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 Chinese characters are logograms used in the writing of Chinese and some other Asian languages. In Standard Chinese they are called Hanzi (simplified Chinese: 汉字; traditional Chinese: 漢字). They have been adapted to write a number of other languages including: Japanese, where they are known as kanji, Korean, where they are known as hanja, and Vietnamese in a system known as chữ Nôm. Collectively, they are known as CJKV characters. In English, they are sometimes called Han characters. Chinese characters constitute the oldest continuously used system of writing in the world. By virtue of their widespread current use in East Asia, and historic use throughout the Sinosphere, Chinese characters are among the most widely adopted writing systems in the world. \n\nChinese characters number in the tens of thousands, though most of them are minor graphic variants encountered only in historical texts. Studies in China have shown that functional literacy in written Chinese requires a knowledge of between three and four thousand characters. In Japan, 2,136 are taught through secondary school (the Jōyō kanji); hundreds more are in everyday use. There are various national standard lists of characters, forms, and pronunciations. Simplified forms of certain characters are used in China, Singapore, and Malaysia; the corresponding traditional characters are used in Taiwan, Hong Kong, Macau, and to a limited extent in South Korea. In Japan, common characters are written in post-WWII Japan-specific simplified forms (shinjitai), which are closer to traditional forms than Chinese simplifications, while uncommon characters are written in Japanese traditional forms (kyūjitai), which are virtually identical to Chinese traditional forms. In South Korea, when Chinese characters are used they are of the traditional variant and are almost identical to those used in places like Taiwan and Hong Kong. Teaching of Chinese characters in South Korea starts in the 7th grade and continues until the 12th grade where 1,800 total characters are taught albeit these characters are only used in certain cases (on signs, academic papers, historical writings, etc.) and are slowly declining in use.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45760\": \"how many letters do they have in Chinese?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45760\",\n \"answer\": \"tens of thousands letters\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 daughter's duty? Adult daughters are often expected to caregiver for older parents. In 2007, Jorjan Sarich and her dad moved from California to Idaho. It was where he wanted to live his rest time. \n\n\"I left my occupation, I left my friends; he did the same thing,\" said Sarich, who bought a house with her father, George Snyder, in the China Gardens neighborhood of Hailey after his health began to decline. Though a graduate student struggling to finish her dissertation , Sarich chose to be her dad's full-time caregiver. \n\n\"It's only now, several years later, that I'm realizing how much work it was. It's the kind of exhaustion that sleep doesn't cure,\" she said. \n\nAbout 6 million Americans provide care to elderly relatives or friends living outside of nursing homes. Laurel Kennedy, author of \"The Daughter Trap\" (Thomas Dunne Books, $25.95), says that women bear a disproportionate share of the burden -- about 70 percent of hands-on care giving such as bathing. \n\n\"I want to be clear: Women don't hate this,\" Kennedy said. \"What they hate is that everyone just assumes they'll do it.\" \n\nKennedy is calling for _ equal to the rise of affordable child care and day care: Employers should help working caregivers by offering accommodations. Men should step up more often. It's unfair that women are always chosen to provide care for an elderly family member. \n\nDespite the hard work it took on Sarich -- interrupted sleep and the knowledge that his 2009 death was the end game, she would do it again. Since about half a century had gone by, she wasn't the person he remembered, and he wasn't the person she remembered either. Caring for her father changed how each saw the other.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6774\": \"What year did Jorjan move?\"\n },\n {\n \"6775\": \"Who did she take with her?\"\n },\n {\n \"6776\": \"Where did they move to?\"\n },\n {\n \"6777\": \"And where did they come from?\"\n },\n {\n \"6778\": \"What was her father's name?\"\n },\n {\n \"6779\": \"Who was George's caregiver?\"\n },\n {\n \"6780\": \"How many Americans are caregivers for elderly friends and relatives?\"\n },\n {\n \"6781\": \"Who wrote The Daughter Trap?\"\n },\n {\n \"6782\": \"How much of the caregiver duties are normally assigned to women?\"\n },\n {\n \"6783\": \"What was the name of their neighborhood?\"\n },\n {\n \"6784\": \"And what town was it in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"6774\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"6775\",\n \"answer\": \"Her dad\"\n },\n {\n \"question_id\": \"6776\",\n \"answer\": \"Idaho\"\n },\n {\n \"question_id\": \"6777\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"6778\",\n \"answer\": \"George Snyder\"\n },\n {\n \"question_id\": \"6779\",\n \"answer\": \"Jorjan\"\n },\n {\n \"question_id\": \"6780\",\n \"answer\": \"6 million\"\n },\n {\n \"question_id\": \"6781\",\n \"answer\": \"Laurel Kennedy\"\n },\n {\n \"question_id\": \"6782\",\n \"answer\": \"70 percent\"\n },\n {\n \"question_id\": \"6783\",\n \"answer\": \"China Gardens\"\n },\n {\n \"question_id\": \"6784\",\n \"answer\": \"Hailey\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sierra Leone (), officially the Republic of Sierra Leone, is a country in West Africa. It is bordered by Guinea to the north-east, Liberia to the south-east, and the Atlantic Ocean to the south-west. Sierra Leone has a tropical climate, with a diverse environment ranging from savannah to rainforests. The country has a total area of and a population of 7,075,641 (based on 2015 national census). It is a constitutional republic with a directly elected president and a unicameral legislature. \n\nSierra Leone is made up of five administrative regions: the Northern Province, Northwestern Province, Eastern Province, Southern Province and the Western Area, which are subdivided into sixteen districts. Each district has its own directly elected local government. Freetown (population 1,050,301), located in the Western Area, is Sierra Leone's capital, largest city and its economic centre. Bo is Sierra Leone's second largest city and is located in the Southern province, 160 miles from Freetown. Kenema (population 200,354) is Sierra Leone\"s third largest city, and is located in the Eastern province, 200 miles from Freetown. Koidu Town is Sierra Leone\"s fourth largest city and is located in the diamond rich Kono District in the Eastern province, 285 miles from Freetown. Makeni is Sierra Leone's fifth largest of the country's five major cities, and is located in the Northern province, 85 miles from Freetown.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42378\": \"Which is the diamond rich district?\"\n },\n {\n \"42379\": \"How far is Koidu from Freetown?\"\n },\n {\n \"42380\": \"What is the official name of the country?\"\n },\n {\n \"42381\": \"What is it\\u2019s population?\"\n },\n {\n \"42382\": \"According to?\"\n },\n {\n \"42383\": \"How many regions is it made up of?\"\n },\n {\n \"42384\": \"What are the regions?\"\n },\n {\n \"42385\": \"How far is Bo from Freetown?\"\n },\n {\n \"42386\": \"What province is Koidu in?\"\n },\n {\n \"42387\": \"What is the 5th largest city?\"\n },\n {\n \"42388\": \"How many districts does the country have?\"\n },\n {\n \"42389\": \"Does each district have it\\u2019s own government?\"\n },\n {\n \"42390\": \"What is the 2nd largest city?\"\n },\n {\n \"42391\": \"Which part of Africa is the country in?\"\n },\n {\n \"42392\": \"what is it's capital city?\"\n },\n {\n \"42393\": \"it's population?\"\n },\n {\n \"42394\": \"does it have any country bordering the south-west?\"\n },\n {\n \"42395\": \"then what?\"\n },\n {\n \"42396\": \"what kind of climate does it have?\"\n },\n {\n \"42397\": \"what is Kenema's population?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42378\",\n \"answer\": \"Koidu Town\"\n },\n {\n \"question_id\": \"42379\",\n \"answer\": \"285 miles\"\n },\n {\n \"question_id\": \"42380\",\n \"answer\": \"the Republic of Sierra Leone\"\n },\n {\n \"question_id\": \"42381\",\n \"answer\": \"7,075,641\"\n },\n {\n \"question_id\": \"42382\",\n \"answer\": \"2015 national census\"\n },\n {\n \"question_id\": \"42383\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"42384\",\n \"answer\": \"the Northern Province, Northwestern Province, Eastern Province, Southern Province and the Western Area\"\n },\n {\n \"question_id\": \"42385\",\n \"answer\": \"160 miles\"\n },\n {\n \"question_id\": \"42386\",\n \"answer\": \"the Eastern province\"\n },\n {\n \"question_id\": \"42387\",\n \"answer\": \"Makeni\"\n },\n {\n \"question_id\": \"42388\",\n \"answer\": \"sixteen districts\"\n },\n {\n \"question_id\": \"42389\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42390\",\n \"answer\": \"Bo\"\n },\n {\n \"question_id\": \"42391\",\n \"answer\": \"West Africa\"\n },\n {\n \"question_id\": \"42392\",\n \"answer\": \"Freetown\"\n },\n {\n \"question_id\": \"42393\",\n \"answer\": \"1,050,301\"\n },\n {\n \"question_id\": \"42394\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42395\",\n \"answer\": \"the Atlantic Ocean\"\n },\n {\n \"question_id\": \"42396\",\n \"answer\": \"a tropical climate\"\n },\n {\n \"question_id\": \"42397\",\n \"answer\": \"200,354\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John H.Johnson was born in a family in Arkansas City in 1918.His father died in an accident when John was six.He was reaching high school age, but his hometown offered no high schools for the blacks. \n\nFortunately he has a strong-willed and caring mother.John remembers that his mother told him many times, \"Son, you can be anything you really want to be if you just believe.\" She told him not to be dependent on others, including his mother.\"You have to earn success\", said she, \"all the people who work hard don't succeed, but the only people who do succeed are those who work hard.\" \n\nThese words came from a woman with less than a third grade education.She also knew that believing and working hard don't mean everything.So she worked hard as a cook for two years to save enough to take her son to Chicago. \n\nChicago in 1933 was not the Promised Land that black southerners were looking for.John's mother could not find work.But here John could go to school, and learned the power of words--as an editor of a newspaper.His wish was to publish a magazine for the blacks. \n\nWhile others discouraged him, John's mother offered him more words to live by: \" _ .\" She also let him sell her furniture to get the 500 dollars he needed to start the Negro magazine. \n\nIt's natural that difficulties and failures followed John closely until he became very successful.He always keeps his mother's words in mind.\"Son, failure is not in your dictionary.\" Now John H.Johnson is one of the 400 richest people in America--worth 150 million dollars.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84300\": \"In what year was John H. Johnson born?\"\n },\n {\n \"84301\": \"Where?\"\n },\n {\n \"84302\": \"How was her dad died?\"\n },\n {\n \"84303\": \"What did her mother told him many times?\"\n },\n {\n \"84304\": \"What was the education of her mom?\"\n },\n {\n \"84305\": \"What was the occupation of her?\"\n },\n {\n \"84306\": \"How long was she employed as a cook?\"\n },\n {\n \"84307\": \"Where did she wanted to taker Her?\"\n },\n {\n \"84308\": \"When did they reached their?\"\n },\n {\n \"84309\": \"Was it a nice mover for her mom?\"\n },\n {\n \"84310\": \"Why?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"84300\",\n \"answer\": \"1918\"\n },\n {\n \"question_id\": \"84301\",\n \"answer\": \"Arkansas City\"\n },\n {\n \"question_id\": \"84302\",\n \"answer\": \"six\"\n },\n {\n \"question_id\": \"84303\",\n \"answer\": \", \\\"Son, you can be anything you really want to be if you just believe.\\\"\"\n },\n {\n \"question_id\": \"84304\",\n \"answer\": \"third grade\"\n },\n {\n \"question_id\": \"84305\",\n \"answer\": \"cook\"\n },\n {\n \"question_id\": \"84306\",\n \"answer\": \"two years\"\n },\n {\n \"question_id\": \"84307\",\n \"answer\": \"Chicago.\"\n },\n {\n \"question_id\": \"84308\",\n \"answer\": \"1933\"\n },\n {\n \"question_id\": \"84309\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84310\",\n \"answer\": \"She couldn't find work\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- When Sadegh Shahi heard reports about a SWAT team armed to the teeth storming onto a Sunwing Airlines flight to arrest a passenger, he thought to himself, \"it's probably my son.\" \n\nThe father's intuition apparently was correct. \n\nAli Shahi was arrested Friday by at least a half-dozen heavily armed authorities who stormed aboard an airplane looking for him at Toronto's Pearson International Airport. \n\nJarring cell phone video of the episode was captured by fellow passengers. \n\nEarlier that morning -- about 45 minutes into flight 772 from Toronto to Panama City -- the 25-year-old Canadian citizen made a \"direct threat against the aircraft,\" according to Sunwing spokeswoman Janine Chapman. Witnesses told Canada's CTV news that Shahi said he wanted to bomb Canada. \n\nThe Boeing 737 -- which at that point was high above West Virginia -- was escorted back to Toronto by two U.S. fighter jets that were on an aerial training drill nearby, NORAD spokeswoman Capt. Jennifer Stadnyk told CNN. \n\nThe elder Shahi told CNN that Ali is not a violent person and did not mean what he said. He said his son is mentally ill, and has never gotten the support he's needed. \n\n\"Ali thinks life is a game,\" he said. \"We've called the cops 24 times in the past year on him. We've begged police for help, but they never do anything. They always send him back home.\" \n\nShahi said his son is a friendless, unemployed gambling addict who has suffered from depression and eating disorders for a decade. \"In high school, he was fat,\" he said. \"He was bullied until he became anorexic.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92548\": \"Who's son was arrested?\"\n },\n {\n \"92549\": \"What was his name?\"\n },\n {\n \"92550\": \"When was this?\"\n },\n {\n \"92551\": \"How many people came looking for him?\"\n },\n {\n \"92552\": \"Where did this take place?\"\n },\n {\n \"92553\": \"At which location?\"\n },\n {\n \"92554\": \"Were there any recordings?\"\n },\n {\n \"92555\": \"What were they?\"\n },\n {\n \"92556\": \"By who?\"\n },\n {\n \"92557\": \"How old is the son?\"\n },\n {\n \"92558\": \"What caused him to be arrested?\"\n },\n {\n \"92559\": \"Who did people tell this to?\"\n },\n {\n \"92560\": \"Who helped the plane fly back?\"\n },\n {\n \"92561\": \"What were they doing before that?\"\n },\n {\n \"92562\": \"Where?\"\n },\n {\n \"92563\": \"Where were they flying over at the time?\"\n },\n {\n \"92564\": \"What did his father say about him?\"\n },\n {\n \"92565\": \"How many times have they phoned the police on him?\"\n },\n {\n \"92566\": \"Was he skinny in high school?\"\n },\n {\n \"92567\": \"Does he have friends?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92548\",\n \"answer\": \"Sadegh Shah\"\n },\n {\n \"question_id\": \"92549\",\n \"answer\": \"Ali Shahi\"\n },\n {\n \"question_id\": \"92550\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"92551\",\n \"answer\": \"A SWAT team\"\n },\n {\n \"question_id\": \"92552\",\n \"answer\": \"Toronto\"\n },\n {\n \"question_id\": \"92553\",\n \"answer\": \"Pearson International Airport.\"\n },\n {\n \"question_id\": \"92554\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92555\",\n \"answer\": \"cell phone video\"\n },\n {\n \"question_id\": \"92556\",\n \"answer\": \"Fellow passengers.\"\n },\n {\n \"question_id\": \"92557\",\n \"answer\": \"25\"\n },\n {\n \"question_id\": \"92558\",\n \"answer\": \"Shahi said he wanted to bomb Canada.\"\n },\n {\n \"question_id\": \"92559\",\n \"answer\": \"CTV news\"\n },\n {\n \"question_id\": \"92560\",\n \"answer\": \"Two U.S. fighter jets\"\n },\n {\n \"question_id\": \"92561\",\n \"answer\": \"An aerial training drill\"\n },\n {\n \"question_id\": \"92562\",\n \"answer\": \"nearby\"\n },\n {\n \"question_id\": \"92563\",\n \"answer\": \"West Virginia\"\n },\n {\n \"question_id\": \"92564\",\n \"answer\": \"Ali thinks life is a game\"\n },\n {\n \"question_id\": \"92565\",\n \"answer\": \"24 times\"\n },\n {\n \"question_id\": \"92566\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92567\",\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 Jim suffered heart problems. In conversation he expressed little joy and it seemed that his life was drawing to a close. When his heart problems led to operation, Jim went through it successfully, and a full recovery was expected. Within days, however, his heart was not beating properly. Jim was rushed back to operation, but nothing was found to explain the cause of his illness. He died on the operating table on the day before his 48th birthday. Dr. Bruce Smoller, a psychologist , had had many conversations with him, and the more he learned, the stranger he realized Jim's case was. When Jim was a child, his father, a teacher, suffered a heart attack and stayed home to recover. One morning Jim asked his father to look over his homework, promising to come home from school at noon to pick it up. His father agreed, but when Jim returned his father had died. Jim's father was 48. \"I think all his life Jim believed he killed his father,\" Dr. Smoller says. \"He felt that if he had not asked him to look at his homework, his father would have lived. Jim had been troubled by the idea. The operation was the trial he had expected for forty years. \" Smoller believes that Jim willed himself not to live to the age of 48. Jim's case shows the powerful role that attitude plays in physical health, and that childhood experiences produce far-reaching effect on the health of grown-ups. Although most cases are less direct than Jim's, studies show that childhood events, besides genes, may well cause such midlife diseases as cancer, heart disease and mental illness.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"795\": \"What are midlife diseases?\"\n },\n {\n \"796\": \"How old was Jim when his father died?\"\n },\n {\n \"797\": \"What did he his dad do for a living?\"\n },\n {\n \"798\": \"What did the son need help with?\"\n },\n {\n \"799\": \"Did he believe that it killed his dad?\"\n },\n {\n \"800\": \"What happened when he was 47?\"\n },\n {\n \"801\": \"Was he expected to survive the surgery?\"\n },\n {\n \"802\": \"Who analyzed Jim?\"\n },\n {\n \"803\": \"What does he do?\"\n },\n {\n \"804\": \"Did Jim & Smoller talk much?\"\n },\n {\n \"805\": \"What effects the health of adults?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"795\",\n \"answer\": \"Cancer, heart disease and mental illness.\"\n },\n {\n \"question_id\": \"796\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"797\",\n \"answer\": \"He was a teacher,\"\n },\n {\n \"question_id\": \"798\",\n \"answer\": \"his homework\"\n },\n {\n \"question_id\": \"799\",\n \"answer\": \"Dr. Smoller thiought so.\"\n },\n {\n \"question_id\": \"800\",\n \"answer\": \"He died on the operating table.\"\n },\n {\n \"question_id\": \"801\",\n \"answer\": \"a full recovery was expected for the first surgery.\"\n },\n {\n \"question_id\": \"802\",\n \"answer\": \"Dr. Bruce Smoller\"\n },\n {\n \"question_id\": \"803\",\n \"answer\": \"he is a psychologist\"\n },\n {\n \"question_id\": \"804\",\n \"answer\": \"They had had many conversations\"\n },\n {\n \"question_id\": \"805\",\n \"answer\": \"Attitude.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Soon after the defeat of the Spanish Armada in 1588, London merchants presented a petition to Queen Elizabeth I for permission to sail to the Indian Ocean. The permission was granted, and despite the defeat of the English Armada in 1589, on 10 April 1591 three ships sailed from Torbay around the Cape of Good Hope to the Arabian Sea on one of the earliest English overseas Indian expeditions. One of them, Edward Bonventure, then sailed around Cape Comorin and on to the Malay Peninsula and subsequently returned to England in 1594. \n\nThis time they succeeded, and on 31 December 1600, the Queen granted a Royal Charter to \"George, Earl of Cumberland, and 215 Knights, Aldermen, and Burgesses\" under the name, Governor and Company of Merchants of London trading with the East Indies. For a period of fifteen years the charter awarded the newly formed company a monopoly on trade with all countries east of the Cape of Good Hope and west of the Straits of Magellan. Sir James Lancaster commanded the first East India Company voyage in 1601 and returned in 1603. and in March 1604 Sir Henry Middleton commanded the second voyage. General William Keeling, a captain during the second voyage, led the third voyage from 1607 to 1610.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57168\": \"Who did business people in London bring a petition to?\"\n },\n {\n \"57169\": \"Did the petition involve an ocean?\"\n },\n {\n \"57170\": \"Which one?\"\n },\n {\n \"57171\": \"Did the petition involved sailing?\"\n },\n {\n \"57172\": \"Was the petition approved?\"\n },\n {\n \"57173\": \"How many ships set sail from Torbay?\"\n },\n {\n \"57174\": \"In what year?\"\n },\n {\n \"57175\": \"In what month?\"\n },\n {\n \"57176\": \"On what day of the month?\"\n },\n {\n \"57177\": \"When was the English Armada defeated?\"\n },\n {\n \"57178\": \"Did the ships from Torbay travel around something?\"\n },\n {\n \"57179\": \"What?\"\n },\n {\n \"57180\": \"To where?\"\n },\n {\n \"57181\": \"Who took a trip around Cape Comorin?\"\n },\n {\n \"57182\": \"And what was his next stop?\"\n },\n {\n \"57183\": \"Did he then go back to England?\"\n },\n {\n \"57184\": \"In what year?\"\n },\n {\n \"57185\": \"What year was a Royal Charter given?\"\n },\n {\n \"57186\": \"Who granted it?\"\n },\n {\n \"57187\": \"Who was in charge of the first trip of East India Company?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57168\",\n \"answer\": \"Queen Elizabeth I\"\n },\n {\n \"question_id\": \"57169\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57170\",\n \"answer\": \"the Indian Ocean\"\n },\n {\n \"question_id\": \"57171\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57172\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57173\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"57174\",\n \"answer\": \"1591\"\n },\n {\n \"question_id\": \"57175\",\n \"answer\": \"April\"\n },\n {\n \"question_id\": \"57176\",\n \"answer\": \"the tenth\"\n },\n {\n \"question_id\": \"57177\",\n \"answer\": \"1589\"\n },\n {\n \"question_id\": \"57178\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57179\",\n \"answer\": \"the Cape of Good Hope\"\n },\n {\n \"question_id\": \"57180\",\n \"answer\": \"the Arabian Sea\"\n },\n {\n \"question_id\": \"57181\",\n \"answer\": \"Edward Bonventure\"\n },\n {\n \"question_id\": \"57182\",\n \"answer\": \"the Malay Peninsula\"\n },\n {\n \"question_id\": \"57183\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57184\",\n \"answer\": \"1594\"\n },\n {\n \"question_id\": \"57185\",\n \"answer\": \"1600\"\n },\n {\n \"question_id\": \"57186\",\n \"answer\": \"the Queen\"\n },\n {\n \"question_id\": \"57187\",\n \"answer\": \"Sir James Lancaster\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE VICTORIAN AGE (1850-1900) \n\nTHE MODERN PERIOD OF PROGRESS AND UNREST \n\nWhen Victoria became queen, in 1837, English literature seemed to have entered upon a period of lean years, in marked contrast with the poetic fruitfulness of the romantic age which we have just studied. Coleridge, Shelley, Keats, Byron, and Scott had passed away, and it seemed as if there were no writers in England to fill their places. Wordsworth had written, in 1835, \n\nLike clouds that rake, the mountain summits, Or waves that own no curbing hand, How fast has brother followed brother, From sunshine to the sunless land! \n\nIn these lines is reflected the sorrowful spirit of a literary man of the early nineteenth century who remembered the glory that had passed away from the earth. But the leanness of these first years is more apparent than real. Keats and Shelley were dead, it is true, but already there had appeared three disciples of these poets who were destined to be far more widely, read than were their masters. Tennyson had been publishing poetry since 1827, his first poems appearing almost simultaneously with the last work of Byron, Shelley, and Keats; but it was not until 1842, with the publication of his collected poems, in two volumes, that England recognized in him one of her great literary leaders. So also Elizabeth Barrett had been writing since 1820, but not till twenty years later did her poems become deservedly popular; and Browning had published his _Pauline_ in 1833, but it was not until 1846, when he published the last of the series called _Bells and Pomegranates_, that the reading public began to appreciate his power and originality. Moreover, even as romanticism seemed passing away, a group of great prose writers--Dickens, Thackeray, Carlyle, and Ruskin--had already begun to proclaim the literary glory of a new age, which now seems to rank only just below the Elizabethan and the Romantic periods. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43383\": \"Who were the three \\\"disciples\\\"?\"\n },\n {\n \"43384\": \"Can you name something that Browning wrote?\"\n },\n {\n \"43385\": \"What about Tennyson and Barrett?\"\n },\n {\n \"43386\": \"What era did these writers come after?\"\n },\n {\n \"43387\": \"Who lamented the old days?\"\n },\n {\n \"43388\": \"What did he say?\"\n },\n {\n \"43389\": \"What sort of literature did Keats write?\"\n },\n {\n \"43390\": \"Did Tennyson's work coincide with some of those of the old authors?\"\n },\n {\n \"43391\": \"Was he famous already at that point?\"\n },\n {\n \"43392\": \"Were there more well-known poetry writers than prose writers at this point?\"\n },\n {\n \"43393\": \"Who impressed with his innovativeness?\"\n },\n {\n \"43394\": \"What were two of the greatest periods of literature?\"\n },\n {\n \"43395\": \"What was this age named after?\"\n },\n {\n \"43396\": \"Who wrote something about sounds and fruits?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43383\",\n \"answer\": \"Tennyson, Browning, and Barrett\"\n },\n {\n \"question_id\": \"43384\",\n \"answer\": \"Pauline\"\n },\n {\n \"question_id\": \"43385\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"43386\",\n \"answer\": \"Romantic age\"\n },\n {\n \"question_id\": \"43387\",\n \"answer\": \"Wordsworth\"\n },\n {\n \"question_id\": \"43388\",\n \"answer\": \"\\\"Like clouds that rake, the mountain summits, Or waves that own no curbing hand, How fast has brother followed brother, From sunshine to the sunless land!\\\"\"\n },\n {\n \"question_id\": \"43389\",\n \"answer\": \"Poetry\"\n },\n {\n \"question_id\": \"43390\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43391\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43392\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43393\",\n \"answer\": \"Browning\"\n },\n {\n \"question_id\": \"43394\",\n \"answer\": \"Elizabethan and Romantic\"\n },\n {\n \"question_id\": \"43395\",\n \"answer\": \"A queen.\"\n },\n {\n \"question_id\": \"43396\",\n \"answer\": \"Browning\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X \n\nNAT POOLE WANTS TO KNOW \n\nThat evening Dave was on his way to the school library, to consult a certain work of reference, when he ran into another student who suddenly grasped him by the shoulder. It was rather dark where the pair confronted each other, and for the instant our hero did not recognize the fellow. \n\n\"What do you want?\" \n\n\"I want to speak to you for a minute, Dave Porter,\" said the other, in a voice that trembled a trifle. \n\n\"Oh, it's you, Nat,\" answered Dave, as he recognized the son of the Crumville money-lender. \"What do you want?\" He rather imagined that the youth wished to pick another quarrel with him. \n\n\"I--I want to talk in private with you,\" returned Nat, and looked around, to see if anybody else was near. \n\n\"What about?\" \n\n\"You were out walking this afternoon and met that wild man, so I heard.\" \n\n\"That is true.\" \n\n\"You tried to catch him, didn't you?\" \n\n\"Yes, Roger Morr, Buster Beggs, Gus Plum, and I did our best to collar him, but he was too fast for us. He ran down to the river, got into a rowboat, and rowed away.\" \n\n\"So I heard. And I heard something else,\" continued the boy from Crumville. \"When you called to the man to stop he answered back, didn't he?\" \n\n\"Yes.\" \n\n\"Will you please tell me what he said?\" And Nat's voice had an eager ring in it. \n\n\"He told us to beware and go back, or we'd get into trouble.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39657\": \"What is the name off the chapter?\"\n },\n {\n \"39658\": \"What time of day is it?\"\n },\n {\n \"39659\": \"Where is Dave headed?\"\n },\n {\n \"39660\": \"To do what?\"\n },\n {\n \"39661\": \"What happened on his way there?\"\n },\n {\n \"39662\": \"Did he recognize the student instantly?\"\n },\n {\n \"39663\": \"What does Dave say to the person?\"\n },\n {\n \"39664\": \"Does the person respond angrily?\"\n },\n {\n \"39665\": \"Who's Nat's dad?\"\n },\n {\n \"39666\": \"Who Doea Nat ask Dave about?\"\n },\n {\n \"39667\": \"How many people were with Dave when he tried to catch the man?\"\n },\n {\n \"39668\": \"How did the man get away?\"\n },\n {\n \"39669\": \"Did Dave address the man?\"\n },\n {\n \"39670\": \"Did the man answer?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39657\",\n \"answer\": \"CHAPTER X\"\n },\n {\n \"question_id\": \"39658\",\n \"answer\": \"Evening\"\n },\n {\n \"question_id\": \"39659\",\n \"answer\": \"The school library\"\n },\n {\n \"question_id\": \"39660\",\n \"answer\": \"To consult a certain work of reference\"\n },\n {\n \"question_id\": \"39661\",\n \"answer\": \"He ran into another student\"\n },\n {\n \"question_id\": \"39662\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"39663\",\n \"answer\": \"He says \\\"Oh, it's you, Nat\\\"\"\n },\n {\n \"question_id\": \"39664\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"39665\",\n \"answer\": \"A money-lender.\"\n },\n {\n \"question_id\": \"39666\",\n \"answer\": \"Catching him.\"\n },\n {\n \"question_id\": \"39667\",\n \"answer\": \"Three people.\"\n },\n {\n \"question_id\": \"39668\",\n \"answer\": \"By rowboat.\"\n },\n {\n \"question_id\": \"39669\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"39670\",\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 Martin was returning to work in his London office after spending two weeks with his brother in New York.He was coming back with a heavy heart.It was not just that it was the end of a wonderful holiday; it was not just that he invariably suffered badly from jet lag ; it was that Monday mornings always began with a team meeting and,over the months,he had grown to hate them. \n\nMartin was aware that colleagues approached these meetings with hidden agenda ; they indulged in game playing; and he knew that people were not being honest and open.The meetings themselves were bad enough-there was all the moaning afterwards at the meeting like\"I could have improved on that idea,but I wasn't going to say\". \n\nAs this morning's meeting began,Martin prepared himself for the usual dullness and boredom.But,as the meeting progressed,he became aware of a strange background noise.At first,he thought that he was still hearing the engine noise from the aircraft that had brought him back to London.But,as he concentrated on the noise,it became a little clearer. \n\nHe realized,to his amazement,that he could actually hear what they were thinking at the same time as they were speaking.What surprised him,even more than the acquisition of this strange power,was that he discovered that what people were saying was not really what they were thinking.They were not making clear their reservations.They were not supporting views which they thought might be popular.They were not contributing their new insights.They were not volunteering their new ideas. \n\nMartin found it impossible not to respond to his new knowledge.So he started to make gentle interventions,based more on what he could hear his colleagues thinking than on what he could hear them saying.\"So,John,are you really saying...\"\"Susan,do you really think that?\"\"Tom,have you got an idea on how we could take this forward?\"They looked at him,puzzled.In truth,he felt rather proud of his newly-acquired talent. \n\nAs the meeting progressed,it was clear to him that each member of the meeting was learning how to hear the thoughts of the others.The game playing started to fall away; people started to speak more directly; views became better understood; the atmosphere became more open and trusting. \n\nThe meeting ended.As people left the room,Martin found that he could still hear what they were thinking.\"That was the best meeting we've ever had.\"\"All meetings should be like that.\"\"In future,I'm going to say what I think\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7303\": \"What was wrong with Mondays for Martin?\"\n },\n {\n \"7304\": \"Was it dull this Monday?\"\n },\n {\n \"7305\": \"What did he notice that morning?\"\n },\n {\n \"7306\": \"Is that what he thought at first?\"\n },\n {\n \"7307\": \"What did he thinkg at first?\"\n },\n {\n \"7308\": \"At first were people saying what they thought?\"\n },\n {\n \"7309\": \"Did people usually feel good about the meetings?\"\n },\n {\n \"7310\": \"When Martin started to ask questions what happened?\"\n },\n {\n \"7311\": \"When the meeting was over were people happy with it?\"\n },\n {\n \"7312\": \"What was their plan for future meetings?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7303\",\n \"answer\": \"They started with a team meeting\"\n },\n {\n \"question_id\": \"7304\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7305\",\n \"answer\": \"He could hear what everyone was thinking.\"\n },\n {\n \"question_id\": \"7306\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7307\",\n \"answer\": \"engine noise\"\n },\n {\n \"question_id\": \"7308\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7309\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7310\",\n \"answer\": \"people started to speak more directly\"\n },\n {\n \"question_id\": \"7311\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7312\",\n \"answer\": \"to say what they thought\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Volleyball has become a worldwide sport that is popular with all age groups, but when did this fun sport start? The history of volleyball dates back to 1895 when William G.Morgan met a Canadian James Naismith, inventor of basketball and was influenced by him and basketball.Then he wanted to invent a new game that was fit for middle-aged men. \n\nMorgan enjoyed the game of basketball, but soon he realized that it was too fast paced for some of the older men.So, he decided to invent a game that was still played on a court , but the players were not required to run up and down--he created the game of \"mintonette.\" Volleyball history shows that the original game of mintonette was played on a full court with a net in the middle.Two teams tossed the ball back and forth over the net, similar to the game of badminton.In order to cut down the equipment costs, the players played the ball with their hands. \n\nThe game quickly became popular, and everyone wanted to learn how to play volleyball.It quickly spread to other areas, across the United States, and even to other countries.Several changes were made to the game. \n\nThen specific volleyball rules were set into place.Some of the rules of volleyball included the court size, number of players, and number of hits per team.The rules also stated that players must rotate around the court so that everyone had a turn to serve the ball.Also, a standard volleyball size and shape were decided within a few years.The rules continued to change and adjust throughout the history of volleyball, until the game became what we have today. \n\nEven though volleyball history says that the game was originally created for middle-aged men, the game has become so popular among all kinds of people.Today there are many different kinds of competitive volleyball teams: high school volleyball, college volleyball, women volleyball, men, children, mixed teams, etc.There is an endless amount of possibilities with this game because it is easy to learn, many people can play together, and it can by played indoors or outside.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64649\": \"What was volleyball originally called?\"\n },\n {\n \"64650\": \"What other game was it very similar to?\"\n },\n {\n \"64651\": \"What was the main difference between it and the game it became?\"\n },\n {\n \"64652\": \"Did it stay in its original country?\"\n },\n {\n \"64653\": \"How many countries did it spread to?\"\n },\n {\n \"64654\": \"Who was it created for?\"\n },\n {\n \"64655\": \"Did it remain popular for that age group?\"\n },\n {\n \"64656\": \"When did the rules evolve to what we consider as volleyball today?\"\n },\n {\n \"64657\": \"Do some schools have volleyball teams?\"\n },\n {\n \"64658\": \"What sport inspired volleyball?\"\n },\n {\n \"64659\": \"Who created that sport?\"\n },\n {\n \"64660\": \"What was his nationality?\"\n },\n {\n \"64661\": \"Who created volleyball?\"\n },\n {\n \"64662\": \"What was his nationality?\"\n },\n {\n \"64663\": \"When did he meet Naismith?\"\n },\n {\n \"64664\": \"What did they talk about?\"\n },\n {\n \"64665\": \"What was one of his primary objective in making the game?\"\n },\n {\n \"64666\": \"Is it difficult to start playing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"64649\",\n \"answer\": \"Mintonette\"\n },\n {\n \"question_id\": \"64650\",\n \"answer\": \"Badminton\"\n },\n {\n \"question_id\": \"64651\",\n \"answer\": \"They tossed the ball instead of hitting it.\"\n },\n {\n \"question_id\": \"64652\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"64653\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64654\",\n \"answer\": \"Middle aged men.\"\n },\n {\n \"question_id\": \"64655\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64656\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64657\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64658\",\n \"answer\": \"Basketball\"\n },\n {\n \"question_id\": \"64659\",\n \"answer\": \"James Naismith\"\n },\n {\n \"question_id\": \"64660\",\n \"answer\": \"Canadian\"\n },\n {\n \"question_id\": \"64661\",\n \"answer\": \"William G. Morgan\"\n },\n {\n \"question_id\": \"64662\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64663\",\n \"answer\": \"1895\"\n },\n {\n \"question_id\": \"64664\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"64665\",\n \"answer\": \"Making a game that older men could play.\"\n },\n {\n \"question_id\": \"64666\",\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 Boston (CNN) -- Trying to show a softer, lighter side of accused killer and crime boss James \"Whitey\" Bulger, his defense lawyers have released photos that they say they would expect to show the jury should Bulger decide to testify. \n\nIn response to a CNN question, his lawyers acknowledged, \"yes,\" they have prepared Bulger, 83, to take the stand as they would any other witness. \n\n\"Every criminal defendant has until the last witness is presented on the defense to make a decision as to whether he or she will testify,\" said the lead counsel, J. W. Carney. \n\nBulger, his lawyers say, is calling the shots and will make the decision Friday after the defense reads testimony from one victim's mother and then calls its last two witnesses, an FBI secretary and admitted former hitman John Martorano. \n\nIf Bulger does not testify, closing arguments will likely happen Monday. \n\nBulger offers $822,000 to relatives of two murder victims \n\nThe 20 photos, released late Wednesday, show Bulger smiling and relaxed. Described as an animal lover, he's seen separately with dogs, a goat and a parrot. In one photo he is seen posing in front of the Stanley Cup. In others, he appears smiling with girlfriend Catherine Grieg, who went into hiding with Bulger in 1995 and who was arrested with him 16 years later in 2011 living under an alias in Santa Monica, California. \n\nOne of the men featured in a photo with Bulger was identified as a defrocked, formerly high-ranking official of the Boston archdiocese, Frederick J. Ryan, according to the lawyer for two former Catholic Memorial School students who brought sexual molestation claims against the archdiocese in 2002. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33128\": \"is there a crime boss?\"\n },\n {\n \"33129\": \"is he accused?\"\n },\n {\n \"33130\": \"accused of what?\"\n },\n {\n \"33131\": \"what is his age?\"\n },\n {\n \"33132\": \"does he have a name?\"\n },\n {\n \"33133\": \"what is his name?\"\n },\n {\n \"33134\": \"does he have an attorney?\"\n },\n {\n \"33135\": \"who?\"\n },\n {\n \"33136\": \"are there witnesses?\"\n },\n {\n \"33137\": \"how many?\"\n },\n {\n \"33138\": \"who are they?\"\n },\n {\n \"33139\": \"what is the hitman's name?\"\n },\n {\n \"33140\": \"how many victims are there?\"\n },\n {\n \"33141\": \"what did they receive?\"\n },\n {\n \"33142\": \"from who?\"\n },\n {\n \"33143\": \"what was released?\"\n },\n {\n \"33144\": \"how many?\"\n },\n {\n \"33145\": \"who did they show?\"\n },\n {\n \"33146\": \"what was he doing?\"\n },\n {\n \"33147\": \"is he with anything?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33128\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33129\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33130\",\n \"answer\": \"accused killer\"\n },\n {\n \"question_id\": \"33131\",\n \"answer\": \", 83,\"\n },\n {\n \"question_id\": \"33132\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33133\",\n \"answer\": \"James \\\"Whitey\\\" Bulger,\"\n },\n {\n \"question_id\": \"33134\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33135\",\n \"answer\": \"J. W. Carney.\"\n },\n {\n \"question_id\": \"33136\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33137\",\n \"answer\": \"two witnesses\"\n },\n {\n \"question_id\": \"33138\",\n \"answer\": \"an FBI secretary and admitted former hitman\"\n },\n {\n \"question_id\": \"33139\",\n \"answer\": \"John Martorano.\"\n },\n {\n \"question_id\": \"33140\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"33141\",\n \"answer\": \"$822,000\"\n },\n {\n \"question_id\": \"33142\",\n \"answer\": \"Bulger\"\n },\n {\n \"question_id\": \"33143\",\n \"answer\": \"photos\"\n },\n {\n \"question_id\": \"33144\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"33145\",\n \"answer\": \"Bulger\"\n },\n {\n \"question_id\": \"33146\",\n \"answer\": \"smiling and relaxed.\"\n },\n {\n \"question_id\": \"33147\",\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 fate of three U.S. citizens who have disappeared or been imprisoned in Iran was discussed during Friday's historic conversation between the two nations' presidents, a senior U.S. administration official said. \n\nU.S. President Barack Obama, during his phone call with Iranian President Hassan Rouhani, \"noted our concern about three American citizens who have been held within Iran -- Robert Levinson, Saeed Abedini, and Amir Hekmati -- and noted our interest in seeing those Americans reunited with their families,\" the official said. \n\nTwo of the Americans have been tried and convicted in Iranian courts, and the whereabouts of another have been unknown for more than six years. \n\nHere are the most recent developments in the stories of the detained U.S. citizens: \n\nBob LevinsonThe family of Levinson, a retired FBI agent, has been anxiously waiting for news, any news, about his fate since he vanished during a business trip to Iran in March 2007. \n\nWhen Rouhani, Iran's new president, arrived in New York, Levinson's wife and children were watching closely for a sign that efforts to find Levinson might move forward. \n\nDuring an exclusive interview with CNN's Christiane Amanpour, Rouhani offered little when asked what he can tell Levinson's family. \n\n\"We don't know where he is, who he is,\" Rouhani said. \"He is an American who has disappeared. We have no news of him.\" \n\nYet, like former President Mahmoud Ahmadinejad, Rouhani spoke of cooperation. \n\n\"We are willing to help, and all the intelligence services in the region can come together to gather information about him to find his whereabouts,\" Rouhani told Amanpour. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77611\": \"Who is the President of Iran?\"\n },\n {\n \"77612\": \"Who spoke with him?\"\n },\n {\n \"77613\": \"regarding?\"\n },\n {\n \"77614\": \"Has anyone been convicted?\"\n },\n {\n \"77615\": \"How many?\"\n },\n {\n \"77616\": \"Where is the other one?\"\n },\n {\n \"77617\": \"When did Bob Levinson disappear?\"\n },\n {\n \"77618\": \"What was his occupation?\"\n },\n {\n \"77619\": \"Is he still working?\"\n },\n {\n \"77620\": \"Does he have family?\"\n },\n {\n \"77621\": \"Who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77611\",\n \"answer\": \"Hassan Rouhani\"\n },\n {\n \"question_id\": \"77612\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"77613\",\n \"answer\": \"concern about three American citizens\"\n },\n {\n \"question_id\": \"77614\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77615\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"77616\",\n \"answer\": \"it is unknown\"\n },\n {\n \"question_id\": \"77617\",\n \"answer\": \"March 2007\"\n },\n {\n \"question_id\": \"77618\",\n \"answer\": \"FBI agent\"\n },\n {\n \"question_id\": \"77619\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77620\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77621\",\n \"answer\": \"wife and children\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTWO GIRLS AND A CALF \n\nHaving gone to the kitchen to fill the bottle with milk, which she had set to warm, Miriam accompanied her guest to the barn. As she walked by the side of Dora, with the bottle in one hand and the other holding up her voluminous silk robe, it was well for her peace of mind that no stately coachman sat upon a box and looked at her. \n\nIn a corner of the lower floor of the barn they found the calf, lying upon a bed of hay, and covered by a large piece of mosquito netting, which Miriam had fastened above and around him. Dora laughed as she saw this. \n\n\"It isn't every calf,\" she said, \"that sleeps so luxuriously.\" \n\n\"The flies worried the poor thing dreadfully,\" said Miriam, \"but I take it off when I feed it.\" \n\nShe proceeded to remove the netting, but she had scarcely done so, when she gave an exclamation that was almost a scream. \n\n\"Oh, dear, oh, dear!\" she cried; \"I believe it is dead,\" and down she sat upon the floor close to the calf, which lay motionless, with its head and neck extended. Down also sat Dora. She did not need to consider the hay-strewn floor and her clothes; for although she wore a very tasteful and becoming costume, it was one she had selected with reference to barn explorations, field strolls, and anything rural and dusty which any one else might be doing, or might propose. No one could tell what dusty and delightful occupation might turn up during an afternoon at Cobhurst. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59309\": \"Does every calf sleep luxuriously?\"\n },\n {\n \"59310\": \"Who went to the kitchen?\"\n },\n {\n \"59311\": \"Why did she go?\"\n },\n {\n \"59312\": \"With what?\"\n },\n {\n \"59313\": \"Was it warm or cold?\"\n },\n {\n \"59314\": \"Who's side was she by?\"\n },\n {\n \"59315\": \"What was she holding in one hand?\"\n },\n {\n \"59316\": \"And in the other hand?\"\n },\n {\n \"59317\": \"What was the calf doing?\"\n },\n {\n \"59318\": \"On what?\"\n },\n {\n \"59319\": \"What was covering it?\"\n },\n {\n \"59320\": \"Was it large or small?\"\n },\n {\n \"59321\": \"Why was the netting used?\"\n },\n {\n \"59322\": \"Does the netting ever get taken off?\"\n },\n {\n \"59323\": \"For what?\"\n },\n {\n \"59324\": \"Was the calf dead?\"\n },\n {\n \"59325\": \"What body parts were extended?\"\n },\n {\n \"59326\": \"Who also sat down?\"\n },\n {\n \"59327\": \"What was she wearing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59309\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59310\",\n \"answer\": \"Miriam\"\n },\n {\n \"question_id\": \"59311\",\n \"answer\": \"to fill the bottle\"\n },\n {\n \"question_id\": \"59312\",\n \"answer\": \"milk\"\n },\n {\n \"question_id\": \"59313\",\n \"answer\": \"she warmed it\"\n },\n {\n \"question_id\": \"59314\",\n \"answer\": \"Dora\"\n },\n {\n \"question_id\": \"59315\",\n \"answer\": \"the bottle\"\n },\n {\n \"question_id\": \"59316\",\n \"answer\": \"her robe\"\n },\n {\n \"question_id\": \"59317\",\n \"answer\": \"lying down\"\n },\n {\n \"question_id\": \"59318\",\n \"answer\": \"a bed of hay\"\n },\n {\n \"question_id\": \"59319\",\n \"answer\": \"mosquito netting\"\n },\n {\n \"question_id\": \"59320\",\n \"answer\": \"large\"\n },\n {\n \"question_id\": \"59321\",\n \"answer\": \"The flies worried it\"\n },\n {\n \"question_id\": \"59322\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59323\",\n \"answer\": \"when it is fed\"\n },\n {\n \"question_id\": \"59324\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59325\",\n \"answer\": \"its head and neck\"\n },\n {\n \"question_id\": \"59326\",\n \"answer\": \"Dora\"\n },\n {\n \"question_id\": \"59327\",\n \"answer\": \"a very tasteful and becoming costume\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n For 13-year-old Brooke Martin, seeing her golden dog Kayla has become much easier, even when she's not at home. Martin made a kind of machine--iCPooch. It allows pet owners to video chat with their pets and sends food from other places.2-1-c-n-j-y When a dog owner puts the iCPooch app on a phone, he or she can connect to the iCPooch machine at home and start talking. The owner's image and voice will be on the screen. When the owner pushes a button on the iCPooch app, the machine will give the dog some food that has been stored inside the box. How could Martin come up with the idea? The idea came to the Washington girl when she took a business class last year. That led her to think about helping her pet Kayla. Kayla always looked sad when she was left alone at home.\"I wanted to know how you could talk to your dog if you were not at home. And what if you were able to give them a treat while you were away?\" Martin explained her idea. Now Martin and her family have set up a company. They've had investments from businessmen and asked a factory to make the product. They expected to sell 8,000 products by the end of 2015. Martin is satisfied with her success. \"A year ago, I never thought that I would be able to start a business, or even having an idea for a business,\" she said. \"I've learned that we are supposed to hold on to your dreams.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2412\": \"Who is the person in the story?\"\n },\n {\n \"2413\": \"How old is Brooke?\"\n },\n {\n \"2414\": \"Who else is featured in the story?\"\n },\n {\n \"2415\": \"Who is that?\"\n },\n {\n \"2416\": \"Is there anyone else in the story?\"\n },\n {\n \"2417\": \"Who?\"\n },\n {\n \"2418\": \"How did Brooke keep up with Kayla?\"\n },\n {\n \"2419\": \"What is that?\"\n },\n {\n \"2420\": \"Who made it?\"\n },\n {\n \"2421\": \"What else does it do?\"\n },\n {\n \"2422\": \"How does she communicate with it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2412\",\n \"answer\": \"Brooke\"\n },\n {\n \"question_id\": \"2413\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"2414\",\n \"answer\": \"Kayla\"\n },\n {\n \"question_id\": \"2415\",\n \"answer\": \"her dog\"\n },\n {\n \"question_id\": \"2416\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2417\",\n \"answer\": \"Brooke's family\"\n },\n {\n \"question_id\": \"2418\",\n \"answer\": \"iCPooch\"\n },\n {\n \"question_id\": \"2419\",\n \"answer\": \"A machine she made to communicate with Kayla\"\n },\n {\n \"question_id\": \"2420\",\n \"answer\": \"Brooke\"\n },\n {\n \"question_id\": \"2421\",\n \"answer\": \"feeds the dog\"\n },\n {\n \"question_id\": \"2422\",\n \"answer\": \"with a phone\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- The Internet was made for moments like these. \n\nClint Eastwood and his empty chair didn't so much detract from Mitt Romney's big moment at the last night of the Republican National Convention, as much as they became breakout stars in their own right. Romney and Marco Rubio still had their moments. Clint retained his Hollywood icon status. And two new stars were born, Invisible Obama and Clint's Chair. \n\nThose weren't the only OMG moment during the final night of the RNC. \n\n1. More crying \n\n\"Is crying becoming a 'thing' for Republicans?\" asked @libgrrrl Thursday night. \n\nWe couldn't have said it better ourselves. \n\nOne of Eastwood's most tweeted moments was his reference to crying when Obama was elected. \n\n\"I just thought this is great. Everybody's crying, Oprah was crying. I was even crying,\" he said. \n\nU.S. Olympian Mike Eruzione got choked up speaking about carrying the World Trade Center flag during the 2002 Opening Ceremony, but it was Romney talking about single rose his father would leave by his mother's bedside every day that had most eyes welling up, including Romney's. \n\n\"Mitt's tearing up talking about his parents! Y'all I can't even deal with all this crying tonight,\" tweeted @rsethib \n\nAnd then there were the weepers in the audience, some of whom managed to hold back tears long enough to tweet, like @ShoshanaWeissmann, \"Loving this!!!!!! Crying a little and SO inspired!!!!!!\" \n\n2. Homocon \n\nCNN reporter Jen Christensen spent time with members of the Log Cabin Republicans who were invited to participate in the convention platform for the first time this year. The LGBT group GOProud threw a Tuesday night party called \"Homocon,\" that included go-go dancers and a velvet rope. However inclusion did not = acceptance. But let's focus on the lighter moments shall we? \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58057\": \"Who had an empty chair?\"\n },\n {\n \"58058\": \"How many new stars were born?\"\n },\n {\n \"58059\": \"What was the 'thing' for Republicans?\"\n },\n {\n \"58060\": \"What was Eastwood's most tweeted moment?\"\n },\n {\n \"58061\": \"Did he think that was okay?\"\n },\n {\n \"58062\": \"What did the Olympic athlete speak about?\"\n },\n {\n \"58063\": \"And Romney?\"\n },\n {\n \"58064\": \"Who did the CNN journalist spend time with?\"\n },\n {\n \"58065\": \"What was the name of the celebration GOPround gave?\"\n },\n {\n \"58066\": \"What night was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58057\",\n \"answer\": \"Clint Eastwood\"\n },\n {\n \"question_id\": \"58058\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"58059\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"58060\",\n \"answer\": \"his reference to crying when Obama was elected\"\n },\n {\n \"question_id\": \"58061\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58062\",\n \"answer\": \"carrying the World Trade Center flag during the 2002 Opening Ceremony\"\n },\n {\n \"question_id\": \"58063\",\n \"answer\": \"a single rose his father would leave by his mother's bedside every day\"\n },\n {\n \"question_id\": \"58064\",\n \"answer\": \"She spent time with members of the Log Cabin Republicans\"\n },\n {\n \"question_id\": \"58065\",\n \"answer\": \"It was Homocon\"\n },\n {\n \"question_id\": \"58066\",\n \"answer\": \"It was Tuesday night\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XX \n\nFISHING AND HUNTING \n\nThe remainder of the week went by, and the boys and girls amused themselves as best they could. During that time, Mr. Endicott received a visit from the sheriff of the county, and Dave and his chums were called upon to tell all they could about the missing horses. Then, after some whispered talk between the county official and the ranch owner, the lads were requested to describe the man who had been seen on the trail in company with Link Merwell. \n\n\"I really think the fellow was Andy Andrews,\" said the sheriff. \"But if so, he had a big nerve to show himself in these parts.\" \n\n\"Didn't you ask Link about the man?\" asked Dave. \n\n\"Yes. He says the fellow was a stranger to him, and they were just riding together for company. He says they were together about half an hour before he met you on the trail, and that the fellow left him about a quarter of an hour later and headed in the direction of the railroad station. He said the fellow didn't give any name, but said he was looking up some ranch properties for some Chicago capitalists.\" \n\nThis was all the sheriff could tell, and on that the matter, for the time being, rested. Fortunately, Star Ranch possessed a good number of horses, so none of the young folks were deprived of mounts. But Belle mourned the loss of her favorite steed, to which she had become greatly attached. \n\n\"I don't care so much for the others, but I do hope papa gets back Lady Alice,\" she said, dolefully. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21908\": \"who visited Mr. Endicott?\"\n },\n {\n \"21909\": \"what did the boys have to tell him about?\"\n },\n {\n \"21910\": \"where they asked to describe the suspect?\"\n },\n {\n \"21911\": \"did the Sheriff have a suspicion of who they were describing?\"\n },\n {\n \"21912\": \"who did he think it was?\"\n },\n {\n \"21913\": \"who had been riding with the suspect?\"\n },\n {\n \"21914\": \"did he know who the man was?\"\n },\n {\n \"21915\": \"where had the man gone after they parted ways?\"\n },\n {\n \"21916\": \"what was he doing in the area?\"\n },\n {\n \"21917\": \"for whom?\"\n },\n {\n \"21918\": \"from where?\"\n },\n {\n \"21919\": \"who was saddest about the missing horses?\"\n },\n {\n \"21920\": \"why?\"\n },\n {\n \"21921\": \"to what?\"\n },\n {\n \"21922\": \"what was the horse's name?\"\n },\n {\n \"21923\": \"Did the thieves take all of the horses?\"\n },\n {\n \"21924\": \"did they have enough left for all of the kids to ride?\"\n },\n {\n \"21925\": \"what was the name of the ranch?\"\n },\n {\n \"21926\": \"Did Link get the name of the man he had been riding with?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21908\",\n \"answer\": \"the sheriff\"\n },\n {\n \"question_id\": \"21909\",\n \"answer\": \"the missing horses\"\n },\n {\n \"question_id\": \"21910\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21911\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21912\",\n \"answer\": \"Andy Andrews\"\n },\n {\n \"question_id\": \"21913\",\n \"answer\": \"Link\"\n },\n {\n \"question_id\": \"21914\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21915\",\n \"answer\": \"in the direction of the railroad station\"\n },\n {\n \"question_id\": \"21916\",\n \"answer\": \"looking up some ranch properties\"\n },\n {\n \"question_id\": \"21917\",\n \"answer\": \"capitalists.\"\n },\n {\n \"question_id\": \"21918\",\n \"answer\": \"Chicago\"\n },\n {\n \"question_id\": \"21919\",\n \"answer\": \"Belle\"\n },\n {\n \"question_id\": \"21920\",\n \"answer\": \"she was attached.\"\n },\n {\n \"question_id\": \"21921\",\n \"answer\": \"her favorite steed\"\n },\n {\n \"question_id\": \"21922\",\n \"answer\": \"Lady Alice\"\n },\n {\n \"question_id\": \"21923\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21924\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21925\",\n \"answer\": \", Star\"\n },\n {\n \"question_id\": \"21926\",\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 \"Today is Mom's birthday, Mosh,\" Nick said. \"Let's make her favorite banana bread and surprise her.\"Nick took out a cookbook. \"I'll read the recipe, and you follow it. Get out a bowl and a spoon while I turn on the oven.\" Nick read from the cookbook. \"First, mash the bananas in the bowl.\" The robot put the bananas into the bowl and was going to mash them with its hands. \"Stop!\" Nick said. \"Let's try this again. Peel the bananas, put them in the bowl, and mash them with the spoon.\" Nick watched when Mosh peeled the bananas and put the peel into the bowl. Again, Nick told Mosh to stop. Then he showed the robot which part of each banana should go into the bowl. Then Nick read, \"Add the eggs. No, wait,\" he said right away. Nick cracked the eggs into the bananas. \"Last, add flour , milk and sugar,\" Nick said. \"Mix everything together. Then pour the batter into the bread pan.\" Mosh followed Nick's orders while Nick read the cookbook. \"I'll put this in the oven,\" Nick picked up the pan. Just then Kelly came into the room. \"What happened in here?\" she felt surprised. Nick answered, \"Mosh and I are making banana bread for Mom's birthday. It is a lot of work, but I think she will be surprised.\" \"If you want it to be a good surprise for Mom,\" Kelly laughed, \"you need to give Mosh one more order. Clean up!\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18672\": \"Who was Mosh?\"\n },\n {\n \"18673\": \"What was the first thing that was supposed to go in the bowl?\"\n },\n {\n \"18674\": \"What was Mosh about to do to them?\"\n },\n {\n \"18675\": \"Who came into the room later?\"\n },\n {\n \"18676\": \"Who was giving Mosh directions?\"\n },\n {\n \"18677\": \"What did he tell him to do with the bananas before putting them in?\"\n },\n {\n \"18678\": \"Where did Mosh put the peels?\"\n },\n {\n \"18679\": \"Was Nick reading from anything?\"\n },\n {\n \"18680\": \"What was it?\"\n },\n {\n \"18681\": \"What came after the bananas?\"\n },\n {\n \"18682\": \"How many other things were added?\"\n },\n {\n \"18683\": \"What were they?\"\n },\n {\n \"18684\": \"What day was today?\"\n },\n {\n \"18685\": \"What were they making for her?\"\n },\n {\n \"18686\": \"Who laughed?\"\n },\n {\n \"18687\": \"What order did she say Nick should give next?\"\n },\n {\n \"18688\": \"Where did they pour the batter into?\"\n },\n {\n \"18689\": \"Was this their mom's favorite?\"\n },\n {\n \"18690\": \"Did someone say the whole thing was much work?\"\n },\n {\n \"18691\": \"How old was their mom?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18672\",\n \"answer\": \"a robot\"\n },\n {\n \"question_id\": \"18673\",\n \"answer\": \"bananas\"\n },\n {\n \"question_id\": \"18674\",\n \"answer\": \"mash them\"\n },\n {\n \"question_id\": \"18675\",\n \"answer\": \"Kelly\"\n },\n {\n \"question_id\": \"18676\",\n \"answer\": \"Nick\"\n },\n {\n \"question_id\": \"18677\",\n \"answer\": \"peel them\"\n },\n {\n \"question_id\": \"18678\",\n \"answer\": \"in the bowl\"\n },\n {\n \"question_id\": \"18679\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18680\",\n \"answer\": \"a cookbook\"\n },\n {\n \"question_id\": \"18681\",\n \"answer\": \"eggs\"\n },\n {\n \"question_id\": \"18682\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"18683\",\n \"answer\": \"flour, milk and sugar\"\n },\n {\n \"question_id\": \"18684\",\n \"answer\": \"Mom's birthday\"\n },\n {\n \"question_id\": \"18685\",\n \"answer\": \"banana bread\"\n },\n {\n \"question_id\": \"18686\",\n \"answer\": \"Kelly\"\n },\n {\n \"question_id\": \"18687\",\n \"answer\": \"clean up\"\n },\n {\n \"question_id\": \"18688\",\n \"answer\": \"the bread pan\"\n },\n {\n \"question_id\": \"18689\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18690\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18691\",\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 I was the typical\"I can't\"child-whatever my mother told or asked me to do was immediately followed by my cry,\"I can't.\"As a result,very few tasks or goals that I set out to achieve were ever completed. One evening,my mother called me into the family room.\"I want you to read this article,\"Mother began.\"It's about Marlo Thomas.She tells how a simple poem that she was forced to learn by her father changed her life*She went from saying'I can't'to'I can'*According to this article,she was able to reorganize her life and her career by learning the principles in the poem.\" I took the small magazine from Mother and looked down at the pages.There was Marlo-my idol. Beside her photo was the poem my mother had spoken of,a simple poem entitled,\"I Can\".\"I want you to memorize that poem,\"Mother said firmly.\"Mama,\" _ .\"I can't learn that poem.It's too long.\" \"It's not too long and you can learn it.1 want you to know it perfectly by this time tomorrow,\"said my mother. Unwillingly,I went back to my bedroom with the magazine.With a heavy heart,I threw myself into the bed and began my task. \"Can't is a word that is the enemy to ambition,\"I began.I repeated the line.I repeated it again and again.\"An enemy ambush to shatter your will...\"I continued the process until I proudly recited the poem the following evening. It has now become my principle.Marlo 1 homas did not know me,but her story forever changed my life. Saying \"I can\" helped me to get through the worst moments of my life: Saying \"I can\" encouraged me to complete things I would have otherwise seen as out of my reach. A simple poem learned at seven is a poem that will support me to seventy-seven,maybe even longer.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59975\": \"Was I always confident that I could do things?\"\n },\n {\n \"59976\": \"Did my mom ask me to read something?\"\n },\n {\n \"59977\": \"What was it?\"\n },\n {\n \"59978\": \"who was the author?\"\n },\n {\n \"59979\": \"How made Marlo learn the poem?\"\n },\n {\n \"59980\": \"What was the name of the poem?\"\n },\n {\n \"59981\": \"Did I think I could learn it?\"\n },\n {\n \"59982\": \"Why not?\"\n },\n {\n \"59983\": \"What hinders ambition?\"\n },\n {\n \"59984\": \"What was my response when my mom asked me to do something?\"\n },\n {\n \"59985\": \"How old was I when I learned the poem?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59975\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59976\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59977\",\n \"answer\": \"an article\"\n },\n {\n \"question_id\": \"59978\",\n \"answer\": \"Marlo Thomas\"\n },\n {\n \"question_id\": \"59979\",\n \"answer\": \"her fathe\"\n },\n {\n \"question_id\": \"59980\",\n \"answer\": \"I Can\"\n },\n {\n \"question_id\": \"59981\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59982\",\n \"answer\": \"too long\"\n },\n {\n \"question_id\": \"59983\",\n \"answer\": \"the word can't\"\n },\n {\n \"question_id\": \"59984\",\n \"answer\": \"I can't\"\n },\n {\n \"question_id\": \"59985\",\n \"answer\": \"seven\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Why Are Pig Farmers Still Using Growth-Promoting Drugs? \n\nIt's one of the most controversial practices in agriculture: feeding small amounts of antibiotics to animals in order to make them grow faster. But what if the drugs don't even work very well? There's some good evidence that they don't, at least in pigs. They used to deliver a boost in growth, but that effect has disappeared in recent years or declined greatly. The reason for this is interesting and even paradoxical. Researchers think the antibiotics used to work by suppressing low-grade infections. In recent years, however, pork producers found other ways to accomplish the same thing through improved hygiene . As a result, the drugs have become largely superfluous -- yet many farmers still use them. \n\nTo understand how this happened, you have to step back in time, says Steve Dritz, a specialist in pig nutrition at Kansas State University. Sixty years ago, when antibiotics were new, \"people started treating animals, and feeding [the antibiotics], and finding that they had increased growth rates and feed efficiencies,\" he says. Nursery-age pigs, for instance, grew 12 to 15 percent faster with antibiotics. The animals also needed less feed to reach full weight. Other studies showed similar results in chickens and cattle. In the 1980s, a new set of studies found similar effects. So the growth-promoting effects of antibiotics became standard practice among meat producers. \n\nFast forward to the 1990s. Dritz was starting his career as a scientist at Kansas State University, and pork production was changing dramatically. \n\nPreviously, pigs were born and raised in one barn or in several barns close together. This meant infections could easily pass from one generation to the next, the way that kids share germs between their friends on the playground and their parents at home. Under the new system, when piglets are weaned, they move to a whole different place. That new site is carefully scrubbed and free of disease. \n\nCraig Rowles, who runs a large swine operation in Carroll, Iowa, shows me one such room. There's not a piglet in sight. \"This room just got completely washed and disinfected, and now it's going to sit here and dry for a while,\" he says. \n\nA whole group of pigs will come in here together, and later they will move out together to yet another site. \"That group of pigs will stay together until they go to market,\" Rowles says. \n\nThe groups are kept strictly separated from each other. If workers move between the groups, they first have to change their boots. \n\nWhen farmers adopted multisite production, it cut down on disease -- and pigs actually grew faster.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61197\": \"Are pig farmers still using drugs?\"\n },\n {\n \"61198\": \"Is Steve Dritz a specialist in anything?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61197\",\n \"answer\": \"Evidence : Why Are Pig Farmers Still Using Growth-Promoting Drugs?\"\n },\n {\n \"question_id\": \"61198\",\n \"answer\": \"Steve Dritz, a specialist in pig nutrition\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n First published in 2001, the book Life of Pi written by Canadian author Yann Martel won the Man Booker Prize and an Asian American Prize for Literature. It is the story of a young boy named Pi who spends 227 days at sea with a small group of animals after disaster strikes their ship and is an account of his journey of survival and hardship. \n\nPiscine \"Pi\" Molitor Patel, on whom Life of Pi is based, is a young boy living in Pondicherry, India, where his father owns a zoo. The story starts when Patel's family decide to move to Canada, along with their zoo animals for their new home. \n\nHowever, because of the bad weather, the ship sinks. Pi along with an orangutan , an injured zebra, a hyena and a Bengal tiger named Richard Parker are the only survivors who take shelter in a small lifeboat. Both the injured zebra and the orangutan are soon killed and eaten by the hyena. The tiger in turn kills and eats the hyena, leaving just the two of them alone on the boat now. \n\nIn an effort to avoid being eaten by Richard Parker, Pi acts himself as the head of the group and remains safe from harm. Since he does not want the tiger to die for fear of going mad by being alone on the boat, he fishes and feeds the two of them in order to stay alive. \n\nThe life of Pi then enters its third stage when their lifeboat washes up on the shores of Mexico and the tiger escapes into a nearby forest leaving Pi alone. After the Mexicans refuse to believe Pi's story, he changes his tale by replacing the animals with his mother, a cook and a sailor and asks the Mexicans which one they prefer. They prefer hearing the first story though they do not believe a word of it. \n\nIn my view, Life of Pi is a must read book for all those who love reading.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62416\": \"What's the name of the book being discussed?\"\n },\n {\n \"62417\": \"Who wrote it?\"\n },\n {\n \"62418\": \"Whois the main character?\"\n },\n {\n \"62419\": \"Who came with Pi and his family when they left Canada?\"\n },\n {\n \"62420\": \"What did they travel on?\"\n },\n {\n \"62421\": \"What happens to it?\"\n },\n {\n \"62422\": \"Does Pi survive?\"\n },\n {\n \"62423\": \"Who else survives?\"\n },\n {\n \"62424\": \"What happens to the oragutan and zebra?\"\n },\n {\n \"62425\": \"What happens to the hyena?\"\n },\n {\n \"62426\": \"By what?\"\n },\n {\n \"62427\": \"What is its name?\"\n },\n {\n \"62428\": \"/who feeds him?\"\n },\n {\n \"62429\": \"With what?\"\n },\n {\n \"62430\": \"Where does Pi end up?\"\n },\n {\n \"62431\": \"And Richard Parker?\"\n },\n {\n \"62432\": \"Do the Mexicans believe Pi?\"\n },\n {\n \"62433\": \"Why did Pi feed Richard Parker?\"\n },\n {\n \"62434\": \"When was the book published?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"62416\",\n \"answer\": \"Life of Pi\"\n },\n {\n \"question_id\": \"62417\",\n \"answer\": \"Yann Martel\"\n },\n {\n \"question_id\": \"62418\",\n \"answer\": \"Pi\"\n },\n {\n \"question_id\": \"62419\",\n \"answer\": \"their zoo animals\"\n },\n {\n \"question_id\": \"62420\",\n \"answer\": \"A ship\"\n },\n {\n \"question_id\": \"62421\",\n \"answer\": \"the ship sinks\"\n },\n {\n \"question_id\": \"62422\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"62423\",\n \"answer\": \"an orangutan , an injured zebra, a hyena and a Bengal tiger\"\n },\n {\n \"question_id\": \"62424\",\n \"answer\": \"Both the injured zebra and the orangutan are soon killed\"\n },\n {\n \"question_id\": \"62425\",\n \"answer\": \"It is eaten\"\n },\n {\n \"question_id\": \"62426\",\n \"answer\": \"The tiger\"\n },\n {\n \"question_id\": \"62427\",\n \"answer\": \"Richard Parker\"\n },\n {\n \"question_id\": \"62428\",\n \"answer\": \"Pi\"\n },\n {\n \"question_id\": \"62429\",\n \"answer\": \"he fishes\"\n },\n {\n \"question_id\": \"62430\",\n \"answer\": \"Mexico\"\n },\n {\n \"question_id\": \"62431\",\n \"answer\": \"a nearby forest\"\n },\n {\n \"question_id\": \"62432\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62433\",\n \"answer\": \"fear of going mad by being alone\"\n },\n {\n \"question_id\": \"62434\",\n \"answer\": \"2001\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- A June trial has been set for a Detroit-area man who said he accidentally shot and killed a 19-year-old woman he thought was breaking into his home. \n\nTheodore Paul Wafer, 54, pleaded not guilty at his arraignment Wednesday to second-degree murder charges in connection with the November 2, 2013 shooting of Renisha McBride. Authorities said McBride was intoxicated and possibly disoriented following a car crash before Wafer shot her on his porch in the community of Dearborn Heights. \n\nThe trial was set for June 2. \n\nLast month, District Court Judge David Turfe said there was enough probable cause for Wafer to stand trial in connection with the shooting. \n\n\"Defendant came to the door with the shotgun,\" Turfe said, according to CNN Michigan affiliate WXYZ. \"His first thought was to bring the gun, not call for help, or not answer the door. It suggests to this court, the defendant made a bad choice.\" \n\nA friend of McBride told the court that she and the victim had been playing a drinking game with vodka and smoking marijuana the night of the shooting. \n\nWafer, whose lawyer said he shot the victim in self-defense, was charged with second-degree murder last month after days of pressure from McBride's relatives seeking an arrest. \n\nHe also was charged with manslaughter and possession of a firearm in the commission of a felony. \n\nWafer told investigators he thought McBride was breaking into his home, and that the shotgun accidentally discharged when he investigated, police said. \n\nMcBride was unarmed and there was no evidence of a break-in, so Wafer -- who authorities say shot McBride from behind a closed, locked screen door -- cannot lawfully claim he needed to shoot her to stop an imminent threat of death or great bodily harm, Wayne County Prosecutor Kym Worthy told reporters in November. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35259\": \"Why is a man from the Detroit area being tried?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35259\",\n \"answer\": \"shot and killed a 19-year-old woman\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Windows Vista (codenamed Longhorn) is an operating system by Microsoft for use on personal computers, including home and business desktops, laptops, tablet PCs and media center PCs. Development was completed on 8 November 2006, and over the following three months, it was released in stages to computer hardware and software manufacturers, business customers and retail channels. On 30 January 2007, it was released worldwide and was made available for purchase and download from the Windows Marketplace. The release of Windows Vista came more than five years after the introduction of its predecessor, Windows XP, the longest time span between successive releases of Microsoft Windows desktop operating systems. It was succeeded by Windows 7, which was released to manufacturing on 22 July 2009 and released worldwide for retail on 22 October 2009. \n\nNew features of Windows Vista include an updated graphical user interface and visual style dubbed Aero, a new search component called Windows Search, redesigned networking, audio, print and display sub-systems, and new multimedia tools such as Windows DVD Maker. Vista aimed to increase the level of communication between machines on a home network, using peer-to-peer technology to simplify sharing files and media between computers and devices. Windows Vista included version 3.0 of the .NET Framework, allowing software developers to write applications without traditional Windows APIs.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37953\": \"When was development completed for Vista?\"\n },\n {\n \"37954\": \"was it released all at once?\"\n },\n {\n \"37955\": \"What was its codename?\"\n },\n {\n \"37956\": \"When was its International release?\"\n },\n {\n \"37957\": \"How long had it been since the previous version?\"\n },\n {\n \"37958\": \"What was that version called?\"\n },\n {\n \"37959\": \"was that length of time normal?\"\n },\n {\n \"37960\": \"What came after?\"\n },\n {\n \"37961\": \"When was that given to manufacturers?\"\n },\n {\n \"37962\": \"And when could the public buy it?\"\n },\n {\n \"37963\": \"What is Aero?\"\n },\n {\n \"37964\": \"Was that for Vista?\"\n },\n {\n \"37965\": \"What was the search function named?\"\n },\n {\n \"37966\": \"Did Vista feature many redesigns?\"\n },\n {\n \"37967\": \"Can you tell me a couple?\"\n },\n {\n \"37968\": \"Was there a media tool updated as well?\"\n },\n {\n \"37969\": \"which one?\"\n },\n {\n \"37970\": \"What was the aim?\"\n },\n {\n \"37971\": \"How?\"\n },\n {\n \"37972\": \"Was API required anymore?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37953\",\n \"answer\": \"8 November 2006\"\n },\n {\n \"question_id\": \"37954\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37955\",\n \"answer\": \"Longhorn\"\n },\n {\n \"question_id\": \"37956\",\n \"answer\": \"On 30 January 2007\"\n },\n {\n \"question_id\": \"37957\",\n \"answer\": \"More than five years\"\n },\n {\n \"question_id\": \"37958\",\n \"answer\": \"Windows XP\"\n },\n {\n \"question_id\": \"37959\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37960\",\n \"answer\": \"Windows 7\"\n },\n {\n \"question_id\": \"37961\",\n \"answer\": \"22 July 2009\"\n },\n {\n \"question_id\": \"37962\",\n \"answer\": \"22 October 2009\"\n },\n {\n \"question_id\": \"37963\",\n \"answer\": \"updated graphical user interface and visual style\"\n },\n {\n \"question_id\": \"37964\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37965\",\n \"answer\": \"Windows Search\"\n },\n {\n \"question_id\": \"37966\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37967\",\n \"answer\": \"Redesigned networking, audio, print and display sub-systems\"\n },\n {\n \"question_id\": \"37968\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37969\",\n \"answer\": \"Windows DVD Maker\"\n },\n {\n \"question_id\": \"37970\",\n \"answer\": \"To increase the level of communication between machines on a home network\"\n },\n {\n \"question_id\": \"37971\",\n \"answer\": \"Using peer-to-peer technology\"\n },\n {\n \"question_id\": \"37972\",\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 XVIII \n\nA MEETING OF SOCIALISTS \n\nThe _brasserie_ into which the two men pushed their way was smaller and less ornate than the one which they had last visited. Many of the tables, too, were laid for supper. The tone of the place was still entirely Teutonic. Kendricks and his companion seated themselves at a table. \n\n\"You will eat sausage?\" Kendricks asked. \n\n\"I will eat anything,\" Julien replied. \n\n\"It is better,\" Kendricks remarked. \"Here from the first we may be watched. We are certainly observed. Be sure that you do not let fall a single word of English. It might be awkward afterwards.\" \n\n\"It's a beastly language,\" Julien declared, \"but the beer and sausages help. How many of the people here will be at the meeting?\" \n\n\"Not a hundredth part of them,\" Kendricks answered. \"It was a terrible job to get these tickets and I wouldn't like to guarantee now that we have them that we get there. Remember, if any questions are asked, you're an American, the editor or envoy of _The Coming Age._\" \n\n\"The dickens I am!\" Julien exclaimed. \"Where am I published?\" \n\n\"In New York; you're a new issue.\" \n\nJulien ate sausages and bread and butter steadily for several minutes. \n\n\"To me,\" he announced, \"there is something more satisfying about a meal of this description than that two-franc dinner where you stole my chicken.\" \n\n\"You have Teutonic instincts, without a doubt,\" Kendricks declared, \"but after all, why not a light dinner and an appetite for supper? Better for the digestion, better for the pocket, better for passing the time. What are you staring at?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5966\": \"what was the tone like in the restaurant?\"\n },\n {\n \"5967\": \"are they being watched?\"\n },\n {\n \"5968\": \"what must they be careful not to do?\"\n },\n {\n \"5969\": \"what meal of the day is it?\"\n },\n {\n \"5970\": \"how is this place different than others they have been to?\"\n },\n {\n \"5971\": \"Who is Julien pretending to be?\"\n },\n {\n \"5972\": \"working where?\"\n },\n {\n \"5973\": \"how does he feel about the English language?\"\n },\n {\n \"5974\": \"what are the mens names in this story?\"\n },\n {\n \"5975\": \"and?\"\n },\n {\n \"5976\": \"What are they eating?\"\n },\n {\n \"5977\": \"and drinking?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5966\",\n \"answer\": \"Teutonic\"\n },\n {\n \"question_id\": \"5967\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"5968\",\n \"answer\": \"let fall a single word of English\"\n },\n {\n \"question_id\": \"5969\",\n \"answer\": \"supper\"\n },\n {\n \"question_id\": \"5970\",\n \"answer\": \"It was less ornate\"\n },\n {\n \"question_id\": \"5971\",\n \"answer\": \"an American\"\n },\n {\n \"question_id\": \"5972\",\n \"answer\": \"In New York\"\n },\n {\n \"question_id\": \"5973\",\n \"answer\": \"It's a beastly language\"\n },\n {\n \"question_id\": \"5974\",\n \"answer\": \"Kendricks\"\n },\n {\n \"question_id\": \"5975\",\n \"answer\": \"Julien\"\n },\n {\n \"question_id\": \"5976\",\n \"answer\": \"sausages\"\n },\n {\n \"question_id\": \"5977\",\n \"answer\": \"beer\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Matthew Murray, the man who police say shot and killed four people at two separate locations in Colorado on Sunday, died from a self-inflicted gunshot wound, the coroner's office said Tuesday. \n\nA former roommate took this photo of Matthew Murray performing in a 2002 Christmas program. \n\n\"The death of Matthew Murray has been ruled a suicide,\" the El Paso County Coroner's Office said in a statement. \n\n\"It should be noted that he was struck multiple times by the security officer, which put him down. He then fired a single round killing himself,\" the statement said. \n\nPolice Sgt. Skip Arms told The Associated Press that Murray shot himself in the head. \n\nPolice say before Murray, 24, went down, he shot and killed sisters Stephanie and Rachael Works, ages 18 and 16, and wounded their father, who was in or near their car in the parking lot of New Life Church in Colorado Springs, Colorado. \n\nMurray also wounded two other people with his assault rifle as he re-entered the church. \n\nOne of them, Larry Bourbonnais, said he tried to distract the shooter before security guard Jeanne Assam made her move. Watch Bourbonnais describe the scene at New Life » \n\n\"I'm telling you right now, she's the hero, not me. It was the bravest thing I have ever seen,\" Bourbonnais said. \"She had no cover. He fired -- I heard him fire three. I heard her fire three. And she just began -- she kept yelling 'Surrender!' the whole time. And she just walked forward, like she's walking to her car in the parking lot, firing the whole time.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62630\": \"How many people did Matt kill?\"\n },\n {\n \"62631\": \"In how many places?\"\n },\n {\n \"62632\": \"On what day?\"\n },\n {\n \"62633\": \"How did he die?\"\n },\n {\n \"62634\": \"Who took his picture?\"\n },\n {\n \"62635\": \"what was he doing in the picture?\"\n },\n {\n \"62636\": \"what year?\"\n },\n {\n \"62637\": \"who hit Matt ?\"\n },\n {\n \"62638\": \"Who fired the bullet that killed matt?\"\n },\n {\n \"62639\": \"Where did he shoot himself?\"\n },\n {\n \"62640\": \"How old was he?\"\n },\n {\n \"62641\": \"How old was Stephanie Works?\"\n },\n {\n \"62642\": \"How old was Rachael works?\"\n },\n {\n \"62643\": \"Did they die?\"\n },\n {\n \"62644\": \"Did their father die?\"\n },\n {\n \"62645\": \"Where were they?\"\n },\n {\n \"62646\": \"In what city?\"\n },\n {\n \"62647\": \"In what state?\"\n },\n {\n \"62648\": \"Was the security guard a man?\"\n },\n {\n \"62649\": \"How many shots were exchanged?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"62630\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"62631\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"62632\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"62633\",\n \"answer\": \"gunshot?\"\n },\n {\n \"question_id\": \"62634\",\n \"answer\": \"A former roommate took this photo of Matthew Murray performing in a 2002 Christmas program.\"\n },\n {\n \"question_id\": \"62635\",\n \"answer\": \"performing in a Christmas program.\"\n },\n {\n \"question_id\": \"62636\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"62637\",\n \"answer\": \"the security officer\"\n },\n {\n \"question_id\": \"62638\",\n \"answer\": \"he killed himself\"\n },\n {\n \"question_id\": \"62639\",\n \"answer\": \"the head\"\n },\n {\n \"question_id\": \"62640\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"62641\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"62642\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"62643\",\n \"answer\": \"yes they did\"\n },\n {\n \"question_id\": \"62644\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62645\",\n \"answer\": \"New life church\"\n },\n {\n \"question_id\": \"62646\",\n \"answer\": \"Colorado Springs\"\n },\n {\n \"question_id\": \"62647\",\n \"answer\": \"Colorado.\"\n },\n {\n \"question_id\": \"62648\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62649\",\n \"answer\": \"She had no cover. He fired -- I heard him fire three. I heard her fire three. And she just began -- sh\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 pub /pʌb/, or public house is, despite its name, a private house, but is called a public house because it is licensed to sell alcohol to the general public. It is a drinking establishment in Britain, Ireland, New Zealand, Australia, Canada, Denmark and New England. In many places, especially in villages, a pub can be the focal point of the community. The writings of Samuel Pepys describe the pub as the heart of England. \n\nThe history of pubs can be traced back to Roman taverns, through the Anglo-Saxon alehouse to the development of the modern tied house system in the 19th century. \n\nHistorically, pubs have been socially and culturally distinct from cafés, bars and German beer halls. Most pubs offer a range of beers, wines, spirits, and soft drinks and snacks. Traditionally the windows of town pubs were of smoked or frosted glass to obscure the clientele from the street but from the 1990s onwards, there has been a move towards clear glass, in keeping with brighter interiors.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21479\": \"What is a pub?\"\n },\n {\n \"21480\": \"What is it for?\"\n },\n {\n \"21481\": \"what does it serve?\"\n },\n {\n \"21482\": \"Anything else?\"\n },\n {\n \"21483\": \"Are they in America?\"\n },\n {\n \"21484\": \"where?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21479\",\n \"answer\": \"a public house\"\n },\n {\n \"question_id\": \"21480\",\n \"answer\": \"drinking\"\n },\n {\n \"question_id\": \"21481\",\n \"answer\": \"alcohol\"\n },\n {\n \"question_id\": \"21482\",\n \"answer\": \"soft drinks and snacks\"\n },\n {\n \"question_id\": \"21483\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21484\",\n \"answer\": \"new england\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Chinese tradition of giving gifts of money in red envelopes at Lunar New Year has turned into big business for Web giants Alibaba and Tencent, which now both offer electronic \"hong bao\". At the end of each lunar year, it is common in China to give children hong bao -- some money in envelopes that are red, the colour of success. But now theold also take part in this activity. It is now possible to exchange \"red envelopes\" with smartphone, which is popular in China and has caused a battle for the _ market between the two companies providing the service, Tencent and Alibaba. \"You don't have to pay the same cost or wait as long as you would for a traditional bank transfer . It's more convenient, simple and fun,\" Wang Le, a 28-year-old Beijinger, told AFP. \" With electronic red envelopes, you're not limited by your identity or the time of year. It's a new, fresh way of playing the game.\" The idea was introduced in 2014 by WeChat, a mobile messaging system with over 400 million users and run[:**]by Tencent, China's largest Internet service system. It was successful at once. This year, Alipay Wallet , the payment system run by Alibaba, is ready to take on the competition. It is allowing its 190 million users to send digital gifts, especially on the Twitter-like Sina Weibo. For the past few weeks a digital battle has been terrible, with Tencent banning Alipay from sending red envelopes on WeChat, saying they were at a risk. Recently, WeChat also blocked Alibaba's music app Xiami. To attract the public's attention, the two companies have launched lotteries through which they award red envelopes to users in an online game. It's easy to send and receive hong bao or take part in the lotteries: you simply need to register your bank details. According to market research group iResearch, Alipay controls 82.6 percent of the Chinese mobile phone payment market, compared to 10 percent for Tencent's Tenpay.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14725\": \"How old is Wang Le?\"\n },\n {\n \"14726\": \"What is WeChat?\"\n },\n {\n \"14727\": \"How many people use it?\"\n },\n {\n \"14728\": \"Who runs it?\"\n },\n {\n \"14729\": \"Where are they located?\"\n },\n {\n \"14730\": \"They are China's largest what?\"\n },\n {\n \"14731\": \"What color envelopes are money given in?\"\n },\n {\n \"14732\": \"Is this a Japanese tradition?\"\n },\n {\n \"14733\": \"What then?\"\n },\n {\n \"14734\": \"When are these gifts given?\"\n },\n {\n \"14735\": \"What companies are making money off of this tradition?\"\n },\n {\n \"14736\": \"Red symbolizes what?\"\n },\n {\n \"14737\": \"What payment system is run by Alibaba?\"\n },\n {\n \"14738\": \"How many users does it allow to send gifts?\"\n },\n {\n \"14739\": \"What is Alibaba's music app?\"\n },\n {\n \"14740\": \"What did WeChat do to it?\"\n },\n {\n \"14741\": \"Was this a long time ago?\"\n },\n {\n \"14742\": \"What does Alipay control 82.6 percent of?\"\n },\n {\n \"14743\": \"What percent does Tenpay account for?\"\n },\n {\n \"14744\": \"What company is Tenpay associated with?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14725\",\n \"answer\": \"28\"\n },\n {\n \"question_id\": \"14726\",\n \"answer\": \"a moblie messaging system\"\n },\n {\n \"question_id\": \"14727\",\n \"answer\": \"400 million\"\n },\n {\n \"question_id\": \"14728\",\n \"answer\": \"Tencent\"\n },\n {\n \"question_id\": \"14729\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"14730\",\n \"answer\": \"internet service system\"\n },\n {\n \"question_id\": \"14731\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"14732\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14733\",\n \"answer\": \"it is a Chinese tradtion\"\n },\n {\n \"question_id\": \"14734\",\n \"answer\": \"lunar new year\"\n },\n {\n \"question_id\": \"14735\",\n \"answer\": \"Alibaba and Tencent\"\n },\n {\n \"question_id\": \"14736\",\n \"answer\": \"success\"\n },\n {\n \"question_id\": \"14737\",\n \"answer\": \"Alipay\"\n },\n {\n \"question_id\": \"14738\",\n \"answer\": \"190 million\"\n },\n {\n \"question_id\": \"14739\",\n \"answer\": \"Xiami\"\n },\n {\n \"question_id\": \"14740\",\n \"answer\": \"blocked it\"\n },\n {\n \"question_id\": \"14741\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14742\",\n \"answer\": \"the Chinese mobile phone payment market\"\n },\n {\n \"question_id\": \"14743\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"14744\",\n \"answer\": \"Tencent\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Perfect Presents David is going to American to stay with his penfriend, Chris.David wants to take some presents with him. Chris lives in New York with his parents and his two sisters.We both love sports, especially (,)football and basketball. My mum thinks it is a good idea to take presents for all the family.So here I am on a shopping trip with my mum. I know what I want for Chris.I am buying him a football shirt.He is a big Chelsea fan .It's expensive but it's the perfect present.Mum has good ideas about what to buy for Chris's parents.She suggests some typical English foods like tea and marmalade .We find a great shop.It has just what we want.Mum also buys them a photo of London. That just leaves Chris's sisters.We go to a toy shop and I see some beautiful teddy bears.They are all in different colours and say \"Greetings from London.\" They are perfect.Now I'm ready for my holiday.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33195\": \"Who is going to America?\"\n },\n {\n \"33196\": \"did he want to take something?\"\n },\n {\n \"33197\": \"What was it?\"\n },\n {\n \"33198\": \"Who does his friend live with?\"\n },\n {\n \"33199\": \"What is he doing with his mom?\"\n },\n {\n \"33200\": \"Who is a big admirer?\"\n },\n {\n \"33201\": \"what does he wish to get for his friend?\"\n },\n {\n \"33202\": \"Do they locate a store?\"\n },\n {\n \"33203\": \"What does his mother purchase?\"\n },\n {\n \"33204\": \"For who?\"\n },\n {\n \"33205\": \"What did they purchase for the girls?\"\n },\n {\n \"33206\": \"What did they say?\"\n },\n {\n \"33207\": \"Were they happy with them?\"\n },\n {\n \"33208\": \"What's he ready for?\"\n },\n {\n \"33209\": \"what kind of store did they purchase from for the girls?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33195\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"33196\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33197\",\n \"answer\": \"Presents\"\n },\n {\n \"question_id\": \"33198\",\n \"answer\": \"His parents\"\n },\n {\n \"question_id\": \"33199\",\n \"answer\": \"Shopping\"\n },\n {\n \"question_id\": \"33200\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"33201\",\n \"answer\": \"a football shirt\"\n },\n {\n \"question_id\": \"33202\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33203\",\n \"answer\": \"a photo of London.\"\n },\n {\n \"question_id\": \"33204\",\n \"answer\": \"Chris's parents\"\n },\n {\n \"question_id\": \"33205\",\n \"answer\": \"Teddy bears\"\n },\n {\n \"question_id\": \"33206\",\n \"answer\": \"Greetings from London\"\n },\n {\n \"question_id\": \"33207\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33208\",\n \"answer\": \"His holiday\"\n },\n {\n \"question_id\": \"33209\",\n \"answer\": \"A toy shop\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 territory that now constitutes Tajikistan was previously home to several ancient cultures, including the city of Sarazm of the Neolithic and the Bronze Age, and was later home to kingdoms ruled by people of different faiths and cultures, including the Oxus civilization, Andronovo culture, Buddhism, Nestorian Christianity, Zoroastrianism, and Manichaeism. The area has been ruled by numerous empires and dynasties, including the Achaemenid Empire, Sassanian Empire, Hephthalite Empire, Samanid Empire, Mongol Empire, Timurid dynasty, and the Russian Empire. As a result of the breakup of the Soviet Union, Tajikistan became an independent nation in 1991. A civil war was fought almost immediately after independence, lasting from 1992 to 1997. Since the end of the war, newly established political stability and foreign aid have allowed the country's economy to grow. \n\nTajiks began to be conscripted into the Soviet Army in 1939 and during World War II around 260,000 Tajik citizens fought against Germany, Finland and Japan. Between 60,000(4%) and 120,000(8%) of Tajikistan's 1,530,000 citizens were killed during World War II. Following the war and Stalin's reign attempts were made to further expand the agriculture and industry of Tajikistan. During 1957–58 Nikita Khrushchev's Virgin Lands Campaign focused attention on Tajikistan, where living conditions, education and industry lagged behind the other Soviet Republics. In the 1980s, Tajikistan had the lowest household saving rate in the USSR, the lowest percentage of households in the two top per capita income groups, and the lowest rate of university graduates per 1000 people. By the late 1980s Tajik nationalists were calling for increased rights. Real disturbances did not occur within the republic until 1990. The following year, the Soviet Union collapsed, and Tajikistan declared its independence.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44273\": \"Were there other cultures in Tajikistan?\"\n },\n {\n \"44274\": \"Any example?\"\n },\n {\n \"44275\": \"What period was that?\"\n },\n {\n \"44276\": \"Did others showed up later?\"\n },\n {\n \"44277\": \"Any example?\"\n },\n {\n \"44278\": \"Who used to rule the area?\"\n },\n {\n \"44279\": \"Did they stay with them?\"\n },\n {\n \"44280\": \"What happened?\"\n },\n {\n \"44281\": \"Which year?\"\n },\n {\n \"44282\": \"What happened to them just after that?\"\n },\n {\n \"44283\": \"Which year?\"\n },\n {\n \"44284\": \"Did they recover from that?\"\n },\n {\n \"44285\": \"What helped them in that?\"\n },\n {\n \"44286\": \"What was their role in the Soviet Army?\"\n },\n {\n \"44287\": \"After war who tried to industrialize the place?\"\n },\n {\n \"44288\": \"Who addressed their plight next?\"\n },\n {\n \"44289\": \"In which years?\"\n },\n {\n \"44290\": \"How they fared compared to other Republics?\"\n },\n {\n \"44291\": \"What was their savings ranked in the 80s?\"\n },\n {\n \"44292\": \"After which year they declared independence?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"44273\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44274\",\n \"answer\": \"Sarazm\"\n },\n {\n \"question_id\": \"44275\",\n \"answer\": \"the Neolithic and the Bronze Age\"\n },\n {\n \"question_id\": \"44276\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44277\",\n \"answer\": \"Buddhism\"\n },\n {\n \"question_id\": \"44278\",\n \"answer\": \"the Soviet Union\"\n },\n {\n \"question_id\": \"44279\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44280\",\n \"answer\": \"the breakup of the Soviet Union\"\n },\n {\n \"question_id\": \"44281\",\n \"answer\": \"1991\"\n },\n {\n \"question_id\": \"44282\",\n \"answer\": \"A civil war\"\n },\n {\n \"question_id\": \"44283\",\n \"answer\": \"from 1992 to 1997\"\n },\n {\n \"question_id\": \"44284\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44285\",\n \"answer\": \"political stability and foreign aid\"\n },\n {\n \"question_id\": \"44286\",\n \"answer\": \"260,000 citizens fought in World War II\"\n },\n {\n \"question_id\": \"44287\",\n \"answer\": \"Stalin\"\n },\n {\n \"question_id\": \"44288\",\n \"answer\": \"Nikita Khrushchev\"\n },\n {\n \"question_id\": \"44289\",\n \"answer\": \"1957\\u201358\"\n },\n {\n \"question_id\": \"44290\",\n \"answer\": \"poorly\"\n },\n {\n \"question_id\": \"44291\",\n \"answer\": \"the lowest in the USSR\"\n },\n {\n \"question_id\": \"44292\",\n \"answer\": \"after 1990\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nVALVE MAKING. \n\nOne morning, when Rollo awaked, he heard a sharp clicking against the window. \n\n\"Nathan,\" said he, \"Nathan, I believe there is a snow-storm.\" \n\nBut Nathan was too sleepy to hear or understand. \n\nRollo looked up, but there was a curtain against the window, and he could not see very well. He listened. He heard a low, moaning sound made by the wind, and a continuance of the sharp clicking which he had heard at first. \n\nWhen he had got up, and dressed himself, he found that there was a violent snow-storm. At first he was glad of it, for he liked snow-storms. But then, pretty soon, he was sorry, for it had been winter a long time, and he was impatient for the spring. \n\nAfter breakfast, he and Nathan read and studied for two hours, under their mother's direction. When they were released from these duties, Rollo proposed to Nathan that they should go out into the shed, and see how the storm came on. There was a large door in the shed, opening towards the street, where they could stand, protected from the wind, and see the drifts of snow. \n\nThey accordingly put on their caps, and went. They found that the snow was pretty deep. It was heaped up upon the fence and against the windows; and there was a curious-shaped drift, with the top curled over in a singular manner, running along from the corner of the shed towards the garden gate. \n\n\"Ah,\" says Rollo, \"when it clears up, I mean to go and wade through it.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20969\": \"Did the pair go outside?\"\n },\n {\n \"20970\": \"what did they wear to do this?\"\n },\n {\n \"20971\": \"who woke first?\"\n },\n {\n \"20972\": \"what told his there was a snow-storm?\"\n },\n {\n \"20973\": \"did they eat a meal?\"\n },\n {\n \"20974\": \"what?\"\n },\n {\n \"20975\": \"when he got up, could Rollo see out?\"\n },\n {\n \"20976\": \"why?\"\n },\n {\n \"20977\": \"how many sounds could he hear?\"\n },\n {\n \"20978\": \"name one\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20969\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20970\",\n \"answer\": \"their caps\"\n },\n {\n \"question_id\": \"20971\",\n \"answer\": \"Rollo\"\n },\n {\n \"question_id\": \"20972\",\n \"answer\": \"Rollo\"\n },\n {\n \"question_id\": \"20973\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20974\",\n \"answer\": \"breakfast\"\n },\n {\n \"question_id\": \"20975\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20976\",\n \"answer\": \"there was a curtain against the window\"\n },\n {\n \"question_id\": \"20977\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"20978\",\n \"answer\": \"moaning sound made by the wind\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mary and Peter were having a picnic with some friends near a river when Mary shouted,\"Look!That's a spaceship up there and it's going to land here.\" Frightened by the strange spaceship,all the young people got into their cars and drove away as quickly as possible except Peter and Mary. They were more curious than frightened. They watched the spaceship land and saw a door open,but nobody came out,so they went to look into it. In the center of the floor,there was a lot of food. Peter followed Mary into the spaceship and did not hear the door close behind him. The temperature fell in no time and very soon the two young people didn't know anything. When they came to themselves,they were surprised to see that the spaceship disappeared, their car was near them. \"What happened?\"asked Mary. Peter scratched his head,saying slowly,\"Don't ask me. Perhaps we had a problem. Come on. It's time to go home.\" After driving about fifty meters,they found a thick wall made of something like glass stood in their way. On the other side of the wall,a few strange aliens were looking through the wall and reading a notice,it said,\"New comers at the zoo: a pair of earth villagers with their _ .\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25353\": \"who went into the ship first?\"\n },\n {\n \"25354\": \"what were the people doing whe they see something?\"\n },\n {\n \"25355\": \"alone?\"\n },\n {\n \"25356\": \"did they deliberately close the ship's door?\"\n },\n {\n \"25357\": \"who didn't notice it shutting?\"\n },\n {\n \"25358\": \"who saw the ship first?\"\n },\n {\n \"25359\": \"what did the rest of the young people do?\"\n },\n {\n \"25360\": \"amd?\"\n },\n {\n \"25361\": \"why?\"\n },\n {\n \"25362\": \"what happened once the door closed?\"\n },\n {\n \"25363\": \"and then?\"\n },\n {\n \"25364\": \"how far did they drive?\"\n },\n {\n \"25365\": \"what did they come across?\"\n },\n {\n \"25366\": \"what could they see?\"\n },\n {\n \"25367\": \"doing?\"\n },\n {\n \"25368\": \"what did they see in the middle of the ship?\"\n },\n {\n \"25369\": \"did they eat any?\"\n },\n {\n \"25370\": \"what did the sign say?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"25353\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"25354\",\n \"answer\": \"having a picnic\"\n },\n {\n \"question_id\": \"25355\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25356\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25357\",\n \"answer\": \"Peter\"\n },\n {\n \"question_id\": \"25358\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"25359\",\n \"answer\": \"got into their cars\"\n },\n {\n \"question_id\": \"25360\",\n \"answer\": \"drove away\"\n },\n {\n \"question_id\": \"25361\",\n \"answer\": \"they were frightened\"\n },\n {\n \"question_id\": \"25362\",\n \"answer\": \"The temperature fell\"\n },\n {\n \"question_id\": \"25363\",\n \"answer\": \"the two young people didn't know anything\"\n },\n {\n \"question_id\": \"25364\",\n \"answer\": \"about fifty meters\"\n },\n {\n \"question_id\": \"25365\",\n \"answer\": \"a thick wall\"\n },\n {\n \"question_id\": \"25366\",\n \"answer\": \"aliens\"\n },\n {\n \"question_id\": \"25367\",\n \"answer\": \"looking through the wall\"\n },\n {\n \"question_id\": \"25368\",\n \"answer\": \"food\"\n },\n {\n \"question_id\": \"25369\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"25370\",\n \"answer\": \"\\\"New comers at the zoo: a pair of earth villagers with their _\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 LVII. \n\nTHE LOVES AND HOPES OF ALBERT FITZALLEN. \n\nFelix Graham, when he left poor Mary Snow, did not go on immediately to the doctor's shop. He had made up his mind that Mary Snow should never be his wife, and therefore considered it wise to lose no time in making such arrangements as might be necessary both for his release and for hers. But, nevertheless, he had not the heart to go about the work the moment that he left her. He passed by the apothecary's, and looking in saw a young man working sedulously at a pestle. If Albert Fitzallen were fit to be her husband and willing to be so, poor as he was himself, he would still make some pecuniary sacrifice by which he might quiet his own conscience and make Mary's marriage possible. He still had a sum of £1,200 belonging to him, that being all his remaining capital; and the half of that he would give to Mary as her dower. So in two days he returned, and again looking in at the doctor's shop, again saw the young man at his work. \n\n\"Yes, sir, my name is Albert Fitzallen,\" said the medical aspirant, coming round the counter. There was no one else in the shop, and Felix hardly knew how to accost him on so momentous a subject, while he was still in charge of all that store of medicine, and liable to be called away at any moment to relieve the ailments of Clapham. Albert Fitzallen was a pale-faced, light-haired youth, with an incipient moustache, with his hair parted in equal divisions over his forehead, with elaborate shirt-cuffs elaborately turned back, and with a white apron tied round him so that he might pursue his vocation without injury to his nether garments. His face, however, was not bad, nor mean, and had there not been about him a little air of pretension, assumed perhaps to carry off the combined apron and beard, Felix would have regarded him altogether with favourable eyes. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12734\": \"Who left someone?\"\n },\n {\n \"12735\": \"Who did he leave?\"\n },\n {\n \"12736\": \"What had he decided about her?\"\n },\n {\n \"12737\": \"Does he want to wait a long time for them to move on?\"\n },\n {\n \"12738\": \"Does he want to start immediately?\"\n },\n {\n \"12739\": \"Where was he going?\"\n },\n {\n \"12740\": \"Where did he pass by on the way?\"\n },\n {\n \"12741\": \"What does he see?\"\n },\n {\n \"12742\": \"Doing what?\"\n },\n {\n \"12743\": \"Does he go in?\"\n },\n {\n \"12744\": \"When does he go back?\"\n },\n {\n \"12745\": \"What is he called?\"\n },\n {\n \"12746\": \"What is his last name?\"\n },\n {\n \"12747\": \"Was he alone?\"\n },\n {\n \"12748\": \"What might he get asked to do?\"\n },\n {\n \"12749\": \"Of who?\"\n },\n {\n \"12750\": \"When?\"\n },\n {\n \"12751\": \"What is he like?\"\n },\n {\n \"12752\": \"What about his hair?\"\n },\n {\n \"12753\": \"And his clothes?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12734\",\n \"answer\": \"Felix Graham\"\n },\n {\n \"question_id\": \"12735\",\n \"answer\": \"Mary Snow\"\n },\n {\n \"question_id\": \"12736\",\n \"answer\": \"Mary Snow should never be his wife\"\n },\n {\n \"question_id\": \"12737\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12738\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12739\",\n \"answer\": \"the doctor's shop\"\n },\n {\n \"question_id\": \"12740\",\n \"answer\": \"the apothecary's\"\n },\n {\n \"question_id\": \"12741\",\n \"answer\": \"a young man\"\n },\n {\n \"question_id\": \"12742\",\n \"answer\": \"working sedulously at a pestle\"\n },\n {\n \"question_id\": \"12743\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12744\",\n \"answer\": \"in two days\"\n },\n {\n \"question_id\": \"12745\",\n \"answer\": \"Albert\"\n },\n {\n \"question_id\": \"12746\",\n \"answer\": \"Fitzallen\"\n },\n {\n \"question_id\": \"12747\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12748\",\n \"answer\": \"called away to relieve ailments\"\n },\n {\n \"question_id\": \"12749\",\n \"answer\": \"Clapham\"\n },\n {\n \"question_id\": \"12750\",\n \"answer\": \"at any moment\"\n },\n {\n \"question_id\": \"12751\",\n \"answer\": \"a pale-faced, light-haired youth\"\n },\n {\n \"question_id\": \"12752\",\n \"answer\": \"parted in equal divisions over his forehead\"\n },\n {\n \"question_id\": \"12753\",\n \"answer\": \"with a white apron tied round him\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Islamabad, Pakistan (CNN) -- Some 200 houses were damaged in a southwestern province of Pakistan after an earthquake with a magnitude of 7.2 struck Wednesday, officials said. \n\nThe mud-walled houses were damaged in districts close to the epicenter, said Ahmed Kamal, spokesman for the country's National Disaster Management Authority. Hundreds of tents, blankets and ready-to-eat meals were sent to the affected area, he said. \n\nThe earthquake occurred at 1:23 a.m. Wednesday (3:23 p.m. Tuesday ET) at a depth of 84 kilometers (52 miles), the U.S. Geological Survey said. It was centered 45 kilometers (30 miles) west of Dalbandin, and 1,035 kilometers (640 miles) west-southwest of Islamabad, the USGS said on its website. \n\nThere were no reports of injuries or deaths, Kamal said. \n\nThe United States, China and Australia had offered aid to Pakistan, but it had not been initially accepted, Kamal said. \n\n\"The offer was appreciated but not accepted because its not required yet,\" he said. \n\nArif Mahmood, director of the Pakistan Meteorological Department, put the epicenter at 320 kilometers (about 200 miles) southwest of Quetta near Kharan, Balochistan, and said it had been felt in Punjab, Sindh, and Balochistan provinces in Pakistan, as well as parts of Iran and India. \n\nMahmood predicted major aftershocks. \"Earthquakes with such magnitudes in the past have brought on aftershocks,\" he told CNN from Islamabad. \n\nAn official at Quetta's Civil Hospital said a female cardiac patient suffered a fatal heart attack during the earthquake. He said two residents raced to the hospital but they proved not to have been injured, just scared. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97340\": \"what did Mahmood predict?\"\n },\n {\n \"97341\": \"Were there any deaths?\"\n },\n {\n \"97342\": \"injuries?\"\n },\n {\n \"97343\": \"What did the lady patient suffer from?\"\n },\n {\n \"97344\": \"Are the homes made of brick?\"\n },\n {\n \"97345\": \"then what?\"\n },\n {\n \"97346\": \"How many countries offered help?\"\n },\n {\n \"97347\": \"Which ones?\"\n },\n {\n \"97348\": \"Where was the epicenter?\"\n },\n {\n \"97349\": \"How many dwellings had damage?\"\n },\n {\n \"97350\": \"What was sent to the area?\"\n },\n {\n \"97351\": \"By who?\"\n },\n {\n \"97352\": \"Did they accept the help offered?\"\n },\n {\n \"97353\": \"Was it appreciated?\"\n },\n {\n \"97354\": \"why wasn't it accepted?\"\n },\n {\n \"97355\": \"who said that?\"\n },\n {\n \"97356\": \"What hospital was the cardiac arrest patient?\"\n },\n {\n \"97357\": \"What time did the earthquake happen?\"\n },\n {\n \"97358\": \"How many other countries was it felt in?\"\n },\n {\n \"97359\": \"On what day was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97340\",\n \"answer\": \"Mahmood predicted major aftershocks.\"\n },\n {\n \"question_id\": \"97341\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97342\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97343\",\n \"answer\": \"a fatal heart attack\"\n },\n {\n \"question_id\": \"97344\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97345\",\n \"answer\": \"The mud-walled houses\"\n },\n {\n \"question_id\": \"97346\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"97347\",\n \"answer\": \"The United States, China and Australia\"\n },\n {\n \"question_id\": \"97348\",\n \"answer\": \"30 miles west of Dalbandin, 640 miles west-southwest of Islamabad\"\n },\n {\n \"question_id\": \"97349\",\n \"answer\": \"200\"\n },\n {\n \"question_id\": \"97350\",\n \"answer\": \"tents, blankets and ready-to-eat meals\"\n },\n {\n \"question_id\": \"97351\",\n \"answer\": \"the country's National Disaster Management Authority.\"\n },\n {\n \"question_id\": \"97352\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97353\",\n \"answer\": \"\\\"yes\"\n },\n {\n \"question_id\": \"97354\",\n \"answer\": \"not needed yet\"\n },\n {\n \"question_id\": \"97355\",\n \"answer\": \"Ahmed Kamal\"\n },\n {\n \"question_id\": \"97356\",\n \"answer\": \"Quetta's Civil Hospital\"\n },\n {\n \"question_id\": \"97357\",\n \"answer\": \"at 1:23 a.m. Wednesday\"\n },\n {\n \"question_id\": \"97358\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"97359\",\n \"answer\": \"Wednesday\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Harry is a boy with a learning disability. On his fourth birthday, he was given a pug called Millie. Two weeks after the dog's arrival, he was happier and calmer and said his first words, \"dog\" and \"mummy\". Just two months later, thieves stole the dog, and now the heartbroken little boy is back to where he started. He has refused to talk since losing his best friend. His mother was worried and gave him another dog, but he just \"pushed it away\". Mrs Hainsworth, his mother, says, \"My son is very sad. He'll go over to her cage and just beat on the bars. There is no word coming out, but you just know he's screaming 'Where is Millie' inside. Millie was really his best friend. They would play together happily for hours. None of his toys has ever held his attention that long. Now he has just completely turned quiet again. \"Harry suffers from a condition which affects his ability to speak and move. But the dog's being with him achieved more in days than months of speech therapy and physiotherapy had. Mrs Hainsworth says, \"My son was so happy when he saw Millie. Being with Millie changed him, and within two weeks he had said his first words and was working on saying 'dad'. Just last week, his teachers and I were saying how much Millie had helped him. And now this!\" Mrs Hainsworth is considering buying another pug in the hope that her son will accept it. Maureen Hennis of the charity, Pets as Therapy, says she has seen many cases of dogs helping people with speech problems. \"People may talk to a dog when they wouldn't like to talk to another human,\" she says. \"A dog doesn't care if words come out wrong.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68763\": \"Did someone have a pet?\"\n },\n {\n \"68764\": \"What kind?\"\n },\n {\n \"68765\": \"What was it named?\"\n },\n {\n \"68766\": \"Who owned it?\"\n },\n {\n \"68767\": \"How old was he?\"\n },\n {\n \"68768\": \"Who was his mother?\"\n },\n {\n \"68769\": \"Did the pet affect the kid?\"\n },\n {\n \"68770\": \"How so?\"\n },\n {\n \"68771\": \"Did something happen to the pet?\"\n },\n {\n \"68772\": \"What?\"\n },\n {\n \"68773\": \"How long after they got it?\"\n },\n {\n \"68774\": \"Was the kid happy or sad about this?\"\n },\n {\n \"68775\": \"Is there an organization that deals with this sort of relationship?\"\n },\n {\n \"68776\": \"Who?\"\n },\n {\n \"68777\": \"Who is someone that works there?\"\n },\n {\n \"68778\": \"Do they charge money for their services?\"\n },\n {\n \"68779\": \"Did the kid get another pet?\"\n },\n {\n \"68780\": \"Did the kid continue speaking after the pet was gone?\"\n },\n {\n \"68781\": \"How long would the pet and the kid goof off?\"\n },\n {\n \"68782\": \"Was he the same way with toys?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"68763\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68764\",\n \"answer\": \"a pug\"\n },\n {\n \"question_id\": \"68765\",\n \"answer\": \"Millie\"\n },\n {\n \"question_id\": \"68766\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"68767\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"68768\",\n \"answer\": \"Mrs Hainsworth\"\n },\n {\n \"question_id\": \"68769\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68770\",\n \"answer\": \"within two weeks he had said his first words\"\n },\n {\n \"question_id\": \"68771\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68772\",\n \"answer\": \"thieves stole the dog\"\n },\n {\n \"question_id\": \"68773\",\n \"answer\": \"two months\"\n },\n {\n \"question_id\": \"68774\",\n \"answer\": \"sad\"\n },\n {\n \"question_id\": \"68775\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68776\",\n \"answer\": \"Pets as Therapy\"\n },\n {\n \"question_id\": \"68777\",\n \"answer\": \"Maureen Hennis\"\n },\n {\n \"question_id\": \"68778\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"68779\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"68780\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68781\",\n \"answer\": \"for hours.\"\n },\n {\n \"question_id\": \"68782\",\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 Delhi (i/ˌnjuː ˈdɛli/) is a municipality and district in Delhi which serves as the capital and seat of government of India. In addition, it also serves as the seat of Government of Delhi. \n\nThe foundation stone of the city was laid by George V, Emperor of India during the Delhi Durbar of 1911. It was designed by British architects, Sir Edwin Lutyens and Sir Herbert Baker. The new capital was inaugurated on 13 February 1931, by India's Viceroy Lord Irwin. \n\nAlthough colloquially Delhi and New Delhi as names are used interchangeably to refer to the jurisdiction of NCT of Delhi, these are two distinct entities, and the latter is a small part of the former. \n\nNew Delhi has been selected as one of the hundred Indian cities to be developed as a smart city under PM Narendra Modi's flagship Smart Cities Mission. \n\nCalcutta (now Kolkata) was the capital of India during the British Raj until December 1911. However, Delhi had served as the political and financial centre of several empires of ancient India and the Delhi Sultanate, most notably of the Mughal Empire from 1649 to 1857. During the early 1900s, a proposal was made to the British administration to shift the capital of the British Indian Empire (as it was officially called) from Calcutta to Delhi. Unlike Calcutta, which was located on the eastern coast of India, Delhi was at the centre of northern India and the Government of British India felt that it would be logistically easier to administer India from the latter rather than the former.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74617\": \"Where is New Delhi located?\"\n },\n {\n \"74618\": \"What purpose does it have?\"\n },\n {\n \"74619\": \"What else is it the seat of government of?\"\n },\n {\n \"74620\": \"What type of city is it being designed as?\"\n },\n {\n \"74621\": \"When did it originally begin being built?\"\n },\n {\n \"74622\": \"What else happened on that date?\"\n },\n {\n \"74623\": \"How many people designed New Delhi?\"\n },\n {\n \"74624\": \"How many founded it?\"\n },\n {\n \"74625\": \"Are Delhi and New Delhi the same?\"\n },\n {\n \"74626\": \"Which is smaller than the other?\"\n },\n {\n \"74627\": \"Has Delhi been the capital of other countries?\"\n },\n {\n \"74628\": \"Was it the first capital of India?\"\n },\n {\n \"74629\": \"Who decide to change the capital?\"\n },\n {\n \"74630\": \"Why?\"\n },\n {\n \"74631\": \"Where was Calcutta?\"\n },\n {\n \"74632\": \"When did New Delhi become the capital?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74617\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"74618\",\n \"answer\": \"seat of Government of Delhi.\"\n },\n {\n \"question_id\": \"74619\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"74620\",\n \"answer\": \"smart city\"\n },\n {\n \"question_id\": \"74621\",\n \"answer\": \"1911\"\n },\n {\n \"question_id\": \"74622\",\n \"answer\": \"the capital of the British Indian Empire shifted to Delhi\"\n },\n {\n \"question_id\": \"74623\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"74624\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"74625\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74626\",\n \"answer\": \"New Delhi\"\n },\n {\n \"question_id\": \"74627\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74628\",\n \"answer\": \"Calcutta\"\n },\n {\n \"question_id\": \"74629\",\n \"answer\": \"Government of British India\"\n },\n {\n \"question_id\": \"74630\",\n \"answer\": \"Delhi was at the centre of northern India\"\n },\n {\n \"question_id\": \"74631\",\n \"answer\": \"eastern coast of India\"\n },\n {\n \"question_id\": \"74632\",\n \"answer\": \"13 February 1931\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Micronesia (from \"mikrós\" \"small\" and \"nêsos\" \"island\") is a subregion of Oceania, comprising thousands of small islands in the western Pacific Ocean. It has a shared cultural history with two other island regions, Polynesia to the east and Melanesia to the south. \n\nThe region has a tropical marine climate, and is part of the Oceania ecozone. There are four main archipelagos along with numerous outlying islands. \n\nMicronesia is divided politically among several sovereign countries. One of these is the Federated States of Micronesia, which is often called \"Micronesia\" for short and is not to be confused with the overall region. The Micronesia region encompasses five sovereign, independent nations—the Federated States of Micronesia, Palau, Kiribati, Marshall Islands, and Nauru—as well as three U.S. territories in the northern part: Northern Mariana Islands, Guam, and Wake Island. \n\nMicronesia began to be settled several millennia ago, although there are competing theories about the origin and arrival of the first settlers. The earliest known contact with Europeans occurred in 1521, when Ferdinand Magellan reached the Marianas. The coinage of the term \"Micronesia\" is usually attributed to Jules Dumont d'Urville's usage in 1832, however Domeny de Rienzi had used the term a year previously. \n\nMicronesia is a region that includes approximately 2100 islands, with a total land area of , the largest of which is Guam, which covers . The total ocean area within the perimeter of the islands is .\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43419\": \"Where is Micronesia located?\"\n },\n {\n \"43420\": \"How many main archipelagos does it consist of?\"\n },\n {\n \"43421\": \"Does it consist of just one country?\"\n },\n {\n \"43422\": \"What kind of climate does it have?\"\n },\n {\n \"43423\": \"How many islands does it approximately include?\"\n },\n {\n \"43424\": \"What is the name of the largest island?\"\n },\n {\n \"43425\": \"What other two island regions does it share a cultural history with?\"\n },\n {\n \"43426\": \"Who is attributed with coining the tern micronesia?\"\n },\n {\n \"43427\": \"In what year?\"\n },\n {\n \"43428\": \"How many sovereign, independent nations does Micronesia include?\"\n },\n {\n \"43429\": \"Dies it unclude any U.S territories?\"\n },\n {\n \"43430\": \"What are the names of the independent nations?\"\n },\n {\n \"43431\": \"When did it's first contact with Europeans occure?\"\n },\n {\n \"43432\": \"Who was the first to reach the islands from europe?\"\n },\n {\n \"43433\": \"Who used the term micronesia a year earlier before Jules dumont d'Urville?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43419\",\n \"answer\": \"Oceania\"\n },\n {\n \"question_id\": \"43420\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"43421\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43422\",\n \"answer\": \"Tropical marine\"\n },\n {\n \"question_id\": \"43423\",\n \"answer\": \"2100\"\n },\n {\n \"question_id\": \"43424\",\n \"answer\": \"Guam\"\n },\n {\n \"question_id\": \"43425\",\n \"answer\": \"Polynesia and Melanesia\"\n },\n {\n \"question_id\": \"43426\",\n \"answer\": \"Jules Dumont d'Urville\"\n },\n {\n \"question_id\": \"43427\",\n \"answer\": \"1832\"\n },\n {\n \"question_id\": \"43428\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"43429\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43430\",\n \"answer\": \"The Federated States of Micronesia, Palau, Kiribati, Marshall Islands, and Nauru\"\n },\n {\n \"question_id\": \"43431\",\n \"answer\": \"1521\"\n },\n {\n \"question_id\": \"43432\",\n \"answer\": \"Ferdinand Magellan\"\n },\n {\n \"question_id\": \"43433\",\n \"answer\": \"Domeny de Rienzi\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n East Prussia enclosed the bulk of the ancestral lands of the Baltic Old Prussians. During the 13th century, the native Prussians were conquered by the crusading Teutonic Knights. The indigenous Balts who survived the conquest were gradually converted to Christianity. Because of Germanization and colonisation over the following centuries, Germans became the dominant ethnic group, while Poles and Lithuanians formed minorities. From the 13th century, East Prussia was part of the monastic state of the Teutonic Knights. After the Second Peace of Thorn in 1466 it became a fief of the Kingdom of Poland. In 1525, with the Prussian Homage, the province became the Duchy of Prussia. The Old Prussian language had become extinct by the 17th or early 18th century. \n\nBecause the duchy was outside of the core Holy Roman Empire, the prince-electors of Brandenburg were able to proclaim themselves King of Prussia beginning in 1701. After the annexation of most of western Royal Prussia in the First Partition of the Polish-Lithuanian Commonwealth in 1772, eastern (ducal) Prussia was connected by land with the rest of the Prussian state and was reorganized as a province the following year (1773). Between 1829 and 1878, the Province of East Prussia was joined with West Prussia to form the Province of Prussia.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63344\": \"When were the native Prussians conquered?\"\n },\n {\n \"63345\": \"by who?\"\n },\n {\n \"63346\": \"who survived?\"\n },\n {\n \"63347\": \"what were they converted to?\"\n },\n {\n \"63348\": \"Who was the dominant ethnic group?\"\n },\n {\n \"63349\": \"and the minority?\"\n },\n {\n \"63350\": \"why?\"\n },\n {\n \"63351\": \"When was the second peace of Thorn?\"\n },\n {\n \"63352\": \"What happened in 1525?\"\n },\n {\n \"63353\": \"What happened to the language?\"\n },\n {\n \"63354\": \"when?\"\n },\n {\n \"63355\": \"Was duchy in the core Holy Empire?\"\n },\n {\n \"63356\": \"what happened because of this?\"\n },\n {\n \"63357\": \"When did this start?\"\n },\n {\n \"63358\": \"When was eastern Prussia connected by land with the rest of the state?\"\n },\n {\n \"63359\": \"When was it recgonized?\"\n },\n {\n \"63360\": \"What forms Province of prussia?\"\n },\n {\n \"63361\": \"when did this happen?\"\n },\n {\n \"63362\": \"Who were the native Prussians defeated by?\"\n },\n {\n \"63363\": \"that was when?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63344\",\n \"answer\": \"During the 13th century\"\n },\n {\n \"question_id\": \"63345\",\n \"answer\": \"by the crusading Teutonic Knights\"\n },\n {\n \"question_id\": \"63346\",\n \"answer\": \"The indigenous Balts\"\n },\n {\n \"question_id\": \"63347\",\n \"answer\": \"Christianity\"\n },\n {\n \"question_id\": \"63348\",\n \"answer\": \"the Germans\"\n },\n {\n \"question_id\": \"63349\",\n \"answer\": \"Poles and Lithuanians\"\n },\n {\n \"question_id\": \"63350\",\n \"answer\": \"Because of Germanization and colonisation\"\n },\n {\n \"question_id\": \"63351\",\n \"answer\": \"1466\"\n },\n {\n \"question_id\": \"63352\",\n \"answer\": \"the province became the Duchy of Prussia\"\n },\n {\n \"question_id\": \"63353\",\n \"answer\": \"it became extinct\"\n },\n {\n \"question_id\": \"63354\",\n \"answer\": \"by the 17th or early 18th century\"\n },\n {\n \"question_id\": \"63355\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63356\",\n \"answer\": \"the prince-electors of Brandenburg were able to proclaim themselves King of Prussia\"\n },\n {\n \"question_id\": \"63357\",\n \"answer\": \"in 1701\"\n },\n {\n \"question_id\": \"63358\",\n \"answer\": \"in 1772\"\n },\n {\n \"question_id\": \"63359\",\n \"answer\": \"in 1773\"\n },\n {\n \"question_id\": \"63360\",\n \"answer\": \"the Province of East Prussia and West Prussia\"\n },\n {\n \"question_id\": \"63361\",\n \"answer\": \"Between 1829 and 1878\"\n },\n {\n \"question_id\": \"63362\",\n \"answer\": \"by the crusading Teutonic Knights\"\n },\n {\n \"question_id\": \"63363\",\n \"answer\": \"During the 13th century\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United States Department of Agriculture (USDA), also known as the Agriculture Department, is the U.S. federal executive department responsible for developing and executing federal laws related to farming, agriculture, forestry, and food. It aims to meet the needs of farmers and ranchers, promote agricultural trade and production, work to assure food safety, protect natural resources, foster rural communities and end hunger in the United States and internationally. \n\nApproximately 80% of the USDA's $140 billion budget goes to the Food and Nutrition Service (FNS) program. The largest component of the FNS budget is the Supplemental Nutrition Assistance Program (formerly known as the Food Stamp program), which is the cornerstone of USDA's nutrition assistance. \n\nAfter the resignation of Tom Vilsack on January 13, 2017, the Secretary of Agriculture is Sonny Perdue. \n\nMany of the programs concerned with the distribution of food and nutrition to people of America and providing nourishment as well as nutrition education to those in need are run and operated under the USDA Food and Nutrition Service. Activities in this program include the Supplemental Nutrition Assistance Program, which provides healthy food to over 40 million low-income and homeless people each month. USDA is a member of the United States Interagency Council on Homelessness, where it is committed to working with other agencies to ensure these mainstream benefits are accessed by those experiencing homelessness.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82117\": \"What does USDA stand for?\"\n },\n {\n \"82118\": \"What percentage of the USDA budget goes to FNS?\"\n },\n {\n \"82119\": \"What is the USDA also known as?\"\n },\n {\n \"82120\": \"is it responsible for executing federeal laws?\"\n },\n {\n \"82121\": \"relating to what?\"\n },\n {\n \"82122\": \"Whose needs does it try to meet?\"\n },\n {\n \"82123\": \"do they try to maintain the safety of food?\"\n },\n {\n \"82124\": \"Do they try to end hunger in the US?\"\n },\n {\n \"82125\": \"How much is the budget?\"\n },\n {\n \"82126\": \"What is the largest part of the budget?\"\n },\n {\n \"82127\": \"which includes what program?\"\n },\n {\n \"82128\": \"what did that used to be called?\"\n },\n {\n \"82129\": \"who is the sec of agriculture currently?\"\n },\n {\n \"82130\": \"who had that job before?\"\n },\n {\n \"82131\": \"was he fired?\"\n },\n {\n \"82132\": \"when did he resign?\"\n },\n {\n \"82133\": \"do they provide education?\"\n },\n {\n \"82134\": \"How many people are served each month?\"\n },\n {\n \"82135\": \"what council is it a part of?\"\n },\n {\n \"82136\": \"are the recipients wealthy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82117\",\n \"answer\": \"United States Department of Agriculture\"\n },\n {\n \"question_id\": \"82118\",\n \"answer\": \"Approximately 80%\"\n },\n {\n \"question_id\": \"82119\",\n \"answer\": \"the Agriculture Department\"\n },\n {\n \"question_id\": \"82120\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82121\",\n \"answer\": \"farming, agriculture, forestry, and food\"\n },\n {\n \"question_id\": \"82122\",\n \"answer\": \"farmers and ranchers\"\n },\n {\n \"question_id\": \"82123\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82124\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82125\",\n \"answer\": \"$140 billion\"\n },\n {\n \"question_id\": \"82126\",\n \"answer\": \"the FNS program\"\n },\n {\n \"question_id\": \"82127\",\n \"answer\": \"the Supplemental Nutrition Assistance Program\"\n },\n {\n \"question_id\": \"82128\",\n \"answer\": \"the Food Stamp program\"\n },\n {\n \"question_id\": \"82129\",\n \"answer\": \"Sonny Perdue\"\n },\n {\n \"question_id\": \"82130\",\n \"answer\": \"Tom Vilsack\"\n },\n {\n \"question_id\": \"82131\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82132\",\n \"answer\": \"January 13, 2017\"\n },\n {\n \"question_id\": \"82133\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82134\",\n \"answer\": \"over 40 million\"\n },\n {\n \"question_id\": \"82135\",\n \"answer\": \"the United States Interagency Council on Homelessness\"\n },\n {\n \"question_id\": \"82136\",\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 Country singer and songwriter Adrienne Young brings together music and agricultural activities.She even included seeds in the album cover of her first CD. \n\nAdrienne Young wants people to know that she supports the movement in America to increase local farming.She offers information about agricultural issues on her Web site.And now part of the moneyfrom her third and newest release, \"Room to Grow\",will be donated to help support community gardens. \n\nAdrienne Young's family has lived in Florida for seven generations.Her ancestors helped develop the agriculture industry there.The state of Florida is the nation's second largest producer of fruits and vegetables, 'after California. \n\nAdrienne Young has said that her interest in nature was shaped by the fact that she did not grow up on a farm.She grew up in a house her grandfather build on what had been farmland two generations ago.But the land was developed and was now part of a highway. \n\nAdrienne Young has teamed up with two organizations that support local farming and gardening efforts.One is the American Community Gardening Association.The other is FoodRoutes,a group she has represented for several years. \n\nFoodRoutes says buying locally grown food is not only about taste and freshness.The group says buying locally also helps to strengthen local economies and protect the environment.Exports say food in the United States travels all average of more than three thousand kilometers from farm to store.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44337\": \"where did she grow up?\"\n },\n {\n \"44338\": \"did she grow up on a farm?\"\n },\n {\n \"44339\": \"what information does she have on her site?\"\n },\n {\n \"44340\": \"who built the house?\"\n },\n {\n \"44341\": \"what will the money from her album go towards?\"\n },\n {\n \"44342\": \"how long ago was the house built?\"\n },\n {\n \"44343\": \"what was on her album?\"\n },\n {\n \"44344\": \"how far does food travel?\"\n },\n {\n \"44345\": \"who does she support?\"\n },\n {\n \"44346\": \"which organizations?\"\n },\n {\n \"44347\": \"how does buying local help?\"\n },\n {\n \"44348\": \"what did her ancestors do?\"\n },\n {\n \"44349\": \"what is the name of the latest album?\"\n },\n {\n \"44350\": \"how long has her family lived there?\"\n },\n {\n \"44351\": \"is Florida the largest producer?\"\n },\n {\n \"44352\": \"who is?\"\n },\n {\n \"44353\": \"what is produced?\"\n },\n {\n \"44354\": \"what happened to the land?\"\n },\n {\n \"44355\": \"how long has she been with foodroutes?\"\n },\n {\n \"44356\": \"what does she want people to know?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"44337\",\n \"answer\": \"FLorida\"\n },\n {\n \"question_id\": \"44338\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44339\",\n \"answer\": \"agricultural issues\"\n },\n {\n \"question_id\": \"44340\",\n \"answer\": \"her grandfather\"\n },\n {\n \"question_id\": \"44341\",\n \"answer\": \"community gardens\"\n },\n {\n \"question_id\": \"44342\",\n \"answer\": \"two generations ago\"\n },\n {\n \"question_id\": \"44343\",\n \"answer\": \"seeds\"\n },\n {\n \"question_id\": \"44344\",\n \"answer\": \"average of 3000 km\"\n },\n {\n \"question_id\": \"44345\",\n \"answer\": \"increasing local farming\"\n },\n {\n \"question_id\": \"44346\",\n \"answer\": \"American Community Gardening Association and FoodRoutes\"\n },\n {\n \"question_id\": \"44347\",\n \"answer\": \"strengthens local economies and protects the environment\"\n },\n {\n \"question_id\": \"44348\",\n \"answer\": \"developed Florida's agricultural industry\"\n },\n {\n \"question_id\": \"44349\",\n \"answer\": \"\\\"Room to Grow\\\"\"\n },\n {\n \"question_id\": \"44350\",\n \"answer\": \"seven generations\"\n },\n {\n \"question_id\": \"44351\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44352\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"44353\",\n \"answer\": \"fruits and vegetables\"\n },\n {\n \"question_id\": \"44354\",\n \"answer\": \"developed into a highway\"\n },\n {\n \"question_id\": \"44355\",\n \"answer\": \"several years\"\n },\n {\n \"question_id\": \"44356\",\n \"answer\": \"she supports local farming\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ISLAMABAD, Pakistan (CNN) -- Pakistani authorities have launched a massive crackdown on terror groups that they say were planning numerous suicide attacks, including in the country's largest city of Karachi. \n\nPakistan security officials show seized weapons and ammunition in Karachi on Sunday after the arrest of seven alleged militants. \n\nAt least 13 suspects were arrested Sunday and Monday, including three people carrying suicide jackets and explosives inside a bus station, a police official said. \n\nThe three were seized early Monday after police raided a bus station in Sargodha, a city located about 120 miles (190 km) south of Islamabad in Pakistan's Punjab province. \n\nThe suspects were plotting to attack two Shiite mosques, police stations, and a Norwegian telecommunications company in Punjab, according to district police officer Usman Anwar. Three other suspects linked to the plot were arrested hours later in Sargodha, he said. \n\nThose arrested early Monday included the Pakistani Taliban's chief in Punjab, according to Anwar. \n\nThe Taliban in Punjab have direct ties to Baitullah Mehsud, the former head of the Pakistan Taliban, and have been accused of sectarian murders in Punjab. Pakistan and U.S. officials contend Mehsud was killed in an August 5 drone attack in Waziristan at his father-in-law's house. The Taliban claim Mehsud is alive but ill. \n\nHakeemullah Mehsud has been selected as the new head of the Pakistani Taliban, a Taliban commander said Saturday. \n\nPakistani authorities also said they thwarted planned attacks in the southern port city of Karachi, Pakistan's largest city and the capital of Sindh province. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70938\": \"What was being prepared for?\"\n },\n {\n \"70939\": \"Arranged by whom?\"\n },\n {\n \"70940\": \"Is anyone trying to prevent them?\"\n },\n {\n \"70941\": \"Whom?\"\n },\n {\n \"70942\": \"What was the target?\"\n },\n {\n \"70943\": \"Was there anything else?\"\n },\n {\n \"70944\": \"Such as?\"\n },\n {\n \"70945\": \"And?\"\n },\n {\n \"70946\": \"Located where?\"\n },\n {\n \"70947\": \"Were they detained on Thursday?\"\n },\n {\n \"70948\": \"When then?\"\n },\n {\n \"70949\": \"Late in the day?\"\n },\n {\n \"70950\": \"Were they important to their cause?\"\n },\n {\n \"70951\": \"Such as?\"\n },\n {\n \"70952\": \"How many were detained?\"\n },\n {\n \"70953\": \"All of them on Monday?\"\n },\n {\n \"70954\": \"Sunday?\"\n },\n {\n \"70955\": \"Were they in the bus station when found?\"\n },\n {\n \"70956\": \"In what city?\"\n },\n {\n \"70957\": \"How far from islamabad?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70938\",\n \"answer\": \"Suicide attacks\"\n },\n {\n \"question_id\": \"70939\",\n \"answer\": \"Terror Groupsy say were planning numerous suicide attacks\"\n },\n {\n \"question_id\": \"70940\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70941\",\n \"answer\": \"Pakistani authorities\"\n },\n {\n \"question_id\": \"70942\",\n \"answer\": \"two Shiite mosques\"\n },\n {\n \"question_id\": \"70943\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70944\",\n \"answer\": \"Police stations,\"\n },\n {\n \"question_id\": \"70945\",\n \"answer\": \"A Norwegian telecommunications company\"\n },\n {\n \"question_id\": \"70946\",\n \"answer\": \"Punjab.\"\n },\n {\n \"question_id\": \"70947\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"70948\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"70949\",\n \"answer\": \"Early\"\n },\n {\n \"question_id\": \"70950\",\n \"answer\": \"Some\"\n },\n {\n \"question_id\": \"70951\",\n \"answer\": \"Taliban's chief in Punjab\"\n },\n {\n \"question_id\": \"70952\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"70953\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70954\",\n \"answer\": \"Sunday and Monday,\"\n },\n {\n \"question_id\": \"70955\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"70956\",\n \"answer\": \"Sargodha\"\n },\n {\n \"question_id\": \"70957\",\n \"answer\": \"120 miles\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 HAVERLEY FINANCES AND MRS. ROBINSON \n\n\"It bothers the head off of me,\" said Molly Tooney to Mike, as she sat eating her supper in the Cobhurst kitchen, \"to try to foind out what thim two upstairs is loike, anyway, 'specially her. I've been here nigh onto two weeks, now, and I don't know her no betther than when I fust come. For the life of me I can't make out whether she's a gal woman or a woman gal. Sometimes she's one and sometimes t'other. And then there's he. Why didn't he marry and settle before he took a house to himself? And in the two Sundays I've been here, nather of thim's been to church. If they knowed what was becomin' to thim, they'd behave like Christians, if they are heretics.\" \n\nMike sat at a little table in the corner of the kitchen with his back to Molly, eating his supper. He had enough of the Southern negro in him to make him dislike to eat with white people or to turn his face toward anybody while partaking of his meals. But he also had enough of a son of Erin in him to make him willing to talk whenever he had a chance. Turning his head a little, he asked, \"Now look a here, Molly; if a man's a heretic, how can he be a Christian?\" \n\n\"There's two kinds of heretics,\" said Molly, filling her great tea-cup for the fourth time, and holding the teapot so that the last drop of the strong decoction should trickle into the cup; \"Christian heretics and haythen heretics. You're one of the last koind yoursilf, Mike, for you never go nigh a church, except to whitewash the walls of it. And you'll never git no benefit to your own sowl, from Phoebe's boardin' the minister, nather. Take my word for that, Mike.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66894\": \"Where did Mike sit?\"\n },\n {\n \"66895\": \"What is the place like?\"\n },\n {\n \"66896\": \"Was there anyone else?\"\n },\n {\n \"66897\": \"Who?\"\n },\n {\n \"66898\": \"What he was doing?\"\n },\n {\n \"66899\": \"What geographical location influenced him?\"\n },\n {\n \"66900\": \"Is he presumably a black person?\"\n },\n {\n \"66901\": \"Did he like eating with white folks?\"\n },\n {\n \"66902\": \"Does it seem Molly is white?\"\n },\n {\n \"66903\": \"But does he like to talk if he gets a chance?\"\n },\n {\n \"66904\": \"From whom he got that habit?\"\n },\n {\n \"66905\": \"Did he eventually talk to her?\"\n },\n {\n \"66906\": \"Did he question a person's belief if that person was a heretic?\"\n },\n {\n \"66907\": \"Which specific belief system he was talking about?\"\n },\n {\n \"66908\": \"According to her how many types of heretics are there?\"\n },\n {\n \"66909\": \"What are they?\"\n },\n {\n \"66910\": \"What category she put him in?\"\n },\n {\n \"66911\": \"Did he ever go to the church?\"\n },\n {\n \"66912\": \"For what reason?\"\n },\n {\n \"66913\": \"Did he ever say his prayer there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66894\",\n \"answer\": \"at a little table\"\n },\n {\n \"question_id\": \"66895\",\n \"answer\": \"kitchen\"\n },\n {\n \"question_id\": \"66896\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66897\",\n \"answer\": \"Molly\"\n },\n {\n \"question_id\": \"66898\",\n \"answer\": \"eating\"\n },\n {\n \"question_id\": \"66899\",\n \"answer\": \"South\"\n },\n {\n \"question_id\": \"66900\",\n \"answer\": \"Southern negro in him\"\n },\n {\n \"question_id\": \"66901\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66902\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66903\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66904\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"66905\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66906\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66907\",\n \"answer\": \"Christianity\"\n },\n {\n \"question_id\": \"66908\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"66909\",\n \"answer\": \"Christian heretics and haythen heretics\"\n },\n {\n \"question_id\": \"66910\",\n \"answer\": \"haythen heretics\"\n },\n {\n \"question_id\": \"66911\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66912\",\n \"answer\": \"to whitewash the walls\"\n },\n {\n \"question_id\": \"66913\",\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 Hollywood is a neighborhood in the central region of Los Angeles, California. This ethnically diverse, densely populated neighborhood is notable as the home of the U.S. film industry, including several of its historic studios, and its name has come to be a shorthand reference for the industry and the people in it. \n\nHollywood was a small community in 1870 and was incorporated as a municipality in 1903. It was consolidated with the city of Los Angeles in 1910, and soon thereafter a prominent film industry emerged, eventually becoming the most recognizable film industry in the world. \n\nIn 1853, one adobe hut stood in Nopalera (Nopal field), named for the Mexican Nopal cactus indigenous to the area. By 1870, an agricultural community flourished. The area was known as the Cahuenga Valley, after the pass in the Santa Monica Mountains immediately to the north. \n\nAccording to the diary of H. J. Whitley, known as the \"Father of Hollywood,\" on his honeymoon in 1886 he stood at the top of the hill looking out over the valley. Along came a Chinese man in a wagon carrying wood. The man got out of the wagon and bowed. The Chinese man was asked what he was doing and replied, \"I holly-wood,\" meaning 'hauling wood.' H. J. Whitley had an epiphany and decided to name his new town Hollywood. \"Holly\" would represent England and \"wood\" would represent his Scottish heritage. Whitley had already started over 100 towns across the western United States.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4188\": \"What city is Hollywood in?\"\n },\n {\n \"4189\": \"In what state?\"\n },\n {\n \"4190\": \"When was Hollywood incorporated?\"\n },\n {\n \"4191\": \"When did it merge with L.A.?\"\n },\n {\n \"4192\": \"What industry is it known for?\"\n },\n {\n \"4193\": \"Does it have many studios?\"\n },\n {\n \"4194\": \"What was the area known as in 1870?\"\n },\n {\n \"4195\": \"Named after what?\"\n },\n {\n \"4196\": \"Where is the mountains from the town?\"\n },\n {\n \"4197\": \"Who named Hollywood?\"\n },\n {\n \"4198\": \"What is he known as?\"\n },\n {\n \"4199\": \"Who gave him the idea for the name?\"\n },\n {\n \"4200\": \"What was the man doing?\"\n },\n {\n \"4201\": \"With what?\"\n },\n {\n \"4202\": \"When did this all happen?\"\n },\n {\n \"4203\": \"Did Whitley record these events?\"\n },\n {\n \"4204\": \"Where?\"\n },\n {\n \"4205\": \"Is this the first city he named or founded?\"\n },\n {\n \"4206\": \"How many others?\"\n },\n {\n \"4207\": \"Where?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4188\",\n \"answer\": \"Los Angeles\"\n },\n {\n \"question_id\": \"4189\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"4190\",\n \"answer\": \"1903\"\n },\n {\n \"question_id\": \"4191\",\n \"answer\": \"1910\"\n },\n {\n \"question_id\": \"4192\",\n \"answer\": \"film\"\n },\n {\n \"question_id\": \"4193\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4194\",\n \"answer\": \"Cahuenga Valley\"\n },\n {\n \"question_id\": \"4195\",\n \"answer\": \"the pass in the Santa Monica Mountains\"\n },\n {\n \"question_id\": \"4196\",\n \"answer\": \"to the north\"\n },\n {\n \"question_id\": \"4197\",\n \"answer\": \"H.\\u00a0J. Whitley\"\n },\n {\n \"question_id\": \"4198\",\n \"answer\": \"the Father of Hollywood\"\n },\n {\n \"question_id\": \"4199\",\n \"answer\": \"a Chinese man\"\n },\n {\n \"question_id\": \"4200\",\n \"answer\": \"hauling wood\"\n },\n {\n \"question_id\": \"4201\",\n \"answer\": \"a wagon\"\n },\n {\n \"question_id\": \"4202\",\n \"answer\": \"1886\"\n },\n {\n \"question_id\": \"4203\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4204\",\n \"answer\": \"in a diary\"\n },\n {\n \"question_id\": \"4205\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4206\",\n \"answer\": \"over 100\"\n },\n {\n \"question_id\": \"4207\",\n \"answer\": \"the western United States\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Serbia will face France in the final of the Davis Cup after a tense 3-2 semifinal victory over the Czech Republic in front of a passionate home support in Belgrade. \n\nThe Czechs led 2-1 after winning Saturday's doubles rubber, meaning the hosts had to claim victory in both reverse singles to secure their first-ever appearance in the final. \n\nWorld number two Novak Djokovic, who missed Friday's opening singles with a stomach complaint, drew the two nations level at 2-2 when he recovered from the loss of the opening set to defeat Czech No.1 Tomas Berdych 4-6 6-3 6-2 6-4. \n\nIt completed a miserable weekend for Wimbledon finalist Berdych, who lost both of his singles rubbers. \n\nThat result means Janko Tipsarevic had to defeat the previously unbeaten Radek Stepanek to seal Serbia's final place and he did just that, winning 6-0 7-6 6-4 to send the 15,000 home supporters into raptures. \n\nThere was less drama in the other semifinal, where France completed their domination over Argentina with a 5-0 whitewash victory in Lyon. \n\nThe French led 3-0 going into the final day, meaning nothing rested on the results of the reverse singles rubbers. \n\nHowever, Gilles Simon's 7-6 6-7 6-3 defeat of Eduardo Schwank meant the whitewash became a possibility -- and it was completed when Arnaud Clement beat Horacio Zeballos 7-5 6-1. \n\nThe victory ensures France, who dumped out holders Spain in the previous round, reached their first Davis Cup final since 2002. \n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74975\": \"Who will face off in the Davis Cup final?\"\n },\n {\n \"74976\": \"Who did France beat to get there?\"\n },\n {\n \"74977\": \"When was the last time they were in the final?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74975\",\n \"answer\": \"Serbia will face France\"\n },\n {\n \"question_id\": \"74976\",\n \"answer\": \"Czech Republic\"\n },\n {\n \"question_id\": \"74977\",\n \"answer\": \"Never\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XX \n\nTHE BULLY LEAVES PUTNAM HALL \n\n\"So you wish to see me, Rover? Very well, come right in and sit down,\" said Captain Putnam, who sat in front of his desk, making up some of his accounts for the month just past. \n\nTom came in and sat down. It must be confessed he was a trifle nervous, but this soon wore away. \n\n\"I came to tell you something and to ask your advice,\" he began. \"You remember what happened to me when I ran away into the woods just after arriving at the Hall?\" \n\n\"Very well, Thomas,\" and the captain smiled. \n\n\"Well, when Sam and I went to Cedarville to buy our skates we saw Dan Baxter in the tavern there, in company with the man with a scar on his chin. This man gave Baxter some bank bills.\" \n\n\"What! At the tavern?\" \n\n\"Yes, Sir.\" \n\n\"Please tell your story in detail, Rover,\" and now Captain Putnam swung around so that he might get a full view of his pupil's face. \n\nAnd Tom told his story from beginning to end just as I have set it down in the foregoing pages. \n\n\"I am certain this man is some relative of Baxter,\" he concluded. \"And I am equally certain he is not an honest fellow.\" \n\n\"Humph!\" Captain Putnam arose and began to pace the heavily carpeted floor. \"Rover, this is a serious charge.\" \n\n\"I understand that, Sir. But you can't blame us boys for trying to get back Dick's watch and trying to--to--\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9608\": \"What was Captain Putnam doing when he saw Rover?\"\n },\n {\n \"9609\": \"did he speak with him?\"\n },\n {\n \"9610\": \"How did Rover feel about speaking with him?\"\n },\n {\n \"9611\": \"What did he want to ask?\"\n },\n {\n \"9612\": \"Who is Tom?\"\n },\n {\n \"9613\": \"Is Tom and Rover the same person?\"\n },\n {\n \"9614\": \"where did Tom and Sam go?\"\n },\n {\n \"9615\": \"for what?\"\n },\n {\n \"9616\": \"Was the Captain interested in the story?\"\n },\n {\n \"9617\": \"Who did the boys see in Cederville?\"\n },\n {\n \"9618\": \"anyone else?\"\n },\n {\n \"9619\": \"does belkieve he is a good man?\"\n },\n {\n \"9620\": \"where did they see the men?\"\n },\n {\n \"9621\": \"what did he see?\"\n },\n {\n \"9622\": \"Was this serious?\"\n },\n {\n \"9623\": \"What were the boys trying to get back?\"\n },\n {\n \"9624\": \"Did he feel he was to blame?\"\n },\n {\n \"9625\": \"Where was the captain when Tom first arrived in his office?\"\n },\n {\n \"9626\": \"did he tell the whole story?\"\n },\n {\n \"9627\": \"who was a relative of Baxter?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9608\",\n \"answer\": \"making up some of his accounts for the month just past.\"\n },\n {\n \"question_id\": \"9609\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9610\",\n \"answer\": \"he was a trifle nervous\"\n },\n {\n \"question_id\": \"9611\",\n \"answer\": \"his advice\"\n },\n {\n \"question_id\": \"9612\",\n \"answer\": \"his pupil\"\n },\n {\n \"question_id\": \"9613\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9614\",\n \"answer\": \"Cedarville\"\n },\n {\n \"question_id\": \"9615\",\n \"answer\": \"to buy skates\"\n },\n {\n \"question_id\": \"9616\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9617\",\n \"answer\": \"Dan Baxter\"\n },\n {\n \"question_id\": \"9618\",\n \"answer\": \"the man with a scar on his chin.\"\n },\n {\n \"question_id\": \"9619\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9620\",\n \"answer\": \"the tavern\"\n },\n {\n \"question_id\": \"9621\",\n \"answer\": \"This man gave Baxter some bank bills\"\n },\n {\n \"question_id\": \"9622\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9623\",\n \"answer\": \"Dick's watch\"\n },\n {\n \"question_id\": \"9624\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9625\",\n \"answer\": \"in front of his desk\"\n },\n {\n \"question_id\": \"9626\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9627\",\n \"answer\": \"the man with a scar on his chin\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Peng Xianzhe learned he would go to the Mashan School in Guizhou. The 16-year-old boy tried to imagine how serious the drought was for the students at that school. However, he realized it was more serious than he had imagined when he saw the sign \"DON'T wash clothes with water,or you will be punished . \" Because of drought, the school has been short of water for a long time. Each student has only one bottle of water every day for washing and drinking. The drought has made the poor students much poorer. Peng is a student from Beijing Chaoyang Foreign Language School. He took part in the school's Rain & Bow Project from April 2 to 10. The project idea came from Peng's principal . One day, she heard a sad story about Li Guoxian, a poor girl in the Mashan School,who stopped going to school because of drought. The principal started this project to help the school. In one day, 3,000 students made over 10,000 donations of water,books and clothes. Peng and other four students went to the Mashan School and gave the donations with five teachers. They visited poor families, made surveys and had classes at the school. Ding Zhentao,16,was worried about the school's poor learning environment. \"The blackboards and playground are too _ to use,\"Ding said. \"Besides, there really aren't enough teachers. A teacher has to teach both history and English, and even the cook is a class teacher. \" Although life isn't easy, students at the school have a positive attitude towards life and they are quite willing to learn. That's what moved 16-year-old Chen Shi most. \"They sang their songs together as usual before class every afternoon. After class, the students asked us to tell them things about Beijing and our studies,\" Chen said. \"You can see the passion in them. I believe it will make a difference. Their futures will be bright. \" ,.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78624\": \"What was collected as donations?\"\n },\n {\n \"78625\": \"How many were collected?\"\n },\n {\n \"78626\": \"Who donated that much?\"\n },\n {\n \"78627\": \"Why did they start collecting these donations?\"\n },\n {\n \"78628\": \"Who started the students donating?\"\n },\n {\n \"78629\": \"What school did they take the donations to?\"\n },\n {\n \"78630\": \"What other problems did they have?\"\n },\n {\n \"78631\": \"Why was it like that?\"\n },\n {\n \"78632\": \"Where did they bring the donations from?\"\n },\n {\n \"78633\": \"Did they speak to the students afterward?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78624\",\n \"answer\": \"water,books and clothes\"\n },\n {\n \"question_id\": \"78625\",\n \"answer\": \"10,000\"\n },\n {\n \"question_id\": \"78626\",\n \"answer\": \"3,000 students\"\n },\n {\n \"question_id\": \"78627\",\n \"answer\": \"a poor girl in the Mashan School stopped going to school because of drought\"\n },\n {\n \"question_id\": \"78628\",\n \"answer\": \"Peng's principal\"\n },\n {\n \"question_id\": \"78629\",\n \"answer\": \"the Mashan School\"\n },\n {\n \"question_id\": \"78630\",\n \"answer\": \"poor learning environment\"\n },\n {\n \"question_id\": \"78631\",\n \"answer\": \"there really aren't enough teachers\"\n },\n {\n \"question_id\": \"78632\",\n \"answer\": \"Beijing Chaoyang Foreign Language School\"\n },\n {\n \"question_id\": \"78633\",\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 XX. THE JUDGMENT SUNDAY \n\nSunday morning broke, dull and gray. The rain had ceased, but the clouds hung dark and brooding above a world which, in its windless calm, following the spent storm-throe, seemed to us to be waiting \"till judgment spoke the doom of fate.\" We were all up early. None of us, it appeared, had slept well, and some of us not at all. The Story Girl had been among the latter, and she looked very pale and wan, with black shadows under her deep-set eyes. Peter, however, had slept soundly enough after twelve o'clock. \n\n\"When you've been stumping out elderberries all the afternoon it'll take more than the Judgment Day to keep you awake all night,\" he said. \"But when I woke up this morning it was just awful. I'd forgot it for a moment, and then it all came back with a rush, and I was worse scared than before.\" \n\nCecily was pale but brave. For the first time in years she had not put her hair up in curlers on Saturday night. It was brushed and braided with Puritan simplicity. \n\n\"If it's the Judgment Day I don't care whether my hair is curly or not,\" she said. \n\n\"Well,\" said Aunt Janet, when we all descended to the kitchen, \"this is the first time you young ones have ever all got up without being called, and that's a fact.\" \n\nAt breakfast our appetites were poor. How could the grown-ups eat as they did? After breakfast and the necessary chores there was the forenoon to be lived through. Peter, true to his word, got out his Bible and began to read from the first chapter in Genesis. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49936\": \"What day did they believe it to be?\"\n },\n {\n \"49937\": \"What did they think happened on Judgement day?\"\n },\n {\n \"49938\": \"What day of the week was it?\"\n },\n {\n \"49939\": \"Was it raining?\"\n },\n {\n \"49940\": \"Had anyone slept well?\"\n },\n {\n \"49941\": \"What had he been doing?\"\n },\n {\n \"49942\": \"Why was he so sleepy?\"\n },\n {\n \"49943\": \"Was he scared about Judgement day?\"\n },\n {\n \"49944\": \"What did Cecily do differently that day?\"\n },\n {\n \"49945\": \"Why?\"\n },\n {\n \"49946\": \"Was everyone starving at breakfast?\"\n },\n {\n \"49947\": \"What did they do after breakfast?\"\n },\n {\n \"49948\": \"Were the children often up that early?\"\n },\n {\n \"49949\": \"Who was awake before them?\"\n },\n {\n \"49950\": \"What book did Peter read from?\"\n },\n {\n \"49951\": \"What part?\"\n },\n {\n \"49952\": \"Did the Story Girl look well rested?\"\n },\n {\n \"49953\": \"What did she look like?\"\n },\n {\n \"49954\": \"Did she have dark circles under her eyes?\"\n },\n {\n \"49955\": \"How was Cecily's hair styled?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49936\",\n \"answer\": \"Judgment Day\"\n },\n {\n \"question_id\": \"49937\",\n \"answer\": \"spoke the doom of fate\"\n },\n {\n \"question_id\": \"49938\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"49939\",\n \"answer\": \"yes but stopped\"\n },\n {\n \"question_id\": \"49940\",\n \"answer\": \"no except Peter\"\n },\n {\n \"question_id\": \"49941\",\n \"answer\": \"slept soundly enough after twelve o'cloc\"\n },\n {\n \"question_id\": \"49942\",\n \"answer\": \"stumping out elderberries\"\n },\n {\n \"question_id\": \"49943\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49944\",\n \"answer\": \"had not put her hair up in curlers\"\n },\n {\n \"question_id\": \"49945\",\n \"answer\": \"she didn't care\"\n },\n {\n \"question_id\": \"49946\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49947\",\n \"answer\": \"necessary chores\"\n },\n {\n \"question_id\": \"49948\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49949\",\n \"answer\": \"The Story Girl\"\n },\n {\n \"question_id\": \"49950\",\n \"answer\": \"Bible\"\n },\n {\n \"question_id\": \"49951\",\n \"answer\": \"first chapter in Genesis\"\n },\n {\n \"question_id\": \"49952\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49953\",\n \"answer\": \"very pale and wan\"\n },\n {\n \"question_id\": \"49954\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49955\",\n \"answer\": \"brushed and braided\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n There was a big race in town. Stephanie and Sarah were friends. Stephanie was faster than Sarah. On the day of the race, they wished each other good luck. Sarah tripped on a rock during the race. She cried but another one of her friends, Matt, helped her stand up. Stephanie cheered for her to finish after she crossed the line. \n\nOn the next day Sarah came into school with a bruise on her knee. Jane thought she looked silly. They were in the same class. Jane did not make fun of Sarah. She gave her a bandage instead. It had a cat on it to match Sarah's shirt. \n\nSarah was still unhappy. She would not eat her lunch or play at recess. When Stephanie tried to talk to her she frowned. Then Stephanie gave Sarah a bunny toy that she liked. Sarah smiled. She gave Stephanie a hug.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97172\": \"How do Sarah and Stephanie know each other?\"\n },\n {\n \"97173\": \"Are the females adults?\"\n },\n {\n \"97174\": \"What item injured Sarah?\"\n },\n {\n \"97175\": \"What type of injury was it?\"\n },\n {\n \"97176\": \"Where on the body?\"\n },\n {\n \"97177\": \"What design was on the bandage?\"\n },\n {\n \"97178\": \"What other item had a similar design?\"\n },\n {\n \"97179\": \"Which girl crossed the finish line first?\"\n },\n {\n \"97180\": \"Were the girls cordial to each other?\"\n },\n {\n \"97181\": \"Was Jane cruel?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97172\",\n \"answer\": \"They were friends already\"\n },\n {\n \"question_id\": \"97173\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97174\",\n \"answer\": \"A rock.\"\n },\n {\n \"question_id\": \"97175\",\n \"answer\": \"A bruise\"\n },\n {\n \"question_id\": \"97176\",\n \"answer\": \"Her knee\"\n },\n {\n \"question_id\": \"97177\",\n \"answer\": \"It was a cat\"\n },\n {\n \"question_id\": \"97178\",\n \"answer\": \"Her shirt.\"\n },\n {\n \"question_id\": \"97179\",\n \"answer\": \"Stephanie\"\n },\n {\n \"question_id\": \"97180\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97181\",\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 Maria was a teacher at a small school in Arizona. Maria had worked in the past at schools in California, Texas, and Vermont, but had to leave these schools because the school in Arizona was perfect for her dream job. When she moved to Arizona she found a small little one bedroom house that fit her perfectly. The house was on the top floor of another building, owned by another teacher. In her house was a bed, dresser, table and telephone. Nothing else came with the house. So Maria wanted to go shopping with her new teacher friend. So they went down to the mall to buy things for her new house. First she wanted to look for some chairs to go with her table. Then she wanted to find a TV for her living room and a TV for her bedroom. Last she wanted to find a big comfy couch for her living room. When she got to the couch store she had a few different choices. She could buy the biggest couch they had but would go over her limit, it was black. She could buy the middle couch right at her limit, which was brown. Or she could buy the smallest couch well under her limit, but was not a very good color, red. Maria went with the middle couch knowing she would not like the color of the smaller one even if it was least expensive. Maria then had to choose if she wanted them to deliver her couch or if she would pick it up. Knowing she had only a small car she went with the deliver choice. She also had to choose if she wanted them to set up the couch for her or for her to set it up herself. She went with them setting it up since they would be there to deliver it anyway. Maria loved her new house and job.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18946\": \"Who was Maria?\"\n },\n {\n \"18947\": \"Where?\"\n },\n {\n \"18948\": \"Where was that?\"\n },\n {\n \"18949\": \"Where else did she work?\"\n },\n {\n \"18950\": \"Why did she leave?\"\n },\n {\n \"18951\": \"Did she move there?\"\n },\n {\n \"18952\": \"Where did she live?\"\n },\n {\n \"18953\": \"Was it right for her?\"\n },\n {\n \"18954\": \"Where was it?\"\n },\n {\n \"18955\": \"Who owned it?\"\n },\n {\n \"18956\": \"What was in there?\"\n },\n {\n \"18957\": \"Anything else?\"\n },\n {\n \"18958\": \"What did Maria want to do?\"\n },\n {\n \"18959\": \"with who?\"\n },\n {\n \"18960\": \"Where did they go?\"\n },\n {\n \"18961\": \"for what?\"\n },\n {\n \"18962\": \"What did she do first?\"\n },\n {\n \"18963\": \"to go with what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18946\",\n \"answer\": \"a teacher\"\n },\n {\n \"question_id\": \"18947\",\n \"answer\": \"at a small school\"\n },\n {\n \"question_id\": \"18948\",\n \"answer\": \"Arizona\"\n },\n {\n \"question_id\": \"18949\",\n \"answer\": \"California, Texas, and Vermont,\"\n },\n {\n \"question_id\": \"18950\",\n \"answer\": \"because the school in Arizona was perfect for her dream job.\"\n },\n {\n \"question_id\": \"18951\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18952\",\n \"answer\": \"a small little one bedroom house\"\n },\n {\n \"question_id\": \"18953\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18954\",\n \"answer\": \"the top floor of another building\"\n },\n {\n \"question_id\": \"18955\",\n \"answer\": \"another teacher.\"\n },\n {\n \"question_id\": \"18956\",\n \"answer\": \"a bed, dresser, table and telephone\"\n },\n {\n \"question_id\": \"18957\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18958\",\n \"answer\": \"go shopping\"\n },\n {\n \"question_id\": \"18959\",\n \"answer\": \"her new teacher friend.\"\n },\n {\n \"question_id\": \"18960\",\n \"answer\": \"the mall\"\n },\n {\n \"question_id\": \"18961\",\n \"answer\": \"to buy things for her new house\"\n },\n {\n \"question_id\": \"18962\",\n \"answer\": \"looked for some chairs\"\n },\n {\n \"question_id\": \"18963\",\n \"answer\": \"her table.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 International Atomic Energy Agency (IAEA) is an international organization that seeks to promote the peaceful use of nuclear energy, and to inhibit its use for any military purpose, including nuclear weapons. The IAEA was established as an autonomous organisation on 29 July 1957. Though established independently of the United Nations through its own international treaty, the IAEA Statute, the IAEA reports to both the United Nations General Assembly and Security Council. \n\nThe IAEA has its headquarters in Vienna. The IAEA has two \"Regional Safeguards Offices\" which are located in Toronto, Canada, and in Tokyo, Japan. The IAEA also has two liaison offices which are located in New York City, United States, and in Geneva, Switzerland. In addition, the IAEA has three laboratories located in Vienna and Seibersdorf, Austria, and in Monaco. \n\nThe IAEA serves as an intergovernmental forum for scientific and technical co-operation in the peaceful use of nuclear technology and nuclear power worldwide. The programs of the IAEA encourage the development of the peaceful applications of nuclear technology, provide international safeguards against misuse of nuclear technology and nuclear materials, and promote nuclear safety (including radiation protection) and nuclear security standards and their implementation. \n\nThe IAEA and its former Director General, Mohamed ElBaradei, were jointly awarded the Nobel Peace Prize on 7 October 2005. The IAEA's current Director General is Yukiya Amano.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36221\": \"where is The IAEA headquarters?\"\n },\n {\n \"36222\": \"what does IAEA stand for?\"\n },\n {\n \"36223\": \"when was it started?\"\n },\n {\n \"36224\": \"what do their programs encourage?\"\n },\n {\n \"36225\": \"what do they promote?\"\n },\n {\n \"36226\": \"what happened on 7 October 2005?\"\n },\n {\n \"36227\": \"who does the group report to?\"\n },\n {\n \"36228\": \"what groups of the United Nations?\"\n },\n {\n \"36229\": \"who is the IAEA current leader?\"\n },\n {\n \"36230\": \"where are the 2 regional offices?\"\n },\n {\n \"36231\": \"where are the labs?\"\n },\n {\n \"36232\": \"do they have other offices?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36221\",\n \"answer\": \"Vienna.\"\n },\n {\n \"question_id\": \"36222\",\n \"answer\": \"International Atomic Energy Agency.\"\n },\n {\n \"question_id\": \"36223\",\n \"answer\": \"29 July 1957.\"\n },\n {\n \"question_id\": \"36224\",\n \"answer\": \"The peaceful use of nuclear energy.\"\n },\n {\n \"question_id\": \"36225\",\n \"answer\": \"Nuclear safety.\"\n },\n {\n \"question_id\": \"36226\",\n \"answer\": \"The IAEA and its former Director General, Mohamed ElBaradei, were jointly awarded the Nobel Peace Prize.\"\n },\n {\n \"question_id\": \"36227\",\n \"answer\": \"The United Nations.\"\n },\n {\n \"question_id\": \"36228\",\n \"answer\": \"The General Assembly and Security Council.\"\n },\n {\n \"question_id\": \"36229\",\n \"answer\": \"Yukiya Amano.\"\n },\n {\n \"question_id\": \"36230\",\n \"answer\": \"Toronto, Canada, and Tokyo, Japan.\"\n },\n {\n \"question_id\": \"36231\",\n \"answer\": \"Vienna, Seibersdorf, Austria, and in Monaco.\"\n },\n {\n \"question_id\": \"36232\",\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) -- A second former co-owner of the California slaughterhouse involved in a recall of nearly nine million pounds of meat was charged with knowingly processing and distributing meat from cancerous cows, court documents released this week say. \n\nRobert Singleton, co-owner of the Rancho Feeding Corporation in Petaluma, was primarily responsible for purchasing cattle and loading shipments for distribution, prosecutors say. \n\nHe is charged with distributing \"adulterated, misbranded, and uninspected\" meat, according to the documents. \n\nSingleton jointly owned the meat plant with Jesse J. Amaral Jr., the former president and general manager who is also known as also known as \"Babe Amaral.\" \n\nAmaral and his former employees, Felix Sandoval Cabrera and Eugene Corda, have all been charged with unlawful sale and distribution of contaminated meat. \n\nProsecutors allege that Amaral and Singleton directed Corda and Cabrera to circumvent inspection procedures for certain cows with signs of epithelioma of the eye, also known as \"cancer eye.\" \n\nWhile Singleton is accused of knowingly purchasing cattle with signs of epithelioma, Amaral allegedly directed employees to carve \"USDA Condemned\" stamps out of certain cow carcasses and to process them for sale and distribution, despite having been rejected by the U.S. Department of Agriculture veterinarian. \n\nAmaral is also charged with sending false invoices to farmers, telling them that their cattle had died or been condemned and charging them \"handling fees\" for disposal of the carcasses, instead of compensating them for the sale price, prosecutors said. \n\nIf convicted, Singleton faces up to three years imprisonment, with one year of supervised release, and a $10,000 fine. Amaral, Cabrera and Corda could receive up to 20 years in prison and $250,000 in fines. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39583\": \"Name an owner being accused?\"\n },\n {\n \"39584\": \"What company is he with?\"\n },\n {\n \"39585\": \"What did he allegedly distribute?\"\n },\n {\n \"39586\": \"What was wrong with it?\"\n },\n {\n \"39587\": \"what else?\"\n },\n {\n \"39588\": \"And?\"\n },\n {\n \"39589\": \"Who was his partner?\"\n },\n {\n \"39590\": \"A.k.a.?\"\n },\n {\n \"39591\": \"What was one of his positions?\"\n },\n {\n \"39592\": \"And?\"\n },\n {\n \"39593\": \"Were any others facing charges?\"\n },\n {\n \"39594\": \"How many?\"\n },\n {\n \"39595\": \"Name one.\"\n },\n {\n \"39596\": \"And the other?\"\n },\n {\n \"39597\": \"What disease did the cows that Singleton purchased allegedly have?\"\n },\n {\n \"39598\": \"A.k.a.?\"\n },\n {\n \"39599\": \"What fake documents were forwarded by Amaral?\"\n },\n {\n \"39600\": \"To who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39583\",\n \"answer\": \"Robert Singleton\"\n },\n {\n \"question_id\": \"39584\",\n \"answer\": \"Rancho Feeding Corporation\"\n },\n {\n \"question_id\": \"39585\",\n \"answer\": \"meat,\"\n },\n {\n \"question_id\": \"39586\",\n \"answer\": \"adulterated\"\n },\n {\n \"question_id\": \"39587\",\n \"answer\": \"misbranded\"\n },\n {\n \"question_id\": \"39588\",\n \"answer\": \"uninspected\"\n },\n {\n \"question_id\": \"39589\",\n \"answer\": \"Jesse J. Amaral Jr\"\n },\n {\n \"question_id\": \"39590\",\n \"answer\": \"Babe Amaral.\"\n },\n {\n \"question_id\": \"39591\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"39592\",\n \"answer\": \"general manager\"\n },\n {\n \"question_id\": \"39593\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39594\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"39595\",\n \"answer\": \"Felix Sandoval Cabrera\"\n },\n {\n \"question_id\": \"39596\",\n \"answer\": \"Eugene Corda\"\n },\n {\n \"question_id\": \"39597\",\n \"answer\": \"epithelioma\"\n },\n {\n \"question_id\": \"39598\",\n \"answer\": \"cancer eye\"\n },\n {\n \"question_id\": \"39599\",\n \"answer\": \"invoices\"\n },\n {\n \"question_id\": \"39600\",\n \"answer\": \"farmers\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n James is going to the baseball field with his friend Tommy. \n\nJames has to practice because baseball season starts in a week. \n\nHe wants to be a good player when the season starts. \n\nJames has been lazy in practicing so he is not very good at baseball right now. \n\nHe has to make up for it by playing baseball for 5 hours every day for a week. \n\nJames thinks this is enough practice for him to catch up and be a good player when the season starts. \n\nSo James and Tommy practice every day. They throw the ball around. They practice batting and they practice fielding. \n\nTommy begins to see that James is getting better every day. He says \"I do not believe it, James, but I think you are going to be pretty good when the season starts!\" \n\nUsually a week is not enough time to get pretty good at baseball but James is practicing so much he is fitting a month of practice into one week. \n\nThen James has a setback. His glove rips during practice. He can't keep playing with a broken glove! \n\nSo Tommy and James go around town collecting bottles to trade in for five cents for each bottle. \n\nJames misses a day of practicing but they find enough bottles to turn in for thirty dollars. \n\nThis is enough money for James to buy a new glove! \n\nSo James buys a new glove and he and Tommy go back to the field and practice some more. \n\nBy the time the season comes James is one of the best players on his team.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13274\": \"Where was James going?\"\n },\n {\n \"13275\": \"Who with?\"\n },\n {\n \"13276\": \"Why were they going their?\"\n },\n {\n \"13277\": \"When did their season start?\"\n },\n {\n \"13278\": \"Is james a good player?\"\n },\n {\n \"13279\": \"Does he want to be?\"\n },\n {\n \"13280\": \"What is he going to do to improve?\"\n },\n {\n \"13281\": \"What do they do to practice?\"\n },\n {\n \"13282\": \"Does this help james get better?\"\n },\n {\n \"13283\": \"Does Tommy notice?\"\n },\n {\n \"13284\": \"Does he tell him so?\"\n },\n {\n \"13285\": \"Did he have any set backs?\"\n },\n {\n \"13286\": \"What was it?\"\n },\n {\n \"13287\": \"Did they do anything to fix this?\"\n },\n {\n \"13288\": \"What was it?\"\n },\n {\n \"13289\": \"How much did they make collecting them?\"\n },\n {\n \"13290\": \"Was it enough money for a new glove?\"\n },\n {\n \"13291\": \"What did they do after they bought the new glove?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13274\",\n \"answer\": \"the baseball field\"\n },\n {\n \"question_id\": \"13275\",\n \"answer\": \"his friend Tommy.\"\n },\n {\n \"question_id\": \"13276\",\n \"answer\": \"to practice baseball\"\n },\n {\n \"question_id\": \"13277\",\n \"answer\": \"in a week\"\n },\n {\n \"question_id\": \"13278\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13279\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13280\",\n \"answer\": \"practicing 5 hours a day for a week\"\n },\n {\n \"question_id\": \"13281\",\n \"answer\": \"They throw the ball around. They practice batting and they practice fielding\"\n },\n {\n \"question_id\": \"13282\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13283\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13284\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13285\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13286\",\n \"answer\": \"a broken glove\"\n },\n {\n \"question_id\": \"13287\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13288\",\n \"answer\": \"To collect bottle caps?\"\n },\n {\n \"question_id\": \"13289\",\n \"answer\": \"thirty dollars\"\n },\n {\n \"question_id\": \"13290\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13291\",\n \"answer\": \"Practiced more\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Bob woke up to go to his first day of school on Monday. He woke up to his dog barking at him. His parents gave him a ride to school. When he arrived at school, he went to his first class which was gym class. In gym class, his gym teacher made him run laps around the track because he had been late to class. After he had ran his laps, he played baseball with his friends. Bob had wanted to play kickball or basketball, but his friends had chosen to play baseball. After gym class was over, he went to English class. In English class, he read a story about a lady who had fallen in love with a kitty. One day the kitty jumped out of the window in the lady's house and never came back. The lady was sad and wondered why her kitty would leave her. Bob was very moved by the story. After English class was over, he went to his third class of the day which was math. Bob kept quiet in his math class because he didn't know the answers to most of the questions the teacher was asking. After his math class, he went to the fourth and last class of the day which was arts and crafts. In arts and crafts, Bob painted a picture that he was very proud of. When art class was over, Bob was happy because he had finished his first day of school. He was excited to go to school on Tuesday and Wednesday.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67098\": \"What woke Bob up?\"\n },\n {\n \"67099\": \"How?\"\n },\n {\n \"67100\": \"What was his first class?\"\n },\n {\n \"67101\": \"Who drove him there?\"\n },\n {\n \"67102\": \"Was he late?\"\n },\n {\n \"67103\": \"Was he punished?\"\n },\n {\n \"67104\": \"How?\"\n },\n {\n \"67105\": \"What did he want to do after?\"\n },\n {\n \"67106\": \"Is that what he ended up doing?\"\n },\n {\n \"67107\": \"Why not?\"\n },\n {\n \"67108\": \"What was his next class?\"\n },\n {\n \"67109\": \"What did class consist of?\"\n },\n {\n \"67110\": \"About what?\"\n },\n {\n \"67111\": \"Did he enjoy it?\"\n },\n {\n \"67112\": \"What was his third class?\"\n },\n {\n \"67113\": \"Did he participate?\"\n },\n {\n \"67114\": \"What was his last class?\"\n },\n {\n \"67115\": \"And what did he do there?\"\n },\n {\n \"67116\": \"Was he proud of his work?\"\n },\n {\n \"67117\": \"How many classes did he have today in total?\"\n },\n {\n \"67118\": \"What day of the week was it?\"\n },\n {\n \"67119\": \"Was he excited to go back tomorrow?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67098\",\n \"answer\": \"his dog\"\n },\n {\n \"question_id\": \"67099\",\n \"answer\": \"barking at him\"\n },\n {\n \"question_id\": \"67100\",\n \"answer\": \"gym\"\n },\n {\n \"question_id\": \"67101\",\n \"answer\": \"His parents\"\n },\n {\n \"question_id\": \"67102\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67103\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67104\",\n \"answer\": \"running laps\"\n },\n {\n \"question_id\": \"67105\",\n \"answer\": \"play kickball or basketball\"\n },\n {\n \"question_id\": \"67106\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67107\",\n \"answer\": \"his friends decided to play baseball\"\n },\n {\n \"question_id\": \"67108\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"67109\",\n \"answer\": \"reading a story\"\n },\n {\n \"question_id\": \"67110\",\n \"answer\": \"a lady and a kitty\"\n },\n {\n \"question_id\": \"67111\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67112\",\n \"answer\": \"math\"\n },\n {\n \"question_id\": \"67113\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67114\",\n \"answer\": \"art\"\n },\n {\n \"question_id\": \"67115\",\n \"answer\": \"painted\"\n },\n {\n \"question_id\": \"67116\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67117\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"67118\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"67119\",\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 I'm sitting here in this coffee shop. You know the one there by Allen street. The town is filled with thousands of middle class college kids living off their parent's money. \n\nThe coffee shop is where the ones come to play the part of sophisticated bohemians . The pretensions glow from their line-less faces as they sip cappuccinos and chew strawberry cookies. The boys to my right are discussing Nabokov with a serious air, a copy of Sartre's Cuba lies on the table. \n\nThe young woman on my left is declaring that she can never allow her creativity to be killed by entering the work force. The man with her scratches his goatee in agreement, occasionally suggesting they go back to his place to hear his new Washington Squares CD. Matt has just designed a new international symbol for peace. He moves from table to table trying to sell hand painted T-shirts that bear the design. Tomorrow he's leaving for the 25th anniversary Woodstock concert where he hopes to strike it rich with his creation. \n\nGopha the skinny Indian boy feels like singing me a verse of 'It Ain't Me Babe' when I ask him if he's a friend of Monica's. Jason is trying to talk Gopha into a dollar bet on a game of chess. Between times Jason will chew your ear off with his plans to conquer the music industry while studying entertainment law, but when it comes to his never ending dollar chess matches he's quiet as a church mouse. \n\nI sit among them. To all surface appearances one and the same. If they could only see I would rather reach into their flesh and tear out their shallow little hearts than listen to another second of their prattle . \n\nWith no job, no gigs, and my girlfriend's so far gone she might as well be on another planet, I've been leading the writer's quiet cafe life, spending my free time outdoors drinking iced teas and cheap wines. I chat warmly with whoever decides to squander away their hours in my surrounding area. \n\nBut behind my eyes is an unspoken challenge to any and every one of these social elites to just once say one thing that would inspire me. Just one little idea which is new and meaningful. Unfortunately original thoughts are zero here. \n\nIn my secret mind I wish to run like a madman banging gongs and speaking in tongues. Or maybe jump on a table and sing the Star Spangled Banner in the forgotten language of the Hottentots. I know these thoughts only reveal me as a fool because the spark I search for cannot be found in acts of shocking performance art. Where it truly comes from is one of the mysteries which will always hang around me.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89996\": \"Where is he at?\"\n },\n {\n \"89997\": \"Where is his girlfriend?\"\n },\n {\n \"89998\": \"What is he searching for?\"\n },\n {\n \"89999\": \"What does he do?\"\n },\n {\n \"90000\": \"Who is the town filled with?\"\n },\n {\n \"90001\": \"What are those doing?\"\n },\n {\n \"90002\": \"What part are they playing?\"\n },\n {\n \"90003\": \"Why will the woman's creativity be killed?\"\n },\n {\n \"90004\": \"Where is Matt going?\"\n },\n {\n \"90005\": \"Where is he going tomorrow?\"\n },\n {\n \"90006\": \"Why?\"\n },\n {\n \"90007\": \"What would he rather do?\"\n },\n {\n \"90008\": \"Who sings a song?\"\n },\n {\n \"90009\": \"What does Gopha do?\"\n },\n {\n \"90010\": \"What is Jason studying?\"\n },\n {\n \"90011\": \"What are the boys talking about?\"\n },\n {\n \"90012\": \"What lies on the table?\"\n },\n {\n \"90013\": \"What kind of thoughts are not happening there?\"\n },\n {\n \"90014\": \"What street are they near?\"\n },\n {\n \"90015\": \"Is he working?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89996\",\n \"answer\": \"in the coffee shop\"\n },\n {\n \"question_id\": \"89997\",\n \"answer\": \"so far gone\"\n },\n {\n \"question_id\": \"89998\",\n \"answer\": \"the spark\"\n },\n {\n \"question_id\": \"89999\",\n \"answer\": \"He is a writer\"\n },\n {\n \"question_id\": \"90000\",\n \"answer\": \"thousands of middle class college kids\"\n },\n {\n \"question_id\": \"90001\",\n \"answer\": \"living off their parent's money\"\n },\n {\n \"question_id\": \"90002\",\n \"answer\": \"sophisticated bohemians\"\n },\n {\n \"question_id\": \"90003\",\n \"answer\": \"by entering the work force\"\n },\n {\n \"question_id\": \"90004\",\n \"answer\": \"from table to table trying to sell hand painted T-shirts that bear the design\"\n },\n {\n \"question_id\": \"90005\",\n \"answer\": \"the 25th anniversary Woodstock concert\"\n },\n {\n \"question_id\": \"90006\",\n \"answer\": \"he hopes to strike it rich with his creation\"\n },\n {\n \"question_id\": \"90007\",\n \"answer\": \"run like a madman banging gongs and speaking in tongues\"\n },\n {\n \"question_id\": \"90008\",\n \"answer\": \"the Hottentots\"\n },\n {\n \"question_id\": \"90009\",\n \"answer\": \"he feels like singing me a verse of 'It Ain't Me Babe'\"\n },\n {\n \"question_id\": \"90010\",\n \"answer\": \"entertainment law,\"\n },\n {\n \"question_id\": \"90011\",\n \"answer\": \"a game of chess\"\n },\n {\n \"question_id\": \"90012\",\n \"answer\": \"a copy of Sartre's Cuba lies on the table\"\n },\n {\n \"question_id\": \"90013\",\n \"answer\": \"original thoughts\"\n },\n {\n \"question_id\": \"90014\",\n \"answer\": \"Allen street\"\n },\n {\n \"question_id\": \"90015\",\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) -- 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 \"27254\": \"What did they share?\"\n },\n {\n \"27255\": \"Who drove a Mercedes?\"\n },\n {\n \"27256\": \"And how does he describe her?\"\n },\n {\n \"27257\": \"Have they competed against each other before?\"\n },\n {\n \"27258\": \"Where?\"\n },\n {\n \"27259\": \"Has he competed with other females?\"\n },\n {\n \"27260\": \"Where was she under development?\"\n },\n {\n \"27261\": \"Since when?\"\n },\n {\n \"27262\": \"Has a woman driven in F1 before?\"\n },\n {\n \"27263\": \"What female driver raced in 1992?\"\n },\n {\n \"27264\": \"Where is she from?\"\n },\n {\n \"27265\": \"Did she qualify?\"\n },\n {\n \"27266\": \"How many times did she try?\"\n },\n {\n \"27267\": \"How old is Susie?\"\n },\n {\n \"27268\": \"Where is she from?\"\n },\n {\n \"27269\": \"What caused difficulties two weeks ago?\"\n },\n {\n \"27270\": \"At which race?\"\n },\n {\n \"27271\": \"DId she get any practice runs in?\"\n },\n {\n \"27272\": \"How many?\"\n },\n {\n \"27273\": \"What was her best time?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27254\",\n \"answer\": \"a podium\"\n },\n {\n \"question_id\": \"27255\",\n \"answer\": \"Lewis Hamilton\"\n },\n {\n \"question_id\": \"27256\",\n \"answer\": \"very talented\"\n },\n {\n \"question_id\": \"27257\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27258\",\n \"answer\": \"karting, Formula Renault\"\n },\n {\n \"question_id\": \"27259\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27260\",\n \"answer\": \"Williams\"\n },\n {\n \"question_id\": \"27261\",\n \"answer\": \"212\"\n },\n {\n \"question_id\": \"27262\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27263\",\n \"answer\": \"Giovanna Amati\"\n },\n {\n \"question_id\": \"27264\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"27265\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27266\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"27267\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"27268\",\n \"answer\": \"Scotland\"\n },\n {\n \"question_id\": \"27269\",\n \"answer\": \"engine problems\"\n },\n {\n \"question_id\": \"27270\",\n \"answer\": \"British Grand Prix\"\n },\n {\n \"question_id\": \"27271\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27272\",\n \"answer\": \"4e engine\"\n },\n {\n \"question_id\": \"27273\",\n \"answer\": \"one minute 20.769 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 CHAPTER XXV. THE MADMAN TALKS \n\nTavernake turned on the light. Pritchard, with a quick leap forward, seized Wenham around the waist and dragged him away. Elizabeth had fainted; she lay upon the floor, her face the color of marble. \n\n\"Get some water and throw over her,\" Pritchard ordered. \n\nTavernake obeyed. He threw open the window and let in a current of air. In a moment or two the woman stirred and raised her head. \n\n\"Look after her for a minute,\" Pritchard said. \"I Il lock this fierce little person up in the bathroom.\" \n\nPritchard carried his prisoner out. Tavernake leaned over the woman who was slowly coming back to consciousness. \n\n\"Tell me about it,\" she asked, hoarsely. \"Where is he?\" \n\n\"Locked up in the bathroom,\" Tavernake answered. \"Pritchard is taking care of him. He won't be able to get out.\" \n\n\"You know who it was?\" she faltered. \n\n\"I do not,\" Tavernake replied. \"It isn't my business. I'm only here because Pritchard begged me to come. He thought he might want help.\" \n\nShe held his fingers tightly. \n\n\"Where were you?\" she asked. \n\n\"In the bathroom when you arrived. Then he bolted the door behind and we had to come round through your bedroom.\" \n\n\"How did Pritchard find out?\" \n\n\"I know nothing about it,\" Tavernake replied. \"I only know that he peered through the latticework and saw you sitting there at supper.\" \n\nShe smiled weakly. \n\n\"It must have been rather a shock to him,\" she said. \"He has been convinced for the last six months that I murdered Wenham, or got rid of him by some means or other. Help me up.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84197\": \"Who fainted?\"\n },\n {\n \"84198\": \"And who ordered to throw water over her?\"\n },\n {\n \"84199\": \"Did anyone do as he ordered?\"\n },\n {\n \"84200\": \"Who was it?\"\n },\n {\n \"84201\": \"Did Elizabeth wake up?\"\n },\n {\n \"84202\": \"Who was seized around his waist?\"\n },\n {\n \"84203\": \"Who locked him in the bathroom?\"\n },\n {\n \"84204\": \"Who did she ask about Wenham?\"\n },\n {\n \"84205\": \"What was his reply?\"\n },\n {\n \"84206\": \"Did she hold his fingers loosely?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"84197\",\n \"answer\": \"Elizabeth\"\n },\n {\n \"question_id\": \"84198\",\n \"answer\": \"Pritchard\"\n },\n {\n \"question_id\": \"84199\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84200\",\n \"answer\": \"Tavernake\"\n },\n {\n \"question_id\": \"84201\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84202\",\n \"answer\": \"Wenham\"\n },\n {\n \"question_id\": \"84203\",\n \"answer\": \"Pritchard\"\n },\n {\n \"question_id\": \"84204\",\n \"answer\": \"Tavernake\"\n },\n {\n \"question_id\": \"84205\",\n \"answer\": \"\\\"I do not\\\"\"\n },\n {\n \"question_id\": \"84206\",\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 (OPRAH.com) -- Oprah has always said that mothers have the most difficult job on earth, and actress Jenny McCarthy is one mom who has never backed down from a challenge. \n\nDoctors removed Monica's uterus, ovaries, gallbladder and part of her colon, along with her legs and arms. \n\nJenny has been an outspoken advocate for parents of children with autism since her son was diagnosed with the disease two and a half years ago. \n\nIn her new book, \"Mother Warriors,\" Jenny tells the story of other moms fighting for their special-needs kids. \n\nSo when Oprah heard about Monica, another mom fighting for her children, she thought Jenny would be just the person to get this mother warrior's story. \n\nAfter going through a painful divorce, Monica met Tony when she least expected it. Monica already had a 9-year-old daughter, but soon after she and Tony got engaged, they were thrilled to be expecting another bundle of joy. \n\nIn August 2007, she had a C-section, and though she worried about complications, Monica delivered a healthy baby girl. But hours after Sofia was born, Monica began running a fever. No one was concerned at first -- Monica figured it was just hormones -- but three days later the fever hadn't broken, and Monica's abdomen was swollen and painful. iReport.com: What do you think about this story? Sound off on video \n\nThe doctors at Monica's hospital thought she might be infected with a deadly strain of bacteria. They flew her to a hospital in Boston where she was diagnosed with necrotizing fasciitis, also known as flesh-eating bacteria. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59193\": \"who wrote a book?\"\n },\n {\n \"59194\": \"what is it called?\"\n },\n {\n \"59195\": \"what is it about?\"\n },\n {\n \"59196\": \"does she have a special needs child?\"\n },\n {\n \"59197\": \"a female child?\"\n },\n {\n \"59198\": \"what is wrong with her little boy?\"\n },\n {\n \"59199\": \"is her last name mentioned?\"\n },\n {\n \"59200\": \"what is it?\"\n },\n {\n \"59201\": \"does she do anything besides writing?\"\n },\n {\n \"59202\": \"what?\"\n },\n {\n \"59203\": \"did someone's marriage end?\"\n },\n {\n \"59204\": \"who?\"\n },\n {\n \"59205\": \"did she start a new relationship?\"\n },\n {\n \"59206\": \"with who?\"\n },\n {\n \"59207\": \"was it serious?\"\n },\n {\n \"59208\": \"how do you know that?\"\n },\n {\n \"59209\": \"did they reproduce?\"\n },\n {\n \"59210\": \"when?\"\n },\n {\n \"59211\": \"of what year?\"\n },\n {\n \"59212\": \"did she deliver vaginally?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59193\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"59194\",\n \"answer\": \"Mother Warriors\"\n },\n {\n \"question_id\": \"59195\",\n \"answer\": \"moms fighting for their special-needs kids.\"\n },\n {\n \"question_id\": \"59196\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59197\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59198\",\n \"answer\": \"he has autism\"\n },\n {\n \"question_id\": \"59199\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59200\",\n \"answer\": \"McCarthy\"\n },\n {\n \"question_id\": \"59201\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59202\",\n \"answer\": \"she acts\"\n },\n {\n \"question_id\": \"59203\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59204\",\n \"answer\": \"Monica\"\n },\n {\n \"question_id\": \"59205\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59206\",\n \"answer\": \"Tony\"\n },\n {\n \"question_id\": \"59207\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59208\",\n \"answer\": \"they got engaged\"\n },\n {\n \"question_id\": \"59209\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59210\",\n \"answer\": \"In August\"\n },\n {\n \"question_id\": \"59211\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"59212\",\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 Why do 33% of the households in the USA have cats? And how do you explain why there are 16 million more pet cats than dogs? Yes, kittens are adorable .Yes, they can grow up to be good mousers and are very entertaining to watch.And yes, cats are independent and don't require as much care as dogs.But research shows cats can also be caretakers for us and our families, improve our health and teach us and our children to be kinder, gentler souls. \n\nTheodora Wesselman is 94 and has lived the past two years with her elderly cat, Cleo, at TigerPlace, a retirement community in Columbia, Mo.Their enduring friendship is a classic example of how humans and animals can become family and look out for each other. \n\nWesselman visits other residents, and her children stop by, but Cleo is her best friend, she says.They've been together nearly 21 years. \n\n\"She sleeps on her own pillow right beside mine,\" Wesselman says.\"In the morning, she pecks on my cheek to wake me up.It's really sweet.I pet her, tell her I love her and take her to the kitchen to prepare her food.\" \n\nResearch shows that being able to care for a pet improves our morale (;), helps validate us and encourages us to take care of ourselves, says Rebecca Johnson, director of the University of Missouri's Research Center for Human-Animal Interaction.The body of research is leading more retirement communities and universities _ .\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41218\": \"What do one-third of houses in the US have?\"\n },\n {\n \"41219\": \"What can they teach?\"\n },\n {\n \"41220\": \"What can they raise?\"\n },\n {\n \"41221\": \"What can they catch?\"\n },\n {\n \"41222\": \"How many more domestic cats are there than dogs?\"\n },\n {\n \"41223\": \"Where does Theodora Wesselman live?\"\n },\n {\n \"41224\": \"What type of residence is that?\"\n },\n {\n \"41225\": \"How long has she lived there?\"\n },\n {\n \"41226\": \"How long has she lived with her pet?\"\n },\n {\n \"41227\": \"What's her morning routine?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"41218\",\n \"answer\": \"cats\"\n },\n {\n \"question_id\": \"41219\",\n \"answer\": \"to be kinder\"\n },\n {\n \"question_id\": \"41220\",\n \"answer\": \"morale\"\n },\n {\n \"question_id\": \"41221\",\n \"answer\": \"mice\"\n },\n {\n \"question_id\": \"41222\",\n \"answer\": \"16 million\"\n },\n {\n \"question_id\": \"41223\",\n \"answer\": \"TigerPlace\"\n },\n {\n \"question_id\": \"41224\",\n \"answer\": \"a retirement community\"\n },\n {\n \"question_id\": \"41225\",\n \"answer\": \"two years\"\n },\n {\n \"question_id\": \"41226\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"41227\",\n \"answer\": \"Cleo pecks her on the cheek to wake her up. Theodora pets her, tells her she loves her, and then takes her to the kitchen for food.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Serena Williams fended off a stirring fightback from Agnieszka Radwanska to win her fifth Wimbledon singles title with a 6-1 5-7 6-2 victory Saturday. \n\nIt was the 30-year-old American's 14th grand slam crown and her first since winning at the All England Club in 2010, but Poland's Radwanska made her fight every inch of the way. \n\nSuffering from a respiratory problem and trailing after a one-sided first set, Radwanska recovered from a break down in the second to give Williams a real Centre Court scare. \n\nAfter leveling at one set all, Radwanska took a 2-1 lead in the decider before Williams romped to victory with a run of five straight games. \n\nShe celebrated by climbing into the players' box to embrace her sister Venus and other close connections including her physiotherapist Esther Lee. \n\nWilliams spent almost a year on the sidelines, being struck by first injury then serious illness after being laid low by dangerous blood clots. \n\nHistoric victories, crushing defeats at Wimbledon \n\nA visibly emotional Williams showed how much victory meant to her in her post-match interview. \n\n\"I can't describe it. I almost didn't make it a few years ago. I was in hospital and I thought I'd never be here again, so this makes it so worth it,\" she said. \n\n\"It's all the sweeter. I was so down but you never give up. You have to continue,\" she added. \n\nWilliams has capped her steady return to the top with an emphatic performance on the grass courts, particularly since the quarterfinals where she dispatched reigning champion Petra Kvitova. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77336\": \"Who played in the Wimbledon titles match mentioned in the story?\"\n },\n {\n \"77337\": \"Who was her opponent?\"\n },\n {\n \"77338\": \"Who won the match?\"\n },\n {\n \"77339\": \"What was the score?\"\n },\n {\n \"77340\": \"How old is the victor now?\"\n },\n {\n \"77341\": \"How many grand slams has she won?\"\n },\n {\n \"77342\": \"When did she capture her last one?\"\n },\n {\n \"77343\": \"At what venue?\"\n },\n {\n \"77344\": \"Was this match an easy one for her?\"\n },\n {\n \"77345\": \"Was Serena's opponent healthy for the match?\"\n },\n {\n \"77346\": \"What was wrong with her?\"\n },\n {\n \"77347\": \"How many games in a row did Williams win at the end?\"\n },\n {\n \"77348\": \"How did she celebrate her triumph?\"\n },\n {\n \"77349\": \"Who did she hug?\"\n },\n {\n \"77350\": \"Anyone else?\"\n },\n {\n \"77351\": \"How long was she out of action?\"\n },\n {\n \"77352\": \"What caused her inactivity?\"\n },\n {\n \"77353\": \"What was the sickness?\"\n },\n {\n \"77354\": \"Was she calm after she won?\"\n },\n {\n \"77355\": \"Did she think she would get another Wimbledon title?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77336\",\n \"answer\": \"Serena Williams.\"\n },\n {\n \"question_id\": \"77337\",\n \"answer\": \"Agnieszka Radwanska.\"\n },\n {\n \"question_id\": \"77338\",\n \"answer\": \"Williams.\"\n },\n {\n \"question_id\": \"77339\",\n \"answer\": \"6-1 5-7 6-2.\"\n },\n {\n \"question_id\": \"77340\",\n \"answer\": \"30.\"\n },\n {\n \"question_id\": \"77341\",\n \"answer\": \"14.\"\n },\n {\n \"question_id\": \"77342\",\n \"answer\": \"2010.\"\n },\n {\n \"question_id\": \"77343\",\n \"answer\": \"The All England Club.\"\n },\n {\n \"question_id\": \"77344\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"77345\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"77346\",\n \"answer\": \"A respiratory problem.\"\n },\n {\n \"question_id\": \"77347\",\n \"answer\": \"Five.\"\n },\n {\n \"question_id\": \"77348\",\n \"answer\": \"By climbing into the players' box .\"\n },\n {\n \"question_id\": \"77349\",\n \"answer\": \"Her sister Venus.\"\n },\n {\n \"question_id\": \"77350\",\n \"answer\": \"Her physiotherapist Esther Lee.\"\n },\n {\n \"question_id\": \"77351\",\n \"answer\": \"Almost a year.\"\n },\n {\n \"question_id\": \"77352\",\n \"answer\": \"First injury then serious illness.\"\n },\n {\n \"question_id\": \"77353\",\n \"answer\": \"Blood clots.\"\n },\n {\n \"question_id\": \"77354\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"77355\",\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 VI \n\nTHE HALL OF THE ATLAS \n\nFrom the moment when the tailor had bowed his farewell to the moment when Graham found himself in the lift, was altogether barely five minutes. As yet the haze of his vast interval of sleep hung about him, as yet the initial strangeness of his being alive at all in this remote age touched everything with wonder, with a sense of the irrational, with something of the quality of a realistic dream. He was still detached, an astonished spectator, still but half involved in life. What he had seen, and especially the last crowded tumult, framed in the setting of the balcony, had a spectacular turn, like a thing witnessed from the box of a theatre. \"I don't understand,\" he said. \"What was the trouble? My mind is in a whirl. Why were they shouting? What is the danger?\" \n\n\"We have our troubles,\" said Howard. His eyes avoided Graham's enquiry. \"This is a time of unrest. And, in fact, your appearance, your waking just now, has a sort of connexion--\" \n\nHe spoke jerkily, like a man not quite sure of his breathing. He stopped abruptly. \n\n\"I don't understand,\" said Graham. \n\n\"It will be clearer later,\" said Howard. \n\nHe glanced uneasily upward, as though he found the progress of the lift slow. \n\n\"I shall understand better, no doubt, when I have seen my way about a little,\" said Graham puzzled. \"It will be--it is bound to be perplexing. At present it is all so strange. Anything seems possible. Anything. In the details even. Your counting, I understand, is different.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79380\": \"was the lift fast?\"\n },\n {\n \"79381\": \"who was in the lift?\"\n },\n {\n \"79382\": \"Who bowed?\"\n },\n {\n \"79383\": \"how long was he in the lift?\"\n },\n {\n \"79384\": \"who did he avoid looking at?\"\n },\n {\n \"79385\": \"who has troubles?\"\n },\n {\n \"79386\": \"was this like a dream?\"\n },\n {\n \"79387\": \"whose mind was in a whirl?\"\n },\n {\n \"79388\": \"who caused unrest?\"\n },\n {\n \"79389\": \"when will it be clearer?\"\n },\n {\n \"79390\": \"according to who?\"\n },\n {\n \"79391\": \"was everything impossible?\"\n },\n {\n \"79392\": \"was his breath slow and calm?\"\n },\n {\n \"79393\": \"was graham mentally alert?\"\n },\n {\n \"79394\": \"was he confused?\"\n },\n {\n \"79395\": \"was his appearance disconcerting?\"\n },\n {\n \"79396\": \"who left graham?\"\n },\n {\n \"79397\": \"did sleep alude graham?\"\n },\n {\n \"79398\": \"dd he believe he was in danger?\"\n },\n {\n \"79399\": \"who was shouting?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79380\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79381\",\n \"answer\": \"Graham\"\n },\n {\n \"question_id\": \"79382\",\n \"answer\": \"the tailor\"\n },\n {\n \"question_id\": \"79383\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79384\",\n \"answer\": \"Graham\"\n },\n {\n \"question_id\": \"79385\",\n \"answer\": \"Howard and Graham\"\n },\n {\n \"question_id\": \"79386\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79387\",\n \"answer\": \"Graham's\"\n },\n {\n \"question_id\": \"79388\",\n \"answer\": \"Graham\"\n },\n {\n \"question_id\": \"79389\",\n \"answer\": \"later\"\n },\n {\n \"question_id\": \"79390\",\n \"answer\": \"Howard\"\n },\n {\n \"question_id\": \"79391\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79392\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79393\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79394\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79395\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79396\",\n \"answer\": \"the tailor\"\n },\n {\n \"question_id\": \"79397\",\n \"answer\": \"it hung about him\"\n },\n {\n \"question_id\": \"79398\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79399\",\n \"answer\": \"'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 Rolling Stone is an American biweekly magazine that focuses on popular culture. It was founded in San Francisco in 1967 by Jann Wenner, who is still the magazine's publisher, and the music critic Ralph J. Gleason. It was first known for its musical coverage and for political reporting by Hunter S. Thompson. In the 1990s, the magazine shifted focus to a younger readership interested in youth-oriented television shows, film actors, and popular music. In recent years, it has resumed its traditional mix of content. \n\nRolling Stone Press is the magazine's associated book publishing imprint. \n\n\"Rolling Stone\" magazine was founded in San Francisco in 1967 by Jann Wenner and Ralph Gleason. To get it off the ground, Wenner borrowed $7,500 from his own family and from the parents of his soon-to-be wife, Jane Schindelheim. The first issue carried a cover date of November 9, 1967, and was in newspaper format with a lead article on the Monterey Pop Festival. The cover price was 25¢ (equivalent to $ in 2016). \n\nIn the first issue, Wenner explained that the title of the magazine referred to the 1950 blues song, \"Rollin' Stone\", recorded by Muddy Waters, the rock and roll band the Rolling Stones, and Bob Dylan's hit single \"Like a Rolling Stone\". Some authors have attributed the name solely to Dylan's hit single: \"At [Ralph] Gleason's suggestion, Wenner named his magazine after a Bob Dylan song.\" \"Rolling Stone\" initially identified with and reported the hippie counterculture of the era. However, it distanced itself from the underground newspapers of the time, such as \"Berkeley Barb\", embracing more traditional journalistic standards and avoiding the radical politics of the underground press. In the very first edition, Wenner wrote that \"Rolling Stone\" \"is not just about the music, but about the things and attitudes that music embraces\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88848\": \"When was the first issue of \\\"Rolling Stone\\\" published?\"\n },\n {\n \"88849\": \"What was the cost?\"\n },\n {\n \"88850\": \"What was the lead article?\"\n },\n {\n \"88851\": \"Who was the music critic associated with the founding of this publication?\"\n },\n {\n \"88852\": \"Who else is associated with the founding of this publication?\"\n },\n {\n \"88853\": \"Where was this publication founded?\"\n },\n {\n \"88854\": \"What song was the inspiration for the name of it?\"\n },\n {\n \"88855\": \"What musical group was also said to have inspired the title?\"\n },\n {\n \"88856\": \"Who sought funding for the beginning of this publication?\"\n },\n {\n \"88857\": \"What was one source of funding he obtained?\"\n },\n {\n \"88858\": \"Who else?\"\n },\n {\n \"88859\": \"What type of art was it originally focused on?\"\n },\n {\n \"88860\": \"What else was it originally focused on?\"\n },\n {\n \"88861\": \"When did the focus shift?\"\n },\n {\n \"88862\": \"What was one of the new areas it focused on?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"88848\",\n \"answer\": \"in 1967\"\n },\n {\n \"question_id\": \"88849\",\n \"answer\": \"The cover price was 25\\u00a2\"\n },\n {\n \"question_id\": \"88850\",\n \"answer\": \"the Monterey Pop Festival\"\n },\n {\n \"question_id\": \"88851\",\n \"answer\": \"critic Ralph J. Gleason\"\n },\n {\n \"question_id\": \"88852\",\n \"answer\": \"Jann Wenner\"\n },\n {\n \"question_id\": \"88853\",\n \"answer\": \"in San Francisco\"\n },\n {\n \"question_id\": \"88854\",\n \"answer\": \"the 1950 blues song, \\\"Rollin' Stone\\\", recorded by Muddy Waters,and Bob Dylan's hit single \\\"Like a Rolling Stone\\\"\"\n },\n {\n \"question_id\": \"88855\",\n \"answer\": \"the Rolling Stones\"\n },\n {\n \"question_id\": \"88856\",\n \"answer\": \"Jann Wenner\"\n },\n {\n \"question_id\": \"88857\",\n \"answer\": \"his family\"\n },\n {\n \"question_id\": \"88858\",\n \"answer\": \"the parents of his soon-to-be wife\"\n },\n {\n \"question_id\": \"88859\",\n \"answer\": \"music\"\n },\n {\n \"question_id\": \"88860\",\n \"answer\": \"the things and attitudes that music embraces\"\n },\n {\n \"question_id\": \"88861\",\n \"answer\": \"In the 1990s\"\n },\n {\n \"question_id\": \"88862\",\n \"answer\": \"film actors\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Same-sex marriage, also known as gay marriage is marriage between people of the same sex, either as a secular civil ceremony or in a religious setting. The term marriage equality refers to a political status in which same-sex marriage and opposite-sex marriage are considered legally equal. \n\nIn the late 20th century, rites of marriage for same-sex couples without legal recognition became increasingly common. The first law providing for marriage of people of the same sex in modern times was enacted in 2001 in the Netherlands. , same-sex marriage is legally recognized (nationwide or in some parts) in the following countries: Argentina, Belgium, Brazil, Canada, Colombia, Denmark, Finland, France, Germany, Iceland, Ireland, Luxembourg, Malta, Mexico, the Netherlands, New Zealand, Norway, Portugal, South Africa, Spain, Sweden, the United Kingdom, the United States and Uruguay. Same-sex marriage is likely to soon become legal in Taiwan, after a constitutional court ruling in May 2017. Polls show rising support for legally recognizing same-sex marriage in the Americas, Australia and most of Europe. However, as of 2017, South Africa is the only African country where same-sex marriage is recognized. Taiwan would become the first country in Asia to legalize same-sex marriage if the Civil Code is amended. Israel and Armenia recognise same-sex marriages performed outside the country for some purposes.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12655\": \"What is the article about?\"\n },\n {\n \"12656\": \"In how many countries is it legal?\"\n },\n {\n \"12657\": \"Which was first?\"\n },\n {\n \"12658\": \"When?\"\n },\n {\n \"12659\": \"Where might be next?\"\n },\n {\n \"12660\": \"Is it common in Africa?\"\n },\n {\n \"12661\": \"How many places is it legal?\"\n },\n {\n \"12662\": \"Where?\"\n },\n {\n \"12663\": \"What are other terms for this?\"\n },\n {\n \"12664\": \"Are there any countries in Asia that recognize it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12655\",\n \"answer\": \"Same-sex marriage\"\n },\n {\n \"question_id\": \"12656\",\n \"answer\": \"24 (if I counted right)\"\n },\n {\n \"question_id\": \"12657\",\n \"answer\": \"Netherlands\"\n },\n {\n \"question_id\": \"12658\",\n \"answer\": \"in 2001\"\n },\n {\n \"question_id\": \"12659\",\n \"answer\": \"Taiwan\"\n },\n {\n \"question_id\": \"12660\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12661\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"12662\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"12663\",\n \"answer\": \"gay marriage\"\n },\n {\n \"question_id\": \"12664\",\n \"answer\": \"Not yet\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Two classic car collectors from the US state of Idaho found the wallet after it fell out of the back of a vintage car they were planning to restore. After an Internet search they found and contacted the owner, Glenn Goodlove. Mr. Goodlove said he probably lost the wallet in the back seat of his 1946 prefix = st1 /Hudsoncar while kissing a girl when he was home on leave from the US Navy. Jon Beck, 61, and Chuck Merrill, 72, bought the now-vintage vehicle in Idahoafter placing an ad in a local newspaper to buy a classic car in need of restoration. Driving the car home after buying it, the collectors stopped at a restaurant and saw something from below the back seat. \"Like a couple of kids, we thought we had a goldmine,\" Mr. Beck said. Instead, they found some small change -- the leather wallet held a $10 bill, Mr. Goodlove's military ID, his social security card, his driver's license and several jewellery receipts from 1952. But they were all in the name of Glenn Putnam. After searching online, Mr. Beck discovered that Mr. Putnam had since changed his name to Glenn Goodlove and moved to San Diego,California. He called Mr. Goodlove, asking to speak to a man who used to drive a '46Hudson. \"There was a silence for about 15 seconds,\" Mr. Beck told the Twin Falls Times-News. \"Then he said, 'Who is that?'\" Mr. Goodlove, now 75, says he did not even remember losing the wallet, but the find has brought memories of his youth inEverett,Washington, flooding back. \"I could see the house and the car and the town and all the good stuff from living there,\" he said. \"They've been flowing ever since he talked to me.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62666\": \"What item was recovered?\"\n },\n {\n \"62667\": \"Who did it belong to?\"\n },\n {\n \"62668\": \"Was that the same name listed in the missing item?\"\n },\n {\n \"62669\": \"What was the other one?\"\n },\n {\n \"62670\": \"Who retrieved the missing item?\"\n },\n {\n \"62671\": \"Where was the item found?\"\n },\n {\n \"62672\": \"Of what?\"\n },\n {\n \"62673\": \"What was this person attempting to do with the vehicle?\"\n },\n {\n \"62674\": \"What had he done before running it home?\"\n },\n {\n \"62675\": \"How many others were with him?\"\n },\n {\n \"62676\": \"Who was he?\"\n },\n {\n \"62677\": \"What were there plans with the vehicle?\"\n },\n {\n \"62678\": \"When they retrieved the missing item, was there a couple hundred dollars in it?\"\n },\n {\n \"62679\": \"How much did they discover?\"\n },\n {\n \"62680\": \"How old is the original owner?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"62666\",\n \"answer\": \"wallet\"\n },\n {\n \"question_id\": \"62667\",\n \"answer\": \"Glenn Goodlove\"\n },\n {\n \"question_id\": \"62668\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62669\",\n \"answer\": \"Glenn Putnam\"\n },\n {\n \"question_id\": \"62670\",\n \"answer\": \"Jon Beck\"\n },\n {\n \"question_id\": \"62671\",\n \"answer\": \"below the back seat\"\n },\n {\n \"question_id\": \"62672\",\n \"answer\": \"1946 prefix = st1 /Hudsoncar\"\n },\n {\n \"question_id\": \"62673\",\n \"answer\": \"Drive the car home\"\n },\n {\n \"question_id\": \"62674\",\n \"answer\": \"stopped at a restaurant\"\n },\n {\n \"question_id\": \"62675\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"62676\",\n \"answer\": \"Chuck Merrill\"\n },\n {\n \"question_id\": \"62677\",\n \"answer\": \"restoration\"\n },\n {\n \"question_id\": \"62678\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62679\",\n \"answer\": \"$10 bill\"\n },\n {\n \"question_id\": \"62680\",\n \"answer\": \"75\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nSETTLING DOWN TO STUDY \n\nDick meant what he said concerning coming back to Putnam Hall for the sake of learning something. He felt that he had lost too much time from school already to lose more, and he pitched in with a vigor that was indeed surprising. \n\n\"I don't see how you can do it,\" said Tom one day. \"I can't, to save my life.\" Yet Tom was by no means a poor scholar, and if he did not stand at the head of his class he was not far from it. Sam was also doing his best, and all of this gratified Captain Putnam exceedingly. \n\n\"It shows they can work as well as play,\" was what the captain told himself, and he wrote Anderson Rover a long letter, in which he praised the boys for their efforts. \n\nThe boys fell into their places at the academy with a naturalness that was surprising when one considered the adventures that had but lately befallen them. Over and over again did they have to tell of their doings while on the Pacific, and as Crusoes, and some of the cadets never tired of listening to the stories. A few, including Lew Flapp, did not believe them true, but the majority did, and that was enough for the Rovers. \n\nDick was now advancing in years, and he knew that before long he would either have to go into business or to college, which he had not yet fully decided. To tell the truth, the thought of separating from his brothers was exceedingly distasteful to him. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13356\": \"What is the name of this Chapter?\"\n },\n {\n \"13357\": \"What school was Dick coming back to?\"\n },\n {\n \"13358\": \"Had he lost time from school?\"\n },\n {\n \"13359\": \"How did he pitch in?\"\n },\n {\n \"13360\": \"Could Tom do what Dick did?\"\n },\n {\n \"13361\": \"Was Tom a poor student?\"\n },\n {\n \"13362\": \"How far was he from head of his class?\"\n },\n {\n \"13363\": \"Was Captain Putnam pleased?\"\n },\n {\n \"13364\": \"To whom did Putnam write?\"\n },\n {\n \"13365\": \"Was is a long letter?\"\n },\n {\n \"13366\": \"Did it contain praise?\"\n },\n {\n \"13367\": \"What did he tell himself?\"\n },\n {\n \"13368\": \"Had the boys had adventures lately?\"\n },\n {\n \"13369\": \"Who listened to their stories?\"\n },\n {\n \"13370\": \"Did Lew Flapp believe the stories?\"\n },\n {\n \"13371\": \"Did most cadets?\"\n },\n {\n \"13372\": \"Where did some of the stories take place?\"\n },\n {\n \"13373\": \"Were the boys acting like the Crusoes in their stories?\"\n },\n {\n \"13374\": \"Was Dick going into business?\"\n },\n {\n \"13375\": \"What else was he considering?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13356\",\n \"answer\": \"SETTLING DOWN TO STUDY\"\n },\n {\n \"question_id\": \"13357\",\n \"answer\": \"Putnam Hall\"\n },\n {\n \"question_id\": \"13358\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13359\",\n \"answer\": \"With vigor\"\n },\n {\n \"question_id\": \"13360\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13361\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13362\",\n \"answer\": \"not far from it\"\n },\n {\n \"question_id\": \"13363\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13364\",\n \"answer\": \"Anderson Rover\"\n },\n {\n \"question_id\": \"13365\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13366\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13367\",\n \"answer\": \"\\\"It shows they can work as well as play\"\n },\n {\n \"question_id\": \"13368\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13369\",\n \"answer\": \"the cadets\"\n },\n {\n \"question_id\": \"13370\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13371\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13372\",\n \"answer\": \"the Pacific\"\n },\n {\n \"question_id\": \"13373\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13374\",\n \"answer\": \"He hadn't yet decided\"\n },\n {\n \"question_id\": \"13375\",\n \"answer\": \"Going to college\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII \n\nROCHESTER'S ULTIMATUM \n\nThe Park into which they turned was almost deserted. Pauline stopped the carriage and got out. \n\n\"Come and walk with me a little way,\" she said to Rochester. \"We will go and sit amongst that wilderness of empty chairs. I want to talk. I must talk to someone. We shall be quite alone there.\" \n\nRochester walked by her side, puzzled. He had never seen her like this. \n\n\"I suppose I am hysterical,\" she said, clutching at his arm for a moment as they passed along the walk. \"There, even that does me good. It's good to feel--oh, I don't know what I'm talking about!\" she exclaimed. \n\n\"Where have you been this afternoon?\" he asked gravely. \n\n\"To hear that awful man Naudheim,\" she answered. \"Henry, I wish I'd never been. I wish to Heaven you'd never asked Bertrand Saton to Beauleys.\" \n\nRochester's face grew darker. \n\n\"I wish I'd wrung the fellow's neck the first day I saw him,\" he declared, bitterly. \"But after all, Pauline, you don't take this sort of person seriously?\" \n\n\"I wish I didn't,\" she answered. \n\n\"He's an infernal charlatan,\" Rochester declared. \"I'm convinced of it, and I mean to expose him.\" \n\nShe shook her head. \n\n\"You can call him what you like,\" she said, \"but there is Naudheim behind him. There is no one in Europe who would dare to call Naudheim a charlatan.\" \n\n\"He is a wonderful man, but he is mad,\" Rochester said. \n\n\"No, he is not mad,\" she said. \"It is we who are mad, to listen a little, to think a little, to play a little with the thoughts he gives us.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95503\": \"Who was beside someone\"\n },\n {\n \"95504\": \"where did they go?\"\n },\n {\n \"95505\": \"was something stopped?\"\n },\n {\n \"95506\": \"what?\"\n },\n {\n \"95507\": \"did rochesters face change?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"95503\",\n \"answer\": \"Rochester\"\n },\n {\n \"question_id\": \"95504\",\n \"answer\": \"Amongst that wilderness of empty chairs.\"\n },\n {\n \"question_id\": \"95505\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95506\",\n \"answer\": \"The carriage\"\n },\n {\n \"question_id\": \"95507\",\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 So, there was this kid named Jack that came up to my beanstalk one day. I couldn't believe my eyes, so I put down my ham sandwich I was eating and looked at him. I'm not sure what he thought he was doing there, but he sure did talk a lot. He kept asking me questions about this and then he asked me some questions about that and I was getting a little bit tired of all of the questions. \n\nWhen I thought I wouldn't hear the end of everything, this Jack kid asked me about the one and only secret that I've always kept to myself. That no one even knew about! No, it wasn't about my golden guitar or even my goose that laid eggs filled with coins. No, he was asking me about my beans and their roots. \n\nYou see, I'm a giant and my job is to make sure the bean roots that we use to get down to earth are well protected and guarded. They're what helps us get down to the little person world when we need to. I became a little bit worried as the little kid asked more and more questions about my roots. I didn't want to tell him that my roots were hidden in the library! \n\nI walked over to him to pick this little kid up to get him to quiet down about the bean roots, well, he got me with his little knife and I dropped him! Thankfully, he didn't get hurt or I would've been so sad! \n\nHe ran down the beanstalk when I chased after him. I guess he wanted to get back to his little people. I didn't follow him, but I sure hope he doesn't come back for my stuff.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78588\": \"Who looks after the bean roots?\"\n },\n {\n \"78589\": \"How does he care for them?\"\n },\n {\n \"78590\": \"Why are they important?\"\n },\n {\n \"78591\": \"Who was talking to the giant?\"\n },\n {\n \"78592\": \"Was he quiet?\"\n },\n {\n \"78593\": \"What did they talk about?\"\n },\n {\n \"78594\": \"About what?\"\n },\n {\n \"78595\": \"What else?\"\n },\n {\n \"78596\": \"Did he ask about a guitar?\"\n },\n {\n \"78597\": \"How did it make the giant feel?\"\n },\n {\n \"78598\": \"Why did that worry him?\"\n },\n {\n \"78599\": \"Why did he drop Jack?\"\n },\n {\n \"78600\": \"Was he hurt?\"\n },\n {\n \"78601\": \"Where did he go?\"\n },\n {\n \"78602\": \"What happened next?\"\n },\n {\n \"78603\": \"and then?\"\n },\n {\n \"78604\": \"What's inside the eggs?\"\n },\n {\n \"78605\": \"Where do they come from?\"\n },\n {\n \"78606\": \"Who has a secret?\"\n },\n {\n \"78607\": \"What was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78588\",\n \"answer\": \"A giants\"\n },\n {\n \"question_id\": \"78589\",\n \"answer\": \"making sure they are protected and guarded.\"\n },\n {\n \"question_id\": \"78590\",\n \"answer\": \"they help us get down to the little person world when we need to\"\n },\n {\n \"question_id\": \"78591\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"78592\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78593\",\n \"answer\": \"He kept asking me questions\"\n },\n {\n \"question_id\": \"78594\",\n \"answer\": \"about this and that\"\n },\n {\n \"question_id\": \"78595\",\n \"answer\": \"about my beans and their roots.\"\n },\n {\n \"question_id\": \"78596\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78597\",\n \"answer\": \"a little bit worried\"\n },\n {\n \"question_id\": \"78598\",\n \"answer\": \"he didn't want to tell him that his roots were hidden in the library\"\n },\n {\n \"question_id\": \"78599\",\n \"answer\": \"his knife got him!\"\n },\n {\n \"question_id\": \"78600\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78601\",\n \"answer\": \"He ran down the beanstalk\"\n },\n {\n \"question_id\": \"78602\",\n \"answer\": \"I chased after him\"\n },\n {\n \"question_id\": \"78603\",\n \"answer\": \"he didn't follow him\"\n },\n {\n \"question_id\": \"78604\",\n \"answer\": \"coins\"\n },\n {\n \"question_id\": \"78605\",\n \"answer\": \"his goose\"\n },\n {\n \"question_id\": \"78606\",\n \"answer\": \"The giant\"\n },\n {\n \"question_id\": \"78607\",\n \"answer\": \"my beans and their roots.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVII. \n\nTHE MEETING IN THE WOODS. \n\nRalph was so sore and stiff from his fall that he walked very slowly toward Westville. It seemed to him that he ached in every joint, and it was not long before he sought a soft grassy bank upon which to rest. \n\n\"If only somebody would come along with a wagon,\" he thought, as he gazed up and down the rather rough woodland road. \"I would willingly pay a half-dollar for a lift, as much as I need my money.\" \n\nThe boy was much exercised over his mother. He knew that she would be greatly worried over his prolonged absence. Never before had he remained away from home over night. \n\nNo wagon or any other vehicle appeared, and Ralph was forced to resume his journey on foot, dragging his tired and bruised body along as best he could. \n\nPresently he came to a tiny stream that flowed into Big Silver Lake. Here he stopped again, not only to rest, but also to bathe his temples and obtain a drink, for the water was both pure and cold. \n\nHe could not help but think of the strange manner in which he had been attacked. What had been the purpose of Martin and Toglet? \n\n\"If I did not know better, I would be almost forced to believe it was accidental,\" he thought. \"But in that case they would have come to my assistance, instead of taking the sloop and hurrying off with her.\" \n\nIt was so comfortable a spot at the brook that Ralph rested there longer than he had originally intended. But at last he arose and moved on, thankful that he had accomplished at least one-third of the distance home. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65515\": \"When was Ralph feeling bad?\"\n },\n {\n \"65516\": \"Where was he walking to?\"\n },\n {\n \"65517\": \"What did he hope would pass by?\"\n },\n {\n \"65518\": \"How much would he be willing to spend for that?\"\n },\n {\n \"65519\": \"How does his mom feel about him not being at his house?\"\n },\n {\n \"65520\": \"Has he ever stayed out all night?\"\n },\n {\n \"65521\": \"What body of water did he find?\"\n },\n {\n \"65522\": \"Where did the stream flow?\"\n },\n {\n \"65523\": \"Why did he stop there?\"\n },\n {\n \"65524\": \"What body part did he bathe?\"\n },\n {\n \"65525\": \"Did he do anything else there?\"\n },\n {\n \"65526\": \"Was the water warm?\"\n },\n {\n \"65527\": \"How many people witnessed his attack?\"\n },\n {\n \"65528\": \"Who didn't help him?\"\n },\n {\n \"65529\": \"How far has Ralph walked?\"\n },\n {\n \"65530\": \"Was the road smooth or rough?\"\n },\n {\n \"65531\": \"How long did Ralph stay at the brook?\"\n },\n {\n \"65532\": \"Where did he ache?\"\n },\n {\n \"65533\": \"Does he have lots of extra money?\"\n },\n {\n \"65534\": \"Was his attack odd?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65515\",\n \"answer\": \"When he sought a soft grassy bank\"\n },\n {\n \"question_id\": \"65516\",\n \"answer\": \"Westville\"\n },\n {\n \"question_id\": \"65517\",\n \"answer\": \"a wagon\"\n },\n {\n \"question_id\": \"65518\",\n \"answer\": \"half-dollar\"\n },\n {\n \"question_id\": \"65519\",\n \"answer\": \"greatly worried\"\n },\n {\n \"question_id\": \"65520\",\n \"answer\": \"Never\"\n },\n {\n \"question_id\": \"65521\",\n \"answer\": \"Lake\"\n },\n {\n \"question_id\": \"65522\",\n \"answer\": \"into Big Silver Lake\"\n },\n {\n \"question_id\": \"65523\",\n \"answer\": \"rest, but also to bathe\"\n },\n {\n \"question_id\": \"65524\",\n \"answer\": \"his temples\"\n },\n {\n \"question_id\": \"65525\",\n \"answer\": \"drink\"\n },\n {\n \"question_id\": \"65526\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65527\",\n \"answer\": \"lot of them\"\n },\n {\n \"question_id\": \"65528\",\n \"answer\": \"the onlookers\"\n },\n {\n \"question_id\": \"65529\",\n \"answer\": \"one-third of the distance home\"\n },\n {\n \"question_id\": \"65530\",\n \"answer\": \"rough\"\n },\n {\n \"question_id\": \"65531\",\n \"answer\": \"longer than he had originally intended\"\n },\n {\n \"question_id\": \"65532\",\n \"answer\": \"in every joint\"\n },\n {\n \"question_id\": \"65533\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65534\",\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 Harry is a boy with a learning disability. On his fourth birthday, he was given a pug called Millie. Two weeks after the dog's arrival, he was happier and calmer and said his first words, \"dog\" and \"mummy\". Just two months later, thieves stole the dog, and now the heartbroken little boy is back to where he started. He has refused to talk since losing his best friend. His mother was worried and gave him another dog, but he just \"pushed it away\". Mrs Hainsworth, his mother, says, \"My son is very sad. He'll go over to her cage and just beat on the bars. There is no word coming out, but you just know he's screaming 'Where is Millie' inside. Millie was really his best friend. They would play together happily for hours. None of his toys has ever held his attention that long. Now he has just completely turned quiet again. \"Harry suffers from a condition which affects his ability to speak and move. But the dog's being with him achieved more in days than months of speech therapy and physiotherapy had. Mrs Hainsworth says, \"My son was so happy when he saw Millie. Being with Millie changed him, and within two weeks he had said his first words and was working on saying 'dad'. Just last week, his teachers and I were saying how much Millie had helped him. And now this!\" Mrs Hainsworth is considering buying another pug in the hope that her son will accept it. Maureen Hennis of the charity, Pets as Therapy, says she has seen many cases of dogs helping people with speech problems. \"People may talk to a dog when they wouldn't like to talk to another human,\" she says. \"A dog doesn't care if words come out wrong.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33489\": \"Do dogs care if your words come out all wrong?\"\n },\n {\n \"33490\": \"Who might people talk to a dog instead of?\"\n },\n {\n \"33491\": \"Who has seen many cases of dogs helping people with speech issues?\"\n },\n {\n \"33492\": \"What kind of business does she run?\"\n },\n {\n \"33493\": \"What's her last name?\"\n },\n {\n \"33494\": \"What's the name of her business?\"\n },\n {\n \"33495\": \"Has she seen a lot of cases?\"\n },\n {\n \"33496\": \"Who is Harry?\"\n },\n {\n \"33497\": \"Does he have a disabililty?\"\n },\n {\n \"33498\": \"What kind?\"\n },\n {\n \"33499\": \"When was he given a pug?\"\n },\n {\n \"33500\": \"What was its name?\"\n },\n {\n \"33501\": \"How long did it take for the dog to have an effect on him?\"\n },\n {\n \"33502\": \"What was one of the noticeable results?\"\n },\n {\n \"33503\": \"And the other?\"\n },\n {\n \"33504\": \"What was his first word?\"\n },\n {\n \"33505\": \"And then what'd he say?\"\n },\n {\n \"33506\": \"How old was Harry when he got Millie?\"\n },\n {\n \"33507\": \"How long was it before thieves just up and stole the mutt?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33489\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33490\",\n \"answer\": \"toys\"\n },\n {\n \"question_id\": \"33491\",\n \"answer\": \"Maureen\"\n },\n {\n \"question_id\": \"33492\",\n \"answer\": \"charity\"\n },\n {\n \"question_id\": \"33493\",\n \"answer\": \"Hennis\"\n },\n {\n \"question_id\": \"33494\",\n \"answer\": \"Pets as Therapy\"\n },\n {\n \"question_id\": \"33495\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33496\",\n \"answer\": \"a boy\"\n },\n {\n \"question_id\": \"33497\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33498\",\n \"answer\": \"learning disability\"\n },\n {\n \"question_id\": \"33499\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33500\",\n \"answer\": \"Millie\"\n },\n {\n \"question_id\": \"33501\",\n \"answer\": \"Two week\"\n },\n {\n \"question_id\": \"33502\",\n \"answer\": \"happier\"\n },\n {\n \"question_id\": \"33503\",\n \"answer\": \"calmer\"\n },\n {\n \"question_id\": \"33504\",\n \"answer\": \"dog\"\n },\n {\n \"question_id\": \"33505\",\n \"answer\": \"mummy\"\n },\n {\n \"question_id\": \"33506\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"33507\",\n \"answer\": \"wo months\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The turtle and the fox were best friends. One day Turtle wanted to find Fox and ask if he would come fishing with him. Turtle went to foxes house. Fox was not home. Turtle went to look for Fox. Fox lived near several friends. Turtle went to Bear's house first. Bear lived next door to Fox. Bear answered the door, but Fox wasn't there. Turtle went to Duck's house next. Duck lived next door to Bear. Duck answered the door, but Fox wasn't there. Turtle went to Goose's house next. Goose answered the door, but Fox wasn't there. Finally, Turtle stopped at Rabbit's house. Rabbit wasn't home, and Fox wasn't there. Turtle was sad because he wanted to go fishing with his friend. He walked slowly toward the stream to go fishing by himself. When he got to the stream, he found Fox and Rabbit were there. They were fishing. They asked Turtle to join them. Turtle was very happy that he had found Fox, and he joined them for a fun afternoon of fishing in the stream.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38629\": \"Who was Turtle friends with?\"\n },\n {\n \"38630\": \"What did Turtle want to do with him?\"\n },\n {\n \"38631\": \"Where did Turtle find him?\"\n },\n {\n \"38632\": \"Who was he with?\"\n },\n {\n \"38633\": \"What were they doing?\"\n },\n {\n \"38634\": \"Where did Turtle look for Fox first?\"\n },\n {\n \"38635\": \"Where did he check next?\"\n },\n {\n \"38636\": \"Who lives two doors down from him?\"\n },\n {\n \"38637\": \"Who lives next to him?\"\n },\n {\n \"38638\": \"Where did Turtle check last?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38629\",\n \"answer\": \"fox\"\n },\n {\n \"question_id\": \"38630\",\n \"answer\": \"go fishing\"\n },\n {\n \"question_id\": \"38631\",\n \"answer\": \"at the stream\"\n },\n {\n \"question_id\": \"38632\",\n \"answer\": \"Rabbit\"\n },\n {\n \"question_id\": \"38633\",\n \"answer\": \"fishing\"\n },\n {\n \"question_id\": \"38634\",\n \"answer\": \"foxes house.\"\n },\n {\n \"question_id\": \"38635\",\n \"answer\": \"Bear's house\"\n },\n {\n \"question_id\": \"38636\",\n \"answer\": \"Duck's house\"\n },\n {\n \"question_id\": \"38637\",\n \"answer\": \"duck\"\n },\n {\n \"question_id\": \"38638\",\n \"answer\": \"Rabbit's house\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Marc Marquez barely held off the legendary Valentino Rossi in a nail-biting conclusion to the opening race of the 2014 MotoGP season in Qatar but judging by his performances this weekend the second race won't be as close. \n\nMarquez, the reigning world champion from Spain, finished well ahead of the pack Saturday in qualifying for the Grand Prix of the Americas in Austin, setting a record lap time and beating Repsol Honda teammate Dani Pedrosa by 0.289 seconds. \n\nHe was the fastest rider in practice yesterday, too. \n\n\"All weekend it has been going so well, but Sunday is the most important,\" Marquez told MotoGP's website. \"We will have to push very hard the whole race. \n\n\"It will be an important start to the race when the tires are new, we can make a difference there before they start to slide. I'm happy with the base we have and we'll try to fight for the victory. I'm sure we'll be fighting with Pedrosa, he is our strongest rival.\" \n\nGermany's Stefan Bradl starts third for LCR Honda, while two-time MotoGP world champion Jorge Lorenzo and Rossi, his fellow Yamaha racer, begin fifth and sixth, respectively. \n\n\"The progression from the first practice on Friday is very big, we were two seconds behind and now half a second,\" said Lorenzo. \"Anyway, as I thought, it's going to be a hard race tomorrow. \n\n\"Our goal is to fight for fourth or third position. I think it would be a good result because here our competitors are really strong so we need to make the best result we can. To finish on the podium would be a good thing.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16964\": \"Who barely won in Qatar?\"\n },\n {\n \"16965\": \"Who did he beat?\"\n },\n {\n \"16966\": \"What year?\"\n },\n {\n \"16967\": \"Where is Marquez from?\"\n },\n {\n \"16968\": \"How did he end in Austin?\"\n },\n {\n \"16969\": \"Did he set any records?\"\n },\n {\n \"16970\": \"What?\"\n },\n {\n \"16971\": \"What is the most important day according to an interview he gave?\"\n },\n {\n \"16972\": \"What does he need to do on that day?\"\n },\n {\n \"16973\": \"Who is his strongest competitor?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"16964\",\n \"answer\": \"Marc Marquez\"\n },\n {\n \"question_id\": \"16965\",\n \"answer\": \"Valentino Rossi\"\n },\n {\n \"question_id\": \"16966\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"16967\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"16968\",\n \"answer\": \"for the Grand Prix of the Americas\"\n },\n {\n \"question_id\": \"16969\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"16970\",\n \"answer\": \"record lap time\"\n },\n {\n \"question_id\": \"16971\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"16972\",\n \"answer\": \"make a difference there before they start to slide\"\n },\n {\n \"question_id\": \"16973\",\n \"answer\": \"Pedrosa\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Stockholm is the capital of Sweden and the most populous city in the Nordic countries; 942,370 people live in the municipality, approximately 1.5 million in the urban area, and 2.3 million in the metropolitan area. The city stretches across fourteen islands where Lake Mälaren flows into the Baltic Sea. Just outside the city and along the coast is the island chain of the Stockholm archipelago. The area has been settled since the Stone Age, in the 6th millennium BC, and was founded as a city in 1252 by Swedish statesman Birger Jarl. It is also the capital of Stockholm County. \n\nStockholm is the cultural, media, political, and economic centre of Sweden. The Stockholm region alone accounts for over a third of the country's GDP, and is among the top 10 regions in Europe by GDP per capita. It is an important global city, and the main centre for corporate headquarters in the Nordic region. The city is home to some of Europe's top ranking universities, such as the Stockholm School of Economics, Karolinska Institute and Royal Institute of Technology (KTH). It hosts the annual Nobel Prize ceremonies and banquet at the Stockholm Concert Hall and Stockholm City Hall. One of the city's most prized museums, the Vasa Museum, is the most visited non-art museum in Scandinavia. The Stockholm metro, opened in 1950, is well known for its decoration of the stations; it has been called the longest art gallery in the world. Sweden's national football arena is located north of the city centre, in Solna. Ericsson Globe, the national indoor arena, is in the southern part of the city. The city was the host of the 1912 Summer Olympics, and hosted the equestrian portion of the 1956 Summer Olympics otherwise held in Melbourne, Victoria, Australia.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48266\": \"What is the most populated city in Sweden?\"\n },\n {\n \"48267\": \"How many people live in the municipality?\"\n },\n {\n \"48268\": \"How many in the urban part?\"\n },\n {\n \"48269\": \"And the metro area?\"\n },\n {\n \"48270\": \"What year was the city founded?\"\n },\n {\n \"48271\": \"It's been settled since which time period?\"\n },\n {\n \"48272\": \"By whom was the city founded?\"\n },\n {\n \"48273\": \"Was he a statesman?\"\n },\n {\n \"48274\": \"What county is the city the capital of ?\"\n },\n {\n \"48275\": \"The city has some of Europe's highly ranked what?\"\n },\n {\n \"48276\": \"How many are given as examples?\"\n },\n {\n \"48277\": \"The first one is?\"\n },\n {\n \"48278\": \"And the second?\"\n },\n {\n \"48279\": \"And the last?\"\n },\n {\n \"48280\": \"What opened in 1950?\"\n },\n {\n \"48281\": \"It is the longest what in the world?\"\n },\n {\n \"48282\": \"The ceremonies of what prize is held in the city?\"\n },\n {\n \"48283\": \"What was held in the city in 1912?\"\n },\n {\n \"48284\": \"Is Stockholm the economic center of the country?\"\n },\n {\n \"48285\": \"What is the prized museum?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"48266\",\n \"answer\": \"Stockholm\"\n },\n {\n \"question_id\": \"48267\",\n \"answer\": \"942,370\"\n },\n {\n \"question_id\": \"48268\",\n \"answer\": \"About 1.5 million\"\n },\n {\n \"question_id\": \"48269\",\n \"answer\": \"2.3 million\"\n },\n {\n \"question_id\": \"48270\",\n \"answer\": \"1252\"\n },\n {\n \"question_id\": \"48271\",\n \"answer\": \"The Stone Age\"\n },\n {\n \"question_id\": \"48272\",\n \"answer\": \"Birger Jarl\"\n },\n {\n \"question_id\": \"48273\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48274\",\n \"answer\": \"Stockholm County\"\n },\n {\n \"question_id\": \"48275\",\n \"answer\": \"Universities\"\n },\n {\n \"question_id\": \"48276\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48277\",\n \"answer\": \"The Stockholm School of Economics\"\n },\n {\n \"question_id\": \"48278\",\n \"answer\": \"Karolinska Institute\"\n },\n {\n \"question_id\": \"48279\",\n \"answer\": \"Royal Institute of Technology (KTH)\"\n },\n {\n \"question_id\": \"48280\",\n \"answer\": \"The Stockholm metro\"\n },\n {\n \"question_id\": \"48281\",\n \"answer\": \"Art gallery\"\n },\n {\n \"question_id\": \"48282\",\n \"answer\": \"Nobel\"\n },\n {\n \"question_id\": \"48283\",\n \"answer\": \"Summer Olympics\"\n },\n {\n \"question_id\": \"48284\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48285\",\n \"answer\": \"The Vasa Museum\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n For their nick-of-time acts, Toby, a 2-year-old dog, and Winnie, a cute cat, were named Dog and Cat of the Year by the American Society for the Prevention of Cruelty to Animals. \n\nAs Amy Paul choked on a piece of apple at her home, her dog jumped up, landing hard on her chest and forcing the piece in her throat out. When the Keesling family of Indiana was about to be killed by carbon monoxide, their cat clawed at the wife Cathy's hair until she woke up and called for help. \n\nNo one could explain their timely heroics. \n\nBoth pets were rescued by their owners in _ -----Toby as a 4-week-old thrown into a garbage bin to die, and Winnie as a week-old orphan hiding under a barn, so helpless that Cathy's husband, Eric, had to feed her milk with an eyedropper. \n\nAs the Keeslings recalled it, a gas-driven pump being used broke down, spreading carbon monoxide through the house. By the time Winnie went to rescue, the couple's 14-year-old son was already unconscious. \"Winnie jumped on the bed and was clawing at me, with a kind of angry sound,\" Cathy Keesling said. The state police responding to her 911 call said the family was only minutes from death, judging by the amount of poisonous gas in the house. \n\nAmy Paul's husband was at his job when she took a midday break from making jewelry and bit into an apple. \"Normally I peel them, but I read in Good Housekeeping Magazine that the skin has all the nutrients, so I ate the skin, and that's what caused me to choke,\" she recalled. \"I couldn't breathe and I was in panic when Toby jumped on me. He never does that, but he did, and saved my life.\" \n\nBoth Toby and Winnie accompanied their owners to the awards luncheon.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99409\": \"Where was Toby thrown?\"\n },\n {\n \"99410\": \"and winnie?\"\n },\n {\n \"99411\": \"how old was she?\"\n },\n {\n \"99412\": \"how did she feed?\"\n },\n {\n \"99413\": \"by?\"\n },\n {\n \"99414\": \"what award did they win?\"\n },\n {\n \"99415\": \"Who choked?\"\n },\n {\n \"99416\": \"what does she do for a job?\"\n },\n {\n \"99417\": \"what did she do differntly?\"\n },\n {\n \"99418\": \"why?\"\n },\n {\n \"99419\": \"how did the dog help?\"\n },\n {\n \"99420\": \"does he normally do that?\"\n },\n {\n \"99421\": \"what was poisoning the Keeslings\"\n },\n {\n \"99422\": \"what was the gas?\"\n },\n {\n \"99423\": \"who was unconcious?\"\n },\n {\n \"99424\": \"who did the cat wake?\"\n },\n {\n \"99425\": \"how?\"\n },\n {\n \"99426\": \"was she silent?\"\n },\n {\n \"99427\": \"where do the Keeslings live?\"\n },\n {\n \"99428\": \"how close to death were the family?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99409\",\n \"answer\": \"He was thrown into a garbage bin\"\n },\n {\n \"question_id\": \"99410\",\n \"answer\": \"She was hiding under a barn\"\n },\n {\n \"question_id\": \"99411\",\n \"answer\": \"She was a week-old\"\n },\n {\n \"question_id\": \"99412\",\n \"answer\": \"She was fed with an eyedropper\"\n },\n {\n \"question_id\": \"99413\",\n \"answer\": \"By Cathy's husband, Eric\"\n },\n {\n \"question_id\": \"99414\",\n \"answer\": \"They won Dog and Cat of the Year by the American Society for the Prevention of Cruelty to Animals\"\n },\n {\n \"question_id\": \"99415\",\n \"answer\": \"Amy Paul\"\n },\n {\n \"question_id\": \"99416\",\n \"answer\": \"makes jewelry\"\n },\n {\n \"question_id\": \"99417\",\n \"answer\": \"She ate the skin\"\n },\n {\n \"question_id\": \"99418\",\n \"answer\": \"She read in Good Housekeeping Magazine that the skin has all the nutrients\"\n },\n {\n \"question_id\": \"99419\",\n \"answer\": \"he jumped on her\"\n },\n {\n \"question_id\": \"99420\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99421\",\n \"answer\": \"a gas-driven pump\"\n },\n {\n \"question_id\": \"99422\",\n \"answer\": \"carbon monoxide\"\n },\n {\n \"question_id\": \"99423\",\n \"answer\": \"the couple's 14-year-old son\"\n },\n {\n \"question_id\": \"99424\",\n \"answer\": \"Cathy Keesling\"\n },\n {\n \"question_id\": \"99425\",\n \"answer\": \"jumped on the bed and clawed her\"\n },\n {\n \"question_id\": \"99426\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99427\",\n \"answer\": \"Indiana\"\n },\n {\n \"question_id\": \"99428\",\n \"answer\": \"They were only minutes from death\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Australian National University (ANU) is a national research university located in Canberra, the capital of Australia. Its main campus in Acton encompasses seven teaching and research colleges, in addition to several national academies and institutes. \n\nFounded in 1946, it is the only university to have been created by the Parliament of Australia. Originally a postgraduate research university, ANU commenced undergraduate teaching in 1960 when it integrated the Canberra University College, which had been established in 1929 as a campus of the University of Melbourne. ANU enrolls 10,052 undergraduate and 10,840 postgraduate students and employs 3,753 staff. The university's endowment stood at A$1.13 billion in 2012. \n\nANU is ranked 1st in Australia & the whole of Oceania, and 20th in the world by the 2018 QS World University Rankings, and 47th in the world (second in Australia) by the 2016/17 \"Times Higher Education.\" ANU was named the world's 7th (first in Australia) most international university in a 2017 study by \"Times Higher Education\". In the 2016 \"Times Higher Education\" Global Employability University Ranking, an annual ranking of university graduates' employability, ANU was ranked 22nd in the world (first in Australia). ANU is ranked 100th (first in Australia) in the CWTS Leiden ranking.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67294\": \"when was it founded?\"\n },\n {\n \"67295\": \"where is it located?\"\n },\n {\n \"67296\": \"how many undergraduates does it have?\"\n },\n {\n \"67297\": \"how many does it employ?\"\n },\n {\n \"67298\": \"when was it named 7th in the world?\"\n },\n {\n \"67299\": \"who conducted the study?\"\n },\n {\n \"67300\": \"how many postgraduates does it take?\"\n },\n {\n \"67301\": \"what is the capital of Australia?\"\n },\n {\n \"67302\": \"how may teaching and research colleges does it have?\"\n },\n {\n \"67303\": \"where?\"\n },\n {\n \"67304\": \"where is this?\"\n },\n {\n \"67305\": \"what is it ranked in the whole of Oceania?\"\n },\n {\n \"67306\": \"is this the same in Australia?\"\n },\n {\n \"67307\": \"was it started by a single individual?\"\n },\n {\n \"67308\": \"then who?\"\n },\n {\n \"67309\": \"who did it merge with?\"\n },\n {\n \"67310\": \"when was that founded?\"\n },\n {\n \"67311\": \"what does CWTS Leiden rank it as?\"\n },\n {\n \"67312\": \"what was Canberra University a campus of?\"\n },\n {\n \"67313\": \"how much is it's endowment?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67294\",\n \"answer\": \"1946\"\n },\n {\n \"question_id\": \"67295\",\n \"answer\": \"Canberra\"\n },\n {\n \"question_id\": \"67296\",\n \"answer\": \"10,052\"\n },\n {\n \"question_id\": \"67297\",\n \"answer\": \"3,753\"\n },\n {\n \"question_id\": \"67298\",\n \"answer\": \"2017\"\n },\n {\n \"question_id\": \"67299\",\n \"answer\": \"Times Higher Education\"\n },\n {\n \"question_id\": \"67300\",\n \"answer\": \"10,840\"\n },\n {\n \"question_id\": \"67301\",\n \"answer\": \"Canberra\"\n },\n {\n \"question_id\": \"67302\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"67303\",\n \"answer\": \"in it's main campus\"\n },\n {\n \"question_id\": \"67304\",\n \"answer\": \"Acton\"\n },\n {\n \"question_id\": \"67305\",\n \"answer\": \"1st\"\n },\n {\n \"question_id\": \"67306\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67307\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67308\",\n \"answer\": \"the Parliament of Australia.\"\n },\n {\n \"question_id\": \"67309\",\n \"answer\": \"Canberra University College,\"\n },\n {\n \"question_id\": \"67310\",\n \"answer\": \"1929\"\n },\n {\n \"question_id\": \"67311\",\n \"answer\": \"100th (first in Australia)\"\n },\n {\n \"question_id\": \"67312\",\n \"answer\": \"University of Melbourne\"\n },\n {\n \"question_id\": \"67313\",\n \"answer\": \"A$1.13 billion\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jack Brown was very quiet as Dr. Johnson examined him. The doctor looked at the boy's throat , took his temperature and listened to his heart . Finally, he asked Jack's mother a few questions \"When did Jack begin to feel ill?\" \"This morning when he got up. He said he felt too sick to go to school today.\" \"What did he eat for breakfast?\" \"He got orange juice, two pieces of bread, an egg and a glass of milk.\" I see,\" the doctor asked Jack, \"How do you feel now,My boy?\" Jack answered \"Terrible, I think I'm going to die The doctor said, \"You won't die. In fact, you'll be fine by dinner time.\" \"Oh, doctor! Do you really think so?\" Jack's mother looked very glad, Dr. Johnson answered, \"Mrs. Brown, you son has a sickness that is common to boys at a time like this. It comes and goes quickly. Mrs. Brown said, \"But I don't understand.\" \"Today,\" the doctor told her, \"the most exciting football final of the World Cup is on TV. If Jack feel well enough to watch TV this afternoon, and I think he does. He will be fine when the final is over. It's the only cure I know of this sickness. Now, if you'll excuse me, I must go across the street to see the Fords boy, Steve. He seems to have the same thing as Jack has today.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63177\": \"Where did jack go\"\n },\n {\n \"63178\": \"What was his name?\"\n },\n {\n \"63179\": \"Was Jack sick?\"\n },\n {\n \"63180\": \"What did he eat for breakfast?\"\n },\n {\n \"63181\": \"What was wrong with Jack?\"\n },\n {\n \"63182\": \"Was Jacks mother glad he was not sick?\"\n },\n {\n \"63183\": \"When did the Dr say that Jack would feel better?\"\n },\n {\n \"63184\": \"What did the Dr say was the cure?\"\n },\n {\n \"63185\": \"Who else was sick?\"\n },\n {\n \"63186\": \"Did Steve have the same thing as Jack?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63177\",\n \"answer\": \"to the doctor\"\n },\n {\n \"question_id\": \"63178\",\n \"answer\": \"Dr. Johnson\"\n },\n {\n \"question_id\": \"63179\",\n \"answer\": \"He said he felt sick\"\n },\n {\n \"question_id\": \"63180\",\n \"answer\": \"orange juice, two pieces of bread, an egg and a glass of milk.\"\n },\n {\n \"question_id\": \"63181\",\n \"answer\": \"the World Cup was on TV and he wanted to watch it\"\n },\n {\n \"question_id\": \"63182\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63183\",\n \"answer\": \"by dinner time\"\n },\n {\n \"question_id\": \"63184\",\n \"answer\": \"watch TV this afternoon,\"\n },\n {\n \"question_id\": \"63185\",\n \"answer\": \"Fords boy, Steve\"\n },\n {\n \"question_id\": \"63186\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER V. \n\nTARDY REPENTANCE. \n\nSeth was as happy and proud as a boy well could be. \n\nNever before had he dared to remain very long near any particular engine lest some of the firemen should take it upon themselves to send him outside the lines, consequently all his \"points\" had been gathered as he moved from place to place. \n\nNow, however, he was in a certain sense attached to Ninety-four, and each member of the company had some kindly word with which to greet him, for it had become known to all that if the amateur did not actually save 'Lish Davis's life, he had assisted in preventing that gentleman from receiving severe injury. \n\nDan was enjoying the advantages thus arising from his partner's popularity, which was quite sufficient for him, since, not aspiring to become a fireman, he thought only of the present moment, and the privilege of remaining by the engine as if he were really a member of the Department was some thing of which he could boast in the future among his comrades. \n\nIt is true there was little of interest to be seen after the fire was apparently extinguished, when the men had nothing more to do than remain on the lookout for any smoldering embers which might be fanned into a blaze; but Seth's interest was almost as great as when the flames were fiercest. \n\nShortly after sunset hot coffee and sandwiches were served to the weary firemen, and Master Bartlett believed he had taken a long stride toward the goal he had set himself, when the captain shouted: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86812\": \"what is the title of the chapter?\"\n },\n {\n \"86813\": \"who is happy and proud?\"\n },\n {\n \"86814\": \"why?\"\n },\n {\n \"86815\": \"how had he gathered his points?\"\n },\n {\n \"86816\": \"what is he attached to?\"\n },\n {\n \"86817\": \"were the people there nice to him?\"\n },\n {\n \"86818\": \"had he done something to deserve it?\"\n },\n {\n \"86819\": \"who had he helped?\"\n },\n {\n \"86820\": \"how?\"\n },\n {\n \"86821\": \"who is Seth's partner?\"\n },\n {\n \"86822\": \"is he a fireman?\"\n },\n {\n \"86823\": \"was he happy for Seth?\"\n },\n {\n \"86824\": \"was he pretending to be a fireman?\"\n },\n {\n \"86825\": \"how?\"\n },\n {\n \"86826\": \"why was he doing that?\"\n },\n {\n \"86827\": \"boast to who?\"\n },\n {\n \"86828\": \"what food was served?\"\n },\n {\n \"86829\": \"and drink?\"\n },\n {\n \"86830\": \"when was it served?\"\n },\n {\n \"86831\": \"was seth interested after the fire was put out just as much as when it was blazing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86812\",\n \"answer\": \"TARDY REPENTANCE\"\n },\n {\n \"question_id\": \"86813\",\n \"answer\": \"Seth\"\n },\n {\n \"question_id\": \"86814\",\n \"answer\": \"Never before had he dared to remain very long near any particular engine\"\n },\n {\n \"question_id\": \"86815\",\n \"answer\": \"as he moved from place to place.\"\n },\n {\n \"question_id\": \"86816\",\n \"answer\": \"Ninety-four\"\n },\n {\n \"question_id\": \"86817\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86818\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86819\",\n \"answer\": \"Lish Davis\"\n },\n {\n \"question_id\": \"86820\",\n \"answer\": \"he had assisted in preventing that gentleman from receiving severe injury.\"\n },\n {\n \"question_id\": \"86821\",\n \"answer\": \"Dan\"\n },\n {\n \"question_id\": \"86822\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86823\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86824\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86825\",\n \"answer\": \"by remaining by the engine as if he were really a member\"\n },\n {\n \"question_id\": \"86826\",\n \"answer\": \"so he could boast in the future\"\n },\n {\n \"question_id\": \"86827\",\n \"answer\": \"among his comrades\"\n },\n {\n \"question_id\": \"86828\",\n \"answer\": \"sandwiches\"\n },\n {\n \"question_id\": \"86829\",\n \"answer\": \"hot coffee\"\n },\n {\n \"question_id\": \"86830\",\n \"answer\": \"Shortly after sunset\"\n },\n {\n \"question_id\": \"86831\",\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) -- The unexpected resignation of David Petraeus as head of the CIA must have come as a shock to many Americans, especially given his impeccable record as a distinguished military commander. But like the greatest heroes from Shakespeare, it would appear that he was not exempt from the time-honored temptations of human folly and self-destruction. \n\nAnd now the plot is thickening, as details emerge that Gen. John Allen, the commander of U.S. and NATO troops in Afghanistan, is involved somehow in the scandal. \n\nAs Americans are coming to terms with the revelation of Petraeus' adultery, on the other side of the Atlantic, the feeling among the French can be summed up by a blasé shrug. \n\nEvery time a steamy sexual intrigue is laid bare near the corridors of Washington power, the French don't see what all the fuss is about. It's only sex, after all. It's impossible to imagine a French political leader resigning because of an extramarital indiscretion. If this rule were observed, the French parliament would be nearly vacant. \n\nThe Petraeus affair: A lot more than sex \n\nThe past five French presidents are known to have had at least one -- and in some cases, many more -- mistresses throughout their political career. The current resident of the Elysée Palace, Francois Hollande, has been caught in the middle of an embarrassing dispute between his previous and current female companions. The French, long used to regarding their leaders with cynical detachment, have been following this tormented domestic feud with interest and maybe some contempt. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62012\": \"Who was head of the CIA?\"\n },\n {\n \"62013\": \"Is he still in charge?\"\n },\n {\n \"62014\": \"What happened?\"\n },\n {\n \"62015\": \"Who is in charge of US and NATO troops?\"\n },\n {\n \"62016\": \"In which country?\"\n },\n {\n \"62017\": \"How do the French feel about these events?\"\n },\n {\n \"62018\": \"Where does the French president live?\"\n },\n {\n \"62019\": \"How many French presidents haven't been faithful?\"\n },\n {\n \"62020\": \"Have any had more than one mistress?\"\n },\n {\n \"62021\": \"Who is the current president?\"\n },\n {\n \"62022\": \"How could Petraeus's record be characterized?\"\n },\n {\n \"62023\": \"What country is Petraeus from?\"\n },\n {\n \"62024\": \"How many temptations are mentioned?\"\n },\n {\n \"62025\": \"What's the first one?\"\n },\n {\n \"62026\": \"And the second?\"\n },\n {\n \"62027\": \"How many other people are in Hollande's dispute?\"\n },\n {\n \"62028\": \"Who is one?\"\n },\n {\n \"62029\": \"And the other?\"\n },\n {\n \"62030\": \"How does Hollande feel about it?\"\n },\n {\n \"62031\": \"Is it a domestic or international feud?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"62012\",\n \"answer\": \"David Petraeus\"\n },\n {\n \"question_id\": \"62013\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62014\",\n \"answer\": \"adultery\"\n },\n {\n \"question_id\": \"62015\",\n \"answer\": \"Gen. John Allen\"\n },\n {\n \"question_id\": \"62016\",\n \"answer\": \"Afghanistan\"\n },\n {\n \"question_id\": \"62017\",\n \"answer\": \"they don't see what all the fuss is about.\"\n },\n {\n \"question_id\": \"62018\",\n \"answer\": \"Elys\\u00c3\\u00a9e Palace\"\n },\n {\n \"question_id\": \"62019\",\n \"answer\": \"6 including the current\"\n },\n {\n \"question_id\": \"62020\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62021\",\n \"answer\": \"Francois Hollande,\"\n },\n {\n \"question_id\": \"62022\",\n \"answer\": \"a distinguished military commander.\"\n },\n {\n \"question_id\": \"62023\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"62024\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"62025\",\n \"answer\": \"human folly\"\n },\n {\n \"question_id\": \"62026\",\n \"answer\": \"self-destruction\"\n },\n {\n \"question_id\": \"62027\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"62028\",\n \"answer\": \"previous female companion\"\n },\n {\n \"question_id\": \"62029\",\n \"answer\": \"current female companion\"\n },\n {\n \"question_id\": \"62030\",\n \"answer\": \"embarrassed\"\n },\n {\n \"question_id\": \"62031\",\n \"answer\": \"domestic\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Fed Express rolls out of Shanghai with no signs of slowing down yet. \n\nRoger Federer beat Frenchman Gilles Simon to win his first Shanghai Masters crown Sunday and his fourth title of the season. \n\nThe victory will move him above Rafael Nadal, who has been laid low with appendicitis, and up to second in the world rankings. \n\n\"Usually everything slows down at the end of the season,\" Federer told reporters in China. \"Not for me this time. \n\n\"This year everything is going really well. I have so many highlights to look forward to for the end of the season, which is nice.\" \n\nWith just a handful of events to go until next month's season finale in London, Federer could still mathematically challenge Novak Djokovic to end the year as the world No.1. \n\nThe 33-year-old Swiss ace beat Djokovic - who arguably inflicted more pain by defeating Federer in the summer's Wimbledon final -- in the semifinals in Shanghai. \n\n\"I'm not even going to change my schedule because of it,\" Federer reflected on the possibility of regaining the number one spot. \n\n\"I haven't thought about it, to be quite honest. I mean, it's in Novak's racquet. He dictates. \n\n\"But nevertheless, I'm still going to be playing and hopefully playing well again.\" \n\nFederer did not have it easy against Simon, who took the Swiss to a tiebreak in the opening set and had set point at 6-5 up. \n\nBut the 17-time grand slam champion snuffed out the threat to take the first set breaker 8-6. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86006\": \"Who beat Gilles Simon?\"\n },\n {\n \"86007\": \"Where is Simon from?\"\n },\n {\n \"86008\": \"Is this Federer\\\"s third title this season?\"\n },\n {\n \"86009\": \"Which one is it?\"\n },\n {\n \"86010\": \"Is Rafael Nadal sick with something?\"\n },\n {\n \"86011\": \"What?\"\n },\n {\n \"86012\": \"According to Federer, do things speed up normally ?\"\n },\n {\n \"86013\": \"Who was he talking to when he talked of things slowing down?\"\n },\n {\n \"86014\": \"where were the reporters?\"\n },\n {\n \"86015\": \"How old is the Swiss player?\"\n },\n {\n \"86016\": \"When Federer beat Simon, what competition was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86006\",\n \"answer\": \"Roger Federer\"\n },\n {\n \"question_id\": \"86007\",\n \"answer\": \"He is a Frenchman\"\n },\n {\n \"question_id\": \"86008\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86009\",\n \"answer\": \"fourth\"\n },\n {\n \"question_id\": \"86010\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86011\",\n \"answer\": \"appendicitis\"\n },\n {\n \"question_id\": \"86012\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86013\",\n \"answer\": \"reporters\"\n },\n {\n \"question_id\": \"86014\",\n \"answer\": \"reporters in China\"\n },\n {\n \"question_id\": \"86015\",\n \"answer\": \"33\"\n },\n {\n \"question_id\": \"86016\",\n \"answer\": \"Shanghai Masters\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII \n\nCaptain Doane worked hard, pursuing the sun in its daily course through the sky, by the equation of time correcting its aberrations due to the earth's swinging around the great circle of its orbit, and charting Sumner lines innumerable, working assumed latitudes for position until his head grew dizzy. \n\nSimon Nishikanta sneered openly at what he considered the captain's inefficient navigation, and continued to paint water-colours when he was serene, and to shoot at whales, sea-birds, and all things hurtable when he was downhearted and sea-sore with disappointment at not sighting the Lion's Head peak of the Ancient Mariner's treasure island. \n\n\"I'll show I ain't a pincher,\" Nishikanta announced one day, after having broiled at the mast-head for five hours of sea-searching. \"Captain Doane, how much could we have bought extra chronometers for in San Francisco--good second-hand ones, I mean?\" \n\n\"Say a hundred dollars,\" the captain answered. \n\n\"Very well. And this ain't a piker's proposition. The cost of such a chronometer would have been divided between the three of us. I stand for its total cost. You just tell the sailors that I, Simon Nishikanta, will pay one hundred dollars gold money for the first one that sights land on Mr. Greenleaf's latitude and longitude.\" \n\nBut the sailors who swarmed the mast-heads were doomed to disappointment, in that for only two days did they have opportunity to stare the ocean surface for the reward. Nor was this due entirely to Dag Daughtry, despite the fact that his own intention and act would have been sufficient to spoil their chance for longer staring. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74454\": \"Who is the captain?\"\n },\n {\n \"74455\": \"Who didn't like his navigation?\"\n },\n {\n \"74456\": \"what's his last name?\"\n },\n {\n \"74457\": \"Is he a painter?\"\n },\n {\n \"74458\": \"What did he shoot at?\"\n },\n {\n \"74459\": \"and?\"\n },\n {\n \"74460\": \"and?\"\n },\n {\n \"74461\": \"had he seen the Lion's Head ?\"\n },\n {\n \"74462\": \"How did he feel?\"\n },\n {\n \"74463\": \"How long had he been at the mast head?\"\n },\n {\n \"74464\": \"Was he wondering about the price o f something?\"\n },\n {\n \"74465\": \"How much did the captain say they'd be?\"\n },\n {\n \"74466\": \"Were they new chronometers he was asking about?\"\n },\n {\n \"74467\": \"What kind of money was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74454\",\n \"answer\": \"Doane\"\n },\n {\n \"question_id\": \"74455\",\n \"answer\": \"Simon\"\n },\n {\n \"question_id\": \"74456\",\n \"answer\": \"Nishikanta\"\n },\n {\n \"question_id\": \"74457\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74458\",\n \"answer\": \"whales\"\n },\n {\n \"question_id\": \"74459\",\n \"answer\": \"sea-birds\"\n },\n {\n \"question_id\": \"74460\",\n \"answer\": \"all things hurtable\"\n },\n {\n \"question_id\": \"74461\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74462\",\n \"answer\": \"downhearted\"\n },\n {\n \"question_id\": \"74463\",\n \"answer\": \"five hours\"\n },\n {\n \"question_id\": \"74464\",\n \"answer\": \"have been divided\"\n },\n {\n \"question_id\": \"74465\",\n \"answer\": \"hundred\"\n },\n {\n \"question_id\": \"74466\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74467\",\n \"answer\": \"gold\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jane Austen was born in the English countryside more than 200 years ago. She lived a simple life. She seldom travelled. She never married and she died from illness when she was only 41. \n\nHowever, people all over the world remember her. Why? It is because Jane Austen is the author of some of the best-loved novels in the English language. These novels include Emma, Pride and Prejudice, Sense and Sensibility and Persuasion. \n\nJane completed her last novel Persuasion in 1816, but it was not published until after her death. Persuasion is partly based on Jane's naval brother. \n\nAnne, the daughter of Sir Walter Elliot, falls in love with Captain Wentworth, a person of a lower social position. But she breaks off the engagement when persuaded by her friend Lady Russell that such a match is unworthy. The breakup produces in Anne a deep and long-lasting regret. Eight years later, Wentworth returns from sea a rich and successful captain. He finds Anne's family on the edge of financial ruin. Anne and the captain rediscover their love and get married. \n\nJane Austen once compared her writing to painting on a little bit of ivory , two inches square. Readers of Persuasion will see that neither her skill of delicate, ironic observations on social custom, love, and marriage nor her ability to apply a sharp focus to English manners and morals has abandoned her in her final finished work. \n\nPersuasion has produced three film adaptations: a 1995 version starring Amanda Root and Ciaran Hinds, a 2007 TV miniseries with Sally Hawkins and Rupert Penry-Jones, and a 1971 miniseries with Ann Firbank and Bryan Marshall. \n\nPeople who are interested in Jane Austen can still visit many of the places she visited and lived. These places include the village of Steventon, although her family house is now gone. Many of the places Jane visited in Bath are still there. You can visit Jane Austen's home in Chawton, where she did her best writing, and Winchester, where she died.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11144\": \"When did Jane Austen live?\"\n },\n {\n \"11145\": \"Why is her life memorable?\"\n },\n {\n \"11146\": \"like what?\"\n },\n {\n \"11147\": \"which was her last?\"\n },\n {\n \"11148\": \"Did she have real inspiration?\"\n },\n {\n \"11149\": \"who?\"\n },\n {\n \"11150\": \"was it only a book?\"\n },\n {\n \"11151\": \"what else?\"\n },\n {\n \"11152\": \"where they made the same year?\"\n },\n {\n \"11153\": \"Where did Jane live?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11144\",\n \"answer\": \"more than 200 years ago\"\n },\n {\n \"question_id\": \"11145\",\n \"answer\": \"she is the author of many books\"\n },\n {\n \"question_id\": \"11146\",\n \"answer\": \"Emma, Pride and Prejudice, Sense and Sensibility and Persuasion\"\n },\n {\n \"question_id\": \"11147\",\n \"answer\": \"Persuasion\"\n },\n {\n \"question_id\": \"11148\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11149\",\n \"answer\": \"her brother\"\n },\n {\n \"question_id\": \"11150\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11151\",\n \"answer\": \"three film adaptations\"\n },\n {\n \"question_id\": \"11152\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11153\",\n \"answer\": \"Steventon\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n London, England (CNN) -- Former Bosnian Serb leader Radovan Karadzic finally took the stand Monday at the U.N.'s international tribunal at The Hague to defend himself against genocide charges stemming from the 1992-1995 Bosnian conflict. \n\nFor CNN's Senior International Correspondent Nic Robertson, the 64 year-old was as defiant and unrepentant as the man he recalled meeting outside Sarajevo in 1993-94, as Bosnian-Serb forces shelled the city. \n\nKaradzic, who faces 11 charges of war crimes, crimes against humanity, and genocide during the war, told the tribunal the Serb cause is \"just and holy,\" and dismissed as myths two of the worst atrocities of a conflict that claimed 100,000 lives -- the three-year siege of Sarajevo and the Srebrenica massacre in 1995. \n\nHe even claimed that the image of the Muslims as victims was untrue and that they were the first to attack. Their fighters \"had blood up to their shoulders,\" he said. \n\n\"I will defend that nation of ours and their cause that is just and holy,\" he said in his defiant opening statement. The aim of the \"Muslim plotters,\" he added, was \"100 percent power, as it was in the Ottoman Empire.\" \n\n\"This is reminiscent of those days,\" said Robertson, who reported from the Bosnian capital during the war. \"These were the exact same justifications: 'we're the ones that had been under attack, we're the ones being wronged.' \n\n\"It's very telling that he's not trying to address specific issues, such as the Srebrenica massacre and such like, which are going to be the main parts of the prosecution. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43581\": \"who is reporting?\"\n },\n {\n \"43582\": \"his title?\"\n },\n {\n \"43583\": \"who does he work for?\"\n },\n {\n \"43584\": \"who is the report about?\"\n },\n {\n \"43585\": \"his age?\"\n },\n {\n \"43586\": \"did he do something bad?\"\n },\n {\n \"43587\": \"where is the trial?\"\n },\n {\n \"43588\": \"what is the charge?\"\n },\n {\n \"43589\": \"anything else?\"\n },\n {\n \"43590\": \"did many people die?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43581\",\n \"answer\": \"Nic Robertson\"\n },\n {\n \"question_id\": \"43582\",\n \"answer\": \"Senior International Correspondent\"\n },\n {\n \"question_id\": \"43583\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"43584\",\n \"answer\": \"Radovan Karadzic\"\n },\n {\n \"question_id\": \"43585\",\n \"answer\": \"64\"\n },\n {\n \"question_id\": \"43586\",\n \"answer\": \"he is on trial for bad things\"\n },\n {\n \"question_id\": \"43587\",\n \"answer\": \"the U.N.'s international tribunal at The Hague\"\n },\n {\n \"question_id\": \"43588\",\n \"answer\": \"genocide\"\n },\n {\n \"question_id\": \"43589\",\n \"answer\": \"war crimes and crimes against humanity\"\n },\n {\n \"question_id\": \"43590\",\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 Rome had the Forum . London has Speaker's Corner. Now always-on-the-go New Yorkers have Liz and Bill. \n\nLiz and Bill, two college graduates in their early 20s, have spent a whole year trying to have thousands of people talk to them in subway stations and on busy street corners. And just talk. \n\nUsing a 2-foot-tall sign that says, \" Talk to Me,\" they attract conversationalists, who one evening included a mental patient, and men in business suits. \n\nThey don't collect money. They don't push religion . So what's the point? \n\n\" To see what happens,\" said Liz. \" We simply enjoy life with open talk.\" \n\nShortly after the September 11, 2001 attacks, they decided to walk from New York City to Washington, a 270-mile trip. They found they loved talking to people along the way and wanted to continue talking with strangers after their return. \n\n\" It started as a crazy idea.\" Liz said. \" We were so curious about all the strangers walking by with their life stories. People will talk to us about anything: their job, their clothes, their childhood experiences, anything.\" \n\nDenise wanted to talk about an exam she was about to take. She had stopped by for the second time in two days, to let the two listeners know how it went. \n\nMarcia had led her husband to a serious disease. \"That was very heavy on my mind.\" Marcia said. \" To be able to talk about it to total strangers was very good,\" she explained. \n\nTo celebrate a year of talking, the two held a get-together in a city park for all the people they had met over the past year. A few hundred people appeared, as well as some television cameramen and reporters. \n\nThey may plan more parties or try to attract more people to join their informal talks. Some publishers have expressed interest in a book, something the two say they'll consider before making a decision.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91435\": \"How old are Liz and Bill?\"\n },\n {\n \"91436\": \"What do they want people to do?\"\n },\n {\n \"91437\": \"Why?\"\n },\n {\n \"91438\": \"Do they like listening?\"\n },\n {\n \"91439\": \"What city are they doing this in?\"\n },\n {\n \"91440\": \"Have they ever done this anywhere else?\"\n },\n {\n \"91441\": \"Where?\"\n },\n {\n \"91442\": \"How did they get there?\"\n },\n {\n \"91443\": \"How far is Washington from NYC?\"\n },\n {\n \"91444\": \"Do they have a sign or anything?\"\n },\n {\n \"91445\": \"How big is it?\"\n },\n {\n \"91446\": \"What does it say?\"\n },\n {\n \"91447\": \"Do any people return to talk again?\"\n },\n {\n \"91448\": \"Did they mention anyone in particular?\"\n },\n {\n \"91449\": \"What did she talk about?\"\n },\n {\n \"91450\": \"Did Bill and Liz go to college?\"\n },\n {\n \"91451\": \"Did they finish?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91435\",\n \"answer\": \"early 20s\"\n },\n {\n \"question_id\": \"91436\",\n \"answer\": \"have people talk to them\"\n },\n {\n \"question_id\": \"91437\",\n \"answer\": \"To see what happens\"\n },\n {\n \"question_id\": \"91438\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91439\",\n \"answer\": \"New York City\"\n },\n {\n \"question_id\": \"91440\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91441\",\n \"answer\": \"Washington,\"\n },\n {\n \"question_id\": \"91442\",\n \"answer\": \"walked\"\n },\n {\n \"question_id\": \"91443\",\n \"answer\": \"a 270-mile trip\"\n },\n {\n \"question_id\": \"91444\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91445\",\n \"answer\": \"2-foot-tall\"\n },\n {\n \"question_id\": \"91446\",\n \"answer\": \"Talk to Me,\"\n },\n {\n \"question_id\": \"91447\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91448\",\n \"answer\": \"Denise\"\n },\n {\n \"question_id\": \"91449\",\n \"answer\": \"an exam\"\n },\n {\n \"question_id\": \"91450\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91451\",\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 Kanye's \"Fantasy\" conquered reality; the Black Keys locked into a groove; Arcade Fire burned down the suburbs. \n\n(Rolling Stone) -- 5. Jamey Johnson, \"The Guitar Song\" 1: What does Jamey Johnson keep under all of that hair? Songs. Nashville's gruffest and grittiest star turns out to be its most reliable traditionalist, a Music Row pro who can write a song for every emotional season. Johnson pulled out a whole slew of them -- 25, clocking in north of 105 minutes -- for his double-disc fourth album: acoustic confessions and rugged boogie blues, big weepers and grim reapers, cover tunes and novelty ditties, not to mention \"California Riots\" and \"Playing the Part,\" a pair of fiercely funny, unrepentantly redneck swipes at the frou-frou blue states. \n\n4. Arcade Fire, \"The Suburbs\" Arcade Fire don't do anything small -- so leave it to the Montreal collective to make an album of vast, orchestral rock that locates the battle for the human soul amid big houses and manicured lawns. \n\n\"The Suburbs\" is the band's most adventurous album yet: See the psychotic speed strings on \"Empty Room,\" the Crazy Horse rush of \"Month of May,\" the synth-pop disco of \"Sprawl II (Mountains Beyond Mountains).\" Win Butler and his wife, Régine Chassagne, sing about suburban boredom, fear of change and wanting to have a kid of their own -- always scaling their intimate confessions to arena-rock levels and finding beauty wherever they look. \n\n3. Elton John and Leon Russell, \"The Union\" Two rock giants, one largely forgotten, rekindle a friendship and make music that ranks with their best. Producer T Bone Burnett delivers his most spectacular production in memory, filled with shining steel guitar, chortling brass and gospel-time choirs. Ultimately, it's Russell's voice that shines brightest, drawing on the entire history of American popular music in its canny, vulnerable, knowing croon. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85415\": \"Who is #5 on the list?\"\n },\n {\n \"85416\": \"what is his occupation?\"\n },\n {\n \"85417\": \"What did he do?\"\n },\n {\n \"85418\": \"What style were they in?\"\n },\n {\n \"85419\": \"What music appeared on his record?\"\n },\n {\n \"85420\": \"Who is 4th?\"\n },\n {\n \"85421\": \"Where are they from?\"\n },\n {\n \"85422\": \"Did they have a work made?\"\n },\n {\n \"85423\": \"What was its name?\"\n },\n {\n \"85424\": \"Any singles?\"\n },\n {\n \"85425\": \"Can you name any?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85415\",\n \"answer\": \"Jamey Johnson\"\n },\n {\n \"question_id\": \"85416\",\n \"answer\": \"musician\"\n },\n {\n \"question_id\": \"85417\",\n \"answer\": \"wrote 25 songs\"\n },\n {\n \"question_id\": \"85418\",\n \"answer\": \"acoustic confessions and rugged boogie blues,\"\n },\n {\n \"question_id\": \"85419\",\n \"answer\": \"cover tunes and novelty ditties\"\n },\n {\n \"question_id\": \"85420\",\n \"answer\": \"Arcade Fire\"\n },\n {\n \"question_id\": \"85421\",\n \"answer\": \"Montreal\"\n },\n {\n \"question_id\": \"85422\",\n \"answer\": \"an album\"\n },\n {\n \"question_id\": \"85423\",\n \"answer\": \"The Suburbs\"\n },\n {\n \"question_id\": \"85424\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85425\",\n \"answer\": \"Empty Room\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVII \n\nPhilippa and Helen looked at one another a little dolefully across the luncheon table. \n\n\"I supposes one misses the child,\" Helen said. \n\n\"I feel too depressed for words,\" Philippa admitted. \n\n\"A few days ago,\" Helen reminded her companion, \"we were getting all the excitement that was good for any one.\" \n\n\"And a little more,\" Philippa agreed. \"I don't know why things seem so flat now. We really ought to be glad that nothing terrible has happened.\" \n\n\"What with Henry and Mr. Lessingham both away,\" Helen continued, \"and Captain Griffiths not coming near the place, we really have reverted to the normal, haven't we? I wonder--if Mr. Lessingham has gone back.\" \n\n\"I do not think so,\" Philippa murmured. \n\nHelen frowned slightly. \n\n\"Personally,\" she said, with some emphasis, \"I hope that he has.\" \n\n\"If we are considering the personal point of view only,\" Philippa retorted, \"I hope that he has not.\" \n\nHelen looked her disapproval. \n\n\"I should have thought that you had had enough playing with fire,\" she observed. \n\n\"One never has until one has burned one's fingers,\" Philippa sighed. \"I know perfectly well what is the matter with you,\" she continued severely. \"You are fretting because curried chicken is Dick's favourite dish.\" \n\n\"I am not such a baby,\" Helen protested. \"All the same, it does make one think. I wonder--\" \n\n\"I know exactly what you were going to say,\" Philippa interrupted. \"You were going to say that you wondered whether Mr. Lessingham would keep his promise.\" \n\n\"Whether he would be able to,\" Helen corrected. \"It does seem so impossible, doesn't it?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33190\": \"What was Dick's favorite meal?\"\n },\n {\n \"33191\": \"Who does this worry?\"\n },\n {\n \"33192\": \"Who hopes that Lessingham has returned?\"\n },\n {\n \"33193\": \"Does Philippa agree?\"\n },\n {\n \"33194\": \"Out of what consideration?\"\n },\n {\n \"33195\": \"Where were the two talking?\"\n },\n {\n \"33196\": \"Were they cheerful?\"\n },\n {\n \"33197\": \"Whom did they miss?\"\n },\n {\n \"33198\": \"What is the child's name?\"\n },\n {\n \"33199\": \"Is Lessingham the only one gone?\"\n },\n {\n \"33200\": \"Who else is gone?\"\n },\n {\n \"33201\": \"Who won't come near?\"\n },\n {\n \"33202\": \"How does Philippa feel?\"\n },\n {\n \"33203\": \"Who says the other has played with fire?\"\n },\n {\n \"33204\": \"Has Philippa had enough of it?\"\n },\n {\n \"33205\": \"Does Helen deny being something?\"\n },\n {\n \"33206\": \"What?\"\n },\n {\n \"33207\": \"What does she wonder about Lessingham?\"\n },\n {\n \"33208\": \"To do what?\"\n },\n {\n \"33209\": \"Does it seem likely to her?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33190\",\n \"answer\": \"curried chicken\"\n },\n {\n \"question_id\": \"33191\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"33192\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"33193\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33194\",\n \"answer\": \"personal point of view\"\n },\n {\n \"question_id\": \"33195\",\n \"answer\": \"across the luncheon table\"\n },\n {\n \"question_id\": \"33196\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33197\",\n \"answer\": \"the child\"\n },\n {\n \"question_id\": \"33198\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"33199\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33200\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"33201\",\n \"answer\": \"Captain Griffiths\"\n },\n {\n \"question_id\": \"33202\",\n \"answer\": \"depressed\"\n },\n {\n \"question_id\": \"33203\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"33204\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"33205\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33206\",\n \"answer\": \"a baby\"\n },\n {\n \"question_id\": \"33207\",\n \"answer\": \"Whether he would be able to\"\n },\n {\n \"question_id\": \"33208\",\n \"answer\": \"keep his promise\"\n },\n {\n \"question_id\": \"33209\",\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 Tony Hawken, 57, is divorcing his wife Xiu Li, 51, Britain's wealthiest woman entrepreneur , because he says he doesn't like being rich and is 'not in the habit' of spending lots of money. \n\nThe pair traded up their semi-detached home in South Norwood, London, and bought a PS1.5million house in Surrey. \n\nLi, who is now worth $1.2billion (PS700million) according to Forbes, quickly settled into a life which included sipping a PS900 bottle of wine on a luxurious yacht. \n\nHowever, Mr Hawken says he felt more comfortable getting lunch in his local Wetherspoon's. \n\nDespite his sudden wealth he continued to buy books from charity shops, and _ dear clothes. \n\nIn an interview with The Times, he said: 'I think it made me uncomfortable because I'm not in the habit, I don't like spending lots of money -- I've been brought up that way. \n\n'Until recently I was never a wealthy person. I've been moderately comfortable because I have been careful with my money.' \n\nNow the couple have decided to part, Mr Hawken will walk away with just PS1million, but says it will be enough for him. \n\nHe added: 'I have got a settlement which is not great, but it's enough for me because I don't have an extravagant lifestyle. I won't have to work if I'm careful.' \n\nOn a recent trip to China, Mr Hawken said his wife took him on a yacht and treated him to a PS900 bottle of wine, but he prefers his local Wetherspoon pub. \n\n'I'm getting a little pay when you consider her potential wealth, but I don't really want to fight it.' \n\nMr Hawken met Li on a blind date while he was still a teacher and she was studying English. \n\nThe couple married, but as Li's business took off the couple spent more and more time apart. Mr Hawken says the couple have spent most of the relationship apart. \n\nFar from driving them apart, Mr Hawken believes the distance kept them together, and says they would have divorced a long time ago if they were under the same roof. \n\nMr Hawken says his only regret is not getting a divorce sooner, but he didn't push for it over fears it would affect the couple's teenage son William, now 17. \n\nMr Hawken no longer teaches full-time, but instead gives free tuition to under-privileged children.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86760\": \"Who is separating?\"\n },\n {\n \"86761\": \"Where are they located?\"\n },\n {\n \"86762\": \"what town?\"\n },\n {\n \"86763\": \"before that?\"\n },\n {\n \"86764\": \"How much is the building?\"\n },\n {\n \"86765\": \"how much is LJ worth?\"\n },\n {\n \"86766\": \"what did he still buy?\"\n },\n {\n \"86767\": \"How much does Hawken get after the split?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86760\",\n \"answer\": \"Tony Hawken and Xiu Li\"\n },\n {\n \"question_id\": \"86761\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"86762\",\n \"answer\": \"Surrey.\"\n },\n {\n \"question_id\": \"86763\",\n \"answer\": \"South Norwood, London,\"\n },\n {\n \"question_id\": \"86764\",\n \"answer\": \"1.5million\"\n },\n {\n \"question_id\": \"86765\",\n \"answer\": \"$1.2billion\"\n },\n {\n \"question_id\": \"86766\",\n \"answer\": \"lunch in his local Wetherspoon's.\"\n },\n {\n \"question_id\": \"86767\",\n \"answer\": \"PS1million\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Something caught my eyes when I was walking down the street. Two silver coins were shining in a melting snow bank, so I dug through the snow looking for more. Of course, I just ended up with really cold hands. I slipped the two coins into my pocket and went home, colder but richer. I began to think about how to spend the money... Two days later, Mary and her little sister were searching the snow banks. \"Finders are keepers\" was my first thought. I didn't want to hand them out even though Susy was already crying. \" I dropped them right here,\" she said between tears. Her hands were cold and red for digging in the snow. Maybe they slid down the street with the melting snow. Let's dig over here.\" Mary's voice sounded confident. \"They'll never know\" was my second thought, and I walked past them. \" Phil, have you seen two sliver coins?\" asked Mary. Susy looked up from digging. _ . \"Tell a lie\" was my third thought. \"As a matter of fact,\" I hesitated ,\"I dug two coins out of that snow bank just a few days ago. I wondered who might have lost them.\" Susy hugged me with a big smile, \"Oh, thank you, thank you.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29414\": \"What was I looking for?\"\n },\n {\n \"29415\": \"Where?\"\n },\n {\n \"29416\": \"Who lost them?\"\n },\n {\n \"29417\": \"Did I find more than two coins?\"\n },\n {\n \"29418\": \"Did I want to keep them at first?\"\n },\n {\n \"29419\": \"How did Susy feel?\"\n },\n {\n \"29420\": \"Was she in tears?\"\n },\n {\n \"29421\": \"Did they think they would find the coins?\"\n },\n {\n \"29422\": \"Where?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29414\",\n \"answer\": \"Two silver coins\"\n },\n {\n \"question_id\": \"29415\",\n \"answer\": \"in a melting snow bank\"\n },\n {\n \"question_id\": \"29416\",\n \"answer\": \"Mary and her little sister\"\n },\n {\n \"question_id\": \"29417\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29418\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"29419\",\n \"answer\": \"Sad\"\n },\n {\n \"question_id\": \"29420\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"29421\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"29422\",\n \"answer\": \"Where she dropped them\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Islamabad, Pakistan -- A Pakistani government minister who had said he was getting death threats because of his opposition to a controversial blasphemy law was shot to death Wednesday. \n\nShahbaz Bhatti was the only Christian member of the Cabinet in Pakistan, where 95 percent of people are Muslim. He served as the government's minister of minority affairs. \n\nHe was shot and killed in Islamabad on Wednesday morning, Pakistani police said. The Taliban claimed responsibility. \n\n\"(The) assassination of Bhatti is a message to all of those who are against Pakistan's blasphemy laws,\" said Ihsanullah Ihsan, a Taliban spokesman. \n\nBhatti had been critical of the law, saying at one point, \"I am ready to sacrifice my life for the principled stand I have taken because the people of Pakistan are being victimized under the pretense of blasphemy law.\" \n\nOther officials have also been targeted for opposing the blasphemy law, which makes it a crime punishable by death to insult Islam, the Quran or the Prophet Mohammed. \n\nIn January, the governor of Punjab province, Salman Taseer, was assassinated by his security guard because he spoke out against the law. \n\nAfter Taseer's death, Bhatti pledged to continue pushing for amendments in the law. \n\n\"I will campaign for this ... these fanatics cannot stop me from moving any further steps against the misuse of (the) blasphemy law,\" he said at the time. \n\nBhatti said he was facing threats on his life, but was not afraid. \n\n\"I was told by the religious extremists that if you will make any amendments in this law, you will be killed,\" he said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58662\": \"Who was getting death threats?\"\n },\n {\n \"58663\": \"Of what country?\"\n },\n {\n \"58664\": \"What was his name?\"\n },\n {\n \"58665\": \"What happened to him?\"\n },\n {\n \"58666\": \"Why?\"\n },\n {\n \"58667\": \"When?\"\n },\n {\n \"58668\": \"What was his religion?\"\n },\n {\n \"58669\": \"Who shot him?\"\n },\n {\n \"58670\": \"What was he against?\"\n },\n {\n \"58671\": \"Was he the only person that opposed them?\"\n },\n {\n \"58672\": \"Was he scared?\"\n },\n {\n \"58673\": \"Was anyone else killed for the same reason?\"\n },\n {\n \"58674\": \"Who?\"\n },\n {\n \"58675\": \"Who killed him?\"\n },\n {\n \"58676\": \"When?\"\n },\n {\n \"58677\": \"What was Taseer's position?\"\n },\n {\n \"58678\": \"What was his job?\"\n },\n {\n \"58679\": \"Of what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58662\",\n \"answer\": \"government minister\"\n },\n {\n \"question_id\": \"58663\",\n \"answer\": \"Pakistan\"\n },\n {\n \"question_id\": \"58664\",\n \"answer\": \"Shahbaz Bhatti\"\n },\n {\n \"question_id\": \"58665\",\n \"answer\": \"shot and killed\"\n },\n {\n \"question_id\": \"58666\",\n \"answer\": \"blasphemy\"\n },\n {\n \"question_id\": \"58667\",\n \"answer\": \"Wednesday morning\"\n },\n {\n \"question_id\": \"58668\",\n \"answer\": \"Christian\"\n },\n {\n \"question_id\": \"58669\",\n \"answer\": \"Taliban\"\n },\n {\n \"question_id\": \"58670\",\n \"answer\": \"blasphemy laws\"\n },\n {\n \"question_id\": \"58671\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"58672\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58673\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58674\",\n \"answer\": \"Salman Taseer\"\n },\n {\n \"question_id\": \"58675\",\n \"answer\": \"security guard\"\n },\n {\n \"question_id\": \"58676\",\n \"answer\": \"In January\"\n },\n {\n \"question_id\": \"58677\",\n \"answer\": \"against\"\n },\n {\n \"question_id\": \"58678\",\n \"answer\": \"governor\"\n },\n {\n \"question_id\": \"58679\",\n \"answer\": \"Punjab\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 4 \n\n\"What a pity it is, Elinor,\" said Marianne, \"that Edward should have no taste for drawing.\" \n\n\"No taste for drawing!\" replied Elinor, \"why should you think so? He does not draw himself, indeed, but he has great pleasure in seeing the performances of other people, and I assure you he is by no means deficient in natural taste, though he has not had opportunities of improving it. Had he ever been in the way of learning, I think he would have drawn very well. He distrusts his own judgment in such matters so much, that he is always unwilling to give his opinion on any picture; but he has an innate propriety and simplicity of taste, which in general direct him perfectly right.\" \n\nMarianne was afraid of offending, and said no more on the subject; but the kind of approbation which Elinor described as excited in him by the drawings of other people, was very far from that rapturous delight, which, in her opinion, could alone be called taste. Yet, though smiling within herself at the mistake, she honoured her sister for that blind partiality to Edward which produced it. \n\n\"I hope, Marianne,\" continued Elinor, \"you do not consider him as deficient in general taste. Indeed, I think I may say that you cannot, for your behaviour to him is perfectly cordial, and if THAT were your opinion, I am sure you could never be civil to him.\" \n\nMarianne hardly knew what to say. She would not wound the feelings of her sister on any account, and yet to say what she did not believe was impossible. At length she replied: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29097\": \"Does Elinor agree with Marianne?\"\n },\n {\n \"29098\": \"Who were they speaking about?\"\n },\n {\n \"29099\": \"What does Marianne think of Edward?\"\n },\n {\n \"29100\": \"were Marianne and Elinor related?\"\n },\n {\n \"29101\": \"how?\"\n },\n {\n \"29102\": \"Does Edward draw?\"\n },\n {\n \"29103\": \"Has he had many oppurtunities to learn to draw?\"\n },\n {\n \"29104\": \"if he had, what does Elinor believe?\"\n },\n {\n \"29105\": \"Does he give his opinion on many deawings?\"\n },\n {\n \"29106\": \"why not?\"\n },\n {\n \"29107\": \"What does Elinor say he is not deficient in?\"\n },\n {\n \"29108\": \"Does Marianne agree?\"\n },\n {\n \"29109\": \"how does she feel about the matter of his taste?\"\n },\n {\n \"29110\": \"What was Marianne afraid to do?\"\n },\n {\n \"29111\": \"who?\"\n },\n {\n \"29112\": \"instead she chose to honour her for what?\"\n },\n {\n \"29113\": \"who produced that in her?\"\n },\n {\n \"29114\": \"How does Marianne act toward Edward?\"\n },\n {\n \"29115\": \"Was Marianne going to agree with Elinor even though she did not believe it?\"\n },\n {\n \"29116\": \"How did she describe saying what she did not believe?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29097\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29098\",\n \"answer\": \"Edward\"\n },\n {\n \"question_id\": \"29099\",\n \"answer\": \"that Edward has no taste for drawing.\"\n },\n {\n \"question_id\": \"29100\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"29101\",\n \"answer\": \"Sisters\"\n },\n {\n \"question_id\": \"29102\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29103\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29104\",\n \"answer\": \"He would have drawn very well.\"\n },\n {\n \"question_id\": \"29105\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29106\",\n \"answer\": \"He distrusts his own judgment.\"\n },\n {\n \"question_id\": \"29107\",\n \"answer\": \"Natural taste\"\n },\n {\n \"question_id\": \"29108\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29109\",\n \"answer\": \"That he was far from having any.\"\n },\n {\n \"question_id\": \"29110\",\n \"answer\": \"Offending\"\n },\n {\n \"question_id\": \"29111\",\n \"answer\": \"Elinor\"\n },\n {\n \"question_id\": \"29112\",\n \"answer\": \"Her blind partiality.\"\n },\n {\n \"question_id\": \"29113\",\n \"answer\": \"Edward\"\n },\n {\n \"question_id\": \"29114\",\n \"answer\": \"Cordial.\"\n },\n {\n \"question_id\": \"29115\",\n \"answer\": \"She didn't know what to say.\"\n },\n {\n \"question_id\": \"29116\",\n \"answer\": \"Impossible.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVI. \n\nMARCH FROM FORT CUMBERLAND--THE GREAT SAVAGE MOUNTAIN--CAMP AT THE LITTLE MEADOWS--DIVISION OF THE FORCES--CAPTAIN JACK AND HIS BAND--SCAROOYADI IN DANGER--ILLNESS OF WASHINGTON--HIS HALT AT THE YOUGHIOGENY--MARCH OF BRADDOCK--THE GREAT MEADOWS--LURKING ENEMIES--THEIR TRACKS--PRECAUTIONS-- THICKETTY RUN--SCOUTS--INDIAN MURDERS--FUNERAL OF AN INDIAN WARRIOR--CAMP ON THE MONONGAHELA--WASHINGTON'S ARRIVAL THERE--MARCH FOR FORT DUQUESNE-- THE FORDING OF THE MONONGAHELA--THE BATTLE--THE RETREAT--DEATH OF BRADDOCK. \n\nOn the 10th of June, Braddock set off from Fort Cumberland with his aides-de-camp, and others of his staff, and his body guard of light horse. Sir Peter Halket, with his brigade, had marched three days previously; and a detachment of six hundred men, under the command of Colonel Chapman, and the supervision of Sir John St. Clair, had been employed upwards of ten days in cutting down trees, removing rocks, and opening a road. \n\nThe march over the mountains proved, as Washington had foretold, a \"tremendous undertaking.\" It was with difficulty the heavily laden waggons could be dragged up the steep and rugged roads, newly made, or imperfectly repaired. Often they extended for three or four miles in a straggling and broken line, with the soldiers so dispersed, in guarding them, that an attack on any side would have thrown the whole in confusion. It was the dreary region of the great Savage Mountain, and the \"Shades of Death\" that was again made to echo with the din of arms. \n\nWhat outraged Washington's notions of the abstemious frugality suitable to campaigning in the \"backwoods,\" was the great number of horses and waggons required by the officers for the transportation of their baggage, camp equipage, and a thousand articles of artificial necessity. Simple himself in his tastes and habits, and manfully indifferent to personal indulgences, he almost doubted whether such sybarites in the camp could be efficient in the field. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83439\": \"When did Braddock leave?\"\n },\n {\n \"83440\": \"From where?\"\n },\n {\n \"83441\": \"Who went before him?\"\n },\n {\n \"83442\": \"To do what?\"\n },\n {\n \"83443\": \"How long did it take?\"\n },\n {\n \"83444\": \"Who supervised it?\"\n },\n {\n \"83445\": \"And the commander was?\"\n },\n {\n \"83446\": \"How many men did he have?\"\n },\n {\n \"83447\": \"What mountain were they crossing?\"\n },\n {\n \"83448\": \"Did they have a nickname?\"\n },\n {\n \"83449\": \"How long was the line of soldiers?\"\n },\n {\n \"83450\": \"Why?\"\n },\n {\n \"83451\": \"Why?\"\n },\n {\n \"83452\": \"Was something wrong with the roads?\"\n },\n {\n \"83453\": \"What?\"\n },\n {\n \"83454\": \"What was Washington mad about?\"\n },\n {\n \"83455\": \"What were the horses and wagons for?\"\n },\n {\n \"83456\": \"Did Washington have a lot of baggage?\"\n },\n {\n \"83457\": \"What did he doubt?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"83439\",\n \"answer\": \"June 10\"\n },\n {\n \"question_id\": \"83440\",\n \"answer\": \"Fort Cumberland\"\n },\n {\n \"question_id\": \"83441\",\n \"answer\": \"Sir Peter Halket\"\n },\n {\n \"question_id\": \"83442\",\n \"answer\": \"cut down trees\"\n },\n {\n \"question_id\": \"83443\",\n \"answer\": \"upwards of ten days\"\n },\n {\n \"question_id\": \"83444\",\n \"answer\": \"Sir John St. Clair\"\n },\n {\n \"question_id\": \"83445\",\n \"answer\": \"Colonel Chapman\"\n },\n {\n \"question_id\": \"83446\",\n \"answer\": \"six hundred\"\n },\n {\n \"question_id\": \"83447\",\n \"answer\": \"Savage Mountain\"\n },\n {\n \"question_id\": \"83448\",\n \"answer\": \"\\\"Shades of Death\\\"\"\n },\n {\n \"question_id\": \"83449\",\n \"answer\": \"three or four miles\"\n },\n {\n \"question_id\": \"83450\",\n \"answer\": \"soldiers were dispersed\"\n },\n {\n \"question_id\": \"83451\",\n \"answer\": \"guarding them\"\n },\n {\n \"question_id\": \"83452\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"83453\",\n \"answer\": \"steep\"\n },\n {\n \"question_id\": \"83454\",\n \"answer\": \"the great number of horses and waggons\"\n },\n {\n \"question_id\": \"83455\",\n \"answer\": \"transportation of their baggage\"\n },\n {\n \"question_id\": \"83456\",\n \"answer\": \"Probably not\"\n },\n {\n \"question_id\": \"83457\",\n \"answer\": \"whether such sybarites in the camp could be efficient in the field.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 fish that lived in a bowl. The fish wanted to give a kid a party. But the fish was sad. The fish had no present to give to the kid. The fish would give the kid a spoon. But the fish had no spoon. The fish was a cutie. The fish had an idea. The fish had a stone in the bowl. The fish could give the kid the stone! The fish took the stone from the bowl. The fish put the stone in a bag. The fish gave the kid a party and gave the kid the stone as a gift. The kid told his granddaddy and his mommy that the fish was a cutie. The kid gave the fish a banana. The fish ate the banana and was very happy. The fish and the kid are friends and they love each other.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48626\": \"What was in the bowl?\"\n },\n {\n \"48627\": \"What did the fish want to do?\"\n },\n {\n \"48628\": \"Did this excite him?\"\n },\n {\n \"48629\": \"How did he feel?\"\n },\n {\n \"48630\": \"why was that?\"\n },\n {\n \"48631\": \"Did he come up with a plan?\"\n },\n {\n \"48632\": \"what was it?\"\n },\n {\n \"48633\": \"Did he have the party?\"\n },\n {\n \"48634\": \"Where did he get a banana?\"\n },\n {\n \"48635\": \"Did he keep it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"48626\",\n \"answer\": \"A fish and a stone.\"\n },\n {\n \"question_id\": \"48627\",\n \"answer\": \"He wanted to give a kid a party.\"\n },\n {\n \"question_id\": \"48628\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48629\",\n \"answer\": \"the fish was sad.\"\n },\n {\n \"question_id\": \"48630\",\n \"answer\": \"he had no present to give to the kid.\"\n },\n {\n \"question_id\": \"48631\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48632\",\n \"answer\": \"He could give the kid the stone!\"\n },\n {\n \"question_id\": \"48633\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48634\",\n \"answer\": \"The kid\"\n },\n {\n \"question_id\": \"48635\",\n \"answer\": \"He ate the banana\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- In Pennsylvania, Tyler Dix, a 16-year-old movie buff, is wide awake by 7 a.m. to cook breakfast for his younger siblings. \n\nMoranda Hern and Kaylei Deakin started Sisterhood of the Traveling BDUs, or battle dress uniforms. \n\nIn Georgia, Tucker Simmons, a 14-year old novice guitarist, prepares ice packs for his mother whenever her chronic lower back pain kicks in. \n\nIn California, Kaylei Deakin, an avid 17-year old rock climber, disciplines her little sisters when they act out. \n\nTyler, Tucker and Kaylei are three teenagers from across the country who have very different interests, but one experience that bonds them: They grew up fast -- sometimes too quickly -- to fill the shoes of mom or dad when their parent was shipped off to wars in Iraq and Afghanistan. \n\nAs the death toll from the two wars has risen over the last eight years, the fight has also affected a growing number of children left at home to cope without a parent. \n\nWhether it's raising their siblings or getting an after-school job, teens with parents in the military feel pressure to step up. \n\n\"These teens are expected to take on the responsibility the deployed parent used to take care of,\" said Mary Carolyn Voght, director of programs for Our Military Kids, a nonprofit organization that provides support to children with a deployed parent in the National Guard. \"There's usually the expectation that they will pitch in and help out more.\" \n\nMore than 30,000 teens between 12 and 18 have at least one parent in the National Guard deployed to Iraq or Afghanistan, according to the Department of Defense. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41759\": \"who is a movie buff?\"\n },\n {\n \"41760\": \"how did he grow up?\"\n },\n {\n \"41761\": \"what is his age?\"\n },\n {\n \"41762\": \"does he live in the US?\"\n },\n {\n \"41763\": \"where?\"\n },\n {\n \"41764\": \"what time does he wake up?\"\n },\n {\n \"41765\": \"does he do anything when he gets up?\"\n },\n {\n \"41766\": \"who feels pressure to step up?\"\n },\n {\n \"41767\": \"how do they step up?\"\n },\n {\n \"41768\": \"do any other teens help out?\"\n },\n {\n \"41769\": \"who?\"\n },\n {\n \"41770\": \"how does Tucker help?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"41759\",\n \"answer\": \"Tyler Dix\"\n },\n {\n \"question_id\": \"41760\",\n \"answer\": \"expected to take on the responsibility the deployed parent used to take care of\"\n },\n {\n \"question_id\": \"41761\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"41762\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41763\",\n \"answer\": \"Pennsylvania\"\n },\n {\n \"question_id\": \"41764\",\n \"answer\": \"7 a.m\"\n },\n {\n \"question_id\": \"41765\",\n \"answer\": \"cook breakfast for his younger siblings.\"\n },\n {\n \"question_id\": \"41766\",\n \"answer\": \"teens with parents in the military .\"\n },\n {\n \"question_id\": \"41767\",\n \"answer\": \"take on the responsibility\"\n },\n {\n \"question_id\": \"41768\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41769\",\n \"answer\": \"Tyler, Tucker and Kaylei\"\n },\n {\n \"question_id\": \"41770\",\n \"answer\": \"prepares ice packs for his mother whenever her chronic lower back pain kicks in\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Venus is the second planet from the Sun, orbiting it every 224.7 Earth days. It has the longest rotation period (243 days) of any planet in the Solar System and rotates in the opposite direction to most other planets. It has no natural satellites. It is named after the Roman goddess of love and beauty. It is the second-brightest natural object in the night sky after the Moon, reaching an apparent magnitude of −4.6 – bright enough to cast shadows at night and, rarely, visible to the naked eye in broad daylight. Orbiting within Earth's orbit, Venus is an inferior planet and never appears to venture far from the Sun; its maximum angular distance from the Sun (elongation) is 47.8°. \n\nVenus is a terrestrial planet and is sometimes called Earth's \"sister planet\" because of their similar size, mass, proximity to the Sun, and bulk composition. It is radically different from Earth in other respects. It has the densest atmosphere of the four terrestrial planets, consisting of more than 96% carbon dioxide. The atmospheric pressure at the planet's surface is 92 times that of Earth, or roughly the pressure found underwater on Earth. Venus is by far the hottest planet in the Solar System, with a mean surface temperature of , even though Mercury is closer to the Sun. Venus is shrouded by an opaque layer of highly reflective clouds of sulfuric acid, preventing its surface from being seen from space in visible light. It may have had water oceans in the past, but these would have vaporized as the temperature rose due to a runaway greenhouse effect. The water has probably photodissociated, and the free hydrogen has been swept into interplanetary space by the solar wind because of the lack of a planetary magnetic field. Venus's surface is a dry desertscape interspersed with slab-like rocks and is periodically resurfaced by volcanism.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43006\": \"What planet is this article talking about?\"\n },\n {\n \"43007\": \"Give me one unique feature of venus that makes it different from the other planets?\"\n },\n {\n \"43008\": \"What is it named after?\"\n },\n {\n \"43009\": \"What is its rotation period?\"\n },\n {\n \"43010\": \"Is it the second planet from the sun?\"\n },\n {\n \"43011\": \"Does it venture far from the sun?\"\n },\n {\n \"43012\": \"What is Venus sometimes referred to as?\"\n },\n {\n \"43013\": \"why so?\"\n },\n {\n \"43014\": \"What percentage of carbondioxide does it comprise of?\"\n },\n {\n \"43015\": \"What is its angular distance from the sun?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43006\",\n \"answer\": \"Venus\"\n },\n {\n \"question_id\": \"43007\",\n \"answer\": \"rotates in the opposite direction\"\n },\n {\n \"question_id\": \"43008\",\n \"answer\": \"Roman goddess of love and beauty\"\n },\n {\n \"question_id\": \"43009\",\n \"answer\": \"243 days\"\n },\n {\n \"question_id\": \"43010\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"43011\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43012\",\n \"answer\": \"Earth's \\\"sister planet\\\"\"\n },\n {\n \"question_id\": \"43013\",\n \"answer\": \"similar size, mass, proximity to the Sun, and bulk composition\"\n },\n {\n \"question_id\": \"43014\",\n \"answer\": \"96%\"\n },\n {\n \"question_id\": \"43015\",\n \"answer\": \"47.8\\u00b0\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Ron loved basketball. One afternoon on his way to a basketball game, he was walking and dreaming about playing college basketball the following year. As Ron was walking to the game, a car hit him so hard that he was thrown three feet into the air. Ron woke up in a hospital room. When he learned that both his legs were broken, he realized his college basketball dreams were over. Ron did what the doctors told him, but his progress was slow. When he left the hospital, Ron was sent to a health center for physical treatment. A week after he arrived there, he met Sunny. Sunny was a coach.His legs were hurt paralysed from a skiing accident. Even though he couldn't move his legs, Sunny coached of a basketball team called the Suns. Everybody on the team played from a wheelchair. Sunny invited Tony to join the game. Tony played badly, but for the first time since the accident, he stopped feeling sorry for himself. After becoming a part of the Suns, Ron improved quickly. Basketball was like medicine for him. And whenever Ron became depressed or angry, Sunny was there to encourage and help him. The day before Ron left the center, he had dinner with Sunny. He asked Sunny how he managed to be generous and cheerful, even with his paralysis. Sunny smiled and said, \"It's really quite easy. When you keep your face to the sun, the shadows fall behind.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31556\": \"who is the main character?\"\n },\n {\n \"31557\": \"what did he want to do next year?\"\n },\n {\n \"31558\": \"did he meet someone?\"\n },\n {\n \"31559\": \"who?\"\n },\n {\n \"31560\": \"where?\"\n },\n {\n \"31561\": \"what was his profession?\"\n },\n {\n \"31562\": \"was he ambulatory?\"\n },\n {\n \"31563\": \"that means can he walk, was he ambulatory?\"\n },\n {\n \"31564\": \"why not?\"\n },\n {\n \"31565\": \"how?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"31556\",\n \"answer\": \"Ron\"\n },\n {\n \"question_id\": \"31557\",\n \"answer\": \"playing college basketball\"\n },\n {\n \"question_id\": \"31558\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"31559\",\n \"answer\": \"unny\"\n },\n {\n \"question_id\": \"31560\",\n \"answer\": \"center for physical treatmen\"\n },\n {\n \"question_id\": \"31561\",\n \"answer\": \"coach\"\n },\n {\n \"question_id\": \"31562\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"31563\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"31564\",\n \"answer\": \"His legs were hurt paralysed\"\n },\n {\n \"question_id\": \"31565\",\n \"answer\": \"skiing accident\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XVII. THREE DAYS \n\nLincoln awaited Graham in an apartment beneath the flying stages. He seemed curious to learn all that had happened, pleased to hear of the extraordinary delight and interest which Graham took in flying Graham was in a mood of enthusiasm. \"I must learn to fly,\" he cried. \"I must master that. I pity all poor souls who have died without this opportunity. The sweet swift air! It is the most wonderful experience in the world.\" \n\n\"You will find our new times full of wonderful experiences,\" said Lincoln. \"I do not know what you will care to do now. We have music that may seem novel.\" \n\n\"For the present,\" said Graham, \"flying holds me. Let me learn more of that. Your aeronaut was saying there is some trades union objection to one's learning.\" \n\n\"There is, I believe,\" said Lincoln. \"But for you--! If you would' like to occupy yourself with that, we can make you a sworn aeronaut tomorrow.\" \n\nGraham expressed his wishes vividly and talked of his sensations for a while. \"And as for affairs,\" he asked abruptly. \"How are things going on?\" \n\nLincoln waved affairs aside. \"Ostrog will tell you that tomorrow,\" he said. \"Everything is settling down. The Revolution accomplishes itself all over the world. Friction is inevitable here and there, of course; but your rule is assured. You may rest secure with things in Ostrog's hands.\" \n\n\"Would it be possible for me to be made a sworn aeronaut, as you call it, forthwith--before I sleep?\" said Graham, pacing. \"Then I could be at it the very first thing tomorrow again. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70733\": \"Where was Lincoln?\"\n },\n {\n \"70734\": \"where?\"\n },\n {\n \"70735\": \"who was he waiting for?\"\n },\n {\n \"70736\": \"what mood was Grahm in?\"\n },\n {\n \"70737\": \"what did he want to do?\"\n },\n {\n \"70738\": \"Did he want to be an amatuer?\"\n },\n {\n \"70739\": \"what was novel?\"\n },\n {\n \"70740\": \"How did he feel about others that did not experience this?\"\n },\n {\n \"70741\": \"how did he feel about it?\"\n },\n {\n \"70742\": \"what held Grahm?\"\n },\n {\n \"70743\": \"What could happen tomorrow?\"\n },\n {\n \"70744\": \"who said that?\"\n },\n {\n \"70745\": \"How were affairs?\"\n },\n {\n \"70746\": \"will he learn about them?\"\n },\n {\n \"70747\": \"by who?\"\n },\n {\n \"70748\": \"what is inevitable?\"\n },\n {\n \"70749\": \"where?\"\n },\n {\n \"70750\": \"Can he be sound?\"\n },\n {\n \"70751\": \"how?\"\n },\n {\n \"70752\": \"What did Grahm want?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70733\",\n \"answer\": \"an apartment\"\n },\n {\n \"question_id\": \"70734\",\n \"answer\": \"beneath the flying stages\"\n },\n {\n \"question_id\": \"70735\",\n \"answer\": \"Graham\"\n },\n {\n \"question_id\": \"70736\",\n \"answer\": \"enthusiasm\"\n },\n {\n \"question_id\": \"70737\",\n \"answer\": \"to fly\"\n },\n {\n \"question_id\": \"70738\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70739\",\n \"answer\": \"music\"\n },\n {\n \"question_id\": \"70740\",\n \"answer\": \"pity\"\n },\n {\n \"question_id\": \"70741\",\n \"answer\": \"the most wonderful experience in the world.\\\"\"\n },\n {\n \"question_id\": \"70742\",\n \"answer\": \"flying\"\n },\n {\n \"question_id\": \"70743\",\n \"answer\": \"make him a sworn aeronaut\"\n },\n {\n \"question_id\": \"70744\",\n \"answer\": \"Lincoln\"\n },\n {\n \"question_id\": \"70745\",\n \"answer\": \"Lincoln waved affairs aside.\"\n },\n {\n \"question_id\": \"70746\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70747\",\n \"answer\": \"Ostrog\"\n },\n {\n \"question_id\": \"70748\",\n \"answer\": \"Friction\"\n },\n {\n \"question_id\": \"70749\",\n \"answer\": \"here and there\"\n },\n {\n \"question_id\": \"70750\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70751\",\n \"answer\": \"in Ostrog's hands.\\\"\"\n },\n {\n \"question_id\": \"70752\",\n \"answer\": \"to be an aeronaut\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XVII. \n\nAN ATTEMPT AT ASSASSINATION. \n\nWhen Wulf met the armourer next morning in the cathedral close he was accompanied by Beorn, who said, laughing, to the latter, \"You have beaten me fairly, friend Ulred, and it is well that I had no wager with you on the race. But it was not by much, for I rode in here as the bells were chiming eleven. I was glad to hear from Wulf when I roused him up that he had learnt all the news from you, for indeed I was sore weary, and was right pleased to wrap myself in my cloak and go straight to sleep instead of having to sit up for an hour expounding my story.\" \n\n\"We have resolved in the first place, Ulred, to say nought of this matter to the king,\" began Wulf. \"He will have enough to occupy all his thoughts in the affairs of the kingdom, and in the second place his nature is so open that he will refuse to believe in such villainy unless upon strong proof, and of actual proof we have none. Beorn's appearance here will excite no surprise. He will say that having nought in particular to occupy him he had ridden north to be at the wedding, and finding that he was too late, would at any rate ride back with the king. With him and me and Osgod ever on the watch, methinks there will be little fear of a surprise; and it is by surprise only that they can succeed, for Harold himself is a match for any four or five ordinary men if he has but time to draw his sword. I will, however, on some excuse have half a score of Harold's housecarls placed under my orders, and sleeping or waking the king shall never be a moment unguarded. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34106\": \"Was he accompanied?\"\n },\n {\n \"34107\": \"By who?\"\n },\n {\n \"34108\": \"Who was?\"\n },\n {\n \"34109\": \"Who did he meet?\"\n },\n {\n \"34110\": \"when?\"\n },\n {\n \"34111\": \"Where?\"\n },\n {\n \"34112\": \"Was Beorn laughing?\"\n },\n {\n \"34113\": \"Who beat him?\"\n },\n {\n \"34114\": \"Did he beat him fairly?\"\n },\n {\n \"34115\": \"Was the victory by a large margin\"\n },\n {\n \"34116\": \"What were the bells chiming?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34106\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34107\",\n \"answer\": \"Beorn\"\n },\n {\n \"question_id\": \"34108\",\n \"answer\": \"Wulf\"\n },\n {\n \"question_id\": \"34109\",\n \"answer\": \"the armourer\"\n },\n {\n \"question_id\": \"34110\",\n \"answer\": \"the next morning\"\n },\n {\n \"question_id\": \"34111\",\n \"answer\": \"in the cathedral\"\n },\n {\n \"question_id\": \"34112\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34113\",\n \"answer\": \"Ulred\"\n },\n {\n \"question_id\": \"34114\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34115\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34116\",\n \"answer\": \"eleven\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XVII. THE GHOSTS OF THE TEMPLARS \n\n\n\n'Tis said, as through the aisles they passed, They heard strange voices on the blast, And through the cloister galleries small, Which at mid-height thread the chancel wall, Loud sobs and laughter louder ran, And voices unlike the voice of man, As if the fiends kept holiday. Scott, LAY OF THE LAST MINSTREL \n\n'Ill news, Martin, I see by your look!' cried Eustacie, starting to her feet from the heap of straw on which she was sitting in his cowhouse, one early April day, about seven weeks since her evasion from the convent. \n\n'Not so, I hope, Madame, but I do not feel at ease. Monsieur has not sent for me, nor told me his plans for the morrow, and I much doubt me whether that bode not a search here. Now I see a plan, provided Madame would trust herself to a Huguenot.' \n\n'They would guard me for my husband's sake.' \n\n'And could Madame walk half a league, as far as the Grange du Temple? There live Matthieu Rotrou and his wife, who have, they say, baffled a hundred times the gendarmes who sought their ministers. No one ever found a pastor, they say, when Rotrou had been of the congregation; and if they can do so much for an old preacher with a long tongue, surely they can for a sweet young lady; and if they could shelter her just for tomorrow, till the suspicion is over, then would I come for Madame with my cart, and carry her into Chollet among the trusses of hay, as we had fixed.' \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13031\": \"What chapter is this?\"\n },\n {\n \"13032\": \"Are we promised ghosts?\"\n },\n {\n \"13033\": \"Of who?\"\n },\n {\n \"13034\": \"Where had Eustacie been sitting?\"\n },\n {\n \"13035\": \"On a day in which month?\"\n },\n {\n \"13036\": \"How long had it been since she evaded the convent?\"\n },\n {\n \"13037\": \"Who did she think was about to give her ill news?\"\n },\n {\n \"13038\": \"Does Martin feel at ease?\"\n },\n {\n \"13039\": \"Who hasn't sent for him?\"\n },\n {\n \"13040\": \"What about sharing the plans for the morrow?\"\n },\n {\n \"13041\": \"Who does Martin think Eustacie should trust herself to?\"\n },\n {\n \"13042\": \"Why does she think they would guard her?\"\n },\n {\n \"13043\": \"How far from them is the Grange du Temple?\"\n },\n {\n \"13044\": \"Who lives there?\"\n },\n {\n \"13045\": \"And?\"\n },\n {\n \"13046\": \"Have they ever confused the guards who sought ministers?\"\n },\n {\n \"13047\": \"Does Martin wonder if Eustacie could walk so far?\"\n },\n {\n \"13048\": \"What does martin offer to come for her with?\"\n },\n {\n \"13049\": \"But only after what is over?\"\n },\n {\n \"13050\": \"Where will he take her, hidden among the trusses of hay?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13031\",\n \"answer\": \"XVII\"\n },\n {\n \"question_id\": \"13032\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13033\",\n \"answer\": \"THE TEMPLARS\"\n },\n {\n \"question_id\": \"13034\",\n \"answer\": \"the heap of straw\"\n },\n {\n \"question_id\": \"13035\",\n \"answer\": \"April\"\n },\n {\n \"question_id\": \"13036\",\n \"answer\": \"seven weeks\"\n },\n {\n \"question_id\": \"13037\",\n \"answer\": \"Martin\"\n },\n {\n \"question_id\": \"13038\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13039\",\n \"answer\": \"Monsieur\"\n },\n {\n \"question_id\": \"13040\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13041\",\n \"answer\": \"a Huguenot\"\n },\n {\n \"question_id\": \"13042\",\n \"answer\": \"surely they can for a sweet young lady\"\n },\n {\n \"question_id\": \"13043\",\n \"answer\": \"half a league\"\n },\n {\n \"question_id\": \"13044\",\n \"answer\": \"Matthieu Rotrou\"\n },\n {\n \"question_id\": \"13045\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"13046\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13047\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13048\",\n \"answer\": \"with my cart\"\n },\n {\n \"question_id\": \"13049\",\n \"answer\": \"the suspicion\"\n },\n {\n \"question_id\": \"13050\",\n \"answer\": \"into Chollet\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- MS Dhoni continued his winning streak after guiding the Chennai Super Kings to a nail biting victory over Kolkata Knight Riders in the opening clash of the Indian Premier League. \n\nThe seven week 20-over tournament offers yet more action for the cricket-loving Indian public after Dhoni led them to a World Cup triumph on home soil less than a week ago. \n\nAnd he masterminded an opening win in Chennai as Kolkata failed to record the four runs they need off the final delivery of the match to lose by two runs. \n\nBatting first, Chennai made 153-4 off their 20 overs. Srikkanth Anirudha got them off to a fast start as he smashed 64 off just 55 deliveries. \n\nIndian pair Suresh Raini and Dhoni then added valuable runs at the end of the innings, finishing with 33 and 29 respectively, as the Super Kings posted a challenging total. \n\nAn opening stand of 64 between Manvinder Bisla and South African Jacques Kallis looked to have put Kolkata in the driving seat but when Kallis went for 54 their innings faltered. \n\nEnglish batsman Eoin Morgan was stumped for just six runs but Manoj Tiwary got Kolkata back on track with a quick fire 27 runs, including two sixes, before he was stumped by Dhoni off the bowling of Randiv. \n\nThe Knight Riders needed nine runs from the final over but lost Laxmi Shukla off the second ball. Rajat Bhatia was charged with hitting a boundary off the final ball to win but Kolkata could only manage a leg bye. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90830\": \"What is the name of the league?\"\n },\n {\n \"90831\": \"what sport is it?\"\n },\n {\n \"90832\": \"Who batted first?\"\n },\n {\n \"90833\": \"Who are the two Indians that made runs?\"\n },\n {\n \"90834\": \"Who is the English batsman?\"\n },\n {\n \"90835\": \"Who needed 9 more runs?\"\n },\n {\n \"90836\": \"Who hit a boundary?\"\n },\n {\n \"90837\": \"Who got a leg bye?\"\n },\n {\n \"90838\": \"What did Chennaiu make?\"\n },\n {\n \"90839\": \"How long is the tournament?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"90830\",\n \"answer\": \"Indian Premier League\"\n },\n {\n \"question_id\": \"90831\",\n \"answer\": \"cricket\"\n },\n {\n \"question_id\": \"90832\",\n \"answer\": \"Chennai\"\n },\n {\n \"question_id\": \"90833\",\n \"answer\": \"Raini and Dhoni\"\n },\n {\n \"question_id\": \"90834\",\n \"answer\": \"Eoin Morgan\"\n },\n {\n \"question_id\": \"90835\",\n \"answer\": \"The Knight Riders\"\n },\n {\n \"question_id\": \"90836\",\n \"answer\": \"Rajat Bhatia\"\n },\n {\n \"question_id\": \"90837\",\n \"answer\": \"Kolkata\"\n },\n {\n \"question_id\": \"90838\",\n \"answer\": \"153-4\"\n },\n {\n \"question_id\": \"90839\",\n \"answer\": \"Seven weeks\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n David is a twelve-year-old boy. He is tall and strong with short blond hair. He likes sports and reading. Every week David gets ten dollars from his parents. This money is his weekly pocket money. It's not a present. David must work for the family to get the money. On Monday, David must sweep the floor and walk the dog after he finishes his homework. On Tuesday, David must take out the rubbish bags in the morning and clean the garden after school. On Wednesday, he should wash the dishes and clean the kitchen after dinner. On Thursday, he helps his mother do some cooking. Sometimes he has to go to the supermarket to buy some food and drinks. On Friday, he should water (...... ) the flowers in the garden after school. On Saturday and Sunday, David doesn't need to do the housework, so he goes to the cinema with his classmates or does some shopping in the shopping mall. David wants to buy a new football, but he doesn't have enough money. He is looking forward to getting more pocket money.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79901\": \"How many days a week does he have to work?\"\n },\n {\n \"79902\": \"What is the main character's name?\"\n },\n {\n \"79903\": \"How much does he earn per week?\"\n },\n {\n \"79904\": \"Is it a gift?\"\n },\n {\n \"79905\": \"What does he have to do to earn it?\"\n },\n {\n \"79906\": \"What is he saving for?\"\n },\n {\n \"79907\": \"Is he excited to be able to buy that?\"\n },\n {\n \"79908\": \"How old is he?\"\n },\n {\n \"79909\": \"Does he have brown hair?\"\n },\n {\n \"79910\": \"What color is it?\"\n },\n {\n \"79911\": \"What does he enjoy doing?\"\n },\n {\n \"79912\": \"Who does he work for to earn his money?\"\n },\n {\n \"79913\": \"Does he do the same thing every day?\"\n },\n {\n \"79914\": \"When does he walk the dog?\"\n },\n {\n \"79915\": \"When doesn't he have to do work?\"\n },\n {\n \"79916\": \"What is something he does then?\"\n },\n {\n \"79917\": \"When does he take care of the garden?\"\n },\n {\n \"79918\": \"What other day does he do something different in the garden?\"\n },\n {\n \"79919\": \"Does he always go to the grocery store every week?\"\n },\n {\n \"79920\": \"Is he weak or strong?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79901\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"79902\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"79903\",\n \"answer\": \"ten dollars\"\n },\n {\n \"question_id\": \"79904\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79905\",\n \"answer\": \"work\"\n },\n {\n \"question_id\": \"79906\",\n \"answer\": \"a football\"\n },\n {\n \"question_id\": \"79907\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79908\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"79909\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79910\",\n \"answer\": \"blond\"\n },\n {\n \"question_id\": \"79911\",\n \"answer\": \"sports\"\n },\n {\n \"question_id\": \"79912\",\n \"answer\": \"his family\"\n },\n {\n \"question_id\": \"79913\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79914\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"79915\",\n \"answer\": \"Saturday and Sunday\"\n },\n {\n \"question_id\": \"79916\",\n \"answer\": \"goes to the cinema\"\n },\n {\n \"question_id\": \"79917\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"79918\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"79919\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79920\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
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