to laugh at your own expense?\" \n\n\"Oh, we can laugh,\" responded Uncle John, gravely. \"But if Tato's a brick it's because she is hard and insensible. The loss of the money doesn't hurt me, but to think the wicked little lass made me love her when she didn't deserve it is the hardest blow I have ever received.\" \n\nThat made Patsy sob outright, while Louise ejaculated, with scorn: \"The little wretch!\" \n\n\"It serves us right for having confidence in a child reared to crime and murder from the cradle,\" said Arthur, rather savagely. \"I don't know how much money I am worth, but I'd gladly spend another thirty thousand to bring this wretched creature to justice.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57878\": \"Who had just completed reading?\"\n },\n {\n \"57879\": \"Who was mad?\"\n },\n {\n \"57880\": \"How was his anger evident?\"\n },\n {\n \"57881\": \"Who was trying not to cry?\"\n },\n {\n \"57882\": \"What was she doing to prevent it?\"\n },\n {\n \"57883\": \"Who was actually crying?\"\n },\n {\n \"57884\": \"Did anyone laugh?\"\n },\n {\n \"57885\": \"Who?\"\n },\n {\n \"57886\": \"What did Patsy call her?\"\n },\n {\n \"57887\": \"How much was Arthur willing to spend?\"\n },\n {\n \"57888\": \"for what?\"\n },\n {\n \"57889\": \"What did Kenneth call Tato?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57878\",\n \"answer\": \"Uncle John.\"\n },\n {\n \"question_id\": \"57879\",\n \"answer\": \"Arthur Weldon.\"\n },\n {\n \"question_id\": \"57880\",\n \"answer\": \"His eyes blazed.\"\n },\n {\n \"question_id\": \"57881\",\n \"answer\": \"Beth.\"\n },\n {\n \"question_id\": \"57882\",\n \"answer\": \"Biting her lip.\"\n },\n {\n \"question_id\": \"57883\",\n \"answer\": \"Patsy.\"\n },\n {\n \"question_id\": \"57884\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"57885\",\n \"answer\": \"Kenneth.\"\n },\n {\n \"question_id\": \"57886\",\n \"answer\": \"Little wretch.\"\n },\n {\n \"question_id\": \"57887\",\n \"answer\": \"Thirty thousand.\"\n },\n {\n \"question_id\": \"57888\",\n \"answer\": \"To bring Tato to justice.\"\n },\n {\n \"question_id\": \"57889\",\n \"answer\": \"A brick.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n After the first World War, a small group of veterans returned to their village in Britain. Most of them managed to get along fairly well, but one--Francis Blustering, who had been wounded and who never recovered his strength-- was unable to work like others. In time he became very poor. Yet he was too proud to accept anything from the people in the village. \n\nOnce, these veterans held a reunion dinner in the home of Jules Grandin, who had made a good deal of money. Grandin produced a curiosity --a large old gold coin. Each man examined it with interest as it passed around the long table. All, however, had drunk wine freely and the room was full of noisy talk, so that the gold piece was soon forgotten. Later, when Grandin remembered it and asked for it, the coin was missing. \n\nOne of them suggested everyone be searched, to which all agreed, except Blustering. \"You refuse, then?\" asked Grandin. Blustering said with a red face, \"Yes, I cannot allow it.\" \n\nOne by one, the others turned out their pockets. When the coin failed to appear, attention was focused on poor Blustering. Under the pitying stares of his friends, he walked out and returned to his home. \n\nA few years later, Grandin made his house repaired. A workman found the gold coin, buried in dirt between planks of the floor. Hurrying to Blustering's home, Grandin apologized to him. \n\n\"But why didn't you allow yourself be searched?\" \n\n\"Because I was a thief,\" Blustering said brokenly. \"For weeks we had not had enough to eat and my pockets were full of food that I had taken from the table to carry home to my wife and hungry children.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91983\": \"When does this story take place?\"\n },\n {\n \"91984\": \"Who returned to their village?\"\n },\n {\n \"91985\": \"Did all of them do well?\"\n },\n {\n \"91986\": \"Who didn't?\"\n },\n {\n \"91987\": \"Why?\"\n },\n {\n \"91988\": \"Did he have a job?\"\n },\n {\n \"91989\": \"Who held a dinner?\"\n },\n {\n \"91990\": \"What was the reason for the dinner?\"\n },\n {\n \"91991\": \"What did Grandin show the men?\"\n },\n {\n \"91992\": \"Did Grandin forget about the coin?\"\n },\n {\n \"91993\": \"What did one of the men say they should do?\"\n },\n {\n \"91994\": \"Did everyone say okay?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91983\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"91984\",\n \"answer\": \"small group of veterans\"\n },\n {\n \"question_id\": \"91985\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"91986\",\n \"answer\": \"Francis Blustering\"\n },\n {\n \"question_id\": \"91987\",\n \"answer\": \"wounded and never recovered his strength\"\n },\n {\n \"question_id\": \"91988\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"91989\",\n \"answer\": \"veterans\"\n },\n {\n \"question_id\": \"91990\",\n \"answer\": \"renunion dinner\"\n },\n {\n \"question_id\": \"91991\",\n \"answer\": \"a large old gold coin\"\n },\n {\n \"question_id\": \"91992\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"91993\",\n \"answer\": \"One of them suggested everyone be searched.\"\n },\n {\n \"question_id\": \"91994\",\n \"answer\": \"No\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER 10. Containing the Sequel of the Midshipman's Disaster \n\nMajor Bagstock, after long and frequent observation of Paul, across Princess's Place, through his double-barrelled opera-glass; and after receiving many minute reports, daily, weekly, and monthly, on that subject, from the native who kept himself in constant communication with Miss Tox's maid for that purpose; came to the conclusion that Dombey, Sir, was a man to be known, and that J. B. was the boy to make his acquaintance. \n\nMiss Tox, however, maintaining her reserved behaviour, and frigidly declining to understand the Major whenever he called (which he often did) on any little fishing excursion connected with this project, the Major, in spite of his constitutional toughness and slyness, was fain to leave the accomplishment of his desire in some measure to chance, 'which,' as he was used to observe with chuckles at his club, 'has been fifty to one in favour of Joey B., Sir, ever since his elder brother died of Yellow Jack in the West Indies.' \n\nIt was some time coming to his aid in the present instance, but it befriended him at last. When the dark servant, with full particulars, reported Miss Tox absent on Brighton service, the Major was suddenly touched with affectionate reminiscences of his friend Bill Bitherstone of Bengal, who had written to ask him, if he ever went that way, to bestow a call upon his only son. But when the same dark servant reported Paul at Mrs Pipchin's, and the Major, referring to the letter favoured by Master Bitherstone on his arrival in England--to which he had never had the least idea of paying any attention--saw the opening that presented itself, he was made so rabid by the gout, with which he happened to be then laid up, that he threw a footstool at the dark servant in return for his intelligence, and swore he would be the death of the rascal before he had done with him: which the dark servant was more than half disposed to believe. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85202\": \"Where are they?\"\n },\n {\n \"85203\": \"What was to be known?\"\n },\n {\n \"85204\": \"who was to know him?\"\n },\n {\n \"85205\": \"who is reserved?\"\n },\n {\n \"85206\": \"who was tough?\"\n },\n {\n \"85207\": \"who was JB?\"\n },\n {\n \"85208\": \"Who was major's friend?\"\n },\n {\n \"85209\": \"What was his last name?\"\n },\n {\n \"85210\": \"where was he from?\"\n },\n {\n \"85211\": \"who was absent?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85202\",\n \"answer\": \"Princess's Place\"\n },\n {\n \"question_id\": \"85203\",\n \"answer\": \"Dombey\"\n },\n {\n \"question_id\": \"85204\",\n \"answer\": \"J. B.\"\n },\n {\n \"question_id\": \"85205\",\n \"answer\": \"Miss Tox,\"\n },\n {\n \"question_id\": \"85206\",\n \"answer\": \"Major\"\n },\n {\n \"question_id\": \"85207\",\n \"answer\": \"Joey B\"\n },\n {\n \"question_id\": \"85208\",\n \"answer\": \"Bill\"\n },\n {\n \"question_id\": \"85209\",\n \"answer\": \"Bitherstone\"\n },\n {\n \"question_id\": \"85210\",\n \"answer\": \"Bengal\"\n },\n {\n \"question_id\": \"85211\",\n \"answer\": \"Miss Tox\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 University of Virginia (U.Va. or UVA), frequently referred to simply as Virginia, is a public research university and the flagship for the Commonwealth of Virginia. Founded in 1819 by Declaration of Independence author Thomas Jefferson, UVA is known for its historic foundations, student-run honor code, and secret societies. \n\nUNESCO designated UVA as America's first and only collegiate World Heritage Site in 1987, an honor shared with nearby Monticello. The university was established in 1819, and its original governing Board of Visitors included Thomas Jefferson, James Madison, and James Monroe. Monroe was the sitting President of the United States at the time of its foundation. Former Presidents Jefferson and Madison were UVA's first two rectors and Jefferson conceived and designed the original courses of study and Academical Village. \n\nUVA was the first elected member of the Association of American Universities from the South, in 1904, and remains the only member institution in Virginia. UVA is classified as a \"Research University with Very High Research\" by the Carnegie Foundation, and is considered Virginia's flagship university by the College Board. In 2015 the journal \"Science\" honored UVA faculty for discovering two of its top 10 annual scientific breakthroughs; from the fields of Medicine and Psychology. UVA faculty and alumni have founded a large number of companies, such as Reddit, that produce more than $1.6 trillion in annual revenue, equivalent to the 10th-largest economy in the world.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58118\": \"WHat does UVA stand for?\"\n },\n {\n \"58119\": \"WHen did it start?\"\n },\n {\n \"58120\": \"By who?\"\n },\n {\n \"58121\": \"Was anyone else involved with it?\"\n },\n {\n \"58122\": \"WHat are they famous for?\"\n },\n {\n \"58123\": \"Is the school in any important organizations?\"\n },\n {\n \"58124\": \"Is it unique in any way in that?\"\n },\n {\n \"58125\": \"WHen did it join that Assocation?\"\n },\n {\n \"58126\": \"How did it get in?\"\n },\n {\n \"58127\": \"Is it known for any particular academic disiplines?\"\n },\n {\n \"58128\": \"WHat publication featured the school?\"\n },\n {\n \"58129\": \"When?\"\n },\n {\n \"58130\": \"Why?\"\n },\n {\n \"58131\": \"Besides academics is it known for anything else?\"\n },\n {\n \"58132\": \"Are the schools students and teachers successful people?\"\n },\n {\n \"58133\": \"How so?\"\n },\n {\n \"58134\": \"DO you have an example?\"\n },\n {\n \"58135\": \"How much do these companies make a year?\"\n },\n {\n \"58136\": \"How does that rank in the global economy?\"\n },\n {\n \"58137\": \"Is the school a private one?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58118\",\n \"answer\": \"The University of Virginia\"\n },\n {\n \"question_id\": \"58119\",\n \"answer\": \"1819\"\n },\n {\n \"question_id\": \"58120\",\n \"answer\": \"Thomas Jefferson\"\n },\n {\n \"question_id\": \"58121\",\n \"answer\": \"James Madison, and James Monroe\"\n },\n {\n \"question_id\": \"58122\",\n \"answer\": \"Monroe was the sitting President of the United States\"\n },\n {\n \"question_id\": \"58123\",\n \"answer\": \"Association of American Universities\"\n },\n {\n \"question_id\": \"58124\",\n \"answer\": \"it's the first and only collegiate World Heritage Site\"\n },\n {\n \"question_id\": \"58125\",\n \"answer\": \"1904\"\n },\n {\n \"question_id\": \"58126\",\n \"answer\": \"it was elected\"\n },\n {\n \"question_id\": \"58127\",\n \"answer\": \"Medicine and Psychology\"\n },\n {\n \"question_id\": \"58128\",\n \"answer\": \"\\\"Science\\\"\"\n },\n {\n \"question_id\": \"58129\",\n \"answer\": \"2015\"\n },\n {\n \"question_id\": \"58130\",\n \"answer\": \"for discovering two of its top 10 annual scientific breakthroughs\"\n },\n {\n \"question_id\": \"58131\",\n \"answer\": \"historic foundations, student-run honor code, and secret societies.\"\n },\n {\n \"question_id\": \"58132\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"58133\",\n \"answer\": \"they have founded a large number of companies\"\n },\n {\n \"question_id\": \"58134\",\n \"answer\": \"Reddit\"\n },\n {\n \"question_id\": \"58135\",\n \"answer\": \"$1.6 trillion\"\n },\n {\n \"question_id\": \"58136\",\n \"answer\": \"10th-largest\"\n },\n {\n \"question_id\": \"58137\",\n \"answer\": \"No\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IV \n\n\n\nMrs. Penniman, with more buckles and bangles than ever, came, of course, to the entertainment, accompanied by her niece; the Doctor, too, had promised to look in later in the evening. There was to be a good deal of dancing, and before it had gone very far, Marian Almond came up to Catherine, in company with a tall young man. She introduced the young man as a person who had a great desire to make our heroine's acquaintance, and as a cousin of Arthur Townsend, her own intended. \n\nMarian Almond was a pretty little person of seventeen, with a very small figure and a very big sash, to the elegance of whose manners matrimony had nothing to add. She already had all the airs of a hostess, receiving the company, shaking her fan, saying that with so many people to attend to she should have no time to dance. She made a long speech about Mr. Townsend's cousin, to whom she administered a tap with her fan before turning away to other cares. Catherine had not understood all that she said; her attention was given to enjoying Marian's ease of manner and flow of ideas, and to looking at the young man, who was remarkably handsome. She had succeeded, however, as she often failed to do when people were presented to her, in catching his name, which appeared to be the same as that of Marian's little stockbroker. Catherine was always agitated by an introduction; it seemed a difficult moment, and she wondered that some people--her new acquaintance at this moment, for instance-- should mind it so little. She wondered what she ought to say, and what would be the consequences of her saying nothing. The consequences at present were very agreeable. Mr. Townsend, leaving her no time for embarrassment, began to talk with an easy smile, as if he had known her for a year. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7429\": \"Who had buckles and bangles?\"\n },\n {\n \"7430\": \"who went with her to the entertainment?\"\n },\n {\n \"7431\": \"Who was expected to come?\"\n },\n {\n \"7432\": \"Was they going to dance?\"\n },\n {\n \"7433\": \"who came up to Catherine?\"\n },\n {\n \"7434\": \"Was she alone?\"\n },\n {\n \"7435\": \"how old was Almond?\"\n },\n {\n \"7436\": \"Was she overeweight?\"\n },\n {\n \"7437\": \"What did she have the airs of?\"\n },\n {\n \"7438\": \"what was one thing she did as a hostess?\"\n },\n {\n \"7439\": \"What was she shaking?\"\n },\n {\n \"7440\": \"Was she goinng to dance?\"\n },\n {\n \"7441\": \"Did she make a short speech?\"\n },\n {\n \"7442\": \"Who was the speech about?\"\n },\n {\n \"7443\": \"Who was Catherine paying attention to?\"\n },\n {\n \"7444\": \"was the man ugly?\"\n },\n {\n \"7445\": \"who had the same name?\"\n },\n {\n \"7446\": \"How did Catherine feel about introductions?\"\n },\n {\n \"7447\": \"Did she know what she would say?\"\n },\n {\n \"7448\": \"Did she consider saying nothing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7429\",\n \"answer\": \"Mrs. Penniman\"\n },\n {\n \"question_id\": \"7430\",\n \"answer\": \"her niece\"\n },\n {\n \"question_id\": \"7431\",\n \"answer\": \"the Doctor\"\n },\n {\n \"question_id\": \"7432\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"7433\",\n \"answer\": \"Marian Almond\"\n },\n {\n \"question_id\": \"7434\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7435\",\n \"answer\": \"seventeen\"\n },\n {\n \"question_id\": \"7436\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7437\",\n \"answer\": \"a hostess\"\n },\n {\n \"question_id\": \"7438\",\n \"answer\": \"receiving the company\"\n },\n {\n \"question_id\": \"7439\",\n \"answer\": \"her fan\"\n },\n {\n \"question_id\": \"7440\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7441\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7442\",\n \"answer\": \"Mr. Townsend's cousin\"\n },\n {\n \"question_id\": \"7443\",\n \"answer\": \"Marian\"\n },\n {\n \"question_id\": \"7444\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7445\",\n \"answer\": \"Marian's stockbroker\"\n },\n {\n \"question_id\": \"7446\",\n \"answer\": \"it seemed a difficult moment\"\n },\n {\n \"question_id\": \"7447\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7448\",\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 12: In Mocenigo's Power. \n\nIt was fully an hour before Polani was recalled to the council chamber. He saw at once, by the flushed and angry faces of some of the council, that the debate had been a hot one. At this he was not surprised, for he knew that the friends and connections of Ruggiero Mocenigo would vehemently oppose the suggestion he had made. \n\nThe doge announced the decision. \n\n\"The council thank you for your suggestion, Signor Polani, and have resolved, by a majority, to confer upon Messer Francisco Hammond the high honour of placing his name upon the list of the citizens of Venice, without requiring from him the oaths of allegiance to the state. As such an honour has never before been conferred, save upon personages of the highest rank, it will be a proof of the gratitude which Venice feels towards one who has done her such distinguished service. The decree to that effect will be published tomorrow.\" \n\nThe merchant retired, highly gratified. The honour was a great and signal one, and the material advantages considerable. The fact that Francis was a foreigner had been the sole obstacle which had presented itself to him, in associating him with his business, for it would prevent Francis from trading personally with any of the countries in which Venetian citizens enjoyed special advantages. \n\nFrancis was immensely gratified, when he heard from the merchant of the honour to be conferred upon him. It was of all others the reward he would have selected, had a free choice been given him, but it was so great and unusual an honour, that he could indeed scarcely credit it when the merchant told him the result of his interviews with the council. The difficulty which his being a foreigner would throw in the way of his career as a merchant in Eastern waters, had been frequently in his mind, and would, he foresaw, greatly lessen his usefulness, but that he should be able to obtain naturalization, without renouncing his allegiance to England, he had never even hoped. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50482\": \"Did anyone have to wait long?\"\n },\n {\n \"50483\": \"Who?\"\n },\n {\n \"50484\": \"How long he had to wait?\"\n },\n {\n \"50485\": \"Who were he meeting?\"\n },\n {\n \"50486\": \"Did they look friendly?\"\n },\n {\n \"50487\": \"Who did he thing would be against him?\"\n },\n {\n \"50488\": \"Did the council make a decision?\"\n },\n {\n \"50489\": \"Did give some previledge to someone?\"\n },\n {\n \"50490\": \"Whom?\"\n },\n {\n \"50491\": \"When the verdict will be made public?\"\n },\n {\n \"50492\": \"Who was happy about it?\"\n },\n {\n \"50493\": \"Who was a hindrance to him?\"\n },\n {\n \"50494\": \"Was it about the people of Venice?\"\n },\n {\n \"50495\": \"What title Francis would get?\"\n },\n {\n \"50496\": \"Was he suprised about the outcome?\"\n },\n {\n \"50497\": \"Did he have problem without this title?\"\n },\n {\n \"50498\": \"Was it something do about his business?\"\n },\n {\n \"50499\": \"Where he was originally from?\"\n },\n {\n \"50500\": \"Did he have to forgo that citizenship?\"\n },\n {\n \"50501\": \"Was all these a great surprise to him?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"50482\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50483\",\n \"answer\": \"Polani\"\n },\n {\n \"question_id\": \"50484\",\n \"answer\": \"an hour\"\n },\n {\n \"question_id\": \"50485\",\n \"answer\": \"the council\"\n },\n {\n \"question_id\": \"50486\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50487\",\n \"answer\": \"he friends of Ruggiero Mocenigo\"\n },\n {\n \"question_id\": \"50488\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50489\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50490\",\n \"answer\": \"Messer Francisco Hammond\"\n },\n {\n \"question_id\": \"50491\",\n \"answer\": \"tomorrow\"\n },\n {\n \"question_id\": \"50492\",\n \"answer\": \"Polani\"\n },\n {\n \"question_id\": \"50493\",\n \"answer\": \"Francis\"\n },\n {\n \"question_id\": \"50494\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50495\",\n \"answer\": \"citizen\"\n },\n {\n \"question_id\": \"50496\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50497\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50498\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50499\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"50500\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50501\",\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 Abkhazia is a partially recognised state on the eastern coast of the Black Sea and the south-western flank of the Caucasus Mountains, south of Russia and northwest of Georgia proper. It covers and has a population of around 240,000. Its capital is Sukhumi. The separatist Abkhazian polity, formally the Republic of Abkhazia or Apsny, is recognised only by Russia and a small number of other countries. While Georgia lacks control over Abkhazia, the Georgian government, the United Nations and the majority of the world's governments consider Abkhazia part of Georgia, whose constitution designates the area as the Autonomous Republic of Abkhazia. \n\nThe status of Abkhazia is a central issue of the Georgian–Abkhazian conflict and Georgia–Russia relations. The region enjoyed autonomy within Soviet Georgia at the time when the Soviet Union began to disintegrate in the late 1980s. Simmering ethnic tensions between the Abkhaz—the region's \"titular ethnicity\"—and Georgians—the largest single ethnic group at that time—culminated in the 1992–1993 War in Abkhazia which resulted in Georgia's loss of control of most of Abkhazia, the \"de facto\" independence of Abkhazia, and the mass exodus and ethnic cleansing of Georgians from Abkhazia. Despite the 1994 ceasefire agreement and years of negotiations, the dispute remains unresolved. The long-term presence of a United Nations Observer Mission and a Russian-led Commonwealth of Independent States (CIS) peacekeeping force failed to prevent the flare-up of violence on several occasions. In August 2008, Abkhaz forces fought against Georgian forces during the Russo-Georgian War, which led to the formal recognition of Abkhazia by Russia, the annulment of the 1994 ceasefire agreement, and the termination of the UN mission. On 28 August 2008, the Parliament of Georgia declared Abkhazia a Russian-occupied territory.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79700\": \"What is on the eastern coast of the black sea?\"\n },\n {\n \"79701\": \"what is it called?\"\n },\n {\n \"79702\": \"what else borders it?\"\n },\n {\n \"79703\": \"What is it south of?\"\n },\n {\n \"79704\": \"And northwest of where?\"\n },\n {\n \"79705\": \"How many people live there?\"\n },\n {\n \"79706\": \"What is it's capital?\"\n },\n {\n \"79707\": \"Who considers it to be part of them?\"\n },\n {\n \"79708\": \"who is under conflict?\"\n },\n {\n \"79709\": \"When was the ceasefire?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79700\",\n \"answer\": \"a partially recognised state\"\n },\n {\n \"question_id\": \"79701\",\n \"answer\": \"Abkhazia\"\n },\n {\n \"question_id\": \"79702\",\n \"answer\": \"Caucasus Mountains\"\n },\n {\n \"question_id\": \"79703\",\n \"answer\": \"Russia\"\n },\n {\n \"question_id\": \"79704\",\n \"answer\": \"Georgia proper\"\n },\n {\n \"question_id\": \"79705\",\n \"answer\": \"around 240,000\"\n },\n {\n \"question_id\": \"79706\",\n \"answer\": \"Sukhumi.\"\n },\n {\n \"question_id\": \"79707\",\n \"answer\": \"Georgia\"\n },\n {\n \"question_id\": \"79708\",\n \"answer\": \"the Abkhaz and Georgians\"\n },\n {\n \"question_id\": \"79709\",\n \"answer\": \"1994\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Las Vegas (CNN) -- For David Shafter, it should have been a dream: A crush of excited people swarming his booth at the International Consumer Electronics Show, where his startup is launching its first product. \n\nBut all the people hoisting cameras and raising themselves on tiptoe for a better view Wednesday afternoon weren't there to see his robot. They were angling for a peek at pop star Justin Bieber, who was making an appearance at the booth next door. \n\n\"We're pretty much shut down,\" said Shafter with a weary look of resignation, as rubberneckers squealed and shouted \"Justin!\" in the background. \"We can't run our demos.\" \n\nShafter's fledgling company, Xybotyx, is making its first appearance at CES to introduce its Xybot, a hockey-puck-shaped robotic device that zips around on little wheels, controlled by an iPhone or iPod Touch. \n\nOwners can download apps to their phone that give the robot specific behaviors, like avoiding obstacles. The gadget will go on sale this spring at the quirky price of $111.11. \n\nBut none of the hundreds of people pressed up against his booth cared about that. \n\nThey only had eyes for the teen singer with the sideswept hair who was greeting fans nearby at the TOSY booth, where he made an appearance on behalf of that company's new mRobo, a portable speaker that morphs, \"Transformers\" style, into a little dancing robot. \n\nMiddle-aged tech execs aren't exactly Bieber's demographic, but many onlookers said they were there to get photos or autographs for their teen-age kids. Some people even asked if they could climb atop Shafter's plywood demo table to get a better view. (The answer was no.) \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92100\": \"Who owns Xybotyx?\"\n },\n {\n \"92101\": \"Is this a new company?\"\n },\n {\n \"92102\": \"What product do they make?\"\n },\n {\n \"92103\": \"What is that?\"\n },\n {\n \"92104\": \"What does it look like?\"\n },\n {\n \"92105\": \"What does is use to move?\"\n },\n {\n \"92106\": \"How do you tell it what to do?\"\n },\n {\n \"92107\": \"Where is he introducing it?\"\n },\n {\n \"92108\": \"Is it going well?\"\n },\n {\n \"92109\": \"Who is his neighbor at the show?\"\n },\n {\n \"92110\": \"What is their product called?\"\n },\n {\n \"92111\": \"What is it?\"\n },\n {\n \"92112\": \"Does it do something special?\"\n },\n {\n \"92113\": \"What?\"\n },\n {\n \"92114\": \"How are they doing at the show?\"\n },\n {\n \"92115\": \"Why?\"\n },\n {\n \"92116\": \"Who is that?\"\n },\n {\n \"92117\": \"Does he have a lot of middle age fans?\"\n },\n {\n \"92118\": \"Why do they want to see him so bad?\"\n },\n {\n \"92119\": \"Did Shafter let them use his table?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92100\",\n \"answer\": \"David Shafter\"\n },\n {\n \"question_id\": \"92101\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92102\",\n \"answer\": \"Xybot\"\n },\n {\n \"question_id\": \"92103\",\n \"answer\": \"a robotic device\"\n },\n {\n \"question_id\": \"92104\",\n \"answer\": \"a hockey puck\"\n },\n {\n \"question_id\": \"92105\",\n \"answer\": \"wheels\"\n },\n {\n \"question_id\": \"92106\",\n \"answer\": \"with an iPhone or iPod Touch\"\n },\n {\n \"question_id\": \"92107\",\n \"answer\": \"the International Consumer Electronics Show\"\n },\n {\n \"question_id\": \"92108\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92109\",\n \"answer\": \"TOSY\"\n },\n {\n \"question_id\": \"92110\",\n \"answer\": \"mRobo\"\n },\n {\n \"question_id\": \"92111\",\n \"answer\": \"a portable speaker\"\n },\n {\n \"question_id\": \"92112\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92113\",\n \"answer\": \"morphs into a dancing robot\"\n },\n {\n \"question_id\": \"92114\",\n \"answer\": \"well\"\n },\n {\n \"question_id\": \"92115\",\n \"answer\": \"Justin Bieber is there\"\n },\n {\n \"question_id\": \"92116\",\n \"answer\": \"a pop star\"\n },\n {\n \"question_id\": \"92117\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92118\",\n \"answer\": \"to get photos or autographs for their teen-age kids\"\n },\n {\n \"question_id\": \"92119\",\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) -- Jonathan Winters, the wildly inventive actor and comedian who appeared in such films as \"It's a Mad, Mad, Mad, Mad World\" and \"The Loved One\" and played Robin Williams' son on the TV show \"Mork & Mindy,\" has died. He was 87. \n\nWinters died Thursday evening of natural causes at his home in Montecito, California, according to business associate Joe Petro III. \n\nWinters was known for his comic irreverence, switching characters the way other people flick on light switches. His routines were full of non sequiturs and surreal jokes. Williams, in particular, often credited him as a great influence. \n\n\"First he was my idol, then he was my mentor and amazing friend,\" tweeted Williams. \"I'll miss him huge. He was my Comedy Buddha. Long live the Buddha.\" \n\nWinters, who was widely admired by comedians in general, was awarded the Mark Twain Prize -- which goes to outstanding humorists -- in 1999. \n\n\"Genius\" was a common touchstone as comedians reacted to Winters' death. \n\n\"R.I.P Jonathan Winters,\" tweeted comedian and filmmaker Albert Brooks. \"Beyond funny, he invented a new category of comedic genius.\" \n\n\"Had a great run. Actual genius,\" tweeted Kevin Pollak. \n\n\"A genius and the greatest improvisational comedian of all time,\" tweeted Richard Lewis. \n\nGottfried: Jonathan Winters was mad brilliant \n\nThough he never had a breakout starring role, over the years his appearances on TV shows made him a beloved figure in the entertainment world. He was a favorite guest on \"The Tonight Show\" -- particularly in the early '60s when Jack Paar hosted it -- and turned up on the game show \"The Hollywood Squares,\" Dean Martin's celebrity roasts and countless variety shows. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98002\": \"What show likes having Winters on?\"\n },\n {\n \"98003\": \"What other shows did he appear on?\"\n },\n {\n \"98004\": \"Who was Winters\"\n },\n {\n \"98005\": \"What happened to him?\"\n },\n {\n \"98006\": \"When?\"\n },\n {\n \"98007\": \"What time of day?\"\n },\n {\n \"98008\": \"Where?\"\n },\n {\n \"98009\": \"Where did he live?\"\n },\n {\n \"98010\": \"What was the cause of death?\"\n },\n {\n \"98011\": \"How old was he?\"\n },\n {\n \"98012\": \"Who idolized him?\"\n },\n {\n \"98013\": \"What else did Williams consider him to be?\"\n },\n {\n \"98014\": \"What did Richard Lewis think of him?\"\n },\n {\n \"98015\": \"How many lead roles did he have?\"\n },\n {\n \"98016\": \"What did Kevin Pollak think of him?\"\n },\n {\n \"98017\": \"How many people commented on his intelligence?\"\n },\n {\n \"98018\": \"Who is Albert Brooks?\"\n },\n {\n \"98019\": \"What prize did he win?\"\n },\n {\n \"98020\": \"When?\"\n },\n {\n \"98021\": \"Who usually gets that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98002\",\n \"answer\": \"The Tonight Show\"\n },\n {\n \"question_id\": \"98003\",\n \"answer\": \"The Hollywood Squares and variety shows\"\n },\n {\n \"question_id\": \"98004\",\n \"answer\": \"an actor and comedian\"\n },\n {\n \"question_id\": \"98005\",\n \"answer\": \"he died\"\n },\n {\n \"question_id\": \"98006\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"98007\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"98008\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"98009\",\n \"answer\": \"Montecito California\"\n },\n {\n \"question_id\": \"98010\",\n \"answer\": \"natural causes\"\n },\n {\n \"question_id\": \"98011\",\n \"answer\": \"87\"\n },\n {\n \"question_id\": \"98012\",\n \"answer\": \"Williams\"\n },\n {\n \"question_id\": \"98013\",\n \"answer\": \"a mentor and friend\"\n },\n {\n \"question_id\": \"98014\",\n \"answer\": \"he was a genius\"\n },\n {\n \"question_id\": \"98015\",\n \"answer\": \"none\"\n },\n {\n \"question_id\": \"98016\",\n \"answer\": \"he was a genius\"\n },\n {\n \"question_id\": \"98017\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"98018\",\n \"answer\": \"a comedian and filmmaker\"\n },\n {\n \"question_id\": \"98019\",\n \"answer\": \"the Mark Twain Prize\"\n },\n {\n \"question_id\": \"98020\",\n \"answer\": \"in 1999\"\n },\n {\n \"question_id\": \"98021\",\n \"answer\": \"outstanding humorists\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Centuries from Gautam Gambhir and Virat Kohli helped India defeat Sri Lanka by seven wickets in the fourth one-day international in Kolkata to take an unassailable 3-1 lead in the five-match series. \n\nUpul Tharanga had hit a superb 118 and Kumar Sangakkara made a fine 60 as the visitors reached an imposing 315 for six after choosing to bat first. \n\nHowever, Gambhir struck an undefeated 150 and Kohli made 107 -- his maiden century -- the two adding 224 for the third wicket as India easily overhauled the target, the highest one-day run chase at the famous Eden Gardens ground. \n\nAfter the tourists opted to bat, India began well with the ball, conceding a measly nine from five immaculate overs sent down by new-ball bowlers Zaheer Khan and Ashish Nehra. \n\nBut Tillakaratne Dilshan broke the shackles by driving Nehra through the covers in the sixth over for the first boundary and from then on India gradually lost control. \n\nNehra, who had dropped Tharanga on seven when he failed to hold on to a fairly straightforward return catch, went some way to atoning for that error by snaring Dilshan early and Sanath Jayasuriya, batting at three, also departed cheaply. \n\nBut then Sangakkara, who was handed a reprieve before he was even off the mark when Harbhajan Singh squandered a simple chance at third man, and Tharanga built a solid base. \n\nTharanga, who increased the tempo by hitting Ishant Sharma for five boundaries in the paceman's first over, continued to bat steadily alongside his captain. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69457\": \"What did Gautam Gambhir and Virat Kohli help?\"\n },\n {\n \"69458\": \"where?\"\n },\n {\n \"69459\": \"against who?\"\n },\n {\n \"69460\": \"What was the score?\"\n },\n {\n \"69461\": \"how many matches?\"\n },\n {\n \"69462\": \"What did Tharanga do?\"\n },\n {\n \"69463\": \"What did he hit?\"\n },\n {\n \"69464\": \"was that good?\"\n },\n {\n \"69465\": \"Who was undefeated?\"\n },\n {\n \"69466\": \"What did he strike?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69457\",\n \"answer\": \"in the match\"\n },\n {\n \"question_id\": \"69458\",\n \"answer\": \"Kolkata\"\n },\n {\n \"question_id\": \"69459\",\n \"answer\": \"Sri Lanka\"\n },\n {\n \"question_id\": \"69460\",\n \"answer\": \"3 to 1\"\n },\n {\n \"question_id\": \"69461\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"69462\",\n \"answer\": \"Kept on batting\"\n },\n {\n \"question_id\": \"69463\",\n \"answer\": \"118\"\n },\n {\n \"question_id\": \"69464\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69465\",\n \"answer\": \"Gambhir\"\n },\n {\n \"question_id\": \"69466\",\n \"answer\": \"150\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Billy Dengler, a 14-year-old boy, is in the eighth grade. A month after he was born, Billy's mother, Terri, noticed that his eyes weren't quite as big as a normal baby's. She took Billy to the hospital, and the doctor said Billy would never be able to see. Although Billy can't see, he has never let that hold him back or make him different. Billy began teaching himself computer programming by using a screen reader when he was just seven years old. He is a certified Google developer now. Google even tried to offer him a job last year when he discovered a problem in one of its _ , but Billy wasn't old enough. Billy's dream school would be Stanford University or MIT, where he could get a very good education in computer science. After he leaves school, whether he will go to work at a company like Google or design a software company of his own is still to be decided. However, he says he will definitely do something great. \"It's a sighted world,\" Billy said. \"You can't let anything get in the way of your dreams, and if you do that, you can't move forward and make your dreams come true.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60536\": \"Who is this article about?\"\n },\n {\n \"60537\": \"Who is Billy Dengler?\"\n },\n {\n \"60538\": \"What is unique about him?\"\n },\n {\n \"60539\": \"When did they notice that?\"\n },\n {\n \"60540\": \"Can he see?\"\n },\n {\n \"60541\": \"Did he let that get him down?\"\n },\n {\n \"60542\": \"What does Billy believe?\"\n },\n {\n \"60543\": \"What grade is he in now?\"\n },\n {\n \"60544\": \"What are his goals?\"\n },\n {\n \"60545\": \"Is he good with computers?\"\n },\n {\n \"60546\": \"Where did he learn that?\"\n },\n {\n \"60547\": \"When?\"\n },\n {\n \"60548\": \"How did he do that if he was blind?\"\n },\n {\n \"60549\": \"Does he have any practical experience?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60536\",\n \"answer\": \"Billy Dengler\"\n },\n {\n \"question_id\": \"60537\",\n \"answer\": \"a 14-year-old boy\"\n },\n {\n \"question_id\": \"60538\",\n \"answer\": \"his eyes weren't quite as big as a normal baby's\"\n },\n {\n \"question_id\": \"60539\",\n \"answer\": \"A month after he was born\"\n },\n {\n \"question_id\": \"60540\",\n \"answer\": \"Billy would never be able to see\"\n },\n {\n \"question_id\": \"60541\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"60542\",\n \"answer\": \"You can't let anything get in the way of your dreams\"\n },\n {\n \"question_id\": \"60543\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"60544\",\n \"answer\": \"Stanford University or MIT\"\n },\n {\n \"question_id\": \"60545\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"60546\",\n \"answer\": \"Billy began teaching himself computer programming\"\n },\n {\n \"question_id\": \"60547\",\n \"answer\": \"seven years old\"\n },\n {\n \"question_id\": \"60548\",\n \"answer\": \"using a screen reader\"\n },\n {\n \"question_id\": \"60549\",\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 mandolin (Italian: mandolino pronounced [mandoˈliːno]; literally \"small mandola\") is a musical instrument in the lute family and is usually plucked with a plectrum or \"pick\". It commonly has four courses of doubled metal strings tuned in unison (8 strings), although five (10 strings) and six (12 strings) course versions also exist. The courses are normally tuned in a succession of perfect fifths. It is the soprano member of a family that includes the mandola, octave mandolin, mandocello and mandobass. \n\nThere are many styles of mandolin, but four are common, the Neapolitan or round-backed mandolin, the carved-top mandolin and the flat-backed mandolin. The round-back has a deep bottom, constructed of strips of wood, glued together into a bowl. The carved-top or arch-top mandolin has a much shallower, arched back, and an arched top—both carved out of wood. The flat-backed mandolin uses thin sheets of wood for the body, braced on the inside for strength in a similar manner to a guitar. Each style of instrument has its own sound quality and is associated with particular forms of music. Neapolitan mandolins feature prominently in European classical music and traditional music. Carved-top instruments are common in American folk music and bluegrass music. Flat-backed instruments are commonly used in Irish, British and Brazilian folk music. Some modern Brazilian instruments feature an extra fifth course tuned a fifth lower than the standard fourth course.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45184\": \"How many strings do the most common mandolins have?\"\n },\n {\n \"45185\": \"How are they tuned?\"\n },\n {\n \"45186\": \"Are there other string combinations?\"\n },\n {\n \"45187\": \"How many strings in those?\"\n },\n {\n \"45188\": \"Are there specialized styles of mandolins?\"\n },\n {\n \"45189\": \"How many are common?\"\n },\n {\n \"45190\": \"What are they?\"\n },\n {\n \"45191\": \"Are they used specifically for different music?\"\n },\n {\n \"45192\": \"What is the flat-backed used in?\"\n },\n {\n \"45193\": \"What are the Neapolitan most used in?\"\n },\n {\n \"45194\": \"What about the carved-top?\"\n },\n {\n \"45195\": \"What is the mandolin called in Italian?\"\n },\n {\n \"45196\": \"What does it mean literally?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45184\",\n \"answer\": \"8 strings\"\n },\n {\n \"question_id\": \"45185\",\n \"answer\": \"in a succession of perfect fifths\"\n },\n {\n \"question_id\": \"45186\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45187\",\n \"answer\": \"10 strings and 12 strings\"\n },\n {\n \"question_id\": \"45188\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45189\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"45190\",\n \"answer\": \"the Neapolitan or round-backed mandolin\"\n },\n {\n \"question_id\": \"45191\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45192\",\n \"answer\": \"Irish, British and Brazilian folk music\"\n },\n {\n \"question_id\": \"45193\",\n \"answer\": \"European classical music and traditional music\"\n },\n {\n \"question_id\": \"45194\",\n \"answer\": \"American folk music and bluegrass music\"\n },\n {\n \"question_id\": \"45195\",\n \"answer\": \"mandolino\"\n },\n {\n \"question_id\": \"45196\",\n \"answer\": \"small mandola\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 LONDON, England(CNN)-- The youngest person to sail solo around the world returned home Thursday from his 30,000-mile, 282-day ocean journey. \n\nMike Perham, 17, sailed into Lizard Point in Cornwall, the southernmost point in Britain, at 9:47 a.m., his race team said. \n\n\"It feels ly brilliant,\" Mike told CNN by phone hours before crossing the finish line. \"I'm really, really excited to be going across the line at last. It doesn't feel like long since I crossed it first.\" \n\nMike set off on his round-the-world trip on November 18, 2008. He has been sailing his yacht, TotallyMoney.com, single-handedly, though a support team has been sailing next to him along the way. ks5u \n\nThe teen has now achieved the title of Youngest Sailor to Circumnavigate the Globe Solo, according to the Guinness World Records. \n\nMike learned how to sail when he was seven years old from his father, Peter and at age 14, he sailed across the Atlantic alone. \n\nThe teenager's school -- which Mike describes as \"highly supportive\" of his trip -- has redesigned his coursework to fit in with his trip. It also gave him some coursework to do during \"quiet moments,\" according to Mike's Website. \n\nThere haven't been many of those quiet moments. Repeated autopilot failures forced him to stop for repairs in Portugal, the Canary Islands, South Africa, and twice in Australia, according to his Web site. \n\nBad weather in the Southern Ocean -- between Australia and Antarctica -- forced Mike to battle 50ft waves and 57 mph winds. He said at one point, a \"freak wave\" picked up the boat and turned it on its side. \"My feet were on the ceiling at the time,\" he told CNN. \"That was a really hairy moment, and I was certainly thinking, 'Why am I here?' But we took the sails off and the day after I thought, 'This is brilliant!'\" \n\nMike describes his father as his biggest hero, always supportive of what he wanted to achieve. Peter Perham said he wasn't too worried about his son facing dangerous situations at sea, as long as he knew what to do and stayed safe.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21016\": \"who said \\\"It feels ly brilliant,\\\" ?\"\n },\n {\n \"21017\": \"mike who ?\"\n },\n {\n \"21018\": \"how old ?\"\n },\n {\n \"21019\": \"who did mike tell that to ?\"\n },\n {\n \"21020\": \"who is mikes biggest hero ?\"\n },\n {\n \"21021\": \"whats his name ?\"\n },\n {\n \"21022\": \"was he worried at all ?\"\n },\n {\n \"21023\": \"when did mike set off the tour ?\"\n },\n {\n \"21024\": \"what year ?\"\n },\n {\n \"21025\": \"how many miles was his sail ?\"\n },\n {\n \"21026\": \"how many days ?\"\n },\n {\n \"21027\": \"how old was he ?\"\n },\n {\n \"21028\": \"how many places did he go for repairs ?\"\n },\n {\n \"21029\": \"what is the 1st one\"\n },\n {\n \"21030\": \"and twice where ?\"\n },\n {\n \"21031\": \"per what ?\"\n },\n {\n \"21032\": \"did they have bad weather ?\"\n },\n {\n \"21033\": \"where ?\"\n },\n {\n \"21034\": \"between ?\"\n },\n {\n \"21035\": \"what title did he earn ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21016\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"21017\",\n \"answer\": \"Perham\"\n },\n {\n \"question_id\": \"21018\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"21019\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"21020\",\n \"answer\": \"father\"\n },\n {\n \"question_id\": \"21021\",\n \"answer\": \"Peter Perham\"\n },\n {\n \"question_id\": \"21022\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21023\",\n \"answer\": \"November 18,\"\n },\n {\n \"question_id\": \"21024\",\n \"answer\": \"2008\"\n },\n {\n \"question_id\": \"21025\",\n \"answer\": \"30,000\"\n },\n {\n \"question_id\": \"21026\",\n \"answer\": \"282\"\n },\n {\n \"question_id\": \"21027\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"21028\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"21029\",\n \"answer\": \"Portugal\"\n },\n {\n \"question_id\": \"21030\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"21031\",\n \"answer\": \"Web site.\"\n },\n {\n \"question_id\": \"21032\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21033\",\n \"answer\": \"Southern Ocean\"\n },\n {\n \"question_id\": \"21034\",\n \"answer\": \"ustralia and Antarctica\"\n },\n {\n \"question_id\": \"21035\",\n \"answer\": \"Youngest Sailor to Circumnavigate the Globe Solo\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 CHAPTER XI. OF A WOMAN'S OBSTINACY \n\n\"M. de Luynes is a wizard,\" quoth Andrea, laughing, in answer to something that had been said. \n\nIt was afternoon. We had dined, and the bright sunshine and spring-like mildness of the weather had lured us out upon the terrace. Yvonne and Geneviève occupied the stone seat. Andrea had perched himself upon the granite balustrade, and facing them he sat, swinging his shapely legs to and fro as he chatted merrily, whilst on either side of him stood the Chevalier de Canaples and I. \n\n\"If M. de Luynes be as great a wizard in other things as with the sword, then, pardieu, he is a fearful magician,\" said Canaples. \n\nI bowed, yet not so low but that I detected a sneer on Yvonne's lips. \n\n\"So, pretty lady,\" said I to myself, \"we shall see if presently your lip will curl when I show you something of my wizard's art.\" \n\nAnd presently my chance came. M. de Canaples found reason to leave us, and no sooner was he gone than Geneviève remembered that she had that day discovered a budding leaf upon one of the rose bushes in the garden below. Andrea naturally caused an argument by asserting that she was the victim of her fancy, as it was by far too early in the year. By that means these two found the plea they sought for quitting us, since neither could rest until the other was convinced. \n\nSo down they went into that rose garden which methought was like to prove their fool's paradise, and Yvonne and I were left alone. Then she also rose, but as she was on the point of quitting me: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25331\": \"How's the weather?\"\n },\n {\n \"25332\": \"Is it cold?\"\n },\n {\n \"25333\": \"Where are they hanging out?\"\n },\n {\n \"25334\": \"What made them go out there?\"\n },\n {\n \"25335\": \"How many people are there?\"\n },\n {\n \"25336\": \"Where are Yvonne and Genevieve seated?\"\n },\n {\n \"25337\": \"What about Andrea?\"\n },\n {\n \"25338\": \"What are the other two doing?\"\n },\n {\n \"25339\": \"Who is being referred to as a male witch?\"\n },\n {\n \"25340\": \"Who thinks that's funny?\"\n },\n {\n \"25341\": \"Does Canaples think he'd be good at magic?\"\n },\n {\n \"25342\": \"Is the narrator attracted to someone?\"\n },\n {\n \"25343\": \"Who?\"\n },\n {\n \"25344\": \"What does Genevieve think she saw in the garden?\"\n },\n {\n \"25345\": \"On what kind of plant?\"\n },\n {\n \"25346\": \"Who thought that was stupid?\"\n },\n {\n \"25347\": \"Why?\"\n },\n {\n \"25348\": \"Did they leave?\"\n },\n {\n \"25349\": \"Where did they head?\"\n },\n {\n \"25350\": \"Who's left?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"25331\",\n \"answer\": \"spring-like\"\n },\n {\n \"question_id\": \"25332\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25333\",\n \"answer\": \"the terrace\"\n },\n {\n \"question_id\": \"25334\",\n \"answer\": \"the weather\"\n },\n {\n \"question_id\": \"25335\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"25336\",\n \"answer\": \"the stone seat\"\n },\n {\n \"question_id\": \"25337\",\n \"answer\": \"upon the granite balustrade\"\n },\n {\n \"question_id\": \"25338\",\n \"answer\": \"standing on either side of Andrea\"\n },\n {\n \"question_id\": \"25339\",\n \"answer\": \"M. de Luynes\"\n },\n {\n \"question_id\": \"25340\",\n \"answer\": \"Andrea\"\n },\n {\n \"question_id\": \"25341\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25342\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25343\",\n \"answer\": \"Yvonne\"\n },\n {\n \"question_id\": \"25344\",\n \"answer\": \"a budding leaf\"\n },\n {\n \"question_id\": \"25345\",\n \"answer\": \"a rose bush\"\n },\n {\n \"question_id\": \"25346\",\n \"answer\": \"Andrea\"\n },\n {\n \"question_id\": \"25347\",\n \"answer\": \"it was too early in the year\"\n },\n {\n \"question_id\": \"25348\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25349\",\n \"answer\": \"the rose garden\"\n },\n {\n \"question_id\": \"25350\",\n \"answer\": \"Yvonne and the narrator\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 BeiDou Navigation Satellite System (BDS, simplified Chinese: 北斗卫星导航系统; traditional Chinese: 北斗衛星導航系統; pinyin: Běidǒu wèixīng dǎoháng xìtǒng) is a Chinese satellite navigation system. It consists of two separate satellite constellations – a limited test system that has been operating since 2000, and a full-scale global navigation system that is currently under construction. \n\nThe first BeiDou system, officially called the BeiDou Satellite Navigation Experimental System (simplified Chinese: 北斗卫星导航试验系统; traditional Chinese: 北斗衛星導航試驗系統; pinyin: Běidǒu wèixīng dǎoháng shìyàn xìtǒng) and also known as BeiDou-1, consists of three satellites and offers limited coverage and applications. It has been offering navigation services, mainly for customers in China and neighboring regions, since 2000. \n\nThe second generation of the system, officially called the BeiDou Navigation Satellite System (BDS) and also known as COMPASS or BeiDou-2, will be a global satellite navigation system consisting of 35 satellites, and is under construction as of January 2015[update]. It became operational in China in December 2011, with 10 satellites in use, and began offering services to customers in the Asia-Pacific region in December 2012. It is planned to begin serving global customers upon its completion in 2020.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91128\": \"When will it begin to serve globally?\"\n },\n {\n \"91129\": \"What is the BDS?\"\n },\n {\n \"91130\": \"What is BDS an acronym for?\"\n },\n {\n \"91131\": \"What's the name in traditional Chinese?\"\n },\n {\n \"91132\": \"What is the English translation of the Chinese characters?\"\n },\n {\n \"91133\": \"How many constellations are there?\"\n },\n {\n \"91134\": \"When did the limited constellation start working?\"\n },\n {\n \"91135\": \"Is the full system working?\"\n },\n {\n \"91136\": \"Why not?\"\n },\n {\n \"91137\": \"Which one was first operational?\"\n },\n {\n \"91138\": \"How many satellites?\"\n },\n {\n \"91139\": \"Did it have full coverage?\"\n },\n {\n \"91140\": \"Who were it's main clients?\"\n },\n {\n \"91141\": \"What was the second one called?\"\n },\n {\n \"91142\": \"Will it have a lot of satellites?\"\n },\n {\n \"91143\": \"When did they start building?\"\n },\n {\n \"91144\": \"How many satellites were up in 2011?\"\n },\n {\n \"91145\": \"Who did those serve?\"\n },\n {\n \"91146\": \"Where else?\"\n },\n {\n \"91147\": \"Are there plans for global service?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91128\",\n \"answer\": \"upon its completion in 2020\"\n },\n {\n \"question_id\": \"91129\",\n \"answer\": \"a Chinese satellite navigation system.\"\n },\n {\n \"question_id\": \"91130\",\n \"answer\": \"BeiDou Navigation Satellite System\"\n },\n {\n \"question_id\": \"91131\",\n \"answer\": \"\\u5317\\u6597\\u885b\\u661f\\u5c0e\\u822a\\u7cfb\\u7d71\"\n },\n {\n \"question_id\": \"91132\",\n \"answer\": \"The English transliteration is B\\u011bid\\u01d2u w\\u00e8ix\\u012bng d\\u01ceoh\\u00e1ng x\\u00ect\\u01d2ng\"\n },\n {\n \"question_id\": \"91133\",\n \"answer\": \"Two.\"\n },\n {\n \"question_id\": \"91134\",\n \"answer\": \"2000\"\n },\n {\n \"question_id\": \"91135\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91136\",\n \"answer\": \"It is under construction.\"\n },\n {\n \"question_id\": \"91137\",\n \"answer\": \"The BeiDou Satellite Navigation Experimental System\"\n },\n {\n \"question_id\": \"91138\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"91139\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91140\",\n \"answer\": \"customers in China and neighboring regions\"\n },\n {\n \"question_id\": \"91141\",\n \"answer\": \"The BeiDou Navigation Satellite System (BDS), also known as COMPASS or BeiDou-2\"\n },\n {\n \"question_id\": \"91142\",\n \"answer\": \"If 35 is a lot, then yes.\"\n },\n {\n \"question_id\": \"91143\",\n \"answer\": \"January 2015\"\n },\n {\n \"question_id\": \"91144\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"91145\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"91146\",\n \"answer\": \"Customers in the Asia-Pacific region, but not in 2011\"\n },\n {\n \"question_id\": \"91147\",\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 III \n\nIN THE LOW COUNTRY \n\nMaster Lirriper had stood apart while the boys were conversing with Francis Vere. \n\n\"What do you think, Master Lirriper?\" Geoffrey exclaimed as they joined him. \"We have asked Mr. Vere to take us with him as pages to the war in the Low Country, and though he said we were not to be hopeful about his reply, I do think he will take us. We are to go round to Westminster at one o'clock to see him again. What do you think of that?\" \n\n\"I don't know what to think, Master Geoffrey. It takes me all by surprise, and I don't know how I stand in the matter. You see, your father gave you into my charge, and what could I say to him if I went back empty handed?\" \n\n\"But, you see, it is with Francis Vere,\" Geoffrey said. \"If it had been with anyone else it would be different. But the Veres are his patrons, and he looks upon the earl, and Mr. Francis and his brothers, almost as he does on us; and, you know, he has already consented to our entering the army some day. Besides, he can't blame you; because, of course, Mr. Vere will write to him himself and say that he has taken us, and so you can't be blamed in the matter. My father would know well enough that you could not withstand the wishes of one of the Veres, who are lords of Hedingham and all the country round.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27556\": \"Who were the boys talking to?\"\n },\n {\n \"27557\": \"Before him, who were they talking to?\"\n },\n {\n \"27558\": \"Name one of the boy?\"\n },\n {\n \"27559\": \"Is the other boy's name known?\"\n },\n {\n \"27560\": \"What did they ask Mr Vere?\"\n },\n {\n \"27561\": \"Did Mr Vere ask them to be hopeful of his reply?\"\n },\n {\n \"27562\": \"Where were they going to see him?\"\n },\n {\n \"27563\": \"What time?\"\n },\n {\n \"27564\": \"The father had given Geoffrey to whose charge?\"\n },\n {\n \"27565\": \"Who are the lords of Hedingham?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27556\",\n \"answer\": \"Master Lirriper\"\n },\n {\n \"question_id\": \"27557\",\n \"answer\": \"Francis Vere\"\n },\n {\n \"question_id\": \"27558\",\n \"answer\": \"Geoffrey\"\n },\n {\n \"question_id\": \"27559\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"27560\",\n \"answer\": \"to take them with him as pages\"\n },\n {\n \"question_id\": \"27561\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27562\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27563\",\n \"answer\": \"one o'clock\"\n },\n {\n \"question_id\": \"27564\",\n \"answer\": \"Master Lirriper\"\n },\n {\n \"question_id\": \"27565\",\n \"answer\": \"the Veres\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 CHAPTER XXII--FIXING THE BOUNDS \n\nLeonard came towards Normanstand next forenoon in considerable mental disturbance. In the first place he was seriously in love with Stephen, and love is in itself a disturbing influence. \n\nLeonard's love was all of the flesh; and as such had power at present to disturb him, as it would later have power to torture him. Again, he was disturbed by the fear of losing Stephen, or rather of not being able to gain her. At first, ever since she had left him on the path from the hilltop till his interview the next day, he had looked on her possession as an 'option,' to the acceptance of which circumstances seemed to be compelling him. But ever since, that asset seemed to have been dwindling; and now he was almost beginning to despair. He was altogether cold at heart, and yet highly strung with apprehension, as he was shown into the blue drawing-room. \n\nStephen came in alone, closing the door behind her. She shook hands with him, and sat down by a writing-table near the window, pointing to him to sit on an ottoman a little distance away. The moment he sat down he realised that he was at a disadvantage; he was not close to her, and he could not get closer without manifesting his intention of so doing. He wanted to be closer, both for the purpose of his suit and for his own pleasure; the proximity of Stephen began to multiply his love for her. He thought that to-day she looked better than ever, of a warm radiant beauty which touched his senses with unattainable desire. She could not but notice the passion in his eyes, and instinctively her eyes wandered to a silver gong placed on the table well within reach. The more he glowed, the more icily calm she sat, till the silence between them began to grow oppressive. She waited, determined that he should be the first to speak. Recognising the helplessness of silence, he began huskily: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28653\": \"Who was Leonard's true love?\"\n },\n {\n \"28654\": \"Was Stephen a man or a woman?\"\n },\n {\n \"28655\": \"Where was Leonard when she left him?\"\n },\n {\n \"28656\": \"How was Leonard feeling?\"\n },\n {\n \"28657\": \"In what room did they meet?\"\n },\n {\n \"28658\": \"How did she greet him?\"\n },\n {\n \"28659\": \"Where did she want him to sit?\"\n },\n {\n \"28660\": \"What color was the room?\"\n },\n {\n \"28661\": \"Who spoke first?\"\n },\n {\n \"28662\": \"Why did he feel that he was at a disadvantage?\"\n },\n {\n \"28663\": \"What was noticeable about his eyes?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28653\",\n \"answer\": \"Stephen\"\n },\n {\n \"question_id\": \"28654\",\n \"answer\": \"a woman\"\n },\n {\n \"question_id\": \"28655\",\n \"answer\": \"hilltop\"\n },\n {\n \"question_id\": \"28656\",\n \"answer\": \"apprehension\"\n },\n {\n \"question_id\": \"28657\",\n \"answer\": \"drawing-room.\"\n },\n {\n \"question_id\": \"28658\",\n \"answer\": \"She shook hands with him\"\n },\n {\n \"question_id\": \"28659\",\n \"answer\": \"ottoman\"\n },\n {\n \"question_id\": \"28660\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"28661\",\n \"answer\": \"Leonard\"\n },\n {\n \"question_id\": \"28662\",\n \"answer\": \"he was not close to her\"\n },\n {\n \"question_id\": \"28663\",\n \"answer\": \"passion\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nA GENEROUS OFFER \n\nIt was late in the afternoon of the next day when Harry and I sat figuring in our shanty, while Johnston lay on a heap of cedar twigs sucking at his pipe and encouraging us languidly. \n\n\"I never could stand figures, and that's perhaps why I'm poor,\" he said. \"Go on, you are doing famously, and, though Ralph can't add up correctly to save his life, I'll take your word for it.\" \n\nHe formed a characteristic picture of the free lance as he lay there, bronzed and blonde-bearded, with his massy limbs disposed in an attitude of easy grace, awaiting the result with a careless unconcern until Harry flung a long boot at him as a signal for silence. \n\n\"As the surveyor told you, Ralph, we can't well lose money on this last venture, even if we wanted to,\" said Harry at length. \"You'll observe I'm almost getting superstitious. Now, on cashing the order, we can repay your loan, keeping back sufficient to meet emergencies, while with the rest one of us could return to Fairmead and plough every available acre for next spring's sowing. Many things suggest that you are the one to go. Johnston and I with the others could get the timber out during the winter--we have worked in the snow before--and I would join you in the spring. That, however, again raises a point that must be settled once for all. Are we to hold on to our first ambition, or turn contractors?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51905\": \"When were they in the shanty?\"\n },\n {\n \"51906\": \"of what day?\"\n },\n {\n \"51907\": \"and who was doing math?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"51905\",\n \"answer\": \"in the afternoon\"\n },\n {\n \"question_id\": \"51906\",\n \"answer\": \"of the next day\"\n },\n {\n \"question_id\": \"51907\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Munich is the capital and the most populated city in the German state of Bavaria, on the banks of River Isar north of the Bavarian Alps. Munich is also the third largest city in Germany, after Berlin and Hamburg, and the 12th biggest city of the European Union, with a population of around 1.5 million. The Munich Metropolitan Region is home to 6 million people. \n\nThe city is a major centre of art, advanced technologies, finance, publishing, culture, innovation, education, business, and tourism in Germany and Europe and enjoys a very high standard and quality of living, reaching first in Germany and fourth worldwide according to the 2015 Mercer survey. According to the Globalization and World Rankings Research Institute Munich is considered an alpha-world city, . \n\nThe name of the city is derived from the Old/Middle High German term \"Munichen\", meaning \"by the monks\", which in turn is derived from Mönch (which in the end derives from ancient Greek μοναχός). It derives from the monks of the Benedictine order, who ran a monastery at the place that was later to become the Old Town of Munich; hence the monk depicted on the city's coat of arms. Munich was first mentioned in 1158. From 1255 the city was seat of the Bavarian Dukes. Black and gold – the colours of the Holy Roman Empire – have been the city's official colours since the time of Ludwig the Bavarian, when it was an imperial residence. Following a final reunification of the Wittelsbachian Duchy of Bavaria, previously divided and sub-divided for more than 200 years, the town became the country's sole capital in 1506.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99578\": \"Where is the name Munich derived from?\"\n },\n {\n \"99579\": \"what does it mean?\"\n },\n {\n \"99580\": \"Where is it located?\"\n },\n {\n \"99581\": \"what country?\"\n },\n {\n \"99582\": \"What is the city living like?\"\n },\n {\n \"99583\": \"How is it rated in Germany?\"\n },\n {\n \"99584\": \"and the world?\"\n },\n {\n \"99585\": \"according to what?\"\n },\n {\n \"99586\": \"what happened in 1158?\"\n },\n {\n \"99587\": \"what are the coloors of the Roman Empire?\"\n },\n {\n \"99588\": \"Since when have the colors been offical?\"\n },\n {\n \"99589\": \"WHat type of residence was it then?\"\n },\n {\n \"99590\": \"According to who is the it considered and alpha city?\"\n },\n {\n \"99591\": \"Is Munich the largest city in Germany?\"\n },\n {\n \"99592\": \"how is it ranked?\"\n },\n {\n \"99593\": \"how is it ranked in the European Union?\"\n },\n {\n \"99594\": \"What is the population?\"\n },\n {\n \"99595\": \"is it the most populated in Bavaria?\"\n },\n {\n \"99596\": \"Where was the monastery?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99578\",\n \"answer\": \"Munichen\"\n },\n {\n \"question_id\": \"99579\",\n \"answer\": \"by the monks\"\n },\n {\n \"question_id\": \"99580\",\n \"answer\": \"Bavaria,\"\n },\n {\n \"question_id\": \"99581\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"99582\",\n \"answer\": \"a very high quality of living,\"\n },\n {\n \"question_id\": \"99583\",\n \"answer\": \"first\"\n },\n {\n \"question_id\": \"99584\",\n \"answer\": \"fourth\"\n },\n {\n \"question_id\": \"99585\",\n \"answer\": \"2015 Mercer survey.\"\n },\n {\n \"question_id\": \"99586\",\n \"answer\": \"Munich was first mentioned\"\n },\n {\n \"question_id\": \"99587\",\n \"answer\": \". Black and gold\"\n },\n {\n \"question_id\": \"99588\",\n \"answer\": \"since the time of Ludwig the Bavarian,\"\n },\n {\n \"question_id\": \"99589\",\n \"answer\": \"an imperial residence\"\n },\n {\n \"question_id\": \"99590\",\n \"answer\": \"the Globalization and World Rankings Research Institute\"\n },\n {\n \"question_id\": \"99591\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99592\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"99593\",\n \"answer\": \"12th\"\n },\n {\n \"question_id\": \"99594\",\n \"answer\": \"1.5\\u00a0million\"\n },\n {\n \"question_id\": \"99595\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99596\",\n \"answer\": \"at the place that was later to become the Old Town of Munich\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII. ST. VALENTINE'S DAY \n\n\n\nMiss Mohun came back in the dark after a long day, for once in her life quite jaded, and explaining that the health-officer and the landlord had been by no means agreed, and that nothing could be done till Sir Jasper came home and decided whether to retain the house or not. \n\nAll that she was clear about, and which she had telegraphed to Aden, was, that there must be no going back to Silverfold for the present, and she was prepared to begin lodging-hunting as soon as she received an answer. \n\n'And how have you got on?' she asked, thinking all looked rather blank. \n\n'We haven't been to see Fly,' broke out Valetta, 'though she went out on the beach, and Mysie must not stay out after dark, for fear she should cough.' \n\n'Mysie says they are afraid of excitement,' said Gillian gloomily. \n\n'Then you have seen nothing of the others?' \n\n'Yes, I have seen Victoria, said Aunt Adeline, with a meaning smile. \n\nMiss Mohun went up to take off her things, and Gillian followed her, shutting the door with ominous carefulness, and colouring all over. \n\n'Aunt Jane, I ought to tell you. A dreadful thing has happened!' \n\n'Indeed, my dear! What?' \n\n'I have had a valentine.' \n\n'Oh!' repressing a certain inclination to laugh at the bathos from the look of horror and shame in the girl's eyes. \n\n'It is from that miserable Alexis! Oh, I know I brought it on myself, and I have been so wretched and so ashamed all day.' \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19058\": \"Who was a telegram sent to?\"\n },\n {\n \"19059\": \"Did it instruct him not to return to a certain place?\"\n },\n {\n \"19060\": \"Where?\"\n },\n {\n \"19061\": \"Who must return home before anything could be done?\"\n },\n {\n \"19062\": \"What was he to make a decision about?\"\n },\n {\n \"19063\": \"Did someone need to refrain from being in darkness?\"\n },\n {\n \"19064\": \"Who?\"\n },\n {\n \"19065\": \"Who related this information?\"\n },\n {\n \"19066\": \"Who made a trip to the beach?\"\n },\n {\n \"19067\": \"Who trailed Miss Mohan?\"\n },\n {\n \"19068\": \"Did she leave the door ajar?\"\n },\n {\n \"19069\": \"Was Gillian described as cheery?\"\n },\n {\n \"19070\": \"How was she described?\"\n },\n {\n \"19071\": \"Who did the Aunt claim to have seen?\"\n },\n {\n \"19072\": \"What is the Aunt's first name?\"\n },\n {\n \"19073\": \"What expression did she have on her face?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"19058\",\n \"answer\": \"Aden\"\n },\n {\n \"question_id\": \"19059\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19060\",\n \"answer\": \"back to Silverfold\"\n },\n {\n \"question_id\": \"19061\",\n \"answer\": \"Sir Jasper\"\n },\n {\n \"question_id\": \"19062\",\n \"answer\": \"whether to retain the house or not\"\n },\n {\n \"question_id\": \"19063\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"19064\",\n \"answer\": \"Mysie\"\n },\n {\n \"question_id\": \"19065\",\n \"answer\": \"Valetta\"\n },\n {\n \"question_id\": \"19066\",\n \"answer\": \"Fly\"\n },\n {\n \"question_id\": \"19067\",\n \"answer\": \"Gillian\"\n },\n {\n \"question_id\": \"19068\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19069\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19070\",\n \"answer\": \"gloomy\"\n },\n {\n \"question_id\": \"19071\",\n \"answer\": \"Victoria\"\n },\n {\n \"question_id\": \"19072\",\n \"answer\": \"Adeline\"\n },\n {\n \"question_id\": \"19073\",\n \"answer\": \"a meaning smile.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Bertrand Arthur William Russell, 3rd Earl Russell, (; 18 May 1872 – 2 February 1970) was a British philosopher, logician, mathematician, historian, writer, social critic, political activist and Nobel laureate. At various points in his life he considered himself a liberal, a socialist, and a pacifist, but he also admitted that he had \"never been any of these things, in any profound sense\". He was born in Monmouthshire into one of the most prominent aristocratic families in the United Kingdom. \n\nIn the early 20th century, Russell led the British \"revolt against idealism\". He is considered one of the founders of analytic philosophy along with his predecessor Gottlob Frege, colleague G. E. Moore, and protégé Ludwig Wittgenstein. He is widely held to be one of the 20th century's premier logicians. With A. N. Whitehead he wrote \"Principia Mathematica\", an attempt to create a logical basis for mathematics. His philosophical essay \"On Denoting\" has been considered a \"paradigm of philosophy\". His work has had a considerable influence on mathematics, logic, set theory, linguistics, artificial intelligence, cognitive science, computer science (see type theory and type system), and philosophy, especially the philosophy of language, epistemology, and metaphysics. \n\nRussell was a prominent anti-war activist; he championed anti-imperialism. Occasionally, he advocated preventive nuclear war, before the opportunity provided by the atomic monopoly had passed, and \"welcomed with enthusiasm\" world government. He went to prison for his pacifism during World War I. Later, he concluded war against Adolf Hitler was a necessary \"lesser of two evils\". He criticized Stalinist totalitarianism, attacked the involvement of the United States in the Vietnam War, and was an outspoken proponent of nuclear disarmament. In 1950 Russell was awarded the Nobel Prize in Literature \"in recognition of his varied and significant writings in which he champions humanitarian ideals and freedom of thought\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36207\": \"what was his philosophical essay considered?\"\n },\n {\n \"36208\": \"Was he an anti-war?\"\n },\n {\n \"36209\": \"What is he considered a founder of?\"\n },\n {\n \"36210\": \"When was he born?\"\n },\n {\n \"36211\": \"Did he go to prison?\"\n },\n {\n \"36212\": \"why?\"\n },\n {\n \"36213\": \"when?\"\n },\n {\n \"36214\": \"What did he champion?\"\n },\n {\n \"36215\": \"What did he say about the war against Hitler?\"\n },\n {\n \"36216\": \"Where was he born?\"\n },\n {\n \"36217\": \"what town?\"\n },\n {\n \"36218\": \"Did he win any prizes?\"\n },\n {\n \"36219\": \"which?\"\n },\n {\n \"36220\": \"for?\"\n },\n {\n \"36221\": \"Who did he write with?\"\n },\n {\n \"36222\": \"What did they write?\"\n },\n {\n \"36223\": \"About?\"\n },\n {\n \"36224\": \"What did he advocate occasionally?\"\n },\n {\n \"36225\": \"When did he die?\"\n },\n {\n \"36226\": \"was his work influential?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36207\",\n \"answer\": \"a \\\"paradigm of philosophy\\\".\"\n },\n {\n \"question_id\": \"36208\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36209\",\n \"answer\": \"analytic philosophy\"\n },\n {\n \"question_id\": \"36210\",\n \"answer\": \"18 May 1872\"\n },\n {\n \"question_id\": \"36211\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36212\",\n \"answer\": \"pacifism\"\n },\n {\n \"question_id\": \"36213\",\n \"answer\": \"during World War I\"\n },\n {\n \"question_id\": \"36214\",\n \"answer\": \"anti-imperialism\"\n },\n {\n \"question_id\": \"36215\",\n \"answer\": \"it was a necessary \\\"lesser of two evils\\\"\"\n },\n {\n \"question_id\": \"36216\",\n \"answer\": \"Great Britain\"\n },\n {\n \"question_id\": \"36217\",\n \"answer\": \"Monmouthshire\"\n },\n {\n \"question_id\": \"36218\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36219\",\n \"answer\": \"the Nobel Prize\"\n },\n {\n \"question_id\": \"36220\",\n \"answer\": \"Literature\"\n },\n {\n \"question_id\": \"36221\",\n \"answer\": \"A. N. Whitehead\"\n },\n {\n \"question_id\": \"36222\",\n \"answer\": \"\\\"Principia Mathematica\\\"\"\n },\n {\n \"question_id\": \"36223\",\n \"answer\": \"logical basis for mathematics\"\n },\n {\n \"question_id\": \"36224\",\n \"answer\": \"preventive nuclear war\"\n },\n {\n \"question_id\": \"36225\",\n \"answer\": \"2 February 1970\"\n },\n {\n \"question_id\": \"36226\",\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 Jim and Linda are our neighbors. Jim and Linda have an old dog named Reggie. We love our neighbors. They are like the perfect grandparents. We watch Reggie for them when they go out of town to see their children and grandchildren. Reggie is so fun to have around. He is 14 years old. We have 3 other dogs and Reggie is older than all of them. They all listen to what Reggie tells them to do. It is fun to see them respect him. \n\nWe are watching Reggie now. He is staying with us for 3 weeks. He likes to go for rides in the car. He likes to go for walks. \n\nThis time, when Jim and Linda dropped Reggie off, Jim picked up mom's guitar and played us a song. He was really good! Then Jim and Linda sang a song for us. \n\nI can see why Reggie misses them when they are gone. They are so nice! We give Reggie lots of love so that he is happy at our house when they are on vacation. \n\nHe likes our dogs and cats. We have a big black dog named Able. We have a little dog named Mudpuppy and we have a puppy named Goldberry. We have two cats. One of our cats is named Glitch. She has lots of colors. We also have a white kitten named Vex. \n\nOne of the best things about watching Reggie is that we know when Jim and Linda come home, Linda bakes us a cherry pie for taking care of Reggie. She makes delicious pie. We are very lucky to have such nice neighbors!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66993\": \"Who is Linda?\"\n },\n {\n \"66994\": \"Who is Jim?\"\n },\n {\n \"66995\": \"How is Jim related to Linda?\"\n },\n {\n \"66996\": \"Who is Reggie?\"\n },\n {\n \"66997\": \"How old is he?\"\n },\n {\n \"66998\": \"How many dogs do we have?\"\n },\n {\n \"66999\": \"What are we doing now?\"\n },\n {\n \"67000\": \"For how long?\"\n },\n {\n \"67001\": \"What does he like to do?\"\n },\n {\n \"67002\": \"What did Jim do after dropping off Reggie?\"\n },\n {\n \"67003\": \"And then what?\"\n },\n {\n \"67004\": \"Does Reggie like other animals?\"\n },\n {\n \"67005\": \"What other animals do we have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66993\",\n \"answer\": \"neighbor\"\n },\n {\n \"question_id\": \"66994\",\n \"answer\": \"neighbor\"\n },\n {\n \"question_id\": \"66995\",\n \"answer\": \"son\"\n },\n {\n \"question_id\": \"66996\",\n \"answer\": \"dog\"\n },\n {\n \"question_id\": \"66997\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"66998\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"66999\",\n \"answer\": \"watching Reggie\"\n },\n {\n \"question_id\": \"67000\",\n \"answer\": \"3 weeks\"\n },\n {\n \"question_id\": \"67001\",\n \"answer\": \"go for rides\"\n },\n {\n \"question_id\": \"67002\",\n \"answer\": \"played a song\"\n },\n {\n \"question_id\": \"67003\",\n \"answer\": \"Jim and Linda sang a song\"\n },\n {\n \"question_id\": \"67004\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67005\",\n \"answer\": \"dogs and cats\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. THE HOUSE IN SOHO \n\nWHITTINGTON and his companion were walking at a good pace. Tommy started in pursuit at once, and was in time to see them turn the corner of the street. His vigorous strides soon enabled him to gain upon them, and by the time he, in his turn, reached the corner the distance between them was sensibly lessened. The small Mayfair streets were comparatively deserted, and he judged it wise to content himself with keeping them in sight. \n\nThe sport was a new one to him. Though familiar with the technicalities from a course of novel reading, he had never before attempted to \"follow\" anyone, and it appeared to him at once that, in actual practice, the proceeding was fraught with difficulties. Supposing, for instance, that they should suddenly hail a taxi? In books, you simply leapt into another, promised the driver a sovereign--or its modern equivalent--and there you were. In actual fact, Tommy foresaw that it was extremely likely there would be no second taxi. Therefore he would have to run. What happened in actual fact to a young man who ran incessantly and persistently through the London streets? In a main road he might hope to create the illusion that he was merely running for a bus. But in these obscure aristocratic byways he could not but feel that an officious policeman might stop him to explain matters. \n\nAt this juncture in his thoughts a taxi with flag erect turned the corner of the street ahead. Tommy held his breath. Would they hail it? \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93232\": \"who held thier breath ?\"\n },\n {\n \"93233\": \"what was a new one to them ?\"\n },\n {\n \"93234\": \"who was walking at a norman speed ?\"\n },\n {\n \"93235\": \"and who else ?\"\n },\n {\n \"93236\": \"what was deserted ?\"\n },\n {\n \"93237\": \"were they large ?\"\n },\n {\n \"93238\": \"what size ?\"\n },\n {\n \"93239\": \"what streets were someone persistently running ?\"\n },\n {\n \"93240\": \"why did he have to run ?\"\n },\n {\n \"93241\": \"who thought this ?\"\n },\n {\n \"93242\": \"what did they do in books ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93232\",\n \"answer\": \"Tommy\"\n },\n {\n \"question_id\": \"93233\",\n \"answer\": \"sport\"\n },\n {\n \"question_id\": \"93234\",\n \"answer\": \"WHITTINGTON\"\n },\n {\n \"question_id\": \"93235\",\n \"answer\": \"his companion\"\n },\n {\n \"question_id\": \"93236\",\n \"answer\": \"Mayfair streets\"\n },\n {\n \"question_id\": \"93237\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93238\",\n \"answer\": \"small\"\n },\n {\n \"question_id\": \"93239\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"93240\",\n \"answer\": \"there would be no second taxi\"\n },\n {\n \"question_id\": \"93241\",\n \"answer\": \"Tommy\"\n },\n {\n \"question_id\": \"93242\",\n \"answer\": \"leapt into another\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II \n\nA VISIT TO THE NAVY-YARD \n\nThere was a rush of business at the news-stand between twelve and one o'clock, but shortly after one this died away, and inside of half an hour Phil Newell told Walter that they might be on their way--\"If you are bound to enlist in Uncle Sam's service,\" he added. \n\nWalter made sure that the paper containing Job Dowling's permission for him to enter the navy was safe in his coat pocket, and then announced his readiness to depart. The owner of the stand called up Dan Brown and gave him a few directions, and in another minute Newell and Walter had boarded a Charlestown car and were off. \n\n\"I haven't been over to the navy-yard for several years,\" remarked Phil Newell, as they rode along. \"I used to know several of the boys that were there, but they've grown too old for the service. I reckon the yard is a busy place these days.\" \n\nAnd a busy place it proved to be as they turned into Chelsea Street, and moved along the solid granite wall which separates the yard from the public thoroughfare. From beyond came the creaking of hoists, and the ringing of countless hammers and anvils, for the government employees were hard at work, fitting out a warship or two and converting several private vessels into naval craft. \n\n\"I don't know if I'm just right about this,\" went on Phil Newell, as they headed for one of the numerous buildings near the wall, after being passed by a guard. \"It may be that they want to keep strangers out, now the war is on, and you'll have to go elsewhere to sign articles. But I know old Caleb Walton is here, and he'll tell me all he can, and set us straight.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49187\": \"Was the newsstand busy all day?\"\n },\n {\n \"49188\": \"When was the busiest time?\"\n },\n {\n \"49189\": \"What service was Walter joining?\"\n },\n {\n \"49190\": \"Which branch?\"\n },\n {\n \"49191\": \"Who gave him permission?\"\n },\n {\n \"49192\": \"Where did he put his slip?\"\n },\n {\n \"49193\": \"How did he travel?\"\n },\n {\n \"49194\": \"With whom?\"\n },\n {\n \"49195\": \"What street was their destination on?\"\n },\n {\n \"49196\": \"Had Phil been there recently?\"\n },\n {\n \"49197\": \"How did he estimate it functioned?\"\n },\n {\n \"49198\": \"Was he correct?\"\n },\n {\n \"49199\": \"What sounds could be heard?\"\n },\n {\n \"49200\": \"What were they working on?\"\n },\n {\n \"49201\": \"How were private vessels reused?\"\n },\n {\n \"49202\": \"Did Phil have doubts upon arrival?\"\n },\n {\n \"49203\": \"What would this mean for Walter?\"\n },\n {\n \"49204\": \"Did Phil know someone to consult?\"\n },\n {\n \"49205\": \"Who?\"\n },\n {\n \"49206\": \"What divided the shipyard from the public?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49187\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49188\",\n \"answer\": \"between twelve and one o'clock\"\n },\n {\n \"question_id\": \"49189\",\n \"answer\": \"Uncle Sam's\"\n },\n {\n \"question_id\": \"49190\",\n \"answer\": \"the navy\"\n },\n {\n \"question_id\": \"49191\",\n \"answer\": \"Job Dowling\"\n },\n {\n \"question_id\": \"49192\",\n \"answer\": \"his coat pocket\"\n },\n {\n \"question_id\": \"49193\",\n \"answer\": \"in a Charlestown car\"\n },\n {\n \"question_id\": \"49194\",\n \"answer\": \"Phil Newell\"\n },\n {\n \"question_id\": \"49195\",\n \"answer\": \"Chelsea Street\"\n },\n {\n \"question_id\": \"49196\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49197\",\n \"answer\": \"busily\"\n },\n {\n \"question_id\": \"49198\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49199\",\n \"answer\": \"creaking and ringing\"\n },\n {\n \"question_id\": \"49200\",\n \"answer\": \"a warship\"\n },\n {\n \"question_id\": \"49201\",\n \"answer\": \"as naval craft\"\n },\n {\n \"question_id\": \"49202\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49203\",\n \"answer\": \"he'l have to go elsewhere to sign\"\n },\n {\n \"question_id\": \"49204\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49205\",\n \"answer\": \"Caleb Walton\"\n },\n {\n \"question_id\": \"49206\",\n \"answer\": \"a wall\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Doha, Qatar (CNN) -- An international donors' conference on Darfur kicked off Sunday in Doha with the hope of raising $7.25 billion to bring aid and sustainable development to the troubled region in Sudan. \n\n\"There is an opportunity to assist the people of Darfur through massive generosity,\" said Ali Al-Zatari, the representative of the United Nations Secretary-General Ban Ki-moon in Sudan. \n\n\"Darfur still needs stability,\" Al-Zatari added. He said 3.5 million people need humanitarian assistance, and 1.5 million of them live in camps. \n\nThe conference, whose participants include the UN, the governments of Qatar and Sudan, and the World Bank, seeks to \"to mobilize financial support for the recovery and development needs in Darfur.\" \n\nReactions to the conference, however, are mixed. \n\n\"The conference is a strong message to the Darfurian people that they are not forgotten,\" said Abdullah Adam Khatir, a Darfurian writer. \"It will take time, it's a process,.\" \n\nAl-Baqir Afifi, a civil society activist, on the other hand, disagreed with the conference's approach. \n\n\"Those who are going to pledge money want to know if the money is going to reach Darfur or not,\" he said. \"It is still insecure in Darfur; there is chaos,\" he added. \n\nProtests against the conference took place in some camps in Darfur last week. \n\n\"What are they going to do with this money when there is no security?\" an activist who preferred not to be named said, according to AFP. \n\nViolence broke out in Darfur in 2003 when non-Arab rebel groups took up arms against the central government in Khartoum, accusing it of neglect and discrimination. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24210\": \"How much money does the conference want to gather?\"\n },\n {\n \"24211\": \"True or False: Attitudes toward the conference are all positive.\"\n },\n {\n \"24212\": \"How many Dafurians need help?\"\n },\n {\n \"24213\": \"Do all of them live in camps?\"\n },\n {\n \"24214\": \"Who is Al-Baqir Afifi?\"\n },\n {\n \"24215\": \"Did he agree with the conference's plan?\"\n },\n {\n \"24216\": \"What does Al-Zatari thinks Darfur needs?\"\n },\n {\n \"24217\": \"Who is Al-Zatari?\"\n },\n {\n \"24218\": \"True or False: The UN took part in the conference.\"\n },\n {\n \"24219\": \"Which governments took part?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"24210\",\n \"answer\": \"$7.25 billion\"\n },\n {\n \"question_id\": \"24211\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24212\",\n \"answer\": \"3.5 million\"\n },\n {\n \"question_id\": \"24213\",\n \"answer\": \"1.5 million of them live in camps\"\n },\n {\n \"question_id\": \"24214\",\n \"answer\": \"a civil society activist\"\n },\n {\n \"question_id\": \"24215\",\n \"answer\": \"disagreed with the conference's approach.\"\n },\n {\n \"question_id\": \"24216\",\n \"answer\": \"humanitarian assistance\"\n },\n {\n \"question_id\": \"24217\",\n \"answer\": \"representative of the United Nations Secretary-General Ban Ki-moon in Sudan\"\n },\n {\n \"question_id\": \"24218\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24219\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Jewish organizations called for a Romanian official to resign and face a criminal investigation after he wore a Nazi uniform during a fashion show over the weekend. \n\nRadu Mazare, the mayor of the town of Constanta, wore a Nazi uniform during a fashion show over the weekend. \n\nRadu Mazare, the mayor of the town of Constanta, and his 15-year-old son \"entered the stage marching the clearly identifiable Nazi 'goose step,'\" the Center for Monitoring and Combating anti-Semitism in Romania said in a letter to the country's prosecutor general. \n\nThe organization's director, Marco Katz, said Mazare had broken Romanian law and encouraged his son to do the same, \"educating him to treat the law with contempt.\" \n\nKatz said Mazare was sending a message \"that to wear Nazi uniforms and to march the Nazi steps is legal and 'in vogue' in Romania.\" \n\nHe urged the authorities and the head of Mazare's Social Democrat party to show that message \"will be strongly countermanded.\" \n\nMazare, 41, said he had not noticed the Nazi swastika symbol on the uniform before he wore it, according to the Romanian Times newspaper. \n\n\"I checked it before I put it on but the swastika was very small and I didn't see it,\" he said. \"I really liked the look of the uniform after seeing it in the Tom Cruise film 'Valkyrie.' I bought it from a costume hire shop in Germany.\" \n\nA top Nazi hunter said Mazare should quit. \n\n\"The proper thing for you to do is to admit your mistake, apologize for it and resign your position,\" Efraim Zuroff of the Simon Wiesenthal Center in Jerusalem wrote to Mazare. Zuroff sent CNN a copy of the letter. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27836\": \"who is was asked to step down from his position?\"\n },\n {\n \"27837\": \"called?\"\n },\n {\n \"27838\": \"what is his title?\"\n },\n {\n \"27839\": \"of?\"\n },\n {\n \"27840\": \"why is he in trouble?\"\n },\n {\n \"27841\": \"was he alone?\"\n },\n {\n \"27842\": \"who was with him?\"\n },\n {\n \"27843\": \"who is calling for him to step down?\"\n },\n {\n \"27844\": \"is one of them named?\"\n },\n {\n \"27845\": \"which one?\"\n },\n {\n \"27846\": \"who is the official representing that one?\"\n },\n {\n \"27847\": \"what hollywood star is mentioned?\"\n },\n {\n \"27848\": \"is one of his films mentioned?\"\n },\n {\n \"27849\": \"which one?\"\n },\n {\n \"27850\": \"which one?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27836\",\n \"answer\": \"a Romanian official\"\n },\n {\n \"question_id\": \"27837\",\n \"answer\": \"Radu Mazare\"\n },\n {\n \"question_id\": \"27838\",\n \"answer\": \"mayor\"\n },\n {\n \"question_id\": \"27839\",\n \"answer\": \"the town of Constanta\"\n },\n {\n \"question_id\": \"27840\",\n \"answer\": \"he wore a Nazi uniform during a fashion show\"\n },\n {\n \"question_id\": \"27841\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27842\",\n \"answer\": \"his 15-year-old son\"\n },\n {\n \"question_id\": \"27843\",\n \"answer\": \"Jewish organizations\"\n },\n {\n \"question_id\": \"27844\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27845\",\n \"answer\": \"Center for Monitoring and Combating anti-Semitism\"\n },\n {\n \"question_id\": \"27846\",\n \"answer\": \"Marco Katz,\"\n },\n {\n \"question_id\": \"27847\",\n \"answer\": \"Tom Cruise\"\n },\n {\n \"question_id\": \"27848\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27849\",\n \"answer\": \"Valkyrie\"\n },\n {\n \"question_id\": \"27850\",\n \"answer\": \"Valkyrie\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Game theory is \"the study of mathematical models of conflict and cooperation between intelligent rational decision-makers\". Game theory is mainly used in economics, political science, and psychology, as well as logic, computer science and biology. Originally, it addressed zero-sum games, in which one person's gains result in losses for the other participants. Today, game theory applies to a wide range of behavioral relations, and is now an umbrella term for the science of logical decision making in humans, animals, and computers. \n\nModern game theory began with the idea regarding the existence of mixed-strategy equilibria in two-person zero-sum games and its proof by John von Neumann. Von Neumann's original proof used the Brouwer fixed-point theorem on continuous mappings into compact convex sets, which became a standard method in game theory and mathematical economics. His paper was followed by the 1944 book \"Theory of Games and Economic Behavior\", co-written with Oskar Morgenstern, which considered cooperative games of several players. The second edition of this book provided an axiomatic theory of expected utility, which allowed mathematical statisticians and economists to treat decision-making under uncertainty. \n\nThis theory was developed extensively in the 1950s by many scholars. Game theory was later explicitly applied to biology in the 1970s, although similar developments go back at least as far as the 1930s. Game theory has been widely recognized as an important tool in many fields. With the Nobel Memorial Prize in Economic Sciences going to game theorist Jean Tirole in 2014, eleven game-theorists have now won the economics Nobel Prize. John Maynard Smith was awarded the Crafoord Prize for his application of game theory to biology.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7797\": \"What was developed in the fifties?\"\n },\n {\n \"7798\": \"By one person?\"\n },\n {\n \"7799\": \"How then?\"\n },\n {\n \"7800\": \"What was it put with in the seventies?\"\n },\n {\n \"7801\": \"For the first time?\"\n },\n {\n \"7802\": \"What is the definition of this topic?\"\n },\n {\n \"7803\": \"How many applications is it practiced with?\"\n },\n {\n \"7804\": \"And they are?\"\n },\n {\n \"7805\": \"What did it initially work as?\"\n },\n {\n \"7806\": \"Who proofed it?\"\n },\n {\n \"7807\": \"Did he write a publication?\"\n },\n {\n \"7808\": \"Called?\"\n },\n {\n \"7809\": \"When did he write it?\"\n },\n {\n \"7810\": \"Did he write it by himself?\"\n },\n {\n \"7811\": \"Who helped?\"\n },\n {\n \"7812\": \"How many people who work with this concept have received a special achievement?\"\n },\n {\n \"7813\": \"What was it?\"\n },\n {\n \"7814\": \"Any other special achievements?\"\n },\n {\n \"7815\": \"What was it?\"\n },\n {\n \"7816\": \"Who got it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7797\",\n \"answer\": \"Game theory\"\n },\n {\n \"question_id\": \"7798\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7799\",\n \"answer\": \"by many scholars\"\n },\n {\n \"question_id\": \"7800\",\n \"answer\": \"biology\"\n },\n {\n \"question_id\": \"7801\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7802\",\n \"answer\": \"the study of mathematical models of conflict and cooperation between intelligent rational decision-makers\"\n },\n {\n \"question_id\": \"7803\",\n \"answer\": \"at least 6\"\n },\n {\n \"question_id\": \"7804\",\n \"answer\": \"economics, political science, psychology, logic, computer science and biology\"\n },\n {\n \"question_id\": \"7805\",\n \"answer\": \"zero-sum games\"\n },\n {\n \"question_id\": \"7806\",\n \"answer\": \"John von Neumann\"\n },\n {\n \"question_id\": \"7807\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7808\",\n \"answer\": \"Theory of Games and Economic Behavior\"\n },\n {\n \"question_id\": \"7809\",\n \"answer\": \"1944\"\n },\n {\n \"question_id\": \"7810\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7811\",\n \"answer\": \"Oskar Morgenstern\"\n },\n {\n \"question_id\": \"7812\",\n \"answer\": \"eleven\"\n },\n {\n \"question_id\": \"7813\",\n \"answer\": \"the economics Nobel Prize\"\n },\n {\n \"question_id\": \"7814\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7815\",\n \"answer\": \"the Crafoord Prize\"\n },\n {\n \"question_id\": \"7816\",\n \"answer\": \"John Maynard Smith\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n American Idol is an American singing competition series created by Simon Fuller and produced by 19 Entertainment, and is distributed by FremantleMedia North America. It began airing on Fox on June 11, 2002, as an addition to the Idols format based on the British series Pop Idol and has since become one of the most successful shows in the history of American television. The concept of the series is to find new solo recording artists, with the winner being determined by the viewers in America. Winners chosen by viewers through telephone, Internet, and SMS text voting were Kelly Clarkson, Ruben Studdard, Fantasia Barrino, Carrie Underwood, Taylor Hicks, Jordin Sparks, David Cook, Kris Allen, Lee DeWyze, Scotty McCreery, Phillip Phillips, Candice Glover, Caleb Johnson, and Nick Fradiani. \n\nAmerican Idol employs a panel of judges who critique the contestants' performances. The original judges were record producer and music manager Randy Jackson, pop singer and choreographer Paula Abdul and music executive and manager Simon Cowell. The judging panel for the most recent season consisted of country singer Keith Urban, singer and actress Jennifer Lopez, and jazz singer Harry Connick, Jr. The show was originally hosted by radio personality Ryan Seacrest and comedian Brian Dunkleman, with Seacrest continuing on for the rest of the seasons.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5418\": \"What show is this article about?\"\n },\n {\n \"5419\": \"what type of competition is this?\"\n },\n {\n \"5420\": \"Who is the host now\"\n },\n {\n \"5421\": \"who was helping him host before?\"\n },\n {\n \"5422\": \"is he an actor?\"\n },\n {\n \"5423\": \"what is his profession?\"\n },\n {\n \"5424\": \"can viewers vote through the mail?\"\n },\n {\n \"5425\": \"what is one of the ways to vote?\"\n },\n {\n \"5426\": \"what year did it first air?\"\n },\n {\n \"5427\": \"what month\"\n },\n {\n \"5428\": \"what day\"\n },\n {\n \"5429\": \"who produces the show?\"\n },\n {\n \"5430\": \"who distributes/\"\n },\n {\n \"5431\": \"what show is it based off of?\"\n },\n {\n \"5432\": \"from what country?\"\n },\n {\n \"5433\": \"was the show a flop?\"\n },\n {\n \"5434\": \"who was one of the winners?\"\n },\n {\n \"5435\": \"and another?\"\n },\n {\n \"5436\": \"who determines the winner?\"\n },\n {\n \"5437\": \"are they looking for a group?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5418\",\n \"answer\": \"American Idol\"\n },\n {\n \"question_id\": \"5419\",\n \"answer\": \"singing competition\"\n },\n {\n \"question_id\": \"5420\",\n \"answer\": \"Seacrest\"\n },\n {\n \"question_id\": \"5421\",\n \"answer\": \"Brian Dunkleman\"\n },\n {\n \"question_id\": \"5422\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"5423\",\n \"answer\": \"comedian\"\n },\n {\n \"question_id\": \"5424\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"5425\",\n \"answer\": \"SMS text voting\"\n },\n {\n \"question_id\": \"5426\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"5427\",\n \"answer\": \"June\"\n },\n {\n \"question_id\": \"5428\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"5429\",\n \"answer\": \"19 Entertainment\"\n },\n {\n \"question_id\": \"5430\",\n \"answer\": \"FremantleMedia North America\"\n },\n {\n \"question_id\": \"5431\",\n \"answer\": \"Pop Idol\"\n },\n {\n \"question_id\": \"5432\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"5433\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"5434\",\n \"answer\": \"Ruben Studdard\"\n },\n {\n \"question_id\": \"5435\",\n \"answer\": \"Scotty McCreery\"\n },\n {\n \"question_id\": \"5436\",\n \"answer\": \"the viewers in America\"\n },\n {\n \"question_id\": \"5437\",\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 Bum rate is the speed at which a startup business consumes money. My rate would be $ 50,000 a month when my new media company started. So, I began looking around for individuals who would be my first investors. \"Angel money\" it was called. But when I reviewed my list of acquaintances to find those who might be able to help, I found the number got small. \n\nWith no other choices, I began meeting with the venture-capital companies. But I was warned they took a huge share of your company for the money they put in. And if you struggled, they could drop you cold. \n\nAs I was searching for \"angel money\", I started to build a team who trusted me even though I didn't have money for paychecks yet. \n\nBill Becker was an expert in computer programming and image processing at a very famous Media Lab at M. I.T. With his arrival, my company suddenly had a major technology \"guy\" in-house. \n\nKatherine Henderson, a filmmaker and a former real-estate dealer, joined us as our director of market research. Steve White came on as operating officer. He had worked for the developer of a home-finance software, Quicken. We grabbed him. \n\nWe had some really good people, but we still didn't have enough money. One night, my neighbor, Louise Johnson, came for a visit. She and I were only nodding acquaintances, but her boys and ours were constant companions. She ran a very good business at the time. \n\nLouise was brilliant and missed nothing. She had been watching my progress closely. She knew I was dying for money and I had prospects but could offer no guarantees of success. \n\nShe told me that her attorney had talked to mine and the terms had been agreed upon. She handed me an envelope. Inside was a check for $ 500,000. \n\nI almost fell down. I heard her voice as if from heaven. \n\n\"I have confidence in your plan,\" she said. \"You' 11 do well. You're going to work hard for it, but it' s satisfying when you build your own company.\" \n\nWho would have thought I'd find an angel so close to home? There were no words sufficient for the moment. We just said good night. She left and I just stood there, completely humbled and completely committed.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68079\": \"What was his rate?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"68079\",\n \"answer\": \"$ 50,000 a month\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hungary is a unitary parliamentary republic in Central Europe. It covers an area of , situated in the Carpathian Basin, and is bordered by Slovakia to the north, Romania to the east, Serbia to the south, Croatia to the southwest, Slovenia to the west, Austria to the northwest, and Ukraine to the northeast. With about 10 million inhabitants, Hungary is a medium-sized member state of the European Union. The official language is Hungarian, which is the most widely spoken Uralic language in the world. Hungary's capital and its largest city and metropolis is Budapest, a significant economic hub, classified as a leading global city. Major urban areas include Debrecen, Szeged, Miskolc, Pécs and Győr. \n\nFollowing centuries of successive habitation by Celts, Romans, West Slavs, Gepids and Avars, the foundation of Hungary was laid in the late 9th century by the Hungarian grand prince Árpád in the conquest of the Carpathian Basin. His great-grandson Stephen I ascended the throne in 1000, converting the country to a Christian kingdom. By the 12th century, Hungary became a middle power within the Western world, reaching a golden age by the 15th century. Following the Battle of Mohács in 1526 and about 150 years of partial Ottoman occupation (1541–1699), Hungary came under Habsburg rule, and later formed the great power Austro–Hungarian Empire together with Austria.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98981\": \"Is Hungary a republic?\"\n },\n {\n \"98982\": \"What kind of republic?\"\n },\n {\n \"98983\": \"How many people are there?\"\n },\n {\n \"98984\": \"What country borders it to the north?\"\n },\n {\n \"98985\": \"To the northeast?\"\n },\n {\n \"98986\": \"To the west?\"\n },\n {\n \"98987\": \"What is the official language?\"\n },\n {\n \"98988\": \"Is it part of the European Union?\"\n },\n {\n \"98989\": \"Which city is the capital>\"\n },\n {\n \"98990\": \"Which city is the largest?\"\n },\n {\n \"98991\": \"Name one of the other people that lived there?\"\n },\n {\n \"98992\": \"Name another?\"\n },\n {\n \"98993\": \"Who was Arpad?\"\n },\n {\n \"98994\": \"Who was Stephen I?\"\n },\n {\n \"98995\": \"When did he ascend to the throne?\"\n },\n {\n \"98996\": \"And then what did he do to the country?\"\n },\n {\n \"98997\": \"When was Hungary's golden age?\"\n },\n {\n \"98998\": \"When was the Battle of Mohacs?\"\n },\n {\n \"98999\": \"Was there an Ottoman occupation?\"\n },\n {\n \"99000\": \"When?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98981\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"98982\",\n \"answer\": \"Parliamentary.\"\n },\n {\n \"question_id\": \"98983\",\n \"answer\": \"About 10 million.\"\n },\n {\n \"question_id\": \"98984\",\n \"answer\": \"Slovakia.\"\n },\n {\n \"question_id\": \"98985\",\n \"answer\": \"Ukraine.\"\n },\n {\n \"question_id\": \"98986\",\n \"answer\": \"Slovenia .\"\n },\n {\n \"question_id\": \"98987\",\n \"answer\": \"Hungarian.\"\n },\n {\n \"question_id\": \"98988\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"98989\",\n \"answer\": \"Budapest.\"\n },\n {\n \"question_id\": \"98990\",\n \"answer\": \"Budapest.\"\n },\n {\n \"question_id\": \"98991\",\n \"answer\": \"Celts.\"\n },\n {\n \"question_id\": \"98992\",\n \"answer\": \"Romans.\"\n },\n {\n \"question_id\": \"98993\",\n \"answer\": \"The Hungarian grand prince.\"\n },\n {\n \"question_id\": \"98994\",\n \"answer\": \"His great-grandson.\"\n },\n {\n \"question_id\": \"98995\",\n \"answer\": \"1000.\"\n },\n {\n \"question_id\": \"98996\",\n \"answer\": \"Converted it to a Christian kingdom.\"\n },\n {\n \"question_id\": \"98997\",\n \"answer\": \"The 15th century.\"\n },\n {\n \"question_id\": \"98998\",\n \"answer\": \"1526.\"\n },\n {\n \"question_id\": \"98999\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"99000\",\n \"answer\": \"1541\\u20131699.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Paul and George wanted to get something to eat for lunch. Sam and Ralph went to school lunch room, but Paul and George wanted to leave and get something outside. They both go to the same school and have the same lunch period, which is how they know each other. They are allowed to leave school for 1 hour for lunch. They get together and rule out pizza, pasta, spicy food and chips. They also want to go somewhere close because they only have an hour. They know there are two places that have burgers and fries close by. Paul loves burgers and George loves fries. Paul says that Great Burger has good burgers. George says that Best Burger has good fries. They now have a problem. \"How are we going to pick where we are going to go?\" says George. Paul answers \"Let's go to Great Burger today and tomorrow let's go to Best Burger.\" George, being a good friend, says OK. They leave school and go to eat burgers and fries.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13243\": \"What did Paul and George want to get?\"\n },\n {\n \"13244\": \"Who went to the lunch room?\"\n },\n {\n \"13245\": \"Where did Paul and Goerge want to get somethng to eat?\"\n },\n {\n \"13246\": \"How do Sam, Ralph, Paul, and George know each other?\"\n },\n {\n \"13247\": \"Are they allowed to leave school for lunch?\"\n },\n {\n \"13248\": \"For how long?\"\n },\n {\n \"13249\": \"What did they rule out to eat?\"\n },\n {\n \"13250\": \"Did they want to get something close?\"\n },\n {\n \"13251\": \"Why is that?\"\n },\n {\n \"13252\": \"Were there any places to get burgers and fries near by?\"\n },\n {\n \"13253\": \"How many were there?\"\n },\n {\n \"13254\": \"Does Paul like burgers?\"\n },\n {\n \"13255\": \"Does George like fries?\"\n },\n {\n \"13256\": \"Does paul like great burger?\"\n },\n {\n \"13257\": \"Does George like best burger?\"\n },\n {\n \"13258\": \"What was their problem?\"\n },\n {\n \"13259\": \"how did they choose?\"\n },\n {\n \"13260\": \"Did they leave school to eat burgers and fries then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13243\",\n \"answer\": \"lunch\"\n },\n {\n \"question_id\": \"13244\",\n \"answer\": \"Sam and Ralph\"\n },\n {\n \"question_id\": \"13245\",\n \"answer\": \"they wanted to leave and get something outside\"\n },\n {\n \"question_id\": \"13246\",\n \"answer\": \"They both go to the same school and have the same lunch period\"\n },\n {\n \"question_id\": \"13247\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13248\",\n \"answer\": \"for 1 hour\"\n },\n {\n \"question_id\": \"13249\",\n \"answer\": \"pizza, pasta, spicy food and chips\"\n },\n {\n \"question_id\": \"13250\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13251\",\n \"answer\": \"they only have an hour\"\n },\n {\n \"question_id\": \"13252\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13253\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"13254\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13255\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13256\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13257\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13258\",\n \"answer\": \"Picking which place to decide\"\n },\n {\n \"question_id\": \"13259\",\n \"answer\": \"They went Great Burger today and tomorrow Best Burger\"\n },\n {\n \"question_id\": \"13260\",\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 Jay, an American, wanted to write a book about famous churches around the world. Firstly, Jay bought a plane ticket and took a trip to Columbus, Ohio, USA, thinking that he would start by working his way across the USA from East to West. On his first day he was inside a church taking photos when he noticed a golden telephone on the wall with a sign that read \"$10,000 per call\". Jay was _ so he asked a priest what the telephone was used for. The priest told him that it was a direct line to heaven and that for $10,000 you could talk to God. Jay thanked the priest and went along his way. Next stop was in Des Moines, and there at a very large church, he saw the same looking golden telephone with the same sign under it. A nearby nun told him that it was a direct line to heaven and that for $10,000 he could talk to God. Jay decided to travel to Australia to see if they had a similar phone. He arrived at Western Australia, and again, in the church he entered, there was the same looking golden telephone, but this time the sign under it read \"40 cents per call.\" Somewhat surprised, Jay asked the priest about the sign. 'Father Brian, I travelled all over the world and I saw this same golden telephone in many churches. I know it is a direct line to Heaven, but in all of them price was $10,000 per call. Why is it so cheap here?' Father Brian smiled and answered, 'My son, you're in Australia now - this is Heaven, so it's only a local call.'\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3216\": \"How much did most place charge to call God?\"\n },\n {\n \"3217\": \"What about Australia?\"\n },\n {\n \"3218\": \"Why is it less?\"\n },\n {\n \"3219\": \"Who told Jay that?\"\n },\n {\n \"3220\": \"Where did they meet?\"\n },\n {\n \"3221\": \"Where in Western Australia?\"\n },\n {\n \"3222\": \"Where is Jay from?\"\n },\n {\n \"3223\": \"Where did he see the first golden phone?\"\n },\n {\n \"3224\": \"What was he doing?\"\n },\n {\n \"3225\": \"About what?\"\n },\n {\n \"3226\": \"What was he doing at the church when he saw the phone?\"\n },\n {\n \"3227\": \"Which direction was he headed?\"\n },\n {\n \"3228\": \"Was this his first stop?\"\n },\n {\n \"3229\": \"How did he get there?\"\n },\n {\n \"3230\": \"Where did he next find one of the phones?\"\n },\n {\n \"3231\": \"Who explained it?\"\n },\n {\n \"3232\": \"Was it a small church?\"\n },\n {\n \"3233\": \"What size?\"\n },\n {\n \"3234\": \"Why did he head to Australia?\"\n },\n {\n \"3235\": \"How did he feel about the cost there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3216\",\n \"answer\": \"$10,000 per call\"\n },\n {\n \"question_id\": \"3217\",\n \"answer\": \"40 cents\"\n },\n {\n \"question_id\": \"3218\",\n \"answer\": \"this is Heaven, so it's only a local call.\"\n },\n {\n \"question_id\": \"3219\",\n \"answer\": \"Father Brian\"\n },\n {\n \"question_id\": \"3220\",\n \"answer\": \"Western Australia\"\n },\n {\n \"question_id\": \"3221\",\n \"answer\": \"in the church\"\n },\n {\n \"question_id\": \"3222\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"3223\",\n \"answer\": \"Columbus, Ohio\"\n },\n {\n \"question_id\": \"3224\",\n \"answer\": \"writing a book\"\n },\n {\n \"question_id\": \"3225\",\n \"answer\": \"famous churches around the world\"\n },\n {\n \"question_id\": \"3226\",\n \"answer\": \"taking photos\"\n },\n {\n \"question_id\": \"3227\",\n \"answer\": \"East to West\"\n },\n {\n \"question_id\": \"3228\",\n \"answer\": \"Columbus, Ohio, USA\"\n },\n {\n \"question_id\": \"3229\",\n \"answer\": \"plane\"\n },\n {\n \"question_id\": \"3230\",\n \"answer\": \"Des Moines\"\n },\n {\n \"question_id\": \"3231\",\n \"answer\": \"A nearby nun\"\n },\n {\n \"question_id\": \"3232\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3233\",\n \"answer\": \"very large\"\n },\n {\n \"question_id\": \"3234\",\n \"answer\": \"see if they had a similar phone\"\n },\n {\n \"question_id\": \"3235\",\n \"answer\": \"surprised\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (Reuters)--- A Michigan man credited his dog with saving his life by chewing off his diseased big toe as he lay passed out in a drunken stupor Jerry Douthett, 48, who woke up on a Saturday night in late July in his Rockford, Michigan home to find his Jack Russell Terrier, Kiko, had _ his right big toe. \"The dog always lies with me on the bed\", said Douthett. \"That night, I woke up and looked down at my foot, and it was wet. When I looked, it was blood and there was the dog looking at me with a blood moustache.\" Douthett's wife, Rosee, rushed him to a hospital where doctors found he was suffering from Type 2 diabetes. His toe was badly infected and surgeons amputated the remainder of the toe. Douthett's wife, a registered nurse, had been urging him for weeks to have his infected toe examined by a doctor. On the night Kiko ate his toe, Douthett said he had been out with his wife and drank about six or seven beers and a pair of giant margaritas--big enough to put goldfish in. \"I was self-medicating at this point,\" he said. \"The moral of the story is that the dog saved my life, because otherwise I would never have gone to see a doctor.\" The couple said they were amazed that Kiko appeared to know Douthett had an infection that needed treatment. \"He kind of chewed off the infected part and stopped at the good bone,\" said Rosee. \"We joked that we shouldn't have had to pay the co-pay because he did half the job by chewing off half of the toe.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4791\": \"Who saved a life?\"\n },\n {\n \"4792\": \"According to whom?\"\n },\n {\n \"4793\": \"How was the animal able to do this?\"\n },\n {\n \"4794\": \"The man didn't try to stop him?\"\n },\n {\n \"4795\": \"What was infected?\"\n },\n {\n \"4796\": \"What did he chew off again?\"\n },\n {\n \"4797\": \"Was the man awake?\"\n },\n {\n \"4798\": \"Why not?\"\n },\n {\n \"4799\": \"Do they know what happened to his foot?\"\n },\n {\n \"4800\": \"Who took him to the doctor?\"\n },\n {\n \"4801\": \"Had he been drinking vodka with her?\"\n },\n {\n \"4802\": \"What were they drinking?\"\n },\n {\n \"4803\": \"Were they small drinks?\"\n },\n {\n \"4804\": \"What size were they?\"\n },\n {\n \"4805\": \"What was the funny part?\"\n },\n {\n \"4806\": \"Why not?\"\n },\n {\n \"4807\": \"Did this happen on a Thursday?\"\n },\n {\n \"4808\": \"When did it happen?\"\n },\n {\n \"4809\": \"What kind of dog is it?\"\n },\n {\n \"4810\": \"What is the dogs name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4791\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"4792\",\n \"answer\": \"a Michigan man\"\n },\n {\n \"question_id\": \"4793\",\n \"answer\": \"chewed off the infected part\"\n },\n {\n \"question_id\": \"4794\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4795\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4796\",\n \"answer\": \"his right big toe\"\n },\n {\n \"question_id\": \"4797\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4798\",\n \"answer\": \"was in a drunken stupor\"\n },\n {\n \"question_id\": \"4799\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4800\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"4801\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4802\",\n \"answer\": \"beer and margaritas\"\n },\n {\n \"question_id\": \"4803\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4804\",\n \"answer\": \"big enough to put goldfish in\"\n },\n {\n \"question_id\": \"4805\",\n \"answer\": \"that they shouldn't have had to pay the co-pay\"\n },\n {\n \"question_id\": \"4806\",\n \"answer\": \"the dog did half the job\"\n },\n {\n \"question_id\": \"4807\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4808\",\n \"answer\": \"a Saturday night\"\n },\n {\n \"question_id\": \"4809\",\n \"answer\": \"Jack Russell Terrier\"\n },\n {\n \"question_id\": \"4810\",\n \"answer\": \"Kiko\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 estimated that in the 11th century Ashkenazi Jews composed only three percent of the world's Jewish population, while at their peak in 1931 they accounted for 92 percent of the world's Jews. Immediately prior to the Holocaust, the number of Jews in the world stood at approximately 16.7 million. Statistical figures vary for the contemporary demography of Ashkenazi Jews, oscillating between 10 million and 11.2 million. Sergio DellaPergola in a rough calculation of Sephardic and Mizrahi Jews, implies that Ashkenazi make up less than 74% of Jews worldwide. Other estimates place Ashkenazi Jews as making up about 75% of Jews worldwide. \n\nIn the Yoma tractate of the Babylonian Talmud the name Gomer is rendered as Germania, which elsewhere in rabbinical literature was identified with Germanikia in northwestern Syria, but later became associated with Germania. Ashkenaz is linked to Scandza/Scanzia, viewed as the cradle of Germanic tribes, as early as a 6th-century gloss to the Historia Ecclesiastica of Eusebius. In the 10th-century History of Armenia of Yovhannes Drasxanakertc'i (1.15) Ashkenaz was associated with Armenia, as it was occasionally in Jewish usage, where its denotation extended at times to Adiabene, Khazaria, Crimea and areas to the east. His contemporary Saadia Gaon identified Ashkenaz with the Saquliba or Slavic territories, and such usage covered also the lands of tribes neighboring the Slavs, and Eastern and Central Europe. In modern times, Samuel Krauss identified the Biblical \"Ashkenaz\" with Khazaria.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22303\": \"What is Ashkenaz linked to?\"\n },\n {\n \"22304\": \"What was it seen as the cradle of?\"\n },\n {\n \"22305\": \"How early in time?\"\n },\n {\n \"22306\": \"When was it associated with Armenia?\"\n },\n {\n \"22307\": \"Who identified it with Khazaria?\"\n },\n {\n \"22308\": \"What percentage did Ashkenazi Jews make up of the world's Jewish population in the 11th century?\"\n },\n {\n \"22309\": \"By 1931, were there more of them or fewer of them?\"\n },\n {\n \"22310\": \"What percentage did they make up?\"\n },\n {\n \"22311\": \"How many were there before the Holocaust>\"\n },\n {\n \"22312\": \"And what about today>\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22303\",\n \"answer\": \"Scandza/Scanzia\"\n },\n {\n \"question_id\": \"22304\",\n \"answer\": \"the cradle of Germanic tribes,\"\n },\n {\n \"question_id\": \"22305\",\n \"answer\": \"6th cnetury\"\n },\n {\n \"question_id\": \"22306\",\n \"answer\": \"10th century\"\n },\n {\n \"question_id\": \"22307\",\n \"answer\": \"Yovhannes Drasxanakertc'i\"\n },\n {\n \"question_id\": \"22308\",\n \"answer\": \"3 percent\"\n },\n {\n \"question_id\": \"22309\",\n \"answer\": \"more\"\n },\n {\n \"question_id\": \"22310\",\n \"answer\": \"92 percent\"\n },\n {\n \"question_id\": \"22311\",\n \"answer\": \"16.7 million\"\n },\n {\n \"question_id\": \"22312\",\n \"answer\": \"10 to 11.2 million\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Three men were sentenced to prison for forcing an African-American man out of a South Carolina convenience store, threatening him with a chainsaw and stealing his car, an incident the Department of Justice said was fueled by hate. \n\nThomas Blue Sr., 49, owner of the convenience store, was sentenced Tuesday to 13 years in prison in the 2007 incident. A second man, Judson Hartley Talbert, was sentenced to nine years, the department said. Blue's son, Thomas Blue Jr., 29, was sentenced to three years. \n\nThe three pleaded guilty in December to conspiring to deprive and depriving Dahndra \"Ervin\" Moore of his right to engage in a federally protected activity -- entering the convenience store -- and also to conspiring to carjack and carjacking his car, authorities said. The elder Blue also pleaded guilty to depriving two other people, both white, of their right to engage in a federally protected activity and using a firearm in relation to a crime of violence against those two. \n\nThe defendants admitted that the elder Blue \"forcibly escorted\" Moore out of a Marlboro County, South Carolina, store known as the Stop and Shop after he entered to use the restroom, the statement said. \n\n\"Once outside, the elder Blue forced the victim to the ground and Blue Jr. threatened the victim with a chainsaw while a small crowd watched,\" according to the Department of Justice statement. \n\nWhile the attack was occurring, Talbert stole Moore's car, authorities said. Later, the elder Blue used a pistol to threaten two white men who he thought were trying to help the victim, including one who showed up to retrieve Moore's car. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1180\": \"Who owned the store?\"\n },\n {\n \"1181\": \"Did he have a son?\"\n },\n {\n \"1182\": \"Who was the third person involved?\"\n },\n {\n \"1183\": \"Who was forced out of the store?\"\n },\n {\n \"1184\": \"What was his name?\"\n },\n {\n \"1185\": \"What state did this happen in?\"\n },\n {\n \"1186\": \"Did Moore enter the store to buy something?\"\n },\n {\n \"1187\": \"Why did he go inside?\"\n },\n {\n \"1188\": \"Was he threatened with a knife?\"\n },\n {\n \"1189\": \"Who took his car?\"\n },\n {\n \"1190\": \"Was a gun involved?\"\n },\n {\n \"1191\": \"Who was threatened by it?\"\n },\n {\n \"1192\": \"Was that considered a crime?\"\n },\n {\n \"1193\": \"What was the store's name?\"\n },\n {\n \"1194\": \"In what year did the incident occur?\"\n },\n {\n \"1195\": \"Was it done out of hate?\"\n },\n {\n \"1196\": \"Who received the longest sentence?\"\n },\n {\n \"1197\": \"How many years?\"\n },\n {\n \"1198\": \"Who had the chainsaw in hand?\"\n },\n {\n \"1199\": \"Did anyone watch the incident?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1180\",\n \"answer\": \"Thomas\"\n },\n {\n \"question_id\": \"1181\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1182\",\n \"answer\": \"Judson\"\n },\n {\n \"question_id\": \"1183\",\n \"answer\": \"African-American man\"\n },\n {\n \"question_id\": \"1184\",\n \"answer\": \"Dahndra\"\n },\n {\n \"question_id\": \"1185\",\n \"answer\": \"South Carolina\"\n },\n {\n \"question_id\": \"1186\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1187\",\n \"answer\": \"use the restroom\"\n },\n {\n \"question_id\": \"1188\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1189\",\n \"answer\": \"Talbert\"\n },\n {\n \"question_id\": \"1190\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1191\",\n \"answer\": \"two white men\"\n },\n {\n \"question_id\": \"1192\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1193\",\n \"answer\": \"Stop and Shop\"\n },\n {\n \"question_id\": \"1194\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"1195\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1196\",\n \"answer\": \"homas Blue Sr.\"\n },\n {\n \"question_id\": \"1197\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"1198\",\n \"answer\": \"elder Blue\"\n },\n {\n \"question_id\": \"1199\",\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 Circadian rhythms allow organisms to anticipate and prepare for precise and regular environmental changes. They thus enable organisms to best capitalize on environmental resources (e.g. light and food) compared to those that cannot predict such availability. It has therefore been suggested that circadian rhythms put organisms at a selective advantage in evolutionary terms. However, rhythmicity appears to be as important in regulating and coordinating internal metabolic processes, as in coordinating with the environment. This is suggested by the maintenance (heritability) of circadian rhythms in fruit flies after several hundred generations in constant laboratory conditions, as well as in creatures in constant darkness in the wild, and by the experimental elimination of behavioral, but not physiological, circadian rhythms in quail. \n\nNorwegian researchers at the University of Tromsø have shown that some Arctic animals (ptarmigan, reindeer) show circadian rhythms only in the parts of the year that have daily sunrises and sunsets. In one study of reindeer, animals at 70 degrees North showed circadian rhythms in the autumn, winter and spring, but not in the summer. Reindeer on Svalbard at 78 degrees North showed such rhythms only in autumn and spring. The researchers suspect that other Arctic animals as well may not show circadian rhythms in the constant light of summer and the constant dark of winter.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96671\": \"What are light and food categorized as?\"\n },\n {\n \"96672\": \"What kind?\"\n },\n {\n \"96673\": \"Do certain rhythms let living things prepare for things?\"\n },\n {\n \"96674\": \"What kind?\"\n },\n {\n \"96675\": \"What do they generally prepare for?\"\n },\n {\n \"96676\": \"What sort?\"\n },\n {\n \"96677\": \"Are these changes sporadic?\"\n },\n {\n \"96678\": \"How are they described?\"\n },\n {\n \"96679\": \"What is the nationality of scientists at the University?\"\n },\n {\n \"96680\": \"What university?\"\n },\n {\n \"96681\": \"What many examples of arctic animals are given?\"\n },\n {\n \"96682\": \"What is the first one?\"\n },\n {\n \"96683\": \"And the second one?\"\n },\n {\n \"96684\": \"Do these animals display circadian rhythms?\"\n },\n {\n \"96685\": \"In what times of the year?\"\n },\n {\n \"96686\": \"What season was not mentioned as one in which an animal at 70 degrees North displays rhythms?\"\n },\n {\n \"96687\": \"How many seasons did the animal on Svalbard at 78 display rhythms?\"\n },\n {\n \"96688\": \"What is the first one mentioned?\"\n },\n {\n \"96689\": \"And the second one?\"\n },\n {\n \"96690\": \"What allows living things to make the best of resources of the environment?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96671\",\n \"answer\": \"Resources\"\n },\n {\n \"question_id\": \"96672\",\n \"answer\": \"Environmental\"\n },\n {\n \"question_id\": \"96673\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"96674\",\n \"answer\": \"Circadian\"\n },\n {\n \"question_id\": \"96675\",\n \"answer\": \"Changes\"\n },\n {\n \"question_id\": \"96676\",\n \"answer\": \"Environmental\"\n },\n {\n \"question_id\": \"96677\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"96678\",\n \"answer\": \"Regular\"\n },\n {\n \"question_id\": \"96679\",\n \"answer\": \"Norwegian\"\n },\n {\n \"question_id\": \"96680\",\n \"answer\": \"University of Troms\\u00f8\"\n },\n {\n \"question_id\": \"96681\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"96682\",\n \"answer\": \"Ptarmigan\"\n },\n {\n \"question_id\": \"96683\",\n \"answer\": \"Reindeer\"\n },\n {\n \"question_id\": \"96684\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"96685\",\n \"answer\": \"Parts that have daily sunrises and sunsets\"\n },\n {\n \"question_id\": \"96686\",\n \"answer\": \"Summer\"\n },\n {\n \"question_id\": \"96687\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"96688\",\n \"answer\": \"Autumn\"\n },\n {\n \"question_id\": \"96689\",\n \"answer\": \"Spring\"\n },\n {\n \"question_id\": \"96690\",\n \"answer\": \"Circadian rhythms\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Einstein's connection with the politics of the nuclear bomb is well known: He signed the letter to President Franklin Roosevelt that persuaded the United States to take the idea seriously, and he engaged in postwar efforts to prevent nuclear war. But these were not just the isolated actions of a scientist dragged into the world of politics. Einstein's life was, in fact, \"divided between politics and equations .\" \n\nSickened by what he saw as the waste of human lives during the First World War, he became involved in antiwar demonstrations. His support of civil disobedience did little to endear him to his colleagues. Then, following the war, he directed his efforts toward reconciliation and improving international relations. And soon his politics were making it difficult for him to visit the United States, even to give lectures. \n\nEinstein's second great cause was Zionism . Although he was Jewish, Einstein rejected the idea of God. However, a growing awareness of anti-Semitism , both before and during the War, led him gradually to identify with the Jewish community, and later to become an outspoken supporter of Zionism. \n\nHis theories came under attack. One man was accused of motivating others to murder Einstein and fined a mere six dollars. When a book was published entitled 100 Authors Against Einstein, he retorted, \"If I were wrong, then one would have been enough!\" When Hitler came to power, Einstein then in America declared he would not return to Germany. While Nazi attacked his house and confiscated his bank account, a Berlin newspaper displayed the headline \"Good News from Einstein--He's Not Coming Back.\" \n\nFearing that German scientists would build a nuclear bomb, Einstein proposed that the United States should develop its own. But he was publicly warning of the dangers of nuclear war and proposing international control of nuclear weaponry. Throughout his life, Einstein's efforts toward peace probably achieved little and won him few friends. His support of the Zionist cause, however, was recognized in 1952, when he was offered the presidency of Israel. He declined, saying he was too naive in politics. But perhaps his real reason was different:\" Equations are more important to me, because politics is for the present, but an equation is something for eternity.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30273\": \"Who signed a note to President Franklin?\"\n },\n {\n \"30274\": \"What was he so upset about in WWI?\"\n },\n {\n \"30275\": \"So what did he do about it?\"\n },\n {\n \"30276\": \"Then what did he do after the war?\"\n },\n {\n \"30277\": \"What group did he finally identify with?\"\n },\n {\n \"30278\": \"Was that his first greatest cause?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"30273\",\n \"answer\": \"Einstein\"\n },\n {\n \"question_id\": \"30274\",\n \"answer\": \"the waste of human lives\"\n },\n {\n \"question_id\": \"30275\",\n \"answer\": \"became involved in antiwar demonstrations\"\n },\n {\n \"question_id\": \"30276\",\n \"answer\": \"reconciliation and improving international relations\"\n },\n {\n \"question_id\": \"30277\",\n \"answer\": \"Zionism.\"\n },\n {\n \"question_id\": \"30278\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n DOS is a family of disk operating systems primarily consisting of MS-DOS and a rebranded version under the name IBM PC DOS which were introduced in 1981, as well as some later compatible systems from other manufacturers: DR-DOS (1988), ROM-DOS (1989), PTS-DOS (1993), and FreeDOS (1998). MS-DOS dominated the x86-based IBM PC compatible market between 1981 and 1995. \n\nDozens of other operating systems also use the acronym \"DOS\", including the mainframe DOS/360 from 1966. Others are Apple DOS, Apple ProDOS, Atari DOS, Commodore DOS, TRSDOS, and AmigaDOS. \n\nIBM PC DOS (and the separately sold MS-DOS) and its predecessor, 86-DOS, resembled Digital Research's CP/M—the dominant disk operating system for 8-bit Intel 8080 and Zilog Z80 based microcomputers. DOS instead ran on Intel 8086 16-bit processors. Starting with MS-DOS 1.28 and PC DOS 2.0 the operating system incorporated various features inspired by Xenix, Microsoft's variant of Unix. \n\nWhen IBM introduced the IBM PC, built with the Intel 8088 microprocessor, they needed an operating system. Seeking an 8088-compatible build of CP/M, IBM initially approached Microsoft CEO Bill Gates (possibly believing that Microsoft owned CP/M due to the Microsoft Z-80 SoftCard, which allowed CP/M to run on an Apple II). IBM was sent to Digital Research, and a meeting was set up. However, the initial negotiations for the use of CP/M broke down; Digital Research wished to sell CP/M on a royalty basis, while IBM sought a single license, and to change the name to \"PC DOS\". Digital Research founder Gary Kildall refused, and IBM withdrew.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54058\": \"what oprocessor did IBM use int heir PC?\"\n },\n {\n \"54059\": \"who did IBM initially approach?\"\n },\n {\n \"54060\": \"why did they talkk to him?\"\n },\n {\n \"54061\": \"what card might have given that impression?\"\n },\n {\n \"54062\": \"what did that do?\"\n },\n {\n \"54063\": \"what does DOS stand for?\"\n },\n {\n \"54064\": \"name 2 main versions?\"\n },\n {\n \"54065\": \"when were they introduced?\"\n },\n {\n \"54066\": \"which market did MD-DOS dominate?\"\n },\n {\n \"54067\": \"what years?\"\n },\n {\n \"54068\": \"what year was FreeDOS launched?\"\n },\n {\n \"54069\": \"what launched in 1988\"\n },\n {\n \"54070\": \"which mainframe OS uses the acronym?\"\n },\n {\n \"54071\": \"how many Apple versions were there?\"\n },\n {\n \"54072\": \"name one\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54058\",\n \"answer\": \"16-bit\"\n },\n {\n \"question_id\": \"54059\",\n \"answer\": \"Bill Gates\"\n },\n {\n \"question_id\": \"54060\",\n \"answer\": \"possibly believing that Microsoft owned CP/M\"\n },\n {\n \"question_id\": \"54061\",\n \"answer\": \"the Microsoft Z-80 SoftCard\"\n },\n {\n \"question_id\": \"54062\",\n \"answer\": \"allowed CP/M to run on an Apple II\"\n },\n {\n \"question_id\": \"54063\",\n \"answer\": \"disk operating systems\"\n },\n {\n \"question_id\": \"54064\",\n \"answer\": \"MS-DOS and IBM PC DOS\"\n },\n {\n \"question_id\": \"54065\",\n \"answer\": \"in 1981\"\n },\n {\n \"question_id\": \"54066\",\n \"answer\": \"the x86-based IBM PC compatible market\"\n },\n {\n \"question_id\": \"54067\",\n \"answer\": \"1981 and 1995\"\n },\n {\n \"question_id\": \"54068\",\n \"answer\": \"1998\"\n },\n {\n \"question_id\": \"54069\",\n \"answer\": \"DR-DOS\"\n },\n {\n \"question_id\": \"54070\",\n \"answer\": \"DOS/360\"\n },\n {\n \"question_id\": \"54071\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"54072\",\n \"answer\": \"Apple ProDOS\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Today is Josh's birthday, so he invited all of his friends over for his party. Josh wanted it to be the best party ever, so he helped his mom plan it so it would be fun. They first picked that it would be a pool party, since they had a huge pool in their backyard. So they told everybody to wear their bathing suits. They went to the sports store and got a basketball hoop that they could put in the pool, so people could play water basketball. Then they went to the food store and picked out all of Josh's favorite foods. They got chicken, hamburgers, hot dogs so they could cook everything on the grill. When it came time for the party, Josh's best friend Ryan was the first to get there. Soon, all of Josh's friends were there and everybody had a great time. The weather was perfect and the food was delicious. It was the best seventh birthday ever!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66907\": \"how was the weather?\"\n },\n {\n \"66908\": \"how old was josh?\"\n },\n {\n \"66909\": \"what day was it?\"\n },\n {\n \"66910\": \"why did he invite all his buddies to his house?\"\n },\n {\n \"66911\": \"how did he ensure that it would be a great celebration?\"\n },\n {\n \"66912\": \"why did they choose a pool party?\"\n },\n {\n \"66913\": \"what was everyone supposed to bring?\"\n },\n {\n \"66914\": \"what did they buy at the shop?\"\n },\n {\n \"66915\": \"where did they place it?\"\n },\n {\n \"66916\": \"why?\"\n },\n {\n \"66917\": \"how many types of food did they purchase?\"\n },\n {\n \"66918\": \"how were they going to prepare them?\"\n },\n {\n \"66919\": \"who arrived first?\"\n },\n {\n \"66920\": \"who was he?\"\n },\n {\n \"66921\": \"was he the only one who showed up?\"\n },\n {\n \"66922\": \"who else did?\"\n },\n {\n \"66923\": \"did they enjoy themselves?\"\n },\n {\n \"66924\": \"how did the meal turn out?\"\n },\n {\n \"66925\": \"compared to other birthdays how was this one?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66907\",\n \"answer\": \"Warm\"\n },\n {\n \"question_id\": \"66908\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"66909\",\n \"answer\": \"Today\"\n },\n {\n \"question_id\": \"66910\",\n \"answer\": \"for his party\"\n },\n {\n \"question_id\": \"66911\",\n \"answer\": \"He helped his mom plan it\"\n },\n {\n \"question_id\": \"66912\",\n \"answer\": \"Because of the huge pool in their backyard\"\n },\n {\n \"question_id\": \"66913\",\n \"answer\": \"bathing suits\"\n },\n {\n \"question_id\": \"66914\",\n \"answer\": \"a basketball hoop\"\n },\n {\n \"question_id\": \"66915\",\n \"answer\": \"the pool\"\n },\n {\n \"question_id\": \"66916\",\n \"answer\": \"to play water basketball.\"\n },\n {\n \"question_id\": \"66917\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"66918\",\n \"answer\": \"On the grill\"\n },\n {\n \"question_id\": \"66919\",\n \"answer\": \"Ryan\"\n },\n {\n \"question_id\": \"66920\",\n \"answer\": \"best friend\"\n },\n {\n \"question_id\": \"66921\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66922\",\n \"answer\": \"his friends\"\n },\n {\n \"question_id\": \"66923\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66924\",\n \"answer\": \"Good\"\n },\n {\n \"question_id\": \"66925\",\n \"answer\": \"The best\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Eight previously unheard Michael Jackson songs will be released on a new album in May, Epic Records announced Monday. \n\nThe late pop icon's music has been \"contemporized\" by several producers who Epic Chairman L.A. Reid believes have the \"gravitas, depth and range to creatively engage with Jackson's work,\" the announcement said. \n\nFans can preorder the new album, titled \"Xscape,\" on iTunes starting Tuesday, but it will be in stores around the world on May 13, the company said. \n\nJackson died at age 50 on June 25, 2009, while preparing for his \"This Is It\" comeback tour. \n\n\"Michael left behind some musical performances that we take great pride in presenting through the vision of music producers that he either worked directly with or expressed strong desire to work with,\" Reid said. \n\nTimbaland is the lead producer, with contributions from Rodney Jerkins, Stargate, Jerome \"J-Roc\" Harmon and Jackson estate executor John McClain, the release said. Timberland had previously revealed he was working on the project for Epic. \n\nThe album title is derived from one of the new singles. Jackson and Jerkins co-wrote and co-produced the song \"Xscape,\" which Jerkins \"contemporized\" for the project, the company said. \n\nSony's Columbia Epic Records -- Jackson's record label for three decades -- signed a long-term deal with Jackson's estate to posthumously release music from the large archives of his recordings. \n\nReid \"was granted unlimited access to the treasures representing four decades of material on which Jackson had completed his vocals,\" the announcement said. \n\nThe Epic release included a quote from Jackson estate co-executors John Branca and John McClain supporting the new album. \"Michael was always on the cutting edge and was constantly reaching out to new producers, looking for new sounds. He was always relevant and current. These tracks, in many ways, capture that spirit. We thank L.A. Reid for his vision.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96752\": \"Who is having new songs released?\"\n },\n {\n \"96753\": \"How many?\"\n },\n {\n \"96754\": \"When?\"\n },\n {\n \"96755\": \"How have people changed the work?\"\n },\n {\n \"96756\": \"What is it's name?\"\n },\n {\n \"96757\": \"How is it initially being offered?\"\n },\n {\n \"96758\": \"How old was the artist when he passed?\"\n },\n {\n \"96759\": \"When?\"\n },\n {\n \"96760\": \"What was he in preparation for when he passed?\"\n },\n {\n \"96761\": \"Who is the main producer?\"\n },\n {\n \"96762\": \"Who is he producing it for?\"\n },\n {\n \"96763\": \"Where did the name for the album come from?\"\n },\n {\n \"96764\": \"Who did they strike an agreement with to produce the work?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96752\",\n \"answer\": \"Michael Jackson\"\n },\n {\n \"question_id\": \"96753\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"96754\",\n \"answer\": \"May\"\n },\n {\n \"question_id\": \"96755\",\n \"answer\": \"it has been \\\"contemporized\"\n },\n {\n \"question_id\": \"96756\",\n \"answer\": \"Xscape\"\n },\n {\n \"question_id\": \"96757\",\n \"answer\": \"on iTunes\"\n },\n {\n \"question_id\": \"96758\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"96759\",\n \"answer\": \"June 25, 2009\"\n },\n {\n \"question_id\": \"96760\",\n \"answer\": \"his \\\"This Is It\\\" comeback tour.\"\n },\n {\n \"question_id\": \"96761\",\n \"answer\": \"Timbaland\"\n },\n {\n \"question_id\": \"96762\",\n \"answer\": \"i Epic.\"\n },\n {\n \"question_id\": \"96763\",\n \"answer\": \"one of the new singles\"\n },\n {\n \"question_id\": \"96764\",\n \"answer\": \"Sony's Columbia Epic Records\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (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 Chapter 22. POSITIVELY LAST APPEARANCE \n\n'Upon my word, I feel as if I lived in a powder-magazine, and don't know which barrel will explode next, and send me flying,' said Mrs Jo to herself next day, as she trudged up to Parnassus to suggest to her sister that perhaps the most charming of the young nurses had better return to her marble gods before she unconsciously added another wound to those already won by the human hero. She told no secrets; but a hint was sufficient; for Mrs Amy guarded her daughter as a pearl of great price, and at once devised a very simple means of escape from danger. Mr Laurie was going to Washington on Dan's behalf, and was delighted to take his family with him when the idea was carelessly suggested. So the conspiracy succeeded finely; and Mrs Jo went home, feeling more like a traitor than ever. She expected an explosion; but Dan took the news so quietly, it was plain that he cherished no hope; and Mrs Amy was sure her romantic sister had been mistaken. If she had seen Dan's face when Bess went to say good-bye, her maternal eye would have discovered far more than the unconscious girl did. Mrs Jo trembled lest he should betray himself; but he had learned self-control in a stern school, and would have got through the hard moment bravely, only, when he took both hands, saying heartily: \n\n'Good-bye, Princess. If we don't meet again, remember your old friend Dan sometimes,' she, touched by his late danger and the wistful look he wore, answered with unusual warmth: 'How can I help it, when you make us all so proud of you? God bless your mission, and bring you safely home to us again!' \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92944\": \"Is someone anxious?\"\n },\n {\n \"92945\": \"Who?\"\n },\n {\n \"92946\": \"Is she talking to someone?\"\n },\n {\n \"92947\": \"Who?\"\n },\n {\n \"92948\": \"Where is she going?\"\n },\n {\n \"92949\": \"To do what?\"\n },\n {\n \"92950\": \"What for?\"\n },\n {\n \"92951\": \"What was she expecting?\"\n },\n {\n \"92952\": \"Was there one?\"\n },\n {\n \"92953\": \"Who reacts?\"\n },\n {\n \"92954\": \"How so?\"\n },\n {\n \"92955\": \"Was he hopeful?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92944\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92945\",\n \"answer\": \"Mrs Jo\"\n },\n {\n \"question_id\": \"92946\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92947\",\n \"answer\": \"herself\"\n },\n {\n \"question_id\": \"92948\",\n \"answer\": \"Parnassus\"\n },\n {\n \"question_id\": \"92949\",\n \"answer\": \"to see her sister\"\n },\n {\n \"question_id\": \"92950\",\n \"answer\": \"to suggest something\"\n },\n {\n \"question_id\": \"92951\",\n \"answer\": \"an explosion\"\n },\n {\n \"question_id\": \"92952\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92953\",\n \"answer\": \"Dan\"\n },\n {\n \"question_id\": \"92954\",\n \"answer\": \"quietly\"\n },\n {\n \"question_id\": \"92955\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII. \n\nTHE TOWN ORDINANCE. \n\nThe news which Dick carried to Sawyer was sufficient to create a great excitement in that naturally quiet little town. In addition to what looked like an attempted murder, was the fact that George Harnett, whom they had all respected before the conflagration, and admired after it, was the intended victim. \n\nThere was no need for Dick to urge that officers be sent to try to effect the capture of the scoundrels, for almost before he had finished telling the story, a large party of citizens started in search of the men, determined that they should answer for their crime. \n\nTherefore, when Dick returned, it was with so large a following that the physicians rushed out in the greatest haste to insist on their keeping at a respectful distance from the house, lest the noise might affect their patient. \n\nBob and his partners were anxious to join in the search, and urged Ralph to accompany them, since he could do no good to George by remaining; but he refused to leave his friend, even though he could not aid him, and the party started without him, a look of determination on their faces that boded no good to the professed oil prospectors in case they should be caught. \n\nDuring all of that night Ralph remained with George, listening to his delirious ravings, as he supposed he was still battling for his life with the men, and just at daybreak Bob returned alone. The search had been even more successful than any of the party had dared to hope for when they set out, for the men had been captured in the woods about four miles from the place where the assault had been made and in the pocket of one of them was the paper from which one corner had been left in George's hand. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32795\": \"what chapter is this ?\"\n },\n {\n \"32796\": \"and the title ?\"\n },\n {\n \"32797\": \"who returned alone ?\"\n },\n {\n \"32798\": \"who remained with gerge ?\"\n },\n {\n \"32799\": \"doing what ?\"\n },\n {\n \"32800\": \"to what ?\"\n },\n {\n \"32801\": \"who was the victim ?\"\n },\n {\n \"32802\": \"was he respected ?\"\n },\n {\n \"32803\": \"was it a large town ?\"\n },\n {\n \"32804\": \"who told the news ?\"\n },\n {\n \"32805\": \"to who ?\"\n },\n {\n \"32806\": \"there was no need for dick to do what ?\"\n },\n {\n \"32807\": \"earg what ?\"\n },\n {\n \"32808\": \"to try and do what ?\"\n },\n {\n \"32809\": \"of who ?\"\n },\n {\n \"32810\": \"did people search for them ?\"\n },\n {\n \"32811\": \"what was the perpose ?\"\n },\n {\n \"32812\": \"what would affect the patient ?\"\n },\n {\n \"32813\": \"who rushed out ?\"\n },\n {\n \"32814\": \"and who returned ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"32795\",\n \"answer\": \"XXIII\"\n },\n {\n \"question_id\": \"32796\",\n \"answer\": \"THE TOWN ORDINANCE.\"\n },\n {\n \"question_id\": \"32797\",\n \"answer\": \"Bob\"\n },\n {\n \"question_id\": \"32798\",\n \"answer\": \"Ralph\"\n },\n {\n \"question_id\": \"32799\",\n \"answer\": \"listening\"\n },\n {\n \"question_id\": \"32800\",\n \"answer\": \"delirious ravings\"\n },\n {\n \"question_id\": \"32801\",\n \"answer\": \"George Harnet\"\n },\n {\n \"question_id\": \"32802\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32803\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32804\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"32805\",\n \"answer\": \"Sawyer\"\n },\n {\n \"question_id\": \"32806\",\n \"answer\": \"urge\"\n },\n {\n \"question_id\": \"32807\",\n \"answer\": \"officers be sent\"\n },\n {\n \"question_id\": \"32808\",\n \"answer\": \"effect the capture\"\n },\n {\n \"question_id\": \"32809\",\n \"answer\": \"scoundrels\"\n },\n {\n \"question_id\": \"32810\",\n \"answer\": \"yew\"\n },\n {\n \"question_id\": \"32811\",\n \"answer\": \"that they should answer for their crime.\"\n },\n {\n \"question_id\": \"32812\",\n \"answer\": \"noise\"\n },\n {\n \"question_id\": \"32813\",\n \"answer\": \"physicians\"\n },\n {\n \"question_id\": \"32814\",\n \"answer\": \"Dick\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 1682, William Penn founded the city to serve as capital of the Pennsylvania Colony. Philadelphia played an instrumental role in the American Revolution as a meeting place for the Founding Fathers of the United States, who signed the Declaration of Independence in 1776 and the Constitution in 1787. Philadelphia was one of the nation's capitals in the Revolutionary War, and served as temporary U.S. capital while Washington, D.C., was under construction. In the 19th century, Philadelphia became a major industrial center and railroad hub that grew from an influx of European immigrants. It became a prime destination for African-Americans in the Great Migration and surpassed two million occupants by 1950. \n\nBased on the similar shifts underway the nation's economy after 1960, Philadelphia experienced a loss of manufacturing companies and jobs to lower taxed regions of the USA and often overseas. As a result, the economic base of Philadelphia, which had historically been manufacturing, declined significantly. In addition, consolidation in several American industries (retailing, financial services and health care in particular) reduced the number of companies headquartered in Philadelphia. The economic impact of these changes would reduce Philadelphia's tax base and the resources of local government. Philadelphia struggled through a long period of adjustment to these economic changes, coupled with significant demographic change as wealthier residents moved into the nearby suburbs and more immigrants moved into the city. The city in fact approached bankruptcy in the late 1980s. Revitalization began in the 1990s, with gentrification turning around many neighborhoods and reversing its decades-long trend of population loss.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78166\": \"what is this article about?\"\n },\n {\n \"78167\": \"who founded the city?\"\n },\n {\n \"78168\": \"when?\"\n },\n {\n \"78169\": \"why?\"\n },\n {\n \"78170\": \"when was the declaration of independence signed\"\n },\n {\n \"78171\": \"when was the constitiution signed?\"\n },\n {\n \"78172\": \"who signed the?\"\n },\n {\n \"78173\": \"what city was under construction when Philadelphia was capital temporarily?\"\n },\n {\n \"78174\": \"when did the city approach bankruptcy?\"\n },\n {\n \"78175\": \"when did revitalization start?\"\n },\n {\n \"78176\": \"what changed the neighborhoods?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78166\",\n \"answer\": \"Philadelphia\"\n },\n {\n \"question_id\": \"78167\",\n \"answer\": \"William Penn\"\n },\n {\n \"question_id\": \"78168\",\n \"answer\": \"1682\"\n },\n {\n \"question_id\": \"78169\",\n \"answer\": \"serve as capital of the Pennsylvania Colony.\"\n },\n {\n \"question_id\": \"78170\",\n \"answer\": \"1776\"\n },\n {\n \"question_id\": \"78171\",\n \"answer\": \"1787\"\n },\n {\n \"question_id\": \"78172\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78173\",\n \"answer\": \"Washington, D.C\"\n },\n {\n \"question_id\": \"78174\",\n \"answer\": \"1980s\"\n },\n {\n \"question_id\": \"78175\",\n \"answer\": \"1990s\"\n },\n {\n \"question_id\": \"78176\",\n \"answer\": \"gentrification\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 On Tuesday evening, Rick wanted to play with his friends at a playground near his house. Rick's mother, Trish, drove him to the playground. Rick met up with Andrew and Chris. Rick ran to the monkey bars. Andrew ran to the slide. Chris ran to the swings. Trish sat on a bench near the monkey bars and read a book. She wanted to finish the book for a long time and wanted to try to finish right now. Around 6 PM, it started to rain. Trish quickly put her book inside of her jacket to keep it dry. Afterwards, she called Rick and his friends over and told them it was time to go. Rick and Andrew ran to Trish to follow her to the car. Chris tried to run to Trish but tripped and fell. He scabbed his knee. He was in a lot of pain. Trish told Rick and Andrew to get inside of the car. She ran to Chris to check on him. Trish had a bandage in her pocket and put it over Chris' scab. She then helped Chris get to the car. The next day, Rick asked Chris if he was okay from the fall at the playground. Chris said he was okay and wanted to go play at the playground again soon.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75612\": \"What day did Rick and his friend's play?\"\n },\n {\n \"75613\": \"And where did they play at?\"\n },\n {\n \"75614\": \"Who took them there?\"\n },\n {\n \"75615\": \"and who is she to Rick?\"\n },\n {\n \"75616\": \"And what were the friend's names?\"\n },\n {\n \"75617\": \"What did Rick play on first?\"\n },\n {\n \"75618\": \"And Chris\"\n },\n {\n \"75619\": \"what about Andrew?\"\n },\n {\n \"75620\": \"Where did the mom sit?\"\n },\n {\n \"75621\": \"doing what?\"\n },\n {\n \"75622\": \"what happened at 6?\"\n },\n {\n \"75623\": \"so what did Trish do?\"\n },\n {\n \"75624\": \"Who followed Trish to her car?\"\n },\n {\n \"75625\": \"Who didn't make it to the car?\"\n },\n {\n \"75626\": \"why?\"\n },\n {\n \"75627\": \"Was he hurt?\"\n },\n {\n \"75628\": \"How so?\"\n },\n {\n \"75629\": \"What did the mom have to put over it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75612\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"75613\",\n \"answer\": \"at a playground near his house\"\n },\n {\n \"question_id\": \"75614\",\n \"answer\": \"Trish\"\n },\n {\n \"question_id\": \"75615\",\n \"answer\": \"his mom\"\n },\n {\n \"question_id\": \"75616\",\n \"answer\": \"Andrew and Chris\"\n },\n {\n \"question_id\": \"75617\",\n \"answer\": \"the monkey bars\"\n },\n {\n \"question_id\": \"75618\",\n \"answer\": \"the swings\"\n },\n {\n \"question_id\": \"75619\",\n \"answer\": \"the slide\"\n },\n {\n \"question_id\": \"75620\",\n \"answer\": \"on a bench\"\n },\n {\n \"question_id\": \"75621\",\n \"answer\": \"reading\"\n },\n {\n \"question_id\": \"75622\",\n \"answer\": \"it started to rain\"\n },\n {\n \"question_id\": \"75623\",\n \"answer\": \"put her book inside of her jacket\"\n },\n {\n \"question_id\": \"75624\",\n \"answer\": \"Rick and Andrew\"\n },\n {\n \"question_id\": \"75625\",\n \"answer\": \"Chris\"\n },\n {\n \"question_id\": \"75626\",\n \"answer\": \"he tripped and fell\"\n },\n {\n \"question_id\": \"75627\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75628\",\n \"answer\": \"He scabbed his knee\"\n },\n {\n \"question_id\": \"75629\",\n \"answer\": \"a bandage\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Annie's sister, Julia, was having a birthday party in the afternoon. Annie's mother was going to bake the cake for the party. Mother asked Annie to help her bake the cake. They chose to make a chocolate cake with chocolate frosting. Annie got the bowls and the ingredients they would need for the cake. She helped measure the flour, the sugar and the cocoa. Once her mother added the rest of the ingredients, Annie was allowed to stir the ingredients in the bowl. She helped to pour the cake mix into two pans and then put them in the oven. The smell of the cake made Annie hungry. While the cake was baking, Annie helped her mother make the chocolate frosting. Her mother let her lick the spoon when they were done mixing the frosting. Once the cake was done, Annie and her mother took the cake out of the oven and let it cool, and then they frosted it. They ate the chocolate cake at Julia's party with scoops of vanilla ice cream and fresh strawberries. Annie gave their dog, Sunny, a little piece of cake too!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46556\": \"Who was having a birthday party?\"\n },\n {\n \"46557\": \"Was the party going to be at night?\"\n },\n {\n \"46558\": \"When was it?\"\n },\n {\n \"46559\": \"Who asked Annie to help make the cake?\"\n },\n {\n \"46560\": \"Who got the bowls?\"\n },\n {\n \"46561\": \"Did she also mix the batter?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"46556\",\n \"answer\": \"Julia\"\n },\n {\n \"question_id\": \"46557\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46558\",\n \"answer\": \"the afternoon\"\n },\n {\n \"question_id\": \"46559\",\n \"answer\": \"Mother\"\n },\n {\n \"question_id\": \"46560\",\n \"answer\": \"Annie\"\n },\n {\n \"question_id\": \"46561\",\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 Joey felt the very first rain drop hit his hat. \n\n\"Let's go inside!\" he said to his friend Billy. \n\nThe two ran inside the house as it began to rain more outside. Joey's mother was very happy that they missed the rain and got inside before it made a big mess. Joey and Billy weren't as happy. \n\n\"What are we going to do in here all day?\" asked Billy. \n\n\"I don't know\" said Joey, looking out the window as the rain came down. \n\nHarder. And harder. \n\n\"Oh no! I left my baseball glove outside\" said Joey as he watched it begin to fill up with rain. His glove was going to be a mess! \n\nThankfully, Joey's dad pulled up in his car. Seeing the glove on the ground, he picked it up as he ran inside. \n\n\"Careful sport, you almost lost this\" he told his son as he tossed him the wet mitt. But Joey wasn't listening, he was looking past his dad as he walked through the door. The sky was clearing up! Joey ran outside, Billy came after him. \n\n\"Look at that!\" Billy said as he pointed at the sky. A rainbow was appearing, it was so beautiful! The rain wasn't bad after all!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29577\": \"What did Joe feel?\"\n },\n {\n \"29578\": \"what did it hit?\"\n },\n {\n \"29579\": \"Who was he with?\"\n },\n {\n \"29580\": \"Whose house did they run to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29577\",\n \"answer\": \"the very first rain drop\"\n },\n {\n \"question_id\": \"29578\",\n \"answer\": \"his hat\"\n },\n {\n \"question_id\": \"29579\",\n \"answer\": \"his friend Billy.\"\n },\n {\n \"question_id\": \"29580\",\n \"answer\": \"Joey's\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Denver (CNN) -- To the political world, October 3 is a high-stakes night in the presidential election. But for first lady Michelle Obama, it's the date night that wasn't. \n\n\"I told Barack, 'This, you know, attending a presidential debate on my 20th anniversary is probably the worst way for me to spend (it).' ... I get so nervous at these debates,\" she said in a recent interview alongside her brother, Craig Robinson. \n\n10 debate moments that mattered \n\nTwenty years ago, Michelle Robinson wed Barack Obama in a Chicago ceremony. She never would have predicted spending her 20th wedding anniversary on a double date with the Romneys. \n\n\"I would not have chosen this, but I'm excited about it,\" she said. \n\nAlthough the first lady will be in the audience in Denver to watch President Obama debate Wednesday night, she did not offer a critique of her husband, even when pressed. \n\n\"I really would probably be the worst person to assess his style or his techniques,\" she said. \n\nIn fact, she suggested that she worries about her own performance, with all eyes judging her every reaction. \n\n5 things to watch in tonight's debate \n\n\"There are the rules, and you don't want to clap. ... So I'm just trying to make sure I'm following the rules,\" Obama said. \n\nShe may have jitters on debate day, but she was not nervous when she wed young Barack Obama in 1992. Instead, she was focused on the next step: their honeymoon. \n\n\"It was just sort of, 'OK, now we're going to do this, and we'll get it done, and then we'll go on our honeymoon,' \" she remembered. \"So I was really excited about the honeymoon, actually.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70927\": \"On what day did Michelle's wedding take place?\"\n },\n {\n \"70928\": \"What year?\"\n },\n {\n \"70929\": \"How long after that did was this article written?\"\n },\n {\n \"70930\": \"What will she be doing on her anniversary?\"\n },\n {\n \"70931\": \"Is this her first choice?\"\n },\n {\n \"70932\": \"How does she feel about it?\"\n },\n {\n \"70933\": \"What is her last name?\"\n },\n {\n \"70934\": \"What is her maiden name?\"\n },\n {\n \"70935\": \"Where did they get married\"\n },\n {\n \"70936\": \"Who is her husband?\"\n },\n {\n \"70937\": \"What will he be doing on that night?\"\n },\n {\n \"70938\": \"Who is he debating with?\"\n },\n {\n \"70939\": \"Who was the president on this night?\"\n },\n {\n \"70940\": \"What is she worried about?\"\n },\n {\n \"70941\": \"What rule does she mention?\"\n },\n {\n \"70942\": \"Is she concerned about her performance?\"\n },\n {\n \"70943\": \"Who does she feel will be critiquing her?\"\n },\n {\n \"70944\": \"Is she the best person to judge her husband?\"\n },\n {\n \"70945\": \"What does she think she should not be judging?\"\n },\n {\n \"70946\": \"What city will they be in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70927\",\n \"answer\": \"October 3\"\n },\n {\n \"question_id\": \"70928\",\n \"answer\": \"1992\"\n },\n {\n \"question_id\": \"70929\",\n \"answer\": \"Twenty years\"\n },\n {\n \"question_id\": \"70930\",\n \"answer\": \"attending a presidential debate\"\n },\n {\n \"question_id\": \"70931\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70932\",\n \"answer\": \"excited\"\n },\n {\n \"question_id\": \"70933\",\n \"answer\": \"Robinson\"\n },\n {\n \"question_id\": \"70934\",\n \"answer\": \"Robinson\"\n },\n {\n \"question_id\": \"70935\",\n \"answer\": \"Chicago\"\n },\n {\n \"question_id\": \"70936\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"70937\",\n \"answer\": \"debate\"\n },\n {\n \"question_id\": \"70938\",\n \"answer\": \"Romney\"\n },\n {\n \"question_id\": \"70939\",\n \"answer\": \"Obama\"\n },\n {\n \"question_id\": \"70940\",\n \"answer\": \"following the rules\"\n },\n {\n \"question_id\": \"70941\",\n \"answer\": \"you don't want to clap\"\n },\n {\n \"question_id\": \"70942\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70943\",\n \"answer\": \"all eyes\"\n },\n {\n \"question_id\": \"70944\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70945\",\n \"answer\": \"style or techniques\"\n },\n {\n \"question_id\": \"70946\",\n \"answer\": \"Denver\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XII. DINGAAN'S BET \n\nAs I advanced to the wagons accompanied by Kambula and his two companions, I saw that Marais, in a state of great excitement, was engaged in haranguing the two Prinsloo men and Meyer, while the Vrouw Prinsloo and Marie appeared to be attempting to calm him. \n\n\"They are unarmed,\" I heard him shout. \"Let us seize the black devils and hold them as hostages.\" \n\nThereon, led by Marais, the three Boer men came towards us doubtfully, their guns in their hands. \n\n\"Be careful what you are doing,\" I called to them. \"These are envoys,\" and they hung back a little while Marais went on with his haranguing. \n\nThe Zulus looked at them and at me, then Kambula said: \n\n\"Are you leading us into a trap, Son of George?\" \n\n\"Not so,\" I answered; \"but the Boers are afraid of you and think to take you prisoners.\" \n\n\"Tell them,\" said Kambula quietly, \"that if they kill us or lay a hand on us, as no doubt they can do, very soon every one of them will be dead and their women with them.\" \n\nI repeated this ultimatum energetically enough, but Marais shouted: \n\n\"The Englishman is betraying us to the Zulus! Do not trust him; seize them as I tell you.\" \n\nWhat would have happened I am sure I do not know; but just then the Vrouw Prinsloo came up and caught her husband by the arm, exclaiming: \n\n\"You shall have no part in this fool's business. If Marais wishes to seize the Zulus, let him do so himself. Are you mad or drunk that you should think that Allan would wish to betray Marie to the Kaffirs, to say nothing of the rest of us?\" and she began to wave an extremely dirty \"vatdoek\", or dishcloth, which she always carried about with her and used for every purpose, towards Kambula as a sign of peace. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69883\": \"Who accompanied him toward the wagons?\"\n },\n {\n \"69884\": \"Who was Marais talking to?\"\n },\n {\n \"69885\": \"What was Marie doing?\"\n },\n {\n \"69886\": \"Was anyone else helping her?\"\n },\n {\n \"69887\": \"who?\"\n },\n {\n \"69888\": \"Who wasan envoy?\"\n },\n {\n \"69889\": \"Who was concerned they were being lured into a trap?\"\n },\n {\n \"69890\": \"Was it a trick?\"\n },\n {\n \"69891\": \"who wanted to take them prosiner?\"\n },\n {\n \"69892\": \"Who did Marais want to take prisoner?\"\n },\n {\n \"69893\": \"Who did Marais assume was betraying them?\"\n },\n {\n \"69894\": \"Who averted the fight?\"\n },\n {\n \"69895\": \"How did she do that?\"\n },\n {\n \"69896\": \"what did she say ot him?\"\n },\n {\n \"69897\": \"What was she waving?\"\n },\n {\n \"69898\": \"what is that?\"\n },\n {\n \"69899\": \"was it clean?\"\n },\n {\n \"69900\": \"why did she have it with her?\"\n },\n {\n \"69901\": \"What did Kambula threaten would happen to the Boers if they attacked?\"\n },\n {\n \"69902\": \"were the Zulus armed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69883\",\n \"answer\": \"Kambula and his two companions\"\n },\n {\n \"question_id\": \"69884\",\n \"answer\": \"two Prinsloo men and Meyer\"\n },\n {\n \"question_id\": \"69885\",\n \"answer\": \"attempting to calm him\"\n },\n {\n \"question_id\": \"69886\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69887\",\n \"answer\": \"Vrouw Prinsloo\"\n },\n {\n \"question_id\": \"69888\",\n \"answer\": \"Kambula and his companions\"\n },\n {\n \"question_id\": \"69889\",\n \"answer\": \"Kambula\"\n },\n {\n \"question_id\": \"69890\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69891\",\n \"answer\": \"the boers\"\n },\n {\n \"question_id\": \"69892\",\n \"answer\": \"Kambula and his companions\"\n },\n {\n \"question_id\": \"69893\",\n \"answer\": \"the Englishman\"\n },\n {\n \"question_id\": \"69894\",\n \"answer\": \"Vrouw Prinsloo\"\n },\n {\n \"question_id\": \"69895\",\n \"answer\": \"caught her husband by the arm\"\n },\n {\n \"question_id\": \"69896\",\n \"answer\": \"He wouldn't take part in it\"\n },\n {\n \"question_id\": \"69897\",\n \"answer\": \"a vatdoek\"\n },\n {\n \"question_id\": \"69898\",\n \"answer\": \"dishcloth\"\n },\n {\n \"question_id\": \"69899\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69900\",\n \"answer\": \"she always carried it with her\"\n },\n {\n \"question_id\": \"69901\",\n \"answer\": \"soon they and their women would be dead\"\n },\n {\n \"question_id\": \"69902\",\n \"answer\": \"Tno\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One day, Phoebe woke up and found that her house had been broken into. Her front door was wide open. She went into the living room and saw that her television set and stereo were missing. She checked the kitchen, but didn't find anything missing there except for a clock. Then she saw that her purse had been stolen too. She called the police to report what had happened. The police officer told her that there had been a lot of cases like this in her neighborhood lately, and they were looking for the criminals. Phoebe went into her bedroom and started to cry. She had no money to buy a new television set or stereo. She was scared that the robbers might try to break into her house again. She called her friend Mary and asked her what to do. Mary told Phoebe to change her front door lock right away. She said she knew a detective who could try to find the robber who had broken into her house. Phoebe thanked Mary, and said she felt safe knowing that there was someone who could help her catch the robber so he wouldn't do it again.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14534\": \"How many things were stolen?\"\n },\n {\n \"14535\": \"What where they?\"\n },\n {\n \"14536\": \"How did they get in?\"\n },\n {\n \"14537\": \"Who did she call first?\"\n },\n {\n \"14538\": \"Had they found the robbers?\"\n },\n {\n \"14539\": \"Who was the next person she talked to\"\n },\n {\n \"14540\": \"What advice did she give?\"\n },\n {\n \"14541\": \"Who did she say cold be of assistance?\"\n },\n {\n \"14542\": \"Could she replace her taken belongings?\"\n },\n {\n \"14543\": \"why not?\"\n },\n {\n \"14544\": \"Was she the only victim?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14534\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"14535\",\n \"answer\": \"her television set and stereo\"\n },\n {\n \"question_id\": \"14536\",\n \"answer\": \"Her front door\"\n },\n {\n \"question_id\": \"14537\",\n \"answer\": \"the police\"\n },\n {\n \"question_id\": \"14538\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"14539\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"14540\",\n \"answer\": \"to change her front door lock right away.\"\n },\n {\n \"question_id\": \"14541\",\n \"answer\": \"a detective\"\n },\n {\n \"question_id\": \"14542\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14543\",\n \"answer\": \"She had no money\"\n },\n {\n \"question_id\": \"14544\",\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 \"Food in France is still primarily about pleasure,\"says Mark Singer, technical director of cuisine at Le Cordon Bleu in Paris.\"Cooking and eating are both pastimes and pleasure.\"The French might start their day with bread, butter, jam, and perhaps something hot to drink -- it's a time of the day when the whole family can be united. Singer, born in Philadelphia, has lived in France for more than 40 years. \n\n\"Although things have changed greatly in the past 20 years when it comes to food in the country,\"he says,\"and what was a big affair with eating has been slowly softened up, there are still events in the year, like birthdays and New Year's Eve and Christmas Eve that are still really anchored in traditional food and cooking. But it's not every day.\" \n\nSome people think French food life may be a performance, adds Jennifer Berg, director of graduate food studies at New York University.\"They want to believe that France is this nation where people are spending five hours a day going to 12 different markets to get their food. The reality is most croissants are factory-made, and most people are buying convenience food, except for the very small group of people in high society. But part of our identity relies on believing that myth.\" \n\nIn Italy, as in France, takeout is still ly rare.\"Eating fast is not at all part of our culture,\"says Marco Bolasco, editorial director of Slow Food and an Italian food expert. Our meals are relaxed, even during a lunch break. Food in Italy is love, and nutrition, and pleasure, he says. An Italian child's first experience with food is not small round cakes or rice or eggs, but probably ice cream, notes Bolasco. Status and wealth play less of a role in food.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54027\": \"Contrary to reputation, how are most croissants made?\"\n },\n {\n \"54028\": \"Which group of people don't buy fast food?\"\n },\n {\n \"54029\": \"What's a French holiday that is still associated with traditional food?\"\n },\n {\n \"54030\": \"Who is the technical director at Le Cordon Bleu?\"\n },\n {\n \"54031\": \"What does he say French food is about?\"\n },\n {\n \"54032\": \"Where was he born?\"\n },\n {\n \"54033\": \"How long has he lived in France?\"\n },\n {\n \"54034\": \"What is Jennifer Berg's profession?\"\n },\n {\n \"54035\": \"Who is the editorial director of Slow Food?\"\n },\n {\n \"54036\": \"Does he feel like Italian meals are hurried?\"\n },\n {\n \"54037\": \"What does he say a child's first food might be?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54027\",\n \"answer\": \"Most croissants are factory-made\"\n },\n {\n \"question_id\": \"54028\",\n \"answer\": \"Italians\"\n },\n {\n \"question_id\": \"54029\",\n \"answer\": \"New Year's Eve\"\n },\n {\n \"question_id\": \"54030\",\n \"answer\": \"Mark Singer\"\n },\n {\n \"question_id\": \"54031\",\n \"answer\": \"Pleasure\"\n },\n {\n \"question_id\": \"54032\",\n \"answer\": \"Philadelphia\"\n },\n {\n \"question_id\": \"54033\",\n \"answer\": \"More than 40 years.\"\n },\n {\n \"question_id\": \"54034\",\n \"answer\": \"Director of graduate food studies\"\n },\n {\n \"question_id\": \"54035\",\n \"answer\": \"Marco Bolasco\"\n },\n {\n \"question_id\": \"54036\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54037\",\n \"answer\": \"Ice cream\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hunting is the practice of killing or trapping any animal, or pursuing or tracking it with the intent of doing so. Hunting wildlife or feral animals is most commonly done by humans for food, recreation, to remove predators which are dangerous to humans or domestic animals, or for trade. In the 2010s, lawful hunting is distinguished from poaching, which is the illegal killing, trapping or capture of the hunted species. The species that are hunted are referred to as game or prey and are usually mammals and birds. \n\nFurthermore, evidence exists that hunting may have been one of the multiple environmental factors leading to extinctions of the holocene megafauna and their replacement by smaller herbivores. North American megafauna extinction was coincidental with the Younger Dryas impact event, possibly making hunting a less critical factor in prehistoric species loss than had been previously thought. However, in other locations such as Australia, humans are thought to have played a very significant role in the extinction of the Australian megafauna that was widespread prior to human occupation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73289\": \"are megafauna extinct?\"\n },\n {\n \"73290\": \"are poaching and lawful hunting the same?\"\n },\n {\n \"73291\": \"what is poaching?\"\n },\n {\n \"73292\": \"what are prey?\"\n },\n {\n \"73293\": \"are humans usually hunted?\"\n },\n {\n \"73294\": \"what are usually hunted?\"\n },\n {\n \"73295\": \"does hunting involve trapping animals?\"\n },\n {\n \"73296\": \"how many purposes for hunting are listed\"\n },\n {\n \"73297\": \"did humans impact extinction in Australia?\"\n },\n {\n \"73298\": \"what is one purpose of hunting\"\n },\n {\n \"73299\": \"what also happened at time of North American extinction?\"\n },\n {\n \"73300\": \"what were megafauna replaced by?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73289\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73290\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73291\",\n \"answer\": \"the illegal killing, trapping or capture of the hunted species\"\n },\n {\n \"question_id\": \"73292\",\n \"answer\": \"The species that are hunted\"\n },\n {\n \"question_id\": \"73293\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73294\",\n \"answer\": \"mammals and birds.\"\n },\n {\n \"question_id\": \"73295\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73296\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"73297\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73298\",\n \"answer\": \"trapping any animal\"\n },\n {\n \"question_id\": \"73299\",\n \"answer\": \"the Younger Dryas impact event,\"\n },\n {\n \"question_id\": \"73300\",\n \"answer\": \"smaller herbivores.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Schalke moved to within a point of German Bundesliga leaders Bayer Leverkusen after winning 2-0 away to fellow title hopefuls Werder Bremen on Saturday night. \n\nKevin Kuranyi and Jan Moravek scored in the second half to put Schalke a point above third-placed Bayern Munich, who earlier crushed lowly Bochum 5-1 to cap a memorable week. \n\nFormer Germany striker Kuranyi put Schalke ahead two minutes after halftime and midfielder Moravek ensured Bremen's first league defeat since the opening day of the season with his 72nd-minute goal. \n\nBremen could also have closed to within a point of Leverkusen, who were held 2-2 at bottom club Hertha Berlin on Friday night, but ended the night two points adrift of Bayern. \n\nLouis Van Gaal's Bayern, runners-up to Wolfsburg last season, briefly reached their highest league position since he took over as coach in the summer as Mario Gomez continued his recent scoring run with the opening goal at Bochum and strike partner Ivica Olic netted twice. \n\nBayern, who crushed Italian giants Juventus 4-1 in midweek to qualify for the knockout stages of the Champions League, moved to within two points of leaders Bayer Leverkusen, \n\nOlic set up Gomez's 23rd-minute header for the opening goal, and Mergim Mavraj put through his own net 10 minutes later as the Germany international tried to repay the favor to the Croatian. \n\nOlic got on the scoresheet two minutes before halftime from Bastian Schweinsteiger's cross and made it 4-0 four minutes after the break with a header from Holger Badstuber's delivery. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3920\": \"Who won 2-0?\"\n },\n {\n \"3921\": \"who are hopefuls?\"\n },\n {\n \"3922\": \"who is the former striker for Germany?\"\n },\n {\n \"3923\": \"when did he put his team ahead?\"\n },\n {\n \"3924\": \"with whom did he score in the second half?\"\n },\n {\n \"3925\": \"who is runners up to Wolfsburg last season?\"\n },\n {\n \"3926\": \"who did they crush midweek?\"\n },\n {\n \"3927\": \"what was the crushing score?\"\n },\n {\n \"3928\": \"what did that qualify them for?\"\n },\n {\n \"3929\": \"they moved to within two points of...?\"\n },\n {\n \"3930\": \"who set up a 23rd minute header?\"\n },\n {\n \"3931\": \"whose header was it?\"\n },\n {\n \"3932\": \"When did Olic get on the scoresheet?\"\n },\n {\n \"3933\": \"who made the cross?\"\n },\n {\n \"3934\": \"what was the score then?\"\n },\n {\n \"3935\": \"who could have closed within a point of Leverkusen?\"\n },\n {\n \"3936\": \"where was someone held 2-2?\"\n },\n {\n \"3937\": \"on what night did that happen?\"\n },\n {\n \"3938\": \"how many points did they end up adrift?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3920\",\n \"answer\": \"Schalke\"\n },\n {\n \"question_id\": \"3921\",\n \"answer\": \"Werder Bremen\"\n },\n {\n \"question_id\": \"3922\",\n \"answer\": \"Kuranyi\"\n },\n {\n \"question_id\": \"3923\",\n \"answer\": \"two minutes after halftime\"\n },\n {\n \"question_id\": \"3924\",\n \"answer\": \"Jan Moravek\"\n },\n {\n \"question_id\": \"3925\",\n \"answer\": \"Louis Van Gaal's Bayern\"\n },\n {\n \"question_id\": \"3926\",\n \"answer\": \"Italian giants\"\n },\n {\n \"question_id\": \"3927\",\n \"answer\": \"4-1\"\n },\n {\n \"question_id\": \"3928\",\n \"answer\": \"the knockout stages of the Champions League,\"\n },\n {\n \"question_id\": \"3929\",\n \"answer\": \"Bayer Leverkusen\"\n },\n {\n \"question_id\": \"3930\",\n \"answer\": \"Ivica Olic\"\n },\n {\n \"question_id\": \"3931\",\n \"answer\": \"Gomez's\"\n },\n {\n \"question_id\": \"3932\",\n \"answer\": \"two minutes before halftime\"\n },\n {\n \"question_id\": \"3933\",\n \"answer\": \"Bastian Schweinsteiger\"\n },\n {\n \"question_id\": \"3934\",\n \"answer\": \"4-0\"\n },\n {\n \"question_id\": \"3935\",\n \"answer\": \"Bremen\"\n },\n {\n \"question_id\": \"3936\",\n \"answer\": \"Hertha Berlin\"\n },\n {\n \"question_id\": \"3937\",\n \"answer\": \"Friday night\"\n },\n {\n \"question_id\": \"3938\",\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 Hetty Robinson learnt all about money when very young. As a child, she read the financial pages of the newspaper to her rich father. Her father died when Hetty was 30, and she inherited $1 million. When she herself died in 1916, she left almost $100 million to her two children. \n\nHetty made her money on the New York stock exchange. She was a financial genius. She made money so easily that people called her the Witch of Wall Street. But although she was one of the richest women in the world, she counted every cent and spent as little as possible. She didn't own a house, because she didn't want to pay taxes. So she and her children lived in cheap hotels. She spent almost nothing on clothes, and always wore the same long black dress. She washed it herself, but to save soap she only washed the bottom of the dress, where it touched the ground. Other people had their own offices, but Hetty used a desk in the bank where she kept her money, because it didn't cost anything. She sat in the bank and ate her sandwiches while she bought and sold stocks and shares. If the bank complained, she just moved all her money to another bank. \n\nHetty's family paid the price for her meanness. When she was 33 she married a millionaire, Edward Green, and they had two children. But Green lost all his money, so she left him. When her son, Ned, injured his knee, Hetty didn't want to pay for a doctor, so she took him to a free hospital for poor people. Unfortunately the doctor knew Hetty was rich and he asked for money. Hetty refused and took the boy away. His leg got worse and two years later doctors removed it. \n\nBut eventually Ned got his revenge . At the age of 81, Hetty had an argument with a shop assistant about the price of a bottle of milk. She became so angry that she had a heart attack and died. So Hetty's meanness finally killed her. Ned inherited half his mother's fortune, and he spent it all on parties, holidays and expensive jewellery.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4150\": \"How old was Hetty when her dad died?\"\n },\n {\n \"4151\": \"What did people call her?\"\n },\n {\n \"4152\": \"Was she poor?\"\n },\n {\n \"4153\": \"Was she a spendthrift?\"\n },\n {\n \"4154\": \"Who did she marry?\"\n },\n {\n \"4155\": \"Did they have children?\"\n },\n {\n \"4156\": \"How many?\"\n },\n {\n \"4157\": \"What happened to her son?\"\n },\n {\n \"4158\": \"Did she take him to the best hospital?\"\n },\n {\n \"4159\": \"Did the doctor ask for money?\"\n },\n {\n \"4160\": \"Did she pay?\"\n },\n {\n \"4161\": \"What happened to her son as a result?\"\n },\n {\n \"4162\": \"How old was she when she died?\"\n },\n {\n \"4163\": \"What did she die of?\"\n },\n {\n \"4164\": \"What did Ned inherit?\"\n },\n {\n \"4165\": \"What did he spend the money on?\"\n },\n {\n \"4166\": \"Where did she make all her money?\"\n },\n {\n \"4167\": \"Where did she and her children live?\"\n },\n {\n \"4168\": \"What did she always wear?\"\n },\n {\n \"4169\": \"Did she take the dress to the cleaners?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4150\",\n \"answer\": \"30\"\n },\n {\n \"question_id\": \"4151\",\n \"answer\": \"the Witch of Wall Street.\"\n },\n {\n \"question_id\": \"4152\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4153\",\n \"answer\": \"she spent as little as possible\"\n },\n {\n \"question_id\": \"4154\",\n \"answer\": \"Edward Green\"\n },\n {\n \"question_id\": \"4155\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4156\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"4157\",\n \"answer\": \"he injured his knee\"\n },\n {\n \"question_id\": \"4158\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4159\",\n \"answer\": \"yeds\"\n },\n {\n \"question_id\": \"4160\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4161\",\n \"answer\": \"he lost his leg\"\n },\n {\n \"question_id\": \"4162\",\n \"answer\": \"81\"\n },\n {\n \"question_id\": \"4163\",\n \"answer\": \"heart attack\"\n },\n {\n \"question_id\": \"4164\",\n \"answer\": \"half his mother's fortune,\"\n },\n {\n \"question_id\": \"4165\",\n \"answer\": \"on parties, holidays and jewellery\"\n },\n {\n \"question_id\": \"4166\",\n \"answer\": \"New York stock exchange.\"\n },\n {\n \"question_id\": \"4167\",\n \"answer\": \"cheap hotels\"\n },\n {\n \"question_id\": \"4168\",\n \"answer\": \"a black dress\"\n },\n {\n \"question_id\": \"4169\",\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 What would you do if you found a snake in your house? Many people might be afraid or try to kill it. However, if you live in North Carolina in the USA, one thing you can do is to call the Snake Catchers. The Snake Catchers are four men who love snakes, even poisonous ones. Their newspaper advertisement says, \"Snake Catchers: free snake removal Please do not kill them -- Call us. \" The Snake Catchers, who started their service in 1998, don't charge anything for helping people. \"We do this as a hobby,\" explained Fred Johnson, one of the Snake Catchers. Because of their love of snakes, the Snake Catchers try to keep them alive. \"One man asked us to kill a python , so he could make a pair of boots from the skin. We refused, because we like snakes, and we don't want to see them killed, \" said Fred. Some of the snakes that they catch are kept as pets; some are given to the North Carolina State University. Most, including the poisonous snakes, are set free in the wild, usually in a national park. Fred suggests that people should treat snakes with care. \"Actually snakes are very shy and gentle creatures. They only attack if they are frightened. However, you have to know how to treat a snake properly!\" According to one happy family, the Snake Catchers are good. One day, the Greenwood family found a snake skin in the kitchen. They looked very carefully and saw a snake sleeping behind a cupboard. They thought about what to do. Then Steve Greenwood remembered the advertisement for the Snake Catchers. He called them. \"The Snake Catchers arrived within an hour and they finished the job quickly too,\" said Steve Greenwood. \"One of them went into the kitchen, found the snake and took it out alive. The Snake Catchers did a very good job.\" Last year, the Snake Catchers removed more than seventy snakes from houses in North Carolina.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20429\": \"Where are the Snake Catchers located?\"\n },\n {\n \"20430\": \"How many people are in the group?\"\n },\n {\n \"20431\": \"When did they start?\"\n },\n {\n \"20432\": \"Where do they place ads?\"\n },\n {\n \"20433\": \"What is the name of one of the families that contacted them?\"\n },\n {\n \"20434\": \"Where did they find a creature?\"\n },\n {\n \"20435\": \"What was it doing?\"\n },\n {\n \"20436\": \"When did the Snake Catcher arrive?\"\n },\n {\n \"20437\": \"What did they do?\"\n },\n {\n \"20438\": \"How many did they remove last year?\"\n },\n {\n \"20439\": \"All in North Carolina?\"\n },\n {\n \"20440\": \"Do they ever kill the snakes?\"\n },\n {\n \"20441\": \"Why not?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20429\",\n \"answer\": \"North Carolina\"\n },\n {\n \"question_id\": \"20430\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"20431\",\n \"answer\": \"1998\"\n },\n {\n \"question_id\": \"20432\",\n \"answer\": \"North Carolina State University\"\n },\n {\n \"question_id\": \"20433\",\n \"answer\": \"the Greenwood family\"\n },\n {\n \"question_id\": \"20434\",\n \"answer\": \"kitchen\"\n },\n {\n \"question_id\": \"20435\",\n \"answer\": \"sleeping\"\n },\n {\n \"question_id\": \"20436\",\n \"answer\": \"within an hour\"\n },\n {\n \"question_id\": \"20437\",\n \"answer\": \"found the snake and took it out alive\"\n },\n {\n \"question_id\": \"20438\",\n \"answer\": \"seventy\"\n },\n {\n \"question_id\": \"20439\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20440\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20441\",\n \"answer\": \"they like snakes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nMarie and Victor \n\n\"Are you taking me to the girls, Harry?\" \n\n\"No,\" Harry said. \"It would not be safe to do so. There are already suspicions, and they have been denounced.\" \n\nMarie gave a cry of alarm. \n\n\"I have managed to suppress the document, Marie, and we start with them in a day or two. Still it will be better for you not to go near them. I will arrange for you to meet them to-morrow.\" \n\n\"Where am I going, then?\" \n\n\"You are going to the house of a worthy couple, who have shown themselves faithful and trustworthy by nursing a friend of mine, who has for nearly six months been lying ill there. You will be perfectly safe there till we can arrange matters.\" \n\n\"But if Robespierre has signed my release, as they said, I am safe enough, surely, and can go where I like.\" \n\n\"I think you will be safe from re-arrest here in Paris, Marie, because you could appeal to him; but outside Paris it might be different. However, we can talk about that to-morrow, when you have had a good night's rest.\" \n\nHarry did not think it necessary to say, that when Lebat was missed it would probably be ascertained that he was last seen leaving La Force with her, and that if inquiries were set on foot about him she might be sought for. However, Marie said no more on the subject, quite content that Harry should make whatever arrangements he thought best, and she now began to ask all sorts of questions about her sisters, and so passed the time until they were close to the Place de Carrousel; then Harry called Jacques to stop. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16177\": \"To whom does Marie want to be taken?\"\n },\n {\n \"16178\": \"Is she going there?\"\n },\n {\n \"16179\": \"Why not?\"\n },\n {\n \"16180\": \"When will she see them?\"\n },\n {\n \"16181\": \"Where will she go instead?\"\n },\n {\n \"16182\": \"Are they trustworthy?\"\n },\n {\n \"16183\": \"What good deed have they done?\"\n },\n {\n \"16184\": \"Why are they doing that?\"\n },\n {\n \"16185\": \"For how long?\"\n },\n {\n \"16186\": \"Who signed Marie's release?\"\n },\n {\n \"16187\": \"Will she be safe in Paris?\"\n },\n {\n \"16188\": \"What about elsewhere?\"\n },\n {\n \"16189\": \"When will they discuss her leaving?\"\n },\n {\n \"16190\": \"Where was Lebat seen last?\"\n },\n {\n \"16191\": \"With whom?\"\n },\n {\n \"16192\": \"Who did she ask about?\"\n },\n {\n \"16193\": \"Where were they traveling to?\"\n },\n {\n \"16194\": \"Who was taking them there?\"\n },\n {\n \"16195\": \"What did Harry suppress?\"\n },\n {\n \"16196\": \"Will she be safe with the couple?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"16177\",\n \"answer\": \"the girls\"\n },\n {\n \"question_id\": \"16178\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16179\",\n \"answer\": \"It would not be safe\"\n },\n {\n \"question_id\": \"16180\",\n \"answer\": \"to-morrow\"\n },\n {\n \"question_id\": \"16181\",\n \"answer\": \"the house of a worthy couple\"\n },\n {\n \"question_id\": \"16182\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16183\",\n \"answer\": \"nursing a friend\"\n },\n {\n \"question_id\": \"16184\",\n \"answer\": \"he is ill\"\n },\n {\n \"question_id\": \"16185\",\n \"answer\": \"nearly six months\"\n },\n {\n \"question_id\": \"16186\",\n \"answer\": \"Robespierre\"\n },\n {\n \"question_id\": \"16187\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16188\",\n \"answer\": \"it might be different\"\n },\n {\n \"question_id\": \"16189\",\n \"answer\": \"to-morrow\"\n },\n {\n \"question_id\": \"16190\",\n \"answer\": \"leaving La Force\"\n },\n {\n \"question_id\": \"16191\",\n \"answer\": \"Marie\"\n },\n {\n \"question_id\": \"16192\",\n \"answer\": \"her sisters\"\n },\n {\n \"question_id\": \"16193\",\n \"answer\": \"the Place de Carrousel\"\n },\n {\n \"question_id\": \"16194\",\n \"answer\": \"Jacques\"\n },\n {\n \"question_id\": \"16195\",\n \"answer\": \"the document\"\n },\n {\n \"question_id\": \"16196\",\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)Jordan executed two al Qaeda prisoners before dawn Wednesday, following through on a promised strong response to the ISIS killing of pilot Moath al-Kasasbeh, a government spokesman said. \n\nPut to death were Sajida al-Rishawi, the Iraqi would-be suicide bomber whose release ISIS had previously requested, and Ziad Karbouli, a former top aide to the deceased leader of al Qaeda in Iraq, Abu Musab al-Zarqawi, the spokesman said. \n\nAl-Rishawi was executed for her role in a 2005 suicide bombing at a wedding reception in Jordan that killed dozens. Karbouli was sentenced to death in 2007 after he was convicted of acts of terrorism that killed one person, the plotting of more terrorist attacks and the possession of explosives, the Jordanian spokesman said. \n\nThe executions come a day after video and stills appeared to show a Jordanian military pilot being burned alive while confined in a cage. \n\nCNN is not showing images of the killing, which triggered global condemnation and prompted immediate promises of retaliation and protests in Jordan, one of more than 60 nations involved in the U.S.-led coalition against ISIS in Iraq and Syria. \n\nThe 22-minute video begins with an attack on Jordan's King Abdullah II, suggesting he is to blame for what happened to the pilot, Moath al-Kasasbeh. \n\nA short time after the video became public, Jordanian military spokesman Mamdouh Al Amri said al-Kasasbeh was \"assassinated\" on January 3. \n\nHis statement indicates the back-and-forth in recent weeks between Jordan and ISIS about a possible prisoner exchange to free the pilot took place after his death. Jordan repeatedly had asked ISIS to show proof that al-Kasasbeh was alive. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93049\": \"what happened in 2005?\"\n },\n {\n \"93050\": \"where?\"\n },\n {\n \"93051\": \"did people die?\"\n },\n {\n \"93052\": \"more than 20?\"\n },\n {\n \"93053\": \"was the responsible party caught?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93049\",\n \"answer\": \"A suicide bombing\"\n },\n {\n \"question_id\": \"93050\",\n \"answer\": \"Jordan\"\n },\n {\n \"question_id\": \"93051\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93052\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93053\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One morning, Daddy, Ethan, and I went out shopping for Mother's day gifts. First we went to buy some flowers. I found a nice big bunch of pink roses that were very pretty. Then we went and bought a card. There were a lot to choose from, some of them had pictures of kids and some of them had pictures of animals. Daddy wanted to get one with a kid hugging his mommy but Ethan wanted the one with a cat on it, and I wanted the one with a dog on it. We ended up getting all three. Then we went to buy ingredients so we could cook breakfast. On Mother's day I helped Daddy make breakfast. We made chocolate pancakes and eggs. It was very messy but a lot of fun. Mommy loved getting breakfast in bed and she liked the flowers and cards. We also went out to go to the park after breakfast. It was a beautiful day and a lot of fun. I can't wait for mother's day to come by again!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84165\": \"Who made breakfast?\"\n },\n {\n \"84166\": \"What did they make?\"\n },\n {\n \"84167\": \"How many things did Mommy get?\"\n },\n {\n \"84168\": \"What were they?\"\n },\n {\n \"84169\": \"What kind of flowers?\"\n },\n {\n \"84170\": \"What kind of cards?\"\n },\n {\n \"84171\": \"So how did you decide?\"\n },\n {\n \"84172\": \"Did you go anywhere?\"\n },\n {\n \"84173\": \"Where?\"\n },\n {\n \"84174\": \"How many people went?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"84165\",\n \"answer\": \"Daddy and I\"\n },\n {\n \"question_id\": \"84166\",\n \"answer\": \"chocolate pancakes and eggs\"\n },\n {\n \"question_id\": \"84167\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"84168\",\n \"answer\": \"flowers and cards\"\n },\n {\n \"question_id\": \"84169\",\n \"answer\": \"pink roses\"\n },\n {\n \"question_id\": \"84170\",\n \"answer\": \"a kid hugging his mommy but Ethan wanted the one with a cat on it, and I wanted the one with a dog on it\"\n },\n {\n \"question_id\": \"84171\",\n \"answer\": \"Got all three\"\n },\n {\n \"question_id\": \"84172\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84173\",\n \"answer\": \"the park\"\n },\n {\n \"question_id\": \"84174\",\n \"answer\": \"five\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sarajevo is the capital and largest city of Bosnia and Herzegovina, with a population of 275,524 in its current administrative limits. The Sarajevo metropolitan area, including Sarajevo Canton and East Sarajevo is home to 643,016 inhabitants. Nestled within the greater Sarajevo valley of Bosnia, it is surrounded by the Dinaric Alps and situated along the Miljacka River in the heart of Southeastern Europe and the Balkans. \n\nSarajevo is the leading political, social and cultural center of Bosnia and Herzegovina, a prominent center of culture in the Balkans, with its region-wide influence in entertainment, media, fashion, and the arts. \n\nDue to its long and rich history of religious and cultural diversity, Sarajevo was sometimes called the \"Jerusalem of Europe\" or \"Jerusalem of the Balkans\". It is the only major European city to have a mosque, Catholic church, Orthodox church and synagogue within the same neighborhood. A regional center in education, the city is also home to the Balkans' first institution of tertiary education in the form of an Islamic polytechnic called the Saraybosna Osmanlı Medrese, today part of the University of Sarajevo. \n\nAlthough settlement in the area stretches back to prehistoric times, the modern city arose as an Ottoman stronghold in the 15th century. Sarajevo has attracted international attention several times throughout its history. In 1885, Sarajevo was the first city in Europe and the second city in the world to have a full-time electric tram network running through the city, following San Francisco. In 1914, it was the site of the assassination of Archduke Franz Ferdinand of Austria that sparked World War I, after which the city experienced a period of stagnation as part of the Kingdom of Yugoslavia. The establishment of the Socialist Republic of Bosnia and Herzegovina within the Second Yugoslavia led to a massive expansion of Sarajevo, the constituent republic's capital, which hosted the 1984 Winter Olympics. For 1,425 days, from April 1992 to February 1996, the city suffered the longest siege of a capital city in the history of modern warfare, during the Bosnian War and the breakup of Yugoslavia.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56933\": \"What is the Capital of Bosnia and Herzegovina?\"\n },\n {\n \"56934\": \"What is the populaion?\"\n },\n {\n \"56935\": \"What is a nickname of Sarajevo?\"\n },\n {\n \"56936\": \"What else?\"\n },\n {\n \"56937\": \"When did the modern day city rise?\"\n },\n {\n \"56938\": \"What is it surrounded by?\"\n },\n {\n \"56939\": \"What mountains surround it?\"\n },\n {\n \"56940\": \"What part of Europe is it located in?\"\n },\n {\n \"56941\": \"What is Sarajevo the 2nd city in the world to have?\"\n },\n {\n \"56942\": \"Behind what other city?\"\n },\n {\n \"56943\": \"Who was murdered in 1914?\"\n },\n {\n \"56944\": \"From where?\"\n },\n {\n \"56945\": \"What did that murder cause?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"56933\",\n \"answer\": \"Sarajevo\"\n },\n {\n \"question_id\": \"56934\",\n \"answer\": \"275,524\"\n },\n {\n \"question_id\": \"56935\",\n \"answer\": \"Jerusalem of Europe\"\n },\n {\n \"question_id\": \"56936\",\n \"answer\": \"Jerusalem of the Balkans\"\n },\n {\n \"question_id\": \"56937\",\n \"answer\": \"15th century\"\n },\n {\n \"question_id\": \"56938\",\n \"answer\": \"the greater Sarajevo valley\"\n },\n {\n \"question_id\": \"56939\",\n \"answer\": \"Dinaric Alps\"\n },\n {\n \"question_id\": \"56940\",\n \"answer\": \"Southeastern\"\n },\n {\n \"question_id\": \"56941\",\n \"answer\": \"to have a full-time electric tram\"\n },\n {\n \"question_id\": \"56942\",\n \"answer\": \"San Francisco\"\n },\n {\n \"question_id\": \"56943\",\n \"answer\": \"Archduke Franz Ferdinand\"\n },\n {\n \"question_id\": \"56944\",\n \"answer\": \"Austria\"\n },\n {\n \"question_id\": \"56945\",\n \"answer\": \"World War I,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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's Storybooks and Tales: This site is dedicated to Children's Story Books and how to tell Children's Stories. If you enjoy a child's story or have kids of your own then please browse this site to find some great stories and how to read them. \n\nThe Cat in the Hat---Dr. Seuss \n\nIn the first book featuring the character (The Cat in the Hat, 1957), the Cat brings chaos to a household of two young children on one rainy day while their mother is out. Bringing with him two creatures appropriately named Thing One and Thing Two, the Cat performs all sorts of tricks to amuse the children, with mixed results. The Cat's tricks are vainly opposed by the family pet, who is a conscious goldfish. The children (Sally and her older brother) finally prove good ones, capturing the Things and bringing the Cat under control. He cleans up the house on his way out, disappearing seconds before the mother comes back. \n\nThe Famous Fire---Enid Blyton \n\nThe Famous Fire is Enid Blyton's most popular and celebrated series of children's books. The sequence began life in 1942, when the first book, Fire on a Treasure Island was published and it has won great praise from both fans and critics. The series has gone on to become amongst the best-loved stories ever to have been written for children. \n\nTom and Pippo in the Garden---Helen Oxenbury \n\nIn 1988 Helen Oxenbury created a series of books featuring Tom, a naughty young boy, and his beloved stuffed monkey, Pippo. Ms. Oxenbury remarked that Tom was very much like her son \"when he was a little boy\". Like Tom, her son would often blame his misdeeds on his trusted buddy, the friendly family dog. \n\nThe BFG---Roald Dahl \n\nThe story is about an orphan girl named Sophie. One night when Sophie cannot sleep during the \"witching hour\" and sees a giant blowing something into bedroom windows down the street. The giant sees her, and although she tries to hide in the bed, he reaches through the window and carries her away to his home.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3424\": \"What is the name of Blyton's most popular books?\"\n },\n {\n \"3425\": \"When was the first book of her series published?\"\n },\n {\n \"3426\": \"What was the title of it?\"\n },\n {\n \"3427\": \"Did it win favor with critics?\"\n },\n {\n \"3428\": \"In what year was the first Cat in the Hat book published?\"\n },\n {\n \"3429\": \"How many kids are in the family in that book?\"\n },\n {\n \"3430\": \"Who is out when the events in this book take place?\"\n },\n {\n \"3431\": \"Did the Cat bring any living things with him?\"\n },\n {\n \"3432\": \"How many?\"\n },\n {\n \"3433\": \"What were they called?\"\n },\n {\n \"3434\": \"When did Oxenbury publish her series?\"\n },\n {\n \"3435\": \"What was the name of the boy in her series?\"\n },\n {\n \"3436\": \"What was Tom's stuffed animal called?\"\n },\n {\n \"3437\": \"What sort of animal was he?\"\n },\n {\n \"3438\": \"Who would Oxenbury's son blame for his wrong doings?\"\n },\n {\n \"3439\": \"In the Cat in the Hat books, what sort of pet does the children have?\"\n },\n {\n \"3440\": \"What is the girl's name in those books?\"\n },\n {\n \"3441\": \"What is the girl's name in Dahl's book?\"\n },\n {\n \"3442\": \"At what time can she not sleep?\"\n },\n {\n \"3443\": \"What does she see?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3424\",\n \"answer\": \"The Famous Fire\"\n },\n {\n \"question_id\": \"3425\",\n \"answer\": \"1942\"\n },\n {\n \"question_id\": \"3426\",\n \"answer\": \"Fire on Treasure Island\"\n },\n {\n \"question_id\": \"3427\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3428\",\n \"answer\": \"1957\"\n },\n {\n \"question_id\": \"3429\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"3430\",\n \"answer\": \"The mother\"\n },\n {\n \"question_id\": \"3431\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3432\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"3433\",\n \"answer\": \"Thing One and Thing Two\"\n },\n {\n \"question_id\": \"3434\",\n \"answer\": \"In 1988\"\n },\n {\n \"question_id\": \"3435\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"3436\",\n \"answer\": \"Pippo\"\n },\n {\n \"question_id\": \"3437\",\n \"answer\": \"Monkey\"\n },\n {\n \"question_id\": \"3438\",\n \"answer\": \"The family dog\"\n },\n {\n \"question_id\": \"3439\",\n \"answer\": \"Goldfish\"\n },\n {\n \"question_id\": \"3440\",\n \"answer\": \"Sally\"\n },\n {\n \"question_id\": \"3441\",\n \"answer\": \"Sophie\"\n },\n {\n \"question_id\": \"3442\",\n \"answer\": \"During the \\\"witching hour\\\"\"\n },\n {\n \"question_id\": \"3443\",\n \"answer\": \"A giant\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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"
}
] |
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