conversations
listlengths 3
3
|
|---|
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Police in Texas used a Taser on a 42-year-old pastor and pepper spray to disperse members of his church after police said the pastor interfered with a traffic stop. \n\nJose Moran was arrested early Wednesday morning after interfering with the duties of a public servant in the parking lot of a Webster, Texas, building that is being remodeled for the Iglesias Profetica Peniel Church, Webster police said in a written statement. \n\nMoran's son, Omar, said his father had been trying to help. He added that his father has heart problems. \n\nMoran approached an officer who was handling a traffic stop in the church's parking lot on Wednesday morning, police said. \n\nMoran identified himself as the church's pastor and began yelling at the officer, police said. \n\nThe officer told Moran to leave several times, but Moran did not, police said. The officer then tried to arrest him. But Moran pushed the officer and ran into the church building, police said. \n\nMoran's son said after his father asked the officer if he could help, the officer began yelling. The son said his father went back inside the church. \n\nThe officer followed him and kicked in the church door, he said. The pastor came outside, and a second officer used his Taser twice on the pastor, the younger Moran said. \n\nThe son's account differs from the police version of events. Police said Moran emerged from the church building with dozens of other people who subsequently surrounded the officer. \n\nThe officer used pepper spray to disperse the crowd, the statement said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35608\": \"What state did this happen in?\"\n },\n {\n \"35609\": \"Was it at a high school?\"\n },\n {\n \"35610\": \"Where did it occur?\"\n },\n {\n \"35611\": \"Of what location?\"\n },\n {\n \"35612\": \"Who was the victim?\"\n },\n {\n \"35613\": \"Was he injured?\"\n },\n {\n \"35614\": \"Who did this to him?\"\n },\n {\n \"35615\": \"Who from his family was with him?\"\n },\n {\n \"35616\": \"Was it just him and Omar?\"\n },\n {\n \"35617\": \"How many people were with them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35608\",\n \"answer\": \"Texas\"\n },\n {\n \"question_id\": \"35609\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35610\",\n \"answer\": \"Parking Lot\"\n },\n {\n \"question_id\": \"35611\",\n \"answer\": \"Building for the Iglesias Profetica Peniel Church\"\n },\n {\n \"question_id\": \"35612\",\n \"answer\": \"Jose Moran\"\n },\n {\n \"question_id\": \"35613\",\n \"answer\": \"He was tasered\"\n },\n {\n \"question_id\": \"35614\",\n \"answer\": \"Police\"\n },\n {\n \"question_id\": \"35615\",\n \"answer\": \"Omar\"\n },\n {\n \"question_id\": \"35616\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35617\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- 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 WASHINGTON (CNN) -- Eleven-year-old Carl Joseph Walker-Hoover liked football, basketball and playing video games with his little brother. \n\nRep. Carolyn McCarthy says the effects of bullying are becoming more severe. \n\nBut on April 6, after enduring what his mother called \"relentless\" bullying at school, Carl hanged himself with an extension cord in the family's Springfield, Massachusetts, home. \n\n\"What could make a child his age despair so much that he would take his own life? That question haunts me to this day, and I will probably never know the answer,\" Sirdeaner Walker said in a House Education and Labor Committee hearing on school bullying. \n\n\"He had just started secondary school in September, and we had high hopes,\" she said. \"But I knew something was wrong, almost from the start.\" Watch Sirdeaner Walker describe finding her son's body » \n\nHe didn't want to say at first, she said, but reluctantly told her of classmates who called him names, \"saying he acted gay and calling him faggot,\" Walker said. \n\n\"Hearing that, my heart just broke,\" she said. \n\nRep. Carolyn McCarthy, D-New York, said the emotional and physical effects of bullying are becoming more severe and that the acts of bullying can continue outside school. \n\nAccording to the National Youth Violence Prevention Resource Center, about 30 percent of school-aged children in the United States are estimated to be involved in bullying, as either a bully or the target of a bully. \n\nSteve Riach, the founder of Heart of a Champion Foundation -- a nonprofit organization that says it offers educators an \"innovative and effective approach to developing character in the lives of their students\" -- said his organization has learned that students recognize that school safety cannot be accomplished only with security guards and metal detectors. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52220\": \"How many school kids are part of bullying in the U.S.?\"\n },\n {\n \"52221\": \"What role can a kid play?\"\n },\n {\n \"52222\": \"Who put that number out?\"\n },\n {\n \"52223\": \"Who started the Heart of a Champion Foundation?\"\n },\n {\n \"52224\": \"What two things does he say is not enough to make schools safe?\"\n },\n {\n \"52225\": \"How old was Carl Joseph Walker-Hoover?\"\n },\n {\n \"52226\": \"What did he begin in the fall?\"\n },\n {\n \"52227\": \"Did it go well?\"\n },\n {\n \"52228\": \"What did kids in his class do\"\n },\n {\n \"52229\": \"like what?\"\n },\n {\n \"52230\": \"What happened on April 6th?\"\n },\n {\n \"52231\": \"With what?\"\n },\n {\n \"52232\": \"Where?\"\n },\n {\n \"52233\": \"Where did he live?\"\n },\n {\n \"52234\": \"Did he have siblings?\"\n },\n {\n \"52235\": \"Which sex?\"\n },\n {\n \"52236\": \"did he like sports?\"\n },\n {\n \"52237\": \"Which ones?\"\n },\n {\n \"52238\": \"Did he have a hobby?\"\n },\n {\n \"52239\": \"What is his mom's name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52220\",\n \"answer\": \"about 30 percent\"\n },\n {\n \"question_id\": \"52221\",\n \"answer\": \"a bully or the target\"\n },\n {\n \"question_id\": \"52222\",\n \"answer\": \"National Youth Violence Prevention Resource Center\"\n },\n {\n \"question_id\": \"52223\",\n \"answer\": \"Steve Riach\"\n },\n {\n \"question_id\": \"52224\",\n \"answer\": \"security guards and metal detectors\"\n },\n {\n \"question_id\": \"52225\",\n \"answer\": \"eleven\"\n },\n {\n \"question_id\": \"52226\",\n \"answer\": \"secondary school\"\n },\n {\n \"question_id\": \"52227\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52228\",\n \"answer\": \"called him names\"\n },\n {\n \"question_id\": \"52229\",\n \"answer\": \"faggot\"\n },\n {\n \"question_id\": \"52230\",\n \"answer\": \"he hanged himself\"\n },\n {\n \"question_id\": \"52231\",\n \"answer\": \"an extension cord\"\n },\n {\n \"question_id\": \"52232\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"52233\",\n \"answer\": \"Springfield, Massachusetts\"\n },\n {\n \"question_id\": \"52234\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52235\",\n \"answer\": \"male\"\n },\n {\n \"question_id\": \"52236\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52237\",\n \"answer\": \"football and basketball\"\n },\n {\n \"question_id\": \"52238\",\n \"answer\": \"playing video games\"\n },\n {\n \"question_id\": \"52239\",\n \"answer\": \"Sirdeaner Walker\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXV \n\nMr. Oscar Fischer and his friend, Senator Theodore Hastings, stood side by side, a week later, in the bar of one of the most fashionable of New York hotels. They were passing away the few minutes before Pamela and her aunt would be ready to join them in the dining room above. \n\n\"Very little news, I fancy,\" Hastings remarked, glancing at the tape which was passing through his companion's fingers. \n\n\"Nothing--of any importance,\" Fischer replied. \"Nothing.\" \n\nThe older man glanced searchingly at his companion, the change in whose tone was ominous. Fischer was standing with the tape in his hand, his eyes glued upon a certain paragraph. The Senator took out his eyeglasses and looked over his friend's shoulder. \n\n\"What's this?\" he demanded. \"Eh?\" \n\nFischer was fighting a great battle and fighting it well. \n\n\"Something wrong, apparently, with Frank Roughton,\" he observed; \"an old college friend of mine. They made him Governor of----only last year.\" \n\nHastings read the item thoughtfully. \n\nGovernor Roughton this morning tendered his resignation as Governor of the State of----. We understand that it was at once accepted. Numerous arrests have taken place with reference to the great explosion at the Bembridge powder factory. \n\n\"Looks rather fishy, that,\" Hastings observed thoughtfully. \n\n\"I'm sorry for Roughton,\" Fischer declared. \"He was a perfectly straight man, and I am sure he has done his best.\" \n\n\"Great friend of yours?\" the other asked curiously. \n\n\"We were intimately acquainted,\" was the brief answer. \n\nThe two men finished their cocktails in silence. On their way upstairs the Senator took his companion's arm. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75654\": \"What was the news that morning?\"\n },\n {\n \"75655\": \"Who was Oscar Fischer's friend?\"\n },\n {\n \"75656\": \"Who would be joining them?\"\n },\n {\n \"75657\": \"Where they in the state of Maine?\"\n },\n {\n \"75658\": \"What state were they in?\"\n },\n {\n \"75659\": \"Who was Theodore Hastings?\"\n },\n {\n \"75660\": \"What did Fischer think about Governor Roughton?\"\n },\n {\n \"75661\": \"Did he know him well?\"\n },\n {\n \"75662\": \"Were any arrests made?\"\n },\n {\n \"75663\": \"Did Theodore Hastings have good eye sight?\"\n },\n {\n \"75664\": \"What were the two men doing?\"\n },\n {\n \"75665\": \"When did Roughton become governor?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75654\",\n \"answer\": \"Governor Roughton tendered his resignation\"\n },\n {\n \"question_id\": \"75655\",\n \"answer\": \"Theodore Hastings\"\n },\n {\n \"question_id\": \"75656\",\n \"answer\": \"Pamela and her aunt\"\n },\n {\n \"question_id\": \"75657\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"75658\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"75659\",\n \"answer\": \"Senator\"\n },\n {\n \"question_id\": \"75660\",\n \"answer\": \"He was a perfectly straight man\"\n },\n {\n \"question_id\": \"75661\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"75662\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"75663\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"75664\",\n \"answer\": \"finishing cocktails\"\n },\n {\n \"question_id\": \"75665\",\n \"answer\": \"last 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 Boston (CNN) -- To see Mery Daniel today is to see how far she has come. Walking on her new prosthetic leg without crutches is a huge accomplishment, but to see Daniel ride 26 miles on a hand cycle underscores the tremendous progress she's made in the five months since the Boston Marathon bombings. \n\n\"This is the biggest challenge I've faced since the bombing,\" the 31-year-old Haitian immigrant said, referring to her participation in a recent ride from Waltham, Massachusetts, to Gillette Stadium in Foxboro. She beamed as her 5-year old daughter, Ciarra, and husband, Richardson, ran to offer hugs and congratulations. \n\n\"It's great,\" Richardson says proudly. \"It's very encouraging to see -- despite what she's been through.\" \n\nApril 15 was the day that profoundly changed Mery's life and that of so many others. \n\nThree people were killed and more than 250 were injured when a pair of bombs exploded just seconds apart near the finish line of the Boston Marathon. \n\nSuspect Tamerlan Tsarnaev was killed four days later in a standoff with police. His younger brother, Dzhokhar, faces charges that could bring a life sentence or the death penalty if he is convicted. He has pleaded not guilty. \n\nMore than 14 people lost limbs in the bombing. \n\nMery lost her left leg; amputated above the knee. Her right leg was spared, but it was severely mangled and she lost a significant portion of her calf. The team at Boston's Spaulding Rehabilitation Hospital oversees the therapy for many of the new amputees. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91155\": \"How many lost limbs?\"\n },\n {\n \"91156\": \"Who lost a leg?\"\n },\n {\n \"91157\": \"Which one?\"\n },\n {\n \"91158\": \"Where was it cut off?\"\n },\n {\n \"91159\": \"Was the right leg amputated?\"\n },\n {\n \"91160\": \"Is it okay?\"\n },\n {\n \"91161\": \"What about her calf?\"\n },\n {\n \"91162\": \"Where was she treated?\"\n },\n {\n \"91163\": \"In what city?\"\n },\n {\n \"91164\": \"Did others get treatment there?\"\n },\n {\n \"91165\": \"What day did it happen?\"\n },\n {\n \"91166\": \"On what day?\"\n },\n {\n \"91167\": \"How old is she?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91155\",\n \"answer\": \"More than 14\"\n },\n {\n \"question_id\": \"91156\",\n \"answer\": \"Mery Daniel\"\n },\n {\n \"question_id\": \"91157\",\n \"answer\": \"left\"\n },\n {\n \"question_id\": \"91158\",\n \"answer\": \"above the knee\"\n },\n {\n \"question_id\": \"91159\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"91160\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"91161\",\n \"answer\": \"lost a significant portion of her calf.\"\n },\n {\n \"question_id\": \"91162\",\n \"answer\": \"Spaulding Rehabilitation Hospital\"\n },\n {\n \"question_id\": \"91163\",\n \"answer\": \"Boston\"\n },\n {\n \"question_id\": \"91164\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91165\",\n \"answer\": \"The Boston Marathon\"\n },\n {\n \"question_id\": \"91166\",\n \"answer\": \"April 15\"\n },\n {\n \"question_id\": \"91167\",\n \"answer\": \"\\\"31\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Austin, Texas (CNN) -- Podcasting saved Kevin Smith's career. \n\nSo said the filmmaker (and you can throw a few slashes after that title these days) at the South by Southwest festival here on Monday during a panel called, appropriately, \"The Business of Kevin Smith.\" \n\n\"I had no idea, but that would become the f---ing center of everything I'm doing now,\" said Smith, who broke into moves after making 1994's indie hit \"Clerks\" for roughly $25,000. \n\n\"The ultimate freedom that allowed me to walk away from the 'heroin' [money] of the movie business -- what gave me the strength to walk away -- was [expletive] podcasting.\" \n\nSmith said he was working on \"Zach and Miri Make a Porno,\" which he wrote and directed, when he realized the passion that led him to make movies like \"Dogma\" and \"Chasing Amy\" was gone. \n\n\"For a while I became a filmmaker and for a while a professional director,\" he said. \"But I really felt like I'm an artist.\" \n\nSmith said he decided to take advantage of his access to celebrities and gift of gab to launch a new project. And he deployed a technique he said has always served him well: do what you love and what you're good at, then figure out how to make money doing it. \n\nAnd that led to \"SModcast,\" a weekly podcast that he and friend/co-producer Scott Mosier launched in 2007 and do to this day. \n\nIt was free. But as its online audience grew, the opportunities to make money arose. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43012\": \"What was the event called?\"\n },\n {\n \"43013\": \"Where was Kevin Smith speaking?\"\n },\n {\n \"43014\": \"What was it called?\"\n },\n {\n \"43015\": \"What's his podcast called?\"\n },\n {\n \"43016\": \"How often is it published?\"\n },\n {\n \"43017\": \"Who else is on it?\"\n },\n {\n \"43018\": \"When did it start?\"\n },\n {\n \"43019\": \"Does he make money on it?\"\n },\n {\n \"43020\": \"How?\"\n },\n {\n \"43021\": \"What did he make use of to start it?\"\n },\n {\n \"43022\": \"Anything else?\"\n },\n {\n \"43023\": \"Is this what let him get away from the movie industry?\"\n },\n {\n \"43024\": \"What does he think of himself as?\"\n },\n {\n \"43025\": \"What did his first movie cost?\"\n },\n {\n \"43026\": \"What was it called?\"\n },\n {\n \"43027\": \"When was it made?\"\n },\n {\n \"43028\": \"What did he write and direct?\"\n },\n {\n \"43029\": \"Where did this festival take place?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43012\",\n \"answer\": \"South by Southwest\"\n },\n {\n \"question_id\": \"43013\",\n \"answer\": \"On a panel\"\n },\n {\n \"question_id\": \"43014\",\n \"answer\": \"\\\"The Business of Kevin Smith.\\\"\"\n },\n {\n \"question_id\": \"43015\",\n \"answer\": \"SModcast\"\n },\n {\n \"question_id\": \"43016\",\n \"answer\": \"Weekly\"\n },\n {\n \"question_id\": \"43017\",\n \"answer\": \"Scott Mosier\"\n },\n {\n \"question_id\": \"43018\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"43019\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43020\",\n \"answer\": \"Opportunities to make money arose.\"\n },\n {\n \"question_id\": \"43021\",\n \"answer\": \"Access to celebrities\"\n },\n {\n \"question_id\": \"43022\",\n \"answer\": \"His gift of gab\"\n },\n {\n \"question_id\": \"43023\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43024\",\n \"answer\": \"An artist\"\n },\n {\n \"question_id\": \"43025\",\n \"answer\": \"$25,000\"\n },\n {\n \"question_id\": \"43026\",\n \"answer\": \"Clerks\"\n },\n {\n \"question_id\": \"43027\",\n \"answer\": \"1994\"\n },\n {\n \"question_id\": \"43028\",\n \"answer\": \"Zach and Miri Make a Porno\"\n },\n {\n \"question_id\": \"43029\",\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 A software release life cycle is the sum of the stages of development and maturity for a piece of computer software: ranging from its initial development to its eventual release, and including updated versions of the released version to help improve software or fix software bugs still present in the software. \n\nUsage of the \"alpha/beta\" test terminology originated at IBM. As long ago as the 1950s (and probably earlier), IBM used similar terminology for their hardware development. \"A\" test was the verification of a new product before public announcement. \"B\" test was the verification before releasing the product to be manufactured. \"C\" test was the final test before general availability of the product. As software became a significant part of IBM's offerings, the alpha test terminology was used to denote the pre-announcement test and beta test was used to show product readiness for general availability. Martin Belsky, a manager on some of IBM's earlier software projects claimed to have invented the terminology. IBM dropped the alpha/beta terminology during the 1960s, but by then it had received fairly wide notice. The usage of \"beta test\" to refer to testing done by customers was not done in IBM. Rather, IBM used the term \"field test\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67715\": \"which company came up with alpha/beta terms?\"\n },\n {\n \"67716\": \"recently?\"\n },\n {\n \"67717\": \"did they use different terms for their hardware?\"\n },\n {\n \"67718\": \"were A test products ready for sale?\"\n },\n {\n \"67719\": \"What term describes differen parts of program development?\"\n },\n {\n \"67720\": \"what are some of the milestones?\"\n },\n {\n \"67721\": \"how ready was an alpha product at IBM?\"\n },\n {\n \"67722\": \"and beta?\"\n },\n {\n \"67723\": \"why would updates be given to software after release?\"\n },\n {\n \"67724\": \"is that part of it's life cycle?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67715\",\n \"answer\": \"IBM\"\n },\n {\n \"question_id\": \"67716\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"67717\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"67718\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"67719\",\n \"answer\": \"A software release life cycle\"\n },\n {\n \"question_id\": \"67720\",\n \"answer\": \"initial development to eventual release\"\n },\n {\n \"question_id\": \"67721\",\n \"answer\": \"pre-announcement\"\n },\n {\n \"question_id\": \"67722\",\n \"answer\": \"general availability.\"\n },\n {\n \"question_id\": \"67723\",\n \"answer\": \"to help improve software\"\n },\n {\n \"question_id\": \"67724\",\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 Henry was an office worker in a big city. He worked very hard and enjoyed traveling in his holidays. He usually went to the seaside, but one year he saw an advertisement in a newspaper. \"Enjoy country life. Spend a few weeks at west hill farm. good food., fresh air, horse riding,Walking,fishing, cheap and interesting.\" \"This sounds a good idea,\" He thought. \"I'll spend a month at west hill farm. I think I can enjoy horse riding, walking and fishing. They'll make a change from sitting by the seaside and swimming.\" He wrote to the farmer. In the letter he said that he would like to spend all of July there. Then on the first of July, he left for west hill farm.But four days later, he returned home. \"What was wrong with west hill farm?\" His best friend, Ed, asked him. \"Didn't you enjoy country life?\" \"Country life was very good,\" Henry said. \"But there was another problem.\" \"Oh. what?\" \"Well,\" he said, \"The first day I was there a sheep died, and we had roast mutton for dinner.\" \"What's wrong with that?\" Ed asked. \"Fresh meat is the best.\" \"I know, but on the second day a cow died, and we had roast beef for dinner.\" \"Lucky you!\" \"You don't understand,\" Henry said. \"On the third day a pig died and we had roast pork for dinner.\" \"A different meat every day,\" Ed said loudly, \" And you are ing!\" \"Let me finish,\" Henry said. \"On the fourth day the farmer died, and i didn't dare stay for dinner!\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77576\": \"who is the main character?\"\n },\n {\n \"77577\": \"Did he take a trip?\"\n },\n {\n \"77578\": \"where did he go?\"\n },\n {\n \"77579\": \"did he normally go to the countryside on holiday?\"\n },\n {\n \"77580\": \"where did he normally go?\"\n },\n {\n \"77581\": \"what did the generally do on holiday?\"\n },\n {\n \"77582\": \"what was there to do in the countryside?\"\n },\n {\n \"77583\": \"who was his pal?\"\n },\n {\n \"77584\": \"was he a casual acquaintance?\"\n },\n {\n \"77585\": \"how close were they?\"\n },\n {\n \"77586\": \"when did the main character go on holiday?\"\n },\n {\n \"77587\": \"did he plan a short trip?\"\n },\n {\n \"77588\": \"how long was the trip supposed to be?\"\n },\n {\n \"77589\": \"was he cut his holiday short?\"\n },\n {\n \"77590\": \"how long was his trip?\"\n },\n {\n \"77591\": \"what did he eat for his main meal on the first day?\"\n },\n {\n \"77592\": \"and the second?\"\n },\n {\n \"77593\": \"and the third?\"\n },\n {\n \"77594\": \"did he eat a main meal on the fourth day?\"\n },\n {\n \"77595\": \"why not?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77576\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"77577\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77578\",\n \"answer\": \"to west hill farm\"\n },\n {\n \"question_id\": \"77579\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77580\",\n \"answer\": \"the seaside\"\n },\n {\n \"question_id\": \"77581\",\n \"answer\": \"sit by the seaside and swim\"\n },\n {\n \"question_id\": \"77582\",\n \"answer\": \"horse riding,Walking,fishing\"\n },\n {\n \"question_id\": \"77583\",\n \"answer\": \"Ed\"\n },\n {\n \"question_id\": \"77584\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77585\",\n \"answer\": \"Ed was his best friend\"\n },\n {\n \"question_id\": \"77586\",\n \"answer\": \"on the first of July\"\n },\n {\n \"question_id\": \"77587\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77588\",\n \"answer\": \"a month\"\n },\n {\n \"question_id\": \"77589\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77590\",\n \"answer\": \"four days\"\n },\n {\n \"question_id\": \"77591\",\n \"answer\": \"roast mutton\"\n },\n {\n \"question_id\": \"77592\",\n \"answer\": \"roast beef\"\n },\n {\n \"question_id\": \"77593\",\n \"answer\": \"roast pork\"\n },\n {\n \"question_id\": \"77594\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77595\",\n \"answer\": \"the farmer died\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Four days after suffering a humbling defeat to Simona Halep, Serena Williams turned the tables on the Romanian to win a fifth WTA Finals title with a crushing straight sets 6-3 6-0 victory in Singapore Sunday. \n\nWilliams had called her 6-2 6-0 reverse in round-robin group play Wednesday \"embarrassing\" and she set about putting the record straight in the title match. \n\nFourth-ranked Halep began where she left off to take an early 2-1 lead with a break of service, but this was a very different Williams on the other side of the net. \n\nThe world number one immediately broke back and a further break to lead 5-3 was the start of eight games in a row without reply. \n\nA total of 26 winners flowed from the racket of the 33-year-old American veteran -- who was winning the end of season crown for the third straight year -- the first player since Monica Seles in 1992 to achieve the feat. \n\n\"She was playing so well at the beginning and I told myself to just relax and once I did that I started playing better and making my shots,\" Williams told the official WTA website. \n\n\"I lost to her a couple of days ago so I knew she was capable of playing really well, but I knew I had to play better if I wanted to win. \n\nWilliams' participation in the WTA Finals had been in doubt after she pulled out of a warmup tournament in China with a knee injury. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66761\": \"Who is the article about?\"\n },\n {\n \"66762\": \"Who was she paired with in the finals?\"\n },\n {\n \"66763\": \"Where was the opponent from?\"\n },\n {\n \"66764\": \"Was this the first game she had against this opponent?\"\n },\n {\n \"66765\": \"Did she win both matches?\"\n },\n {\n \"66766\": \"What was her opponent ranked?\"\n },\n {\n \"66767\": \"Who won the final game?\"\n },\n {\n \"66768\": \"How many wins did she have?\"\n },\n {\n \"66769\": \"Did she do something special?\"\n },\n {\n \"66770\": \"What?\"\n },\n {\n \"66771\": \"When was the last time this was done?\"\n },\n {\n \"66772\": \"Where is she from?\"\n },\n {\n \"66773\": \"Did she use the same strategy for both games?\"\n },\n {\n \"66774\": \"What did she do differently?\"\n },\n {\n \"66775\": \"What was the name of the competition she was in?\"\n },\n {\n \"66776\": \"Where did it happen?\"\n },\n {\n \"66777\": \"Did people believe that she would make it to the competition?\"\n },\n {\n \"66778\": \"Why?\"\n },\n {\n \"66779\": \"Where was this competition?\"\n },\n {\n \"66780\": \"Why did she leave it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66761\",\n \"answer\": \"Serena Williams\"\n },\n {\n \"question_id\": \"66762\",\n \"answer\": \"Simona Halep\"\n },\n {\n \"question_id\": \"66763\",\n \"answer\": \"Romania\"\n },\n {\n \"question_id\": \"66764\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66765\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66766\",\n \"answer\": \"Fourth\"\n },\n {\n \"question_id\": \"66767\",\n \"answer\": \"Serena Williams\"\n },\n {\n \"question_id\": \"66768\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"66769\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"66770\",\n \"answer\": \"Winning the end of season crown for the third straight year\"\n },\n {\n \"question_id\": \"66771\",\n \"answer\": \"1992\"\n },\n {\n \"question_id\": \"66772\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"66773\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66774\",\n \"answer\": \"She told herself to just relax and as a result started playing better and making her shots\"\n },\n {\n \"question_id\": \"66775\",\n \"answer\": \"WTA Finals\"\n },\n {\n \"question_id\": \"66776\",\n \"answer\": \"Singapore\"\n },\n {\n \"question_id\": \"66777\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66778\",\n \"answer\": \"She pulled out of a warmup tournament\"\n },\n {\n \"question_id\": \"66779\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"66780\",\n \"answer\": \"Knee injury\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Long Beach is a city on the Pacific Coast of the United States, within the Greater Los Angeles area of Southern California. As of 2010, its population was 462,257. It is the 36th most populous city in the United States and the 7th most populous in California. Long Beach is the second largest city in the Los Angeles metropolitan area, and the third largest in Southern California behind Los Angeles and San Diego. \n\nThe Port of Long Beach is the second busiest container port in the United States and is among the world's largest shipping ports. The city also maintains a progressively declining oil industry with minor wells located both directly beneath the city as well as offshore. Manufacturing sectors include those in aircraft, automotive parts, electronic equipment, audiovisual equipment, petrochemicals, precision metals and home furnishings. \n\nLong Beach lies in the southeastern corner of Los Angeles County and borders Orange County. Downtown Long Beach is approximately south of downtown Los Angeles, though the two cities share an official border for several miles. \n\nIndigenous people have lived in coastal Southern California for over 10,000 years, and several successive cultures have inhabited the present-day area of Long Beach. By the 16th-century arrival of Spanish explorers, the dominant group were the Tongva people. They had at least three major settlements within the present-day city. \"Tevaaxa'anga\" was an inland settlement near the Los Angeles River, while \"Ahwaanga\" and \"Povuu'nga\" were coastal villages. Along with other Tongva villages, they were forced to relocate in the mid-19th century due to missionization, political change, and a drastic drop in population from exposure to European diseases.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31948\": \"When did Spanish explorers get to Long Beach?\"\n },\n {\n \"31949\": \"Who were the main people living there at that time?\"\n },\n {\n \"31950\": \"How many of their own large areas did they reside in?\"\n },\n {\n \"31951\": \"Which one was inland?\"\n },\n {\n \"31952\": \"What happened to the Tongva people?\"\n },\n {\n \"31953\": \"What's one reason for that?\"\n },\n {\n \"31954\": \"Which reason was do to outsiders from another continent?\"\n },\n {\n \"31955\": \"Which coast is Long Beach on?\"\n },\n {\n \"31956\": \"Which state is it in?\"\n },\n {\n \"31957\": \"Where does it rank in population in California?\"\n },\n {\n \"31958\": \"And in size within the Los Angeles area?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"31948\",\n \"answer\": \"16th-century\"\n },\n {\n \"question_id\": \"31949\",\n \"answer\": \"the Tongva people\"\n },\n {\n \"question_id\": \"31950\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"31951\",\n \"answer\": \"\\\"Tevaaxa'anga\\\"\"\n },\n {\n \"question_id\": \"31952\",\n \"answer\": \"they were forced to relocate in the mid-19th century\"\n },\n {\n \"question_id\": \"31953\",\n \"answer\": \"missionization\"\n },\n {\n \"question_id\": \"31954\",\n \"answer\": \"exposure to European diseases\"\n },\n {\n \"question_id\": \"31955\",\n \"answer\": \"southeastern corner\"\n },\n {\n \"question_id\": \"31956\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"31957\",\n \"answer\": \"7th most\"\n },\n {\n \"question_id\": \"31958\",\n \"answer\": \"second largest\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n If you want to get a new cell phone number, don't forget to bring your ID with you . As of September 1, people have to register with their ID to buy a new cell phone number. You can show your ID card orhukou, but student ID's won't work. If you already have a cell phone number, it is better to register it before 2013. The new rules are meant to prevent junk messages and fraud through cell phones. A cell phone user in China on average received 43.3 messages a week in the first half of this year. According to reports, about 12 of those were junk messages. In a survey, about 74.5 percent of users said they have received fraudulent messages. If all people register their cell phone number with ID information, it will be easier for police to find the people behind those messages. Situations in other countries Because cell phone are getting more and more popular, many countries have made stricter cell phone rules. Countries like India, Japan, Australia, and Singapore all ask users to register their ID information. Ulrich Mller is a German living in Beijing. \"In Germany, you have to show your ID when you buy a cell phone card,\" he said. \"The rules have been there for a long time. Most people know about it.\" Linda van der Horst is a student at Peking University. She said that in the Netherlands ,people have to show ID information and bank account information to buy a cell phone card.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87897\": \"What do do if you need to get a new cell phone number?\"\n },\n {\n \"87898\": \"As of what date would it be effective?\"\n },\n {\n \"87899\": \"And if you already have a cell number when do you register?\"\n },\n {\n \"87900\": \"What are the new rules trying to do?\"\n },\n {\n \"87901\": \"and what else?\"\n },\n {\n \"87902\": \"About how many percentage of users have received fraud messages?\"\n },\n {\n \"87903\": \"So if the cell phone has an id information would it be easier to catch anyone?\"\n },\n {\n \"87904\": \"Are there other countries who already practice this?\"\n },\n {\n \"87905\": \"Name two for me?\"\n },\n {\n \"87906\": \"ANother two please?\"\n },\n {\n \"87907\": \"What about in Germany?\"\n },\n {\n \"87908\": \"Who is Linda van der Horst?\"\n },\n {\n \"87909\": \"Where?\"\n },\n {\n \"87910\": \"Where exactly is this university?\"\n },\n {\n \"87911\": \"What do people have to show there to buy a cell phone card?\"\n },\n {\n \"87912\": \"and what else?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"87897\",\n \"answer\": \"your ID\"\n },\n {\n \"question_id\": \"87898\",\n \"answer\": \"September 1\"\n },\n {\n \"question_id\": \"87899\",\n \"answer\": \"before 2013\"\n },\n {\n \"question_id\": \"87900\",\n \"answer\": \"prevent junk messages\"\n },\n {\n \"question_id\": \"87901\",\n \"answer\": \"fraud\"\n },\n {\n \"question_id\": \"87902\",\n \"answer\": \"74.5 percent\"\n },\n {\n \"question_id\": \"87903\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87904\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87905\",\n \"answer\": \"India, Japan,\"\n },\n {\n \"question_id\": \"87906\",\n \"answer\": \"Australia, and Singapore\"\n },\n {\n \"question_id\": \"87907\",\n \"answer\": \"You have to show your ID\"\n },\n {\n \"question_id\": \"87908\",\n \"answer\": \"a student\"\n },\n {\n \"question_id\": \"87909\",\n \"answer\": \"Peking University\"\n },\n {\n \"question_id\": \"87910\",\n \"answer\": \"in the Netherlands\"\n },\n {\n \"question_id\": \"87911\",\n \"answer\": \"ID information\"\n },\n {\n \"question_id\": \"87912\",\n \"answer\": \"bank account information\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\nCOLLEGE DAYS \n\nSam and Grace sat in a corner of the piazza for the best part of half an hour, and during that time the girl told of her various doings at Hope and about the news from home, and Sam related what had occurred at Brill, omitting, however, to tell how Tom had sent Spud and Stanley into the old well hole. There was a good deal of nonsense added to the conversation, and it must be admitted that Sam held Grace's hand as much as she would permit. They also spoke about the wedding of Dick and Dora, and of the good times they had enjoyed on that occasion. \n\nTom and Nellie took a stroll through a little park opposite the hotel. What they talked about none of the others knew at the time, but Nellie came back looking very sober and thoughtful, so that her sister wondered if Tom had really and truly proposed to her. Tom was whistling softly to himself, as if to keep up his courage. \n\n\"Well, I guess it is time to start on the return, if you young ladies have got to be in by ten,\" said Dick, at last. \"Even as it is I haven't allowed any time for punctures or breakdowns.\" \n\n\"Perish the thoughts of such happenings!\" cried Grace. \n\n\"We've had our blow-out where I like it best--at the hotel,\" added Sam, and this joke caused a smile. \n\nAs before, Dick drove the car, with Dora beside him, and the others in the tonneau. He had all his lights lit, making the roadway almost as bright as day. Once out of town, the oldest Rover put on speed until they were flying along grandly. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29823\": \"How many people walked through the plaza?\"\n },\n {\n \"29824\": \"Did anyone walk through a place together?\"\n },\n {\n \"29825\": \"What was it?\"\n },\n {\n \"29826\": \"How many people?\"\n },\n {\n \"29827\": \"Who?\"\n },\n {\n \"29828\": \"What did they speak of?\"\n },\n {\n \"29829\": \"What was it suspected they spoke of?\"\n },\n {\n \"29830\": \"Who thought so?\"\n },\n {\n \"29831\": \"What time did the girls have to leave by?\"\n },\n {\n \"29832\": \"Who said it was time to go?\"\n },\n {\n \"29833\": \"Who had been seated together for around 30 minutes?\"\n },\n {\n \"29834\": \"Where had she previously been?\"\n },\n {\n \"29835\": \"And him?\"\n },\n {\n \"29836\": \"How many people fell in a gap?\"\n },\n {\n \"29837\": \"Who were they?\"\n },\n {\n \"29838\": \"Did he let her know about this?\"\n },\n {\n \"29839\": \"Were they touching?\"\n },\n {\n \"29840\": \"Who was married?\"\n },\n {\n \"29841\": \"Who was driving when everyone left?\"\n },\n {\n \"29842\": \"Was he slow?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29823\",\n \"answer\": \"Unknown.\"\n },\n {\n \"question_id\": \"29824\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"29825\",\n \"answer\": \"a little park\"\n },\n {\n \"question_id\": \"29826\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"29827\",\n \"answer\": \"Tom and Nellie\"\n },\n {\n \"question_id\": \"29828\",\n \"answer\": \"Unknown.\"\n },\n {\n \"question_id\": \"29829\",\n \"answer\": \"Tom's proposal.\"\n },\n {\n \"question_id\": \"29830\",\n \"answer\": \"Nellie's sister.\"\n },\n {\n \"question_id\": \"29831\",\n \"answer\": \"by ten\"\n },\n {\n \"question_id\": \"29832\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"29833\",\n \"answer\": \"Sam and Grace.\"\n },\n {\n \"question_id\": \"29834\",\n \"answer\": \"At Hope.\"\n },\n {\n \"question_id\": \"29835\",\n \"answer\": \"At Brill.\"\n },\n {\n \"question_id\": \"29836\",\n \"answer\": \"Two.\"\n },\n {\n \"question_id\": \"29837\",\n \"answer\": \"Spud and Stanley\"\n },\n {\n \"question_id\": \"29838\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"29839\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"29840\",\n \"answer\": \"Dick and Dora\"\n },\n {\n \"question_id\": \"29841\",\n \"answer\": \"Dick.\"\n },\n {\n \"question_id\": \"29842\",\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 Liberal Party was a political party which, with the Conservative Party, was one of the two major parties in the United Kingdom in the 19th and early 20th century. \n\nThe party arose from an alliance of Whigs and free-trade Peelites and Radicals favourable to the ideals of the American and French Revolutions in the 1850s. By the end of the nineteenth century, it had formed four governments under William Gladstone. Despite splitting over the issue of Irish Home Rule, the party returned to power in 1906 with a landslide victory. \n\nIt passed the welfare reforms that created a basic British welfare state. H. H. Asquith was Liberal Prime Minister between 1908 and 1916, followed by David Lloyd George, 1916-22. Although Asquith was the Party leader, the dominant figure was Lloyd George. Asquith was overwhelmed by the wartime role of coalition prime minister, and Lloyd George replaced him as the coalition prime minister in late 1916 but Asquith remained Liberal party leader. The two fought for years over control of the party, badly weakening it in the process. Historian Martin Pugh in \"The Oxford Companion to British History\" argues that Lloyd George: \n\nThe Lloyd George coalition was dominated by the Conservative Party, which finally deposed him in 1922. By the end of the 1920s, the Labour Party had replaced the Liberals as the Conservatives' main rival. The party went into decline after 1918 and by the 1950s won no more than six seats at general elections. Apart from notable by-election victories, the party's fortunes did not improve significantly until it formed the SDP–Liberal Alliance with the newly formed Social Democratic Party (SDP) in 1981. At the 1983 General Election, the Alliance won over a quarter of the vote, but only 23 of the 650 seats it contested. At the 1987 General Election, its vote fell below 23% and the Liberal and Social Democratic parties merged in 1988 to form the Liberal Democrats. A splinter group reconstituted the Liberal Party in 1989. It was formed by party members opposed to the merger who saw the Lib Dems diluting Liberal ideals.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29920\": \"How many governments were formed under William Gladsone?\"\n },\n {\n \"29921\": \"When?\"\n },\n {\n \"29922\": \"When did the Liberal Party return to power?\"\n },\n {\n \"29923\": \"Was it a close race?\"\n },\n {\n \"29924\": \"What were they divided over?\"\n },\n {\n \"29925\": \"Which ideals did they favor?\"\n },\n {\n \"29926\": \"Who was Liberal Prime Minister from 1908 to 1916?\"\n },\n {\n \"29927\": \"Who replaced him?\"\n },\n {\n \"29928\": \"Who was more dominant?\"\n },\n {\n \"29929\": \"What years was he the coalition prime minister?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"29920\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"29921\",\n \"answer\": \"By the end of the nineteenth century\"\n },\n {\n \"question_id\": \"29922\",\n \"answer\": \"1981\"\n },\n {\n \"question_id\": \"29923\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29924\",\n \"answer\": \"merger\"\n },\n {\n \"question_id\": \"29925\",\n \"answer\": \"Liberal\"\n },\n {\n \"question_id\": \"29926\",\n \"answer\": \"H. H. Asquith\"\n },\n {\n \"question_id\": \"29927\",\n \"answer\": \"David Lloyd George\"\n },\n {\n \"question_id\": \"29928\",\n \"answer\": \"Lloyd George\"\n },\n {\n \"question_id\": \"29929\",\n \"answer\": \"1916 - 22\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\n_Old Granny Fox Tries a New Plan_ \n\nOld Granny Fox kept thinking about Danny Meadow Mouse. She knew that he was fat, and it made her mouth water every time she thought of him. She made up her mind that she must and would have him. She knew that Danny had been very, very much frightened when she and Reddy Fox had tried so hard to catch him by plunging down through the snow into his little tunnels after him, and she felt pretty sure that he wouldn't go far away from the old fence-post, in the hollow of which he was snug and safe. \n\nOld Granny Fox is very smart. \"Danny Meadow Mouse won't put his nose out of that old fence-post for a day or two. Then he'll get tired of staying inside all the time, and he'll peep out of one of his little round doorways to see if the way is clear. If he doesn't see any danger, he'll come out and run around on top of the snow to get some of the seeds in the tops of the tall grasses that stick out through the snow. If nothing frightens him, he'll keep going, a little farther and a little farther from that old fence-post. I must see to it that Danny Meadow Mouse isn't frightened for a few days.\" So said old Granny Fox to herself, as she lay under a hemlock tree, studying how she could best get the next meal. \n\nThen she called Reddy Fox to her and forbade him to go down on the meadows until she should tell him he might. Reddy grumbled and mumbled and didn't see why he shouldn't go where he pleased, but he didn't dare disobey. You see he had a sore foot. He had hurt it on a wire barb when he was plunging through the snow after Danny Meadow Mouse, and now he had to run on three legs. That meant that he must depend upon Granny Fox to help him get enough to eat. So Reddy didn't dare to disobey. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88065\": \"What kind of animal is Granny?\"\n },\n {\n \"88066\": \"And Danny ?\"\n },\n {\n \"88067\": \"What happened when she thought about him?\"\n },\n {\n \"88068\": \"What did she decide to do?\"\n },\n {\n \"88069\": \"Had she attempted to take him before?\"\n },\n {\n \"88070\": \"With whom?\"\n },\n {\n \"88071\": \"How did they do it?\"\n },\n {\n \"88072\": \"Into what?\"\n },\n {\n \"88073\": \"Who made the tunnels?\"\n },\n {\n \"88074\": \"Where did Granny think Danny would be near?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"88065\",\n \"answer\": \"A fox\"\n },\n {\n \"question_id\": \"88066\",\n \"answer\": \"Mouse\"\n },\n {\n \"question_id\": \"88067\",\n \"answer\": \"it made her mouth water\"\n },\n {\n \"question_id\": \"88068\",\n \"answer\": \"Figure out how she could eat him\"\n },\n {\n \"question_id\": \"88069\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88070\",\n \"answer\": \"Reddy Fox\"\n },\n {\n \"question_id\": \"88071\",\n \"answer\": \"plunging down through the snow\"\n },\n {\n \"question_id\": \"88072\",\n \"answer\": \"Tunnels\"\n },\n {\n \"question_id\": \"88073\",\n \"answer\": \"Danny\"\n },\n {\n \"question_id\": \"88074\",\n \"answer\": \"old fence-post\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One hot summer day in August my family and I wanted to go to the beach. We had not gone to the beach in a very long time and felt that today was a great day to do it. \n\nWe piled everyone into the car-my mom, my dad, my sister, my dog, and me. I begged mom and dad to let me sit in the front seat, but they said no. I had to sit next to the smelly dog instead for the whole trip. \n\nWhen we got to the beach and opened the car door our dog raced down to the water to play. I grabbed the large umbrella we brought and walked down to the sand with mom and dad. After we had found a spot, they let me go play in the water. \n\nIt felt really good to cool off in the ocean water on such a hot day. As I swam around I saw many cool things, like fish, seaweed, and shells. I brought the interesting shells that I found to a bucket I had on the beach and threw them in. They would be great to add to my collection at home. \n\nWhen I got tired of swimming, my sister and I wanted to make a sand castle. We built towers using buckets and dug a huge ditch with our shovels. When our castle was complete we were about to take a picture, but then the dog ran it over and smashed it. I was about to yell at the dog, but then mom said it was getting late and we had to go home. \n\nWhen we got home I was wiped out from playing all day, so I went to sleep almost immediately. It was a very good day that I'll always remember.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98040\": \"Who went on the trip to the ocean?\"\n },\n {\n \"98041\": \"Where did you want to sit in the car?\"\n },\n {\n \"98042\": \"Where did you end up sitting?\"\n },\n {\n \"98043\": \"What did your dog do when you first arrived at the ocean?\"\n },\n {\n \"98044\": \"What did you take from your vehicle to the beach?\"\n },\n {\n \"98045\": \"Was this vacation during the summer?\"\n },\n {\n \"98046\": \"Did you swim in the water?\"\n },\n {\n \"98047\": \"What did you find and collect on the beach?\"\n },\n {\n \"98048\": \"where did you put them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98040\",\n \"answer\": \"my mom, my dad, my sister, my dog, and me.\"\n },\n {\n \"question_id\": \"98041\",\n \"answer\": \"the front seat\"\n },\n {\n \"question_id\": \"98042\",\n \"answer\": \"by the dog\"\n },\n {\n \"question_id\": \"98043\",\n \"answer\": \"to the water to play\"\n },\n {\n \"question_id\": \"98044\",\n \"answer\": \"umbrella\"\n },\n {\n \"question_id\": \"98045\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98047\",\n \"answer\": \".shells\"\n },\n {\n \"question_id\": \"98048\",\n \"answer\": \"in a bucket\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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, or the City of Mexico (Spanish: Ciudad de México audio (help·info) American Spanish: [sjuˈða(ð) ðe ˈméxiko]; abbreviated as \"CDMX\"), is the capital of Mexico. As an \"alpha\" global city, Mexico City is one of the most important financial centers in the Americas. It is located in the Valley of Mexico (Valle de México), a large valley in the high plateaus at the center of Mexico, at an altitude of 2,240 metres (7,350 ft). The city consists of sixteen municipalities (previously called boroughs). \n\nThe Greater Mexico City has a gross domestic product (GDP) of US$411 billion in 2011, making Mexico City urban agglomeration one of the economically largest metropolitan areas in the world. The city was responsible for generating 15.8% of Mexico's Gross Domestic Product and the metropolitan area accounted for about 22% of total national GDP. As a stand-alone country, in 2013, Mexico City would be the fifth-largest economy in Latin America—five times as large as Costa Rica's and about the same size as Peru's.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42803\": \"What is the capital city of Mexico?\"\n },\n {\n \"42804\": \"And where it's located?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"42803\",\n \"answer\": \"Mexico City\"\n },\n {\n \"question_id\": \"42804\",\n \"answer\": \"the Americas\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)It was a story that moved Stan Lee, the creator of many of the best-known superheroes in history, into action: a Spider-Man-loving boy with autism named Jamel Hunter. \n\nAccording to the New York Times, a December Times article about the child, who reportedly didn't say a word until he was in preschool, caught the eye of one of Lee's neighbors, jazz musician Corky Hale. \n\nThat would be the same Stan Lee who co-created Spider-Man (as well as Iron Man, the Incredible Hulk, the X-Men and so many other Marvel characters). \n\nThe Times story described how 8-year-old Jamel, who loves Spider-Man, had a birthday party at an East Harlem community center. The place was full of Spidey images. His struggling mother put everything she had into the party. \n\nUpon hearing the tale at his home in California, Lee decided to pitch in. \n\n\"After hearing of the boy's situation, how could I not?\" he told CNN. \n\nLee decided to draw a sketch of Spider-Man for Hunter. Lee, it should be noted, isn't an artist; Spidey was first drawn by Steve Ditko. But he can do the character in a pinch. \n\nNew York Times writer Michael Wilson delivered the drawing to Jamel, with Lee's signature in the corner. \n\n\"(Spider-Man) is a teenager, not an adult so (young people) can relate to him,\" Lee explained. \n\n\"He has many of the problems they themselves have, such as not enough money.\" \n\nLee's act of generosity captured the hearts of many on social media this past weekend. \n\nCNN's attempts to reach Jamel's family were unsuccessful. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57269\": \"Who has autism?\"\n },\n {\n \"57270\": \"How old is he?\"\n },\n {\n \"57271\": \"What superhero does he like?\"\n },\n {\n \"57272\": \"Who created the comic for that character?\"\n },\n {\n \"57273\": \"What others did he create?\"\n },\n {\n \"57274\": \"Did he first draw Spiderman?\"\n },\n {\n \"57275\": \"Who did?\"\n },\n {\n \"57276\": \"How long did it take Jamel to talk?\"\n },\n {\n \"57277\": \"Who noticed?\"\n },\n {\n \"57278\": \"What does he do for a living?\"\n },\n {\n \"57279\": \"How did he know the comic creator?\"\n },\n {\n \"57280\": \"What type of party did Jamel have?\"\n },\n {\n \"57281\": \"In what neighborhood did it take place?\"\n },\n {\n \"57282\": \"What present was Jamel presented?\"\n },\n {\n \"57283\": \"Who delivered it?\"\n },\n {\n \"57284\": \"What is his profession?\"\n },\n {\n \"57285\": \"For which famous paper?\"\n },\n {\n \"57286\": \"Whose signature was featured?\"\n },\n {\n \"57287\": \"Why does Lee think young people enjoy Spiderman?\"\n },\n {\n \"57288\": \"What problems might readers and Spiderman share?\"\n },\n {\n \"57289\": \"Was Jamel's mother struggling with finances?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57269\",\n \"answer\": \"Jamel Hunter\"\n },\n {\n \"question_id\": \"57270\",\n \"answer\": \"8-year-old\"\n },\n {\n \"question_id\": \"57271\",\n \"answer\": \"Spider-Man\"\n },\n {\n \"question_id\": \"57272\",\n \"answer\": \"Stan Lee\"\n },\n {\n \"question_id\": \"57273\",\n \"answer\": \"Iron Man, the Incredible Hulk, the X-Men\"\n },\n {\n \"question_id\": \"57274\",\n \"answer\": \"Spider-Man for Hunte\"\n },\n {\n \"question_id\": \"57275\",\n \"answer\": \"Steve Ditko\"\n },\n {\n \"question_id\": \"57276\",\n \"answer\": \"until he was in preschool\"\n },\n {\n \"question_id\": \"57277\",\n \"answer\": \"Corky Hale\"\n },\n {\n \"question_id\": \"57278\",\n \"answer\": \"jazz musician\"\n },\n {\n \"question_id\": \"57279\",\n \"answer\": \"his neighbor\"\n },\n {\n \"question_id\": \"57280\",\n \"answer\": \"birthday party\"\n },\n {\n \"question_id\": \"57281\",\n \"answer\": \"East Harlem\"\n },\n {\n \"question_id\": \"57282\",\n \"answer\": \"Spidey images\"\n },\n {\n \"question_id\": \"57283\",\n \"answer\": \"Michael Wilson\"\n },\n {\n \"question_id\": \"57284\",\n \"answer\": \"writer\"\n },\n {\n \"question_id\": \"57285\",\n \"answer\": \"New York Times\"\n },\n {\n \"question_id\": \"57286\",\n \"answer\": \"Lee\"\n },\n {\n \"question_id\": \"57287\",\n \"answer\": \"(Spider-Man) is a teenager\"\n },\n {\n \"question_id\": \"57288\",\n \"answer\": \"not having enough money\"\n },\n {\n \"question_id\": \"57289\",\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 XXI. BLACK STAR AND NIGHT \n\nThe time had come for Venters and Bess to leave their retreat. They were at great pains to choose the few things they would be able to carry with them on the journey out of Utah. \n\n\"Bern, whatever kind of a pack's this, anyhow?\" questioned Bess, rising from her work with reddened face. \n\nVenters, absorbed in his own task, did not look up at all, and in reply said he had brought so much from Cottonwoods that he did not recollect the half of it. \n\n\"A woman packed this!\" Bess exclaimed. \n\nHe scarcely caught her meaning, but the peculiar tone of her voice caused him instantly to rise, and he saw Bess on her knees before an open pack which he recognized as the one given him by Jane. \n\n\"By George!\" he ejaculated, guiltily, and then at sight of Bess's face he laughed outright. \n\n\"A woman packed this,\" she repeated, fixing woeful, tragic eyes on him. \n\n\"Well, is that a crime?' \n\n\"There--there is a woman, after all!\" \n\n\"Now Bess--\" \n\n\"You've lied to me!\" \n\nThen and there Venters found it imperative to postpone work for the present. All her life Bess had been isolated, but she had inherited certain elements of the eternal feminine. \n\n\"But there was a woman and you did lie to me,\" she kept repeating, after he had explained. \n\n\"What of that? Bess, I'll get angry at you in a moment. Remember you've been pent up all your life. I venture to say that if you'd been out in the world you d have had a dozen sweethearts and have told many a lie before this.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86712\": \"Where were Venters and Bess going to leave?\"\n },\n {\n \"86713\": \"Where was it?\"\n },\n {\n \"86714\": \"Could they take everything with them?\"\n },\n {\n \"86715\": \"Did Venters pack light?\"\n },\n {\n \"86716\": \"Did a man pack the bag?\"\n },\n {\n \"86717\": \"Is that a problem for Bess?\"\n },\n {\n \"86718\": \"Why?\"\n },\n {\n \"86719\": \"Does Venters defend himself?\"\n },\n {\n \"86720\": \"What does he ask Bess to recall?\"\n },\n {\n \"86721\": \"How does he say things could be different if that wasn't true?\"\n },\n {\n \"86722\": \"Who was the woman who packed Venters' bag?\"\n },\n {\n \"86723\": \"What was her name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86712\",\n \"answer\": \"their retreat\"\n },\n {\n \"question_id\": \"86713\",\n \"answer\": \"Utah.\"\n },\n {\n \"question_id\": \"86714\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86715\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86716\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86717\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86718\",\n \"answer\": \"He lied to her\"\n },\n {\n \"question_id\": \"86719\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86720\",\n \"answer\": \"She has been pent up her whole life\"\n },\n {\n \"question_id\": \"86721\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86722\",\n \"answer\": \"A sweetheart\"\n },\n {\n \"question_id\": \"86723\",\n \"answer\": \"Jane.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (PEOPLE.com) -- For nearly three years, the hit TLC show \"Toddlers & Tiaras\" has captured the drama behind the scenes in the world of child beauty pageants. \n\nThe tantrums were extreme, and the pre-show prep of spray tanning and eyebrow waxing seemed perhaps premature for little kids. \n\nBut in the last few weeks, as footage of 3- and 4-year-olds dressed in overly adult costumes (like Dolly Parton, complete with padded breasts, or Julia Roberts's streetwalker from \"Pretty Woman\") hit the airwaves, viewers and pageant skeptics have been expressing horror at an industry that is now accused of \"sexualizing\" young girls. \n\n\"Little girls are supposed to play with dolls, not be dolls,\" New York-based licensed clinical social worker Mark Sichel tells PEOPLE in its new issue. \n\nHe adds that the extremes parents go to in order to prepare their children for competition -- using padding, fake hair, flippers (faux teeth) and spray tans -- \"causes the children tremendous confusion, wondering why they are not okay without those things.\" \n\nNow devoted pageant moms are speaking out in their own defense. Wendy Dickey, who dressed her daughter Paisley, 3, as Julia Roberts, tells PEOPLE the look was \"tasteful and funny.\" Still, \"If I knew there would be a reaction like this, I never would have used it,\" Dickey says. \"Next time, she'll be dressed as an angel.\" \n\nAnd Juana Myers, whose daughter MaKenzie has been featured on Tiaras, says unfair scrutiny has been placed on the pageant industry. \"If this were a sport, no one would question it,\" she says. \"This is her sport.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91754\": \"What's the main topic?\"\n },\n {\n \"91755\": \"In which format?\"\n },\n {\n \"91756\": \"In what channel?\"\n },\n {\n \"91757\": \"Is the show somwat overboard?\"\n },\n {\n \"91758\": \"How so?\"\n },\n {\n \"91759\": \"Who were the participants?\"\n },\n {\n \"91760\": \"Did they impersonate anyone?\"\n },\n {\n \"91761\": \"Who?\"\n },\n {\n \"91762\": \"In what character?\"\n },\n {\n \"91763\": \"Did audience took it okay?\"\n },\n {\n \"91764\": \"Why?\"\n },\n {\n \"91765\": \"Who said that?\"\n },\n {\n \"91766\": \"Who is he?\"\n },\n {\n \"91767\": \"Where did he commented that?\"\n },\n {\n \"91768\": \"Was he worried about the kids?\"\n },\n {\n \"91769\": \"Why?\"\n },\n {\n \"91770\": \"Like what?\"\n },\n {\n \"91771\": \"Was there any responses from other side?\"\n },\n {\n \"91772\": \"Who were they?\"\n },\n {\n \"91773\": \"Any specific person?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91754\",\n \"answer\": \"child beauty pageants\"\n },\n {\n \"question_id\": \"91755\",\n \"answer\": \"a tv show\"\n },\n {\n \"question_id\": \"91756\",\n \"answer\": \"TLC\"\n },\n {\n \"question_id\": \"91757\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91758\",\n \"answer\": \"tantrums were extreme\"\n },\n {\n \"question_id\": \"91759\",\n \"answer\": \"3- and 4-year-olds\"\n },\n {\n \"question_id\": \"91760\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91761\",\n \"answer\": \"Dolly Parton\"\n },\n {\n \"question_id\": \"91762\",\n \"answer\": \"Julia Roberts's streetwalker from \\\"Pretty Woman\\\"\"\n },\n {\n \"question_id\": \"91763\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"91764\",\n \"answer\": \"Little girls are supposed to play with dolls\"\n },\n {\n \"question_id\": \"91765\",\n \"answer\": \"Mark Sichel\"\n },\n {\n \"question_id\": \"91766\",\n \"answer\": \"a social worker\"\n },\n {\n \"question_id\": \"91767\",\n \"answer\": \"in PEOPLE\"\n },\n {\n \"question_id\": \"91768\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91769\",\n \"answer\": \"it confuses them\"\n },\n {\n \"question_id\": \"91770\",\n \"answer\": \"wondering why they are not okay without those things\"\n },\n {\n \"question_id\": \"91771\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91772\",\n \"answer\": \"pageant moms\"\n },\n {\n \"question_id\": \"91773\",\n \"answer\": \"Juana Myers\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 THIRTY ONE. \n\nDESCRIBES A HAPPY HOME AND A HAPPIER MEETING. \n\nIn a small wayside cottage in the outskirts of one of those picturesque villages which surround London, an old woman sat at the head of a small deal table, with a black teapot, a brown sugar-basin, a yellow milk jug, and a cracked tea-cup before her. \n\nAt the foot of the same table sat a young man, with a large knife in one hand, a huge loaf of bread in the other, and a mass of yellow butter in a blue plate in front of him. \n\nThe young man was James Slagg; the old woman was his mother. Jim had no brothers or sisters, and his father chanced to be absent at market, so he had the \"old lady\" all to himself. \n\n\"Well, well, Jim,\" said Mrs Slagg, with a loving look at her son's flushed face, \"you've told me a heap o' wonderful tales about telegrumphs, an' tigers, an' electricity an' what not. If you was as great a liar as you was used to be, Jim, I tell 'ee plain, lad, I wouldn't believe one word on it. But you're a better boy than you was, Jim, an' I do believe you--indeed I do, though I must confess that some on it is hard to swallow.\" \n\n\"Thank 'ee, mother,\" said Jim, with a pleasant nod, as he cut an enormous slice from the loaf, trowelled upon it a mass of the yellow butter, and pushed in his cup for more tea. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72225\": \"Who sat at the foot of the table?\"\n },\n {\n \"72226\": \"What did she have before her?\"\n },\n {\n \"72227\": \"What was her name?\"\n },\n {\n \"72228\": \"Who sat at the foot of the table?\"\n },\n {\n \"72229\": \"What was he holding in one hand?\"\n },\n {\n \"72230\": \"And in the other?\"\n },\n {\n \"72231\": \"What did he have before him?\"\n },\n {\n \"72232\": \"What was his name?\"\n },\n {\n \"72233\": \"What was the woman's relationship to him?\"\n },\n {\n \"72234\": \"Where were his brothers and sisters?\"\n },\n {\n \"72235\": \"And his dad?\"\n },\n {\n \"72236\": \"Was his face pale?\"\n },\n {\n \"72237\": \"What had he been telling his mom?\"\n },\n {\n \"72238\": \"Did she believe them?\"\n },\n {\n \"72239\": \"But were they easy to believe?\"\n },\n {\n \"72240\": \"Did he thank his mom?\"\n },\n {\n \"72241\": \"What did he use his knife for?\"\n },\n {\n \"72242\": \"What did he put on it?\"\n },\n {\n \"72243\": \"Did he ask for more to drink?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"72225\",\n \"answer\": \"an old woman\"\n },\n {\n \"question_id\": \"72226\",\n \"answer\": \"a black teapot, a brown sugar-basin, a yellow milk jug, and a cracked tea-cup\"\n },\n {\n \"question_id\": \"72227\",\n \"answer\": \"Mrs Slagg\"\n },\n {\n \"question_id\": \"72228\",\n \"answer\": \"a young man\"\n },\n {\n \"question_id\": \"72229\",\n \"answer\": \"a large knife\"\n },\n {\n \"question_id\": \"72230\",\n \"answer\": \"a huge loaf of bread\"\n },\n {\n \"question_id\": \"72231\",\n \"answer\": \"a mass of yellow butter in a blue plate\"\n },\n {\n \"question_id\": \"72232\",\n \"answer\": \"Jim\"\n },\n {\n \"question_id\": \"72233\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"72234\",\n \"answer\": \"Jim had no brothers or sisters\"\n },\n {\n \"question_id\": \"72235\",\n \"answer\": \"at market,\"\n },\n {\n \"question_id\": \"72236\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72237\",\n \"answer\": \"a heap o' wonderful tales\"\n },\n {\n \"question_id\": \"72238\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72239\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72240\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72241\",\n \"answer\": \"he cut an enormous slice from the loaf\"\n },\n {\n \"question_id\": \"72242\",\n \"answer\": \"a mass of the yellow butter\"\n },\n {\n \"question_id\": \"72243\",\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 Jenny wanted to encourage students to read more famous books, so she decided to put an introduction to some interesting children's story books in the school newspaper. The Little Prince (<<>> is a famous work written by French writer Antoine de Saint-Exupery. In the book, the little prince leaves his own planet to explore the universe . In his journey, he finds that the adult world is really strange and boring. Finally, he goes back to his planet which is full of love. The book is really popular throughout the world. Charlotte's Web (<<>> is a famous children's novel written by American author E. B. White. The novel tells the story of a pig named Wilbur and his friendship with a spider named Charlotte on a farm. When Wilbur is in danger of being killed for his meat by the farmer, Charlotte writes messages to _ Wilbur in her web and saves him. Wilbur becomes famous in the village and he is safe in the end. When it came out in 1952, the book was welcomed by both adults and children. And it is still very popular today. The Miraculous Journey of Edward Tulane (<<>> is a 2006 novel written by Kate DiCamillo. The book is about an unusual journey of a china rabbit named Edward Tulane. He travels from one place to another, meeting many people. During his journey, he learns to love and finally finds love again. This book is popular nowadays and was mentioned many times in the famous South Korean TV series My love from the Star (<<>> . The warm and sweet story will surely make you understand more about love.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65509\": \"What show was broadcast in South Korea?\"\n },\n {\n \"65510\": \"What is used to save the pig?\"\n },\n {\n \"65511\": \"Who wove the web?\"\n },\n {\n \"65512\": \"Who was saved?\"\n },\n {\n \"65513\": \"What is he?\"\n },\n {\n \"65514\": \"Who wanted to kill him?\"\n },\n {\n \"65515\": \"Why?\"\n },\n {\n \"65516\": \"Where did he find fame?\"\n },\n {\n \"65517\": \"Who wrote the book about the young royal person?\"\n },\n {\n \"65518\": \"What is his nationality?\"\n },\n {\n \"65519\": \"What was the title?\"\n },\n {\n \"65520\": \"From where does the boy go?\"\n },\n {\n \"65521\": \"What did he find there?\"\n },\n {\n \"65522\": \"What was it like?\"\n },\n {\n \"65523\": \"Upon return, how did he find his home planet?\"\n },\n {\n \"65524\": \"Who wrote about saving the barnyard animal from becoming bacon?\"\n },\n {\n \"65525\": \"What's his nationality?\"\n },\n {\n \"65526\": \"Who wrote about the trip a rabbit took?\"\n },\n {\n \"65527\": \"In what year?\"\n },\n {\n \"65528\": \"What was it's title?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65509\",\n \"answer\": \"My love from the Star\"\n },\n {\n \"question_id\": \"65510\",\n \"answer\": \"Charlotte writes messages to _ Wilbur in her web and saves him.\"\n },\n {\n \"question_id\": \"65511\",\n \"answer\": \"Charlotte\"\n },\n {\n \"question_id\": \"65512\",\n \"answer\": \"Wilbur.\"\n },\n {\n \"question_id\": \"65513\",\n \"answer\": \"A pig.\"\n },\n {\n \"question_id\": \"65514\",\n \"answer\": \"The farmer.\"\n },\n {\n \"question_id\": \"65515\",\n \"answer\": \"For his meat.\"\n },\n {\n \"question_id\": \"65516\",\n \"answer\": \"In the village\"\n },\n {\n \"question_id\": \"65517\",\n \"answer\": \"Antoine de Saint-Exupery.\"\n },\n {\n \"question_id\": \"65518\",\n \"answer\": \"French.\"\n },\n {\n \"question_id\": \"65519\",\n \"answer\": \"The Little Prince.\"\n },\n {\n \"question_id\": \"65520\",\n \"answer\": \"To explore the universe .\"\n },\n {\n \"question_id\": \"65521\",\n \"answer\": \"The adult world\"\n },\n {\n \"question_id\": \"65522\",\n \"answer\": \"Strange and boring.\"\n },\n {\n \"question_id\": \"65523\",\n \"answer\": \"Full of love.\"\n },\n {\n \"question_id\": \"65524\",\n \"answer\": \"E. B. White.\"\n },\n {\n \"question_id\": \"65525\",\n \"answer\": \"American.\"\n },\n {\n \"question_id\": \"65526\",\n \"answer\": \"Kate DiCamillo.\"\n },\n {\n \"question_id\": \"65527\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"65528\",\n \"answer\": \"The Miraculous Journey of Edward Tulane\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Australia uses three main time zones: Australian Western Standard Time (AWST; ), Australian Central Standard Time (ACST; ), and Australian Eastern Standard Time (AEST; ). Time is regulated by the individual state governments, some of which observe daylight saving time (DST). Australia's external territories observe different time zones. \n\nStandard time was introduced in the 1890s when all of the Australian colonies adopted it. Before the switch to standard time zones, each local city or town was free to determine its local time, called local mean time. Now, Western Australia uses Western Standard Time; South Australia and the Northern Territory use Central Standard Time; while New South Wales, Queensland, Tasmania, Victoria, and the Australian Capital Territory (ACT) use Eastern Standard Time. \n\nDaylight saving time is used in South Australia, New South Wales, Victoria, Tasmania, and the ACT. It is not currently used in Western Australia, Queensland or the Northern Territory. \n\nThe standardization of time in Australia began in 1892, when surveyors from the six colonies in Australia met in Melbourne for the Intercolonial Conference of Surveyors. The delegates accepted the recommendation of the 1884 International Meridian Conference to adopt Greenwich Mean Time (GMT) as the basis for standard time. \n\nThe colonies enacted time zone legislation, which took effect in February 1895. The clocks were set ahead of GMT by eight hours in Western Australia; by nine hours in South Australia (and the Northern Territory, which it governed); and by 10 hours in Queensland, New South Wales, Victoria, and Tasmania. The three time zones became known as \"Eastern Standard Time\", \"Central Standard Time\", and \"Western Standard Time\". Broken Hill in the far west of New South Wales also adopted Central Standard Time due to it being connected by rail to Adelaide but not Sydney at the time.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57087\": \"How many times zones does Australia have?\"\n },\n {\n \"57088\": \"Who regulates time?\"\n },\n {\n \"57089\": \"Do they all observe DST?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57087\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"57088\",\n \"answer\": \"ndividual state governments\"\n },\n {\n \"question_id\": \"57089\",\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 Dear Grace, How are you? Thank you for your last e-mail. You want to know about my school clubs, right ? Well, it's time for us to join the school clubs now. There are many clubs in my school, like the English club, the art club, the music club and the sports club. I have two good friends, Jack and Lisa. We all want to join the school clubs. I want to join the music club, because I can play the guitar. I can't speak English well, but I also want to join the English club. Jack likes sports. He can play soccer and basketball. He is in the school soccer team . He wants to join the sports club. He can play the guitar, too. But he doesn't want to join the music club. Lisa likes drawing. She wants to join the art club. She also speaks English very well. I think she can be in the English club. But she can't be in the music club. She can't play any instruments . Are there any clubs in your school? What club are you in? Please write an e--mail and tell me about your school clubs. Yours, Jane\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92741\": \"Who wrote a letter?\"\n },\n {\n \"92742\": \"To whom?\"\n },\n {\n \"92743\": \"What about?\"\n },\n {\n \"92744\": \"How many did she mention?\"\n },\n {\n \"92745\": \"What club does she like?\"\n },\n {\n \"92746\": \"Why?\"\n },\n {\n \"92747\": \"Who likes to draw?\"\n },\n {\n \"92748\": \"Is there a club for that?\"\n },\n {\n \"92749\": \"What language does she speak well?\"\n },\n {\n \"92750\": \"Can she join the music club also?\"\n },\n {\n \"92751\": \"Why not?\"\n },\n {\n \"92752\": \"Does Jack like any clubs?\"\n },\n {\n \"92753\": \"Which one?\"\n },\n {\n \"92754\": \"Does he like any sports best?\"\n },\n {\n \"92755\": \"Does he play any instruments?\"\n },\n {\n \"92756\": \"Which one?\"\n },\n {\n \"92757\": \"Does he want to join music club?\"\n },\n {\n \"92758\": \"What does Jane ask grace to write her about?\"\n },\n {\n \"92759\": \"How should she send it?\"\n },\n {\n \"92760\": \"How many good friends does Jane have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92741\",\n \"answer\": \"Jane\"\n },\n {\n \"question_id\": \"92742\",\n \"answer\": \"Grace\"\n },\n {\n \"question_id\": \"92743\",\n \"answer\": \"Janeschool clubs\"\n },\n {\n \"question_id\": \"92744\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"92745\",\n \"answer\": \"The music club\"\n },\n {\n \"question_id\": \"92746\",\n \"answer\": \"Because Jane can play the guitar.\"\n },\n {\n \"question_id\": \"92747\",\n \"answer\": \"Lisa\"\n },\n {\n \"question_id\": \"92748\",\n \"answer\": \"The art club\"\n },\n {\n \"question_id\": \"92749\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"92750\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92751\",\n \"answer\": \"She can't play any instruments\"\n },\n {\n \"question_id\": \"92752\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92753\",\n \"answer\": \"The sports club\"\n },\n {\n \"question_id\": \"92754\",\n \"answer\": \"Soccer\"\n },\n {\n \"question_id\": \"92755\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92756\",\n \"answer\": \"The guitar\"\n },\n {\n \"question_id\": \"92757\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92758\",\n \"answer\": \"Her school clubs.\"\n },\n {\n \"question_id\": \"92759\",\n \"answer\": \"An email\"\n },\n {\n \"question_id\": \"92760\",\n \"answer\": \"Two\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIV \n\nGOOD-NIGHT \n\nWhen the three young people had been sitting for half an hour on the wide piazza of Cobhurst, enjoying the moonlight effects and waiting for the return of Dr. Tolbridge, Miriam, who was reclining in a steamer chair, ceased making remarks, but very soon after she became silent she was heard again, not speaking, however, but breathing audibly and with great regularity. Ralph and Dora turned toward her and smiled. \n\n\"Poor little thing,\" said the latter in a low voice; \"she must be tired out.\" \n\n\"Yes,\" said Ralph, also speaking in an undertone, \"she was up very early this morning, and has been at some sort of work ever since. I do not intend that this shall happen again. You must excuse her, Miss Bannister,--she is a girl yet, you know.\" \n\n\"And a sweet one, too,\" said Dora, \"with a perfect right to go to sleep if she chooses. I should be ashamed of myself if I felt in the least degree offended. Do not let us disturb her until the doctor comes; the nap will do her good.\" \n\n\"Suppose, then,\" said Ralph, \"that we take a little turn in the moonlight. Then we need not trouble ourselves to lower our voices.\" \n\n\"That will be very well,\" said Dora, \"but I am afraid she may take cold, although the night air is so soft. I think I saw a lap robe on a table in the hall; I will spread that over her.\" \n\nRalph whispered that he would get the robe, but motioning him back, and having tiptoed into the hall and back again, Dora laid the light covering over the sleeping girl so gently that the regular breathing was not in the least interrupted. Then they both went quietly down the steps, and out upon the lawn. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76875\": \"How many young people?\"\n },\n {\n \"76876\": \"What were they sitting and enjoying?\"\n },\n {\n \"76877\": \"Who were they waiting for?\"\n },\n {\n \"76878\": \"What was the doctor doing?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"76875\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"76876\",\n \"answer\": \"the moonlight effects\"\n },\n {\n \"question_id\": \"76877\",\n \"answer\": \"Dr. Tolbridge\"\n },\n {\n \"question_id\": \"76878\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- 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 Riga is the capital and the largest city of Latvia. With 639,630 inhabitants (2016), Riga is the largest city in the Baltic states, home to one third of Latvia's population and one tenth of the Baltic states' population. The city lies on the Gulf of Riga, at the mouth of the Daugava. Riga's territory covers and lies between above sea level, on a flat and sandy plain. \n\nRiga was founded in 1201 and is a former Hanseatic League member. Riga's historical centre is a UNESCO World Heritage Site, noted for its Art Nouveau/Jugendstil architecture and 19th century wooden architecture. Riga was the European Capital of Culture during 2014, along with Umeå in Sweden. Riga hosted the 2006 NATO Summit, the Eurovision Song Contest 2003, the 2006 IIHF Men's World Ice Hockey Championships and the 2013 World Women's Curling Championship. It is home to the European Union's office of European Regulators for Electronic Communications (BEREC). \n\nIn 2016, Riga received 2.3 million visitors. It is served by Riga International Airport, the largest and busiest airport in the Baltic states. Riga is a member of Eurocities, the Union of the Baltic Cities (UBC) and Union of Capitals of the European Union (UCEU). \n\nOne theory about the origin of the name \"Riga\" is that it is a corrupted borrowing from the Liv \"ringa\" meaning loop, referring to the ancient natural harbour formed by the tributary loop of the Daugava River. The other is that \"Riga\" owes its name to this already-established role in commerce between East and West, as a borrowing of the Latvian \"rija\", for threshing barn, the \"j\" becoming a \"g\" in German — notably, Riga is called \"Rie\" by English geographer Richard Hakluyt (1589), and German historian Dionysius Fabricius (1610) confirms the origin of \"Riga\" from \"rija\". Another theory could be that Riga was named after Riege, the German name for the River Rīdzene, a tributary of the Daugava.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47489\": \"What is the largest city in Latvia?\"\n },\n {\n \"47490\": \"Is it the capital?\"\n },\n {\n \"47491\": \"When was it founded?\"\n },\n {\n \"47492\": \"What league is it formerly a part of?\"\n },\n {\n \"47493\": \"Is it the biggest in the Baltic states?\"\n },\n {\n \"47494\": \"Where is it?\"\n },\n {\n \"47495\": \"On what body of water?\"\n },\n {\n \"47496\": \"How many people visited in 2016?\"\n },\n {\n \"47497\": \"Where do the planes fly in?\"\n },\n {\n \"47498\": \"Is it the smallest airport?\"\n },\n {\n \"47499\": \"What does it owe it's name to?\"\n },\n {\n \"47500\": \"What does Dionysius say the origin is?\"\n },\n {\n \"47501\": \"Was he from Germany?\"\n },\n {\n \"47502\": \"What was his profession?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47489\",\n \"answer\": \"Riga\"\n },\n {\n \"question_id\": \"47490\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47491\",\n \"answer\": \"1201\"\n },\n {\n \"question_id\": \"47492\",\n \"answer\": \"Hanseatic League\"\n },\n {\n \"question_id\": \"47493\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47494\",\n \"answer\": \"Latvia\"\n },\n {\n \"question_id\": \"47495\",\n \"answer\": \"the Gulf of Riga\"\n },\n {\n \"question_id\": \"47496\",\n \"answer\": \"2.3 million\"\n },\n {\n \"question_id\": \"47497\",\n \"answer\": \"Riga International Airport\"\n },\n {\n \"question_id\": \"47498\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47499\",\n \"answer\": \"the Liv \\\"ringa\\\"\"\n },\n {\n \"question_id\": \"47500\",\n \"answer\": \"from \\\"rija\\\"\"\n },\n {\n \"question_id\": \"47501\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"47502\",\n \"answer\": \"historian\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Mexican authorities say they've detained the father-in-law of one of the country's most wanted drug lords. \n\nPolice Tuesday morning detained Ines Coronel Barreras, 45, on drug-related charges, officials told reporters. \n\nHe is the father-in-law of Sinaloa cartel leader Joaquin \"El Chapo\" Guzman, authorities said. \n\nIn January, the U.S. Department of the Treasury described Coronel as a \"key Sinaloa cartel operative.\" \n\nWeapons and packets of marijuana were seized in Tuesday's operation, but no shots were fired, said Eduardo Sanchez Hernandez of Mexico's interior ministry. \n\nAuthorities said Coronel is the father of Guzman's third wife, Emma Coronel Aispuro, whom he married in 2007. \n\nGuzman's nickname, which means \"shorty,\" matches his 5-foot-6-inch frame, though he has climbed to great heights in the drug business. \n\nThe Sinaloa cartel is one of Mexico's most powerful drug-trafficking operations, and Forbes has estimated Guzman's net worth at $1 billion. \n\nU.S. authorities arrested a woman believed to be Guzman's daughter in October. She was deported in December after she pleaded guilty in federal court to possession of a false visa. \n\nCoronel's arrest is one of the most significant blows to organized crime in Mexico since President Enrique Pena Nieto took office in December. \n\nThe high-profile arrest comes two days before U.S. President Barack Obama is scheduled to arrive in Mexico. \n\nCNNMexico.com contributed to this report. \n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9106\": \"who did the department of the treasury describe as a key sinaloa cartel operative?\"\n },\n {\n \"9107\": \"and how old is he?\"\n },\n {\n \"9108\": \"is he related to \\\"EL Chapo\\\"?\"\n },\n {\n \"9109\": \"how?\"\n },\n {\n \"9110\": \"was he recently detained?\"\n },\n {\n \"9111\": \"by who?\"\n },\n {\n \"9112\": \"did they seize anything in the bust?\"\n },\n {\n \"9113\": \"what was one thing that was seized?\"\n },\n {\n \"9114\": \"anything else?\"\n },\n {\n \"9115\": \"when did President Enrique Pena Nieto take office?\"\n },\n {\n \"9116\": \"what is Guzman's estimated net worth?\"\n },\n {\n \"9117\": \"what does his nickname mean?\"\n },\n {\n \"9118\": \"why is that his nickname?\"\n },\n {\n \"9119\": \"were shots fired in Tuesday's operation?\"\n },\n {\n \"9120\": \"who confirmed that?\"\n },\n {\n \"9121\": \"and what is his title?\"\n },\n {\n \"9122\": \"which wife of Guzman is Coronel the father of?\"\n },\n {\n \"9123\": \"what is her name?\"\n },\n {\n \"9124\": \"when were they married?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9106\",\n \"answer\": \"Ines Coronel Barreras\"\n },\n {\n \"question_id\": \"9107\",\n \"answer\": \"45\"\n },\n {\n \"question_id\": \"9108\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9109\",\n \"answer\": \"he's his father-in-law\"\n },\n {\n \"question_id\": \"9110\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9111\",\n \"answer\": \"Mexican authorities\"\n },\n {\n \"question_id\": \"9112\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9113\",\n \"answer\": \"Weapons\"\n },\n {\n \"question_id\": \"9114\",\n \"answer\": \"packets of marijuana\"\n },\n {\n \"question_id\": \"9115\",\n \"answer\": \"in December.\"\n },\n {\n \"question_id\": \"9116\",\n \"answer\": \"$1 billion.\"\n },\n {\n \"question_id\": \"9117\",\n \"answer\": \"shorty\"\n },\n {\n \"question_id\": \"9118\",\n \"answer\": \"he's only 5'6\"\n },\n {\n \"question_id\": \"9119\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9120\",\n \"answer\": \"Eduardo Sanchez Hernandez\"\n },\n {\n \"question_id\": \"9121\",\n \"answer\": \"Mexico's interior ministry.\"\n },\n {\n \"question_id\": \"9122\",\n \"answer\": \"his third wife\"\n },\n {\n \"question_id\": \"9123\",\n \"answer\": \"Emma Coronel Aispuro\"\n },\n {\n \"question_id\": \"9124\",\n \"answer\": \"2007.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 a lot of occasions, you have to make some public speaking. However, public speaking fills most people with dread. Humiliation is the greatest fear; self-exposure and failing to appeal to the audience come a close second. Women hate it most, since girls are pressurized from an early age to be concerned with appearance of all kinds. \n\nMost people have plenty of insecurities, and this seems like a situation that will bring them out. If you were under pressure to be perfect, you are terrified of failing in the most public of ways. \n\nWhile extroverts will feel less fear before the ordeal , it does not mean they will necessarily do it better. Some very shy people manage to shine. When I met the British Comedian Julian, he was shy and cautious, yet his TV performances are perfect. \n\nIn fact, personality is not the best predictor of who does it well. Regardless of what you are like in real life, the key seems to be to act yourself. \n\nActual acting, as in performing the scripted lines of a character other than yourself, does not do the job. While politicians may limit damage by having carefully rehearsed, written scripts to speak from, there is always a hidden awareness among the audience that the words might not be true. \n\nLikewise, the incredibly perfect speeches of many American academics are far from natural. You may end up buying their book on the way out, but soon afterwards, it is much like fast food, and you get a nameless sense that you've been cheated. \n\nAlthough, as Earl Spencer proved at his sister Princess Diana's funeral, it is possible both to prepare every word and to act naturally. A script rarely works and it is used to help most speakers. \n\nBut, being yourself doesn't work either. If you spoke as if you were in your own kitchen, it would be too authentic, too unaware of the need to communicate with an audience. \n\nI remember going to see British psychiatrist R.D. Laing speak in public. He behaved like a seriously odd person, talking off the top of his head. Although he was talking about madness and he wrote on mental illness, he seemed to be exhibiting rather than explaining it. \n\nThe best psychological place from which to speak is an unselfconscious self-consciousness, providing the illusion of being natural. Studies suggest that this state of \"flow\", as psychologists call it, is very satisfying.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89290\": \"How do most people fill about speaking in public?\"\n },\n {\n \"89291\": \"What are they most afraid of?\"\n },\n {\n \"89292\": \"What will this kind of situation illuminate?\"\n },\n {\n \"89293\": \"Is it worse for men or women?\"\n },\n {\n \"89294\": \"Is personality a good indicator of who will be good at this?\"\n },\n {\n \"89295\": \"How do politicians prepare?\"\n },\n {\n \"89296\": \"What is the audience aware of?\"\n },\n {\n \"89297\": \"Who is Princess Diana's brother?\"\n },\n {\n \"89298\": \"Did he speak at her funeral?\"\n },\n {\n \"89299\": \"How did he act?\"\n },\n {\n \"89300\": \"How often is a script a good tool?\"\n },\n {\n \"89301\": \"Who is R.D. Laing?\"\n },\n {\n \"89302\": \"from where?\"\n },\n {\n \"89303\": \"Has he spoken in public?\"\n },\n {\n \"89304\": \"What was his topic?\"\n },\n {\n \"89305\": \"What did he write about?\"\n },\n {\n \"89306\": \"Did he do well?\"\n },\n {\n \"89307\": \"How did his behavior seem\"\n },\n {\n \"89308\": \"What state do psychologists say you need to be in?\"\n },\n {\n \"89309\": \"What does this make your speech look like?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89290\",\n \"answer\": \"they dread it\"\n },\n {\n \"question_id\": \"89291\",\n \"answer\": \"Humiliation\"\n },\n {\n \"question_id\": \"89292\",\n \"answer\": \"insecurities\"\n },\n {\n \"question_id\": \"89293\",\n \"answer\": \"women\"\n },\n {\n \"question_id\": \"89294\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89295\",\n \"answer\": \"they have scripts\"\n },\n {\n \"question_id\": \"89296\",\n \"answer\": \"it might not be true\"\n },\n {\n \"question_id\": \"89297\",\n \"answer\": \"Earl Spencer\"\n },\n {\n \"question_id\": \"89298\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89299\",\n \"answer\": \"natural\"\n },\n {\n \"question_id\": \"89300\",\n \"answer\": \"rarely\"\n },\n {\n \"question_id\": \"89301\",\n \"answer\": \"a psychiatrist\"\n },\n {\n \"question_id\": \"89302\",\n \"answer\": \"Great Britain\"\n },\n {\n \"question_id\": \"89303\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89304\",\n \"answer\": \"madness\"\n },\n {\n \"question_id\": \"89305\",\n \"answer\": \"mental illness\"\n },\n {\n \"question_id\": \"89306\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89307\",\n \"answer\": \"odd\"\n },\n {\n \"question_id\": \"89308\",\n \"answer\": \"state of flow\"\n },\n {\n \"question_id\": \"89309\",\n \"answer\": \"natural\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nMR. LITTLESON, FLATTERER \n\nOnce more a little luncheon was in progress at the corner table in the millionaires' club. This time Littleson also was of the party. He had been describing his luncheon of the day before to his friends. \n\n\"I am dead sure of one thing,\" he declared. \"She is on our side, and I honestly believe that she means getting that paper.\" \n\n\"But she hasn't even the entrée to the house now,\" Weiss objected. \n\n\"There are plenty of the servants there,\" Littleson answered, \"whom she must know very well, and through whom she could get in, especially if Phineas is really up in his room. I tell you fellows, I truly believe we'll have that wretched document in our hands by this time to-morrow.\" \n\n\"The day I see it in ashes,\" Bardsley muttered, \"I'll stand you fellows a magnum of Pommery '92.\" \n\n\"I wonder,\" Weiss remarked, \"what sort of terms she is on with her cousin, the little girl with the big eyes.\" \n\n\"I wish to Heaven one of you could make friends with that child!\" Bardsley exclaimed. \"I'd give a tidy lot to know whether Phineas Duge lies there on his bed, or whether his hand is on the telephone half the time. You are sure, Littleson, that Dick Losting is in Europe?\" \n\n\"Absolutely certain,\" Littleson answered. \"I had a letter from him dated Paris only yesterday.\" \n\n\"Then who in God's name is shaking the Chicago markets like this!\" Bardsley declared, striking the newspaper which lay by his side with the palm of his hand. \"You notice, too, the stocks which are being hit are all ours, every one of them. Damn! If Phineas should be sitting up there in his room with that hideous little smile upon his lips, talking and talking across the wires hour after hour, while we hang round like idiots and play his game! It's maddening to think of.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11823\": \"Who was included in the party finally?\"\n },\n {\n \"11824\": \"what kind of party was it?\"\n },\n {\n \"11825\": \"where?\"\n },\n {\n \"11826\": \"when?\"\n },\n {\n \"11827\": \"was there a luncheon the day before?\"\n },\n {\n \"11828\": \"what city are they in?\"\n },\n {\n \"11829\": \"who is the child?\"\n },\n {\n \"11830\": \"what do they want from the house?\"\n },\n {\n \"11831\": \"Do they want Phineas to greet them at the door?\"\n },\n {\n \"11832\": \"where do they hope he will be?\"\n },\n {\n \"11833\": \"What will Bardsley do if they succeed?\"\n },\n {\n \"11834\": \"Does he say he will stand them a magnum of Pommery 92?\"\n },\n {\n \"11835\": \"when did Littleson get a letter?\"\n },\n {\n \"11836\": \"from where?\"\n },\n {\n \"11837\": \"from who?\"\n },\n {\n \"11838\": \"about what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11823\",\n \"answer\": \"Littleson\"\n },\n {\n \"question_id\": \"11824\",\n \"answer\": \"luncheon\"\n },\n {\n \"question_id\": \"11825\",\n \"answer\": \"millionaires' club\"\n },\n {\n \"question_id\": \"11826\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"11827\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11828\",\n \"answer\": \"Europe\"\n },\n {\n \"question_id\": \"11829\",\n \"answer\": \"her cousin\"\n },\n {\n \"question_id\": \"11830\",\n \"answer\": \"wretched document i\"\n },\n {\n \"question_id\": \"11831\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11832\",\n \"answer\": \"his room.\"\n },\n {\n \"question_id\": \"11833\",\n \"answer\": \"hang round like idiots and play his game\"\n },\n {\n \"question_id\": \"11834\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11835\",\n \"answer\": \"yesterday.\"\n },\n {\n \"question_id\": \"11836\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"11837\",\n \"answer\": \"Dick Losting\"\n },\n {\n \"question_id\": \"11838\",\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 Attorneys for the family of a 17-year-old student found dead in a rolled-up gym mat at a southern Georgia high school called on authorities Thursday to release surveillance video that they say could show what happened. \n\nKendrick Johnson, they allege, was slain in January -- counter to authorities' conclusions that the three-sport athlete suffocated in the mat while reaching for a sneaker. \n\n\"There is one eyewitness that we know is available -- it is the video recordings made from surveillance cameras there in the gymnasium where the body was found,\" attorney Chevene B. King Jr. told reporters in Valdosta, Georgia. \n\n\"For some unknown reason, this tape has been withheld,\" he added. \n\nGym mat death shocker: Body stuffed with newspaper \n\nAttorney Benjamin Crump, who recently joined the case after representing the family of slain Florida teenager Trayvon Martin, said that Johnson was \"murdered, and we intend to get to the truth of what happened.\" \n\nJohnson was found dead at Lowndes County High School in Valdosta on January 11, his body resting headfirst in the rolled wrestling mat. \n\nA Georgia Bureau of Investigation autopsy found that he died from positional asphyxia, and the Lowndes County Sheriff's Office determined the death was accidental. \n\nBut a second autopsy, which a private pathologist conducted at the request of Johnson's parents in June, found that he died because of \"unexplained, apparent non-accidental, blunt force trauma.\" \n\nTeen's death not accidental, family's autopsy finds \n\nThe Lowndes County sheriff has declared the case closed, and the U.S. Justice Department said in September that it wouldn't open a civil rights investigation. But Michael Moore, the U.S. attorney for the district that includes Valdosta, is reviewing the case and weighing whether to open his own investigation. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18434\": \"How old is the deceased?\"\n },\n {\n \"18435\": \"Male or female?\"\n },\n {\n \"18436\": \"What was his name?\"\n },\n {\n \"18437\": \"Where was he located?\"\n },\n {\n \"18438\": \"Where in Georgia?\"\n },\n {\n \"18439\": \"Where?\"\n },\n {\n \"18440\": \"In what room?\"\n },\n {\n \"18441\": \"How was he positioned?\"\n },\n {\n \"18442\": \"In what?\"\n },\n {\n \"18443\": \"On what date?\"\n },\n {\n \"18444\": \"Who examined him after he died for the authorities?\"\n },\n {\n \"18445\": \"What did they deem the cause of death?\"\n },\n {\n \"18446\": \"Was it ruled a homicide?\"\n },\n {\n \"18447\": \"By who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18434\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"18435\",\n \"answer\": \"Male\"\n },\n {\n \"question_id\": \"18436\",\n \"answer\": \"Kendrick Johnson\"\n },\n {\n \"question_id\": \"18437\",\n \"answer\": \"Georgia\"\n },\n {\n \"question_id\": \"18438\",\n \"answer\": \"Valdosta.\"\n },\n {\n \"question_id\": \"18439\",\n \"answer\": \"Lowndes County High School\"\n },\n {\n \"question_id\": \"18440\",\n \"answer\": \"in the gymnasium\"\n },\n {\n \"question_id\": \"18441\",\n \"answer\": \"his body was resting headfirst\"\n },\n {\n \"question_id\": \"18442\",\n \"answer\": \"a rolled wrestling mat.\"\n },\n {\n \"question_id\": \"18443\",\n \"answer\": \"January 11\"\n },\n {\n \"question_id\": \"18444\",\n \"answer\": \"Georgia Bureau of Investigation\"\n },\n {\n \"question_id\": \"18445\",\n \"answer\": \"from positional asphyxia\"\n },\n {\n \"question_id\": \"18446\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"18447\",\n \"answer\": \"Lowndes County Sheriff's Office\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tom had a pet. Tom loved his pet and would always laugh at the funny thing he did when facing his chin. The pet was a dog. Tom would blow in the dog's ear in order to make him mad. One day Tom wanted to give the dog a treat but he wouldn't eat it. Tom got very upset and confused and said, \"I think my dog is going to die.\" So Tom threw his dog a party in the sand to make his dog happy and have a great life. At the party they only listened to hit songs. Tom let his dog eat anything he wanted, even a dingdong. Tom invited the dog's favorite friend, his nana. He took his dog and the dog's nana and went for a drive on the road. At the end of the party Tom let his dog chew his favorite pencil. The dog was not dying, but he was happy he got to have the best party ever.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83440\": \"What did Tom have?\"\n },\n {\n \"83441\": \"What was it?\"\n },\n {\n \"83442\": \"How did he feel about it?\"\n },\n {\n \"83443\": \"What did he do to it?\"\n },\n {\n \"83444\": \"Why?\"\n },\n {\n \"83445\": \"What did he do one day?\"\n },\n {\n \"83446\": \"Did the dog want it?\"\n },\n {\n \"83447\": \"How did thatmake Tom feel?\"\n },\n {\n \"83448\": \"What did he think?\"\n },\n {\n \"83449\": \"What did he do?\"\n },\n {\n \"83450\": \"Why?\"\n },\n {\n \"83451\": \"where?\"\n },\n {\n \"83452\": \"What did they do there?\"\n },\n {\n \"83453\": \"What did the dog eat?\"\n },\n {\n \"83454\": \"Did anyone else come?\"\n },\n {\n \"83455\": \"who?\"\n },\n {\n \"83456\": \"What was his name?\"\n },\n {\n \"83457\": \"Who was the guest?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"83440\",\n \"answer\": \"a pet.\"\n },\n {\n \"question_id\": \"83441\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"83442\",\n \"answer\": \"loved it\"\n },\n {\n \"question_id\": \"83443\",\n \"answer\": \"blow in the dog's ear\"\n },\n {\n \"question_id\": \"83444\",\n \"answer\": \"to make him mad\"\n },\n {\n \"question_id\": \"83445\",\n \"answer\": \"give the dog a treat\"\n },\n {\n \"question_id\": \"83446\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"83447\",\n \"answer\": \"upset and confused\"\n },\n {\n \"question_id\": \"83448\",\n \"answer\": \"he was going to die.\"\n },\n {\n \"question_id\": \"83449\",\n \"answer\": \"threw his dog a party\"\n },\n {\n \"question_id\": \"83450\",\n \"answer\": \"to make his dog happy\"\n },\n {\n \"question_id\": \"83451\",\n \"answer\": \"In the sand.\"\n },\n {\n \"question_id\": \"83452\",\n \"answer\": \"listened to hit songs.\"\n },\n {\n \"question_id\": \"83453\",\n \"answer\": \"a dingdong\"\n },\n {\n \"question_id\": \"83454\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83455\",\n \"answer\": \"dog's favorite friend,\"\n },\n {\n \"question_id\": \"83456\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"83457\",\n \"answer\": \"his nana\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Han dynasty (Chinese: 漢朝; pinyin: Hàn cháo) was the second imperial dynasty of China, preceded by the Qin dynasty (221–207 BC) and succeeded by the Three Kingdoms period (220–280 AD). Spanning over four centuries, the Han period is considered a golden age in Chinese history. To this day, China's majority ethnic group refers to itself as the \"Han people\" and the Chinese script is referred to as \"Han characters\". It was founded by the rebel leader Liu Bang, known posthumously as Emperor Gaozu of Han, and briefly interrupted by the Xin dynasty (9–23 AD) of the former regent Wang Mang. This interregnum separates the Han dynasty into two periods: the Western Han or Former Han (206 BC – 9 AD) and the Eastern Han or Later Han (25–220 AD). \n\nThe emperor was at the pinnacle of Han society. He presided over the Han government but shared power with both the nobility and appointed ministers who came largely from the scholarly gentry class. The Han Empire was divided into areas directly controlled by the central government using an innovation inherited from the Qin known as commanderies, and a number of semi-autonomous kingdoms. These kingdoms gradually lost all vestiges of their independence, particularly following the Rebellion of the Seven States. From the reign of Emperor Wu onward, the Chinese court officially sponsored Confucianism in education and court politics, synthesized with the cosmology of later scholars such as Dong Zhongshu. This policy endured until the fall of the Qing dynasty in AD 1911.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54148\": \"What group is the 2nd to be prominent?\"\n },\n {\n \"54149\": \"In what country?\"\n },\n {\n \"54150\": \"What was before this one?\"\n },\n {\n \"54151\": \"During what years?\"\n },\n {\n \"54152\": \"And what was after?\"\n },\n {\n \"54153\": \"During what years?\"\n },\n {\n \"54154\": \"Who was at the center of the 2nd one?\"\n },\n {\n \"54155\": \"Did he control everything unilaterally?\"\n },\n {\n \"54156\": \"Who else helped control things?\"\n },\n {\n \"54157\": \"Where were they from?\"\n },\n {\n \"54158\": \"How long did the 2nd ones stick around?\"\n },\n {\n \"54159\": \"Are they looked back on in disdain?\"\n },\n {\n \"54160\": \"How then?\"\n },\n {\n \"54161\": \"How do modern folks relate to them?\"\n },\n {\n \"54162\": \"Does it carry over into writing?\"\n },\n {\n \"54163\": \"How so?\"\n },\n {\n \"54164\": \"What caused a bunch of mostly independent places to lose their autonomy?\"\n },\n {\n \"54165\": \"Who was primarily referenced in teaching at that point?\"\n },\n {\n \"54166\": \"Until when?\"\n },\n {\n \"54167\": \"What ended along with it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54148\",\n \"answer\": \"The Han dynasty\"\n },\n {\n \"question_id\": \"54149\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"54150\",\n \"answer\": \"the Qin dynasty\"\n },\n {\n \"question_id\": \"54151\",\n \"answer\": \"221\\u2013207 BC\"\n },\n {\n \"question_id\": \"54152\",\n \"answer\": \"the Three Kingdoms period\"\n },\n {\n \"question_id\": \"54153\",\n \"answer\": \"220\\u2013280 AD\"\n },\n {\n \"question_id\": \"54154\",\n \"answer\": \"The emperor\"\n },\n {\n \"question_id\": \"54155\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54156\",\n \"answer\": \"nobility and appointed ministers\"\n },\n {\n \"question_id\": \"54157\",\n \"answer\": \"the scholarly gentry class\"\n },\n {\n \"question_id\": \"54158\",\n \"answer\": \"over four centuries\"\n },\n {\n \"question_id\": \"54159\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54160\",\n \"answer\": \"a golden age in Chinese history.\"\n },\n {\n \"question_id\": \"54161\",\n \"answer\": \"China's majority ethnic group refers to itself as the \\\"Han people\\\"\"\n },\n {\n \"question_id\": \"54162\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"54163\",\n \"answer\": \"Chinese script is referred to as \\\"Han characters\\\".\"\n },\n {\n \"question_id\": \"54164\",\n \"answer\": \"the Rebellion of the Seven States.\"\n },\n {\n \"question_id\": \"54165\",\n \"answer\": \"Confucianism\"\n },\n {\n \"question_id\": \"54166\",\n \"answer\": \"AD 1911.\"\n },\n {\n \"question_id\": \"54167\",\n \"answer\": \"the Qing dynasty\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Actor Philip Seymour Hoffman, who was found dead February 2 on the bathroom floor of his New York apartment with a syringe in his left arm, died of acute mixed drug intoxication, including heroin, cocaine, benzodiazepines and amphetamine, the New York medical examiner's office said Friday. \n\nThe manner of death was ruled an accident, the medical examiner's office said in a statement. \n\nDr. Sanjay Gupta, CNN's chief medical correspondent, said that as addicts take mixtures of drugs more chronically, they may not necessarily feel the effects of the narcotics, which still suppress the respiratory system. \n\n\"They're not feeling it, but it's still having an impact on their ability to breathe, and that's the real problem,\" he said. \"It's called stacking. You can stack the same drug too close together, or you can start to stack other drugs, one on top of the other. That's how people get into trouble. They do call it accidental death as well.\" \n\nPolice found nearly 50 envelopes branded \"Ace of Spades\" filled with what they believe was heroin in the actor's Manhattan apartment, two law enforcement sources familiar with the inquiry said. \n\nUsed syringes, prescription drugs and empty bags that authorities suspect were used to hold heroin also were found in the apartment where Hoffman, 46, was found dead, sources said. \n\nHe was expected to pick up his children that day but didn't show up, the official said. Playwright David Katz and another person went to the apartment and found him dead, the official said. \n\nPolice officers found him in a T-shirt and shorts with his eyeglasses still on his head. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9098\": \"What state medical examiner's office handled the actor's death?\"\n },\n {\n \"9099\": \"What is the actor's first name?\"\n },\n {\n \"9100\": \"And last name?\"\n },\n {\n \"9101\": \"And middle name?\"\n },\n {\n \"9102\": \"Was the actor's death judged to be an accident?\"\n },\n {\n \"9103\": \"Through what means did the medical examiner's office release this information?\"\n },\n {\n \"9104\": \"What was the brand on the envelopes found/\"\n },\n {\n \"9105\": \"What drug was in the envelope?\"\n },\n {\n \"9106\": \"Was Hoffman found dead in a house?\"\n },\n {\n \"9107\": \"In what city was his apartment?\"\n },\n {\n \"9108\": \"How old was he at the time of his death?\"\n },\n {\n \"9109\": \"What is the last name of CNN's medical correspondent?\"\n },\n {\n \"9110\": \"And his first name?\"\n },\n {\n \"9111\": \"What is the last name of the playwright who found his body?\"\n },\n {\n \"9112\": \"Was someone else with Katz?\"\n },\n {\n \"9113\": \"What was Hoffman wearing when found?\"\n },\n {\n \"9114\": \"What did he have on his head?\"\n },\n {\n \"9115\": \"What persons were Hoffman supposed to pick up that day?\"\n },\n {\n \"9116\": \"In which arm of Hoffman's was a syringe found?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9098\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"9099\",\n \"answer\": \"Philip\"\n },\n {\n \"question_id\": \"9100\",\n \"answer\": \"Hoffman\"\n },\n {\n \"question_id\": \"9101\",\n \"answer\": \"Seymour\"\n },\n {\n \"question_id\": \"9102\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9103\",\n \"answer\": \"a statement.\"\n },\n {\n \"question_id\": \"9104\",\n \"answer\": \"\\\"Ace of Spades\\\"\"\n },\n {\n \"question_id\": \"9105\",\n \"answer\": \"heroin\"\n },\n {\n \"question_id\": \"9106\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9107\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"9108\",\n \"answer\": \"46\"\n },\n {\n \"question_id\": \"9109\",\n \"answer\": \"Gupta\"\n },\n {\n \"question_id\": \"9110\",\n \"answer\": \"Sanjay\"\n },\n {\n \"question_id\": \"9111\",\n \"answer\": \"David Katz\"\n },\n {\n \"question_id\": \"9112\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9113\",\n \"answer\": \"in a tee shirt and shorts\"\n },\n {\n \"question_id\": \"9114\",\n \"answer\": \"his eyeglasses\"\n },\n {\n \"question_id\": \"9115\",\n \"answer\": \"his children\"\n },\n {\n \"question_id\": \"9116\",\n \"answer\": \"the left\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- When Hugh Jackman first called his director for \"The Wolverine,\" James Mangold told him that he had had an inspiration after reading the script. Mangold wanted to make the set-in-Japan film similar to \"The Outlaw Josey Wales\" by making the mutant a Josey Wales with healing powers. Jackman hadn't seen the classic Clint Eastwood film, so Mangold sent him a copy. \n\n\"I felt like tonally, it would give him a clue of what I was talking about,\" the director said. \n\nThe director started thinking about the deep affinity between gun-slinging Westerns and swordfighting samurai films. Mangold thought that drawing upon both of them would help \"The Wolverine\" stand apart from the rest of the X-Men series. \n\nThis installment takes place after \"X-Men: The Last Stand,\" as Wolverine retreats from killing the love of his life, Jean Grey/Dark Phoenix, and heads to Japan. It is based on the comic by Chris Claremont and Frank Miller, and Mangold thought of it as Hugh Jackman in a Western in Japan, without the horse. To make sense of this movie mashup, the director tweeted images from the top ten inspirations for \"The Wolverine,\" daring fans to identify them. \n\nAstute fans of Mangold's body of work (which includes \"Cop Land,\" \"Walk the Line\" and \"3:10 to Yuma\") might have spotted the 1959 Yasujiro Ozu film \"Floating Weeds,\" since the director has cited it as one of the best films of all time as well as a major influence on his first film, \"Heavy.\" \n\n\"Ozu is the most underappreciated Japanese director, in my mind,\" Mangold said. \"For me, the whole trip that Logan takes south to the Nagasaki area, it's almost the reverse train trip that the older couple take in 'Tokyo Story.' \" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9068\": \"When does the installment take place?\"\n },\n {\n \"9069\": \"What movie had Jackman not seen?\"\n },\n {\n \"9070\": \"Where is Wolverine headed in the film?\"\n },\n {\n \"9071\": \"Who is the director?\"\n },\n {\n \"9072\": \"Where was the film set?\"\n },\n {\n \"9073\": \"What is the Wolverine based on?\"\n },\n {\n \"9074\": \"Who is the comic by?\"\n },\n {\n \"9075\": \"Who tweeted images?\"\n },\n {\n \"9076\": \"Who is Yasujiro Ozu?\"\n },\n {\n \"9077\": \"Did Mangold send Jackman a copy of a film?\"\n },\n {\n \"9078\": \"What film?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9068\",\n \"answer\": \"after \\\"X-Men: The Last Stand,\\\"\"\n },\n {\n \"question_id\": \"9069\",\n \"answer\": \"The Outlaw Josey Wales\"\n },\n {\n \"question_id\": \"9070\",\n \"answer\": \"Japan\"\n },\n {\n \"question_id\": \"9071\",\n \"answer\": \"James Mangold\"\n },\n {\n \"question_id\": \"9072\",\n \"answer\": \"Japan\"\n },\n {\n \"question_id\": \"9073\",\n \"answer\": \"a comic\"\n },\n {\n \"question_id\": \"9074\",\n \"answer\": \"Chris Claremont and Frank Miller\"\n },\n {\n \"question_id\": \"9075\",\n \"answer\": \"the director\"\n },\n {\n \"question_id\": \"9076\",\n \"answer\": \"a Japanese director\"\n },\n {\n \"question_id\": \"9077\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9078\",\n \"answer\": \"The Outlaw Josey Wales\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Lyon ( or ; , ; ), also known as \"Lyons\" , is a city in east-central France, in the Auvergne-Rhône-Alpes region, about from Paris, from Marseille and from Saint-Étienne. Inhabitants of the city are called \"Lyonnais\". \n\nLyon had a population of 506,615 in 2014 and is France's third-largest city after Paris and Marseille. Lyon is the capital of the Metropolis of Lyon and the region of Auvergne-Rhône-Alpes. The metropolitan area of Lyon had a population of 2,237,676 in 2013, the second-largest in France after Paris. \n\nThe city is known for its cuisine and gastronomy and historical and architectural landmarks and is a UNESCO World Heritage Site. Lyon was historically an important area for the production and weaving of silk. \n\nLyon played a significant role in the history of cinema: it is where Auguste and Louis Lumière invented the cinematographe. It is also known for its light festival, the Fête des Lumières, which begins every 8 December and lasts for four days, earning Lyon the title of Capital of Lights. \n\nEconomically, Lyon is a major centre for banking, as well as for the chemical, pharmaceutical, and biotech industries. The city contains a significant software industry with a particular focus on video games, and in recent years has fostered a growing local start-up sector. Lyon hosts the international headquarters of Interpol, Euronews, and International Agency for Research on Cancer. Lyon was ranked 19th globally and second in France for innovation in 2014. It ranked second in France and 39th globally in Mercer's 2015 liveability rankings.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4578\": \"Where did Lumiere invent cinematographe?\"\n },\n {\n \"4579\": \"Why is the city called the Capital of Lights?\"\n },\n {\n \"4580\": \"What is that called?\"\n },\n {\n \"4581\": \"Is that a month long festival?\"\n },\n {\n \"4582\": \"If I wanted to see all of it, when should I get there?\"\n },\n {\n \"4583\": \"Does the city have any historical landmarks?\"\n },\n {\n \"4584\": \"What about in architecture?\"\n },\n {\n \"4585\": \"What is the organization that lists areas of importance around the world?\"\n },\n {\n \"4586\": \"What textile is Lyon known for?\"\n },\n {\n \"4587\": \"Do they weave it or produce it?\"\n },\n {\n \"4588\": \"Is Lyon in Germany?\"\n },\n {\n \"4589\": \"Where then?\"\n },\n {\n \"4590\": \"What do they call that area of France?\"\n },\n {\n \"4591\": \"If I lived there, what would you call me?\"\n },\n {\n \"4592\": \"How many French cities are bigger?\"\n },\n {\n \"4593\": \"Is Paris one of them?\"\n },\n {\n \"4594\": \"And the other?\"\n },\n {\n \"4595\": \"Is it also known for its food?\"\n },\n {\n \"4596\": \"If I was a video game maker, could I find work there?\"\n },\n {\n \"4597\": \"What if I was a banker?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4578\",\n \"answer\": \"Lyon\"\n },\n {\n \"question_id\": \"4579\",\n \"answer\": \"it has a light festival\"\n },\n {\n \"question_id\": \"4580\",\n \"answer\": \"F\\u00eate des Lumi\\u00e8res\"\n },\n {\n \"question_id\": \"4581\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4582\",\n \"answer\": \"8 December\"\n },\n {\n \"question_id\": \"4583\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4584\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4585\",\n \"answer\": \"UNESCO World Heritage Site\"\n },\n {\n \"question_id\": \"4586\",\n \"answer\": \"silk\"\n },\n {\n \"question_id\": \"4587\",\n \"answer\": \"weave\"\n },\n {\n \"question_id\": \"4588\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4589\",\n \"answer\": \"east-central France\"\n },\n {\n \"question_id\": \"4590\",\n \"answer\": \"Auvergne-Rh\\u00f4ne-Alpes region\"\n },\n {\n \"question_id\": \"4591\",\n \"answer\": \"Lyonnais\"\n },\n {\n \"question_id\": \"4592\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"4593\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4594\",\n \"answer\": \"Marseille\"\n },\n {\n \"question_id\": \"4595\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4596\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4597\",\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 \"This is really a very fast game, the fastest I've seen so far this year. Both sides are fighting for the ball all the time. The crowd is loving every minute of it. They are shouting at the top of their voices.\" \n\n\"Wills has the ball now. This is only his third game for Scotland, but he's playing so well that it won't be his last. I'm quite sure.\" \n\n\"Wills passes the ball to Cotton. Cotton kicks it over the heads of the waiting Frenchmen, towards the goalmouth. But he's too far away, Dupond picks it up easily, and throws it to Patou, put on the left.\" \n\n\"France and Scotland still have one goal each, and there are only two minutes left of the game. But during that time, anything can happen. Patou kicks the ball across to Croat. It is a beautiful kick, but Steven jumps and just stops the ball with the side of his head. Meunier is there. He passes to Crozat, and Crozat, without waiting a second, puts the ball into the back of the goal. It takes everybody by surprise. I have never seen a goal like it.\" \n\n\"The game is over. France has won the cup.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51096\": \"What game is being played?\"\n },\n {\n \"51097\": \"What was won?\"\n },\n {\n \"51098\": \"by who?\"\n },\n {\n \"51099\": \"who did they play?\"\n },\n {\n \"51100\": \"what was the score 2 minutes before the end?\"\n },\n {\n \"51101\": \"Who kicked the ball?\"\n },\n {\n \"51102\": \"across to who?\"\n },\n {\n \"51103\": \"Did he get the goal?\"\n },\n {\n \"51104\": \"What happened?\"\n },\n {\n \"51105\": \"with his foot?\"\n },\n {\n \"51106\": \"with what?\"\n },\n {\n \"51107\": \"Who else was there?\"\n },\n {\n \"51108\": \"Who is the ball passed to next?\"\n },\n {\n \"51109\": \"and then what?\"\n },\n {\n \"51110\": \"Was it expected?\"\n },\n {\n \"51111\": \"Was the game slow going?\"\n },\n {\n \"51112\": \"How did the crowd feel?\"\n },\n {\n \"51113\": \"how do you know?\"\n },\n {\n \"51114\": \"Has Wills played a lot in Scotland?\"\n },\n {\n \"51115\": \"How many times?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"51096\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"51097\",\n \"answer\": \"the cup.\"\n },\n {\n \"question_id\": \"51098\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"51099\",\n \"answer\": \"Scotland\"\n },\n {\n \"question_id\": \"51100\",\n \"answer\": \"one goal each\"\n },\n {\n \"question_id\": \"51101\",\n \"answer\": \"Patou\"\n },\n {\n \"question_id\": \"51102\",\n \"answer\": \"Croat\"\n },\n {\n \"question_id\": \"51103\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51104\",\n \"answer\": \"Steven jumps and just stops the ball\"\n },\n {\n \"question_id\": \"51105\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51106\",\n \"answer\": \"with the side of his head.\"\n },\n {\n \"question_id\": \"51107\",\n \"answer\": \"Meunier\"\n },\n {\n \"question_id\": \"51108\",\n \"answer\": \"Crozat,\"\n },\n {\n \"question_id\": \"51109\",\n \"answer\": \"he scores the goal\"\n },\n {\n \"question_id\": \"51110\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51111\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51112\",\n \"answer\": \"loving every minute of it\"\n },\n {\n \"question_id\": \"51113\",\n \"answer\": \"They are shouting at the top of their voices.\\\"\"\n },\n {\n \"question_id\": \"51114\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51115\",\n \"answer\": \"3rd\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII \n\nWingate, notwithstanding his iron nerve, awoke with a start, in the grey of the following morning, to find his heart pounding against his ribs and a chill sense of horror stealing into his brain. Nothing had happened or was happening except that one cry,--the low, awful cry of a man in agony. He sat up, switched on the electric light by his side and gazed at the round table, his fingers clenched around the butt of his pistol. Dredlinton, from whom had come the sound, had fallen with his head and shoulders upon the table. His face was invisible, only there crept from his hidden lips a faint repetition of the cry,--the hideous sob, it might have been, as of a spirit descending into hell. Then there was silence. Phipps was sitting bolt upright, his eyes wide open, motionless but breathing heavily. He seemed to be in a state of coma, neither wholly asleep nor wholly conscious. Rees was leaning as far back in his chair as his cords permitted. His patch of high colour had gone; there was an ugly twist to his mouth, a livid tinge in his complexion, but nevertheless he slept. Wingate rose to his feet and watched. Phipps seemed keyed up to suffering. Dredlinton showed no sign. Their gaoler strolled up to the table. \n\n\"There is the bread there, Phipps,\" he said, \"a breakfast tray outside and some coffee. How goes it?\" \n\nPhipps turned his leaden face. His eyes glowed dully. \n\n\"Go to hell!\" he muttered. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73413\": \"Who was sleeping?\"\n },\n {\n \"73414\": \"Was he easily frightened?\"\n },\n {\n \"73415\": \"How did he feel when he woke?\"\n },\n {\n \"73416\": \"What did he hear?\"\n },\n {\n \"73417\": \"Where was it coming from?\"\n },\n {\n \"73418\": \"Where were the men?\"\n },\n {\n \"73419\": \"What does the gaoler offer them?\"\n },\n {\n \"73420\": \"Does Phipps appreciate the offer?\"\n },\n {\n \"73421\": \"Was Phipps asleep?\"\n },\n {\n \"73422\": \"Was he entirely awake?\"\n },\n {\n \"73423\": \"So what did he seem to be like?\"\n },\n {\n \"73424\": \"Was Rees asleep?\"\n },\n {\n \"73425\": \"What shape was the table?\"\n },\n {\n \"73426\": \"Was Rees tied up?\"\n },\n {\n \"73427\": \"What was in Wingate's hand?\"\n },\n {\n \"73428\": \"Did Wingate stay in bed?\"\n },\n {\n \"73429\": \"What time of day does the scene take place?\"\n },\n {\n \"73430\": \"Is it a bright morning?\"\n },\n {\n \"73431\": \"Did something occur while Wingate was asleep?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73413\",\n \"answer\": \"Wingate\"\n },\n {\n \"question_id\": \"73414\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73415\",\n \"answer\": \"terrified\"\n },\n {\n \"question_id\": \"73416\",\n \"answer\": \"a low, awful cry\"\n },\n {\n \"question_id\": \"73417\",\n \"answer\": \"Dredlinton\"\n },\n {\n \"question_id\": \"73418\",\n \"answer\": \"A gaol\"\n },\n {\n \"question_id\": \"73419\",\n \"answer\": \"bread and coffee\"\n },\n {\n \"question_id\": \"73420\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73421\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73422\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73423\",\n \"answer\": \"in a state of coma\"\n },\n {\n \"question_id\": \"73424\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73425\",\n \"answer\": \"it was round\"\n },\n {\n \"question_id\": \"73426\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73427\",\n \"answer\": \"a pistol\"\n },\n {\n \"question_id\": \"73428\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"73429\",\n \"answer\": \"morning\"\n },\n {\n \"question_id\": \"73430\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73431\",\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 first day my new teacher walked into our school in Spanish Harlem, I burst out laughing. Ron Clark was a young white guy from North Carolina who talked with a funny Southern accent . He said he used to be a singing waiter. I thought, who is this guy? He's a complete joke. \n\nIt was 1999 and I was in the fifth grade at New York City's P.S. 83. _ . I'd always been a troublemaker. I'd get yelled at, and then the teachers would give up on me. I thought that's what would happen with Ron Clark. \n\nI was wrong. That first week, I kept mocking him. He pulled me out to the hallway and said I'd better shape up. \"Tamara,\" he said, \"you're a smart kid. You can do better.\" \n\nHe told me I was a natural leader and that I'd go far in life if I started applying myself. I was mad at first, but then something happened: I began to respect him. There were 29 students in our class, and it didn't take long for us to realize that Ron Clark was no ordinary teacher. \n\nHe was only 27 and had the most unusual way of teaching. To help us learn the states and capitals, he changed the lyrics of a popular rap hit called \"Thong Song\" and had us sing and dance with him. When we read the Harry Potter books, he decorated our classroom like Hogwarts. And during the Presidential election, he put campaign posters on the walls and covered the room with 5,000 red, white and blue stars.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93252\": \"WHO WAS THE TEACHER\"\n },\n {\n \"93253\": \"WHERE WAS HE FROM\"\n },\n {\n \"93254\": \"WHERE DID HE TEACH\"\n },\n {\n \"93255\": \"WHAT NEIGHBORHOOD\"\n },\n {\n \"93256\": \"WHAT WAS HE PRIOR TO TEACHING\"\n },\n {\n \"93257\": \"WHO IS TELLING THE STORY\"\n },\n {\n \"93258\": \"DID SHE FIND HIM FUNNY\"\n },\n {\n \"93259\": \"WAS SHE RESPECTFUL\"\n },\n {\n \"93260\": \"DID HE HAVE FAITH IN HER\"\n },\n {\n \"93261\": \"WAS SHE A PROBLEM CHILD\"\n },\n {\n \"93262\": \"HOW MANY IN THE CLASS\"\n },\n {\n \"93263\": \"DID HE TEACH LIKE OTHERS\"\n },\n {\n \"93264\": \"HOW DID HE TEACH THE ABOUT THE U.S.\"\n },\n {\n \"93265\": \"WHAT KIND OF READING MATERIAL\"\n },\n {\n \"93266\": \"WHERE DID HE SAY TO HER\"\n },\n {\n \"93267\": \"WHAT ELSE\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93252\",\n \"answer\": \"Ron Clark\"\n },\n {\n \"question_id\": \"93253\",\n \"answer\": \"North Carolina\"\n },\n {\n \"question_id\": \"93254\",\n \"answer\": \"New York City's P.S. 83\"\n },\n {\n \"question_id\": \"93255\",\n \"answer\": \"Spanish Harlem\"\n },\n {\n \"question_id\": \"93256\",\n \"answer\": \"singing waiter\"\n },\n {\n \"question_id\": \"93257\",\n \"answer\": \"Tamara\"\n },\n {\n \"question_id\": \"93258\",\n \"answer\": \"He's a complete joke\"\n },\n {\n \"question_id\": \"93259\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93260\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93261\",\n \"answer\": \"She was always a troublemaker\"\n },\n {\n \"question_id\": \"93262\",\n \"answer\": \"29 students\"\n },\n {\n \"question_id\": \"93263\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93264\",\n \"answer\": \"He rewrote words to poplular rap music.\"\n },\n {\n \"question_id\": \"93265\",\n \"answer\": \"Harry Potter\"\n },\n {\n \"question_id\": \"93266\",\n \"answer\": \"I'd better shape up\"\n },\n {\n \"question_id\": \"93267\",\n \"answer\": \"a natural leader and that I'd go far in life if I started applying myself\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Yao Ming was born in China in 1980. Now the big name from China is playing for the Houston Rockets in the NBA. He is the son of two basketball players and he learned how to play basketball when he was young. Now, as one of the stars in the NBA, he is working hard to show the world that Chinese basketball players can do well in this game, too! Pele was a famous football player. He was born in Brazil in 1940. He started playing for Santos when he was only 16 and he didn't retire until 1977. He played for Brazil 111 times and he scored 97 international goals. Pele came from a poor family. He started playing football in the streets. He played for Santos and quickly became an international star. Steffi Graf was born in Germany in 1969. She won the tennis semi-final at Wimbledon in 1985 when she was only 16, but she lost the final to another great tennis player, Martina Navratilova. People were 'surprised at the strength and power of her game. She soon became a famous tennis player and won most of the main matches.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89436\": \"Who is playing for the Houston Rockets?\"\n },\n {\n \"89437\": \"What year was he born?\"\n },\n {\n \"89438\": \"What did his parents do?\"\n },\n {\n \"89439\": \"Who was born in Brazil?\"\n },\n {\n \"89440\": \"What was he famous for?\"\n },\n {\n \"89441\": \"Was he rich?\"\n },\n {\n \"89442\": \"Who lost in Wimbledon to Martina Navratilova?\"\n },\n {\n \"89443\": \"Where was she born?\"\n },\n {\n \"89444\": \"When age did she win semi-final at Wimbledon?\"\n },\n {\n \"89445\": \"How many times did Pele play for Brazil?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89436\",\n \"answer\": \"Yao Ming\"\n },\n {\n \"question_id\": \"89437\",\n \"answer\": \"1980\"\n },\n {\n \"question_id\": \"89438\",\n \"answer\": \"basketball players\"\n },\n {\n \"question_id\": \"89439\",\n \"answer\": \"Pele\"\n },\n {\n \"question_id\": \"89440\",\n \"answer\": \"Being a famous football player\"\n },\n {\n \"question_id\": \"89441\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"89442\",\n \"answer\": \"Steffi Graf\"\n },\n {\n \"question_id\": \"89443\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"89444\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"89445\",\n \"answer\": \"111\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 VII. \n\n\n\nIt is not worth while to go on describing every day at Stokesley, since lessons were far too much alike; and play-times, though varied enough for the house of Merrifield, might be less entertaining to the readers. \n\nEnough to say, that by Saturday afternoon John had not only forfeited his last farthing, but was charged with another into next week, for the poor pleasure of leaving his hat on the school-room floor because Elizabeth had told him of it. At about four o'clock it set in for rain, catching the party at some distance from home, so that, though they made good speed, the dust turned into mud, and clung fast to their shoes. \n\nDavid, never the best runner, was only in time to catch Johnnie by the skirt upon the third step of the staircase, crying out, \"The pig!\" but Johnnie, tired of the subject, and in a provoking mood, twitched away his pinafore, crying, \"Bother the pig!\" and rushed up after the four who had preceded him, leaving such lumps of dirt on the edge of every step, that when Miss Fosbrook came after with Elizabeth she could not but declare that a shower was a costly article. \n\n\"You see,\" observed Susan, \"when it's such fine weather it puts one's feet out of one's head.\" \n\nWhile Sam, Henry, and Bessie were laughing at Susan for this speech, little George trotted in, crying out, \"Halty man come, Halty man come; Georgie want sweetie!\" \n\n\"The Gibraltar man!\" cried John and Annie with one voice, and they were at the bottom of the stairs with a bound. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49764\": \"what time was the rain to start\"\n },\n {\n \"49765\": \"was there mud?\"\n },\n {\n \"49766\": \"who called Johnnie a pig\"\n },\n {\n \"49767\": \"what did little george cry out\"\n },\n {\n \"49768\": \"where were the play-times\"\n },\n {\n \"49769\": \"were the times varied\"\n },\n {\n \"49770\": \"what day was it\"\n },\n {\n \"49771\": \"who gave up his last bit of money\"\n },\n {\n \"49772\": \"did they like the rain\"\n },\n {\n \"49773\": \"what did George say he wanted\"\n },\n {\n \"49774\": \"who was not the best runner\"\n },\n {\n \"49775\": \"who twitched his pinafore\"\n },\n {\n \"49776\": \"who yelled in sync, The Gbraltar man\"\n },\n {\n \"49777\": \"were they at the top of the stairs\"\n },\n {\n \"49778\": \"why did author not describe every day at Stokesley\"\n },\n {\n \"49779\": \"why was John fined another bit of money the next week\"\n },\n {\n \"49780\": \"where did he leave it\"\n },\n {\n \"49781\": \"who told him of it\"\n },\n {\n \"49782\": \"what time of day was it? morning or afternoon\"\n },\n {\n \"49783\": \"did the dust turn to mud??\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49764\",\n \"answer\": \"four o'clock\"\n },\n {\n \"question_id\": \"49765\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49766\",\n \"answer\": \"David,\"\n },\n {\n \"question_id\": \"49767\",\n \"answer\": \"\\\"Halty man come, Halty man come; Georgie want sweetie!\\\"\"\n },\n {\n \"question_id\": \"49768\",\n \"answer\": \"house of Merrifield\"\n },\n {\n \"question_id\": \"49769\",\n \"answer\": \"enough\"\n },\n {\n \"question_id\": \"49770\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"49771\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"49772\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49773\",\n \"answer\": \"a sweetie\"\n },\n {\n \"question_id\": \"49774\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"49775\",\n \"answer\": \"Johnnie\"\n },\n {\n \"question_id\": \"49776\",\n \"answer\": \"John and Annie\"\n },\n {\n \"question_id\": \"49777\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49778\",\n \"answer\": \"lessons were far too much alike;\"\n },\n {\n \"question_id\": \"49779\",\n \"answer\": \"left his hat\"\n },\n {\n \"question_id\": \"49780\",\n \"answer\": \"the floor\"\n },\n {\n \"question_id\": \"49781\",\n \"answer\": \"Elizabeth\"\n },\n {\n \"question_id\": \"49782\",\n \"answer\": \"afternoon\"\n },\n {\n \"question_id\": \"49783\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- The lawyer for the neighborhood watch leader who fatally shot unarmed 17-year-old Trayvon Martin in Sanford, Florida, said Thursday that his client has received about $200,000 from supporters. \n\nOrlando lawyer Mark O'Mara told CNN's \"AC360\" that George Zimmerman told him Wednesday of the donations as they were trying to shut down his Internet presence to avoid concerns about possible impersonators and problems with his Twitter and Facebook accounts. \n\n\"He asked me what to do with his PayPal accounts and I asked him what he was talking about,\" O'Mara told Anderson Cooper. \"And he said those were the accounts that had the money from the website he had. And there was about 200, $204,000 that had come in to date.\" \n\nO'Mara had said earlier this month that he believed Zimmerman had no money. \"I think he's indigent for costs,\" he said, adding that Zimmerman's relatives had few assets. \n\nZimmerman, 28, was released Monday on $150,000 bail, 10% of which his family put up to secure his release. He is accused of second-degree murder in the February 26 death of Martin, who was African-American. Critics have accused him of racially profiling Martin and unjustly killing him. He has said he shot in self-defense. \n\nAsked whether knowledge of the money might have made a difference to Judge Kenneth Lester Jr., who presided at Zimmerman's bond hearing, O'Mara said, \"It might have.\" \n\nO'Mara continued, \"I'm certainly going to disclose it to the court tomorrow -- coincidentally, we have a hearing.\" \n\nHe said he was prepared to \"deal with any fallout,\" but predicted Lester would not feel misled. \"I told him what I knew at the time, which was exactly what I was aware of.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28898\": \"What was the amount that the neighboorhood watch leader recieved?\"\n },\n {\n \"28899\": \"Who did he recieve that money from?\"\n },\n {\n \"28900\": \"Who did he shoot?\"\n },\n {\n \"28901\": \"How old was Trayvon?\"\n },\n {\n \"28902\": \"Was he armed?\"\n },\n {\n \"28903\": \"Where did the shooting take place?\"\n },\n {\n \"28904\": \"Where is Mark O'Mara from?\"\n },\n {\n \"28905\": \"When did he talk to CNN?\"\n },\n {\n \"28906\": \"Why were they trying to shut down his internet presence?\"\n },\n {\n \"28907\": \"What other accounts did he ask O'Mara about?\"\n },\n {\n \"28908\": \"Why was he concerned about his PayPal accounts?\"\n },\n {\n \"28909\": \"Did Zimmerman's relatives have any assets?\"\n },\n {\n \"28910\": \"What day of the week was Zimmerman released on?\"\n },\n {\n \"28911\": \"How much was his bail?\"\n },\n {\n \"28912\": \"What percent did his family have to put up for his release?\"\n },\n {\n \"28913\": \"What is he accused of?\"\n },\n {\n \"28914\": \"What date did the muder take place?\"\n },\n {\n \"28915\": \"What have Critics accused Zimmerman of?\"\n },\n {\n \"28916\": \"What does Zimmerman say?\"\n },\n {\n \"28917\": \"Who was the judge?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28898\",\n \"answer\": \"about $200,000\"\n },\n {\n \"question_id\": \"28899\",\n \"answer\": \"supporters\"\n },\n {\n \"question_id\": \"28900\",\n \"answer\": \"Trayvon Martin\"\n },\n {\n \"question_id\": \"28901\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"28902\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"28903\",\n \"answer\": \"in Sanford, Florida\"\n },\n {\n \"question_id\": \"28904\",\n \"answer\": \"Orlando\"\n },\n {\n \"question_id\": \"28905\",\n \"answer\": \"after Wednesday\"\n },\n {\n \"question_id\": \"28906\",\n \"answer\": \"to avoid concerns about possible impersonators and problems with his Twitter and Facebook accounts.\"\n },\n {\n \"question_id\": \"28907\",\n \"answer\": \"his PayPal accounts\"\n },\n {\n \"question_id\": \"28908\",\n \"answer\": \"the accounts that had the money from the website he had.\"\n },\n {\n \"question_id\": \"28909\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"28910\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"28911\",\n \"answer\": \"$150,000\"\n },\n {\n \"question_id\": \"28912\",\n \"answer\": \"10%\"\n },\n {\n \"question_id\": \"28913\",\n \"answer\": \"second-degree murder\"\n },\n {\n \"question_id\": \"28914\",\n \"answer\": \"February 26\"\n },\n {\n \"question_id\": \"28915\",\n \"answer\": \"racially profiling Martin and unjustly killing him\"\n },\n {\n \"question_id\": \"28916\",\n \"answer\": \"he shot in self-defense.\"\n },\n {\n \"question_id\": \"28917\",\n \"answer\": \"Judge Kenneth Lester Jr.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER V \n\nTHE DEFEAT OF THE BULLY \n\n\"Go ahead, Jack! You've got to win!\" \n\n\"Don't let 'em beat you, Bill. Put it all over those Rovers.\" \n\n\"Oh, Jack, don't let them get the best of you!\" cried Ruth. \n\n\"You've got to win!\" screamed Martha. \n\n\"Here is where Glutts shows 'em what the _Yellow Streak_ can do!\" \n\nSo the cries ran on as the two bobsleds slowly gathered momentum and started down the long slope leading to Clearwater Lake. \n\nAt the beginning Glutts had a little the better of it, because the right side of the slide seemed to be more slippery than the other. He was the first to gain the top of the nearest rise and he shot over this while Jack's bobsled was still climbing the slope. \n\n\"Hurrah! Bill Glutts is ahead!\" \n\n\"He said the _Yellow Streak_ could beat any thing in this vicinity.\" \n\n\"Oh, do you really think Glutts will win?\" questioned Ruth anxiously, as she turned to Dan Soppinger. \n\n\"Well, I should hope not!\" answered Dan. \n\n\"If he does win there will be no holding him down,\" put in Ned Lowe, another chum of the Rovers. \"He'll crow to beat the band all winter.\" \n\nForward went the two bobsleds, each steersman doing his best to guide his sled where running might be the easiest. \n\nJust as Jack topped the first rise and started to speed down on the other side, he saw Bill Glutts start to resume his old tactics. The bully was running close to the center of the course, and now he overlapped the other side by at least six inches. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4881\": \"What does Gluttts show them?\"\n },\n {\n \"4882\": \"Does Dan want the Glutts to win?\"\n },\n {\n \"4883\": \"Was Glutts nice?\"\n },\n {\n \"4884\": \"What was he?\"\n },\n {\n \"4885\": \"by how much did he take over the other side?\"\n },\n {\n \"4886\": \"who noticed that?\"\n },\n {\n \"4887\": \"when?\"\n },\n {\n \"4888\": \"how?\"\n },\n {\n \"4889\": \"what did he see?\"\n },\n {\n \"4890\": \"were they trying to take difficult routes?\"\n },\n {\n \"4891\": \"what were thy trying to do?\"\n },\n {\n \"4892\": \"guide them where?\"\n },\n {\n \"4893\": \"were they going backwards?\"\n },\n {\n \"4894\": \"what was the chapter title?\"\n },\n {\n \"4895\": \"was Glutts ever winning?\"\n },\n {\n \"4896\": \"who won in the end?\"\n },\n {\n \"4897\": \"who was another friend of the Rovers?\"\n },\n {\n \"4898\": \"Was he yelling negative things?\"\n },\n {\n \"4899\": \"Who had an advantage in the beginning?\"\n },\n {\n \"4900\": \"how?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4881\",\n \"answer\": \"what the _Yellow Streak_ can do\"\n },\n {\n \"question_id\": \"4882\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4883\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4884\",\n \"answer\": \"a bully\"\n },\n {\n \"question_id\": \"4885\",\n \"answer\": \"at least six inches\"\n },\n {\n \"question_id\": \"4886\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"4887\",\n \"answer\": \"Just as he topped the first rise\"\n },\n {\n \"question_id\": \"4888\",\n \"answer\": \"as he sped down on the other side\"\n },\n {\n \"question_id\": \"4889\",\n \"answer\": \"Glutts start to resume his old tactics\"\n },\n {\n \"question_id\": \"4890\",\n \"answer\": \"easiest\"\n },\n {\n \"question_id\": \"4891\",\n \"answer\": \"guide their sleds\"\n },\n {\n \"question_id\": \"4892\",\n \"answer\": \"where running might be the easiest\"\n },\n {\n \"question_id\": \"4893\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4894\",\n \"answer\": \"THE DEFEAT OF THE BULLY\"\n },\n {\n \"question_id\": \"4895\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4896\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"4897\",\n \"answer\": \"Ned Lowe\"\n },\n {\n \"question_id\": \"4898\",\n \"answer\": \"\\\"If he does win there will be no holding him down,\"\n },\n {\n \"question_id\": \"4899\",\n \"answer\": \"Glutts\"\n },\n {\n \"question_id\": \"4900\",\n \"answer\": \"because the right side of the slide seemed to be more slippery\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Was there ever any doubt? \n\nWhen it mattered most, the man which this Brazilian team's quest may depend on, delivered once again. \n\nNeymar, the face of this World Cup, scored his fourth goal in three games to book his country a date with destiny and Chile in Belo Horizonte on Saturday. \n\nThe 22-year-old, for so long hailed as the savior of Brazilian football, has not disappointed at a time where the likes of Portugal's World Player of the Year Cristiano Ronaldo have flattered to deceive. \n\nWhile Lionel Messi has rescued Argentina, Neymar's 35th goal in 52 international appearances gives an insight into how crucial his role is likely to be in the next few weeks should Brazil go all the way. \n\nHis two goals and further strikes from the much maligned Fred and substitute Fernandinho ensured Brazil claimed a 4-1 win over Cameroon and secured top spot in Group A. \n\nMexico, which defeated Croatia 3-1, took second place and will now face the Netherlands in Fortaleza on Sunday. \n\nBut the night belonged to Neymar -- the man who scored the 100th goal of this tournament in his country's 100th match World Cup match. \n\nBrazil will need its talisman to provide his magic once again when it meets Chile, a team which it knocked out of the tournament four years ago in South Africa. \n\nJorge Sampaoli's men will represent a far more difficult proposition than a Cameroon side which briefly threatened to cause embarrassment by drawing level at 1-1. \n\nBut Neymar, having already netted the opener, then took charge by scoring his side's second and guiding Brazil home. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61774\": \"Who did Mexico beat 3-1?\"\n },\n {\n \"61775\": \"Who is the face of this World Cup?\"\n },\n {\n \"61776\": \"How many goals did he score in three games?\"\n },\n {\n \"61777\": \"How old was he?\"\n },\n {\n \"61778\": \"Where is he from?\"\n },\n {\n \"61779\": \"Who will Mexico now play on Sunday?\"\n },\n {\n \"61780\": \"Where are they playing?\"\n },\n {\n \"61781\": \"Who was Portugal's World Player of the Year?\"\n },\n {\n \"61782\": \"Who saved Argentina?\"\n },\n {\n \"61783\": \"How many goals did Neymar get in 52 appearances?\"\n },\n {\n \"61784\": \"When was the date with Chile?\"\n },\n {\n \"61785\": \"On what day of the week was the date with destiny going to be?\"\n },\n {\n \"61786\": \"What was the score between Brazil and Cameroon?\"\n },\n {\n \"61787\": \"And what spot did it get Brazil?\"\n },\n {\n \"61788\": \"Who owned the night?\"\n },\n {\n \"61789\": \"Where did Brazil play Chile four years ago?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61774\",\n \"answer\": \"Croatia\"\n },\n {\n \"question_id\": \"61775\",\n \"answer\": \"Neymar\"\n },\n {\n \"question_id\": \"61776\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"61777\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"61778\",\n \"answer\": \"Brazilian\"\n },\n {\n \"question_id\": \"61779\",\n \"answer\": \"he Netherlands\"\n },\n {\n \"question_id\": \"61780\",\n \"answer\": \"in Fortaleza\"\n },\n {\n \"question_id\": \"61781\",\n \"answer\": \"Cristiano Ronaldo\"\n },\n {\n \"question_id\": \"61782\",\n \"answer\": \"Lionel Messi\"\n },\n {\n \"question_id\": \"61783\",\n \"answer\": \"52\"\n },\n {\n \"question_id\": \"61784\",\n \"answer\": \"four years\"\n },\n {\n \"question_id\": \"61785\",\n \"answer\": \"Saturday.\"\n },\n {\n \"question_id\": \"61786\",\n \"answer\": \"4-1\"\n },\n {\n \"question_id\": \"61787\",\n \"answer\": \"top spot in Group A.\"\n },\n {\n \"question_id\": \"61788\",\n \"answer\": \"Neymar\"\n },\n {\n \"question_id\": \"61789\",\n \"answer\": \"South Africa.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mikhail Furtado was extremely worried about his 12th-grade exams. \n\nA few days before he was due to get his results, his father walked in and found him dead. \n\n\"I opened the cottage door, put the light on and I found him hanging. He was hanging,\" Anthony Furtado says. \n\nWhen the results came out, his father learned that Mikhail had sailed through with good grades. \n\nHe says he still can't bring himself to go and collect the results. \n\nBut Furtado is trying to use his devastating experience to benefit others. He provides counseling and is a regular at suicide prevention workshops. \n\n\"Sometimes, at the end, I do break down,\" he says. \n\nHighest rate in the world among young \n\nThe scale of the problem among India's young people is huge. \n\nAccording to a recent World Health Organization report, India has the highest suicide rate in the world for the 15-to-29 age group. It stands at 35.5 per 100,000 people for 2012, the last year for which numbers are available. \n\nAcross all age groups, nearly 260,000 people in India killed themselves that year. \n\nBobby Zachariah, who runs a suicide prevention group, says he blames a breakdown in India's traditional family structure. \n\n\"There were big families, there was a lot of support available,\" he says. \n\n\"Nowadays, there is one child in the family,\" Zachariah says. \"And the kind of parenting styles that were applied to them when they were kids doesn't apply to their children any more.\" \n\nReducing stigma \n\nSome experts say a key problem is that families brush mental health issues under the carpet rather than facing them head on. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35886\": \"What grade was Mikhail Furtado in?\"\n },\n {\n \"35887\": \"Was he confident he would receive good exam grades?\"\n },\n {\n \"35888\": \"Is he alive?\"\n },\n {\n \"35889\": \"What caused his death?\"\n },\n {\n \"35890\": \"Did he receive good exam grades?\"\n },\n {\n \"35891\": \"Who discovered his body?\"\n },\n {\n \"35892\": \"What is his name?\"\n },\n {\n \"35893\": \"What country did this happen in?\"\n },\n {\n \"35894\": \"Does India have a high suicide rate among young people?\"\n },\n {\n \"35895\": \"How does Anthony Furtado now work to prevent suicide?\"\n },\n {\n \"35896\": \"How does Bobby Zachariah now work to prevent suicide?\"\n },\n {\n \"35897\": \"According to Zachariah, are Indian families larger or smaller than they were?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35886\",\n \"answer\": \"12th\"\n },\n {\n \"question_id\": \"35887\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35888\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35889\",\n \"answer\": \"he committed suicide\"\n },\n {\n \"question_id\": \"35890\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35891\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"35892\",\n \"answer\": \"Anthony Furtado\"\n },\n {\n \"question_id\": \"35893\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"35894\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35895\",\n \"answer\": \"Furtado is trying to use his devastating experience to benefit others. He provides counseling and is a regular at suicide prevention workshops.\"\n },\n {\n \"question_id\": \"35896\",\n \"answer\": \"He runs a suicide prevention group\"\n },\n {\n \"question_id\": \"35897\",\n \"answer\": \"smaller\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)It was 3:30 in the morning when Robert Alan Black was escorted into Khalifa jail. \n\nAn American in Abu Dhabi, he found himself frightened even though the other prisoners were sleeping. Movie scenes from \"Midnight Express\" and \"Brubaker\" swirled through his head. \n\nHe sat at a table in the common area, waiting for the others to wake, not knowing what the reaction would be to his presence. \n\nBlack, who has a degree in architecture, three master's degrees and a doctorate in educational psychology, was in Abu Dhabi, the capital of United Arab Emirates, for October's Creative Thinkers Conference. He was to present a workshop and emcee the event. \n\nOn a Tuesday morning, the 70-year-old got up early to take a walk in the neighborhoods near his hotel. An avid photographer, Black took his camera to snap photos of houses and a couple of the mosques he passed. \n\nWhen he left the second mosque, he was approached by a man in uniform. He motioned Black to get into a camouflaged truck. \n\n\"I had no idea what he wanted,\" Black said, \"but never felt threatened so I got in.\" \n\nHe was driven a short distance to a building with a sign out front that read \"Reception.\" He waited about an hour before he was guided back outside and told, \"Do not photograph security areas.\" \n\nBlack asked for clarification, but he was waved away with no further explanation, he said. \n\nHe decided to continue his walk. A few blocks away, he came upon a sign on a lamppost that said in English, \"Photography Forbidden.\" Thinking a photo of the sign would make for a novel Facebook post, he snapped an image. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15906\": \"Name a film Black thought of.\"\n },\n {\n \"15907\": \"And the other?\"\n },\n {\n \"15908\": \"Where was Black taken?\"\n },\n {\n \"15909\": \"When?\"\n },\n {\n \"15910\": \"How many mosques did he visit?\"\n },\n {\n \"15911\": \"What was he forbidden to take pictures of?\"\n },\n {\n \"15912\": \"And what kind of areas?\"\n },\n {\n \"15913\": \"What kind of vehicle did Black board?\"\n },\n {\n \"15914\": \"Who bid him to board?\"\n },\n {\n \"15915\": \"Did Black feel like getting in the vehicle was dangerous?\"\n },\n {\n \"15916\": \"True or False: The first sign mentioned said \\\"Reception.\\\"\"\n },\n {\n \"15917\": \"Did Black take a picture of the second sign?\"\n },\n {\n \"15918\": \"Why?\"\n },\n {\n \"15919\": \"How old is Black?\"\n },\n {\n \"15920\": \"What is his nationality?\"\n },\n {\n \"15921\": \"Is he well-educated?\"\n },\n {\n \"15922\": \"How many master's degrees does he hold?\"\n },\n {\n \"15923\": \"What is he a Doctor of?\"\n },\n {\n \"15924\": \"Why was he in Abu Dhabi?\"\n },\n {\n \"15925\": \"And for what conference?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"15906\",\n \"answer\": \"Midnight Express\"\n },\n {\n \"question_id\": \"15907\",\n \"answer\": \"Brubaker\"\n },\n {\n \"question_id\": \"15908\",\n \"answer\": \"A Khalifa jail\"\n },\n {\n \"question_id\": \"15909\",\n \"answer\": \"3:30 in the morning\"\n },\n {\n \"question_id\": \"15910\",\n \"answer\": \"a couple\"\n },\n {\n \"question_id\": \"15911\",\n \"answer\": \"A Sign\"\n },\n {\n \"question_id\": \"15912\",\n \"answer\": \"security areas.\\\"\"\n },\n {\n \"question_id\": \"15913\",\n \"answer\": \"a camouflaged truck\"\n },\n {\n \"question_id\": \"15914\",\n \"answer\": \"a man in uniform\"\n },\n {\n \"question_id\": \"15915\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15916\",\n \"answer\": \"true\"\n },\n {\n \"question_id\": \"15917\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15918\",\n \"answer\": \"It would make a novel Facebook post\"\n },\n {\n \"question_id\": \"15919\",\n \"answer\": \"70\"\n },\n {\n \"question_id\": \"15920\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"15921\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15922\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"15923\",\n \"answer\": \"educational psychology\"\n },\n {\n \"question_id\": \"15924\",\n \"answer\": \"for taking photographs\"\n },\n {\n \"question_id\": \"15925\",\n \"answer\": \"October's Creative Thinkers Conference\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Architecturally, the school has a Catholic character. Atop the Main Building's gold dome is a golden statue of the Virgin Mary. Immediately in front of the Main Building and facing it, is a copper statue of Christ with arms upraised with the legend \"Venite Ad Me Omnes\". Next to the Main Building is the Basilica of the Sacred Heart. Immediately behind the basilica is the Grotto, a Marian place of prayer and reflection. It is a replica of the grotto at Lourdes, France where the Virgin Mary reputedly appeared to Saint Bernadette Soubirous in 1858. At the end of the main drive (and in a direct line that connects through 3 statues and the Gold Dome), is a simple, modern stone statue of Mary. \n\nAs at most other universities, Notre Dame's students run a number of news media outlets. The nine student-run outlets include three newspapers, both a radio and television station, and several magazines and journals. Begun as a one-page journal in September 1876, the Scholastic magazine is issued twice monthly and claims to be the oldest continuous collegiate publication in the United States. The other magazine, The Juggler, is released twice a year and focuses on student literature and artwork. The Dome yearbook is published annually. The newspapers have varying publication interests, with The Observer published daily and mainly reporting university and other news, and staffed by students from both Notre Dame and Saint Mary's College. Unlike Scholastic and The Dome, The Observer is an independent publication and does not have a faculty advisor or any editorial oversight from the University. In 1987, when some students believed that The Observer began to show a conservative bias, a liberal newspaper, Common Sense was published. Likewise, in 2003, when other students believed that the paper showed a liberal bias, the conservative paper Irish Rover went into production. Neither paper is published as often as The Observer; however, all three are distributed to all students. Finally, in Spring 2008 an undergraduate journal for political science research, Beyond Politics, made its debut.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92738\": \"What is the institution of focus?\"\n },\n {\n \"92739\": \"What is the place's character?\"\n },\n {\n \"92740\": \"Who runs media outlets at the school?\"\n },\n {\n \"92741\": \"How many are there?\"\n },\n {\n \"92742\": \"Do they have a TV Station?\"\n },\n {\n \"92743\": \"Do they have a radio station?\"\n },\n {\n \"92744\": \"What about magazines and journals?\"\n },\n {\n \"92745\": \"What is the name of their magazine?\"\n },\n {\n \"92746\": \"When does it run?\"\n },\n {\n \"92747\": \"How often is the yearbook published?\"\n },\n {\n \"92748\": \"What's its name?\"\n },\n {\n \"92749\": \"Which publication comes out daily?\"\n },\n {\n \"92750\": \"Who shares in its publications?\"\n },\n {\n \"92751\": \"Why did the Common Sense publication come about?\"\n },\n {\n \"92752\": \"When did this happen?\"\n },\n {\n \"92753\": \"What type of paper is Common Sense?\"\n },\n {\n \"92754\": \"Which students receive these papers?\"\n },\n {\n \"92755\": \"When did Beyond Politics come out?\"\n },\n {\n \"92756\": \"What type of publication is it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92738\",\n \"answer\": \"Notre Dame\"\n },\n {\n \"question_id\": \"92739\",\n \"answer\": \"Catholic character\"\n },\n {\n \"question_id\": \"92740\",\n \"answer\": \"student-run\"\n },\n {\n \"question_id\": \"92741\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"92742\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92743\",\n \"answer\": \"Yes :)\"\n },\n {\n \"question_id\": \"92744\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92745\",\n \"answer\": \"the Scholastic magazine\"\n },\n {\n \"question_id\": \"92746\",\n \"answer\": \"twice monthly\"\n },\n {\n \"question_id\": \"92747\",\n \"answer\": \"annually\"\n },\n {\n \"question_id\": \"92748\",\n \"answer\": \"The Dome\"\n },\n {\n \"question_id\": \"92749\",\n \"answer\": \"The Observer\"\n },\n {\n \"question_id\": \"92750\",\n \"answer\": \"students from both Notre Dame and Saint Mary's College\"\n },\n {\n \"question_id\": \"92751\",\n \"answer\": \"The Observer began to show a conservative bias\"\n },\n {\n \"question_id\": \"92752\",\n \"answer\": \"1987\"\n },\n {\n \"question_id\": \"92753\",\n \"answer\": \"a liberal newspaper,\"\n },\n {\n \"question_id\": \"92754\",\n \"answer\": \"all students\"\n },\n {\n \"question_id\": \"92755\",\n \"answer\": \"Spring 2008\"\n },\n {\n \"question_id\": \"92756\",\n \"answer\": \"an undergraduate journal for political science research\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 wife of imprisoned U.S. State Department contractor Alan Gross traveled to Cuba Tuesday as part of her ongoing effort to free her husband. \n\nJudy Gross did not talk to a CNN reporter outside Havana's Jose Marti International Airport, and she and Gross' attorney quickly boarded a bus provided by the Cuban government. \n\nLast week, Gross' mother died after a long fight with cancer, Gross' attorney, Scott Gilbert, said. \n\nThe Cuban government refused Gross' request to travel to the United States to say goodbye to Evelyn Gross before she died. Gross had promised that after seeing his mother he would return to his prison cell at a military hospital in Havana. \n\n\"We would like to convey our heartfelt condolences to his relatives,\" Cuban Ministry of Foreign Affairs official Josefina Vidal said in a statement. \"It is necessary to clarify that neither the Cuban penitentiary system nor the U.S. penitentiary system provide the possibility for inmates to travel abroad, no matter the reason. \" \n\nGross, 65, is serving a 15-year sentence for bringing satellite communications equipment to Cuba as part of his work as a subcontractor for the U.S. Agency for International Development. He was convicted in March 2011. \n\nU.S. officials said Gross was merely trying to help Cubans bypass the island's stringent restrictions on Internet access and have said his imprisonment is one of the major obstacles to improved relations with Cuba. \n\nIn April, Gross embarked on a hunger strike to protest his continued imprisonment. He later said he was suspending his hunger strike after his mother pleaded with him to begin eating again. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84289\": \"Who was trying to free her husband?\\\\\"\n },\n {\n \"84290\": \"What is the womans name who is trying to free her husband?\"\n },\n {\n \"84291\": \"What airport was she standing outside where she talked to a CNN reporter?\"\n },\n {\n \"84292\": \"What did the Cuban Ministry of foreign affairs say that's it's necessary to clarify?\"\n },\n {\n \"84293\": \"How long a sentence is Gross serving?\"\n },\n {\n \"84294\": \"What is it he did?\"\n },\n {\n \"84295\": \"Who provided a bus for Judy Gross and her Attorney from the airport?\"\n },\n {\n \"84296\": \"What is the name of the gross attorney?\"\n },\n {\n \"84297\": \"WHat is it U.S. officials say gross was trying to help Cubans do?\"\n },\n {\n \"84298\": \"What kind of strike did gross go on in April?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"84289\",\n \"answer\": \"Alan Gross\"\n },\n {\n \"question_id\": \"84290\",\n \"answer\": \"Judy Gross\"\n },\n {\n \"question_id\": \"84291\",\n \"answer\": \"Havana's Jose Marti International Airport\"\n },\n {\n \"question_id\": \"84292\",\n \"answer\": \"It is necessary to clarify that neither the Cuban penitentiary system nor the U.S. penitentiary system provide the possibility for inmates to travel abroad, no matter the reason\"\n },\n {\n \"question_id\": \"84293\",\n \"answer\": \"15-year\"\n },\n {\n \"question_id\": \"84294\",\n \"answer\": \"brought communications equipment to cuba\"\n },\n {\n \"question_id\": \"84295\",\n \"answer\": \"the Cuban government\"\n },\n {\n \"question_id\": \"84296\",\n \"answer\": \"Scott Gilbert\"\n },\n {\n \"question_id\": \"84297\",\n \"answer\": \"trying to help Cubans bypass the island's stringent restrictions on Internet access\"\n },\n {\n \"question_id\": \"84298\",\n \"answer\": \"a hunger strike\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Lima (, , Quechua: , Aymara: ) is the capital and the largest city of Peru. It is located in the valleys of the Chillón, Rímac and Lurín rivers, in the central coastal part of the country, overlooking the Pacific Ocean. Together with the seaport of Callao, it forms a contiguous urban area known as the Lima Metropolitan Area. With a population of more than 10 million, Lima is the most populous metropolitan area of Peru and the third-largest city in the Americas (as defined by \"city proper\"), behind São Paulo and Mexico City. \n\nLima was founded by Spanish conquistador Francisco Pizarro on January 18, 1535, as \"Ciudad de los Reyes\". It became the capital and most important city in the Spanish Viceroyalty of Peru. Following the Peruvian War of Independence, it became the capital of the Republic of Peru. Around one-third of the national population lives in the metropolitan area. \n\nLima is home to one of the oldest higher-learning institutions in the New World. The National University of San Marcos, founded on May 12, 1551 during the Spanish colonial regime, is the oldest continuously functioning university in the Americas. \n\nIn October 2013 Lima was chosen to host the 2019 Pan American Games. It also hosted the December 2014 United Nations Climate Change Conference and the Miss Universe 1982 pageant.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3855\": \"what is its urban area known as?\"\n },\n {\n \"3856\": \"what is that compsed of?\"\n },\n {\n \"3857\": \"Who founded it?\"\n },\n {\n \"3858\": \"when?\"\n },\n {\n \"3859\": \"what is the population?\"\n },\n {\n \"3860\": \"do many live in the metro area?\"\n },\n {\n \"3861\": \"about how many?\"\n },\n {\n \"3862\": \"what is it the capital of?\"\n },\n {\n \"3863\": \"when did it become the capital?\"\n },\n {\n \"3864\": \"what is it home to?\"\n },\n {\n \"3865\": \"which one?\"\n },\n {\n \"3866\": \"when was it founded?\"\n },\n {\n \"3867\": \"who ruled then?\"\n },\n {\n \"3868\": \"what did it host in 2014?\"\n },\n {\n \"3869\": \"how about in 1982?\"\n },\n {\n \"3870\": \"what part of the country can you find it?\"\n },\n {\n \"3871\": \"What ocean?\"\n },\n {\n \"3872\": \"how does it rank in size for the Americas?\"\n },\n {\n \"3873\": \"which two are larger?\"\n },\n {\n \"3874\": \"What nationality was the founder?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3855\",\n \"answer\": \"Lima Metropolitan Area\"\n },\n {\n \"question_id\": \"3856\",\n \"answer\": \"Lima and Callao\"\n },\n {\n \"question_id\": \"3857\",\n \"answer\": \"Pizarro\"\n },\n {\n \"question_id\": \"3858\",\n \"answer\": \"1535\"\n },\n {\n \"question_id\": \"3859\",\n \"answer\": \"More than 10 million\"\n },\n {\n \"question_id\": \"3860\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3861\",\n \"answer\": \"Around one-third of the national population\"\n },\n {\n \"question_id\": \"3862\",\n \"answer\": \"Peru\"\n },\n {\n \"question_id\": \"3863\",\n \"answer\": \"Following the Peruvian War of Independence\"\n },\n {\n \"question_id\": \"3864\",\n \"answer\": \"One of the oldest higher-learning institutions in the New World.\"\n },\n {\n \"question_id\": \"3865\",\n \"answer\": \"The National University of San Marcos\"\n },\n {\n \"question_id\": \"3866\",\n \"answer\": \"1551\"\n },\n {\n \"question_id\": \"3867\",\n \"answer\": \"The Spanish\"\n },\n {\n \"question_id\": \"3868\",\n \"answer\": \"The United Nations Climate Change Conference\"\n },\n {\n \"question_id\": \"3869\",\n \"answer\": \"The Miss Universe pageant\"\n },\n {\n \"question_id\": \"3870\",\n \"answer\": \"The central coastal part\"\n },\n {\n \"question_id\": \"3871\",\n \"answer\": \"The Pacific\"\n },\n {\n \"question_id\": \"3872\",\n \"answer\": \"It's the third largest city\"\n },\n {\n \"question_id\": \"3873\",\n \"answer\": \"S\\u00e3o Paulo and Mexico City\"\n },\n {\n \"question_id\": \"3874\",\n \"answer\": \"Spanish\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n BBC News Online is the website of BBC News, the division of the BBC responsible for newsgathering and production. The website is the most frequently accessed news website in the United Kingdom, and forms a major part of BBC Online (bbc.co.uk), which records around 70 million unique users a week (around 60 to 70% of visitors are from the UK). \n\nThe website contains international news coverage, as well as British, entertainment, science, and political news. Many reports are accompanied by audio and video from the BBC's television and radio news services, while the latest TV and radio bulletins are also available to view or listen to on the site together with other current affairs programmes. \n\nBBC News Online is closely linked to its sister department website, that of BBC Sport. Both sites follow similar layout and content options and respective journalists work alongside each other. Location information provided by users is also shared with the website of BBC Weather to provide local content. \n\nFrom 1998 to 2001 the site was named best news website at the BAFTA Interactive Entertainment Awards when the award category was withdrawn. It has previously won both the Judges' award and the People's Voice award for best news site at the annual Webby Awards.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52980\": \"Has it ever been named the best?\"\n },\n {\n \"52981\": \"when?\"\n },\n {\n \"52982\": \"by who?\"\n },\n {\n \"52983\": \"what was withdrawn at this event?\"\n },\n {\n \"52984\": \"are majority of it's visitors from the US?\"\n },\n {\n \"52985\": \"Then where?\"\n },\n {\n \"52986\": \"does it just cover UK news?\"\n },\n {\n \"52987\": \"what percent of uers are from UK?\"\n },\n {\n \"52988\": \"what prize has it won in the past?\"\n },\n {\n \"52989\": \"and?\"\n },\n {\n \"52990\": \"for?\"\n },\n {\n \"52991\": \"where was this?\"\n },\n {\n \"52992\": \"how many visitors does it get?\"\n },\n {\n \"52993\": \"What is it the website of?\"\n },\n {\n \"52994\": \"what is it's responsibity?\"\n },\n {\n \"52995\": \"and?\"\n },\n {\n \"52996\": \"what's the link to BBC Online?\"\n },\n {\n \"52997\": \"what's its sister site?\"\n },\n {\n \"52998\": \"do they all have the same style?\"\n },\n {\n \"52999\": \"can you watch the latest news on the site?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52980\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52981\",\n \"answer\": \"From 1998 to 2001\"\n },\n {\n \"question_id\": \"52982\",\n \"answer\": \"BAFTA Interactive Entertainment Awards\"\n },\n {\n \"question_id\": \"52983\",\n \"answer\": \"the award category\"\n },\n {\n \"question_id\": \"52984\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52985\",\n \"answer\": \"United Kingdom\"\n },\n {\n \"question_id\": \"52986\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52987\",\n \"answer\": \"around 60 to 70%\"\n },\n {\n \"question_id\": \"52988\",\n \"answer\": \"Judges' award\"\n },\n {\n \"question_id\": \"52989\",\n \"answer\": \"People's Voice award\"\n },\n {\n \"question_id\": \"52990\",\n \"answer\": \"for best news site\"\n },\n {\n \"question_id\": \"52991\",\n \"answer\": \"Webby Awards.\"\n },\n {\n \"question_id\": \"52992\",\n \"answer\": \"70 million unique users a week\"\n },\n {\n \"question_id\": \"52993\",\n \"answer\": \"BBC Online\"\n },\n {\n \"question_id\": \"52994\",\n \"answer\": \"newsgathering\"\n },\n {\n \"question_id\": \"52995\",\n \"answer\": \"production\"\n },\n {\n \"question_id\": \"52996\",\n \"answer\": \"(bbc.co.uk)\"\n },\n {\n \"question_id\": \"52997\",\n \"answer\": \"BBC Sport.\"\n },\n {\n \"question_id\": \"52998\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52999\",\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 Alex Rawlings, from Oxford University, Has been named the UK's most multilingual person. The 21-year-old British student can speak 11 language and is learning a 12th, He knows English, Greek, German, French, Dutch, Afrikaans, Spanish,Catalan,ltalian, Russian and Hebrew.Rawlings' mother, who is half Greek, spoke to him in English, Greek and some French when he was growing up. Rawlings is studying German and Russian at university now. He taught himself other languages like Dutch because he wanted to talk to people on his travels or simply because he thought the language was interesting or beautiful.\"When I was a kid, I always wanted to speak different languages,\" Rawlings said. \"My parents often took me to my mom's family in Greece. My dad worked in Japan for four years. I was always frustrated that I couldn't talk to other kids in those countries because of the language. \" Thanks to his talent for languages, Rawliings has made many friends. He also thinks that picking up new languages getseasier over time.Rawlings plans to perfect his Russian while studying in the small Russian city of Yaroslavi and the next language he plans to learn is Arabic.\"No matter how many languages I Iearn, my favorite language is always Greek because I have spoken it since childhood,\" he said.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57344\": \"Who is this article about?\"\n },\n {\n \"57345\": \"What is unique about him?\"\n },\n {\n \"57346\": \"How old is he?\"\n },\n {\n \"57347\": \"Does he go to school?\"\n },\n {\n \"57348\": \"Where?\"\n },\n {\n \"57349\": \"Which one?\"\n },\n {\n \"57350\": \"How many languages does he speak?\"\n },\n {\n \"57351\": \"Does he have a favorite?\"\n },\n {\n \"57352\": \"Why?\"\n },\n {\n \"57353\": \"What languages does he know?\"\n },\n {\n \"57354\": \"Do his parents speak other languages as well?\"\n },\n {\n \"57355\": \"Which ones?\"\n },\n {\n \"57356\": \"Does he have family in those countries?\"\n },\n {\n \"57357\": \"Which?\"\n },\n {\n \"57358\": \"Why does he like knowing so many languages?\"\n },\n {\n \"57359\": \"Was he always interested in different dialects?\"\n },\n {\n \"57360\": \"Is it harder to learn new ones?\"\n },\n {\n \"57361\": \"What advantages has this given him?\"\n },\n {\n \"57362\": \"Is he planning to learn any new ones?\"\n },\n {\n \"57363\": \"Which?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57344\",\n \"answer\": \"Alex Rawlings\"\n },\n {\n \"question_id\": \"57345\",\n \"answer\": \"UK's most multilingual person\"\n },\n {\n \"question_id\": \"57346\",\n \"answer\": \"21-year-old\"\n },\n {\n \"question_id\": \"57347\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57348\",\n \"answer\": \"university\"\n },\n {\n \"question_id\": \"57349\",\n \"answer\": \"Oxford University\"\n },\n {\n \"question_id\": \"57350\",\n \"answer\": \"11 language\"\n },\n {\n \"question_id\": \"57351\",\n \"answer\": \"Greek\"\n },\n {\n \"question_id\": \"57352\",\n \"answer\": \"spoken it since childhood\"\n },\n {\n \"question_id\": \"57353\",\n \"answer\": \"English, Greek, German, French, Dutch, Afrikaans, Spanish,Catalan,ltalian, Russian and Hebrew\"\n },\n {\n \"question_id\": \"57354\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57355\",\n \"answer\": \"English, Greek and some French\"\n },\n {\n \"question_id\": \"57356\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57357\",\n \"answer\": \"Greek\"\n },\n {\n \"question_id\": \"57358\",\n \"answer\": \"he thought the language was interesting or beautiful\"\n },\n {\n \"question_id\": \"57359\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57360\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"57361\",\n \"answer\": \"Rawliings has made many friends\"\n },\n {\n \"question_id\": \"57362\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57363\",\n \"answer\": \"Arabic\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXX \n\nTURNING A NEW LEAF--CONCLUSION \n\nThe night was a long one for Dick Rover and he was glad when the storm cleared away and the first streaks of dawn began to show themselves in the eastern sky. \n\nArnold Baxter had recovered consciousness, but was evidently in great pain, for he moaned almost constantly. Dick was willing to aid the sufferer, yet could do little or nothing. \n\n\"Tell me the way to our camp and I will get help,\" said Dick at last. And Arnold Baxter gave him the directions as best he could. \n\n\"I must have a doctor,\" whispered the man hoarsely. \"If not, I'll surely die. And I don't want to die yet, Rover!\" \n\nAs well as he was able, Dick set off for the lake shore and then began to move in the direction of Bass Island. \n\nHe had not gone very far when he heard somebody calling his name. \n\n\"Rover! Dick Rover!\" was the cry. \"Dick Rover!\" \n\n\"It must be a searching party,\" he thought, and he was right. The party contained Tom and Sam, and Mr. Strong, and they said that two other parties were out, one headed by Captain Putnam and the other by an assistant. \n\n\"Where in the world have you been?\" asked Tom. \"We have been scared almost to death over your absence.\" \n\n\"It's a long story,\" answered Dick. \"What I want just now is a doctor and a lot of salve. Just look at me, will you?\" \n\n\"Blisters!\" ejaculated Sam. \"Where did you get those?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14181\": \"who was unconscious but got better?\"\n },\n {\n \"14182\": \"did he hurt?\"\n },\n {\n \"14183\": \"how do you know?\"\n },\n {\n \"14184\": \"only a little?\"\n },\n {\n \"14185\": \"how often?\"\n },\n {\n \"14186\": \"who was agreeable to helping him?\"\n },\n {\n \"14187\": \"his last name?\"\n },\n {\n \"14188\": \"who knew how to get where the needed to go?\"\n },\n {\n \"14189\": \"where did the need to go?\"\n },\n {\n \"14190\": \"was someone looking for them?\"\n },\n {\n \"14191\": \"who?\"\n },\n {\n \"14192\": \"was there more than one group looking?\"\n },\n {\n \"14193\": \"how many in total?\"\n },\n {\n \"14194\": \"how many members in the first one?\"\n },\n {\n \"14195\": \"who were they?\"\n },\n {\n \"14196\": \"who was in charge of the second one?\"\n },\n {\n \"14197\": \"and the third?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14181\",\n \"answer\": \"Arnold Baxter\"\n },\n {\n \"question_id\": \"14182\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14183\",\n \"answer\": \"he moaned\"\n },\n {\n \"question_id\": \"14184\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14185\",\n \"answer\": \"almost constantly\"\n },\n {\n \"question_id\": \"14186\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"14187\",\n \"answer\": \"Rover\"\n },\n {\n \"question_id\": \"14188\",\n \"answer\": \"Arnold Baxter\"\n },\n {\n \"question_id\": \"14189\",\n \"answer\": \"their camp\"\n },\n {\n \"question_id\": \"14190\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14191\",\n \"answer\": \"a searching party\"\n },\n {\n \"question_id\": \"14192\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14193\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"14194\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"14195\",\n \"answer\": \"Tom and Sam, and Mr. Strong\"\n },\n {\n \"question_id\": \"14196\",\n \"answer\": \"Captain Putnam\"\n },\n {\n \"question_id\": \"14197\",\n \"answer\": \"an assistant\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXV \n\nThe Hidden Dread \n\nIT was a busy time for Adam--the time between the beginning of November and the beginning of February, and he could see little of Hetty, except on Sundays. But a happy time, nevertheless, for it was taking him nearer and nearer to March, when they were to be married, and all the little preparations for their new housekeeping marked the progress towards the longed-for day. Two new rooms had been \"run up\" to the old house, for his mother and Seth were to live with them after all. Lisbeth had cried so piteously at the thought of leaving Adam that he had gone to Hetty and asked her if, for the love of him, she would put up with his mother's ways and consent to live with her. To his great delight, Hetty said, \"Yes; I'd as soon she lived with us as not.\" Hetty's mind was oppressed at that moment with a worse difficulty than poor Lisbeth's ways; she could not care about them. So Adam was consoled for the disappointment he had felt when Seth had come back from his visit to Snowfield and said \"it was no use--Dinah's heart wasna turned towards marrying.\" For when he told his mother that Hetty was willing they should all live together and there was no more need of them to think of parting, she said, in a more contented tone than he had heard her speak in since it had been settled that he was to be married, \"Eh, my lad, I'll be as still as th' ould tabby, an' ne'er want to do aught but th' offal work, as she wonna like t' do. An' then we needna part the platters an' things, as ha' stood on the shelf together sin' afore thee wast born.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49012\": \"What time of year was it?\"\n },\n {\n \"49013\": \"What had been added to the house?\"\n },\n {\n \"49014\": \"Why?\"\n },\n {\n \"49015\": \"Who was let down about something?\"\n },\n {\n \"49016\": \"What about?\"\n },\n {\n \"49017\": \"Who was upset over the new roomates?\"\n },\n {\n \"49018\": \"What did she do?\"\n },\n {\n \"49019\": \"Did Adam have an open schedule?\"\n },\n {\n \"49020\": \"Why not?\"\n },\n {\n \"49021\": \"Was a special event coming up?\"\n },\n {\n \"49022\": \"What was that?\"\n },\n {\n \"49023\": \"To Whom?\"\n },\n {\n \"49024\": \"When is the wedding?\"\n },\n {\n \"49025\": \"Were they together all of the time?\"\n },\n {\n \"49026\": \"Why not?\"\n },\n {\n \"49027\": \"When did they see one another?\"\n },\n {\n \"49028\": \"Where had Seth returned from?\"\n },\n {\n \"49029\": \"Did he see anyone special while he was away?\"\n },\n {\n \"49030\": \"Who did he see?\"\n },\n {\n \"49031\": \"Was his wedding happy news for his mother?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49012\",\n \"answer\": \"The time between November and February\"\n },\n {\n \"question_id\": \"49013\",\n \"answer\": \"Two new rooms\"\n },\n {\n \"question_id\": \"49014\",\n \"answer\": \"His mother and Seth were to live there\"\n },\n {\n \"question_id\": \"49015\",\n \"answer\": \"Adam?\"\n },\n {\n \"question_id\": \"49016\",\n \"answer\": \"Dinah did not want to marry\"\n },\n {\n \"question_id\": \"49017\",\n \"answer\": \"Lisbeth\"\n },\n {\n \"question_id\": \"49018\",\n \"answer\": \"She had cried\"\n },\n {\n \"question_id\": \"49019\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49020\",\n \"answer\": \"IT was a busy time\"\n },\n {\n \"question_id\": \"49021\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49022\",\n \"answer\": \"He was to be married\"\n },\n {\n \"question_id\": \"49023\",\n \"answer\": \"Hetty\"\n },\n {\n \"question_id\": \"49024\",\n \"answer\": \"March\"\n },\n {\n \"question_id\": \"49025\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49026\",\n \"answer\": \"IT was a busy time\"\n },\n {\n \"question_id\": \"49027\",\n \"answer\": \"On Sundays\"\n },\n {\n \"question_id\": \"49028\",\n \"answer\": \"Snowfield\"\n },\n {\n \"question_id\": \"49029\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49030\",\n \"answer\": \"Dinah\"\n },\n {\n \"question_id\": \"49031\",\n \"answer\": \"She was content.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there was a man who needed to write story. His name was Mark. He had a bad case of writer's block. After a bit, he wrote a story about writing a story. This may seem a bit odd. Well, it was. The important thing to know is that Mark wanted money. This was so he could show off for his girl, Wendy. Wendy had two living parents named Greg and Gail. The exciting thing about Mark writing these stories, was that he could write whatever he wanted to. He could have written about bears. Or it could have been his best friend Error. There were so many choices for Mark. He was very happy. He was happy because he was almost done writing the story. Wendy, had she known about the writing would have been sad that Mark spent so much time thinking of odd stories.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35818\": \"Why was Mark having trouble writing?\"\n },\n {\n \"35819\": \"And what did he end up writing a story about?\"\n },\n {\n \"35820\": \"What did Mark want?\"\n },\n {\n \"35821\": \"Why?\"\n },\n {\n \"35822\": \"for who?\"\n },\n {\n \"35823\": \"And what was her name?\"\n },\n {\n \"35824\": \"What were her parent's names?\"\n },\n {\n \"35825\": \"And were they living?\"\n },\n {\n \"35826\": \"Why was Mark feeling happy?\"\n },\n {\n \"35827\": \"with what?\"\n },\n {\n \"35828\": \"How would Wendy had felt if she was aware of how much time he spent on his tales?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35818\",\n \"answer\": \"He had writer's block\"\n },\n {\n \"question_id\": \"35819\",\n \"answer\": \"writing a story\"\n },\n {\n \"question_id\": \"35820\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"35821\",\n \"answer\": \"to show off\"\n },\n {\n \"question_id\": \"35822\",\n \"answer\": \"for his girl\"\n },\n {\n \"question_id\": \"35823\",\n \"answer\": \"Wendy\"\n },\n {\n \"question_id\": \"35824\",\n \"answer\": \"Greg and Gail\"\n },\n {\n \"question_id\": \"35825\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35826\",\n \"answer\": \"he was almost done\"\n },\n {\n \"question_id\": \"35827\",\n \"answer\": \"the story\"\n },\n {\n \"question_id\": \"35828\",\n \"answer\": \"sad\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XII. \n\nVENDEAN MARRIAGES. \n\nThe young General's good news had preceded him, and when he entered the room where his friends were assembled, they were one and all ready to embrace and congratulate their successful soldier; he received the blessing of his father, the praises of de Lescure, the thanks and admiration of Madame de Lescure, and what he valued more than all, Marie's acknowledgments of the promise she gave him, when last he left her side. \n\nDuring his absence, three unexpected visitors had reached Laval; the first was Father Jerome, who had followed the army, and now brought them news from the side of Nantes, that Charette was still at the head of a large body of royalists, and was ready to join himself with the main army, somewhere to the north of the Loire, if any plan could be struck out for their future proceedings, to which both he and Henri could agree; and the others were perfect strangers. Two gentlemen had called at the guard-house, and asked for M. de Larochejaquelin: on hearing that he was not in Laval, they had desired to see M. de Lescure, and had, when alone with him, declared that they came from England, with offers of assistance, both in men and money; one of these gentlemen had with him a stick, and after having carefully looked round the room to see that no one but de Lescure could observe him, he had broken the stick in two, and taken from the hollow space within it, a letter addressed to the Commander-in-Chief of the Vendean army. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1562\": \"Did the soldier have good or bad news?\"\n },\n {\n \"1563\": \"Who was there for the news?\"\n },\n {\n \"1564\": \"How many visiting people were not expected?\"\n },\n {\n \"1565\": \"Who was the first one?\"\n },\n {\n \"1566\": \"Who did he bring news from?\"\n },\n {\n \"1567\": \"What was the news?\"\n },\n {\n \"1568\": \"Where at?\"\n },\n {\n \"1569\": \"Who were the other visitors?\"\n },\n {\n \"1570\": \"Where did they come from?\"\n },\n {\n \"1571\": \"Why?\"\n },\n {\n \"1572\": \"Assistance of what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1562\",\n \"answer\": \"good\"\n },\n {\n \"question_id\": \"1563\",\n \"answer\": \"his friends\"\n },\n {\n \"question_id\": \"1564\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"1565\",\n \"answer\": \"Father Jerome\"\n },\n {\n \"question_id\": \"1566\",\n \"answer\": \"the side of Nantes\"\n },\n {\n \"question_id\": \"1567\",\n \"answer\": \"that Charette was still at the head of a large body of royalists, and was ready to join himself with the main army\"\n },\n {\n \"question_id\": \"1568\",\n \"answer\": \"somewhere to the north of the Loire\"\n },\n {\n \"question_id\": \"1569\",\n \"answer\": \"Two gentlemen\"\n },\n {\n \"question_id\": \"1570\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"1571\",\n \"answer\": \"with offers of assistance\"\n },\n {\n \"question_id\": \"1572\",\n \"answer\": \"men and money\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Registered dietitian nutritionists (RDs or RDNs) are health professionals qualified to provide safe, evidence-based dietary advice which includes a review of what is eaten, a thorough review of nutritional health, and a personalized nutritional treatment plan. They also provide preventive and therapeutic programs at work places, schools and similar institutions. Certified Clinical Nutritionists or CCNs, are trained health professionals who also offer dietary advice on the role of nutrition in chronic disease, including possible prevention or remediation by addressing nutritional deficiencies before resorting to drugs. Government regulation especially in terms of licensing, is currently less universal for the CCN than that of RD or RDN. Another advanced Nutrition Professional is a Certified Nutrition Specialist or CNS. These Board Certified Nutritionists typically specialize in obesity and chronic disease. In order to become board certified, potential CNS candidate must pass an examination, much like Registered Dieticians. This exam covers specific domains within the health sphere including; Clinical Intervention and Human Health.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39001\": \"What does RD stand for?\"\n },\n {\n \"39002\": \"What do they provide?\"\n },\n {\n \"39003\": \"Do they work in a hospital only?\"\n },\n {\n \"39004\": \"Where else?\"\n },\n {\n \"39005\": \"What nutritionists are board certified?\"\n },\n {\n \"39006\": \"How do they get the certification?\"\n },\n {\n \"39007\": \"anything else?\"\n },\n {\n \"39008\": \"What do they specialize in?\"\n },\n {\n \"39009\": \"what does the exam cover?\"\n },\n {\n \"39010\": \"what does ccn stand for?\"\n },\n {\n \"39011\": \"how do they differ from rds?\"\n },\n {\n \"39012\": \"What would an RD do a thourough review of?\"\n },\n {\n \"39013\": \"And would they personalize anything?\"\n },\n {\n \"39014\": \"What?\"\n },\n {\n \"39015\": \"Do they teach preventive advice also?\"\n },\n {\n \"39016\": \"Where would they teach that?\"\n },\n {\n \"39017\": \"How about therapeautic programs?\"\n },\n {\n \"39018\": \"What does the \\\"N\\\" stand for in RDN?\"\n },\n {\n \"39019\": \"Are they considered professionals?\"\n },\n {\n \"39020\": \"Are CNS's certified?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39001\",\n \"answer\": \"Registered dietitian nutritionists\"\n },\n {\n \"question_id\": \"39002\",\n \"answer\": \"safe, evidence-based dietary advice\"\n },\n {\n \"question_id\": \"39003\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39004\",\n \"answer\": \"work places, schools and similar institutions.\"\n },\n {\n \"question_id\": \"39005\",\n \"answer\": \"Certified Nutrition Specialist\"\n },\n {\n \"question_id\": \"39006\",\n \"answer\": \"pass an examination\"\n },\n {\n \"question_id\": \"39007\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"39008\",\n \"answer\": \"obesity and chronic disease\"\n },\n {\n \"question_id\": \"39009\",\n \"answer\": \"specific domains within the health sphere\"\n },\n {\n \"question_id\": \"39010\",\n \"answer\": \"Certified Clinical Nutritionists\"\n },\n {\n \"question_id\": \"39011\",\n \"answer\": \"Government regulation is currently less universal for the CCN\"\n },\n {\n \"question_id\": \"39012\",\n \"answer\": \"nutritional health\"\n },\n {\n \"question_id\": \"39013\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39014\",\n \"answer\": \"nutritional treatment plan\"\n },\n {\n \"question_id\": \"39015\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39016\",\n \"answer\": \"work places, schools and similar institutions.\"\n },\n {\n \"question_id\": \"39017\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39018\",\n \"answer\": \"nutritionists\"\n },\n {\n \"question_id\": \"39019\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39020\",\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 VII. \n\nTHE OATH. \n\nFrom Eu the party travelled back to Rouen where there were feastings and entertainments in honour of Harold. Nothing could be more courteous than the duke's manner to his guest. He professed an almost fraternal affection for him, and handsome lodgings were assigned in the town to his thanes. A solemn court was held, at which Harold was knighted by William himself with much state and ceremonial, according to the rites of chivalry, which had then been but recently introduced, and had not as yet extended into England. There were great hunting parties in the forest, and to all outward appearance the friendship between William and Harold was of the warmest and most sincere nature. Harold himself was really gratified at the pains that William took to show the esteem in which he held him, and his thanes were all well satisfied with the attentions bestowed upon them by the Norman barons. \n\nBeorn and Wulf had nothing to do save to make friends with young Normans of their own age, to visit their castles and to join in the hunting parties. The duke lost no opportunity of showing the sincerity of the feelings of gratitude he had expressed to them for bringing him the news of Harold's presence in his dominions, and they were always specially invited to all court ceremonials, enjoying themselves exceedingly. Wulf occasionally expressed his surprise to his companion that no word was said as to their return to England, but Beorn's answer always silenced him. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67431\": \"Who was knighted?\"\n },\n {\n \"67432\": \"By whom?\"\n },\n {\n \"67433\": \"Was it a modest ceremony?\"\n },\n {\n \"67434\": \"What rites were new at that time?\"\n },\n {\n \"67435\": \"Had they made it into England yet?\"\n },\n {\n \"67436\": \"What was going on in the woods?\"\n },\n {\n \"67437\": \"Did it seem that William and Harold were close?\"\n },\n {\n \"67438\": \"Was Harold happy that William was trying so hard to be friendly to him?\"\n },\n {\n \"67439\": \"Were his thanes also happy?\"\n },\n {\n \"67440\": \"What group had shown them a lot of attention?\"\n },\n {\n \"67441\": \"Where did the party travel from?\"\n },\n {\n \"67442\": \"To where?\"\n },\n {\n \"67443\": \"Was a banquet waiting for them?\"\n },\n {\n \"67444\": \"And what else?\"\n },\n {\n \"67445\": \"All for whom?\"\n },\n {\n \"67446\": \"Who was going to make friends with people their own age?\"\n },\n {\n \"67447\": \"What places were they going to visit?\"\n },\n {\n \"67448\": \"And then what were they going to do?\"\n },\n {\n \"67449\": \"What were they constantly invited to?\"\n },\n {\n \"67450\": \"Was anything mentioned about them going back to England?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"67431\",\n \"answer\": \"Harold\"\n },\n {\n \"question_id\": \"67432\",\n \"answer\": \"William\"\n },\n {\n \"question_id\": \"67433\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67434\",\n \"answer\": \"rites of chivalry\"\n },\n {\n \"question_id\": \"67435\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67436\",\n \"answer\": \"great hunting parties\"\n },\n {\n \"question_id\": \"67437\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67438\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67439\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67440\",\n \"answer\": \"Norman barons\"\n },\n {\n \"question_id\": \"67441\",\n \"answer\": \"Eu\"\n },\n {\n \"question_id\": \"67442\",\n \"answer\": \"Rouen\"\n },\n {\n \"question_id\": \"67443\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67444\",\n \"answer\": \"entertainments\"\n },\n {\n \"question_id\": \"67445\",\n \"answer\": \"Harold\"\n },\n {\n \"question_id\": \"67446\",\n \"answer\": \"Beorn and Wulf\"\n },\n {\n \"question_id\": \"67447\",\n \"answer\": \"their castles\"\n },\n {\n \"question_id\": \"67448\",\n \"answer\": \"join in the hunting parties\"\n },\n {\n \"question_id\": \"67449\",\n \"answer\": \"all court ceremonials\"\n },\n {\n \"question_id\": \"67450\",\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 the Baptist (, \"Ioánnes (h)o baptistés\" or Ἰωάννης ὁ βαπτίζων, \"Ioánnes (h)o baptízon\", known as the Prophet Yahya in the Quran), also known as John the Baptizer, was a Jewish itinerant preacher in the early first century AD. John is revered as a major religious figure in Christianity, Islam, the Bahá'í Faith, and Mandaeism. He is called a prophet by all of these traditions, and is honoured as a saint in many Christian traditions. \n\nJohn used baptism as the central symbol or sacrament of his messianic movement. Most scholars agree that John baptized Jesus. Some scholars believe Jesus was a follower or disciple of John. This idea is strongly controverted, however, by John the Baptist's own words in scripture, although several New Testament accounts report that some of Jesus' early followers had previously been followers of John. John the Baptist is also mentioned by the Jewish historian Josephus. Some scholars maintain that John was influenced by the semi-ascetic Essenes, who expected an apocalypse and practiced rituals corresponding strongly with baptism, although no direct evidence substantiates this. \n\nAccording to the New Testament, John anticipated a messianic figure greater than himself. Christians commonly refer to John as the precursor or forerunner of Jesus, since John announces Jesus' coming. John is also identified with the prophet Elijah.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77043\": \"Who was the prophet Yahya?\"\n },\n {\n \"77044\": \"What else was he known as?\"\n },\n {\n \"77045\": \"Is he only revered in Christian faiths?\"\n },\n {\n \"77046\": \"How many faiths?\"\n },\n {\n \"77047\": \"Who did he expect to come after him?\"\n },\n {\n \"77048\": \"the same as he?\"\n },\n {\n \"77049\": \"How do Christians refer to him?\"\n },\n {\n \"77050\": \"What did he do?\"\n },\n {\n \"77051\": \"What was his central sacrament?\"\n },\n {\n \"77052\": \"Who did he baptize?\"\n },\n {\n \"77053\": \"Which historian talked about him?\"\n },\n {\n \"77054\": \"what idea about John and Jesus is controversial?\"\n },\n {\n \"77055\": \"Where did many of Jesus' early followers come from?\"\n },\n {\n \"77056\": \"What faith was he?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77043\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"77044\",\n \"answer\": \"John the Baptizer\"\n },\n {\n \"question_id\": \"77045\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77046\",\n \"answer\": \"4 including Christianity\"\n },\n {\n \"question_id\": \"77047\",\n \"answer\": \"messianic figure\"\n },\n {\n \"question_id\": \"77048\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77049\",\n \"answer\": \"precursor or forerunner of Jesus\"\n },\n {\n \"question_id\": \"77050\",\n \"answer\": \"announced Jesus' coming\"\n },\n {\n \"question_id\": \"77051\",\n \"answer\": \"baptism\"\n },\n {\n \"question_id\": \"77052\",\n \"answer\": \"Jesus\"\n },\n {\n \"question_id\": \"77053\",\n \"answer\": \"Josephus\"\n },\n {\n \"question_id\": \"77054\",\n \"answer\": \"John was influenced by the semi-ascetic Essenes\"\n },\n {\n \"question_id\": \"77055\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"77056\",\n \"answer\": \"Jewish\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X \n\nA BREEZE OF WIND \n\nThe hay was almost in when Frank and Harry stood one evening close under the apex of the roof in the log barn. The crop was heavy and because the barn was small it had been their business during the afternoon to spread and trample down the grass Jake flung up to them. They had been working at high pressure at one task or another since soon after daylight that morning, and now the confined space was very hot, though the sun was low. Its slanting rays smote the cedar shingles above their bent heads, and the dust that rose from the grass floated about them in a cloud and clung to their dripping faces. Frank felt that the veins on his forehead were swollen when they paused a moment for breath, leaning on their forks. \n\n\"I suppose we could get a couple more loads in, and there can't be more than that,\" said Harry dubiously. \"I wouldn't mind a great deal if the next jumperful upset.\" \n\nFrank devoutly wished it would, for he felt that he must get out into the open air, but a few moments later they heard the plodding oxen's feet and the groaning of the clumsy sled. The sounds ceased abruptly and Jake's voice reached them. \n\n\"Tramp it down good!\" he called. \"You've got to squeeze in this lot and another.\" \n\nFrank choked down the answer which rose to his lips. But the hay must be got in, and the boys fell with their forks upon the first of the crackling grass Jake flung up to them. There seemed to be more dust in it than usual, and before the jumper was half unloaded they were panting heavily. When at last the oxen hauled the sled away they stood doubled up knee-deep in the hay with their backs close against the roof. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22839\": \"Who had been working on the hay?\"\n },\n {\n \"22840\": \"Would would they have time for?\"\n },\n {\n \"22841\": \"Who thought this?\"\n },\n {\n \"22842\": \"Who needed air?\"\n },\n {\n \"22843\": \"Who flung the grass?\"\n },\n {\n \"22844\": \"What was there more of than normal?\"\n },\n {\n \"22845\": \"What pulled the sled?\"\n },\n {\n \"22846\": \"How was the weather?\"\n },\n {\n \"22847\": \"What type of shingles are there?\"\n },\n {\n \"22848\": \"How tall was the hay when they were done?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22839\",\n \"answer\": \"Frank and Harry\"\n },\n {\n \"question_id\": \"22840\",\n \"answer\": \"to get a couple more loads in\"\n },\n {\n \"question_id\": \"22841\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"22842\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"22843\",\n \"answer\": \"oxen\"\n },\n {\n \"question_id\": \"22844\",\n \"answer\": \"dust\"\n },\n {\n \"question_id\": \"22845\",\n \"answer\": \"the oxen\"\n },\n {\n \"question_id\": \"22846\",\n \"answer\": \"very hot\"\n },\n {\n \"question_id\": \"22847\",\n \"answer\": \"cedar\"\n },\n {\n \"question_id\": \"22848\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- If this is an indication of what Roger Federer will do at Wimbledon, his opponents had better watch out. \n\nFederer recorded the second double bagel of his career when he defeated wildcard Mischa Zverev 6-0 6-0 on Friday to reach the semifinals of a Wimbledon warm-up in Halle, Germany. \n\nThe only other time Federer didn't drop a game in a match was at the year-end championships in 2005 against clay-court specialist Gaston Gaudio. \n\n\"You never go to court aiming for such a score,\" Federer, who turns 32 in August, told reporters. \"I'm surprised to have managed it today.\" \n\nAt Wimbledon, which begins on June 24, Federer will be bidding to advance to a first grand slam final since claiming a seventh title on the Wimbledon grass a year ago. \n\nHe lost to Tomas Berdych in the U.S. Open quarterfinals last September, Andy Murray in January's Australian Open semifinals and Jo-Wilfried Tsonga in this month's French Open quarterfinals. \n\nFederer knows the chances of registering a second consecutive double bagel are slim. He meets local favorite and the man who beat him in last year's final in Halle, Tommy Haas, in the last four. \n\n\"I expect a completely different opponent tomorrow,\" Federer said. \n\nHaas and Federer, good friends, played doubles together this week in Halle. \n\n\"He is one of the greatest of all time, perhaps the greatest,\" said Haas. \n\nHaas, the 35-year-old third seed, rallied from a set down to oust Gael Monfils 6-7 (4) 6-3 6-3. \n\nBut he was the only German winner on the day. Besides Zverev, sixth-seed Philipp Kohlschreiber and eighth-seed Florian Mayer were also sent packing. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68886\": \"What sport is being played?\"\n },\n {\n \"68887\": \"Which competition?\"\n },\n {\n \"68888\": \"Who is the player?\"\n },\n {\n \"68889\": \"How old is he?\"\n },\n {\n \"68890\": \"When does Wimbledon start?\"\n },\n {\n \"68891\": \"What is he hoping to achieve?\"\n },\n {\n \"68892\": \"Who beat him at the quarterfinals?\"\n },\n {\n \"68893\": \"In what month?\"\n },\n {\n \"68894\": \"And who beat him in the Australian?\"\n },\n {\n \"68895\": \"In what month?\"\n },\n {\n \"68896\": \"Who beat him in the French Open?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"68886\",\n \"answer\": \"tennis\"\n },\n {\n \"question_id\": \"68887\",\n \"answer\": \"Wimbledon warm-up\"\n },\n {\n \"question_id\": \"68888\",\n \"answer\": \"Roger Federer\"\n },\n {\n \"question_id\": \"68889\",\n \"answer\": \"he turns 32 in August,\"\n },\n {\n \"question_id\": \"68890\",\n \"answer\": \"June 24\"\n },\n {\n \"question_id\": \"68891\",\n \"answer\": \"a grand slam\"\n },\n {\n \"question_id\": \"68892\",\n \"answer\": \"Tomas Berdych\"\n },\n {\n \"question_id\": \"68893\",\n \"answer\": \"September\"\n },\n {\n \"question_id\": \"68894\",\n \"answer\": \"Andy Murray\"\n },\n {\n \"question_id\": \"68895\",\n \"answer\": \"January\"\n },\n {\n \"question_id\": \"68896\",\n \"answer\": \"Jo-Wilfried Tsonga\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mnrk Zuckerberg, born on May 14. 1984, is an American computer programmer and businessman. As a Harvard student. He created the online social website Facebook, a site popular among students worldwide, with fellow computer science major students and his roommates Dustin Moskovitz and Chris Hughes. He serves as Facebook's CEO. He has been the subject of argument for the origins of his business and his wealth. Time Magazine added Zuckerherg as one of The World's Most Influential people 2008. \n\nZuckerberg grew up in prefix = st1 /Dobbs Ferry,New York. Early on. Zuckerlrg enjoyed making computer programs, especially communication tools and games. He started programming when he was in middle school. While attending Phillips Exeter Academy in high school, he built a program to help the workers in his dad's office communicate and a version of the game Risk. He also built a music player named Synapse that can learn the user's listening habits. Microsoft and AOL tried to purchase Synapse and employ Zuckerberg, but instead he decided to attend HarvardUniversity. \n\nZuckerberg started Facebook from his Harvard dorm room on February 4, 2004. it quickly became a success at Harvard and more than two-thirds of the school's studetts signed up in the first two weeks. It started off as just a \"Havard-Thing,\" until Zuckerberg then decided to spread Facebook to other schools and enlisted the help of roommate Dustin Moskovitz. They first spread it to Stanford, Dartmouth, Columbia, Cornell and Yale, and then to other schools with social contacts with Harvard. By the beginning of the summer, Zuckerberg and Moskovitz had made Facebook available at almost forty-five schools and hundreds of thousands of people were using it.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52051\": \"Who was Mark Zuckerberg?\"\n },\n {\n \"52052\": \"What social website did he create?\"\n },\n {\n \"52053\": \"Did he start it by himself or with other people?\"\n },\n {\n \"52054\": \"Who were they?\"\n },\n {\n \"52055\": \"What did Mark enjoy doing when he was younger?\"\n },\n {\n \"52056\": \"What was Synapse?\"\n },\n {\n \"52057\": \"Was it successful?\"\n },\n {\n \"52058\": \"Who tried to purchase Synpase?\"\n },\n {\n \"52059\": \"When did Mark start facebook?\"\n },\n {\n \"52060\": \"Was it an immeadiate success?\"\n },\n {\n \"52061\": \"Was it schools only or open to the general public at the time?\"\n },\n {\n \"52062\": \"What schools?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52051\",\n \"answer\": \"an American computer programmer and businessman\"\n },\n {\n \"question_id\": \"52052\",\n \"answer\": \"Facebook\"\n },\n {\n \"question_id\": \"52053\",\n \"answer\": \"with other people\"\n },\n {\n \"question_id\": \"52054\",\n \"answer\": \"Dustin Moskovitz and Chris Hughes.\"\n },\n {\n \"question_id\": \"52055\",\n \"answer\": \"making computer programs\"\n },\n {\n \"question_id\": \"52056\",\n \"answer\": \"a music player\"\n },\n {\n \"question_id\": \"52057\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52058\",\n \"answer\": \"Microsoft and AOL\"\n },\n {\n \"question_id\": \"52059\",\n \"answer\": \"February 4, 2004.\"\n },\n {\n \"question_id\": \"52060\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52061\",\n \"answer\": \"schools only\"\n },\n {\n \"question_id\": \"52062\",\n \"answer\": \"Harvard, Stanford, Dartmouth, Columbia, Cornell and Yale\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Novak Djokovic and Andy Murray were paired together in the same round robin group when the draw for the ATP World Tour Finals was made Saturday in London. \n\nWith the exception of early exits in this week's Paris Masters, the pair have dominated men's tennis in the latter part of the season and join Tomas Berdych of the Czech Republic and Frenchman Jo-Wilfried Tsonga in a tough Group A for the end of season finale. \n\nDefending champion Roger Federer, who will officially lose his No.1 ranking to Djokovic Monday, heads Group B with fourth seed David Ferrer of Spain, Argentina's Juan Martin del Potro and Janko Tipsarevic of Serbia. \n\nThe top two from each group qualify for the semifinal knockout stage at the O2 Arena. \n\nMurray, who followed up his Olympic gold medal in the singles with victory in the U.S. Open, where he beat Djokovic in an epic final, will play Berdych in his opener Monday. \n\n\"There's always pressure at all of the major tournaments you play but I feel a little bit more relaxed coming in this year than I have in previous years because I managed to win the U.S. Open,\" he told Press Association. \n\n\"But the only thing I can guarantee is that I'll give 110% on the court, fight as hard as I can until the end of all the matches and see where that gets me. Hopefully it'll get me a few wins.\" \n\nMurray last met Djokovic in another gripping final at the Shanghai Masters where the Serbian came out on top to boost his chances of regaining the No.1 spot from Wimbledon champion Federer. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38935\": \"Who will become newly ranked No.1?\"\n },\n {\n \"38936\": \"Who is losing that position?\"\n },\n {\n \"38937\": \"Who is fourth?\"\n },\n {\n \"38938\": \"What country is he from?\"\n },\n {\n \"38939\": \"Where will the semifinals be held?\"\n },\n {\n \"38940\": \"At which Arena?\"\n },\n {\n \"38941\": \"Which player has an Olympic medal?\"\n },\n {\n \"38942\": \"Who will he play next?\"\n },\n {\n \"38943\": \"When?\"\n },\n {\n \"38944\": \"Who is he paired with for the ATP World Tour Finals?\"\n },\n {\n \"38945\": \"Where did they last play against each other?\"\n },\n {\n \"38946\": \"Have they performed well together as teamates?\"\n },\n {\n \"38947\": \"Which Group are they in?\"\n },\n {\n \"38948\": \"Along with whom?\"\n },\n {\n \"38949\": \"And?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38935\",\n \"answer\": \"Djokovic\"\n },\n {\n \"question_id\": \"38936\",\n \"answer\": \"Roger Federer\"\n },\n {\n \"question_id\": \"38937\",\n \"answer\": \"David Ferrer\"\n },\n {\n \"question_id\": \"38938\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"38939\",\n \"answer\": \"the semifinal knockout stage\"\n },\n {\n \"question_id\": \"38940\",\n \"answer\": \"O2\"\n },\n {\n \"question_id\": \"38941\",\n \"answer\": \"Murray,\"\n },\n {\n \"question_id\": \"38942\",\n \"answer\": \"Berdych\"\n },\n {\n \"question_id\": \"38943\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"38944\",\n \"answer\": \"Novak Djokovic\"\n },\n {\n \"question_id\": \"38945\",\n \"answer\": \"at the Shanghai Masters\"\n },\n {\n \"question_id\": \"38946\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"38947\",\n \"answer\": \"Group A\"\n },\n {\n \"question_id\": \"38948\",\n \"answer\": \"Tomas Berdych\"\n },\n {\n \"question_id\": \"38949\",\n \"answer\": \"Jo-Wilfried Tsonga\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Bill Gates was born on October 28, 1955. He grew up in Seattle, Washington. He was a very clever boy. His favorite subjects at school were science and math. When he was 13, he started to play with computers. At that time, computers were large machines. Once he was very interested in a very old computer. He and some of his friends spent lots of time doing unusual things with it. In the end, they worked out a software program with the old machine. Bill sold it for $4,200 when he was only 17. In 1973, Bill went to Harvard University . In his third school year, he left Harvard to work for a company called Microsoft. Bill began his company in 1975 with his friend Paul Allen. They thought the computer would come into every office and every home soon. So they began developing the software forpersonalcomputers. They improved the software to make it easier for people to use computers.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78050\": \"how much did Bill sell the computer for?\"\n },\n {\n \"78051\": \"how old was he?\"\n },\n {\n \"78052\": \"when was he born?\"\n },\n {\n \"78053\": \"what year?\"\n },\n {\n \"78054\": \"what were his favorite subjects?\"\n },\n {\n \"78055\": \"where did he grow up?\"\n },\n {\n \"78056\": \"where did he go to school?\"\n },\n {\n \"78057\": \"did he finish?\"\n },\n {\n \"78058\": \"at what age did he start to play with computers?\"\n },\n {\n \"78059\": \"when did he quit harvard?\"\n },\n {\n \"78060\": \"what year did he start microsoft?\"\n },\n {\n \"78061\": \"with who?\"\n },\n {\n \"78062\": \"did they work on hardware or software?\"\n },\n {\n \"78063\": \"did they make it easier for people to use?\"\n },\n {\n \"78064\": \"for what type of computers was the software?\"\n },\n {\n \"78065\": \"where did they imagine computers would be?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78050\",\n \"answer\": \"$4,200\"\n },\n {\n \"question_id\": \"78051\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"78052\",\n \"answer\": \"October 28\"\n },\n {\n \"question_id\": \"78053\",\n \"answer\": \"1955\"\n },\n {\n \"question_id\": \"78054\",\n \"answer\": \"science and math\"\n },\n {\n \"question_id\": \"78055\",\n \"answer\": \"Seattle\"\n },\n {\n \"question_id\": \"78056\",\n \"answer\": \"Harvard\"\n },\n {\n \"question_id\": \"78057\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78058\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"78059\",\n \"answer\": \"In his third school year\"\n },\n {\n \"question_id\": \"78060\",\n \"answer\": \"1975\"\n },\n {\n \"question_id\": \"78061\",\n \"answer\": \"Paul Allen\"\n },\n {\n \"question_id\": \"78062\",\n \"answer\": \"software\"\n },\n {\n \"question_id\": \"78063\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78064\",\n \"answer\": \"personalcomputers\"\n },\n {\n \"question_id\": \"78065\",\n \"answer\": \"every office and every home\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 famous car Rolls-Royce has been largely hand-made and always one of the most expensive cars on the market. \n\nIn fact, Rolls-Royce is made up of two men's names, Charles S. Rolls and Henry Royce. They came from very different backgrounds, received very different educations and when they met; their careers were going in very different directions. \n\nIn 1903, Royce bought a second-hand France Decauville car. He found the car unreliable, difficult to start and overheated. Royce decided he could do better himself and set about building two-cylinder car of his own design. The first of these, built almost completely by Royce himself, was a success in almost every way: it started easily, ran smoothly and was very reliable. It never failed to impress everyone who saw it rode in the car, including Rolls. \n\nWhile he was a university student at Cambridge, Rolls acquired a French Peugeot. It was the first automobile seen at Cambridge and by the time Rolls finished his studies, he was probably the most skilled driver in Britain. In 1902, Rolls went into the business of selling cars and became a leading automobile \n\n. He was looking for a British car to market when he was told that Henry Royce had designed and built a two-cylinder automobile. \n\nIn 1904, Royce and Rolls joined together to build and sell motor car. They combined their talents--Royce the engineer and Rolls the salesman and businessman. \n\nAnd, just two years later, the partnership produced the Rolls-Royce Silver Ghost, a milestone car acclaimed by many by the time as the \" best in the world\". Over the years the automaker built a legendary reputation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4767\": \"is the vehicle named for a person?\"\n },\n {\n \"4768\": \"what are they?\"\n },\n {\n \"4769\": \"did the second one buy something?\"\n },\n {\n \"4770\": \"what?\"\n },\n {\n \"4771\": \"when?\"\n },\n {\n \"4772\": \"did he like it?\"\n },\n {\n \"4773\": \"why?\"\n },\n {\n \"4774\": \"did he do something about it?\"\n },\n {\n \"4775\": \"what?\"\n },\n {\n \"4776\": \"did he do this alone?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4767\",\n \"answer\": \"two men's names\"\n },\n {\n \"question_id\": \"4768\",\n \"answer\": \"Charles S. Rolls and Henry Royce\"\n },\n {\n \"question_id\": \"4769\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4770\",\n \"answer\": \"a second-hand France Decauville car\"\n },\n {\n \"question_id\": \"4771\",\n \"answer\": \"In 1903\"\n },\n {\n \"question_id\": \"4772\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4773\",\n \"answer\": \"Because he found the car unreliable, difficult to start and overheated\"\n },\n {\n \"question_id\": \"4774\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4775\",\n \"answer\": \"He set about building two-cylinder car of his own design\"\n },\n {\n \"question_id\": \"4776\",\n \"answer\": \"almost\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jim was looking up at the sky when he saw it. He saw a bright light. It got brighter and brighter. But after a few seconds, it started getting less bright. It took him a second to know for sure, but he knew he had seen a shooting star! \n\nThis wasn't the first time that Jim had seen something strange in the sky. It was last year, when he was driving home from work at night. He saw another light in the sky that night, but it wasn't anything like this one. The one he saw last year didn't get brighter. The one he saw last year didn't get less bright. The one he saw last year was round, and Jim was sure that it was a space ship. \n\nWhen Jim saw the shooting star tonight, he was even more sure of what he saw last year. Some people said that the space ship was really a shooting star. But now that he had seen a real shooting star, he knew for sure that this one was different. \n\nJim wondered what planet the space ship had come from.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44646\": \"Who was looking up at the sky?\"\n },\n {\n \"44647\": \"What did he see?\"\n },\n {\n \"44648\": \"Did it get brighter?\"\n },\n {\n \"44649\": \"What happened after a few seconds?\"\n },\n {\n \"44650\": \"What had he seen?\"\n },\n {\n \"44651\": \"Was this the first time he'd seen something strange in the sky?\"\n },\n {\n \"44652\": \"When had he seen something else?\"\n },\n {\n \"44653\": \"What was he doing then?\"\n },\n {\n \"44654\": \"During the day or night?\"\n },\n {\n \"44655\": \"What had he seen then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"44646\",\n \"answer\": \"Jim.\"\n },\n {\n \"question_id\": \"44647\",\n \"answer\": \"A bright light.\"\n },\n {\n \"question_id\": \"44648\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"44649\",\n \"answer\": \"It got less bright.\"\n },\n {\n \"question_id\": \"44650\",\n \"answer\": \"A shooting star.\"\n },\n {\n \"question_id\": \"44651\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"44652\",\n \"answer\": \"Last year.\"\n },\n {\n \"question_id\": \"44653\",\n \"answer\": \"Driving home from work.\"\n },\n {\n \"question_id\": \"44654\",\n \"answer\": \"Night.\"\n },\n {\n \"question_id\": \"44655\",\n \"answer\": \"Another light.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Taliban ( ' \"students\"), alternatively spelled Taleban, which refers to itself as the Islamic Emirate of Afghanistan (IEA), is a Sunni Islamic fundamentalist political movement in Afghanistan currently waging war (an insurgency, or jihad) within that country. Since 2016, the Taliban's leader is Mawlawi Hibatullah Akhundzada. \n\nFrom 1996 to 2001, the Taliban held power over roughly three quarters of Afghanistan, and enforced there a strict interpretation of Sharia, or Islamic law. The Taliban emerged in 1994 as one of the prominent factions in the Afghan Civil War, and largely consisted of students recently trained in madrassas in Pakistan. Under the leadership of Mohammed Omar, the movement spread throughout most of Afghanistan, sequestering power from the Mujahideen warlords. The Islamic Emirate of Afghanistan was established in 1996 and the Afghan capital transferred to Kandahar. It held control of most of the country until being overthrown by the American-led invasion of Afghanistan in December 2001 following the September 11 attacks. At its peak, formal diplomatic recognition of the Taliban's government was acknowledged by only three nations: Pakistan, Saudi Arabia, and the United Arab Emirates. The group later regrouped as an insurgency movement to fight the American-backed Karzai administration and the NATO-led International Security Assistance Force (ISAF).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36297\": \"between what years did they hold power?\"\n },\n {\n \"36298\": \"where?\"\n },\n {\n \"36299\": \"what law did they enforce?\"\n },\n {\n \"36300\": \"Where did the students train?\"\n },\n {\n \"36301\": \"in which country?\"\n },\n {\n \"36302\": \"which countries acknowledged them?\"\n },\n {\n \"36303\": \"what do Taliban refer to themselves?\"\n },\n {\n \"36304\": \"what did they regroup as later?\"\n },\n {\n \"36305\": \"to fight who?\"\n },\n {\n \"36306\": \"was that it?\"\n },\n {\n \"36307\": \"who is the latest head mentioned?\"\n },\n {\n \"36308\": \"when did the group emerge?\"\n },\n {\n \"36309\": \"who was the leader then?\"\n },\n {\n \"36310\": \"are they christian?\"\n },\n {\n \"36311\": \"then what?\"\n },\n {\n \"36312\": \"who did they take control from?\"\n },\n {\n \"36313\": \"where did the capital move to?\"\n },\n {\n \"36314\": \"were they ever defeated?\"\n },\n {\n \"36315\": \"when?\"\n },\n {\n \"36316\": \"what else happened in 2001?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36297\",\n \"answer\": \"1996 to 2001\"\n },\n {\n \"question_id\": \"36298\",\n \"answer\": \"Afghanistan\"\n },\n {\n \"question_id\": \"36299\",\n \"answer\": \"Sharia, or Islamic law\"\n },\n {\n \"question_id\": \"36300\",\n \"answer\": \"madrassas\"\n },\n {\n \"question_id\": \"36301\",\n \"answer\": \"Pakistan.\"\n },\n {\n \"question_id\": \"36302\",\n \"answer\": \"Pakistan, Saudi Arabia, and the United Arab Emirates.\"\n },\n {\n \"question_id\": \"36303\",\n \"answer\": \"Islamic Emirate of Afghanistan\"\n },\n {\n \"question_id\": \"36304\",\n \"answer\": \"an insurgency movement\"\n },\n {\n \"question_id\": \"36305\",\n \"answer\": \"Karzai administration\"\n },\n {\n \"question_id\": \"36306\",\n \"answer\": \"and the NATO-led International Security Assistance Force\"\n },\n {\n \"question_id\": \"36307\",\n \"answer\": \"Mawlawi Hibatullah Akhundzada.\"\n },\n {\n \"question_id\": \"36308\",\n \"answer\": \"1994\"\n },\n {\n \"question_id\": \"36309\",\n \"answer\": \"Mohammed Omar,\"\n },\n {\n \"question_id\": \"36310\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36311\",\n \"answer\": \"Sunni Islamic\"\n },\n {\n \"question_id\": \"36312\",\n \"answer\": \"Mujahideen warlords\"\n },\n {\n \"question_id\": \"36313\",\n \"answer\": \"Kandahar\"\n },\n {\n \"question_id\": \"36314\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36315\",\n \"answer\": \"December 2001\"\n },\n {\n \"question_id\": \"36316\",\n \"answer\": \"September 11 attacks\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 was a little girl who loved to sew. She liked to sew dresses, shirts, and skirts but Mary hated to sew quilts. She didn't like anything about sewing quilts and blankets because it took too long. One quilt or blanket took a week to make, when a skirt or shirt took one night! Mary's mother didn't understand why Mary didn't like to sew quilts and blankets because Mary's mother loved to! \n\nMary was a normal little girl even if her friends didn't think so all the time. Mary's friends liked to play games and play outside but all Mary liked was to sew. She woke up and she began to sew. She only stopped to eat and use the bathroom. Mary's father was very worried about Mary. He said that little girls needed to laugh and play, not sew all the time. \n\nOne day Mary's father took Mary's sewing things and gave them to the poor children. \"No more sewing, Mary!\" He said. He wanted her to go laugh and play with her friends instead of sew but instead of going outside to play she ran into her room and cried. Mary was very sad that she couldn't sew any more. Soon her friends came over to see why Mary hadn't come over to play like her father said she would. When they saw her crying on her bed they had to think of a way to cheer her up. Billy said that maybe they could let her sew at their houses. Abby thought it was a great idea. So then all Mary's friends bought sewing things with their money so that Mary would be happy again. When Mary's father saw Mary go to one of her friend's house he was very happy. Soon everyone was happy again.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37742\": \"Did Mary like sewing quilts?\"\n },\n {\n \"37743\": \"How long does it take to make one?\"\n },\n {\n \"37744\": \"Did Mary's mom like to sew them?\"\n },\n {\n \"37745\": \"Does Mary like to sew?\"\n },\n {\n \"37746\": \"What do her friends like to do?\"\n },\n {\n \"37747\": \"What did Mary stop sewing to do?\"\n },\n {\n \"37748\": \"was Mary's father worried about Mary?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37742\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37743\",\n \"answer\": \"A week\"\n },\n {\n \"question_id\": \"37744\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37745\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37746\",\n \"answer\": \"Play games and play outside\"\n },\n {\n \"question_id\": \"37747\",\n \"answer\": \"Cried\"\n },\n {\n \"question_id\": \"37748\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III \n\n_Danny Meadow Mouse Plays Hide and Seek_ \n\nLife is always a game of hide and seek to Danny Meadow Mouse. You see, he is such a fat little fellow that there are a great many other furry-coated people, and almost as many who wear feathers, who would gobble Danny up for breakfast or for dinner if they could. Some of them pretend to be his friends, but Danny always keeps his eyes open when they are around and always begins to play hide and seek. Peter Rabbit and Jimmy Skunk and Striped Chipmunk and Happy Jack Squirrel are all friends whom he can trust, but he always has a bright twinkling eye open for Reddy Fox and Billy Mink and Shadow the Weasel and old Whitetail the Marsh Hawk, and several more, especially Hooty the Owl at night. \n\nNow Danny Meadow Mouse is a stout-hearted little fellow, and when rough Brother North Wind came shouting across the Green Meadows, tearing to pieces the snow clouds and shaking out the snowflakes until they covered the Green Meadows deep, deep, deep, Danny just snuggled down in his warm coat in his snug little house of grass and waited. Danny liked the snow. Yes, sir, Danny Meadow Mouse liked the snow. He just loved to dig in it and make tunnels. Through those tunnels in every direction he could go where he pleased and when he pleased without being seen by anybody. It was great fun! \n\nEvery little way he made a little round doorway up beside a stiff stalk of grass. Out of this he could peep at the white world, and he could get the fresh cold air. Sometimes, when he was quite sure that no one was around, he would scamper across on top of the snow from one doorway to another, and when he did this, he made the prettiest little footprints. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78094\": \"What kind of animal is Danny?\"\n },\n {\n \"78095\": \"Is he small or large?\"\n },\n {\n \"78096\": \"What is life for him?\"\n },\n {\n \"78097\": \"How many friends of his are listed?\"\n },\n {\n \"78098\": \"Who can't he trust at night?\"\n },\n {\n \"78099\": \"Who else does he have to be careful around?\"\n },\n {\n \"78100\": \"Is Whitetail young or old?\"\n },\n {\n \"78101\": \"How is the breeze personified?\"\n },\n {\n \"78102\": \"Where did Brother North Wind go?\"\n },\n {\n \"78103\": \"How does Brother North Wind make it snow?\"\n },\n {\n \"78104\": \"Is there just a light dusting of snow?\"\n },\n {\n \"78105\": \"What did Danny like to do in the snow?\"\n },\n {\n \"78106\": \"What was the advantage of snow tunnels?\"\n },\n {\n \"78107\": \"What shape door did he create?\"\n },\n {\n \"78108\": \"What was next to that?\"\n },\n {\n \"78109\": \"What kind of air was there?\"\n },\n {\n \"78110\": \"What did he do when he went from one door to the other?\"\n },\n {\n \"78111\": \"What was the weasel's name?\"\n },\n {\n \"78112\": \"Was the squirrel sad?\"\n },\n {\n \"78113\": \"What kind of animal was Jimmy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78094\",\n \"answer\": \"a Meadow Mouse\"\n },\n {\n \"question_id\": \"78095\",\n \"answer\": \"small, but fat\"\n },\n {\n \"question_id\": \"78096\",\n \"answer\": \"a game of hide and seek\"\n },\n {\n \"question_id\": \"78097\",\n \"answer\": \"four that he can trust\"\n },\n {\n \"question_id\": \"78098\",\n \"answer\": \"Hooty the Owl\"\n },\n {\n \"question_id\": \"78099\",\n \"answer\": \"Reddy Fox and others\"\n },\n {\n \"question_id\": \"78100\",\n \"answer\": \"old\"\n },\n {\n \"question_id\": \"78101\",\n \"answer\": \"Brother North Wind\"\n },\n {\n \"question_id\": \"78102\",\n \"answer\": \"Green Meadows\"\n },\n {\n \"question_id\": \"78103\",\n \"answer\": \"tearing to pieces the snow clouds and shaking out the snowflakes\"\n },\n {\n \"question_id\": \"78104\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78105\",\n \"answer\": \"dig in it and make tunnels\"\n },\n {\n \"question_id\": \"78106\",\n \"answer\": \"he could go where he pleased without being seen\"\n },\n {\n \"question_id\": \"78107\",\n \"answer\": \"round\"\n },\n {\n \"question_id\": \"78108\",\n \"answer\": \"a stalk of grass\"\n },\n {\n \"question_id\": \"78109\",\n \"answer\": \"fresh and cold\"\n },\n {\n \"question_id\": \"78110\",\n \"answer\": \"made the prettiest little footprints\"\n },\n {\n \"question_id\": \"78111\",\n \"answer\": \"Shadow\"\n },\n {\n \"question_id\": \"78112\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78113\",\n \"answer\": \"Skunk\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII. A FATAL SPARK. \n\nAnd so it chanced; which in those dark And fireless halls was quite amazing, Did we not know how small a spark Can set the torch of love ablazing. T. MOORE. \n\nAurelia rode home in perplexity, much afraid of the combustibles at her girdle, and hating the task her sister had forced on her. She felt as if her heedless avowals had been high treason to her husband; and yet Harriet was her elder, and those assurances that as a true woman she was bound to clear up the mystery, made her cheeks burn with shame, and her heart thrill with the determination to vindicate her husband, while the longing to know the face of one who so loved her was freshly awakened. \n\nShe was strongly inclined to tell him all, indeed she knew herself well enough to be aware that half a dozen searching questions would draw out the whole confession of her own communication and Harriet's unworthy suspicions; and humiliating as this would be, she longed for the opportunity. Here, however, she was checked in her meditations by a stumble of her horse, which proved to have lost a shoe. It was necessary to leave the short cut, and make for the nearest forge, and when the mischief was repaired, to ride home by the high road. \n\nShe thus came home much later than had been expected; Jumbo, Molly, and the little girls were all watching for her, and greeted her eagerly. The supper was already on the table for her, and she had only just given Fay and Letty the cakes and comfits she had bought at Brentford for them when Jumbo brought the message that his master hoped that madam, if not too much fatigued, would come to him as soon as her supper was finished. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26362\": \"Who was suspicious?\"\n },\n {\n \"26363\": \"Did she have cause?\"\n },\n {\n \"26364\": \"Who was she relatedto?\"\n },\n {\n \"26365\": \"How?\"\n },\n {\n \"26366\": \"Who was older?\"\n },\n {\n \"26367\": \"Was Aurelia married?\"\n },\n {\n \"26368\": \"Did she hide something in her underwear?\"\n },\n {\n \"26369\": \"What?\"\n },\n {\n \"26370\": \"Did someone make her do it?\"\n },\n {\n \"26371\": \"Who?\"\n },\n {\n \"26372\": \"Did she make it back to her house on time?\"\n },\n {\n \"26373\": \"Was anybody waiting?\"\n },\n {\n \"26374\": \"Who?\"\n },\n {\n \"26375\": \"Were they sad to see her?\"\n },\n {\n \"26376\": \"Was dinner ready?\"\n },\n {\n \"26377\": \"Where were the pastries from?\"\n },\n {\n \"26378\": \"Who got to eat them?\"\n },\n {\n \"26379\": \"Who was asked to meet the head of household after eating?\"\n },\n {\n \"26380\": \"What did the equine lose?\"\n },\n {\n \"26381\": \"Who is quoted?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26362\",\n \"answer\": \"Harriet'\"\n },\n {\n \"question_id\": \"26363\",\n \"answer\": \"Aurelia didn't think so\"\n },\n {\n \"question_id\": \"26364\",\n \"answer\": \"harriet\"\n },\n {\n \"question_id\": \"26365\",\n \"answer\": \"sisters\"\n },\n {\n \"question_id\": \"26366\",\n \"answer\": \"Harriet\"\n },\n {\n \"question_id\": \"26367\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26368\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26369\",\n \"answer\": \"combustibles\"\n },\n {\n \"question_id\": \"26370\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26371\",\n \"answer\": \"Her sister\"\n },\n {\n \"question_id\": \"26372\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26373\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26374\",\n \"answer\": \"Jumbo, Molly, and the little girls were all watching for her,\"\n },\n {\n \"question_id\": \"26375\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26376\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26377\",\n \"answer\": \"Brentford\"\n },\n {\n \"question_id\": \"26378\",\n \"answer\": \"Fay and Letty\"\n },\n {\n \"question_id\": \"26379\",\n \"answer\": \"Aurelia\"\n },\n {\n \"question_id\": \"26380\",\n \"answer\": \"a shoe.\"\n },\n {\n \"question_id\": \"26381\",\n \"answer\": \". T. MOORE.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Swedish golfer Henrik Stenson carded a solid 69 in the opening round of the WGC-CA Championship but it was his highly unusual recovery shot on the 12th on the Blue Monster course at Doral which raised more than a few eyebrows. \n\nStenson did not leave much to the imagination with his Doral antics. \n\nStenson stripped down to the bare essentials -- a pair of white boxer shorts -- before wading into the mud to hack out his ball after an wayward tee shot. \n\nThe watching galleries could hardly believe their eyes as the tall Swede peeled off his clothes. \n\n\"Shirt, trousers, socks, shoes, hat, the lot was off,\" he told the Press Association. \n\n\"Because of the mud I couldn't really afford to play in any of my clothes as they would have been a real mess down the last six or so holes so I had no option,\" Stenson explained. \n\nAfter getting the ball back on to the fairway, Stenson eventually made a one-over par bogey on the hole when he could have dropped at least two shots by taking a drop. \n\n\"If you are saving a shot, that has to be worth taking your shirt and trousers,\" he added. \n\nWhat do you think of Stenson's cheeky recovery shot ? \n\nThe incident proved the main talking point on the day that Tiger Woods made his return to strokeplay golf and 32-year-old Stenson jokingly said it might offer a new avenue for sponsorships. \n\n\"Absolutely, you never know, after this I might have a new endorsement with PlayGirl or something like that.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79373\": \"What kind of golf did Tiger Woods come back to?\"\n },\n {\n \"79374\": \"What was being held that day?\"\n },\n {\n \"79375\": \"Who carded 69 in the first round?\"\n },\n {\n \"79376\": \"Where were they playing?\"\n },\n {\n \"79377\": \"What was the name of the course?\"\n },\n {\n \"79378\": \"What did Stenson retrieve?\"\n },\n {\n \"79379\": \"From where?\"\n },\n {\n \"79380\": \"What did he do before going in?\"\n },\n {\n \"79381\": \"What did he leave on?\"\n },\n {\n \"79382\": \"What color?\"\n },\n {\n \"79383\": \"Why did he do that?\"\n },\n {\n \"79384\": \"Could he play in muddy clothes?\"\n },\n {\n \"79385\": \"What did he take off?\"\n },\n {\n \"79386\": \"Did he feel like he had to?\"\n },\n {\n \"79387\": \"What does he feel is worth it?\"\n },\n {\n \"79388\": \"What did he think he might get after that?\"\n },\n {\n \"79389\": \"with who?\"\n },\n {\n \"79390\": \"how old is he?\"\n },\n {\n \"79391\": \"Was everyone talking about it?\"\n },\n {\n \"79392\": \"How did the galleries feel?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79373\",\n \"answer\": \"strokeplay\"\n },\n {\n \"question_id\": \"79374\",\n \"answer\": \"WGC-CA Championship\"\n },\n {\n \"question_id\": \"79375\",\n \"answer\": \"Henrik Stenson\"\n },\n {\n \"question_id\": \"79376\",\n \"answer\": \"Doral\"\n },\n {\n \"question_id\": \"79377\",\n \"answer\": \"the Blue Monster\"\n },\n {\n \"question_id\": \"79378\",\n \"answer\": \"the ball\"\n },\n {\n \"question_id\": \"79379\",\n \"answer\": \"the mud\"\n },\n {\n \"question_id\": \"79380\",\n \"answer\": \"stripped\"\n },\n {\n \"question_id\": \"79381\",\n \"answer\": \"boxer shorts\"\n },\n {\n \"question_id\": \"79382\",\n \"answer\": \"white\"\n },\n {\n \"question_id\": \"79383\",\n \"answer\": \"Because of the mud\"\n },\n {\n \"question_id\": \"79384\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79385\",\n \"answer\": \"Shirt, trousers, socks, shoes, hat\"\n },\n {\n \"question_id\": \"79386\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79387\",\n \"answer\": \"saving a shot\"\n },\n {\n \"question_id\": \"79388\",\n \"answer\": \"an endorsement\"\n },\n {\n \"question_id\": \"79389\",\n \"answer\": \"Playgirl\"\n },\n {\n \"question_id\": \"79390\",\n \"answer\": \"32\"\n },\n {\n \"question_id\": \"79391\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79392\",\n \"answer\": \"stunned\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Felipe and his friends are planning a trip to London. They have decided their hotel, plane and when to get there, but haven't decided what they want to do. Felipe would like to go boating in the Thames River. All his friends like boat trips, so all of them will go boating in the Thames River. Felipe also loves the British Royal Family! He wants to visit Buckingham Palace and see the changes. But his friend Carmen doesn't want to visit Buckingham Palace. He would like to ride on the London Eye. Carmen would also like to visit the Houses of Parliament and Trafalgar Square. Carmen's boyfriend Leo likes shopping, and he thinks politics is boring and doesn't want to visit the Houses of Parliament. Felipe's friend Juliana likes visiting museums, and she would like to see Buckingham Palace too. Carmen and Leo would like to go shopping in Covent Garden, but Juliana would rather do some shopping in Oxford Street.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97482\": \"What the name of the main character?\"\n },\n {\n \"97483\": \"Where does he want to go?\"\n },\n {\n \"97484\": \"Alone?\"\n },\n {\n \"97485\": \"Have they made some plans yet?\"\n },\n {\n \"97486\": \"What did they decide about?\"\n },\n {\n \"97487\": \"What does Felipe want to do?\"\n },\n {\n \"97488\": \"Do his friends all agree?\"\n },\n {\n \"97489\": \"Who wants to visit Parliament?\"\n },\n {\n \"97490\": \"Where else would she like to visit?\"\n },\n {\n \"97491\": \"Is Carmen single?\"\n },\n {\n \"97492\": \"What's her boyfriend's name?\"\n },\n {\n \"97493\": \"What does Leo like to do?\"\n },\n {\n \"97494\": \"Does he also like politics?\"\n },\n {\n \"97495\": \"Does Juliana want to go shopping?\"\n },\n {\n \"97496\": \"Does she want to shop where Carmen and Leo want to go?\"\n },\n {\n \"97497\": \"What else does Juliana like doing?\"\n },\n {\n \"97498\": \"Where do Carmen and Leo want to go shopping?\"\n },\n {\n \"97499\": \"And Juliana?\"\n },\n {\n \"97500\": \"Who is interested in the Queen and Prince?\"\n },\n {\n \"97501\": \"Who wants to go to Buckingham Palace?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97482\",\n \"answer\": \"Felipe\"\n },\n {\n \"question_id\": \"97483\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"97484\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97485\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"97486\",\n \"answer\": \"They have decided their hotel, plane and when to get there\"\n },\n {\n \"question_id\": \"97487\",\n \"answer\": \"Go boating in the Thames, visit Buckingham Palace, and ride on the London Eye\"\n },\n {\n \"question_id\": \"97488\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97489\",\n \"answer\": \"Carmen\"\n },\n {\n \"question_id\": \"97490\",\n \"answer\": \"Trafalgar Square\"\n },\n {\n \"question_id\": \"97491\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97492\",\n \"answer\": \"Leo\"\n },\n {\n \"question_id\": \"97493\",\n \"answer\": \"Leo likes shopping\"\n },\n {\n \"question_id\": \"97494\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97495\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"97496\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97497\",\n \"answer\": \"Juliana likes visiting museums\"\n },\n {\n \"question_id\": \"97498\",\n \"answer\": \"Carmen and Leo would like to go shopping in Covent Garden\"\n },\n {\n \"question_id\": \"97499\",\n \"answer\": \"Juliana would rather do some shopping in Oxford Street\"\n },\n {\n \"question_id\": \"97500\",\n \"answer\": \"Felipe\"\n },\n {\n \"question_id\": \"97501\",\n \"answer\": \"Felipe and Juliana\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ROME: The legend of Leonardo da Vinci is covered in mystery: How did he die? Are the remains buried in a French castle really those of the master? Was the \"Mona Lisa\" a self-portrait in disguise ? \n\nA group of Italian scientists believe the key to solving those puzzles lies with the remains, and they say they are seeking permission to dig up the body to conduct carbon and DNA testing. \n\nIf the skull is undamaged, the scientists can go to the heart of a question that has fascinated scholars and the public for centuries: the identity of the \"Mona Lisa.\" Recreating a virtual and then physical reconstruction of Leonardo's face, they can compare it with the smiling face in the painting. \n\n\"We don't know what we'll find if the tomb is opened. We could even just find grains and dust,\" says Giorgio Gruppioni, an anthropologist who is participating in the project. \"But if the remains are well kept, they are a biological record of events in a person's life, and sometimes in their death.\" Silvano Vinceti, the leader of the group, said that _ in charge of the said burial site at Amboise Castle early next week. \n\nLeonardo moved to France at the invitation of King Francis I, who named him \"first painter to the king.\" He spent the last three years of his life there, and died in 1519 at age 67. The artist's original burial place, the palace church of Saint Florentine, was destroyed during the French Revolution and remains that are believed to be his were eventually reburied in the Saint-Hubert Chapel near the castle. \n\n\"The Amboise tomb is a symbolic tomb; it's a big question mark,\" said Alessandro Vezzosi, the director of a museum dedicated to Leonardo in his hometown of Vinci. Vezzosi said that investigating the tomb could help identify the artist's bones with certainty and solve other questions, such as the cause of his death. He said he asked to open the tomb in 2004 to study the remains, but the Amboise Castle turned him down. \n\nThe group of 100 experts involved in the project, called the National Committee for Historical and Artistic Heritage, was created in 2003 with the aim of \"solving the great mysteries of the past,\" said Vinceti, who has written books on art and literature. \n\nArguably the world's most famous painting, the \"Mona Lisa\" hangs in the Louvre in Paris, where it drew some 8.5 million visitors last year. Mystery has surrounded the identity of the painting's subject for centuries, with opinions ranging from the wife of a Florentine merchant to Leonardo's own mother. \n\nThat Leonardo intended the \"Mona Lisa\" as a self-portrait in disguise is a possibility that has interested and divided scholars. Theories have existed: Some think that Leonardo's taste for tricks and riddles might have led him to hide his own identity behind that puzzling smile; others have guessed that the painting hid an androgynous lover. \n\nIf granted access to the grave site, the Italian experts plan to use a tiny camera and radar to confirm the presence of bones. The scientists would then exhume the remains and attempt to date the bones with carbon testing. \n\nAt the heart of the proposed study is the effort to discover whether the remains are actually Leonardo's, including with DNA testing. \n\nVezzosi questions the DNA comparison, saying he is unaware of any direct descendants of Leonardo or of tombs that could be attributed with certainty to the artist's close relatives. \n\nGruppioni said that DNA from the bones could also eventually be compared to DNA found elsewhere. For example, Leonardo is thought to have rubbed colors on the canvas with his thumb, possibly using saliva , meaning DNA might be found on his paintings. \n\nEven in the absence of DNA testing, other tests could provide useful information, including whether the bones belonged to a man or a woman, and whether the person died young or old. \n\nEven within the committee, experts are divided over the identity of the \"Mona Lisa.\" \n\nVinceti believes that a tradition of considering the self-portrait to be not just a faithful imitation of one's features but a representation of one's spiritual identity may have resonated with Leonardo. \n\nVezzosi, the museum director, dismissed as \"baseless and senseless\" the idea that the \"Mona Lisa\" could be a self-portrait of Leonardo. He said most researchers believe the woman may have been either a wife of the artist's sponsor, the Florentine nobleman Giuliano de Medici, or Lisa Gherardini, the wife of a rich silk merchant, Francesco del Giocondo. The traditional view is that the name \"Mona Lisa\" comes from the silk merchant's wife, as well as its Italian name: \"La Gioconda.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50245\": \"Whose body do scientists want to dig up?\"\n },\n {\n \"50246\": \"What testing do they want to do?\"\n },\n {\n \"50247\": \"At what age did he die?\"\n },\n {\n \"50248\": \"In what year?\"\n },\n {\n \"50249\": \"What happened to his original grave site?\"\n },\n {\n \"50250\": \"During which historical event?\"\n },\n {\n \"50251\": \"Where was this original site?\"\n },\n {\n \"50252\": \"Where is he thought to be reburied?\"\n },\n {\n \"50253\": \"Are they sure?\"\n },\n {\n \"50254\": \"What is the world's most famous painting?\"\n },\n {\n \"50255\": \"How many people saw it last year?\"\n },\n {\n \"50256\": \"Is anyone certain who is depicted in the painting?\"\n },\n {\n \"50257\": \"What is one theory?\"\n },\n {\n \"50258\": \"Does Vezzosi think that the Mona Lisa is a self-portrait?\"\n },\n {\n \"50259\": \"When did he first ask to study the remains?\"\n },\n {\n \"50260\": \"Was he allowed?\"\n },\n {\n \"50261\": \"What project was created in 2003?\"\n },\n {\n \"50262\": \"With how many experts involved?\"\n },\n {\n \"50263\": \"What will carbon testing help scientists discover?\"\n },\n {\n \"50264\": \"What tools do experts plan to use?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"50245\",\n \"answer\": \"Leonardo da Vinci\"\n },\n {\n \"question_id\": \"50246\",\n \"answer\": \"carbon and DNA testing\"\n },\n {\n \"question_id\": \"50247\",\n \"answer\": \"67\"\n },\n {\n \"question_id\": \"50248\",\n \"answer\": \"1519\"\n },\n {\n \"question_id\": \"50249\",\n \"answer\": \"it was destroyed\"\n },\n {\n \"question_id\": \"50250\",\n \"answer\": \"the French Revolution\"\n },\n {\n \"question_id\": \"50251\",\n \"answer\": \"palace church of Saint Florentine\"\n },\n {\n \"question_id\": \"50252\",\n \"answer\": \"the Saint-Hubert Chapel\"\n },\n {\n \"question_id\": \"50253\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50254\",\n \"answer\": \"the \\\"Mona Lisa\\\"\"\n },\n {\n \"question_id\": \"50255\",\n \"answer\": \"8.5 million\"\n },\n {\n \"question_id\": \"50256\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50257\",\n \"answer\": \"it's Leonardo's own mother\"\n },\n {\n \"question_id\": \"50258\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50259\",\n \"answer\": \"2004\"\n },\n {\n \"question_id\": \"50260\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50261\",\n \"answer\": \"the National Committee for Historical and Artistic Heritage\"\n },\n {\n \"question_id\": \"50262\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"50263\",\n \"answer\": \"the bone's age\"\n },\n {\n \"question_id\": \"50264\",\n \"answer\": \"a camera and radar\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 VII. Prince Ricardo and an Old Enemy. \n\n{The Yellow Dwarf: p123.jpg} \n\n\"There is one brute I wish I could get upsides with,\" said Ricardo, at breakfast one morning, his mouth full of sardine. \n\n\"Really, Ricardo, your language is most unprincely,\" said his august father; \"I am always noticing it. You mean, I suppose, that there is one enemy of the human race whom you wish to abolish. What is the name of the doomed foe?\" \n\n\"Well, he is the greatest villain in history,\" said Ricardo. \"You must have read about him, sir, the Yellow Dwarf.\" \n\n\"Yes, I have certainly studied what is told us about him,\" said the king. \"He is no favourite of mine.\" \n\n\"He is the only one, if you notice, sir, of all the scoundrels about whom our ancestors inform us, who escaped the doom which he richly merited at the sword of a good knight.\" \n\nYou may here remark that, since Dick took to his studies, he could speak, when he chose, like a printed book, which was by no means the case before. \n\n\"If you remember, sir, he polished off--I mean, he slew--the King of the Golden Mines and the beautiful, though frivolous, Princess Frutilla. All that the friendly Mermaid could do for them was to turn them into a pair of beautiful trees which intertwine their branches. Not much use in _that_, sir! And nothing was done to the scoundrel. He may be going on still; and, with your leave, I'll go and try a sword-thrust with him. Francalanza says I'm improving uncommon.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53062\": \"Who was eating sardines?\"\n },\n {\n \"53063\": \"For what meal?\"\n },\n {\n \"53064\": \"Who was he talking to?\"\n },\n {\n \"53065\": \"About what person?\"\n },\n {\n \"53066\": \"That a good friend of his?\"\n },\n {\n \"53067\": \"What then?\"\n },\n {\n \"53068\": \"What does his dad do for a living?\"\n },\n {\n \"53069\": \"Who else is mentioned?\"\n },\n {\n \"53070\": \"What does he do?\"\n },\n {\n \"53071\": \"What enabled him to do this?\"\n },\n {\n \"53072\": \"Was he always able to do this?\"\n },\n {\n \"53073\": \"What female is mentioned first?\"\n },\n {\n \"53074\": \"Is she alive?\"\n },\n {\n \"53075\": \"Was she pretty?\"\n },\n {\n \"53076\": \"Who died with her?\"\n },\n {\n \"53077\": \"What did the mermaid do?\"\n },\n {\n \"53078\": \"Was she personable?\"\n },\n {\n \"53079\": \"Was that effective?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53062\",\n \"answer\": \"Ricardo\"\n },\n {\n \"question_id\": \"53063\",\n \"answer\": \"breakfast\"\n },\n {\n \"question_id\": \"53064\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"53065\",\n \"answer\": \"the Yellow Dwarf\"\n },\n {\n \"question_id\": \"53066\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53067\",\n \"answer\": \"a foe\"\n },\n {\n \"question_id\": \"53068\",\n \"answer\": \"he is the king\"\n },\n {\n \"question_id\": \"53069\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"53070\",\n \"answer\": \"he could speak like a printed book\"\n },\n {\n \"question_id\": \"53071\",\n \"answer\": \"he took to his studies\"\n },\n {\n \"question_id\": \"53072\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53073\",\n \"answer\": \"Princess Frutilla\"\n },\n {\n \"question_id\": \"53074\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53075\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53076\",\n \"answer\": \"the King of the Golden Mines\"\n },\n {\n \"question_id\": \"53077\",\n \"answer\": \"turn them into a pair of beautiful trees\"\n },\n {\n \"question_id\": \"53078\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53079\",\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 Zhejiang (help·info), formerly romanized as Chekiang, is an eastern coastal province of China. Zhejiang is bordered by Jiangsu province and Shanghai municipality to the north, Anhui province to the northwest, Jiangxi province to the west, and Fujian province to the south; to the east is the East China Sea, beyond which lie the Ryukyu Islands of Japan. \n\nThe province's name derives from the Zhe River (浙江, Zhè Jiāng), the former name of the Qiantang River which flows past Hangzhou and whose mouth forms Hangzhou Bay. It is usually glossed as meaning \"Crooked\" or \"Bent River\", from the meaning of Chinese 折, but is more likely a phono-semantic compound formed from adding 氵 (the \"water\" radical used for river names) to phonetic 折 (pinyin zhé but reconstructed Old Chinese *tet), preserving a proto-Wu name of the local Yue, similar to Yuhang, Kuaiji, and Jiang. \n\nZhejiang was the site of the Neolithic cultures of the Hemudu and Liangzhu. A 2007 analysis of the DNA recovered from human remains in the archeological sites of prehistoric peoples along the Yangtze River shows high frequencies of haplogroup O1 in the Liangzhu culture, linking them to Austronesian and Tai-Kadai peoples.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28023\": \"Where type of province is Zhejiang\"\n },\n {\n \"28024\": \"What province is it bordered by?\"\n },\n {\n \"28025\": \"What is north of it?\"\n },\n {\n \"28026\": \"What is the name of it derived from?\"\n },\n {\n \"28027\": \"What is another meaning of it?\"\n },\n {\n \"28028\": \"It was the place of what culture?\"\n },\n {\n \"28029\": \"Where was the DNA found?\"\n },\n {\n \"28030\": \"What were found as high ratings?\"\n },\n {\n \"28031\": \"What was it linked to?\"\n },\n {\n \"28032\": \"What was the former name of the river in the past?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28023\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"28024\",\n \"answer\": \"Jiangsu province\"\n },\n {\n \"question_id\": \"28025\",\n \"answer\": \"Shanghai municipality\"\n },\n {\n \"question_id\": \"28026\",\n \"answer\": \"Zhe River\"\n },\n {\n \"question_id\": \"28027\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"28028\",\n \"answer\": \"Neolithic cultures\"\n },\n {\n \"question_id\": \"28029\",\n \"answer\": \"Yangtze River\"\n },\n {\n \"question_id\": \"28030\",\n \"answer\": \"haplogroup O1\"\n },\n {\n \"question_id\": \"28031\",\n \"answer\": \"Austronesian and Tai-Kadai peoples\"\n },\n {\n \"question_id\": \"28032\",\n \"answer\": \"Zhe River\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Recently, a small group of birdwatchers spent three weeks around Mount Vernon. They were busy counting wild birds on Mount Vernon's wetlands, south of Washington, D.C. They began in the middle of December and worked until the beginning of January, 2015. \n\nThe birdwatchers were among 70,000 volunteers who collected information for the National Audubon Society, a U.S. conservation group. They counted birds in more than 2,400 areas in the United States, Canada, the Caribbean Sea and other parts of the Americas. \n\nThe Audubon Society's first \"Christmas Bird Count\" took place 115 years ago in 1900. At that time, a man named Frank Chapman suggested a new Christmas tradition that people count birds instead of shooting them around the holiday. \n\nHarry Glasgow has taken part in the Christmas Bird Count for the past 10 years. This year, he was one of the volunteer birdwatchers at Mount Vernon. \n\n\"I think it's a tremendous use of a lot of unofficial talent around the nation to keep track of birds. Birds are one of the surest indicators of the health of ecology.\" \n\nLast year, the bird count recorded over 66 million birds of 2,403 different species. \n\nGary Langham is chief scientist with the National Audubon Society. \n\n\"The Audubon climate report says that half the birds in North America -- 314 out of 588 species -- are seriously threatened by climate change. The impacts sort of cut across all birds, all sizes, all kinds, all places.\" \n\nInformation from the bird counts has shown that birds are staying farther north during the winter months because of warmer weather. Birdwatcher Jaime Reidy has noted the difference close to Washington, in the state of Virginia. \n\n\"You get to see them at odd times of the year, a little earlier, staying a little later.\" \n\nGary Langham says other conditions are affecting bird populations. \n\n\"You can imagine the birds that live along the beach or along the rocky shore line as sea levels are rising around the world. That is impacting them, you know.\" \n\nDavid Yarnold is president of the Audubon Society. In his words, \"Christmas Bird Count data is becoming important not only in documenting current climate change, but in predicting the future effects of climate change on North American bird populations. If we know what to expect, we can start taking actions now to do something about it.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80593\": \"Who were people volunteering for?\"\n },\n {\n \"80594\": \"What were they doing?\"\n },\n {\n \"80595\": \"In how many parts of the U.S.?\"\n },\n {\n \"80596\": \"Any other countries?\"\n },\n {\n \"80597\": \"Does this counting event have a name?\"\n },\n {\n \"80598\": \"What?\"\n },\n {\n \"80599\": \"Who's idea was it?\"\n },\n {\n \"80600\": \"What year did it start?\"\n },\n {\n \"80601\": \"What is the information used for?\"\n },\n {\n \"80602\": \"Can it help with understanding climate change?\"\n },\n {\n \"80603\": \"Who says it can help?\"\n },\n {\n \"80604\": \"Who is he?\"\n },\n {\n \"80605\": \"Where does he work?\"\n },\n {\n \"80606\": \"How long has Harry Glasgow helped out?\"\n },\n {\n \"80607\": \"Where did he go this year?\"\n },\n {\n \"80608\": \"What month did they start?\"\n },\n {\n \"80609\": \"When did they stop?\"\n },\n {\n \"80610\": \"Was he part of a group?\"\n },\n {\n \"80611\": \"How many birds were counted the previous year?\"\n },\n {\n \"80612\": \"What portion of North American birds have a problem with climate change?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"80593\",\n \"answer\": \"National Audubon Society,\"\n },\n {\n \"question_id\": \"80594\",\n \"answer\": \"Counted birds.\"\n },\n {\n \"question_id\": \"80595\",\n \"answer\": \"More than 2,400.\"\n },\n {\n \"question_id\": \"80596\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"80597\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"80598\",\n \"answer\": \"\\\"Christmas Bird Count\\\"\"\n },\n {\n \"question_id\": \"80599\",\n \"answer\": \"Frank Chapman.\"\n },\n {\n \"question_id\": \"80600\",\n \"answer\": \"1900.\"\n },\n {\n \"question_id\": \"80601\",\n \"answer\": \"Keep track of birds.\"\n },\n {\n \"question_id\": \"80602\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"80603\",\n \"answer\": \"Gary Langham.\"\n },\n {\n \"question_id\": \"80604\",\n \"answer\": \"Chief scientist.\"\n },\n {\n \"question_id\": \"80605\",\n \"answer\": \"National Audubon Society.\"\n },\n {\n \"question_id\": \"80606\",\n \"answer\": \"10 years.\"\n },\n {\n \"question_id\": \"80607\",\n \"answer\": \"Mount Vernon.\"\n },\n {\n \"question_id\": \"80608\",\n \"answer\": \"December\"\n },\n {\n \"question_id\": \"80609\",\n \"answer\": \"Beginning of January.\"\n },\n {\n \"question_id\": \"80610\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"80611\",\n \"answer\": \"Over 66 million.\"\n },\n {\n \"question_id\": \"80612\",\n \"answer\": \"Half.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII \n\nTHE EMERALD RING \n\nGrahame went in to dinner feeling anxious. Sarmiento had not returned, but he would probably come in before the meal was over, and Gomez was sitting by Cliffe near the head of the table. Blanca sat opposite Walthew, and Grahame found a place next to Evelyn, who had not joined Cliffe because she disliked Gomez. Though his manners were polished, there was something sinister about him, a hint of craft and cruelty, and she did not approve of his association with her father. \n\n\"Have you met the gentleman yonder?\" she asked Grahame. \n\n\"Señor Gomez? I know who he is, but have not spoken to him.\" \n\n\"That's curious, because he has been looking at you as if he were interested.\" \n\nThis confirmed Grahame's suspicion, and he felt uneasy. He did not want Gomez to study him, and he would not have come in to dinner only that he must warn Sarmiento. If he and his friends were to succeed in their undertaking, their connection with Don Martin must remain unknown; for it would not be difficult to catch them landing arms should their object be suspected. He wondered where Macallister was, for the engineer could be trusted in an emergency, and presently he saw him coming in. There was no vacant place near Grahame, and Macallister sat down some distance off. \n\n\"You may have been mistaken, Miss Cliffe,\" Grahame suggested. \"Somehow, I imagine that Gomez is not a favorite of yours.\" \n\n\"That's true, though I hardly know him,\" she answered with a smile. \"One is now and then seized by a quick prejudice, and I think the reason I mentioned the man was because I wanted your opinion.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47652\": \"Was Sarmiento at the dinner when Grahame arrived?\"\n },\n {\n \"47653\": \"How many people are named as sitting at the table?\"\n },\n {\n \"47654\": \"What are their names?\"\n },\n {\n \"47655\": \"What did Evelyn think about Gomez?\"\n },\n {\n \"47656\": \"Why?\"\n },\n {\n \"47657\": \"Who did she ask about him?\"\n },\n {\n \"47658\": \"Had he talked with Gomez?\"\n },\n {\n \"47659\": \"Who joined the table later?\"\n },\n {\n \"47660\": \"Did he sit near Grahame?\"\n },\n {\n \"47661\": \"What was Macallister's job?\"\n },\n {\n \"47662\": \"Why did Evelyn ask Grahame about Gomez?\"\n },\n {\n \"47663\": \"Did Evelyn find anything odd about Grahame's answer?\"\n },\n {\n \"47664\": \"Why?\"\n },\n {\n \"47665\": \"Did this please Grahame?\"\n },\n {\n \"47666\": \"Why not?\"\n },\n {\n \"47667\": \"who does Grahame have a secret connection with?\"\n },\n {\n \"47668\": \"Did Gomez know Don Martin?\"\n },\n {\n \"47669\": \"Was Grahame the only one with this connection?\"\n },\n {\n \"47670\": \"Was Gomez rude?\"\n },\n {\n \"47671\": \"Who was Gomez sitting next to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47652\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47653\",\n \"answer\": \"six\"\n },\n {\n \"question_id\": \"47654\",\n \"answer\": \"Gomez, Cliffe, Blanca, Walthew, Grahame and Evelyn\"\n },\n {\n \"question_id\": \"47655\",\n \"answer\": \"She disliked him\"\n },\n {\n \"question_id\": \"47656\",\n \"answer\": \"there was something sinister about him\"\n },\n {\n \"question_id\": \"47657\",\n \"answer\": \"Grahame\"\n },\n {\n \"question_id\": \"47658\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47659\",\n \"answer\": \"Macallister\"\n },\n {\n \"question_id\": \"47660\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47661\",\n \"answer\": \"engineer\"\n },\n {\n \"question_id\": \"47662\",\n \"answer\": \"she wanted his opinion\"\n },\n {\n \"question_id\": \"47663\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47664\",\n \"answer\": \"Gomez had been looking at Grahame as if he was interested\"\n },\n {\n \"question_id\": \"47665\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47666\",\n \"answer\": \"he did not want Gomez to study him\"\n },\n {\n \"question_id\": \"47667\",\n \"answer\": \"Don Martin\"\n },\n {\n \"question_id\": \"47668\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"47669\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47670\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47671\",\n \"answer\": \"Cliffe\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Three friends, Tom, David and John, came to New York for their holiday. They stayed in a very large hotel. Their room was on the 45thfloor. In the evening, the three men went to the cinema and came back to the hotel very late. \"I'm very sorry,\" said the man of the hotel, \"but our lifts do not work tonight. If you don't want to walk up to your room, I'll make beds for you in the hall . \" \"No, thanks,\" said Tom, \"we don't want to sleep in the hall. We will walk up to the 45thfloor. But I know how to make it easier. On the way to our room, I'll tell you some jokes. Then you, David, will sing us some songs. Then you, John, will tell us some stories, all right?\" So they began to walk upstairs. Tom told them many jokes. David sang them some songs. At last they came to the 34thfloor. They were tired and had a rest. \"Well,\" said Tom. \"Now it's your turn, John. After all these jokes and songs, tell us a long and interesting story with a sad ending. \" \"OK, I'll tell a sad story,\" said John, \"It's not long but very sad. I forgot to bring the key to our room with me. It's still in the hall. \"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4369\": \"How many friends were there?\"\n },\n {\n \"4370\": \"What were there names?\"\n },\n {\n \"4371\": \"Where did they go?\"\n },\n {\n \"4372\": \"Where did they stay?\"\n },\n {\n \"4373\": \"Did they go to a restaurant?\"\n },\n {\n \"4374\": \"Where did they go?\"\n },\n {\n \"4375\": \"Did they get back early?\"\n },\n {\n \"4376\": \"What wasn\"\n },\n {\n \"4377\": \"Sorry, that was supposed to ask, what wasn't operational?\"\n },\n {\n \"4378\": \"Did they want to camp out in the hallway?\"\n },\n {\n \"4379\": \"What did they decide to do?\"\n },\n {\n \"4380\": \"What did Tom suggest?\"\n },\n {\n \"4381\": \"What did he want David to do?\"\n },\n {\n \"4382\": \"And John?\"\n },\n {\n \"4383\": \"What did they forget to bring?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4369\",\n \"answer\": \"3 friends\"\n },\n {\n \"question_id\": \"4370\",\n \"answer\": \"David, Tom and John\"\n },\n {\n \"question_id\": \"4371\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"4372\",\n \"answer\": \"In a hotel\"\n },\n {\n \"question_id\": \"4373\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4374\",\n \"answer\": \"The cinema\"\n },\n {\n \"question_id\": \"4375\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4376\",\n \"answer\": \"They were very late.\"\n },\n {\n \"question_id\": \"4377\",\n \"answer\": \"The lifts\"\n },\n {\n \"question_id\": \"4378\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4379\",\n \"answer\": \"Walk to the 45th floor\"\n },\n {\n \"question_id\": \"4380\",\n \"answer\": \"To tell some jokes.\"\n },\n {\n \"question_id\": \"4381\",\n \"answer\": \"Sing some songs.\"\n },\n {\n \"question_id\": \"4382\",\n \"answer\": \"Tell some stories.\"\n },\n {\n \"question_id\": \"4383\",\n \"answer\": \"The key.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Moreover, a conflict of interest between professional investment managers and their institutional clients, combined with a global glut in investment capital, led to bad investments by asset managers in over-priced credit assets. Professional investment managers generally are compensated based on the volume of client assets under management. There is, therefore, an incentive for asset managers to expand their assets under management in order to maximize their compensation. As the glut in global investment capital caused the yields on credit assets to decline, asset managers were faced with the choice of either investing in assets where returns did not reflect true credit risk or returning funds to clients. Many asset managers chose to continue to invest client funds in over-priced (under-yielding) investments, to the detriment of their clients, in order to maintain their assets under management. This choice was supported by a \"plausible deniability\" of the risks associated with subprime-based credit assets because the loss experience with early \"vintages\" of subprime loans was so low.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59915\": \"How are professional investment managers compensated?\"\n },\n {\n \"59916\": \"what effect does this have?\"\n },\n {\n \"59917\": \"did they feel pressure to grow the assets under their control?\"\n },\n {\n \"59918\": \"who did they have a conflict of interest with?\"\n },\n {\n \"59919\": \"what decision did they have to make when profits from credit assets went down?\"\n },\n {\n \"59920\": \"which did many of them choose?\"\n },\n {\n \"59921\": \"did this benefit their clientele?\"\n },\n {\n \"59922\": \"what effect did too much global investment capital have?\"\n },\n {\n \"59923\": \"was the danger with subprime mortgages considered high?\"\n },\n {\n \"59924\": \"what could they have done instead of investing the client's money?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59915\",\n \"answer\": \"on the volume of client assets under management\"\n },\n {\n \"question_id\": \"59916\",\n \"answer\": \"led to bad investments\"\n },\n {\n \"question_id\": \"59917\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59918\",\n \"answer\": \"their clients\"\n },\n {\n \"question_id\": \"59919\",\n \"answer\": \"choice of either investing in assets where returns did not reflect true credit risk or returning funds to clients\"\n },\n {\n \"question_id\": \"59920\",\n \"answer\": \"to continue to invest client funds in over-priced investments\"\n },\n {\n \"question_id\": \"59921\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59922\",\n \"answer\": \"caused the yields on credit assets to decline\"\n },\n {\n \"question_id\": \"59923\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59924\",\n \"answer\": \"return funds to clients\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Here begins the story of the life of Tim. Tim's father was Frank. Frank's father was Jim. Jim's father was Greg. And Greg's father was Mark. These 5 men had ruled Markton for the last 100 years. For the last 20 years, Tim had been the ruler. When Frank died, Tim became the ruler. In these last 20 years, Tim brought lots of good luck to his people. They had never eaten so well. Most of his people ate 3 meals a day. Recently, Tim had been having trouble with a band of troublemakers led by Horace. Tim chose to do whatever he could to get rid of Horace. So, he got Assassin to get rid of Horace. One night Assassin sneaked into Horace's bedroom and did away with him. With the bad man gone, all the people had a giant party and sang a song about the greatness of their ruler.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96102\": \"Who was the ruler of Markton?\"\n },\n {\n \"96103\": \"How long had he been ruler for?\"\n },\n {\n \"96104\": \"And who was in charge before him?\"\n },\n {\n \"96105\": \"Who was his father?\"\n },\n {\n \"96106\": \"And his father?\"\n },\n {\n \"96107\": \"And his father?\"\n },\n {\n \"96108\": \"How long did all of these men rule in total?\"\n },\n {\n \"96109\": \"What happened to Frank when Tim took over?\"\n },\n {\n \"96110\": \"How often did they have a meal?\"\n },\n {\n \"96111\": \"Who was in charge of the troublemakers?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96102\",\n \"answer\": \"Tim\"\n },\n {\n \"question_id\": \"96103\",\n \"answer\": \"20 years\"\n },\n {\n \"question_id\": \"96104\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"96105\",\n \"answer\": \"Jim\"\n },\n {\n \"question_id\": \"96106\",\n \"answer\": \"Greg\"\n },\n {\n \"question_id\": \"96107\",\n \"answer\": \"Mark.\"\n },\n {\n \"question_id\": \"96108\",\n \"answer\": \"100 years\"\n },\n {\n \"question_id\": \"96109\",\n \"answer\": \"Tim brought lots of good luck to his people\"\n },\n {\n \"question_id\": \"96110\",\n \"answer\": \"3 meals a day\"\n },\n {\n \"question_id\": \"96111\",\n \"answer\": \"Horace\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Christie Andrews was born, she weighed less that half of one kilogram. Her heart was the size of a large coin. Her mother said Christie was so small that she could hold her in the palm of one hand. Christie couldn't breathe without a machine to give her oxygen. If she had been born 20 years earlier, she would probably have died at once. She needed two operations, but she survived without serious damage. Twenty years ago , 90% of all premature babies died. Today, doctors manage to save four out of every five, because they have better machines for breathing and better ways to feed the babies. But saving Christie's life cost more than $ 400,000. In some cases, doctors spend 1 million dollars saving a single child. The parents usually don't have enough money to pay. The government, an insurance company or the hospital picks up the bill. Even after a baby goes home from the hospital, it may require medical care. Some people think it makes more sense to spend money saving 10 adults who have cancer or other diseases than saving one small baby. But nobody wants to be the doctor who has to tell parents to their faces, \"Sorry, I won't save your new child.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13279\": \"Do hospitals spend a lot of money saving babies?\"\n },\n {\n \"13280\": \"How much?\"\n },\n {\n \"13281\": \"Does everyone agree with this practice?\"\n },\n {\n \"13282\": \"Why?\"\n },\n {\n \"13283\": \"Who does the story talk about?\"\n },\n {\n \"13284\": \"How much did she weigh?\"\n },\n {\n \"13285\": \"How much was spent to save her?\"\n },\n {\n \"13286\": \"How many surgeries did she have?\"\n },\n {\n \"13287\": \"What kind of machine did she need?\"\n },\n {\n \"13288\": \"How many babies died 20 years ago?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13279\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"13280\",\n \"answer\": \"1 million dollars\"\n },\n {\n \"question_id\": \"13281\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13282\",\n \"answer\": \"it makes more sense to spend money saving adults\"\n },\n {\n \"question_id\": \"13283\",\n \"answer\": \"Christie Andrews\"\n },\n {\n \"question_id\": \"13284\",\n \"answer\": \"less than half of one kilogram\"\n },\n {\n \"question_id\": \"13285\",\n \"answer\": \"more than $ 400,000\"\n },\n {\n \"question_id\": \"13286\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"13287\",\n \"answer\": \"oxygen\"\n },\n {\n \"question_id\": \"13288\",\n \"answer\": \"90%\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 man accused of hacking celebrities' online accounts -- from which private images were ultimately posted on the Internet -- says he became \"addicted\" to the intrusion and \"didn't know how to stop.\" \n\n\"I deeply apologize. I know what I did was probably one of the worst invasions of privacy someone could experience,\" Christopher Chaney told CNN affiliate WAWS/WTEV in Jacksonville, Florida, Wednesday. \n\n\"And these people don't have privacy to begin with. And I was in that little sliver of privacy they do have.\" \n\nFederal authorities accuse the 35-year-old of hacking into accounts on computers and other devices belonging to more than 50 people, including movie stars Scarlett Johansson and Mila Kunis and singer Christina Aguilera. \n\nChaney was indicted on charges of accessing protected computers without authorization, damaging protected computers, wiretapping and aggravated identity theft, officials said. \n\n\"Unfortunately, Mr. Chaney was able to access nude photos of some of the celebrities and some of them were uploaded on the Internet,\" U.S. Attorney Andre Birotte Jr. said Wednesday. \n\nA recently circulated nude photo of Johannsson is part of the investigation, he said. \n\nChaney allegedly \"also took financial information, movie scripts and conversations that the celebrities believed to be private,\" Birotte told reporters. \n\nThe FBI's Los Angeles office said he was arrested as part of \"Operation Hackerazzi,\" which looked into computer intrusions targeting individuals associated with the entertainment industry. \n\nIn the interview with WAWS/WTEV, Chaney said the hacking \"started as curiosity and it turned into just being, you know, addicted to seeing the behind-the-scenes of what's going on with these people you see on the big screen every day.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79993\": \"What did the guy that hacked celebrities accounts do?\"\n },\n {\n \"79994\": \"WHat was his problem?\"\n },\n {\n \"79995\": \"Who said that it was the worst case of privacy intrusion that they had seen?\"\n },\n {\n \"79996\": \"How old was he?\"\n },\n {\n \"79997\": \"About how many invasions?\"\n },\n {\n \"79998\": \"Who were some of the celebrities affected?\"\n },\n {\n \"79999\": \"Did he get convicted?\"\n },\n {\n \"80000\": \"What were his charges?\"\n },\n {\n \"80001\": \"What did he do with the nude photos he found?\"\n },\n {\n \"80002\": \"What else did he do?\"\n },\n {\n \"80003\": \"WHAT CELEBRITY HAD PHOTOS RELEASED ON THE INTERNET?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"79993\",\n \"answer\": \"private images were ultimately posted on the Internet\"\n },\n {\n \"question_id\": \"79994\",\n \"answer\": \"\\\"addicted\\\" to the intrusion and \\\"didn't know how to stop.\\\"\"\n },\n {\n \"question_id\": \"79995\",\n \"answer\": \"Christopher Chaney\"\n },\n {\n \"question_id\": \"79996\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"79997\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"79998\",\n \"answer\": \"Scarlett Johansson and Mila Kunis and singer Christina Aguilera.\"\n },\n {\n \"question_id\": \"79999\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"80000\",\n \"answer\": \"accessing protected computers without authorization, damaging protected computers, wiretapping and aggravated identity theft\"\n },\n {\n \"question_id\": \"80001\",\n \"answer\": \"uploaded on the Internet\"\n },\n {\n \"question_id\": \"80002\",\n \"answer\": \"also took financial information, movie scripts and conversations that the celebrities believed to be private\"\n },\n {\n \"question_id\": \"80003\",\n \"answer\": \"Johannsson\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Marc Marquez announced himself as motorcycling's bright new hope when he became the youngest rider to win a top-level race in Sunday's inaugural Grand Prix of the Americas in Texas. \n\nThe 20-year-old had been the youngest pole sitter when he topped Saturday's qualifying, and he followed that up by heading off Honda Repsol teammate Dani Pedrosa in the second event of the new MotoGP season. \n\nWorld champion Jorge Lorenzo, who won the opening race in Qatar, came home third for Yamaha to be tied on points with his young compatriot at the top of the standings ahead of their home Spanish Grand Prix next month. \n\n\"To be third in my first race in Qatar was a dream and now, to take the victory in the second race -- that's even better!\" said Marquez, who won the Moto2 championship last year. \n\n\"The race was quite hard, especially in terms of physical condition towards the end. I had some problems with the front that I hadn't had in practice, but even with that I was able to push and keep up a constant rhythm -- not so fast, but enough. \n\n\"So I'm very happy with that and I want to say thanks to all of my team. Without them this would not have been possible.\" \n\nBritain's Cal Crutchlow was fourth on a Monster Tech 3 Yamaha ahead of Germany's Stefan Bradl and Italy's seven-time world champion Valentino Rossi -- back at Yamaha after two disappointing years with Ducati. \n\nRossi's replacement at Ducati, Andrea Dovizioso, was seventh ahead of Spain's Alvaro Bautista, veteran American Nicky Hayden and another Italian, Andrea Iannone. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11734\": \"How old is Marc Marquez?\"\n },\n {\n \"11735\": \"How does he compare to the other pole sitters?\"\n },\n {\n \"11736\": \"Who is his teammate?\"\n },\n {\n \"11737\": \"What team are they on?\"\n },\n {\n \"11738\": \"What is he the youngest to win in Sunda's race?\"\n },\n {\n \"11739\": \"What was the name of the event on Sunday?\"\n },\n {\n \"11740\": \"Was it the first one?\"\n },\n {\n \"11741\": \"Where was it?\"\n },\n {\n \"11742\": \"Who was the winner in the first race of the season?\"\n },\n {\n \"11743\": \"Where was that?\"\n },\n {\n \"11744\": \"Did he do well last year?\"\n },\n {\n \"11745\": \"How'd he finish the season?\"\n },\n {\n \"11746\": \"Where did he place in Texas?\"\n },\n {\n \"11747\": \"Does he feel like it's been easY?\"\n },\n {\n \"11748\": \"Who did he thank?\"\n },\n {\n \"11749\": \"What race is next month?\"\n },\n {\n \"11750\": \"Who was fourth?\"\n },\n {\n \"11751\": \"Where is he from?\"\n },\n {\n \"11752\": \"How many championships has Valentino Rossi won?\"\n },\n {\n \"11753\": \"Where is he from?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11734\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"11735\",\n \"answer\": \"he's younger\"\n },\n {\n \"question_id\": \"11736\",\n \"answer\": \"Dani Pedrosa\"\n },\n {\n \"question_id\": \"11737\",\n \"answer\": \"Honda Repsol\"\n },\n {\n \"question_id\": \"11738\",\n \"answer\": \"a top level race\"\n },\n {\n \"question_id\": \"11739\",\n \"answer\": \"Grand Prix of the Americas\"\n },\n {\n \"question_id\": \"11740\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11741\",\n \"answer\": \"Texas\"\n },\n {\n \"question_id\": \"11742\",\n \"answer\": \"Jorge Lorenzo\"\n },\n {\n \"question_id\": \"11743\",\n \"answer\": \"Qatar\"\n },\n {\n \"question_id\": \"11744\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11745\",\n \"answer\": \"as World champion\"\n },\n {\n \"question_id\": \"11746\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"11747\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11748\",\n \"answer\": \"his team\"\n },\n {\n \"question_id\": \"11749\",\n \"answer\": \"Spanish Grand Prix\"\n },\n {\n \"question_id\": \"11750\",\n \"answer\": \"Cal Crutchlow\"\n },\n {\n \"question_id\": \"11751\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"11752\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"11753\",\n \"answer\": \"Italy\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- In 1984, in the midst of Lebanon's civil war, Naji Gebran started hosting regular gatherings at his Beirut beachfront apartment for the purpose of \"musical therapy.\" \n\nWeary and traumatized from the conflict that had divided their city -- and would claim some 150,000 lives over its 15 years -- people would come to his apartment to lose themselves in a night of jazz, blues, funk, soul, classical and Arabic music. \n\n\"They used to come because of the music, to forget the war,\" said Gebran. \"We used to do this for peace.\" \n\nThe party nights were an important outlet, he said, as during the war years there were few other options. \n\n\"My friends had nowhere to go,\" he said. There were two or three clubs in Christian east Beirut, the same in the city's Muslim west. \n\n\"But they were very constipated. Very good dress, the same music all the time,\" he said. \"It was very commercial, easy listening, everywhere you go.\" \n\nBeirut has come a long way since then. \n\nAfter dark, the city comes alive: A balmy playground of chic nightclubs, rough and ready dives, stylish rooftop bars. \n\nThe hip, hedonistic scenes in the fashionable neighborhoods of Gemmayze or Hamra are unlike anything to be found elsewhere in the Arab world -- and can be an unexpected find in a country in which austere Islamic militant group Hezbollah forms part of the government. \n\n\"It is the nightlife capital of the region,\" said Naomi Sargeant, managing director of city guide Time Out Beirut. \"It's cosmopolitan and has this East-meets-West feel. I don't think there's anything on par.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95196\": \"what is the nightlife capital of the region?\"\n },\n {\n \"95197\": \"how many people died over 15 years in the conflict?\"\n },\n {\n \"95198\": \"during what?\"\n },\n {\n \"95199\": \"when was that?\"\n },\n {\n \"95200\": \"who started hosting parties at his own home?\"\n },\n {\n \"95201\": \"did his friends have anywhere else to go?\"\n },\n {\n \"95202\": \"were there other clubs?\"\n },\n {\n \"95203\": \"which part of beirut is the Christian area?\"\n },\n {\n \"95204\": \"and the Muslim area?\"\n },\n {\n \"95205\": \"how is the nightlife in beirut now?\"\n },\n {\n \"95206\": \"what was the purpose of Gebran's gatherings?\"\n },\n {\n \"95207\": \"was there specific name that he used for his gatherings?\"\n },\n {\n \"95208\": \"what kinds of music were featured?\"\n },\n {\n \"95209\": \"who said that they don't think there is anything on par with beirut's night life?\"\n },\n {\n \"95210\": \"what does she do for a living?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"95196\",\n \"answer\": \"Beirut\"\n },\n {\n \"question_id\": \"95197\",\n \"answer\": \"150,000\"\n },\n {\n \"question_id\": \"95198\",\n \"answer\": \"Lebanon's civil war\"\n },\n {\n \"question_id\": \"95199\",\n \"answer\": \"1984\"\n },\n {\n \"question_id\": \"95200\",\n \"answer\": \"Naji Gebran\"\n },\n {\n \"question_id\": \"95201\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95202\",\n \"answer\": \"two or three\"\n },\n {\n \"question_id\": \"95203\",\n \"answer\": \"east Beirut\"\n },\n {\n \"question_id\": \"95204\",\n \"answer\": \"west.\"\n },\n {\n \"question_id\": \"95205\",\n \"answer\": \"It is the nightlife capital of the region\"\n },\n {\n \"question_id\": \"95206\",\n \"answer\": \"to forget the war\"\n },\n {\n \"question_id\": \"95207\",\n \"answer\": \"musical therapy\"\n },\n {\n \"question_id\": \"95208\",\n \"answer\": \"azz, blues, funk, soul, classical and Arabic music.\"\n },\n {\n \"question_id\": \"95209\",\n \"answer\": \"Naomi Sargeant,\"\n },\n {\n \"question_id\": \"95210\",\n \"answer\": \"managing director of city\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 1943, when I was 4, my parents moved from Coeur d'Alene, Idaho, to Fairbanks, Alaska, where adventure was never very far away. \n\nWe arrived in the summer, just in time to enjoy the midnight sun. All that sunlight was fantastic for Mom's vegetable garden. Working in the garden at midnight tended to throw her timing off, so she didn't care much about my bedtime. \n\nDad was a Railway Express agent and Mom was his clerk. That left me in a mess. I usually managed to find some trouble to get into. Once I had a little Are going in the dirt basement of a hotel. I had tried to light a barrel of paint but couldn't really get a good fire going. The smoke got pretty bad, though, and when 1 made my exit, a crowd and the police were there to greet me. The policemen took my matches and drove me \n\nMom and Dad were occupied in the garden and Dad told the police to keep me, and they did! I had a tour of the prison before Mom rescued me. 1 hadn't turned 5 yet. \n\nAs I entered kindergarten, the serious cold began to set in. Would it surprise you to know that I soon left part of my tongue on a metal handrail at school? \n\nAs for Leonhard Seppala, famous as a dog sledder , I think I knew him well because I was taken for a ride with his white dog team one Sunday. At the time I didn't realize what a superstar he was, but I do remember the ride well. I was wrapped heavily and well sheltered from the freezing and blowing weather. \n\nIn 1950, we moved back to Coeur d'Alene, but we got one more Alaskan adventure when Leonhard invited us eight years later by paying a visit to Idaho to attend a gathering of former neighbors of Alaska.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54383\": \"How old was the person when they moved?\"\n },\n {\n \"54384\": \"in what year?\"\n },\n {\n \"54385\": \"Where did they move to?\"\n },\n {\n \"54386\": \"Was it a boring place?\"\n },\n {\n \"54387\": \"What was good for the garden?\"\n },\n {\n \"54388\": \"What kind?\"\n },\n {\n \"54389\": \"Was this person a micheavous kid?\"\n },\n {\n \"54390\": \"WHat happened one day?\"\n },\n {\n \"54391\": \"did it work?\"\n },\n {\n \"54392\": \"what happened instead?\"\n },\n {\n \"54393\": \"Did he get caught?\"\n },\n {\n \"54394\": \"by who?\"\n },\n {\n \"54395\": \"Did they stay in Alaska?\"\n },\n {\n \"54396\": \"where did they go?\"\n },\n {\n \"54397\": \"how long did they stay in Alaska?\"\n },\n {\n \"54398\": \"what happened 8 years after the move?\"\n },\n {\n \"54399\": \"foir what?\"\n },\n {\n \"54400\": \"Wten?at was the weather like in Kindergard\"\n },\n {\n \"54401\": \"What happened to the handrail?\"\n },\n {\n \"54402\": \"What did dad tell the police when I was brought home?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54383\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"54384\",\n \"answer\": \"1943\"\n },\n {\n \"question_id\": \"54385\",\n \"answer\": \"Fairbanks, Alaska\"\n },\n {\n \"question_id\": \"54386\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54387\",\n \"answer\": \"mom's garden\"\n },\n {\n \"question_id\": \"54388\",\n \"answer\": \"vegetable\"\n },\n {\n \"question_id\": \"54389\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54390\",\n \"answer\": \"I had tried to light a barrel of pain\"\n },\n {\n \"question_id\": \"54391\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54392\",\n \"answer\": \"smoke got pretty bad\"\n },\n {\n \"question_id\": \"54393\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54394\",\n \"answer\": \"a crowd and the police\"\n },\n {\n \"question_id\": \"54395\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54396\",\n \"answer\": \"Coeur d'Alene\"\n },\n {\n \"question_id\": \"54397\",\n \"answer\": \"7 years\"\n },\n {\n \"question_id\": \"54398\",\n \"answer\": \"Leonhard visited Idaho\"\n },\n {\n \"question_id\": \"54399\",\n \"answer\": \"to attend a gathering of former neighbors of Alaska\"\n },\n {\n \"question_id\": \"54400\",\n \"answer\": \"cold\"\n },\n {\n \"question_id\": \"54401\",\n \"answer\": \"left part of my tongue on it\"\n },\n {\n \"question_id\": \"54402\",\n \"answer\": \"to keep me\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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: A PAINFUL TIME \n\nWhen Ned was left alone he rolled himself up in the blankets, placed a pillow which Polly had brought him under his head, and lay and looked at the fire; but it was not until the flames had died down, and the last red glow had faded into blackness that he fell off to sleep. \n\nHis thoughts were bitter in the extreme. He pictured to himself the change which would take place in his home life with Mulready the manufacturer, the tyrant of the workmen, ruling over it. For himself he doubted not that he would be able to hold his own. \n\n\"He had better not try on his games with me,\" he muttered savagely. \"Though I am only sixteen he won't find it easy to bully me; but of course Charlie and Lucy can't defend themselves. However, I will take care of them. Just let him be unkind to them, and see what comes of it! As to mother, she must take what she gets, at least she deserves to. Only to think of it! only to think of it! Oh, how bitterly she will come to repent! How could she do it! \n\n\"And with father only dead a year! But I must stand by her, too. I promised father to be kind to her, though he could never have guessed how she would need it. He meant that I would only put up, without losing my temper, with her way of always pretending to be ill, and never doing anything but lie on the sofa and read poetry. Still, of course, it meant I was to be kind anyhow, whatever happened, and I will try to be so, though it is hard when she has brought such trouble upon us all. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26113\": \"How old was Fred?\"\n },\n {\n \"26114\": \"Did Ned have family?\"\n },\n {\n \"26115\": \"Who?\"\n },\n {\n \"26116\": \"Where is his father?\"\n },\n {\n \"26117\": \"Did he have siblings?\"\n },\n {\n \"26118\": \"Were they older or younger?\"\n },\n {\n \"26119\": \"Did he feel as if he had to protect them?\"\n },\n {\n \"26120\": \"How did he feel about his mother?\"\n },\n {\n \"26121\": \"Why?\"\n },\n {\n \"26122\": \"What had Ted promised his father?\"\n },\n {\n \"26123\": \"Was he bitter?\"\n },\n {\n \"26124\": \"When did he finally fall asleep?\"\n },\n {\n \"26125\": \"Did he have a blanket?\"\n },\n {\n \"26126\": \"Who was he thinking about?\"\n },\n {\n \"26127\": \"Who was that?\"\n },\n {\n \"26128\": \"Was he known to be a tyrant?\"\n },\n {\n \"26129\": \"What did his mother like to read?\"\n },\n {\n \"26130\": \"Where would she do that?\"\n },\n {\n \"26131\": \"Was she dating Mulready?\"\n },\n {\n \"26132\": \"Was Mulready in control of their home?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"26113\",\n \"answer\": \"sixteen\"\n },\n {\n \"question_id\": \"26114\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26115\",\n \"answer\": \"a mother\"\n },\n {\n \"question_id\": \"26116\",\n \"answer\": \"dead\"\n },\n {\n \"question_id\": \"26117\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26118\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"26119\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26120\",\n \"answer\": \"she must take what she gets\"\n },\n {\n \"question_id\": \"26121\",\n \"answer\": \"she deserves to\"\n },\n {\n \"question_id\": \"26122\",\n \"answer\": \"to be kind to her\"\n },\n {\n \"question_id\": \"26123\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26124\",\n \"answer\": \"when the flames had died dow\"\n },\n {\n \"question_id\": \"26125\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26126\",\n \"answer\": \"Mulready\"\n },\n {\n \"question_id\": \"26127\",\n \"answer\": \"the manufacturer,\"\n },\n {\n \"question_id\": \"26128\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26129\",\n \"answer\": \"poetry\"\n },\n {\n \"question_id\": \"26130\",\n \"answer\": \"on the sofa\"\n },\n {\n \"question_id\": \"26131\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"26132\",\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 XVI \n\nAND THE PUPPETS DANCED \n\nAnd so he went to meet Louisa and Colonel Harris at the Danish Legation, and found them a taxicab and generally saw to their comparative comfort. \n\nThere was no restraint between the three of them. It was as natural to them all to avoid speaking of important matters on the door step of a neighbour's house, as it was to eat or drink or breathe. So Luke asked if the dinner had been enjoyable and the reception crowded, and Colonel Harris comfortably complained of both. He hated foreign cooking, and society crushes, and had endured both to-night. No doubt the terrible events of this night, as yet mere shadows--hardly admitted to be real--were weighing on the kind old man's usual hearty spirits. \n\nBut so versed were they all in the art of make believe that each one individually was able to register in the innermost depths of an anxious heart the firm conviction that the other \"had not heard.\" \n\nLuke was convinced that the gruesome and sordid news could not have penetrated within the gorgeous mansion where Lou in an exquisite gown had sung modern songs in her pure contralto voice. He felt sure that neither Lou nor Colonel Harris had heard that Philip de Mountford had been murdered in a taxicab and that police officers had thought fit to speak to him--Luke--in tones of contemptuous familiarity. Nay more! now that he himself sat thus opposite good-natured, prosy, sensible Colonel Harris, he began to think that he must have been dreaming, that the whole thing could not have occurred, but that he had imagined it all whilst leaning against the garden-railings trying to strain his ears so that they should hear the soft faint echo of that pure contralto voice. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4461\": \"Who was going to be met at the Danish legation?\"\n },\n {\n \"4462\": \"What was Like convinced of?\"\n },\n {\n \"4463\": \"What was it Colonel Harris complained of?\"\n },\n {\n \"4464\": \"What kind of cooking was it he didn't like?\"\n },\n {\n \"4465\": \"What did Colonel Harris hear about Phillip de Mountford?\"\n },\n {\n \"4466\": \"How did the police speak to Luke?\"\n },\n {\n \"4467\": \"What was it that luke summoned to go to the Danish Legation?\"\n },\n {\n \"4468\": \"What was it that weighed on Colonel Harrises usual hearty spirits?\"\n },\n {\n \"4469\": \"of when?\"\n },\n {\n \"4470\": \"Did luke ever consider that he must of been dreaming and that the events couldn't of occured?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"4461\",\n \"answer\": \"Luke\"\n },\n {\n \"question_id\": \"4462\",\n \"answer\": \"news could not have penetrated\"\n },\n {\n \"question_id\": \"4463\",\n \"answer\": \"dinner and crowd\"\n },\n {\n \"question_id\": \"4464\",\n \"answer\": \"foreign\"\n },\n {\n \"question_id\": \"4465\",\n \"answer\": \"murdered\"\n },\n {\n \"question_id\": \"4466\",\n \"answer\": \"tones of contemptuous familiarity\"\n },\n {\n \"question_id\": \"4467\",\n \"answer\": \"comfortable\"\n },\n {\n \"question_id\": \"4468\",\n \"answer\": \"terrible events\"\n },\n {\n \"question_id\": \"4469\",\n \"answer\": \"of that night\"\n },\n {\n \"question_id\": \"4470\",\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 \"Mobile phones killed our man,\"screamed one headline last year. Also came claims that an unpublished study had found that mobile phones cause memory loss. And a British newspaper devoted its front page to a picture supposedly showing how mobile phones heat the brain. \n\nFor anyone who uses a moblie phone, these are worring times. But speak to the scientists whose work is the focus of these scared and you will hear a different story. \n\nWhat we do have, however, are some results suggesting that mobile phones'emission have a variety of strange effects on living tissue that can't be explained by the general radiation biology. And it's only when the questions raised by these experients are answered that we'll be able to say for sure what moblie phones might be doing to the brain. \n\nOne of the odd effects comes from the now famous\"merrory loss\" study. Alan Preece and his colleagues at the prefix = st1 /UniversityofBristolplaced a device that imitated the microwave emission of mobile phones to the left ear of volunteers. The volunteers were all goood at recalling words and pictures they had been shown on a computer screen. Preece says he still can't comment on the effects of using a mobile phone for years on end. But he rules out the suggestion that mobile phones have an immediate effect on our cognitive abilities.\"I'm pretty sure there is no effect on short-term memory,\" he says. \n\nAnother expert, Tatterasll, remarked that his latest findings have removed fears about memory loss. One result, for instance, suggests that nerve cell synapses exposed to microwaves become more----rather than less-----receptive to under-going changes linked to the memory formation. \n\nIt would be an even happier outcome if microwave turned out to be good for you. It sounds crazy, but a couple of years ago a team led by William Adey at the Veterans Affairs Medical Center in California, found that mice exposed to microwave for two hours a day were less likely to develop brain tumours when given a cancer-causing chemical. \n\nSo should we forget about mobile phone radiation causing brain tumours and scrambling our minds? \n\n\"If it doesn't certainly cause cancer in animals and cells, then it probably isn't going to cause cancer in humans,\"says William. And while there's still no evidence that mobile phone does mangle your memories or give your cancer, the _ is:Don't panic.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7073\": \"What common tool is the subject of this article?\"\n },\n {\n \"7074\": \"Is it about how high roaming prices are?\"\n },\n {\n \"7075\": \"Then what it is about?\"\n },\n {\n \"7076\": \"Do they make the head get hot or cold?\"\n },\n {\n \"7077\": \"Who did an experiment to see if they make you remember poorly?\"\n },\n {\n \"7078\": \"Did he come to a conclusion about immediate use?\"\n },\n {\n \"7079\": \"What was it?\"\n },\n {\n \"7080\": \"Did someone suggest it might help prevent forgetting things?\"\n },\n {\n \"7081\": \"Who?\"\n },\n {\n \"7082\": \"What happened to rodents that were tested?\"\n },\n {\n \"7083\": \"Who tested them?\"\n },\n {\n \"7084\": \"Where?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7073\",\n \"answer\": \"Mobile phones\"\n },\n {\n \"question_id\": \"7074\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7075\",\n \"answer\": \"mobile phones causing memory loss\"\n },\n {\n \"question_id\": \"7076\",\n \"answer\": \"hot\"\n },\n {\n \"question_id\": \"7077\",\n \"answer\": \"Alan Preece\"\n },\n {\n \"question_id\": \"7078\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7079\",\n \"answer\": \"there is no effect on short-term memory\"\n },\n {\n \"question_id\": \"7080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7081\",\n \"answer\": \"Tatterasll\"\n },\n {\n \"question_id\": \"7082\",\n \"answer\": \"mice exposed to microwave for two hours a day were less likely to develop brain tumours when given a cancer-causing chemical\"\n },\n {\n \"question_id\": \"7083\",\n \"answer\": \"William Adey\"\n },\n {\n \"question_id\": \"7084\",\n \"answer\": \"the Veterans Affairs Medical Center in California\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Luke was starting his first day of day care. He was a little nervous about meeting his new teacher and all of his new friends. When his mother dropped him off, he kissed her goodbye and sat down in the green seat that his teacher showed him. He looked around the room. There were a lot of other kids there. A baby sat in a high chair sucking on a blue pacifier. A kid about Luke's age named George was drawing and tracing his hand on paper. A little girl named Mary raised her hand and asked the teacher if she could go to the toilet. The teacher walked her into the bathroom and then returned to the class. She started helping Luke get to know the other kids in the class. A little girl named Jessica tapped Luke on the shoulder and gave him some candy. He took the pink candy from her and thanked her. Luke smiled and thought, \"I'm going to like it here.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20368\": \"What color was Luke's chair?\"\n },\n {\n \"20369\": \"Who directed him to the chair?\"\n },\n {\n \"20370\": \"This was his initial day of what?\"\n },\n {\n \"20371\": \"Was he calm to meet his instructor?\"\n },\n {\n \"20372\": \"How did he feel about it?\"\n },\n {\n \"20373\": \"Who brought him there?\"\n },\n {\n \"20374\": \"What did he give her when she left him there?\"\n },\n {\n \"20375\": \"What color were the sweets?\"\n },\n {\n \"20376\": \"What child was drawing something?\"\n },\n {\n \"20377\": \"Who raised a hand?\"\n },\n {\n \"20378\": \"Was she a big girl?\"\n },\n {\n \"20379\": \"Was she small?\"\n },\n {\n \"20380\": \"Who gave Luke sweets?\"\n },\n {\n \"20381\": \"Where did she touch Luke?\"\n },\n {\n \"20382\": \"Did he frown after taking the sweets?\"\n },\n {\n \"20383\": \"Did he seem pleased with the sweets?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20368\",\n \"answer\": \"Green\"\n },\n {\n \"question_id\": \"20369\",\n \"answer\": \"His teacher\"\n },\n {\n \"question_id\": \"20370\",\n \"answer\": \"Day care\"\n },\n {\n \"question_id\": \"20371\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20372\",\n \"answer\": \"Nervous\"\n },\n {\n \"question_id\": \"20373\",\n \"answer\": \"His mother\"\n },\n {\n \"question_id\": \"20374\",\n \"answer\": \"A kiss\"\n },\n {\n \"question_id\": \"20375\",\n \"answer\": \"Pink\"\n },\n {\n \"question_id\": \"20376\",\n \"answer\": \"George\"\n },\n {\n \"question_id\": \"20377\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"20378\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20379\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"20380\",\n \"answer\": \"Jessica\"\n },\n {\n \"question_id\": \"20381\",\n \"answer\": \"On his shoulder\"\n },\n {\n \"question_id\": \"20382\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"20383\",\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 Wi-Fi or WiFi () is a technology for wireless local area networking with devices based on the IEEE 802.11 standards. \"Wi-Fi\" is a trademark of the Wi-Fi Alliance, which restricts the use of the term \"Wi-Fi Certified\" to products that successfully complete interoperability certification testing. \n\nDevices that can use Wi-Fi technology include personal computers, video-game consoles, phones and tablets, digital cameras, smart TVs, digital audio players and modern printers. Wi-Fi compatible devices can connect to the Internet via a WLAN and a wireless access point. Such an access point (or hotspot) has a range of about indoors and a greater range outdoors. Hotspot coverage can be as small as a single room with walls that block radio waves, or as large as many square kilometres achieved by using multiple overlapping access points. \n\nWi-Fi most commonly uses the UHF and SHF ISM radio bands. Having no physical connections, it is more vulnerable to attack than wired connections, such as twisted pair. \n\nIn 1971, ALOHAnet connected the Hawaiian Islands with a UHF wireless packet network. ALOHAnet and the ALOHA protocol were early forerunners to Ethernet, and later the IEEE 802.11 protocols, respectively. \n\nA 1985 ruling by the U.S. Federal Communications Commission released the ISM band for unlicensed use. These frequency bands are the same ones used by equipment such as microwave ovens and are subject to interference.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20076\": \"What is one electronic device that can use Wi-Fi?\"\n },\n {\n \"20077\": \"And another?\"\n },\n {\n \"20078\": \"And one more?\"\n },\n {\n \"20079\": \"What is a hotspot?\"\n },\n {\n \"20080\": \"Is this the only thing a device needs to get wireless internet?\"\n },\n {\n \"20081\": \"True or False: A hotspot can cover a wider area indoors than outdoors.\"\n },\n {\n \"20082\": \"How small can a hotspot be?\"\n },\n {\n \"20083\": \"How big can hotspot coverage be if multiple points are used?\"\n },\n {\n \"20084\": \"Do you need a license to use the ISM band?\"\n },\n {\n \"20085\": \"What kitchen device uses the same band?\"\n },\n {\n \"20086\": \"What body decided to release the band for unlicensed use?\"\n },\n {\n \"20087\": \"When?\"\n },\n {\n \"20088\": \"What was ALOHAnet an ancestor of?\"\n },\n {\n \"20089\": \"What kind of protocol did the ALOHA protocol give rise to?\"\n },\n {\n \"20090\": \"What area did ALOHAnet serve?\"\n },\n {\n \"20091\": \"When?\"\n },\n {\n \"20092\": \"What kind of network did it provide?\"\n },\n {\n \"20093\": \"What is a type of wired connections?\"\n },\n {\n \"20094\": \"True or False: Twisted pair is more secure against attacks than Wi-Fi.\"\n },\n {\n \"20095\": \"Why is Wi-Fi less secure?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20076\",\n \"answer\": \"personal computers\"\n },\n {\n \"question_id\": \"20077\",\n \"answer\": \"video-game consoles\"\n },\n {\n \"question_id\": \"20078\",\n \"answer\": \"phones and tablets\"\n },\n {\n \"question_id\": \"20079\",\n \"answer\": \"an access point\"\n },\n {\n \"question_id\": \"20080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20081\",\n \"answer\": \"false\"\n },\n {\n \"question_id\": \"20082\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"20083\",\n \"answer\": \"many square kilometres\"\n },\n {\n \"question_id\": \"20084\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20085\",\n \"answer\": \"microwave ovens\"\n },\n {\n \"question_id\": \"20086\",\n \"answer\": \"U.S. Federal Communications Commission\"\n },\n {\n \"question_id\": \"20087\",\n \"answer\": \"1985\"\n },\n {\n \"question_id\": \"20088\",\n \"answer\": \"Ethernet\"\n },\n {\n \"question_id\": \"20089\",\n \"answer\": \"IEEE 802.11\"\n },\n {\n \"question_id\": \"20090\",\n \"answer\": \"the Hawaiian Islands\"\n },\n {\n \"question_id\": \"20091\",\n \"answer\": \"1971\"\n },\n {\n \"question_id\": \"20092\",\n \"answer\": \"UHF wireless packet\"\n },\n {\n \"question_id\": \"20093\",\n \"answer\": \"twisted pair.\"\n },\n {\n \"question_id\": \"20094\",\n \"answer\": \"true\"\n },\n {\n \"question_id\": \"20095\",\n \"answer\": \"it has no physical connections\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chokwe Selassie, aged 13, is working hard to help drivers avoid potholes . The eighth-grader was inspired to kick off his creation on a recent morning, when his mother was driving him to school. Their car was damaged as it went over a huge pothole in the middle of the street in their hometown of Jackson, Mississippi. He decided to do something about the pothole problem in his city. \n\nChokwe developed the app with his friends Rodriguez Ratliff and Emmanuel Brooks. When the app detects a pothole, it is highlighted in red. And if you get close to the pothole, your phone will warn you with a beep. Drivers can also use the app to report any potholes and look for other routes they can take to avoid roads that have them. \n\nThe app relies on current available information about the streets of Jackson, already stored in a database of the city's 311 call system. Through the call system, citizens dial 3-1-1 to report non-emergency problems which include potholes. Chokwe and his friends determined that focusing on the 10 busiest streets in Jackson would give them a large enough sample size to test the prototype. \n\nWhile developing the app, the boys took part in a Minority Male Makers Program sponsored by Verizon and held at Jackson State University. They learned 3D printing and design, and how to create apps. Through the program Chokwe and his friends received encouragement and guidance. \n\nAlthough the app isn't yet available for sale, Chokwe is already looking for ways to improve the app. He hopes to add more to it until it spreads all over the country.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78696\": \"What is Chokwe trying to help people do?\"\n },\n {\n \"78697\": \"How old is he?\"\n },\n {\n \"78698\": \"Whee does he live?\"\n },\n {\n \"78699\": \"Is he a student?\"\n },\n {\n \"78700\": \"Who was driving a car that got damaged?\"\n },\n {\n \"78701\": \"What did he invent to track potholes?\"\n },\n {\n \"78702\": \"Did he have any help?\"\n },\n {\n \"78703\": \"What were their first names?\"\n },\n {\n \"78704\": \"What happens when a pothole is detected?\"\n },\n {\n \"78705\": \"Will his invention tell you if you're about to hit a pothole?\"\n },\n {\n \"78706\": \"What system has the street info available for the app?\"\n },\n {\n \"78707\": \"How many streets did they use for their prototype?\"\n },\n {\n \"78708\": \"Were they very well traveled roads?\"\n },\n {\n \"78709\": \"Where did the boys learn to make apps?\"\n },\n {\n \"78710\": \"Held where?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78696\",\n \"answer\": \"help drivers avoid potholes\"\n },\n {\n \"question_id\": \"78697\",\n \"answer\": \"13,\"\n },\n {\n \"question_id\": \"78698\",\n \"answer\": \"Jackson, Mississippi\"\n },\n {\n \"question_id\": \"78699\",\n \"answer\": \"yes he's a eighth-grader\"\n },\n {\n \"question_id\": \"78700\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"78701\",\n \"answer\": \"Chokwe developed the app\"\n },\n {\n \"question_id\": \"78702\",\n \"answer\": \"his friends\"\n },\n {\n \"question_id\": \"78703\",\n \"answer\": \"Rodriguez Ratliff and Emmanuel Brooks.\"\n },\n {\n \"question_id\": \"78704\",\n \"answer\": \"it is highlighted in red.\"\n },\n {\n \"question_id\": \"78705\",\n \"answer\": \"yes, your phone will warn you with a beep\"\n },\n {\n \"question_id\": \"78706\",\n \"answer\": \"city's 311 call system\"\n },\n {\n \"question_id\": \"78707\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"78708\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78709\",\n \"answer\": \"Minority Male Makers Program sponsored by Verizon\"\n },\n {\n \"question_id\": \"78710\",\n \"answer\": \"Jackson State University.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Barack Obama has never been shy about comparing himself with Abraham Lincoln. He did so when he announced his presidential election in Illinois, where both he and Lincoln served in the legislature . \"The life of a tall, thin, self-made Springfield lawyer tells us that a different future is possible.\" Obama said. \"He tells us that there is power in words and that there is power in hope.\" Such comparisons have continued on big and small occasions, but the most important similarity, in Obama's mind, is how he plans to govern if elected. \n\nObama says he admires Doris Kearns Goodwin' s wonderful Lincoln biography, Team of Rivals. \"He talks about it all the time.\" says a top assistant. \"He is particularly interested in the idea that Lincoln successfully won the hearts of many people who had run against him for President, some of them even disagree with him firmly.\" \"The lesson is that you shouldn't let your hatred get in the way of hiring ly the best people.\" says Obama. \"I think American people are practical and so I have an interest in casting a wide net, seeking out people with a wide range of expert knowledge, including Republicans, for the highest positions in the government.\" \n\n\"I don't want to have people who just agree with me.\" He says. \"I want people who are continually pushing me forward and I'd be very interested in having those sorts of Republicans in my government, especially people who can speed up a responsible and logical conclusion to the Iraq war.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93394\": \"Which president compared himself to another?\"\n },\n {\n \"93395\": \"When did he do so?\"\n },\n {\n \"93396\": \"Which president did he compare himself to?\"\n },\n {\n \"93397\": \"Had they both served in the House of Representatives there?\"\n },\n {\n \"93398\": \"What is the similarity that means the most according to Obama?\"\n },\n {\n \"93399\": \"What shouldn't you allow to interfere with things?\"\n },\n {\n \"93400\": \"What should you do?\"\n },\n {\n \"93401\": \"Does this include both parties?\"\n },\n {\n \"93402\": \"Who does he look up to?\"\n },\n {\n \"93403\": \"Did she write a book?\"\n },\n {\n \"93404\": \"what was the title?\"\n },\n {\n \"93405\": \"Who is it about?\"\n },\n {\n \"93406\": \"How does he describe the citizens of America?\"\n },\n {\n \"93407\": \"So what does he want to do?\"\n },\n {\n \"93408\": \"To catch what?\"\n },\n {\n \"93409\": \"With what?\"\n },\n {\n \"93410\": \"And what would they be hired to fill?\"\n },\n {\n \"93411\": \"As interns and aids?\"\n },\n {\n \"93412\": \"He is most interested in people who can help achieve what?\"\n },\n {\n \"93413\": \"And how would he like that handled?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93394\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"93395\",\n \"answer\": \"when he announced his presidential election\"\n },\n {\n \"question_id\": \"93396\",\n \"answer\": \"Abraham Lincoln\"\n },\n {\n \"question_id\": \"93397\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93398\",\n \"answer\": \"how he plans to govern if elected\"\n },\n {\n \"question_id\": \"93399\",\n \"answer\": \"hatred\"\n },\n {\n \"question_id\": \"93400\",\n \"answer\": \"hire the best\"\n },\n {\n \"question_id\": \"93401\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93402\",\n \"answer\": \"Doris Kearns Goodwin\"\n },\n {\n \"question_id\": \"93403\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93404\",\n \"answer\": \"Team of Rivals\"\n },\n {\n \"question_id\": \"93405\",\n \"answer\": \"Lincoln\"\n },\n {\n \"question_id\": \"93406\",\n \"answer\": \"as practical\"\n },\n {\n \"question_id\": \"93407\",\n \"answer\": \"cast a wide net\"\n },\n {\n \"question_id\": \"93408\",\n \"answer\": \"people\"\n },\n {\n \"question_id\": \"93409\",\n \"answer\": \"expert knowledge\"\n },\n {\n \"question_id\": \"93410\",\n \"answer\": \"government positions\"\n },\n {\n \"question_id\": \"93411\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93412\",\n \"answer\": \"an end to the Iraq War.\"\n },\n {\n \"question_id\": \"93413\",\n \"answer\": \"logically\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mosaic has a long history, starting in Mesopotamia in the 3rd millennium BC. Pebble mosaics were made in Tiryns in Mycenean Greece; mosaics with patterns and pictures became widespread in classical times, both in Ancient Greece and Ancient Rome. Early Christian basilicas from the 4th century onwards were decorated with wall and ceiling mosaics. Mosaic art flourished in the Byzantine Empire from the 6th to the 15th centuries; that tradition was adopted by the Norman kingdom in Sicily in the 12th century, by eastern-influenced Venice, and among the Rus in Ukraine. Mosaic fell out of fashion in the Renaissance, though artists like Raphael continued to practise the old technique. Roman and Byzantine influence led Jews to decorate 5th and 6th century synagogues in the Middle East with floor mosaics. \n\nBronze age pebble mosaics have been found at Tiryns; mosaics of the 4th century BC are found in the Macedonian palace-city of Aegae, and the 4th-century BC mosaic of The Beauty of Durrës discovered in Durrës, Albania in 1916, is an early figural example; the Greek figural style was mostly formed in the 3rd century BC. Mythological subjects, or scenes of hunting or other pursuits of the wealthy, were popular as the centrepieces of a larger geometric design, with strongly emphasized borders. Pliny the Elder mentions the artist Sosus of Pergamon by name, describing his mosaics of the food left on a floor after a feast and of a group of doves drinking from a bowl. Both of these themes were widely copied.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27912\": \"What is the starting date of Mosaic?\"\n },\n {\n \"27913\": \"Where did it start?\"\n },\n {\n \"27914\": \"Where have Bronze age pebble mosaics been located?\"\n },\n {\n \"27915\": \"In what part of Greece were Pebble Mosaics made?\"\n },\n {\n \"27916\": \"During what period did mosaic art flourish?\"\n },\n {\n \"27917\": \"And what was the period's name?\"\n },\n {\n \"27918\": \"What was the period between 6th to the 15th century named?\"\n },\n {\n \"27919\": \"In which century were mosaics found in Macedonia ?\"\n },\n {\n \"27920\": \"In what city?\"\n },\n {\n \"27921\": \"At what location?\"\n },\n {\n \"27922\": \"What was found in Durres?\"\n },\n {\n \"27923\": \"When?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27912\",\n \"answer\": \"the 3rd millennium BC.\"\n },\n {\n \"question_id\": \"27913\",\n \"answer\": \"Mesopotamia\"\n },\n {\n \"question_id\": \"27914\",\n \"answer\": \"in Tiryns\"\n },\n {\n \"question_id\": \"27915\",\n \"answer\": \"Mycenean\"\n },\n {\n \"question_id\": \"27916\",\n \"answer\": \"the 6th to the 15th centuries\"\n },\n {\n \"question_id\": \"27917\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"27918\",\n \"answer\": \"during the Byzantine Empire\"\n },\n {\n \"question_id\": \"27919\",\n \"answer\": \"4th century BC\"\n },\n {\n \"question_id\": \"27920\",\n \"answer\": \"Aegae\"\n },\n {\n \"question_id\": \"27921\",\n \"answer\": \"in the palace-city\"\n },\n {\n \"question_id\": \"27922\",\n \"answer\": \"The Beauty of Durr\\u00ebs\"\n },\n {\n \"question_id\": \"27923\",\n \"answer\": \"4th-century BC\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nDAYS OF WAITING \n\nEight o'clock that evening saw the three Rovers on their way to Hope Seminary. Tom was the leader, and it had taken a good half hour's arguing on his part to get Dick and Sam to accompany him. \n\n\"You'll make a fool of yourself, and make fools of us, too,\" was the way Sam expressed himself. \n\n\"Most likely they won't want to see us,\" was Dick's opinion. \n\n\"If they don't want to see us, really and truly, I want to know it,\" answered Tom bluntly. \"I don't believe in this dodging around the bush. There is no sense in it.\" It had angered him to think Nellie had been seen in the company of Flockley and his cronies, and he was for \"having it out\" without delay. \n\n\"Well, you'll have to lead the way,\" said Dick. \"I'm not going to make a call and have Dora send down word that she can't see me.\" \n\n\"She won't do that,\" said Tom. \"I know her too well.\" \n\n\"Well, you call on Nellie first.\" \n\n\"I'm not afraid,\" retorted Tom. He was so \"worked up\" he was willing to do almost anything. \n\nThe nearer the three students got to the seminary the slower they walked. Even Tom began to realize that he had undertaken what might prove a very delicate mission. \n\n\"I think it would have been better to have sent a letter,\" suggested Sam. \"Let's go back and write it before we go to bed.\" \n\n\"And put down something in black and white that you'd be sorry for afterward,\" grumbled Dick. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63960\": \"At what time did the Rovers start on their way to Hope Semianry?\"\n },\n {\n \"63961\": \"Did they walk faster as they neared the Seminary?\"\n },\n {\n \"63962\": \"What did Sam think Tom would make out of them?\"\n },\n {\n \"63963\": \"What angered Tom to think of Nellie?\"\n },\n {\n \"63964\": \"What did Tom realize about what they had undertaken?\"\n },\n {\n \"63965\": \"What did Sam suggest they do instead?\"\n },\n {\n \"63966\": \"Did they think it possible they wouldn't want to be seen?\"\n },\n {\n \"63967\": \"Why was it thought that writting a letter could be a bad idea?\"\n },\n {\n \"63968\": \"Did someone think that they could write something they would be sorry about after?\"\n },\n {\n \"63969\": \"What did Tom claim about his level of fright aboubt the situation?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63960\",\n \"answer\": \"Eight o'clock\"\n },\n {\n \"question_id\": \"63961\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63962\",\n \"answer\": \"fools\"\n },\n {\n \"question_id\": \"63963\",\n \"answer\": \"in the company of Flockley\"\n },\n {\n \"question_id\": \"63964\",\n \"answer\": \"It might prove a very delicate mission\"\n },\n {\n \"question_id\": \"63965\",\n \"answer\": \"go back and write a letter\"\n },\n {\n \"question_id\": \"63966\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63967\",\n \"answer\": \"Tom didn't believe in dodging around the bush\"\n },\n {\n \"question_id\": \"63968\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63969\",\n \"answer\": \"I'm not afraid\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nNuma \"El Adrea\" \n\nOn the same day that Kadour ben Saden rode south the diligence from the north brought Tarzan a letter from D'Arnot which had been forwarded from Sidi-bel-Abbes. It opened the old wound that Tarzan would have been glad to have forgotten; yet he was not sorry that D'Arnot had written, for one at least of his subjects could never cease to interest the ape-man. Here is the letter: \n\nMY DEAR JEAN: \n\nSince last I wrote you I have been across to London on a matter of business. I was there but three days. The very first day I came upon an old friend of yours--quite unexpectedly--in Henrietta Street. Now you never in the world would guess whom. None other than Mr. Samuel T. Philander. But it is true. I can see your look of incredulity. Nor is this all. He insisted that I return to the hotel with him, and there I found the others--Professor Archimedes Q. Porter, Miss Porter, and that enormous black woman, Miss Porter's maid--Esmeralda, you will recall. While I was there Clayton came in. They are to be married soon, or rather sooner, for I rather suspect that we shall receive announcements almost any day. On account of his father's death it is to be a very quiet affair--only blood relatives. \n\nWhile I was alone with Mr. Philander the old fellow became rather confidential. Said Miss Porter had already postponed the wedding on three different occasions. He confided that it appeared to him that she was not particularly anxious to marry Clayton at all; but this time it seems that it is quite likely to go through. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14233\": \"who brought a letter?\"\n },\n {\n \"14234\": \"who was it for?\"\n },\n {\n \"14235\": \"who had written him?\"\n },\n {\n \"14236\": \"was he sorry?\"\n },\n {\n \"14237\": \"could they interest somene?\"\n },\n {\n \"14238\": \"who was interested?\"\n },\n {\n \"14239\": \"who was it titled to?\"\n },\n {\n \"14240\": \"where did they travel too?\"\n },\n {\n \"14241\": \"who was ran into?\"\n },\n {\n \"14242\": \"what race was the maid?\"\n },\n {\n \"14243\": \"what was the old friends name?\"\n },\n {\n \"14244\": \"whos father died?\"\n },\n {\n \"14245\": \"who was to be wed?\"\n },\n {\n \"14246\": \"who was invited to the wedding?\"\n },\n {\n \"14247\": \"who was he alone with?\"\n },\n {\n \"14248\": \"was he open during that time?\"\n },\n {\n \"14249\": \"was the wedding post poned?\"\n },\n {\n \"14250\": \"by who?\"\n },\n {\n \"14251\": \"how many times?\"\n },\n {\n \"14252\": \"did it appear she wanted to be wed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14233\",\n \"answer\": \"Kadour ben Saden\"\n },\n {\n \"question_id\": \"14234\",\n \"answer\": \"Tarzan\"\n },\n {\n \"question_id\": \"14235\",\n \"answer\": \"D'Arnot\"\n },\n {\n \"question_id\": \"14236\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14237\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14238\",\n \"answer\": \"ape-man\"\n },\n {\n \"question_id\": \"14239\",\n \"answer\": \"JEAN\"\n },\n {\n \"question_id\": \"14240\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"14241\",\n \"answer\": \"old friend\"\n },\n {\n \"question_id\": \"14242\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"14243\",\n \"answer\": \"Mr. Samuel T.\"\n },\n {\n \"question_id\": \"14244\",\n \"answer\": \"Clayton\"\n },\n {\n \"question_id\": \"14245\",\n \"answer\": \"Professor Archimedes Q. Porter, Miss Porter,\"\n },\n {\n \"question_id\": \"14246\",\n \"answer\": \"only blood relatives\"\n },\n {\n \"question_id\": \"14247\",\n \"answer\": \"Mr. Philander\"\n },\n {\n \"question_id\": \"14248\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14249\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14250\",\n \"answer\": \"Miss Porter\"\n },\n {\n \"question_id\": \"14251\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"14252\",\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 A few years ago, Paul Gerner began to gather a group of architects in Las Vegas to ask them what it would take to design a public school that used 50 percent less energy, cost much less to build and obviously improved student learning. \"I think half of them fell off their chairs,\" Gerner says. \n\nGerner manages school facilities for Clark County, Nevada, a district roughly the size of Massachusetts. By 2018, 143,000 additional students will enter the already crowded public-education system. Gerner needs 73 new schools to house them. Four architecture teams have nearly finished designing primary school prototypes ; they plan to construct their schools starting in 2009. The district will then assess how well the schools perform, and three winners will copy those designs in 50 to 70 new buildings. \n\nGreen schools are appearing all over, but in Clark County, which stands out for its vastness, such aggressive targets are difficult because design requirements like more natural light for students go against the realities of a desert climate. \"One of the biggest challenges is getting the right site orientation ,\" Mark. McGinty, a director at SH Architecture, says. His firm recently completed a high school in Las Vegas. \"You have the same building, same set of windows, but if its orientation is incorrect and it faces the sun, it will be really expensive to cool.\" \n\nSurprisingly, the man responsible for one of re most progressive green-design competitions has doubts about ideas of eco-friendly buildings. \"I don't believe in the new green religion,\" Gerner says. \"Some of the building technologies that you get are impractical. I'm interested in those that work.\" But he wouldn't mind if some green features inspire students. He says he hopes to set up green energy systems that allow them to learn about the process of harvesting wind and solar power. \"You never know what's going to start the interest of a child to study math and science,\" he says.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6720\": \"WHat new type of school design is being explored?\"\n },\n {\n \"6721\": \"Where are they being tried?\"\n },\n {\n \"6722\": \"Is location causing a problem for this type anywhere?\"\n },\n {\n \"6723\": \"Where?\"\n },\n {\n \"6724\": \"Why is it a problem there?\"\n },\n {\n \"6725\": \"What is a benefit of the new school type?\"\n },\n {\n \"6726\": \"Who asked for school designs featuring energy savings and cheaper building plans?\"\n },\n {\n \"6727\": \"Did his specifications surprise anyone?\"\n },\n {\n \"6728\": \"How many schools does he need to build?\"\n },\n {\n \"6729\": \"How many new pupils will be coming into the school system?\"\n },\n {\n \"6730\": \"Whay can't they squeeze into the current buildings?\"\n },\n {\n \"6731\": \"Are all of the new schools built already?\"\n },\n {\n \"6732\": \"How many are done then?\"\n },\n {\n \"6733\": \"How many teams are currently working on designs?\"\n },\n {\n \"6734\": \"How many will have their designs used for other schools?\"\n },\n {\n \"6735\": \"Is everyone a hug fan of the new ecological based building philosophy?\"\n },\n {\n \"6736\": \"Who has doubts?\"\n },\n {\n \"6737\": \"WHay?\"\n },\n {\n \"6738\": \"Does he think there is anything good about the trend?\"\n },\n {\n \"6739\": \"What subjects in particular?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"6720\",\n \"answer\": \"Green schools\"\n },\n {\n \"question_id\": \"6721\",\n \"answer\": \"all over\"\n },\n {\n \"question_id\": \"6722\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6723\",\n \"answer\": \"Clark County\"\n },\n {\n \"question_id\": \"6724\",\n \"answer\": \"desert climate\"\n },\n {\n \"question_id\": \"6725\",\n \"answer\": \"teaching students about the process of harvesting wind and solar power.\"\n },\n {\n \"question_id\": \"6726\",\n \"answer\": \"Paul Gerner\"\n },\n {\n \"question_id\": \"6727\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6728\",\n \"answer\": \"73\"\n },\n {\n \"question_id\": \"6729\",\n \"answer\": \"143,000\"\n },\n {\n \"question_id\": \"6730\",\n \"answer\": \"they are already crowded\"\n },\n {\n \"question_id\": \"6731\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6732\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"6733\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"6734\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"6735\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6736\",\n \"answer\": \"Gerner\"\n },\n {\n \"question_id\": \"6737\",\n \"answer\": \"Some of the building technologies are impractical.\"\n },\n {\n \"question_id\": \"6738\",\n \"answer\": \"Some green features might inspire students.\"\n },\n {\n \"question_id\": \"6739\",\n \"answer\": \"math and science\"\n }\n]\n"
}
] |
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