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 (CNN) -- Another musical titan whose soaring voice ruled the charts for decades has fallen. \n\nWhitney Houston joins an august list of the departed since Michael Jackson's death nearly three years ago. \n\n\"First there was MJ, then there was Heavy D and now Whitney,\" said Shaun Jones, 47, of Titusville, Florida, adding that he jumped out of bed in disbelief when he heard news of Houston's death. \n\nRapper Heavy D died last year, as did Nick Ashford, who was one half of the Motown duo Ashford and Simpson. \n\nAnd in late 2010, singer Mary Christine Brockert, better known by her stage name Teena Marie, died in her sleep. \n\n\"It's shocking ... all these people are legends. A lot of them are dying too young. It's crazy.\" \n\nPop icons such as Houston enjoyed staggering success through the 1980s and into the 1990s, and served as role models to a generation of singers today. \n\nAnnouncements about their deaths are always almost followed by tributes from younger pop stars acknowledging how much influence they've had on their careers. \n\n\"Icons from that era stood out,\" Jones said. \"They had distinct voices -- I can always tell when a song is by Whitney -- they made music back then.\" \n\nHouston was a \"hero for Gen X black girls,\" said CNN iReporter Tessa Jackson of New Orleans. She said when she was \"a black teenager going to a predominantly white high school in California, Whitney was my style icon and hero ... She made me and other girls like me feel like we didn't have to be blonde and blue-eyed to be beautiful and admired. I wish she knew how much she did for my and my friends' self-esteem.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34320\": \"Who died in her sleep?\"\n },\n {\n \"34321\": \"In what year?\"\n },\n {\n \"34322\": \"Who died in August?\"\n },\n {\n \"34323\": \"How many years seperate Houston and Jackson's death?\"\n },\n {\n \"34324\": \"Which rapper died last year?\"\n },\n {\n \"34325\": \"Which Motown singer died the same year?\"\n },\n {\n \"34326\": \"What duo did he participate in?\"\n },\n {\n \"34327\": \"What always follows icons' death announcements?\"\n },\n {\n \"34328\": \"Who was Huston a role model for?\"\n },\n {\n \"34329\": \"Who described her as a \\\"style icon and hero\\\"?\"\n },\n {\n \"34330\": \"What is her profession?\"\n },\n {\n \"34331\": \"For which company?\"\n },\n {\n \"34332\": \"Where did she go to school?\"\n },\n {\n \"34333\": \"Did she fit in?\"\n },\n {\n \"34334\": \"What was the perceived beauty norm at her school?\"\n },\n {\n \"34335\": \"Did Whitney Houston help build her self esteem?\"\n },\n {\n \"34336\": \"In what decades did Houston have the highest success?\"\n },\n {\n \"34337\": \"Who described the fallen icons as legends?\"\n },\n {\n \"34338\": \"How old is he?\"\n },\n {\n \"34339\": \"Was he shocked to hear the news surrounding Houston's death?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34320\",\n \"answer\": \"Mary Christine Brockert (Teena Marie)\"\n },\n {\n \"question_id\": \"34321\",\n \"answer\": \"2010\"\n },\n {\n \"question_id\": \"34322\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"34323\",\n \"answer\": \"nearly three years\"\n },\n {\n \"question_id\": \"34324\",\n \"answer\": \"Heavy D\"\n },\n {\n \"question_id\": \"34325\",\n \"answer\": \"Nick Ashford\"\n },\n {\n \"question_id\": \"34326\",\n \"answer\": \"Ashford and Simpson\"\n },\n {\n \"question_id\": \"34327\",\n \"answer\": \"tributes from younger pop stars\"\n },\n {\n \"question_id\": \"34328\",\n \"answer\": \"Gen X black girls\"\n },\n {\n \"question_id\": \"34329\",\n \"answer\": \"Tessa Jackson\"\n },\n {\n \"question_id\": \"34330\",\n \"answer\": \"a reporter\"\n },\n {\n \"question_id\": \"34331\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"34332\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"34333\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34334\",\n \"answer\": \"blonde and blue-eyed\"\n },\n {\n \"question_id\": \"34335\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"34336\",\n \"answer\": \"1980s and 90s\"\n },\n {\n \"question_id\": \"34337\",\n \"answer\": \"Shaun Jones\"\n },\n {\n \"question_id\": \"34338\",\n \"answer\": \"47\"\n },\n {\n \"question_id\": \"34339\",\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 Southwestern United States (also known as the American Southwest) is the informal name for a region of the western United States. Definitions vary a great deal and have never been standardized--and many have been proposed. For example, it might include the stretch from east of Los Angeles to El Paso, and from the Mexican border to south of Denver. The population for that particular definition area is around 11 million people, with over half that in the state of Arizona. The largest metropolitan areas are Phoenix (with a population over 4 million people) and Las Vegas (about 2 million); other significant population centers in the Southwest are Albuquerque, El Paso, and Tucson. \n\nMost of the area was part of the Viceroyalty of New Spain in the Spanish Empire before becoming part of Mexico. European settlement was almost non-existent outside New Mexico in 1848, when it became part of the United States through the Treaty of Guadalupe Hidalgo; far southern Arizona was added in the later Gadsden Purchase. \n\nThe geography of the region is mainly made up by four features: the Mojave, Sonoran, and Chihuahuan Deserts, and the Colorado Plateau; although there are other geographical features as well, such as a portion of the Great Basin Desert. The deserts dominate the southern and western reaches of the area, while the plateau (which is largely made up of high desert) is the main feature north of the Mogollon Rim. The two major rivers of the region are the Colorado River, running in the northern and western areas, and the Rio Grande, running in the east, north to south.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16008\": \"Is American Southwest the full name?\"\n },\n {\n \"16009\": \"What is the more formal name of the region?\"\n },\n {\n \"16010\": \"Does it cover a definite area?\"\n },\n {\n \"16011\": \"Is Arizona generally included?\"\n },\n {\n \"16012\": \"What is the largest city area in the region?\"\n },\n {\n \"16013\": \"How many people are included there?\"\n },\n {\n \"16014\": \"Are there deserts in the region?\"\n },\n {\n \"16015\": \"What is one of the deserts?\"\n },\n {\n \"16016\": \"Are there any waterways in the region?\"\n },\n {\n \"16017\": \"Any big rivers?\"\n },\n {\n \"16018\": \"How many?\"\n },\n {\n \"16019\": \"Which ones?\"\n },\n {\n \"16020\": \"When did most of the region become part of the US?\"\n },\n {\n \"16021\": \"What allowed this land to be part of the country?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"16008\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"16009\",\n \"answer\": \"The Southwestern United States.\"\n },\n {\n \"question_id\": \"16010\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"16011\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"16012\",\n \"answer\": \"Phoenix\"\n },\n {\n \"question_id\": \"16013\",\n \"answer\": \"over 4 million\"\n },\n {\n \"question_id\": \"16014\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"16015\",\n \"answer\": \"Mojave\"\n },\n {\n \"question_id\": \"16016\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"16017\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"16018\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"16019\",\n \"answer\": \"Colorado River and Rio Grande\"\n },\n {\n \"question_id\": \"16020\",\n \"answer\": \"1848\"\n },\n {\n \"question_id\": \"16021\",\n \"answer\": \"Treaty of Guadalupe Hidalgo\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A few years ago, an Englishman called Roy Jones went on holiday to a small seaside town in the west of England. He was swimming in the sea one day when, as he opened his mouth, his false teeth fell out and floated away. The following year, Mr. Jones returned to the same town. As he was having dinner in a local cafe one evening, he mentioned the story of his lost teeth to the manager. The manager looked surprised. He explained that he had found a set of false teeth on the beach last month. Then he asked Roy Jones if he wanted to try them on. \"OK\", said Mr. Jones. \"I suppose it won't do any harm.\" When the manager brought him the teeth, Mr. Jones put them into his mouth, and laughed and laughed. They were his. In 1987, an American couple called Jane and Robert Bentley went for a picnic on a beach in California. When they returned home, Mrs. Bentley realized that she had lost her wedding ring. It wasn't a lot of money but it was valuable to Jane Bentley. The Bentleys drove straight back to the beach, and searched for the ring for three hours, but could not find it. A few months later, Mr. Bentley went fishing off the same beach. As he pulled a large crab out of the sea, he noticed that there was something attached to one of its claws. It was his wife's wedding ring! At the end of the 19thcentury, a young woman called Rose Harcourt was on her honeymoon in Barmouth, North Wales, when she lost a gold bracelet her husband had given her as a wedding gift. Feeling very upset, she went straight to the police stations and asked if anyone had found her bracelet. Unfortunately, no one had. Twenty-five years later, the Harcourts returned to Barmouth _ They were sitting on the beach one day when Mrs. Harcourt noticed something gold in the sand by the edge of the sea. She walked down to see what it was, and discovered her gold bracelet that had been missing for 25 years.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54415\": \"What did Roy Jones lose?\"\n },\n {\n \"54416\": \"Whrer?\"\n },\n {\n \"54417\": \"Did he find it?\"\n },\n {\n \"54418\": \"Who found it?\"\n },\n {\n \"54419\": \"What did Jane and Robert Bentley lose?\"\n },\n {\n \"54420\": \"In what year?\"\n },\n {\n \"54421\": \"Was it expensive?\"\n },\n {\n \"54422\": \"Was it recovered?\"\n },\n {\n \"54423\": \"When?\"\n },\n {\n \"54424\": \"Where?\"\n },\n {\n \"54425\": \"Who else misplaced jewelry?\"\n },\n {\n \"54426\": \"What was it?\"\n },\n {\n \"54427\": \"Was she happy about it?\"\n },\n {\n \"54428\": \"What did she do?\"\n },\n {\n \"54429\": \"Any luck there?\"\n },\n {\n \"54430\": \"Did it ever show up?\"\n },\n {\n \"54431\": \"When?\"\n },\n {\n \"54432\": \"Where?\"\n },\n {\n \"54433\": \"Who recovered it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54415\",\n \"answer\": \"false teeth\"\n },\n {\n \"question_id\": \"54416\",\n \"answer\": \"in the sea\"\n },\n {\n \"question_id\": \"54417\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54418\",\n \"answer\": \"manager\"\n },\n {\n \"question_id\": \"54419\",\n \"answer\": \"wedding ring\"\n },\n {\n \"question_id\": \"54420\",\n \"answer\": \"1987\"\n },\n {\n \"question_id\": \"54421\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54422\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54423\",\n \"answer\": \"A few months later\"\n },\n {\n \"question_id\": \"54424\",\n \"answer\": \"same beach\"\n },\n {\n \"question_id\": \"54425\",\n \"answer\": \"Rose Harcourt\"\n },\n {\n \"question_id\": \"54426\",\n \"answer\": \"gold bracelet\"\n },\n {\n \"question_id\": \"54427\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54428\",\n \"answer\": \"went to police\"\n },\n {\n \"question_id\": \"54429\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54430\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54431\",\n \"answer\": \"Twenty-five years later\"\n },\n {\n \"question_id\": \"54432\",\n \"answer\": \"edge of sea\"\n },\n {\n \"question_id\": \"54433\",\n \"answer\": \"Mrs. Harcourt\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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)Everybody on the planet knows that Gene Roddenberry created Mr. Spock, the laconic, imperturbable extra-terrestrial First Officer for the Starship Enterprise. \n\nBut Mr. Spock doesn't belong to Roddenberry, even though he is the grand exalted progenitor of everything that was, is, and forever will be \"Star Trek.\" \n\nMr. Spock belongs to Leonard Nimoy, who died Friday at age 83. And though he doesn't take Spock with him, he and Spock remain inseparable. \n\nZachary Quinto, who plays Spock in the re-booted feature film incarnation of \"Trek,\" is excellent in the role. (Nimoy himself said so.) Quinto must know that however much he brings to the role, he will only be its custodian. Spock is Nimoy. Nimoy is Spock. It is, as Spock himself would intone, only logical. \n\nNimoy often insisted otherwise, especially as the show went from canceled outcast to global phenomenon. He even wrote a book with the title, \"I Am Not Spock\" (1977) that was bought by millions of readers who didn't buy the title for a nanosecond. By 1995, he cried \"uncle\" by publishing a followup autobiography, \"I Am Spock.\" In the years before and since, he carried his character's legacy with the grace and class he exhibited in other areas of his life. \n\nAnd the life of Leonard Nimoy, irrespective of Spock, was a rich and varied feast. Those two \"Spock\" books weren't the only things he'd published. A couple of books of poetry are also credited to him as were a collection of photographs celebrating what he termed \"the feminine aspect of God.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55219\": \"Who created Mr Spock?\"\n },\n {\n \"55220\": \"Who portrays Mr Spock?\"\n },\n {\n \"55221\": \"On what show?\"\n },\n {\n \"55222\": \"When did Nimoy pass on?\"\n },\n {\n \"55223\": \"How old was he?\"\n },\n {\n \"55224\": \"What was the name of his first book?\"\n },\n {\n \"55225\": \"When did it come out?\"\n },\n {\n \"55226\": \"Did he have a follow up book?\"\n },\n {\n \"55227\": \"What was it called?\"\n },\n {\n \"55228\": \"When did that come out?\"\n },\n {\n \"55229\": \"Did he pubish other books?\"\n },\n {\n \"55230\": \"what were they about?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55219\",\n \"answer\": \"Gene Roddenberry\"\n },\n {\n \"question_id\": \"55220\",\n \"answer\": \"Leonard Nimoy\"\n },\n {\n \"question_id\": \"55221\",\n \"answer\": \"Star Trek\"\n },\n {\n \"question_id\": \"55222\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"55223\",\n \"answer\": \"83\"\n },\n {\n \"question_id\": \"55224\",\n \"answer\": \"\\\"I Am Not Spock\\\"\"\n },\n {\n \"question_id\": \"55225\",\n \"answer\": \"1977\"\n },\n {\n \"question_id\": \"55226\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55227\",\n \"answer\": \"\\\"I Am Spock.\\\"\"\n },\n {\n \"question_id\": \"55228\",\n \"answer\": \"1995\"\n },\n {\n \"question_id\": \"55229\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55230\",\n \"answer\": \"books of poetry\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n University of California Press, otherwise known as UC Press, is a publishing house associated with the University of California that engages in academic publishing. It was founded in 1893 to publish books and papers for the faculty of the University of California, established 25 years earlier in 1868. Its headquarters are located in Oakland, California. \n\nThe Press at a glance: The University of California Press currently publishes in the following general subject areas: anthropology, art, ancient world/classical studies, California and the West, cinema & media studies, criminology, environmental studies, food and wine, history, music, politics, psychology, public health and medicine, religion, and sociology. \n\nThe Press commissioned as its corporate typeface University of California Old Style from type designer Frederic Goudy from 1936-8, although it no longer always uses the design. \n\nCollabra \n\nCollabra is University of California Press's open access journal program. The Collabra program currently publishes two open access journals, \"Collabra: Psychology \"and\" Elementa: Science of the Anthropocene\", with plans for continued expansion and journal acquisition. \n\nLuminos \n\nLuminos is University of California Press’s open access response to the challenged monograph landscape. With the same high standards for selection, peer review, production, and marketing as its traditional book publishing program, Luminos is a transformative model, built as a partnership where costs and benefits are shared.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59643\": \"What engages in academic publishing?\"\n },\n {\n \"59644\": \"What is it known as\"\n },\n {\n \"59645\": \"What is it?\"\n },\n {\n \"59646\": \"Associated with who?\"\n },\n {\n \"59647\": \"What did it commission?\"\n },\n {\n \"59648\": \"Who designed it?\"\n },\n {\n \"59649\": \"When?\"\n },\n {\n \"59650\": \"Where are the headquarters of UC press located?\"\n },\n {\n \"59651\": \"When was it founded?\"\n },\n {\n \"59652\": \"To do what?\"\n },\n {\n \"59653\": \"For who?\"\n },\n {\n \"59654\": \"When was the University of California established?\"\n },\n {\n \"59655\": \"How long ago was that compared to the UC press\"\n },\n {\n \"59656\": \"What is an example of a subject that the UC press deals with?\"\n },\n {\n \"59657\": \"What's another one?\"\n },\n {\n \"59658\": \"Any others?\"\n },\n {\n \"59659\": \"How many in total\"\n },\n {\n \"59660\": \"What is Collabra?\"\n },\n {\n \"59661\": \"How many journals does it publish?\"\n },\n {\n \"59662\": \"What is Luminos\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59643\",\n \"answer\": \"University of California Press\"\n },\n {\n \"question_id\": \"59644\",\n \"answer\": \"UC Press\"\n },\n {\n \"question_id\": \"59645\",\n \"answer\": \"a publishing house\"\n },\n {\n \"question_id\": \"59646\",\n \"answer\": \"the University of California\"\n },\n {\n \"question_id\": \"59647\",\n \"answer\": \"its corporate typeface University of California Old Style\"\n },\n {\n \"question_id\": \"59648\",\n \"answer\": \"Frederic Goudy\"\n },\n {\n \"question_id\": \"59649\",\n \"answer\": \"1936-8\"\n },\n {\n \"question_id\": \"59650\",\n \"answer\": \"Oakland, California\"\n },\n {\n \"question_id\": \"59651\",\n \"answer\": \"1893\"\n },\n {\n \"question_id\": \"59652\",\n \"answer\": \"to publish books and papers\"\n },\n {\n \"question_id\": \"59653\",\n \"answer\": \"for the faculty of the University of California\"\n },\n {\n \"question_id\": \"59654\",\n \"answer\": \"1868\"\n },\n {\n \"question_id\": \"59655\",\n \"answer\": \"25 years before UC Press\"\n },\n {\n \"question_id\": \"59656\",\n \"answer\": \"anthropology\"\n },\n {\n \"question_id\": \"59657\",\n \"answer\": \"art\"\n },\n {\n \"question_id\": \"59658\",\n \"answer\": \"yes, several\"\n },\n {\n \"question_id\": \"59659\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"59660\",\n \"answer\": \"their open access journal program\"\n },\n {\n \"question_id\": \"59661\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"59662\",\n \"answer\": \"their open access response to the challenged monograph landscape\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE DARKEST HOUR BEFORE THE DAWN. \n\nMany months passed away, during which Andrew Black, clean-shaved, brushed-up, and converted into a very respectable, ordinary-looking artisan, carried on the trade of a turner, in an underground cellar in one of the most populous parts of the Cowgate. Lost in the crowd was his idea of security. And he was not far wrong. His cellar had a way of escape through a back door. Its grated window, under the level of the street, admitted light to his whirling lathe, but, aided by dirt on the glass, it baffled the gaze of the curious. \n\nHis evenings were spent in Candlemaker Row, where, seated by the window with his mother, Mrs. Wallace, and the two girls, he smoked his pipe and commented on Scotland's woes while gazing across the tombs at the glow in the western sky. Ramblin' Peter--no longer a beardless boy, but a fairly well-grown and good-looking youth--was a constant visitor at the Row. Aggie Wilson had taught him the use of his tongue, but Peter was not the man to use it in idle flirtation--nor Aggie the girl to listen if he had done so. They had both seen too much of the stern side of life to condescend on trifling. \n\nOnce, by a superhuman effort, and with an alarming flush of the countenance, Peter succeeded in stammering a declaration of his sentiments. Aggie, with flaming cheeks and downcast eyes, accepted the declaration, and the matter was settled; that was all, for the subject had rushed upon both of them, as it were, unexpectedly, and as they were in the public street at the time and the hour was noon, further demonstration might have been awkward. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31828\": \"was he completely wrong?\"\n },\n {\n \"31829\": \"who was clean shaved?\"\n },\n {\n \"31830\": \"what was his occupation\"\n },\n {\n \"31831\": \"where?\"\n },\n {\n \"31832\": \"where was his cellar?\"\n },\n {\n \"31833\": \"did he have an escape in his cellar?\"\n },\n {\n \"31834\": \"what did he do at night?\"\n },\n {\n \"31835\": \"was the glass clean?\"\n },\n {\n \"31836\": \"what was on it?\"\n },\n {\n \"31837\": \"who was at the window?\"\n },\n {\n \"31838\": \"what is his mother name?\"\n },\n {\n \"31839\": \"who else was at the window?\"\n },\n {\n \"31840\": \"did peter have a beard?\"\n },\n {\n \"31841\": \"was he a young boy?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31828\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"31829\",\n \"answer\": \"Andrew Black\"\n },\n {\n \"question_id\": \"31830\",\n \"answer\": \"artisan\"\n },\n {\n \"question_id\": \"31831\",\n \"answer\": \"Cowgate.\"\n },\n {\n \"question_id\": \"31832\",\n \"answer\": \"underground\"\n },\n {\n \"question_id\": \"31833\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"31834\",\n \"answer\": \"smoked his pipe\"\n },\n {\n \"question_id\": \"31835\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"31836\",\n \"answer\": \"dirt\"\n },\n {\n \"question_id\": \"31837\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"31838\",\n \"answer\": \"Mrs. Wallace\"\n },\n {\n \"question_id\": \"31839\",\n \"answer\": \"two girls\"\n },\n {\n \"question_id\": \"31840\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"31841\",\n \"answer\": \"a youth\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 was three o'clock. A man was walking down a high street in the north of England. He was wearing a dark suit and carrying a suitcase. His name was Terry and he and he had lived away from home for twenty years. In fact he was in prison , Terry was feeling totally depressed because everything in his hometown had changed. The park where he used to play was now a car park. The house where he was born had dis appeared and in its place, ironically , was a bank. Terry wanted to have a cup of coffee in the old small restaurant where he used to go with his friend after school, but it had become a fast food restaurant. He entered it, sat down, and asked for a cup of coffee. Then he felt sadder when he thought of what he had seen. While paying for the coffee he found an old ticket in his wallet. It was for a pair of shoes he had taken to be repaired the day before the bank robbery 20 years ago. The shoe repairer was an old man then, so Terry was sure that he must be dead. But when he turned the cor ner of the steet, he couldn't believe his eyes. The shop was still there! And it was the same shoe repairer! He looked about a hundred years old. Terry was so happy! Terry told him that he had lived in Australia for the past twenty years and that he forgot to pick up the shoes before he left England. The shoe repairer disappeared into the back of the shop. After ten minutes he came back. \"Were they dark brown, Italian shoes, size 42?\"he asked slowly. \"Yes!nsaid Terry, excitedly. \"I haven't repaired them,\"the shoe repairer said slowly. \"You can take them tomorrow afternoon. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12759\": \"Isn't it ironic, don't you think? Maybe a little too ironic?\"\n },\n {\n \"12760\": \"Had the shoe repairer fixed Terry's shoes?\"\n },\n {\n \"12761\": \"How many years had it been since he'd left them there?\"\n },\n {\n \"12762\": \"How old did the shoe repairer look to be now?\"\n },\n {\n \"12763\": \"Where did he disappear into?\"\n },\n {\n \"12764\": \"How long was he back there?\"\n },\n {\n \"12765\": \"What color were the shoes?\"\n },\n {\n \"12766\": \"What style?\"\n },\n {\n \"12767\": \"Were they dark or light brown?\"\n },\n {\n \"12768\": \"What size?\"\n },\n {\n \"12769\": \"Where did Terry say he'd been living?\"\n },\n {\n \"12770\": \"When did the shoe repairer tell him he could pick them up?\"\n },\n {\n \"12771\": \"What time does this story take place?\"\n },\n {\n \"12772\": \"Where does it take place?\"\n },\n {\n \"12773\": \"Was Terry carrying anything with him?\"\n },\n {\n \"12774\": \"What?\"\n },\n {\n \"12775\": \"Where had he lived the last 20 years?\"\n },\n {\n \"12776\": \"What was in place of his house?\"\n },\n {\n \"12777\": \"What had the old small restaurant he used to eat with a friend after school become?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12759\",\n \"answer\": \"sure\"\n },\n {\n \"question_id\": \"12760\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"12761\",\n \"answer\": \"20 years ago\"\n },\n {\n \"question_id\": \"12762\",\n \"answer\": \"a hundred years old\"\n },\n {\n \"question_id\": \"12763\",\n \"answer\": \"the back of the shop\"\n },\n {\n \"question_id\": \"12764\",\n \"answer\": \"ten minutes\"\n },\n {\n \"question_id\": \"12765\",\n \"answer\": \"brown,\"\n },\n {\n \"question_id\": \"12766\",\n \"answer\": \"Italian\"\n },\n {\n \"question_id\": \"12767\",\n \"answer\": \"dark\"\n },\n {\n \"question_id\": \"12768\",\n \"answer\": \"42\"\n },\n {\n \"question_id\": \"12769\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"12770\",\n \"answer\": \"tomorrow afternoon\"\n },\n {\n \"question_id\": \"12771\",\n \"answer\": \"three o'clock.\"\n },\n {\n \"question_id\": \"12772\",\n \"answer\": \"England.\"\n },\n {\n \"question_id\": \"12773\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12774\",\n \"answer\": \"a suitcase\"\n },\n {\n \"question_id\": \"12775\",\n \"answer\": \"in prison\"\n },\n {\n \"question_id\": \"12776\",\n \"answer\": \"a car park.\"\n },\n {\n \"question_id\": \"12777\",\n \"answer\": \"a fast food restaurant\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter 4: Among The Islands. \n\n\"Now, let us go through our calculations again,\" the captain said when they entered his cabin. \n\n\"How long will you be, Captain?\" the first mate asked. \n\n\"Half an hour, Standing.\" \n\n\"Then I will come again or, if you want me before that, send for me,\" and the first mate went out on deck again, for though well skilled to handle a ship in all weathers, and as brave and hardy a seaman as sailed out of Plymouth, James Standing could neither read nor write; and though in a rough sort of way he could reckon the course a ship should lie, and make allowance for leeway and currents and baffling winds, and could bring a ship into any port in England or the Low Countries, he was of no use in a matter of this kind. \n\nPengarvan was a good scholar, and Reuben had taught him what he knew of navigation, and always made him keep a log from the time when he first became a mate; at first comparing their calculations every day, and then but once a week; arguing over the allowances each had made for tide and leeway; and sometimes finding to his surprise, on arriving in port, that Pengarvan's calculations were even nearer to the truth than his own. \n\nThis was a great satisfaction to him, for he felt that, if aught should happen to himself when on a voyage, Pengarvan could be trusted to bring the Swan home, as safely and surely as he could himself. Roger had, for the last two years, been going through the same schooling; but as yet he was very far from attaining accuracy, being unwilling to make sufficient allowance for the great leeway that a vessel, in those days, made with the wind abeam. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48316\": \"Who begins the dialogue in the cabin?\"\n },\n {\n \"48317\": \"Who is he talking to?\"\n },\n {\n \"48318\": \"What does the captain want to double-check?\"\n },\n {\n \"48319\": \"Does the first mate ask him the time something will take?\"\n },\n {\n \"48320\": \"How much time will elapse?\"\n },\n {\n \"48321\": \"Will it involve sitting?\"\n },\n {\n \"48322\": \"Does someone offer to return?\"\n },\n {\n \"48323\": \"Where did the first officer depart to?\"\n },\n {\n \"48324\": \"Was he an inept sailor?\"\n },\n {\n \"48325\": \"Was he courageous?\"\n },\n {\n \"48326\": \"Did he possess good endurance?\"\n },\n {\n \"48327\": \"What skills was he lacking?\"\n },\n {\n \"48328\": \"What was his name?\"\n },\n {\n \"48329\": \"Who had good scholastic ability?\"\n },\n {\n \"48330\": \"Did he know anything about navigating?\"\n },\n {\n \"48331\": \"Who had instructed him?\"\n },\n {\n \"48332\": \"What did he record?\"\n },\n {\n \"48333\": \"Did Reuben feel his work was inaccurate?\"\n },\n {\n \"48334\": \"How did he feel about this?\"\n },\n {\n \"48335\": \"What did he trust Pengarvan to do as well as he could?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48316\",\n \"answer\": \"the captain\"\n },\n {\n \"question_id\": \"48317\",\n \"answer\": \"the first mate\"\n },\n {\n \"question_id\": \"48318\",\n \"answer\": \"calculations\"\n },\n {\n \"question_id\": \"48319\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"48320\",\n \"answer\": \"Half an hour.\"\n },\n {\n \"question_id\": \"48321\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"48322\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"48323\",\n \"answer\": \"out on deck\"\n },\n {\n \"question_id\": \"48324\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"48325\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"48326\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"48327\",\n \"answer\": \"He could neither read nor write.\"\n },\n {\n \"question_id\": \"48328\",\n \"answer\": \"James Standing\"\n },\n {\n \"question_id\": \"48329\",\n \"answer\": \"Pengarvan\"\n },\n {\n \"question_id\": \"48330\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"48331\",\n \"answer\": \"Reuben\"\n },\n {\n \"question_id\": \"48332\",\n \"answer\": \"a log\"\n },\n {\n \"question_id\": \"48333\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"48334\",\n \"answer\": \"great satisfaction\"\n },\n {\n \"question_id\": \"48335\",\n \"answer\": \"bring the Swan 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 MADRID, Spain (CNN) -- A Spanish court says it is investigating an alleged \"crime against humanity\" involving Israel for its 2002 bombing in Gaza that killed 15 people and wounded 150 others. \n\nThe case names former Israeli Defense Minister Benjamin Ben-Eliezer and six other Israelis. \n\nThe case, brought by Palestinian relatives of some of the deceased, names former Israeli Defense Minister Benjamin Ben-Eliezer and six other Israeli top military commanders and security officials at the time. \n\nThe National Court said it has jurisdiction to investigate the case, and that initial evidence suggests the bombing \"should be considered a crime against humanity,\" according to a copy of the court order viewed by CNN on Thursday. \n\nEdwin Yabo, spokesman for the Israeli Embassy in Madrid, said Israel would not comment until it receives formal notification of the case. He said he learned about the court's decision through a phone call from CNN. \n\nThe National Court previously has taken on other high-profile human rights cases outside of Spain, such as charges against former Chilean dictator Augusto Pinochet and more recently against former military leaders of El Salvador. \n\nThe court argues that if a potential human rights crime is not being investigated by the country in question, Spain can proceed, under international law. \n\nThe Israeli case involves the July 22, 2002 bombing in Gaza of the home of a suspected Hamas commander, Salah Shehadeh, the seven-page court order said. \n\nThe blast killed him, but also members of a Palestinian family, whose last name is Mattar. They lived next door. Some of their relatives brought the suit to the court last August. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31379\": \"Has the National Court ever heard cases that were not from Spain?\"\n },\n {\n \"31380\": \"What kind?\"\n },\n {\n \"31381\": \"Who were the cases against?\"\n },\n {\n \"31382\": \"Who was he?\"\n },\n {\n \"31383\": \"Anyone else?\"\n },\n {\n \"31384\": \"who\"\n },\n {\n \"31385\": \"What gives them the right to hear cases outside their country?\"\n },\n {\n \"31386\": \"When can they take over a case?\"\n },\n {\n \"31387\": \"Whose crime are they looking into now?\"\n },\n {\n \"31388\": \"Where are they from?\"\n },\n {\n \"31389\": \"What was Ben-Eliezer's job in Israel?\"\n },\n {\n \"31390\": \"What was their crime?\"\n },\n {\n \"31391\": \"Where?\"\n },\n {\n \"31392\": \"When?\"\n },\n {\n \"31393\": \"Was anyone hurt?\"\n },\n {\n \"31394\": \"How many?\"\n },\n {\n \"31395\": \"Was anyone killed?\"\n },\n {\n \"31396\": \"How many?\"\n },\n {\n \"31397\": \"What did they bomb?\"\n },\n {\n \"31398\": \"Is he among the dead?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31379\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31380\",\n \"answer\": \"human rights cases\"\n },\n {\n \"question_id\": \"31381\",\n \"answer\": \"Augusto Pinochet\"\n },\n {\n \"question_id\": \"31382\",\n \"answer\": \"a Chilean dictator\"\n },\n {\n \"question_id\": \"31383\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31384\",\n \"answer\": \"former military leaders of El Salvador\"\n },\n {\n \"question_id\": \"31385\",\n \"answer\": \"international law\"\n },\n {\n \"question_id\": \"31386\",\n \"answer\": \"if it's not being investigated by that country\"\n },\n {\n \"question_id\": \"31387\",\n \"answer\": \"Benjamin Ben-Eliezer and six others.\"\n },\n {\n \"question_id\": \"31388\",\n \"answer\": \"Israel\"\n },\n {\n \"question_id\": \"31389\",\n \"answer\": \"Defense Minister\"\n },\n {\n \"question_id\": \"31390\",\n \"answer\": \"a bombing\"\n },\n {\n \"question_id\": \"31391\",\n \"answer\": \"Gaza\"\n },\n {\n \"question_id\": \"31392\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"31393\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31394\",\n \"answer\": \"150\"\n },\n {\n \"question_id\": \"31395\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31396\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"31397\",\n \"answer\": \"Salah Shehadeh's home\"\n },\n {\n \"question_id\": \"31398\",\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 Adam and his mom, Deborah, ran across the front lawn of their house. The grass was very tall, the lawn had not been mowed. After removing the groceries from the car, Adam had wanted to play in the yard. Deborah did not. She was sad that her new boss at work, Pierre, did not seem to like her. She ran along with Adam, but he could tell that Deborah was upset. Adam asked his mom what was bothering her. Deborah explained that she felt like her new boss was not nice to her. Adam sat down in the grass and asked Deborah to sit down next to him. He told her that he had a bully in his class named Mike. Adam said that all he had to do was ignore the bully and he would feel better. Then Adam asked why his mom could not ignore her new boss. Deborah explained to Adam that her new boss could fire her. Deborah frowned, took off her pink shoes, and walked inside the house to make rice for dinner.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2407\": \"Who was on the lawn?\"\n },\n {\n \"2408\": \"are they related?\"\n },\n {\n \"2409\": \"how?\"\n },\n {\n \"2410\": \"Were they doing anything?\"\n },\n {\n \"2411\": \"why?\"\n },\n {\n \"2412\": \"Were they both having fun?\"\n },\n {\n \"2413\": \"Who wasn't having fun?\"\n },\n {\n \"2414\": \"why not?\"\n },\n {\n \"2415\": \"Did her son notice?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2407\",\n \"answer\": \"Adam and Deborah\"\n },\n {\n \"question_id\": \"2408\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2409\",\n \"answer\": \"Son and mother\"\n },\n {\n \"question_id\": \"2410\",\n \"answer\": \"Running\"\n },\n {\n \"question_id\": \"2411\",\n \"answer\": \"To play in yard.\"\n },\n {\n \"question_id\": \"2412\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"2413\",\n \"answer\": \"Deborah\"\n },\n {\n \"question_id\": \"2414\",\n \"answer\": \"Upset about her new boss being mean.\"\n },\n {\n \"question_id\": \"2415\",\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 Danny lived for football. He played it, watched it, talked and dreamed about it. His favourite football star was Keith Connolly - Lowgate's captain. One day in January, after school, Danny hurried through his homework. He wanted to watch TV. Keith Connolly was doing an interview on the local news programme. Danny hoped that the television wouldn't go fuzzyor lose the sound when Keith Connolly was talking. It was an old set, and it did things like that. It wasn't clear enough, but at last Keith Connolly's smiling face appeared on the screen. \"What I really like about playing for Lowgate,\" he said, \"is the fans. They're the best. They always support us. It's wonderful running on to the playground to all that cheering and chanting.\" Danny wished he could be in that crowd at the Lowgate ground, but the price of a single ticket was far above anything he could afford. There was no chance of the whole family going, or even just Danny and his little brother. \"You won again on Saturday,\" said the reporter. \"Did the team go out to celebrate?\" \"We went for a meal together,\" said Keith Connolly, \"but I have to be careful about what I eat, because I want to stay fit. I love doughnuts very much ...\" Then the sound went fuzzy, and Danny jumped up and _ the top of the set heavily to make it come on again. He hadn't missed much. But he had missed something important. Keith Connolly had been saying \"... but I'm not allowed to eat doughnuts.\" Danny hadn't heard that. All he heard was that Keith Connolly loved doughnuts. And at the end of Danny's street was a bakery*. It sold the biggest and the best doughnuts! When Danny went to bed, he lay wide-awake, making a plan.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7293\": \"What sports Danny liked?\"\n },\n {\n \"7294\": \"What was his idol?\"\n },\n {\n \"7295\": \"What Keith liked to eat?\"\n },\n {\n \"7296\": \"What bakery sold the best doughnuts?\"\n },\n {\n \"7297\": \"What team Keith captained?\"\n },\n {\n \"7298\": \"What Danny was doing one day after school?\"\n },\n {\n \"7299\": \"Why?\"\n },\n {\n \"7300\": \"What program he wanted to watch?\"\n },\n {\n \"7301\": \"Who would be on that program?\"\n },\n {\n \"7302\": \"Did Danny have a new TV?\"\n },\n {\n \"7303\": \"What was he fearing about that?\"\n },\n {\n \"7304\": \"Did it do that?\"\n },\n {\n \"7305\": \"What the star liked about playing his team?\"\n },\n {\n \"7306\": \"Did he think they were the best?\"\n },\n {\n \"7307\": \"What Danny wished hearing all these?\"\n },\n {\n \"7308\": \"But can he afford it?\"\n },\n {\n \"7309\": \"Why?\"\n },\n {\n \"7310\": \"Did the team celebrate after win?\"\n },\n {\n \"7311\": \"Did they eat together?\"\n },\n {\n \"7312\": \"Why the star didn't want to eat donuts?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7293\",\n \"answer\": \"football\"\n },\n {\n \"question_id\": \"7294\",\n \"answer\": \"Keith Connolly\"\n },\n {\n \"question_id\": \"7295\",\n \"answer\": \"doughnuts\"\n },\n {\n \"question_id\": \"7296\",\n \"answer\": \"a bakery at the end of Danny's street\"\n },\n {\n \"question_id\": \"7297\",\n \"answer\": \"Lowgate\"\n },\n {\n \"question_id\": \"7298\",\n \"answer\": \"Danny hurrying through his homework\"\n },\n {\n \"question_id\": \"7299\",\n \"answer\": \"He wanted to watch TV\"\n },\n {\n \"question_id\": \"7300\",\n \"answer\": \"the local news program\"\n },\n {\n \"question_id\": \"7301\",\n \"answer\": \"Keith Connolly\"\n },\n {\n \"question_id\": \"7302\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7303\",\n \"answer\": \"that the television would go fuzzy or lose the sound when Keith Connolly was talking\"\n },\n {\n \"question_id\": \"7304\",\n \"answer\": \"the sound went fuzzy\"\n },\n {\n \"question_id\": \"7305\",\n \"answer\": \"the fans\"\n },\n {\n \"question_id\": \"7306\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7307\",\n \"answer\": \"that he could be in the crowd at the Lowgate ground\"\n },\n {\n \"question_id\": \"7308\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7309\",\n \"answer\": \"the price of a single ticket was far above anything he could afford\"\n },\n {\n \"question_id\": \"7310\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7311\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7312\",\n \"answer\": \"he wanted to stay fit\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter XXXVII \n\nSECOND JOURNEY OF THE DOMINIE TO THRUMS DURING THE TWENTY-FOUR HOURS. \n\nHere was a nauseous draught for me. Having finished my tale, I turned to Gavin for sympathy; and, behold, he had been listening for the cannon instead of to my final words. So, like an old woman at her hearth, we warm our hands at our sorrows and drop in faggots, and each thinks his own fire a sun, in presence of which all other fires should go out. I was soured to see Gavin prove this, and then I could have laughed without mirth, for had not my bitterness proved it too? \n\n\"And now,\" I said, rising, \"whether Margaret is to hold up her head henceforth lies no longer with me, but with you.\" \n\nIt was not to that he replied. \n\n\"You have suffered long, Mr. Ogilvy,\" he said. \"Father,\" he added, wringing my hand. I called him son; but it was only an exchange of musty words that we had found too late. A father is a poor estate to come into at two and twenty. \n\n\"I should have been told of this,\" he said. \n\n\"Your mother did right, sir,\" I answered slowly, but he shook his head. \n\n\"I think you have misjudged her,\" he said. \"Doubtless while my fa- -, while Adam Dishart lived, she could only think of you with pain; but after his death--\" \n\n\"After his death,\" I said quietly, \"I was still so horrible to her that she left Harvie without letting a soul know whither she was bound. She dreaded my following her.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81825\": \"Who is narrating?\"\n },\n {\n \"81826\": \"Who is he speaking with?\"\n },\n {\n \"81827\": \"What is their relationship?\"\n },\n {\n \"81828\": \"Were they close?\"\n },\n {\n \"81829\": \"When did they begin their relationship?\"\n },\n {\n \"81830\": \"Had Gavin's mother been honest with him?\"\n },\n {\n \"81831\": \"Who did Gavin presume his father to be?\"\n },\n {\n \"81832\": \"IS he still alive?\"\n },\n {\n \"81833\": \"Was Gavin told the truth before his death?\"\n },\n {\n \"81834\": \"Was Mr. Ogilvy kind to Gavin's mother?\"\n },\n {\n \"81835\": \"Was she delighted that he followed her?\"\n },\n {\n \"81836\": \"Did Gavin sympathize with him?\"\n },\n {\n \"81837\": \"Did Mr Ogilvy blame Gavin's mother for not telling him?\"\n },\n {\n \"81838\": \"Did Gavin?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81825\",\n \"answer\": \"Mr. Ogilvy\"\n },\n {\n \"question_id\": \"81826\",\n \"answer\": \"Gavin\"\n },\n {\n \"question_id\": \"81827\",\n \"answer\": \"Father and son\"\n },\n {\n \"question_id\": \"81828\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81829\",\n \"answer\": \"at two and twenty\"\n },\n {\n \"question_id\": \"81830\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81831\",\n \"answer\": \"Adam Dishart\"\n },\n {\n \"question_id\": \"81832\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81833\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81834\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"81835\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81836\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81837\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81838\",\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 Jon was very excited to go to the park. His dad always takes him to the park to play ball. He plays baseball with all his friends. When he got to the park Jon saw his friend Joe. Joe had brought his new puppy to the park. The puppy was very cute. It was a white dog with black spots. Jon really liked Joe's new dog, so did their other friends Janet and Jake. Jon jumped up and down and told his dad how cool the dog was. The next day when Jon's dad came home he had a brown box with him. He told Jon he had a surprise for him. Jon was so excited he couldn't even sit still. When Jon's dad put the box down it began to move. Jon was a little scared but also really excited to see what was in the box. When Jon pulled open the top of the box a very small white dog, covered in black spots, jumped out of the box and into Jon's lap and began to lick his face. Jon was so excited, he named the dog Jack.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38419\": \"Where did Jon go?\"\n },\n {\n \"38420\": \"What does he play?\"\n },\n {\n \"38421\": \"Who goes with him to the park?\"\n },\n {\n \"38422\": \"Who has the pet?\"\n },\n {\n \"38423\": \"Are Jon and Joe friends?\"\n },\n {\n \"38424\": \"Is the pet new?\"\n },\n {\n \"38425\": \"How many other friends does Jon have?\"\n },\n {\n \"38426\": \"Who are the two friends who also enjoyed the pet?\"\n },\n {\n \"38427\": \"Did Jon get a pet?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38419\",\n \"answer\": \"the park\"\n },\n {\n \"question_id\": \"38420\",\n \"answer\": \"baseball\"\n },\n {\n \"question_id\": \"38421\",\n \"answer\": \"His dad\"\n },\n {\n \"question_id\": \"38422\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"38423\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"38424\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"38425\",\n \"answer\": \"At least 3\"\n },\n {\n \"question_id\": \"38426\",\n \"answer\": \"Janet and Jake\"\n },\n {\n \"question_id\": \"38427\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It's been more than three weeks since militants from the dreaded Boko Haram terrorist group dragged 276 girls out of their beds at a boarding school in northern Nigeria, and still no one knows where the girls are. International assistance has begun to flow into Nigeria, whose president has vowed to end the terror threat plaguing his country. \n\nHere's what you need to know to get caught up: \n\nWhere are the girls? \n\nIt's anyone's guess. Boko Haram's leader, Abubakar Shekau, said in a video that he was going to sell them into slavery, but it's unknown whether he has. Pentagon spokesman U.S. Navy Rear Adm. John Kirby and other officials have said they believe the girls may have been separated into smaller groups, making the task of finding them inordinately more difficult. Gordon Brown, a former UK prime minister and the U.N.'s special envoy for global education, speculated that the girls may have been moved into neighboring countries. \"The search must be in Niger, Cameroon and Chad, to see if we can find information,\" he said. \n\nWhat's being done to find them? \n\nNigeria hasn't given a lot of information about its efforts other than to say that its soldiers have been out in the field, looking for the girls. Nigerian police offered a $310,000 reward, but there's no evidence that has turned up any leads. The United States and Britain have sent advisers to help the Nigerian government find the girls, stage rescue missions and help in the larger fight to defeat Boko Haram. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45995\": \"When did Boko Haram kidnap the girls?\"\n },\n {\n \"45996\": \"Where are they?\"\n },\n {\n \"45997\": \"Who leads the group?\"\n },\n {\n \"45998\": \"Who is looking for them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45995\",\n \"answer\": \"three weeks ago\"\n },\n {\n \"question_id\": \"45996\",\n \"answer\": \"no one knows\"\n },\n {\n \"question_id\": \"45997\",\n \"answer\": \"Abubakar Shekau\"\n },\n {\n \"question_id\": \"45998\",\n \"answer\": \"soldiers\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Thursday a new boy came into the classroom. He didn't have any uniform on. Just trousers, a jacket and a shirt. Tom could see that the boy wasn't quite comfortable. He had a plastic bag with exercise books, pens, pencils, rulers and erasers in it. The boy stood at the blackboard. Mrs. Brown talked to the boy, and then she said, \"Boys and girls, this is Peter. He is your new classmate. Peter is your age. I hope you'll get on well with each other. Peter will spend a lot of time together with you.\"Mrs Brown asked Peter to sit next to Tom at the desk near the window. The students had math after that and Tom could see that Peter was not bad at it. He counted well. It was not difficult for him at all. Then Mrs. Brown said,\" It is half past twelve. It's time to have lunch. \"Peter joined Tom and went to wash his hands. Then the boys sat down on the floor and started to open their lunch bags. Tom opened his bag and put his hand in it. He took out an old brown apple, some old cheese and some fish from dinner.\"Oh, no!\" cried Tom.\" This is rubbish. I have the wrong bag. I took the rubbish bag and left my lunch bag at home. I have only rubbish for lunch today.\" The other children laughed and laughed. Then Peter said,\" I have two eggs. Why don't you have one? I don't need two. And would you like some bread?\" Tom smiled,\" Thanks. It's very kind of you.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34329\": \"Who was the new student?\"\n },\n {\n \"34330\": \"What day did he join the class?\"\n },\n {\n \"34331\": \"What was the teacher's name?\"\n },\n {\n \"34332\": \"Who did she ask Peter to sit next to?\"\n },\n {\n \"34333\": \"Were they next to the window?\"\n },\n {\n \"34334\": \"Was Peter terrible at math?\"\n },\n {\n \"34335\": \"What time was lunch?\"\n },\n {\n \"34336\": \"Where did the boys sit?\"\n },\n {\n \"34337\": \"What did Tom bring to eat?\"\n },\n {\n \"34338\": \"What about Peter?\"\n },\n {\n \"34339\": \"Did Tom grab the wrong bag?\"\n },\n {\n \"34340\": \"Where was his other bag?\"\n },\n {\n \"34341\": \"Did the boys wash their hands before eating?\"\n },\n {\n \"34342\": \"What was Peter wearing?\"\n },\n {\n \"34343\": \"Was this the regular uniform?\"\n },\n {\n \"34344\": \"Did he seem comfortable?\"\n },\n {\n \"34345\": \"What kind of bag was he holding?\"\n },\n {\n \"34346\": \"With what in it?\"\n },\n {\n \"34347\": \"Including rulers?\"\n },\n {\n \"34348\": \"Was he willing to share with his new friend?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34329\",\n \"answer\": \"Peter.\"\n },\n {\n \"question_id\": \"34330\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"34331\",\n \"answer\": \"Mrs. Brown\"\n },\n {\n \"question_id\": \"34332\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"34333\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34334\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34335\",\n \"answer\": \"half past twelve\"\n },\n {\n \"question_id\": \"34336\",\n \"answer\": \"on the floor\"\n },\n {\n \"question_id\": \"34337\",\n \"answer\": \"an old apple, old cheese, and leftover fish\"\n },\n {\n \"question_id\": \"34338\",\n \"answer\": \"Peter had two eggs and some bread\"\n },\n {\n \"question_id\": \"34339\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34340\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"34341\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34342\",\n \"answer\": \"trousers, a jacket, and a shirt\"\n },\n {\n \"question_id\": \"34343\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34344\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34345\",\n \"answer\": \"plastic\"\n },\n {\n \"question_id\": \"34346\",\n \"answer\": \"school supplies\"\n },\n {\n \"question_id\": \"34347\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34348\",\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 Red is the color at the end of the spectrum of visible light next to orange and opposite violet. Red color has a predominant light wavelength of roughly 620–740 nanometres. Red is one of the additive primary colors of visible light, along with green and blue, which in Red Green Blue (RGB) color systems are combined to create all the colors on a computer monitor or television screen. Red is also one of the subtractive primary colors, along with yellow and blue, of the RYB color space and traditional color wheel used by painters and artists. \n\nIn nature, the red color of blood comes from hemoglobin, the iron-containing protein found in the red blood cells of all vertebrates. The red color of the Grand Canyon and other geological features is caused by hematite or red ochre, both forms of iron oxide. It also causes the red color of the planet Mars. The red sky at sunset and sunrise is caused by an optical effect known as Rayleigh scattering, which, when the sun is low or below the horizon, increases the red-wavelength light that reaches the eye. The color of autumn leaves is caused by pigments called anthocyanins, which are produced towards the end of summer, when the green chlorophyll is no longer produced. One to two percent of the human population has red hair; the color is produced by high levels of the reddish pigment pheomelanin (which also accounts for the red color of the lips) and relatively low levels of the dark pigment eumelanin.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24171\": \"What is red opposite to on the spectrum?\"\n },\n {\n \"24172\": \"What is it next to?\"\n },\n {\n \"24173\": \"what is the light's wavelength range?\"\n },\n {\n \"24174\": \"What does RGB stand for?\"\n },\n {\n \"24175\": \"What about RYB?\"\n },\n {\n \"24176\": \"What does the red in blod come from?\"\n },\n {\n \"24177\": \"What about in geological areas?\"\n },\n {\n \"24178\": \"What causes the red sky at sunset?\"\n },\n {\n \"24179\": \"Is it the same with sunrise?\"\n },\n {\n \"24180\": \"What are the pigments affecting the leaves called?\"\n },\n {\n \"24181\": \"Is it true that when the sun is low or below the horizon, the red-wavelength decreases the light that reaches the eye?\"\n },\n {\n \"24182\": \"What percentage of humans are redheaded?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24171\",\n \"answer\": \"violet\"\n },\n {\n \"question_id\": \"24172\",\n \"answer\": \"orange\"\n },\n {\n \"question_id\": \"24173\",\n \"answer\": \"roughly 620\\u2013740 nanometres\"\n },\n {\n \"question_id\": \"24174\",\n \"answer\": \"Red Green Blue\"\n },\n {\n \"question_id\": \"24175\",\n \"answer\": \"Red, Yellow, Blue\"\n },\n {\n \"question_id\": \"24176\",\n \"answer\": \"hemoglobin\"\n },\n {\n \"question_id\": \"24177\",\n \"answer\": \"hematite or red ochre\"\n },\n {\n \"question_id\": \"24178\",\n \"answer\": \"Rayleigh scattering\"\n },\n {\n \"question_id\": \"24179\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24180\",\n \"answer\": \"anthocyanins\"\n },\n {\n \"question_id\": \"24181\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24182\",\n \"answer\": \"two\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXXVI Rockpier \n\nFor Love himself took part against himself To warn us off.--TENNYSON \n\nRosamond was to have a taste of her old vocation, and go campaigning for lodgings, the searching for which she declared to be her strongest point. Rockpier was to be the destination of the family; Eleonora Vivian, whose letters had been far fewer than had been expected of her, was known to be there with her father, and this was lure sufficient for Frank. Frank's welfare again was the lure to Mrs. Poynsett; and the benefit Rosamond was to derive from sea air, after all she had gone through, made Julius willing to give himself the holiday that everybody insisted on his having until Lent. \n\nFirst, however, was sent off an advanced guard, consisting of Rosamond and Terry, who went up to London with Frank, that he might there consult an aurist, and likewise present himself to his chief, and see whether he could keep his clerkship. All this turned out well, his duties did not depend on his ears, and a month's longer leave of absence was granted to him; moreover, his deafness was pronounced to be likely to yield to treatment, and a tube restored him to somewhat easier intercourse with mankind, and he was in high spirits, when, after an evening spent with Rosamond's friends, the M'Kinnons, the trio took an early train for Rockpier, where Rosamond could not detain Frank even to come to the hotel with them and have luncheon before hurrying off to Verdure Point, the villa inhabited by Sir Harry. All he had done all the way down was to impress upon her, in the fulness of his knowledge of the place, that the only habitable houses in Rockpier were in that direction--the nearer to Verdure Point the more perfect! \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82285\": \"Who is the author of the quote at the beginning of the chapter?\"\n },\n {\n \"82286\": \"Where was the family going?\"\n },\n {\n \"82287\": \"Who was known to be there?\"\n },\n {\n \"82288\": \"Did she correspond regularly?\"\n },\n {\n \"82289\": \"Who was she with?\"\n },\n {\n \"82290\": \"Who wanted to go to Rockpier because of her?\"\n },\n {\n \"82291\": \"And who wanted to go because of him?\"\n },\n {\n \"82292\": \"Is Rockpier near the ocean?\"\n },\n {\n \"82293\": \"What would help Rosamond?\"\n },\n {\n \"82294\": \"How long will the vacation be?\"\n },\n {\n \"82295\": \"Who went to London?\"\n },\n {\n \"82296\": \"What part of his body did Frank get checked?\"\n },\n {\n \"82297\": \"What's wrong with them?\"\n },\n {\n \"82298\": \"What was put in his ear?\"\n },\n {\n \"82299\": \"Did it solve the problem?\"\n },\n {\n \"82300\": \"How did that make him feel?\"\n },\n {\n \"82301\": \"Who are Rosamond's friends?\"\n },\n {\n \"82302\": \"What did the trio do with them?\"\n },\n {\n \"82303\": \"Where did Rosamond want to go first?\"\n },\n {\n \"82304\": \"And do what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82285\",\n \"answer\": \"TENNYSON\"\n },\n {\n \"question_id\": \"82286\",\n \"answer\": \"Rockpier\"\n },\n {\n \"question_id\": \"82287\",\n \"answer\": \"Eleonora Vivian\"\n },\n {\n \"question_id\": \"82288\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82289\",\n \"answer\": \"her father\"\n },\n {\n \"question_id\": \"82290\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"82291\",\n \"answer\": \"Mrs. Poynsett\"\n },\n {\n \"question_id\": \"82292\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82293\",\n \"answer\": \"sea air\"\n },\n {\n \"question_id\": \"82294\",\n \"answer\": \"a month\"\n },\n {\n \"question_id\": \"82295\",\n \"answer\": \"Rosamond and Terry and Frank\"\n },\n {\n \"question_id\": \"82296\",\n \"answer\": \"His ears\"\n },\n {\n \"question_id\": \"82297\",\n \"answer\": \"deafness\"\n },\n {\n \"question_id\": \"82298\",\n \"answer\": \"a tube\"\n },\n {\n \"question_id\": \"82299\",\n \"answer\": \"Somewhat\"\n },\n {\n \"question_id\": \"82300\",\n \"answer\": \"he was in high spirits\"\n },\n {\n \"question_id\": \"82301\",\n \"answer\": \"the M'Kinnons\"\n },\n {\n \"question_id\": \"82302\",\n \"answer\": \"took an early train for Rockpier\"\n },\n {\n \"question_id\": \"82303\",\n \"answer\": \"the hotel\"\n },\n {\n \"question_id\": \"82304\",\n \"answer\": \"have luncheon\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jack was a carpenter . He was living in a village. His mother died a long time ago. His aged father, Ken, lived with him. Ken could not even walk well. He was so weak. It was because Jack did not give him enough food. He only gave his father a small bowl made from earth. Even a little rice in the bowl appeared to be much. Jack had a son. His name is Mike. He was a very good boy. He loved his grandfather. He had great respect for the old man. He did not like his father's _ to his grandfather. One day Ken was eating his food out of the earthen bowl. The bowl fell down and broke into pieces. The food also fell on the floor. Jack saw the broken bowl. He was very angry with his father. The old man felt bad about what happened. He was sorry for his mistake. Mike saw this. He did not like what his father did, but he was afraid to speak against his father. The next day, Mike took some of his father's tools and a piece of wood. He worked with the tools to make a wooden bowl. His father saw him working. \"What are you making, Mike?\"he asked. \"I am making a wooden bowl! \"replied Mike. \"I am making it for you, father. When you grow old, like my grandfather, you will need a bowl for food. A bowl made from earth may break very easily. So I want to give you a wooden bowl\" After hearing this, Jack felt sorry and regretted having treated his father badly.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66790\": \"What was Mike making?\"\n },\n {\n \"66791\": \"Who for?\"\n },\n {\n \"66792\": \"what was the father's name?\"\n },\n {\n \"66793\": \"Whar relation to Jack was Ken?\"\n },\n {\n \"66794\": \"Was jack's mother still alive?\"\n },\n {\n \"66795\": \"What did Jack make a bowl out of?\"\n },\n {\n \"66796\": \"What happened to Ken's bowl?\"\n },\n {\n \"66797\": \"how?\"\n },\n {\n \"66798\": \"Was it empty at the time?\"\n },\n {\n \"66799\": \"What was in it?\"\n },\n {\n \"66800\": \"How did ken feel about dropping the bowl?\"\n },\n {\n \"66801\": \"anything else?\"\n },\n {\n \"66802\": \"Did Mike approve of how the old man was treated?\"\n },\n {\n \"66803\": \"Did he say anything?\"\n },\n {\n \"66804\": \"why not?\"\n },\n {\n \"66805\": \"what did he do instead?\"\n },\n {\n \"66806\": \"for who?\"\n },\n {\n \"66807\": \"why?\"\n },\n {\n \"66808\": \"How did did his dad feel?\"\n },\n {\n \"66809\": \"did he treat his own dad well in the past?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66790\",\n \"answer\": \"a wooden bowl!\"\n },\n {\n \"question_id\": \"66791\",\n \"answer\": \"father\"\n },\n {\n \"question_id\": \"66792\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"66793\",\n \"answer\": \"His father\"\n },\n {\n \"question_id\": \"66794\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66795\",\n \"answer\": \"wood\"\n },\n {\n \"question_id\": \"66796\",\n \"answer\": \"It broke.\"\n },\n {\n \"question_id\": \"66797\",\n \"answer\": \"The bowl fell down.\"\n },\n {\n \"question_id\": \"66798\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66799\",\n \"answer\": \"food\"\n },\n {\n \"question_id\": \"66800\",\n \"answer\": \"bad\"\n },\n {\n \"question_id\": \"66801\",\n \"answer\": \"sorry\"\n },\n {\n \"question_id\": \"66802\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66803\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66804\",\n \"answer\": \"he was afraid\"\n },\n {\n \"question_id\": \"66805\",\n \"answer\": \"He made a wooden bowl.\"\n },\n {\n \"question_id\": \"66806\",\n \"answer\": \"His father\"\n },\n {\n \"question_id\": \"66807\",\n \"answer\": \"He will need a bowl for food.\"\n },\n {\n \"question_id\": \"66808\",\n \"answer\": \"sorry\"\n },\n {\n \"question_id\": \"66809\",\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 Rio de Janeiro (; ; \"River of January\"), or simply Rio, is the second-most populous municipality in Brazil and the sixth-most populous in the Americas. The metropolis is anchor to the Rio de Janeiro metropolitan area, the second-most populous metropolitan area in Brazil and sixth-most populous in the Americas. Rio de Janeiro the capital of the state of Rio de Janeiro, Brazil's third-most populous state. Part of the city has been designated as a World Heritage Site, named \"\"Rio de Janeiro: Carioca Landscapes between the Mountain and the Sea\"\", by UNESCO on 1 July 2012 as a Cultural Landscape. \n\nFounded in 1565 by the Portuguese, the city was initially the seat of the Captaincy of Rio de Janeiro, a domain of the Portuguese Empire. Later, in 1763, it became the capital of the State of Brazil, a state of the Portuguese Empire. In 1808, when the Portuguese Royal Court transferred itself from Portugal to Brazil, Rio de Janeiro became the chosen seat of the court of Queen Maria I of Portugal, who subsequently, in 1815, under the leadership of her son, the Prince Regent, and future King João VI of Portugal, raised Brazil to the dignity of a kingdom, within the United Kingdom of Portugal, Brazil, and Algarves. Rio stayed the capital of the pluricontinental Lusitanian monarchy until 1822, when the War of Brazilian Independence began. This is one of the few instances in history that the capital of a colonising country officially shifted to a city in one of its colonies. Rio de Janeiro subsequently served as the capital of the independent monarchy, the Empire of Brazil, until 1889, and then the capital of a republican Brazil until 1960 when the capital was transferred to Brasília.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84237\": \"What municipality are we talking about?\"\n },\n {\n \"84238\": \"When was it founded?\"\n },\n {\n \"84239\": \"By whom?\"\n },\n {\n \"84240\": \"Which ranking in population is it in the Americas?\"\n },\n {\n \"84241\": \"What was it the seat of at first?\"\n },\n {\n \"84242\": \"When did the War of Brazilian Independence start?\"\n },\n {\n \"84243\": \"Of which empire was it a domain?\"\n },\n {\n \"84244\": \"Where did the city become a capital of after that?\"\n },\n {\n \"84245\": \"In what year?\"\n },\n {\n \"84246\": \"Who moved to Brazil in 1808?\"\n },\n {\n \"84247\": \"Whose court?\"\n },\n {\n \"84248\": \"Who was leader when Brazil became a kingdom?\"\n },\n {\n \"84249\": \"Within how many areas did he achieve this?\"\n },\n {\n \"84250\": \"Name one.\"\n },\n {\n \"84251\": \"Name another please.\"\n },\n {\n \"84252\": \"Which is the last?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84237\",\n \"answer\": \"Rio de Janeiro\"\n },\n {\n \"question_id\": \"84238\",\n \"answer\": \"1565\"\n },\n {\n \"question_id\": \"84239\",\n \"answer\": \"Portuguese\"\n },\n {\n \"question_id\": \"84240\",\n \"answer\": \"sixth\"\n },\n {\n \"question_id\": \"84241\",\n \"answer\": \"court of Queen Maria I of Portugal\"\n },\n {\n \"question_id\": \"84242\",\n \"answer\": \"1822\"\n },\n {\n \"question_id\": \"84243\",\n \"answer\": \"Portuguese Empire.\"\n },\n {\n \"question_id\": \"84244\",\n \"answer\": \"State of Brazil,\"\n },\n {\n \"question_id\": \"84245\",\n \"answer\": \"1763\"\n },\n {\n \"question_id\": \"84246\",\n \"answer\": \"Portuguese Royal Court\"\n },\n {\n \"question_id\": \"84247\",\n \"answer\": \"Queen Maria I\"\n },\n {\n \"question_id\": \"84248\",\n \"answer\": \"Jo\\u00e3o VI\"\n },\n {\n \"question_id\": \"84249\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"84250\",\n \"answer\": \"United Kingdom of Portugal,\"\n },\n {\n \"question_id\": \"84251\",\n \"answer\": \"Brazil,\"\n },\n {\n \"question_id\": \"84252\",\n \"answer\": \"Algarves\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (LifeWire) -- After his father was diagnosed with dementia in 1996, Anthony Lazzara Jr. faced a difficult decision: He and his wife, Gail, either could place his father, Anthony Lazzara Sr., in a facility, or they could care for him themselves. \n\nAnthony Lazzara Jr. (right) and his wife, Gail (left), cared for Anthony Lazzara Sr. at home for eight years. \n\nUnable to afford a care facility, the Lazzaras brought him home. \n\nSo began eight long years of caring for the World War II veteran and onetime truck driver as he slowly declined -- a burden borne largely by Gail, 56. \n\nShe fed him, bathed him and changed his diapers on a daily basis while her husband, a truck driver, was on the road. \n\nSlowly, she says, her marriage began to crumble. \n\n\"I couldn't take my frustration out on my father-in-law,\" she says. Instead, she took it out on her husband. \n\n\"We almost ended up divorcing over the whole deal,\" says Anthony Jr., 56. \n\nGail concedes she considered leaving, \"but I couldn't walk away from my father-in-law.\" \n\nTwo years ago, the Lazzaras finally threw in the towel. A bed became available at a local Veterans Affairs facility, and the elder Lazzara was admitted. He remained there until April 2008, when he died at age 95. \n\nA difficult labor of love \n\nAs the Lazzaras can attest, the stress of caring for an elderly parent can overwhelm a relationship. Chauffeuring loved ones to appointments, handling their shopping, assuming their financial burden, even just living under the same roof can test even the most committed couples. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48157\": \"What choice does a family have when a member is diagnosed with dementia?\"\n },\n {\n \"48158\": \"What choice did the Lazzara family make?\"\n },\n {\n \"48159\": \"Who was diagnosed with dementia?\"\n },\n {\n \"48160\": \"When?\"\n },\n {\n \"48161\": \"Who largely bore the responsibility for his care?\"\n },\n {\n \"48162\": \"How was she related to Lazzara Sr.?\"\n },\n {\n \"48163\": \"What were some of her duties?\"\n },\n {\n \"48164\": \"Why couldn't her husband help?\"\n },\n {\n \"48165\": \"What was his career?\"\n },\n {\n \"48166\": \"Did they care for Lazzara Sr. until his death?\"\n },\n {\n \"48167\": \"When did they stop caring for him at home?\"\n },\n {\n \"48168\": \"Where did he go, then?\"\n },\n {\n \"48169\": \"At what age did he die?\"\n },\n {\n \"48170\": \"In what year?\"\n },\n {\n \"48171\": \"In what war had he served?\"\n },\n {\n \"48172\": \"What career did he also share with his son?\"\n },\n {\n \"48173\": \"Did it take a toll on the marriage between Gail and Anthony?\"\n },\n {\n \"48174\": \"Did they divorce?\"\n },\n {\n \"48175\": \"Are Gail and Anthony the same age?\"\n },\n {\n \"48176\": \"How old are they?\"\n },\n {\n \"48177\": \"Why didn't Gail leave the relationship?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48157\",\n \"answer\": \"place them in a facility, or care for them themselves\"\n },\n {\n \"question_id\": \"48158\",\n \"answer\": \"cared for them at home\"\n },\n {\n \"question_id\": \"48159\",\n \"answer\": \"Anthony Lazzara Sr.\"\n },\n {\n \"question_id\": \"48160\",\n \"answer\": \"1996\"\n },\n {\n \"question_id\": \"48161\",\n \"answer\": \"Gail\"\n },\n {\n \"question_id\": \"48162\",\n \"answer\": \"he was her father-in-law\"\n },\n {\n \"question_id\": \"48163\",\n \"answer\": \"She fed him, bathed him and changed his diapers\"\n },\n {\n \"question_id\": \"48164\",\n \"answer\": \"he was on the road\"\n },\n {\n \"question_id\": \"48165\",\n \"answer\": \"truck driver\"\n },\n {\n \"question_id\": \"48166\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48167\",\n \"answer\": \"Two years ago\"\n },\n {\n \"question_id\": \"48168\",\n \"answer\": \"a local Veterans Affairs facility\"\n },\n {\n \"question_id\": \"48169\",\n \"answer\": \"95\"\n },\n {\n \"question_id\": \"48170\",\n \"answer\": \"2008\"\n },\n {\n \"question_id\": \"48171\",\n \"answer\": \"World War II\"\n },\n {\n \"question_id\": \"48172\",\n \"answer\": \"truck driver\"\n },\n {\n \"question_id\": \"48173\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48174\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48175\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48176\",\n \"answer\": \"56\"\n },\n {\n \"question_id\": \"48177\",\n \"answer\": \"she couldn't walk away from her father-in-law\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHICAGO ---Call it a reward, or just \"bribery \". \n\nWhichever it is, many parents today readily admit to buying off their children, who getgoodies for anything from behaving in a restaurant to sleeping all night in their own beds. \n\nThat's what worries parenting experts. \n\n\"I think that reward systems have a time and a place and work really well in certain situations,\" says Marcy Safyer, director of the Adelphi University Institute for Parenting. \n\n\"But what often gets lost for people is being able to figure out how to communicate to their kids that doing the thing is rewarding enough,\" Safyer says. \n\nParents and experts alike agree that thedynamic is partly a reflection of the world we live in. It's unrealistic to think a parent wouldn't reward their children with material things sometimes, says Robin Lanzi, a clinical psychologist and mother of four who's the research director at the Center on Health and Education at Georgetown University. \n\n\"But you want to make sure that they match the behavior, so it's not something huge for something small,\" Lanzi says. \n\nShe recalls hearing about a father who offered his child a Nintendo Wii game system for scoring a couple goals in a soccer game. \n\nElizabeth Powell, a mother of two young daughters in Austin, Texas, knows what she means. \n\n\"You want to raise them in a way that they're respectful and appreciate things,\" Powell says of her children. \"But sometimes, you wonder now if kids appreciate even a new pair of shoes. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98637\": \"What are the range of behaviors that parents admit to rewarding?\"\n },\n {\n \"98638\": \"What do experts recommend for rewards?\"\n },\n {\n \"98639\": \"What's an example the expert has seen in contradiction to this?\"\n },\n {\n \"98640\": \"What's the reason the caretaker gave on why this is bad?\"\n },\n {\n \"98641\": \"Is it realistic to imagine this can happen sometimes>\"\n },\n {\n \"98642\": \"Which school was the person from who stated this?\"\n },\n {\n \"98643\": \"What school is the other researcher from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98637\",\n \"answer\": \"behaving it to sleeping in their beds.\"\n },\n {\n \"question_id\": \"98638\",\n \"answer\": \"not something huge for something small,\"\n },\n {\n \"question_id\": \"98639\",\n \"answer\": \"game system for scoring goals in game.\"\n },\n {\n \"question_id\": \"98640\",\n \"answer\": \"Communication to the kids that doing something is rewarding enough\"\n },\n {\n \"question_id\": \"98641\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98642\",\n \"answer\": \"Georgetown University.\"\n },\n {\n \"question_id\": \"98643\",\n \"answer\": \"Adelphi University Institute for Parenting\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n \"Mohawk Guy,\" a Mars rover flight director, isn't just a social media sensation -- he made an impression on President Barack Obama, too. \n\n\"I, in the past, thought about getting a mohawk myself, but my team keeps on discouraging me,\" Obama told scientists at NASA's Jet Propulsion Laboratory in a phone call Monday broadcast on NASA TV. \n\n\"And now that he's received marriage proposals and thousands of new Twitter followers, I think that I'm going to go back to my team and see if it makes sense,\" he said to the sound of laughter from dozens of NASA employees. \n\nObama called NASA mission specialists to congratulate them on the successful landing of the rover Curiosity, which reached Mars one week ago. He praised them for their achievements in the phone call, which was both laudatory and lighthearted. \n\n\"Mohawk Guy,\" whose real name is Bobak Ferdowsi, has become famous for his look during the rover landing last week. As the world waited for Curiosity to touch down, Ferdowsi sported a red-and-black mohawk; the sides of his head featured yellow dyed stars. \n\nDecoding the workplace dress code \n\n\"It does sound like NASA has come a long way from the white-shirt, black dark-rimmed glasses and the pocket protectors,\" Obama told Jet Propulsion Laboratory Director Charles Elachi and colleagues. \"You guys are a little cooler than you used to be.\" \n\nMore seriously, Obama thanked the scientists for devoting their lives to the cause of exploration outside our planet. \n\n\"What you've accomplished embodies the American spirit,\" he said. \"Our expectation is that Curiosity is going to be telling us things that we did not know before,\" he said, and that the rover will lay the groundwork for an even more \"audacious undertaking,\" which would be \"a human mission to the red planet.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84751\": \"What is his nickname?\"\n },\n {\n \"84752\": \"Who has he impressed?\"\n },\n {\n \"84753\": \"What impressed him?\"\n },\n {\n \"84754\": \"What was it?\"\n },\n {\n \"84755\": \"Where does he work?\"\n },\n {\n \"84756\": \"What is his name?\"\n },\n {\n \"84757\": \"What were they watching?\"\n },\n {\n \"84758\": \"What was it called?\"\n },\n {\n \"84759\": \"Where did it go?\"\n },\n {\n \"84760\": \"What is it's name\"\n },\n {\n \"84761\": \"What did they used to wear?\"\n },\n {\n \"84762\": \"Who did the president tell this to?\"\n },\n {\n \"84763\": \"Who is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84751\",\n \"answer\": \"Mohawk Guy,\"\n },\n {\n \"question_id\": \"84752\",\n \"answer\": \"President Barack Obama\"\n },\n {\n \"question_id\": \"84753\",\n \"answer\": \"his look during the rover landing\"\n },\n {\n \"question_id\": \"84754\",\n \"answer\": \"a red-and-black mohawk; the sides of his head featured yellow dyed stars.\"\n },\n {\n \"question_id\": \"84755\",\n \"answer\": \"NASA\"\n },\n {\n \"question_id\": \"84756\",\n \"answer\": \"Bobak Ferdowsi\"\n },\n {\n \"question_id\": \"84757\",\n \"answer\": \"the rover landing\"\n },\n {\n \"question_id\": \"84758\",\n \"answer\": \"Curiosity\"\n },\n {\n \"question_id\": \"84759\",\n \"answer\": \"the red planet.\\\"\"\n },\n {\n \"question_id\": \"84760\",\n \"answer\": \"Mars\"\n },\n {\n \"question_id\": \"84761\",\n \"answer\": \"white-shirt, black dark-rimmed glasses and the pocket protectors\"\n },\n {\n \"question_id\": \"84762\",\n \"answer\": \"Charles Elachi\"\n },\n {\n \"question_id\": \"84763\",\n \"answer\": \"Jet Propulsion Laboratory Director\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cheating is nothing new. But today, education and administrations are finding that examples of academic dishonesty on the part of students have become more frequent--- and are less likely to be punished---than in the \n\npast. Cheating appears to have gained acceptance among good and poor students alike. \n\nWhy is student cheating on the rise? No one really knows. Some blame the trend on a general loosening of moral values among today's youth. Others have attributed increased cheating to the fact that today's youth are far more practical than their idealistic ancestors. Whereas in the late sixties and early seventies, students were filled with visions about changing the word, today's students feel great pressure to survive and succeed. In interviews with students at high schools and colleges around the country, both young men and women said that cheating had become easy. Some suggested they did it out of hate for teachers they didn't respect. Others looked at it as a game. Only if they were caught, some said, would they feel guilty. \"People are competitive,\" said a second-year college student named Anna, from Chicago. \"There is an potential fear. If you don't do well, your life is going to be ruined. The pressure is not only from parents and friends but from yourself. To achieve. To succeed. It's almost as though we have to surpass people to achieve our own goals. \n\nEdward Wynne, editor of a magazine blames the rise in academic dishonesty in the schools. He claims that administrators and teachers have been too hesitant to take action. Dwight Huber, chairman of the English Department at Amarillo sees the matter differently, blaming the rise in cheating on the way students evaluated. \"I would cheat if I felt I was being cheated,\" Mr. Huber said. He feels that as long as teachers give short-answer tests rather than essay questions and rate students by the number of facts they can memorize rather than by how well they can combine and process information, students will try to beat the system. \" The concept of cheating is based on the false belief that the system is legal and there is something wrong with _ who're doing it,\" he said, \"That's too easy an answer. We've got to start looking at the system.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92979\": \"Why is cheating on the rise?\"\n },\n {\n \"92980\": \"What do some blame it on?\"\n },\n {\n \"92981\": \"What else has been said?\"\n },\n {\n \"92982\": \"Do kids think it's easy these days?\"\n },\n {\n \"92983\": \"What is a reason they said they did it?\"\n },\n {\n \"92984\": \"Would they feel guilty?\"\n },\n {\n \"92985\": \"What did Anna say?\"\n },\n {\n \"92986\": \"What year of school is she in?\"\n },\n {\n \"92987\": \"What city is she from?\"\n },\n {\n \"92988\": \"What does she thinks happens if you don't do well?\"\n },\n {\n \"92989\": \"Who does Edward Wynne blame?\"\n },\n {\n \"92990\": \"Who is Dwight Huber?\"\n },\n {\n \"92991\": \"Does he agree with Wynne?\"\n },\n {\n \"92992\": \"Who does he blame?\"\n },\n {\n \"92993\": \"What does he think the concept of cheating is based on?\"\n },\n {\n \"92994\": \"Who does he think should be investigated?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92979\",\n \"answer\": \"It has gained acceptance among good and poor students alike.\"\n },\n {\n \"question_id\": \"92980\",\n \"answer\": \"Some blame the trend on a general loosening of moral values among today's youth\"\n },\n {\n \"question_id\": \"92981\",\n \"answer\": \"Today's youth are far more practical than their idealistic ancestors\"\n },\n {\n \"question_id\": \"92982\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92983\",\n \"answer\": \"I would cheat if I felt I was being cheated\"\n },\n {\n \"question_id\": \"92984\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92985\",\n \"answer\": \"People are competitive\"\n },\n {\n \"question_id\": \"92986\",\n \"answer\": \"Second-year college student\"\n },\n {\n \"question_id\": \"92987\",\n \"answer\": \"Chicago\"\n },\n {\n \"question_id\": \"92988\",\n \"answer\": \"Your life is going to be ruined.\"\n },\n {\n \"question_id\": \"92989\",\n \"answer\": \"The rise in academic dishonesty in the schools\"\n },\n {\n \"question_id\": \"92990\",\n \"answer\": \"Chairman of the English Department at Amarillo\"\n },\n {\n \"question_id\": \"92991\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92992\",\n \"answer\": \"The teachers that give short-answer tests rather than essay questions\"\n },\n {\n \"question_id\": \"92993\",\n \"answer\": \"The false belief that the system is legal and there is something wrong with _ who're doing it\"\n },\n {\n \"question_id\": \"92994\",\n \"answer\": \"The system\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 June 26, 2000, two scientists, called Francis Collins and Craig Venter, told the world that they could read the whole \"map\" of the human body: DNA. DNA is something that everybody has, and it tells the body what to do. DNA is the reason that we look like our mother and father, because we get some of their DNA to make our own. People have been trying to understand the human body for a long time. In 1860, Gregor Mendel discovered a special reason why we look the same as other people in our family. It is because of small things named \"genes\" in our body. In 1953, James Watson and Francis Crick made another discovery and found out that those small parts are real messages written in the DNA with a special language. In 1961, Marshall Nirenberg and Johann Matthaci found a message in DNA showing how DNA tells the cell to build its parts. Scientists have now found all the words in the DNA map, but we still do not understand what they all do. By understanding what just one \"word\" means, we can help save more people from several illnesses. Most people hope that this will help make better medicine and help sick people. Other people worry that when people begin to know more words and find out lots of other information, we might use it in a wrong way, just to make people more attractive, or stop sick people from getting jobs. Man would have to meet a lot of trouble if DNA technic wasn't limited in use.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41295\": \"What is a map of the human body called?\"\n },\n {\n \"41296\": \"Who said they could read this map?\"\n },\n {\n \"41297\": \"Is RNA why we resemble our parents?\"\n },\n {\n \"41298\": \"Is the study of it new?\"\n },\n {\n \"41299\": \"Who studied it first?\"\n },\n {\n \"41300\": \"What year was that?\"\n },\n {\n \"41301\": \"Did he discover chromosomes?\"\n },\n {\n \"41302\": \"What did he discover?\"\n },\n {\n \"41303\": \"When was the next epiphany on this topic?\"\n },\n {\n \"41304\": \"Who unearthed it?\"\n },\n {\n \"41305\": \"When was the next breakthrough?\"\n },\n {\n \"41306\": \"Are researchers now fully experts in this science?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41295\",\n \"answer\": \"DNA.\"\n },\n {\n \"question_id\": \"41296\",\n \"answer\": \"Francis Collins and Craig Venter.\"\n },\n {\n \"question_id\": \"41297\",\n \"answer\": \"No, genes are.\"\n },\n {\n \"question_id\": \"41298\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"41299\",\n \"answer\": \"Gregor Mendel\"\n },\n {\n \"question_id\": \"41300\",\n \"answer\": \"In 1860.\"\n },\n {\n \"question_id\": \"41301\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"41302\",\n \"answer\": \"The reason we look like others.\"\n },\n {\n \"question_id\": \"41303\",\n \"answer\": \"In 1953,.\"\n },\n {\n \"question_id\": \"41304\",\n \"answer\": \"James Watson and Francis Crick.\"\n },\n {\n \"question_id\": \"41305\",\n \"answer\": \"In 1961.\"\n },\n {\n \"question_id\": \"41306\",\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 Chicago is next to a beautiful lake, Lake Michigan. In the summer Lake Michigan is warm and blue .People lie on the beaches and swim in the water. In the winter Lake Michigan is cold and gray .Snow covers the beaches, and ice covers the water. On a cold January day, a little boy and his father were playing in the snow on Chicago beach. The boy was Jimrsy Tontlewicx. He was four years old .Several Minutes went by .The father still couldn't find Jimmy. Firemen arrived .Twenty minutes later they found Jimmy and pulled him out of the water. Jimmy was not breathing, and his heart was not beating . He was dead. At the beach paramedics worked on Jimmy for an hour . He began to breathe , and his heart began to beat . The paramedics rushed Jimmy to the hospital.Doctors at the hospital put Jimmy in bed .They put him on a cold mattress because they wanted his body to warm up slowly. They gave him some medicine because they wanted him to sleep .After six weeks in the hospital he got better ,Then he went to another hospital. He stayed there for seven weeks .He began to walk ,talk ,and play again. Jimmy was in the water for more than 20 minutes . He couldn't breathe in the water . He couldn't get any oxygen .But today he is alive and healthy. How is it possible? Jimmy is alive because the water was ice cold. Usually the brain needs a lot of oxygen .But when it's very cold , the brain slows down. It does not need much oxygen .So the ice cold water saved Jimmy . Jimmy's father has another reason .He says ,\"Jimmy is alive today because he is a fighter . \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12477\": \"When did the incident occur?\"\n },\n {\n \"12478\": \"Where was it?\"\n },\n {\n \"12479\": \"What was the body of water involved?\"\n },\n {\n \"12480\": \"Who was involved?\"\n },\n {\n \"12481\": \"What was the boy's name?\"\n },\n {\n \"12482\": \"How long did he disappear for?\"\n },\n {\n \"12483\": \"Who found him?\"\n },\n {\n \"12484\": \"Where did they find him?\"\n },\n {\n \"12485\": \"Did they take him to more than one hospital?\"\n },\n {\n \"12486\": \"How long was he at the first one?\"\n },\n {\n \"12487\": \"How long at the second one?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12477\",\n \"answer\": \"On a cold January day\"\n },\n {\n \"question_id\": \"12478\",\n \"answer\": \"on a Chicago beach.\"\n },\n {\n \"question_id\": \"12479\",\n \"answer\": \"Lake Michigan\"\n },\n {\n \"question_id\": \"12480\",\n \"answer\": \"a little boy and his father\"\n },\n {\n \"question_id\": \"12481\",\n \"answer\": \"Jimrsy Tontlewicx\"\n },\n {\n \"question_id\": \"12482\",\n \"answer\": \"Twenty minutes\"\n },\n {\n \"question_id\": \"12483\",\n \"answer\": \"Firemen\"\n },\n {\n \"question_id\": \"12484\",\n \"answer\": \"the water\"\n },\n {\n \"question_id\": \"12485\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"12486\",\n \"answer\": \"six weeks\"\n },\n {\n \"question_id\": \"12487\",\n \"answer\": \"seven weeks\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (EW.com) -- \"The Closer\" closed out Kyra Sedgwick's involvement in the series on Monday night, installing Mary McDonnell in her place, in a \"new\" series, \"Major Crimes.\" \n\nWhile I have no inside information about how McDonnell was originally cast in \"The Closer,\" I'm led to think, based on the premiere episode that aired after the \"Closer\" finale, that she was never intended to be the new star of the show. Because the new show is, I believe, an inevitable disappointment for hardcore \"Closer\" fans. As for those of us who are Mary McDonnell fans? Ambivalence reigns! \n\nFirst of all, the exit of Sedgwick's Brenda Leigh Johnson. (This is your SPOILER ALERT.) \n\n\"The Closer\" series finale brought closure to Deputy Chief Johnson's career, as she faced off with her long-running arch-nemesis, the serial rapist Philip Stroh (Billy Burke). Then Johnson abruptly accepted a new job (something like chief of bureau of investigations L.A. liason officer in the D.A.'s office -- it sounded like the longest-titled cushy job possible) and lit out, munching a signature bit of junk food. \n\nOver the years, \"The Closer\" had become a light-comedy crime show with heavy-handed humor performed not just by Sedgwick but also the supporting cast that has migrated over to \"Major Crimes,\" especially G.W. Bailey, whose slow burns have become endless fuming, and, only by contrast to a lesser extent, Tony Denison, Michael Paul Chan, Raymond Cruz, and Phillip P. Keene. (I've always found it interesting that Denison and Chan are veterans of two, need I say superior, Michael Mann TV shows, Crime Story and Robbery Homicide Division -- indeed, many of Chan's gestures and body language when he enters a crime scene strongly echo his moves in RHD, and I'd bet that's where he picked up those good habits, from Mann's heavily-researched series.) \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10325\": \"What plot point required a spoiler alert?\"\n },\n {\n \"10326\": \"From what show?\"\n },\n {\n \"10327\": \"Was the actor replaced?\"\n },\n {\n \"10328\": \"By who?\"\n },\n {\n \"10329\": \"Did the program keep its original name when this happened?\"\n },\n {\n \"10330\": \"What name did it take?\"\n },\n {\n \"10331\": \"Does the program air at the end of the week or the front of the week?\"\n },\n {\n \"10332\": \"Was the departing character's arc completed?\"\n },\n {\n \"10333\": \"Did she have a bad guy she kept facing off with?\"\n },\n {\n \"10334\": \"Who was he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10325\",\n \"answer\": \"exit of Sedgwick's Brenda Leigh Johnson\"\n },\n {\n \"question_id\": \"10326\",\n \"answer\": \"The Closer\"\n },\n {\n \"question_id\": \"10327\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"10328\",\n \"answer\": \"Mary McDonnell\"\n },\n {\n \"question_id\": \"10329\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"10330\",\n \"answer\": \"Major Crimes\"\n },\n {\n \"question_id\": \"10331\",\n \"answer\": \"front of the week\"\n },\n {\n \"question_id\": \"10332\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"10333\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"10334\",\n \"answer\": \"Philip Stroh (Billy Burke).\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Mother's Day Sunday I went to breakfast with my mom, sister and wife. The day before that, I bought my mom a lovely bunch of flowers. My mom had eggs, my sister had pancakes, and my wife had toast. I had a muffin. The restaurant was called Maggie's. It was not my favorite breakfast restaurant. I like Denny's or a diner. Breakfast was not good. The pancakes were soggy, the toast was burned and the eggs were cold. Even worse, my breakfast made me sick. But after breakfast we went back to my house and I gave my mom the present I bought. It was a sunny day, and we all had a nice afternoon.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3656\": \"what did you buy before sunday?\"\n },\n {\n \"3657\": \"for who?\"\n },\n {\n \"3658\": \"did you visit her on sunday?\"\n },\n {\n \"3659\": \"who else was there?\"\n },\n {\n \"3660\": \"anyone else?\"\n },\n {\n \"3661\": \"did you share a meal with them?\"\n },\n {\n \"3662\": \"what meal?\"\n },\n {\n \"3663\": \"where?\"\n },\n {\n \"3664\": \"what did you mom have?\"\n },\n {\n \"3665\": \"who had toast?\"\n },\n {\n \"3666\": \"what did your sister have?\"\n },\n {\n \"3667\": \"did you like the place?\"\n },\n {\n \"3668\": \"what would you have prefered?\"\n },\n {\n \"3669\": \"was it good?\"\n },\n {\n \"3670\": \"how many things were bad?\"\n },\n {\n \"3671\": \"did you get sick?\"\n },\n {\n \"3672\": \"where did you go after breakfast?\"\n },\n {\n \"3673\": \"was it a nice day outside?\"\n },\n {\n \"3674\": \"was it raining?\"\n },\n {\n \"3675\": \"did you give your mom anything?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3656\",\n \"answer\": \"flowers\"\n },\n {\n \"question_id\": \"3657\",\n \"answer\": \"mom\"\n },\n {\n \"question_id\": \"3658\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3659\",\n \"answer\": \"sister\"\n },\n {\n \"question_id\": \"3660\",\n \"answer\": \"my wife\"\n },\n {\n \"question_id\": \"3661\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3662\",\n \"answer\": \"Breakfast\"\n },\n {\n \"question_id\": \"3663\",\n \"answer\": \"Maggie's\"\n },\n {\n \"question_id\": \"3664\",\n \"answer\": \"eggs\"\n },\n {\n \"question_id\": \"3665\",\n \"answer\": \"my wife\"\n },\n {\n \"question_id\": \"3666\",\n \"answer\": \"pancakes\"\n },\n {\n \"question_id\": \"3667\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3668\",\n \"answer\": \"Denny's or a diner.\"\n },\n {\n \"question_id\": \"3669\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3670\",\n \"answer\": \"Everything.\"\n },\n {\n \"question_id\": \"3671\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"3672\",\n \"answer\": \"home.\"\n },\n {\n \"question_id\": \"3673\",\n \"answer\": \"nice afternoon\"\n },\n {\n \"question_id\": \"3674\",\n \"answer\": \"a sunny day\"\n },\n {\n \"question_id\": \"3675\",\n \"answer\": \"A present.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Have you ever listened to young children talking in the playground? They are always boasting. They say things like, \"My Dad's car is bigger than your Dad's,\" and \"My Mom is smarter than yours.\" They particularly like to boast about their families. There were three little boys, Harry, Ted and Gavin, who were always boasting. Gavin was the worst. Everything about his family was always the best or the biggest or the most expensive. Whatever the others said, he could always go on better. One day when they were walking to school, Harry said, \"My father had a bath twice a week,\" Ted spoke next. \"That's nothing,\" he said. \"Having a bath twice a week is dirty. My father has a bath every day, sometimes twice a day.\" Ted looked at Gavin. Now it was his turn. But what could he say? \"This time,\" Ted thought, \"I'm going to win.\" Gavin didn't know what to say. He couldn't say that his father had a bath three times a day. That was silly. He walked on in silence. Ted smiled at Harry, and Harry smiled back. They were sure that for once they had beaten Gavin. They reached the school gates. Still Gavin said nothing. \"We've won,\" Ted said to Harry, but he spoke too soon. On the way home, Gavin said, \"My Dad is so clean that he doesn't have to bathe at all.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39524\": \"What does it say children on the playground are always doing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39524\",\n \"answer\": \"boasting\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXI \n\nMISS LENEVEU'S MESSAGE \n\nThe two men stepped back into the hotel. The cashier had returned to his desk, and the incident which had just transpired seemed to have passed unnoticed. Nevertheless, Laverick felt that the studied indifference of his companion's manner had its significance, and he endeavored to imitate it. \n\n\"Shall we go through into the bar?\" he asked. \"There's very seldom any one there at this time.\" \n\n\"Anywhere you say,\" Bellamy answered. \"It's years since we had a drink together.\" \n\nThey passed into the inner room and, finding it empty, drew two chairs into the further corner. Bellamy summoned the waiter. \n\n\"Two whiskies and sodas quick, Tim,\" he ordered. \"Now, Laverick, listen to me,\" he added, as the waiter turned away. \"We are alone for the moment but it won't be for long. You know very well that it wasn't to renew our schoolboy acquaintance that I've asked you to come in here with me.\" \n\nLaverick drew a little breath. \n\n\"Please go on,\" he said. \"I am as anxious as you can be to grasp this affair properly.\" \n\n\"When we left school,\" Bellamy remarked, \"you were destined for the Stock Exchange. I went first to Magdalen. Did you ever hear what became of me afterwards?\" \n\n\"I always understood,\" Laverick answered, \"that you went into one of the Government offices.\" \n\n\"Quite right,\" Bellamy assented. \"I did. At this moment I have the honor to serve His Majesty.\" \n\n\"Two thousand a year and two hours work a day,\" Laverick laughed. \"I know the sort of thing.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44745\": \"What was the excuse that Bellamy used to bring Laverick with him?\"\n },\n {\n \"44746\": \"What was Laverick's plan after school?\"\n },\n {\n \"44747\": \"Where did Bellamy go?\"\n },\n {\n \"44748\": \"And then where?\"\n },\n {\n \"44749\": \"Does he still work there?\"\n },\n {\n \"44750\": \"What does Laverick say about that?\"\n },\n {\n \"44751\": \"What did they order to drink?\"\n },\n {\n \"44752\": \"How long had the two been friends?\"\n },\n {\n \"44753\": \"What was the waiter's name?\"\n },\n {\n \"44754\": \"Was the bar busy?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44745\",\n \"answer\": \"\\\"It's years since we had a drink together.\\\"\"\n },\n {\n \"question_id\": \"44746\",\n \"answer\": \"he was destined for the Stock Exchange.\"\n },\n {\n \"question_id\": \"44747\",\n \"answer\": \"to Magdalen\"\n },\n {\n \"question_id\": \"44748\",\n \"answer\": \"to the Government offices\"\n },\n {\n \"question_id\": \"44749\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44750\",\n \"answer\": \"Two thousand a year and two hours work a day,\"\n },\n {\n \"question_id\": \"44751\",\n \"answer\": \"Two whiskies and sodas\"\n },\n {\n \"question_id\": \"44752\",\n \"answer\": \"since school\"\n },\n {\n \"question_id\": \"44753\",\n \"answer\": \"Tim\"\n },\n {\n \"question_id\": \"44754\",\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 XVI \n\nHer vague, unreal existence continued. It seemed in some previous life-time that Billy had gone away, that another life-time would have to come before he returned. She still suffered from insomnia. Long nights passed in succession, during which she never closed her eyes. At other times she slept through long stupors, waking stunned and numbed, scarcely able to open her heavy eyes, to move her weary limbs. The pressure of the iron band on her head never relaxed. She was poorly nourished. Nor had she a cent of money. She often went a whole day without eating. Once, seventy-two hours elapsed without food passing her lips. She dug clams in the marsh, knocked the tiny oysters from the rocks, and gathered mussels. \n\nAnd yet, when Bud Strothers came to see how she was getting along, she convinced him that all was well. One evening after work, Tom came, and forced two dollars upon her. He was terribly worried. He would like to help more, but Sarah was expecting another baby. There had been slack times in his trade because of the strikes in the other trades. He did not know what the country was coming to. And it was all so simple. All they had to do was see things in his way and vote the way he voted. Then everybody would get a square deal. Christ was a Socialist, he told her. \n\n\"Christ died two thousand years ago,\" Saxon said. \n\n\"Well?\" Tom queried, not catching her implication. \n\n\"Think,\" she said, \"think of all the men and women who died in those two thousand years, and socialism has not come yet. And in two thousand years more it may be as far away as ever. Tom, your socialism never did you any good. It is a dream.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25796\": \"Who mentioned Christ first?\"\n },\n {\n \"25797\": \"Who discussed it with him?\"\n },\n {\n \"25798\": \"Did she agree with him?\"\n },\n {\n \"25799\": \"What time frame did she point out?\"\n },\n {\n \"25800\": \"What social system was mentioned?\"\n },\n {\n \"25801\": \"Was she well rested?\"\n },\n {\n \"25802\": \"What condition did she have?\"\n },\n {\n \"25803\": \"What condition did Saxon suffer from?\"\n },\n {\n \"25804\": \"Was she eating well?\"\n },\n {\n \"25805\": \"What was eating?\"\n },\n {\n \"25806\": \"Did she get them from the market?\"\n },\n {\n \"25807\": \"How did she get them?\"\n },\n {\n \"25808\": \"From where?\"\n },\n {\n \"25809\": \"Did she have plenty of them?\"\n },\n {\n \"25810\": \"Where there enough for three meals a day?\"\n },\n {\n \"25811\": \"Who was she missing?\"\n },\n {\n \"25812\": \"Was he returning soon?\"\n },\n {\n \"25813\": \"Was she a rich woman?\"\n },\n {\n \"25814\": \"How much cash did she have?\"\n },\n {\n \"25815\": \"How much did she have before that?\"\n },\n {\n \"25816\": \"Who gave her that cash?\"\n },\n {\n \"25817\": \"Was he cheap?\"\n },\n {\n \"25818\": \"Why only $2?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25796\",\n \"answer\": \"Bud Strothers\"\n },\n {\n \"question_id\": \"25797\",\n \"answer\": \"Saxon\"\n },\n {\n \"question_id\": \"25798\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25799\",\n \"answer\": \"two thousand years\"\n },\n {\n \"question_id\": \"25800\",\n \"answer\": \"socialism\"\n },\n {\n \"question_id\": \"25801\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25802\",\n \"answer\": \"she was expecting another baby.\"\n },\n {\n \"question_id\": \"25803\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"25804\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25805\",\n \"answer\": \"clams, oysters and mussels.\"\n },\n {\n \"question_id\": \"25806\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25807\",\n \"answer\": \"She dug and gathered them\"\n },\n {\n \"question_id\": \"25808\",\n \"answer\": \"the marsh\"\n },\n {\n \"question_id\": \"25809\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25810\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25811\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"25812\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25813\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25814\",\n \"answer\": \"two dollars\"\n },\n {\n \"question_id\": \"25815\",\n \"answer\": \"not a cen\"\n },\n {\n \"question_id\": \"25816\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"25817\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"25818\",\n \"answer\": \"There had been slack times in his trade\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One hot summer day in August my family and I wanted to go to the beach. We had not gone to the beach in a very long time and felt that today was a great day to do it. \n\nWe piled everyone into the car-my mom, my dad, my sister, my dog, and me. I begged mom and dad to let me sit in the front seat, but they said no. I had to sit next to the smelly dog instead for the whole trip. \n\nWhen we got to the beach and opened the car door our dog raced down to the water to play. I grabbed the large umbrella we brought and walked down to the sand with mom and dad. After we had found a spot, they let me go play in the water. \n\nIt felt really good to cool off in the ocean water on such a hot day. As I swam around I saw many cool things, like fish, seaweed, and shells. I brought the interesting shells that I found to a bucket I had on the beach and threw them in. They would be great to add to my collection at home. \n\nWhen I got tired of swimming, my sister and I wanted to make a sand castle. We built towers using buckets and dug a huge ditch with our shovels. When our castle was complete we were about to take a picture, but then the dog ran it over and smashed it. I was about to yell at the dog, but then mom said it was getting late and we had to go home. \n\nWhen we got home I was wiped out from playing all day, so I went to sleep almost immediately. It was a very good day that I'll always remember.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95361\": \"Why did someone go to the beach?\"\n },\n {\n \"95362\": \"Who hadn't?\"\n },\n {\n \"95363\": \"How many people are in the family?\"\n },\n {\n \"95364\": \"Any pets?\"\n },\n {\n \"95365\": \"What kind?\"\n },\n {\n \"95366\": \"Did you sit in the front of the car?\"\n },\n {\n \"95367\": \"who sat with you?\"\n },\n {\n \"95368\": \"When did you get in the water?\"\n },\n {\n \"95369\": \"Was it warm?\"\n },\n {\n \"95370\": \"Was there anything interesting there?\"\n },\n {\n \"95371\": \"What were they?\"\n },\n {\n \"95372\": \"such as?\"\n },\n {\n \"95373\": \"What did you do with the shells?\"\n },\n {\n \"95374\": \"Who yelled at the dog?\"\n },\n {\n \"95375\": \"What did you build?\"\n },\n {\n \"95376\": \"did anyone help?\"\n },\n {\n \"95377\": \"Who said it was time to go home?\"\n },\n {\n \"95378\": \"why?\"\n },\n {\n \"95379\": \"Did you stay up late?\"\n },\n {\n \"95380\": \"why?\"\n },\n {\n \"95381\": \"so what did you do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95361\",\n \"answer\": \"they hadn't been in a long time\"\n },\n {\n \"question_id\": \"95362\",\n \"answer\": \"my family and I\"\n },\n {\n \"question_id\": \"95363\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"95364\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95365\",\n \"answer\": \"my dog\"\n },\n {\n \"question_id\": \"95366\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95367\",\n \"answer\": \"the smelly dog\"\n },\n {\n \"question_id\": \"95368\",\n \"answer\": \"After we had found a spot\"\n },\n {\n \"question_id\": \"95369\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95370\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95371\",\n \"answer\": \"many cool things\"\n },\n {\n \"question_id\": \"95372\",\n \"answer\": \"like fish, seaweed, and shells.\"\n },\n {\n \"question_id\": \"95373\",\n \"answer\": \"I put them in a bucket\"\n },\n {\n \"question_id\": \"95374\",\n \"answer\": \"no one\"\n },\n {\n \"question_id\": \"95375\",\n \"answer\": \"a sandcastle\"\n },\n {\n \"question_id\": \"95376\",\n \"answer\": \"my sister\"\n },\n {\n \"question_id\": \"95377\",\n \"answer\": \"mom\"\n },\n {\n \"question_id\": \"95378\",\n \"answer\": \"she said it was getting late\"\n },\n {\n \"question_id\": \"95379\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95380\",\n \"answer\": \"I was wiped out from playing all day\"\n },\n {\n \"question_id\": \"95381\",\n \"answer\": \"I went to sleep almost immediately\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Islamabad, Pakistan (CNN) -- A massive car bomb tore through the heart of a bustling marketplace in Peshawar, Pakistan, Wednesday, killing at least 100 people -- including many women and children -- and injuring at least 200 others, officials said. \n\nA vehicle packed with 150 kilograms (330 pounds) of explosives detonated at the Meena Bazaar, a labyrinth of shops popular with women. The impact destroyed buildings, burying people underneath the rubble, and sparked massive fires in the shops, mosques, and homes. \n\nIn a year of seemingly endless militant attacks in Pakistan, this was the deadliest. Those who survived described a narrow escape: \n\n\"I ducked quickly and when I looked up it was complete darkness,\" said Imdad. \"I couldn't see anyone. The cars and the van were lying upside down.\" \n\nAre you there? Send your photos and videos to iReport \n\nFareed Ullah, a student at a nearby mosque, was injured when he fell from the second floor as he tried to escape a fire ignited by the blast at the Meena Bazaar. \n\n\"We only saw a red blaze and nothing else,\" he said from his hospital bed. \"My friends and I fell from the second floor. We didn't know where we were.\" \n\nThe remote-controlled detonation killed at least 100 people and injured as many as 200 others, hospital and government officials said. The deaths include 68 males and 32 females, including 10 children, the head of the main hospital in Peshawar said. \n\nThe car bomb left a 10-foot-wide crater, and the flames spread quickly through stores selling highly flammable fabric. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74755\": \"How many children were killed in the explosion?\"\n },\n {\n \"74756\": \"Where did the car bomb go off?\"\n },\n {\n \"74757\": \"About how many were killed?\"\n },\n {\n \"74758\": \"Who was injured falling from the 2nd floor?\"\n },\n {\n \"74759\": \"About how many total were injured?\"\n },\n {\n \"74760\": \"How many men were killed?\"\n },\n {\n \"74761\": \"What was the vehicle packed with?\"\n },\n {\n \"74762\": \"How much?\"\n },\n {\n \"74763\": \"How much is that in pounds?\"\n },\n {\n \"74764\": \"How many women were killed?\"\n },\n {\n \"74765\": \"How was the bomb detonated?\"\n },\n {\n \"74766\": \"What was highly flammable in the stores?\"\n },\n {\n \"74767\": \"How wide was the crater the explosion left?\"\n },\n {\n \"74768\": \"What news institution wrote the article?\"\n },\n {\n \"74769\": \"What was the name of the Bazaar where the incident happend?\"\n },\n {\n \"74770\": \"Who is the Bazaar popular with?\"\n },\n {\n \"74771\": \"Where was Farred Ullah a student?\"\n },\n {\n \"74772\": \"Was he studying engineering?\"\n },\n {\n \"74773\": \"Who else fell with him from the 2nd floor?\"\n },\n {\n \"74774\": \"Did the explosion happen on a Thursday?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74755\",\n \"answer\": \"10\"\n },\n {\n \"question_id\": \"74756\",\n \"answer\": \"Peshawar, Pakistan\"\n },\n {\n \"question_id\": \"74757\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"74758\",\n \"answer\": \"Fareed Ullah\"\n },\n {\n \"question_id\": \"74759\",\n \"answer\": \"200\"\n },\n {\n \"question_id\": \"74760\",\n \"answer\": \"68\"\n },\n {\n \"question_id\": \"74761\",\n \"answer\": \"explosives\"\n },\n {\n \"question_id\": \"74762\",\n \"answer\": \"150 kilograms\"\n },\n {\n \"question_id\": \"74763\",\n \"answer\": \"330 pounds\"\n },\n {\n \"question_id\": \"74764\",\n \"answer\": \"32\"\n },\n {\n \"question_id\": \"74765\",\n \"answer\": \"remote-controlled\"\n },\n {\n \"question_id\": \"74766\",\n \"answer\": \"fabric\"\n },\n {\n \"question_id\": \"74767\",\n \"answer\": \"10-foot-wide crater\"\n },\n {\n \"question_id\": \"74768\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"74769\",\n \"answer\": \"Meena\"\n },\n {\n \"question_id\": \"74770\",\n \"answer\": \"women\"\n },\n {\n \"question_id\": \"74771\",\n \"answer\": \"a nearby mosque\"\n },\n {\n \"question_id\": \"74772\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"74773\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"74774\",\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 Billy was like a king on the school yard. A king without a queen. He was the biggest kid in our grade, so he made all the rules during recess. He was a big bully. He told kids what to do, what to play, what to sing, and called them names like \"Dork\". He always had a smile on his face as he sat on the bench next to the big tree and watched his \"kingdom\". All of the other kids were scared of him. Even I was scared of him. He was mean and he could beat you up if you made him angry. Last week, a very, very stupid kid chose not to listen to Billy. Billy beat him up and Mr.Stupid Kid told the grownups that he tripped. No one would dare get Billy in trouble. Billy was mean, but he kept the school yard from getting too crazy. Well I had enough it. Billy had been picking on us for too long and we had to stop him. I grabbed some fishing line from home and brought it to school the next day. Before recess, I tied a long piece of fishing line around the tree by Billy's bench and tied the other end to a big rock. Then I went inside for class. When it was recess, Billy sat on his bench and started yelling at people. This was it. I called out, \"Hey you big dummy! You're not so tough\". Billy's face turned red with anger and he started marching my way. Billy marched and then tripped over the fishing line. Billy was lying face down and he seemed to be crying. Everyone cheered. The king was down.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23514\": \"What was Billy like?\"\n },\n {\n \"23515\": \"Why did he make all the rules?\"\n },\n {\n \"23516\": \"Who did he beat up?\"\n },\n {\n \"23517\": \"Why didn't anyone want to tell on him?\"\n },\n {\n \"23518\": \"what was the fishing line attached to?\"\n },\n {\n \"23519\": \"why?\"\n },\n {\n \"23520\": \"why?\"\n },\n {\n \"23521\": \"what did billy sit on?\"\n },\n {\n \"23522\": \"who tattled on him?\"\n },\n {\n \"23523\": \"what did he tell?\"\n },\n {\n \"23524\": \"what happened after billy fell down?\"\n },\n {\n \"23525\": \"who decided what the children would do?\"\n },\n {\n \"23526\": \"What did he tie the string to first?\"\n },\n {\n \"23527\": \"what was it by?\"\n },\n {\n \"23528\": \"then to what?\"\n },\n {\n \"23529\": \"what did he do after that?\"\n },\n {\n \"23530\": \"what did he call billy?\"\n },\n {\n \"23531\": \"why did he get red?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23514\",\n \"answer\": \"a king\"\n },\n {\n \"question_id\": \"23515\",\n \"answer\": \"he was the biggest kid\"\n },\n {\n \"question_id\": \"23516\",\n \"answer\": \"him\"\n },\n {\n \"question_id\": \"23517\",\n \"answer\": \"he kept the school yard from getting too crazy\"\n },\n {\n \"question_id\": \"23518\",\n \"answer\": \"a tree and a rock\"\n },\n {\n \"question_id\": \"23519\",\n \"answer\": \"he wanted to stop billy\"\n },\n {\n \"question_id\": \"23520\",\n \"answer\": \"he didn't want to be picked on anymore\"\n },\n {\n \"question_id\": \"23521\",\n \"answer\": \"the bench\"\n },\n {\n \"question_id\": \"23522\",\n \"answer\": \"Mr.Stupid Kid\"\n },\n {\n \"question_id\": \"23523\",\n \"answer\": \"he tripped\"\n },\n {\n \"question_id\": \"23524\",\n \"answer\": \"Everyone cheered\"\n },\n {\n \"question_id\": \"23525\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"23526\",\n \"answer\": \"the tree\"\n },\n {\n \"question_id\": \"23527\",\n \"answer\": \"Billy's bench\"\n },\n {\n \"question_id\": \"23528\",\n \"answer\": \"a big rock\"\n },\n {\n \"question_id\": \"23529\",\n \"answer\": \"went inside\"\n },\n {\n \"question_id\": \"23530\",\n \"answer\": \"big dummy\"\n },\n {\n \"question_id\": \"23531\",\n \"answer\": \"he was angry\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 iPod is a line of portable media players and multi-purpose pocket computers designed and marketed by Apple Inc. The first line was released on October 23, 2001, about 8½ months after iTunes (Macintosh version) was released. The most recent iPod redesigns were announced on July 15, 2015. There are three current versions of the iPod: the ultra-compact iPod Shuffle, the compact iPod Nano and the touchscreen iPod Touch. \n\nLike other digital music players, iPods can serve as external data storage devices. Storage capacity varies by model, ranging from 2 GB for the iPod Shuffle to 128 GB for the iPod Touch (previously 160 GB for the iPod Classic, which is now discontinued). \n\nApple's iTunes software (and other alternative software) can be used to transfer music, photos, videos, games, contact information, e-mail settings, Web bookmarks, and calendars, to the devices supporting these features from computers using certain versions of Apple Macintosh and Microsoft Windows operating systems.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14708\": \"Is the iPod a phone?\"\n },\n {\n \"14709\": \"Is it a portable device?\"\n },\n {\n \"14710\": \"What is it exactly?\"\n },\n {\n \"14711\": \"How many kinds are there currently?\"\n },\n {\n \"14712\": \"Is the iPod Classic one of them?\"\n },\n {\n \"14713\": \"Who makes the iPod?\"\n },\n {\n \"14714\": \"When was it first put out?\"\n },\n {\n \"14715\": \"Was that before iTunes?\"\n },\n {\n \"14716\": \"What happened on July 15, 2015?\"\n },\n {\n \"14717\": \"Which did these include?\"\n },\n {\n \"14718\": \"Which is the smallest?\"\n },\n {\n \"14719\": \"How did the iPod Touch get its name?\"\n },\n {\n \"14720\": \"Can iPods store files?\"\n },\n {\n \"14721\": \"Which current type can hold the most?\"\n },\n {\n \"14722\": \"How large is that one?\"\n },\n {\n \"14723\": \"Is that the biggest they've ever made?\"\n },\n {\n \"14724\": \"Which one was?\"\n },\n {\n \"14725\": \"How many gigs was that one?\"\n },\n {\n \"14726\": \"How does one transfer music on an iPod?\"\n },\n {\n \"14727\": \"Does it work with Windows?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14708\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14709\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14710\",\n \"answer\": \"a line of portable media players and multi-purpose pocket computers\"\n },\n {\n \"question_id\": \"14711\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"14712\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14713\",\n \"answer\": \"Apple Inc.\"\n },\n {\n \"question_id\": \"14714\",\n \"answer\": \"October 23, 2001\"\n },\n {\n \"question_id\": \"14715\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14716\",\n \"answer\": \"The most recent iPod redesigns were announced\"\n },\n {\n \"question_id\": \"14717\",\n \"answer\": \"the iPod Shuffle, the iPod Nano and the iPod Touch.\"\n },\n {\n \"question_id\": \"14718\",\n \"answer\": \"iPod Shuffle\"\n },\n {\n \"question_id\": \"14719\",\n \"answer\": \"the touchscreen\"\n },\n {\n \"question_id\": \"14720\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14721\",\n \"answer\": \"iPod Touch\"\n },\n {\n \"question_id\": \"14722\",\n \"answer\": \"128 GB\"\n },\n {\n \"question_id\": \"14723\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14724\",\n \"answer\": \"the iPod Classic\"\n },\n {\n \"question_id\": \"14725\",\n \"answer\": \"160 GB\"\n },\n {\n \"question_id\": \"14726\",\n \"answer\": \"Apple's iTunes software (and other alternative software)\"\n },\n {\n \"question_id\": \"14727\",\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 IX. \n\nTHE PLOT AGAINST HAL. \n\nHal Carson was sure that he had just missed a most important statement. \n\n\"I wish Ferris had finished what he intended to say,\" he thought. \n\nHe waited breathlessly for the two to go on. \n\n\"What makes you so scared?\" asked Ferris. \"Can anybody hear us here?\" \n\n\"I think not. Still we want to be careful.\" \n\n\"Yes, but----\" \n\n\"Not another word on that point, Dick.\" Hardwick's voice grew stern. \"I am a man, while you are a boy, and I know what is best for both of us.\" \n\n\"Well, have your own way.\" \n\n\"I think it will be a wise plan for you to get Carson out of the way. He is altogether too smart a fellow to have around,\" continued the book-keeper. \n\n\"I don't think he looks very smart,\" sneered Ferris, who could not stand hearing Hal praised. \n\n\"He's smarter than you or most people think. That yarn about his being brought up in the poor-house may be true, but I have my doubts.\" \n\n\"Why?\" asked Ferris, in high curiosity. \n\n\"I can't explain now.\" There was a brief pause. \"Here, take a cigar. Those nasty cigarettes make me sick.\" \n\nThere was the striking of matches, and then another pause. \n\n\"Are you going to continue as book-keeper when Allen leaves?\" asked Ferris. \n\n\"Certainly.\" \n\n\"I thought you were to go with Allen in his new venture.\" \n\n\"I will--later on.\" \n\n\"Has he made any definite plans yet?\" \n\n\"No.\" \n\n\"The reason I asked is because I want you to put in a word for me.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34375\": \"How many people were talking?\"\n },\n {\n \"34376\": \"Who?\"\n },\n {\n \"34377\": \"What did they discuss?\"\n },\n {\n \"34378\": \"Why did they do that?\"\n },\n {\n \"34379\": \"Were they jealous of him?\"\n },\n {\n \"34380\": \"Did they have a plan then?\"\n },\n {\n \"34381\": \"Were they smoking?\"\n },\n {\n \"34382\": \"What?\"\n },\n {\n \"34383\": \"Why?\"\n },\n {\n \"34384\": \"Who kept the books?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34375\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"34376\",\n \"answer\": \"Ferris and Dick\"\n },\n {\n \"question_id\": \"34377\",\n \"answer\": \"getting Carson out of the way\"\n },\n {\n \"question_id\": \"34378\",\n \"answer\": \"He is too smart\"\n },\n {\n \"question_id\": \"34379\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34380\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34381\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34382\",\n \"answer\": \"cigars\"\n },\n {\n \"question_id\": \"34383\",\n \"answer\": \"cigarettes make dick sick.\"\n },\n {\n \"question_id\": \"34384\",\n \"answer\": \"dick\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Barry the bowl lived in a cabinet in the kitchen. He sat next to the pots and under the pans. He liked his home, but he never got out much. He was only used for mixing when his friend wanted to bake a cake. One day, his friend pulled him out of the cabinet and put him on the table. He got out the eggs, flour and sugar and began to bake a cake. Barry was very excited. He looked around the kitchen as his friend mixed up all the ingredients. He saw a sink, a refrigerator and a toaster. He was sad to go back in the cabinet when his friend was all done with the cake. But he wasn't going back yet! His friend set him in the sink to wash out all of the leftover ingredients. It was a fun day out of the cabinet. Now it was time for him to go back home and wait for another day and another adventure.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35881\": \"What was Barry?\"\n },\n {\n \"35882\": \"Did he live in the garage?\"\n },\n {\n \"35883\": \"How did he feel about his house?\"\n },\n {\n \"35884\": \"Did he have a particular purpose?\"\n },\n {\n \"35885\": \"Who took him out?\"\n },\n {\n \"35886\": \"What was the buddy wanting to do?\"\n },\n {\n \"35887\": \"Was he upset to be on the table?\"\n },\n {\n \"35888\": \"What things did he get to see?\"\n },\n {\n \"35889\": \"What made him sad?\"\n },\n {\n \"35890\": \"After baking, what did his buddy do to him?\"\n },\n {\n \"35891\": \"Did he get cleaned up?\"\n },\n {\n \"35892\": \"how did he feel about his day?\"\n },\n {\n \"35893\": \"What would he be waiting for?\"\n },\n {\n \"35894\": \"Did he usually get to the table much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35881\",\n \"answer\": \"bowl\"\n },\n {\n \"question_id\": \"35882\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35883\",\n \"answer\": \"liked it\"\n },\n {\n \"question_id\": \"35884\",\n \"answer\": \"mixing\"\n },\n {\n \"question_id\": \"35885\",\n \"answer\": \"his friend\"\n },\n {\n \"question_id\": \"35886\",\n \"answer\": \"bake a cake\"\n },\n {\n \"question_id\": \"35887\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"35888\",\n \"answer\": \"sink, refrigerator, and toaster\"\n },\n {\n \"question_id\": \"35889\",\n \"answer\": \"going back in the cabinet\"\n },\n {\n \"question_id\": \"35890\",\n \"answer\": \"set him in the sink\"\n },\n {\n \"question_id\": \"35891\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"35892\",\n \"answer\": \"had fun\"\n },\n {\n \"question_id\": \"35893\",\n \"answer\": \"another adventure\"\n },\n {\n \"question_id\": \"35894\",\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 XXIV. \n\n\"March--march--march! Making sounds as they tread, Ho-ho! how they step, Going down to the dead.\" \n\nCoxe. \n\nThe time Maud consumed in her meditations over the box and its contents, had been employed by the captain in preparations for his enterprise. Joyce, young Blodget, Jamie and Mike, led by their commander in person, were to compose the whole force on the occasion; and every man had been busy in getting his arms, ammunition and provisions ready, for the last half-hour. When captain Willoughby, therefore, had taken leave of his family, he found the party in a condition to move. \n\nThe first great desideratum was to quit the Hut unseen. Joel and his followers were still at work, in distant fields; but they all carefully avoided that side of the Knoll which would have brought them within reach of the musket, and this left all behind the cliff unobserved, unless Indians were in the woods in that direction. As Mike had so recently passed in by that route, however, the probability was the whole party still remained in the neighbourhood of the mills, where all accounts agreed in saying they mainly kept. It was the intention of the captain, therefore, to sally by the rivulet and the rear of the house, and to gain the woods under cover of the bushes on the banks of the former, as had already been done by so many since the inroad. \n\nThe great difficulty was to quit the house, and reach the bed of the stream, unseen. This step, however, was a good deal facilitated by means of Joel's sally-port, the overseer having taken, himself, all the precautions against detection of which the case well admitted. Nevertheless, there was the distance between the palisades and the base of the rocks, some forty or fifty yards, which was entirely uncovered, and had to be passed under the notice of any wandering eyes that might happen to be turned in that quarter. After much reflection, the captain and serjeant came to the conclusion to adopt the following mode of proceeding. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85687\": \"Who was still working?\"\n },\n {\n \"85688\": \"Where at?\"\n },\n {\n \"85689\": \"The entire area?\"\n },\n {\n \"85690\": \"Where didn't they go?\"\n },\n {\n \"85691\": \"Why?\"\n },\n {\n \"85692\": \"Where did the lead want to get to?\"\n },\n {\n \"85693\": \"In what way?\"\n },\n {\n \"85694\": \"Who spent time thinking about what was in a package?\"\n },\n {\n \"85695\": \"How many people were going on patrol?\"\n },\n {\n \"85696\": \"And they were?\"\n },\n {\n \"85697\": \"How long had they been preparing?\"\n },\n {\n \"85698\": \"What were they getting prepared?\"\n },\n {\n \"85699\": \"Who was leaving his relatives?\"\n },\n {\n \"85700\": \"Was everyone ready to go then?\"\n },\n {\n \"85701\": \"Was it easy to be sneaky?\"\n },\n {\n \"85702\": \"What amount of space was open?\"\n },\n {\n \"85703\": \"What was to either side of the space?\"\n },\n {\n \"85704\": \"Did they decide to risk it?\"\n },\n {\n \"85705\": \"How many people decided?\"\n },\n {\n \"85706\": \"And they were?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85687\",\n \"answer\": \"Joel and his followers\"\n },\n {\n \"question_id\": \"85688\",\n \"answer\": \"in distant fields\"\n },\n {\n \"question_id\": \"85689\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85690\",\n \"answer\": \"the side of the Knoll\"\n },\n {\n \"question_id\": \"85691\",\n \"answer\": \"it would have brought them within reach of the musket\"\n },\n {\n \"question_id\": \"85692\",\n \"answer\": \"the woods\"\n },\n {\n \"question_id\": \"85693\",\n \"answer\": \"under cover of the bushes\"\n },\n {\n \"question_id\": \"85694\",\n \"answer\": \"Maud\"\n },\n {\n \"question_id\": \"85695\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"85696\",\n \"answer\": \"Joyce, young Blodget, Jamie, Mike and their commander\"\n },\n {\n \"question_id\": \"85697\",\n \"answer\": \"the last half-hour\"\n },\n {\n \"question_id\": \"85698\",\n \"answer\": \"arms, ammunition and provisions ready\"\n },\n {\n \"question_id\": \"85699\",\n \"answer\": \"captain Willoughby\"\n },\n {\n \"question_id\": \"85700\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85701\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85702\",\n \"answer\": \"forty or fifty yards\"\n },\n {\n \"question_id\": \"85703\",\n \"answer\": \"the palisades and the base of the rocks\"\n },\n {\n \"question_id\": \"85704\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85705\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"85706\",\n \"answer\": \"the captain and serjeant\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Arctic ( or ) is a polar region located at the northernmost part of Earth. The Arctic consists of the Arctic Ocean, adjacent seas, and parts of Alaska (United States), Northern Canada, Finland, Greenland (Denmark), Iceland, Norway, Russia and Sweden. Land within the Arctic region has seasonally varying snow and ice cover, with predominantly treeless permafrost-containing tundra. Arctic seas contain seasonal sea ice in many places. \n\nThe Arctic region is a unique area among Earth's ecosystems. For example, the cultures in the region and the Arctic indigenous peoples have adapted to its cold and extreme conditions. In recent years, Arctic sea ice decline has been caused by global warming. Life in the Arctic includes organisms living in the ice, zooplankton and phytoplankton, fish and marine mammals, birds, land animals, plants and human societies. Arctic land is bordered by the subarctic. \n\nThe word Arctic comes from the Greek word ἀρκτικός (\"arktikos\"), \"near the Bear, northern\" and that from the word ἄρκτος (\"arktos\"), meaning bear. The name refers either to the constellation Ursa Major, the \"Great Bear\", which is prominent in the northern portion of the celestial sphere, or to the constellation Ursa Minor, the \"Little Bear\", which contains Polaris, the Pole star, also known as the North Star.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88744\": \"how many countries make up the Arctic?\"\n },\n {\n \"88745\": \"is it warm there?\"\n },\n {\n \"88746\": \"is there anywhere else like it in the world?\"\n },\n {\n \"88747\": \"what lives there?\"\n },\n {\n \"88748\": \"what borders it?\"\n },\n {\n \"88749\": \"what language is the word taken from?\"\n },\n {\n \"88750\": \"what does it mean?\"\n },\n {\n \"88751\": \"where is the area located?\"\n },\n {\n \"88752\": \"are any bodies of water included in its area\"\n },\n {\n \"88753\": \"what is one of them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88744\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"88745\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"88746\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"88747\",\n \"answer\": \"organisms living in the ice, zooplankton and phytoplankton, fish and marine mammals, birds, land animals, plants and human societies.\"\n },\n {\n \"question_id\": \"88748\",\n \"answer\": \"subarctic.\"\n },\n {\n \"question_id\": \"88749\",\n \"answer\": \"Greek\"\n },\n {\n \"question_id\": \"88750\",\n \"answer\": \"near the Bear, northern\"\n },\n {\n \"question_id\": \"88751\",\n \"answer\": \"the northernmost part of Earth\"\n },\n {\n \"question_id\": \"88752\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88753\",\n \"answer\": \"the Arctic Ocean\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Two young artists named Sue and Joanna shared a studio apartment in the Greenwich Village area of New York, trying to realize their dreams. In November pneumonia killed many people. Unluckily, Joanna fell ill, too. One morning, a doctor examined Joanna and then spoke with Sue in another room. \"She has decided that she has no chance. All we can do is give her a strong will to live.\" \n\nHolding back her tears, Sue went to Joanna's room. Joanna lay with her face toward the window, eyes wide open. She was counting something backward. \"Twelve,\" she said, and a little later \"eleven\" until \"five,\" almost together. Sue looked out of the window. What was there to count? There was a wall covered with an old ivy vine growing half way up it. The cold breath of autumn has stricken the leaves from the vine until it was almost bare. \n\n\"Five what, dear?\" asked Sue. \n\n\"Leaves. On the ivy vine. When the last one falls I must go, too.\" \n\n\"Oh, Don't be silly.\" Said Sue, \"You will get better.\" \n\n\"There goes another one. I want to see the last one fall before it gets dark.\" \n\n\"Try to sleep.\" said Sue. \"I must call Mr. Behrman up to be my model for my drawing of an old miner. Don't try to move until I come back.\" \n\nOld Behrman was a poor painter who lived in the building. For years he had always been planning to paint a work of art, but had never yet begun it. He earned a little money by serving as a model to artists who could not pay for a professional model. \n\nSue found Behrman in his room. In one area was a blank canvas that had been waiting twenty-five years for the first line of paint. Sue told him about Joanna and how she feared that her friend would float away like a leaf. \n\n\"What!\" Old Behrman was angered at such an idea. \"How silly! Just take me to her room.\" \n\nJoanna was sleeping when they went in. A cold rain was falling, mixed with snow. \n\nThe next morning, Sue awoke after an hour's sleep. She found Joanna staring at the covered window. \"Pull up the shade; I want to see.\" Sue obeyed. \n\n\"It's the last leaf,\" said Joanna. \"It will fall today, and I will go with it.\" \n\nWhen night came, the rain began to fall again with a strong wind. \n\nThe next morning, Joanna demanded that the window shade be raised. The ivy leaf was still there. Joanna lay for a long time, looking at it. And then she called Sue, \"I have been a bad girl. I'm so wrong. Now I want to get well and paint again.\" \n\nThe doctor came to see Joanna in the afternoon. He told Sue \"Joanna is improving. Now I must see Behrman. Pneumonia, too, very ill. Little hope for him.\" \n\nLater that day, Sue came to Joanna, and put one arm around her. \n\n\"Mr. Behrman died of pneumonia in the hospital today. He was sick only two days. When someone went into his room, Behrman was lying there with his shoes on. His shoes and clothes were all wet. Nobody knew why.\" \n\n\"Oh, poor Behrman!\" Cried Joanna. \n\n\"See the last leaf on the wall,\" said Sue, \" It looks like a real leaf, doesn't it? \" \n\n\"A real leaf ? \" \n\n\"Ah, darling, it is Behrman's masterpiece -- he painted it there the night when the last leaf fell.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6387\": \"What are the names of the 2 artistis?\"\n },\n {\n \"6388\": \"What condition killed many people?\"\n },\n {\n \"6389\": \"Did Joanna fall ill?\"\n },\n {\n \"6390\": \"What was her prognosis?\"\n },\n {\n \"6391\": \"How did she react?\"\n },\n {\n \"6392\": \"Who spoke with her?\"\n },\n {\n \"6393\": \"Who was the painter in the building?\"\n },\n {\n \"6394\": \"How did he earn money?\"\n },\n {\n \"6395\": \"How many years for the first line of paint?\"\n },\n {\n \"6396\": \"Did Joanna improve?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6387\",\n \"answer\": \"Sue and Joanna\"\n },\n {\n \"question_id\": \"6388\",\n \"answer\": \"pneumonia\"\n },\n {\n \"question_id\": \"6389\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6390\",\n \"answer\": \"she has no chance.\"\n },\n {\n \"question_id\": \"6391\",\n \"answer\": \"She was counting something backward\"\n },\n {\n \"question_id\": \"6392\",\n \"answer\": \"a doctor\"\n },\n {\n \"question_id\": \"6393\",\n \"answer\": \"Old Behrman\"\n },\n {\n \"question_id\": \"6394\",\n \"answer\": \"by serving as a model to artists\"\n },\n {\n \"question_id\": \"6395\",\n \"answer\": \"twenty-five years\"\n },\n {\n \"question_id\": \"6396\",\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 Myspace is a social networking website offering an interactive, user-submitted network of friends, personal profiles, blogs, groups, photos, music, and videos. It is headquartered in Beverly Hills, California. \n\nMyspace was acquired by News Corporation in July 2005 for $580 million. From 2005 to 2008, Myspace was the largest social networking site in the world, and in June 2006 surpassed Google as the most visited website in the United States. In April 2008, Myspace was overtaken by Facebook in the number of unique worldwide visitors, and was surpassed in the number of unique U.S. visitors in May 2009, though Myspace generated $800 million in revenue during the 2008 fiscal year. Since then, the number of Myspace users has declined steadily in spite of several redesigns. As of March 2017, Myspace was ranked 3,178 by total Web traffic, and 1,650 in the United States. \n\nMyspace had a significant influence on pop culture and music and created a gaming platform that launched the successes of Zynga and RockYou, among others. Despite an overall decline, in 2015 Myspace still had 50.6 million unique monthly visitors and has a pool of nearly 1 billion active and inactive registered users. \n\nIn June 2009, Myspace employed approximately 1,600 employees. In June 2011, Specific Media Group and Justin Timberlake jointly purchased the company for approximately $35 million. On February 11, 2016 it was announced that Myspace and its parent company had been bought by Time Inc.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29562\": \"What is myspace?\"\n },\n {\n \"29563\": \"Who owns it?\"\n },\n {\n \"29564\": \"Since when?\"\n },\n {\n \"29565\": \"When was it the largest social site?\"\n },\n {\n \"29566\": \"Who owned it at that time?\"\n },\n {\n \"29567\": \"How much did they pay for it?\"\n },\n {\n \"29568\": \"Are they still the largest?\"\n },\n {\n \"29569\": \"Who is?\"\n },\n {\n \"29570\": \"Where are they located now?\"\n },\n {\n \"29571\": \"How much did Time pay?\"\n },\n {\n \"29572\": \"Did they influence anything?\"\n },\n {\n \"29573\": \"What?\"\n },\n {\n \"29574\": \"What companies did they help launch?\"\n },\n {\n \"29575\": \"How big was their pool in 2015?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"29562\",\n \"answer\": \"a social networking website\"\n },\n {\n \"question_id\": \"29563\",\n \"answer\": \"Time Inc.\"\n },\n {\n \"question_id\": \"29564\",\n \"answer\": \"February 11, 2016\"\n },\n {\n \"question_id\": \"29565\",\n \"answer\": \"From 2005 to 2008\"\n },\n {\n \"question_id\": \"29566\",\n \"answer\": \"News Corporation\"\n },\n {\n \"question_id\": \"29567\",\n \"answer\": \"$580 million\"\n },\n {\n \"question_id\": \"29568\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"29569\",\n \"answer\": \"Facebook\"\n },\n {\n \"question_id\": \"29570\",\n \"answer\": \"Hills, California\"\n },\n {\n \"question_id\": \"29571\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"29572\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"29573\",\n \"answer\": \"pop culture and music\"\n },\n {\n \"question_id\": \"29574\",\n \"answer\": \"Zynga and RockYou\"\n },\n {\n \"question_id\": \"29575\",\n \"answer\": \"nearly 1 billion active and inactive registered users\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n \"Norton,\" Sheppard said, \"I saw Rufus Johnson yesterday. Do you know what he was doing?\" The child looked at him with a kind of half attention, his eyes forward but not yet engaged. They were a paler blue than his father's as if they might have faded like the shirt; one of them listed, almost imperceptibly , toward the outer rim. \"He was in a path,\" Sheppard said, \"and he had his hand in a garbage can. He was trying to get something to eat out of it.\" He paused to let this soak in. \"He was hungry,\" he finished, and tried to pierce the child's conscience with his gaze. The boy picked up the piece of chocolate cake and began to bite it from one corner. \"Norton,\" Sheppard said, \"do you have any idea what it means to share?\" A flicker of attention. \"Some of it is yours,\" Norton said. \"Some of it is his,\" Sheppard said heavily. It was hopeless. Almost any fault would have been preferable to selfishness--a violent temper, even a tendency to lie. The child turned the bottle of tomato sauce upside-down and began thumping sauce onto the cake. Sheppard's look of pain increased. \"You are ten and Rufus Johnson is fourteen,\" he said. \"Yet, I'm sure your shirts would fit Rufus.\" Rufus Johnson was a boy whom he had been trying to help at the reformatory for the past year. He had been released two months ago. \"When he was in the reformatory, he looked pretty good, but when I saw him yesterday, he was skin and bones. He hasn't been eating cake with peanut butter on it for breakfast.\" The child paused. \"It's not fresh,\" he said. \"That's why I have to put stuff on it.\" Sheppard turned his face to the window at the end of the bar. The side lawn, green and even, sloped fifty feet or so down to a small suburban wood. When his wife was living, they had often eaten outside, even breakfast on the grass. He had never noticed then that the child was selfish. ks5u \"Listen to me,\" he said, turning back to him, \"look at me and listen.\" The boy looked at him. At least his eyes were forward. \"I gave Rufus a key to the house when he left the reformatory---to show my confidence in him and so he would have a place he could come to and feel welcome any time. He didn't use it, but I think he'll use it now because he's seen me and he's hungry. And if he doesn't use it, I'm going out and find him and bring him here. I can't see a child eating out of garbage cans.\" The boy frowned. It was dawning upon him that something of his was threatened. Sheppard's mouth stretched in disgust. \"Rufus's father died before he was born,\" he said. \"His mother is in the state penitentiary . He was raised by his grandfather in a shack without water or electricity and the old man beat him every day. How would you like to belong to a family like that?\" \"I don't know\" the child said lamely. \"Well, you might think about it sometime,\" Sheppard said. Sheppard was City Recreational Director. On Saturday he worked at the reformatory as a counselor, receiving nothing for it but the satisfaction of knowing he was helping boys no one else cared about. Johnson was the most intelligent boy he had worked with. Norton turned what was left of the cake over as if he no longer wanted it. \"You started that, now finish it,\" Sheppard said. \"Maybe he won't come,\" the child said and his eyes brightened slightly.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61015\": \"Who did Sheppard see?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61015\",\n \"answer\": \"Rufus\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n There are 45 students in our class. I have made a survey, 36 students say they like to exercise. Most boys play basketball together twice a week. But girls think basketball is difficult for them, they'd like to play volleyball together twice a week. My friend, Tony, is good at running. He runs fastest in our class. He runs for 30 minutes on the playground every evening before he goes to bed. Is it interesting? Gray is good at swimming. He goes to the swimming club three times a month in winter, and three times a week in summer. So he is pretty healthy. Some of my classmates have good eating habits. They eat both meat and vegetables. 70% of them drink milk every day. 15 students say they drink milk three or four times a week. But some students like to eat junk food, especially Sally. What's worse is that she doesn't like to exercise, so she is very fat. She always says \" I'm going to lose weight tomorrow.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78445\": \"Who is very fat?\"\n },\n {\n \"78446\": \"How many students are in the class?\"\n },\n {\n \"78447\": \"Who is good at swimming?\"\n },\n {\n \"78448\": \"How many times does he go to the club in winter?\"\n },\n {\n \"78449\": \"Who is good at running?\"\n },\n {\n \"78450\": \"How many minutes does he run on the playground?\"\n },\n {\n \"78451\": \"What percentage of students drink milk every day?\"\n },\n {\n \"78452\": \"What does Sally always say?\"\n },\n {\n \"78453\": \"How many students say they like exercise?\"\n },\n {\n \"78454\": \"Do the girls think basketball is easy?\"\n },\n {\n \"78455\": \"How often do the boys play basketball together in the week?\"\n },\n {\n \"78456\": \"How many times does Gray go to the club in summer?\"\n },\n {\n \"78457\": \"What do some students, especially Sally, like to eat?\"\n },\n {\n \"78458\": \"Does Tony do his running on the playground in the morning?\"\n },\n {\n \"78459\": \"Is Gray out of shape?\"\n },\n {\n \"78460\": \"Do some of the students eat meat?\"\n },\n {\n \"78461\": \"Why is Sally fat?\"\n },\n {\n \"78462\": \"What do the girls play twice a week?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78445\",\n \"answer\": \"Sally\"\n },\n {\n \"question_id\": \"78446\",\n \"answer\": \"45 students\"\n },\n {\n \"question_id\": \"78447\",\n \"answer\": \"Gray is\"\n },\n {\n \"question_id\": \"78448\",\n \"answer\": \"three times a month\"\n },\n {\n \"question_id\": \"78449\",\n \"answer\": \"Tony\"\n },\n {\n \"question_id\": \"78450\",\n \"answer\": \"30 minutes\"\n },\n {\n \"question_id\": \"78451\",\n \"answer\": \"70%\"\n },\n {\n \"question_id\": \"78452\",\n \"answer\": \"I'm going to lose weight tomorrow\"\n },\n {\n \"question_id\": \"78453\",\n \"answer\": \"36 students\"\n },\n {\n \"question_id\": \"78454\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78455\",\n \"answer\": \"twice a week.\"\n },\n {\n \"question_id\": \"78456\",\n \"answer\": \"three times a week\"\n },\n {\n \"question_id\": \"78457\",\n \"answer\": \"junk food\"\n },\n {\n \"question_id\": \"78458\",\n \"answer\": \"every evening\"\n },\n {\n \"question_id\": \"78459\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78460\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78461\",\n \"answer\": \"she doesn't like to exercise\"\n },\n {\n \"question_id\": \"78462\",\n \"answer\": \"volleyball\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIV \n\nA CAPTURE AND A SURPRISE \n\nThe others were much astonished by what Tom said, and they could scarcely believe that they had heard aright. \n\n\"Bill Dangler!\" cried Sam, but Tom put his hand over his brother's mouth to silence him. Then he nodded vigorously. \n\n\"What would that freight thief be doing here?\" questioned Dick, in a whisper. \n\n\"I am sure I don't know. But I am almost certain it was Dangler's voice. If you will remember, it has a certain shrillness to it.\" \n\n\"Yes, I know that.\" \n\nDuring this talk there were murmurs in the cabin which those outside could not understand. Then the old man came towards the door and slipped a bolt into place. \n\n\"I want you to go away!\" he said sharply. \"I don't like strangers around here.\" \n\n\"We won't hurt you, Mr. Derringham,\" said Dick. \"We came to pay you a friendly visit.\" \n\n\"Wouldn't you like a nice rabbit from us?\" asked Tom, bound to get into the cabin somehow. \n\n\"I have no money with which to buy rabbits.\" \n\n\"We'll make you a present of one,\" said Sam. \n\n\"I want no presents from anybody. I want you to go away,\" said the old man, in a high-pitched, nervous tone. \n\n\"Mr. Derringham, don't you remember me?\" asked Jack Ness. \"I used to buy herbs and watercress from you. I'd like to speak to you for a minute.\" \n\n\"Who are you?\" \n\n\"I am Jack Ness, the man who works over on the Rover farm.\" \n\n\"The Rover farm!\" muttered a voice in the cabin. \"Don't let them in! Don't you do it!\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70757\": \"Who were brothers?\"\n },\n {\n \"70758\": \"Who was a thief?\"\n },\n {\n \"70759\": \"What kind?\"\n },\n {\n \"70760\": \"Is he close by?\"\n },\n {\n \"70761\": \"How do they know?\"\n },\n {\n \"70762\": \"Did they see him?\"\n },\n {\n \"70763\": \"Who was inside the cabin?\"\n },\n {\n \"70764\": \"What was his name?\"\n },\n {\n \"70765\": \"What did he do to the door?\"\n },\n {\n \"70766\": \"Did Dick want to hurt him?\"\n },\n {\n \"70767\": \"What did the old man tell them to do?\"\n },\n {\n \"70768\": \"What did they offer him?\"\n },\n {\n \"70769\": \"Who else was with the two brothers?\"\n },\n {\n \"70770\": \"Who was from the Rover farm?\"\n },\n {\n \"70771\": \"Did he know the old man?\"\n },\n {\n \"70772\": \"How?\"\n },\n {\n \"70773\": \"What did he ask of the old man?\"\n },\n {\n \"70774\": \"Did he want to buy the rabbit?\"\n },\n {\n \"70775\": \"What did they tell him as a result?\"\n },\n {\n \"70776\": \"Did he want that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"70757\",\n \"answer\": \"Sam and Tom\"\n },\n {\n \"question_id\": \"70758\",\n \"answer\": \"Bill Dangler\"\n },\n {\n \"question_id\": \"70759\",\n \"answer\": \"freight\"\n },\n {\n \"question_id\": \"70760\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70761\",\n \"answer\": \"his voice has a shrillness to it\"\n },\n {\n \"question_id\": \"70762\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70763\",\n \"answer\": \"the old man\"\n },\n {\n \"question_id\": \"70764\",\n \"answer\": \"Mr. Derringham\"\n },\n {\n \"question_id\": \"70765\",\n \"answer\": \"slipped a bolt into place\"\n },\n {\n \"question_id\": \"70766\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70767\",\n \"answer\": \"go away\"\n },\n {\n \"question_id\": \"70768\",\n \"answer\": \"a rabbit from us\"\n },\n {\n \"question_id\": \"70769\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"70770\",\n \"answer\": \"Jack Ness\"\n },\n {\n \"question_id\": \"70771\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70772\",\n \"answer\": \"he used to buy herbs and watercress from him\"\n },\n {\n \"question_id\": \"70773\",\n \"answer\": \"to speak to him\"\n },\n {\n \"question_id\": \"70774\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70775\",\n \"answer\": \"They would make him a present of one\"\n },\n {\n \"question_id\": \"70776\",\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 V \n\nAT NIAGARA FALLS \n\n\"See here, I want you to let me alone!\" stormed Nat Poole, and he tried to jerk himself free. \n\n\"Listen, Nat,\" said Dave, sternly. \"If you make a noise it will be the worse for you, for it will bring the others here, and then we'll tell about what you tried to do. Maybe Mrs. Wadsworth will call an officer, and anyway all the girls and the boys will be down on you. Now, if you want Phil and me to keep this a secret, you've got to come along with us.\" \n\n\"Where to?\" grumbled Nat, doggedly. \n\n\"You'll soon see,\" returned Dave, briefly, and with a wink at his chum. \n\nSomewhat against his will, Nat walked toward the end of the garden. He wished to escape from Mrs. Wadsworth and the others, but he was afraid Dave and Phil contemplated doing something disagreeable to him. Maybe they would give him a sound thrashing. \n\n\"Don't you touch me--don't you dare!\" he cried, when the barn was readied. \"Remember, my father can have you locked up, Dave Porter!\" \n\n\"Well, don't forget what Professor Potts can do to you, Nat,\" answered Dave. \n\n\"What are you going to do?\" asked Phil, in an aside to his chum. \n\nDave was trying to think. He had been half of a mind to lock Nat in the harness closet until the party was over--thus preventing him from making more trouble. Now, however, as he heard a locomotive whistle, a new thought struck him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92113\": \"Which chapter is this?\"\n },\n {\n \"92114\": \"Where does it take place?\"\n },\n {\n \"92115\": \"Did Nat do something somewhat against his will?\"\n },\n {\n \"92116\": \"Did he want to be let alone?\"\n },\n {\n \"92117\": \"Who spoke to him sternly?\"\n },\n {\n \"92118\": \"Who might call an officer?\"\n },\n {\n \"92119\": \"Who will help keep the secret with Dave?\"\n },\n {\n \"92120\": \"What did Nat think they were going to give him?\"\n },\n {\n \"92121\": \"Were they going to murder Nat?\"\n },\n {\n \"92122\": \"What can Nat's father do to Dave Porter?\"\n },\n {\n \"92123\": \"Who did Dave threaten Nat with in return?\"\n },\n {\n \"92124\": \"Where did he consider locking Nat up?\"\n },\n {\n \"92125\": \"For how long?\"\n },\n {\n \"92126\": \"What gave him a new thought?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92113\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"92114\",\n \"answer\": \"NIAGARA FALLS\"\n },\n {\n \"question_id\": \"92115\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92116\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92117\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"92118\",\n \"answer\": \"Mrs. Wadsworth\"\n },\n {\n \"question_id\": \"92119\",\n \"answer\": \"Phil\"\n },\n {\n \"question_id\": \"92120\",\n \"answer\": \"a sound thrashing.\"\n },\n {\n \"question_id\": \"92121\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92122\",\n \"answer\": \"Have him locked up\"\n },\n {\n \"question_id\": \"92123\",\n \"answer\": \"Professor Potts\"\n },\n {\n \"question_id\": \"92124\",\n \"answer\": \"the harness closet\"\n },\n {\n \"question_id\": \"92125\",\n \"answer\": \"until the party was over\"\n },\n {\n \"question_id\": \"92126\",\n \"answer\": \"a locomotive whistle\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Edmonds, Washington (CNN) -- For Michael Reagan, the portraits always start the same way. \n\n\"I do the eyes first so I get this connection with the face,\" he said. \"I am pretty exhausted after a picture. Just try staring at a photograph for five hours without any distractions.\" \n\nReagan, a professional artist for 40 years, is known for his vivid etchings of politicians, celebrities and athletes. \n\nToday, he has a new subject: fallen members of the military. \n\nIt all started three years ago when the wife of a Navy corpsman who was killed in Iraq asked Reagan to draw her late husband. \n\nReagan insisted on doing the portrait for free. Then he had a realization. \n\n\"I looked at my wife and told her what happened and said, 'Now we need to do them all,' \" Reagan remembered. \n\n\"Doing them all\" meant closing his art gallery and reaching out to the families of fallen service members. \n\nMost of the troops Reagan draws are U.S. service members killed in Iraq and Afghanistan. He has recently started drawing portraits for family members of British and Canadian troops killed in those conflicts. \n\nMany families were unsure why someone would offer to do a portrait for them at no cost. They wanted to know why someone would volunteer to, as Reagan puts it, \"participate in the worst time of their life.\" \n\nSlowly, word among military families spread and requests for portraits began pouring in. Reagan, a Vietnam veteran, grew to know the faces of hundreds of troops lost to war. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46705\": \"How long has Reagan been an artist?\"\n },\n {\n \"46706\": \"What is his new subject?\"\n },\n {\n \"46707\": \"How do the portraits start for Reagan?\"\n },\n {\n \"46708\": \"Did it all start 5 years ago?\"\n },\n {\n \"46709\": \"How long ago did it start?\"\n },\n {\n \"46710\": \"What are most of the troops Reagan draws?\"\n },\n {\n \"46711\": \"Has he drawn portraits for troops from other places?\"\n },\n {\n \"46712\": \"Where were they from?\"\n },\n {\n \"46713\": \"What are most families unsure of with him?\"\n },\n {\n \"46714\": \"Is Reagan a veteran?\"\n },\n {\n \"46715\": \"Of which war?\"\n },\n {\n \"46716\": \"Who first asked Reagan to draw her late husband?\"\n },\n {\n \"46717\": \"Did he draw the picture for free?\"\n },\n {\n \"46718\": \"What was his realization?\"\n },\n {\n \"46719\": \"What is Reagan known for?\"\n },\n {\n \"46720\": \"Does he feel energized after a picture?\"\n },\n {\n \"46721\": \"How does he feel?\"\n },\n {\n \"46722\": \"Did he keep his art gallery open?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46705\",\n \"answer\": \"40 years\"\n },\n {\n \"question_id\": \"46706\",\n \"answer\": \"fallen members of the military\"\n },\n {\n \"question_id\": \"46707\",\n \"answer\": \"He does the eyes first.\"\n },\n {\n \"question_id\": \"46708\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46709\",\n \"answer\": \"three years ago\"\n },\n {\n \"question_id\": \"46710\",\n \"answer\": \"U.S. service members killed in Iraq and Afghanistan\"\n },\n {\n \"question_id\": \"46711\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46712\",\n \"answer\": \"Britain and Canada\"\n },\n {\n \"question_id\": \"46713\",\n \"answer\": \"why he would offer a free portrait\"\n },\n {\n \"question_id\": \"46714\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46715\",\n \"answer\": \"Vietnam\"\n },\n {\n \"question_id\": \"46716\",\n \"answer\": \"the wife of a Navy corpsman\"\n },\n {\n \"question_id\": \"46717\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46718\",\n \"answer\": \"That he needed to do them all\"\n },\n {\n \"question_id\": \"46719\",\n \"answer\": \"for his vivid etchings of politicians, celebrities and athletes.\"\n },\n {\n \"question_id\": \"46720\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"46721\",\n \"answer\": \"exhausted\"\n },\n {\n \"question_id\": \"46722\",\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 Oil is plentiful in West Texas. When people think of West Texas they think of these machines called \"pump-jacks.\" A pump-jack is a machine that pulls Oil out of the Earth. Robert's job is to fix pump-jacks. So he travels to West Texas to see if he can help. Steve owns many pump-jacks and is having a very tough time keeping them working. During the summer in West Texas the temperature can be over 100, which causes these machines to break often. Robert runs into Steve at a restaurant on a very hot day. After they talked about the weather for a few seconds, Steve says \"my machines keep breaking because of this heat!\" Robert says \"Steve, I think you and I are both in luck because I fix pump-jacks.\" Immediately, they both travel out to Steve's land and Robert gets to work!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85684\": \"What is there a lot of in West Texas?\"\n },\n {\n \"85685\": \"What gets oil out of the Earth?\"\n },\n {\n \"85686\": \"Who fixes it?\"\n },\n {\n \"85687\": \"Who has a lot of pump jacks?\"\n },\n {\n \"85688\": \"Is he having issues with the equipment working?\"\n },\n {\n \"85689\": \"Why?\"\n },\n {\n \"85690\": \"Who does he meet at the diner?\"\n },\n {\n \"85691\": \"What did they chat about?\"\n },\n {\n \"85692\": \"Do they figure out a solution over the broken machines?\"\n },\n {\n \"85693\": \"How soon do they go to the land after meeting?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85684\",\n \"answer\": \"Oil.\"\n },\n {\n \"question_id\": \"85685\",\n \"answer\": \"A pump-jack.\"\n },\n {\n \"question_id\": \"85686\",\n \"answer\": \"Robert.\"\n },\n {\n \"question_id\": \"85687\",\n \"answer\": \"Steve.\"\n },\n {\n \"question_id\": \"85688\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"85689\",\n \"answer\": \"Because the temperature is often over 100, which causes them to break.\"\n },\n {\n \"question_id\": \"85690\",\n \"answer\": \"Steve.\"\n },\n {\n \"question_id\": \"85691\",\n \"answer\": \"The weather.\"\n },\n {\n \"question_id\": \"85692\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"85693\",\n \"answer\": \"Immediately.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Houston, Texas (CNN) -- Alexander Reyes' boyhood dream of a military career ended when he was hit by an improvised explosive device during a patrol two years ago in Baghdad. \n\n\"Laying in that hospital bed ... sometimes I felt I'd rather [have] died,\" Reyes said. \"My life came to a complete halt.\" \n\nReyes sustained severe blast injuries that led to his medical discharge; he's on 100 percent medical disability. Like many soldiers wounded in Iraq and Afghanistan, Reyes, now 24, found the transition to civilian life difficult. \n\nBut he and a handful of other injured veterans are getting help from what may seem an unlikely source: a custom home builder in Houston, Texas. \n\nDan Wallrath recently presented Reyes and his wife with an unexpected gift: a home built especially for them, mortgage-free. \n\n\"Thank you. That's all I can say,\" Elizabeth Reyes said, sobbing and clutching her stunned husband's arm as Wallrath surprised them with the house. \n\nFor Wallrath, giving wounded veterans a place to call home is his way of saying thanks. Since 2005, his organization has built four houses. Five more are under construction, and he's expanding his idea into a national campaign called Operation Finally Home. \n\nDo you know a hero? Nominations are open for 2010 CNN Heroes \n\nWallrath spent 30 years making upscale clients' dream houses a reality. But he found a new mission in 2005 when he met with Steve Schulz about a very different type of project. \n\nSchulz's 20-year old son, a U.S. Marine, had been gravely injured in Iraq. Schulz desperately needed to remodel his house to accommodate his son's wheelchair. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78270\": \"who was injured by an explosive device?\"\n },\n {\n \"78271\": \"who helped him?\"\n },\n {\n \"78272\": \"how?\"\n },\n {\n \"78273\": \"how long has he been doing that?\"\n },\n {\n \"78274\": \"where does he reside?\"\n },\n {\n \"78275\": \"how did Reyes feel after the injury?\"\n },\n {\n \"78276\": \"where was he injured?\"\n },\n {\n \"78277\": \"is he on medical disablity?\"\n },\n {\n \"78278\": \"how did Elizabeth feel about the gift?\"\n },\n {\n \"78279\": \"who is she?\"\n },\n {\n \"78280\": \"does Wallrath have other plans?\"\n },\n {\n \"78281\": \"what is one of them?\"\n },\n {\n \"78282\": \"any others?\"\n },\n {\n \"78283\": \"did he make different types of projects?\"\n },\n {\n \"78284\": \"what was it?\"\n },\n {\n \"78285\": \"for whom?\"\n },\n {\n \"78286\": \"what happened to him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78270\",\n \"answer\": \"Alexander Reyes\"\n },\n {\n \"question_id\": \"78271\",\n \"answer\": \"Dan Wallrath\"\n },\n {\n \"question_id\": \"78272\",\n \"answer\": \"gave him a free home\"\n },\n {\n \"question_id\": \"78273\",\n \"answer\": \"Since 2005\"\n },\n {\n \"question_id\": \"78274\",\n \"answer\": \"Houston\"\n },\n {\n \"question_id\": \"78275\",\n \"answer\": \"he'd rather have died\"\n },\n {\n \"question_id\": \"78276\",\n \"answer\": \"Baghdad\"\n },\n {\n \"question_id\": \"78277\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78278\",\n \"answer\": \"thankful\"\n },\n {\n \"question_id\": \"78279\",\n \"answer\": \"Alexander's wife\"\n },\n {\n \"question_id\": \"78280\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78281\",\n \"answer\": \"Operation Finally Home\"\n },\n {\n \"question_id\": \"78282\",\n \"answer\": \"building five more homes\"\n },\n {\n \"question_id\": \"78283\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78284\",\n \"answer\": \"making a home wheelchair accessible\"\n },\n {\n \"question_id\": \"78285\",\n \"answer\": \"a 20-year old Marine\"\n },\n {\n \"question_id\": \"78286\",\n \"answer\": \"injured in Iraq\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 newspaper's circulation is the number of copies it distributes on an average day. Circulation is one of the principal factors used to set advertising rates. Circulation is not always the same as copies sold, often called paid circulation, since some newspapers are distributed without cost to the reader. Readership figures are usually higher than circulation figures because of the assumption that a typical copy of the newspaper is read by more than one person. \n\nIn many countries, circulations are audited by independent bodies such as the Audit Bureau of Circulations to assure advertisers that a given newspaper does indeed reach the number of people claimed by the publisher. There are international open access directories such as \"Mondo Times\", but these generally rely on numbers reported by newspapers themselves. \n\nIn many developed countries, newspaper circulation is falling due to social and technological changes such as the availability of news on the internet. On the other hand, in some developing countries circulation is increasing as these factors are more than cancelled out by rising incomes, population, and literacy. \n\nThe World Association of Newspapers and News Publishers (WAN-IFRA) publishes a list of newspapers with the largest circulation. In 2011, India led the world in terms of newspaper circulation with nearly 330 million newspapers circulated daily. In 2005, China topped the list in term of total newspaper circulation with 93.5 million a day, India came second with 78.8 million, followed by Japan, with 70.4 million; the United States, with 48.3 million; and Germany, with 22.1 million. Around 75 of the 100 best selling newspapers are in Asia and seven out of top ten are Japanese newspapers.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91987\": \"What does WAN-IFRA stand for?\"\n },\n {\n \"91988\": \"Do they publish newspapers?\"\n },\n {\n \"91989\": \"What do they publish?\"\n },\n {\n \"91990\": \"Who published the most in 2005\"\n },\n {\n \"91991\": \"In what year did India lead?\"\n },\n {\n \"91992\": \"did they circulate more or less than 400 million?\"\n },\n {\n \"91993\": \"Where are most of the most successful newspapers sold?\"\n },\n {\n \"91994\": \"Are circulations ever audited?\"\n },\n {\n \"91995\": \"Who does the auditing?\"\n },\n {\n \"91996\": \"What's an example of one?\"\n },\n {\n \"91997\": \"Does circulation always mean copies sold?\"\n },\n {\n \"91998\": \"What is the definition of circulation?\"\n },\n {\n \"91999\": \"Does it play a role in the cost of advertising?\"\n },\n {\n \"92000\": \"Are readership and circulation numbers usually the same?\"\n },\n {\n \"92001\": \"Are newspaper circulation rates dropping anywhere?\"\n },\n {\n \"92002\": \"where?\"\n },\n {\n \"92003\": \"are they increasing anywhere?\"\n },\n {\n \"92004\": \"in what countries?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91987\",\n \"answer\": \"World Association of Newspapers and News Publishers\"\n },\n {\n \"question_id\": \"91988\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"91989\",\n \"answer\": \"a list of newspapers\"\n },\n {\n \"question_id\": \"91990\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"91991\",\n \"answer\": \"2011\"\n },\n {\n \"question_id\": \"91992\",\n \"answer\": \"Less.\"\n },\n {\n \"question_id\": \"91993\",\n \"answer\": \"Asia\"\n },\n {\n \"question_id\": \"91994\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"91995\",\n \"answer\": \"independent bodies\"\n },\n {\n \"question_id\": \"91996\",\n \"answer\": \"Audit Bureau of Circulations\"\n },\n {\n \"question_id\": \"91997\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"91998\",\n \"answer\": \"number of copies distributed on an average day\"\n },\n {\n \"question_id\": \"91999\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"92000\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"92001\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"92002\",\n \"answer\": \"many developed countries\"\n },\n {\n \"question_id\": \"92003\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"92004\",\n \"answer\": \"developing countries\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Queens is the easternmost and largest in area of the five boroughs of New York City. It is geographically adjacent to the borough of Brooklyn at the southwestern end of Long Island, and to Nassau County farther east on Long Island; in addition, Queens shares water borders with the boroughs of Manhattan and the Bronx. Coterminous with Queens County since 1899, the borough of Queens is the second-largest in population (after Brooklyn), with a census-estimated 2,333,054 residents in 2016, approximately 48% of them foreign-born. Queens County also is the second-most populous county in the U.S. state of New York, behind the neighboring borough of Brooklyn, which is coterminous with Kings County. Queens is the fourth-most densely populated county among New York City's boroughs, as well as in the United States. If each of New York City's boroughs were an independent city, Queens also would be the nation's fourth most populous, after Los Angeles, Chicago, and Brooklyn. Queens is the most ethnically diverse urban area in the world. \n\nQueens was established in 1683 as one of the original 12 counties of New York. It is presumably named for the Portuguese Princess Catherine of Braganza (1638–1705), Queen of England, Scotland, and Ireland. It became a borough of New York City in 1898, and from 1683 until 1899, the County of Queens included what is now Nassau County.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75078\": \"When was Queens founded?\"\n },\n {\n \"75079\": \"How many counties were there, then?\"\n },\n {\n \"75080\": \"They were the first 12?\"\n },\n {\n \"75081\": \"Who was it named after?\"\n },\n {\n \"75082\": \"Was she English?\"\n },\n {\n \"75083\": \"Where was she from?\"\n },\n {\n \"75084\": \"When did she die?\"\n },\n {\n \"75085\": \"Where all did she rule?\"\n },\n {\n \"75086\": \"When did Queens become part of New York City?\"\n },\n {\n \"75087\": \"Geographically, where is Queens located in New York City?\"\n },\n {\n \"75088\": \"Which side of the city?\"\n },\n {\n \"75089\": \"How does it rank in size?\"\n },\n {\n \"75090\": \"How about in area?\"\n },\n {\n \"75091\": \"How many foreigners live there?\"\n },\n {\n \"75092\": \"Which town is next largest in New York?\"\n },\n {\n \"75093\": \"Is it ethnically diverse?\"\n },\n {\n \"75094\": \"Where does it rank in the world?\"\n },\n {\n \"75095\": \"What does it share a water border with?\"\n },\n {\n \"75096\": \"How long has it been coterminous with Queens County?\"\n },\n {\n \"75097\": \"When did Queens County have Nassau County included with it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"75078\",\n \"answer\": \"1683\"\n },\n {\n \"question_id\": \"75079\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"75080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75081\",\n \"answer\": \"Princess Catherine\"\n },\n {\n \"question_id\": \"75082\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75083\",\n \"answer\": \"Portugal\"\n },\n {\n \"question_id\": \"75084\",\n \"answer\": \"1705\"\n },\n {\n \"question_id\": \"75085\",\n \"answer\": \"England, Scotland, and Ireland\"\n },\n {\n \"question_id\": \"75086\",\n \"answer\": \"1898\"\n },\n {\n \"question_id\": \"75087\",\n \"answer\": \"adjacent to the borough of Brooklyn\"\n },\n {\n \"question_id\": \"75088\",\n \"answer\": \"southwestern\"\n },\n {\n \"question_id\": \"75089\",\n \"answer\": \"second-most populous\"\n },\n {\n \"question_id\": \"75090\",\n \"answer\": \"largest in area\"\n },\n {\n \"question_id\": \"75091\",\n \"answer\": \"48%\"\n },\n {\n \"question_id\": \"75092\",\n \"answer\": \"Brooklyn\"\n },\n {\n \"question_id\": \"75093\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"75094\",\n \"answer\": \"the most ethnically diverse urban area\"\n },\n {\n \"question_id\": \"75095\",\n \"answer\": \"Manhattan\"\n },\n {\n \"question_id\": \"75096\",\n \"answer\": \"since 1899\"\n },\n {\n \"question_id\": \"75097\",\n \"answer\": \"1899\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n North America is a continent entirely within the Northern Hemisphere and almost all within the Western Hemisphere; it is also considered by some to be a northern subcontinent of the Americas. It is bordered to the north by the Arctic Ocean, to the east by the Atlantic Ocean, to the west and south by the Pacific Ocean, and to the southeast by South America and the Caribbean Sea. \n\nNorth America covers an area of about 24,709,000 square kilometers (9,540,000 square miles), about 16.5% of the earth's land area and about 4.8% of its total surface. North America is the third largest continent by area, following Asia and Africa, and the fourth by population after Asia, Africa, and Europe. In 2013, its population was estimated at nearly 565 million people in 23 independent states, or about 7.5% of the world's population, if nearby islands (most notably the Caribbean) are included. \n\nNorth America was reached by its first human populations during the last glacial period, via crossing the Bering land bridge approximately 40,000 to 17,000 years ago. The so-called Paleo-Indian period is taken to have lasted until about 10,000 years ago (the beginning of the Archaic or Meso-Indian period). The Classic stage spans roughly the 6th to 13th centuries. The Pre-Columbian era ended with the transatlantic migrations and the arrival of European settlers during the Age of Discovery and the Early Modern period. Present-day cultural and ethnic patterns reflect different kind of interactions between European colonists, indigenous peoples, African slaves and their descendants.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51857\": \"When did people first come to North America?\"\n },\n {\n \"51858\": \"How long ago was that?\"\n },\n {\n \"51859\": \"How did they get there?\"\n },\n {\n \"51860\": \"Where does it rank among the continents by size?\"\n },\n {\n \"51861\": \"And by number of people?\"\n },\n {\n \"51862\": \"Which are bigger?\"\n },\n {\n \"51863\": \"And which are more populous?\"\n },\n {\n \"51864\": \"How many bodies of water surround it?\"\n },\n {\n \"51865\": \"Name one of them.\"\n },\n {\n \"51866\": \"What direction is that in from North America?\"\n },\n {\n \"51867\": \"Is there a large landmass in that direction?\"\n },\n {\n \"51868\": \"What is it called?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51857\",\n \"answer\": \"during the last glacial period\"\n },\n {\n \"question_id\": \"51858\",\n \"answer\": \"approximately 40,000 to 17,000 years ago\"\n },\n {\n \"question_id\": \"51859\",\n \"answer\": \"the Bering land bridge\"\n },\n {\n \"question_id\": \"51860\",\n \"answer\": \"third largest\"\n },\n {\n \"question_id\": \"51861\",\n \"answer\": \"fourth\"\n },\n {\n \"question_id\": \"51862\",\n \"answer\": \"Asia, Africa, and Europe\"\n },\n {\n \"question_id\": \"51863\",\n \"answer\": \"Asia, Africa, and Europe.\"\n },\n {\n \"question_id\": \"51864\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"51865\",\n \"answer\": \"Caribbean Sea\"\n },\n {\n \"question_id\": \"51866\",\n \"answer\": \"southeast\"\n },\n {\n \"question_id\": \"51867\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51868\",\n \"answer\": \"South America\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Jenny and Henry were born on the same day and they look the same. Their father is a taxi driver and he is busy all the time. He goes out early in the morning, but comes back when his children are sleeping in bed. He makes a lot of money but he doesn't talk with them about their study. The two children study in the same class. Jenny works hard at her lessons, but her brother likes nothing but playing. He is not good at writing compositions . One day Mrs. Cook told her class to write a composition \"My Mother\". After supper Jenny wrote one in her exercise book and then went to help her mother to do some housework. But Henry went to play football. When night fell, he came back to watch TV until the TV play was over. And he took off his clothes and went to bed, he remembered the composition and had to go to the sitting room again. But he didn't know how to write it. He thought hard and at last he found a way. He found Jenny's schoolbag and brought out her exercise book and copied her composition. Two days later Mrs. Cook asked Henry, \"Can you tell me why your composition is the same as Jenny's?\" \"Yes, I can, madam,\" answered Henry. \"We have the same mother. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98707\": \"Who is Henry's twin?\"\n },\n {\n \"98708\": \"Do they go to school together?\"\n },\n {\n \"98709\": \"How does Jenny approach her schoolwork?\"\n },\n {\n \"98710\": \"Does Henry do the same?\"\n },\n {\n \"98711\": \"What are they assigned for homework?\"\n },\n {\n \"98712\": \"About what?\"\n },\n {\n \"98713\": \"When did Jenny do the assignment?\"\n },\n {\n \"98714\": \"What about Henry?\"\n },\n {\n \"98715\": \"What did his teacher ask him?\"\n },\n {\n \"98716\": \"What excuse did he give?\"\n },\n {\n \"98717\": \"Was that really why?\"\n },\n {\n \"98718\": \"What was the real reason?\"\n },\n {\n \"98719\": \"Why didn't he write his own?\"\n },\n {\n \"98720\": \"Did he struggle with writing it?\"\n },\n {\n \"98721\": \"Why?\"\n },\n {\n \"98722\": \"Where did he find his sister's work?\"\n },\n {\n \"98723\": \"Do they have a dad?\"\n },\n {\n \"98724\": \"Why doesn't he check their schoolwork?\"\n },\n {\n \"98725\": \"Why not?\"\n },\n {\n \"98726\": \"Doing what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98707\",\n \"answer\": \"Jenny and Henry\"\n },\n {\n \"question_id\": \"98708\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98709\",\n \"answer\": \"she works hard\"\n },\n {\n \"question_id\": \"98710\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98711\",\n \"answer\": \"write a composition\"\n },\n {\n \"question_id\": \"98712\",\n \"answer\": \"My Mother\"\n },\n {\n \"question_id\": \"98713\",\n \"answer\": \"After supper\"\n },\n {\n \"question_id\": \"98714\",\n \"answer\": \"Henry went to play football.\"\n },\n {\n \"question_id\": \"98715\",\n \"answer\": \"why his composition was the same as Jenny's\"\n },\n {\n \"question_id\": \"98716\",\n \"answer\": \"they have the same mother\"\n },\n {\n \"question_id\": \"98717\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98718\",\n \"answer\": \"he copied her composition.\"\n },\n {\n \"question_id\": \"98719\",\n \"answer\": \"he went to play football then watched TV\"\n },\n {\n \"question_id\": \"98720\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98721\",\n \"answer\": \"He is not good at it\"\n },\n {\n \"question_id\": \"98722\",\n \"answer\": \"in her schoolbag\"\n },\n {\n \"question_id\": \"98723\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98724\",\n \"answer\": \"he doesn't talk with them about their study\"\n },\n {\n \"question_id\": \"98725\",\n \"answer\": \"he is busy all the time.\"\n },\n {\n \"question_id\": \"98726\",\n \"answer\": \"he is a taxi driver\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Liverpool is famed for many things -- most especially The Beatles and its football team. But few would associate the city with one of the most famous political speeches in history. Yet tourism officials in the city have published the claim that Martin Luther King's \"I Have a Dream\" was written at a city centre hotel. The allegation has been made in a guide to a major art event named Liverpool Discovers. \n\nA map in the guide shows more than 20 locations where famous people were born along with places associated with celebrities and events in their life. The guide claims, \"Martin Luther King visited his supporters in Liverpool three times, and the first draft of his famous speech 'I Have a Dream' is claimed to have been written at Adelphi Hotel.\" The speech, delivered to civil rights campaigners on the steps of the Lincoln Memorial in Washington in 1963, is one of the most quoted texts in history and was a definitive moment in the American Civil Rights Movement and in the fight for racial equality. \n\nDr. King's biographer, Godfrey Hodgson, said that the suggestion did not fit the facts. He said, \"I don't believe it. If he had been to Liverpool, there would have been massive media reports, as he would have been a big figure by then. Dr. King did visit the UK on a number of occasions but he was not in the UK around the time of this famous speech in 1963.\"Prof. John Belcham, a history lecturer of University of Liverpool who wrote an 800year history of Liverpool in 2008, confirmed that he was unaware of any connection between Dr. King and the city.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39071\": \"Where was Martin Luther King purported to have written his speech?\"\n },\n {\n \"39072\": \"More specifically?\"\n },\n {\n \"39073\": \"What made the claim?\"\n },\n {\n \"39074\": \"What function is the guide assoiated with?\"\n },\n {\n \"39075\": \"What speech was the claim about?\"\n },\n {\n \"39076\": \"Was it actually written there?\"\n },\n {\n \"39077\": \"Who doubted the claim?\"\n },\n {\n \"39078\": \"What's his name?\"\n },\n {\n \"39079\": \"What's a reason why he doubted it?\"\n },\n {\n \"39080\": \"Who else doubted the claim?\"\n },\n {\n \"39081\": \"What makes him an authority on the subject?\"\n },\n {\n \"39082\": \"Did MLK ever visit Liverpool?\"\n },\n {\n \"39083\": \"What football team is the city famous for?\"\n },\n {\n \"39084\": \"What band is it famous for?\"\n },\n {\n \"39085\": \"Is the city involved with the claim?\"\n },\n {\n \"39086\": \"How so?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39071\",\n \"answer\": \"Liverpool\"\n },\n {\n \"question_id\": \"39072\",\n \"answer\": \"Adelphi Hotel\"\n },\n {\n \"question_id\": \"39073\",\n \"answer\": \"a guide to a major art event\"\n },\n {\n \"question_id\": \"39074\",\n \"answer\": \"Liverpool Discovers.\"\n },\n {\n \"question_id\": \"39075\",\n \"answer\": \"I Have a Dream\"\n },\n {\n \"question_id\": \"39076\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39077\",\n \"answer\": \"Dr. King's biographer\"\n },\n {\n \"question_id\": \"39078\",\n \"answer\": \"Godfrey Hodgson\"\n },\n {\n \"question_id\": \"39079\",\n \"answer\": \"there would have been massive media reports\"\n },\n {\n \"question_id\": \"39080\",\n \"answer\": \"Prof. John Belcham\"\n },\n {\n \"question_id\": \"39081\",\n \"answer\": \"wrote an 800year history of Liverpool in 2008\"\n },\n {\n \"question_id\": \"39082\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39083\",\n \"answer\": \"Liverpool FC\"\n },\n {\n \"question_id\": \"39084\",\n \"answer\": \"The Beatles\"\n },\n {\n \"question_id\": \"39085\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39086\",\n \"answer\": \"tourism officials in the city have published the claim that Martin Luther King's \\\"I Have a Dream\\\" was written at a city centre hotel\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. THE TENTH OF MAY \n\nWould the sons of the first families surrender, \"Never!\" cried a young lady who sat behind the blinds in Mrs. Catherwood's parlor. It seemed to her when she stopped to listen for the first guns of the coming battle that the tumult in her heart would drown their roar. \n\n\"But, Jinny,\" ventured that Miss Puss Russell who never feared to speak her mind, \"it would be folly for them to fight. The Dutch and Yankees outnumber them ten to one, and they haven't any powder and bullets.\" \n\n\"And Camp Jackson is down in a hollow,\" said Maude Catherwood, dejectedly. And yet hopefully, too, for at the thought of bloodshed she was near to fainting. \n\n\"Oh,\" exclaimed Virginia, passionately, \"I believe you want them to surrender. I should rather see Clarence dead than giving his sword to a Yankee.\" \n\nAt that the other two were silent again, and sat on through an endless afternoon of uncertainty and hope and dread in the darkened room. Now and anon Mr. Catherwood's heavy step was heard as he paced the hall. From time to time they glanced at Virginia, as if to fathom her thought. She and Puss Russell had come that day to dine with Maude. Mr. Catherwood's Ben, reeking of the stable, had brought the rumor of the marching on the camp into the dining-room, and close upon the heels of this the rumble of the drums and the passing of Sigel's regiment. It was Virginia who had the presence of mind to slam the blinds in the faces of the troops, and the crowd had cheered her. It was Virginia who flew to the piano to play Dixie ere they could get by, to the awe and admiration of the girls and the delight of Mr. Catherwood who applauded her spirit despite the trouble which weighed upon him. Once more the crowd had cheered,--and hesitated. But the Dutch regiment slouched on, impassive, and the people followed. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65862\": \"What is the name of the young lady in this passage?\"\n },\n {\n \"65863\": \"Who would never surrender?\"\n },\n {\n \"65864\": \"What was the young lady listening for?\"\n },\n {\n \"65865\": \"What did the sound of guns mean?\"\n },\n {\n \"65866\": \"Who reeked of the stable?\"\n },\n {\n \"65867\": \"What did he bring?\"\n },\n {\n \"65868\": \"Who was cheered for?\"\n },\n {\n \"65869\": \"What did she do?\"\n },\n {\n \"65870\": \"Anything else?\"\n },\n {\n \"65871\": \"Did her actions cause the army to stop marching?\"\n },\n {\n \"65872\": \"Who was dining with Maude that day?\"\n },\n {\n \"65873\": \"Anyone else?\"\n },\n {\n \"65874\": \"What is the setting of this passage?\"\n },\n {\n \"65875\": \"Where is Camp Jackson located?\"\n },\n {\n \"65876\": \"Are the sons of the first families likely to win?\"\n },\n {\n \"65877\": \"How outnumbered are they?\"\n },\n {\n \"65878\": \"What do they lack?\"\n },\n {\n \"65879\": \"Who is pacing during this time?\"\n },\n {\n \"65880\": \"Where at?\"\n },\n {\n \"65881\": \"Who never feared to speak her mind?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65862\",\n \"answer\": \"Maude\"\n },\n {\n \"question_id\": \"65863\",\n \"answer\": \"sons of the first families\"\n },\n {\n \"question_id\": \"65864\",\n \"answer\": \"guns\"\n },\n {\n \"question_id\": \"65865\",\n \"answer\": \"A battle\"\n },\n {\n \"question_id\": \"65866\",\n \"answer\": \"Ben\"\n },\n {\n \"question_id\": \"65867\",\n \"answer\": \"rumor of the marching\"\n },\n {\n \"question_id\": \"65868\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"65869\",\n \"answer\": \"Played Dixie on the Piano\"\n },\n {\n \"question_id\": \"65870\",\n \"answer\": \"Slammed the blinds on the troops.\"\n },\n {\n \"question_id\": \"65871\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"65872\",\n \"answer\": \"Puss Russell\"\n },\n {\n \"question_id\": \"65873\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"65874\",\n \"answer\": \"Mrs. Catherwood's parlor\"\n },\n {\n \"question_id\": \"65875\",\n \"answer\": \"in a hollow\"\n },\n {\n \"question_id\": \"65876\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"65877\",\n \"answer\": \"ten to one\"\n },\n {\n \"question_id\": \"65878\",\n \"answer\": \"powder and bullets\"\n },\n {\n \"question_id\": \"65879\",\n \"answer\": \"Mr. Catherwood\"\n },\n {\n \"question_id\": \"65880\",\n \"answer\": \"the hall\"\n },\n {\n \"question_id\": \"65881\",\n \"answer\": \"Puss Russell\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there a little girl named Ana. Ana was a smart girl. Everyone in Ana's school knew and liked her very much. She had a big dream of becoming spelling bee winner. Ana studied very hard to be the best she could be at spelling. Ana's best friend would help her study every day after school. By the time the spelling bee arrived Ana and her best friend were sure she would win. There were ten students in the spelling bee. This made Ana very nervous, but when she looked out and saw her dad cheering her on she knew she could do it. The spelling bee had five rounds and Ana made it through them all. She was now in the finals. During the final round James, the boy she was in the finals with, was given a really hard word and he spelled it wrong. All Ana had to do was spell this last word and she would be the winner. Ana stepped to the microphone, thought really hard and spelled the word. She waited and finally her teacher said \"That is correct\". Ana had won the spelling bee. Ana was so happy. She won a trophy. Ana also won a big yellow ribbon. The whole school was also happy, and everyone clapped for her. The whole school went outside. They had a picnic to celebrate Ana winning.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43999\": \"What did Ana want to win?\"\n },\n {\n \"44000\": \"Did she study?\"\n },\n {\n \"44001\": \"With who?\"\n },\n {\n \"44002\": \"Was Ana smart?\"\n },\n {\n \"44003\": \"Did she think she would win?\"\n },\n {\n \"44004\": \"Was her dad there?\"\n },\n {\n \"44005\": \"How did she feel at the start?\"\n },\n {\n \"44006\": \"Why?\"\n },\n {\n \"44007\": \"Who was she in the finals with?\"\n },\n {\n \"44008\": \"Did he win?\"\n },\n {\n \"44009\": \"Did she?\"\n },\n {\n \"44010\": \"What color was the ribbon she won?\"\n },\n {\n \"44011\": \"What else did she win?\"\n },\n {\n \"44012\": \"How did she feel?\"\n },\n {\n \"44013\": \"What did everyone do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43999\",\n \"answer\": \"A spelling bee\"\n },\n {\n \"question_id\": \"44000\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"44001\",\n \"answer\": \"Her best friend.\"\n },\n {\n \"question_id\": \"44002\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"44003\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"44004\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"44005\",\n \"answer\": \"She felt nervous\"\n },\n {\n \"question_id\": \"44006\",\n \"answer\": \"There were several opponents.\"\n },\n {\n \"question_id\": \"44007\",\n \"answer\": \"James\"\n },\n {\n \"question_id\": \"44008\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"44009\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"44010\",\n \"answer\": \"It was yellow.\"\n },\n {\n \"question_id\": \"44011\",\n \"answer\": \"A trophy.\"\n },\n {\n \"question_id\": \"44012\",\n \"answer\": \"She was happy.\"\n },\n {\n \"question_id\": \"44013\",\n \"answer\": \"They clapped for her.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV. THE CAPITULATION OF ROCCALEONE \n\nIn the sunshine of that bright May morning Francesco and his men went merrily to work to possess themselves of the ducal camp, and the first business of the day was to arm those soldiers who had come out unarmed. Of weapons there was no lack, and to these they helped themselves in liberal fashion, whilst here and there a man would pause to don a haubergeon or press a steel cap on his head. \n\nThree sentries only had been left to guard the tents, and of these Fortemani and a couple of his men had made prisoners whilst the others were removing the bridge by which the invaders had entered. And now beneath the open postern by the drawbridge gaped a surging torrent that no man would have the hardihood to attempt to swim. \n\nIn that opening, presently, appeared Gian Maria, his face red for once, and behind him a clamouring crowd of men-at-arms who shared their master's rage at the manner in which they had been trapped. \n\nAt the rear of the tents Valentina and her ladies awaited the issue of the parley that now seemed toward. The bulk of the men were busy at Gian Maria's cannons, and under Francesco's supervision they were training them upon the drawbridge. \n\nFrom the castle a mighty shout went up. The men disappeared from the postern to reappear a moment later on the ramparts, and Francesco laughed deep down in his throat as he perceived the purpose of this. They had bethought them of the guns that were mounted there, and were gone to use them against Valentina's little army. Gun after gun they tried, and a fierce cry of rage burst forth when they realised by what dummies they had been held in check during the past week. This was followed by a silence of some moments, terminated at last by the sound of a bugle. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28670\": \"Was it a June evening?\"\n },\n {\n \"28671\": \"What month was it?\"\n },\n {\n \"28672\": \"Was it a sunny morning?\"\n },\n {\n \"28673\": \"Who was on their way somewhere?\"\n },\n {\n \"28674\": \"What was their assignment?\"\n },\n {\n \"28675\": \"Were there enough weapons to go around?\"\n },\n {\n \"28676\": \"How many sentries were left behind?\"\n },\n {\n \"28677\": \"Why were they left?\"\n },\n {\n \"28678\": \"Were they succesful?\"\n },\n {\n \"28679\": \"Who got in the way?\"\n },\n {\n \"28680\": \"Did someone take them captive?\"\n },\n {\n \"28681\": \"Who?\"\n },\n {\n \"28682\": \"Where were the others?\"\n },\n {\n \"28683\": \"Why?\"\n },\n {\n \"28684\": \"Who was in the opening?\"\n },\n {\n \"28685\": \"Who was following him?\"\n },\n {\n \"28686\": \"Were they happy to be there?\"\n },\n {\n \"28687\": \"Who was in the back of the tent?\"\n },\n {\n \"28688\": \"What were the men learning to use?\"\n },\n {\n \"28689\": \"What ended the silence?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"28670\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"28671\",\n \"answer\": \"May\"\n },\n {\n \"question_id\": \"28672\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28673\",\n \"answer\": \"Francesco and his men\"\n },\n {\n \"question_id\": \"28674\",\n \"answer\": \"Arm the unarmed soldiers.\"\n },\n {\n \"question_id\": \"28675\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28676\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"28677\",\n \"answer\": \"To guard the tents\"\n },\n {\n \"question_id\": \"28678\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"28679\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"28680\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28681\",\n \"answer\": \"Fortemani and a couple of his men\"\n },\n {\n \"question_id\": \"28682\",\n \"answer\": \"They were removing the bridge\"\n },\n {\n \"question_id\": \"28683\",\n \"answer\": \"That's how the invaders had entered.\"\n },\n {\n \"question_id\": \"28684\",\n \"answer\": \"Gian Maria\"\n },\n {\n \"question_id\": \"28685\",\n \"answer\": \"Several men-at-arms\"\n },\n {\n \"question_id\": \"28686\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"28687\",\n \"answer\": \"Valentina and her ladies\"\n },\n {\n \"question_id\": \"28688\",\n \"answer\": \"the cannons\"\n },\n {\n \"question_id\": \"28689\",\n \"answer\": \"The sound of a bugle\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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.com) -- When \"The Mary Tyler Moore Show\" premiered on September 19, 1970, it was almost revolutionary: the first television series focused on an independent (read: unmarried) career girl. And Mary's wardrobe was a little bit revolutionary too -- working women across the country were quick to copy her colorful dresses and wide-legged pantsuits. To celebrate the iconic program's fortieth anniversary, InStyle takes a look back at five fashionable TV shows -- and characters -- that have influenced women's at-work style. \n\n\"The Mary Tyler Moore Show'' \n\nMary Richards lived in wintry Minneapolis and therefore had no shortage of cute cold-weather staples, including double-breasted coats, knee-high boots, and that famous blue tam. But it was her 70s work-wear that most women sought: colorful scarves, two-piece suits, and bright, office-appropriate dresses. \n\nSee all 10 shows that influenced women's at-work wardrobes \n\n\"Dynasty\" \n\nOkay, so the Carrington women weren't exactly your typical 9-to-5ers. Nevertheless, the big-shouldered, wasp-waisted creations worn by oil mogul Alexis (Joan Collins) and her longtime rival Krystle (Linda Evans) were popular enough with fans that the show spawned a signature fashion line, \"The Dynasty Collection\" which was designed by the show's costumer, Nolan Miller. \n\n\"Ally McBeal\" \n\nIn 1998, shortly after the show's first season finale, Ally McBeal's disembodied head appeared on the cover of Time magazine along with the question, \"Is Feminism Dead?\" Despite the conclusions reached by that article (is it really fair to compare a fictional character to activists and thinkers like Susan B. Anthony and Gloria Steinem?), women do owe something to the flighty young lawyer played by Calista Flockhart: She almost singlehandedly made the workplace safe for bare legs, freeing us from the tyranny of mandatory pantyhose. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98757\": \"When did the show premiere?\"\n },\n {\n \"98758\": \"Who was the starring character?\"\n },\n {\n \"98759\": \"Mary who?\"\n },\n {\n \"98760\": \"Who was celebrating the show's 40th anniversary?\"\n },\n {\n \"98761\": \"Which show did they also look at that ended in 1998?\"\n },\n {\n \"98762\": \"Who was the actress that played Ally McBeal?\"\n },\n {\n \"98763\": \"What did she never wear that carried over to other women?\"\n },\n {\n \"98764\": \"What did Mary Richards wear that women adopted?\"\n },\n {\n \"98765\": \"Was Mary Tyler Moore married?\"\n },\n {\n \"98766\": \"What was the third show that InStyle looked at?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98757\",\n \"answer\": \"September 19, 1970\"\n },\n {\n \"question_id\": \"98758\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"98759\",\n \"answer\": \"Mary Tyler Moore\"\n },\n {\n \"question_id\": \"98760\",\n \"answer\": \"InStyle\"\n },\n {\n \"question_id\": \"98761\",\n \"answer\": \"Ally McBeal\"\n },\n {\n \"question_id\": \"98762\",\n \"answer\": \"Calista Flockhart\"\n },\n {\n \"question_id\": \"98763\",\n \"answer\": \"pantyhose\"\n },\n {\n \"question_id\": \"98764\",\n \"answer\": \"colorful dresses and wide-legged pantsuits\"\n },\n {\n \"question_id\": \"98765\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98766\",\n \"answer\": \"Ally McBeal\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nAN AWKWARD POSITION \n\nWhen Captain Nelson and Terence went out, just as the morning was breaking, they found the two troopers waiting in the street. Each held a spare horse; the one was that upon which Terence had ridden from Coimbra, the other was a fine English horse. \n\n\"What horse is this?\" Terence asked. \n\n\"It is a present to you from Sir John Cradock,\" Captain Nelson said. \"He told me last night that the troopers had been ordered to ask for it when they took your horse this morning, and that his men were ordered to hand it over to them. He wished me to tell you that he had pleasure in presenting the horse to you as a mark of his great satisfaction at the manner in which you had mastered the military details of Sir John Moore's expedition, and the clearness with which you had explained them.\" \n\n\"I am indeed greatly obliged to the general; it is most kind of him,\" Terence said. \"Will you please express my thanks to him in a proper way, Captain Nelson.\" \n\nThey rode to the Treasury, where they found the Portuguese escort, with the mules, waiting them. The officer in charge of the Treasury was already there, and admitted the two officers. \n\n\"I have packed the money in ammunition-boxes,\" he said. \"I received instructions from Mr. Villiers to do so.\" \n\n\"It is evident that your words had some effect, Mr. O'Connor,\" Captain Nelson said aside to Terence. \"I suppose that when he thought it over he came to the conclusion that, after all, your suggestions, were prudent ones, and that it would add to the chance of the money reaching Romana were he to adopt it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58428\": \"Who held a spare horse?\"\n },\n {\n \"58429\": \"Where were they?\"\n },\n {\n \"58430\": \"What time was it?\"\n },\n {\n \"58431\": \"Had Terence ridden one?\"\n },\n {\n \"58432\": \"from where?\"\n },\n {\n \"58433\": \"Who else was with Terence\"\n },\n {\n \"58434\": \"Which horse was the present?\"\n },\n {\n \"58435\": \"From who?\"\n },\n {\n \"58436\": \"to who?\"\n },\n {\n \"58437\": \"Had the troopers been ordered?\"\n },\n {\n \"58438\": \"What were they ordered to do?\"\n },\n {\n \"58439\": \"What had Terence mastered?\"\n },\n {\n \"58440\": \"Were they of an expedition?\"\n },\n {\n \"58441\": \"Whose?\"\n },\n {\n \"58442\": \"Did he explain them?\"\n },\n {\n \"58443\": \"Was the money packed?\"\n },\n {\n \"58444\": \"What was it packed in?\"\n },\n {\n \"58445\": \"Who did he receive instructions from?\"\n },\n {\n \"58446\": \"Where did they ride to?\"\n },\n {\n \"58447\": \"Who was there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"58428\",\n \"answer\": \"two troopers\"\n },\n {\n \"question_id\": \"58429\",\n \"answer\": \"in the street\"\n },\n {\n \"question_id\": \"58430\",\n \"answer\": \"just as the morning was breaking\"\n },\n {\n \"question_id\": \"58431\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58432\",\n \"answer\": \"Coimbra\"\n },\n {\n \"question_id\": \"58433\",\n \"answer\": \"Captain Nelson\"\n },\n {\n \"question_id\": \"58434\",\n \"answer\": \"a fine English horse\"\n },\n {\n \"question_id\": \"58435\",\n \"answer\": \"Sir John Cradock\"\n },\n {\n \"question_id\": \"58436\",\n \"answer\": \"Terence\"\n },\n {\n \"question_id\": \"58437\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58438\",\n \"answer\": \"provide the English horse\"\n },\n {\n \"question_id\": \"58439\",\n \"answer\": \"military details\"\n },\n {\n \"question_id\": \"58440\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58441\",\n \"answer\": \"Sir John Moore's\"\n },\n {\n \"question_id\": \"58442\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58443\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"58444\",\n \"answer\": \"ammunition-boxes\\\\\"\n },\n {\n \"question_id\": \"58445\",\n \"answer\": \"Mr. Villiers\"\n },\n {\n \"question_id\": \"58446\",\n \"answer\": \"the Treasury\"\n },\n {\n \"question_id\": \"58447\",\n \"answer\": \"the Portuguese escort and the officer in charge of the Treasury\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tampa () is a major city in, and the county seat of, Hillsborough County, Florida, United States. It is on the west coast of Florida on Tampa Bay, near the Gulf of Mexico, and is the largest city in the Tampa Bay Area. The city had a population of 335,709 at the 2010 census, and an estimated population of 377,165 in 2016. \n\nArchaeological evidence indicates the shores of Tampa Bay were inhabited by indigenous peoples for thousands of years. The Safety Harbor culture developed in the area around the year 1000 AD, and the descendant Tocobaga and Pohoy chiefdoms were living in or near the current city limits of Tampa when the area was first visited by Spanish explorers in the 16th century. Interactions between native peoples and the Spanish were brief and often violent, and although the newcomers did not stay for long, they introduced European diseases which brought the collapse of native societies across the Florida peninsula over the ensuing decades. Although Spain claimed all of Florida and beyond as part of New Spain, it did not found a colony on the west coast. After the disappearance of the indigenous populations, there were no permanent settlements in the Tampa Bay area until after the United States acquired Florida from Spain in 1821.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45492\": \"How long have humans been living on the Florida coast?\"\n },\n {\n \"45493\": \"Does that predate European visitation?\"\n },\n {\n \"45494\": \"What Eurpoean nation came first?\"\n },\n {\n \"45495\": \"When?\"\n },\n {\n \"45496\": \"Did they get along well with the locals?\"\n },\n {\n \"45497\": \"What were the encounters like?\"\n },\n {\n \"45498\": \"Did they start a settlement?\"\n },\n {\n \"45499\": \"Did they have any lasting impact?\"\n },\n {\n \"45500\": \"WHat?\"\n },\n {\n \"45501\": \"By what means?\"\n },\n {\n \"45502\": \"WHat modern city is located near the former Tocobaga chiefdom?\"\n },\n {\n \"45503\": \"What part of FLorida is that in?\"\n },\n {\n \"45504\": \"Is there good fishing nearby?\"\n },\n {\n \"45505\": \"Where mught you go for that?\"\n },\n {\n \"45506\": \"Is the city growing or shrinking?\"\n },\n {\n \"45507\": \"Is it important to local politics?\"\n },\n {\n \"45508\": \"In what way?\"\n },\n {\n \"45509\": \"How did the US get the area from Spain?\"\n },\n {\n \"45510\": \"WHen did they get it?\"\n },\n {\n \"45511\": \"What changed after that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45492\",\n \"answer\": \"For thousands of years\"\n },\n {\n \"question_id\": \"45493\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45494\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"45495\",\n \"answer\": \"The 16th century.\"\n },\n {\n \"question_id\": \"45496\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45497\",\n \"answer\": \"Brief and violent\"\n },\n {\n \"question_id\": \"45498\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45499\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45500\",\n \"answer\": \"The collapse of native communities across the peninsula\"\n },\n {\n \"question_id\": \"45501\",\n \"answer\": \"Diseases\"\n },\n {\n \"question_id\": \"45502\",\n \"answer\": \"Tampa\"\n },\n {\n \"question_id\": \"45503\",\n \"answer\": \"The west coast\"\n },\n {\n \"question_id\": \"45504\",\n \"answer\": \"I would guess so\"\n },\n {\n \"question_id\": \"45505\",\n \"answer\": \"Tampa Bay\"\n },\n {\n \"question_id\": \"45506\",\n \"answer\": \"Growing\"\n },\n {\n \"question_id\": \"45507\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45508\",\n \"answer\": \"County seat\"\n },\n {\n \"question_id\": \"45509\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45510\",\n \"answer\": \"1821\"\n },\n {\n \"question_id\": \"45511\",\n \"answer\": \"There were permanent settlements in the area\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n My name is Toby. I'm eighty-three years old now. I once knew the greatest man in England. William Shakespeare was his name. I first met William near a big field of apple trees in the town named Stratford in October, 1579. He told me he was 15 years old. He was two years older than me. He had a sister, Joan, and two younger brothers, Gilbert and Richard. And the next year he had another brother, Edmund. After William's parents died, he and his sister lived with his mother's brother. I became his friend from that day until he died. We met nearly every day. We were friends for thirty years. \n\nI once worked with him in the theatre, through the good times and the bad times. William was good at acting. He could make all kinds of people pleased. By 1592, he became very famous. He was always busy day and night. I don't know when he slept. He not only acted in plays, but also wrote his own plays. In his whole life, William wrote 37 plays in all. He was the best _ in England. \n\nHe wrote a play about love in 1595. It was Romeo and Juliet. He once used my name, Toby, in his play--Twelfth Night. In this play, Sir Toby Belch was a big fat man, who liked drinking too much and having a good time. Queen Elizabeth the First watched this play on the 6thof January, 1601. She liked it. \n\nWilliam Shakespeare is dead now, of course. He has been dead for more than thirty years. There's no singing, no dancing, no plays. It isn't like that in my young days. But I can still think--and remember when William and I were young, we had a good time in London, William and I...\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23369\": \"What famous person did Toby know?\"\n },\n {\n \"23370\": \"Where did they meet?\"\n },\n {\n \"23371\": \"When?\"\n },\n {\n \"23372\": \"Who was older?\"\n },\n {\n \"23373\": \"By how much?\"\n },\n {\n \"23374\": \"What did the older person do in 1595?\"\n },\n {\n \"23375\": \"What was it called?\"\n },\n {\n \"23376\": \"Who was overweight in it?\"\n },\n {\n \"23377\": \"Which of his works had an overweight character?\"\n },\n {\n \"23378\": \"What else did the character do?\"\n },\n {\n \"23379\": \"Did anyone of note see this one?\"\n },\n {\n \"23380\": \"Who?\"\n },\n {\n \"23381\": \"Did she have a good time?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23369\",\n \"answer\": \"William Shakespeare\"\n },\n {\n \"question_id\": \"23370\",\n \"answer\": \"Near a big field of apple trees in Stratford\"\n },\n {\n \"question_id\": \"23371\",\n \"answer\": \"October, 1579\"\n },\n {\n \"question_id\": \"23372\",\n \"answer\": \"William Shakespear\"\n },\n {\n \"question_id\": \"23373\",\n \"answer\": \"Two years\"\n },\n {\n \"question_id\": \"23374\",\n \"answer\": \"Wrote a play about love in 1595\"\n },\n {\n \"question_id\": \"23375\",\n \"answer\": \"Romeo and Juliet\"\n },\n {\n \"question_id\": \"23376\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"23377\",\n \"answer\": \"Twelfth Night\"\n },\n {\n \"question_id\": \"23378\",\n \"answer\": \"Drinking too much and having a good time\"\n },\n {\n \"question_id\": \"23379\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"23380\",\n \"answer\": \"Queen Elizabeth\"\n },\n {\n \"question_id\": \"23381\",\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 Lily has a pen friend in America. Her name is Alice. They write to each other every week. They tell each other about their lives. Here is a letter from Lily. Dear Alice, Thank you for your letter and telling me about your best friend. In this letter, I'm going to tell you about my friend. Her name is Cathy. She has long brown hair and blue eyes. She is the same age as me, but a little taller .She is always happy. We sit together in class and help each other with our homework. We always play together after school and play computer games for an hour. Cathy thinks quickly and does better than me. She is learning to play the piano .I am learning to play the piano, too. We play together every day. It's fun. We always have a good time. Please write to me soon. Love, Lily\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23142\": \"Who is in America?\"\n },\n {\n \"23143\": \"Who is she writing to?\"\n },\n {\n \"23144\": \"How often?\"\n },\n {\n \"23145\": \"Who wrote the letter?\"\n },\n {\n \"23146\": \"Who is it about?\"\n },\n {\n \"23147\": \"How old is she?\"\n },\n {\n \"23148\": \"What are they learning?\"\n },\n {\n \"23149\": \"Who is happy?\"\n },\n {\n \"23150\": \"What color is her hair?\"\n },\n {\n \"23151\": \"What do they do in the afternoon?\"\n },\n {\n \"23152\": \"Who is taller?\"\n },\n {\n \"23153\": \"Who has a good time?\"\n },\n {\n \"23154\": \"What does Lily want?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23142\",\n \"answer\": \"Alice\"\n },\n {\n \"question_id\": \"23143\",\n \"answer\": \"Lily\"\n },\n {\n \"question_id\": \"23144\",\n \"answer\": \"every week\"\n },\n {\n \"question_id\": \"23145\",\n \"answer\": \"Lily\"\n },\n {\n \"question_id\": \"23146\",\n \"answer\": \"Cathy\"\n },\n {\n \"question_id\": \"23147\",\n \"answer\": \"the same age as Lily\"\n },\n {\n \"question_id\": \"23148\",\n \"answer\": \"to play the piano\"\n },\n {\n \"question_id\": \"23149\",\n \"answer\": \"Cathy\"\n },\n {\n \"question_id\": \"23150\",\n \"answer\": \"brown\"\n },\n {\n \"question_id\": \"23151\",\n \"answer\": \"play computer games\"\n },\n {\n \"question_id\": \"23152\",\n \"answer\": \"Cathy\"\n },\n {\n \"question_id\": \"23153\",\n \"answer\": \"Lily and Cathy\"\n },\n {\n \"question_id\": \"23154\",\n \"answer\": \"a letter from Alice\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The International Monetary Fund (IMF) is an international organization headquartered in Washington, D.C., of \"189 countries working to foster global monetary cooperation, secure financial stability, facilitate international trade, promote high employment and sustainable economic growth, and reduce poverty around the world.\" Formed in 1944 at the Bretton Woods Conference primarily by the ideas of Harry Dexter White and John Maynard Keynes, it came into formal existence in 1945 with 29 member countries and the goal of reconstructing the international payment system. It now plays a central role in the management of balance of payments difficulties and international financial crises. Countries contribute funds to a pool through a quota system from which countries experiencing balance of payments problems can borrow money. , the fund had SDR477 billion (about $668 billion). \n\nThrough the fund, and other activities such as the gathering of statistics and analysis, surveillance of its members' economies and the demand for particular policies, the IMF works to improve the economies of its member countries. The organisation's objectives stated in the Articles of Agreement are: to promote international monetary co-operation, international trade, high employment, exchange-rate stability, sustainable economic growth, and making resources available to member countries in financial difficulty. \n\nAccording to the IMF itself, it works to foster global growth and economic stability by providing policy, advice and financing the members, by working with developing nations to help them achieve macroeconomic stability and reduce poverty. The rationale for this is that private international capital markets function imperfectly and many countries have limited access to financial markets. Such market imperfections, together with balance-of-payments financing, provide the justification for official financing, without which many countries could only correct large external payment imbalances through measures with adverse economic consequences. The IMF provides alternate sources of financing.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87363\": \"What is headquartered in Washington, D.C.\"\n },\n {\n \"87364\": \"When was it formed?\"\n },\n {\n \"87365\": \"Where?\"\n },\n {\n \"87366\": \"by who?\"\n },\n {\n \"87367\": \"How many member countries were there at that time\"\n },\n {\n \"87368\": \"How many are there now\"\n },\n {\n \"87369\": \"What is the acronym for this organization?\"\n },\n {\n \"87370\": \"What is one of its goals\"\n },\n {\n \"87371\": \"What's another?\"\n },\n {\n \"87372\": \"How much money is in the fund\"\n },\n {\n \"87373\": \"Does it work to improve economies?\"\n },\n {\n \"87374\": \"Of which countries?\"\n },\n {\n \"87375\": \"Does it gather statistics?\"\n },\n {\n \"87376\": \"Where are its objectives stated?\"\n },\n {\n \"87377\": \"What kind of growth does it foster?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87363\",\n \"answer\": \"The International Monetary Fund\"\n },\n {\n \"question_id\": \"87364\",\n \"answer\": \"in 1944\"\n },\n {\n \"question_id\": \"87365\",\n \"answer\": \"at the Bretton Woods Conference\"\n },\n {\n \"question_id\": \"87366\",\n \"answer\": \"Harry Dexter White and John Maynard Keynes\"\n },\n {\n \"question_id\": \"87367\",\n \"answer\": \"29\"\n },\n {\n \"question_id\": \"87368\",\n \"answer\": \"189\"\n },\n {\n \"question_id\": \"87369\",\n \"answer\": \"IMF\"\n },\n {\n \"question_id\": \"87370\",\n \"answer\": \"reconstructing the international payment system\"\n },\n {\n \"question_id\": \"87371\",\n \"answer\": \"balancing of payments difficulties\"\n },\n {\n \"question_id\": \"87372\",\n \"answer\": \"about $668\\u00a0billion\"\n },\n {\n \"question_id\": \"87373\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87374\",\n \"answer\": \"developing nations\"\n },\n {\n \"question_id\": \"87375\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87376\",\n \"answer\": \"in the Articles of Agreement\"\n },\n {\n \"question_id\": \"87377\",\n \"answer\": \"global growth\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 My heart went out to Barb Dunn the moment her 16-year-old son, Daniel, answered my question. \n\nOnce he gets his license in June, would he text and drive? That's what I asked during a kitchen table conversation in their Roxbury, New Jersey, home. \n\nAs you can see in the video above, his answer was not the one his mom expected. \n\n\"I'm taking a deep breath,\" said Dunn, who recently purchased visor clips for Daniel's friends who have already gotten their licenses that say \"Stay alive. Don't text and drive.\" \n\n\"I wouldn't even mind if he said, 'I'm at a red light and I picked up the phone for a minute to read something and put it back down,' but that moving and texting freaks me out. It's not acceptable.\" \n\nDaniel's mom might have wanted to slam her head against the counter but still she told me she appreciated her son's candor and realized in that moment how difficult it is to persuade teens, who text nearly all day long, not to do it while behind the wheel. \n\n\"Even a well-meaning teen is going to have trouble saying no when they get that buzz\" from an incoming text or status update, said David Teater, senior director for the National Safety Council. \"It's almost a Pavlovian response.\" \n\nTeater sadly knows all too well what can go wrong with distracted driving. Ten years ago, a 20-year-old woman who had been talking on a cell phone ran a red light and killed his then 12-year-old son, Joe. Since then, he's dedicated his life to raising awareness about the dangers of talking on a cell phone while behind the wheel. A newer concern: how to eliminate driving while texting. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96604\": \"What was Daniel's reply when he was asked if he would text and drive?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96604\",\n \"answer\": \"I'm taking a deep breath\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tommy and Suzy (brother and sister) went to the playground one afternoon with their mom and dad, Jan and Dean. They were playing a game of tag and having the best time ever running after each other and laughing. They liked to play tag instead of building sandcastles or swinging. They liked tag because they liked to run. They like to play hopscotch or jump rope but that day they wanted to play tag. Other games aren't as fun. They met Tony and Ally (who are best friends) and invited them to play tag too. Tony and Ally like to play other games like hopscotch or jump rope but that day they joined the game of tag. Making new friends is important. Tony and Ally would rather make friends than play their favorite games.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39582\": \"Who went to the playground?\"\n },\n {\n \"39583\": \"What did they do?\"\n },\n {\n \"39584\": \"Did they have fun?\"\n },\n {\n \"39585\": \"Why?\"\n },\n {\n \"39586\": \"Who else was there?\"\n },\n {\n \"39587\": \"Were they related?\"\n },\n {\n \"39588\": \"How?\"\n },\n {\n \"39589\": \"Did they meet anyone there?\"\n },\n {\n \"39590\": \"Who?\"\n },\n {\n \"39591\": \"What did they do?\"\n },\n {\n \"39592\": \"Did they?\"\n },\n {\n \"39593\": \"Why?\"\n },\n {\n \"39594\": \"Were they rel;ated?\"\n },\n {\n \"39595\": \"Did the kids like other things?\"\n },\n {\n \"39596\": \"Like what?\"\n },\n {\n \"39597\": \"How about Tony and Ally?\"\n },\n {\n \"39598\": \"like what?\"\n },\n {\n \"39599\": \"What would they rather do than play them?\"\n },\n {\n \"39600\": \"What time of day was it?\"\n },\n {\n \"39601\": \"What were their parents names?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39582\",\n \"answer\": \"Tommy and Suzy\"\n },\n {\n \"question_id\": \"39583\",\n \"answer\": \"playing tag\"\n },\n {\n \"question_id\": \"39584\",\n \"answer\": \"yes!\"\n },\n {\n \"question_id\": \"39585\",\n \"answer\": \"they liked to run\"\n },\n {\n \"question_id\": \"39586\",\n \"answer\": \"Their mom and dad\"\n },\n {\n \"question_id\": \"39587\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39588\",\n \"answer\": \"brother and sister\"\n },\n {\n \"question_id\": \"39589\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39590\",\n \"answer\": \"Tony and Ally\"\n },\n {\n \"question_id\": \"39591\",\n \"answer\": \"invited them to play tag\"\n },\n {\n \"question_id\": \"39592\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39593\",\n \"answer\": \"Making new friends is important\"\n },\n {\n \"question_id\": \"39594\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39595\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39596\",\n \"answer\": \"hopscotch or jump rope\"\n },\n {\n \"question_id\": \"39597\",\n \"answer\": \"They liked other games too\"\n },\n {\n \"question_id\": \"39598\",\n \"answer\": \"hopscotch or jump rope\"\n },\n {\n \"question_id\": \"39599\",\n \"answer\": \"Make friends\"\n },\n {\n \"question_id\": \"39600\",\n \"answer\": \"afternoon\"\n },\n {\n \"question_id\": \"39601\",\n \"answer\": \"Jan and Dean.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Peter waved goodbye and closed the door slowly as Jane left home to visit her grandmother. Expecting a whole day to relax, he was thinking whether to read the newspaper or watch his favorite TV talk show on his first day off in months. \"This will be like a walk in the park,\" he'd told his wife, \"I'll look after the kids, and you can go to visit your grandma.\" Things started well, but just after eight o'clock, his three little \"good kids\"--Adam, Bob, and Christopher--came down the stairs in their night clothes and shouted \"breakfast, daddy.\" When food had not appeared within thirty seconds, Adam began using his spoon on Christopher's head as if it were a drum. Christopher started to shout loudly in time to the beat . Bob chanted \"Where's my toast, where's my toast\" in the background. Peter realized his newspaper would have to wait for a few seconds. Life became worse after breakfast. Adam wore Bob's underwear on his head. Bob locked himself in the bathroom, while Christopher shouted again because he was going to wet his pants. Nobody could find clean socks, although they were before their very eyes. Someone named \"Not Me\" had spilled a whole glass of orange juice into the basket of clean clothes. Peter knew the talk show had already started. By ten o'clock, things were out of control. Christopher was wondering why the fish in the jar refused his bread and butter. Adam was trying to show off his talent by decorating the kitchen wall with his color pencils. Bob, thankfully, appeared to be reading quietly in the family room, but closer examination showed that he was eating apple jam straight from the bottle with his hands. Peter realized that the talk show was over and reading would be impossible. At exactly 11:17, Peter called the daycare centre .\"I suddenly have to go into work and my wife's away. Can I bring the boys over in a few minutes?\" The answer was obviously \"yes\" because Peter was smiling.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7757\": \"Who waved goodbye?\"\n },\n {\n \"7758\": \"Who was he waving to?\"\n },\n {\n \"7759\": \"And why was she leaving?\"\n },\n {\n \"7760\": \"Do they have children?\"\n },\n {\n \"7761\": \"What are their names?\"\n },\n {\n \"7762\": \"Were the children left unattended?\"\n },\n {\n \"7763\": \"Who was watching them?\"\n },\n {\n \"7764\": \"Was it easy for him?\"\n },\n {\n \"7765\": \"At what time did the situation get out of hand?\"\n },\n {\n \"7766\": \"Who was drawing on the walls?\"\n },\n {\n \"7767\": \"Who called the day care center?\"\n },\n {\n \"7768\": \"And at what time?\"\n },\n {\n \"7769\": \"Was he sad about it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7757\",\n \"answer\": \"Peter.\"\n },\n {\n \"question_id\": \"7758\",\n \"answer\": \"Jane.\"\n },\n {\n \"question_id\": \"7759\",\n \"answer\": \"To visit her grandmother.\"\n },\n {\n \"question_id\": \"7760\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"7761\",\n \"answer\": \"Adam, Bob, and Christopher.\"\n },\n {\n \"question_id\": \"7762\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"7763\",\n \"answer\": \"Peter.\"\n },\n {\n \"question_id\": \"7764\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"7765\",\n \"answer\": \"Ten o'clock.\"\n },\n {\n \"question_id\": \"7766\",\n \"answer\": \"Adam.\"\n },\n {\n \"question_id\": \"7767\",\n \"answer\": \"Peter.\"\n },\n {\n \"question_id\": \"7768\",\n \"answer\": \"11:17.\"\n },\n {\n \"question_id\": \"7769\",\n \"answer\": \"Peter.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Life was an American magazine that ran weekly from 1883 to 1936 as a humor magazine with limited circulation. \"Time\" owner Henry Luce bought the magazine in 1936, solely so that he could acquire the rights to its name, and launched a major weekly news magazine with a strong emphasis on photojournalism. \"Life\" was published weekly until 1972, as an intermittent \"special\" until 1978, and as a monthly from 1978 to 2000. \n\nAfter 2000 Time Inc. continued to use the \"Life\" brand for special and commemorative issues. \"Life\" returned to regularly scheduled issues when it became a weekly newspaper supplement from 2004 to 2007. The website life.com, originally one of the channels on Time Inc.'s Pathfinder service, was for a time in the late 2000s managed as a joint venture with Getty Images under the name See Your World, LLC. On January 30, 2012, the LIFE.com URL became a photo channel on Time.com. \n\nWhen \"Life\" was founded in 1883, it was developed as similar to the British magazine, \"Punch.\" It was published for 53 years as a general-interest light entertainment magazine, heavy on illustrations, jokes and social commentary. It featured some of the greatest writers, editors, illustrators and cartoonists of its era, including Charles Dana Gibson, Norman Rockwell and Jacob Hartman Jr. Gibson became the editor and owner of the magazine after John Ames Mitchell died in 1918. During its later years, the magazine offered brief capsule reviews (similar to those in \"The New Yorker\") of plays and movies currently running in New York City, but with the innovative touch of a colored typographic bullet resembling a traffic light, appended to each review: green for a positive review, red for a negative one, and amber for mixed notices.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54395\": \"What year was \\\"Life\\\" founded?\"\n },\n {\n \"54396\": \"What years did it run weekly from?\"\n },\n {\n \"54397\": \"Until what year (as a humor magazine)?\"\n },\n {\n \"54398\": \"Who bought it?\"\n },\n {\n \"54399\": \"In what year?\"\n },\n {\n \"54400\": \"Why?\"\n },\n {\n \"54401\": \"What British magazine was it similar to?\"\n },\n {\n \"54402\": \"For how long was it published as a general-interest light entertainment publication?\"\n },\n {\n \"54403\": \"Name two of the writers, editors, illustrators or cartoonists that were featured in it?\"\n },\n {\n \"54404\": \"Who became the editor after John Ames Mitchell died?\"\n },\n {\n \"54405\": \"In what year was that?\"\n },\n {\n \"54406\": \"What did a green, traffic light bullet represent?\"\n },\n {\n \"54407\": \"What color was a negative one?\"\n },\n {\n \"54408\": \"And what did amber signal?\"\n },\n {\n \"54409\": \"What happened on January 30, 2012?\"\n },\n {\n \"54410\": \"What years was \\\"Life\\\" published as a monthly?\"\n },\n {\n \"54411\": \"When was it put out as a weekly until?\"\n },\n {\n \"54412\": \"And when as an intermittent \\\"special\\\" until?\"\n },\n {\n \"54413\": \"Was life an Irish magazine?\"\n },\n {\n \"54414\": \"What country was it from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54395\",\n \"answer\": \"1883\"\n },\n {\n \"question_id\": \"54396\",\n \"answer\": \"1883\"\n },\n {\n \"question_id\": \"54397\",\n \"answer\": \"1936\"\n },\n {\n \"question_id\": \"54398\",\n \"answer\": \"Henry Luce\"\n },\n {\n \"question_id\": \"54399\",\n \"answer\": \"1936\"\n },\n {\n \"question_id\": \"54400\",\n \"answer\": \"so that he could acquire the rights to its name\"\n },\n {\n \"question_id\": \"54401\",\n \"answer\": \"\\\"Punch.\\\"\"\n },\n {\n \"question_id\": \"54402\",\n \"answer\": \"53 years\"\n },\n {\n \"question_id\": \"54403\",\n \"answer\": \"Charles Dana Gibson and Norman Rockwell\"\n },\n {\n \"question_id\": \"54404\",\n \"answer\": \"Gibson\"\n },\n {\n \"question_id\": \"54405\",\n \"answer\": \"1918\"\n },\n {\n \"question_id\": \"54406\",\n \"answer\": \"a positive review\"\n },\n {\n \"question_id\": \"54407\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"54408\",\n \"answer\": \"mixed notices\"\n },\n {\n \"question_id\": \"54409\",\n \"answer\": \"the LIFE.com URL became a photo channel on Time.com\"\n },\n {\n \"question_id\": \"54410\",\n \"answer\": \"1978 to 2000\"\n },\n {\n \"question_id\": \"54411\",\n \"answer\": \"1972\"\n },\n {\n \"question_id\": \"54412\",\n \"answer\": \"1978\"\n },\n {\n \"question_id\": \"54413\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54414\",\n \"answer\": \"America\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Humanism is a philosophical and ethical stance that emphasizes the value and agency of human beings, individually and collectively, and generally prefers critical thinking and evidence (rationalism, empiricism) over acceptance of dogma or superstition. The meaning of the term humanism has fluctuated according to the successive intellectual movements which have identified with it. Generally, however, humanism refers to a perspective that affirms some notion of human freedom and progress. In modern times, humanist movements are typically aligned with secularism, and today humanism typically refers to a non-theistic life stance centred on human agency and looking to science rather than revelation from a supernatural source to understand the world. \n\nGellius says that in his day humanitas is commonly used as a synonym for philanthropy – or kindness and benevolence toward one's fellow human being. Gellius maintains that this common usage is wrong, and that model writers of Latin, such as Cicero and others, used the word only to mean what we might call \"humane\" or \"polite\" learning, or the Greek equivalent Paideia. Gellius became a favorite author in the Italian Renaissance, and, in fifteenth-century Italy, teachers and scholars of philosophy, poetry, and rhetoric were called and called themselves \"humanists\". Modern scholars, however, point out that Cicero (106 – 43 BCE), who was most responsible for defining and popularizing the term humanitas, in fact frequently used the word in both senses, as did his near contemporaries. For Cicero, a lawyer, what most distinguished humans from brutes was speech, which, allied to reason, could (and should) enable them to settle disputes and live together in concord and harmony under the rule of law. Thus humanitas included two meanings from the outset and these continue in the modern derivative, humanism, which even today can refer to both humanitarian benevolence and to scholarship.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4003\": \"In Italy, who called themselves humanists?\"\n },\n {\n \"4004\": \"What years was Cicero alive?\"\n },\n {\n \"4005\": \"What was his occupation?\"\n },\n {\n \"4006\": \"What did he say was the difference between man and beasts?\"\n },\n {\n \"4007\": \"What did he say the benefit of that was?\"\n },\n {\n \"4008\": \"What was Gellius attitude?\"\n },\n {\n \"4009\": \"What did he term as being nice to people?\"\n },\n {\n \"4010\": \"What did Gellius become?\"\n },\n {\n \"4011\": \"When?\"\n },\n {\n \"4012\": \"How many different definitions did we end up with on the topic of discussion?\"\n },\n {\n \"4013\": \"Does the topic include God or not?\"\n },\n {\n \"4014\": \"Was what uneducated people's opinions included?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4003\",\n \"answer\": \"teachers and scholars of philosophy, poetry, and rhetoric\"\n },\n {\n \"question_id\": \"4004\",\n \"answer\": \"(106 \\u2013 43 BCE)\"\n },\n {\n \"question_id\": \"4005\",\n \"answer\": \"a lawyer\"\n },\n {\n \"question_id\": \"4006\",\n \"answer\": \"speech\"\n },\n {\n \"question_id\": \"4007\",\n \"answer\": \"it enabled them to settle disputes and live together\"\n },\n {\n \"question_id\": \"4008\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"4009\",\n \"answer\": \"humanitas\"\n },\n {\n \"question_id\": \"4010\",\n \"answer\": \"a favorite author in the Italian Renaissance\"\n },\n {\n \"question_id\": \"4011\",\n \"answer\": \"The fifteenth century\"\n },\n {\n \"question_id\": \"4012\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"4013\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4014\",\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 John woke up. It was Tuesday, and he was at home. He was still sleepy, but his alarm clock was ringing and he knew he had to be on time for school. He wished it were Saturday or Sunday. He yawned, got out of bed, and put on his slippers. Then, he walked to the bathroom, where he brushed his teeth and washed his face. Still in his pajamas, he went down to the kitchen. His mother, Sylvia, greeted him with a glass of orange juice and a big bowl of cereal. He was still kind of sleepy, but he drank his juice and ate his cereal. \n\nWhen John was done with his breakfast, he went upstairs and got his school clothes on. Then it was time to catch the bus to school. John hated the bus, because he was quiet and the bus was always loud. Plus there was always some kid who thought it was funny to make gross jokes or say bad words. \n\nToday, John was ready for the bus. With the sandwich and potato chips in his lunchbox, he had some cake he had made yesterday. He had used salt to make the cake instead of sugar. He knew it tasted horrible, and he was going to give a piece of cake to the first person who was bad on the bus, and he didn't even care if he got in trouble. His friends Anne, Margaret, and Charlotte were in on it, too. He sat in the house, a little excited, eating an apple and waiting until it was time to leave the house. It was time! He put on his shoes and left.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79059\": \"What day was it?\"\n },\n {\n \"79060\": \"Who woke up?\"\n },\n {\n \"79061\": \"Where was he?\"\n },\n {\n \"79062\": \"What did he have to be on time for?\"\n },\n {\n \"79063\": \"What did he wish?\"\n },\n {\n \"79064\": \"What did he do third?\"\n },\n {\n \"79065\": \"What did he do next?\"\n },\n {\n \"79066\": \"What was he wearing?\"\n },\n {\n \"79067\": \"Did he go downstairs?\"\n },\n {\n \"79068\": \"Who gave him a drink?\"\n },\n {\n \"79069\": \"How did he feel?\"\n },\n {\n \"79070\": \"Where did he have to go afterwards?\"\n },\n {\n \"79071\": \"Why did he hate the ride?\"\n },\n {\n \"79072\": \"Anything else?\"\n },\n {\n \"79073\": \"How many things did he have in his lunch box?\"\n },\n {\n \"79074\": \"How did the planned trick have him feeling?\"\n },\n {\n \"79075\": \"What did he eat last?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79059\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"79060\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"79061\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"79062\",\n \"answer\": \"school\"\n },\n {\n \"question_id\": \"79063\",\n \"answer\": \"weekend\"\n },\n {\n \"question_id\": \"79064\",\n \"answer\": \"slippers\"\n },\n {\n \"question_id\": \"79065\",\n \"answer\": \"bathroom\"\n },\n {\n \"question_id\": \"79066\",\n \"answer\": \"pajamas\"\n },\n {\n \"question_id\": \"79067\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79068\",\n \"answer\": \"mother\"\n },\n {\n \"question_id\": \"79069\",\n \"answer\": \"sleepy\"\n },\n {\n \"question_id\": \"79070\",\n \"answer\": \"school\"\n },\n {\n \"question_id\": \"79071\",\n \"answer\": \"loud\"\n },\n {\n \"question_id\": \"79072\",\n \"answer\": \"bad words\"\n },\n {\n \"question_id\": \"79073\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"79074\",\n \"answer\": \"excited\"\n },\n {\n \"question_id\": \"79075\",\n \"answer\": \"apple\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nDEFEAT OF THE ENGLISH \n\nThe explosion of the musket had been so unexpected that for the moment Dave and Henry hardly knew what had happened. Dave felt something hit him on the bottom of his left cheek and putting up his hand withdrew it covered with blood. Henry, too, was hit by a flying fragment of the gun barrel which clipped off a lock of his hair. Poor Barringford lay like one dead. \n\nBefore Dave could recover the Indians were on them, whooping as if their very lives depended upon it. One threw a tomahawk at Dave, but the aim was poor and the weapon buried itself in the log which had sheltered our friends. \n\nBut just at this moment, when all seemed lost, the battleground shifted and instantly thirty or forty English red-coats burst from the woods directly behind the Indians. A volley rang out and four of the redmen pitched forward, shot through the back. Other bullets hit the log behind which our friends lay, but Dave, Henry, and Barringford were not touched. \n\nAttacked so unexpectedly from a new quarter, the Indians appeared dazed. They attempted to turn upon the English soldiers, but when two more were laid low, they fled to one side, where there was a dense growth of walnuts. The soldiers at once made after them, and another skirmish took place in the forest. \n\n\"Are you hurt much, Sam?\" asked Henry, when he had recovered sufficiently to speak. \n\n\"I--I reckon not,\" was the gasped-out answer, after a long silence. Barringford opened his eyes and gazed ruefully at the gun stock which lay at his feet. \"Busted! Well, by gum! Didn't think Old Trusty would do it nohow. Ain't ye ashamed?\" And he shook his head dolefully. He had carried the firearm for many years, as our old readers know, and to have it \"go back on him\" like this hurt him more than had the explosion. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32129\": \"What exploded?\"\n },\n {\n \"32130\": \"Who felt something hit him?\"\n },\n {\n \"32131\": \"Where was he hit?\"\n },\n {\n \"32132\": \"Was anyone else hit?\"\n },\n {\n \"32133\": \"Who were they battling?\"\n },\n {\n \"32134\": \"What side were they on?\"\n },\n {\n \"32135\": \"Where did they flee to?\"\n },\n {\n \"32136\": \"Was Sam seriously hurt?\"\n },\n {\n \"32137\": \"What wasOld Trusty?\"\n },\n {\n \"32138\": \"Did bullets hit a log?\"\n },\n {\n \"32139\": \"What chapter is this?\"\n },\n {\n \"32140\": \"What is the title?\"\n },\n {\n \"32141\": \"Where did another skirmish take place?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32129\",\n \"answer\": \"the musket\"\n },\n {\n \"question_id\": \"32130\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"32131\",\n \"answer\": \"his left cheek\"\n },\n {\n \"question_id\": \"32132\",\n \"answer\": \"Henry and Barringford\"\n },\n {\n \"question_id\": \"32133\",\n \"answer\": \"Indians\"\n },\n {\n \"question_id\": \"32134\",\n \"answer\": \"the English (the red-coats)\"\n },\n {\n \"question_id\": \"32135\",\n \"answer\": \"the Indians attempted to turn upon the English\"\n },\n {\n \"question_id\": \"32136\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32137\",\n \"answer\": \"a firearm\"\n },\n {\n \"question_id\": \"32138\",\n \"answer\": \"it backfired\"\n },\n {\n \"question_id\": \"32139\",\n \"answer\": \"XIX (19)\"\n },\n {\n \"question_id\": \"32140\",\n \"answer\": \"DEFEAT OF THE ENGLISH\"\n },\n {\n \"question_id\": \"32141\",\n \"answer\": \"in the forest.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (Entertainment Weekly) -- In the movies, \"the suburbs\" are never just a place. They're a state of mind, a mythology we all know in our bones. \n\nKate Winslet and Leonardo DiCaprio share a happy moment in \"Revolutionary Road.\" \n\nThe myth goes something like this: The suburbs are comfortable, maybe even beautiful, but their serenity is rooted in a friendly American conformity, so that the people who live there have to repress their true selves, which will emerge when they drink too much and have affairs, or rage at each other for their dishonesty, which was all caused in the first place by ... the suburbs. \n\nThe best thing about \"Revolutionary Road,\" a cool-blooded and disquieting adaptation of Richard Yates' 1961 novel about a powerfully unhappy Connecticut couple, is that it doesn't end with that rote vision of bourgeois anomie. It only begins there. \n\nFrank and April Wheeler (Leonardo DiCaprio and Kate Winslet) are about 30, with two kids, and both believe they can evade the traps of the existence they've chosen. The year is 1955, and Frank has a New York job that bores him, marketing business machines. He takes solace in feeling superior to his work, and also in his midday martinis and occasional dip into the secretarial pool. April, meanwhile, wanted to be an actress, and still feels she's meant for higher things. Watch DiCaprio and Winslet talk about their reunion » \n\nMoved to reach for something more, April comes up with a plan: She and Frank will sell their home and move to Paris, where she'll work as a government secretary and he will ... find himself. (It's like a '60s fantasy a decade ahead of time.) \"Revolutionary Road\" was directed by Sam Mendes, who made the glibly scathing \"American Beauty,\" only here he wants us to share not just Frank and April's misery but the frail reveries that hold them together. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70707\": \"What movie is the article about?\"\n },\n {\n \"70708\": \"Who is the director?\"\n },\n {\n \"70709\": \"Is this his first directing job?\"\n },\n {\n \"70710\": \"What else has he done?\"\n },\n {\n \"70711\": \"Is the movie an original screenplay?\"\n },\n {\n \"70712\": \"Was it a book?\"\n },\n {\n \"70713\": \"Who wrote the novel?\"\n },\n {\n \"70714\": \"What year?\"\n },\n {\n \"70715\": \"What is it about?\"\n },\n {\n \"70716\": \"Who stars in the movie?\"\n },\n {\n \"70717\": \"Why are they unhappy?\"\n },\n {\n \"70718\": \"What do they do?\"\n },\n {\n \"70719\": \"What characters do DiCaprio and Winslet play?\"\n },\n {\n \"70720\": \"Do they have kids?\"\n },\n {\n \"70721\": \"How many?\"\n },\n {\n \"70722\": \"Does Frank Wheeler work?\"\n },\n {\n \"70723\": \"What does he do?\"\n },\n {\n \"70724\": \"What does April Wheeler do?\"\n },\n {\n \"70725\": \"What do they decide to do?\"\n },\n {\n \"70726\": \"What will that do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"70707\",\n \"answer\": \"Revolutionary Road\"\n },\n {\n \"question_id\": \"70708\",\n \"answer\": \"Sam Mendes\"\n },\n {\n \"question_id\": \"70709\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70710\",\n \"answer\": \"American Beauty\"\n },\n {\n \"question_id\": \"70711\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"70712\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70713\",\n \"answer\": \"Richard Yates\"\n },\n {\n \"question_id\": \"70714\",\n \"answer\": \"1961\"\n },\n {\n \"question_id\": \"70715\",\n \"answer\": \"a powerfully unhappy Connecticut couple\"\n },\n {\n \"question_id\": \"70716\",\n \"answer\": \"Kate Winslet and Leonardo DiCaprio\"\n },\n {\n \"question_id\": \"70717\",\n \"answer\": \"people who live in the suburbs have to repress their true selves\"\n },\n {\n \"question_id\": \"70718\",\n \"answer\": \"drink too much and have affairs\"\n },\n {\n \"question_id\": \"70719\",\n \"answer\": \"Frank and April Wheeler\"\n },\n {\n \"question_id\": \"70720\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70721\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"70722\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"70723\",\n \"answer\": \"marketing business machines\"\n },\n {\n \"question_id\": \"70724\",\n \"answer\": \"wanted to be an actress\"\n },\n {\n \"question_id\": \"70725\",\n \"answer\": \"She and Frank will sell their home and move to Paris\"\n },\n {\n \"question_id\": \"70726\",\n \"answer\": \"she'll work as a government secretary and he will ... find himself.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Something caught my eyes when I was walking down the street. Two silver coins were shining in a melting snow bank, so I dug through the snow looking for more. Of course, I just ended up with really cold hands. I slipped the two coins into my pocket and went home, colder but richer. I began to think about how to spend the money... Two days later, Mary and her little sister were searching the snow banks. \"Finders are keepers\" was my first thought. I didn't want to hand them out even though Susy was already crying. \" I dropped them right here,\" she said between tears. Her hands were cold and red for digging in the snow. Maybe they slid down the street with the melting snow. Let's dig over here.\" Mary's voice sounded confident. \"They'll never know\" was my second thought, and I walked past them. \" Phil, have you seen two sliver coins?\" asked Mary. Susy looked up from digging. _ . \"Tell a lie\" was my third thought. \"As a matter of fact,\" I hesitated ,\"I dug two coins out of that snow bank just a few days ago. I wondered who might have lost them.\" Susy hugged me with a big smile, \"Oh, thank you, thank you.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24194\": \"Who was walking down the street?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24194\",\n \"answer\": \"I\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI \n\nEXAMINATION DAY \n\nIt was plain that Fred and Charley had spread the news of their descent into the Pit, and of their battle with the Simpson clan and the Fishes. He heard the nine-o'clock bell with feelings of relief, and passed into the school, a mark for admiring glances from all the boys. The girls, too, looked at him in a timid and fearful way--as they might have looked at Daniel when he came out of the lions' den, Joe thought, or at David after his battle with Goliath. It made him uncomfortable and painfully self-conscious, this hero-worshiping, and he wished heartily that they would look in some other direction for a change. \n\nSoon they did look in another direction. While big sheets of foolscap were being distributed to every desk, Miss Wilson, the teacher (an austere-looking young woman who went through the world as though it were a refrigerator, and who, even on the warmest days in the classroom, was to be found with a shawl or cape about her shoulders), arose, and on the blackboard where all could see wrote the Roman numeral \"I.\" Every eye, and there were fifty pairs of them, hung with expectancy upon her hand, and in the pause that followed the room was quiet as the grave. \n\nUnderneath the Roman numeral \"I\" she wrote: \"_(a) What were the laws of Draco? (b) Why did an Athenian orator say that they were written 'not in ink, but in blood'?_\" \n\nForty-nine heads bent down and forty-nine pens scratched lustily across as many sheets of foolscap. Joe's head alone remained up, and he regarded the blackboard with so blank a stare that Miss Wilson, glancing over her shoulder after having written \"II,\" stopped to look at him. Then she wrote: \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88659\": \"Who had spread the news?\"\n },\n {\n \"88660\": \"What was the teacher's name?\"\n },\n {\n \"88661\": \"What were her salient qualities?\"\n },\n {\n \"88662\": \"and?\"\n },\n {\n \"88663\": \"Did she dress in a summery fashion?\"\n },\n {\n \"88664\": \"What biblical story is referenced?\"\n },\n {\n \"88665\": \"and?\"\n },\n {\n \"88666\": \"What characterized the glances from the boys?\"\n },\n {\n \"88667\": \"How many eyes were looking at the teacher's hand?\"\n },\n {\n \"88668\": \"was the classroom hushed?\"\n },\n {\n \"88669\": \"Who does she quote concerning Draconian laws?\"\n },\n {\n \"88670\": \"Did all the children know the answer to her question?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88659\",\n \"answer\": \"Fred and Charley\"\n },\n {\n \"question_id\": \"88660\",\n \"answer\": \"Miss Wilson\"\n },\n {\n \"question_id\": \"88661\",\n \"answer\": \"austere-looking\"\n },\n {\n \"question_id\": \"88662\",\n \"answer\": \"went through the world as though it were a refrigerator\"\n },\n {\n \"question_id\": \"88663\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"88664\",\n \"answer\": \"David vs Goliath\"\n },\n {\n \"question_id\": \"88665\",\n \"answer\": \"the Simpson clan and the Fishes\"\n },\n {\n \"question_id\": \"88666\",\n \"answer\": \"the nine-o'clock bell\"\n },\n {\n \"question_id\": \"88667\",\n \"answer\": \"fifty pairs\"\n },\n {\n \"question_id\": \"88668\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"88669\",\n \"answer\": \"What were the laws of Draco?\"\n },\n {\n \"question_id\": \"88670\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII. \n\nTHE BLAST OF THE WHISTLE. \n\nRichard Talbot was of course convinced that witchcraft was not likely to be the most serious part of the misdeeds of Tibbott the huckstress. Committing Antony Babington to the custody of his wife, he sped on his way back to the Manor-house, where Lord Shrewsbury was at present residing, the Countess being gone to view her buildings at Chatsworth, taking her daughter Bessie with her. He sent in a message desiring to speak to my lord in his privy chamber. \n\nFrancis Talbot came to him. \"Is it matter of great moment, Dick?\" he said, \"for my father is so fretted and chafed, I would fain not vex him further to-night.--What! know you not? Here are tidings that my lady hath married Bess--yes, Bess Cavendish, in secret to my young Lord Lennox, the brother of this Queen's unlucky husband! How he is to clear himself before her Grace of being concerned in it, I know not, for though Heaven wots that he is as innocent as the child unborn, she will suspect him!\" \n\n\"I knew she flew high for Mistress Bess,\" returned Richard. \n\n\"High! nothing would serve her save royal blood! My poor father says as sure as the lions and fleur-de-lis have come into a family, the headsman's axe has come after them.\" \n\n\"However it is not our family.\" \n\n\"So I tell him, but it gives him small comfort,\" said Frank, \"looking as he doth on the Cavendish brood as his own, and knowing that there will be a mighty coil at once with my lady and these two queens. He is sore vexed to-night, and saith that never was Earl, not to say man, so baited by woman as he, and he bade me see whether yours be a matter of such moment that it may not wait till morning or be despatched by me.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84450\": \"What Did Francis tell Dick when he got to him?\"\n },\n {\n \"84451\": \"What is the title of this chapter?\"\n },\n {\n \"84452\": \"What was Richard convinced of?\"\n },\n {\n \"84453\": \"To whom was Anthony committed?\"\n },\n {\n \"84454\": \"Where did he speed to?\"\n },\n {\n \"84455\": \"Who was at the House\"\n },\n {\n \"84456\": \"Where was the Countess at this time?\"\n },\n {\n \"84457\": \"What was he doing there?\"\n },\n {\n \"84458\": \"What is the chapter number?\"\n },\n {\n \"84459\": \"What did Richard said when he returned?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84450\",\n \"answer\": \"\\\"Is it matter of great moment, Dick?\\\"\"\n },\n {\n \"question_id\": \"84451\",\n \"answer\": \"THE BLAST OF THE WHISTLE.\"\n },\n {\n \"question_id\": \"84452\",\n \"answer\": \"Richard Talbot was convinced witchcraft was not the most serious part of the misdeeds\"\n },\n {\n \"question_id\": \"84453\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"84454\",\n \"answer\": \"to the Manor-house,\"\n },\n {\n \"question_id\": \"84455\",\n \"answer\": \"Lord Shrewsbury\"\n },\n {\n \"question_id\": \"84456\",\n \"answer\": \"Chatsworth\"\n },\n {\n \"question_id\": \"84457\",\n \"answer\": \"gone to view her buildings\"\n },\n {\n \"question_id\": \"84458\",\n \"answer\": \"CHAPTER VII.\"\n },\n {\n \"question_id\": \"84459\",\n \"answer\": \"\\\"I knew she flew high for Mistress Bess,\\\" returned Richard.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Surrey is a county in the South East England and is one of the home counties. It shares borders with Kent to the east, East Sussex to the south-east, West Sussex to the south, Hampshire to the west and south-west, and Berkshire to the north-west and Greater London to the north-east. The county town is Guildford. Surrey County Council sits outside its jurisdiction in Kingston upon Thames, a town which has been administered as part of Greater London since 1965. With a resident population of 1.1 million, Surrey is the most densely populated and third-most-populous county in the South East region. \n\nToday, administrative Surrey is divided into eleven districts: Elmbridge, Epsom and Ewell, Guildford, Mole Valley, Reigate and Banstead, Runnymede, Spelthorne, Surrey Heath, Tandridge, Waverley, and Woking. Services such as roads, mineral extraction licensing, education, strategic waste and recycling infrastructure, birth, marriage, and death registration, and social and children's services are administered by Surrey County Council. The London boroughs of Lambeth, Southwark, Wandsworth, and parts of Lewisham and Bromley were in Surrey until 1889. The boroughs of Croydon, Kingston upon Thames, Merton, Sutton and Richmond upon Thames south of the River Thames were part of Surrey until 1965, when they too were absorbed into Greater London. In the same year, the county was extended north of the Thames by the addition of Spelthorne, as a result of the dissolution of Middlesex. Due to this expansion, modern Surrey also borders on the London boroughs of Hillingdon, Hounslow, Kingston upon Thames, Sutton, Croydon and Bromley.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27990\": \"Is Surrey a county or city?\"\n },\n {\n \"27991\": \"Where is it located?\"\n },\n {\n \"27992\": \"What is the Surrey county town?\"\n },\n {\n \"27993\": \"Is the county council within the Surrey county jurisdiction?\"\n },\n {\n \"27994\": \"Where does the county council sit?\"\n },\n {\n \"27995\": \"What types of services does the county council administer?\"\n },\n {\n \"27996\": \"How many districts is the county made up of?\"\n },\n {\n \"27997\": \"Are any of London's boroughs a part of Surrey?\"\n },\n {\n \"27998\": \"Was the county ever expanded?\"\n },\n {\n \"27999\": \"Why?\"\n },\n {\n \"28000\": \"Did anything happen as a result of the expansion?\"\n },\n {\n \"28001\": \"Does Surrey border other counties?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"27990\",\n \"answer\": \"County\"\n },\n {\n \"question_id\": \"27991\",\n \"answer\": \"South East England\"\n },\n {\n \"question_id\": \"27992\",\n \"answer\": \"Guildford\"\n },\n {\n \"question_id\": \"27993\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27994\",\n \"answer\": \"Kingston upon Thames\"\n },\n {\n \"question_id\": \"27995\",\n \"answer\": \"Roads, mineral extraction licensing, education, strategic waste and recycling infrastructure, birth, marriage, and death registration, and social and children's services.\"\n },\n {\n \"question_id\": \"27996\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"27997\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27998\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"27999\",\n \"answer\": \"The dissolution of Middlesex\"\n },\n {\n \"question_id\": \"28000\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28001\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TWO. \n\nSTRONG EMOTIONS ARE SUCCEEDED BY SUPPER, AND FOLLOWED BY DISCUSSIONS ON DISCOVERY, WHICH END IN A WILD ALARM! \n\nWhen Karlsefin had been introduced to Leif Ericsson, the former turned round and presented to him and Biarne his friend Thorward, the captain of the other ship. Thorward was not a tall man, but was very broad and stout, and had a firm yet pleasing cast of countenance. Both Thorward and Karlsefin were men of about thirty-five years of age. \n\n\"Are you not on viking-cruise?\" asked Leif as they walked up to the house together, while the male members of his household and the men of the settlement assisted the crews to moor the ships. \n\n\"No; my friend Thorward and I are not men of war. We prefer the peaceful occupation of the merchant, and, to say truth, it is not unprofitable.\" \n\n\"I would that more were of your way of thinking,\" said Leif. \"I do not love the bloody game of war, and glad am I that we have got into a quiet corner here in Greenland, where there is small occasion for it. Biarne, too, is of our way of thinking, as no doubt you already know.\" \n\n\"He has often told me so, and, if I mistake not, has feathered his nest well by merchanting.\" \n\n\"He has,\" answered Biarne for himself, with a laugh. \n\nWhile they thus advanced, talking, little Olaf had kept walking in front of the tall stranger, looking up into his face with unbounded admiration. He had never before seen any man so magnificent. His father and Biarne, whom he had hitherto regarded as perfect specimens of mankind, were quite eclipsed. Looking backward and walking forward is an unsafe process at any time. So Olaf found it on the present occasion, for he tripped over a stone and in falling hit his little nose with such violence that it soon became a big nose, and bled profusely. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12164\": \"Who were the two captains?\"\n },\n {\n \"12165\": \"Who did they meet?\"\n },\n {\n \"12166\": \"Who was with him?\"\n },\n {\n \"12167\": \"Was someone's son with them?\"\n },\n {\n \"12168\": \"Whose?\"\n },\n {\n \"12169\": \"What was his name?\"\n },\n {\n \"12170\": \"What happened to him?\"\n },\n {\n \"12171\": \"why?\"\n },\n {\n \"12172\": \"Are Karlsefin and Thorwards fighters?\"\n },\n {\n \"12173\": \"What are they?\"\n },\n {\n \"12174\": \"Do they make good money?\"\n },\n {\n \"12175\": \"Does Leif like war?\"\n },\n {\n \"12176\": \"Does he wish more people hated war?\"\n },\n {\n \"12177\": \"Where does he live?\"\n },\n {\n \"12178\": \"How old are the men?\"\n },\n {\n \"12179\": \"Who else is a merchant?\"\n },\n {\n \"12180\": \"Does he make a lot of money?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12164\",\n \"answer\": \"Thorward and Karlsefin\"\n },\n {\n \"question_id\": \"12165\",\n \"answer\": \"Leif Ericsson\"\n },\n {\n \"question_id\": \"12166\",\n \"answer\": \"Biarne\"\n },\n {\n \"question_id\": \"12167\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12168\",\n \"answer\": \"Karlsefin\"\n },\n {\n \"question_id\": \"12169\",\n \"answer\": \"Olaf\"\n },\n {\n \"question_id\": \"12170\",\n \"answer\": \"He tripped.\"\n },\n {\n \"question_id\": \"12171\",\n \"answer\": \"He was looking backward while walking forward\"\n },\n {\n \"question_id\": \"12172\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12173\",\n \"answer\": \"Merchants.\"\n },\n {\n \"question_id\": \"12174\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12175\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12176\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12177\",\n \"answer\": \"Greenland.\"\n },\n {\n \"question_id\": \"12178\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"12179\",\n \"answer\": \"Biarne\"\n },\n {\n \"question_id\": \"12180\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- When David Green, 22, graduated from Western Washington University in December, he applied for dozens of jobs, from fast food to secretarial positions -- sending out more than 50 resumes and scoring only two interviews in the process. \n\nThe organization Reach to Teach has seen a 100 percent increase in applications to teach English in Asia. \n\n\"It was horrible. I couldn't find anything,\" said Green, a history and social studies major. \n\nWith few employment options in his hometown of Bellingham, Washington, Green applied to teach English in a South Korean middle school through Reach to Teach, an organization that assists college graduates with finding teaching positions in Asia. Green, who counts trips to Canada as his only experience abroad, will be leaving for Seoul on March 20 for one year. \n\n\"I am scared. I've only had one major breakdown so far, ... but I'm really excited about being on my own ... somewhere completely new where I know absolutely no one,\" he said. \n\nLike Green, many recent college graduates are searching for alternatives to jumping into the job market in the face of the recession. An increasing number of young Americans are searching out paid positions teaching English in countries like South Korea, Japan, China and Spain as a means to expand their horizons and weather the economic doldrums. \n\nMitch Gordon, director of school relations for Reach to Teach, said his organization has seen more than a 100 percent increase in applications in the last six months, with 3,784 applicants compared to 1,488 during the same six-month period last year. The application system doesn't track U.S. applicants separately, but Gordon estimates more than 70 percent are from the United States. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94229\": \"What is the main organization featured in this article?\"\n },\n {\n \"94230\": \"What do they do?\"\n },\n {\n \"94231\": \"Where at?\"\n },\n {\n \"94232\": \"Who decided to use this resource?\"\n },\n {\n \"94233\": \"How old is he?\"\n },\n {\n \"94234\": \"Where did he attend school?\"\n },\n {\n \"94235\": \"Did he get a position using Reach to Teach?\"\n },\n {\n \"94236\": \"Where?\"\n },\n {\n \"94237\": \"What country is that in?\"\n },\n {\n \"94238\": \"Is he happy?\"\n },\n {\n \"94239\": \"Is David the only person having trouble finding a job?\"\n },\n {\n \"94240\": \"Why are they having trouble?\"\n },\n {\n \"94241\": \"Where are young people looking for jobs?\"\n },\n {\n \"94242\": \"Who is in charge of the outreach program we are talking about?\"\n },\n {\n \"94243\": \"Have the applications increased for work?\"\n },\n {\n \"94244\": \"By how much?\"\n },\n {\n \"94245\": \"In how much of a time span?\"\n },\n {\n \"94246\": \"Are all the applicants American?\"\n },\n {\n \"94247\": \"About how many are from the United States?\"\n },\n {\n \"94248\": \"How many resumes did David send out?\"\n },\n {\n \"94249\": \"How many face to faces did he get from there?\"\n },\n {\n \"94250\": \"Given that he is a college grad, did he apply for some jobs he was overqualified to do?\"\n },\n {\n \"94251\": \"What ones?\"\n },\n {\n \"94252\": \"When does he leave for Seoul?\"\n },\n {\n \"94253\": \"How long will he be gone?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94229\",\n \"answer\": \"Reach to Teach\"\n },\n {\n \"question_id\": \"94230\",\n \"answer\": \"Assists college graduates with finding teaching positions.\"\n },\n {\n \"question_id\": \"94231\",\n \"answer\": \"Asia\"\n },\n {\n \"question_id\": \"94232\",\n \"answer\": \"David Green\"\n },\n {\n \"question_id\": \"94233\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"94234\",\n \"answer\": \"Western Washington University\"\n },\n {\n \"question_id\": \"94235\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94236\",\n \"answer\": \"Seoul\"\n },\n {\n \"question_id\": \"94237\",\n \"answer\": \"South Korea\"\n },\n {\n \"question_id\": \"94238\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94239\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"94240\",\n \"answer\": \"Because of the recession.\"\n },\n {\n \"question_id\": \"94241\",\n \"answer\": \"South Korea, Japan, China, and Spain\"\n },\n {\n \"question_id\": \"94242\",\n \"answer\": \"Mitch Gordon\"\n },\n {\n \"question_id\": \"94243\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"94244\",\n \"answer\": \"100%\"\n },\n {\n \"question_id\": \"94245\",\n \"answer\": \"6 months\"\n },\n {\n \"question_id\": \"94246\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"94247\",\n \"answer\": \"More than 70 percent.\"\n },\n {\n \"question_id\": \"94248\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"94249\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"94250\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94251\",\n \"answer\": \"Fast food\"\n },\n {\n \"question_id\": \"94252\",\n \"answer\": \"On March 20th.\"\n },\n {\n \"question_id\": \"94253\",\n \"answer\": \"1 year.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The International Date Line (IDL) is an imaginary line of navigation on the surface of the Earth that runs from the North Pole to the South Pole and demarcates the change of one calendar day to the next. It passes through the middle of the Pacific Ocean, roughly following the 180° line of longitude but deviating to pass around some territories and island groups. \n\nThe IDL is roughly based on the meridian of 180° longitude, roughly down the middle of the Pacific Ocean, and halfway around the world from the Greenwich meridian. In many places, the IDL follows the 180° meridian exactly. In other places, however, the IDL deviates east or west away from that meridian. These various deviations generally accommodate the political and/or economic affiliations of the affected areas. \n\nProceeding from north to south, the first deviation of the IDL from 180° is to pass to the east of Wrangel Island and the Chukchi Peninsula, the easternmost part of Russian Siberia. (Wrangel Island lies directly on the meridian at 71°32′N 180°0′E, also noted as 71°32′N 180°0′W.) It then passes through the Bering Strait between the Diomede Islands at a distance of from each island at 168°58′37″ W. It then bends considerably west of 180°, passing west of St. Lawrence Island and St. Matthew Island.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74928\": \"what is the meridian longitude of the IDL?\"\n },\n {\n \"74929\": \"what does IDL stand for?\"\n },\n {\n \"74930\": \"can people see it?\"\n },\n {\n \"74931\": \"what poles dose it run from\"\n },\n {\n \"74932\": \"what does it mark?\"\n },\n {\n \"74933\": \"does it run through a large body of water?\"\n },\n {\n \"74934\": \"what one?\"\n },\n {\n \"74935\": \"does it ever deviate course?\"\n },\n {\n \"74936\": \"where is the first place that happens?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74928\",\n \"answer\": \"180\\u00b0\"\n },\n {\n \"question_id\": \"74929\",\n \"answer\": \"The International Date Line\"\n },\n {\n \"question_id\": \"74930\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74931\",\n \"answer\": \"North Poleto South\"\n },\n {\n \"question_id\": \"74932\",\n \"answer\": \"one calendar day to the next\"\n },\n {\n \"question_id\": \"74933\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74934\",\n \"answer\": \"Pacific Ocean\"\n },\n {\n \"question_id\": \"74935\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74936\",\n \"answer\": \"east of Wrangel Island\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Telecommuncations in the United Kingdom have evolved from the early days of the telegraph to modern broadband and mobile phone networks with Internet services. \n\nNational Telephone Company (NTC) was a British telephone company from 1881 until 1911 which brought together smaller local companies in the early years of the telephone. Under the Telephone Transfer Act 1911 it was taken over by the General Post Office (GPO) in 1912. \n\nUntil 1982, the main civil telecommunications system in the UK was a state monopoly known (since reorganisation in 1969) as Post Office Telecommunications. Broadcasting of radio and television was a duopoly of the BBC and Independent Broadcasting Authority (IBA): these two organisations controlled all broadcast services, and directly owned and operated the broadcast transmitter sites. Mobile phone and Internet services did not then exist. The civil telecoms monopoly ended when Mercury Communications arrived in 1983. The Post Office system evolved into British Telecom and was privatised in 1984. Broadcast transmitters, which belonged to the BBC and IBA, were privatised during the 1990s and now belong to Babcock International and Arqiva. \n\nBritish Rail Telecommunications was created in 1992 by British Rail (BR). It was the largest private telecoms network in Britain, consisting of 17,000 route kilometres of fibre optic and copper cable which connected every major city and town in the country and provided links to continental Europe through the Channel Tunnel. BR also operated its own national trunked radio network providing dedicated train-to-shore mobile communications, and in the early 1980s BR helped establish Mercury Communications’, now C&WC, core infrastructure by laying a resilient ‘figure-of-eight’ fibre optic network alongside Britain’s railway lines, spanning London, Bristol, Birmingham, Leeds and Manchester.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21502\": \"What was made in 1992?\"\n },\n {\n \"21503\": \"By who?\"\n },\n {\n \"21504\": \"When that happened, how many private telecoms networks in the UK were larger?\"\n },\n {\n \"21505\": \"Did it have over 10,000 kilometers of cables?\"\n },\n {\n \"21506\": \"What types of cable were used?\"\n },\n {\n \"21507\": \"Did it connect all the big cities?\"\n },\n {\n \"21508\": \"Was it connected to the Channel Tunnel?\"\n },\n {\n \"21509\": \"What kind of network did it lay along the railroad tracks in the early '80s?\"\n },\n {\n \"21510\": \"What company did that help to establish?\"\n },\n {\n \"21511\": \"Did it go all the way to Manchester?\"\n },\n {\n \"21512\": \"What communications system was in Britain prior to 1982?\"\n },\n {\n \"21513\": \"Did they have any competition?\"\n },\n {\n \"21514\": \"How many organizations controlled radio and TV?\"\n },\n {\n \"21515\": \"What was one?\"\n },\n {\n \"21516\": \"And the other?\"\n },\n {\n \"21517\": \"What broke up the monopoly?\"\n },\n {\n \"21518\": \"What year did that occur?\"\n },\n {\n \"21519\": \"Who owns the transmitters now?\"\n },\n {\n \"21520\": \"When was NTC around?\"\n },\n {\n \"21521\": \"Who took over then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21502\",\n \"answer\": \"British Rail Telecommunications\"\n },\n {\n \"question_id\": \"21503\",\n \"answer\": \"British Rail\"\n },\n {\n \"question_id\": \"21504\",\n \"answer\": \"None\"\n },\n {\n \"question_id\": \"21505\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21506\",\n \"answer\": \"fibre optic and copper\"\n },\n {\n \"question_id\": \"21507\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21508\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21509\",\n \"answer\": \"a resilient \\u2018figure-of-eight\\u2019 fibre optic network\"\n },\n {\n \"question_id\": \"21510\",\n \"answer\": \"Mercury Communications\"\n },\n {\n \"question_id\": \"21511\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21512\",\n \"answer\": \"Post Office Telecommunications\"\n },\n {\n \"question_id\": \"21513\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21514\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"21515\",\n \"answer\": \"the BBC\"\n },\n {\n \"question_id\": \"21516\",\n \"answer\": \"Independent Broadcasting Authority\"\n },\n {\n \"question_id\": \"21517\",\n \"answer\": \"Mercury Communications\"\n },\n {\n \"question_id\": \"21518\",\n \"answer\": \"1983.\"\n },\n {\n \"question_id\": \"21519\",\n \"answer\": \"Babcock International and Arqiva\"\n },\n {\n \"question_id\": \"21520\",\n \"answer\": \"1881 until 1911\"\n },\n {\n \"question_id\": \"21521\",\n \"answer\": \"the General Post Office\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Victoria and Albert Museum (often abbreviated as the V&A), London, is the world's largest museum of decorative arts and design, housing a permanent collection of over 4.5 million objects. It was founded in 1852 and named after Queen Victoria and Prince Albert. The V&A is located in the Brompton district of the Royal Borough of Kensington and Chelsea, in an area that has become known as \"Albertopolis\" because of its association with Prince Albert, the Albert Memorial and the major cultural institutions with which he was associated. These include the Natural History Museum, the Science Museum and the Royal Albert Hall. The museum is a non-departmental public body sponsored by the Department for Culture, Media and Sport. Like other national British museums, entrance to the museum has been free since 2001. \n\nThe V&A covers 12.5 acres (51,000 m2) and 145 galleries. Its collection spans 5,000 years of art, from ancient times to the present day, from the cultures of Europe, North America, Asia and North Africa. The holdings of ceramics, glass, textiles, costumes, silver, ironwork, jewellery, furniture, medieval objects, sculpture, prints and printmaking, drawings and photographs are among the largest and most comprehensive in the world. The museum owns the world's largest collection of post-classical sculpture, with the holdings of Italian Renaissance items being the largest outside Italy. The departments of Asia include art from South Asia, China, Japan, Korea and the Islamic world. The East Asian collections are among the best in Europe, with particular strengths in ceramics and metalwork, while the Islamic collection is amongst the largest in the Western world. Overall, it is one of the largest museums in the world.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9076\": \"Where is the V&A?\"\n },\n {\n \"9077\": \"What's it stand for?\"\n },\n {\n \"9078\": \"Is it big?\"\n },\n {\n \"9079\": \"Who founded it?\"\n },\n {\n \"9080\": \"When?\"\n },\n {\n \"9081\": \"Who was it named after?\"\n },\n {\n \"9082\": \"How many acres does it cover?\"\n },\n {\n \"9083\": \"How many galleries does it have?\"\n },\n {\n \"9084\": \"And how many years of art does it cover?\"\n },\n {\n \"9085\": \"Does it contain any artwork from ancient times?\"\n },\n {\n \"9086\": \"Which department has stuff from the Islamic world?\"\n },\n {\n \"9087\": \"Are the East Asian collections any good?\"\n },\n {\n \"9088\": \"Which collection is amongst the largest in the Western World?\"\n },\n {\n \"9089\": \"Who sponsors the museum as a whole?\"\n },\n {\n \"9090\": \"Does it cost money to enter the museum?\"\n },\n {\n \"9091\": \"How long as it been free?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9076\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"9077\",\n \"answer\": \"The Victoria and Albert Museum\"\n },\n {\n \"question_id\": \"9078\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9079\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"9080\",\n \"answer\": \"1852\"\n },\n {\n \"question_id\": \"9081\",\n \"answer\": \"Queen Victoria and Prince Albert\"\n },\n {\n \"question_id\": \"9082\",\n \"answer\": \"12.5\"\n },\n {\n \"question_id\": \"9083\",\n \"answer\": \"145\"\n },\n {\n \"question_id\": \"9084\",\n \"answer\": \"5000\"\n },\n {\n \"question_id\": \"9085\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9086\",\n \"answer\": \"Asia\"\n },\n {\n \"question_id\": \"9087\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9088\",\n \"answer\": \"Islamic\"\n },\n {\n \"question_id\": \"9089\",\n \"answer\": \"Department for Culture, Media and Sport.\"\n },\n {\n \"question_id\": \"9090\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"9091\",\n \"answer\": \"2001\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XII. \n\nTONY ON THE WAR-PATH. \n\n\"She did it all,\" said Harry, when they had told the tale to half the village, on the store-porch. \n\n\"I!\" exclaimed Kate. \"Rob, you mean.\" \n\n\"That's a good dog,\" said Mr. Darby, the storekeeper; \"what'll you take for him?\" \n\n\"Not for sale,\" said Harry. \n\n\"Rob's all very well,\" remarked Tony Kirk; \"but it won't do to have a feller like that in the woods, a fright'nin' the children. I'd like to know who he is.\" \n\nJust at this moment Uncle Braddock made his appearance, hurrying along much faster than he usually walked, with his eyes and teeth glistening in the sunshine. \n\n\"I seed him!\" he cried, as soon as he came up. \n\n\"Who'd you see?\" cried several persons. \n\n\"Oh! I seed de dog after him, and I come along as fas' as I could, but couldn't come very fas'. De ole wrapper cotch de wind.\" \n\n\"Who was it?\" asked Tony. \n\n\"I seed him a-runnin'. Bress my soul! de dog like to got him!\" \n\n\"But who was he, Uncle Braddock?\" said Mr. Loudon, who had just reached the store from his house, where Kate, who had run home, had told the story. \"Do you know him?\" \n\n\"Know him? Reckon I does?\" said Uncle Braddock, \"an' de dog ud a knowed him too, ef he'd a cotched him! Dat's so, Mah'sr John.\" \n\n\"Well, tell us his name, if you know him,\" said Mr. Darby. \n\n\"Ob course, I knows him,\" said Uncle Braddock. \"I'se done knowed him fur twenty or fifty years. He's George Mason.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24298\": \"Who wants to buy the dog?\"\n },\n {\n \"24299\": \"What's the price?\"\n },\n {\n \"24300\": \"What was the problem with Rob?\"\n },\n {\n \"24301\": \"Who was walking quickly?\"\n },\n {\n \"24302\": \"Who did Uncle Braddock see?\"\n },\n {\n \"24303\": \"Did Uncle Braddock recognize the man?\"\n },\n {\n \"24304\": \"What's his name?\"\n },\n {\n \"24305\": \"How long did they know each other?\"\n },\n {\n \"24306\": \"What was Mr. Darby's job?\"\n },\n {\n \"24307\": \"Was it a sunny day?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24298\",\n \"answer\": \"Mr. Darby\"\n },\n {\n \"question_id\": \"24299\",\n \"answer\": \"Not for sale\"\n },\n {\n \"question_id\": \"24300\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24301\",\n \"answer\": \"Uncle Braddock\"\n },\n {\n \"question_id\": \"24302\",\n \"answer\": \"the dog\"\n },\n {\n \"question_id\": \"24303\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24304\",\n \"answer\": \"George Mason\"\n },\n {\n \"question_id\": \"24305\",\n \"answer\": \"twenty or fifty years\"\n },\n {\n \"question_id\": \"24306\",\n \"answer\": \"storekeeper\"\n },\n {\n \"question_id\": \"24307\",\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 Seoul, South Korea (CNN) -- Korean is considered one of the hardest languages in the world to master, but an elephant in a South Korean zoo is making a good start. \n\nKoshik, a 22-year-old Asian elephant has stunned experts and his keepers at Everland Zoo near Seoul by imitating human speech. Koshik can say the Korean words for \"hello,\" \"sit down,\" \"no,\" \"lie down\" and \"good.\" His trainer, Kim Jong Gap, first started to realize Koshik was mimicking him several years ago. \n\n\"\"In 2004 and 2005, Kim didn't even know that the human voice he heard at the zoo was actually from Koshik,\" zoo spokesman In Kim In Cherl said. \"But in 2006, he started to realize that Koshik had been imitating his voice and mentioned it to his boss.\" \n\nWhy do elephants have hair on their heads? \n\nHis boss initially called him \"crazy.\" \n\nKoshik's remarkable antics grabbed the interest of an elephant vocalization expert thousands of kilometers away at the University of Vienna in Austria. \n\n\"\"There was a YouTube video about Koshik vocalizing, and I was not sure if it was a fake, or if it was real,\" Dr. Angela Stoeger-Horwath said. She traveled with fellow expert Dr. Daniel Mietchen to South Korea in 2010 to test the elephant's ability. They recorded Koshik repeating certain words his keeper said and then played them for native Korean speakers to see, if they were recognizable. \n\n\"It is, for some of the sounds he makes, quite astonishing for how similar they are,\" said Mietchen of the University of Jena in Germany. \"For instance the word 'choa' (meaning good) -- if you hear it right after what the keeper says -- it's quite similar.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7183\": \"What grabbed expert's interest?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7183\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III \n\nLISTER CLEARS THE GROUND \n\nThe sun was on the rocks and the lichen shone in rings of soft and varied color. Blue shadows filled the dale, which, from the side of the Buttress, looked profoundly deep. A row of young men and women followed a ledge that crossed the face of the steep crag; Mortimer Hyslop leading, a girl and Vernon a few yards behind, Lister and Barbara farther off. \n\nHyslop knew the rocks and was a good leader. He was cool and cautious and did not undertake a climb until he was satisfied about his companions' powers. The slanting edge looked dangerous, but was not, although one must be steady and there was an awkward corner. At the turning, the ledge got narrow, and one must seize a knob and then step lightly on a stone embedded in mossy soil. \n\nWhen they reached the spot Hyslop stopped and told Vernon what to do; the girl immediately behind him was a clever mountaineer. They went round and Lister watched from a few yards off. For a moment or two each in turn, supported by one foot with body braced against the rock, grasped the knob and vanished round the corner. It was plain one must get a firm hold, but Lister thought this was all. He was used to the tall skeleton trestles that carried the rails across Canadian ravines. \n\nAfter the others disappeared Lister seized the knob. He thought the stone he stood on moved and he cautiously took a heavier strain on his arm. He could get across, but he obeyed an impulse and gave the stone a push. It rolled out and, when he swung himself back to the ledge, plunged down and smashed upon the rocks below. For a few moments the echoes rolled about the crags, and then Hyslop shouted: \"Are you all right? Can you get round?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32875\": \"what kind of leader was Hyslop?\"\n },\n {\n \"32876\": \"what made him a good leader?\"\n },\n {\n \"32877\": \"who was following him?\"\n },\n {\n \"32878\": \"who else?\"\n },\n {\n \"32879\": \"who was further behind them?\"\n },\n {\n \"32880\": \"what happened when they reached the spot?\"\n },\n {\n \"32881\": \"what did Lister do?\"\n },\n {\n \"32882\": \"what did he do after all the others were gone?\"\n },\n {\n \"32883\": \"what was the group following?\"\n },\n {\n \"32884\": \"was it crossing something?\"\n },\n {\n \"32885\": \"how did they go around the corner?\"\n },\n {\n \"32886\": \"what was obvious they needed to do to do this?\"\n },\n {\n \"32887\": \"what was Lister used to?\"\n },\n {\n \"32888\": \"what did Lister fear happened when he moved?\"\n },\n {\n \"32889\": \"what did he do to the stone?\"\n },\n {\n \"32890\": \"did it move?\"\n },\n {\n \"32891\": \"did anyone hear it fall?\"\n },\n {\n \"32892\": \"Did anyone check on Lister?\"\n },\n {\n \"32893\": \"what did they say?\"\n },\n {\n \"32894\": \"what happened when the rock fell?\"\n },\n {\n \"32895\": \"What did Hyslop always do before a climb?\"\n },\n {\n \"32896\": \"was the edge safe?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32875\",\n \"answer\": \"good\"\n },\n {\n \"question_id\": \"32876\",\n \"answer\": \"He was cool and cautious\"\n },\n {\n \"question_id\": \"32877\",\n \"answer\": \"a girl\"\n },\n {\n \"question_id\": \"32878\",\n \"answer\": \"Vernon\"\n },\n {\n \"question_id\": \"32879\",\n \"answer\": \"Lister and Barbara\"\n },\n {\n \"question_id\": \"32880\",\n \"answer\": \"Hyslop stopped and told Vernon what to do\"\n },\n {\n \"question_id\": \"32881\",\n \"answer\": \"watched\"\n },\n {\n \"question_id\": \"32882\",\n \"answer\": \"he seized the knob\"\n },\n {\n \"question_id\": \"32883\",\n \"answer\": \"a ledge\"\n },\n {\n \"question_id\": \"32884\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32885\",\n \"answer\": \"one must seize a knob and then step lightly on a stone\"\n },\n {\n \"question_id\": \"32886\",\n \"answer\": \"a firm hold\"\n },\n {\n \"question_id\": \"32887\",\n \"answer\": \"tall skeleton trestles\"\n },\n {\n \"question_id\": \"32888\",\n \"answer\": \"He thought the stone he stood on moved\"\n },\n {\n \"question_id\": \"32889\",\n \"answer\": \"gave it a push.\"\n },\n {\n \"question_id\": \"32890\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32891\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32892\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32893\",\n \"answer\": \"Are you all right? Can you get round?\"\n },\n {\n \"question_id\": \"32894\",\n \"answer\": \"it smashed upon the rocks below\"\n },\n {\n \"question_id\": \"32895\",\n \"answer\": \"make sure he was satisfied about his companions' powers.\"\n },\n {\n \"question_id\": \"32896\",\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 XXVI \n\nTHE BAXTERS TRY TO MAKE TERMS \n\nFor the moment after Tom found himself in the presence of the Baxters he could not speak. Then he turned fiercely upon Bill Noxton. \n\n\"You have fooled me!\" he cried hotly. \n\n\"That's right,\" laughed Noxton sarcastically. \n\n\"And let me add, ye was fooled putty easy.\" \n\n\"It's Tom Rover!\" ejaculated Dan Baxter, as he leaped to his feet, followed by his parent. \"Where did you find him, Noxton; over to that fire?\" \n\n\"Yes.\" \n\n\"Were the others of the party with him?\" put in Arnold Baxter quickly. \n\n\"No, he was alone. He got lost from the rest last night, when they gave us the slip in the dark.\" \n\n\"Then you have seen nothing of the others?\" said Arnold Baxter, and it was plain to see that he was keenly disappointed. \n\n\"No, but I reckon they can't be far off,\" replied Noxton. \n\nSeeing that Tom contemplated running away, he made the youth dismount. \"Better make a prisoner of him,\" he suggested. \n\n\"By all means!\" cried Dan Baxter, and brought forth a stout lariat. With this Toni's hands were bound behind him, and his feet were also secured. \n\n\"That's number one, Roebuck,\" laughed Arnold Baxter, turning to the man who had thus far remained silent. \n\n\"Tom Rover?\" asked the man laconically. \n\n\"Yes.\" \n\n\"A bright-looking chap.\" \n\n\"Oh, he's bright enough,\" growled Baxter senior. \n\n\"But it won't help him any,\" put in Dan, bound to say something. \n\n\"Is he the oldest of the three?\" \n\n\"No, Dick is the oldest. Tom comes next.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46723\": \"Who fooled Tom?\"\n },\n {\n \"46724\": \"What did Bill say when Tom yelled at him?\"\n },\n {\n \"46725\": \"What is Tom's last name?\"\n },\n {\n \"46726\": \"Had he seen the others?\"\n },\n {\n \"46727\": \"Why was he alone?\"\n },\n {\n \"46728\": \"Who's hands were tied?\"\n },\n {\n \"46729\": \"What else was tied?\"\n },\n {\n \"46730\": \"What number was it?\"\n },\n {\n \"46731\": \"Who pointed out that he was smart enough?\"\n },\n {\n \"46732\": \"Who is older?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46723\",\n \"answer\": \"Bill Noxton\"\n },\n {\n \"question_id\": \"46724\",\n \"answer\": \"\\\"That's right,\\\"\"\n },\n {\n \"question_id\": \"46725\",\n \"answer\": \"Rover\"\n },\n {\n \"question_id\": \"46726\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"46727\",\n \"answer\": \"He got lost from the rest\"\n },\n {\n \"question_id\": \"46728\",\n \"answer\": \"Toni's\"\n },\n {\n \"question_id\": \"46729\",\n \"answer\": \"his feet\"\n },\n {\n \"question_id\": \"46730\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"46731\",\n \"answer\": \"Baxter senior\"\n },\n {\n \"question_id\": \"46732\",\n \"answer\": \"Dick\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CBC Canada , CTV News A group of Canadian kids are spreading a bit of Christmas spirit in Halifax, Nova Scotia, by covering warm clothes around light poles for the city's homeless people to pick up and use. _ was such an unusual sight that locals stopped to take pictures to share on social media . Every year, Tara Atkins-Smith collects warm clothes from her community in order to help the less lucky. This year, since the family was traveling to Halifax with their daughter Jayda and seven of her friends to celebrate her 8thbirthday Tara thought it was the perfect time to teach the chidren a valuable life lesson. The kids spent time handing out coats to the homeless and tied the rest around light poles for others to pick up. Each of the clothes had a tag that read, \"I am not lost. If you are caught in the cold, please take me to keep warm. \" According to Tara, the experience helped the children better understand the difficult situation of homeless people, who have to brave the cold winter on the streets. \"When we got back in the car after an hour on the street, they were all freezing cold and crying for the heater to be on because they were cold , \" she said. By next morning, all the jackets, gloves, and scarves on the poles were gone. Photos of the inspriring project have been shared about 8, 000 times on Facebook, and have got over10,000 likes. Tara, who did something similar in Toronto in December last year, says she's already planning next year's coat drive. She hopes that the meaningful thing can spread around the world, and she also wants to add $5 fast food gift card so that the homeless people can also enjoy a hot meal. \"We've got help from others when we were in need, and we knew how great it made us feel,\" said Zackary Atkins, Tara's husband.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13137\": \"what happened in this year\"\n },\n {\n \"13138\": \"who is celebrating birthday of 8years\"\n },\n {\n \"13139\": \"where were they travelliing to\"\n },\n {\n \"13140\": \"was their photo posted on social media\"\n },\n {\n \"13141\": \"do people love the picture\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13137\",\n \"answer\": \"a coat drive\"\n },\n {\n \"question_id\": \"13138\",\n \"answer\": \"Jayda\"\n },\n {\n \"question_id\": \"13139\",\n \"answer\": \"Halifax\"\n },\n {\n \"question_id\": \"13140\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13141\",\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 X. -- FRIEDRICH DOES HIS MORAVIAN EXPEDITION WHICH PROVES A MERE MORAVIAN FORAY. \n\nWhile these Coronation splendors had been going on, Friedrich, in the Moravian regions, was making experiences of a rather painful kind; his Expedition prospering there far otherwise than he had expected. This winter Expedition to Mahren was one of the first Friedrich had ever undertaken on the Joint-stock Principle; and it proved of a kind rather to disgust him with that method in affairs of war. \n\nA deeply disappointing Expedition. The country hereabouts was in bad posture of defence; nothing between us and Vienna itself, in a manner. Rushing briskly forward, living on the country where needful, on that Iglau Magazine, on one's own Sechelles resources; rushing on, with the Saxons, with the French, emulous on the right hand and the left, a Captain like Friedrich might have gone far; Vienna itself--who knows!--not yet quite beyond the reach of him. Here was a way to check Khevenhuller in his Bavarian Operations, and whirl him back, double-quick, for another object nearer home!--But, alas, neither the Saxons nor the French would rush on, in the least emulous. The Saxons dragged heavily arear; the French Detachment (a poor 5,000 under Polastron, all that a captious Broglio could be persuaded to grant) would not rush at all, but paused on the very frontier of Moravia, Broglio so ordering, and there hung supine, or indeed went home. \n\nFriedrich remonstrated, argued, turned back to encourage; but it was in vain. The Saxon Bastard Princes \"lived for days in any Schloss they found comfortable;\" complaining always that there was no victual for their Troops; that the Prussians, always ahead, had eaten the country. No end to haggling; and, except on Friedrich's part, no hearty beginning to real business. \"If you wish at all to be 'King of Moravia,' what is this!\" thinks Friedrich justly. Broglio, too, was unmanageable,--piqued that Valori, not Broglio, had started the thing;--showed himself captious, dark, hysterically effervescent, now over-cautious, and again capable of rushing blindly headlong. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97015\": \"what kind of experiences is Friedrich having?\"\n },\n {\n \"97016\": \"what did the princes complain about?\"\n },\n {\n \"97017\": \"were they ahead or behindd the prussians?\"\n },\n {\n \"97018\": \"what did the prussians do?\"\n },\n {\n \"97019\": \"who else was hard to manage?\"\n },\n {\n \"97020\": \"what was he mad about?\"\n },\n {\n \"97021\": \"where did the French Detachment stop?\"\n },\n {\n \"97022\": \"who was not interested in rushing?\"\n },\n {\n \"97023\": \"what was one of the first Friedrich took under the Joint-stock Principle?\"\n },\n {\n \"97024\": \"how did he feel about this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97015\",\n \"answer\": \"disappointing\"\n },\n {\n \"question_id\": \"97016\",\n \"answer\": \"that there was no victual for their Troops\"\n },\n {\n \"question_id\": \"97017\",\n \"answer\": \"behind\"\n },\n {\n \"question_id\": \"97018\",\n \"answer\": \"eaten the country\"\n },\n {\n \"question_id\": \"97019\",\n \"answer\": \"Broglio\"\n },\n {\n \"question_id\": \"97020\",\n \"answer\": \"that he had started the thing\"\n },\n {\n \"question_id\": \"97021\",\n \"answer\": \"frontier of Moravia\"\n },\n {\n \"question_id\": \"97022\",\n \"answer\": \"the French Detachment\"\n },\n {\n \"question_id\": \"97023\",\n \"answer\": \"Mahren\"\n },\n {\n \"question_id\": \"97024\",\n \"answer\": \"digusted\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 man who dared to boldly go where no one had gone before has revealed that he can't go as many places as he used to. \n\n\"I'm doing OK,\" Leonard Nimoy tweeted Friday. \"Just can't walk distances. Love my life, family, friends and followers.\" \n\nNimoy announced last week that he has been diagnosed with chronic obstructive pulmonary disease -- 30 years after having given up cigarettes. \n\n\"Not soon enough,\" tweeted the 82-year-old actor and director who played Spock, the half-human science officer aboard the Starship Enterprise from 1966 to 1969 on the TV series \"Star Trek\" and in movies during the decades since. \"I have COPD. Grandpa says, quit now!!! LLAP.\" \n\nThe last reference is to his signature phrase, \"Live long and prosper.\" \n\nNimoy, who told an interviewer last year that he flunked chemistry in high school, may not have grasped the long-term risks associated with smoking, but his announcement is not surprising, said Dr. Richard Casaburi, a pulmonologist at Los Angeles Biomedical Research Institute in Torrance, California. \n\nSmoking could very well be responsible for the appearance of symptoms of COPD decades after quitting, because it is a progressive disease and lung function declines with age, said Casaburi, who is not involved with Nimoy's treatment. \n\nCOPD is the third-leading cause of death in the United States -- after heart disease and cancer -- and smoking is responsible for the vast majority of cases, he said. \n\nSome 12 million people in the United States have been diagnosed with the disease, and perhaps another 12 million have it, but don't know, he said, adding that about 30% of people who smoke will get clinically significant COPD. \"The mystery really is why everybody doesn't get it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97416\": \"Who is the man who dared to go to bold places where no body had gone?\"\n },\n {\n \"97417\": \"What sickness has he got?\"\n },\n {\n \"97418\": \"Is he still taking cigarettes or smoking?\"\n },\n {\n \"97419\": \"What's his last wordings?\"\n },\n {\n \"97420\": \"Who mentioned that his speaking out is kind of amazing?\"\n },\n {\n \"97421\": \"Where does he work at?\"\n },\n {\n \"97422\": \"Did he mention that COPD is the third reason for several people dying in the USA?\"\n },\n {\n \"97423\": \"How many individuals according to him already have it?\"\n },\n {\n \"97424\": \"What are the first 2 major causes of individuals dying in the USA according to him?\"\n },\n {\n \"97425\": \"Is he suggesting that this sickness is a puzzle?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97416\",\n \"answer\": \"Leonard Nimoy\"\n },\n {\n \"question_id\": \"97417\",\n \"answer\": \"Chronic obstructive pulmonary disease\"\n },\n {\n \"question_id\": \"97418\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97419\",\n \"answer\": \"LLAP\"\n },\n {\n \"question_id\": \"97420\",\n \"answer\": \"Dr. Richard Casaburi\"\n },\n {\n \"question_id\": \"97421\",\n \"answer\": \"Los Angeles Biomedical Research Institute\"\n },\n {\n \"question_id\": \"97422\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"97423\",\n \"answer\": \"12 million people in the US\"\n },\n {\n \"question_id\": \"97424\",\n \"answer\": \"Heart disease and cancer\"\n },\n {\n \"question_id\": \"97425\",\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 XX \n\nPLOTTING AGAINST DICK ROVER \n\n\"Gabe Werner!\" \n\n\"Where is he?\" \n\n\"Up the street,\" answered Randy. \"Come on after him.\" \n\n\"Who's the man you are after?\" questioned one of the men who had been interviewing Andy and Fred. \n\n\"He's a young fellow who once went to a military academy with us. He's a regular bully and did something for which he ought to be locked up,\" was Fred's reply, and then he rushed down into the street, following his three cousins. \n\n\"How can Gabe Werner be down here?\" questioned Andy. \"Why, we left him in New York City!\" \n\n\"I can't help that, Andy. It was Werner just as sure as I am standing here. I just happened to glance out of the window and saw him crossing the roadway. He turned his face straight toward me, and I couldn't help but recognize him.\" \n\n\"Where did he go?\" \n\n\"I'll point out the place when we get there.\" \n\nBy this time the four Rovers had left the boardwalk and were plowing along on the side of the road through mud that varied from an inch to six inches in depth. They had started to run, but were soon compelled to slow up. \n\n\"Gee, this is something fierce!\" panted Andy. \n\n\"Oh, you cinder path!\" chanted his twin. \"Wouldn't you like to do a hundred-yard dash on this road?\" \n\n\"It's not much farther,\" announced Jack. \"I saw him heading for that shack yonder.\" \n\nThe place he mentioned was a small building erected of rough boards, with a galvanized roof. They neared the shack to find two men sitting before it on a log smoking their pipes. They appeared somewhat startled. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39474\": \"Who were the men after?\"\n },\n {\n \"39475\": \"Who was being interviewed?\"\n },\n {\n \"39476\": \"Where did randy think he was?\"\n },\n {\n \"39477\": \"Why?\"\n },\n {\n \"39478\": \"How many rovers were there?\"\n },\n {\n \"39479\": \"From where did they depart?\"\n },\n {\n \"39480\": \"How deep did the mud reach?\"\n },\n {\n \"39481\": \"Where did Jack see Gabe heading?\"\n },\n {\n \"39482\": \"Where was it?\"\n },\n {\n \"39483\": \"What kind of top did the building have?\"\n },\n {\n \"39484\": \"Was it a large place?\"\n },\n {\n \"39485\": \"How many people were there?\"\n },\n {\n \"39486\": \"What were they doing?\"\n },\n {\n \"39487\": \"Smoking what?\"\n },\n {\n \"39488\": \"Where the guys expecting someone to show up?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39474\",\n \"answer\": \"Gabe Werner\"\n },\n {\n \"question_id\": \"39475\",\n \"answer\": \"Andy\"\n },\n {\n \"question_id\": \"39476\",\n \"answer\": \"New York City\"\n },\n {\n \"question_id\": \"39477\",\n \"answer\": \"we left him\"\n },\n {\n \"question_id\": \"39478\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"39479\",\n \"answer\": \"boardwalk\"\n },\n {\n \"question_id\": \"39480\",\n \"answer\": \"an inch to six inches\"\n },\n {\n \"question_id\": \"39481\",\n \"answer\": \"shack\"\n },\n {\n \"question_id\": \"39482\",\n \"answer\": \"yonder\"\n },\n {\n \"question_id\": \"39483\",\n \"answer\": \"galvanized\"\n },\n {\n \"question_id\": \"39484\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39485\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"39486\",\n \"answer\": \"smoking\"\n },\n {\n \"question_id\": \"39487\",\n \"answer\": \"pipes\"\n },\n {\n \"question_id\": \"39488\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Established originally by the Massachusetts legislature and soon thereafter named for John Harvard (its first benefactor), Harvard is the United States' oldest institution of higher learning, and the Harvard Corporation (formally, the President and Fellows of Harvard College) is its first chartered corporation. Although never formally affiliated with any denomination, the early College primarily trained Congregationalist and Unitarian clergy. Its curriculum and student body were gradually secularized during the 18th century, and by the 19th century Harvard had emerged as the central cultural establishment among Boston elites. Following the American Civil War, President Charles W. Eliot's long tenure (1869–1909) transformed the college and affiliated professional schools into a modern research university; Harvard was a founding member of the Association of American Universities in 1900. James Bryant Conant led the university through the Great Depression and World War II and began to reform the curriculum and liberalize admissions after the war. The undergraduate college became coeducational after its 1977 merger with Radcliffe College.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82195\": \"When did Harvard become coeducational?\"\n },\n {\n \"82196\": \"What was it a founding member of?\"\n },\n {\n \"82197\": \"Who was it originally established by?\"\n },\n {\n \"82198\": \"Who led the university through the Depression and World War II?\"\n },\n {\n \"82199\": \"Was it named after someone?\"\n },\n {\n \"82200\": \"Who?\"\n },\n {\n \"82201\": \"Who was he?\"\n },\n {\n \"82202\": \"Was Harvard formally affiliated with any denomination?\"\n },\n {\n \"82203\": \"Which president transformed it into a modern research university?\"\n },\n {\n \"82204\": \"Which college did it merge with?\"\n },\n {\n \"82205\": \"Is it the 3rd oldest university in the US?\"\n },\n {\n \"82206\": \"How old is it?\"\n },\n {\n \"82207\": \"Is it the oldest higher learning institution in the US?\"\n },\n {\n \"82208\": \"Who did the early college primarily train?\"\n },\n {\n \"82209\": \"What kind of clergy?\"\n },\n {\n \"82210\": \"When was the student body pretty much secularized?\"\n },\n {\n \"82211\": \"Who was it a central cultural establishment among?\"\n },\n {\n \"82212\": \"From what city?\"\n },\n {\n \"82213\": \"What years was president Eliot's tenure?\"\n },\n {\n \"82214\": \"Who liberalized admissions?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82195\",\n \"answer\": \"1977\"\n },\n {\n \"question_id\": \"82196\",\n \"answer\": \"Association of American Universities\"\n },\n {\n \"question_id\": \"82197\",\n \"answer\": \"Massachusetts legislature\"\n },\n {\n \"question_id\": \"82198\",\n \"answer\": \"James Bryant Conant\"\n },\n {\n \"question_id\": \"82199\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82200\",\n \"answer\": \"John Harvard\"\n },\n {\n \"question_id\": \"82201\",\n \"answer\": \"its first benefactor\"\n },\n {\n \"question_id\": \"82202\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82203\",\n \"answer\": \"President Charles W. Eliot\"\n },\n {\n \"question_id\": \"82204\",\n \"answer\": \"Radcliffe College\"\n },\n {\n \"question_id\": \"82205\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82206\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"82207\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82208\",\n \"answer\": \"Clergy\"\n },\n {\n \"question_id\": \"82209\",\n \"answer\": \"Congregationalist and Unitarian clergy\"\n },\n {\n \"question_id\": \"82210\",\n \"answer\": \"18th century\"\n },\n {\n \"question_id\": \"82211\",\n \"answer\": \"Elites\"\n },\n {\n \"question_id\": \"82212\",\n \"answer\": \"Boston\"\n },\n {\n \"question_id\": \"82213\",\n \"answer\": \"1869\\u20131909\"\n },\n {\n \"question_id\": \"82214\",\n \"answer\": \"James Bryant Conant\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII \n\nKIPPS ENTERS SOCIETY \n\n§1 \n\nSubmission to Inexorable Fate took Kipps to the Anagram Tea. \n\nAt any rate he would meet Helen there in the presence of other people and be able to carry off the worst of the difficulty of explaining his little jaunt to London. He had not seen her since his last portentous visit to New Romney. He was engaged to her, he would have to marry her, and the sooner he faced her again the better. Before wild plans of turning socialist, defying the world and repudiating all calling for ever, his heart on second thoughts sank. He felt Helen would never permit anything of the sort. As for the Anagrams he could do no more than his best and that he was resolved to do. What had happened at the Royal Grand, what had happened at New Romney, he must bury in his memory and begin again at the reconstruction of his social position. Ann, Buggins, Chitterlow, all these, seen in the matter-of-fact light of the Folkestone train, stood just as they stood before; people of an inferior social position who had to be eliminated from his world. It was a bother about Ann, a bother and a pity. His mind rested so for a space on Ann until the memory of these Anagrams drew him away. If he could see Coote that evening he might, he thought, be able to arrange some sort of connivance about the Anagrams, and his mind was chiefly busy sketching proposals for such an arrangement. It would not, of course, be ungentlemanly cheating, but only a little mystification. Coote very probably might drop him a hint of the solution of one or two of the things, not enough to win a prize, but enough to cover his shame. Or failing that he might take a humorous, quizzical line and pretend he was pretending to be very stupid. There were plenty of ways out of it if one kept a sharp lookout.... \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13609\": \"Who did he meet?\"\n },\n {\n \"13610\": \"Where was he returning from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13609\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"13610\",\n \"answer\": \"London\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Ben Jones was walking home from school one day when he saw a black cat. It was walking across the srteet in front of him.Ben stopped, turned around, and walked down a different srteet to go home. Why did he do that? \"It's unlucky when a black cat crossed the street in front of you,\" says Ben, \"I did not want to walk down that street!\" Many people think that some things bring bad luck or good luck. For example, some people think that 13 is an unlucky number. They never invite 13 people to a party. \"I never walk under a ladder ,\" says Ben. \"And I never open an umbrella inside the house. They both bring bad luck.\" And what brings good luck? \"We have a horseshoe over the front door of our house for good luck,\" says Ben.\"And when I find a peney on the ground, I always pick it up. That brings me good luck all day!\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43260\": \"Did a dog walk in front of Ben?\"\n },\n {\n \"43261\": \"What did?\"\n },\n {\n \"43262\": \"Was it orange?\"\n },\n {\n \"43263\": \"What color was it?\"\n },\n {\n \"43264\": \"What did Ben do?\"\n },\n {\n \"43265\": \"Does he travel under ladders?\"\n },\n {\n \"43266\": \"What good things are there?\"\n },\n {\n \"43267\": \"When did he see the cat?\"\n },\n {\n \"43268\": \"What is his last name?\"\n },\n {\n \"43269\": \"Why did he alter his route?\"\n },\n {\n \"43270\": \"Does he use umbrellas indoors?\"\n },\n {\n \"43271\": \"Why not?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43260\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43261\",\n \"answer\": \"a cat\"\n },\n {\n \"question_id\": \"43262\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43263\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"43264\",\n \"answer\": \"went another way\"\n },\n {\n \"question_id\": \"43265\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43266\",\n \"answer\": \"horseshoes and pennies\"\n },\n {\n \"question_id\": \"43267\",\n \"answer\": \"walking home from school\"\n },\n {\n \"question_id\": \"43268\",\n \"answer\": \"Jones\"\n },\n {\n \"question_id\": \"43269\",\n \"answer\": \"to avoid the black cat\"\n },\n {\n \"question_id\": \"43270\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43271\",\n \"answer\": \"bring bad luck\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Four days after suffering a humbling defeat to Simona Halep, Serena Williams turned the tables on the Romanian to win a fifth WTA Finals title with a crushing straight sets 6-3 6-0 victory in Singapore Sunday. \n\nWilliams had called her 6-2 6-0 reverse in round-robin group play Wednesday \"embarrassing\" and she set about putting the record straight in the title match. \n\nFourth-ranked Halep began where she left off to take an early 2-1 lead with a break of service, but this was a very different Williams on the other side of the net. \n\nThe world number one immediately broke back and a further break to lead 5-3 was the start of eight games in a row without reply. \n\nA total of 26 winners flowed from the racket of the 33-year-old American veteran -- who was winning the end of season crown for the third straight year -- the first player since Monica Seles in 1992 to achieve the feat. \n\n\"She was playing so well at the beginning and I told myself to just relax and once I did that I started playing better and making my shots,\" Williams told the official WTA website. \n\n\"I lost to her a couple of days ago so I knew she was capable of playing really well, but I knew I had to play better if I wanted to win. \n\nWilliams' participation in the WTA Finals had been in doubt after she pulled out of a warmup tournament in China with a knee injury. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86517\": \"Who won her fifth WTA title?\"\n },\n {\n \"86518\": \"What was the score?\"\n },\n {\n \"86519\": \"Who did she play?\"\n },\n {\n \"86520\": \"Why did she not play in China?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86517\",\n \"answer\": \"Serena Williams\"\n },\n {\n \"question_id\": \"86518\",\n \"answer\": \"6-2 6-0\"\n },\n {\n \"question_id\": \"86519\",\n \"answer\": \"Halep\"\n },\n {\n \"question_id\": \"86520\",\n \"answer\": \"knee injury\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX. \n\nThe curse of growing factions and divisions Still vex your councils! Venice Preserved. \n\nThe prudence of Morton found sufficient occupation in stemming the furious current of these contending parties, when, two days after his return to Hamilton, he was visited by his friend and colleague, the Reverend Mr Poundtext, flying, as he presently found, from the face of John Balfour of Burley, whom he left not a little incensed at the share he had taken in the liberation of Lord Evandale. When the worthy divine had somewhat recruited his spirits, after the hurry and fatigue of his journey, he proceeded to give Morton an account of what had passed in the vicinity of Tillietudlem after the memorable morning of his departure. \n\nThe night march of Morton had been accomplished with such dexterity, and the men were so faithful to their trust, that Burley received no intelligence of what had happened until the morning was far advanced. His first enquiry was, whether Macbriar and Kettledrummle had arrived, agreeably to the summons which he had dispatched at midnight. Macbriar had come, and Kettledrummle, though a heavy traveller, might, he was informed, be instantly expected. Burley then dispatched a messenger to Morton's quarters to summon him to an immediate council. The messenger returned with news that he had left the place. Poundtext was next summoned; but he thinking, as he said himself, that it was ill dealing with fractious folk, had withdrawn to his own quiet manse, preferring a dark ride, though he had been on horseback the whole preceding day, to a renewal in the morning of a controversy with Burley, whose ferocity overawed him when unsupported by the firmness of Morton. Burley's next enquiries were directed after Lord Evandale; and great was his rage when he learned that he had been conveyed away over night by a party of the marksmen of Milnwood, under the immediate command of Henry Morton himself. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85061\": \"When did a group of people walk?\"\n },\n {\n \"85062\": \"Where at?\"\n },\n {\n \"85063\": \"Was it done well?\"\n },\n {\n \"85064\": \"When did someone finally get information about it?\"\n },\n {\n \"85065\": \"Who was it?\"\n },\n {\n \"85066\": \"How many people did he first ask about?\"\n },\n {\n \"85067\": \"Who were they?\"\n },\n {\n \"85068\": \"Did both make it?\"\n },\n {\n \"85069\": \"Who made it?\"\n },\n {\n \"85070\": \"Who was approached by a buddy and coworker?\"\n },\n {\n \"85071\": \"When?\"\n },\n {\n \"85072\": \"Who was it?\"\n },\n {\n \"85073\": \"Where had he gone from in the morn?\"\n },\n {\n \"85074\": \"Was he full of vigor when telling?\"\n },\n {\n \"85075\": \"Why not?\"\n },\n {\n \"85076\": \"Who sent a message for a sudden meeting?\"\n },\n {\n \"85077\": \"To whom?\"\n },\n {\n \"85078\": \"Who was sent for next?\"\n },\n {\n \"85079\": \"Where was he?\"\n },\n {\n \"85080\": \"Was Burley happy after learning what had happened?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85061\",\n \"answer\": \"At night\"\n },\n {\n \"question_id\": \"85062\",\n \"answer\": \"Morton\"\n },\n {\n \"question_id\": \"85063\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85064\",\n \"answer\": \"when the morning was far advanced\"\n },\n {\n \"question_id\": \"85065\",\n \"answer\": \"Burley\"\n },\n {\n \"question_id\": \"85066\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"85067\",\n \"answer\": \"Macbriar and Kettledrummle\"\n },\n {\n \"question_id\": \"85068\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85069\",\n \"answer\": \"Macbriar\"\n },\n {\n \"question_id\": \"85070\",\n \"answer\": \"Morton\"\n },\n {\n \"question_id\": \"85071\",\n \"answer\": \"two days after his return to Hamilton\"\n },\n {\n \"question_id\": \"85072\",\n \"answer\": \"the Reverend Mr Poundtext\"\n },\n {\n \"question_id\": \"85073\",\n \"answer\": \"the vicinity of Tillietudlem\"\n },\n {\n \"question_id\": \"85074\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85075\",\n \"answer\": \"because of the hurry and fatigue of his journey\"\n },\n {\n \"question_id\": \"85076\",\n \"answer\": \"Burley\"\n },\n {\n \"question_id\": \"85077\",\n \"answer\": \"Morton\"\n },\n {\n \"question_id\": \"85078\",\n \"answer\": \"Poundtext\"\n },\n {\n \"question_id\": \"85079\",\n \"answer\": \"his own quiet manse\"\n },\n {\n \"question_id\": \"85080\",\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 Once there was a boy named Fritz who loved to draw. He drew everything. In the morning, he drew a picture of his cereal with milk. His papa said, \"Don't draw your cereal. Eat it!\" After school, Fritz drew a picture of his bicycle. His uncle said, \"Don't draw your bicycle. Ride it!\" At nighttime, after he finished washing his face, he drew a picture of the toothpaste on the sink. His mama said, \"Don't draw the toothpaste. Brush your teeth!\" \n\nOne day Fritz got a splinter in his foot. It hurt. He wanted to take the splinter out. But first, he drew a picture of his foot with the splinter in it. He said, \"Now I can remember what my foot looks like with a splinter in it.\" Then he took the splinter out all by himself. He told his friend Stephen that he took the splinter out all by himself. Stephen did not believe him. Fritz showed him the picture. Then Stephen believed him.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13506\": \"What did Fritz enjoy doing?\"\n },\n {\n \"13507\": \"What did he draw?\"\n },\n {\n \"13508\": \"What did he draw in the morning?\"\n },\n {\n \"13509\": \"Was his father pleased?\"\n },\n {\n \"13510\": \"When did he draw a bicycle?\"\n },\n {\n \"13511\": \"Whose bike was it?\"\n },\n {\n \"13512\": \"Was his uncle pleased?\"\n },\n {\n \"13513\": \"What did he wash at nighttime?\"\n },\n {\n \"13514\": \"Did he draw something afterwards?\"\n },\n {\n \"13515\": \"What?\"\n },\n {\n \"13516\": \"Who was displeased this time?\"\n },\n {\n \"13517\": \"Where did Fritz get a splinter?\"\n },\n {\n \"13518\": \"What did he draw when this happened?\"\n },\n {\n \"13519\": \"Why?\"\n },\n {\n \"13520\": \"Did he go to the doctor?\"\n },\n {\n \"13521\": \"Who removed the splinter?\"\n },\n {\n \"13522\": \"Who did he tell?\"\n },\n {\n \"13523\": \"Did his friend believe him?\"\n },\n {\n \"13524\": \"What changed Stephen's mind?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13506\",\n \"answer\": \"drawing\"\n },\n {\n \"question_id\": \"13507\",\n \"answer\": \"everything\"\n },\n {\n \"question_id\": \"13508\",\n \"answer\": \"a picture of his cereal\"\n },\n {\n \"question_id\": \"13509\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13510\",\n \"answer\": \"After school\"\n },\n {\n \"question_id\": \"13511\",\n \"answer\": \"his\"\n },\n {\n \"question_id\": \"13512\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13513\",\n \"answer\": \"his face\"\n },\n {\n \"question_id\": \"13514\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13515\",\n \"answer\": \"toothpaste\"\n },\n {\n \"question_id\": \"13516\",\n \"answer\": \"His mama\"\n },\n {\n \"question_id\": \"13517\",\n \"answer\": \"his foot\"\n },\n {\n \"question_id\": \"13518\",\n \"answer\": \"a picture of his foot with splinter\"\n },\n {\n \"question_id\": \"13519\",\n \"answer\": \"so he could remember what the foot looked like\"\n },\n {\n \"question_id\": \"13520\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13521\",\n \"answer\": \"he did\"\n },\n {\n \"question_id\": \"13522\",\n \"answer\": \"his friend\"\n },\n {\n \"question_id\": \"13523\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13524\",\n \"answer\": \"the picture\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Justice is the legal or philosophical theory by which fairness is administered. The concept of justice differs in every culture. An early theory of justice was set out by the Ancient Greek philosopher Plato in his work \"The Republic\". Advocates of divine command theory argue that justice issues from God. In the 17th century, theorists like John Locke argued for the theory of natural law. Thinkers in the social contract tradition argued that justice is derived from the mutual agreement of everyone concerned. In the 19th century, utilitarian thinkers including John Stuart Mill argued that justice is what has the best consequences. Theories of distributive justice concern what is distributed, between whom they are to be distributed, and what is the \"proper\" distribution. Egalitarians argued that justice can only exist within the coordinates of equality. John Rawls used a social contract argument to show that justice, and especially distributive justice, is a form of fairness. Property rights theorists (like Robert Nozick) take a deontological view of distributive justice and argue that property rights-based justice maximizes the overall wealth of an economic system. Theories of retributive justice are concerned with punishment for wrongdoing. Restorative justice (also sometimes called \"reparative justice\") is an approach to justice that focuses on restoring what is good, and necessarily focuses on the needs of victims and offenders.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40971\": \"Who wrote \\\"The Republic\\\"?\"\n },\n {\n \"40972\": \"What was his nationality?\"\n },\n {\n \"40973\": \"What was his job or occupation, what he is known for?\"\n },\n {\n \"40974\": \"Who controls justice according to those who believe divine command theory?\"\n },\n {\n \"40975\": \"Who controls justice according to those who believe in social contract tradition?\"\n },\n {\n \"40976\": \"When did John Stuart Mill live?\"\n },\n {\n \"40977\": \"What type of thinker was he known as?\"\n },\n {\n \"40978\": \"What group believed that justice can only exist when people are equal?\"\n },\n {\n \"40979\": \"Robert Nozick was known to be what type of theorist?\"\n },\n {\n \"40980\": \"What theorists focus on restoration of good?\"\n },\n {\n \"40981\": \"Restorative justice focus on the needs of what two groups?\"\n },\n {\n \"40982\": \"Who was first to discuss and write about justice, John Stuart Mill or John Locke?\"\n },\n {\n \"40983\": \"Was the \\u201cnatural law\\u201d or the \\u201csocial contract\\u201d view of justice discussed and written about first?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40971\",\n \"answer\": \"Plato.\"\n },\n {\n \"question_id\": \"40972\",\n \"answer\": \"Greek.\"\n },\n {\n \"question_id\": \"40973\",\n \"answer\": \"Philosopher.\"\n },\n {\n \"question_id\": \"40974\",\n \"answer\": \"God.\"\n },\n {\n \"question_id\": \"40975\",\n \"answer\": \"Everyone concerned.\"\n },\n {\n \"question_id\": \"40976\",\n \"answer\": \"In the 19th century.\"\n },\n {\n \"question_id\": \"40977\",\n \"answer\": \"Utilitarian thinkers.\"\n },\n {\n \"question_id\": \"40978\",\n \"answer\": \"Egalitarians.\"\n },\n {\n \"question_id\": \"40979\",\n \"answer\": \"Property rights theorist.\"\n },\n {\n \"question_id\": \"40980\",\n \"answer\": \"Restorative justice\"\n },\n {\n \"question_id\": \"40981\",\n \"answer\": \"Victims and offenders.\"\n },\n {\n \"question_id\": \"40982\",\n \"answer\": \"John Locke.\"\n },\n {\n \"question_id\": \"40983\",\n \"answer\": \"Natural law.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Anita Davenport's curiosity about her family's past began with the photographs that surrounded her. She said she wanted to know the stories behind the images of her parents and uncles. \n\nAnita Davenport's grandfather, Walter, was stationed in Battle Creek, Michigan, during World War I. \n\nThe stories she found -- and shared during several phone conversations from her home in Culver City, California -- parallel the African-American journey during the past century. \n\nThe search took her to 1894, when her grandfather, Walter, was born in Stone Mountain, Georgia. \n\nWalter Davenport moved to Wedowee, Alabama. During World War I, Davenport was stationed at Fort Custer in Battle Creek, Michigan, Anita said. \n\nThousands of other African-Americans were also on the move, mainly to the Northeast and the Midwest, eager for opportunities related to the war and industrialization, according to Howard Dodson, a historian and the director of the Schomburg Center for Research in Black Culture. \n\nWalter Davenport later returned to Alabama, married and had nine children, one of whom was Anita's father, Frank. \n\nWalter was fond of Battle Creek and regaled his family with stories, Anita said. The stories must have been convincing. The eldest of his nine children, also named Walter, moved north to Battle Creek in 1951. \n\nFrank Davenport, Anita's father, later joined his older brother in Michigan. Anita was born in Battle Creek. \n\nBetween 1940 and 1970, more than 5 million African-Americans left the South, migrating to cities like Boston, Massachusetts; Philadelphia, Pennsylvania; Chicago, Illinois; Detroit, Michigan, and New York. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23474\": \"What is the name of Anita's grandfather?\"\n },\n {\n \"23475\": \"What year was he born?\"\n },\n {\n \"23476\": \"Where was he born?\"\n },\n {\n \"23477\": \"Where did he move after?\"\n },\n {\n \"23478\": \"In what war did he enlist in?\"\n },\n {\n \"23479\": \"Where was he stationed?\"\n },\n {\n \"23480\": \"Was Walter African-Amerian?\"\n },\n {\n \"23481\": \"In what areas of the U.S. did African-American move to during that time?\"\n },\n {\n \"23482\": \"Why?\"\n },\n {\n \"23483\": \"What kind?\"\n },\n {\n \"23484\": \"How many children did Walter have?\"\n },\n {\n \"23485\": \"What is the name of Anita's father?\"\n },\n {\n \"23486\": \"Did Walter like Battle Creek?\"\n },\n {\n \"23487\": \"What was the name of Walter's child who moved there in 1951?\"\n },\n {\n \"23488\": \"Who else moved there?\"\n },\n {\n \"23489\": \"During what years did African-Americans leave the South?\"\n },\n {\n \"23490\": \"How many left?\"\n },\n {\n \"23491\": \"What's the name of one of the cities they moved to?\"\n },\n {\n \"23492\": \"Who is Howard Dodson?\"\n },\n {\n \"23493\": \"Where does Anita live currently?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"23474\",\n \"answer\": \"Walter.\"\n },\n {\n \"question_id\": \"23475\",\n \"answer\": \"1894\"\n },\n {\n \"question_id\": \"23476\",\n \"answer\": \"Stone Mountain, Georgia.\"\n },\n {\n \"question_id\": \"23477\",\n \"answer\": \"Wedowee, Alabama.\"\n },\n {\n \"question_id\": \"23478\",\n \"answer\": \"World War I\"\n },\n {\n \"question_id\": \"23479\",\n \"answer\": \"Battle Creek, Michigan\"\n },\n {\n \"question_id\": \"23480\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"23481\",\n \"answer\": \"The Northeast and the Midwest.\"\n },\n {\n \"question_id\": \"23482\",\n \"answer\": \"They were eager for opportunities.\"\n },\n {\n \"question_id\": \"23483\",\n \"answer\": \"War and industrialization.\"\n },\n {\n \"question_id\": \"23484\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"23485\",\n \"answer\": \"Frank Davenport\"\n },\n {\n \"question_id\": \"23486\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"23487\",\n \"answer\": \"Walter\"\n },\n {\n \"question_id\": \"23488\",\n \"answer\": \"Anita's father\"\n },\n {\n \"question_id\": \"23489\",\n \"answer\": \"Between 1940 and 1970\"\n },\n {\n \"question_id\": \"23490\",\n \"answer\": \"More than 5 million\"\n },\n {\n \"question_id\": \"23491\",\n \"answer\": \"Boston, Massachusetts\"\n },\n {\n \"question_id\": \"23492\",\n \"answer\": \"A historian and director of the Schomburg Center\"\n },\n {\n \"question_id\": \"23493\",\n \"answer\": \"Culver City, California\"\n }\n]\n" } ]

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