Split (2)

train · 6.16k rows

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 Do you know who is the most popular star on the Internet now? Yes, he is \"Brother Coat\" Zhu Zhiwen! A few months ago, Zhu Zhiwen was an unknown farmer. A video of his show has been watched by more than millions of people,now his videos are the most popular. Zhu Zhiwen attracts Chinese netizens' hearts. And he is called \"Brother Coat\" by them. In March 2011, he took part in a program called \"I'm a Big Star\". He walked out onto the stage in a dark green coat. Then he began to sing the song of the TV drama Romance of Three Kingdoms. When the audiences heard rich and powerful voice,all of them stood up and cheered. After that, he became a well-known person. The judges asked him if he had any professional training. Zhu said no. \"When he started, I thought someone played the original tape by mistake. But later on, I got it, \" said one of them, \"we can't _ .\" At last, he won the first prize in the program of \"I'm a Big Star\". Zhu Zhiwen was born in a village of Shandong in 1969. He liked listening to the radio. When the music played, he sang it along. Every morning, he would get up early and practiced singing near a river. He keeps doing it for nearly 30 years. \"When I'm working in the fields, \"said Zhu Zhiwen, \"I often sing for myself, some villagers even think me crazy,but I really love it. I'm not singing for money, I'm singing for ordinary people in China.\" Mrs. Sun, a 56-year-old engineer, one of his fans said, \"I watched his videos without getting tired of it! It is so amazing, and every time I watch it, I am filled with excitement and his voice is perfect! I am crossing my fingers in hope that he has a bright future.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52300\": \"who is called brother coat?\"\n },\n {\n \"52301\": \"when was he born?\"\n },\n {\n \"52302\": \"in what village?\"\n },\n {\n \"52303\": \"what does he do for a living?\"\n },\n {\n \"52304\": \"is he popular now?\"\n },\n {\n \"52305\": \"where is he popular?\"\n },\n {\n \"52306\": \"what medium is he a star of?\"\n },\n {\n \"52307\": \"is he popular on the internet?\"\n },\n {\n \"52308\": \"what does he like to listen to?\"\n },\n {\n \"52309\": \"what did he do when music played?\"\n },\n {\n \"52310\": \"where would he practice?\"\n },\n {\n \"52311\": \"what color was his coat?\"\n },\n {\n \"52312\": \"what TV program did he appear on?\"\n },\n {\n \"52313\": \"which drama did he sing the songs of ?\"\n },\n {\n \"52314\": \"how is his voice?\"\n },\n {\n \"52315\": \"was he well known after?\"\n },\n {\n \"52316\": \"who won first prize on the show?\"\n },\n {\n \"52317\": \"does he do it for the money?\"\n },\n {\n \"52318\": \"who is one of his fans?\"\n },\n {\n \"52319\": \"how old is Mr. Sun?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52300\",\n \"answer\": \"Zhu Zhiwen\"\n },\n {\n \"question_id\": \"52301\",\n \"answer\": \"1969\"\n },\n {\n \"question_id\": \"52302\",\n \"answer\": \"Shandong\"\n },\n {\n \"question_id\": \"52303\",\n \"answer\": \"He is a farmer.\"\n },\n {\n \"question_id\": \"52304\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52305\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"52306\",\n \"answer\": \"videos\"\n },\n {\n \"question_id\": \"52307\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52308\",\n \"answer\": \"the radio\"\n },\n {\n \"question_id\": \"52309\",\n \"answer\": \"sang along\"\n },\n {\n \"question_id\": \"52310\",\n \"answer\": \"near a river\"\n },\n {\n \"question_id\": \"52311\",\n \"answer\": \"dark green\"\n },\n {\n \"question_id\": \"52312\",\n \"answer\": \"\\\"I'm a Big Star\\\"\"\n },\n {\n \"question_id\": \"52313\",\n \"answer\": \"Romance of Three Kingdoms\"\n },\n {\n \"question_id\": \"52314\",\n \"answer\": \"rich and powerful\"\n },\n {\n \"question_id\": \"52315\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52316\",\n \"answer\": \"Zhu\"\n },\n {\n \"question_id\": \"52317\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52318\",\n \"answer\": \"Mrs. Sun\"\n },\n {\n \"question_id\": \"52319\",\n \"answer\": \"56\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Satirical TV anchorman Stephen Colbert may not have a dog in this fight, but his name alone may have helped a Pomeranian-Chihuahua mix puppy beat a 6-year-old Cavalier King Charles spaniel. \n\nStephen Colbert el dos rips the prize away from Mozart in the weekly competition. \n\nIn the online doggie beauty pageant, the canine Steven Colbert el dos won the latest weekly semifinal, which enables him to compete for a $1 million grand prize. \n\nColbert el dos from Georgia beat Mozart, or MoMo as he's known to his family and friends in New Orleans, Louisiana, to win cutest dog of the week. \n\n\"While it certainly would have been a lot of fun for MoMo to win this past week, we're excited for Stephen Colbert el dos and his owners. What a fun and entertaining ride it's been so far.\" said piano teacher Cara McCool, MoMo's owner. \n\n\"We're just happy for the attention this has brought to our charities as well as others supported by so many cute dogs in this competition,\" McCool said. \n\nHer charities included: Redeemer Presbyterian Disaster Relief, Desire Street Ministries, Louisiana Teachers Save Our Students fund, Cavalier Rescue USA, Musical Arts Society of New Orleans, the Louisiana SPCA, and Teach for America. \n\nColbert el dos' winnings are pledged to attract a stork to his owners' house. The owners, Bryan and his wife, Allyson, are newlyweds and are hoping to use the prize money for in vitro fertilization treatments to start a family. Colbert el dos' owners asked not to have their last names published to protect their privacy. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28701\": \"What does Colbert do for a living?\"\n },\n {\n \"28702\": \"Does he have a dog in the fight?\"\n },\n {\n \"28703\": \"How old was the spaniel?\"\n },\n {\n \"28704\": \"Was McCool happy about something?\"\n },\n {\n \"28705\": \"Would it have been fun for MoMo to win?\"\n },\n {\n \"28706\": \"Who did Celbert el Dos beat?\"\n },\n {\n \"28707\": \"Was Colbert el dos from the country Georgia?\"\n },\n {\n \"28708\": \"Who has a charity named Teach for America?\"\n },\n {\n \"28709\": \"What type of bird did Colbert's winnings attract?\"\n },\n {\n \"28710\": \"Who is Bryan's wife?\"\n },\n {\n \"28711\": \"Where did the beauty pageant take place?\"\n },\n {\n \"28712\": \"Was it more frequent than yearly?\"\n },\n {\n \"28713\": \"What kind of ride has it been so far?\"\n },\n {\n \"28714\": \"What does Cara do for a living?\"\n },\n {\n \"28715\": \"Does she own a horse?\"\n },\n {\n \"28716\": \"What type of mix is the puppy Colbert?\"\n },\n {\n \"28717\": \"What do Allyson and Bryan want to start?\"\n },\n {\n \"28718\": \"Were there a lot of cute dogs in the competition?\"\n },\n {\n \"28719\": \"How much was the grand prize worth?\"\n },\n {\n \"28720\": \"Did Colbert's owners want their names put out on social media?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"28701\",\n \"answer\": \"Satirical TV anchorman\"\n },\n {\n \"question_id\": \"28702\",\n \"answer\": \"maybe not\"\n },\n {\n \"question_id\": \"28703\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"28704\",\n \"answer\": \"happy for the attention\"\n },\n {\n \"question_id\": \"28705\",\n \"answer\": \"to win the cutest dog of the week.\"\n },\n {\n \"question_id\": \"28706\",\n \"answer\": \"Mozart\"\n },\n {\n \"question_id\": \"28707\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28708\",\n \"answer\": \"McCool\"\n },\n {\n \"question_id\": \"28709\",\n \"answer\": \"stork\"\n },\n {\n \"question_id\": \"28710\",\n \"answer\": \"Allyson\"\n },\n {\n \"question_id\": \"28711\",\n \"answer\": \"online\"\n },\n {\n \"question_id\": \"28712\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28713\",\n \"answer\": \"fun and entertaining\"\n },\n {\n \"question_id\": \"28714\",\n \"answer\": \"she is a piano teacher\"\n },\n {\n \"question_id\": \"28715\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"28716\",\n \"answer\": \"Pomeranian-Chihuahua\"\n },\n {\n \"question_id\": \"28717\",\n \"answer\": \"a family\"\n },\n {\n \"question_id\": \"28718\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28719\",\n \"answer\": \"1 million\"\n },\n {\n \"question_id\": \"28720\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jim rode his bike quickly. It was Friday and he wanted to get to the lake. The path to the lake was long and winding. It was wetter on Tuesday. Jim had to wash his boot. His boot had once been frozen. It was frozen because he left it outside on Sunday. He had to leave his boot outside for a long time. The lake was facing the tree. Jim had to go home. He wanted food very badly. Jim went home. He got inside and looked up at the ceiling. He walked to the refrigerator. Jim took the yogurt out of the refrigerator. Some milk was on the table and he grabbed a cup so he could pour himself some of the milk. Jim also had a candy bar. Jim sat down and rested. He was tired from the long bike ride. He finished his yogurt and began planning his next trip to the lake. It would not be long before he returned. He and his boots were ready for more fun outdoors Monday.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92890\": \"Who was riding his bike?\"\n },\n {\n \"92891\": \"What day was it?\"\n },\n {\n \"92892\": \"Hwere did he want to go?\"\n },\n {\n \"92893\": \"Was the path long and winding?\"\n },\n {\n \"92894\": \"What did he have to wash?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92890\",\n \"answer\": \"Jim\"\n },\n {\n \"question_id\": \"92891\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"92892\",\n \"answer\": \"to the lake.\"\n },\n {\n \"question_id\": \"92893\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92894\",\n \"answer\": \"his boot\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXIV \n\nThe lamps were lit; their luster reflected itself in the polished wood; good wine was passed round the dinner-table; before the meal was far advanced civilization had triumphed, and Mr. Hilbery presided over a feast which came to wear more and more surely an aspect, cheerful, dignified, promising well for the future. To judge from the expression in Katharine's eyes it promised something--but he checked the approach sentimentality. He poured out wine; he bade Denham help himself. \n\nThey went upstairs and he saw Katharine and Denham abstract themselves directly Cassandra had asked whether she might not play him something--some Mozart? some Beethoven? She sat down to the piano; the door closed softly behind them. His eyes rested on the closed door for some seconds unwaveringly, but, by degrees, the look of expectation died out of them, and, with a sigh, he listened to the music. \n\nKatharine and Ralph were agreed with scarcely a word of discussion as to what they wished to do, and in a moment she joined him in the hall dressed for walking. The night was still and moonlit, fit for walking, though any night would have seemed so to them, desiring more than anything movement, freedom from scrutiny, silence, and the open air. \n\n\"At last!\" she breathed, as the front door shut. She told him how she had waited, fidgeted, thought he was never coming, listened for the sound of doors, half expected to see him again under the lamp-post, looking at the house. They turned and looked at the serene front with its gold-rimmed windows, to him the shrine of so much adoration. In spite of her laugh and the little pressure of mockery on his arm, he would not resign his belief, but with her hand resting there, her voice quickened and mysteriously moving in his ears, he had not time--they had not the same inclination--other objects drew his attention. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78368\": \"who offered to play the piano?\"\n },\n {\n \"78369\": \"what did she offer to play?\"\n },\n {\n \"78370\": \"anything else?\"\n },\n {\n \"78371\": \"what was Katherine dressed for?\"\n },\n {\n \"78372\": \"who did she go with?\"\n },\n {\n \"78373\": \"was it a pleasant evening?\"\n },\n {\n \"78374\": \"was there moonlight?\"\n },\n {\n \"78375\": \"was it windy?\"\n },\n {\n \"78376\": \"did they go out the backdoor?\"\n },\n {\n \"78377\": \"was she worried that he wouldn't come?\"\n },\n {\n \"78378\": \"Who hosted the dinner?\"\n },\n {\n \"78379\": \"did he serve wine?\"\n },\n {\n \"78380\": \"was the dinner pleasant?\"\n },\n {\n \"78381\": \"Did Katherine and Ralph debate about their plans to walk ?\"\n },\n {\n \"78382\": \"what were they looking for by going outside?\"\n },\n {\n \"78383\": \"Can you tell me any details about the house they had left?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78368\",\n \"answer\": \"Cassandra\"\n },\n {\n \"question_id\": \"78369\",\n \"answer\": \"Mozart\"\n },\n {\n \"question_id\": \"78370\",\n \"answer\": \"Beethoven\"\n },\n {\n \"question_id\": \"78371\",\n \"answer\": \"walking\"\n },\n {\n \"question_id\": \"78372\",\n \"answer\": \"Ralph\"\n },\n {\n \"question_id\": \"78373\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78374\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78375\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78376\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78377\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78378\",\n \"answer\": \"Mr. Hilbery\"\n },\n {\n \"question_id\": \"78379\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78380\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78381\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78382\",\n \"answer\": \"movement, freedom from scrutiny, silence, and the open air.\"\n },\n {\n \"question_id\": \"78383\",\n \"answer\": \"gold-rimmed windows\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n MEXICO CITY, Mexico (CNN) -- The police chief in Cancún has been relieved of his duties and placed under house arrest while he is investigated in the killing of a retired Mexican general who had been the area's anti-drug chief for less than 24 hours, Mexican media are reporting. \n\nA Mexican soldier guards the entrance at a Cancún police station where the military is investigating a murder. \n\nFrancisco Velasco Delgado was detained by military officials early Monday and flown to Mexico City, where he was placed under 45 days of house arrest, according to the media reports. \n\nWith Delgado's removal, the military has taken over the Cancún police force, several newspapers reported. \n\nCancún Mayor Gregorio Sanchez Martinez said the move was made \"to facilitate all types of investigations into the triple murder that happened last week,\" the Diario de Yucatan newspaper said. \n\nSalvador Rocha Vargas, the secretary for public security for the state of Quintana Roo, will lead the police force. He said he will take all the pertinent measures \"to clean up the Cancún police,\" the Excelsior newspaper reported Tuesday. \n\nRetired Gen. Mauro Enrique Tello Quinonez's bullet-riddled body was found a week ago on a road outside Cancún. Authorities said he had been tortured before being shot 11 times. \n\nHis aide and a driver also were tortured and killed. \n\nQuintana Roo state prosecutor Bello Melchor Rodriguez y Carrillo said last week there was no doubt Tello and the others were victims of organized crime. \n\n\"The general was the most mistreated,\" Rodriguez y Carrillo said at a news conference. \"He had burns on his skin and bones in his hands and wrists were broken.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33193\": \"Why was the police chief removed from his position?\"\n },\n {\n \"33194\": \"Who is the general?\"\n },\n {\n \"33195\": \"What did he do?\"\n },\n {\n \"33196\": \"Is the government investigating the murder?\"\n },\n {\n \"33197\": \"How many times was the general shot?\"\n },\n {\n \"33198\": \"Who is the prosecutor?\"\n },\n {\n \"33199\": \"Did he think the police chief is part of the mob?\"\n },\n {\n \"33200\": \"Who is in charge of Canc\\u00fan's police force now?\"\n },\n {\n \"33201\": \"Who is in charge of the police force?\"\n },\n {\n \"33202\": \"What person is in charge now?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33193\",\n \"answer\": \"he is investigated in the killing of a retired Mexican general\"\n },\n {\n \"question_id\": \"33194\",\n \"answer\": \"Mauro Enrique Tello Quinonez\"\n },\n {\n \"question_id\": \"33195\",\n \"answer\": \"MEXICO CITY, Mexico (CNN) -- The police chief in Canc\\u00fan has been relieved of his duties and placed under house arrest while he is investigated in the killing of a retired Mexican general who had been the area's anti-drug chief for less than 24 hours, Mexican media are reporting.\"\n },\n {\n \"question_id\": \"33196\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33197\",\n \"answer\": \"11 times.\"\n },\n {\n \"question_id\": \"33198\",\n \"answer\": \"Bello Melchor Rodriguez y Carrillo\"\n },\n {\n \"question_id\": \"33199\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33200\",\n \"answer\": \"the military\"\n },\n {\n \"question_id\": \"33201\",\n \"answer\": \"the military\"\n },\n {\n \"question_id\": \"33202\",\n \"answer\": \"Salvador Rocha Vargas\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Roman Britain ( or, later, \"\", \"the Britains\") was the area of the island of Great Britain that was governed by the Roman Empire, from 43 to 410 AD. \n\nJulius Caesar invaded Britain in 55 and 54 BC as part of his Gallic Wars. The Britons had been overrun or culturally assimilated by other Celtic tribes during the British Iron Age and had been aiding Caesar's enemies. He received tribute, installed a friendly king over the Trinovantes, and returned to Gaul. Planned invasions under Augustus were called off in 34, 27, and 25 BC. In 40 AD, Caligula assembled 200,000 men at the Channel, only to have them gather seashells. Three years later, Claudius directed four legions to invade Britain and restore an exiled king over the Atrebates. The Romans defeated the Catuvellauni, and then organized their conquests as the Province of Britain (). By the year 47, the Romans held the lands southeast of the Fosse Way. Control over Wales was delayed by reverses and the effects of Boudica's uprising, but the Romans expanded steadily northward. \n\nUnder the 2nd century emperors Hadrian and Antoninus Pius, two walls were built to defend the Roman province from the Caledonians, whose realms in the Scottish Highlands were never directly controlled. Around 197, the Severan Reforms divided Britain into two provinces: Britannia Superior and Britannia Inferior. During the Diocletian Reforms, at the end of the 3rd century, Britannia was divided into four provinces under the direction of a vicarius, who administered the . A fifth province, Valentia, is attested in the later 4th century. For much of the later period of the Roman occupation, Britannia was subject to barbarian invasions and often came under the control of imperial usurpers and imperial pretenders. The final Roman withdrawal from Britain occurred around 410; the native kingdoms are considered to have formed Sub-Roman Britain after that.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2180\": \"What did Caesar invade?\"\n },\n {\n \"2181\": \"when?\"\n },\n {\n \"2182\": \"In what war?\"\n },\n {\n \"2183\": \"Did he receive tribute?\"\n },\n {\n \"2184\": \"Who else planned invasions?\"\n },\n {\n \"2185\": \"Anyone else?\"\n },\n {\n \"2186\": \"When did Augustus plan to invade?\"\n },\n {\n \"2187\": \"What were the people there called?\"\n },\n {\n \"2188\": \"When did Caligula try to invade?\"\n },\n {\n \"2189\": \"Cladius?\"\n },\n {\n \"2190\": \"Did the Romans defeat the Catuvellauni?\"\n },\n {\n \"2191\": \"What did they do next?\"\n },\n {\n \"2192\": \"How many walls were built?\"\n },\n {\n \"2193\": \"Under who?\"\n },\n {\n \"2194\": \"When?\"\n },\n {\n \"2195\": \"To keep who out?\"\n },\n {\n \"2196\": \"When was the Severan Reforms?\"\n },\n {\n \"2197\": \"When were the Diocletian Reforms?\"\n },\n {\n \"2198\": \"How many provinces did it make?\"\n },\n {\n \"2199\": \"When did the Roman force withdraw?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2180\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"2181\",\n \"answer\": \"55 and 54 BV\"\n },\n {\n \"question_id\": \"2182\",\n \"answer\": \"Gallic Wars\"\n },\n {\n \"question_id\": \"2183\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2184\",\n \"answer\": \"ICaligula\"\n },\n {\n \"question_id\": \"2185\",\n \"answer\": \"Claudius\"\n },\n {\n \"question_id\": \"2186\",\n \"answer\": \"34,27 and 25 BC\"\n },\n {\n \"question_id\": \"2187\",\n \"answer\": \"Catuvellauni\"\n },\n {\n \"question_id\": \"2188\",\n \"answer\": \".40 AD\"\n },\n {\n \"question_id\": \"2189\",\n \"answer\": \"37 AD\"\n },\n {\n \"question_id\": \"2190\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2191\",\n \"answer\": \"organized the conquests as Province of Britain\"\n },\n {\n \"question_id\": \"2192\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"2193\",\n \"answer\": \"Hadrian and Antoninus Pius\"\n },\n {\n \"question_id\": \"2194\",\n \"answer\": \"2nd century\"\n },\n {\n \"question_id\": \"2195\",\n \"answer\": \"the Caledonians\"\n },\n {\n \"question_id\": \"2196\",\n \"answer\": \"197\"\n },\n {\n \"question_id\": \"2197\",\n \"answer\": \"third century\"\n },\n {\n \"question_id\": \"2198\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"2199\",\n \"answer\": \"410\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Before the 20th century, the term matter included ordinary matter composed of atoms and excluded other energy phenomena such as light or sound. This concept of matter may be generalized from atoms to include any objects having mass even when at rest, but this is ill-defined because an object's mass can arise from its (possibly massless) constituents' motion and interaction energies. Thus, matter does not have a universal definition, nor is it a fundamental concept in physics today. Matter is also used loosely as a general term for the substance that makes up all observable physical objects. \n\nAll the objects from everyday life that we can bump into, touch or squeeze are composed of atoms. This atomic matter is in turn made up of interacting subatomic particles—usually a nucleus of protons and neutrons, and a cloud of orbiting electrons. Typically, science considers these composite particles matter because they have both rest mass and volume. By contrast, massless particles, such as photons, are not considered matter, because they have neither rest mass nor volume. However, not all particles with rest mass have a classical volume, since fundamental particles such as quarks and leptons (sometimes equated with matter) are considered \"point particles\" with no effective size or volume. Nevertheless, quarks and leptons together make up \"ordinary matter\", and their interactions contribute to the effective volume of the composite particles that make up ordinary matter.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6316\": \"What did the term matter include prior to the 20th century?\"\n },\n {\n \"6317\": \"And excluded?\"\n },\n {\n \"6318\": \"What does science consider these particles to be?\"\n },\n {\n \"6319\": \"What is a type of massless particle?\"\n },\n {\n \"6320\": \"Is it matter?\"\n },\n {\n \"6321\": \"What is one example of fundamental particles?\"\n },\n {\n \"6322\": \"What's another?\"\n },\n {\n \"6323\": \"What are they considered?\"\n },\n {\n \"6324\": \"What is the term matter loosely used to refer to?\"\n },\n {\n \"6325\": \"What is the effective size of point particles?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6316\",\n \"answer\": \"ordinary matter composed of atoms\"\n },\n {\n \"question_id\": \"6317\",\n \"answer\": \"other energy phenomena\"\n },\n {\n \"question_id\": \"6318\",\n \"answer\": \"massless particles\"\n },\n {\n \"question_id\": \"6319\",\n \"answer\": \"photons\"\n },\n {\n \"question_id\": \"6320\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6321\",\n \"answer\": \"leptons\"\n },\n {\n \"question_id\": \"6322\",\n \"answer\": \"quarks\"\n },\n {\n \"question_id\": \"6323\",\n \"answer\": \"they are considered \\\"point particles\\\"\"\n },\n {\n \"question_id\": \"6324\",\n \"answer\": \"composite particles\"\n },\n {\n \"question_id\": \"6325\",\n \"answer\": \"no size or volume.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 schoolboy, who has been unable to play sports, has found the perfect entertainment--snowboarding. Thomas Pettigrew is enjoying himself by performing difficult actions at freestyle events. \n\nThe youngster can't join in PE lessons at school, because he suffers from a rare condition, which means his body dangerously overheats. This makes it difficult for his body to cool down naturally. But the ice-cool temperatures on the mountains mean Thomas can slide down the slopes freely. \n\nHis father Richard came up with the idea of taking Thomas snowboarding in March, 2010. Now while other children look forward to playing outside in the sunshine, Thomas is applying his new activity at the Snow Zone in Castleford, in temperatures of about -5degC. Mr. Pettigrew said, \"When Thomas tries most sports, he has to stop when he gets too hot but that never happens with snowboarding. I was surprised at how good he was when he started. He now goes every week for three or four hours. He's been so enthusiastic about his snowboarding that he's even persuaded me to have a go, so we can enjoy it together.\" \n\nThomas's parents have spent the past 10 years watching the schoolboy for any signs of overheating, only taking him on holiday in the cooler months. \"He has no energy and no interest in doing anything if he overheats and we do whatever it takes to cool his temperature, such as putting him in the car with the air conditioner working or running cold baths.\" \n\nAiden Harington, head of the ski school at Snow Zone, said, \"Snow sports are a great way for anyone to keep fit, but seem to be particularly beneficial to Thomas as he is able to make sure he stays cool. Thomas does very well in snowboarding, and he can now perform plenty of freestyle actions. I'm sure that he will continue to progress in the coming months, and hopefully take part in some of our freestyle events.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6033\": \"Which type of sport is a great way to stay in shape?\"\n },\n {\n \"6034\": \"Who runs the ski school?\"\n },\n {\n \"6035\": \"What is the name of the school?\"\n },\n {\n \"6036\": \"Why can't the kid do regular phys ed stuff?\"\n },\n {\n \"6037\": \"What does it cause?\"\n },\n {\n \"6038\": \"Who had the notion to bring Thomas to the mountain?\"\n },\n {\n \"6039\": \"What was his name?\"\n },\n {\n \"6040\": \"When did he have this idea?\"\n },\n {\n \"6041\": \"How cold is it where they are skiing?\"\n },\n {\n \"6042\": \"What is the result when Thomas engages in most activities?\"\n },\n {\n \"6043\": \"Why>\"\n },\n {\n \"6044\": \"Does that happen with snowboarding?\"\n },\n {\n \"6045\": \"Was he good at riding when he first tried?\"\n },\n {\n \"6046\": \"How often does he get up to the slopes?\"\n },\n {\n \"6047\": \"For how long?\"\n },\n {\n \"6048\": \"Has he got anyone else to try riding with him?\"\n },\n {\n \"6049\": \"Who?\"\n },\n {\n \"6050\": \"How does Thomas cool off when he gets too hot and isn't in the snow?\"\n },\n {\n \"6051\": \"Any other way?\"\n },\n {\n \"6052\": \"Can they go snowboarding any time of the year?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6033\",\n \"answer\": \"Snow sports\"\n },\n {\n \"question_id\": \"6034\",\n \"answer\": \"Aiden Harington\"\n },\n {\n \"question_id\": \"6035\",\n \"answer\": \"Snow Zone\"\n },\n {\n \"question_id\": \"6036\",\n \"answer\": \"he has a rare condition\"\n },\n {\n \"question_id\": \"6037\",\n \"answer\": \"his body to overheat\"\n },\n {\n \"question_id\": \"6038\",\n \"answer\": \"His father\"\n },\n {\n \"question_id\": \"6039\",\n \"answer\": \"Richard\"\n },\n {\n \"question_id\": \"6040\",\n \"answer\": \"2010\"\n },\n {\n \"question_id\": \"6041\",\n \"answer\": \"-5degC\"\n },\n {\n \"question_id\": \"6042\",\n \"answer\": \"he has to stop\"\n },\n {\n \"question_id\": \"6043\",\n \"answer\": \"he gets too hot\"\n },\n {\n \"question_id\": \"6044\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6045\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6046\",\n \"answer\": \"every week\"\n },\n {\n \"question_id\": \"6047\",\n \"answer\": \"three or four hours\"\n },\n {\n \"question_id\": \"6048\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6049\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"6050\",\n \"answer\": \"takes a cold bath\"\n },\n {\n \"question_id\": \"6051\",\n \"answer\": \"Get in air conditioning\"\n },\n {\n \"question_id\": \"6052\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI. \n\nThe next morning was gloomy and rainy, as Elizabeth informed Anne at about seven o'clock; 'and I am not sorry for it,' said she, 'for I want to have you all to myself at home, so we will turn the incubi over to Kate and Helen, and be comfortable together.' \n\n'Will they submit to such treatment?' said Anne. \n\n'Oh yes, my dear,' said Elizabeth; 'they want us as little as we want them; they only want a little civility, and I will not be so sparing of that useful commodity as I was yesterday evening. And now, Anne, I am going to beg your pardon for being so excessively rude to Harriet, as I was last night. She did not mind it, but you did, and much more than if it had been to yourself.' \n\n'I believe I did,' said Anne; 'other people do not know what you mean when you set up your bristles, and I do. Besides, I was sorry for Lucy, who looks as if she had sensitiveness enough for the whole family.' \n\n'Poor Lucy!' said Elizabeth; \n\n\"A weary lot is thine, fair maid, A weary lot is thine.\" \n\nYes, Lucy has very deep feeling; you may see it in the painful flushing of her cheek, and the downcast look of her eye, when her mother and sister expose themselves. I really believe that that poor girl has more to endure than most people.' \n\n'O Lizzie,' said Anne, 'how differently you spoke of her yesterday!' \n\n'Yes,' said Elizabeth, 'but then I was furious with Mrs. Hazleby; and besides, I believe the truth was, that I was very tired and very cross, not exactly the way in which I intended to conclude the Consecration day; and now I am in my senses, I am very sorry I behaved as I did. But, Anne, though I hereby retract all I said in dispraise of Lucy, and confess that I was rude to Harriet, do not imagine that I disavow all I said about society last night, for I assure you that I expressed my deliberate opinion.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23868\": \"What section of the tale are we on?\"\n },\n {\n \"23869\": \"How's the weather?\"\n },\n {\n \"23870\": \"Who are talking to each other?\"\n },\n {\n \"23871\": \"Is it nine o'clock yet?\"\n },\n {\n \"23872\": \"Who did Elizabeth suggest to give the incubi to?\"\n },\n {\n \"23873\": \"Why did she think they wouldn't be bothered about this arrangement?\"\n },\n {\n \"23874\": \"Who did she treat badly the night before?\"\n },\n {\n \"23875\": \"Was Harriet upset about the way she was treated?\"\n },\n {\n \"23876\": \"Who was Anne worried about when this happened?\"\n },\n {\n \"23877\": \"Did Elizabeth feel good about Lucy's reaction?\"\n },\n {\n \"23878\": \"What physical changes give Lucy's emotions away?\"\n },\n {\n \"23879\": \"Who was Elizabeth extremely upset at setting of the events?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23868\",\n \"answer\": \"Chapter VI\"\n },\n {\n \"question_id\": \"23869\",\n \"answer\": \"gloomy and rainy\"\n },\n {\n \"question_id\": \"23870\",\n \"answer\": \"Elizabeth and Anne\"\n },\n {\n \"question_id\": \"23871\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23872\",\n \"answer\": \"Kate and Helen\"\n },\n {\n \"question_id\": \"23873\",\n \"answer\": \"they only want a little civility\"\n },\n {\n \"question_id\": \"23874\",\n \"answer\": \"Harriet\"\n },\n {\n \"question_id\": \"23875\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23876\",\n \"answer\": \"Lucy\"\n },\n {\n \"question_id\": \"23877\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23878\",\n \"answer\": \"cheek flushing and downcast eye\"\n },\n {\n \"question_id\": \"23879\",\n \"answer\": \"Mrs. Hazleby\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Condolences continued to pour in late Sunday night following the death of heavy metal rocker Ronnie James Dio, who lost his battle with stomach cancer earlier in the day. \n\n\"Today my heart is broken, Ronnie passed away at 7:45 a.m. 16th May,\" his wife, Wendy Dio, said in a message on his official website. \n\nDio, 67, followed Ozzy Osbourne as Black Sabbath's lead vocalist in 1979. \n\n\"Many, many friends and family were able to say their private goodbyes before he peacefully passed away,\" she wrote. \"Ronnie knew how much he was loved by all.\" \n\nThe rock community paid tribute to Dio in messages late Sunday. \n\n\"In addition to his powerhouse vocal ability, Ronnie was a true gentleman who always emanated great warmth and friendship to us and everyone around him,\" KISS said. \"We will miss him.\" \n\nAnthrax guitarist Scott Ian called Dio's death a big loss. \n\n\"So many memories of Ronnie. Toured together many times. He always had a kind word and a smile, and he loved the Yankees,\" Ian said. \n\nMusician Slash summed up the loss in one sentence: \"Ronnie died at 7:45 a.m., but his music will live for eternity.\" \n\nMotley Crue bassist Nikki Sixx, who became friends with Dio while touring Europe, said the rocker will be missed. \n\n\"I still have this image of him standing on stage in front of 100,000 belting out 'Man on the Silver Mountain' and remember the shivers it sent up my spine,\" Sixx said. \n\nHe called Dio \"one of the kindest souls I have ever met and his talent was beyond inspirational to so many of us.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6797\": \"Who died?\"\n },\n {\n \"6798\": \"How?\"\n },\n {\n \"6799\": \"Who made the statement?\"\n },\n {\n \"6800\": \"Who did he tour with?\"\n },\n {\n \"6801\": \"Who else?\"\n },\n {\n \"6802\": \"Name someone who considered themselves a friend?\"\n },\n {\n \"6803\": \"What will become of his music legacy?\"\n },\n {\n \"6804\": \"Who did he love?\"\n },\n {\n \"6805\": \"According to who?\"\n },\n {\n \"6806\": \"When did he die?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6797\",\n \"answer\": \"Ronnie James Dio\"\n },\n {\n \"question_id\": \"6798\",\n \"answer\": \"stomach cancer\"\n },\n {\n \"question_id\": \"6799\",\n \"answer\": \"Wendy Dio\"\n },\n {\n \"question_id\": \"6800\",\n \"answer\": \"Black Sabbath\"\n },\n {\n \"question_id\": \"6801\",\n \"answer\": \"KISS\"\n },\n {\n \"question_id\": \"6802\",\n \"answer\": \"Nikki Sixx\"\n },\n {\n \"question_id\": \"6803\",\n \"answer\": \"his music will live for eternity\"\n },\n {\n \"question_id\": \"6804\",\n \"answer\": \"Yankees\"\n },\n {\n \"question_id\": \"6805\",\n \"answer\": \"Scott Ian\"\n },\n {\n \"question_id\": \"6806\",\n \"answer\": \"16th May\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XV \n\nTHREE INTERVIEWS \n\nThe next day was a Sunday, and the Colonel went to church, wearing a hat-band four inches deep. Morris, however, declined to accompany him, saying that he had a letter to write to Mary; whereon his father, who at first was inclined to be vexed, replied that he could not be better employed, and that he was to give her his love. Then he asked if Miss Fregelius was coming, but somewhat to his disappointment, was informed that she wished to stay with her father. \n\n\"I wonder,\" thought the Colonel to himself as he strolled to the church, now and again acknowledging greetings or stopping to chat with one of the villagers--\"I wonder if they are going to have a little sacred music together in the chapel. If so, upon my soul, I should like to make the congregation. And that pious fellow Morris, too--the blameless Morris--to go philandering about in this fashion. I hope it won't come to Mary's ears; but if it does, luckily, with all her temper, she is a sensible woman, and knows that even Jove nods at times.\" \n\nAfter the service the Colonel spoke to various friends, accepted their condolences upon the death of Mr. Porson, and finally walked down the road with Eliza Layard. \n\n\"You must have found that all sorts of strange things have happened at the Abbey since you have been away, Colonel Monk,\" she said presently in a sprightly voice. \n\n\"Well, yes; at least I don't know. I understand that Morris has improved that blessed apparatus of his, and the new parson and his daughter have floated to our doors like driftwood. By the way, have you seen Miss Fregelius?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79279\": \"who went to church\"\n },\n {\n \"79280\": \"who wanted to stay home with her dad\"\n },\n {\n \"79281\": \"who did not want to go with the colonel\"\n },\n {\n \"79282\": \"who walked down the road\"\n },\n {\n \"79283\": \"who did he go with\"\n },\n {\n \"79284\": \"who came in the door lake floating wood\"\n },\n {\n \"79285\": \"who wrote a letter\"\n },\n {\n \"79286\": \"was he to send his love for someone to her\"\n },\n {\n \"79287\": \"who has a temper\"\n },\n {\n \"79288\": \"does the parson have a daughter\"\n },\n {\n \"79289\": \"what does Jove do at times\"\n },\n {\n \"79290\": \"how deep is the hat band\"\n },\n {\n \"79291\": \"who is blameless\"\n },\n {\n \"79292\": \"did colonel talk to talk with the town folk\"\n },\n {\n \"79293\": \"who passed away\"\n },\n {\n \"79294\": \"what day was it\"\n },\n {\n \"79295\": \"where did odd things happen\"\n },\n {\n \"79296\": \"who was vexed\"\n },\n {\n \"79297\": \"was someones sur name Layard\"\n },\n {\n \"79298\": \"did colonel have many friends\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79279\",\n \"answer\": \"The Colonel\"\n },\n {\n \"question_id\": \"79280\",\n \"answer\": \"Miss Fregelius\"\n },\n {\n \"question_id\": \"79281\",\n \"answer\": \"Morris\"\n },\n {\n \"question_id\": \"79282\",\n \"answer\": \"The Colonel\"\n },\n {\n \"question_id\": \"79283\",\n \"answer\": \"Eliza Layard.\"\n },\n {\n \"question_id\": \"79284\",\n \"answer\": \"the new parson and his daughter\"\n },\n {\n \"question_id\": \"79285\",\n \"answer\": \"Morris\"\n },\n {\n \"question_id\": \"79286\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79287\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"79288\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79289\",\n \"answer\": \"He nods\"\n },\n {\n \"question_id\": \"79290\",\n \"answer\": \"4 inches\"\n },\n {\n \"question_id\": \"79291\",\n \"answer\": \"Morris\"\n },\n {\n \"question_id\": \"79292\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79293\",\n \"answer\": \"Mr. Porson\"\n },\n {\n \"question_id\": \"79294\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"79295\",\n \"answer\": \"At the Abbey\"\n },\n {\n \"question_id\": \"79296\",\n \"answer\": \"Morris' father\"\n },\n {\n \"question_id\": \"79297\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79298\",\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 Adult contemporary music (AC) is a style of music, ranging from 1960s vocal and 1970s soft rock music to predominantly ballad-heavy music of the present day, with varying degrees of easy listening, pop, soul, rhythm and blues, quiet storm, and rock influence. Adult contemporary is rather a continuation of the easy listening and soft rock style that became popular in the 1960s and 1970s with some adjustments that reflect the evolution of pop/rock music. \n\nAdult contemporary tends to have lush, soothing and highly polished qualities where emphasis on melody and harmonies is accentuated. It is usually melodic enough to get a listener's attention, and is inoffensive and pleasurable enough to work well as background music. Like most of pop music, its songs tend to be written in a basic format employing a verse–chorus structure. \n\nAdult contemporary is heavy on romantic sentimental ballads which mostly use acoustic instruments (though bass guitar is usually used) such as acoustic guitars, pianos, saxophones, and sometimes an orchestral set. The electric guitars are normally faint and high-pitched. However, recent adult contemporary music may usually feature synthesizers (and other electronics, such as drum machines).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98720\": \"What does AC stand for?\"\n },\n {\n \"98721\": \"What is that?\"\n },\n {\n \"98722\": \"What does that style include?\"\n },\n {\n \"98723\": \"What is it considered an extension of?\"\n },\n {\n \"98724\": \"What changes have been made?\"\n },\n {\n \"98725\": \"What is a quality that it has?\"\n },\n {\n \"98726\": \"Is it loud and brash or soft and calming?\"\n },\n {\n \"98727\": \"What is a good use for this style?\"\n },\n {\n \"98728\": \"What is the format of it?\"\n },\n {\n \"98729\": \"Are there more electric or acoustic sounds?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98720\",\n \"answer\": \"Adult contemporary\"\n },\n {\n \"question_id\": \"98721\",\n \"answer\": \"style of music\"\n },\n {\n \"question_id\": \"98722\",\n \"answer\": \"ranging from 1960s and 1970s soft rock to ballad-heavy music of today\"\n },\n {\n \"question_id\": \"98723\",\n \"answer\": \"easy listening and soft rock style from the 1960s and 1970s\"\n },\n {\n \"question_id\": \"98724\",\n \"answer\": \"adjustments reflecting evolution of pop/rock music.\"\n },\n {\n \"question_id\": \"98725\",\n \"answer\": \"Adult contemporary\"\n },\n {\n \"question_id\": \"98726\",\n \"answer\": \"It's lush and soothing\"\n },\n {\n \"question_id\": \"98727\",\n \"answer\": \"background music\"\n },\n {\n \"question_id\": \"98728\",\n \"answer\": \"verse\\u2013chorus structure\"\n },\n {\n \"question_id\": \"98729\",\n \"answer\": \"acoustic\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 exact number of exonerated American prisoners is unknown. But data gathered by university law schools indicates it's more than 2,000. Fascinating details surrounding some of these exonerations set them apart from the rest. Here are five recent exonerations that made headlines. \n\n1. Michael Morton \n\nThe subject of a CNN film, Michael Morton wasn't home when his wife, Christine, was beaten to death in front of their 3-year-old son at their Austin, Texas-area home in 1986. But a prosecutor said the evidence suggested otherwise. The problem was, the jury was prevented from hearing all the evidence in the case. \n\nWrongly convicted of murder and sentenced to life in prison, a team of loyal supporters and DNA evidence helped Morton win his freedom in 2011. Last month, Morton's former prosecutor pleaded no contest to a court order to show cause regarding evidence that was not used in the trial. \n\nRead more about Michael Morton's story \n\n2. Brian Banks and the incredible twist \n\nAt age 17, fearing a potentially long sentence, college football hopeful Brian Banks followed the advice of his attorney and pleaded no contest to assaulting a Long Beach, California, high school classmate in 2002. \n\nBanks maintained his innocence throughout nearly six years of imprisonment, subsequent probation and registration as a sex offender. \n\nBut in 2011, the case took an incredible twist when the alleged victim sent Banks a Facebook friend request. \n\nAccording to the California Innocence Project, the woman later admitted that Banks had not kidnapped or raped her during a consensual encounter at Long Beach Polytechnic High School, where Banks was a middle linebacker with a scholarship offer from the University of Southern California. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10785\": \"How many been exonerated in US?\"\n },\n {\n \"10786\": \"Who provided the info?\"\n },\n {\n \"10787\": \"Whose wife was killed?\"\n },\n {\n \"10788\": \"What was her name?\"\n },\n {\n \"10789\": \"Was he at home at that time?\"\n },\n {\n \"10790\": \"Was there any one else?\"\n },\n {\n \"10791\": \"Who?\"\n },\n {\n \"10792\": \"How old was he?\"\n },\n {\n \"10793\": \"When this happened?\"\n },\n {\n \"10794\": \"In which state?\"\n },\n {\n \"10795\": \"Who got punished for the crime?\"\n },\n {\n \"10796\": \"What was the sentence?\"\n },\n {\n \"10797\": \"Then what happened?\"\n },\n {\n \"10798\": \"When?\"\n },\n {\n \"10799\": \"How?\"\n },\n {\n \"10800\": \"How old was Banks?\"\n },\n {\n \"10801\": \"What was he accused of?\"\n },\n {\n \"10802\": \"What did he plead?\"\n },\n {\n \"10803\": \"Then what happened?\"\n },\n {\n \"10804\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10785\",\n \"answer\": \"more than 2,000\"\n },\n {\n \"question_id\": \"10786\",\n \"answer\": \"university law schools\"\n },\n {\n \"question_id\": \"10787\",\n \"answer\": \"Michael Morton\"\n },\n {\n \"question_id\": \"10788\",\n \"answer\": \"Christine\"\n },\n {\n \"question_id\": \"10789\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10790\",\n \"answer\": \"3-year-old son\"\n },\n {\n \"question_id\": \"10791\",\n \"answer\": \"his son\"\n },\n {\n \"question_id\": \"10792\",\n \"answer\": \"3-year\"\n },\n {\n \"question_id\": \"10793\",\n \"answer\": \"1986\"\n },\n {\n \"question_id\": \"10794\",\n \"answer\": \"Texas\"\n },\n {\n \"question_id\": \"10795\",\n \"answer\": \"Morton\"\n },\n {\n \"question_id\": \"10796\",\n \"answer\": \"life in prison\"\n },\n {\n \"question_id\": \"10797\",\n \"answer\": \"won his freedom\"\n },\n {\n \"question_id\": \"10798\",\n \"answer\": \"2011\"\n },\n {\n \"question_id\": \"10799\",\n \"answer\": \"DNA evidence\"\n },\n {\n \"question_id\": \"10800\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"10801\",\n \"answer\": \"assaulting\"\n },\n {\n \"question_id\": \"10802\",\n \"answer\": \"no contest\"\n },\n {\n \"question_id\": \"10803\",\n \"answer\": \"victim retracted\"\n },\n {\n \"question_id\": \"10804\",\n \"answer\": \"in 2011\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- A Canadian hang-gliding instructor who police say swallowed a memory card possibly containing video of a fatal accident was granted bail Friday, a court spokesman said. \n\nWilliam Jonathan Orders, 50, who was arrested and charged with obstructing justice, appeared in provincial court in Chilliwack, British Columbia. His bail was set at $5,750 (Canadian), said Neil MacKenzie, communications counsel with the province's criminal justice branch. \n\nOrders was instructed to turn over his passport and to not operate a hang glider or paraglider, he said. \n\nLenami Godinez-Avila had just started a tandem hang-gliding flight with the instructor, when she fell from the glider, plunging hundreds of feet to her death Saturday in a heavily wooded part of western Canada, authorities say. \n\nInvestigators say the instructor tried to hide what might be a key piece of evidence about what went wrong -- a possible onboard video recording of the flight -- in his digestive tract. \n\nThe recording has since passed and is now in police custody, MacKenzie said. He declined comment on whether anything retrievable could be taken from the card. \n\nCalls on Thursday and Friday seeking comment from Orders' attorney, Laird Cruickshank, were not immediately returned. \n\nThe fall happened near Mount Woodside, from which Orders and the 27-year-old Godinez-Avila took off, more than 50 miles east of Vancouver. \n\nA witness, Nicole McLearn, told the Canadian Broadcasting Corp. that when the glider was in the air, Godinez-Avila appeared to be wearing her harness, but it wasn't attached to the glider. The passenger clung to Orders before she fell, McLearn said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22255\": \"What did the man swallow?\"\n },\n {\n \"22256\": \"His name?\"\n },\n {\n \"22257\": \"Was he arrested?\"\n },\n {\n \"22258\": \"What was the charge?\"\n },\n {\n \"22259\": \"Was someone killed?\"\n },\n {\n \"22260\": \"Name?\"\n },\n {\n \"22261\": \"How did she die?\"\n },\n {\n \"22262\": \"doing what?\"\n },\n {\n \"22263\": \"Where did it happen?\"\n },\n {\n \"22264\": \"How old was the person arrested?\"\n },\n {\n \"22265\": \"What was his occupation?\"\n },\n {\n \"22266\": \"What do investigators say about him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22255\",\n \"answer\": \"a memory card\"\n },\n {\n \"question_id\": \"22256\",\n \"answer\": \"William Jonathan Orders\"\n },\n {\n \"question_id\": \"22257\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22258\",\n \"answer\": \"obstructing justice\"\n },\n {\n \"question_id\": \"22259\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22260\",\n \"answer\": \"Lenami Godinez-Avila\"\n },\n {\n \"question_id\": \"22261\",\n \"answer\": \"she fell\"\n },\n {\n \"question_id\": \"22262\",\n \"answer\": \"tandem hang-gliding\"\n },\n {\n \"question_id\": \"22263\",\n \"answer\": \"Canada\"\n },\n {\n \"question_id\": \"22264\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"22265\",\n \"answer\": \"hang-gliding instructor\"\n },\n {\n \"question_id\": \"22266\",\n \"answer\": \"he tried to hide evidence\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Human Development Index (HDI) is a composite statistic of life expectancy, education, and income per capita indicators, which are used to rank countries into four tiers of human development. A country scores higher HDI when the life expectancy at birth is longer, the education period is longer, and the income per capita is higher. The HDI was developed by the Pakistani economist Mahbub ul Haq, often framed in terms of whether people are able to \"be\" and \"do\" desirable things in their life, and was published by the United Nations Development Programme. \n\nThe 2010 Human Development Report introduced an Inequality-adjusted Human Development Index (IHDI). While the simple HDI remains useful, it stated that \"the IHDI is the actual level of human development (accounting for inequality),\" and \"the HDI can be viewed as an index of 'potential' human development (or the maximum IHDI that could be achieved if there were no inequality).\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18468\": \"Who developed the HDI?\"\n },\n {\n \"18469\": \"what does it stand for?\"\n },\n {\n \"18470\": \"what was one of the data points it looked at?\"\n },\n {\n \"18471\": \"and another?\"\n },\n {\n \"18472\": \"is there another one?\"\n },\n {\n \"18473\": \"what is it?\"\n },\n {\n \"18474\": \"which is a better score, high or low?\"\n },\n {\n \"18475\": \"how many levels are there?\"\n },\n {\n \"18476\": \"did this help describe undesirable things?\"\n },\n {\n \"18477\": \"what did it describe?\"\n },\n {\n \"18478\": \"who did the publication of it?\"\n },\n {\n \"18479\": \"what came out in 2010?\"\n },\n {\n \"18480\": \"what did it present?\"\n },\n {\n \"18481\": \"why is it better according to this?\"\n },\n {\n \"18482\": \"what helps make a place get a higher score?\"\n },\n {\n \"18483\": \"is it better if people are expected to live longer?\"\n },\n {\n \"18484\": \"what is another thing that results in a top score?\"\n },\n {\n \"18485\": \"anything else?\"\n },\n {\n \"18486\": \"What does the HDR say the HDI can be seen as?\"\n },\n {\n \"18487\": \"or?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"18468\",\n \"answer\": \"Pakistani economist Mahbub ul Haq,\"\n },\n {\n \"question_id\": \"18469\",\n \"answer\": \"Human Development Index\"\n },\n {\n \"question_id\": \"18470\",\n \"answer\": \"life expectancy,\"\n },\n {\n \"question_id\": \"18471\",\n \"answer\": \"income per capita\"\n },\n {\n \"question_id\": \"18472\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18473\",\n \"answer\": \"education,\"\n },\n {\n \"question_id\": \"18474\",\n \"answer\": \"high\"\n },\n {\n \"question_id\": \"18475\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"18476\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18477\",\n \"answer\": \"if people can \\\"be\\\" and \\\"do\\\" good things\"\n },\n {\n \"question_id\": \"18478\",\n \"answer\": \"UN Development Programme\"\n },\n {\n \"question_id\": \"18479\",\n \"answer\": \"Human Development Report\"\n },\n {\n \"question_id\": \"18480\",\n \"answer\": \"Inequality-adjusted HDI\"\n },\n {\n \"question_id\": \"18481\",\n \"answer\": \"IHDI is actual develoment, HDI is potential\"\n },\n {\n \"question_id\": \"18482\",\n \"answer\": \"If there were no inequality).\\\"\"\n },\n {\n \"question_id\": \"18483\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18484\",\n \"answer\": \"education period is longer,\"\n },\n {\n \"question_id\": \"18485\",\n \"answer\": \"income per capita is higher\"\n },\n {\n \"question_id\": \"18486\",\n \"answer\": \"index of potential human development\"\n },\n {\n \"question_id\": \"18487\",\n \"answer\": \"max IHDI if there's no inequality\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nOn Sunday morning under the bright, warm sun, the little hamlet of Fort Henry lay peacefully quiet, as if no storms had ever rolled and thundered overhead, no roistering ever disturbed its stillness, and no Indian's yell ever horribly broke the quiet. \n\n\"'Tis a fine morning,\" said Colonel Zane, joining his sister on the porch. \"Well, how nice you look! All in white for the first time since--well, you do look charming. You're going to church, of course.\" \n\n\"Yes, I invited Helen and her cousin to go. I've persuaded her to teach my Sunday-school class, and I'll take another of older children,\" replied Betty. \n\n\"That's well. The youngsters don't have much chance to learn out here. But we've made one great stride. A church and a preacher means very much to young people. Next shall come the village school.\" \n\n\"Helen and I might teach our classes an hour or two every afternoon.\" \n\n\"It would be a grand thing if you did! Fancy these tots growing up unable to read or write. I hate to think of it; but the Lord knows I've done my best. I've had my troubles in keeping them alive.\" \n\n\"Helen suggested the day school. She takes the greatest interest in everything and everybody. Her energy is remarkable. She simply must move, must do something. She overflows with kindness and sympathy. Yesterday she cried with happiness when Mabel told her Alex was eager to be married very soon. I tell you, Eb, Helen is a fine character.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79955\": \"Who was the first person to speak?\"\n },\n {\n \"79956\": \"Who was he talking to?\"\n },\n {\n \"79957\": \"Where?\"\n },\n {\n \"79958\": \"How did she appear?\"\n },\n {\n \"79959\": \"What was she wearing?\"\n },\n {\n \"79960\": \"Was she going somewhere?\"\n },\n {\n \"79961\": \"Where?\"\n },\n {\n \"79962\": \"With who?\"\n },\n {\n \"79963\": \"Was she teaching?\"\n },\n {\n \"79964\": \"What?\"\n },\n {\n \"79965\": \"What is his sister's name?\"\n },\n {\n \"79966\": \"Is Helen a good person?\"\n },\n {\n \"79967\": \"What did she suggest?\"\n },\n {\n \"79968\": \"Is she lazy?\"\n },\n {\n \"79969\": \"What was she going to do?\"\n },\n {\n \"79970\": \"What will Betty do instead?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79955\",\n \"answer\": \"Colonel Zane\"\n },\n {\n \"question_id\": \"79956\",\n \"answer\": \"His sister\"\n },\n {\n \"question_id\": \"79957\",\n \"answer\": \"On the porch\"\n },\n {\n \"question_id\": \"79958\",\n \"answer\": \"Nice\"\n },\n {\n \"question_id\": \"79959\",\n \"answer\": \"All in white\"\n },\n {\n \"question_id\": \"79960\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79961\",\n \"answer\": \"Church\"\n },\n {\n \"question_id\": \"79962\",\n \"answer\": \"Helen and her cousin\"\n },\n {\n \"question_id\": \"79963\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79964\",\n \"answer\": \"Sunday-school class\"\n },\n {\n \"question_id\": \"79965\",\n \"answer\": \"Betty\"\n },\n {\n \"question_id\": \"79966\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79967\",\n \"answer\": \"The day school\"\n },\n {\n \"question_id\": \"79968\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79969\",\n \"answer\": \"Teach Betty's Sunday-school class\"\n },\n {\n \"question_id\": \"79970\",\n \"answer\": \"Teach older children\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nAfter nearly six months in the Nueces gorge the loneliness and inaction of his life drove Duane out upon the trails seeking anything rather than to hide longer alone, a prey to the scourge of his thoughts. The moment he rode into sight of men a remarkable transformation occurred in him. A strange warmth stirred in him--a longing to see the faces of people, to hear their voices--a pleasurable emotion sad and strange. But it was only a precursor of his old bitter, sleepless, and eternal vigilance. When he hid alone in the brakes he was safe from all except his deeper, better self; when he escaped from this into the haunts of men his force and will went to the preservation of his life. \n\nMercer was the first village he rode into. He had many friends there. Mercer claimed to owe Duane a debt. On the outskirts of the village there was a grave overgrown by brush so that the rude-lettered post which marked it was scarcely visible to Duane as he rode by. He had never read the inscription. But he thought now of Hardin, no other than the erstwhile ally of Bland. For many years Hardin had harassed the stockmen and ranchers in and around Mercer. On an evil day for him he or his outlaws had beaten and robbed a man who once succored Duane when sore in need. Duane met Hardin in the little plaza of the village, called him every name known to border men, taunted him to draw, and killed him in the act. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98620\": \"Where has Duane been?\"\n },\n {\n \"98621\": \"For how long?\"\n },\n {\n \"98622\": \"Was he lonely?\"\n },\n {\n \"98623\": \"What did he do to combat the loneliness?\"\n },\n {\n \"98624\": \"What was the name of the first village?\"\n },\n {\n \"98625\": \"Did Mercer owe him something?\"\n },\n {\n \"98626\": \"What was just outside the village?\"\n },\n {\n \"98627\": \"Was anything on it?\"\n },\n {\n \"98628\": \"What?\"\n },\n {\n \"98629\": \"Was anything written on the post?\"\n },\n {\n \"98630\": \"Had Duane ever read it?\"\n },\n {\n \"98631\": \"Who did Duane think of?\"\n },\n {\n \"98632\": \"Who had Hardin bothered?\"\n },\n {\n \"98633\": \"Where had they met?\"\n },\n {\n \"98634\": \"What did Duane do to him?\"\n },\n {\n \"98635\": \"Then what?\"\n },\n {\n \"98636\": \"And then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98620\",\n \"answer\": \"Nueces gorge\"\n },\n {\n \"question_id\": \"98621\",\n \"answer\": \"nearly six months\"\n },\n {\n \"question_id\": \"98622\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98623\",\n \"answer\": \"prey to the scourge of his thoughts.\"\n },\n {\n \"question_id\": \"98624\",\n \"answer\": \"Mercer\"\n },\n {\n \"question_id\": \"98625\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98626\",\n \"answer\": \"a grave\"\n },\n {\n \"question_id\": \"98627\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98628\",\n \"answer\": \"brush\"\n },\n {\n \"question_id\": \"98629\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98630\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98631\",\n \"answer\": \"Hardin,\"\n },\n {\n \"question_id\": \"98632\",\n \"answer\": \"the stockmen and ranchers\"\n },\n {\n \"question_id\": \"98633\",\n \"answer\": \"in the little plaza of the village,\"\n },\n {\n \"question_id\": \"98634\",\n \"answer\": \"called him every name known to border men,\"\n },\n {\n \"question_id\": \"98635\",\n \"answer\": \"taunted him to draw\"\n },\n {\n \"question_id\": \"98636\",\n \"answer\": \"killed him in the act.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Woody Harrelson defended his clash with a photographer at a New York airport Wednesday night as a case of mistaken identity -- he says he mistook the cameraman for a zombie. \n\nWoody Harrelson says he got into a clash with a photographer because he mistook him for a zombie. \n\nThe TMZ photographer filed a complaint with police claiming the actor damaged his camera and pushed him in the face at La Guardia Airport, according to an airport spokesman. \n\n\"We're looking into this allegation and if it's warranted, we'll turn it over to the proper authorities,\" said Port Authority of New York and New Jersey spokesman Ron Marsico. \n\nThe photographer, who was not identified, captured the encounter on a small camera after his larger one was broken. \n\nHarrelson, who is being sued by another TMZ photographer for an alleged assault in 2006, did not deny his involvement. \n\n\"I wrapped a movie called 'Zombieland,' in which I was constantly under assault by zombies, then flew to New York, still very much in character,\" Harrelson said in a statement issued Friday by his publicist. \n\n\"With my daughter at the airport I was startled by a paparazzo, who I quite understandably mistook for a zombie,\" he said. \n\nTMZ.com posted two videos of the incident, including one recorded by the larger camera before it was damaged. \n\nThe first video shows the photographer following Harrelson and his daughter down an escalator and out of the terminal. It ends with Harrelson apparently reaching for the lens. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81391\": \"Did something happen at the airport?\"\n },\n {\n \"81392\": \"Who was involved?\"\n },\n {\n \"81393\": \"Did he recognize the paparazzi?\"\n },\n {\n \"81394\": \"What did he think he was?\"\n },\n {\n \"81395\": \"Were they in Chicago?\"\n },\n {\n \"81396\": \"Where were they?\"\n },\n {\n \"81397\": \"Which airport?\"\n },\n {\n \"81398\": \"Did anyone make a report?\"\n },\n {\n \"81399\": \"Whom?\"\n },\n {\n \"81400\": \"Who did he file it with?\"\n },\n {\n \"81401\": \"Where does he work?\"\n },\n {\n \"81402\": \"Has the actor encountered zombie's before?\"\n },\n {\n \"81403\": \"Where?!\"\n },\n {\n \"81404\": \"Was his son with him during the altercation?\"\n },\n {\n \"81405\": \"Who was?\"\n },\n {\n \"81406\": \"How many videos were put online?\"\n },\n {\n \"81407\": \"What site are they on?\"\n },\n {\n \"81408\": \"Was the name of the photographer disclosed?\"\n },\n {\n \"81409\": \"Did he follow them on the stairs?\"\n },\n {\n \"81410\": \"Where then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81391\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"81392\",\n \"answer\": \"Woody Harrelson and a photographer\"\n },\n {\n \"question_id\": \"81393\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81394\",\n \"answer\": \"a zombie.\"\n },\n {\n \"question_id\": \"81395\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81396\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"81397\",\n \"answer\": \"La Guardia Airport\"\n },\n {\n \"question_id\": \"81398\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"81399\",\n \"answer\": \"The photographer\"\n },\n {\n \"question_id\": \"81400\",\n \"answer\": \"With the police\"\n },\n {\n \"question_id\": \"81401\",\n \"answer\": \"TMZ\"\n },\n {\n \"question_id\": \"81402\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"81403\",\n \"answer\": \"In a movie called 'Zombieland'\"\n },\n {\n \"question_id\": \"81404\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81405\",\n \"answer\": \"His daughter\"\n },\n {\n \"question_id\": \"81406\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"81407\",\n \"answer\": \"TMZ.com\"\n },\n {\n \"question_id\": \"81408\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81409\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81410\",\n \"answer\": \"down an escalator\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Infrared radiation is used in industrial, scientific, and medical applications. Night-vision devices using active near-infrared illumination allow people or animals to be observed without the observer being detected. Infrared astronomy uses sensor-equipped telescopes to penetrate dusty regions of space, such as molecular clouds; detect objects such as planets, and to view highly red-shifted objects from the early days of the universe. Infrared thermal-imaging cameras are used to detect heat loss in insulated systems, to observe changing blood flow in the skin, and to detect overheating of electrical apparatus. \n\nThe onset of infrared is defined (according to different standards) at various values typically between 700 nm and 800 nm, but the boundary between visible and infrared light is not precisely defined. The human eye is markedly less sensitive to light above 700 nm wavelength, so longer wavelengths make insignificant contributions to scenes illuminated by common light sources. However, particularly intense near-IR light (e.g., from IR lasers, IR LED sources, or from bright daylight with the visible light removed by colored gels) can be detected up to approximately 780 nm, and will be perceived as red light. Sources providing wavelengths as long as 1050 nm can be seen as a dull red glow in intense sources, causing some difficulty in near-IR illumination of scenes in the dark (usually this practical problem is solved by indirect illumination). Leaves are particularly bright in the near IR, and if all visible light leaks from around an IR-filter are blocked, and the eye is given a moment to adjust to the extremely dim image coming through a visually opaque IR-passing photographic filter, it is possible to see the Wood effect that consists of IR-glowing foliage.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25493\": \"what doesn't have a precise definition?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25493\",\n \"answer\": \"the boundary between visible and infrared 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 (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) -- Three radio DJs in Kenya are going six days without food while broadcasting non-stop to promote peaceful voting in a country that was nearly torn apart after its last election five years ago. \n\nGhetto Radio presenters Mbusii, Solloo and Essie have been locked inside a \"glass house\" in central Nairobi since Wednesday, as part of the station's annual Serious Request Kenya event. \n\nThis year's theme is \"Vote4Peace Vote4Kenya,\" ahead of the East African country's elections on March 4 2013. The vote will be the first since ethnic violence engulfed the country after disputed elections in December 2007, leaving more than 1,000 people dead and 350,000 displaced, according to the Kenya Red Cross. \n\nRead related: Can tech revolutionize African elections? \n\nThree days into the challenge, DJ Solloo is in good spirits -- despite the lack of food. \n\n\"I'm a bit hungry,\" he laughingly admits, \"but we have to do this -- it's a pretty good feeling.\" \n\nSolloo, whose real name is Solomon Njoroge, says Kenya cannot afford a return to post-election violence. Last time around, he says, he was a victim of the bloody unrest that swept his town of Eldoret, one of the fighting hotspots in Kenya's Rift Valley province. \n\nSolloo says that back then he had to spend more than two weeks with limited food supplies while camping at a police station for safety. \n\n\"This country cannot afford to go back to that time,\" says Solloo from the glass house, a few moments before going on air. \"I decided to come here because we have to push for this message to be a part of every Kenyan. It has to be every Kenyan's initiative to know that peace is more than just the absence of war.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87500\": \"Who are fasting ?\"\n },\n {\n \"87501\": \"Are they american?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87500\",\n \"answer\": \"Three DJs\"\n },\n {\n \"question_id\": \"87501\",\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 Modern-day Nigeria has been the site of numerous kingdoms and tribal states over the millennia. The modern state originated from British colonial rule beginning in the 19th century, and the merging of the Southern Nigeria Protectorate and Northern Nigeria Protectorate in 1914. The British set up administrative and legal structures whilst practising indirect rule through traditional chiefdoms. Nigeria became a formally independent federation in 1960, and plunged into a civil war from 1967 to 1970. It has since alternated between democratically-elected civilian governments and military dictatorships, until it achieved a stable democracy in 1999, with its 2011 presidential elections being viewed as the first to be conducted reasonably freely and fairly. \n\nNigeria is often referred to as the \"Giant of Africa\", owing to its large population and economy. With approximately 182 million inhabitants, Nigeria is the most populous country in Africa and the seventh most populous country in the world. Nigeria has one of the largest populations of youth in the world. The country is viewed as a multinational state, as it is inhabited by over 500 ethnic groups, of which the three largest are the Hausa, Igbo and Yoruba; these ethnic groups speak over 500 different languages, and are identified with wide variety of cultures. The official language is English. Nigeria is divided roughly in half between Christians, who live mostly in the southern part of the country, and Muslims in the northern part. A minority of the population practise religions indigenous to Nigeria, such as those native to Igbo and Yoruba peoples.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62554\": \"what is Nigeria called?\"\n },\n {\n \"62555\": \"why?\"\n },\n {\n \"62556\": \"how many ethnic groups?\"\n },\n {\n \"62557\": \"whats one of the largest?\"\n },\n {\n \"62558\": \"have they had a civil war?\"\n },\n {\n \"62559\": \"when?\"\n },\n {\n \"62560\": \"where did it originate from?\"\n },\n {\n \"62561\": \"what merging happened?\"\n },\n {\n \"62562\": \"what structures did the Brits have there?\"\n },\n {\n \"62563\": \"when did it become independent?\"\n },\n {\n \"62564\": \"what type of government have they had?\"\n },\n {\n \"62565\": \"/what happened in 2011?\"\n },\n {\n \"62566\": \"what the population?\"\n },\n {\n \"62567\": \"where does in rank in population?\"\n },\n {\n \"62568\": \"what about the world?\"\n },\n {\n \"62569\": \"what religions?\"\n },\n {\n \"62570\": \"which lives in the north?\"\n },\n {\n \"62571\": \"and South?\"\n },\n {\n \"62572\": \"any native religions?\"\n },\n {\n \"62573\": \"what people celebrate those religions?\"\n },\n {\n \"62574\": \"what do they speak there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62554\",\n \"answer\": \"the \\\"Giant of Africa\\\"\"\n },\n {\n \"question_id\": \"62555\",\n \"answer\": \"It has a large population and economy.\"\n },\n {\n \"question_id\": \"62556\",\n \"answer\": \"over 500\"\n },\n {\n \"question_id\": \"62557\",\n \"answer\": \"the Hausa\"\n },\n {\n \"question_id\": \"62558\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62559\",\n \"answer\": \"from 1967 to 1970.\"\n },\n {\n \"question_id\": \"62560\",\n \"answer\": \"from British colonial rule\"\n },\n {\n \"question_id\": \"62561\",\n \"answer\": \"the Southern Nigeria Protectorate and Northern Nigeria Protectorate in 1914.\"\n },\n {\n \"question_id\": \"62562\",\n \"answer\": \"administrative and legal\"\n },\n {\n \"question_id\": \"62563\",\n \"answer\": \"in 1960\"\n },\n {\n \"question_id\": \"62564\",\n \"answer\": \"democratically-elected civilian governments and military dictatorships,\"\n },\n {\n \"question_id\": \"62565\",\n \"answer\": \"the first to be conducted reasonably freely and fairly.\"\n },\n {\n \"question_id\": \"62566\",\n \"answer\": \"182 million\"\n },\n {\n \"question_id\": \"62567\",\n \"answer\": \"Most populous in Africa\"\n },\n {\n \"question_id\": \"62568\",\n \"answer\": \"seventh\"\n },\n {\n \"question_id\": \"62569\",\n \"answer\": \"Christians and Muslims\"\n },\n {\n \"question_id\": \"62570\",\n \"answer\": \"Muslims\"\n },\n {\n \"question_id\": \"62571\",\n \"answer\": \"Christians\"\n },\n {\n \"question_id\": \"62572\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62573\",\n \"answer\": \"those native to Igbo and Yoruba peoples.\"\n },\n {\n \"question_id\": \"62574\",\n \"answer\": \"over 500 different languages\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXII \n\nMORRISON IS DESPERATE \n\nCertainly it was a strange little gathering that waited in Morrison's room for the coming of Laverick. There was Lassen--flushed, ugly, breathing heavily, and watching the door with fixed, beady eyes. There was Adolf Kahn, the man who had strolled out from the Milan Hotel as Laverick had entered it, leaving the forged order behind him. There was Streuss--stern, and desperate with anxiety. There was Morrison himself, in the clothes of a workman, worn to a shadow, with the furtive gleam of terrified guilt shining in his sunken eyes, and the slouched shoulders and broken mien of the habitual criminal. There was Zoe, around whom they were all standing, with anger burning in her cheeks and gleaming out of her passion-filled eyes. She, too, like the others, watched the door. So they waited. \n\nStreuss, not for the first time, moved to the window and drawing aside the curtains looked down into the street. \n\n\"Will he come--this Englishman?\" he muttered. \"Has he courage?\" \n\n\"More courage than you who keep a girl here against her will!\" Zoe panted, looking at him defiantly. \"More courage than my poor brother, who stands there like a coward!\" \n\n\"Shut up, Zoe!\" Morrison exclaimed harshly. \"There is nothing for you to be furious about or frightened. No one wants to ill-treat you. These gentlemen all want to behave kindly to us. It is Laverick they want.\" \n\n\"And you,\" she cried, \"are content to stand by and let him walk into a trap--you let them even use my name to bring him here! Arthur, be a man! Have nothing more to do with them. Help me to get away from this place. Call out. Do something instead of standing there and wasting the precious minutes.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32933\": \"What was the gathering for?\"\n },\n {\n \"32934\": \"How many people were there?\"\n },\n {\n \"32935\": \"Where was this at?\"\n },\n {\n \"32936\": \"Was Lassen a handsome man?\"\n },\n {\n \"32937\": \"Where did Adolf come from?\"\n },\n {\n \"32938\": \"How was Morrison dressed?\"\n },\n {\n \"32939\": \"Where there any femals?\"\n },\n {\n \"32940\": \"who?\"\n },\n {\n \"32941\": \"What was everyone doing?\"\n },\n {\n \"32942\": \"for who?\"\n },\n {\n \"32943\": \"How did they get him to come?\"\n },\n {\n \"32944\": \"Was he an American?\"\n },\n {\n \"32945\": \"What was he?\"\n },\n {\n \"32946\": \"Who was Zoe's brother?\"\n },\n {\n \"32947\": \"Were the men there to hurt Zoe?\"\n },\n {\n \"32948\": \"What were they there for?\"\n },\n {\n \"32949\": \"who's name did they use to get him there?\"\n },\n {\n \"32950\": \"What did she want Arttur to do?\"\n },\n {\n \"32951\": \"and do what?\"\n },\n {\n \"32952\": \"and what else?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32933\",\n \"answer\": \"The coming of Laverick.\"\n },\n {\n \"question_id\": \"32934\",\n \"answer\": \"Five.\"\n },\n {\n \"question_id\": \"32935\",\n \"answer\": \"Morrison's room\"\n },\n {\n \"question_id\": \"32936\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"32937\",\n \"answer\": \"The Milan Hotel.\"\n },\n {\n \"question_id\": \"32938\",\n \"answer\": \"As a workman.\"\n },\n {\n \"question_id\": \"32939\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"32940\",\n \"answer\": \"Zoe.\"\n },\n {\n \"question_id\": \"32941\",\n \"answer\": \"Waiting.\"\n },\n {\n \"question_id\": \"32942\",\n \"answer\": \"Laverick.\"\n },\n {\n \"question_id\": \"32943\",\n \"answer\": \"forged order.\"\n },\n {\n \"question_id\": \"32944\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"32945\",\n \"answer\": \"An Englishman\"\n },\n {\n \"question_id\": \"32946\",\n \"answer\": \"Morrison\"\n },\n {\n \"question_id\": \"32947\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"32948\",\n \"answer\": \"Laverick.\"\n },\n {\n \"question_id\": \"32949\",\n \"answer\": \"Zoe\"\n },\n {\n \"question_id\": \"32950\",\n \"answer\": \"Be a man.\"\n },\n {\n \"question_id\": \"32951\",\n \"answer\": \"Have nothing more to do with them.\"\n },\n {\n \"question_id\": \"32952\",\n \"answer\": \"Help her to get away.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Saint Barthélemy (), officially the Territorial collectivity of Saint-Barthélemy (), called Ouanalao by the indigenous people, is an overseas collectivity of France in the West Indies. Often abbreviated to \"St-Barth\" in French, and St. Barths or St. Barts in English, the island lies about southeast of St. Martin and north of St. Kitts. Puerto Rico is to the west in the Greater Antilles. \n\nSaint Barthélemy was for many years a French commune forming part of Guadeloupe, which is an overseas region and department of France. In 2003, the island voted in favour of secession from Guadeloupe in order to form a separate overseas collectivity (COM) of France. The collectivity is one of four territories among the Leeward Islands in the northeastern Caribbean that comprise the French West Indies, along with Saint Martin, Guadeloupe ( southeast), and Martinique. \n\nSaint Barthélemy, a volcanic island fully encircled by shallow reefs, has an area of and a population of 9,278 (Jan. 2013 census). Its capital is Gustavia, which also contains the main harbour to the island. It is the only Caribbean island which was a Swedish colony for any significant length of time; Guadeloupe was under Swedish rule only briefly at the end of the Napoleonic Wars. Symbolism from the Swedish national arms, the Three Crowns, still appears in the island's coat of arms. The language, cuisine, and culture, however, are distinctly French. The island is a popular tourist destination during the winter holiday season, especially for the rich and famous during the Christmas and new year period.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13716\": \"What is the population of Saint Barth\\u00e9lemy?\"\n },\n {\n \"13717\": \"What happened with it in 2003?\"\n },\n {\n \"13718\": \"What is the official name of Saint Barth\\u00e9lemy?\"\n },\n {\n \"13719\": \"What exactly is it?'\"\n },\n {\n \"13720\": \"What kind of commune was it for many years?\"\n },\n {\n \"13721\": \"How many territories are there in the collectivity?\"\n },\n {\n \"13722\": \"Is Saint Barth\\u00e9lemy an island?\"\n },\n {\n \"13723\": \"What do the natives call it?\"\n },\n {\n \"13724\": \"What is its capital?\"\n },\n {\n \"13725\": \"When do tourists usually go there?\"\n },\n {\n \"13726\": \"And when do the rich and famous go often?\"\n },\n {\n \"13727\": \"What formations encircle the island?\"\n },\n {\n \"13728\": \"What used to be under Swedish rule?\"\n },\n {\n \"13729\": \"What language is spoken there?\"\n },\n {\n \"13730\": \"What Swedish symbolism still appears on the coat of arms?\"\n },\n {\n \"13731\": \"What lies to the west of the island?\"\n },\n {\n \"13732\": \"And what is Puerto Rico in?\"\n },\n {\n \"13733\": \"Is Saint Barth\\u00e9lemy volcanic?\"\n },\n {\n \"13734\": \"Where is its main harbour?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13716\",\n \"answer\": \"9,278\"\n },\n {\n \"question_id\": \"13717\",\n \"answer\": \"the island voted in favour of secession\"\n },\n {\n \"question_id\": \"13718\",\n \"answer\": \"the Territorial collectivity of Saint-Barth\\u00e9lemy\"\n },\n {\n \"question_id\": \"13719\",\n \"answer\": \"an overseas collectivity of France\"\n },\n {\n \"question_id\": \"13720\",\n \"answer\": \"French\"\n },\n {\n \"question_id\": \"13721\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"13722\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13723\",\n \"answer\": \"Ouanalao\"\n },\n {\n \"question_id\": \"13724\",\n \"answer\": \"Gustavia\"\n },\n {\n \"question_id\": \"13725\",\n \"answer\": \"the winter holiday season\"\n },\n {\n \"question_id\": \"13726\",\n \"answer\": \"during the Christmas and new year period.\"\n },\n {\n \"question_id\": \"13727\",\n \"answer\": \"shallow reefs\"\n },\n {\n \"question_id\": \"13728\",\n \"answer\": \"Guadeloupe\"\n },\n {\n \"question_id\": \"13729\",\n \"answer\": \"French.\"\n },\n {\n \"question_id\": \"13730\",\n \"answer\": \"the Three Crowns\"\n },\n {\n \"question_id\": \"13731\",\n \"answer\": \"Puerto Rico\"\n },\n {\n \"question_id\": \"13732\",\n \"answer\": \"the Greater Antilles.\"\n },\n {\n \"question_id\": \"13733\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13734\",\n \"answer\": \"Gustavia\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Before forming Queen, Brian May and Roger Taylor had played together in a band named Smile. Freddie Mercury (then known by his birth name of Farrokh \"Freddie\" Bulsara) was a fan of Smile and encouraged them to experiment with more elaborate stage and recording techniques. Mercury joined the band in 1970, suggested \"Queen\" as a new band name, and adopted his familiar stage name. John Deacon was recruited prior to recording their eponymous debut album in 1973. Queen first charted in the UK with their second album, Queen II, in 1974, but it was the release of Sheer Heart Attack later that year and A Night at the Opera in 1975 which brought them international success. The latter featured \"Bohemian Rhapsody\", which stayed at number one in the UK for nine weeks and popularised the music video. Their 1977 album, News of the World, contained \"We Will Rock You\" and \"We Are the Champions\", which have become anthems at sporting events. By the early 1980s, Queen were one of the biggest stadium rock bands in the world. Their performance at 1985's Live Aid is ranked among the greatest in rock history by various music publications, with a 2005 industry poll ranking it the best. In 1991, Mercury died of bronchopneumonia, a complication of AIDS, and Deacon retired in 1997. Since then, May and Taylor have occasionally performed together, including with Paul Rodgers (2004–09) and with Adam Lambert (since 2011). In November 2014, Queen released a new album, Queen Forever, featuring vocals from the late Mercury.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94169\": \"What was their band earlier?\"\n },\n {\n \"94170\": \"Now what?\"\n },\n {\n \"94171\": \"When did Mercury start with them?\"\n },\n {\n \"94172\": \"What was his real name?\"\n },\n {\n \"94173\": \"Who suggested the new name?\"\n },\n {\n \"94174\": \"What is the name?\"\n },\n {\n \"94175\": \"Who joined them next?\"\n },\n {\n \"94176\": \"What was their first chart in UK?\"\n },\n {\n \"94177\": \"Which year was that?\"\n },\n {\n \"94178\": \"What was their first international success?\"\n },\n {\n \"94179\": \"In which year?\"\n },\n {\n \"94180\": \"Was there a specific track mentionable?\"\n },\n {\n \"94181\": \"What was its success?\"\n },\n {\n \"94182\": \"Did they do well in any other format?\"\n },\n {\n \"94183\": \"Are there any examples?\"\n },\n {\n \"94184\": \"What was their achievement in the 80s?\"\n },\n {\n \"94185\": \"Any example?\"\n },\n {\n \"94186\": \"How it is ranked?\"\n },\n {\n \"94187\": \"What happened to Mercury?\"\n },\n {\n \"94188\": \"How about Deacon?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94169\",\n \"answer\": \"Smile\"\n },\n {\n \"question_id\": \"94170\",\n \"answer\": \"Queen\"\n },\n {\n \"question_id\": \"94171\",\n \"answer\": \"1970\"\n },\n {\n \"question_id\": \"94172\",\n \"answer\": \"Farrokh Bulsara\"\n },\n {\n \"question_id\": \"94173\",\n \"answer\": \"Mercury\"\n },\n {\n \"question_id\": \"94174\",\n \"answer\": \"Queen\"\n },\n {\n \"question_id\": \"94175\",\n \"answer\": \"John Deacon\"\n },\n {\n \"question_id\": \"94176\",\n \"answer\": \"Queen II\"\n },\n {\n \"question_id\": \"94177\",\n \"answer\": \"1974\"\n },\n {\n \"question_id\": \"94178\",\n \"answer\": \"A Night at the Opera\"\n },\n {\n \"question_id\": \"94179\",\n \"answer\": \"1975\"\n },\n {\n \"question_id\": \"94180\",\n \"answer\": \"Bohemian Rhapsody\"\n },\n {\n \"question_id\": \"94181\",\n \"answer\": \"number one in the UK for nine weeks\"\n },\n {\n \"question_id\": \"94182\",\n \"answer\": \"music videos\"\n },\n {\n \"question_id\": \"94183\",\n \"answer\": \"Bohemian Rhapsody\"\n },\n {\n \"question_id\": \"94184\",\n \"answer\": \"one of the biggest stadium rock bands in the world.\"\n },\n {\n \"question_id\": \"94185\",\n \"answer\": \"1985's Live Aid\"\n },\n {\n \"question_id\": \"94186\",\n \"answer\": \"a 2005 industry poll ranking it the best.\"\n },\n {\n \"question_id\": \"94187\",\n \"answer\": \"died of bronchopneumonia\"\n },\n {\n \"question_id\": \"94188\",\n \"answer\": \"He retired\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- She's only 23, but Deepika Padukone is already living a life millions would envy. \n\nFrom calendar model to Bollywood big-time: Deepika Padukone. \n\nThe model-turned-actress was spotted in a music video and then cast in one of the biggest grossing films in Bollywood history. She still only has three movies under her belt, but star status has already been bestowed upon her. \n\nWith no family connections to the film industry and not being from Mumbai, Padukone traveled a route to movie stardom millions could only dream of. \n\nAfter deciding to become a model at the age of 16, she was picked out of a music video by acclaimed director Farah Khan and cast in her next film opposite Shahrukh Khan. \"Om Shanti Om\" went on to become not only a hit in India, but also gained wider acclaim among western audiences. \n\n\"I completely didn't expect it. When I met Farah I thought she was joking. And at that point it seemed too good to be true. Shahrukh is someone who I've grown up watching, and I didn't think that I deserve being a part of such a huge film. It's only later, when I met Shahrukh and when things actually started happening, when I realized that this is for real,\" she told CNN. \n\nDespite her meteoric rise to fame and work on some big budget films she believes she's learning the job of being an A-list Bollywood actress. \n\n\"I had great debut, a successful film, but after that...I would think it's quite difficult to choose the right film. You never know what's right and what's wrong,\" she said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11404\": \"How old is she?\"\n },\n {\n \"11405\": \"Who is the article about\"\n },\n {\n \"11406\": \"What is her occupation?\"\n },\n {\n \"11407\": \"What did she act in?\"\n },\n {\n \"11408\": \"Was it a flop?\"\n },\n {\n \"11409\": \"How many movies has she been in\"\n },\n {\n \"11410\": \"Does she have family connections in film?\"\n },\n {\n \"11411\": \"Where was she first spotted?\"\n },\n {\n \"11412\": \"How old was she?\"\n },\n {\n \"11413\": \"Did she expect this?\"\n },\n {\n \"11414\": \"Who did she interview?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11404\",\n \"answer\": \"23\"\n },\n {\n \"question_id\": \"11405\",\n \"answer\": \"Deepika Padukone\"\n },\n {\n \"question_id\": \"11406\",\n \"answer\": \"The model-turned-actress\"\n },\n {\n \"question_id\": \"11407\",\n \"answer\": \"\\\"Om Shanti Om\\\"\"\n },\n {\n \"question_id\": \"11408\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"11409\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"11410\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"11411\",\n \"answer\": \"music video\"\n },\n {\n \"question_id\": \"11412\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"11413\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"11414\",\n \"answer\": \"CNN\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Roaring Twenties was the period of Western society and Western culture that occurred during and around the 1920s. It was a period of sustained economic prosperity with a distinctive cultural edge in the United States and Western Europe, particularly in major cities such as Berlin, Chicago, London, Los Angeles, New York City, Paris, and Sydney. In the French Third Republic, the decade was known as the \"\"années folles\"\" (\"Crazy Years\"), emphasizing the era's social, artistic and cultural dynamism. Jazz music blossomed, the flapper redefined the modern look for British and American women, and Art Deco peaked. Not everything roared: in the wake of the hyper-emotional patriotism of World War I, Warren G. Harding brought back normalcy to the politics of the United States. This era saw the large-scale use of automobiles, telephones, motion pictures, radio, and electric appliances. Aviation became a business. The economies saw rapid industrial growth, accelerated consumer demand, plus significant changes in lifestyle and culture. The media focused on celebrities, especially sports heroes and movie stars, as cities rooted for their home teams and filled the new palatial cinemas and gigantic sports stadiums. In most major democratic states, women won the right to vote. \n\nThe social and cultural features known as the Roaring Twenties began in leading metropolitan centers, then spread widely in the aftermath of World War I. The United States gained dominance in world finance. Thus, when Germany could no longer afford to pay World War I reparations to the United Kingdom, France and the other Allied Powers, the United States came up with the Dawes Plan; named after banker, and later 30th Vice President Charles G. Dawes, respectively. Wall Street invested heavily in Germany, which repaid its reparations to countries that, in turn, used the dollars to pay off their war debts to Washington. By the middle of the decade, prosperity was widespread, with the second half of the decade known, especially in Germany, as the \"Golden Twenties\".\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26436\": \"What important world event did the roaring twenties occur in the wake of?\"\n },\n {\n \"26437\": \"Did Germany benefit during this period?\"\n },\n {\n \"26438\": \"What became an industry in this time?\"\n },\n {\n \"26439\": \"What musical genre became popular?\"\n },\n {\n \"26440\": \"What seemed to be the only thing that receded during the era?\"\n },\n {\n \"26441\": \"What fashion statement became more common?\"\n },\n {\n \"26442\": \"What group did television often focus on?\"\n },\n {\n \"26443\": \"Anyone else?\"\n },\n {\n \"26444\": \"Who gained suffrage?\"\n },\n {\n \"26445\": \"Where did it originate?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26436\",\n \"answer\": \"World War I.\"\n },\n {\n \"question_id\": \"26437\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26438\",\n \"answer\": \"Aviation\"\n },\n {\n \"question_id\": \"26439\",\n \"answer\": \"Jazz\"\n },\n {\n \"question_id\": \"26440\",\n \"answer\": \"American politics\"\n },\n {\n \"question_id\": \"26441\",\n \"answer\": \"Flapper\"\n },\n {\n \"question_id\": \"26442\",\n \"answer\": \"Celebrities\"\n },\n {\n \"question_id\": \"26443\",\n \"answer\": \"Sports heroes and movie stars\"\n },\n {\n \"question_id\": \"26444\",\n \"answer\": \"Women\"\n },\n {\n \"question_id\": \"26445\",\n \"answer\": \"Leading metropolitan centers\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Princeton University Press is an independent publisher with close connections to Princeton University. Its mission is to disseminate scholarship within academia and society at large. \n\nThe press was founded by Whitney Darrow, with the financial support of Charles Scribner, as a printing press to serve the Princeton community in 1905. Its distinctive building was constructed in 1911 on William Street in Princeton. Its first book was a new 1912 edition of John Witherspoon's \"Lectures on Moral Philosophy.\" \n\nPrinceton University Press was founded in 1905 by a recent Princeton graduate, Whitney Darrow, with financial support from another Princetonian, Charles Scribner II. Darrow and Scribner purchased the equipment and assumed the operations of two already existing local publishers, that of the \"Princeton Alumni Weekly\" and the Princeton Press. The new press printed both local newspapers, university documents, \"The Daily Princetonian\", and later added book publishing to its activities. Beginning as a small, for-profit printer, Princeton University Press was reincorporated as a nonprofit in 1910. Since 1911, the press has been headquartered in a purpose-built gothic-style building designed by Ernest Flagg. The design of press’s building, which was named the Scribner Building in 1965, was inspired by the Plantin-Moretus Museum, a printing museum in Antwerp, Belgium. Princeton University Press established a European office, in Woodstock, England, north of Oxford, in 1999, and opened an additional office, in Beijing, in early 2017. Six books from Princeton University Press have won Pulitzer Prizes:\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66028\": \"What press is this passage talking about?\"\n },\n {\n \"66029\": \"Does it have close connection to the university?\"\n },\n {\n \"66030\": \"What is its mission?\"\n },\n {\n \"66031\": \"WHat year was its building constructed in?\"\n },\n {\n \"66032\": \"On what street?\"\n },\n {\n \"66033\": \"It was founded by who?\"\n },\n {\n \"66034\": \"and who helped financially?\"\n },\n {\n \"66035\": \"It was founded to do what?\"\n },\n {\n \"66036\": \"When was it a non profit, what year?\"\n },\n {\n \"66037\": \"What was its design named?\"\n },\n {\n \"66038\": \"in what year?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66028\",\n \"answer\": \"Princeton University Press\"\n },\n {\n \"question_id\": \"66029\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"66030\",\n \"answer\": \"to disseminate scholarship\"\n },\n {\n \"question_id\": \"66031\",\n \"answer\": \"1911\"\n },\n {\n \"question_id\": \"66032\",\n \"answer\": \"William Street\"\n },\n {\n \"question_id\": \"66033\",\n \"answer\": \"Whitney Darrow\"\n },\n {\n \"question_id\": \"66034\",\n \"answer\": \"Charles Scribner\"\n },\n {\n \"question_id\": \"66035\",\n \"answer\": \"to serve the Princeton community\"\n },\n {\n \"question_id\": \"66036\",\n \"answer\": \"1910\"\n },\n {\n \"question_id\": \"66037\",\n \"answer\": \"the Scribner Building\"\n },\n {\n \"question_id\": \"66038\",\n \"answer\": \"1965\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Who doesn't love a good holiday-themed episode? \n\nBefore our favorite TV characters put their turkeys in the oven, decorate their Christmas trees and light their menorahs, they'll dress up in funny costumes and beg for candy ... or mercy. \n\nKicking off prime time's Halloween celebration is ABC Family's \"Pretty Little Liars,\" which will air its second annual Halloween special on Tuesday at 8 p.m. \n\nWe can't wait to see how \"A\" will terrorize Aria, Hanna, Emily and Spencer aboard Rosewood's Halloween Ghost Train. \n\nOn a lighter note, \"The Mindy Project\" will air its Halloween episode, complete with hilarious costumes and an equally hilarious guest star, Bill Hader, at 9:30 p.m. \n\nMindy Kaling, the creator and star of the Fox sitcom, said her character will have \"five or six costume changes\" throughout the episode, and \"they're not sexy, hot girl costumes.\" \n\nHere are some other special Halloween episodes to look for: \n\nWednesday \n\n\"Modern Family\": Claire likes her Halloween gory, but she's forced to keep things PG this year. Speaking of parental guidance, Lily probes Mitch and Cam to find out who her real mom is. 9 p.m. on ABC \n\n\"Suburgatory\": Tessa, Lisa, Malik and Ryan have a \"Scooby-Doo\"-themed Halloween. 9:30 p.m. on ABC \n\n\"The Neighbors\": The Weavers get ready for their first Halloween in the suburbs. 8:30 p.m. on ABC \n\n\"The Middle\": The episode, appropriately titled \"Halloween III: The Driving,\" follows Sue as she injures Axl while learning how to drive. Brick, meanwhile, eats too much candy. 8 pm. on ABC \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57774\": \"Which show starts the tv holiday theme?\"\n },\n {\n \"57775\": \"When does it air?\"\n },\n {\n \"57776\": \"What time?\"\n },\n {\n \"57777\": \"What network?\"\n },\n {\n \"57778\": \"Are there others being aired after that?\"\n },\n {\n \"57779\": \"Which one is first?\"\n },\n {\n \"57780\": \"What is that episode titled?\"\n },\n {\n \"57781\": \"Is there something else about it that is related to Halloween besides the title?\"\n },\n {\n \"57782\": \"What is it?\"\n },\n {\n \"57783\": \"Is Mindy Kaling's show airing?\"\n },\n {\n \"57784\": \"Will she have someone doing a cameo?\"\n },\n {\n \"57785\": \"Who?\"\n },\n {\n \"57786\": \"What time will it air?\"\n },\n {\n \"57787\": \"Is there something Halloween related too?\"\n },\n {\n \"57788\": \"What?\"\n },\n {\n \"57789\": \"What kind?\"\n },\n {\n \"57790\": \"Is there going to be a show that is themed after a cartoon?\"\n },\n {\n \"57791\": \"What show?\"\n },\n {\n \"57792\": \"What cartoon is it going to parody?\"\n },\n {\n \"57793\": \"What time is it showing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57774\",\n \"answer\": \"Pretty Little Liars\"\n },\n {\n \"question_id\": \"57775\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"57776\",\n \"answer\": \"8 p.m.\"\n },\n {\n \"question_id\": \"57777\",\n \"answer\": \"ABC\"\n },\n {\n \"question_id\": \"57778\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57779\",\n \"answer\": \"The Middle\"\n },\n {\n \"question_id\": \"57780\",\n \"answer\": \"Halloween III: The Driving\"\n },\n {\n \"question_id\": \"57781\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57782\",\n \"answer\": \"Brick eats too much candy\"\n },\n {\n \"question_id\": \"57783\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57784\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57785\",\n \"answer\": \"Bill Hader\"\n },\n {\n \"question_id\": \"57786\",\n \"answer\": \"9:30 p.m.\"\n },\n {\n \"question_id\": \"57787\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57788\",\n \"answer\": \"her character will have \\\"five or six costume changes\\\"\"\n },\n {\n \"question_id\": \"57789\",\n \"answer\": \"not sexy, hot girl costumes\"\n },\n {\n \"question_id\": \"57790\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57791\",\n \"answer\": \"Suburgatory\"\n },\n {\n \"question_id\": \"57792\",\n \"answer\": \"Scooby-Doo\"\n },\n {\n \"question_id\": \"57793\",\n \"answer\": \"9:30 p.m.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n At just six years old, Joey Kilpatrick is Australia's unofficial hide-and-seek champion after he hid in a bedroom cupboard for eight hours while playing his favorite game,causing a big rescue operation. The determined little boy's disappearing act led to a careful search, including nice police officers, five State Emergency Service volunteers, tracker dogs and almost all of the people of the town of Goombungee. His mother, Chris, says she called the police when Joey disappeared one afternoon after telling his older brother, Lachlan, 14, that he was off to play hide-and-seek. \"I called the two boys for dinner,\" Chris says. \"After about 20 minutes I started to worry, I was shouting to Joey, 'OK, we can't find you, time to come out!'\" But there was no sign of her little boy. Within minutes of Chris calling the police, the policemen started one of the biggest ground searches in the town's history. \"I was really frightened. I rang my husband, Kris, who works out of town, and he immediately hit the road, calling me every 10 minutes.\" Chris recalls.\"They searched the house from top to bottom; everyone was out looking for him. When a neighbor asked if I'd checked the water tank, that's when reality hit. I was afraid.\" After hours of searching the town, confused police decided to search the house one more time. \"I just sat there waiting,\" Chris says, \"Then a strange feeling came over me, and I rushed into the bedroom and put my hand on a pile of blankets in the cupboard. As I pulled then out,there he was---asleep and completely not realizing what was going on! I've never held him in my arms so hard.\" Senior officer, Chris Brameld,from Goombungee police,says he is glad that Joey's game had a happy ending: \"When we realized he was safe, we agreed that it didn't get much better than that!\" And young Joey promises that next time he won't be so intent on finding the best hiding place. \"I want to say sorry to the policemen and to Mummy for scaring them,\" he says, \"I promise next time I'll hide where they can find me and I won't fall asleep!\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80029\": \"What is Joey the champion of?\"\n },\n {\n \"80030\": \"where?\"\n },\n {\n \"80031\": \"Who called the police?\"\n },\n {\n \"80032\": \"Who is she?\"\n },\n {\n \"80033\": \"Why did she call the police?\"\n },\n {\n \"80034\": \"Why was she looking for him?\"\n },\n {\n \"80035\": \"How long did it take her to get concerned?\"\n },\n {\n \"80036\": \"Where did he say he would be?\"\n },\n {\n \"80037\": \"who did he tell?\"\n },\n {\n \"80038\": \"Who is that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80029\",\n \"answer\": \"hide-and-seek\"\n },\n {\n \"question_id\": \"80030\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"80031\",\n \"answer\": \"Chris\"\n },\n {\n \"question_id\": \"80032\",\n \"answer\": \"His mother\"\n },\n {\n \"question_id\": \"80033\",\n \"answer\": \"Joey disappeared\"\n },\n {\n \"question_id\": \"80034\",\n \"answer\": \"it was time for dinner\"\n },\n {\n \"question_id\": \"80035\",\n \"answer\": \"20 minutes\"\n },\n {\n \"question_id\": \"80036\",\n \"answer\": \"playing hide-and-seek.\"\n },\n {\n \"question_id\": \"80037\",\n \"answer\": \"Lachlan\"\n },\n {\n \"question_id\": \"80038\",\n \"answer\": \"his brother\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nHe was a fellow in a peasant's garb; Yet one could censure you a woodcock's carving. Like any courtier at the ordinary. --THE ORDINARY. \n\nThe person who appeared at the door of the little inn to receive Ganlesse, as we mentioned in our last chapter, sung, as he came forward, this scrap of an old ballad,-- \n\n\"Good even to you, Diccon; And how have you sped; Bring you the bonny bride To banquet and bed?\" \n\nTo which Ganlesse answered, in the same tone and tune,-- \n\n\"Content thee, kind Robin; He need little care, Who brings home a fat buck Instead of a hare.\" \n\n\"You have missed your blow, then?\" said the other, in reply. \n\n\"I tell you I have not,\" answered Ganlesse; \"but you will think of nought but your own thriving occupation--May the plague that belongs to it stick to it! though it hath been the making of thee.\" \n\n\"A man must live, Diccon Ganlesse,\" said the other. \n\n\"Well, well,\" said Ganlesse, \"bid my friend welcome, for my sake. Hast thou got any supper?\" \n\n\"Reeking like a sacrifice--Chaubert has done his best. That fellow is a treasure! give him a farthing candle, and he will cook a good supper out of it.--Come in, sir. My friend's friend is welcome, as we say in my country.\" \n\n\"We must have our horses looked to first,\" said Peveril, who began to be considerably uncertain about the character of his companions--\"that done, I am for you.\" \n\nGanlesse gave a second whistle; a groom appeared, who took charge of both their horses, and they themselves entered the inn. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52077\": \"Who came to the door?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52077\",\n \"answer\": \"Diccon\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Flea and the rest of Red Hot Chili Peppers will jump on to the stage, compliments of fellow performer Bruno Mars, at next month's Super Bowl halftime show. \n\nThe news was announced Saturday during Fox's coverage of an NFC divisional playoff game. \n\nMars, a Grammy-winning pop singer, invited the Chili Peppers to join him for the Super Bowl XLVIII festivities on February 2 at MetLife Stadium in East Rutherford, New Jersey. \n\n\"One of the most successful acts in rock history, Red Hot Chili Peppers, which is singer Anthony Kiedis, bassist Flea, drummer, Chad Smith, and guitarist Josh Klinghoffer, have sold more than 60 million albums, including five multi-platinum LPs, and won six Grammy Awards,\" the NFL said in a press release. \n\nTheir hit songs include \"Give It Away,\" \"Scar Tissue,\" \"Californication\" and \"Suck My Kiss.\" \n\nKiedis and Flea, born Michael Balzary, are more than 20 years older than Mars. Their band has pioneered a bold style of rock infused with funk and rap. \n\nHis 50th birthday bash in October 2012 gave Flea time to take stock of his life, he told CNN. \n\n\"I'm definitely wiser, and less likely to make gigantic blunders of an intellectual, spiritual, emotional or physical type,\" he said. \"... But more than anything the passion for the things that I really care about like playing music, and being kind, and children, and the things I love -- sports, books, art -- my passion for all these things has deepened.\" \n\nExpectations for Super Bowl halftime performances are always high. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52576\": \"Who is the main act for Superbowl XLVIII?\"\n },\n {\n \"52577\": \"Who did invite to perform with him?\"\n },\n {\n \"52578\": \"Who is their lead vocalist?\"\n },\n {\n \"52579\": \"Who plays the bass for them?\"\n },\n {\n \"52580\": \"Who is Chad Smith?\"\n },\n {\n \"52581\": \"And who plays guitar for the Chili Peppers?\"\n },\n {\n \"52582\": \"Are they a successful act?\"\n },\n {\n \"52583\": \"What genre of music do they play?\"\n },\n {\n \"52584\": \"How many records have been purchased?\"\n },\n {\n \"52585\": \"Have they earned any Grammys?\"\n },\n {\n \"52586\": \"How many?\"\n },\n {\n \"52587\": \"How many?\"\n },\n {\n \"52588\": \"What was one name of a top song?\"\n },\n {\n \"52589\": \"Another?\"\n },\n {\n \"52590\": \"What is Flea's real name?\"\n },\n {\n \"52591\": \"How old is he?\"\n },\n {\n \"52592\": \"Are people excited for the performance?\"\n },\n {\n \"52593\": \"Where is the Superbowl being played?\"\n },\n {\n \"52594\": \"Which is where, exactly?\"\n },\n {\n \"52595\": \"When was this information broadcasted?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52576\",\n \"answer\": \"Bruno Mars\"\n },\n {\n \"question_id\": \"52577\",\n \"answer\": \"The Red Hot Chili Peppers\"\n },\n {\n \"question_id\": \"52578\",\n \"answer\": \"Anthony Kiedis\"\n },\n {\n \"question_id\": \"52579\",\n \"answer\": \"Flea\"\n },\n {\n \"question_id\": \"52580\",\n \"answer\": \"The drummer\"\n },\n {\n \"question_id\": \"52581\",\n \"answer\": \"Josh Klinghoffer\"\n },\n {\n \"question_id\": \"52582\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52583\",\n \"answer\": \"Rock\"\n },\n {\n \"question_id\": \"52584\",\n \"answer\": \"More than 60 million\"\n },\n {\n \"question_id\": \"52585\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52586\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"52587\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"52588\",\n \"answer\": \"Give It Away\"\n },\n {\n \"question_id\": \"52589\",\n \"answer\": \"Californication\"\n },\n {\n \"question_id\": \"52590\",\n \"answer\": \"Michael Balzary\"\n },\n {\n \"question_id\": \"52591\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"52592\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52593\",\n \"answer\": \"MetLife Stadium\"\n },\n {\n \"question_id\": \"52594\",\n \"answer\": \"East Rutherford, New Jersey.\"\n },\n {\n \"question_id\": \"52595\",\n \"answer\": \"During Fox's coverage of an NFC divisional playoff game.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVII \n\n\"Well!\" \n\nReist unfastened his sword. The State uniform of the Thetian Guards was cumbersome, and the day was hot. \n\n\"Let Basil bring me wine,\" he ordered. \"The cathedral was a furnace. Everywhere the air seems hot with the shouting of the people.\" \n\n\"Up here,\" Marie said, \"the clamour of voices has seemed incessant. I have never heard anything like it.\" \n\nHe walked up and down moodily. He was not sure whether the day had gone according to his liking. All the time her eyes questioned him. \n\n\"One thing,\" he declared, \"is certain. Never again will a republic exist in Theos. Two generations of _roués_ and madmen have not sickened this people of the House of Tyrnaus. Their loyalty is amazing.\" \n\n\"This man,\" she said, \"is neither _roué_ nor madman.\" \n\n\"It is true,\" he admitted. \n\nHe drank his wine, and as he set the glass down he felt her watching him. He understood the unspoken question in her deep, blue eyes. \n\n\"Of his betrothal,\" Reist said, slowly, \"there was no word.\" \n\nShe drew herself up haughtily, a slim, stately figure in her magnificent white dress, caught up with jewels, and the curious bejewelled head-dress which in Theos was the symbol of her rank. Yet Nicholas, who watched her closely, caught the gleam of something in her eyes which surprised him. It was more like relief than anger. \n\n\"Was our ancient usage explained to him?\" she asked. \n\n\"Yes! I told him that an unmarried king was contrary to the time-sanctioned custom of our country. I told him that the announcement of his betrothal should be made at the moment of his coronation. The people expected it, and it would add immensely to his popularity.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26444\": \"What chapter is this?\"\n },\n {\n \"26445\": \"Who was wearing military gear to start?\"\n },\n {\n \"26446\": \"How was the weather?\"\n },\n {\n \"26447\": \"What does he want from Basil?\"\n },\n {\n \"26448\": \"Who is he talking to?\"\n },\n {\n \"26449\": \"Was he happy?\"\n },\n {\n \"26450\": \"What did he feel would not occur in Theos again?\"\n },\n {\n \"26451\": \"What did he think was amazing of the folk there?\"\n },\n {\n \"26452\": \"Does he ever get the wine?\"\n },\n {\n \"26453\": \"What color are Marie's eyes?\"\n },\n {\n \"26454\": \"And her outfit?\"\n },\n {\n \"26455\": \"When did he feel the engagement should be announced?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26444\",\n \"answer\": \"CHAPTER XVII\"\n },\n {\n \"question_id\": \"26445\",\n \"answer\": \"Reist\"\n },\n {\n \"question_id\": \"26446\",\n \"answer\": \"hot\"\n },\n {\n \"question_id\": \"26447\",\n \"answer\": \"wine\"\n },\n {\n \"question_id\": \"26448\",\n \"answer\": \"Marie\"\n },\n {\n \"question_id\": \"26449\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26450\",\n \"answer\": \"a republic\"\n },\n {\n \"question_id\": \"26451\",\n \"answer\": \"Their loyalty\"\n },\n {\n \"question_id\": \"26452\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26453\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"26454\",\n \"answer\": \"white\"\n },\n {\n \"question_id\": \"26455\",\n \"answer\": \"at the moment of the king's coronation\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Juan and Amy were happy because they were going to help their mom make a cake. They were making the cake for their dad who was returning from a long trip. Amy thought about all the things she wanted to do with her dad when he got back. They would go to the park and he could push her on the swing then they could take their dog for a walk and have a long talk like they used to do. Juan was also thinking about all the things he and his dad could do when he got back. Maybe they could all go to the river like last year and his dad could teach him how to skip stones across the river. They could share hotdogs like last year too. \"What are you two doing in here?\" Their mom asked. \"We are waiting to help you with Dad's cake.\" Juan said. \"Okay, you two get out the yogurt for the frosting and I am going to start the oven to get it warmer.\" \"Oh no! I spilled the punch when Juan was closing the door.\" Amy cried. \"It is okay we can clean that up in no time.\" Juan said and grabbed the paper towels. Just as their mom was mixing the cake ingredients Juan and Amy heard their dog bark. \"Mom! The dog is barking someone is here.\" Juan said. \"Well your dad is not going to be here until this afternoon. You two wait here.\" She said and walked out of the kitchen. Her husband opened the door and smiled at her. She hugged him and they walked into the kitchen together. \"Daddy!\" Juan and Amy shouted and ran to hug him. \"I missed you guys so I left early.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17462\": \"Who was happy?\"\n },\n {\n \"17463\": \"Why were they happy?\"\n },\n {\n \"17464\": \"For what occasion?\"\n },\n {\n \"17465\": \"What ingredient was used in the frosting?\"\n },\n {\n \"17466\": \"What did Amy spill?\"\n },\n {\n \"17467\": \"Who cleaned it up?\"\n },\n {\n \"17468\": \"What did he use?\"\n },\n {\n \"17469\": \"What happened while the cake as being mixed?\"\n },\n {\n \"17470\": \"Was it barking at the mailman?\"\n },\n {\n \"17471\": \"What caused the barking?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17462\",\n \"answer\": \"Juan and Amy\"\n },\n {\n \"question_id\": \"17463\",\n \"answer\": \"they were going to help their mom make a cake\"\n },\n {\n \"question_id\": \"17464\",\n \"answer\": \"their dad was returning from a long trip\"\n },\n {\n \"question_id\": \"17465\",\n \"answer\": \"yogurt\"\n },\n {\n \"question_id\": \"17466\",\n \"answer\": \"the punch\"\n },\n {\n \"question_id\": \"17467\",\n \"answer\": \"Juan\"\n },\n {\n \"question_id\": \"17468\",\n \"answer\": \"paper towels\"\n },\n {\n \"question_id\": \"17469\",\n \"answer\": \"they heard the dog bark\"\n },\n {\n \"question_id\": \"17470\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17471\",\n \"answer\": \"Their dad was 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 Dixon, Illinois (CNN) -- William Heirens, the \"Lipstick Killer,\" is believed to be the longest-serving inmate in the United States. He turns 81 on November 15. \n\nDiabetes has ravaged his body, but his mind is sharp. \n\n\"Bill's never allowed himself to be institutionalized,\" said Dolores Kennedy, his long-time friend and advocate. \"He's kept himself focused on the positives.\" \n\nThe days are spent mostly watching television and reading magazines. Using a wheelchair and sharing a cell with a roommate in the health unit of Dixon Correctional Center, he still yearns for a chance at freedom. It is something he has not tasted since 1946. \n\nHeirens has been locked behind bars and walls for 63 years, making inmate C06103 the longest-serving prisoner in Illinois history, state officials say. \n\nAccording to Steven Drizin, the legal director of the Center on Wrongful Convictions at Northwestern University, Heirens \"has served longer than anyone in the U.S. that I can find.\" \n\nHe was put away a year after the end of World War II. It is a dubious record, but fitting for the man dubbed the Lipstick Killer, whose crime spree remains among the most infamous in the history of Chicago, the city of Capone and Leopold and Loeb. \n\nThe scar-faced gangster and the thrill-kill pair are long gone. Heirens, however, has not slipped into the past. He lives in the present and hopes for a future outside prison. Supporters have championed his cause, convinced that he is innocent, or arguing that he has been rehabilitated, a model inmate who has served his sentence. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80476\": \"Who is the person who has been in prison the longest in the US?\"\n },\n {\n \"80477\": \"What is he known as?\"\n },\n {\n \"80478\": \"How old is he?\"\n },\n {\n \"80479\": \"Does he have any diseases?\"\n },\n {\n \"80480\": \"how long has he been imprisoned?\"\n },\n {\n \"80481\": \"In what State?\"\n },\n {\n \"80482\": \"When was he jailed?\"\n },\n {\n \"80483\": \"What other criminals are famous in Chicago?\"\n },\n {\n \"80484\": \"Is anyone pleaded for his release?\"\n },\n {\n \"80485\": \"What is one reason why?\"\n },\n {\n \"80486\": \"and other reason?\"\n },\n {\n \"80487\": \"When is his birthday\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80476\",\n \"answer\": \"William Heirens\"\n },\n {\n \"question_id\": \"80477\",\n \"answer\": \"\\\"Lipstick Killer\\\"\"\n },\n {\n \"question_id\": \"80478\",\n \"answer\": \"81\"\n },\n {\n \"question_id\": \"80479\",\n \"answer\": \"Diabetes\"\n },\n {\n \"question_id\": \"80480\",\n \"answer\": \"for 63 years\"\n },\n {\n \"question_id\": \"80481\",\n \"answer\": \"Illinois\"\n },\n {\n \"question_id\": \"80482\",\n \"answer\": \"a year after the end of World War II\"\n },\n {\n \"question_id\": \"80483\",\n \"answer\": \"Capone and Leopold and Loeb\"\n },\n {\n \"question_id\": \"80484\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"80485\",\n \"answer\": \"he is innocent\"\n },\n {\n \"question_id\": \"80486\",\n \"answer\": \"has been rehabilitated\"\n },\n {\n \"question_id\": \"80487\",\n \"answer\": \"November 15\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n It never occurred to Sun Yukun that the decision he made four years ago would have an impact on his career. When the 22-year-old entered college in 2009, he decided not to change his rural residence to a students' collective one. But when he finished college and was offered a job with a state-owned enterprise in Beijing, Sun was told that he couldn't accept the offer unless he had an urban hukou (household registration record). This time, he had no choice but to change his residence status. Transferring hukou to a university became optional in 2003, and many students are confronted with the dilemma of whether to do so or not. Professionals suggest they make the decision based on their current situation and future plans. 'I regret transferring my hukou' Wang Jinbi, 20, is an accounting major at Beijing Union University. Coming from Chifeng, Inner Mongolia autonomous region, she transferred her hukou when she enrolled at university. \"I didn't think it was a big deal,\" Wang says. \"Since I'm registering under an urban hukou, it doesn't matter whether it's in Beijing or Inner Mongolia, I thought.\" What Wang didn't expect, however, is that she would regret her decision later. \"After two years of study, I've figured out my future plans. I want to return to my hometown and make a living there,\" she says. That means Wang needs to transfer her hukou back again, which she worries will be a troublesome procedure. \"I have a friend who graduated last year. She spent a lot of time and energy transferring her hukou back to her hometown again due to complicated paperworks,\" says Wang. Guidelines for transferring hukou Wang's experience is not uncommon. Many students don't know what their decision means for their future. In order to help these students, Xie Yongqiang, from the Chengdu Municipal Bureau of Justice, posted a guideline for transferring hukou on a micro blog. According to Xie, students should firstly think about where they're going to stay. \"If you like the city where you're studying and are considering staying there after graduation, then you should transfer your hukou,\" he wrote. Students should also transfer their hukou if they intend to participate in an exchange program. According to Ju Haojie, deputy director of the household registration department at Shanghai Jiao Tong University, when applying for exchange programs, it saves a lot of trouble if students have a collective hukou registered under the university. But Xie also made suggestions for students with a rural registration. \"If your family has land and a house, it's possible that you'll get a share of compensation in the event of a forced relocation. For those students, I would recommend them not to transfer their hukou,\" he wrote. This doesn't affect students in terms of receiving medical insurance and other benefits at university. 'I want to stay in Beijing' Sometimes, students abandon their rural hukou for the prospect of a better future. Tang Yanwei is one of them. The 23-year-old from Yantai, Shandong province, had a rural hukou but transferred it after enrolling at Beijing University of Civil Engineering and Architecture. Although there are a lot of preferential policies for rural residents, for Tang, an urban hukou in Beijing is attractive. \"I want to stay in Beijing, so a students' collective Beijing urban hukou is a promising start,\" he says. \"I'll do anything that could help me stay here. After all, there's no turning back for me now.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2843\": \"What decision did Sun Yukun make?\"\n },\n {\n \"2844\": \"Was that a good decision for him?\"\n },\n {\n \"2845\": \"Why?\"\n },\n {\n \"2846\": \"Is this an issue for many students?\"\n },\n {\n \"2847\": \"Is it difficult to maintain previous residential status after if you want to move home?\"\n },\n {\n \"2848\": \"What should the decision be based on?\"\n },\n {\n \"2849\": \"Is it optional?\"\n },\n {\n \"2850\": \"Who posted a guideline for transferring?\"\n },\n {\n \"2851\": \"Where?\"\n },\n {\n \"2852\": \"What saves a lot of trouble?\"\n },\n {\n \"2853\": \"According to who?\"\n },\n {\n \"2854\": \"What does he recommend for those that have family with assets?\"\n },\n {\n \"2855\": \"Does it result in loss of benefits?\"\n },\n {\n \"2856\": \"Who is Ju Haojie?\"\n },\n {\n \"2857\": \"Does is effect medical insurance benefits?\"\n },\n {\n \"2858\": \"What do some students abandon for prospects of a better life?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2843\",\n \"answer\": \"he decided not to change his rural residence to a students' collective one\"\n },\n {\n \"question_id\": \"2844\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2845\",\n \"answer\": \"he was offered a job, but couldn't accept unless he had an urban hukou\"\n },\n {\n \"question_id\": \"2846\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2847\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2848\",\n \"answer\": \"student's current situation and future plans\"\n },\n {\n \"question_id\": \"2849\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2850\",\n \"answer\": \"Xie Yongqiang\"\n },\n {\n \"question_id\": \"2851\",\n \"answer\": \"on a micro blog\"\n },\n {\n \"question_id\": \"2852\",\n \"answer\": \"if students have a collective hukou registered under the university when applying for exchange programs\"\n },\n {\n \"question_id\": \"2853\",\n \"answer\": \"Ju Haojie\"\n },\n {\n \"question_id\": \"2854\",\n \"answer\": \"to not transfer their hukou,\"\n },\n {\n \"question_id\": \"2855\",\n \"answer\": \"there are a lot of preferential policies for rural residents\"\n },\n {\n \"question_id\": \"2856\",\n \"answer\": \"deputy director of the household registration department at Shanghai Jiao Tong University\"\n },\n {\n \"question_id\": \"2857\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2858\",\n \"answer\": \"their rural hukou\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Index Medicus (IM) is a curated subset of MEDLINE, which is a bibliographic database of life science and biomedical science information, principally scientific journal articles. From 1879 to 2004, \"Index Medicus\" was a comprehensive bibliographic index of such articles in the form of a print index or (in later years) its onscreen equivalent. It was begun by John Shaw Billings, head of the Library of the Surgeon General's Office, United States Army. This library later evolved into the United States National Library of Medicine (NLM). In the 1960s, the NLM began the indexing work by creating MEDLARS, a bibliographic database, which became MEDLINE. \"Index Medicus\" thus became the print presentation of the MEDLINE database's content, which users accessed usually by visiting a library which subscribed to \"Index Medicus\" (for example, a university scientist at the university library). It continued in this role through the 1980s and 1990s, while various electronic presentations of MEDLINE's content also evolved, first with proprietary online services (accessed mostly at libraries) and later with CD-ROMs, then with Entrez and PubMed. As users gradually migrated from print to online use, \"Index Medicus\" print subscriptions dwindled. During the 1990s, the dissemination of home internet connections, the launch of the Web and web browsers, and the launch of PubMed greatly accelerated the shift of online access to MEDLINE from something one did at the library to something one did anywhere. This dissemination, along with the superior usability of search compared with use of a print index in serving the user's purpose (which is to distill relevant subsets of information from a vast superset), caused the use of MEDLINE's print output, \"Index Medicus\", to drop precipitously. In 2004, print publication ceased. Today, \"Index Medicus\" and \"Abridged Index Medicus\" still exist conceptually as content curation services that curate MEDLINE content into search subsets or database views (in other words, subsets of MEDLINE records from some journals but not others). This filters search results with a view toward excluding poor-quality articles (such as by excluding junk journals), which is often helpful depending on the needs of the user.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55731\": \"What does IM stand for?\"\n },\n {\n \"55732\": \"What is it?\"\n },\n {\n \"55733\": \"When did it begin?\"\n },\n {\n \"55734\": \"When did it end?\"\n },\n {\n \"55735\": \"What was a variable of its decline?\"\n },\n {\n \"55736\": \"Did the web help with the decline?\"\n },\n {\n \"55737\": \"Can IM still be used?\"\n },\n {\n \"55738\": \"Does it encourage badly written articles?\"\n },\n {\n \"55739\": \"What does it exclude?\"\n },\n {\n \"55740\": \"Who started it?\"\n },\n {\n \"55741\": \"Was he in the military?\"\n },\n {\n \"55742\": \"What branch?\"\n },\n {\n \"55743\": \"What was he the leader of?\"\n },\n {\n \"55744\": \"Which later became what?\"\n },\n {\n \"55745\": \"What did it start doing in the sixties?\"\n },\n {\n \"55746\": \"How did people generally access it?\"\n },\n {\n \"55747\": \"How long was it used in this way?\"\n },\n {\n \"55748\": \"What is a new way it was accessed after this time period?\"\n },\n {\n \"55749\": \"Could it be accessed through DVDs or CDs?\"\n },\n {\n \"55750\": \"What came after the ROM's?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55731\",\n \"answer\": \"Index Medicus.\"\n },\n {\n \"question_id\": \"55732\",\n \"answer\": \"A bibliographic database, principally scientific journal articles.\"\n },\n {\n \"question_id\": \"55733\",\n \"answer\": \"1879\"\n },\n {\n \"question_id\": \"55734\",\n \"answer\": \"2004.\"\n },\n {\n \"question_id\": \"55735\",\n \"answer\": \"Users gradually migrated from print to online use,\"\n },\n {\n \"question_id\": \"55736\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55737\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55738\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"55739\",\n \"answer\": \"Poor-quality articles.\"\n },\n {\n \"question_id\": \"55740\",\n \"answer\": \"John Shaw Billings.\"\n },\n {\n \"question_id\": \"55741\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55742\",\n \"answer\": \"United States Army.\"\n },\n {\n \"question_id\": \"55743\",\n \"answer\": \"Head of the Library of the Surgeon General's Office.\"\n },\n {\n \"question_id\": \"55744\",\n \"answer\": \"The United States National Library of Medicine.\"\n },\n {\n \"question_id\": \"55745\",\n \"answer\": \"Began the indexing work by creating MEDLARS, a bibliographic database, which became MEDLINE.\"\n },\n {\n \"question_id\": \"55746\",\n \"answer\": \"Bby visiting a library which subscribed to IM.\"\n },\n {\n \"question_id\": \"55747\",\n \"answer\": \"Through the 1980s and 1990s.\"\n },\n {\n \"question_id\": \"55748\",\n \"answer\": \"Various electronic presentations.\"\n },\n {\n \"question_id\": \"55749\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55750\",\n \"answer\": \"Entrez and PubMed.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- The mother of one of the two New Jersey men arrested last week at a New York airport allegedly on their way to fight with an al Qaeda-affiliated group in Somalia says the two men are guilty of stupidity -- but not of the sinister plan described by authorities. \n\n\"Anything makes him angry. But he's not a terrorist; he's a stupid kid,\" Nadia Alessa said of her U.S.-born son, Mahmood. \n\nMohamed Mahmood Alessa, 20, of North Bergen, New Jersey, and Carlos Eduardo Almonte, 24, of Elmwood Park, New Jersey, are charged with one count each of conspiracy to kill, maim and murder persons outside of the United States, which carries a maximum sentence of life in prison. \n\nThe men, who were taken into custody at John F. Kennedy International Airport on June 5, intended to take separate flights to Egypt on their way to Somalia \"to join designated foreign terrorist organization Al-Shabaab and wage violent jihad,\" according to federal prosecutors. \n\nThe criminal complaint filed in U.S. District Court in Newark alleges that in 2007, Alessa and Almonte traveled together to Jordan, where they intended to enter Iraq to commit violence against U.S. troops there. \n\nNadia Alessa told CNN that her son went to 16 or 17 psychiatrists for what she called \"anger management issues\" that surfaced when he was a boy. He lived at his parents well-kept home, where his angry outbursts were common. \n\nHowever, she said, he wasn't particularly religious. \"He slept late. If he was devout, he would make his prayers on time. He didn't,\" she said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21288\": \"Who is being charged?\"\n },\n {\n \"21289\": \"For what?\"\n },\n {\n \"21290\": \"Where were they planning to do it?\"\n },\n {\n \"21291\": \"Were they both religious?\"\n },\n {\n \"21292\": \"How do we know that?\"\n },\n {\n \"21293\": \"How did she know he wasn't religious?\"\n },\n {\n \"21294\": \"Does she agree that her son is a terrorist?\"\n },\n {\n \"21295\": \"What does she think he is, then?\"\n },\n {\n \"21296\": \"Did he get angry easily?\"\n },\n {\n \"21297\": \"Did he see anyone about anger management?\"\n },\n {\n \"21298\": \"How many people?\"\n },\n {\n \"21299\": \"Were his parents divorced?\"\n },\n {\n \"21300\": \"Abusive?\"\n },\n {\n \"21301\": \"Do we know of anything wrong with his home life?\"\n },\n {\n \"21302\": \"What is his name?\"\n },\n {\n \"21303\": \"His mother's name?\"\n },\n {\n \"21304\": \"The other man's name?\"\n },\n {\n \"21305\": \"When did they try to go join an al Qaeda group?\"\n },\n {\n \"21306\": \"What is the group's name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21288\",\n \"answer\": \"two New Jersey men\"\n },\n {\n \"question_id\": \"21289\",\n \"answer\": \"conspiracy to kill, maim and murder persons outside of the United States\"\n },\n {\n \"question_id\": \"21290\",\n \"answer\": \"fight with an al Qaeda-affiliated group in Somalia\"\n },\n {\n \"question_id\": \"21291\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21292\",\n \"answer\": \"His mother\"\n },\n {\n \"question_id\": \"21293\",\n \"answer\": \"If he was devout, he would make his prayers on time\"\n },\n {\n \"question_id\": \"21294\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21295\",\n \"answer\": \"a stupid kid\"\n },\n {\n \"question_id\": \"21296\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21297\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21298\",\n \"answer\": \"16 or 17 psychiatrists\"\n },\n {\n \"question_id\": \"21299\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21300\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"21301\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21302\",\n \"answer\": \"Mohamed Mahmood Alessa\"\n },\n {\n \"question_id\": \"21303\",\n \"answer\": \"Nadia Alessa\"\n },\n {\n \"question_id\": \"21304\",\n \"answer\": \"Carlos Eduardo Almonte\"\n },\n {\n \"question_id\": \"21305\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"21306\",\n \"answer\": \"Al-Shabaab\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX. \n\nGOING TO OSTIA. \n\nWhile Rollo was at Rome, he made the acquaintance of a boy named Copley. Copley was an English boy, and he was about a year older than Rollo. Rollo first saw him at the door of the hotel, as he, Copley, was dismounting from his horse, on his return from a ride which he had been taking into the country. He had been attended on his ride by a servant man named Thomas. Thomas dismounted from his horse first, and held the bridle of Copley's horse while Copley dismounted. \n\n\"There!\" said Copley, walking off with a very grand air, and leaving his horse in Thomas's hands; \"take the horse, Thomas, and never bring me such an animal as that again. Next time I ride I shall take Jessie.\" \n\n\"But Mr. William has forbidden me to give you Jessie,\" said Thomas. \"He says she is not safe.\" \n\n\"It's none of his business,\" said Copley. \"He thinks, because he is a little older than I am, and because he is married,--though he has not been married much more than a month,--that he has a right to order me about just as he pleases. And I am determined not to submit to it--would you?\" \n\nThese last words were addressed to Rollo. Copley had been advancing towards the door of the hotel, while he had been speaking, and had now just reached the step where Rollo was standing. \n\n\"Who is he?\" asked Rollo. \"Who is William?\" \n\n\"He is my brother,\" said Copley; \"but that has nothing to do with it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95365\": \"Who was the English boy?\"\n },\n {\n \"95366\": \"Whose acquaintance did he make?\"\n },\n {\n \"95367\": \"Where did they meet?\"\n },\n {\n \"95368\": \"Was the English youth older or younger?\"\n },\n {\n \"95369\": \"Was it a riding instructor who denied the mare?\"\n },\n {\n \"95370\": \"What was he?\"\n },\n {\n \"95371\": \"Was the sibling denier older or younger?\"\n },\n {\n \"95372\": \"Is the sibling who denied the mare single?\"\n },\n {\n \"95373\": \"Was the way that the English youth walked described as purposeful?\"\n },\n {\n \"95374\": \"What was it described as?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95365\",\n \"answer\": \"Copley\"\n },\n {\n \"question_id\": \"95366\",\n \"answer\": \"Rollo\"\n },\n {\n \"question_id\": \"95367\",\n \"answer\": \"Rome\"\n },\n {\n \"question_id\": \"95368\",\n \"answer\": \"older\"\n },\n {\n \"question_id\": \"95369\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95370\",\n \"answer\": \"William, Copley's brother\"\n },\n {\n \"question_id\": \"95371\",\n \"answer\": \"younger\"\n },\n {\n \"question_id\": \"95372\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95373\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95374\",\n \"answer\": \"as walking off with a very grand air\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Our brains work in complex and strange ways. There are some people who can calculate the day of the week for any given date in 40,000 years, but who cannot add two plus two. Others can perform complex classical piano pieces after hearing them once, but they cannot read or write. \n\nDr. J. Langdon Down first described this condition in 1887. He called these people idiot savants. An idiot savant is a person who has significant mental injury, such as in autism or retardation. At the same time, the person also exhibits some extraordinary skills, which are unusual for most people. The skills of the savant may vary from being exceptionally gifted in music or in mathematics, or having a photographic memory. \n\nOne of the first descriptions of a human who could calculate quickly was written in 1789 by Dr. Benjamin Rush, an American doctor. His patient, Thomas Fuller, was brought to Virginia as a slave in 1724. It took Thomas only 90 seconds to work out that a man who has lived 70 years, 17 days, and 12 hours has lived 2,210,500,800 seconds. Despite this ability, he died in 1790 without ever learning to read or write. \n\nAnother idiot savant slave became famous as a pianist in the 1860s. Blind Tom had a vocabulary of only 100 words, but he played 5,000 musical pieces beautifully. \n\nIn the excellent movie Rain Man, made in 1988 and available on video cassette, Dustin Hoffman plays an idiot savant who amazes his brother played by Tom Cruise, with his ability to perform complex calculations very rapidly. \n\nToday we more clearly recognize that the idiot savant is special because of brain impairment. Yet not all brain injury leads to savant skills. Some studies have shown that people who have purposeful interruption of the left side of the brain can develop idiot savant skills. However few people wish to participate in such experiments. There are many excellent reasons for not undergoing unnecessary experimentation on one's brain. The term idiot savant is outdated and inappropriate. Virtually all savants have a high degree of intelligence and are thus not idiots.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23058\": \"What are idiot savants?\"\n },\n {\n \"23059\": \"What type of skills?\"\n },\n {\n \"23060\": \"Anything else?\"\n },\n {\n \"23061\": \"And?\"\n },\n {\n \"23062\": \"Who wrote about a human that could calculate fast?\"\n },\n {\n \"23063\": \"What was his profession?\"\n },\n {\n \"23064\": \"Where was he from?\"\n },\n {\n \"23065\": \"What year did he write about this person?\"\n },\n {\n \"23066\": \"What was his patient's name?\"\n },\n {\n \"23067\": \"Was he a free man?\"\n },\n {\n \"23068\": \"Was he literate?\"\n },\n {\n \"23069\": \"Who became famous as a pianist?\"\n },\n {\n \"23070\": \"How many words did he know?\"\n },\n {\n \"23071\": \"How many music pieces could he play?\"\n },\n {\n \"23072\": \"What actor played Rain Man?\"\n },\n {\n \"23073\": \"What was his amazing skill?\"\n },\n {\n \"23074\": \"Does all brain injury leads to savant skills?\"\n },\n {\n \"23075\": \"Do many people wish to participate in experiments to determine idiot savant?\"\n },\n {\n \"23076\": \"Does the author like the term idiot savant?\"\n },\n {\n \"23077\": \"Why not?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23058\",\n \"answer\": \"a person who has significant mental injury but has extraordinary skills\"\n },\n {\n \"question_id\": \"23059\",\n \"answer\": \"gifted in music\"\n },\n {\n \"question_id\": \"23060\",\n \"answer\": \"mathematics\"\n },\n {\n \"question_id\": \"23061\",\n \"answer\": \"having a photographic memory\"\n },\n {\n \"question_id\": \"23062\",\n \"answer\": \"Dr. Benjamin Rush\"\n },\n {\n \"question_id\": \"23063\",\n \"answer\": \"doctor\"\n },\n {\n \"question_id\": \"23064\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"23065\",\n \"answer\": \"1789\"\n },\n {\n \"question_id\": \"23066\",\n \"answer\": \"Thomas Fuller\"\n },\n {\n \"question_id\": \"23067\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23068\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23069\",\n \"answer\": \"Blind Tom\"\n },\n {\n \"question_id\": \"23070\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"23071\",\n \"answer\": \"5,000\"\n },\n {\n \"question_id\": \"23072\",\n \"answer\": \"Dustin Hoffman\"\n },\n {\n \"question_id\": \"23073\",\n \"answer\": \"he performed complex calculations very rapidly\"\n },\n {\n \"question_id\": \"23074\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23075\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23076\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23077\",\n \"answer\": \"savants have a high degree of intelligence and are thus not idiots\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Yousuf Karsh,the Canadian portrait artist who photographed many of the most influential figures of the 20thcentury,died in a Boston hospital on July l3 th,2002.He was 93. \n\nWorking from a studio in Ottawa,Karsh produced famous portraits of such subjects as Winston Churchill,John F.Kennedy,Ernest Hemingway and Albert Einstein.Actually he has become almost as famous as his legendary subjects.In the latest edition of Who's Who,which listed the most notable people of the last century,Karsh was the only Canadian of the 100 famous people listed----51 0f whom Karsh had photographed. \n\nAs a master portraitist,often working in black and white.Karsh was famous for talking to his subjects as he was getting the shot's composition just right,asking them questions and putting them at ease.In preparation,he read as much as he could about the _ ,but avoided having the idea beforehand of how he would photograph them.He sought, as he wrote in Karsh Portfolio in 1967,to capture the \"essential element which has made them great,\" explaining,\"All I know is that within every mall a secret is hidden,and as a photographer, it is my task to reveal it if I can.\" \n\nKarsh was born in America in 1908,and his uncle,George Nakash,brought him to John Garo,all outstanding photographer,to teach him in 1928.Four years later,Karsh set up his own studio in Ottawa. \n\nIn December of 1941,his memorable portrait of Winston Churchill brought Karsh into international fame.Canada's Prime Minister Mackenzie King arranged for him to photograph Churchill following Churchill's speech in the House of Commons.Not told,Churchill lit up a cigar, \"Why was I not told of this?'' Karsh asked him to remove the cigar and,when he didn't,stepped forward and gently removed it with the comment,\"Forgive me,Sir.\"Churchill glowered as the shot was taken,then permitted Karsh to take still another,;jokingly commenting,\"You can even make a roaring lion stand still to be photographed.\" The Churchill portrait has since appeared in publications all over the world. \n\nKarsh traveled to London in 1943 with his portable studio ---- an 8-by-10 view camera and many studio lamps to photograph such notables as George Bernard Shaw and the royal family.All these portraits fully illustrate Karsh's ability.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89421\": \"Where was Karsh born?\"\n },\n {\n \"89422\": \"When?\"\n },\n {\n \"89423\": \"What was he known for?\"\n },\n {\n \"89424\": \"Did he photograph anyone famous?\"\n },\n {\n \"89425\": \"Who?\"\n },\n {\n \"89426\": \"Anyone else?\"\n },\n {\n \"89427\": \"Like who?\"\n },\n {\n \"89428\": \"How did he learn photography?\"\n },\n {\n \"89429\": \"What kind of camera did he use?\"\n },\n {\n \"89430\": \"Did he have other gear?\"\n },\n {\n \"89431\": \"What did he have?\"\n },\n {\n \"89432\": \"Did he shoot mostly in color or black and white?\"\n },\n {\n \"89433\": \"Where was his studio located?\"\n },\n {\n \"89434\": \"Did he receive any media recognition?\"\n },\n {\n \"89435\": \"Howso?\"\n },\n {\n \"89436\": \"Where did Karsh pass away?\"\n },\n {\n \"89437\": \"How old was he?\"\n },\n {\n \"89438\": \"When did he die?\"\n },\n {\n \"89439\": \"Did he travel outside of the states to work?\"\n },\n {\n \"89440\": \"Where did he go?\"\n },\n {\n \"89441\": \"When was that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89421\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"89422\",\n \"answer\": \"1908\"\n },\n {\n \"question_id\": \"89423\",\n \"answer\": \"master portraitist\"\n },\n {\n \"question_id\": \"89424\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89425\",\n \"answer\": \"Winston Churchill\"\n },\n {\n \"question_id\": \"89426\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89427\",\n \"answer\": \"George Bernard Shaw and the royal family\"\n },\n {\n \"question_id\": \"89428\",\n \"answer\": \"from John Garo\"\n },\n {\n \"question_id\": \"89429\",\n \"answer\": \"an 8-by-10 view camera\"\n },\n {\n \"question_id\": \"89430\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89431\",\n \"answer\": \"many studio lamps\"\n },\n {\n \"question_id\": \"89432\",\n \"answer\": \"black and white\"\n },\n {\n \"question_id\": \"89433\",\n \"answer\": \"Ottawa\"\n },\n {\n \"question_id\": \"89434\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89435\",\n \"answer\": \"He was in the latest edition of Who's Who\"\n },\n {\n \"question_id\": \"89436\",\n \"answer\": \"Boston\"\n },\n {\n \"question_id\": \"89437\",\n \"answer\": \"93\"\n },\n {\n \"question_id\": \"89438\",\n \"answer\": \"July 13th, 2002\"\n },\n {\n \"question_id\": \"89439\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89440\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"89441\",\n \"answer\": \"1943\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Edgar M. Bronfman Sr., a former Seagram executive and president of the World Jewish Congress for nearly 30 years, died in New York Saturday, according to a spokesman for his family's foundation. He was 84. \n\nBronfman died of natural causes, according to Jonathan Cohen, a spokesman for the family's Samuel Bronfman Foundation, named after his father, a wealthy liquor mogul. Edgar Bronfman was surrounded by family when he died, Cohen said. \n\nBronfman devoted much of his life to advocating for Judaism and Jewish causes. He traveled to the Soviet Union in 1970 to lobby for greater freedom for Jews living there and helped to win restitution for Holocaust victims from Swiss banks in 1997. President Bill Clinton awarded Bronfman the Presidential Medal of Freedom in 1999. \n\nBronfman also exposed the Nazi past of former Austrian President Kurt Waldheim. \n\n\"He was the first of his kind, a titan of industry that dedicated himself fully to advocating, advancing and encouraging the Jewish people,\" said Dana Raucher, executive director of the family's foundation. \"Edgar showed how vision and long-term thinking can impact the entire landscape of Jewish life. \" \n\nBronfman, the son of Canadian liquor mogul Samuel Bronfman, became chairman and CEO of the Seagram Company in 1971. While at the helm, Bronfman worked to expand Seagram's presence abroad and to develop the company's holdings beyond alcohol, including acquiring Tropicana and investing in oil and DuPont, the chemical company. \n\nBronfman retired from the Seagram Company in 1994 and passed the reins to his son Edgar Jr. He was president of the World Jewish Congress from 1981 until 2007. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21215\": \"Who is the story about?\"\n },\n {\n \"21216\": \"For what organization was he President?\"\n },\n {\n \"21217\": \"What other title did he have?\"\n },\n {\n \"21218\": \"How long was he with Congress?\"\n },\n {\n \"21219\": \"What happened to him?\"\n },\n {\n \"21220\": \"When?\"\n },\n {\n \"21221\": \"Where?\"\n },\n {\n \"21222\": \"How old was he?\"\n },\n {\n \"21223\": \"Who said he died naturally?\"\n },\n {\n \"21224\": \"And who's he?\"\n },\n {\n \"21225\": \"Who was the Foundation named after?\"\n },\n {\n \"21226\": \"What did his father do?\"\n },\n {\n \"21227\": \"Did Bronfman die alone?\"\n },\n {\n \"21228\": \"What causes did he devote his life to?\"\n },\n {\n \"21229\": \"What award did Clinton bestow him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21215\",\n \"answer\": \"Edgar M. Bronfman Sr\"\n },\n {\n \"question_id\": \"21216\",\n \"answer\": \"the World Jewish Congress\"\n },\n {\n \"question_id\": \"21217\",\n \"answer\": \"Seagram executive\"\n },\n {\n \"question_id\": \"21218\",\n \"answer\": \"nearly 30 years\"\n },\n {\n \"question_id\": \"21219\",\n \"answer\": \"died of natural causes\"\n },\n {\n \"question_id\": \"21220\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"21221\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"21222\",\n \"answer\": \"84\"\n },\n {\n \"question_id\": \"21223\",\n \"answer\": \"Jonathan Cohen\"\n },\n {\n \"question_id\": \"21224\",\n \"answer\": \"a spokesman for the family's Samuel Bronfman Foundation\"\n },\n {\n \"question_id\": \"21225\",\n \"answer\": \"his father,\"\n },\n {\n \"question_id\": \"21226\",\n \"answer\": \"liquor mogul.\"\n },\n {\n \"question_id\": \"21227\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21228\",\n \"answer\": \"advocating for Judaism and Jewish causes\"\n },\n {\n \"question_id\": \"21229\",\n \"answer\": \"Presidential Medal of Freedom\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Railroad ties, cement pilings and other debris reportedly mark the entrance to Marcus and Partricia Faella's rural Florida compound, situated on the edge of a wildlife management area marketed by tourism officials as a good spot for hikers, campers and bird watchers. \n\nLook closer and, according to police documents, you'd see shooting slits cut into the side of the couple's trailer, maybe even some military-grade ordinance scattered around the property. \n\nIt is there, authorities say, that Marcus, his wife and eight other members of American Front -- a down-on-its-luck white supremacist group -- trained in hand-to-hand combat, drilled in breaking down weapons and practiced shooting them, imagining their targets weren't merely water jugs, but rather the exploding heads of people they hated. \n\nOn Monday, authorities said they had arrested the Faellas and five other members of the group, which is also known by its initials AF, on charges of illegal paramilitary training, attempting to shoot into an occupied dwelling and evidence of prejudice while committing a crime. \n\n\"Faella views himself and the other members of the AF as the protectors of the white race,\" investigators wrote in an affidavit. \"Faella has stated his intent during the race war is to kill Jews, immigrants and other minorities.\" \n\nMore immediately, according to police, Faella was planning to stage provocative disruptions at the Orlando City Hall and at a Melbourne, Florida, anarchist gathering that included members of anti-racist skinhead groups. \n\nFaella, the police documents say, wanted to stir up media attention to help gain new recruits for American Front, which hate-tracking groups says has been faltering since the death of its leader, David Lynch, in California. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74623\": \"What group is mentioned?\"\n },\n {\n \"74624\": \"What is their cause?\"\n },\n {\n \"74625\": \"Whose property were they practicing on?\"\n },\n {\n \"74626\": \"What state did they live in?\"\n },\n {\n \"74627\": \"Did they live in the city?\"\n },\n {\n \"74628\": \"How many people practiced there?\"\n },\n {\n \"74629\": \"Did they strongly dislike some people?\"\n },\n {\n \"74630\": \"What were they going to try to start and fight in?\"\n },\n {\n \"74631\": \"What was their property next to?\"\n },\n {\n \"74632\": \"Is that a good place for people to visit?\"\n },\n {\n \"74633\": \"Did they just learn how to shoot guns?\"\n },\n {\n \"74634\": \"What other fighting did they practice?\"\n },\n {\n \"74635\": \"Did the police catch some of them?\"\n },\n {\n \"74636\": \"How many?\"\n },\n {\n \"74637\": \"When?\"\n },\n {\n \"74638\": \"On how many charges?\"\n },\n {\n \"74639\": \"Who was the former leader of the group?\"\n },\n {\n \"74640\": \"Where did he die?\"\n },\n {\n \"74641\": \"Was the group getting stronger?\"\n },\n {\n \"74642\": \"Was the Faella's property clean?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74623\",\n \"answer\": \"American Front\"\n },\n {\n \"question_id\": \"74624\",\n \"answer\": \"protectors of the white race\"\n },\n {\n \"question_id\": \"74625\",\n \"answer\": \"Marcus and Partricia Faella's\"\n },\n {\n \"question_id\": \"74626\",\n \"answer\": \"Florida\"\n },\n {\n \"question_id\": \"74627\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74628\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"74629\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74630\",\n \"answer\": \"Faella was planning to stage provocative disruptions at the Orlando City Hall and at a Melbourne, Florida, anarchist gathering\"\n },\n {\n \"question_id\": \"74631\",\n \"answer\": \"a wildlife management area\"\n },\n {\n \"question_id\": \"74632\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74633\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74634\",\n \"answer\": \"hand-to-hand combat\"\n },\n {\n \"question_id\": \"74635\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74636\",\n \"answer\": \"the Faellas and five other members of the group,\"\n },\n {\n \"question_id\": \"74637\",\n \"answer\": \"On Monday\"\n },\n {\n \"question_id\": \"74638\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"74639\",\n \"answer\": \"David Lynch\"\n },\n {\n \"question_id\": \"74640\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"74641\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74642\",\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 York University () is a public research university in Toronto, Ontario, Canada. It is Canada's third-largest university. \n\nYork University has approximately 52,300 students, 7,000 faculty and staff, and 295,000 alumni worldwide. It has eleven faculties, including the Faculty of Liberal Arts & Professional Studies, Faculty of Science, Lassonde School of Engineering, Schulich School of Business, Osgoode Hall Law School, Glendon College, Faculty of Education, Faculty of Health, Faculty of Environmental Studies, Faculty of Graduate Studies, the School of the Arts, Media, Performance and Design (formerly the Faculty of Fine Arts), and 28 research centres. \n\nYork University participates in the Canadian Space Program and is home to Canada's only space engineering program. The Faculty of Science and Lassonde School of Engineering are Canada's primary research facility into Martian exploration, and have designed several space research instruments and applications used by NASA. York has pioneered several PhD programs in Canada, including women's studies. The School of Social Work is recognized as having one of the most socially responsive programs in the country. York's psychology program is the largest in North America. York University's business school and law school have continuously and consistently been ranked among the top schools in Canada and the world.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13090\": \"What is this article mainly about?\"\n },\n {\n \"13091\": \"In what city is it located?\"\n },\n {\n \"13092\": \"About how many students attend there?\"\n },\n {\n \"13093\": \"What program is solely offered by them?\"\n },\n {\n \"13094\": \"In what State is it located?\"\n },\n {\n \"13095\": \"How many staff/faculty?\"\n },\n {\n \"13096\": \"How many faculties does it have?\"\n },\n {\n \"13097\": \"Is there one for engineers?\"\n },\n {\n \"13098\": \"What's its name?\"\n },\n {\n \"13099\": \"Is there one for future attorneys?\"\n },\n {\n \"13100\": \"What's its name?\"\n },\n {\n \"13101\": \"Do they do any air exploring?\"\n },\n {\n \"13102\": \"Name one program they're involved with?\"\n },\n {\n \"13103\": \"Do they do martian exploring?\"\n },\n {\n \"13104\": \"How many of York's institutions are involved with this?\"\n },\n {\n \"13105\": \"Name one.\"\n },\n {\n \"13106\": \"And the other?\"\n },\n {\n \"13107\": \"Who is using some of their research?\"\n },\n {\n \"13108\": \"Do they have a psych program?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13090\",\n \"answer\": \"York University\"\n },\n {\n \"question_id\": \"13091\",\n \"answer\": \"Toronto\"\n },\n {\n \"question_id\": \"13092\",\n \"answer\": \"52,300\"\n },\n {\n \"question_id\": \"13093\",\n \"answer\": \"space engineering\"\n },\n {\n \"question_id\": \"13094\",\n \"answer\": \"Ontario\"\n },\n {\n \"question_id\": \"13095\",\n \"answer\": \"7,000\"\n },\n {\n \"question_id\": \"13096\",\n \"answer\": \"eleven\"\n },\n {\n \"question_id\": \"13097\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13098\",\n \"answer\": \"Lassonde School of Engineering\"\n },\n {\n \"question_id\": \"13099\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13100\",\n \"answer\": \"Osgoode Hall Law School\"\n },\n {\n \"question_id\": \"13101\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13102\",\n \"answer\": \"Canadian Space Program\"\n },\n {\n \"question_id\": \"13103\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13104\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"13105\",\n \"answer\": \"The Faculty of Science\"\n },\n {\n \"question_id\": \"13106\",\n \"answer\": \"Lassonde School of Engineering\"\n },\n {\n \"question_id\": \"13107\",\n \"answer\": \"NASA\"\n },\n {\n \"question_id\": \"13108\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The concept of Germany as a distinct region in central Europe can be traced to Roman commander Julius Caesar, who referred to the unconquered area east of the Rhine as \"Germania\", thus distinguishing it from Gaul (France), which he had conquered. The victory of the Germanic tribes in the Battle of the Teutoburg Forest (AD 9) prevented annexation by the Roman Empire, although the Roman provinces of Germania Superior and Germania Inferior were established along the Rhine. Following the Fall of the Western Roman Empire, the Franks conquered the other West Germanic tribes. When the Frankish Empire was divided among Charlemagne's heirs in 843, the eastern part became East Francia. In 962, Otto I became the first emperor of the Holy Roman Empire, the medieval German state. \n\nIn the High Middle Ages, the regional dukes, princes and bishops gained power at the expense of the emperors. Martin Luther led the Protestant Reformation against the Catholic Church after 1517, as the northern states became Protestant, while the southern states remained Catholic. The two parts of the Holy Roman Empire clashed in the Thirty Years' War (1618–1648), which was ruinous to the twenty million civilians living in both parts. The Thirty Years' War brought tremendous destruction to Germany; more than 1/4 of the population and 1/2 of the male population in the German states were killed by the catastrophic war. 1648 marked the effective end of the Holy Roman Empire and the beginning of the modern nation-state system, with Germany divided into numerous independent states, such as Prussia, Bavaria and Saxony.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41035\": \"when was the Frankish empire divided among Charlemange's heirs?\"\n },\n {\n \"41036\": \"where did the two parts of the holy roman empire clash?\"\n },\n {\n \"41037\": \"when did that happen?\"\n },\n {\n \"41038\": \"what did it mark the end of?\"\n },\n {\n \"41039\": \"how was germany divided after that?\"\n },\n {\n \"41040\": \"how far back can the concept of Germany be traced?\"\n },\n {\n \"41041\": \"what did he refer to the area as?\"\n },\n {\n \"41042\": \"is it different than Gaul?\"\n },\n {\n \"41043\": \"list some of the independent German states\"\n },\n {\n \"41044\": \"are there any others?\"\n },\n {\n \"41045\": \"what?\"\n },\n {\n \"41046\": \"what battle prevented annexation of the Germanic tribes\"\n },\n {\n \"41047\": \"when did it happen?\"\n },\n {\n \"41048\": \"who was the first emperor of the holy roman empire?\"\n },\n {\n \"41049\": \"what year?\"\n },\n {\n \"41050\": \"who led the Protestant reformation?\"\n },\n {\n \"41051\": \"did the norhtern states remain catholic?\"\n },\n {\n \"41052\": \"did the southern states?\"\n },\n {\n \"41053\": \"what country was destroyed in the 30 years war?\"\n },\n {\n \"41054\": \"how much of the male population died?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41035\",\n \"answer\": \"843\"\n },\n {\n \"question_id\": \"41036\",\n \"answer\": \"Thirty Years' War\"\n },\n {\n \"question_id\": \"41037\",\n \"answer\": \"1618\\u20131648\"\n },\n {\n \"question_id\": \"41038\",\n \"answer\": \"Holy Roman Empire\"\n },\n {\n \"question_id\": \"41039\",\n \"answer\": \"numerous independent states\"\n },\n {\n \"question_id\": \"41040\",\n \"answer\": \"to Julius Caesar\"\n },\n {\n \"question_id\": \"41041\",\n \"answer\": \"Germania\"\n },\n {\n \"question_id\": \"41042\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41043\",\n \"answer\": \"Prussia & Bavaria\"\n },\n {\n \"question_id\": \"41044\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41045\",\n \"answer\": \"Saxony\"\n },\n {\n \"question_id\": \"41046\",\n \"answer\": \"Battle of the Teutoburg Forest\"\n },\n {\n \"question_id\": \"41047\",\n \"answer\": \"AD 9\"\n },\n {\n \"question_id\": \"41048\",\n \"answer\": \"Otto I\"\n },\n {\n \"question_id\": \"41049\",\n \"answer\": \"962\"\n },\n {\n \"question_id\": \"41050\",\n \"answer\": \"Luther\"\n },\n {\n \"question_id\": \"41051\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41052\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41053\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"41054\",\n \"answer\": \"1/2\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n How far would you be willing to go to satisfy your need to know?Far enough to find out your possibility of dying from a terrible disease?These days that's more than an academic question,as Tracy Smith reports in our Cover Story. \n\nThere are now more than a thousand genetic tests,for everything from baldness to breast cancer,and the list is growing.Question is,do you really want to know what might eventually kill you?For instance,Nobel Prizewinning scientist James Watson,one of the first people to map their entire genetic makeup,is said to have asked not to be told if he were at a higher risk for Alzheimer's . \n\n\"If I tell you that you have an increased risk of getting a terrible disease,that could weigh on your mind and make you anxious,through which you see the rest of your life as you wait for that disease to hit you.It could really mess you up.\" said Dr.Robert Green,a Harvard geneticist. \n\n\"Every ache and pain,\" Smith suggested,could be understood as \"the beginning of the end.\"\"That's right.If you ever worried you were at risk for Alzheimer's disease,then every time you can't find your car in the parking lot,you think the disease has started.\" \n\nDr.Green has been thinking about this issue for years.He led a study of people who wanted to know if they were at a higher genetic risk for Alzheimer's.It was thought that people who got bad news would,for lack of a better medical term, _ .But Green and his team found that there was \"no significant difference\" between how people handled good news and possibly the worst news of their lives.In fact,most people think they can handle it.People who ask for the information usually can handle the information,good or bad,said Green.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"235\": \"How many tests are there?\"\n },\n {\n \"236\": \"What kind are they?\"\n },\n {\n \"237\": \"What can they inform you about?\"\n },\n {\n \"238\": \"Has anyone mapped their entire genetic sequence?\"\n },\n {\n \"239\": \"Whom?\"\n },\n {\n \"240\": \"What is he known for?\"\n },\n {\n \"241\": \"Has he received any awards?\"\n },\n {\n \"242\": \"Which one?\"\n },\n {\n \"243\": \"Was he informed that he was more likely to get Alzheimers?\"\n },\n {\n \"244\": \"Why not?\"\n },\n {\n \"245\": \"Who went to Harvard?\"\n },\n {\n \"246\": \"What does he do?\"\n },\n {\n \"247\": \"What does he think \\\"could really mess you up\\\"?\"\n },\n {\n \"248\": \"Did he organize a study?\"\n },\n {\n \"249\": \"What was it about?\"\n },\n {\n \"250\": \"Did people want to know if they would get it?\"\n },\n {\n \"251\": \"Did they react differently based on the news they got?\"\n },\n {\n \"252\": \"Who gave the report for the story?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"235\",\n \"answer\": \"over thousand\"\n },\n {\n \"question_id\": \"236\",\n \"answer\": \"genetic tests\"\n },\n {\n \"question_id\": \"237\",\n \"answer\": \"from baldness to breast cancer\"\n },\n {\n \"question_id\": \"238\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"239\",\n \"answer\": \"James Watson\"\n },\n {\n \"question_id\": \"240\",\n \"answer\": \"first people to map their entire genetic makeup\"\n },\n {\n \"question_id\": \"241\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"242\",\n \"answer\": \"Nobel\"\n },\n {\n \"question_id\": \"243\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"244\",\n \"answer\": \"will make you anxious\"\n },\n {\n \"question_id\": \"245\",\n \"answer\": \"Dr.Robert Green\"\n },\n {\n \"question_id\": \"246\",\n \"answer\": \"geneticist\"\n },\n {\n \"question_id\": \"247\",\n \"answer\": \"wait for that disease\"\n },\n {\n \"question_id\": \"248\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"249\",\n \"answer\": \"Alzheimer\"\n },\n {\n \"question_id\": \"250\",\n \"answer\": \"yes and no both\"\n },\n {\n \"question_id\": \"251\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"252\",\n \"answer\": \"Green and his team\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 51-year-old lawyer has moved back in with his mother-after giving up his Los Angeles home to a family of strangers for a year. \n\nTony Tolbert looked for a family in need after his father set a glowing example when he was growing up by always welcoming people to stay in their spare room. \"You don't have to be Bill Gates or Warren Buffet or Oprah,\" Tolbert told CBS. \"We can do it wherever we are, with whatever we have, and for me, I have a home that I can make available. \" His mother, Marie Tolbert, added, \" He is go giving, and he's always been that way. \" \n\nTolbert went to Alexandria House, a shelter for homeless women and children, and came across Felicia Dukes, who lived in a single bedroom with three of her children. Her family had been separated as the shelter was just for children and her eldest son was unable to join them. Tolbert told the staff he wanted to bring the. family back together, and offered his home. \n\nThe family has now moved into the three-bedroom, two-bathroom home - with Duke's oldest son. It is worth nearly $400,000, according to online estimates. \"My heart just fills up with appreciation, \" Dukes said, as she wiped away her tears. \n\nThe heartwarming story comes after the report that l0-year-old Gracie McNulty, from England, served Christmas dinners t0 50 homeless people, achieving her fathers last Christmas wish. \n\nHer father Craig, 38, was a regular charity volunteer who had served breakfast to the homeless on Boxing Day. But as a roofer, he suffered serious head injuries when he fell while working. And 'he died soon after the accident in August. \n\n\"It's been the best Christmas ever, \" Cracie said. \"I was just at school feeling sad and so I decided I wanted to do something to make him proud and this felt like the perfect thing. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73658\": \"Who offered up their home?\"\n },\n {\n \"73659\": \"What was his name?\"\n },\n {\n \"73660\": \"Why did he give up his home?\"\n },\n {\n \"73661\": \"Did his father set the example?\"\n },\n {\n \"73662\": \"What was his mothers name?\"\n },\n {\n \"73663\": \"What did she have to say about him?\"\n },\n {\n \"73664\": \"Where did he go to find folks that could use help?\"\n },\n {\n \"73665\": \"Did he find a person?\"\n },\n {\n \"73666\": \"What was her name?\"\n },\n {\n \"73667\": \"Did she have kids?\"\n },\n {\n \"73668\": \"How many?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73658\",\n \"answer\": \"51-year-old lawyer\"\n },\n {\n \"question_id\": \"73659\",\n \"answer\": \"Tony Tolbert\"\n },\n {\n \"question_id\": \"73660\",\n \"answer\": \"to a family of strangers for a year.\"\n },\n {\n \"question_id\": \"73661\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73662\",\n \"answer\": \"Marie Tolbert\"\n },\n {\n \"question_id\": \"73663\",\n \"answer\": \"He is go giving, and he's always been that way. \\\"\"\n },\n {\n \"question_id\": \"73664\",\n \"answer\": \"Alexandria House\"\n },\n {\n \"question_id\": \"73665\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73666\",\n \"answer\": \"Felicia Dukes\"\n },\n {\n \"question_id\": \"73667\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"73668\",\n \"answer\": \"three\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nAUGUST 1ST, 1714. \n\n\"Does my mistress know of this?\" Esmond asked of Frank, as they walked along. \n\n\"My mother found the letter in the book, on the toilet-table. She had writ it ere she had left home,\" Frank said. \"Mother met her on the stairs, with her hand upon the door, trying to enter, and never left her after that till she went away. He did not think of looking at it there, nor had Martin the chance of telling him. I believe the poor devil meant no harm, though I half killed him; he thought 'twas to Beatrix's brother he was bringing the letter.\" \n\nFrank never said a word of reproach to me for having brought the villain amongst us. As we knocked at the door I said, \"When will the horses be ready?\" Frank pointed with his cane, they were turning the street that moment. \n\nWe went up and bade adieu to our mistress; she was in a dreadful state of agitation by this time, and that Bishop was with her whose company she was so fond of. \n\n\"Did you tell him, my lord,\" says Esmond, \"that Beatrix was at Castlewood?\" The Bishop blushed and stammered: \"Well,\" says he, \"I . . .\" \n\n\"You served the villain right,\" broke out Mr. Esmond, \"and he has lost a crown by what you told him.\" \n\nMy mistress turned quite white, \"Henry, Henry,\" says she, \"do not kill him.\" \n\n\"It may not be too late,\" says Esmond; \"he may not have gone to Castlewood; pray God, it is not too late.\" The Bishop was breaking out with some banale phrases about loyalty, and the sacredness of the Sovereign's person; but Esmond sternly bade him hold his tongue, burn all papers, and take care of Lady Castlewood; and in five minutes he and Frank were in the saddle, John Lockwood behind them, riding towards Castlewood at a rapid pace. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76088\": \"What was found in a book?\"\n },\n {\n \"76089\": \"by whom?\"\n },\n {\n \"76090\": \"Where was it?\"\n },\n {\n \"76091\": \"Who was the letter being brought to?\"\n },\n {\n \"76092\": \"Where was Beatrix?\"\n },\n {\n \"76093\": \"What was Esmond and Frankl doinf first?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76088\",\n \"answer\": \"a letter\"\n },\n {\n \"question_id\": \"76089\",\n \"answer\": \"mother\"\n },\n {\n \"question_id\": \"76090\",\n \"answer\": \"on the toilet-table\"\n },\n {\n \"question_id\": \"76091\",\n \"answer\": \"Beatrix's brother\"\n },\n {\n \"question_id\": \"76092\",\n \"answer\": \"Castlewood\"\n },\n {\n \"question_id\": \"76093\",\n \"answer\": \"bade adieu to our mistress\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 V \n\nCLOVELLY COURT IN THE OLDEN TIME \n\n\"It was among the ways of good Queen Bess, Who ruled as well as ever mortal can, sir, When she was stogg'd, and the country in a mess, She was wont to send for a Devon man, sir.\" \n\nWest Country Song. \n\nThe next morning Amyas Leigh was not to be found. Not that he had gone out to drown himself in despair, or even to bemoan himself \"down by the Torridge side.\" He had simply ridden off, Frank found, to Sir Richard Grenville at Stow: his mother at once divined the truth, that he was gone to try for a post in the Irish army, and sent off Frank after him to bring him home again, and make him at least reconsider himself. \n\nSo Frank took horse and rode thereon ten miles or more: and then, as there were no inns on the road in those days, or indeed in these, and he had some ten miles more of hilly road before him, he turned down the hill towards Clovelly Court, to obtain, after the hospitable humane fashion of those days, good entertainment for man and horse from Mr. Cary the squire. \n\nAnd when he walked self-invited, like the loud-shouting Menelaus, into the long dark wainscoted hall of the court, the first object he beheld was the mighty form of Amyas, who, seated at the long table, was alternately burying his face in a pasty, and the pasty in his face, his sorrows having, as it seemed, only sharpened his appetite, while young Will Cary, kneeling on the opposite bench, with his elbows on the table, was in that graceful attitude laying down the law fiercely to him in a low voice. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95750\": \"What is the name of this chapter?\"\n },\n {\n \"95751\": \"Who joined the army?\"\n },\n {\n \"95752\": \"How did he travel?\"\n },\n {\n \"95753\": \"Were there places to stay during the journey?\"\n },\n {\n \"95754\": \"How far did he have travel?\"\n },\n {\n \"95755\": \"What was the squires name?\"\n },\n {\n \"95756\": \"Who went after the young man?\"\n },\n {\n \"95757\": \"What was on the walls of the building?\"\n },\n {\n \"95758\": \"Who was seated at the table?\"\n },\n {\n \"95759\": \"Was he happy?\"\n },\n {\n \"95760\": \"Was he hungry?\"\n },\n {\n \"95761\": \"Who occupied the chair next to him?\"\n },\n {\n \"95762\": \"What military was he joining?\"\n },\n {\n \"95763\": \"What color was his face?\"\n },\n {\n \"95764\": \"Where did he bury his head?\"\n },\n {\n \"95765\": \"what is a pasty?\"\n },\n {\n \"95766\": \"Did the young man join the military?\"\n },\n {\n \"95767\": \"Who cared for the animal?\"\n },\n {\n \"95768\": \"What was the queens name?\"\n },\n {\n \"95769\": \"Was she a good ruler?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95750\",\n \"answer\": \"CLOVELLY COURT IN THE OLDEN TIME\"\n },\n {\n \"question_id\": \"95751\",\n \"answer\": \"Amyas Leigh\"\n },\n {\n \"question_id\": \"95752\",\n \"answer\": \"horse\"\n },\n {\n \"question_id\": \"95753\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95754\",\n \"answer\": \"ten miles\"\n },\n {\n \"question_id\": \"95755\",\n \"answer\": \"Mr. Cary\"\n },\n {\n \"question_id\": \"95756\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"95757\",\n \"answer\": \"wainscoting\"\n },\n {\n \"question_id\": \"95758\",\n \"answer\": \"Amyas\"\n },\n {\n \"question_id\": \"95759\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95760\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95761\",\n \"answer\": \"Will Cary,\"\n },\n {\n \"question_id\": \"95762\",\n \"answer\": \"the Irish army\"\n },\n {\n \"question_id\": \"95763\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"95764\",\n \"answer\": \"in a pasty\"\n },\n {\n \"question_id\": \"95765\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"95766\",\n \"answer\": \"probably not\"\n },\n {\n \"question_id\": \"95767\",\n \"answer\": \"Mr. Cary\"\n },\n {\n \"question_id\": \"95768\",\n \"answer\": \"Bess\"\n },\n {\n \"question_id\": \"95769\",\n \"answer\": \"eys\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX GOOD MONEY FOR BAD \n\nAt luncheon Josie appeared at the table, fresh as ever, and Mary Louise began to relate to her and to her grandfather the occurrences of the morning. When she came to tell how Sol Jerrems had declared the money counterfeit, Josie suddenly sprang up and swung her napkin around her head, shouting gleefully: \n\n\"Glory hallelujah! I've got him. I've trapped Old Swallowtail at last.\" \n\nThey looked at her in amazement. \n\n\"What do you mean?\" asked Mary Louise. \n\nJosie sobered instantly. \n\n\"Forgive me,\" she said; \"I'm ashamed of myself. Go on with the story. What became of that counterfeit bill?\" \n\n\"Mr. Jerrems has it yet. He is keeping it to show to a commercial traveler, who is to visit his store to-morrow. If the man declares the money is good, then Ingua may buy her things.\" \n\n\"We won't bother the commercial traveler,\" said Josie, in a tone of relief. \"I'm going straight down to the store to redeem that bill. I want it in my possession.\" \n\nColonel Hathaway regarded her gravely. \n\n\"I think our female detective, having said so much and having exhibited such remarkable elation, must now explain her discoveries to us more fully,\" said he. \n\n\"I'd rather not, just yet,\" protested Josie. \"But what have I said in my madness, and what did my words imply?\" \n\n\"From the little I know of this case,\" replied the Colonel, \"I must judge that you believe Mr. Cragg to be a counterfeiter, and that his mysterious business is--to counterfeit. In this out-of-the-way place,\" he continued, thoughtfully, \"such a venture might be carried on for a long time without detection. Yet there is one thing that to me forbids this theory.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83248\": \"What did Josie call Mr. Cragg?\"\n },\n {\n \"83249\": \"Who told the story about the money?\"\n },\n {\n \"83250\": \"Was the money declared good?\"\n },\n {\n \"83251\": \"Who said it wasn't?\"\n },\n {\n \"83252\": \"Was Josie sad about this?\"\n },\n {\n \"83253\": \"How do you know?\"\n },\n {\n \"83254\": \"Was she sitting still when she shouted?\"\n },\n {\n \"83255\": \"What did she wave in the air?\"\n },\n {\n \"83256\": \"Was she proud of herself for being so happy?\"\n },\n {\n \"83257\": \"How did she feel?\"\n },\n {\n \"83258\": \"Who has the money now?\"\n },\n {\n \"83259\": \"Does Mr. Jerrems own a bar?\"\n },\n {\n \"83260\": \"Does he own a store?\"\n },\n {\n \"83261\": \"Who is going to show the money too?\"\n },\n {\n \"83262\": \"When?\"\n },\n {\n \"83263\": \"Does Josie agree with the plan?\"\n },\n {\n \"83264\": \"Does she want the money herself?\"\n },\n {\n \"83265\": \"What is her grandfather's name?\"\n },\n {\n \"83266\": \"What does he call his grand daughter?\"\n },\n {\n \"83267\": \"Does he agree with her theory?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83248\",\n \"answer\": \"Old Swallowtail\"\n },\n {\n \"question_id\": \"83249\",\n \"answer\": \"Josie\"\n },\n {\n \"question_id\": \"83250\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83251\",\n \"answer\": \"Sol Jerrems\"\n },\n {\n \"question_id\": \"83252\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83253\",\n \"answer\": \"She shouted gleefully.\"\n },\n {\n \"question_id\": \"83254\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"83255\",\n \"answer\": \"Her napkin\"\n },\n {\n \"question_id\": \"83256\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"83257\",\n \"answer\": \"ashamed\"\n },\n {\n \"question_id\": \"83258\",\n \"answer\": \"Mr. Jerrems\"\n },\n {\n \"question_id\": \"83259\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83260\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"83261\",\n \"answer\": \"A commercial traveler\"\n },\n {\n \"question_id\": \"83262\",\n \"answer\": \"tomorrow\"\n },\n {\n \"question_id\": \"83263\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83264\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"83265\",\n \"answer\": \"Colonel Hathaway\"\n },\n {\n \"question_id\": \"83266\",\n \"answer\": \"our female detective\"\n },\n {\n \"question_id\": \"83267\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER THREE. \n\nDESCRIBES THE DEED OF AN AMATEUR MATADOR AND THE WORK OF A ROUGH-AND-READY SHOEMAKER. \n\nWhen the day began to break Hockins awoke, and his first impulse was to shout \"hold on!\" Ebony's first action was to let go, thereby bringing himself to the ground with an awful thud, which would have told severely on any one less akin to india-rubber. \n\nFor a few minutes Mark Breezy, holding tight to his particular branch, looked down at his companions, yawned heavily, and smiled a little. Then a sudden impulse of memory caused him to look grave. \n\n\"Come,\" he said, dropping lightly from his perch, \"these natives may have been searching for us all night, and are perhaps nearer than we suppose. I vote that we push on at once.\" \n\n\"Agreed,\" said Hockins, stretching himself. \n\n\"No fear, Massa,\" remarked the negro. \"If it wur moonlight dey might 'ave search, but whar de nights am dark dey knows better. De niggahs in dis yer island hab got skins an' eyes an' noses. If dey was to go troo such woods in de dark, dey hab no skins or eyes or noses in de mornin'-- leas'wise nuffin' wuth mentionin'. Cause why? Dey'd all git knocked into a sorter mush. Plenty ob time for breakfast 'fore we start.\" \n\n\"That's true, boy,\" said Hockins, \"but where's the breakfast to come from?\" \n\n\"What! you no bringed nuffin' in your pockits?\" asked the negro with a look of visible anxiety on his expressive face. \n\nHockins turned his various pockets inside out by way of reply. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52099\": \"Who agreed with someone?\"\n },\n {\n \"52100\": \"What time did Hotchins wake up\"\n },\n {\n \"52101\": \"Do the natives search at night?\"\n },\n {\n \"52102\": \"In waking what did he first want to do?\"\n },\n {\n \"52103\": \"if the natives searched at night, what might they lose?\"\n },\n {\n \"52104\": \"so they would be healthy?\"\n },\n {\n \"52105\": \"what would they get turned into\"\n },\n {\n \"52106\": \"could they have food?\"\n },\n {\n \"52107\": \"did they bring any food?\"\n },\n {\n \"52108\": \"who stayed in the tree a little longer?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52099\",\n \"answer\": \"Hockins,\"\n },\n {\n \"question_id\": \"52100\",\n \"answer\": \"morning\"\n },\n {\n \"question_id\": \"52101\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52102\",\n \"answer\": \"to shout\"\n },\n {\n \"question_id\": \"52103\",\n \"answer\": \"their skin, eyes, and noses\"\n },\n {\n \"question_id\": \"52104\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52105\",\n \"answer\": \"mush\"\n },\n {\n \"question_id\": \"52106\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"52107\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52108\",\n \"answer\": \"Mark Breezy,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Perugia, Italy (CNN) -- A lawyer for Amanda Knox said Thursday the only option for the jury considering her murder appeal in Italy is to clear her of guilt. \n\nKnox's lawyers gave their final arguments in Perugia Thursday in an effort to counter prosecutors' portrayal of her as a cunning \"femme fatale.\" \n\nLawyer Carlo Dalla Vedova told the jury 'that the only possible decision to take is that of absolving Amanda Knox,\" as he wrapped up his closing argument. \n\nHe said the court had already seen \"there is not trace of Amanda Knox in the room where murder took place.\" \n\nKnox and her former boyfriend Raffaele Sollecito are fighting to overturn their 2009 convictions for the murder of Meredith Kercher, Knox's British housemate who was found with her throat slashed two years earlier. \n\nThe judge said there will be no ruling in the case until after defendant statements on Monday. \n\nThe second of Knox's lawyers to speak, Luciano Ghirga, said Knox was \"very afraid but her heart is full of hope and she hopes to return to freedom.\" \n\nHer \"image was massacred\" by the media and the attacks on her character started before the trial, he said, adding that he considered her as a daughter. \n\nConcluding an emotional appearance, he appealed to the jury to put themselves in the shoes of Knox's family -- a counterpoise to the words of appeals court prosecutor Giancarlo Costagliola, who asked the jury to put themselves in the shoes of Kercher's family at the start of the closing arguments a week ago. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89513\": \"What was Amanda Knox accused of?\"\n },\n {\n \"89514\": \"Who did she kill?\"\n },\n {\n \"89515\": \"Did she know her?\"\n },\n {\n \"89516\": \"How?\"\n },\n {\n \"89517\": \"Was she said to have acted alone?\"\n },\n {\n \"89518\": \"Who helped her?\"\n },\n {\n \"89519\": \"Were they found guilty?\"\n },\n {\n \"89520\": \"When?\"\n },\n {\n \"89521\": \"What year was they murder?\"\n },\n {\n \"89522\": \"Why was she in court Thursday?\"\n },\n {\n \"89523\": \"Does she have a lawyer?\"\n },\n {\n \"89524\": \"More than one?\"\n },\n {\n \"89525\": \"Who are they?\"\n },\n {\n \"89526\": \"What were they giving to the jury?\"\n },\n {\n \"89527\": \"Do they care about her?\"\n },\n {\n \"89528\": \"Where was the appeal happening?\"\n },\n {\n \"89529\": \"Who is the prosecutor?\"\n },\n {\n \"89530\": \"Who did the prosecutor ask the jury to consider?\"\n },\n {\n \"89531\": \"Who did Ghirga ask them to consider?\"\n },\n {\n \"89532\": \"How long did closing arguments take?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89513\",\n \"answer\": \"murder\"\n },\n {\n \"question_id\": \"89514\",\n \"answer\": \"Meredith Kercher\"\n },\n {\n \"question_id\": \"89515\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89516\",\n \"answer\": \"they were housemates\"\n },\n {\n \"question_id\": \"89517\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89518\",\n \"answer\": \"Raffaele Sollecito\"\n },\n {\n \"question_id\": \"89519\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89520\",\n \"answer\": \"2009\"\n },\n {\n \"question_id\": \"89521\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"89522\",\n \"answer\": \"for an appeal\"\n },\n {\n \"question_id\": \"89523\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89524\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89525\",\n \"answer\": \"Carlo Dalla Vedova and Luciano Ghirga\"\n },\n {\n \"question_id\": \"89526\",\n \"answer\": \"closing arguments\"\n },\n {\n \"question_id\": \"89527\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89528\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"89529\",\n \"answer\": \"Giancarlo Costagliola\"\n },\n {\n \"question_id\": \"89530\",\n \"answer\": \"Kercher's family\"\n },\n {\n \"question_id\": \"89531\",\n \"answer\": \"Knox's family\"\n },\n {\n \"question_id\": \"89532\",\n \"answer\": \"a week ago\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Every day since March 8, people all over the world keep asking the same question: Where did Malaysia Airlines Flight MH370 go? It turns out to be the biggest mystery in modern aviation history. In the early hours of March 8, a Boeing 777 took off from Malaysia's capital Kuala Lumpur . It was heading to Beijing. But about two hours into the flight, the plane lost contact. There were 239 people on board the Malaysia Airlines flight, including 154 Chinese. About 12 countries, including China, the US and Australia, have joined the search for the missing plane and passengers. The plane's disappearance was a \"mystery\", said officials. The plane was flying at a height of more than 10,000 meters when it suddenly lost contact. The weather was clear. The pilots didn't make any distress calls . When a plane crashes, broken parts are usually recovered. But up to April 2, officials have not found anything. People are also talking about a possible hijacking. Interpol said that two people on the flight used stolen passports. But that information alone isn't evidence of a hijack. The investigation is still going on. It could take months or even years to find out what happened to the flight. \"We are looking at all possibilities,\" said Malaysian Transport Minister Hishamuddin Hussein. \"The most important thing now is to find the plane.\" On March 24 came a piece of sad news. Malaysian Prime Minister Najib Razak said that the plane \"ended in the southern Indian Ocean\". Everyone on the plane died. But the mystery is still not solved. Nobody is giving up. China has said it will work hard to find out the truth at all costs.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79899\": \"what is the plane number?\"\n },\n {\n \"79900\": \"who owned the plane?\"\n },\n {\n \"79901\": \"where did it originate?\"\n },\n {\n \"79902\": \"where was it's destination?\"\n },\n {\n \"79903\": \"how many persons on the trip?\"\n },\n {\n \"79904\": \"what type of plane was it?\"\n },\n {\n \"79905\": \"what occurred with it?\"\n },\n {\n \"79906\": \"was it stormy?\"\n },\n {\n \"79907\": \"what was it like outside?\"\n },\n {\n \"79908\": \"did the captain signal for help?\"\n },\n {\n \"79909\": \"which PM is mentioned?\"\n },\n {\n \"79910\": \"what country does he represent?\"\n },\n {\n \"79911\": \"did he say something?\"\n },\n {\n \"79912\": \"what?\"\n },\n {\n \"79913\": \"when did the plane depart?\"\n },\n {\n \"79914\": \"in the afternoon?\"\n },\n {\n \"79915\": \"when?\"\n },\n {\n \"79916\": \"was foul play suspected?\"\n },\n {\n \"79917\": \"who was suspicious?\"\n },\n {\n \"79918\": \"why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79899\",\n \"answer\": \"MH370\"\n },\n {\n \"question_id\": \"79900\",\n \"answer\": \"Malaysia Airlines\"\n },\n {\n \"question_id\": \"79901\",\n \"answer\": \"Kuala Lumpur\"\n },\n {\n \"question_id\": \"79902\",\n \"answer\": \"Beijing\"\n },\n {\n \"question_id\": \"79903\",\n \"answer\": \"239\"\n },\n {\n \"question_id\": \"79904\",\n \"answer\": \"Boeing 777\"\n },\n {\n \"question_id\": \"79905\",\n \"answer\": \"lost contact\"\n },\n {\n \"question_id\": \"79906\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79907\",\n \"answer\": \"clear\"\n },\n {\n \"question_id\": \"79908\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79909\",\n \"answer\": \"Najib Razak\"\n },\n {\n \"question_id\": \"79910\",\n \"answer\": \"Malaysia\"\n },\n {\n \"question_id\": \"79911\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79912\",\n \"answer\": \"the plane \\\"ended in the southern Indian Ocean\\\".\"\n },\n {\n \"question_id\": \"79913\",\n \"answer\": \"March 8\"\n },\n {\n \"question_id\": \"79914\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79915\",\n \"answer\": \"early hours\"\n },\n {\n \"question_id\": \"79916\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79917\",\n \"answer\": \"People\"\n },\n {\n \"question_id\": \"79918\",\n \"answer\": \"two people on the flight used stolen passports\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Lewis Hamilton extended his Formula One drivers' championship lead after finishing second behind Red Bull's Mark Webber at the British Grand Prix. \n\nWorld champion Jenson Button, who narrowly missed out on his first podium finish at Silverstone after coming fourth, still trails McLaren teammate Hamilton in second. \n\nThird-placed Webber stormed back into title contention after winning his third race of the season. The Australian leapfroged fellow Red Bull driver Sebastian Vettel, who is 24 points adrift of Hamilton in fourth. \n\nMcLaren also lead Red Bull by 29 points at the top of the constructors' championship. \n\nFerrari's Fernando Alonso stayed fifth overall but lost ground after earning no points, ending the race in 14th after being given a drive-through penalty for illegally overtaking Robert Kubica of Renault off the track. \n\nNico Rosberg of Germany continues to outperform his Mercedes teammate Michael Schumacher, recording his third podium finish this season to replace Kubica in sixth. \n\nDrivers' Championship (after 10 rounds): \n\n1. Lewis Hamilton (GB) McLaren 145 points \n\n2. Jenson Button (GB) McLaren 133 \n\n3. Mark Webber (Aus) Red Bull 128 \n\n4. Sebastian Vettel (Ger) Red Bull 121 \n\n5. Fernando Alonso (Sp) Ferrari 98 \n\n6. Nico Rosberg (Ger) Mercedes GP 90 Constructors' Championship: \n\n1. McLaren 278 points \n\n2. Red Bull 249 \n\n3. Ferrari 165 \n\n4. Mercedes GP 126 \n\n5. Renault 89 \n\n6. Force India 47 \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54128\": \"What sport does Lewis Hamilton compete in?\"\n },\n {\n \"54129\": \"Did he compete in the British Grand Prix?\"\n },\n {\n \"54130\": \"What did he place?\"\n },\n {\n \"54131\": \"Behind whom?\"\n },\n {\n \"54132\": \"How many races has he won this season?\"\n },\n {\n \"54133\": \"For what brand does he drive?\"\n },\n {\n \"54134\": \"Who is another driver for that brand?\"\n },\n {\n \"54135\": \"Which team is ahead of Red Bull?\"\n },\n {\n \"54136\": \"By how much?\"\n },\n {\n \"54137\": \"Where did Ferrari's driver end the race?\"\n },\n {\n \"54138\": \"What is his name?\"\n },\n {\n \"54139\": \"Was he given a penalty?\"\n },\n {\n \"54140\": \"For what?\"\n },\n {\n \"54141\": \"Who?\"\n },\n {\n \"54142\": \"Which team does he drive for?\"\n },\n {\n \"54143\": \"Which German drives for Mercedes?\"\n },\n {\n \"54144\": \"Who is his teammate?\"\n },\n {\n \"54145\": \"Who is performing better?\"\n },\n {\n \"54146\": \"Who is currently ranked first in the Championship?\"\n },\n {\n \"54147\": \"After how many rounds?\"\n },\n {\n \"54148\": \"Which Championship is it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54128\",\n \"answer\": \"Formula One\"\n },\n {\n \"question_id\": \"54129\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54130\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"54131\",\n \"answer\": \"Mark Webber\"\n },\n {\n \"question_id\": \"54132\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"54133\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"54134\",\n \"answer\": \"Mark Webber\"\n },\n {\n \"question_id\": \"54135\",\n \"answer\": \"McLaren\"\n },\n {\n \"question_id\": \"54136\",\n \"answer\": \"29 points\"\n },\n {\n \"question_id\": \"54137\",\n \"answer\": \"14th\"\n },\n {\n \"question_id\": \"54138\",\n \"answer\": \"Fernando Alonso\"\n },\n {\n \"question_id\": \"54139\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54140\",\n \"answer\": \"illegally overtaking\"\n },\n {\n \"question_id\": \"54141\",\n \"answer\": \"Robert Kubica\"\n },\n {\n \"question_id\": \"54142\",\n \"answer\": \"Renault\"\n },\n {\n \"question_id\": \"54143\",\n \"answer\": \"Nico Rosberg\"\n },\n {\n \"question_id\": \"54144\",\n \"answer\": \"Michael Schumacher\"\n },\n {\n \"question_id\": \"54145\",\n \"answer\": \"Nico\"\n },\n {\n \"question_id\": \"54146\",\n \"answer\": \"McLaren\"\n },\n {\n \"question_id\": \"54147\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"54148\",\n \"answer\": \"Drivers' Championship\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sleep is very important. A person who does not sleep dies faster than a person who does not eat. We spend about a third (1/3) of our lives sleeping. That's about 121 days a year! How much sleep do we need? We are all different. A baby needs 16 hours of sleep every day. Children 6 to 12 years old need an average of 10 to 12 hours of sleep. Teenagers need 9 to 10 hours of sleep. An adult needs an average of 7 to 8 hours a night. There are some people who need only 3 hours of sleep. Others need 10 hours of sleep. After the age of 50, the average sleep time goes down to 6.5 hours a night. We need less sleep as we get older. About one in three Americans has a problem with sleep. Many of these people can't fall asleep. The name of this problem is _ . Some people say, \"I didn't sleep all night.\" But that's not really true. They may sleep lightly and wake up several times. In the morning, they only remember the times they were awake , so they think they were awake all night. This is not a new problem. Many famous people in history had insomnia. Some of these people had special ideas to make them sleep. Benjamin Franklin had four beds. He moved from one to another to fall asleep. Mark Twain had a different way. He lay on his side across the end of the bed!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15620\": \"How much time do we spend sleeping a year?\"\n },\n {\n \"15621\": \"How much do we need?\"\n },\n {\n \"15622\": \"Do we need more as we age?\"\n },\n {\n \"15623\": \"How much less?\"\n },\n {\n \"15624\": \"How much do babies need?\"\n },\n {\n \"15625\": \"What about teens?\"\n },\n {\n \"15626\": \"How much of our lives are we asleep?\"\n },\n {\n \"15627\": \"Does too little sleep impact your health?\"\n },\n {\n \"15628\": \"How so?\"\n },\n {\n \"15629\": \"What is insomnia?\"\n },\n {\n \"15630\": \"Did anyone famous have it?\"\n },\n {\n \"15631\": \"Did anything help him to sleep?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15620\",\n \"answer\": \"About 121 days a year.\"\n },\n {\n \"question_id\": \"15621\",\n \"answer\": \"We are all different.\"\n },\n {\n \"question_id\": \"15622\",\n \"answer\": \"No, we need less.\"\n },\n {\n \"question_id\": \"15623\",\n \"answer\": \"6.5 hours a night.\"\n },\n {\n \"question_id\": \"15624\",\n \"answer\": \"16 hours.\"\n },\n {\n \"question_id\": \"15625\",\n \"answer\": \"9 to 10 hours.\"\n },\n {\n \"question_id\": \"15626\",\n \"answer\": \"a third.\"\n },\n {\n \"question_id\": \"15627\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"15628\",\n \"answer\": \"You die faster from not sleeping than not eating.\"\n },\n {\n \"question_id\": \"15629\",\n \"answer\": \"People can't fall asleep.\"\n },\n {\n \"question_id\": \"15630\",\n \"answer\": \"Benjamin Franklin.\"\n },\n {\n \"question_id\": \"15631\",\n \"answer\": \"He had four beds he moved between.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (InStyle) -- Oscar night is Hollywood's main fashion event, and most notable on the red carpet this year was our favorite actresses stepping out in uber feminine -- not just fashion forward -- looks. \n\nIndeed, from the most delicate shades of blush to the boldest fuchsia, the red carpet turned pink! Exaggerated ruffles, soft draping, frothy fabrics, dramatic trains and Cinderella-esque silhouettes gave new meaning to the term Hollywood royalty. \n\nThe few celebrities who bucked the romantic trend, including Sarah Jessica Parker, Sandra Bullock and Meryl Streep, chose sophisticated styles with retro vibes. \n\nFrom a timeless beauty (Demi Moore) to a graceful Hollywood icon (Meryl Streep), here are the night's fashion winners. \n\nDemi Moore \n\nDemi Moore often chooses classic, tailored cuts, but last night she glowed in a stunning blush-toned Atelier Versace silk organza gown with petal-like tiers of ruffles. She finished off this softer look with Van Cleef & Arpels tassel earrings and diamond cuffs, a gold leather Salvatore Ferragamo clutch and dress-matching Versace satin sandals. \n\nDiane Kruger \n\nThe ever-flawless Diane Kruger turned to her favorite designer Karl Lagerfeld for her cream and black chiffon gown from Chanel Haute Couture. Both edgy and feminine, the design featured a pleated and ruffled skirt that led into a bow-bedecked mermaid train. \n\nSee more dresses from the 2010 Academy Awards \n\nJennifer Lopez \n\nWe love the way Jennifer Lopez commands the red carpet in dramatic dresses, and her choice this year was no exception. Yet rather than going sexy (down-to-there Versace, anyone?), the diva went spectacular in a full-on princess-shaped icy pink Armani Prive confection with a Swarovski crystal-studded waterfall train. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67617\": \"What color is the carpet?\"\n },\n {\n \"67618\": \"on what occasion?\"\n },\n {\n \"67619\": \"where?\"\n },\n {\n \"67620\": \"what is it?\"\n },\n {\n \"67621\": \"what color did it change to?\"\n },\n {\n \"67622\": \"who had vintage style?\"\n },\n {\n \"67623\": \"anyone else?\"\n },\n {\n \"67624\": \"anyone else?\"\n },\n {\n \"67625\": \"what was the style called?\"\n },\n {\n \"67626\": \"who chose a pink princess theme?\"\n },\n {\n \"67627\": \"what designer?\"\n },\n {\n \"67628\": \"did her dress have a train?\"\n },\n {\n \"67629\": \"what style?\"\n },\n {\n \"67630\": \"what was on it?\"\n },\n {\n \"67631\": \"what year were these awards?\"\n },\n {\n \"67632\": \"who wore Versace shoes?\"\n },\n {\n \"67633\": \"what style?\"\n },\n {\n \"67634\": \"what material?\"\n },\n {\n \"67635\": \"who was considered an icon?\"\n },\n {\n \"67636\": \"and what about the timeless beauty?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"67617\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"67618\",\n \"answer\": \"Oscar night\"\n },\n {\n \"question_id\": \"67619\",\n \"answer\": \"Hollywood\"\n },\n {\n \"question_id\": \"67620\",\n \"answer\": \"a fashion event,\"\n },\n {\n \"question_id\": \"67621\",\n \"answer\": \"pink\"\n },\n {\n \"question_id\": \"67622\",\n \"answer\": \"Sarah Jessica Parker\"\n },\n {\n \"question_id\": \"67623\",\n \"answer\": \"Sandra Bullock\"\n },\n {\n \"question_id\": \"67624\",\n \"answer\": \"Meryl Streep\"\n },\n {\n \"question_id\": \"67625\",\n \"answer\": \"romantic\"\n },\n {\n \"question_id\": \"67626\",\n \"answer\": \"Jennifer Lopez\"\n },\n {\n \"question_id\": \"67627\",\n \"answer\": \"Armani\"\n },\n {\n \"question_id\": \"67628\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67629\",\n \"answer\": \"waterfall\"\n },\n {\n \"question_id\": \"67630\",\n \"answer\": \"Swarovski crystas\"\n },\n {\n \"question_id\": \"67631\",\n \"answer\": \"2010\"\n },\n {\n \"question_id\": \"67632\",\n \"answer\": \"Demi Moore\"\n },\n {\n \"question_id\": \"67633\",\n \"answer\": \"sandals\"\n },\n {\n \"question_id\": \"67634\",\n \"answer\": \"satin\"\n },\n {\n \"question_id\": \"67635\",\n \"answer\": \"Meryl Streep\"\n },\n {\n \"question_id\": \"67636\",\n \"answer\": \"Demi 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) -- Ringo Starr walks into the hotel suite at the Beverly Hills Hotel carrying a brown paper bag. \n\nIt's his sack lunch, and he's packed it himself. He's also driven himself to the hotel and arrived alone -- no entourage, no bodyguard, no assistant, no fuss. \n\nIt's fitting that CNN's interview with the iconic music star is taking place at an iconic hotel, which is like a second home to the former Beatle. This is where the Fab Four stayed when they first came to Hollywood in 1964, no doubt trailed by dozens of screaming girls and photographers as they ushered in the British Invasion. \n\nLooking at least a decade younger than his 71 years, Starr settles into the corner of a couch and talks about celebrity then vs. celebrity now -- this from the perspective of a man who has been famous for nearly 50 years. \n\n\"I feel like it's harder now for the celebrities,\" he tells CNN Entertainment Correspondent Kareen Wynter. \"There was no one bigger than us, and we were put upon. Then, Paul and I would go on holiday, or John and I would go on holidays, and we'd be fine. Now you can't go anywhere. The celebrity of today is so documented that I think it's a lot harder now. We had it easy. We thought it was hard, but not compared to today.\" \n\nIn 2012, his star hasn't waned. It has just taken on a comfortable glow. As one of two surviving Beatles, people are treating him like a living treasure -- and these days, he and Paul McCartney seem to be treasuring each other. Starr remains touched that Macca showed up at his 70th birthday party at Radio City Music Hall. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55904\": \"What is Ringo carrying?\"\n },\n {\n \"55905\": \"whats in it?\"\n },\n {\n \"55906\": \"Where is he going?\"\n },\n {\n \"55907\": \"where?\"\n },\n {\n \"55908\": \"with who?\"\n },\n {\n \"55909\": \"who is that?\"\n },\n {\n \"55910\": \"has he been there before?\"\n },\n {\n \"55911\": \"Is he famous?\"\n },\n {\n \"55912\": \"why?\"\n },\n {\n \"55913\": \"How many were there?\"\n },\n {\n \"55914\": \"Are they all alive now?\"\n },\n {\n \"55915\": \"HOw many are alive now?\"\n },\n {\n \"55916\": \"How do people treat him now?\"\n },\n {\n \"55917\": \"HOw old is he?\"\n },\n {\n \"55918\": \"How long has he been famous?\"\n },\n {\n \"55919\": \"Are they American?\"\n },\n {\n \"55920\": \"What nationality?\"\n },\n {\n \"55921\": \"Where did he stay in 1964?\"\n },\n {\n \"55922\": \"trailed by who?\"\n },\n {\n \"55923\": \"What did he talk about in the interview?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55904\",\n \"answer\": \"brown paper bag\"\n },\n {\n \"question_id\": \"55905\",\n \"answer\": \"sack lunch\"\n },\n {\n \"question_id\": \"55906\",\n \"answer\": \"CNN interview\"\n },\n {\n \"question_id\": \"55907\",\n \"answer\": \"Beverly Hills Hotel\"\n },\n {\n \"question_id\": \"55908\",\n \"answer\": \"Kareen Wynter\"\n },\n {\n \"question_id\": \"55909\",\n \"answer\": \"CNN Entertainment Correspondent\"\n },\n {\n \"question_id\": \"55910\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55911\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55912\",\n \"answer\": \"former Beatles member\"\n },\n {\n \"question_id\": \"55913\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"55914\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"55915\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"55916\",\n \"answer\": \"like a living treasure\"\n },\n {\n \"question_id\": \"55917\",\n \"answer\": \"71\"\n },\n {\n \"question_id\": \"55918\",\n \"answer\": \"nearly 50 years.\"\n },\n {\n \"question_id\": \"55919\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55920\",\n \"answer\": \"British\"\n },\n {\n \"question_id\": \"55921\",\n \"answer\": \"Beverly Hills Hotel\"\n },\n {\n \"question_id\": \"55922\",\n \"answer\": \"screaming girls and photographers\"\n },\n {\n \"question_id\": \"55923\",\n \"answer\": \"celebrity then vs. celebrity now\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jean is a bright young woman who comes from a rich and famous family. She goes to a good university and has everything that money can buy, well, almost everything. The problem is that the people in Jean's family are so busy that they can hardly find time to be with her. In fact, Jean is quite lonely. So Jean spends a lot of time on her QQ. She likes being anonymous , talking to people who do not know about her famous family and her rich life. She uses the name Linda on QQ and has made a lot of friends who she keeps in touch with quite often. Last year Jean made a very special friend on QQ. His name was David and lived in San Francisco. David was full of stories and jokes. He and Jean had a common interest in rock music and modern dance. So it always took them hours to talk happily on QQ and sometimes they even forgot their time. Of course, they wanted to know more about each other. David sent a picture of himself. He was a tall, good-looking young man with a big happy smile. As time went by, they became good friends and often sent cards and small things to each other. When Jean's father told her that he was going on a business trip to San Francisco, she asked him to let her go with him so that she could give David a surprise for his birthday. She would take him the latest DVD of their own rock singer. But when she knocked on David's door in San Francisco, she found that her special friend was a twelve-year-old boy named Jim.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82080\": \"What messaging tool does Jean use?\"\n },\n {\n \"82081\": \"Why does she use it?\"\n },\n {\n \"82082\": \"Why?\"\n },\n {\n \"82083\": \"Do they make a lot of cash?\"\n },\n {\n \"82084\": \"What's her username on the messenger?\"\n },\n {\n \"82085\": \"How many friends does she have?\"\n },\n {\n \"82086\": \"Has she had any serious relationships on it?\"\n },\n {\n \"82087\": \"What was his name?\"\n },\n {\n \"82088\": \"What about his real name?\"\n },\n {\n \"82089\": \"What did Jean's parents think of the relationship?\"\n },\n {\n \"82090\": \"Did David send her an image?\"\n },\n {\n \"82091\": \"Did she send him one?\"\n },\n {\n \"82092\": \"What did they mostly chat about?\"\n },\n {\n \"82093\": \"What was Jean's reaction to his true identity?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82080\",\n \"answer\": \"QQ.\"\n },\n {\n \"question_id\": \"82081\",\n \"answer\": \"she is lonely\"\n },\n {\n \"question_id\": \"82082\",\n \"answer\": \"Jean's family is busy\"\n },\n {\n \"question_id\": \"82083\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82084\",\n \"answer\": \"Linda\"\n },\n {\n \"question_id\": \"82085\",\n \"answer\": \"a lot\"\n },\n {\n \"question_id\": \"82086\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82087\",\n \"answer\": \"David\"\n },\n {\n \"question_id\": \"82088\",\n \"answer\": \"Jim.\"\n },\n {\n \"question_id\": \"82089\",\n \"answer\": \"They were Ok with it\"\n },\n {\n \"question_id\": \"82090\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82091\",\n \"answer\": \"Not sure\"\n },\n {\n \"question_id\": \"82092\",\n \"answer\": \"rock music and modern dance.\"\n },\n {\n \"question_id\": \"82093\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Korean language (, see below) is the official and national language of both Koreas: the Democratic People's Republic of Korea (North Korea) and the Republic of Korea (South Korea), with different standardized official forms used in each territory. It is also one of the two official languages in the Yanbian Korean Autonomous Prefecture and Changbai Korean Autonomous County of the People's Republic of China. Approximately 80 million people worldwide speak Korean. \n\nHistorical and modern linguists classify Korean as a language isolate; however, it does have a few extinct relatives, which together with Korean itself and the Jeju language (spoken in the Jeju Province and considered somewhat distinct) form the Koreanic language family. This implies that Korean is not an isolate, but a member of a small family. The idea that Korean belongs to the controversial Altaic language family is discredited in academic research. There is still debate about a relation to Dravidian languages and on whether Korean and Japanese are related to each other. The Korean language is agglutinative in its morphology and SOV in its syntax. \n\nModern Korean descends from Middle Korean, which in turn descends from Old Korean, which descends from the language spoken in Prehistoric Korea (labeled Proto-Korean), whose nature is debated, in part because Korean genetic origins are controversial. A relation of Korean (together with its extinct relatives which form the Koreanic family) with Japonic languages has been proposed by linguists such as William George Aston and Samuel Martin. Roy Andrew Miller and others suggested or supported the inclusion of Koreanic and Japonic languages in the purported Altaic family (a macro-family that would comprise Tungusic, Mongolian and Turkic families); the Altaic hypothesis has since been largely rejected by most linguistic specialists.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86243\": \"Where does modern Korean descend from?\"\n },\n {\n \"86244\": \"And where does that descend from?\"\n },\n {\n \"86245\": \"What do linguists classify Korean as?\"\n },\n {\n \"86246\": \"What is the official and national language of both Koreas?\"\n },\n {\n \"86247\": \"What is another name for The Democratic People's Republic of Korea?\"\n },\n {\n \"86248\": \"And what is South Korea?\"\n },\n {\n \"86249\": \"About how many people speak Korean worldwide?\"\n },\n {\n \"86250\": \"What is William George Aston?\"\n },\n {\n \"86251\": \"And Samuel Martin?\"\n },\n {\n \"86252\": \"Do we know whether Korean and Japanese are related?\"\n },\n {\n \"86253\": \"What is Korean in its morphology?\"\n },\n {\n \"86254\": \"Where is it one of the two official languages?\"\n },\n {\n \"86255\": \"Where is the Jeju language spoken?\"\n },\n {\n \"86256\": \"What is discredited in academic research?\"\n },\n {\n \"86257\": \"And what is there still debate about?\"\n },\n {\n \"86258\": \"What is another name for the language spoken in Prehistoric Korea?\"\n },\n {\n \"86259\": \"Why is its nature debated?\"\n },\n {\n \"86260\": \"What form the Koreanic family?\"\n },\n {\n \"86261\": \"What did Roy Andrew Miller suggest?\"\n },\n {\n \"86262\": \"Was he alone in suggesting that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86243\",\n \"answer\": \"Middle Korean\"\n },\n {\n \"question_id\": \"86244\",\n \"answer\": \"Old Korean\"\n },\n {\n \"question_id\": \"86245\",\n \"answer\": \"a language isolate\"\n },\n {\n \"question_id\": \"86246\",\n \"answer\": \"Korean\"\n },\n {\n \"question_id\": \"86247\",\n \"answer\": \"North Korea\"\n },\n {\n \"question_id\": \"86248\",\n \"answer\": \"the Republic of Korea\"\n },\n {\n \"question_id\": \"86249\",\n \"answer\": \"80 million\"\n },\n {\n \"question_id\": \"86250\",\n \"answer\": \"a linguist\"\n },\n {\n \"question_id\": \"86251\",\n \"answer\": \"a linguist\"\n },\n {\n \"question_id\": \"86252\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86253\",\n \"answer\": \"agglutinative\"\n },\n {\n \"question_id\": \"86254\",\n \"answer\": \"the Yanbian Korean Autonomous Prefecture\"\n },\n {\n \"question_id\": \"86255\",\n \"answer\": \"the Jeju Province\"\n },\n {\n \"question_id\": \"86256\",\n \"answer\": \"The idea that Korean belongs to the controversial Altaic language family\"\n },\n {\n \"question_id\": \"86257\",\n \"answer\": \"a relation to Dravidian languages\"\n },\n {\n \"question_id\": \"86258\",\n \"answer\": \"Proto-Korean\"\n },\n {\n \"question_id\": \"86259\",\n \"answer\": \"Korean genetic origins are controversial\"\n },\n {\n \"question_id\": \"86260\",\n \"answer\": \"Korean and its extinct relatives\"\n },\n {\n \"question_id\": \"86261\",\n \"answer\": \"the inclusion of Koreanic and Japonic languages in the purported Altaic family\"\n },\n {\n \"question_id\": \"86262\",\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 Perugia, Italy (CNN) -- A defense lawyer for Amanda Knox made an impassioned plea to the jury Wednesday as the high-profile case neared its conclusion. Knox is the American student accused of killing her British roommate, Meredith Kercher, at the villa they shared in Italy. \n\n\"We suffer at the memory of Meredith. But we look at the future of Amanda,\" Luciano Ghirga said in his defense summation. \n\n\"Meredith was my friend,\" he quoted Knox as saying, rejecting the notion that she hated her roommate, who was fatally stabbed in November 2007. \n\nProsecutors say Kercher died during a twisted sex game in which Knox taunted Kercher, and two men -- Knox's then-boyfriend Raffaele Sollecito, 26, and acquaintance Rudy Guede -- sexually assaulted her. \n\nThe prosecution says a knife found in Sollecito's house had Knox's DNA on the handle and Kercher's on the blade, among other pieces of evidence. \n\nBut Ghirga rejected the accusations against Knox on Wednesday. \n\nHe attacked the way police and prosecutors had treated the defendant, giving them a symbolic \"red card\" -- a referee's sign in soccer that a player is being expelled from the game for breaking the rules. \n\nGhirga concluded an emotional oration -- sobbing as he came to the end -- by asking the judge and jury to acquit Knox, because her mother asked him to request it, because her family asked it. \n\nKnox's father, Curt, said Wednesday she had been a victim of \"character assassination,\" and expressed hope she would be found not guilty. \n\nMembers of Kercher's family have declined repeated CNN requests for comment on the case. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68507\": \"Where is this article written at?\"\n },\n {\n \"68508\": \"Who is the article referring to?\"\n },\n {\n \"68509\": \"Who killed her?\"\n },\n {\n \"68510\": \"Where is Knox from?\"\n },\n {\n \"68511\": \"Where were they when the alleged death occur?\"\n },\n {\n \"68512\": \"Were they staying in a hostel?\"\n },\n {\n \"68513\": \"Was there anyone else allegedly there?\"\n },\n {\n \"68514\": \"Any males?\"\n },\n {\n \"68515\": \"How many?\"\n },\n {\n \"68516\": \"Were there any weapons involved?\"\n },\n {\n \"68517\": \"Was it at the crime scene?\"\n },\n {\n \"68518\": \"Where was it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68507\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"68508\",\n \"answer\": \"Meredith\"\n },\n {\n \"question_id\": \"68509\",\n \"answer\": \"Amanda Knox\"\n },\n {\n \"question_id\": \"68510\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"68511\",\n \"answer\": \"Italy\"\n },\n {\n \"question_id\": \"68512\",\n \"answer\": \"a villa\"\n },\n {\n \"question_id\": \"68513\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68514\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68515\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"68516\",\n \"answer\": \"a knife\"\n },\n {\n \"question_id\": \"68517\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"68518\",\n \"answer\": \"Sollecito's house\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Defending champions Manchester United made it two wins out of two in the new English Premier League season as they beat Tottenham 3-0 at Old Trafford. \n\nSecond half goals from Danny Welbeck, Anderson and Wayne Rooney sealed a comfortable victory for Alex Ferguson's youthful side, who went joint top of the table. \n\nIt marked defeat for Tottenham in their opening game of the season after their first fixture of the new campaign was canceled due to the London riots. \n\nVictory took United level at the summit with rivals Manchester City, who maintained their 100 per cent record with a 3-2 win at Bolton on Sunday. \n\nUnited manager Alex Ferguson told Sky Sports: \"The second half was absolutely fantastic. I thought it a fast game, end-to-end, it was very even but in the second half we took off and it was a fantastic performance.\" \n\nOn hearing it was the second youngest team Manchester United had fielded in the Premier League era Ferguson added: \"It tells you we still believe in young players, more so when you see the ability they've got. \n\n\"This group have fantastic ability -- they force you to play them.\" \n\nOn Welbeck he added: \"He's always shown great loyalty Danny, when we put him on loan at Sunderland last season that's when he grew up. \n\n\"He's a bit rangy, a long-legged boy who can gallop quickly, he's a good footballer and has a great attitude to win the ball back.\" \n\nTom Cleverley was the first to test Tottenham's goalkeeper Brad Friedel as the veteran American turned his goal-bound effort round the post before Ashley Young went close with a looping header from Rooney's cross. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82382\": \"Whats was the Score of the game Between Manchester United and tottenham?\"\n },\n {\n \"82383\": \"What did Fergison Uniteds Manager tell Sky sports?\"\n },\n {\n \"82384\": \"Where was the game held?\"\n },\n {\n \"82385\": \"What was canceled because of the London riots?\"\n },\n {\n \"82386\": \"Who was the first to test Totterham's goal keeper?\"\n },\n {\n \"82387\": \"What country is he from?\"\n },\n {\n \"82388\": \"What was the goal keepers name?\"\n },\n {\n \"82389\": \"Who had a 3-2 win at Bolton on Sunday?\"\n },\n {\n \"82390\": \"What is there current record?\"\n },\n {\n \"82391\": \"Who went close with a looping header from Rooney cross?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82382\",\n \"answer\": \"English Premier League season as they beat Tottenham 3-0\"\n },\n {\n \"question_id\": \"82383\",\n \"answer\": \"\\\"The second half was absolutely fantastic. I thought it a fast game, end-to-end, it was very even but in the second half we took off and it was a fantastic performance.\\\"\"\n },\n {\n \"question_id\": \"82384\",\n \"answer\": \"Old Trafford\"\n },\n {\n \"question_id\": \"82385\",\n \"answer\": \"new campaign\"\n },\n {\n \"question_id\": \"82386\",\n \"answer\": \"Tom Cleverley\"\n },\n {\n \"question_id\": \"82387\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"82388\",\n \"answer\": \"Brad Friedel\"\n },\n {\n \"question_id\": \"82389\",\n \"answer\": \"Manchester United\"\n },\n {\n \"question_id\": \"82390\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"82391\",\n \"answer\": \"Ashley Young\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In the ancient Arabic story called Ali Baba and the Forty Thieves, the young hero Ali Baba said \"Open Sesame\" and a door to hidden treasures was opened to him.The old story had a special meaning for Ma Yun.He drew inspiration from _ for Alibaba.com - Chinese largest e-commerce website. In 1995, Ma Yun was working for a US trading company when he was introduced to the Internet.\"I know nothing about computers and has never touched a keyboard,\" he said.He searched the word \"beer\" and nothing came up about Chinese products. Ma Yun had an idea.Why not build a large Internet market to connect customers with companies from all over the world? They could do business online in that way.That was how Alibaba began.His company grew quickly.But that didn't mean everything went smoothly.In 2000, many Internet companies failed including Alibaba.But later, he was successful because he managed to attract investment into his company.\"You should stick to your dream,\" he said.\"Everyone thought I was daydreaming when I started.But the most important thing is that we believe in our dream from past to today and tomorrow.Of course we made many mistakes, but we never give up.\" Ma Yun is also smart.For him, success in business is like trying to catch a rabbit.If there are nine rabbits, focus on catching one - don't try to catch them all,\" he said.\"Change your ways if you need to, but don't change the rabbit.Get one first, put it in your pocket and then catch the others.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41179\": \"What culture is the story from?\"\n },\n {\n \"41180\": \"How many stealers?\"\n },\n {\n \"41181\": \"What was his catchphrase?\"\n },\n {\n \"41182\": \"Was it meaningful for Ma Yun?\"\n },\n {\n \"41183\": \"What site did he start?\"\n },\n {\n \"41184\": \"Where did he work?\"\n },\n {\n \"41185\": \"When?\"\n },\n {\n \"41186\": \"Had he seen the internet before?\"\n },\n {\n \"41187\": \"Was he knowledgeable about technology?\"\n },\n {\n \"41188\": \"What keyword did he use?\"\n },\n {\n \"41189\": \"Did he get information about Chinese things?\"\n },\n {\n \"41190\": \"What was his idea?\"\n },\n {\n \"41191\": \"When did many businesses fail?\"\n },\n {\n \"41192\": \"Did Alibaba fail too?\"\n },\n {\n \"41193\": \"Did he quit?\"\n },\n {\n \"41194\": \"How many bunnies were there originally?\"\n },\n {\n \"41195\": \"How many bunnies should you capture?\"\n },\n {\n \"41196\": \"And then do what with it?\"\n },\n {\n \"41197\": \"And then what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41179\",\n \"answer\": \"Arabic\"\n },\n {\n \"question_id\": \"41180\",\n \"answer\": \"40\"\n },\n {\n \"question_id\": \"41181\",\n \"answer\": \"Open Sesame\"\n },\n {\n \"question_id\": \"41182\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"41183\",\n \"answer\": \"Alibaba.com\"\n },\n {\n \"question_id\": \"41184\",\n \"answer\": \"a US trading company\"\n },\n {\n \"question_id\": \"41185\",\n \"answer\": \"In 1995\"\n },\n {\n \"question_id\": \"41186\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41187\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41188\",\n \"answer\": \"beer\"\n },\n {\n \"question_id\": \"41189\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41190\",\n \"answer\": \"build a large Internet market\"\n },\n {\n \"question_id\": \"41191\",\n \"answer\": \"2000\"\n },\n {\n \"question_id\": \"41192\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"41193\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41194\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"41195\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"41196\",\n \"answer\": \"put it in your pocket\"\n },\n {\n \"question_id\": \"41197\",\n \"answer\": \"catch the others\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 August 1836, two real estate entrepreneurs—Augustus Chapman Allen and John Kirby Allen—from New York, purchased 6,642 acres (26.88 km2) of land along Buffalo Bayou with the intent of founding a city. The Allen brothers decided to name the city after Sam Houston, the popular general at the Battle of San Jacinto, who was elected President of Texas in September 1836. The great majority of slaves in Texas came with their owners from the older slave states. Sizable numbers, however, came through the domestic slave trade. New Orleans was the center of this trade in the Deep South, but there were slave dealers in Houston. Thousands of enslaved African-Americans lived near the city before the Civil War. Many of them near the city worked on sugar and cotton plantations, while most of those in the city limits had domestic and artisan jobs. In 1860 forty-nine percent of the city's population was enslaved. A few slaves, perhaps as many as 2,000 between 1835 and 1865, came through the illegal African trade. Post-war Texas grew rapidly as migrants poured into the cotton lands of the state. They also brought or purchased enslaved African Americans, whose numbers nearly tripled in the state from 1850 to 1860, from 58,000 to 182,566.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64718\": \"Who was Sam Houston?\"\n },\n {\n \"64719\": \"What else was important in his life?\"\n },\n {\n \"64720\": \"In 1860 what percent of Houston's population was comprised by slaves?\"\n },\n {\n \"64721\": \"Where did most of them come from?\"\n },\n {\n \"64722\": \"Was there a slave trade in Houston?\"\n },\n {\n \"64723\": \"Before the Civil War were there plantations near Houston?\"\n },\n {\n \"64724\": \"What kind?\"\n },\n {\n \"64725\": \"Were there slaves working on them?\"\n },\n {\n \"64726\": \"What kind of work did slaves in the city do?\"\n },\n {\n \"64727\": \"Were there a lot of slaves from African trade?\"\n },\n {\n \"64728\": \"In 1860 what was the slave population?\"\n },\n {\n \"64729\": \"Who founded the city?\"\n },\n {\n \"64730\": \"Where did they come from?\"\n },\n {\n \"64731\": \"What was their profession?\"\n },\n {\n \"64732\": \"Was African slave trade legal?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64718\",\n \"answer\": \"a general at the Battle of San Jacinto\"\n },\n {\n \"question_id\": \"64719\",\n \"answer\": \"he was elected president of Texas\"\n },\n {\n \"question_id\": \"64720\",\n \"answer\": \"forty-nine\"\n },\n {\n \"question_id\": \"64721\",\n \"answer\": \"the older slave states\"\n },\n {\n \"question_id\": \"64722\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64723\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64724\",\n \"answer\": \"sugar and cotton plantations\"\n },\n {\n \"question_id\": \"64725\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64726\",\n \"answer\": \"domestic and artisan jobs\"\n },\n {\n \"question_id\": \"64727\",\n \"answer\": \"a few\"\n },\n {\n \"question_id\": \"64728\",\n \"answer\": \"182,566\"\n },\n {\n \"question_id\": \"64729\",\n \"answer\": \"Augustus Chapman Allen and John Kirby Allen\"\n },\n {\n \"question_id\": \"64730\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"64731\",\n \"answer\": \"real estate\"\n },\n {\n \"question_id\": \"64732\",\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 Continental Army was created on 14 June 1775 by the Continental Congress as a unified army for the colonies to fight Great Britain, with George Washington appointed as its commander. The army was initially led by men who had served in the British Army or colonial militias and who brought much of British military heritage with them. As the Revolutionary War progressed, French aid, resources, and military thinking influenced the new army. A number of European soldiers came on their own to help, such as Friedrich Wilhelm von Steuben, who taught the army Prussian tactics and organizational skills. \n\nThe Vietnam War is often regarded as a low point for the U.S. Army due to the use of drafted personnel, the unpopularity of the war with the American public, and frustrating restrictions placed on the military by American political leaders. While American forces had been stationed in the Republic of Vietnam since 1959, in intelligence & advising/training roles, they did not deploy in large numbers until 1965, after the Gulf of Tonkin Incident. American forces effectively established and maintained control of the \"traditional\" battlefield, however they struggled to counter the guerrilla hit and run tactics of the communist Viet Cong and the North Vietnamese Army. On a tactical level, American soldiers (and the U.S. military as a whole) did not lose a sizable battle.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11963\": \"Was the Vietnam war popular with American citizens?\"\n },\n {\n \"11964\": \"Who placed restrictions on the military during this time?\"\n },\n {\n \"11965\": \"In what year did forces began deploying in masse?\"\n },\n {\n \"11966\": \"After what event?\"\n },\n {\n \"11967\": \"How many meaningful battles did the Americans lose?\"\n },\n {\n \"11968\": \"In what area of battle did the Americans struggle?\"\n },\n {\n \"11969\": \"Used by whom?\"\n },\n {\n \"11970\": \"What was regarded as an American military low point?\"\n },\n {\n \"11971\": \"What controversial way did the U.S. recruit soldiers?\"\n },\n {\n \"11972\": \"Why had a small number of U.S. forces been stationed in Vietnam as early as 1959?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11963\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11964\",\n \"answer\": \"American political leaders\"\n },\n {\n \"question_id\": \"11965\",\n \"answer\": \"1965\"\n },\n {\n \"question_id\": \"11966\",\n \"answer\": \"after the Gulf of Tonkin Incident\"\n },\n {\n \"question_id\": \"11967\",\n \"answer\": \"none\"\n },\n {\n \"question_id\": \"11968\",\n \"answer\": \"counter the guerrilla hit and run tactics\"\n },\n {\n \"question_id\": \"11969\",\n \"answer\": \"Viet Cong and the North Vietnamese Army\"\n },\n {\n \"question_id\": \"11970\",\n \"answer\": \"The Vietnam War\"\n },\n {\n \"question_id\": \"11971\",\n \"answer\": \"draft\"\n },\n {\n \"question_id\": \"11972\",\n \"answer\": \"in intelligence & advising/training roles\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Every dog has his day, but Sir Lancelot -- or at least his carbon copy -- has a second one. \n\nEdgar and Nina Otto show off 10-week-old Lancey, a clone of \"the most human of any dog we've ever had.\" \n\nA Boca Raton, Florida, couple paid a California firm $155,000 to clone their beloved Labrador retriever, who died from cancer a year ago. The clone, a 10-week-old puppy dubbed Lancey, was hand-delivered to them earlier this week by Lou Hawthorne, chairman of BioArts International, a biotechnology company. \n\n\"One minute with Lancey and you know he's special. He's both extremely aware and very sweet,\" Hawthorne said in a BioArts statement. \n\nEdgar and Nina Otto said they began thinking about cloning Sir Lancelot about five years ago. \n\n\"I said 'Well, you know, it wouldn't hurt to have his DNA frozen,' and that's what we did,\" Nina Otto told CNN affiliate WPBF. \n\nThe Ottos were one of five families to bid and win a BioArts auction for a chance to clone their family dog, according to a BioArts statement. Lancey is the world's first commercially cloned dog, the company said; the Ottos are the first of six current clients to receive their clone. \n\nSir Lancelot's DNA sample was sent to the Sooam Biotech Research Foundation in Seoul, South Korea, which provides cloning services to BioArts. Researchers there put the DNA into an egg, and Lancey was born November 18, according to BioArts. \n\nThe Ottos said they have had many beloved dogs over the years -- and have nine others currently -- but maintain Sir Lancelot was special. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98757\": \"Who is Lancey?\"\n },\n {\n \"98758\": \"Who is he cloned from?\"\n },\n {\n \"98759\": \"What species is he?\"\n },\n {\n \"98760\": \"What did Sir Lancelot act like?\"\n },\n {\n \"98761\": \"What happened to him?\"\n },\n {\n \"98762\": \"was he sick?\"\n },\n {\n \"98763\": \"What did he have?\"\n },\n {\n \"98764\": \"How old is Lancey?\"\n },\n {\n \"98765\": \"Who owns him?\"\n },\n {\n \"98766\": \"How do they feel about him?\"\n },\n {\n \"98767\": \"What did they win?\"\n },\n {\n \"98768\": \"for what?\"\n },\n {\n \"98769\": \"How much did they bid?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98757\",\n \"answer\": \"a clone\"\n },\n {\n \"question_id\": \"98758\",\n \"answer\": \"Sir Lancelot\"\n },\n {\n \"question_id\": \"98759\",\n \"answer\": \"Labrador retriever\"\n },\n {\n \"question_id\": \"98760\",\n \"answer\": \"a human\"\n },\n {\n \"question_id\": \"98761\",\n \"answer\": \"he died\"\n },\n {\n \"question_id\": \"98762\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98763\",\n \"answer\": \"cancer\"\n },\n {\n \"question_id\": \"98764\",\n \"answer\": \"10 weeks\"\n },\n {\n \"question_id\": \"98765\",\n \"answer\": \"Edgar and Nina Otto\"\n },\n {\n \"question_id\": \"98766\",\n \"answer\": \"he's special.\"\n },\n {\n \"question_id\": \"98767\",\n \"answer\": \"an auction\"\n },\n {\n \"question_id\": \"98768\",\n \"answer\": \"BioArts auction for cloning\"\n },\n {\n \"question_id\": \"98769\",\n \"answer\": \"$155,000\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Buenos Aires, Argentina (CNN) -- A former Argentinian dictator and an ex-army chief are scheduled to go on trial this week on charges of human rights abuses during the nation's right-wing rule from 1976-83, the government's Judicial Information Center said. \n\nJorge Rafael Videla was among the coup leaders who overthrew then-President Isabela Martinez de Peron in March 1976. He ruled as dictator until 1981. \n\nAlso scheduled to go on trial this week in a separate proceeding will be Luciano Benjamin Menendez, former head of the Third Army Corps. He is accused of violating the human rights of four people. \n\nThere are 31 defendants in the two trials, the Judicial Information Center said on its website Tuesday. \n\nAnother former dictator, Gen. Reynaldo Benito Bignone, was sentenced in April to 25 years in prison for kidnapping and torturing 56 people. He ruled Argentina from June 1982 until the nation's return to democracy in December 1983. \n\nBignone, 82, faces two other trials: in the abduction and disappearance of doctors and nurses at the Hospital Posada and of two soldiers when he was head of the Military College. \n\nUp to 30,000 students, labor leaders, intellectuals and leftists who ran afoul of the dictatorship because of their political views disappeared or were held in secret jails and torture centers during the nation's eight-year \"Dirty War.\" \n\nIn the trials that start this week, the proceedings for Menendez are slated to begin Thursday in the city of Mendoza. Six other defendants will go on trial with him. \n\nThe trial against former dictator Videla is scheduled to start Friday in Cordoba. He will be joined by 24 other defendants, the Judicial Information Center said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67299\": \"Who was part of a coup?\"\n },\n {\n \"67300\": \"In which country?\"\n },\n {\n \"67301\": \"Who did he and his cohorts overthrow?\"\n },\n {\n \"67302\": \"When?\"\n },\n {\n \"67303\": \"Did he become the leader?\"\n },\n {\n \"67304\": \"Until how long?\"\n },\n {\n \"67305\": \"Who else is on trial?\"\n },\n {\n \"67306\": \"What did he lead?\"\n },\n {\n \"67307\": \"How many people's rights is he said to have hurt?\"\n },\n {\n \"67308\": \"What organization is following the proceedings?\"\n },\n {\n \"67309\": \"Is Videla the only dictator on trial?\"\n },\n {\n \"67310\": \"Who else was on trial?\"\n },\n {\n \"67311\": \"How long will he be in jail?\"\n },\n {\n \"67312\": \"When did Argentina become a democracy again?\"\n },\n {\n \"67313\": \"How many groups that disappeared are mentioned?\"\n },\n {\n \"67314\": \"How old is Bignone?\"\n },\n {\n \"67315\": \"What else was he the leader of?\"\n },\n {\n \"67316\": \"Which medical facility lost employees?\"\n },\n {\n \"67317\": \"Where is Menendez's trial?\"\n },\n {\n \"67318\": \"What about Videla's?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"67299\",\n \"answer\": \"Jorge Rafael Videla\"\n },\n {\n \"question_id\": \"67300\",\n \"answer\": \"Argentina\"\n },\n {\n \"question_id\": \"67301\",\n \"answer\": \"then-President Isabela Martinez de Peron\"\n },\n {\n \"question_id\": \"67302\",\n \"answer\": \"March 1976\"\n },\n {\n \"question_id\": \"67303\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"67304\",\n \"answer\": \"1981\"\n },\n {\n \"question_id\": \"67305\",\n \"answer\": \"Luciano Benjamin Menendez\"\n },\n {\n \"question_id\": \"67306\",\n \"answer\": \"Third Army Corps.\"\n },\n {\n \"question_id\": \"67307\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"67308\",\n \"answer\": \"Judicial Information Center\"\n },\n {\n \"question_id\": \"67309\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"67310\",\n \"answer\": \"Gen. Reynaldo Benito Bignone\"\n },\n {\n \"question_id\": \"67311\",\n \"answer\": \"25 years\"\n },\n {\n \"question_id\": \"67312\",\n \"answer\": \"1983\"\n },\n {\n \"question_id\": \"67313\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"67314\",\n \"answer\": \"82\"\n },\n {\n \"question_id\": \"67315\",\n \"answer\": \"Military College\"\n },\n {\n \"question_id\": \"67316\",\n \"answer\": \"Hospital Posada\"\n },\n {\n \"question_id\": \"67317\",\n \"answer\": \"Mendoza.\"\n },\n {\n \"question_id\": \"67318\",\n \"answer\": \"Cordoba\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER THE THIRTY-FIRST \n\n\"Oh, fear not, fear not, good Lord John, That I would you betray, Or sue requital for a debt, Which nature cannot pay. Bear witness, all ye sacred powers-- Ye lights that 'gin to shine-- This night shall prove the sacred tie That binds your faith and mine.\" ANCIENT SCOTTISH BALLAD. \n\nLeft behind by their master, the two dependants of Hugh de Lacy marched on in sullen silence, like men who dislike and distrust each other, though bound to one common service, and partners, therefore, in the same hopes and fears. The dislike, indeed, was chiefly upon Guarine's side; for nothing could be more indifferent to Renault Vidal than was his companion, farther than as he was conscious that Philip loved him not, and was not unlikely, so far as lay in his power, to thwart some plans which he had nearly at heart. He took little notice of his companion, but hummed over to himself, as for the exercise of his memory, romances and songs, many of which were composed in languages which Guarine, who had only an ear for his native Norman, did not understand. \n\nThey had proceeded together in this sullen manner for nearly two hours, when they were met by a groom on horseback, leading a saddled palfrey. \"Pilgrims,\" said the man, after looking at them with some attention, \"which of you is called Philip Guarine?\" \n\n\"I, for fault of a better,\" said the esquire, \"reply to that name.\" \n\n\"Thy lord, in that case, commends him to you,\" said the groom; \"and sends you this token, by which you shall know that I am his true messenger.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3272\": \"Who left behind two men?\"\n },\n {\n \"3273\": \"Did they like each other?\"\n },\n {\n \"3274\": \"What were they doing?\"\n },\n {\n \"3275\": \"Did they talk while walking?\"\n },\n {\n \"3276\": \"Who did the horseman want to talk to?\"\n },\n {\n \"3277\": \"What did he have behind him?\"\n },\n {\n \"3278\": \"Who sent him?\"\n },\n {\n \"3279\": \"How long had they walked before they met the rider?\"\n },\n {\n \"3280\": \"Did they dislike each other in equal measure?\"\n },\n {\n \"3281\": \"How did Vidal feel about his companion?\"\n },\n {\n \"3282\": \"And what was the person he was walking with named?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3272\",\n \"answer\": \"Hugh de Lacy\"\n },\n {\n \"question_id\": \"3273\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3274\",\n \"answer\": \"marching\"\n },\n {\n \"question_id\": \"3275\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3276\",\n \"answer\": \"Philip Guarine\"\n },\n {\n \"question_id\": \"3277\",\n \"answer\": \"a saddled palfrey\"\n },\n {\n \"question_id\": \"3278\",\n \"answer\": \"The lord\"\n },\n {\n \"question_id\": \"3279\",\n \"answer\": \"nearly two hours,\"\n },\n {\n \"question_id\": \"3280\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3281\",\n \"answer\": \"indifferent\"\n },\n {\n \"question_id\": \"3282\",\n \"answer\": \"Guarine\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mr. Hungerton, her father, really was absolutely centered upon his own silly self. If anything could have driven me from Gladys, it would have been the thought of such a father-in-law. I am convinced that he really believed in his heart that I came round to the Chestnuts three days a week for the pleasure of his company, and very especially to hear his views upon bimetallism . \n\nFor an hour or more that evening I listened to his tiring talk about bad money driving out good, and the true standards of exchange. \n\n\"Suppose,\" he cried, \"that all the debts in the world were called up at once, and immediate payment insisted upon,--what under our present conditions would happen then?\" \n\nI gave the self-evident answer that I should be a ruined man, upon which he jumped from his chair, scolding me for my thoughtless quickness, which made it impossible for him to discuss any reasonable subject in my presence. \n\nAt last I was alone with Gladys, and the moment of Fate had come! She sat with that proud, delicate figure of hers outlined against the red curtain. How beautiful she was! Gladys was full of every womanly quality. \n\nI was about to break the long and uneasy silence, when two critical, dark eyes looked round at me, and the proud head was shaken disapprovingly. \"I have a feeling that you are going to propose, Ned. I do wish you wouldn't; for things are so much nicer as they are.\" \n\nI drew my chair a little nearer. \"Now, how did you know that I was going to propose?\" I asked in wonder. \n\n\"Don't women always know? Do you suppose any woman in the world was ever taken unawares? But--oh, Ned, our friendship has been so good and so pleasant! What a pity to spoil it! Don't you feel how splendid it is that a young man and a young woman should be able to talk face to face as we have talked?\" \n\nShe had sprung from her chair, as she saw signs that I proposed to announce some of my wants. \"You've spoiled everything, Ned,\" she said. \"It's all so beautiful and natural until this kind of thing comes in! It is such a pity! Why can't you control yourself?\" \n\n\"But why can't you love me, Gladys? Is it my appearance, or what?\" \n\n\"No, it isn't that.\" \n\n\"My character?\" \n\nShe nodded severely. \n\n\"What can I do to mend it?\" \n\nShe looked at me with a wondering distrust which was much more to my mind than her whole-hearted confidence. \n\n\"Now tell me what's amiss with me?\" \n\n\"I'm in love with somebody else,\" said she. \n\nIt was my turn to jump out of my chair. \n\n\"It's nobody in particular,\" she explained, laughing at the expression of my face: \"only an ideal. I've never met the kind of man I mean.\" \n\n\"Tell me about him. What does he look like?\" \n\n\"Oh, he might look very much like you.\" \n\n\"How dear of you to say that! Well, what is it that he does that I don't do? I'll have a try at it, Gladys, if you will only give me an idea what would please you.\" \n\n\"Well, it is never a man that I should love, but always the glories he had won; for they would be reflected upon me. Think of Richard Burton! When I read his wife's life of him I could so understand her love! And Lady Stanley! Did you ever read the wonderful last chapter of that book about her husband? These are the sort of men that a woman could worship with all her soul, and yet be the greater, not the less, on account of her love, honored by all the world as the inspirer of noble deeds.\" \n\n\"And if I do----\" \n\nHer dear hand rested upon my lips. \"Not another word, Sir! You should have been at the office for evening duty half an hour ago; only I hadn't the heart to remind you. Some day, perhaps, when you have won your place in the world, we shall talk it over again.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36056\": \"Who is telling the story?\"\n },\n {\n \"36057\": \"Who does he want to marry?\"\n },\n {\n \"36058\": \"Does her father suspect this?\"\n },\n {\n \"36059\": \"Why does Mr Hungerton think Ned comes around?\"\n },\n {\n \"36060\": \"What do they discuss?\"\n },\n {\n \"36061\": \"Does Gladys suspect Ned's intentions?\"\n },\n {\n \"36062\": \"Is she agreeable?\"\n },\n {\n \"36063\": \"Who does she think is an ideal man?\"\n },\n {\n \"36064\": \"Who's book did she read talking of love?\"\n },\n {\n \"36065\": \"Will she consider marriage later?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36056\",\n \"answer\": \"Ned\"\n },\n {\n \"question_id\": \"36057\",\n \"answer\": \"Gladys\"\n },\n {\n \"question_id\": \"36058\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"36059\",\n \"answer\": \"to visit him\"\n },\n {\n \"question_id\": \"36060\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"36061\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36062\",\n \"answer\": \"n\"\n },\n {\n \"question_id\": \"36063\",\n \"answer\": \"Richard Burton\"\n },\n {\n \"question_id\": \"36064\",\n \"answer\": \"Lady Stanley\"\n },\n {\n \"question_id\": \"36065\",\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 Washington (CNN) -- A late evening meeting between President Barack Obama and the leaders of the House and Senate failed to reach agreement Wednesday on a spending plan to avert a government shutdown, but all the participants said progress was made and talks would continue. \n\nIf there is no deal by midnight Friday, when the current spending authorization measure expires, parts of the government will close down. \n\nObama called the 90-minute talks with House Speaker John Boehner, R-Ohio, and Senate Majority Leader Harry Reid, D-Nevada, \"constructive\" and he said they narrowed and clarified the outstanding issues. \n\n\"I remain confident that if we're serious about getting something done, we should be able to complete a deal and get it passed and avert a shutdown,\" Obama said in brief remarks to reporters. \"But it's going to require a sufficient sense of urgency from all parties involved\" to prevent a shutdown that \"could have real effects on everyday Americans.\" \n\nBoth Reid and Boehner told reporters in their own brief comments that the meeting made progress in narrowing their differences, and that their staffs would work through the night to try to reach further consensus. \n\n\"I have confidence we can get this done,\" said Reid, who criticized Boehner and Republicans earlier in the day for intransigence. \"We're not there yet.\" \n\nBoehner, standing next to Reid, said \"we do have some honest differences,\" and he emphasized there was no agreement on either a specific figure for spending cuts for the rest of the current fiscal year or on policy issues that the Republicans want included in the measure, such as specifically prohibiting funding for abortions. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22181\": \"Who did Barack Obama have a meeting with?\"\n },\n {\n \"22182\": \"Did senator Reid have confidence they could get things done?\"\n },\n {\n \"22183\": \"What was the meeting about in the first place?\"\n },\n {\n \"22184\": \"What were they trying to avert?\"\n },\n {\n \"22185\": \"Who is the Senate majority leaded that also met with Obama?\"\n },\n {\n \"22186\": \"How id Obama think the talks went?\"\n },\n {\n \"22187\": \"Did the House speaker think they had some differences they needed to resolve?\"\n },\n {\n \"22188\": \"What is the time they needed to finish by to avoid government shutdown?\"\n },\n {\n \"22189\": \"Were there any agreements on spending cuts?\"\n },\n {\n \"22190\": \"Were the polititions staffs going to be working though the night?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22181\",\n \"answer\": \"with John Boehner\"\n },\n {\n \"question_id\": \"22182\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22183\",\n \"answer\": \"on a spending plan\"\n },\n {\n \"question_id\": \"22184\",\n \"answer\": \"a government shutdown\"\n },\n {\n \"question_id\": \"22185\",\n \"answer\": \"Harry Reid\"\n },\n {\n \"question_id\": \"22186\",\n \"answer\": \"\\\"constructive\\\"\"\n },\n {\n \"question_id\": \"22187\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22188\",\n \"answer\": \"by midnight Friday\"\n },\n {\n \"question_id\": \"22189\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22190\",\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'This is a crash!' said Coningsby, with a grave rather than agitated countenance, to Sidonia, as his friend came up to greet him, without, however, any expression of condolence. \n\n'This time next year you will not think so,' said Sidonia. \n\nConingsby shrugged his shoulders. \n\n'The principal annoyance of this sort of miscarriage,' said Sidonia, 'is the condolence of the gentle world. I think we may now depart. I am going home to dine. Come, and discuss your position. For the present we will not speak of it.' So saying, Sidonia good-naturedly got Coningsby out of the room. \n\nThey walked together to Sidonia's house in Carlton Gardens, neither of them making the slightest allusion to the catastrophe; Sidonia inquiring where he had been, what he had been doing, since they last met, and himself conversing in his usual vein, though with a little more feeling in his manner than was his custom. When they had arrived there, Sidonia ordered their dinner instantly, and during the interval between the command and its appearance, he called Coningsby's attention to an old German painting he had just received, its brilliant colouring and quaint costumes. \n\n'Eat, and an appetite will come,' said Sidonia, when he observed Coningsby somewhat reluctant. 'Take some of that Chablis: it will put you right; you will find it delicious.' \n\nIn this way some twenty minutes passed; their meal was over, and they were alone together. \n\n'I have been thinking all this time of your position,' said Sidonia. \n\n'A sorry one, I fear,' said Coningsby. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13168\": \"Who was upset?\"\n },\n {\n \"13169\": \"Who disagreed?\"\n },\n {\n \"13170\": \"Where did they go?\"\n },\n {\n \"13171\": \"Where at?\"\n },\n {\n \"13172\": \"Which is where?\"\n },\n {\n \"13173\": \"What had happen?\"\n },\n {\n \"13174\": \"Did they make small talk?\"\n },\n {\n \"13175\": \"What had he just received?\"\n },\n {\n \"13176\": \"From where?\"\n },\n {\n \"13177\": \"Was Coningsby hungry?\"\n },\n {\n \"13178\": \"What did sidonia say?\"\n },\n {\n \"13179\": \"Did he offer wine?\"\n },\n {\n \"13180\": \"Did they drive to dinner?\"\n },\n {\n \"13181\": \"How did they get there?\"\n },\n {\n \"13182\": \"Who was agitated?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13168\",\n \"answer\": \"Coningsby\"\n },\n {\n \"question_id\": \"13169\",\n \"answer\": \"Sidonia\"\n },\n {\n \"question_id\": \"13170\",\n \"answer\": \"to dine\"\n },\n {\n \"question_id\": \"13171\",\n \"answer\": \"Sidonia's house\"\n },\n {\n \"question_id\": \"13172\",\n \"answer\": \"Carlton Gardens\"\n },\n {\n \"question_id\": \"13173\",\n \"answer\": \"catastrophe\"\n },\n {\n \"question_id\": \"13174\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13175\",\n \"answer\": \"painting\"\n },\n {\n \"question_id\": \"13176\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"13177\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13178\",\n \"answer\": \"Eat, and an appetite will come\"\n },\n {\n \"question_id\": \"13179\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13180\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13181\",\n \"answer\": \"walked\"\n },\n {\n \"question_id\": \"13182\",\n \"answer\": \"Coningsby\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 FOUR. \n\nOKIOK BECOMES SIMPLE BUT DEEP, AND THE WIZARD TRIES TO MAKE CAPITAL OUT OF EVENTS. \n\nOf course Ujarak, wise man though he was esteemed to be, could not help being struck dumb by the unexpected sight of the gaunt foreigner. Indeed, having so long held supposed intercourse with familiar spirits, it is not improbable that he imagined that one of them had at last come, without waiting for a summons, to punish him because of his deceptive practices, for he turned pale--or rather faintly green--and breathed hard. \n\nPerceiving his state, it suddenly occurred to the sailor to say--\"Don't be afraid. I won't hurt you.\" He inadvertently said it in English, however, so that Ujarak was none the wiser. \n\n\"Who is he?\" demanded the angekok--perhaps it were more correct to call him wizard. \n\nOkiok, expecting Rooney to reply, looked at him, but a spirit of silence seemed to have come over the stranger, for he made no reply, but shut his eyes, as if he had dropped asleep. \n\n\"He is a Kablunet,\" said Okiok. \n\n\"I could see that, even if I had not the double sight of the angekok,\" replied the other, with a touch of sarcasm, for Eskimos, although by no means addicted to quarrelling, are very fond of satire. They are also prone to go straight to the point in conversation, and although fond of similes and figurative language, they seldom indulge in bombast. \n\nWith much solemnity Okiok rejoined that he had no doubt of Ujarak's being aware that the man was a Kablunet. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79698\": \"What was another name for the angekok?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79698\",\n \"answer\": \"Eskimos\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nWOE, WOE TO JERUSALEM \n\nTwo more years went by, two dreadful, bloody years. In Jerusalem the factions tore each other. In Galilee let the Jewish leader Josephus, under whom Caleb was fighting, do what he would, Vespasian and his generals stormed city after city, massacring their inhabitants by thousands and tens of thousands. In the coast towns and elsewhere Syrians and Jews made war. The Jews assaulted Gadara and Gaulonitis, Sebaste and Ascalon, Anthedon and Gaza, putting many to the sword. Then came their own turn, for the Syrians and Greeks rose upon them and slaughtered them without mercy. As yet, however, there had been no blood shed in Tyre, though all knew that it must come. The Essenes, who had been driven from their home by the Dead Sea and taken refuge in Jerusalem, sent messengers to Miriam warning her to flee from Tyre, where a massacre was being planned; warning her also not to come to Jerusalem, which city they believed to be doomed, but to escape, if possible over sea. Nor was this all, for her own people, the Christians, besought her to fly for her life's sake with them to the city of Pella, where they were gathering from Jerusalem and all Judæa. To both Miriam answered that what her grandsire did, that she must do. If he fled, she would fly; if he stayed at Tyre, she would stay; if he went to Jerusalem, she would go; for he had been good to her and she had sworn that while he lived she would not desert him. So the Essene messengers went back to Jerusalem, and the Christian elders prayed with her, and having blessed her and consigned her to the care of the Most High and His Son, their Lord, departed to Pella, where, as it was fated, through all those dreadful times not a hair of their heads was touched. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19088\": \"Who had been driven from their home bye the Dead Sea?\"\n },\n {\n \"19089\": \"Where did they take refuge?\"\n },\n {\n \"19090\": \"Who did they send messengers to?\"\n },\n {\n \"19091\": \"Who made war in the coast towns and other places?\"\n },\n {\n \"19092\": \"Was there blood shed in Tyre?\"\n },\n {\n \"19093\": \"What did the messengers warn Miriam to do?\"\n },\n {\n \"19094\": \"What did Miriam answer?\"\n },\n {\n \"19095\": \"So where did the Essene messengers go back to?\"\n },\n {\n \"19096\": \"And which elders prayed with her?\"\n },\n {\n \"19097\": \"To who did they consign her care?\"\n },\n {\n \"19098\": \"And then where did they depart to?\"\n },\n {\n \"19099\": \"Who assaulted Gadara and Gaulonitis?\"\n },\n {\n \"19100\": \"Who was the Jewish leader in Galilee?\"\n },\n {\n \"19101\": \"Which person was fighting under him?\"\n },\n {\n \"19102\": \"Where was a massacre planned?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19088\",\n \"answer\": \"The Essenes\"\n },\n {\n \"question_id\": \"19089\",\n \"answer\": \"Jerusalem\"\n },\n {\n \"question_id\": \"19090\",\n \"answer\": \"Miriam\"\n },\n {\n \"question_id\": \"19091\",\n \"answer\": \"Syrians and Jews\"\n },\n {\n \"question_id\": \"19092\",\n \"answer\": \"had been no blood shed in Tyre\"\n },\n {\n \"question_id\": \"19093\",\n \"answer\": \"to flee from Tyre\"\n },\n {\n \"question_id\": \"19094\",\n \"answer\": \"answered that what her grandsire did, that she must do\"\n },\n {\n \"question_id\": \"19095\",\n \"answer\": \"Jerusalem\"\n },\n {\n \"question_id\": \"19096\",\n \"answer\": \"Christian elders\"\n },\n {\n \"question_id\": \"19097\",\n \"answer\": \"Most High and His Son,\"\n },\n {\n \"question_id\": \"19098\",\n \"answer\": \"Pella\"\n },\n {\n \"question_id\": \"19099\",\n \"answer\": \"Jews\"\n },\n {\n \"question_id\": \"19100\",\n \"answer\": \"Josephus\"\n },\n {\n \"question_id\": \"19101\",\n \"answer\": \"Caleb\"\n },\n {\n \"question_id\": \"19102\",\n \"answer\": \"city after 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 (CNN)Mikaela Shiffrin is on course to make skiing history after claiming her third consecutive slalom victory on the World Cup circuit on Saturday. \n\nThe young American is hoping to become the first woman to win both the discipline's world title and overall crown in successive seasons. \n\nShiffrin, who retained her slalom title at February's world championships in Colorado, now has a 90-point lead going into next week's World Cup finale in France. \n\n\"I think the first couple races of the season I was pretty arrogant and was like, 'I'm just going to win these, I guess.' And I didn't. I wasn't even close,\" said Shiffrin, who has won the slalom Crystal Globe two years running. \n\n\"When you're racing at a high level -- or doing any sport at a high level -- everybody's going for the win. I learned that I can't take my foot off the gas and expect to win. These last races, I was pushing everything. Any race that I won this season, I was giving my entire heart into it. I'm proud of that.\" \n\nA day after her 20th birthday, Shiffrin won by a comfortable 1.41 seconds at Are in Sweden as she claimed the 14th World Cup win of her career, with Slovakia's Veronika Velez Zuzulova second and Czech Republic's Sarka Strachova third. \n\nSlalom title rival Frida Hansdotter finished sixth in front of her home fans. \n\nTina Maze missed a chance to close the gap on overall World Cup leader Anna Fenninger, who did not race, as the Slovenian finished back in 16th. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75831\": \"Where did the February slalom championships take place?\"\n },\n {\n \"75832\": \"Where will the World Cup finale take place?\"\n },\n {\n \"75833\": \"Who is the main character in this story?\"\n },\n {\n \"75834\": \"How many times has she won the World Cup?\"\n },\n {\n \"75835\": \"How many points in her lead going into it this time?\"\n },\n {\n \"75836\": \"How old was she when she won at Are?\"\n },\n {\n \"75837\": \"Where is Are?\"\n },\n {\n \"75838\": \"Who won second there?\"\n },\n {\n \"75839\": \"Who took sixth there?\"\n },\n {\n \"75840\": \"Who is Anna Fenninger?\"\n },\n {\n \"75841\": \"Did she race?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"75831\",\n \"answer\": \"in Colorado\"\n },\n {\n \"question_id\": \"75832\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"75833\",\n \"answer\": \"Mikaela Shiffrin\"\n },\n {\n \"question_id\": \"75834\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"75835\",\n \"answer\": \"90-point lead\"\n },\n {\n \"question_id\": \"75836\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"75837\",\n \"answer\": \"Sweden\"\n },\n {\n \"question_id\": \"75838\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"75839\",\n \"answer\": \"Frida Hansdotter\"\n },\n {\n \"question_id\": \"75840\",\n \"answer\": \"the overall World Cup leader\"\n },\n {\n \"question_id\": \"75841\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\nTHE ARRIVAL OF SONGBIRD \n\n\"So you've made some enemies as well as some friends, eh?\" remarked Songbird Powell, after he had been registered, taken up to his room, and had listened to what the Rover boys had to tell. \"No use of talking, it doesn't take you fellows long to stir things up!\" \n\n\"You said you had a surprise for us, Songbird,\" returned Tom. \"I'm dying by inches to know what it is.\" \n\n\"Maybe it's a new poem,\" put in Sam with a grimace at his brothers. \n\n\"I've got a poem--several of them, in fact,\" answered Songbird, \"but I didn't have those in mind when I spoke. Who do you suppose I met yesterday morning, in Ithaca, while I was waiting for the train?\" \n\n\"Dora Stanhope and the Lanings,\" answered Tom promptly. \n\n\"No. Tad Sobber.\" \n\n\"Tad Sobber!\" exclaimed the Rover boys in concert. \n\n\"Songbird, are you sure of it?\" demanded Dick. \n\n\"Sure? Wasn't I talking to him!\" \n\n\"But--but--I thought he was lost in that hurricane, when the _Josephine_ was wrecked.\" \n\n\"No. It seems he escaped to a vessel bound for England; but his uncle, Sid Merrick, was lost, and so were most of the others. Sobber just got back from England--came in on one of the ocean liners, so he told me.\" \n\n\"How did he act?\" asked Tom. \n\n\"Where was he going?\" added Sam. \n\n\"Did he seem to have any money?\" came from Dick. \n\nAll of the Rovers were intensely interested, and showed it plainly. \n\n\"Say, one question at a time, please!\" cried Songbird, \"You put me in mind of a song I once wrote about a little boy: \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62785\": \"what did Dick ask?\"\n },\n {\n \"62786\": \"Who did Tom think Songbird had seen?\"\n },\n {\n \"62787\": \"was it them?\"\n },\n {\n \"62788\": \"who was it?\"\n },\n {\n \"62789\": \"what did the boys think had happened to him?\"\n },\n {\n \"62790\": \"who had been lost\"\n },\n {\n \"62791\": \"was he the only one?\"\n },\n {\n \"62792\": \"Had the boys only made enemies?\"\n },\n {\n \"62793\": \"what else?\"\n },\n {\n \"62794\": \"what did Sam think Songbird's surprise was?\"\n },\n {\n \"62795\": \"did he have any?\"\n },\n {\n \"62796\": \"was that his surprise?\"\n },\n {\n \"62797\": \"what ship had wrecked?\"\n },\n {\n \"62798\": \"was Sid Merrick Sobber's grandfather?\"\n },\n {\n \"62799\": \"was he a relative?\"\n },\n {\n \"62800\": \"what relationship?\"\n },\n {\n \"62801\": \"were the Rover boys bored by the descussion?\"\n },\n {\n \"62802\": \"how did thye feel?\"\n },\n {\n \"62803\": \"what was Songbird reminded of\"\n },\n {\n \"62804\": \"about?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62785\",\n \"answer\": \"if Songbird was sure\"\n },\n {\n \"question_id\": \"62786\",\n \"answer\": \"Dora Stanhope and the Lanings\"\n },\n {\n \"question_id\": \"62787\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62788\",\n \"answer\": \"Tad Sobber\"\n },\n {\n \"question_id\": \"62789\",\n \"answer\": \"that he was lost in a hurricane\"\n },\n {\n \"question_id\": \"62790\",\n \"answer\": \"Sid Merrick\"\n },\n {\n \"question_id\": \"62791\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62792\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62793\",\n \"answer\": \"some friends\"\n },\n {\n \"question_id\": \"62794\",\n \"answer\": \"a new poem\"\n },\n {\n \"question_id\": \"62795\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62796\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62797\",\n \"answer\": \"Josephine\"\n },\n {\n \"question_id\": \"62798\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62799\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62800\",\n \"answer\": \"uncle\"\n },\n {\n \"question_id\": \"62801\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62802\",\n \"answer\": \"intensely interested\"\n },\n {\n \"question_id\": \"62803\",\n \"answer\": \"a song\"\n },\n {\n \"question_id\": \"62804\",\n \"answer\": \"a little boy:\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 dancer named Eliza was part of the New York Ballet Performance and Arts Company. She spent all hours of the day practicing for her recital. Eliza had difficulties doing both her schoolwork and her dancing; she often fell behind in math. Her best friend Maddy was also a dancer; they often competed with each other to get the top parts in the dances. Their moms thought that because they competed with each other they might become mean towards one another but they did not let that get in the way of their friendship. \n\nIn their latest recital Eliza had got the top part in the dance called \"The Beauty and the Rain\". The hours were long and draining on their bodies. All the girls and boys who left the performance center looked so tired. They couldn't pick up their practice bags off of the floor as they walked to their parents to go home and their eyelids were droopy. When Eliza got home, the last thing on her mind was her math problems. All she could think of was bathing her sore feet and her head hitting her soft fluffy pillow. Her teachers started to become aware of Eliza's problems in the classroom and called her parents into school to talk to her teachers. Her parents knew that dancing was Eliza's dream and would not let anything get in the way of her performances. It was important for her parents for Eliza to do well in all parts of her life, but her dancing is what lit a fire in her eyes. Her parents got her extra help to help with her homework, which helped Eliza keep track of all parts of her life.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88379\": \"Was Eliza a dancer?\"\n },\n {\n \"88380\": \"Who did she dance for?\"\n },\n {\n \"88381\": \"How much did she practice?\"\n },\n {\n \"88382\": \"Did this cause any problems?\"\n },\n {\n \"88383\": \"what were they?\"\n },\n {\n \"88384\": \"Was her best friend a dancer?\"\n },\n {\n \"88385\": \"Did they ever compete?\"\n },\n {\n \"88386\": \"Did this worry their moms?\"\n },\n {\n \"88387\": \"Why did it worry them?\"\n },\n {\n \"88388\": \"Did they let that get in the way of their friendship?\"\n },\n {\n \"88389\": \"What is the name of their latest recital?\"\n },\n {\n \"88390\": \"Who got the top part?\"\n },\n {\n \"88391\": \"Eliza\"\n },\n {\n \"88392\": \"Who got the top part in the recital?\"\n },\n {\n \"88393\": \"Was it tiring?\"\n },\n {\n \"88394\": \"What her teacher worried about her school work?\"\n },\n {\n \"88395\": \"What did she do?\"\n },\n {\n \"88396\": \"What did her parrents do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88379\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88380\",\n \"answer\": \"the New York Ballet Performance and Arts Company\"\n },\n {\n \"question_id\": \"88381\",\n \"answer\": \"All hours of the day\"\n },\n {\n \"question_id\": \"88382\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88383\",\n \"answer\": \"she fell behind in math\"\n },\n {\n \"question_id\": \"88384\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88385\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88386\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88387\",\n \"answer\": \"They thought they might get mean toward one another\"\n },\n {\n \"question_id\": \"88388\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"88389\",\n \"answer\": \"\\\"The Beauty and the Rain\\\"\"\n },\n {\n \"question_id\": \"88390\",\n \"answer\": \"In their latest recital Eliza had got the top part in the dance called \\\"The Beauty and the Rain\"\n },\n {\n \"question_id\": \"88391\",\n \"answer\": \"In their latest recital Eliza had got the top part in the dance calle\"\n },\n {\n \"question_id\": \"88392\",\n \"answer\": \"Eliza\"\n },\n {\n \"question_id\": \"88393\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88394\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88395\",\n \"answer\": \"called her parents into school to talk to her teachers\"\n },\n {\n \"question_id\": \"88396\",\n \"answer\": \"Got her help with her homework\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXVI \n\nTHE CHARLATAN UNMASKED \n\nThere seemed for the next few minutes to be a somewhat singular abstention from any desire to interfere with the two people who stood in the centre of the little group, hand-in-hand. Saton, after his first speech, and after Lois had given him her hands, had turned a little defiantly toward Rochester, who remained, however, unmoved, his elbow resting upon the broad mantelpiece, his face almost expressionless. Vandermere, too, stood on one side and held his peace, though the effort with which he did so was a visible one. Lady Mary looked anxiously towards them. Pauline had shrunk back, as though something in the situation terrified her. \n\nEven Saton himself felt that it was the silence before the storm. The courage which he had summoned up to meet a storm of disapproval, began to ebb slowly away in the face of this unnatural silence. It was clear that the onus of further speech was to rest with him. \n\nStill retaining Lois' hand, he turned toward Rochester. \n\n\"You have forbidden me to enter your house, or to hold any communication with your ward until she was of age, Mr. Rochester,\" he said. \"One of your conditions I have obeyed. With regard to the other, I have done as I thought fit. However, to-day she is her own mistress. She has consented to be my wife. I do not need to ask for your consent or approval. If you are not willing that she should be married from your roof, I can take her at once to the Comtesse, who is prepared to receive her.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62521\": \"Who thought there was a silence before the storm?\"\n },\n {\n \"62522\": \"Who was forbidden to enter the house?\"\n },\n {\n \"62523\": \"Whose house was it?\"\n },\n {\n \"62524\": \"Who stood in the centre of the group?\"\n },\n {\n \"62525\": \"Were they holding hands?\"\n },\n {\n \"62526\": \"Whose elbow was on the mantlpiece?\"\n },\n {\n \"62527\": \"Did he look mad?\"\n },\n {\n \"62528\": \"What did his face look like?\"\n },\n {\n \"62529\": \"Who looked anxiously at them?\"\n },\n {\n \"62530\": \"And who else stood on the side, holding his peace?\"\n },\n {\n \"62531\": \"Had Lois consented to be Saton's wife?\"\n },\n {\n \"62532\": \"Did he still need Rochester's approval?\"\n },\n {\n \"62533\": \"Where would they go if they couldn't be married there?\"\n },\n {\n \"62534\": \"What chapter is this?\"\n },\n {\n \"62535\": \"What's the name of it?\"\n },\n {\n \"62536\": \"What seemed to ebb slowly away in the silence?\"\n },\n {\n \"62537\": \"Did something terrify Mary?\"\n },\n {\n \"62538\": \"Who seemed terrified?\"\n },\n {\n \"62539\": \"Who did the onus of more speech rest with?\"\n },\n {\n \"62540\": \"How many conditions did Saton obey?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62521\",\n \"answer\": \"Saton\"\n },\n {\n \"question_id\": \"62522\",\n \"answer\": \"Saton\"\n },\n {\n \"question_id\": \"62523\",\n \"answer\": \"Mr. Rochester\"\n },\n {\n \"question_id\": \"62524\",\n \"answer\": \"Saton and Lois\"\n },\n {\n \"question_id\": \"62525\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62526\",\n \"answer\": \"Rochester\"\n },\n {\n \"question_id\": \"62527\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62528\",\n \"answer\": \"expressionless\"\n },\n {\n \"question_id\": \"62529\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"62530\",\n \"answer\": \"Vandermere\"\n },\n {\n \"question_id\": \"62531\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62532\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62533\",\n \"answer\": \"the Comtesse\"\n },\n {\n \"question_id\": \"62534\",\n \"answer\": \"XXXVI\"\n },\n {\n \"question_id\": \"62535\",\n \"answer\": \"THE CHARLATAN UNMASKED\"\n },\n {\n \"question_id\": \"62536\",\n \"answer\": \"courage\"\n },\n {\n \"question_id\": \"62537\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"62538\",\n \"answer\": \"Pauline\"\n },\n {\n \"question_id\": \"62539\",\n \"answer\": \"Saton\"\n },\n {\n \"question_id\": \"62540\",\n \"answer\": \"One\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Hilary Duff says her new album is \"very positive\" but admits that it started out \"a lot heavier and a lot darker\" because of the separation from her husband, Mike Comrie. \n\n\"I'm separated from my husband right now, which has been a very difficult thing to go through,\" she told Billboard's \"Pop Shop\" podcast. \"In the beginning, the album was a lot heavier and a lot darker, because I had to get that out. Once I did get that out, a lot of fun came.\" \n\nDuff married Comrie, a former pro hockey player, in 2010 after dating for three years. Their son, Luca, was born in 2012. Duff and Comrie announced their separation in January. \n\nDuff, 26, admits that she's \"nervous\" after being away from music for seven years. Her just-released single, \"Chasing the Sun,\" is from her still-untitled album, which will be her first studio release since 2007's \"Dignity.\" \n\nShe says she first started thinking of new material when she was pregnant with her son. After having the child and taking another year, she was even more anxious. \n\n\"I felt like I was missing a big part of myself,\" she said. \n\nDuff established a successful singing career on the heels of her popular Disney show, \"Lizzie McGuire,\" which aired from 2001 to 2004. She spent most of her teenage years touring and says that turning 20 was a big factor in leaving the road. \n\n\"It was time for me to be a person, and the break just ended up being a long time,\" she said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10974\": \"Who is this about?\"\n },\n {\n \"10975\": \"Who was her husband?\"\n },\n {\n \"10976\": \"Are they still together?\"\n },\n {\n \"10977\": \"When did they get married?\"\n },\n {\n \"10978\": \"How long were they together before?\"\n },\n {\n \"10979\": \"When was their son born?\"\n },\n {\n \"10980\": \"What is his name?\"\n },\n {\n \"10981\": \"When did they split up?\"\n },\n {\n \"10982\": \"When did she start coming up with things for her album?\"\n },\n {\n \"10983\": \"How long has it been since she made music?\"\n },\n {\n \"10984\": \"Does she feel confident about it?\"\n },\n {\n \"10985\": \"What was her show called?\"\n },\n {\n \"10986\": \"Who produced it?\"\n },\n {\n \"10987\": \"For how long?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10974\",\n \"answer\": \"Hilary Duff\"\n },\n {\n \"question_id\": \"10975\",\n \"answer\": \"Mike Comrie\"\n },\n {\n \"question_id\": \"10976\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"10977\",\n \"answer\": \"2010\"\n },\n {\n \"question_id\": \"10978\",\n \"answer\": \"three years\"\n },\n {\n \"question_id\": \"10979\",\n \"answer\": \"2012\"\n },\n {\n \"question_id\": \"10980\",\n \"answer\": \"Luca\"\n },\n {\n \"question_id\": \"10981\",\n \"answer\": \"January\"\n },\n {\n \"question_id\": \"10982\",\n \"answer\": \"when she was pregnant with her son\"\n },\n {\n \"question_id\": \"10983\",\n \"answer\": \"11 years\"\n },\n {\n \"question_id\": \"10984\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"10985\",\n \"answer\": \"Lizzie McGuire\"\n },\n {\n \"question_id\": \"10986\",\n \"answer\": \"Disney\"\n },\n {\n \"question_id\": \"10987\",\n \"answer\": \"3 years\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (Oprah) -- Kick back — there's a reason they call them beach reads. \n\n\"Seating Arrangements\" by Maggie Shipstead \n\nWinn Van Meter has everything an affluent person could hope for: a devoted wife of almost 30 years, two daughters, a privileged life in Connecticut, and a summer home on Waskeke — a fictional island resembling Nantucket. \n\nDespite his comforts, Winn suffers from a typical midlife dissatisfaction: \"He had almost everything he could think to want, and yet still ambivalence bleached his world to an anemic pallor.\" \n\nMaggie Shipstead's \"Seating Arrangements\" is a whip-smart and engaging debut novel, set on Waskeke over the course of three days. Winn's oldest daughter, Daphne, is pregnant and getting married. His youngest daughter is lovelorn and mourning a recent abortion. \n\nStrong personalities clash as Winn struggles with his long-burning attraction to one of Daphne's gorgeous and wildly flirtatious bridesmaids, Agatha, as his marriage grows stale. \"He could not be sure that he had ever been in love with Biddy, or with anyone for that matter, but Biddy was the woman he had felt the most for.\" \n\nShipstead observes the absurdity of the upper class in Winn's trivial anxieties; he's incensed that he wasn't invited to join an elite golf club, and he carries on a rivalry with another island couple. This is the best kind of smart beach read: a book that expertly examines social life with heart and wit. \n\nOprah.com: 20 romantic reads \n\n\"Heading Out to Wonderful\" by Robert Goolrick \n\n\"Heading Out to Wonderful\" — about a drifter who takes up with the wife of the richest man in small-town Virginia — is by \"A Reliable Wife\" author Robert Goolrick, which means it's deliciously dark and dangerous. Oprah.com: 7 books that will take you on an inner journey \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95526\": \"Is this a book review?\"\n },\n {\n \"95527\": \"What is the title?\"\n },\n {\n \"95528\": \"Written by Whom?\"\n },\n {\n \"95529\": \"What is the main characters name?\"\n },\n {\n \"95530\": \"Was he wealthy?\"\n },\n {\n \"95531\": \"Married?\"\n },\n {\n \"95532\": \"For how long?\"\n },\n {\n \"95533\": \"How many children did he have?\"\n },\n {\n \"95534\": \"How many days did the story cover?\"\n },\n {\n \"95535\": \"Was this the authors first book?\"\n },\n {\n \"95536\": \"Who was the father attracted to?\"\n },\n {\n \"95537\": \"Who was she?\"\n },\n {\n \"95538\": \"Who recently had an abortion?\"\n },\n {\n \"95539\": \"What state was she in?\"\n },\n {\n \"95540\": \"what was her mothers name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95526\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95527\",\n \"answer\": \"\\\"Seating Arrangements\\\"\"\n },\n {\n \"question_id\": \"95528\",\n \"answer\": \"Maggie Shipstead\"\n },\n {\n \"question_id\": \"95529\",\n \"answer\": \"Winn Van Meter\"\n },\n {\n \"question_id\": \"95530\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95531\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95532\",\n \"answer\": \"30 years\"\n },\n {\n \"question_id\": \"95533\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"95534\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"95535\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95536\",\n \"answer\": \"Agatha\"\n },\n {\n \"question_id\": \"95537\",\n \"answer\": \"Daphne's bridesmaid\"\n },\n {\n \"question_id\": \"95538\",\n \"answer\": \"His youngest daughter\"\n },\n {\n \"question_id\": \"95539\",\n \"answer\": \"lovelorn and mourning\"\n },\n {\n \"question_id\": \"95540\",\n \"answer\": \"Biddy\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI. \n\nThe Bridge over the Rhine. \n\n\"George,\" said Kate, speaking before she quite got up to them, \"will you tell me whether you have been preparing all your things for an open sale by auction?\" Then she stole a look at Alice, and having learned from that glance that something had occurred which prevented Alice from joining her in her raillery, she went on with it herself rapidly, as though to cover Alice's confusion, and give her time to rally before they should all move. \"Would you believe it? he had three razors laid out on his table--\" \n\n\"A man must shave,--even at Basle.\" \n\n\"But not with three razors at once; and three hair-brushes, and half a dozen toothbrushes, and a small collection of combs, and four or five little glass bottles, looking as though they contained poison,--all with silver tops. I can only suppose you desired to startle the weak mind of the chambermaid. I have put them all up; but remember this, if they are taken out again you are responsible. And I will not put up your boots, George. What can you have wanted with three pairs of boots at Basle?\" \n\n\"When you have completed the list of my wardrobe we'll go out upon the bridge. That is, if Alice likes it.\" \n\n\"Oh, yes; I shall like it.\" \n\n\"Come along then,\" said Kate. And so they moved away. When they got upon the bridge Alice and Kate were together, while George strolled behind them, close to them, but not taking any part in their conversation,--as though he had merely gone with them as an escort. Kate seemed to be perfectly content with this arrangement, chattering to Alice, so that she might show that there was nothing serious on the minds of any of them. It need hardly be said that Alice at this time made no appeal to George to join them. He followed them at their heels, with his hands behind his back, looking down upon the pavement and simply waiting upon their pleasure. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69153\": \"Who was Kate speaking to?\"\n },\n {\n \"69154\": \"What did she want to know?\"\n },\n {\n \"69155\": \"Did she allow him to answer?\"\n },\n {\n \"69156\": \"Was she shocked that he had something?\"\n },\n {\n \"69157\": \"What was it?\"\n },\n {\n \"69158\": \"What was his excuse for having them?\"\n },\n {\n \"69159\": \"Where were they?\"\n },\n {\n \"69160\": \"Who was on the bridge?\"\n },\n {\n \"69161\": \"Was George talking to them?\"\n },\n {\n \"69162\": \"Did this upset Kate?\"\n },\n {\n \"69163\": \"What other belongings did George have?\"\n },\n {\n \"69164\": \"Anything else?\"\n },\n {\n \"69165\": \"HOw many pairs of boots did he own?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69153\",\n \"answer\": \"George\"\n },\n {\n \"question_id\": \"69154\",\n \"answer\": \"whether he had been preparing all his things for an open sale by auction\"\n },\n {\n \"question_id\": \"69155\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69156\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69157\",\n \"answer\": \"three razors laid out on his table\"\n },\n {\n \"question_id\": \"69158\",\n \"answer\": \"A man must shave\"\n },\n {\n \"question_id\": \"69159\",\n \"answer\": \"Basle\"\n },\n {\n \"question_id\": \"69160\",\n \"answer\": \"Alice and Kate\"\n },\n {\n \"question_id\": \"69161\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69162\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69163\",\n \"answer\": \"three hair-brushes, and half a dozen toothbrushes, and a small collection of combs\"\n },\n {\n \"question_id\": \"69164\",\n \"answer\": \"four or five little glass bottles\"\n },\n {\n \"question_id\": \"69165\",\n \"answer\": \"three\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n How much pocket money do you get from your parents every month? Maybe 200 yuan? But for Li Beibei, 30 yuan each month is enough. The only thing she buys is lunch--1.5 yuan each day. \"Meat is too expensive for me,\" said Li. Li, 14, is a Junior 1 student at Beijing's Xingzhi Experimental School. Her parents are migrant workers . They came to Beijing from a village in Luohe, He'nan two years ago. Her father now works as a cleaner and gets 500 yuan every month. Her mother has no job. Li Beibei has 460 friends at Xingzhi. Every day, Li gets up at 5:30 am and rides her bike for 20 minutes to get to school. Like many teens, Li has a lot of homework--usually at least one hour every day. But that is not all her work. During the weekdays she helps her mum cook. On weekends, she helps wash clothes. \"I could cook when I was eight. Dad said sometimes I cook better than Mum!\" Li said she wanted to be a doctor. \"I watch TV and find out there are many people with AIDS in He'nan. Some are kids. They need help,\" said Li. But she is afraid to leave school. \"I hope I will always be in school,\" said Li. \"Dad works hard to get money. I promise him I will study hard to be a good student and a good doctor in the future.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48305\": \"Does Li Beibei get an allowance?\"\n },\n {\n \"48306\": \"How much does she get?\"\n },\n {\n \"48307\": \"How often?\"\n },\n {\n \"48308\": \"How old is she?\"\n },\n {\n \"48309\": \"Where does she live?\"\n },\n {\n \"48310\": \"How much does she pay for her midday meal?\"\n },\n {\n \"48311\": \"Does she eat meat?\"\n },\n {\n \"48312\": \"Why not?\"\n },\n {\n \"48313\": \"Are her parents from Beijing?\"\n },\n {\n \"48314\": \"How long have they lived there?\"\n },\n {\n \"48315\": \"What is her father's job?\"\n },\n {\n \"48316\": \"And her mother?\"\n },\n {\n \"48317\": \"Does Li have a lot of friends?\"\n },\n {\n \"48318\": \"How does she get to school?\"\n },\n {\n \"48319\": \"What does she do after school?\"\n },\n {\n \"48320\": \"Anything else?\"\n },\n {\n \"48321\": \"What does she do on weekends?\"\n },\n {\n \"48322\": \"What job does she want?\"\n },\n {\n \"48323\": \"Why?\"\n },\n {\n \"48324\": \"Does she want to leave school?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48305\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48306\",\n \"answer\": \"30 yuan\"\n },\n {\n \"question_id\": \"48307\",\n \"answer\": \"each month\"\n },\n {\n \"question_id\": \"48308\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"48309\",\n \"answer\": \"Beijing\"\n },\n {\n \"question_id\": \"48310\",\n \"answer\": \"1.5 yuan\"\n },\n {\n \"question_id\": \"48311\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"48312\",\n \"answer\": \"It's too expensive\"\n },\n {\n \"question_id\": \"48313\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"48314\",\n \"answer\": \"Two years\"\n },\n {\n \"question_id\": \"48315\",\n \"answer\": \"He's a cleaner\"\n },\n {\n \"question_id\": \"48316\",\n \"answer\": \"Her mother has no job\"\n },\n {\n \"question_id\": \"48317\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"48318\",\n \"answer\": \"She rides her bike\"\n },\n {\n \"question_id\": \"48319\",\n \"answer\": \"Homework\"\n },\n {\n \"question_id\": \"48320\",\n \"answer\": \"she helps her mum cook.\"\n },\n {\n \"question_id\": \"48321\",\n \"answer\": \"she helps wash clothes.\"\n },\n {\n \"question_id\": \"48322\",\n \"answer\": \"She wants to be a doctor\"\n },\n {\n \"question_id\": \"48323\",\n \"answer\": \"To help kids in He'nan with AIDS\"\n },\n {\n \"question_id\": \"48324\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (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 Jeremy was born with a twisted body, and terminal illness slowly killing him throughout his young life. Still, his parents had tried to give him as normal a life as possible and had sent him to St. Theresa's Elementary School. At the age of 12, Jeremy was only in second grade, seemingly unable to learn. His teacher, Doris Miller, often became angry with him. He would often disturb the class by squirming in his seat, drooling and making grunting noises. Doris had 18 other youngsters to teach and she didn't want to waste time on Jeremy. Spring came, and the children talked excitedly about the coming of Easter. Doris told them of the story of Jesus, and stressed the idea of new life springing forth, she gave each of them a large plastic egg. \"Now,\" she said to them, \"I want you to take this home and bring it back tomorrow with something inside that shows new life. Do you understand?\" \"Yes, Miss Miller!\" All the children responded except Jeremy. He just listened, his eyes never left her face. He did not even make his usual noises. The next morning, the children came to school and placed their eggs in a large basket on Doris' desk. After they completed their Math lesson, it was time to open the eggs. In the first egg, Doris found a flower. \"Oh yes, a flower is certainly a sign of new life,\" she said. The next egg had a plastic beautiful butterfly in it. Then Doris opened the fourth egg. It was empty! Surely it must be Jeremy's she thought, and he did not understand the instructions. She put that egg down so she wouldn't embarrass him. Suddenly Jeremy spoke up and said \"Aren't you going to talk about my egg?\" Doris replied, \"But Jeremy - your egg is empty!\" He looked into her eyes and said softly, \"Yes, but Jesus' tomb was empty too!\" Doris asked him, \"Do you know why the tomb was empty?\" \"Oh yes!\" Jeremy exclaimed. \"Jesus was killed and put there. Then His Father raised Him up!\" After class the children excitedly ran out, but Doris cried. The cold inside her melted completely away. Three months later, Jeremy died. Those who paid their respects at the funeral were surprised to see 19 eggs on top of Jeremy's casket, all of them empty.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77274\": \"Who was born with a deformed body?\"\n },\n {\n \"77275\": \"How old is he?\"\n },\n {\n \"77276\": \"What grade is he in?\"\n },\n {\n \"77277\": \"What school does he attend?\"\n },\n {\n \"77278\": \"Is it an elementary school?\"\n },\n {\n \"77279\": \"Who was his teacher?\"\n },\n {\n \"77280\": \"How many other students did she have?\"\n },\n {\n \"77281\": \"Did she want to bother with Jeremy?\"\n },\n {\n \"77282\": \"Was he able to learn?\"\n },\n {\n \"77283\": \"What did the teacher give the students for Easter?\"\n },\n {\n \"77284\": \"Did he get one too?\"\n },\n {\n \"77285\": \"Was there a flower in one of the eggs?\"\n },\n {\n \"77286\": \"Is he alive now?\"\n },\n {\n \"77287\": \"How many eggs were on his casket?\"\n },\n {\n \"77288\": \"What was in Jeremy's egg?\"\n },\n {\n \"77289\": \"Did the teacher cry?\"\n },\n {\n \"77290\": \"When did Jeremy die?\"\n },\n {\n \"77291\": \"Were the eggs on the casket empty?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77274\",\n \"answer\": \"Jeremy\"\n },\n {\n \"question_id\": \"77275\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"77276\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"77277\",\n \"answer\": \"St. Theresa's\"\n },\n {\n \"question_id\": \"77278\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77279\",\n \"answer\": \"Doris Miller\"\n },\n {\n \"question_id\": \"77280\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"77281\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77282\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77283\",\n \"answer\": \"large plastic egg\"\n },\n {\n \"question_id\": \"77284\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77285\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77286\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77287\",\n \"answer\": \"19\"\n },\n {\n \"question_id\": \"77288\",\n \"answer\": \"It was empty\"\n },\n {\n \"question_id\": \"77289\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77290\",\n \"answer\": \"Three months later\"\n },\n {\n \"question_id\": \"77291\",\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 Having not seen or heard from her daughter in two weeks, Alexis Murphy's mother said in a CNN interview she is keeping strong with support from family and friends. \n\n\"A mother would know if her daughter is really gone, but I still have hope,\" Laura Murphy said. \n\nAlexis Murphy was last seen at a gas station earlier this month. Police have arrested a suspect in her abduction, but the suspect's attorney told a CNN affiliate his client split ways with the 17-year-old after a drug deal. \n\nMurphy's disappearance set off a search that extended 30 miles outside of Lovingston, Virginia, and involved helicopters, search parties with canine units, the Nelson County Sheriff's Office, Virginia State Police and FBI. \n\nWhere is Alexis Murphy? \n\nAlexis left her Shipman, Virginia, home to visit Lynchburg on August 3, and police have surveillance video showing her at a Lovingston gas station, according to affiliate WVIR-TV in Charlottesville. \n\nRandy Taylor, 48, was seen on the video and was arrested in her abduction Sunday, police told CNN affiliate WRC-TV, but Taylor's attorney, Michael Hallahan, told WVIR that Taylor was arrested because they found one of Alexis' hairs in his camper. \n\nThe attorney also told WVIR his client wasn't the last person to see Alexis and that police need to be looking for a \"black male, mid- to late-20s, cornrows and a 20-year-old burgundy Caprice with 22-inch wheels.\" \n\nTaylor saw the girl the night she disappeared, the lawyer said. They were both parked at the gas pumps, and Alexis made a reference to smoking marijuana, Hallahan said. Taylor told her he'd like some marijuana, the attorney said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10168\": \"Who was interviewed by CNN?\"\n },\n {\n \"10169\": \"What's her name?\"\n },\n {\n \"10170\": \"How long has it been since she's seen her daughter?\"\n },\n {\n \"10171\": \"Where's the last place Alexis was seen?\"\n },\n {\n \"10172\": \"How old is Alexis?\"\n },\n {\n \"10173\": \"What state does the story take place in?\"\n },\n {\n \"10174\": \"And what month?\"\n },\n {\n \"10175\": \"Have the police been involved?\"\n },\n {\n \"10176\": \"Only local police?\"\n },\n {\n \"10177\": \"Any other agencies?\"\n },\n {\n \"10178\": \"What town was Alexis seen last in?\"\n },\n {\n \"10179\": \"Do police have evidence of this sighting?\"\n },\n {\n \"10180\": \"Is anyone else in the video?\"\n },\n {\n \"10181\": \"Who?\"\n },\n {\n \"10182\": \"How old is he?\"\n },\n {\n \"10183\": \"Was he arrested?\"\n },\n {\n \"10184\": \"Why?\"\n },\n {\n \"10185\": \"Is there anyone else who might have seen Alexis after him?\"\n },\n {\n \"10186\": \"How was he described?\"\n },\n {\n \"10187\": \"What did Alexis and Taylor talk about?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10168\",\n \"answer\": \"Alexis Murphy's mother.\"\n },\n {\n \"question_id\": \"10169\",\n \"answer\": \"Laura.\"\n },\n {\n \"question_id\": \"10170\",\n \"answer\": \"two weeks\"\n },\n {\n \"question_id\": \"10171\",\n \"answer\": \"At a gas station\"\n },\n {\n \"question_id\": \"10172\",\n \"answer\": \"17.\"\n },\n {\n \"question_id\": \"10173\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"10174\",\n \"answer\": \"August\"\n },\n {\n \"question_id\": \"10175\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10176\",\n \"answer\": \"No, state police as well.\"\n },\n {\n \"question_id\": \"10177\",\n \"answer\": \"Nelson County Sheriff's Office and FBI.\"\n },\n {\n \"question_id\": \"10178\",\n \"answer\": \"Lovingston\"\n },\n {\n \"question_id\": \"10179\",\n \"answer\": \"Police have surveillance video.\"\n },\n {\n \"question_id\": \"10180\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10181\",\n \"answer\": \"Randy Taylor\"\n },\n {\n \"question_id\": \"10182\",\n \"answer\": \"48\"\n },\n {\n \"question_id\": \"10183\",\n \"answer\": \"He was.\"\n },\n {\n \"question_id\": \"10184\",\n \"answer\": \"They found a hair in his camper.\"\n },\n {\n \"question_id\": \"10185\",\n \"answer\": \"The attorney said there was.\"\n },\n {\n \"question_id\": \"10186\",\n \"answer\": \"As a black male with corrows and in his 20's.\"\n },\n {\n \"question_id\": \"10187\",\n \"answer\": \"Marijuana.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Ronald Reagan, shot and wounded by John Hinckley Jr., on March 30, 1981, was the ninth American president, in or out of office, to be the target of an assassination attempt since the Civil War. Four presidents were killed. \n\nWill Hinckley go free? \n\n1865: Abraham Lincoln was murdered at Ford's Theatre in Washington by Confederate sympathizer John Wilkes Booth, who was tracked down hiding on a Virginia tobacco farm 12 days later and was shot to death trying to escape. Four co-conspirators, including a woman, were hanged three months later. \n\n1881: James Garfield, only four months in office, was shot at a railway station in Washington by disappointed office-seeker Charles Guiteau. Garfield died 11 weeks later. Guiteau was convicted and hanged within the year. \n\n1901: William McKinley was shot by anarchist Leon Czolgosz at the Pan American Exposition in Buffalo, New York, and died eight days later. Czolgosz was convicted only nine days after McKinley's death and was electrocuted the next month. \n\n1912: Ex-President Theodore Roosevelt, who had succeeded McKinley in office, was making a campaign speech as the Bull Moose Party nominee in Milwaukee, Wisconsin, when he was shot and wounded by a New York saloon keeper, John Schrank, who was committed to a mental institution where he died 30 years later. Teddy Roosevelt finished the speech and lived the rest of his life with the bullet still inside his body. \n\n1933: President-elect Franklin D. Roosevelt survived unscathed when five shots were fired by Guiseppe Zangara in Miami, Florida, but Chicago Mayor Anton Cermak, standing next to Roosevelt, was killed. Zangara pleaded guilty and was electrocuted less than five weeks later. His last words: \"Push the button.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26535\": \"Who shot Ronald Reagan?\"\n },\n {\n \"26536\": \"When?\"\n },\n {\n \"26537\": \"How many American leaders have been shot?\"\n },\n {\n \"26538\": \"How many died?\"\n },\n {\n \"26539\": \"What happened in 1881?\"\n },\n {\n \"26540\": \"Where?\"\n },\n {\n \"26541\": \"By whom?\"\n },\n {\n \"26542\": \"Did he die?\"\n },\n {\n \"26543\": \"Did Guiteau stand trial?\"\n },\n {\n \"26544\": \"What was his sentence?\"\n },\n {\n \"26545\": \"Who was shot in 1865?\"\n },\n {\n \"26546\": \"Where?\"\n },\n {\n \"26547\": \"By whom?\"\n },\n {\n \"26548\": \"Were there anyone else involved?\"\n },\n {\n \"26549\": \"Who did Leon Czolgosz attack?\"\n },\n {\n \"26550\": \"When?\"\n },\n {\n \"26551\": \"Where?\"\n },\n {\n \"26552\": \"What city?\"\n },\n {\n \"26553\": \"What happened in Wisconsin?\"\n },\n {\n \"26554\": \"What was interesting about this one?\"\n },\n {\n \"26555\": \"Who was shot but didn't get hit?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26535\",\n \"answer\": \"John Hinckley Jr.\"\n },\n {\n \"question_id\": \"26536\",\n \"answer\": \"March 30, 1981\"\n },\n {\n \"question_id\": \"26537\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"26538\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"26539\",\n \"answer\": \"James Garfield was shot\"\n },\n {\n \"question_id\": \"26540\",\n \"answer\": \"Washington\"\n },\n {\n \"question_id\": \"26541\",\n \"answer\": \"Charles Guiteau\"\n },\n {\n \"question_id\": \"26542\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26543\",\n \"answer\": \"Guiteau was convicted\"\n },\n {\n \"question_id\": \"26544\",\n \"answer\": \"hanging\"\n },\n {\n \"question_id\": \"26545\",\n \"answer\": \"Abraham Lincoln\"\n },\n {\n \"question_id\": \"26546\",\n \"answer\": \"Washington\"\n },\n {\n \"question_id\": \"26547\",\n \"answer\": \"John Wilkes Booth\"\n },\n {\n \"question_id\": \"26548\",\n \"answer\": \"Four co-conspirators\"\n },\n {\n \"question_id\": \"26549\",\n \"answer\": \"William McKinley\"\n },\n {\n \"question_id\": \"26550\",\n \"answer\": \"1901\"\n },\n {\n \"question_id\": \"26551\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"26552\",\n \"answer\": \"Buffalo\"\n },\n {\n \"question_id\": \"26553\",\n \"answer\": \"Theodore Roosevelt was shot\"\n },\n {\n \"question_id\": \"26554\",\n \"answer\": \"bullet is still inside his body\"\n },\n {\n \"question_id\": \"26555\",\n \"answer\": \"Franklin D. Roosevelt\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n DirecTV (stylized as DIRECTV or simply DTV) is an American direct broadcast satellite service provider based in El Segundo, California and is a subsidiary of AT&T. Its satellite service, launched on June 17, 1994, transmits digital satellite television and audio to households in the United States, Latin America and the Caribbean. Its primary competitors are Dish Network and cable television providers. On July 24, 2015, after receiving approval from the United States Federal Communications Commission and United States Department of Justice, AT&T acquired DirecTV in a transaction valued at $48.5 billion. \n\nDirecTV provides television and audio services to subscribers through satellite transmissions. Services include the equivalent of many local television stations, broadcast television networks, subscription television services, satellite radio services, and private video services. Subscribers have access to hundreds of channels, so its competitors are cable television service and other satellite-based services. \n\nMost subscribers use reception antennas which are much smaller than the first generation antennas, which were typically a few yards (meters) across. Advances in antenna technology, including fractal antennas, have allowed a general reduction in antenna size across all industries and applications. Receiving equipment includes a satellite dish, an integrated receiver/decoder and a DirecTV access card, which is necessary to operate the receiver/decoder.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61094\": \"how are the services in the article provided?\"\n },\n {\n \"61095\": \"who provides them?\"\n },\n {\n \"61096\": \"are they called anything else?\"\n },\n {\n \"61097\": \"what?\"\n },\n {\n \"61098\": \"where are they headquartered?\"\n },\n {\n \"61099\": \"are they owned by a larger company?\"\n },\n {\n \"61100\": \"who?\"\n },\n {\n \"61101\": \"when did they buy them?\"\n },\n {\n \"61102\": \"did someone have to approve the purchase?\"\n },\n {\n \"61103\": \"more than one entity?\"\n },\n {\n \"61104\": \"who were they?\"\n },\n {\n \"61105\": \"how much did AT&T pay?\"\n },\n {\n \"61106\": \"what kind of service does the company provide?\"\n },\n {\n \"61107\": \"to everyone?\"\n },\n {\n \"61108\": \"who do they provide service to?\"\n },\n {\n \"61109\": \"does it say what types of services are available?\"\n },\n {\n \"61110\": \"what one is first?\"\n },\n {\n \"61111\": \"is there a large channel selection?\"\n },\n {\n \"61112\": \"how many?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61094\",\n \"answer\": \"through satellite transmissions\"\n },\n {\n \"question_id\": \"61095\",\n \"answer\": \"DirecTV\"\n },\n {\n \"question_id\": \"61096\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61097\",\n \"answer\": \"DIRECTV or DTV\"\n },\n {\n \"question_id\": \"61098\",\n \"answer\": \"El Segundo, California\"\n },\n {\n \"question_id\": \"61099\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61100\",\n \"answer\": \"AT&T\"\n },\n {\n \"question_id\": \"61101\",\n \"answer\": \"On July 24, 2015\"\n },\n {\n \"question_id\": \"61102\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61103\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61104\",\n \"answer\": \"the United States Federal Communications Commission and United States Department of Justice\"\n },\n {\n \"question_id\": \"61105\",\n \"answer\": \"$48.5 billion\"\n },\n {\n \"question_id\": \"61106\",\n \"answer\": \"television and audio\"\n },\n {\n \"question_id\": \"61107\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61108\",\n \"answer\": \"subscribers\"\n },\n {\n \"question_id\": \"61109\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61110\",\n \"answer\": \"television\"\n },\n {\n \"question_id\": \"61111\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61112\",\n \"answer\": \"hundreds\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER I \n\nOUT IN THE STORM \n\n\"Jack, it looks as if we were in for another storm.\" \n\n\"Yes, and it's starting right now,\" declared Captain Jack Rover, as he glanced through the trees to the overcast sky. \"Don't you hear it on the leaves?\" \n\n\"It does beat everything!\" declared Andy Rover, his usually bright face clouding a bit. \"It has rained enough in the past two weeks to last a year.\" \n\n\"Do you know, I like these constant rains less than I liked being snowbound up at Cedar Lodge,\" put in Lieutenant Fred Rover. \n\n\"Oh, there was some fun in being snowbound,\" declared Randy Rover. \"A fellow could go out in it and have the best time ever. But what can a chap do when the rain is coming down to beat the band?\" \n\n\"Well, you can go out and get a shower-bath free of charge,\" commented his twin gaily. \n\n\"I'll take my showers in the gym,\" was the quick reply. \"Gee! listen to that, will you?\" \n\nThere was no need for any of the four Rover boys to listen, or to look, either. A blinding flash of lightning had swept the sky, followed almost immediately by a crash of thunder in the woods behind them. Then followed another crash, as of falling timber. \n\n\"It struck a tree, I'll bet a new cap!\" exclaimed Jack. \n\n\"Yes, and it was a little bit too close for comfort, too,\" answered his cousin Fred. \n\nThe thunder and lightning were followed by a sudden rush of wind which caused the trees of the forest to sway violently. Then the downfall of rain increased until it was little short of a deluge. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86930\": \"Does Fred Rover like the rain better than being snowbound?\"\n },\n {\n \"86931\": \"Does Randy Rover think there's fun in being snowbound?\"\n },\n {\n \"86932\": \"What is Jack Rover's rank?\"\n },\n {\n \"86933\": \"What is Fred's?\"\n },\n {\n \"86934\": \"How many Rover boys total are there?\"\n },\n {\n \"86935\": \"Are any of them twins?\"\n },\n {\n \"86936\": \"What Lodge is mentioned?\"\n },\n {\n \"86937\": \"What did one of the boys say you could get free of charge in the rain?\"\n },\n {\n \"86938\": \"Where did another prefer to take his?\"\n },\n {\n \"86939\": \"What did Jack bet?\"\n },\n {\n \"86940\": \"What was he betting about?\"\n },\n {\n \"86941\": \"What followed the thunder and lightning?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86930\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86931\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86932\",\n \"answer\": \"Captain\"\n },\n {\n \"question_id\": \"86933\",\n \"answer\": \"Lieutenant\"\n },\n {\n \"question_id\": \"86934\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"86935\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86936\",\n \"answer\": \"Cedar Lodge\"\n },\n {\n \"question_id\": \"86937\",\n \"answer\": \"a shower-bath\"\n },\n {\n \"question_id\": \"86938\",\n \"answer\": \"in the gym\"\n },\n {\n \"question_id\": \"86939\",\n \"answer\": \"a new cap\"\n },\n {\n \"question_id\": \"86940\",\n \"answer\": \"lightning struck a tree\"\n },\n {\n \"question_id\": \"86941\",\n \"answer\": \"another crash\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TWELVE. \n\nSAGE CONVERSE BETWEEN HAKE AND BERTHA--BIARNE IS OUTWITTED--A MONSTER IS SLAIN, AND SAVAGES APPEAR ON THE SCENE. \n\nNot long after this an event occurred which produced great excitement in the new settlement; namely, the appearance of natives in the woods. It occurred under the following circumstances. \n\nOne morning Karlsefin gave orders for one of the exploring parties to be got ready to go out immediately. Karlsefin's plan from the beginning had been to class his men in two divisions. One half stayed at home to work, the other half searched the land,--always taking care, however, not to travel so far but that they could return home in the evening. They were careful also not to wander far from each other. Sometimes Karlsefin went with the exploring party, at other times stayed at home to superintend the work there, while Biarne or Thorward filled his place. On the occasion in question Biarne was in charge. \n\nSoon after the party had started, Hake, who was one of them, observed a female figure disappear round a copse near the shores of the lake. At that part they were about to strike off into the thick woods, so Hake went up to Biarne and asked leave to go along by the borders of the lake, saying that he could overtake the party again before they had reached the Willow Glen, a well-known rendezvous of the hunters and explorers of the colony. \n\n\"Go as thou wilt, Hake,\" replied Biarne; \"only see to it that ye overtake us before noon, as I intend to go on a totally new path to-day.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41116\": \"Who gave orders?\"\n },\n {\n \"41117\": \"What were they?\"\n },\n {\n \"41118\": \"Who many groups was he forming?\"\n },\n {\n \"41119\": \"Did the first group stay in the house to play?\"\n },\n {\n \"41120\": \"What did they do?\"\n },\n {\n \"41121\": \"What of the other?\"\n },\n {\n \"41122\": \"Did they stay out overnight?\"\n },\n {\n \"41123\": \"Did the order-giver always attend the searching?\"\n },\n {\n \"41124\": \"How many helpers did he have?\"\n },\n {\n \"41125\": \"Who were they?\"\n },\n {\n \"41126\": \"Who saw the woman?\"\n },\n {\n \"41127\": \"Did she vanish around the house?\"\n },\n {\n \"41128\": \"Where did she vanish?\"\n },\n {\n \"41129\": \"Was this new happening boring?\"\n },\n {\n \"41130\": \"What was it?\"\n },\n {\n \"41131\": \"Where is the hunter rendevous?\"\n },\n {\n \"41132\": \"Was this spot secret?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41116\",\n \"answer\": \"Karlsefin\"\n },\n {\n \"question_id\": \"41117\",\n \"answer\": \"exploring parties to be got ready to go out\"\n },\n {\n \"question_id\": \"41118\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"41119\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41120\",\n \"answer\": \"work\"\n },\n {\n \"question_id\": \"41121\",\n \"answer\": \"searched the land\"\n },\n {\n \"question_id\": \"41122\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41123\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41124\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"41125\",\n \"answer\": \"Biarne and Thorward\"\n },\n {\n \"question_id\": \"41126\",\n \"answer\": \"Hake\"\n },\n {\n \"question_id\": \"41127\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41128\",\n \"answer\": \"a copse\"\n },\n {\n \"question_id\": \"41129\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"41130\",\n \"answer\": \"exciting\"\n },\n {\n \"question_id\": \"41131\",\n \"answer\": \"Willow Glen\"\n },\n {\n \"question_id\": \"41132\",\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 Horsepower (hp) is a unit of measurement of power (the rate at which work is done). There are many different standards and types of horsepower. Two common definitions being used today are the mechanical horsepower (or imperial horsepower), which is 745.7 watts, and the metric horsepower, which is approximately 735.5 watts. \n\nThe term was adopted in the late 18th century by Scottish engineer James Watt to compare the output of steam engines with the power of draft horses. It was later expanded to include the output power of other types of piston engines, as well as turbines, electric motors and other machinery. The definition of the unit varied among geographical regions. Most countries now use the SI unit \"watt\" for measurement of power. With the implementation of the EU Directive 80/181/EEC on January 1, 2010, the use of horsepower in the EU is permitted only as a supplementary unit. \n\nThe development of the steam engine provided a reason to compare the output of horses with that of the engines that could replace them. In 1702, Thomas Savery wrote in \"The Miner's Friend\": \n\nSo that an engine which will raise as much water as two horses, working together at one time in such a work, can do, and for which there must be constantly kept ten or twelve horses for doing the same. Then I say, such an engine may be made large enough to do the work required in employing eight, ten, fifteen, or twenty horses to be constantly maintained and kept for doing such a work…\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88269\": \"What does hp stand for?\"\n },\n {\n \"88270\": \"Is there only one type of Hp?\"\n },\n {\n \"88271\": \"What is one type?\"\n },\n {\n \"88272\": \"What else is that type called?\"\n },\n {\n \"88273\": \"Is that 735 watts?\"\n },\n {\n \"88274\": \"How many watts is it?\"\n },\n {\n \"88275\": \"Which type is approximately 735 watts?\"\n },\n {\n \"88276\": \"Who is a Watt named for?\"\n },\n {\n \"88277\": \"When did this occur?\"\n },\n {\n \"88278\": \"What did the term compare the output of steam engines to?\"\n },\n {\n \"88279\": \"Did it ever include engines of other types?\"\n },\n {\n \"88280\": \"What is one kind?\"\n },\n {\n \"88281\": \"Was the meaning the same no matter where you were?\"\n },\n {\n \"88282\": \"What is it known as now for the most part?\"\n },\n {\n \"88283\": \"What happened in January of 2010?\"\n },\n {\n \"88284\": \"What did that mean for the EU?\"\n },\n {\n \"88285\": \"Who did something in 1702?\"\n },\n {\n \"88286\": \"What did he do?\"\n },\n {\n \"88287\": \"Did he think an engine could do the work of twenty horses?\"\n },\n {\n \"88288\": \"How would it have to be maintained?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88269\",\n \"answer\": \"Horsepower\"\n },\n {\n \"question_id\": \"88270\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"88271\",\n \"answer\": \"imperial horsepower\"\n },\n {\n \"question_id\": \"88272\",\n \"answer\": \"mechanical horsepower\"\n },\n {\n \"question_id\": \"88273\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"88274\",\n \"answer\": \"745.7 watts\"\n },\n {\n \"question_id\": \"88275\",\n \"answer\": \"metric horsepower\"\n },\n {\n \"question_id\": \"88276\",\n \"answer\": \"James Watt\"\n },\n {\n \"question_id\": \"88277\",\n \"answer\": \"late 18th century\"\n },\n {\n \"question_id\": \"88278\",\n \"answer\": \"The power of draft horses.\"\n },\n {\n \"question_id\": \"88279\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88280\",\n \"answer\": \"piston engines\"\n },\n {\n \"question_id\": \"88281\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"88282\",\n \"answer\": \"SI unit .\"\n },\n {\n \"question_id\": \"88283\",\n \"answer\": \"EU Directive 80/181/EEC\"\n },\n {\n \"question_id\": \"88284\",\n \"answer\": \"That the use of horsepower in the EU is permitted only as a supplementary unit.\"\n },\n {\n \"question_id\": \"88285\",\n \"answer\": \"Thomas Savery\"\n },\n {\n \"question_id\": \"88286\",\n \"answer\": \"Wrote in \\\"The Miner's Friend\\\":\"\n },\n {\n \"question_id\": \"88287\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88288\",\n \"answer\": \"Constantly.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Quechua , also known as runa simi (\"people's language\"), is an indigenous language family, with variations spoken by the Quechua peoples, primarily living in the Andes and highlands of South America. Derived from a common ancestral language, it is the most widely spoken language family of indigenous peoples of the Americas, with a total of probably some 8–10 million speakers. Approximately 13% of Peruvians speak Quechua. It is perhaps most widely known for being the main language of the Inca Empire, and was disseminated by the colonizers throughout their reign. \n\nQuechua had already expanded across wide ranges of the central Andes long before the expansion of the Inca Empire. The Inca were one among many peoples in present-day Peru who already spoke forms of Quechua. In the Cusco region, Quechua was influenced by local languages such as Aymara. The Cuzco variety of Quechua developed as quite distinct. In similar ways, diverse dialects developed in different areas, related to existing local languages, when the Inca Empire ruled and imposed Quechua as the official language. \n\nAfter the Spanish conquest of the Inca Empire in the 16th century, Quechua continued to be used widely by the indigenous peoples as the \"common language.\" It was officially recognized by the Spanish administration and many Spanish learned it in order to communicate with the local peoples. Clergy of the Catholic Church adopted Quechua to use as the language of evangelization. Given its use by the Catholic missionaries, the range of Quechua continued to expand in some areas.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58816\": \"What language is the article referring to?\"\n },\n {\n \"58817\": \"What else is it known as?\"\n },\n {\n \"58818\": \"which means?\"\n },\n {\n \"58819\": \"Who speaks the language\"\n },\n {\n \"58820\": \"Where do they live\"\n },\n {\n \"58821\": \"is it a widely spoken language\"\n },\n {\n \"58822\": \"How many people speak it\"\n },\n {\n \"58823\": \"How many Peruvians\"\n },\n {\n \"58824\": \"What is it widely known for\"\n },\n {\n \"58825\": \"What century did the Spanish come into the empire\"\n },\n {\n \"58826\": \"Did they learn the language as well\"\n },\n {\n \"58827\": \"What church also used the language\"\n },\n {\n \"58828\": \"Did this help expand it even more?\"\n },\n {\n \"58829\": \"What languages helped influence it?\"\n },\n {\n \"58830\": \"What country is Inca from\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"58816\",\n \"answer\": \"Quechua\"\n },\n {\n \"question_id\": \"58817\",\n \"answer\": \"runa simi\"\n },\n {\n \"question_id\": \"58818\",\n \"answer\": \"people's language\"\n },\n {\n \"question_id\": \"58819\",\n \"answer\": \"Quechua peoples\"\n },\n {\n \"question_id\": \"58820\",\n \"answer\": \"in the Andes\"\n },\n {\n \"question_id\": \"58821\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58822\",\n \"answer\": \"8\\u201310 million\"\n },\n {\n \"question_id\": \"58823\",\n \"answer\": \"13%\"\n },\n {\n \"question_id\": \"58824\",\n \"answer\": \"\\\\being the main language of the Inca Empire\"\n },\n {\n \"question_id\": \"58825\",\n \"answer\": \"16th\"\n },\n {\n \"question_id\": \"58826\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58827\",\n \"answer\": \"the Catholic Church\"\n },\n {\n \"question_id\": \"58828\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58829\",\n \"answer\": \"Aymara, Cuzco\"\n },\n {\n \"question_id\": \"58830\",\n \"answer\": \"Peru\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Obsession often brings joy and sorrow in equal measure. \n\nInside that thin, shiny packet giving off a mystical glow sits five stickers -- five faces of five men whose very presence can turn lives upside down. \n\nWelcome to the world of World Cup sticker collecting. \n\n\"My girlfriend gave me an ultimatum the other day, her or the football stickers? Shame really, I thought she was the one,\" Daniel Blazer, a British collector, told CNN. \n\nWhile most relationships survive the sticker phase, Blazer is not alone in his infatuation with the shiny adhesives which smile back at those dreaming of the holy grail -- the full sticker album. \n\nSome are relentless in their pursuit of that holy grail, setting up spreadsheets and even calling in their spouse to increase the odds of successful swapping. \n\n\"My husband, Stephen, is obsessed with his sticker album,\" Emma Conway, who blogs under the name of brummymummyof2, told CNN. \n\n\"He has his own spreadsheet so he knows what he needs and what he doesn't. It does get annoying. \n\n\"Every time I go near a shop I have to get my three-year-old daughter some stickers and then get some for my 31-year-old husband. \n\n\"He's a fantastic dad to our two children but I think the opportunity to collect stickers reminds him and his friends of being kids. \n\n\"When I go to work, he gives me his swaps, and I swap them with my colleagues and then bring them back. \n\n\"I'm like a drug dealer...but with stickers.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22137\": \"What event are the stickers associated with?\"\n },\n {\n \"22138\": \"How many people are quoted in the article?\"\n },\n {\n \"22139\": \"Is one of them a man?\"\n },\n {\n \"22140\": \"Where's he from?\"\n },\n {\n \"22141\": \"What's his name?\"\n },\n {\n \"22142\": \"Who's the other person quoted?\"\n },\n {\n \"22143\": \"Is she single?\"\n },\n {\n \"22144\": \"What is her spouse's name?\"\n },\n {\n \"22145\": \"How old is he?\"\n },\n {\n \"22146\": \"How many children do they have?\"\n },\n {\n \"22147\": \"How many people in their family collect stickers?\"\n },\n {\n \"22148\": \"Who, besides the husband, does?\"\n },\n {\n \"22149\": \"Does Stephen have a method to keep track of his stickers?\"\n },\n {\n \"22150\": \"What is it?\"\n },\n {\n \"22151\": \"Does the wife have a blog?\"\n },\n {\n \"22152\": \"What screen name does she use?\"\n },\n {\n \"22153\": \"Does she help her hubby with his hobby?\"\n },\n {\n \"22154\": \"How?\"\n },\n {\n \"22155\": \"Does she help in another way?\"\n },\n {\n \"22156\": \"How's that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22137\",\n \"answer\": \"the World Cup\"\n },\n {\n \"question_id\": \"22138\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"22139\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22140\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"22141\",\n \"answer\": \"Daniel Blazer\"\n },\n {\n \"question_id\": \"22142\",\n \"answer\": \"Emma Conway\"\n },\n {\n \"question_id\": \"22143\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22144\",\n \"answer\": \"Stephen\"\n },\n {\n \"question_id\": \"22145\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"22146\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"22147\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"22148\",\n \"answer\": \"their three-year-old daughter\"\n },\n {\n \"question_id\": \"22149\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22150\",\n \"answer\": \"a spreadsheet\"\n },\n {\n \"question_id\": \"22151\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22152\",\n \"answer\": \"brummymummyof2\"\n },\n {\n \"question_id\": \"22153\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22154\",\n \"answer\": \"she buys them for him in shops\"\n },\n {\n \"question_id\": \"22155\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22156\",\n \"answer\": \"take them to work and swaps with colleagues\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Kanye Omari West (/ˈkɑːnjeɪ/; born June 8, 1977) is an American hip hop recording artist, record producer, rapper, fashion designer, and entrepreneur. He is among the most acclaimed musicians of the 21st century, attracting both praise and controversy for his work and his outspoken public persona. \n\nRaised in Chicago, West briefly attended art school before becoming known as a producer for Roc-A-Fella Records in the early 2000s, producing hit singles for artists such as Jay-Z and Alicia Keys. Intent on pursuing a solo career as a rapper, West released his debut album The College Dropout in 2004 to widespread commercial and critical success, and founded record label GOOD Music. He went on to explore a variety of different musical styles on subsequent albums that included the baroque-inflected Late Registration (2005), the arena-inspired Graduation (2007), and the starkly polarizing 808s & Heartbreak (2008). In 2010, he released his critically acclaimed fifth album, the maximalist My Beautiful Dark Twisted Fantasy, and the following year he collaborated with Jay-Z on the joint LP Watch the Throne (2011). West released his abrasive sixth album, Yeezus, to further critical praise in 2013. Following a series of recording delays and work on non-musical projects, West's seventh album, The Life of Pablo, was released in 2016.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45790\": \"When was West born?\"\n },\n {\n \"45791\": \"where did he grow up?\"\n },\n {\n \"45792\": \"did he attend any special school?\"\n },\n {\n \"45793\": \"what was he first known for?\"\n },\n {\n \"45794\": \"how many job titles does he have?\"\n },\n {\n \"45795\": \"how many albums does he have?\"\n },\n {\n \"45796\": \"when was the last released?\"\n },\n {\n \"45797\": \"what was the first?\"\n },\n {\n \"45798\": \"who has he worked with?\"\n },\n {\n \"45799\": \"why did he stop producing?\"\n },\n {\n \"45800\": \"why is he controversal?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45790\",\n \"answer\": \"June 8, 1977. June 8, 1977\"\n },\n {\n \"question_id\": \"45791\",\n \"answer\": \"Raised in Chicago. In Chicago.\"\n },\n {\n \"question_id\": \"45792\",\n \"answer\": \"attended art school. Yes, he did.\"\n },\n {\n \"question_id\": \"45793\",\n \"answer\": \"known as a producer for Roc-A-Fella Records. He was known as a music producer.\"\n },\n {\n \"question_id\": \"45794\",\n \"answer\": \"American hip hop recording artist, record producer, rapper, fashion designer, and entrepreneur. Five.\"\n },\n {\n \"question_id\": \"45795\",\n \"answer\": \"West's seventh album. Seven.\"\n },\n {\n \"question_id\": \"45796\",\n \"answer\": \"released in 2016. In 2016.\"\n },\n {\n \"question_id\": \"45797\",\n \"answer\": \"The College Dropout in 2004. In 2004.\"\n },\n {\n \"question_id\": \"45798\",\n \"answer\": \"Jay-Z and Alicia Keys. He has worked with Jay-Z and Alicia Keys.\"\n },\n {\n \"question_id\": \"45799\",\n \"answer\": \"ntent on pursuing a solo career as a rapper. He wanted to try a career as a rapper.\"\n },\n {\n \"question_id\": \"45800\",\n \"answer\": \"outspoken public persona. His work and his outspoken public persona.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n On the southern fringes of Donetsk, in the shadow of a huge steel plant, a cacophony of barking overwhelms the dull thud of artillery fire. The PIF animal shelter is crammed with almost 1,000 dogs of all sizes, ages and breeds (though the number that can claim any sort of pedigree is probably in single figures). \n\nMany are orphans of the conflict that has shaken this city for the past six months. Their owners have left or in a few cases been killed by the shelling. Some have been discovered tied up and emaciated; others carry the scars of shrapnel or hobble around on three legs. There are several in every cage, with a handful of straw to protect them from temperatures that plunge far below freezing at night. \n\nThe director of the sanctuary is Victoria Vasilieva, a tall middle-aged woman with jet black hair, whose compassion for the animals in her care is unstinting. She cradles a young dog called Jennifer, the only survivor when a shell hit her family's home near the airport. Jennifer was found traumatized in the ruins and it has taken weeks to gain her trust. \n\nVasilieva says that the dogs here used to be terrified by the sounds of war. Now, like the people of Donetsk, they hardly notice them. \n\nInside the office block, a puppy -- mostly black Labrador - is recovering from a broken leg and shrapnel wound. Vats of oatmeal are cooking in the yard. It's like feeding an army. A few very lucky dogs are going to new homes in Germany, Finland and Russia, but the great majority will remain at the shelter so long as there is money to feed them. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11258\": \"Who is director of the animal shelter?\"\n },\n {\n \"11259\": \"Is she a young woman?\"\n },\n {\n \"11260\": \"Does she have a lot of sympathy for the animals there?\"\n },\n {\n \"11261\": \"Which animal is she holding during the story?\"\n },\n {\n \"11262\": \"Were there any other survivors where she was found?\"\n },\n {\n \"11263\": \"What happened to her family's house?\"\n },\n {\n \"11264\": \"What was the extent of the dog's injuries?\"\n },\n {\n \"11265\": \"Is she having trouble warming up to Victoria?\"\n },\n {\n \"11266\": \"Where is this shelter?\"\n },\n {\n \"11267\": \"What sits next to it?\"\n },\n {\n \"11268\": \"how many dogs are housed at the shelter?\"\n },\n {\n \"11269\": \"Are the majority full blooded breeds?\"\n },\n {\n \"11270\": \"What's been happening there to cause so many dogs to be impounded?\"\n },\n {\n \"11271\": \"For how long?\"\n },\n {\n \"11272\": \"What's an example of how a dog might end up there?\"\n },\n {\n \"11273\": \"Have some of them lost a limb?\"\n },\n {\n \"11274\": \"How many are in each cage?\"\n },\n {\n \"11275\": \"What do they have for warmth?\"\n },\n {\n \"11276\": \"What is the black lab puppy healing from?\"\n },\n {\n \"11277\": \"What do the dogs eat?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11258\",\n \"answer\": \"Victoria Vasilieva\"\n },\n {\n \"question_id\": \"11259\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11260\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11261\",\n \"answer\": \"Jennifer\"\n },\n {\n \"question_id\": \"11262\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11263\",\n \"answer\": \"a shell hit it\"\n },\n {\n \"question_id\": \"11264\",\n \"answer\": \"she was traumatized\"\n },\n {\n \"question_id\": \"11265\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11266\",\n \"answer\": \"Donetsk\"\n },\n {\n \"question_id\": \"11267\",\n \"answer\": \"a steel plant\"\n },\n {\n \"question_id\": \"11268\",\n \"answer\": \"almost 1,000\"\n },\n {\n \"question_id\": \"11269\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11270\",\n \"answer\": \"conflict\"\n },\n {\n \"question_id\": \"11271\",\n \"answer\": \"six months\"\n },\n {\n \"question_id\": \"11272\",\n \"answer\": \"being discovered tied up and emaciated\"\n },\n {\n \"question_id\": \"11273\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11274\",\n \"answer\": \"several\"\n },\n {\n \"question_id\": \"11275\",\n \"answer\": \"a handful of straw\"\n },\n {\n \"question_id\": \"11276\",\n \"answer\": \"a broken leg and shrapnel wound\"\n },\n {\n \"question_id\": \"11277\",\n \"answer\": \"oatmeal\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 62 \n\nThis recognition of Rome by Lothair evinced not only a consciousness of locality, but an interest in it not before exhibited; and the monsignore soon after seized the opportunity of drawing the mind of his companion to the past, and feeling how far he now realized the occurrences that immediately preceded his arrival in the city. But Lothair would not dwell on them. \"I wish to think of nothing,\" he said, \"that happened before I entered this city: all I desire now is to know those to whom I am indebted for my preservation in a condition that seemed hopeless.\" \n\n\"There is nothing hopeless with Divine aid,\" said the monsignore; \"but, humanly speaking, you are indebted for your preservation to English friends, long and intimately cherished. It is under their roof that you dwell, the Agostini palace, tenanted by Lord St. Jerome.\" \n\n\"Lord St. Jerome!\" murmured Lothair to himself. \n\n\"And the ladies of his house are those who, only with some slight assistance from my poor self, tended you throughout your most desperate state, and when we sometimes almost feared that mind and body were alike wrecked.\" \n\n\"I have a dream of angels,\" said Lothair; \"and sometimes I listened to heavenly voices that I seemed to have heard before.\" \n\n\"I am sure you have not forgotten the ladies of that house?\" said Catesby, watching his countenance. \n\n\"No; one of them summoned me to meet her at Rome,\" murmured Lothair, \"and I am here.\" \n\n\"That summons was divine,\" said Catesby, \"and only the herald of the great event that was ordained and has since occurred. In this holy city, Miss Arundel must ever count as the most sanctified of her sex.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8834\": \"Who was being told where he was at?\"\n },\n {\n \"8835\": \"In whose home was he?\"\n },\n {\n \"8836\": \"And where was the Lord from?\"\n },\n {\n \"8837\": \"What was his place called?\"\n },\n {\n \"8838\": \"Who took care of him?\"\n },\n {\n \"8839\": \"Specifically who?\"\n },\n {\n \"8840\": \"And who also lent a hand?\"\n },\n {\n \"8841\": \"How was the man's condition while being looked after?\"\n },\n {\n \"8842\": \"What would the injured man not put thoughts to?\"\n },\n {\n \"8843\": \"With what are things not hopeless?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"8834\",\n \"answer\": \"Lothair\"\n },\n {\n \"question_id\": \"8835\",\n \"answer\": \"Lord St. Jerome.\\\"\"\n },\n {\n \"question_id\": \"8836\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"8837\",\n \"answer\": \"the Agostini palace\"\n },\n {\n \"question_id\": \"8838\",\n \"answer\": \"English friends\"\n },\n {\n \"question_id\": \"8839\",\n \"answer\": \"the ladies of his house\"\n },\n {\n \"question_id\": \"8840\",\n \"answer\": \"Lothair\"\n },\n {\n \"question_id\": \"8841\",\n \"answer\": \"seemed hopeless\"\n },\n {\n \"question_id\": \"8842\",\n \"answer\": \"how far he now realized the occurrences that immediately preceded his arrival in the city\"\n },\n {\n \"question_id\": \"8843\",\n \"answer\": \"There is nothing hopeless with Divine aid,\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Mitt Romney is rumored to be announcing a choice soon for his vice presidential running mate, and conventional thinking suggests his pick is going to be \"safe,\" someone who brings a high measure of conservative street cred, and preferably from a swing state. \n\nIn other words, the rumor is the guy who has trouble getting people to like him is going to pick someone even more boring than him. \n\nIt seems he hasn't figured out that as long as Barack Obama is president, his base will be fired up in spite of his dull personality, so what he doesn't need to do is waste this pick on a running mate Republicans will like. \n\nWhat he needs is someone who can attract voters on the fence. \n\nA media darling with a successful track record to point to and someone whose social politics won't immediately get them labeled by independents as \"crazy.\" \n\nRomney risks playing running mate hand too early \n\nEnter Michael Bloomberg: that union-fighting/gay-couple-loving renegade who would make things complicated for Democrats because he's managed to get elected three times in the most diverse region in the country while being a rich, old white guy. \n\nFour years ago, Sen. John McCain selected a game changer who turned out to be better in theory than in practice. Like Sarah Palin, Bloomberg would be a curve ball. But while she got people talking, the New York mayor would get people talking and thinking. \n\nHow? \n\nBy being something many of the other VP options are not: a real Republican. An old school Republican. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40264\": \"Who does the author say might be a curveball to the campaign?\"\n },\n {\n \"40265\": \"What position is he being considered for?\"\n },\n {\n \"40266\": \"For which presidential candidate?\"\n },\n {\n \"40267\": \"What party is he running under?\"\n },\n {\n \"40268\": \"Is he expected to make a \\\"safe\\\" choice?\"\n },\n {\n \"40269\": \"From which type of state would a \\\"safe\\\" person be?\"\n },\n {\n \"40270\": \"Who is Romney running against?\"\n },\n {\n \"40271\": \"Who might Bloomberg make things \\\"complicated for\\\"?\"\n },\n {\n \"40272\": \"Does he support unions?\"\n },\n {\n \"40273\": \"Who else was described as a \\\"game changer\\\" in a previous election?\"\n },\n {\n \"40274\": \"Who selected her?\"\n },\n {\n \"40275\": \"How many years ago was that?\"\n },\n {\n \"40276\": \"Who does the author describe as a \\\"rich, old white guy\\\"?\"\n },\n {\n \"40277\": \"How many times was he elected, despite that reputation?\"\n },\n {\n \"40278\": \"Does the author find Romney boring?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40264\",\n \"answer\": \"\\\\ Michael Bloomberg\"\n },\n {\n \"question_id\": \"40265\",\n \"answer\": \"VP\"\n },\n {\n \"question_id\": \"40266\",\n \"answer\": \"Mitt Romney\"\n },\n {\n \"question_id\": \"40267\",\n \"answer\": \"Republican.\"\n },\n {\n \"question_id\": \"40268\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"40269\",\n \"answer\": \"a swing state.\"\n },\n {\n \"question_id\": \"40270\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"40271\",\n \"answer\": \"Democrats\"\n },\n {\n \"question_id\": \"40272\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"40273\",\n \"answer\": \"Sarah Palin\"\n },\n {\n \"question_id\": \"40274\",\n \"answer\": \"John McCain\"\n },\n {\n \"question_id\": \"40275\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"40276\",\n \"answer\": \"Michael Bloomberg\"\n },\n {\n \"question_id\": \"40277\",\n \"answer\": \"three times\"\n },\n {\n \"question_id\": \"40278\",\n \"answer\": \"yes\"\n }\n]\n" } ]

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