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 Rabbi Moses ben Maimon ( \"Mōšeh bēn-Maymōn\"; \"Mūsā bin Maymūn\"), commonly known as Maimonides (; \"Maïmōnídēs\"; ), and also referred to by the acronym Rambam (, for \"Rabbeinu Mōšeh bēn Maimon\", \"Our Rabbi Moses son of Maimon\"), was a medieval Sephardic Jewish philosopher who became one of the most prolific and influential Torah scholars of the Middle Ages. In his time, he was also a preeminent astronomer and physician. Born in Cordova, Almoravid Empire (present-day Spain) on Passover Eve, 1135 or 1138, he worked as a rabbi, physician, and philosopher in Morocco and Egypt. He died in Egypt on December 12, 1204, whence his body was taken to the lower Galilee and buried in Tiberias. \n\nDuring his lifetime, most Jews greeted Maimonides' writings on Jewish law and ethics with acclaim and gratitude, even as far away as Iraq and Yemen, and although Maimonides rose to become the revered head of the Jewish community in Egypt, there were also vociferous critics of some of his writings, particularly in Spain. Nonetheless, he was posthumously acknowledged as among the foremost rabbinical arbiters and philosophers in Jewish history, and his copious work comprises a cornerstone of Jewish scholarship. His fourteen-volume \"Mishneh Torah\" still carries significant canonical authority as a codification of Talmudic law. He is sometimes known as \"ha Nesher ha Gadol\" (the great eagle) in recognition of his outstanding status as a \"bona fide\" exponent of the Oral Torah.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15514\": \"What caronym is Rabbi Moses ben Mairmon referred to?\"\n },\n {\n \"15515\": \"What was he one of the most prolific and influential scholars of?\"\n },\n {\n \"15516\": \"During what time?\"\n },\n {\n \"15517\": \"Where there any critics of his writings?\"\n },\n {\n \"15518\": \"Where were they from?\"\n },\n {\n \"15519\": \"Where was he born?\"\n },\n {\n \"15520\": \"On what Eve?\"\n },\n {\n \"15521\": \"What 14 volume work of his still carries significant canonical authority as a codification of Talmudic law?\"\n },\n {\n \"15522\": \"What did he work as in Morocco and Egypt?\"\n },\n {\n \"15523\": \"Why is he sometimes called \\\"ha Nesher ha Gadol\\\" (the great eagle)?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"15514\",\n \"answer\": \"acronym Rambam\"\n },\n {\n \"question_id\": \"15515\",\n \"answer\": \"the Torah\"\n },\n {\n \"question_id\": \"15516\",\n \"answer\": \"the Middle Ages\"\n },\n {\n \"question_id\": \"15517\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"15518\",\n \"answer\": \"particularly in Spain\"\n },\n {\n \"question_id\": \"15519\",\n \"answer\": \"in Cordova\"\n },\n {\n \"question_id\": \"15520\",\n \"answer\": \"on Passover Eve\"\n },\n {\n \"question_id\": \"15521\",\n \"answer\": \"Mishneh Torah\"\n },\n {\n \"question_id\": \"15522\",\n \"answer\": \"rabbinical arbiters\"\n },\n {\n \"question_id\": \"15523\",\n \"answer\": \"in recognition of his outstanding status as a \\\"bona fide\\\" exponent of the Oral Torah\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hungarian (\"magyar nyelv\") is the official language of Hungary and one of the 24 official languages of the European Union. Outside Hungary it is also spoken by communities of Hungarian people in neighbouring countries (especially in Romania, Slovakia, Serbia and Croatia), and by Hungarian diaspora communities worldwide. Like Finnish and Estonian, it belongs to the Uralic language family, its closest relatives being Mansi and Khanty. It is the most widely-spoken of the several European languages not part of the Indo-European family. \n\nThe Hungarian name for the language is \"magyar nyelv\" (). The word is used as an English and Hungarian word to refer to Hungarian people as an ethnic group. \n\nHungarian is a member of the Uralic language family. Linguistic connections between Hungarian and other Uralic languages were noticed in the 1670s, and the family itself (then called Finno-Ugric) was established in 1717, but the classification of Hungarian as a Uralic/Finno-Ugric rather than Turkic language continued to be a matter of impassioned political controversy throughout the 18th and into the 19th centuries. Hungarian has traditionally been assigned to an Ugric branch within Uralic/Finno-Ugric, along with the Mansi and Khanty languages of western Siberia (Khanty–Mansia region), but it is no longer clear that it is a valid group. When the Samoyed languages were determined to be part of the family, it was thought at first that Finnic and Ugric (Finno-Ugric) were closer to each other than to the Samoyed branch of the family, but that now is frequently questioned.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82710\": \"What language family does Hungarian come from?\"\n },\n {\n \"82711\": \"When was that established?\"\n },\n {\n \"82712\": \"And when did they establish the family?\"\n },\n {\n \"82713\": \"Was this controversial?\"\n },\n {\n \"82714\": \"Did that go on a while?\"\n },\n {\n \"82715\": \"How long?\"\n },\n {\n \"82716\": \"What did some people want it classed as?\"\n },\n {\n \"82717\": \"Where is it the official language?\"\n },\n {\n \"82718\": \"Is it spoken elsewhere?\"\n },\n {\n \"82719\": \"Are some of these people close to Hungary?\"\n },\n {\n \"82720\": \"Where?\"\n },\n {\n \"82721\": \"What are some of those?\"\n },\n {\n \"82722\": \"Are there more?\"\n },\n {\n \"82723\": \"What are they?\"\n },\n {\n \"82724\": \"What other groups speak it?\"\n },\n {\n \"82725\": \"Where are they/\"\n },\n {\n \"82726\": \"What doe Hungarians call their language?\"\n },\n {\n \"82727\": \"What does English use that for?\"\n },\n {\n \"82728\": \"What are the closest languages to it?\"\n },\n {\n \"82729\": \"How many official languages does the EU have?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82710\",\n \"answer\": \"Uralic\"\n },\n {\n \"question_id\": \"82711\",\n \"answer\": \"the 1670s\"\n },\n {\n \"question_id\": \"82712\",\n \"answer\": \"1717\"\n },\n {\n \"question_id\": \"82713\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82714\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82715\",\n \"answer\": \"throughout the 18th and into the 19th centuries\"\n },\n {\n \"question_id\": \"82716\",\n \"answer\": \"Turkic\"\n },\n {\n \"question_id\": \"82717\",\n \"answer\": \"Hungary\"\n },\n {\n \"question_id\": \"82718\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82719\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82720\",\n \"answer\": \"neighbouring countries\"\n },\n {\n \"question_id\": \"82721\",\n \"answer\": \"Romania, Slovakia\"\n },\n {\n \"question_id\": \"82722\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82723\",\n \"answer\": \"Serbia and Croatia\"\n },\n {\n \"question_id\": \"82724\",\n \"answer\": \"Hungarian diaspora communities\"\n },\n {\n \"question_id\": \"82725\",\n \"answer\": \"worldwide\"\n },\n {\n \"question_id\": \"82726\",\n \"answer\": \"magyar nyelv\\\"\"\n },\n {\n \"question_id\": \"82727\",\n \"answer\": \"to refer to Hungarian people as an ethnic group\"\n },\n {\n \"question_id\": \"82728\",\n \"answer\": \"Mansi and Khanty\"\n },\n {\n \"question_id\": \"82729\",\n \"answer\": \"24\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Japan ( \"Nippon\" or \"Nihon\" ; formally \"\" or \"Nihon-koku\", meaning \"State of Japan\") is a sovereign island nation in East Asia. Located in the Pacific Ocean, it lies off the eastern coast of the Asian mainland and stretches from the Sea of Okhotsk in the north to the East China Sea and Taiwan in the southwest. \n\nThe kanji that make up Japan's name mean \"sun origin\". 日 can be read as \"ni\" and means \"sun\", while 本 can be read as \"hon\" or \"pon\" and means \"origin\". Japan is often referred to by the famous epithet \"Land of the Rising Sun\" in reference to its Japanese name. Japan is a stratovolcanic archipelago consisting of about 6,852 islands. The four largest are Honshu, Hokkaido, Kyushu and Shikoku, which make up about ninety-seven percent of Japan's land area and often are referred to as home islands. The country is divided into 47 prefectures in eight regions, with Hokkaido being the northernmost prefecture and Okinawa being the southernmost one. The population of 127 million is the world's eleventh largest. Japanese people make up 98.5% of Japan's total population. Approximately 9.1 million people live in the city of Tokyo, the capital of Japan. \n\nArchaeological research indicates that Japan was inhabited as early as the Upper Paleolithic period. The first written mention of Japan is in Chinese history texts from the 1st century AD. Influence from other regions, mainly China, followed by periods of isolation, particularly from Western Europe, has characterized Japan's history.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98073\": \"When do they think Japan was inhabited?\"\n },\n {\n \"98074\": \"What type of research did they use to establish this?\"\n },\n {\n \"98075\": \"When is Japan first noted in writing?\"\n },\n {\n \"98076\": \"Where was it found?\"\n },\n {\n \"98077\": \"Where is Japan located?\"\n },\n {\n \"98078\": \"which ocean is it in?\"\n },\n {\n \"98079\": \"What is the formal meaning of Japan?\"\n },\n {\n \"98080\": \"How is it often referred by?\"\n },\n {\n \"98081\": \"What is that in reference to?\"\n },\n {\n \"98082\": \"How many islands does it include?\"\n },\n {\n \"98083\": \"How many islands make up 97% of Japan?\"\n },\n {\n \"98084\": \"What are they?\"\n },\n {\n \"98085\": \"What are they referred to as?\"\n },\n {\n \"98086\": \"How many people live in Tokyo?\"\n },\n {\n \"98087\": \"Is it the captial?\"\n },\n {\n \"98088\": \"How many regions does Japan encompass?\"\n },\n {\n \"98089\": \"Is it divided up even further?\"\n },\n {\n \"98090\": \"Into what?\"\n },\n {\n \"98091\": \"What is the most northern region?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98073\",\n \"answer\": \"the Upper Paleolithic period.\"\n },\n {\n \"question_id\": \"98074\",\n \"answer\": \"Archaeological\"\n },\n {\n \"question_id\": \"98075\",\n \"answer\": \"1st century AD.\"\n },\n {\n \"question_id\": \"98076\",\n \"answer\": \"Chinese history texts\"\n },\n {\n \"question_id\": \"98077\",\n \"answer\": \"East Asia\"\n },\n {\n \"question_id\": \"98078\",\n \"answer\": \"Pacific\"\n },\n {\n \"question_id\": \"98079\",\n \"answer\": \"sun origin\"\n },\n {\n \"question_id\": \"98080\",\n \"answer\": \"Land of the Rising Sun\"\n },\n {\n \"question_id\": \"98081\",\n \"answer\": \"its Japanese name.\"\n },\n {\n \"question_id\": \"98082\",\n \"answer\": \"about 6,852\"\n },\n {\n \"question_id\": \"98083\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"98084\",\n \"answer\": \"Honshu, Hokkaido, Kyushu and Shikoku\"\n },\n {\n \"question_id\": \"98085\",\n \"answer\": \"home islands.\"\n },\n {\n \"question_id\": \"98086\",\n \"answer\": \"Approximately 9.1 million\"\n },\n {\n \"question_id\": \"98087\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98088\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"98089\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98090\",\n \"answer\": \"47 prefectures\"\n },\n {\n \"question_id\": \"98091\",\n \"answer\": \"Hokkaido\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Statue of Liberty (Liberty Enlightening the World; ) is a colossal neoclassical sculpture on Liberty Island in New York Harbor in New York City, in the United States. The copper statue, a gift from the people of France to the people of the United States, was designed by French sculptor Frédéric Auguste Bartholdi and built by Gustave Eiffel. The statue was dedicated on October 28, 1886. \n\nThe Statue of Liberty is a figure of a robed woman representing Libertas, a Roman goddess. She holds a torch above her head with her right hand, and in her left hand carries a \"tabula ansata\" inscribed in Roman numerals with \"JULY IV MDCCLXXVI\" (July 4, 1776), the date of the U.S. Declaration of Independence. A broken chain lies at her feet. The statue became an icon of freedom and of the United States, and was a welcoming sight to immigrants arriving from abroad. \n\nBartholdi was inspired by a French law professor and politician, Édouard René de Laboulaye, who is said to have commented in 1865 that any monument raised to U.S. independence would properly be a joint project of the French and American peoples. Because of the post-war instability in France, work on the statue did not commence until the early 1870s. In 1875, Laboulaye proposed that the French finance the statue and the U.S. provide the site and build the pedestal. Bartholdi completed the head and the torch-bearing arm before the statue was fully designed, and these pieces were exhibited for publicity at international expositions.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55110\": \"Who designed the Statue of Liberty?\"\n },\n {\n \"55111\": \"What was he inspired by?\"\n },\n {\n \"55112\": \"What was the statue made of?\"\n },\n {\n \"55113\": \"Which country was it made for?\"\n },\n {\n \"55114\": \"Did the U.S. order it to be built?\"\n },\n {\n \"55115\": \"How did it come that they were given ownership then?\"\n },\n {\n \"55116\": \"From whom?\"\n },\n {\n \"55117\": \"Did France finance it?\"\n },\n {\n \"55118\": \"What is it a figure of?\"\n },\n {\n \"55119\": \"Who is she in likeness of?\"\n },\n {\n \"55120\": \"Who is that?\"\n },\n {\n \"55121\": \"Is she holding anything?\"\n },\n {\n \"55122\": \"What?\"\n },\n {\n \"55123\": \"How is she holding it?\"\n },\n {\n \"55124\": \"With which hand?\"\n },\n {\n \"55125\": \"Is she holding anything with her left?\"\n },\n {\n \"55126\": \"What?\"\n },\n {\n \"55127\": \"What is it inscribed with?\"\n },\n {\n \"55128\": \"What's the significance of them?\"\n },\n {\n \"55129\": \"Who built the statue?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55110\",\n \"answer\": \"Fr\\u00e9d\\u00e9ric Auguste Bartholdi\"\n },\n {\n \"question_id\": \"55111\",\n \"answer\": \"Libertas\"\n },\n {\n \"question_id\": \"55112\",\n \"answer\": \"copper\"\n },\n {\n \"question_id\": \"55113\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"55114\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55115\",\n \"answer\": \"it was a gift\"\n },\n {\n \"question_id\": \"55116\",\n \"answer\": \"the people of France\"\n },\n {\n \"question_id\": \"55117\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55118\",\n \"answer\": \"a robed woman\"\n },\n {\n \"question_id\": \"55119\",\n \"answer\": \"Libertas\"\n },\n {\n \"question_id\": \"55120\",\n \"answer\": \"a Roman goddess\"\n },\n {\n \"question_id\": \"55121\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55122\",\n \"answer\": \"a torch\"\n },\n {\n \"question_id\": \"55123\",\n \"answer\": \"above her head\"\n },\n {\n \"question_id\": \"55124\",\n \"answer\": \"right\"\n },\n {\n \"question_id\": \"55125\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55126\",\n \"answer\": \"a \\\"tabula ansata\\\"\"\n },\n {\n \"question_id\": \"55127\",\n \"answer\": \"Roman numerals\"\n },\n {\n \"question_id\": \"55128\",\n \"answer\": \"the date of the U.S. Declaration of Independence\"\n },\n {\n \"question_id\": \"55129\",\n \"answer\": \"Gustave Eiffel\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Unlike the Spanish milled dollar the U.S. dollar is based upon a decimal system of values. In addition to the dollar the coinage act officially established monetary units of mill or one-thousandth of a dollar (symbol ₥), cent or one-hundredth of a dollar (symbol ¢), dime or one-tenth of a dollar, and eagle or ten dollars, with prescribed weights and composition of gold, silver, or copper for each. It was proposed in the mid-1800s that one hundred dollars be known as a union, but no union coins were ever struck and only patterns for the $50 half union exist. However, only cents are in everyday use as divisions of the dollar; \"dime\" is used solely as the name of the coin with the value of 10¢, while \"eagle\" and \"mill\" are largely unknown to the general public, though mills are sometimes used in matters of tax levies, and gasoline prices are usually in the form of $X.XX9 per gallon, e.g., $3.599, sometimes written as $3.599⁄10. When currently issued in circulating form, denominations equal to or less than a dollar are emitted as U.S. coins while denominations equal to or greater than a dollar are emitted as Federal Reserve notes (with the exception of gold, silver and platinum coins valued up to $100 as legal tender, but worth far more as bullion). Both one-dollar coins and notes are produced today, although the note form is significantly more common. In the past, \"paper money\" was occasionally issued in denominations less than a dollar (fractional currency) and gold coins were issued for circulation up to the value of $20 (known as the \"double eagle\", discontinued in the 1930s). The term eagle was used in the Coinage Act of 1792 for the denomination of ten dollars, and subsequently was used in naming gold coins. Paper currency less than one dollar in denomination, known as \"fractional currency\", was also sometimes pejoratively referred to as \"shinplasters\". In 1854, James Guthrie, then Secretary of the Treasury, proposed creating $100, $50 and $25 gold coins, which were referred to as a \"Union\", \"Half Union\", and \"Quarter Union\", thus implying a denomination of 1 Union = $100.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37252\": \"How much is a dime worth?\"\n },\n {\n \"37253\": \"A cent?\"\n },\n {\n \"37254\": \"Is there one called a mil?\"\n },\n {\n \"37255\": \"How much is that?\"\n },\n {\n \"37256\": \"What set these values?\"\n },\n {\n \"37257\": \"Was this in Spain?\"\n },\n {\n \"37258\": \"Where was it?\"\n },\n {\n \"37259\": \"If a piece of money is worth at least a dollar what do the make for it?\"\n },\n {\n \"37260\": \"What about less than that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37252\",\n \"answer\": \"one-tenth of a dollar\"\n },\n {\n \"question_id\": \"37253\",\n \"answer\": \"one-hundredth of a dollar\"\n },\n {\n \"question_id\": \"37254\",\n \"answer\": \"A mill, yes\"\n },\n {\n \"question_id\": \"37255\",\n \"answer\": \"one-thousandth of a dolla\"\n },\n {\n \"question_id\": \"37256\",\n \"answer\": \"coinage act\"\n },\n {\n \"question_id\": \"37257\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37258\",\n \"answer\": \"U.S\"\n },\n {\n \"question_id\": \"37259\",\n \"answer\": \"Federal Reserve notes\"\n },\n {\n \"question_id\": \"37260\",\n \"answer\": \"U.S. coins\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 2008 Summer Olympics torch relay was run from March 24 until August 8, 2008, prior to the 2008 Summer Olympics, with the theme of \"one world, one dream\". Plans for the relay were announced on April 26, 2007, in Beijing, China. The relay, also called by the organizers as the \"Journey of Harmony\", lasted 129 days and carried the torch 137,000 km (85,000 mi) – the longest distance of any Olympic torch relay since the tradition was started ahead of the 1936 Summer Olympics. \n\nAfter being lit at the birthplace of the Olympic Games in Olympia, Greece on March 24, the torch traveled to the Panathinaiko Stadium in Athens, and then to Beijing, arriving on March 31. From Beijing, the torch was following a route passing through six continents. The torch has visited cities along the Silk Road, symbolizing ancient links between China and the rest of the world. The relay also included an ascent with the flame to the top of Mount Everest on the border of Nepal and Tibet, China from the Chinese side, which was closed specially for the event.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93810\": \"When was the race?\"\n },\n {\n \"93811\": \"What was it for?\"\n },\n {\n \"93812\": \"What was the motto?\"\n },\n {\n \"93813\": \"What was the race called?\"\n },\n {\n \"93814\": \"How long did it take?\"\n },\n {\n \"93815\": \"How far did it go?\"\n },\n {\n \"93816\": \"Is that a normal length?\"\n },\n {\n \"93817\": \"Was it longer or shorter than usual?\"\n },\n {\n \"93818\": \"Where did it begin?\"\n },\n {\n \"93819\": \"Where did it stop along the way?\"\n },\n {\n \"93820\": \"How many continents did it cross?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93810\",\n \"answer\": \"March 24 until August 8, 2008\"\n },\n {\n \"question_id\": \"93811\",\n \"answer\": \"Summer Olympics\"\n },\n {\n \"question_id\": \"93812\",\n \"answer\": \"one world, one dream\"\n },\n {\n \"question_id\": \"93813\",\n \"answer\": \"Journey of Harmony\"\n },\n {\n \"question_id\": \"93814\",\n \"answer\": \"129 days\"\n },\n {\n \"question_id\": \"93815\",\n \"answer\": \"137,000 km\"\n },\n {\n \"question_id\": \"93816\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93817\",\n \"answer\": \"longer\"\n },\n {\n \"question_id\": \"93818\",\n \"answer\": \"Olympia, Greece\"\n },\n {\n \"question_id\": \"93819\",\n \"answer\": \"Athens and Beijing\"\n },\n {\n \"question_id\": \"93820\",\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 Australian Flag Designs by Readers of the Sun-Herald We received dozens of responses after inviting readers to send in their designs for a new flag. The designs we received include: James Anthony, Drummoyne James reduces the Union Jack down in size and changes its shape to become a reminder of the British tradition rather than canceling it altogether. At the same time he suggests enlarging the stars of the Southern Cross. His design attempts to use the best of both worlds in a newly designed flag. As he says, \"the British part of the Australian Flag is too big and the Australian bits are too small. When you make the stars bigger the Australian flag can look impressive.\" Joe Bollen, Turranmurra Joe's flag has the main elements of a risen sun, white horizon , red earth at the base and the Southern Cross. He intends to make the risen sun a special Australian symbol on the flag. He believes it represents life. The Southern Cross shows that we live in the Southern Hemisphere. Maria Ieraci, Sydney Maria deleted the Union Jack but otherwise kept the flag as is with the Southern Cross and Federation Star. She says, 'There is only one correct way to change the Australian flag\" and that is \"to drop the Union Jack ---- when Australia becomes a Republic\", which she hopes will be before 2010. Ron Bennett, Sydney Ron recommends using the Aboriginal colors but replacing their image of the sun with the map of Australia. He says, \"Australia is unique being an island continent with an instantly recognizable outline at that\" and \"this will leave no doubt as to which country the flag belongs.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75593\": \"Which country is unique in being an island continent with a recognizable outline?\"\n },\n {\n \"75594\": \"Who was invited to send in designs for a new flag?\"\n },\n {\n \"75595\": \"Of what publication?\"\n },\n {\n \"75596\": \"What happens when you make the stars of the flag bigger?\"\n },\n {\n \"75597\": \"What does the Southern Cross show?\"\n },\n {\n \"75598\": \"Who says there's only one way to change the Australian flag?\"\n },\n {\n \"75599\": \"And what is that way?\"\n },\n {\n \"75600\": \"When does she hope Australia will become a Republic?\"\n },\n {\n \"75601\": \"Who thinks it would be a good idea to use the Aboriginal colors but replace the sun?\"\n },\n {\n \"75602\": \"Whose design reduced the Union Jack size and changed its shape?\"\n },\n {\n \"75603\": \"Why did he want to do that?\"\n },\n {\n \"75604\": \"And what did he want to do to the stars?\"\n },\n {\n \"75605\": \"What did he say about the British and Australian parts of the flag?\"\n },\n {\n \"75606\": \"Whose flag has the risen sun, white horizon , red earth at the base?\"\n },\n {\n \"75607\": \"What is another name for Joe Bollen?\"\n },\n {\n \"75608\": \"Who is Syndey Ron really?\"\n },\n {\n \"75609\": \"And Sydney Maria?\"\n },\n {\n \"75610\": \"About how many design responses were received?\"\n },\n {\n \"75611\": \"Who is Drummoyne James a nickname for?\"\n },\n {\n \"75612\": \"And what is Joe Bollen's nickname?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75593\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"75594\",\n \"answer\": \"readers\"\n },\n {\n \"question_id\": \"75595\",\n \"answer\": \"the Sun-Herald\"\n },\n {\n \"question_id\": \"75596\",\n \"answer\": \"the Australian flag can look impressive\"\n },\n {\n \"question_id\": \"75597\",\n \"answer\": \"they live in the Southern Hemisphere\"\n },\n {\n \"question_id\": \"75598\",\n \"answer\": \"Sydney Maria\"\n },\n {\n \"question_id\": \"75599\",\n \"answer\": \"drop the Union Jack\"\n },\n {\n \"question_id\": \"75600\",\n \"answer\": \"before 2010\"\n },\n {\n \"question_id\": \"75601\",\n \"answer\": \"Ron Bennett\"\n },\n {\n \"question_id\": \"75602\",\n \"answer\": \"James Anthony\"\n },\n {\n \"question_id\": \"75603\",\n \"answer\": \"for a reminder of the British tradition\"\n },\n {\n \"question_id\": \"75604\",\n \"answer\": \"enlarge them\"\n },\n {\n \"question_id\": \"75605\",\n \"answer\": \"British is too big and Australian is too small\"\n },\n {\n \"question_id\": \"75606\",\n \"answer\": \"Joe Bollen's\"\n },\n {\n \"question_id\": \"75607\",\n \"answer\": \"Joe\"\n },\n {\n \"question_id\": \"75608\",\n \"answer\": \"Ron Bennett\"\n },\n {\n \"question_id\": \"75609\",\n \"answer\": \"Maria Ieraci\"\n },\n {\n \"question_id\": \"75610\",\n \"answer\": \"dozens\"\n },\n {\n \"question_id\": \"75611\",\n \"answer\": \"James Anthony\"\n },\n {\n \"question_id\": \"75612\",\n \"answer\": \"Turranmurra Joe\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Saint Thomas Aquinas (; ; 1225 – 7 March 1274) was an Italian Dominican friar, Catholic priest, and Doctor of the Church. He was an immensely influential philosopher, theologian, and jurist in the tradition of scholasticism, within which he is also known as the Doctor Angelicus and the Doctor Communis. The name \"Aquinas\" identifies his ancestral origins in the county of Aquino in present-day Lazio. \n\nHe was the foremost classical proponent of natural theology and the father of Thomism; of which he argued that reason is found in God. His influence on Western thought is considerable, and much of modern philosophy developed or opposed his ideas, particularly in the areas of ethics, natural law, metaphysics, and political theory. Unlike many currents in the Church of the time, Thomas embraced several ideas put forward by Aristotle—whom he called \"the Philosopher\"—and attempted to synthesize Aristotelian philosophy with the principles of Christianity. The works for which he is best known are the \"Summa Theologiae\" and the \"Summa contra Gentiles\". His commentaries on Scripture and on Aristotle form an important part of his body of work. Furthermore, Thomas is distinguished for his eucharistic hymns, which form a part of the Church's liturgy. \n\nThe Catholic Church honors Thomas Aquinas as a saint and regards him as the model teacher for those studying for the priesthood, and indeed the highest expression of both natural reason and speculative theology. In modern times, under papal directives, the study of his works was long used as a core of the required program of study for those seeking ordination as priests or deacons, as well as for those in religious formation and for other students of the sacred disciplines (philosophy, Catholic theology, church history, liturgy, and canon law).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55395\": \"Did the Catholic Church give some major props to Aquinas?\"\n },\n {\n \"55396\": \"What did it honor him as?\"\n },\n {\n \"55397\": \"What type of teacher is he regarded as?\"\n },\n {\n \"55398\": \"Is his work still studied today?\"\n },\n {\n \"55399\": \"What's it used as a core program for?\"\n },\n {\n \"55400\": \"What an example of a sacred discipline?\"\n },\n {\n \"55401\": \"What's another?\"\n },\n {\n \"55402\": \"Does Thomas think that reason is found in God?\"\n },\n {\n \"55403\": \"Did he have any influence at all on Western thought?\"\n },\n {\n \"55404\": \"How much?\"\n },\n {\n \"55405\": \"What's he a proponent of?\"\n },\n {\n \"55406\": \"What's an area that modern philosophy developed in based on his ideas?\"\n },\n {\n \"55407\": \"What's another?\"\n },\n {\n \"55408\": \"What did Thomas nickname Aristotle?\"\n },\n {\n \"55409\": \"What's one of Thomas' best known works?\"\n },\n {\n \"55410\": \"What's another one?\"\n },\n {\n \"55411\": \"Did he compose any music?\"\n },\n {\n \"55412\": \"What country did Thomas hail from?\"\n },\n {\n \"55413\": \"What county was his ancestral origins?\"\n },\n {\n \"55414\": \"What's it known as in the present?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55395\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55396\",\n \"answer\": \"A saint.\"\n },\n {\n \"question_id\": \"55397\",\n \"answer\": \"The model teacher.\"\n },\n {\n \"question_id\": \"55398\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55399\",\n \"answer\": \"For those seeking ordination as priests or deacons.\"\n },\n {\n \"question_id\": \"55400\",\n \"answer\": \"Philosophy.\"\n },\n {\n \"question_id\": \"55401\",\n \"answer\": \"Catholic theology.\"\n },\n {\n \"question_id\": \"55402\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55403\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55404\",\n \"answer\": \"Considerable.\"\n },\n {\n \"question_id\": \"55405\",\n \"answer\": \"Natural theology.\"\n },\n {\n \"question_id\": \"55406\",\n \"answer\": \"Ethics.\"\n },\n {\n \"question_id\": \"55407\",\n \"answer\": \"Natural law.\"\n },\n {\n \"question_id\": \"55408\",\n \"answer\": \"\\\"The Philosopher.\\\"\"\n },\n {\n \"question_id\": \"55409\",\n \"answer\": \"The \\\"Summa Theologiae.\\\"\"\n },\n {\n \"question_id\": \"55410\",\n \"answer\": \"The \\\"Summa contra Gentiles.\\\"\"\n },\n {\n \"question_id\": \"55411\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"55412\",\n \"answer\": \"Italy.\"\n },\n {\n \"question_id\": \"55413\",\n \"answer\": \"Aquino.\"\n },\n {\n \"question_id\": \"55414\",\n \"answer\": \"Lazio.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nA NIGHT RIDE \n\nIt was six o'clock in the evening. Curtis had just finished his supper and sat drowsily content in his quarters at the police post after being out in the frost all day. The temperature had steadily fallen since morning and the cold was now intensified by a breeze that drove scattered clouds across the moon and flung fine snow against the board walls, but the stove, which glowed a dull red, kept the room comfortable. A nickeled lamp shed down a cheerful light, and the tired corporal looked forward to a long night's rest. Private Stanton sat near him, cleaning a carbine. \n\n\"It's curious you have heard nothing from Regina since you sent up those clothes,\" he remarked. \"It looked pretty bad for Prescott.\" \n\n\"I don't know,\" said Curtis. \"Have you ever seen him with that suit on?\" \n\n\"No.\" \n\n\"Nor has anybody else, so far as I can learn. There's another point--the land agent talked of a tall, stoutish man. You wouldn't call Prescott that.\" \n\n\"Those clothes were 'most as good as new; he might have only had them on the once,\" Stanton persisted. \n\n\"That's what struck me; I don't know how they looked so good, if they'd been lying where Jernyngham found them, since last summer.\" \n\n\"It's a thing I might have thought of.\" \n\n\"You have a good deal to learn yet.\" Curtis smiled tolerantly. \n\n\"Anyhow, I found you a photograph of Prescott, and you were glad to send it along to Regina. What do you think our bosses are doing about it?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25169\": \"Who was having his meal?\"\n },\n {\n \"25170\": \"What time was that?\"\n },\n {\n \"25171\": \"Where is he?\"\n },\n {\n \"25172\": \"Where is it?\"\n },\n {\n \"25173\": \"Where was he all day long?\"\n },\n {\n \"25174\": \"How was the weather all day?\"\n },\n {\n \"25175\": \"Did the temperature fall even farther?\"\n },\n {\n \"25176\": \"What made the temperature drop?\"\n },\n {\n \"25177\": \"Was the moon visible?\"\n },\n {\n \"25178\": \"Was it snowing too?\"\n },\n {\n \"25179\": \"Despite all this was he comfortable?\"\n },\n {\n \"25180\": \"What made the room comfortable?\"\n },\n {\n \"25181\": \"What was the source of light for them?\"\n },\n {\n \"25182\": \"Who sat by him?\"\n },\n {\n \"25183\": \"What was he doing?\"\n },\n {\n \"25184\": \"Who did he not hear from?\"\n },\n {\n \"25185\": \"What he sent her?\"\n },\n {\n \"25186\": \"Did the clothes look good?\"\n },\n {\n \"25187\": \"Who found them?\"\n },\n {\n \"25188\": \"Whose photograph was found?\"\n },\n {\n \"25189\": \"Who it was send to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"25169\",\n \"answer\": \"Curtis\"\n },\n {\n \"question_id\": \"25170\",\n \"answer\": \"six o'clock\"\n },\n {\n \"question_id\": \"25171\",\n \"answer\": \"in his quarters\"\n },\n {\n \"question_id\": \"25172\",\n \"answer\": \"at the police post\"\n },\n {\n \"question_id\": \"25173\",\n \"answer\": \"outside\"\n },\n {\n \"question_id\": \"25174\",\n \"answer\": \"frosty\"\n },\n {\n \"question_id\": \"25175\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25176\",\n \"answer\": \"breeze\"\n },\n {\n \"question_id\": \"25177\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25178\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25179\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25180\",\n \"answer\": \"stove\"\n },\n {\n \"question_id\": \"25181\",\n \"answer\": \"A nickeled lamp\"\n },\n {\n \"question_id\": \"25182\",\n \"answer\": \"Private Stanton\"\n },\n {\n \"question_id\": \"25183\",\n \"answer\": \"cleaning a carbine\"\n },\n {\n \"question_id\": \"25184\",\n \"answer\": \"Regina\"\n },\n {\n \"question_id\": \"25185\",\n \"answer\": \"clothes\"\n },\n {\n \"question_id\": \"25186\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"25187\",\n \"answer\": \"Jernyngham\"\n },\n {\n \"question_id\": \"25188\",\n \"answer\": \"Prescott\"\n },\n {\n \"question_id\": \"25189\",\n \"answer\": \"Regina\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Carol and Susan are very good friends. They are in the same class at school and they often go to each other's home on Sunday. Now they are both eight yeas old. Carol's mother has got a new baby. Carol is very glad to have a little sister, so she is always talking about her to Susan. At first Susan is very interested in the new baby because she does not have any brothers or sisters. But after some time she begins to get tired of Carol's keeping on talking about it. She also feels a little jealous of her friend. One morning when the two girls meet at the school gate, Carol says to Susan cheerfully , \"Do you know, Susan, my baby sister has put on about half a pound in weight this week?\" \"That is not very much,\" answers Carol. \"I know a baby that puts on ten pounds a day.\" \"Oh, that can't be true!\" answers Carol. \"Whose baby is it?\" \"An elephant's,\" says Susan.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87561\": \"Who has a new baby?\"\n },\n {\n \"87562\": \"Is Carol jealous?\"\n },\n {\n \"87563\": \"Who is?\"\n },\n {\n \"87564\": \"Why?\"\n },\n {\n \"87565\": \"Does Susan have any siblings?\"\n },\n {\n \"87566\": \"Are the girls good friend?\"\n },\n {\n \"87567\": \"Where do they meet?\"\n },\n {\n \"87568\": \"Do they go to the others home on Fridays?\"\n },\n {\n \"87569\": \"How much weight did the baby gain?\"\n },\n {\n \"87570\": \"Over how long?\"\n },\n {\n \"87571\": \"What did Susan say about that?\"\n },\n {\n \"87572\": \"What put on more weight?\"\n },\n {\n \"87573\": \"How much weight did it put on in a day?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"87561\",\n \"answer\": \"Carol's mother\"\n },\n {\n \"question_id\": \"87562\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87563\",\n \"answer\": \"Susan\"\n },\n {\n \"question_id\": \"87564\",\n \"answer\": \"Carol keeps talking about the baby\"\n },\n {\n \"question_id\": \"87565\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87566\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87567\",\n \"answer\": \"at school and home\"\n },\n {\n \"question_id\": \"87568\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87569\",\n \"answer\": \"about half a pound i\"\n },\n {\n \"question_id\": \"87570\",\n \"answer\": \"a week\"\n },\n {\n \"question_id\": \"87571\",\n \"answer\": \"that it's not that much\"\n },\n {\n \"question_id\": \"87572\",\n \"answer\": \"an elephant's\"\n },\n {\n \"question_id\": \"87573\",\n \"answer\": \"ten pounds\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 December,2010,many American newspapers publish a list of the best books of the year. Freedom by Jonathan Franzen is one of the most repeatedly praised books on this year's list of favorites. It tells about the ups and downs of the Berglund family over many years. Mr.Franzen fills the book with sharp observations about American politics, culture and society. \n\nJennifer Egan's book A Visit from the Goon Squad takes place in 13 chapters over 40 years. The story moves back and forth in time,from different viewpoints. One main character is former rock musician Bennie Salazar who works for a record company. The other main character is a troubled young woman named Sasha who works for Bennie. The reader learns about their pasts and those of their friends. \n\nThe main character in The Imperfectionists by Tom Rachman is a failing English Language newspaper published in Rome,Italy. Each chapter of the book tells about a reporter or editor working for this paper. Their stories are filled with intelligence and great personality. \n\nTwo of the most popular nonfiction books of 2010 were about rock and roll stars. Just Kids is by rock singer Patti Smith. It tells about her friendship with the artist Robert Mapplethorpe in the 1960s and 1970s before they became famous. Life is the autobiography of Rolling Stones guitarist Keith Richards. It is an honest and exciting look at the development of rock and roll and the wild times this famous band has experienced. \n\nUnbroken by Laura Hillenbrand tells about a man named Louis Zamperini. She tells about his extraordinary survival story after his plane crashed into the Pacific Ocean during Would War Two. \n\nStacy Schiff has received great praise for her book Cleopatra: A Life. It tells about one of the most misrepresented and famous women in his story, Cleopatra. She ruled ancient Egypt about 2,000 years ago. One critic said Ms. Schiff has brought Cleopatra to life again by unearthing her story from centuries of lies.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61950\": \"In Dec 2010, what was the name of one of the most repeatedly praised books on the favorites list?\"\n },\n {\n \"61951\": \"Who wrote A Visit from the Goon Squad?\"\n },\n {\n \"61952\": \"What family does Freedom feature?\"\n },\n {\n \"61953\": \"And who is the author of the Berglund family's story?\"\n },\n {\n \"61954\": \"Patti Smith, which nonfiction title did she write?\"\n },\n {\n \"61955\": \"Just Kids told about Patti Smith's friendship with which artist?\"\n },\n {\n \"61956\": \"What kind of nonfiction title did Keith Richards write?\"\n },\n {\n \"61957\": \"Who wrote the book about Louis Zamperini?\"\n },\n {\n \"61958\": \"And what was the title of Miss Hillenbrand's novel?\"\n },\n {\n \"61959\": \"During what major event was Unbroken set?\"\n },\n {\n \"61960\": \"Who is touted as one of the most misrepresented and famous women in history?\"\n },\n {\n \"61961\": \"And how long ago did she rule ancient Egypt?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61950\",\n \"answer\": \"A Visit from the Goon Squad\"\n },\n {\n \"question_id\": \"61951\",\n \"answer\": \"Jennifer Egan\"\n },\n {\n \"question_id\": \"61952\",\n \"answer\": \"The Berglund family\"\n },\n {\n \"question_id\": \"61953\",\n \"answer\": \"Jonathan Franzen\"\n },\n {\n \"question_id\": \"61954\",\n \"answer\": \"Just Kids\"\n },\n {\n \"question_id\": \"61955\",\n \"answer\": \"Robert Mapplethorpe\"\n },\n {\n \"question_id\": \"61956\",\n \"answer\": \"autobiography\"\n },\n {\n \"question_id\": \"61957\",\n \"answer\": \"Laura Hillenbrand\"\n },\n {\n \"question_id\": \"61958\",\n \"answer\": \"Unbroken\"\n },\n {\n \"question_id\": \"61959\",\n \"answer\": \"WWII\"\n },\n {\n \"question_id\": \"61960\",\n \"answer\": \"Cleopatra\"\n },\n {\n \"question_id\": \"61961\",\n \"answer\": \"about 2,000 years ago\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Ruben Navarrette Jr. is a nationally syndicated columnist and a member of the editorial board of the San Diego Union-Tribune. Read his column here \n\nRuben Navarrette says Sarah Palin's critics challenged her because of prejudices about small-town values. \n\nSAN DIEGO, California (CNN) -- During the presidential election, some Democrats demanded to know how I could defend Alaska Gov. Sarah Palin. \n\nSimply put, Palin is my people. She's small-town folk who wound up in the big leagues. \n\nBecause I grew up in a small town with a population of less than 15,000 people, I was disgusted by the insults and condescension coming from those who think of themselves as the enlightened elite. Meanwhile, in small towns, I detected great affection for Palin. People talked about how she was \"a real person\" who \"reflected their values.\" \n\nThe most significant divide in America isn't Red State vs. Blue State, it's rural vs. urban. The country mouse and the city mouse are still slugging it out. \n\nIn 1982, New York Mayor Ed Koch ran unsuccessfully for governor of New York. Some say the deciding factor was when Koch described life in upstate New York as \"sterile\" and said he dreaded living in the \"small town\" of Albany, if elected. That didn't play well in rural areas. \n\nNow comes Colin Powell. During a recent appearance on CNN's \"Fareed Zakaria GPS,\" Powell attempted an autopsy on the Republican Party's failed presidential bid. He went after Palin, accusing her of pushing the party so far to the right that it went over a cliff. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89937\": \"Who is Ruben navarette?\"\n },\n {\n \"89938\": \"for what publication?\"\n },\n {\n \"89939\": \"How can he defend Palin?\"\n },\n {\n \"89940\": \"How many people were in his home town?\"\n },\n {\n \"89941\": \"Do small town folks like her?\"\n },\n {\n \"89942\": \"what show did Colin Powell appear on?\"\n },\n {\n \"89943\": \"Did he feel the GOP needed to go more conservative?\"\n },\n {\n \"89944\": \"Is rural vs urban a big divide in the US?\"\n },\n {\n \"89945\": \"do small town folk feel Palin represented their values?\"\n },\n {\n \"89946\": \"does he posit that her values played a part in her treatment by critics?\\\"\"\n },\n {\n \"89947\": \"did he call them prejudiced?\"\n },\n {\n \"89948\": \"Does his column have a large readership?\"\n },\n {\n \"89949\": \"What was her previous role in government?\"\n },\n {\n \"89950\": \"how does he feel about elites?\"\n },\n {\n \"89951\": \"do they make him sick?\"\n },\n {\n \"89952\": \"When did Ed Koch lose the Governor's race?\"\n },\n {\n \"89953\": \"Did he say he wanted to move to Albany?\"\n },\n {\n \"89954\": \"Was the city too big?\"\n },\n {\n \"89955\": \"Did he say flattering things about the rural parts of the state?\"\n },\n {\n \"89956\": \"How did he describe rural life?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"89937\",\n \"answer\": \"columnist\"\n },\n {\n \"question_id\": \"89938\",\n \"answer\": \"San Diego Union-Tribune\"\n },\n {\n \"question_id\": \"89939\",\n \"answer\": \"small-town folk like him\"\n },\n {\n \"question_id\": \"89940\",\n \"answer\": \"less than 15,000\"\n },\n {\n \"question_id\": \"89941\",\n \"answer\": \"yes some\"\n },\n {\n \"question_id\": \"89942\",\n \"answer\": \"Fareed Zakaria GPS\"\n },\n {\n \"question_id\": \"89943\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89944\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89945\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89946\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89947\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89948\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"89949\",\n \"answer\": \"Alaska Gov.\"\n },\n {\n \"question_id\": \"89950\",\n \"answer\": \"condescending\"\n },\n {\n \"question_id\": \"89951\",\n \"answer\": \"yes disgusted\"\n },\n {\n \"question_id\": \"89952\",\n \"answer\": \"1982\"\n },\n {\n \"question_id\": \"89953\",\n \"answer\": \"no he hated\"\n },\n {\n \"question_id\": \"89954\",\n \"answer\": \"no, not at all\"\n },\n {\n \"question_id\": \"89955\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"89956\",\n \"answer\": \"sterile\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 More than 40 years ago, John Williams gave away all of his belongings and went off to the mountains to live the way people lived 100 years ago. For food he traps wild animals, fishes in the rivers, and plants whatever he can. John lives in a cabin he made by hand, out of trees he chopped down with an ax. Though he has no s he knows of, he does have a deer he raised from a fawn. The deer lives in the house in the winter and goes with John when he goes into the forest for food. Nobody lives within fifty miles of his cabin in the mountains and John has not been out of the mountains during the entire forty years. One day last year I hiked in to see how John lives. It was like going back in time. There were no roads, no stores, no noise, no pollution, not even a post office. \n\nMost notable of all, there were no people and that's just the way John Williams wants to keep his part of the world--without people. But there is a paradox in his story. John is an educated man. He has books and nobody knows how he got them. Mostly he reads about his world, the forest, the animals, the plants, and the mountains. He has seen airplanes flying overhead but does not want to know about them. For him, electricity is lightning, not light bulbs, refrigerators, televisions, or washing machines. John Williams is 85 years old and had not had a sick day in his life. He attributes his long life to the fact that it has nothing to do with people and in order that he might enjoy many more years of health, happiness, and solitude, I will not tell you where his kingdom lies. There is no room there for you or me.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35864\": \"Who gave away all his stuff\"\n },\n {\n \"35865\": \"Why\"\n },\n {\n \"35866\": \"What did he do for food\"\n },\n {\n \"35867\": \"What else\"\n },\n {\n \"35868\": \"Who made his house\"\n },\n {\n \"35869\": \"What pet does he have\"\n },\n {\n \"35870\": \"Where does it stay in winter\"\n },\n {\n \"35871\": \"How far is the closest neighbor\"\n },\n {\n \"35872\": \"How long has he lived there\"\n },\n {\n \"35873\": \"Are there any roads or stores around\"\n },\n {\n \"35874\": \"What does John have in his possession that confuses others\"\n },\n {\n \"35875\": \"What does he read about\"\n },\n {\n \"35876\": \"What does he not want to learn about\"\n },\n {\n \"35877\": \"What does he compare lightning to\"\n },\n {\n \"35878\": \"Has he ever seen an airplane\"\n },\n {\n \"35879\": \"What does he want to stay away from more than anything\"\n },\n {\n \"35880\": \"How old is John\"\n },\n {\n \"35881\": \"Has he ever had a sick day\"\n },\n {\n \"35882\": \"Why does he believe he\\u2019s lived so long\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35864\",\n \"answer\": \"John Williams\"\n },\n {\n \"question_id\": \"35865\",\n \"answer\": \"he went off to the mountains to live\"\n },\n {\n \"question_id\": \"35866\",\n \"answer\": \"he traps wild animals\"\n },\n {\n \"question_id\": \"35867\",\n \"answer\": \"he fishes in the rivers, and plants whatever he can\"\n },\n {\n \"question_id\": \"35868\",\n \"answer\": \"He did\"\n },\n {\n \"question_id\": \"35869\",\n \"answer\": \"a deer\"\n },\n {\n \"question_id\": \"35870\",\n \"answer\": \"in the house\"\n },\n {\n \"question_id\": \"35871\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"35872\",\n \"answer\": \"More than 40 years\"\n },\n {\n \"question_id\": \"35873\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35874\",\n \"answer\": \"books\"\n },\n {\n \"question_id\": \"35875\",\n \"answer\": \"his world\"\n },\n {\n \"question_id\": \"35876\",\n \"answer\": \"airplanes\"\n },\n {\n \"question_id\": \"35877\",\n \"answer\": \"electricity\"\n },\n {\n \"question_id\": \"35878\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"35879\",\n \"answer\": \"people\"\n },\n {\n \"question_id\": \"35880\",\n \"answer\": \"85\"\n },\n {\n \"question_id\": \"35881\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"35882\",\n \"answer\": \"the fact that it has nothing to do with people\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jake liked his old sneakers but they were getting too small. He tried on sixteen different pairs of shoes at the mall with his mom. He was looking for green shoes with blue laces. He couldn't find any he liked and left sad. His mom wanted to cheer him up. They stopped for lunch at a restaurant drive-thru. \"What do you want to order?\" asked Jake's Mom as she got a cheeseburger and a large drink. He ordered a hamburger. While they ate, Jake and his mom talked about different shoes Jake might try on next. He didn't want to go back to the store, but he really wanted green shoes. He ate some of her fries as he thought about it. Suddenly, his mom had a great idea. They would paint a pair of new shoes green! Jake loved that idea. So they went to the Art Store and bought green paint. They went back to the mall and bought new blue shoelaces and white sneakers. Jake was so excited about his shoes that he painted them as soon as he got home. Afterwards, he walked around the house in his new shoes dripping green paint.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93361\": \"What did Jake like?\"\n },\n {\n \"93362\": \"WHat was wrong with them?\"\n },\n {\n \"93363\": \"What did he do?\"\n },\n {\n \"93364\": \"for what?\"\n },\n {\n \"93365\": \"How many did he try?\"\n },\n {\n \"93366\": \"Who was he there with?\"\n },\n {\n \"93367\": \"What was he looking for?\"\n },\n {\n \"93368\": \"Did he find them?\"\n },\n {\n \"93369\": \"HOw did he feel?\"\n },\n {\n \"93370\": \"What did his mom do?\"\n },\n {\n \"93371\": \"What did she do?\"\n },\n {\n \"93372\": \"What did she ask him?\"\n },\n {\n \"93373\": \"What did he get\"\n },\n {\n \"93374\": \"How about her?\"\n },\n {\n \"93375\": \"What did they talk about?\"\n },\n {\n \"93376\": \"Did he want to go?\"\n },\n {\n \"93377\": \"What happened next?\"\n },\n {\n \"93378\": \"which was?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93361\",\n \"answer\": \"his old sneakers\"\n },\n {\n \"question_id\": \"93362\",\n \"answer\": \"too small.\"\n },\n {\n \"question_id\": \"93363\",\n \"answer\": \"went to the mall\"\n },\n {\n \"question_id\": \"93364\",\n \"answer\": \"to try on shoes\"\n },\n {\n \"question_id\": \"93365\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"93366\",\n \"answer\": \"his mom\"\n },\n {\n \"question_id\": \"93367\",\n \"answer\": \"green shoes with blue laces.\"\n },\n {\n \"question_id\": \"93368\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93369\",\n \"answer\": \"sad.\"\n },\n {\n \"question_id\": \"93370\",\n \"answer\": \"wanted to cheer him up.\"\n },\n {\n \"question_id\": \"93371\",\n \"answer\": \"stopped for lunch at a restaurant\"\n },\n {\n \"question_id\": \"93372\",\n \"answer\": \"What do you want to order\"\n },\n {\n \"question_id\": \"93373\",\n \"answer\": \"a hamburger\"\n },\n {\n \"question_id\": \"93374\",\n \"answer\": \"cheeseburger and a large drink\"\n },\n {\n \"question_id\": \"93375\",\n \"answer\": \"about different shoes Jake might try on next.\"\n },\n {\n \"question_id\": \"93376\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93377\",\n \"answer\": \"his mom had a great idea\"\n },\n {\n \"question_id\": \"93378\",\n \"answer\": \"They would paint a pair of new shoes green\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII \n\nTHE REAL THING AND NO MISTAKE \n\n\n\n'With asses all his time he spent, Their club's perpetual president, He caught their manners, looks, and airs-- An ass in everything but ears.' GAY. \n\nThe master of the house was unable to contribute much more than his name to the propriety of the arrival of the suitors, and this made Wilmet the more determined that Geraldine should precede them. Nor, since the half-crown must be disbursed on an escort for her, did the housewifely conscience object to the expedition, for Wilmet could not but long to thank the Superior and Sister Constance, and to obtain Dr. Lee's advice as to future management. Her coming was great joy to Cherry, who had dreaded the meeting almost with a sense of guilt, though still hoping Felix had been silent on her motive; and Wilmet did not betray him, but only treated her sister with a mixture of almost shy tenderness and reverence. Nor did Cherry dare to ask a question as to Wilmet's own affairs, nor even about Ferdinand Travis, lest she should seem to be leading in that direction. However, Wilmet, in a persuasive tone, communicated that Ferdinand had been long without writing, and though Cherry tried to be sorry for Alda, her spirit quailed at the state of temper her sister evidently meant to prepare her for. \n\nBut fate was more kind than she expected. That very Saturday brought both gentlemen, and by the same train. They made each other out as they were leaving their bags at the Fortinbras Arms, and arrived together in marked contrast--the tall, dark, regular-featured, soft- eyed Life-guardsman, and the little sandy, freckled, sun-dried engineer; and thus two courtships had to be carried on in the two rooms, only supplemented by the narrow parallelogram of a garden! For Ferdinand Travis was back again, rather amused at the family astonishment at the rapidity of his journey to America, which to his Transatlantic notions of travel was as nothing, and indeed had been chiefly performed in a big steamer, where he could smoke to his heart's content. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32717\": \"Who had just arrived?\"\n },\n {\n \"32718\": \"When did they arrive?\"\n },\n {\n \"32719\": \"how?\"\n },\n {\n \"32720\": \"Where did they stay?\"\n },\n {\n \"32721\": \"Their names?\"\n },\n {\n \"32722\": \"Who was he coming to see?\"\n },\n {\n \"32723\": \"Who lives in America?\"\n },\n {\n \"32724\": \"Where did they court?\"\n },\n {\n \"32725\": \"How was the garden?\"\n },\n {\n \"32726\": \"Who can get mad?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"32717\",\n \"answer\": \"suitors\"\n },\n {\n \"question_id\": \"32718\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"32719\",\n \"answer\": \"by train.\"\n },\n {\n \"question_id\": \"32720\",\n \"answer\": \"Fortinbras Arms\"\n },\n {\n \"question_id\": \"32721\",\n \"answer\": \"Ferdinand Travis\"\n },\n {\n \"question_id\": \"32722\",\n \"answer\": \"Wilmet\"\n },\n {\n \"question_id\": \"32723\",\n \"answer\": \"Ferdinand Travis\"\n },\n {\n \"question_id\": \"32724\",\n \"answer\": \"in two rooms\"\n },\n {\n \"question_id\": \"32725\",\n \"answer\": \"a narrow parallelogram\"\n },\n {\n \"question_id\": \"32726\",\n \"answer\": \"her sister\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VIII: PASSING THE OUBLIETTE \n\n\n\nWho can describe the dreariness of being snowed-up all the winter with such a mother-in-law as Freiherrinn Kunigunde? \n\nYet it was well that the snow came early, for it was the best defence of the lonely castle from any attack on the part of the Schlangenwaldern, the Swabian League, or the next heir, Freiherr Kasimir von Adlerstein Wildschloss. The elder Baroness had, at least, the merit of a stout heart, and, even with her sadly-reduced garrison, feared none of them. She had been brought up in the faith that Adlerstein was impregnable, and so she still believed; and, if the disaster that had cut off her husband and son was to happen at all, she was glad that it had befallen before the homage had been paid. Probably the Schlangenwald Count knew how tough a morsel the castle was like to prove, and Wildschloss was serving at a distance, for nothing was heard of either during the short interval while the roads were still open. During this time an attempt had been made through Father Norbert to ascertain what had become of the corpses of the two Barons and their followers, and it had appeared that the Count had carried them all off from the inn, no doubt to adorn his castle with their limbs, or to present them to the Emperor in evidence of his zeal for order. The old Baron could not indeed have been buried in consecrated ground, nor have masses said for him; but for the weal of her son's soul Dame Kunigunde gave some of her few ornaments, and Christina added her gold earrings, and all her scanty purse, that both her husband and father might be joined in the prayers of the Church--trying with all her might to put confidence in Hugh Sorel's Loretto relic, and the Indulgence he had bought, and trusting with more consolatory thoughts to the ever stronger dawnings of good she had watched in her own Eberhard. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95758\": \"Name one of the possible attackers of the castle?\"\n },\n {\n \"95759\": \"And another?\"\n },\n {\n \"95760\": \"Was the Baroness afraid of any of them?\"\n },\n {\n \"95761\": \"Even though what had been reduced ?\"\n },\n {\n \"95762\": \"Do you think that the narrator's mother-in-law is the Baroness?\"\n },\n {\n \"95763\": \"And what do you think Adlerstein is?\"\n },\n {\n \"95764\": \"When did the snow start this year?\"\n },\n {\n \"95765\": \"So what was the greatest thing that defended the castle?\"\n },\n {\n \"95766\": \"Which Dame is mentioned in the story?\"\n },\n {\n \"95767\": \"Did she give something?\"\n },\n {\n \"95768\": \"What did she give?\"\n },\n {\n \"95769\": \"Anything else?\"\n },\n {\n \"95770\": \"Did anyone else give something?\"\n },\n {\n \"95771\": \"Who was that?\"\n },\n {\n \"95772\": \"How many Barons were lost?\"\n },\n {\n \"95773\": \"Was anyone lost?\"\n },\n {\n \"95774\": \"What was the full name of the next heir?\"\n },\n {\n \"95775\": \"Who was it that they asked about the location of the bodies?\"\n },\n {\n \"95776\": \"And what was the guess about that?\"\n },\n {\n \"95777\": \"And what else Mmight the Count have done with them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"95758\",\n \"answer\": \"the Swabian League\"\n },\n {\n \"question_id\": \"95759\",\n \"answer\": \"Schlangenwaldern\"\n },\n {\n \"question_id\": \"95760\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95761\",\n \"answer\": \"garrison\"\n },\n {\n \"question_id\": \"95762\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95763\",\n \"answer\": \"the next heir\"\n },\n {\n \"question_id\": \"95764\",\n \"answer\": \"the snow came early\"\n },\n {\n \"question_id\": \"95765\",\n \"answer\": \"the snow\"\n },\n {\n \"question_id\": \"95766\",\n \"answer\": \"Christina\"\n },\n {\n \"question_id\": \"95767\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95768\",\n \"answer\": \"gold earrings\"\n },\n {\n \"question_id\": \"95769\",\n \"answer\": \"all her scanty purse\"\n },\n {\n \"question_id\": \"95770\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95771\",\n \"answer\": \"Kunigunde\"\n },\n {\n \"question_id\": \"95772\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"95773\",\n \"answer\": \"The old Baron\"\n },\n {\n \"question_id\": \"95774\",\n \"answer\": \"Freiherr Kasimir von Adlerstein Wildschloss.\"\n },\n {\n \"question_id\": \"95775\",\n \"answer\": \"Father Norbert\"\n },\n {\n \"question_id\": \"95776\",\n \"answer\": \"that the Count had carried them all off\"\n },\n {\n \"question_id\": \"95777\",\n \"answer\": \"adorn his castle with their limbs,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hangzhou, capital of Zhejiang Province, China, was chosen to be the host city of the 19th Asian Games . However, some people say that the 19th Asian Games will be held in 2022, while some say 2023. Which is true? To make it clear, we need to have a better understanding of Asian Games first. The Asian Games is a multi-sport event. It is held every four years among athletes from all over Asia. It is the second largest multi-sport event after the Olympic Games. The Asian Games are always held at the same year as the World Cup, which is also held every four years. Many people around the world pay more attention to the World Cup. This really makes the Olympic Council of Asia(OCA) worried. So, the OCA decides to _ the 18th Asian Games for a year. That is in 2019. In this way, the Asian Games won't be held in the same year as the World Cup. So Hangzhou will hold the event in 2023. Hanoi , capital of Vietnam , is the host city of the 18th Asian Games. However, Vietnamese government announced in 2014 that Hanoi gave up the right to host the Asian Games because they don't have enough money. Luckily, Djakarta , capital of Indonesia , was willing to be the host city instead of Hanoi. But then came another problem. Djakarta will hold presidential election in 2019, so the government wanted to change the holding time of the Asian Games back to 2018. The OCA agreed.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39515\": \"When is the election?\"\n },\n {\n \"39516\": \"What is the vote for?\"\n },\n {\n \"39517\": \"Of what nation?\"\n },\n {\n \"39518\": \"Djakarta is the capitol of which nation?\"\n },\n {\n \"39519\": \"Which nation forfeited the right to the tournament?\"\n },\n {\n \"39520\": \"In what year?\"\n },\n {\n \"39521\": \"What is it's capitol?\"\n },\n {\n \"39522\": \"Where will it be in 2023?\"\n },\n {\n \"39523\": \"Where is that located?\"\n },\n {\n \"39524\": \"How often are they held?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39515\",\n \"answer\": \"2019\"\n },\n {\n \"question_id\": \"39516\",\n \"answer\": \"a president\"\n },\n {\n \"question_id\": \"39517\",\n \"answer\": \"Djakarta\"\n },\n {\n \"question_id\": \"39518\",\n \"answer\": \"Indonesia\"\n },\n {\n \"question_id\": \"39519\",\n \"answer\": \"Vietnam\"\n },\n {\n \"question_id\": \"39520\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"39521\",\n \"answer\": \"Hanoi\"\n },\n {\n \"question_id\": \"39522\",\n \"answer\": \"Hangzhou\"\n },\n {\n \"question_id\": \"39523\",\n \"answer\": \"in Zhejiang Province, China\"\n },\n {\n \"question_id\": \"39524\",\n \"answer\": \"every four 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 I \n\nI SET OFF UPON MY JOURNEY TO THE HOUSE OF SHAWS \n\nI will begin the story of my adventures with a certain morning early in the month of June, the year of grace 1751, when I took the key for the last time out of the door of my father's house. The sun began to shine upon the summit of the hills as I went down the road; and by the time I had come as far as the manse, the blackbirds were whistling in the garden lilacs, and the mist that hung around the valley in the time of the dawn was beginning to arise and die away. \n\nMr. Campbell, the minister of Essendean, was waiting for me by the garden gate, good man! He asked me if I had breakfasted; and hearing that I lacked for nothing, he took my hand in both of his and clapped it kindly under his arm. \n\n\"Well, Davie, lad,\" said he, \"I will go with you as far as the ford, to set you on the way.\" And we began to walk forward in silence. \n\n\"Are ye sorry to leave Essendean?\" said he, after awhile. \n\n\"Why, sir,\" said I, \"if I knew where I was going, or what was likely to become of me, I would tell you candidly. Essendean is a good place indeed, and I have been very happy there; but then I have never been anywhere else. My father and mother, since they are both dead, I shall be no nearer to in Essendean than in the Kingdom of Hungary, and, to speak truth, if I thought I had a chance to better myself where I was going I would go with a good will.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75732\": \"Who waited for someone?\"\n },\n {\n \"75733\": \"Where at?\"\n },\n {\n \"75734\": \"What was he?\"\n },\n {\n \"75735\": \"Of what?\"\n },\n {\n \"75736\": \"Who did he wait for?\"\n },\n {\n \"75737\": \"Was it a warm meeting?\"\n },\n {\n \"75738\": \"Had Davie had breakfast?\"\n },\n {\n \"75739\": \"Where would they be parting ways?\"\n },\n {\n \"75740\": \"Does Davie like where he lives?\"\n },\n {\n \"75741\": \"Are his parent alive?\"\n },\n {\n \"75742\": \"Is he strongly attached to where he lives?\"\n },\n {\n \"75743\": \"What time of the year was it?\"\n },\n {\n \"75744\": \"What year?\"\n },\n {\n \"75745\": \"Was it rainy?\"\n },\n {\n \"75746\": \"Then what was it like?\"\n },\n {\n \"75747\": \"What were the birds doing?\"\n },\n {\n \"75748\": \"Where?\"\n },\n {\n \"75749\": \"What kind of birds were they?\"\n },\n {\n \"75750\": \"Was he on a hill?\"\n },\n {\n \"75751\": \"What was fading?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75732\",\n \"answer\": \"Mr. Campbell\"\n },\n {\n \"question_id\": \"75733\",\n \"answer\": \"by the garden gate\"\n },\n {\n \"question_id\": \"75734\",\n \"answer\": \"a minister\"\n },\n {\n \"question_id\": \"75735\",\n \"answer\": \"Essendean\"\n },\n {\n \"question_id\": \"75736\",\n \"answer\": \"Davie\"\n },\n {\n \"question_id\": \"75737\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75738\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75739\",\n \"answer\": \"the ford\"\n },\n {\n \"question_id\": \"75740\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75741\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75742\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75743\",\n \"answer\": \"June\"\n },\n {\n \"question_id\": \"75744\",\n \"answer\": \"1751\"\n },\n {\n \"question_id\": \"75745\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75746\",\n \"answer\": \"The sun was shining\"\n },\n {\n \"question_id\": \"75747\",\n \"answer\": \"whistling\"\n },\n {\n \"question_id\": \"75748\",\n \"answer\": \"in the garden lilacs\"\n },\n {\n \"question_id\": \"75749\",\n \"answer\": \"blackbirds\"\n },\n {\n \"question_id\": \"75750\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75751\",\n \"answer\": \"the mist\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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, a horse, a cow, a ox, and a donkey were playing outside when they got really hungry. So, they went to a drive-in to get some lunch. The horse ordered a cheeseburger. The cow ordered a chili dog. The ox ordered a chicken sandwich. And the donkey ordered a fish sandwich. The horse ordered fries. The cow ordered onion rings. The ox ordered a baked potato. The donkey ordered a side salad. The horse had ketchup on his cheeseburger. The cow had mayonnaise on his chili dog. The ox had mustard on his chicken sandwich. And the donkey had Miracle Whip on his fish sandwich. But the restaurant didn't get any of the orders right because they had their sauces mixed up. The ketchup got mixed up with the Miracle Whip. The mayonnaise got mixed up with the ketchup. The mustard got mixed up with the mayonnaise. And the Miracle Whip got mixed up with the mustard. The Miracle Whip was red. The ketchup was yellow. The mayonnaise was blue. And the mustard was green.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22788\": \"How many were playing outside?\"\n },\n {\n \"22789\": \"What happened while they were playing?\"\n },\n {\n \"22790\": \"Where did they go?\"\n },\n {\n \"22791\": \"Who ordered the fish?\"\n },\n {\n \"22792\": \"Did it have mayo on it?\"\n },\n {\n \"22793\": \"What did it have on it?\"\n },\n {\n \"22794\": \"Did anyone have a salad?\"\n },\n {\n \"22795\": \"What did the horse have?\"\n },\n {\n \"22796\": \"Did it have mustard on it?\"\n },\n {\n \"22797\": \"Where they satisfied with their orders?\"\n },\n {\n \"22798\": \"Was the ketchup blue?\"\n },\n {\n \"22799\": \"What color was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22788\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"22789\",\n \"answer\": \"they got hungry.\"\n },\n {\n \"question_id\": \"22790\",\n \"answer\": \"the drive-in\"\n },\n {\n \"question_id\": \"22791\",\n \"answer\": \"the donkey\"\n },\n {\n \"question_id\": \"22792\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22793\",\n \"answer\": \"Miracle Whip\"\n },\n {\n \"question_id\": \"22794\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22795\",\n \"answer\": \"a cheeseburger.\"\n },\n {\n \"question_id\": \"22796\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22797\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22798\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22799\",\n \"answer\": \"yellow.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER V \n\nNigel and Maggie had tea together in the little room which the latter had used as a boudoir. They were discussing the question of her future residence there. \n\n\"I am afraid,\" he declared, \"that you will have to marry me.\" \n\n\"It would have its advantages,\" she admitted thoughtfully. \"I am really so fond of you, Nigel. I should be married at St. Mary Abbot's, Kensington, and have the Annersley children for bridesmaids. Don't you think I should look sweet in old gold and orange blossoms?\" \n\n\"Don't tantalise me,\" he begged. \n\n\"We really must decide upon something,\" she insisted. \"I hate giving up my rooms here, I should hate having my worthy aunt as resident duenna, and I suppose it would be gloriously improper for us two to go on living here if I didn't. Are you quite sure that you love me, Nigel?\" \n\n\"I am not quite so sure as I was this morning,\" he confessed, holding out his cup for some more tea. \"I met a perfectly adorable girl to-day at luncheon at the Ritz. Such eyes, Maggie, and the slimmest, most wonderful figure you ever saw!\" \n\n\"Who was the cat?\" Maggie enquired with asperity. \n\n\"She is Russian. Her name is Naida Karetsky. Karschoff introduced me.\" \n\nMaggie was suddenly serious. There was just a trace of the one expression he had never before seen in her face--fear--lurking in her eyes, even asserting itself in her tone. \n\n\"Naida Karetsky?\" she repeated. \"Tell me exactly how you met her?\" \n\n\"She was lunching with her father and Oscar Immelan. She stopped to speak to Karschoff and asked him to present me. Afterwards, she invited us to take coffee in the lounge.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51079\": \"Who had used the room as a boudoir?\"\n },\n {\n \"51080\": \"What does Maggie think she would look nice wearing?\"\n },\n {\n \"51081\": \"What is the name of the girl Nigel saw?\"\n },\n {\n \"51082\": \"Was Maggie happy to hear of this?\"\n },\n {\n \"51083\": \"Did she seem afraid, too?\"\n },\n {\n \"51084\": \"What nationality is Naida?\"\n },\n {\n \"51085\": \"Who was she eating with?\"\n },\n {\n \"51086\": \"Who introduced Naida to Nigel?\"\n },\n {\n \"51087\": \"Where does Maggie wish to be wed?\"\n },\n {\n \"51088\": \"Does she like Nigel?\"\n },\n {\n \"51089\": \"Is Nigel sure he loves Maggie?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"51079\",\n \"answer\": \"Nigel and Maggie\"\n },\n {\n \"question_id\": \"51080\",\n \"answer\": \"old gold and orange blossoms\"\n },\n {\n \"question_id\": \"51081\",\n \"answer\": \"Naida Karetsky\"\n },\n {\n \"question_id\": \"51082\",\n \"answer\": \"Maggie was suddenly serious\"\n },\n {\n \"question_id\": \"51083\",\n \"answer\": \"in her face--fear\"\n },\n {\n \"question_id\": \"51084\",\n \"answer\": \"Russian\"\n },\n {\n \"question_id\": \"51085\",\n \"answer\": \"Karschoff\"\n },\n {\n \"question_id\": \"51086\",\n \"answer\": \"Karschoff\"\n },\n {\n \"question_id\": \"51087\",\n \"answer\": \"St. Mary Abbot's\"\n },\n {\n \"question_id\": \"51088\",\n \"answer\": \"I am really so fond of you\"\n },\n {\n \"question_id\": \"51089\",\n \"answer\": \"that you will have to marry me\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n You might think that Olympic athletes are the healthiest people in the world. It's true that many are. However, it's also true that many Olympic athletes had to overcome illnesses early in their lives. One excellent example is Wilma Rudolph. She competed in track-and-field events in the 1960 Olympics. She didn't win just one gold. She won three. At the time, people called her \"the fastest woman in the world.\" As a young child, Wilma could not take part in sports. She had a series of serious illnesses, and then, at the age of 4, she got _ . She lost the use of her left leg, and the doctor said she would never walk again. The people in Wilma's family did everything they could to help her walk again. Wilma and her mother often traveled 100 miles to get treatments for her leg. Her brothers and sisters took turns giving her leg a daily massage. Four times a day, they helped her do special exercises for her leg. Amazingly, by the time Wilma was 9 years old, she was able to walk again. Before long, she started playing basketball and running. In high school, she was a track star and then she went to the Olympics. Wilma stopped being a runner when she was 22 years old. She then became a teacher and track coach. Her story encouraged many people to work hard and to overcome difficulties.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13036\": \"When did she quit running?\"\n },\n {\n \"13037\": \"What did she do next?\"\n },\n {\n \"13038\": \"Was she inspirational?\"\n },\n {\n \"13039\": \"Who is the article about?\"\n },\n {\n \"13040\": \"Has she vied for an Olympic medal?\"\n },\n {\n \"13041\": \"Did she win any?\"\n },\n {\n \"13042\": \"How many?\"\n },\n {\n \"13043\": \"Was she a healthy girl?\"\n },\n {\n \"13044\": \"What did she lose when four years old?\"\n },\n {\n \"13045\": \"Did the physician believe that she would walk again?\"\n },\n {\n \"13046\": \"Was she able to overcome this?\"\n },\n {\n \"13047\": \"At what age?\"\n },\n {\n \"13048\": \"Could she get treated locally?\"\n },\n {\n \"13049\": \"How far did she have to go?\"\n },\n {\n \"13050\": \"Who went with her?\"\n },\n {\n \"13051\": \"Who gave her massages?\"\n },\n {\n \"13052\": \"How often?\"\n },\n {\n \"13053\": \"How often each day?\"\n },\n {\n \"13054\": \"Were they successful?\"\n },\n {\n \"13055\": \"What sport was she in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13036\",\n \"answer\": \"when she was 22\"\n },\n {\n \"question_id\": \"13037\",\n \"answer\": \"became a teacher and coach\"\n },\n {\n \"question_id\": \"13038\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13039\",\n \"answer\": \"Wilma Rudolph\"\n },\n {\n \"question_id\": \"13040\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13041\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13042\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"13043\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13044\",\n \"answer\": \"the use of her left leg\"\n },\n {\n \"question_id\": \"13045\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13047\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"13048\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13049\",\n \"answer\": \"100 miles\"\n },\n {\n \"question_id\": \"13050\",\n \"answer\": \"her mother\"\n },\n {\n \"question_id\": \"13051\",\n \"answer\": \"Her brothers and sisters\"\n },\n {\n \"question_id\": \"13052\",\n \"answer\": \"daily\"\n },\n {\n \"question_id\": \"13053\",\n \"answer\": \"once\"\n },\n {\n \"question_id\": \"13054\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13055\",\n \"answer\": \"basketball and track\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Connecticut woman attacked Monday by her friend's pet chimpanzee was taken Thursday from a Connecticut hospital to the famed Cleveland Clinic in Ohio, a hospital spokeswoman said. She would not divulge the victim's condition nor the reason for the move. \n\nTravis, seen here as a younger chimp, was fatally shot by police after attacking Nash, authorities say. \n\nCharla Nash, 55, was transferred by airplane and ambulance to the clinic, where doctors in December performed the first facial transplant in the United States. \n\nThe attack has raised questions about whether exotic animals should be kept as pets. Connecticut Attorney General Richard Blumenthal said Wednesday that primates and crocodiles should be added to a state list of animals citizens are not allowed to own. \n\nNash initially was taken to Stamford Hospital, where she underwent seven hours of surgery after she was attacked by the 14-year-old chimp, named Travis. \n\nNash's friend, Sandra Herold, 70, had called Nash for help in getting the animal back inside her house after he used a key to escape. \n\nWhen Nash arrived at Herold's Stamford home, the chimp, who has been featured in TV commercials for Coca-Cola and Old Navy, jumped on her and began biting and mauling her, police said. \n\nDoctors said Wednesday that Nash had received extensive injuries to her face and hands. \n\nA Stamford police officer fatally shot the nearly 200-pound chimp after the primate turned on him inside a police cruiser, police said. \n\nHerold told reporters at her home that she and the chimp slept together and that she considered him like a son. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37830\": \"What attacked the woman?\"\n },\n {\n \"37831\": \"Was it wild?\"\n },\n {\n \"37832\": \"Did it have a name?\"\n },\n {\n \"37833\": \"How old was the victim?\"\n },\n {\n \"37834\": \"What state did it happen in?\"\n },\n {\n \"37835\": \"Where did they take her after the attack?\"\n },\n {\n \"37836\": \"What did they do to help her there?\"\n },\n {\n \"37837\": \"How old was the chimp?\"\n },\n {\n \"37838\": \"Who owned him?\"\n },\n {\n \"37839\": \"How did Travis get out of her house?\"\n },\n {\n \"37840\": \"What did he do to Nash?\"\n },\n {\n \"37841\": \"Then what?\"\n },\n {\n \"37842\": \"Did he try to attack anyone else?\"\n },\n {\n \"37843\": \"Who?\"\n },\n {\n \"37844\": \"Where?\"\n },\n {\n \"37845\": \"What did the officer do?\"\n },\n {\n \"37846\": \"Did he survive?\"\n },\n {\n \"37847\": \"How big was he?\"\n },\n {\n \"37848\": \"Had he been sleeping in bed with his owner?\"\n },\n {\n \"37849\": \"Were they like family?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37830\",\n \"answer\": \"Chimpanzee\"\n },\n {\n \"question_id\": \"37831\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"37832\",\n \"answer\": \"Travis\"\n },\n {\n \"question_id\": \"37833\",\n \"answer\": \"55,\"\n },\n {\n \"question_id\": \"37834\",\n \"answer\": \"Connecticut\"\n },\n {\n \"question_id\": \"37835\",\n \"answer\": \"Stamford Hospital\"\n },\n {\n \"question_id\": \"37836\",\n \"answer\": \"Surgery\"\n },\n {\n \"question_id\": \"37837\",\n \"answer\": \"14-\"\n },\n {\n \"question_id\": \"37838\",\n \"answer\": \"Sandra Herold\"\n },\n {\n \"question_id\": \"37839\",\n \"answer\": \"A key\"\n },\n {\n \"question_id\": \"37840\",\n \"answer\": \"Jumped on her.\"\n },\n {\n \"question_id\": \"37841\",\n \"answer\": \"Began biting and mauling her,\"\n },\n {\n \"question_id\": \"37842\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"37843\",\n \"answer\": \"A police officer.\"\n },\n {\n \"question_id\": \"37844\",\n \"answer\": \"Inside the police car.\"\n },\n {\n \"question_id\": \"37845\",\n \"answer\": \"Shot him.\"\n },\n {\n \"question_id\": \"37846\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"37847\",\n \"answer\": \"Nearly 200 pounds.\"\n },\n {\n \"question_id\": \"37848\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"37849\",\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) -- Robert Zimmerman Jr., the brother of the man who shot and killed 17-year-old Trayvon Martin, apologized for his controversial and offensive tweets. \n\nIn one, Zimmerman juxtaposed a photograph of Martin with one of 17-year-old De'Marquise Elkins, one of two teenagers charged with killing a baby in Georgia. \n\nBoth Elkins and Martin appear to be flipping off the camera. \n\n\"A picture speaks a thousand words. Any questions?\" the tweet reads. \n\nIn another tweet, Zimmerman writes: \"Lib media shld ask if what these2 black teens did 2 a woman&baby is the reason ppl think blacks mightB risky.\" \n\nSpeaking on CNN's Piers Morgan Live on Wednesday night, he apologized for the messages, saying they weren't the \"right thing to do.\" \n\n\"I realize those were controversial and offensive and I did publicly apologize for them,\" he said. \"I'm a human being. I'm being upfront about what I did. I made a mistake ... Unfortunately (it) may not have helped George.\" \n\n5 things to know about the case \n\nHis brother, George Zimmerman, has been charged with second-degree murder. Zimmerman acknowledged shooting Martin but said it was in self-defense. Attorneys for Martin's family have accused Zimmerman of racially profiling Martin and shooting him \"in cold blood.\" \n\nRobert Zimmerman Jr. said he was trying to make a larger point in his tweets about the \"media and their honesty in portraying the person who encountered my brother February 26, 2012. \n\nLetters to Zimmerman show split opinions \n\n\"We've been led to believe that it's a junior-high-school-aged person because of the pictures,\" he said, referring to Martin. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49104\": \"How old was Trayvon Martin?\"\n },\n {\n \"49105\": \"What happened to him?\"\n },\n {\n \"49106\": \"Did he survive?\"\n },\n {\n \"49107\": \"Who apologized for his tweets?\"\n },\n {\n \"49108\": \"Who is he related to?\"\n },\n {\n \"49109\": \"What are Elkins and Martin doing?\"\n },\n {\n \"49110\": \"What is the charge in the case?\"\n },\n {\n \"49111\": \"What shoe did the tweeter appear on?\"\n },\n {\n \"49112\": \"What is George Zimmerman charged with?\"\n },\n {\n \"49113\": \"Did he admit he had done it?\"\n },\n {\n \"49114\": \"Did he say it was self defense?\"\n },\n {\n \"49115\": \"When did the shooting occur?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49104\",\n \"answer\": \"17.\"\n },\n {\n \"question_id\": \"49105\",\n \"answer\": \"He was shot.\"\n },\n {\n \"question_id\": \"49106\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"49107\",\n \"answer\": \"Robert Zimmerman Jr.\"\n },\n {\n \"question_id\": \"49108\",\n \"answer\": \"George Zimmerman.\"\n },\n {\n \"question_id\": \"49109\",\n \"answer\": \"Flipping off the camera.\"\n },\n {\n \"question_id\": \"49110\",\n \"answer\": \"Killing a baby.\"\n },\n {\n \"question_id\": \"49111\",\n \"answer\": \"Piers Morgan Live.\"\n },\n {\n \"question_id\": \"49112\",\n \"answer\": \"Second-degree murder.\"\n },\n {\n \"question_id\": \"49113\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49114\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49115\",\n \"answer\": \"2012.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Baptism (from the Greek noun βάπτισμα \"baptisma\"; see below) is a Christian sacrament of admission and adoption, almost invariably with the use of water, into the Christian Church generally. The canonical Gospels report that Jesus was baptized—a historical event to which a high degree of certainty can be assigned. Baptism has been called a holy sacrament and an ordinance of Jesus Christ. In some denominations, baptism is also called christening, but for others the word \"christening\" is reserved for the baptism of infants. Baptism has also given its name to the Baptist churches and denominations. \n\nThe usual form of baptism among the earliest Christians was for the candidate to be immersed, either totally (submerged completely under the water) or partially (standing or kneeling in water while water was poured on him or her). While John the Baptist's use of a deep river for his baptism suggests immersion, \"The fact that he chose a permanent and deep river suggests that more than a token quantity of water was needed, and both the preposition 'in' (the Jordan) and the basic meaning of the verb 'baptize' probably indicate immersion. In v. 16, Matthew will speak of Jesus 'coming up out of the water'. The traditional depiction in Christian art of John the Baptist pouring water over Jesus' head may therefore be based on later Christian practice.\" Pictorial and archaeological evidence of Christian baptism from the 3rd century onward indicates that a normal form was to have the candidate stand in water while water was poured over the upper body. Other common forms of baptism now in use include pouring water three times on the forehead, a method called affusion.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3030\": \"Which Greek word is associated with baptism?\"\n },\n {\n \"3031\": \"Is baptism always christening?\"\n },\n {\n \"3032\": \"What is affusion?\"\n },\n {\n \"3033\": \"Who used a deep river?\"\n },\n {\n \"3034\": \"What kind of baptism do we think he practiced\"\n },\n {\n \"3035\": \"Is there archaeological evidence of baptism?\"\n },\n {\n \"3036\": \"From when?\"\n },\n {\n \"3037\": \"What form of baptism does it indicate?\"\n },\n {\n \"3038\": \"Was Jesus baptised?\\\\\"\n },\n {\n \"3039\": \"By who?\"\n },\n {\n \"3040\": \"What's the traditional depiction of that?\"\n },\n {\n \"3041\": \"Which river did John use?\"\n },\n {\n \"3042\": \"What was its name?\"\n },\n {\n \"3043\": \"What does Matthew say about Jesus in v. 16?\"\n },\n {\n \"3044\": \"Do we have a high degree of certainty about the baptism of Jesus?\"\n },\n {\n \"3045\": \"Who or what reports the baptism of Jesus?\"\n },\n {\n \"3046\": \"Has it been called an ordinance of Jesus?\"\n },\n {\n \"3047\": \"It's a Christian sacrament of what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3030\",\n \"answer\": \"baptisma\"\n },\n {\n \"question_id\": \"3031\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3032\",\n \"answer\": \"pouring water three times on the forehead\"\n },\n {\n \"question_id\": \"3033\",\n \"answer\": \"John the Baptist\"\n },\n {\n \"question_id\": \"3034\",\n \"answer\": \"immersion\"\n },\n {\n \"question_id\": \"3035\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3036\",\n \"answer\": \"the 3rd century onward\"\n },\n {\n \"question_id\": \"3037\",\n \"answer\": \"a normal form was to have the candidate stand in water while water was poured over the upper body\"\n },\n {\n \"question_id\": \"3038\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3039\",\n \"answer\": \"John the Baptist\"\n },\n {\n \"question_id\": \"3040\",\n \"answer\": \"John the Baptist pouring water over Jesus' head\"\n },\n {\n \"question_id\": \"3041\",\n \"answer\": \"a permanent and deep river\"\n },\n {\n \"question_id\": \"3042\",\n \"answer\": \"the Jordan\"\n },\n {\n \"question_id\": \"3043\",\n \"answer\": \"of Jesus 'coming up out of the water'\"\n },\n {\n \"question_id\": \"3044\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3045\",\n \"answer\": \"The canonical Gospels\"\n },\n {\n \"question_id\": \"3046\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3047\",\n \"answer\": \"of admission and adoption\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 1936 Summer Olympics (German: \"Olympische Sommerspiele 1936\"), officially known as the Games of the XI Olympiad, was an international multi-sport event that was held in 1936 in Berlin, Germany. Berlin won the bid to host the Games over Barcelona, Spain, on 26 April 1931, at the 29th IOC Session in Barcelona (two years before the Nazis came to power). It marked the second and final time the International Olympic Committee gathered to vote in a city that was bidding to host those Games. \n\nTo outdo the Los Angeles games of 1932, Adolf Hitler had built a new 100,000-seat track and field stadium, six gymnasiums, and many other smaller arenas. The games were the first to be televised, and radio broadcasts reached 41 countries. Filmmaker Leni Riefenstahl was commissioned by the German Olympic Committee to film the Games for $7 million. Her film, titled \"Olympia\", pioneered many of the techniques now common in the filming of sports. \n\nReich Chancellor Adolf Hitler saw the Games as an opportunity to promote his government and ideals of racial supremacy and antisemitism, and the official Nazi party paper, the \"Völkischer Beobachter\", wrote in the strongest terms that Jews should not be allowed to participate in the Games. When threatened with a boycott of the Games by other nations, Hitler appeared to allow athletes of other ethnicities from other countries to participate. However German Jewish athletes were barred or prevented from taking part by a variety of methods and Jewish athletes from other countries (notably the US) seem to have been side-lined in order not to offend the Nazi government.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63676\": \"How many times did the IOC take the vote in a country hoping to be the host?\"\n },\n {\n \"63677\": \"When was they last time?\"\n },\n {\n \"63678\": \"Where was the vote held?\"\n },\n {\n \"63679\": \"Who won the vote\"\n },\n {\n \"63680\": \"Who lost?\"\n },\n {\n \"63681\": \"Which games were they voting on?\"\n },\n {\n \"63682\": \"Where was the last one held?\"\n },\n {\n \"63683\": \"Did Germany use an old building for the games?\"\n },\n {\n \"63684\": \"Who recorded the event?\"\n },\n {\n \"63685\": \"Did she get paid?\"\n },\n {\n \"63686\": \"How much?\"\n },\n {\n \"63687\": \"Who paid her?\"\n },\n {\n \"63688\": \"What did she call the movie?\"\n },\n {\n \"63689\": \"Do people still use her methods?\"\n },\n {\n \"63690\": \"To record what?\"\n },\n {\n \"63691\": \"Who was going to boycott?\"\n },\n {\n \"63692\": \"Who were they boycotting for?\"\n },\n {\n \"63693\": \"Who was not allowed in the games?\"\n },\n {\n \"63694\": \"What about Jews in the US?\"\n },\n {\n \"63695\": \"Why/\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63676\",\n \"answer\": \"twice\"\n },\n {\n \"question_id\": \"63677\",\n \"answer\": \"on 26 April 1931\"\n },\n {\n \"question_id\": \"63678\",\n \"answer\": \"in Barcelona\"\n },\n {\n \"question_id\": \"63679\",\n \"answer\": \"Berlin\"\n },\n {\n \"question_id\": \"63680\",\n \"answer\": \"Barcelona, Spain\"\n },\n {\n \"question_id\": \"63681\",\n \"answer\": \"The 1936 Summer Olympics\"\n },\n {\n \"question_id\": \"63682\",\n \"answer\": \"Los Angeles\"\n },\n {\n \"question_id\": \"63683\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63684\",\n \"answer\": \"Leni Riefenstahl\"\n },\n {\n \"question_id\": \"63685\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63686\",\n \"answer\": \"$7 million\"\n },\n {\n \"question_id\": \"63687\",\n \"answer\": \"the German Olympic Committee\"\n },\n {\n \"question_id\": \"63688\",\n \"answer\": \"Olympia\"\n },\n {\n \"question_id\": \"63689\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63690\",\n \"answer\": \"sports\"\n },\n {\n \"question_id\": \"63691\",\n \"answer\": \"other nations\"\n },\n {\n \"question_id\": \"63692\",\n \"answer\": \"Jews\"\n },\n {\n \"question_id\": \"63693\",\n \"answer\": \"German Jewish athletes\"\n },\n {\n \"question_id\": \"63694\",\n \"answer\": \"they were side-lined\"\n },\n {\n \"question_id\": \"63695\",\n \"answer\": \"to not offend the Nazi government\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 7. THE LION AND THE LAMB \n\nWhen the boys were gone a lull fell upon Plumfield, and the family scattered to various places for brief outings, as August had come and all felt the need of change. The Professor took Mrs Jo to the mountains. The Laurences were at the seashore, and there Meg's family and the Bhaer boys took turns to visit, as someone must always be at home to keep things in order. \n\nMrs Meg, with Daisy, was in office when the events occurred which we are about to relate. Rob and Ted were just up from Rocky Nook, and Nan was passing a week with her friend as the only relaxation she allowed herself. Demi was off on a run with Tom, so Rob was man of the house, with old Silas as general overseer. The sea air seemed to have gone to Ted's head, for he was unusually freakish, and led his gentle aunt and poor Rob a life of it with his pranks. Octoo was worn out with the wild rides he took, and Don openly rebelled when ordered to leap and show off his accomplishments; while the girls at college were both amused and worried by the ghosts who haunted the grounds at night, the unearthly melodies that disturbed their studious hours, and the hairbreadth escapes of this restless boy by flood and field and fire. Something happened at length which effectually sobered Ted and made a lasting impression on both the boys; for sudden danger and a haunting fear turned the Lion into a lamb and the Lamb into a lion, as far as courage went. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59800\": \"What fell on Plumfiled?\"\n },\n {\n \"59801\": \"Who did the professor take to the Mountains?\"\n },\n {\n \"59802\": \"Were the Laurences at the seashore?\"\n },\n {\n \"59803\": \"When everything occured where was Mrs. Meg & Daisy?\"\n },\n {\n \"59804\": \"Why was Rob the man of the house?\"\n },\n {\n \"59805\": \"What were the girls in college worried about?\"\n },\n {\n \"59806\": \"what turned the lion into a lamb and the lamb into a lion\"\n },\n {\n \"59807\": \"who is Silas\"\n },\n {\n \"59808\": \"Was Octoo worn out?\"\n },\n {\n \"59809\": \"What did Don do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"59800\",\n \"answer\": \"a lull\"\n },\n {\n \"question_id\": \"59801\",\n \"answer\": \"Mrs Jo\"\n },\n {\n \"question_id\": \"59802\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59803\",\n \"answer\": \"in office\"\n },\n {\n \"question_id\": \"59804\",\n \"answer\": \"Demi was off on a run with Tom\"\n },\n {\n \"question_id\": \"59805\",\n \"answer\": \"ghosts\"\n },\n {\n \"question_id\": \"59806\",\n \"answer\": \"sudden danger and a haunting fear\"\n },\n {\n \"question_id\": \"59807\",\n \"answer\": \"general overseer\"\n },\n {\n \"question_id\": \"59808\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"59809\",\n \"answer\": \"openly rebelled\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Philosophical empiricists hold no knowledge to be properly inferred or deduced unless it is derived from one's sense-based experience. This view is commonly contrasted with rationalism, which states that knowledge may be derived from reason independently of the senses. For example, John Locke held that some knowledge (e.g. knowledge of God's existence) could be arrived at through intuition and reasoning alone. Similarly Robert Boyle, a prominent advocate of the experimental method, held that we have innate ideas. The main continental rationalists (Descartes, Spinoza, and Leibniz) were also advocates of the empirical \"scientific method\". \n\nAristotle's explanation of how this was possible was not strictly empiricist in a modern sense, but rather based on his theory of potentiality and actuality, and experience of sense perceptions still requires the help of the active nous. These notions contrasted with Platonic notions of the human mind as an entity that pre-existed somewhere in the heavens, before being sent down to join a body on Earth (see Plato's Phaedo and Apology, as well as others). Aristotle was considered to give a more important position to sense perception than Plato, and commentators in the Middle Ages summarized one of his positions as \"nihil in intellectu nisi prius fuerit in sensu\" (Latin for \"nothing in the intellect without first being in the senses\").\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13175\": \"Where does their knowledge come from?\"\n },\n {\n \"13176\": \"What is this generally contrasted with?\"\n },\n {\n \"13177\": \"what is that?\"\n },\n {\n \"13178\": \"what is Aristotle's explanation?\"\n },\n {\n \"13179\": \"based on what?\"\n },\n {\n \"13180\": \"was Plato's position more important?\"\n },\n {\n \"13181\": \"how did commentators summarize this?\"\n },\n {\n \"13182\": \"what is that in Latin?\"\n },\n {\n \"13183\": \"what wasn't emipiricist?\"\n },\n {\n \"13184\": \"who had knowledge of God's existence?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13175\",\n \"answer\": \"one's sense-based experience\"\n },\n {\n \"question_id\": \"13176\",\n \"answer\": \"rationalism\"\n },\n {\n \"question_id\": \"13177\",\n \"answer\": \"knowledge may be derived from reason independent of senses\"\n },\n {\n \"question_id\": \"13178\",\n \"answer\": \"experience of sense perceptions still requires the help of the active nous\"\n },\n {\n \"question_id\": \"13179\",\n \"answer\": \"his theory of potentiality and actuality\"\n },\n {\n \"question_id\": \"13180\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13181\",\n \"answer\": \"nothing in the intellect without first being in the senses\"\n },\n {\n \"question_id\": \"13182\",\n \"answer\": \"nihil in intellectu nisi prius fuerit in sensu\"\n },\n {\n \"question_id\": \"13183\",\n \"answer\": \"Aristotle's explanation\"\n },\n {\n \"question_id\": \"13184\",\n \"answer\": \"unknown\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Some thought it was a bomb. Others thought it was the commuter train that runs behind their buildings jumping the tracks. \n\nIt shook upper Manhattan for blocks -- and when it was over, a five-story apartment building and its neighbor were gone. \n\nAfter Wednesday morning's deadly building explosion in East Harlem, squads of firefighters dug through piles of shattered bricks and beams. Ladder trucks sprayed water into the gap where the buildings once stood. As Detective Martin Speechly, a New York police spokesman, put it: \"1644 Park Avenue appears not to be there anymore.\" \n\nAlong with that five-story apartment building, with a Latino evangelical church on the first floor, a neighboring piano store and the four floors above it collapsed in the blast. \n\nOne nearby resident, Angelica Avila, told CNN she was trapped in her apartment down the block for a short time afterward. Her stepmother had to sneak in through the back to try and open the door for her, she said. \n\n\"My neighbors came banging on my door. I guess they were evacuating the building, and I couldn't get out -- my door was jammed,\" she said. \"Everything off my windowsill fell, and I guess the impact of the explosion jammed the door as well.\" \n\nSomething similar happened to Aisha Watts, who had just returned to her apartment in one of the adjoining buildings after taking her children to school. Then the windows broke out, and \"the walls came tumbling down,\" Watts said. \n\nA neighbor helped her out of her apartment, because the door was stuck in its frame. And she and her neighbors will have to find someplace else to stay temporarily. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65014\": \"What building was destroyed?\"\n },\n {\n \"65015\": \"Located at what address?\"\n },\n {\n \"65016\": \"What did it house on its first floor?\"\n },\n {\n \"65017\": \"How many stories did it have all together?\"\n },\n {\n \"65018\": \"Was its adjacent building also damaged?\"\n },\n {\n \"65019\": \"What type of store was located there?\"\n },\n {\n \"65020\": \"What time of day did the blast occur?\"\n },\n {\n \"65021\": \"On what day of the week/\"\n },\n {\n \"65022\": \"What neighborhood were the buildings located in?\"\n },\n {\n \"65023\": \"Were nearby residents trapped inside of their homes?\"\n },\n {\n \"65024\": \"Who spoke to CNN about her experience?\"\n },\n {\n \"65025\": \"How far was she from the blast?\"\n },\n {\n \"65026\": \"Why couldn't she evacuate?\"\n },\n {\n \"65027\": \"Who ultimately freed her?\"\n },\n {\n \"65028\": \"What had Aisha Watts done that morning before she returned home?\"\n },\n {\n \"65029\": \"Was her door also jammed shut?\"\n },\n {\n \"65030\": \"Who helped her exit?\"\n },\n {\n \"65031\": \"Will she and other residents be relocated?\"\n },\n {\n \"65032\": \"Did anyone die in the explosion?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65014\",\n \"answer\": \"an apartment building\"\n },\n {\n \"question_id\": \"65015\",\n \"answer\": \"1644 Park Avenue\"\n },\n {\n \"question_id\": \"65016\",\n \"answer\": \"a Latino evangelical church\"\n },\n {\n \"question_id\": \"65017\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"65018\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65019\",\n \"answer\": \"a piano store\"\n },\n {\n \"question_id\": \"65020\",\n \"answer\": \"morning\"\n },\n {\n \"question_id\": \"65021\",\n \"answer\": \"Wednesday\"\n },\n {\n \"question_id\": \"65022\",\n \"answer\": \"East Harlem\"\n },\n {\n \"question_id\": \"65023\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65024\",\n \"answer\": \"Angelica Avila\"\n },\n {\n \"question_id\": \"65025\",\n \"answer\": \"down the block\"\n },\n {\n \"question_id\": \"65026\",\n \"answer\": \"her door was jammed\"\n },\n {\n \"question_id\": \"65027\",\n \"answer\": \"Her stepmother\"\n },\n {\n \"question_id\": \"65028\",\n \"answer\": \"took her children to school\"\n },\n {\n \"question_id\": \"65029\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65030\",\n \"answer\": \"A neighbor\"\n },\n {\n \"question_id\": \"65031\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"65032\",\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 New York (CNN) -- A 57-year-old musician arrested in connection with the drugs found in actor Philip Seymour Hoffman's apartment was granted bail Friday. \n\nThe musician, Robert Vineberg, was among four people arrested in Manhattan in the days after the apparent heroin overdose of the Academy Award-winning actor on February 2. \n\nProsecutors said Vineberg, who was arrested on a felony charge of criminal possession of a controlled substance, had just under 50 small bags of heroin as well as packaging paraphernalia in his apartment during the raid. In another one of his apartments in the same Mott Street building, prosecutors said, 250 small bags of heroin were found. \n\nIn addition, prosecutors said, detectives recovered nearly $1,300 in cash on Vineberg. \n\nManhattan Supreme Court Judge Edward McLaughlin set bail at $200,000 bond or $40,000 cash. Vineberg is due back in court Tuesday. \n\nVineberg's attorney, Edward Kratt, asked for a lower bail, saying his client has been an \"accomplished musician\" since the late 1980s and a \"functioning heroin addict\" with a 10-bag-a-day habit. The large quantity of drugs found in the apartments were for Vineberg's personal use, Kratt said. \n\nThe judge, however, appeared to doubt that assertion, saying that the amount of heroin in Vineberg's possession was \"off the charts.\" \n\nVineberg was found to have the actor's phone number stored in his cell phone, a law enforcement official told CNN. Police discovered the largest amount of what is believed to be heroin in his apartment, the source said. \n\nOutside court, Kratt said his client hoped to raise bail money with the help of friends. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16931\": \"Which actor's death is this article about?\"\n },\n {\n \"16932\": \"When did he die?\"\n },\n {\n \"16933\": \"Did he win an Oscar?\"\n },\n {\n \"16934\": \"Who was taken to jail?\"\n },\n {\n \"16935\": \"What's his occupation?\"\n },\n {\n \"16936\": \"How old was he?\"\n },\n {\n \"16937\": \"How long had he worked as a musician?\"\n },\n {\n \"16938\": \"What was the charge?\"\n },\n {\n \"16939\": \"Was he the only one arrested?\"\n },\n {\n \"16940\": \"Who was the judge?\"\n },\n {\n \"16941\": \"Where did this occur?\"\n },\n {\n \"16942\": \"When did he get out of jail?\"\n },\n {\n \"16943\": \"When does he go back to court?\"\n },\n {\n \"16944\": \"Where is his apartment?\"\n },\n {\n \"16945\": \"How much heroin did he have there?\"\n },\n {\n \"16946\": \"And how much cash?\"\n },\n {\n \"16947\": \"Did the judge deny bond?\"\n },\n {\n \"16948\": \"Who is Vineberg's lawyer\"\n },\n {\n \"16949\": \"What did he say the drugs were for?\"\n },\n {\n \"16950\": \"Where did he have Hoffman's number?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"16931\",\n \"answer\": \"Philip Seymour Hoffman\"\n },\n {\n \"question_id\": \"16932\",\n \"answer\": \"February 2\"\n },\n {\n \"question_id\": \"16933\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16934\",\n \"answer\": \"Robert Vineberg\"\n },\n {\n \"question_id\": \"16935\",\n \"answer\": \"musician\"\n },\n {\n \"question_id\": \"16936\",\n \"answer\": \"57\"\n },\n {\n \"question_id\": \"16937\",\n \"answer\": \"since the 1980s\"\n },\n {\n \"question_id\": \"16938\",\n \"answer\": \"criminal possession of a controlled substance\"\n },\n {\n \"question_id\": \"16939\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16940\",\n \"answer\": \"Edward McLaughlin\"\n },\n {\n \"question_id\": \"16941\",\n \"answer\": \"Manhattan\"\n },\n {\n \"question_id\": \"16942\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"16943\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"16944\",\n \"answer\": \"Mott Street\"\n },\n {\n \"question_id\": \"16945\",\n \"answer\": \"250 small bags\"\n },\n {\n \"question_id\": \"16946\",\n \"answer\": \"nearly $1,300\"\n },\n {\n \"question_id\": \"16947\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16948\",\n \"answer\": \"Edward Kratt\"\n },\n {\n \"question_id\": \"16949\",\n \"answer\": \"personal use\"\n },\n {\n \"question_id\": \"16950\",\n \"answer\": \"in his cell 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 TEHRAN, Iran (CNN) -- He's been labeled by many as the \"reformist,\" a man who can take Iran beyond the truculent anti-Western rhetoric of President Mahmoud Ahmadinejad. \n\nMoussavi was not seen as a reformer during his stint as prime minister during the 1980s. \n\nSo, when Iran's government announced over the weekend that Mir Hossein Moussavi had lost in his bid to become the country's next president, young Iranians took to the streets by the thousands alleging ballot fraud. \n\nThousands of others around the globe championed the cause on social-networking Web sites and agreed to wear green on Monday in solidarity with Moussavi's supporters. \n\nBut what is often lost in the outrage is whether Iran would look different under a Moussavi presidency. Watch more about the vote » \n\nThough the 67-year old is credited for successfully navigating the Iranian economy as prime minister during a bloody eight-year war with Iraq in the 1980s, he also was a hard-liner whom the Economist described as a \"firm radical.\" \n\nHe, like most Iranians in power, does not believe in the existence of Israel. He defended the taking of hostages at the U.S. Embassy in Iran in 1979, which led to the break in ties between the countries. \n\nHe was part of a regime that regularly executed dissidents and backed the fatwa against British author Salman Rushdie. \n\nAnd as late as April, he opposed suspending the country's nuclear-enrichment program but said it would not be diverted to weapons use. \n\n\"I wouldn't go as far as (call it) a 'Velvet Revolution,'\" Trita Parsi, president of the National Iranian American Council, said of the phrase many are using to describe the rallies in Iran. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23802\": \"Why did the Iranian youth get so angry?\"\n },\n {\n \"23803\": \"Was Moussavi a good leader?\"\n },\n {\n \"23804\": \"Does he support Israel?\"\n },\n {\n \"23805\": \"Does he support the Nuclear Ban Treaty?\"\n },\n {\n \"23806\": \"What is the significance of the color green?\"\n },\n {\n \"23807\": \"How are the protests being perceived?\"\n },\n {\n \"23808\": \"How did he treat people who were against him?\"\n },\n {\n \"23809\": \"How did the youth coordinate support?\"\n },\n {\n \"23810\": \"Did he support the verdict against the English writer?\"\n },\n {\n \"23811\": \"What was his view of the seizing of Americans?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23802\",\n \"answer\": \"Mir Hossein Moussavi had lost in his bid to become the country's next president - Moussavi lost the election\"\n },\n {\n \"question_id\": \"23803\",\n \"answer\": \"Economist described as a \\\"firm radical.\\\" - he had radical ideas\"\n },\n {\n \"question_id\": \"23804\",\n \"answer\": \"does not believe in the existence of Israel - No\"\n },\n {\n \"question_id\": \"23805\",\n \"answer\": \"he opposed - No\"\n },\n {\n \"question_id\": \"23806\",\n \"answer\": \"agreed to wear green on Monday in solidarity with Moussavi's supporters - To show support\"\n },\n {\n \"question_id\": \"23807\",\n \"answer\": \"I wouldn't go as far as (call it) a 'Velvet Revolution - not a revolution\"\n },\n {\n \"question_id\": \"23808\",\n \"answer\": \"regularly executed dissidents - had them killed\"\n },\n {\n \"question_id\": \"23809\",\n \"answer\": \"championed the cause on social-networking - Social Networking\"\n },\n {\n \"question_id\": \"23810\",\n \"answer\": \"backed the fatwa against British author Salman Rushdie - Yes\"\n },\n {\n \"question_id\": \"23811\",\n \"answer\": \"defended the taking of hostages at the U.S. Embassy in Iran - Supported 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 CHAPTER XII \n\nFAIR AND FOUL FIGHTING \n\nAs Dick went down, Tom and Sam uttered cries of chagrin and horror. The eldest Rover had been struck on the chin, and the blood was flowing from a deep scratch. \n\n\"Get up! Get up, Dick!\" cried Tom. \"Don't say you are beaten!\" \n\n\"Yes, yes; get up and go at him!\" added Sam. \n\nThe urging was unnecessary, as Dick was already scrambling up. Dan Baxter made a dash at him, intending to strike him while he was down, but a fierce look from Tom stopped him. \n\n\"You'll fight fair, Baxter,\" were Tom's words. \n\n\"Yes, he'll fight fair,\" repeated Dick, throwing back his head as if to collect himself. \"Fellow-students, Dan Baxter is not fit to be a pupil at this academy.\" \n\n\"Why not?\" came in a chorus. \n\n\"He is not fighting me fairly.\" \n\n\"What do you mean?\" blustered Mumps. \n\n\"Don't find fault because he knocked you down,\" added another of the bully's cronies. \n\n\"I say he is not fighting fair,\" repeated Dick stoutly. \"He has something in each hand.\" \n\nAt this unexpected announcement Dan Baxter started back and changed color. Then of a sudden he placed both hands into his trouser pockets. \n\n\"He is putting the things out of sight!\" cried Tom, who saw through the bully's intentions. \n\n\"Come, Baxter, show us what you had.\" \n\n\"I didn't have anything,\" growled the bully. \"If you say I had I'll punch your head off. This is only a ruse to, let Dick gain time to get his wind.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45266\": \"Who was fighting?\"\n },\n {\n \"45267\": \"Who was winning?\"\n },\n {\n \"45268\": \"Was it said to be a fair fight?\"\n },\n {\n \"45269\": \"Who said that?\"\n },\n {\n \"45270\": \"Why?\"\n },\n {\n \"45271\": \"Did anyone else see this?\"\n },\n {\n \"45272\": \"Who?\"\n },\n {\n \"45273\": \"What did Tom see Dan doing?\"\n },\n {\n \"45274\": \"Where were his hands?\"\n },\n {\n \"45275\": \"Did Baxter admit to having anything?\"\n },\n {\n \"45276\": \"What was his response when it was suggested that he did?\"\n },\n {\n \"45277\": \"Why did he say he was being accused?\"\n },\n {\n \"45278\": \"Had he knocked Dick down?\"\n },\n {\n \"45279\": \"Was Dick able to get back up?\"\n },\n {\n \"45280\": \"Why was the fight stopped?\"\n },\n {\n \"45281\": \"Was Dan known as a good guy?\"\n },\n {\n \"45282\": \"What was he known as?\"\n },\n {\n \"45283\": \"Did Dick think Dan should be allowed to continue at the academy?\"\n },\n {\n \"45284\": \"Did anyone else witness the fight?\"\n },\n {\n \"45285\": \"Who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45266\",\n \"answer\": \"Dick Rover and Dan Baxter\"\n },\n {\n \"question_id\": \"45267\",\n \"answer\": \"Dan Baxter\"\n },\n {\n \"question_id\": \"45268\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45269\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"45270\",\n \"answer\": \"He thinks Dick has something in each hand\"\n },\n {\n \"question_id\": \"45271\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"45272\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"45273\",\n \"answer\": \"He saw Dan putting his hands out of sight\"\n },\n {\n \"question_id\": \"45274\",\n \"answer\": \"in his trouser pockets\"\n },\n {\n \"question_id\": \"45275\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45276\",\n \"answer\": \"he growled and said he didn't.\"\n },\n {\n \"question_id\": \"45277\",\n \"answer\": \"He said it was ruse to let Dick gain time to get his wind\"\n },\n {\n \"question_id\": \"45278\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45279\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45280\",\n \"answer\": \"Tom gave Dan a fierce look\"\n },\n {\n \"question_id\": \"45281\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45282\",\n \"answer\": \"a bully\"\n },\n {\n \"question_id\": \"45283\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45284\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"45285\",\n \"answer\": \"Tom, Sam and Dan's cronies.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI. \n\nTWO STRANGE MEETINGS. \n\n\n\n\n\n\"Mrs. Hugh Holker, at home, Saturday, May 29th, 3 to 6.30. Chetwood Court; tennis.\" \n\nCyril Waring read it out with a little thrill of triumph. To be sure, it was by no means certain that Elma would be there; but still, Chetwood Court was well within range of Tilgate town, and Montague Nevitt felt convinced, he said, the Holkers were friends of the Cliffords and the Kelmscotts. \n\n\"For my part,\" Guy remarked, balancing a fragment of fried sole on his fork as he spoke, \"I'm not going all that way down to Chetwood merely to swell Mrs. Holker's triumph.\" \n\n\"I wouldn't if I were you,\" Cyril answered, with quiet incisiveness. He hadn't exactly fallen in love with Elma at first sight, but he was very much interested in her, and it struck him at once that what interested him was likely also to interest his twin brother. And this is just one of those rare cases in life where a man prefers that his interest in a subject should not be shared by any other person. \n\nBefore Saturday, the 29th, arrived, however, Guy had so far changed his mind in the matter, that he presented himself duly with Nevitt at Waterloo to catch the same train to Chetwood station that Cyril went down by. \n\n\"After all,\" he said to Nevitt, as they walked together from the club in Piccadilly, \"I may as well see what the girl's like, anyhow. If she's got to be my sister-in-law--which seems not unlikely now--I'd better have a look at her beforehand, so to speak, on approbation.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11176\": \"What was close to Tilgate?\"\n },\n {\n \"11177\": \"Who received the invitation there?\"\n },\n {\n \"11178\": \"Who did he hope would be there?\"\n },\n {\n \"11179\": \"Did he love her?\"\n },\n {\n \"11180\": \"what was he then?\"\n },\n {\n \"11181\": \"Was anyone else perhaps also?\"\n },\n {\n \"11182\": \"who?\"\n },\n {\n \"11183\": \"Was his brother intending to go?\"\n },\n {\n \"11184\": \"Did he end up going?\"\n },\n {\n \"11185\": \"Where did he meet Nevitt?\"\n },\n {\n \"11186\": \"How did the intend to travel?\"\n },\n {\n \"11187\": \"What is the date they are going?\"\n },\n {\n \"11188\": \"What day of the week?\"\n },\n {\n \"11189\": \"is there a specific time?\"\n },\n {\n \"11190\": \"what is it?\"\n },\n {\n \"11191\": \"Why did Guy decide to go?\"\n },\n {\n \"11192\": \"Why would he want to do that?\"\n },\n {\n \"11193\": \"Was Cyril happy to be invited?\"\n },\n {\n \"11194\": \"What did Guy have on his fork?\"\n },\n {\n \"11195\": \"Did Cyril want his brother to know he was interested in Elma?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"11176\",\n \"answer\": \"Chetwood Court\"\n },\n {\n \"question_id\": \"11177\",\n \"answer\": \"Cyril Waring\"\n },\n {\n \"question_id\": \"11178\",\n \"answer\": \"Elma\"\n },\n {\n \"question_id\": \"11179\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11180\",\n \"answer\": \"he was interested in her\"\n },\n {\n \"question_id\": \"11181\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11182\",\n \"answer\": \"his twin brother\"\n },\n {\n \"question_id\": \"11183\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"11184\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11185\",\n \"answer\": \"at Waterloo\"\n },\n {\n \"question_id\": \"11186\",\n \"answer\": \"via train\"\n },\n {\n \"question_id\": \"11187\",\n \"answer\": \"May 29th\"\n },\n {\n \"question_id\": \"11188\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"11189\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11190\",\n \"answer\": \"3 to 6.30\"\n },\n {\n \"question_id\": \"11191\",\n \"answer\": \"To see what Elma is like.\"\n },\n {\n \"question_id\": \"11192\",\n \"answer\": \"She might become his sister in law.\"\n },\n {\n \"question_id\": \"11193\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"11194\",\n \"answer\": \"fried sole\"\n },\n {\n \"question_id\": \"11195\",\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 Boston (pronounced i/ˈbɒstən/) is the capital and largest city of the Commonwealth of Massachusetts in the United States. Boston also served as the historic county seat of Suffolk County until Massachusetts disbanded county government in 1999. The city proper covers 48 square miles (124 km2) with an estimated population of 655,884 in 2014, making it the largest city in New England and the 24th largest city in the United States. The city is the economic and cultural anchor of a substantially larger metropolitan area called Greater Boston, home to 4.7 million people and the tenth-largest metropolitan statistical area in the country. Greater Boston as a commuting region is home to 8.1 million people, making it the sixth-largest combined statistical area in the United States. \n\nOne of the oldest cities in the United States, Boston was founded on the Shawmut Peninsula in 1630 by Puritan settlers from England. It was the scene of several key events of the American Revolution, such as the Boston Massacre, the Boston Tea Party, the Battle of Bunker Hill, and the Siege of Boston. Upon American independence from Great Britain, the city continued to be an important port and manufacturing hub, as well as a center for education and culture. Through land reclamation and municipal annexation, Boston has expanded beyond the original peninsula. Its rich history attracts many tourists, with Faneuil Hall alone drawing over 20 million visitors per year. Boston's many firsts include the United States' first public school, Boston Latin School (1635), and first subway system (1897).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35194\": \"What is one of the oldest cities in the US?\"\n },\n {\n \"35195\": \"When was it founded?\"\n },\n {\n \"35196\": \"By whom?\"\n },\n {\n \"35197\": \"Has it expanded at all since it was found?\"\n },\n {\n \"35198\": \"Does it have many people from out of state who visit?\"\n },\n {\n \"35199\": \"It is the largest city in what state?\"\n },\n {\n \"35200\": \"How many people live in the actual city?\"\n },\n {\n \"35201\": \"What about the greater Boston areas?\"\n },\n {\n \"35202\": \"How big is the city in miles?\"\n },\n {\n \"35203\": \"What is the ranking of this city as far as large cities in the US?\"\n },\n {\n \"35204\": \"Did it have the first public school?\"\n },\n {\n \"35205\": \"What else did this place have first?\"\n },\n {\n \"35206\": \"What year did they come out with that?\"\n },\n {\n \"35207\": \"Name one of the key events that took place there?\"\n },\n {\n \"35208\": \"Did the Battle of Bunker Hill also occur there?\"\n },\n {\n \"35209\": \"The city was known for being an important what?\"\n },\n {\n \"35210\": \"Who founded it?\"\n },\n {\n \"35211\": \"What attraction draws the most tourists per year?\"\n },\n {\n \"35212\": \"And how many visitors do they get per year?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"35194\",\n \"answer\": \"Boston\"\n },\n {\n \"question_id\": \"35195\",\n \"answer\": \"1630\"\n },\n {\n \"question_id\": \"35196\",\n \"answer\": \"Puritan settlers from England\"\n },\n {\n \"question_id\": \"35197\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"35198\",\n \"answer\": \"Yes, many tourists\"\n },\n {\n \"question_id\": \"35199\",\n \"answer\": \"Massachusetts\"\n },\n {\n \"question_id\": \"35200\",\n \"answer\": \"4.7 million\"\n },\n {\n \"question_id\": \"35201\",\n \"answer\": \"8.1 million people\"\n },\n {\n \"question_id\": \"35202\",\n \"answer\": \"48 square miles\"\n },\n {\n \"question_id\": \"35203\",\n \"answer\": \"24th\"\n },\n {\n \"question_id\": \"35204\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"35205\",\n \"answer\": \"subway system\"\n },\n {\n \"question_id\": \"35206\",\n \"answer\": \"1897\"\n },\n {\n \"question_id\": \"35207\",\n \"answer\": \"Boston Tea Party\"\n },\n {\n \"question_id\": \"35208\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"35209\",\n \"answer\": \"port and manufacturing hub\"\n },\n {\n \"question_id\": \"35210\",\n \"answer\": \"Puritan settlers\"\n },\n {\n \"question_id\": \"35211\",\n \"answer\": \"Faneuil Hall\"\n },\n {\n \"question_id\": \"35212\",\n \"answer\": \"20 million\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Manganese is a chemical element with symbol Mn and atomic number 25. It is not found as a free element in nature; it is often found in minerals in combination with iron. Manganese is a metal with important industrial metal alloy uses, particularly in stainless steels. \n\nHistorically, manganese is named for pyrolusite and other black minerals from the region of Magnesia in Greece, which also gave its name to magnesium and the iron ore magnetite. By the mid-18th century, Swedish chemist Carl Wilhelm Scheele had used pyrolusite to produce chlorine. Scheele and others were aware that pyrolusite (now known to be manganese dioxide) contained a new element, but they were unable to isolate it. Johan Gottlieb Gahn was the first to isolate an impure sample of manganese metal in 1774, which he did by reducing the dioxide with carbon. \n\nManganese phosphating is used for rust and corrosion prevention on steel. Ionized manganese is used industrially as pigments of various colors, which depend on the oxidation state of the ions. The permanganates of alkali and alkaline earth metals are powerful oxidizers. Manganese dioxide is used as the cathode (electron acceptor) material in zinc-carbon and alkaline batteries. \n\nIn biology, manganese(II) ions function as cofactors for a large variety of enzymes with many functions. Manganese enzymes are particularly essential in detoxification of superoxide free radicals in organisms that must deal with elemental oxygen. Manganese also functions in the oxygen-evolving complex of photosynthetic plants. While the element is a required trace mineral for all known living organisms, it also acts as a neurotoxin in larger amounts. Especially through inhalation, it can cause manganism, a condition in mammals leading to neurological damage that is sometimes irreversible.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93777\": \"What is the article about?\"\n },\n {\n \"93778\": \"What is it used for?\"\n },\n {\n \"93779\": \"How about in natural science?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93777\",\n \"answer\": \"Manganese element\"\n },\n {\n \"question_id\": \"93778\",\n \"answer\": \"rust and corrosion prevention on steel\"\n },\n {\n \"question_id\": \"93779\",\n \"answer\": \"stainless steels.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VI. \n\nGOING UP. \n\nRollo slept in the same room with Mr. George. He got up as soon as it was light, dressed himself in a hurried manner, and went out. In about ten minutes he returned. \n\n\"Well, Rollo,\" said Mr. George, \"what is the report?\" \n\n\"The smoke is not going either way,\" said Rollo. \"It mounts right straight up into the air; but Philippe says he thinks it is going to be a fine day, and he has ordered breakfast. So I think you had better get up.\" \n\nAt seven o'clock precisely the whole party were assembled in the dining room for breakfast. They ate their breakfast together at the end of one of the long tables. There were already two other parties in the room. There was one consisting of two gentlemen that were going to Vesuvius. There was another larger party that were about setting out for Rome. Their carriage was at the door, and the vetturino and his men were at work putting on the trunks and baggage. \n\nAt eight o'clock precisely, the carriage for Mr. George's party came to the door. All were ready, and they all immediately got in. Philippe put in a basket containing provisions. Mrs. Gray had a small book, formed with leaves of blotting paper, to press the flowers in, which she meant to gather around the Hermitage while the rest of the party were gone up the mountain. Mr. George took his knapsack, though there seemed to be nothing in it. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93734\": \"What time was breakfast?\"\n },\n {\n \"93735\": \"How many parties were in the room?\"\n },\n {\n \"93736\": \"How many were in the smallest group?\"\n },\n {\n \"93737\": \"Who were they?\"\n },\n {\n \"93738\": \"Was anyone going to Italy?\"\n },\n {\n \"93739\": \"Who?\"\n },\n {\n \"93740\": \"Who did Rollo share a room with?\"\n },\n {\n \"93741\": \"Who reported on the weather?\"\n },\n {\n \"93742\": \"Who thought it would be a good day?\"\n },\n {\n \"93743\": \"Was Rollo moving slowly?\"\n },\n {\n \"93744\": \"Which party loaded up first?\"\n },\n {\n \"93745\": \"Who loaded their carriage?\"\n },\n {\n \"93746\": \"When was Rollo's party's carriage there?\"\n },\n {\n \"93747\": \"Did they have to wait on anyone to get ready?\"\n },\n {\n \"93748\": \"What did Mr. George bring?\"\n },\n {\n \"93749\": \"Who brought food?\"\n },\n {\n \"93750\": \"What did Rollo say about the smoke?\"\n },\n {\n \"93751\": \"Was Mrs. Gray planning to hike the mountain?\"\n },\n {\n \"93752\": \"What would she do?\"\n },\n {\n \"93753\": \"And do what with them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93734\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"93735\",\n \"answer\": \"Two besides them.\"\n },\n {\n \"question_id\": \"93736\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"93737\",\n \"answer\": \"Two men going to Vesuvius\"\n },\n {\n \"question_id\": \"93738\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"93739\",\n \"answer\": \"The other party.\"\n },\n {\n \"question_id\": \"93740\",\n \"answer\": \"Mr. George\"\n },\n {\n \"question_id\": \"93741\",\n \"answer\": \"Rollo\"\n },\n {\n \"question_id\": \"93742\",\n \"answer\": \"Philippe\"\n },\n {\n \"question_id\": \"93743\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93744\",\n \"answer\": \"The people going to Rome?\"\n },\n {\n \"question_id\": \"93745\",\n \"answer\": \"the vetturino and his men\"\n },\n {\n \"question_id\": \"93746\",\n \"answer\": \"8:00\"\n },\n {\n \"question_id\": \"93747\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93748\",\n \"answer\": \"His knapsack.\"\n },\n {\n \"question_id\": \"93749\",\n \"answer\": \"Philippe\"\n },\n {\n \"question_id\": \"93750\",\n \"answer\": \"It's not going either way - it it going straight up\"\n },\n {\n \"question_id\": \"93751\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"93752\",\n \"answer\": \"Gather flowers\"\n },\n {\n \"question_id\": \"93753\",\n \"answer\": \"Press them\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Gaul (Latin: Gallia) was a region of Western Europe during the Iron Age that was inhabited by Celtic tribes, encompassing present day France, Luxembourg, Belgium, most of Switzerland, Northern Italy, as well as the parts of the Netherlands and Germany on the west bank of the Rhine. It covered an area of . According to the testimony of Julius Caesar, Gaul was divided into three parts: Gallia Celtica, Belgica and Aquitania. Archaeologically, the Gauls were bearers of the La Tène culture, which extended across all of Gaul, as well as east to Raetia, Noricum, Pannonia and southwestern Germania during the 5th to 1st centuries BC. During the 2nd and 1st centuries BC, Gaul fell under Roman rule: Gallia Cisalpina was conquered in 203 BC and Gallia Narbonensis in 123 BC. Gaul was invaded after 120 BC by the Cimbri and the Teutons, who were in turn defeated by the Romans by 103 BC. Julius Caesar finally subdued the remaining parts of Gaul in his campaigns of 58 to 51 BC. \n\nRoman control of Gaul lasted for five centuries, until the last Roman rump state, the Domain of Soissons, fell to the Franks in AD 486. While the Celtic Gauls had lost their original identities and language during Late Antiquity, becoming amalgamated into a Gallo-Roman culture, \"Gallia\" remained the conventional name of the territory throughout the Early Middle Ages, until it acquired a new identity as the Capetian Kingdom of France in the high medieval period. \"Gallia\" remains a name of France in modern Greek (Γαλλία) and modern Latin (besides the alternatives \"Francia\" and \"Francogallia\").\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19281\": \"according to a Roman Emperor how many parts in Gaul?\"\n },\n {\n \"19282\": \"are they named?\"\n },\n {\n \"19283\": \"what was the emperor called?\"\n },\n {\n \"19284\": \"what is the latin translation for it?\"\n },\n {\n \"19285\": \"who lived there in an era named after metal?\"\n },\n {\n \"19286\": \"how many countries did it cover?\"\n },\n {\n \"19287\": \"can you list three of them?\"\n },\n {\n \"19288\": \"in what year AD was is conquered?\"\n },\n {\n \"19289\": \"by who?\"\n },\n {\n \"19290\": \"when did Caesar complete his conquest?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"19281\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"19282\",\n \"answer\": \"Gallia Celtica, Belgica and Aquitania\"\n },\n {\n \"question_id\": \"19283\",\n \"answer\": \"Julius Caesar\"\n },\n {\n \"question_id\": \"19284\",\n \"answer\": \"Gallia\"\n },\n {\n \"question_id\": \"19285\",\n \"answer\": \"Celtic tribes\"\n },\n {\n \"question_id\": \"19286\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"19287\",\n \"answer\": \"France, Luxembourg, and Belgium\"\n },\n {\n \"question_id\": \"19288\",\n \"answer\": \"486\"\n },\n {\n \"question_id\": \"19289\",\n \"answer\": \"the Franks\"\n },\n {\n \"question_id\": \"19290\",\n \"answer\": \"51\\u00a0BC\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Case is a special grammatical category of a noun, pronoun, adjective, participle or numeral whose value reflects the grammatical function performed by that word in a phrase, clause, or sentence. In some languages, nouns, pronouns, adjectives, determiners, participles, prepositions, numerals, articles and their modifiers take different inflected forms depending on what case they are in. As a language evolves, cases can merge (for instance, in Ancient Greek, the locative case merged with the dative), a phenomenon formally called syncretism. \n\nEnglish has largely lost its case system, although personal pronouns still have three cases that are simplified forms of the nominative, accusative and genitive cases: subjective case (I, you, he, she, it, we, they, who, whoever), objective case (me, you, him, her, it, us, them, whom, whomever) and possessive case (my, mine; your, yours; his; her, hers; its; our, ours; their, theirs; whose; whosever). Forms such as \"I\", \"he\" and \"we\" are used for the subject (\"I kicked the ball\"), whereas forms such as \"me\", \"him\" and \"us\" are used for the object (\"John kicked me\"). \n\nLanguages such as Sanskrit, Ancient Greek, Latin, Armenian, Hungarian, Tibetan, Czech, Slovak, Turkish, Tamil, Romanian, Russian, Polish, Serbo-Croatian, Estonian, Finnish, Icelandic, Ukrainian, Lithuanian, Basque, Esperanto and the majority of Caucasian languages have extensive case systems, with nouns, pronouns, adjectives, and determiners all inflecting (usually by means of different suffixes) to indicate their case. The number of cases differs between languages: German and Icelandic have four; Turkish, Latin and Russian each have at least six; Armenian, Czech, Polish, Serbian, Croatian, Ukrainian, and Lithuanian have seven; Sanskrit has eight; Estonian and Finnish have fifteen, Hungarian has eighteen and Tsez has sixty-four.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34583\": \"What is case?\"\n },\n {\n \"34584\": \"Is there a case system in English?\"\n },\n {\n \"34585\": \"Does Esperanto have an extensive case system?\"\n },\n {\n \"34586\": \"Between languages does the number of cases stay the same?\"\n },\n {\n \"34587\": \"How many does German and Icelandic have?\"\n },\n {\n \"34588\": \"What about Turkish, Latin and Russian?\"\n },\n {\n \"34589\": \"What about Tsez?\"\n },\n {\n \"34590\": \"What are forms such as me, him and us used for?\"\n },\n {\n \"34591\": \"What about I, he, and we?\"\n },\n {\n \"34592\": \"How many cases do personal pronouns still have in English?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34583\",\n \"answer\": \"a special grammatical category of a noun, pronoun, adjective, participle or numeral whose value reflects the grammatical function performed by that word in a phrase, clause, or sentence. In some languages, nouns, pronouns, adjectives, determiners, participles, prepositions, numerals, articles and their modifiers take different inflected forms depending on what case they are in\"\n },\n {\n \"question_id\": \"34584\",\n \"answer\": \"it has largely lost its case system\"\n },\n {\n \"question_id\": \"34585\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34586\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34587\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"34588\",\n \"answer\": \"they each have at least six\"\n },\n {\n \"question_id\": \"34589\",\n \"answer\": \"sixty-four\"\n },\n {\n \"question_id\": \"34590\",\n \"answer\": \"the object\"\n },\n {\n \"question_id\": \"34591\",\n \"answer\": \"they are used for the subject\"\n },\n {\n \"question_id\": \"34592\",\n \"answer\": \"three\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- \"I killed that lady,\" the 10-year-old boy told a Pennsylvania state trooper, after a 90-year-old woman was found dead in the home of the boy's grandfather. \n\nTristen Kurilla, a fifth grader, made the chilling confession Saturday, police said, after his mother brought him to the Pennsylvania State Police Barracks in Honesdale, about 140 miles north of Philadelphia. \n\nNow, Kurilla is being held at the Wayne County Correctional Facility and charged as an adult with criminal homicide, the Wayne County district attorney's office said. The boy is separated from adult offenders and is being constantly supervised, CNN affiliate WBRE reported. \n\nThe boy admitted to grabbing a wooden cane, holding it against 90-year-old Helen Novak's throat for several seconds and punching her in the throat and stomach, according to the police affidavit. \n\nKurilla told police he was angry at Novak because she had yelled at him when he entered her room. He said he wanted to ask her a question. \n\nWere you trying to kill her? the trooper asked the boy. \n\n\"No, I was only trying to hurt her,\" Kurilla replied, according to the affidavit. \n\nThe boy was ordered to be held without bail after his arraignment and is set to appear in court October 22. \n\nBernie Brown, his lawyer, said he was petitioning the court to get the fifth-grade Damascus Elementary School student out of jail, WBRE reported. \n\n\"Tristen really kind of doesn't have an idea of what is going on,\" Brown told the station. \n\nBrown added, \"Jail is still jail, no matter what part of the facility you are in.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97717\": \"What crime did Tristen Kurilla confess to?\"\n },\n {\n \"97718\": \"Who did he kill?\"\n },\n {\n \"97719\": \"Was she related to him?\"\n },\n {\n \"97720\": \"How did he do it?\"\n },\n {\n \"97721\": \"Intentionally?\"\n },\n {\n \"97722\": \"How did it happen?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"97717\",\n \"answer\": \"criminal homicide\"\n },\n {\n \"question_id\": \"97718\",\n \"answer\": \"Helen Novak\"\n },\n {\n \"question_id\": \"97719\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97720\",\n \"answer\": \"a cane and punches\"\n },\n {\n \"question_id\": \"97721\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97722\",\n \"answer\": \"a wooden cane, holding it against her throat for several seconds and punching her in the throat and stomach, according to the police affidavit.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 New Testament (, \"Hē Kainḕ Diathḗkē\"; ) is the second part of the Christian biblical canon, the first part being the Old Testament, based on the Hebrew Bible. The New Testament discusses the teachings and person of Jesus, as well as events in first-century Christianity. Christians regard both the Old and New Testaments together as sacred scripture. The New Testament (in whole or in part) has frequently accompanied the spread of Christianity around the world. It reflects and serves as a source for Christian theology and morality. Both extended readings and phrases directly from the New Testament are also incorporated (along with readings from the Old Testament) into the various Christian liturgies. The New Testament has influenced religious, philosophical, and political movements in Christendom and left an indelible mark on literature, art, and music. \n\nThe New Testament is a collection of Christian works written in the common (Koine) Greek language of the first century, at different times by various writers, and the modern consensus is that it also provides important evidence regarding Judaism in the first century AD. In almost all Christian traditions today, the New Testament consists of 27 books. The original texts were written in the first and perhaps the second centuries of the Christian Era, in Greek, which was the common language of the Eastern Mediterranean from the Conquests of Alexander the Great (335–323 BC) until the Muslim conquests in the 7th century AD. All the works that eventually became incorporated into the New Testament are believed to have been written no later than around 150 AD.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74825\": \"What is the topic of this article?\"\n },\n {\n \"74826\": \"Is it the first part of the bible?\"\n },\n {\n \"74827\": \"What is the first part?\"\n },\n {\n \"74828\": \"What does it serve as?\"\n },\n {\n \"74829\": \"How many books is it made of?\"\n },\n {\n \"74830\": \"What language was it written in?\"\n },\n {\n \"74831\": \"What does it provide regarding Judaism?\"\n },\n {\n \"74832\": \"What is the new testament?\"\n },\n {\n \"74833\": \"When was it written?\"\n },\n {\n \"74834\": \"What was the old testament based on?\"\n },\n {\n \"74835\": \"What has been the influence of the new testament?\"\n },\n {\n \"74836\": \"What was the common language of the Eastern Mediterranean during the 4th century?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74825\",\n \"answer\": \"The New Testament\"\n },\n {\n \"question_id\": \"74826\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"74827\",\n \"answer\": \"Old Testament\"\n },\n {\n \"question_id\": \"74828\",\n \"answer\": \"source for Christian theology\"\n },\n {\n \"question_id\": \"74829\",\n \"answer\": \"27\"\n },\n {\n \"question_id\": \"74830\",\n \"answer\": \"Greek language\"\n },\n {\n \"question_id\": \"74831\",\n \"answer\": \"evidence\"\n },\n {\n \"question_id\": \"74832\",\n \"answer\": \"is the second part of the Christian biblical canon\"\n },\n {\n \"question_id\": \"74833\",\n \"answer\": \"first century\"\n },\n {\n \"question_id\": \"74834\",\n \"answer\": \"Hebrew Bible\"\n },\n {\n \"question_id\": \"74835\",\n \"answer\": \"Jesus\"\n },\n {\n \"question_id\": \"74836\",\n \"answer\": \"Greek\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII. RIDERS OF THE PURPLE SAGE \n\nBlack Star and Night, answering to spur, swept swiftly westward along the white, slow-rising, sage-bordered trail. Venters heard a mournful howl from Ring, but Whitie was silent. The blacks settled into their fleet, long-striding gallop. The wind sweetly fanned Venters's hot face. From the summit of the first low-swelling ridge he looked back. Lassiter waved his hand; Jane waved her scarf. Venters replied by standing in his stirrups and holding high his sombrero. Then the dip of the ridge hid them. From the height of the next he turned once more. Lassiter, Jane, and the burros had disappeared. They had gone down into the Pass. Venters felt a sensation of irreparable loss. \n\n\"Bern--look!\" called Bess, pointing up the long slope. \n\nA small, dark, moving dot split the line where purple sage met blue sky. That dot was a band of riders. \n\n\"Pull the black, Bess.\" \n\nThey slowed from gallop to canter, then to trot. The fresh and eager horses did not like the check. \n\n\"Bern, Black Star has great eyesight.\" \n\n\"I wonder if they're Tull's riders. They might be rustlers. But it's all the same to us.\" \n\nThe black dot grew to a dark patch moving under low dust clouds. It grew all the time, though very slowly. There were long periods when it was in plain sight, and intervals when it dropped behind the sage. The blacks trotted for half an hour, for another half-hour, and still the moving patch appeared to stay on the horizon line. Gradually, however, as time passed, it began to enlarge, to creep down the slope, to encroach upon the intervening distance. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81125\": \"Who were waving at each other?\"\n },\n {\n \"81126\": \"What did Jane wave?\"\n },\n {\n \"81127\": \"What did Lassiter wave?\"\n },\n {\n \"81128\": \"What did Venters do?\"\n },\n {\n \"81129\": \"And what did he hold up?\"\n },\n {\n \"81130\": \"Who was with Venters?\"\n },\n {\n \"81131\": \"What was the name of the horses?\"\n },\n {\n \"81132\": \"What are their specific names?\"\n },\n {\n \"81133\": \"Who saw something in the distance?\"\n },\n {\n \"81134\": \"What did she see?\"\n },\n {\n \"81135\": \"What did the dot turn out to be?\"\n },\n {\n \"81136\": \"At this point could they still see Jane?\"\n },\n {\n \"81137\": \"Where had they gone?\"\n },\n {\n \"81138\": \"How did Venters fill about that?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"81125\",\n \"answer\": \"Lassiter and jane\"\n },\n {\n \"question_id\": \"81126\",\n \"answer\": \"her scarf\"\n },\n {\n \"question_id\": \"81127\",\n \"answer\": \"his hand;\"\n },\n {\n \"question_id\": \"81128\",\n \"answer\": \"stood in his stirrups\"\n },\n {\n \"question_id\": \"81129\",\n \"answer\": \"his sombrero\"\n },\n {\n \"question_id\": \"81130\",\n \"answer\": \"Lassiter, Jane, and the burros\"\n },\n {\n \"question_id\": \"81131\",\n \"answer\": \"The blacks\"\n },\n {\n \"question_id\": \"81132\",\n \"answer\": \"Black Star and Night\"\n },\n {\n \"question_id\": \"81133\",\n \"answer\": \"bess\"\n },\n {\n \"question_id\": \"81134\",\n \"answer\": \"A small, dark, moving dot\"\n },\n {\n \"question_id\": \"81135\",\n \"answer\": \"a band of riders.\"\n },\n {\n \"question_id\": \"81136\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"81137\",\n \"answer\": \"into the Pass.\"\n },\n {\n \"question_id\": \"81138\",\n \"answer\": \"felt irreparable loss.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n It is easy for us to tell who our family members are, but do plants recognize their own family? Some do, scientists say, according to a report by Science News in early 2010. Guillermo P. Murphy and Susan Dudley are two plant scientists from McMaster University in Hamilton, Canada. They did a few experiments with Jewelweeds, a kind of flower that grows in wet, shady spots. They found that the flowers seem to know their own flower family. In their experiments, Murphy and Dudley planted jewelweeds in pots with either _ or strangers. When jewelweeds were planted in pots with strangers, the plants started to grow more leaves than if they had been planted alone. This response suggests that plants are competing with strangers for sunlight, since a plant with more leaves can receive more light and make more food. Jewelweeds usually grow in the shade, where sunlight is not enough. When jewelweed seedlings were planted with siblings, they grew a few more branches than they usually would if they were alone - but they did not start growing lots of extra leaves. This behavior suggests the plants are more likely to share resources, rather than compete. According to the Science News report, Jewelweeds are not the first plants that plant scientists have studied for family recognition. In 2007, Dudley and her team studied the Great Lakes sea rocket, a plant that grows on the beach - where it may be hard to get fresh water. In that experiment, the scientists found that when sea rockets were planted with siblings, they tolerated each other. But when they were planted with strangers, the sea rockets reacted by working extra hard to grow lots of roots. Dudley says this just because sea rockets, on the beach, get plenty of sun but struggle for water - so when they're threatened, they compete for water. Jewelweeds have plenty of water but have to compete for sunshine, so they grow more leaves.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86182\": \"Who are Guillermo P. Murphy and Susan Dudley?\"\n },\n {\n \"86183\": \"From where?\"\n },\n {\n \"86184\": \"What are they studying?\"\n },\n {\n \"86185\": \"What kind?\"\n },\n {\n \"86186\": \"Do they grow in the bright sunlight?\"\n },\n {\n \"86187\": \"Where do they grow?\"\n },\n {\n \"86188\": \"When did the Jewelweeds grow more branches?\"\n },\n {\n \"86189\": \"Are they the first scientists to study if plants can recognize their family?\"\n },\n {\n \"86190\": \"According to what?\"\n },\n {\n \"86191\": \"What did her team find in 2007?\"\n },\n {\n \"86192\": \"Where do they grow?\"\n },\n {\n \"86193\": \"What do they compete for?\"\n },\n {\n \"86194\": \"What do Jewelweeds have enough of?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"86182\",\n \"answer\": \"plant scientists\"\n },\n {\n \"question_id\": \"86183\",\n \"answer\": \"Canada.\"\n },\n {\n \"question_id\": \"86184\",\n \"answer\": \"flowers\"\n },\n {\n \"question_id\": \"86185\",\n \"answer\": \"Jewelweeds\"\n },\n {\n \"question_id\": \"86186\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86187\",\n \"answer\": \"wet, shady spots\"\n },\n {\n \"question_id\": \"86188\",\n \"answer\": \"when planted in pots with strangers\"\n },\n {\n \"question_id\": \"86189\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86190\",\n \"answer\": \"Science News report\"\n },\n {\n \"question_id\": \"86191\",\n \"answer\": \"When sea rockets were planted with siblings, they tolerated each other. But when they were planted with strange\"\n },\n {\n \"question_id\": \"86192\",\n \"answer\": \"the beach\"\n },\n {\n \"question_id\": \"86193\",\n \"answer\": \"water\"\n },\n {\n \"question_id\": \"86194\",\n \"answer\": \"sun\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Royal assent is sometimes associated with elaborate ceremonies. In the United Kingdom, for instance, the sovereign may appear personally in the House of Lords or may appoint Lords Commissioners, who announce that royal assent has been granted at a ceremony held at the Palace of Westminster. However, royal assent is usually granted less ceremonially by letters patent. In other nations, such as Australia, the governor-general merely signs the bill. In Canada, the governor general may give assent either in person at a ceremony held in the Senate or by a written declaration notifying parliament of his or her agreement to the bill. \n\nRoyal assent is the method by which a country's constitutional monarch (possibly through a delegated official) formally approves an act of that nation's parliament, thus making it a law or letting it be promulgated as law. In the vast majority of contemporary monarchies, this act is considered to be little more than a formality; even in those nations which still permit their ruler to withhold the royal assent (such as the United Kingdom, Norway, and Liechtenstein), the monarch almost never does so, save in a dire political emergency or upon the advice of their government. While the power to withhold royal assent was once exercised often in European monarchies, it is exceedingly rare in the modern, democratic political atmosphere that has developed there since the 18th century.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49429\": \"How does a monarch approve an act of parliament?\"\n },\n {\n \"49430\": \"What does that do?\"\n },\n {\n \"49431\": \"Is this just a formality?\"\n },\n {\n \"49432\": \"Is there a ceremony to go with it?\"\n },\n {\n \"49433\": \"In the UK do they hold a ceremony?\"\n },\n {\n \"49434\": \"where?\"\n },\n {\n \"49435\": \"Who will announce it?\"\n },\n {\n \"49436\": \"Where might the sovereign show up?\"\n },\n {\n \"49437\": \"Does Canada hold a ceremony?\"\n },\n {\n \"49438\": \"Where will it be?\"\n },\n {\n \"49439\": \"Does someone give assent in person?\"\n },\n {\n \"49440\": \"who?\"\n },\n {\n \"49441\": \"What is the other way in Canada?\"\n },\n {\n \"49442\": \"Who will that go to?\"\n },\n {\n \"49443\": \"What does it tell them?\"\n },\n {\n \"49444\": \"Is there a ceremony in Australia?\"\n },\n {\n \"49445\": \"What happens there?\"\n },\n {\n \"49446\": \"Who?\"\n },\n {\n \"49447\": \"How often does the monarch not give assent?\"\n },\n {\n \"49448\": \"When might they not give it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49429\",\n \"answer\": \"through royal assent\"\n },\n {\n \"question_id\": \"49430\",\n \"answer\": \"makes it a law\"\n },\n {\n \"question_id\": \"49431\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49432\",\n \"answer\": \"sometimes\"\n },\n {\n \"question_id\": \"49433\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49434\",\n \"answer\": \"the Palace of Westminster\"\n },\n {\n \"question_id\": \"49435\",\n \"answer\": \"Lords Commissioners\"\n },\n {\n \"question_id\": \"49436\",\n \"answer\": \"in the House of Lords\"\n },\n {\n \"question_id\": \"49437\",\n \"answer\": \"sometimes\"\n },\n {\n \"question_id\": \"49438\",\n \"answer\": \"in the Senate\"\n },\n {\n \"question_id\": \"49439\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"49440\",\n \"answer\": \"the governor general\"\n },\n {\n \"question_id\": \"49441\",\n \"answer\": \"by a written declaration n\"\n },\n {\n \"question_id\": \"49442\",\n \"answer\": \"parliament\"\n },\n {\n \"question_id\": \"49443\",\n \"answer\": \"of the agreement to the bill.\"\n },\n {\n \"question_id\": \"49444\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"49445\",\n \"answer\": \"the just sign the bill.\"\n },\n {\n \"question_id\": \"49446\",\n \"answer\": \"the governor-general\"\n },\n {\n \"question_id\": \"49447\",\n \"answer\": \"almost never\"\n },\n {\n \"question_id\": \"49448\",\n \"answer\": \"in a dire political emergency\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n El Paso ( ; from Spanish, \"the pass\") is a city in and the seat of El Paso County, Texas, United States. It is situated in the far western corner of the U.S. state of Texas. \n\nEl Paso stands on the Rio Grande river across the Mexico–United States border from Ciudad Juárez, the largest city in the Mexican state of Chihuahua. The two cities, along with Las Cruces in the neighboring U.S. state of New Mexico, form a combined international metropolitan area sometimes referred to as the \"Paso del Norte\" or El Paso–Juárez–Las Cruces. The region of over 2.7 million people constitutes the largest bilingual and binational work force in the Western Hemisphere. \n\nThe city is the headquarters of Western Refining, a Fortune 500 company, and three publicly traded companies, as well as home to the \"Medical Center of the Americas\", the only medical research and care provider complex in West Texas and southern New Mexico, and the University of Texas at El Paso, the city's primary university. The city hosts the annual Sun Bowl college football post-season game, the second oldest bowl game in the country. \n\nEl Paso has a strong federal and military presence. William Beaumont Army Medical Center, Biggs Army Airfield, and Fort Bliss call the city home. Fort Bliss is one of the largest military complexes of the United States Army and the largest training area in the United States. Also headquartered in El Paso are the DEA domestic field division 7, El Paso Intelligence Center, Joint Task Force North, U.S. Border Patrol El Paso Sector, and U.S. Border Patrol Special Operations Group (SOG).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23122\": \"what is the article about?\"\n },\n {\n \"23123\": \"what does it mean in Spanish?\"\n },\n {\n \"23124\": \"is it in spain?\"\n },\n {\n \"23125\": \"what country?\"\n },\n {\n \"23126\": \"what is it's population?\"\n },\n {\n \"23127\": \"what is the name of the University there?\"\n },\n {\n \"23128\": \"name the larges military complex there\"\n },\n {\n \"23129\": \"does it have publicly traded companies there?\"\n },\n {\n \"23130\": \"how many?\"\n },\n {\n \"23131\": \"which county is it in?\"\n },\n {\n \"23132\": \"it is a city in which COUNTY?\"\n },\n {\n \"23133\": \"is it on a river?\"\n },\n {\n \"23134\": \"which one?\"\n },\n {\n \"23135\": \"what other country does this river border with?\"\n },\n {\n \"23136\": \"and does El paso have a medical place?\"\n },\n {\n \"23137\": \"what does it do?\"\n },\n {\n \"23138\": \"does the city have anything to do with sports?\"\n },\n {\n \"23139\": \"what?\"\n },\n {\n \"23140\": \"what is the name of the army airfield?\"\n },\n {\n \"23141\": \"are there a lot of bilingual people there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23122\",\n \"answer\": \"El Paso\"\n },\n {\n \"question_id\": \"23123\",\n \"answer\": \"the pass\"\n },\n {\n \"question_id\": \"23124\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"23125\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"23126\",\n \"answer\": \"2.7 million peopl\"\n },\n {\n \"question_id\": \"23127\",\n \"answer\": \"University of Texas at El Paso\"\n },\n {\n \"question_id\": \"23128\",\n \"answer\": \"Fort Bliss\"\n },\n {\n \"question_id\": \"23129\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23130\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"23131\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"23132\",\n \"answer\": \"El Paso County\"\n },\n {\n \"question_id\": \"23133\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23134\",\n \"answer\": \"Rio Grande river\"\n },\n {\n \"question_id\": \"23135\",\n \"answer\": \"Mexico\"\n },\n {\n \"question_id\": \"23136\",\n \"answer\": \"\\\"Medical Center of the Americas\"\n },\n {\n \"question_id\": \"23137\",\n \"answer\": \"medical research and care provider\"\n },\n {\n \"question_id\": \"23138\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"23139\",\n \"answer\": \"hosts the annual Sun Bowl\"\n },\n {\n \"question_id\": \"23140\",\n \"answer\": \"Biggs\"\n },\n {\n \"question_id\": \"23141\",\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 VIII \n\nTHE MAIL GUARD \n\nSomewhere about two in the morning a squall had burst upon the castle, a clap of screaming wind that made the towers rock, and a copious drift of rain that streamed from the windows. The wind soon blew itself out, but the day broke cloudy and dripping, and when the little party assembled at breakfast their humours appeared to have changed with the change of weather. Nance had been brooding on the scene at the river-side, applying it in various ways to her particular aspirations, and the result, which was hardly to her mind, had taken the colour out of her cheeks. Mr. Archer, too, was somewhat absent, his thoughts were of a mingled strain; and even upon his usually impassive countenance there were betrayed successive depths of depression and starts of exultation, which the girl translated in terms of her own hopes and fears. But Jonathan was the most altered: he was strangely silent, hardly passing a word, and watched Mr. Archer with an eager and furtive eye. It seemed as if the idea that had so long hovered before him had now taken a more solid shape, and, while it still attracted, somewhat alarmed his imagination. \n\nAt this rate, conversation languished into a silence which was only broken by the gentle and ghostly noises of the rain on the stone roof and about all that field of ruins; and they were all relieved when the note of a man whistling and the sound of approaching footsteps in the grassy court announced a visitor. It was the ostler from the \"Green Dragon\" bringing a letter for Mr. Archer. Nance saw her hero's face contract and then relax again at sight of it; and she thought that she knew why, for the sprawling, gross black characters of the address were easily distinguishable from the fine writing on the former letter that had so much disturbed him. He opened it and began to read; while the ostler sat down to table with a pot of ale, and proceeded to make himself agreeable after his fashion. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52060\": \"was it raining?\"\n },\n {\n \"52061\": \"what time did it start?\"\n },\n {\n \"52062\": \"what did the ostler bring to the table?\"\n },\n {\n \"52063\": \"were the breakfast goers happy about the weather?\"\n },\n {\n \"52064\": \"who was brooding?\"\n },\n {\n \"52065\": \"was Jonathan being loud?\"\n },\n {\n \"52066\": \"who was the most altered?\"\n },\n {\n \"52067\": \"who was he watching?\"\n },\n {\n \"52068\": \"had the wind died down?\"\n },\n {\n \"52069\": \"how was Mr. Archer's thoughts?\"\n },\n {\n \"52070\": \"who brought the letter?\"\n },\n {\n \"52071\": \"who was he bringing it to?\"\n },\n {\n \"52072\": \"did he open it?\"\n },\n {\n \"52073\": \"who was Nance's hero?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52060\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52061\",\n \"answer\": \"about two in the morning\"\n },\n {\n \"question_id\": \"52062\",\n \"answer\": \"a pot of ale\"\n },\n {\n \"question_id\": \"52063\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52064\",\n \"answer\": \"Nance\"\n },\n {\n \"question_id\": \"52065\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52066\",\n \"answer\": \"Jonathan\"\n },\n {\n \"question_id\": \"52067\",\n \"answer\": \"Mr. Archer\"\n },\n {\n \"question_id\": \"52068\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52069\",\n \"answer\": \"his thoughts were of a mingled strain\"\n },\n {\n \"question_id\": \"52070\",\n \"answer\": \"the ostler from the \\\"Green Dragon\\\"\"\n },\n {\n \"question_id\": \"52071\",\n \"answer\": \"Mr. Archer\"\n },\n {\n \"question_id\": \"52072\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52073\",\n \"answer\": \"Mr. Archer\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In the UK, most children have their lunches at school, but in some schools, parents can choose what their children eat. The children can have a school dinner-a hot, cooked meal; or they can take a packed lunch with them, which usually includes cold food like sandwiches. Often parents know what their children want. Cath, a mother of three children, told us, \"My children have packed lunches because they say they don't like to have school dinners. So I make three packed lunches every morning.\" However, another mother, Susan, made a different choice. She said, \"My daughters have a always had school dinners. I think they probably get healthier food at school than a few sandwiches I make for them.\" But how healthy are school dinners? Kaz, a father, thought poorly of them. He said, \"Fizzy drinks were offered and I think there were a lot of chips.\" Jamie Oliver spent a year working in a school kitchen. He was worried about the unhealthy food which included burgers, pizzas and chips. So he tried to cook healthy food such as good stews and curries for the children instead. So Jamie improved the school dinners, and trained the dinner ladies to cook healthy food in that school. Then he advised the government to improve school food across the country. And it seems that the changes have begun. Anna, a pupil, told us, \"We used to have a fast food window where you got chips and coke, but they stopped that this year. There's a salad restaurant, which is good, so it's healthier than it was.\" ,.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99005\": \"Where did children eat lunch?\"\n },\n {\n \"99006\": \"Who can choose the food?\"\n },\n {\n \"99007\": \"How many ways can they get their lunch?\"\n },\n {\n \"99008\": \"What is usually in the packed lunch?\"\n },\n {\n \"99009\": \"What temperature is the school food?\"\n },\n {\n \"99010\": \"Who talked to the government about lunch?\"\n },\n {\n \"99011\": \"Why did Cath pack lunches?\"\n },\n {\n \"99012\": \"Whose children always ate the school meal?\"\n },\n {\n \"99013\": \"Why did Susan's kids get the school meal?\"\n },\n {\n \"99014\": \"How did Kaz feel about them?\"\n },\n {\n \"99015\": \"Why did Jamie work in the school kitchen?\"\n },\n {\n \"99016\": \"How long did he work there?\"\n },\n {\n \"99017\": \"Who did he work with?\"\n },\n {\n \"99018\": \"What did he replace the unhealthy food with?\"\n },\n {\n \"99019\": \"What kind of unhealthy food was there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99005\",\n \"answer\": \"at school\"\n },\n {\n \"question_id\": \"99006\",\n \"answer\": \"parents\"\n },\n {\n \"question_id\": \"99007\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"99008\",\n \"answer\": \"sandwiches\"\n },\n {\n \"question_id\": \"99009\",\n \"answer\": \"hot\"\n },\n {\n \"question_id\": \"99010\",\n \"answer\": \"parents\"\n },\n {\n \"question_id\": \"99011\",\n \"answer\": \"My children\"\n },\n {\n \"question_id\": \"99012\",\n \"answer\": \"Cath\"\n },\n {\n \"question_id\": \"99013\",\n \"answer\": \"they get healthier food\"\n },\n {\n \"question_id\": \"99014\",\n \"answer\": \"she thought poorly of them\"\n },\n {\n \"question_id\": \"99015\",\n \"answer\": \"He was worried about the unhealthy food\"\n },\n {\n \"question_id\": \"99016\",\n \"answer\": \"a year\"\n },\n {\n \"question_id\": \"99017\",\n \"answer\": \"the government\"\n },\n {\n \"question_id\": \"99018\",\n \"answer\": \"good stews and curries\"\n },\n {\n \"question_id\": \"99019\",\n \"answer\": \"burgers, pizzas and chips\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Starting in the late 1950s, American computer scientist Paul Baran developed the concept Distributed Adaptive Message Block Switching with the goal to provide a fault-tolerant, efficient routing method for telecommunication messages as part of a research program at the RAND Corporation, funded by the US Department of Defense. This concept contrasted and contradicted the theretofore established principles of pre-allocation of network bandwidth, largely fortified by the development of telecommunications in the Bell System. The new concept found little resonance among network implementers until the independent work of Donald Davies at the National Physical Laboratory (United Kingdom) (NPL) in the late 1960s. Davies is credited with coining the modern name packet switching and inspiring numerous packet switching networks in Europe in the decade following, including the incorporation of the concept in the early ARPANET in the United States. \n\nPacket switching contrasts with another principal networking paradigm, circuit switching, a method which pre-allocates dedicated network bandwidth specifically for each communication session, each having a constant bit rate and latency between nodes. In cases of billable services, such as cellular communication services, circuit switching is characterized by a fee per unit of connection time, even when no data is transferred, while packet switching may be characterized by a fee per unit of information transmitted, such as characters, packets, or messages.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58890\": \"What is davies known for causing?\"\n },\n {\n \"58891\": \"What did he inspire?\"\n },\n {\n \"58892\": \"Where?\"\n },\n {\n \"58893\": \"Did it follow previous thought ideals?\"\n },\n {\n \"58894\": \"What did it challenge?\"\n },\n {\n \"58895\": \"Principles of what system?\"\n },\n {\n \"58896\": \"Who developed those principals?\"\n },\n {\n \"58897\": \"Was the concept an immediate success?\"\n },\n {\n \"58898\": \"When did it find success?\"\n },\n {\n \"58899\": \"Where did davies work curing this time?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58890\",\n \"answer\": \"Naming packet switching.\"\n },\n {\n \"question_id\": \"58891\",\n \"answer\": \"packet switching networks.\"\n },\n {\n \"question_id\": \"58892\",\n \"answer\": \"Europe.\"\n },\n {\n \"question_id\": \"58893\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"58894\",\n \"answer\": \"Established principles.\"\n },\n {\n \"question_id\": \"58895\",\n \"answer\": \"Network bandwidth.\"\n },\n {\n \"question_id\": \"58896\",\n \"answer\": \"Paul Baran\"\n },\n {\n \"question_id\": \"58897\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"58898\",\n \"answer\": \"In the late 1960s.\"\n },\n {\n \"question_id\": \"58899\",\n \"answer\": \"National Physical Laboratory (United Kingdom) (NPL)\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Around the world, media reaction to the Democrats' victory has poured in, as newspapers and broadcasters reflect on the Barack Obama campaign and the global impact his win will have. \n\nA woman picks up a copy of a newspaper in Sydney, Australia \n\nThe International Herald Tribune said that America had \"leaped\" across the color line, calling Obama \"a 47-year-old black man who made history both because of his race and in spite of it.\" \n\nThe Times of London said Obama had revitalized U.S. politics. \"The immense turnout in yesterday's election was testament to the energy, excitement and expectations of a rejuvenated American democracy, as well as the fears of a nation standing at a crossroads of history,\" the paper said. \n\nIt added that Obama's inheritance would be challenging. \"The new president faces economic and social convulsions at home, conflict abroad.\" \n\nAlso in London, The Guardian focused on the historic nature of the Democrats' win, saying: \"Victory in the end came as easily as the polls had predicted,\" and comparing Obama's achievement with Roosevelt's of 1932 and Reagan's of 1980. \n\nIn Germany, Der Spiegel's Gregor Peter Schmitz, writing from Chicago, called Obama's rise \"astonishing,\" adding that his \"curious ability to remain untouched by all the razzmatazz around him is likely to prove a source of strength.\" \n\nAl Jazeera said Obama had \"surfed to power on a wave of voter discontent generated by the failures of President George Bush and the Republican Party\" and added that he faces \"unique challenges.\" It continued that he must \"act quickly\" to restore confidence in the economy and with his country \"sick of war\" is \"unlikely to make any additional major overseas military commitments.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"43703\": \"The world is reacting to what event?\"\n },\n {\n \"43704\": \"What did the International Herald Tribune say America had done?\"\n },\n {\n \"43705\": \"What did they say Obama had made?\"\n },\n {\n \"43706\": \"Why?\"\n },\n {\n \"43707\": \"What did The Times say he had done for U.S. politics?\"\n },\n {\n \"43708\": \"How did they characterize the election turnout?\"\n },\n {\n \"43709\": \"What did they say it was a testimonial to?\"\n },\n {\n \"43710\": \"And what else?\"\n },\n {\n \"43711\": \"Did they think Obama's inheritance would be easy?\"\n },\n {\n \"43712\": \"What do they believe he has to face in the U.S.?\"\n },\n {\n \"43713\": \"And internationally?\"\n },\n {\n \"43714\": \"What did The Guardian emphasize?\"\n },\n {\n \"43715\": \"Did they call it a hard-won triumph?\"\n },\n {\n \"43716\": \"What prior victorious Democrat did they compare Obama's win to?\"\n },\n {\n \"43717\": \"And which Republican's?\"\n },\n {\n \"43718\": \"What year did the first of those triumphs take place?\"\n },\n {\n \"43719\": \"And the latter one?\"\n },\n {\n \"43720\": \"How did Der Spiegel describe Obama's ascension?\"\n },\n {\n \"43721\": \"What did Al Jazeera describe as the cause of his success?\"\n },\n {\n \"43722\": \"Caused by what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"43703\",\n \"answer\": \"The Democrats' victory.\"\n },\n {\n \"question_id\": \"43704\",\n \"answer\": \"\\\"Leaped\\\" across the color line.\"\n },\n {\n \"question_id\": \"43705\",\n \"answer\": \"History.\"\n },\n {\n \"question_id\": \"43706\",\n \"answer\": \"Both because of his race and in spite of it.\"\n },\n {\n \"question_id\": \"43707\",\n \"answer\": \"Revitalized them.\"\n },\n {\n \"question_id\": \"43708\",\n \"answer\": \"Immense.\"\n },\n {\n \"question_id\": \"43709\",\n \"answer\": \"The energy, excitement and expectations of a rejuvenated American democracy.\"\n },\n {\n \"question_id\": \"43710\",\n \"answer\": \"The fears of a nation standing at a crossroads of history.\"\n },\n {\n \"question_id\": \"43711\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"43712\",\n \"answer\": \"Economic and social convulsions.\"\n },\n {\n \"question_id\": \"43713\",\n \"answer\": \"Conflict.\"\n },\n {\n \"question_id\": \"43714\",\n \"answer\": \"The historic nature of the Democrats' win.\"\n },\n {\n \"question_id\": \"43715\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"43716\",\n \"answer\": \"Roosevelt's.\"\n },\n {\n \"question_id\": \"43717\",\n \"answer\": \"Reagan's.\"\n },\n {\n \"question_id\": \"43718\",\n \"answer\": \"1932.\"\n },\n {\n \"question_id\": \"43719\",\n \"answer\": \"1980.\"\n },\n {\n \"question_id\": \"43720\",\n \"answer\": \"Astonishing.\"\n },\n {\n \"question_id\": \"43721\",\n \"answer\": \"A wave of voter discontent.\"\n },\n {\n \"question_id\": \"43722\",\n \"answer\": \"The failures of President George Bush and the Republican Party.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n 1. The family planning policy (\"\") was introduced in 1979 to solve the population problems. Most couples could have only one child except some special families and those in some special areas. 2. Usually, all around good student, which was called \"thricegood\", was given to the students who were virtuous , talented and good at PE. It was firstly used in to 1950s by Mao to encourage young people to keep fit, study well and work hard. 3. During the early 1990s, state owned company reforms were getting tough. The workers were more than the jobs in most of the cities. Many workers were losing their jobs. \"Jobless\" was a hot topic at that time, so the leaders hoped the laid off workers could find new jobs or start up their own business. 4. One of Deng's clever ideas, \"one country, two systems\", was first performed in 1997. It described Hong Kong and Macao's situation after they returned to China. This policy would also be suitable for Taiwan. There would be one China, but Hong Kong, Macao and Taiwan could have their own economies and political systems. 5. Lei Feng was a soldier who was happy to help others. He died in an accident in 1962. On March 5th,1963, Mao wrote a piece, \"Learn from comrade Lei Feng\", to say the Chinese should help others when necessary. After that, March 5th became a Volunteer Day. 6. The phrase \"harmonious society\" appeared in 2004, referring to a peaceful society where all people would work together to make the life better. This idea has become the main goal of the Chinese Communist Party now.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66808\": \"What was introduced in 1979?\"\n },\n {\n \"66809\": \"Why?\"\n },\n {\n \"66810\": \"Could you have more than three children?\"\n },\n {\n \"66811\": \"Can everyone?\"\n },\n {\n \"66812\": \"What do you call a good learner?\"\n },\n {\n \"66813\": \"What about them made them good learners?\"\n },\n {\n \"66814\": \"Anything else?\"\n },\n {\n \"66815\": \"When did this ideology first originate?\"\n },\n {\n \"66816\": \"By whom?\"\n },\n {\n \"66817\": \"Why?\"\n },\n {\n \"66818\": \"What was a hot debate in the 1990's?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66808\",\n \"answer\": \"The family planning policy\"\n },\n {\n \"question_id\": \"66809\",\n \"answer\": \"to solve the population problems.\"\n },\n {\n \"question_id\": \"66810\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"66811\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66812\",\n \"answer\": \"\\\"thricegood\\\"\"\n },\n {\n \"question_id\": \"66813\",\n \"answer\": \"They were virtuous\"\n },\n {\n \"question_id\": \"66814\",\n \"answer\": \"talented and good at PE\"\n },\n {\n \"question_id\": \"66815\",\n \"answer\": \"1950s\"\n },\n {\n \"question_id\": \"66816\",\n \"answer\": \"Mao\"\n },\n {\n \"question_id\": \"66817\",\n \"answer\": \"encourage young people to keep fit, study well and work hard\"\n },\n {\n \"question_id\": \"66818\",\n \"answer\": \"\\\"Jobless\\\"\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- When Jupp Heynckes made his debut in the Bundesliga as a player back in 1965, the name of Bayern Munich was a new one for the nascent German soccer league. \n\nNow as coach of the country's most successful team, he has reached a significant milestone in what will be his final season in charge. \n\nOn Saturday the 67-year-old became only the second man to rack up 1,000 Bundesliga appearances as both player and coach as Bayern took another step towards a 23rd national title with a 6-1 thrashing of Werder Bremen in front of 71,000 fans at Allianz Arena. \n\nIt was Heynckes' 631st Bundesliga game as a head coach, coming 48 years after he played his first match for hometown club Borussia Monchengladbach on the day that Bayern made a Bundesliga bow against city rival 1860 Munich. \n\n\"It's an imposing total,\" said Heynckes, who is behind only former Greece coach Otto Rehgal's 1,033 Bundesliga matches -- 201 of which were as a player. \n\nHeynckes is on course for a treble of trophies, with Bayern poised to reach the quarterfinals of the Champions League after the 3-1 midweek win at Arsenal, having suffered an agonizing penalty shootout defeat by Chelsea in last season's title match despite home advantage. \n\nHe rested six key players ahead of Wednesday's German Cup clash with two-time defending Bundesliga champions Borussia Dortmund, but still had too much firepower as Bremen had a man sent off at 2-0 down and never recovered. \n\nMario Gomez netted twice in the second half to reach his 100th goal in a red shirt, having earlier forced Czech international Gebre Selassie into diverting a cross into his own net. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85904\": \"What sport did Bayern Munich play?\"\n },\n {\n \"85905\": \"Does he still play?\"\n },\n {\n \"85906\": \"Has anyone had more Bundesliga matches than Heynckes?\"\n },\n {\n \"85907\": \"Who?\"\n },\n {\n \"85908\": \"Who is Otto Rehgal?\"\n },\n {\n \"85909\": \"What level of play is Bayern expected to reach?\"\n },\n {\n \"85910\": \"Did they win against Chelsea?\"\n },\n {\n \"85911\": \"Was it a tough loss?\"\n },\n {\n \"85912\": \"What nationality is Gebre Selassie?\"\n },\n {\n \"85913\": \"How many fans were present at the Allianz arena?\"\n },\n {\n \"85914\": \"How many goals has Mario Gomez scored?\"\n },\n {\n \"85915\": \"How old is Heynckes?\"\n },\n {\n \"85916\": \"Will he still be in charge next season?\"\n },\n {\n \"85917\": \"When did he start playing soccer?\"\n },\n {\n \"85918\": \"Is his team successful?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85904\",\n \"answer\": \"soccer\"\n },\n {\n \"question_id\": \"85905\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85906\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85907\",\n \"answer\": \"Bayern Munich\"\n },\n {\n \"question_id\": \"85908\",\n \"answer\": \"Greece coach\"\n },\n {\n \"question_id\": \"85909\",\n \"answer\": \"the quarterfinals\"\n },\n {\n \"question_id\": \"85910\",\n \"answer\": \"no4\"\n },\n {\n \"question_id\": \"85911\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85912\",\n \"answer\": \"Czech\"\n },\n {\n \"question_id\": \"85913\",\n \"answer\": \"71,000\"\n },\n {\n \"question_id\": \"85914\",\n \"answer\": \"100\"\n },\n {\n \"question_id\": \"85915\",\n \"answer\": \"67\"\n },\n {\n \"question_id\": \"85916\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85917\",\n \"answer\": \"1965\"\n },\n {\n \"question_id\": \"85918\",\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) -- India will seek to become the No. 1 team in world cricket's Test rankings with victory in the final match of the series against Sri Lanka starting in Mumbai on Wednesday. \n\nMahendra Singh Dhoni's team will seek to overhaul both current incumbents South Africa and their second-placed visitors and clinch a 2-0 victory in the series. \n\n\"It will be an added responsibility. Becoming the number one side is not important, we've got to maintain our performance level,\" the captain told the official International Cricket Council Web site. \n\nIndia will be without opener Gautam Gambhir, who scored centuries in the first two matches but will be absent due to his sister's wedding. \n\nThe inexperienced Murali Vijay is expected to win his second test cap as his replacement. \n\nSri Lanka, meanwhile, have dropped spinner Ajantha Mendis as they seek to bounce back from the crushing innings defeat in Kanpur and register a first victory on India soil. \n\nSeam bowlers Nuwan Kulasekara and Dilhara Fernando are vying to take his place, having missed out as Sri Lanka employed a three-pronged spin attack last time out. \n\nThe tourists will be hoping for a better showing from veteran world record-holder Muttiah Muralitharan, who has taken just five wickets at a cost of 396 runs in the series. \n\n\"Murali is a bowler who has done so much for Sri Lanka and can sometimes have an off day. That's the way cricket goes,\" captain Kumar Sangakkara told the Cricinfo Web site. \n\n\"That doesn't mean he is any worse a bowler, he is still our best spinner and in my view the best spinner in the world. When you have that quality in the side you have to back that quality and that ability it's no different for tomorrow. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7925\": \"What sport does the story talk about?\"\n },\n {\n \"7926\": \"Who defeated Sri Lanka?\"\n },\n {\n \"7927\": \"Where?\"\n },\n {\n \"7928\": \"In what type of match?\"\n },\n {\n \"7929\": \"Who is the current holder of the championship?\"\n },\n {\n \"7930\": \"Who can India not rely on?\"\n },\n {\n \"7931\": \"Why?\"\n },\n {\n \"7932\": \"Who will be their opener?\"\n },\n {\n \"7933\": \"What is his specialty?\"\n },\n {\n \"7934\": \"Do they have confidence in him?\"\n },\n {\n \"7935\": \"Who did Sri Lanka leave behind?\"\n },\n {\n \"7936\": \"Who will replace him?\"\n },\n {\n \"7937\": \"What type of players are they?\"\n },\n {\n \"7938\": \"Who leads India's team?\"\n },\n {\n \"7939\": \"Who lost over 300 runs?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7925\",\n \"answer\": \"Cricket\"\n },\n {\n \"question_id\": \"7926\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"7927\",\n \"answer\": \"Mumbai\"\n },\n {\n \"question_id\": \"7928\",\n \"answer\": \"Test\"\n },\n {\n \"question_id\": \"7929\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"7930\",\n \"answer\": \"Gautam Gambhir\"\n },\n {\n \"question_id\": \"7931\",\n \"answer\": \"He will be absent due to his sister's wedding.\"\n },\n {\n \"question_id\": \"7932\",\n \"answer\": \"Murali Vijay\"\n },\n {\n \"question_id\": \"7933\",\n \"answer\": \"Spinner\"\n },\n {\n \"question_id\": \"7934\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"7935\",\n \"answer\": \"Ajantha Mendis\"\n },\n {\n \"question_id\": \"7936\",\n \"answer\": \"Nuwan Kulasekara or Dilhara Fernando\"\n },\n {\n \"question_id\": \"7937\",\n \"answer\": \"Seam bowlers\"\n },\n {\n \"question_id\": \"7938\",\n \"answer\": \"Mahendra Singh Dhoni\"\n },\n {\n \"question_id\": \"7939\",\n \"answer\": \"Muttiah Muralitharan\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 federal jury convicted a California man Monday in a case in which prosecutors say he convinced a woman to bomb a federal courthouse so he could turn her and others involved the scheme in to authorities, and collect reward money. \n\nDonny Love was found guilty on 10 charges, including the use of a weapon of mass destruction, for the role he played in the May 4, 2008, attack on San Diego's Edward J. Schwartz Federal Courthouse. \n\nNo one was injured in the blast that damaged the building's front lobby, shattered a glass door and broke a window in a building across the street. \n\nLove could face between 30 years and life in prison, said Assistant U.S. Attorney Fred Sheppard. \n\nDuring the two-week trial, prosecutors painted Love as the mastermind behind the blast. \n\nHe directed two others, Rachelle Lynette Carlock and Ella Louise Sanders to purchase explosive powder and to steal bomb-making materials, they said. Carlock was an on-again, off-again girlfriend to Love, said Sheppard. \n\nAccording to testimony, Carlock and Eric Reginald Robinson then drove from Love's house to San Diego with a backpack, containing three pipe bombs. Carlock detonated the bombs at the front doors of the courthouse, prosecutors said. \n\nCarlock, Sanders and Robinson were charged and each previously pleaded guilty for their parts in the plan. \n\nAt the time of the bombing, Love was in \"dire financial straits,\" prosecutors said, and faced jail time stemming from two pending criminal cases. \n\n\"The evidence showed that he directed the May 4, 2008, bombing for the purpose of obtaining reward money and a break on his state charges by providing information about the bombing to law enforcement,\" prosecutors said in a statement. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78619\": \"Who was found guilty of 10 charges?\"\n },\n {\n \"78620\": \"What was the name of the person who was found guilty of 10 charges?\"\n },\n {\n \"78621\": \"Was anyone injured in the attack?\"\n },\n {\n \"78622\": \"Where was the bombing?\"\n },\n {\n \"78623\": \"When?\"\n },\n {\n \"78624\": \"Who did Love convince to bomb the courthouse?\"\n },\n {\n \"78625\": \"Why?\"\n },\n {\n \"78626\": \"How long could Love get in prison?\"\n },\n {\n \"78627\": \"Who was that according to?\"\n },\n {\n \"78628\": \"Who is Fred Sheppard?\"\n },\n {\n \"78629\": \"Who else was directed by Love besides Carlock?\"\n },\n {\n \"78630\": \"What did Love tell them to buy and steal?\"\n },\n {\n \"78631\": \"What city was Love's house in?\"\n },\n {\n \"78632\": \"Was Love rich?\"\n },\n {\n \"78633\": \"Who set off the bombs at the courthouse?\"\n },\n {\n \"78634\": \"How long was the trial?\"\n },\n {\n \"78635\": \"Where did Carlock, Robinson and Love drive to with a backpack?\"\n },\n {\n \"78636\": \"How many pipe bombs did they have?\"\n },\n {\n \"78637\": \"Did they drive to the San Diego in an SUV?\"\n },\n {\n \"78638\": \"How many pending criminal cases did Love face?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78619\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"78620\",\n \"answer\": \"Donny Love\"\n },\n {\n \"question_id\": \"78621\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78622\",\n \"answer\": \"San Diego's Edward J. Schwartz Federal Courthouse\"\n },\n {\n \"question_id\": \"78623\",\n \"answer\": \"May 4, 2008\"\n },\n {\n \"question_id\": \"78624\",\n \"answer\": \"Rachelle Lynette Carlock\"\n },\n {\n \"question_id\": \"78625\",\n \"answer\": \"obtain reward money and a break on his state charges\"\n },\n {\n \"question_id\": \"78626\",\n \"answer\": \"between 30 years and life\"\n },\n {\n \"question_id\": \"78627\",\n \"answer\": \"Fred Sheppard\"\n },\n {\n \"question_id\": \"78628\",\n \"answer\": \"Assistant U.S. Attorney\"\n },\n {\n \"question_id\": \"78629\",\n \"answer\": \"Ella Louise Sanders\"\n },\n {\n \"question_id\": \"78630\",\n \"answer\": \"explosive powder and bomb-making materials\"\n },\n {\n \"question_id\": \"78631\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78632\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"78633\",\n \"answer\": \"Carlock\"\n },\n {\n \"question_id\": \"78634\",\n \"answer\": \"two-weeks\"\n },\n {\n \"question_id\": \"78635\",\n \"answer\": \"San Diego\"\n },\n {\n \"question_id\": \"78636\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"78637\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"78638\",\n \"answer\": \"two\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Moses () is a prophet in the Abrahamic religions. According to the Hebrew Bible, he was adopted by an Egyptian princess, and later in life became the leader of the Israelites and lawgiver, to whom the authorship of the Torah, or acquisition of the Torah from Heaven is traditionally attributed. Also called \"Moshe Rabbenu\" in Hebrew (, \"lit.\" \"Moses our Teacher\"), he is the most important prophet in Judaism. He is also an important prophet in Christianity, Islam, the Bahá'í Faith, and a number of other Abrahamic religions. \n\nAccording to the Book of Exodus, Moses was born in a time when his people, the Israelites, an enslaved minority, were increasing in numbers and the Egyptian Pharaoh was worried that they might ally themselves with Egypt's enemies. Moses' Hebrew mother, Jochebed, secretly hid him when the Pharaoh ordered all newborn Hebrew boys to be killed in order to reduce the population of the Israelites. Through the Pharaoh's daughter (identified as Queen Bithia in the Midrash), the child was adopted as a foundling from the Nile river and grew up with the Egyptian royal family. After killing an Egyptian slavemaster (because the slavemaster was smiting a Hebrew), Moses fled across the Red Sea to Midian, where he encountered The Angel of the Lord, speaking to him from within a burning bush on Mount Horeb (which he regarded as the Mountain of God).\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93627\": \"who is moses\"\n },\n {\n \"93628\": \"who adopted him\"\n },\n {\n \"93629\": \"who secretly hid him\"\n },\n {\n \"93630\": \"who is queen bithia\"\n },\n {\n \"93631\": \"who fled across the red sea\"\n },\n {\n \"93632\": \"where was the burning bush\"\n },\n {\n \"93633\": \"who did moses kill\"\n },\n {\n \"93634\": \"what time was moses born\"\n },\n {\n \"93635\": \"who ordered all newborns to be killed\"\n },\n {\n \"93636\": \"who adopted him\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93627\",\n \"answer\": \"a prophet\"\n },\n {\n \"question_id\": \"93628\",\n \"answer\": \"an Egyptian princess\"\n },\n {\n \"question_id\": \"93629\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"93630\",\n \"answer\": \"the Pharaoh's daughter\"\n },\n {\n \"question_id\": \"93631\",\n \"answer\": \"Moses\"\n },\n {\n \"question_id\": \"93632\",\n \"answer\": \"Mount Horeb\"\n },\n {\n \"question_id\": \"93633\",\n \"answer\": \"an Egyptian slavemaster\"\n },\n {\n \"question_id\": \"93634\",\n \"answer\": \"when the Israelites were increasing in numbers\"\n },\n {\n \"question_id\": \"93635\",\n \"answer\": \"the Egyptian Pharaoh\"\n },\n {\n \"question_id\": \"93636\",\n \"answer\": \"the Egyptian royal family\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter VI.--WINTER-QUARTERS 1760-1761. \n\nA melancholy little event, which afterwards proved unexpectedly unfortunate for Friedrich, had happened in England ten days before the Battle of Torgau. Saturday, 25th October, 1760, George II., poor old gentleman, suddenly died. He was in his 77th year; feeble, but not feebler than usual,--unless, perhaps, the unaccountable news from Kloster Kampen may have been too agitating to the dim old mind? On the Monday of this week he had, \"from a tent in Hyde Park,\" presided at a Review of Dragoons; and on Thursday, as his Coldstream Guards were on march for Portsmouth and foreign service, \"was in his Portico at Kensington to see them pass;\"--full of zeal always in regard to military matters, and to this War in particular. Saturday, by sunrise he was on foot; took his cup of chocolate; inquired about the wind, and the chances of mails arriving; opened his window, said he would have a turn in the Gardens, the morning being so fine. It was now between 7 and 8. The valet then withdrew with the chocolate apparatus; but had hardly shut the door, when he heard a deep sigh, and fall of something,--\"billet of wood from the fire?\" thought he;--upon which, hurrying back, he found it was the King, who had dropt from his seat, \"as if in attempting to ring the bell.\" King said faintly, \"Call Amelia,\" and instantly died. Poor deaf Amelia (Friedrich's old love, now grown old and deaf) listened wildly for some faint sound from those lips now mute forever. George Second was no more; his grandson George Third was now King. [Old Newspapers (in _Gentleman's Magazine,_ xxx. 486-488).] \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"23613\": \"Who passed away?\"\n },\n {\n \"23614\": \"Was he young?\"\n },\n {\n \"23615\": \"How old was he?\"\n },\n {\n \"23616\": \"Was he rich?\"\n },\n {\n \"23617\": \"Was his death expected?\"\n },\n {\n \"23618\": \"In what country?\"\n },\n {\n \"23619\": \"Who dropped something?\"\n },\n {\n \"23620\": \"Who did he wish to contact?\"\n },\n {\n \"23621\": \"Did he talk to her?\"\n },\n {\n \"23622\": \"Who was mute?\"\n },\n {\n \"23623\": \"Who was now ruler?\"\n },\n {\n \"23624\": \"What was his name?\"\n },\n {\n \"23625\": \"When was his death?\"\n },\n {\n \"23626\": \"What was the date?\"\n },\n {\n \"23627\": \"Was the country at peace?\"\n },\n {\n \"23628\": \"What chapter is this?\"\n },\n {\n \"23629\": \"What is the title?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"23613\",\n \"answer\": \"George II\"\n },\n {\n \"question_id\": \"23614\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23615\",\n \"answer\": \"77\"\n },\n {\n \"question_id\": \"23616\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23617\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23618\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"23619\",\n \"answer\": \"The king\"\n },\n {\n \"question_id\": \"23620\",\n \"answer\": \"Amelia\"\n },\n {\n \"question_id\": \"23621\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23622\",\n \"answer\": \"the king\"\n },\n {\n \"question_id\": \"23623\",\n \"answer\": \"his grandson\"\n },\n {\n \"question_id\": \"23624\",\n \"answer\": \"George III\"\n },\n {\n \"question_id\": \"23625\",\n \"answer\": \"1760\"\n },\n {\n \"question_id\": \"23626\",\n \"answer\": \"October 25th\"\n },\n {\n \"question_id\": \"23627\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"23628\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"23629\",\n \"answer\": \"WINTER-QUARTERS 1760-1761.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Paper is a thin material produced by pressing together moist fibres of cellulose pulp derived from wood, rags or grasses, and drying them into flexible sheets. It is a versatile material with many uses, including writing, printing, packaging, cleaning, and a number of industrial and construction processes. \n\nThe pulp papermaking process is said to have been developed in China during the early 2nd century AD, possibly as early as the year 105 A.D., by the Han court eunuch Cai Lun, although the earliest archaeological fragments of paper derive from the 2nd century BC in China. The modern pulp and paper industry is global, with China leading its production and the United States right behind it. \n\nThe oldest known archaeological fragments of the immediate precursor to modern paper, date to the 2nd century BC in China. The pulp papermaking process is ascribed to Cai Lun, a 2nd-century AD Han court eunuch. With paper as an effective substitute for silk in many applications, China could export silk in greater quantity, contributing to a Golden Age.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61264\": \"Is paper a thick material?\"\n },\n {\n \"61265\": \"When did the pulp process develop?\"\n },\n {\n \"61266\": \"Where?\"\n },\n {\n \"61267\": \"How is it made?\"\n },\n {\n \"61268\": \"What is something it can be used for?\"\n },\n {\n \"61269\": \"What is another thing it can be used for?\"\n },\n {\n \"61270\": \"Is the industry local?\"\n },\n {\n \"61271\": \"Who is the main maker?\"\n },\n {\n \"61272\": \"Then who?\"\n },\n {\n \"61273\": \"Where were the oldest pieces found?\"\n },\n {\n \"61274\": \"What did it replace?\"\n },\n {\n \"61275\": \"What did it cause?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61264\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"61265\",\n \"answer\": \"The early 2nd century AD.\"\n },\n {\n \"question_id\": \"61266\",\n \"answer\": \"China.\"\n },\n {\n \"question_id\": \"61267\",\n \"answer\": \"By pressing together moist cellulose pulp derived from wood, rags or grasses, and drying them.\"\n },\n {\n \"question_id\": \"61268\",\n \"answer\": \"Writing.\"\n },\n {\n \"question_id\": \"61269\",\n \"answer\": \"Cleaning.\"\n },\n {\n \"question_id\": \"61270\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"61271\",\n \"answer\": \"China.\"\n },\n {\n \"question_id\": \"61272\",\n \"answer\": \"The United States.\"\n },\n {\n \"question_id\": \"61273\",\n \"answer\": \"China.\"\n },\n {\n \"question_id\": \"61274\",\n \"answer\": \"Silk.\"\n },\n {\n \"question_id\": \"61275\",\n \"answer\": \"A Golden Age.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Yesterday, Emily and Evelyn went to the zoo with their mom. They left the house right after breakfast so that they would be there when the zoo opened. Once inside, they raced to see the monkeys swinging around their cages. There were even two baby monkeys! The girls also enjoyed feeding birds in the walk-in bird cage. The birds were very interested in picking seeds from the popsicle stick that Emily held out to them. Next, it was time to stop for ice cream. Each girl chose a small cup of soft ice cream. Emily chose a swirl of chocolate and vanilla and Evelyn had chocolate. Ice cream at the zoo was the perfect treat on a hot summer day. The best part of the girls' visit was the giraffe area. They walked past rhinos and tortoises to get to the giraffe area which was on a raised deck. The giraffes stretched their necks up to the deck to eat leaves and hay that were placed there for them. Emily and Evelyn bought special crackers to feed to the giraffes. Emily liked that she could pet the giraffes when they reached out to grab the crackers with their long tongues. Evelyn liked to watch the giraffes, but did not want to feed one herself. After feeding the giraffes, the girls left the zoo, hot and tired and ready to return soon!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92754\": \"Who went to the zoo?\"\n },\n {\n \"92755\": \"When did they go?\"\n },\n {\n \"92756\": \"Did they go after lunch?\"\n },\n {\n \"92757\": \"What animal did they check out first?\"\n },\n {\n \"92758\": \"Where were they?\"\n },\n {\n \"92759\": \"Where did they go next?\"\n },\n {\n \"92760\": \"Holding what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92754\",\n \"answer\": \"Emily, Evelyn, and their mom\"\n },\n {\n \"question_id\": \"92755\",\n \"answer\": \"Yesterday\"\n },\n {\n \"question_id\": \"92756\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92757\",\n \"answer\": \"the monkeys\"\n },\n {\n \"question_id\": \"92758\",\n \"answer\": \"their cages\"\n },\n {\n \"question_id\": \"92759\",\n \"answer\": \"the walk-in bird cage\"\n },\n {\n \"question_id\": \"92760\",\n \"answer\": \"the popsicle stick\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Seven years ago, Dawn Larkin-Wallace, a mom of three, took up running to lose that 10 to 20 pounds of baby weight that just wouldn't go away. \n\nShe figured once she dropped the weight, she'd be off the treadmill. \n\nWhat she could have never imagined is that she'd become a marathon runner who inspired her three children to start running, too. \n\n\"We're just a running family,\" said Larkin-Wallace of Baldwin, New York, who is part of the running club Black Girls RUN!, a national group encouraging African-American women to make health and fitness a priority. \n\nFirst, Larkin-Wallace signed up 15-year-old daughter Kayla, a high school sophomore, for a race after realizing that the amount of running she did during her soccer games was the equivalent of a 5K. \n\nWith the \"positive peer pressure ... and the competitive spirit\" that exists in the Wallace household, she said with a laugh, \"of course, her brother and sister decided that that's something they wanted to do, too.\" \n\nKimberly, 11, and Kevin Jr., 9, ran their first 5K's this year. \n\nLarkin-Wallace said her goal is for \"healthy living to become a lifestyle and not just a fad\" among her kids, who also play a range of sports from basketball to soccer to lacrosse. \n\nWhat she's also very mindful of is encouraging her children, especially her girls, to feel good about their bodies. A recent study found that two in three 13-year-olds worry about gaining weight. \n\nHelping her girls feel good about their bodies \n\n\"It's always on my mind, and I have African-American daughters. ... I have to help them understand that because their body type is different than others doesn't make one better or more right than the other,\" she said during a conversation with her family in their home. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20734\": \"What do 66% of teenagers worry about?\"\n },\n {\n \"20735\": \"What does Dawn Larkin-Wallace say about that?\"\n },\n {\n \"20736\": \"What group did she start?\"\n },\n {\n \"20737\": \"What group is she a part of?\"\n },\n {\n \"20738\": \"What does the group do?\"\n },\n {\n \"20739\": \"What does her daughter Kayla play?\"\n },\n {\n \"20740\": \"How many members of her family have run a 5k?\"\n },\n {\n \"20741\": \"Does the group only encourage walking and running?\"\n },\n {\n \"20742\": \"Did Dawn start running as a hobby?\"\n },\n {\n \"20743\": \"How long ago did she start?\"\n },\n {\n \"20744\": \"Did she see it being a long term thing?\"\n },\n {\n \"20745\": \"Has she competed in any events?\"\n },\n {\n \"20746\": \"Do all of her children run too?\"\n },\n {\n \"20747\": \"What sort of atmosphere pervade their family's home?\"\n },\n {\n \"20748\": \"How many members of her family is a teen?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20734\",\n \"answer\": \"Gaining weight\"\n },\n {\n \"question_id\": \"20735\",\n \"answer\": \"\\\"...because their body type is different than others doesn't make one better or more right than the other,\\\"\"\n },\n {\n \"question_id\": \"20736\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"20737\",\n \"answer\": \"Black Girls RUN!\"\n },\n {\n \"question_id\": \"20738\",\n \"answer\": \"Encourages African-American women to make health and fitness a priority\"\n },\n {\n \"question_id\": \"20739\",\n \"answer\": \"Soccer\"\n },\n {\n \"question_id\": \"20740\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"20741\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20742\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20743\",\n \"answer\": \"Seven years ago\"\n },\n {\n \"question_id\": \"20744\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20745\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"20746\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20747\",\n \"answer\": \"Competitive spirit\"\n },\n {\n \"question_id\": \"20748\",\n \"answer\": \"One\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Appalachian Mountains (i/ˌæpəˈleɪʃᵻn/ or /ˌæpəˈlætʃᵻn/,[note 1] French: les Appalaches), often called the Appalachians, are a system of mountains in eastern North America. The Appalachians first formed roughly 480 million years ago during the Ordovician Period and once reached elevations similar to those of the Alps and the Rocky Mountains before they were eroded. The Appalachian chain is a barrier to east-west travel as it forms a series of alternating ridgelines and valleys oriented in opposition to any road running east-west. \n\nDefinitions vary on the precise boundaries of the Appalachians. The United States Geological Survey (USGS) defines the Appalachian Highlands physiographic division as consisting of thirteen provinces: the Atlantic Coast Uplands, Eastern Newfoundland Atlantic, Maritime Acadian Highlands, Maritime Plain, Notre Dame and Mégantic Mountains, Western Newfoundland Mountains, Piedmont, Blue Ridge, Valley and Ridge, Saint Lawrence Valley, Appalachian Plateaus, New England province, and the Adirondack provinces. A common variant definition does not include the Adirondack Mountains, which geologically belong to the Grenville Orogeny and have a different geological history from the rest of the Appalachians.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98974\": \"Where are the Appalachains?\"\n },\n {\n \"98975\": \"How many pronvices are there?\"\n },\n {\n \"98976\": \"Is New York one of them?\"\n },\n {\n \"98977\": \"Which province is sometimes left out?\"\n },\n {\n \"98978\": \"What does it belong to geologically?\"\n },\n {\n \"98979\": \"Is Blue Ridge a province?\"\n },\n {\n \"98980\": \"What is a mountain chain with a similar elevation?\"\n },\n {\n \"98981\": \"And another?\"\n },\n {\n \"98982\": \"When did the Appalachians form?\"\n },\n {\n \"98983\": \"Did the form during the Jurassic period?\"\n },\n {\n \"98984\": \"Which period did they form?\"\n },\n {\n \"98985\": \"Which continent are they in?\"\n },\n {\n \"98986\": \"Do they go north-south or east-west?\"\n },\n {\n \"98987\": \"What is the french name for the mountains?\"\n },\n {\n \"98988\": \"Where the mountains eroded?\"\n },\n {\n \"98989\": \"What US agency named the division?\"\n },\n {\n \"98990\": \"Do definitions vary?\"\n },\n {\n \"98991\": \"What is an example of a division?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98974\",\n \"answer\": \"Eastern North America\"\n },\n {\n \"question_id\": \"98975\",\n \"answer\": \"thirteen\"\n },\n {\n \"question_id\": \"98976\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"98977\",\n \"answer\": \"Adirondack Mountains,\"\n },\n {\n \"question_id\": \"98978\",\n \"answer\": \"The Grenville Orogeny.\"\n },\n {\n \"question_id\": \"98979\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"98980\",\n \"answer\": \"The Alps\"\n },\n {\n \"question_id\": \"98981\",\n \"answer\": \"The Rocky Mountains.\"\n },\n {\n \"question_id\": \"98982\",\n \"answer\": \"480 million years ago.\"\n },\n {\n \"question_id\": \"98983\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"98984\",\n \"answer\": \"The Ordovician Period.\"\n },\n {\n \"question_id\": \"98985\",\n \"answer\": \"North America.\"\n },\n {\n \"question_id\": \"98986\",\n \"answer\": \"North-South\"\n },\n {\n \"question_id\": \"98987\",\n \"answer\": \"Les Appalaches.\"\n },\n {\n \"question_id\": \"98988\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"98989\",\n \"answer\": \"The United States Geological Survey.\"\n },\n {\n \"question_id\": \"98990\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"98991\",\n \"answer\": \"the Grenville Orogeny\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n I was working with a client who was completely burned out on her career and life and then ready for a career change. As we were talking, she said, \"I just wish I had meaningful work. I don't feel like I am making a difference. I am just wasting my life.\" This is the theme I hear most often from clients who have been in the workforce awhile.All of us want to feel like we are making a difference. We want to believe our work means something. The problem comes in defining \"meaningful work\". What is it? That answer is different for everyone. For some meaningful work might be helping others organize their office. For others it may mean making a million dollars. \n\nWhat really matters is how you see it. What is meaningful work to you? Take out a piece of paper and answer these questions. How do you define meaningful work? When do you feel like you are really making a difference? What work have you done so far that feels the most meaningful? Write down whatever comes to mind. \n\nWhat you want to do is meaningful. It is very easy to start judging yourself as being selfish. Stop! Allow yourself to be honest. The fact is when Picasso painted; he was doing it because he liked to paint. He was not thinking, \"Oh, I hope this brings joy to others' lives.\" He painted because he wanted to. When Beethoven composed, he did it because he loved music. Even scientists searching for a cure for cancer are immersed in their work because it fascinates them. \n\nDon't look down on your work. It is easy to _ the importance of work that feels meaningful. I remember Tony Robbins told a story of talking with the owner of a major company. The man said to Tony, \"I wish I could do what you do because it makes such adifference in people's lives\". Tony said, \"You have got to be kidding! Look at what adifference you make. You provide work, health insurance and security for thousands ofpeople!\" Don't underestimate the value you provide. \n\nTake a look at what you have written about meaningful work. Do you see any themes? How do you wish to contribute to this world? Whatever you choose, remember that the greatest gift you can give is to find work that makes you feel fulfilled and delighted. Respect your preference because giving your gifts to the world, whatever they look like, is the most meaningful action you can ever take.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68327\": \"Can you easily define meaningful work?\"\n },\n {\n \"68328\": \"Is the answer the same for everyone?\"\n },\n {\n \"68329\": \"Who was this person working with?\"\n },\n {\n \"68330\": \"What did the client say?\"\n },\n {\n \"68331\": \"Did they hear that often?\"\n },\n {\n \"68332\": \"What do all people want to feel like?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"68327\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68328\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"68329\",\n \"answer\": \"a client\"\n },\n {\n \"question_id\": \"68330\",\n \"answer\": \"\\\"I just wish I had meaningful work. I don't feel like I am making a difference. I am just wasting my life.\\\"\"\n },\n {\n \"question_id\": \"68331\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"68332\",\n \"answer\": \"like we are making a difference\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Connie Lau hates smoking. \"It smells awful, and it's so bad for you. It breaks my heart to see my friends smoking. I try to get them to give up smoking.\" She says. \n\nSo why does Connie walk into convenience stores and try to buy cigarettes? She is testing to see if stores will sell cigarettes to a kid who is younger than 18. \"You have to be 18 to purchase cigarettes, and I'm 16, so if they sell to me, they're breaking the law,\" Connie says. \n\nConnie isn't a vigilante ; She works with local police in her town of Castro Valley, California. Officers drive her to stores, and she goes in alone to try to buy cigarettes. If the person behind the counter sells her a pack, an officer comes in and writes the business a ticket for breaking the law. \n\nMost stores obey the law and don't sell her cigarettes. The law requires that customers show ID if store employees ask them to. \"When they ask your age, you can't lie,\" Connie says. \"Most stores don't sell to me. In a year, we've visited almost 150 stores and had only 15 sales.\" \n\nWorking undercover can be scary, even with police nearby. Connie said one cashier refused to sell her cigarettes and then got angry when he found out her age. He threatened to call the authorities. \"To calm him down, the police went in to explain that I was undercover,\" she says. \n\nMost teens wouldn't think of going undercover for the police. What's Connie's motivation ? For starters, she can't stand smoking. But she also believes it's important for young people like her to try to make a real impact in their communities. In her view, teens can do more than get good grades in school, do chores at home, and do well in out-of-class activities. \n\nEvery time she stops the sale of cigarettes to children, she's helping to uphold the law. \"A single teenager can make a big difference,\" Connie says. \"For the most part, when stores get caught, they learn their lesson and don't do it again.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57193\": \"Who hates smoking?\"\n },\n {\n \"57194\": \"Why?\"\n },\n {\n \"57195\": \"How old is she?\"\n },\n {\n \"57196\": \"Does she try to buy cigarettes?\"\n },\n {\n \"57197\": \"Who does she work with?\"\n },\n {\n \"57198\": \"Where?\"\n },\n {\n \"57199\": \"Where?\"\n },\n {\n \"57200\": \"Do most stores sell her cigarettes?\"\n },\n {\n \"57201\": \"How many stores have they visited in the last year?\"\n },\n {\n \"57202\": \"How many sales happened at those stores?\"\n },\n {\n \"57203\": \"Has she ever been scared?\"\n },\n {\n \"57204\": \"Why?\"\n },\n {\n \"57205\": \"Did he call?\"\n },\n {\n \"57206\": \"Why does she do what she does?\"\n },\n {\n \"57207\": \"Are there any other reasons?\"\n },\n {\n \"57208\": \"What are they?\"\n },\n {\n \"57209\": \"What are they?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57193\",\n \"answer\": \"Connie Lau\"\n },\n {\n \"question_id\": \"57194\",\n \"answer\": \"It smells awful\"\n },\n {\n \"question_id\": \"57195\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"57196\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57197\",\n \"answer\": \"local police\"\n },\n {\n \"question_id\": \"57198\",\n \"answer\": \"in her town\"\n },\n {\n \"question_id\": \"57199\",\n \"answer\": \"Castro Valley, California\"\n },\n {\n \"question_id\": \"57200\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57201\",\n \"answer\": \"150\"\n },\n {\n \"question_id\": \"57202\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"57203\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57204\",\n \"answer\": \"one cashier refused to sell her cigarettes and then got angry when he found out her age. He threatened to call the authorities.\"\n },\n {\n \"question_id\": \"57205\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57206\",\n \"answer\": \"she can't stand smoking\"\n },\n {\n \"question_id\": \"57207\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57208\",\n \"answer\": \"believes it's important for young people like her to try to make a real impact in their communities\"\n },\n {\n \"question_id\": \"57209\",\n \"answer\": \"believes it's important for young people like her to try to make a real impact in their communities\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New York (CNN) -- A self-described \"ex-madam\" who claims she supplied fellow city comptroller candidate Eliot Spitzer with escorts several years ago is facing charges of illegally distributing prescription drugs, authorities said. \n\nKristin Davis, 38, was arrested on Monday night and charged with selling Adderall, Xanax and other drugs. She's also accused of orchestrating the sale of approximately 180 oxycodone pills for cash. \n\nThe candidate was released Tuesday on $100,000 bail, with a preliminary hearing scheduled for September 5. Prosecutors said she will have strict pretrial supervision. \n\n\"Prescription drug abuse is the fastest-growing drug problem in this country, resulting in more overdose deaths than heroin and cocaine combined, and this office has a zero tolerance policy towards anyone who helps to spread this plague at any level,\" Preet Bharara, Manhattan U.S. Attorney, said in a statement. \n\nSpitzer, Weiner and why New York is talking about sex \n\nDavis is charged with four counts of distributing and possessing with intent to distribute a controlled substance. She faces a maximum sentence of 20 years in prison for each count, if convicted. \n\nProsecutors allege that from 2009 through 2011 Davis bought ecstasy pills, Adderall pills and Xanax pills from an FBI cooperating witness at least once a month, paying hundreds of dollars for each purchase. She told the witness she provided these drugs to people at house parties, authorities say. \n\nAn attorney for Davis was could not be immediately reached for comment. \n\nDavis' campaign manager, Andrew Miller, said he was aware of the arrest but couldn't provide any information. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22734\": \"Is Allison Davis the campaign manager?\"\n },\n {\n \"22735\": \"Who is?\"\n },\n {\n \"22736\": \"Was he available for comment?\"\n },\n {\n \"22737\": \"Was he helpful?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22734\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22735\",\n \"answer\": \"Andrew Miller\"\n },\n {\n \"question_id\": \"22736\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22737\",\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 17: The North Coach. \n\nBarnet was then, as now, a somewhat straggling place. Soon after entering it, the horseman turned off from the main road. His pursuers were but fifty yards behind him, and they kept him in sight until, after proceeding a quarter of a mile, he stopped at a small tavern, where he dismounted, and a boy took his horse and led it round by the side of the house. \n\n\"Run to earth!\" Harry said exultantly. \"He is not likely to move from there tonight.\" \n\n\"At any rate, he is safe for a couple of hours,\" Charlie said. \"So we will go to our inn, and have a good meal. By that time it will be quite dark, and we will have a look at the place he has gone into; and if we can't learn anything, we must watch it by turns till midnight. We will arrange, at the inn, to hire a horse. One will be enough. He only caught a glimpse of us at that inn, and certainly would not recognize one of us, if he saw him alone. The other can walk.\" \n\n\"But which way, Charlie? He may go back again.\" \"It is hardly likely he came here merely for the pleasure of stopping the night at that little tavern. I have no doubt he is bound for London. You shall take the horse, Harry, and watch until he starts, and then follow him, just managing to come up close to him as he gets into town. I will start early, and wait at the beginning of the houses, and it is hard if one or other of us does not manage to find out where he hides.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3330\": \"Who said to run?\"\n },\n {\n \"3331\": \"Who was he talking to?\"\n },\n {\n \"3332\": \"Where did the second man say they would go?\"\n },\n {\n \"3333\": \"And do what?\"\n },\n {\n \"3334\": \"Who were they following?\"\n },\n {\n \"3335\": \"How far were they away from him?\"\n },\n {\n \"3336\": \"Where did he halt?\"\n },\n {\n \"3337\": \"What happened to his steed?\"\n },\n {\n \"3338\": \"What did he do with it?\"\n },\n {\n \"3339\": \"What did Charlie suggest they had to do?\"\n },\n {\n \"3340\": \"Until what time?\"\n },\n {\n \"3341\": \"Would they both do that at once?\"\n },\n {\n \"3342\": \"Would they both ride?\"\n },\n {\n \"3343\": \"Where did Harry think the man was headed?\"\n },\n {\n \"3344\": \"Who did he think should ride?\"\n },\n {\n \"3345\": \"What did he want him to do?\"\n },\n {\n \"3346\": \"And then what?\"\n },\n {\n \"3347\": \"In the meantime, where would he be waiting?\"\n },\n {\n \"3348\": \"What was the name of the location this happened?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3330\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"3331\",\n \"answer\": \"Charlie\"\n },\n {\n \"question_id\": \"3332\",\n \"answer\": \"to their inn\"\n },\n {\n \"question_id\": \"3333\",\n \"answer\": \"have a good meal\"\n },\n {\n \"question_id\": \"3334\",\n \"answer\": \"the horseman\"\n },\n {\n \"question_id\": \"3335\",\n \"answer\": \"fifty yards\"\n },\n {\n \"question_id\": \"3336\",\n \"answer\": \"a small tavern,\"\n },\n {\n \"question_id\": \"3337\",\n \"answer\": \"a boy took his horse\"\n },\n {\n \"question_id\": \"3338\",\n \"answer\": \"led it round by the side of the house.\"\n },\n {\n \"question_id\": \"3339\",\n \"answer\": \"have a look at the place he has gone into;\"\n },\n {\n \"question_id\": \"3340\",\n \"answer\": \"midnight\"\n },\n {\n \"question_id\": \"3341\",\n \"answer\": \"hire a horse.\"\n },\n {\n \"question_id\": \"3342\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3343\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"3344\",\n \"answer\": \"Harry,\"\n },\n {\n \"question_id\": \"3345\",\n \"answer\": \"watch until he starts\"\n },\n {\n \"question_id\": \"3346\",\n \"answer\": \"follow him,\"\n },\n {\n \"question_id\": \"3347\",\n \"answer\": \"at the beginning of the houses,\"\n },\n {\n \"question_id\": \"3348\",\n \"answer\": \"Barnet\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n My name is Clyde. I am am a cat. I have had a life full of adventure. I started out as a small kitten living in a house. I lived with my human family. I also lived with my mother and brothers and sisters. There were some other animals there too. They were not cats but they were not humans. I am not sure what they were but they were big and friendly. \n\nI left his house and moved into different house. I had to leave my family. There were new humans now. They took me in this thing they called a car. It scared me! Everything was moving so fast. There was another one of those different animals. I think the humans called it a dog. His name was Rex. The humans were very nice to me but the dog was not. He would chase me around the house. I would have to hide under the couch or in some other small space. I heard the humans talk about taking me some place else to live. Next thing I know I am in the car again. I am living in another house. Uh oh! This house has a dog and other humans. This dog, who they call Sophie, was very nice to me. She smelled me and licked me like my mother used to do! We became close friends. I liked this new house. The humans were nice to me too. They had two small humans. Their names were Thomas and Nicole. I liked them because they like to play with me a lot. \n\nOne day a big truck came to the house and the humans put me in a room and closed the door. I was in there for a long time. When I came out all the human stuff was not there. They had put it all into the truck. I was scared again that I would have to go with new humans. This time, the humans took me with them! We moved to a new apartment in the city. I knew that these were not my humans. They loved me. They were my new family.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61028\": \"What is his name?\"\n },\n {\n \"61029\": \"What is he?\"\n },\n {\n \"61030\": \"What does he have?\"\n },\n {\n \"61031\": \"How did he start out?\"\n },\n {\n \"61032\": \"living where?\"\n },\n {\n \"61033\": \"with who?\"\n },\n {\n \"61034\": \"and who else?\"\n },\n {\n \"61035\": \"Anyone else?\"\n },\n {\n \"61036\": \"What were they?\"\n },\n {\n \"61037\": \"Were they nice?\"\n },\n {\n \"61038\": \"Did he stay there?\"\n },\n {\n \"61039\": \"Where did he go?\"\n },\n {\n \"61040\": \"with who?\"\n },\n {\n \"61041\": \"What did they take him in?\"\n },\n {\n \"61042\": \"Did he like it?\"\n },\n {\n \"61043\": \"why?\"\n },\n {\n \"61044\": \"Who else lived there?\"\n },\n {\n \"61045\": \"What was his name?\"\n },\n {\n \"61046\": \"Was he nice?\"\n },\n {\n \"61047\": \"What did he do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61028\",\n \"answer\": \"Clyde\"\n },\n {\n \"question_id\": \"61029\",\n \"answer\": \"a cat\"\n },\n {\n \"question_id\": \"61030\",\n \"answer\": \"a life full of adventure.\"\n },\n {\n \"question_id\": \"61031\",\n \"answer\": \"t as a small kitten\"\n },\n {\n \"question_id\": \"61032\",\n \"answer\": \"a house.\"\n },\n {\n \"question_id\": \"61033\",\n \"answer\": \"human family\"\n },\n {\n \"question_id\": \"61034\",\n \"answer\": \"his mother and brothers and sisters\"\n },\n {\n \"question_id\": \"61035\",\n \"answer\": \"other animals\"\n },\n {\n \"question_id\": \"61036\",\n \"answer\": \"he does not know\"\n },\n {\n \"question_id\": \"61037\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61038\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61039\",\n \"answer\": \"a different house\"\n },\n {\n \"question_id\": \"61040\",\n \"answer\": \"new humans\"\n },\n {\n \"question_id\": \"61041\",\n \"answer\": \"a car\"\n },\n {\n \"question_id\": \"61042\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61043\",\n \"answer\": \"Everything was moving so fast\"\n },\n {\n \"question_id\": \"61044\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"61045\",\n \"answer\": \"Rex\"\n },\n {\n \"question_id\": \"61046\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"61047\",\n \"answer\": \"chase him\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Ikenna Nzeribe was the sole survivor after assassins from Boko Haram stormed his Nigerian church in 2012, just 60 miles from where the jihadists last month abducted more than 200 girls. \n\nThe church massacre remains vivid for Nzeribe three years later -- as are the scars on his face, neck and arm. \n\nThe Muslim extremists fired shots into the air and shouted \"Allah Hu Akbar,\" or God is great. \n\nNzeribe and 13 other Christians hit the floor. \n\nThey were mourning how Boko Haram earlier had killed three fellow Christians, but now Boko Haram was coming for them. \n\nThe masked gunmen shot the 13 worshippers in the head, fatally. \n\nNow it was Nzeribe's turn. \n\n\"As soon as I saw the man, I knew it was over for me,\" Nzeribe, 33, said about the gunman. \"The only thing I could do was say a last prayer, which was 'Blood of Jesus cover me.' \n\n\"And that was it for me,\" he told CNN. \n\nNzeribe, a handsome banker, was shot in the face with an AK-47 assault rifle, blowing away his jaw, lips and part of his tongue. \n\nHe faked death -- \"until they finished,\" he said. \n\nHe bled profusely. \n\n\"I would say I died in the process,\" Nzeribe added. \"But God brought me back to life.\" \n\nRescuers took him to a local hospital in Mubi, a suburban area in northeastern Nigeria where he was part of a Christian minority and where the mass shooting in church occurred. \n\nHe was later flown to London, where surgeons reconstructed his face. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77779\": \"where was Nzeribe shot?\"\n },\n {\n \"77780\": \"with what type of weapon?\"\n },\n {\n \"77781\": \"did he survive?\"\n },\n {\n \"77782\": \"was he the only one that survived?\"\n },\n {\n \"77783\": \"how old is Nzeribe?\"\n },\n {\n \"77784\": \"how many people died in the attack?\"\n },\n {\n \"77785\": \"who was responsible for the attack?\"\n },\n {\n \"77786\": \"where did this take place?\"\n },\n {\n \"77787\": \"in what country?\"\n },\n {\n \"77788\": \"what did Nzeribe do after he was shot?\"\n },\n {\n \"77789\": \"did he bleed a lot?\"\n },\n {\n \"77790\": \"where was he taken?\"\n },\n {\n \"77791\": \"is that in an urban area?\"\n },\n {\n \"77792\": \"is it part of a secular region?\"\n },\n {\n \"77793\": \"where did he have scars?\"\n },\n {\n \"77794\": \"what did surgeons reconstruct?\"\n },\n {\n \"77795\": \"where did he have the surgery?\"\n },\n {\n \"77796\": \"did he say he died in the process of the attack?\"\n },\n {\n \"77797\": \"what prayer did he utter before he was shot?\"\n },\n {\n \"77798\": \"who interviewed him?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77779\",\n \"answer\": \"in the face\"\n },\n {\n \"question_id\": \"77780\",\n \"answer\": \"AK-47\"\n },\n {\n \"question_id\": \"77781\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77782\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77783\",\n \"answer\": \"33\"\n },\n {\n \"question_id\": \"77784\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"77785\",\n \"answer\": \"Bolo Haram\"\n },\n {\n \"question_id\": \"77786\",\n \"answer\": \"church\"\n },\n {\n \"question_id\": \"77787\",\n \"answer\": \"Nigeria\"\n },\n {\n \"question_id\": \"77788\",\n \"answer\": \"He faked death\"\n },\n {\n \"question_id\": \"77789\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77790\",\n \"answer\": \"local hospital\"\n },\n {\n \"question_id\": \"77791\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77792\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77793\",\n \"answer\": \"face, neck and arm\"\n },\n {\n \"question_id\": \"77794\",\n \"answer\": \"his face\"\n },\n {\n \"question_id\": \"77795\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"77796\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77797\",\n \"answer\": \"Blood of Jesus cover me\"\n },\n {\n \"question_id\": \"77798\",\n \"answer\": \"CNN.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The German shepherd runs off and noses around in the grass of Kenya's Laikipia Plateau. \"OK, Oakley,\" the dog's handler orders, \"Find it!\" \n\nOakley sniffs until he comes to a bush, then stops, sits, and looks up at his handler. She bends to see what he has found: the waste of an endangered African wild dog. \"Good dog!\" she praises. The handler pulls a tennis ball from her pocket. Oakley jumps for his reward. \n\n\"He doesn't actually want the waste,\" says Aimee Hurt, a founding member of the U.S.-based group Working Dogs for Conservation. Hurt is in Kenya to train both Oakley and his handler. \"He finds it so he can play with his ball. We're the ones who want the waste.\" \n\nDetection dogs are sometimes taught to locate actual animals. Black-footed ferrets have been studied with their help. But more often the dogs learn to locate the waste of creatures such as bears, wolves and mountain lions. \n\nWhat the dogs find provides scientists with data about a species. Scientists can use the DNA collected from animal waste to identify individuals, sex, and population sizes -- all without ever seeing the animal itself. \"It can take years to gather this kind of information if you have to trap animals,\" Hurt explains. \n\nWaste analysis might make a huge difference when wild species are accused of attacking domestic livestock . Hurt says, \"A good detection dog will find the waste so we can see what the animal is actually eating.\" This may help reduce problems between people and wildlife.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77965\": \"Detection dogs are sometimes taught to locate what?\"\n },\n {\n \"77966\": \"what do they normally locate?\"\n },\n {\n \"77967\": \"what do the scientits want it for\"\n },\n {\n \"77968\": \"is there DNA\"\n },\n {\n \"77969\": \"what can it identify?\"\n },\n {\n \"77970\": \"how long would it normally take to gather this info?\"\n },\n {\n \"77971\": \"What kind of dog is Oakley?\"\n },\n {\n \"77972\": \"What's his handler's name?\"\n },\n {\n \"77973\": \"What did he find?\"\n },\n {\n \"77974\": \"What did she give him ?\"\n },\n {\n \"77975\": \"does he want the waste?\"\n },\n {\n \"77976\": \"what did Aimee co-found?\"\n },\n {\n \"77977\": \"where is she?\"\n },\n {\n \"77978\": \"doing?\"\n },\n {\n \"77979\": \"who si she training?\"\n },\n {\n \"77980\": \"and?\"\n },\n {\n \"77981\": \"how does waste analysis help investigate domestic livestock attacks?\"\n },\n {\n \"77982\": \"will that reduce problems?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77965\",\n \"answer\": \"actual animals\"\n },\n {\n \"question_id\": \"77966\",\n \"answer\": \"the waste of creatures such as bears, wolves and mountain lions.\"\n },\n {\n \"question_id\": \"77967\",\n \"answer\": \"data about a species\"\n },\n {\n \"question_id\": \"77968\",\n \"answer\": \"Scientists can use the DNA collected from animal waste\"\n },\n {\n \"question_id\": \"77969\",\n \"answer\": \"identify individuals, sex, and population sizes\"\n },\n {\n \"question_id\": \"77970\",\n \"answer\": \"\\\"It can take years to gather this kind of information if you have to trap animals,\"\n },\n {\n \"question_id\": \"77971\",\n \"answer\": \"German shepherd\"\n },\n {\n \"question_id\": \"77972\",\n \"answer\": \"Aimee Hurt\"\n },\n {\n \"question_id\": \"77973\",\n \"answer\": \"the waste of an endangered African wild dog.\"\n },\n {\n \"question_id\": \"77974\",\n \"answer\": \"tennis ball\"\n },\n {\n \"question_id\": \"77975\",\n \"answer\": \"He doesn't actually want the waste\"\n },\n {\n \"question_id\": \"77976\",\n \"answer\": \"the U.S.-based group Working Dogs for Conservation\"\n },\n {\n \"question_id\": \"77977\",\n \"answer\": \"Hurt is in Kenya\"\n },\n {\n \"question_id\": \"77978\",\n \"answer\": \"Waste analysis\"\n },\n {\n \"question_id\": \"77979\",\n \"answer\": \"Oakley\"\n },\n {\n \"question_id\": \"77980\",\n \"answer\": \"The German shepherd\"\n },\n {\n \"question_id\": \"77981\",\n \"answer\": \"\\\"A good detection dog will find the waste so we can see what the animal is actually eating\"\n },\n {\n \"question_id\": \"77982\",\n \"answer\": \"This may help reduce problems between people and wildlife.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n ESPN (originally an acronym for Entertainment and Sports Programming Network) is a U.S.-based global cable and satellite sports television channel owned by ESPN Inc., a joint venture between The Walt Disney Company (which operates the network) and the Hearst Corporation (which owns a 20% minority share) The company was founded in 1979 by Bill Rasmussen along with his brother Scott and Ed Egan. \n\nESPN broadcasts primarily from studio facilities located in Bristol, Connecticut. The network also operates offices in Miami, New York City, Seattle, Charlotte, and Los Angeles. John Skipper currently serves as president of ESPN, a position he has held since January 1, 2012. While ESPN is one of the most successful sports networks, there has been much criticism of ESPN, which includes accusations of biased coverage, conflict of interest, and controversies with individual broadcasters and analysts. , ESPN is available to approximately 94,396,000 paid television households (81.1% of households with at least one television set) in the United States. Nielsen has reported a much lower number in 2017, below 90,000,000 subscribers, losing more than 10,000 a day. In addition to the flagship channel and its seven related channels in the United States, ESPN broadcasts in more than 200 countries, operating regional channels in Australia, Brazil, Latin America and the United Kingdom, and owning a 20% interest in The Sports Network (TSN) as well as its five sister networks in Canada.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"75808\": \"What station is this about?\"\n },\n {\n \"75809\": \"Where does it mainly run from?\"\n },\n {\n \"75810\": \"Anywhere else?\"\n },\n {\n \"75811\": \"How many other places?\"\n },\n {\n \"75812\": \"And they are?\"\n },\n {\n \"75813\": \"Is the name an anagram?\"\n },\n {\n \"75814\": \"What does it stand for?\"\n },\n {\n \"75815\": \"How many companies own it?\"\n },\n {\n \"75816\": \"Between whom?\"\n },\n {\n \"75817\": \"Who controls the least?\"\n },\n {\n \"75818\": \"Does the station have a sparkling reputation?\"\n },\n {\n \"75819\": \"What are the problems?\"\n },\n {\n \"75820\": \"Anything else?\"\n },\n {\n \"75821\": \"How many homes can use it?\"\n },\n {\n \"75822\": \"Does it keep growing quickly?\"\n },\n {\n \"75823\": \"Is it in more than one country?\"\n },\n {\n \"75824\": \"How many?\"\n },\n {\n \"75825\": \"When was it created?\"\n },\n {\n \"75826\": \"By how many people?\"\n },\n {\n \"75827\": \"And they are?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"75808\",\n \"answer\": \"ESPN\"\n },\n {\n \"question_id\": \"75809\",\n \"answer\": \"Bristol\"\n },\n {\n \"question_id\": \"75810\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75811\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"75812\",\n \"answer\": \"Miami, New York City, Seattle, Charlotte, and Los Angeles\"\n },\n {\n \"question_id\": \"75813\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75814\",\n \"answer\": \"Entertainment and Sports Programming Network\"\n },\n {\n \"question_id\": \"75815\",\n \"answer\": \"one joint venture\"\n },\n {\n \"question_id\": \"75816\",\n \"answer\": \"The Walt Disney Company and the Hearst Corporation\"\n },\n {\n \"question_id\": \"75817\",\n \"answer\": \"Hearst Corporation\"\n },\n {\n \"question_id\": \"75818\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75819\",\n \"answer\": \"accusations of biased coverage\"\n },\n {\n \"question_id\": \"75820\",\n \"answer\": \"conflict of interest\"\n },\n {\n \"question_id\": \"75821\",\n \"answer\": \"approximately 94,396,000\"\n },\n {\n \"question_id\": \"75822\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"75823\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"75824\",\n \"answer\": \"more than 200 countries\"\n },\n {\n \"question_id\": \"75825\",\n \"answer\": \"1979\"\n },\n {\n \"question_id\": \"75826\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"75827\",\n \"answer\": \"Bill Rasmussen along with his brother Scott and Ed Egan\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Started in 1636, Harvard University is the oldest of all the colleges and universities in the United States. Yale, Princeton, Columbia and Dartmouth were opened soon after Harvard. In the early years, these schools were nearly the same. Only young men went to college. All the students studied the same subjects, and everyone learned Latin and Greek. Little was known about science. And few people knew that one kind of school could teach everything that was known about the world. When the students graduated, most of them became ministers or teachers. In 1782, Harvard started a medical school for young men who wanted to become doctors. Later, lawyers could study in Harvard's law school. In 1825, besides Latin and Greek, Harvard began to teach modern languages, such as French and German. Soon it began to teach American history. As knowledge increased, Harvard and other colleges began to teach many new subjects. Students were allowed to choose the subjects that interested them. Today, there are many different kinds of colleges and universities. Most of them are made up of smaller schools that deal with special fields of learning. There's so much to learn that one kind of school can't offer all.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64799\": \"what ancient languages did everyone used to learn?\"\n },\n {\n \"64800\": \"was much known about science?\"\n },\n {\n \"64801\": \"when did they start teaching modern languages at Harvard?\"\n },\n {\n \"64802\": \"what year was Harvard founded?\"\n },\n {\n \"64803\": \"what other schools opened soon after?\"\n },\n {\n \"64804\": \"which is the oldest of all them?\"\n },\n {\n \"64805\": \"what did most people become when they had graduated?\"\n },\n {\n \"64806\": \"what year did Harvard start teaching medicine?\"\n },\n {\n \"64807\": \"what modern languages did they start to teach?\"\n },\n {\n \"64808\": \"in the past, who went to college?\"\n },\n {\n \"64809\": \"besides medicine, what other subjects were offered?\"\n },\n {\n \"64810\": \"did they also teach history?\"\n },\n {\n \"64811\": \"Today, modern colleges are mostly made up of what?\"\n },\n {\n \"64812\": \"are they specialized?\"\n },\n {\n \"64813\": \"can one school offer everything?\"\n },\n {\n \"64814\": \"how similar were Harvard, Yale and Princeton when they opened?\"\n },\n {\n \"64815\": \"did everyone study the same subject?\"\n },\n {\n \"64816\": \"could one school teach everything back then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"64799\",\n \"answer\": \"Latin and Greek\"\n },\n {\n \"question_id\": \"64800\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64801\",\n \"answer\": \"In 1782\"\n },\n {\n \"question_id\": \"64802\",\n \"answer\": \"1636\"\n },\n {\n \"question_id\": \"64803\",\n \"answer\": \"Yale, Princeton, Columbia and Dartmouth\"\n },\n {\n \"question_id\": \"64804\",\n \"answer\": \"Harvard\"\n },\n {\n \"question_id\": \"64805\",\n \"answer\": \"ministers or teachers\"\n },\n {\n \"question_id\": \"64806\",\n \"answer\": \"1782\"\n },\n {\n \"question_id\": \"64807\",\n \"answer\": \"French and German\"\n },\n {\n \"question_id\": \"64808\",\n \"answer\": \"Only young men\"\n },\n {\n \"question_id\": \"64809\",\n \"answer\": \"law school\"\n },\n {\n \"question_id\": \"64810\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64811\",\n \"answer\": \"smaller schools\"\n },\n {\n \"question_id\": \"64812\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64813\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"64814\",\n \"answer\": \"nearly the same\"\n },\n {\n \"question_id\": \"64815\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"64816\",\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 10 \n\nThe Swede \n\nAs the warriors, clustered thick about Tarzan and Sheeta, realized that it was a flesh-and-blood panther that had interrupted their dance of death, they took heart a trifle, for in the face of all those circling spears even the mighty Sheeta would be doomed. \n\nRokoff was urging the chief to have his spearmen launch their missiles, and the black was upon the instant of issuing the command, when his eyes strayed beyond Tarzan, following the gaze of the ape-man. \n\nWith a yell of terror the chief turned and fled toward the village gate, and as his people looked to see the cause of his fright, they too took to their heels--for there, lumbering down upon them, their huge forms exaggerated by the play of moonlight and camp fire, came the hideous apes of Akut. \n\nThe instant the natives turned to flee the ape-man's savage cry rang out above the shrieks of the blacks, and in answer to it Sheeta and the apes leaped growling after the fugitives. Some of the warriors turned to battle with their enraged antagonists, but before the fiendish ferocity of the fierce beasts they went down to bloody death. \n\nOthers were dragged down in their flight, and it was not until the village was empty and the last of the blacks had disappeared into the bush that Tarzan was able to recall his savage pack to his side. Then it was that he discovered to his chagrin that he could not make one of them, not even the comparatively intelligent Akut, understand that he wished to be freed from the bonds that held him to the stake. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7769\": \"Who was Rokoff urging?\"\n },\n {\n \"7770\": \"What did the warriors realize?\"\n },\n {\n \"7771\": \"What kind of yell made the chief flee?\"\n },\n {\n \"7772\": \"Where did the chief head towards?\"\n },\n {\n \"7773\": \"What did they see in the moonlight?\"\n },\n {\n \"7774\": \"What was he not able to make anyone understand?\"\n },\n {\n \"7775\": \"Was Akut smart?\"\n },\n {\n \"7776\": \"When was Tarzan able to call his pack to his side?\"\n },\n {\n \"7777\": \"Who leaped after the fugitives?\"\n },\n {\n \"7778\": \"Did the beasts die?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7769\",\n \"answer\": \"the chief to have his spearmen launch their missiles\"\n },\n {\n \"question_id\": \"7770\",\n \"answer\": \"that it was a flesh-and-blood panther that had interrupted their dance of death\"\n },\n {\n \"question_id\": \"7771\",\n \"answer\": \"the ape-man's savage cry\"\n },\n {\n \"question_id\": \"7772\",\n \"answer\": \"the village gate\"\n },\n {\n \"question_id\": \"7773\",\n \"answer\": \"the hideous apes of Akut.\"\n },\n {\n \"question_id\": \"7774\",\n \"answer\": \"that he wished to be freed from the bonds that held him to the stake\"\n },\n {\n \"question_id\": \"7775\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7776\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"7777\",\n \"answer\": \"Sheeta and the apes\"\n },\n {\n \"question_id\": \"7778\",\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 Information and Communications Technology (ICT) is an extended term for information communication technology (ICT) which stresses the role of unified communications and the integration of telecommunications (telephone lines and wireless signals), computers as well as necessary enterprise software, middleware, storage, and audio-visual systems, which enable users to access, store, transmit, and manipulate information. \n\nThe term \"ICT\" is also used to refer to the convergence of audio-visual and telephone networks with computer networks through a single cabling or link system. There are large economic incentives (huge cost savings due to elimination of the telephone network) to merge the telephone network with the computer network system using a single unified system of cabling, signal distribution and management. \n\nHowever, ICT has no universal definition, as \"the concepts, methods and applications involved in ICT are constantly evolving on an almost daily basis.\" The broadness of ICT covers any product that will store, retrieve, manipulate, transmit or receive information electronically in a digital form, e.g. personal computers, digital television, email, robots. For clarity, Zuppo provided an ICT hierarchy where all levels of the hierarchy \"contain some degree of commonality in that they are related to technologies that facilitate the transfer of information and various types of electronically mediated communications\". Skills Framework for the Information Age is one of many models for describing and managing competencies for ICT professionals for the 21st century.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34645\": \"What does ICT stand for?\"\n },\n {\n \"34646\": \"Does it have one definition that covers everything?\"\n },\n {\n \"34647\": \"Why not?\"\n },\n {\n \"34648\": \"What does ICT stress, as an extended term?\"\n },\n {\n \"34649\": \"And what else?\"\n },\n {\n \"34650\": \"What things are included in that integration?\"\n },\n {\n \"34651\": \"How does that relate to users?\"\n },\n {\n \"34652\": \"What else can ICT refer to?\"\n },\n {\n \"34653\": \"Is there something else involved with that convergence?\"\n },\n {\n \"34654\": \"What?\"\n },\n {\n \"34655\": \"What kind of incentives apply to this convergence?\"\n },\n {\n \"34656\": \"What is an example of that?\"\n },\n {\n \"34657\": \"How quickly do the variables of ICT change?\"\n },\n {\n \"34658\": \"What sorts of things does the broad description of ICT pertain to?\"\n },\n {\n \"34659\": \"Like what?\"\n },\n {\n \"34660\": \"Any other example?\"\n },\n {\n \"34661\": \"What?\"\n },\n {\n \"34662\": \"What did Zuppo provide?\"\n },\n {\n \"34663\": \"Did all levels have something in common?\"\n },\n {\n \"34664\": \"Related to what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34645\",\n \"answer\": \"Information and Communications Technology\"\n },\n {\n \"question_id\": \"34646\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"34647\",\n \"answer\": \"The concepts, methods and applications are constantly evolving.\"\n },\n {\n \"question_id\": \"34648\",\n \"answer\": \"The role of unified communications.\"\n },\n {\n \"question_id\": \"34649\",\n \"answer\": \"Unified communications and the integration of telecommunications.\"\n },\n {\n \"question_id\": \"34650\",\n \"answer\": \"Computers and necessary enterprise software,\"\n },\n {\n \"question_id\": \"34651\",\n \"answer\": \"Allows them to get to, store, send, and change information.\"\n },\n {\n \"question_id\": \"34652\",\n \"answer\": \"Convergence of audio-visual and telephone networks with computer networks.\"\n },\n {\n \"question_id\": \"34653\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"34654\",\n \"answer\": \"It's through a single cabling or link system.\"\n },\n {\n \"question_id\": \"34655\",\n \"answer\": \"Economic.\"\n },\n {\n \"question_id\": \"34656\",\n \"answer\": \"Cost savings due to no telephone network.\"\n },\n {\n \"question_id\": \"34657\",\n \"answer\": \"Almost daily basis.\"\n },\n {\n \"question_id\": \"34658\",\n \"answer\": \"Any product that will involve information in a digital form.\"\n },\n {\n \"question_id\": \"34659\",\n \"answer\": \"Personal computers.\"\n },\n {\n \"question_id\": \"34660\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"34661\",\n \"answer\": \"Digital television.\"\n },\n {\n \"question_id\": \"34662\",\n \"answer\": \"An ICT hierarchy.\"\n },\n {\n \"question_id\": \"34663\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"34664\",\n \"answer\": \"Technologies that facilitate the transfer of information.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When Pat Jones finished college, she decided to travel around the world and see as many foreign places as she could while she was young. Pat wanted to visit Latin America first, so she got a job as an English teacher in a school in Bolivia. Pat spoke a little Spanish, so she was able to communicate with her students even when they didn't know much English. \n\nOnce, A sentence she had read somewhere struck her mind: if you dream in a foreign language, you have really mastered it. Pat repeated this sentence to her students and hoped that some day she would dream in Spanish and they would dream in English. \n\nOne day, one of her worst students came up and explained in Spanish that he had not done his homework. He had gone to bed early and had slept badly. \n\n\"What does this have to do with your homework?\" Pat asked. \n\n\"I dreamed all night, Miss Jones. And my dream was in English.\" \n\n\"In English?\" Pat was very surprised, since he was such a bad student. She was even secretly jealous . Her dream was still not in Spanish. But she encouraged her young student, \"Well, tell me about your dream.\" \n\n\"All the people in my dream spoke English. All the newspapers and magazines and all the TV programs were in English.\" \n\n\"But that's wonderful,\" said Pat. \"What did all the people say to you?\" \n\n\"I am sorry, Miss Jones. That's why I slept so badly. I didn't understand a word they said. It was a nightmare \".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98417\": \"Where was she helping kids learn English?\"\n },\n {\n \"98418\": \"What had she done before going there?\"\n },\n {\n \"98419\": \"Was she from Bolivia?\"\n },\n {\n \"98420\": \"Why did she go there?\"\n },\n {\n \"98421\": \"Was she fluent in their language?\"\n },\n {\n \"98422\": \"Where did she want to go before she went anywhere else?\"\n },\n {\n \"98423\": \"What did she want to master?\"\n },\n {\n \"98424\": \"How would she know if she had?\"\n },\n {\n \"98425\": \"Who did she tell this to?\"\n },\n {\n \"98426\": \"Why did she tell them this?\"\n },\n {\n \"98427\": \"Who approached her?\"\n },\n {\n \"98428\": \"Why did he do this?\"\n },\n {\n \"98429\": \"Why not?\"\n },\n {\n \"98430\": \"As a result what didn't he have?\"\n },\n {\n \"98431\": \"Was his sleep sound?\"\n },\n {\n \"98432\": \"Why was she jealous?\"\n },\n {\n \"98433\": \"What was in English in his dream?\"\n },\n {\n \"98434\": \"Such as?\"\n },\n {\n \"98435\": \"Did he enjoy this?\"\n },\n {\n \"98436\": \"Why not?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98417\",\n \"answer\": \"Bolivia\"\n },\n {\n \"question_id\": \"98418\",\n \"answer\": \"college\"\n },\n {\n \"question_id\": \"98419\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98420\",\n \"answer\": \"to teach English\"\n },\n {\n \"question_id\": \"98421\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98422\",\n \"answer\": \"Latin America\"\n },\n {\n \"question_id\": \"98423\",\n \"answer\": \"Spanish\"\n },\n {\n \"question_id\": \"98424\",\n \"answer\": \"If her dreams were in Spaish\"\n },\n {\n \"question_id\": \"98425\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"98426\",\n \"answer\": \"she hoped they would dream in English\"\n },\n {\n \"question_id\": \"98427\",\n \"answer\": \"one of her worst students\"\n },\n {\n \"question_id\": \"98428\",\n \"answer\": \"he had not done his homework\"\n },\n {\n \"question_id\": \"98429\",\n \"answer\": \"He went to bed early\"\n },\n {\n \"question_id\": \"98430\",\n \"answer\": \"his homework\"\n },\n {\n \"question_id\": \"98431\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98432\",\n \"answer\": \"she still dreamed in English\"\n },\n {\n \"question_id\": \"98433\",\n \"answer\": \"everything\"\n },\n {\n \"question_id\": \"98434\",\n \"answer\": \"newspapers, magazines and TV programs\"\n },\n {\n \"question_id\": \"98435\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98436\",\n \"answer\": \"he didn't understand them\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Anne was a young girl who lived with her grandma. She went to school every day with her favorite red ribbons in her hair. They were red with black stripes. Although Anne loved to wear her ribbons in her hair she saw that not many of the other students would wear ribbons in their hair, making her feel very out of place. So on a cold day Anne took the ribbons out of her hair and put her favorite headband on. Millisa was Ann's best friend; they shared everything with each other and trusted each other very much. Millisa asked Ann,\"Dear friend, why are you wearing a headband today\"? \n\nAnne with a sad face said, \" I don't want to look different from everybody else.\" \n\nMillisa being the best friend Anne had ever had hugged her dear friend and whispered in her ear, \"It's OK to be different and not like everybody else. Why some of us are short, some of us are tall, some of us have dark hair, and some of us have light hair. There is often some of us who even have red ribbons with stripes on them. Everybody is their own person, never be afraid to be who you are.\" Anne hugged her friend and placed her red ribbons back in her hair.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85157\": \"Who was Anne's best friend?\"\n },\n {\n \"85158\": \"Where did Anne live?\"\n },\n {\n \"85159\": \"What did Anne wear to school?\"\n },\n {\n \"85160\": \"What color were they?\"\n },\n {\n \"85161\": \"Did she match the other students?\"\n },\n {\n \"85162\": \"Was she proud to be different?\"\n },\n {\n \"85163\": \"Who noticed she wasn't wearing a headband?\"\n },\n {\n \"85164\": \"Did Milissa yell at Anne?\"\n },\n {\n \"85165\": \"What advice did Milissa give her?\"\n },\n {\n \"85166\": \"Did Anne take the advice to heart?\"\n },\n {\n \"85167\": \"What was the weather like when Anne took the ribbons out of her hair?\"\n },\n {\n \"85168\": \"How often did she wear ribbons in her hair?\"\n },\n {\n \"85169\": \"Did Anne trust Milissa?\"\n },\n {\n \"85170\": \"Did Milissa trust Anne?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85157\",\n \"answer\": \"Millisa\"\n },\n {\n \"question_id\": \"85158\",\n \"answer\": \"with her grandma\"\n },\n {\n \"question_id\": \"85159\",\n \"answer\": \"ribbons\"\n },\n {\n \"question_id\": \"85160\",\n \"answer\": \"red with black stripes\"\n },\n {\n \"question_id\": \"85161\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85162\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85163\",\n \"answer\": \"Millisa asked Ann,\\\"Dear friend, why are you wearing a headband today\\\"?\"\n },\n {\n \"question_id\": \"85164\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85165\",\n \"answer\": \"\\\"Everybody is their own person, never be afraid to be who you are.\\\"\"\n },\n {\n \"question_id\": \"85166\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85167\",\n \"answer\": \"cold\"\n },\n {\n \"question_id\": \"85168\",\n \"answer\": \"every day\"\n },\n {\n \"question_id\": \"85169\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85170\",\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 (Rolling Stone) -- On July 25th, 1965, Bob Dylan walked onstage at the Newport Folk Festival, plugged in his 1964 sunburst Fender Stratocaster and tore through a scorching three-song set. It was a crucial turning point in his career, and it quickly became rock & roll legend -- the moment when Dylan transformed from a protest folkie to a rebel genius. But the guitar Dylan played on that mythic afternoon went missing for the next 47 years -- until recently, when a team of PBS researchers told New Jersey resident Dawn Peterson that she had it in her home. \n\nPeterson's late father, Victor Quinto, was a private pilot who worked for Dylan's manager, Albert Grossman, in the mid-1960s. \"After one flight, my father saw there were three guitars left on the plane,\" she says. He contacted the company a few times about picking the guitars up, but nobody ever got back to him.\" \n\nLast fall, Peterson asked PBS's History Detectives to help verify her find. The 1964 Stratocaster came with 13 pages of typed and handwritten song lyrics tucked inside its guitar case -- but host Wes Cowan was skeptical at first. \"It's so important, historically and culturally, that I couldn't have imagined Bob Dylan would have just left it on an airplane,\" he says. \n\nIn fact, Dylan says that's not what happened. \"Bob has possession of the electric guitar he played at the Newport Folk Festival in 1965,\" his attorney, Orin Snyder, said in a statement. \"He did own several other Stratocaster guitars that were stolen from him around that time, as were some handwritten lyrics.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1223\": \"What brand of guitar was Dylan playing\"\n },\n {\n \"1224\": \"Where did he play?\"\n },\n {\n \"1225\": \"how long was his show\"\n },\n {\n \"1226\": \"what year was it?\"\n },\n {\n \"1227\": \"where is the famous guitar now?\"\n },\n {\n \"1228\": \"What was found with the other guitars?\"\n },\n {\n \"1229\": \"How did Quinto get the guitars\"\n },\n {\n \"1230\": \"Who was Victor Quinto?\"\n },\n {\n \"1231\": \"who was he contracted through?\"\n },\n {\n \"1232\": \"Who did Dawn contact about verifying the guitars authenticity\"\n },\n {\n \"1233\": \"What did PBS have to do with it?\"\n },\n {\n \"1234\": \"were they successful\"\n },\n {\n \"1235\": \"what brand of guitars were stolen\"\n },\n {\n \"1236\": \"was the manager contacted about the guitars left on the plane?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1223\",\n \"answer\": \"sunburst Fender Stratocaster\"\n },\n {\n \"question_id\": \"1224\",\n \"answer\": \"Newport Folk Festival,\"\n },\n {\n \"question_id\": \"1225\",\n \"answer\": \"three-song set\"\n },\n {\n \"question_id\": \"1226\",\n \"answer\": \"1965\"\n },\n {\n \"question_id\": \"1227\",\n \"answer\": \"\\\"Bob has possession\"\n },\n {\n \"question_id\": \"1228\",\n \"answer\": \"handwritten song lyrics\"\n },\n {\n \"question_id\": \"1229\",\n \"answer\": \"three guitars left on the plane\"\n },\n {\n \"question_id\": \"1230\",\n \"answer\": \"private pilot\"\n },\n {\n \"question_id\": \"1231\",\n \"answer\": \"worked for Dylan's manager, Albert\"\n },\n {\n \"question_id\": \"1232\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"1233\",\n \"answer\": \"help verify her find\"\n },\n {\n \"question_id\": \"1234\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"1235\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"1236\",\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 VIII. \n\nNEW QUARTERS. \n\nUntil nearly daylight the boys remained awake, laughing over Newcombe's credulity, or congratulating each other on the success of that night's work, and then Bob, who for half an hour had been studying some plan, said: \n\n\"It isn't best for us to spend all our time laughing at Newcombe, or we may find out that he's smarter than we give him credit of being. If we expect to shoot any more wells in this vicinity, we must change our quarters, for we can safely count on this being watched.\" \n\n\"What if it is?\" cried Dick, their success having made him very bold. \"Wasn't it watched to-night, and didn't we shoot the Hoxie well in spite of them all?\" \n\n\"Yes, we fooled Newcombe well; but we might find it difficult to do so the second time. Then again, all our work would not be as convenient to the hut as this was, and if it had been necessary for us to get our horses out, you must admit that Newcombe had us very foul.\" \n\nAnd Bob, while he felt thoroughly elated by their victory, did not want that his partners should come to believe that all difficulties could be surmounted as readily. \n\n\"But what do you mean about changing our quarters?\" asked Jim, who looked upon their hut as something particularly convenient and well located. \n\n\"I mean that we have got to build another shanty somewhere, if we can't find one ready-made.\" \n\n\"Nonsense! there's no more use of our leaving this place than there is of our trying to fly!\" said Dick. \"I ain't afraid that Newcombe will come here again very soon.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1887\": \"How long did the boys stay up?\"\n },\n {\n \"1888\": \"Doing what?\"\n },\n {\n \"1889\": \"what was funny?\"\n },\n {\n \"1890\": \"What else were they doing?\"\n },\n {\n \"1891\": \"For what?\"\n },\n {\n \"1892\": \"Did Bob approve?\"\n },\n {\n \"1893\": \"What had he been doing?\"\n },\n {\n \"1894\": \"Who did Bob defend?\"\n },\n {\n \"1895\": \"What did he say they must do?\"\n },\n {\n \"1896\": \"For what purpose?\"\n },\n {\n \"1897\": \"Who objected?\"\n },\n {\n \"1898\": \"How was he feeling?\"\n },\n {\n \"1899\": \"Was Bob confident in a second time?\"\n },\n {\n \"1900\": \"What would have changed the outcome according to Bob?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1887\",\n \"answer\": \"Until nearly daylight\"\n },\n {\n \"question_id\": \"1888\",\n \"answer\": \"Laughing\"\n },\n {\n \"question_id\": \"1889\",\n \"answer\": \"Newcombe's credulity\"\n },\n {\n \"question_id\": \"1890\",\n \"answer\": \"Congratulating each other\"\n },\n {\n \"question_id\": \"1891\",\n \"answer\": \"On the success of that night's work\"\n },\n {\n \"question_id\": \"1892\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1893\",\n \"answer\": \"Studying some plan\"\n },\n {\n \"question_id\": \"1894\",\n \"answer\": \"Newcombe\"\n },\n {\n \"question_id\": \"1895\",\n \"answer\": \"Change their quarters\"\n },\n {\n \"question_id\": \"1896\",\n \"answer\": \"In order to shoot more wells\"\n },\n {\n \"question_id\": \"1897\",\n \"answer\": \"Dick\"\n },\n {\n \"question_id\": \"1898\",\n \"answer\": \"Bold\"\n },\n {\n \"question_id\": \"1899\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"1900\",\n \"answer\": \"That is partners might believe all difficulties could be as readily surmounted\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Glasgow Rangers won their 53rd Scottish title and ninth under manager Walter Smith as a 1-0 win over Hibernian on Sunday gave them an unassailable points advantage over city rivals Celtic. \n\nKyle Lafferty scored his third goal in four games to secure the three points for Rangers, who were the defending champions. \n\nEarlier, Celtic beat Dundee United 2-0 with Senegalese striker Diomansy Kamara and Robbie Keane, with a last-minute penalty, scoring the goals. \n\nIt was their fifth straight league win under interim manager Neil Lennon, but Rangers' title triumph was a formality which was confirmed later at Easter Road. \n\nLafferty was on target after 17 minutes as Kenny Miller set him on his way to score with an angled drive. \n\nSmith, who won his first seven Scottish titles with Rangers in his first spell at the club, savored the latest victory which has come against the backdrop of financial worries and uncertainty over the future ownership of the famous club. \n\n\"You always feel grateful for the fact that you've won a trophy and you are in this position, as Rangers teams are a lot of the time,\" he told gathered reporters. \n\nIn Bundesliga action on Sunday, Europa League semifinalists Hamburg were thrashed 5-1 at Hoffenheim. \n\nStrikers Chinedu Obasi and Vedad Ibisevic both scored twice for the hosts in the rout which followed Hamburg's goalless draw with Fulham in the first leg of their last four Europa clash on Thursday and ahead of next week's return. \n\nIn Spain's La Liga, Valencia kept their third grip on third place with a 1-0 win over Deportivo la Coruna as David Villa scored a first half penalty. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19642\": \"Who was defending their title?\"\n },\n {\n \"19643\": \"How earned them three points?\"\n },\n {\n \"19644\": \"How many times have the gotten the Scottish title?\"\n },\n {\n \"19645\": \"Who is their manager?\"\n },\n {\n \"19646\": \"Who did the beat on Sunday?\"\n },\n {\n \"19647\": \"What was the score?\"\n },\n {\n \"19648\": \"Who does Kamara play for?\"\n },\n {\n \"19649\": \"What is his position?\"\n },\n {\n \"19650\": \"Who did they beat with a score of 2-0?\"\n },\n {\n \"19651\": \"Who is their manager?\"\n },\n {\n \"19652\": \"Is that his permanent job?\"\n },\n {\n \"19653\": \"Who did Hamburg face?\"\n },\n {\n \"19654\": \"Did they win?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"19642\",\n \"answer\": \"Rangers\"\n },\n {\n \"question_id\": \"19643\",\n \"answer\": \"Kyle Lafferty\"\n },\n {\n \"question_id\": \"19644\",\n \"answer\": \"53\"\n },\n {\n \"question_id\": \"19645\",\n \"answer\": \"Walter Smith\"\n },\n {\n \"question_id\": \"19646\",\n \"answer\": \"Hibernian\"\n },\n {\n \"question_id\": \"19647\",\n \"answer\": \"1-0\"\n },\n {\n \"question_id\": \"19648\",\n \"answer\": \"Celtic\"\n },\n {\n \"question_id\": \"19649\",\n \"answer\": \"striker\"\n },\n {\n \"question_id\": \"19650\",\n \"answer\": \"Dundee United\"\n },\n {\n \"question_id\": \"19651\",\n \"answer\": \"Neil Lennon\"\n },\n {\n \"question_id\": \"19652\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19653\",\n \"answer\": \"Hoffenheim\"\n },\n {\n \"question_id\": \"19654\",\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 Harry had a very small farm. He only had one cow but dreamed about having a large farm. He once asked his father Bill, \"I'd like to have that land over there. How can I get it?\" His father encouraged him to go and talk to the landowner to see how they could get the land. Harry said. \"But we don't have enough money.\" His father said, \"Don't worry. Go and talk to him.\" Several years passed. Harry had not only the land, but also several hundred cows. He had a happy life with his wife. Later, Harry's wife, Sarah, had a dream. \"I want to build the biggest farm in the world.\" She said. They called their friend Manuel about this task. Three days later Manuel had a plan for the whole project. Then they asked, \"How much will it cost?\" Manuel said they needed a lot of money. \"Nobody will lend us so much money to build a farm,\" they thought. But the manager of the bank _ them and their dream. A few months later, La manuel, the biggest farm in the world, was opened.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1794\": \"Who was the friend?\"\n },\n {\n \"1795\": \"What was he called about?\"\n },\n {\n \"1796\": \"How long did it take to create a plan?\"\n },\n {\n \"1797\": \"Who was the farmer?\"\n },\n {\n \"1798\": \"Was he married?\"\n },\n {\n \"1799\": \"Her name?\"\n },\n {\n \"1800\": \"Does she have a father-in-law?\"\n },\n {\n \"1801\": \"And his name?\"\n },\n {\n \"1802\": \"How many animals did they have at first?\"\n },\n {\n \"1803\": \"How many cattle did they eventually have?\"\n },\n {\n \"1804\": \"How long did it take?\"\n },\n {\n \"1805\": \"What was Harry's dream?\"\n },\n {\n \"1806\": \"What size was it to begin with?\"\n },\n {\n \"1807\": \"What did his dad advise?\"\n },\n {\n \"1808\": \"What was his excuse for not talking?\"\n },\n {\n \"1809\": \"What was the follow-up advise?\"\n },\n {\n \"1810\": \"What was the state of their marriage?\"\n },\n {\n \"1811\": \"Who was telephoned?\"\n },\n {\n \"1812\": \"What was necessary to succeed?\"\n },\n {\n \"1813\": \"Did they receive it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1794\",\n \"answer\": \"Manuel\"\n },\n {\n \"question_id\": \"1795\",\n \"answer\": \"Sarah wanted to build the biggest farm in the world\"\n },\n {\n \"question_id\": \"1796\",\n \"answer\": \"Three days\"\n },\n {\n \"question_id\": \"1797\",\n \"answer\": \"Harry\"\n },\n {\n \"question_id\": \"1798\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1799\",\n \"answer\": \"Sarah\"\n },\n {\n \"question_id\": \"1800\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1801\",\n \"answer\": \"Bill\"\n },\n {\n \"question_id\": \"1802\",\n \"answer\": \"one cow\"\n },\n {\n \"question_id\": \"1803\",\n \"answer\": \"several hundred\"\n },\n {\n \"question_id\": \"1804\",\n \"answer\": \"Several years\"\n },\n {\n \"question_id\": \"1805\",\n \"answer\": \"he dreamed about having a large farm\"\n },\n {\n \"question_id\": \"1806\",\n \"answer\": \"very small\"\n },\n {\n \"question_id\": \"1807\",\n \"answer\": \"to go and talk to the landowner\"\n },\n {\n \"question_id\": \"1808\",\n \"answer\": \"he didn't have enough money.\"\n },\n {\n \"question_id\": \"1809\",\n \"answer\": \"Don't worry\"\n },\n {\n \"question_id\": \"1810\",\n \"answer\": \"happy\"\n },\n {\n \"question_id\": \"1811\",\n \"answer\": \"their friend Manuel\"\n },\n {\n \"question_id\": \"1812\",\n \"answer\": \"a lot of money\"\n },\n {\n \"question_id\": \"1813\",\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 Nokia Bell Labs (formerly named AT&T Bell Laboratories, Bell Telephone Laboratories and Bell Labs) is an American research and scientific development company, owned by Finnish company Nokia. Its headquarters are located in Murray Hill, New Jersey, in addition to other laboratories around the rest of the United States and in other countries. \n\nThe historic laboratory originated in the late 19th century as the Volta Laboratory and Bureau created by Alexander Graham Bell. Bell Labs was also at one time a division of the American Telephone & Telegraph Company (AT&T Corporation), half-owned through its Western Electric manufacturing subsidiary. \n\nResearchers working at Bell Labs are credited with the development of radio astronomy, the transistor, the laser, the charge-coupled device (CCD), information theory, the operating systems Unix, Plan 9, Inferno, and the programming languages C, C++, and S. Eight Nobel Prizes have been awarded for work completed at Bell Laboratories. \n\nIn 1880, the French government awarded Alexander Graham Bell the Volta Prize of 50,000 francs, approximately US$10,000 at that time (about $ in current dollars) for the invention of the telephone. Bell used the award to fund the Volta Laboratory (\"Alexander Graham Bell Laboratory\") in Washington, D.C., in collaboration with Sumner Tainter and Bell's cousin Chichester Bell. The laboratory is also variously known as the \"Volta Bureau\", the \"Bell Carriage House\", the \"Bell Laboratory\" and the \"Volta Laboratory\". The laboratory focused on the analysis, recording, and transmission of sound. Bell used his considerable profits from the laboratory for further research and education to permit the \"[increased] diffusion of knowledge relating to the deaf\". This resulted in the founding of the Volta Bureau c. 1887, located at Bell's father's house at 1527 35th Street in Washington, D.C., where its carriage house became their headquarters in 1889. In 1893, Bell constructed a new building, close by at 1537 35th St., specifically to house the lab. The building was declared a National Historic Landmark in 1972.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17341\": \"Who owns Nokia Bell Labs?\"\n },\n {\n \"17342\": \"Where is Nokia's headquarters?\"\n },\n {\n \"17343\": \"What town?\"\n },\n {\n \"17344\": \"When did the lab begin?\"\n },\n {\n \"17345\": \"Who was the creator?\"\n },\n {\n \"17346\": \"What are researchers credited with?\"\n },\n {\n \"17347\": \"Have they won the Nobel Price?\"\n },\n {\n \"17348\": \"How many?\"\n },\n {\n \"17349\": \"What prize did Bell win in 1880?\"\n },\n {\n \"17350\": \"How many francs was that?\"\n },\n {\n \"17351\": \"How many dollars?\"\n },\n {\n \"17352\": \"What did he do to earn the prize?\"\n },\n {\n \"17353\": \"What did he use the money for?\"\n },\n {\n \"17354\": \"where was that?\"\n },\n {\n \"17355\": \"Who did he collaborate with?\"\n },\n {\n \"17356\": \"What was its focus?\"\n },\n {\n \"17357\": \"What did he use the profits for?\"\n },\n {\n \"17358\": \"Where was his dad's house?\"\n },\n {\n \"17359\": \"in what town?\"\n },\n {\n \"17360\": \"What did the carriage house become?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"17341\",\n \"answer\": \"Nokia\"\n },\n {\n \"question_id\": \"17342\",\n \"answer\": \"New Jersey\"\n },\n {\n \"question_id\": \"17343\",\n \"answer\": \"Murray Hill\"\n },\n {\n \"question_id\": \"17344\",\n \"answer\": \"late 19th century\"\n },\n {\n \"question_id\": \"17345\",\n \"answer\": \"Alexander Graham Bell\"\n },\n {\n \"question_id\": \"17346\",\n \"answer\": \"development of radio astronomy and many other things\"\n },\n {\n \"question_id\": \"17347\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17348\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"17349\",\n \"answer\": \"Volta Prize\"\n },\n {\n \"question_id\": \"17350\",\n \"answer\": \"50,000 francs\"\n },\n {\n \"question_id\": \"17351\",\n \"answer\": \"$10,000\"\n },\n {\n \"question_id\": \"17352\",\n \"answer\": \"invention of the telephone\"\n },\n {\n \"question_id\": \"17353\",\n \"answer\": \"fund the Volta Laboratory\"\n },\n {\n \"question_id\": \"17354\",\n \"answer\": \"Washington, D.C\"\n },\n {\n \"question_id\": \"17355\",\n \"answer\": \"Sumner Tainter and Bell's cousin Chichester Bell.\"\n },\n {\n \"question_id\": \"17356\",\n \"answer\": \"the analysis, recording, and transmission of sound.\"\n },\n {\n \"question_id\": \"17357\",\n \"answer\": \"further research and education to permit the \\\"[increased] diffusion of knowledge relating to the deaf\\\"\"\n },\n {\n \"question_id\": \"17358\",\n \"answer\": \"1527 35th Street\"\n },\n {\n \"question_id\": \"17359\",\n \"answer\": \"Washington, D.C\"\n },\n {\n \"question_id\": \"17360\",\n \"answer\": \"headquarters\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nGAVINIA ON THE TRACK \n\nCorp, you remember, had said that he would go to the stake rather than break his promise; and he meant it, too, though what the stake was, and why such a pother about going to it, he did not know. He was to learn now, however, for to the stake he had to go. This was because Gavinia, when folding up his clothes, found in one of the pockets a glove wrapped in silk paper. \n\nTommy had forgotten it until too late, for when he asked Corp for the glove it was already in Gavinia's possession, and she had declined to return it without an explanation. \"You must tell her nothing,\" Tommy said sternly. He was uneasy, but relieved to find that Corp did not know whose glove it was, nor even why gentlemen carry a lady's glove in their pocket. \n\nAt first Gavinia was mildly curious only, but her husband's refusal to answer any questions roused her dander. She tried cajolery, fried his take of trout deliciously for him, and he sat down to them sniffing. They were small, and the remainder of their brief career was in two parts. First he lifted them by the tail, then he laid down the tail. But not a word about the glove. \n\nShe tried tears. \"Dinna greet, woman,\" he said in distress. \"What would the bairn say if he kent I made you greet?\" \n\nGavinia went on greeting, and the baby, waking up, promptly took her side. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98488\": \"What was Gavinia frying?\"\n },\n {\n \"98489\": \"Were they big?\"\n },\n {\n \"98490\": \"Who found the glove?\"\n },\n {\n \"98491\": \"What was she doing when she found it?\"\n },\n {\n \"98492\": \"Did she give it back?\"\n },\n {\n \"98493\": \"What was it wrapped in?\"\n },\n {\n \"98494\": \"Who said he'd rather go to the stake than break his promise?\"\n },\n {\n \"98495\": \"Was anyone crying?\"\n },\n {\n \"98496\": \"Who?\"\n },\n {\n \"98497\": \"Was the glove in a purse?\"\n },\n {\n \"98498\": \"What was it in?\"\n },\n {\n \"98499\": \"Do we know whose glove it was?\"\n },\n {\n \"98500\": \"Who was waking up?\"\n },\n {\n \"98501\": \"Did they baby cry too?\"\n },\n {\n \"98502\": \"Who said not to say anything to Gavinia?\"\n },\n {\n \"98503\": \"What got lifted by the tail?\"\n },\n {\n \"98504\": \"Was anyone relieved?\"\n },\n {\n \"98505\": \"About what?\"\n },\n {\n \"98506\": \"Why was Gavinia upset with her husband?\"\n },\n {\n \"98507\": \"What was the baby's name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98488\",\n \"answer\": \"trout\"\n },\n {\n \"question_id\": \"98489\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98490\",\n \"answer\": \"Gavinia\"\n },\n {\n \"question_id\": \"98491\",\n \"answer\": \"folding up his clothes\"\n },\n {\n \"question_id\": \"98492\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98493\",\n \"answer\": \"silk paper\"\n },\n {\n \"question_id\": \"98494\",\n \"answer\": \"Corp\"\n },\n {\n \"question_id\": \"98495\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98496\",\n \"answer\": \"Gavinia\"\n },\n {\n \"question_id\": \"98497\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98498\",\n \"answer\": \"a pocket\"\n },\n {\n \"question_id\": \"98499\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"98500\",\n \"answer\": \"the baby\"\n },\n {\n \"question_id\": \"98501\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98502\",\n \"answer\": \"Tommy\"\n },\n {\n \"question_id\": \"98503\",\n \"answer\": \"the trout\"\n },\n {\n \"question_id\": \"98504\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98505\",\n \"answer\": \"that Corp did not know whose glove it was\"\n },\n {\n \"question_id\": \"98506\",\n \"answer\": \"his refusal to answer any questions\"\n },\n {\n \"question_id\": \"98507\",\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 XXV \n\nBLACKY CALLS ON REDDY FOX \n\nSaying what you mean, and meaning what you say Are matters quite as different as night is from the day. \n\n_Bowser the Hound._ \n\nBlacky the Crow wasted no time with Old Man Coyote after he heard Old Man Coyote laugh. There was a note in that crazy laugh of Old Man Coyote's that told Blacky he might just as well talk to the rocks or the trees about helping Bowser the Hound. Old Man Coyote had led Bowser into his trouble, and it was quite clear that not only did he have no regrets, but he was actually glad that Bowser was not likely to return. \n\n\"You're a hard-hearted old sinner,\" declared Blacky, as he prepared to fly in search of Reddy Fox. \n\nOld Man Coyote grinned. \"It is every one for himself, you know,\" said he. \"Bowser would do his best to catch me if he had the chance. So if he is in trouble, he can stay there for all of me.\" \n\nIt didn't take Blacky long to find Reddy Fox. You see, it was so early in the morning that Reddy had not retired for his daily nap. Like Old Man Coyote, he was just returning from a night's hunt when Blacky arrived. \n\n\"Hello, Reddy!\" exclaimed Blacky. \"You certainly are looking in mighty fine condition. That red coat of yours is the handsomest coat I've ever seen. If I had a coat like that I know I should be so swelled up with pride that I just wouldn't be able to see common folks. I'm glad you're not that way, Reddy. One of the things I like about you is the fact that you never allow your fine coat to make you proud. That is more than I can say for some folks I know.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82678\": \"What's the name of the bird?\"\n },\n {\n \"82679\": \"and what did he say to the old man Coyote?\"\n },\n {\n \"82680\": \"What was the response?\"\n },\n {\n \"82681\": \"And where did he want the dog to do?\"\n },\n {\n \"82682\": \"sorry about that! What was the dog's name?\"\n },\n {\n \"82683\": \"Is it likely that he will come back?\"\n },\n {\n \"82684\": \"who was the bird going for from up above?\"\n },\n {\n \"82685\": \"Time started closing in on me sorry about that one! Was the wolf young or elderly?\"\n },\n {\n \"82686\": \"Yes! Did the bird finally get to his friend after searching above?\"\n },\n {\n \"82687\": \"was his friend already asleep?\"\n },\n {\n \"82688\": \"why not?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82678\",\n \"answer\": \"Blacky the Crow\"\n },\n {\n \"question_id\": \"82679\",\n \"answer\": \"You're a hard-hearted old sinner\"\n },\n {\n \"question_id\": \"82680\",\n \"answer\": \"It is every one for himself, you know\"\n },\n {\n \"question_id\": \"82681\",\n \"answer\": \"Stay there\"\n },\n {\n \"question_id\": \"82682\",\n \"answer\": \"Bowser\"\n },\n {\n \"question_id\": \"82683\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82684\",\n \"answer\": \"He was searching for Reddy Fox.\"\n },\n {\n \"question_id\": \"82685\",\n \"answer\": \"Old if you mean the Coyote\"\n },\n {\n \"question_id\": \"82686\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82687\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82688\",\n \"answer\": \"It was too early\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII \n\nACROSS THE ROOF OF THE WORLD \n\nClaire dressed Dlorus, cooked a dinner of beet greens, potatoes, and trout; and by bullying and great sweetness kept Dlorus from too many trips to the gin bottle. Milt caught the trout, cut wood, locked in a log shed Pinky's forlorn mining-tools. They started for North Yakima at eight of the evening, with Dlorus, back in the spare seat, alternately sobbing and to inattentive ears announcing what she'd say to the Old Hens. \n\nMilt was devoted to persuading the huge cat of a car to tiptoe down the slippery gouged ruts of the road, and Claire's mind was driving with him. Every time he touched the foot-brake, she could feel the strain in the tendons of her own ankle. \n\nA mile down the main road they stopped at a store-post-office to telephone back to Mr. Boltwood and Dr. Beach. On the porch was a man in overalls and laced boots. He was lean and quick-moving. As he raised his head, and his spectacles flashed, Claire caught Milt's arm and gasped, \"Oh, my dear, I'm in a beautiful state of nerves. For a moment I thought that was Jeff Saxton. I bet it is his astral body!\" \n\n\"And you thought he was going to forbid your running away on this fool expedition, and you were scared,\" chuckled Milt, as they sat in the car. \n\n\"Of course I was! And I still am! I know what he'll say afterward! He _is_ here, reasoning with me. Oughtn't I to be sensible? Oughtn't I to have you leave me at the Beaches' before you start--jolly jaunt to take a strange woman to her presumably homicidal husband! Why am I totally lacking in sense? Just listen to what Jeff is saying!\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48811\": \"Milt was devoted to what ?\"\n },\n {\n \"48812\": \"what ?\"\n },\n {\n \"48813\": \"who dressed somone ?\"\n },\n {\n \"48814\": \"who did she dress ?\"\n },\n {\n \"48815\": \"how many corces she make for dinner ?\"\n },\n {\n \"48816\": \"name one\"\n },\n {\n \"48817\": \"Who liked gin ?\"\n },\n {\n \"48818\": \"how did she keep her from it ?\"\n },\n {\n \"48819\": \"anything else ?\"\n },\n {\n \"48820\": \"where were they going ?\"\n },\n {\n \"48821\": \"when ?\"\n },\n {\n \"48822\": \"at night ?\"\n },\n {\n \"48823\": \"when ?\"\n },\n {\n \"48824\": \"where sis they stop ?\"\n },\n {\n \"48825\": \"why ?\"\n },\n {\n \"48826\": \"call who ?\"\n },\n {\n \"48827\": \"anyone else ?\"\n },\n {\n \"48828\": \"what happened when he hit the breaks ?\"\n },\n {\n \"48829\": \"strain where ?\"\n },\n {\n \"48830\": \"of what ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"48811\",\n \"answer\": \"persuading\"\n },\n {\n \"question_id\": \"48812\",\n \"answer\": \"huge cat\"\n },\n {\n \"question_id\": \"48813\",\n \"answer\": \"Claire\"\n },\n {\n \"question_id\": \"48814\",\n \"answer\": \"Dlorus\"\n },\n {\n \"question_id\": \"48815\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"48816\",\n \"answer\": \"beet greens\"\n },\n {\n \"question_id\": \"48817\",\n \"answer\": \"Dlorus\"\n },\n {\n \"question_id\": \"48818\",\n \"answer\": \"bullying\"\n },\n {\n \"question_id\": \"48819\",\n \"answer\": \"reat sweetness\"\n },\n {\n \"question_id\": \"48820\",\n \"answer\": \"North Yakima\"\n },\n {\n \"question_id\": \"48821\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"48822\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48823\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"48824\",\n \"answer\": \"store-post-office\"\n },\n {\n \"question_id\": \"48825\",\n \"answer\": \"to telephone\"\n },\n {\n \"question_id\": \"48826\",\n \"answer\": \"Mr. Boltwood\"\n },\n {\n \"question_id\": \"48827\",\n \"answer\": \"Dr. Beach\"\n },\n {\n \"question_id\": \"48828\",\n \"answer\": \"she could feel the strain\"\n },\n {\n \"question_id\": \"48829\",\n \"answer\": \"tendons\"\n },\n {\n \"question_id\": \"48830\",\n \"answer\": \"ankle\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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's a fine day. The White family get up at seven o'clock. They have breakfast at seven forty. And then they go to the park. They take a basket of food and a carpet . The park is not far from their home, so they ride bikes there. Then they get to the park, it's half past eight. Mr. and Mrs. White are talking with each other. Their son, ted, is playing with a ball. Their daughter, Jenny, is taking photos. After about an hour, Ted and Jenny sit down to relax. At that time, they see a _ eating a pine nut in a big tree. When they see the squirrel eating, they feel hungry . They go to help their parents take the food out of the basket. Ted has a hamburger. Hamburgers are his favorite food. Jenny has an apple. Mr. and Mrs. White have some bread. They have a great time in the park.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74519\": \"Which family went to the park?\"\n },\n {\n \"74520\": \"What is the son's name?\"\n },\n {\n \"74521\": \"and the daughter's?\"\n },\n {\n \"74522\": \"When did the family wake up?\"\n },\n {\n \"74523\": \"When did they eat breakfast?\"\n },\n {\n \"74524\": \"What did they have?\"\n },\n {\n \"74525\": \"Where did they go next?\"\n },\n {\n \"74526\": \"Did they take anything with them?\"\n },\n {\n \"74527\": \"How did they get there?\"\n },\n {\n \"74528\": \"Was it closeby?\"\n },\n {\n \"74529\": \"When did they arrive?\"\n },\n {\n \"74530\": \"Who was taking photos?\"\n },\n {\n \"74531\": \"What was Ted doing?\"\n },\n {\n \"74532\": \"Which animal did they see eating?\"\n },\n {\n \"74533\": \"Who had an apple for lunch?\"\n },\n {\n \"74534\": \"What did Ted have?\"\n },\n {\n \"74535\": \"What about the parents?\"\n },\n {\n \"74536\": \"and the squirrel?\"\n },\n {\n \"74537\": \"How long did the kids play before breaking for lunch?\"\n },\n {\n \"74538\": \"Where was the food stored when they played?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"74519\",\n \"answer\": \"The White family\"\n },\n {\n \"question_id\": \"74520\",\n \"answer\": \"Ted\"\n },\n {\n \"question_id\": \"74521\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"74522\",\n \"answer\": \"seven o'clock\"\n },\n {\n \"question_id\": \"74523\",\n \"answer\": \"seven forty\"\n },\n {\n \"question_id\": \"74524\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"74525\",\n \"answer\": \"to the park\"\n },\n {\n \"question_id\": \"74526\",\n \"answer\": \"a basket of food and a carpet\"\n },\n {\n \"question_id\": \"74527\",\n \"answer\": \"they ride bikes there\"\n },\n {\n \"question_id\": \"74528\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74529\",\n \"answer\": \"half past eight\"\n },\n {\n \"question_id\": \"74530\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"74531\",\n \"answer\": \"playing with a ball\"\n },\n {\n \"question_id\": \"74532\",\n \"answer\": \"squirrel\"\n },\n {\n \"question_id\": \"74533\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"74534\",\n \"answer\": \"a hamburger\"\n },\n {\n \"question_id\": \"74535\",\n \"answer\": \"They have some bread.\"\n },\n {\n \"question_id\": \"74536\",\n \"answer\": \"a pine nut\"\n },\n {\n \"question_id\": \"74537\",\n \"answer\": \"about an hour\"\n },\n {\n \"question_id\": \"74538\",\n \"answer\": \"in the basket\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXII—A WARNING \n\nIn the luxuriously appointed smoking-room of the hotel Clay leaned forward in the deep leather chair into which he had dropped and looked keenly at Osborne. \n\n“Tell me how you are interested in this fellow Farquhar,” he demanded. \n\n“I don’t know that I am much interested,” Osborne replied. “He was of some service to us during our voyage from Japan, and seemed a smart young fellow. It merely struck me that I might give him a lift up in return for one or two small favors.” \n\n“Let him drop! Didn’t it strike you that your daughter might have her own views about him? The man’s good-looking.” \n\nOsborne flung up his head, and his eyes narrowed. \n\n“I can’t discuss—” \n\n“It has to be discussed,” Clay interrupted. “You can’t have that man at your house: he’s one of the fellows who were working at the wreck.” \n\n“Ah! That makes a difference, of course. I suppose you have been on their trail, but you have told me nothing about it yet.” \n\n“I had a suspicion that you didn’t want to know. You’re a fastidious fellow, you know, and I suspected that you’d rather leave a mean job of that kind to me.” \n\n“You’re right,” Osborne admitted. “I’m sure you would handle it better than I could; but I’m curious to hear what you’ve done.” \n\n“I’ve gone as far as seems advisable. Had the fellows fired from several jobs and made it difficult for them to get another; but it wouldn’t pay to have my agents guess what I’m after.” Clay laughed. “Farquhar and his partners are either bolder or smarter than I thought; I found them taking my own money at the Clanch Mill.” \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85712\": \"are people having a conversation?\"\n },\n {\n \"85713\": \"where?\"\n },\n {\n \"85714\": \"is the room sparse?\"\n },\n {\n \"85715\": \"what building is the room in?\"\n },\n {\n \"85716\": \"named?\"\n },\n {\n \"85717\": \"who is conversing?\"\n },\n {\n \"85718\": \"what is the subject?\"\n },\n {\n \"85719\": \"did he take something?\"\n },\n {\n \"85720\": \"what?\"\n },\n {\n \"85721\": \"from who?\"\n },\n {\n \"85722\": \"where?\"\n },\n {\n \"85723\": \"what country is mentioned?\"\n },\n {\n \"85724\": \"did someone go there?\"\n },\n {\n \"85725\": \"who?\"\n },\n {\n \"85726\": \"did someone one help him on this trip?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"85712\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85713\",\n \"answer\": \"In the smoking-room\"\n },\n {\n \"question_id\": \"85714\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85715\",\n \"answer\": \"the hotel\"\n },\n {\n \"question_id\": \"85716\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"85717\",\n \"answer\": \"Clay and Osborne\"\n },\n {\n \"question_id\": \"85718\",\n \"answer\": \"Farquhar\"\n },\n {\n \"question_id\": \"85719\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85720\",\n \"answer\": \"money\"\n },\n {\n \"question_id\": \"85721\",\n \"answer\": \"Clay\"\n },\n {\n \"question_id\": \"85722\",\n \"answer\": \"at the Clanch Mill.\"\n },\n {\n \"question_id\": \"85723\",\n \"answer\": \"Japan\"\n },\n {\n \"question_id\": \"85724\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85725\",\n \"answer\": \"Osborne\"\n },\n {\n \"question_id\": \"85726\",\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 LXXI. Fiat Justitia \n\nThe dinner was served when Arthur returned, and Lady Rockminster began to scold him for arriving late. But Laura, looking at her cousin, saw that his face was so pale and scared, that she interrupted her imperious patroness; and asked, with tender alarm, what had happened? Was Arthur ill? \n\nArthur drank a large bumper of sherry. \"I have heard the most extraordinary news; I will tell you afterwards,\" he said, looking at the servants. He was very nervous and agitated during the dinner. \"Don't tramp and beat so with your feet under the table,\" Lady Rockminster said. \"You have trodden on Fido, and upset his saucer. You see Mr. Warrington keeps his boots quiet.\" \n\nAt the dessert--it seemed as if the unlucky dinner would never be over--Lady Rockminster said, \"This dinner has been exceedingly stupid. I suppose something has happened, and that you want to speak to Laura. I will go and have my nap. I am not sure that I shall have any tea--no. Good night, Mr. Warrington. You must come again, and when there is no business to talk about.\" And the old lady, tossing up her head, walked away from the room with great dignity. \n\nGeorge and the others had risen with her, and Warrington was about to go away, and was saying \"Good night\" to Laura, who, of course, was looking much alarmed about her cousin, when Arthur said, \"Pray, stay, George. You should hear my news too, and give me your counsel in this case. I hardly know how to act in it.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17315\": \"Who returned as dinner was served?\"\n },\n {\n \"17316\": \"Who was upset at him?\"\n },\n {\n \"17317\": \"Was he okay?\"\n },\n {\n \"17318\": \"How did he appear?\"\n },\n {\n \"17319\": \"What did Arthur do before he began talking?\"\n },\n {\n \"17320\": \"How much?\"\n },\n {\n \"17321\": \"What does he say he needs to tell them?\"\n },\n {\n \"17322\": \"Who does he really want to talk to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"17315\",\n \"answer\": \"Arthur\"\n },\n {\n \"question_id\": \"17316\",\n \"answer\": \"Lady Rockminster.\"\n },\n {\n \"question_id\": \"17317\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"17318\",\n \"answer\": \"Pale and scared\"\n },\n {\n \"question_id\": \"17319\",\n \"answer\": \"Drank some sherry\"\n },\n {\n \"question_id\": \"17320\",\n \"answer\": \"A large bumper full\"\n },\n {\n \"question_id\": \"17321\",\n \"answer\": \"Extraordinary news\"\n },\n {\n \"question_id\": \"17322\",\n \"answer\": \"Laura\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XVIII \n\nI \n\nTHOUGH he saw them twice daily, though he knew and amply discussed every detail of their expenditures, yet for weeks together Babbitt was no more conscious of his children than of the buttons on his coat-sleeves. \n\nThe admiration of Kenneth Escott made him aware of Verona. \n\nShe had become secretary to Mr. Gruensberg of the Gruensberg Leather Company; she did her work with the thoroughness of a mind which reveres details and never quite understands them; but she was one of the people who give an agitating impression of being on the point of doing something desperate--of leaving a job or a husband--without ever doing it. Babbitt was so hopeful about Escott's hesitant ardors that he became the playful parent. When he returned from the Elks he peered coyly into the living-room and gurgled, \"Has our Kenny been here to-night?\" He never credited Verona's protest, \"Why, Ken and I are just good friends, and we only talk about Ideas. I won't have all this sentimental nonsense, that would spoil everything.\" \n\nIt was Ted who most worried Babbitt. \n\nWith conditions in Latin and English but with a triumphant record in manual training, basket-ball, and the organization of dances, Ted was struggling through his Senior year in the East Side High School. At home he was interested only when he was asked to trace some subtle ill in the ignition system of the car. He repeated to his tut-tutting father that he did not wish to go to college or law-school, and Babbitt was equally disturbed by this \"shiftlessness\" and by Ted's relations with Eunice Littlefield, next door. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70768\": \"How many children does Babbitt have?\"\n },\n {\n \"70769\": \"How often does he see them?\"\n },\n {\n \"70770\": \"Does he have a son?\"\n },\n {\n \"70771\": \"What is his name?\"\n },\n {\n \"70772\": \"How old is he?\"\n },\n {\n \"70773\": \"Is he an adult?\"\n },\n {\n \"70774\": \"Is he still in high school?\"\n },\n {\n \"70775\": \"Which year?\"\n },\n {\n \"70776\": \"Is he doing well?\"\n },\n {\n \"70777\": \"What does he like to work on?\"\n },\n {\n \"70778\": \"Is he good at basketball?\"\n },\n {\n \"70779\": \"Is he planning to continue school after high school?\"\n },\n {\n \"70780\": \"Who's his girlfriend?\"\n },\n {\n \"70781\": \"Does Babbitt have a daughter?\"\n },\n {\n \"70782\": \"What is her name?\"\n },\n {\n \"70783\": \"Is she an adult?\"\n },\n {\n \"70784\": \"Who does she work for?\"\n },\n {\n \"70785\": \"Who is her boss?\"\n },\n {\n \"70786\": \"What is her job?\"\n },\n {\n \"70787\": \"Who is her friend?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70768\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"70769\",\n \"answer\": \"twice daily\"\n },\n {\n \"question_id\": \"70770\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70771\",\n \"answer\": \"Ted\"\n },\n {\n \"question_id\": \"70772\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"70773\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70774\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70775\",\n \"answer\": \"Senior\"\n },\n {\n \"question_id\": \"70776\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70777\",\n \"answer\": \"cars\"\n },\n {\n \"question_id\": \"70778\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70779\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70780\",\n \"answer\": \"Eunice Littlefield\"\n },\n {\n \"question_id\": \"70781\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70782\",\n \"answer\": \"Verona\"\n },\n {\n \"question_id\": \"70783\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70784\",\n \"answer\": \"Gruensberg Leather Company\"\n },\n {\n \"question_id\": \"70785\",\n \"answer\": \"Mr. Gruensberg\"\n },\n {\n \"question_id\": \"70786\",\n \"answer\": \"secretary\"\n },\n {\n \"question_id\": \"70787\",\n \"answer\": \"Ken\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cyber language is popular among Chinese netizens, who create English words to reflect novel phenomenon in society. \n\n\"Gelivable\", combining pinyin of Chinese characters Geili (giving strength) with the English suffix for adjectives, literally means \"giving power\" or \"cool\". Similarly, \"Hengelivable\" means \"very cool\", and \"ungelivable\" means \"dull, not cool at al\". \"Antizen\" referred to the group of college graduates who, earning a poor salary and living in small rented apartments, are like the tiny and laborious ants. \n\nDavid Tool, a professor with the Beijing International Studies University said it's very interesting to combine Chinese with English to create new words. \"English is no longer mysterious to the Chinese people. They can use the language in a flexible way according to their own experiences,\" he said. Chinese words and expressions were created, as well, by netizens. One example was \"Suan Ni Hen\". This three-character expression, which originally meant \"you win\" with the first character carrying the same pronunciation as garlic in Chinese, is used to satirize high garlic and food prices this winter. \n\nChinese people use the character \"bei\" before a verb to show a passive voice, and it is used by netizens to show the helplessness in front of false conclusions and fake media reports. For instance, \"zisha\" means \"suicide\" while \"beizisha\" means \"be officially presumed to have committed suicide\", and xiaokang means \"fairly comfortable life\" while \"beixiaokang\" means \"be said to be living a fairly comfortable life\". \n\nWu Zhongmin, a professor at the Party School of the Central Committee of the Communist Party of China, saw the phenomenon of word creation as a natural response of young people to social issues. \"Cyber language is more vivid and it shortens people's distances,\" he said.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53782\": \"What professor works at Beijing International Studies University?\"\n },\n {\n \"53783\": \"Which word has 2 meaning?\"\n },\n {\n \"53784\": \"How many mean to kill one's self?\"\n },\n {\n \"53785\": \"Is the language still a mysterious\"\n },\n {\n \"53786\": \"How many dialogs are they putting together?\"\n },\n {\n \"53787\": \"Who creates Chines characters?\"\n },\n {\n \"53788\": \"Passive sounds that come out of you mouth\"\n },\n {\n \"53789\": \"What helps other communicate?\"\n },\n {\n \"53790\": \"What are like little tiny bug?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53782\",\n \"answer\": \"David Tool\"\n },\n {\n \"question_id\": \"53783\",\n \"answer\": \"Suan Ni Hen\"\n },\n {\n \"question_id\": \"53784\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"53785\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"53786\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"53787\",\n \"answer\": \"netizens\"\n },\n {\n \"question_id\": \"53788\",\n \"answer\": \"bei\"\n },\n {\n \"question_id\": \"53789\",\n \"answer\": \"cyber language\"\n },\n {\n \"question_id\": \"53790\",\n \"answer\": \"college graduates\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 IV \n\nTHE LITTLE MODEL \n\nWhen in the preceding autumn Bianca began her picture called \"The Shadow,\" nobody was more surprised than Hilary that she asked him to find her a model for the figure. Not knowing the nature of the picture, nor having been for many years--perhaps never--admitted into the workings of his wife's spirit, he said: \n\n\"Why don't you ask Thyme to sit for you?\" \n\nBlanca answered: \"She's not the type at all--too matter-of-fact. Besides, I don't want a lady; the figure's to be half draped.\" \n\nHilary smiled. \n\nBlanca knew quite well that he was smiling at this distinction between ladies and other women, and understood that he was smiling, not so much at her, but at himself, for secretly agreeing with the distinction she had made. \n\nAnd suddenly she smiled too. \n\nThere was the whole history of their married life in those two smiles. They meant so much: so many thousand hours of suppressed irritation, so many baffled longings and earnest efforts to bring their natures together. They were the supreme, quiet evidence of the divergence of two lives--that slow divergence which had been far from being wilful, and was the more hopeless in that it had been so gradual and so gentle. They had never really had a quarrel, having enlightened views of marriage; but they had smiled. They had smiled so often through so many years that no two people in the world could very well be further from each other. Their smiles had banned the revelation even to themselves of the tragedy of their wedded state. It is certain that neither could help those smiles, which were not intended to wound, but came on their faces as naturally as moonlight falls on water, out of their inimically constituted souls. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9282\": \"Who did Blanca not want to sit for her?\"\n },\n {\n \"9283\": \"Did she want someone fully clothed?\"\n },\n {\n \"9284\": \"Who was Hilary?\"\n },\n {\n \"9285\": \"What was Bianca's picture named?\"\n },\n {\n \"9286\": \"Who did she ask to get her a model?\"\n },\n {\n \"9287\": \"Why did he smile?\"\n },\n {\n \"9288\": \"Did Blanca smile as well?\"\n },\n {\n \"9289\": \"Did the couple ever argue?\"\n },\n {\n \"9290\": \"Did they smile alot?\"\n },\n {\n \"9291\": \"What did smiling do?\"\n },\n {\n \"9292\": \"When did Bianca start her picture?\"\n },\n {\n \"9293\": \"And who was surprised about being asked to help get the model?\"\n },\n {\n \"9294\": \"Did he know what the picture was about?\"\n },\n {\n \"9295\": \"Were the two newlyweds?\"\n },\n {\n \"9296\": \"Did Bianca want a lady for her picture?\"\n },\n {\n \"9297\": \"What did Hilary secretly agree with?\"\n },\n {\n \"9298\": \"Where was their whole married history?\"\n },\n {\n \"9299\": \"What had been gradual and gentle?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"9282\",\n \"answer\": \"Thyme\"\n },\n {\n \"question_id\": \"9283\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9284\",\n \"answer\": \"her husband\"\n },\n {\n \"question_id\": \"9285\",\n \"answer\": \"\\\"The Shadow\\\"\"\n },\n {\n \"question_id\": \"9286\",\n \"answer\": \"Hilary\"\n },\n {\n \"question_id\": \"9287\",\n \"answer\": \"at the distinction between ladies and other women\"\n },\n {\n \"question_id\": \"9288\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9289\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9290\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"9291\",\n \"answer\": \"suppressed irritation\"\n },\n {\n \"question_id\": \"9292\",\n \"answer\": \"autumn\"\n },\n {\n \"question_id\": \"9293\",\n \"answer\": \"Hilary\"\n },\n {\n \"question_id\": \"9294\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9295\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9296\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"9297\",\n \"answer\": \"the distinction between a lady and woman\"\n },\n {\n \"question_id\": \"9298\",\n \"answer\": \"in those two smiles\"\n },\n {\n \"question_id\": \"9299\",\n \"answer\": \"that slow divergence of their marriage\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n London (CNN) -- What do artificial whiskers and coffee-filled balloons have in common? \n\nThe answer is that they are both tools on experimental robots -- but they are also being put forward as possible ideas to help future planetary explorations. \n\n\"Shrewbot\" is the latest in a line of robots developed by teams at the UK's Bristol Robotics Laboratory (BRL) that aims to test whether artificial whiskers could help a robot find its way around. \n\nInspired by the Etruscan shrew -- one of the world's tiniest mammals -- scientists wanted to find out if a robot could explore its environment using touch instead of vision, just as rats, mice and shrews find food in the dark. \n\nTeam leader Martin Pearson, who works at the Biotact project, said the research was primarily to assist biologists in their understanding of how an animal's touch sensing works. \n\nBut he added: \"Future robotic applications for this kind of sensing could be in search-and-rescue robots operating in smoke filled buildings or for sub-sea pipeline inspection robots in the murky depths of the sea.\" \n\nThe idea has also been suggested as a way to explore planetary surfaces where there is limited vision. Speaking at a space conference at the UK's Rutherford Appleton Laboratory, robotics expert and co-founder of the BRL, Alan Winfield, identified it as one of a number of advancements that might be useful to space scientists planning future missions. \n\n\"I was speculating that whiskers could provide a planetary rover with the ability to feel its way around,\" he told CNN. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81682\": \"Which is a newer robot type?\"\n },\n {\n \"81683\": \"Developed by?\"\n },\n {\n \"81684\": \"A.k.a.?\"\n },\n {\n \"81685\": \"Name one tool of trial bots?\"\n },\n {\n \"81686\": \"Name another..\"\n },\n {\n \"81687\": \"What else may they some day do?\"\n },\n {\n \"81688\": \"Yes and what about in our galaxy?\"\n },\n {\n \"81689\": \"Why fake facial hair?\"\n },\n {\n \"81690\": \"What was the inspiration for BRL's bot?\"\n },\n {\n \"81691\": \"What's that?\"\n },\n {\n \"81692\": \"Who lead the research?\"\n },\n {\n \"81693\": \"Where does he work?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"81682\",\n \"answer\": \"Shrewbot\"\n },\n {\n \"question_id\": \"81683\",\n \"answer\": \"UK's Bristol Robotics Laboratory\"\n },\n {\n \"question_id\": \"81684\",\n \"answer\": \"BRL\"\n },\n {\n \"question_id\": \"81685\",\n \"answer\": \"artificial whiskers\"\n },\n {\n \"question_id\": \"81686\",\n \"answer\": \"coffee-filled balloons\"\n },\n {\n \"question_id\": \"81687\",\n \"answer\": \"search and rescue\"\n },\n {\n \"question_id\": \"81688\",\n \"answer\": \"Planetary rover\"\n },\n {\n \"question_id\": \"81689\",\n \"answer\": \"Gives it the ability to feel around\"\n },\n {\n \"question_id\": \"81690\",\n \"answer\": \"the Etruscan shrew\"\n },\n {\n \"question_id\": \"81691\",\n \"answer\": \"one of the tiniest mammals\"\n },\n {\n \"question_id\": \"81692\",\n \"answer\": \"Martin Pearson\"\n },\n {\n \"question_id\": \"81693\",\n \"answer\": \"the Biotact project\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Derek was sad. He was playing in the school yard at recess and a girl in his class was being mean to him. Her name was Sandy. Sandy was best friends with Alexis. Alexis was nice to Derek, but Sandy kept being mean. Sandy kicked dirt at Derek and called him mean names. Alexis felt bad that her friend was so nasty to Derek. Derek knew that Sandy did not like him, so he sat down in the school yard with a big frown. All of a sudden, a stranger walked up to Derek and asked him if he wanted some rock sugar candy. He told Derek he had lots of sugar rock candy in his car in the parking lot. Derek remembered his parents telling him never to talk to strangers, so he started running away from the man. Sandy and Alexis were on the jungle gym and they saw Derek running from the stranger. They went to tell their teacher, Mrs. Mustard, who was still inside the classroom. Sandy and Alexis came into the classroom screaming for help. Derek ran into the classroom right after the girls. Mrs. Mustard looked out into the recess yard, but the stranger was gone. Jenny, Mrs. Mustard's helper, called the police to report what had happened.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14981\": \"Who was being mean to Derek?\"\n },\n {\n \"14982\": \"What did she do?\"\n },\n {\n \"14983\": \"Did he stay by himself?\"\n },\n {\n \"14984\": \"What did he do for the rest of the break?\"\n },\n {\n \"14985\": \"Was he with anyone?\"\n },\n {\n \"14986\": \"Who?\"\n },\n {\n \"14987\": \"Was it a new friend?\"\n },\n {\n \"14988\": \"What did he do?\"\n },\n {\n \"14989\": \"Did he take it?\"\n },\n {\n \"14990\": \"Did the stranger leave?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14981\",\n \"answer\": \"Sandy\"\n },\n {\n \"question_id\": \"14982\",\n \"answer\": \"Sandy kicked dirt at Derek\"\n },\n {\n \"question_id\": \"14983\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"14984\",\n \"answer\": \"he sat down\"\n },\n {\n \"question_id\": \"14985\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14986\",\n \"answer\": \"a stranger\"\n },\n {\n \"question_id\": \"14987\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14988\",\n \"answer\": \"Offered Derek candy\"\n },\n {\n \"question_id\": \"14989\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14990\",\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 XXVII \n\nA DECLARATION OF INDEPENDENCE \n\nIf Jimmy had entertained any doubts concerning the effectiveness of this disclosure, they would have vanished at the sight of the other's face. Just as the rich hues of a sunset pale slowly into an almost imperceptible green, so did the purple of Sir Thomas's cheeks become, in stages, first a dull red, then pink, and finally take on a uniform pallor. His mouth hung open. His attitude of righteous defiance had crumpled. Unsuspected creases appeared in his clothes. He had the appearance of one who has been caught in the machinery. \n\nJimmy was a little puzzled. He had expected to check the enemy, to bring him to reason, but not to demolish him in this way. There was something in this which he did not understand. When Spike had handed him the stones, and his trained eye, after a moment's searching examination, had made him suspicious, and when, finally, a simple test had proved his suspicions correct, he was comfortably aware that, though found with the necklace on his person, he had knowledge, which, communicated to Sir Thomas, would serve him well. He knew that Lady Julia was not the sort of lady who would bear calmly the announcement that her treasured rope of diamonds was a fraud. He knew enough of her to know that she would demand another necklace, and see that she got it; and that Sir Thomas was not one of those generous and expansive natures which think nothing of an expenditure of twenty thousand pounds. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72317\": \"Who was confused?\"\n },\n {\n \"72318\": \"What was a fraud?\"\n },\n {\n \"72319\": \"Whose was it?\"\n },\n {\n \"72320\": \"Who was righteous at first?\"\n },\n {\n \"72321\": \"Did somebody perform a test?\"\n },\n {\n \"72322\": \"What did Jimmy think Lady Julia would insist on?\"\n },\n {\n \"72323\": \"Did Sir Thomas seem generous?\"\n },\n {\n \"72324\": \"What did Jimmy expect to do to the enemy?\"\n },\n {\n \"72325\": \"But what did he end up doing?\"\n },\n {\n \"72326\": \"Who handed him the diamonds?\"\n },\n {\n \"72327\": \"How did he feel after looking at them?\"\n },\n {\n \"72328\": \"Did he turn out to be right?\"\n },\n {\n \"72329\": \"What would Lady Julia make sure of?\"\n },\n {\n \"72330\": \"In whose clothes did creases show up?\"\n },\n {\n \"72331\": \"And how did he appear?\"\n },\n {\n \"72332\": \"Did the necklace have rubies on it?\"\n },\n {\n \"72333\": \"Who had a trained eye?\"\n },\n {\n \"72334\": \"What color did Sir Thomas' cheeks turn at first?\"\n },\n {\n \"72335\": \"What color next?\"\n },\n {\n \"72336\": \"And then what finally?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"72317\",\n \"answer\": \"Jimmy\"\n },\n {\n \"question_id\": \"72318\",\n \"answer\": \"diamonds necklace\"\n },\n {\n \"question_id\": \"72319\",\n \"answer\": \"Lady Julia\"\n },\n {\n \"question_id\": \"72320\",\n \"answer\": \"sir thomas\"\n },\n {\n \"question_id\": \"72321\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72322\",\n \"answer\": \"another necklace\"\n },\n {\n \"question_id\": \"72323\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72324\",\n \"answer\": \"check him\"\n },\n {\n \"question_id\": \"72325\",\n \"answer\": \"demolish him\"\n },\n {\n \"question_id\": \"72326\",\n \"answer\": \"Spike\"\n },\n {\n \"question_id\": \"72327\",\n \"answer\": \"suspicious\"\n },\n {\n \"question_id\": \"72328\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72329\",\n \"answer\": \"got necklace\"\n },\n {\n \"question_id\": \"72330\",\n \"answer\": \"sir thomas\"\n },\n {\n \"question_id\": \"72331\",\n \"answer\": \"like one who has been caught in the machinery.\"\n },\n {\n \"question_id\": \"72332\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72333\",\n \"answer\": \"Jimmy\"\n },\n {\n \"question_id\": \"72334\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"72335\",\n \"answer\": \"pink\"\n },\n {\n \"question_id\": \"72336\",\n \"answer\": \"uniform pallor\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. Laurence was not allowed to see Beth, and Meg felt unhappy writing letters to her mother saying nothing about Beth's illness. Jo nursed Beth night and day, but the time came when Beth did not know her and called for her mother. Jo was frightened, and Meg begged to be allowed to write the truth, but Hannah said there was no danger yet. Then a letter came saying that Mr. March was worse and could not think of coming home for a long time. How dark the days seemed. How sad and lonely. The sisters worked and waited as the shadow of death lay over the once happy home. It was then that Meg realized how rich she had been in the things which really mattered--love, peace, good health. And Jo, watching her little sister, thought about how unselfish Beth always was--living for others and trying to make home a happy place for all who came there. Amy, sad and lonely at Aunt March's house, just wanted to come home so that she could do something to help Beth. On the first day of December, the doctor came in the morning. He looked at Beth, then said quietly, 'If Mrs. March can leave her husband, I think she should come home now.' Jo threw on her coat and ran out into the snow to send a telegram. When she arrived back, Laurie came with a letter saying that Mr. March was getting better again. This was good news, but Jo's face was so unhappy that Laurie asked, 'What is it? Is Beth worse?' 'I've sent for Mother,' said Jo, beginning to cry. 'Beth doesn't know us any more.' Laurie held her hand and whispered, 'I'm here, Jo. Hold on to me. Your mother will be here soon, and then everything will be all right.'\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37474\": \"Was Meg telling her Mom about Beth being sick?\"\n },\n {\n \"37475\": \"Who was not allowed to see Beth?\"\n },\n {\n \"37476\": \"Who was taking care of Beth?\"\n },\n {\n \"37477\": \"How did Jo feel emotionally?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37474\",\n \"answer\": \"Meg felt unhappy writing letters to her mother saying nothing about Beth's illness\"\n },\n {\n \"question_id\": \"37475\",\n \"answer\": \"Mr. Laurence was not allowed to see Beth\"\n },\n {\n \"question_id\": \"37476\",\n \"answer\": \"Jo nursed Beth night and day - Jo was taking care of Beth\"\n },\n {\n \"question_id\": \"37477\",\n \"answer\": \"Jo was frightened\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n So ill he could not move, Wolfgang Amadeus Mozart supposedly sang parts of his final masterpiece, \"Requiem,\" from his deathbed. Two centuries later, the exact cause of the Austrian composer's premature death, in December 1791 at age 35, is still a mystery. \n\nThis portrait by painter Johann Georg Edlinger, showed Mozart not long before his mysterious death in 1791. \n\nTheories abound. It's known that his entire body was so swollen he couldn't turn over in bed; some say jealous rivals poisoned him, while others suggest scarlet fever, tuberculosis, or lethal trichinosis from undercooked pork. \n\nNow, new evidence points to an altogether different conclusion: Mozart may have died from kidney damage caused by a strep infection, possibly strep throat. Health.com: Can't stop coughing? 8 causes of chronic cough \n\nDr. Richard H.C. Zegers of the University of Amsterdam and his colleagues analyzed data from Vienna's death registry. Researchers had not previously analyzed the daily death registry -- begun in handwritten script in 1607 and maintained until 1920 -- for clues to Mozart's death. \n\nZegers and his team looked at information for 5,011 adults who died during three consecutive winters starting in 1790, as well as eyewitness accounts of Mozart's death, according to the study published this week in Annals of Internal Medicine. \n\n\"By looking at the patterns of death during Mozart's time and combining them with the signs and symptoms of his final disease, we have not one but two pillars on which our theory is built,\" said Zegers. \"Although we can't be 100 percent conclusive, I'm convinced that we have come very near the exact reason he died.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87998\": \"When did Vienna start their death registry?\"\n },\n {\n \"87999\": \"When does it end?\"\n },\n {\n \"88000\": \"How was it written in the beginning?\"\n },\n {\n \"88001\": \"Who has been looking it over?\"\n },\n {\n \"88002\": \"From where?\"\n },\n {\n \"88003\": \"What are they hoping to find?\"\n },\n {\n \"88004\": \"Are they the first to do this?\"\n },\n {\n \"88005\": \"When did Mozart die?\"\n },\n {\n \"88006\": \"What month?\"\n },\n {\n \"88007\": \"How old was he?\"\n },\n {\n \"88008\": \"Are there rumors about how he died\"\n },\n {\n \"88009\": \"Who might have poisoned him?\"\n },\n {\n \"88010\": \"Where could he have picked up trichinosis?\"\n },\n {\n \"88011\": \"Can that be fatal?\"\n },\n {\n \"88012\": \"What did he do while on his deathbed?\"\n },\n {\n \"88013\": \"What?\"\n },\n {\n \"88014\": \"Who painted a picture of him?\"\n },\n {\n \"88015\": \"Why couldn't he flip over?\"\n },\n {\n \"88016\": \"What is a current theory on his cause of death?\"\n },\n {\n \"88017\": \"From what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"87998\",\n \"answer\": \"1607\"\n },\n {\n \"question_id\": \"87999\",\n \"answer\": \"1920\"\n },\n {\n \"question_id\": \"88000\",\n \"answer\": \"it was handwritten\"\n },\n {\n \"question_id\": \"88001\",\n \"answer\": \"Dr. Richard H.C. Zegers and his colleagues\"\n },\n {\n \"question_id\": \"88002\",\n \"answer\": \"the University of Amsterdam\"\n },\n {\n \"question_id\": \"88003\",\n \"answer\": \"clues to Mozart's death\"\n },\n {\n \"question_id\": \"88004\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"88005\",\n \"answer\": \"1791\"\n },\n {\n \"question_id\": \"88006\",\n \"answer\": \"December\"\n },\n {\n \"question_id\": \"88007\",\n \"answer\": \"35\"\n },\n {\n \"question_id\": \"88008\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88009\",\n \"answer\": \"jealous rivals\"\n },\n {\n \"question_id\": \"88010\",\n \"answer\": \"undercooked pork\"\n },\n {\n \"question_id\": \"88011\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88012\",\n \"answer\": \"sing\"\n },\n {\n \"question_id\": \"88013\",\n \"answer\": \"\\\"Requiem\\\"\"\n },\n {\n \"question_id\": \"88014\",\n \"answer\": \"Johann Georg Edlinger\"\n },\n {\n \"question_id\": \"88015\",\n \"answer\": \"his body was swollen\"\n },\n {\n \"question_id\": \"88016\",\n \"answer\": \"kidney damage\"\n },\n {\n \"question_id\": \"88017\",\n \"answer\": \"a strep infection\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CAIRO, Egypt (CNN) -- Omar bin Laden has a message for his father, Osama: \"Find another way.\" \n\nOmar bin Laden says he last saw his father in 2000 when the son decided to leave al Qaeda. \n\nThe son of the most-wanted man in the world spoke Sunday to CNN in a quiet, middle-class suburb about an hour outside Cairo, Egypt. \n\nOmar bin Laden, who works as a contractor, said he is talking publicly because he wants an end to the violence his father has inspired -- violence that has killed innocent civilians in a spate of attacks around the world, including those of September 11, 2001. \n\n\"I try and say to my father: 'Try to find another way to help or find your goal. This bomb, this weapons, it's not good to use it for anybody,' \" he said in English learned in recent months from his British wife. \n\nHe said that's not just his own message, but one that a friend of his father's and other Muslims have expressed to him. \"They too say ... my father should change [his] way,\" he said. Watch whether Omar bin Laden thinks his father will ever be caught » \n\nHe said he hasn't spoken to his father since 2000, when he walked away from an al Qaeda training camp in Afghanistan with his father's blessings. He said he has no idea where his father is, but is confident he will never be caught because locals support him. \n\nAsked if his father might be living along the Afghan-Pakistan border, he said, \"Maybe, maybe not.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50852\": \"who was sent a message?\"\n },\n {\n \"50853\": \"when was the last time he saw his dad?\"\n },\n {\n \"50854\": \"what happened during that visit?\"\n },\n {\n \"50855\": \"on what dad did the interview occur?\"\n },\n {\n \"50856\": \"who conducted it?\"\n },\n {\n \"50857\": \"where?\"\n },\n {\n \"50858\": \"was it loud?\"\n },\n {\n \"50859\": \"was it wealthy?\"\n },\n {\n \"50860\": \"what country were they in?\"\n },\n {\n \"50861\": \"were they near somewhere?\"\n },\n {\n \"50862\": \"where?\"\n },\n {\n \"50863\": \"how near?\"\n },\n {\n \"50864\": \"what is the son's profession?\"\n },\n {\n \"50865\": \"does he approve of killing?\"\n },\n {\n \"50866\": \"what language did he recently learn?\"\n },\n {\n \"50867\": \"who taught him?\"\n },\n {\n \"50868\": \"is she Egyptian?\"\n },\n {\n \"50869\": \"what is he nationality?\"\n },\n {\n \"50870\": \"where does he think his dad is?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"50852\",\n \"answer\": \"Omar bin Laden's father\"\n },\n {\n \"question_id\": \"50853\",\n \"answer\": \"in 2000\"\n },\n {\n \"question_id\": \"50854\",\n \"answer\": \"he decided to leave al Qaeda.\"\n },\n {\n \"question_id\": \"50855\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"50856\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"50857\",\n \"answer\": \"in a suburb\"\n },\n {\n \"question_id\": \"50858\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"50859\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"50860\",\n \"answer\": \"Egypt.\"\n },\n {\n \"question_id\": \"50861\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"50862\",\n \"answer\": \"Cairo\"\n },\n {\n \"question_id\": \"50863\",\n \"answer\": \"about an hour outside Cairo\"\n },\n {\n \"question_id\": \"50864\",\n \"answer\": \"he is a contractor\"\n },\n {\n \"question_id\": \"50865\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"50866\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"50867\",\n \"answer\": \"his wife\"\n },\n {\n \"question_id\": \"50868\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"50869\",\n \"answer\": \"British\"\n },\n {\n \"question_id\": \"50870\",\n \"answer\": \"perhaps living along the Afghan-Pakistan border,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- The body of actor James Gandolfini has been returned to the United States, a family friend said Monday. \n\nA charter flight to Newark, New Jersey, on Sunday night carried the body of the \"Sopranos\" star, Michael Kobold said. \n\nAn autopsy determined his death was the result of a heart attack, Kobold said. \n\nA funeral service for family and friends is scheduled for Thursday in New York, Kobold said. It will be held at The Cathedral Church of St. John the Divine in Manhattan. \n\nGandolfini, 51, died last week while on a working vacation in Rome. He arrived there with his son, Michael, the day before he died. \n\n\"Jim was happy, he was healthy, he was doing really fine,\" Kobold said recently. \"He was on vacation with his son. He has an 8-month-old daughter. Everything was going great. I just spoke to him on Father's Day.\" \n\nThe same day Gandolfini died, he had visited the Vatican and dined with his son, the family said. After he returned to his room, his son alerted hotel staff that he was not answering knocks on the bathroom door. \n\nHotel staff broke down the door to get to him and called an ambulance, said Tiziana Rocca, head of a film festival the actor was planning to attend. \n\nGandolfini was in Italy to receive an award at the Taormina Film Fest in the Sicilian town of Taormina. \n\nInstead of the award ceremony, the festival paid tribute to Gandolfini's lifetime achievements. \n\nThe actor shot to fame on the HBO drama \"The Sopranos.\" In the widely successful series, he played Tony Soprano, a tough New Jersey crime boss. He also appeared in various movies, including \"Zero Dark Thirty\" and \"Killing Them Softly.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55381\": \"When is the funeral?\"\n },\n {\n \"55382\": \"What was the cause of death?\"\n },\n {\n \"55383\": \"Where is the funeral?\"\n },\n {\n \"55384\": \"Who died?\"\n },\n {\n \"55385\": \"Who was head of the film festival?\"\n },\n {\n \"55386\": \"What show was he famous for?\"\n },\n {\n \"55387\": \"Did he have children?\"\n },\n {\n \"55388\": \"Did the festival pay tribute to him?\"\n },\n {\n \"55389\": \"When did the body arrive in New Jersey?\"\n },\n {\n \"55390\": \"Did he act in any movies?\"\n },\n {\n \"55391\": \"Who did he play on The Sopranos?\"\n },\n {\n \"55392\": \"What was his son\\u2019s name?\"\n },\n {\n \"55393\": \"How old was he when he died?\"\n },\n {\n \"55394\": \"How old was his daughter?\"\n },\n {\n \"55395\": \"Where was he vacationing?\"\n },\n {\n \"55396\": \"Was he happy before his death?\"\n },\n {\n \"55397\": \"Who was he vacationing with?\"\n },\n {\n \"55398\": \"What movies did he act in?\"\n },\n {\n \"55399\": \"What did he do on the day of his death?\"\n },\n {\n \"55400\": \"What was he in Italy for?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55381\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"55382\",\n \"answer\": \"a heart attack\"\n },\n {\n \"question_id\": \"55383\",\n \"answer\": \"at The Cathedral Church of St. John the Divine in Manhattan\"\n },\n {\n \"question_id\": \"55384\",\n \"answer\": \"James Gandolfini\"\n },\n {\n \"question_id\": \"55385\",\n \"answer\": \"Tiziana Rocca\"\n },\n {\n \"question_id\": \"55386\",\n \"answer\": \"the Sopranos\"\n },\n {\n \"question_id\": \"55387\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55388\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55389\",\n \"answer\": \"Sunday night\"\n },\n {\n \"question_id\": \"55390\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55391\",\n \"answer\": \"Tony Soprano\"\n },\n {\n \"question_id\": \"55392\",\n \"answer\": \"Michael\"\n },\n {\n \"question_id\": \"55393\",\n \"answer\": \"51\"\n },\n {\n \"question_id\": \"55394\",\n \"answer\": \"8 months old\"\n },\n {\n \"question_id\": \"55395\",\n \"answer\": \"Rome\"\n },\n {\n \"question_id\": \"55396\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55397\",\n \"answer\": \"his son\"\n },\n {\n \"question_id\": \"55398\",\n \"answer\": \"\\\"Zero Dark Thirty\\\" and \\\"Killing Them Softly\\\"\"\n },\n {\n \"question_id\": \"55399\",\n \"answer\": \"visited the Vatican and dined with his son\"\n },\n {\n \"question_id\": \"55400\",\n \"answer\": \"to receive an award at the Taormina Film Fest\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Bill Gates is putting out a call to inventors, but he's not looking for software, or the latest high-tech gadget. This time he's in search of a better condom. \n\nOn its Grand Challenges website, the Bill and Melinda Gates Foundation is offering a $100,000 startup grant to the person who designs \"the next generation condom that significantly preserves or enhances pleasure\" and promotes \"regular use.\" \n\nIt may sound like the setup for a joke, but the goal is deadly serious. While researchers call condoms one of the best ways to stop the spread of HIV, the virus that causes AIDS, getting people to use them is another story. \n\nThe foundation wants to see something that will lead men and women outside of a committed relationship to stop and think twice before having unprotected sex. The startup grant could lead to $1 million in further funding. \n\n\"Male condoms are cheap, easy to manufacture, easy to distribute, and available globally, including in resource-poor settings, through numerous well-developed distribution channels,\" the foundation says. Nevertheless, many people are reluctant to use them because they complain that prophylactics interfere with pleasure and intimacy. This creates \"a trade-off that many men find unacceptable,\" the foundation notes. \n\nContraception, by the numbers \n\nIn some places and cultures, condom use is often seen as a sign that a man has AIDS, and many women won't sleep with such men. Female condoms are even more difficult to use and women are often afraid to suggest using them. \n\n\"Any advance or new design that gets people to use condoms would be a big plus,\" Dr. Anthony Fauci, head of the National Institute of Allergy and Infectious Diseases and one of the world's leading AIDS researchers, said in an interview with CNN. He says great strides have been made in treating HIV infection in Africa, but for every person who is treated two more become newly infected. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19705\": \"What is Bill Gates looking for?\"\n },\n {\n \"19706\": \"What is one reason people don't like to use condoms?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"19705\",\n \"answer\": \"a better condom.\"\n },\n {\n \"question_id\": \"19706\",\n \"answer\": \"they interfere with pleasure and intimacy\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Rason, North Korea (CNN) -- As the sole Western journalist covering a unique bicycle race in North Korea last month, I was provided with a personal guide, a car with a driver and the promise that I was free to take any photographs I wanted. As a journalist, it seemed like an incredible opportunity to document a small snapshot of what North Korea was really like. \n\nHowever, the promise turned out not to be completely true. \n\nAt the border, before going back to China, a group of security guards confiscated my camera and erased all images they thought were inappropriate, or did not portray the country in a favorable light. \n\nThe North Korea I wasn't meant to see \n\nBut with the help of a computer expert in Hong Kong, I managed to get all the pictures back. \n\nOfficially, I only had two restrictions to obey during my trip: No photos of the military or military facilities and all shots of portraits of Kim Il Sung and his son Kim Jong-Il had to show their entire figures. And I was under no circumstances allowed to walk off alone. \n\nMy guide, Ko Chang Ho, was surprisingly friendly and talkative. Contrary to the propaganda machine I was expecting, the 42-year-old father of two talked at length about his days as an English student in Pyongyang and his interest in international literature. His favorite author was William Shakespeare; the last book he read was Sir Walter Scott's classic novel, \"Ivanhoe.\" \n\nWe also talked about why the outside world has such a negative view of North Korea; something he was very sad about. He loved his country and I chose my words carefully. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39276\": \"What is the job of the person in article?\"\n },\n {\n \"39277\": \"What happened at border?\"\n },\n {\n \"39278\": \"Did they do anything?\"\n },\n {\n \"39279\": \"Why?\"\n },\n {\n \"39280\": \"Did he get all the images back?\"\n },\n {\n \"39281\": \"How?\"\n },\n {\n \"39282\": \"Where at?\"\n },\n {\n \"39283\": \"Did the person have any rules to follow on his trip?\"\n },\n {\n \"39284\": \"What were they?\"\n },\n {\n \"39285\": \"Anything else?\"\n },\n {\n \"39286\": \"Who was his guide?\"\n },\n {\n \"39287\": \"How old was he?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39276\",\n \"answer\": \"Journalist\"\n },\n {\n \"question_id\": \"39277\",\n \"answer\": \"a group of security guards confiscated my camera\"\n },\n {\n \"question_id\": \"39278\",\n \"answer\": \"Erased all images\"\n },\n {\n \"question_id\": \"39279\",\n \"answer\": \"They thought were inappropriate or did not portray country in favorable light\"\n },\n {\n \"question_id\": \"39280\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39281\",\n \"answer\": \"Help of a computer expert\"\n },\n {\n \"question_id\": \"39282\",\n \"answer\": \"Hong Kong\"\n },\n {\n \"question_id\": \"39283\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"39284\",\n \"answer\": \"No photos of the military or military facilities and all shots of portraits of Kim Il Sung and his son Kim Jong-Il had to show their entire figures\"\n },\n {\n \"question_id\": \"39285\",\n \"answer\": \"Could not walk off alone.\"\n },\n {\n \"question_id\": \"39286\",\n \"answer\": \"Ko Chang Ho\"\n },\n {\n \"question_id\": \"39287\",\n \"answer\": \"42.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Saturday Patrick woke up with a little shock, knowing that this was a special day. For a moment he couldn't think exactly why, and then, with an excited flutter of his stomach, he remembered. At ten o'clock today he was going to find out the final result of the programme called Super Brain. He got dressed more carefully than usual, went downstairs and turned on the TV. Quickly he switched channels. Cartoons, cartoons, advertisements, man talking, snow, snow... and still nothing at all on Channel 8. \"Patrick, turn it off, darling, if you're going to watch.\" Judith walked past with the newspaper under her arm and her eyes half closed. She headed for the kitchen. Patrick turned off the TV and followed. \"What's for breakfast, Mum?\" \"We will see,\" Judith said in a low voice, turning on the electric kettle . She looked sleepily at him and smiled. \"You look nice, darling,\" She said. \"You're all ready. But we can't go till eight-thirty at the earliest, you know. Nothing will be open till then.\" Patrick's stomach seemed to feel a little sick. \"We aren't going out, are we?\" He asked. Judith began to make the tea. \"Don't say you've forgotten!\" she said, \"I promised you, last Saturday. Your new trainers, remember?\" \"Oh--oh, but I can't go out this morning, Mum. There's something I've got to watch on TV. At ten o'clock. I've got to! My trainers will be all right for another week.\" Patrick said with excitement, looking quite worried. Judith faced him, hands on hips, \"Patrick,\" she said with great dislike, \"it's all organized.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60042\": \"What day does the story take place on?\"\n },\n {\n \"60043\": \"What's the main character's name?\"\n },\n {\n \"60044\": \"How did he feel after waking?\"\n },\n {\n \"60045\": \"Why?\"\n },\n {\n \"60046\": \"What made it special?\"\n },\n {\n \"60047\": \"What tv station was the program on?\"\n },\n {\n \"60048\": \"Who was Judith?\"\n },\n {\n \"60049\": \"What did she ask him to do?\"\n },\n {\n \"60050\": \"What did he ask her?\"\n },\n {\n \"60051\": \"Was what her answer?\"\n },\n {\n \"60052\": \"What do they eat for breakfast during the story?\"\n },\n {\n \"60053\": \"What did Patrick's Mum plan to do in the morning?\"\n },\n {\n \"60054\": \"Did Patrick have the same plan?\"\n },\n {\n \"60055\": \"What did he say about the shoes?\"\n },\n {\n \"60056\": \"Did his mom agree with him?\"\n },\n {\n \"60057\": \"What time would the shops open?\"\n },\n {\n \"60058\": \"What was Judith making while they talked?\"\n },\n {\n \"60059\": \"When did they previously talk about the trainers?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60042\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"60043\",\n \"answer\": \"Patrick\"\n },\n {\n \"question_id\": \"60044\",\n \"answer\": \"shocked\"\n },\n {\n \"question_id\": \"60045\",\n \"answer\": \"this was a special day\"\n },\n {\n \"question_id\": \"60046\",\n \"answer\": \"he was going to find out the final result of the programme called Super Brain\"\n },\n {\n \"question_id\": \"60047\",\n \"answer\": \"Channel 8\"\n },\n {\n \"question_id\": \"60048\",\n \"answer\": \"his mum\"\n },\n {\n \"question_id\": \"60049\",\n \"answer\": \"to turn off the tv\"\n },\n {\n \"question_id\": \"60050\",\n \"answer\": \"what was for breakfast\"\n },\n {\n \"question_id\": \"60051\",\n \"answer\": \"\\\"We will see\\\"\"\n },\n {\n \"question_id\": \"60052\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"60053\",\n \"answer\": \",to get him new trainers\"\n },\n {\n \"question_id\": \"60054\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60055\",\n \"answer\": \"that his trainers will be all right for another week\"\n },\n {\n \"question_id\": \"60056\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60057\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"60058\",\n \"answer\": \"tea\"\n },\n {\n \"question_id\": \"60059\",\n \"answer\": \"last Saturday\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 18-meter-tall Rubber Duck arrived in Beijing on Friday. It was placed on waters in the International Garden Expo Park, where the Yongding River passes through. The Rubber Duck exhibition was designed by Dutch artist, Florentijn Hofman. It was part of the activities of Beijing Design Week, which ran from September 26 to October 3 in 2013. The Rubber Duck stayed in the park until September 23, then moved to the Summer Palace, a famous Beijing tourist spot, where it was on display until October 26. The duck is made of over 200 pieces of rubber. It was guarded not only by staff, but also by 10 volunteers wearing yellow T-shirts and hats with a rubber duck logo. Sun Yidong, a volunteer who guided visitors to the duck, said the art brought energy to the traditional Chinese park. \"Seeing the giant Rubber Duck makes me feel like I'm a kid again.\" Sun said. Because of the rain on Friday, there were not too many people coming to see it. The Expo workers said they expected more people to come and visit the duck on weekends. Zhao Yan said she had been following news about the duck since 2007, when the duck began its journey. \"I even considered going to Hong Kong to see it. It's great that the duck is in Beijing,\" Zhao said. Before arriving in Beijing, the Rubber Duck traveled to 13 cities in nine countries. \"The aim of the Rubber Duck is simply to bring everyone back to their childhood again,\" said Zeng Hui, a leader of the Beijing Design Week Organizing Committee Office. \"It can be a toy for adults.\" ,.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18204\": \"Who designed the exhibit?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18204\",\n \"answer\": \"Florentijn Hofman\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Saturday Night Live (abbreviated as SNL) is an American late-night live television sketch comedy and variety show created by Lorne Michaels and developed by Dick Ebersol. The show premiered on NBC on October 11, 1975, under the original title NBC's Saturday Night. The show's comedy sketches, which parody contemporary culture and politics, are performed by a large and varying cast of repertory and newer cast members. Each episode is hosted by a celebrity guest (who usually delivers an opening monologue and performs in sketches with the cast) and features performances by a musical guest. An episode normally begins with a cold open sketch that ends with someone breaking character and proclaiming, \"Live from New York, it's Saturday Night!\", properly beginning the show. \n\nIn 1980, Michaels left the series to explore other opportunities. He was replaced by Jean Doumanian, who was replaced by Ebersol after a season of bad reviews. Ebersol ran the show until 1985, when Michaels returned; Michaels has remained since then. Many of \"SNL\"s cast found national stardom while appearing on the show, and achieved success in film and television, both in front of and behind the camera. Others associated with the show, such as writers, have gone on to successful careers creating, writing, or starring in TV and film.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65477\": \"Has the shown been good for it\\u2019s cast and writers?\"\n },\n {\n \"65478\": \"When did Michaels leave?\"\n },\n {\n \"65479\": \"Who replaced him?\"\n },\n {\n \"65480\": \"When did the show premier?\"\n },\n {\n \"65481\": \"Where is the show made?\"\n },\n {\n \"65482\": \"Does it have an abbreviation?\"\n },\n {\n \"65483\": \"what is that?\"\n },\n {\n \"65484\": \"standing for?\"\n },\n {\n \"65485\": \"Who got bad reviews?\"\n },\n {\n \"65486\": \"how does the show end?\"\n },\n {\n \"65487\": \"Who hosts the episodes?\"\n },\n {\n \"65488\": \"how many seasons was Jean there?\"\n },\n {\n \"65489\": \"Did Micheals ever return?\"\n },\n {\n \"65490\": \"when?\"\n },\n {\n \"65491\": \"What was the original title?\"\n },\n {\n \"65492\": \"who created it?\"\n },\n {\n \"65493\": \"why did michaels originally leave?\"\n },\n {\n \"65494\": \"and who developed it?\"\n },\n {\n \"65495\": \"is this a day-time show?\"\n },\n {\n \"65496\": \"then what is it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65477\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65478\",\n \"answer\": \"in 1980\"\n },\n {\n \"question_id\": \"65479\",\n \"answer\": \"Jean Doumanian\"\n },\n {\n \"question_id\": \"65480\",\n \"answer\": \"October 11, 1975\"\n },\n {\n \"question_id\": \"65481\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"65482\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65483\",\n \"answer\": \"SNL\"\n },\n {\n \"question_id\": \"65484\",\n \"answer\": \"Saturday Night Live\"\n },\n {\n \"question_id\": \"65485\",\n \"answer\": \"Jean Doumanian,\"\n },\n {\n \"question_id\": \"65486\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"65487\",\n \"answer\": \"a celebrity guest\"\n },\n {\n \"question_id\": \"65488\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"65489\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65490\",\n \"answer\": \"1985\"\n },\n {\n \"question_id\": \"65491\",\n \"answer\": \"NBC's Saturday Night\"\n },\n {\n \"question_id\": \"65492\",\n \"answer\": \"Lorne Michaels\"\n },\n {\n \"question_id\": \"65493\",\n \"answer\": \"to explore other opportunities\"\n },\n {\n \"question_id\": \"65494\",\n \"answer\": \"Dick Ebersol\"\n },\n {\n \"question_id\": \"65495\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"65496\",\n \"answer\": \"a late-night television show\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 John Locke (; 29 August 1632 – 28 October 1704) was an English philosopher and physician, widely regarded as one of the most influential of Enlightenment thinkers and commonly known as the \"Father of Liberalism\". Considered one of the first of the British empiricists, following the tradition of Sir Francis Bacon, he is equally important to social contract theory. His work greatly affected the development of epistemology and political philosophy. His writings influenced Voltaire and Jean-Jacques Rousseau, many Scottish Enlightenment thinkers, as well as the American revolutionaries. His contributions to classical republicanism and liberal theory are reflected in the United States Declaration of Independence. \n\nLocke's theory of mind is often cited as the origin of modern conceptions of identity and the self, figuring prominently in the work of later philosophers such as David Hume, Rousseau, and Immanuel Kant. Locke was the first to define the self through a continuity of \"consciousness\". He postulated that, at birth, the mind was a blank slate or \"tabula rasa\". Contrary to Cartesian philosophy based on pre-existing concepts, he maintained that we are born without innate ideas, and that knowledge is instead determined only by experience derived from sense perception. This is now known as empiricism. An example of Locke's belief in Empiricism can be seen in his quote, \"whatever I write, as soon as I discover it not to be true, my hand shall be the forwardest to throw it into the fire.\" This shows the ideology of science in his observations in that something must be capable of being tested repeatedly and that nothing is exempt from being disproven. Challenging the work of others, Locke is said to have established the method of introspection, or observing the emotions and behaviours of one’s self.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"56585\": \"Who influenced Voltaire?\"\n },\n {\n \"56586\": \"Who else did he influence besides Voltaire?\"\n },\n {\n \"56587\": \"What was his occupation?\"\n },\n {\n \"56588\": \"Was he a doctor?\"\n },\n {\n \"56589\": \"When was he born?\"\n },\n {\n \"56590\": \"Did he have an impact on Americas Founding documents?\"\n },\n {\n \"56591\": \"Who did he influence in America?\"\n },\n {\n \"56592\": \"Can you name one of his theories?\"\n },\n {\n \"56593\": \"What does that theory state?\"\n },\n {\n \"56594\": \"Does it have another name?\"\n },\n {\n \"56595\": \"What is that?\"\n },\n {\n \"56596\": \"What philosophers did he influence?\"\n },\n {\n \"56597\": \"When did he die?\"\n },\n {\n \"56598\": \"Where was he from?\"\n },\n {\n \"56599\": \"What is he known as?\"\n },\n {\n \"56600\": \"Whos tradition did he follow in?\"\n },\n {\n \"56601\": \"What theory was he important to?\"\n },\n {\n \"56602\": \"What did he maintain humans were born with?\"\n },\n {\n \"56603\": \"What did he believe in?\"\n },\n {\n \"56604\": \"Did he challenge other peoples work?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"56585\",\n \"answer\": \"John Locke\"\n },\n {\n \"question_id\": \"56586\",\n \"answer\": \"Jean-Jacques Rousseau,\"\n },\n {\n \"question_id\": \"56587\",\n \"answer\": \"English philosopher\"\n },\n {\n \"question_id\": \"56588\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"56589\",\n \"answer\": \"1632\"\n },\n {\n \"question_id\": \"56590\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"56591\",\n \"answer\": \"American revolutionaries.\"\n },\n {\n \"question_id\": \"56592\",\n \"answer\": \"Theory of mind.\"\n },\n {\n \"question_id\": \"56593\",\n \"answer\": \"At birth, the mind was a blank slate.\"\n },\n {\n \"question_id\": \"56594\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"56595\",\n \"answer\": \"Tabula rasa.\"\n },\n {\n \"question_id\": \"56596\",\n \"answer\": \"David Hume,\"\n },\n {\n \"question_id\": \"56597\",\n \"answer\": \"1704\"\n },\n {\n \"question_id\": \"56598\",\n \"answer\": \"England.\"\n },\n {\n \"question_id\": \"56599\",\n \"answer\": \"Father of Liberalism.\"\n },\n {\n \"question_id\": \"56600\",\n \"answer\": \"Sir Francis Bacon.\"\n },\n {\n \"question_id\": \"56601\",\n \"answer\": \"Social contract theory.\"\n },\n {\n \"question_id\": \"56602\",\n \"answer\": \"Without innate ideas,\"\n },\n {\n \"question_id\": \"56603\",\n \"answer\": \"Empiricism.\"\n },\n {\n \"question_id\": \"56604\",\n \"answer\": \"Yes.\"\n }\n]\n"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.