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 Yemen, officially known as the Republic of Yemen, is an Arab country in Western Asia at the southern end of the Arabian Peninsula. Yemen is the second-largest country in the peninsula, occupying 527,970 km (203,850 sq mi). The coastline stretches for about 2,000 km (1,200 mi). It is bordered by Saudi Arabia to the north, the Red Sea to the west, the Gulf of Aden and Arabian Sea to the south, and Oman to the east-northeast. Although Yemen's constitutionally stated capital is the city of Sana'a, the city has been under rebel control since February 2015. Because of this, Yemen's capital has been temporarily relocated to the port city of Aden, on the southern coast. Yemen's territory includes more than 200 islands; the largest of these is Socotra. \n\nYemen was the home of the Sabaeans (biblical Sheba), a trading state that flourished for over a thousand years and also included parts of modern-day Ethiopia and Eritrea. In 275 AD, the region came under the rule of the later Jewish-influenced Himyarite Kingdom. Christianity arrived in the fourth century, whereas Judaism and local paganism were already established. Islam spread quickly in the seventh century and Yemenite troops were crucial in the expansion of the early Islamic conquests. Administration of Yemen has long been notoriously difficult. Several dynasties emerged from the ninth to 16th centuries, the Rasulid dynasty being the strongest and most prosperous. The country was divided between the Ottoman and British empires in the early twentieth century. The Zaydi Mutawakkilite Kingdom of Yemen was established after World War I in North Yemen before the creation of the Yemen Arab Republic in 1962. South Yemen remained a British protectorate known as the Aden Protectorate until 1967 when it became an independent state and later, a Marxist state. The two Yemeni states united to form the modern republic of Yemen in 1990.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49964\": \"Is Yemen the full name of the country?\"\n },\n {\n \"49965\": \"What is the proper name?\"\n },\n {\n \"49966\": \"Which two countries united to form Yemen as it is today?\"\n },\n {\n \"49967\": \"How long is Yemen's coastline?\"\n },\n {\n \"49968\": \"How many countries does Yemen border?\"\n },\n {\n \"49969\": \"How many bodies of water does Yemen border?\"\n },\n {\n \"49970\": \"Does its territory include any islands?\"\n },\n {\n \"49971\": \"What is the largest island?\"\n },\n {\n \"49972\": \"When was the region now known as Yemen first under Jewish control?\"\n },\n {\n \"49973\": \"What was the kingdom called?\"\n },\n {\n \"49974\": \"When did Christianity come into the region?\"\n },\n {\n \"49975\": \"What about Islam?\"\n },\n {\n \"49976\": \"Were any dynasties ever in control of Yemen?\"\n },\n {\n \"49977\": \"Which was the strongest?\"\n },\n {\n \"49978\": \"Which kingdom was established after World War I?\"\n },\n {\n \"49979\": \"How long was it in power?\"\n },\n {\n \"49980\": \"When did the Zaydi Mutawakkilite Kingdom change in power?\"\n },\n {\n \"49981\": \"What was established then?\"\n },\n {\n \"49982\": \"When was the modern republic of Yemen formed?\"\n },\n {\n \"49983\": \"Was South Yemen previously under British control?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49964\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"49965\",\n \"answer\": \"Republic of Yemen\"\n },\n {\n \"question_id\": \"49966\",\n \"answer\": \"Ethiopia and Eritrea\"\n },\n {\n \"question_id\": \"49967\",\n \"answer\": \"about 2,000\\u00a0km (1,200\\u00a0mi)\"\n },\n {\n \"question_id\": \"49968\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"49969\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"49970\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49971\",\n \"answer\": \"Socotra\"\n },\n {\n \"question_id\": \"49972\",\n \"answer\": \"275 AD\"\n },\n {\n \"question_id\": \"49973\",\n \"answer\": \"Himyarite Kingdom\"\n },\n {\n \"question_id\": \"49974\",\n \"answer\": \"4th century\"\n },\n {\n \"question_id\": \"49975\",\n \"answer\": \"7th century\"\n },\n {\n \"question_id\": \"49976\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"49977\",\n \"answer\": \"the Rasulid dynast\"\n },\n {\n \"question_id\": \"49978\",\n \"answer\": \"The Zaydi Mutawakkilite Kingdom\"\n },\n {\n \"question_id\": \"49979\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"49980\",\n \"answer\": \"in 1962\"\n },\n {\n \"question_id\": \"49981\",\n \"answer\": \"Yemen Arab Republic\"\n },\n {\n \"question_id\": \"49982\",\n \"answer\": \"1990\"\n },\n {\n \"question_id\": \"49983\",\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 XXXIX. \n\nA NEW FLIRTATION. \n\n[Illustration] \n\nJohn Eames sat at his office on the day after his return to London, and answered the various letters which he had found waiting for him at his lodgings on the previous evening. To Miss Demolines he had already written from his club,--a single line, which he considered to be appropriate to the mysterious necessities of the occasion. \"I will be with you at a quarter to six to-morrow.--J. E. Just returned.\" There was not another word; and as he scrawled it at one of the club tables while two or three men were talking to him, he felt rather proud of his correspondence. \"It was capital fun,\" he said; \"and after all,\"--the \"all\" on this occasion being Lily Dale, and the sadness of his disappointment at Allington,--\"after all, let a fellow be ever so down in the mouth, a little amusement should do him good.\" And he reflected further that the more a fellow be \"down in the mouth,\" the more good the amusement would do him. He sent off his note, therefore, with some little inward rejoicing,--and a word or two also of spoken rejoicing. \"What fun women are sometimes,\" he said to one of his friends,--a friend with whom he was very intimate, calling him always Fred, and slapping his back, but whom he never by any chance saw out of his club. \n\n\"What's up now, Johnny? Some good fortune?\" \n\n\"Good fortune; no. I never have good fortunes of that kind. But I've got hold of a young woman,--or rather a young woman has got hold of me, who insists on having a mystery with me. In the mystery itself there is not the slightest interest. But the mysteriousness of it is charming. I have just written to her three words to settle an appointment for to-morrow. We don't sign our names lest the Postmaster-General should find out all about it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79946\": \"who never had good fortunes ?\"\n },\n {\n \"79947\": \"who sat at the office ?\"\n },\n {\n \"79948\": \"where did he come from ?\"\n },\n {\n \"79949\": \"what was waiting for him ?\"\n },\n {\n \"79950\": \"did he answer them ?\"\n },\n {\n \"79951\": \"he wrote 1 single line to who ?\"\n },\n {\n \"79952\": \"who just returned ?\"\n },\n {\n \"79953\": \"what happened at Allington\"\n },\n {\n \"79954\": \"of what ?\"\n },\n {\n \"79955\": \"what helps if you are down at the mouth ?\"\n },\n {\n \"79956\": \"and the more a fellow is down what more ?\"\n },\n {\n \"79957\": \"did he send this note ?\"\n },\n {\n \"79958\": \"who sat in the office ?\"\n },\n {\n \"79959\": \"last name ?\"\n },\n {\n \"79960\": \"what time was it to meet with someone ?\"\n },\n {\n \"79961\": \"what day ?\"\n },\n {\n \"79962\": \"what did je do ?\"\n },\n {\n \"79963\": \"how many men were talking to him ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79946\",\n \"answer\": \"Johnny\"\n },\n {\n \"question_id\": \"79947\",\n \"answer\": \"John Eames\"\n },\n {\n \"question_id\": \"79948\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"79949\",\n \"answer\": \"letters\"\n },\n {\n \"question_id\": \"79950\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79951\",\n \"answer\": \"Miss Demolines\"\n },\n {\n \"question_id\": \"79952\",\n \"answer\": \"J. E\"\n },\n {\n \"question_id\": \"79953\",\n \"answer\": \"sadness\"\n },\n {\n \"question_id\": \"79954\",\n \"answer\": \"his disappointment\"\n },\n {\n \"question_id\": \"79955\",\n \"answer\": \"amusement\"\n },\n {\n \"question_id\": \"79956\",\n \"answer\": \"he more good the amusement\"\n },\n {\n \"question_id\": \"79957\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79958\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"79959\",\n \"answer\": \"Eames\"\n },\n {\n \"question_id\": \"79960\",\n \"answer\": \"quarter to six\"\n },\n {\n \"question_id\": \"79961\",\n \"answer\": \"to-morrow\"\n },\n {\n \"question_id\": \"79962\",\n \"answer\": \"returned\"\n },\n {\n \"question_id\": \"79963\",\n \"answer\": \"wo or three men\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Natural selection is the differential survival and reproduction of individuals due to differences in phenotype. It is a key mechanism of evolution, the change in heritable traits of a population over time. Charles Darwin popularised the term \"natural selection\", and compared it with artificial selection. \n\nVariation exists within all populations of organisms. This occurs partly because random mutations arise in the genome of an individual organism, and offspring can inherit such mutations. Throughout the lives of the individuals, their genomes interact with their environments to cause variations in traits. The environment of a genome includes the molecular biology in the cell, other cells, other individuals, populations, species, as well as the abiotic environment. Individuals with certain variants of the trait may survive and reproduce more than individuals with other, less successful, variants; therefore, the population evolves. Factors that affect reproductive success are also important, including sexual selection (now often included in natural selection) and fecundity selection. \n\nNatural selection acts on the phenotype, or the observable characteristics of an organism, but the genetic (heritable) basis of any phenotype that gives a reproductive advantage may become more common in a population. Over time, this process can result in populations that specialise for particular ecological niches (microevolution) and may eventually result in speciation (the emergence of new species, macroevolution). In other words, natural selection is a key process in the evolution of a population. Natural selection can be contrasted with artificial selection, in which humans intentionally choose specific traits, whereas in natural selection there is no intentional choice.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85395\": \"What is key to evolution?\"\n },\n {\n \"85396\": \"What is natural selection?\"\n },\n {\n \"85397\": \"Who made that wording popular?\"\n },\n {\n \"85398\": \"What did he compare it to?\"\n },\n {\n \"85399\": \"Is variation common in organisms?\"\n },\n {\n \"85400\": \"Why does this happen?\"\n },\n {\n \"85401\": \"What happens to the offspring?\"\n },\n {\n \"85402\": \"Do genomes interact often?\"\n },\n {\n \"85403\": \"What type of biology is involved?\"\n },\n {\n \"85404\": \"Do cells play a factor?\"\n },\n {\n \"85405\": \"In what type of environments?\"\n },\n {\n \"85406\": \"Is reproductive success or failure important, which?\"\n },\n {\n \"85407\": \"Is selection important too?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85395\",\n \"answer\": \"Natural selection\"\n },\n {\n \"question_id\": \"85396\",\n \"answer\": \"differential survival due to differences in phenotype\"\n },\n {\n \"question_id\": \"85397\",\n \"answer\": \"Charles Darwin\"\n },\n {\n \"question_id\": \"85398\",\n \"answer\": \"artificial selection\"\n },\n {\n \"question_id\": \"85399\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85400\",\n \"answer\": \"because random mutations arise\"\n },\n {\n \"question_id\": \"85401\",\n \"answer\": \"they can inherit mutations.\"\n },\n {\n \"question_id\": \"85402\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85403\",\n \"answer\": \"molecular biology\"\n },\n {\n \"question_id\": \"85404\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85405\",\n \"answer\": \"in biotic as well as the abiotic environment\"\n },\n {\n \"question_id\": \"85406\",\n \"answer\": \"reproductive success is important\"\n },\n {\n \"question_id\": \"85407\",\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 Oslo, Norway (CNN) -- At a prize ceremony honoring peace, Adán Cortés says violence and injustice sent him rushing toward the stage. \n\nIn a matter of seconds, the 21-year-old Mexican student's face was seen around the world last week as he stood in front of Malala Yousafzai at the Nobel Peace Prize ceremony in Oslo, Norway. \n\n\"Please Malala, Mexico,\" he repeated as he unfurled a Mexican flag on the stage at Oslo's City Hall, where the 17-year-old laureate was about to become the youngest person ever to receive the prestigious award. \n\nOslo police have come under fire over the incident, with critics asking how someone who wasn't on the ceremony's guest list managed to slip through security checkpoints and make it to the front of the room, standing just steps away from Yousafzai and other dignitaries before security hauled him out of the auditorium. \n\nSpeaking to CNN at an Oslo detention center on Sunday, Cortés said he knows it was a drastic move. But he felt like he had no choice and wanted only a few seconds to speak about Mexico's problems on a global stage. \n\n\"My motivation was to show solidarity with all the things that have happened in my country, ultimately, well, the 43 missing students, who are suspected to be dead and burned, that was my main motivation,\" he said. \"I am tired of so many injustices that we have lived in Mexico, for decades.\" \n\nThe students' case has sparked national outrage in Mexico and drawn global attention to the country's continued struggles to deal with police corruption and drug-related violence. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9875\": \"Who was receiving the Nobel Peace prize?\"\n },\n {\n \"9876\": \"how old was he?\"\n },\n {\n \"9877\": \"who slipped through security?\"\n },\n {\n \"9878\": \"why was he there?\"\n },\n {\n \"9879\": \"what country?\"\n },\n {\n \"9880\": \"how old was he?\"\n },\n {\n \"9881\": \"his occupation?\"\n },\n {\n \"9882\": \"where did this happen?\"\n },\n {\n \"9883\": \"Where is he now?\"\n },\n {\n \"9884\": \"What was his main motivation?\"\n },\n {\n \"9885\": \"Who in particular is he talking about?\"\n },\n {\n \"9886\": \"Were they thought to be alive?\"\n },\n {\n \"9887\": \"How long were these injustices thought to be going on?\"\n },\n {\n \"9888\": \"What kind of corruption does the country struggle with?\"\n },\n {\n \"9889\": \"Do they deal with violence also?\"\n },\n {\n \"9890\": \"what kind?\"\n },\n {\n \"9891\": \"Where in Oslo was the cermony?\"\n },\n {\n \"9892\": \"WHy were the police under fire?\"\n },\n {\n \"9893\": \"What does the ceremony honor?\"\n },\n {\n \"9894\": \"Who spoke with Cortes in detention?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9875\",\n \"answer\": \"Malala Yousafzai\"\n },\n {\n \"question_id\": \"9876\",\n \"answer\": \"17-year-old (she)\"\n },\n {\n \"question_id\": \"9877\",\n \"answer\": \"Ad\\u00e1n Cort\\u00e9s\"\n },\n {\n \"question_id\": \"9878\",\n \"answer\": \"to show solidarity with all the things that have happened in my country\"\n },\n {\n \"question_id\": \"9879\",\n \"answer\": \"Mexico\"\n },\n {\n \"question_id\": \"9880\",\n \"answer\": \"21-year-old\"\n },\n {\n \"question_id\": \"9881\",\n \"answer\": \"student\"\n },\n {\n \"question_id\": \"9882\",\n \"answer\": \"Oslo\"\n },\n {\n \"question_id\": \"9883\",\n \"answer\": \"an Oslo detention center\"\n },\n {\n \"question_id\": \"9884\",\n \"answer\": \"to show solidarity with all the things that have happened in his country\"\n },\n {\n \"question_id\": \"9885\",\n \"answer\": \"43 missing students\"\n },\n {\n \"question_id\": \"9886\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9887\",\n \"answer\": \"for decades\"\n },\n {\n \"question_id\": \"9888\",\n \"answer\": \"police corruption\"\n },\n {\n \"question_id\": \"9889\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9890\",\n \"answer\": \"drug-related\"\n },\n {\n \"question_id\": \"9891\",\n \"answer\": \"City Hall\"\n },\n {\n \"question_id\": \"9892\",\n \"answer\": \"A man not on the guest list was close to Malala\"\n },\n {\n \"question_id\": \"9893\",\n \"answer\": \"Peace\"\n },\n {\n \"question_id\": \"9894\",\n \"answer\": \"CNN\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chad walked to the pet store. He saw puppies. There was a black and white puppy. Chad liked the puppy. Chad walked the puppy home on a leash. He took the puppy in the yard to play. He found a ball to play fetch with the puppy. Chad threw the ball and the puppy chased it across the yard. After they were done playing, Chad fed and watered the puppy. He found two bowls in the kitchen. He filled one with water. He filled the other bowl with dog food. The puppy ran to the bowls to eat and drink. When the puppy was finished eating it became tired. Chad made the puppy a bed out of an old pillow. The puppy curled up on the pillow and went to sleep.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43300\": \"What animal did Chad see in a store?\"\n },\n {\n \"43301\": \"How did Chad feel about those?\"\n },\n {\n \"43302\": \"What did the animal look like?\"\n },\n {\n \"43303\": \"Did he decide to keep it?\"\n },\n {\n \"43304\": \"What did he do with it after he left the store?\"\n },\n {\n \"43305\": \"What else did they do?\"\n },\n {\n \"43306\": \"How?\"\n },\n {\n \"43307\": \"What did he eat?\"\n },\n {\n \"43308\": \"Was the dog thirsty as well?\"\n },\n {\n \"43309\": \"That's a lot of activity for one afternoon, what happened next?\"\n },\n {\n \"43310\": \"Did it go to sleep then?\"\n },\n {\n \"43311\": \"Where did it do that?\"\n },\n {\n \"43312\": \"Where did that come from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43300\",\n \"answer\": \"puppies\"\n },\n {\n \"question_id\": \"43301\",\n \"answer\": \"He liked one.\"\n },\n {\n \"question_id\": \"43302\",\n \"answer\": \"It was black and white.\"\n },\n {\n \"question_id\": \"43303\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"43304\",\n \"answer\": \"They played.\"\n },\n {\n \"question_id\": \"43305\",\n \"answer\": \"It ate.\"\n },\n {\n \"question_id\": \"43306\",\n \"answer\": \"with bowls\"\n },\n {\n \"question_id\": \"43307\",\n \"answer\": \"dog food\"\n },\n {\n \"question_id\": \"43308\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"43309\",\n \"answer\": \"It was tired.\"\n },\n {\n \"question_id\": \"43310\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43311\",\n \"answer\": \"On a pillow.\"\n },\n {\n \"question_id\": \"43312\",\n \"answer\": \"From Chad.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Wikibooks (previously called \"Wikimedia Free Textbook Project\" and \"Wikimedia-Textbooks\") is a wiki-based Wikimedia project hosted by the Wikimedia Foundation for the creation of free content textbooks and annotated texts that anyone can edit. \n\nIn June 2016, Compete.com estimated that Wikibooks had 1,478,812 unique visitors. \n\nThe wikibooks.org domain was registered on . It was launched to host and build free textbooks on subjects such as organic chemistry and physics. There are two major sub-projects, Wikijunior and Wikiversity, were created within Wikibooks before its official policy was later changed so that future incubator type projects are started according to the Wikimedia Foundation's new project policy. \n\nIn August 2006, Wikiversity became an independent Wikimedia Foundation project. \n\nSince 2008, Wikibooks is included in BASE \n\nWikijunior is a subproject of Wikibooks that specializes in books for children. The project consists of both a magazine and a website, and is currently being developed in English, Danish, Finnish, French, German, Italian, Japanese, Spanish and Arabic. It is funded by a grant from the Beck Foundation. \n\nWhile some books are original, others began as text copied over from other sources of free content textbooks found on the Internet. All of the site's content is released under a Creative Commons Attribution-Share Alike license (or a compatible license). This means that, as with its sister project, Wikipedia, contributions remain copyrighted to their creators, while the licensing ensures that it can be freely distributed and reused subject to certain conditions.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63577\": \"What is wikibooks?\"\n },\n {\n \"63578\": \"Hosted by who?\"\n },\n {\n \"63579\": \"What do they create?\"\n },\n {\n \"63580\": \"What else?\"\n },\n {\n \"63581\": \"Do they have a sub genre for kids?\"\n },\n {\n \"63582\": \"What is it called?\"\n },\n {\n \"63583\": \"What is one thing that consists of?\"\n },\n {\n \"63584\": \"What is the other?\"\n },\n {\n \"63585\": \"Is it only available in English?\"\n },\n {\n \"63586\": \"What are a few other languages it is available in?\"\n },\n {\n \"63587\": \"How is it paid for?\"\n },\n {\n \"63588\": \"From who?\"\n },\n {\n \"63589\": \"Other than Wikijunior was is the other sub genre they offer?\"\n },\n {\n \"63590\": \"What happened in Summer 2006?\"\n },\n {\n \"63591\": \"Are all the books copied?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63577\",\n \"answer\": \"a wiki-based Wikimedia project\"\n },\n {\n \"question_id\": \"63578\",\n \"answer\": \"Wikimedia Foundation\"\n },\n {\n \"question_id\": \"63579\",\n \"answer\": \"free content textbooks\"\n },\n {\n \"question_id\": \"63580\",\n \"answer\": \"annotated texts\"\n },\n {\n \"question_id\": \"63581\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63582\",\n \"answer\": \"Wikijunior\"\n },\n {\n \"question_id\": \"63583\",\n \"answer\": \"a magazine\"\n },\n {\n \"question_id\": \"63584\",\n \"answer\": \"a website\"\n },\n {\n \"question_id\": \"63585\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63586\",\n \"answer\": \"English, Danish, Finnish\"\n },\n {\n \"question_id\": \"63587\",\n \"answer\": \"by a grant\"\n },\n {\n \"question_id\": \"63588\",\n \"answer\": \"the Beck Foundation.\"\n },\n {\n \"question_id\": \"63589\",\n \"answer\": \"Wikiversity\"\n },\n {\n \"question_id\": \"63590\",\n \"answer\": \"Wikiversity became an independent Wikimedia Foundation project.\"\n },\n {\n \"question_id\": \"63591\",\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 Superman, Spider-Man, Batman and Iron Man ... .There is no shortage of superheroes. You find them in comic books, on the TV and the big screen. \n\nIn a survey of fans by the sci-fi and fantasy website, SFX.co.uk, Batman, 70 years old this year, was voted Britain's favorite superhero. \n\nUnlike many crime-fighting superheroes Batman has no special powers. He can't fly like Superman or shoot a sticky web like Spider-Man. \n\nBruce Wayne is born to a wealthy Gotham City business family. However, when his parents are murdered his life changes completely. \n\nWayne feels anger at their deaths and guilty that he did not prevent them. He travels around the world learning how to fight. Upon returning to Gotham, he creates a disguise to enable him to fight crime without being recognized. \n\nA childhood fear of bats leads him to choose to dress as one. His idea is that through the bat person he can prove to himself that he has overcome his childhood fears. \n\nWayne is the CEO of the company he inherits from his father. He seems to live the lifestyle of a millionaire playboy. But this is a ruse . He works hard at the image to allow himself the freedom he needs to do his work as a crime fighter. \"Bruce Wayne, playboy\" is the disguise Batman is the real person. \n\n\"Wayne is not a born superhero. Instead, he is a real, complex person,\" said Dace Golder, editor of the website. \"He is the most realistic of all the superheroes. I am particularly interested in the emotional process by which a boy becomes a hero. His superhero qualities come from within.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66959\": \"Who is Britain's most popular superhero?\"\n },\n {\n \"66960\": \"According to what site?\"\n },\n {\n \"66961\": \"What kind of site is this?\"\n },\n {\n \"66962\": \"What does Batman feel upset about?\"\n },\n {\n \"66963\": \"What is his superpower?\"\n },\n {\n \"66964\": \"What does Dace Golder say Batman is not?\"\n },\n {\n \"66965\": \"What is Golder especially intrigued by?\"\n },\n {\n \"66966\": \"Does he consider Batman to be believable as a person?\"\n },\n {\n \"66967\": \"Where does Batman travel?\"\n },\n {\n \"66968\": \"Where did he travel before that?\"\n },\n {\n \"66969\": \"What was he doing around the world?\"\n },\n {\n \"66970\": \"Does Batman have a disguise?\"\n },\n {\n \"66971\": \"What is his disguise name?\"\n },\n {\n \"66972\": \"What kind of life does he live?\"\n },\n {\n \"66973\": \"Does this image come easily to him?\"\n },\n {\n \"66974\": \"How does Batman dress?\"\n },\n {\n \"66975\": \"Why did he pick a bat?\"\n },\n {\n \"66976\": \"Name another superhero mentioned in the article.\"\n },\n {\n \"66977\": \"How long has the Batman character been around?\"\n },\n {\n \"66978\": \"ICan you find superheroes in film?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66959\",\n \"answer\": \"Batman\"\n },\n {\n \"question_id\": \"66960\",\n \"answer\": \"SFX.co.uk\"\n },\n {\n \"question_id\": \"66961\",\n \"answer\": \"a sci-fi and fantasy website\"\n },\n {\n \"question_id\": \"66962\",\n \"answer\": \"his parents' deaths\"\n },\n {\n \"question_id\": \"66963\",\n \"answer\": \"he has no special powers\"\n },\n {\n \"question_id\": \"66964\",\n \"answer\": \"a born superhero\"\n },\n {\n \"question_id\": \"66965\",\n \"answer\": \"the emotional process by which a boy becomes a hero\"\n },\n {\n \"question_id\": \"66966\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66967\",\n \"answer\": \"o Gotham\"\n },\n {\n \"question_id\": \"66968\",\n \"answer\": \"around the world\"\n },\n {\n \"question_id\": \"66969\",\n \"answer\": \"learning how to fight\"\n },\n {\n \"question_id\": \"66970\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66971\",\n \"answer\": \"Bruce Wayne, playboy\"\n },\n {\n \"question_id\": \"66972\",\n \"answer\": \"the lifestyle of a millionaire playboy\"\n },\n {\n \"question_id\": \"66973\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66974\",\n \"answer\": \"as a bat\"\n },\n {\n \"question_id\": \"66975\",\n \"answer\": \"Because he had a childhood fear of bats\"\n },\n {\n \"question_id\": \"66976\",\n \"answer\": \"Superman\"\n },\n {\n \"question_id\": \"66977\",\n \"answer\": \"70 years\"\n },\n {\n \"question_id\": \"66978\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III: Lightfoot Tells How His Antlers Grew \n\nIt is hard to believe what seems impossible. And yet what seems impossible to you may be a very commonplace matter to some one else. So it does not do to say that a thing cannot be possible just because you cannot understand how it can be. Peter Rabbit wanted to believe what Lightfoot the Deer had just told him, but somehow he couldn't. If he had seen those antlers growing, it would have been another matter. But he hadn't seen Lightfoot since the very last of winter, and then Lightfoot had worn just such handsome antlers as he now had. So Peter really couldn't be blamed for not being able to believe that those old ones had been lost and in their place new ones had grown in just the few months of spring and summer. \n\nBut Peter didn't blame Lightfoot in the least, because he had told Peter that he didn't like to tell things to people who wouldn't believe what he told them when Peter had asked him about the rags hanging to his antlers. \"I'm trying to believe it,\" he said, quite humbly. \n\n\"It's all true,\" broke in another voice. \n\nPeter jumped and turned to find his big cousin, Jumper the Hare. Unseen and unheard, he had stolen up and had overheard what Peter and Lightfoot had said. \n\n\"How do you know it is true?\" snapped Peter a little crossly, for Jumper had startled him. \n\n\"Because I saw Lightfoot's old antlers after they had fallen off, and I often saw Lightfoot while his new ones were growing,\" retorted Jumper. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84852\": \"Who startled Peter?\"\n },\n {\n \"84853\": \"What kind of animal was he?\"\n },\n {\n \"84854\": \"Was he related to Peter?\"\n },\n {\n \"84855\": \"How?\"\n },\n {\n \"84856\": \"Was Jumper evesdropping?\"\n },\n {\n \"84857\": \"What had Lighfoot told Peter that he did not believe?\"\n },\n {\n \"84858\": \"When was the last time Peter saw him?\"\n },\n {\n \"84859\": \"Did he want to believe him?\"\n },\n {\n \"84860\": \"What kind of animal was Lightfoot?\"\n },\n {\n \"84861\": \"What did Jumper say about his story?\"\n },\n {\n \"84862\": \"How did he know it was true?\"\n },\n {\n \"84863\": \"How long had it taken for the new ones to grow?\"\n },\n {\n \"84864\": \"What was hanging from his antlers?\"\n },\n {\n \"84865\": \"Why did Peter blame Lightfoot?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84852\",\n \"answer\": \"Jumper\"\n },\n {\n \"question_id\": \"84853\",\n \"answer\": \"a Hare.\"\n },\n {\n \"question_id\": \"84854\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84855\",\n \"answer\": \"he was a cousin\"\n },\n {\n \"question_id\": \"84856\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84857\",\n \"answer\": \"that his old antlers had been lost and new ones grew in their place\"\n },\n {\n \"question_id\": \"84858\",\n \"answer\": \"the very last of winter,\"\n },\n {\n \"question_id\": \"84859\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84860\",\n \"answer\": \"Deer\"\n },\n {\n \"question_id\": \"84861\",\n \"answer\": \"\\\"It's all true,\\\"\"\n },\n {\n \"question_id\": \"84862\",\n \"answer\": \"he saw Lightfoot's old antlers and he saw Lightfoot often while the new ones were growing\"\n },\n {\n \"question_id\": \"84863\",\n \"answer\": \"just the few months of spring and summer.\"\n },\n {\n \"question_id\": \"84864\",\n \"answer\": \"rags\"\n },\n {\n \"question_id\": \"84865\",\n \"answer\": \"he didn't like to tell things to people who wouldn't believe what he told them\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Below are Top 10 Scholarly Stars in America in 2011. It's not always about fame and fortune for these celebs - education is a priority in their lives. Find out what scholarly stars have earned degrees and diplomas or are returning to the classroom as you head back to school. No. 10: James Franco James has attended FOUR prestigious universities in his life: UCLA, New York University, Columbia University and Yale University. We hear he's is so serious about school, he missed the Oscar nominations to attend class! No. 9: Natalie Portman Natalie Portman is so Ivy League: she graduated from Harvard University in 2003, thanks to her parents, who she says always made sure she put her studies before her acting. No. 8: Haley Joel Osment When students at NYU heard Haley Joel would be joining them as a freshman in 2006, they chalked the campus' sidewalks with his famous Sixth Sense movie line: \"I see dead people.\" No. 7: Emma Watson Although Emma Watson put her education on hold to wrap up the Harry Potter film series, in July 2011 she announced that she was going back to school at Brown University to complete her degree. No. 6: Dakota and Elle Fanning Celeb sisters Dakota and Elle Fanning are stars on screen and in class. Dakota was her high school's homecoming queen two years in a row while Elle, who still attends middle school, somehow manages to balance her acting career with math tests and gym class. No. 5: Mara Wilson Mara Wilson graduated from NYU in 2009. Mara, who played the adorable Nattie in Mrs. Doubtfire, eventually grew up and headed to New York to attend NYU's Tisch School of the Arts; she graduated in 2009. No. 4: Tyra Banks Tyra Banks is known for being a savvy businesswoman, but even the best could use some formal training. She enrolled in Harvard Business School in 2011 and even went so far as to live in a dorm with her fellow classmates! \"We live in dorms,\" confirmed the TV star. \"I have my own room but we share a kitchen, living room and study area. It's mandatory dorms. I freaked out. In the beginning I was like, 'Oh yes, I'm going to Harvard and I'll be at the Four Seasons down the street.' And they were like, 'Girl, you're living in dorms!'\" No. 3: Shakira Singer Shakira is resting her hips and giving her brain a workout at UCLA, attending classes on the history of western civilization so she could \"learn from the best\". No. 2: Steven Spielberg Director Steven skipped getting a formal education to be an unpaid intern at Universal Studios, where he learned his tricks of the _ . But eventually he did go back and earned his film degree in 2002. No. 1: Danica McKellar Danica McKellar is a math whiz. She used to be known for starring as Winnie Cooper in the Wonder Years, but Danica is also a UCLA graduate, math whiz and education advocate who's written three best-selling books encouraging middle-school girls to have confidence and succeed in mathematics.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35514\": \"What is the topic?\"\n },\n {\n \"35515\": \"Who is the tenth artist?\"\n },\n {\n \"35516\": \"How many colleges did he go to?\"\n },\n {\n \"35517\": \"Who's the ninth person?\"\n },\n {\n \"35518\": \"What type of university did she attend?\"\n },\n {\n \"35519\": \"In what year did she graduate?\"\n },\n {\n \"35520\": \"Who's next?\"\n },\n {\n \"35521\": \"In what year did she start at NYU?\"\n },\n {\n \"35522\": \"What movie was the person famous for?\"\n },\n {\n \"35523\": \"Which actress is next?\"\n },\n {\n \"35524\": \"What school did she return to after Harry Potter?\"\n },\n {\n \"35525\": \"Who's number 6 on the list?\"\n },\n {\n \"35526\": \"What \\\"accomplishment\\\" did Dakota have twice?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35514\",\n \"answer\": \"Top 10 Scholarly Stars in America in 2011\"\n },\n {\n \"question_id\": \"35515\",\n \"answer\": \"James Franco\"\n },\n {\n \"question_id\": \"35516\",\n \"answer\": \"FOUR\"\n },\n {\n \"question_id\": \"35517\",\n \"answer\": \"Natalie Portman\"\n },\n {\n \"question_id\": \"35518\",\n \"answer\": \"an Ivy League\"\n },\n {\n \"question_id\": \"35519\",\n \"answer\": \"2003\"\n },\n {\n \"question_id\": \"35520\",\n \"answer\": \"Haley Joel Osment\"\n },\n {\n \"question_id\": \"35521\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"35522\",\n \"answer\": \"The Sixth Sense\"\n },\n {\n \"question_id\": \"35523\",\n \"answer\": \"Emma Watson\"\n },\n {\n \"question_id\": \"35524\",\n \"answer\": \"Brown University\"\n },\n {\n \"question_id\": \"35525\",\n \"answer\": \"Dakota and Elle Fanning\"\n },\n {\n \"question_id\": \"35526\",\n \"answer\": \"homecoming queen\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Johannesburg (CNN) -- A plane carrying Madagascar's ousted leader Marc Ravalomanana was turned away from Madagascan airspace Saturday as he tried to return from exile, his spokesman and the airline said. \n\nRavalomanana, who had been in South Africa in exile, took off from Johannesburg Saturday morning in what was his second bid to return to his home country. \n\nBut Ravalomanana's spokesman Patrick Gearing, in South Africa, told CNN that the civil aviation authorities on the Indian Ocean island had closed the airspace, refusing the plane permission to land. \n\nBy Saturday afternoon the plane -- and Ravalomanana -- were back in South Africa, said Gearing. \n\nRavalomanana was ousted in March 2009 through a coup backed by the military, which handed power to current President Andry Rajoelina, the youthful former mayor of Antananarivo. \n\nShortly before boarding his flight to the capital, Antananarivo, Ravalomanana said that he had just spoken with the Madagascan Prime Minister Omer Beriziky, who told him \"everything was OK.\" \n\nSpeaking before the flight took off, Gearing said: \"He has no control over what will happen to him when he arrives but he is prepared to face whatever comes his way.\" \n\nRavalomanana's previous unsuccessful effort to return last year came to an end in Johannesburg, when the airline he was using was told it wouldn't be allowed to land if he was on board. \n\nMadagascar is in the process of implementing a peace agreement facilitated by a regional body, the South African Development Community. \n\nGearing says Ravalomanana met with South Africa's President Jacob Zuma Friday to thank him for letting him stay following his ouster. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27399\": \"Who was formerly the leader of Madagascar?\"\n },\n {\n \"27400\": \"What was he trying to do?\"\n },\n {\n \"27401\": \"Who was his spokesman?\"\n },\n {\n \"27402\": \"What did he say?\"\n },\n {\n \"27403\": \"Who did he tell that?\"\n },\n {\n \"27404\": \"Did they let him land?\"\n },\n {\n \"27405\": \"Where did they go after that?\"\n },\n {\n \"27406\": \"When was he removed from office?\"\n },\n {\n \"27407\": \"How?\"\n },\n {\n \"27408\": \"Who became President?\"\n },\n {\n \"27409\": \"Who was the Prime Minister?\"\n },\n {\n \"27410\": \"What did he say?\"\n },\n {\n \"27411\": \"What is Madagascar doing?\"\n },\n {\n \"27412\": \"Who is facilitating it?\"\n },\n {\n \"27413\": \"What's their name?\"\n },\n {\n \"27414\": \"Who did he meet with?\"\n },\n {\n \"27415\": \"Why?\"\n },\n {\n \"27416\": \"For what?\"\n },\n {\n \"27417\": \"When did he stay?\"\n },\n {\n \"27418\": \"Who was the South African President?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"27399\",\n \"answer\": \"Marc Ravalomanana\"\n },\n {\n \"question_id\": \"27400\",\n \"answer\": \"to return\"\n },\n {\n \"question_id\": \"27401\",\n \"answer\": \"Patrick Gearing\"\n },\n {\n \"question_id\": \"27402\",\n \"answer\": \"Airspace was closed.\"\n },\n {\n \"question_id\": \"27403\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"27404\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"27405\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"27406\",\n \"answer\": \"2009\"\n },\n {\n \"question_id\": \"27407\",\n \"answer\": \"a coup\"\n },\n {\n \"question_id\": \"27408\",\n \"answer\": \"Andry Rajoelina\"\n },\n {\n \"question_id\": \"27409\",\n \"answer\": \"Omer Beriziky\"\n },\n {\n \"question_id\": \"27410\",\n \"answer\": \"everything was OK\"\n },\n {\n \"question_id\": \"27411\",\n \"answer\": \"implementing a peace agreement\"\n },\n {\n \"question_id\": \"27412\",\n \"answer\": \"a regional body\"\n },\n {\n \"question_id\": \"27413\",\n \"answer\": \"South African Development Community\"\n },\n {\n \"question_id\": \"27414\",\n \"answer\": \"South Africa's President\"\n },\n {\n \"question_id\": \"27415\",\n \"answer\": \"to thank him\"\n },\n {\n \"question_id\": \"27416\",\n \"answer\": \"letting him stay\"\n },\n {\n \"question_id\": \"27417\",\n \"answer\": \"following his ouster\"\n },\n {\n \"question_id\": \"27418\",\n \"answer\": \"Jacob Zuma\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n London (CNN) -- Reports that a Scottish teenager took his own life after becoming the victim of an alleged Internet blackmail scam have heightened concerns in Britain over online abuse. \n\nDaniel Perry, from Dunfermline, was reportedly the victim of blackmailers who recorded his interactions via Skype with a person he believed was an American girl his own age. \n\nThey then threatened to show his family the footage unless he paid up, UK media reports say. Instead, the 17-year-old jumped from a bridge last month. \n\nNews of his death comes on the heels of outrage over the suicide of 14-year-old Hannah Smith, from Leicestershire in England. Her family said she took her own life after she was bullied on the social networking website ask.fm, having gone there to seek advice on the skin condition eczema. \n\nHer funeral was held Friday at St. Mary's Church in her hometown of Lutterworth. \n\nThe mourners were asked by Hannah's father to wear brightly colored clothes, not black, the church's vicar, the Rev. Charlie Styles, said in an online statement beforehand. \n\nStyles said the informal service would \"provide a focal point for the community in a time of shock and great sadness.\" \n\nDaniel was also taunted and urged to kill himself by trolls on the Ask.fm website, The Daily Telegraph newspaper said. \n\nThe Telegraph quoted Daniel's mother, Nicola, on Friday as saying the people behind the video scam he fell prey to are \"clever and dangerous\" and had manipulated the footage. \n\n\"He wasn't doing anything wrong, just what anyone his age might do, but this scam is all about exploiting young people,\" she said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15845\": \"What is alarming someone?\"\n },\n {\n \"15846\": \"What was the issue?\"\n },\n {\n \"15847\": \"How old was the victim?\"\n },\n {\n \"15848\": \"What was his name?\"\n },\n {\n \"15849\": \"Where was he from?\"\n },\n {\n \"15850\": \"What were they saying they would do with the film?\"\n },\n {\n \"15851\": \"How could he prevent this?\"\n },\n {\n \"15852\": \"What happened at St. Mary's church?\"\n },\n {\n \"15853\": \"how old was she?\"\n },\n {\n \"15854\": \"and where is she from?\"\n },\n {\n \"15855\": \"Did she and Daniel both die in the same way?\"\n },\n {\n \"15856\": \"How?\"\n },\n {\n \"15857\": \"Had anyone encouraged Daniel to committ suicide?\"\n },\n {\n \"15858\": \"Who did this?\"\n },\n {\n \"15859\": \"Did his mother think he had done something wrong?\"\n },\n {\n \"15860\": \"What does she think this scam does?\"\n },\n {\n \"15861\": \"What app did they use to film Daniel?\"\n },\n {\n \"15862\": \"Did he think he was speaking with someone in Britain?\"\n },\n {\n \"15863\": \"Where did he think the person was located?\"\n },\n {\n \"15864\": \"What ailment was Hannah seeking help for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15845\",\n \"answer\": \"an Internet blackmail scam\"\n },\n {\n \"question_id\": \"15846\",\n \"answer\": \"blackmailers who recorded interactions via Skype\"\n },\n {\n \"question_id\": \"15847\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"15848\",\n \"answer\": \"Daniel Perry\"\n },\n {\n \"question_id\": \"15849\",\n \"answer\": \"Dunfermline, Scottland\"\n },\n {\n \"question_id\": \"15850\",\n \"answer\": \"show his family the footage\"\n },\n {\n \"question_id\": \"15851\",\n \"answer\": \"pay\"\n },\n {\n \"question_id\": \"15852\",\n \"answer\": \"Hannah Smith's funeral\"\n },\n {\n \"question_id\": \"15853\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"15854\",\n \"answer\": \"Leicestershire in England\"\n },\n {\n \"question_id\": \"15855\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"15856\",\n \"answer\": \"suicide\"\n },\n {\n \"question_id\": \"15857\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"15858\",\n \"answer\": \"trolls on the Ask.fm website\"\n },\n {\n \"question_id\": \"15859\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15860\",\n \"answer\": \"exploi young people\"\n },\n {\n \"question_id\": \"15861\",\n \"answer\": \"Skype\"\n },\n {\n \"question_id\": \"15862\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15863\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"15864\",\n \"answer\": \"eczema\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Why are we addicted to upgrades? According to Donald Norman, American author of the book The Design of Everyday Things, \"planned obsolescence\" is the trick behind the upgrading culture of today's consumer electronics industry. \n\nThe New York Times cited Norman last month, saying that electronics manufactures strategically release new upgrades periodically, both for hardware and software, so that customers on every level feel the need to buy the newest version. \n\n\"This is an old-time trick- they're not inventing anything new,\" he said. \n\nThomas Wensma, a Dutch designer, despises the \"planned obsolescence\" of companies, as recently reported by UK-based The Guardian. \n\nWensma said this is a wasteful system through which companies - many of them producing personal electronics - release shoddy products simply because \"they know that, in six months or a year, they'll put out a new one\". \n\nBut the new psychology of consumers is part of this system, as Wensma said to the newspaper: \"We now want something new, something pretty, the next shiny thing.\" \n\n_ \n\n\"It's to the damage of the consumer and the environment,\" as the New York Times quoted Norman. \"But perhaps to the betterment of the stockholder.\" \n\nIn its most recent fiscal year, Apple's profit margin was more than 21 percent, reported the Los Angeles Times. At Hewlett-Packard, the world's biggest PC manufacturer, it was only 7 percent. \n\n\"Steven Jobs pushed the principle of 'planned obsolescence' to new heights,\" the newspaper commented on the company's profits and marketing strategy. \"Apple's annual upgrades of its products generate sales of millions of units as owners of one year's MacBook or iPhone line up to buy the newest version, even when the changes are incremental.\" \n\nPeer pressure \n\nAs to Li Jijia, the need for upgrading his smart phone comes mainly from friends and classmates. When the majority of friends are switching to the latest devices, he worries about feeling left out. \n\n\"Some apps and games require better hardware to run,\" said Li. \"If you don't join in, you lose part of the connection to your friends.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87430\": \"Who was the author of the book?\"\n },\n {\n \"87431\": \"Name of the book?\"\n },\n {\n \"87432\": \"What trick he talked about?\"\n },\n {\n \"87433\": \"What culture it represents?\"\n },\n {\n \"87434\": \"Of whom?\"\n },\n {\n \"87435\": \"Did anyone oppose the idea?\"\n },\n {\n \"87436\": \"What's his nationality?\"\n },\n {\n \"87437\": \"and profession?\"\n },\n {\n \"87438\": \"Who reported about him?\"\n },\n {\n \"87439\": \"From which country?\"\n },\n {\n \"87440\": \"going back - who reported about Norman?\"\n },\n {\n \"87441\": \"What upgraded he talked about?\"\n },\n {\n \"87442\": \"Did it give wrong feeling to the customers?\"\n },\n {\n \"87443\": \"about what?\"\n },\n {\n \"87444\": \"Did Wensma think it's wasteful?\"\n },\n {\n \"87445\": \"Who did he blame?\"\n },\n {\n \"87446\": \"What they released?\"\n },\n {\n \"87447\": \"What timeline usually they target?\"\n },\n {\n \"87448\": \"What Wensma thing is part of the system?\"\n },\n {\n \"87449\": \"To him what we now want?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87430\",\n \"answer\": \"Donald Norman\"\n },\n {\n \"question_id\": \"87431\",\n \"answer\": \"The Design of Everyday Things\"\n },\n {\n \"question_id\": \"87432\",\n \"answer\": \"\\\"planned obsolescence\\\"\"\n },\n {\n \"question_id\": \"87433\",\n \"answer\": \"upgrading culture\"\n },\n {\n \"question_id\": \"87434\",\n \"answer\": \"today's consumer electronics industry.\"\n },\n {\n \"question_id\": \"87435\",\n \"answer\": \"Thomas Wensma\"\n },\n {\n \"question_id\": \"87436\",\n \"answer\": \"Dutch\"\n },\n {\n \"question_id\": \"87437\",\n \"answer\": \"designer\"\n },\n {\n \"question_id\": \"87438\",\n \"answer\": \"The Guardian.\"\n },\n {\n \"question_id\": \"87439\",\n \"answer\": \"the UK\"\n },\n {\n \"question_id\": \"87440\",\n \"answer\": \"The New York Times\"\n },\n {\n \"question_id\": \"87441\",\n \"answer\": \"upgrades for hardware and software\"\n },\n {\n \"question_id\": \"87442\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87443\",\n \"answer\": \"they feel the need to buy the newest version.\"\n },\n {\n \"question_id\": \"87444\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87445\",\n \"answer\": \"electronics companies\"\n },\n {\n \"question_id\": \"87446\",\n \"answer\": \"shoddy products\"\n },\n {\n \"question_id\": \"87447\",\n \"answer\": \"six months or a year\"\n },\n {\n \"question_id\": \"87448\",\n \"answer\": \"the new psychology of consumers\"\n },\n {\n \"question_id\": \"87449\",\n \"answer\": \"We now want something new, something pretty, the next shiny thing.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When your pet meets your infant, it might not be love at first sniff. \n\nBaby's Best Friend \n\nWhen Jennifer Merritt brought her baby, Arielle, home from the hospital, her cherished dogs had very different reactions. Her boxer, Sonya, was immediately gentle and protective. But Tiger, the Pomeranian, was less welcoming: \"If any diapers or toys were on the floor, he peed on them!\"says the Greenbrier, prefix = st1 /Arkansas, mom. Tiger isn't the first dog to feel jealous of a baby. In the eyes of a pet's, there's a new star in town who's stealing his spotlight. Even the most gentle animal will probably act up if he doesn't get his usual attention. These simple steps will help your pet adjust -- and keep your baby safe. \n\nu Introduce Them with Care \n\nYour newborn and pet's first encounter can set the tone for their relationship. To make it as smooth as possible, try this trick from Caryn Ruiz, of Raleigh, North Carolina: \"Before we left the hospital, my husband took blankets home to our dog, Daisy, so she'd know our newborn Devon's smell.\" When you get home, have your husband carry the baby so you can greet your pet without worrying about her jumping on you. A cat will likely walk away at first, while a dog will probably want to investigate right away. \n\nTo introduce your baby, get down on your pet's level and let her have a hello sniff. Don't panic and pull your newborn away unless your pet is barking or hissing, because it'll send the message that the baby is a threat. \n\nu Learn the Safety Basics \n\nNo matter how smoothly the introduction goes, there are certain safety rules you should follow, says Bonnie Beaver, DVM, past president of the American Veterinary Medical Association. Number one: Never leave your baby alone with the pet. Even the gentlest animal can react unpredictably. Your baby's crying could frighten your cat, or your dog could suddenly become territorial. Consider setting up baby gates to limit your pet's access. To keep your cat from jumping into the bassinet , try putting mosquito netting over the top. Cats hate sticky paws, so keep the crib and changing table off-limits by lining the edges with sticky strips made for furniture (available in most pet stores). You can also train your dog to sleep in a crate.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1017\": \"Do pets always like their owner's babies immediately?\"\n },\n {\n \"1018\": \"What did the Pomeranian do to the baby's belongings?\"\n },\n {\n \"1019\": \"Why did he do that?\"\n },\n {\n \"1020\": \"How can you exclude animals from baby's area?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1017\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1018\",\n \"answer\": \"peed on them\"\n },\n {\n \"question_id\": \"1019\",\n \"answer\": \"he was jealous\"\n },\n {\n \"question_id\": \"1020\",\n \"answer\": \"with baby gates\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Singing competition shows like \"American Idol\" and \"The Voice\" don't only make stars, they rehabilitate them. \n\nJust ask Jennifer Lopez, whose seat at the \"American Idol\" judges' table paved the way for the success of her 2011 album and her recently announced summer tour. Or Maroon 5, who benefited greatly from frontman Adam Levine's spot on \"The Voice.\" Even his fellow \"Voice\" judge, Christina Aguilera, cashed in on the group's best-selling single \"Moves Like Jagger.\" \n\nBut for a megawatt star like Britney Spears, who already experienced a comeback of sorts in 2008 with the release of \"Circus\" not long after her fall from grace, a judging and mentoring gig on \"The X Factor\" isn't needed to sell albums. \n\nUnlike her aforementioned reality show judge counterparts, Spears joins the Fox singing competition still riding the success of her seventh studio album, and her worldwide \"Femme Fatale Tour.\" Even the star's personal life appears to be more in order these days. \n\nBut the pop princess hasn't exactly been accessible to her fans since she was placed in a conservatorship in 2008. And as stars like Lady Gaga and Beyonce have figured out, there's more to being a singing sensation in 2012 than meets the ear. \n\nFans want to relate to their favorite artists on a personal level, said Andy Greene, an associate editor at Rolling Stone. Becoming a mainstay on a show like \"The X Factor,\" and showing off her personality each week, could reignite the level of fame Spears experienced in the early 2000s, Greene added. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83526\": \"What show did Jennifer Lopez judge?\"\n },\n {\n \"83527\": \"And Adam Levine?\"\n },\n {\n \"83528\": \"What about Christina Aguilera?\"\n },\n {\n \"83529\": \"And Britney Spears?\"\n },\n {\n \"83530\": \"Does Adam Levine play drums?\"\n },\n {\n \"83531\": \"What song did Levine and Aguilera collaborate on?\"\n },\n {\n \"83532\": \"How many albums has Spears had?\"\n },\n {\n \"83533\": \"Is she touring?\"\n },\n {\n \"83534\": \"What's the tour name?\"\n },\n {\n \"83535\": \"What is Andy Greene's job?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83526\",\n \"answer\": \"\\\"American Idol\\\"\"\n },\n {\n \"question_id\": \"83527\",\n \"answer\": \"\\\"The Voice.\\\"\"\n },\n {\n \"question_id\": \"83528\",\n \"answer\": \"Also \\\"Voice.\\\"\"\n },\n {\n \"question_id\": \"83529\",\n \"answer\": \"\\\"The X Factor\\\"\"\n },\n {\n \"question_id\": \"83530\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83531\",\n \"answer\": \"\\\"Moves Like Jagger.\\\"\"\n },\n {\n \"question_id\": \"83532\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"83533\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"83534\",\n \"answer\": \"\\\"Femme Fatale Tour.\\\"\"\n },\n {\n \"question_id\": \"83535\",\n \"answer\": \"Editor at Rolling Stone.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nJoe went to bed that night with a promise to himself to rise early next morning, for he had been invited to take part in a \"raising,\" which term meant that a new cabin was to be erected, and such task was ever an event in the lives of the settlers. \n\nThe following morning Joe rose early, dressing himself in a complete buckskin suit, for which he had exchanged his good garments of cloth. Never before had he felt so comfortable. He wanted to hop, skip and jump. The soft, undressed buckskin was as warm and smooth as silk-plush; the weight so light, the moccasins so well-fitting and springy, that he had to put himself under considerable restraint to keep from capering about like a frolicsome colt. \n\nThe possession of this buckskin outfit, and the rifle and accouterments which went with the bargain, marked the last stage in Joe's surrender to the border fever. The silent, shaded glens, the mystery of the woods, the breath of this wild, free life claimed him from this moment entirely and forever. \n\nHe met the others, however, with a serene face, showing no trace of the emotion which welled up strongly from his heart. Nell glanced shyly at him; Kate playfully voiced her admiration; Jim met him with a brotherly ridicule which bespoke his affection as well as his amusement; but Colonel Zane, having once yielded to the same burning, riotous craving for freedom which now stirred in the boy's heart, understood, and felt warmly drawn toward the lad. He said nothing, though as he watched Joe his eyes were grave and kind. In his long frontier life, where many a day measured the life and fire of ordinary years, he had seen lad after lad go down before this forest fever. It was well, he thought, because the freedom of the soil depended on these wild, light-footed boys; yet it always made him sad. How many youths, his brother among them, lay under the fragrant pine-needle carpet of the forest, in their last earthly sleep! \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77226\": \"What was the event?\"\n },\n {\n \"77227\": \"What does that mean?\"\n },\n {\n \"77228\": \"Where does this story take place?\"\n },\n {\n \"77229\": \"Who awoke?\"\n },\n {\n \"77230\": \"What did he wear?\"\n },\n {\n \"77231\": \"How did he get it?\"\n },\n {\n \"77232\": \"Was the suit comfortable?\"\n },\n {\n \"77233\": \"How many girls are in this story?\"\n },\n {\n \"77234\": \"What was her name?\"\n },\n {\n \"77235\": \"Were they on the prairie?\"\n },\n {\n \"77236\": \"What was the terrain like?\"\n },\n {\n \"77237\": \"who took an earthly slumber?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"77226\",\n \"answer\": \"a \\\"raising,\\\"\"\n },\n {\n \"question_id\": \"77227\",\n \"answer\": \"a new cabin was to be erected\"\n },\n {\n \"question_id\": \"77228\",\n \"answer\": \"near the border\"\n },\n {\n \"question_id\": \"77229\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"77230\",\n \"answer\": \"complete buckskin suit\"\n },\n {\n \"question_id\": \"77231\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77232\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77233\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"77234\",\n \"answer\": \"Kate\"\n },\n {\n \"question_id\": \"77235\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77236\",\n \"answer\": \"shaded glens, the mystery of the woods\"\n },\n {\n \"question_id\": \"77237\",\n \"answer\": \"Colonel Zane\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Homosexual couples in New York are being married for the first time after Governor Andrew Cuomo signed a law permitting same-sex marriage in the state last month. But such marriages, though now legal in New York, remain controversial . So many couples wanted to be married on Sunday, the first day of legal homosexual marriage in New York City, that local officials announced a lottery to determine qualification. New York City Council Speaker Christine Quinn, herself openly gay, witnessed the first two ceremonies of same-sex marriage. She says the same-sex marriage law supports equality. \"A law that says every family is as good as every other family; that every family is based on love, and is exactly the way God wants it to be,\" she said. Margie Phelps announced same-sex marriage as a crime against God. She and other Christians from the Westboro Baptist Church in Topeka, Kansas came halfway across the country to say marriage is defined by Holy Bible. \"The pattern is one man and one woman for life to have children who you raise in the nurture and admonition of the Lord,\" she said. David Schwartz, a traditional Jew, believes every human being has free choice and the power to rule over their desires. He considers homosexual desire to be wrong. \"There's one God in heaven and earth, and he has ordered for all mankind that they should limit their affections to relationships between a man and a woman in the context of marriage,\" he said. Douglas Robinson and his partner of 25 years, Michael Elsasser, were in the first group to be married in Manhattan. Robinson says the United States allows religious views to coexist with(...) what he believes is a civil right of same-sex marriage. \"You can have different opinions. This is a tent, some people call it a mixture of various different cultures and opinions and the like, so God bless America, and we are proud to be Americans,\" he said. Margie Phelps believes God will punish New York City for permitting what she believes to be moral decay. Meanwhile, Nevin Cohen and Daniel Hernandez showed off their marriage certificate. But they said they will not be going on a honeymoon. They say they need to be at work in New York on Monday.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19398\": \"What is the topic?\"\n },\n {\n \"19399\": \"What state is it about?\"\n },\n {\n \"19400\": \"Who allowed it?\"\n },\n {\n \"19401\": \"What day did it begin?\"\n },\n {\n \"19402\": \"Were there many persons trying to be wed?\"\n },\n {\n \"19403\": \"How did they handle the situation?\"\n },\n {\n \"19404\": \"Did everyone agree with the legislation?\"\n },\n {\n \"19405\": \"Are there religious reasons for opposing it?\"\n },\n {\n \"19406\": \"Which religious organization traveled across the US?\"\n },\n {\n \"19407\": \"What does the legislation promote for its supporters?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19398\",\n \"answer\": \"homosexual marriage\"\n },\n {\n \"question_id\": \"19399\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"19400\",\n \"answer\": \"Governor Andrew Cuomo\"\n },\n {\n \"question_id\": \"19401\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"19402\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19403\",\n \"answer\": \"a lottery to determine qualification\"\n },\n {\n \"question_id\": \"19404\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"19405\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19406\",\n \"answer\": \"Westboro Baptist Church\"\n },\n {\n \"question_id\": \"19407\",\n \"answer\": \"equality.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Oxygen is a chemical element with symbol O and atomic number 8. It is a member of the chalcogen group on the periodic table and is a highly reactive nonmetal and oxidizing agent that readily forms compounds (notably oxides) with most elements. By mass, oxygen is the third-most abundant element in the universe, after hydrogen and helium. At standard temperature and pressure, two atoms of the element bind to form dioxygen, a colorless and odorless diatomic gas with the formula O 2. Diatomic oxygen gas constitutes 20.8% of the Earth's atmosphere. However, monitoring of atmospheric oxygen levels show a global downward trend, because of fossil-fuel burning. Oxygen is the most abundant element by mass in the Earth's crust as part of oxide compounds such as silicon dioxide, making up almost half of the crust's mass. \n\nMany major classes of organic molecules in living organisms, such as proteins, nucleic acids, carbohydrates, and fats, contain oxygen, as do the major inorganic compounds that are constituents of animal shells, teeth, and bone. Most of the mass of living organisms is oxygen as it is a part of water, the major constituent of lifeforms. Oxygen is used in cellular respiration and released by photosynthesis, which uses the energy of sunlight to produce oxygen from water. It is too chemically reactive to remain a free element in air without being continuously replenished by the photosynthetic action of living organisms. Another form (allotrope) of oxygen, ozone (O 3), strongly absorbs UVB radiation and consequently the high-altitude ozone layer helps protect the biosphere from ultraviolet radiation, but is a pollutant near the surface where it is a by-product of smog. At even higher low earth orbit altitudes, sufficient atomic oxygen is present to cause erosion for spacecraft.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79634\": \"What is the article about?\"\n },\n {\n \"79635\": \"What is its symbol?\"\n },\n {\n \"79636\": \"it's numeral?\"\n },\n {\n \"79637\": \"is it abundant?\"\n },\n {\n \"79638\": \"how does it rank?\"\n },\n {\n \"79639\": \"What is more abundant?\"\n },\n {\n \"79640\": \"What makes up O2?\"\n },\n {\n \"79641\": \"What seems to be lowering earths levels of O2?\"\n },\n {\n \"79642\": \"Does O2 exist inside our planet?\"\n },\n {\n \"79643\": \"How is O2 released by plants? What process?\"\n },\n {\n \"79644\": \"What is O3?\"\n },\n {\n \"79645\": \"Where is this found?\"\n },\n {\n \"79646\": \"Is it found near the face of the planet?\"\n },\n {\n \"79647\": \"What is this called?\"\n },\n {\n \"79648\": \"Does smog cause this?\"\n },\n {\n \"79649\": \"What can erode space vehicles?\"\n },\n {\n \"79650\": \"At what level?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79634\",\n \"answer\": \"Oxygen\"\n },\n {\n \"question_id\": \"79635\",\n \"answer\": \"O\"\n },\n {\n \"question_id\": \"79636\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"79637\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79638\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"79639\",\n \"answer\": \"hydrogen and helium\"\n },\n {\n \"question_id\": \"79640\",\n \"answer\": \"two atoms of oxygen\"\n },\n {\n \"question_id\": \"79641\",\n \"answer\": \"fossil-fuel burning\"\n },\n {\n \"question_id\": \"79642\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79643\",\n \"answer\": \"photosynthesis\"\n },\n {\n \"question_id\": \"79644\",\n \"answer\": \"ozone\"\n },\n {\n \"question_id\": \"79645\",\n \"answer\": \"high-altitude\"\n },\n {\n \"question_id\": \"79646\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79647\",\n \"answer\": \"a pollutant\"\n },\n {\n \"question_id\": \"79648\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79649\",\n \"answer\": \"atomic oxygen\"\n },\n {\n \"question_id\": \"79650\",\n \"answer\": \"higher low earth orbit altitudes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Arvind Mahankali, a 13-year-old eighth-grader from Bayside Hills, New York, won the Scripps National Spelling Bee on Thursday, correctly spelling the word \"knaidel.\" \n\n\"It means that I am retiring on a good note,\" said Mahankali, who attends Nathaniel Hawthorne Middle School 74 and was in his last year of eligibility. \"I shall spend the summer, maybe the entire day, studying physics.\" \n\nMahankali, who wants to become a physicist, had finished third in the two previous national bees, being eliminated after misspelling words with German roots. \n\n\"I thought that the German curse had turned into a German blessing,\" he said, when asked what he thought when he heard the final word, a German-derived Yiddish word for a type of dumpling. \n\nPranav Sivakumar, a 13-year-old from Tower Lakes, Illinois, finished second. He missed on \"cyanophycean\" before Mahankali nailed \"tokonoma\" and \"knaidel\" for the victory. \n\nThe annual contest offers the winner a healthy dose of classroom cred, $32,500 in cash and savings bonds, a trophy and a library of reference materials. \n\nContest isn't bee-all and end-all \n\nEleven million schoolchildren participated in preliminaries leading up to the national contest this week. Of those, 281 children made the trip to Oxon Hill, Maryland, just outside Washington, for the national bee. Eleven spellers made it through to the finals. \n\nAmong them were 63 children who had been to at least one national bee before, and had to prepare for some changes in the rules for this year's events. \n\nFor the first time, participants had to demonstrate proficiency in vocabulary in addition to spelling. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96041\": \"Who is the young subject of the story?\"\n },\n {\n \"96042\": \"How old is he?\"\n },\n {\n \"96043\": \"What did he win?\"\n },\n {\n \"96044\": \"What was the winning word?\"\n },\n {\n \"96045\": \"What is he doing after this event?\"\n },\n {\n \"96046\": \"What does he want to do when he grows up?\"\n },\n {\n \"96047\": \"How did he do in his last two competitions?\"\n },\n {\n \"96048\": \"What kind of words did he have trouble with?\"\n },\n {\n \"96049\": \"What was the origin of the final word this time?\"\n },\n {\n \"96050\": \"What does the word mean?\"\n },\n {\n \"96051\": \"Who was the runner-up?\"\n },\n {\n \"96052\": \"How old is he?\"\n },\n {\n \"96053\": \"Where's he from?\"\n },\n {\n \"96054\": \"What did he misspell?\"\n },\n {\n \"96055\": \"What other word did the winning contestant get right?\"\n },\n {\n \"96056\": \"What's the financial reward for the winner?\"\n },\n {\n \"96057\": \"Do they also get a trophy?\"\n },\n {\n \"96058\": \"Anything else?\"\n },\n {\n \"96059\": \"What?\"\n },\n {\n \"96060\": \"How many kids participate in the prelims for the event?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96041\",\n \"answer\": \"Arvind Mahankali\"\n },\n {\n \"question_id\": \"96042\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"96043\",\n \"answer\": \"the Scripps National Spelling Bee\"\n },\n {\n \"question_id\": \"96044\",\n \"answer\": \"\\\"knaidel\\\"\"\n },\n {\n \"question_id\": \"96045\",\n \"answer\": \"studying physics\"\n },\n {\n \"question_id\": \"96046\",\n \"answer\": \"wants to become a physicist\"\n },\n {\n \"question_id\": \"96047\",\n \"answer\": \"he finished third\"\n },\n {\n \"question_id\": \"96048\",\n \"answer\": \"words with German roots\"\n },\n {\n \"question_id\": \"96049\",\n \"answer\": \"German\"\n },\n {\n \"question_id\": \"96050\",\n \"answer\": \"dumpling\"\n },\n {\n \"question_id\": \"96051\",\n \"answer\": \"Pranav Sivakumar\"\n },\n {\n \"question_id\": \"96052\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"96053\",\n \"answer\": \"Tower Lakes, Illinois\"\n },\n {\n \"question_id\": \"96054\",\n \"answer\": \"\\\"cyanophycean\\\"\"\n },\n {\n \"question_id\": \"96055\",\n \"answer\": \"\\\"tokonoma\\\"\"\n },\n {\n \"question_id\": \"96056\",\n \"answer\": \"$32,500 in cash\"\n },\n {\n \"question_id\": \"96057\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96058\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96059\",\n \"answer\": \"a library of reference materials\"\n },\n {\n \"question_id\": \"96060\",\n \"answer\": \"eleven million\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 29 November 1947, the United Nations General Assembly recommended the adoption and implementation of the Partition Plan for Mandatory Palestine. This UN plan specified borders for new Arab and Jewish states and also specified an area of Jerusalem and its environs which was to be administered by the UN under an international regime. The end of the British Mandate for Palestine was set for midnight on 14 May 1948. That day, David Ben-Gurion, the executive head of the Zionist Organization and president of the Jewish Agency for Palestine, declared \"the establishment of a Jewish state in Eretz Israel, to be known as the State of Israel,\" which would start to function from the termination of the mandate. The borders of the new state were not specified in the declaration. Neighboring Arab armies invaded the former Palestinian mandate on the next day and fought the Israeli forces. Israel has since fought several wars with neighboring Arab states, in the course of which it has occupied the West Bank, Sinai Peninsula (1956–57, 1967–82), part of Southern Lebanon (1982–2000), Gaza Strip (1967–2005; still considered occupied after 2005 disengagement) and the Golan Heights. It extended its laws to the Golan Heights and East Jerusalem, but not the West Bank. Efforts to resolve the Israeli–Palestinian conflict have not resulted in peace. However, peace treaties between Israel and both Egypt and Jordan have successfully been signed. Israel's occupation of Gaza, the West Bank and East Jerusalem is the world's longest military occupation in modern times.[note 2]\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46034\": \"What was proposed on November 29, 1947?\"\n },\n {\n \"46035\": \"What borders were involved?\"\n },\n {\n \"46036\": \"What was the name of the plan?\"\n },\n {\n \"46037\": \"What was the international regine to do?\"\n },\n {\n \"46038\": \"Who was the head of Zionist Organization?\"\n },\n {\n \"46039\": \"What declaration did he make?\"\n },\n {\n \"46040\": \"When would operations there begin?\"\n },\n {\n \"46041\": \"What borders were on the declaration?\"\n },\n {\n \"46042\": \"Were the borders written out in the declaration?\"\n },\n {\n \"46043\": \"Who invaded the day after the declaration?\"\n },\n {\n \"46044\": \"What is the outcome between Irael and Palestine?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46034\",\n \"answer\": \"United Nations General Assembly\"\n },\n {\n \"question_id\": \"46035\",\n \"answer\": \"Arab and Jewish states\"\n },\n {\n \"question_id\": \"46036\",\n \"answer\": \"Partition Plan\"\n },\n {\n \"question_id\": \"46037\",\n \"answer\": \"specified borders for new Arab and Jewish states and also specified an area of Jerusalem and its environs\"\n },\n {\n \"question_id\": \"46038\",\n \"answer\": \"David Ben-Gurion\"\n },\n {\n \"question_id\": \"46039\",\n \"answer\": \"the establishment of a Jewish state\"\n },\n {\n \"question_id\": \"46040\",\n \"answer\": \"14 May 1948\"\n },\n {\n \"question_id\": \"46041\",\n \"answer\": \"West Bank, Sinai Peninsula, part of Southern Lebanon , Gaza Strip (1967\\u20132005; still considered occupied after 2005 disengagement)\"\n },\n {\n \"question_id\": \"46042\",\n \"answer\": \"West Bank.\"\n },\n {\n \"question_id\": \"46043\",\n \"answer\": \"Neighboring Arab\"\n },\n {\n \"question_id\": \"46044\",\n \"answer\": \"Israel has since fought several wars with neighboring Arab states\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVI. \n\n\"WHEN THE DEVIL DRIVES.\" \n\nMonsieur de Vivonne had laid his ambuscade with discretion. With a closed carriage and a band of chosen ruffians he had left the palace a good half-hour before the king's messengers, and by the aid of his sister's gold he had managed that their journey should not be a very rapid one. On reaching the branch road he had ordered the coachman to drive some little distance along it, and had tethered all the horses to a fence under his charge. He had then stationed one of the band as a sentinel some distance up the main highway to flash a light when the two courtiers were approaching. A stout cord had been fastened eighteen inches from the ground to the trunk of a wayside sapling, and on receiving the signal the other end was tied to a gate-post upon the further side. The two cavaliers could not possibly see it, coming as it did at the very curve of the road, and as a consequence their horses fell heavily to the ground, and brought them down with them. In an instant the dozen ruffians who had lurked in the shadow of the trees sprang out upon them, sword in hand; but there was no movement from either of their victims. De Catinat lay breathing heavily, one leg under his horse's neck, and the blood trickling in a thin stream down his pale face, and falling, drop by drop, on to his silver shoulder-straps. Amos Green was unwounded, but his injured girth had given way in the fall, and he had been hurled from his horse on to the hard road with a violence which had driven every particle of breath from his body. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43226\": \"What was the driver ordered to do?\"\n },\n {\n \"43227\": \"where?\"\n },\n {\n \"43228\": \"Who was travelling?\"\n },\n {\n \"43229\": \"and?\"\n },\n {\n \"43230\": \"Where we they coming from?\"\n },\n {\n \"43231\": \"Did they travel quickly?\"\n },\n {\n \"43232\": \"Who approached the travellers?\"\n },\n {\n \"43233\": \"Did they mean the travellers harm?\"\n },\n {\n \"43234\": \"Did the two parties meet amicably?\"\n },\n {\n \"43235\": \"How many swordarms were there?\"\n },\n {\n \"43236\": \"Did the stricken horsemen fight back?\"\n },\n {\n \"43237\": \"What were the horsemen's names?\"\n },\n {\n \"43238\": \"and?\"\n },\n {\n \"43239\": \"How were the horsemen brought down?\"\n },\n {\n \"43240\": \"Had Green any air in his lungs?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43226\",\n \"answer\": \"drive some little distance\"\n },\n {\n \"question_id\": \"43227\",\n \"answer\": \"along the branch road\"\n },\n {\n \"question_id\": \"43228\",\n \"answer\": \"Monsieur de Vivonne\"\n },\n {\n \"question_id\": \"43229\",\n \"answer\": \"a band of chosen ruffians\"\n },\n {\n \"question_id\": \"43230\",\n \"answer\": \"the palace\"\n },\n {\n \"question_id\": \"43231\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43232\",\n \"answer\": \"two courtiers\"\n },\n {\n \"question_id\": \"43233\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"43234\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43235\",\n \"answer\": \"a dozen\"\n },\n {\n \"question_id\": \"43236\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43237\",\n \"answer\": \"De Catinat\"\n },\n {\n \"question_id\": \"43238\",\n \"answer\": \"Amos Green\"\n },\n {\n \"question_id\": \"43239\",\n \"answer\": \"A stout cord had been fastened eighteen inches from the ground\"\n },\n {\n \"question_id\": \"43240\",\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 Steve was excited about the trip he was taking tonight. The family was going out to his favorite place to eat. Steve loved spaghetti and meatballs, and the restaurant made the very best! \n\nWhen Steve and his parents got to the restaurant, his mother had to tell him to stop running so fast. Steve couldn't help himself, he wanted to be inside and at a table so badly. The restaurant had pictures of all the people that used to work there in the past, it had been around for a long time with a history of such great food. It was not the first time his mother had to tell him to slow down. \n\nWhen they were taken to their table and went through the curtain to the dining area, Steve had another nice surprise waiting for him. It would not be a table for three, his favorite aunt and uncle were waiting at the table for them! Steve sat down quickly to get some of the bread sticks before they were all gone. \n\nSteve did not even need a menu, he knew what he wanted. Bring on the spaghetti and meatballs, nice and hot!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76292\": \"why was steve excited?\"\n },\n {\n \"76293\": \"where was he going?\"\n },\n {\n \"76294\": \"did he like spaghetti?\"\n },\n {\n \"76295\": \"and also meat balls?\"\n },\n {\n \"76296\": \"was the restaurant old or new?\"\n },\n {\n \"76297\": \"what did his mother have to tell him when they got there?\"\n },\n {\n \"76298\": \"what was the other surprise for steven?\"\n },\n {\n \"76299\": \"did Steven have bread sticks?\"\n },\n {\n \"76300\": \"what did he want to eat?\"\n },\n {\n \"76301\": \"hot or cold?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76292\",\n \"answer\": \"taking a trip\"\n },\n {\n \"question_id\": \"76293\",\n \"answer\": \"his favorite restaurant\"\n },\n {\n \"question_id\": \"76294\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76295\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76296\",\n \"answer\": \"old\"\n },\n {\n \"question_id\": \"76297\",\n \"answer\": \"to slow down\"\n },\n {\n \"question_id\": \"76298\",\n \"answer\": \"his aunt and uncle were there\"\n },\n {\n \"question_id\": \"76299\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76300\",\n \"answer\": \"spaghetti and meatballs\"\n },\n {\n \"question_id\": \"76301\",\n \"answer\": \"hot\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Is there intelligent life on other planets? For years, scientists said \"no.\" or \"we don't know.\" But today this is changing. Seth Shostak and Alexandra Barnett are astronomers . They believe intelligent life exists somewhere in the universe. They also think we sill soon contact these beings(;). Why do Shostak and Barnett think intelligent life exists on other planets? The first reason is time. Scientists believe the universe is about 12 billion years old. \"This is long enough for other planets to have intelligent life,\" say Shostak and Barnett. The second reason is size--the universe is huge. \"Tools like the Hubble Telescope have shown that there are at least 100 billion galaxies,\" says Shostak. \"And our galaxy, the Milky Way, has at least 100 billion stars. Some planets going around these stars might be similar to Earth.\" In the past, it was hard to look for signs of intelligent life in the universe. But now, powerful telescopes allow scientists to discover smaller planets--the size of Mars or Earth--in other solar systems. These planets might have intelligent life. Have beings from space already visited Earth? \"Probably not,\" says Shostak. \"It's a long way away. However, intelligent beings may contact us in other way, such as radio signals . In fact, they may be trying to communicate with us now, but we don't have the right tools to receive their messages. However, this is changing. By 2025, we could make contact with other life forms in our universe and we might help each other.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15145\": \"Are we able to communicate with other planets?\"\n },\n {\n \"15146\": \"Why not?\"\n },\n {\n \"15147\": \"Will we ever?\"\n },\n {\n \"15148\": \"When?\"\n },\n {\n \"15149\": \"Who thinks that?\"\n },\n {\n \"15150\": \"Who is he?\"\n },\n {\n \"15151\": \"Does he believe in alien intelligent life?\"\n },\n {\n \"15152\": \"Do others believe that?\"\n },\n {\n \"15153\": \"Who else?\"\n },\n {\n \"15154\": \"Who is that?\"\n },\n {\n \"15155\": \"What do they think?\"\n },\n {\n \"15156\": \"What makes them so sure?\"\n },\n {\n \"15157\": \"What about time?\"\n },\n {\n \"15158\": \"Why does that matter?\"\n },\n {\n \"15159\": \"What's another reason?\"\n },\n {\n \"15160\": \"How big?\"\n },\n {\n \"15161\": \"Why does that matter?\"\n },\n {\n \"15162\": \"Why is that important?\"\n },\n {\n \"15163\": \"How would we know if there was life?\"\n },\n {\n \"15164\": \"Has earth already been visited by aliens?\"\n },\n {\n \"15165\": \"Why not?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15145\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15146\",\n \"answer\": \"we don't have the right tools to receive their messages\"\n },\n {\n \"question_id\": \"15147\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15148\",\n \"answer\": \"By 2025\"\n },\n {\n \"question_id\": \"15149\",\n \"answer\": \"Seth Shostak\"\n },\n {\n \"question_id\": \"15150\",\n \"answer\": \"astronomer\"\n },\n {\n \"question_id\": \"15151\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15152\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15153\",\n \"answer\": \"Alexandra Barnett\"\n },\n {\n \"question_id\": \"15154\",\n \"answer\": \"astronomer\"\n },\n {\n \"question_id\": \"15155\",\n \"answer\": \"intelligent life exists somewhere in the universe\"\n },\n {\n \"question_id\": \"15156\",\n \"answer\": \"The first reason is time\"\n },\n {\n \"question_id\": \"15157\",\n \"answer\": \"the universe is about 12 billion years old\"\n },\n {\n \"question_id\": \"15158\",\n \"answer\": \"This is long enough for other planets to have intelligent life\"\n },\n {\n \"question_id\": \"15159\",\n \"answer\": \"size--the universe is huge\"\n },\n {\n \"question_id\": \"15160\",\n \"answer\": \"at least 100 billion galaxies\"\n },\n {\n \"question_id\": \"15161\",\n \"answer\": \"our galaxy, the Milky Way, has at least 100 billion stars\"\n },\n {\n \"question_id\": \"15162\",\n \"answer\": \"Some planets going around these stars might be similar to Earth\"\n },\n {\n \"question_id\": \"15163\",\n \"answer\": \"powerful telescopes allow scientists to discover smaller planets\"\n },\n {\n \"question_id\": \"15164\",\n \"answer\": \"\\\"Probably not,\\\"\"\n },\n {\n \"question_id\": \"15165\",\n \"answer\": \"It's a long way away\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Seedy the watermelon was a very special type of watermelon. He didn't have any seeds. He was green and he had stripes. All of his cousins had seeds, but he didn't have any. He felt very left out. He couldn't thing of why he was different. His mom told him it was because he was a very special watermelon. She also tells him she loves him the way he is. But Seedy didn't think it was a good thing. He wished he could be like everyone else and have seeds. One day, he rolled out to the lawn and looked at all of his new cousins growing in the garden. He rolled around until he found a little baby watermelon that didn't have any seeds either. He sat next to him and talked to him. He told him that he was very special, and was excited for him to be picked off the vine and be his special best friend. He would name him Seedy, Jr.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64304\": \"How was Seedy different?\"\n },\n {\n \"64305\": \"What color was he?\"\n },\n {\n \"64306\": \"What did his parent believe?\"\n },\n {\n \"64307\": \"Did he believe that?\"\n },\n {\n \"64308\": \"What did he think about another melon not having seeds?\"\n },\n {\n \"64309\": \"What did he call this one?\"\n },\n {\n \"64310\": \"Did they become friends then?\"\n },\n {\n \"64311\": \"Were they family members?\"\n },\n {\n \"64312\": \"Did Seedy accept himself?\"\n },\n {\n \"64313\": \"What was his mother's name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64304\",\n \"answer\": \"He didn't have any seeds.\"\n },\n {\n \"question_id\": \"64305\",\n \"answer\": \"Green with stripes.\"\n },\n {\n \"question_id\": \"64306\",\n \"answer\": \"He was special.\"\n },\n {\n \"question_id\": \"64307\",\n \"answer\": \"But Seedy didn't think it was a good thing\"\n },\n {\n \"question_id\": \"64308\",\n \"answer\": \"He told him that he was very special.\"\n },\n {\n \"question_id\": \"64309\",\n \"answer\": \"Seedy Jr.\"\n },\n {\n \"question_id\": \"64310\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"64311\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"64312\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"64313\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIV. THE PARTNER \n\n\n\nThe expected telegram arrived two days later, requesting Miss Mohun to find a lodging at Rockstone sufficient to contain Sir Jasper and Lady Merrifield, and a certain amount of sons and daughters, while they considered what was to be done about Silverfold. \n\n'So you and I will go out house-hunting, Gillian?' said Aunt Jane, when she had opened it, and the exclamations were over. \n\n'I am afraid there is no house large enough up here,' said her sister. \n\n'No, it is an unlucky time, in the thick of the season.' \n\n'Victoria said she had been looking at some houses in Bellevue.' \n\n'I am afraid she will have raised the prices of them.' \n\n'But, oh, Aunt Jane, we couldn't go to Bellevue Church!' cried Gillian. \n\n'Your mother would like to be so near the daily services at the Kennel,' said Miss Mohun. 'Yes, we must begin with those houses. There's nothing up here but Sorrento, and I have heard enough of its deficiencies!' \n\nAt that moment in came a basket of game, grapes, and flowers, with Lady Rotherwood's compliments. \n\n'Solid pudding,' muttered Miss Mohun. 'In this case, I should almost prefer empty praise. Look here, Ada, what a hamper they must have had from home! I think I shall, as I am going that way, take a pheasant and some grapes to the poor Queen of the White Ants; I believe she is really ill, and it will show that we do not want to neglect them.' \n\n'Oh, thank you, Aunt Jane!' cried Gillian, the colour rising in her face, and she was the willing bearer of the basket as she walked down the steps with her aunt, and along the esplanade, only pausing to review the notices of palatial, rural, and desirable villas in the house-agent's window, and to consider in what proportion their claims to perfection might be reduced. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1532\": \"What is Miss Mohun asked to do?\"\n },\n {\n \"1533\": \"For whom?\"\n },\n {\n \"1534\": \"Will housing be needed for only two people?\"\n },\n {\n \"1535\": \"Who else will need to be housed?\"\n },\n {\n \"1536\": \"Will this be easy to find?\"\n },\n {\n \"1537\": \"What method of communication is used for the housing request?\"\n },\n {\n \"1538\": \"Does the amount of housing available change with the time of year?\"\n },\n {\n \"1539\": \"What is the name of the closest house that may be available?\"\n },\n {\n \"1540\": \"Is it a nice house that will serve their needs well?\"\n },\n {\n \"1541\": \"What delivery is received, other than the telegram?\"\n },\n {\n \"1542\": \"Who sent it?\"\n },\n {\n \"1543\": \"What foods were in it?\"\n },\n {\n \"1544\": \"What specific game is in it?\"\n },\n {\n \"1545\": \"Will they keep it all to themselves?\"\n },\n {\n \"1546\": \"Why do they think it would be nice to share?\"\n },\n {\n \"1547\": \"With whom do they plan on sharing?\"\n },\n {\n \"1548\": \"What specific things do they plan to bring?\"\n },\n {\n \"1549\": \"Who carries the basket?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1532\",\n \"answer\": \"to go house-hunting\"\n },\n {\n \"question_id\": \"1533\",\n \"answer\": \"Sir Jasper and Lady Merrifield\"\n },\n {\n \"question_id\": \"1534\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1535\",\n \"answer\": \"their sons and daughters\"\n },\n {\n \"question_id\": \"1536\",\n \"answer\": \"not at all\"\n },\n {\n \"question_id\": \"1537\",\n \"answer\": \"by telegram\"\n },\n {\n \"question_id\": \"1538\",\n \"answer\": \"its seasonal\"\n },\n {\n \"question_id\": \"1539\",\n \"answer\": \"Sorrento\"\n },\n {\n \"question_id\": \"1540\",\n \"answer\": \"not really\"\n },\n {\n \"question_id\": \"1541\",\n \"answer\": \"a gift basket\"\n },\n {\n \"question_id\": \"1542\",\n \"answer\": \"the Lady Rotherwood\"\n },\n {\n \"question_id\": \"1543\",\n \"answer\": \"game, grapes, and flowers\"\n },\n {\n \"question_id\": \"1544\",\n \"answer\": \"pheasant\"\n },\n {\n \"question_id\": \"1545\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1546\",\n \"answer\": \"to show they care\"\n },\n {\n \"question_id\": \"1547\",\n \"answer\": \"the Queen of the White Ants\"\n },\n {\n \"question_id\": \"1548\",\n \"answer\": \"a pheasant and some grapes\"\n },\n {\n \"question_id\": \"1549\",\n \"answer\": \"Gillian does\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Boston (CNN)She knew something awful had happened. It was smoky and all she could hear were muffled screams. Her foot was turned sideways and her legs wouldn't work right. And her good friend, Krystle Campbell, was just lying there on the ground. \n\nKaren Rand -- she's Karen McWatters now -- dragged herself across the pavement. She wanted to get closer to Krystle so they could talk and take comfort from each other in the midst of so much chaos. \n\n\"I got close to her, \" she recalled. \"For some reason, I got close to her head and we put our faces together.\" \n\nKrystle said that her legs hurt. They were the last words she'd speak. The two women held hands until Krystle's went limp. \n\nMcWatters was the fifth witness of the first day of the terror trial of accused Boston Marathon bomber Dzhokhar Tsarnaev, who is accused of detonating pressure cooker bombs with his brother to punish the United States for policies they believe inflict suffering on Muslims. \n\nThree people were killed in the blasts: Campbell, a 29-year-old manager for a restaurant chain; Martin Richard, an 8-year-old boy; and Lingzi Lu, a 23-year-old grad student. \n\nMore than 250 others were injured. And the first day of the trial -- after opening statements -- revolved around a number of survivors of the attack, who recounted in detail the chaos of that day. Prosecutors called them to the stand to paint a picture of the havoc and pain the bombings inflicted. Tsarnaev's attorneys chose not to cross-examine any of the survivors. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99965\": \"What happened to Karen?\"\n },\n {\n \"99966\": \"Who was with her?\"\n },\n {\n \"99967\": \"Did she make it?\"\n },\n {\n \"99968\": \"Was Karen a witness in the trial?\"\n },\n {\n \"99969\": \"Against who?\"\n },\n {\n \"99970\": \"What is he accused of?\"\n },\n {\n \"99971\": \"Why?\"\n },\n {\n \"99972\": \"Was anyone else hurt?\"\n },\n {\n \"99973\": \"How many?\"\n },\n {\n \"99974\": \"Was anyone else killed?\"\n },\n {\n \"99975\": \"How many?\"\n },\n {\n \"99976\": \"Did any survivors also testify?\"\n },\n {\n \"99977\": \"Were any of them cross-examined?\"\n },\n {\n \"99978\": \"Has Karen gotten married?\"\n },\n {\n \"99979\": \"How many people testified before her?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99965\",\n \"answer\": \"Caught in the Boston Marathon Bombing.\"\n },\n {\n \"question_id\": \"99966\",\n \"answer\": \"Krystle Campbell\"\n },\n {\n \"question_id\": \"99967\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99968\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99969\",\n \"answer\": \"Dzhokhar Tsarnaev\"\n },\n {\n \"question_id\": \"99970\",\n \"answer\": \"detonating bombs\"\n },\n {\n \"question_id\": \"99971\",\n \"answer\": \"punish the United States\"\n },\n {\n \"question_id\": \"99972\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99973\",\n \"answer\": \"More than 250\"\n },\n {\n \"question_id\": \"99974\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99975\",\n \"answer\": \"2 others\"\n },\n {\n \"question_id\": \"99976\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99977\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99978\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99979\",\n \"answer\": \"Four\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER V \n\nTOM'S QUEER ACTIONS \n\nSam did not know what to say or what to do. He realized more fully than ever that his brother was not himself. He was growing wilder and more irrational every moment. \n\n\"Tom,\" he asked suddenly, \"have you got those pills with you that the doctor gave you to take?\" \n\n\"Sure,\" was the ready answer. \n\n\"Have you taken any lately?\" \n\n\"No. What's the use? They don't seem to help me.\" \n\n\"Let me see them, please.\" \n\n\"There they are.\" Tom brought the box from his pocket. \"They might as well be bread pills, or Gumley's red ones,\" and he grinned for a moment at the recollection of the trick played on William Philander Tubbs. \n\nSam took the box and looked at the directions carefully. \"It says to take one three times a day when needed,\" he said. \"You had better take one now, Tom. Come on.\" \n\n\"It won't do any good, Sam.\" \n\n\"Well, take one for me, that's a good fellow. Wait, I've got my pocket cup and I'll get some water.\" And he did so. \n\n\"Oh, dear, you're bound to feed me pills,\" sighed Tom, and made a wry face as he swallowed the one Sam handed him. Sam kept the box, making up his mind that he would play nurse after this. \n\n\"I guess we had better walk some more,\" said Tom, suddenly. \"I hate sitting still. If we had the old _Dartaway_ I'd take a sail from here to San Francisco, or some other far-off place.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86194\": \"Was Sam confused?\"\n },\n {\n \"86195\": \"Who did he think change a lot?\"\n },\n {\n \"86196\": \"In what way?\"\n },\n {\n \"86197\": \"What is his name?\"\n },\n {\n \"86198\": \"What Sam asked him about?\"\n },\n {\n \"86199\": \"Did he have them?\"\n },\n {\n \"86200\": \"Who was it meant for?\"\n },\n {\n \"86201\": \"Did he take any yet?\"\n },\n {\n \"86202\": \"Did he think they would help?\"\n },\n {\n \"86203\": \"Did Sam want to take a look at them?\"\n },\n {\n \"86204\": \"Where were they?\"\n },\n {\n \"86205\": \"How they resembled?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86194\",\n \"answer\": \"Yes,\"\n },\n {\n \"question_id\": \"86195\",\n \"answer\": \"His brother\"\n },\n {\n \"question_id\": \"86196\",\n \"answer\": \"He was wild and irrational.\"\n },\n {\n \"question_id\": \"86197\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"86198\",\n \"answer\": \"Whether he had the pills the doctor gave him.\"\n },\n {\n \"question_id\": \"86199\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86200\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"86201\",\n \"answer\": \"Not lately.\"\n },\n {\n \"question_id\": \"86202\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86203\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86204\",\n \"answer\": \"Tom's pocket.\"\n },\n {\n \"question_id\": \"86205\",\n \"answer\": \"They might as well be bread pills.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- More than 80 Michael Jackson collectibles -- including the late pop star's famous rhinestone-studded glove from a 1983 performance -- were auctioned off Saturday, reaping a total $2 million. \n\nProfits from the auction at the Hard Rock Cafe in New York's Times Square crushed pre-sale expectations of only $120,000 in sales. \n\nThe highly prized memorabilia, which included items spanning the many stages of Jackson's career, came from more than 30 fans, associates and family members, who contacted Julien's Auctions to sell their gifts and mementos of the singer. \n\nJackson's flashy glove was the big-ticket item of the night, fetching $420,000 from a buyer in Hong Kong, China. Jackson wore the glove at a 1983 performance during \"Motown 25,\" an NBC special where he debuted his revolutionary moonwalk. \n\nFellow Motown star Walter \"Clyde\" Orange of the Commodores, who also performed in the special 26 years ago, said he asked for Jackson's autograph at the time, but Jackson gave him the glove instead. \n\n\"The legacy that [Jackson] left behind is bigger than life for me,\" Orange said. \"I hope that through that glove people can see what he was trying to say in his music and what he said in his music.\" \n\nOrange said he plans to give a portion of the proceeds to charity. \n\nHoffman Ma, who bought the glove on behalf of Ponte 16 Resort in Macau, paid a 25 percent buyer's premium, which was tacked onto all final sales over $50,000. Winners of items less than $50,000 paid a 20 percent premium. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88240\": \"Where did the sale take place?\"\n },\n {\n \"88241\": \"when?\"\n },\n {\n \"88242\": \"What kinds of things were sold?\"\n },\n {\n \"88243\": \"how many?\"\n },\n {\n \"88244\": \"how much money was made?\"\n },\n {\n \"88245\": \"what had they expected to make?\"\n },\n {\n \"88246\": \"where did the items come from?\"\n },\n {\n \"88247\": \"Did they sell them?\"\n },\n {\n \"88248\": \"Did they sell them to the auctioneer?\"\n },\n {\n \"88249\": \"who was it?\"\n },\n {\n \"88250\": \"which item was the most valuable?\"\n },\n {\n \"88251\": \"for how much?\"\n },\n {\n \"88252\": \"who bought it?\"\n },\n {\n \"88253\": \"Why was the glove significant?\"\n },\n {\n \"88254\": \"What else was special about that performance?\"\n },\n {\n \"88255\": \"Who else was a performer that night?\"\n },\n {\n \"88256\": \"Did he get Michael Jackson's autograph?\"\n },\n {\n \"88257\": \"why?\"\n },\n {\n \"88258\": \"What will Orange do with money from selling it?\"\n },\n {\n \"88259\": \"What does he say of Jackson?\"\n },\n {\n \"88260\": \"Does he want everyone to get a message from it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88240\",\n \"answer\": \"The Hard Rock Cafe in New York's Times Square\"\n },\n {\n \"question_id\": \"88241\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"88242\",\n \"answer\": \"Michael Jackson collectibles.\"\n },\n {\n \"question_id\": \"88243\",\n \"answer\": \"More than 80.\"\n },\n {\n \"question_id\": \"88244\",\n \"answer\": \"$2 million.\"\n },\n {\n \"question_id\": \"88245\",\n \"answer\": \"$120,000\"\n },\n {\n \"question_id\": \"88246\",\n \"answer\": \"Fans, associates and family members\"\n },\n {\n \"question_id\": \"88247\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"88248\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"88249\",\n \"answer\": \"Julien's Auctions\"\n },\n {\n \"question_id\": \"88250\",\n \"answer\": \"Jackson's glove.\"\n },\n {\n \"question_id\": \"88251\",\n \"answer\": \"$420,000\"\n },\n {\n \"question_id\": \"88252\",\n \"answer\": \"A buyer in Hong Kong, China.\"\n },\n {\n \"question_id\": \"88253\",\n \"answer\": \"Jackson wore the glove during \\\"Motown 25.\\\"\"\n },\n {\n \"question_id\": \"88254\",\n \"answer\": \"He debuted his moonwalk.\"\n },\n {\n \"question_id\": \"88255\",\n \"answer\": \"Walter \\\"Clyde\\\" Orange\"\n },\n {\n \"question_id\": \"88256\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"88257\",\n \"answer\": \"Jackson gave him the glove instead.\"\n },\n {\n \"question_id\": \"88258\",\n \"answer\": \"Give a portion to charity.\"\n },\n {\n \"question_id\": \"88259\",\n \"answer\": \"That Jackson's legacy is bigger than life for him.\"\n },\n {\n \"question_id\": \"88260\",\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 There was once a beautiful nymph called Echo. But Echo had one failing; she was fond of talking, and whether in chat or argument, would have the last word. As she was good company, she and Zeus became good friends. However, Zeus' wife, Hera, became jealous. She followed Zeus to the earth to find out what he was doing and Zeus asked Echo to distract Hera until he could escape. Later when Hera discovered she had been tricked, she became very angry. She turned on Echo and said, \"You shall lose the use of your tongue because you cheated me. You'll have the last word, bur no longer have the power to speak first.\" So from that moment on, Beautiful Echo was hardly able to hold a conversation because she could only repeat the last words of those around her. She became very embarrassed and hid herself deep in the woods. \n\nOne day a handsome young man called Narcissus came into the woods. He had been hunting deer and lost his way. However, the moment Echo saw him, she fell in love with him. She followed him, wishing to tell him but unable to begin a conversation. Oh, how she wished she could speak first. Unfortunately, Narcissus was far too busy worrying about where his companions might be and how he could find his way home. \n\nEventually Narcissus, with Echo following behind along, came to a pool of water in the middle of the woods. Feeling thirsty, Narcissus bent down to drink. As he did so, he saw a beautiful creature in the water staring up at him. He immediately bent over and said to him, \"I love you!\" Echo, nearby, and seeing her chance, immediately responded \".... I love you!\" But it was too late. Narcissus was already in love, with himself. \n\nThe stranger seemed to rise up closer to Narcissus who was so involved that he entirely failed to notice Echo. \"I want to stay and look at this beautiful sight forever,\" he whispered dreamily to himself.\"... Forever,\" repeated Echo sadly. \"Come here,\" called Narcissus to his reflection as he moved his head and the creature seemed to move away. \"...Here.\" responded Echo. Narcissus bent back down to see his reflection more clearly. \"So beautiful! I've never seen anything so beautiful!\" \"....So beautiful!\" responded Echo truthfully. \n\nNarcissus remained by the water refusing all Echo's silent offers of food and drink until he died. Where he had been, a flower grew in his place, as beautiful as Narcissus himself. As for Echo, from that time forward, she also didn't eat or drink till she turned to rocks and all that was left was her voice. Even now you can still hear Echo trying to attract Narcissus' attention by repeating his words and still see Narcissus as a beautiful flower growing near a pool.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73529\": \"what was Echo?\"\n },\n {\n \"73530\": \"what is her fault?\"\n },\n {\n \"73531\": \"who did she become friends with?\"\n },\n {\n \"73532\": \"Did his wife like that?\"\n },\n {\n \"73533\": \"how did she feel?\"\n },\n {\n \"73534\": \"what;s her name?\"\n },\n {\n \"73535\": \"how did Echo trick Her?\"\n },\n {\n \"73536\": \"could she hold a conversation?\"\n },\n {\n \"73537\": \"what could she say?\"\n },\n {\n \"73538\": \"where did she hide?\"\n },\n {\n \"73539\": \"who came into the woods?\"\n },\n {\n \"73540\": \"what had he been doing?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73529\",\n \"answer\": \"a beautiful nymph\"\n },\n {\n \"question_id\": \"73530\",\n \"answer\": \"talking\"\n },\n {\n \"question_id\": \"73531\",\n \"answer\": \"Zeus\"\n },\n {\n \"question_id\": \"73532\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73533\",\n \"answer\": \"jealous.\"\n },\n {\n \"question_id\": \"73534\",\n \"answer\": \"Hera\"\n },\n {\n \"question_id\": \"73535\",\n \"answer\": \"distracted her\"\n },\n {\n \"question_id\": \"73536\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73537\",\n \"answer\": \"she could only repeat the last words of those around her.\"\n },\n {\n \"question_id\": \"73538\",\n \"answer\": \"deep in the woods.\"\n },\n {\n \"question_id\": \"73539\",\n \"answer\": \"Narcissus\"\n },\n {\n \"question_id\": \"73540\",\n \"answer\": \"hunting deer\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. AN INTERLUDE \n\nIt was close on midnight now, and still they sat opposite one another, he the friend and she the wife, talking over that brief half-hour that had meant an eternity to her. \n\nMarguerite had tried to tell Sir Andrew everything; bitter as it was to put into actual words the pathos and misery which she had witnessed, yet she would hide nothing from the devoted comrade whom she knew Percy would trust absolutely. To him she repeated every word that Percy had uttered, described every inflection of his voice, those enigmatical phrases which she had not understood, and together they cheated one another into the belief that hope lingered somewhere hidden in those words. \n\n\"I am not going to despair, Lady Blakeney,\" said Sir Andrew firmly; \"and, moreover, we are not going to disobey. I would stake my life that even now Blakeney has some scheme in his mind which is embodied in the various letters which he has given you, and which--Heaven help us in that case!--we might thwart by disobedience. Tomorrow in the late afternoon I will escort you to the Rue de Charonne. It is a house that we all know well, and which Armand, of course, knows too. I had already inquired there two days ago to ascertain whether by chance St. Just was not in hiding there, but Lucas, the landlord and old-clothes dealer, knew nothing about him.\" \n\nMarguerite told him about her swift vision of Armand in the dark corridor of the house of Justice. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44575\": \"What time was it now?\"\n },\n {\n \"44576\": \"did they still sit opposite each other?\"\n },\n {\n \"44577\": \"how long did they talk?\"\n },\n {\n \"44578\": \"was she the friend?\"\n },\n {\n \"44579\": \"who did Percy trust completely?\"\n },\n {\n \"44580\": \"did she try telling everything to andrew?\"\n },\n {\n \"44581\": \"whose words did you repeat?\"\n },\n {\n \"44582\": \"did percy use enigmatical phrases?\"\n },\n {\n \"44583\": \"who did sir andrew escort to Rue de Charonne?\"\n },\n {\n \"44584\": \"did andrew despair?\"\n },\n {\n \"44585\": \"did he say they would obey?\"\n },\n {\n \"44586\": \"who else knew about the house?\"\n },\n {\n \"44587\": \"how long ago did andrew ask if St.Just was hiding at Charonne?\"\n },\n {\n \"44588\": \"did he ask lucas about him?\"\n },\n {\n \"44589\": \"who had a vision?\"\n },\n {\n \"44590\": \"who did she have a vision about?\"\n },\n {\n \"44591\": \"was he in the corridor?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44575\",\n \"answer\": \"close to midnight\"\n },\n {\n \"question_id\": \"44576\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44577\",\n \"answer\": \"a half-hour\"\n },\n {\n \"question_id\": \"44578\",\n \"answer\": \"no ,he was\"\n },\n {\n \"question_id\": \"44579\",\n \"answer\": \"Sir Andrew\"\n },\n {\n \"question_id\": \"44580\",\n \"answer\": \"definitely\"\n },\n {\n \"question_id\": \"44581\",\n \"answer\": \"Percy's\"\n },\n {\n \"question_id\": \"44582\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44583\",\n \"answer\": \"Lady Blakeney\"\n },\n {\n \"question_id\": \"44584\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44585\",\n \"answer\": \"in the double negative, yes\"\n },\n {\n \"question_id\": \"44586\",\n \"answer\": \"everyone\"\n },\n {\n \"question_id\": \"44587\",\n \"answer\": \"two days ago\"\n },\n {\n \"question_id\": \"44588\",\n \"answer\": \"he did\"\n },\n {\n \"question_id\": \"44589\",\n \"answer\": \"Marguerite\"\n },\n {\n \"question_id\": \"44590\",\n \"answer\": \"of Armand\"\n },\n {\n \"question_id\": \"44591\",\n \"answer\": \"indeed\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- The Palestinian maker of a film nominated for an Oscar was briefly detained by U.S. officials who questioned the validity of his Academy Awards invitation as he and his family arrived in Los Angeles for this weekend's event, his publicist told CNN on Wednesday. \n\nThe brief detention of Emad Burnat, a West Bank farmer who spent five years making his \"5 Broken Cameras\" home video in his village of Bil'in, was quickly criticized by fellow documentary filmmaker Michael Moore, whom Burnat had contacted for help while being questioned at Los Angeles International Airport. \n\nU.S. authorities also placed Burnat's wife and 8-year-old son, Gibreel, in a holding area at the airport Tuesday night, Moore said on his Twitter account. \n\n\"Apparently the Immigration & Customs officers couldn't understand how a Palestinian could be an Oscar nominee. Emad texted me for help,\" Moore tweeted. \"After 1.5 hrs, they decided to release him & his family & told him he could stay in LA for the week & go to the Oscars. Welcome to America.\" \n\n2013 Oscars: Get to know the best actor nominees \n\nJulia Pacetti, Burnat's publicist, told CNN that Burnat e-mailed her and Moore about how \"immigration authorities were telling him he needed to give them a reason for his visit. \n\n\"He asked me to send his invitation to the Oscars. But before I did, immigration authorities released him. It was a short-lived situation,\" Pacetti said. \n\nBurnat told Moore that \"It's nothing I'm not already used to\" and \"When u live under occupation, with no rights, this is a daily occurrence,\" Moore wrote on his Twitter account. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83415\": \"Where was the film maker from?\"\n },\n {\n \"83416\": \"Why was he coming to the United States?\"\n },\n {\n \"83417\": \"Was he stopped on his way into the country?\"\n },\n {\n \"83418\": \"What for?\"\n },\n {\n \"83419\": \"Where was he stopped?\"\n },\n {\n \"83420\": \"Was he alone?\"\n },\n {\n \"83421\": \"Who was with him?\"\n },\n {\n \"83422\": \"How old is his son?\"\n },\n {\n \"83423\": \"What is his profession back in his country?\"\n },\n {\n \"83424\": \"How long did he spend creating his movie?\"\n },\n {\n \"83425\": \"How long was he held for?\"\n },\n {\n \"83426\": \"How long are they allowed to vacation for?\"\n },\n {\n \"83427\": \"What year did this happen?\"\n },\n {\n \"83428\": \"Who was his public assistant?\"\n },\n {\n \"83429\": \"How did the banker communicate with her?\"\n },\n {\n \"83430\": \"Is the banker accustomed to that sort of treatment from his homeland?\"\n },\n {\n \"83431\": \"What social media platform did he use?\"\n },\n {\n \"83432\": \"Any others?\"\n },\n {\n \"83433\": \"What other one?\"\n },\n {\n \"83434\": \"What was his sons name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83415\",\n \"answer\": \"Palestine\"\n },\n {\n \"question_id\": \"83416\",\n \"answer\": \"For the Academy Awards\"\n },\n {\n \"question_id\": \"83417\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83418\",\n \"answer\": \"Because they didn't believe he had a reason to be there\"\n },\n {\n \"question_id\": \"83419\",\n \"answer\": \"Los Angeles International Airport\"\n },\n {\n \"question_id\": \"83420\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"83421\",\n \"answer\": \"his wife and son\"\n },\n {\n \"question_id\": \"83422\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"83423\",\n \"answer\": \"he's a farmer\"\n },\n {\n \"question_id\": \"83424\",\n \"answer\": \"five years\"\n },\n {\n \"question_id\": \"83425\",\n \"answer\": \"An hour and a half\"\n },\n {\n \"question_id\": \"83426\",\n \"answer\": \"a week\"\n },\n {\n \"question_id\": \"83427\",\n \"answer\": \"in 2013\"\n },\n {\n \"question_id\": \"83428\",\n \"answer\": \"Julia Pacetti\"\n },\n {\n \"question_id\": \"83429\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"83430\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"83431\",\n \"answer\": \"e-mail\"\n },\n {\n \"question_id\": \"83432\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83433\",\n \"answer\": \"texting\"\n },\n {\n \"question_id\": \"83434\",\n \"answer\": \"Gibreel\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Kanye's \"Fantasy\" conquered reality; the Black Keys locked into a groove; Arcade Fire burned down the suburbs. \n\n(Rolling Stone) -- 5. Jamey Johnson, \"The Guitar Song\" 1: What does Jamey Johnson keep under all of that hair? Songs. Nashville's gruffest and grittiest star turns out to be its most reliable traditionalist, a Music Row pro who can write a song for every emotional season. Johnson pulled out a whole slew of them -- 25, clocking in north of 105 minutes -- for his double-disc fourth album: acoustic confessions and rugged boogie blues, big weepers and grim reapers, cover tunes and novelty ditties, not to mention \"California Riots\" and \"Playing the Part,\" a pair of fiercely funny, unrepentantly redneck swipes at the frou-frou blue states. \n\n4. Arcade Fire, \"The Suburbs\" Arcade Fire don't do anything small -- so leave it to the Montreal collective to make an album of vast, orchestral rock that locates the battle for the human soul amid big houses and manicured lawns. \n\n\"The Suburbs\" is the band's most adventurous album yet: See the psychotic speed strings on \"Empty Room,\" the Crazy Horse rush of \"Month of May,\" the synth-pop disco of \"Sprawl II (Mountains Beyond Mountains).\" Win Butler and his wife, Régine Chassagne, sing about suburban boredom, fear of change and wanting to have a kid of their own -- always scaling their intimate confessions to arena-rock levels and finding beauty wherever they look. \n\n3. Elton John and Leon Russell, \"The Union\" Two rock giants, one largely forgotten, rekindle a friendship and make music that ranks with their best. Producer T Bone Burnett delivers his most spectacular production in memory, filled with shining steel guitar, chortling brass and gospel-time choirs. Ultimately, it's Russell's voice that shines brightest, drawing on the entire history of American popular music in its canny, vulnerable, knowing croon. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14191\": \"What does Jamey Johnson keep under all of that hair?\"\n },\n {\n \"14192\": \"Jamey Johnson is from ?\"\n },\n {\n \"14193\": \"who delivers his most spectacular production ?\"\n },\n {\n \"14194\": \"who is the artist for the song California Riots ?\"\n },\n {\n \"14195\": \"who is Win Butler married to ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14191\",\n \"answer\": \"Songs\"\n },\n {\n \"question_id\": \"14192\",\n \"answer\": \"Nashville\"\n },\n {\n \"question_id\": \"14193\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"14194\",\n \"answer\": \"Johnson\"\n },\n {\n \"question_id\": \"14195\",\n \"answer\": \"R\\u00e9gine Chassagne\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United States Census of 1880 conducted by the Census Bureau during June 1880 was the tenth United States Census. It was the first time that women were permitted to be . The Superintendent of the Census was Francis Amasa Walker. \n\nFive schedules were authorized by the 1880 Census Act, four of which were filled out byent of certain members of the population. Experts and special agents also were employed to collect data on valuation, taxation, and indebtedness; religion and libraries; colleges, academies, and schools; newspapers and periodicals, and wages. \n\nSpecial agents were also charged with collecting data on specific industries throughout the country, and included the manufactures of iron and steel; cotton, woolen, and worsted goods; silk and silk goods; chemical products and salt; coke and glass; shipbuilding; and all aspects of fisheries and mining, including the production of coal and petroleum. \n\nFull documentation for the 1880 population census, including census forms and enumerator instructions, is available from the Integrated Public Use Microdata Series, which contains microdata. \n\nThe original census enumeration sheets were microfilmed by the Census Bureau; after which the original sheets were transferred to various state archives, libraries, or universities. The microfilmed census is available in rolls from the National Archives and Records Administration. Several organizations also host images of the microfilmed census online, along which digital indices.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37308\": \"what was the tenth United Census\"\n },\n {\n \"37309\": \"who was charged with collecting data\"\n },\n {\n \"37310\": \"is it avalable from the Intigrateed Public Use Microdata Series\"\n },\n {\n \"37311\": \"where the originale census microfilmed\"\n },\n {\n \"37312\": \"what is available from National Archives\"\n },\n {\n \"37313\": \"what number was conducted in 1880\"\n },\n {\n \"37314\": \"was coke part of data collected\"\n },\n {\n \"37315\": \"can you find images of the microfilm online\"\n },\n {\n \"37316\": \"who was the Superintendent of the census\"\n },\n {\n \"37317\": \"what year\"\n },\n {\n \"37318\": \"is there full diocumentation\"\n },\n {\n \"37319\": \"was coal and patrolem data collected\"\n },\n {\n \"37320\": \"what about salt\"\n },\n {\n \"37321\": \"ship building?\"\n },\n {\n \"37322\": \"what is in records administration\"\n },\n {\n \"37323\": \"were women permitted before 1880\"\n },\n {\n \"37324\": \"what did special agents do\"\n },\n {\n \"37325\": \"was this census done in europe\"\n },\n {\n \"37326\": \"were these concidered experts\"\n },\n {\n \"37327\": \"did they collect data in schools\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37308\",\n \"answer\": \"The United States Census of 1880\"\n },\n {\n \"question_id\": \"37309\",\n \"answer\": \"Special agents\"\n },\n {\n \"question_id\": \"37310\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37311\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37312\",\n \"answer\": \"Rolls\"\n },\n {\n \"question_id\": \"37313\",\n \"answer\": \"tenth\"\n },\n {\n \"question_id\": \"37314\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37315\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37316\",\n \"answer\": \"Francis Amasa Walker\"\n },\n {\n \"question_id\": \"37317\",\n \"answer\": \"1880\"\n },\n {\n \"question_id\": \"37318\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37319\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37320\",\n \"answer\": \"Salt as well\"\n },\n {\n \"question_id\": \"37321\",\n \"answer\": \"Shipbuilding also\"\n },\n {\n \"question_id\": \"37322\",\n \"answer\": \"The microfilmed census\"\n },\n {\n \"question_id\": \"37323\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37324\",\n \"answer\": \"Collected data on specific industries\"\n },\n {\n \"question_id\": \"37325\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37326\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37327\",\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. \n\nA BOLD ATTEMPT. \n\nDuring the next ten or eleven months poor Mrs. Trevennack had but one abiding terror--that a sudden access of irrepressible insanity might attack her husband before Cleer and Eustace could manage to get married. Trevennack, however, with unvarying tenderness, did his best in every way to calm her fears. Though no word on the subject passed between them directly, he let her feel with singular tact that he meant to keep himself under proper control. Whenever a dangerous topic cropped up in conversation, he would look across at her affectionately, with a reassuring smile. \"For Cleer's sake,\" he murmured often, if she was close by his side; \"for Cleer's sake, dearest!\" and his wife, mutely grateful, knew at once what he meant, and smiled approval sadly. \n\nHer heart was very full; her part was a hard one to play with fitting cheerfulness; but in his very madness itself she couldn't help loving, admiring, and respecting that strong, grave husband who fought so hard against his own profound convictions. \n\nTen months passed away, however, and Eustace Le Neve didn't seem to get much nearer any permanent appointment than ever. He began to tire at last of applying unsuccessfully for every passing vacancy. Now and then he got odd jobs, to be sure; but odd jobs won't do for a man to marry upon; and serious work seemed always to elude him. Walter Tyrrel did his best, no doubt, to hunt up all the directors of all the companies he knew; but no posts fell vacant on any line they were connected with. It grieved Walter to the heart, for he had always had the sincerest friendship for Eustace Le Neve; and now that Eustace was going to marry Cleer Trevennack, Walter felt himself doubly bound in honor to assist him. It was HE who had ruined the Trevennacks' hopes in life by his unintentional injury to their only son; the least he could do in return, he thought, and felt, was to make things as easy as possible for their daughter and her intended husband. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7083\": \"who was afraid of something?\"\n },\n {\n \"7084\": \"how long had she been worrying?\"\n },\n {\n \"7085\": \"about what?\"\n },\n {\n \"7086\": \"before what event?\"\n },\n {\n \"7087\": \"who tried to make her feel better?\"\n },\n {\n \"7088\": \"how?\"\n },\n {\n \"7089\": \"what would he say?\"\n },\n {\n \"7090\": \"what happened at the end of 10 months?\"\n },\n {\n \"7091\": \"how often did he find work?\"\n },\n {\n \"7092\": \"was that good enough?\"\n },\n {\n \"7093\": \"what wasn't it good enough for?\"\n },\n {\n \"7094\": \"who tried to help him find work?\"\n },\n {\n \"7095\": \"what did he do?\"\n },\n {\n \"7096\": \"why was he trying to help him?\"\n },\n {\n \"7097\": \"how?\"\n },\n {\n \"7098\": \"how could he make it up to them?\"\n },\n {\n \"7099\": \"did any of his connections come through for him?\"\n },\n {\n \"7100\": \"who did he have a close friendship with?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7083\",\n \"answer\": \"Mrs. Trevennack\"\n },\n {\n \"question_id\": \"7084\",\n \"answer\": \"ten or eleven months\"\n },\n {\n \"question_id\": \"7085\",\n \"answer\": \"that a sudden access of irrepressible insanity might attack her husband\"\n },\n {\n \"question_id\": \"7086\",\n \"answer\": \"before Cleer and Eustace could manage to get married.\"\n },\n {\n \"question_id\": \"7087\",\n \"answer\": \"Trevennack\"\n },\n {\n \"question_id\": \"7088\",\n \"answer\": \"he would look across at her affectionately, with a reassuring smile.\"\n },\n {\n \"question_id\": \"7089\",\n \"answer\": \"\\\"For Cleer's sake,\\\"\"\n },\n {\n \"question_id\": \"7090\",\n \"answer\": \"Eustace Le Neve didn't seem to get much nearer any permanent appointment\"\n },\n {\n \"question_id\": \"7091\",\n \"answer\": \"Now and then he got odd jobs\"\n },\n {\n \"question_id\": \"7092\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7093\",\n \"answer\": \"for a man to marry upon\"\n },\n {\n \"question_id\": \"7094\",\n \"answer\": \"Walter Tyrrel\"\n },\n {\n \"question_id\": \"7095\",\n \"answer\": \"did his best to hunt up all the directors of all the companies he knew\"\n },\n {\n \"question_id\": \"7096\",\n \"answer\": \"Because he had ruined the Trevennacks' hopes in life\"\n },\n {\n \"question_id\": \"7097\",\n \"answer\": \"by his unintentional injury to their only son\"\n },\n {\n \"question_id\": \"7098\",\n \"answer\": \"make things as easy as possible for their daughter and her intended husband.\"\n },\n {\n \"question_id\": \"7099\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7100\",\n \"answer\": \"Eustace Le Neve\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXXV. THE ITALIAN PEDLAR \n\n\n\nThis caitiff monk for gold did swear, That by his drugs my rival fair A saint in heaven should be.--SCOTT \n\nA grand cavalcade bore the house of Quinet from Montauban--coaches, wagons, outriders, gendarmes--it was a perfect court progress, and so low and cumbrous that it was a whole week in reaching a grand old castle standing on a hill-side among chestnut woods, with an avenue a mile long leading up to it; and battlemented towers fit to stand a siege. \n\nEustacie was ranked among the Duchess's gentlewomen. She was so far acknowledged as a lady of birth, that she was usually called Madame Esperance; and though no one was supposed to doubt her being Theodore Gardon's widow, she was regarded as being a person of rank who had made a misalliance by marrying him. This Madame de Quinet had allowed the household to infer, thinking that the whole bearing of her guest was too unlike that of a Paris _bourgeoise_ not to excite suspicion, but she deemed it wiser to refrain from treating her with either intimacy or distinction that might excite jealousy or suspicion. Even as it was, the consciousness of a secret, or the remnants of Montauban gossip, prevented any familiarity between Eustacie and the good ladies who surrounded her; they were very civil to each other, but their only connecting link was the delight that every one took in petting pretty little Rayonette, and the wonder that was made of her signs of intelligence and attempts at talking. Even when she toddled fearlessly up to the stately Duchess on her canopied throne, and held out her entreating hands, and lisped the word '_nontre_,' Madame would pause in her avocations, take her on her knee, and display that wonderful gold and enamel creature which cried tic-tic, and still remained an unapproachable mystery to M. le Marquis and M. le Vicomte, her grandsons. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22963\": \"Who is quoted?\"\n },\n {\n \"22964\": \"Was something lisped?\"\n },\n {\n \"22965\": \"What?\"\n },\n {\n \"22966\": \"What came to the house?\"\n },\n {\n \"22967\": \"Where were they going?\"\n },\n {\n \"22968\": \"Where was they from?\"\n },\n {\n \"22969\": \"How long was the journey?\"\n },\n {\n \"22970\": \"Was it an easy journey?\"\n },\n {\n \"22971\": \"Who's husband died?\"\n },\n {\n \"22972\": \"Who died?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22963\",\n \"answer\": \"SCOTT\"\n },\n {\n \"question_id\": \"22964\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22965\",\n \"answer\": \"nontre\"\n },\n {\n \"question_id\": \"22966\",\n \"answer\": \"coaches, wagons, outriders, gendarmes\"\n },\n {\n \"question_id\": \"22967\",\n \"answer\": \"a grand old castle standing on a hill-side\"\n },\n {\n \"question_id\": \"22968\",\n \"answer\": \"Montauban\"\n },\n {\n \"question_id\": \"22969\",\n \"answer\": \"a whole week\"\n },\n {\n \"question_id\": \"22970\",\n \"answer\": \"Yes but the group was awkward to travel\"\n },\n {\n \"question_id\": \"22971\",\n \"answer\": \"Madame Esperance\"\n },\n {\n \"question_id\": \"22972\",\n \"answer\": \"Theodore Gardon\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)The fiancée of former New England Patriots star Aaron Hernandez has been granted immunity, compelling her to testify at his murder trial, according to a decision released by the trial judge on Tuesday. \n\nIn early January, the fiancée, Shayanna Jenkins, met with Bristol County, Massachusetts, prosecutors in what court documents call an immunity meeting, but the results of that meeting are secret, even from the Hernandez defense team. \n\n\"It allows the prosecutor to force her to testify in front of the jury without taking the Fifth\" (Amendment against self incrimination), CNN legal analyst Paul Callan said of the order. \"If she lies, she can still be prosecuted for perjury because a grant of immunity never (immunizes) someone against committing perjury on the witness stand.\" \n\nHernandez, the former tight end who once had a $40 million contract, has pleaded not guilty to orchestrating the death of Odin Lloyd. He has also pleaded not guilty to weapons charges. \n\nHis co-defendants, Ernest Wallace and Carlos Ortiz, have also pleaded not guilty and will be tried separately. \n\nJenkins has been a regular at hearings for Hernandez. He has often been seen mouthing \"I love you\" to her. \n\nJenkins is on the prosecution's witness list. It is not known whether her testimony will help or hurt Hernandez. \n\n\"Normally, a fiancée is not going to testify adversely against her true love,\" said Callan, a former New York homicide prosecutor. But there is no privilege in Massachusetts allowing engaged couples to avoid testifying against one another. \n\nProsecutors suspect Jenkins of following instructions from Hernandez to get rid of the murder weapon from their home by removing the gun inside a box, putting it in a black trash bag, and borrowing her sister's car to take the bag to a dumpster and throw it away. According to court documents, she doesn't remember where. Her sister was the girlfriend of the victim and has already testified against Hernandez. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30499\": \"Who is the fiancee?\"\n },\n {\n \"30500\": \"Who is she engaged to?\"\n },\n {\n \"30501\": \"Which team was he on?\"\n },\n {\n \"30502\": \"What position?\"\n },\n {\n \"30503\": \"How much was his contract?\"\n },\n {\n \"30504\": \"How did he plea?\"\n },\n {\n \"30505\": \"Who was charged along with him?\"\n },\n {\n \"30506\": \"What was their plea?\"\n },\n {\n \"30507\": \"Will they stand trial together?\"\n },\n {\n \"30508\": \"Who was murdered?\"\n },\n {\n \"30509\": \"Who did his girlfriend meet?\"\n },\n {\n \"30510\": \"When?\"\n },\n {\n \"30511\": \"Was the meeting publicized?\"\n },\n {\n \"30512\": \"Did the defendent's attorney know what happened there?\"\n },\n {\n \"30513\": \"If she is not honest with what will she be charged?\"\n },\n {\n \"30514\": \"Who made the statement about perjury?\"\n },\n {\n \"30515\": \"What did he do previously?\"\n },\n {\n \"30516\": \"How did she allegedly help her fiance?\"\n },\n {\n \"30517\": \"Where did she dump the gun?\"\n },\n {\n \"30518\": \"Who did her sister date?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"30499\",\n \"answer\": \"Shayanna Jenkins\"\n },\n {\n \"question_id\": \"30500\",\n \"answer\": \"Aaron Hernandez\"\n },\n {\n \"question_id\": \"30501\",\n \"answer\": \"the New England Patriots\"\n },\n {\n \"question_id\": \"30502\",\n \"answer\": \"tight end\"\n },\n {\n \"question_id\": \"30503\",\n \"answer\": \"$40 million\"\n },\n {\n \"question_id\": \"30504\",\n \"answer\": \"not guilty\"\n },\n {\n \"question_id\": \"30505\",\n \"answer\": \"Ernest Wallace and Carlos Ortiz\"\n },\n {\n \"question_id\": \"30506\",\n \"answer\": \"not guilty\"\n },\n {\n \"question_id\": \"30507\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"30508\",\n \"answer\": \"Odin Lloyd\"\n },\n {\n \"question_id\": \"30509\",\n \"answer\": \"Bristol County, Massachusetts, prosecutors\"\n },\n {\n \"question_id\": \"30510\",\n \"answer\": \"In early January\"\n },\n {\n \"question_id\": \"30511\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"30512\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"30513\",\n \"answer\": \"perjury\"\n },\n {\n \"question_id\": \"30514\",\n \"answer\": \"CNN legal analyst Paul Callan\"\n },\n {\n \"question_id\": \"30515\",\n \"answer\": \"he was a New York homicide prosecutor\"\n },\n {\n \"question_id\": \"30516\",\n \"answer\": \"by getting rid of the murder weapon\"\n },\n {\n \"question_id\": \"30517\",\n \"answer\": \"a dumpster\"\n },\n {\n \"question_id\": \"30518\",\n \"answer\": \"the victim\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nPEGGY HAS REVENGE. \n\nJoe Wegg made a rapid recovery, his strength returning under the influence of pleasant surroundings and frequent visits from Ethel and Uncle John's three nieces. Not a word was hinted to either the invalid or the school teacher regarding the inquiries Mr. Merrick was making about the deed to the Bogue timber lands, which, if found, would make the young couple independent. Joe was planning to exploit a new patent as soon as he could earn enough to get it introduced, and Ethel exhibited a sublime confidence in the boy's ability that rendered all question of money insignificant. \n\nJoe's sudden appearance in the land of his birth and his generally smashed up condition were a nine days' wonder in Millville. The gossips wanted to know all the whys and wherefores, but the boy kept his room in the hotel, or only walked out when accompanied by Ethel or one of the three nieces. Sometimes they took him to ride, as he grew better, and the fact that Joe \"were hand an' glove wi' the nabobs\" lent him a distinction he had never before possessed. \n\nMcNutt, always busy over somebody else's affairs, was very curious to know what had caused the accident Joe had suffered. Notwithstanding the little affair of the letter, in which he had not appeared with especial credit, Peggy made an effort to interview the young man that resulted in his complete discomfiture. But that did not deter him from indulging in various vivid speculations about Joe Wegg, which the simple villagers listened to with attention. For one thing, he confided to \"the boys\" at the store that, in his opinion, the man who had murdered Cap'n Wegg had tried to murder his son also, and it wasn't likely Joe could manage to escape him a second time. Another tale evolved from Peggy's fertile imagination was that Joe, being about to starve to death in the city, had turned burglar and been shot in the arm in an attempt at housebreaking. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85441\": \"Who felt better quickly?\"\n },\n {\n \"85442\": \"What helped?\"\n },\n {\n \"85443\": \"What did he want to do?\"\n },\n {\n \"85444\": \"Why?\"\n },\n {\n \"85445\": \"Who thought he could do it?\"\n },\n {\n \"85446\": \"Where did he go?\"\n },\n {\n \"85447\": \"What did he do?\"\n },\n {\n \"85448\": \"What else?\"\n },\n {\n \"85449\": \"What did he do when he was stronger?\"\n },\n {\n \"85450\": \"What did that give him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85441\",\n \"answer\": \"Joe Wegg\"\n },\n {\n \"question_id\": \"85442\",\n \"answer\": \"pleasant surroundings and frequent visits\"\n },\n {\n \"question_id\": \"85443\",\n \"answer\": \"exploit a new patent\"\n },\n {\n \"question_id\": \"85444\",\n \"answer\": \"make the young couple independent\"\n },\n {\n \"question_id\": \"85445\",\n \"answer\": \"Ethel\"\n },\n {\n \"question_id\": \"85446\",\n \"answer\": \"Millville\"\n },\n {\n \"question_id\": \"85447\",\n \"answer\": \"kept to his room\"\n },\n {\n \"question_id\": \"85448\",\n \"answer\": \"walked out when accompanied\"\n },\n {\n \"question_id\": \"85449\",\n \"answer\": \"rode\"\n },\n {\n \"question_id\": \"85450\",\n \"answer\": \"a distinction\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXXVI. \n\nTOM TRINGLE GETS AN ANSWER. \n\nFaddle as he went down into the country made up his mind that the law which required such letters to be delivered by hand was an absurd law. The post would have done just as well, and would have saved a great deal of trouble. These gloomy thoughts were occasioned by a conviction that he could not carry himself easily or make himself happy among such \"howling swells\" as these Alburys. If they should invite him to the house the matter would be worse that way than the other. He had no confidence in his dress coat, which he was aware had been damaged by nocturnal orgies. It is all very well to tell a fellow to be as \"big a swell\" as anybody else, as Tom had told him. But Faddle acknowledged to himself the difficulty of acting up to such advice. Even the eyes of Colonel Stubbs turned upon him after receipt of the letter would oppress him. \n\nNevertheless he must do his best, and he took a gig at the station nearest to Albury. He was careful to carry his bag with him, but still he lived in hope that he would be able to return to London the same day. When he found himself within the lodges of Stalham Park he could hardly keep himself from shivering, and, when he asked the footman at the door whether Colonel Stubbs were there, he longed to be told that Colonel Stubbs had gone away on the previous day to some--he did not care what--distant part of the globe. But Colonel Stubbs had not gone away. Colonel Stubbs was in the house. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"30922\": \"What is this chapter called?\"\n },\n {\n \"30923\": \"Who took a job at a station by Albury?\"\n },\n {\n \"30924\": \"Did he hope to stay there?\"\n },\n {\n \"30925\": \"What did he hope?\"\n },\n {\n \"30926\": \"What did he take along?\"\n },\n {\n \"30927\": \"Who did he ask about?\"\n },\n {\n \"30928\": \"What was his question?\"\n },\n {\n \"30929\": \"Who did he ask?\"\n },\n {\n \"30930\": \"What was the answer?\"\n },\n {\n \"30931\": \"What was he hoping?\"\n },\n {\n \"30932\": \"What did Faddle think was absurd?\"\n },\n {\n \"30933\": \"Did he think the mail would be just as good?\"\n },\n {\n \"30934\": \"What would be a worse matter?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"30922\",\n \"answer\": \"TOM TRINGLE GETS AN ANSWER.\"\n },\n {\n \"question_id\": \"30923\",\n \"answer\": \"Faddle.\"\n },\n {\n \"question_id\": \"30924\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"30925\",\n \"answer\": \"That he would be able to return to London.\"\n },\n {\n \"question_id\": \"30926\",\n \"answer\": \"His bag.\"\n },\n {\n \"question_id\": \"30927\",\n \"answer\": \"Colonel Stubbs.\"\n },\n {\n \"question_id\": \"30928\",\n \"answer\": \"Whether Colonel Stubbs were there.\"\n },\n {\n \"question_id\": \"30929\",\n \"answer\": \"The footman at the door.\"\n },\n {\n \"question_id\": \"30930\",\n \"answer\": \"Colonel Stubbs was in the house.\"\n },\n {\n \"question_id\": \"30931\",\n \"answer\": \"That Colonel Stubbs had gone away.\"\n },\n {\n \"question_id\": \"30932\",\n \"answer\": \"The law which required such letters to be delivered by hand.\"\n },\n {\n \"question_id\": \"30933\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"30934\",\n \"answer\": \"If they should invite him to the house.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Pester came running into the room. He came to a fast stop when he saw the dog. He'd seen a dog before, every cat has, and he used to live with a black dog named Henry, but he'd never seen a brown one before. It seemed strange to him, but not as strange as it was to see Linda the brown chicken in the living room last spring. That still confused him. \n\nHe thought he liked this dog, not because of the color, but because it was small. And it was so hairy. It was a like a mop that could run around. He jumped on his favorite chair and looked down as Maggie ran under it. She was kind of cute for a dog, Pester thought to himself. He layed down on the chair and pawed at her as she ran in a circle under it. He tapped her ears as she went by, and waved his tail like a flag trying to get her attention. After a little more of this, Pester curled up in a ball on the chair and took a nap.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13734\": \"Who came running into the room?\"\n },\n {\n \"13735\": \"Is he human?\"\n },\n {\n \"13736\": \"What is he?\"\n },\n {\n \"13737\": \"What did he see?\"\n },\n {\n \"13738\": \"was that the first one he saw?\"\n },\n {\n \"13739\": \"what color is the dog?\"\n },\n {\n \"13740\": \"who else did he see that was brown?\"\n },\n {\n \"13741\": \"is she a dog?\"\n },\n {\n \"13742\": \"what is she?\"\n },\n {\n \"13743\": \"does he like this dog?\"\n },\n {\n \"13744\": \"why?\"\n },\n {\n \"13745\": \"anything other reason?\"\n },\n {\n \"13746\": \"from where did he look at the dog?\"\n },\n {\n \"13747\": \"did he like this chair?\"\n },\n {\n \"13748\": \"does the dog have a name?\"\n },\n {\n \"13749\": \"what is it?\"\n },\n {\n \"13750\": \"do they play?\"\n },\n {\n \"13751\": \"did the dog like that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13734\",\n \"answer\": \"Pester\"\n },\n {\n \"question_id\": \"13735\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13736\",\n \"answer\": \"a cat\"\n },\n {\n \"question_id\": \"13737\",\n \"answer\": \"the dog\"\n },\n {\n \"question_id\": \"13738\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"13739\",\n \"answer\": \"brown\"\n },\n {\n \"question_id\": \"13740\",\n \"answer\": \"Linda\"\n },\n {\n \"question_id\": \"13741\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13742\",\n \"answer\": \"a chicken\"\n },\n {\n \"question_id\": \"13743\",\n \"answer\": \"possibly\"\n },\n {\n \"question_id\": \"13744\",\n \"answer\": \"because it was small\"\n },\n {\n \"question_id\": \"13745\",\n \"answer\": \"because it was hairy\"\n },\n {\n \"question_id\": \"13746\",\n \"answer\": \"a chair\"\n },\n {\n \"question_id\": \"13747\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13748\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13749\",\n \"answer\": \"Maggie\"\n },\n {\n \"question_id\": \"13750\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13751\",\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 Canton, Massachusetts (CNN) -- A Massachusetts judge on Thursday unsealed testimony by Mitt Romney in a lawsuit linked to a colleague's contentious divorce battle more than 20 years ago. \n\nThe Boston Globe, with the support of attorney Gloria Allred, sought to make public the testimony Romney gave in the lawsuit that followed the divorce between Tom Stemberg, a co-founder of business supply chain Staples, and Maureen Stemberg Sullivan. \n\nWhile heading Boston private equity firm Bain Capital, Romney worked closely in the 1980s with Stemberg in the development of Staples. Stemberg spoke at the Republican National Convention in August that nominated Romney for president. \n\nA Massachusetts state court judge, Jennifer Ulwick, granted the Boston Globe's request for the testimony, but refused to lift a gag order that prevents Stemberg Sullivan from talking about her dealings and interactions with Romney. \n\nLawyers for Stemberg and Romney told Thursday's hearing they had no objection to releasing the Romney testimony to the Boston Globe. \n\nUlwick said the Romney testimony was being released to the newspaper without restrictions. \n\nAllred announced after the hearing she would provide copies of the Romney transcripts to other media outlets. \n\nThe Boston Globe petitioned the court on October 15 to release Romney's testimony in the lawsuit filed in 1990, but Ulwick said at an initial hearing on Wednesday that she believed the documents had been destroyed. \n\nHowever, Allred and Stemberg Sullivan urged the court to agree to the newspaper's request and, in a surprise move, provided two volumes of Romney's testimony to the court. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93493\": \"Who's testimony was revealed?\"\n },\n {\n \"93494\": \"Who is he?\"\n },\n {\n \"93495\": \"What did they do?\"\n },\n {\n \"93496\": \"When?\"\n },\n {\n \"93497\": \"Who asked for the testimony?\"\n },\n {\n \"93498\": \"When\"\n },\n {\n \"93499\": \"Who had no objected to revealing the information?\"\n },\n {\n \"93500\": \"What was in the testimony?\"\n },\n {\n \"93501\": \"Who else supported revealing the information?\"\n },\n {\n \"93502\": \"What is she?\"\n },\n {\n \"93503\": \"Who was divorced?\"\n },\n {\n \"93504\": \"When?\"\n },\n {\n \"93505\": \"Was the divorce a long process?\"\n },\n {\n \"93506\": \"Where was the information unsealed?\"\n },\n {\n \"93507\": \"By who?\"\n },\n {\n \"93508\": \"Can it be freely talked about?\"\n },\n {\n \"93509\": \"Why not?\"\n },\n {\n \"93510\": \"Was all information given to the papers?\"\n },\n {\n \"93511\": \"Where did Stemberg speak?\"\n },\n {\n \"93512\": \"When\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93493\",\n \"answer\": \"Mitt Romney\"\n },\n {\n \"question_id\": \"93494\",\n \"answer\": \"Stemberg coworker\"\n },\n {\n \"question_id\": \"93495\",\n \"answer\": \"Develop Staples\"\n },\n {\n \"question_id\": \"93496\",\n \"answer\": \"1980s\"\n },\n {\n \"question_id\": \"93497\",\n \"answer\": \"The Boston Globe\"\n },\n {\n \"question_id\": \"93498\",\n \"answer\": \"October 15\"\n },\n {\n \"question_id\": \"93499\",\n \"answer\": \"Stemberg and Romney\"\n },\n {\n \"question_id\": \"93500\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"93501\",\n \"answer\": \"Gloria Allred\"\n },\n {\n \"question_id\": \"93502\",\n \"answer\": \"attorney\"\n },\n {\n \"question_id\": \"93503\",\n \"answer\": \"Tom Stemberg and Maureen Stemberg Sullivan\"\n },\n {\n \"question_id\": \"93504\",\n \"answer\": \"20 years ago\"\n },\n {\n \"question_id\": \"93505\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93506\",\n \"answer\": \"Massachusetts\"\n },\n {\n \"question_id\": \"93507\",\n \"answer\": \"Jennifer Ulwick\"\n },\n {\n \"question_id\": \"93508\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93509\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"93510\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93511\",\n \"answer\": \"the Republican National Convention\"\n },\n {\n \"question_id\": \"93512\",\n \"answer\": \"August\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIII. \n\nAUGUST 1ST, 1714. \n\n\"Does my mistress know of this?\" Esmond asked of Frank, as they walked along. \n\n\"My mother found the letter in the book, on the toilet-table. She had writ it ere she had left home,\" Frank said. \"Mother met her on the stairs, with her hand upon the door, trying to enter, and never left her after that till she went away. He did not think of looking at it there, nor had Martin the chance of telling him. I believe the poor devil meant no harm, though I half killed him; he thought 'twas to Beatrix's brother he was bringing the letter.\" \n\nFrank never said a word of reproach to me for having brought the villain amongst us. As we knocked at the door I said, \"When will the horses be ready?\" Frank pointed with his cane, they were turning the street that moment. \n\nWe went up and bade adieu to our mistress; she was in a dreadful state of agitation by this time, and that Bishop was with her whose company she was so fond of. \n\n\"Did you tell him, my lord,\" says Esmond, \"that Beatrix was at Castlewood?\" The Bishop blushed and stammered: \"Well,\" says he, \"I . . .\" \n\n\"You served the villain right,\" broke out Mr. Esmond, \"and he has lost a crown by what you told him.\" \n\nMy mistress turned quite white, \"Henry, Henry,\" says she, \"do not kill him.\" \n\n\"It may not be too late,\" says Esmond; \"he may not have gone to Castlewood; pray God, it is not too late.\" The Bishop was breaking out with some banale phrases about loyalty, and the sacredness of the Sovereign's person; but Esmond sternly bade him hold his tongue, burn all papers, and take care of Lady Castlewood; and in five minutes he and Frank were in the saddle, John Lockwood behind them, riding towards Castlewood at a rapid pace. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74649\": \"Who has a mistress?\"\n },\n {\n \"74650\": \"Who is he talking to?\"\n },\n {\n \"74651\": \"What are they doing?\"\n },\n {\n \"74652\": \"Who found something?\"\n },\n {\n \"74653\": \"Whose?\"\n },\n {\n \"74654\": \"What did she find?\"\n },\n {\n \"74655\": \"Was the woman happy?\"\n },\n {\n \"74656\": \"How did she feel?\"\n },\n {\n \"74657\": \"Who was she with?\"\n },\n {\n \"74658\": \"Who did the mistress like to spend time with?\"\n },\n {\n \"74659\": \"What did Esmond ask about?\"\n },\n {\n \"74660\": \"Where was she?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74649\",\n \"answer\": \"Esmond\"\n },\n {\n \"question_id\": \"74650\",\n \"answer\": \"Frank\"\n },\n {\n \"question_id\": \"74651\",\n \"answer\": \"walking\"\n },\n {\n \"question_id\": \"74652\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"74653\",\n \"answer\": \"Esmond\"\n },\n {\n \"question_id\": \"74654\",\n \"answer\": \"a letter\"\n },\n {\n \"question_id\": \"74655\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74656\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"74657\",\n \"answer\": \"the mistress\"\n },\n {\n \"question_id\": \"74658\",\n \"answer\": \"Beatrix's brother\"\n },\n {\n \"question_id\": \"74659\",\n \"answer\": \"about Beatrix\"\n },\n {\n \"question_id\": \"74660\",\n \"answer\": \"Castlewood\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Simon hardly listened to his teachers or worked hard in class. For him, talking was so much better. He never stopped talking. He wanted to be heard. \"If you listen carefully, you'll learn something.\" Mrs. Jacobs told him many times, but it didn't work. Last Sunday, Simon had a sore throat and he lost his voice the next morning. \"Can I stay home?\" he tried to ask, but words didn't come out. His mother thought he could go to school. He felt upset. When he got to school, he didn't say anything to his friends or teachers. Everyone started talking at once. They were excited, worried and surprised. Mrs. Jacobs seemed happy. Simon was bored because he couldn't talk. But it wasn't so bad. He could do his homework. The next day, even though his voice was coming back, he stayed quiet again. He listened and put up his hand to speak. What a great difference! ,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4321\": \"What was the teacher's name?\"\n },\n {\n \"4322\": \"Who was one of her students?\"\n },\n {\n \"4323\": \"Was he quiet?\"\n },\n {\n \"4324\": \"Was he a good listener?\"\n },\n {\n \"4325\": \"What made him be quiet?\"\n },\n {\n \"4326\": \"When?\"\n },\n {\n \"4327\": \"Did he go to school the next day?\"\n },\n {\n \"4328\": \"Why didn't he stay home?\"\n },\n {\n \"4329\": \"Did he talk to anyone that day?\"\n },\n {\n \"4330\": \"Was he able to concentrate more when he was silent?\"\n },\n {\n \"4331\": \"Did he try to be quiet more often?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4321\",\n \"answer\": \"Mrs. Jacobs\"\n },\n {\n \"question_id\": \"4322\",\n \"answer\": \"Simon\"\n },\n {\n \"question_id\": \"4323\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"4324\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"4325\",\n \"answer\": \"Lost his voice.\"\n },\n {\n \"question_id\": \"4326\",\n \"answer\": \"Last Sunday\"\n },\n {\n \"question_id\": \"4327\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"4328\",\n \"answer\": \"His mother thought he could go to school\"\n },\n {\n \"question_id\": \"4329\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"4330\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"4331\",\n \"answer\": \"Yes.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- As World Cup openers go, this was about as bad as it gets for Portugal. \n\nThumped 4-0 by Germany, one key defender sent off, another possibly out of the tournament with injury and its World Player of the Year looking decidedly unfit. \n\nReal Madrid star Cristiano Ronaldo wasn't lacking in effort but was as powerless as those around him to prevent Portugal being steamrollered by Der Mannschaft in Salvador. \n\nIt started badly for Paulo Bento's men and got steadily worse as Germany maintained its record of scoring at least four goals in every opening World Cup match since 2002. \n\nLatest World Cup scores \n\nThey were 1-0 down after 10 minutes when Joao Pereira was adjudged to have hauled down Mario Gotze. Fellow Bayern Munich star Thomas Muller confidently slotted home the penalty. \n\nIt was 2-0 when Mats Hummels thumped a header into the net from Toni Kroos' corner. \n\nJust five minutes later, Real Madrid defender Pepe tangled with Muller, who sank theatrically to the turf claiming a hand to the face. \n\nPepe then stood over his opponent and pushed his head towards Muller's, the referee producing a straight red card. \n\nMuller then struck just before the interval to put the game well beyond Portugal, pouncing on a loose ball inside the area to fire past Rui Patricio. \n\nPortugal made a change at the break, as Ricardo Costa replaced Miguel Veloso, but it made little difference as Germany continued to press home their advantage. \n\nMesut Ozil, who plays for Arsenal, should have found the net when played through on goal but he hit his shot straight at Patricio. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69594\": \"Was the record broken?\"\n },\n {\n \"69595\": \"Who lost the world cup?\"\n },\n {\n \"69596\": \"to whom?\"\n },\n {\n \"69597\": \"Was someone replaced?\"\n },\n {\n \"69598\": \"What color card was produced?\"\n },\n {\n \"69599\": \"What caused it?\"\n },\n {\n \"69600\": \"Did the change out prove effective?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69594\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69595\",\n \"answer\": \"Portugal.\"\n },\n {\n \"question_id\": \"69596\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"69597\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69598\",\n \"answer\": \"red card.\"\n },\n {\n \"question_id\": \"69599\",\n \"answer\": \"Pepe then stood over his opponent and pushed his head towards Muller's\"\n },\n {\n \"question_id\": \"69600\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III \n\nPETERS' OFFER \n\nWyndham and Flora were married at a small country church. The morning was bright and the sun touched the east window with vivid color and pierced the narrow lancets on the south. Red and green reflections stained the mosaics inside the chancel rails, but shadows lurked behind the arches and pillars, for the old building had no clerestory. \n\nMabel was bridesmaid, Marston was groomsman, and as he waited for a few moments by the rails he looked about. Commodore Chisholm had numerous friends, and for the most part Marston knew the faces turned towards the chancel. He had sailed hard races against some of the men and danced with their wives and daughters. They were sober English folk, and he was glad they had come to stamp with their approval his partner's wedding. Some, however, he could not see, because they sat back in the gloom. \n\nThen he glanced at his companions. He was nervous, but Mabel was marked by her serene calm. Flora's look was rather fixed, and although she had not much color, her pose was resolute and proud. Marston wondered whether she felt she was making something of a plunge; but if she did so, he knew she would not hesitate. Chisholm's face was quiet and perhaps a trifle stern; he looked rather old, and Marston imagined him resigned. The Commodore was frank; one generally knew what he felt. All three looked typically English, but Wyndham did not. Although his eyes were very blue and his hair was touched by red, he was different from the others. His face, as Marston saw it in profile, was thin and in a way ascetic, but it wore a stamp of recklessness. His pose was strangely alert and highly strung. There was something exotic about him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24621\": \"Was Mabel nervous?\"\n },\n {\n \"24622\": \"What about Marston?\"\n },\n {\n \"24623\": \"Who was the groom?\"\n },\n {\n \"24624\": \"Who was the bride?\"\n },\n {\n \"24625\": \"Were they married at night?\"\n },\n {\n \"24626\": \"Where was the wedding?\"\n },\n {\n \"24627\": \"Who else was there?\"\n },\n {\n \"24628\": \"Did he have a lot of friends?\"\n },\n {\n \"24629\": \"Did he wear his heart on his sleeve?\"\n },\n {\n \"24630\": \"What color eyes did Wyndham have?\"\n },\n {\n \"24631\": \"Who was the groomsman?\"\n },\n {\n \"24632\": \"Who was the bridesmaid?\"\n },\n {\n \"24633\": \"What did Marston wonder?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24621\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24622\",\n \"answer\": \"He was nervous\"\n },\n {\n \"question_id\": \"24623\",\n \"answer\": \"Marston\"\n },\n {\n \"question_id\": \"24624\",\n \"answer\": \"Flora\"\n },\n {\n \"question_id\": \"24625\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24626\",\n \"answer\": \"at a small country church\"\n },\n {\n \"question_id\": \"24627\",\n \"answer\": \"Commodore Chisholm\"\n },\n {\n \"question_id\": \"24628\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24629\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24630\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"24631\",\n \"answer\": \"Marston\"\n },\n {\n \"question_id\": \"24632\",\n \"answer\": \"Mabel\"\n },\n {\n \"question_id\": \"24633\",\n \"answer\": \"wondered if Flora felt she was making something of a plunge\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jamaica () is an island country situated in the Caribbean Sea, consisting of the third-largest island of the Greater Antilles. The island, in area, lies about south of Cuba, and west of Hispaniola (the island containing the countries of Haiti and the Dominican Republic). Jamaica is the fourth-largest island country in the Caribbean, by area. \n\nInhabited by the indigenous Arawak and Taíno peoples, the island came under Spanish rule following the arrival of Christopher Columbus in 1494. Many of the indigenous people died of disease, and the Spanish imported African slaves as labourers. Named \"\", the island remained a possession of Spain until 1655, when England (later Great Britain) conquered it and renamed it Jamaica. Under British colonial rule Jamaica became a leading sugar exporter, with its plantation economy highly dependent on slaves forcibly transported from Africa. The British fully emancipated all slaves in 1838, and many freedmen chose to have subsistence farms rather than to work on plantations. Beginning in the 1840s, the British imported Chinese and Indian indentured labour to work on plantations. The island achieved independence from the United Kingdom on 6 August 1962. \n\nWith /1e6 round 1 million people, Jamaica is the third-most populous Anglophone country in the Americas (after the United States and Canada), and the fourth-most populous country in the Caribbean. Kingston is the country's capital and largest city, with a population of 937,700. Jamaicans predominately have African ancestry, with significant European, Chinese, Indian, and mixed-race minorities. Due to a high rate of emigration for work since the 1960s, Jamaica has a large diaspora around the world, particularly in Canada, the United Kingdom, and the United States.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48763\": \"How many Anglophone countries in the Americas have more people than Jamaica?\"\n },\n {\n \"48764\": \"Is Mexico one of those?\"\n },\n {\n \"48765\": \"What countries then?\"\n },\n {\n \"48766\": \"How many more populous countries exist in the Caribbean?\"\n },\n {\n \"48767\": \"Is there over 500,000 people in Jamaica?\"\n },\n {\n \"48768\": \"What's the biggest city?\"\n },\n {\n \"48769\": \"What about its capital?\"\n },\n {\n \"48770\": \"How many people live in the city?\"\n },\n {\n \"48771\": \"What is their main ancestry?\"\n },\n {\n \"48772\": \"Did a lot of people leave the country in the 1960s?\"\n },\n {\n \"48773\": \"Why?\"\n },\n {\n \"48774\": \"Are there many Jamaicans in the UK?\"\n },\n {\n \"48775\": \"Where else?\"\n },\n {\n \"48776\": \"Is it in the Mediterranean Sea?\"\n },\n {\n \"48777\": \"Which sea?\"\n },\n {\n \"48778\": \"What island is north of it?\"\n },\n {\n \"48779\": \"Who arrived in the fifteenth century?\"\n },\n {\n \"48780\": \"What are the native people called?\"\n },\n {\n \"48781\": \"Who named it Jamaica?\"\n },\n {\n \"48782\": \"What does it export?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48763\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"48764\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48765\",\n \"answer\": \"United States and Canada\"\n },\n {\n \"question_id\": \"48766\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48767\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48768\",\n \"answer\": \"Kingston\"\n },\n {\n \"question_id\": \"48769\",\n \"answer\": \"Kingston\"\n },\n {\n \"question_id\": \"48770\",\n \"answer\": \"937,700\"\n },\n {\n \"question_id\": \"48771\",\n \"answer\": \"African\"\n },\n {\n \"question_id\": \"48772\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48773\",\n \"answer\": \"high rate of emigration for work\"\n },\n {\n \"question_id\": \"48774\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48775\",\n \"answer\": \"Canada and the United States\"\n },\n {\n \"question_id\": \"48776\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48777\",\n \"answer\": \"Caribbean\"\n },\n {\n \"question_id\": \"48778\",\n \"answer\": \"Cuba\"\n },\n {\n \"question_id\": \"48779\",\n \"answer\": \"Christopher Columbus\"\n },\n {\n \"question_id\": \"48780\",\n \"answer\": \"Arawak and Ta\\u00edno peoples\"\n },\n {\n \"question_id\": \"48781\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"48782\",\n \"answer\": \"sugar\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n UniProt is a freely accessible database of protein sequence and functional information, many entries being derived from genome sequencing projects. It contains a large amount of information about the biological function of proteins derived from the research literature. \n\nThe UniProt consortium comprises the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB), and the Protein Information Resource (PIR). EBI, located at the Wellcome Trust Genome Campus in Hinxton, UK, hosts a large resource of bioinformatics databases and services. SIB, located in Geneva, Switzerland, maintains the ExPASy (Expert Protein Analysis System) servers that are a central resource for proteomics tools and databases. PIR, hosted by the National Biomedical Research Foundation (NBRF) at the Georgetown University Medical Center in Washington, DC, USA, is heir to the oldest protein sequence database, Margaret Dayhoff's Atlas of Protein Sequence and Structure, first published in 1965. In 2002, EBI, SIB, and PIR joined forces as the UniProt consortium. \n\nEach consortium member is heavily involved in protein database maintenance and annotation. Until recently, EBI and SIB together produced the Swiss-Prot and TrEMBL databases, while PIR produced the Protein Sequence Database (PIR-PSD). These databases coexisted with differing protein sequence coverage and annotation priorities. \n\nSwiss-Prot was created in 1986 by Amos Bairoch during his PhD and developed by the Swiss Institute of Bioinformatics and subsequently developed by Rolf Apweiler at the European Bioinformatics Institute. Swiss-Prot aimed to provide reliable protein sequences associated with a high level of annotation (such as the description of the function of a protein, its domain structure, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration with other databases. Recognizing that sequence data were being generated at a pace exceeding Swiss-Prot's ability to keep up, TrEMBL (Translated EMBL Nucleotide Sequence Data Library) was created to provide automated annotations for those proteins not in Swiss-Prot. Meanwhile, PIR maintained the PIR-PSD and related databases, including iProClass, a database of protein sequences and curated families.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58829\": \"When was Swiss-Prot developed?\"\n },\n {\n \"58830\": \"By whom?\"\n },\n {\n \"58831\": \"Was he working on a dissertation at the time?\"\n },\n {\n \"58832\": \"Was he working on his PhD?\"\n },\n {\n \"58833\": \"Which entity helped Amos in the development?\"\n },\n {\n \"58834\": \"Did someone later work on its development?\"\n },\n {\n \"58835\": \"Who?\"\n },\n {\n \"58836\": \"And his entity?\"\n },\n {\n \"58837\": \"What is the use of UniProt?\"\n },\n {\n \"58838\": \"What is the NBRF?\"\n },\n {\n \"58839\": \"From which institution?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"58829\",\n \"answer\": \"1986\"\n },\n {\n \"question_id\": \"58830\",\n \"answer\": \"Amos Bairoch\"\n },\n {\n \"question_id\": \"58831\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"58832\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"58833\",\n \"answer\": \"Swiss Institute of Bioinformatics\"\n },\n {\n \"question_id\": \"58834\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"58835\",\n \"answer\": \"Rolf Apweiler\"\n },\n {\n \"question_id\": \"58836\",\n \"answer\": \"European Bioinformatics Institute\"\n },\n {\n \"question_id\": \"58837\",\n \"answer\": \"database of protein sequence and functional information\"\n },\n {\n \"question_id\": \"58838\",\n \"answer\": \"National Biomedical Research Foundation\"\n },\n {\n \"question_id\": \"58839\",\n \"answer\": \"Georgetown University Medical Center\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Catalan (/ˈkætəlæn/; autonym: català [kətəˈla] or [kataˈla]) is a Romance language named for its origins in Catalonia, in what is northeastern Spain and adjoining parts of France. It is the national and only official language of Andorra, and a co-official language of the Spanish autonomous communities of Catalonia, the Balearic Islands, and Valencia (where the language is known as Valencian, and there exist regional standards). It also has semi-official status in the city of Alghero on the Italian island of Sardinia. It is also spoken with no official recognition in parts of the Spanish autonomous communities of Aragon (La Franja) and Murcia (Carche), and in the historic French region of Roussillon/Northern Catalonia, roughly equivalent to the department of Pyrénées-Orientales. \n\nAccording to the Statistical Institute of Catalonia in 2008 the Catalan language is the second most commonly used in Catalonia, after Spanish, as a native or self-defining language. The Generalitat of Catalunya spends part of its annual budget on the promotion of the use of Catalan in Catalonia and in other territories.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31449\": \"What is Catalan?\"\n },\n {\n \"31450\": \"Where is Catalonia?\"\n },\n {\n \"31451\": \"It is tough to learn?\"\n },\n {\n \"31452\": \"Is it common?\"\n },\n {\n \"31453\": \"Where did it start?\"\n },\n {\n \"31454\": \"Is it similar to other languages?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31449\",\n \"answer\": \"a Romance language named for its origins in Catalonia\"\n },\n {\n \"question_id\": \"31450\",\n \"answer\": \"in northeastern Spain and adjoining parts of France\"\n },\n {\n \"question_id\": \"31451\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"31452\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31453\",\n \"answer\": \"Catalonia\"\n },\n {\n \"question_id\": \"31454\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TEN. \n\nPROVES THAT THE BEST OF FRIENDS MAY QUARREL ABOUT NOTHING, AND THAT WAR HAS TWO ASPECTS. \n\n\"Now, Erling,\" said Glumm, with a face so cheerful, that had the expression been habitual, he never would have been styled the Gruff, \"I will go home with thee and wait until thou art busked, after which we will go together to my house and have a bite and a horn of mead before setting out on this expedition. I thank the Stoutheart for suggesting it, for the business likes me well.\" \n\n\"Thou wert ever prone to court danger, Glumm,\" said Erling with a laugh, as they hurried towards Haldorstede, \"and methinks thou art going to be blessed with a full share of it just now, for this Harald Haarfager is not a man to be trifled with. Although thou and I could hold our own against some odds, we shall find the odds too much for us in the King's camp, should he set his face against us. However, the cause is a good one, and to say truth, I am not sorry that they had the goodness to pitch on thee and me to carry out the plan.\" \n\nThus conversing they arrived at Ulfstede, where Herfrida met them at the door, and was soon informed of their mission. She immediately went to an inner closet, where the best garments and arms were kept, and brought forth Erling's finest suit of armour, in order that he might appear with suitable dignity at court. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79162\": \"Who were the main characters\"\n },\n {\n \"79163\": \"What are they talking about\"\n },\n {\n \"79164\": \"were was it taking them\"\n },\n {\n \"79165\": \"why were they going there?\"\n },\n {\n \"79166\": \"What was in Ulfstede?\"\n },\n {\n \"79167\": \"What did she have for them?\"\n },\n {\n \"79168\": \"why did he need that?\"\n },\n {\n \"79169\": \"was he going to propostion the Kind a favor?\"\n },\n {\n \"79170\": \"why was he going to the kings camp then?\"\n },\n {\n \"79171\": \"was Erling cheerful?\"\n },\n {\n \"79172\": \"What was his nickname?\"\n },\n {\n \"79173\": \"what were they going to do at earlings house?\"\n },\n {\n \"79174\": \"did they get any nourishment?\"\n },\n {\n \"79175\": \"what did they wash it down with?\"\n },\n {\n \"79176\": \"Who were they going to see in Kings camp?\"\n },\n {\n \"79177\": \"is he a pushover?\"\n },\n {\n \"79178\": \"do they think they can convince him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79162\",\n \"answer\": \"Erling and Glumm\"\n },\n {\n \"question_id\": \"79163\",\n \"answer\": \"their upcoming expedition\"\n },\n {\n \"question_id\": \"79164\",\n \"answer\": \"to the King's camp\"\n },\n {\n \"question_id\": \"79165\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79166\",\n \"answer\": \"Herfrida\"\n },\n {\n \"question_id\": \"79167\",\n \"answer\": \"Erling's finest suit of armour\"\n },\n {\n \"question_id\": \"79168\",\n \"answer\": \"to appear with suitable dignity at court.\"\n },\n {\n \"question_id\": \"79169\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79170\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79171\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"79172\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"79173\",\n \"answer\": \"Erling would be busked\"\n },\n {\n \"question_id\": \"79174\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79175\",\n \"answer\": \"a horn of mead\"\n },\n {\n \"question_id\": \"79176\",\n \"answer\": \"Harald Haarfager\"\n },\n {\n \"question_id\": \"79177\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79178\",\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 Cairo (CNN) -- Civil rights lawyers demanded the death penalty for former Egyptian President Hosni Mubarak on Monday, joining prosecutor's calls for him to be executed. \n\n\"We merged our voice with the prosecutor's closing arguments from last week's hearing and demanded the death sentence to Mubarak, his former interior minister Habib El Adly, and four of his aides for killing hundreds of protesters and injuring thousands more,\" attorney Khalid Abu Bakr told CNN. \"We have proof Mubarak is directly responsible for the killings along with El Adly and his aides.\" \n\nAbu Bakr said Mubarak deserved to die for violating Egypt's criminal law 77. \n\n\"His negligence and actions led to endangering the national security of the country,\" he said. \n\nThe attorney also provided the court with a list of alleged suspects he wants indicted, including police officers he said where caught on camera firing their weapons on protesters. \n\nAnother lawyer, Sameh Ashour, said he provided evidence to the court \"of communication between security forces that prove the presence of snipers on rooftop buildings during the revolution.\" \n\nThe judge, Ahmed Refaat, has set aside Monday and Tuesday to hear from at least 10 civil rights lawyers. The defense is expected to make its closing arguments later in the week. \n\n\"The judge will then decide on a day to announce the final verdict,\" said Adel Saeed, the official spokesman of the General Prosecutor's office. \"If he is fast, we may see a verdict before January 25th\" -- the day the Egyptian uprising began last year. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2998\": \"What were civil workers demanding?\"\n },\n {\n \"2999\": \"For who?\"\n },\n {\n \"3000\": \"What did prosecutors want?\"\n },\n {\n \"3001\": \"What law did he violate?\"\n },\n {\n \"3002\": \"What specific law was it?\"\n },\n {\n \"3003\": \"What were the police officers doing on video?\"\n },\n {\n \"3004\": \"What evidence did Ashour have?\"\n },\n {\n \"3005\": \"and what else?\"\n },\n {\n \"3006\": \"What was the judges name?\"\n },\n {\n \"3007\": \"When did they expect to hear a verdict?\"\n },\n {\n \"3008\": \"How many civil rights lawyers were there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2998\",\n \"answer\": \"The death penalty\"\n },\n {\n \"question_id\": \"2999\",\n \"answer\": \"Hosni Mubarak\"\n },\n {\n \"question_id\": \"3000\",\n \"answer\": \"For him to be executed.\"\n },\n {\n \"question_id\": \"3001\",\n \"answer\": \"Killing protesters\"\n },\n {\n \"question_id\": \"3002\",\n \"answer\": \"Egypt's criminal law 77.\"\n },\n {\n \"question_id\": \"3003\",\n \"answer\": \"Firing their weapons on protesters.\"\n },\n {\n \"question_id\": \"3004\",\n \"answer\": \"Ccommunication between security forces\"\n },\n {\n \"question_id\": \"3005\",\n \"answer\": \"Proof of the presence of snipers\"\n },\n {\n \"question_id\": \"3006\",\n \"answer\": \"Ahmed Refaat\"\n },\n {\n \"question_id\": \"3007\",\n \"answer\": \"Before January 25th\"\n },\n {\n \"question_id\": \"3008\",\n \"answer\": \"At least 10.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (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 Attention to detail is something everyone can and should do -- especially in tight job market. Bob Crossley, a human-resources expert notices this in the job applications that come across his desk every day. \"It's amazing how many candidates _ themselves,\" he says. \n\n\"Resumes arrive with faults. Some candidates don't bother to spell the company's name correctly. Once I see a mistake, I cross out the candidates,\" Crossley concludes. \"If they cannot take care of these details, why should we trust them with a job?\" \n\nCan we pay too much attention to details? Perfectionists struggle over little things at the cost of something larger they work toward. \"To keep from losing the forest for the trees,\" says Charles Garfield, the professor at the University of California, San Francisco, \"We must constantly ask ourselves how the details we're working on fit into the larger picture. If they don't, we should drop them and move to something else.\" \n\nGarfield compares this process to his work as a computer scientist at NASA. \"The Apollo II moon launch was slightly off course 90 percent of the time,\" says Garfield. \"But a successful landing was still likely because we knew the exact position of our goal. This allowed us to make adjustments as necessary.\" Knowing where to go helps us judge the importance of every task we undertake. \n\nToo often we believe what accounts for others' success is some special secret or a lucky break. But rarely is success so mysterious. Again and again, we see that by doing little things within our grasp well, large rewards follow.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61160\": \"Who is Bob Crosskey?\"\n },\n {\n \"61161\": \"what does he sazy?\"\n },\n {\n \"61162\": \"What do most not bother to do?\"\n },\n {\n \"61163\": \"Do resumnes have faults?\"\n },\n {\n \"61164\": \"What does Garfield say?\"\n },\n {\n \"61165\": \"what does he compare?\"\n },\n {\n \"61166\": \"what do perfectionists struggle with?\"\n },\n {\n \"61167\": \"What must we constantly do?\"\n },\n {\n \"61168\": \"what?\"\n },\n {\n \"61169\": \"who is garfield?\"\n },\n {\n \"61170\": \"what is his last name?\"\n },\n {\n \"61171\": \"Where is the college?\"\n },\n {\n \"61172\": \"what do we do too often?\"\n },\n {\n \"61173\": \"What happens rarely?\"\n },\n {\n \"61174\": \"What happens with little things?\"\n },\n {\n \"61175\": \"what\\\\ type?\"\n },\n {\n \"61176\": \"what should everyone do?\"\n },\n {\n \"61177\": \"especially when?\"\n },\n {\n \"61178\": \"what goes across his desk?\"\n },\n {\n \"61179\": \"how often?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61160\",\n \"answer\": \"human-resources expert\"\n },\n {\n \"question_id\": \"61161\",\n \"answer\": \"Attention to detail is something everyone can and should do\"\n },\n {\n \"question_id\": \"61162\",\n \"answer\": \"r to spell the company's name correctly.\"\n },\n {\n \"question_id\": \"61163\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61164\",\n \"answer\": \"\\\"To keep from losing the forest for the trees,\"\n },\n {\n \"question_id\": \"61165\",\n \"answer\": \"this process to his work as a computer scientist at NASA.\"\n },\n {\n \"question_id\": \"61166\",\n \"answer\": \"little things at the cost of something larger they work toward.\"\n },\n {\n \"question_id\": \"61167\",\n \"answer\": \"ask ourselves\"\n },\n {\n \"question_id\": \"61168\",\n \"answer\": \"how the details we're working on fit into the larger picture.\"\n },\n {\n \"question_id\": \"61169\",\n \"answer\": \"the professor at the University of California\"\n },\n {\n \"question_id\": \"61170\",\n \"answer\": \"Charles Garfield,\"\n },\n {\n \"question_id\": \"61171\",\n \"answer\": \"California, San Francisco\"\n },\n {\n \"question_id\": \"61172\",\n \"answer\": \"\\\\ what accounts for others' success is some special secret or a lucky break\"\n },\n {\n \"question_id\": \"61173\",\n \"answer\": \"success so mysterious.\"\n },\n {\n \"question_id\": \"61174\",\n \"answer\": \"rewards follow.\"\n },\n {\n \"question_id\": \"61175\",\n \"answer\": \"large\"\n },\n {\n \"question_id\": \"61176\",\n \"answer\": \"Attention to detail\"\n },\n {\n \"question_id\": \"61177\",\n \"answer\": \"in a tight job market.\"\n },\n {\n \"question_id\": \"61178\",\n \"answer\": \"appliocations\"\n },\n {\n \"question_id\": \"61179\",\n \"answer\": \"every day.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TWENTY SEVEN. \n\nMISSED AND MOURNED. \n\n\"Nor deem the irrevocable Past As wholly wasted, wholly vain.\" _Longfellow_. \n\n\"Be they Gobblealls not coming home?\" asked Nanny Barton, as she stood at her gate, while some of her neighbours came slowly out of church, about two years later. \n\n\"My man, he did ask Shepherd Tomkins,\" said Betsy Seddon, \"and all the answer he got was, `You don't desarve it, not you.' As if my man had gone out with that there rabble rout!\" \n\n\"And I'm sure mine only went up to see what they were after, and helped to put out the fire beside.\" \n\n\"Ay,\" said Cox, behind her, \"but not till the soldiers were come.\" \n\n\"Time they did come!\" said Seddon. \"Rain comes through the roof, and that there Lawyer Brent won't have nothing done to it till the captain comes home.\" \n\n\"Yes,\" added Morris, \"and when I spoke to him about my windows, as got blown in, he said `cottages were no end of expense, and we hadn't treated them so as they would wish to come back nohow.'\" \n\n\"Think of their bearing malice!\" cried Nanny Barton. \n\n\"I don't believe as how they does,\" responded the other Nanny. \"They have sent the coals and the blankets all the same.\" \n\n\"Bear malice!\" said Mrs Truman, who had just walked up. \"No, no. Why, Parson Harford have said over and over again, when he gave a shilling or so or a meat order, to help a poor lady that was ill, that 'twas by madam's wish.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63590\": \"Who would do nothing about the roof?\"\n },\n {\n \"63591\": \"What was wrong with it?\"\n },\n {\n \"63592\": \"What was he waiting on?\"\n },\n {\n \"63593\": \"What did he say about cottages?\"\n },\n {\n \"63594\": \"Who did he say this to?\"\n },\n {\n \"63595\": \"When?\"\n },\n {\n \"63596\": \"Was it in response to issues with Morris' home?\"\n },\n {\n \"63597\": \"Who was Nanny Barton concerned with?\"\n },\n {\n \"63598\": \"What was her concern?\"\n },\n {\n \"63599\": \"Where was she standing?\"\n },\n {\n \"63600\": \"What was happening?\"\n },\n {\n \"63601\": \"After how long?\"\n },\n {\n \"63602\": \"What did Betsy's husband help do?\"\n },\n {\n \"63603\": \"Who helped the poor lady that was ill?\"\n },\n {\n \"63604\": \"How did he help?\"\n },\n {\n \"63605\": \"Who wanted hi to do this?\"\n },\n {\n \"63606\": \"Who heard him say this?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63590\",\n \"answer\": \"Lawyer Brent\"\n },\n {\n \"question_id\": \"63591\",\n \"answer\": \"Rain comes through\"\n },\n {\n \"question_id\": \"63592\",\n \"answer\": \"The captain to come home\"\n },\n {\n \"question_id\": \"63593\",\n \"answer\": \"They were no end of expense\"\n },\n {\n \"question_id\": \"63594\",\n \"answer\": \"Morris\"\n },\n {\n \"question_id\": \"63595\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"63596\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63597\",\n \"answer\": \"The Gobblealls\"\n },\n {\n \"question_id\": \"63598\",\n \"answer\": \"If they were not coming home\"\n },\n {\n \"question_id\": \"63599\",\n \"answer\": \"At her gate\"\n },\n {\n \"question_id\": \"63600\",\n \"answer\": \"Some of her neighbours came slowly out of church\"\n },\n {\n \"question_id\": \"63601\",\n \"answer\": \"Two years later\"\n },\n {\n \"question_id\": \"63602\",\n \"answer\": \"He asked Shepherd Tomkins\"\n },\n {\n \"question_id\": \"63603\",\n \"answer\": \"Parson Harford\"\n },\n {\n \"question_id\": \"63604\",\n \"answer\": \"He gave a shilling or so or a meat order\"\n },\n {\n \"question_id\": \"63605\",\n \"answer\": \"Madam's\"\n },\n {\n \"question_id\": \"63606\",\n \"answer\": \"Mrs Truman\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n An inventor seeks to create a new product that serves a specific need and fulfills a role that other products do not. Sometimes an inventor comes up with a wholly new idea, but more often inventions are simply improvements on an older design. With a little imagination and creativity , an old idea can suddenly become something new. \n\nHowever, creating a new invention means much more than having a brilliant idea. A good designer follows the design process: identifying the challenge, researching and brainstorming ideas , designing a solution, testing and evaluating the ideas, and finally building the product. Designers also use science, math, technology, and engineering to design a tool that satisfies the need they identified. \n\nAnyone can be an inventor --even kids! For example, Chester Greenwood was just fifteen years old when he invented a product that changed his life. In fact, his idea was so good that his invention supported him for the rest of his life. You may not know his name, but you probably know his invention --earmuffs ! \n\nThe inspiration for his earmuff design came to Chester when he was ice-skating. His ears were cold, and he decided to find a way to keep them warm. With the help of his grandmother, he made a new product to protect his ears and at the age of eighteen, Chester patented his earmuff design. \n\nMany other famous inventors started young as well. Margaret Knight --the inventor of the flat-bottomed brown paper bag --is said to have created a safety device for textile looms when she was just twelve years old. Another example is Thomas Edison, one of the greatest inventors in history, who applied for his first patent when he was just twenty-one years old. Over the course of his life, Thomas Edison patented a total of 1,093 inventions!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33130\": \"The main topic of the subject?\"\n },\n {\n \"33131\": \"Can non adults become inventors?\"\n },\n {\n \"33132\": \"Is there an example given?\"\n },\n {\n \"33133\": \"How old where they?\"\n },\n {\n \"33134\": \"who was it?\"\n },\n {\n \"33135\": \"What was his brain child?\"\n },\n {\n \"33136\": \"Where did he get that notion?\"\n },\n {\n \"33137\": \"Is ti common for brand new ideas over improvements?\"\n },\n {\n \"33138\": \"Who had over 1,000 patents?\"\n },\n {\n \"33139\": \"Was he considered one of the worst of all time?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33130\",\n \"answer\": \"Inventors\"\n },\n {\n \"question_id\": \"33131\",\n \"answer\": \"Anyone can be an inventor --even kids!\"\n },\n {\n \"question_id\": \"33132\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33133\",\n \"answer\": \"fifteen\"\n },\n {\n \"question_id\": \"33134\",\n \"answer\": \"Chester Greenwood\"\n },\n {\n \"question_id\": \"33135\",\n \"answer\": \"earmuffs\"\n },\n {\n \"question_id\": \"33136\",\n \"answer\": \"While ice-skating?\"\n },\n {\n \"question_id\": \"33137\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33138\",\n \"answer\": \"Thomas Edison\"\n },\n {\n \"question_id\": \"33139\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)John Isner could not keep the United States in the Davis Cup on Sunday, so it was likely small consolation that his incredible tennis milestone remained unbeaten. \n\nWhile the American lost to Andy Murray in Scotland, putting Great Britain into the quarterfinals of the prestigious teams event, halfway across the world an absorbing battle was playing out between two of South America's most bitter rivals. \n\nIn the end it didn't come close to matching Isner's 11-hour marathon against Nicolas Mahut at Wimbledon in 2010, but the fourth rubber in the clash between Argentina and Brazil made its own piece of history. \n\nFor six hour and 43 minutes, Leonardo Mayer and Joao Souza contested the second-longest singles match in tennis history -- and third longest of any format after a seven-hour doubles clash between Switzerland and the Czech Republic in 2013. \n\nMayer eventually triumphed, after his 11th match point, winning 7-6 (7-4) 7-6 (7-5) 5-7 5-7 15-13 in front of a delirious home crowd in Buenos Aires to send the tie to a deciding rubber. \n\nIt set the scene for Federico Delbonis to take on Brazil's Thomaz Bellucci in the decider -- with the winner to earn a clash with Novak Djokovic's Serbia, a 5-0 victor over Balkan rival Croatia. \n\nDelbonis had won the first set 6-3 when play was halted for the day due to bad light. The match will resume on Monday. \n\nMeanwhile, back in Glasgow, the British team celebrated after earning a home quarterfinal clash with France on July 17-19, the weekend after the completion of Wimbledon. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6631\": \"Who didn't keep the Davis cup on the Sunday of the report?\"\n },\n {\n \"6632\": \"Who did he lose to?\"\n },\n {\n \"6633\": \"Whee was the match?\"\n },\n {\n \"6634\": \"And what country does Andy Murry represent?\"\n },\n {\n \"6635\": \"Who played in the second-longest singles match in history?\"\n },\n {\n \"6636\": \"How long was the match?\"\n },\n {\n \"6637\": \"What coutries did those competitors represent?\"\n },\n {\n \"6638\": \"Who had an 11 hour match at Wiblteton in 2010?\"\n },\n {\n \"6639\": \"What did the British team celebrate in Glasgow?\"\n },\n {\n \"6640\": \"Who won their first set 6-3 which match will resume as of this report?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6631\",\n \"answer\": \"John Isner\"\n },\n {\n \"question_id\": \"6632\",\n \"answer\": \"Andy Murray\"\n },\n {\n \"question_id\": \"6633\",\n \"answer\": \"Scotland\"\n },\n {\n \"question_id\": \"6634\",\n \"answer\": \"Britian\"\n },\n {\n \"question_id\": \"6635\",\n \"answer\": \"Leonardo Mayer and Joao Souza\"\n },\n {\n \"question_id\": \"6636\",\n \"answer\": \"six hour and 43 minutes\"\n },\n {\n \"question_id\": \"6637\",\n \"answer\": \"Switzerland and the Czech Republic\"\n },\n {\n \"question_id\": \"6638\",\n \"answer\": \"Nicolas Mahut\"\n },\n {\n \"question_id\": \"6639\",\n \"answer\": \"home quarterfinal clash\"\n },\n {\n \"question_id\": \"6640\",\n \"answer\": \"Delbonis\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Imagine what you could do with a machine that could make things disappear. \n\nFor inspiration, you could read some books. In the books of J.R.R. Tolkein, Bilbo Baggins finds a ring that can make him disappear. Of course, there's also poor Harry Potter, who used his invisibility cloak to hide from danger. \n\nNow that you've got some ideas, it's time for the hard part: building the cloak. To do that, you have to give up science fiction and turn to real science. An invisibility cloak has to cheat anything or anyone who might be watching. In order to understand how something can be seen, it's important to understand how we see. \n\nHuman beings can only see objects that reflect light waves. These waves enter the eye and are then processed by the brain. However, if an object doesn't reflect light, then the waves don't enter the eye, and the brain doesn't process. So building an invisibility cloak is building something that doesn't reflect light. \n\nCummer was part of a team of scientists from Duke University, including David Smith and David Schurig, who built the world's first version of an invisibility cloak. They had been inspired by the work of a British physicist, John Pendry. He in May said that an invisibility cloak was possible and Pendry was not the only one thinking about a disappearing act. At the same time, a Scottish physicist, UIf Leonhardt published a paper on building invisibility equipment. \n\n\"It wasn't easy,\" says Cummer. \"As often happens in science and research, it didn't work very well the first time. That first cloak didn't work like Harry Potter's --- the scientists didn't actually see anything disappear. So the research is still under way. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98795\": \"what are people trying to build?\"\n },\n {\n \"98796\": \"who tried to build the first one?\"\n },\n {\n \"98797\": \"how many in the group?\"\n },\n {\n \"98798\": \"were they named in the story?\"\n },\n {\n \"98799\": \"what are the names of two of them?\"\n },\n {\n \"98800\": \"who's work served as the inspiration for their project?\"\n },\n {\n \"98801\": \"what novelist is mentioned?\"\n },\n {\n \"98802\": \"what is the name of one of his characters?\"\n },\n {\n \"98803\": \"what did he find?\"\n },\n {\n \"98804\": \"did it do anything?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98795\",\n \"answer\": \"an invisibility cloak\"\n },\n {\n \"question_id\": \"98796\",\n \"answer\": \"a team of scientists from Duke\"\n },\n {\n \"question_id\": \"98797\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"98798\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98799\",\n \"answer\": \"David Smith and David Schurig\"\n },\n {\n \"question_id\": \"98800\",\n \"answer\": \"Harry Potter\"\n },\n {\n \"question_id\": \"98801\",\n \"answer\": \"J.R.R. Tolkein\"\n },\n {\n \"question_id\": \"98802\",\n \"answer\": \"Bilbo Baggins\"\n },\n {\n \"question_id\": \"98803\",\n \"answer\": \"A ring\"\n },\n {\n \"question_id\": \"98804\",\n \"answer\": \"make him disappear\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII \n\nTHE NEW DECK HAND \n\nHaving said so much, Peter Slade seemed more inclined to talk, one reason being that he wanted to get at the bottom of the mystery which had brought Tad Sobber and his uncle to that part of the globe. Tad had hinted of great wealth, and of getting the best of the Rovers and some other people, but had not gone into any details. \n\nPeter said he had come to Nassau to join his mother, who was stopping there for her health. His father was coming on later, and then the family was going across the ocean. \n\n\"I know there is something up between your crowd and the Merrick crowd,\" said the youth. \"You are both after something, ain't you?\" \n\n\"Yes,\" answered Tom. \n\n\"What?\" \n\n\"I can't tell you that, Slade. It's something quite valuable, though.\" \n\n\"Well, I guess Sobber's uncle will get ahead of you.\" \n\n\"Perhaps so. What is the name of the tramp steamer he is looking for?\" \n\n\"The _Josephine_.\" \n\n\"Was she to be here?\" \n\n\"They hoped she would be.\" \n\n\"Were they going to hire her?\" asked Sam. \n\n\"I suppose so.\" \n\n\"Then Merrick had money.\" \n\n\"Yes, he had some, and that Spaniard had some, too.\" \n\nA little more conversation followed, and then the Rover boys asked Slade where he was going to stop, and said they might see him later. \n\n\"This is mighty interesting,\" remarked Tom, as he and his brother hurried to their hotel. \"We must tell father of this without delay.\" \n\nBut Mr. Rover could not be found until that evening, when the party came back from the visit to the flower gardens. He listened with deep interest to what was said, and then went off on a hunt for Sid Merrick and the tramp steamer _Josephine_ without delay. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7256\": \"What brought Tad and his uncle?\"\n },\n {\n \"7257\": \"What had Tad alluded to?\"\n },\n {\n \"7258\": \"and?\"\n },\n {\n \"7259\": \"Who was there for his mom?\"\n },\n {\n \"7260\": \"Was his father there?\"\n },\n {\n \"7261\": \"Was he going to be\"\n },\n {\n \"7262\": \"Is Tom open with Slade about his intentions?\"\n },\n {\n \"7263\": \"Who had money?\"\n },\n {\n \"7264\": \"and?\"\n },\n {\n \"7265\": \"Was Mr. Rover around at the time?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7256\",\n \"answer\": \"A mystery\"\n },\n {\n \"question_id\": \"7257\",\n \"answer\": \"Great wealth\"\n },\n {\n \"question_id\": \"7258\",\n \"answer\": \"And of getting the best of the Rovers and some other people\"\n },\n {\n \"question_id\": \"7259\",\n \"answer\": \"Peter\"\n },\n {\n \"question_id\": \"7260\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7261\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"7262\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7263\",\n \"answer\": \"Merrick\"\n },\n {\n \"question_id\": \"7264\",\n \"answer\": \"And Spaniard had some, too\"\n },\n {\n \"question_id\": \"7265\",\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 XIV \n\nWILLIAM BENT PITMAN HEARS OF SOMETHING TO HIS ADVANTAGE \n\nOn the morning of Sunday, William Dent Pitman rose at his usual hour, although with something more than the usual reluctance. The day before (it should be explained) an addition had been made to his family in the person of a lodger. Michael Finsbury had acted sponsor in the business, and guaranteed the weekly bill; on the other hand, no doubt with a spice of his prevailing jocularity, he had drawn a depressing portrait of the lodger's character. Mr. Pitman had been led to understand his guest was not good company; he had approached the gentleman with fear, and had rejoiced to find himself the entertainer of an angel. At tea he had been vastly pleased; till hard on one in the morning he had sat entranced by eloquence and progressively fortified with information in the studio; and now, as he reviewed over his toilet the harmless pleasures of the evening, the future smiled upon him with revived attractions. \"Mr. Finsbury is indeed an acquisition,\" he remarked to himself; and as he entered the little parlour, where the table was already laid for breakfast, the cordiality of his greeting would have befitted an acquaintanceship already old. \n\n\"I am delighted to see you, sir\"--these were his expressions--\"and I trust you have slept well.\" \n\n\"Accustomed as I have been for so long to a life of almost perpetual change,\" replied the guest, \"the disturbance so often complained of by the more sedentary, as attending their first night in (what is called) a new bed, is a complaint from which I am entirely free.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25358\": \"what happened the day before?\"\n },\n {\n \"25359\": \"what did Pitman think about the lodger?\"\n },\n {\n \"25360\": \"did he change his mind about him?\"\n },\n {\n \"25361\": \"what is the story about?\"\n },\n {\n \"25362\": \"what day does it take place?\"\n },\n {\n \"25363\": \"did he wake up at usual time?\"\n },\n {\n \"25364\": \"what was different this morning?\"\n },\n {\n \"25365\": \"what did he say to himself about Finsbury?\"\n },\n {\n \"25366\": \"what was on the table when he entered?\"\n },\n {\n \"25367\": \"what room was this in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25358\",\n \"answer\": \"an addition had been made\"\n },\n {\n \"question_id\": \"25359\",\n \"answer\": \"more than the usual reluctance.\"\n },\n {\n \"question_id\": \"25360\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25361\",\n \"answer\": \"WILLIAM BENT PITMAN HEARS OF SOMETHING TO HIS ADVANTAGE\"\n },\n {\n \"question_id\": \"25362\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"25363\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25364\",\n \"answer\": \"more than the usual reluctance.\"\n },\n {\n \"question_id\": \"25365\",\n \"answer\": \"Mr. Finsbury is indeed an acquisition,\"\n },\n {\n \"question_id\": \"25366\",\n \"answer\": \"breakfast\"\n },\n {\n \"question_id\": \"25367\",\n \"answer\": \"the little parlour,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 II \n\nAT THE CAFÉ MONTMARTRE \n\nExactly a week later, at five minutes after midnight, Guy Poynton, in evening dress, entered the Café Montmartre, in Paris. He made his way through the heterogeneous little crowd of men and women who were drinking at the bar, past the scarlet-coated orchestra, into the inner room, where the tables were laid for supper. Monsieur Albert, satisfied with the appearance of his new client, led him at once to a small table, submitted the wine card, and summoned a waiter. With some difficulty, as his French was very little better than his German, he ordered supper, and then lighting a cigarette, leaned back against the wall and looked around to see if he could discover any English or Americans. \n\nThe room was only moderately full, for the hour was a little early for this quarter of Paris. Nevertheless, he was quick to appreciate a certain spirit of Bohemianism which pleased him. Every one talked to his neighbor. An American from the further end of the room raised his glass and drank his health. A pretty fair-haired girl leaned over from her table and smiled at him. \n\n\"Monsieur like talk with me, eh?\" \n\n\"English?\" he asked. \n\n\"No. De Wien!\" \n\nHe shook his head smilingly. \n\n\"We shouldn't get on,\" he declared. \"Can't speak the language.\" \n\nShe raised her eyebrows with a protesting gesture, but he looked away and opened an illustrated paper by his side. He turned over the pages idly enough at first, but suddenly paused. He whistled softly to himself and stared at the two photographs which filled the sheet. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86817\": \"Where did Guy Poynton enter into?\"\n },\n {\n \"86818\": \"Who did he make his way past?\"\n },\n {\n \"86819\": \"How full was the room?\"\n },\n {\n \"86820\": \"What kind of spirit did the setting have that he enjoyed?\"\n },\n {\n \"86821\": \"Where was the Cafe located?\"\n },\n {\n \"86822\": \"Who was it that smiled at him?\"\n },\n {\n \"86823\": \"Was he profiecient in speaking french?\"\n },\n {\n \"86824\": \"What was it that he had trouble doing becuase this?\"\n },\n {\n \"86825\": \"Who was in the crowd he passed when he first entered the cafe?\"\n },\n {\n \"86826\": \"Why did he think he shouldn't k carry on speaking with the fair haired girl?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86817\",\n \"answer\": \"Caf\\u00e9 Montmartre\"\n },\n {\n \"question_id\": \"86818\",\n \"answer\": \"crowd\"\n },\n {\n \"question_id\": \"86819\",\n \"answer\": \"moderately\"\n },\n {\n \"question_id\": \"86820\",\n \"answer\": \"Bohemianism\"\n },\n {\n \"question_id\": \"86821\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"86822\",\n \"answer\": \"A girl\"\n },\n {\n \"question_id\": \"86823\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86824\",\n \"answer\": \"speaking the language\"\n },\n {\n \"question_id\": \"86825\",\n \"answer\": \"men and women\"\n },\n {\n \"question_id\": \"86826\",\n \"answer\": \"Can't speak the language\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nI \n\nIN three years of exile from herself Carol had certain experiences chronicled as important by the Dauntless, or discussed by the Jolly Seventeen, but the event unchronicled, undiscussed, and supremely controlling, was her slow admission of longing to find her own people. \n\nII \n\nBea and Miles Bjornstam were married in June, a month after \"The Girl from Kankakee.\" Miles had turned respectable. He had renounced his criticisms of state and society; he had given up roving as horse-trader, and wearing red mackinaws in lumber-camps; he had gone to work as engineer in Jackson Elder's planing-mill; he was to be seen upon the streets endeavoring to be neighborly with suspicious men whom he had taunted for years. \n\nCarol was the patroness and manager of the wedding. Juanita Haydock mocked, \"You're a chump to let a good hired girl like Bea go. Besides! How do you know it's a good thing, her marrying a sassy bum like this awful Red Swede person? Get wise! Chase the man off with a mop, and hold onto your Svenska while the holding's good. Huh? Me go to their Scandahoofian wedding? Not a chance!\" \n\nThe other matrons echoed Juanita. Carol was dismayed by the casualness of their cruelty, but she persisted. Miles had exclaimed to her, \"Jack Elder says maybe he'll come to the wedding! Gee, it would be nice to have Bea meet the Boss as a reg'lar married lady. Some day I'll be so well off that Bea can play with Mrs. Elder--and you! Watch us!\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55678\": \"Who was married in June?\"\n },\n {\n \"55679\": \"Who was married a month before?\"\n },\n {\n \"55680\": \"What did Miles give up?\"\n },\n {\n \"55681\": \"Anything else?\"\n },\n {\n \"55682\": \"And?\"\n },\n {\n \"55683\": \"What did he do instead?\"\n },\n {\n \"55684\": \"Where?\"\n },\n {\n \"55685\": \"Who was the patroness of the wedding?\"\n },\n {\n \"55686\": \"Who did Haydock call a sassy bum?\"\n },\n {\n \"55687\": \"Did Haydock like him?\"\n },\n {\n \"55688\": \"What did she recommend Carol do to him?\"\n },\n {\n \"55689\": \"Anything else?\"\n },\n {\n \"55690\": \"Is Haydock planning to attend the wedding?\"\n },\n {\n \"55691\": \"Did the other matrons agree with Juanita?\"\n },\n {\n \"55692\": \"How many years was Carol in exile?\"\n },\n {\n \"55693\": \"From what?\"\n },\n {\n \"55694\": \"What was recorded as important by the Dauntless?\"\n },\n {\n \"55695\": \"What event was not chronicled?\"\n },\n {\n \"55696\": \"Did Jack Elder say he might come to the wedding?\"\n },\n {\n \"55697\": \"Did Elder approve of Bea's wedding?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55678\",\n \"answer\": \"Bea and Miles Bjornstam\"\n },\n {\n \"question_id\": \"55679\",\n \"answer\": \"\\\"The Girl from Kankakee\\\"\"\n },\n {\n \"question_id\": \"55680\",\n \"answer\": \"criticisms of state and society\"\n },\n {\n \"question_id\": \"55681\",\n \"answer\": \"roving as horse-trader\"\n },\n {\n \"question_id\": \"55682\",\n \"answer\": \"wearing red mackinaws in lumber-camps\"\n },\n {\n \"question_id\": \"55683\",\n \"answer\": \"gone to work as engineer\"\n },\n {\n \"question_id\": \"55684\",\n \"answer\": \"Jackson Elder's planing-mill\"\n },\n {\n \"question_id\": \"55685\",\n \"answer\": \"Carol\"\n },\n {\n \"question_id\": \"55686\",\n \"answer\": \"Red Swede\"\n },\n {\n \"question_id\": \"55687\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55688\",\n \"answer\": \"chase him off with a mop\"\n },\n {\n \"question_id\": \"55689\",\n \"answer\": \"hold onto her Svenska\"\n },\n {\n \"question_id\": \"55690\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55691\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55692\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"55693\",\n \"answer\": \"herself\"\n },\n {\n \"question_id\": \"55694\",\n \"answer\": \"Carol's experiences\"\n },\n {\n \"question_id\": \"55695\",\n \"answer\": \"Carol's slow admission of longing to find her own people\"\n },\n {\n \"question_id\": \"55696\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55697\",\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 He came to power by uniting many of the nomadic tribes of Northeast Asia. After founding the Mongol Empire and being proclaimed \"Genghis Khan\", he started the Mongol invasions that resulted in the conquest of most of Eurasia. These included raids or invasions of the Qara Khitai, Caucasus, Khwarezmid Empire, Western Xia and Jin dynasties. These campaigns were often accompanied by wholesale massacres of the civilian populations – especially in the Khwarezmian and Xia controlled lands. By the end of his life, the Mongol Empire occupied a substantial portion of Central Asia and China. \n\nBefore Genghis Khan died, he assigned Ögedei Khan as his successor and split his empire into khanates among his sons and grandsons. He died in 1227 after defeating the Western Xia. He was buried in an unmarked grave somewhere in Mongolia at an unknown location. His descendants extended the Mongol Empire across most of Eurasia by conquering or creating vassal states out of all of modern-day China, Korea, the Caucasus, Central Asia, and substantial portions of modern Eastern Europe, Russia, and Southwest Asia. Many of these invasions repeated the earlier large-scale slaughters of local populations. As a result, Genghis Khan and his empire have a fearsome reputation in local histories.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47980\": \"Who founded the Mongol Empire?\"\n },\n {\n \"47981\": \"Who did he assign to take over after he died?\"\n },\n {\n \"47982\": \"How did Khan come to power?\"\n },\n {\n \"47983\": \"Where did the Mongols raid?\"\n },\n {\n \"47984\": \"Were they nice to the civilians?\"\n },\n {\n \"47985\": \"When did the founder of the Mongol Empire pass away?\"\n },\n {\n \"47986\": \"After doing what?\"\n },\n {\n \"47987\": \"Who did he defeat shortly before dying?\"\n },\n {\n \"47988\": \"Where was he laid to rest?\"\n },\n {\n \"47989\": \"What is the Mongol's reputation in history?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47980\",\n \"answer\": \"Genghis Khan\"\n },\n {\n \"question_id\": \"47981\",\n \"answer\": \"\\u00d6gedei Khan\"\n },\n {\n \"question_id\": \"47982\",\n \"answer\": \"by uniting many of the nomadic tribes of Northeast Asia\"\n },\n {\n \"question_id\": \"47983\",\n \"answer\": \"the Qara Khitai, Caucasus, Khwarezmid Empire, Western Xia and Jin dynasties\"\n },\n {\n \"question_id\": \"47984\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47985\",\n \"answer\": \"in 1227\"\n },\n {\n \"question_id\": \"47986\",\n \"answer\": \"after assigning \\u00d6gedei Khan as his successor and splitting his empire into khanates among his sons and grandsons\"\n },\n {\n \"question_id\": \"47987\",\n \"answer\": \"the Western Xia\"\n },\n {\n \"question_id\": \"47988\",\n \"answer\": \"in an unmarked grave somewhere in Mongolia at an unknown location\"\n },\n {\n \"question_id\": \"47989\",\n \"answer\": \"they had a fearsome reputation\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mark and his brother Jason both were looking at the shining new computer enviously. Jason was determined not to go against their father's wishes but Mark was more adventurous than his brother. He loved experimenting and his aim was to become a scientist like his father. \n\n\"Dad will be really mad if he finds out you've been playing with his new computer.\" Jason said, \"He told us not to touch it.\" \n\n\"He won't find out.\" Mark said, \"I'll just have a quick look and shut it down.\" \n\nMark had been scolded before for touching his father's equipment. But his curiosity was difficult to control and this new computer really puzzled him. \n\nIt was a strange-looking machine -one his dad had brought home from the laboratory where he worked. \"It's an experimental model,\" his father had explained, \"so don't touch it under any circumstances.\" But his warning only served to make Mark more curious. Without any further thought, Mark turned on the power switch. The computer burst into life and seconds later, the screen turned into color1s, shifting and changing and then two big white words appeared in the center of the screen: \"SPACE TRANSPORTER.\" \n\n\"Yes!\" Mark cried excitedly, \"It's a computer game. I knew it! Dad's only been pretending to work. He's really been playing games instead.\" A new message appeared on the screen: \n\nENTER NAMES \n\nVOYAGER 1: ... VOYAGER 2: ... \n\nMark's fingers flew across the keyboard as he typed in both of their names. \n\nINPUT ACCEPTED. START TRANSPORT PROGRAM. AUTO-RETRIEVE INITIATED \n\nThe screen turned even brighter and a noise suddenly rose in volume. \n\n\"I think we'd better shut it off, Mark,\" Jason yelled, reaching for the power switch. He was really frightened. \n\nBut his hand never reached the switch. A single beam of dazzling white light burst out of the computer screen, wrapping the boys in its glow , until they themselves seemed to be glowing. Then it died down just as suddenly as it had burst into life. And the boys were no longer there. On the screen, the letters changed. \n\nTRANSPORT SUCCESSFUL. DESTINATION: MARS. RETRIEVE DATE: 2025.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51846\": \"Who was going to be upset about something?\"\n },\n {\n \"51847\": \"About what?\"\n },\n {\n \"51848\": \"Did Jason encourage Mark to play with it?\"\n },\n {\n \"51849\": \"What did he tell his brother?\"\n },\n {\n \"51850\": \"Had Mark ever disobeyed before?\"\n },\n {\n \"51851\": \"So why was he doing so again?\"\n },\n {\n \"51852\": \"Did Dad buy the Computer at Best Buy?\"\n },\n {\n \"51853\": \"Where did he get it?\"\n },\n {\n \"51854\": \"What was on the screen when he turned it on?\"\n },\n {\n \"51855\": \"Did the computer ask for any information?\"\n },\n {\n \"51856\": \"What did it request?\"\n },\n {\n \"51857\": \"Did Jason think it was a game?\"\n },\n {\n \"51858\": \"Who did?\"\n },\n {\n \"51859\": \"Did anything happen when the names were entered?\"\n },\n {\n \"51860\": \"Did the room grow dark and quiet?\"\n },\n {\n \"51861\": \"Was it loud?\"\n },\n {\n \"51862\": \"Did this scare anyone?\"\n },\n {\n \"51863\": \"Who?\"\n },\n {\n \"51864\": \"What did he want to do?\"\n },\n {\n \"51865\": \"WAs he able to do that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51846\",\n \"answer\": \"Dad\"\n },\n {\n \"question_id\": \"51847\",\n \"answer\": \"About the children playing with the computer\"\n },\n {\n \"question_id\": \"51848\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51849\",\n \"answer\": \"His dad told them not to touch it\"\n },\n {\n \"question_id\": \"51850\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51851\",\n \"answer\": \"His curiosity was difficult to control\"\n },\n {\n \"question_id\": \"51852\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51853\",\n \"answer\": \"From the laboratory where he worked\"\n },\n {\n \"question_id\": \"51854\",\n \"answer\": \"The words \\\"SPACE TRANSPORTER.\\\"\"\n },\n {\n \"question_id\": \"51855\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51856\",\n \"answer\": \"Enter Names\"\n },\n {\n \"question_id\": \"51857\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51858\",\n \"answer\": \"Mark\"\n },\n {\n \"question_id\": \"51859\",\n \"answer\": \"A message of \\\"INPUT ACCEPTED. START TRANSPORT PROGRAM. AUTO-RETRIEVE INITIATED\\\" came on screen\"\n },\n {\n \"question_id\": \"51860\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"51861\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51862\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51863\",\n \"answer\": \"Jason\"\n },\n {\n \"question_id\": \"51864\",\n \"answer\": \"To shut it off\"\n },\n {\n \"question_id\": \"51865\",\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 VIII \n\nTHE SEARCH FOR DICK \n\n\"Dick is taking his time, that's certain.\" \n\nThe remark came from Sam, after the boys who had been left in the alleyway had waited the best part of half an hour for the elder Rover's reappearance. \n\n\"Perhaps he has found something of interest,\" suggested Frank. \n\n\"And perhaps he has fallen into a trap,\" put In Tom. \"I've a good mind to hunt him up.\" \n\n\"If you go I'll go with you,\" said Sam. \n\n\"I don't want to be left out here alone,\" said Frank. \"Let us wait a little longer.\" \n\nThe best part of an hour passed, but of course nothing was seen or heard of Dick. \n\n\"I shan't wait any longer,\" began Tom, when they saw the front door of the tenement opened and two men hurried forth. Both had their hats pulled far down over their eyes and had their coat collars turned up, even though the night was warm. \n\n\"Out of sight!\" cried Sam in a low voice, and they dropped down behind the stoop of the second tenement. \n\n\"One of those men was Buddy Girk!\" ejaculated Tom, when the pair had passed up the alleyway. \n\n\"And don't you know who the other was?\" demanded Sam. \"It was Dan Baxter's father!\" \n\n\"Impossible, Sam. Arnold Baxter is in the hospital, and--\" \n\n\"It was Dan Baxter's father, as true as I'm born, Tom. No wonder he walked with a cane! Am I not right, Frank?\" \n\n\"I don't know, I'm sure I don't remember Dan's father. But that was Buddy Girk, beyond a doubt.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78652\": \"Who made the comment?\"\n },\n {\n \"78653\": \"Who was he referring to?\"\n },\n {\n \"78654\": \"What the boys did?\"\n },\n {\n \"78655\": \"For whom?\"\n },\n {\n \"78656\": \"Is he absent for sometimes?\"\n },\n {\n \"78657\": \"What was Sam's assessment of that?\"\n },\n {\n \"78658\": \"Did Frank follow suit?\"\n },\n {\n \"78659\": \"Who are the other fellows?\"\n },\n {\n \"78660\": \"Did they mistake somone for another person?\"\n },\n {\n \"78661\": \"Who was that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78652\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"78653\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"78654\",\n \"answer\": \"They waited\"\n },\n {\n \"question_id\": \"78655\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"78656\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78657\",\n \"answer\": \"He was taking his time\"\n },\n {\n \"question_id\": \"78658\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78659\",\n \"answer\": \"Tom and Frank\"\n },\n {\n \"question_id\": \"78660\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78661\",\n \"answer\": \"Arnold Baxter\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Paramount Pictures Corporation (also known simply as Paramount) is an American film studio based in Hollywood, California, that has been a subsidiary of the American media conglomerate Viacom since 1994. Paramount is the fifth oldest surviving film studio in the world, the second oldest in the United States, and the sole member of the \"Big Six\" film studios still located in the Los Angeles neighborhood of Hollywood. In 1916, film producer Adolph Zukor contracted 22 actors and actresses and honored each with a star on the logo. These fortunate few would become the first \"movie stars.\" In 2014, Paramount Pictures became the first major Hollywood studio to distribute all of its films in digital form only. \n\nParamount Pictures is a member of the Motion Picture Association of America (MPAA). \n\nThe company's headquarters and studios are located in 5555 Melrose Avenue, Hollywood, California, United States. \n\nParamount is the fifth oldest surviving film studio in the world after the French studios Gaumont Film Company (1895) and Pathé (1896), followed by the Nordisk Film company (1906), and Universal Studios (1912). It is the last major film studio still headquartered in the Hollywood district of Los Angeles. \n\nParamount Pictures dates its existence from the 1912 founding date of the Famous Players Film Company. Hungarian-born founder, Adolph Zukor, who had been an early investor in nickelodeons, saw that movies appealed mainly to working-class immigrants. With partners Daniel Frohman and Charles Frohman he planned to offer feature-length films that would appeal to the middle class by featuring the leading theatrical players of the time (leading to the slogan \"Famous Players in Famous Plays\"). By mid-1913, Famous Players had completed five films, and Zukor was on his way to success. Its first film was \"Les Amours de la reine Élisabeth\", which starred Sarah Bernhardt.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42003\": \"What is a subsiiary of Viacom?\"\n },\n {\n \"42004\": \"Is there a shoter name?\"\n },\n {\n \"42005\": \"what is it?\"\n },\n {\n \"42006\": \"What is Paramount?\"\n },\n {\n \"42007\": \"where is it?\"\n },\n {\n \"42008\": \"and they are a member of what?\"\n },\n {\n \"42009\": \"any other memberships mentioned?\"\n },\n {\n \"42010\": \"what?\"\n },\n {\n \"42011\": \"Who was an investor in nickelodeons?\"\n },\n {\n \"42012\": \"where was he from?\"\n },\n {\n \"42013\": \"What significance does 1912 have?\"\n },\n {\n \"42014\": \"How many actors and actresses were contracted in 1916?\"\n },\n {\n \"42015\": \"who did this?\"\n },\n {\n \"42016\": \"what was his occupation at the time?\"\n },\n {\n \"42017\": \"What do the stars on the logo represent?\"\n },\n {\n \"42018\": \"these would become the first what?\"\n },\n {\n \"42019\": \"What did Paramount do in 2014?\"\n },\n {\n \"42020\": \"Are many major film studios in Los Angeles?\"\n },\n {\n \"42021\": \"how many?\"\n },\n {\n \"42022\": \"which one?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42003\",\n \"answer\": \"Paramount Pictures Corporation\"\n },\n {\n \"question_id\": \"42004\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42005\",\n \"answer\": \"Paramount\"\n },\n {\n \"question_id\": \"42006\",\n \"answer\": \"American film studio\"\n },\n {\n \"question_id\": \"42007\",\n \"answer\": \"Hollywood, California\"\n },\n {\n \"question_id\": \"42008\",\n \"answer\": \"the \\\"Big Six\\\"\"\n },\n {\n \"question_id\": \"42009\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42010\",\n \"answer\": \"Motion Picture Association of America (MPAA).\"\n },\n {\n \"question_id\": \"42011\",\n \"answer\": \"Adolph Zukor\"\n },\n {\n \"question_id\": \"42012\",\n \"answer\": \"Hungary\"\n },\n {\n \"question_id\": \"42013\",\n \"answer\": \"the founding date of the Famous Players Film Company.\"\n },\n {\n \"question_id\": \"42014\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"42015\",\n \"answer\": \"Adolph Zukor\"\n },\n {\n \"question_id\": \"42016\",\n \"answer\": \"film producer\"\n },\n {\n \"question_id\": \"42017\",\n \"answer\": \"the original 22 actors and actresses\"\n },\n {\n \"question_id\": \"42018\",\n \"answer\": \"\\\"movie stars.\\\"\"\n },\n {\n \"question_id\": \"42019\",\n \"answer\": \"Paramount Pictures became the first major Hollywood studio to distribute all of its films in digital form only.\"\n },\n {\n \"question_id\": \"42020\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"42021\",\n \"answer\": \"Just one\"\n },\n {\n \"question_id\": \"42022\",\n \"answer\": \"Paramount\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hong Kong (CNN) -- Not your average great-great grandfather, Fauja Singh has completed nine 26-mile (42-kilometer) marathons since taking up long-distance running just over a decade ago. \n\nOn Sunday, the 101-year-old Sikh finished his final competitive race in Hong Kong, putting an end to a sporting career that has raised thousands of dollars for charity and been an inspiration to many around the world. \n\nNicknamed \"Turbaned Tornado\" by fans for his distinctive traditional headwear, Singh said he began long-distance running in an attempt to lift the depression that engulfed him after he witnessed the death of his son. \n\n\"I suffered a tragic incident in my life, a traumatic experience; I took up running as a new focus in life. And then marathon running developed from there,\" he told CNN at a training session before Sunday's race. \n\nHe completed the 10-kilometer route that wound its way along Hong Kong's harborfront in one hour 32 minutes and 28 seconds -- four minutes faster than his time last year despite a small stumble. \n\n\"Five or six kilometers into the race, I really decided to go for it,\" he said. \"I had lots of power today because I was very happy. \" \n\nSingh moved to the UK from India following the death of his son and entered his first marathon in London in 2000 aged 89. \n\nIn 2011, Singh became the first centenarian on record to complete a marathon after finishing the Toronto Waterfront Marathon in 2011 in eight hours and 11 minutes and six seconds. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40848\": \"How old is Fauja Singh\"\n },\n {\n \"40849\": \"How many marathons has he completed?\"\n },\n {\n \"40850\": \"What is his nickname?\"\n },\n {\n \"40851\": \"Why did he start running?\"\n },\n {\n \"40852\": \"how long was today's run?\"\n },\n {\n \"40853\": \"How long did he take to complete it?\"\n },\n {\n \"40854\": \"Was he faster or slower then last year?\"\n },\n {\n \"40855\": \"How much faster?\"\n },\n {\n \"40856\": \"How old was he for his first Marathon?\"\n },\n {\n \"40857\": \"What year did he become the first centenarian to complete a run?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40848\",\n \"answer\": \"101\"\n },\n {\n \"question_id\": \"40849\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"40850\",\n \"answer\": \"Turbaned Tornado\"\n },\n {\n \"question_id\": \"40851\",\n \"answer\": \"attempt to lift depression\"\n },\n {\n \"question_id\": \"40852\",\n \"answer\": \"10-kilometer\"\n },\n {\n \"question_id\": \"40853\",\n \"answer\": \"one hour 32 minutes and 28 seconds\"\n },\n {\n \"question_id\": \"40854\",\n \"answer\": \"faster\"\n },\n {\n \"question_id\": \"40855\",\n \"answer\": \"four minutes\"\n },\n {\n \"question_id\": \"40856\",\n \"answer\": \"89\"\n },\n {\n \"question_id\": \"40857\",\n \"answer\": \"2011\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Online Mendelian Inheritance in Man (OMIM) is a continuously updated catalog of human genes and genetic disorders and traits, with a particular focus on the gene-phenotype relationship. , approximately 8,425 of the over 23,000 entries in OMIM represented phenotypes; the rest represented genes, many of which were related to known phenotypes. \n\nOMIM is the online continuation of Dr. Victor McKusick's \"Mendelian Inheritance in Man\" (MIM), which was published in 12 editions between 1966 and 1998. Nearly all of the 1,486 entries in the first edition of MIM discussed phenotypes. \n\nMIM/OMIM is produced and curated at the Johns Hopkins University School of Medicine (JHUSOM). OMIM became available on the internet in 1987 under the direction of the Welch Medical Library at JHUSOM with financial support from the Howard Hughes Medical Institute. From 1995 to 2010, OMIM was available on the World Wide Web with informatics and financial support from the National Center for Biotechnology Information. The current OMIM website (OMIM.org), which was developed with funding from JHUSOM, is maintained by Johns Hopkins University with financial support from the National Human Genome Research Institute. \n\nThe content of MIM/OMIM is based on selection and review of the published peer-reviewed biomedical literature. Updating of content is performed by a team of science writers and curators under the direction of Dr. Ada Hamosh at the McKusick-Nathans Institute of Genetic Medicine of Johns Hopkins University. While OMIM is freely available to the public, it is designed for use primarily by physicians and other health care professionals concerned with genetic disorders, by genetics researchers, and by advanced students in science and medicine.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51492\": \"what is the article about?\"\n },\n {\n \"51493\": \"does that stand for something?\"\n },\n {\n \"51494\": \"what?\"\n },\n {\n \"51495\": \"what is that?\"\n },\n {\n \"51496\": \"of what?\"\n },\n {\n \"51497\": \"who runs it?\"\n },\n {\n \"51498\": \"does it have a www site?\"\n },\n {\n \"51499\": \"what is it?\"\n },\n {\n \"51500\": \"who is the doctor mentioned?\"\n },\n {\n \"51501\": \"what does she do?\"\n },\n {\n \"51502\": \"who does she work for?\"\n },\n {\n \"51503\": \"where is that?\"\n },\n {\n \"51504\": \"does this catalog continue something else?\"\n },\n {\n \"51505\": \"what?\"\n },\n {\n \"51506\": \"what does that stand for?\"\n },\n {\n \"51507\": \"who started that?\"\n },\n {\n \"51508\": \"when was it first released?\"\n },\n {\n \"51509\": \"is it still in publication?\"\n },\n {\n \"51510\": \"when was it's last publication date?\"\n },\n {\n \"51511\": \"how many publications were there in total?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51492\",\n \"answer\": \"OMIM\"\n },\n {\n \"question_id\": \"51493\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51494\",\n \"answer\": \"Online Mendelian Inheritance in Man\"\n },\n {\n \"question_id\": \"51495\",\n \"answer\": \"a continuously updated catalog\"\n },\n {\n \"question_id\": \"51496\",\n \"answer\": \"human genes and genetic disorders and traits\"\n },\n {\n \"question_id\": \"51497\",\n \"answer\": \"the Johns Hopkins University School of Medicine\"\n },\n {\n \"question_id\": \"51498\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51499\",\n \"answer\": \"OMIM.org\"\n },\n {\n \"question_id\": \"51500\",\n \"answer\": \"Dr. Ada Hamosh\"\n },\n {\n \"question_id\": \"51501\",\n \"answer\": \"directs content for MIM/OMIM\"\n },\n {\n \"question_id\": \"51502\",\n \"answer\": \"the McKusick-Nathans Institute of Genetic Medicine\"\n },\n {\n \"question_id\": \"51503\",\n \"answer\": \"Johns Hopkins University\"\n },\n {\n \"question_id\": \"51504\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"51505\",\n \"answer\": \"MIM\"\n },\n {\n \"question_id\": \"51506\",\n \"answer\": \"Mendelian Inheritance in Man\"\n },\n {\n \"question_id\": \"51507\",\n \"answer\": \"Dr. Victor McKusick's\"\n },\n {\n \"question_id\": \"51508\",\n \"answer\": \"1966\"\n },\n {\n \"question_id\": \"51509\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"51510\",\n \"answer\": \"1998\"\n },\n {\n \"question_id\": \"51511\",\n \"answer\": \"12\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 St. Louis Cardinals are an American professional baseball team based in St. Louis, Missouri. The Cardinals compete in Major League Baseball (MLB) as a member club of the National League (NL) Central division. Busch Stadium has been their home ballpark since 2006. With origins as one of the early professional baseball clubs in St. Louis, entrepreneur Chris von der Ahe purchased a barnstorming club in 1881, then known as the Brown Stockings, and established them as charter members of the American Association (AA) the following season. Upon the discontinuation of the AA, St. Louis joined the NL in 1892; at that time, they were called the Browns and the Perfectos before they were officially renamed as the Cardinals in 1900. \n\nOne of the most successful franchises in baseball history, the Cardinals have won 11 World Series championships, the second-most in Major League Baseball and most in the National League. Their 19 National League pennants rank third in NL history. In addition, St. Louis has won 13 division titles in the East and Central divisions. While still in the AA, St. Louis won four league championships, qualifying them to play in a forerunner of the World Series. They tied in 1885 and won outright in 1886, both times against Chicago, in the first meetings of the Cardinals–Cubs rivalry that continues to this day.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65260\": \"what was the very first name of the team?\"\n },\n {\n \"65261\": \"when did they get the name Cardinals?\"\n },\n {\n \"65262\": \"who was the early mentioned owner?\"\n },\n {\n \"65263\": \"when did he buy them?\"\n },\n {\n \"65264\": \"what state do they play in?\"\n },\n {\n \"65265\": \"in what city?\"\n },\n {\n \"65266\": \"who is their main rival?\"\n },\n {\n \"65267\": \"did they face the cubs in championships prior to the 20th century?\"\n },\n {\n \"65268\": \"how many times?\"\n },\n {\n \"65269\": \"are they a member of the American League?\"\n },\n {\n \"65270\": \"what league are they in?\"\n },\n {\n \"65271\": \"what division are they a part of?\"\n },\n {\n \"65272\": \"what years did they face the cubs in championships?\"\n },\n {\n \"65273\": \"did they win both times?\"\n },\n {\n \"65274\": \"how many times did they win?\"\n },\n {\n \"65275\": \"how many times have they won the world series\"\n },\n {\n \"65276\": \"is that the most in the MLB?\"\n },\n {\n \"65277\": \"how does it rank?\"\n },\n {\n \"65278\": \"what is the name of their stadium?\"\n },\n {\n \"65279\": \"when did that become their park?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65260\",\n \"answer\": \"the Brown Stockings\"\n },\n {\n \"question_id\": \"65261\",\n \"answer\": \"1900\"\n },\n {\n \"question_id\": \"65262\",\n \"answer\": \"Chris von der Ahe\"\n },\n {\n \"question_id\": \"65263\",\n \"answer\": \"1881\"\n },\n {\n \"question_id\": \"65264\",\n \"answer\": \"Missouri\"\n },\n {\n \"question_id\": \"65265\",\n \"answer\": \"St. Louis\"\n },\n {\n \"question_id\": \"65266\",\n \"answer\": \"the Cubs\"\n },\n {\n \"question_id\": \"65267\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65268\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"65269\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65270\",\n \"answer\": \"the National League\"\n },\n {\n \"question_id\": \"65271\",\n \"answer\": \"the Central division\"\n },\n {\n \"question_id\": \"65272\",\n \"answer\": \"1885 and 1886,\"\n },\n {\n \"question_id\": \"65273\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65274\",\n \"answer\": \"once\"\n },\n {\n \"question_id\": \"65275\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"65276\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65277\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"65278\",\n \"answer\": \"Busch Stadium\"\n },\n {\n \"question_id\": \"65279\",\n \"answer\": \"2006.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE CART RIDE. \n\nA week after this, Caleb had his whip to mend. He had broken off the lash, by whipping in sticks and little pieces of drift-wood to the mole. David and Dwight worked a little every day upon the mole, and had carried it out pretty far into the stream, and had almost finished the lower branches of the Y. So, one morning, after the boys had gone to school, and Caleb had had his reading lesson, he sat down upon the steps of the door, behind the house, and began to tie on his lash with a piece of twine which Mary Anna had given him. \n\nBehind the house where Caleb's grandmother lived, there was a lane which led to the pasture. At the head of the lane, where you entered it from the yard, were a pair of bars. While Caleb was mending his whip, he accidentally looked up, and noticed that the bars were down. \n\n\"There, Mr. Raymond,\" said Caleb, talking to himself, as he went on winding his twine round and round the whip-handle; \"for once in your life, you have been careless. You have left your bars down. Now we shall have the cattle all let out, unless I go and stop the mischief.\" \n\nCaleb thought he would go and put the bars up again, as soon as he had tied the ends of his twine; but before he got quite ready, he heard a noise, as of something coming in the lane. He could not see down the lane far, from the place where he sat, for the barn was in the way. But he wondered what could be coming, and he looked towards the bars, and sat waiting for it to appear. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49220\": \"Who worked on the mole daily?\"\n },\n {\n \"49221\": \"Did they know Caleb?\"\n },\n {\n \"49222\": \"Who gave him the twine?\"\n },\n {\n \"49223\": \"Did the whip need mending?\"\n },\n {\n \"49224\": \"What was broken on it?\"\n },\n {\n \"49225\": \"where did David and Dwight go in the morning?\"\n },\n {\n \"49226\": \"Could Caleb read?\"\n },\n {\n \"49227\": \"Did he have grandmother?\"\n },\n {\n \"49228\": \"What was behind her house?\"\n },\n {\n \"49229\": \"where did it lead?\"\n },\n {\n \"49230\": \"Was Caleb skilled at mending?\"\n },\n {\n \"49231\": \"What did he notice about the bars?\"\n },\n {\n \"49232\": \"Who left them down?\"\n },\n {\n \"49233\": \"Was is careless of My. Raymond leave bars down?\"\n },\n {\n \"49234\": \"Why was it a bad thing?\"\n },\n {\n \"49235\": \"Did caleb intend to fix the bars?\"\n },\n {\n \"49236\": \"Why didn't he fix the bars?\"\n },\n {\n \"49237\": \"Where was the noise coming from?\"\n },\n {\n \"49238\": \"Could he see the noise origin?\"\n },\n {\n \"49239\": \"Did he go search or did he wait?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49220\",\n \"answer\": \"David and Dwight\"\n },\n {\n \"question_id\": \"49221\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49222\",\n \"answer\": \"Mary Anna\"\n },\n {\n \"question_id\": \"49223\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49224\",\n \"answer\": \"the lash\"\n },\n {\n \"question_id\": \"49225\",\n \"answer\": \"school\"\n },\n {\n \"question_id\": \"49226\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49227\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49228\",\n \"answer\": \"a lane\"\n },\n {\n \"question_id\": \"49229\",\n \"answer\": \"the pasture\"\n },\n {\n \"question_id\": \"49230\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"49231\",\n \"answer\": \"they were down\"\n },\n {\n \"question_id\": \"49232\",\n \"answer\": \"Caleb\"\n },\n {\n \"question_id\": \"49233\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49234\",\n \"answer\": \"the cattle will get out\"\n },\n {\n \"question_id\": \"49235\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49236\",\n \"answer\": \"he heard a noise\"\n },\n {\n \"question_id\": \"49237\",\n \"answer\": \"the lane\"\n },\n {\n \"question_id\": \"49238\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49239\",\n \"answer\": \"he waited\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Jimmy had a mother who told him that he was good at music. Jimmy wanted to play music. He did not know which instrument to play, so he tried a piano first. The piano went like a sound. Then he tried a guitar. The guitar played. His brother told him that the piano was better to start, so Jimmy played the piano. He hammered on the keys. Jimmy's brother liked this, but mom did not like this. Jimmy tried playing very quiet. Jimmy's mom liked this, but Jimmy's brother did not like this. Jimmy tried playing in the middle. Jimmy liked this, and Jimmy's mom liked this, and Jimmy's brother liked this. It was great.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91340\": \"What did the boy's mom tell him?\"\n },\n {\n \"91341\": \"What was the first instrument that Jimmy learned how to play?\"\n },\n {\n \"91342\": \"And the next one?\"\n },\n {\n \"91343\": \"Why did he go back to the piano?\"\n },\n {\n \"91344\": \"Why was his mom's problem with him playing the piano?\"\n },\n {\n \"91345\": \"Was anyone okay with the way he played?\"\n },\n {\n \"91346\": \"How did do to rectify the situation with his mom?\"\n },\n {\n \"91347\": \"What was the problem with that?\"\n },\n {\n \"91348\": \"What was his solution to this dilemma?\"\n },\n {\n \"91349\": \"How did that work out?\"\n },\n {\n \"91350\": \"Why was it great?\"\n },\n {\n \"91351\": \"Why piqued his interest in music in the first place?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91340\",\n \"answer\": \"that he was good at music\"\n },\n {\n \"question_id\": \"91341\",\n \"answer\": \"the piano\"\n },\n {\n \"question_id\": \"91342\",\n \"answer\": \"the guitar\"\n },\n {\n \"question_id\": \"91343\",\n \"answer\": \"His brother told him the piano was better to start with\"\n },\n {\n \"question_id\": \"91344\",\n \"answer\": \"He hammered on the keys\"\n },\n {\n \"question_id\": \"91345\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91346\",\n \"answer\": \"Jimmy tried playing very quietly\"\n },\n {\n \"question_id\": \"91347\",\n \"answer\": \"His brother did not like this\"\n },\n {\n \"question_id\": \"91348\",\n \"answer\": \"He tried playing in the middle\"\n },\n {\n \"question_id\": \"91349\",\n \"answer\": \"It was great\"\n },\n {\n \"question_id\": \"91350\",\n \"answer\": \"Jimmy, his mom, and his brother all like this\"\n },\n {\n \"question_id\": \"91351\",\n \"answer\": \"His mother who told him that he was good at music\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Autumn means different things to different people. \"It all depends on your personality,\" said British naturalist Richard Mabey. \"Personality shapes your view of the season,\" he said. \"You may see it as a fading-away,a packing-up ,or as a time of packing in another sense--the exciting gathering of resources before a long journey.\" \n\nIf this is true,perhaps it tells us a little about,for instance,Thomas Hood,the 19th Century English poet. About November,he wrote: \n\nNo warmth,no cheerfulness,no healthful ease \n\nNo shade,no shine,no butterflies,no bees \n\nNovember! \n\nOn the other hand,another English poet John Keats,already sensing he was seriously ill,was inspired by a late September day to pen one of the most famous poems in the English language,To Autumn. He wrote to a friend afterwards that there was something comforting and healing about it. \n\nAccording to Richard Mabey,Keats has the biological evidence on his side. Autumn is not a time of slowing down,but a time of new beginnings and great movements of creatures. For example,just at the moment that Keats's \"gathering swallows\" ( in To Autumn)are departing for Africa,millions of creatures are fleeing from the frozen north like Iceland,Greenland and Russia to winter along the east and south coasts of Britain. According to scientists,before falling,the leaves transfer their chlorophyll and carbohydrates into the woody parts of the tree for safe keeping over winter. What remains is the natural antioxidants in the leaves: the yellow and orange carotenoids ,and another protective chemical specially produced for autumn,the bright-red anthocyanin .High colour is not a signal of deterioration and decline,but of detox ability and good health. \n\nA century after Keats,the American poet Loren Eiseley wrote in his journal: \n\n\"Suppose we saw ourselves burning-like maples in a golden autumn. And that we could break up like autumn leaves...dropping their substance like chlorophyll. Wouldn't our attitude towards death be different?\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63523\": \"What season is being talked about?\"\n },\n {\n \"63524\": \"What does Richard Mabey do?\"\n },\n {\n \"63525\": \"What is his nationality?\"\n },\n {\n \"63526\": \"Who wrote about November?\"\n },\n {\n \"63527\": \"What was his occupation?\"\n },\n {\n \"63528\": \"What was his nationality?\"\n },\n {\n \"63529\": \"What time period did he live?\"\n },\n {\n \"63530\": \"Who is the next poet mentioned?\"\n },\n {\n \"63531\": \"What was his nationality?\"\n },\n {\n \"63532\": \"Was his writing well known?\"\n },\n {\n \"63533\": \"What was the name of his famous poem?\"\n },\n {\n \"63534\": \"What inspired the poem?\"\n },\n {\n \"63535\": \"Was he in good health when it was written?\"\n },\n {\n \"63536\": \"Do things slow down in Autumn?\"\n },\n {\n \"63537\": \"What happens to leaves before they fall?\"\n },\n {\n \"63538\": \"What is left behind?\"\n },\n {\n \"63539\": \"Is high color a bad thing?\"\n },\n {\n \"63540\": \"What is it a sign of?\"\n },\n {\n \"63541\": \"When did Loren Eiseley live?\"\n },\n {\n \"63542\": \"What is his nationality?\"\n },\n {\n \"63543\": \"What kind of evidence does Keats have on his side?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63523\",\n \"answer\": \"Autumn\"\n },\n {\n \"question_id\": \"63524\",\n \"answer\": \"he's a naturalist\"\n },\n {\n \"question_id\": \"63525\",\n \"answer\": \"British\"\n },\n {\n \"question_id\": \"63526\",\n \"answer\": \"Thomas Hood\"\n },\n {\n \"question_id\": \"63527\",\n \"answer\": \"poet\"\n },\n {\n \"question_id\": \"63528\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"63529\",\n \"answer\": \"19th Century\"\n },\n {\n \"question_id\": \"63530\",\n \"answer\": \"John Keats\"\n },\n {\n \"question_id\": \"63531\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"63532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63533\",\n \"answer\": \"To Autumn\"\n },\n {\n \"question_id\": \"63534\",\n \"answer\": \"a late September\"\n },\n {\n \"question_id\": \"63535\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63536\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63537\",\n \"answer\": \"leaves transfer their chlorophyll and carbohydrates into the woody parts of the tree\"\n },\n {\n \"question_id\": \"63538\",\n \"answer\": \"natural antioxidants\"\n },\n {\n \"question_id\": \"63539\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"63540\",\n \"answer\": \"detox ability and good health\"\n },\n {\n \"question_id\": \"63541\",\n \"answer\": \"A century after Keats\"\n },\n {\n \"question_id\": \"63542\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"63543\",\n \"answer\": \"biological\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- The lawyer for the neighborhood watch leader who fatally shot unarmed 17-year-old Trayvon Martin in Sanford, Florida, said Thursday that his client has received about $200,000 from supporters. \n\nOrlando lawyer Mark O'Mara told CNN's \"AC360\" that George Zimmerman told him Wednesday of the donations as they were trying to shut down his Internet presence to avoid concerns about possible impersonators and problems with his Twitter and Facebook accounts. \n\n\"He asked me what to do with his PayPal accounts and I asked him what he was talking about,\" O'Mara told Anderson Cooper. \"And he said those were the accounts that had the money from the website he had. And there was about 200, $204,000 that had come in to date.\" \n\nO'Mara had said earlier this month that he believed Zimmerman had no money. \"I think he's indigent for costs,\" he said, adding that Zimmerman's relatives had few assets. \n\nZimmerman, 28, was released Monday on $150,000 bail, 10% of which his family put up to secure his release. He is accused of second-degree murder in the February 26 death of Martin, who was African-American. Critics have accused him of racially profiling Martin and unjustly killing him. He has said he shot in self-defense. \n\nAsked whether knowledge of the money might have made a difference to Judge Kenneth Lester Jr., who presided at Zimmerman's bond hearing, O'Mara said, \"It might have.\" \n\nO'Mara continued, \"I'm certainly going to disclose it to the court tomorrow -- coincidentally, we have a hearing.\" \n\nHe said he was prepared to \"deal with any fallout,\" but predicted Lester would not feel misled. \"I told him what I knew at the time, which was exactly what I was aware of.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68577\": \"Who was shot?\"\n },\n {\n \"68578\": \"How old was he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68577\",\n \"answer\": \"Trayvon Martin\"\n },\n {\n \"question_id\": \"68578\",\n \"answer\": \"17-year-old\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Can you imagine that someone could cure all the diseases in the world? It seems like an impossible job, But Priscilla Chan wants to make it come true. Chan, 31, is from the United States. Many people may know her as a wife of Mark Zuckerberg , the founder of Facebook. But Chan herself has done a lot to help people. Chan and Zuckerberg said in September that they would give out $3 billion , that's about Y=20 billion in the next 10 years to help deal with all of the world's diseases. As a doctor for children, Chan was a big driver in this decision. \"By investing in science today, we hope to build a future in which all of our children can live long and meaningful lives,\" she said. She cares about not only children's health but also their education. Before becoming a doctor, Chan taught science to the 4th and 5th graders at a school in California for a year. That year she started a project called The Primary School. It provides education for children from kindergarten to the 12th grade. Chan herself knows how important education is to a child. She has a Chinese father and a Vietnamese mother. Her parents didn't come to the US with much. But they worked hard to make sure Chan and their other two daughters had the best opportunities possible. Chan went to Harvard University in 2003 and now works as a doctor. \"I realized that I was so lucky to be what I was,\" said Chan. \"It drives me to make sure others, no matter what background they have, can have their opportunities, to reach their dreams and their full potential .\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7744\": \"Who is she married to?\"\n },\n {\n \"7745\": \"How much are they donating in US dollars?\"\n },\n {\n \"7746\": \"$3 billion.\"\n },\n {\n \"7747\": \"What grades did she teach?\"\n },\n {\n \"7748\": \"What college did she attend?\"\n },\n {\n \"7749\": \"What program did she start?\"\n },\n {\n \"7750\": \"What nationality is her dad?\"\n },\n {\n \"7751\": \"How many kids do they have?\"\n },\n {\n \"7752\": \"What are their sexes?\"\n },\n {\n \"7753\": \"What is Chan's occupation?\"\n },\n {\n \"7754\": \"How old is she?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7744\",\n \"answer\": \"Mark Zuckerberg\"\n },\n {\n \"question_id\": \"7745\",\n \"answer\": \"$3 billion\"\n },\n {\n \"question_id\": \"7746\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"7747\",\n \"answer\": \"4th and 5th graders\"\n },\n {\n \"question_id\": \"7748\",\n \"answer\": \"Harvard\"\n },\n {\n \"question_id\": \"7749\",\n \"answer\": \"The Primary School\"\n },\n {\n \"question_id\": \"7750\",\n \"answer\": \"Chinese\"\n },\n {\n \"question_id\": \"7751\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"7752\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"7753\",\n \"answer\": \"doctor\"\n },\n {\n \"question_id\": \"7754\",\n \"answer\": \"31\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nFor the Princess it was a day full of excitements. The Count had only just reluctantly withdrawn, and Jeanne had gone to her room under the plea of fatigue, when Forrest was shown in. She started at the look in his drawn face. \n\n\"Nigel,\" she exclaimed hastily, \"is everything all right?\" \n\nHe threw himself into a chair. \n\n\"Everything,\" he answered, \"is all wrong. Everything is over.\" \n\nThe Princess saw then that he had aged during the last few days, that this man whose care of himself had kept him comparatively youthful looking, notwithstanding the daily routine of an unwholesome life, was showing signs at last of breaking down. There were lines about his eyes, little baggy places underneath. He dragged his feet across the carpet as though he were tired. The Princess pushed up an easy-chair and went herself to the sideboard. \n\n\"Give me a little brandy,\" he said, \"or rather a good deal of brandy. I need it.\" \n\nThe Princess felt her own hand shake. She brought him a tumbler and sat down by his side. \n\n\"You had to kill him?\" she asked, in a whisper. \"Is it that?\" \n\nForrest set down his glass--empty. \n\n\"No!\" he answered. \"We were going to, when a mad woman who lives there got into the place and found us out. We had them safe, the two of them, when the worst thing happened which could have befallen us. Andrew de la Borne broke in upon us.\" \n\nThe Princess listened with set face. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17908\": \"What did the Princess' hand do?\"\n },\n {\n \"17909\": \"What did she bring the man?\"\n },\n {\n \"17910\": \"Did she take a seat by him?\"\n },\n {\n \"17911\": \"Who had reluctantly withdrawn?\"\n },\n {\n \"17912\": \"What had Jeanne done?\"\n },\n {\n \"17913\": \"For what reason?\"\n },\n {\n \"17914\": \"Who was then let in?\"\n },\n {\n \"17915\": \"Did the princess look at his arm?\"\n },\n {\n \"17916\": \"What did she look at?\"\n },\n {\n \"17917\": \"Who asked if everything was okay?\"\n },\n {\n \"17918\": \"What did Nigel then do?\"\n },\n {\n \"17919\": \"Did he look older than before?\"\n },\n {\n \"17920\": \"What kind of liquor did he ask for?\"\n },\n {\n \"17921\": \"Did Forrest empty his glass?\"\n },\n {\n \"17922\": \"Who did Forrest say found them out?\"\n },\n {\n \"17923\": \"Who else broke in on them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17908\",\n \"answer\": \"it shook\"\n },\n {\n \"question_id\": \"17909\",\n \"answer\": \"a tumbler\"\n },\n {\n \"question_id\": \"17910\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17911\",\n \"answer\": \"The Count\"\n },\n {\n \"question_id\": \"17912\",\n \"answer\": \"gone to her room\"\n },\n {\n \"question_id\": \"17913\",\n \"answer\": \"she pleaded fatigue\"\n },\n {\n \"question_id\": \"17914\",\n \"answer\": \"Forrest\"\n },\n {\n \"question_id\": \"17915\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17916\",\n \"answer\": \"his drawn face\"\n },\n {\n \"question_id\": \"17917\",\n \"answer\": \"The Princess.\"\n },\n {\n \"question_id\": \"17918\",\n \"answer\": \"threw himself into a chair\"\n },\n {\n \"question_id\": \"17919\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17920\",\n \"answer\": \"brandy\"\n },\n {\n \"question_id\": \"17921\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17922\",\n \"answer\": \"a mad woman\"\n },\n {\n \"question_id\": \"17923\",\n \"answer\": \"Andrew de la Borne\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Robert is eleven years old. He loves to watch TV. But for one full year, he did not watch TV at all. What was the reason? Robert's parents said they would give him $500 if he didn't watch TV for a year. Robert's parents thought he watched too much TV. One day his mother saw a newspaper story about a boy who didn't watch TV for a year. She showed the story to Robert. \"It was a joke,\" his mother said, \"I didn't think he would do it.\" But Robert liked the idea. He turned off the TV right away. He said, \"It doesn't matter to me whether to watch TV or not. I just want the money.\" At first, Robert's parents were very happy. Robert read the newspaper, played outside, played computer games, and played cards with his mother. But after a while, he got bored. Every evening, he asked his parents, \"What are we doing tonight?\" Sometimes his mother and father wished he would watch TV, just for one evening. Robert always said, \"No, it would cost me money!\" Finally the year was over. Then Robert started watching his favourite TV shows all day long again. Robert got the money from his parents. What does he plan to do with the $500? \"I want to buy myself a TV set!\" he said.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42195\": \"What does Robert love to do?\"\n },\n {\n \"42196\": \"For how long did he not watch it?\"\n },\n {\n \"42197\": \"How much money did his parents give him for this?\"\n },\n {\n \"42198\": \"Did the boy get bored eventually?\"\n },\n {\n \"42199\": \"How old is he?\"\n },\n {\n \"42200\": \"What did he plan to buy with his money?\"\n },\n {\n \"42201\": \"Where did his mom get this idea of him not watching tv for a year?\"\n },\n {\n \"42202\": \"What did the boy play with his mom?\"\n },\n {\n \"42203\": \"Did he play games on the computer?\"\n },\n {\n \"42204\": \"Did the boy say the money was more important than TV?\"\n },\n {\n \"42205\": \"What did Robert read?\"\n },\n {\n \"42206\": \"What did he start asking his parents a lot?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42195\",\n \"answer\": \"watch TV\"\n },\n {\n \"question_id\": \"42196\",\n \"answer\": \"one full year\"\n },\n {\n \"question_id\": \"42197\",\n \"answer\": \"$500\"\n },\n {\n \"question_id\": \"42198\",\n \"answer\": \"yes\\\\\"\n },\n {\n \"question_id\": \"42199\",\n \"answer\": \"eleven years old\"\n },\n {\n \"question_id\": \"42200\",\n \"answer\": \"a TV set\"\n },\n {\n \"question_id\": \"42201\",\n \"answer\": \"from a newspaper story\"\n },\n {\n \"question_id\": \"42202\",\n \"answer\": \"cards\"\n },\n {\n \"question_id\": \"42203\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42204\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"42205\",\n \"answer\": \"newspaper\"\n },\n {\n \"question_id\": \"42206\",\n \"answer\": \"What are we doing tonight\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Definitions of \"Southeast Asia\" vary, but most definitions include the area represented by the countries (sovereign states and dependent territories) listed below. All of the states except for East Timor are members of the Association of Southeast Asian Nations (ASEAN). The area, together with part of South Asia, was widely known as the East Indies or simply the Indies until the 20th century. Christmas Island and the Cocos (Keeling) Islands[citation needed] are considered part of Southeast Asia though they are governed by Australia.[citation needed] Sovereignty issues exist over some territories in the South China Sea. Papua New Guinea has stated that it might join ASEAN, and is currently an observer. \n\nThe Andaman and Nicobar Islands of India are geographically considered part of Southeast Asia. Eastern Bangladesh and the Seven Sister States of India are culturally part of Southeast Asia and sometimes considered both South Asian and Southeast Asian. The Seven Sister States of India are also geographically part of Southeast Asia.[citation needed] The rest of the island of New Guinea which is not part of Indonesia, namely, Papua New Guinea, is sometimes included so are Palau, Guam, and the Northern Mariana Islands, which were all part of the Spanish East Indies.[citation needed]\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25199\": \"The Andaman Islands are part of which geographic location?\"\n },\n {\n \"25200\": \"But are they part of a country?\"\n },\n {\n \"25201\": \"Which country?\"\n },\n {\n \"25202\": \"By the way, is the definition of Southeast Asia not agreed upon?\"\n },\n {\n \"25203\": \"Is ASEAN within SE Asia?\"\n },\n {\n \"25204\": \"What does ASEAN stand for?\"\n },\n {\n \"25205\": \"Is there a SE country which is not in ASEAN?\"\n },\n {\n \"25206\": \"Which country?\"\n },\n {\n \"25207\": \"Is part of India sometimes referred as SE Asia?\"\n },\n {\n \"25208\": \"Which part of New Guinea is not part of Indonesia?\"\n },\n {\n \"25209\": \"Are Palau and Guam also part of it?\"\n },\n {\n \"25210\": \"Are they also part of Spanish East Indies?\"\n },\n {\n \"25211\": \"Which part of SE Asia is ruled by Australia?\"\n },\n {\n \"25212\": \"What's the issue with South China Sea?\"\n },\n {\n \"25213\": \"What is Papua New Guinea's aspiration?\"\n },\n {\n \"25214\": \"What is their currnt sataus?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"25199\",\n \"answer\": \"southeast asia\"\n },\n {\n \"question_id\": \"25200\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25201\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"25202\",\n \"answer\": \"Definitions vary,\"\n },\n {\n \"question_id\": \"25203\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"25204\",\n \"answer\": \"Association of Southeast Asian Nations\"\n },\n {\n \"question_id\": \"25205\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25206\",\n \"answer\": \"East Tinor\"\n },\n {\n \"question_id\": \"25207\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"25208\",\n \"answer\": \"Papua New Guinea, is sometimes included\"\n },\n {\n \"question_id\": \"25209\",\n \"answer\": \"sometimes\"\n },\n {\n \"question_id\": \"25210\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25211\",\n \"answer\": \". Christmas Island and the Cocos islands\"\n },\n {\n \"question_id\": \"25212\",\n \"answer\": \"Sovereignty issues\"\n },\n {\n \"question_id\": \"25213\",\n \"answer\": \"it might join ASEAN,\"\n },\n {\n \"question_id\": \"25214\",\n \"answer\": \"an observer.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\n\"How this came about I don't even quite know,\" Tallente remarked, an hour or so later, as he laid down the menu and smiled across the corner table in the little Soho restaurant at his two companions. \n\n\"I can tell you exactly,\" Nora declared. \"You are in town for a few days only, and I want to see as much of you as I can; Susan here is deserting me at nine o'clock to go to a musical comedy; I particularly wanted a sole Georges, and I knew, if Susan and I came here alone, a person whom we neither of us like would come and share our table. Therefore, I made artless enquiries as to your engagements for the evening. When I found that you proposed to dine alone in some hidden place rather than run the risk of meeting any of your political acquaintances at the club, I went in for a little mental suggestion.\" \n\n\"I see,\" he murmured. \"Then my invitation wasn't a spontaneous one?\" \n\n\"Not at all,\" she agreed. \"I put the idea into your head.\" \n\n\"And now that we are here, are you going to stretch me on the rack and delve for my opinions on all sorts of subjects? is Miss Susan there going to take them down in shorthand on her cuff and you make a report to Dartrey when he comes back to-morrow?\" \n\nShe laughed at him from underneath her close-fitting, becoming little hat. She was biting an olive with firm white teeth. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2431\": \"Is is returning the next day?\"\n },\n {\n \"2432\": \"Where are they?\"\n },\n {\n \"2433\": \"Where is it?\"\n },\n {\n \"2434\": \"How many people are there?\"\n },\n {\n \"2435\": \"How many men?\"\n },\n {\n \"2436\": \"How many women?\"\n },\n {\n \"2437\": \"Are they sitting in a booth?\"\n },\n {\n \"2438\": \"Where are they sitting?\"\n },\n {\n \"2439\": \"What had Tallente been holding?\"\n },\n {\n \"2440\": \"Is Susan going to be with Nora the whole night?\"\n },\n {\n \"2441\": \"Where is she going?\"\n },\n {\n \"2442\": \"Where did Tallente not want to eat?\"\n },\n {\n \"2443\": \"How long will he be in town?\"\n },\n {\n \"2444\": \"Where was he thinking of eating?\"\n },\n {\n \"2445\": \"what time is Susan leaving?\"\n },\n {\n \"2446\": \"How does Nora's hat fit?\"\n },\n {\n \"2447\": \"How might Susan take notes?\"\n },\n {\n \"2448\": \"Where?\"\n },\n {\n \"2449\": \"Who did they not want to share a table with?\"\n },\n {\n \"2450\": \"What is Nora eating?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2431\",\n \"answer\": \"Dartrey\"\n },\n {\n \"question_id\": \"2432\",\n \"answer\": \"a restaurant\"\n },\n {\n \"question_id\": \"2433\",\n \"answer\": \"Soho\"\n },\n {\n \"question_id\": \"2434\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"2435\",\n \"answer\": \"one\"\n },\n {\n \"question_id\": \"2436\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"2437\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2438\",\n \"answer\": \"in the corner\"\n },\n {\n \"question_id\": \"2439\",\n \"answer\": \"the menu\"\n },\n {\n \"question_id\": \"2440\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2441\",\n \"answer\": \"a musical comedy\"\n },\n {\n \"question_id\": \"2442\",\n \"answer\": \"at the club\"\n },\n {\n \"question_id\": \"2443\",\n \"answer\": \"a few days\"\n },\n {\n \"question_id\": \"2444\",\n \"answer\": \"alone in a hidden place\"\n },\n {\n \"question_id\": \"2445\",\n \"answer\": \"nine o'clock\"\n },\n {\n \"question_id\": \"2446\",\n \"answer\": \"close-fitting\"\n },\n {\n \"question_id\": \"2447\",\n \"answer\": \"in shorthand\"\n },\n {\n \"question_id\": \"2448\",\n \"answer\": \"on her cuff\"\n },\n {\n \"question_id\": \"2449\",\n \"answer\": \"a person who they didn't like\"\n },\n {\n \"question_id\": \"2450\",\n \"answer\": \"an olive\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Armenia is a unitary, multi-party, democratic nation-state with an ancient cultural heritage. Urartu was established in 860 BC and by the 6th century BC it was replaced by the Satrapy of Armenia. In the 1st century BC the Kingdom of Armenia reached its height under Tigranes the Great. Armenia became the first state in the world to adopt Christianity as its official religion. In between the late 3rd century to early years of the 4th century, the state became the first Christian nation. The official date of state adoption of Christianity is 301 AD. The ancient Armenian kingdom was split between the Byzantine and Sasanian Empires around the early 5th century. \n\nBetween the 16th century and 19th century, the traditional Armenian homeland composed of Eastern Armenia and Western Armenia came under the rule of the Ottoman and successive Iranian empires, repeatedly ruled by either of the two over the centuries. By the 19th century, Eastern Armenia had been conquered by the Russian Empire, while most of the western parts of the traditional Armenian homeland remained under Ottoman rule. During World War I, Armenians living in their ancestral lands in the Ottoman Empire were systematically exterminated in the Armenian Genocide. In 1918, after the Russian Revolution, all non-Russian countries declared their independence from the Russian empire, leading to the establishment of the First Republic of Armenia. By 1920, the state was incorporated into the Transcaucasian Socialist Federative Soviet Republic, and in 1922 became a founding member of the Soviet Union. In 1936, the Transcaucasian state was dissolved, transforming its constituent states, including the Armenian Soviet Socialist Republic, into full Union republics. The modern Republic of Armenia became independent in 1991 during the dissolution of the Soviet Union.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51042\": \"How old is this area?\"\n },\n {\n \"51043\": \"What year?\"\n },\n {\n \"51044\": \"It adopted what first?\"\n },\n {\n \"51045\": \"When?\"\n },\n {\n \"51046\": \"When did they become free in current times?\"\n },\n {\n \"51047\": \"When were the free from the Union?\"\n },\n {\n \"51048\": \"Did they take time to join the union?\"\n },\n {\n \"51049\": \"What happened just before?\"\n },\n {\n \"51050\": \"Before that?\"\n },\n {\n \"51051\": \"Who oversaw the area in the middle ages?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51042\",\n \"answer\": \"Ancient\"\n },\n {\n \"question_id\": \"51043\",\n \"answer\": \"Established 860 BC\"\n },\n {\n \"question_id\": \"51044\",\n \"answer\": \"Christianity\"\n },\n {\n \"question_id\": \"51045\",\n \"answer\": \"301 AD\"\n },\n {\n \"question_id\": \"51046\",\n \"answer\": \"1918\"\n },\n {\n \"question_id\": \"51047\",\n \"answer\": \"1991\"\n },\n {\n \"question_id\": \"51048\",\n \"answer\": \"It was a founding member\"\n },\n {\n \"question_id\": \"51049\",\n \"answer\": \"It was incorporated into the Transcaucasian Socialist Federative Soviet Republic\"\n },\n {\n \"question_id\": \"51050\",\n \"answer\": \"It declared independence in 1918\"\n },\n {\n \"question_id\": \"51051\",\n \"answer\": \"The Byzantine and Sasanian Empires\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tony loved basketball. One afternoon on his way to a basketball game, he was walking and dreaming about playing college basketball the next year. Suddenly a car hit him and he was thrown three meters into the air. Tony woke up in a hospital room. When the doctor told him that both his legs were broken, he knew his college basketball dreams were over. Tony did what the doctors told him. But it didn't work when he left the hospital, Tony was sent to a _ center for physical treatment. A week after he arrived there, he met Sunny Chen. Sunny used to be a coach. His legs were hurt badly in a skating accident. Though he couldn't move his legs, Sunny became a coach of a basketball team called The Sun. It was a wheelchair basketball team, because everybody on the team played on a wheelchair. Sunny invited Tony to join the game. Tony played badly, but for the first time since the accident, he stopped feeling sorry for himself. After becoming a part of The Sun, Tony improved quickly. Playing basketball was like medicine for him. Tony was much better that before. When Tony became sad or angry, Sunny was there to help him. The day before Tony left the center, he had dinner with Sunny. He asked Sunny how he could be so happy, even with his broken legs. Sunny smiled and said, \"It's really quite easy. When you keep your face to the sun, the shadow falls behind.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64045\": \"How was Tony injured?\"\n },\n {\n \"64046\": \"what was he doing when it happened?\"\n },\n {\n \"64047\": \"about what?\"\n },\n {\n \"64048\": \"what injuries did he sustain?\"\n },\n {\n \"64049\": \"where was he sent after the hospital?\"\n },\n {\n \"64050\": \"who did he meet there?\"\n },\n {\n \"64051\": \"how had he been injured?\"\n },\n {\n \"64052\": \"could he walk?\"\n },\n {\n \"64053\": \"did he still play basketball?\"\n },\n {\n \"64054\": \"what was the name of the team?\"\n },\n {\n \"64055\": \"how do they play basketball?\"\n },\n {\n \"64056\": \"did Tony decide to play?\"\n },\n {\n \"64057\": \"Was he good at first?\"\n },\n {\n \"64058\": \"what happened the more he practiced?\"\n },\n {\n \"64059\": \"Did Sunny also help him emotionally?\"\n },\n {\n \"64060\": \"what is Sunny's secret to happiness?\"\n },\n {\n \"64061\": \"is it difficult?\"\n },\n {\n \"64062\": \"does Tony still feel sorry for himself?\"\n },\n {\n \"64063\": \"was joining the team therapeutic for him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64045\",\n \"answer\": \"car hit him\"\n },\n {\n \"question_id\": \"64046\",\n \"answer\": \"walking and dreaming\"\n },\n {\n \"question_id\": \"64047\",\n \"answer\": \"about playing college basketball\"\n },\n {\n \"question_id\": \"64048\",\n \"answer\": \"both his legs were broken\"\n },\n {\n \"question_id\": \"64049\",\n \"answer\": \"center for physical treatment\"\n },\n {\n \"question_id\": \"64050\",\n \"answer\": \"Sunny Chen\"\n },\n {\n \"question_id\": \"64051\",\n \"answer\": \"in a skating accident\"\n },\n {\n \"question_id\": \"64052\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64053\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64054\",\n \"answer\": \"The Sun\"\n },\n {\n \"question_id\": \"64055\",\n \"answer\": \"on a wheelchair\"\n },\n {\n \"question_id\": \"64056\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64057\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64058\",\n \"answer\": \"improved quickly\"\n },\n {\n \"question_id\": \"64059\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64060\",\n \"answer\": \"When you keep your face to the sun, the shadow falls behind.\"\n },\n {\n \"question_id\": \"64061\",\n \"answer\": \"It's really quite easy\"\n },\n {\n \"question_id\": \"64062\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64063\",\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 There was once a frog who lived all the way in the North Pole. His name was Isaac. He worked at Santa's factory, baking cakes with lots of frosting. He didn't like making cake much. In fact, Isaac's dream was to work in the factory with the elves making toys. But since he was a frog, he was never allowed to build toys with the elves. One day, he got a smart idea. He would dress up as an elf and sneak into the factory, hoping no one would find out. So he got a hold of an elf costume and put it on. He put on the elf hat, the elf shirt, and the elf shoes. He really looked like an elf! So one day, when the factory was opening for the morning, Isaac snuck in line with the rest of the elves and tried to get into the factory. Luckily, it worked, and no one found out! Isaac was filled with joy as he had never seen the inside of the toy factory before. It was huge, and there were thousands of elves building toys for the children for next Christmas. He joined them in building, and for a long time, no one knew he was a frog. That is, until one elf, named Joe, saw that there was something weird about Isaac. He didn't look like the rest of the elves. So he kept his eye on Isaac, waiting to see what his secret was. One day, Isaac slipped, and his hat fell off. When this happened, Joe saw that he was a frog, and not an elf! He told Isaac that he would tell Santa all about how he had snuck in. Isaac begged Joe not to tell. Joe wanted to know what was in it for him, so Isaac promised to bake him a cake with lots of frosting. Joe never told.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42980\": \"Where did the frog live?\"\n },\n {\n \"42981\": \"What's his name?\"\n },\n {\n \"42982\": \"Where did he work?\"\n },\n {\n \"42983\": \"What did he do?\"\n },\n {\n \"42984\": \"Is that what he wanted to do?\"\n },\n {\n \"42985\": \"Why couldn't he do what he wanted?\"\n },\n {\n \"42986\": \"How did he try and overcome that?\"\n },\n {\n \"42987\": \"What did it look like?\"\n },\n {\n \"42988\": \"Did someone discover his identity?\"\n },\n {\n \"42989\": \"How did he figure it out?\"\n },\n {\n \"42990\": \"Did he do anything about it?\"\n },\n {\n \"42991\": \"Did he have to?\"\n },\n {\n \"42992\": \"Why not?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42980\",\n \"answer\": \"North Pole\"\n },\n {\n \"question_id\": \"42981\",\n \"answer\": \"His name was Isaac\"\n },\n {\n \"question_id\": \"42982\",\n \"answer\": \"At Santa's factory\"\n },\n {\n \"question_id\": \"42983\",\n \"answer\": \"He baked cakes with lots of frosting\"\n },\n {\n \"question_id\": \"42984\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"42985\",\n \"answer\": \"He was a frog.\"\n },\n {\n \"question_id\": \"42986\",\n \"answer\": \"He dressed up as an elf and successfully snuck in.\"\n },\n {\n \"question_id\": \"42987\",\n \"answer\": \"It was huge and packed.\"\n },\n {\n \"question_id\": \"42988\",\n \"answer\": \"That is, until one elf, named Joe, saw that there was something weird about Isaac. He didn't look like the rest of the elves.\"\n },\n {\n \"question_id\": \"42989\",\n \"answer\": \"Issac's hat slipped and he saw.\"\n },\n {\n \"question_id\": \"42990\",\n \"answer\": \"He threatened to tell Santa\"\n },\n {\n \"question_id\": \"42991\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"42992\",\n \"answer\": \"Issac promised him cakes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mr. Zhang, our geography teacher, held a map of the world and asked us where we would like to travel. Li Ming said, \"I like countries with an interesting history, such as China, Egypt, Greece and Italy. They are all old countries with a long history. You can see many old buildings in these countries, such as the Great Wall, the Pyramids and the Acropolis .\" The teacher asked, \"Do you want to go to places with beautiful beaches?\" Yang Ying said, \"Of course. It's pleasant to visit places with fine weather and beautiful beaches. For example, the U.S.A., Australia and Malaysia have beautiful beaches.\" Shanshan said, \"I know many countries in Southeast Asia have beautiful beaches. But I like visiting countries where the people are very friendly and helpful to visitors.\" Mr. Zhang said, \"Remember: hotel, food and souvenirs always cost us much money. So we should make a good plan before we go to visit other countries.\" ,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28679\": \"What is the teacher's name?\"\n },\n {\n \"28680\": \"What did he show the class?\"\n },\n {\n \"28681\": \"What type of countries did the first student mention?\"\n },\n {\n \"28682\": \"Did she give any examples?\"\n },\n {\n \"28683\": \"What specific structures did she mention?\"\n },\n {\n \"28684\": \"Did the teacher ask her about a different type of place?\"\n },\n {\n \"28685\": \"What type?\"\n },\n {\n \"28686\": \"Which three countries have nice beaches?\"\n },\n {\n \"28687\": \"Did another student mention a different country?\"\n },\n {\n \"28688\": \"Where are those countries located?\"\n },\n {\n \"28689\": \"What costs a lot of money when travelling?\"\n },\n {\n \"28690\": \"What subject were they studying?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"28679\",\n \"answer\": \"Mr. Zhang\"\n },\n {\n \"question_id\": \"28680\",\n \"answer\": \"a map of the world\"\n },\n {\n \"question_id\": \"28681\",\n \"answer\": \"old countries\"\n },\n {\n \"question_id\": \"28682\",\n \"answer\": \"China, Egypt, Greece and Italy\"\n },\n {\n \"question_id\": \"28683\",\n \"answer\": \"the Great Wall, the Pyramids and the Acropolis\"\n },\n {\n \"question_id\": \"28684\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28685\",\n \"answer\": \"places with beautiful beaches\"\n },\n {\n \"question_id\": \"28686\",\n \"answer\": \"U.S.A., Australia and Malaysia\"\n },\n {\n \"question_id\": \"28687\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28688\",\n \"answer\": \"in Southeast Asia\"\n },\n {\n \"question_id\": \"28689\",\n \"answer\": \"hotel, food and souvenirs\"\n },\n {\n \"question_id\": \"28690\",\n \"answer\": \"geography\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nAbout L. D. \n\nApollo Crosbie left London for Allington on the 31st of August, intending to stay there four weeks, with the declared intention of recruiting his strength by an absence of two months from official cares, and with no fixed purpose as to his destiny for the last of those two months. Offers of hospitality had been made to him by the dozen. Lady Hartletop's doors, in Shropshire, were open to him, if he chose to enter them. He had been invited by the Countess de Courcy to join her suite at Courcy Castle. His special friend, Montgomerie Dobbs, had a place in Scotland, and then there was a yachting party by which he was much wanted. But Mr Crosbie had as yet knocked himself down to none of these biddings, having before him when he left London no other fixed engagement than that which took him to Allington. On the first of October we shall also find ourselves at Allington in company with Johnny Eames; and Apollo Crosbie will still be there,--by no means to the comfort of our friend from the Income-tax Office. \n\nJohnny Eames cannot be called unlucky in that matter of his annual holiday, seeing that he was allowed to leave London in October, a month during which few chose to own that they remain in town. For myself, I always regard May as the best month for holiday-making; but then no Londoner cares to be absent in May. Young Eames, though he lived in Burton Crescent and had as yet no connection with the West End, had already learned his lesson in this respect. \"Those fellows in the big room want me to take May,\" he had said to his friend Cradell. \"They must think I'm uncommon green.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78709\": \"where does Eames live?\"\n },\n {\n \"78710\": \"when did Apollo leave London?\"\n },\n {\n \"78711\": \"to go where?\"\n },\n {\n \"78712\": \"what does the author feel the best month of vacation is?\"\n },\n {\n \"78713\": \"when was Eames going in vacation?\"\n },\n {\n \"78714\": \"was he happy about that?\"\n },\n {\n \"78715\": \"what did he say the people in the room thought he was?\"\n },\n {\n \"78716\": \"was he connected to the West End?\"\n },\n {\n \"78717\": \"does Apollo have a lot of invites?\"\n },\n {\n \"78718\": \"when was Eames going to allington?\"\n },\n {\n \"78719\": \"who was one of the people who had invited Apollo?\"\n },\n {\n \"78720\": \"where was she?\"\n },\n {\n \"78721\": \"do people in London like taking vacation in May?\"\n },\n {\n \"78722\": \"how long was apollo going to be in allington for?\"\n },\n {\n \"78723\": \"and how long did he want to be away from the office for?\"\n },\n {\n \"78724\": \"did he know what he was going to be doing then?\"\n },\n {\n \"78725\": \"who was the special friend that had invited him?\"\n },\n {\n \"78726\": \"who had a place in scotland?\"\n },\n {\n \"78727\": \"who else invited him?\"\n },\n {\n \"78728\": \"where was he to meet her if he decided?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78709\",\n \"answer\": \"Allington\"\n },\n {\n \"question_id\": \"78710\",\n \"answer\": \"August 31\"\n },\n {\n \"question_id\": \"78711\",\n \"answer\": \"Allington\"\n },\n {\n \"question_id\": \"78712\",\n \"answer\": \"may\"\n },\n {\n \"question_id\": \"78713\",\n \"answer\": \"October\"\n },\n {\n \"question_id\": \"78714\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78715\",\n \"answer\": \"green\"\n },\n {\n \"question_id\": \"78716\",\n \"answer\": \"not at that time\"\n },\n {\n \"question_id\": \"78717\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78718\",\n \"answer\": \"October\"\n },\n {\n \"question_id\": \"78719\",\n \"answer\": \"Lady Hartletop\"\n },\n {\n \"question_id\": \"78720\",\n \"answer\": \"Shropshire\"\n },\n {\n \"question_id\": \"78721\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78722\",\n \"answer\": \"hfour weeks\"\n },\n {\n \"question_id\": \"78723\",\n \"answer\": \"two monthsa\"\n },\n {\n \"question_id\": \"78724\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78725\",\n \"answer\": \"Johnny Eames\"\n },\n {\n \"question_id\": \"78726\",\n \"answer\": \"Montgomerie Dobbs\"\n },\n {\n \"question_id\": \"78727\",\n \"answer\": \"the Countess de Courcy\"\n },\n {\n \"question_id\": \"78728\",\n \"answer\": \"Courcy Castle\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- A former campaign staffer for San Diego Mayor Bob Filner became the second woman to publicly accuse him of sexual harassment, saying Tuesday that the then-congressman patted her \"posterior\" while at a fundraising event. \n\nLaura Fink, who now runs a political consulting firm, told KPBS-TV that it happened in 2005 when she was working as Filner's deputy campaign manager. \n\nFink said she didn't go public with the incident at the time because she was trying to build her political career. But she said she now feels emboldened to tell her story after Filner's former spokeswoman, Irene McCormack Jackson, sued him for sexual harassment Monday. \n\nJackson said Filner subjected her and other women to \"crude and disgusting\" comments and inappropriate touching. She said she resigned as Filner's communications director in June after deciding the mayor would not change his behavior. \n\n\"I had to work and do my job in an atmosphere where women were viewed by Mayor Filner as sexual objects or stupid idiots,\" Jackson said. She said Filner asked her to work without underwear and made repeated sexual advances toward her. \n\n\"He is not fit to be mayor of our great city. He is not fit to hold any public office. A man who lacks character makes a mockery of his ideas,\" she said. \n\nFink told KPBS on Tuesday that the incident happened as she was escorting Filner from table to table at a fundraising dinner. At one point, she said, someone at the event told Filner that Fink had \"worked her ass off\" for him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2819\": \"who was accused of something?\"\n },\n {\n \"2820\": \"what is his title\"\n },\n {\n \"2821\": \"of which town?\"\n },\n {\n \"2822\": \"who accused him?\"\n },\n {\n \"2823\": \"what was she named?\"\n },\n {\n \"2824\": \"what is her current position?\"\n },\n {\n \"2825\": \"when did the misdeed happen?\"\n },\n {\n \"2826\": \"what was her position when it occurred?\"\n },\n {\n \"2827\": \"what was the transgression?\"\n },\n {\n \"2828\": \"is she the first lady to accuse him of unwanted attention?\"\n },\n {\n \"2829\": \"who was the first?\"\n },\n {\n \"2830\": \"what was her position at the time of the offence?\"\n },\n {\n \"2831\": \"what charges did she bring?\"\n },\n {\n \"2832\": \"what were the offences in this case?\"\n },\n {\n \"2833\": \"only her?\"\n },\n {\n \"2834\": \"who else?\"\n },\n {\n \"2835\": \"was commenting his only offence in this case?\"\n },\n {\n \"2836\": \"what other wrong doing was noted?\"\n },\n {\n \"2837\": \"was anything specific noted in this case?\"\n },\n {\n \"2838\": \"what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2819\",\n \"answer\": \"Bob Filner\"\n },\n {\n \"question_id\": \"2820\",\n \"answer\": \"Mayor\"\n },\n {\n \"question_id\": \"2821\",\n \"answer\": \"San Diego\"\n },\n {\n \"question_id\": \"2822\",\n \"answer\": \"A former campaign staffer\"\n },\n {\n \"question_id\": \"2823\",\n \"answer\": \"Laura Fink\"\n },\n {\n \"question_id\": \"2824\",\n \"answer\": \"she runs a political consulting firm\"\n },\n {\n \"question_id\": \"2825\",\n \"answer\": \"in 2005\"\n },\n {\n \"question_id\": \"2826\",\n \"answer\": \"she was Filner's deputy campaign manager\"\n },\n {\n \"question_id\": \"2827\",\n \"answer\": \"he patted her \\\"posterior\\\"\"\n },\n {\n \"question_id\": \"2828\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2829\",\n \"answer\": \"Irene McCormack Jackson\"\n },\n {\n \"question_id\": \"2830\",\n \"answer\": \"Filner's spokeswoman,\"\n },\n {\n \"question_id\": \"2831\",\n \"answer\": \"she sued him for sexual harassment\"\n },\n {\n \"question_id\": \"2832\",\n \"answer\": \"Jackson said Filner subjected her to \\\"crude and disgusting\\\" comments\"\n },\n {\n \"question_id\": \"2833\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2834\",\n \"answer\": \"other women\"\n },\n {\n \"question_id\": \"2835\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2836\",\n \"answer\": \"inappropriate touching\"\n },\n {\n \"question_id\": \"2837\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2838\",\n \"answer\": \"Filner asked her to work without underwear\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- If you placed bets on Rachel McAdams and Taylor Kitsch joining the cast of \"True Detective,\" it's time to collect your winnings. \n\nAfter weeks of rumors, HBO has confirmed that McAdams, Kitsch and Kelly Reilly will also star in the second season of the network's acclaimed drama. \n\nHBO, which shares a parent company with CNN, announced in September that Colin Farrell and Vince Vaughn were going to be \"True Detective's\" season 2 leads. \n\nThe series, created and written by Nic Pizzolatto, follows a new story each season. \n\nIts first season, which premiered earlier this year, focused on two detectives embroiled in a years-long hunt for a serial killer. It was an immediate hit, and at the 2014 Emmys \"True Detective\" picked up 12 nominations. That included two best lead actor in a drama nods for stars Matthew McConaughey and Woody Harrelson. \n\nThe second season still involves detective work, but this time around the story is set in California. According to HBO, this season \"three police officers and a career criminal must navigate a web of conspiracy in the aftermath of a murder.\" \n\nColin Farrell plays a \"compromised detective\" named Ray Velcoro, \"whose allegiances are torn between his masters in a corrupt police department and the mobster who owns him.\" Vaughn stars as a criminal and entrepreneur named Frank Semyon, who's \"in danger of losing his empire when his move into legitimate enterprise is upended by the murder of a business partner.\" \n\n\"Sherlock Holmes\" actress Kelly Reilly will play the wife of Vaughn's character, and Rachel McAdams will play a county sheriff named Ani Bezzerides, whose \"uncompromising ethics put her at odds with others and the system she serves.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6991\": \"On which channel does True Detectives air?\"\n },\n {\n \"6992\": \"Which season is soon to air?\"\n },\n {\n \"6993\": \"Who will be the leads?\"\n },\n {\n \"6994\": \"Who wrote the series?\"\n },\n {\n \"6995\": \"Was the first season popular?\"\n },\n {\n \"6996\": \"How many Emmy nominations did it receive?\"\n },\n {\n \"6997\": \"Did it win any?\"\n },\n {\n \"6998\": \"Who were the lead actors of the first season?\"\n },\n {\n \"6999\": \"Who will play Ray Velcoro?\"\n },\n {\n \"7000\": \"And who will Vince Vaughn play?\"\n },\n {\n \"7001\": \"Who will play that character's wife?\"\n },\n {\n \"7002\": \"Who will play the county sheriff?\"\n },\n {\n \"7003\": \"Where will this season be set?\"\n },\n {\n \"7004\": \"What was the premise of the first season?\"\n },\n {\n \"7005\": \"What about the second season?\"\n },\n {\n \"7006\": \"Is one of the characters in the new season a seasoned criminal?\"\n },\n {\n \"7007\": \"Which character?\"\n },\n {\n \"7008\": \"Is the police department honest?\"\n },\n {\n \"7009\": \"Which character has strong ethics?\"\n },\n {\n \"7010\": \"Who else struggles with corruption and criminal ties?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6991\",\n \"answer\": \"HBO\"\n },\n {\n \"question_id\": \"6992\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"6993\",\n \"answer\": \"Colin Farrell and Vince Vaughn\"\n },\n {\n \"question_id\": \"6994\",\n \"answer\": \"Nic Pizzolatto\"\n },\n {\n \"question_id\": \"6995\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"6996\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"6997\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"6998\",\n \"answer\": \"Matthew McConaughey and Woody Harrelson\"\n },\n {\n \"question_id\": \"6999\",\n \"answer\": \"Colin Farrell\"\n },\n {\n \"question_id\": \"7000\",\n \"answer\": \"Frank Semyon\"\n },\n {\n \"question_id\": \"7001\",\n \"answer\": \"Kelly Reilly\"\n },\n {\n \"question_id\": \"7002\",\n \"answer\": \"Rachel McAdams\"\n },\n {\n \"question_id\": \"7003\",\n \"answer\": \"in California\"\n },\n {\n \"question_id\": \"7004\",\n \"answer\": \"It focused on two detectives embroiled in a years-long hunt for a serial killer\"\n },\n {\n \"question_id\": \"7005\",\n \"answer\": \"The second season still involves detective work\"\n },\n {\n \"question_id\": \"7006\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"7007\",\n \"answer\": \"Frank Semyon\"\n },\n {\n \"question_id\": \"7008\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"7009\",\n \"answer\": \"Ani Bezzerides does\"\n },\n {\n \"question_id\": \"7010\",\n \"answer\": \"Ray Velcoro\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 parody (; also called a spoof, send-up, take-off, or lampoon) is a work created to imitate, make fun of, or comment on an original work—its subject, author, style, or some other target—by means of satiric or ironic imitation. As the literary theorist Linda Hutcheon puts it, \"parody … is imitation, not always at the expense of the parodied text.\" Another critic, Simon Dentith, defines parody as \"any cultural practice which provides a relatively polemical allusive imitation of another cultural production or practice.\" Parody may be found in art or culture, including literature, music (although \"parody\" in music has an earlier, somewhat different meaning than for other art forms), animation, gaming, and film. \n\nThe writer and critic John Gross observes in his \"Oxford Book of Parodies\", that parody seems to flourish on territory somewhere between pastiche (\"a composition in another artist's manner, without satirical intent\") and burlesque (which \"fools around with the material of high literature and adapts it to low ends\"). Meanwhile, the \"Encyclopédie\" of Denis Diderot distinguishes between the parody and the burlesque, \"A good parody is a fine amusement, capable of amusing and instructing the most sensible and polished minds; the burlesque is a miserable buffoonery which can only please the populace.\" Historically, when a formula grows tired, as in the case of the moralistic melodramas in the 1910s, it retains value only as a parody, as demonstrated by the Buster Keaton shorts that mocked that genre.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85310\": \"Who wrote \\\"Oxford Book of Parodies?\\\"\"\n },\n {\n \"85311\": \"What Is his profession?\"\n },\n {\n \"85312\": \"He said parody flourishes somewhere between what and what?\"\n },\n {\n \"85313\": \"What's another word for a parody?\"\n },\n {\n \"85314\": \"What else?\"\n },\n {\n \"85315\": \"Does a parody make fun of someone or something?\"\n },\n {\n \"85316\": \"By what means?\"\n },\n {\n \"85317\": \"Who is Linda Hutcheon?\"\n },\n {\n \"85318\": \"Who wrote \\\"Encyclopedie\\\"\"\n },\n {\n \"85319\": \"Does he think a good parody is funny, even to scholars?\"\n },\n {\n \"85320\": \"What does he call burlesque?\"\n },\n {\n \"85321\": \"Who mocked melodramas?\"\n },\n {\n \"85322\": \"What was basically wrong with those melodramas?\"\n },\n {\n \"85323\": \"Who did Diderot think enjoyed burlesque?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85310\",\n \"answer\": \"John Gross\"\n },\n {\n \"question_id\": \"85311\",\n \"answer\": \"he is a writer\"\n },\n {\n \"question_id\": \"85312\",\n \"answer\": \"pastiche and burlesque\"\n },\n {\n \"question_id\": \"85313\",\n \"answer\": \"a spoof\"\n },\n {\n \"question_id\": \"85314\",\n \"answer\": \"a send-up\"\n },\n {\n \"question_id\": \"85315\",\n \"answer\": \"it can\"\n },\n {\n \"question_id\": \"85316\",\n \"answer\": \"imitation\"\n },\n {\n \"question_id\": \"85317\",\n \"answer\": \"a literary theorist\"\n },\n {\n \"question_id\": \"85318\",\n \"answer\": \"Denis Diderot\"\n },\n {\n \"question_id\": \"85319\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85320\",\n \"answer\": \"a miserable buffoonery\"\n },\n {\n \"question_id\": \"85321\",\n \"answer\": \"Buster Keaton\"\n },\n {\n \"question_id\": \"85322\",\n \"answer\": \"the formula grew tired\"\n },\n {\n \"question_id\": \"85323\",\n \"answer\": \"the populace\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Metacritic is a website that aggregates reviews of media products: music albums, video games, films, TV shows, and formerly, books. For each product, the scores from each review are averaged (a weighted average). Metacritic was created by Jason Dietz, Marc Doyle, and Julie Doyle Roberts in 1999. The site provides an excerpt from each review and hyperlinks to its source. A color of Green, Yellow or Red summarizes the critics' recommendations. It has been described as the video game industry's \"premier\" review aggregator. \n\nMetacritic's scoring converts each review into a percentage, either mathematically from the mark given, or which the site decides subjectively from a qualitative review. Before being averaged, the scores are weighted according to the critic's fame, stature, and volume of reviews. \n\nMetacritic was launched in July 1999 by Marc Doyle, his sister Julie Doyle Roberts, and a classmate from the University of Southern California law school, Jason Dietz. Rotten Tomatoes was already compiling movie reviews, but Doyle, Roberts, and Dietz saw an opportunity to cover a broader range of media. They sold Metacritic to CNET in 2005. CNET and Metacritic are now owned by the CBS Corporation. \n\nNick Wingfield of \"The Wall Street Journal\" wrote in September 2004: \"Mr. Doyle, 36, is now a senior product manager at CNET but he also acts as games editor of Metacritic\". Speaking of video games, Doyle said: \"A site like ours helps people cut through...unobjective promotional language\". \"By giving consumers, and web users specifically, early information on the objective quality of a game, not only are they more educated about their choices, but it forces publishers to demand more from their developers, license owners to demand more from their licensees, and eventually, hopefully, the games get better\". He added that the review process was not taken as seriously when unconnected magazines and websites provided reviews in isolation.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48796\": \"When did Metacritic begin?\"\n },\n {\n \"48797\": \"What month?\"\n },\n {\n \"48798\": \"How many people helped design it?\"\n },\n {\n \"48799\": \"Who are they?\"\n },\n {\n \"48800\": \"What is it?\"\n },\n {\n \"48801\": \"What is it a collection of?\"\n },\n {\n \"48802\": \"Of What?\"\n },\n {\n \"48803\": \"What does it do with the reviews scores?\"\n },\n {\n \"48804\": \"What kind of average?\"\n },\n {\n \"48805\": \"What is the review changed into?\"\n },\n {\n \"48806\": \"Who bought Metacritic?\"\n },\n {\n \"48807\": \"When?\"\n },\n {\n \"48808\": \"Who owns it now?\"\n },\n {\n \"48809\": \"Do they also own CNET?\"\n },\n {\n \"48810\": \"Who is the games editor?\"\n },\n {\n \"48811\": \"What is his other duty?\"\n },\n {\n \"48812\": \"How old is he?\"\n },\n {\n \"48813\": \"Who works for The Wall Street Journal?\"\n },\n {\n \"48814\": \"What does he do there?\"\n },\n {\n \"48815\": \"When did he write about Metacritic?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48796\",\n \"answer\": \"1999\"\n },\n {\n \"question_id\": \"48797\",\n \"answer\": \"July\"\n },\n {\n \"question_id\": \"48798\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48799\",\n \"answer\": \"Jason Dietz, Marc Doyle, and Julie Doyle Roberts\"\n },\n {\n \"question_id\": \"48800\",\n \"answer\": \"a website\"\n },\n {\n \"question_id\": \"48801\",\n \"answer\": \"reviews\"\n },\n {\n \"question_id\": \"48802\",\n \"answer\": \"media products\"\n },\n {\n \"question_id\": \"48803\",\n \"answer\": \"averages them?\"\n },\n {\n \"question_id\": \"48804\",\n \"answer\": \"weighted\"\n },\n {\n \"question_id\": \"48805\",\n \"answer\": \"a percentage\"\n },\n {\n \"question_id\": \"48806\",\n \"answer\": \"CNET\"\n },\n {\n \"question_id\": \"48807\",\n \"answer\": \"2005\"\n },\n {\n \"question_id\": \"48808\",\n \"answer\": \"the CBS Corporation\"\n },\n {\n \"question_id\": \"48809\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48810\",\n \"answer\": \"Mr. Doyle\"\n },\n {\n \"question_id\": \"48811\",\n \"answer\": \"senior product manager\"\n },\n {\n \"question_id\": \"48812\",\n \"answer\": \"36\"\n },\n {\n \"question_id\": \"48813\",\n \"answer\": \"Nick Wingfield\"\n },\n {\n \"question_id\": \"48814\",\n \"answer\": \"writes\"\n },\n {\n \"question_id\": \"48815\",\n \"answer\": \"September 2004\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 (TIME.com) -- Two of Emily Cunningham's three children have food allergies. And protecting her kids is taking toll on the family budget. \n\nWhen she was nine months old, Cunningham's four-year-old daughter Elena ate a spoonful of yogurt and broke out in hives. Elena is allergic to eggs, tree nuts, dairy and peanuts, and even brief contact with one of the these hard-to-avoid items is all it takes to set off a potentially life-threatening immune reaction. \n\nCunningham's eight-month-old son Wyatt has a bad dairy allergy too. \n\nIn order to keep their kids safe and healthy, Emily Cunningham, a stay-at-home mother from Charlotte, North Carolina who writes the AllergenMenuMom blog, and her husband keep a completely allergy-free home, buying only food products that are free of any trace of their children's triggers. \n\nBut that protection comes at a high price. Between breathing medications and epipens of epinephrine, a drug used to treat anaphylactic shock, the Cunninghams spend about $1,000 a month to safeguard their children from their allergies, and that's before the grocery bill. Emily estimates her family spends $80 a month just on rice milk. \n\nTIME.com: How nut allergies made me monogamous \n\nAbout 4% to 6% of U.S. children under age 18 have food allergies, and the latest statistics show this percentage may be on the rise. \n\nWhy so many kids are experiencing allergies to common food items still isn't clear, although experts suspect that some of the trend can be attributed to improved public health and sanitation efforts that may have made us too clean to build strong enough immunity to common allergens found in food and the environment. Kids not eating things like nuts and shellfish at an earlier age may also contribute to the rise in food allergies. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45704\": \"How man kids does Emily Cunningham have?\"\n },\n {\n \"45705\": \"Do they have allergies?\"\n },\n {\n \"45706\": \"Does this challenge her?\"\n },\n {\n \"45707\": \"How?\"\n },\n {\n \"45708\": \"Why is this?\"\n },\n {\n \"45709\": \"What do they buy?\"\n },\n {\n \"45710\": \"How much are these?\"\n },\n {\n \"45711\": \"Does she have to spend more than this?\"\n },\n {\n \"45712\": \"On what?\"\n },\n {\n \"45713\": \"How much is that?\"\n },\n {\n \"45714\": \"What are her kids' names?\"\n },\n {\n \"45715\": \"What is Elena allergic to?\"\n },\n {\n \"45716\": \"What about her son?\"\n },\n {\n \"45717\": \"Is this a common problem?\"\n },\n {\n \"45718\": \"How many kids have this problem?\"\n },\n {\n \"45719\": \"Why do people get allergies?\"\n },\n {\n \"45720\": \"Do doctors have any guesses?\"\n },\n {\n \"45721\": \"Like what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45704\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"45705\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"45706\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45707\",\n \"answer\": \"Its taking toll on the family budget.\"\n },\n {\n \"question_id\": \"45708\",\n \"answer\": \"Protection comes at a high price.\"\n },\n {\n \"question_id\": \"45709\",\n \"answer\": \"Breathing medications and epipens of epinephrine\"\n },\n {\n \"question_id\": \"45710\",\n \"answer\": \"About $1,000 a month.\"\n },\n {\n \"question_id\": \"45711\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45712\",\n \"answer\": \"The grocery bill.\"\n },\n {\n \"question_id\": \"45713\",\n \"answer\": \"$80 a month just on rice milk.\"\n },\n {\n \"question_id\": \"45714\",\n \"answer\": \"Elena and Wyatt.\"\n },\n {\n \"question_id\": \"45715\",\n \"answer\": \"Eggs, tree nuts, dairy and peanuts.\"\n },\n {\n \"question_id\": \"45716\",\n \"answer\": \"Dairy.\"\n },\n {\n \"question_id\": \"45717\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45718\",\n \"answer\": \"4% to 6% of U.S. children,\"\n },\n {\n \"question_id\": \"45719\",\n \"answer\": \"It isn't clear.\"\n },\n {\n \"question_id\": \"45720\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45721\",\n \"answer\": \"Not eating nuts and shellfish an earlier age.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Office of Management and Budget (OMB) is the largest office within the Executive Office of the President of the United States (EOP). OMB's most prominent function is to produce the President's Budget, but OMB also measures the quality of agency programs, policies, and procedures to see if they comply with the president's policies and coordinates inter-agency policy initiatives. \n\nThe current OMB Director is Mick Mulvaney. The OMB Director reports to the President, Vice President and the White House Chief of Staff. \n\nThe Bureau of the Budget, OMB's predecessor, was established in 1921 as a part of the Department of the Treasury by the Budget and Accounting Act of 1921, which was signed into law by president Warren G. Harding. The Bureau of the Budget was moved to the Executive Office of the President in 1939 and was run by Harold D. Smith during the government's rapid expansion of spending during the Second World War. James L. Sundquist, a staffer at the Bureau of the Budget described the relationship between the President and the Bureau as extremely close and of subsequent Bureau Directors as politicians and not public administrators. \n\nThe Bureau was reorganized into the Office of Management and Budget in 1970 during the Nixon administration. The first OMB included Roy Ash (head), Paul O'Neill (assistant director), Fred Malek (deputy director) and Frank Zarb (associate director) and two dozen others.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39549\": \"Who is the current director?\"\n },\n {\n \"39550\": \"what does OMB stand for?\"\n },\n {\n \"39551\": \"Doesthe director just report to one person?\"\n },\n {\n \"39552\": \"how many?\"\n },\n {\n \"39553\": \"who?\"\n },\n {\n \"39554\": \"What was it\\u2019s predecessor?\"\n },\n {\n \"39555\": \"When was that established?\"\n },\n {\n \"39556\": \"When was it reorganized?\"\n },\n {\n \"39557\": \"To what?\"\n },\n {\n \"39558\": \"Under what administration?\"\n },\n {\n \"39559\": \"What is it\\u2019s main function?\"\n },\n {\n \"39560\": \"Does it also do other things?\"\n },\n {\n \"39561\": \"could you give an example please?\"\n },\n {\n \"39562\": \"why?\"\n },\n {\n \"39563\": \"when was the bureau moved to the office of the president?\"\n },\n {\n \"39564\": \"who ran it?\"\n },\n {\n \"39565\": \"what was happening in the world at the time?\"\n },\n {\n \"39566\": \"Who was the first deputy director?\"\n },\n {\n \"39567\": \"name the employee who spoke about the relationships?\"\n },\n {\n \"39568\": \"who was the first head?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39549\",\n \"answer\": \"Mick Mulvaney\"\n },\n {\n \"question_id\": \"39550\",\n \"answer\": \"The Office of Management and Budget\"\n },\n {\n \"question_id\": \"39551\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39552\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"39553\",\n \"answer\": \"the President, Vice President and the White House Chief of Staff\"\n },\n {\n \"question_id\": \"39554\",\n \"answer\": \"The Bureau of the Budget\"\n },\n {\n \"question_id\": \"39555\",\n \"answer\": \"1921\"\n },\n {\n \"question_id\": \"39556\",\n \"answer\": \"1970\"\n },\n {\n \"question_id\": \"39557\",\n \"answer\": \"the Office of Management and Budget\"\n },\n {\n \"question_id\": \"39558\",\n \"answer\": \"the Nixon administration\"\n },\n {\n \"question_id\": \"39559\",\n \"answer\": \"to produce the President's Budget\"\n },\n {\n \"question_id\": \"39560\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39561\",\n \"answer\": \"it also measures the quality of agency programs, policies, and procedures\"\n },\n {\n \"question_id\": \"39562\",\n \"answer\": \"to see if they comply with the president's policies\"\n },\n {\n \"question_id\": \"39563\",\n \"answer\": \"in 1939\"\n },\n {\n \"question_id\": \"39564\",\n \"answer\": \"Harold D. Smith\"\n },\n {\n \"question_id\": \"39565\",\n \"answer\": \"the Second World War\"\n },\n {\n \"question_id\": \"39566\",\n \"answer\": \"Fred Malek\"\n },\n {\n \"question_id\": \"39567\",\n \"answer\": \"James L. Sundquist\"\n },\n {\n \"question_id\": \"39568\",\n \"answer\": \"Roy Ash\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nMORE DISCOVERIES \n\n\"You settled up with him in full?\" gasped Rick. \n\n\"Yes-- some time ago.\" \n\n\"Not for that stock in the Sunset Irrigation Company.\" \n\n\"I was not talking about the Irrigation Company. That is another affair. Your father was to see us about that on the morning when he-- er-- when he failed to come here. I-- er-- I thought he had gone back home to get certain documents which he stated he did not have with him.\" \n\n\"And you haven't seen or heard of him since?\" \n\n\"Not a word, Mr. Rover-- I give you my word.\" \n\n\"Did he leave any of his papers with you when he was here last?\" \n\n\"No.\" Jesse Pelter took up the telephone on his desk. \"Give me 2345 River!\" he said to Central. He turned to Dick. \"You will have to excuse me, Mr. Rover, I have some important business to transact.\" \n\n\"It isn't as important as finding my father,\". answered Dick, bluntly. \n\n\"I do not know how I can aid you.\" \n\n\"Perhaps you don't care to try,\" returned Dick, pointedly, as he arose. \n\n\"What do you mean?\" demanded the broker, and hanging up the telephone receiver, he, too, arose. \n\n\"Never mind what I mean, Mr. Pelter. If you will give me no aid, I'll find my father alone,\" and having thus spoken, Dick marched from the offices, leaving the broker staring after him curiously. \n\n\"Hum! Looks like a smart young man!\" murmured Jesse Pelter, to himself. \"And I thought Anderson Rover's boys were all school kids! This lad has grown up fast. I wonder what he'll do next? I guess I had better keep my eye on him.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57014\": \"Who wanted to find his father?\"\n },\n {\n \"57015\": \"What's his last name?\"\n },\n {\n \"57016\": \"Who's he questioning?\"\n },\n {\n \"57017\": \"What's his occupation?\"\n },\n {\n \"57018\": \"Was he helpful?\"\n },\n {\n \"57019\": \"Who is his father?\"\n },\n {\n \"57020\": \"Where was he before he vanished?\"\n },\n {\n \"57021\": \"Did he leave anything?\"\n },\n {\n \"57022\": \"What was he going to talk about earlier in the day?\"\n },\n {\n \"57023\": \"For what?\"\n },\n {\n \"57024\": \"Did he arrive?\"\n },\n {\n \"57025\": \"What documents did he not have?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57014\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"57015\",\n \"answer\": \"Rover\"\n },\n {\n \"question_id\": \"57016\",\n \"answer\": \"Jesse Pelter\"\n },\n {\n \"question_id\": \"57017\",\n \"answer\": \"broker\"\n },\n {\n \"question_id\": \"57018\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57019\",\n \"answer\": \"Anderson Rover\"\n },\n {\n \"question_id\": \"57020\",\n \"answer\": \"the offices\"\n },\n {\n \"question_id\": \"57021\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57022\",\n \"answer\": \"settling up\"\n },\n {\n \"question_id\": \"57023\",\n \"answer\": \"Not for that stock in the Sunset Irrigation Company\"\n },\n {\n \"question_id\": \"57024\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57025\",\n \"answer\": \"certain documents\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Alexandria, Virginia (CNN) -- A former Marine Corps reservist pleaded guilty Thursday to shooting at the Pentagon and other military-related buildings and to trying to desecrate graves at Arlington National Cemetery containing the remains of veterans who fought in Iraq and Afghanistan. \n\nYonathan Melaku entered a guilty plea to three counts: damaging U.S. property with a firearm, using a firearm in a crime of violence and attempting injury to veterans' memorials on U.S. property. \n\nMelaku, a 23-year-old naturalized U.S. citizen who was born in Ethiopia, was arrested June 17 at the cemetery. He had a backpack with four plastic bags each containing 5 pounds of ammonium nitrate, material commonly used in homemade explosives. He also had numerous 9 mm spent shell casings; black paint and a notebook with Arabic statements mentioning al Qaeda, Osama bin Laden, the Taliban and the \"Path to Jihad.\" \n\nIn the statement of facts document signed by Melaku, he admitted he \"intended to desecrate and injure grave markers by spray-painting the markers with Arabic statements and by leaving the ammonium nitrate he was carrying at the sites of these grave markers.\" \n\nMelaku did not have all the components needed to make a bomb. In a search of his home, investigators found a typed list that included various components including batteries, wire and a \"digital kitchen countdown timer.\" But he had not obtained all of those items. \n\nMelaku admitted to five shootings with a legally owned handgun at military buildings in Northern Virginia between October 17 and November 2 of 2010. He said he attacked the Pentagon, Marine and Coast Guard recruiting offices and he twice fired at the National Museum of the Marine Corps. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"94447\": \"Did Melaku have all the things he needed to make an explosive device?\"\n },\n {\n \"94448\": \"What was found in his home during a search?\"\n },\n {\n \"94449\": \"What was on the list?\"\n },\n {\n \"94450\": \"Did he enter a plea in court?\"\n },\n {\n \"94451\": \"Was it guilty or not guilty?\"\n },\n {\n \"94452\": \"To how many counts?\"\n },\n {\n \"94453\": \"What did he damage with a gun?\"\n },\n {\n \"94454\": \"Was he formerly a part of the U.S. Military?\"\n },\n {\n \"94455\": \"Which branch?\"\n },\n {\n \"94456\": \"Which cemetery were the graves located in?\"\n },\n {\n \"94457\": \"How old is Melaku?\"\n },\n {\n \"94458\": \"Where was he born?\"\n },\n {\n \"94459\": \"How many plastic bags were in his backpack?\"\n },\n {\n \"94460\": \"What was in them?\"\n },\n {\n \"94461\": \"What was in his notebook?\"\n },\n {\n \"94462\": \"How did he plan on desecrating the graves?\"\n },\n {\n \"94463\": \"How many shootings did he admit to?\"\n },\n {\n \"94464\": \"Was the gun he used obtained legally?\"\n },\n {\n \"94465\": \"The cemetery contained the graves of veterans who fought in which wars?\"\n },\n {\n \"94466\": \"What date was Melaku arrested?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"94447\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"94448\",\n \"answer\": \"a typed list\"\n },\n {\n \"question_id\": \"94449\",\n \"answer\": \"various components including batteries, wire and a \\\"digital kitchen countdown timer.\"\n },\n {\n \"question_id\": \"94450\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94451\",\n \"answer\": \"guilty\"\n },\n {\n \"question_id\": \"94452\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"94453\",\n \"answer\": \"veterans' memorials\"\n },\n {\n \"question_id\": \"94454\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94455\",\n \"answer\": \"Marine Corps\"\n },\n {\n \"question_id\": \"94456\",\n \"answer\": \"Arlington National Cemetery\"\n },\n {\n \"question_id\": \"94457\",\n \"answer\": \"23\"\n },\n {\n \"question_id\": \"94458\",\n \"answer\": \"Ethiopia\"\n },\n {\n \"question_id\": \"94459\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"94460\",\n \"answer\": \"each containing 5 pounds of ammonium nitrate\"\n },\n {\n \"question_id\": \"94461\",\n \"answer\": \"Arabic statements\"\n },\n {\n \"question_id\": \"94462\",\n \"answer\": \"spray-painting the markers with Arabic statements\"\n },\n {\n \"question_id\": \"94463\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"94464\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"94465\",\n \"answer\": \"Iraq and Afghanistan.\"\n },\n {\n \"question_id\": \"94466\",\n \"answer\": \"June 17\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 11 \n\nLittle had Mrs. Dashwood or her daughters imagined when they first came into Devonshire, that so many engagements would arise to occupy their time as shortly presented themselves, or that they should have such frequent invitations and such constant visitors as to leave them little leisure for serious employment. Yet such was the case. When Marianne was recovered, the schemes of amusement at home and abroad, which Sir John had been previously forming, were put into execution. The private balls at the park then began; and parties on the water were made and accomplished as often as a showery October would allow. In every meeting of the kind Willoughby was included; and the ease and familiarity which naturally attended these parties were exactly calculated to give increasing intimacy to his acquaintance with the Dashwoods, to afford him opportunity of witnessing the excellencies of Marianne, of marking his animated admiration of her, and of receiving, in her behaviour to himself, the most pointed assurance of her affection. \n\nElinor could not be surprised at their attachment. She only wished that it were less openly shewn; and once or twice did venture to suggest the propriety of some self-command to Marianne. But Marianne abhorred all concealment where no real disgrace could attend unreserve; and to aim at the restraint of sentiments which were not in themselves illaudable, appeared to her not merely an unnecessary effort, but a disgraceful subjection of reason to common-place and mistaken notions. Willoughby thought the same; and their behaviour at all times, was an illustration of their opinions. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40022\": \"where did Mrs Dashwood gone?\"\n },\n {\n \"40023\": \"who did she go with?\"\n },\n {\n \"40024\": \"were they busy?\"\n },\n {\n \"40025\": \"with what?\"\n },\n {\n \"40026\": \"and what else?\"\n },\n {\n \"40027\": \"did they know this would happen?\"\n },\n {\n \"40028\": \"who was interested in Marianne?\"\n },\n {\n \"40029\": \"who was included in every meeting?\"\n },\n {\n \"40030\": \"who had organised entertainment in the past?\"\n },\n {\n \"40031\": \"were there events held in the park?\"\n },\n {\n \"40032\": \"what about the water?\"\n },\n {\n \"40033\": \"what kind of events were held in the park?\"\n },\n {\n \"40034\": \"and on the water?\"\n },\n {\n \"40035\": \"were the events held every day?\"\n },\n {\n \"40036\": \"what determined how often they would be held?\"\n },\n {\n \"40037\": \"so would you say the events were subject to the weather?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40022\",\n \"answer\": \"Devonshire\"\n },\n {\n \"question_id\": \"40023\",\n \"answer\": \"Her daughters\"\n },\n {\n \"question_id\": \"40024\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40025\",\n \"answer\": \"Many engagements\"\n },\n {\n \"question_id\": \"40026\",\n \"answer\": \"Frequent invitations\"\n },\n {\n \"question_id\": \"40027\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40028\",\n \"answer\": \"Sir John\"\n },\n {\n \"question_id\": \"40029\",\n \"answer\": \"Willoughby\"\n },\n {\n \"question_id\": \"40030\",\n \"answer\": \"Sir John\"\n },\n {\n \"question_id\": \"40031\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40032\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40033\",\n \"answer\": \"Private balls\"\n },\n {\n \"question_id\": \"40034\",\n \"answer\": \"Parties\"\n },\n {\n \"question_id\": \"40035\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40036\",\n \"answer\": \"As often as a showery October would allow.\"\n },\n {\n \"question_id\": \"40037\",\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 VI. OF HOW ANDREA BECAME LOVE-SICK \n\nWith what fictions I could call to mind I put off Andrea's questions touching the peculiar fashion of St. Auban's leave-taking. Tell him the truth and expose to him the situation whereof he was himself the unconscious centre I dared not, lest his high-spirited impetuosity should cause him to take into his own hands the reins of the affair, and thus drive himself into irreparable disaster. \n\nAndrea himself showed scant concern, however, and was luckily content with my hurriedly invented explanations; his thoughts had suddenly found occupation in another and a gentler theme than the ill-humour of men, and presently his tongue betrayed them when he drew the conversation to the ladies to whom he had resigned his apartments. \n\n\"Pardieu! Gaston,\" he burst out, \"she is a lovely maid--saw you ever a bonnier?\" \n\n\"Indeed she is very beautiful,\" I answered, laughing to myself at the thought of how little he dreamt that it was of Yvonne St. Albaret de Canaples that he spoke, and not minded for the while to enlighten him. \n\n\"If she be as kind and gentle as she is beautiful, Gaston, well--Uncle Giulio's plans are likely to suffer shipwreck. I shall not leave Choisy until I have spoken to her; in fact, I shall not leave until she leaves.\" \n\n\"Nevertheless, we shall still be able to set out, as we had projected, after dining, for in an hour, or two at most, they will proceed on their journey.\" \n\nHe was silent for some moments, then: \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3632\": \"Who is Andrea?\"\n },\n {\n \"3633\": \"was it reciprocated?\"\n },\n {\n \"3634\": \"was he focused on it?\"\n },\n {\n \"3635\": \"was he entertaining other romantinc partners?\"\n },\n {\n \"3636\": \"Who was he having over to his place?\"\n },\n {\n \"3637\": \"Who was Gaston\"\n },\n {\n \"3638\": \"who were they talking about?\"\n },\n {\n \"3639\": \"who did they refer to as beautiful?\"\n },\n {\n \"3640\": \"was she the maid?\"\n },\n {\n \"3641\": \"What were they doing before setting out?\"\n },\n {\n \"3642\": \"how long until they start their adventure?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3632\",\n \"answer\": \"a man who is in love\"\n },\n {\n \"question_id\": \"3633\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3634\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3635\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"3636\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"3637\",\n \"answer\": \"the narrator\"\n },\n {\n \"question_id\": \"3638\",\n \"answer\": \"Yvonne St. Albaret de Canaples\"\n },\n {\n \"question_id\": \"3639\",\n \"answer\": \"Yvonne St. Albaret de Canaples\"\n },\n {\n \"question_id\": \"3640\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3641\",\n \"answer\": \"dining\"\n },\n {\n \"question_id\": \"3642\",\n \"answer\": \"an hour or two at most\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A pub /pʌb/, or public house is, despite its name, a private house, but is called a public house because it is licensed to sell alcohol to the general public. It is a drinking establishment in Britain, Ireland, New Zealand, Australia, Canada, Denmark and New England. In many places, especially in villages, a pub can be the focal point of the community. The writings of Samuel Pepys describe the pub as the heart of England. \n\nThe history of pubs can be traced back to Roman taverns, through the Anglo-Saxon alehouse to the development of the modern tied house system in the 19th century. \n\nHistorically, pubs have been socially and culturally distinct from cafés, bars and German beer halls. Most pubs offer a range of beers, wines, spirits, and soft drinks and snacks. Traditionally the windows of town pubs were of smoked or frosted glass to obscure the clientele from the street but from the 1990s onwards, there has been a move towards clear glass, in keeping with brighter interiors.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43139\": \"What does a public house sell?\"\n },\n {\n \"43140\": \"to who?\"\n },\n {\n \"43141\": \"What is described as the heart of England?\"\n },\n {\n \"43142\": \"what is the pub considered to the community?\"\n },\n {\n \"43143\": \"Are pubs and bars the same?\"\n },\n {\n \"43144\": \"What do they offer?\"\n },\n {\n \"43145\": \"Do they have windows?\"\n },\n {\n \"43146\": \"what do they look like?\"\n },\n {\n \"43147\": \"why?\"\n },\n {\n \"43148\": \"Has that changed recently?\"\n },\n {\n \"43149\": \"when?\"\n },\n {\n \"43150\": \"What changed then?\"\n },\n {\n \"43151\": \"why?\"\n },\n {\n \"43152\": \"Where is the history of pubs traced back to?\"\n },\n {\n \"43153\": \"what was the name of the ale house?\"\n },\n {\n \"43154\": \"Who wrote about the heart of england?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43139\",\n \"answer\": \"alcohol\"\n },\n {\n \"question_id\": \"43140\",\n \"answer\": \"public house is, despite its name, a private house, but is called a public house because it is licensed to sell alcohol to the general public\"\n },\n {\n \"question_id\": \"43141\",\n \"answer\": \"the pub\"\n },\n {\n \"question_id\": \"43142\",\n \"answer\": \"focal point\"\n },\n {\n \"question_id\": \"43143\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"43144\",\n \"answer\": \"range of beers, wines, spirits, and soft drinks and snacks.\"\n },\n {\n \"question_id\": \"43145\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43146\",\n \"answer\": \"frosted glass\"\n },\n {\n \"question_id\": \"43147\",\n \"answer\": \"to obscure the clientele from the street\"\n },\n {\n \"question_id\": \"43148\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"43149\",\n \"answer\": \"the 1990s\"\n },\n {\n \"question_id\": \"43150\",\n \"answer\": \"move towards clear glass\"\n },\n {\n \"question_id\": \"43151\",\n \"answer\": \"in keeping with brighter interiors.\"\n },\n {\n \"question_id\": \"43152\",\n \"answer\": \"Roman taverns\"\n },\n {\n \"question_id\": \"43153\",\n \"answer\": \"Anglo-Saxon\"\n },\n {\n \"question_id\": \"43154\",\n \"answer\": \"Samuel Pepys\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII \n\nThe \"Doll's House\" was a success. Mrs. Schoville ecstasized over it in terms so immeasurable, so unqualifiable, that Jacob Welse, standing near, bent a glittering gaze upon her plump white throat and unconsciously clutched and closed his hand on an invisible windpipe. Dave Harney proclaimed its excellence effusively, though he questioned the soundness of Nora's philosophy and swore by his Puritan gods that Torvald was the longest-eared Jack in two hemispheres. Even Miss Mortimer, antagonistic as she was to the whole school, conceded that the players had redeemed it; while Matt McCarthy announced that he didn't blame Nora darlin' the least bit, though he told the Gold Commissioner privately that a song or so and a skirt dance wouldn't have hurt the performance. \n\n\"Iv course the Nora girl was right,\" he insisted to Harney, both of whom were walking on the heels of Frona and St. Vincent. \"I'd be seein'--\" \n\n\"Rubber--\" \n\n\"Rubber yer gran'mother!\" Matt wrathfully exclaimed. \n\n\"Ez I was sayin',\" Harney continued, imperturbably, \"rubber boots is goin' to go sky-high 'bout the time of wash-up. Three ounces the pair, an' you kin put your chips on that for a high card. You kin gather 'em in now for an ounce a pair and clear two on the deal. A cinch, Matt, a dead open an' shut.\" \n\n\"The devil take you an' yer cinches! It's Nora darlin' I have in me mind the while.\" \n\nThey bade good-by to Frona and St. Vincent and went off disputing under the stars in the direction of the Opera House. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"727\": \"Who was extremely happy?\"\n },\n {\n \"728\": \"What did Jacob pretend to choke?\"\n },\n {\n \"729\": \"What was Dave's religion?\"\n },\n {\n \"730\": \"Who was the longest-eared Jack?\"\n },\n {\n \"731\": \"Was the play a success?\"\n },\n {\n \"732\": \"What did Miss Mortimer think of the actors?\"\n },\n {\n \"733\": \"Who were Matt and Harney following?\"\n },\n {\n \"734\": \"Where did they go next?\"\n },\n {\n \"735\": \"What chapter is this?\"\n },\n {\n \"736\": \"Did Matt blame Nora?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"727\",\n \"answer\": \"Mrs. Schoville\"\n },\n {\n \"question_id\": \"728\",\n \"answer\": \"Her throat\"\n },\n {\n \"question_id\": \"729\",\n \"answer\": \"Puritan\"\n },\n {\n \"question_id\": \"730\",\n \"answer\": \"Torvald.\"\n },\n {\n \"question_id\": \"731\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"732\",\n \"answer\": \"They had redeemed the play.\"\n },\n {\n \"question_id\": \"733\",\n \"answer\": \"Frona and St. Vincent.\"\n },\n {\n \"question_id\": \"734\",\n \"answer\": \"Opera House\"\n },\n {\n \"question_id\": \"735\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"736\",\n \"answer\": \"No\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Fernando Alonso savored the sweet taste of victory in front of his home fans after kickstarting his Formula One title bid with a commanding victory in Sunday's Spanish Grand Prix. \n\nThe two-time world champion won by more than nine seconds from Lotus' Kimi Raikkonen after starting from fifth on the grid, as he reduced his deficit behind overall leader Sebastian Vettel to 17 points. \n\n\"It's very special winning at home, it doesn't matter how many times you do, it's always like starting from zero,\" said the 31-year-old, whose only other victory at the Circuit de Catalunya was back in 2006 in the same season he won his second world title with Renault. \n\n\"It was fantastically emotional and the fans really helped because you feel the support from everyone. \n\n\"The last laps are very long because you want the race to finish as soon as possible, but I'm very happy for the team.\" \n\nF1 interactive: Latest results and standings \n\nIt was a good day for Ferrari, as Felipe Massa bounced back from the three-place grid penalty that dropped him to ninth at the start, with the Brazilian claiming third on the podium ahead of Vettel and the German's Red Bull teammate Mark Webber. \n\n\"I was a little disappointed after qualifying yesterday, but the race was very good for us and we were very aggressive,\" Massa said. \n\n\"We struggled a bit on the tires to survive in a good way -- and the race was very good for us.\" \n\nAlonso, who made a flying start, had four pit stops as opposed to the three of Raikkonen due to an early puncture but was able to take the checkered flag for the 32nd time in his career to move above Lewis Hamilton into third place overall. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52077\": \"Who won the Spanish Grand Prix?\"\n },\n {\n \"52078\": \"When?\"\n },\n {\n \"52079\": \"What place did he start in?\"\n },\n {\n \"52080\": \"How much did he win by?\"\n },\n {\n \"52081\": \"Who was the leader overall?\"\n },\n {\n \"52082\": \"How far behind him is Alonso?\"\n },\n {\n \"52083\": \"How many times has he been a World Champion?\"\n },\n {\n \"52084\": \"What title is he trying to get?\"\n },\n {\n \"52085\": \"Where was he when he won?\"\n },\n {\n \"52086\": \"How old is he?\"\n },\n {\n \"52087\": \"How do the fans help?\"\n },\n {\n \"52088\": \"When did he win at his home track previously?\"\n },\n {\n \"52089\": \"What is the name of the track?\"\n },\n {\n \"52090\": \"What else happened that season?\"\n },\n {\n \"52091\": \"With who?\"\n },\n {\n \"52092\": \"How many pit stops did he have?\"\n },\n {\n \"52093\": \"What about Raikkonen?\"\n },\n {\n \"52094\": \"Why?\"\n },\n {\n \"52095\": \"How many times did he win?\"\n },\n {\n \"52096\": \"What place did that put him in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52077\",\n \"answer\": \"Fernando Alonso\"\n },\n {\n \"question_id\": \"52078\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"52079\",\n \"answer\": \"fifth\"\n },\n {\n \"question_id\": \"52080\",\n \"answer\": \"more the nine seconds\"\n },\n {\n \"question_id\": \"52081\",\n \"answer\": \"Sebastian Vettel\"\n },\n {\n \"question_id\": \"52082\",\n \"answer\": \"17 points\"\n },\n {\n \"question_id\": \"52083\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"52084\",\n \"answer\": \"Formula One\"\n },\n {\n \"question_id\": \"52085\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"52086\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"52087\",\n \"answer\": \"he could feel support\"\n },\n {\n \"question_id\": \"52088\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"52089\",\n \"answer\": \"Circuit de Catalunya\"\n },\n {\n \"question_id\": \"52090\",\n \"answer\": \"he won his second world title\"\n },\n {\n \"question_id\": \"52091\",\n \"answer\": \"Renault\"\n },\n {\n \"question_id\": \"52092\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"52093\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"52094\",\n \"answer\": \"a puncture\"\n },\n {\n \"question_id\": \"52095\",\n \"answer\": \"32\"\n },\n {\n \"question_id\": \"52096\",\n \"answer\": \"third\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- The Northwestern football union case is going to Capitol Hill next week. \n\nMinnesota Republican John Kline, chairman of the House Education and Workforce Committee, said in a news release that the committee will hold hearings Thursday on the National Labor Relations Board's recent decision to categorize football players at Northwestern University as employees who can unionize and seek benefits. \n\nKline questioned the decision. \n\n\"The NLRB's decision represents a radical departure from longstanding federal labor policies,\" Kline said. \"Classifying student athletes as employees threatens to fundamentally alter college sports, as well as reduce education access and opportunity. The committee has a responsibility to thoroughly examine how the NLRB's decision will affect students and their ability to receive a quality education.\" \n\nKline isn't alone in his skepticism. The ruling has been divisive within the world of college sport and in politics. Several state-level politicians have proposed legislation because of the ruling. \n\nThe communications director for the committee, Alexandra Haynes Sollberger, told CNN that a witness list for the hearing has not yet been released. \n\nTeam holds union vote, but result is cliffhanger \n\nWhen contacted Friday afternoon, Ramogi Huma, a leading force behind the union and the president of the National College Players Association, said he had just learned of the hearing and didn't have any details. \n\nIn February, the National Labor Relations Board in Chicago ruled that Northwestern's football players are considered employees of the university, since they make money for their university and are compensated with tuition. The judge ruled they often have to devote more than 40 hours a week to sport and sometimes sacrifice classwork. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50812\": \"What is going to court?\"\n },\n {\n \"50813\": \"Who is John Kline?\"\n },\n {\n \"50814\": \"Where is he from?\"\n },\n {\n \"50815\": \"What political party was he?\"\n },\n {\n \"50816\": \"What was the football players categorized as?\"\n },\n {\n \"50817\": \"What can they do now?\"\n },\n {\n \"50818\": \"What does this ruling threaten?\"\n },\n {\n \"50819\": \"When are hearings held?\"\n },\n {\n \"50820\": \"Who is Alexandra Haynes Solberger?\"\n },\n {\n \"50821\": \"Who is Ramogi Huma?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"50812\",\n \"answer\": \"Northwestern football union case\"\n },\n {\n \"question_id\": \"50813\",\n \"answer\": \"chairman of the House Education and Workforce Committee,\"\n },\n {\n \"question_id\": \"50814\",\n \"answer\": \"Minnesota\"\n },\n {\n \"question_id\": \"50815\",\n \"answer\": \"Republican\"\n },\n {\n \"question_id\": \"50816\",\n \"answer\": \"Employess\"\n },\n {\n \"question_id\": \"50817\",\n \"answer\": \"Unionize and seek benefits\"\n },\n {\n \"question_id\": \"50818\",\n \"answer\": \"Alter college sports\"\n },\n {\n \"question_id\": \"50819\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"50820\",\n \"answer\": \"communications director for the committee\"\n },\n {\n \"question_id\": \"50821\",\n \"answer\": \"president of the National College Players Assocation\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 is well known that Albert Einstein was one of the greatest scientists of all time and he was also a really great person. Here are some interesting things about him. When Einstein started to work in America, someone asked him what he needed. He said he needed a desk, some paper and a pencil. He also asked for a big waste-paper basket to hold all of his mistakes. This shows that he knew even the cleverest man in the world can only learn by making mistakes. Einstein regarded time as very important. He never wore socks and he thought putting on socks was a waste of time as people already wore shoes. He also thought it was a waste of time remembering things that could quickly be found in a book. That's why he never remembered his own phone number, which was in the phone book. He knew what was worth remembering. It is true that if we are going to do great things in our lives, we can not waste our time. Einstein liked to joke too. Once in an exam a student asked him why all the questions were the same as last year's. Einstein replied the questions were the same but the answers were different! ,A, B, C, D,,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72767\": \"What scientist is mentioned?\"\n },\n {\n \"72768\": \"What country did he work in?\"\n },\n {\n \"72769\": \"Did he ever make mistakes?\"\n },\n {\n \"72770\": \"Did he admit to it?\"\n },\n {\n \"72771\": \"Did Einstein like to waste time?\"\n },\n {\n \"72772\": \"Did he think everything should be remembered?\"\n },\n {\n \"72773\": \"Did he have any quirks regarding his clothing?\"\n },\n {\n \"72774\": \"What is something he never wore?\"\n },\n {\n \"72775\": \"Why not?\"\n },\n {\n \"72776\": \"Did he memorize his phone number?\"\n },\n {\n \"72777\": \"Why not?\"\n },\n {\n \"72778\": \"When he was working, why did he need a trash can?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72767\",\n \"answer\": \"Albert Einstein\"\n },\n {\n \"question_id\": \"72768\",\n \"answer\": \"America\"\n },\n {\n \"question_id\": \"72769\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72770\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72771\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72772\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72773\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72774\",\n \"answer\": \"socks\"\n },\n {\n \"question_id\": \"72775\",\n \"answer\": \"he thought putting on socks was a waste of time\"\n },\n {\n \"question_id\": \"72776\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72777\",\n \"answer\": \"He thought it was a waste of time\"\n },\n {\n \"question_id\": \"72778\",\n \"answer\": \"to hold all of his mistakes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 terms upper case and lower case can be written as two consecutive words, connected with a hyphen (upper-case and lower-case), or as a single word (uppercase and lowercase). These terms originated from the common layouts of the shallow drawers called type cases used to hold the movable type for letterpress printing. Traditionally, the capital letters were stored in a separate case that was located above the case that held the small letters, and the name proved easy to remember since capital letters are taller. \n\nThe convention followed by many British publishers (including scientific publishers, like Nature, magazines, like The Economist and New Scientist, and newspapers, like The Guardian and The Times) and U.S. newspapers is to use sentence-style capitalisation in headlines, where capitalisation follows the same rules that apply for sentences. This convention is usually called sentence case. It may also be applied to publication titles, especially in bibliographic references and library catalogues. Examples of global publishers whose English-language house styles prescribe sentence-case titles and headings include the International Organization for Standardization.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59217\": \"Is sentence case a requirement or a convention?\"\n },\n {\n \"59218\": \"What titles might it be applied to?\"\n },\n {\n \"59219\": \"Especially in which type of references?\"\n },\n {\n \"59220\": \"And also, what type of catalogues?\"\n },\n {\n \"59221\": \"What organization does ISO stand for?\"\n },\n {\n \"59222\": \"Are they a global publisher?\"\n },\n {\n \"59223\": \"Do they have an English language house style?\"\n },\n {\n \"59224\": \"What must their titles and headings use?\"\n },\n {\n \"59225\": \"How many words can the terms upper and lower case be written as?\"\n },\n {\n \"59226\": \"What can they be connected with?\"\n },\n {\n \"59227\": \"Were the drawers deep?\"\n },\n {\n \"59228\": \"What was stored in the drawers?\"\n },\n {\n \"59229\": \"What were they called?\"\n },\n {\n \"59230\": \"Were capital letters stored in the same type case?\"\n },\n {\n \"59231\": \"Where was its case located?\"\n },\n {\n \"59232\": \"Are capital letters taller or shorter?\"\n },\n {\n \"59233\": \"What country initially followed this convention?\"\n },\n {\n \"59234\": \"What type of publisher was Nature?\"\n },\n {\n \"59235\": \"What kind of publication was The Guardian?\"\n },\n {\n \"59236\": \"What's another newspaper that used this convention?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59217\",\n \"answer\": \"Convention\"\n },\n {\n \"question_id\": \"59218\",\n \"answer\": \"Publication\"\n },\n {\n \"question_id\": \"59219\",\n \"answer\": \"Bibliographic references\"\n },\n {\n \"question_id\": \"59220\",\n \"answer\": \"library catalogues.\"\n },\n {\n \"question_id\": \"59221\",\n \"answer\": \"International Organization for Standardization.\"\n },\n {\n \"question_id\": \"59222\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59223\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59224\",\n \"answer\": \"Sentence-case\"\n },\n {\n \"question_id\": \"59225\",\n \"answer\": \"Twi\"\n },\n {\n \"question_id\": \"59226\",\n \"answer\": \"A hyphen\"\n },\n {\n \"question_id\": \"59227\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59228\",\n \"answer\": \"Movable type for letterpress printing\"\n },\n {\n \"question_id\": \"59229\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"59230\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59231\",\n \"answer\": \"Above the case\"\n },\n {\n \"question_id\": \"59232\",\n \"answer\": \"taller.\"\n },\n {\n \"question_id\": \"59233\",\n \"answer\": \"Britan\"\n },\n {\n \"question_id\": \"59234\",\n \"answer\": \"Scientific\"\n },\n {\n \"question_id\": \"59235\",\n \"answer\": \"Newspaper\"\n },\n {\n \"question_id\": \"59236\",\n \"answer\": \"The Times\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ST. GEORGE, Utah (CNN) -- A young man whose arranged marriage to a young cousin led to the conviction of polygamist sect leader Warren Jeffs was charged Wednesday with her rape. \n\nProsecutors filed the rape charge against Allen Steed, 26, a day after a jury found Jeffs guilty of two rape-accomplice counts in connection with Steed's ill-fated 2001 marriage to Elissa Wall. \n\nJurors found that Jeffs used his authority as leader of the Fundamentalist Church of Jesus Christ of Latter Day Saints, or FLDS, to push the girl into a marriage she did not want. \n\nSteed was 19 and his bride, who also was his first cousin, was 14 when Jeffs \"sealed\" them in spiritual marriage at a motel in Caliente, Nevada, where many FLDS weddings were performed. Three other couples also were married that day in separate ceremonies, according to testimony. \n\nSteed is accused of having sex with the girl against her will several weeks into the marriage. \n\nSteed testified for the defense at Jeffs' trial. He said his new wife was affectionate to him in private, but cold in public. He denied that he or Jeffs had forced sex on her. \n\nWall agreed to be identified publicly as the trial ended in hopes of encouraging other women who feel trapped by polygamy to come forward. Watch Wall urge other girls to be brave » \n\nShe testified that she told Steed she was not ready and that her first sexual encounter made her feel dirty, used and trapped. \n\nHer pleas to church leaders to end the marriage were ignored, and Jeffs told her to submit \"mind, body and soul\" to her new husband, Wall told the jury. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9208\": \"who is a sect leader?\"\n },\n {\n \"9209\": \"what was he charged with?\"\n },\n {\n \"9210\": \"on what day?\"\n },\n {\n \"9211\": \"how old is Allen Steed?\"\n },\n {\n \"9212\": \"who was his bride?\"\n },\n {\n \"9213\": \"were they related?\"\n },\n {\n \"9214\": \"how so?\"\n },\n {\n \"9215\": \"Did she tell steed she was ready?\"\n },\n {\n \"9216\": \"Did Wall agree to be publically identified?\"\n },\n {\n \"9217\": \"Who was leader of FLDS\"\n },\n {\n \"9218\": \"did he use his authority to force her into marriage?\"\n },\n {\n \"9219\": \"where were FLDS weddings performed?\"\n },\n {\n \"9220\": \"how many other couples were married that day\"\n },\n {\n \"9221\": \"was the wife nice in private?\"\n },\n {\n \"9222\": \"in public?\"\n },\n {\n \"9223\": \"what year were they married?\"\n },\n {\n \"9224\": \"was it a good marriage?\"\n },\n {\n \"9225\": \"how old was she when she was sealed to him in marriage?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9208\",\n \"answer\": \"Warren Jeffs\"\n },\n {\n \"question_id\": \"9209\",\n \"answer\": \"rape\"\n },\n {\n \"question_id\": \"9210\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"9211\",\n \"answer\": \"19\"\n },\n {\n \"question_id\": \"9212\",\n \"answer\": \"Elissa Wall\"\n },\n {\n \"question_id\": \"9213\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9214\",\n \"answer\": \"first cousin\"\n },\n {\n \"question_id\": \"9215\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9216\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9217\",\n \"answer\": \"Jeffs\"\n },\n {\n \"question_id\": \"9218\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9219\",\n \"answer\": \"a motel in Caliente, Nevada\"\n },\n {\n \"question_id\": \"9220\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"9221\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9222\",\n \"answer\": \"cold\"\n },\n {\n \"question_id\": \"9223\",\n \"answer\": \"2001\"\n },\n {\n \"question_id\": \"9224\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9225\",\n \"answer\": \"14\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Parent fans, both dads and mums, are shaming British football with their bad behaviour. Hundreds of junior soccer matches had to be abandoned last season because parent fans were swearing or even fighting on the touchline. At schools and clubs across the UK, hundreds of more matches also had to be called off for the same reason. \n\nReports tell of abuse at referees , players and coaches and fight breaking out on the touchline. \n\nEnough is enough Peter Wright, a keen referee of junior soccer, finally hung up his boots last season. He decided to walk away for good. He said \"Every week I have had to take abuse and I've had enough of it.\" \n\n\"Parents' behaviour is reducing many school teachers, referees, coaches and volunteers to despair.\" \n\nThe kids are suffering Jim Peter, a referee, said, \"We are getting desperate and the kids are suffering.\" He described the way spectators behave as \n\nand getting worse year by year. The big question is why so many parents shame their children in this way. Aggressive Behavior Contracts may have to be introduced to stop the violence and abuse. If not, the game will suffer. \n\nSign up to good conduct Last season players and parents were made to sign a new good behavior contract. \"If a parent breaks the contract, I take his or her child off the pitch and get him or her to explain why I have done so to the child,\" said Marc Nash, Wallsend's assistant leader. \n\n\"The next step is to ban both the parent and the child, but happily, so far this has not been necessary.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45927\": \"Who they are shaming?\"\n },\n {\n \"45928\": \"Were the matches postponed?\"\n },\n {\n \"45929\": \"In which country?\"\n },\n {\n \"45930\": \"Who said that enough is enough?\"\n },\n {\n \"45931\": \"Who is he?\"\n },\n {\n \"45932\": \"Did he quit?\"\n },\n {\n \"45933\": \"How often he was abused?\"\n },\n {\n \"45934\": \"Who are the perpetrators?\"\n },\n {\n \"45935\": \"Who had to take the bullet?\"\n },\n {\n \"45936\": \"Who said that?\"\n },\n {\n \"45937\": \"who is he?\"\n },\n {\n \"45938\": \"Is it getting any better?\"\n },\n {\n \"45939\": \"What's the big question here?\"\n },\n {\n \"45940\": \"What is the solution?\"\n },\n {\n \"45941\": \"If not what will happen to the game?\"\n },\n {\n \"45942\": \"What parents were to sign?\"\n },\n {\n \"45943\": \"If they break what happen to their kid?\"\n },\n {\n \"45944\": \"Who said that?\"\n },\n {\n \"45945\": \"Who is he?\"\n },\n {\n \"45946\": \"What is the next step?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45927\",\n \"answer\": \"British football\"\n },\n {\n \"question_id\": \"45928\",\n \"answer\": \"because parent fans were swearing or even fighting on the touchline\"\n },\n {\n \"question_id\": \"45929\",\n \"answer\": \"UK,\"\n },\n {\n \"question_id\": \"45930\",\n \"answer\": \"Peter Wright,\"\n },\n {\n \"question_id\": \"45931\",\n \"answer\": \"a referee\"\n },\n {\n \"question_id\": \"45932\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45933\",\n \"answer\": \"\\\"Every week\"\n },\n {\n \"question_id\": \"45934\",\n \"answer\": \"Parents\"\n },\n {\n \"question_id\": \"45935\",\n \"answer\": \"The kids\"\n },\n {\n \"question_id\": \"45936\",\n \"answer\": \"Jim Peter\"\n },\n {\n \"question_id\": \"45937\",\n \"answer\": \"a referee\"\n },\n {\n \"question_id\": \"45938\",\n \"answer\": \"no, and getting worse year by year\"\n },\n {\n \"question_id\": \"45939\",\n \"answer\": \"The big question is why so many parents shame their children in this way.\"\n },\n {\n \"question_id\": \"45940\",\n \"answer\": \"Aggressive Behavior Contracts may have to be introduced to stop the violence and abuse\"\n },\n {\n \"question_id\": \"45941\",\n \"answer\": \"f not, the game will suffer.\"\n },\n {\n \"question_id\": \"45942\",\n \"answer\": \"good behavior contract\"\n },\n {\n \"question_id\": \"45943\",\n \"answer\": \"I take his or her child off the pitch and get him or her to explain why I have done so to the child\"\n },\n {\n \"question_id\": \"45944\",\n \"answer\": \"Marc Nash\"\n },\n {\n \"question_id\": \"45945\",\n \"answer\": \"assistant leader\"\n },\n {\n \"question_id\": \"45946\",\n \"answer\": \"he next step is to ban both the parent and the child,\"\n }\n]\n" } ]

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