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 7 January, 2014 A new report says more and more international students are attending colleges and universities in the United States. It also notes a large increase in the number of international students from China. These findings are from the latest Open Doors Report. The report documents the record number of international students in the United States during 2012, 2013 school year. It says more than seven hundred sixty-four thousand four-hundred such students were attending American colleges and universities during the last two years. That represents an increase of almost six percent than one year earlier. On the other hand, the number of Americans studying overseas increased by one percent, which reached nineteen thousand this year. The report says one hundred ninety-four thousand students at American colleges and universities were from China .That is an increase of more than twenty-three percent over the year before. Peggy Blumenthal, an expert of international education, described the effect of the increase in Chinesestudents. \"Now they have been coming for some time. But this year was the highest level ever.\" She says many Chinese families are able to pay for the highest-quality education for their children. The children mainly choose to study in America. \"We know many of them have enough income to be able to afford to send them anywhere in the world if they want to go. And for the most part, looking around the world, Chinese students still prefer to come to the United States as their choice.\" Chinese students are not the only ones who want to attend American colleges and universities. After China, India sends the second largest number of students to the United States for higher education. India has about one hundred thousand students in American schools. South Korea is third with about seventy-two thousand students. Why do so many foreign students study in the United States? Peggy Blumenthal provides one reason. \"The advantage America has is that we have a huge system and a very perfect system. So there are over four thousand universities and colleges in the United States. Among them are some top ones in the world, and what that tells us is there is still a lot of room to host international students. Foreign students represent less than four percent of the total student population in American higher education. And from Learning English, that's the VOA Special English Education Report. I'm Bob Doughty. Thanks for listening.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59199\": \"what is the expert called?\"\n },\n {\n \"59200\": \"what is she an expert in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59199\",\n \"answer\": \"Peggy Blumenthal\"\n },\n {\n \"question_id\": \"59200\",\n \"answer\": \"international education\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John was in the third grade, and nine years old. Every day he had to walk home from school. There were some kids in his class who were mean to him, and during the winter they would throw snowballs at him. John could have told the teacher, but one of the kids was a very pretty girl. She was mean, but John liked her because she was pretty and did not want her to get in trouble. \n\nOne day, his teacher asked John to stay after class to wipe off the chalkboard and to empty the pencil sharpener. By the time he was done, the other kids had gone home. They could no longer throw snowballs at him. John did not mind helping out his teacher, and he soon stayed after class every day. \n\nJohn was not very good at math, and sometimes his teacher would help him when he stayed after school. She said if John could help her out for at least two weeks, he could pass his math class. John thought it was a good deal, and ended up being much better at math.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28683\": \"What did kids do to John?\"\n },\n {\n \"28684\": \"Did he tell the teacher?\"\n },\n {\n \"28685\": \"Did he like one of his bullies?\"\n },\n {\n \"28686\": \"Why?\"\n },\n {\n \"28687\": \"Did he take the bus?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"28683\",\n \"answer\": \"throw snowballs at him\"\n },\n {\n \"question_id\": \"28684\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"28685\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28686\",\n \"answer\": \"because she was pretty\"\n },\n {\n \"question_id\": \"28687\",\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 XII. THE AWAKENING \n\nLa Boulaye awakened betimes next morning. It may be that the matter on his mind and the business that was toward aroused him; certainly it was none of the sounds that are common to an inn at early morn, for the place was as silent as a tomb. \n\nSome seconds he remained on his back, staring at the whitewashed ceiling and listening to the patter of the rain against his window. Then, as his mind gathered up the threads of recollection, he leapt from his bed and made haste to assume a garment or two. \n\nHe stood a moment at his casement, looking out into the empty courtyard. From a leaden sky the rain was descending in sheets, and the gargoyle at the end of the eaves overhead was discharging a steady column of water into the yard. Caron shivered with the cold of that gloomy February morning, and turned away from the window. A few moments later he was in Tardivet's bedchamber, vigorously shaking the sleeping Captain. \n\n\"Up, Charlot! Awake!\" he roared in the man's ear. \n\n\"What o'clock?\" he asked with a yawn. Then a sudden groan escaped him, and he put his hand to his head. \"Thousand devils!\" he swore, \"what a headache!\" \n\nBut La Boulaye was not there on any mission of sympathy, nor did he waste words in conveying his news. \n\n\"The coach is gone,\" he announced emphatically. \n\n\"Coach? What coach?\" asked the Captain, knitting his brows. \n\n\"What coach?\" echoed La Boulaye testily. \"How many coaches were there? Why, the Bellecour coach; the coach with the treasure.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29729\": \"what did the coach have?\"\n },\n {\n \"29730\": \"what had happened to him?\"\n },\n {\n \"29731\": \"who announced this?\"\n },\n {\n \"29732\": \"to who?\"\n },\n {\n \"29733\": \"what's his name?\"\n },\n {\n \"29734\": \"and what does La Boulaye call him?\"\n },\n {\n \"29735\": \"was it a cold morning?\"\n },\n {\n \"29736\": \"what month was it?\"\n },\n {\n \"29737\": \"was it snowing?\"\n },\n {\n \"29738\": \"then?\"\n },\n {\n \"29739\": \"what was releasing water?\"\n },\n {\n \"29740\": \"was it in his room?\"\n },\n {\n \"29741\": \"where?\"\n },\n {\n \"29742\": \"where was the water flowing?\"\n },\n {\n \"29743\": \"was the hotel noisy?\"\n },\n {\n \"29744\": \"what is the quietness described as?\"\n },\n {\n \"29745\": \"why did he get up so early?\"\n },\n {\n \"29746\": \"and did he get out of bed right away?\"\n },\n {\n \"29747\": \"what is his first name?\"\n },\n {\n \"29748\": \"what was wrong with the captain?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"29729\",\n \"answer\": \"treasure\"\n },\n {\n \"question_id\": \"29730\",\n \"answer\": \"he was gone\"\n },\n {\n \"question_id\": \"29731\",\n \"answer\": \"La Boulaye\"\n },\n {\n \"question_id\": \"29732\",\n \"answer\": \"the Captain\"\n },\n {\n \"question_id\": \"29733\",\n \"answer\": \"Tardivet\"\n },\n {\n \"question_id\": \"29734\",\n \"answer\": \"Charlot\"\n },\n {\n \"question_id\": \"29735\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"29736\",\n \"answer\": \"February\"\n },\n {\n \"question_id\": \"29737\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"29738\",\n \"answer\": \"raining\"\n },\n {\n \"question_id\": \"29739\",\n \"answer\": \"the gargoyle\"\n },\n {\n \"question_id\": \"29740\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"29741\",\n \"answer\": \"at the end of the eaves\"\n },\n {\n \"question_id\": \"29742\",\n \"answer\": \"into the yard\"\n },\n {\n \"question_id\": \"29743\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"29744\",\n \"answer\": \"a tomb\"\n },\n {\n \"question_id\": \"29745\",\n \"answer\": \"the matter on his mind aroused him\"\n },\n {\n \"question_id\": \"29746\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"29747\",\n \"answer\": \"Caron\"\n },\n {\n \"question_id\": \"29748\",\n \"answer\": \"had a headache\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n With an estimated population of 1,381,069 as of July 1, 2014, San Diego is the eighth-largest city in the United States and second-largest in California. It is part of the San Diego–Tijuana conurbation, the second-largest transborder agglomeration between the US and a bordering country after Detroit–Windsor, with a population of 4,922,723 people. San Diego is the birthplace of California and is known for its mild year-round climate, natural deep-water harbor, extensive beaches, long association with the United States Navy and recent emergence as a healthcare and biotechnology development center. \n\nHistorically home to the Kumeyaay people, San Diego was the first site visited by Europeans on what is now the West Coast of the United States. Upon landing in San Diego Bay in 1542, Juan Rodríguez Cabrillo claimed the entire area for Spain, forming the basis for the settlement of Alta California 200 years later. The Presidio and Mission San Diego de Alcalá, founded in 1769, formed the first European settlement in what is now California. In 1821, San Diego became part of the newly-independent Mexico, which reformed as the First Mexican Republic two years later. In 1850, it became part of the United States following the Mexican–American War and the admission of California to the union.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71112\": \"When did San Diego become part of the United States?\"\n },\n {\n \"71113\": \"What group of people is it historically a home to?\"\n },\n {\n \"71114\": \"Is it the largest city in the United States?\"\n },\n {\n \"71115\": \"What is the population?\"\n },\n {\n \"71116\": \"Who claimed the by for Spain?\"\n },\n {\n \"71117\": \"What year was that?\"\n },\n {\n \"71118\": \"What happened in 1821?\"\n },\n {\n \"71119\": \"What is the weather there?\"\n },\n {\n \"71120\": \"Are there beaches?\"\n },\n {\n \"71121\": \"What military branch is based there?\"\n },\n {\n \"71122\": \"Is became part of the US after what war?\"\n },\n {\n \"71123\": \"Is it the largest city in California?\"\n },\n {\n \"71124\": \"It is called the \\\"what\\\" of California?\"\n },\n {\n \"71125\": \"What else it is known for?\"\n },\n {\n \"71126\": \"What is it part of?\"\n },\n {\n \"71127\": \"What is that?\"\n },\n {\n \"71128\": \"Who is first largest?\"\n },\n {\n \"71129\": \"When Juan Cabrillo claimed it, what basis did it form?\"\n },\n {\n \"71130\": \"How many years later?\"\n },\n {\n \"71131\": \"What did independent Mexico reform into?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71112\",\n \"answer\": \"1850\"\n },\n {\n \"question_id\": \"71113\",\n \"answer\": \"Kumeyaay people\"\n },\n {\n \"question_id\": \"71114\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"71115\",\n \"answer\": \"1,381,069\"\n },\n {\n \"question_id\": \"71116\",\n \"answer\": \"uan Rodr\\u00edguez Cabrillo\"\n },\n {\n \"question_id\": \"71117\",\n \"answer\": \"1542\"\n },\n {\n \"question_id\": \"71118\",\n \"answer\": \"It became part of the newly-independent Mexico\"\n },\n {\n \"question_id\": \"71119\",\n \"answer\": \"mild year-round climate,\"\n },\n {\n \"question_id\": \"71120\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71121\",\n \"answer\": \"United States Navy\"\n },\n {\n \"question_id\": \"71122\",\n \"answer\": \"Mexican\\u2013American War\"\n },\n {\n \"question_id\": \"71123\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"71124\",\n \"answer\": \"birthplace\"\n },\n {\n \"question_id\": \"71125\",\n \"answer\": \"recent emergence as a healthcare and biotechnology development center.\"\n },\n {\n \"question_id\": \"71126\",\n \"answer\": \"San Diego\\u2013Tijuana conurbation\"\n },\n {\n \"question_id\": \"71127\",\n \"answer\": \"agglomeration between the US and a bordering country\"\n },\n {\n \"question_id\": \"71128\",\n \"answer\": \"Detroit\\u2013Windsor\"\n },\n {\n \"question_id\": \"71129\",\n \"answer\": \"the settlement of Alta California\"\n },\n {\n \"question_id\": \"71130\",\n \"answer\": \"200\"\n },\n {\n \"question_id\": \"71131\",\n \"answer\": \"First Mexican Republic\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 World Health Organization warns that millions of people are dying every year from indoor air pollution. The WHO finds that poor cooking, heating and lighting technologies are killing millions of people each year. \n\nIndoor air pollution results from the use of dangerous fuels and cook-stoves in the home. To help fight the problem, the WHO announced, new guidelines aimed at reducing household pollutants. \n\nWHO officials say nearly three billion people are unable to use clean fuels and technologies for cooking? heating and lighting. And they say more than seven million people die from exposure to indoor or outdoor air pollution each year. Of that number, the WHO says about 4. 3 million people die from household air pollution given off by simple coal cook-stoves. Most of the deaths are in developing countries. \n\nCarlos Dora is Coordinator in the WHO's Department of Public Health, Environmental and Social Determinants of Health. He says people should not use unprocessed coal and kerosene fuel indoors. He says opening a window or door to let out the harmful air will not improve the situation. It will only pollute the outdoors. \n\nWHO officials say indoor pollution leads to early deaths from stroke, heart and lung disease, childhood pneumonia and lung cancer. Women and girls are the main victims. The United Nations found that more than 95 percent of households in sub-Saharan Africa depend on solid fuels for cooking. It says huge populations in India, China and Latin American countries, such as Guatemala and Peru, are also at risk. \n\nNigel Bruce is a professor of Public Health at the University of Liverpool. He says researchers are developing good cook-stoves and other equipment to burn fuels in a more efficient way. \n\nWHO experts note some new, safe and low-cost technologies that could help are already available. In India, you can buy an induction stove for about $ 8.00. And in Africa a you can buy a solar lamp for less than $ 1. 00.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32335\": \"How many die annually from indoor air pollution?\"\n },\n {\n \"32336\": \"Cooking, heating and what else kill them?\"\n },\n {\n \"32337\": \"The WHO announced what?\"\n },\n {\n \"32338\": \"WHO says how many people are unable to use clean fuels?\"\n },\n {\n \"32339\": \"Are most deaths in United States?\"\n },\n {\n \"32340\": \"Where are they at?\"\n },\n {\n \"32341\": \"Who is Carlos Dora?\"\n },\n {\n \"32342\": \"He said people should avoid using what?\"\n },\n {\n \"32343\": \"What will not improve the situation?\"\n },\n {\n \"32344\": \"What will it do, instead?\"\n },\n {\n \"32345\": \"What conditions does indoor pollution lead to?\"\n },\n {\n \"32346\": \"Are more men or women effected?\"\n },\n {\n \"32347\": \"What area depend heavily on solid fuels for cooking?\"\n },\n {\n \"32348\": \"What other areas with large populations are at risk?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32335\",\n \"answer\": \"Millions\"\n },\n {\n \"question_id\": \"32336\",\n \"answer\": \"Lighting technologies\"\n },\n {\n \"question_id\": \"32337\",\n \"answer\": \"New guidelines aimed at reducing household pollutants\"\n },\n {\n \"question_id\": \"32338\",\n \"answer\": \"Nearly three billion\"\n },\n {\n \"question_id\": \"32339\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"32340\",\n \"answer\": \"Developing countries.\"\n },\n {\n \"question_id\": \"32341\",\n \"answer\": \"Coordinator in the WHO's Department of Public Health, Environmental and Social Determinants of Health.\"\n },\n {\n \"question_id\": \"32342\",\n \"answer\": \"Unprocessed coal and kerosene fuel\"\n },\n {\n \"question_id\": \"32343\",\n \"answer\": \"Opening a window or door\"\n },\n {\n \"question_id\": \"32344\",\n \"answer\": \"Pollute the outdoors.\"\n },\n {\n \"question_id\": \"32345\",\n \"answer\": \"Early deaths from stroke, heart and lung disease, childhood pneumonia and lung cancer.\"\n },\n {\n \"question_id\": \"32346\",\n \"answer\": \"Women\"\n },\n {\n \"question_id\": \"32347\",\n \"answer\": \"Sub-Saharan Africa\"\n },\n {\n \"question_id\": \"32348\",\n \"answer\": \"India, China and Latin American countries\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Peter was walking in the street with two big and heavy boxes. A stranger walked up to him and asked, \"What is the time?\" Peter stopped, put down the boxes and looked at his watch. \"It's five fifteen,\" he said. \"Hey, what a nice watch!\" said the stranger. Peter smiled a little and said, \"Yes, it's not bad. Look at this.\" Then he showed the stranger the time for 86 big cities in the world. He hit a few buttons and it told the time in Chinese. Peter went on ,\" You can set it in English, Chinese, Japanese and so on.\" The stranger looked very interested in the watch. \"That's not all,\" said Peter. He then pushed a few more buttons and there was a small map appeared on the watch. \"The map can show where we are,\" said Peter. \"I want to buy this watch!\" said the stranger. \"Oh, no, I' m not selling it. I designed it myself. I spent nearly two years making it.\" said Peter. \"Oh, you are the designer. I'll give you $ 1,000 for it!\" \"Oh, no, I spent more than that.\" \"I'll give you $ 5,000 for it!\" Peter stopped to think. The stranger quickly gave him a check and said ,\"$ 5,000. Here it is.\" Peter finally agreed to sell the watch. When the stranger was going to leave with the watch, Peter pointed to the two big boxes and said, \"Hey, wait a minute. Don' t forget your batteries .\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10866\": \"Who was wearing a nice watch?\"\n },\n {\n \"10867\": \"What was he carrying?\"\n },\n {\n \"10868\": \"What was inside the boxes?\"\n },\n {\n \"10869\": \"Did Peter design his watch?\"\n },\n {\n \"10870\": \"How long did it take him?\"\n },\n {\n \"10871\": \"Did it cost him more than a thousand dollars to make it?\"\n },\n {\n \"10872\": \"Who asked him what time it was?\"\n },\n {\n \"10873\": \"Did Peter have to put the boxes down to check his watch?\"\n },\n {\n \"10874\": \"What time was it?\"\n },\n {\n \"10875\": \"Did the stranger like his watch?\"\n },\n {\n \"10876\": \"Did it tell time all over the world?\"\n },\n {\n \"10877\": \"How many big cities?\"\n },\n {\n \"10878\": \"What did he have to do to make it show the time in Chinese?\"\n },\n {\n \"10879\": \"Could it be set in many different languages?\"\n },\n {\n \"10880\": \"After he hit a few more buttons, what appeared on the watch?\"\n },\n {\n \"10881\": \"What did it pinpoint?\"\n },\n {\n \"10882\": \"Did the stranger decide he wanted to buy it?\"\n },\n {\n \"10883\": \"What did Peter say to that?\"\n },\n {\n \"10884\": \"What was the stranger's first offer?\"\n },\n {\n \"10885\": \"And how much did he finally buy it for?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10866\",\n \"answer\": \"Peter\"\n },\n {\n \"question_id\": \"10867\",\n \"answer\": \"two big and heavy boxes\"\n },\n {\n \"question_id\": \"10868\",\n \"answer\": \"batteries\"\n },\n {\n \"question_id\": \"10869\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10870\",\n \"answer\": \"nearly two years\"\n },\n {\n \"question_id\": \"10871\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10872\",\n \"answer\": \"stranger\"\n },\n {\n \"question_id\": \"10873\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10874\",\n \"answer\": \"five fifteen\"\n },\n {\n \"question_id\": \"10875\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10876\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10877\",\n \"answer\": \"86\"\n },\n {\n \"question_id\": \"10878\",\n \"answer\": \"He hit a few buttons\"\n },\n {\n \"question_id\": \"10879\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"10880\",\n \"answer\": \"a small map\"\n },\n {\n \"question_id\": \"10881\",\n \"answer\": \"where they were,\"\n },\n {\n \"question_id\": \"10882\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10883\",\n \"answer\": \"Oh, no, I' m not selling it. I designed it myself\"\n },\n {\n \"question_id\": \"10884\",\n \"answer\": \"1,000\"\n },\n {\n \"question_id\": \"10885\",\n \"answer\": \"$ 5,000\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jerusalem (CNN) -- A wheelchair-bound Israeli veteran died Wednesday, days after setting himself on fire in a protest over his economic situation, a spokeswoman for Sheba Medical Center in Tel Aviv said. \n\nAkiva Mafa'i, who was badly injured two decades ago during his service in the Israel Defense Forces, had set himself alight Sunday. \n\nThe 45-year-old poured gasoline over his body and ignited it at a bus station in the town of Yehud. Passersby extinguished the flames with bottles of water and a fire extinguisher but he was left with 70% burns. \n\nThe veteran had spent four months in a coma at the Beer Sheva Medical Center after he was injured at age 23, according to local media reports. He was to be married a month after he was hurt but the marriage was canceled. \n\nMafa'i is the second person to die in a self-immolation in Israel in less than a week. \n\nMoshe Silman, a bed-ridden member of a movement to lower the cost of living in Israel, set himself alight during a demonstration in Tel Aviv on July 14. He died two weeks later. \n\nTeenage monk self-immolates in China \n\nAccording to local media reports, he left a note accusing the conservative Netanyahu government of \"taking from the poor and giving to the rich.\" Israeli media have reported other suicide attempts apparently motivated by economic hardship. \n\nThe social protest movement has been gaining ground since large demonstrations were held in cities last summer, led by members of Israel's middle class, over soaring costs of living. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84832\": \"Where does this take place?\"\n },\n {\n \"84833\": \"Where is Yehud?\"\n },\n {\n \"84834\": \"On what day did he die?\"\n },\n {\n \"84835\": \"How?\"\n },\n {\n \"84836\": \"Did he pass away on the same day he did this?\"\n },\n {\n \"84837\": \"Who reported the news?\"\n },\n {\n \"84838\": \"From?\"\n },\n {\n \"84839\": \"Located where?\"\n },\n {\n \"84840\": \"What had he done about 20 years before?\"\n },\n {\n \"84841\": \"While serving what branch?\"\n },\n {\n \"84842\": \"Where did he light himself up?\"\n },\n {\n \"84843\": \"How old was he?\"\n },\n {\n \"84844\": \"Was he able to run around while burning?\"\n },\n {\n \"84845\": \"Did someone put him out?\"\n },\n {\n \"84846\": \"Who?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84832\",\n \"answer\": \"Yehud.\"\n },\n {\n \"question_id\": \"84833\",\n \"answer\": \"Israel,\"\n },\n {\n \"question_id\": \"84834\",\n \"answer\": \"Wednesday\"\n },\n {\n \"question_id\": \"84835\",\n \"answer\": \"set himself on fire\"\n },\n {\n \"question_id\": \"84836\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"84837\",\n \"answer\": \"a spokeswoman\"\n },\n {\n \"question_id\": \"84838\",\n \"answer\": \"Sheba Medical Center\"\n },\n {\n \"question_id\": \"84839\",\n \"answer\": \"Tel Aviv\"\n },\n {\n \"question_id\": \"84840\",\n \"answer\": \"He was badly\"\n },\n {\n \"question_id\": \"84841\",\n \"answer\": \"Israel Defense Forces\"\n },\n {\n \"question_id\": \"84842\",\n \"answer\": \"A bus station\"\n },\n {\n \"question_id\": \"84843\",\n \"answer\": \"45\"\n },\n {\n \"question_id\": \"84844\",\n \"answer\": \"Unknown\"\n },\n {\n \"question_id\": \"84845\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84846\",\n \"answer\": \"Passersby\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 scored the only goal of the match with a stunning backheel as Real Madrid beat Rayo Vallecano to stay 10 points clear in the Spanish title race Sunday. \n\nReal had to work hard to emerge on top in the capital derby at the Vallecas while arch-rivals Barcelona won 2-1 against Atletico Madrid in the late kickoff to avoid falling further behind Jose Mourinho's men. \n\nThe reigning champions owed their win to a Lionel Messi free-kick in the 80th minute. It was his 28th league goal of the season, one fewer than Ronaldo. \n\nDani Alves opened the scoring on 36 minutes but Radamel Falcao equalized at the beginning of the second half for the home side. \n\nEarlier, the first half of the clash between the Madrid rivals was short of chances, but Rayo came closest to scoring as Michu rattled the woodwork with Iker Casillas beaten. \n\nRonaldo struck shortly after the break following a corner. He was running away to chase a loose ball, but then fashioned an incredible backheeled effort which flew into the net. \n\n\"A backheel is always different. It was a great goal but I'm not sure if it was the best of my career -- I have to see it again on TV,\" Ronaldo told AFP. \n\nJose Callejon later wasted a chance to double the lead for Los Blancos to calm their nerves. \n\nRonaldo was also denied a second by home keeper Joel late on before the home side lost Michu to a red card for a rash challenge. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28315\": \"did someone score?\"\n },\n {\n \"28316\": \"who?\"\n },\n {\n \"28317\": \"did he score 14 times?\"\n },\n {\n \"28318\": \"how many times did he score?\"\n },\n {\n \"28319\": \"who does he play for?\"\n },\n {\n \"28320\": \"who did the defeat?\"\n },\n {\n \"28321\": \"on what day of the week?\"\n },\n {\n \"28322\": \"Does Cristiano's team have a nemesis?\"\n },\n {\n \"28323\": \"who?\"\n },\n {\n \"28324\": \"was their nemesis victorious in their game?\"\n },\n {\n \"28325\": \"who did they defeat?\"\n },\n {\n \"28326\": \"what was the final tally of that game?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"28315\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28316\",\n \"answer\": \"Cristiano Ronaldo\"\n },\n {\n \"question_id\": \"28317\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"28318\",\n \"answer\": \"once\"\n },\n {\n \"question_id\": \"28319\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"28320\",\n \"answer\": \"Rayo Vallecano\"\n },\n {\n \"question_id\": \"28321\",\n \"answer\": \"Sunday.\"\n },\n {\n \"question_id\": \"28322\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28323\",\n \"answer\": \"Barcelona\"\n },\n {\n \"question_id\": \"28324\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"28325\",\n \"answer\": \"Atletico Madrid\"\n },\n {\n \"question_id\": \"28326\",\n \"answer\": \"2-1\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 13-year-old boy traveled to Washington, D.C. to raise money for homeless kids. Zach Bonner was pretty tired. Instead of going to camp last summer, Zach decided to walk 668 miles from Atlanta to Washington, D.C. He hoped more people would help homeless kids. His journey to help others began six years ago. Zach walked from his home in Tampa to Tallahassee. Then, in 2008, Zach Bonner went on a 270-mile walk from Tallahassee to Atlanta. In 2010, he did it again, from Tampa to Los Angeles. Last summer, Zach traveled 12 miles every day on foot. Along the way, he collected more than 1000 letters about homeless children. He hoped to give the letters to President Obama. Zach says he wants his walk to make a difference. More than 1 million children in the U.S. have nowhere to live. During his journey, Zach spent 24 hours with some homeless children so he could learn the difficulties they face. When Zach walked the last mile of his long journey, more than 500 supporters, including 300 homeless kids, joined Zach. They went with him down the National Mall. \"It was a long walk,\" Zach says, \"but it was meaningful.\" Although the journey is difficult and tiring, Zach won't give up. \"When homeless kids get tired of being homeless, they don't get to stop. So why should I stop when I get tired of walking?\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40712\": \"How many children in the U.S. are homeless?\"\n },\n {\n \"40713\": \"What is the boy's name?\"\n },\n {\n \"40714\": \"How old is he?\"\n },\n {\n \"40715\": \"Who was he raising funds for?\"\n },\n {\n \"40716\": \"Where is he from?\"\n },\n {\n \"40717\": \"How many miles did he walk in 2008?\"\n },\n {\n \"40718\": \"What city did he start that walk in?\"\n },\n {\n \"40719\": \"What city was the final destination on that walk?\"\n },\n {\n \"40720\": \"How many letters did he collect?\"\n },\n {\n \"40721\": \"About what?\"\n },\n {\n \"40722\": \"To whom did he want to give the letters?\"\n },\n {\n \"40723\": \"Which one?\"\n },\n {\n \"40724\": \"How many hours did Zach spend with homeless kids?\"\n },\n {\n \"40725\": \"How many miles a day did he travel per day last summer?\"\n },\n {\n \"40726\": \"On foot?\"\n },\n {\n \"40727\": \"How many supporters joined him on the final mile of his trip?\"\n },\n {\n \"40728\": \"How many homeless kids joined him?\"\n },\n {\n \"40729\": \"Where did they go together?\"\n },\n {\n \"40730\": \"Did Zach give up summer camp for he could do one of his walks?\"\n },\n {\n \"40731\": \"How many years ago did he start doing these walks?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40712\",\n \"answer\": \"More than 1 million\"\n },\n {\n \"question_id\": \"40713\",\n \"answer\": \"Zach Bonner\"\n },\n {\n \"question_id\": \"40714\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"40715\",\n \"answer\": \"homeless kids.\"\n },\n {\n \"question_id\": \"40716\",\n \"answer\": \"Tampa\"\n },\n {\n \"question_id\": \"40717\",\n \"answer\": \"270-mile\"\n },\n {\n \"question_id\": \"40718\",\n \"answer\": \"Tallahassee\"\n },\n {\n \"question_id\": \"40719\",\n \"answer\": \"Atlanta\"\n },\n {\n \"question_id\": \"40720\",\n \"answer\": \"more than 1000\"\n },\n {\n \"question_id\": \"40721\",\n \"answer\": \"homeless children\"\n },\n {\n \"question_id\": \"40722\",\n \"answer\": \"the president\"\n },\n {\n \"question_id\": \"40723\",\n \"answer\": \"Obama\"\n },\n {\n \"question_id\": \"40724\",\n \"answer\": \"24 hours\"\n },\n {\n \"question_id\": \"40725\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"40726\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"40727\",\n \"answer\": \"more than 500\"\n },\n {\n \"question_id\": \"40728\",\n \"answer\": \"300\"\n },\n {\n \"question_id\": \"40729\",\n \"answer\": \"the National Mall.\"\n },\n {\n \"question_id\": \"40730\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"40731\",\n \"answer\": \"Six\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Meagan and her friend Samantha, both students, lived together in Denver. On mornings when Samantha had class, Meagan would watch her 2-year-old daughter, Hannah. Also part of the household was Meagan's pet, Willie, a parrot -- a particularly intelligent and chatty breed. He picked up quite a healthy vocabulary (\"Silly Willie\"was a favorite saying) and became a great mimic -- of cats, dogs, chickens and humans. One day with Samantha at school, Hannah sat in front of morning cartoons while Meagan cooked Pop-Tarts in the kitchen. When the toaster spat out the food, Meagan placed it at the center of the kitchen table to cool. She glanced at Hannah and, confident the child was fully engaged in the TV, slipped out quickly to use the bathroom. \"I was gone maybe 30 seconds,\"Meagan recalls.\"And suddenly, I heard the bird going crazy and shouting.\"She heard two very distinct words from the parrot's mouth.\"Mama! Baby! Mama! Baby!\"Meagan ran out of the bathroom to find Hannah in the kitchen, holding the partly eaten Pop-Tarts, out of breath, her face and lips a terrifying shade of blue. And Willie was still crying. \"Hannah had climbed up on a chair and gotten the Pop-Tarts and she was clearly choking on them,\"says Meagan.\"I seized her and immediately started doing first aid until the piece came flying out.\"The bird quieted down and Meagan burst into tears, relief washing over her; Hannah was fine, already smiling her big smile. When Meagan told Samantha what happened,\"She was so grateful, thanking me for what I did,\"Meagan says.\"But I said, 'Don't thank me! It was Willie who was the hero!'\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"46536\": \"Who is Meagan's friend?\"\n },\n {\n \"46537\": \"Are they students?\"\n },\n {\n \"46538\": \"Where do they live?\"\n },\n {\n \"46539\": \"Does Samantha have a kid?\"\n },\n {\n \"46540\": \"Who would watch over her?\"\n },\n {\n \"46541\": \"How old is she?\"\n },\n {\n \"46542\": \"Does Meagan have a pet?\"\n },\n {\n \"46543\": \"What is its name?\"\n },\n {\n \"46544\": \"What is it?\"\n },\n {\n \"46545\": \"What kind of breed?\"\n },\n {\n \"46546\": \"What was his favorite saying?\"\n },\n {\n \"46547\": \"What did Meagan cook?\"\n },\n {\n \"46548\": \"Where?\"\n },\n {\n \"46549\": \"Where did she place it?\"\n },\n {\n \"46550\": \"What was the parrot shouting?\"\n },\n {\n \"46551\": \"Where was Hannah?\"\n },\n {\n \"46552\": \"What did Meagan do to the pop-tart\"\n },\n {\n \"46553\": \"What did Meagan burst into?\"\n },\n {\n \"46554\": \"What did Meagan do to hannah?\"\n },\n {\n \"46555\": \"Was Hannah fine?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"46536\",\n \"answer\": \"Samantha\"\n },\n {\n \"question_id\": \"46537\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46538\",\n \"answer\": \"Denver\"\n },\n {\n \"question_id\": \"46539\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46540\",\n \"answer\": \"Meaghan\"\n },\n {\n \"question_id\": \"46541\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"46542\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"46543\",\n \"answer\": \"Willie\"\n },\n {\n \"question_id\": \"46544\",\n \"answer\": \"a parrot\"\n },\n {\n \"question_id\": \"46545\",\n \"answer\": \"a chatty one\"\n },\n {\n \"question_id\": \"46546\",\n \"answer\": \"Silly Willie\"\n },\n {\n \"question_id\": \"46547\",\n \"answer\": \"Pop Tarts\"\n },\n {\n \"question_id\": \"46548\",\n \"answer\": \"in the kitchen\"\n },\n {\n \"question_id\": \"46549\",\n \"answer\": \"on the table\"\n },\n {\n \"question_id\": \"46550\",\n \"answer\": \"Mama!Baby!\"\n },\n {\n \"question_id\": \"46551\",\n \"answer\": \"the kitchen\"\n },\n {\n \"question_id\": \"46552\",\n \"answer\": \"removed it from Hannah's airway\"\n },\n {\n \"question_id\": \"46553\",\n \"answer\": \"tears\"\n },\n {\n \"question_id\": \"46554\",\n \"answer\": \"first aid\"\n },\n {\n \"question_id\": \"46555\",\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 Los Angeles (CNN) -- The doctor convicted in pop star Michael Jackson's death is suffering possibly life-threatening and permanent injuries after almost a year in a small jail cell, his lawyers are warning. \n\nDr. Conrad Murray is housed in a high-security section of the Los Angeles County jail because of his notoriety, which isolates him from the general population for his protection but means he has \"extremely limited access to exercise.\" \n\n\"Death or injury at the hands of another prisoner, however, is no worse than a slow death caused by a loss of circulation and atrophy resulting from inhumane confinement of a large man in a tiny space,\" lawyers Valerie Wass and Michael Flanagan wrote in a letter addressed to Los Angeles County Sheriff Lee Baca Wednesday. \n\nConrad Murray invites Katherine Jackson to visit him in jail \n\nMurray -- jailed since November 7, 2011, when he was convicted of involuntary manslaughter in Jackson's death -- is 6 feet 5 inches tall, but confined in a 5-foot-by-7-foot cell, the letter said. \n\n\"If one were to keep a dog in a space just a few inches larger than the dog's length, for any extended period of time, contentions of animal cruelty possibly leading to prosecution would likely result,\" it said. \n\nThe sheriff's office did not immediately return repeated calls from CNN for comment. \n\nWass, who is overseeing the appeal of Murray's involuntary manslaughter conviction, told CNN Thursday his jail conditions \"are the equivalent of a large individual flying coach in a middle seat for a period of a year.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2095\": \"When was Murray put in prison?\"\n },\n {\n \"2096\": \"On what charge?\"\n },\n {\n \"2097\": \"Who died?\"\n },\n {\n \"2098\": \"Was the Doctor injured?\"\n },\n {\n \"2099\": \"Attacked by an inmate?\"\n },\n {\n \"2100\": \"What caused it?\"\n },\n {\n \"2101\": \"Is he represented?\"\n },\n {\n \"2102\": \"By whom?\"\n },\n {\n \"2103\": \"What did they do Wednesday?\"\n },\n {\n \"2104\": \"Who was it to?\"\n },\n {\n \"2105\": \"Of what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2095\",\n \"answer\": \"November 7, 2011\"\n },\n {\n \"question_id\": \"2096\",\n \"answer\": \"Involuntary manslaughter\"\n },\n {\n \"question_id\": \"2097\",\n \"answer\": \"Michael Jackson\"\n },\n {\n \"question_id\": \"2098\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2099\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2100\",\n \"answer\": \"Loss of circulation and atrophy resulting from inhumane confinement in a tiny space\"\n },\n {\n \"question_id\": \"2101\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2102\",\n \"answer\": \"Valerie Wass and Michael Flanagan\"\n },\n {\n \"question_id\": \"2103\",\n \"answer\": \"Wrote in a letter\"\n },\n {\n \"question_id\": \"2104\",\n \"answer\": \"Sheriff Lee Baca Wednesday\"\n },\n {\n \"question_id\": \"2105\",\n \"answer\": \"Los Angeles County\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX. THE KNIGHT AND THE DRAGON \n\n\n\nA telegram had been received in the morning, which kept Valetta and Fergus on the qui vive all day. Valetta was an unspeakable worry to the patient Miss Vincent, and Fergus arranged his fossils and minerals. \n\nBoth children flew out to meet their father at the gate, but words failed them as he came into the house, greeted the aunts, and sat down with Fergus on his knee, and Valetta encircled by his arm. \n\n'Yes, Lilias is quite well, very busy and happy---with her first instalment of children.' \n\n'I am so thankful that you are come,' said Adeline. 'Jane ventured to augur that you would, but I thought it too much to hope for.' \n\n'There was no alternative,' said Sir Jasper. \n\n'I infer that you halted at Avoncester.' \n\n'I did so; I saw the poor boy.' \n\n'What a comfort for his sister!' \n\n'Poor fellow! Mine was the first friendly face he had seen, and he was almost overcome by it'---and the strong face quivered with emotion at the recollection of the boy's gratitude. \n\n'He is a nice fellow,' said Jane. 'I am glad you have seen him, for neither Mr. White nor Rotherwood can believe that he is not utterly foolish, if not worse.' \n\n'A boy may do foolish things without being a fool,' said Sir Jasper. 'Not that this one is such another as his father. I wish he were.' \n\n'I suppose he has more of the student scholarly nature.' \n\n'Yes. The enlistment, which was the making of his father, was a sort of moral suicide in him. I got him to tell me all about it, and I find that the idea of the inquest, and of having to mention you, you monkey, drove him frantic, and the dismissal completed the business.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33382\": \"Where were they all day?\"\n },\n {\n \"33383\": \"What held them there?\"\n },\n {\n \"33384\": \"When did it arrive?\"\n },\n {\n \"33385\": \"Was anyone distracted by something?\"\n },\n {\n \"33386\": \"Whom?\"\n },\n {\n \"33387\": \"How did Miss Vincent feel?\"\n },\n {\n \"33388\": \"Is someone a new parent?\"\n },\n {\n \"33389\": \"Do they have a lot of spare time?\"\n },\n {\n \"33390\": \"Who was met at the gate?\"\n },\n {\n \"33391\": \"How many kids were there?\"\n },\n {\n \"33392\": \"Was someone acting in an ignorant way?\"\n },\n {\n \"33393\": \"Who was it?\"\n },\n {\n \"33394\": \"Did Jane think he was mean?\"\n },\n {\n \"33395\": \"How did she feel about him?\"\n },\n {\n \"33396\": \"Who had seen him?\"\n },\n {\n \"33397\": \"Was someone putting something in order?\"\n },\n {\n \"33398\": \"Who?\"\n },\n {\n \"33399\": \"What was he organizing?\"\n },\n {\n \"33400\": \"Who let him sit on their knee?\"\n },\n {\n \"33401\": \"Was he holding anyone else?\"\n },\n {\n \"33402\": \"Whom?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33382\",\n \"answer\": \"on the qui vive\"\n },\n {\n \"question_id\": \"33383\",\n \"answer\": \"A telegram\"\n },\n {\n \"question_id\": \"33384\",\n \"answer\": \"in the morning\"\n },\n {\n \"question_id\": \"33385\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33386\",\n \"answer\": \"Fergus\"\n },\n {\n \"question_id\": \"33387\",\n \"answer\": \"worried\"\n },\n {\n \"question_id\": \"33388\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33389\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33390\",\n \"answer\": \"their father\"\n },\n {\n \"question_id\": \"33391\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"33392\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33393\",\n \"answer\": \"the poor boy\"\n },\n {\n \"question_id\": \"33394\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33395\",\n \"answer\": \"She thought he was a nice fellow\"\n },\n {\n \"question_id\": \"33396\",\n \"answer\": \"Sir Jasper\"\n },\n {\n \"question_id\": \"33397\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33398\",\n \"answer\": \"Fergus\"\n },\n {\n \"question_id\": \"33399\",\n \"answer\": \"his fossils and minerals\"\n },\n {\n \"question_id\": \"33400\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"33401\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33402\",\n \"answer\": \"Valetta\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nWERNER'S ATTACK \n\n\"Hold on, Bill Glutts!\" cried Randy, as he ran after the youth whom he had not seen since the Winter before. \n\n\"You leave me alone!\" returned Glutts, and then, in order to run faster, he dropped the bundle he was carrying. \n\n\"Don't let him get away!\" burst out Fred, and made a wild dash over some low bushes in Glutts's direction. In a moment more he had caught Glutts by the arm. \n\n\"Let go of me!\" screamed the former cadet, and in alarm he tried to push Fred away. But the youngest Rover boy clung fast, and then Glutts aimed a blow with his fist at Fred's face. \n\nHad the blow landed as intended, it would have hurt severely; but the youngest Rover ducked, and then hit Glutts a stinging blow on the chin. \n\nBy this time Randy and Gif were coming up, and almost before he knew it Bill Glutts was surrounded. Gif caught the former bully of the Hall by the shoulder. \n\n\"This is a nice way to act, Glutts,\" he said sternly. \"What business had you to touch our lunch?\" \n\n\"How did I know it belonged to you?\" whined Glutts, much crestfallen over the sudden turn affairs had taken. \"We found the stuff on the rocks.\" \n\n\"You can't play the innocent that way,\" broke in Randy. \"You and Gabe Werner must have followed us to this island. Gee!\" he added quickly, \"where is Werner?\" \n\n\"Jack went after him,\" answered Fred; \"and so did Andy and Spouter.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24662\": \"Who did Gif catch by the shoulder?\"\n },\n {\n \"24663\": \"his name?\"\n },\n {\n \"24664\": \"how many encircled him?\"\n },\n {\n \"24665\": \"who surrounded him?\"\n },\n {\n \"24666\": \"who else?\"\n },\n {\n \"24667\": \"how did Fred avoid a punch?\"\n },\n {\n \"24668\": \"where would it have landed?\"\n },\n {\n \"24669\": \"How long was it since Randy last saw Bill?\"\n },\n {\n \"24670\": \"what did Bill drop?\"\n },\n {\n \"24671\": \"what was in it?\"\n },\n {\n \"24672\": \"What did Gif say he'd touched?\"\n },\n {\n \"24673\": \"The captured boy said they'd found stuff where?\"\n },\n {\n \"24674\": \"was he happy at the way things were working out?\"\n },\n {\n \"24675\": \"WHere did he follow them?\"\n },\n {\n \"24676\": \"who was he with?\"\n },\n {\n \"24677\": \"who went after that guy?\"\n },\n {\n \"24678\": \"how many others?\"\n },\n {\n \"24679\": \"their names?\"\n },\n {\n \"24680\": \"where had Fred hit Glutts?\"\n },\n {\n \"24681\": \"did it hurt?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24662\",\n \"answer\": \"the former bully of the Hall\"\n },\n {\n \"question_id\": \"24663\",\n \"answer\": \"Bill Glutts\"\n },\n {\n \"question_id\": \"24664\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24665\",\n \"answer\": \"Randy and Gif\"\n },\n {\n \"question_id\": \"24666\",\n \"answer\": \"Fred\"\n },\n {\n \"question_id\": \"24667\",\n \"answer\": \"he ducked\"\n },\n {\n \"question_id\": \"24668\",\n \"answer\": \"his face\"\n },\n {\n \"question_id\": \"24669\",\n \"answer\": \"since the Winter before\"\n },\n {\n \"question_id\": \"24670\",\n \"answer\": \"the bundle\"\n },\n {\n \"question_id\": \"24671\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"24672\",\n \"answer\": \"Glutt's shoulder\"\n },\n {\n \"question_id\": \"24673\",\n \"answer\": \"on the rocks\"\n },\n {\n \"question_id\": \"24674\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24675\",\n \"answer\": \"to the island\"\n },\n {\n \"question_id\": \"24676\",\n \"answer\": \"Gabe Werner\"\n },\n {\n \"question_id\": \"24677\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"24678\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"24679\",\n \"answer\": \"Andy and Spouter\"\n },\n {\n \"question_id\": \"24680\",\n \"answer\": \"on the chin\"\n },\n {\n \"question_id\": \"24681\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there was a cute brown puppy. He was a very happy puppy. His name was Rudy. Rudy had a best friend. His name was Thomas. Thomas had a nice dad named Rick. Thomas and Rudy had been friends for almost a year. Rudy and Thomas loved to play in the big back yard. Sometimes, Thomas would ask his friend Jacob to come to the back yard and play with them. Jacob would always bring his puppy too. Jacob's puppy was named Sally. Thomas and Jacob would run around the back yard and Rudy and Sally chased them and barked. They all had so much fun playing together. One day, Thomas told Rudy that tomorrow would be a very special day. It would be Rudy's birthday. Rudy was very excited. The next day came and Thomas threw a birthday party for Rudy. All of Rudy's friends were there and they had presents for him. Jacob brought Rudy a new ball and Sally brought him a bone. There was one more present for Rudy to open. When he opened the gift from Thomas, Rudy was so exited that he jumped and barked. It was a new red collar with a shiny name tag on it. It was the best gift Rudy had ever been given.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17871\": \"where did Thomas and Rudy like to play?\"\n },\n {\n \"17872\": \"how long were they friends for?\"\n },\n {\n \"17873\": \"what kind of animal was Rudy?\"\n },\n {\n \"17874\": \"and his color?\"\n },\n {\n \"17875\": \"what was the name of Jacob's dog?\"\n },\n {\n \"17876\": \"what did she take to Jacob?\"\n },\n {\n \"17877\": \"what was the occasion?\"\n },\n {\n \"17878\": \"for who?\"\n },\n {\n \"17879\": \"was Rudy pumped?\"\n },\n {\n \"17880\": \"what was the gift?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17871\",\n \"answer\": \"yard.\"\n },\n {\n \"question_id\": \"17872\",\n \"answer\": \"a year\"\n },\n {\n \"question_id\": \"17873\",\n \"answer\": \"puppy.\"\n },\n {\n \"question_id\": \"17874\",\n \"answer\": \"brown\"\n },\n {\n \"question_id\": \"17875\",\n \"answer\": \"Sally\"\n },\n {\n \"question_id\": \"17876\",\n \"answer\": \"bone\"\n },\n {\n \"question_id\": \"17877\",\n \"answer\": \"birthday\"\n },\n {\n \"question_id\": \"17878\",\n \"answer\": \"Rudy\"\n },\n {\n \"question_id\": \"17879\",\n \"answer\": \"best gift Rudy had ever been given.\"\n },\n {\n \"question_id\": \"17880\",\n \"answer\": \"red collar\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n People think of ice cream as an American food. Yet, ice cream really came from Asia. In the late 1200s Marco Polo, the great explorer, is said to have seen rich Asians eating dishes of ice. Camels had brought the ice from distant mountains. Before it was served, the ice had been flavored with fruits. Marco Polo brought this new dish to Italy, In France cooks changed the ice recipe and made ice cream. At first, cooks tried to keep the recipe a secret. They wanted it to be a special dish for rich people. By the late 1700s, though, ice cream was sold throughout Europe and America. Some great Americans loved ice cream. George Washington was the first to buy a special machine for making it. When Thomas Jefferson returned from France, he brought an ice cream recipe home with him. Dolly Madison, wife of President James Madison, also liked ice cream, and she often served it at the White House. Actually, a famous brand of ice cream was even named after her. In the late 1800s, the ice cream industry began to grow. A way of keeping ice cream frozen had been found, so ice cream makers did not have to worry about ice cream melting anymore.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71519\": \"What is the story about?\"\n },\n {\n \"71520\": \"Where was it invented?\"\n },\n {\n \"71521\": \"How did it get world wide?\"\n },\n {\n \"71522\": \"What did he do?\"\n },\n {\n \"71523\": \"How did he learn about it?\"\n },\n {\n \"71524\": \"When did this happen?\"\n },\n {\n \"71525\": \"Where did they get the ice?\"\n },\n {\n \"71526\": \"Did they have flavors?\"\n },\n {\n \"71527\": \"Where else did it become popular?\"\n },\n {\n \"71528\": \"When was cream first added?\"\n },\n {\n \"71529\": \"When did it get to America?\"\n },\n {\n \"71530\": \"Did any famous people eat it?\"\n },\n {\n \"71531\": \"Who, for example?\"\n },\n {\n \"71532\": \"How do we know he liked it?\"\n },\n {\n \"71533\": \"Who else?\"\n },\n {\n \"71534\": \"How did Jefferson learn about it?\"\n },\n {\n \"71535\": \"Anyone else?\"\n },\n {\n \"71536\": \"Did they ever serve it to guests?\"\n },\n {\n \"71537\": \"When did it really become popular?\"\n },\n {\n \"71538\": \"How come it became popular?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71519\",\n \"answer\": \"ice cream\"\n },\n {\n \"question_id\": \"71520\",\n \"answer\": \"Asia\"\n },\n {\n \"question_id\": \"71521\",\n \"answer\": \"Marco Polo\"\n },\n {\n \"question_id\": \"71522\",\n \"answer\": \"brought this new dish to Italy\"\n },\n {\n \"question_id\": \"71523\",\n \"answer\": \"seen rich Asians eating dishes of ice\"\n },\n {\n \"question_id\": \"71524\",\n \"answer\": \"the late 1200s\"\n },\n {\n \"question_id\": \"71525\",\n \"answer\": \"Camels had brought the ice from distant mountains\"\n },\n {\n \"question_id\": \"71526\",\n \"answer\": \"the ice had been flavored with fruits\"\n },\n {\n \"question_id\": \"71527\",\n \"answer\": \"France\"\n },\n {\n \"question_id\": \"71528\",\n \"answer\": \"In France cooks changed the ice recipe and made ice cream\"\n },\n {\n \"question_id\": \"71529\",\n \"answer\": \"By the late 1700s\"\n },\n {\n \"question_id\": \"71530\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71531\",\n \"answer\": \"George Washington\"\n },\n {\n \"question_id\": \"71532\",\n \"answer\": \"He was the first to buy a special machine for making it\"\n },\n {\n \"question_id\": \"71533\",\n \"answer\": \"Thomas Jefferson\"\n },\n {\n \"question_id\": \"71534\",\n \"answer\": \"When Thomas Jefferson returned from France, he brought an ice cream recipe home with him\"\n },\n {\n \"question_id\": \"71535\",\n \"answer\": \"Dolly Madison, wife of President James Madison, also liked ice cream\"\n },\n {\n \"question_id\": \"71536\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"71537\",\n \"answer\": \"In the late 1800s,\"\n },\n {\n \"question_id\": \"71538\",\n \"answer\": \"A way of keeping ice cream frozen had been found,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n It was just three degrees above zero.\"That's cold\", thought Jane as she got ready to deliver her morning papers . Jane had 50 customers ,and on cold mornings when she couldn't ride her bicycle , it took her more than an hour to make her rounds. As she collected her papers and put them into a big canvas bag , Jane regretted that she hadn't finished her maths homework the night before . There was still time . She would hurry with the papers and finish the maths before breakfast. Less than an hour later Jane nearly finished. She had only five customers to go. She could then go home to finish her maths homework while her Mom cooked breakfast . As she rounded the corner , she saw a car in the middle of the street . It was Mr Zimmerman , the elderly man who walked with a walking stick . His car was out of gas . \"I'd like to help Mr Zimmerman,\" thought Jane ,\"but if I do , I won't have time to do my homework.\" She hated to think what Mr Robert would say if she didn't finish papers. \"It's his own fault for running out of gas,\" Jane talked to herself. \"The station is only a half mile down the street . Surely Mr Zimmerman can walk that far, even on a cold morning like this...can't he?\" As she walked down the street , Jane still wondered what to do.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21167\": \"What dilemma does she face?\"\n },\n {\n \"21168\": \"Is it hot outside?\"\n },\n {\n \"21169\": \"How cold is it?\"\n },\n {\n \"21170\": \"How does she earn money?\"\n },\n {\n \"21171\": \"How many does she have to do?\"\n },\n {\n \"21172\": \"Does she use her bike today?\"\n },\n {\n \"21173\": \"How long will her route take?\"\n },\n {\n \"21174\": \"Who does she see?\"\n },\n {\n \"21175\": \"What happened to him?\"\n },\n {\n \"21176\": \"What did she want to do at home?\"\n },\n {\n \"21177\": \"What kind?\"\n },\n {\n \"21178\": \"Was the gas station close?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21167\",\n \"answer\": \"Do homework or help the man\"\n },\n {\n \"question_id\": \"21168\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21169\",\n \"answer\": \"three degrees above zero\"\n },\n {\n \"question_id\": \"21170\",\n \"answer\": \"deliver morning papers\"\n },\n {\n \"question_id\": \"21171\",\n \"answer\": \"50 customers\"\n },\n {\n \"question_id\": \"21172\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21173\",\n \"answer\": \"more than an hour\"\n },\n {\n \"question_id\": \"21174\",\n \"answer\": \"Mr Zimmerman\"\n },\n {\n \"question_id\": \"21175\",\n \"answer\": \"His car was out of gas\"\n },\n {\n \"question_id\": \"21176\",\n \"answer\": \"homework\"\n },\n {\n \"question_id\": \"21177\",\n \"answer\": \"math\"\n },\n {\n \"question_id\": \"21178\",\n \"answer\": \"half mile\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United States Capitol, often called the Capitol Building, is the home of the United States Congress, and the seat of the legislative branch of the U.S. federal government. It sits atop Capitol Hill at the eastern end of the National Mall in Washington, D.C. Though not at the geographic center of the Federal District, the Capitol forms the origin point for the District's street-numbering system and the District's four quadrants. \n\nThe original building was completed in 1800 and was subsequently expanded, particularly with the addition of the massive dome, and expanded chambers for the bicameral legislature, the House of Representatives in the south wing and the Senate in the north wing. Like the principal buildings of the executive and judicial branches, the Capitol is built in a distinctive neoclassical style and has a white exterior. Both its east and west elevations are formally referred to as \"fronts\", though only the east front was intended for the reception of visitors and dignitaries. \n\nPrior to establishing the nation's capital in Washington, D.C., the United States Congress and its predecessors had met in Philadelphia (Independence Hall and Congress Hall), New York City (Federal Hall), and a number of other locations (York, Pennsylvania; Lancaster, Pennsylvania; Maryland State House in Annapolis, Maryland; and Nassau Hall in Princeton, New Jersey). In September 1774, the First Continental Congress brought together delegates from the colonies in Philadelphia, followed by the Second Continental Congress, which met from May 1775 to March 1781.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56699\": \"What is Congress' home?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"56699\",\n \"answer\": \"The United States Capitol\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Merriam-Webster, Incorporated, is an American company that publishes reference books, especially known for its dictionaries. \n\nIn 1831, George and Charles Merriam founded the company as G & C Merriam Co. in Springfield, Massachusetts. In 1843, after Noah Webster died, the company bought the rights to \"An American Dictionary of the English Language\" from Webster's estate. All Merriam-Webster dictionaries trace their lineage to this source. \n\nIn 1964, Encyclopædia Britannica, Inc. acquired Merriam-Webster, Inc. as a subsidiary. The company adopted its current name in 1982. \n\nIn 1806, Webster published his first dictionary, . In 1807 Webster started two decades of intensive work to expand his publication into a fully comprehensive dictionary, \"An American Dictionary of the English Language\". To help him trace the etymology of words, Webster learned 26 languages. Webster hoped to standardize American speech, since Americans in different parts of the country used somewhat different vocabularies and spelled, pronounced, and used words differently. \n\nWebster completed his dictionary during his year abroad in 1825 in Paris, and at the University of Cambridge. His 1820s book contained 70,000 words, of which about 12,000 had never appeared in a dictionary before. As a spelling reformer, Webster believed that English spelling rules were unnecessarily complex, so his dictionary introduced American English spellings, replacing \"colour\" with \"color\", \"waggon\" with \"wagon\", and \"centre\" with \"center\". He also added American words, including \"skunk\" and \"squash\", that did not appear in British dictionaries. At the age of 70 in 1828, Webster published his dictionary; it sold poorly, with only 2,500 copies putting him in debt. However, in 1840, he published the second edition in two volumes with much greater success.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33688\": \"Who bought Merriam Webster?\"\n },\n {\n \"33689\": \"Who bought them in 1964?\"\n },\n {\n \"33690\": \"What is Merriam Webster most known for?\"\n },\n {\n \"33691\": \"What type of book is that?\"\n },\n {\n \"33692\": \"What was Webster's first name?\"\n },\n {\n \"33693\": \"What did he own the rights to?\"\n },\n {\n \"33694\": \"When did he pass away?\"\n },\n {\n \"33695\": \"Who purchased the rights to his dictionary after that?\"\n },\n {\n \"33696\": \"When did Webster first publish a dictionary?\"\n },\n {\n \"33697\": \"What about before that?\"\n },\n {\n \"33698\": \"How long did it take him to expand that into something bigger?\"\n },\n {\n \"33699\": \"Did he learn a lot of languages?\"\n },\n {\n \"33700\": \"How many?\"\n },\n {\n \"33701\": \"For what purpose?\"\n },\n {\n \"33702\": \"What was his goal in creating this book?\"\n },\n {\n \"33703\": \"Did people across the country say things differently?\"\n },\n {\n \"33704\": \"Where did he finally finish his work?\"\n },\n {\n \"33705\": \"Where at?\"\n },\n {\n \"33706\": \"Where else?\"\n },\n {\n \"33707\": \"How many words had never been in a dictionary before?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33688\",\n \"answer\": \"G & C Merriam Co\"\n },\n {\n \"question_id\": \"33689\",\n \"answer\": \"Encyclop\\u00e6dia Britannica\"\n },\n {\n \"question_id\": \"33690\",\n \"answer\": \"Dictionaries.\"\n },\n {\n \"question_id\": \"33691\",\n \"answer\": \"A reference book.\"\n },\n {\n \"question_id\": \"33692\",\n \"answer\": \"Noah.\"\n },\n {\n \"question_id\": \"33693\",\n \"answer\": \"An American Dictionary of the English Language\"\n },\n {\n \"question_id\": \"33694\",\n \"answer\": \"1843\"\n },\n {\n \"question_id\": \"33695\",\n \"answer\": \"George and Charles Merriam.\"\n },\n {\n \"question_id\": \"33696\",\n \"answer\": \"1828\"\n },\n {\n \"question_id\": \"33697\",\n \"answer\": \"1806\"\n },\n {\n \"question_id\": \"33698\",\n \"answer\": \"2 decades.\"\n },\n {\n \"question_id\": \"33699\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33700\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"33701\",\n \"answer\": \"Help him trace the etymology of words.\"\n },\n {\n \"question_id\": \"33702\",\n \"answer\": \"Standardize American speech\"\n },\n {\n \"question_id\": \"33703\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33704\",\n \"answer\": \"1825\"\n },\n {\n \"question_id\": \"33705\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"33706\",\n \"answer\": \"University of Cambridge\"\n },\n {\n \"question_id\": \"33707\",\n \"answer\": \"12,000\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Nana had a bunch of money. She had saved money her whole life. But Nana was afraid of people stealing her money. She planned to hide it. First she moved it around in her house and hid it behind a wall. Then she put her money in the attic. But she still didn't feel safe about her money. She was sure someone would find it. Finally she took it outside and started digging in the ground. She buried it in the ground so no one would find it. \"It is going be safe here,\" said Nana. She was very pleased that she had hidden her money so well. The next day after breakfast, she went outside to make sure her money was still there. She stopped at the spot she thought she had buried it and began digging. After some time she hadn't found it. She climbed out of the hole and looked around. She had used a tree as a way to mark the spot. But she couldn't tell which tree. The wind was blowing and the trees all looked the same! She had used a brown spot on the ground to mark the spot. But she couldn't tell which brown spot it was! She knew she wasn't lost. Nana had hidden her money so well that no one could find it, and that included her!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83098\": \"What did granny have a bunch of?\"\n },\n {\n \"83099\": \"How long had she been saving?\"\n },\n {\n \"83100\": \"and what did she plan to do with it?\"\n },\n {\n \"83101\": \"and where did she hide it?\"\n },\n {\n \"83102\": \"and where next?\"\n },\n {\n \"83103\": \"did she think it was hid well?\"\n },\n {\n \"83104\": \"where did she hide it next?\"\n },\n {\n \"83105\": \"when did she go make sure it was still there?\"\n },\n {\n \"83106\": \"what kind of mark on the ground did she use to know where it was?\"\n },\n {\n \"83107\": \"did she find it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83098\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"83099\",\n \"answer\": \"her whole life\"\n },\n {\n \"question_id\": \"83100\",\n \"answer\": \"hide it\"\n },\n {\n \"question_id\": \"83101\",\n \"answer\": \"behind a wall\"\n },\n {\n \"question_id\": \"83102\",\n \"answer\": \"in the attic\"\n },\n {\n \"question_id\": \"83103\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"83104\",\n \"answer\": \"in the ground\"\n },\n {\n \"question_id\": \"83105\",\n \"answer\": \"The next day\"\n },\n {\n \"question_id\": \"83106\",\n \"answer\": \"a brown spot\"\n },\n {\n \"question_id\": \"83107\",\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 Shelly Nielsen sees students fall asleep in class at least twice a week. \"When I see \n\nteens asleep in my class, I wonder if I am really that boring\", said Nielsen, a teacher. \"I also wonder why they are so tired.\" Neilson first tried to wake up sleeping students quietly. If the snoozing continues, she may call a student's parents to find out how much sleep the students is getting at night and why. \n\nAccording to a research, teens need at least nine hours of sleep to function \n\nproperly during the day. And more than 90 percent of teens say they are sleeping less than that each night. \n\n\"The big problem is the social demand for homework, video games and friends. Teens don't understand how important sleep is.\" said Dr. Carl Lawyer, a specialist. \n\nRebecca Lucas, another teacher agrees. \"Teens are busy,\" she said, \" many \n\nactivities force them to get home pretty late. When I see teens sleeping in my class, I feel sad. I also feel frustrated because I have so much to teach in such a short amount of time and teens sleeping in the class slows me down.\" \n\nAl Taylor, a teacher says sleeping is not allowed in his class. \"When I see a teen \n\nsleeping in my class, I feel bad that they didn't get enough sleep but they need to correct it at home,\" Taylor said. \"I've raised teenage boys myself. Teenagers like to wait to the last minute to do their homework so that they often stay up late trying to finish it.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12096\": \"What is the teacher's name/\"\n },\n {\n \"12097\": \"How much sleep do teens need?\"\n },\n {\n \"12098\": \"Do most teens get that much?\"\n },\n {\n \"12099\": \"What is one thing that prevents them from getting enough sleep?\"\n },\n {\n \"12100\": \"What's another?\"\n },\n {\n \"12101\": \"What is Dr. Lawyer's job?\"\n },\n {\n \"12102\": \"What is Rebecca Lucas' profession?\"\n },\n {\n \"12103\": \"How does she feel when kids sleep in class?\"\n },\n {\n \"12104\": \"What is Al Taylor's profession?\"\n },\n {\n \"12105\": \"Does he have his own children?\"\n },\n {\n \"12106\": \"Are they girls?\"\n },\n {\n \"12107\": \"What does he say about homework?\"\n },\n {\n \"12108\": \"What does shelly Nielsen see in her class?\"\n },\n {\n \"12109\": \"What does she wonder about?\"\n },\n {\n \"12110\": \"What does Shelly Nielsen do sometimes if kids are sleeping in class?\"\n },\n {\n \"12111\": \"does she do anything else?\"\n },\n {\n \"12112\": \"What does she want to know from the parents?\"\n },\n {\n \"12113\": \"What percentage of teens don't get 9 hours of sleep?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12096\",\n \"answer\": \"Shelly Nielsen\"\n },\n {\n \"question_id\": \"12097\",\n \"answer\": \"nine hours\"\n },\n {\n \"question_id\": \"12098\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12099\",\n \"answer\": \"video games\"\n },\n {\n \"question_id\": \"12100\",\n \"answer\": \"friends\"\n },\n {\n \"question_id\": \"12101\",\n \"answer\": \"Sleep specialist\"\n },\n {\n \"question_id\": \"12102\",\n \"answer\": \"teacher\"\n },\n {\n \"question_id\": \"12103\",\n \"answer\": \"bad\"\n },\n {\n \"question_id\": \"12104\",\n \"answer\": \"teacher\"\n },\n {\n \"question_id\": \"12105\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"12106\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"12107\",\n \"answer\": \"Teenagers like to wait to the last minute to do their homework\"\n },\n {\n \"question_id\": \"12108\",\n \"answer\": \"teen sleeping\"\n },\n {\n \"question_id\": \"12109\",\n \"answer\": \"if it needs to be corrected at home\"\n },\n {\n \"question_id\": \"12110\",\n \"answer\": \"wake up sleeping students quietly\"\n },\n {\n \"question_id\": \"12111\",\n \"answer\": \"she may call a student's parents\"\n },\n {\n \"question_id\": \"12112\",\n \"answer\": \"to find out how much sleep the students is getting at night and why\"\n },\n {\n \"question_id\": \"12113\",\n \"answer\": \"90 percent\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- About a year after losing his dad in a plane crash, Matt Snoddy climbed into the cockpit for an emotional flight. \n\nHis kids Charlie, age 5 and Alice, 3, were tucked in the back of the tiny Cessna and his flight instructor was seated alongside. Snoddy pulled back on the stick and they were airborne. \n\nThe Lexington, Kentucky, landscape spread out below them as the plane gained altitude. Snoddy couldn't help but gaze down at Blue Grass Airport, where Comair Flight 191 crashed during takeoff, killing his father, Tim Snoddy, and 48 others. \n\nA government investigation blamed the crash on Flight 191's pilots, who attempted takeoff from a wrong runway. The FAA administrator at the time said disasters like Flight 191 might be avoided under NextGen, the nation's sweeping air traffic overhaul set to roll out by 2025. \n\nMemories of the crash had kept Snoddy -- a longtime private pilot -- out of the cockpit until his wife offered the flight as a gift for Father's Day. \"She wanted me to take the kids up and to see if I wanted to keep flying.\" \n\nSnoddy and his father shared a love for flying -- Matt Snoddy as a pilot and his dad as a passenger. Tim Snoddy enjoyed flying so much he'd been talking about getting his pilots' license, too. \n\nTim Snoddy, a 51-year-old accountant and consultant for legal cases, was a frequent business traveler who left his Lexington home many times a year to spend a total of six months away at his offices in Asheville, North Carolina, and near Fort Lauderdale, Florida. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47145\": \"What airport was Matt Snoddy at?\"\n },\n {\n \"47146\": \"What was he about to do?\"\n },\n {\n \"47147\": \"How long had it been since he had done that?\"\n },\n {\n \"47148\": \"Why had it been so long?\"\n },\n {\n \"47149\": \"Did he have kids?\"\n },\n {\n \"47150\": \"How many?\"\n },\n {\n \"47151\": \"What were their names?\"\n },\n {\n \"47152\": \"How old was Charlie?\"\n },\n {\n \"47153\": \"Were they with him?\"\n },\n {\n \"47154\": \"Anyone else?\"\n },\n {\n \"47155\": \"Who?\"\n },\n {\n \"47156\": \"Who was his father's crash blamed on?\"\n },\n {\n \"47157\": \"What did they do?\"\n },\n {\n \"47158\": \"Why is he now getting back in the driver's seat?\"\n },\n {\n \"47159\": \"Why did she do this?\"\n },\n {\n \"47160\": \"How old was his father when he passed?\"\n },\n {\n \"47161\": \"Was his dad a pilot?\"\n },\n {\n \"47162\": \"Did he want to be?\"\n },\n {\n \"47163\": \"What was his occupation?\"\n },\n {\n \"47164\": \"Did he travel a lot?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47145\",\n \"answer\": \"Blue Grass Airport\"\n },\n {\n \"question_id\": \"47146\",\n \"answer\": \"climbed into the cockpit\"\n },\n {\n \"question_id\": \"47147\",\n \"answer\": \"- About a year\"\n },\n {\n \"question_id\": \"47148\",\n \"answer\": \"He lost his dad in a plane crash\"\n },\n {\n \"question_id\": \"47149\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47150\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"47151\",\n \"answer\": \"Charlie and Alice\"\n },\n {\n \"question_id\": \"47152\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"47153\",\n \"answer\": \"Ye\"\n },\n {\n \"question_id\": \"47154\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47155\",\n \"answer\": \"his flight instructo\"\n },\n {\n \"question_id\": \"47156\",\n \"answer\": \"on Flight 191's pilots,\"\n },\n {\n \"question_id\": \"47157\",\n \"answer\": \"attempted takeoff from a wrong runway.\"\n },\n {\n \"question_id\": \"47158\",\n \"answer\": \"his wife offered the flight as a gift for Father's Day.\"\n },\n {\n \"question_id\": \"47159\",\n \"answer\": \"\\\"She wanted him to take the kids up and to see if I wanted to keep flying.\\\"\"\n },\n {\n \"question_id\": \"47160\",\n \"answer\": \"51\"\n },\n {\n \"question_id\": \"47161\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47162\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47163\",\n \"answer\": \"accountant and consultant for legal cases,\"\n },\n {\n \"question_id\": \"47164\",\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) -- Jeanne Cooper, who played Katherine Chancellor, the \"Dame of Genoa City,\" on \"The Young and the Restless,\" has died. She was 84. \n\nHer death was confirmed by her son, actor Corbin Bernsen, on his Twitter account. \n\n\"Mom passed this morning,\" Bernsen posted. \"She was in peace and without fear.\" \n\nCooper had been suffering from an undisclosed illness. The cause of death was not given. \n\nCooper was already a well-established TV actress when she took the role of Chancellor in 1973. \"The Young and the Restless\" was struggling in the ratings and its creator, William J. Bell, wanted to spice things up. \n\n\"Jeanne was the matriarch of the show in every sense of the word,\" said Lauralee Bell, Christine/Cricket on \"The Young and the Restless\" and William Bell's daughter. \n\n\"When you did work you were proud of, you'd hope for approval or a 'good job' from Jeanne as a child would from a parent. When things got too tense, she'd break the tension with her amazing wit. She would teach the younger actors without ever talking down to them. In fact, she would raise them up,\" said Bell. \"She always had my back and my parents (and our whole family) always had hers.\" \n\nKate Linder, another member of \"The Young and the Restless\" cast, said Cooper was her \"mentor and an amazing actress and friend.\" Linder, Esther Valentine on the show, said, \"When Jeanne welcomed you into her life, you knew it and it was a fantastic feeling. This is truly the end of an era, not just for fans of 'The Young and the Restless' but for all of the people she touched throughout her long and distinguished career and life.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57192\": \"Who confirmed Jeanne Coopers death?\"\n },\n {\n \"57193\": \"Was it a painful death?\"\n },\n {\n \"57194\": \"Was it expected?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57192\",\n \"answer\": \"her son\"\n },\n {\n \"question_id\": \"57193\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57194\",\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 Washington (CNN) -- More than 42 years after Air Force Chief Master Sgt. Richard L. Etchberger died on a Laotian mountaintop, President Barack Obama on Tuesday awarded him the Medal of Honor, saying, \"It's never too late to do the right thing. It's never too late to pay tribute to our Vietnam veterans and their families.\" \n\nEtchenberg's three sons were at the White House for the ceremony. For decades they didn't know about their father's heroism. \n\nCory Etchberger was in third grade in 1968, when he was told that his father had died in a helicopter accident in Southeast Asia. At age 29 he learned the truth, when the U.S. Air Force declassified his father's story. \n\n\"I was stunned,\" he told CNN during a visit to his hometown of Hamburg, Pennsylvania. \n\nDuring the Vietnam War, U.S. troops weren't supposed to be in neutral Laos, so Richard Etchberger and a handful of colleagues shed their uniforms and posed as civilians to run a top secret radar installation high on a Laotian cliff. Called Lima Site 85, it guided U.S. bombers to sites in North Vietnam and parts of Laos under communist control. \n\n\"Dick and his crew believed they could help turn the tide of the war, perhaps even end it,\" said Obama. \n\nThe North Vietnamese wanted to eliminate the installation, and early on the morning of March 11, 1968, its soldiers succeeded in scaling the 3,000-foot precipice and launching an attack. \n\nTimothy Castle, of the CIA's Center for the Study of Intelligence, wrote the book \"One Day Too Long: Top Secret Site 85 and the Bombing of North Vietnam.\" He calls Etchberger \"a hero.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18475\": \"Who was in third grade?\"\n },\n {\n \"18476\": \"When was he in 3rd grade?\"\n },\n {\n \"18477\": \"Who died?\"\n },\n {\n \"18478\": \"What was his ranking?\"\n },\n {\n \"18479\": \"Did he have children?\"\n },\n {\n \"18480\": \"how many?\"\n },\n {\n \"18481\": \"What was he being awarded?\"\n },\n {\n \"18482\": \"Who was awarding him with it?\"\n },\n {\n \"18483\": \"How did he die?\"\n },\n {\n \"18484\": \"Was that actually how he died?\"\n },\n {\n \"18485\": \"When did he learn the truth of his fathers death?\"\n },\n {\n \"18486\": \"What was Richard's nickname?\"\n },\n {\n \"18487\": \"Who wrote a book?\"\n },\n {\n \"18488\": \"What was the book called?\"\n },\n {\n \"18489\": \"Was Richard called a hero?\"\n },\n {\n \"18490\": \"How did Richard exactly die?\"\n },\n {\n \"18491\": \"What war did he die during?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"18475\",\n \"answer\": \"Cory Etchberger\"\n },\n {\n \"question_id\": \"18476\",\n \"answer\": \"in 1968\"\n },\n {\n \"question_id\": \"18477\",\n \"answer\": \"Richard L. Etchberger\"\n },\n {\n \"question_id\": \"18478\",\n \"answer\": \"Air Force Chief Master Sgt.\"\n },\n {\n \"question_id\": \"18479\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18480\",\n \"answer\": \"three sons\"\n },\n {\n \"question_id\": \"18481\",\n \"answer\": \"Medal of Honor\"\n },\n {\n \"question_id\": \"18482\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"18483\",\n \"answer\": \"in a helicopter accident\"\n },\n {\n \"question_id\": \"18484\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18485\",\n \"answer\": \"when he was 29\"\n },\n {\n \"question_id\": \"18486\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"18487\",\n \"answer\": \"Timothy Castle,\"\n },\n {\n \"question_id\": \"18488\",\n \"answer\": \"\\\"One Day Too Long: Top Secret Site 85 and the Bombing of North Vietnam.\\\"\"\n },\n {\n \"question_id\": \"18489\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18490\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18491\",\n \"answer\": \"the Vietnam War\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 worldwide Jewish rights organization is pushing Hungarian authorities to prosecute a man it claims is a Nazi war criminal, recently discovered in Budapest, Hungary, who allegedly sent more than 15,000 Jews to Auschwitz in the spring of 1944. \n\nThe Simon Wiesenthal Center found Ladislaus Csizsik-Csatary as part of its \"Last Chance\" project, said Efraim Zuroff, director of the center's Israel office. \n\nThe center cooperated with British tabloid The Sun to photograph Csizsik-Csatary, who reportedly is 97, and ask him questions, Zuroff said. \"We're the ones who found him; they're the ones who photographed him.\" \n\nCsizsik-Csatary served as a senior Hungarian police officer in the city of Kosice, which is now in Slovakia but was under Hungarian rule in the 1940s, the center said. He topped the Wiesenthal Center's 2012 list of most wanted Nazi war criminals. \n\n\"He was a commander of a ghetto,\" Zuroff told CNN. \n\nReport: Hitler ordered reprieve for Jewish man \n\nCsizsik-Csatary participated in the deportation of 15,700 Jews to the Auschwitz concentration camp in 1944, witnesses have told the center. He also played a role in \"deportations to the Ukraine to be killed -- 300 Jews,\" Zuroff said. \n\n\"We found eyewitnesses on three different continents,\" Zuroff said. Those witnesses told the center about Csizsik-Csatary's cruelty to Jewish detainees and his role in the deportations to Auschwitz and Ukraine. \n\nConfronted by a Sun reporter, Csizsik-Csatary denied the allegations, the tabloid reported Sunday. \n\nA witness to the August 1941 Ukraine deportations had nine family members who were deported, he told CNN. Csizsik-Csatary made sure four of them were brought back from forced labor with the Hungarian army so they would be deported and killed, according to Zuroff. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98364\": \"Who is pushing to prosecute a man it claims to be a Nazi war criminal?\"\n },\n {\n \"98365\": \"Where was he discovered?\"\n },\n {\n \"98366\": \"Who did the center colaberate with to get a photograph of the man?\"\n },\n {\n \"98367\": \"What project led the orginization to find him?\"\n },\n {\n \"98368\": \"How many different continents did they find eyewitnesses?\"\n },\n {\n \"98369\": \"What is the name of the organization that found him?\"\n },\n {\n \"98370\": \"What did Zuroff say to CNN?\"\n },\n {\n \"98371\": \"When confronted by The Sun did he deny the allegation?\"\n },\n {\n \"98372\": \"How old is the man currently?\"\n },\n {\n \"98373\": \"Which City did he serve as a Hungarian police officer?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98364\",\n \"answer\": \"Jewish rights organization\"\n },\n {\n \"question_id\": \"98365\",\n \"answer\": \"Budapest\"\n },\n {\n \"question_id\": \"98366\",\n \"answer\": \"The Sun\"\n },\n {\n \"question_id\": \"98367\",\n \"answer\": \"\\\"Last Chance\\\"\"\n },\n {\n \"question_id\": \"98368\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"98369\",\n \"answer\": \"The Simon Wiesenthal Center\"\n },\n {\n \"question_id\": \"98370\",\n \"answer\": \"Csizsik-Csatary participated in the deportation of 15,700 Jews to the Auschwitz concentration camp in 1944\"\n },\n {\n \"question_id\": \"98371\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98372\",\n \"answer\": \"97\"\n },\n {\n \"question_id\": \"98373\",\n \"answer\": \"Kosice\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVII \n\nSouth they held along the coast, hunting, fishing, swimming, and horse-buying. Billy shipped his purchases on the coasting steamers. Through Del Norte and Humboldt counties they went, and through Mendocino into Sonoma--counties larger than Eastern states--threading the giant woods, whipping innumerable trout-streams, and crossing countless rich valleys. Ever Saxon sought the valley of the moon. Sometimes, when all seemed fair, the lack was a railroad, sometimes madrono and manzanita trees, and, usually, there was too much fog. \n\n\"We do want a sun-cocktail once in a while,\" she told Billy. \n\n\"Yep,\" was his answer. \"Too much fog might make us soggy. What we're after is betwixt an' between, an' we'll have to get back from the coast a ways to find it.\" \n\nThis was in the fall of the year, and they turned their backs on the Pacific at old Fort Ross and entered the Russian River Valley, far below Ukiah, by way of Cazadero and Guerneville. At Santa Rosa Billy was delayed with the shipping of several horses, so that it was not until afternoon that he drove south and east for Sonoma Valley. \n\n\"I guess we'll no more than make Sonoma Valley when it'll be time to camp,\" he said, measuring the sun with his eye. \"This is called Bennett Valley. You cross a divide from it and come out at Glen Ellen. Now this is a mighty pretty valley, if anybody should ask you. An' that's some nifty mountain over there.\" \n\n\"The mountain is all right,\" Saxon adjudged. \"But all the rest of the hills are too bare. And I don't see any big trees. It takes rich soil to make big trees.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42108\": \"What direction were they headed?\"\n },\n {\n \"42109\": \"What did they seek?\"\n },\n {\n \"42110\": \"Did they do anything along the way?\"\n },\n {\n \"42111\": \"Like what?\"\n },\n {\n \"42112\": \"Anything else\"\n },\n {\n \"42113\": \"What else?\"\n },\n {\n \"42114\": \"Did they buy anything?\"\n },\n {\n \"42115\": \"What?\"\n },\n {\n \"42116\": \"How did they transport what they'd bought?\"\n },\n {\n \"42117\": \"Who was responsible for doing this?\"\n },\n {\n \"42118\": \"Did they travel through forest?\"\n },\n {\n \"42119\": \"What was there an excess of?\"\n },\n {\n \"42120\": \"What was there an occasional dearth of?\"\n },\n {\n \"42121\": \"Did the female character feel they needed sunshine?\"\n },\n {\n \"42122\": \"Did her companion agree?\"\n },\n {\n \"42123\": \"What slowed them down?\"\n },\n {\n \"42124\": \"Where?\"\n },\n {\n \"42125\": \"At what point did they move away from the ocean?\"\n },\n {\n \"42126\": \"When did they arrive at Sonoma Valley?\"\n },\n {\n \"42127\": \"How did the male character describe Bennett Valley?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42108\",\n \"answer\": \"South\"\n },\n {\n \"question_id\": \"42109\",\n \"answer\": \"the valley of the moon.\"\n },\n {\n \"question_id\": \"42110\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"42111\",\n \"answer\": \"hunting\"\n },\n {\n \"question_id\": \"42112\",\n \"answer\": \"fishing\"\n },\n {\n \"question_id\": \"42113\",\n \"answer\": \"swimming\"\n },\n {\n \"question_id\": \"42114\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"42115\",\n \"answer\": \"horses\"\n },\n {\n \"question_id\": \"42116\",\n \"answer\": \"on the coasting steamers\"\n },\n {\n \"question_id\": \"42117\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"42118\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"42119\",\n \"answer\": \"fog\"\n },\n {\n \"question_id\": \"42120\",\n \"answer\": \"railroads\"\n },\n {\n \"question_id\": \"42121\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"42122\",\n \"answer\": \"Yep\"\n },\n {\n \"question_id\": \"42123\",\n \"answer\": \"the shipping of several horses\"\n },\n {\n \"question_id\": \"42124\",\n \"answer\": \"Santa Rosa\"\n },\n {\n \"question_id\": \"42125\",\n \"answer\": \"Fort Ross\"\n },\n {\n \"question_id\": \"42126\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"42127\",\n \"answer\": \"mighty pretty\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Pedro Rossi is happy--he is very,very happy! He won $500,000! He won the lottery ! Pedro is happy for only a few days. Then he remembers his lottery ticket! He throws it in the garbage _ ! Pedro runs to the garbage can and looks in it. The garbage can is not over there at all! \"The garbage is gone,\"his wife says. \"The garbage truck comes in the morning.\" The garbage truck takes the garbage can to the garbage dump ! Pedro runs to the dump. He looks for it for two days. But he can't find it. Pedro lives in town in Brazil. Pedro tells the people in the town,\"Look for my lottery ticket at the dump. If you find it,I can give you half the money.\" Everyday hundreds of people go to the dump to look for the ticket. Five days later,a man finds it. Pedro gives the man $250,000. Pedro won $500,000 in the lottery. Now he won only 250,000. But he is not sad. \"Before,one man was happy,\"Pedro says. \"Now two men are happy!\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65516\": \"Why was Pedro so happy?\"\n },\n {\n \"65517\": \"Did his happiness last long?\"\n },\n {\n \"65518\": \"What happened take make his happiness so short lived?\"\n },\n {\n \"65519\": \"Where was it?\"\n },\n {\n \"65520\": \"Was he able to find it in the garbage can?\"\n },\n {\n \"65521\": \"Why not?\"\n },\n {\n \"65522\": \"When did the garbage truck pick it up?\"\n },\n {\n \"65523\": \"Where does the city's garbage end up?\"\n },\n {\n \"65524\": \"Why were so many people headed towards the garbage dump?\"\n },\n {\n \"65525\": \"What was their incentive to do this?\"\n },\n {\n \"65526\": \"Did anyone find the ticket?\"\n },\n {\n \"65527\": \"Who?\"\n },\n {\n \"65528\": \"Was Pedro happy for the man who found the ticket?\"\n },\n {\n \"65529\": \"How long did it take for someone to find the ticket?\"\n },\n {\n \"65530\": \"Where does Pedro live?\"\n },\n {\n \"65531\": \"Who reminded him that the garbage had been taken out already?\"\n },\n {\n \"65532\": \"How did he get to the dump?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65516\",\n \"answer\": \"he won $500,000\"\n },\n {\n \"question_id\": \"65517\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65518\",\n \"answer\": \"he remembered where the ticket is\"\n },\n {\n \"question_id\": \"65519\",\n \"answer\": \"in the garbage\"\n },\n {\n \"question_id\": \"65520\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"65521\",\n \"answer\": \"The garbage is gone,\"\n },\n {\n \"question_id\": \"65522\",\n \"answer\": \"in the morning\"\n },\n {\n \"question_id\": \"65523\",\n \"answer\": \"the garbage dump\"\n },\n {\n \"question_id\": \"65524\",\n \"answer\": \"to look for the ticket\"\n },\n {\n \"question_id\": \"65525\",\n \"answer\": \"getting half the money\"\n },\n {\n \"question_id\": \"65526\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65527\",\n \"answer\": \"a man\"\n },\n {\n \"question_id\": \"65528\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65529\",\n \"answer\": \"Five days\"\n },\n {\n \"question_id\": \"65530\",\n \"answer\": \"Brazil\"\n },\n {\n \"question_id\": \"65531\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"65532\",\n \"answer\": \"he ran\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Many Americans have been leaving their cars at home and riding to work on bicycles. Andy Clark is the leader of the League of American Bicyclists. His group supports bicycling for fun, fitness and transportation. \n\nClark says this is good news for the environment. He says riding a bicycle to work does not burn fossil fuel or creates dangerous pollutions. Experts say the effects are the most important on short trips. The Department of Transportation says fifty percent of Americans drive eight kilometers or fewer to work. Shorter car trips set out more pollution into the air for each kilometer drive. This is because the car engine will set out the harmful air when it warms up before it can work well. \n\nJames, a members of Congress , is a strong supporter of bicycle use. He says cities, counties, state governments and state highway transportation agencies are planning the roadways of the future. They are creating roads and paths for bicycles in cities and between communities. \n\nLast year, Portland, the Pacific Northwest city in the state of Oregon, had the highest percentage of bicycle users in the United States. Portland has been doing progressive city planning for many years to create special paths for bike riders.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88244\": \"What have many people swapped out cars for?\"\n },\n {\n \"88245\": \"What is the role of Andy Clark?\"\n },\n {\n \"88246\": \"What percentage of Americans drive less than 8 kilometers to work?\"\n },\n {\n \"88247\": \"What do these trips do the environment?\"\n },\n {\n \"88248\": \"Does Congress mentioned support bicycle use?\"\n },\n {\n \"88249\": \"What city has the most bicycle uSers in the U.S.?\"\n },\n {\n \"88250\": \"Are transportation agencies doing anything to encourage more bicycle uers?\"\n },\n {\n \"88251\": \"Besides transportation, what does the group support bicycling for?\"\n },\n {\n \"88252\": \"How long did it take Portland to setup for bicyclists?\"\n },\n {\n \"88253\": \"What type of fuel is avoided with bicycle use?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88244\",\n \"answer\": \"bicycles\"\n },\n {\n \"question_id\": \"88245\",\n \"answer\": \"Andy Clark is the leader of the League of American Bicyclists\"\n },\n {\n \"question_id\": \"88246\",\n \"answer\": \"fifty\"\n },\n {\n \"question_id\": \"88247\",\n \"answer\": \"does not burn fossil fuel or creates dangerous pollutions\"\n },\n {\n \"question_id\": \"88248\",\n \"answer\": \"strong supporter of bicycle use\"\n },\n {\n \"question_id\": \"88249\",\n \"answer\": \"Portland\"\n },\n {\n \"question_id\": \"88250\",\n \"answer\": \"They are creating roads and paths for bicycles in cities and between communities\"\n },\n {\n \"question_id\": \"88251\",\n \"answer\": \"fun, fitness\"\n },\n {\n \"question_id\": \"88252\",\n \"answer\": \"many years\"\n },\n {\n \"question_id\": \"88253\",\n \"answer\": \"fossil\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXX \n\nTHE ENEMY RUNS AWAY \n\nIn a very few minutes Dave and his chums were on the way to find Merwell and Jasniff. As the party walked along Hooker Montgomery told more about his dealings with the rascally students. It was plain to Dave that the so-styled doctor had been nothing but a weak tool, and in a way the youth had to pity the poor wretch whom dissipation had so dragged down. \n\nIn less than five minutes the party arrived at a small residence set well back in a garden. The walk was unshoveled, and they had to pick their way through the snow. When they rang the doorbell a tall, thin elderly woman answered their summons. \n\n\"Good-evening, Mrs. Slater,\" said Hooker Montgomery. \"I'd like to see Mr. Merwell and Mr. Jasniff.\" \n\n\"They have gone,\" was the sharp answer, and Mrs. Slater looked as if she wished to shut the door in the faces of the callers. \n\n\"When will they be back?\" \n\n\"They won't be back.\" \n\n\"Will you kindly tell me where they have gone?\" questioned Dave. \n\n\"Who are you?\" And the woman eyed Dave suspiciously. \n\n\"My name is David Porter, and I wish to see Merwell and Jasniff very much.\" \n\n\"Porter! Then you must be that young villain Link told me about--the one who made so much trouble for him out on the ranch!\" exclaimed Mrs. Slater. \"Well, you can't see Link, or his friend. They have gone, and they won't be back.\" \n\n\"Have they gone to Rockville Academy?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92634\": \"What is the name of this chapter?\"\n },\n {\n \"92635\": \"Who was the bad person?\"\n },\n {\n \"92636\": \"What was the weather like?\"\n },\n {\n \"92637\": \"who was the weak \\\"tool\\\"?\"\n },\n {\n \"92638\": \"What was his occupation?\"\n },\n {\n \"92639\": \"Who pittied him?\"\n },\n {\n \"92640\": \"Upon whos home did they come to?\"\n },\n {\n \"92641\": \"Who spoke to them at the entrance of the home?\"\n },\n {\n \"92642\": \"Was she fat?\"\n },\n {\n \"92643\": \"was she old?\"\n },\n {\n \"92644\": \"was she pleasant?\"\n },\n {\n \"92645\": \"who questioned her?\"\n },\n {\n \"92646\": \"Who did she accuse of being trouble?\"\n },\n {\n \"92647\": \"Why did she thin that?\"\n },\n {\n \"92648\": \"Where he know the accused?\"\n },\n {\n \"92649\": \"Do we know if they left for the school?\"\n },\n {\n \"92650\": \"Did the home have a garden?\"\n },\n {\n \"92651\": \"was it a large home?\"\n },\n {\n \"92652\": \"Was the house in a big city?\"\n },\n {\n \"92653\": \"was the walk clean?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92634\",\n \"answer\": \"THE ENEMY RUNS AWAY\"\n },\n {\n \"question_id\": \"92635\",\n \"answer\": \"Hooker Montgomery\"\n },\n {\n \"question_id\": \"92636\",\n \"answer\": \"snowy\"\n },\n {\n \"question_id\": \"92637\",\n \"answer\": \"Hooker Montgomery\"\n },\n {\n \"question_id\": \"92638\",\n \"answer\": \"doctor\"\n },\n {\n \"question_id\": \"92639\",\n \"answer\": \"the youth\"\n },\n {\n \"question_id\": \"92640\",\n \"answer\": \"Mr. Merwell and Mr. Jasniff.\"\n },\n {\n \"question_id\": \"92641\",\n \"answer\": \"Mrs. Slater\"\n },\n {\n \"question_id\": \"92642\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92643\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92644\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92645\",\n \"answer\": \"Hooker Montgomery.\"\n },\n {\n \"question_id\": \"92646\",\n \"answer\": \"Porter\"\n },\n {\n \"question_id\": \"92647\",\n \"answer\": \"Link told her\"\n },\n {\n \"question_id\": \"92648\",\n \"answer\": \"the ranch\"\n },\n {\n \"question_id\": \"92649\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92650\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92651\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92652\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"92653\",\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 Thomas looked up at the clock hanging on the wall of his room. He could not wait for his friend Ben to come over today. It was the weekend, so Thomas's dad had no work the next day. This meant his father would take them sledding. This was one of Thomas' favorite winter activities, even if he always got a few bumps and scrapes along the way. Thomas heard a knocking noise downstairs and knew it was Ben at the door. He got excited. This meant they would be sledding soon. He grabbed another mouthful of one of his mother's famous sugar cookies and made his way downstairs, tripping on his shoes. He opened the door to see Ben's mom giving him a friendly smile down the walk. Ben let himself in and his mother waved goodbye to them both. Thomas asked Ben if he wanted a cup of hot chocolate and then he went to find his dad for some sledding action. Both Ben and Thomas were very happy. They got their gloves on and made their way out to the garage to wait for Thomas' dad. Thomas dad would be driving them the long distance to the park.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6130\": \"whose room was the clock in?\"\n },\n {\n \"6131\": \"when was Ben coming over?\"\n },\n {\n \"6132\": \"why wasn't thomas's dad working the next day?\"\n },\n {\n \"6133\": \"what was he going to do?\"\n },\n {\n \"6134\": \"who did thomas see when he answered the door?\"\n },\n {\n \"6135\": \"who did she wave to?\"\n },\n {\n \"6136\": \"what did he offer ben?\"\n },\n {\n \"6137\": \"then what did he do?\"\n },\n {\n \"6138\": \"what did he trip on?\"\n },\n {\n \"6139\": \"where?\"\n },\n {\n \"6140\": \"what did he eat?\"\n },\n {\n \"6141\": \"who baked them?\"\n },\n {\n \"6142\": \"what did they put on?\"\n },\n {\n \"6143\": \"where did they wait?\"\n },\n {\n \"6144\": \"who was going to drive?\"\n },\n {\n \"6145\": \"how far was the drive going to be?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6130\",\n \"answer\": \"Thomas\"\n },\n {\n \"question_id\": \"6131\",\n \"answer\": \"today\"\n },\n {\n \"question_id\": \"6132\",\n \"answer\": \"It was the weekend\"\n },\n {\n \"question_id\": \"6133\",\n \"answer\": \"go sledding\"\n },\n {\n \"question_id\": \"6134\",\n \"answer\": \"Ben's mom\"\n },\n {\n \"question_id\": \"6135\",\n \"answer\": \"Thomas and Ben\"\n },\n {\n \"question_id\": \"6136\",\n \"answer\": \"a cup of hot chocolate\"\n },\n {\n \"question_id\": \"6137\",\n \"answer\": \"he went to find his dad for some sledding action\"\n },\n {\n \"question_id\": \"6138\",\n \"answer\": \"his shoes\"\n },\n {\n \"question_id\": \"6139\",\n \"answer\": \"downstairs\"\n },\n {\n \"question_id\": \"6140\",\n \"answer\": \"sugar cookies\"\n },\n {\n \"question_id\": \"6141\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"6142\",\n \"answer\": \"their gloves\"\n },\n {\n \"question_id\": \"6143\",\n \"answer\": \"the garage\"\n },\n {\n \"question_id\": \"6144\",\n \"answer\": \"Thomas dad\"\n },\n {\n \"question_id\": \"6145\",\n \"answer\": \"long distance\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Lying low. \n\nThree of the key anti-war members of Congress are considering supporting expanded military action against ISIS -- but the key word there is \"considering.\" \n\nRep. Barbara Lee said she \"can't say\" if she'd oppose expanded military operations. \n\nThe California Democrat was the only member of Congress to vote against giving President George W. Bush -- and subsequent presidents that would follow him -- nearly unlimited authority to wage war just days after the September 11 terror attacks. \n\nThis time around, she said there's \"no question\" that ISIS needs to be stopped, but she's waiting to hear President Barack Obama's plan, which he's expected to unveil in an address Wednesday night. \n\nAnalysis: Obama speech a do-over 'no strategy' comment \n\nTo get her support, Obama has to outline a plan that is \"strategic, targeted and limited,\" Lee told CNN. \n\nRepublican Walter Jones of North Carolina, who said he will go to his grave apologizing for his vote for war in 2002, couldn't commit his support -- or opposition -- to an expanded military operation either. \n\n\"I've always regretted that vote,\" he told CNN of his vote that authorized U.S. intervention in Iraq. \"I think here we go again.\" \n\nJones said it \"depends\" on what the President says. \"I'm opposed to spending money without a debate and a strategy.\" \n\nRounding out the vocal antiwar trio, Massachusetts Democrat James McGovern, said he's \"very uneasy\" about the prospect of expanded war but stopped short of opposing it. He said he has \"a million questions\" about potential action in Syria, the role of regional partners and the cost to U.S. coffers. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84203\": \"What is being considered by Congress?\"\n },\n {\n \"84204\": \"Against whom?\"\n },\n {\n \"84205\": \"Who is the current president in the article?\"\n },\n {\n \"84206\": \"What does Obama think about it?\"\n },\n {\n \"84207\": \"Who is someone he is trying to get support?\"\n },\n {\n \"84208\": \"What is her job?\"\n },\n {\n \"84209\": \"From where?\"\n },\n {\n \"84210\": \"What is her party?\"\n },\n {\n \"84211\": \"Did she support the war after 9/11?\"\n },\n {\n \"84212\": \"How does she feel about ISIS?\"\n },\n {\n \"84213\": \"Who is another congressman to be convinced?\"\n },\n {\n \"84214\": \"Where is he from?\"\n },\n {\n \"84215\": \"What party?\"\n },\n {\n \"84216\": \"Did he vote for the war after 9/11?\"\n },\n {\n \"84217\": \"When was that vote taken?\"\n },\n {\n \"84218\": \"Was he at peace with his stance?\"\n },\n {\n \"84219\": \"What is he really against?\"\n },\n {\n \"84220\": \"Who is another antiwar congressman?\"\n },\n {\n \"84221\": \"Where is he from?\"\n },\n {\n \"84222\": \"What's his party?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84203\",\n \"answer\": \"military action\"\n },\n {\n \"question_id\": \"84204\",\n \"answer\": \"ISIS\"\n },\n {\n \"question_id\": \"84205\",\n \"answer\": \"George W. Bush\"\n },\n {\n \"question_id\": \"84206\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"84207\",\n \"answer\": \"Lee\"\n },\n {\n \"question_id\": \"84208\",\n \"answer\": \"Representative\"\n },\n {\n \"question_id\": \"84209\",\n \"answer\": \"California\"\n },\n {\n \"question_id\": \"84210\",\n \"answer\": \"Democrat\"\n },\n {\n \"question_id\": \"84211\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84212\",\n \"answer\": \"they need to be stopped\"\n },\n {\n \"question_id\": \"84213\",\n \"answer\": \"Walter Jones\"\n },\n {\n \"question_id\": \"84214\",\n \"answer\": \"North Carolina\"\n },\n {\n \"question_id\": \"84215\",\n \"answer\": \"Republican\"\n },\n {\n \"question_id\": \"84216\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84217\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"84218\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84219\",\n \"answer\": \"spending money without a debate and strategy\"\n },\n {\n \"question_id\": \"84220\",\n \"answer\": \"James McGovern\"\n },\n {\n \"question_id\": \"84221\",\n \"answer\": \"Massachusetts\"\n },\n {\n \"question_id\": \"84222\",\n \"answer\": \"Democrat\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 scope and legality of the government's warrantless electronic surveillance programs was discussed Tuesday as a federal appeals court reviewed a lower U.S. court's injunction that would block collection of data from two plaintiffs who are suing \n\nActivist Larry Klayman, an attorney who heads the group \"Freedom Watch,\" filed suit last year based on published reports of wrongdoing from whistleblower Edward Snowden. The former contractor with the National Security Agency accused authorities of misusing some of the capabilities he observed, and acting without a judicial or statutory basis. \n\nKlayman, using himself as an aggrieved party from the surveillance, used the lawsuit to accuse the government of conducting \"a secret and illegal government scheme to intercept and analyze vast quantities of domestic telephonic communications,\" along with communications \"from the internet and electronic service providers.\" \n\nTuesday he said he has the standing to bring the suit as a customer of Verizon, one of the companies known to be cooperating with warrantless surveillance. But when the appeals panel asked him for documented proof he had been targeted, Klayman said only that the broad scope of the surveillance made it likely. \n\nThe other plaintiff is Charles Strange, whose son Michael was an NSA cryptologist and Navy SEAL in Afghanistan in 2011 when he was killed in the downing of his helicopter by insurgents. The father told reporters he has been the target of secret intelligence gathering because he's been asking questions about the circumstances surrounding his son's death. \n\nBoth men late last year won a preliminary injunction that would have barred the government from collecting data on them, and it ordered authorities to destroy any data already gathered. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41684\": \"who is the other plaintiff?\"\n },\n {\n \"41685\": \"who's father is he?\"\n },\n {\n \"41686\": \"What did Michael do?\"\n },\n {\n \"41687\": \"where was he working?\"\n },\n {\n \"41688\": \"what happened to him?\"\n },\n {\n \"41689\": \"what year>?\"\n },\n {\n \"41690\": \"why was his father a target of secret intelligence work?\"\n },\n {\n \"41691\": \"what was being discussed on Tuesday\"\n },\n {\n \"41692\": \"where ?\"\n },\n {\n \"41693\": \"what are they reviewing?\"\n },\n {\n \"41694\": \"that did what?\"\n },\n {\n \"41695\": \"who is one of the plaintiffs\"\n },\n {\n \"41696\": \"what does he do?\"\n },\n {\n \"41697\": \"anything else?\"\n },\n {\n \"41698\": \"what group does he head?\"\n },\n {\n \"41699\": \"what is his lawsuit based on?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41684\",\n \"answer\": \"Charles Strange\"\n },\n {\n \"question_id\": \"41685\",\n \"answer\": \"Michael's\"\n },\n {\n \"question_id\": \"41686\",\n \"answer\": \"he was an NSA cryptologist and Navy SEAL\"\n },\n {\n \"question_id\": \"41687\",\n \"answer\": \"in Afghanistan\"\n },\n {\n \"question_id\": \"41688\",\n \"answer\": \"he was killed in the downing of his helicopter\"\n },\n {\n \"question_id\": \"41689\",\n \"answer\": \"in 2011\"\n },\n {\n \"question_id\": \"41690\",\n \"answer\": \"he's been asking questions about the circumstances surrounding his son's death.\"\n },\n {\n \"question_id\": \"41691\",\n \"answer\": \"The scope and legality of the government's warrantless electronic surveillance programs\"\n },\n {\n \"question_id\": \"41692\",\n \"answer\": \"a federal appeals court\"\n },\n {\n \"question_id\": \"41693\",\n \"answer\": \"a lower U.S. court's injunction\"\n },\n {\n \"question_id\": \"41694\",\n \"answer\": \"would block collection of data from two plaintiffs who are suing\"\n },\n {\n \"question_id\": \"41695\",\n \"answer\": \"Larry Klayman\"\n },\n {\n \"question_id\": \"41696\",\n \"answer\": \"he's an attorney\"\n },\n {\n \"question_id\": \"41697\",\n \"answer\": \"a former contractor with the National Security Agency\"\n },\n {\n \"question_id\": \"41698\",\n \"answer\": \"\\\"Freedom Watch\\\"\"\n },\n {\n \"question_id\": \"41699\",\n \"answer\": \"published reports of wrongdoing from whistleblower Edward Snowden\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Anglo-Saxons were a people who inhabited Great Britain from the 5th century. They comprise people from Germanic tribes who migrated to the island from continental Europe, their descendants, and indigenous British groups who adopted some aspects of Anglo-Saxon culture and language. Historically, the Anglo-Saxon period denotes the period in Britain between about 450 and 1066, after their initial settlement and up until the Norman conquest. \n\nThe early Anglo-Saxon period includes the creation of an English nation, with many of the aspects that survive today, including regional government of shires and hundreds. During this period, Christianity was established and there was a flowering of literature and language. Charters and law were also established. The term \"Anglo-Saxon\" is popularly used for the language that was spoken and written by the Anglo-Saxons in England and eastern Scotland between at least the mid-5th century and the mid-12th century. In scholarly use, it is more commonly called Old English. \n\nThe history of the Anglo-Saxons is the history of a cultural identity. It developed from divergent groups in association with the people's adoption of Christianity, and was integral to the establishment of various kingdoms. Threatened by extended Danish invasions and military occupation of eastern England, this identity was re-established; it dominated until after the Norman Conquest. The visible Anglo-Saxon culture can be seen in the material culture of buildings, dress styles, illuminated texts and grave goods. Behind the symbolic nature of these cultural emblems, there are strong elements of tribal and lordship ties. The elite declared themselves as kings who developed \"burhs\", and identified their roles and peoples in Biblical terms. Above all, as Helena Hamerow has observed, \"local and extended kin groups remained...the essential unit of production throughout the Anglo-Saxon period.\" The effects persist in the 21st century as, according to a study published in March 2015, the genetic make up of British populations today shows divisions of the tribal political units of the early Anglo-Saxon period.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83479\": \"who were the anglo-saxons?\"\n },\n {\n \"83480\": \"around what century?\"\n },\n {\n \"83481\": \"how is their language commonly referred to?\"\n },\n {\n \"83482\": \"what is it more commonly called?\"\n },\n {\n \"83483\": \"do anglo-saxons come from one group?\"\n },\n {\n \"83484\": \"roughly what year does the anglo-saxon period begin?\"\n },\n {\n \"83485\": \"up until what point?\"\n },\n {\n \"83486\": \"does that include after the Norman conquest?\"\n },\n {\n \"83487\": \"who were they threatened by from extended invasions?\"\n },\n {\n \"83488\": \"what did the elites declare themselves?\"\n },\n {\n \"83489\": \"what did Helena Hamerow observe?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83479\",\n \"answer\": \"inhabited Great Britain\"\n },\n {\n \"question_id\": \"83480\",\n \"answer\": \"5th century\"\n },\n {\n \"question_id\": \"83481\",\n \"answer\": \"Anglo-Saxon\"\n },\n {\n \"question_id\": \"83482\",\n \"answer\": \"Old English\"\n },\n {\n \"question_id\": \"83483\",\n \"answer\": \"yes mainly from Germanic tribes\"\n },\n {\n \"question_id\": \"83484\",\n \"answer\": \"in Britain between about 450 and 106\"\n },\n {\n \"question_id\": \"83485\",\n \"answer\": \"1066\"\n },\n {\n \"question_id\": \"83486\",\n \"answer\": \"no up untl\"\n },\n {\n \"question_id\": \"83487\",\n \"answer\": \"Anglo-Saxons\"\n },\n {\n \"question_id\": \"83488\",\n \"answer\": \"kings\"\n },\n {\n \"question_id\": \"83489\",\n \"answer\": \"kin groups remained...the essential unit\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 I was young,I liked to play jokes on people I knew, especially on my parents and friends. One day my mother was cooking and I was playing with my younger brother Tony. Suddenly I ran to my mother and said: \"Tony fell from the open window!\" She was very worried and ran out of the kitchen. Then I said: \"Don't worry, I'm just joking.\" My mother shouted at me, \"If you do it again, I'll hit you.\" Another day I went swimming with my friends in the sea. I wanted to play a joke on them. In the beginning I swam fast and I called out \"Help!\". All my friends came to help me. However, they found that I was joking. But half an hour later I wasn't joking. I was so fast, soon I got tired and couldn't swim on in water. I tried my best to call my friends for help, but this time nobody came to help me. In the end they found I was telling the truth. They came and saved my life. They took me to the hospital. This is the best lesson in my life. From then on I haven't joked on anyone.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17848\": \"Does this person consider themself to be a joker?\"\n },\n {\n \"17849\": \"Was it because of a traumatic experience?\"\n },\n {\n \"17850\": \"What happened?\"\n },\n {\n \"17851\": \"Did he call for help?\"\n },\n {\n \"17852\": \"Who did he call to?\"\n },\n {\n \"17853\": \"Could they hear him?\"\n },\n {\n \"17854\": \"Why didn't they come?\"\n },\n {\n \"17855\": \"Why?\"\n },\n {\n \"17856\": \"Did he call for help when he didn't need it?\"\n },\n {\n \"17857\": \"Where were they swimming?\"\n },\n {\n \"17858\": \"Did they wind up saving his life?\"\n },\n {\n \"17859\": \"How?\"\n },\n {\n \"17860\": \"Who else did he play jokes on?\"\n },\n {\n \"17861\": \"How did he joke with her?\"\n },\n {\n \"17862\": \"Was that a lie?\"\n },\n {\n \"17863\": \"How did his mother respond?\"\n },\n {\n \"17864\": \"What did she say?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17848\",\n \"answer\": \"not any more\"\n },\n {\n \"question_id\": \"17849\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17850\",\n \"answer\": \"couldn't swim\"\n },\n {\n \"question_id\": \"17851\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17852\",\n \"answer\": \"his friends\"\n },\n {\n \"question_id\": \"17853\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"17854\",\n \"answer\": \"thought he was joking\"\n },\n {\n \"question_id\": \"17855\",\n \"answer\": \"he always played jokes\"\n },\n {\n \"question_id\": \"17856\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17857\",\n \"answer\": \"in the sea\"\n },\n {\n \"question_id\": \"17858\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17859\",\n \"answer\": \"They took him to the hospital\"\n },\n {\n \"question_id\": \"17860\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"17861\",\n \"answer\": \"told her that his brother fell from the open window\"\n },\n {\n \"question_id\": \"17862\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17863\",\n \"answer\": \"shouted at him\"\n },\n {\n \"question_id\": \"17864\",\n \"answer\": \"\\\"If you do it again, I'll hit you.\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nALECK BRINGS NEWS \n\n\"I reckon we got square,\" was Tom's comment, after the fun was over and they were on their way to the farm. \"My, but wasn't that circus owner mad!\" \n\n\"I don't think he'll have another such crowd to-night,\" said Fred, and he was right. The evening performance was attended by less than a hundred people, and a week later the show failed and was sold out completely. \n\nBy the end of the week word was received from both the Stanhopes and the Lanings that all would be glad to join the Rovers in their houseboat vacation. They would take a train for Pittsburg direct on the following Wednesday morning and would there await their friends. \n\n\"This suits me to a T!\" cried Dick, after reading the communication Dora had sent him. \"If we don't have the best time ever then it will be our own fault.\" \n\n\"Just what I say,\" answered Sam, who had received a long letter from Grace. \n\nThere were many articles to pack and ship to Pittsburg. The boys also made out a long list of the things to be purchased for the trip, and in this their father and their aunt helped them. \n\nSunday passed quietly, all of the boys attending both church and Sunday school. It was a hard matter for Tom to keep still on the Sabbath day, but he did so, much to his aunt's comfort. \n\nAleck Pop was highly delighted to think that he was to be taken along, especially as cook. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92578\": \"Where were the boys heading?\"\n },\n {\n \"92579\": \"coming from where?\"\n },\n {\n \"92580\": \"Did the circus continue to be popular?\"\n },\n {\n \"92581\": \"What kind of vacation were the Rovers planning?\"\n },\n {\n \"92582\": \"where would it begin?\"\n },\n {\n \"92583\": \"Were they going alone?\"\n },\n {\n \"92584\": \"Who was coming with them?\"\n },\n {\n \"92585\": \"How would the Rovers get to Pittsburg?\"\n },\n {\n \"92586\": \"when?\"\n },\n {\n \"92587\": \"Who had received a letter from Dora?\"\n },\n {\n \"92588\": \"Did anyone else receive a letter?\"\n },\n {\n \"92589\": \"Who?\"\n },\n {\n \"92590\": \"Who was it from?\"\n },\n {\n \"92591\": \"Is there anyone else they would take with them?\"\n },\n {\n \"92592\": \"Who?\"\n },\n {\n \"92593\": \"What would his job be?\"\n },\n {\n \"92594\": \"How did he feel about that?\"\n },\n {\n \"92595\": \"What did the boys do on Sunday?\"\n },\n {\n \"92596\": \"Was Tom active on Sundays?\"\n },\n {\n \"92597\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92578\",\n \"answer\": \"to the farm\"\n },\n {\n \"question_id\": \"92579\",\n \"answer\": \"the circus\"\n },\n {\n \"question_id\": \"92580\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92581\",\n \"answer\": \"a houseboat vacation\"\n },\n {\n \"question_id\": \"92582\",\n \"answer\": \"Pittsburg\"\n },\n {\n \"question_id\": \"92583\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92584\",\n \"answer\": \"the Stanhopes and the Lanings\"\n },\n {\n \"question_id\": \"92585\",\n \"answer\": \"by train\"\n },\n {\n \"question_id\": \"92586\",\n \"answer\": \"on the following Wednesday morning\"\n },\n {\n \"question_id\": \"92587\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"92588\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92589\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"92590\",\n \"answer\": \"Grace\"\n },\n {\n \"question_id\": \"92591\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92592\",\n \"answer\": \"Aleck Pop\"\n },\n {\n \"question_id\": \"92593\",\n \"answer\": \"cook\"\n },\n {\n \"question_id\": \"92594\",\n \"answer\": \"he was highly delighted\"\n },\n {\n \"question_id\": \"92595\",\n \"answer\": \"the boys went to church and Sunday school\"\n },\n {\n \"question_id\": \"92596\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92597\",\n \"answer\": \"to please his aunt\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 do you study? Many students would simply reply: \"To get good result in the college entrance examination .\" For several years, many have spoken out against the exams. Some say they have turned children into studying machines. Others think that one exam cannot possibly _ a student's true level of knowledge. So, should the exams be canceled? Minister of Education Yuan Guiren doesn't think so. \"Officials and the rich might take advantage if the college entrance examination were called off . And life would be more difficult for poor children. However, we do need to change the exams,\" Yuan said on March 7. He has put an exam reforms at the center of his fourth year in office. \"I think the exam is a fair way to choose talented people. But it should pay more attention to all-around personal qualities, not just grades,\" said Cui Shangyu, a Senior 3 student in Sichuan. The college entrance examination was restored in 1977. From then to 2007, 46.85 million people have entered higher education through the exam. According to survey by the Ministry of Education, 90 percent of people who participate believed the college entrance examination could in some way change a person's life, especially for poor students in the countryside. The college entrance examination is not the only way to become a successful person. However, the process of preparing for the exam is a good experience, said Shen Hui, a Math teacher at Gaoyou Middle School in Jiangsu. \"Through it students can learn many things, such as how to deal with stress and how to arrange a learning plan.\" Shen said.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55725\": \"What do many people dislike?\"\n },\n {\n \"55726\": \"Why?\"\n },\n {\n \"55727\": \"What's another reason?\"\n },\n {\n \"55728\": \"What do students think studying is for?\"\n },\n {\n \"55729\": \"What might happen if they cancel it?\"\n },\n {\n \"55730\": \"Who would be hurt?\"\n },\n {\n \"55731\": \"When was the exam restored?\"\n },\n {\n \"55732\": \"What does Shen Hui think is a good experience?\"\n },\n {\n \"55733\": \"What is his job?\"\n },\n {\n \"55734\": \"What does he teach?\"\n },\n {\n \"55735\": \"At what school?\"\n },\n {\n \"55736\": \"Where is that?\"\n },\n {\n \"55737\": \"What does Yuan think about the exams?\"\n },\n {\n \"55738\": \"What is his job?\"\n },\n {\n \"55739\": \"How many years has he done that?\"\n },\n {\n \"55740\": \"What is his focus?\"\n },\n {\n \"55741\": \"How many people used the exams to get into college?\"\n },\n {\n \"55742\": \"Who believes they change someone's life?\"\n },\n {\n \"55743\": \"Who did a survey on it?\"\n },\n {\n \"55744\": \"Who is Cui Shangyu?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55725\",\n \"answer\": \"the exams\"\n },\n {\n \"question_id\": \"55726\",\n \"answer\": \"children become studying machines\"\n },\n {\n \"question_id\": \"55727\",\n \"answer\": \"the exams don't test true level of knowledge\"\n },\n {\n \"question_id\": \"55728\",\n \"answer\": \"to get a good result on the exam\"\n },\n {\n \"question_id\": \"55729\",\n \"answer\": \"some might take advantage\"\n },\n {\n \"question_id\": \"55730\",\n \"answer\": \"poor children\"\n },\n {\n \"question_id\": \"55731\",\n \"answer\": \"1977\"\n },\n {\n \"question_id\": \"55732\",\n \"answer\": \"a good experience\"\n },\n {\n \"question_id\": \"55733\",\n \"answer\": \"he's a teacher\"\n },\n {\n \"question_id\": \"55734\",\n \"answer\": \"Math\"\n },\n {\n \"question_id\": \"55735\",\n \"answer\": \"Gaoyou Middle School\"\n },\n {\n \"question_id\": \"55736\",\n \"answer\": \"in Jiangsu\"\n },\n {\n \"question_id\": \"55737\",\n \"answer\": \"they need changed\"\n },\n {\n \"question_id\": \"55738\",\n \"answer\": \"Minister of Education\"\n },\n {\n \"question_id\": \"55739\",\n \"answer\": \"4 years\"\n },\n {\n \"question_id\": \"55740\",\n \"answer\": \"reforming exams\"\n },\n {\n \"question_id\": \"55741\",\n \"answer\": \"46.85 million\"\n },\n {\n \"question_id\": \"55742\",\n \"answer\": \"90 percent of participants\"\n },\n {\n \"question_id\": \"55743\",\n \"answer\": \"the Ministry of Education\"\n },\n {\n \"question_id\": \"55744\",\n \"answer\": \"a student\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 cappella [a kapˈpɛlla] (Italian for \"in the manner of the chapel\") music is specifically group or solo singing without instrumental accompaniment, or a piece intended to be performed in this way. It contrasts with cantata, which is accompanied singing. The term \"a cappella\" was originally intended to differentiate between Renaissance polyphony and Baroque concertato style. In the 19th century a renewed interest in Renaissance polyphony coupled with an ignorance of the fact that vocal parts were often doubled by instrumentalists led to the term coming to mean unaccompanied vocal music. The term is also used, albeit rarely, as a synonym for alla breve. \n\nA cappella music was originally used in religious music, especially church music as well as anasheed and zemirot. Gregorian chant is an example of a cappella singing, as is the majority of secular vocal music from the Renaissance. The madrigal, up until its development in the early Baroque into an instrumentally-accompanied form, is also usually in a cappella form. Jewish and Christian music were originally a cappella,[citation needed] and this practice has continued in both of these religions as well as in Islam.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54584\": \"What is Gregorian chant an example of?\"\n },\n {\n \"54585\": \"What does that mean?\"\n },\n {\n \"54586\": \"What does it mean in Italian?\"\n },\n {\n \"54587\": \"Is the madrigal a cappella?\"\n },\n {\n \"54588\": \"When did someone add instruments?\"\n },\n {\n \"54589\": \"Was most music from the Renaissance a cappella?\"\n },\n {\n \"54590\": \"Do religions use it?\"\n },\n {\n \"54591\": \"How many?\"\n },\n {\n \"54592\": \"Which ones?\"\n },\n {\n \"54593\": \"Is there another one?\"\n },\n {\n \"54594\": \"Is it used as a synonym?\"\n },\n {\n \"54595\": \"What is a synonym for alla breve?\"\n },\n {\n \"54596\": \"How often is it used that way?\"\n },\n {\n \"54597\": \"What is accompanied singing called?\"\n },\n {\n \"54598\": \"Did a cappella always mean unaccompanied singing?\"\n },\n {\n \"54599\": \"Did it have something to do with Polyphony?\"\n },\n {\n \"54600\": \"what kind?\"\n },\n {\n \"54601\": \"Is this different from Baroque concertato\"\n },\n {\n \"54602\": \"When did a cappella get it's current meaning?\"\n },\n {\n \"54603\": \"Was this due to some kind of ignorance?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54584\",\n \"answer\": \"of a cappella singing,\"\n },\n {\n \"question_id\": \"54585\",\n \"answer\": \"singing without instrumental accompaniment,\"\n },\n {\n \"question_id\": \"54586\",\n \"answer\": \"\\\"in the manner of the chapel\\\"\"\n },\n {\n \"question_id\": \"54587\",\n \"answer\": \"Usually\"\n },\n {\n \"question_id\": \"54588\",\n \"answer\": \"in the early Baroque\"\n },\n {\n \"question_id\": \"54589\",\n \"answer\": \"the majority of secular vocal music was\"\n },\n {\n \"question_id\": \"54590\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54591\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"54592\",\n \"answer\": \"Jewish and Christian\"\n },\n {\n \"question_id\": \"54593\",\n \"answer\": \"Islam\"\n },\n {\n \"question_id\": \"54594\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"54595\",\n \"answer\": \"A cappella\"\n },\n {\n \"question_id\": \"54596\",\n \"answer\": \"rarely\"\n },\n {\n \"question_id\": \"54597\",\n \"answer\": \"cantata\"\n },\n {\n \"question_id\": \"54598\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54599\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"54600\",\n \"answer\": \"Renaissance\"\n },\n {\n \"question_id\": \"54601\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54602\",\n \"answer\": \"In the 19th century\"\n },\n {\n \"question_id\": \"54603\",\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 XLI \n\nTHE COLONEL SPEAKS \n\nWrayson glanced at the clock for the twentieth time. \n\n\"I am afraid,\" he said gravely, \"that Mr. Sydney Barnes has been one too many for us.\" \n\n\"Do you think,\" Louise asked, \"that he has persuaded the girl to give him the packet?\" \n\n\"It looks like it,\" Wrayson confessed. \n\nLouise frowned. \n\n\"Of course,\" she said, \"I think that you were mad to let her go before. She had the letters here in the room. You would have been perfectly justified in taking them from her.\" \n\n\"I suppose so,\" Wrayson assented, doubtfully. \"Somehow she seemed to get the upper hand of us towards the end. I think she suspected that some of us knew more than we cared to tell her about--her husband's death.\" \n\nLouise shivered a little and remained silent. Wrayson walked to the window and back. \n\n\"To tell you the truth,\" he said, \"I expected some one else here to-night who has failed to turn up.\" \n\n\"Who is that?\" the Baroness asked. \n\nWrayson hesitated for a moment and glanced towards Louise. \n\n\"Colonel Fitzmaurice,\" he said. \n\nLouise seemed to turn suddenly rigid. She looked at him steadfastly for a moment without speaking. \n\n\"My father,\" she murmured at last. \n\nWrayson nodded. \n\n\"Yes!\" he said. \n\n\"But--what has he to do with this?\" Louise asked, with her eyes fixed anxiously, almost fearfully, upon his. \n\n\"I went to him for advice,\" Wrayson said quietly. \"He has been always very kind, and I thought it possible that he might be able to help us. He promised to be here at the same hour as the others. Listen! There is the bell at last.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98059\": \"Who is checking the time?\"\n },\n {\n \"98060\": \"Who is he with?\"\n },\n {\n \"98061\": \"Who is he waiting for?\"\n },\n {\n \"98062\": \"Is that person related to Louisa?\"\n },\n {\n \"98063\": \"How?\"\n },\n {\n \"98064\": \"Who else is mentioned?\"\n },\n {\n \"98065\": \"What do they think he has done?\"\n },\n {\n \"98066\": \"To do what?\"\n },\n {\n \"98067\": \"What was in it?\"\n },\n {\n \"98068\": \"Where had they been kept?\"\n },\n {\n \"98069\": \"What did the girl think?\"\n },\n {\n \"98070\": \"About what?\"\n },\n {\n \"98071\": \"Why was there visitor invited?\"\n },\n {\n \"98072\": \"When was he supposed to come?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98059\",\n \"answer\": \"Wrayson\"\n },\n {\n \"question_id\": \"98060\",\n \"answer\": \"Louise\"\n },\n {\n \"question_id\": \"98061\",\n \"answer\": \"Colonel Fitzmaurice\"\n },\n {\n \"question_id\": \"98062\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98063\",\n \"answer\": \"her father\"\n },\n {\n \"question_id\": \"98064\",\n \"answer\": \"Mr. Sydney Barnes\"\n },\n {\n \"question_id\": \"98065\",\n \"answer\": \"persuaded the girl\"\n },\n {\n \"question_id\": \"98066\",\n \"answer\": \"to give him the packet\"\n },\n {\n \"question_id\": \"98067\",\n \"answer\": \"letters\"\n },\n {\n \"question_id\": \"98068\",\n \"answer\": \"in the room\"\n },\n {\n \"question_id\": \"98069\",\n \"answer\": \"they knew more\"\n },\n {\n \"question_id\": \"98070\",\n \"answer\": \"her husband's death.\"\n },\n {\n \"question_id\": \"98071\",\n \"answer\": \"for advice\"\n },\n {\n \"question_id\": \"98072\",\n \"answer\": \"at the same hour as the others\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In a quiet house there was a dog named Bentley. Bentley was a little brown puppy and he was always getting into trouble. One day Bentley got outside and walked down the street. He found a trash can and started to dig through it. A cat came also to see what Bentley was doing. \"Excuse me, but what are you looking for?\" asked the cat. \"Well, nothing important,\" Bentley told the cat. \"I wanted to see if there was anything cool in there.\" The cat told Bentley that his name was Felix and asked if he could dig through the trash too. \"Sure thing\" Bentley told the cat. The two of them started to dig through the trash again. After a little bit the pair got bored and started to walk down the street going away from Bentley's house. They walked to a river and went to the edge of the water. They saw they were dirty because they had been digging in the trash so they went into the water to wash themselves. When they were clean they went back to Bentley's house. Inside the house they got water on everything because they were still wet. Bentley's human's came home and were very upset that their house was now very wet.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81274\": \"What is the name of the dog?\"\n },\n {\n \"81275\": \"what color is he?\"\n },\n {\n \"81276\": \"did the cat ask Bentley something?\"\n },\n {\n \"81277\": \"and what was the name of the cat\"\n },\n {\n \"81278\": \"did they dig through the trash together?\"\n },\n {\n \"81279\": \"where did they walk to after\"\n },\n {\n \"81280\": \"and after that?\"\n },\n {\n \"81281\": \"were they dirty?\"\n },\n {\n \"81282\": \"where did they wash themselves?\"\n },\n {\n \"81283\": \"did they get clean?\"\n },\n {\n \"81284\": \"where did they go next?\"\n },\n {\n \"81285\": \"were they still wet?\"\n },\n {\n \"81286\": \"how did this make their human feel?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81274\",\n \"answer\": \"Bentley\"\n },\n {\n \"question_id\": \"81275\",\n \"answer\": \"brown\"\n },\n {\n \"question_id\": \"81276\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81277\",\n \"answer\": \"Felix\"\n },\n {\n \"question_id\": \"81278\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81279\",\n \"answer\": \"down the street\"\n },\n {\n \"question_id\": \"81280\",\n \"answer\": \"to the river\"\n },\n {\n \"question_id\": \"81281\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81282\",\n \"answer\": \"in the water\"\n },\n {\n \"question_id\": \"81283\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81284\",\n \"answer\": \"Bentley's house\"\n },\n {\n \"question_id\": \"81285\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"81286\",\n \"answer\": \"upset\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 biome is a community of plants and animals that have common characteristics for the environment they exist in. They can be found over a range of continents. Biomes are distinct biological communities that have formed in response to a shared physical climate. \"Biome\" is a broader term than \"habitat\"; any biome can comprise a variety of habitats. \n\nWhile a biome can cover large areas, a microbiome is a mix of organisms that coexist in a defined space on a much smaller scale. For example, the human microbiome is the collection of bacteria, viruses, and other microorganisms that are present on a human body. \n\nA 'biota' is the total collection of organisms of a geographic region or a time period, from local geographic scales and instantaneous temporal scales all the way up to whole-planet and whole-timescale spatiotemporal scales. The biotas of the Earth make up the biosphere. \n\nThe term was suggested in 1916 by Clements, originally as a synonym for biotic community of Möbius (1877). Later, it gained its current definition, based on earlier concepts of phytophysiognomy, formation and vegetation (used in opposition to flora), with the inclusion of the animal element and the exclusion of the taxonomic element of species composition. In 1935, Tansley added the climatic and soil aspects to the idea, calling it ecosystem. The International Biological Program (1964–74) projects popularized the concept of biome.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73776\": \"What's the topic at hand?\"\n },\n {\n \"73777\": \"Are the large or small?\"\n },\n {\n \"73778\": \"When was the term coined?\"\n },\n {\n \"73779\": \"By?\"\n },\n {\n \"73780\": \"What name did it get in 1935?\"\n },\n {\n \"73781\": \"Who named it?\"\n },\n {\n \"73782\": \"What was one thing he added to the idea?\"\n },\n {\n \"73783\": \"Name another?\"\n },\n {\n \"73784\": \"What is related to 1877?\"\n },\n {\n \"73785\": \"What has the same meaning as it?\"\n },\n {\n \"73786\": \"What projects were going on in the mid 60s to early 70s?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73776\",\n \"answer\": \"biomes\"\n },\n {\n \"question_id\": \"73777\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73778\",\n \"answer\": \"in 1916\"\n },\n {\n \"question_id\": \"73779\",\n \"answer\": \"Clements\"\n },\n {\n \"question_id\": \"73780\",\n \"answer\": \"ecosystem\"\n },\n {\n \"question_id\": \"73781\",\n \"answer\": \"Tansley\"\n },\n {\n \"question_id\": \"73782\",\n \"answer\": \"added two ,climatic and soil aspects to the idea\"\n },\n {\n \"question_id\": \"73783\",\n \"answer\": \"soil aspects\"\n },\n {\n \"question_id\": \"73784\",\n \"answer\": \"A 'biota'\"\n },\n {\n \"question_id\": \"73785\",\n \"answer\": \"concepts of phytophysiognomy, formation and vegetation (used in opposition to flora),\"\n },\n {\n \"question_id\": \"73786\",\n \"answer\": \"The International Biological Program\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II \n\nNEWCOMERS AT THE ACADEMY \n\n\"Dan Baxter has escaped!\" repeated Dick. \"That is news indeed. Does your father give my particulars?\" \n\n\"He says it is reported that the jailer was sick and unable to stop Dan.\" \n\n\"Humph! Then they must have had some sort of a row,\" put in Tom. \"Well, it does beat the nation how the Baxters do it. Don't you remember how Arnold Baxter escaped from the hospital authorities last year?\" \n\n\"Those Baxters are as slick as you can make them,\" said Frank. \"I've been thinking if Dan would dare to show himself around Putnam Hall.\" \n\n\"Not he!\" cried Larry. \"He'll travel as far can and as fast as he can.\" \n\n\"Perhaps not,\" mused Dick. \"I rather he will hang around and try to help his father out of prison.\" \n\n\"That won't help him, for the authorities will be on strict guard now. You know the stable door is always locked after the horse is stolen.\" \n\nAt this there was a general laugh, and when it ended a loud roll of a drum made the young cadets hurry to the front of the parade ground. \n\n\"Fall in, Companies A and B!\" came the command from the major of the battalion, and the boys fell in. Dick was now a first lieutenant, while Tom and Sam were first and second sergeants respectively. \n\nAs soon as the companies were formed they were marched around the Hall and to the messroom. Here they were kept standing in a long fine while George Strong came to the front with half a dozen new pupils. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78364\": \"Did someone flee?\"\n },\n {\n \"78365\": \"Who was that?\"\n },\n {\n \"78366\": \"Who was the informant?\"\n },\n {\n \"78367\": \"Did the warden try to stop?\"\n },\n {\n \"78368\": \"What was Frank's impression of the escapee?\"\n },\n {\n \"78369\": \"Why Dan would try to be around?\"\n },\n {\n \"78370\": \"Is his father also imprisoned?\"\n },\n {\n \"78371\": \"Did they think he will attempt to release him?\"\n },\n {\n \"78372\": \"Did they think the bosses will be alert?\"\n },\n {\n \"78373\": \"Were they amused about the situation?\"\n },\n {\n \"78374\": \"What is Dicks rank now?\"\n },\n {\n \"78375\": \"What about other two?\"\n },\n {\n \"78376\": \"How many military companies are there?\"\n },\n {\n \"78377\": \"Do they have any designation?\"\n },\n {\n \"78378\": \"What are their companies called?\"\n },\n {\n \"78379\": \"Who would be ahead of them?\"\n },\n {\n \"78380\": \"Are they doing any drills?\"\n },\n {\n \"78381\": \"Then where are they?\"\n },\n {\n \"78382\": \"Are they just stationed there?\"\n },\n {\n \"78383\": \"What are they doing then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"78364\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78365\",\n \"answer\": \"Dan Baxter\"\n },\n {\n \"question_id\": \"78366\",\n \"answer\": \"Dick.\"\n },\n {\n \"question_id\": \"78367\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78368\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78369\",\n \"answer\": \"He'll travel as far can and as fast as he can.\\\"\"\n },\n {\n \"question_id\": \"78370\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78371\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78372\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78373\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78374\",\n \"answer\": \"Dick was now a first lieutenant\"\n },\n {\n \"question_id\": \"78375\",\n \"answer\": \"first and second sergeants\"\n },\n {\n \"question_id\": \"78376\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"78377\",\n \"answer\": \"cadets\"\n },\n {\n \"question_id\": \"78378\",\n \"answer\": \"A and B\"\n },\n {\n \"question_id\": \"78379\",\n \"answer\": \"Dick, Tom, and Sam\"\n },\n {\n \"question_id\": \"78380\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78381\",\n \"answer\": \"Hall and to the messroom\"\n },\n {\n \"question_id\": \"78382\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78383\",\n \"answer\": \"a parade\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 movement was pioneered by Georges Braque and Pablo Picasso, joined by Jean Metzinger, Albert Gleizes, Robert Delaunay, Henri Le Fauconnier, Fernand Léger and Juan Gris. A primary influence that led to Cubism was the representation of three-dimensional form in the late works of Paul Cézanne. A retrospective of Cézanne's paintings had been held at the Salon d'Automne of 1904, current works were displayed at the 1905 and 1906 Salon d'Automne, followed by two commemorative retrospectives after his death in 1907. \n\nIn France, offshoots of Cubism developed, including Orphism, Abstract art and later Purism. In other countries Futurism, Suprematism, Dada, Constructivism and De Stijl developed in response to Cubism. Early Futurist paintings hold in common with Cubism the fusing of the past and the present, the representation of different views of the subject pictured at the same time, also called multiple perspective, simultaneity or multiplicity, while Constructivism was influenced by Picasso's technique of constructing sculpture from separate elements. Other common threads between these disparate movements include the faceting or simplification of geometric forms, and the association of mechanization and modern life.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50948\": \"What is the art movement the article is discussing?\"\n },\n {\n \"50949\": \"Who started it?\"\n },\n {\n \"50950\": \"Which artist was a major influence on them?\"\n },\n {\n \"50951\": \"His early paintings?\"\n },\n {\n \"50952\": \"What led to them seeing his art?\"\n },\n {\n \"50953\": \"Where at?\"\n },\n {\n \"50954\": \"When did this occur?\"\n },\n {\n \"50955\": \"Were those mostly his later works?\"\n },\n {\n \"50956\": \"When were those first seen?\"\n },\n {\n \"50957\": \"What style did Cezanne incorporate that was so influential?\"\n },\n {\n \"50958\": \"Did other artists besides Picasso and Braque jump on board?\"\n },\n {\n \"50959\": \"How was constructivism influenced by Picasso?\"\n },\n {\n \"50960\": \"Did cubism lead to other art forms?\"\n },\n {\n \"50961\": \"Which developed in France?\"\n },\n {\n \"50962\": \"Did different types of art start up in other countries as well?\"\n },\n {\n \"50963\": \"What were these called?\"\n },\n {\n \"50964\": \"Were all of these related to cubism?\"\n },\n {\n \"50965\": \"What is one thing that futurist paintings get from cubism?\"\n },\n {\n \"50966\": \"What does the term \\\"multiple perspective\\\" mean?\"\n },\n {\n \"50967\": \"Would the association of mechanization and modern life be related to these art forms?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"50948\",\n \"answer\": \"Cubism\"\n },\n {\n \"question_id\": \"50949\",\n \"answer\": \"Georges Braque and Pablo Picasso\"\n },\n {\n \"question_id\": \"50950\",\n \"answer\": \"Paul C\\u00e9zanne\"\n },\n {\n \"question_id\": \"50951\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50952\",\n \"answer\": \"A retrospective of C\\u00e9zanne's paintings had been held\"\n },\n {\n \"question_id\": \"50953\",\n \"answer\": \"the Salon d'Automne\"\n },\n {\n \"question_id\": \"50954\",\n \"answer\": \"1904\"\n },\n {\n \"question_id\": \"50955\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"50956\",\n \"answer\": \"1905 and 1906\"\n },\n {\n \"question_id\": \"50957\",\n \"answer\": \"three-dimensional form\"\n },\n {\n \"question_id\": \"50958\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50959\",\n \"answer\": \"constructing sculpture from separate elements\"\n },\n {\n \"question_id\": \"50960\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50961\",\n \"answer\": \"Orphism, Abstract art and later Purism\"\n },\n {\n \"question_id\": \"50962\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50963\",\n \"answer\": \"Futurism, Suprematism, Dada, Constructivism and De Stijl\"\n },\n {\n \"question_id\": \"50964\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"50965\",\n \"answer\": \"the fusing of the past and the present\"\n },\n {\n \"question_id\": \"50966\",\n \"answer\": \"different views of the subject pictured at the same time\"\n },\n {\n \"question_id\": \"50967\",\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 Duke University is a private research university located in Durham, North Carolina. Founded by Methodists and Quakers in the present-day town of Trinity in 1838, the school moved to Durham in 1892. In 1924, tobacco and electric power industrialist James Buchanan Duke established The Duke Endowment, at which time the institution changed its name to honor his deceased father, Washington Duke. \n\nDuke's campus spans over on three contiguous campuses in Durham as well as a marine lab in Beaufort. The main campus—designed largely by architect Julian Abele—incorporates Gothic architecture with the Duke Chapel at the campus' center and highest point of elevation. The first-year-populated East Campus contains Georgian-style architecture, while the main Gothic-style West Campus away is adjacent to the Medical Center. Duke is the seventh-wealthiest private university in America with $11.4 billion in cash and investments in fiscal year 2014. \n\nDuke's research expenditures in the 2015 fiscal year were $1.037 billion, the seventh largest in the nation. In 2014, Thomson Reuters named 32 of Duke's professors to its list of Highly Cited Researchers, making it fourth globally in terms of primary affiliations. Duke also ranks fifth among national universities to have produced Rhodes, Marshall, Truman, Goldwater, and Udall Scholars. Ten Nobel laureates and three Turing Award winners are affiliated with the university. Duke's sports teams compete in the Atlantic Coast Conference and the basketball team is renowned for having won five NCAA Men's Division I Basketball Championships, most recently in 2015.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95497\": \"Does Duke have a marine laboratory>\"\n },\n {\n \"95498\": \"Where is that?\"\n },\n {\n \"95499\": \"Who designed the main campus?\"\n },\n {\n \"95500\": \"Does it incorporate the Gothic style?\"\n },\n {\n \"95501\": \"What other style is evident?\"\n },\n {\n \"95502\": \"Where can that be found?\"\n },\n {\n \"95503\": \"Is that where most seniors are?\"\n },\n {\n \"95504\": \"What is the tallest part of Duke?\"\n },\n {\n \"95505\": \"Where in the school would I find that?\"\n },\n {\n \"95506\": \"What is next to the West Campus?\"\n },\n {\n \"95507\": \"Is Duke a public college?\"\n },\n {\n \"95508\": \"How much is it worth?\"\n },\n {\n \"95509\": \"How many of its teachers made the list of Highly Cited Researchers?\"\n },\n {\n \"95510\": \"How many schools worldwide had more than that?\"\n },\n {\n \"95511\": \"Is Duke part of the Big Ten conference?\"\n },\n {\n \"95512\": \"Which is it in then?\"\n },\n {\n \"95513\": \"What sport is Duke most known for?\"\n },\n {\n \"95514\": \"When was their last NCAA basketball title?\"\n },\n {\n \"95515\": \"What city is Duke in?\"\n },\n {\n \"95516\": \"Was it formed by Catholics?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95497\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95498\",\n \"answer\": \"Beaufort.\"\n },\n {\n \"question_id\": \"95499\",\n \"answer\": \"Julian Abele\"\n },\n {\n \"question_id\": \"95500\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95501\",\n \"answer\": \"Georgian\"\n },\n {\n \"question_id\": \"95502\",\n \"answer\": \"East Campus\"\n },\n {\n \"question_id\": \"95503\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95504\",\n \"answer\": \"the Duke Chapel\"\n },\n {\n \"question_id\": \"95505\",\n \"answer\": \"the campus' center\"\n },\n {\n \"question_id\": \"95506\",\n \"answer\": \"the Medical Center\"\n },\n {\n \"question_id\": \"95507\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95508\",\n \"answer\": \"$11.4 billion in cash and investments\"\n },\n {\n \"question_id\": \"95509\",\n \"answer\": \"32\"\n },\n {\n \"question_id\": \"95510\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"95511\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95512\",\n \"answer\": \"Atlantic Coast Conference\"\n },\n {\n \"question_id\": \"95513\",\n \"answer\": \"basketball\"\n },\n {\n \"question_id\": \"95514\",\n \"answer\": \"2015.\"\n },\n {\n \"question_id\": \"95515\",\n \"answer\": \"Durham, North Carolina\"\n },\n {\n \"question_id\": \"95516\",\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 When it came to role models, Diana Ortiz said her mother, Marcia Dominguez, was the \"hero\". Ms. Dominguez came to the United States from Cuba in 1979. She went to college and got a job as a social worker --- all the while raising three children in America mostly on her own. \n\n\"It was always school first,\" Diana said, \"My mom had us in a straight line. If we got out of line, she corrected us. She was a perfect woman. She was beautiful, she had the education and she had everything --- but the illness took over. When I was 11, it frightened me to see how quickly my mother's health was ruined by cancer. A week before I turned 14, my mother died at age 50. I had tried to prepare myself, but on the first morning I woke up without my mother, the sense of loss was painful.\" \n\nDiana had not seen her father for five years, who refused to provide for her. Diana then entered the city's foster care system. She has spent about four years in foster homes. \n\nDespite Diana's hard teenage years, the values her mother had planted in her mind inspired her to go after higher education. Since August 2010, she has been a fulltime student majoring in law. A public organization offers her tuition but she has part-time jobs to help people like her and earn more life experience. Her goal is a job in the Federal Bureau of Investigation. \n\nFor now, Diana works 20 hours a week as a cashier at Marshalls, earning $7.25 an hour. In November, she moved into her own public housing studio apartment on the Lower East Side. She pays $236 a month in rent. Although she is out of foster care, Diana has been speaking at workshops for foster youths. She emphasizes that nothing should get in the way of their success, not the trials of their lives or what they may have lost. \n\n\"I tell the young who have the similar experience like me, 'Why are you going to let what happened to you affect you in the long run?' \" Diana said. \" 'Why are you going to sit there and feel sorry for yourself? You're wasting precious time.' It is a message my mother would approve of. My mom taught me that everything is not given to you. You have to go out and get it.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49310\": \"Who died young?\"\n },\n {\n \"49311\": \"How old was she?\"\n },\n {\n \"49312\": \"Where did she come from?\"\n },\n {\n \"49313\": \"What happened to the girl?\"\n },\n {\n \"49314\": \"For how long?\"\n },\n {\n \"49315\": \"Why?\"\n },\n {\n \"49316\": \"When had she last seen him?\"\n },\n {\n \"49317\": \"What is her goal?\"\n },\n {\n \"49318\": \"What does she do for now?\"\n },\n {\n \"49319\": \"Where?\"\n },\n {\n \"49320\": \"Where does she live?\"\n },\n {\n \"49321\": \"Does she have a house?\"\n },\n {\n \"49322\": \"Where?\"\n },\n {\n \"49323\": \"What else does she do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49310\",\n \"answer\": \"Diana's mother\"\n },\n {\n \"question_id\": \"49311\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"49312\",\n \"answer\": \"Cuba\"\n },\n {\n \"question_id\": \"49313\",\n \"answer\": \"she went to foster care\"\n },\n {\n \"question_id\": \"49314\",\n \"answer\": \"four years\"\n },\n {\n \"question_id\": \"49315\",\n \"answer\": \"Her father refused her\"\n },\n {\n \"question_id\": \"49316\",\n \"answer\": \"five years ago\"\n },\n {\n \"question_id\": \"49317\",\n \"answer\": \"work for Federal Bureau of Investigation\"\n },\n {\n \"question_id\": \"49318\",\n \"answer\": \"works as a cashier\"\n },\n {\n \"question_id\": \"49319\",\n \"answer\": \"Marshalls\"\n },\n {\n \"question_id\": \"49320\",\n \"answer\": \"the Lower East Side\"\n },\n {\n \"question_id\": \"49321\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49322\",\n \"answer\": \"an apartment\"\n },\n {\n \"question_id\": \"49323\",\n \"answer\": \"speaks at workshops\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jane Scott is fourteen and the year before last she began to study in a middle school. She likes dancing and singing and spends a lot of time on them. But she hates math and does not work hard at it. She thinks it difficult to learn. She falls behind her classmates and once failed the math exam. She decides to drop it. Her father is angry with her when he knows about it. It was Sunday. Mr Scott gave a call to his sister, who teaches math in another school. He hoped she would come and tell his daughter how to learn math. The woman came quickly and said. \"You're a clever girl, Jane. I'm sure you'll soon do well in math if you work hard at it.\" \"I'm afraid I can't, Aunt,\" said Jane, \"Girls can't be good at math.\" \"I don't think so,\" said the woman. \"I was good at it when was a girl. You must do more exercises and practice a math problem again and again until you master it. Remember: Practice makes perfect. Well, it's a math problem. Think about it and practice it again, and you'll work it out.\" \"OK,\" said the girl, \"Let me try.\" About an hour later, Jane took the exercise book to her aunt and said, \"I've done the problem ten times.\" \"Well done!\" her aunt said happily, \"What result did you get?\" \"Ten answers.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98981\": \"How old is Jane Scott?\"\n },\n {\n \"98982\": \"What does she like to do?\"\n },\n {\n \"98983\": \"Where does she do this?\"\n },\n {\n \"98984\": \"What else does she do there\"\n },\n {\n \"98985\": \"Is she any good at it?\"\n },\n {\n \"98986\": \"Does she really pursue it?\"\n },\n {\n \"98987\": \"What does she do about it?\"\n },\n {\n \"98988\": \"Does anybody react to that?\"\n },\n {\n \"98989\": \"Does he try to help her?\"\n },\n {\n \"98990\": \"How?\"\n },\n {\n \"98991\": \"What does Jane believe?\"\n },\n {\n \"98992\": \"What does her Aunt say about that?\"\n },\n {\n \"98993\": \"What advice does she give her?\"\n },\n {\n \"98994\": \"What will this accomplish?\"\n },\n {\n \"98995\": \"What did Jane do?\"\n },\n {\n \"98996\": \"How?\"\n },\n {\n \"98997\": \"Did it help?\"\n },\n {\n \"98998\": \"How?\"\n },\n {\n \"98999\": \"How did her aunt react?\"\n },\n {\n \"99000\": \"Why did Jane think she wasn't good at math?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98981\",\n \"answer\": \"Fourteen\"\n },\n {\n \"question_id\": \"98982\",\n \"answer\": \"Dancing and Singing\"\n },\n {\n \"question_id\": \"98983\",\n \"answer\": \"In middle school\"\n },\n {\n \"question_id\": \"98984\",\n \"answer\": \"Math\"\n },\n {\n \"question_id\": \"98985\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"98986\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"98987\",\n \"answer\": \"She drops it.\"\n },\n {\n \"question_id\": \"98988\",\n \"answer\": \"Her father\"\n },\n {\n \"question_id\": \"98989\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98990\",\n \"answer\": \"Ask his sister to help her.\"\n },\n {\n \"question_id\": \"98991\",\n \"answer\": \"Girls can't be good at math.\"\n },\n {\n \"question_id\": \"98992\",\n \"answer\": \"She was good in math.\"\n },\n {\n \"question_id\": \"98993\",\n \"answer\": \"You have to exercise and practice.\"\n },\n {\n \"question_id\": \"98994\",\n \"answer\": \"She will get better.\"\n },\n {\n \"question_id\": \"98995\",\n \"answer\": \"She tried.\"\n },\n {\n \"question_id\": \"98996\",\n \"answer\": \"She did the problem ten times.\"\n },\n {\n \"question_id\": \"98997\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98998\",\n \"answer\": \"She got ten answers.\"\n },\n {\n \"question_id\": \"98999\",\n \"answer\": \"She was happy.\"\n },\n {\n \"question_id\": \"99000\",\n \"answer\": \"She failed a math test.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 \"Mad Men\" returned for its seventh season, many viewers tuned in to see what happened next for Don, Peggy, Pete and the other characters of the hit AMC show. Many were eager to see the fabulous clothes the actors wore. \n\nWe can't help but wonder -- was all that glamour real, or is it just the magic of TV? We asked readers to share their snapshots from 1967-69 and show us what the late '60s really looked like. \n\nJanie Lambert, 61, says she thinks \"Mad Men\" portrays the decade's conservative fashion and mod look accurately. But she remembers the late 1960s as more colorful and vibrant. \n\n\"My favorite looks in the '60s were the bright colors and bold patterns, stripes and polka dots, miniskirts, long hair and pale lipstick,\" Lambert says. \n\n'Mad Men' and the other 1960s \n\nMany iReporters strived to keep up with the fast pace of the changing fashion in the late '60s. Patricia Anne Alfano, 66, went from a British-inspired mod style cheerleader to a hippie in a matter of three years. \n\nIn 1967, Alfano was an \"Eaglette\" -- an NFL cheerleader for the Philadelphia Eagles. Unlike today, the cheerleaders were covered from head to toe. The uniforms had long sleeves, and the cheerleaders wore gloves and cloth helmets. \n\n\"From the early 1960s until 1967, I spent tons of time on my hair,\" she says, noting her mod hairdo in the picture is actually a wig. \"Wigs were big back then. Everyone had at least one.\" \n\nIn 1968, the style began to evolve. Alfano still spent a lot of time on her hair, but her peers began heavily criticizing all things materialistic, so the style became more casual. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53475\": \"What channel is Mad Men on?\"\n },\n {\n \"53476\": \"Is it a hit?\"\n },\n {\n \"53477\": \"What season is it?\"\n },\n {\n \"53478\": \"Who are some of the characters?\"\n },\n {\n \"53479\": \"What decade does it portray?\"\n },\n {\n \"53480\": \"What are a lot of people excited to see?\"\n },\n {\n \"53481\": \"How does Janie Lambert remember the late '60s?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53475\",\n \"answer\": \"AMC\"\n },\n {\n \"question_id\": \"53476\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"53477\",\n \"answer\": \"seventh season\"\n },\n {\n \"question_id\": \"53478\",\n \"answer\": \"Don, Peggy, Pete\"\n },\n {\n \"question_id\": \"53479\",\n \"answer\": \"'60s\"\n },\n {\n \"question_id\": \"53480\",\n \"answer\": \"the fabulous clothes .\"\n },\n {\n \"question_id\": \"53481\",\n \"answer\": \"more colorful and vibrant.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVI \n\nNEWS OF RUTH \n\n\"I guess they are pretty sure there is oil on that land,\" chuckled Andy, as the whole party got aboard the automobile and started back for town. \n\n\"I hope they sink about a hundred thousand dollars in that ground and get nothing for their trouble,\" added his twin. \n\n\"Gee, Dad, you certainly did soak Davenport a couple!\" cried Jack admiringly. \n\n\"I did it on the spur of the moment, Son. I couldn't help it,\" declared Dick Rover. \"It was too great an insult to pass unnoticed.\" \n\n\"And to think he didn't have the nerve to fight back!\" added Fred. \"I didn't imagine he was such a coward.\" \n\n\"Well, I was surprised at that myself,\" answered his uncle, with something of a smile. \"But now listen to me, boys,\" he added seriously. \"Don't think because I flew into Davenport that that is the right thing to do under all circumstances. He simply got me going before I knew it. Ordinarily fighting doesn't pay, and I want you to know it.\" \n\n\"But, Uncle Dick, that wasn't a fight--that was only a good spanking,\" said Andy, and at this all the others had to snicker. \n\n\"I reckon Davenport knew he was in the wrong when he made that dirty remark,\" came from Nick Ogilvie. \"Why, in these parts many a man would have shot him down for those words. I don't wonder your father flew into him. He should have been licked until he was a fit subject for the hospital.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1180\": \"are there twins?\"\n },\n {\n \"1181\": \"who didn't fight back?\"\n },\n {\n \"1182\": \"What is their uncle's name\"\n },\n {\n \"1183\": \"where were they headed?\"\n },\n {\n \"1184\": \"how would they get there?\"\n },\n {\n \"1185\": \"What is one of the son's names?\"\n },\n {\n \"1186\": \"were all the boys his sons?\"\n },\n {\n \"1187\": \"Who called Davenport a coward?\"\n },\n {\n \"1188\": \"did Dick plan to fight?\"\n },\n {\n \"1189\": \"Who was his nephew?\"\n },\n {\n \"1190\": \"who else was there?\"\n },\n {\n \"1191\": \"who was Nick?\"\n },\n {\n \"1192\": \"did Nick agree with Dick?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1180\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1181\",\n \"answer\": \"Davenport\"\n },\n {\n \"question_id\": \"1182\",\n \"answer\": \"Uncle Dick\"\n },\n {\n \"question_id\": \"1183\",\n \"answer\": \"back to town\"\n },\n {\n \"question_id\": \"1184\",\n \"answer\": \"in an automobile\"\n },\n {\n \"question_id\": \"1185\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"1186\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1187\",\n \"answer\": \"Fred\"\n },\n {\n \"question_id\": \"1188\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1189\",\n \"answer\": \"Andy\"\n },\n {\n \"question_id\": \"1190\",\n \"answer\": \"Nick Ogilvie\"\n },\n {\n \"question_id\": \"1191\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"1192\",\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 Bobby's grandmother was studying at a school in New York City. She lived at the school year round. So Bobby's mother put him on a bus to the city and his grandmother picked him up at the Port Authority bus stop. They took the train back to the school. They put Bobby's backpack on a rack in the guest room. Then Bobby and his grandmother went out for a walk. They stopped at a corner shop for pizza and sodas. Then they walked to the Empire State Building. At the top of the Empire State Building they looked out over the city. They counted all the bridges and looked at all the tall buildings. Bobby bought three postcards and a little snow globe in the shop. Then they took the elevator back to the ground floor. Next they took a yellow cab to Central Park. They rode the carousel and went to the zoo. Bobby's favorite animals were the monkeys. He did not like the snakes at all. After they had ice cream cones, Bobby and his grandmother took the train back to her school. They had salads for supper. Then they read a story together. Bobby's grandmother made up her sofa bed for Bobby as they made plans for the next day. Bobby wanted to know if they could go to a baseball game. His grandmother said she would get tickets.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43537\": \"Why was Bobby's grandmother in NY?\"\n },\n {\n \"43538\": \"How did Bobby get to NYC?\"\n },\n {\n \"43539\": \"Who helped him get on the bus?\"\n },\n {\n \"43540\": \"Who met him at the bus station in New York?\"\n },\n {\n \"43541\": \"What did they do after the put Bobby's bag in the guest room?\"\n },\n {\n \"43542\": \"Did they get anything to eat?\"\n },\n {\n \"43543\": \"What did they eat that day?\"\n },\n {\n \"43544\": \"How many postcards did Bobby purchase?\"\n },\n {\n \"43545\": \"Is that all that he bought?\"\n },\n {\n \"43546\": \"What else did he get?\"\n },\n {\n \"43547\": \"What color was the taxt that Bobby and his grandmother took to the park?\"\n },\n {\n \"43548\": \"What did they do after they had ice cream?\"\n },\n {\n \"43549\": \"Did they eat anything else that day?\"\n },\n {\n \"43550\": \"What did they have?\"\n },\n {\n \"43551\": \"What did Bobby want to do the next day?\"\n },\n {\n \"43552\": \"Where was Bobby going to sleep?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"43537\",\n \"answer\": \"she was studying\"\n },\n {\n \"question_id\": \"43538\",\n \"answer\": \"on a bus\"\n },\n {\n \"question_id\": \"43539\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"43540\",\n \"answer\": \"his grandmother\"\n },\n {\n \"question_id\": \"43541\",\n \"answer\": \"they went out for a walk\"\n },\n {\n \"question_id\": \"43542\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"43543\",\n \"answer\": \"pizza and sodas\"\n },\n {\n \"question_id\": \"43544\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"43545\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"43546\",\n \"answer\": \"a little snow globe\"\n },\n {\n \"question_id\": \"43547\",\n \"answer\": \"yellow\"\n },\n {\n \"question_id\": \"43548\",\n \"answer\": \"took the train back to her school\"\n },\n {\n \"question_id\": \"43549\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"43550\",\n \"answer\": \"salads\"\n },\n {\n \"question_id\": \"43551\",\n \"answer\": \"go to a baseball game\"\n },\n {\n \"question_id\": \"43552\",\n \"answer\": \"her sofa bed\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 great power is a sovereign state that is recognized as having the ability and expertise to exert its influence on a global scale. Great powers characteristically possess military and economic strength, as well as diplomatic and soft power influence, which may cause middle or small powers to consider the great powers' opinions before taking actions of their own. International relations theorists have posited that great power status can be characterized into power capabilities, spatial aspects, and status dimensions. Sometimes the status of great powers is formally recognized in conferences such as the Congress of Vienna or an international structure such as the United Nations Security Council (China, France, Russia, the United Kingdom and the United States serve as the body's five permanent members). At the same time the status of great powers can be informally recognized in a forum such as the G7 which consists of Canada, France, Germany, Italy, Japan, the United Kingdom and the United States of America.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65290\": \"what is typically possessed by them?\"\n },\n {\n \"65291\": \"How are they sometimes recognized?\"\n },\n {\n \"65292\": \"Such as?\"\n },\n {\n \"65293\": \"How many permanent members are there?\"\n },\n {\n \"65294\": \"How many countries are in the G7?\"\n },\n {\n \"65295\": \"What counties are in the UN?\"\n },\n {\n \"65296\": \"Where are the powers exerted?\"\n },\n {\n \"65297\": \"Are they challenged?\"\n },\n {\n \"65298\": \"Are their knowledge sought after?\"\n },\n {\n \"65299\": \"by whom?\"\n },\n {\n \"65300\": \"What is a great power?\"\n },\n {\n \"65301\": \"What does this state have?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65290\",\n \"answer\": \"military and economic strength\"\n },\n {\n \"question_id\": \"65291\",\n \"answer\": \"in conferences\"\n },\n {\n \"question_id\": \"65292\",\n \"answer\": \"Congress of Vienna\"\n },\n {\n \"question_id\": \"65293\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"65294\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"65295\",\n \"answer\": \"(China, France, Russia, the United Kingdom and the United State\"\n },\n {\n \"question_id\": \"65296\",\n \"answer\": \"globally\"\n },\n {\n \"question_id\": \"65297\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65298\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65299\",\n \"answer\": \"middle or small powers\"\n },\n {\n \"question_id\": \"65300\",\n \"answer\": \"a sovereign state\"\n },\n {\n \"question_id\": \"65301\",\n \"answer\": \"he ability and expertise to exert its influence on a global scale.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Fang Lizhi, a famed Chinese democracy activist, has died in the United States, where he fled in exile more than 20 years ago, fellow activists said. \n\nHe was 76. \n\nFang died Friday in Tucson, Arizona, according to Wang Dan, a prominent student leader of the 1989 Tiananmen Square student protests. \n\n\"My most, most respected teacher Fang Lizhi has died,\" Wang wrote on Facebook. \"I am immensely sad. I hope that the Chinese people will forever remember him, that in our history there was a thinker named Fang (Lizhi) who inspired a 1989 generation and awakened the people to aspire to human rights and democracy.\" \n\nHe added, \"Sooner or later, there will be a day when China will be proud of Fang Lizhi.\" \n\nFang, an accomplished astrophysicist, served as vice president of the elite University of Science and Technology at Hefei, Anhui province. He was dismissed from his job and expelled from the Communist Party in 1987, blamed for sympathizing with student protesters. \n\nHe was one of the three noted intellectuals who were publicly criticized during the \"anti-bourgeois liberalization\" campaign at that time, though Fang continued to speak out for democracy. \n\nIn early 1989, he wrote an open letter to Communist Party leader Deng Xiaoping, calling for the release of Chinese political prisoners. \n\nAfter the bloody crackdown during the Tiananmen protests on June 4, 1989, Fang and his wife Li Shuxian sought refuge inside the U.S. embassy in Beijing. \n\nA year later, they were allowed to leave China for Britain and were soon after granted political refuge in the United States. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8013\": \"What kind of scientist was Fang?\"\n },\n {\n \"8014\": \"Where did he work?\"\n },\n {\n \"8015\": \"Where was that located?\"\n },\n {\n \"8016\": \"what was his title?\"\n },\n {\n \"8017\": \"Does he still have that job?\"\n },\n {\n \"8018\": \"Why did he leave?\"\n },\n {\n \"8019\": \"Did he quit\"\n },\n {\n \"8020\": \"Is he still alive?\"\n },\n {\n \"8021\": \"How old was he?\"\n },\n {\n \"8022\": \"Where did his death occur?\"\n },\n {\n \"8023\": \"Was he living there?\"\n },\n {\n \"8024\": \"For how long?\"\n },\n {\n \"8025\": \"How did he come to the U.S.?\"\n },\n {\n \"8026\": \"How many countries did he live in?\"\n },\n {\n \"8027\": \"Who is Wang Dan?\"\n },\n {\n \"8028\": \"What is Fang Lizhi to him?\"\n },\n {\n \"8029\": \"How does he feel about the death?\"\n },\n {\n \"8030\": \"How does he think China should feel about Fang?\"\n },\n {\n \"8031\": \"Who did Fang ask to set prisoners free?\"\n },\n {\n \"8032\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"8013\",\n \"answer\": \"astrophysicist\"\n },\n {\n \"question_id\": \"8014\",\n \"answer\": \"University of Science and Technolog\"\n },\n {\n \"question_id\": \"8015\",\n \"answer\": \"t Hefei, Anhui province\"\n },\n {\n \"question_id\": \"8016\",\n \"answer\": \"vice president\"\n },\n {\n \"question_id\": \"8017\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8018\",\n \"answer\": \"Due to the Tiananmen protests\"\n },\n {\n \"question_id\": \"8019\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8020\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8021\",\n \"answer\": \"76.\"\n },\n {\n \"question_id\": \"8022\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"8023\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8024\",\n \"answer\": \"more than 20 years\"\n },\n {\n \"question_id\": \"8025\",\n \"answer\": \"In exile\"\n },\n {\n \"question_id\": \"8026\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"8027\",\n \"answer\": \"A prominent student leader of the Tiananmen Square protest\"\n },\n {\n \"question_id\": \"8028\",\n \"answer\": \"Teacher\"\n },\n {\n \"question_id\": \"8029\",\n \"answer\": \"Immensely sad.\"\n },\n {\n \"question_id\": \"8030\",\n \"answer\": \"Proud of Fang Lizhi.\"\n },\n {\n \"question_id\": \"8031\",\n \"answer\": \"Deng Xiaopin\"\n },\n {\n \"question_id\": \"8032\",\n \"answer\": \"1989\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 SIXTEEN. \n\nFRIENDS AND FOES--PLOTS AND COUNTERPLOTS--THE RANCH IN DANGER. \n\nIn a few minutes the sound of heavy feet and gruff voices was heard in the outside passage, and next moment ten men filed into the room and saluted their chief heartily. \n\nCharlie felt an almost irresistible tendency to open his eyes, but knew that the risk was too great, and contented himself with his ears. These told him pretty eloquently what was going on, for suddenly, the noise of voices and clattering of footsteps ceased, a dead silence ensued, and Charlie knew that the whole band were gazing at him with wide open eyes and, probably, open mouths. Their attention had been directed to the stranger by the chief. The silence was only momentary, however. \n\n\"Now, don't begin to whisper, pards,\" said Buck Tom, in a slightly sarcastic tone. \"When will ye learn that there is nothing so likely to waken a sleeper as whisperin'? Be natural--be natural, and tell me, as softly as ye can in your natural tones, what has brought you back so soon. Come, Jake, you have got the quietest voice. The poor man is pretty well knocked up and needs rest. I brought him here.\" \n\n\"Has he got much?\" the sentence was completed by Jake significantly slapping his pocket. \n\n\"A goodish lot. But come, sit down and out wi' the news. Something must be wrong.\" \n\n\"Wall, I guess that somethin' _is_ wrong. Everything's wrong, as far as I can see. The Redskins are up, an' the troops are out, an' so it seemed o' no use our goin' to bust up the ranch of Roarin' Bull, seein' that the red devils are likely to be there before us. So we came back here, an' I'm glad you've got suthin' in the pot, for we're about as empty as kettledrums.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68567\": \"What was heard in the corridor?\"\n },\n {\n \"68568\": \"How many entered the room?\"\n },\n {\n \"68569\": \"What did they do when they went in?\"\n },\n {\n \"68570\": \"Who wanted to watch what was happening?\"\n },\n {\n \"68571\": \"Did he?\"\n },\n {\n \"68572\": \"Why not?\"\n },\n {\n \"68573\": \"What did he do instead?\"\n },\n {\n \"68574\": \"Could he tell what was going on from listening?\"\n },\n {\n \"68575\": \"What was he sure was happening?\"\n },\n {\n \"68576\": \"Who was being sarcastic?\"\n },\n {\n \"68577\": \"What did he warn the guys against doing?\"\n },\n {\n \"68578\": \"Why didn't he think they should whisper?\"\n },\n {\n \"68579\": \"Which gentleman was the softest spoken?\"\n },\n {\n \"68580\": \"What were the group trying to do to Charlie?\"\n },\n {\n \"68581\": \"Who was likely to have made it to the ranch before the group?\"\n },\n {\n \"68582\": \"What was the name of the ranch?\"\n },\n {\n \"68583\": \"Where the guys hungry when they got back?\"\n },\n {\n \"68584\": \"What was the phrase used to convey that?\"\n },\n {\n \"68585\": \"Which group was up?\"\n },\n {\n \"68586\": \"And which was out?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68567\",\n \"answer\": \"Heavy feet and gruff voices.\"\n },\n {\n \"question_id\": \"68568\",\n \"answer\": \"Ten.\"\n },\n {\n \"question_id\": \"68569\",\n \"answer\": \"Saluted their chief.\"\n },\n {\n \"question_id\": \"68570\",\n \"answer\": \"Charlie.\"\n },\n {\n \"question_id\": \"68571\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"68572\",\n \"answer\": \"The risk was too great,.\"\n },\n {\n \"question_id\": \"68573\",\n \"answer\": \"Contented himself with his ears.\"\n },\n {\n \"question_id\": \"68574\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"68575\",\n \"answer\": \"The whole band was gazing at him.\"\n },\n {\n \"question_id\": \"68576\",\n \"answer\": \"Buck Tom\"\n },\n {\n \"question_id\": \"68577\",\n \"answer\": \"Whispering.\"\n },\n {\n \"question_id\": \"68578\",\n \"answer\": \"It might wake a sleeper.\"\n },\n {\n \"question_id\": \"68579\",\n \"answer\": \"Jake\"\n },\n {\n \"question_id\": \"68580\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"68581\",\n \"answer\": \", The Red Devils.\"\n },\n {\n \"question_id\": \"68582\",\n \"answer\": \"Roarin' Bull,\"\n },\n {\n \"question_id\": \"68583\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"68584\",\n \"answer\": \"We're about as empty as kettledrums.\"\n },\n {\n \"question_id\": \"68585\",\n \"answer\": \"The Redskins.\"\n },\n {\n \"question_id\": \"68586\",\n \"answer\": \"The troops.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII \n\nFischer, exactly one week after his nocturnal visit to Fourteenth Street, hurried out of the train at the Pennsylvania Station, almost tore the newspapers from the news stand, glanced through them one by one and threw them back. The attendant, open-mouthed, ventured upon a mild protest. Fischer threw him a dollar bill, caught up his handbag, and made for the entrance. He was the first passenger from the Washington Limited to reach the street and spring into a taxi. \n\n\"The Plaza Hotel,\" he ordered. \"Get along.\" \n\nThey arrived at the Plaza in less than ten minutes. Mr. Fischer tipped the driver lavishly, suffered the hall porter to take his bag, returned his greeting mechanically, and walked with swift haste to the tape machine. He held up the strips with shaking fingers, dropped them again, hurried to the lift, and entered his rooms. Nikasti was in the sitting-room, arranging some flowers. Fischer did not even stop to reply to his reverential greeting. \n\n\"Where's Mr. Van Teyl?\" he demanded. \n\n\"Mr. Van Teyl has gone away, sir,\" was the calm reply. \"He left here the day before yesterday. There is a letter.\" \n\nFischer took no notice. He was already gripping the telephone receiver. \n\n\"982, Wall,\" he said--\"an urgent call.\" \n\nHe stood waiting, his face an epitome of breathless suspense. Soon a voice answered him. \n\n\"That the office of Neville, Brooks and Van Teyl?\" he demanded. \"Yes! Put me through to Mr. Van Teyl. Urgent!\" \n\nAnother few seconds of waiting, then once more he bent over the instrument. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83323\": \"What street did Fischer visit?\"\n },\n {\n \"83324\": \"Was the visit at night?\"\n },\n {\n \"83325\": \"What was he hurrying out of?\"\n },\n {\n \"83326\": \"Where?\"\n },\n {\n \"83327\": \"What was almost torn?\"\n },\n {\n \"83328\": \"From where?\"\n },\n {\n \"83329\": \"Did he look at the papers?\"\n },\n {\n \"83330\": \"What did he do with them after?\"\n },\n {\n \"83331\": \"What did he throw at the attendant?\"\n },\n {\n \"83332\": \"What did Fischer spring into?\"\n },\n {\n \"83333\": \"What was he the first passenger to reach?\"\n },\n {\n \"83334\": \"Where did he tell the taxi to take him?\"\n },\n {\n \"83335\": \"How long before they arrived there?\"\n },\n {\n \"83336\": \"What did Fischer give the driver?\"\n },\n {\n \"83337\": \"Was it a good tip?\"\n },\n {\n \"83338\": \"to where did he walk quickly?\"\n },\n {\n \"83339\": \"What was Nikasti doing?\"\n },\n {\n \"83340\": \"Where?\"\n },\n {\n \"83341\": \"Whose location did Fischer ask about?\"\n },\n {\n \"83342\": \"When had he left?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83323\",\n \"answer\": \"Fourteenth\"\n },\n {\n \"question_id\": \"83324\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"83325\",\n \"answer\": \"A train\"\n },\n {\n \"question_id\": \"83326\",\n \"answer\": \"Pennsylvania Station\"\n },\n {\n \"question_id\": \"83327\",\n \"answer\": \"newspapers\"\n },\n {\n \"question_id\": \"83328\",\n \"answer\": \"the news stand\"\n },\n {\n \"question_id\": \"83329\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"83330\",\n \"answer\": \"threw them back\"\n },\n {\n \"question_id\": \"83331\",\n \"answer\": \"a dollar bill\"\n },\n {\n \"question_id\": \"83332\",\n \"answer\": \"a taxi.\"\n },\n {\n \"question_id\": \"83333\",\n \"answer\": \"the street\"\n },\n {\n \"question_id\": \"83334\",\n \"answer\": \"Plaza Hotel\"\n },\n {\n \"question_id\": \"83335\",\n \"answer\": \"less than ten minutes\"\n },\n {\n \"question_id\": \"83336\",\n \"answer\": \"a tip\"\n },\n {\n \"question_id\": \"83337\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"83338\",\n \"answer\": \"the tape machine.\"\n },\n {\n \"question_id\": \"83339\",\n \"answer\": \"arranging some flowers.\"\n },\n {\n \"question_id\": \"83340\",\n \"answer\": \"in the sitting-room\"\n },\n {\n \"question_id\": \"83341\",\n \"answer\": \"Mr. Van Teyl\"\n },\n {\n \"question_id\": \"83342\",\n \"answer\": \"the day before yesterday.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Oxford English Dictionary (OED) is a descriptive dictionary of the English language, published by the Oxford University Press. It traces the historical development of the English language, providing a comprehensive resource to scholars and academic researchers, as well as describing usage in its many variations throughout the world. The second edition came to 21,728 pages in 20 volumes, published in 1989. \n\nWork began on the dictionary in 1857, but it was not until 1884 that it began to be published in unbound fascicles as work continued on the project, under the name of \"A New English Dictionary on Historical Principles; Founded Mainly on the Materials Collected by The Philological Society\". In 1895, the title \"The Oxford English Dictionary\" (\"OED\") was first used unofficially on the covers of the series, and in 1928 the full dictionary was republished in ten bound volumes. In 1933, the title \"The Oxford English Dictionary\" fully replaced the former name in all occurrences in its reprinting as twelve volumes with a one-volume supplement. More supplements came over the years until 1989, when the second edition was published. Since 2000, a third edition of the dictionary has been underway, approximately a third of which is now complete.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11470\": \"how many volumes does the 2nd edition have?\"\n },\n {\n \"11471\": \"what does OED stand for?\"\n },\n {\n \"11472\": \"what has been underway since 2000?\"\n },\n {\n \"11473\": \"how much is complete?\"\n },\n {\n \"11474\": \"when did work begin on it originally?\"\n },\n {\n \"11475\": \"what is OED?\"\n },\n {\n \"11476\": \"What does it trace?\"\n },\n {\n \"11477\": \"how many pages does the 2nd edition have?\"\n },\n {\n \"11478\": \"what happened in 1933?\"\n },\n {\n \"11479\": \"what was the former name?\"\n },\n {\n \"11480\": \"who uses it as a resource?\"\n },\n {\n \"11481\": \"does it have many variations?\"\n },\n {\n \"11482\": \"are the variations around the world or just one region?\"\n },\n {\n \"11483\": \"when was it republished?\"\n },\n {\n \"11484\": \"when was the title first used unofficially?\"\n },\n {\n \"11485\": \"how many volumes was it when republished?\"\n },\n {\n \"11486\": \"when was the 2nd edition published?\"\n },\n {\n \"11487\": \"what role did the philological society play?\"\n },\n {\n \"11488\": \"who publishes OED?\"\n },\n {\n \"11489\": \"How many supplement volumes did it have when the title changed?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11470\",\n \"answer\": \"20.\"\n },\n {\n \"question_id\": \"11471\",\n \"answer\": \"Oxford English Dictionary\"\n },\n {\n \"question_id\": \"11472\",\n \"answer\": \"A third edition.\"\n },\n {\n \"question_id\": \"11473\",\n \"answer\": \"A third.\"\n },\n {\n \"question_id\": \"11474\",\n \"answer\": \"1857,\"\n },\n {\n \"question_id\": \"11475\",\n \"answer\": \"The Oxford English Dictionary\"\n },\n {\n \"question_id\": \"11476\",\n \"answer\": \"The historical development of the English language\"\n },\n {\n \"question_id\": \"11477\",\n \"answer\": \"21,728\"\n },\n {\n \"question_id\": \"11478\",\n \"answer\": \"The Oxford English Dictionary fully replaced the former name\"\n },\n {\n \"question_id\": \"11479\",\n \"answer\": \"A New English Dictionary on Historical Principles\"\n },\n {\n \"question_id\": \"11480\",\n \"answer\": \"Scholars and academic researchers,\"\n },\n {\n \"question_id\": \"11481\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"11482\",\n \"answer\": \"The world\"\n },\n {\n \"question_id\": \"11483\",\n \"answer\": \"1884\"\n },\n {\n \"question_id\": \"11484\",\n \"answer\": \"In 1895\"\n },\n {\n \"question_id\": \"11485\",\n \"answer\": \"Ten.\"\n },\n {\n \"question_id\": \"11486\",\n \"answer\": \"1989.\"\n },\n {\n \"question_id\": \"11487\",\n \"answer\": \"it provided the materials it is based on.\"\n },\n {\n \"question_id\": \"11488\",\n \"answer\": \"Oxford University Press.\"\n },\n {\n \"question_id\": \"11489\",\n \"answer\": \"\\\"12 with 1 supplement.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Once upon a time there was a little boy who had a rock. The rock was his favorite toy. He would throw his rock at trees, or roll his rock down hills. Sometimes he would stand at the river shore, dropping his rock in the water. He thought it was great fun to listen to the rock splash. \n\nOne day, the little boy met a brown cow. \"Moo!\" said the cow. \n\n\"Hello,\" said the boy. \"Would you like to see my rock?\" \n\nThe boy held out his rock for the cow to see. The cow looked at it. Then it picked it up in its mouth. \n\n\"Moo,\" said the cow. \n\n\"Hey,\" the boy said. \"Give me back my rock!\" \n\nThe boy tried to pull open the cow's mouth. Then he tried sticking his fingers in the cow's nose, so it would open its mouth to breathe. Then he tried tickling the cow, but it wouldn't open its mouth. \n\n\"Moo,\" it said. Then it swallowed the rock, and the little boy went home and cried.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4712\": \"Who did the little boy meet?\"\n },\n {\n \"4713\": \"What did it say?\"\n },\n {\n \"4714\": \"What did the young lad reply?\"\n },\n {\n \"4715\": \"What did the lad show him?\"\n },\n {\n \"4716\": \"What did he do next\"\n },\n {\n \"4717\": \"What did the animal do when he saw it?\"\n },\n {\n \"4718\": \"Was the lad happy?\"\n },\n {\n \"4719\": \"What did the lad say next?\"\n },\n {\n \"4720\": \"What did the lad do to the animal to get his rock?\"\n },\n {\n \"4721\": \"What did he do next to the animals nostrils\"\n },\n {\n \"4722\": \"Why?\"\n },\n {\n \"4723\": \"Then what did he try?\"\n },\n {\n \"4724\": \"Did that work?\"\n },\n {\n \"4725\": \"What did it say then?\"\n },\n {\n \"4726\": \"What happened to the boy's possession?\"\n },\n {\n \"4727\": \"Who swallowed it?\"\n },\n {\n \"4728\": \"Where did the lad go next?\"\n },\n {\n \"4729\": \"What did he do when he got there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4712\",\n \"answer\": \"a brown cow\"\n },\n {\n \"question_id\": \"4713\",\n \"answer\": \"Moo\"\n },\n {\n \"question_id\": \"4714\",\n \"answer\": \"Hey\"\n },\n {\n \"question_id\": \"4715\",\n \"answer\": \"his rock\"\n },\n {\n \"question_id\": \"4716\",\n \"answer\": \"held out his rock\"\n },\n {\n \"question_id\": \"4717\",\n \"answer\": \"picked it up in its mouth\"\n },\n {\n \"question_id\": \"4718\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"4719\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"4720\",\n \"answer\": \"pull open the cow's mouth\"\n },\n {\n \"question_id\": \"4721\",\n \"answer\": \"sticking his fingers in\"\n },\n {\n \"question_id\": \"4722\",\n \"answer\": \"so it would open its mouth to breathe\"\n },\n {\n \"question_id\": \"4723\",\n \"answer\": \"tickling\"\n },\n {\n \"question_id\": \"4724\",\n \"answer\": \"it wouldn't open its mouth\"\n },\n {\n \"question_id\": \"4725\",\n \"answer\": \"Moo\"\n },\n {\n \"question_id\": \"4726\",\n \"answer\": \"swallowed\"\n },\n {\n \"question_id\": \"4727\",\n \"answer\": \"the cow\"\n },\n {\n \"question_id\": \"4728\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"4729\",\n \"answer\": \"cried\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Norfolk is an independent city located in the Commonwealth of Virginia in the United States. At the 2010 census, the population was 242,803; in 2015, the population was estimated to be 247,189 making it the second-most populous city in Virginia after neighboring Virginia Beach. \n\nNorfolk is located at the core of the Hampton Roads metropolitan area, named for the large natural harbor of the same name located at the mouth of Chesapeake Bay. It is one of nine cities and seven counties that constitute the Hampton Roads metro area, officially known as the Virginia Beach-Norfolk-Newport News, VA-NC MSA. The city is bordered to the west by the Elizabeth River and to the north by the Chesapeake Bay. It also shares land borders with the independent cities of Chesapeake to its south and Virginia Beach to its east. Norfolk is one of the oldest cities in Hampton Roads, and is considered to be the historic, urban, financial, and cultural center of the region. \n\nThe city has a long history as a strategic military and transportation point. The largest Navy base in the world, Naval Station Norfolk, is located in Norfolk along with one of NATO's two Strategic Command headquarters. The city also has the corporate headquarters of Norfolk Southern Railway, one of North America's principal Class I railroads, and Maersk Line, Limited, which manages the world's largest fleet of US-flag vessels. As the city is bordered by multiple bodies of water, Norfolk has many miles of riverfront and bayfront property, including beaches on the Chesapeake Bay. It is linked to its neighbors by an extensive network of Interstate highways, bridges, tunnels, and three bridge-tunnel complexes, which are the only bridge-tunnels in the United States.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40965\": \"Does Norfolk have a military presence?\"\n },\n {\n \"40966\": \"Army or navy?\"\n },\n {\n \"40967\": \"What is the base called?\"\n },\n {\n \"40968\": \"How many strategic command headquarters does NATO have?\"\n },\n {\n \"40969\": \"Is one of them in Norfolk?\"\n },\n {\n \"40970\": \"Which class I railroad is headquartered there?\"\n },\n {\n \"40971\": \"What other transportation company is stationed there?\"\n },\n {\n \"40972\": \"Do they control the second largest fleet of US vessels?\"\n },\n {\n \"40973\": \"Is Norfolk land locked?\"\n },\n {\n \"40974\": \"Where are its beaches located?\"\n },\n {\n \"40975\": \"How many bridge tunnels are located there?\"\n },\n {\n \"40976\": \"What other U.S. city has those?\"\n },\n {\n \"40977\": \"Is Norfolk in West Virginia?\"\n },\n {\n \"40978\": \"Did the population increase or decrease between 2010 and 2015?\"\n },\n {\n \"40979\": \"Is it the biggest city in Virginia?\"\n },\n {\n \"40980\": \"What is?\"\n },\n {\n \"40981\": \"Are they close to each other?\"\n },\n {\n \"40982\": \"What bay is it on?\"\n },\n {\n \"40983\": \"What river lies to its west?\"\n },\n {\n \"40984\": \"Is it a historic city?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40965\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"40966\",\n \"answer\": \"Navy\"\n },\n {\n \"question_id\": \"40967\",\n \"answer\": \"Naval Station Norfolk\"\n },\n {\n \"question_id\": \"40968\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"40969\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"40970\",\n \"answer\": \"Norfolk Southern Railway\"\n },\n {\n \"question_id\": \"40971\",\n \"answer\": \"Maersk Line, Limited\"\n },\n {\n \"question_id\": \"40972\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"40973\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40974\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"40975\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"40976\",\n \"answer\": \"None\"\n },\n {\n \"question_id\": \"40977\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"40978\",\n \"answer\": \"Increased\"\n },\n {\n \"question_id\": \"40979\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"40980\",\n \"answer\": \"Virginia Beach\"\n },\n {\n \"question_id\": \"40981\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"40982\",\n \"answer\": \"Chesapeake Bay\"\n },\n {\n \"question_id\": \"40983\",\n \"answer\": \"Elizabeth River\"\n },\n {\n \"question_id\": \"40984\",\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 Los Angeles (CNN) -- A motorist pleaded not guilty Tuesday to one count of murder and multiple other charges, three days after he allegedly drove his car into pedestrians at the famed Venice Beach Boardwalk in California, killing an Italian honeymooner. \n\nNathan Louis Campbell, 38, is charged with murder, 16 counts of assault with a deadly weapon and 17 counts of hit-and-run, said Deputy District Attorney Gary Hearnsberger. \n\nThe charges include the special allegation of use of a deadly weapon, a car. Campbell, who was being held on $1.48 million bail, could face a life sentence if convicted. \n\nCampbell, wearing a blue jail jumpsuit at his arraignment, was handcuffed at the waist and wrists. \n\nWhen asked whether he wanted to waive his right to a speedy trial, Campbell answered, \"Yes, sir\" during the brief appearance. \n\nPolice: Driver 'bent on doing evil' \n\nHis court-appointed attorney, Philip Dube, said his client was \"very distraught\" over the incident, but did not deliberately strike anyone. \n\n\"I don't believe he intentionally tried to hit anybody, based on my cursory review of the case and my discussions with the D.A.,\" said Dube. \n\nLos Angeles Superior Court Judge Keith L. Schwartz set the next hearing for September 4. He and attorneys will discuss scheduling a preliminary hearing. \n\nCampbell is accused of driving his 2008 Dodge Avenger onto the boardwalk, killing 32-year-old Alice Gruppioni of Italy. She suffered blunt trauma to the head and neck, according to Los Angeles County coroner spokesman Ed Winter. \n\nEight women and eight men were hurt Saturday, authorities said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1511\": \"what was campbell wearing at his arraingment?\"\n },\n {\n \"1512\": \"what is his full name?\"\n },\n {\n \"1513\": \"how old is he?\"\n },\n {\n \"1514\": \"what is he charged with?\"\n },\n {\n \"1515\": \"who's death did he cause?\"\n },\n {\n \"1516\": \"why was she in town?\"\n },\n {\n \"1517\": \"what is Campbells bond?\"\n },\n {\n \"1518\": \"what could his punishment be?\"\n },\n {\n \"1519\": \"who is his lawyer?\"\n },\n {\n \"1520\": \"does he think he did this on purpose?\"\n },\n {\n \"1521\": \"what was campbell driving?\"\n },\n {\n \"1522\": \"how many people did he hurt?\"\n },\n {\n \"1523\": \"where they all women?\"\n },\n {\n \"1524\": \"did Campbell ask for a quick trial?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1511\",\n \"answer\": \"a blue jail jumpsuit\"\n },\n {\n \"question_id\": \"1512\",\n \"answer\": \"Nathan Louis Campbell\"\n },\n {\n \"question_id\": \"1513\",\n \"answer\": \"38\"\n },\n {\n \"question_id\": \"1514\",\n \"answer\": \"murder, 16 counts of assault with a deadly weapon and 17 counts of hit-and-run\"\n },\n {\n \"question_id\": \"1515\",\n \"answer\": \"Alice Gruppioni's\"\n },\n {\n \"question_id\": \"1516\",\n \"answer\": \"She was on her honeymoon\"\n },\n {\n \"question_id\": \"1517\",\n \"answer\": \"$1.48 million\"\n },\n {\n \"question_id\": \"1518\",\n \"answer\": \"A life sentence\"\n },\n {\n \"question_id\": \"1519\",\n \"answer\": \"Philip Dube\"\n },\n {\n \"question_id\": \"1520\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1521\",\n \"answer\": \"Dodge Avenger\"\n },\n {\n \"question_id\": \"1522\",\n \"answer\": \"16, not including Alice\"\n },\n {\n \"question_id\": \"1523\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1524\",\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 San Francisco (CNN) -- Barry Bonds' former trainer was freed Friday from the prison where he's been held since he refused to testify in the baseball legend's perjury trial two weeks ago. \n\nWith the jury now deliberating the perjury and obstruction of justice case against Bonds, U.S. District Judge Susan Illston ordered Gary Anderson to be released. \n\nIllston found Anderson in contempt of court on the first day of trial testimony when his lawyer informed her that he would not take the stand to answer questions about Bonds' steroid use. \n\nIt was the third time Anderson chose jail time over testimony. He was sent to prison for several weeks twice before when he refused to appear before a federal grand jury investigating Bonds. \n\nThe absence of the trainer's testimony hampered the government's case against Bonds, who is charged with lying under oath when he testified about his steroids use in 2003 before the grand jury that was investigating an alleged sports doping scandal involving Anderson of the Bay Area Laboratory Co-operative. \n\nBonds, 46, allegedly lied about knowingly taking performance-enhancing drugs and about being injected by anyone but his doctors. \n\nThe jury of eight women and four men are deciding Bonds' fate in a San Francisco federal courthouse less than two miles from the ballpark where Bonds broke Hank Aaron's major league home run record in August 2007. \n\nThe three perjury counts and one count of obstruction of justice could each carry a 10-year prison sentence upon conviction. A fourth perjury charge was dropped by prosecutors Wednesday. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97049\": \"Who was locked up?\"\n },\n {\n \"97050\": \"Who was released from prison?\"\n },\n {\n \"97051\": \"And who was ordered to be released?\"\n },\n {\n \"97052\": \"What was bonds charged with?\"\n },\n {\n \"97053\": \"What did Illston find Anderson guilty of on day one?\"\n },\n {\n \"97054\": \"How many times had Anderson been guilty of this?\"\n },\n {\n \"97055\": \"Who had he refused to appear before?\"\n },\n {\n \"97056\": \"What was Ilslton's profession?\"\n },\n {\n \"97057\": \"How old was Bonds?\"\n },\n {\n \"97058\": \"How many were in the jury?\"\n },\n {\n \"97059\": \"How many were women?\"\n },\n {\n \"97060\": \"Where was this?\"\n },\n {\n \"97061\": \"Less than 2 miles from where?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97049\",\n \"answer\": \"Gary Anderson\"\n },\n {\n \"question_id\": \"97050\",\n \"answer\": \"Barry Bonds' former trainer\"\n },\n {\n \"question_id\": \"97051\",\n \"answer\": \"Susan Illston\"\n },\n {\n \"question_id\": \"97052\",\n \"answer\": \"Lying under oath\"\n },\n {\n \"question_id\": \"97053\",\n \"answer\": \"Contempt of court\"\n },\n {\n \"question_id\": \"97054\",\n \"answer\": \"twice before\"\n },\n {\n \"question_id\": \"97055\",\n \"answer\": \"A federal grand jury\"\n },\n {\n \"question_id\": \"97056\",\n \"answer\": \"U.S. District Judge\"\n },\n {\n \"question_id\": \"97057\",\n \"answer\": \"46\"\n },\n {\n \"question_id\": \"97058\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"97059\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"97060\",\n \"answer\": \"San Francisco\"\n },\n {\n \"question_id\": \"97061\",\n \"answer\": \"A ballpark\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nLIGHTFOOT 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 \"946\": \"What had been hanging from Lightfoot's antlers?\"\n },\n {\n \"947\": \"What kind of animal was Peter?\"\n },\n {\n \"948\": \"What kind of animal was Jumper?\"\n },\n {\n \"949\": \"Were they related?\"\n },\n {\n \"950\": \"How?\"\n },\n {\n \"951\": \"What kind of animal was Lightfoot?\"\n },\n {\n \"952\": \"When did Peter last see him?\"\n },\n {\n \"953\": \"Did Lightfoot say he lost something?\"\n },\n {\n \"954\": \"What?\"\n },\n {\n \"955\": \"Did he say he got new ones?\"\n },\n {\n \"956\": \"Was Peter able to believe Lightfoot's story?\"\n },\n {\n \"957\": \"Who was able to believe it?\"\n },\n {\n \"958\": \"What's one of the reasons that Jumper does?\"\n },\n {\n \"959\": \"What's another reason ?\"\n },\n {\n \"960\": \"Was Jumper big?\"\n },\n {\n \"961\": \"Had he been eavesdropping?\"\n },\n {\n \"962\": \"Why was Peter snappish with him?\"\n },\n {\n \"963\": \"Did Peter want to believe Lightfoot?\"\n },\n {\n \"964\": \"Did Lightfoot like to tell everybody things they might not believe?\"\n },\n {\n \"965\": \"What did Peter say to Lightfoot about it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"946\",\n \"answer\": \"rags\"\n },\n {\n \"question_id\": \"947\",\n \"answer\": \"a rabbit\"\n },\n {\n \"question_id\": \"948\",\n \"answer\": \"a hare\"\n },\n {\n \"question_id\": \"949\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"950\",\n \"answer\": \"they were cousinss\"\n },\n {\n \"question_id\": \"951\",\n \"answer\": \"a deer\"\n },\n {\n \"question_id\": \"952\",\n \"answer\": \"since the last winter\"\n },\n {\n \"question_id\": \"953\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"954\",\n \"answer\": \"his antlers\"\n },\n {\n \"question_id\": \"955\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"956\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"957\",\n \"answer\": \"Jumper the Hare\"\n },\n {\n \"question_id\": \"958\",\n \"answer\": \"because he saw Lightfoot's old antlers after they had fallen off\"\n },\n {\n \"question_id\": \"959\",\n \"answer\": \"and he often saw Lightfoot while his new ones were growing\"\n },\n {\n \"question_id\": \"960\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"961\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"962\",\n \"answer\": \"Jumper had startled him\"\n },\n {\n \"question_id\": \"963\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"964\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"965\",\n \"answer\": \"\\\"I'm trying to believe it,\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n \"Tom? Are you in bed yet?\" called Mrs White. There was no answer. Mrs White put down her book and went to her 14-year-old son's room. Tom was sitting in front of a bright computer screen on which a colourful dragon jumped and shouted. \"Oh, Tom! You're still playing on that computer. You must stop now. It's half past eleven. If you don't go to bed soon, you'll be very tired tomorrow,\" said Mrs White. \"But I've nearly beaten the dragon,\" said Tom. Mrs White could see the excitement on her son's face. She sat down beside him. \"You are always playing on that computer. You spend more time with this machine than with your family,\" she said with a smile. \"What's special about it? Show me what it can do!\" \"I think this is a great computer, Mum!\" he said happily. \"The hardware is good. There's so much memory and it has some wonderful software programs. This game, 'Dragon Player', is my favourite, but I sometimes borrow games from Daniel and other friends. I don't have to worry about any infected disks because I have a virus detector which can go over any disk and check it for viruses. Let me show you!\" Tom began tapping. The screen changed in answer to his orders. \"Oh, Tom,\" laughed Mrs White. \"I'm sure it's a wonderful computer, but I'm afraid I don't know what you're talking about.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70896\": \"What is the name of Mrs. White's son?\"\n },\n {\n \"70897\": \"how old is he?\"\n },\n {\n \"70898\": \"was he using the computer?\"\n },\n {\n \"70899\": \"was he close to winning?\"\n },\n {\n \"70900\": \"what time was it?\"\n },\n {\n \"70901\": \"who does Tom borrow games from?\"\n },\n {\n \"70902\": \"was tom in bed?\"\n },\n {\n \"70903\": \"what did Mrs White put down?\"\n },\n {\n \"70904\": \"what was on his screen?\"\n },\n {\n \"70905\": \"was it dull or colourful?\"\n },\n {\n \"70906\": \"where did Mrs. White sit?\"\n },\n {\n \"70907\": \"did Tom think the hardware was good?\"\n },\n {\n \"70908\": \"which game was his favourite?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"70896\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"70897\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"70898\",\n \"answer\": \"yese\"\n },\n {\n \"question_id\": \"70899\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70900\",\n \"answer\": \"half past eleven\"\n },\n {\n \"question_id\": \"70901\",\n \"answer\": \"Daniel and other friends.\"\n },\n {\n \"question_id\": \"70902\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70903\",\n \"answer\": \"book\"\n },\n {\n \"question_id\": \"70904\",\n \"answer\": \"a dragon\"\n },\n {\n \"question_id\": \"70905\",\n \"answer\": \"colourful\"\n },\n {\n \"question_id\": \"70906\",\n \"answer\": \"beside him.\"\n },\n {\n \"question_id\": \"70907\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70908\",\n \"answer\": \"Dragon Player\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVII \n\nMR. DUGE FAILS \n\nNorris Vine without a doubt was trapped. He realized it from the moment Phineas Duge closed the door and turned the key. The two men who had entered were to all appearance absolutely harmless and ordinary. They were dressed most correctly in dark clothes of fashionable cut. Each wore a silk hat, and would have passed without a moment's question amongst any ordinary group of better-class city men. Nevertheless, when at his quick motion toward the bell the fingers of one of them closed upon his arm, he knew very well that he was helpless. He suffered them to lead him without resistance into the little sitting-room. What could he have done? If he had opened his mouth to call out, he saw the hand of the man who was watching him, with his arm linked through his, ready to close his lips. They all passed into the sitting-room, and Phineas Duge closed the door behind them. \n\n\"I am sorry,\" he said, \"to resort to such old-fashioned measures, but as you know I am methodical in all my ways. The first place to look for stolen goods is obviously in the abode of the thief. Frankly, I have not much expectation of discovering anything here. At the same time I could not afford to run the risk of leaving these rooms and your person unsearched.\" \n\n\"I can quite appreciate that,\" Norris Vine said, seating himself in the armchair towards which he was being gently pushed. \"The only favour I will ask is that you are as quick as possible, as I have rather a busy afternoon, and want to lunch early.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"498\": \"Was someone trapped?\"\n },\n {\n \"499\": \"Who?\"\n },\n {\n \"500\": \"Who is the trapper\"\n },\n {\n \"501\": \"How many men entered?\"\n },\n {\n \"502\": \"What is the other one's name\"\n },\n {\n \"503\": \"What were they wearing\"\n },\n {\n \"504\": \"What about on their heads?\"\n },\n {\n \"505\": \"Could Norris speak out?\"\n },\n {\n \"506\": \"Why?\"\n },\n {\n \"507\": \"Did Norris seat himself?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"498\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"499\",\n \"answer\": \"Norris Vine\"\n },\n {\n \"question_id\": \"500\",\n \"answer\": \"Phineas Duge\"\n },\n {\n \"question_id\": \"501\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"502\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"503\",\n \"answer\": \"dark clothes of fashionable cut\"\n },\n {\n \"question_id\": \"504\",\n \"answer\": \"silk hat\"\n },\n {\n \"question_id\": \"505\",\n \"answer\": \"He could but didn't cry out\"\n },\n {\n \"question_id\": \"506\",\n \"answer\": \"the man was ready to close his lips.\"\n },\n {\n \"question_id\": \"507\",\n \"answer\": \"He seated himself while he was being gently pushed.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE BETTER PART OF VALOUR. \n\nFor who is he, whose chin is but enriched With one appearing hair, that will not follow These culled and choice-drawn cavaliers 'gainst France? Work, work your thoughts, and therein see a siege. King Henry V. \n\nThe next forenoon, Mary met James in the park, wandering in search of his pupil, whom he had not seen since they had finished their morning's work in the study. Some wild freak with Clara was apprehended, but while they were conferring, Mary exclaimed, 'What's that?' as a clatter and clank met her ear. \n\n'Only the men going out to join old Brewster's ridiculous yeomanry,' said Jem. \n\n'Oh, I should like to see them,' cried Mary, running to the top of a bank, whence she could see into the hollow road leading from the stables to the lodge. Four horsemen, the sun glancing on their helmets, were descending the road, and a fifth, at some distance ahead, was nearly out of sight. 'Ah,' she said, 'Louis must have been seeing them off. How disappointed he must be not to go!' \n\n'I wish I was sure--' said James, with a start. 'I declare his folly is capable of anything! Why did I not think of it sooner?' \n\nClara here rushed upon them with her cameleopard gallop, sending her voice before her, 'Can you see them?' \n\n'Scarcely,' said Mary, making room for her. \n\n'Where's Louis'!' hastily demanded her brother. \n\n'Gone to the yeomanry meeting,' said Clara, looking in their faces in the exultation of producing a sensation. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32098\": \"Where did Mary meet James?\"\n },\n {\n \"32099\": \"When?\"\n },\n {\n \"32100\": \"Who was arrested?\"\n },\n {\n \"32101\": \"Who was she with?\"\n },\n {\n \"32102\": \"What were they doing?\"\n },\n {\n \"32103\": \"What did Mary hear?\"\n },\n {\n \"32104\": \"What was it?\"\n },\n {\n \"32105\": \"Whos was it?\"\n },\n {\n \"32106\": \"Did Mary want to see them?\"\n },\n {\n \"32107\": \"Where did she stand?\"\n },\n {\n \"32108\": \"why?\"\n },\n {\n \"32109\": \"where did it lead?\"\n },\n {\n \"32110\": \"How many men total?\"\n },\n {\n \"32111\": \"Were they all together?\"\n },\n {\n \"32112\": \"Who was bummed?\"\n },\n {\n \"32113\": \"Who ran up to them?\"\n },\n {\n \"32114\": \"was she yelling?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32098\",\n \"answer\": \"the park\"\n },\n {\n \"question_id\": \"32099\",\n \"answer\": \"The next forenoon\"\n },\n {\n \"question_id\": \"32100\",\n \"answer\": \"Some wild freak\"\n },\n {\n \"question_id\": \"32101\",\n \"answer\": \"Clara\"\n },\n {\n \"question_id\": \"32102\",\n \"answer\": \"conferring\"\n },\n {\n \"question_id\": \"32103\",\n \"answer\": \"a clatter and clank\"\n },\n {\n \"question_id\": \"32104\",\n \"answer\": \"the men joining the yeomanry\"\n },\n {\n \"question_id\": \"32105\",\n \"answer\": \"Brewster's\"\n },\n {\n \"question_id\": \"32106\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"32107\",\n \"answer\": \"top of a bank\"\n },\n {\n \"question_id\": \"32108\",\n \"answer\": \"she could see the road\"\n },\n {\n \"question_id\": \"32109\",\n \"answer\": \"the lodge\"\n },\n {\n \"question_id\": \"32110\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"32111\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"32112\",\n \"answer\": \"Louis\"\n },\n {\n \"question_id\": \"32113\",\n \"answer\": \"Clara\"\n },\n {\n \"question_id\": \"32114\",\n \"answer\": \"Yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nKIT'S REWARD \n\nOn the morning after their arrival, Kit and Macallister went to the Metropole. Macallister wore a neat blue uniform, a cap with the company's badge, and spotless white deck-shoes. His talk was careless and now and then his eyes twinkled. Kit's look was moody, and he wore plain duck clothes. He did not know if he was the company's servant and rather thought he was not; Don Arturo had sent for him, and he was probably going to be dismissed. \n\nWhen they went up the drive to the big square hotel Macallister looked about. \n\n\"Don Arturo's a great man, but he has no' much eye for beauty,\" he remarked. \"When his architect built the Metropole his model was a block. Maybe the cube style's economical. We get the maist room inside wi' the least span o' wall, but if I was a Spaniard, I'd make a bomb and blow up the ugly thing.\" \n\nHe stopped and putting his head on one side studied the hotel. \"Bulk has value, if it's properly relieved. The old Greeks kenned; they used the square but they broke the line wi' pillars and cornices. Maybe, if ye worked in two, three mouldings and ran a _loggia_ along the front----\" \n\n\"I didn't know you were an architect,\" Kit said impatiently. \n\n\"Ye dinna ken a' old Peter's talents,\" Macallister rejoined with a grin. \"Architecture's useful and man has done fine work in stone, but for a pattern o' lightness, strength and beauty ye'll need to take a modern steel steamship. She must bear strains and stresses ye dinna bother aboot on land. A town hall, for example, is no designed for plunging through a steep head sea. Man! wi' a rule and a scriber, I'd design ye a better building than yon hotel.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57655\": \"Who was said to be a great man?\"\n },\n {\n \"57656\": \"What didn't he have a good eye for?\"\n },\n {\n \"57657\": \"Was anyone wearing blue?\"\n },\n {\n \"57658\": \"Who?\"\n },\n {\n \"57659\": \"What shape was the hotel?\"\n },\n {\n \"57660\": \"What was possibly economical?\"\n },\n {\n \"57661\": \"Who went to the Metropole?\"\n },\n {\n \"57662\": \"Who went to the Metropole on the morning after their arrival?\"\n },\n {\n \"57663\": \"What was on someone's cap?\"\n },\n {\n \"57664\": \"Who seemed impatient?\"\n },\n {\n \"57665\": \"What did someone say they'd do if they were a Spaniard?\"\n },\n {\n \"57666\": \"Was anyone speaking carelessly?\"\n },\n {\n \"57667\": \"Who?\"\n },\n {\n \"57668\": \"Was anyone wearing plain, duck clothes?\"\n },\n {\n \"57669\": \"Who?\"\n },\n {\n \"57670\": \"Who did Don Arturo send for?\"\n },\n {\n \"57671\": \"What reason did he think he got sent for?\"\n },\n {\n \"57672\": \"Did anyone study the hotel?\"\n },\n {\n \"57673\": \"What was his posture like?\"\n },\n {\n \"57674\": \"What did he then say had value?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57655\",\n \"answer\": \"Don Arturo\"\n },\n {\n \"question_id\": \"57656\",\n \"answer\": \"Beauty\"\n },\n {\n \"question_id\": \"57657\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57658\",\n \"answer\": \"Macallister\"\n },\n {\n \"question_id\": \"57659\",\n \"answer\": \"Square\"\n },\n {\n \"question_id\": \"57660\",\n \"answer\": \"The cube style\"\n },\n {\n \"question_id\": \"57661\",\n \"answer\": \"Don Arturo's architect\"\n },\n {\n \"question_id\": \"57662\",\n \"answer\": \"Kit and Macallister\"\n },\n {\n \"question_id\": \"57663\",\n \"answer\": \"The company's badge\"\n },\n {\n \"question_id\": \"57664\",\n \"answer\": \"Kit\"\n },\n {\n \"question_id\": \"57665\",\n \"answer\": \"They would make a bomb and blow up the hotel\"\n },\n {\n \"question_id\": \"57666\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57667\",\n \"answer\": \"Macallister\"\n },\n {\n \"question_id\": \"57668\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57669\",\n \"answer\": \"Kit\"\n },\n {\n \"question_id\": \"57670\",\n \"answer\": \"Kit\"\n },\n {\n \"question_id\": \"57671\",\n \"answer\": \"He was going to be dismissed\"\n },\n {\n \"question_id\": \"57672\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57673\",\n \"answer\": \"His head was on one side\"\n },\n {\n \"question_id\": \"57674\",\n \"answer\": \"Bulk\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII \n\nTHE STATEMENT OF TIBBIE BIRSE \n\nOn a Thursday Pete Lownie was buried, and when Hendry returned from the funeral Jess asked if Davit Lunan had been there. \n\n\"Na,\" said Hendry, who was shut up in the closet-bed, taking off his blacks, \"I heard tell he wasna bidden.\" \n\n\"Yea, yea,\" said Jess, nodding to me significantly. \"Ay, weel,\" she added, \"we'll be hae'n Tibbie ower here on Saturday to deave's (weary us) to death aboot it.\" \n\nTibbie, Davit's wife, was sister to Marget, Pete's widow, and she generally did visit Jess on Saturday night to talk about Marget, who was fast becoming one of the most fashionable persons in Thrums. Tibbie was hopelessly plebeian. She was none of your proud kind, and if I entered the kitchen when she was there she pretended not to see me, so that, if I chose, I might escape without speaking to the like of her. I always grabbed her hand, however, in a frank way. \n\nOn Saturday Tibbie made her appearance. From the rapidity of her walk, and the way she was sucking in her mouth, I knew that she had strange things to unfold. She had pinned a grey shawl about her shoulders, and wore a black mutch over her dangling grey curls. \n\n\"It's you, Tibbie,\" I heard Jess say, as the door opened. \n\nTibbie did not knock, not considering herself grand enough for ceremony, and indeed Jess would have resented her knocking. On the other hand, when Leeby visited Tibbie, she knocked as politely as if she were collecting for the precentor's present. All this showed that we were superior socially to Tibbie. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6644\": \"When was the funeral?\"\n },\n {\n \"6645\": \"Who is Davit's wife related to?\"\n },\n {\n \"6646\": \"Who was she married to?\"\n },\n {\n \"6647\": \"Who was fashionable?\"\n },\n {\n \"6648\": \"Where do they live?\"\n },\n {\n \"6649\": \"Who lived shabbily?\"\n },\n {\n \"6650\": \"When did she show up?\"\n },\n {\n \"6651\": \"Did she seem nervous?\"\n },\n {\n \"6652\": \"Does she knock upon entering?\"\n },\n {\n \"6653\": \"Who is better than Tibbie?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6644\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"6645\",\n \"answer\": \"Marget\"\n },\n {\n \"question_id\": \"6646\",\n \"answer\": \"Pete\"\n },\n {\n \"question_id\": \"6647\",\n \"answer\": \"Marget\"\n },\n {\n \"question_id\": \"6648\",\n \"answer\": \"Thrums\"\n },\n {\n \"question_id\": \"6649\",\n \"answer\": \"Tibbie\"\n },\n {\n \"question_id\": \"6650\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"6651\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6652\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6653\",\n \"answer\": \"Leeby\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XX \n\nDIAMOND CUT DIAMOND \n\nTuesday afternoon Miss Lord's big touring car stood at the door of Hillcrest Lodge, for Agatha had invited the Conant party to ride with her to Millbank. Irene was tucked into the back seat in a comfortable position and beside her sat Mrs. Conant, who was going to make a few purchases at the village store. Mary Louise rode on the front seat with Agatha, who loved to drive her car and understood it perfectly. \n\nWhen they drove away there was no one left in the house but Sarah Judd, the servant girl, who was washing the lunch dishes. Bub was in the shed- like garage, however, washing and polishing Will Morrison's old car, on which the paint was so cracked and faded that the boy's attempt to improve its appearance was a desperate one. \n\nSarah, through the kitchen window, watched Bub for a time rather sharply. Then she went out on the bluff and looked down in the valley. Miss Lord's big car was just passing the Huddle on its way up the valley. \n\nSarah turned and reentered the house. Her meek and diffident expression of countenance had quite disappeared. Her face now wore a look of stern determination and the blue eyes deepened and grew shrewd. \n\nShe walked straight to the den and without hesitation approached the farther wall and took from its pegs Will Morrison's fine hunting rifle. In the stock was a hollow chamber for cartridges, for the rifle was of the type known as a \"repeater.\" Sliding back the steel plate that hid this cavity, Sarah drew from it a folded paper of a yellow tint and calmly spread it on the table before her. Then she laid down the rifle, placed a chair at the table and with absorbed attention read the letter from beginning to end--the letter that Irene had found in the book. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80513\": \"Who was the only person left in the house?\"\n },\n {\n \"80514\": \"And who was she?\"\n },\n {\n \"80515\": \"And what was she doing?\"\n },\n {\n \"80516\": \"Where was Miss Lord's vehicle?\"\n },\n {\n \"80517\": \"Of what location?\"\n },\n {\n \"80518\": \"Did Agatha enjoy driving?\"\n },\n {\n \"80519\": \"Did she have her own vehicle?\"\n },\n {\n \"80520\": \"Where was Bub?\"\n },\n {\n \"80521\": \"Doing what?\"\n },\n {\n \"80522\": \"Whose car was it?\"\n },\n {\n \"80523\": \"Was Bub having much luck improving the appearance of the car?\"\n },\n {\n \"80524\": \"What had Miss Lord's vehicle just gone by?\"\n },\n {\n \"80525\": \"Which leads to where?\"\n },\n {\n \"80526\": \"What color eyes did Sarah have?\"\n },\n {\n \"80527\": \"What was in the stock of the gun?\"\n },\n {\n \"80528\": \"For holding what?\"\n },\n {\n \"80529\": \"What kind of gun was it?\"\n },\n {\n \"80530\": \"Was it called another name?\"\n },\n {\n \"80531\": \"What was the color of the tint of the paper?\"\n },\n {\n \"80532\": \"Who found the letter in the book?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80513\",\n \"answer\": \"Sarah Judd\"\n },\n {\n \"question_id\": \"80514\",\n \"answer\": \"the servant girl\"\n },\n {\n \"question_id\": \"80515\",\n \"answer\": \"washing dishes\"\n },\n {\n \"question_id\": \"80516\",\n \"answer\": \"at the door\"\n },\n {\n \"question_id\": \"80517\",\n \"answer\": \"Hillcrest Lodge\"\n },\n {\n \"question_id\": \"80518\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80519\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80520\",\n \"answer\": \"in the garage\"\n },\n {\n \"question_id\": \"80521\",\n \"answer\": \"washing and polishing a car\"\n },\n {\n \"question_id\": \"80522\",\n \"answer\": \"Will Morrison\"\n },\n {\n \"question_id\": \"80523\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"80524\",\n \"answer\": \"the Huddle\"\n },\n {\n \"question_id\": \"80525\",\n \"answer\": \"the valley\"\n },\n {\n \"question_id\": \"80526\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"80527\",\n \"answer\": \"a hollow chamber\"\n },\n {\n \"question_id\": \"80528\",\n \"answer\": \"cartridges\"\n },\n {\n \"question_id\": \"80529\",\n \"answer\": \"rifle\"\n },\n {\n \"question_id\": \"80530\",\n \"answer\": \"a repeater\"\n },\n {\n \"question_id\": \"80531\",\n \"answer\": \"yellow\"\n },\n {\n \"question_id\": \"80532\",\n \"answer\": \"Irene\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 London Stock Exchange (LSE) is a stock exchange located in the City of London, England. , the Exchange had a market capitalisation of US$6.06 trillion (short scale), making it the third-largest stock exchange in the world by this measurement (the largest in Europe, ahead of Euronext). The Exchange was founded in 1801 and its current premises are situated in Paternoster Square close to St Paul's Cathedral in the City of London. The Exchange is part of the London Stock Exchange Group. \n\nLondon Stock Exchange is one of the world’s oldest stock exchanges and can trace its history back more than 300 years. London Stock Exchange Group was created in October 2007 when London Stock Exchange merged with Milan Stock Exchange, Borsa Italiana. \n\nThe Royal Exchange had been founded by English financier Thomas Gresham on the model of the Antwerp Bourse, as a stock exchange. It was opened by Elizabeth I of England in 1571. \n\nDuring the 17th century, stockbrokers were not allowed in the Royal Exchange due to their rude manners. They had to operate from other establishments in the vicinity, notably Jonathan's Coffee-House. At that coffee house, a broker named John Casting started listing the prices of a few commodities, exchange rates and certain key provisions such as salt, coal and paper in 1698. Originally, this was not a daily list and was only published a few days of the week.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"29376\": \"What is one of the world's oldest stock exchanges?\"\n },\n {\n \"29377\": \"How long can it traces its history back?\"\n },\n {\n \"29378\": \"Where is it located\"\n },\n {\n \"29379\": \"Where in London?\"\n },\n {\n \"29380\": \"Is it the largest in Europe?\"\n },\n {\n \"29381\": \"When was it founded?\"\n },\n {\n \"29382\": \"What is its value?\"\n },\n {\n \"29383\": \"What is it a part of?\"\n },\n {\n \"29384\": \"When was that founded?\"\n },\n {\n \"29385\": \"Who opened The Royal Exchange?\"\n },\n {\n \"29386\": \"When?\"\n },\n {\n \"29387\": \"Who was Thomas Gresham\"\n },\n {\n \"29388\": \"Where did stockbrokers operate from in the 17th century?\"\n },\n {\n \"29389\": \"Why?\"\n },\n {\n \"29390\": \"Why?\"\n },\n {\n \"29391\": \"Who started listing prices?\"\n },\n {\n \"29392\": \"When?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"29376\",\n \"answer\": \"The London Stock Exchange\"\n },\n {\n \"question_id\": \"29377\",\n \"answer\": \"more than 300 years\"\n },\n {\n \"question_id\": \"29378\",\n \"answer\": \"City of London\"\n },\n {\n \"question_id\": \"29379\",\n \"answer\": \"situated in Paternoster Square close to St Paul's Cathedral in the City of London\"\n },\n {\n \"question_id\": \"29380\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"29381\",\n \"answer\": \"in 1801\"\n },\n {\n \"question_id\": \"29382\",\n \"answer\": \"US$6.06\\u00a0trillion\"\n },\n {\n \"question_id\": \"29383\",\n \"answer\": \"part of the London Stock Exchange Group.\"\n },\n {\n \"question_id\": \"29384\",\n \"answer\": \"London Stock Exchange Group was created in October 2007\"\n },\n {\n \"question_id\": \"29385\",\n \"answer\": \"Thomas Gresham\"\n },\n {\n \"question_id\": \"29386\",\n \"answer\": \"1571\"\n },\n {\n \"question_id\": \"29387\",\n \"answer\": \"English financier\"\n },\n {\n \"question_id\": \"29388\",\n \"answer\": \"Jonathan's Coffee-House\"\n },\n {\n \"question_id\": \"29389\",\n \"answer\": \"were not allowed in the Royal Exchange\"\n },\n {\n \"question_id\": \"29390\",\n \"answer\": \"due to their rude manners\"\n },\n {\n \"question_id\": \"29391\",\n \"answer\": \"John Casting\"\n },\n {\n \"question_id\": \"29392\",\n \"answer\": \"in 1698\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nEGYPT AND GREECE. \n\nB.C. 484 \n\nXerxes assumes the crown.--His message to Artobazanes.--Question of the succession again debated.--Advice of Atossa.--Decision of Artabanus.--Unfinished wars of Darius.--Egypt and Greece.--Character of the Egyptians.--Character of the Greeks.--Architecture.--Monuments of Greece.--Egyptian architecture.--Form of Egypt.--Delta of the Nile.--Fertility of Egypt.--No rain in Egypt.--Rising of the Nile.--Preparations for the inundation.--Gradual rise of the water.--Appearance of the country during an inundation.--The three theories.--Objections to the first.--Second and third theories.--Reasons against them.--Ideas of the common people in regard to the inundation.--Story of King Pheron.--His punishment.--Sequel of the story of King Pheron.--Nilometers.--Use of Nilometers.--Enormous structures of Egypt.--Comparative antiquity of various objects.--Great age of the Pyramids.--Egypt a mark for the conqueror.--Its relation to Persia.--Xerxes resolves to subdue Egypt first.--The Jews.--The Egyptians subdued.--Return to Susa. \n\nThe arrangements which Darius had made to fix and determine the succession, before his death, did not entirely prevent the question from arising again when his death occurred. Xerxes was on the spot at the time, and at once assumed the royal functions. His brother was absent. Xerxes sent a messenger to Artobazanes[C] informing him of their father's death, and of his intention of assuming the crown. He said, however, that if he did so, he should give his brother the second rank, making him, in all respects, next to himself in office and honor. He sent, moreover, a great many splendid presents to Artobazanes, to evince the friendly regard which he felt for him, and to propitiate his favor. \n\n[Footnote C: Plutarch, who gives an account of these occurrences, varies the orthography of the name. We, however, retain the name as given by Herodotus.] \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56178\": \"who is Xerces brother?\"\n },\n {\n \"56179\": \"and his dad?\"\n },\n {\n \"56180\": \"what did he inform his brother?\"\n },\n {\n \"56181\": \"and?\"\n },\n {\n \"56182\": \"did he send him anything?\"\n },\n {\n \"56183\": \"why?\"\n },\n {\n \"56184\": \"had Darius decided who would take over before he died?\"\n },\n {\n \"56185\": \"where was Xerxes when he died?\"\n },\n {\n \"56186\": \"did he take responsibility right away?\"\n },\n {\n \"56187\": \"was his brother there?\"\n },\n {\n \"56188\": \"had Xerxes already decide to take the throne according to the message?\"\n },\n {\n \"56189\": \"what would he do with his brother if he decided?\"\n },\n {\n \"56190\": \"what would this mean?\"\n },\n {\n \"56191\": \"were questions asked after Darius died?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"56178\",\n \"answer\": \"Artobazanes\"\n },\n {\n \"question_id\": \"56179\",\n \"answer\": \"Darius\"\n },\n {\n \"question_id\": \"56180\",\n \"answer\": \"their father's death\"\n },\n {\n \"question_id\": \"56181\",\n \"answer\": \"his intention to assume the crown\"\n },\n {\n \"question_id\": \"56182\",\n \"answer\": \"presents\"\n },\n {\n \"question_id\": \"56183\",\n \"answer\": \"to evince a friendly regard\"\n },\n {\n \"question_id\": \"56184\",\n \"answer\": \"wyes\"\n },\n {\n \"question_id\": \"56185\",\n \"answer\": \"on the spot\"\n },\n {\n \"question_id\": \"56186\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56187\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"56188\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"56189\",\n \"answer\": \"give his brother second rank\"\n },\n {\n \"question_id\": \"56190\",\n \"answer\": \"make him second to Xerxes in office and honor\"\n },\n {\n \"question_id\": \"56191\",\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 Encyclopedia Americana is one of the largest general encyclopedias in the English language. Following the acquisition of Grolier in 2000, the encyclopedia has been produced by Scholastic. \n\nThe encyclopedia has more than 45,000 articles, most of them more than 500 words and many running to considerable length (the \"United States\" article is over 300,000 words). The work's coverage of American and Canadian geography and history has been a traditional strength. Written by 6,500 contributors, the \"Encyclopedia Americana\" includes over 9,000 bibliographies, 150,000 cross-references, 1,000+ tables, 1,200 maps, and almost 4,500 black-and-white line art and color images. It also has 680 factboxes. Most articles are signed by their contributors. \n\nLong available as a 30-volume print set, the \"Encyclopedia Americana\" is now marketed as an online encyclopedia requiring a subscription. In March 2008, Scholastic said that print sales remained good but that the company was still deciding on the future of the print edition. The company did not produce an edition in 2007, a change from its previous approach of releasing a revised print edition each year. The most recent print edition of the \"Encyclopedia Americana\" was published in 2006. \n\nThe online version of the \"Encyclopedia Americana\", first introduced in 1997, continues to be updated and sold. This work, like the print set from which it is derived, is designed for high school and first-year college students along with public library users. It is available to libraries as one of the options in the Grolier Online reference service, which also includes the \"Grolier Multimedia Encyclopedia\", intended for middle and high school students, and \"The New Book of Knowledge\", an encyclopedia for elementary and middle school students. Grolier Online is not available to individual subscribers.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24898\": \"When was the online version of the encyclopedia put out?\"\n },\n {\n \"24899\": \"Is it still updated?\"\n },\n {\n \"24900\": \"What kind of students is it designed for?\"\n },\n {\n \"24901\": \"And who else?\"\n },\n {\n \"24902\": \"What is made for middle and high school kids?\"\n },\n {\n \"24903\": \"What is designed for elementary students?\"\n },\n {\n \"24904\": \"Is the online service available to individuals?\"\n },\n {\n \"24905\": \"What is the biggest encyclopedia in the English language?\"\n },\n {\n \"24906\": \"Who has produced it after the year 2000?\"\n },\n {\n \"24907\": \"After they acquired what?\"\n },\n {\n \"24908\": \"How many articles are in the books?\"\n },\n {\n \"24909\": \"How many words are most?\"\n },\n {\n \"24910\": \"How long is the United States article?\"\n },\n {\n \"24911\": \"Is geography a strength for the encyclopedias?\"\n },\n {\n \"24912\": \"What else is a strong point?\"\n },\n {\n \"24913\": \"How many bibliographies are there?\"\n },\n {\n \"24914\": \"In what year was a print edition published?\"\n },\n {\n \"24915\": \"How many cross-references were there?\"\n },\n {\n \"24916\": \"How many factboxes are there?\"\n },\n {\n \"24917\": \"How many books were in a typical print edition?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24898\",\n \"answer\": \"1997\"\n },\n {\n \"question_id\": \"24899\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"24900\",\n \"answer\": \"high school and first-year college\"\n },\n {\n \"question_id\": \"24901\",\n \"answer\": \"public library users\"\n },\n {\n \"question_id\": \"24902\",\n \"answer\": \"Grolier Multimedia Encyclopedia\"\n },\n {\n \"question_id\": \"24903\",\n \"answer\": \"The New Book of Knowledge\"\n },\n {\n \"question_id\": \"24904\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"24905\",\n \"answer\": \"Encyclopedia Americana\"\n },\n {\n \"question_id\": \"24906\",\n \"answer\": \"Scholastic\"\n },\n {\n \"question_id\": \"24907\",\n \"answer\": \"Grolier\"\n },\n {\n \"question_id\": \"24908\",\n \"answer\": \"45,000\"\n },\n {\n \"question_id\": \"24909\",\n \"answer\": \"more than 500\"\n },\n {\n \"question_id\": \"24910\",\n \"answer\": \"over 300,000 words\"\n },\n {\n \"question_id\": \"24911\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"24912\",\n \"answer\": \"history\"\n },\n {\n \"question_id\": \"24913\",\n \"answer\": \"over 9,000\"\n },\n {\n \"question_id\": \"24914\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"24915\",\n \"answer\": \"150,000\"\n },\n {\n \"question_id\": \"24916\",\n \"answer\": \"680\"\n },\n {\n \"question_id\": \"24917\",\n \"answer\": \"30\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n About 400 high school students from Western Pennsylvania and the neighboring state of Ohio joined a heated discussion recently on \"China: What Does the Future Hold?\" \"It's either going to turn out really good or really bad - who knows?\" said Braveen Ragunathan, a senior from an Ohio high school. In his mind all Americans are connected to China in some way. The forum was held in Pittsburgh, once a US industrial center, now facing job-cuts because of competition brought about by globalization. The aim of the forum is to help American students learn more about the outside world. Elliott Blackwell, a junior at the Neighborhood Academy, said the forum let him know more about how China's economic development will affect America in the future. Some students, although impressed by China's economic boom, expressed uneasiness about the nation's practices and differences from the American way of doing business and politics. \"China is a power coming up,so they might challenge us,\" Paul Amon, a junior from Oil City High School, said. \"I'd hope that China can be our partner but I think that we'd clash along the way because we're too different,\" he added. George Riley, a teacher explained: \"The view of China is usually negative and I think that's fueled by the media.\" However, some negative feelings are not from the media. Merri Ebel is a senior at East Allegheny High School north of Pittsburgh. Both her parents lost their jobs recently. The company they worked for said it was cheaper to produce goods in China rather than the US. \"China is just this big question mark. China was just a big country with millions of people that no one really knew about because it was so far away and our class was more American history based,\" she said. For better or worse US teenagers are eager to know more about China, the forum shows.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64559\": \"What were the students intensely talking about?\"\n },\n {\n \"64560\": \"What town were they holding this talk in?\"\n },\n {\n \"64561\": \"Were some of the kids from a different state than that?\"\n },\n {\n \"64562\": \"How many kids were there?\"\n },\n {\n \"64563\": \"What was the goal of this conversation?\"\n },\n {\n \"64564\": \"Does Pittsburgh have a lot of job openings?\"\n },\n {\n \"64565\": \"Are American teens eager to learn about China?\"\n },\n {\n \"64566\": \"What state is Braveen from?\"\n },\n {\n \"64567\": \"Is he a freshman?\"\n },\n {\n \"64568\": \"Does he think we're all connected to China?\"\n },\n {\n \"64569\": \"Did Elliott learn about China's impact on our future?\"\n },\n {\n \"64570\": \"Does Paul think we've got too many difference with China?\"\n },\n {\n \"64571\": \"Who was the teacher?\"\n },\n {\n \"64572\": \"Does he think the news is fueling negativity about China?\"\n },\n {\n \"64573\": \"What happened to Merri's parents?\"\n },\n {\n \"64574\": \"What does she think China is?\"\n },\n {\n \"64575\": \"Does she think China is distant from her school?\"\n },\n {\n \"64576\": \"What did Pittsburgh used to be?\"\n },\n {\n \"64577\": \"What one word describes the job cuts there?\"\n },\n {\n \"64578\": \"Is Paul a senior?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64559\",\n \"answer\": \"China\"\n },\n {\n \"question_id\": \"64560\",\n \"answer\": \"Pittsburgh\"\n },\n {\n \"question_id\": \"64561\",\n \"answer\": \"Western Pennsylvania and the neighboring state of Ohio\"\n },\n {\n \"question_id\": \"64562\",\n \"answer\": \"400\"\n },\n {\n \"question_id\": \"64563\",\n \"answer\": \"help American students learn more about the outside world\"\n },\n {\n \"question_id\": \"64564\",\n \"answer\": \"facing job-cuts\"\n },\n {\n \"question_id\": \"64565\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64566\",\n \"answer\": \"Ohio\"\n },\n {\n \"question_id\": \"64567\",\n \"answer\": \"a senior\"\n },\n {\n \"question_id\": \"64568\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64569\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64570\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64571\",\n \"answer\": \"George Riley,\"\n },\n {\n \"question_id\": \"64572\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64573\",\n \"answer\": \"they lost their jobs\"\n },\n {\n \"question_id\": \"64574\",\n \"answer\": \"she doesnt know\"\n },\n {\n \"question_id\": \"64575\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64576\",\n \"answer\": \"industrial center\"\n },\n {\n \"question_id\": \"64577\",\n \"answer\": \"globalization\"\n },\n {\n \"question_id\": \"64578\",\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 Mark was walking home from school one day when he noticed a boy ahead of him. He had tripped and dropped all of the books he was carrying, along with some clothes, a baseball bat and a glove. Mark knelt down and helped the boy pick up the things. Since they were going the same way, he offered to carry some things for the boy. As they walked, Mark discovered the boy's name was Bill. He loved video games, baseball and history, but he was having trouble with some of his subjects. They arrived at Bill's home first. Mark was invited in for a Coke and to watch some television. The afternoon passed pleasantly with some laughs and talk. Then Mark went home. They continued to see each other around school, had lunch together once or twice, then both graduated from junior school. Three days before graduation, Bill asked Mark if they could talk. Bill reminded Mark of the day years ago when they had first met. \"Did you ever wonder why I was carrying so many things home that day?\" asked Bill. \"You see, I took away all my things from school. I had stored away some of my mother's sleeping pills . I was going home to kill myself. But after we spent some time talking and laughing, I realized that if I had died, I would have missed so many good time. So you see, Mark, when you picked up those books that day, you did a lot more. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52100\": \"what was the name of the boy that mark met?\"\n },\n {\n \"52101\": \"did Bill like video games?\"\n },\n {\n \"52102\": \"did mark offer to carry some of his things?\"\n },\n {\n \"52103\": \"how did everything get on the ground?\"\n },\n {\n \"52104\": \"who tripped?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52100\",\n \"answer\": \"Bill\"\n },\n {\n \"question_id\": \"52101\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52102\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52103\",\n \"answer\": \"he tripped\"\n },\n {\n \"question_id\": \"52104\",\n \"answer\": \"Bill\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sam's granddad was going to take Sam and his two brothers, James and Evan on vacation. They could choose to go to the lake or the beach. If they chose the lake, they would get to go on their granddad's boat. If they chose the beach, there would be sand to dig in. All three boys began to clap and cheer for the beach! The boys left their house in their granddad's van to drive to the beach. They drove by their school on the way. The boys were glad to be out for the summer. On the road, the boys played a game. Whoever counted the most big trucks would be the winner. James counted one hundred and five trucks. This was more than Sam or Evan counted. Evan pointed out the window at a man dressed all in black riding a black motorcycle. The man had a long beard. When they got to the beach, their granddad told them to put on sunscreen so they would not get sun burned. The boys grabbed their pails and shovels and ran down on to the sand near the water. Their granddad brought a chair to sit on and a large umbrella to give him shade. He also brought some noodles for the boys to float on if they went into the water. Sam found a piece of wood washed up on the beach. He used it make a bridge over large hole that the boys had dug.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48249\": \"Who's going on vacation?\"\n },\n {\n \"48250\": \"What choices did they have?\"\n },\n {\n \"48251\": \"What did they decide on?\"\n },\n {\n \"48252\": \"How did they spend the time while going there?\"\n },\n {\n \"48253\": \"Who won?\"\n },\n {\n \"48254\": \"How many did he count?\"\n },\n {\n \"48255\": \"What did the oldest one say to his grandkids?\"\n },\n {\n \"48256\": \"How did the boys spend their time at the beach?\"\n },\n {\n \"48257\": \"How did they feel?\"\n },\n {\n \"48258\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48249\",\n \"answer\": \"Sam's granddad, Sam, James, and Evan\"\n },\n {\n \"question_id\": \"48250\",\n \"answer\": \"go to the lake or the beach\"\n },\n {\n \"question_id\": \"48251\",\n \"answer\": \"beach\"\n },\n {\n \"question_id\": \"48252\",\n \"answer\": \"they counted the big trucks\"\n },\n {\n \"question_id\": \"48253\",\n \"answer\": \"James\"\n },\n {\n \"question_id\": \"48254\",\n \"answer\": \"105\"\n },\n {\n \"question_id\": \"48255\",\n \"answer\": \"put on sunscreen\"\n },\n {\n \"question_id\": \"48256\",\n \"answer\": \"They dug holes\"\n },\n {\n \"question_id\": \"48257\",\n \"answer\": \"glad\"\n },\n {\n \"question_id\": \"48258\",\n \"answer\": \"They weren't in school.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Babylonia was an ancient Akkadian-speaking state and cultural area based in central-southern Mesopotamia (present-day Iraq). A small Amorite-ruled state emerged in 1894 BC, which contained at this time the minor administrative town of Babylon. Babylon greatly expanded from the small provincial town that it had originally been during the Akkadian Empire (2335-2154 BC) during the reign of Hammurabi in the first half of the 18th century BC, becoming a major capital city. During the reign of Hammurabi and afterwards, Babylonia was called \"Māt Akkadī\" \"the country of Akkad\" in the Akkadian language. It was often involved in rivalry with its older fellow Akkadian-speaking state of Assyria in northern Mesopotamia, as well as Elam to the east, in Ancient Iran. Babylonia briefly became the major power in the region after Hammurabi (fl. c. 1792 – 1752 BC middle chronology, or c. 1696 – 1654 BC, short chronology) created a short-lived empire, succeeding the earlier Akkadian Empire, Third Dynasty of Ur, and Old Assyrian Empire; however, the Babylonian empire rapidly fell apart after the death of Hammurabi and reverted back to a small kingdom. \n\nThe Babylonian state, like Assyria to the north, retained the written Akkadian language for official use (the language of its native populace), despite its Northwest Semitic-speaking Amorite founders and Kassite successors, who spoke a language isolate, not being native Mesopotamians. It retained the Sumerian language for religious use (as did Assyria), but already by the time Babylon was founded, this was no longer a spoken language, having been wholly subsumed by Akkadian. The earlier Akkadian and Sumerian traditions played a major role in Babylonian and Assyrian culture, and the region would remain an important cultural center, even under its protracted periods of outside rule.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95514\": \"What is this about?\"\n },\n {\n \"95515\": \"Where is that?\"\n },\n {\n \"95516\": \"When was it created?\"\n },\n {\n \"95517\": \"What did it have in it?\"\n },\n {\n \"95518\": \"Did it stay small?\"\n },\n {\n \"95519\": \"When did it get bigger?\"\n },\n {\n \"95520\": \"Who ruled during this time?\"\n },\n {\n \"95521\": \"What did it turn into then?\"\n },\n {\n \"95522\": \"What did they speak there?\"\n },\n {\n \"95523\": \"What was it called in that?\"\n },\n {\n \"95524\": \"What does that mean?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95514\",\n \"answer\": \"The Babylonia State\"\n },\n {\n \"question_id\": \"95515\",\n \"answer\": \"central-southern Mesopotamia (present-day Iraq).\"\n },\n {\n \"question_id\": \"95516\",\n \"answer\": \"1894 BC,\"\n },\n {\n \"question_id\": \"95517\",\n \"answer\": \"minor administrative town of Babylon.\"\n },\n {\n \"question_id\": \"95518\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95519\",\n \"answer\": \"first half of the 18th century BC\"\n },\n {\n \"question_id\": \"95520\",\n \"answer\": \"Hammurabi\"\n },\n {\n \"question_id\": \"95521\",\n \"answer\": \"a major capital city.\"\n },\n {\n \"question_id\": \"95522\",\n \"answer\": \"Akkadian language\"\n },\n {\n \"question_id\": \"95523\",\n \"answer\": \"M\\u0101t Akkadi\"\n },\n {\n \"question_id\": \"95524\",\n \"answer\": \"the country of Akkad\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nA BUSY EVENING \n\nThe conversazione was, in its way, a brilliant gathering. There were present scientists, men of letters, artists, with a very fair sprinkling of society people, always anxious to absorb any new sensation. One saw there amongst the white-haired men, passing backwards and forwards, or talking together in little knots, professors whose names were famous throughout Europe. \n\nA very great man indeed brought Saton up to Pauline with a little word of explanation. \n\n\"I am sure,\" he said to her--she was one of his oldest friends--\"that you will be glad to meet the gentleman whose brilliant paper has interested us all so much. This is Lady Marrabel, Saton, whose father was professor at Oxford before your day.\" \n\nThe great man passed on. Pauline's first impulse had been to hold out her hand, but she had immediately withdrawn it. Saton contented himself with a grave bow. \n\n\"I am afraid, Lady Marrabel,\" he said, \"that you are prejudiced against me.\" \n\n\"I think not,\" she answered. \"Naturally, seeing you so suddenly brought into my mind the terrible occurrence of only a few days ago.\" \n\n\"An occurrence,\" he declared, \"which no one could regret so greatly as myself. But apart from that, Lady Marrabel, I am afraid that you are not prepared to do me justice. You look at me through Rochester's eyes, and I am quite sure that all his days Rochester will believe that I am more or less of a charlatan.\" \n\n\"Your paper was very wonderful, Mr. Saton,\" she said slowly. \"I am convinced that Mr. Rochester would have admitted that himself if he had been here.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89231\": \"What kind of peope were at the conversazione?\"\n },\n {\n \"89232\": \"anyone else?\"\n },\n {\n \"89233\": \"What other type of people?\"\n },\n {\n \"89234\": \"wgat dud pauline withdraw from stanton?\"\n },\n {\n \"89235\": \"What did she do instead?\"\n },\n {\n \"89236\": \"Who was it thhat would of said Satons paper was good if he had been there?\"\n },\n {\n \"89237\": \"Were the professors there famous?\"\n },\n {\n \"89238\": \"Throughout what region?\"\n },\n {\n \"89239\": \"What was Pauline to Saton?\"\n },\n {\n \"89240\": \"What did Saton think Mr. Rochester would think of him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89231\",\n \"answer\": \"scientists, men of letters,\"\n },\n {\n \"question_id\": \"89232\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89233\",\n \"answer\": \"artists,\"\n },\n {\n \"question_id\": \"89234\",\n \"answer\": \"her hand\"\n },\n {\n \"question_id\": \"89235\",\n \"answer\": \"Nothing, he bowed\"\n },\n {\n \"question_id\": \"89236\",\n \"answer\": \"A very great man\"\n },\n {\n \"question_id\": \"89237\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89238\",\n \"answer\": \"Europe.\"\n },\n {\n \"question_id\": \"89239\",\n \"answer\": \"prejudiced against him\"\n },\n {\n \"question_id\": \"89240\",\n \"answer\": \"believe that he am more or less of a charlatan.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Union Army or Federal Army was the land force that fought for the Union during the American Civil War, 1861 to 1865. It included the permanent regular army of the United States, which was augmented by massive numbers of temporary units consisting of volunteers as well as conscripts. The Union Army fought and defeated the Confederate Army during the war. At least two and a half million men served in the Union Army; almost all were volunteers. About 360,000 Union soldiers died from all causes; 280,000 were wounded and 200,000 deserted. \n\nWhen the American Civil War began in April 1861, there were only 16,000 men in the U.S. Army, and of these many Southern officers resigned and joined the Confederate army. The U.S. Army consisted of ten regiments of infantry, four of artillery, two of cavalry, two of dragoons, and three of mounted infantry. The regiments were scattered widely. Of the 197 companies in the army, 179 occupied 79 isolated posts in the West, and the remaining 18 manned garrisons east of the Mississippi River, mostly along the Canada–United States border and on the Atlantic coast. \n\nWith the Southern slave states declaring secession from the Union, and with this drastic shortage of men in the army, President Abraham Lincoln called on the states to raise a force of 75,000 men for three months to put down the insurrection. Lincoln's call forced the border states to choose sides, and four seceded, making the Confederacy eleven states strong. The war proved to be longer and more extensive than anyone North or South had expected, and on July 22, 1861, Congress authorized a volunteer army of 500,000 men.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99406\": \"Name a battle the Federal Army fought in?\"\n },\n {\n \"99407\": \"During what years?\"\n },\n {\n \"99408\": \"How many men were in the army at the beginning of the battle?\"\n },\n {\n \"99409\": \"How many regiments were there?\"\n },\n {\n \"99410\": \"Were they close to each other?\"\n },\n {\n \"99411\": \"How many companies were in the West?\"\n },\n {\n \"99412\": \"What were they occupying?\"\n },\n {\n \"99413\": \"At what location was the rest of the companies?\"\n },\n {\n \"99414\": \"How many were there?\"\n },\n {\n \"99415\": \"What were they guarding?\"\n },\n {\n \"99416\": \"How many men did Lincoln demand?\"\n },\n {\n \"99417\": \"for how long?\"\n },\n {\n \"99418\": \"For what?\"\n },\n {\n \"99419\": \"Did anyone expect the length of the war?\"\n },\n {\n \"99420\": \"When did Congress approve volunteer fighters?\"\n },\n {\n \"99421\": \"Male and female?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99406\",\n \"answer\": \"American Civil War,\"\n },\n {\n \"question_id\": \"99407\",\n \"answer\": \"1861 to 1865\"\n },\n {\n \"question_id\": \"99408\",\n \"answer\": \"At least two and a half million\"\n },\n {\n \"question_id\": \"99409\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"99410\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99411\",\n \"answer\": \"179\"\n },\n {\n \"question_id\": \"99412\",\n \"answer\": \"isolated posts\"\n },\n {\n \"question_id\": \"99413\",\n \"answer\": \"east of the Mississippi River\"\n },\n {\n \"question_id\": \"99414\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"99415\",\n \"answer\": \"garrisons\"\n },\n {\n \"question_id\": \"99416\",\n \"answer\": \"75,000\"\n },\n {\n \"question_id\": \"99417\",\n \"answer\": \"three months\"\n },\n {\n \"question_id\": \"99418\",\n \"answer\": \"put down the insurrection\"\n },\n {\n \"question_id\": \"99419\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99420\",\n \"answer\": \"July 22, 1861\"\n },\n {\n \"question_id\": \"99421\",\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 Geophysics is a subject of natural science concerned with the physical processes and physical properties of the Earth and its surrounding space environment, and the use of quantitative methods for their analysis. The term \"geophysics\" sometimes refers only to the geological applications: Earth's shape; its gravitational and magnetic fields; its internal structure and composition; its dynamics and their surface expression in plate tectonics, the generation of magmas, volcanism and rock formation. However, modern geophysics organizations use a broader definition that includes the water cycle including snow and ice; fluid dynamics of the oceans and the atmosphere; electricity and magnetism in the ionosphere and magnetosphere and solar-terrestrial relations; and analogous problems associated with the Moon and other planets. \n\nAlthough geophysics was only recognized as a separate discipline in the 19th century, its origins date back to ancient times. The first magnetic compasses were made from lodestones, while more modern magnetic compasses played an important role in the history of navigation. The first seismic instrument was built in 132 AD. Isaac Newton applied his theory of mechanics to the tides and the precession of the equinox; and instruments were developed to measure the Earth's shape, density and gravity field, as well as the components of the water cycle. In the 20th century, geophysical methods were developed for remote exploration of the solid Earth and the ocean, and geophysics played an essential role in the development of the theory of plate tectonics.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84412\": \"What is the main topic of this article?\"\n },\n {\n \"84413\": \"When was this term recognized as a separate discipline in the sciences?\"\n },\n {\n \"84414\": \"When was it first studied, though without a name?\"\n },\n {\n \"84415\": \"Do modern geophysics include the water cycle as part of this science?\"\n },\n {\n \"84416\": \"Did earlier ones?\"\n },\n {\n \"84417\": \"What was an important part of earlier versions of the compass?\"\n },\n {\n \"84418\": \"Do modern geophysics include the oceans as part of this science?\"\n },\n {\n \"84419\": \"Do modern geophysics include volcanoes as part of this science?\"\n },\n {\n \"84420\": \"What was one type of scientist that was important in the development of the theory of plate tectonic?\"\n },\n {\n \"84421\": \"Do geophysics include magnetic fields as part of this science?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84412\",\n \"answer\": \"Geophysics\"\n },\n {\n \"question_id\": \"84413\",\n \"answer\": \"19th century\"\n },\n {\n \"question_id\": \"84414\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"84415\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84416\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"84417\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"84418\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84419\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84420\",\n \"answer\": \"Isaac Newton\"\n },\n {\n \"question_id\": \"84421\",\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) -- From street corners, buses and subways to phone calls, e-mails, text messages, online posts and tweets, people around the world commented, pondered, and paid tribute to pop legend Michael Jackson, who died Thursday afternoon in Los Angeles. \n\nPedestrians in Sydney, Australia, watch a TV screen announcing Michael Jackson's death on Friday. \n\nAround midnight at London's Leicester Square, as news of Jackson's death spread, Luis Carlos Ameida and his friends were surrounding a car listening to the star's music. \n\nAmeida said he'd gotten tickets to see Jackson at his \"This Is It\" concerts beginning on July 13 in London. \n\n\"From a young age, you know, I used to have the video game,\" said Ameida. \"I used to have the white suit, and I'd wear it on my birthday. I used to moonwalk ... I remember my mum used to send me to lessons to be like Michael Jackson. And when I heard the news, I had tears in my eyes because of that connection I had because of all the songs he used to play.\" \n\nIn Glastonbury, southern England, where one of the world's largest music festivals was to kick off Friday morning, initial rumors and then confirmation of Jackson's death added to confusion and then shock among festival goers. Watch British fans react » \n\n\"As I was walking back through the crowd it was the word on everyone's lips,\" Sally Anne Aldous, 29, told CNN over the phone. Reaction from around the world in pictures » \n\nBackstage, Michael Jackson songs were being played in tribute, and fans talked of an impromptu memorial for the late singer at the \"Stone Circle,\" a neolithic monument in the grounds of the venue. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17598\": \"Who died?\"\n },\n {\n \"17599\": \"When?\"\n },\n {\n \"17600\": \"Where?\"\n },\n {\n \"17601\": \"What was Ameida doing?\"\n },\n {\n \"17602\": \"Where?\"\n },\n {\n \"17603\": \"In what city?\"\n },\n {\n \"17604\": \"At what time?\"\n },\n {\n \"17605\": \"Did he have tickets to a concert?\"\n },\n {\n \"17606\": \"Which one?\"\n },\n {\n \"17607\": \"When was that to start?\"\n },\n {\n \"17608\": \"Did Ameida have a game?\"\n },\n {\n \"17609\": \"What color was his suit?\"\n },\n {\n \"17610\": \"When did he have it on?\"\n },\n {\n \"17611\": \"Where is the music gathering?\"\n },\n {\n \"17612\": \"Where is that?\"\n },\n {\n \"17613\": \"When was the festival to start?\"\n },\n {\n \"17614\": \"Who talked to CNN?\"\n },\n {\n \"17615\": \"How old is she?\"\n },\n {\n \"17616\": \"Was the interview in person?\"\n },\n {\n \"17617\": \"Then how?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17598\",\n \"answer\": \"Michael Jackson\"\n },\n {\n \"question_id\": \"17599\",\n \"answer\": \"Thursday afternoon\"\n },\n {\n \"question_id\": \"17600\",\n \"answer\": \"in Los Angeles\"\n },\n {\n \"question_id\": \"17601\",\n \"answer\": \"listening to the star's music\"\n },\n {\n \"question_id\": \"17602\",\n \"answer\": \"Leicester Square\"\n },\n {\n \"question_id\": \"17603\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"17604\",\n \"answer\": \"Around midnight\"\n },\n {\n \"question_id\": \"17605\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17606\",\n \"answer\": \"This Is It\\\"\"\n },\n {\n \"question_id\": \"17607\",\n \"answer\": \"July 13\"\n },\n {\n \"question_id\": \"17608\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17609\",\n \"answer\": \"white\"\n },\n {\n \"question_id\": \"17610\",\n \"answer\": \"his birthday\"\n },\n {\n \"question_id\": \"17611\",\n \"answer\": \"In Glastonbury\"\n },\n {\n \"question_id\": \"17612\",\n \"answer\": \"southern England\"\n },\n {\n \"question_id\": \"17613\",\n \"answer\": \"Friday morning\"\n },\n {\n \"question_id\": \"17614\",\n \"answer\": \"Sally Anne Aldous\"\n },\n {\n \"question_id\": \"17615\",\n \"answer\": \"29\"\n },\n {\n \"question_id\": \"17616\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"17617\",\n \"answer\": \"over the phone\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Anne Sanders was practicing soccer moves, which was not normal. Usually, Anne only plays basketball. She wins every basketball game she plays, and she loses at any other game. \"Anne\", I waved to her. \"Why are you playing soccer?\" \"Well, the gym teacher is doing something different,\" she said. \"There are teams of four and partners of two.We get to pick our partners, and I want someone to pick me. \"Anne held up a list. \"It looks like I'm on a team with you, Stacey, and Paul,\" I said. \"Stacey is my best friend.Maybe we can be together: \" Just then, Stacey and Paul came over. They had heard of the teams. \"Do you want to be partners, Stacey?\" I asked. \"Well, I was going to be partners with Paul,\" she claimed. I didn't blame her. Paul was as fast as a rocket, and my nickname was \"Snail\". \"But we are best friends,\" said Stacey. \"So I guess I'II be with you. \" It was our first game. Stacey went to talk to some other friends afterwards, and Paul and Anne were talking about winning their game. I was sipping on my water, when I overheard Stacey, \"She's worse than I thought; if I played the team alone,, I would have won easily. She's worse than a snail. She's more like a statue. \" That night, I felt terrible for losing and mad at Stacey for calling me a statue. After all, she was my best friend and my only friend. Anyway, the phone rang, and it was Stacey. At first, I thought she might apologize, but no such luck. \"Allison, the game tomorrow is canceled, \" she said. \"Okay,\" I replied. \"Sorry about the game today\", Stacey hung up on me. The next day, I went over to the soccer field. I knew the game was canceled, but maybe I could help clean up.But instead of a mess, I saw a soccer game in progress. Stacey and were playing, and Anne was hiding in the corner. \"Paul made me pretend to be sick, \" she whispered. \"He wants to play with Stacey because she's so fast. \" So Anne and I went to get ice cream. Even if I lost Stacey ,I just created a lifelong friendship.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31918\": \"What sport does Anne usually play?\"\n },\n {\n \"31919\": \"What's her last name?\"\n },\n {\n \"31920\": \"What sport is she currently playing?\"\n },\n {\n \"31921\": \"Does she usually lose when she plays basketball?\"\n },\n {\n \"31922\": \"Why is she playing soccer?\"\n },\n {\n \"31923\": \"How many teams are there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31918\",\n \"answer\": \"basketball\"\n },\n {\n \"question_id\": \"31919\",\n \"answer\": \"Sanders\"\n },\n {\n \"question_id\": \"31920\",\n \"answer\": \"soccer\"\n },\n {\n \"question_id\": \"31921\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"31922\",\n \"answer\": \"the gym teacher is doing something different\"\n },\n {\n \"question_id\": \"31923\",\n \"answer\": \"teams of 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 On the farm there was a little piggy named Andy. Andy was very sweet, but he was always dirty. He loved to roll around in the mud. None of the other piggies wanted to play with him. He wished they would be his friends. One day he was going on a walk on the farm. He walked by and saw his favorite big tree. He walked farther than he ever had before. He saw a bunch of pretty flowers. Then he saw something that he had never seen before. It was a river! He ran down to the river, shouting with joy. He got down low in the cool water swam around for a bit. He ran back to the farm where the other piggies were. He was finally clean. They all played games until dinner time. When it was time for dessert the piggies each got a cupcake. Looking at all his new friends, Andy smiled and took a big bite of his tasty treat.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82253\": \"What was Andy?\"\n },\n {\n \"82254\": \"Where did he live?\"\n },\n {\n \"82255\": \"Was he mean?\"\n },\n {\n \"82256\": \"What did he love to do?\"\n },\n {\n \"82257\": \"Did the other piggies like to play with him?\"\n },\n {\n \"82258\": \"What did he wish?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82253\",\n \"answer\": \"a pig\"\n },\n {\n \"question_id\": \"82254\",\n \"answer\": \"On the farm\"\n },\n {\n \"question_id\": \"82255\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82256\",\n \"answer\": \"roll in the mud\"\n },\n {\n \"question_id\": \"82257\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82258\",\n \"answer\": \"they would be friends\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Oscar Pistorius faced another day of relentless cross-examination Friday as the prosecution challenged his account of the killing of his girlfriend, Reeva Steenkamp. \n\nProsecutor Gerrie Nel has accused the athlete of hiding the truth about the death of Steenkamp, whom he shot last year through a closed toilet door in his home in Pretoria, South Africa. \n\nHis questions again sought to undermine Pistorius' reliability and credibility and to portray the Olympic athlete as someone who was inventing his version of events and \"tailoring\" evidence to suit his story. \n\nAs Nel turned once again to the early hours of Valentine's Day 2013, he repeatedly challenged Pistorius over his actions in the moments leading up to Steenkamp's death. \n\nThe prosecution's argument is that Pistorius shot Steenkamp intentionally after a heated argument. Pistorius does not deny shooting her but insists that he mistook her for an intruder. \n\nPistorius said he thought he heard the toilet door opening before he fired. \n\n\"I didn't intend to shoot. My firearm was pointed at the door because that's where I believed that somebody was,\" he said. \"When I heard a noise, I didn't have to think, and I fired -- I fired my weapon. It was an accident.\" \n\nNel, known in South African legal circles for his bulldog-like approach to cross-examination, responded to Pistorius' testimony almost with scorn. \n\n\"Your version is so improbable that nobody would ever think that it was reasonably, possibly true,\" he said. \n\nNel then hammered Pistorius on whether he had known Steenkamp was in the toilet when he fired. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61229\": \"Who was being questioned on Friday?\"\n },\n {\n \"61230\": \"by who?\"\n },\n {\n \"61231\": \"Why?\"\n },\n {\n \"61232\": \"What was he hoping to accomplish with his questions?\"\n },\n {\n \"61233\": \"Was Pistorious in a sport?\"\n },\n {\n \"61234\": \"Who was the girlfriend?\"\n },\n {\n \"61235\": \"How was she killed?\"\n },\n {\n \"61236\": \"Where was he when he shot her?\"\n },\n {\n \"61237\": \"did he intend to?\"\n },\n {\n \"61238\": \"then why did he?\"\n },\n {\n \"61239\": \"does he claim it was an accident?\"\n },\n {\n \"61240\": \"what did he hear before he shot?\"\n },\n {\n \"61241\": \"what kind?\"\n },\n {\n \"61242\": \"was it the noise of the toilet door?\"\n },\n {\n \"61243\": \"What kind of approach is the prosecutor known for?\"\n },\n {\n \"61244\": \"Where?\"\n },\n {\n \"61245\": \"what does he use that approach on?\"\n },\n {\n \"61246\": \"How did he respond to the testimony?\"\n },\n {\n \"61247\": \"why doesn't he think that anyone would believe the story?\"\n },\n {\n \"61248\": \"what time frame did he continue to go back to with questioning?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61229\",\n \"answer\": \"Oscar Pistorius\"\n },\n {\n \"question_id\": \"61230\",\n \"answer\": \"Gerrie Nel\"\n },\n {\n \"question_id\": \"61231\",\n \"answer\": \"about the killing of his girlfriend\"\n },\n {\n \"question_id\": \"61232\",\n \"answer\": \"he sought to undermine Pistorius' reliability\"\n },\n {\n \"question_id\": \"61233\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61234\",\n \"answer\": \"Reeva Steenkamp\"\n },\n {\n \"question_id\": \"61235\",\n \"answer\": \"shot\"\n },\n {\n \"question_id\": \"61236\",\n \"answer\": \"bathroom\"\n },\n {\n \"question_id\": \"61237\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61238\",\n \"answer\": \"he mistook her for an intruder\"\n },\n {\n \"question_id\": \"61239\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61240\",\n \"answer\": \"a noise\"\n },\n {\n \"question_id\": \"61241\",\n \"answer\": \"a noise\"\n },\n {\n \"question_id\": \"61242\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61243\",\n \"answer\": \"bulldog-like\"\n },\n {\n \"question_id\": \"61244\",\n \"answer\": \"South African legal circles\"\n },\n {\n \"question_id\": \"61245\",\n \"answer\": \"cross-examination\"\n },\n {\n \"question_id\": \"61246\",\n \"answer\": \"with scorn\"\n },\n {\n \"question_id\": \"61247\",\n \"answer\": \"it is improbable\"\n },\n {\n \"question_id\": \"61248\",\n \"answer\": \"early hours of Valentine's Day 2013\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n U.S. billionaire Bill Gates went to watch a game of his friend, U.S. teen player Ariel Hsing, at the ExCel Centre while the girl was playing against Chinese Li Xiaoxia. Gates wore an orange jacket and dark blue baseball cap. He sat in the front row of thespectators' stand andapplauded for every point Hsing scored. \"I'm wishing her the best of luck, but the opposite player is really great,\" Gates said. Hsing was in her third match at London 2012. She had already beaten Mexico's Yadira Silva and Luxembourg's Ni Xia Lian. Hsing is known in the U.S. as a close friend with billionaires Warren Buffett and Gates. She is close enough to call them \"Uncle Warren\" and \"Uncle Bill\". Buffett met Hsing when she was only 9. Two years later, he invited her to play against his friends. She has returned several times after that. Earlier this year after winning a position on the U.S. team, she took a few points off Buffett and Gates. When asked whether he has won a point off Hsing, Gates said, \"She beat me when she was nine. She has been nice to me.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91836\": \"Did Bill Gates have a lot of money?\"\n },\n {\n \"91837\": \"Where did bill games watch the match?\"\n },\n {\n \"91838\": \"Who did he go to see compete?\"\n },\n {\n \"91839\": \"What was he wearing?\"\n },\n {\n \"91840\": \"What else?\"\n },\n {\n \"91841\": \"Where did he sit for the match?\"\n },\n {\n \"91842\": \"Did he cheer for his compadre?\"\n },\n {\n \"91843\": \"Did he know the competitor well?\"\n },\n {\n \"91844\": \"How old was the competitor when they were first introduced?\"\n },\n {\n \"91845\": \"How long after was he allowed to compete with Bills companions?\"\n },\n {\n \"91846\": \"Did she go back to compete after that?\"\n },\n {\n \"91847\": \"Was she ever victorious against him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91836\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91837\",\n \"answer\": \"at the ExCel Centre\"\n },\n {\n \"question_id\": \"91838\",\n \"answer\": \"Ariel Hsing and Li Xiaoxia\"\n },\n {\n \"question_id\": \"91839\",\n \"answer\": \"an orange jacket\"\n },\n {\n \"question_id\": \"91840\",\n \"answer\": \"a dark blue baseball cap\"\n },\n {\n \"question_id\": \"91841\",\n \"answer\": \"in the front\"\n },\n {\n \"question_id\": \"91842\",\n \"answer\": \"He applauded\"\n },\n {\n \"question_id\": \"91843\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91844\",\n \"answer\": \"nine\"\n },\n {\n \"question_id\": \"91845\",\n \"answer\": \"Two years later\"\n },\n {\n \"question_id\": \"91846\",\n \"answer\": \"several times\"\n },\n {\n \"question_id\": \"91847\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XV.--The Mark of Cain. \n\nNext morning Barton entered his sitting-room in very high spirits, and took up his letters. He had written to Maitland the night before, saying little but, \"Come home at once. Margaret is found. She is going to be my wife. You can't come too quickly, if you wish to hear of something very much to your advantage.\" A load was off his mind, and he felt as _Romeo_ did just before the bad news about _Juliet_ reached him. \n\nIn this buoyant disposition, Barton opened his letters. The first was in a hand he knew very well--that of a man who had been his fellow-student in Paris and Vienna, and who was now a prosperous young physician. The epistle ran thus: \n\n\"Dear Barton.--I'm off to the West of Ireland, for a fortnight People are pretty fit, as the season has not run far. Most of my patients have not yet systematically overeaten themselves. I want you to do something for me. Martin & Wright, the lawyers, have a queer little bit of medical jurisprudence, about which young Wright, who was at Oriel in our time, asked my opinion. I recommended him to see you, as it is more in your line; and _my_ line will presently be attached to that eminent general practitioner, 'The Blue Doctor.' May he prosper with the Galway salmon! \n\n\"Thine, \n\n\"Alfred Franks.\" \n\n\"Lucky beggar!\" thought Barton to himself, but he was too happy to envy even a man who had a fortnight of salmon-fishing before him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19792\": \"who was the letter from?\"\n },\n {\n \"19793\": \"did Barton recognize the handwriting?\"\n },\n {\n \"19794\": \"how did he know him?\"\n },\n {\n \"19795\": \"where?\"\n },\n {\n \"19796\": \"and what was he now?\"\n },\n {\n \"19797\": \"where is Alfred going to?\"\n },\n {\n \"19798\": \"are his patients fat?\"\n },\n {\n \"19799\": \"what does he say they haven't done?\"\n },\n {\n \"19800\": \"what does he say they are?\"\n },\n {\n \"19801\": \"who has he asked to visit Barton?\"\n },\n {\n \"19802\": \"who was at Oriel?\"\n },\n {\n \"19803\": \"Was Barton happy that morning?\"\n },\n {\n \"19804\": \"who had he sent a letter to?\"\n },\n {\n \"19805\": \"what did he ask him to do immedietly?\"\n },\n {\n \"19806\": \"had he found someone?\"\n },\n {\n \"19807\": \"who?\"\n },\n {\n \"19808\": \"what was his relationship with her?\"\n },\n {\n \"19809\": \"did he have other news for Maitland?\"\n },\n {\n \"19810\": \"was that going to be helpful for maitland?\"\n },\n {\n \"19811\": \"who did Barton feel like?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19792\",\n \"answer\": \"Alfred Franks\"\n },\n {\n \"question_id\": \"19793\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19794\",\n \"answer\": \"his fellow-student\"\n },\n {\n \"question_id\": \"19795\",\n \"answer\": \"Paris and Vienna\"\n },\n {\n \"question_id\": \"19796\",\n \"answer\": \"a physician\"\n },\n {\n \"question_id\": \"19797\",\n \"answer\": \"West of Ireland\"\n },\n {\n \"question_id\": \"19798\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"19799\",\n \"answer\": \"have not yet systematically overeaten themselves\"\n },\n {\n \"question_id\": \"19800\",\n \"answer\": \"are pretty fit\"\n },\n {\n \"question_id\": \"19801\",\n \"answer\": \"Martin & Wright\"\n },\n {\n \"question_id\": \"19802\",\n \"answer\": \"young Wright\"\n },\n {\n \"question_id\": \"19803\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19804\",\n \"answer\": \"Maitland\"\n },\n {\n \"question_id\": \"19805\",\n \"answer\": \"Come home at once\"\n },\n {\n \"question_id\": \"19806\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19807\",\n \"answer\": \"Margaret\"\n },\n {\n \"question_id\": \"19808\",\n \"answer\": \"She is going to be his wife\"\n },\n {\n \"question_id\": \"19809\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19810\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19811\",\n \"answer\": \"Romeo and Juliet\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 White works in an office. He's very busy and has no time to have a good rest. Every evening, when he comes back from his office, he's always tired and wants to go to bed early. But his wife often has a lot of interesting things to tell him after dinner. She doesn't stop talking until she falls asleep . But it's usually too late and Mr White has to get up early in the morning when she is still sleeping. One day Mr White felt terrible and couldn't go to work. He decided to go to see a doctor. Mrs White went to the hospital with him. Before her husband said what was the matter with him, the woman told the doctor all. The doctor wrote out a prescription . When Mrs White took the medicine to the doctor's room, the doctor said to her, \"The bottle of medicine is for your husband and the pills are for you. \" \"For me?\" the woman said in surprise. \"I'm fine. I don't need any medicine!\" \"I don't think so, madam,\" said the doctor. \"They are sleeping pills. Your husband will be all right soon if you take them. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83717\": \"Who is Mr. White married to?\"\n },\n {\n \"83718\": \"is she a quiet person?\"\n },\n {\n \"83719\": \"where does he work?\"\n },\n {\n \"83720\": \"is it a slow office?\"\n },\n {\n \"83721\": \"does he get enough rest?\"\n },\n {\n \"83722\": \"what does he want to do when he gets home?\"\n },\n {\n \"83723\": \"does his wife let him?\"\n },\n {\n \"83724\": \"where did he go the day he didn't go to work?\"\n },\n {\n \"83725\": \"who went with him?\"\n },\n {\n \"83726\": \"Did Mr. White have a chance to speak?\"\n },\n {\n \"83727\": \"why not?\"\n },\n {\n \"83728\": \"Who did she tell?\"\n },\n {\n \"83729\": \"How did the doctor respond?\"\n },\n {\n \"83730\": \"was it just for Mr. White?\"\n },\n {\n \"83731\": \"Who were the pills for?\"\n },\n {\n \"83732\": \"did this make sense to her?\"\n },\n {\n \"83733\": \"Does she feel like she needs the medicine?\"\n },\n {\n \"83734\": \"what kind of pills are they?\"\n },\n {\n \"83735\": \"did the doctor think they will help the husband?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83717\",\n \"answer\": \"Mrs. White\"\n },\n {\n \"question_id\": \"83718\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83719\",\n \"answer\": \"In an office.\"\n },\n {\n \"question_id\": \"83720\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83721\",\n \"answer\": \"Never.\"\n },\n {\n \"question_id\": \"83722\",\n \"answer\": \"Sleep early.\"\n },\n {\n \"question_id\": \"83723\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83724\",\n \"answer\": \"To see a doctor.\"\n },\n {\n \"question_id\": \"83725\",\n \"answer\": \"Mrs. White\"\n },\n {\n \"question_id\": \"83726\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"83727\",\n \"answer\": \"Mrs. White told all.\"\n },\n {\n \"question_id\": \"83728\",\n \"answer\": \"The doctor\"\n },\n {\n \"question_id\": \"83729\",\n \"answer\": \"He wrote a prescription .\"\n },\n {\n \"question_id\": \"83730\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83731\",\n \"answer\": \"Mrs. White\"\n },\n {\n \"question_id\": \"83732\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"83733\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"83734\",\n \"answer\": \"Sleeping pills.\"\n },\n {\n \"question_id\": \"83735\",\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 What's your favorite cartoon? It may be difficult for you to decide. But for pianist Lang Lang, Tom and Jerry is the best one. When Lang was two years old, he saw Tom play the piano. This was his first time to enjoy western music and this experience encouraged him to learn to play the piano. His talent at the keyboard has taken him from Shenyang to the world. Lang became a good piano student at three. Ever since, the boy has been doing better and better. In 1997, the 15-year-old boy studied at a famous American music college. Lang's performances are energetic. He is well-known for making facial expressions and moving around while playing the piano. The road to success has never been easy. Lang's father stopped his job to look after him, while his mother stayed in Shenyang to make money. But Lang thinks himself lucky and believes he should give something back. He has helped the children in poor areas a lot.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68662\": \"Who likes Tom and Jerry best?\"\n },\n {\n \"68663\": \"Where was he from?\"\n },\n {\n \"68664\": \"When did he become talented at piano?\"\n },\n {\n \"68665\": \"Are his shows slow?\"\n },\n {\n \"68666\": \"What are they like?\"\n },\n {\n \"68667\": \"What happens with his face?\"\n },\n {\n \"68668\": \"What did his dad do?\"\n },\n {\n \"68669\": \"What did his mom do?\"\n },\n {\n \"68670\": \"Why?\"\n },\n {\n \"68671\": \"Why does Lang like that cartoon?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68662\",\n \"answer\": \"Lang Lang\"\n },\n {\n \"question_id\": \"68663\",\n \"answer\": \"Shenyang\"\n },\n {\n \"question_id\": \"68664\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"68665\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"68666\",\n \"answer\": \"energetic\"\n },\n {\n \"question_id\": \"68667\",\n \"answer\": \"expressions\"\n },\n {\n \"question_id\": \"68668\",\n \"answer\": \"stopped his job\"\n },\n {\n \"question_id\": \"68669\",\n \"answer\": \"stayed in Shenyang\"\n },\n {\n \"question_id\": \"68670\",\n \"answer\": \"to make money\"\n },\n {\n \"question_id\": \"68671\",\n \"answer\": \"to enjoy western 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 A boy woke up super excited for this special day. He could not contain his excitement knowing that the soccer final was today! He had been working all year long to get to this day. He quickly hopped off his bed and went to eat his breakfast. His mom had made pancakes, waffles, and eggs, but the boy felt like eating cereal. His mom had laid out his soccer clothes and after he was done with his breakfast, he couldn't wait to put them on. He quickly changed into the clothes, and ran to the car where his mom was waiting for him to get in. The ride seemed to take a long time as he was super excited to play. The team was there and they started a small practice before the big game! The game started and the boy was very nervous since the other team looked really good. His team was as good too and they were tied at the end! Everyone either got a trophy or a medal for playing in the game, and the boy got a trophy. It was one of the best times the boy had ever had. The day was starting to get dark and he could feel sprinkles on his hands. His parents asked the boy if he wanted to eat ice cream and pizza after the game. The boy said he was tired and went home with his parents and he could not stop talking about how super fun the game was. He talked and talked and talked and his parents were very proud of him. He talked so much that he fell asleep in the car! His dad carried him into the house and put him in his bed. The boy had such a great day that he dreamed of soccer all night long. The trophy he had been given would let him remember about the fun day he had.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83947\": \"What kind of day was it?\"\n },\n {\n \"83948\": \"Why?\"\n },\n {\n \"83949\": \"Was anyone looking forward to it?\"\n },\n {\n \"83950\": \"whom?\"\n },\n {\n \"83951\": \"Was he on the team?\"\n },\n {\n \"83952\": \"Who had cereal for breakfast?\"\n },\n {\n \"83953\": \"Is that what his mom made him?\"\n },\n {\n \"83954\": \"Did his dad lay out his clothes?\"\n },\n {\n \"83955\": \"who was waiting in the car?\"\n },\n {\n \"83956\": \"How did he feel?\"\n },\n {\n \"83957\": \"Who won the game?\"\n },\n {\n \"83958\": \"Why not?\"\n },\n {\n \"83959\": \"Did he have a bad game?\"\n },\n {\n \"83960\": \"how was the game for him?\"\n },\n {\n \"83961\": \"Did it rain?\"\n },\n {\n \"83962\": \"Did they celebrate anywhere?\"\n },\n {\n \"83963\": \"How?\"\n },\n {\n \"83964\": \"Did he dream of basketball that night?\"\n },\n {\n \"83965\": \"Did he get a prize?\"\n },\n {\n \"83966\": \"When did they go get pizza?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83947\",\n \"answer\": \"a special day.\"\n },\n {\n \"question_id\": \"83948\",\n \"answer\": \"the soccer final was today\"\n },\n {\n \"question_id\": \"83949\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83950\",\n \"answer\": \"A boy\"\n },\n {\n \"question_id\": \"83951\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83952\",\n \"answer\": \"He did\"\n },\n {\n \"question_id\": \"83953\",\n \"answer\": \"His mom had made pancakes, waffles, and eggs\"\n },\n {\n \"question_id\": \"83954\",\n \"answer\": \"His mom did\"\n },\n {\n \"question_id\": \"83955\",\n \"answer\": \"his mom\"\n },\n {\n \"question_id\": \"83956\",\n \"answer\": \"super excited\"\n },\n {\n \"question_id\": \"83957\",\n \"answer\": \"nobody?\"\n },\n {\n \"question_id\": \"83958\",\n \"answer\": \"they tied\"\n },\n {\n \"question_id\": \"83959\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"83960\",\n \"answer\": \"It was one of the besthe ever had.\"\n },\n {\n \"question_id\": \"83961\",\n \"answer\": \"A little sprinkle.\"\n },\n {\n \"question_id\": \"83962\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"83963\",\n \"answer\": \"They had pizza and ice cream.\"\n },\n {\n \"question_id\": \"83964\",\n \"answer\": \"no,soccer\"\n },\n {\n \"question_id\": \"83965\",\n \"answer\": \"a trophy\"\n },\n {\n \"question_id\": \"83966\",\n \"answer\": \"when it was starting to get dark\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. THE FIRST SPARK PASSES \n\n\"Now, gentlemen,\" shouted the auctioneer when he had finished his oration upon the girl's attractions, \"what 'tin I bid? Eight hundred?\" \n\nStephen caught his breath. There was a long pause no one cared to start the bidding. \n\n\"Come, gentlemen, come! There's my friend Alf Jenkins. He knows what she's worth to a cent. What'll you give, Alf? Is it eight hundred?\" \n\nMr. Jenkins winked at the auction joined in the laugh. \n\n\"Three hundred!\" he said. \n\nThe auctioneer was mortally offended. Then some one cried:--\"Three hundred and fifty!\" \n\nIt was young Colfax. He was recognized at once, by name, evidently as a person of importance. \n\n\"Thank you, Mistah Colfax, suh,\" said the auctioneer, with a servile wave of the hand in his direction, while the crowd twisted their necks to see him. He stood very straight, very haughty, as if entirely oblivious to his conspicuous position. \n\n\"Three seventy-five!\" \n\n\"That's better, Mistah Jenkins,\" said the auctioneer, sarcastically. He turned to the girl, who might have stood to a sculptor for a figure of despair. Her hands were folded in front of her, her head bowed down. The auctioneer put his hand under her chin and raised it roughly. \"Cheer up, my gal,\" he said, \"you ain't got nothing to blubber about now.\" \n\nHester's breast heaved and from her black eyes there shot a magnificent look of defiance. He laughed. That was the white blood. \n\nThe white blood! \n\nClarence Colfax had his bid taken from his lips. Above the heads of the people he had a quick vision of a young man with a determined face, whose voice rang clear and strong,-- \"Four hundred!\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93688\": \"Who was the second person to bid?\"\n },\n {\n \"93689\": \"What did he offer?\"\n },\n {\n \"93690\": \"Did that make Jenkins get more serious?\"\n },\n {\n \"93691\": \"What was his new bid?\"\n },\n {\n \"93692\": \"What was his first?\"\n },\n {\n \"93693\": \"Did he act goofy with his first?\"\n },\n {\n \"93694\": \"What did the auctioneer suggest for the first bid?\"\n },\n {\n \"93695\": \"Was there a fourth?\"\n },\n {\n \"93696\": \"from who?\"\n },\n {\n \"93697\": \"Who was getting ready to bid when this new man did?\"\n },\n {\n \"93698\": \"What is being sold?\"\n },\n {\n \"93699\": \"What is her name?\"\n },\n {\n \"93700\": \"Is she scared?\"\n },\n {\n \"93701\": \"How does she feel?\"\n },\n {\n \"93702\": \"What does the auctioneer see that as?\"\n },\n {\n \"93703\": \"How does she show it to him?\"\n },\n {\n \"93704\": \"What kind of look does she give him?\"\n },\n {\n \"93705\": \"Where was she looking before that?\"\n },\n {\n \"93706\": \"where were her hands?\"\n },\n {\n \"93707\": \"Does the auctioneer like the first bid?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93688\",\n \"answer\": \"Colfax\"\n },\n {\n \"question_id\": \"93689\",\n \"answer\": \"Three hundred and fifty\"\n },\n {\n \"question_id\": \"93690\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93691\",\n \"answer\": \"Three seventy-five\"\n },\n {\n \"question_id\": \"93692\",\n \"answer\": \"Three hundred\"\n },\n {\n \"question_id\": \"93693\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93694\",\n \"answer\": \"Eight hundred\"\n },\n {\n \"question_id\": \"93695\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93696\",\n \"answer\": \"a young man with a determined face\"\n },\n {\n \"question_id\": \"93697\",\n \"answer\": \"Clarence Colfax\"\n },\n {\n \"question_id\": \"93698\",\n \"answer\": \"a girl\"\n },\n {\n \"question_id\": \"93699\",\n \"answer\": \"Hester\"\n },\n {\n \"question_id\": \"93700\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93701\",\n \"answer\": \"defiant\"\n },\n {\n \"question_id\": \"93702\",\n \"answer\": \"the white blood.\"\n },\n {\n \"question_id\": \"93703\",\n \"answer\": \"from her black eyes\"\n },\n {\n \"question_id\": \"93704\",\n \"answer\": \"a magnificent look of defiance\"\n },\n {\n \"question_id\": \"93705\",\n \"answer\": \"down\"\n },\n {\n \"question_id\": \"93706\",\n \"answer\": \"folded in front of her\"\n },\n {\n \"question_id\": \"93707\",\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 Shanghai is one of the four direct-controlled municipalities of China and the most populous city proper in the world with a population of more than 24 million . It is a global financial centre and transport hub, with the world's busiest container port. Located in the Yangtze River Delta, it sits on the south edge of the estuary of the Yangtze in the middle portion of the East China coast. The municipality borders the provinces of Jiangsu and Zhejiang to the north, south and west, and is bounded to the east by the East China Sea. \n\nAs a major administrative, shipping and trading city, Shanghai grew in importance in the 19th century due to trade and recognition of its favourable port location and economic potential. The city was one of five treaty ports forced open to foreign trade following the British victory over China in the First Opium War. The subsequent 1842 Treaty of Nanking and 1844 Treaty of Whampoa allowed the establishment of the Shanghai International Settlement and the French Concession. The city then flourished as a centre of commerce between China and other parts of the world (predominantly Western countries), and became the primary financial hub of the Asia-Pacific region in the 1930s. However, with the Communist Party takeover of the mainland in 1949, trade was limited to other socialist countries, and the city's global influence declined. In the 1990s, the economic reforms introduced by Deng Xiaoping resulted in an intense re-development of the city, aiding the return of finance and foreign investment to the city.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"71147\": \"What is next to Shanghai on the east?\"\n },\n {\n \"71148\": \"And one of the provinces on the the other sides?\"\n },\n {\n \"71149\": \"And another?\"\n },\n {\n \"71150\": \"What is its population?\"\n },\n {\n \"71151\": \"What river is close to it?\"\n },\n {\n \"71152\": \"After what event was it open to foreign trade?\"\n },\n {\n \"71153\": \"Were there some treaties after that?\"\n },\n {\n \"71154\": \"What was one of them?\"\n },\n {\n \"71155\": \"And another?\"\n },\n {\n \"71156\": \"When did the Communist Party come in?\"\n },\n {\n \"71157\": \"What happened to international trade then?\"\n },\n {\n \"71158\": \"Did it ever have a resurgence?\"\n },\n {\n \"71159\": \"When?\"\n },\n {\n \"71160\": \"Who was in charge then?\"\n },\n {\n \"71161\": \"In the first place, what was one of the reasons for its growht?\"\n },\n {\n \"71162\": \"How many ports had to open after the Opium War?\"\n },\n {\n \"71163\": \"What did Deng Xiaoping do that let to better trade?\"\n },\n {\n \"71164\": \"Can you name one thing that those two treaties we mentioned allowed?\"\n },\n {\n \"71165\": \"Name another?\"\n },\n {\n \"71166\": \"When did Shanghai become the most important financial center in its area?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"71147\",\n \"answer\": \"East China Sea.\"\n },\n {\n \"question_id\": \"71148\",\n \"answer\": \"Jiangsu\"\n },\n {\n \"question_id\": \"71149\",\n \"answer\": \"Zhejiang\"\n },\n {\n \"question_id\": \"71150\",\n \"answer\": \"more than 24 million\"\n },\n {\n \"question_id\": \"71151\",\n \"answer\": \"Yangtze\"\n },\n {\n \"question_id\": \"71152\",\n \"answer\": \"The British defeated China in the First Opium War\"\n },\n {\n \"question_id\": \"71153\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71154\",\n \"answer\": \"the 1842 Treaty of Nanking\"\n },\n {\n \"question_id\": \"71155\",\n \"answer\": \"1844 Treaty of Whampoa\"\n },\n {\n \"question_id\": \"71156\",\n \"answer\": \"1949\"\n },\n {\n \"question_id\": \"71157\",\n \"answer\": \"it was limited\"\n },\n {\n \"question_id\": \"71158\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"71159\",\n \"answer\": \"in the 1990s\"\n },\n {\n \"question_id\": \"71160\",\n \"answer\": \"Deng Xiaoping\"\n },\n {\n \"question_id\": \"71161\",\n \"answer\": \"it had a favorable port location and economic potential\"\n },\n {\n \"question_id\": \"71162\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"71163\",\n \"answer\": \"economic reforms\"\n },\n {\n \"question_id\": \"71164\",\n \"answer\": \"the establishment of the Shanghai International Settlement\"\n },\n {\n \"question_id\": \"71165\",\n \"answer\": \"the French Concession\"\n },\n {\n \"question_id\": \"71166\",\n \"answer\": \"the 1930s\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Do you want to know something about children in Africa? What to they do for fun every day? Find out here: Education School is expensive for many African children. Lots of families can't afford school uniforms or exercise books even though they don't have to pay for school. For those lucky enough to go to school , they have a lot to learn. Some take two language classes: English or French, and their first language. There is also math, science, history, social studies and geography. _ take up much of children's time after school. They have to get water and firewood for the family every day. Also there's cleaning , washing and helping Mum with the meal. Daily fun It's not all work and no play. Sports are very popular. Children can make goals with twigs ( )and their own footballs with plastic and bits of string ( ). They play in the country and the streets of old towns. There're many football teams for teenagers in Africa. Internet It's really expensive to get on the Internet. To surf the net for 20 hours costs over 600yuan. This is more than the average monthly pay per person. Egypt and South Africa are the top two users of the Internet in Africa. All of the capital cities there can get on the Internet. Some schools offer computer lessons but few students can enjoy computer fun at home.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74502\": \"it school accessible for them\"\n },\n {\n \"74503\": \"why\"\n },\n {\n \"74504\": \"are the options limited\"\n },\n {\n \"74505\": \"is that all they do\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74502\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74503\",\n \"answer\": \"they don't have to pay for school\"\n },\n {\n \"question_id\": \"74504\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"74505\",\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 II SHIPWRECKED \n\nUpon the following morning Nigel Graheme told his visitors that he had determined to accept their offer, and would at once set to work to raise a company. \n\n\"I have,\" he said, \"as you know, a small patrimony of my own, and as for the last eight years I have been living here looking after Malcolm I have been laying by any rents, and can now furnish the arms and accoutrements for a hundred men without difficulty. When Malcolm comes of age he must act for himself, and can raise two or three hundred men if he chooses; but at present he will march in my company. I understand that I have the appointment of my own officers.\" \n\n\"Yes, until you join the regiment,\" Munro said. \"You have the first appointments. Afterwards the colonel will fill up vacancies. You must decide how you will arm your men, for you must know that Gustavus' regiments have their right and left wings composed of musketeers, while the centre is formed of pikemen, so you must decide to which branch your company shall belong.\" \n\n\"I would choose the pike,\" Nigel said, \"for after all it must be by the pike that the battle is decided.\" \n\n\"Quite right, Nigel. I have here with me a drawing of the armour in use with us. You see they have helmets of an acorn shape, with a rim turning up in front; gauntlets, buff coats well padded in front, and large breast plates. The pikes vary from fourteen to eighteen feet long according to the taste of the commander. We generally use about sixteen. If your company is a hundred strong you will have two lieutenants and three ensigns. Be careful in choosing your officers. I will fill in the king's commission to you as captain of the company, authorizing you to enlist men for his service and to appoint officers thereto.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88191\": \"Did Graheme accept their offer\"\n },\n {\n \"88192\": \"was would he dostraight away\"\n },\n {\n \"88193\": \"what is he going to raise?\"\n },\n {\n \"88194\": \"how long ha she looked after Malcom?\"\n },\n {\n \"88195\": \"has he been living elsewhere?\"\n },\n {\n \"88196\": \"what money has he been saving?\"\n },\n {\n \"88197\": \"what can he afford now?\"\n },\n {\n \"88198\": \"and?\"\n },\n {\n \"88199\": \"for how many men?\"\n },\n {\n \"88200\": \"how many can Malcom afford when he's old enough?\"\n },\n {\n \"88201\": \"who's compnay will he march in?\"\n },\n {\n \"88202\": \"who picks the officers?\"\n },\n {\n \"88203\": \"until when?\"\n },\n {\n \"88204\": \"who was talking?\"\n },\n {\n \"88205\": \"who;ll appoint the rest?\"\n },\n {\n \"88206\": \"What else must he decide?\"\n },\n {\n \"88207\": \"what are the wings of the oposition armed with?\"\n },\n {\n \"88208\": \"who's regiment is that?\"\n },\n {\n \"88209\": \"what's the middle armed with?\"\n },\n {\n \"88210\": \"Did his visiter agree?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"88191\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88192\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"88193\",\n \"answer\": \"a small patrimony\"\n },\n {\n \"question_id\": \"88194\",\n \"answer\": \"eight years\"\n },\n {\n \"question_id\": \"88195\",\n \"answer\": \"he's been there eight years\"\n },\n {\n \"question_id\": \"88196\",\n \"answer\": \"laying by any rents\"\n },\n {\n \"question_id\": \"88197\",\n \"answer\": \"arms\"\n },\n {\n \"question_id\": \"88198\",\n \"answer\": \"accoutrements\"\n },\n {\n \"question_id\": \"88199\",\n \"answer\": \"a hundred men\"\n },\n {\n \"question_id\": \"88200\",\n \"answer\": \"two or three hundred men\"\n },\n {\n \"question_id\": \"88201\",\n \"answer\": \"Nigel's\"\n },\n {\n \"question_id\": \"88202\",\n \"answer\": \"Nigel\"\n },\n {\n \"question_id\": \"88203\",\n \"answer\": \"he joins the regiment,\"\n },\n {\n \"question_id\": \"88204\",\n \"answer\": \"Munro\"\n },\n {\n \"question_id\": \"88205\",\n \"answer\": \"the colonel\"\n },\n {\n \"question_id\": \"88206\",\n \"answer\": \"how he will arm his men\"\n },\n {\n \"question_id\": \"88207\",\n \"answer\": \"musketeers\"\n },\n {\n \"question_id\": \"88208\",\n \"answer\": \"Gustavus\"\n },\n {\n \"question_id\": \"88209\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"88210\",\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) -- Here's something shocking. \n\nDemocrats and Republicans totally disagree about the significance of the GOP's victory in the first major competitive congressional ballot box test of 2014. \n\nRepublican candidate David Jolly narrowly edged out Democrat Alex Sink to win Tuesday's special election in Florida's 13th Congressional District. Jolly will fill out the term of his former boss, longtime Republican Rep. Bill Young, who died in October. \n\nRepublicans win first election showdown of the year \n\nThe race was consistently in the spotlight with national Republicans framing the election as a referendum on Obamacare. They injected a massive infusion of outside ad money into the race and some pundits cast the election as a possible bellwether for November's midterms. \n\n\"I think this was a referendum on (President Barack Obama's) policies and on Obamacare, that played out significantly to the disadvantage of (House Democratic Leader) Nancy Pelosi. And I think it sets the tone for what's coming in the fall,\" Rep. Greg Walden of Oregon, the chairman of the National Republican Congressional Committee, told CNN Wednesday. \n\n\"We've been trying to tell people this is a referendum election, Obamacare is not helping people the way it was promised, and Democrats are going to have a lot of answering to do,\" Walden added. \n\nBut his counterpart at the Democratic Congressional Campaign Committee sees very little predictive value in the results. \n\n\"Special elections are not indicators of the future. They never have been. They never will be. And certainly this is not an indicator of the future,\" Rep. Steve Israel, the DCCC chairman, told reporters. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57977\": \"Who won Florida's 13th Congressional District?\"\n },\n {\n \"57978\": \"Of what politcal party?\"\n },\n {\n \"57979\": \"Against?\"\n },\n {\n \"57980\": \"On which day of the week?\"\n },\n {\n \"57981\": \"Who's chair was to be filled?\"\n },\n {\n \"57982\": \"What happened to him?\"\n },\n {\n \"57983\": \"In what month?\"\n },\n {\n \"57984\": \"Which election win for the right was this?\"\n },\n {\n \"57985\": \"What was there a massive infusion of?\"\n },\n {\n \"57986\": \"From where?\"\n },\n {\n \"57987\": \"Outside what?\"\n },\n {\n \"57988\": \"Who was the House Democratic Leader?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57977\",\n \"answer\": \"David Jolly\"\n },\n {\n \"question_id\": \"57978\",\n \"answer\": \"Republican\"\n },\n {\n \"question_id\": \"57979\",\n \"answer\": \"Alex Sink\"\n },\n {\n \"question_id\": \"57980\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"57981\",\n \"answer\": \"Bill Young\"\n },\n {\n \"question_id\": \"57982\",\n \"answer\": \"He died\"\n },\n {\n \"question_id\": \"57983\",\n \"answer\": \"October\"\n },\n {\n \"question_id\": \"57984\",\n \"answer\": \"the first\"\n },\n {\n \"question_id\": \"57985\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"57986\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"57987\",\n \"answer\": \"ad money\"\n },\n {\n \"question_id\": \"57988\",\n \"answer\": \"Nancy Pelosi\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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--A morning's train ride away, across the Channel, English kids talk about Liverpool's soccer team in aprefix = st1 /Parispub. Some Parisians have even started to go to work in London. In the 19thcentury, Charles Dickens compared the two great rival cities, London and Paris, in \"A Tale of Two Cities.\" These days, it might be A Tale of One City. Parisians are these days likely to smile in sympathy at a visitor's broken French and respond in polite English. As jobs grew lack at home over recent years, perhaps 250,000 Frenchmen moved across the Channel. With an undersea tunnel, they could travel between cities in three hours. The European Union freed them from immigration and customs. Paris, rich in beauty, is more attractive. But Londonfeels more full of life, and more fun until the pubs shut down. \"For me, the difference is that Londonis real, alive,\" said Trevor Wheeler, a banker. Chantal Jaouen, a professional designer, agrees. \"I am French, but I'll stay in London,\" she said. There is, of course, the other view. Julie Lenoux is a student who moved to Londontwo years ago. \"I think people laugh more inParis,\" she said. In fact, London and Paris, with their obvious new similarities, are beyond the cold descriptions. As the European Union gradually loosened controls, Londoners _ intoParisto shop, eat and buy property. \"Both cities have changed beyond recognition.\" Said Larry Collins, a writer and sometimes a Londoner. Like most people who know both well, he finds the two now fit together comfortably. \"I first fell in love with Parisin the 1950s, and it is still a wonderful place,\" Collins said. \"But if I had to choose, it would be London. Things are so much more ordered, and life is better.\" But certainly not cheaper. In fancy parts of London, rents can be twice those on Avenue Foch in Paris. Deciding between London and Parisrequires a lifestyle choice. Like Daphne Benoit, a French journalism student with perfect English, many young people are happy to be close enough so they don't have to choose. \"I love Paris, my little neighborhood, the way I can walk around a centre, but life is so structured,\" she said. \"InLondon, you can be who you want. No one cares.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2243\": \"How long does it take to take the tunnel between Paris and London?\"\n },\n {\n \"2244\": \"Does one need to go through customs when traveling between the two?\"\n },\n {\n \"2245\": \"Does the tunnel go through the Alps?\"\n },\n {\n \"2246\": \"What are bars known as in London?\"\n },\n {\n \"2247\": \"Does Chantal Jaouen prefer London or Paris?\"\n },\n {\n \"2248\": \"What is Trevor Wheeler's occupation?\"\n },\n {\n \"2249\": \"Does everyone agree that London is preferred?\"\n },\n {\n \"2250\": \"Who has a different opinion?\"\n },\n {\n \"2251\": \"Is she a soccer player?\"\n },\n {\n \"2252\": \"Why does she like Paris more?\"\n },\n {\n \"2253\": \"Does she live in Paris?\"\n },\n {\n \"2254\": \"Can you purchase property in Paris if you're not French?\"\n },\n {\n \"2255\": \"What does Larry Collins do for a living?\"\n },\n {\n \"2256\": \"Has he been going to Paris for a long time?\"\n },\n {\n \"2257\": \"Does he believe Paris has more order than London?\"\n },\n {\n \"2258\": \"If money were an issue, where would be better in your opinion?\"\n },\n {\n \"2259\": \"Would Avenue Foch be half the cost of a fancy London neighborhood?\"\n },\n {\n \"2260\": \"What languages can Daphne Benoit speak?\"\n },\n {\n \"2261\": \"Which author wrote a novel with Paris and London as the backdrop?\"\n },\n {\n \"2262\": \"What was the book?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2243\",\n \"answer\": \"three hours\"\n },\n {\n \"question_id\": \"2244\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2245\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2246\",\n \"answer\": \"pubs\"\n },\n {\n \"question_id\": \"2247\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"2248\",\n \"answer\": \"banker\"\n },\n {\n \"question_id\": \"2249\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2250\",\n \"answer\": \"Julie Lenoux\"\n },\n {\n \"question_id\": \"2251\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2252\",\n \"answer\": \"She said \\\"I think people laugh more inParis,\\\"\"\n },\n {\n \"question_id\": \"2253\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2254\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2255\",\n \"answer\": \"He is a writer\"\n },\n {\n \"question_id\": \"2256\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2257\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"2258\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"2259\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2260\",\n \"answer\": \"French and English\"\n },\n {\n \"question_id\": \"2261\",\n \"answer\": \"Charles Dickens\"\n },\n {\n \"question_id\": \"2262\",\n \"answer\": \"\\\"A Tale of Two Cities.\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 A modern-day love story of a man seeing the girl of his dreams across a New York subway train and tracking her down over the Internet has failed to have a fairytale ending with the relationship over. \n\nFor Web designer Patrick Moberg, then 21, from Brooklyn, it was love at first sight when he saw a woman on a Manthttan train last November. But he lost her in the crowd so he set up a website with a sketch picture to find her--www.Nygirlofmydreams.com. \n\nUnbelievably in a city of 8 million people, it only took Moberg 48 hours to find the woman, with his phone ringing non-stop and email box overflowing. New Yorkers took pity on the subway Romeo and joined his hunt. \n\nThe mysterious girl was named as Camille Hayton, from Melbourne, Australia, who was working at the magazine Black Book and also lived in Brooklyn. One of her friends saw the sketched picture on the Web site and recognized her. \n\nBut after finding each other, appearing on TV and getting international press, the couple took their romance out of the public eye, with Moberg closing down the Web site and with both refusing to make any more comments--until now. \n\nHayton told Australian newspaper The Sunday Telegraph that she dated Moberg for about two months but it just didn't work out. \n\n\"I say we dated for a while but now we're just friends,\" Hayton, now 23, told the newspaper. Hayton said she is still recognized about three times a week on the streets of Manhattan as \"that girl\" and the question is always the same: \"So what happened?\" \n\n\"I think the situation was so intense that it linked us,\" she said, adding, \"it linked us in a way that you could mistake, I guess, for being more romantic than it was. I don't know. But I wanted to give it a go so didn't wonder what if, what if?\" \n\nHayton told The Sunday Telegraph that she is enjoying single life in New York, keeping busy with acting classes, working in two clothing stores. Last week she had a small role as a waitress in the long-running daytime soap As the World Turns. \n\n\"I just can't believe it happened. It feels like a long time ago,\" said Hayton. Moberg, however, was still refusing to comment on the relationship.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2430\": \"What is Patrick's profession?\"\n },\n {\n \"2431\": \"How did the relationship end?\"\n },\n {\n \"2432\": \"How long did they date before breaking up?\"\n },\n {\n \"2433\": \"What soap opera did Camille get a role on?\"\n },\n {\n \"2434\": \"Do people still recognize her?\"\n },\n {\n \"2435\": \"What do they want to know?\"\n },\n {\n \"2436\": \"Why did people misinterpret their relationship as being romantic?\"\n },\n {\n \"2437\": \"Is Camille ready to talk about the relationship yet?\"\n },\n {\n \"2438\": \"Where did Patrick first lay eyes on her?\"\n },\n {\n \"2439\": \"Where was the train?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2430\",\n \"answer\": \"Web designer\"\n },\n {\n \"question_id\": \"2431\",\n \"answer\": \"it just didn't work out\"\n },\n {\n \"question_id\": \"2432\",\n \"answer\": \"about two months\"\n },\n {\n \"question_id\": \"2433\",\n \"answer\": \"As the World Turns\"\n },\n {\n \"question_id\": \"2434\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"2435\",\n \"answer\": \"what happened to them\"\n },\n {\n \"question_id\": \"2436\",\n \"answer\": \"the sutuation linked them in a way that you could mistake for romantic\"\n },\n {\n \"question_id\": \"2437\",\n \"answer\": \"yea\"\n },\n {\n \"question_id\": \"2438\",\n \"answer\": \"on a train\"\n },\n {\n \"question_id\": \"2439\",\n \"answer\": \"Manthttan\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE TREASURE \n\nThe next morning Harry said: \n\n\"I will go upstairs to that look-out place again. I have been up there pretty nearly every day, and stared down. I can't get it out of my mind that the key of the mystery lies there, and that that hole was made for some other purpose than merely throwing stones out on to any of those who might go in behind the rocks. I have puzzled and worried over it.\" \n\n\"Shall I come up with you, Harry?\" \n\n\"No, I would rather you didn't. I will go up by myself and spend the morning there; some idea may occur to me. You may as well all have a quiet day of it.\" \n\nHe lit his pipe and went upstairs. José went off to the mules, and Bertie descended the ladder, and strolled round what they called the courtyard, looking for eggs among the rocks and in the tufts of grass growing higher up. Dias scattered a few handfuls of maize to the chickens and then assisted Maria to catch two of them; after which he descended the ladder and sat down gloomily upon a stone. He had become more and more depressed in spirits as the search became daily more hopeless; and although he worked as hard as anyone, he seldom spoke, while Harry and his brother often joked, and showed no outward signs of disappointment. An hour passed, and then Harry appeared suddenly at the window. \n\n\"Bertie, Dias, come up at once, I have an idea!\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"513\": \"what lies at the look out place?\"\n },\n {\n \"514\": \"who thinks this?\"\n },\n {\n \"515\": \"when was he to go there?\"\n },\n {\n \"516\": \"alone?\"\n },\n {\n \"517\": \"did anyone offer to go with him?\"\n },\n {\n \"518\": \"what did he do before he went there?\"\n },\n {\n \"519\": \"How did Dias feel?\"\n },\n {\n \"520\": \"why?\"\n },\n {\n \"521\": \"Where did BErtie go?\"\n },\n {\n \"522\": \"why?\"\n },\n {\n \"523\": \"where?\"\n },\n {\n \"524\": \"Did she try to catch some bugs?\"\n },\n {\n \"525\": \"what did she try to catch?\"\n },\n {\n \"526\": \"How did Harry seem to feel about the search\"\n },\n {\n \"527\": \"Did he feel anything about the hole?\"\n },\n {\n \"528\": \"Did Harry have any siblings?\"\n },\n {\n \"529\": \"How did they interact?\"\n },\n {\n \"530\": \"Did they seem upset at all?\"\n },\n {\n \"531\": \"Did Dias joke with them?\"\n },\n {\n \"532\": \"Did Harry come up with anything while upstairs?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"513\",\n \"answer\": \"The key of the mystery.\"\n },\n {\n \"question_id\": \"514\",\n \"answer\": \"Harry.\"\n },\n {\n \"question_id\": \"515\",\n \"answer\": \"The morning.\"\n },\n {\n \"question_id\": \"516\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"517\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"518\",\n \"answer\": \"Lit his pipe and went upstaairs.\"\n },\n {\n \"question_id\": \"519\",\n \"answer\": \"Gloomy.\"\n },\n {\n \"question_id\": \"520\",\n \"answer\": \"He was depressed because the search seemed hopeless.\"\n },\n {\n \"question_id\": \"521\",\n \"answer\": \"The courtyard\"\n },\n {\n \"question_id\": \"522\",\n \"answer\": \"To look for eggs.\"\n },\n {\n \"question_id\": \"523\",\n \"answer\": \"Among the rocks and grass.\"\n },\n {\n \"question_id\": \"524\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"525\",\n \"answer\": \"Chickens\"\n },\n {\n \"question_id\": \"526\",\n \"answer\": \"Puzzled and worried.\"\n },\n {\n \"question_id\": \"527\",\n \"answer\": \"That it had some other purpose than throwing stones in it.\"\n },\n {\n \"question_id\": \"528\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"529\",\n \"answer\": \"They often joked.\"\n },\n {\n \"question_id\": \"530\",\n \"answer\": \"There were no signs of disappointment.\"\n },\n {\n \"question_id\": \"531\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"532\",\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 Nick Vujicic was born with no arms or legs, but he doesn't let this stop him. \n\nThe brave 26-year-old man plays football and golf, and swims, in spite of the fact that he has no arms or legs. \n\nNick has a small foot on his left side, which helps him balance and makes him able to kick. He uses his one foot to type, write with a pen and pick things up. \n\n\"I call it my chicken drumstick ,\" joked Nick, who was born in Melbourne, Australia, but now lives in Los Angeles. \"I'd be lost without it. When I get in the water I float because 80 percent of my body is lungs and my drumstick acts as a propeller .\" \n\n\"He's very modest, but he gets marriage proposals from women all the time,\" said Nick's friend Steve Appel. \n\n\"He would love to get married and start a family, but he's waiting for the right girl to come along.\" \n\nWhen Nick was born his father was so shocked that he left the hospital room. His _ mother couldn't bring herself to hold him until he was four months old. \n\nHis disability came without any medical explanation, which was a rare case. Nick and his parents spent many years asking why this cruel trick would happen to them. \n\n\"My mother was a nurse and she did everything right during pregnancy but she still blamed herself,\" he said. \n\n\"It was so hard for them, but right from the start they did their best to make me independent. My dad put me in the water at 18 months and gave me the courage to learn how to swim.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74729\": \"Does he play any sports?\"\n },\n {\n \"74730\": \"Which sports?\"\n },\n {\n \"74731\": \"Can he pick things up?\"\n },\n {\n \"74732\": \"What's his friend's name?\"\n },\n {\n \"74733\": \"Why is he disabled?\"\n },\n {\n \"74734\": \"Does he want a family?\"\n },\n {\n \"74735\": \"Was it hard for his parents?\"\n },\n {\n \"74736\": \"Did they start him in sports early?\"\n },\n {\n \"74737\": \"How old was he?\"\n },\n {\n \"74738\": \"Who helped him learn to swim?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74729\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74730\",\n \"answer\": \"football, golf, and swimming\"\n },\n {\n \"question_id\": \"74731\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74732\",\n \"answer\": \"Steve Appel.\"\n },\n {\n \"question_id\": \"74733\",\n \"answer\": \"Nick Vujicic was born with no arms or legs\"\n },\n {\n \"question_id\": \"74734\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74735\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74736\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74737\",\n \"answer\": \"18 months\"\n },\n {\n \"question_id\": \"74738\",\n \"answer\": \"his dad\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (RollingStone) -- Just one week after being released from prison, Lil Wayne has already finished a new song and is ready to put it out. \n\n\"We're trying to put it out, like, tomorrow,\" Cortez Bryant, Wayne's manager, told Rolling Stone. \"We got a crazy song. If not tomorrow, definitely next week.\" \n\nPhotos: Lil Wayne returns to the stage with Drake \n\nAfter spending a few days celebrating, visiting with family and joining Drake onstage in Las Vegas, Wayne settled into Miami's Hit Factory studio early Tuesday. Mack Maine, president of Wayne's Young Money label, tweeted, \"It's official Wayne laid his 1st verse!!!! Torture!!!!\" \n\nTimeline: The criminal history of Lil Wayne \n\nVideographer/DJ Scoob Doo, who was at the session, told MTV News, \"Wayne picked up right where he left off with a 15-hour recording session of nonstop work.\" He also tweeted a competition, offering a prize to anyone who could guess how many songs Wayne recorded during the session. \n\nCopyright © 2010 Rolling Stone. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84366\": \"Which artist is the story about?\"\n },\n {\n \"84367\": \"What did he do?\"\n },\n {\n \"84368\": \"Is it ready for release?\"\n },\n {\n \"84369\": \"What's special about that?\"\n },\n {\n \"84370\": \"When will the song be released?\"\n },\n {\n \"84371\": \"For sure?\"\n },\n {\n \"84372\": \"What happens if it's not released tomorrow?\"\n },\n {\n \"84373\": \"What did Lil Wayne do after getting out of jail?\"\n },\n {\n \"84374\": \"anything else?\"\n },\n {\n \"84375\": \"He did perform?\"\n },\n {\n \"84376\": \"Alone?\"\n },\n {\n \"84377\": \"Who did he perform with?\"\n },\n {\n \"84378\": \"Where?\"\n },\n {\n \"84379\": \"When did he start recording the new song?\"\n },\n {\n \"84380\": \"Where?\"\n },\n {\n \"84381\": \"What city is the studio in?\"\n },\n {\n \"84382\": \"How long was he recording for?\"\n },\n {\n \"84383\": \"Who reported on the session?\"\n },\n {\n \"84384\": \"What is Maine's job?\"\n },\n {\n \"84385\": \"What's the name of the label?\"\n },\n {\n \"84386\": \"What's Scoob Doo do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84366\",\n \"answer\": \"Lil Wayne\"\n },\n {\n \"question_id\": \"84367\",\n \"answer\": \"he finished a new song\"\n },\n {\n \"question_id\": \"84368\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84369\",\n \"answer\": \"He was just released from prison\"\n },\n {\n \"question_id\": \"84370\",\n \"answer\": \"Tomorrow\"\n },\n {\n \"question_id\": \"84371\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"84372\",\n \"answer\": \"It will be released next week\"\n },\n {\n \"question_id\": \"84373\",\n \"answer\": \"celebrating\"\n },\n {\n \"question_id\": \"84374\",\n \"answer\": \"visiting with family\"\n },\n {\n \"question_id\": \"84375\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"84376\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"84377\",\n \"answer\": \"Drake\"\n },\n {\n \"question_id\": \"84378\",\n \"answer\": \"Las Vegas\"\n },\n {\n \"question_id\": \"84379\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"84380\",\n \"answer\": \"Hit Factory studio\"\n },\n {\n \"question_id\": \"84381\",\n \"answer\": \"Miami\"\n },\n {\n \"question_id\": \"84382\",\n \"answer\": \"15 hours\"\n },\n {\n \"question_id\": \"84383\",\n \"answer\": \"Mack Maine and Scoob Doo\"\n },\n {\n \"question_id\": \"84384\",\n \"answer\": \"president of Wayne's label\"\n },\n {\n \"question_id\": \"84385\",\n \"answer\": \"Young Money\"\n },\n {\n \"question_id\": \"84386\",\n \"answer\": \"Videographer and DJ\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- \"L.A. Law\" had buzz right from the moment it premiered in 1986. \n\nCo-created by Steven Bochco, hot off his success with \"Hill Street Blues,\" the series was set at the high-priced Los Angeles law firm of McKenzie, Brackman, Chaney and Kuzak. \n\nThe cast was glossy and diverse, including Jimmy Smits, Blair Underwood, Jill Eikenberry, Michael Tucker, Susan Dey, Richard Dysart, Alan Rachins and Corbin Bernsen. \n\nMost of all, it pushed the boundaries of the legal show the way \"Hill Street\" did with cop shows. \n\n\"L.A. Law's\" principals argued cases involving rape, capital punishment, big business, child molestation, AIDS and medical malpractice at a time when such subjects were seldom mentioned on prime-time television, and certainly not in such detail. This was no \"Perry Mason,\" or even \"The Defenders.\" \n\nBochco being Bochco, the hard stuff was paired with moments of silly humor and steamy sex (or silly sex and steamy humor), making for a high-wire balance of drama and comedy. \n\nOne first-season episode got people talking about a fictional sex act called the \"Venus Butterfly\"; later, the show actually killed off a character by dropping her down an elevator shaft. \n\nThe big hair and big-shouldered suits of the '80s may be gone, but the show remains influential. David E. Kelley, a real-life lawyer who later created \"Picket Fences,\" \"The Practice\" and \"Ally McBeal,\" got his television start as a writer on \"L.A. Law.\" \n\nThe show's first season is finally out on DVD, with the second expected to follow in a few months. CNN spoke to Smits, now a star of \"Sons of Anarchy\" who played idealistic Hispanic attorney Victor Sifuentes, and Alan Rachins, who played bottom-line-oriented partner Douglas Brackman Jr. and later starred on \"Dharma and Greg,\" about the show and its impact. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40687\": \"what are some of the topics of cases argued on L.A. Law?\"\n },\n {\n \"40688\": \"what was the show a balance of?\"\n },\n {\n \"40689\": \"is it available on DVD?\"\n },\n {\n \"40690\": \"when did it premiere?\"\n },\n {\n \"40691\": \"who is one of the creators?\"\n },\n {\n \"40692\": \"what other show did he create?\"\n },\n {\n \"40693\": \"who were a couple of the cast members?\"\n },\n {\n \"40694\": \"what was the name of the law firm on the show?\"\n },\n {\n \"40695\": \"did the show push boundaries?\"\n },\n {\n \"40696\": \"how did one of the characters on the show die?\"\n },\n {\n \"40697\": \"when is the second season available on DVD?\"\n },\n {\n \"40698\": \"who did Jimmy Smits play on the show?\"\n },\n {\n \"40699\": \"and what show is he on now?\"\n },\n {\n \"40700\": \"who played Douglas Brackman Jr.?\"\n },\n {\n \"40701\": \"where did he end up?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40687\",\n \"answer\": \"rape, capital punishment, big business\"\n },\n {\n \"question_id\": \"40688\",\n \"answer\": \"drama and comedy\"\n },\n {\n \"question_id\": \"40689\",\n \"answer\": \"the first season is\"\n },\n {\n \"question_id\": \"40690\",\n \"answer\": \"1986\"\n },\n {\n \"question_id\": \"40691\",\n \"answer\": \"Steven Bochco\"\n },\n {\n \"question_id\": \"40692\",\n \"answer\": \"\\\"Hill Street Blues\\\"\"\n },\n {\n \"question_id\": \"40693\",\n \"answer\": \"Jimmy Smits, Blair Underwood, Jill Eikenberry, Michael Tucker\"\n },\n {\n \"question_id\": \"40694\",\n \"answer\": \"McKenzie, Brackman, Chaney and Kuzak\"\n },\n {\n \"question_id\": \"40695\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"40696\",\n \"answer\": \"she fell down an elevator shaft\"\n },\n {\n \"question_id\": \"40697\",\n \"answer\": \"in a few months\"\n },\n {\n \"question_id\": \"40698\",\n \"answer\": \"Victor Sifuentes\"\n },\n {\n \"question_id\": \"40699\",\n \"answer\": \"\\\"Sons of Anarchy\\\"\"\n },\n {\n \"question_id\": \"40700\",\n \"answer\": \"Alan Rachins\"\n },\n {\n \"question_id\": \"40701\",\n \"answer\": \"\\\"Dharma and Greg\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER SEVEN. \n\nA LEARNED SQUABBLE. \n\nBartolommeo Scala, secretary of the Florentine Republic, on whom Tito Melema had been thus led to anchor his hopes, lived in a handsome palace close to the Porta Pinti, now known as the Casa Gherardesca. His arms-- an azure ladder transverse on a golden field, with the motto _Gradatim_ placed over the entrance--told all comers that the miller's son held his ascent to honours by his own efforts a fact to be proclaimed without wincing. The secretary was a vain and pompous man, but he was also an honest one: he was sincerely convinced of his own merit, and could see no reason for feigning. The topmost round of his azure ladder had been reached by this time: he had held his secretaryship these twenty years-- had long since made his orations on the _ringhiera_, or platform of the Old Palace, as the custom was, in the presence of princely visitors, while Marzocco, the republican lion, wore his gold crown on the occasion, and all the people cried, \"Viva Messer Bartolommeo!\"--had been on an embassy to Rome, and had there been made titular Senator, Apostolical Secretary, Knight of the Golden Spur; and had, eight years ago, been Gonfaloniere--last goal of the Florentine citizen's ambition. Meantime he had got richer and richer, and more and more gouty, after the manner of successful mortality; and the Knight of the Golden Spur had often to sit with helpless cushioned heel under the handsome loggia he had built for himself, overlooking the spacious gardens and lawn at the back of his palace. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"4656\": \"Was the secretary a humble man?\"\n },\n {\n \"4657\": \"What kind of man was he?\"\n },\n {\n \"4658\": \"Was his palace ugly?\"\n },\n {\n \"4659\": \"What was the name of it?\"\n },\n {\n \"4660\": \"What did his parent do for a living?\"\n },\n {\n \"4661\": \"How did he make it to where is is now?\"\n },\n {\n \"4662\": \"Was he proud of this achievement?\"\n },\n {\n \"4663\": \"What type of medical problem did he have?\"\n },\n {\n \"4664\": \"What part of him did the gout affect?\"\n },\n {\n \"4665\": \"What color was the ladder at the palace entrance?\"\n },\n {\n \"4666\": \"What did it say on the ladder?\"\n },\n {\n \"4667\": \"Did he hold backing bragging about his success?\"\n },\n {\n \"4668\": \"How long had he been the secretary?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"4656\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4657\",\n \"answer\": \"a vain and pompous man\"\n },\n {\n \"question_id\": \"4658\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4659\",\n \"answer\": \"the Casa Gherardesca\"\n },\n {\n \"question_id\": \"4660\",\n \"answer\": \"a miller\"\n },\n {\n \"question_id\": \"4661\",\n \"answer\": \"his own merit\"\n },\n {\n \"question_id\": \"4662\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"4663\",\n \"answer\": \"gout\"\n },\n {\n \"question_id\": \"4664\",\n \"answer\": \"his heel\"\n },\n {\n \"question_id\": \"4665\",\n \"answer\": \"azure\"\n },\n {\n \"question_id\": \"4666\",\n \"answer\": \"Gradatim\"\n },\n {\n \"question_id\": \"4667\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"4668\",\n \"answer\": \"twenty years\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXXV \n\nThe Prince crossed the hall and entered the morning-room. Felix was there and Raoul de Brouillac. The Duchess sat at her writing-table, scribbling a note. Lady Carey, in a wonderful white serge costume, and a huge bunch of Neapolitan violets at her bosom, was lounging in an easy-chair, swinging her foot backwards and forwards. The Duke, in a very old tweed coat, but immaculate as to linen and the details of his toilet, stood a little apart, with a frown upon his forehead, and exactly that absorbed air which in the House of Lords usually indicated his intention to make a speech. The entrance of the Prince, who carefully closed the door behind him, was an event for which evidently they were all waiting. \n\n\"My good people,\" he said blandly, \"I wish you all a very good-morning.\" \n\nThere was a little murmur of greetings, and before they had all subsided the Duke spoke. \n\n\"Saxe Leinitzer,\" he said, \"I have a few questions to ask you.\" \n\nThe Prince looked across the room at him. \n\n\"By all means, Duke,\" he said. \"But is the present an opportune time?\" \n\n\"Opportune or no, it is the time which I have selected,\" the Duke answered stiffly. \"I do not altogether understand what is going on in this house. I am beginning to wonder whether I have been misled.\" \n\nThe Prince, as he twirled his fair moustache, glanced carelessly enough across at the Duchess. She was looking the other way. \n\n\"I became a--er--general member of this Society,\" the Duke continued, \"sympathising heartily with its objects as explained to me by you, Prince, and believing, although to confess it is somewhat of a humiliation, that a certain amount of--er--combination amongst the aristocracy has become necessary to resist the terrible increase of Socialism which we must all so much deplore.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61286\": \"What room are they in?\"\n },\n {\n \"61287\": \"who was there?\"\n },\n {\n \"61288\": \"who else?\"\n },\n {\n \"61289\": \"And?\"\n },\n {\n \"61290\": \"Who else?\"\n },\n {\n \"61291\": \"what was she doing?\"\n },\n {\n \"61292\": \"Where was she doing this.\"\n },\n {\n \"61293\": \"Who else was here?\"\n },\n {\n \"61294\": \"What was she wearing?\"\n },\n {\n \"61295\": \"What else?\"\n },\n {\n \"61296\": \"where was she?\"\n },\n {\n \"61297\": \"doing what?\"\n },\n {\n \"61298\": \"Who is the prince questioning?\"\n },\n {\n \"61299\": \"Did he agree to the questioning?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61286\",\n \"answer\": \"morning-room\"\n },\n {\n \"question_id\": \"61287\",\n \"answer\": \"The Princ\"\n },\n {\n \"question_id\": \"61288\",\n \"answer\": \"Felix\"\n },\n {\n \"question_id\": \"61289\",\n \"answer\": \"Raoul de Brouillac\"\n },\n {\n \"question_id\": \"61290\",\n \"answer\": \"The Duchess\"\n },\n {\n \"question_id\": \"61291\",\n \"answer\": \"scribbling\"\n },\n {\n \"question_id\": \"61292\",\n \"answer\": \"writing-table\"\n },\n {\n \"question_id\": \"61293\",\n \"answer\": \"Lady Carey\"\n },\n {\n \"question_id\": \"61294\",\n \"answer\": \"white serge\"\n },\n {\n \"question_id\": \"61295\",\n \"answer\": \"huge bunch of Neapolitan violets\"\n },\n {\n \"question_id\": \"61296\",\n \"answer\": \"n an easy-chair\"\n },\n {\n \"question_id\": \"61297\",\n \"answer\": \"winging her foot\"\n },\n {\n \"question_id\": \"61298\",\n \"answer\": \"Saxe Leinitzer\"\n },\n {\n \"question_id\": \"61299\",\n \"answer\": \"no\"\n }\n]\n" } ]

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