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 MEXICO CITY, Mexico (CNN) -- A former anti-drug czar in Mexico has been arrested on corruption charges in his home state of Chiapas, officials said. \n\nMariano Francisco Herran Salvatti, who also was the attorney general in Chiapas for more than six years, is charged with embezzlement, criminal association and other acts of corruption, Chiapas Attorney General Raciel Lopez Salazar said. \n\n\"In Chiapas, the validity of the law also means that the culture of privilege has passed and justice is applied equally to all,\" Lopez said on the Chiapas government Web page. \n\nHerran was arrested Saturday night in Tuxtla Gutierrez, Mexico, but Lopez did not announce the arrest until Sunday. \n\nThe attorney general contends Herran committed the crimes while he served as secretary of economic development in Chiapas, a post he held from November 2007 until June. \n\nOfficials are investigating irregularities involving 175 million pesos (about $12.5 million), Notimex said. \n\nHerran served as drug czar for President Ernesto Zedillo from 1997 to 2000. In that post, he was involved in the prosecution of more than 60 members of the Juarez drug cartel and the investigation that led to the 2001 arrest of former Quintana Roo Gov. Mario Villanueva Madrid for his connections to drug traffickers. \n\nHerran, a lawyer, served as attorney general in Chiapas from 2000 to 2006. He came under investigation in April on suspicion of violating the rights of 146 criminal suspects while he was attorney general and was fired as the economic development minister in June. \n\nHe still faces prosecution on those charges. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89554\": \"Who was arrested?\"\n },\n {\n \"89555\": \"named?\"\n },\n {\n \"89556\": \"What position did he have, when he committed the crimes?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89554\",\n \"answer\": \"Former anti-drug Czar.\"\n },\n {\n \"question_id\": \"89555\",\n \"answer\": \"Mariano Francisco Herran Salvatti\"\n },\n {\n \"question_id\": \"89556\",\n \"answer\": \"Attorney general.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXVII \n\nTHE END OF A BOYHOOD \n\nConvinced of his own worthlessness, Tommy was sufficiently humble now, but Aaron Latta, nevertheless, marched to the square on the following market day and came back with the boy's sentence, Elspeth being happily absent. \n\n\"I say nothing about the disgrace you have brought on this house,\" the warper began without emotion, \"for it has been a shamed house since afore you were born, and it's a small offence to skail on a clarty floor. But now I've done more for you than I promised Jean Myles to do, and you had your pick atween college and the herding, and the herding you've chosen twice. I call you no names, you ken best what you're fitted for, but I've seen the farmer of the Dubb of Prosen the day, and he was short-handed through the loss of Tod Lindertis, so you're fee'd to him. Dinna think you get Tod's place, it'll be years afore you rise to that, but it's right and proper that as he steps up, you should step down.\" \n\n\"The Dubb of Prosen!\" cried Tommy in dismay. \"It's fifteen miles frae here.\" \n\n\"It's a' that.\" \n\n\"But--but--but Elspeth and me never thought of my being so far away that she couldna see me. We thought of a farmer near Thrums.\" \n\n\"The farther you're frae her the better,\" said Aaron, uneasily, yet honestly believing what he said. \n\n\"It'll kill her,\" Tommy cried fiercely. With only his own suffering to consider he would probably have nursed it into a play through which he stalked as the noble child of misfortune, but in his anxiety for Elspeth he could still forget himself. \"Fine you ken she canna do without me,\" he screamed. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57040\": \"what did Tommy yell is dismay?\"\n },\n {\n \"57041\": \"did he think he was worthless?\"\n },\n {\n \"57042\": \"how far away was Prosen?\"\n },\n {\n \"57043\": \"was Elspeth present the following market day?\"\n },\n {\n \"57044\": \"is Elspeth male of female?\"\n },\n {\n \"57045\": \"did Aaron think that she should be close to Tommy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57040\",\n \"answer\": \"\\\"The Dubb of Prosen!\\\"\"\n },\n {\n \"question_id\": \"57041\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57042\",\n \"answer\": \"fifteen miles\"\n },\n {\n \"question_id\": \"57043\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57044\",\n \"answer\": \"female\"\n },\n {\n \"question_id\": \"57045\",\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 The United States Capitol, often called the Capitol Building, is the home of the United States Congress, and the seat of the legislative branch of the U.S. federal government. It sits atop Capitol Hill at the eastern end of the National Mall in Washington, D.C. Though not at the geographic center of the Federal District, the Capitol forms the origin point for the District's street-numbering system and the District's four quadrants. \n\nThe original building was completed in 1800 and was subsequently expanded, particularly with the addition of the massive dome, and expanded chambers for the bicameral legislature, the House of Representatives in the south wing and the Senate in the north wing. Like the principal buildings of the executive and judicial branches, the Capitol is built in a distinctive neoclassical style and has a white exterior. Both its east and west elevations are formally referred to as \"fronts\", though only the east front was intended for the reception of visitors and dignitaries. \n\nPrior to establishing the nation's capital in Washington, D.C., the United States Congress and its predecessors had met in Philadelphia (Independence Hall and Congress Hall), New York City (Federal Hall), and a number of other locations (York, Pennsylvania; Lancaster, Pennsylvania; Maryland State House in Annapolis, Maryland; and Nassau Hall in Princeton, New Jersey). In September 1774, the First Continental Congress brought together delegates from the colonies in Philadelphia, followed by the Second Continental Congress, which met from May 1775 to March 1781.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16287\": \"Where in the US in the Capitol Building?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"16287\",\n \"answer\": \"Washington, D.C.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 ORLEANS, Louisiana (CNN) -- The five remaining defendants in the racially charged \"Jena Six\" case will appear in court Friday and are expected to enter a plea, a spokesman for the district attorney's office said. \n\nProtesters converged on the small Louisiana town in September 2007 after the \"Jena 6\" were charged. \n\nBill Furlow, spokesman for LaSalle Parish District Attorney Reed Walters, declined to say whether the defendants will plead guilty. \n\n\"It's not a done deal until it's a done deal,\" he said. \n\nIn December 2006, six African-American teenagers were charged with second-degree attempted murder and conspiracy in the beating of a white classmate. \n\nThe incident followed months of racial tension in the community of about 3,000 people. \n\nJena, Louisiana, is about 140 miles southeast of Shreveport in the north-central part of the state. \n\nThe case drew national attention from civil rights groups, who argued that the charges were excessive. \n\nAn estimated 15,000-plus demonstrators turned out for a rally on behalf of the teens: Carwin Jones, Jesse Ray Beard, Robert Bailey Jr., Bryant Purvis, Theo Shaw and Mychal Bell. \n\nThe charges were eventually reduced. \n\nBell pleaded guilty to battery in a juvenile court and moved to Monroe, Louisiana. In January, Bell said he had attempted suicide the month before by shooting himself in the chest but was recovering. \n\nFriday's hearing is set for 1:30 p.m. \n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82448\": \"What is the name of the group?\"\n },\n {\n \"82449\": \"Who was in the group?\"\n },\n {\n \"82450\": \"What were their names?\"\n },\n {\n \"82451\": \"What were they being charged with?\"\n },\n {\n \"82452\": \"Were the charges reduced?\"\n },\n {\n \"82453\": \"When were they charged?\"\n },\n {\n \"82454\": \"Did they have supports who thought the charges were extreme?\"\n },\n {\n \"82455\": \"Who tried to kill himself?\"\n },\n {\n \"82456\": \"How did he attempt this?\"\n },\n {\n \"82457\": \"With what?\"\n },\n {\n \"82458\": \"Where did the attack take place?\"\n },\n {\n \"82459\": \"How many individuals live there?\"\n },\n {\n \"82460\": \"How many showed up to protest?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82448\",\n \"answer\": \"The \\\"Jena 6\\\"\"\n },\n {\n \"question_id\": \"82449\",\n \"answer\": \"Six African-American teenagers\"\n },\n {\n \"question_id\": \"82450\",\n \"answer\": \"Carwin Jones, Jesse Ray Beard, Robert Bailey Jr., Bryant Purvis, Theo Shaw and Mychal Bell.\"\n },\n {\n \"question_id\": \"82451\",\n \"answer\": \"Second-degree attempted murder and conspiracy\"\n },\n {\n \"question_id\": \"82452\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"82453\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"82454\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"82455\",\n \"answer\": \"Bell\"\n },\n {\n \"question_id\": \"82456\",\n \"answer\": \"By shooting himself in the chest\"\n },\n {\n \"question_id\": \"82457\",\n \"answer\": \"A gun.\"\n },\n {\n \"question_id\": \"82458\",\n \"answer\": \"Jena, Louisiana\"\n },\n {\n \"question_id\": \"82459\",\n \"answer\": \"About 3,000 people.\"\n },\n {\n \"question_id\": \"82460\",\n \"answer\": \"An estimated 15,000-plus\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Historically, the channel's programming consisted mainly of featured classic theatrically released feature films from the Turner Entertainment film library – which comprises films from Warner Bros. Pictures (covering films released before 1950) and Metro-Goldwyn-Mayer (covering films released before May 1986). However, TCM now has licensing deals with other Hollywood film studios as well as its Time Warner sister company, Warner Bros. (which now controls the Turner Entertainment library and its own later films), and occasionally shows more recent films. Turner Classic Movies is a dedicated film channel and is available in United States, United Kingdom, France (TCM Cinéma), Spain (TCM España), Nordic countries, Middle East and Africa. \n\nIn 1986, eight years before the launch of Turner Classic Movies, Ted Turner acquired the Metro-Goldwyn-Mayer film studio for $1.5 billion. Concerns over Turner Entertainment's corporate debt load resulted in Turner selling the studio that October back to Kirk Kerkorian, from whom Turner had purchased the studio less than a year before. As part of the deal, Turner Entertainment retained ownership of MGM's library of films released up to May 9, 1986. Turner Broadcasting System was split into two companies; Turner Broadcasting System and Metro-Goldwyn-Mayer and reincorporated as MGM/UA Communications Co.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89662\": \"What television channel is discussed?\"\n },\n {\n \"89663\": \"What does that stand for?\"\n },\n {\n \"89664\": \"How many regions is it available in?\"\n },\n {\n \"89665\": \"What's one of them?\"\n },\n {\n \"89666\": \"Is it called exactly the same thing in each region?\"\n },\n {\n \"89667\": \"Where is it named differently?\"\n },\n {\n \"89668\": \"What does it go by there?\"\n },\n {\n \"89669\": \"What happened in 1994?\"\n },\n {\n \"89670\": \"Who founded the station?\"\n },\n {\n \"89671\": \"Is the station named after him?\"\n },\n {\n \"89672\": \"What other movie outfit did he purchase?\"\n },\n {\n \"89673\": \"Did he buy it for 2 billion?\"\n },\n {\n \"89674\": \"How much did he buy it for?\"\n },\n {\n \"89675\": \"What caused another sale?\"\n },\n {\n \"89676\": \"Who was it sold back to?\"\n },\n {\n \"89677\": \"What was the historical lineup on the station?\"\n },\n {\n \"89678\": \"Are more recent videos ever shown?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89662\",\n \"answer\": \"TCM\"\n },\n {\n \"question_id\": \"89663\",\n \"answer\": \"Turner Classic Movies\"\n },\n {\n \"question_id\": \"89664\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"89665\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"89666\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89667\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"89668\",\n \"answer\": \"TCM Espa\\u00f1a\"\n },\n {\n \"question_id\": \"89669\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"89670\",\n \"answer\": \"Ted Turner\"\n },\n {\n \"question_id\": \"89671\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89672\",\n \"answer\": \"Metro-Goldwyn-Mayer film studio\"\n },\n {\n \"question_id\": \"89673\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"89674\",\n \"answer\": \"$1.5 billion\"\n },\n {\n \"question_id\": \"89675\",\n \"answer\": \"Concerns over Turner Entertainment's corporate debt load\"\n },\n {\n \"question_id\": \"89676\",\n \"answer\": \"Kirk Kerkorian,\"\n },\n {\n \"question_id\": \"89677\",\n \"answer\": \"featured classic theatrically released feature films from the Turner Entertainment film library\"\n },\n {\n \"question_id\": \"89678\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nA MIDNIGHT SCARE \n\nThe Rovers reached Cottonton without catching sight of Dan Baxter again, nor did they locate him while stopping at the town. \n\n\"He knows enough to keep out of our way,\" remarked Dick. \"Even now he may be watching every move we make.\" \n\nThey did not remain in Cottonton long, and that night found them once more on a trail leading to another patch of timber. All were in excellent spirits, and Hans enlivened the time by singing a song in his broken English in a manner which convulsed them all. \n\n\"Hans would make his fortune on the variety stage,\" remarked Fred. \"His manner is too funny for anything.\" \n\n\"Vot you said apout a stage?\" demanded the German youth. \"I ton't vos ride on no stage ven I got a goot horse alretty.\" \n\n\"Fred wants you to go on the stage,\" said Sam, \n\n\"He thinks you might play Shakespeare,\" said Tom. \n\n\"Vot kind of a play is dot Shakespeares?\" \n\n\"It's a farce in 'steen acts and twice as many scenes,\" said Dick. \"You might play the double-tongued mute.\" \n\n\"I like not such a blay. I like dot blay vere da vos all killed off kvick.\" \n\n\"Good gracious! Hans wants to go in for tragedy!\" ejaculated Tom. \"Who would think he was so bloodthirsty. If you keep on like that, Hansy, dear, I'll be afraid you'll murder us in our sleep.\" \n\n\"I like dem murders. Da vos alvays make dem goose skins mine back town.\" \n\nAt this there was a general roar. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70418\": \"What entertainment did Hans provide?\"\n },\n {\n \"70419\": \"What did they think he would be better at?\"\n },\n {\n \"70420\": \"How did he feel about that?\"\n },\n {\n \"70421\": \"What type of play would he be in?\"\n },\n {\n \"70422\": \"By whom?\"\n },\n {\n \"70423\": \"What would he play?\"\n },\n {\n \"70424\": \"Where did their group reach?\"\n },\n {\n \"70425\": \"In what location/village?\"\n },\n {\n \"70426\": \"Who didn't they run into?\"\n },\n {\n \"70427\": \"Who thought he might not be far away though?\"\n },\n {\n \"70428\": \"Who had an accent?\"\n },\n {\n \"70429\": \"What type was it?\"\n },\n {\n \"70430\": \"Who was surprised by the statement Hans made of killing?\"\n },\n {\n \"70431\": \"What did he fear?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70418\",\n \"answer\": \"he sang a song\"\n },\n {\n \"question_id\": \"70419\",\n \"answer\": \"the variety stage\"\n },\n {\n \"question_id\": \"70420\",\n \"answer\": \"he didn't like it\"\n },\n {\n \"question_id\": \"70421\",\n \"answer\": \"a trgedy\"\n },\n {\n \"question_id\": \"70422\",\n \"answer\": \"Shakespeare\"\n },\n {\n \"question_id\": \"70423\",\n \"answer\": \"a murderer\"\n },\n {\n \"question_id\": \"70424\",\n \"answer\": \"a trail\"\n },\n {\n \"question_id\": \"70425\",\n \"answer\": \"outside Cottonton\"\n },\n {\n \"question_id\": \"70426\",\n \"answer\": \"Dan Baxter\"\n },\n {\n \"question_id\": \"70427\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"70428\",\n \"answer\": \"Hans\"\n },\n {\n \"question_id\": \"70429\",\n \"answer\": \"German\"\n },\n {\n \"question_id\": \"70430\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"70431\",\n \"answer\": \"being murdered\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 loved walking through the woods with her dog, Max. Max and Mary would go on all sorts of adventures together. They really loved looking for blueberries together and then falling asleep next to each other in the tall grass. One day, as Mary was picking the blueberries, she turned around to find that Max was not there. She became worried and ran off to look for her dog. \n\nShe looked in all of their favorite spots...next to the stream, in their secret hiding place behind the raspberry bushes, and even inside the old cabin that sat in the woods. But poor Max was nowhere to be found. Nonetheless, Mary would not give up. She kept looking and she found him not very far away. He had seen a squirrel and run to chase it. When Mary called Max's name he left the squirrel and happily returned to Mary, wagging his tail as he went.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70298\": \"What did Mary love to do?\"\n },\n {\n \"70299\": \"What is the name of her dog?\"\n },\n {\n \"70300\": \"What worried her?\"\n },\n {\n \"70301\": \"Where did she look first?\"\n },\n {\n \"70302\": \"How many places did she search?\"\n },\n {\n \"70303\": \"Did she give up?\"\n },\n {\n \"70304\": \"Where did she find him?\"\n },\n {\n \"70305\": \"What had he seen?\"\n },\n {\n \"70306\": \"What happened because of what he saw?\"\n },\n {\n \"70307\": \"How did she get him to return?\"\n },\n {\n \"70308\": \"How did he feel?\"\n },\n {\n \"70309\": \"Why would you think that?\"\n },\n {\n \"70310\": \"What did they look for together?\"\n },\n {\n \"70311\": \"What did they do after that?\"\n },\n {\n \"70312\": \"Where did they sleep?\"\n },\n {\n \"70313\": \"Where did they like to hide?\"\n },\n {\n \"70314\": \"Did other people know of the spot?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70298\",\n \"answer\": \"Mary loved walking through the woods with her dog\"\n },\n {\n \"question_id\": \"70299\",\n \"answer\": \"Her dog is named Max.\"\n },\n {\n \"question_id\": \"70300\",\n \"answer\": \"She turned around to find that Max was not there.\"\n },\n {\n \"question_id\": \"70301\",\n \"answer\": \"Next to the stream.\"\n },\n {\n \"question_id\": \"70302\",\n \"answer\": \"Three and she kept looking.\"\n },\n {\n \"question_id\": \"70303\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70304\",\n \"answer\": \"She found him not very far away.\"\n },\n {\n \"question_id\": \"70305\",\n \"answer\": \"A squirrel.\"\n },\n {\n \"question_id\": \"70306\",\n \"answer\": \"He ran to chase it\"\n },\n {\n \"question_id\": \"70307\",\n \"answer\": \"She called his name.\"\n },\n {\n \"question_id\": \"70308\",\n \"answer\": \"He felt happy.\"\n },\n {\n \"question_id\": \"70309\",\n \"answer\": \"He was wagging his tail as he went\"\n },\n {\n \"question_id\": \"70310\",\n \"answer\": \"Blueberries\"\n },\n {\n \"question_id\": \"70311\",\n \"answer\": \"Falling asleep next to each other.\"\n },\n {\n \"question_id\": \"70312\",\n \"answer\": \"In the tall grass.\"\n },\n {\n \"question_id\": \"70313\",\n \"answer\": \"Behind the raspberry bushes.\"\n },\n {\n \"question_id\": \"70314\",\n \"answer\": \"No\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Rolling Stones are an English rock band formed in London in 1962. The first stable line-up consisted of Brian Jones (guitar, harmonica), Mick Jagger (lead vocals), Keith Richards (guitar, backing vocals), Bill Wyman (bass), Charlie Watts (drums), and Ian Stewart (piano). Stewart was removed from the official line-up in 1963 but continued as a touring member until his death in 1985. Jones left the band less than a month prior to his death in 1969, having already been replaced by Mick Taylor, who remained until 1974. After Taylor left the band, Ronnie Wood took his place in 1975 and has been on guitar in tandem with Richards ever since. Following Wyman's departure in 1993, Darryl Jones joined as their touring bassist. Touring keyboardists for the band have been Nicky Hopkins (1967–1982), Ian McLagan (1978–1981), Billy Preston (through the mid-1970s) and Chuck Leavell (1982–present). The band was first led by Jones, but after teaming as the band's songwriters, Jagger and Richards assumed leadership while Jones dealt with legal and personal troubles. \n\nThe Rolling Stones were at the forefront of the British Invasion of bands that became popular in the US in 1964, and identified with the youthful and rebellious counterculture of the 1960s. Rooted in blues and early rock and roll, the group began a short period of musical experimentation in the mid-1960s that peaked with the psychedelic album \"Their Satanic Majesties Request\" (1967). Subsequently, the group returned to its \"bluesy\" roots with \"Beggars Banquet\" (1968) which along with its follow-ups \"Let It Bleed\" (1969), \"Sticky Fingers\" (1971) and \"Exile on Main St.\" (1972) is generally considered to be the band's best work and is seen as their \"Golden Age\". During this period, they were first introduced on stage as \"The World's Greatest Rock and Roll Band\". Musicologist Robert Palmer attributed the \"remarkable endurance\" of the Rolling Stones to being \"rooted in traditional verities, in rhythm-and-blues and soul music\", while \"more ephemeral pop fashions have come and gone\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43750\": \"Where are the Rolling Stones from?\"\n },\n {\n \"43751\": \"When did they start?\"\n },\n {\n \"43752\": \"Who played piano?\"\n },\n {\n \"43753\": \"When did he leave the band?\"\n },\n {\n \"43754\": \"Did he continue to tour with them?\"\n },\n {\n \"43755\": \"When did he stop?\"\n },\n {\n \"43756\": \"Why?\"\n },\n {\n \"43757\": \"What was the role of Brian Jones?\"\n },\n {\n \"43758\": \"When did he quit?\"\n },\n {\n \"43759\": \"Is he still alive\"\n },\n {\n \"43760\": \"How long after he quit did he die?\"\n },\n {\n \"43761\": \"Who took his spot?\"\n },\n {\n \"43762\": \"When did he leave?\"\n },\n {\n \"43763\": \"Who took his spot?\"\n },\n {\n \"43764\": \"Who was lead singer?\"\n },\n {\n \"43765\": \"Who was the drummer?\"\n },\n {\n \"43766\": \"Were they part of the British Invasion?\"\n },\n {\n \"43767\": \"Where did they invade?\"\n },\n {\n \"43768\": \"Which culture liked them?\"\n },\n {\n \"43769\": \"What year did this happen?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43750\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"43751\",\n \"answer\": \"1962\"\n },\n {\n \"question_id\": \"43752\",\n \"answer\": \"Ian Stewart\"\n },\n {\n \"question_id\": \"43753\",\n \"answer\": \"1963\"\n },\n {\n \"question_id\": \"43754\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43755\",\n \"answer\": \"1985\"\n },\n {\n \"question_id\": \"43756\",\n \"answer\": \"He died.\"\n },\n {\n \"question_id\": \"43757\",\n \"answer\": \"guitar and harmonica\"\n },\n {\n \"question_id\": \"43758\",\n \"answer\": \"1969\"\n },\n {\n \"question_id\": \"43759\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43760\",\n \"answer\": \"less than a month\"\n },\n {\n \"question_id\": \"43761\",\n \"answer\": \"Mick Taylor\"\n },\n {\n \"question_id\": \"43762\",\n \"answer\": \"1974\"\n },\n {\n \"question_id\": \"43763\",\n \"answer\": \"Ronnie Wood\"\n },\n {\n \"question_id\": \"43764\",\n \"answer\": \"Mick Jagger\"\n },\n {\n \"question_id\": \"43765\",\n \"answer\": \"Charlie Watts\"\n },\n {\n \"question_id\": \"43766\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43767\",\n \"answer\": \"the US\"\n },\n {\n \"question_id\": \"43768\",\n \"answer\": \"youthful and rebellious counterculture\"\n },\n {\n \"question_id\": \"43769\",\n \"answer\": \"1964\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Antwerp is a Flemish city in Belgium, the capital of Antwerp province in the community of Flanders. With a population of 510,610, it is the most populous city proper in Belgium. Its metropolitan area houses around 1,200,000 people, which is second behind Brussels. \n\nAntwerp is on the River Scheldt, linked to the North Sea by the Westerschelde estuary. It is about north from Brussels, and about from the Dutch border. The Port of Antwerp is one of the biggest in the world, ranking second in Europe and within the top 20 globally. Antwerp was also the place of the world's oldest stock exchange building, originally built in 1531 and re-built in 1872, it has been derelict since 1997. \n\nAntwerp has long been an important city in the Low Countries, both economically and culturally, especially before the Spanish Fury (1576) in the Dutch Revolt. The inhabitants of Antwerp are nicknamed \"Sinjoren\", after the Spanish honorific \"señor\" or French \"seigneur\", \"lord\", referring to the Spanish noblemen who ruled the city in the 17th century. Today Antwerp is a major trade and cultural centre, and is the world's second most multi-cultural city (after Amsterdam) home to 170 nationalities. It is also known as the \"diamond capital\" of the world for its large diamond district. The city hosted the 1920 Summer Olympics.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9262\": \"Which city is this article talking about?\"\n },\n {\n \"9263\": \"What's its population?\"\n },\n {\n \"9264\": \"Where exactly is it located?\"\n },\n {\n \"9265\": \"North from where?\"\n },\n {\n \"9266\": \"At what number is it ranked globally?\"\n },\n {\n \"9267\": \"and in Europe?\"\n },\n {\n \"9268\": \"What are its inhabitants called?\"\n },\n {\n \"9269\": \"What did the city host?\"\n },\n {\n \"9270\": \"Which border is near it?\"\n },\n {\n \"9271\": \"Was it famous for having the oldest stock exchange building?\"\n },\n {\n \"9272\": \"originally constructed when?\"\n },\n {\n \"9273\": \"and rebuilt again in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9262\",\n \"answer\": \"Antwerp\"\n },\n {\n \"question_id\": \"9263\",\n \"answer\": \"510,610\"\n },\n {\n \"question_id\": \"9264\",\n \"answer\": \"on the River Scheldt\"\n },\n {\n \"question_id\": \"9265\",\n \"answer\": \"Brussels\"\n },\n {\n \"question_id\": \"9266\",\n \"answer\": \"within the top 20\"\n },\n {\n \"question_id\": \"9267\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"9268\",\n \"answer\": \"Sinjoren\"\n },\n {\n \"question_id\": \"9269\",\n \"answer\": \"the 1920 Summer Olympics\"\n },\n {\n \"question_id\": \"9270\",\n \"answer\": \"the Dutch border\"\n },\n {\n \"question_id\": \"9271\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9272\",\n \"answer\": \"1531\"\n },\n {\n \"question_id\": \"9273\",\n \"answer\": \"1872\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 defense and prosecution were hammering out a plea deal Tuesday in the court-martial of Brig. Gen. Jeffrey Sinclair, but no matter what the negotiations hold, the defense says three things are off the table. \n\nFirst, Sinclair won't plead guilty to sexual assault, said Josh Zeitz, a spokesman for the general's defense team. Nor will he plead guilty to any charge that will land him on a sex-offender registry. And lastly, Zeitz said, Sinclair will not plead guilty to threatening his accuser or her family. \n\nNo developments are expected Tuesday or Wednesday, and Zeitz said the negotiations could last for weeks. \n\nCol. James Pohl, the judge in the case, dismissed the jury \"for the time being\" Tuesday morning to return to their duty stations, a spokeswoman for Fort Bragg in North Carolina said. \n\nOn Monday, a day when Sinclair's accuser was slated to continue her testimony from Friday, Pohl dismissed the jury because of 22 pages of e-mails that emerged over the weekend. \n\nThe e-mails include a January communication in which a senior military lawyer wrote Fort Bragg's chief of military justice casting doubt on the credibility of Sinclair's accuser and a February correspondence in which a lieutenant colonel with the Judge Advocate General's Corps asked for a colonel's \"thoughts/opinion\" on Sinclair's offer to enter a plea. \n\nPohl indicated there may have been \"undue command influence\" by Pentagon officials. While Pohl would not grant the defense's request to drop charges against Sinclair, he ordered that the general be provided a possible plea deal, in addition to several other options. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30148\": \"Was jurors dismissed?\"\n },\n {\n \"30149\": \"By who?\"\n },\n {\n \"30150\": \"Why?\"\n },\n {\n \"30151\": \"What is off the table?\"\n },\n {\n \"30152\": \"Will he say he's guilty?\"\n },\n {\n \"30153\": \"Who is accused?\"\n },\n {\n \"30154\": \"How long could talks last?\"\n },\n {\n \"30155\": \"What did the col. order?\"\n },\n {\n \"30156\": \"What wouldn't he let happen?\"\n },\n {\n \"30157\": \"What did he indicate?\"\n },\n {\n \"30158\": \"Anything for Tuesday?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"30148\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"30149\",\n \"answer\": \"Col. James Pohl\"\n },\n {\n \"question_id\": \"30150\",\n \"answer\": \"to return to their duty stations\"\n },\n {\n \"question_id\": \"30151\",\n \"answer\": \"three things\"\n },\n {\n \"question_id\": \"30152\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"30153\",\n \"answer\": \"Brig. Gen. Jeffrey Sinclair\"\n },\n {\n \"question_id\": \"30154\",\n \"answer\": \"weeks\"\n },\n {\n \"question_id\": \"30155\",\n \"answer\": \"that the general be provided a possible plea deal\"\n },\n {\n \"question_id\": \"30156\",\n \"answer\": \"the defense's request to drop charges\"\n },\n {\n \"question_id\": \"30157\",\n \"answer\": \"there may have been \\\"undue command influence\\\" by Pentagon officials\"\n },\n {\n \"question_id\": \"30158\",\n \"answer\": \"The defense and prosecution were hammering out a plea deal\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- While several high-profile actors and directors have rallied around Roman Polanski, not everyone in Hollywood believes he should be freed and forgiven. \n\nThe case surrounding the arrest of director Roman Polanski has both supporters and critics. \n\nIn the face of a petition signed by notables such as Woody Allen, Martin Scorsese and John Landis calling for the immediate release of Polanski following his detainment in Switzerland, a backlash is building against such support. \n\n\"I can't believe that Hollywood has separated itself so completely from American morality,\" said Paul Petersen, a former child actor and president of A Minor Consideration, which advocates on behalf of young performers. \"It is yet another case of Hollywood being out of sync with most of America.\" \n\nPolanski pleaded guilty in 1977 to having unlawful sexual intercourse with a minor, but fled the United States before he could be sentenced. \n\nIn the years since, the director known for \"Chinatown\" and \"Rosemary's Baby\" settled in France and avoided authorities until he was arrested Saturday while on his way to the Zurich Film Festival. \n\nIn the aftermath of Polanski's arrest last weekend, a number of performers -- including Penelope Cruz, Tilda Swinton and Monica Bellucci -- appear as supporters on a petition which states, \"Roman Polanski is a French citizen, a renown and international artist now facing extradition. This extradition, if it takes place, will be heavy in consequences and will take away his freedom.\" \n\nPolanski's detention has stirred debate over whether he should be returned to the United States to face possible imprisonment. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71112\": \"Did Polanski stick around to be sentenced?\"\n },\n {\n \"71113\": \"What did he do instead?\"\n },\n {\n \"71114\": \"What had he pleaded?\"\n },\n {\n \"71115\": \"When?\"\n },\n {\n \"71116\": \"Did he do something naughty with an animal?\"\n },\n {\n \"71117\": \"Who, then?\"\n },\n {\n \"71118\": \"Does the report mention their age?\"\n },\n {\n \"71119\": \"Where did he Polanski flee to?\"\n },\n {\n \"71120\": \"What day was he apprehended?\"\n },\n {\n \"71121\": \"Where was he heading?\"\n },\n {\n \"71122\": \"What's one of the movies he was known for directing?\"\n },\n {\n \"71123\": \"And another?\"\n },\n {\n \"71124\": \"Did he molest a boy or a girl?\"\n },\n {\n \"71125\": \"Does everyone in Hollywood believe he should be free?\"\n },\n {\n \"71126\": \"What about forgiven?\"\n },\n {\n \"71127\": \"Where is he being detained?\"\n },\n {\n \"71128\": \"What do some people want him returned to the United States to face?\"\n },\n {\n \"71129\": \"What did Woody Allen sign?\"\n },\n {\n \"71130\": \"Who does Paul Petersen advocate on behalf of?\"\n },\n {\n \"71131\": \"Does he think Hollywood's values are in sync with those of most of America's?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"71112\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71113\",\n \"answer\": \"fled the United States\"\n },\n {\n \"question_id\": \"71114\",\n \"answer\": \"guilty\"\n },\n {\n \"question_id\": \"71115\",\n \"answer\": \"1977\"\n },\n {\n \"question_id\": \"71116\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71117\",\n \"answer\": \"a minor\"\n },\n {\n \"question_id\": \"71118\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71119\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"71120\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"71121\",\n \"answer\": \"the Zurich Film Festival.\"\n },\n {\n \"question_id\": \"71122\",\n \"answer\": \"Chinatown\"\n },\n {\n \"question_id\": \"71123\",\n \"answer\": \"\\\"Rosemary's Baby\\\"\"\n },\n {\n \"question_id\": \"71124\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"71125\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71126\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71127\",\n \"answer\": \"in France\"\n },\n {\n \"question_id\": \"71128\",\n \"answer\": \"imprisonment.\"\n },\n {\n \"question_id\": \"71129\",\n \"answer\": \"a petition\"\n },\n {\n \"question_id\": \"71130\",\n \"answer\": \"young performers\"\n },\n {\n \"question_id\": \"71131\",\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 Joe was moving to a different state. He wanted to make the move without spending much money. He thought about driving in his own vehicle, but didn't do that. So Joe found a shipping company that shipped boxes on trailer trucks. First, Joe packed all his stuff in boxes. Then, he borrowed a small truck from a friend. He brought his belongings to the company's location with the small truck. At the company's building, he packed his stuff into a trailer. After all his belongings were in the trailer, he sealed off the trailer with a wooden wall. \n\nThe company filled the rest of the trailer with their own stuff. Then they drove it to the same town where Joe was moving. After Joe flew to his new town, he borrowed another small truck. He drove to the company's location in his new town. There he took his stuff out of the trailer. He carried it to his new house in the small truck. It was more work than using a normal moving company, but Joe saved a lot of money.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74030\": \"Where was Joe moving?\"\n },\n {\n \"74031\": \"Did he want to move without spending much money?\"\n },\n {\n \"74032\": \"Did he use his car to move?\"\n },\n {\n \"74033\": \"How did he decide to move?\"\n },\n {\n \"74034\": \"What did he pack his stuff in?\"\n },\n {\n \"74035\": \"What did he borrow?\"\n },\n {\n \"74036\": \"Who from?\"\n },\n {\n \"74037\": \"Where did he pack his stuff at the company's building?\"\n },\n {\n \"74038\": \"Then what did he do?\"\n },\n {\n \"74039\": \"What did the company do first?\"\n },\n {\n \"74040\": \"What did they do next?\"\n },\n {\n \"74041\": \"How did he get to his new town?\"\n },\n {\n \"74042\": \"Did he borrow another small truck?\"\n },\n {\n \"74043\": \"Where did he drive in the new town?\"\n },\n {\n \"74044\": \"What did he do there?\"\n },\n {\n \"74045\": \"What did he do next?\"\n },\n {\n \"74046\": \"How?\"\n },\n {\n \"74047\": \"Was it more work?\"\n },\n {\n \"74048\": \"Was it a normal moving company?\"\n },\n {\n \"74049\": \"Did he save money?\"\n },\n {\n \"74050\": \"How much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74030\",\n \"answer\": \"to a different state\"\n },\n {\n \"question_id\": \"74031\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"74032\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"74033\",\n \"answer\": \"By using a shipping company.\"\n },\n {\n \"question_id\": \"74034\",\n \"answer\": \"Boxes.\"\n },\n {\n \"question_id\": \"74035\",\n \"answer\": \"A small truck.\"\n },\n {\n \"question_id\": \"74036\",\n \"answer\": \"A friend.\"\n },\n {\n \"question_id\": \"74037\",\n \"answer\": \"A trailer.\"\n },\n {\n \"question_id\": \"74038\",\n \"answer\": \"Sealed off the trailer with a wooden wall.\"\n },\n {\n \"question_id\": \"74039\",\n \"answer\": \"Filled the rest of the trailer with their own stuff\"\n },\n {\n \"question_id\": \"74040\",\n \"answer\": \"Drove it to the same town where Joe was moving\"\n },\n {\n \"question_id\": \"74041\",\n \"answer\": \"He flew.\"\n },\n {\n \"question_id\": \"74042\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"74043\",\n \"answer\": \"To the company's location.\"\n },\n {\n \"question_id\": \"74044\",\n \"answer\": \"Took his stuff out of the trailer.\"\n },\n {\n \"question_id\": \"74045\",\n \"answer\": \"Carried it to his new house.\"\n },\n {\n \"question_id\": \"74046\",\n \"answer\": \"In the small truck.\"\n },\n {\n \"question_id\": \"74047\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"74048\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"74049\",\n \"answer\": \"but Joe saved a lot of money.\"\n },\n {\n \"question_id\": \"74050\",\n \"answer\": \"A lot.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 New Yorker is an American magazine of reportage, commentary, criticism, essays, fiction, satire, cartoons, and poetry. It is published by Condé Nast. Started as a weekly in 1925, the magazine is now published 47 times annually, with five of these issues covering two-week spans. \n\nAlthough its reviews and events listings often focus on the cultural life of New York City, \"The New Yorker\" has a wide audience outside of New York and is read internationally. It is well known for its illustrated and often topical covers, its commentaries on popular culture and eccentric Americana, its attention to modern fiction by the inclusion of short stories and literary reviews, its rigorous fact checking and copyediting, its journalism on politics and social issues, and its single-panel cartoons sprinkled throughout each issue. \n\n\"The New Yorker\" debuted on February 21, 1925. It was founded by Harold Ross and his wife, Jane Grant, a \"New York Times\" reporter. Ross wanted to create a sophisticated humor magazine that would be different from perceivably \"corny\" humor publications such as \"Judge\", where he had worked, or \"Life\". Ross partnered with entrepreneur Raoul H. Fleischmann (who founded the General Baking Company) to establish the F-R Publishing Company. The magazine's first offices were at 25 West 45th Street in Manhattan. Ross edited the magazine until his death in 1951. During the early, occasionally precarious years of its existence, the magazine prided itself on its cosmopolitan sophistication. Ross famously declared in a 1925 prospectus for the magazine: \"It has announced that it is not edited for the old lady in Dubuque.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4898\": \"What magazine came about in February of 1925?\"\n },\n {\n \"4899\": \"What's the name of the man that helped create it?\"\n },\n {\n \"4900\": \"And who was the woman?\"\n },\n {\n \"4901\": \"What was her name?\"\n },\n {\n \"4902\": \"Where was Ross employed before the magazine?\"\n },\n {\n \"4903\": \"Was he a reporter or an editor?\"\n },\n {\n \"4904\": \"How many issues come out a year, now?\"\n },\n {\n \"4905\": \"What's different about five of them?\"\n },\n {\n \"4906\": \"Does this magazine's readers all live in New York?\"\n },\n {\n \"4907\": \"Does the magazine have short stories in it?\"\n },\n {\n \"4908\": \"What kind?\"\n },\n {\n \"4909\": \"Do they publish reviews of other works?\"\n },\n {\n \"4910\": \"What kind of Americana do they feature in commentaries?\"\n },\n {\n \"4911\": \"How is their fact checking described?\"\n },\n {\n \"4912\": \"What's a magazine Ross didn't want to resemble?\"\n },\n {\n \"4913\": \"Who created the General Baking Company?\"\n },\n {\n \"4914\": \"What did he and Ross join to create?\"\n },\n {\n \"4915\": \"What did Ross say about the old lady in Dubuque?\"\n },\n {\n \"4916\": \"When did he say that?\"\n },\n {\n \"4917\": \"When did he die?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4898\",\n \"answer\": \"The New Yorker\"\n },\n {\n \"question_id\": \"4899\",\n \"answer\": \"Harold Ross\"\n },\n {\n \"question_id\": \"4900\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"4901\",\n \"answer\": \"Jane Grant,\"\n },\n {\n \"question_id\": \"4902\",\n \"answer\": \"New York Times\"\n },\n {\n \"question_id\": \"4903\",\n \"answer\": \"\\\" reporter.\"\n },\n {\n \"question_id\": \"4904\",\n \"answer\": \"47 times\"\n },\n {\n \"question_id\": \"4905\",\n \"answer\": \"they are two-week spans.\"\n },\n {\n \"question_id\": \"4906\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4907\",\n \"answer\": \"iyes\"\n },\n {\n \"question_id\": \"4908\",\n \"answer\": \"modern fiction\"\n },\n {\n \"question_id\": \"4909\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4910\",\n \"answer\": \"eccentric\"\n },\n {\n \"question_id\": \"4911\",\n \"answer\": \"rigorous\"\n },\n {\n \"question_id\": \"4912\",\n \"answer\": \"Judge\"\n },\n {\n \"question_id\": \"4913\",\n \"answer\": \"entrepreneur Raoul H. Fleischmann\"\n },\n {\n \"question_id\": \"4914\",\n \"answer\": \"F-R Publishing Company.\"\n },\n {\n \"question_id\": \"4915\",\n \"answer\": \"the magazine wasn't editer for her\"\n },\n {\n \"question_id\": \"4916\",\n \"answer\": \"1925\"\n },\n {\n \"question_id\": \"4917\",\n \"answer\": \"1951.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Gambia (), officially the Republic of The Gambia, is a country in West Africa that is entirely surrounded by Senegal except for its coastline on the Atlantic Ocean at its western end. It is the smallest country in mainland Africa. \n\nThe Gambia is situated on either side of the Gambia River, the nation's namesake, which flows through the centre of The Gambia and empties into the Atlantic Ocean. Its area is with a population of 1,882,450 at the April 2013 census (provisional). Banjul is the Gambian capital, and the largest cities are Serekunda and Brikama. \n\nThe Gambia shares historical roots with many other West African nations in the slave trade, which was the key factor in the placing and keeping of a colony on the Gambia River, first by the Portuguese, during which era it was known as \"A Gâmbia\". Later, on 25 May 1765, The Gambia was made a part of the British Empire when the government formally assumed control, establishing the Province of Senegambia. In 1965, The Gambia gained independence under the leadership of Dawda Jawara, who ruled until Yahya Jammeh seized power in a bloodless 1994 coup. \n\nAdama Barrow became The Gambia's third president in January 2017, after defeating Jammeh in December 2016 elections. Jammeh initially refused to accept the results, which triggered a constitutional crisis and military intervention by the Economic Community of West African States, resulting in his exile.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75742\": \"Who was exiled?\"\n },\n {\n \"75743\": \"What is the river called?\"\n },\n {\n \"75744\": \"Is it landlocked?\"\n },\n {\n \"75745\": \"what ocean is it at?\"\n },\n {\n \"75746\": \"When did it gain independence?\"\n },\n {\n \"75747\": \"Who was the leader then?\"\n },\n {\n \"75748\": \"what happened in 1965?\"\n },\n {\n \"75749\": \"what is it's official name?\"\n },\n {\n \"75750\": \"who was behind the coup?\"\n },\n {\n \"75751\": \"when did it happen?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75742\",\n \"answer\": \"Jammeh\"\n },\n {\n \"question_id\": \"75743\",\n \"answer\": \"Gambia River,\"\n },\n {\n \"question_id\": \"75744\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"75745\",\n \"answer\": \"Atlantic Ocean\"\n },\n {\n \"question_id\": \"75746\",\n \"answer\": \"1994\"\n },\n {\n \"question_id\": \"75747\",\n \"answer\": \"Dawda Jawara,\"\n },\n {\n \"question_id\": \"75748\",\n \"answer\": \"The Gambia was made a part of the British Empire\"\n },\n {\n \"question_id\": \"75749\",\n \"answer\": \"A G\\u00e2mbia\\\"\"\n },\n {\n \"question_id\": \"75750\",\n \"answer\": \"Yahya Jammeh\"\n },\n {\n \"question_id\": \"75751\",\n \"answer\": \"1994\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Felipe Massa has been forced to backtrack on comments he made claiming that new Ferrari teammate Fernando Alonso was aware of Renault's plans to deliberately crash at the 2008 Singapore Grand Prix. \n\nFelipe Massa is still showing the scars of his horror crash at the Hungarian GP in July. \n\nAlonso won that race after the safety car was brought out when Renault's No. 2 driver Nelson Piquet Jr spun out on lap 14, and Massa subsequently claimed it cost him that year's world title as he finished one point behind champion Lewis Hamilton. \n\nMotorsport's ruling body the FIA cleared Alonso of any wrongdoing as it banned Renault boss Flavio Briatore, who quit his role before the ruling, while Piquet was immune from prosecution in return for giving evidence. \n\nMassa told reporters in his native Brazil on Wednesday that he believed two-time world champion Alonso -- who is replacing Kimi Raikkonen at Ferrari next year -- must have known about Renault's race plan. \n\n\"It was the team and Nelson -- but Alonso was part of the problem. He knew. We cannot know it, but of course he knew. It's an absolute certainty,\" he said ahead of this weekend's Brazilian Grand Prix. \n\nHowever, the 28-year-old later released a statement on the official Ferrari Web site in a bid to avoid conflict with his future teammate. \n\n\"What I've said is the outcome of a hunch I've had and is not based on any concrete evidence,\" Felipe said. \n\n\"The FIA World Council announced that there was no indication that Fernando may have been informed of what had happened and I respect this outcome. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14766\": \"What sport is Felipe Massa involved in?\"\n },\n {\n \"14767\": \"Who was his teammate?\"\n },\n {\n \"14768\": \"What driver got in a wreck?\"\n },\n {\n \"14769\": \"Who did he race for?\"\n },\n {\n \"14770\": \"When did that happen?\"\n },\n {\n \"14771\": \"What year was it?\"\n },\n {\n \"14772\": \"What race was it?\"\n },\n {\n \"14773\": \"Did he wreck on purpose?\"\n },\n {\n \"14774\": \"Was anyone banned?\"\n },\n {\n \"14775\": \"Who?\"\n },\n {\n \"14776\": \"What was his position?\"\n },\n {\n \"14777\": \"Was Piquet banned?\"\n },\n {\n \"14778\": \"Why not?\"\n },\n {\n \"14779\": \"Who did Massa give the interview to?\"\n },\n {\n \"14780\": \"Where?\"\n },\n {\n \"14781\": \"When?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14766\",\n \"answer\": \"Grand Prix.\"\n },\n {\n \"question_id\": \"14767\",\n \"answer\": \"Fernando Alonso\"\n },\n {\n \"question_id\": \"14768\",\n \"answer\": \"Nelson Piquet Jr\"\n },\n {\n \"question_id\": \"14769\",\n \"answer\": \"Renault\"\n },\n {\n \"question_id\": \"14770\",\n \"answer\": \"lap 14\"\n },\n {\n \"question_id\": \"14771\",\n \"answer\": \"2008\"\n },\n {\n \"question_id\": \"14772\",\n \"answer\": \"Singapore Grand Prix\"\n },\n {\n \"question_id\": \"14773\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14774\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14775\",\n \"answer\": \"Flavio Briatore,\"\n },\n {\n \"question_id\": \"14776\",\n \"answer\": \"Renault boss\"\n },\n {\n \"question_id\": \"14777\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"14778\",\n \"answer\": \"He was immune for giving evidence.\"\n },\n {\n \"question_id\": \"14779\",\n \"answer\": \"reporters\"\n },\n {\n \"question_id\": \"14780\",\n \"answer\": \"Brazil\"\n },\n {\n \"question_id\": \"14781\",\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 CHAPTER XXVII. \n\nTHE TRIAL. \n\nEdith Hudson spent a restless night, and early in the morning, as early as she thought she could reach him, she called the office of Jimmy's attorney. She told the lawyer that some new evidence was to have been brought in to him and asked if he had received it. Receiving a negative reply she asked that she be called the moment it was brought in. \n\nAll that day and the next she waited, scarcely leaving her room for fear that the call might come while she was away. The days ran into weeks and still there was no word from the Lizard. \n\nJimmy was brought to trial, and she saw him daily in the courtroom and as often as they would let her she would visit him in jail. On several occasions she met Harriet Holden, also visiting him, and she saw that the other young woman was as constant an attendant at court as she. \n\nThe State had established as unassailable a case as might be built on circumstantial evidence. Krovac had testified that Torrance had made threats against Compton in his presence, and there was no way in which Jimmy's attorneys could refute the perjured statement. Jimmy himself had come to realize that his attorney was fighting now for his life, that the verdict of the jury was already a foregone conclusion and that the only thing left to fight for now was the question of the penalty. \n\nDaily he saw in the court-room the faces of the three girls who had entered so strangely into his life. He noticed, with not a little sorrow and regret, that Elizabeth Compton and Harriet Holden always sat apart and that they no longer spoke. He saw the effect of the strain of the long trial on Edith Hudson. She looked wan and worried, and then finally she was not in court one day, and later, through Harriet Holden, he learned that she was confined to her room with a bad cold. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91815\": \"What was Edith thinking of?\"\n },\n {\n \"91816\": \"who?\"\n },\n {\n \"91817\": \"Did she speak with him?\"\n },\n {\n \"91818\": \"how?\"\n },\n {\n \"91819\": \"What is she asking about?\"\n },\n {\n \"91820\": \"received what?\"\n },\n {\n \"91821\": \"did he?\"\n },\n {\n \"91822\": \"What did she ask of him?\"\n },\n {\n \"91823\": \"when?\"\n },\n {\n \"91824\": \"did it come that day?\"\n },\n {\n \"91825\": \"Who was brought to the courtroom?\"\n },\n {\n \"91826\": \"Was she able to see him?\"\n },\n {\n \"91827\": \"how often?\"\n },\n {\n \"91828\": \"how about in jail?\"\n },\n {\n \"91829\": \"who eklse visited?\"\n },\n {\n \"91830\": \"was she at court also?\"\n },\n {\n \"91831\": \"Was this a short trial?\"\n },\n {\n \"91832\": \"What happened to Edith at the end?\"\n },\n {\n \"91833\": \"did she still go to court?\"\n },\n {\n \"91834\": \"who told him about the cold?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91815\",\n \"answer\": \"When she could reach him.\"\n },\n {\n \"question_id\": \"91816\",\n \"answer\": \"Jimmy's attorney.\"\n },\n {\n \"question_id\": \"91817\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"91818\",\n \"answer\": \"She told the lawyer that some new evidence was to have been brought in.\"\n },\n {\n \"question_id\": \"91819\",\n \"answer\": \"If he had received it.\"\n },\n {\n \"question_id\": \"91820\",\n \"answer\": \"The new evidence.\"\n },\n {\n \"question_id\": \"91821\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91822\",\n \"answer\": \"To be called.\"\n },\n {\n \"question_id\": \"91823\",\n \"answer\": \"The moment it was brought in.\"\n },\n {\n \"question_id\": \"91824\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91825\",\n \"answer\": \"Jimmy.\"\n },\n {\n \"question_id\": \"91826\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"91827\",\n \"answer\": \"Daily.\"\n },\n {\n \"question_id\": \"91828\",\n \"answer\": \"As often as they would let her.\"\n },\n {\n \"question_id\": \"91829\",\n \"answer\": \"Harriet Holden.\"\n },\n {\n \"question_id\": \"91830\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"91831\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91832\",\n \"answer\": \"She got a bad cold.\"\n },\n {\n \"question_id\": \"91833\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91834\",\n \"answer\": \"Harriet Holden.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n LONDON, England (CNN) -- The new Italian Serie A season kicks off with the first round of fixtures this weekend -- Fanzone details what to expect from the forthcoming campaign: \n\nSo what's new? The Serie A managerial merry-go-round produced its usual raft of changes with over a third of clubs set to begin the season with a different coach from the previous campaign. \n\nCarlo Ancelotti's departure to Chelsea from AC Milan is the most high-profile change, with former Rossoneri hero Leonardo moving from his role as technical director at the club to take over as head coach. \n\nWalter Zenga's success in guiding unfancied Catania to a mid-table finish last season saw him make a controversial switch to bitter Sicilian rivals Palermo, with Gianluca Atzori replacing him at the Stadio Angelo Massimino. \n\nWho do you think will win the Italian Serie A title? Sound Off below. \n\nDelio Rossi parted company with Lazio, who appointed Davide Ballardini, while Luigi Del Neri left Atalanta to take over at Sampdoria with Angelo Gregucci taking the reins at the Bergamo club. \n\nElsewhere, promoted Bari dispensed with the services of Antonio Conte and handed the job to much-traveled Giampiero Ventura, while Livorno have brought in veteran Vittorio Russo to work alongside Gennaro Ruotolo as the latter does not hold the relevant coaching badges. \n\nOn the playing front, the major story was the transfer of Kaka from AC Milan to Real Madrid for $92 million, and the club spent part of that money on Klaas-Jan Huntelaar who arrived from the Spanish outfit for a fee in the region of $21m. CNN's Pedro Pinto previews the coming campaign. » \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91529\": \"What country sponsors the Serie A?\"\n },\n {\n \"91530\": \"Where did Ancelotti leave to?\"\n },\n {\n \"91531\": \"From where?\"\n },\n {\n \"91532\": \"Who replaced him?\"\n },\n {\n \"91533\": \"How much did it cost to obtain Kaka as a player?\"\n },\n {\n \"91534\": \"Who gave him away?\"\n },\n {\n \"91535\": \"Who paid?\"\n },\n {\n \"91536\": \"Who else was transferred?\"\n },\n {\n \"91537\": \"How much did that cost?\"\n },\n {\n \"91538\": \"What made Walter Zenga do well?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91529\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"91530\",\n \"answer\": \"Chelsea\"\n },\n {\n \"question_id\": \"91531\",\n \"answer\": \"AC Milan\"\n },\n {\n \"question_id\": \"91532\",\n \"answer\": \"Leonardo\"\n },\n {\n \"question_id\": \"91533\",\n \"answer\": \"$92 million\"\n },\n {\n \"question_id\": \"91534\",\n \"answer\": \"AC Milan\"\n },\n {\n \"question_id\": \"91535\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"91536\",\n \"answer\": \"Klaas-Jan Huntelaar\"\n },\n {\n \"question_id\": \"91537\",\n \"answer\": \"around $21m\"\n },\n {\n \"question_id\": \"91538\",\n \"answer\": \"guiding Catania to a mid-table finish\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Robert Barchi believed he had much more important business to deal with at Rutgers, and in many ways, he's probably right. He is overseeing a massive merger between the university and the state's medical schools, one that will shape higher education in New Jersey for generations. \n\nBut now there was an issue involving a videotape of his basketball coach. This was early December, just after Rutgers had received a much-celebrated invitation to the Big Ten Conference. The tape contained clips of Mike Rice throwing basketballs at his players, shoving them and cursing at them, and using a homophobic slur. \n\nWhen it was given to ESPN months later, it dominated the airwaves for a week and sparked a scandal that rocked the Rutgers athletic department and, for many alums, disgraced the school. \n\nThe tape was toxic. The tape overshadowed everything Barchi was trying to accomplish on the New Brunswick, New Jersey, campus. But he never watched that tape until after it aired. \n\n\"It was a revelation,\" Barchi said a few weeks later, \"that the intensity of the response, both within the community, within the state and nationally on this very important and very serious issue could totally swamp out all of the other issues we're trying to deal with and color everything else we're doing.\" \n\nRevelation isn't the right word. Reality is. Barchi isn't the first university president -- and he won't be the last -- to learn how a scandal in college athletics can shape his administration or, for some, end it entirely. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20945\": \"Who is the primary subject of this article?\"\n },\n {\n \"20946\": \"Where does he work?\"\n },\n {\n \"20947\": \"What entities is he supervising a merger between?\"\n },\n {\n \"20948\": \"is this an event with far-reaching consequences?\"\n },\n {\n \"20949\": \"What member of his staff did he have an issue with?\"\n },\n {\n \"20950\": \"What month did this transpire?\"\n },\n {\n \"20951\": \"What significant event had occurred prior to the incident?\"\n },\n {\n \"20952\": \"What is the name of the coach?\"\n },\n {\n \"20953\": \"What did the tape show him doing?\"\n },\n {\n \"20954\": \"What else?\"\n },\n {\n \"20955\": \"Anything other offenses?\"\n },\n {\n \"20956\": \"What specific offensive language did he use?\"\n },\n {\n \"20957\": \"Which network got a hold of the recording?\"\n },\n {\n \"20958\": \"Was it a popular story?\"\n },\n {\n \"20959\": \"Did it reflect well on the school?\"\n },\n {\n \"20960\": \"Had Barchi seen the recording before the network showed it?\"\n },\n {\n \"20961\": \"How did the tape affect Barchi's efforts at Rutgers?\"\n },\n {\n \"20962\": \"What state is Rutgers located in?\"\n },\n {\n \"20963\": \"And what city?\"\n },\n {\n \"20964\": \"How did he describe the response to the recording?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20945\",\n \"answer\": \"Robert Barchi.\"\n },\n {\n \"question_id\": \"20946\",\n \"answer\": \"Rutgers.\"\n },\n {\n \"question_id\": \"20947\",\n \"answer\": \"The university and the state's medical schools.\"\n },\n {\n \"question_id\": \"20948\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"20949\",\n \"answer\": \"His basketball coach.\"\n },\n {\n \"question_id\": \"20950\",\n \"answer\": \"December.\"\n },\n {\n \"question_id\": \"20951\",\n \"answer\": \"Rutgers had received an invitation to the Big Ten Conference.\"\n },\n {\n \"question_id\": \"20952\",\n \"answer\": \"Mike Rice.\"\n },\n {\n \"question_id\": \"20953\",\n \"answer\": \"Throwing basketballs at his players.\"\n },\n {\n \"question_id\": \"20954\",\n \"answer\": \"Shoving them.\"\n },\n {\n \"question_id\": \"20955\",\n \"answer\": \"Cursing at them.\"\n },\n {\n \"question_id\": \"20956\",\n \"answer\": \"A homophobic slur.\"\n },\n {\n \"question_id\": \"20957\",\n \"answer\": \"ESPN.\"\n },\n {\n \"question_id\": \"20958\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"20959\",\n \"answer\": \"No..\"\n },\n {\n \"question_id\": \"20960\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20961\",\n \"answer\": \"It overshadowed everything he was trying to accomplish.\"\n },\n {\n \"question_id\": \"20962\",\n \"answer\": \"New Jersey.\"\n },\n {\n \"question_id\": \"20963\",\n \"answer\": \"New Brunswick.\"\n },\n {\n \"question_id\": \"20964\",\n \"answer\": \"A revelation.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 2 \n\nAmelius went straight back to the cottage, with the one desperate purpose of reverting to the old plan, and burying himself in his books. Surveying his well-filled shelves with an impatience unworthy of a scholar, Hume's \"History of England\" unhappily caught his eye. He took down the first volume. In less than half an hour he discovered that Hume could do nothing for him. Wisely inspired, he turned to the truer history next, which men call fiction. The writings of the one supreme genius, who soars above all other novelists as Shakespeare soars above all other dramatists--the writings of Walter Scott--had their place of honour in his library. The collection of the Waverley Novels at Tadmor had not been complete. Enviable Amelius had still to read _Rob Roy._ He opened the book. For the rest of the day he was in love with Diana Vernon; and when he looked out once or twice at the garden to rest his eyes, he saw \"Andrew Fairservice\" busy over the flowerbeds. \n\nHe closed the last page of the noble story as Toff came in to lay the cloth for dinner. \n\nThe master at table and the servant behind his chair were accustomed to gossip pleasantly during meals. Amelius did his best to carry on the talk as usual. But he was no longer in the delightful world of illusion which Scott had opened to him. The hard realities of his own everyday life had gathered round him again. Observing him with unobtrusive attention, the Frenchman soon perceived the absence of the easy humour and the excellent appetite which distinguished his young master at other times. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21951\": \"Where did Ameilus go back to?\"\n },\n {\n \"21952\": \"What did he plan to do?\"\n },\n {\n \"21953\": \"What book first caught his eye?\"\n },\n {\n \"21954\": \"Was his collection of Waverley novels complete?\"\n },\n {\n \"21955\": \"What were the master at the table and servant behind his chair use to?\"\n },\n {\n \"21956\": \"What did the Frenchman notice?\"\n },\n {\n \"21957\": \"Who did Amelius think was a supreme genius?\"\n },\n {\n \"21958\": \"Did he think anyone else wrote better drama?\"\n },\n {\n \"21959\": \"What book did he end up reading?\"\n },\n {\n \"21960\": \"Who put the cloth down for dinner?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21951\",\n \"answer\": \"the cottage\"\n },\n {\n \"question_id\": \"21952\",\n \"answer\": \"burying himself in his books\"\n },\n {\n \"question_id\": \"21953\",\n \"answer\": \"Hume's \\\"History of England\\\"\"\n },\n {\n \"question_id\": \"21954\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21955\",\n \"answer\": \"to gossip pleasantly during meals\"\n },\n {\n \"question_id\": \"21956\",\n \"answer\": \"the absence of the easy humour and the excellent appetite which distinguished his young master at other times\"\n },\n {\n \"question_id\": \"21957\",\n \"answer\": \"Shakespeare\"\n },\n {\n \"question_id\": \"21958\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21959\",\n \"answer\": \"Rob Roy\"\n },\n {\n \"question_id\": \"21960\",\n \"answer\": \"Toff\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Dolores Huerta has worked hard most of her life to help other people. She has helped change things so that farm workers can have a better life. Dolores grew up in California. She was a good student and liked school. After she finished high school, she went to college and studied to be a teacher. After she became a teacher, Dolores noticed that many of her students were not getting enough food to eat. Some of them wore very old clothes. Dolores wondered how she could help them. Dolores decided to stop teaching so that she could spend more time helping the farm workers and their families. One thing she wanted to do was to get more pay for farm workers so they could buy their children the things they needed. Dolores knew that many farm workers moved often from one place to another to help pick different kinds of fruits and vegetables. She began talking and writing about these workers. Even people who lived far from California read what Dolores wrote. Getting higher pay for the farm workers was not easy. Dolores worked hard to make sure that farm workers got good pay for their work. She knew that nothing would change unless people made new laws to help the workers. Through all her hard work, new laws were made that gave farm workers good pay. Dolores Huerta has worked for more than 30 years in many different ways to make life better for working people. She has shown how much one person can change things.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69427\": \"Was getting higher wages for the workers easy?\"\n },\n {\n \"69428\": \"But did someone make it happen?\"\n },\n {\n \"69429\": \"Who?\"\n },\n {\n \"69430\": \"She thought nothing would change unless what new things were made?\"\n },\n {\n \"69431\": \"Were new laws made?\"\n },\n {\n \"69432\": \"How many years did Dolores invest in helping the workers?\"\n },\n {\n \"69433\": \"Where was she raised?\"\n },\n {\n \"69434\": \"Did she do good in school?\"\n },\n {\n \"69435\": \"Did she enjoy going?\"\n },\n {\n \"69436\": \"Did she finish high school?\"\n },\n {\n \"69437\": \"Where did she go after that?\"\n },\n {\n \"69438\": \"What did she study to be?\"\n },\n {\n \"69439\": \"What were many of her students not getting enough of?\"\n },\n {\n \"69440\": \"What were their clothes like?\"\n },\n {\n \"69441\": \"Did Dolores quit her job?\"\n },\n {\n \"69442\": \"Why?\"\n },\n {\n \"69443\": \"Why did she want the workers to make more money?\"\n },\n {\n \"69444\": \"Do farm workers travel from place to place?\"\n },\n {\n \"69445\": \"So they can do what?\"\n },\n {\n \"69446\": \"Did she write about the farm workers?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69427\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69428\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69429\",\n \"answer\": \"Dolores Huerta\"\n },\n {\n \"question_id\": \"69430\",\n \"answer\": \"New laws to help the workers.\"\n },\n {\n \"question_id\": \"69431\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69432\",\n \"answer\": \"More than 30 years\"\n },\n {\n \"question_id\": \"69433\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"69434\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69435\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69436\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69437\",\n \"answer\": \"College\"\n },\n {\n \"question_id\": \"69438\",\n \"answer\": \"A teacher\"\n },\n {\n \"question_id\": \"69439\",\n \"answer\": \"Food\"\n },\n {\n \"question_id\": \"69440\",\n \"answer\": \"Very old\"\n },\n {\n \"question_id\": \"69441\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69442\",\n \"answer\": \"So she could spend more time helping the farm workers\"\n },\n {\n \"question_id\": \"69443\",\n \"answer\": \"So they could buy their children the things they needed\"\n },\n {\n \"question_id\": \"69444\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69445\",\n \"answer\": \"To pick fruits and vegetables\"\n },\n {\n \"question_id\": \"69446\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII \n\nLAST DAYS ON THE FARM \n\n\"I believe you are right,\" said Tom, after he, too, had looked over some of the bits of paper strewn around. \"Here is the word 'box' and here is the word 'Saturday.'\" \n\n\"Yes, and here are the words, 'fast freight,'\" added Sam. \"This was nothing more than a letter box for the freight thieves.\" \n\n\"But why was it placed here?\" questioned Dick. \"It's a very out-of-the-way place and hard to get to.\" \n\n\"Maybe somebody had to come this way,\" answered Tom. \"See, here is something of a trail.\" \n\n\"Yes, and here are those same big footprints!\" exclaimed Sam. \"For all we know they may lead to some house or hut on the mountainside.\" \n\nHaving picked up the majority of the bits of paper and put them in their pockets for future examination, the three Rover boys followed the path or trail they had discovered. It led along the mountainside to where there was a small clearing, backed up by a series of rocks from which a spring gushed forth, sparkling brightly in the sunshine. \n\n\"I'd like to get another drink,\" said Sam; \"I am terribly thirsty to-day.\" \n\n\"Wait!\" warned Dick, and caught his youngest brother by the arm. \n\n\"What's up, Dick?\" \n\n\"I see a log cabin--over yonder, among the trees.\" \n\n\"Yes, and I see Dangler!\" yelled Tom, suddenly. \"There he goes, with a big bundle over his shoulder!\" And he pointed to the rear of the log cabin. A man was just disappearing behind a fringe of brushwood. The bundle he carried appeared to be tied up in a horse blanket. He was running as hard as he could. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46536\": \"What did the boys find?\"\n },\n {\n \"46537\": \"Were the letters intact?\"\n },\n {\n \"46538\": \"How many words did Tom say he found?\"\n },\n {\n \"46539\": \"What about Sam?\"\n },\n {\n \"46540\": \"How many boys were there?\"\n },\n {\n \"46541\": \"What did they find next?\"\n },\n {\n \"46542\": \"What did Sam see on the ground?\"\n },\n {\n \"46543\": \"Were they small?\"\n },\n {\n \"46544\": \"Did they take the papers with them?\"\n },\n {\n \"46545\": \"Where did they think they might end up?\"\n },\n {\n \"46546\": \"Who wanted water?\"\n },\n {\n \"46547\": \"From what?\"\n },\n {\n \"46548\": \"What did Dick notice?\"\n },\n {\n \"46549\": \"Who did they see?\"\n },\n {\n \"46550\": \"Was he walking somewhere?\"\n },\n {\n \"46551\": \"What was he carrying?\"\n },\n {\n \"46552\": \"Was it a cloudy day?\"\n },\n {\n \"46553\": \"Who was the youngest?\"\n },\n {\n \"46554\": \"Were the letters found in a popular place?\"\n },\n {\n \"46555\": \"Where was the spring located?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"46536\",\n \"answer\": \"a letter box\"\n },\n {\n \"question_id\": \"46537\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46538\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"46539\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"46540\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"46541\",\n \"answer\": \"a trail.\"\n },\n {\n \"question_id\": \"46542\",\n \"answer\": \"footprints\"\n },\n {\n \"question_id\": \"46543\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46544\",\n \"answer\": \"The majority\"\n },\n {\n \"question_id\": \"46545\",\n \"answer\": \"some house or hut\"\n },\n {\n \"question_id\": \"46546\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"46547\",\n \"answer\": \"a spring\"\n },\n {\n \"question_id\": \"46548\",\n \"answer\": \"a log cabin\"\n },\n {\n \"question_id\": \"46549\",\n \"answer\": \"Dangler\"\n },\n {\n \"question_id\": \"46550\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46551\",\n \"answer\": \"a big bundle\"\n },\n {\n \"question_id\": \"46552\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46553\",\n \"answer\": \"Unknown\"\n },\n {\n \"question_id\": \"46554\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"46555\",\n \"answer\": \"a small clearing\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XV. HEAVE HALF A BRICK AT HIM \n\n\n\n\"For strangers then did so increase, By reason of King Henry's queen, And privileged in many a place To dwell, as was in London seen. Poor tradesmen had small dealing then And who but strangers bore the bell, Which was a grief to Englishmen To see them here in London dwell.\" \n\nIll May Day, by CHURCHILL, a Contemporary Poet. \n\nTime passed on, and Edmund Burgess, who had been sent from York to learn the perfection of his craft, completed his term and returned to his home, much regretted in the Dragon court, where his good humour and good sense had generally kept the peace, both within and without. \n\nGiles Headley was now the eldest prentice. He was in every way greatly improved, thoroughly accepting his position, and showing himself quite ready both to learn and to work; but he had not the will or the power of avoiding disputes with outsiders, or turning them aside with a merry jest; and rivalries and quarrels with the armoury at the Eagle began to increase. The Dragon, no doubt, turned out finer workmanship, and this the Eagle alleged was wholly owing to nefarious traffic with the old Spanish or Moorish sorcerer in Warwick Inner Yard, a thing unworthy of honest Englishmen. This made Giles furious, and the cry never failed to end in a fight, in which Stephen supported the cause of the one house, and George Bates and his comrades of the other. \n\nIt was the same with even the archery at Mile End, where the butts were erected, and the youth contended with the long bow, which was still considered as the safeguard of England. King Henry often looked in on these matches, and did honour to the winners. One match there was in especial, on Mothering Sunday, when the champions of each guild shot against one another at such a range that it needed a keen eye to see the popinjay--a stuffed bird at which they shot. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4197\": \"Who would be returning home?\"\n },\n {\n \"4198\": \"Who was not happy about this?\"\n },\n {\n \"4199\": \"Who sent him to hone his craft?\"\n },\n {\n \"4200\": \"Who sent Burgess to hone his craft?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4197\",\n \"answer\": \"Edmund Burgess\"\n },\n {\n \"question_id\": \"4198\",\n \"answer\": \"Giles\"\n },\n {\n \"question_id\": \"4199\",\n \"answer\": \"Unknown\"\n },\n {\n \"question_id\": \"4200\",\n \"answer\": \"King Henry's queen\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Book 1 : Brack Obama \n\nGrades: 3-5 \n\nOur Price: $ 8.95 \n\nHis mother came from Kansas. His father came from Kenya. He grew up in Hawaii and Indonesia, far from the center of American politics. Few people had even heard of Brack Obama before 2004. But one powerful speech in Boston changed all that for the Illinois senator . In 2008, this inspiring leader ran for the country's top job, President. \n\nBook 2: Danica Patrick \n\nGrades: 3-5 \n\nOur Price: $ 8.95 \n\nGrowing up, Danica Patrick dreamed of racing in the Indianapolis 500. In 2005, her dream came true. Danica finished the race in fourth place, the best ever result by a woman. Three years later, she became the first female to win an IndyCar race. As a woman competing in a sport dominated by men, Danica faced many obstacles. But she never stopped believing in herself, no matter what the difficulties. \n\nBook 3: Ellen Ochoa \n\nGrades: 3-5 \n\nOur Price: $ 8.95 \n\nSome people dream of becoming stars. Ellen Ochoa dreamed of living among them! She worked hard to make her dream of becoming an astronaut come true. On April 8, 1993, she strapped herself in for the ride of her life aboard the space shuttle Discovery. Ochoa aimed high and ly went where no Hispanic woman had gone before. Find out about Ochoa's amazing journey in her own words and photos from her personal collection! \n\nBook 4: LeBron James \n\nGrades: 3-5 \n\nOur Price: $ 8.95 \n\nFans, teammates, and opponents know him as King James. Many people consider LeBron James to be the most talented basketball Player of his generation. But there is much more to his story. He overcame hard times as a kid and rose to national fame as a teenager. He then jumped right from high school to the pros. Along the way, LeBron never lost sight of where he came from or who he is.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71418\": \"How much do the books cost?\"\n },\n {\n \"71419\": \"Are they all for the same age range?\"\n },\n {\n \"71420\": \"What grades are they meant for?\"\n },\n {\n \"71421\": \"Are they biographies?\"\n },\n {\n \"71422\": \"What did Obama become?\"\n },\n {\n \"71423\": \"Where is his mother from?\"\n },\n {\n \"71424\": \"His father?\"\n },\n {\n \"71425\": \"Where did he spend his childhood\"\n },\n {\n \"71426\": \"What did he do in Boston?\"\n },\n {\n \"71427\": \"What was the profession of Ellen Ochoa\"\n },\n {\n \"71428\": \"When was Ellen's first flight?\"\n },\n {\n \"71429\": \"On what?\"\n },\n {\n \"71430\": \"Which one?\"\n },\n {\n \"71431\": \"Was she the first Black woman to do this?\"\n },\n {\n \"71432\": \"What was she?\"\n },\n {\n \"71433\": \"What did Danica Patrick do?\"\n },\n {\n \"71434\": \"Which one?\"\n },\n {\n \"71435\": \"Was this a first for women?\"\n },\n {\n \"71436\": \"What is LeBron's nickname?\"\n },\n {\n \"71437\": \"What sport does he play?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"71418\",\n \"answer\": \"$ 8.95\"\n },\n {\n \"question_id\": \"71419\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71420\",\n \"answer\": \"Grades: 3-5\"\n },\n {\n \"question_id\": \"71421\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71422\",\n \"answer\": \"President\"\n },\n {\n \"question_id\": \"71423\",\n \"answer\": \"Kansas\"\n },\n {\n \"question_id\": \"71424\",\n \"answer\": \"Kenya\"\n },\n {\n \"question_id\": \"71425\",\n \"answer\": \"Hawaii\"\n },\n {\n \"question_id\": \"71426\",\n \"answer\": \"Made a speech\"\n },\n {\n \"question_id\": \"71427\",\n \"answer\": \"Racer\"\n },\n {\n \"question_id\": \"71428\",\n \"answer\": \"1993\"\n },\n {\n \"question_id\": \"71429\",\n \"answer\": \"a space shuttle\"\n },\n {\n \"question_id\": \"71430\",\n \"answer\": \"Discovery\"\n },\n {\n \"question_id\": \"71431\",\n \"answer\": \"No, she wasn't black\"\n },\n {\n \"question_id\": \"71432\",\n \"answer\": \"Hispanic\"\n },\n {\n \"question_id\": \"71433\",\n \"answer\": \"Won a race\"\n },\n {\n \"question_id\": \"71434\",\n \"answer\": \"IndyCar\"\n },\n {\n \"question_id\": \"71435\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71436\",\n \"answer\": \"King James\"\n },\n {\n \"question_id\": \"71437\",\n \"answer\": \"Basketball\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nCROSSING THE CREEK. \n\n\"Now, then,\" said Harry, \"here's the boat and a good pole, and you've nothing to do, Harvey, but just to get in and push yourself over to your station as fast as you can.\" \n\nBut the situation did not seem to strike Harvey very favorably. He looked rather dissatisfied with the arrangement made for him. \n\n\"I can't swim,\" he said. \"At least, not much, you know.\" \n\n\"Well, who wants you to swim?\" said Harry, laughing. \"That's a pretty joke. Are you thinking of swimming across, and towing the boat after you? You can push her over easy enough; that pole will reach the bottom anywhere.\" \n\n\"Dat's so,\" said old Lewston. \"It'll touch de bottom ob de water, but I don't know 'bout de bottom ob de mud. Ye musn't push her down too deep. Dar's 'bout as much mud as water out dar in de creek.\" \n\nThe more they talked about the matter, the greater became Harvey's disinclination to go over. He was not a coward, but he was not used to the water or the management of a boat, and the trip seemed much more difficult to him than it would have appeared to a boy accustomed to boating. \n\n\"I tell you what we'll do,\" cried Harry, at last. \"You take my station, Harvey, and I'll go over and work your end of the line.\" \n\nThere was no opposition to this plan, and so Harry hurried off with Harvey to Lewston's cabin and helped him to make the connections and get the line in working order at that end, and then he ran down to the boat, jumped in, and Lewston pushed him off. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96622\": \"was harry used to the water management of the boat?\"\n },\n {\n \"96623\": \"who was he talking over with?\"\n },\n {\n \"96624\": \"who didn't know how to swim?\"\n },\n {\n \"96625\": \"where was he supposed to go with the boat?\"\n },\n {\n \"96626\": \"did he want to go?\"\n },\n {\n \"96627\": \"did he think it would be easy or hard?\"\n },\n {\n \"96628\": \"what did Harry suggest to do?\"\n },\n {\n \"96629\": \"was Harvey ok with it?\"\n },\n {\n \"96630\": \"where did they go together?\"\n },\n {\n \"96631\": \"what did they do at the cabin?\"\n },\n {\n \"96632\": \"did only one of them run to the boat?\"\n },\n {\n \"96633\": \"who jumped in it?\"\n },\n {\n \"96634\": \"what did Lewston do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96622\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"96623\",\n \"answer\": \"Lewston and Harry.\"\n },\n {\n \"question_id\": \"96624\",\n \"answer\": \"Harvey.\"\n },\n {\n \"question_id\": \"96625\",\n \"answer\": \"His station.\"\n },\n {\n \"question_id\": \"96626\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"96627\",\n \"answer\": \"Hard.\"\n },\n {\n \"question_id\": \"96628\",\n \"answer\": \"Switch jobs with Harvey.\"\n },\n {\n \"question_id\": \"96629\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"96630\",\n \"answer\": \"Lewston's cabin.\"\n },\n {\n \"question_id\": \"96631\",\n \"answer\": \"Make the connections and get the line in working order.\"\n },\n {\n \"question_id\": \"96632\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"96633\",\n \"answer\": \"Harvey.\"\n },\n {\n \"question_id\": \"96634\",\n \"answer\": \"Pushed him off.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Amy Pankratz spent a few nights in the hospital with her daughter, Isabella, who caught a bad flu. \"Lying in bed beside Isabella, I could hear the cries of children in pain, \"says Amy. \"It completely broke my heart.\" \n\nWhen Isabella was getting well and could leave her room, she wore her prized possession--a \"superhero cape \" Amy had sewn to encourage her--and walked into the hallway. The pink cape was an instant hit with the other young patients, who were doing exercise around the nursing station. \"Then, all the kidswere taking turns wearing the cape, giggling, \"Amy says. \"These were some of the same children I had heard crying the night before, and here they were playing and having fun--kids just being kids!\" \n\nFrom that moment on, Amy began making Comfort Capes for little ones battling with serious illnesses. \"I felt God presenting an opportunity, \"she says. \"I hoped Comfort Capes can help these kids feel brave, to lift some of the fear away. \" \n\nSince then, Amy has made and donated more than 5, 000 capes in the United States. Amy usually pays for materials herself, although she accepts donations. \n\nThe capes she makes for kids in treatment are different from those her own children have. Before Amy starts to sew she learns what image or character the little boy or girl connects with. \"I choose the pattern, color and theme specially for each child,\" explains Amy. \n\nWhen she is not sewing, Amy is raising awareness of childhood cancers and looking into ways to get Comfort Capes to more kids who need them, \"If a cape can help a child, even only for a moment, forget his illness, it's worth the time spent sewing,\" she says.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80264\": \"What broke Amy's heart?\"\n },\n {\n \"80265\": \"where?\"\n },\n {\n \"80266\": \"Where were the kids?\"\n },\n {\n \"80267\": \"What did she do about it?\"\n },\n {\n \"80268\": \"What did she start to do to help?\"\n },\n {\n \"80269\": \"What did she do with the capes?\"\n },\n {\n \"80270\": \"Who did she make the first cape for?\"\n },\n {\n \"80271\": \"Who was that?\"\n },\n {\n \"80272\": \"Why did she sew it for her?\"\n },\n {\n \"80273\": \"Why was Isabella in the hospital?\"\n },\n {\n \"80274\": \"What did she hope comfort capes would do?\"\n },\n {\n \"80275\": \"Are all the capes the same?\"\n },\n {\n \"80276\": \"What does she do for each cape and child?\"\n },\n {\n \"80277\": \"Do they pay for them themselves?\"\n },\n {\n \"80278\": \"who does?\"\n },\n {\n \"80279\": \"Does Amy pay also?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"80264\",\n \"answer\": \"cries of children in pain,\"\n },\n {\n \"question_id\": \"80265\",\n \"answer\": \"Lying in bed\"\n },\n {\n \"question_id\": \"80266\",\n \"answer\": \"in the hospital\"\n },\n {\n \"question_id\": \"80267\",\n \"answer\": \"spent a few nights\"\n },\n {\n \"question_id\": \"80268\",\n \"answer\": \"pink cape\"\n },\n {\n \"question_id\": \"80269\",\n \"answer\": \"began making Comfort Capes\"\n },\n {\n \"question_id\": \"80270\",\n \"answer\": \"Isabella\"\n },\n {\n \"question_id\": \"80271\",\n \"answer\": \"her daughter\"\n },\n {\n \"question_id\": \"80272\",\n \"answer\": \"to encourage her\"\n },\n {\n \"question_id\": \"80273\",\n \"answer\": \"bad flu\"\n },\n {\n \"question_id\": \"80274\",\n \"answer\": \"help these kids feel brave\"\n },\n {\n \"question_id\": \"80275\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80276\",\n \"answer\": \"choose the pattern, color and theme specially for each child,\"\n },\n {\n \"question_id\": \"80277\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80278\",\n \"answer\": \"donated\"\n },\n {\n \"question_id\": \"80279\",\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 region, as part of Lorraine, was part of the Holy Roman Empire, and then was gradually annexed by France in the 17th century, and formalized as one of the provinces of France. The Calvinist manufacturing republic of Mulhouse, known as Stadtrepublik Mülhausen, became a part of Alsace after a vote by its citizens on 4 January 1798. Alsace is frequently mentioned with and as part of Lorraine and the former duchy of Lorraine, since it was a vital part of the duchy, and later because German possession as the imperial province (Alsace-Lorraine, 1871–1918) was contested in the 19th and 20th centuries; France and Germany exchanged control of parts of Lorraine (including Alsace) four times in 75 years. \n\nWith the decline of the Roman Empire, Alsace became the territory of the Germanic Alemanni. The Alemanni were agricultural people, and their Germanic language formed the basis of modern-day dialects spoken along the Upper Rhine (Alsatian, Alemannian, Swabian, Swiss). Clovis and the Franks defeated the Alemanni during the 5th century AD, culminating with the Battle of Tolbiac, and Alsace became part of the Kingdom of Austrasia. Under Clovis' Merovingian successors the inhabitants were Christianized. Alsace remained under Frankish control until the Frankish realm, following the Oaths of Strasbourg of 842, was formally dissolved in 843 at the Treaty of Verdun; the grandsons of Charlemagne divided the realm into three parts. Alsace formed part of the Middle Francia, which was ruled by the youngest grandson Lothar I. Lothar died early in 855 and his realm was divided into three parts. The part known as Lotharingia, or Lorraine, was given to Lothar's son. The rest was shared between Lothar's brothers Charles the Bald (ruler of the West Frankish realm) and Louis the German (ruler of the East Frankish realm). The Kingdom of Lotharingia was short-lived, however, becoming the stem duchy of Lorraine in Eastern Francia after the Treaty of Ribemont in 880. Alsace was united with the other Alemanni east of the Rhine into the stem duchy of Swabia.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3901\": \"What happened to the Alsace region with the fall of Rome?\"\n },\n {\n \"3902\": \"Were these mostly hunters?\"\n },\n {\n \"3903\": \"What languages did they influence?\"\n },\n {\n \"3904\": \"What river runs through the area?\"\n },\n {\n \"3905\": \"When did Alsace get integrated into Austrasia?\"\n },\n {\n \"3906\": \"What was the fight that led to that?\"\n },\n {\n \"3907\": \"What religion did they practice after that?\"\n },\n {\n \"3908\": \"What happened in 843?\"\n },\n {\n \"3909\": \"What did that do?\"\n },\n {\n \"3910\": \"Who split up the area?\"\n },\n {\n \"3911\": \"How many pieces?\"\n },\n {\n \"3912\": \"What later happened to the part that Alsace was in?\"\n },\n {\n \"3913\": \"Of those, what was Alsace's division called?\"\n },\n {\n \"3914\": \"Did Lotharingia last a long time?\"\n },\n {\n \"3915\": \"What did Alsace become next?\"\n },\n {\n \"3916\": \"When did France first get control of the area?\"\n },\n {\n \"3917\": \"What else is Alsace known as?\"\n },\n {\n \"3918\": \"Did France keep control of the region ever since?\"\n },\n {\n \"3919\": \"What other country had it?\"\n },\n {\n \"3920\": \"How many times did it change hands in the 19th and 20th centuries?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3901\",\n \"answer\": \"Alsace became the territory of the Germanic Alemanni.\"\n },\n {\n \"question_id\": \"3902\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3903\",\n \"answer\": \"Alsatian, Alemannian, Swabian, Swiss\"\n },\n {\n \"question_id\": \"3904\",\n \"answer\": \"Rhine\"\n },\n {\n \"question_id\": \"3905\",\n \"answer\": \"5th century AD\"\n },\n {\n \"question_id\": \"3906\",\n \"answer\": \"Battle of Tolbiac\"\n },\n {\n \"question_id\": \"3907\",\n \"answer\": \"Christian\"\n },\n {\n \"question_id\": \"3908\",\n \"answer\": \"the Treaty of Verdun\"\n },\n {\n \"question_id\": \"3909\",\n \"answer\": \"the Frankish realm was formally dissolved\"\n },\n {\n \"question_id\": \"3910\",\n \"answer\": \"the grandsons of Charlemagne\"\n },\n {\n \"question_id\": \"3911\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"3912\",\n \"answer\": \"It was divided into three parts\"\n },\n {\n \"question_id\": \"3913\",\n \"answer\": \"Lotharingia, or Lorraine\"\n },\n {\n \"question_id\": \"3914\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3915\",\n \"answer\": \"Swabia\"\n },\n {\n \"question_id\": \"3916\",\n \"answer\": \"17th century\"\n },\n {\n \"question_id\": \"3917\",\n \"answer\": \"Lorraine\"\n },\n {\n \"question_id\": \"3918\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3919\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"3920\",\n \"answer\": \"four\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Greenwich (, , or ) is an area of south east London, England, located east-southeast of Charing Cross. It is located within the Royal Borough of Greenwich, to which it lends its name. \n\nGreenwich is notable for its maritime history and for giving its name to the Greenwich Meridian (0° longitude) and Greenwich Mean Time. The town became the site of a royal palace, the Palace of Placentia from the 15th century, and was the birthplace of many Tudors, including Henry VIII and Elizabeth I. The palace fell into disrepair during the English Civil War and was rebuilt as the Royal Naval Hospital for Sailors by Sir Christopher Wren and his assistant Nicholas Hawksmoor. These buildings became the Royal Naval College in 1873, and they remained an establishment for military education until 1998 when they passed into the hands of the Greenwich Foundation. The historic rooms within these buildings remain open to the public; other buildings are used by University of Greenwich and Trinity Laban Conservatoire of Music and Dance. \n\nThe town became a popular resort in the 18th century and many grand houses were built there, such as Vanbrugh Castle (1717) established on Maze Hill, next to the park. From the Georgian period estates of houses were constructed above the town centre. The maritime connections of Greenwich were celebrated in the 20th century, with the siting of the \"Cutty Sark\" and \"Gipsy Moth IV\" next to the river front, and the National Maritime Museum in the former buildings of the Royal Hospital School in 1934. Greenwich formed part of Kent until 1889 when the County of London was created.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15414\": \"what country is the town the article is covering in?\"\n },\n {\n \"15415\": \"what is it named?\"\n },\n {\n \"15416\": \"where is it?\"\n },\n {\n \"15417\": \"when did it become a vacation hot spot?\"\n },\n {\n \"15418\": \"are there any famous buildings there?\"\n },\n {\n \"15419\": \"what is one of them?\"\n },\n {\n \"15420\": \"when was that built?\"\n },\n {\n \"15421\": \"where is it?\"\n },\n {\n \"15422\": \"where is that?\"\n },\n {\n \"15423\": \"was the city ever the home of royalty?\"\n },\n {\n \"15424\": \"how many royals were born there?\"\n },\n {\n \"15425\": \"are any named in the article?\"\n },\n {\n \"15426\": \"who?\"\n },\n {\n \"15427\": \"what building was from the fifteenth century?\"\n },\n {\n \"15428\": \"is it still called that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"15414\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"15415\",\n \"answer\": \"Greenwich\"\n },\n {\n \"question_id\": \"15416\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"15417\",\n \"answer\": \"18th century\"\n },\n {\n \"question_id\": \"15418\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15419\",\n \"answer\": \"Vanbrugh Castle\"\n },\n {\n \"question_id\": \"15420\",\n \"answer\": \"1717\"\n },\n {\n \"question_id\": \"15421\",\n \"answer\": \"Maze Hill\"\n },\n {\n \"question_id\": \"15422\",\n \"answer\": \"next to the park\"\n },\n {\n \"question_id\": \"15423\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15424\",\n \"answer\": \"many\"\n },\n {\n \"question_id\": \"15425\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15426\",\n \"answer\": \"Henry VIII and Elizabeth I\"\n },\n {\n \"question_id\": \"15427\",\n \"answer\": \"Palace of Placentia\"\n },\n {\n \"question_id\": \"15428\",\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 THE FOURTH. \n\nNow hold thy tongue, Billy Bewick, he said, Of peaceful talking: let me be; But if thou art a man, as I think thou art, Come ower the dyke and fight with me. BORDER MINSTRELSY. \n\nOn the morning after this gay evening, the two young men were labouring together in a plot of ground behind Stevenlaw's Land, which the Doctor had converted into a garden, where he raised, with a view to pharmacy as well as botany, some rare plants, which obtained the place from the vulgar the sounding name of the Physic Garden. [Footnote: The Botanic Garden is so termed by the vulgar of Edinburgh.] Mr. Gray's pupils readily complied with his wishes, that they would take some care of this favourite spot, to which both contributed their labours, after which Hartley used to devote himself to the cultivation of the kitchen garden, which he had raised into this respectability from a spot not excelling a common kail-yard, while Richard Middleman did his utmost to decorate with flowers and shrubs a sort of arbour, usually called Miss Menie's bower. \n\nAt present they were both in the botanic patch of the garden, when Dick Middlemas asked Hartley why he had left the ball so soon the evening before? \n\n\"I should rather ask you,\" said Hartley, \"what pleasure you felt in staying there?--I tell you, Dick, it is a shabby low place this Middlemas of ours. In the smallest burgh in England, every decent freeholder would have been asked if the Member gave a ball.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52391\": \"Who was told to be quiet?\"\n },\n {\n \"52392\": \"What does the man command Billy to do to prove his manhood?\"\n },\n {\n \"52393\": \"What did the men do the next morning?\"\n },\n {\n \"52394\": \"Where was this land?\"\n },\n {\n \"52395\": \"Who made it a gardenpatch?\"\n },\n {\n \"52396\": \"What was grown there?\"\n },\n {\n \"52397\": \"What was the Doc's wishes of his pupils?\"\n },\n {\n \"52398\": \"What was Richard's role in the garden?\"\n },\n {\n \"52399\": \"And Harltey's role?\"\n },\n {\n \"52400\": \"Who interrupted their work?\"\n },\n {\n \"52401\": \"What did he want to know?\"\n },\n {\n \"52402\": \"What is Hartley's opinion of the town?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52391\",\n \"answer\": \"Billy Bewick\"\n },\n {\n \"question_id\": \"52392\",\n \"answer\": \"fight him.\"\n },\n {\n \"question_id\": \"52393\",\n \"answer\": \"worked together on the land\"\n },\n {\n \"question_id\": \"52394\",\n \"answer\": \"behind Stevenlaw's Land\"\n },\n {\n \"question_id\": \"52395\",\n \"answer\": \"the Doctor\"\n },\n {\n \"question_id\": \"52396\",\n \"answer\": \"some rare plants\"\n },\n {\n \"question_id\": \"52397\",\n \"answer\": \"care of this favourite spot\"\n },\n {\n \"question_id\": \"52398\",\n \"answer\": \"to decorate with flowers and shrubs a sort of arbour\"\n },\n {\n \"question_id\": \"52399\",\n \"answer\": \"o devote himself to the cultivation of the kitchen garden\"\n },\n {\n \"question_id\": \"52400\",\n \"answer\": \"Dick Middlemas\"\n },\n {\n \"question_id\": \"52401\",\n \"answer\": \"why Hartey had left the ball so soon the evening before?\"\n },\n {\n \"question_id\": \"52402\",\n \"answer\": \"shabby low place\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n On October 9, 2006 at 6:00 a.m., the network switched to a 24-hour schedule, becoming one of the last major English-language broadcasters to transition to such a schedule. Most CBC-owned stations previously signed off the air during the early morning hours (typically from 1:00 a.m. to 6:00 a.m.). Instead of the infomercials aired by most private stations, or a simulcast of CBC News Network in the style of BBC One's nightly simulcast of BBC News Channel, the CBC uses the time to air repeats, including local news, primetime series, movies and other programming from the CBC library. Its French counterpart, Ici Radio-Canada Télé, still signs off every night. \n\nUntil 1998, the network carried a variety of American programs in addition to its core Canadian programming, directly competing with private Canadian broadcasters such as CTV and Global. Since then, it has restricted itself to Canadian programs, a handful of British programs, and a few American movies and off-network repeats. Since this change, the CBC has sometimes struggled to maintain ratings comparable to those it achieved before 1995, although it has seen somewhat of a ratings resurgence in recent years. In the 2007-08 season, hit series such as Little Mosque on the Prairie and The Border helped the network achieve its strongest ratings performance in over half a decade.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23751\": \"In 2007-2008 what shows helped the CBC ratings?\"\n },\n {\n \"23752\": \"How many viewers watched those shows?\"\n },\n {\n \"23753\": \"Was the station doing well before then?\"\n },\n {\n \"23754\": \"Why not?\"\n },\n {\n \"23755\": \"When did it do that?\"\n },\n {\n \"23756\": \"When did it become a 24 hour provider?\"\n },\n {\n \"23757\": \"Was it an early mover in that regard?\"\n },\n {\n \"23758\": \"Prior to 2006 when were it's channels off?\"\n },\n {\n \"23759\": \"What is it's French station called?\"\n },\n {\n \"23760\": \"That a 24 hour provider too?\"\n },\n {\n \"23761\": \"When does that one stop providing content?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23751\",\n \"answer\": \"Little Mosque on the Prairie and The Border\"\n },\n {\n \"question_id\": \"23752\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"23753\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23754\",\n \"answer\": \"it has restricted itself to Canadian programs\"\n },\n {\n \"question_id\": \"23755\",\n \"answer\": \"1998\"\n },\n {\n \"question_id\": \"23756\",\n \"answer\": \"On October 9, 2006 at 6:00 a.m\"\n },\n {\n \"question_id\": \"23757\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23758\",\n \"answer\": \"at 6:00 a.m\"\n },\n {\n \"question_id\": \"23759\",\n \"answer\": \"Ici Radio-Canada T\\u00e9l\\u00e9\"\n },\n {\n \"question_id\": \"23760\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23761\",\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 The United Kingdom of Great Britain and Northern Ireland, commonly known as the United Kingdom (UK) and colloquially Great Britain (GB) or simply Britain, is a sovereign country in western Europe. Lying off the north-western coast of the European mainland, the United Kingdom includes the island of Great Britain, the north-eastern part of the island of Ireland and many smaller islands. Northern Ireland is the only part of the United Kingdom that shares a land border with another sovereign statethe Republic of Ireland. Apart from this land border, the United Kingdom is surrounded by the Atlantic Ocean, with the North Sea to its east, the English Channel to its south and the Celtic Sea to its south-south-west, giving it the 12th-longest coastline in the world. The Irish Sea lies between Great Britain and Ireland. With an area of , the United Kingdom is the 78th-largest sovereign state in the world and the 11th-largest in Europe. It is also the 21st-most populous country, with an estimated 65.1 million inhabitants. Together, this makes it the fourth-most densely populated country in the European Union (EU). \n\nThe United Kingdom is a constitutional monarchy with a parliamentary democracy. The monarch is Queen Elizabeth II, who has reigned since 6 February 1952. The capital of the United Kingdom and its largest city is London, a global city and financial centre with an urban area population of 10.3 million, the fourth-largest in Europe and second-largest in the European Union. Other major urban areas in the United Kingdom include the conurbations centred on Birmingham, Leeds, Glasgow, Liverpool and Manchester. The United Kingdom consists of four countries—England, Scotland, Wales and Northern Ireland. The last three have devolved administrations, each with varying powers, based in their capitals, Edinburgh, Cardiff and Belfast, respectively. The nearby Isle of Man, Bailiwick of Guernsey and Bailiwick of Jersey are not part of the United Kingdom, being Crown dependencies with the British Government responsible for defence and international representation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4067\": \"Who is in charge of the United Kingdom?\"\n },\n {\n \"4068\": \"When did she get the job?\"\n },\n {\n \"4069\": \"What kind of government is it?\"\n },\n {\n \"4070\": \"What is the official name of United Kingdom?\"\n },\n {\n \"4071\": \"What else do people call it?\"\n },\n {\n \"4072\": \"Where is it?\"\n },\n {\n \"4073\": \"How many countries border it?\"\n },\n {\n \"4074\": \"Which one?\"\n },\n {\n \"4075\": \"Other than that what is all around it?\"\n },\n {\n \"4076\": \"Which ocean?\"\n },\n {\n \"4077\": \"What is on it's south-south-west side?\"\n },\n {\n \"4078\": \"What about the eastern side?\"\n },\n {\n \"4079\": \"and the Southern?\"\n },\n {\n \"4080\": \"Where in the world does it's coastline rank?\"\n },\n {\n \"4081\": \"What is it's capital?\"\n },\n {\n \"4082\": \"How many people live there?\"\n },\n {\n \"4083\": \"How many countries are in the UK?\"\n },\n {\n \"4084\": \"What are they?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4067\",\n \"answer\": \"Queen Elizabeth II\"\n },\n {\n \"question_id\": \"4068\",\n \"answer\": \"6 February 1952\"\n },\n {\n \"question_id\": \"4069\",\n \"answer\": \"constitutional monarchy\"\n },\n {\n \"question_id\": \"4070\",\n \"answer\": \"The United Kingdom of Great Britain and Northern Ireland\"\n },\n {\n \"question_id\": \"4071\",\n \"answer\": \"Great Britain\"\n },\n {\n \"question_id\": \"4072\",\n \"answer\": \"Europe\"\n },\n {\n \"question_id\": \"4073\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"4074\",\n \"answer\": \"Republic of Ireland\"\n },\n {\n \"question_id\": \"4075\",\n \"answer\": \"coastine\"\n },\n {\n \"question_id\": \"4076\",\n \"answer\": \"Atlantic Ocean\"\n },\n {\n \"question_id\": \"4077\",\n \"answer\": \"Celtic Sea\"\n },\n {\n \"question_id\": \"4078\",\n \"answer\": \"North Sea\"\n },\n {\n \"question_id\": \"4079\",\n \"answer\": \"English Channel\"\n },\n {\n \"question_id\": \"4080\",\n \"answer\": \"12th-longest\"\n },\n {\n \"question_id\": \"4081\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"4082\",\n \"answer\": \"65.1 million\"\n },\n {\n \"question_id\": \"4083\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"4084\",\n \"answer\": \"England, Scotland, Wales and Northern Ireland\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TWENTY ONE. \n\nMORE OF THE RESULTS OF WAR. \n\nI need not trouble the reader with an account of the meeting with my faithful servant. While we were still engaged in questioning each other, I noticed that the countenance of our friend the scout wore an anxious and almost impatient expression. \n\n\"Anything wrong, Dobri?\" I inquired. \n\n\"God knows!\" he replied in a solemn tone, which impressed me much. \"A rumour has come that the Circassians or the Bashi-Bazouks--I know not which, but both are fiends and cowards--have been to Venilik, and--\" \n\nHe stopped abruptly. \n\n\"But that village was in the hands of the Russians,\" I said, at once understanding his anxiety. \n\n\"It may be so, but I go to see without delay,\" he replied, \"and have only stopped thus long to know if you will go with me. These brutes kill and wound women and children as well as men. Perhaps your services may--Will you go?\" \n\nHe spoke so earnestly, and his face looked so deadly pale, that I felt it impossible to refuse him. I was much exhausted by the prolonged labours of the day, but knew that I had reserve strength for an emergency. \n\n\"Give me a few minutes,\" said I,--\"just to get leave, you know. I can't go without leave.\" \n\nThe scout nodded. In ten minutes I had returned. Meanwhile, Lancey had prepared my horse and his own. Swallowing a can of water, I vaulted into the saddle. It was very dark, but Petroff knew every foot of the country. For several hours we rode at a smart gallop, and then, as day was breaking, drew near to Venilik. As we approached, I observed that the bold countenance of the scout became almost pinched-looking from anxiety. Presently we observed smoke against the sky, and then saw that the village had undoubtedly been burned. I glanced at Petroff nervously. There was no longer a look of anxiety on his face, but a dark vindictive frown. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42234\": \"Who asked the king to go with him?\"\n },\n {\n \"42235\": \"Where were they going?\"\n },\n {\n \"42236\": \"Who did Dobri hear had been to Venilik?\"\n },\n {\n \"42237\": \"Who was supposed to be in control of the town?\"\n },\n {\n \"42238\": \"What did Dobri say the brutes do?\"\n },\n {\n \"42239\": \"And men?\"\n },\n {\n \"42240\": \"Who horses did Lancey get ready?\"\n },\n {\n \"42241\": \"How much water did he drink before they left?\"\n },\n {\n \"42242\": \"Was it daylight?\"\n },\n {\n \"42243\": \"Who was very familiar with the area?\"\n },\n {\n \"42244\": \"How fast did they travel?\"\n },\n {\n \"42245\": \"What did they see once they arrived?\"\n },\n {\n \"42246\": \"What was on Petroff's face now?\"\n },\n {\n \"42247\": \"What is this a story of, according to the author?\"\n },\n {\n \"42248\": \"What did Dobri call the Circassians and Bashi-Bazouks?\"\n },\n {\n \"42249\": \"Did his face look pale when he was asking for his friend to go with him to Venilik?\"\n },\n {\n \"42250\": \"Was the man already tired from working all day?\"\n },\n {\n \"42251\": \"What did he have for an emergency, though?\"\n },\n {\n \"42252\": \"What did he have to get before they could go?\"\n },\n {\n \"42253\": \"How long did it take him to get that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42234\",\n \"answer\": \"Dobri\"\n },\n {\n \"question_id\": \"42235\",\n \"answer\": \"Venilik.\"\n },\n {\n \"question_id\": \"42236\",\n \"answer\": \"the Circassians or the Bashi-Bazouks\"\n },\n {\n \"question_id\": \"42237\",\n \"answer\": \"the Russians\"\n },\n {\n \"question_id\": \"42238\",\n \"answer\": \"kill and wound women and childrenen\"\n },\n {\n \"question_id\": \"42239\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42240\",\n \"answer\": \"my horse and his own\"\n },\n {\n \"question_id\": \"42241\",\n \"answer\": \"a can\"\n },\n {\n \"question_id\": \"42242\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42243\",\n \"answer\": \"Petroff\"\n },\n {\n \"question_id\": \"42244\",\n \"answer\": \"at a gallop\"\n },\n {\n \"question_id\": \"42245\",\n \"answer\": \"the village had been burned\"\n },\n {\n \"question_id\": \"42246\",\n \"answer\": \"a dark vindictive frown.\"\n },\n {\n \"question_id\": \"42247\",\n \"answer\": \"the results of war\"\n },\n {\n \"question_id\": \"42248\",\n \"answer\": \"fiends and cowards\"\n },\n {\n \"question_id\": \"42249\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42250\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42251\",\n \"answer\": \"reserved strength\"\n },\n {\n \"question_id\": \"42252\",\n \"answer\": \"leave to go\"\n },\n {\n \"question_id\": \"42253\",\n \"answer\": \"ten minutes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ISO 128 is an international standard (ISO), about the general principles of presentation in technical drawings, specifically the graphical representation of objects on technical drawings. \n\nSince 2003 the ISO 128 standard contains twelve parts, which were initiated between 1996 and 2003. It starts with a summary of the general rules for the execution and structure of technical drawings. Further it describes basic conventions for s, views, cuts and sections, and different types of engineering drawings, such as those for mechanical engineering, architecture, civil engineering, and shipbuilding. It is applicable to both manual and computer-based drawings, but it is not applicable to three-dimensional CAD models. \n\nThe ISO 128 replaced the previous DIN 6 standard for drawings, projections and views, which was first published in 1922 and updated in 1950 and 1968. ISO 128 itself was first published in 1982, contained 15 pages and \"specified the general principles of presentation to be applied to technical drawings following the orthographic projection methods\". Several parts of this standard have been updated individually. The last parts and the standard as a whole were withdrawn by the ISO in 2001. \n\nA thirteenth part was added in 2013. \n\nThe 14 parts of the ISO 128 standard are: \n\n\n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57162\": \"What is an ISO?\"\n },\n {\n \"57163\": \"What is a specific example of one?\"\n },\n {\n \"57164\": \"WHat is it about in general?\"\n },\n {\n \"57165\": \"And specifically?\"\n },\n {\n \"57166\": \"How many parts does it have?\"\n },\n {\n \"57167\": \"Since when?\"\n },\n {\n \"57168\": \"Over what period were they initiated?\"\n },\n {\n \"57169\": \"How does it begin?\"\n },\n {\n \"57170\": \"ANd what concepts does it go into more detail on?\"\n },\n {\n \"57171\": \"WHat types of drawings are those used for?\"\n },\n {\n \"57172\": \"For what purposes?\"\n },\n {\n \"57173\": \"Is it only for digital drawings?\"\n },\n {\n \"57174\": \"What other type?\"\n },\n {\n \"57175\": \"What about 3D?\"\n },\n {\n \"57176\": \"Before this IOS, were there any other guidelines?\"\n },\n {\n \"57177\": \"What was it called?\"\n },\n {\n \"57178\": \"When was it first available?\"\n },\n {\n \"57179\": \"Did it remain unchanged?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57162\",\n \"answer\": \"an international standard\"\n },\n {\n \"question_id\": \"57163\",\n \"answer\": \"ISO 128\"\n },\n {\n \"question_id\": \"57164\",\n \"answer\": \"the general principles of presentation in technical drawings\"\n },\n {\n \"question_id\": \"57165\",\n \"answer\": \"the graphical representation of objects on technical drawings.\"\n },\n {\n \"question_id\": \"57166\",\n \"answer\": \"twelve parts\"\n },\n {\n \"question_id\": \"57167\",\n \"answer\": \"Since 2003\"\n },\n {\n \"question_id\": \"57168\",\n \"answer\": \"between 1996 and 2003\"\n },\n {\n \"question_id\": \"57169\",\n \"answer\": \"a summary of the general rules\"\n },\n {\n \"question_id\": \"57170\",\n \"answer\": \"describes basic conventions for s, views, cuts and sections,\"\n },\n {\n \"question_id\": \"57171\",\n \"answer\": \"engineering drawings\"\n },\n {\n \"question_id\": \"57172\",\n \"answer\": \"mechanical engineering, architecture, civil engineering, and shipbuilding\"\n },\n {\n \"question_id\": \"57173\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57174\",\n \"answer\": \"manual drawings\"\n },\n {\n \"question_id\": \"57175\",\n \"answer\": \"it is not applicable to three-dimensional\"\n },\n {\n \"question_id\": \"57176\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57177\",\n \"answer\": \"DIN 6\"\n },\n {\n \"question_id\": \"57178\",\n \"answer\": \"1922\"\n },\n {\n \"question_id\": \"57179\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IV \n\nThe sun rose red, the air was thick and hot. Anticipating that the day would be very oppressive, Vivian and Essper were on their horses' backs at an early hour. Already, however, many of the rustic revellers were about, and preparations were commencing for the fête champêtre, which this day was to close the wedding festivities. Many and sad were the looks which Essper George cast behind him at the old castle on the lake. \"No good luck can come of it!\" said he to his horse; for Vivian did not encourage conversation. \"O! master of mine, when wilt thou know the meaning of good quarters! To leave such a place, and at such a time! Why, Turriparva was nothing to it! The day before marriage and the hour before death is when a man thinks least of his purse and most of his neighbour. O! man, man, what art thou, that the eye of a girl can make thee so pass all discretion that thou wilt sacrifice for the whim of a moment good cheer enough to make thee last an age!\" \n\nVivian had intended to stop and breakfast after riding about ten miles; but he had not proceeded half that way when, from the extreme sultriness of the morning, he found it impossible to advance without refreshment. Max, also, to his rider's surprise, was much distressed; and, on turning round to his servant, Vivian found Essper's hack panting and puffing, and breaking out, as if, instead of commencing their day's work, they were near reaching their point of destination. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55464\": \"How far did Vivian want to travel before stopping to eat?\"\n },\n {\n \"55465\": \"How far did he get before stopping?\"\n },\n {\n \"55466\": \"What made it necessary to stop?\"\n },\n {\n \"55467\": \"Who else was affected by this?\"\n },\n {\n \"55468\": \"Who is he?\"\n },\n {\n \"55469\": \"Was the air thin?\"\n },\n {\n \"55470\": \"Did the riders leave late?\"\n },\n {\n \"55471\": \"Why?\"\n },\n {\n \"55472\": \"What did the servant gaze at?\"\n },\n {\n \"55473\": \"Where was it, in relation to him?\"\n },\n {\n \"55474\": \"What's his name?\"\n },\n {\n \"55475\": \"Did his employer want to talk with him?\"\n },\n {\n \"55476\": \"Who did he address instead?\"\n },\n {\n \"55477\": \"Who was around when they set out?\"\n },\n {\n \"55478\": \"What were they getting ready for?\"\n },\n {\n \"55479\": \"What celebration was that going to conclude?\"\n },\n {\n \"55480\": \"Did the servant want to leave before the party?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55464\",\n \"answer\": \"ten miles\"\n },\n {\n \"question_id\": \"55465\",\n \"answer\": \"less than half that\"\n },\n {\n \"question_id\": \"55466\",\n \"answer\": \"the morning was sultry\"\n },\n {\n \"question_id\": \"55467\",\n \"answer\": \"MAx\"\n },\n {\n \"question_id\": \"55468\",\n \"answer\": \"a horse\"\n },\n {\n \"question_id\": \"55469\",\n \"answer\": \"noi\"\n },\n {\n \"question_id\": \"55470\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55471\",\n \"answer\": \"they anticipated the day would be oppressive\"\n },\n {\n \"question_id\": \"55472\",\n \"answer\": \"the castle on the lake\"\n },\n {\n \"question_id\": \"55473\",\n \"answer\": \"behind him\"\n },\n {\n \"question_id\": \"55474\",\n \"answer\": \"Essper George\"\n },\n {\n \"question_id\": \"55475\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55476\",\n \"answer\": \"his horse\"\n },\n {\n \"question_id\": \"55477\",\n \"answer\": \"rustic revellers\"\n },\n {\n \"question_id\": \"55478\",\n \"answer\": \"f\\u00eate champ\\u00eatre\"\n },\n {\n \"question_id\": \"55479\",\n \"answer\": \"wedding festivities\"\n },\n {\n \"question_id\": \"55480\",\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 One evening,June Griffith was on her way to pick up her son.Almost immediately,she realized that she had gone the wrong way.She'd driven onto railroad tracks and the underside of her car was caught. \n\nAs Griffith tried to remove the car,its headlights attracted the attention of a passerby,Jordan Ricks,a college student.He ran over. \n\nRicks,22,tried to appear calm as he instructed Gdmth to remove the car.Both of them could now see the wheel between the rails and the uneven track bed.Ricks put his hands under the front fender and gave it a push.It didn't move. \n\nHe pushed it again with all his strength,Still,no movement. \n\nFrom about 50 feet away,a group of students from the nearby university watched the scene.Ricks signaled to them,and five of the guys came over. \n\nHe directed them to different sides of the car,and they all put their hands under the flame. \n\n\"One,two,three\" Ricks yelled.They all pushed. \n\n\"One,two,three!\" he yelled again.The car didn't move. \n\nAt that moment,they felt the ground begin to shake.Then four dings signaled an on coming train,apd the railroad gates dropped down.In the distance,an unclear line of light appeared,followed by the loud noise of a horn . \n\nThe guys started yelling,\"Get out of the car!Get out of the car!\"But Griffith felt _ . \n\nWhen Griffith glanced in the mirror,she saw the train lights approaching.But she worried that the Arthritis in her feet would prevent her from escaping in time and that her car would bedamaged.One of the students,Tommy Stackhouse,20,saw her shocked face and knew he had to act.He reached for the car door and forced it open. \n\nThe train was just a few hundred feet away.In the last few seconds,Stackhouse grasped Griffith's arm and pulled her from the car.His friend,Frank DiPietrapaul,18,grasped her other arm,and the pair pulled Griffith aside. \n\nThey watched as the train,crashed into the car,cutting it into half its original size and sending metal pieces flying.Griffith sat crying as the police arrived and sorted through the ruins--and wrote her a ticket for no attention to driving.Eventually,the students went home. \n\nA few days later,a reporter asked the young men and Griffith to reunite at a local coffee shop.There a tearful Griffith hugged her rescuers.\"These boys are heroes,\"she would later tell anyone who would listen.\"They saved my life.\" \n\nRicks feels only grateful for the outcone.\"It was one of those moments,\" he says,\"when we could have been gone together.It makes you think how precious life is.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96714\": \"What was it that made June Griffith realize something was wrong?\"\n },\n {\n \"96715\": \"Who was it that ran over to help her initially?\"\n },\n {\n \"96716\": \"How old was he?\"\n },\n {\n \"96717\": \"What was it the group of men yelled at her ones it was realized a train was getting near?\"\n },\n {\n \"96718\": \"What was it Griffith saw when she glanced in the mirror?\"\n },\n {\n \"96719\": \"How many students came and helped when Rick Signaled them?\"\n },\n {\n \"96720\": \"Who was it that reached for the door and forced it open?\"\n },\n {\n \"96721\": \"How old was he?\"\n },\n {\n \"96722\": \"What did the police write Griffith a ticket for?\"\n },\n {\n \"96723\": \"Where did a reporter ask the young men and Griffith to reunite?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96714\",\n \"answer\": \"she had gone the wrong way\"\n },\n {\n \"question_id\": \"96715\",\n \"answer\": \"Jordan Ricks\"\n },\n {\n \"question_id\": \"96716\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"96717\",\n \"answer\": \"\\\"Get out of the car!Get out of the car!\\\"\"\n },\n {\n \"question_id\": \"96718\",\n \"answer\": \"the train lights approaching\"\n },\n {\n \"question_id\": \"96719\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"96720\",\n \"answer\": \"Tommy Stackhouse\"\n },\n {\n \"question_id\": \"96721\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"96722\",\n \"answer\": \"no attention to driving.\"\n },\n {\n \"question_id\": \"96723\",\n \"answer\": \"local coffee 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 (CNN) -- A former hospital worker systematically shot and killed four people in upstate New York on Saturday, authorities in two counties said. \n\nFormer hospital worker Frank Garcia, 34, has been accused in the shooting rampage. \n\nFrank Garcia, 34, was arrested Saturday afternoon. Garcia knew all four victims, police said, but they didn't reveal details about the relationships. \n\n\"The individuals who were shot were known to the suspect. It was not necessarily a random act,\" Monroe County Sheriff Patrick O'Flynn said. \n\nThe first two victims -- Mary Sillman, 23, and Randall Norman, 41 -- were fatally shot before 5 a.m. at Lakeside Memorial Hospital in Brockport, where Garcia was once employed, O'Flynn said. Another woman was wounded and is undergoing treatment at a nearby hospital, he said. \n\nThe second shooting happened at a house in nearby Ontario County on Saturday afternoon. \n\nChristopher Glatz, 45, and his wife, Kim, 38, were killed \"execution-style\" while their two teenagers were in the suburban Rochester home, Ontario County Sheriff Philip Povero said. \n\nThe teens were not wounded, but it is unclear whether they witnessed the event. \n\nPovero said neighbors reported Garcia went door-to-door looking for the Glatzes' home. \n\n\"He was in fact looking for the residence,\" Povero said. \"He was saying different things to different people, but he was clearly looking for that home.\" \n\nBallistic evidence has connected the two crime scenes, Povero said. Investigators found the matching brass cartridges from a pistol found on Garcia when he was arrested, he said. \n\nGarcia was arrested at a restaurant Saturday afternoon, CNN affiliate R-News in Rochester reported. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2858\": \"How many people were killed at the hospital?\"\n },\n {\n \"2859\": \"Who were the victims in Brockport?\"\n },\n {\n \"2860\": \"What is the name of the shooter?\"\n },\n {\n \"2861\": \"How old is Garcia?\"\n },\n {\n \"2862\": \"Where id he used to work?\"\n },\n {\n \"2863\": \"Did he know the people he shot?\"\n },\n {\n \"2864\": \"How many shooting incidents were there?\"\n },\n {\n \"2865\": \"How many people were shot in the home in Rochester?\"\n },\n {\n \"2866\": \"How old were the children of the people in the home in Rochester?\"\n },\n {\n \"2867\": \"Were the teenagers shot?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2858\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"2859\",\n \"answer\": \"Mary Sillman, 23, and Randall Norman\"\n },\n {\n \"question_id\": \"2860\",\n \"answer\": \"Frank Garcia\"\n },\n {\n \"question_id\": \"2861\",\n \"answer\": \"34\"\n },\n {\n \"question_id\": \"2862\",\n \"answer\": \"hospital\"\n },\n {\n \"question_id\": \"2863\",\n \"answer\": \"knew all four victims\"\n },\n {\n \"question_id\": \"2864\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"2865\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2866\",\n \"answer\": \"teenagers\"\n },\n {\n \"question_id\": \"2867\",\n \"answer\": \"teens were not wounded\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Our school life is very interesting! My friends and I study hard at school. And we are good at our lessons. We are very happy. We have lots of time for our hobbies. My classmates all want to go to different clubs. Helen wants to join the Reading Club. She loves reading books. The Reading Club meets every Wednesday at three thirty. Lily enjoys dancing. She wants to join the Dancing Club. It meets on Mondays at four thirty. There's also an Art Club. It meets on Fridays at four o'clock. Nick doesn't want to join the Art Club. He doesn't like drawing. He thinks it is too difficult for him . Nick likes playing computer games. He wants to join the Computer Club. It meets every Thursday at three forty-five. Mike loves sports. He wants to join the football team. They play football every Monday at three thirty. I want to join the Music Club. I like listening to music with my friends. The Music Club meets on Tuesday at three fifteen. ,:\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82219\": \"What club does Helen like?\"\n },\n {\n \"82220\": \"How many friends does the story teller describe?\"\n },\n {\n \"82221\": \"Are you and your friends smart?\"\n },\n {\n \"82222\": \"Do they have any free time?\"\n },\n {\n \"82223\": \"What do they desire to do during their free time?\"\n },\n {\n \"82224\": \"Like what?\"\n },\n {\n \"82225\": \"Whose interest includes reading?\"\n },\n {\n \"82226\": \"How will she pursue that?\"\n },\n {\n \"82227\": \"When?\"\n },\n {\n \"82228\": \"What is another activity at the school?\"\n },\n {\n \"82229\": \"Who does that?\"\n },\n {\n \"82230\": \"How will she pursue her love of that?\"\n },\n {\n \"82231\": \"When\"\n },\n {\n \"82232\": \"Are there activities for artists?\"\n },\n {\n \"82233\": \"What is it?\"\n },\n {\n \"82234\": \"When can you attend that?\"\n },\n {\n \"82235\": \"Do you have any athletic friends?\"\n },\n {\n \"82236\": \"Who?\"\n },\n {\n \"82237\": \"What kind of athlete is he?\"\n },\n {\n \"82238\": \"How does he participate?\"\n },\n {\n \"82239\": \"When?\"\n },\n {\n \"82240\": \"What do you like to do?\"\n },\n {\n \"82241\": \"How do you enjoy it?\"\n },\n {\n \"82242\": \"When?\"\n },\n {\n \"82243\": \"Do you know anyone that doesn't like the activities offered?\"\n },\n {\n \"82244\": \"Who?\"\n },\n {\n \"82245\": \"What is that?\"\n },\n {\n \"82246\": \"Why not?\"\n },\n {\n \"82247\": \"Why not?\"\n },\n {\n \"82248\": \"Is there anything he excels in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82219\",\n \"answer\": \"Helen likes the reading club.\"\n },\n {\n \"question_id\": \"82220\",\n \"answer\": \"I have four friends.\"\n },\n {\n \"question_id\": \"82221\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"82222\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82223\",\n \"answer\": \"different things\"\n },\n {\n \"question_id\": \"82224\",\n \"answer\": \"Like reading, dancing, art, computer games, sports, and music.\"\n },\n {\n \"question_id\": \"82225\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"82226\",\n \"answer\": \"She will go to the reading club\"\n },\n {\n \"question_id\": \"82227\",\n \"answer\": \"Wednesdays at 3:30\"\n },\n {\n \"question_id\": \"82228\",\n \"answer\": \"dancing.\"\n },\n {\n \"question_id\": \"82229\",\n \"answer\": \"Lily\"\n },\n {\n \"question_id\": \"82230\",\n \"answer\": \"by going to the dance club\"\n },\n {\n \"question_id\": \"82231\",\n \"answer\": \"Mondays at four thirty\"\n },\n {\n \"question_id\": \"82232\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82233\",\n \"answer\": \"Art Club\"\n },\n {\n \"question_id\": \"82234\",\n \"answer\": \"Fridays at four\"\n },\n {\n \"question_id\": \"82235\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82236\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"82237\",\n \"answer\": \"He likes football\"\n },\n {\n \"question_id\": \"82238\",\n \"answer\": \"playing football\"\n },\n {\n \"question_id\": \"82239\",\n \"answer\": \"Mondays at 3:30\"\n },\n {\n \"question_id\": \"82240\",\n \"answer\": \"listen to music\"\n },\n {\n \"question_id\": \"82241\",\n \"answer\": \"going to the music club\"\n },\n {\n \"question_id\": \"82242\",\n \"answer\": \"on Tuesdays at 3:15\"\n },\n {\n \"question_id\": \"82243\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82244\",\n \"answer\": \"Nick\"\n },\n {\n \"question_id\": \"82245\",\n \"answer\": \"the Art Club\"\n },\n {\n \"question_id\": \"82246\",\n \"answer\": \"he doesn't like to draw\"\n },\n {\n \"question_id\": \"82247\",\n \"answer\": \"it's too hard\"\n },\n {\n \"question_id\": \"82248\",\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 CHAPTER XXIV. \n\nNext day, sure enough, the cablegram didn't come. This was an immense disaster; for Tracy couldn't go into the presence without that ticket, although it wasn't going to possess any value as evidence. But if the failure of the cablegram on that first day may be called an immense disaster, where is the dictionary that can turn out a phrase sizeable enough to describe the tenth day's failure? Of course every day that the cablegram didn't come made Tracy all of twenty-four hours' more ashamed of himself than he was the day before, and made Sally fully twenty-four hours more certain than ever that he not only hadn't any father anywhere, but hadn't even a confederate--and so it followed that he was a double-dyed humbug and couldn't be otherwise. \n\nThese were hard days for Barrow and the art firm. All these had their hands full, trying to comfort Tracy. Barrow's task was particularly hard, because he was made a confidant in full, and therefore had to humor Tracy's delusion that he had a father, and that the father was an earl, and that he was going to send a cablegram. Barrow early gave up the idea of trying to convince Tracy that he hadn't any father, because this had such a bad effect on the patient, and worked up his temper to such an alarming degree. He had tried, as an experiment, letting Tracy think he had a father; the result was so good that he went further, with proper caution, and tried letting him think his father was an earl; this wrought so well, that he grew bold, and tried letting him think he had two fathers, if he wanted to, but he didn't want to, so Barrow withdrew one of them and substituted letting him think he was going to get a cablegram--which Barrow judged he wouldn't, and was right; but Barrow worked the cablegram daily for all it was worth, and it was the one thing that kept Tracy alive; that was Barrow's opinion. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42079\": \"What has not arrived?\"\n },\n {\n \"42080\": \"Who is this bad news for?\"\n },\n {\n \"42081\": \"Was it one day late?\"\n },\n {\n \"42082\": \"Did it ever come?\"\n },\n {\n \"42083\": \"What is the cablegram?\"\n },\n {\n \"42084\": \"How does Tracy feel about himself?\"\n },\n {\n \"42085\": \"What family member is Tracy missing?\"\n },\n {\n \"42086\": \"Who is convinced of that?\"\n },\n {\n \"42087\": \"What does she call him?\"\n },\n {\n \"42088\": \"Who is trying to make him feel better?\"\n },\n {\n \"42089\": \"Does Tracy think he has a father?\"\n },\n {\n \"42090\": \"Who does he think his father is?\"\n },\n {\n \"42091\": \"What does he think his father is going to do?\"\n },\n {\n \"42092\": \"What makes Tracy mad?\"\n },\n {\n \"42093\": \"How many fathers did he try to tell him he had?\"\n },\n {\n \"42094\": \"How'd that go?\"\n },\n {\n \"42095\": \"What did he replace the second father with?\"\n },\n {\n \"42096\": \"What does Barrow think it does for Tracy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42079\",\n \"answer\": \"the cablegram\"\n },\n {\n \"question_id\": \"42080\",\n \"answer\": \"Tracy\"\n },\n {\n \"question_id\": \"42081\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42082\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42083\",\n \"answer\": \"a ticket\"\n },\n {\n \"question_id\": \"42084\",\n \"answer\": \"ashamed\"\n },\n {\n \"question_id\": \"42085\",\n \"answer\": \"a father\"\n },\n {\n \"question_id\": \"42086\",\n \"answer\": \"Sally\"\n },\n {\n \"question_id\": \"42087\",\n \"answer\": \"a double-dyed humbug\"\n },\n {\n \"question_id\": \"42088\",\n \"answer\": \"Barrow and the art firm\"\n },\n {\n \"question_id\": \"42089\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42090\",\n \"answer\": \"an earl\"\n },\n {\n \"question_id\": \"42091\",\n \"answer\": \"send a cablegram.\"\n },\n {\n \"question_id\": \"42092\",\n \"answer\": \"telling Tracy he had no father\"\n },\n {\n \"question_id\": \"42093\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"42094\",\n \"answer\": \"he didn't believe it\"\n },\n {\n \"question_id\": \"42095\",\n \"answer\": \"a cablegram\"\n },\n {\n \"question_id\": \"42096\",\n \"answer\": \"keeps him alive\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 9 \n\nTWO PLACES VACATED \n\nSet down by the omnibus at the corner of Saint Mary Axe, and trusting to her feet and her crutch-stick within its precincts, the dolls' dressmaker proceeded to the place of business of Pubsey and Co. All there was sunny and quiet externally, and shady and quiet internally. Hiding herself in the entry outside the glass door, she could see from that post of observation the old man in his spectacles sitting writing at his desk. \n\n'Boh!' cried the dressmaker, popping in her head at the glass-door. 'Mr Wolf at home?' \n\nThe old man took his glasses off, and mildly laid them down beside him. 'Ah Jenny, is it you? I thought you had given me up.' \n\n'And so I had given up the treacherous wolf of the forest,' she replied; 'but, godmother, it strikes me you have come back. I am not quite sure, because the wolf and you change forms. I want to ask you a question or two, to find out whether you are really godmother or really wolf. May I?' \n\n'Yes, Jenny, yes.' But Riah glanced towards the door, as if he thought his principal might appear there, unseasonably. \n\n'If you're afraid of the fox,' said Miss Jenny, 'you may dismiss all present expectations of seeing that animal. HE won't show himself abroad, for many a day.' \n\n'What do you mean, my child?' \n\n'I mean, godmother,' replied Miss Wren, sitting down beside the Jew, 'that the fox has caught a famous flogging, and that if his skin and bones are not tingling, aching, and smarting at this present instant, no fox did ever tingle, ache, and smart.' Therewith Miss Jenny related what had come to pass in the Albany, omitting the few grains of pepper. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46623\": \"Who took their glasses off?\"\n },\n {\n \"46624\": \"who was sitting beside a jew?\"\n },\n {\n \"46625\": \"What corner were they at?\"\n },\n {\n \"46626\": \"Who's dressmaker was it?\"\n },\n {\n \"46627\": \"Who was the old man speaking with?\"\n },\n {\n \"46628\": \"What was the old man's name?\"\n },\n {\n \"46629\": \"where was the dressmaker headed?\"\n },\n {\n \"46630\": \"Who's place of business?\"\n },\n {\n \"46631\": \"Who was hiding in the door?\"\n },\n {\n \"46632\": \"Who wanted to ask a question ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"46623\",\n \"answer\": \"The old man\"\n },\n {\n \"question_id\": \"46624\",\n \"answer\": \"Miss Wren,\"\n },\n {\n \"question_id\": \"46625\",\n \"answer\": \"Saint Mary Axe\"\n },\n {\n \"question_id\": \"46626\",\n \"answer\": \"the dolls\"\n },\n {\n \"question_id\": \"46627\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"46628\",\n \"answer\": \"'Mr Wolf\"\n },\n {\n \"question_id\": \"46629\",\n \"answer\": \"to the place of business\"\n },\n {\n \"question_id\": \"46630\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"46631\",\n \"answer\": \"His principal?\"\n },\n {\n \"question_id\": \"46632\",\n \"answer\": \"Jenny\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Johnny and his class were looking forward to a fun day in art class. The teacher gave the class paint, brushes and other items to use to make their drawings. Johnny's friend Kevin used a straw to blow paint on his paper. It looked very cool. Lisa used markers to make a picture of her and her dog. Lisa has several pets, but her favorite one is her dog, Ben. Tony used a potato to make stars. He then put the potato into different colors of paint and made a nice pattern. Johnny used feathers to make his picture. When they had finished, the class chose which picture was the best. Johnny got second place and was very excited. Then it was time for lunch and the class had a party. They had hamburgers with ketchup and had cake for dessert. It was a very fun day for the whole class. They all went home tired and happy. Johnny took a nap when he went home.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39357\": \"Which pet is Lisa's favorite?\"\n },\n {\n \"39358\": \"What place did Johnny get?\"\n },\n {\n \"39359\": \"What did Kevin use?\"\n },\n {\n \"39360\": \"What did Tony make?\"\n },\n {\n \"39361\": \"Who decided to try feathers?\"\n },\n {\n \"39362\": \"What happened at lunchtime?\"\n },\n {\n \"39363\": \"Did they eat pizza?\"\n },\n {\n \"39364\": \"What was eaten?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39357\",\n \"answer\": \"dog\"\n },\n {\n \"question_id\": \"39358\",\n \"answer\": \"second place\"\n },\n {\n \"question_id\": \"39359\",\n \"answer\": \"a straw\"\n },\n {\n \"question_id\": \"39360\",\n \"answer\": \"stars\"\n },\n {\n \"question_id\": \"39361\",\n \"answer\": \"Johnny\"\n },\n {\n \"question_id\": \"39362\",\n \"answer\": \"class had a party\"\n },\n {\n \"question_id\": \"39363\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39364\",\n \"answer\": \"hamburgers with ketchup and cake\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 came from a set down against Maria Sharapova to win the Miami Masters for a record sixth time on Saturday. \n\nAfter a slow start, the world No.1 sprang into life in stunning fashion, winning the last 10 games of the match to eventually prevail 4-6 6-3 6-0. \n\nWilliams' win -- the 48th of her career -- means she surpasses the previous all-time title mark that she jointly held with Germany's Steffi Graf. \n\n\"Maria definitely pushed me -- she did a really great job today,\" Williams said, WTATennis.com reported. \n\n\"I look forward to our next matches -- it's going to be really fun for the fans and for us and for everyone.\" \n\nThe match was turned on its head in the sixth game of the second set with Sharapova serving at 3-2. Williams won the game to love before streaking away with the set and the match. \n\nWilliams joins Martina Navratilova, Steffi Graf and Chris Evert as only the fourth player ever to win any WTA event six times. \n\nDefeat for Sharapova means she has now finished runner-up for three successive years in Miami and five times in all. \n\n\"It's disappointing to end it like this but Serena played a great match, and I'm sure we'll play a few more times this year,\" Sharapova said, WTATennis.com reported. \n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13539\": \"What website reported things in this article?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13539\",\n \"answer\": \"WTATennis.com\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Register in person, by phone 264-8833, or by mail. Use form given. \n\n178 IN Winchester St, Chicago \n\nBasic Photography \n\nThis is an eight-hour course for beginners who want to learn how to use a 35mm camera. The teacher will cover such areas as kinds of film, light, and lenses . Bring your own 35mm camera to class. Course charge: $50. Jan.10,12,17,19, Tues. & Thurs. 6:00~8:00 p.m. Marianne Adams is a professional photographer whose photographs appear in many magazines. \n\nUnderstanding Computers \n\nThis twelve-hour course is for people who don't know very much about computers, but need to learn about them. You will learn what computers are, what they can and can't do, and how to use them. Course charge:$75. Equipment charge:$10. Jan.14,21,28, Sat. 6:00~10:00 p.m. Joseph Saimders is Professor of Computer Science at New Urban University. He has over twelve years of experience in the computer field. \n\nTyping \n\nThis course on week-days is for typing. You are tested in the first class and practice at one of eight different skill levels. This allows you to learn at your own speed. Each program lasts 20 hours. Bring your own paper. Course charge:$125. Materials charge:$25. Two hours each evening for two weeks. New classes begin every two weeks. This course is taught by a number of business education teachers who have effectively taught typing courses before. \n\nOil Painting \n\nOil paint is easy to use once you learn the basics. When you enroll in this oil painting course, you will learn to draw and paint using many oil painting techniques under complete guidance and instruction. Together--with the teacher's knowledge and your passion--we'll unlock your creativity and develop your potential! Course charge: $35. Jan. 5,12,19,26, Thurs. 2:00---5:00pm. Ralf Ericssion has taught beginners to masters and he has learned that everything builds on just a few basic concepts that he will show you here.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17461\": \"How much does the computer course cost?\"\n },\n {\n \"17462\": \"How many skill levels of typing?\"\n },\n {\n \"17463\": \"When does oil painting get easy?\"\n },\n {\n \"17464\": \"What times are the photography class\"\n },\n {\n \"17465\": \"Is the computer course 12 hours long?\"\n },\n {\n \"17466\": \"Who teaches the oil painting class?\"\n },\n {\n \"17467\": \"When do the new typing courses start?\"\n },\n {\n \"17468\": \"What is the equpment charge for computer class\"\n },\n {\n \"17469\": \"What areas do the photography class cover\"\n },\n {\n \"17470\": \"what type of teachers are teaching the typing course?\"\n },\n {\n \"17471\": \"what do you have to bring to the typing course?\"\n },\n {\n \"17472\": \"where does the computer professor teach?\"\n },\n {\n \"17473\": \"What days of the week are the typing courses?\"\n },\n {\n \"17474\": \"Where did Mraianne have her photographs appear?\"\n },\n {\n \"17475\": \"how long is the photography course?\"\n },\n {\n \"17476\": \"What does the class cover?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"17461\",\n \"answer\": \"$50\"\n },\n {\n \"question_id\": \"17462\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"17463\",\n \"answer\": \"once you learn the basics\"\n },\n {\n \"question_id\": \"17464\",\n \"answer\": \"Tues. & Thurs. 6:00~8:00 p.m.\"\n },\n {\n \"question_id\": \"17465\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17466\",\n \"answer\": \"Ralf Ericssion\"\n },\n {\n \"question_id\": \"17467\",\n \"answer\": \"every two weeks\"\n },\n {\n \"question_id\": \"17468\",\n \"answer\": \"$10\"\n },\n {\n \"question_id\": \"17469\",\n \"answer\": \"film, light, and lenses\"\n },\n {\n \"question_id\": \"17470\",\n \"answer\": \"business education\"\n },\n {\n \"question_id\": \"17471\",\n \"answer\": \"paper\"\n },\n {\n \"question_id\": \"17472\",\n \"answer\": \"Computer Science\"\n },\n {\n \"question_id\": \"17473\",\n \"answer\": \"each evening\"\n },\n {\n \"question_id\": \"17474\",\n \"answer\": \"magazines\"\n },\n {\n \"question_id\": \"17475\",\n \"answer\": \"eight hours\"\n },\n {\n \"question_id\": \"17476\",\n \"answer\": \"film, light, and lenses\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When talking with young Swedish students, Mo Yan showed respect for Chinese authors that he learned writing from, particularly Shen Congwen, who was twice nominated for the Nobel Prize. \n\n\"Lu Xun, Lao She, Mao Dun and Shen Congwen, they are more qualified for the Nobel Prize than me,\" he said,. Among the writers he learned from, he said he especially felt close to Shen Congwen, as they have similar life experiences. \n\nBoth of them left school early and did not get formal education. Shen quit after high school and Mo only finished the fifth grade. They both joined the army after school. \" We both learned from the book of life,\" said Mo. \n\nThe themes of their writing are also similar. Both writers have their hometown as the theme and root of their writings. Shen'works are mostly about his hometown, Xiangxi, and most of Mo's stories are set in his hometown, Gaomi, in Shandong Province. \n\nMo said he also learned from Shen how to deal with characters in a fiction. Unlike most Chinese writers, Shen has a humanistic touch towards all of his characters. Said Mo, \"In his works, there are no particularly bad person or good person. Even gangsters and thieves have their humane side,\" he said. \n\n\"I try to use the same approach in my writing. It shows the ability of a novelist when he treats all the characters as humans,\" he said. \n\nMo said he also learned Lu Xun's depth and Lao She's humor. \"They are all my teachers, and I am the student,\" he said. \"I feel ashamed from my heart that teachers did not get the prize, but the student got it.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13285\": \"Who received 2 nominations for the Nobel Prize?\"\n },\n {\n \"13286\": \"Who praised Shen?\"\n },\n {\n \"13287\": \"Why did Mo feel close to Shen?\"\n },\n {\n \"13288\": \"Who else did Mo commend?\"\n },\n {\n \"13289\": \"And?\"\n },\n {\n \"13290\": \"Did Mo finish school?\"\n },\n {\n \"13291\": \"How much school did he complete?\"\n },\n {\n \"13292\": \"What about Shen?\"\n },\n {\n \"13293\": \"What did they do after quitting school?\"\n },\n {\n \"13294\": \"What did Mo call this experience?\"\n },\n {\n \"13295\": \"Are the themes of their writing similar?\"\n },\n {\n \"13296\": \"What is the basis of their writings?\"\n },\n {\n \"13297\": \"What is Mo's hometown?\"\n },\n {\n \"13298\": \"And Shen's?\"\n },\n {\n \"13299\": \"What did Mo say he learned from Shen?\"\n },\n {\n \"13300\": \"What is unusual for Shen in his writings?\"\n },\n {\n \"13301\": \"Does Mo try to replicate this in his writing?\"\n },\n {\n \"13302\": \"Why?\"\n },\n {\n \"13303\": \"What quality did Mo learn from Lu?\"\n },\n {\n \"13304\": \"And Lao?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13285\",\n \"answer\": \"Shen Congwen\"\n },\n {\n \"question_id\": \"13286\",\n \"answer\": \"Mo Yan\"\n },\n {\n \"question_id\": \"13287\",\n \"answer\": \"they have similar life experiences\"\n },\n {\n \"question_id\": \"13288\",\n \"answer\": \"Lu Xun\"\n },\n {\n \"question_id\": \"13289\",\n \"answer\": \"Mao Dun\"\n },\n {\n \"question_id\": \"13290\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13291\",\n \"answer\": \"fifth grade\"\n },\n {\n \"question_id\": \"13292\",\n \"answer\": \"high school\"\n },\n {\n \"question_id\": \"13293\",\n \"answer\": \"joined the army\"\n },\n {\n \"question_id\": \"13294\",\n \"answer\": \"learning from the book of life\"\n },\n {\n \"question_id\": \"13295\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13296\",\n \"answer\": \"their hometown\"\n },\n {\n \"question_id\": \"13297\",\n \"answer\": \"Gaomi\"\n },\n {\n \"question_id\": \"13298\",\n \"answer\": \"Xiangxi\"\n },\n {\n \"question_id\": \"13299\",\n \"answer\": \"how to deal with characters in a fiction\"\n },\n {\n \"question_id\": \"13300\",\n \"answer\": \"he has a humanistic touch towards all of his characters\"\n },\n {\n \"question_id\": \"13301\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13302\",\n \"answer\": \"it shows the ability of a novelist\"\n },\n {\n \"question_id\": \"13303\",\n \"answer\": \"depth\"\n },\n {\n \"question_id\": \"13304\",\n \"answer\": \"humor\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Is there intelligent life on other planets? For years, scientists said \"no\" or \"We don't know.\" But today this is changing. Seth Shostak and Alexandra Barnett are astronomers. They believe intelligent life exists somewhere in the universe. They also think we will soon contact these beings. Why do Shostak and Barnett think intelligent life exists on other planets? The first reason is time. Scientists believe the universe is about 12 billion years old. \"This is long enough for other planets to have intelligent life,\" say Shostak and Barnet. The second reason is size--the universe is huge. \"Tools like the Hubble telescope have shown that there are at least 100 billion galaxies,\" says Shostak. \"And our galaxy, the Milk Way, has at least 100 billion stars. Some planets going around these stars might be similar to Earth.\" In the past, it was hard to look for signs of intelligent life in the universe. But now, powerful telescopes allow scientists to discover smaller planets--the size of Mars or Earth in other solar systems. These planets might have intelligent life. Have beings from space already visited Earth? \"Probably not,\" says Shostak. \"It's a long way away. However, intelligent beings may contact us in other way, such as radio signs. In fact, they may be trying to communicate with us now, but we don't have the right tools to receive their messages. However, this is changing. By 2025, we could make contact with other life forms in our universe and we might help each other.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58924\": \"What scientific field do Seth Shostak and Alexandra Barnett work in?\"\n },\n {\n \"58925\": \"What do they believe about intelligent life existing on other planets?\"\n },\n {\n \"58926\": \"What galaxy do we live in?\"\n },\n {\n \"58927\": \"How many stars does it have?\"\n },\n {\n \"58928\": \"What type of tool allows us to see other planets?\"\n },\n {\n \"58929\": \"What famous one is mentioned?\"\n },\n {\n \"58930\": \"Does Shostak believe beings from space have already visited Earth?\"\n },\n {\n \"58931\": \"Did Barnett express an opinion on that topic?\"\n },\n {\n \"58932\": \"What is one way that we may be contacted?\"\n },\n {\n \"58933\": \"Does Shostak believe beings from space will visit Earth soon?\"\n },\n {\n \"58934\": \"Does Shostak believe beings from space could make contact with Earth soon?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58924\",\n \"answer\": \"they are astronomers\"\n },\n {\n \"question_id\": \"58925\",\n \"answer\": \"They believe intelligent life exists somewhere in the universe\"\n },\n {\n \"question_id\": \"58926\",\n \"answer\": \"the Milk Way\"\n },\n {\n \"question_id\": \"58927\",\n \"answer\": \"100 billion stars\"\n },\n {\n \"question_id\": \"58928\",\n \"answer\": \"powerful telescopes\"\n },\n {\n \"question_id\": \"58929\",\n \"answer\": \"the Hubble telescope\"\n },\n {\n \"question_id\": \"58930\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58931\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58932\",\n \"answer\": \"radio signs\"\n },\n {\n \"question_id\": \"58933\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58934\",\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 \n\nA LESSON IN PICQUET \n\nLord Dreever, meanwhile, having left the waterside, lighted a cigarette, and proceeded to make a reflective tour of the grounds. He felt aggrieved with the world. Molly's desertion in the canoe with Jimmy did not trouble him: he had other sorrows. One is never at one's best and sunniest when one has been forced by a ruthless uncle into abandoning the girl one loves and becoming engaged to another, to whom one is indifferent. Something of a jaundiced tinge stains one's outlook on life in such circumstances. Moreover, Lord Dreever was not by nature an introspective young man, but, examining his position as he walked along, he found himself wondering whether it was not a little unheroic. He came to the conclusion that perhaps it was. Of course, Uncle Thomas could make it deucedly unpleasant for him if he kicked. That was the trouble. If only he had even--say, a couple of thousands a year of his own--he might make a fight for it. But, dash it, Uncle Tom could cut off supplies to such a frightful extent, if there was trouble, that he would have to go on living at Dreever indefinitely, without so much as a fearful quid to call his own. \n\nImagination boggled at the prospect. In the summer and autumn, when there was shooting, his lordship was not indisposed to a stay at the home of his fathers. But all the year round! Better a broken heart inside the radius than a sound one in the country in the winter. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93421\": \"Who left waterside\"\n },\n {\n \"93422\": \"does he smoke?\"\n },\n {\n \"93423\": \"where did he go?\"\n },\n {\n \"93424\": \"was he old?\"\n },\n {\n \"93425\": \"who could take away supplies?\"\n },\n {\n \"93426\": \"Why?\"\n },\n {\n \"93427\": \"was Uncle Tom liked?\"\n },\n {\n \"93428\": \"where did he live if trouble happened?\"\n },\n {\n \"93429\": \"did he call it his home?\"\n },\n {\n \"93430\": \"when was there a shooting\"\n },\n {\n \"93431\": \"where did he stay after\"\n },\n {\n \"93432\": \"was there another season of shooting?\"\n },\n {\n \"93433\": \"when?\"\n },\n {\n \"93434\": \"who left on a canoe?\"\n },\n {\n \"93435\": \"who did she leave with?\"\n },\n {\n \"93436\": \"was this troublesome?\"\n },\n {\n \"93437\": \"was someone engaged?\"\n },\n {\n \"93438\": \"was The lord a hero?\"\n },\n {\n \"93439\": \"where was the stain?\"\n },\n {\n \"93440\": \"who was abandoned?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93421\",\n \"answer\": \"Lord Dreever\"\n },\n {\n \"question_id\": \"93422\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"93423\",\n \"answer\": \"On a tour.\"\n },\n {\n \"question_id\": \"93424\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"93425\",\n \"answer\": \"Uncle Tom\"\n },\n {\n \"question_id\": \"93426\",\n \"answer\": \"if there was trouble\"\n },\n {\n \"question_id\": \"93427\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"93428\",\n \"answer\": \"Dreever\"\n },\n {\n \"question_id\": \"93429\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"93430\",\n \"answer\": \"autumn\"\n },\n {\n \"question_id\": \"93431\",\n \"answer\": \"home of his fathers\"\n },\n {\n \"question_id\": \"93432\",\n \"answer\": \"YEs.\"\n },\n {\n \"question_id\": \"93433\",\n \"answer\": \"winter\"\n },\n {\n \"question_id\": \"93434\",\n \"answer\": \"Molly\"\n },\n {\n \"question_id\": \"93435\",\n \"answer\": \"Jimmy\"\n },\n {\n \"question_id\": \"93436\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"93437\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"93438\",\n \"answer\": \"He did not think so.\"\n },\n {\n \"question_id\": \"93439\",\n \"answer\": \"one's outlook on life\"\n },\n {\n \"question_id\": \"93440\",\n \"answer\": \"the girl one loves\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (EW) -- After four years off of the silver screen, James Bond made his triumphant return this weekend in \"Skyfall\" — and the British spy's appeal was bigger than ever. \n\nThe action thriller grossed a truly massive $87.8 million in its first three days (and an additional $2.2 million during Thursday night previews), making its debut the very best in the Bond series' 23-film history — by a huge margin. \n\n\"Skyfall\" shattered the previous opening weekend record for a Bond film, which was set in 2008 when \"Quantum of Solace\" bowed with $67.5 million. With the lucrative Thanksgiving holiday on the horizon and a straight \"A\" CinemaScore grade, it's likely that \"Skyfall\" will also become the first Bond movie to ever pass the $200 million mark at the domestic box office. (Of course, this is not accounting for inflation.) \n\nEW critics disagree on 'Skyfall' \n\n\"Skyfall's\" debut marks the seventh-best November opening weekend of all time — behind two \"Twilight\" films and four \"Harry Potter\" titles — and the film, which Sony and MGM spent about $200 million to make, garnered an impressive $25,050 per theater average from 3,505 theaters. \"Skyfall's\" per-theater average was even more impressive in IMAX locations, where the film found $13.1 million (15 percent of its weekend gross) from 320 screens, good for a $40,938 average. \n\nDaniel Craig, the sixth man to play Bond, has seen his popularity as the character surge since taking over the iconic role in 2006. His first Bond film, \"Casino Royale,\" debuted with $40.8 million on the way to a $167.4 million finish. Two years later, \"Quantum of Solace\" opened 65 percent higher with $67.5 million on the way to $168.5 million total. (Reception for the film was tepid, which is why its endurance at the box office was so much weaker than \"Casino Royale's.\") And now \"Skyfall\" has improved upon \"Quantum's\" opening weekend by 30 percent. At this rate, Craig's next turn as Bond (due in 2014) could garner well over $100 million in its debut frame. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12458\": \"What is in theaters?\"\n },\n {\n \"12459\": \"Who is the main character?\"\n },\n {\n \"12460\": \"Who plays him?\"\n },\n {\n \"12461\": \"How many actors have?\"\n },\n {\n \"12462\": \"Is he liked as the actor for it?\"\n },\n {\n \"12463\": \"Which was his first film as the role?\"\n },\n {\n \"12464\": \"When was that?\"\n },\n {\n \"12465\": \"How much did that make?\"\n },\n {\n \"12466\": \"How long after was the next one?\"\n },\n {\n \"12467\": \"What was it called?\"\n },\n {\n \"12468\": \"And what did that make?\"\n },\n {\n \"12469\": \"Was that one received unanimously well?\"\n },\n {\n \"12470\": \"What month did the new one open?\"\n },\n {\n \"12471\": \"What ranking is it for that month?\"\n },\n {\n \"12472\": \"Behind what?\"\n },\n {\n \"12473\": \"How much was spent on it?\"\n },\n {\n \"12474\": \"By who?\"\n },\n {\n \"12475\": \"Does it score better in regular theaters?\"\n },\n {\n \"12476\": \"Then where?\"\n },\n {\n \"12477\": \"What score has it been given by someone?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12458\",\n \"answer\": \"Skyfall\"\n },\n {\n \"question_id\": \"12459\",\n \"answer\": \"James Bond\"\n },\n {\n \"question_id\": \"12460\",\n \"answer\": \"Daniel Craig\"\n },\n {\n \"question_id\": \"12461\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"12462\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12463\",\n \"answer\": \"Casino Royale\"\n },\n {\n \"question_id\": \"12464\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"12465\",\n \"answer\": \"167.4 million\"\n },\n {\n \"question_id\": \"12466\",\n \"answer\": \"Two years\"\n },\n {\n \"question_id\": \"12467\",\n \"answer\": \"Quantum of Solace\"\n },\n {\n \"question_id\": \"12468\",\n \"answer\": \"$168.5 million\"\n },\n {\n \"question_id\": \"12469\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12470\",\n \"answer\": \"November\"\n },\n {\n \"question_id\": \"12471\",\n \"answer\": \"Seventh\"\n },\n {\n \"question_id\": \"12472\",\n \"answer\": \"two \\\"Twilight\\\" and four \\\"Harry Potter\\\" films\"\n },\n {\n \"question_id\": \"12473\",\n \"answer\": \"$200 million\"\n },\n {\n \"question_id\": \"12474\",\n \"answer\": \"Sony and MGM\"\n },\n {\n \"question_id\": \"12475\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12476\",\n \"answer\": \"IMAX locations\"\n },\n {\n \"question_id\": \"12477\",\n \"answer\": \"CinemaScore\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVI \n\nFor Helen Rayner that brief, dark period of expulsion from her home had become a thing of the past, almost forgotten. \n\nTwo months had flown by on the wings of love and work and the joy of finding her place there in the West. All her old men had been only too glad of the opportunity to come back to her, and under Dale and Roy Beeman a different and prosperous order marked the life of the ranch. \n\nHelen had made changes in the house by altering the arrangement of rooms and adding a new section. Only once had she ventured into the old dining-room where Las Vegas Carmichael had sat down to that fatal dinner for Beasley. She made a store-room of it, and a place she would never again enter. \n\nHelen was happy, almost too happy, she thought, and therefore made more than needful of the several bitter drops in her sweet cup of life. Carmichael had ridden out of Pine, ostensibly on the trail of the Mexicans who had executed Beasley's commands. The last seen of him had been reported from Show Down, where he had appeared red-eyed and dangerous, like a hound on a scent. Then two months had flown by without a word. \n\nDale had shaken his head doubtfully when interrogated about the cowboy's absence. It would be just like Las Vegas never to be heard of again. Also it would be more like him to remain away until all trace of his drunken, savage spell had departed from him and had been forgotten by his friends. Bo took his disappearance apparently less to heart than Helen. But Bo grew more restless, wilder, and more wilful than ever. Helen thought she guessed Bo's secret; and once she ventured a hint concerning Carmichael's return. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60122\": \"Who made changes in the home?\"\n },\n {\n \"60123\": \"What became of the dining room?\"\n },\n {\n \"60124\": \"Who had she remembered having dinner there?\"\n },\n {\n \"60125\": \"Was Carmichael still there?\"\n },\n {\n \"60126\": \"Why had he left?\"\n },\n {\n \"60127\": \"Where was he last seen?\"\n },\n {\n \"60128\": \"Had he looked healthy then?\"\n },\n {\n \"60129\": \"How long ago was this?\"\n },\n {\n \"60130\": \"Had Helen heard about him since?\"\n },\n {\n \"60131\": \"Had Dale heard anything about him?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60122\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"60123\",\n \"answer\": \"She made a store-room of it\"\n },\n {\n \"question_id\": \"60124\",\n \"answer\": \"Las Vegas Carmichael and Beasley\"\n },\n {\n \"question_id\": \"60125\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60126\",\n \"answer\": \"he was on the trail of the people who had executed Beasley's commands\"\n },\n {\n \"question_id\": \"60127\",\n \"answer\": \"Show Down\"\n },\n {\n \"question_id\": \"60128\",\n \"answer\": \"he had appeared red-eyed and dangerous,\"\n },\n {\n \"question_id\": \"60129\",\n \"answer\": \"two months\"\n },\n {\n \"question_id\": \"60130\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60131\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nMiss Amanda Hill, teacher in the Middleville High School, sat wearily at her desk. She was tired, as tired as she had ever been on any day of the fifteen long years in which she had wrestled with the problems of school life. Her hair was iron gray and she bent a worn, sad, severe face over a mass of notes before her. \n\nAt that moment she was laboring under a perplexing question that was not by any means a new one. Only this time it had presented itself in a less insidious manner than usual, leaving no loophole for charitable imagination. Presently she looked up and rapped on her desk. \n\n\"These young ladies will remain after school is dismissed,\" she said, in her authoritative voice: \"Bessy Bell--Rose Clymer--Gail Matthews--Helen Tremaine--Ruth Winthrop.... Also any other girls who are honest enough to admit knowledge of the notes found in Rose Clymer's desk.\" \n\nThe hush that fell over the schoolroom was broken by the gong in the main hall, sounding throughout the building. Then followed the noise of shutting books and closing desks, and the bustle and shuffling of anticipated dismissal. \n\nIn a front seat sat a girl who did not arise with the others, and as one by one several girls passed her desk with hurried step and embarrassed snicker she looked at them with purple, blazing eyes. \n\nMiss Hill attended to her usual task with the papers of the day's lessons and the marking of the morrow's work before she glanced up at the five girls she had detained. They sat in widely separated sections of the room. Rose Clymer, pretty, fragile, curly-haired, occupied the front seat of the end row. Her face had no color and her small mouth was set in painful lines. Four seats across from her Bessy Bell leaned on her desk, with defiant calmness, and traces of scorn still in her expressive eyes. Gail Matthews looked frightened and Helen Tremaine was crying. Ruth Winthrop bent forward with her face buried in her arms. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99808\": \"Who was crying?\"\n },\n {\n \"99809\": \"Where does this story take place?\"\n },\n {\n \"99810\": \"What employee there is mentioned by name?\"\n },\n {\n \"99811\": \"What's her job?\"\n },\n {\n \"99812\": \"How long has she been employed?\"\n },\n {\n \"99813\": \"She was a blonde?\"\n },\n {\n \"99814\": \"What then?\"\n },\n {\n \"99815\": \"Was she wide awake?\"\n },\n {\n \"99816\": \"How did she feel?\"\n },\n {\n \"99817\": \"Did someone get detention?\"\n },\n {\n \"99818\": \"Who?\"\n },\n {\n \"99819\": \"Why?\"\n },\n {\n \"99820\": \"What sounds could be heard after the detention was announced?\"\n },\n {\n \"99821\": \"Was it otherwise quiet?\"\n },\n {\n \"99822\": \"Was someone scared?\"\n },\n {\n \"99823\": \"Who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99808\",\n \"answer\": \"Helen Tremaine\"\n },\n {\n \"question_id\": \"99809\",\n \"answer\": \"Middleville High School\"\n },\n {\n \"question_id\": \"99810\",\n \"answer\": \"Miss Amanda Hill\"\n },\n {\n \"question_id\": \"99811\",\n \"answer\": \"teacher\"\n },\n {\n \"question_id\": \"99812\",\n \"answer\": \"fifteen years\"\n },\n {\n \"question_id\": \"99813\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99814\",\n \"answer\": \"it was iron gray\"\n },\n {\n \"question_id\": \"99815\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99816\",\n \"answer\": \"She was tired\"\n },\n {\n \"question_id\": \"99817\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99818\",\n \"answer\": \"Bessy Bell--Rose Clymer--Gail Matthews--Helen Tremaine--Ruth Winthrop\"\n },\n {\n \"question_id\": \"99819\",\n \"answer\": \"because of the notes found in Rose Clymer's desk\"\n },\n {\n \"question_id\": \"99820\",\n \"answer\": \"he gong in the main hall\"\n },\n {\n \"question_id\": \"99821\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99822\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99823\",\n \"answer\": \"Gail Matthews\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Musa Kayairanga of Rwanda is a traditional healer. He uses natural medicines to treat his patients. He learned how to use computers at a rural telecommunications center in his country. Musa Kayairanga says he exchanges information with doctors as far away as Canada. He also says the computer has improved his knowledge of using plants to treat diseases. Many people in rural areas are now able to communicate with the rest of the world. This is one example of how technology is changing life in developing countries. \n\nAndrew Burns is an economist at the World Bank in Washington, D.C. He led a recent study of technology in developing countries. The study found that technology has spread faster in such countries than in rich nations. It also found that technological progress has helped raise wages in developing countries. And it reduced the percentage of people living in extreme poverty from twenty-nine percent in 1990 to eighteen percent in 2004. \n\nProgress in communications technology has aided the growth of call centers in developing countries. Call centers are offices where most telephone calls for a business can be answered. For example, a woman in the United States who calls her computer company about a problem might speak with someone in India or Pakistan. \n\nCall centers serve businesses in local and international markets. And they have added to economic growth by providing well-paid jobs and new skills for workers who might not have had such employment. Ahsan Saeed is a young call center worker in Karachi, Pakistan. He says the job improves his language skills, his sales skills and his ability to deal with people.( from VOA Special English )\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45620\": \"Who works at the World Bank?\"\n },\n {\n \"45621\": \"What is his position?\"\n },\n {\n \"45622\": \"Where is it located?\"\n },\n {\n \"45623\": \"What did his research conclude?\"\n },\n {\n \"45624\": \"Anything else?\"\n },\n {\n \"45625\": \"What?\"\n },\n {\n \"45626\": \"That all?\"\n },\n {\n \"45627\": \"Please tell me then\"\n },\n {\n \"45628\": \"By how much?\"\n },\n {\n \"45629\": \"Who is the first person mentioned?\"\n },\n {\n \"45630\": \"Where is he from?\"\n },\n {\n \"45631\": \"What does he do?\"\n },\n {\n \"45632\": \"What treatments does he employ?\"\n },\n {\n \"45633\": \"Like what?\"\n },\n {\n \"45634\": \"What tools does he have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45620\",\n \"answer\": \"Andrew Burns\"\n },\n {\n \"question_id\": \"45621\",\n \"answer\": \"He is an economist\"\n },\n {\n \"question_id\": \"45622\",\n \"answer\": \"Washington, D.C\"\n },\n {\n \"question_id\": \"45623\",\n \"answer\": \"That technology has spread faster in developing countries than in rich nations.\"\n },\n {\n \"question_id\": \"45624\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45625\",\n \"answer\": \"That technological progress has helped raise wages in developing countries\"\n },\n {\n \"question_id\": \"45626\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45627\",\n \"answer\": \"Technologyt reduced the percentage of people living in extreme poverty\"\n },\n {\n \"question_id\": \"45628\",\n \"answer\": \"From twenty-nine percent in 1990 to eighteen percent in 2004\"\n },\n {\n \"question_id\": \"45629\",\n \"answer\": \"Musa Kayairanga\"\n },\n {\n \"question_id\": \"45630\",\n \"answer\": \"Rwanda\"\n },\n {\n \"question_id\": \"45631\",\n \"answer\": \"He is a traditional healer.\"\n },\n {\n \"question_id\": \"45632\",\n \"answer\": \"Natural medicines\"\n },\n {\n \"question_id\": \"45633\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45634\",\n \"answer\": \"The computer\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- The City Council of Fullerton, California, approved Tuesday evening the hiring of an independent consultant to reform the city's police force and review last month's arrest and subsequent death of a homeless schizophrenic man, a spokeswoman said. \n\nBefore a gallery of residents angry about the death, the council voted 5-0 to award a one-year $50,000 contract to Michael J. Gennaco, a consultant whose rate is $260 an hour, to examine the police department's policies and practices, city spokeswoman Sylvia Palmer Mudrick said. \n\nThe council then approved 4-1 a second contract, also for up to a year, paying Gennaco $30,000 to prepare a public report looking at the July 5 incident involving police and the death of Kelly Thomas, Mudrick said. \n\nGennaco told the council he will begin investigating the death after the Orange County District Attorney's office completes its own inquiry into the incident, Mudrick said. Gennaco is currently chief attorney for a civilian oversight committee created by the Los Angeles County supervisors to monitor the sheriff's department. \n\nThomas, 37, died five days after what the Orange County district attorney has called \"a violent and desperate struggle\" last month with Fullerton police. \n\nMeanwhile, a Los Angeles attorney said he is planning to file a police brutality lawsuit in federal court this week against Fullerton officers in a new unrelated case. But one of the officers in that case was also involved in the Thomas arrest, said the attorney, Garo Mardirossian. \n\nMardirossian is also representing Thomas' father, Ron, who is alleging that his son was a victim of police brutality and has notified Fullerton city officials that he plans to pursue legal action against them. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85226\": \"Who choose to emply a consultant?\"\n },\n {\n \"85227\": \"What kind of council?\"\n },\n {\n \"85228\": \"Why did they chose to employ the person?\"\n },\n {\n \"85229\": \"Who died?\"\n },\n {\n \"85230\": \"What was the person examining?\"\n },\n {\n \"85231\": \"How long where they going to work?\"\n },\n {\n \"85232\": \"For how much?\"\n },\n {\n \"85233\": \"Why is there a second agreement?\"\n },\n {\n \"85234\": \"About what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85226\",\n \"answer\": \"council\"\n },\n {\n \"question_id\": \"85227\",\n \"answer\": \"The City Council\"\n },\n {\n \"question_id\": \"85228\",\n \"answer\": \"gallery of residents angry about the death\"\n },\n {\n \"question_id\": \"85229\",\n \"answer\": \"homeless schizophrenic man\"\n },\n {\n \"question_id\": \"85230\",\n \"answer\": \"police department's policies and practice\"\n },\n {\n \"question_id\": \"85231\",\n \"answer\": \"up to a year\"\n },\n {\n \"question_id\": \"85232\",\n \"answer\": \"$50,000\"\n },\n {\n \"question_id\": \"85233\",\n \"answer\": \"to prepare a public report\"\n },\n {\n \"question_id\": \"85234\",\n \"answer\": \"death of Kelly Thomas\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Library of Congress Control Number (LCCN) is a serially based system of numbering cataloging records in the Library of Congress in the United States. It has nothing to do with the contents of any book, and should not be confused with Library of Congress Classification. \n\nThe LCCN numbering system has been in use since 1898, at which time the acronym LCCN originally stood for Library of Congress Card Number. It has also been called the Library of Congress Catalog Card Number, among other names. The Library of Congress prepared cards of bibliographic information for their library catalog and would sell duplicate sets of the cards to other libraries for use in their catalogs. This is known as centralized cataloging. Each set of cards was given a serial number to help identify it. \n\nAlthough most of the bibliographic information is now electronically created, stored, and shared with other libraries, there is still a need to identify each unique record, and the LCCN continues to perform that function. \n\nLibrarians all over the world use this unique identifier in the process of cataloging most books which have been published in the United States. It helps them reach the correct cataloging data (known as a cataloging record), which the Library of Congress and third parties make available on the Web and through other media.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49054\": \"What is the The Library of Congress Control Number?\"\n },\n {\n \"49055\": \"Where is it used?\"\n },\n {\n \"49056\": \"What is a purpose that it serves?\"\n },\n {\n \"49057\": \"Another?\"\n },\n {\n \"49058\": \"Did electronic cataloging make it obsolete?\"\n },\n {\n \"49059\": \"Does anyone outside of the library see this information?\"\n },\n {\n \"49060\": \"What other names does it have?\"\n },\n {\n \"49061\": \"Any other?\"\n },\n {\n \"49062\": \"Why was the term card used?\"\n },\n {\n \"49063\": \"Did they share the cards with other libraries without cost?\"\n },\n {\n \"49064\": \"When did it start being used?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49054\",\n \"answer\": \"Serially based system of numbering cataloging records\"\n },\n {\n \"question_id\": \"49055\",\n \"answer\": \"The Library of Congress in the United States\"\n },\n {\n \"question_id\": \"49056\",\n \"answer\": \"Identify unique records\"\n },\n {\n \"question_id\": \"49057\",\n \"answer\": \"Reach correct cataloging data\"\n },\n {\n \"question_id\": \"49058\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49059\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49060\",\n \"answer\": \"Library of Congress Card Number\"\n },\n {\n \"question_id\": \"49061\",\n \"answer\": \"Library of Congress Catalog Card Number\"\n },\n {\n \"question_id\": \"49062\",\n \"answer\": \"They put the information on cards\"\n },\n {\n \"question_id\": \"49063\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49064\",\n \"answer\": \"1898\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Njideka Akunyili started college planning to be a doctor, but left as an artist and is now billed as one of New York's most promising new talents. \n\nThe 29-year-old Nigerian-born artist has just completed a year-long residence with the prestigious Studio Harlem in New York. \n\nAll five of her works sold in the first half hour of this year's Art Basel, the world's top fair for modern and contemporary art and African style magazine Arise described her as \"fast becoming the art world's newest star.\" \n\nAkunyili was born and brought up in the small town of New Haven in Enugu, Nigeria, and moved to the United States for college at the age of 16. \n\nHer work, a combination of drawing, painting, printmaking and collage, combines Nigerian and American culture. \n\n\"Nigeria is almost a third character in my work,\" she said. \"A lot of my work is about investigating my love for Nigeria and my life in America. \n\n\"I met my husband at college and there was some anxiety that if I married outside my culture I would lose my identity, but there is a space in my work where these things come together.\" \n\nAkunyili is hoping to help change attitudes to art in Nigeria, where she said appreciation is growing slowly. \n\n\"If I hadn't left Nigeria, I wouldn't be an artist, I would be a doctor,\" she said. \"When I told my parents I wanted to be an artist, they couldn't get their heads around why an educated person who went to college in America would want to be an artist. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23334\": \"Does Akunyili love Nigeria?\"\n },\n {\n \"23335\": \"What character is it in her work?\"\n },\n {\n \"23336\": \"How old was she when she moved to the United States?\"\n },\n {\n \"23337\": \"What prompted her to come to the States?\"\n },\n {\n \"23338\": \"Was she born and brought up in a huge city?\"\n },\n {\n \"23339\": \"What was the name of the small town she grew up in?\"\n },\n {\n \"23340\": \"What province is that in?\"\n },\n {\n \"23341\": \"What country?\"\n },\n {\n \"23342\": \"Does her work combine Japanese and South American culture?\"\n },\n {\n \"23343\": \"What about painting?\"\n },\n {\n \"23344\": \"What did she plan on becoming when she went to college?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23334\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"23335\",\n \"answer\": \"Almost a third character\"\n },\n {\n \"question_id\": \"23336\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"23337\",\n \"answer\": \"For college\"\n },\n {\n \"question_id\": \"23338\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23339\",\n \"answer\": \"New Haven\"\n },\n {\n \"question_id\": \"23340\",\n \"answer\": \"Enugu\"\n },\n {\n \"question_id\": \"23341\",\n \"answer\": \"Nigeria\"\n },\n {\n \"question_id\": \"23342\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23343\",\n \"answer\": \"It combines Nigerian and American culture\"\n },\n {\n \"question_id\": \"23344\",\n \"answer\": \"An artist\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Eric \"The Actor\" Lynch, who became a celebrity among celebrities by calling in to Howard Stern's radio show, died Saturday, his manager said. \n\nLynch, 39, stood just 3 feet tall, but his reach was long thanks to the entertaining chemistry he developed with Stern over a decade of phone calls. \n\n\"Despite our sometimes testy on-air relationship the entire staff absolutely loved Eric the Actor,\" a message on Stern's website said Monday. Â \"When he visited the show in person everyone lined up to take pictures with him. Â And not just us -- celebrities all over the world loved Eric.\" \n\nHis manager, Johnny Fratto, confirmed Lynch's death in a Twitter posting Sunday: \"I am so sorry and so sad to inform everyone that my friend Eric \"The Actor\" Lynch passed away yesterday afternoon!!!\" \n\nLate-night host Jimmy Kimmel, who had Lynch on his show in 2008, tweeted that he was \"my all-time favorite Howard Stern caller and I will miss him terribly.\" \n\nComedian Wanda Sykes was also a Lynch fan. She tweeted: \"Sad to hear about the passing of #EricTheActor. He was one of my favorite callers. #ByeForNow\" \n\nBravo TV host Andy Cohen initially tweeted that he was praying that word of Lynch's death was not true, but then: \"seems like it's true ... So RIP Eric the Actor. One of the great Stern callers ever. He was incredibly entertaining for many years. :-(\" \n\nComedian Artie Lange, who is well-known for his work on Stern's radio show, tweeted that Lynch \"truly didn't care what u thought of him. Which in some ways made him happier than us all.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13126\": \"How old was Eric Lynch when he died?\"\n },\n {\n \"13127\": \"Name three entertainers mentioned in the story\"\n },\n {\n \"13128\": \"Was Lynch tall by most standards?\"\n },\n {\n \"13129\": \"Who is Johnny Fratto?\"\n },\n {\n \"13130\": \"How did he confirm Lynch's death?\"\n },\n {\n \"13131\": \"Was Lynch's relationship always sunny with Howard Stern?\"\n },\n {\n \"13132\": \"What was Lynch's nickname?\"\n },\n {\n \"13133\": \"On which day of the week did he die?\"\n },\n {\n \"13134\": \"What network was Andy Cohen on?\"\n },\n {\n \"13135\": \"In which year did Jimmy Kimmel have Lynch on?\"\n },\n {\n \"13136\": \"When Lynch visited the Stern show in person what did people line up for?\"\n },\n {\n \"13137\": \"Did Lynch care what you thought of him?\"\n },\n {\n \"13138\": \"Was he sadder than the rest of us because of that?\"\n },\n {\n \"13139\": \"What did he do for the Howard Stern show?\"\n },\n {\n \"13140\": \"Which female comedian was a fan of his?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13126\",\n \"answer\": \"39\"\n },\n {\n \"question_id\": \"13127\",\n \"answer\": \"Artie Lange, Howard Stern, Jimmy Kimmel\"\n },\n {\n \"question_id\": \"13128\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13129\",\n \"answer\": \"His manager\"\n },\n {\n \"question_id\": \"13130\",\n \"answer\": \"in a Twitter posting\"\n },\n {\n \"question_id\": \"13131\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13132\",\n \"answer\": \"The Actor\"\n },\n {\n \"question_id\": \"13133\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"13134\",\n \"answer\": \"Bravo\"\n },\n {\n \"question_id\": \"13135\",\n \"answer\": \"2008\"\n },\n {\n \"question_id\": \"13136\",\n \"answer\": \"to take pictures with him\"\n },\n {\n \"question_id\": \"13137\",\n \"answer\": \"truly didn't care what u thought of him\"\n },\n {\n \"question_id\": \"13138\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13139\",\n \"answer\": \"calling in\"\n },\n {\n \"question_id\": \"13140\",\n \"answer\": \"Wanda Sykes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- On February 26, 2012, George Zimmerman, a Hispanic Neighborhood Watch volunteer at the Retreat at Twin Lakes housing complex in Sanford, Florida, shot and killed Trayvon Martin, an unarmed African-American 17-year-old. \n\nInitially, Zimmerman was not arrested, and no charges were brought against him. Rallies, protests and a media firestorm followed, even eliciting a comment from President Obama that \"If I had a son, he'd look like Trayvon.\" \n\nThe Rev. Al Sharpton came to Sanford and admonished residents that they were \"risking going down as the Birmingham and Selma of the 21st century\" if nothing was done. \n\nBenjamin Crump, one of the attorneys representing Martin's parents and an instrumental advocate for bringing charges against Zimmerman after they were initially declined, maintains that the case is about civil rights. \n\nWhether the killing turns out to have been racially motivated, responded to in self-defense, the act of a resident concerned about the safety of his neighborhood or the act of a trigger-happy cop wannabe, race is an inescapable issue. \n\nIn 2012: Did politics drive prosecution in Trayvon Martin case? \n\nSanford is the county seat of Seminole County, Florida. Although it experienced explosive growth during the economic boom and has several large, modern upscale subdivisions, it remains relatively poor. \n\nWith approximately 54,000 residents, it has a per capita income of only about $21,000, with about 18.5% of the city below the poverty line, according to the 2010 census. It is approximately 30% African-American and 20% Hispanic. It has a documented history of racial tensions between its police and its black residents. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94746\": \"Where is Sanford?\"\n },\n {\n \"94747\": \"Which county is it the seat of?\"\n },\n {\n \"94748\": \"Is this a rich or poor area?\"\n },\n {\n \"94749\": \"What is the statistic on income?\"\n },\n {\n \"94750\": \"How much of the population lives in poverty?\"\n },\n {\n \"94751\": \"Does Zimmerman live there?\"\n },\n {\n \"94752\": \"Where?\"\n },\n {\n \"94753\": \"Who did he shoot?\"\n },\n {\n \"94754\": \"How did that turn out for Martin?\"\n },\n {\n \"94755\": \"How old was he?\"\n },\n {\n \"94756\": \"Do his parents have a lawyer?\"\n },\n {\n \"94757\": \"Who?\"\n },\n {\n \"94758\": \"What is he trying to convince police to do?\"\n },\n {\n \"94759\": \"What does he say this case is about?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"94746\",\n \"answer\": \"Florida\"\n },\n {\n \"question_id\": \"94747\",\n \"answer\": \"Seminole County\"\n },\n {\n \"question_id\": \"94748\",\n \"answer\": \"poor\"\n },\n {\n \"question_id\": \"94749\",\n \"answer\": \"a per capita of about $21,000\"\n },\n {\n \"question_id\": \"94750\",\n \"answer\": \"18.5%\"\n },\n {\n \"question_id\": \"94751\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94752\",\n \"answer\": \"Twin Lakes housing complex\"\n },\n {\n \"question_id\": \"94753\",\n \"answer\": \"Trayvon Martin\"\n },\n {\n \"question_id\": \"94754\",\n \"answer\": \"killed\"\n },\n {\n \"question_id\": \"94755\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"94756\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94757\",\n \"answer\": \"Benjamin Crump\"\n },\n {\n \"question_id\": \"94758\",\n \"answer\": \"bringing charges against Zimmerman\"\n },\n {\n \"question_id\": \"94759\",\n \"answer\": \"civil rights\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 THREE. \n\nObedient to orders, Tom Brixton lay perfectly still on his back, just where he had fallen, wondering much whether the cord was really cut, for he did not feel much relaxation of it or abatement of the pain. He resolved, at any rate, to give no further cause for rough treatment, but to await the issue of events as patiently as he could. \n\nTrue to his promise, the Irishman after supper sang several songs, which, if not characterised by sweetness of tone, were delivered with a degree of vigour that seemed to make full amends in the estimation of his hearers. After that he told a thrilling ghost story, which drew the entire band of men round him. Paddy had a natural gift in the way of relating ghost stories, for, besides the power of rapid and sustained discourse, without hesitation or redundancy of words, he possessed a vivid imagination, a rich fancy, a deep bass voice, an expressive countenance, and a pair of large coal-black eyes, which, as one of the Yankee diggers said, \"would sartinly bore two holes in a blanket if he only looked at it long enough.\" \n\nWe do not intend to inflict that ghost story on the reader. It is sufficient to say that Paddy began it by exclaiming in a loud voice--\"`Now or niver, boys--now or niver.' That's what the ghost said.\" \n\n\"What's that you say, Paddy?\" asked Gashford, leaving his own separate and private fire, which he enjoyed with one or two chosen comrades, and approaching that round which the great body of the diggers were already assembled. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80862\": \"What chapter is this?\"\n },\n {\n \"80863\": \"Who obeyed commands?\"\n },\n {\n \"80864\": \"Was he standing?\"\n },\n {\n \"80865\": \"Why?\"\n },\n {\n \"80866\": \"What wasn't he feeling?\"\n },\n {\n \"80867\": \"Who kept his word?\"\n },\n {\n \"80868\": \"What was one thing he did after dinner?\"\n },\n {\n \"80869\": \"Did he have a sweet voice?\"\n },\n {\n \"80870\": \"What did he do to draw a crowd of men?\"\n },\n {\n \"80871\": \"What color were his eyes?\"\n },\n {\n \"80872\": \"What did a Yankee say they can do to a quilt?\"\n },\n {\n \"80873\": \"What did Gashford have apart from the others?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"80862\",\n \"answer\": \"CHAPTER THREE\"\n },\n {\n \"question_id\": \"80863\",\n \"answer\": \"Tom Brixton\"\n },\n {\n \"question_id\": \"80864\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"80865\",\n \"answer\": \"he had fallen\"\n },\n {\n \"question_id\": \"80866\",\n \"answer\": \"much relaxation of it or abatement of the pain\"\n },\n {\n \"question_id\": \"80867\",\n \"answer\": \"Paddy\"\n },\n {\n \"question_id\": \"80868\",\n \"answer\": \"sang several songs\"\n },\n {\n \"question_id\": \"80869\",\n \"answer\": \"if not characterised by sweetness of tone, were delivered with a degree of vigour\"\n },\n {\n \"question_id\": \"80870\",\n \"answer\": \"he told a thrilling ghost story\"\n },\n {\n \"question_id\": \"80871\",\n \"answer\": \"coal-black\"\n },\n {\n \"question_id\": \"80872\",\n \"answer\": \"bore two holes\"\n },\n {\n \"question_id\": \"80873\",\n \"answer\": \"a separate and private fire\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- Miss USA Rima Fakih is a Muslim with Lebanese heritage, but her family is \"not defined by religion,\" Fakih said. \n\n\"I'm an American girl,\" Fakih said. \"And just to be clear, my family comes from many different backgrounds and religions.\" \n\nThe newest Miss USA, crowned last weekend, was interviewed Wednesday for HLN's \"The Joy Behar Show.\" \n\nFakih downplayed the significance of photographs that emerged online this week showing her dancing against a stripper's pole. \n\n\"Everyone took them as if I was stripping, which to be honest with you was just a competition,\" she said. \"It was more of an event held by a radio station.\" \n\nTHIS JUST IN: Is Miss USA a Muslim trailblazer? \n\nThe Detroit, Michigan, radio station promotion held three years ago was like a class to help women \"learn how to dance and feel sexy,\" she told Behar. \n\nThe photos show her dancing in short pants. \n\n\"To be extra funny, because I'm known to be silly, I put money in my bra,\" she said. \n\nThe controversy, however, has made her name a top search term on the internet, she said. \n\n\"Yeah, I'm the number one person on Yahoo or Google, I heard,\" she said. \n\nCheesecake photos helped last year's Miss USA runner-up, Carrie Prejean, become well known, but she was eventually stripped of her Miss California crown when racier images emerged. \n\nBehar asked Fakih if there were any such photos of her that might eventually surface. \n\n\"Nothing at all,\" she said. \"I've always been known to be very respectful to my family and my reputation.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2804\": \"Who is the newest Miss USA?\"\n },\n {\n \"2805\": \"Is Rima religious?\"\n },\n {\n \"2806\": \"What's her ethnic background?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2804\",\n \"answer\": \"Miss USA Rima Fakih\"\n },\n {\n \"question_id\": \"2805\",\n \"answer\": \"but her family is \\\"not defined by religion,\"\n },\n {\n \"question_id\": \"2806\",\n \"answer\": \"Lebanese heritage,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 _Ghost_ has attained the southernmost point of the arc she is describing across the Pacific, and is already beginning to edge away to the west and north toward some lone island, it is rumoured, where she will fill her water-casks before proceeding to the season’s hunt along the coast of Japan. The hunters have experimented and practised with their rifles and shotguns till they are satisfied, and the boat-pullers and steerers have made their spritsails, bound the oars and rowlocks in leather and sennit so that they will make no noise when creeping on the seals, and put their boats in apple-pie order—to use Leach’s homely phrase. \n\nHis arm, by the way, has healed nicely, though the scar will remain all his life. Thomas Mugridge lives in mortal fear of him, and is afraid to venture on deck after dark. There are two or three standing quarrels in the forecastle. Louis tells me that the gossip of the sailors finds its way aft, and that two of the telltales have been badly beaten by their mates. He shakes his head dubiously over the outlook for the man Johnson, who is boat-puller in the same boat with him. Johnson has been guilty of speaking his mind too freely, and has collided two or three times with Wolf Larsen over the pronunciation of his name. Johansen he thrashed on the amidships deck the other night, since which time the mate has called him by his proper name. But of course it is out of the question that Johnson should thrash Wolf Larsen. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76603\": \"Who was beaten?\"\n },\n {\n \"76604\": \"Which one is a boat-puller?\"\n },\n {\n \"76605\": \"What has he been doing that has caused problems with his mates?\"\n },\n {\n \"76606\": \"Who has he tussled with multiple times?\"\n },\n {\n \"76607\": \"How many times?\"\n },\n {\n \"76608\": \"What were they fighting over?\"\n },\n {\n \"76609\": \"On what vehicle does this story take place?\"\n },\n {\n \"76610\": \"Is it crossing an ocean?\"\n },\n {\n \"76611\": \"Which one?\"\n },\n {\n \"76612\": \"Word has it, they're going where?\"\n },\n {\n \"76613\": \"To fill what?\"\n },\n {\n \"76614\": \"Before heading to what event?\"\n },\n {\n \"76615\": \"Where will that be?\"\n },\n {\n \"76616\": \"Is someone's arm better after an injury?\"\n },\n {\n \"76617\": \"What will have forever from it?\"\n },\n {\n \"76618\": \"Who is far to scared to be on deck at night?\"\n },\n {\n \"76619\": \"Who knows the gossip and relays it?\"\n },\n {\n \"76620\": \"What did the hunters spend time perfecting their use of?\"\n },\n {\n \"76621\": \"Are they happy with their skills?\"\n },\n {\n \"76622\": \"What's bound in leather?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"76603\",\n \"answer\": \"Two of the telltales\"\n },\n {\n \"question_id\": \"76604\",\n \"answer\": \"Johnson\"\n },\n {\n \"question_id\": \"76605\",\n \"answer\": \"Speaking his mind too freely\"\n },\n {\n \"question_id\": \"76606\",\n \"answer\": \"Wolf Larsen\"\n },\n {\n \"question_id\": \"76607\",\n \"answer\": \"Two or three times\"\n },\n {\n \"question_id\": \"76608\",\n \"answer\": \"The pronunciation of his name.\"\n },\n {\n \"question_id\": \"76609\",\n \"answer\": \"The _Ghost_\"\n },\n {\n \"question_id\": \"76610\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76611\",\n \"answer\": \"The Pacific\"\n },\n {\n \"question_id\": \"76612\",\n \"answer\": \"Toward some lone island\"\n },\n {\n \"question_id\": \"76613\",\n \"answer\": \"Her water-casks\"\n },\n {\n \"question_id\": \"76614\",\n \"answer\": \"The season\\u2019s hunt\"\n },\n {\n \"question_id\": \"76615\",\n \"answer\": \"Along the coast of Japan\"\n },\n {\n \"question_id\": \"76616\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76617\",\n \"answer\": \"The scar\"\n },\n {\n \"question_id\": \"76618\",\n \"answer\": \"Thomas Mugridge\"\n },\n {\n \"question_id\": \"76619\",\n \"answer\": \"Louis\"\n },\n {\n \"question_id\": \"76620\",\n \"answer\": \"Their rifles and shotguns\"\n },\n {\n \"question_id\": \"76621\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"76622\",\n \"answer\": \"The oars and rowlocks\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Plutarch (; , \"Ploútarkhos\", ; c. AD 46 – AD 120), later named, upon becoming a Roman citizen, Lucius Mestrius Plutarchus, () was a Greek biographer and essayist, known primarily for his \"Parallel Lives\" and \"Moralia\". He is classified as a Middle Platonist. Plutarch's surviving works were written in Greek, but intended for both Greek and Roman readers. \n\nPlutarch was born to a prominent family in the small town of Chaeronea, about 80 km (50 miles) east of Delphi, in the Greek region of Boeotia. His family was wealthy. The name of Plutarch's father has not been preserved, but based on the common Greek custom of repeating a name in alternate generations, it was probably Nikarchus (). The name of Plutarch's grandfather was Lamprias, as he attested in \"Moralia\" and in his \"Life of Antony\". \n\nHis brothers, Timon and Lamprias, are frequently mentioned in his essays and dialogues, which speak of Timon in particular in the most affectionate terms. Rualdus, in his 1624 work \"Life of Plutarchus\", recovered the name of Plutarch's wife, Timoxena, from internal evidence afforded by his writings. A letter is still extant, addressed by Plutarch to his wife, bidding her not to grieve too much at the death of their two-year-old daughter, who was named Timoxena after her mother. Interestingly, he hinted at a belief in reincarnation in that letter of consolation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37558\": \"where was Plutarch born?\"\n },\n {\n \"37559\": \"how far from Delphi is that?\"\n },\n {\n \"37560\": \"how many kilometers is that?\"\n },\n {\n \"37561\": \"what year was he born?\"\n },\n {\n \"37562\": \"was he from a wealthy family?\"\n },\n {\n \"37563\": \"how many brothers did he have?\"\n },\n {\n \"37564\": \"were they named Timone and Pumba?\"\n },\n {\n \"37565\": \"what did Plutarch do for a living?\"\n },\n {\n \"37566\": \"who discovered his wife's name?\"\n },\n {\n \"37567\": \"what was her name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37558\",\n \"answer\": \"Chaeronea\"\n },\n {\n \"question_id\": \"37559\",\n \"answer\": \"50 miles\"\n },\n {\n \"question_id\": \"37560\",\n \"answer\": \"80km\"\n },\n {\n \"question_id\": \"37561\",\n \"answer\": \"AD46\"\n },\n {\n \"question_id\": \"37562\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37563\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"37564\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37565\",\n \"answer\": \"Greek biographer and essayist\"\n },\n {\n \"question_id\": \"37566\",\n \"answer\": \"Rualdus\"\n },\n {\n \"question_id\": \"37567\",\n \"answer\": \"Timoxena\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV \n\nTHE MAN AT POINT VIEW LODGE \n\nAt first it was an even race. Reff Ritter knew how to handle an iceboat to perfection and brought his craft up in the breeze in a manner that won considerable admiration. \n\n\"Take care that he doesn't beat you, Fred,\" said Pepper. \"If he does, he will never get done crowing over you.\" \n\n\"This race isn't over yet,\" answered the owner of the _Skimmer_. \"Wait till we round the bend yonder.\" \n\nWhen the bend mentioned was gained the _Rosebud_ was a good three lengths in the lead. \n\n\"Good-by!\" shouted Coulter. \"Here is where we leave you behind!\" \n\n\"Your iceboat isn't in it with this,\" added Mumps. \n\n\"We'll tell them you are coming by-and-by!\" came from Ritter. \n\n\"Don't answer them,\" whispered Jack. \"Fred, can we do anything to help the boat along?\" \n\n\"Just shift a little more to the left--that's it,\" was the reply. \"Now we'll soon get the breeze and then we'll do better.\" \n\nFred's words proved true. As the _Skimmer_ rounded the bend, a good, stiff blast struck her sails and away she started after the _Rosebud_. \n\n\"Now we are going some!\" cried Andy, his face brightening. \n\n\"Make her hum!\" cried Pepper. \n\nSlowly but surely the _Skimmer_ crept up on the _Rosebud_, until the bow of the second craft overlapped the stern of the first. \n\n\"Not walking away so fast now, are you?\" questioned Pepper, cheerily. \n\n\"Just wait, we'll beat you, see if we don't!\" growled Coulter. \n\n\"Swing the mainsail over!\" cried Ritter. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65992\": \"What ship does Fred own?\"\n },\n {\n \"65993\": \"Who's he chasing?\"\n },\n {\n \"65994\": \"What's the name of Fred's ship?\"\n },\n {\n \"65995\": \"What's the name of Coulter's?\"\n },\n {\n \"65996\": \"Who doesn't want Fred to get beat?\"\n },\n {\n \"65997\": \"Will the other team lord it over him if he does?\"\n },\n {\n \"65998\": \"Which boat is Mumps on?\"\n },\n {\n \"65999\": \"What about Ritter?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65992\",\n \"answer\": \"an iceboat\"\n },\n {\n \"question_id\": \"65993\",\n \"answer\": \"Reff Ritter\"\n },\n {\n \"question_id\": \"65994\",\n \"answer\": \"the _Skimmer_\"\n },\n {\n \"question_id\": \"65995\",\n \"answer\": \"the _Rosebud_\"\n },\n {\n \"question_id\": \"65996\",\n \"answer\": \"Pepper\"\n },\n {\n \"question_id\": \"65997\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65998\",\n \"answer\": \"_Rosebud_\"\n },\n {\n \"question_id\": \"65999\",\n \"answer\": \"_Rosebud_\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. THE LOSS OF UMSLOPOGAAS \n\nNow, after the smelling out of the witch-doctors, Chaka caused a watch to be kept upon his mother Unandi, and his wife Baleka, my sister, and report was brought to him by those who watched, that the two women came to my huts by stealth, and there kissed and nursed a boy--one of my children. Then Chaka remembered the prophecy of Nobela, the dead Isanusi, and his heart grew dark with doubt. But to me he said nothing of the matter, for then, as always, his eyes looked over my head. He did not fear me or believe that I plotted against him, I who was his dog. Still, he did this, though whether by chance or design I do not know: he bade me go on a journey to a distant tribe that lived near the borders of the Amaswazi, there to take count of certain of the king's cattle which were in the charge of that tribe, and to bring him account of the tale of their increase. So I bowed before the king, and said that I would run like a dog to do his bidding, and he gave me men to go with me. \n\nThen I returned to my huts to bid farewell to my wives and children, and there I found that my wife, Anadi, the mother of Moosa, my son, had fallen sick with a wandering sickness, for strange things came into her mind, and what came into her mind that she said, being, as I did not doubt, bewitched by some enemy of my house. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8822\": \"what prophecy did Chaka remember?\"\n },\n {\n \"8823\": \"was Nobela dead or alive?\"\n },\n {\n \"8824\": \"who was Chaka's mother?\"\n },\n {\n \"8825\": \"was there a plot against Chaka?\"\n },\n {\n \"8826\": \"what is the name of Chaka's wife?\"\n },\n {\n \"8827\": \"how many women went to a hut by stealth?\"\n },\n {\n \"8828\": \"did someone bow before the king?\"\n },\n {\n \"8829\": \"how far away was the tribe that the king wanted the messenger to go to?\"\n },\n {\n \"8830\": \"what was it near the border of?\"\n },\n {\n \"8831\": \"what was that tribe in charge of?\"\n },\n {\n \"8832\": \"what did the messenger run like?\"\n },\n {\n \"8833\": \"where did he return to before going?\"\n },\n {\n \"8834\": \"what was his son's name?\"\n },\n {\n \"8835\": \"what sickness did they have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"8822\",\n \"answer\": \"the prophecy of Nobela\"\n },\n {\n \"question_id\": \"8823\",\n \"answer\": \"dead\"\n },\n {\n \"question_id\": \"8824\",\n \"answer\": \"Unandi\"\n },\n {\n \"question_id\": \"8825\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8826\",\n \"answer\": \"Baleka\"\n },\n {\n \"question_id\": \"8827\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"8828\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8829\",\n \"answer\": \"distant\"\n },\n {\n \"question_id\": \"8830\",\n \"answer\": \"the Amaswazi\"\n },\n {\n \"question_id\": \"8831\",\n \"answer\": \"the king's cattle\"\n },\n {\n \"question_id\": \"8832\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"8833\",\n \"answer\": \"his huts\"\n },\n {\n \"question_id\": \"8834\",\n \"answer\": \"Moosa\"\n },\n {\n \"question_id\": \"8835\",\n \"answer\": \"wandering sickness\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Allie was trying to choose which costume she would wear for Halloween. She did not want to dress up as a scary monster. She could go as an angel all in white or as a rabbit with a basket of eggs. She thought that wings would be too hard to make. Allie went to ask her mom if she had any eggs to go in her basket. Her mom said that the eggs might break and told her to use carrots instead. Allie looked in the refrigerator but there were no carrots. She took some spinach instead. Allie got an old pillow case out of the hall closet. She would use it to carry the candy she would get. Allie's little sister, Grace, was going as a princess dressed in pink. She had a shiny, silver purse on her arm. Allie took Grace by the hand and led her down the sidewalk. The first door they knocked on was answered by a woman dressed as witch with a tall, black hat on her head. The witch gave both of the girls some candied apples.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83222\": \"What was Allie trying to decide\"\n },\n {\n \"83223\": \"who gave the girls candied apples\"\n },\n {\n \"83224\": \"Who went trick or treating with Allie\"\n },\n {\n \"83225\": \"Is Grace Allie's sister?\"\n },\n {\n \"83226\": \"What did Allie decide to dress as\"\n },\n {\n \"83227\": \"Allie used a what to collect her candy\"\n },\n {\n \"83228\": \"What color did Grace wear\"\n },\n {\n \"83229\": \"Why couldnt Allie use carrots\"\n },\n {\n \"83230\": \"What did she bring instead\"\n },\n {\n \"83231\": \"Did Allie watch after Grace while they were trick or treating\"\n },\n {\n \"83232\": \"What was Grace carrying\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"83222\",\n \"answer\": \"which costume she would wear\"\n },\n {\n \"question_id\": \"83223\",\n \"answer\": \"the witch\"\n },\n {\n \"question_id\": \"83224\",\n \"answer\": \"Grace\"\n },\n {\n \"question_id\": \"83225\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83226\",\n \"answer\": \"a rabbit\"\n },\n {\n \"question_id\": \"83227\",\n \"answer\": \"a pillow case\"\n },\n {\n \"question_id\": \"83228\",\n \"answer\": \"pink\"\n },\n {\n \"question_id\": \"83229\",\n \"answer\": \"there weren't any\"\n },\n {\n \"question_id\": \"83230\",\n \"answer\": \"spinach\"\n },\n {\n \"question_id\": \"83231\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83232\",\n \"answer\": \"a purse\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nAT AUCTION \n\nJimmy went back to the ranch beside the Fraser once, but Jordan went without him several times, for Forster apparently found his company congenial. It happened that he contrived to see a good deal of Eleanor Wheelock during his visits, but neither of them mentioned this to Jimmy, who, indeed, would probably have concerned himself little about it had he heard of it, since he had other things to think about just then. Merril had sent his father a formal notice that unless the money due should be paid by a certain time, the schooner would be sold as stipulated in the bond, and, though Tom Wheelock had expected nothing else, he apparently collapsed altogether under the final blow. \n\nJordan, who had just come back from Forster's ranch, arrived on board the _Tyee_ while the doctor was talking to Jimmy, and, strolling forward, he sat down on the windlass and commenced a conversation with Prescott, with whom he had promptly made friends. In the meanwhile, Jimmy looked at the doctor a trifle wearily as he leaned on the rail. \n\n\"Perhaps my mind's not as clear as usual to-day, but these scientific terms don't convey very much to me,\" he said. \n\n\"In plain English, then,\" said the doctor, \"it is general break-down your father is suffering from, though it is intensified by a partial loss of control over the muscles on one side of him. The latter trouble is, perhaps, the result of what one might call constitutional causes, but, as you seem to fancy, worry and nervous strain, or a shock of any kind, may have accelerated it or brought about the climax.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35310\": \"Where had Jordan just come back from?\"\n },\n {\n \"35311\": \"What was Eleanor's last name?\"\n },\n {\n \"35312\": \"Who was the doctor talking about when he said he'd use plain English?\"\n },\n {\n \"35313\": \"What did he say the father was suffering from?\"\n },\n {\n \"35314\": \"What had Merril sent the father?\"\n },\n {\n \"35315\": \"Did it say the house would be sold if the money wasn't paid?\"\n },\n {\n \"35316\": \"What might get sold?\"\n },\n {\n \"35317\": \"Who collapsed when hearing this?\"\n },\n {\n \"35318\": \"What did Jordan arrive on?\"\n },\n {\n \"35319\": \"Who was the doctor talking to then?\"\n },\n {\n \"35320\": \"What's the title of the chapter?\"\n },\n {\n \"35321\": \"Did Jordan ever go to the ranch without Jimmy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35310\",\n \"answer\": \"Forster's ranch\"\n },\n {\n \"question_id\": \"35311\",\n \"answer\": \"Wheelock\"\n },\n {\n \"question_id\": \"35312\",\n \"answer\": \"the father\"\n },\n {\n \"question_id\": \"35313\",\n \"answer\": \"general break-down\"\n },\n {\n \"question_id\": \"35314\",\n \"answer\": \"a formal notice\"\n },\n {\n \"question_id\": \"35315\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35316\",\n \"answer\": \"the schooner\"\n },\n {\n \"question_id\": \"35317\",\n \"answer\": \"Tom Wheelock\"\n },\n {\n \"question_id\": \"35318\",\n \"answer\": \"on board the _Tyee_\"\n },\n {\n \"question_id\": \"35319\",\n \"answer\": \"Jimmy\"\n },\n {\n \"question_id\": \"35320\",\n \"answer\": \"AT AUCTION\"\n },\n {\n \"question_id\": \"35321\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In chemistry, the standard state of a material (pure substance, mixture or solution) is a reference point used to calculate its properties under different conditions. In principle, the choice of standard state is arbitrary, although the International Union of Pure and Applied Chemistry (IUPAC) recommends a conventional set of standard states for general use. IUPAC recommends using a standard pressure \"p\" = 10 Pa. Strictly speaking, temperature is not part of the definition of a standard state. For example, as discussed below, the standard state of a gas is conventionally chosen to be unit pressure (usually in bar) ideal gas, regardless of the temperature. However, most tables of thermodynamic quantities are compiled at specific temperatures, most commonly or, somewhat less commonly, . \n\nThe standard state should not be confused with standard temperature and pressure (STP) for gases, nor with the standard solutions used in analytical chemistry. \n\nFor a given material or substance, the standard state is the reference state for the material's thermodynamic state properties such as enthalpy, entropy, Gibbs free energy, and for many other material standards. The standard enthalpy change of formation for an element in its standard state is zero, and this convention allows a wide range of other thermodynamic quantities to be calculated and tabulated. The standard state of a substance does not have to exist in nature: for example, it is possible to calculate values for steam at 298.15 K and 10 Pa, although steam does not exist (as a gas) under these conditions. The advantage of this practice is that tables of thermodynamic properties prepared in this way are self-consistent.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7397\": \"what is the standard state of a material?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7397\",\n \"answer\": \"a reference point used to calculate its properties under different conditions\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 One day in 1924, five men who were camping in the Cascade Mountains saw a group of huge apelike creatures coming out of the woods. They hurried back to their wooden house and locked themselves inside. While they were in, the creatures threw rocks against the house. Several hours later these strange hairy giants went back into the woods. After the men returned to the town and told the people about their adventure, _ . These were the people who remembered hearing tales about footprints of an animal that walked like a human being. The five men, however, were not the first to have seen these creatures called Bigfoot. Long before their experience, the local Native Americans were certain that a group of apelike animals had been living in the _ mountain for centuries. In 1958, some workers, who were building a road through the jungles of Northern California, often found huge footprints in the earth around their camp. Then in 1967, Roger Patterson, a man who was interested in finding Bigfoot, went into the same jungles with a friend. While riding, they were suddenly thrown off from their horses. Patterson saw a tall apelike animal standing not far away. He managed to take photos of the hairy creature before it disappeared in the jungles. When Patterson's photos were shown to the public, not many people believed his story. Richard Brown, an experienced hunter, discovered a similar creature. He saw the animal clearly through the telescopic lens of his rifle . He said the creature looked more like a human being than an animal. Later many other people also found deep footprints in the same area. In spite of regular reports of sightings and footprints, most experts still do not believe that Bigfoot really exists .\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38658\": \"Who was camping one day?\"\n },\n {\n \"38659\": \"Where?\"\n },\n {\n \"38660\": \"What did they see?\"\n },\n {\n \"38661\": \"What were they?\"\n },\n {\n \"38662\": \"Were they the first to see them?\"\n },\n {\n \"38663\": \"Who else saw them?\"\n },\n {\n \"38664\": \"Who else?\"\n },\n {\n \"38665\": \"Did he take a video of it?\"\n },\n {\n \"38666\": \"How about a picture?\"\n },\n {\n \"38667\": \"Did he show anyone?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38658\",\n \"answer\": \"five men\"\n },\n {\n \"question_id\": \"38659\",\n \"answer\": \"Cascade Mountains\"\n },\n {\n \"question_id\": \"38660\",\n \"answer\": \"group of huge apelike creatures\"\n },\n {\n \"question_id\": \"38661\",\n \"answer\": \"Bigfoo\"\n },\n {\n \"question_id\": \"38662\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38663\",\n \"answer\": \"local Native Americans\"\n },\n {\n \"question_id\": \"38664\",\n \"answer\": \"Roger Patterson\"\n },\n {\n \"question_id\": \"38665\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38666\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38667\",\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 TWO \n\nA MERRY CHRISTMAS \n\nJo was the first to wake in the gray dawn of Christmas morning. No stockings hung at the fireplace, and for a moment she felt as much disappointed as she did long ago, when her little sock fell down because it was crammed so full of goodies. Then she remembered her mother's promise and, slipping her hand under her pillow, drew out a little crimson-covered book. She knew it very well, for it was that beautiful old story of the best life ever lived, and Jo felt that it was a true guidebook for any pilgrim going on a long journey. She woke Meg with a \"Merry Christmas,\" and bade her see what was under her pillow. A green-covered book appeared, with the same picture inside, and a few words written by their mother, which made their one present very precious in their eyes. Presently Beth and Amy woke to rummage and find their little books also, one dove-colored, the other blue, and all sat looking at and talking about them, while the east grew rosy with the coming day. \n\nIn spite of her small vanities, Margaret had a sweet and pious nature, which unconsciously influenced her sisters, especially Jo, who loved her very tenderly, and obeyed her because her advice was so gently given. \n\n\"Girls,\" said Meg seriously, looking from the tumbled head beside her to the two little night-capped ones in the room beyond, \"Mother wants us to read and love and mind these books, and we must begin at once. We used to be faithful about it, but since Father went away and all this war trouble unsettled us, we have neglected many things. You can do as you please, but I shall keep my book on the table here and read a little every morning as soon as I wake, for I know it will do me good and help me through the day.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91672\": \"Who woke up in the gray dawn of Christmas morning?\"\n },\n {\n \"91673\": \"How many sisters are in this passage?\"\n },\n {\n \"91674\": \"Did the mother keep up her promise?\"\n },\n {\n \"91675\": \"What was under Jo's pillow?\"\n },\n {\n \"91676\": \"How did she wake Meg up?\"\n },\n {\n \"91677\": \"WHat color books did Beth and Amy achieved?\"\n },\n {\n \"91678\": \"Who had a pious nature of all the sisters?\"\n },\n {\n \"91679\": \"Who loved her the most?\"\n },\n {\n \"91680\": \"What did Meg advise her sisters?\"\n },\n {\n \"91681\": \"Were there any stockings hung at the fireplace?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91672\",\n \"answer\": \"Jo.\"\n },\n {\n \"question_id\": \"91673\",\n \"answer\": \"Six.\"\n },\n {\n \"question_id\": \"91674\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91675\",\n \"answer\": \"A book.\"\n },\n {\n \"question_id\": \"91676\",\n \"answer\": \"\\\"Merry Christmas,\\\"\"\n },\n {\n \"question_id\": \"91677\",\n \"answer\": \"One dove-colored, the other blue,\"\n },\n {\n \"question_id\": \"91678\",\n \"answer\": \"Margaret.\"\n },\n {\n \"question_id\": \"91679\",\n \"answer\": \"Jo.\"\n },\n {\n \"question_id\": \"91680\",\n \"answer\": \"Mother wants us to read.\"\n },\n {\n \"question_id\": \"91681\",\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 PANAMA CITY, Panama (CNN) -- Ricardo Martinelli, the multimillionaire owner of a supermarket chain, was inaugurated as president of Panama on Wednesday. \n\nRicardo Martinelli is a pro-business conservative who defeated a candidate from the ruling center-left party. \n\nNational Assembly President Jose Luis Varela performed the swearing-in and placed the presidential sash on Martinelli, a pro-business conservative who defeated a candidate from the ruling center-left party in May. \n\nThe citizens of Panama \"want things to be done differently,\" Varela said at the inauguration. \"An attitude of change starts today.\" \n\nIn his first speech as president, Martinelli promised a smaller government budget but raises for public workers. \n\nPublic safety, an issue that the outgoing administration of Martin Torrijos struggled to maintain, will be a priority, Martinelli said. \n\n\"Our prisons will be rehabilitation centers, not schools for criminals,\" he said. \n\nPanama will also work with Mexico and Colombia to combat drug trafficking in the region, Martinelli said. \n\nAmong the dignitaries at the inauguration was deposed Honduran President Jose Manuel Zelaya, who was ousted in a military-led coup Sunday. The Organization of American States has condemned the coup, and Zelaya has continued to carry out his presidential duties. \n\nThe son of Italian immigrants, Martinelli, 57, is a self-made businessman who is chairman of the Super 99 supermarket chain, one of the largest private companies in Panama. \n\nThe U.S.-educated president previously served as minister and chairman of the board of directors of the Panama Canal Authority and formerly was director of social security for Panama, according to his Web site. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35163\": \"In which country does this story take place?\"\n },\n {\n \"35164\": \"Who was the winner of the election?\"\n },\n {\n \"35165\": \"What was his prior job?\"\n },\n {\n \"35166\": \"Was he born rich?\"\n },\n {\n \"35167\": \"Were his parents Panamanian?\"\n },\n {\n \"35168\": \"Where were they from?\"\n },\n {\n \"35169\": \"Were they any foreign politicians at the ceremony?\"\n },\n {\n \"35170\": \"Who?\"\n },\n {\n \"35171\": \"Where is he from?\"\n },\n {\n \"35172\": \"Who performed the ceremony?\"\n },\n {\n \"35173\": \"What did he say the people of Panama want?\"\n },\n {\n \"35174\": \"What did Varela place on the new president?\"\n },\n {\n \"35175\": \"Who did Martinelli win against?\"\n },\n {\n \"35176\": \"Who was the previous president?\"\n },\n {\n \"35177\": \"What issue did he have problems with during his presidency?\"\n },\n {\n \"35178\": \"Will Martinelli increase the budget?\"\n },\n {\n \"35179\": \"What countries does he plan on working together with?\"\n },\n {\n \"35180\": \"What will they fight against?\"\n },\n {\n \"35181\": \"Did the new president give a speech?\"\n },\n {\n \"35182\": \"What country was he educated in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35163\",\n \"answer\": \"Panama\"\n },\n {\n \"question_id\": \"35164\",\n \"answer\": \"Ricardo Martinelli\"\n },\n {\n \"question_id\": \"35165\",\n \"answer\": \"minister and chairman of the board of directors of the Panama Canal Authority\"\n },\n {\n \"question_id\": \"35166\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35167\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35168\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"35169\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35170\",\n \"answer\": \"Jose Manuel Zelaya\"\n },\n {\n \"question_id\": \"35171\",\n \"answer\": \"Honduras\"\n },\n {\n \"question_id\": \"35172\",\n \"answer\": \"Jose Luis Varela\"\n },\n {\n \"question_id\": \"35173\",\n \"answer\": \"things to be done differently\"\n },\n {\n \"question_id\": \"35174\",\n \"answer\": \"the presidential sash\"\n },\n {\n \"question_id\": \"35175\",\n \"answer\": \"a candidate from the ruling center-left party.\"\n },\n {\n \"question_id\": \"35176\",\n \"answer\": \"Martin Torrijos\"\n },\n {\n \"question_id\": \"35177\",\n \"answer\": \"Public safety\"\n },\n {\n \"question_id\": \"35178\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35179\",\n \"answer\": \"Mexico and Colombia\"\n },\n {\n \"question_id\": \"35180\",\n \"answer\": \"drug trafficking\"\n },\n {\n \"question_id\": \"35181\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35182\",\n \"answer\": \"The U.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 ISIS, as the Islamic State jihadists in Iraq and Syria are known, has become the new face of international terrorism in the eyes of the United States and its Western allies. \n\nNow the focus in America and abroad has become what will President Barack Obama and other leaders do about it? \n\nHere are key questions on the matter: \n\n1) Who killed James Foley? \n\nBritain's ambassador to the United States, Peter Westmacott, told CNN on Sunday that British officials were close to identifying the ISIS militant who beheaded Foley, an American journalist captured in Syria in 2012. \n\nHe couldn't elaborate on the identity of the killer, who is seen decapitating Foley in a video posted last week on YouTube. \n\n\"We're putting a great deal into the search,\" he said, referring to the use of sophisticated technology to analyze the man's voice. \n\nIn the video, Foley, 40, is seen kneeling next to a man dressed in black, who speaks with what experts say is a distinctly English accent. \n\nLinguists said that based on his voice, the man sounds to be younger than 30. He also appears to have been educated in England from a young age and to be from southern England or London. \n\nBritain close to identifying James Foley's killer, ambassador says \n\n2) Will the United States expand air strikes to ISIS targets in Syria? \n\nPressure is increasing on Obama to go after ISIS in both Iraq and Syria, ignoring an essentially non-existent border between them. \n\nLast week, Defense Secretary Chuck Hagel and Joint Chiefs Chairman Gen. Martin Dempsey said that taking on ISIS in Syria was the only way to defeat the Sunni jihadists. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93832\": \"Who is the new face of terrorism?\"\n },\n {\n \"93833\": \"Who alleges this?\"\n },\n {\n \"93834\": \"Anyone else?\"\n },\n {\n \"93835\": \"Under whose administration is this a priority?\"\n },\n {\n \"93836\": \"Who is the firs key point on the matter about?\"\n },\n {\n \"93837\": \"What was his fate?\"\n },\n {\n \"93838\": \"How was he murdered?\"\n },\n {\n \"93839\": \"How old was he?\"\n },\n {\n \"93840\": \"How old do they think the person who ended his life was?\"\n },\n {\n \"93841\": \"What did Foley do for a living?\"\n },\n {\n \"93842\": \"In what year did this happen?\"\n },\n {\n \"93843\": \"Where?\"\n },\n {\n \"93844\": \"Who told CNN the authorities were close to solving the case?\"\n },\n {\n \"93845\": \"And what's his job?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93832\",\n \"answer\": \"ISIS,\"\n },\n {\n \"question_id\": \"93833\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"93834\",\n \"answer\": \"Western allies\"\n },\n {\n \"question_id\": \"93835\",\n \"answer\": \"President Barack Obama\"\n },\n {\n \"question_id\": \"93836\",\n \"answer\": \"James Foley\"\n },\n {\n \"question_id\": \"93837\",\n \"answer\": \"Death\"\n },\n {\n \"question_id\": \"93838\",\n \"answer\": \"decapitating\"\n },\n {\n \"question_id\": \"93839\",\n \"answer\": \"40\"\n },\n {\n \"question_id\": \"93840\",\n \"answer\": \"30\"\n },\n {\n \"question_id\": \"93841\",\n \"answer\": \"He was a journalist\"\n },\n {\n \"question_id\": \"93842\",\n \"answer\": \"2012\"\n },\n {\n \"question_id\": \"93843\",\n \"answer\": \"Syria\"\n },\n {\n \"question_id\": \"93844\",\n \"answer\": \"Peter Westmacott\"\n },\n {\n \"question_id\": \"93845\",\n \"answer\": \"Britain's ambassador to the 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 A pine is any conifer in the genus Pinus, , of the family Pinaceae. \"Pinus\" is the sole genus in the subfamily Pinoideae. The Plant List compiled by the Royal Botanic Gardens, Kew and Missouri Botanical Garden accepts 126 species names of pines as current, together with 35 unresolved species and many more synonyms. \n\nThe modern English name \"pine\" derives from Latin \"pinus\", which some have traced to the Indo-European base *pīt- ‘resin’ (source of English pituitary). Before the 19th century, pines were often referred to as firs (from Old Norse \"fura\", by way of Middle English \"firre\"). In some European languages, Germanic cognates of the Old Norse name are still in use for pines—in Danish \"fyr\", in Norwegian \"fura/fure/furu\", Swedish \"fura/furu\", Dutch \"vuren\", and German \"Föhre\"—but in modern English, \"fir\" is now restricted to fir (\"Abies\") and Douglas fir (\"Pseudotsuga\"). \n\nPines are gymnosperms. The genus is divided into three subgenera, which can be distinguished by cone, seed, and leaf characters: \n\nMost regions of the Northern Hemisphere (see List of pines by region) host some native species of pines. One species (Sumatran pine) crosses the equator in Sumatra to 2°S. In North America, various species occur in regions at latitudes from as far north as 66°N to as far south as 12°N.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91430\": \"what is the article about?\"\n },\n {\n \"91431\": \"and do we have pines in North America?\"\n },\n {\n \"91432\": \"what regions have native pines?\"\n },\n {\n \"91433\": \"what family does it belong to?\"\n },\n {\n \"91434\": \"where does the name come from?\"\n },\n {\n \"91435\": \"what is it called in Latin?\"\n },\n {\n \"91436\": \"was it called anything else in English?\"\n },\n {\n \"91437\": \"when?\"\n },\n {\n \"91438\": \"what do the Germans call it?\"\n },\n {\n \"91439\": \"who compiled the list?\"\n },\n {\n \"91440\": \"how many are accepted?\"\n },\n {\n \"91441\": \"what are they called in Dutch?\"\n },\n {\n \"91442\": \"is Fir still used in English now for pines?\"\n },\n {\n \"91443\": \"what is Fir used for?\"\n },\n {\n \"91444\": \"what is it called in Swedish?\"\n },\n {\n \"91445\": \"where does it cross the equator?\"\n },\n {\n \"91446\": \"what is it called there?\"\n },\n {\n \"91447\": \"how many subgenera is it divided into?\"\n },\n {\n \"91448\": \"how can you know the difference?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91430\",\n \"answer\": \"pine trees\"\n },\n {\n \"question_id\": \"91431\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91432\",\n \"answer\": \"Most regions of the Northern Hemisphere\"\n },\n {\n \"question_id\": \"91433\",\n \"answer\": \"Pinaceae\"\n },\n {\n \"question_id\": \"91434\",\n \"answer\": \"some have traced to the Indo-European base *p\\u012bt- \\u2018resin\\u2019 (source of English pituitary).\"\n },\n {\n \"question_id\": \"91435\",\n \"answer\": \"Pinaceae\"\n },\n {\n \"question_id\": \"91436\",\n \"answer\": \"firs\"\n },\n {\n \"question_id\": \"91437\",\n \"answer\": \"Before the 19th century\"\n },\n {\n \"question_id\": \"91438\",\n \"answer\": \"\\\"F\\u00f6hre\\\"\"\n },\n {\n \"question_id\": \"91439\",\n \"answer\": \"The Plant List compiled by the Royal botanic Gardens, Kew and Missouri otanical Garden\"\n },\n {\n \"question_id\": \"91440\",\n \"answer\": \"126 species\"\n },\n {\n \"question_id\": \"91441\",\n \"answer\": \"\\\"vuren\\\"\"\n },\n {\n \"question_id\": \"91442\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"91443\",\n \"answer\": \"fir is now restricted to fir (\\\"Abies\\\") and Douglas fir (\\\"Pseudotsuga\\\")\"\n },\n {\n \"question_id\": \"91444\",\n \"answer\": \"\\\"fura/furu\\\"\"\n },\n {\n \"question_id\": \"91445\",\n \"answer\": \"in Sumatra to 2\\u00b0S.\"\n },\n {\n \"question_id\": \"91446\",\n \"answer\": \"Sumatran pine is what the english term is for there plant\"\n },\n {\n \"question_id\": \"91447\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"91448\",\n \"answer\": \"they can be distinguished by cone, seed, and leaf characters:\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Taoism ( or ), also known as Daoism, is a religious or philosophical tradition of Chinese origin which emphasizes living in harmony with the \"Tao\" (, literally \"Way\", also romanized as \"Dao\"). The \"Tao\" is a fundamental idea in most Chinese philosophical schools; in Taoism, however, it denotes the principle that is the source, pattern and substance of everything that exists. Taoism differs from Confucianism by not emphasizing rigid rituals and social order. Taoist ethics vary depending on the particular school, but in general tend to emphasize \"wu wei\" (effortless action), \"naturalness\", simplicity, spontaneity, and the Three Treasures: 慈 \"compassion\", 儉 \"frugality\", and 不敢為天下先 \"humility\". \n\nThe roots of Taoism go back at least to the 4th century BCE. Early Taoism drew its cosmological notions from the School of Yinyang (Naturalists), and was deeply influenced by one of the oldest texts of Chinese culture, the \"Yijing\", which expounds a philosophical system about how to keep human behavior in accordance with the alternating cycles of nature. The \"Legalist\" Shen Buhai may also have been a major influence, expounding a realpolitik of wu wei. The \"Tao Te Ching\", a compact book containing teachings attributed to Laozi (), is widely considered the keystone work of the Taoist tradition, together with the later writings of Zhuangzi.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22160\": \"What is a Chinese tradition?\"\n },\n {\n \"22161\": \"what else is it called?\"\n },\n {\n \"22162\": \"what kind of traditio?\"\n },\n {\n \"22163\": \"what does it teach?\"\n },\n {\n \"22164\": \"with what?\"\n },\n {\n \"22165\": \"what does that mean?\"\n },\n {\n \"22166\": \"what is it based on?\"\n },\n {\n \"22167\": \"is it like Confucianism?\"\n },\n {\n \"22168\": \"how are they different?\"\n },\n {\n \"22169\": \"where did it originate?\"\n },\n {\n \"22170\": \"when?\"\n },\n {\n \"22171\": \"what were other influences?\"\n },\n {\n \"22172\": \"what was that?\"\n },\n {\n \"22173\": \"were there other influences?\"\n },\n {\n \"22174\": \"what or who?\"\n },\n {\n \"22175\": \"who is that?\"\n },\n {\n \"22176\": \"how?\"\n },\n {\n \"22177\": \"what is wu wei?\"\n },\n {\n \"22178\": \"which book contains teacings from Laozi?\"\n },\n {\n \"22179\": \"Is it a large book?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22160\",\n \"answer\": \"Taoism\"\n },\n {\n \"question_id\": \"22161\",\n \"answer\": \"Daoism\"\n },\n {\n \"question_id\": \"22162\",\n \"answer\": \"religious or philosophical\"\n },\n {\n \"question_id\": \"22163\",\n \"answer\": \"living in harmony\"\n },\n {\n \"question_id\": \"22164\",\n \"answer\": \"the \\\"Tao\\\"\"\n },\n {\n \"question_id\": \"22165\",\n \"answer\": \"literally means the \\\"Way\\\",\"\n },\n {\n \"question_id\": \"22166\",\n \"answer\": \"the principle that is the source, pattern and substance of everything that exists\"\n },\n {\n \"question_id\": \"22167\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22168\",\n \"answer\": \"it doesn't emphasize rigid rituals and social order\"\n },\n {\n \"question_id\": \"22169\",\n \"answer\": \"from the School of Yinyang\"\n },\n {\n \"question_id\": \"22170\",\n \"answer\": \"at least to the 4th century BCE\"\n },\n {\n \"question_id\": \"22171\",\n \"answer\": \"one of the oldest texts of Chinese culture\"\n },\n {\n \"question_id\": \"22172\",\n \"answer\": \"the \\\"Yijing\\\"\"\n },\n {\n \"question_id\": \"22173\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22174\",\n \"answer\": \"Shen Buhai\"\n },\n {\n \"question_id\": \"22175\",\n \"answer\": \"The \\\"Legalist\\\"\"\n },\n {\n \"question_id\": \"22176\",\n \"answer\": \"expounding a realpolitik of wu wei.\"\n },\n {\n \"question_id\": \"22177\",\n \"answer\": \"effortless action\"\n },\n {\n \"question_id\": \"22178\",\n \"answer\": \"The \\\"Tao Te Ching\\\"\"\n },\n {\n \"question_id\": \"22179\",\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 John Winston Ono Lennon, (born John Winston Lennon; 9 October 19408 December 1980) was an English singer, songwriter, musician, and activist who co-founded the Beatles, the most commercially successful and musically influential band in the history of popular music. He and fellow member Paul McCartney formed a much-celebrated songwriting partnership. \n\nBorn and raised in Liverpool, Lennon became involved in the skiffle craze as a teenager; his first band, the Quarrymen, was named the Silver Beatles, and finally evolved into the Beatles in 1960. When the group disbanded in 1970, Lennon embarked on a sporadic solo career that produced albums including \"John Lennon/Plastic Ono Band\" and \"Imagine\", and songs such as \"Give Peace a Chance\", \"Working Class Hero\", and \"Imagine\". After he married Yoko Ono in 1969, he added \"Ono\" as one of his middle names. Lennon disengaged himself from the music business in 1975 to raise his infant son Sean, but re-emerged with Ono in 1980 with the new album \"Double Fantasy\". He was shot and killed in front of his Manhattan apartment three weeks after its release. \n\nLennon revealed a rebellious nature and acerbic wit in his music, writing, drawings, on film and in interviews. Controversial through his political and peace activism, he moved from London to Manhattan in 1971, where his criticism of the Vietnam War resulted in a lengthy attempt by the Nixon administration to deport him. Some of his songs were adopted as anthems by the anti-war movement and the larger counterculture.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40329\": \"When was Lennon born?\"\n },\n {\n \"40330\": \"What year?\"\n },\n {\n \"40331\": \"What was his birth name?\"\n },\n {\n \"40332\": \"Where was he born?\"\n },\n {\n \"40333\": \"Was he raised there?\"\n },\n {\n \"40334\": \"What was popular when he was a teen?\"\n },\n {\n \"40335\": \"Did he have a band?\"\n },\n {\n \"40336\": \"What was his first band?\"\n },\n {\n \"40337\": \"Was it renamed?\"\n },\n {\n \"40338\": \"What?\"\n },\n {\n \"40339\": \"What was it in 1960?\"\n },\n {\n \"40340\": \"How long did that last\"\n },\n {\n \"40341\": \"How many years was that?\"\n },\n {\n \"40342\": \"Was it a popular group?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"40329\",\n \"answer\": \"9 October\"\n },\n {\n \"question_id\": \"40330\",\n \"answer\": \"1980\"\n },\n {\n \"question_id\": \"40331\",\n \"answer\": \"John Winston Lennon\"\n },\n {\n \"question_id\": \"40332\",\n \"answer\": \"Liverpool\"\n },\n {\n \"question_id\": \"40333\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40334\",\n \"answer\": \"skiffle craze\"\n },\n {\n \"question_id\": \"40335\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40336\",\n \"answer\": \"Quarrymen\"\n },\n {\n \"question_id\": \"40337\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40338\",\n \"answer\": \"Silver Beatles\"\n },\n {\n \"question_id\": \"40339\",\n \"answer\": \"Beatles\"\n },\n {\n \"question_id\": \"40340\",\n \"answer\": \"1960 to 1970\"\n },\n {\n \"question_id\": \"40341\",\n \"answer\": \"10 years\"\n },\n {\n \"question_id\": \"40342\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Marco Simoncelli hopes he has put his Le Mans nightmare behind him after earning the first pole position of his top-level motorcycling career in Spain on Saturday. \n\nThe Italian rider was reprimanded by MotoGP chiefs following an incident in France two weeks ago that caused Dani Pedrosa to crash and miss his home race after breaking his collarbone. \n\nSimoncelli reportedly received death threats following that collision, which resulted in the 24-year-old finishing fifth after being hit with a ride-through penalty, having been denied his first podium placing. \n\n\"This is the best way to forget what happened in Le Mans and what everyone has been saying in the last two weeks, and before this race,\" he said after qualifying first for Sunday's Catalunya Grand Prix near Barcelona. \n\nPedrosa crash overshadows Stoner's French MotoGP success \n\nSimoncelli headed off Le Mans winner Casey Stoner and Yamaha's world champion and series leader Jorge Lorenzo as he set a late lap of one minute 42.413 seconds. \n\nStoner had led for the entire session but was denied his fourth pole position from five attempts this season as he bids to cut Lorenzo's 12-point advantage. \n\n\"I'm very satisfied and happy. I didn't expect it because Stoner was faster than me in the other sessions and today we had some problems in the first part of qualifying, but after we chose the right tire for me I could push like I wanted and got this time,\" Simoncelli said. \n\nAmerican Ben Spies will lead the second row on the grid from Honda's Andrea Dovizioso and fellow Yamaha rider Cal Crutchlow, while seven-time world champion Valentino Rossi was seventh ahead of Ducati teammate Nicky Hayden of the U.S. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86436\": \"Why was Marco Simoncelli punished?\"\n },\n {\n \"86437\": \"What sort of incident?\"\n },\n {\n \"86438\": \"Against whom?\"\n },\n {\n \"86439\": \"Who punished him?\"\n },\n {\n \"86440\": \"What other punishment did he receive?\"\n },\n {\n \"86441\": \"What did he win on Saturday?\"\n },\n {\n \"86442\": \"What allowed him to make his top time?\"\n },\n {\n \"86443\": \"What was the time?\"\n },\n {\n \"86444\": \"Who set better times than him earlier on?\"\n },\n {\n \"86445\": \"Who's at the front of the next row?\"\n },\n {\n \"86446\": \"What nationality is he?\"\n },\n {\n \"86447\": \"What brand of motorcycle does he drive?\"\n },\n {\n \"86448\": \"What made Dani Pedrosa's crash especially disappointing?\"\n },\n {\n \"86449\": \"Who has won the world championship several times?\"\n },\n {\n \"86450\": \"Who rides a Honda?\"\n },\n {\n \"86451\": \"What track are the runs being described taking place at?\"\n },\n {\n \"86452\": \"What city?\"\n },\n {\n \"86453\": \"What track did the crash take place at?\"\n },\n {\n \"86454\": \"Who's on top of the current series?\"\n },\n {\n \"86455\": \"How much of a lead does he have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86436\",\n \"answer\": \"racing incident in France\"\n },\n {\n \"question_id\": \"86437\",\n \"answer\": \"caused a crash\"\n },\n {\n \"question_id\": \"86438\",\n \"answer\": \"Dani Pedrosa\"\n },\n {\n \"question_id\": \"86439\",\n \"answer\": \"MotoGP chiefs\"\n },\n {\n \"question_id\": \"86440\",\n \"answer\": \"a ride-through penalty,\"\n },\n {\n \"question_id\": \"86441\",\n \"answer\": \"his first pole position\"\n },\n {\n \"question_id\": \"86442\",\n \"answer\": \"chose the right tire\"\n },\n {\n \"question_id\": \"86443\",\n \"answer\": \"one minute 42.413 seconds.\"\n },\n {\n \"question_id\": \"86444\",\n \"answer\": \"Stoner\"\n },\n {\n \"question_id\": \"86445\",\n \"answer\": \"Ben Spies\"\n },\n {\n \"question_id\": \"86446\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"86447\",\n \"answer\": \"Yamaha\"\n },\n {\n \"question_id\": \"86448\",\n \"answer\": \"rwithout the penalty, Simoncelli would have won\"\n },\n {\n \"question_id\": \"86449\",\n \"answer\": \"Valentino Rossi\"\n },\n {\n \"question_id\": \"86450\",\n \"answer\": \"Andrea Dovizioso\"\n },\n {\n \"question_id\": \"86451\",\n \"answer\": \"Catalunya Grand Prix\"\n },\n {\n \"question_id\": \"86452\",\n \"answer\": \"Barcelona\"\n },\n {\n \"question_id\": \"86453\",\n \"answer\": \"in Le Mans\"\n },\n {\n \"question_id\": \"86454\",\n \"answer\": \"Jorge Lorenzo\"\n },\n {\n \"question_id\": \"86455\",\n \"answer\": \"2-point advantage.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Sitting in the first lady's box listening to the President Barack Obama push for movement on immigration reform, Cristian Avila no longer had to keep his head down and live in fear of being deported. \n\nWhile the President dedicated only a brief part of his State of the Union address to immigration, his message went beyond his speech, and the evidence was sitting among the guests invited to join the first lady in the viewing box. \n\n\"I feel honored and excited to be here. If it wasn't for receiving my DACA last summer I wouldn't have been able to attend the State of the Union,\" Avila told CNN. \n\nThe 23-year-old and his siblings are just one of the many thousands of recipients of the Deferred Action for Childhood Arrivals (DACA). Avila was illegally brought into the United States with his younger brother and sister when he was 9 years old \n\nDACA is a government program enacted in 2012 that stopped deporting some undocumented young people and instead granted them temporary work authorization and a two-year reprieve from deportation. \n\nObama hits the road to push State of the Union message \n\nThe recipients have become one of the most visible groups advocating for immigration reform. \n\nAvila caught the attention of the Obama administration during his 22-day fast on the National Mall in support of immigration reform last November. And, for the last two years, Avila's been working as a voter engagement coordinator for Mi Familia Vota, a non-profit Latino civic engagement program. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53077\": \"Who was listening to the president?\"\n },\n {\n \"53078\": \"Which President?\"\n },\n {\n \"53079\": \"What was it about?\"\n },\n {\n \"53080\": \"Does it have anything to do with DACA?\"\n },\n {\n \"53081\": \"What DACA stands for?\"\n },\n {\n \"53082\": \"How old is Avila?\"\n },\n {\n \"53083\": \"Does he have brothers and sisters?\"\n },\n {\n \"53084\": \"Did they receive DACA?\"\n },\n {\n \"53085\": \"When the program started?\"\n },\n {\n \"53086\": \"Who were the recipients?\"\n },\n {\n \"53087\": \"Were they allowed to work?\"\n },\n {\n \"53088\": \"Could they be deported?\"\n },\n {\n \"53089\": \"For how many years?\"\n },\n {\n \"53090\": \"How he came into the picture?\"\n },\n {\n \"53091\": \"For how long?\"\n },\n {\n \"53092\": \"In any specific place?\"\n },\n {\n \"53093\": \"When?\"\n },\n {\n \"53094\": \"What was the cause?\"\n },\n {\n \"53095\": \"What did he do then?\"\n },\n {\n \"53096\": \"For whom?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53077\",\n \"answer\": \"Cristian Avila\"\n },\n {\n \"question_id\": \"53078\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"53079\",\n \"answer\": \"immigration reform\"\n },\n {\n \"question_id\": \"53080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53081\",\n \"answer\": \"Deferred Action for Childhood Arrivals\"\n },\n {\n \"question_id\": \"53082\",\n \"answer\": \"23\"\n },\n {\n \"question_id\": \"53083\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53084\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53085\",\n \"answer\": \"2012\"\n },\n {\n \"question_id\": \"53086\",\n \"answer\": \"undocumented young people\"\n },\n {\n \"question_id\": \"53087\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53088\",\n \"answer\": \"granted reprieve\"\n },\n {\n \"question_id\": \"53089\",\n \"answer\": \"two-year\"\n },\n {\n \"question_id\": \"53090\",\n \"answer\": \"he fasted\"\n },\n {\n \"question_id\": \"53091\",\n \"answer\": \"22-day\"\n },\n {\n \"question_id\": \"53092\",\n \"answer\": \"National Mall\"\n },\n {\n \"question_id\": \"53093\",\n \"answer\": \"last November\"\n },\n {\n \"question_id\": \"53094\",\n \"answer\": \"immigration reform\"\n },\n {\n \"question_id\": \"53095\",\n \"answer\": \"voter engagement coordinator\"\n },\n {\n \"question_id\": \"53096\",\n \"answer\": \"Mi Familia Vota\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII \n\nIt was a fine summer evening, and Richard and Carloman were playing at ball on the steps of the Castle-gate, when a voice was heard from beneath, begging for alms from the noble Princes in the name of the blessed Virgin, and the two boys saw a pilgrim standing at the gate, wrapt in a long robe of serge, with a staff in his hand, surmounted by a Cross, a scrip at his girdle, and a broad shady hat, which he had taken off, as he stood, making low obeisances, and asking charity. \n\n\"Come in, holy pilgrim,\" said Carloman. \"It is late, and you shall sup and rest here to-night.\" \n\n\"Blessings from Heaven light on you, noble Prince,\" replied the pilgrim, and at that moment Richard shouted joyfully, \"A Norman, a Norman! 'tis my own dear speech! Oh, are you not from Normandy? Osmond, Osmond! he comes from home!\" \n\n\"My Lord! my own Lord!\" exclaimed the pilgrim, and, kneeling on one knee at the foot of the steps, he kissed the hand which his young Duke held out to him--\"This is joy unlooked for!\" \n\n\"Walter!--Walter, the huntsman!\" cried Richard. \"Is it you? Oh, how is Fru Astrida, and all at home?\" \n\n\"Well, my Lord, and wearying to know how it is with you--\" began Walter--but a very different tone exclaimed from behind the pilgrim, \"What is all this? Who is stopping my way? What! Richard would be King, and more, would he? More insolence!\" It was Lothaire, returning with his attendants from the chase, in by no means an amiable mood, for he had been disappointed of his game. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"100060\": \"What season was it?\"\n },\n {\n \"100061\": \"Who was playing ball?\"\n },\n {\n \"100062\": \"Where?\"\n },\n {\n \"100063\": \"Steps of what?\"\n },\n {\n \"100064\": \"Who was standing at the gate?\"\n },\n {\n \"100065\": \"How was he dressed?\"\n },\n {\n \"100066\": \"What did Carloman say to him?\"\n },\n {\n \"100067\": \"Where did the pilgrim think Carloman was from?\"\n },\n {\n \"100068\": \"Whose hand did the pilgrim kiss?\"\n },\n {\n \"100069\": \"What is Walter?\"\n },\n {\n \"100070\": \"Who came back with his attendants?\"\n },\n {\n \"100071\": \"Was he happy?\"\n },\n {\n \"100072\": \"Why?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"100060\",\n \"answer\": \"summer\"\n },\n {\n \"question_id\": \"100061\",\n \"answer\": \"Richard and Carloman\"\n },\n {\n \"question_id\": \"100062\",\n \"answer\": \"on the steps\"\n },\n {\n \"question_id\": \"100063\",\n \"answer\": \"Castle-gate\"\n },\n {\n \"question_id\": \"100064\",\n \"answer\": \"pilgrim\"\n },\n {\n \"question_id\": \"100065\",\n \"answer\": \"long robe of serge\"\n },\n {\n \"question_id\": \"100066\",\n \"answer\": \"To come in, sup and rest the night\"\n },\n {\n \"question_id\": \"100067\",\n \"answer\": \"Normandy\"\n },\n {\n \"question_id\": \"100068\",\n \"answer\": \"young Duke\"\n },\n {\n \"question_id\": \"100069\",\n \"answer\": \"huntsman\"\n },\n {\n \"question_id\": \"100070\",\n \"answer\": \"Lothaire\"\n },\n {\n \"question_id\": \"100071\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"100072\",\n \"answer\": \"disappointed of his game\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Afrikaans () is a West Germanic language spoken in South Africa, Namibia and, to a lesser extent, Botswana and Zimbabwe. It evolved from the Dutch vernacular of South Holland (Hollandic dialect) spoken by the mainly Dutch settlers of what is now South Africa, where it gradually began to develop distinguishing characteristics in the course of the 18th century. Hence, it is a daughter language of Dutch, and was previously referred to as \"Cape Dutch\" (a term also used to refer collectively to the early Cape settlers) or \"kitchen Dutch\" (a derogatory term used to refer to Afrikaans in its earlier days). However, it is also variously described as a creole or as a partially creolised language. The term is ultimately derived from Dutch \"\" meaning \"African Dutch\". It is the first language of most of the Afrikaners and Coloureds of Southern Africa. \n\nAlthough Afrikaans has adopted words from other languages, including Portuguese, the Bantu languages, Malay, German and the Khoisan languages, an estimated 90 to 95% of the vocabulary of Afrikaans is of Dutch origin. Therefore, differences with Dutch often lie in the more analytic morphology and grammar of Afrikaans, and a spelling that expresses Afrikaans pronunciation rather than standard Dutch. There is a large degree of mutual intelligibility between the two languages—especially in written form.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9906\": \"what is Afrikaans?\"\n },\n {\n \"9907\": \"what type?\"\n },\n {\n \"9908\": \"where is it spoken?\"\n },\n {\n \"9909\": \"where else?\"\n },\n {\n \"9910\": \"any other places?\"\n },\n {\n \"9911\": \"which places is it spoken the most?\"\n },\n {\n \"9912\": \"where did it originate?\"\n },\n {\n \"9913\": \"of where?\"\n },\n {\n \"9914\": \"what did it used to be called?\"\n },\n {\n \"9915\": \"when was that?\"\n },\n {\n \"9916\": \"what is it also considered?\"\n },\n {\n \"9917\": \"is that a negative reference?\"\n },\n {\n \"9918\": \"what else is it described as?\"\n },\n {\n \"9919\": \"what does Afrikaan mean?\"\n },\n {\n \"9920\": \"who is it the main language for?\"\n },\n {\n \"9921\": \"which language is it most similar to?\"\n },\n {\n \"9922\": \"where can you see the most difference?\"\n },\n {\n \"9923\": \"did it also take words from other languages?\"\n },\n {\n \"9924\": \"which ones?\"\n },\n {\n \"9925\": \"what percentage is from languages other than dutch?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9906\",\n \"answer\": \"a language\"\n },\n {\n \"question_id\": \"9907\",\n \"answer\": \"West Germanic\"\n },\n {\n \"question_id\": \"9908\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"9909\",\n \"answer\": \"Namibia\"\n },\n {\n \"question_id\": \"9910\",\n \"answer\": \"Botswana and Zimbabwe\"\n },\n {\n \"question_id\": \"9911\",\n \"answer\": \"South Africa and Namibia\"\n },\n {\n \"question_id\": \"9912\",\n \"answer\": \"Dutch vernacular\"\n },\n {\n \"question_id\": \"9913\",\n \"answer\": \"South Holland\"\n },\n {\n \"question_id\": \"9914\",\n \"answer\": \"\\\"Cape Dutch\\\"\"\n },\n {\n \"question_id\": \"9915\",\n \"answer\": \"18th century\"\n },\n {\n \"question_id\": \"9916\",\n \"answer\": \"\\\"kitchen Dutch\\\"\"\n },\n {\n \"question_id\": \"9917\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9918\",\n \"answer\": \"a creole\"\n },\n {\n \"question_id\": \"9919\",\n \"answer\": \"\\\"African Dutch\\\"\"\n },\n {\n \"question_id\": \"9920\",\n \"answer\": \"Afrikaners and Coloureds of Southern Africa\"\n },\n {\n \"question_id\": \"9921\",\n \"answer\": \"Dutch\"\n },\n {\n \"question_id\": \"9922\",\n \"answer\": \"morphology and grammar\"\n },\n {\n \"question_id\": \"9923\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9924\",\n \"answer\": \"Portuguese, the Bantu languages, Malay, German and the Khoisan languages\"\n },\n {\n \"question_id\": \"9925\",\n \"answer\": \"5-10%\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The University of North Carolina at Chapel Hill, also known as UNC, or simply Carolina, is a public research university located in Chapel Hill, North Carolina, United States. It is one of the 17 campuses of the University of North Carolina system. After being chartered in 1789, the university first began enrolling students in 1795, which also allows it to be one of three schools to claim the title of the oldest public university in the United States. \n\nThe first public institution of higher education in North Carolina, the school opened its doors to students on February 12, 1795. The university offers degrees in over 70 courses of study through fourteen colleges and the College of Arts and Sciences. All undergraduates receive a liberal arts education and have the option to pursue a major within the professional schools of the university or within the College of Arts and Sciences from the time they obtain junior status. Under the leadership of President Kemp Plummer Battle, in 1877 North Carolina became coeducational and began the process of desegregation in 1951 when African-American graduate students were admitted under Chancellor Robert Burton House. In 1952, North Carolina opened its own hospital, UNC Health Care, for research and treatment, and has since specialized in cancer care. The school's students, alumni, and sports teams are known as \"Tar Heels\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32816\": \"what is known as UNC\"\n },\n {\n \"32817\": \"what year did it begin enrollemnet\"\n },\n {\n \"32818\": \"how many campuses\"\n },\n {\n \"32819\": \"what date did it open\"\n },\n {\n \"32820\": \"does it have its own hospital\"\n },\n {\n \"32821\": \"how many courses of study are there\"\n },\n {\n \"32822\": \"was it the first public instition\"\n },\n {\n \"32823\": \"what are the school teams known as\"\n },\n {\n \"32824\": \"when was desegregation\"\n },\n {\n \"32825\": \"is it located in Florida\"\n },\n {\n \"32826\": \"what does hospital specialize in\"\n },\n {\n \"32827\": \"what year did the Medical facility open\"\n },\n {\n \"32828\": \"are there 3 educational facilities that claim the title of oldest\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"32816\",\n \"answer\": \"University of North Carolina\"\n },\n {\n \"question_id\": \"32817\",\n \"answer\": \"1795\"\n },\n {\n \"question_id\": \"32818\",\n \"answer\": \"17 total campuses in the University of North Carolina system.\"\n },\n {\n \"question_id\": \"32819\",\n \"answer\": \"February 12, 1795\"\n },\n {\n \"question_id\": \"32820\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32821\",\n \"answer\": \"over 70\"\n },\n {\n \"question_id\": \"32822\",\n \"answer\": \"It was the first institution of higher education in North Carolina.\"\n },\n {\n \"question_id\": \"32823\",\n \"answer\": \"\\\"Tar Heels\\\"\"\n },\n {\n \"question_id\": \"32824\",\n \"answer\": \"1951\"\n },\n {\n \"question_id\": \"32825\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32826\",\n \"answer\": \"cancer care\"\n },\n {\n \"question_id\": \"32827\",\n \"answer\": \"1952\"\n },\n {\n \"question_id\": \"32828\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XV. \n\n\"It's hame, and it's hame, and it's hame.\" \n\nCunningham. \n\nEdmund and Gerald had promised to spend a few days at Oakworthy, before the one returned to Portsmouth and the other to Eton; but their plans were disconcerted by an event which, as Clara said, placed Marian in mourning in good earnest, namely, the death of her great aunt, old Mrs. Jessie Arundel, who had always lived at Torquay. For the last four or five years she had been almost imbecile, and so likely to die at any time, that, as it seemed for that very reason, every one took her death as a surprise when it really happened. \n\nEdmund thought it right that both he and Gerald should attend her funeral. Lord Marchmont, whose wife stood in the same relationship to her, met them in London, and they all went together to Torquay, instead of making the intended visit to Oakworthy. Gerald was obliged to return to Eton on the following day, without coming to Oakworthy; but, to make up for it, he wrote to his Writer from Torquay, and his letter ended thus,--\"Now I have a capital bit of news for you. Old aunt Jessie has done what I shall venerate her for ever after--left every scrap of her property to Edmund, except a legacy or two to her servants, a picture of my father to me, and some queer old-fashioned jewels to you and Selina. The will was made just after I was born; so it was to make up to Edmund for my cutting him out of Fern Torr. You may suppose how Lord Marchmont and I shook hands with him. It is somewhere about £20,000; there is good news for you! He is executor, and has got to be here a day or two longer; but Lord Marchmont and I set off by the first train to-morrow. I shall look out for Lionel, tell him, in case he is too blind to see me. Can't you come with him to the station, and have one moment's talk?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62927\": \"Where did they promise to spend time?\"\n },\n {\n \"62928\": \"Who passed away?\"\n },\n {\n \"62929\": \"Where did she live?\"\n },\n {\n \"62930\": \"Was the passing a shock?\"\n },\n {\n \"62931\": \"Who decided they should go to the burial?\"\n },\n {\n \"62932\": \"Who else is going?\"\n },\n {\n \"62933\": \"Who did they meet in England?\"\n },\n {\n \"62934\": \"Where did they go?\"\n },\n {\n \"62935\": \"Who did he write to?\"\n },\n {\n \"62936\": \"Who did she leave her stuff to?\"\n },\n {\n \"62937\": \"Who is taking the locomotive?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"62927\",\n \"answer\": \"Oakworthy\"\n },\n {\n \"question_id\": \"62928\",\n \"answer\": \"Mrs. Arundel\"\n },\n {\n \"question_id\": \"62929\",\n \"answer\": \"Torquay\"\n },\n {\n \"question_id\": \"62930\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62931\",\n \"answer\": \"Edmund\"\n },\n {\n \"question_id\": \"62932\",\n \"answer\": \"Gerald\"\n },\n {\n \"question_id\": \"62933\",\n \"answer\": \"Lord Marchmont\"\n },\n {\n \"question_id\": \"62934\",\n \"answer\": \"Torquay\"\n },\n {\n \"question_id\": \"62935\",\n \"answer\": \"his Writer\"\n },\n {\n \"question_id\": \"62936\",\n \"answer\": \"Edmund\"\n },\n {\n \"question_id\": \"62937\",\n \"answer\": \"Lord Marchmont and Gerald\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Dhanusha, Nepal (CNN)At Kathmandu's Tribhuvan International Airport, hundreds of migrant workers line up daily at the immigration counters, clutching newly printed passports and boarding passes. Many of them, though, are clueless as to where they're headed. \n\nAs a frequent traveler to the country, I've been approached many times by these men, asking me to help fill out their departure forms. \n\nUsually, when I ask what country they're traveling to, I get the same answer: \"I'm not sure.\" \n\nThey seem weary and lost but still hopeful that they can make their lives better. \n\nThis time, however, I'm at the airport to follow up on the repatriation of the most unfortunate of these migrant workers -- far too many of them make the return journey in caskets. \n\nAlmost every day, the remains of three or four workers arrive back in Nepal from the Middle East, according to Bhola Prasad Siwakoti, the secretary of the Nepalese Ministry of Labor and Manpower. Every other day, at least one dead body arrives from Qatar, he said. \n\n\"Nepali migrant workers have the lowest per capita income in Qatar,\" says Suryanath Mishra, who served as ambassador to Qatar from 2007 to 2012. \"They get exploited the most out of all the migrant workers.\" \n\nHe cites lack of education and technical skills as the main causes. \n\nWe are waiting for the body of Kishun Das, who left Nepal for Qatar only eight months ago. The 38-year old was his family's breadwinner and the father of five children. \n\nHis younger brother, Bishun, is at the airport to receive the body. He also works in Qatar and is in Nepal on leave. I ask him why he's alone. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"394\": \"How many migrant workers line up at the counters?\"\n },\n {\n \"395\": \"At which counters?\"\n },\n {\n \"396\": \"They're clutching printed passports and what?\"\n },\n {\n \"397\": \"How many don't know where they're going?\"\n },\n {\n \"398\": \"What do they ask for help with?\"\n },\n {\n \"399\": \"What do they seem to have hope for?\"\n },\n {\n \"400\": \"Do remains arrive every day?\"\n },\n {\n \"401\": \"Where from?\"\n },\n {\n \"402\": \"According to who?\"\n },\n {\n \"403\": \"Who has the lowest income in Qatar?\"\n },\n {\n \"404\": \"Who was ambassador to Qatar in 2012?\"\n },\n {\n \"405\": \"Whose body was being expected?\"\n },\n {\n \"406\": \"How old was he?\"\n },\n {\n \"407\": \"Did he have kids?\"\n },\n {\n \"408\": \"Who was his brother?\"\n },\n {\n \"409\": \"Where does he work?\"\n },\n {\n \"410\": \"Is he alone?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"394\",\n \"answer\": \"Hundreds.\"\n },\n {\n \"question_id\": \"395\",\n \"answer\": \"The immigration counters.\"\n },\n {\n \"question_id\": \"396\",\n \"answer\": \"Boarding passes.\"\n },\n {\n \"question_id\": \"397\",\n \"answer\": \"Many of them.\"\n },\n {\n \"question_id\": \"398\",\n \"answer\": \"Filling out forms.\"\n },\n {\n \"question_id\": \"399\",\n \"answer\": \"Making their lives better.\"\n },\n {\n \"question_id\": \"400\",\n \"answer\": \"Almost.\"\n },\n {\n \"question_id\": \"401\",\n \"answer\": \"The Middle East.\"\n },\n {\n \"question_id\": \"402\",\n \"answer\": \"Bhola Prasad Siwakoti.\"\n },\n {\n \"question_id\": \"403\",\n \"answer\": \"Nepali migrant workers.\"\n },\n {\n \"question_id\": \"404\",\n \"answer\": \"Suryanath Mishra.\"\n },\n {\n \"question_id\": \"405\",\n \"answer\": \"Kishun Das.\"\n },\n {\n \"question_id\": \"406\",\n \"answer\": \"38.\"\n },\n {\n \"question_id\": \"407\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"408\",\n \"answer\": \"Bishun.\"\n },\n {\n \"question_id\": \"409\",\n \"answer\": \"Qatar.\"\n },\n {\n \"question_id\": \"410\",\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) -- As World Cup openers go, this was about as bad as it gets for Portugal. \n\nThumped 4-0 by Germany, one key defender sent off, another possibly out of the tournament with injury and its World Player of the Year looking decidedly unfit. \n\nReal Madrid star Cristiano Ronaldo wasn't lacking in effort but was as powerless as those around him to prevent Portugal being steamrollered by Der Mannschaft in Salvador. \n\nIt started badly for Paulo Bento's men and got steadily worse as Germany maintained its record of scoring at least four goals in every opening World Cup match since 2002. \n\nLatest World Cup scores \n\nThey were 1-0 down after 10 minutes when Joao Pereira was adjudged to have hauled down Mario Gotze. Fellow Bayern Munich star Thomas Muller confidently slotted home the penalty. \n\nIt was 2-0 when Mats Hummels thumped a header into the net from Toni Kroos' corner. \n\nJust five minutes later, Real Madrid defender Pepe tangled with Muller, who sank theatrically to the turf claiming a hand to the face. \n\nPepe then stood over his opponent and pushed his head towards Muller's, the referee producing a straight red card. \n\nMuller then struck just before the interval to put the game well beyond Portugal, pouncing on a loose ball inside the area to fire past Rui Patricio. \n\nPortugal made a change at the break, as Ricardo Costa replaced Miguel Veloso, but it made little difference as Germany continued to press home their advantage. \n\nMesut Ozil, who plays for Arsenal, should have found the net when played through on goal but he hit his shot straight at Patricio. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37489\": \"Who is reporting the story?\"\n },\n {\n \"37490\": \"Name one of the teams/\"\n },\n {\n \"37491\": \"What team is Paulo Bento on?\"\n },\n {\n \"37492\": \"What record did Germany hold?\"\n },\n {\n \"37493\": \"since when?\"\n },\n {\n \"37494\": \"Who thumped a header into the net?\"\n },\n {\n \"37495\": \"Who replaced Miguel Veloso?\"\n },\n {\n \"37496\": \"Who does Mesut Ozil play for?\"\n },\n {\n \"37497\": \"What game is this?\"\n },\n {\n \"37498\": \"Did Portugal have a good start?\"\n },\n {\n \"37499\": \"Who was considered unfit?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37489\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"37490\",\n \"answer\": \"Portugal\"\n },\n {\n \"question_id\": \"37491\",\n \"answer\": \"Portugal\"\n },\n {\n \"question_id\": \"37492\",\n \"answer\": \"scoring at least four goals in every opening World Cup match\"\n },\n {\n \"question_id\": \"37493\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"37494\",\n \"answer\": \"Mats Hummels\"\n },\n {\n \"question_id\": \"37495\",\n \"answer\": \"Ricardo Costa\"\n },\n {\n \"question_id\": \"37496\",\n \"answer\": \"Arsenal\"\n },\n {\n \"question_id\": \"37497\",\n \"answer\": \"Soccer\"\n },\n {\n \"question_id\": \"37498\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37499\",\n \"answer\": \"Portugal's World Player of the Year\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (EW.com) -- Since everything about Les Misérables is fortissimo — including but not limited to its unabashed pursuit of awards that are shiny or globular or both — you have perhaps already heard a little about the movie now storming the Bastille of your wallet. \n\nYou may already know that to make his movie adaptation of the internationally popular theatrical musical conjured from the 19th-century political novel by Victor Hugo, director Tom Hooper (The King's Speech) bade his actors sing live during filming. You probably already know that Anne Hathaway, as the wretched single mother-turned-prostitute Fantine, is reputedly a formidable Oscar favorite for her sobbing and warbling and haircutting-in-real-time. You've learned, from posters and trailers, that Hugh Jackman, as former convict Jean Valjean, looks impressively stricken and that Russell Crowe, as implacable police inspector Javert, looks disconcertingly dyspeptic. \n\nWhat's left to learn is this: Les Misérables provides compelling reasons for Crowe to be peeved, beginning with the humiliation of having to sing Broadway-style, when it clearly is so not his thing, and ending with the Cap'n Crunch wardrobe into which the gentleman is packed. (O, for Crowe's costumed glory days in Master and Commander: The Far Side of the World!) Jackman has a right to be cranky too, although he's too much of a trouper to show it as he overemotes on demand and sings of finding God after he steals a pair of candlesticks from a nice priest. (Long story.) Hathaway looks happy enough channeling Liza Minnelli for her tremulous rendition of the Susan Boyle-appropriated anthem ''I Dreamed a Dream,'' but that's no doubt because she knows that soon after the song, she's pretty much done for the night. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91157\": \"Who wrote the original political novel which Les Mis is based off of?\"\n },\n {\n \"91158\": \"Who is directing the movie?\"\n },\n {\n \"91159\": \"What else did he direct?\"\n },\n {\n \"91160\": \"What did he ask of his actors?\"\n },\n {\n \"91161\": \"Who plays Fantine?\"\n },\n {\n \"91162\": \"What song does she perform?\"\n },\n {\n \"91163\": \"Which award is she a favorite for?\"\n },\n {\n \"91164\": \"Who plays a convict?\"\n },\n {\n \"91165\": \"Is the author of the article impressed with his looks?\"\n },\n {\n \"91166\": \"Which other actor was the author not so impressed with?\"\n },\n {\n \"91167\": \"Which part did he play?\"\n },\n {\n \"91168\": \"What does the author say is \\\"not his thing\\\"?\"\n },\n {\n \"91169\": \"in which style?\"\n },\n {\n \"91170\": \"How did the author describe his costume?\"\n },\n {\n \"91171\": \"In which movie did she prefer his wardrobe?\"\n },\n {\n \"91172\": \"Is the movie expected to win several awards?\"\n },\n {\n \"91173\": \"Who does the author say Anne Hathaway is channeling?\"\n },\n {\n \"91174\": \"Does her character have a major part afterwards?\"\n },\n {\n \"91175\": \"On what website was this article published?\"\n },\n {\n \"91176\": \"Which character cuts hair on stage?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91157\",\n \"answer\": \"Victor Hugo\"\n },\n {\n \"question_id\": \"91158\",\n \"answer\": \"Tom Hooper\"\n },\n {\n \"question_id\": \"91159\",\n \"answer\": \"The King's Speech\"\n },\n {\n \"question_id\": \"91160\",\n \"answer\": \"to sing live\"\n },\n {\n \"question_id\": \"91161\",\n \"answer\": \"Anne Hathaway\"\n },\n {\n \"question_id\": \"91162\",\n \"answer\": \"I Dreamed a Dream\"\n },\n {\n \"question_id\": \"91163\",\n \"answer\": \"an Oscar\"\n },\n {\n \"question_id\": \"91164\",\n \"answer\": \"Hugh Jackman\"\n },\n {\n \"question_id\": \"91165\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91166\",\n \"answer\": \"Russell Crowe\"\n },\n {\n \"question_id\": \"91167\",\n \"answer\": \"police inspector Javert\"\n },\n {\n \"question_id\": \"91168\",\n \"answer\": \"having to sing\"\n },\n {\n \"question_id\": \"91169\",\n \"answer\": \"Broadway-style\"\n },\n {\n \"question_id\": \"91170\",\n \"answer\": \"Like Cap'n Crunch\"\n },\n {\n \"question_id\": \"91171\",\n \"answer\": \"in Master and Commander\"\n },\n {\n \"question_id\": \"91172\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91173\",\n \"answer\": \"Liza Minnelli\"\n },\n {\n \"question_id\": \"91174\",\n \"answer\": \"she's pretty much done for the night.\"\n },\n {\n \"question_id\": \"91175\",\n \"answer\": \"EW.com\"\n },\n {\n \"question_id\": \"91176\",\n \"answer\": \"Fantine\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 FIFTEEN. \n\nTREATS OF ANCIENT DIPLOMACY AMONG THE NORSEMEN, AND SHOWS HOW OUR HERO TURNS THE TABLES ON A WOULD-BE ASSASSIN. \n\nWhen King Harald heard the news of the defeat of Hake and the slaughter of his men by Erling and Glumm, great was his wrath at first, and Jarl Rongvold had much ado to appease him and prevent him from going at once to Horlingdal to ravage it with fire and sword. But when he had cooled a little, and heard the details of the fight from Hake himself, his anger against the young warriors changed into admiration of their dauntless courage. \n\nHarald Fairhair was a kingly man in spirit as well as in appearance, and was above encouraging a mean or vengeful mood. He was indeed fierce and violent in his rage, and often did things which, when read of in the calm of a comparatively peaceful time, make one shudder; but it must not be forgotten that the age in which he lived was a cruel and bloody one, and, in Norway, without one touch of the gentle religion of Christ to soften its asperities. He could never have retained his power and rule over the stern warriors of his day, had he not possessed much of their own callous indifference to the horrors and cruelties of war. \n\n\"Thou hadst tougher work than thou countedst on, it would seem,\" he said to Hake; then, turning to Jarl Rongvold, with a laugh, \"Methinks I would fain have this Erling the Bold and his friend Glumm the Gruff among my men-at-arms.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38871\": \"how is Harald Fairhair described?\"\n },\n {\n \"38872\": \"what was the age he lived in like?\"\n },\n {\n \"38873\": \"who was defeated?\"\n },\n {\n \"38874\": \"who killed his men?\"\n },\n {\n \"38875\": \"where did Harald Fairhair live?\"\n },\n {\n \"38876\": \"how did he feel about war?\"\n },\n {\n \"38877\": \"how did he react to the news of the defeat?\"\n },\n {\n \"38878\": \"who calmed him?\"\n },\n {\n \"38879\": \"what did the king want to go do?\"\n },\n {\n \"38880\": \"and do what there?\"\n },\n {\n \"38881\": \"with what/\"\n },\n {\n \"38882\": \"what did his rage change to?\"\n },\n {\n \"38883\": \"why did his feelings change?\"\n },\n {\n \"38884\": \"who told him the details?\"\n },\n {\n \"38885\": \"were the warriors young or old?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38871\",\n \"answer\": \"a kingly man\"\n },\n {\n \"question_id\": \"38872\",\n \"answer\": \"a cruel and bloody\"\n },\n {\n \"question_id\": \"38873\",\n \"answer\": \"Hake\"\n },\n {\n \"question_id\": \"38874\",\n \"answer\": \"Erling and Glumm,\"\n },\n {\n \"question_id\": \"38875\",\n \"answer\": \"Norway\"\n },\n {\n \"question_id\": \"38876\",\n \"answer\": \"indifference\"\n },\n {\n \"question_id\": \"38877\",\n \"answer\": \"wrathful\"\n },\n {\n \"question_id\": \"38878\",\n \"answer\": \"Jarl Rongvold\"\n },\n {\n \"question_id\": \"38879\",\n \"answer\": \"going to Horlingda\"\n },\n {\n \"question_id\": \"38880\",\n \"answer\": \"ravage it\"\n },\n {\n \"question_id\": \"38881\",\n \"answer\": \"fire and sword\"\n },\n {\n \"question_id\": \"38882\",\n \"answer\": \"admiration\"\n },\n {\n \"question_id\": \"38883\",\n \"answer\": \"their dauntless courage.\"\n },\n {\n \"question_id\": \"38884\",\n \"answer\": \"Hake\"\n },\n {\n \"question_id\": \"38885\",\n \"answer\": \"young\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Voice of China was hot during the summer of 2012! The Voice of China is the large music show in China. This show is also the only one which regards the Voice as the only ruler. It premiered at 21:15 on July 13, 2012, on the Zhejiang Television. It has attracted great attention. _ . The first season used \"Real voice, real music\" as its slogan. As a mentor , singers like Liu Huan, Na Ying, Yu Chengqing and Yang Kun will be responsible for seeking world-shaking voices of China in the following three and a half months, through four stages, namely, \"blind choosing\", \"selecting\", \"team PK\" and \"yearly grand ceremony\". It is really a miracle that The Voice of China can stand out in the flood of today's talent shows in China and attracts the audience. A great many of audience said this will be the best television show in this summer. They were all proud for these good voices of China. The students' beautiful voices moved everyone. Xu Haixing, a girl from Chengdu, sang \"Self\" to realize her father's dream and Liu Huan was moved to tears by her song. Huang Yong sang \"In Spring\" showing his persistence on his dream and Yang Kun cried for this. The blind girl Zhang Yuxia, a busker from Taiwan, played while singing. She was praised as \"Deng Lijun No.2\" for her unique voice, and her sincere feelings touched everybody. Na Ying went to the stage to sing with the students together for two times. The Voice of China casts off magnificent clothes and wonderful dancing. It regards \"inspiration\" and \"professionalism\" as the ruler of music. The singer uses their songs to tell their real stories and the happiness of life.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93863\": \"Who sang \\\"self\\\"?\"\n },\n {\n \"93864\": \"Why?\"\n },\n {\n \"93865\": \"Did it make someone cry?\"\n },\n {\n \"93866\": \"Who?\"\n },\n {\n \"93867\": \"What show did she sing on?\"\n },\n {\n \"93868\": \"When did it premiere?\"\n },\n {\n \"93869\": \"What is its slogan?\"\n },\n {\n \"93870\": \"Which channel does it air on?\"\n },\n {\n \"93871\": \"What does it regard as the ruler of music?\"\n },\n {\n \"93872\": \"Who judges the show?\"\n },\n {\n \"93873\": \"Like who?\"\n },\n {\n \"93874\": \"Who else?\"\n },\n {\n \"93875\": \"How do they choose?\"\n },\n {\n \"93876\": \"What is the third stage?\"\n },\n {\n \"93877\": \"The fourth?\"\n },\n {\n \"93878\": \"What season does the show air in?\"\n },\n {\n \"93879\": \"Have any disabled people been on?\"\n },\n {\n \"93880\": \"Who?\"\n },\n {\n \"93881\": \"What was their disability?\"\n },\n {\n \"93882\": \"What title did she receive?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93863\",\n \"answer\": \"Xu Haixing\"\n },\n {\n \"question_id\": \"93864\",\n \"answer\": \"it was her father's dream\"\n },\n {\n \"question_id\": \"93865\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93866\",\n \"answer\": \"Liu Huan\"\n },\n {\n \"question_id\": \"93867\",\n \"answer\": \"The Voice of China\"\n },\n {\n \"question_id\": \"93868\",\n \"answer\": \"2012\"\n },\n {\n \"question_id\": \"93869\",\n \"answer\": \"\\\"Real voice, real music\\\"\"\n },\n {\n \"question_id\": \"93870\",\n \"answer\": \"Zhejiang Television.\"\n },\n {\n \"question_id\": \"93871\",\n \"answer\": \"professionalism and inspiration\"\n },\n {\n \"question_id\": \"93872\",\n \"answer\": \"singers\"\n },\n {\n \"question_id\": \"93873\",\n \"answer\": \"Liu Huan\"\n },\n {\n \"question_id\": \"93874\",\n \"answer\": \"Na Ying\"\n },\n {\n \"question_id\": \"93875\",\n \"answer\": \"through four stages of competition\"\n },\n {\n \"question_id\": \"93876\",\n \"answer\": \"team PK\"\n },\n {\n \"question_id\": \"93877\",\n \"answer\": \"the yearly grand ceremony\"\n },\n {\n \"question_id\": \"93878\",\n \"answer\": \"summewr\"\n },\n {\n \"question_id\": \"93879\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93880\",\n \"answer\": \"Zhang Yuxia\"\n },\n {\n \"question_id\": \"93881\",\n \"answer\": \"she is blind\"\n },\n {\n \"question_id\": \"93882\",\n \"answer\": \"\\\"Deng Lijun No.2\\\"\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Attorney General Eric Holder is not entirely ruling out a scenario under which a drone strike would be ordered against Americans on U.S. soil, but says it has never been done previously and he could only see it being considered in an extraordinary circumstance. \n\nHe began to winnow the list of those possible extraordinary circumstances Wednesday. In testimony Wednesday before the Senate Judiciary Committee, Sen. Ted Cruz, R-Texas, pressed Holder whether he believed it would be constitutional to target an American terror suspect \"sitting at a cafe\" if the suspect didn't pose an imminent threat. \n\n\"No,\" Holder replied. \n\nBut he also said the government has no intention of carrying out drone strikes inside the United States. Echoing what he said in a letter to U.S. Sen. Rand Paul, R-Kentucky, he called the possibility of domestic drone strikes \"entirely hypothetical.\" \n\nThat letter, released Tuesday, was prompted by questions raised over the nomination of John Brennan to head the CIA. Specifically, members of the Senate Intelligence Committee sought the Obama administration's legal rationale for its use of drones to kill terror suspects overseas. \n\nBut Sen. Rand Paul, a Kentucky Republican who has said he would do what he could to hold up Brennan's nomination until he got a full answer to his query, wanted to know whether the administration considered that policy applicable domestically. \n\nHolder: Drone strike against Americans in the U.S. possible \n\nIn a letter to Paul dated on Monday, Holder said it was possible, \"I suppose,\" to imagine an \"extraordinary circumstance in which it would be necessary and appropriate\" under U.S. law for the president to authorize the military to \"use lethal force\" within the United States. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54926\": \"Who was testifying?\"\n },\n {\n \"54927\": \"Who is he?\"\n },\n {\n \"54928\": \"What was he testifying about?\"\n },\n {\n \"54929\": \"What type of strikes are being discusseds\"\n },\n {\n \"54930\": \"Who would they be against?\"\n },\n {\n \"54931\": \"Who questioned him?\"\n },\n {\n \"54932\": \"What's his job?\"\n },\n {\n \"54933\": \"and his political party?\"\n },\n {\n \"54934\": \"Who questioned the man testifying?\"\n },\n {\n \"54935\": \"what's his job\"\n },\n {\n \"54936\": \"where's he from\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54926\",\n \"answer\": \"Eric Holder\"\n },\n {\n \"question_id\": \"54927\",\n \"answer\": \"Attorney General\"\n },\n {\n \"question_id\": \"54928\",\n \"answer\": \"Drone strikes\"\n },\n {\n \"question_id\": \"54929\",\n \"answer\": \"against Americans\"\n },\n {\n \"question_id\": \"54930\",\n \"answer\": \"Americans on U.S. soil\"\n },\n {\n \"question_id\": \"54931\",\n \"answer\": \"the Senate Judiciary Committee\"\n },\n {\n \"question_id\": \"54932\",\n \"answer\": \"Attorney General\"\n },\n {\n \"question_id\": \"54933\",\n \"answer\": \"Republican\"\n },\n {\n \"question_id\": \"54934\",\n \"answer\": \"Sen. Ted Cruz\"\n },\n {\n \"question_id\": \"54935\",\n \"answer\": \"Senator\"\n },\n {\n \"question_id\": \"54936\",\n \"answer\": \"Texas\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Since the 19th century, the built-up area of Paris has grown far beyond its administrative borders; together with its suburbs, the whole agglomeration has a population of 10,550,350 (Jan. 2012 census). Paris' metropolitan area spans most of the Paris region and has a population of 12,341,418 (Jan. 2012 census), or one-fifth of the population of France. The administrative region covers 12,012 km² (4,638 mi²), with approximately 12 million inhabitants as of 2014, and has its own regional council and president. \n\nParis is the home of the most visited art museum in the world, the Louvre, as well as the Musée d'Orsay, noted for its collection of French Impressionist art, and the Musée National d'Art Moderne, a museum of modern and contemporary art. The notable architectural landmarks of Paris include Notre Dame Cathedral (12th century); the Sainte-Chapelle (13th century); the Eiffel Tower (1889); and the Basilica of Sacré-Cœur on Montmartre (1914). In 2014 Paris received 22.4 million visitors, making it one of the world's top tourist destinations. Paris is also known for its fashion, particularly the twice-yearly Paris Fashion Week, and for its haute cuisine, and three-star restaurants. Most of France's major universities and grandes écoles are located in Paris, as are France's major newspapers, including Le Monde, Le Figaro, and Libération.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96082\": \"How many people live in the Paris area?\"\n },\n {\n \"96083\": \"What fraction of all of France is it?\"\n },\n {\n \"96084\": \"Does the region have its own leaders?\"\n },\n {\n \"96085\": \"What's the most visited art museum worldwide?\"\n },\n {\n \"96086\": \"Which is older, Notre Dame or Sainte-Chapelle?\"\n },\n {\n \"96087\": \"By how much?\"\n },\n {\n \"96088\": \"What century was the Eiffel Tower built?\"\n },\n {\n \"96089\": \"Name another place to see paintings there.\"\n },\n {\n \"96090\": \"Which kind of art is shown there?\"\n },\n {\n \"96091\": \"What about at Mus\\u00e9e National d'Art Moderne?\"\n },\n {\n \"96092\": \"How many people travel to Paris in a year?\"\n },\n {\n \"96093\": \"Is it a top place for travelers?\"\n },\n {\n \"96094\": \"What else is it known for?\"\n },\n {\n \"96095\": \"How many times a year is the Paris Fashion Week?\"\n },\n {\n \"96096\": \"Are there no newspapers there?\"\n },\n {\n \"96097\": \"Such as?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96082\",\n \"answer\": \"12,341,418\"\n },\n {\n \"question_id\": \"96083\",\n \"answer\": \"one-fifth\"\n },\n {\n \"question_id\": \"96084\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"96085\",\n \"answer\": \"the Louvre,\"\n },\n {\n \"question_id\": \"96086\",\n \"answer\": \"notre dame\"\n },\n {\n \"question_id\": \"96087\",\n \"answer\": \"one century\"\n },\n {\n \"question_id\": \"96088\",\n \"answer\": \"19th\"\n },\n {\n \"question_id\": \"96089\",\n \"answer\": \"Musee d'Orsay\"\n },\n {\n \"question_id\": \"96090\",\n \"answer\": \"French Impressionist art,\"\n },\n {\n \"question_id\": \"96091\",\n \"answer\": \"modern and contemporary art.\"\n },\n {\n \"question_id\": \"96092\",\n \"answer\": \"22.4 million in 2014\"\n },\n {\n \"question_id\": \"96093\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96094\",\n \"answer\": \"fashion and restaurants\"\n },\n {\n \"question_id\": \"96095\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"96096\",\n \"answer\": \"There are major newspapers there\"\n },\n {\n \"question_id\": \"96097\",\n \"answer\": \"Le Monde, Le Figaro, and Lib\\u00e9ration.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Richmond is located at the fall line of the James River, 44 miles (71 km) west of Williamsburg, 66 miles (106 km) east of Charlottesville, and 98 miles (158 km) south of Washington, D.C. Surrounded by Henrico and Chesterfield counties, the city is located at the intersections of Interstate 95 and Interstate 64, and encircled by Interstate 295 and Virginia State Route 288. Major suburbs include Midlothian to the southwest, Glen Allen to the north and west, Short Pump to the west and Mechanicsville to the northeast. \n\nThe site of Richmond had been an important village of the Powhatan Confederacy, and was briefly settled by English colonists from Jamestown in 1609, and in 1610–1611. The present city of Richmond was founded in 1737. It became the capital of the Colony and Dominion of Virginia in 1780. During the Revolutionary War period, several notable events occurred in the city, including Patrick Henry's \"Give me liberty or give me death\" speech in 1775 at St. John's Church, and the passage of the Virginia Statute for Religious Freedom written by Thomas Jefferson. During the American Civil War, Richmond served as the capital of the Confederate States of America. The city entered the 20th century with one of the world's first successful electric streetcar systems, as well as a national hub of African-American commerce and culture, the Jackson Ward neighborhood.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59814\": \"when was Richmond founded?\"\n },\n {\n \"59815\": \"do they have streetcars?\"\n },\n {\n \"59816\": \"how many suburbs are named?\"\n },\n {\n \"59817\": \"which suburb is to the northeast?\"\n },\n {\n \"59818\": \"how far away from Williamsburg is Richmond?\"\n },\n {\n \"59819\": \"how many interstates are around it\"\n },\n {\n \"59820\": \"how far from Charlottesville is it?\"\n },\n {\n \"59821\": \"when was Henry's speech?\"\n },\n {\n \"59822\": \"where was Henry's speech?\"\n },\n {\n \"59823\": \"what neighborhood is a hub for African American culture?\"\n },\n {\n \"59824\": \"Were there settlers in Richmond?\"\n },\n {\n \"59825\": \"what did Thomas Jefferson pass there?\"\n },\n {\n \"59826\": \"What confederacy was Richmond important in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59814\",\n \"answer\": \"1737\"\n },\n {\n \"question_id\": \"59815\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59816\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"59817\",\n \"answer\": \"Mechanicsville\"\n },\n {\n \"question_id\": \"59818\",\n \"answer\": \"44 miles\"\n },\n {\n \"question_id\": \"59819\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"59820\",\n \"answer\": \"66 miles\"\n },\n {\n \"question_id\": \"59821\",\n \"answer\": \"s1775\"\n },\n {\n \"question_id\": \"59822\",\n \"answer\": \"St. John's Church\"\n },\n {\n \"question_id\": \"59823\",\n \"answer\": \"Jackson Ward\"\n },\n {\n \"question_id\": \"59824\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59825\",\n \"answer\": \"Va Statute of Religious Freedom\"\n },\n {\n \"question_id\": \"59826\",\n \"answer\": \"Powhatan\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nSADIE SEES A WAY \n\nSoon after Festing started for British Columbia Sadie drove over to the farm; because she had heard about the fight in the poolroom and suspected why he had gone. At first she found it difficult to break down Helen's reserve, but the latter could not resist her frank sympathy, and softening by degrees, allowed herself to be led into confidential talk. Sadie waited until she thought she understood the matter, and then remarked: \n\n\"So you stuck to your promise that you'd help me with Bob, although you saw what it would cost? Well, I wouldn't be surprised if you hated us.\" \n\n\"It wasn't altogether the promise,\" Helen replied. \"We were both highly strung, and I thought Stephen hard and prejudiced; it seemed ridiculous that he should care what the loafers said. But I don't hate you. The fault was really mine, and I want a friend.\" \n\n\"Well,\" said Sadie, \"I feel I've got to help put this trouble right, if I can.\" She paused and asked with some hesitation: \"Will Steve be away long?\" \n\n\"I don't know,\" Helen answered dejectedly. \"He hinted that he might not come until spring; I think he means to stop until he has earned enough to make him independent. That's partly my fault--I said something rash. If I hadn't had more money than him, it wouldn't have happened.\" \n\nSadie smiled. \"My having more money won't make trouble between me and Bob; he doesn't mind how much I've got. But I suppose you want Steve back?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60749\": \"Where was Festing going?\"\n },\n {\n \"60750\": \"What does Helen say she desires?\"\n },\n {\n \"60751\": \"Does Sadie think Bob minds her wealth?\"\n },\n {\n \"60752\": \"What does Sadie believe Festing had gone to see?\"\n },\n {\n \"60753\": \"Where was this fight?\"\n },\n {\n \"60754\": \"Would Helen talk to Sadie?\"\n },\n {\n \"60755\": \"Did she do so eagerly?\"\n },\n {\n \"60756\": \"Who did Helen promise she'd help with?\"\n },\n {\n \"60757\": \"Were Helen and Stephen stressed?\"\n },\n {\n \"60758\": \"Does Helen know when Steve will return?\"\n },\n {\n \"60759\": \"When does she think he will stop?\"\n },\n {\n \"60760\": \"True or False: Helen though Stephen soft and forgiving.\"\n },\n {\n \"60761\": \"What did she think him instead?\"\n },\n {\n \"60762\": \"Who said something he felt strongly about?\"\n },\n {\n \"60763\": \"Does Helen like Sadie?\"\n },\n {\n \"60764\": \"Does she hate Sadie?\"\n },\n {\n \"60765\": \"Did Helen answer sadly?\"\n },\n {\n \"60766\": \"Does Helen think she spoke foolishly to Steve?\"\n },\n {\n \"60767\": \"What could Helen not withstand from Sadie?\"\n },\n {\n \"60768\": \"Did she soften quickly?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60749\",\n \"answer\": \"British Columbia\"\n },\n {\n \"question_id\": \"60750\",\n \"answer\": \"A friend.\"\n },\n {\n \"question_id\": \"60751\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60752\",\n \"answer\": \"A fight.\"\n },\n {\n \"question_id\": \"60753\",\n \"answer\": \"the poolroom\"\n },\n {\n \"question_id\": \"60754\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60755\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60756\",\n \"answer\": \"Bob\"\n },\n {\n \"question_id\": \"60757\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60758\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60759\",\n \"answer\": \"When he has earned enough.\"\n },\n {\n \"question_id\": \"60760\",\n \"answer\": \"False.\"\n },\n {\n \"question_id\": \"60761\",\n \"answer\": \"hard and prejudiced\"\n },\n {\n \"question_id\": \"60762\",\n \"answer\": \"Loafers.\"\n },\n {\n \"question_id\": \"60763\",\n \"answer\": \"Unknown.\"\n },\n {\n \"question_id\": \"60764\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60765\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60766\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60767\",\n \"answer\": \"Her frank sympathy\"\n },\n {\n \"question_id\": \"60768\",\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 SEVEN \n\nAMY'S VALLEY OF HUMILIATION \n\n\"That boy is a perfect cyclops, isn't he?\" said Amy one day, as Laurie clattered by on horseback, with a flourish of his whip as he passed. \n\n\"How dare you say so, when he's got both his eyes? And very handsome ones they are, too,\" cried Jo, who resented any slighting remarks about her friend. \n\n\"I didn't say anything about his eyes, and I don't see why you need fire up when I admire his riding.\" \n\n\"Oh, my goodness! That little goose means a centaur, and she called him a Cyclops,\" exclaimed Jo, with a burst of laughter. \n\n\"You needn't be so rude, it's only a 'lapse of lingy', as Mr. Davis says,\" retorted Amy, finishing Jo with her Latin. \"I just wish I had a little of the money Laurie spends on that horse,\" she added, as if to herself, yet hoping her sisters would hear. \n\n\"Why?\" asked Meg kindly, for Jo had gone off in another laugh at Amy's second blunder. \n\n\"I need it so much. I'm dreadfully in debt, and it won't be my turn to have the rag money for a month.\" \n\n\"In debt, Amy? What do you mean?\" And Meg looked sober. \n\n\"Why, I owe at least a dozen pickled limes, and I can't pay them, you know, till I have money, for Marmee forbade my having anything charged at the shop.\" \n\n\"Tell me all about it. Are limes the fashion now? It used to be pricking bits of rubber to make balls.\" And Meg tried to keep her countenance, Amy looked so grave and important. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73691\": \"who was Amy speaking to?\"\n },\n {\n \"73692\": \"who meant a centaur and not a cyclops?\"\n },\n {\n \"73693\": \"who was Amy calling a cyclops?\"\n },\n {\n \"73694\": \"was that Jo's friend?\"\n },\n {\n \"73695\": \"what did Amy wish she had of Laurie's?\"\n },\n {\n \"73696\": \"why did she want it so much?\"\n },\n {\n \"73697\": \"who was curious about her debt?\"\n },\n {\n \"73698\": \"did Laurie ride by?\"\n },\n {\n \"73699\": \"what was he on?\"\n },\n {\n \"73700\": \"what did Amy want to get from the store?\"\n },\n {\n \"73701\": \"did someone forbid her from charging items at the store?\"\n },\n {\n \"73702\": \"who?\"\n },\n {\n \"73703\": \"Did Laurie have a whip?\"\n },\n {\n \"73704\": \"who thought he was handsome?\"\n },\n {\n \"73705\": \"did she like his eyes in particular?\"\n },\n {\n \"73706\": \"who were Amy's sisters?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73691\",\n \"answer\": \"Jo\"\n },\n {\n \"question_id\": \"73692\",\n \"answer\": \"Amy\"\n },\n {\n \"question_id\": \"73693\",\n \"answer\": \"Laurie\"\n },\n {\n \"question_id\": \"73694\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73695\",\n \"answer\": \"His money\"\n },\n {\n \"question_id\": \"73696\",\n \"answer\": \"She is in debt.\"\n },\n {\n \"question_id\": \"73697\",\n \"answer\": \"Meg\"\n },\n {\n \"question_id\": \"73698\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73699\",\n \"answer\": \"A horse\"\n },\n {\n \"question_id\": \"73700\",\n \"answer\": \"A dozen pickled limes\"\n },\n {\n \"question_id\": \"73701\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73702\",\n \"answer\": \"Marmee\"\n },\n {\n \"question_id\": \"73703\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73704\",\n \"answer\": \"Jo\"\n },\n {\n \"question_id\": \"73705\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73706\",\n \"answer\": \"Meg and Jo\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- 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 XVIII \n\nTHE HUNTER LOSES HIS TEMPER \n\nThe hunter, hidden near the pond of Paddy the Beaver, chuckled silently. That is to say, he laughed without making any sound. The hunter thought the warning of Mr. and Mrs. Quack by Sammy Jay was a great joke on Reddy. To tell the truth, he was very much pleased. As you know, he wanted those Ducks himself. He suspected that they would stay in that little pond for some days, and he planned to return there and shoot them after he had got Lightfoot the Deer. He wanted to get Lightfoot first, and he knew that to shoot at anything else might spoil his chance of getting a shot at Lightfoot. \n\n\"Sammy Jay did me a good turn,\" thought the hunter, \"although he doesn't know it. Reddy Fox certainly would have caught one of those Ducks had Sammy not come along just when he did. It would have been a shame to have had one of them caught by that Fox. I mean to get one, and I hope both of them, myself.\" \n\nNow when you come to think of it, it would have been a far greater shame for the hunter to have killed Mr. and Mrs. Quack than for Reddy Fox to have done so. Reddy was hunting them because he was hungry. The hunter would have shot them for sport. He didn't need them. He had plenty of other food. Reddy Fox doesn't kill just for the pleasure of killing. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3072\": \"Where did the hunter hide?\"\n },\n {\n \"3073\": \"Whose pond?\"\n },\n {\n \"3074\": \"What did he want for himself?\"\n },\n {\n \"3075\": \"Would he leave them and return?\"\n },\n {\n \"3076\": \"How long did he expect them to stay?\"\n },\n {\n \"3077\": \"When would he come back?\"\n },\n {\n \"3078\": \"Why did it need to be in that order?\"\n },\n {\n \"3079\": \"Who had helped the hunter?\"\n },\n {\n \"3080\": \"Was it intentional?\"\n },\n {\n \"3081\": \"Without him, who would have gotten a duck?\"\n },\n {\n \"3082\": \"What were the ducks' names?\"\n },\n {\n \"3083\": \"Why did Reddy want them?\"\n },\n {\n \"3084\": \"Why did the Hunter?\"\n },\n {\n \"3085\": \"Was the hunter starving?\"\n },\n {\n \"3086\": \"Whose killing would be the biggest shame?\"\n },\n {\n \"3087\": \"What kind of animal was Reddy?\"\n },\n {\n \"3088\": \"Does the hunter hope for one duck, or both?\"\n },\n {\n \"3089\": \"Who had a joke played on them?\"\n },\n {\n \"3090\": \"Was the hunter noisy while observing the ducks?\"\n },\n {\n \"3091\": \"Where would the hunter find Lightfoot?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3072\",\n \"answer\": \"near a pond\"\n },\n {\n \"question_id\": \"3073\",\n \"answer\": \"Paddy the Beaver's\"\n },\n {\n \"question_id\": \"3074\",\n \"answer\": \"the Ducks\"\n },\n {\n \"question_id\": \"3075\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3076\",\n \"answer\": \"for some days\"\n },\n {\n \"question_id\": \"3077\",\n \"answer\": \"after he had got Lightfoot the Deer\"\n },\n {\n \"question_id\": \"3078\",\n \"answer\": \"shooting at anything might spoil his chance of getting a shot at Lightfoot\"\n },\n {\n \"question_id\": \"3079\",\n \"answer\": \"Sammy Jay\"\n },\n {\n \"question_id\": \"3080\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3081\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3082\",\n \"answer\": \"Mr. and Mrs. Quack\"\n },\n {\n \"question_id\": \"3083\",\n \"answer\": \"he was hungry\"\n },\n {\n \"question_id\": \"3084\",\n \"answer\": \"for sport\"\n },\n {\n \"question_id\": \"3085\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3086\",\n \"answer\": \"the hunter\"\n },\n {\n \"question_id\": \"3087\",\n \"answer\": \"a fox\"\n },\n {\n \"question_id\": \"3088\",\n \"answer\": \"both\"\n },\n {\n \"question_id\": \"3089\",\n \"answer\": \"Reddy\"\n },\n {\n \"question_id\": \"3090\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3091\",\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 CHAPTER XX. \n\nFOLLOWING ALLEN. \n\nHal was astonished to learn from Katie McCabe that Dick Ferris was coming up the tenement stairs. \n\n\"He can't be coming here!\" exclaimed the youth. \n\n\"What shall we do if he does?\" asked McCabe. \n\n\"I don't know. Perhaps I had better hide. He may----\" \n\nAt that instant came a knock on the door. \n\n\"It's him!\" whispered Katie. \n\nAndy McCabe, the father, pointed to a closet. Hal tiptoed his way to it, and motioned for Katie to follow. The door was closed, and then Andy McCabe answered the summons. \n\nFerris stood at the door, his hair disheveled and his lips trembling. \n\n\"May I ask who lives here?\" he asked. \n\n\"My name is McCabe.\" \n\n\"Isn't there a man by the name of Macklin living here?\" went on Ferris. \n\n\"Macklin?\" repeated McCabe, slowly. \n\n\"Yes, Tommy Macklin.\" \n\n\"Not as I know on. What does he do?\" \n\n\"I don't know. I have a letter to deliver to him. So you don't know where he lives?\" \n\n\"No, sir.\" \n\n\"It's too bad. Will you please tell me what time it is?\" \n\nAndy McCabe glanced at the alarm clock that stood on the mantel-shelf. \n\n\"Quarter to six.\" \n\n\"As late as that!\" cried Ferris. \"I must hurry and catch him before six. Only quarter of an hour. Good-day, sir.\" \n\n\"Good-day.\" \n\nIn a moment Ferris was gone. McCabe closed the door, and Hal came out of the closet followed by Katie. \n\n\"What does he mean?\" questioned the man. \n\n\"I'll tell you what it means,\" said Hal. \"He is trying to prove an alibi, in case a body was found in the vat. He thinks you can remember he was here looking for Macklin at quarter to six. If that was true, how could he have helped Macklin at five o'clock?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12319\": \"who was going to hide?\"\n },\n {\n \"12320\": \"from who?\"\n },\n {\n \"12321\": \"why were they surprised?\"\n },\n {\n \"12322\": \"who is their dad?\"\n },\n {\n \"12323\": \"where did he want them to hide?\"\n },\n {\n \"12324\": \"did they run to it?\"\n },\n {\n \"12325\": \"did their father answer the door?\"\n },\n {\n \"12326\": \"who was Dick looking for?\"\n },\n {\n \"12327\": \"why?\"\n },\n {\n \"12328\": \"what was his appearance like?\"\n },\n {\n \"12329\": \"what did he ask McCabe?\"\n },\n {\n \"12330\": \"what time was it?\"\n },\n {\n \"12331\": \"Did he say anything before leaving?\"\n },\n {\n \"12332\": \"what?\"\n },\n {\n \"12333\": \"when did the kids come out of the closet?\"\n },\n {\n \"12334\": \"who came out first?\"\n },\n {\n \"12335\": \"why does he think Dick Ferris wanted an alibi?\"\n },\n {\n \"12336\": \"why?\"\n },\n {\n \"12337\": \"at what time?\"\n },\n {\n \"12338\": \"was Ferris rude?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12319\",\n \"answer\": \"Hal and Katie\"\n },\n {\n \"question_id\": \"12320\",\n \"answer\": \"Dick Ferris\"\n },\n {\n \"question_id\": \"12321\",\n \"answer\": \"He isn't allowed?\"\n },\n {\n \"question_id\": \"12322\",\n \"answer\": \"Andy McCabe\"\n },\n {\n \"question_id\": \"12323\",\n \"answer\": \"a closet.\"\n },\n {\n \"question_id\": \"12324\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12325\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12326\",\n \"answer\": \"Macklin .\"\n },\n {\n \"question_id\": \"12327\",\n \"answer\": \"to deliver a letter\"\n },\n {\n \"question_id\": \"12328\",\n \"answer\": \"disheveled and trembling\"\n },\n {\n \"question_id\": \"12329\",\n \"answer\": \"the time\"\n },\n {\n \"question_id\": \"12330\",\n \"answer\": \"\\\"Quarter to six.\\\"\"\n },\n {\n \"question_id\": \"12331\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12332\",\n \"answer\": \"\\\"I must hurry and catch him before six.\"\n },\n {\n \"question_id\": \"12333\",\n \"answer\": \"after their dad closd the door\"\n },\n {\n \"question_id\": \"12334\",\n \"answer\": \"Hal\"\n },\n {\n \"question_id\": \"12335\",\n \"answer\": \"in case a body was found in the vat\"\n },\n {\n \"question_id\": \"12336\",\n \"answer\": \"If he was looking for Macklin how could he have helped him\"\n },\n {\n \"question_id\": \"12337\",\n \"answer\": \"He thinks you can remember he was here looking for Macklin at quarter to six. If that was true, how could\"\n },\n {\n \"question_id\": \"12338\",\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 It all started when I was two years old. My parents didn't get along and got divorced . I hated that I couldn't see both of my parents at the same time. So my dad, my younger sister, Alexis, and I went to live with my grandma and grandpa. We lived with them for almost six years. My mom, on the other hand, lived with her boyfriend Michael in Oklahoma. My life was really good, but when my mom called to check up on my sister and me, I cried myself to sleep. I missed her so much. My life at my grandparents' house was really nice. And then on Friday, May 15, 2002, my grandpa died of cancer. I cried for seven days straight. My dad and his new wife were worried about me. So they took me to the doctor and they said that I was too sad and that I needed to find something happy and healthy to do during the day. I prayed to God every night saying that I was sorry for getting myself sick and I also prayed for him to take care of my grandpa. I still pray to this day. And now, at my mom's house, she has a four-year-old girl, my half-sister, Macie. And I have my step-dad , Michael, there for me. I really like Michael. He's really good to me and my sister. And at my dad's house, I have two little brothers, Blake and Justin. Blake is two years old and Justin is ten months old. I have so much to be thankful for, but I'm still looking for more.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42831\": \"where did her Mom live?\"\n },\n {\n \"42832\": \"with who?\"\n },\n {\n \"42833\": \"what was his name?\"\n },\n {\n \"42834\": \"when did grandpa die?\"\n },\n {\n \"42835\": \"what day of the week was it?\"\n },\n {\n \"42836\": \"what did grandpa die of?\"\n },\n {\n \"42837\": \"how long had the family been living with grandma and grandpa?\"\n },\n {\n \"42838\": \"how old was she when her parents got divorced?\"\n },\n {\n \"42839\": \"how often does she pray?\"\n },\n {\n \"42840\": \"what is the name of her half sister?\"\n },\n {\n \"42841\": \"and how old is she?\"\n },\n {\n \"42842\": \"how many brothers does she have?\"\n },\n {\n \"42843\": \"what are their names?\"\n },\n {\n \"42844\": \"how old is blake?\"\n },\n {\n \"42845\": \"and justin?\"\n },\n {\n \"42846\": \"what did the doctor say was needed?\"\n },\n {\n \"42847\": \"was the grandparents' house nice?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42831\",\n \"answer\": \"Oklahoma\"\n },\n {\n \"question_id\": \"42832\",\n \"answer\": \"her boyfriend\"\n },\n {\n \"question_id\": \"42833\",\n \"answer\": \"Michael\"\n },\n {\n \"question_id\": \"42834\",\n \"answer\": \"May 15, 2002\"\n },\n {\n \"question_id\": \"42835\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"42836\",\n \"answer\": \"cancer\"\n },\n {\n \"question_id\": \"42837\",\n \"answer\": \"six years\"\n },\n {\n \"question_id\": \"42838\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"42839\",\n \"answer\": \"every night\"\n },\n {\n \"question_id\": \"42840\",\n \"answer\": \"Macie\"\n },\n {\n \"question_id\": \"42841\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"42842\",\n \"answer\": \"two half-brothers\"\n },\n {\n \"question_id\": \"42843\",\n \"answer\": \"Blake and Justin\"\n },\n {\n \"question_id\": \"42844\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"42845\",\n \"answer\": \"10 months\"\n },\n {\n \"question_id\": \"42846\",\n \"answer\": \"for me to find something happy and healthy to do\"\n },\n {\n \"question_id\": \"42847\",\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) -- Concertgoers at the Indiana State Fair panicked and fled in the immediate aftermath of the concert stage collapse. But just as quickly, they returned, offering what they could during the moments that mattered. \n\n\"I'm a nurse. I'm a doctor. I'm a trained EMS responder,\" they said, according to Indiana Gov. Mitch Daniels, whose voice broke with emotion as he recalled the extraordinary efforts of ordinary people. \n\n\"The individual Hoosiers ran to the trouble, not from the trouble,\" he said, using the name for Indiana residents. \"It's the character that we associate with our state. People don't have to be paid to do it.\" \n\nThe stage collapse at the Indiana State Fair Saturday night killed five people and injured 40 others. \n\nVideo showed the blue canvas top fraying and flapping just seconds before the steel scaffolding gave way, sending a heavy bank of stage lights and metal onto fans closest to the outdoor stage. \n\nIvan Gratz, a professional videographer, witnessed the event and filmed what happened after the collapse. \n\n\"Everybody ran away from the stage,\" he said. \"And then as soon as the stage, like it was stable on the ground, everyone turned around and they ran back. And that's what was incredible in the pictures where you see the people grab a hold of the stage and they're lifting it up.\" \n\n\"Just amazing,\" said Gratz. \n\nAllison Hoehn, another concertgoer, said that many attendees rushed to help those trapped after the stage crumbled. \n\n\"We tried to get down to help, but no one was moving,\" Hoehn said. \"The storm came on so fast and the stage just snapped like a toothpick.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85858\": \"Where was the concert?\"\n },\n {\n \"85859\": \"What happened?\"\n },\n {\n \"85860\": \"Who is the governor of the state?\"\n },\n {\n \"85861\": \"Was anyone killed?\"\n },\n {\n \"85862\": \"How many?\"\n },\n {\n \"85863\": \"Was anyone hurt?\"\n },\n {\n \"85864\": \"How many?\"\n },\n {\n \"85865\": \"What day of the week was it?\"\n },\n {\n \"85866\": \"Did anyone film the event?\"\n },\n {\n \"85867\": \"What was his name?\"\n },\n {\n \"85868\": \"What was his occupation?\"\n },\n {\n \"85869\": \"Did the concertgoers help the victims?\"\n },\n {\n \"85870\": \"What caused the collapse?\"\n },\n {\n \"85871\": \"Was the weather sunny?\"\n },\n {\n \"85872\": \"Did the event have a covering?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85858\",\n \"answer\": \"the Indiana State Fair\"\n },\n {\n \"question_id\": \"85859\",\n \"answer\": \"the concert stage collapsed\"\n },\n {\n \"question_id\": \"85860\",\n \"answer\": \"Mitch Daniels\"\n },\n {\n \"question_id\": \"85861\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85862\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"85863\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85864\",\n \"answer\": \"40\"\n },\n {\n \"question_id\": \"85865\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"85866\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85867\",\n \"answer\": \"Ivan Gratz\"\n },\n {\n \"question_id\": \"85868\",\n \"answer\": \"videographer\"\n },\n {\n \"question_id\": \"85869\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85870\",\n \"answer\": \"the scaffolding gave way\"\n },\n {\n \"question_id\": \"85871\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85872\",\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 An American called Simon goes to London to see his friend, Rick. Rick tells him that his flat is on the first floor. When he gets there, Simon goes straight to the first floor of the building. But people there tells him that there is no Rick on that floor. Do you know why? In fact, English people call the first floor of a building the ground floor. The floor above the ground floor is the first floor, but Americans call it the second floor. The story shows that there are a few culture differences between English and America, though they both speak English. English people usually hide their feelings. They seldom start a dialogue with strangers . For example, on the train they often spend their time reading newspapers or books. But Americans are quite different. They're more active and easier to talk with. English people and Americans use different _ for many things. English people usually use football, eraser and mail, but Americans use soccer, rubber and post.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38987\": \"Who went to London?\"\n },\n {\n \"38988\": \"Where is he from?\"\n },\n {\n \"38989\": \"Why did he go to London?\"\n },\n {\n \"38990\": \"What is his friend's name?\"\n },\n {\n \"38991\": \"Are their differences betwenn the two cultures?\"\n },\n {\n \"38992\": \"What is one of them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38987\",\n \"answer\": \"Simon\"\n },\n {\n \"question_id\": \"38988\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"38989\",\n \"answer\": \"to see his friend\"\n },\n {\n \"question_id\": \"38990\",\n \"answer\": \"Rick\"\n },\n {\n \"question_id\": \"38991\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38992\",\n \"answer\": \"English people call the first floor of a building the ground floor\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 school night this month I walked quietly up to Alexander, my 15-year-old son, and touched his cheek gently in a manner I hoped would seem casual.A year ago he would have ignored this disturbance but now he reacted impatiently and leaned back to his computer screen. \n\nI made a mistake: breaking into my teenager's personal space. \"The average teenager has pretty strong feelings about his privacy,\" Lara Fox and her friend Hilary Frankel told me. Mr.Frankel and Mr.Fox, both 17, are the authors of Breaking the Code, a new book that seeks to bridge the generational divide between parents and adolescents.It is being promoted by its publisher as the first self-help guide by teenagers for their parents, a kind of \"Kids Are From Mars, Parents Are From Venus\" that explains the language and actions of teenagers.The girls dealt with issues including hanging out late, money, school pressures, smoking etc. \n\nPersonally, I welcome their opinions.The most common missteps in interacting with teenagers arise from the war between parents exercising their rights to know what goes on under their roof and teenagers firmly guarding their privacy.Teenagers can be quick to interpret their parents' remarks and respond with anger that masks their vulnerability . Ms Fox said, \"What we want above all is your approval.Don't forget, no matter how much we act as if we don't care what you say, we believe the things you say about us.\" \n\nNancy, a New York child-raising expert said she didn't agree with everything the authors suggested but found their arguments reasonable.\"When your kids are saying, ' _ ' there are lots of ways to respond so that they will listen and that is what the writers point out.\" \n\n\" My parents helped me see that, \" Mr.Fox told me, \" even though they used to stay out late and ride their bicycles to school, times have changed and the way parents educate children is different.These days there is a major fear factor in bringing up kids.Parents worry about their child crossing the street.\" The writers said they hoped simply to throw light on teenage thinking.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71370\": \"What's the son's name?\"\n },\n {\n \"71371\": \"How old is he?\"\n },\n {\n \"71372\": \"Did he respond to his face being touched?\"\n },\n {\n \"71373\": \"How did he react?\"\n },\n {\n \"71374\": \"Do teens care much about their privacy?\"\n },\n {\n \"71375\": \"According to who?\"\n },\n {\n \"71376\": \"And who else?\"\n },\n {\n \"71377\": \"Who are they?\"\n },\n {\n \"71378\": \"What did they write?\"\n },\n {\n \"71379\": \"Are they older ladies?\"\n },\n {\n \"71380\": \"How old are they?\"\n },\n {\n \"71381\": \"What's the book like?\"\n },\n {\n \"71382\": \"What's it about?\"\n },\n {\n \"71383\": \"For who?\"\n },\n {\n \"71384\": \"Is it helpful for them?\"\n },\n {\n \"71385\": \"How so?\"\n },\n {\n \"71386\": \"Does it tackle tough things?\"\n },\n {\n \"71387\": \"Like what?\"\n },\n {\n \"71388\": \"Do teens get mad at their mom and dad's words?\"\n },\n {\n \"71389\": \"Where's Nancy from?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"71370\",\n \"answer\": \"Alexander.\"\n },\n {\n \"question_id\": \"71371\",\n \"answer\": \"15.\"\n },\n {\n \"question_id\": \"71372\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"71373\",\n \"answer\": \"Impatiently.\"\n },\n {\n \"question_id\": \"71374\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"71375\",\n \"answer\": \"Lara Fox.\"\n },\n {\n \"question_id\": \"71376\",\n \"answer\": \"Hilary Frankel.\"\n },\n {\n \"question_id\": \"71377\",\n \"answer\": \"Authors.\"\n },\n {\n \"question_id\": \"71378\",\n \"answer\": \"Breaking the Code.\"\n },\n {\n \"question_id\": \"71379\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"71380\",\n \"answer\": \"Seventeen.\"\n },\n {\n \"question_id\": \"71381\",\n \"answer\": \"\\\"Kids Are From Mars, Parents Are From Venus\"\n },\n {\n \"question_id\": \"71382\",\n \"answer\": \"Self-help guide.\"\n },\n {\n \"question_id\": \"71383\",\n \"answer\": \"Parents.\"\n },\n {\n \"question_id\": \"71384\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"71385\",\n \"answer\": \"Explains teenagers.\"\n },\n {\n \"question_id\": \"71386\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"71387\",\n \"answer\": \"Smoking.\"\n },\n {\n \"question_id\": \"71388\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"71389\",\n \"answer\": \"New York.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- Actress Carmen Zapata, whose most visible film role was as a choir nun in \"Sister Act,\" died Sunday at her Los Angeles home. She was 86. \n\nZapata's star on the Hollywood Walk of Fame honors her six decades of work on the stage, which began in New York in 1946. \n\nHer death from heart problems was confirmed by a representative at the Bilingual Foundation of the Arts in Los Angeles, which Zapata co-founded in 1973. \n\nShe was \"an accomplished actress, translator, theater producer, and community leader who was knighted by King Juan Carlos of Spain,\" according to her biography on the group's website. \n\nZapata, a Mexican-American born in New York, founded the theater group to promote bilingual stage productions. The goal was to \"instill cultural pride to Spanish-speaking audiences, and serve as an introduction to the rich and eloquent history of the diverse Hispanic culture to English-speaking audiences,\" the website said. \n\nShe was 19 when she made her Broadway debut as a member of the chorus in \"Oklahoma.\" She initially performed under the stage name Marge Cameron at a time when discrimination against Hispanic actors was more common. \n\nHer television and film résumé is slim until the 1970s, when she began landing acting jobs on series including \"Room 222,\" \"Bonanza\" and \"McMillan & Wife.\" In 1971, she was hired for a recurring role on \"The New Dick Van Dyke Show.\" \n\nOther shows that decade in which she appears in multiple episodes include \"Adam-12,\" \"Love, American Style,\" \"Marcus Welby, M.D.,\" \"Medical Center\" and \"The Streets of San Francisco.\" She often played different characters in the same series, according to IMDB.com. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99460\": \"Where was Zapata born?\"\n },\n {\n \"99461\": \"What organization did she start?\"\n },\n {\n \"99462\": \"Did she act as a teen?\"\n },\n {\n \"99463\": \"Can you give an example?\"\n },\n {\n \"99464\": \"What name did she use at the time?\"\n },\n {\n \"99465\": \"Why?\"\n },\n {\n \"99466\": \"Is she still alive?\"\n },\n {\n \"99467\": \"When did she pass?\"\n },\n {\n \"99468\": \"Where?\"\n },\n {\n \"99469\": \"How old was she?\"\n },\n {\n \"99470\": \"What is considered her most notable movie?\"\n },\n {\n \"99471\": \"What job did her character have?\"\n },\n {\n \"99472\": \"Was she on tv too?\"\n },\n {\n \"99473\": \"What program?\"\n },\n {\n \"99474\": \"Can you give an example?\"\n },\n {\n \"99475\": \"Was that a one time role?\"\n },\n {\n \"99476\": \"Was she enshrined in Hollywood?\"\n },\n {\n \"99477\": \"Where specifically?\"\n },\n {\n \"99478\": \"For what reason?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99460\",\n \"answer\": \"in New York\"\n },\n {\n \"question_id\": \"99461\",\n \"answer\": \"the Bilingual Foundation of the Arts\"\n },\n {\n \"question_id\": \"99462\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99463\",\n \"answer\": \"she made her Broadway debut as a member of the chorus in \\\"Oklahoma.\\\"\"\n },\n {\n \"question_id\": \"99464\",\n \"answer\": \"Marge Cameron\"\n },\n {\n \"question_id\": \"99465\",\n \"answer\": \"discrimination against Hispanic actors was more common.\"\n },\n {\n \"question_id\": \"99466\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99467\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"99468\",\n \"answer\": \"at her Los Angeles home\"\n },\n {\n \"question_id\": \"99469\",\n \"answer\": \"She was 86\"\n },\n {\n \"question_id\": \"99470\",\n \"answer\": \"\\\"Sister Act,\\\"\"\n },\n {\n \"question_id\": \"99471\",\n \"answer\": \"a choir nun\"\n },\n {\n \"question_id\": \"99472\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99473\",\n \"answer\": \"Many programs\"\n },\n {\n \"question_id\": \"99474\",\n \"answer\": \"\\\"The New Dick Van Dyke Show.\\\"\"\n },\n {\n \"question_id\": \"99475\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99476\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99477\",\n \"answer\": \"the Hollywood Walk of Fame\"\n },\n {\n \"question_id\": \"99478\",\n \"answer\": \"her six decades of work on the stage\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 13: Bush Rangers. \n\nAs soon as it became dark, the journey was renewed. \n\n\"Now, Jim, you must keep your eyes well open,\" Reuben said. \"There is no saying when we may come upon them, now.\" \n\n\"I tink dey not berry far off, sah. Dose sheep too tired to go far. Black fellow glad to stop and rest, when he see no one coming after him. \n\n\"De ground more up and down here. Must no make noise. May come upon dem sudden.\" \n\nIt was nearly midnight when Jim suddenly halted. \n\n\"What is it, Jim?\" Reuben asked, in a low voice. \n\nJim stood sniffing the air. \n\n\"Me smell fire, captain.\" \n\nReuben sniffed the air, but shook his head. \n\n\"I don't smell anything, Jim.\" \n\n\"I smell him, sah, sure enough; not very close, perhaps, but in de air.\" \n\n\"What is it, Captain Whitney?\" Mr. Blount asked, as he came forward and joined them. \n\n\"Jim says he smells fire, but I can't smell it.\" \n\n\"Oh, you can trust Jim's nose,\" the settler said. \"It is wonderful how keen is the scent of these natives. They are like dogs in that respect; and can perceive the smell of a fire, when the wind brings it down to them, miles away.\" \n\n\"Dis way now, sah,\" Jim said, turning off to the left, at right angles to the course which they had been pursuing. \"Smell come down the wind, dat's sartin. We follow him far enough, we sure to catch dem.\" \n\nFor fully two miles, Reuben followed the black without speaking. Then he said: \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71667\": \"What does the settler compare Jim to?\"\n },\n {\n \"71668\": \"What characteristic is similar to a dog?\"\n },\n {\n \"71669\": \"What race is Jim?\"\n },\n {\n \"71670\": \"Are they looking for someone?\"\n },\n {\n \"71671\": \"Do you know who?\"\n },\n {\n \"71672\": \"What time is it when Jim smells fire?\"\n },\n {\n \"71673\": \"What does he do?\"\n },\n {\n \"71674\": \"Does Reuben agree?\"\n },\n {\n \"71675\": \"Who tells him Jim is right?\"\n },\n {\n \"71676\": \"Who will take a break when they feel safe?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"71667\",\n \"answer\": \"dogs\"\n },\n {\n \"question_id\": \"71668\",\n \"answer\": \"keen sense of smell\"\n },\n {\n \"question_id\": \"71669\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"71670\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71671\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"71672\",\n \"answer\": \"It was nearly midnight\"\n },\n {\n \"question_id\": \"71673\",\n \"answer\": \"suddenly halted.\"\n },\n {\n \"question_id\": \"71674\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71675\",\n \"answer\": \"Mr. Blount\"\n },\n {\n \"question_id\": \"71676\",\n \"answer\": \"Black fellow\"\n }\n]\n"
}
] |
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