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 CHAPTER XXXVI. \n\nBATTLE OF BLACK RIVER BRIDGE--CROSSING THE BIG BLACK--INVESTMENT OF VICKSBURG--ASSAULTING THE WORKS. \n\nWe were now assured of our position between Johnston and Pemberton, without a possibility of a junction of their forces. Pemberton might have made a night march to the Big Black, crossed the bridge there and, by moving north on the west side, have eluded us and finally returned to Johnston. But this would have given us Vicksburg. It would have been his proper move, however, and the one Johnston would have made had he been in Pemberton's place. In fact it would have been in conformity with Johnston's orders to Pemberton. \n\nSherman left Jackson with the last of his troops about noon on the 16th and reached Bolton, twenty miles west, before halting. His rear guard did not get in until two A.M. the 17th, but renewed their march by daylight. He paroled his prisoners at Jackson, and was forced to leave his own wounded in care of surgeons and attendants. At Bolton he was informed of our victory. He was directed to commence the march early next day, and to diverge from the road he was on to Bridgeport on the Big Black River, some eleven miles above the point where we expected to find the enemy. Blair was ordered to join him there with the pontoon train as early as possible. \n\nThis movement brought Sherman's corps together, and at a point where I hoped a crossing of the Big Black might be effected and Sherman's corps used to flank the enemy out of his position in our front, thus opening a crossing for the remainder of the army. I informed him that I would endeavor to hold the enemy in my front while he crossed the river. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69627\": \"Was there a chance that the forces might merge?\"\n },\n {\n \"69628\": \"Where were they located?\"\n },\n {\n \"69629\": \"Could Pemberton have avoided them?\"\n },\n {\n \"69630\": \"To do so, what time would they have needed to travel?\"\n },\n {\n \"69631\": \"Where would they need to cross a bridge?\"\n },\n {\n \"69632\": \"Where would they end up returning to?\"\n },\n {\n \"69633\": \"What would they have given up by doing so?\"\n },\n {\n \"69634\": \"What date did Sherman depart?\"\n },\n {\n \"69635\": \"Where did he leave from?\"\n },\n {\n \"69636\": \"Which direction did he head?\"\n },\n {\n \"69637\": \"Where did they stop?\"\n },\n {\n \"69638\": \"What news did he receive there?\"\n },\n {\n \"69639\": \"When did they decide to continue their travels?\"\n },\n {\n \"69640\": \"Who was going to meet them?\"\n },\n {\n \"69641\": \"With what?\"\n },\n {\n \"69642\": \"Were they in a hurry?\"\n },\n {\n \"69643\": \"Where were the prisoners pardoned?\"\n },\n {\n \"69644\": \"What time did the rear guard finally arrive?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69627\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"69628\",\n \"answer\": \"Between Johnston and Pemberton.\"\n },\n {\n \"question_id\": \"69629\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69630\",\n \"answer\": \"At night\"\n },\n {\n \"question_id\": \"69631\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"69632\",\n \"answer\": \"Johnston\"\n },\n {\n \"question_id\": \"69633\",\n \"answer\": \"Vicksburg\"\n },\n {\n \"question_id\": \"69634\",\n \"answer\": \"Around noon on the 16th.\"\n },\n {\n \"question_id\": \"69635\",\n \"answer\": \"Jackson\"\n },\n {\n \"question_id\": \"69636\",\n \"answer\": \"West.\"\n },\n {\n \"question_id\": \"69637\",\n \"answer\": \"Bolton\"\n },\n {\n \"question_id\": \"69638\",\n \"answer\": \"Our victory\"\n },\n {\n \"question_id\": \"69639\",\n \"answer\": \"Early the next day.\"\n },\n {\n \"question_id\": \"69640\",\n \"answer\": \"Blair\"\n },\n {\n \"question_id\": \"69641\",\n \"answer\": \"With the pontoon train.\"\n },\n {\n \"question_id\": \"69642\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69643\",\n \"answer\": \"Jackson\"\n },\n {\n \"question_id\": \"69644\",\n \"answer\": \"His rear guard did not get in until two A.M. the 17th,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Nonverbal communication describes the process of conveying meaning in the form of non-word messages. Examples of nonverbal communication include haptic communication, chronemic communication, gestures, body language, facial expression, eye contact, and how one dresses. Nonverbal communication also relates to intent of a message. Examples of intent are voluntary, intentional movements like shaking a hand or winking, as well as involuntary, such as sweating. Speech also contains nonverbal elements known as paralanguage, e.g. rhythm, intonation, tempo, and stress. There may even be a pheromone component. Research has shown that up to 55% of human communication may occur through non-verbal facial expressions, and a further 38% through paralanguage. It affects communication most at the subconscious level and establishes trust. Likewise, written texts include nonverbal elements such as handwriting style, spatial arrangement of words and the use of emoticons to convey emotion. \n\nFungi communicate to coordinate and organize their growth and development such as the formation of Marcelia and fruiting bodies. Fungi communicate with their own and related species as well as with non fungal organisms in a great variety of symbiotic interactions, especially with bacteria, unicellular eukaryote, plants and insects through biochemicals of biotic origin. The biochemicals trigger the fungal organism to react in a specific manner, while if the same chemical molecules are not part of biotic messages, they do not trigger the fungal organism to react. This implies that fungal organisms can differentiate between molecules taking part in biotic messages and similar molecules being irrelevant in the situation. So far five different primary signalling molecules are known to coordinate different behavioral patterns such as filamentation, mating, growth, and pathogenicity. Behavioral coordination and production of signaling substances is achieved through interpretation processes that enables the organism to differ between self or non-self, a biotic indicator, biotic message from similar, related, or non-related species, and even filter out \"noise\", i.e. similar molecules without biotic content.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98233\": \"What gets filtered out?\"\n },\n {\n \"98234\": \"Noise of what?\"\n },\n {\n \"98235\": \"Can fungi communicate?\"\n },\n {\n \"98236\": \"Give me an example of nonverbal communication?\"\n },\n {\n \"98237\": \"Can you give me one example?\"\n },\n {\n \"98238\": \"Does ones clothing communicate?\"\n },\n {\n \"98239\": \"What about perspiration?\"\n },\n {\n \"98240\": \"Give an example of paralanguage\"\n },\n {\n \"98241\": \"And another example?\"\n },\n {\n \"98242\": \"How much communication is paralanguage?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98233\",\n \"answer\": \"Noise\"\n },\n {\n \"question_id\": \"98234\",\n \"answer\": \"Similar molecules without biotic content.\"\n },\n {\n \"question_id\": \"98235\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98236\",\n \"answer\": \"The biochemicals trigger the fungal organism to react in a specific manner, while if the same chemical molecules are not part of biotic messages, they do not trigger the fungal organism to react.\"\n },\n {\n \"question_id\": \"98237\",\n \"answer\": \"Filamentation\"\n },\n {\n \"question_id\": \"98238\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98239\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"98240\",\n \"answer\": \"Stress\"\n },\n {\n \"question_id\": \"98241\",\n \"answer\": \"Rhythm\"\n },\n {\n \"question_id\": \"98242\",\n \"answer\": \"38%\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Valentine's Day was coming. Helen felt hurt and lonely because this was her first Valentine's Day after the divorce . \n\nHelen's twelve-year-old son, Jack, looked at his mother, knowing that this was a difficult time for both of them. In order to make his mother happy, he prepared a present, and handed it to her on Valentine's Day. \n\nIt was a beautiful gift package .Helen couldn't believe what was happening. She opened it and took out a lovely card and a small box. \n\n\"Now,\" he said, \"read the card.\" It read as follows: \n\n\"I know that this isn't easy for you because it has been a hard year for both of us. I know that Valentine's Day is a special day for people in love. I want you to know that I love you. I know that Valentines are supposed to get chocolate. I went to the store today to buy some for you. Luckily, I got the last piece. I told the clerk it was just perfect.\" \n\nHelen stood there for a moment and looked at her son. Her eyes sparkled in the light as tears formed in each corner. Jack knew he had done the right thing. Slowly she opened the small box, careful not to tear the paper. She would never forget the moment. She found a chocolate heart that was broken into pieces along with a note: \n\n\"I am so sorry that Dad left us, Mom. And all you were left with was a broken heart. But I just want you to know we still have each other. \n\nHappy Valentine's Day! \n\nYour son, \n\nJack\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39357\": \"which holiday was going to be difficult?\"\n },\n {\n \"39358\": \"difficult for who?\"\n },\n {\n \"39359\": \"why?\"\n },\n {\n \"39360\": \"how old was jack?\"\n },\n {\n \"39361\": \"who is he?\"\n },\n {\n \"39362\": \"Did he give her a present?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39357\",\n \"answer\": \"Valentine's Day\"\n },\n {\n \"question_id\": \"39358\",\n \"answer\": \"Both Helen and Jack\"\n },\n {\n \"question_id\": \"39359\",\n \"answer\": \"His dad left them.\"\n },\n {\n \"question_id\": \"39360\",\n \"answer\": \"twelve\"\n },\n {\n \"question_id\": \"39361\",\n \"answer\": \"Helen's son\"\n },\n {\n \"question_id\": \"39362\",\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 Gdańsk (, ; German: \"\" , ) is a Polish city on the Baltic coast. It is the capital of the Pomeranian Voivodeship, Poland's principal seaport and is also the centre of the country's fourth-largest metropolitan area. \n\nThe city lies on the southern edge of Gdańsk Bay (of the Baltic Sea), in a conurbation with the city of Gdynia, spa town of Sopot, and suburban communities, which together form a metropolitan area called the Tricity (\"Trójmiasto\"), with a population approaching 1.4 million. Gdańsk itself has a population of 460,427 (December 2012), making it the largest city in the Pomerania region of Northern Poland. \n\nGdańsk is the capital of Gdańsk Pomerania and the largest city of Kashubia. With its origins as a Polish stronghold erected in the 980s by Mieszko I of Poland, the city's history is complex, with periods of Polish rule, periods of Prussian or German rule, and periods of autonomy or self-rule as a \"free city\". Between the world wars, the Free City of Danzig was in a customs union with Poland and was located between German East Prussia and the so-called Polish Corridor. \n\nGdańsk lies at the mouth of the Motława River, connected to the Leniwka, a branch in the delta of the nearby Vistula River, which drains 60 percent of Poland and connects Gdańsk with the Polish capital, Warsaw. Together with the nearby port of Gdynia, Gdańsk is also an important industrial center. In the late Middle Ages it was an important seaport and shipbuilding town, and in the 14th and 15th centuries a member of the Hanseatic League.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1431\": \"Which bay is Gdansk on?\"\n },\n {\n \"1432\": \"Which sea is that bay part of?\"\n },\n {\n \"1433\": \"Is Gdansk a capital?\"\n },\n {\n \"1434\": \"Of what?\"\n },\n {\n \"1435\": \"Who was the first ruler?\"\n },\n {\n \"1436\": \"Name one of the countries that has ruled it?\"\n },\n {\n \"1437\": \"And another?\"\n },\n {\n \"1438\": \"And one more?\"\n },\n {\n \"1439\": \"Has it ever been under self-rule?\"\n },\n {\n \"1440\": \"What was it called between the world wars?\"\n },\n {\n \"1441\": \"Is it near a river?\"\n },\n {\n \"1442\": \"Which one?\"\n },\n {\n \"1443\": \"Which is connected to ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1431\",\n \"answer\": \"Gda\\u0144sk Bay\"\n },\n {\n \"question_id\": \"1432\",\n \"answer\": \"the Baltic Sea\"\n },\n {\n \"question_id\": \"1433\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1434\",\n \"answer\": \"Pomeranian Voivodeship\"\n },\n {\n \"question_id\": \"1435\",\n \"answer\": \"Mieszko I\"\n },\n {\n \"question_id\": \"1436\",\n \"answer\": \"Poland\"\n },\n {\n \"question_id\": \"1437\",\n \"answer\": \"German\"\n },\n {\n \"question_id\": \"1438\",\n \"answer\": \"Prussian\"\n },\n {\n \"question_id\": \"1439\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1440\",\n \"answer\": \"Danzig\"\n },\n {\n \"question_id\": \"1441\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"1442\",\n \"answer\": \"the Mot\\u0142awa River\"\n },\n {\n \"question_id\": \"1443\",\n \"answer\": \"the Leniwka\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Ever thought of moving to a new country? How about starting a new country? Patri Friedman is planning to do just that. He left Google years ago to set up the Seasteading Institute. And his dream is to build seasteads-----floating micro-nations in the middle of the ocean. So, what will life on a seastead be like? Probably a bit like life on a cruise liner , but much larger, with shops, gyms, swimming pools, schools and other areas. In fact, the early seasteads may actually be specially-rebuilt cruise liners. But as science advances, Friedman believes they'll become more like floating cities, with several hundred people. Seasteading raises a lot of questions. First of all, how will the new countries make money? The Seasteading Institute has suggested several money-making ideas, including ocean-based theme parks, casinos and fish farming. There's also the questions of safety. With storms, typhoons and pirates , the high seas are a dangerous place. However, the Institute says that it can stand bad weather and prevent crimes with its well-designed systems. So, is this just a day dream? Well, maybe not. One of the people behind the project is Peter Thiel. He founded PayPal and was one of the first investors in Facebook. So far, he's donated $ 500,000 to the project. And Friedman isn't wasting any time. He recently announced the creation of the Poseidon Award. This will be given to the first seastead with fifty people. Friedman is hoping to hand out the award in 2015.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63674\": \"Where did Patri used to work?\"\n },\n {\n \"63675\": \"Why?\"\n },\n {\n \"63676\": \"What is his dream?\"\n },\n {\n \"63677\": \"what is that?\"\n },\n {\n \"63678\": \"where will they be?\"\n },\n {\n \"63679\": \"What are some suggestions for them to make money\"\n },\n {\n \"63680\": \"Who is backing this project?\"\n },\n {\n \"63681\": \"What is he known for?\"\n },\n {\n \"63682\": \"Did he make any investments?\"\n },\n {\n \"63683\": \"In what?\"\n },\n {\n \"63684\": \"What else?\"\n },\n {\n \"63685\": \"how much?\"\n },\n {\n \"63686\": \"How many people will live on a seastead\"\n },\n {\n \"63687\": \"What kind of things will they have?\"\n },\n {\n \"63688\": \"who suggested the ways for them to make money?\"\n },\n {\n \"63689\": \"What would be threat to them?\"\n },\n {\n \"63690\": \"Who created the Poseidon Award?\"\n },\n {\n \"63691\": \"What is it for?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63674\",\n \"answer\": \"Google\"\n },\n {\n \"question_id\": \"63675\",\n \"answer\": \"to start the Seasteading Institute\"\n },\n {\n \"question_id\": \"63676\",\n \"answer\": \"to build seasteads\"\n },\n {\n \"question_id\": \"63677\",\n \"answer\": \"floating micro-nations\"\n },\n {\n \"question_id\": \"63678\",\n \"answer\": \"in the middle of the ocean.\"\n },\n {\n \"question_id\": \"63679\",\n \"answer\": \"ocean-based theme parks, casinos and fish farming.\"\n },\n {\n \"question_id\": \"63680\",\n \"answer\": \"Peter Thiel\"\n },\n {\n \"question_id\": \"63681\",\n \"answer\": \"Paypal\"\n },\n {\n \"question_id\": \"63682\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63683\",\n \"answer\": \"Facebook\"\n },\n {\n \"question_id\": \"63684\",\n \"answer\": \"The Seasteading Institute\"\n },\n {\n \"question_id\": \"63685\",\n \"answer\": \"$ 500,000\"\n },\n {\n \"question_id\": \"63686\",\n \"answer\": \"several hundred people.\"\n },\n {\n \"question_id\": \"63687\",\n \"answer\": \"schools, shops, gyms. and swimming pools\"\n },\n {\n \"question_id\": \"63688\",\n \"answer\": \"The Seasteading Institute\"\n },\n {\n \"question_id\": \"63689\",\n \"answer\": \"storms, typhoons and pirates\"\n },\n {\n \"question_id\": \"63690\",\n \"answer\": \"Peter Thiel\"\n },\n {\n \"question_id\": \"63691\",\n \"answer\": \"the first seastead with fifty 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 Fourteen is not an age at which you try to earn millions of dollars. But for Bangalore boy, Suhas Gopinath, it was. \n\nOne day in August, 1999, Suhas, studying at the Air Force School in Hebbal, was surfing the Net at a cyber cafe. He happened to hit an MSN source code . That made him decide to learn more about HTML and to design and set up his own website under the address of a US-based company, Network Solutions. \n\nHe kept updating his website, posting interesting things on it. This impressed Network Solutions and they invited him to attend a class on Web design and development. His mom and uncle criticised him for not taking his education seriously. But gradually, his dad started encouraging him and even bought him a computer and Net connection. In fact, that was his first investment in the company. \n\nOn May 14, 2000, along with friends Clifford Leslie and Binay M. N, he floated his own website -- www.coolhindustani.com. He did not have the money to start, for his parents refused to give him a penny. So he wrote to Network Solutions Inc. in the US and they readily agreed. \n\nIn August, the same year, he set up Globals Inc., a Web solutions and networking company, with a team of four. Now, he has 400 employees, more than 200 customers across the globe and offices in 11 countries, and he is worth over $100 million. \n\nAfter finishing his high school education, he studied at Stanford University for two years. But Suhas says: \"Education alone will not make a good professional .\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45491\": \"What did Suhas Gopinath try try to do?\"\n },\n {\n \"45492\": \"What was he doing in August 1999?\"\n },\n {\n \"45493\": \"What was he studying?\"\n },\n {\n \"45494\": \"did he have a website?\"\n },\n {\n \"45495\": \"what was it called?\"\n },\n {\n \"45496\": \"What kind of stuff did he put on his website?\"\n },\n {\n \"45497\": \"What did he do in May 2000?\"\n },\n {\n \"45498\": \"what was the website called?\"\n },\n {\n \"45499\": \"did he invest any money in it?\"\n },\n {\n \"45500\": \"what's Globals Inc. ?\"\n },\n {\n \"45501\": \"Does he have employees in that company?\"\n },\n {\n \"45502\": \"How many?\"\n },\n {\n \"45503\": \"What is he worth?\"\n },\n {\n \"45504\": \"Where did he study after highschool?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45491\",\n \"answer\": \"earn millions of dollars\"\n },\n {\n \"question_id\": \"45492\",\n \"answer\": \"studying\"\n },\n {\n \"question_id\": \"45493\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45494\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"45495\",\n \"answer\": \"Network Solutions\"\n },\n {\n \"question_id\": \"45496\",\n \"answer\": \"interesting things\"\n },\n {\n \"question_id\": \"45497\",\n \"answer\": \"floated his own website\"\n },\n {\n \"question_id\": \"45498\",\n \"answer\": \"www.coolhindustani.com\"\n },\n {\n \"question_id\": \"45499\",\n \"answer\": \"NO.\"\n },\n {\n \"question_id\": \"45500\",\n \"answer\": \"a Web solutions and networking company,\"\n },\n {\n \"question_id\": \"45501\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"45502\",\n \"answer\": \"400\"\n },\n {\n \"question_id\": \"45503\",\n \"answer\": \"$100 million\"\n },\n {\n \"question_id\": \"45504\",\n \"answer\": \"Stanford University\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mary was waiting for the airplane to take off. She was happy to get a seat by herself. Just then, an air hostess came up to her and asked. \"Would you mind changing your seat? A man would like to sit with his wife.\" The only available seat was next to a girl with her arms broken, a black-and-blue face, and a sad expression . \"I don't want to sit there,\" Mary thought at once. But then a soft voice inside spoke, \"She needs help.\" Finally, Mary moved to that seat. The girl was named Emily. She had been in a car accident and now was on her way for treatment. When the snacks and juice arrived, Mary realized that Emily could not feed herself. Mary thought about offering to feed her but she hesitated , as it seemed too impolite to offer such a help to a stranger. But then Mary realized that Emily's need was more important. Mary offered to help her eat. Although Emily was uncomfortable to accept, _ . They became closer and closer in a short time. By the end of the five-hour trip, Mary's heart had warmed, and the time was really better spent than if she had just sat by herself. Mary was very glad that she sat next to Emily and fed her. Love sometimes goes beyond human boundaries and removes the fears that keep people away. When we reach our hands to help another, we get to live in a larger and more pleasant world.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60930\": \"Who was injured on the plane?\"\n },\n {\n \"60931\": \"What was wrong with her?\"\n },\n {\n \"60932\": \"Who rests next to her?\"\n },\n {\n \"60933\": \"Does she want to?\"\n },\n {\n \"60934\": \"Why not?\"\n },\n {\n \"60935\": \"When did they begin to fight?\"\n },\n {\n \"60936\": \"How many hours was the flight?\"\n },\n {\n \"60937\": \"Was it her original seating arrangement?\"\n },\n {\n \"60938\": \"Who requested that she switch?\"\n },\n {\n \"60939\": \"Why?\"\n },\n {\n \"60940\": \"What did she do to assist the other passenger?\"\n },\n {\n \"60941\": \"Was she comfortable with it?\"\n },\n {\n \"60942\": \"Did that stop her?\"\n },\n {\n \"60943\": \"Why not?\"\n },\n {\n \"60944\": \"Was she ultimately happy she didn't fly alone?\"\n },\n {\n \"60945\": \"What did she learn about hate?\"\n },\n {\n \"60946\": \"Where did they land?\"\n },\n {\n \"60947\": \"What makes the earth a better place?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60930\",\n \"answer\": \"Emily.\"\n },\n {\n \"question_id\": \"60931\",\n \"answer\": \"Her arms broken, a black-and-blue face.\"\n },\n {\n \"question_id\": \"60932\",\n \"answer\": \"Emily.\"\n },\n {\n \"question_id\": \"60933\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60934\",\n \"answer\": \"Seemed too impolite.\"\n },\n {\n \"question_id\": \"60935\",\n \"answer\": \"They didn't fight.\"\n },\n {\n \"question_id\": \"60936\",\n \"answer\": \"Five hours.\"\n },\n {\n \"question_id\": \"60937\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60938\",\n \"answer\": \"An air hostess.\"\n },\n {\n \"question_id\": \"60939\",\n \"answer\": \"A man would like to sit with his wife.\"\n },\n {\n \"question_id\": \"60940\",\n \"answer\": \"Mary offered to help her eat.\"\n },\n {\n \"question_id\": \"60941\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60942\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"60943\",\n \"answer\": \"Emily's need was more important.\"\n },\n {\n \"question_id\": \"60944\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"60945\",\n \"answer\": \"Love sometimes goes beyond human boundaries.\"\n },\n {\n \"question_id\": \"60946\",\n \"answer\": \"On her way for treatment.\"\n },\n {\n \"question_id\": \"60947\",\n \"answer\": \"Reaching our hands to help another.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Alexandra Scott was born to Liz and Jay Scott in Manchester, Connecticut on January 18, 1996, the second of four children. Shortly before her first birthday, Alex was diagnosed with neuroblastoma, a type of childhood cancer. On her first birthday, the doctors informed Alex's parents that if she beat her cancer it was doubtful that she would ever walk again. Just two weeks later, Alex slightly moved her leg at her parents' request to kick. This was the first indication that she would turn out to be a courageous and confident child with big dreams and big accomplishments. By her second birthday, Alex was able to stand up with leg braces . She worked hard to gain strength and to learn how to walk. She appeared to be overcoming the difficul-ties, until the shocking discovery within the next year that her tumors had started growing again. In the year 2000, the day after her fourth birthday, Alex received a stem cell transplant and informed her mother, \"When I get out of the hospital I want to have a lemonade stand. \" She said she wanted to give the money to doctors to allow them to help other kids, like they helped me. True to her word, she held her first lemonade stand later that year with the help of her older brother and raised an amazing $ 2,000 for her hospital. People from all over the world, moved by her story, held their own lemonade stands and donated the earnings to Alex and her cause. In August of 2004, Alex passed away at the age of 8, knowing that, with the help of others, she had raised more than $ 1 million to help find a cure for the disease that took her life. Alex's family--including brothers Patrick, Eddie, and Joey--and supporters around the world are committed to continuing her inspiring cause through Alex's Lemonade Stand Foundation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70303\": \"What were Alex's mom and pop's names?\"\n },\n {\n \"70304\": \"How old is Alex today?\"\n },\n {\n \"70305\": \"Where was she born?\"\n },\n {\n \"70306\": \"How much did her first lemonade stand earn?\"\n },\n {\n \"70307\": \"Who helped her with it?\"\n },\n {\n \"70308\": \"Who'd she give the earnings to?\"\n },\n {\n \"70309\": \"What was her illness called?\"\n },\n {\n \"70310\": \"Which is?\"\n },\n {\n \"70311\": \"How old was she when she died?\"\n },\n {\n \"70312\": \"How many siblings did she have?\"\n },\n {\n \"70313\": \"What were their names?\"\n },\n {\n \"70314\": \"Did Alex wear something on her legs to help her stand?\"\n },\n {\n \"70315\": \"What?\"\n },\n {\n \"70316\": \"In what year did she receive a stem cell transplant?\"\n },\n {\n \"70317\": \"What did she inspire other to do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70303\",\n \"answer\": \"Liz and Jay Scott\"\n },\n {\n \"question_id\": \"70304\",\n \"answer\": \"she passed away in 2004\"\n },\n {\n \"question_id\": \"70305\",\n \"answer\": \"Manchester, Connecticut\"\n },\n {\n \"question_id\": \"70306\",\n \"answer\": \"$2,000\"\n },\n {\n \"question_id\": \"70307\",\n \"answer\": \"her older brother\"\n },\n {\n \"question_id\": \"70308\",\n \"answer\": \"her hospital\"\n },\n {\n \"question_id\": \"70309\",\n \"answer\": \"neuroblastoma\"\n },\n {\n \"question_id\": \"70310\",\n \"answer\": \"a type of childhood cancer\"\n },\n {\n \"question_id\": \"70311\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"70312\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"70313\",\n \"answer\": \"Patrick, Eddie, and Joey\"\n },\n {\n \"question_id\": \"70314\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70315\",\n \"answer\": \"leg braces\"\n },\n {\n \"question_id\": \"70316\",\n \"answer\": \"2000\"\n },\n {\n \"question_id\": \"70317\",\n \"answer\": \"hold their own lemonade stands and donate the earnings to charity\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI: THUNDERSTORM THE FIRST \n\n\n\nBut what had become of the 'bit of writing' which Harry Verney, by the instigation of his evil genius, had put into the squire's fly- book? Tregarva had waited in terrible suspense for many weeks, expecting the explosion which he knew must follow its discovery. He had confided to Lancelot the contents of the paper, and Lancelot had tried many stratagems to get possession of it, but all in vain. Tregarva took this as calmly as he did everything else. Only once, on the morning of the eclaircissement between Lancelot and Argemone, he talked to Lancelot of leaving his place, and going out to seek his fortune; but some spell, which he did not explain, seemed to chain him to the Priory. Lancelot thought it was the want of money, and offered to lend him ten pounds whenever he liked; but Tregarva shook his head. \n\n'You have treated me, sir, as no one else has done--like a man and a friend; but I am not going to make a market of your generosity. I will owe no man anything, save to love one another.' \n\n'But how do you intend to live?' asked Lancelot, as they stood together in the cloisters. \n\n'There's enough of me, sir, to make a good navigator if all trades fail.' \n\n'Nonsense! you must not throw yourself away so.' \n\n'Oh, sir, there's good to be done, believe me, among those poor fellows. They wander up and down the land like hogs and heathens, and no one tells them that they have a soul to be saved. Not one parson in a thousand gives a thought to them. They can manage old folks and little children, sir, but, somehow, they never can get hold of the young men--just those who want them most. There's a talk about ragged schools, now. Why don't they try ragged churches, sir, and a ragged service?' \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96914\": \"what is the title of the chapter?\"\n },\n {\n \"96915\": \"who had put a note in a book?\"\n },\n {\n \"96916\": \"whose book did he put it in?\"\n },\n {\n \"96917\": \"who was worried about it?\"\n },\n {\n \"96918\": \"had he waited long?\"\n },\n {\n \"96919\": \"what was he expecting after it was found?\"\n },\n {\n \"96920\": \"and who did he talk to about it?\"\n },\n {\n \"96921\": \"was Tregarva stressed out about this?\"\n },\n {\n \"96922\": \"how was he?\"\n },\n {\n \"96923\": \"did Lancelot manage to get the note?\"\n },\n {\n \"96924\": \"what did Tregarva was tying him to Priory?\"\n },\n {\n \"96925\": \"what did Lancelot think instead?\"\n },\n {\n \"96926\": \"was this what Tregarva wanted?\"\n },\n {\n \"96927\": \"how much did Lancelot offer him?\"\n },\n {\n \"96928\": \"who was Lancelot with when Tregarva told him?\"\n },\n {\n \"96929\": \"who was the eclaircissement between?\"\n },\n {\n \"96930\": \"what did he say he wouldn't do to his generosity?\"\n },\n {\n \"96931\": \"and what did he say about Lancelot's treatment for him?\"\n },\n {\n \"96932\": \"what did he say the fellows wander up and down as?\"\n },\n {\n \"96933\": \"does anybody think about them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"96914\",\n \"answer\": \"THUNDERSTORM THE FIRST\"\n },\n {\n \"question_id\": \"96915\",\n \"answer\": \"Harry Verney\"\n },\n {\n \"question_id\": \"96916\",\n \"answer\": \"The squire's\"\n },\n {\n \"question_id\": \"96917\",\n \"answer\": \"Tregarva\"\n },\n {\n \"question_id\": \"96918\",\n \"answer\": \"Many weeks\"\n },\n {\n \"question_id\": \"96919\",\n \"answer\": \"The explosion\"\n },\n {\n \"question_id\": \"96920\",\n \"answer\": \"Lancelot\"\n },\n {\n \"question_id\": \"96921\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"96922\",\n \"answer\": \"Calm\"\n },\n {\n \"question_id\": \"96923\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96924\",\n \"answer\": \"Some spell, which he did not explain\"\n },\n {\n \"question_id\": \"96925\",\n \"answer\": \"Want of money\"\n },\n {\n \"question_id\": \"96926\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"96927\",\n \"answer\": \"Ten pounds whenever he liked.\"\n },\n {\n \"question_id\": \"96928\",\n \"answer\": \"'They were in the cloisters.\"\n },\n {\n \"question_id\": \"96929\",\n \"answer\": \"Argemone.\"\n },\n {\n \"question_id\": \"96930\",\n \"answer\": \"Make a market of it.\"\n },\n {\n \"question_id\": \"96931\",\n \"answer\": \"he had treated as no one else has done--like a man and a friend;\"\n },\n {\n \"question_id\": \"96932\",\n \"answer\": \"Hogs and heathens,\"\n },\n {\n \"question_id\": \"96933\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Two children died Saturday in the suburbs of the Syrian capital -- not because of guns, bombs or other weapons, but because of malnutrition, activists and an opposition group said. \n\nThe two boys suffered from marasmus, a type of acute malnutrition that can very quickly lead to death if not treated, the opposition Syrian Observatory for Human Rights said. \n\nIbrahim Khalil was 4; Ammar Arafa was even younger, but his exact age wasn't known, opposition activist Ahmed Al-Muadami said from the town, Moadamiyet al-Sham, in the Damascus suburbs. \n\nMoadamiyet al-Sham was one of the areas affected by the alleged chemical weapons attack August 21. It was the first town United Nations inspectors visited this week to gather evidence about the attack and speak to the wounded. \n\nAl-Muadami said the town has been under siege by Syrian troops since last November and that the situation there is \"disastrous.\" \n\n\"We ran out of food supplies and we cannot get anything into the town,\" he said. \n\nDoctors lacked the medicine and necessary nutrients to treat the children because of the siege, the Syrian Observatory said. \n\n\"We haven't seen a piece of bread for six months now,\" said another resident, Abu Alnour. \"We went through our food supplies, local produce and cattle.\" \n\nHe said government checkpoints and snipers are blocking all the roads leading into the town and are not allowing anything in or out. The Syrian government typically calls rebels \"armed terrorists.\" \n\n\"The Red Crescent tried to send an aid shipment into the town in early July but the government forces denied them access, and that was the last aid shipment we heard about,\" Al-Muadami said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2887\": \"What did the children die of?\"\n },\n {\n \"2888\": \"What was the specific name of the disease?\"\n },\n {\n \"2889\": \"What were the names of the boys?\"\n },\n {\n \"2890\": \"What country were they in?\"\n },\n {\n \"2891\": \"What did that town run out of?\"\n },\n {\n \"2892\": \"Who tried to send in aid?\"\n },\n {\n \"2893\": \"What happened to it?\"\n },\n {\n \"2894\": \"What is blocking the roads?\"\n },\n {\n \"2895\": \"How long has it been since they've seen bread?\"\n },\n {\n \"2896\": \"What did doctors need to treat the children?\"\n },\n {\n \"2897\": \"What agency sent inspectors this week?\"\n },\n {\n \"2898\": \"To do what?\"\n },\n {\n \"2899\": \"About what?\"\n },\n {\n \"2900\": \"Who were they going to speak to?\"\n },\n {\n \"2901\": \"How long has the town been under seige>\"\n },\n {\n \"2902\": \"What does the Syrian government call rebels?\"\n },\n {\n \"2903\": \"What is the name of one resident?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2887\",\n \"answer\": \"malnutrition\"\n },\n {\n \"question_id\": \"2888\",\n \"answer\": \"marasmus\"\n },\n {\n \"question_id\": \"2889\",\n \"answer\": \"Ibrahim Khalil and Ammar Arafa\"\n },\n {\n \"question_id\": \"2890\",\n \"answer\": \"Damascus\"\n },\n {\n \"question_id\": \"2891\",\n \"answer\": \"food supplies\"\n },\n {\n \"question_id\": \"2892\",\n \"answer\": \"The Red Crescent\"\n },\n {\n \"question_id\": \"2893\",\n \"answer\": \"government forces denied them access\"\n },\n {\n \"question_id\": \"2894\",\n \"answer\": \"checkpoints and snipers are blocking all the roads\"\n },\n {\n \"question_id\": \"2895\",\n \"answer\": \"for six months\"\n },\n {\n \"question_id\": \"2896\",\n \"answer\": \"lacked the medicine and necessary nutrients\"\n },\n {\n \"question_id\": \"2897\",\n \"answer\": \"United Nations\"\n },\n {\n \"question_id\": \"2898\",\n \"answer\": \"to gather evidence\"\n },\n {\n \"question_id\": \"2899\",\n \"answer\": \"about the attack (Chemical)\"\n },\n {\n \"question_id\": \"2900\",\n \"answer\": \"to the wounded.\"\n },\n {\n \"question_id\": \"2901\",\n \"answer\": \"since last November\"\n },\n {\n \"question_id\": \"2902\",\n \"answer\": \"\\\"armed terrorists.\\\"\"\n },\n {\n \"question_id\": \"2903\",\n \"answer\": \"Abu Alnour\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Most Unusual Jobs Pet Food Tester . Yes, it's a thing and yes it's totally gross . But Mark Gooley ---the owner of a pet food company, eats dog food for a living. He eats everything from doggie treats and chewy bones to liver mixture. Teddy Bear repair Engineer When your favorite toy loses an arm, or suffers a bad injury, it is upsetting. But now you can get help in the Build-A-Bear Workshops, the teddy bear repair engineers repair your favorite teddy bears and get them back to themselves. Water slide Tester Monday morning surely seems more enjoyable if you spend your working week slipping down water slides in a theme park, especially in summer. You might also spend your lunch break on a roller coaster, eating a hot dog for lunch. Working holiday, am I right? Paint Watcher You may have heard some people say they'd \"rather watch paint dry\" than do something they don't want to do. Well, if they really mean it, the chance is there---- studying the drying time and effects of paint as a full-time job for a paint company.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69072\": \"What is considered a strange profession?\"\n },\n {\n \"69073\": \"Is it real?\"\n },\n {\n \"69074\": \"Who does it?\"\n },\n {\n \"69075\": \"Does he have a business?\"\n },\n {\n \"69076\": \"What kinds of things does he try?\"\n },\n {\n \"69077\": \"What is another strange profession?\"\n },\n {\n \"69078\": \"Where can you get them fixed?\"\n },\n {\n \"69079\": \"Who fixes them?\"\n },\n {\n \"69080\": \"What is another job like that?\"\n },\n {\n \"69081\": \"When do they test them?\"\n },\n {\n \"69082\": \"During what season?\"\n },\n {\n \"69083\": \"What do they ride?\"\n },\n {\n \"69084\": \"What do they eat?\"\n },\n {\n \"69085\": \"What is another strange thing to do?\"\n },\n {\n \"69086\": \"What do they research?\"\n },\n {\n \"69087\": \"Who do they work for?\"\n },\n {\n \"69088\": \"Is it part time?\"\n },\n {\n \"69089\": \"So it is 40 hours a week?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69072\",\n \"answer\": \"Pet Food Tester\"\n },\n {\n \"question_id\": \"69073\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69074\",\n \"answer\": \"Mark Gooley\"\n },\n {\n \"question_id\": \"69075\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69076\",\n \"answer\": \"doggie treats, chewy bones and liver mixture\"\n },\n {\n \"question_id\": \"69077\",\n \"answer\": \"Teddy Bear repair Engineer\"\n },\n {\n \"question_id\": \"69078\",\n \"answer\": \"Build-A-Bear Workshops\"\n },\n {\n \"question_id\": \"69079\",\n \"answer\": \"the teddy bear repair engineers\"\n },\n {\n \"question_id\": \"69080\",\n \"answer\": \"Water slide Tester\"\n },\n {\n \"question_id\": \"69081\",\n \"answer\": \"Monday morning\"\n },\n {\n \"question_id\": \"69082\",\n \"answer\": \"summer\"\n },\n {\n \"question_id\": \"69083\",\n \"answer\": \"roller coasters\"\n },\n {\n \"question_id\": \"69084\",\n \"answer\": \"hot dogs\"\n },\n {\n \"question_id\": \"69085\",\n \"answer\": \"Paint Watcher\"\n },\n {\n \"question_id\": \"69086\",\n \"answer\": \"drying time and effects of paint\"\n },\n {\n \"question_id\": \"69087\",\n \"answer\": \"a paint company.\"\n },\n {\n \"question_id\": \"69088\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69089\",\n \"answer\": \"it's a full-time job\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI \n\nA CALL FROM THE STERN \n\nFor the instant after Tom slipped over the side of the _Golden Wave_, Dan Baxter was too dazed to do more than stare at the spot where he had last seen the boy with whom he had been struggling. \n\n\"Gone!\" he muttered presently. \"Gone!\" he repeated and crouched back in the darkness. \n\nThe great beads of perspiration came to his brow as he heard rapid footsteps approaching. Would he be accused of sending Tom Rover to his death? \n\n\"What's the trouble?\" came in the voice of Captain Blossom. \n\nInstead of answering, Dan Baxter crept still further back. Then, watching his chance, he darted into the forecastle. \n\n\"Hullo, the rail is broken!\" he heard the captain exclaim. \"Bring a lantern here, quick!\" \n\nA sailor came running with a lantern, which lit up the narrow circle of the deck near the rail and part of the sea beyond. \n\n\"Somebody gave a cry,\" said the captain, to those who began to gather. \"Looks to me as if the rail gave way and let somebody overboard.\" \n\n\"Tom Rover was on deck,\" came from old Jerry. \"Do you reckon as how it was him?\" \n\n\"I don't know. It was somebody, that's certain. Call all hands at once.\" \n\nThis was done, and Dan Baxter had to come out with the rest. He was pale and trembled so he could scarcely stand. \n\n\"All here,\" said Captain Blossom. \"Must have been one of the Rover boys or one of the young ladies.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45384\": \"What is broken?\"\n },\n {\n \"45385\": \"who went over the side?\"\n },\n {\n \"45386\": \"Surname?\"\n },\n {\n \"45387\": \"Who said he had been on deck?\"\n },\n {\n \"45388\": \"is he a young man?\"\n },\n {\n \"45389\": \"who was examining the rail?\"\n },\n {\n \"45390\": \"what's his ship's name?\"\n },\n {\n \"45391\": \"Why was Dan sweating?\"\n },\n {\n \"45392\": \"why was that bad?\"\n },\n {\n \"45393\": \"what did the capt need to see?\"\n },\n {\n \"45394\": \"after the lantern, what else did the capt want on deck?\"\n },\n {\n \"45395\": \"were any missing?\"\n },\n {\n \"45396\": \"which 2 groups must be missing someone?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"45384\",\n \"answer\": \"the rai\"\n },\n {\n \"question_id\": \"45385\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"45386\",\n \"answer\": \"Rover\"\n },\n {\n \"question_id\": \"45387\",\n \"answer\": \"Jerry\"\n },\n {\n \"question_id\": \"45388\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45389\",\n \"answer\": \"the captain\"\n },\n {\n \"question_id\": \"45390\",\n \"answer\": \"Golden Wave\"\n },\n {\n \"question_id\": \"45391\",\n \"answer\": \"he heard footsteps approaching\"\n },\n {\n \"question_id\": \"45392\",\n \"answer\": \"he would be accused of killing Tom\"\n },\n {\n \"question_id\": \"45393\",\n \"answer\": \"all hands\"\n },\n {\n \"question_id\": \"45394\",\n \"answer\": \"all hands\"\n },\n {\n \"question_id\": \"45395\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"45396\",\n \"answer\": \"the Rover boys or the young ladies.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter Twenty-One \n\nThe Three Adepts \n\nThe Sorceress looked up from her work as the three maidens entered, and something in their appearance and manner led her to rise and bow to them in her most dignified manner. The three knelt an instant before the great Sorceress and then stood upright and waited for her to speak. \n\n\"Whoever you may be,\" said Glinda, \"I bid you welcome.\" \n\n\"My name is Audah,\" said one. \n\n\"My name is Aurah,\" said another. \n\n\"My name is Aujah,\" said the third. \n\nGlinda had never heard these names before, but looking closely at the three she asked: \n\n\"Are you witches or workers in magic?\" \n\n\"Some of the secret arts we have gleaned from Nature,\" replied the brownhaired maiden modestly, \"but we do not place our skill beside that of the Great Sorceress, Glinda the Good.\" \n\n\"I suppose you are aware it is unlawful to practice magic in the Land of Oz, without the permission of our Ruler, Princess Ozma?\" \n\n\"No, we were not aware of that,\" was the reply. \"We have heard of Ozma, who is the appointed Ruler of all this great fairyland, but her laws have not reached us, as yet.\" \n\nGlinda studied the strange maidens thoughtfully; then she said to them: \n\n\"Princess Ozma is even now imprisoned in the Skeezer village, for the whole island with its Great Dome, was sunk to the bottom of the lake by the witchcraft of Coo-ee-oh, whom the Flathead Su-dic transformed into a silly swan. I am seeking some way to overcome Coo-ee-oh's magic and raise the isle to the surface again. Can you help me do this?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63597\": \"How many adepts were there?\"\n },\n {\n \"63598\": \"What was the first one's name?\"\n },\n {\n \"63599\": \"And the second?\"\n },\n {\n \"63600\": \"What about the last?\"\n },\n {\n \"63601\": \"Who had never heard their names before?\"\n },\n {\n \"63602\": \"Were they boys or girls?\"\n },\n {\n \"63603\": \"Did they show Glinda any respect?\"\n },\n {\n \"63604\": \"How?\"\n },\n {\n \"63605\": \"Who spoke first?\"\n },\n {\n \"63606\": \"Where did the maidens glean secret arts?\"\n },\n {\n \"63607\": \"Did one of them have blonde hair?\"\n },\n {\n \"63608\": \"What color, then?\"\n },\n {\n \"63609\": \"Is Glinda thought to be good or bad?\"\n },\n {\n \"63610\": \"Is the a medicore sorceress or pretty decent?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"63597\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"63598\",\n \"answer\": \"Audah\"\n },\n {\n \"question_id\": \"63599\",\n \"answer\": \"Aurah\"\n },\n {\n \"question_id\": \"63600\",\n \"answer\": \"Aujah\"\n },\n {\n \"question_id\": \"63601\",\n \"answer\": \"Glinda\"\n },\n {\n \"question_id\": \"63602\",\n \"answer\": \"girls\"\n },\n {\n \"question_id\": \"63603\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"63604\",\n \"answer\": \"The three knelt\"\n },\n {\n \"question_id\": \"63605\",\n \"answer\": \"Glinda\"\n },\n {\n \"question_id\": \"63606\",\n \"answer\": \"Nature\"\n },\n {\n \"question_id\": \"63607\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"63608\",\n \"answer\": \"brownhaired\"\n },\n {\n \"question_id\": \"63609\",\n \"answer\": \"Good\"\n },\n {\n \"question_id\": \"63610\",\n \"answer\": \"great\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Vatican Apostolic Library (), more commonly called the Vatican Library or simply the Vat, is the library of the Holy See, located in Vatican City. Formally established in 1475, although it is much older, it is one of the oldest libraries in the world and contains one of the most significant collections of historical texts. It has 75,000 codices from throughout history, as well as 1.1 million printed books, which include some 8,500 incunabula. \n\nThe Vatican Library is a research library for history, law, philosophy, science and theology. The Vatican Library is open to anyone who can document their qualifications and research needs. Photocopies for private study of pages from books published between 1801 and 1990 can be requested in person or by mail. \n\nIn March 2014, the Vatican Library began an initial four-year project of digitising its collection of manuscripts, to be made available online. \n\nThe Vatican Secret Archives were separated from the library at the beginning of the 17th century; they contain another 150,000 items. \n\nScholars have traditionally divided the history of the library into five periods, Pre-Lateran, Lateran, Avignon, Pre-Vatican and Vatican. \n\nThe Pre-Lateran period, comprising the initial days of the library, dated from the earliest days of the Church. Only a handful of volumes survive from this period, though some are very significant.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55372\": \"When was the Vat formally opened?\"\n },\n {\n \"55373\": \"what is the library for?\"\n },\n {\n \"55374\": \"for what subjects?\"\n },\n {\n \"55375\": \"and?\"\n },\n {\n \"55376\": \"what was started in 2014?\"\n },\n {\n \"55377\": \"how do scholars divide the library?\"\n },\n {\n \"55378\": \"how many?\"\n },\n {\n \"55379\": \"what is the official name of the Vat?\"\n },\n {\n \"55380\": \"where is it?\"\n },\n {\n \"55381\": \"how many printed books does it contain?\"\n },\n {\n \"55382\": \"when were the Secret Archives moved from the rest of the library?\"\n },\n {\n \"55383\": \"how many items are in this secret collection?\"\n },\n {\n \"55384\": \"Can anyone use this library?\"\n },\n {\n \"55385\": \"what must be requested to view?\"\n },\n {\n \"55386\": \"what must be requested in person or by mail?\"\n },\n {\n \"55387\": \"of what books?\"\n },\n {\n \"55388\": \"What is the Vat the library of?\"\n },\n {\n \"55389\": \"How many books survived the Pre Lateran period?\"\n },\n {\n \"55390\": \"what is the point of the project started in 2014?\"\n },\n {\n \"55391\": \"what will this allow?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55372\",\n \"answer\": \"It was formally established in 1475\"\n },\n {\n \"question_id\": \"55373\",\n \"answer\": \"research\"\n },\n {\n \"question_id\": \"55374\",\n \"answer\": \"history, and law\"\n },\n {\n \"question_id\": \"55375\",\n \"answer\": \"philosophy, science and theology\"\n },\n {\n \"question_id\": \"55376\",\n \"answer\": \"a project\"\n },\n {\n \"question_id\": \"55377\",\n \"answer\": \"into periods\"\n },\n {\n \"question_id\": \"55378\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"55379\",\n \"answer\": \"The Vatican Apostolic Library\"\n },\n {\n \"question_id\": \"55380\",\n \"answer\": \"in Vatican City\"\n },\n {\n \"question_id\": \"55381\",\n \"answer\": \"1.1 million\"\n },\n {\n \"question_id\": \"55382\",\n \"answer\": \"at the beginning of the 17th century;\"\n },\n {\n \"question_id\": \"55383\",\n \"answer\": \"150,000\"\n },\n {\n \"question_id\": \"55384\",\n \"answer\": \"anyone who can document their qualifications and research needs.\"\n },\n {\n \"question_id\": \"55385\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"55386\",\n \"answer\": \"Photocopies\"\n },\n {\n \"question_id\": \"55387\",\n \"answer\": \"only books published between 1801 and 1990\"\n },\n {\n \"question_id\": \"55388\",\n \"answer\": \"the Holy See\"\n },\n {\n \"question_id\": \"55389\",\n \"answer\": \"a handful of volumes\"\n },\n {\n \"question_id\": \"55390\",\n \"answer\": \"digitising manuscripts\"\n },\n {\n \"question_id\": \"55391\",\n \"answer\": \"them to be viewed online.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Eric and Doris King Turner are packing their bags for New Zealand. They're busy deciding what to pack and what to leave behind in Britain and are making plans to extend their new home in Nelson. Doris is looking forward to getting the garden into shape and Eric has his heart set on a spot of fly fishing. The difference is that Eric is 102, Doris is 87. Eric thinks he's Britain's oldest _ \n\nIn January next year Eric King Turner and his wife of 12 years will wave goodbye to their neighbors, and set sail from Southampton on the voyage of a lifetime. The ocean liner Saga Rose will take six weeks to get to Auckland and the couple are expecting a red-carpet welcome from family. \n\nDoris was born in New Zealand but gave up her homeland when the couple met and married in the late 1990s. But New Zealand is close to both their hearts and the attraction of family and friends, and the good fishing helped to persuade them to move. \n\nDoris, who has five children and nine grandchildren, supported her husband's application to settle in New Zealand. The paperwork took five months. Eric says, \"We not only had to produce a marriage certificate but we had to produce evidence that we were in a long and stable relationship!\" He also said he was not asked about his age but had to show that he could support himself financially in New Zealand. \n\n\"I like New Zealand. The way of life is very much the same as it is here but it is not so crowded.\" His wife has always been \"a little bit homesick\" but has never complained. Now the couple are in the middle of the task of sorting out possessions and selling their flat.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5768\": \"What are the names of the couple in the story?\"\n },\n {\n \"5769\": \"Where are they heading to live?\"\n },\n {\n \"5770\": \"Where are they currently living?\"\n },\n {\n \"5771\": \"What are they expecting from their family?\"\n },\n {\n \"5772\": \"How long have they been married for?\"\n },\n {\n \"5773\": \"What are their ages?\"\n },\n {\n \"5774\": \"How many children do they have?\"\n },\n {\n \"5775\": \"From the both of them, who was born in New Zealand?\"\n },\n {\n \"5776\": \"How long did the paperwork take?\"\n },\n {\n \"5777\": \"How many grandchildren do they have?\"\n },\n {\n \"5778\": \"Were they asked for an evidence to prove that they're in a stable relationship?\"\n },\n {\n \"5779\": \"Was Eric asked his age?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5768\",\n \"answer\": \"Eric and Doris King Turner\"\n },\n {\n \"question_id\": \"5769\",\n \"answer\": \"Nelson\"\n },\n {\n \"question_id\": \"5770\",\n \"answer\": \"Britain\"\n },\n {\n \"question_id\": \"5771\",\n \"answer\": \"a red-carpet welcome\"\n },\n {\n \"question_id\": \"5772\",\n \"answer\": \"next year, 12 years\"\n },\n {\n \"question_id\": \"5773\",\n \"answer\": \"Eric is 102, Doris is 87\"\n },\n {\n \"question_id\": \"5774\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"5775\",\n \"answer\": \"Doris\"\n },\n {\n \"question_id\": \"5776\",\n \"answer\": \"five months\"\n },\n {\n \"question_id\": \"5777\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"5778\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5779\",\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 VI. \n\n\n\nA drooping daisy changed into a cup, In which her bright-eyed beauty is shut up. WORDSWORTH. \n\n\"So there you are up for the day--really you look very comfortable,\" said Ethel, coming into the room where Margaret lay on her bed, half-raised by pillows, supported by a wooden frame. \n\n\"Yes, is not it a charming contrivance of Richard's? It quite gives me the use of my hands,\" said Margaret. \n\n\"I think he is doing something else for you,\" said Ethel; \"I heard him carpentering at six o'clock this morning, but I suppose it is to be a secret.\" \n\n\"And don't you admire her night-cap?\" said Flora. \n\n\"Is it anything different?\" said Ethel, peering closer. \"Oh, I see--so she has a fine day night-cap. Is that your taste, Flora?\" \n\n\"Partly,\" said Margaret, \"and partly my own. I put in all these little white puffs, and I hope you think they do me credit. Wasn't it grand of me?\" \n\n\"She only despises you for them,\" said Flora. \n\n\"I'm very glad you could,\" said Ethel, gravely; \"but do you know? it is rather like that horrid old lady in some book, who had a paralytic stroke, and the first thing she did that showed she had come to her senses was to write, 'Rose-coloured curtains for the doctors.'\" \n\n\"Well, it was for the doctor,\" said Margaret, \"and it had its effect. He told me I looked much better when he found me trying it on.\" \n\n\"And did you really have the looking-glass and try it on?\" cried Ethel. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48076\": \"What time did Ethel hear someone woodworking?\"\n },\n {\n \"48077\": \"What was Margaret doing in her room?\"\n },\n {\n \"48078\": \"What was it held up by?\"\n },\n {\n \"48079\": \"Was Margaret going to bed?\"\n },\n {\n \"48080\": \"What did Margaret add to the night-cap?\"\n },\n {\n \"48081\": \"Was she proud of herself for doing so?\"\n },\n {\n \"48082\": \"Who had a stroke?\"\n },\n {\n \"48083\": \"Where was she from?\"\n },\n {\n \"48084\": \"What is the 1st thing she did when she came around?\"\n },\n {\n \"48085\": \"What did the Dr. think of the night-cap?\"\n },\n {\n \"48086\": \"Did she just show it to him?\"\n },\n {\n \"48087\": \"What was she doing with it?\"\n },\n {\n \"48088\": \"Did Ethel press her on this?\"\n },\n {\n \"48089\": \"What did Margaret gain use of?\"\n },\n {\n \"48090\": \"Who thought Richard was doing something else besides wordworking?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"48076\",\n \"answer\": \"six o'clock this morning,\"\n },\n {\n \"question_id\": \"48077\",\n \"answer\": \"laying on her bed\"\n },\n {\n \"question_id\": \"48078\",\n \"answer\": \"by pillows, supported by a wooden frame.\"\n },\n {\n \"question_id\": \"48079\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"48080\",\n \"answer\": \"little white puffs\"\n },\n {\n \"question_id\": \"48081\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48082\",\n \"answer\": \"horrid old lady\"\n },\n {\n \"question_id\": \"48083\",\n \"answer\": \"in some book\"\n },\n {\n \"question_id\": \"48084\",\n \"answer\": \"write, 'Rose-coloured curtains for the doctors\"\n },\n {\n \"question_id\": \"48085\",\n \"answer\": \"He told her she looked much better\"\n },\n {\n \"question_id\": \"48086\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48087\",\n \"answer\": \"trying it on\"\n },\n {\n \"question_id\": \"48088\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"48089\",\n \"answer\": \"her hands\"\n },\n {\n \"question_id\": \"48090\",\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 François-Marie Arouet (; 21 November 1694 – 30 May 1778), known by his \"nom de plume\" Voltaire, was a French Enlightenment writer, historian, and philosopher famous for his wit, his attacks on the established Catholic Church, and his advocacy of freedom of religion, freedom of speech, and separation of church and state. \n\nVoltaire was a versatile and prolific writer, producing works in almost every literary form, including plays, poems, novels, essays, and historical and scientific works. He wrote more than 20,000 letters and more than 2,000 books and pamphlets. He was an outspoken advocate of civil liberties, despite the risk this placed him in under the strict censorship laws of the time. As a satirical polemicist, he frequently made use of his works to criticize intolerance, religious dogma, and the French institutions of his day. \n\nFrançois-Marie Arouet was born in Paris, the youngest of the five children of François Arouet (19 August 1649 – 1 January 1722), a lawyer who was a minor treasury official, and his wife, Marie Marguerite Daumard (c. 1660 – 13 July 1701), whose family was on the lowest rank of the French nobility. Some speculation surrounds Voltaire's date of birth, because he claimed he was born on 20 February 1694 as the illegitimate son of a nobleman, Guérin de Rochebrune or Roquebrune. Two of his older brothers—Armand-François and Robert—died in infancy and his surviving brother, Armand, and sister Marguerite-Catherine were nine and seven years older, respectively. Nicknamed 'Zozo' by his family, Voltaire was baptized on 22 November 1694, with , and Marie Daumard, the wife of his mother's cousin, standing as godparents. He was educated by the Jesuits at the Collège Louis-le-Grand (1704–1711), where he was taught Latin, theology, and rhetoric; later in life he became fluent in Italian, Spanish, and English.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66899\": \"Was this writer's mother of high ranking birth?\"\n },\n {\n \"66900\": \"What is this writers birth name?\"\n },\n {\n \"66901\": \"and his nickname?\"\n },\n {\n \"66902\": \"was he a lazy writer?\"\n },\n {\n \"66903\": \"about how many paper communications did he send to others?\"\n },\n {\n \"66904\": \"what about works that were published?\"\n },\n {\n \"66905\": \"when was he born?\"\n },\n {\n \"66906\": \"what about his mom?\"\n },\n {\n \"66907\": \"when did she die?\"\n },\n {\n \"66908\": \"how old was he when she died?\"\n },\n {\n \"66909\": \"did he insist he had different parentage?\"\n },\n {\n \"66910\": \"what was something for which he advocated?\"\n },\n {\n \"66911\": \"what church did he criticize in his writings?\"\n },\n {\n \"66912\": \"did he want them to be involved in government?\"\n },\n {\n \"66913\": \"what was the nickname his family gave him?\"\n },\n {\n \"66914\": \"who was his godmother?\"\n },\n {\n \"66915\": \"who was she married to?\"\n },\n {\n \"66916\": \"where did he go to school?\"\n },\n {\n \"66917\": \"during which years?\"\n },\n {\n \"66918\": \"did he only speak one language?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66899\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66900\",\n \"answer\": \"Fran\\u00e7ois-Marie Arouet\"\n },\n {\n \"question_id\": \"66901\",\n \"answer\": \"Voltaire\"\n },\n {\n \"question_id\": \"66902\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"66903\",\n \"answer\": \"20,000\"\n },\n {\n \"question_id\": \"66904\",\n \"answer\": \"2,000\"\n },\n {\n \"question_id\": \"66905\",\n \"answer\": \"21 November 1694\"\n },\n {\n \"question_id\": \"66906\",\n \"answer\": \"1660\"\n },\n {\n \"question_id\": \"66907\",\n \"answer\": \"13 July 1701\"\n },\n {\n \"question_id\": \"66908\",\n \"answer\": \"About 40\"\n },\n {\n \"question_id\": \"66909\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66910\",\n \"answer\": \"civil liberties\"\n },\n {\n \"question_id\": \"66911\",\n \"answer\": \"Catholic Church\"\n },\n {\n \"question_id\": \"66912\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66913\",\n \"answer\": \"'Zozo\"\n },\n {\n \"question_id\": \"66914\",\n \"answer\": \"Marie Daumard\"\n },\n {\n \"question_id\": \"66915\",\n \"answer\": \"his mother's cousin\"\n },\n {\n \"question_id\": \"66916\",\n \"answer\": \"Coll\\u00e8ge Louis-le-Grand\"\n },\n {\n \"question_id\": \"66917\",\n \"answer\": \"1704\\u20131711\"\n },\n {\n \"question_id\": \"66918\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Sammy loved playing baseball. He would play every day, even if there was no practice that day! One day, Sammy went to the park with his mom to play catch with his friends, but as he was playing, he tripped over a rock, and his shoe slipped off! His shoe went flying into the air, high up into the sky, and Sammy watched as the shoe fell into old man Mr. Grumpy's yard. What was he going to do? His mom sat on a bench not too far away, reading a book. \"Should I tell Mom?\" Sammy thought to himself. He thought that maybe he shouldn't, because he might get in trouble. Instead, he was going to climb the fence into Mr. Grumpy's yard! \"What, are you crazy?\" Sammy's friend Billy said when he told him what he was going to do. Billy didn't seem to like the idea. \"Mr. Grumpy is a mean old man, and he'll yell at you for sure. I think you need to tell your mom!\" With that, Billy ran off to tell Sammy's mom! Sammy ran after Billy, trying to get him to stop, but Billy told the whole story before Sammy could get there. After Sammy's mom heard the story, she took Sammy by the hand and said, \"Come on, Sammy, let's go get your shoe!\" Sammy was worried. What was she going to do? Sammy's mom took him straight to mean old Mr. Grumpy's door, and knocked on it. \"Oh no!\" thought Sammy, \"He's going to yell at me!\" But the man who opened the door was a nice old man, and he smiled at little Sammy, and let them get his shoe. That's when Sammy learned that it's always better to be honest.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3830\": \"What sport did Sammy love to play?\"\n },\n {\n \"3831\": \"How often did he play?\"\n },\n {\n \"3832\": \"Who went to the park with him?\"\n },\n {\n \"3833\": \"Who did he play catch with?\"\n },\n {\n \"3834\": \"What did he trip over?\"\n },\n {\n \"3835\": \"What slipped off?\"\n },\n {\n \"3836\": \"Where did it land?\"\n },\n {\n \"3837\": \"Where was his mom?\"\n },\n {\n \"3838\": \"What was she doing?\"\n },\n {\n \"3839\": \"Why didn't he want to tell his mom about his shoe?\"\n },\n {\n \"3840\": \"who is his friend?\"\n },\n {\n \"3841\": \"How was he planning to get his shoe back?\"\n },\n {\n \"3842\": \"Did Billy think this was a good idea?\"\n },\n {\n \"3843\": \"What did he think Sammy should do?\"\n },\n {\n \"3844\": \"Who told Sammys mom?\"\n },\n {\n \"3845\": \"What did she do?\"\n },\n {\n \"3846\": \"Was Sammy worried?\"\n },\n {\n \"3847\": \"What did he think Mr. Grumpy would do?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3830\",\n \"answer\": \"baseball\"\n },\n {\n \"question_id\": \"3831\",\n \"answer\": \"every day\"\n },\n {\n \"question_id\": \"3832\",\n \"answer\": \"his mom\"\n },\n {\n \"question_id\": \"3833\",\n \"answer\": \"his friends\"\n },\n {\n \"question_id\": \"3834\",\n \"answer\": \"a rock\"\n },\n {\n \"question_id\": \"3835\",\n \"answer\": \"his shoe\"\n },\n {\n \"question_id\": \"3836\",\n \"answer\": \"old man Mr. Grumpy's yard\"\n },\n {\n \"question_id\": \"3837\",\n \"answer\": \"on a bench\"\n },\n {\n \"question_id\": \"3838\",\n \"answer\": \"reading a book\"\n },\n {\n \"question_id\": \"3839\",\n \"answer\": \"because he might get in trouble\"\n },\n {\n \"question_id\": \"3840\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"3841\",\n \"answer\": \"climb the fence into Mr. Grumpy's yard\"\n },\n {\n \"question_id\": \"3842\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3843\",\n \"answer\": \"tell Sammy's mom\"\n },\n {\n \"question_id\": \"3844\",\n \"answer\": \"Billy\"\n },\n {\n \"question_id\": \"3845\",\n \"answer\": \"She took him to Mr. Grumpy's door\"\n },\n {\n \"question_id\": \"3846\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3847\",\n \"answer\": \"Mr. Grumpy would yell\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Barefoot and covered in dirt and sweat, 14-year-old Dante Campilan pulls weeds from orderly rows of sugar cane. \n\nWearing an oversized red cap to protect him from the scorching Philippine sun, Dante is doing work that should be reserved for men, not children. \n\nEarning 150 pesos ($3.50) for a seven-hour day, Dante has been a child laborer in the Philippine region of Mindanao since he was seven years old. He says he does it to help his parents, but he is just one of many children who are part of an illegal economic system of child labor. \n\nThe International Labor Organization (ILO) estimates 2.4 million child workers are in the Philippines. Many of them, according to the ILO, are in rural areas working in fields and mines. The organization estimates 60% work in hazardous conditions. \n\nAlongside Dante is 13-year-old Alvic James, who dropped out of school when he was in the first grade. Back then, he explained, his family didn't have enough money to eat. Alvic says he wants to learn to read and write but because he is needed in the fields he has no time to go to school. \n\nWhen the boys turn 15 or 16, they'll move on to the more hazardous job of cutting sugar cane. That's currently the job of 16-year-old Elmar Paran, who hasn't been to school since he was a young child, sentencing him to a future in the fields. \n\nThe use of child laborers in the sugar fields of Northern Mindanao is so common that landowner Angeles Penda shrugs it off as a way of life. \"The parents beg us to include their children to work,\" she said. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77065\": \"What country is responsible for exploiting a 14 year old?\"\n },\n {\n \"77066\": \"What are his earnings or a full work day?\"\n },\n {\n \"77067\": \"How many children are estimated to be working in the Philippines?\"\n },\n {\n \"77068\": \"What type of work does he do?\"\n },\n {\n \"77069\": \"Why does he do it?\"\n },\n {\n \"77070\": \"What is expected of them by the time the boys turn 15 or 16?\"\n },\n {\n \"77071\": \"What region of Philippines is responsible for sugar cane work for children?\"\n },\n {\n \"77072\": \"When did Alvic drop out of school?\"\n },\n {\n \"77073\": \"Why did Alvic do it?\"\n },\n {\n \"77074\": \"And what does he want to learn?\"\n },\n {\n \"77075\": \"Why doesn't he know yet?\"\n },\n {\n \"77076\": \"What is the name of sugar landowner in Northern Mindanao?\"\n },\n {\n \"77077\": \"What's her excuse for using children for labor?\"\n },\n {\n \"77078\": \"Who is covering this report?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77065\",\n \"answer\": \"the Philippines\"\n },\n {\n \"question_id\": \"77066\",\n \"answer\": \"150 pesos\"\n },\n {\n \"question_id\": \"77067\",\n \"answer\": \"2.4 million\"\n },\n {\n \"question_id\": \"77068\",\n \"answer\": \"pulls weeds\"\n },\n {\n \"question_id\": \"77069\",\n \"answer\": \"to help his parents\"\n },\n {\n \"question_id\": \"77070\",\n \"answer\": \"They'll move on to cutting sugar cane\"\n },\n {\n \"question_id\": \"77071\",\n \"answer\": \"Mindanao\"\n },\n {\n \"question_id\": \"77072\",\n \"answer\": \"In the first grade\"\n },\n {\n \"question_id\": \"77073\",\n \"answer\": \"His family didn't have enough money to eat.\"\n },\n {\n \"question_id\": \"77074\",\n \"answer\": \"to read and write\"\n },\n {\n \"question_id\": \"77075\",\n \"answer\": \"he has no time to go to school\"\n },\n {\n \"question_id\": \"77076\",\n \"answer\": \"Angeles Penda\"\n },\n {\n \"question_id\": \"77077\",\n \"answer\": \"The parents beg us to include their children to work\"\n },\n {\n \"question_id\": \"77078\",\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 Molly likes animals. She has a cat. She has a dog. She has a bird. She has a hamster. She has a bunny. Her cat's name is Kitty. Her dog's name is Spike. Her bird's name is Polly. Her hamster's name is Barry. Her bunny's name is Snowball. Kitty plays with yarn. Spike plays with a ball. Polly plays in her cage. Barry runs on his wheel. Snowball eats carrots.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52752\": \"What is Molly's Bunny's name?\"\n },\n {\n \"52753\": \"Does she hate animals?\"\n },\n {\n \"52754\": \"What does he call her dog?\"\n },\n {\n \"52755\": \"Does she have any pets with feathers?\"\n },\n {\n \"52756\": \"What's her cat's name?\"\n },\n {\n \"52757\": \"Does she have any rodents?\"\n },\n {\n \"52758\": \"What kind?\"\n },\n {\n \"52759\": \"What does her puppy play with?\"\n },\n {\n \"52760\": \"What's the feathered one's name?\"\n },\n {\n \"52761\": \"Where does it play?\"\n },\n {\n \"52762\": \"Who is snowball?\"\n },\n {\n \"52763\": \"What does snowball like?\"\n },\n {\n \"52764\": \"What's the rodent's name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52752\",\n \"answer\": \"Her bunny's name is Snowball\"\n },\n {\n \"question_id\": \"52753\",\n \"answer\": \"Molly likes animals\"\n },\n {\n \"question_id\": \"52754\",\n \"answer\": \"Spike\"\n },\n {\n \"question_id\": \"52755\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52756\",\n \"answer\": \"Kitty\"\n },\n {\n \"question_id\": \"52757\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52758\",\n \"answer\": \"hamster\"\n },\n {\n \"question_id\": \"52759\",\n \"answer\": \"a ball\"\n },\n {\n \"question_id\": \"52760\",\n \"answer\": \"Polly\"\n },\n {\n \"question_id\": \"52761\",\n \"answer\": \"in her cage\"\n },\n {\n \"question_id\": \"52762\",\n \"answer\": \"Her bunny\"\n },\n {\n \"question_id\": \"52763\",\n \"answer\": \"a bunny\"\n },\n {\n \"question_id\": \"52764\",\n \"answer\": \"Barry\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nMrs Dale's Little Party \n\nThe next day was the day of the party. Not a word more was said on that evening between Bell and her cousin, at least, not a word more of any peculiar note; and when Crosbie suggested to his friend on the following morning that they should both step down and see how the preparations were getting on at the Small House, Bernard declined. \n\n\"You forget, my dear fellow, that I'm not in love as you are,\" said he. \n\n\"But I thought you were,\" said Crosbie. \n\n\"No; not at all as you are. You are an accepted lover, and will be allowed to do anything,--whip the creams, and tune the piano, if you know how. I'm only a half sort of lover, meditating a _mariage de convenance_ to oblige an uncle, and by no means required by the terms of my agreement to undergo a very rigid amount of drill. Your position is just the reverse.\" In saying all which Captain Dale was no doubt very false; but if falseness can be forgiven to a man in any position, it may be forgiven in that which he then filled. So Crosbie went down to the Small House alone. \n\n\"Dale wouldn't come,\" said he, speaking to the three ladies together, \"I suppose he's keeping himself up for the dance on the lawn.\" \n\n\"I hope he will be here in the evening,\" said Mrs Dale. But Bell said never a word. She had determined, that under the existing circumstances, it would be only fair to her cousin that his offer and her answer to it should be kept secret. She knew why Bernard did not come across from the Great House with his friend, but she said nothing of her knowledge. Lily looked at her, but looked without speaking; and as for Mrs Dale, she took no notice of the circumstance. Thus they passed the afternoon together without further mention of Bernard Dale; and it may be said, at any rate of Lily and Crosbie, that his presence was not missed. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52718\": \"What was happening the next day?\"\n },\n {\n \"52719\": \"Who did not speak on that evening?\"\n },\n {\n \"52720\": \"Who didn't want to check on the Small House?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"52718\",\n \"answer\": \"a party\"\n },\n {\n \"question_id\": \"52719\",\n \"answer\": \"Bell and her cousin\"\n },\n {\n \"question_id\": \"52720\",\n \"answer\": \"Bernard\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A database management system (DBMS) is a computer software application that interacts with the user, other applications, and the database itself to capture and analyze data. A general-purpose DBMS is designed to allow the definition, creation, querying, update, and administration of databases. Well-known DBMSs include MySQL, PostgreSQL, Microsoft SQL Server, Oracle, Sybase, SAP HANA, and IBM DB2. A database is not generally portable across different DBMSs, but different DBMS can interoperate by using standards such as SQL and ODBC or JDBC to allow a single application to work with more than one DBMS. Database management systems are often classified according to the database model that they support; the most popular database systems since the 1980s have all supported the relational model as represented by the SQL language.[disputed – discuss] Sometimes a DBMS is loosely referred to as a 'database'. \n\nFormally, a \"database\" refers to a set of related data and the way it is organized. Access to these data is usually provided by a \"database management system\" (DBMS) consisting of an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database (although restrictions may exist that limit access to particular data). The DBMS provides various functions that allow entry, storage and retrieval of large quantities of information and provides ways to manage how that information is organized.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82443\": \"What's a DBMS?\"\n },\n {\n \"82444\": \"And what does it stand for?\"\n },\n {\n \"82445\": \"What did \\\"database\\\" use to mean?\"\n },\n {\n \"82446\": \"What is one well-known DBMS?\"\n },\n {\n \"82447\": \"What is another?\"\n },\n {\n \"82448\": \"How many are in total?\"\n },\n {\n \"82449\": \"Name one of the standards used to interoperate DBMSs?\"\n },\n {\n \"82450\": \"Name another?\"\n },\n {\n \"82451\": \"Can you remember another popular DBMS?\"\n },\n {\n \"82452\": \"One more maybe?\"\n },\n {\n \"82453\": \"How are Database management systems generally classified?\"\n },\n {\n \"82454\": \"What is the point of interoperating standards?\"\n },\n {\n \"82455\": \"Name one thing provided by DBMS functions?\"\n },\n {\n \"82456\": \"Can you name another?\"\n },\n {\n \"82457\": \"Is this for small bits of info?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"82443\",\n \"answer\": \"a computer software application that interacts with the user\"\n },\n {\n \"question_id\": \"82444\",\n \"answer\": \"database management system\"\n },\n {\n \"question_id\": \"82445\",\n \"answer\": \"a set of related data and the way it is organized\"\n },\n {\n \"question_id\": \"82446\",\n \"answer\": \"MySQL\"\n },\n {\n \"question_id\": \"82447\",\n \"answer\": \"PostgreSQL\"\n },\n {\n \"question_id\": \"82448\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"82449\",\n \"answer\": \"SQL\"\n },\n {\n \"question_id\": \"82450\",\n \"answer\": \"JDBC\"\n },\n {\n \"question_id\": \"82451\",\n \"answer\": \"Microsoft SQL Server\"\n },\n {\n \"question_id\": \"82452\",\n \"answer\": \"Oracle\"\n },\n {\n \"question_id\": \"82453\",\n \"answer\": \"according to the database model\"\n },\n {\n \"question_id\": \"82454\",\n \"answer\": \"to allow a single application to work with more than one DBMS\"\n },\n {\n \"question_id\": \"82455\",\n \"answer\": \"allow entry\"\n },\n {\n \"question_id\": \"82456\",\n \"answer\": \"to manage how that information is organized\"\n },\n {\n \"question_id\": \"82457\",\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 In grammar, genitive (abbreviated ; also called the possessive case or second case) is the grammatical case that marks a noun as modifying another noun. It often marks a noun as being the possessor of another noun. However, it can also indicate various relationships other than possession: certain verbs may take arguments in the genitive case, and it may have adverbial uses (\"see\" Adverbial genitive). \n\nPlacing the modifying noun in the genitive case is one way to indicate that two nouns are related in a genitive construction. Modern English typically does not morphologically mark nouns for a genitive case in order to indicate a genitive construction; instead, it uses either the \"\" clitic or a preposition (usually \"of\"). However, the personal pronouns do have distinct possessive forms. There are various other ways to indicate a genitive construction, as well. For example, many Afroasiatic languages place the head noun (rather than the modifying noun) in the construct state. \n\nMany languages have a genitive case, including Albanian, Arabic, Armenian, Basque, Dutch, Estonian, Finnish, Georgian, German, Greek, Icelandic, Irish, Latin, Latvian, Lithuanian, Romanian, Sanskrit, Scottish Gaelic, Tamil, Telugu, Turkish and all Slavic languages except Bulgarian and Macedonian. English does not have a proper genitive case, but a possessive ending, \"’s\", although some pronouns have irregular possessive forms which may more commonly be described as genitives; see English possessive.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33618\": \"Does more than one language have a genitive case?\"\n },\n {\n \"33619\": \"How many?\"\n },\n {\n \"33620\": \"Does English?\"\n },\n {\n \"33621\": \"How about Bulgarian?\"\n },\n {\n \"33622\": \"What does English use to indicate a genitive construction?\"\n },\n {\n \"33623\": \"Does this case mark a noun as modifying another noun?\"\n },\n {\n \"33624\": \"Can it indicate many different relationships other than possession?\"\n },\n {\n \"33625\": \"Is this case capable of of indicating two nouns are related?\"\n },\n {\n \"33626\": \"What languages place the head noun in the construct state?\"\n },\n {\n \"33627\": \"Can a genitive case possibly have adverbial uses?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"33618\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33619\",\n \"answer\": \"Many languages\"\n },\n {\n \"question_id\": \"33620\",\n \"answer\": \"not properly\"\n },\n {\n \"question_id\": \"33621\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33622\",\n \"answer\": \"the \\\"\\\" clitic or a preposition\"\n },\n {\n \"question_id\": \"33623\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33624\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33625\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33626\",\n \"answer\": \"Afroasiatic\"\n },\n {\n \"question_id\": \"33627\",\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)A fourth man has been indicted in connection with a plot to provide material support to terrorists and for some of the men to join ISIS, according to an indictment from Brooklyn Federal Court released Monday. \n\nDilkhayot Kasimov was added to a superseding indictment in which three previously arrested men -- Abdurasul Hasanovich Juraboev, Akhror Saidakhmetov, and Abror Habibov -- were charged with two counts of providing support to a foreign terrorist organization. Those three have pleaded not guilty. It is unclear if Kasimov has been arrested. \n\nThe indictment and a criminal complaint filed last month say Juraboev and Saidakhmetov planned to join ISIS and had purchased airline tickets to Turkey. \n\nSaidakhmetov has also been charged with travel document fraud after telling authorities he intended to travel for entertainment purposes, according to the indictment. \n\nHe and Habibov were charged with conspiracy to use a firearm to commit a crime. \n\nThe names: Who has been recruited to ISIS from the West \n\nHabibov is a 30-year-old Uzbekistani citizen, who police say \"helped organize and finance\" the operation. He was arrested in Jacksonville, Florida. \n\nCourt documents say Habibov operates mall kiosks that sell kitchenware and repair mobile phones. He has locations in Florida, Georgia, Pennsylvania and Virginia. \n\nHabibov was in the United States legally, but overstayed his visa, according to police. \n\nSaidakhmetov, 19, lives in Brooklyn with Juraboev, his roommate. They are permanent residents of the United States. \n\nCourt documents say Saidakhmetov, a citizen of Kazakhstan, worked at Habibov's mall kiosks in three different states in the fall and winter of 2014. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57101\": \"How many men have been indicated?\"\n },\n {\n \"57102\": \"Why were they indicated?\"\n },\n {\n \"57103\": \"Who were some of the men arrested?\"\n },\n {\n \"57104\": \"What were they charged with?\"\n },\n {\n \"57105\": \"Did they plead guilty?\"\n },\n {\n \"57106\": \"Who was charged with fraud?\"\n },\n {\n \"57107\": \"Why was he traveling?\"\n },\n {\n \"57108\": \"Who is Habibov?\"\n },\n {\n \"57109\": \"What did he do?\"\n },\n {\n \"57110\": \"Was he arrested?\"\n },\n {\n \"57111\": \"were at?\"\n },\n {\n \"57112\": \"What does Babibov do?\"\n },\n {\n \"57113\": \"What Habib was US resident?\"\n },\n {\n \"57114\": \"Where does Saidakhmetov live?\"\n },\n {\n \"57115\": \"with who?\"\n },\n {\n \"57116\": \"Where did he work?\"\n },\n {\n \"57117\": \"in how many states?\"\n },\n {\n \"57118\": \"When did he work for Habibov?\"\n },\n {\n \"57119\": \"How old is Saidakhmetov?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57101\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"57102\",\n \"answer\": \"In connection with a plot to provide material support to terrorists and for some of the men to join ISIS\"\n },\n {\n \"question_id\": \"57103\",\n \"answer\": \"Abdurasul Hasanovich Juraboev, Akhror Saidakhmetov, and Abror Habibov\"\n },\n {\n \"question_id\": \"57104\",\n \"answer\": \"Two counts of providing support to a foreign terrorist organization\"\n },\n {\n \"question_id\": \"57105\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"57106\",\n \"answer\": \"Saidakhmetov\"\n },\n {\n \"question_id\": \"57107\",\n \"answer\": \"He planned to join ISIS\"\n },\n {\n \"question_id\": \"57108\",\n \"answer\": \"A 30-year-old Uzbekistani citizen\"\n },\n {\n \"question_id\": \"57109\",\n \"answer\": \"He \\\"helped organize and finance\\\" the operation.\"\n },\n {\n \"question_id\": \"57110\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57111\",\n \"answer\": \"Jacksonville, Florida.\"\n },\n {\n \"question_id\": \"57112\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"57113\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"57114\",\n \"answer\": \"Brooklyn\"\n },\n {\n \"question_id\": \"57115\",\n \"answer\": \"Juraboev\"\n },\n {\n \"question_id\": \"57116\",\n \"answer\": \"Mall kiosks\"\n },\n {\n \"question_id\": \"57117\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"57118\",\n \"answer\": \"In the fall and winter of 2014\"\n },\n {\n \"question_id\": \"57119\",\n \"answer\": \"19\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Jurors did not reach a verdict in their first day of deliberations Monday in the trial of Steven Hayes, the man accused of killing three members of a Connecticut family in a 2007 home invasion. \n\nThey are expected to resume their work Tuesday morning. \n\nHayes, 47, who has pleaded not guilty, is on trial in New Haven, Connecticut, for the murders of Jennifer Hawke-Petit and her two daughters. \n\nThe killings took place in the New Haven suburb of Cheshire early July 23, 2007. The home of William Petit, his wife, Hawke-Petit, and two daughters was invaded in the middle of the night by Hayes and co-defendant Joshua Komisarjevsky, prosecutors say. \n\nKomisarjevsky will be tried separately. \n\nJudge Jon Blue gave instructions Monday morning and told the jury: \"You are the sole judges of the facts.\" \n\n\"We're in the home stretch,\" the judge said after going over all 17 counts with the jury. \"No one will hurry you to produce a verdict.\" \n\nTheir first duty will be to pick a foreman, and their verdict must be unanimous, the judge reminded the jurors. \n\nSoon after starting their deliberations, the jurors asked for a transcript of an interview by a state police detective, who spoke to Hayes soon after his arrest. The judge offered to have the testimony read back -- which the jurors declined. \n\nLater in the day, they sent a note to the judge asking for a definition of what constitutes starting a fire.Their deliberations Monday ran just over 2 hours. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27762\": \"Who is on trial?\"\n },\n {\n \"27763\": \"How many is he accused of killing?\"\n },\n {\n \"27764\": \"On what date?\"\n },\n {\n \"27765\": \"What month of that year?\"\n },\n {\n \"27766\": \"How old is he?\"\n },\n {\n \"27767\": \"Did he have an accomplice?\"\n },\n {\n \"27768\": \"Who?\"\n },\n {\n \"27769\": \"Is he also facing trial?\"\n },\n {\n \"27770\": \"Together with Hayes, or seperately?\"\n },\n {\n \"27771\": \"Where did the killings take place?\"\n },\n {\n \"27772\": \"What city is it a suburb of?\"\n },\n {\n \"27773\": \"At whose home?\"\n },\n {\n \"27774\": \"How many counts is Hayes facing?\"\n },\n {\n \"27775\": \"Did he plead guilty?\"\n },\n {\n \"27776\": \"What day of deliberations just finished?\"\n },\n {\n \"27777\": \"On what day of the week?\"\n },\n {\n \"27778\": \"Was a decision made?\"\n },\n {\n \"27779\": \"How long was their deliberation?\"\n },\n {\n \"27780\": \"What information did they request?\"\n },\n {\n \"27781\": \"What does the jury need to decide on, first?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"27762\",\n \"answer\": \"Hayes\"\n },\n {\n \"question_id\": \"27763\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"27764\",\n \"answer\": \"2007\"\n },\n {\n \"question_id\": \"27765\",\n \"answer\": \"July\"\n },\n {\n \"question_id\": \"27766\",\n \"answer\": \"47\"\n },\n {\n \"question_id\": \"27767\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27768\",\n \"answer\": \"Joshua Komisarjevsky\"\n },\n {\n \"question_id\": \"27769\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27770\",\n \"answer\": \"separately\"\n },\n {\n \"question_id\": \"27771\",\n \"answer\": \"Cheshire\"\n },\n {\n \"question_id\": \"27772\",\n \"answer\": \"New Haven\"\n },\n {\n \"question_id\": \"27773\",\n \"answer\": \"William Petit\"\n },\n {\n \"question_id\": \"27774\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"27775\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27776\",\n \"answer\": \"their first\"\n },\n {\n \"question_id\": \"27777\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"27778\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27779\",\n \"answer\": \"just over 2 hours\"\n },\n {\n \"question_id\": \"27780\",\n \"answer\": \"what constitutes starting a fire\"\n },\n {\n \"question_id\": \"27781\",\n \"answer\": \"a foreman\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Stuttgart ( ; ; Swabian: \", ; ) is the capital and largest city of the German state of . \n\nStuttgart is located on the Neckar river in a fertile valley locally known as the \"Stuttgart Cauldron\" an hour from the Swabian Jura and the Black Forest, and its urban area has a population of 609,219, making it the sixth largest city in Germany. 2.7 million people live in the city's administrative region and another 5.3 million people in its metropolitan area, making it the fourth largest metropolitan area in Germany. \n\nThe city and metropolitan area are consistently ranked among the top 20 European metropolitan areas by GDP; Mercer listed Stuttgart as 21st on its 2015 list of cities by quality of living, innovation agency 2thinknow ranked the city 24th globally out of 442 cities and the Globalization and World Cities Research Network ranked the city as a Beta-status world city in their 2014 survey. \n\nSince the 6th millennium BC, the Stuttgart area has been an important agricultural area and has been host to a number of cultures seeking to utilize the rich soil of the Neckar valley. The Roman Empire conquered the area in 83 AD and built a massive near Bad Cannstatt, making it the most important regional center for several centuries. Stuttgart's roots were truly laid in the 10th century with its founding by Liudolf, Duke of Swabia, as a stud farm for his warhorses. Overshadowed by nearby Cannstatt, the town grew steadily and was granted a charter in 1320. The fortunes of Stuttgart turned with those of the House of Württemberg, and they made it the capital of their county, duchy, and kingdom from the 15th century to 1918. Stuttgart prospered despite setbacks in the Thirty Years' War and devastating air raids by the Allies on the city and its automobile production. However, by 1952, the city had bounced back and it became the major economic, industrial, tourism and publishing center it is today.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28153\": \"Where is Stuttgart located?\"\n },\n {\n \"28154\": \"What type of land is it considered?\"\n },\n {\n \"28155\": \"Is it known by any other names?\"\n },\n {\n \"28156\": \"What?\"\n },\n {\n \"28157\": \"What country is it in?\"\n },\n {\n \"28158\": \"Is it the largest city?\"\n },\n {\n \"28159\": \"What is the population?\"\n },\n {\n \"28160\": \"Is it an agricultural area?\"\n },\n {\n \"28161\": \"What makes it so?\"\n },\n {\n \"28162\": \"How long has it been so?\"\n },\n {\n \"28163\": \"How does it rank for quality of living?\"\n },\n {\n \"28164\": \"Does it have other rankings?\"\n },\n {\n \"28165\": \"By whom?\"\n },\n {\n \"28166\": \"What did they say about it?\"\n },\n {\n \"28167\": \"What other rankings does it have?\"\n },\n {\n \"28168\": \"What did the Globalization and World Cities Research Network rank it?\"\n },\n {\n \"28169\": \"When was that?\"\n },\n {\n \"28170\": \"When did the Roman Empire conquer it?\"\n },\n {\n \"28171\": \"What did they do then?\"\n },\n {\n \"28172\": \"Who was it founded by?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28153\",\n \"answer\": \"on the Neckar river\"\n },\n {\n \"question_id\": \"28154\",\n \"answer\": \"a valley\"\n },\n {\n \"question_id\": \"28155\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28156\",\n \"answer\": \"\\\"Stuttgart Cauldron\\\"\"\n },\n {\n \"question_id\": \"28157\",\n \"answer\": \"Germany.\"\n },\n {\n \"question_id\": \"28158\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"28159\",\n \"answer\": \"3.3 million\"\n },\n {\n \"question_id\": \"28160\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28161\",\n \"answer\": \"the rich soil of Neckar valley.\"\n },\n {\n \"question_id\": \"28162\",\n \"answer\": \"Since the 6th millennium BC\"\n },\n {\n \"question_id\": \"28163\",\n \"answer\": \"Mercer listed Stuttgart as 21st on its 2015 list of cities by quality of living\"\n },\n {\n \"question_id\": \"28164\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28165\",\n \"answer\": \"GDP\"\n },\n {\n \"question_id\": \"28166\",\n \"answer\": \"The city and metropolitan area among the top 20 European metropolitan areas\"\n },\n {\n \"question_id\": \"28167\",\n \"answer\": \"2thinknow ranked the city 24th globally\"\n },\n {\n \"question_id\": \"28168\",\n \"answer\": \"a Beta-status world city\"\n },\n {\n \"question_id\": \"28169\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"28170\",\n \"answer\": \"in 83 AD\"\n },\n {\n \"question_id\": \"28171\",\n \"answer\": \"made it the most important regional center for several centuries.\"\n },\n {\n \"question_id\": \"28172\",\n \"answer\": \"Liudolf, Duke of Swabia\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nA TIME OF WAITING \n\nDinah woke two minutes before one o'clock, and Nat at once lay down and, resolutely refusing to allow himself to think any more of the situation, was soon fast asleep. \n\n\"It am jess beginning to get light, Marse Glober,\" the negress said when, as it seemed to him, he had not been five minutes asleep. However, he jumped up at once. \n\n\"It is very dark, still, Dinah.\" \n\n\"It am dark, sah, but not so dark as it was. Bes' be off at once. Must get well away before dem black fellows wake up.\" \n\n\"How is Madame Duchesne?\" \n\n\"She sleep, sah; she no wake for another tree or four hours. Dinah give pretty strong dose. Bes' dat she should know noting about it till we get to a safe place.\" \n\n\"But is there any safe place, Dinah?\" \n\n\"Yes, massa; me take you where dey neber tink of searching, but good way off in hills.\" \n\nMyra by this time was on her feet also. \n\n\"Have you slept well, Myra?\" \n\n\"Yes, I have slept pretty well, but in spite of the two blankets under us it was awfully hard, and I feel stiff all over now.\" \n\n\"How shall we divide the things, Dinah?\" \n\n\"Well, sah, do you tink you can take de head of de barrow? Dat pretty heaby weight.\" \n\n\"Oh, nonsense!\" Nat said. \"Madame Duchesne is a light weight, and if I could get her comfortably on my back I could carry her any distance.\" \n\n\"Dat bery well before starting, Marse Glober, you tell anoder story before we gone very far.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6181\": \"Who was asleep?\"\n },\n {\n \"6182\": \"Who had just woken?\"\n },\n {\n \"6183\": \"When did Dinah wake up?\"\n },\n {\n \"6184\": \"Was Madame Duchesne still asleep?\"\n },\n {\n \"6185\": \"How much longer did they think she would be asleep for?\"\n },\n {\n \"6186\": \"Why were they so sure?\"\n },\n {\n \"6187\": \"What were they plotting to do while she slept?\"\n },\n {\n \"6188\": \"What skin color were they?\"\n },\n {\n \"6189\": \"Where were they going?\"\n },\n {\n \"6190\": \"Was it light out?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"6181\",\n \"answer\": \"Nat\"\n },\n {\n \"question_id\": \"6182\",\n \"answer\": \"Dinah\"\n },\n {\n \"question_id\": \"6183\",\n \"answer\": \"two minutes before one o'clock\"\n },\n {\n \"question_id\": \"6184\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"6185\",\n \"answer\": \"three or four hours.\"\n },\n {\n \"question_id\": \"6186\",\n \"answer\": \"gave a strong dose\"\n },\n {\n \"question_id\": \"6187\",\n \"answer\": \"leave\"\n },\n {\n \"question_id\": \"6188\",\n \"answer\": \"black\"\n },\n {\n \"question_id\": \"6189\",\n \"answer\": \"a safe place\"\n },\n {\n \"question_id\": \"6190\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Birmingham is the most populous city in the U.S. state of Alabama and the county seat of Jefferson County. The city's population was 212,237 in the 2010 United States Census. In the 2010 US Census, the Birmingham-Hoover Metropolitan Statistical Area had a population of about 1,128,047, which is approximately one-quarter of Alabama's population. \n\nBirmingham was founded in 1871, during the post-Civil War Reconstruction period, through the merger of three pre-existing farm towns, notably, former Elyton. It was named for Birmingham, England, the UK's second largest city and then major industrial city. The Alabama city annexed smaller neighbors and developed as an industrial and railroad transportation center, based on mining, the new iron and steel industry, and railroading. Most of the original settlers who founded Birmingham were of English ancestry. The city was developed as a place where cheap, non-unionized, and African-American labor from rural Alabama could be employed in the city's steel mills and blast furnaces, giving it a competitive advantage over unionized industrial cities in the Midwest and Northeast. \n\nFrom its founding through the end of the 1960s, Birmingham was a primary industrial center of the southern United States. Its growth from 1881 through 1920 earned its nicknames as \"The Magic City\" and \"The Pittsburgh of the South\". Its major industries were iron and steel production, plus a major component of the railroading industry. Rails and railroad cars were both manufactured in Birmingham. Since the 1860s, the two primary hubs of railroading in the Deep South have been nearby Atlanta and Birmingham. The economy diversified in the latter half of the 20th century. Banking, telecommunications, transportation, electrical power transmission, medical care, college education, and insurance have become major economic activities. Birmingham ranks as one of the largest banking centers in the United States and as one of the most important business centers in the Southeast.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57880\": \"What US state is Birmingham in?\"\n },\n {\n \"57881\": \"Are there any other places by that name?\"\n },\n {\n \"57882\": \"Where?\"\n },\n {\n \"57883\": \"What was important about that one?\"\n },\n {\n \"57884\": \"How did the US city form?\"\n },\n {\n \"57885\": \"When?\"\n },\n {\n \"57886\": \"What was the basis of its economy then?\"\n },\n {\n \"57887\": \"Why did businesses like it there?\"\n },\n {\n \"57888\": \"What type of factories did they work in?\"\n },\n {\n \"57889\": \"What nicknames did the city have during its heyday?\"\n },\n {\n \"57890\": \"And the other?\"\n },\n {\n \"57891\": \"Why did it get these names?\"\n },\n {\n \"57892\": \"What did they manufacture there?\"\n },\n {\n \"57893\": \"Why else was it important to railroad companies?\"\n },\n {\n \"57894\": \"Are these still the basis of the city's economy?\"\n },\n {\n \"57895\": \"WHy is the city important today?\"\n },\n {\n \"57896\": \"WHat other business activities take place there?\"\n },\n {\n \"57897\": \"What is the population according to a recent census?\"\n },\n {\n \"57898\": \"Is that large for an Alabama town?\"\n },\n {\n \"57899\": \"How does it rank among cities there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57880\",\n \"answer\": \"Alabama\"\n },\n {\n \"question_id\": \"57881\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57882\",\n \"answer\": \"Birmingham, England,\"\n },\n {\n \"question_id\": \"57883\",\n \"answer\": \"UK's second largest city and then major industrial city. T\"\n },\n {\n \"question_id\": \"57884\",\n \"answer\": \"it annexed smaller neighbors\"\n },\n {\n \"question_id\": \"57885\",\n \"answer\": \"1871\"\n },\n {\n \"question_id\": \"57886\",\n \"answer\": \"mining, the new iron and steel industry, and railroading.\"\n },\n {\n \"question_id\": \"57887\",\n \"answer\": \"it had cheap, non-unionized, and African-American labor\"\n },\n {\n \"question_id\": \"57888\",\n \"answer\": \"steel mills and blast furnaces\"\n },\n {\n \"question_id\": \"57889\",\n \"answer\": \"it had 2, 1 was The Magic City\"\n },\n {\n \"question_id\": \"57890\",\n \"answer\": \"\\\"The Pittsburgh of the South\\\"\"\n },\n {\n \"question_id\": \"57891\",\n \"answer\": \"it's growth as an industrial city\"\n },\n {\n \"question_id\": \"57892\",\n \"answer\": \"Its major industries were iron and steel production, plus a major component of the railroading industry.\"\n },\n {\n \"question_id\": \"57893\",\n \"answer\": \"2 major railway hubs in the south are near\"\n },\n {\n \"question_id\": \"57894\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57895\",\n \"answer\": \"It's a major banking center in the US\"\n },\n {\n \"question_id\": \"57896\",\n \"answer\": \"Telecommunications, transportation, electrical power transmission, medical care, college education, and insurance\"\n },\n {\n \"question_id\": \"57897\",\n \"answer\": \"1,128,047\"\n },\n {\n \"question_id\": \"57898\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57899\",\n \"answer\": \"most populous\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cladistics (from Greek , \"klados\", i.e., \"branch\") is an approach to biological classification in which organisms are categorized based on shared derived characteristics that can be traced to a group's most recent common ancestor and are not present in more distant ancestors. Therefore, members of a group are assumed to share a common history and are considered to be closely related. \n\nThe techniques and nomenclature of cladistics have been applied to other disciplines. (See phylogenetic nomenclature.) \n\nThe original methods used in cladistic analysis and the school of taxonomy derived from the work of the German entomologist Willi Hennig, who referred to it as phylogenetic systematics (also the title of his 1966 book); the terms \"cladistics\" and \"clade\" were popularized by other researchers. Cladistics in the original sense refers to a particular set of methods used in phylogenetic analysis, although it is now sometimes used to refer to the whole field. \n\nWhat is now called the cladistic method appeared as early as 1901 with a work by Peter Chalmers Mitchell for birds and subsequently by Robert John Tillyard (for insects) in 1921, and W. Zimmermann (for plants) in 1943. The term \"clade\" was introduced in 1958 by Julian Huxley after having been coined by Lucien Cuénot in 1940, \"cladogenesis\" in 1958, \"cladistic\" by Cain and Harrison in 1960, \"cladist\" (for an adherent of Hennig's school) by Mayr in 1965, and \"cladistics\" in 1966. Hennig referred to his own approach as \"phylogenetic systematics\". From the time of his original formulation until the end of the 1970s, cladistics competed as an analytical and philosophical approach to phylogenetic inference with phenetics and so-called evolutionary taxonomy. Phenetics was championed at this time by the numerical taxonomists Peter Sneath and Robert Sokal and the evolutionary taxonomist Ernst Mayr.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57741\": \"What is the main topic?\"\n },\n {\n \"57742\": \"What's the word's country of origin?\"\n },\n {\n \"57743\": \"What is it?\"\n },\n {\n \"57744\": \"How long ago did it appear?\"\n },\n {\n \"57745\": \"By who?\"\n },\n {\n \"57746\": \"How?\"\n },\n {\n \"57747\": \"Did anyone else write about it?\"\n },\n {\n \"57748\": \"Who was next?\"\n },\n {\n \"57749\": \"How many years later?\"\n },\n {\n \"57750\": \"What was his focus?\"\n },\n {\n \"57751\": \"Who was next?\"\n },\n {\n \"57752\": \"What was his focus?\"\n },\n {\n \"57753\": \"When?\"\n },\n {\n \"57754\": \"How are organisms classified under this approach?\"\n },\n {\n \"57755\": \"Who coined \\\"clade\\\"?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57741\",\n \"answer\": \"Cladistics\"\n },\n {\n \"question_id\": \"57742\",\n \"answer\": \"from Greek , \\\"klados\\\"\"\n },\n {\n \"question_id\": \"57743\",\n \"answer\": \"an approach to biological classification in which organisms are categorized based on shared derived characteristics that can be traced to a group's most recent common ancestor and are not present in more distant ancestors\"\n },\n {\n \"question_id\": \"57744\",\n \"answer\": \"as early as 1901\"\n },\n {\n \"question_id\": \"57745\",\n \"answer\": \"by Peter Chalmers Mitchell\"\n },\n {\n \"question_id\": \"57746\",\n \"answer\": \"with a work about birds\"\n },\n {\n \"question_id\": \"57747\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57748\",\n \"answer\": \"Robert John Tillyard\"\n },\n {\n \"question_id\": \"57749\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"57750\",\n \"answer\": \"insects\"\n },\n {\n \"question_id\": \"57751\",\n \"answer\": \"W. Zimmermann\"\n },\n {\n \"question_id\": \"57752\",\n \"answer\": \"plants\"\n },\n {\n \"question_id\": \"57753\",\n \"answer\": \"1943\"\n },\n {\n \"question_id\": \"57754\",\n \"answer\": \"organisms are categorized based on shared derived characteristics that can be traced to a group's most recent common ancestor and are not present in more distant ancestors\"\n },\n {\n \"question_id\": \"57755\",\n \"answer\": \"Julian Huxley\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Kingston is a city in eastern Ontario, Canada. It is on the eastern end of Lake Ontario, at the beginning of the St. Lawrence River and at the mouth of the Cataraqui River (south end of the Rideau Canal). The city is midway between Toronto and Montreal. The Thousand Islands tourist region is nearby to the east. Kingston is nicknamed the \"\"Limestone City\"\" because of the many heritage buildings constructed using local limestone. \n\nGrowing European exploration in the 17th century and the desire for the Europeans to establish a presence close to local Native occupants to control trade led to the founding of a French trading post and military fort at a site known as \"Cataraqui\" in 1673. This outpost, called Fort Cataraqui, and later Fort Frontenac, became a focus for settlement. After the British conquered New France, the village was renamed Kingston. \n\nKingston was named the first capital of the Province of Canada on February 10, 1841. While its time as a political centre was short (ending in 1844), the community has remained an important military installation. Kingston was the county seat of Frontenac County until 1998. Kingston is now a separated municipality from the County of Frontenac. \n\nA number of origins of \"Cataraqui\", Kingston's original name, have been postulated. One is it is derived from the Iroquois word that means \"the place where one hides\". The name may also be derivations of Native words that mean \"impregnable\", \"muddy river\", \"place of retreat\", \"clay bank rising out of the water\" or \"where the rivers and lake meet\".\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31968\": \"What country is Kingston in?\"\n },\n {\n \"31969\": \"When was it named the first capital?\"\n },\n {\n \"31970\": \"Was it a long-standing political epicenter for the nation?\"\n },\n {\n \"31971\": \"When did its political importance end?\"\n },\n {\n \"31972\": \"What importance does it serve now?\"\n },\n {\n \"31973\": \"What is Kingston's original name?\"\n },\n {\n \"31974\": \"What is one possible meaning of that word?\"\n },\n {\n \"31975\": \"Derived from which tribe?\"\n },\n {\n \"31976\": \"What is another possible translation?\"\n },\n {\n \"31977\": \"Do any of the names have to do with water?\"\n },\n {\n \"31978\": \"Which?\"\n },\n {\n \"31979\": \"Which rivers is Kingston located near?\"\n },\n {\n \"31980\": \"And which major lake?\"\n },\n {\n \"31981\": \"What is Kingston's nickname?\"\n },\n {\n \"31982\": \"Why?\"\n },\n {\n \"31983\": \"Which major cities is it in the middle of?\"\n },\n {\n \"31984\": \"Is there a tourist destination nearby?\"\n },\n {\n \"31985\": \"Named?\"\n },\n {\n \"31986\": \"What was known as Cataraqui in 1673?\"\n },\n {\n \"31987\": \"When was it renamed Kingston?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"31968\",\n \"answer\": \"Canada\"\n },\n {\n \"question_id\": \"31969\",\n \"answer\": \"February 10, 1841\"\n },\n {\n \"question_id\": \"31970\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"31971\",\n \"answer\": \"in 1844\"\n },\n {\n \"question_id\": \"31972\",\n \"answer\": \"the community has remained an important military installation\"\n },\n {\n \"question_id\": \"31973\",\n \"answer\": \"Cataraqui\"\n },\n {\n \"question_id\": \"31974\",\n \"answer\": \"\\\"the place where one hides\\\".\"\n },\n {\n \"question_id\": \"31975\",\n \"answer\": \"from the Iroquois\"\n },\n {\n \"question_id\": \"31976\",\n \"answer\": \"\\\"place of retreat\\\"\"\n },\n {\n \"question_id\": \"31977\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31978\",\n \"answer\": \"\\\"muddy river\\\", \\\"clay bank rising out of the water\\\" or \\\"where the rivers and lake meet\\\".\"\n },\n {\n \"question_id\": \"31979\",\n \"answer\": \"the St. Lawrence River and at the mouth of the Cataraqui River\"\n },\n {\n \"question_id\": \"31980\",\n \"answer\": \"Lake Ontario\"\n },\n {\n \"question_id\": \"31981\",\n \"answer\": \"\\\"\\\"Limestone City\\\"\\\"\"\n },\n {\n \"question_id\": \"31982\",\n \"answer\": \"because of the many heritage buildings constructed using local limestone.\"\n },\n {\n \"question_id\": \"31983\",\n \"answer\": \"between Toronto and Montreal\"\n },\n {\n \"question_id\": \"31984\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"31985\",\n \"answer\": \"The Thousand Islands tourist region\"\n },\n {\n \"question_id\": \"31986\",\n \"answer\": \"a French trading post and military fort\"\n },\n {\n \"question_id\": \"31987\",\n \"answer\": \"After the British conquered New France\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 EIGHTEEN. \n\nA TRYING ORDEAL--DANGER THREATENS AND FLIGHT AGAIN RESOLVED ON. \n\nWhen the early birds are singing, and the early mists are scattering, and the early sun is rising to gladden, as with the smile of God, all things with life in earth and sea and sky--then it is that early-rising man goes forth to reap the blessings which his lazy fellow-man fails to appreciate or enjoy. \n\nAmong the early risers that morning was our friend Moses. Gifted with an inquiring mind, the negro had proceeded to gratify his propensities by making inquiries of a general nature, and thus had acquired, among other things, the particular information that the river on the banks of which the village stood was full of fish. Now, Moses was an ardent angler. \n\n\"I lub fishing,\" he said one day to Nigel when in a confidential mood; \"I can't tell you how much I lub it. Seems to me dat der's nuffin' like it for proggin' a man!\" \n\nWhen Nigel demanded an explanation of what proggin' meant, Moses said he wasn't quite sure. He could \"understand t'ings easy enough though he couldn't allers 'splain 'em.\" On the whole he thought that prog had a compound meaning--it was a combination of poke and pull \"wid a flavour ob ticklin' about it,\" and was rather pleasant. \n\n\"You see,\" he continued, \"when a leetle fish plays wid your hook, it progs your intellec' an' tickles up your fancy a leetle. When he grabs you, dat progs your hopes a good deal. When a big fish do de same, dat progs you deeper. An' when a real walloper almost pulls you into de ribber, dat progs your heart up into your t'roat, where it stick till you land him.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65332\": \"who likes to wake up early?\"\n },\n {\n \"65333\": \"any one else?\"\n },\n {\n \"65334\": \"who was he?\"\n },\n {\n \"65335\": \"was he inquisitive?\"\n },\n {\n \"65336\": \"what types of questions did he ask?\"\n },\n {\n \"65337\": \"did he learn anything beneficial?\"\n },\n {\n \"65338\": \"what?\"\n },\n {\n \"65339\": \"where were they?\"\n },\n {\n \"65340\": \"was anything near it?\"\n },\n {\n \"65341\": \"what?\"\n },\n {\n \"65342\": \"did Moses like to fish?\"\n },\n {\n \"65343\": \"did he tell anyone that?\"\n },\n {\n \"65344\": \"who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65332\",\n \"answer\": \"the early-rising man\"\n },\n {\n \"question_id\": \"65333\",\n \"answer\": \"Moses\"\n },\n {\n \"question_id\": \"65334\",\n \"answer\": \"our friend\"\n },\n {\n \"question_id\": \"65335\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65336\",\n \"answer\": \"general ones\"\n },\n {\n \"question_id\": \"65337\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65338\",\n \"answer\": \"Where the fish were\"\n },\n {\n \"question_id\": \"65339\",\n \"answer\": \"the river\"\n },\n {\n \"question_id\": \"65340\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65341\",\n \"answer\": \"the village\"\n },\n {\n \"question_id\": \"65342\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65343\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65344\",\n \"answer\": \"Nigel\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. 'LE BROUILON' \n\n\n\nBut never more the same two sister pearls Ran down the silken thread to kiss each other. --Tennyson \n\nBerenger was obliged to crave permission from the King to spend some hours in riding with Osbert to the first hostel on their way, to make arrangements for the relay of horses that was to meet them there, and for the reception of Veronique, Eustacie's maid, who was to be sent off very early in the morning on a pillion behind Osbert, taking with her the articles of dress that would be wanted to change her mistress from the huntress maid of honour to the English dame. \n\nIt was not long after he had been gone that a sound of wheels and trampling horses was heard in one of the forest drives. Charles, who was amusing himself with shooting at a mark together with Sidney and Teligny, handed his weapon to an attendant, and came up with looks of restless anxiety to his Queen, who was placed in her chair under the tree, with the Admiral and her ladies round her, as judges of the prize. \n\n'Here is _le brouillon_,' he muttered. 'I thought we had been left in peace too long.' \n\nElisabeth, who Brantome says was water, while her husband was fire, tried to murmur some hopeful suggestion; and poor little Eustacie, clasping her hands, could scarcely refrain from uttering the cry, 'Oh, it is my uncle! Do not let him take me!' \n\nThe next minute there appeared four horses greatly heated and jaded, drawing one of the court coaches; and as it stopped at the castle gate, two ladies became visible within it--the portly form of Queen Catherine, and on the back seat the graceful figure of Diane de Ribaumont. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51888\": \"Who needed to ask for the right to go with the men?\"\n },\n {\n \"51889\": \"Where was he going?\"\n },\n {\n \"51890\": \"What did he need there?\"\n },\n {\n \"51891\": \"What else?\"\n },\n {\n \"51892\": \"Who is she?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"51888\",\n \"answer\": \"Berenger\"\n },\n {\n \"question_id\": \"51889\",\n \"answer\": \"first hostel\"\n },\n {\n \"question_id\": \"51890\",\n \"answer\": \"make arrangements for the relay of horses\"\n },\n {\n \"question_id\": \"51891\",\n \"answer\": \"reception of Veronique\"\n },\n {\n \"question_id\": \"51892\",\n \"answer\": \"Eustacie's maid,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Brasília (Portuguese pronunciation: [bɾaˈziljɐ]) is the federal capital of Brazil and seat of government of the Federal District. The city is located atop the Brazilian highlands in the country's center-western region. It was founded on April 21, 1960, to serve as the new national capital. Brasília and its metro (encompassing the whole of the Federal District) had a population of 2,556,149 in 2011, making it the 4th most populous city in Brazil. Among major Latin American cities, Brasília has the highest GDP per capita at R$61,915 (US$36,175). \n\nThe city has a unique status in Brazil, as it is an administrative division rather than a legal municipality like other cities in Brazil. The name 'Brasília' is commonly used as a synonym for the Federal District through synecdoche; However, the Federal District is composed of 31 administrative regions, only one of which is Brasília proper, with a population of 209,926 in a 2011 survey; Demographic publications generally do not make this distinction and list the population of Brasília as synonymous with the population of the Federal District, considering the whole of it as its metropolitan area. The city was one of the main host cities of the 2014 FIFA World Cup. Additionally, Brasília hosted the 2013 FIFA Confederations Cup.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3506\": \"as of 2011, what is the population of Brasilia?\"\n },\n {\n \"3507\": \"what country is it capital of?\"\n },\n {\n \"3508\": \"how many administrative regions are actually known as Brasilia?\"\n },\n {\n \"3509\": \"when did it host the FIFA cup?\"\n },\n {\n \"3510\": \"and the confederations cup?\"\n },\n {\n \"3511\": \"what rank is it among populous Latin American cities?\"\n },\n {\n \"3512\": \"does any other Latin American city have a higher GDP?\"\n },\n {\n \"3513\": \"how much is it per capita in USD?\"\n },\n {\n \"3514\": \"when was it founded?\"\n },\n {\n \"3515\": \"what region is it in?\"\n },\n {\n \"3516\": \"does it have special status?\"\n },\n {\n \"3517\": \"is it a legal municipality?\"\n },\n {\n \"3518\": \"what is it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"3506\",\n \"answer\": \"2,556,149\"\n },\n {\n \"question_id\": \"3507\",\n \"answer\": \"Brazil\"\n },\n {\n \"question_id\": \"3508\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"3509\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"3510\",\n \"answer\": \"2013\"\n },\n {\n \"question_id\": \"3511\",\n \"answer\": \"4th\"\n },\n {\n \"question_id\": \"3512\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3513\",\n \"answer\": \"$36,175\"\n },\n {\n \"question_id\": \"3514\",\n \"answer\": \"April 21, 1960\"\n },\n {\n \"question_id\": \"3515\",\n \"answer\": \"center-western\"\n },\n {\n \"question_id\": \"3516\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"3517\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"3518\",\n \"answer\": \"administrative division\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Like other student athletes, Ray Ray McElrathbey deals with schoolwork, practice and games. But after a long day of studying and working out on the football field, the prefix = st1 /ClemsonUniversityplayer can't relax with friends. Ray Ray has to make sure his 11-year-old brother, Fahmarr, gets a good dinner, does his homework and goes to bed. \n\nSince taking responsibility for Fahmarr this August, \"I've aged dramatically , \" said Ray Ray. \"I can't be running around at all hours, making 19-year-old decisions. \" Ray Ray has temporary custody of Fahmarr. Their mother struggles with drug addiction , and they are not in touch with their dad. \n\nRay Ray didn't want to see his brother go into foster care, where they both had spent time. The brothers now live together in an apartment near the campus in Clemson,South Carolina. \n\nClemson Tigers fans aren't the only people supporting Ray Ray.Sports Illustrated, ESPNandABCnews have featured the story. The brothers have received praise and many offers of help. But Ray Ray attends the university on a scholarship. Under the rules, he can't accept money or gifts. Coaches'family members can't even give Fahmarr a ride home from school. \n\nThis changed a few weeks ago, when the National Collegiate Athletic Association allowed Clemson to set up a trust fund for Fahmarr. It will help provide for his basic needs, including food and clothing. But the brothers can give each other something that all the money in the world can't buy. Ray Ray says he hopes to instill qualities of \"strength and intelligence\"in Fahmarr. He says having his brother around is \"a great thing, knowing he will grow up right. \"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58927\": \"who has temporary custody of someone ?\"\n },\n {\n \"58928\": \"what is his name ?\"\n },\n {\n \"58929\": \"what is he caring for them ?\"\n },\n {\n \"58930\": \"is the dad around ?\"\n },\n {\n \"58931\": \"are they sisters ?\"\n },\n {\n \"58932\": \"where do they live now ?\"\n },\n {\n \"58933\": \"what state ?\"\n },\n {\n \"58934\": \"how old is his little brother ?\"\n },\n {\n \"58935\": \"how many news channels told the story ?\"\n },\n {\n \"58936\": \"what are they ?\"\n },\n {\n \"58937\": \"ray ray attends waht ?\"\n },\n {\n \"58938\": \"who set up a trust fund ?\"\n },\n {\n \"58939\": \"for what needs ?\"\n },\n {\n \"58940\": \"such as ?\"\n },\n {\n \"58941\": \"whathow many qualitys are mentioned ?\"\n },\n {\n \"58942\": \"in who ?\"\n },\n {\n \"58943\": \"when did they both spend time ?\"\n },\n {\n \"58944\": \"how many things does ray deal with ?\"\n },\n {\n \"58945\": \"what are they ?\"\n },\n {\n \"58946\": \"does he relax with friends ?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58927\",\n \"answer\": \"Fahmarr\"\n },\n {\n \"question_id\": \"58928\",\n \"answer\": \"Ray Ray\"\n },\n {\n \"question_id\": \"58929\",\n \"answer\": \"mother struggles with drug addiction\"\n },\n {\n \"question_id\": \"58930\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58931\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"58932\",\n \"answer\": \"Clemson\"\n },\n {\n \"question_id\": \"58933\",\n \"answer\": \"South Carolina\"\n },\n {\n \"question_id\": \"58934\",\n \"answer\": \"11\"\n },\n {\n \"question_id\": \"58935\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"58936\",\n \"answer\": \"ESPNandABCnews\"\n },\n {\n \"question_id\": \"58937\",\n \"answer\": \"university\"\n },\n {\n \"question_id\": \"58938\",\n \"answer\": \"National Collegiate Athletic Association\"\n },\n {\n \"question_id\": \"58939\",\n \"answer\": \"basic\"\n },\n {\n \"question_id\": \"58940\",\n \"answer\": \"food and clothing\"\n },\n {\n \"question_id\": \"58941\",\n \"answer\": \"strength and intelligence\"\n },\n {\n \"question_id\": \"58942\",\n \"answer\": \"Fahmarr\"\n },\n {\n \"question_id\": \"58943\",\n \"answer\": \"foster care\"\n },\n {\n \"question_id\": \"58944\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"58945\",\n \"answer\": \"schoolwork, practice and game\"\n },\n {\n \"question_id\": \"58946\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Three times, Adrian Pracon prepared to die on Utoya island, a Norwegian paradise turned to hell Friday. Friends he laughed with earlier in the day fell one by one in a gunman's hail of fire. \n\nHe survived to tell a horrifying tale Saturday. \n\nWhen the shooting started Friday afternoon, many of the 600 people at the ruling Labour Party's youth camp ran down a hill and to the water. The shooter came after them, screaming. \n\n\"You are all going to die!\" \n\nPracon was one of the last ones remaining between the shooter and the water and didn't have time to take his heavy clothes or boots off. About 100 meters into the chilly water, he realized he would not make it. He would drown with all that weight. \n\n\"I felt I couldn't breathe. I already swallowed too much water,\" he said. \"I felt the clothes pulling me down.\" \n\nHe managed to swim back to shore and crouched behind a boulder with others. But the gunman found him. He was so close that Pracon could see down the barrel of his weapon. He was sure to get a direct hit. Pracon thought he was going to die. \n\nAnother survivor, Otzar Fagerheim, described the gunman as having blond hair and pale skin. He carried three guns, he said. At times, he shot those guns with disarming calm, like he was shooting photographs. He even smiled, Fagerheim said. \n\nPracon was surprised to hear the shooter speaking Norwegian. He was certain a compatriot could never commit such a heinous act. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72309\": \"How many people youth camp?\"\n },\n {\n \"72310\": \"Where did they go?\"\n },\n {\n \"72311\": \"What was the shooter yelling?\"\n },\n {\n \"72312\": \"Who almost died three times?\"\n },\n {\n \"72313\": \"Did he take anything off before he got in the water?\"\n },\n {\n \"72314\": \"Why not?\"\n },\n {\n \"72315\": \"WAs the water warm?\"\n },\n {\n \"72316\": \"Where did he hide?\"\n },\n {\n \"72317\": \"What was the name of the other person that almost died?\"\n },\n {\n \"72318\": \"What color was the man's hair that held the gun?\"\n },\n {\n \"72319\": \"Did he have dark skin?\"\n },\n {\n \"72320\": \"Was the shooter smiling?\"\n },\n {\n \"72321\": \"What language did he speak?\"\n },\n {\n \"72322\": \"Where did it take place?\"\n },\n {\n \"72323\": \"What day was it?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"72309\",\n \"answer\": \"600\"\n },\n {\n \"question_id\": \"72310\",\n \"answer\": \"ran down a hill and to the water\"\n },\n {\n \"question_id\": \"72311\",\n \"answer\": \"\\\"You are all going to die!\\\"\"\n },\n {\n \"question_id\": \"72312\",\n \"answer\": \"Pracon\"\n },\n {\n \"question_id\": \"72313\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"72314\",\n \"answer\": \"he didn't have time\"\n },\n {\n \"question_id\": \"72315\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"72316\",\n \"answer\": \"behind a boulder\"\n },\n {\n \"question_id\": \"72317\",\n \"answer\": \"Otzar Fagerheim\"\n },\n {\n \"question_id\": \"72318\",\n \"answer\": \"blond\"\n },\n {\n \"question_id\": \"72319\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"72320\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72321\",\n \"answer\": \"Norwegian\"\n },\n {\n \"question_id\": \"72322\",\n \"answer\": \"on Utoya island\"\n },\n {\n \"question_id\": \"72323\",\n \"answer\": \"Friday.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 \"10462\": \"What language is popular among Chinese netizens?\"\n },\n {\n \"10463\": \"What is David Tool's occupation?\"\n },\n {\n \"10464\": \"Where does he teach?\"\n },\n {\n \"10465\": \"What two languages are being combined?\"\n },\n {\n \"10466\": \"What chinese character is also pronounced the same as garlic?\"\n },\n {\n \"10467\": \"What is Wu Zhongmin's profession?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"10462\",\n \"answer\": \"Cyber language is popular among Chinese netizens\"\n },\n {\n \"question_id\": \"10463\",\n \"answer\": \"a professor\"\n },\n {\n \"question_id\": \"10464\",\n \"answer\": \"Beijing International Studies University\"\n },\n {\n \"question_id\": \"10465\",\n \"answer\": \"Answer: Chinese and English, Evidence: combine Chinese with English\"\n },\n {\n \"question_id\": \"10466\",\n \"answer\": \"Suan Ni Hen, Evidence: carrying the same pronunciation as garlic in Chinese\"\n },\n {\n \"question_id\": \"10467\",\n \"answer\": \"Answer: Professor, Evidence: Wu Zhongmin, a professor\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 FIGHT WITH THE BUCK \n\n\"Look out!\" \n\nThese were the only words Henry had time to utter and as they left his lips he leaped to one side as swiftly as possible. \n\nHardly knowing what Henry meant, Dave and Barringford stood their ground, looking first one way and then another. \n\nOn the instant the big buck came forward. His rush was aimed at Henry, but missing that youth, he went onward with a wild plunge, directly between Dave and Barringford. \n\n\"A buck!\" yelled the frontiersman. \"Back out, Dave, an' be quick about it!\" \n\nHe himself started on a run, reloading his rifle as he went. Dave wanted to do as bidden, but he had been so surprised that before he could turn his heel caught on a rock and down he went flat on his back. His gun struck on the trigger and went off, the charge tearing over the top of the cave into the tree branches beyond. \n\nDave was now helpless and if the truth must be told the fall had more than half dazed him, for his head came down on a spot that was far from soft and comfortable. More than this, with an empty gun he could do but little to defend himself. \n\nThe big buck had now come to a halt and turned around. He stood as if uncertain whether to renew the attack or take to his heels. Then he gazed at his mate and a strange red light shone in his angry eyes. He was \"blood struck,\" as old hunters call it, and drawing in a sharp, hissing breath, he leaped forward once again, straight for Dave, who was now trying to rise. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87685\": \"Did Henry warn someone of danger?\"\n },\n {\n \"87686\": \"Who did he warn?\"\n },\n {\n \"87687\": \"What did Henry do after giving the warning?\"\n },\n {\n \"87688\": \"Did other two understand him?\"\n },\n {\n \"87689\": \"Did they stand their ground?\"\n },\n {\n \"87690\": \"Did they look around?\"\n },\n {\n \"87691\": \"Who appeared in the scene?\"\n },\n {\n \"87692\": \"Who did it target?\"\n },\n {\n \"87693\": \"Did it hit him?\"\n },\n {\n \"87694\": \"What did it do then?\"\n },\n {\n \"87695\": \"What it did when it stopped?\"\n },\n {\n \"87696\": \"Was it perplexed?\"\n },\n {\n \"87697\": \"Who did it look at?\"\n },\n {\n \"87698\": \"Who did it target then?\"\n },\n {\n \"87699\": \"Who asked him to be quick?\"\n },\n {\n \"87700\": \"Was his gun out of bullet?\"\n },\n {\n \"87701\": \"On what Dave stumble?\"\n },\n {\n \"87702\": \"Did he fall?\"\n },\n {\n \"87703\": \"Did he accidentally fire?\"\n },\n {\n \"87704\": \"What caused him become dizzy?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"87685\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87686\",\n \"answer\": \"Dave and Barringford\"\n },\n {\n \"question_id\": \"87687\",\n \"answer\": \"leaped to one side\"\n },\n {\n \"question_id\": \"87688\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87689\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87690\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87691\",\n \"answer\": \"a big buck\"\n },\n {\n \"question_id\": \"87692\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"87693\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87694\",\n \"answer\": \"he went onward with a wild plunge\"\n },\n {\n \"question_id\": \"87695\",\n \"answer\": \"turned around\"\n },\n {\n \"question_id\": \"87696\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87697\",\n \"answer\": \"his mate\"\n },\n {\n \"question_id\": \"87698\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"87699\",\n \"answer\": \"the frontiersman\"\n },\n {\n \"question_id\": \"87700\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87701\",\n \"answer\": \"on a rock\"\n },\n {\n \"question_id\": \"87702\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87703\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87704\",\n \"answer\": \"the fall\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Climate skeptics are indicative of societies in decay. \n\nSo said Mohamed Nasheed, president of the Maldives. \n\nSpeaking at CNN's Earth's Frontiers debate in Seoul, Nasheed said he was looking for a greater urgency from countries and business across the world in dealing with the problems caused by climate change. \n\nRather than a slow decay, Nasheed's own nation is faced with a rapid extinction caused by a rise in sea-levels, according to many climate scientists. \n\nJoined at the debate by filmmaker and environmentalist James Cameron, Puma's CEO Jochen Zeitz, and Changhua Wu of The Climate Group, Nasheed noted what was at stake when talking about future energy sources. \n\n\"I think it's going to be very difficult for the Maldives to survive if business goes as usual,\" he said. \"I think it's time especially for big emitter countries to find alternatives and move forward. If not, it's not just going to be the Maldives, it's going to be all of us.\" \n\nInstead of revisiting the divisions that flared between countries at the Copenhagen climate summit in December, Nasheed struck a more inclusive tone on how countries can work together to create a carbon-neutral future. \n\n\"I don't think this is an issue of developed and developing countries. Given the opportunities, (developing countries) would have done the same. \n\n\"But of course industrialized countries have more capabilities and more means, and there are people who are in trouble. If they want to lend a hand, that's the decent thing to do.\" \n\nZeitz took a stand for businesses taking the initiative in promoting renewable energy by saying that business cannot wait for government action. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41946\": \"Who is president of the Maldives?\"\n },\n {\n \"41947\": \"What is threatening his country?\"\n },\n {\n \"41948\": \"Where was he speaking?\"\n },\n {\n \"41949\": \"where was it held?\"\n },\n {\n \"41950\": \"Was the filmmaker Ron Howard there?\"\n },\n {\n \"41951\": \"what kind of future was proposed?\"\n },\n {\n \"41952\": \"What happened in December?\"\n },\n {\n \"41953\": \"Who thinks the corporate world should should not wait for government to take action?\"\n },\n {\n \"41954\": \"He is CEO for what company?\"\n },\n {\n \"41955\": \"Is he against climate control?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"41946\",\n \"answer\": \"Mohamed Nasheed.\"\n },\n {\n \"question_id\": \"41947\",\n \"answer\": \"Rise in sea-levels.\"\n },\n {\n \"question_id\": \"41948\",\n \"answer\": \"CNN's Earth's Frontiers debate.\"\n },\n {\n \"question_id\": \"41949\",\n \"answer\": \"Seoul\"\n },\n {\n \"question_id\": \"41950\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"41951\",\n \"answer\": \"A carbon-neutral future.\"\n },\n {\n \"question_id\": \"41952\",\n \"answer\": \"The Copenhagen climate summit.\"\n },\n {\n \"question_id\": \"41953\",\n \"answer\": \"Zeitz.\"\n },\n {\n \"question_id\": \"41954\",\n \"answer\": \"Puma.\"\n },\n {\n \"question_id\": \"41955\",\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 Leonhard Euler ( ; ; ; 15 April 170718 September 1783) was a Swiss mathematician, physicist, astronomer, logician and engineer who made important and influential discoveries in many branches of mathematics like infinitesimal calculus and graph theory while also making pioneering contributions to several branches such as topology and analytic number theory. He also introduced much of the modern mathematical terminology and notation, particularly for mathematical analysis, such as the notion of a mathematical function. He is also known for his work in mechanics, fluid dynamics, optics, astronomy, and music theory. \n\nEuler was one of the most eminent mathematicians of the 18th century, and is held to be one of the greatest in history. He is also widely considered to be the most prolific mathematician of all time. His collected works fill 60 to 80 quarto volumes, more than anybody in the field. He spent most of his adult life in Saint Petersburg, Russia, and in Berlin, then the capital of Prussia. \n\nA statement attributed to Pierre-Simon Laplace expresses Euler's influence on mathematics: \"Read Euler, read Euler, he is the master of us all.\" \n\nLeonhard Euler was born on 15 April 1707, in Basel, Switzerland to Paul III Euler, a pastor of the Reformed Church, and Marguerite Brucker, a pastor's daughter. He had two younger sisters: Anna Maria and Maria Magdalena, and a younger brother Johann Heinrich. Soon after the birth of Leonhard, the Eulers moved from Basel to the town of Riehen, where Euler spent most of his childhood. Paul Euler was a friend of the Bernoulli family; Johann Bernoulli was then regarded as Europe's foremost mathematician, and would eventually be the most important influence on young Leonhard.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98732\": \"What important branches of science did Leonhard Euler make important discoveries in?\"\n },\n {\n \"98733\": \"What year was he born?\"\n },\n {\n \"98734\": \"How many volumes did his work contain?\"\n },\n {\n \"98735\": \"What is the name of Eiler's father?\"\n },\n {\n \"98736\": \"Where did he spend most of his adult life?\"\n },\n {\n \"98737\": \"What is the name of Europe's foremost mathematician he was friends with?\"\n },\n {\n \"98738\": \"What was Berlin the capital of?\"\n },\n {\n \"98739\": \"Did Eluer have any siblings?\"\n },\n {\n \"98740\": \"What area of study did Euler introduce much of the modern terminology and notation for?\"\n },\n {\n \"98741\": \"What was the town Euler spent most of his childhood in?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"98732\",\n \"answer\": \"mechanics, fluid dynamics, optics, astronomy, and music theory\"\n },\n {\n \"question_id\": \"98733\",\n \"answer\": \"1707\"\n },\n {\n \"question_id\": \"98734\",\n \"answer\": \"60 to 80\"\n },\n {\n \"question_id\": \"98735\",\n \"answer\": \"Paul III Euler\"\n },\n {\n \"question_id\": \"98736\",\n \"answer\": \"Saint Petersburg, Russia, and Berlin\"\n },\n {\n \"question_id\": \"98737\",\n \"answer\": \"Pierre-Simon Laplace\"\n },\n {\n \"question_id\": \"98738\",\n \"answer\": \"Prussia\"\n },\n {\n \"question_id\": \"98739\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98740\",\n \"answer\": \"mathematical analysis\"\n },\n {\n \"question_id\": \"98741\",\n \"answer\": \"Riehen\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- At times it was almost painful to watch. At one end of the court the world's No. 1 female tennis star playing well within herself; at the other her sister, a long way away from regaining that form and status. \n\n\"Venus has had a great week, and honestly, if she hadn't had to play so many matches, it would have been a much tougher match,\" Serena Williams said after comfortably beating her older sibling on Saturday to reach the final of the Family Circle Cup in Charleston. \n\nThe 31-year-old was slightly overstating the rigors of the competition in South Carolina, a tournament that heralded the formation of the women's tour back in 1973 but has this week attracted just two of the world's top-10 players. \n\nSerena is one, and the other -- 10th-ranked Caroline Wozniacki -- crashed out in the quarterfinals on Friday against Swiss No. 63 Stefanie Vogele. \n\nBoth Williams sisters won two matches on Friday to set up their first meeting since 2009, but it was defending champion Serena who looked the least affected as she won 6-1 6-2 in just 54 minutes. \n\n\"She'll never admit it, but I don't think she was 100%,\" Serena said of her sister, who was diagnosed with a debilitating autoimmune disease before the 2011 U.S. Open -- a grand slam she has won twice, along with her five Wimbledons. \n\n\"But you will never get that out of her. And quite frankly, three matches for her is much tougher than three matches for me. It's definitely not easy -- because I'm struggling, and I can't imagine what she must be feeling.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36333\": \"Who played the match in question?\"\n },\n {\n \"36334\": \"What is her name?\"\n },\n {\n \"36335\": \"Who was she competing against?\"\n },\n {\n \"36336\": \"What's her name?\"\n },\n {\n \"36337\": \"Where did this event take place?\"\n },\n {\n \"36338\": \"What was the name of the event?\"\n },\n {\n \"36339\": \"Who was the other high ranked player there?\"\n },\n {\n \"36340\": \"What was her rank?\"\n },\n {\n \"36341\": \"Did she win the event?\"\n },\n {\n \"36342\": \"Who did she lose to?\"\n },\n {\n \"36343\": \"Where was she from?\"\n },\n {\n \"36344\": \"What does the one sibling have?\"\n },\n {\n \"36345\": \"When did she learn this?\"\n },\n {\n \"36346\": \"How many tournaments has she won?\"\n },\n {\n \"36347\": \"Did the winner believe her competitor was at full strength?\"\n },\n {\n \"36348\": \"Will the other ever say she was not at full strength?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36333\",\n \"answer\": \"the world's No. 1 female tennis star\"\n },\n {\n \"question_id\": \"36334\",\n \"answer\": \"Serena Williams\"\n },\n {\n \"question_id\": \"36335\",\n \"answer\": \"her sister\"\n },\n {\n \"question_id\": \"36336\",\n \"answer\": \"Venus\"\n },\n {\n \"question_id\": \"36337\",\n \"answer\": \"Charleston\"\n },\n {\n \"question_id\": \"36338\",\n \"answer\": \"Family Circle Cup\"\n },\n {\n \"question_id\": \"36339\",\n \"answer\": \"Caroline Wozniacki\"\n },\n {\n \"question_id\": \"36340\",\n \"answer\": \"10th\"\n },\n {\n \"question_id\": \"36341\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36342\",\n \"answer\": \"Stefanie Vogele\"\n },\n {\n \"question_id\": \"36343\",\n \"answer\": \"Sweden\"\n },\n {\n \"question_id\": \"36344\",\n \"answer\": \"a debilitating autoimmune disease\"\n },\n {\n \"question_id\": \"36345\",\n \"answer\": \"2011\"\n },\n {\n \"question_id\": \"36346\",\n \"answer\": \"7 total.\"\n },\n {\n \"question_id\": \"36347\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36348\",\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 Czechoslovakia or Czecho-Slovakia (; Czech and , \"Česko-Slovensko\") was a sovereign state in Central Europe that existed from October 1918, when it declared its independence from the Austro-Hungarian Empire, until its peaceful dissolution into the Czech Republic and Slovakia on 1 January 1993. \n\nFrom 1939 to 1945, following its forced division and partial incorporation into Nazi Germany, the state did not \"de facto\" exist but its government-in-exile continued to operate. \n\nFrom 1948 to 1990, Czechoslovakia was part of the Soviet bloc with a command economy. Its economic status was formalized in membership of Comecon from 1949, and its defense status in the Warsaw Pact of May 1955. A period of political liberalization in 1968, known as the Prague Spring, was forcibly ended when the Soviet Union, assisted by several other Warsaw Pact countries, invaded. In 1989, as Marxist–Leninist governments and communism were ending all over Europe, Czechoslovaks peacefully deposed their government in the Velvet Revolution; state price controls were removed after a period of preparation. In 1993, Czechoslovakia split into the two sovereign states of the Czech Republic and Slovakia. \n\n\n\nThe country was of generally irregular terrain. The western area was part of the north-central European uplands. The eastern region was composed of the northern reaches of the Carpathian Mountains and lands of the Danube River basin.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37918\": \"Was Czechoslovakia ever apart of the Soviet bloc?\"\n },\n {\n \"37919\": \"when were they a part of it?\"\n },\n {\n \"37920\": \"What happened in 1993?\"\n },\n {\n \"37921\": \"What were the two states?\"\n },\n {\n \"37922\": \"When did it gain independence?\"\n },\n {\n \"37923\": \"Who it did gain independence from?\"\n },\n {\n \"37924\": \"Do they have an alternate name?\"\n },\n {\n \"37925\": \"Were they a sovereign state?\"\n },\n {\n \"37926\": \"Where in Europe is it located?\"\n },\n {\n \"37927\": \"When was it originated?\"\n },\n {\n \"37928\": \"True or false, their government was once in exile\"\n },\n {\n \"37929\": \"What kind of economy did they have from 48-90\"\n },\n {\n \"37930\": \"What was the Prague Spring?\"\n },\n {\n \"37931\": \"When did this occur?\"\n },\n {\n \"37932\": \"What type of terrain do they have?\"\n },\n {\n \"37933\": \"Did they have mountains?\"\n },\n {\n \"37934\": \"What body of water is present?\"\n },\n {\n \"37935\": \"What river speicifcally?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"37918\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37919\",\n \"answer\": \"1948 to 1990\"\n },\n {\n \"question_id\": \"37920\",\n \"answer\": \"Czechoslovakia split into the two sovereign states\"\n },\n {\n \"question_id\": \"37921\",\n \"answer\": \"Czech Republic and Slovakia.\"\n },\n {\n \"question_id\": \"37922\",\n \"answer\": \"1 January 1993.\"\n },\n {\n \"question_id\": \"37923\",\n \"answer\": \"Austro-Hungarian Empire\"\n },\n {\n \"question_id\": \"37924\",\n \"answer\": \"Czech and , \\\"\\u010cesko-Slovensko\"\n },\n {\n \"question_id\": \"37925\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37926\",\n \"answer\": \"Central Europe\"\n },\n {\n \"question_id\": \"37927\",\n \"answer\": \"October 1918\"\n },\n {\n \"question_id\": \"37928\",\n \"answer\": \"True\"\n },\n {\n \"question_id\": \"37929\",\n \"answer\": \"a command economy.\"\n },\n {\n \"question_id\": \"37930\",\n \"answer\": \"A period of political liberalization\"\n },\n {\n \"question_id\": \"37931\",\n \"answer\": \"1968\"\n },\n {\n \"question_id\": \"37932\",\n \"answer\": \"irregular\"\n },\n {\n \"question_id\": \"37933\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"37934\",\n \"answer\": \"River basin\"\n },\n {\n \"question_id\": \"37935\",\n \"answer\": \"Danube\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX \n\nTHE DESERTED TEPEES \n\nStarting at daybreak, they reached a hillside overlooking the Stony village on the third afternoon. Surrounded by willows and ragged spruces, the conical tepees rose in the plain beneath, but Blake stopped abruptly as he caught sight of them. They were white to the apex, where the escaping heat of the fire within generally melted the snow, and no curl of smoke floated across the clearing. The village was ominously silent and had a deserted look. \n\n\"I'm very much afraid Clarke's friends are not at home,\" Blake said with forced calm. \"We'll know more about it in half an hour; that is, if you think it worth while to go down.\" \n\nHarding and Benson were silent a moment, struggling with their disappointment. They had made a toilsome journey to reach the village, their food was nearly exhausted, and it would cost them two days to return to the valley, which was their best road to the south. \n\n\"Now that we're here, we may as well spend another hour over the job,\" Harding decided. \"It's possible they haven't packed all their food along.\" \n\nHis companions suspected that they were wasting time, but they followed him down the hill, until Benson, who was a short distance to one side of them, called out. When they joined him he indicated a row of footsteps leading up the slope. \n\n\"That fellow hasn't been gone very long; there was snow yesterday,\" he said. \"By the line he took, he must have passed near us. I wonder why he stayed on after the others.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13366\": \"How long did it take them to get to the village?\"\n },\n {\n \"13367\": \"Were there many people there?\"\n },\n {\n \"13368\": \"How long would it take them to reach the village?\"\n },\n {\n \"13369\": \"According to whom?\"\n },\n {\n \"13370\": \"Whose friends were they looking for?\"\n },\n {\n \"13371\": \"Were they disappointed?\"\n },\n {\n \"13372\": \"How long would it take them to go another way?\"\n },\n {\n \"13373\": \"Which direction was that?\"\n },\n {\n \"13374\": \"Had it been an easy trip?\"\n },\n {\n \"13375\": \"What were they running low on?\"\n },\n {\n \"13376\": \"Who suggested checking the village, anyway?\"\n },\n {\n \"13377\": \"Did everyone else agree?\"\n },\n {\n \"13378\": \"What did they see on the hillside?\"\n },\n {\n \"13379\": \"Were they fresh?\"\n },\n {\n \"13380\": \"How did they know?\"\n },\n {\n \"13381\": \"Where did the trail go?\"\n },\n {\n \"13382\": \"Did the men see smoke?\"\n },\n {\n \"13383\": \"Which type of trees caught Blake's eyes?\"\n },\n {\n \"13384\": \"What was the name of the village?\"\n },\n {\n \"13385\": \"What time of day did they arrive?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13366\",\n \"answer\": \"three days\"\n },\n {\n \"question_id\": \"13367\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13368\",\n \"answer\": \"half an hour\"\n },\n {\n \"question_id\": \"13369\",\n \"answer\": \"Blake\"\n },\n {\n \"question_id\": \"13370\",\n \"answer\": \"Clarke's\"\n },\n {\n \"question_id\": \"13371\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"13372\",\n \"answer\": \"two days\"\n },\n {\n \"question_id\": \"13373\",\n \"answer\": \"south\"\n },\n {\n \"question_id\": \"13374\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13375\",\n \"answer\": \"food\"\n },\n {\n \"question_id\": \"13376\",\n \"answer\": \"Harding\"\n },\n {\n \"question_id\": \"13377\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13378\",\n \"answer\": \"footsteps\"\n },\n {\n \"question_id\": \"13379\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13380\",\n \"answer\": \"there was snow yesterday\"\n },\n {\n \"question_id\": \"13381\",\n \"answer\": \"near them\"\n },\n {\n \"question_id\": \"13382\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13383\",\n \"answer\": \"conical tepee\"\n },\n {\n \"question_id\": \"13384\",\n \"answer\": \"Stony village\"\n },\n {\n \"question_id\": \"13385\",\n \"answer\": \"daybreak\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 HAND OF MISFORTUNE \n\nBetween the two men, seated opposite each other in the large but somewhat barely furnished office, the radical differences, both in appearance and mannerisms, perhaps, also, in disposition, had never been more strongly evident. They were partners in business and face to face with ruin. Stephen Laverick, senior member of the firm, although an air of steadfast gloom had settled upon his clean-cut, powerful countenance, retained even in despair something of that dogged composure, temperamental and wholly British, which had served him well along the road to fortune. Arthur Morrison, the man who sat on the other side of the table, a Jew to his finger-tips notwithstanding his altered name, sat like a broken thing, with tears in his terrified eyes, disordered hair, and parchment-pale face. Words had flown from his lips in a continual stream. He floundered in his misery, sobbed about it like a child. The hand of misfortune had stripped him naked, and one man, at least, saw him as he really was. \n\n\"I can't stand it, Laverick,--I couldn't face them all. It's too cruel--too horrible! Eighteen thousand pounds gone in one week, forty thousand in a month! Forty thousand pounds! Oh, my God!\" \n\nHe writhed in agony. The man on the other side of the table said nothing. \n\n\"If we could only have held on a little longer! 'Unions' must turn! They will turn! Laverick, have you tried all your friends? Think! Have you tried them all? Twenty thousand pounds would see us through it. We should get our own money back--I am sure of it. There's Rendell, Laverick. He'd do anything for you. You're always shooting or playing cricket with him. Have you asked him, Laverick? He'd never miss the money.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49900\": \"What are the men discussing?\"\n },\n {\n \"49901\": \"Do the men work together?\"\n },\n {\n \"49902\": \"What room are they in?\"\n },\n {\n \"49903\": \"Who is it suggested to ask for money?\"\n },\n {\n \"49904\": \"What game does he play with Laverick?\"\n },\n {\n \"49905\": \"Are either of the men crying?\"\n },\n {\n \"49906\": \"Who?\"\n },\n {\n \"49907\": \"Is the other man emotional?\"\n },\n {\n \"49908\": \"Are they seated beside one another?\"\n },\n {\n \"49909\": \"How long did it take to lose the money?\"\n },\n {\n \"49910\": \"Did they feel that they could have prevented it?\"\n },\n {\n \"49911\": \"What?\"\n },\n {\n \"49912\": \"Do they believe that they will?\"\n },\n {\n \"49913\": \"Do they need all of the money back to turn things around?\"\n },\n {\n \"49914\": \"How much do they need?\"\n },\n {\n \"49915\": \"Would that be a burden for Rendell to give them?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"49900\",\n \"answer\": \"The loss of forty thousand pounds.\"\n },\n {\n \"question_id\": \"49901\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49902\",\n \"answer\": \"An office.\"\n },\n {\n \"question_id\": \"49903\",\n \"answer\": \"Rendell\"\n },\n {\n \"question_id\": \"49904\",\n \"answer\": \"Cricket.\"\n },\n {\n \"question_id\": \"49905\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49906\",\n \"answer\": \"Arthur Morrison\"\n },\n {\n \"question_id\": \"49907\",\n \"answer\": \"no.\"\n },\n {\n \"question_id\": \"49908\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"49909\",\n \"answer\": \"A month\"\n },\n {\n \"question_id\": \"49910\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"49911\",\n \"answer\": \"By the Unions turning.\"\n },\n {\n \"question_id\": \"49912\",\n \"answer\": \"One seems to believe the will.\"\n },\n {\n \"question_id\": \"49913\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"49914\",\n \"answer\": \"Twenty thousand pounds\"\n },\n {\n \"question_id\": \"49915\",\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 III \n\nOUT OF PERIL \n\n\"Oh look! May and Fred have both gone down!\" cried Ruth. \n\n\"Yes, and there go Andy and Randy over them!\" exclaimed Jack. \n\n\"And look, Jack, the ice is cracking everywhere!\" continued the frightened girl. She clutched his arm and looked appealingly into his face. \"Oh! what shall we do?\" \n\n\"Spread out, you fellows! Spread out!\" yelled the oldest Rover boy. \"Spread out! Don't keep together!\" \n\nHis cry was heard, and an instant later Andy commenced to roll over on the ice in one direction while his twin rolled in another. In the meantime, Fred had managed to scramble to his feet, and now he pulled up May. \n\n\"Come on, we'll soon be out of danger,\" encouraged the youngest Rover; and, striking out, he pulled May behind him, the girl being too excited to skate. \n\nIn less than a minute the danger, so far as it concerned the Rovers and the two girls from Clearwater Hall, was past. All reached a point where the ice was perfectly firm. Here Ruth speedily gained her self-possession, but May continued to cling closely to Fred's arm. \n\n\"I'm going to see how they are making out in front of the boathouse!\" cried Randy. \"Some of the skaters must have gotten in.\" \n\n\"I'm with you,\" returned his twin. He looked back at his cousins. \"I suppose you will look after the girls?\" \n\n\"Sure!\" answered Jack quickly. \"Go ahead.\" \n\n\"I don't suppose we can be of any assistance down there?\" came from Fred. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36251\": \"Was anyone in danger?\"\n },\n {\n \"36252\": \"What was wrong?\"\n },\n {\n \"36253\": \"Did anyone fall in?\"\n },\n {\n \"36254\": \"How many?\"\n },\n {\n \"36255\": \"Who?\"\n },\n {\n \"36256\": \"Who else had fallen?\"\n },\n {\n \"36257\": \"Who got up first?\"\n },\n {\n \"36258\": \"Who did he help?\"\n },\n {\n \"36259\": \"Who gave orders when the accident occured?\"\n },\n {\n \"36260\": \"Wherer were the girls from?\"\n },\n {\n \"36261\": \"Did May wander away from people?\"\n },\n {\n \"36262\": \"Who was she near?\"\n },\n {\n \"36263\": \"Were they in peril for a long time?\"\n },\n {\n \"36264\": \"How long then?\"\n },\n {\n \"36265\": \"What was someone in front of?\"\n },\n {\n \"36266\": \"What activity were they wanting to participate in?\"\n },\n {\n \"36267\": \"What happened to the skaters?\"\n },\n {\n \"36268\": \"Who alerted them to this?\"\n },\n {\n \"36269\": \"Did anyone agree with him?\"\n },\n {\n \"36270\": \"Who?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"36251\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36252\",\n \"answer\": \"the ice is cracking\"\n },\n {\n \"question_id\": \"36253\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36254\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"36255\",\n \"answer\": \"May and Fred\"\n },\n {\n \"question_id\": \"36256\",\n \"answer\": \"Andy and Randy\"\n },\n {\n \"question_id\": \"36257\",\n \"answer\": \"Fred\"\n },\n {\n \"question_id\": \"36258\",\n \"answer\": \"May\"\n },\n {\n \"question_id\": \"36259\",\n \"answer\": \"the oldest Rover boy.\"\n },\n {\n \"question_id\": \"36260\",\n \"answer\": \"Clearwater Hall\"\n },\n {\n \"question_id\": \"36261\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"36262\",\n \"answer\": \"Fred\"\n },\n {\n \"question_id\": \"36263\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"36264\",\n \"answer\": \"less than a minute\"\n },\n {\n \"question_id\": \"36265\",\n \"answer\": \"the boathouse\"\n },\n {\n \"question_id\": \"36266\",\n \"answer\": \"getting in\"\n },\n {\n \"question_id\": \"36267\",\n \"answer\": \"they must have gotten in.\"\n },\n {\n \"question_id\": \"36268\",\n \"answer\": \"Randy\"\n },\n {\n \"question_id\": \"36269\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"36270\",\n \"answer\": \"his twin\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Our new neighbours are the Browns. They have two children, a boy and a girl. The boy is Jack and the girl is Alice. Jack is 11, and he is one year older than me. Alice and my sister Nancy are 8 years old. At weekends, Nancy and I like to go to play with Alice and Jack. Both Jack and I really enjoy playing computer games. Sometimes the girls join us, but the games they enjoy are different from the ones we like. There is a big park near our house. Sometimes, when the weather is fine, the four of us will go for bike rides there. We often stop at the huge playground to have some fun. Jack and I like to play basketball, but the girls prefer to sing and dance. Our families often have dinner together. On some days, they come over to our house and on other days, we go over to theirs. Mr Brown and his wife cook really well. Nancy and I are very glad to have the Browns next door. It's great to have friends living so near.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61638\": \"Who are the new neighbors\"\n },\n {\n \"61639\": \"Do they live close?\"\n },\n {\n \"61640\": \"Where?\"\n },\n {\n \"61641\": \"How many children are there?\"\n },\n {\n \"61642\": \"Are the boys are girls older?\"\n },\n {\n \"61643\": \"Who cooks well?\"\n },\n {\n \"61644\": \"Where do they eat dinner?\"\n },\n {\n \"61645\": \"What do they do on weekends?\"\n },\n {\n \"61646\": \"How old are the girls?\"\n },\n {\n \"61647\": \"Who likes to sing and dance?\"\n },\n {\n \"61648\": \"What do the boys like to do?\"\n },\n {\n \"61649\": \"Do the girls play also?\"\n },\n {\n \"61650\": \"What do the four like to do together?\"\n },\n {\n \"61651\": \"Do they all like basketball?\"\n },\n {\n \"61652\": \"What are the girls names?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61638\",\n \"answer\": \"the Browns\"\n },\n {\n \"question_id\": \"61639\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"61640\",\n \"answer\": \"next door\"\n },\n {\n \"question_id\": \"61641\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"61642\",\n \"answer\": \"boys\"\n },\n {\n \"question_id\": \"61643\",\n \"answer\": \"Mr Brown and his wife\"\n },\n {\n \"question_id\": \"61644\",\n \"answer\": \"together, at one house or the other\"\n },\n {\n \"question_id\": \"61645\",\n \"answer\": \"go to play with Alice and Jack\"\n },\n {\n \"question_id\": \"61646\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"61647\",\n \"answer\": \"the girls\"\n },\n {\n \"question_id\": \"61648\",\n \"answer\": \"playing computer games\"\n },\n {\n \"question_id\": \"61649\",\n \"answer\": \"Sometimes\"\n },\n {\n \"question_id\": \"61650\",\n \"answer\": \"go for bike rides\"\n },\n {\n \"question_id\": \"61651\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"61652\",\n \"answer\": \"Alice and Nancy\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nHAL IS ACCUSED. \n\nWhen Hal Carson locked himself into the closet of the club-room, he realized that he was in a perilous position. \n\nSupposing somebody undertook to open the door? They might suppose it very strange to find the door locked, and think it necessary to open it, in which case he would be discovered in short order. \n\nHe remained perfectly quiet for a long while and heard Churchley admitted, and heard the man seat himself at the center table, and rustle the paper he was perusing. \n\nOf the conversation carried on by Ferris and Hardwick, he heard nothing further, and he was, consequently, totally in the dark concerning the nefarious plot that had been formed to get him into serious trouble. \n\nTen minutes passed, and the youth began to wonder how long he would have to remain a self-made prisoner. \n\nThen all became quiet in the room beyond, and he wondered if Churchley had not joined the two in the adjoining apartment. \n\nHe peered through the key-hole, but could see nothing but a portion of the wall opposite. \n\nGrowing bolder, he turned the key in the lock, and cautiously opened the door for the space of several inches. Looking out, he saw that Churchley still sat at the table, which was but a few feet away. \n\nAt that instant the man moved and gave a deep breath. Hal thought he intended to look around, and hastily closed the door once more. \n\nThe youth's movement was so quick that the door made a sharp sound as the catch clicked. This was followed by the sound made by the key in the lock as Hal once more imprisoned himself. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77569\": \"Who was having a conversation?\"\n },\n {\n \"77570\": \"Who closed himself into the closet?\"\n },\n {\n \"77571\": \"Where was the closet?\"\n },\n {\n \"77572\": \"How long passed before he started to wonder how long he'd be there?\"\n },\n {\n \"77573\": \"Who was still sitting at the table when he opened the door a little?\"\n },\n {\n \"77574\": \"How far away was he?\"\n },\n {\n \"77575\": \"What made a sharp sound?\"\n },\n {\n \"77576\": \"What did he see when he looked through the key hole?\"\n },\n {\n \"77577\": \"What did he realize once he locked himself in?\"\n },\n {\n \"77578\": \"What did he think someone might do if they found the door locked?\"\n },\n {\n \"77579\": \"What did he hear Churley rustle?\"\n },\n {\n \"77580\": \"What was he in the dark about?\"\n },\n {\n \"77581\": \"What did he wonder after it became quiet?\"\n },\n {\n \"77582\": \"What chapter is this?\"\n },\n {\n \"77583\": \"What's the title?\"\n },\n {\n \"77584\": \"Is Hal old?\"\n },\n {\n \"77585\": \"Where was Churchley sitting?\"\n },\n {\n \"77586\": \"How old was he?\"\n },\n {\n \"77587\": \"Why did the door make a sound?\"\n },\n {\n \"77588\": \"What sound was it followed by?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77569\",\n \"answer\": \"Of the conversation carried on by Ferris and Hardwick\"\n },\n {\n \"question_id\": \"77570\",\n \"answer\": \"Hal Carson\"\n },\n {\n \"question_id\": \"77571\",\n \"answer\": \"the club-room\"\n },\n {\n \"question_id\": \"77572\",\n \"answer\": \"Ten minutes\"\n },\n {\n \"question_id\": \"77573\",\n \"answer\": \"Churchley\"\n },\n {\n \"question_id\": \"77574\",\n \"answer\": \"a few feet\"\n },\n {\n \"question_id\": \"77575\",\n \"answer\": \"the door\"\n },\n {\n \"question_id\": \"77576\",\n \"answer\": \"a portion of the wall opposite.\"\n },\n {\n \"question_id\": \"77577\",\n \"answer\": \"that he was in a perilous position.\"\n },\n {\n \"question_id\": \"77578\",\n \"answer\": \"think it necessary to open it,\"\n },\n {\n \"question_id\": \"77579\",\n \"answer\": \"the paper he was perusing.\"\n },\n {\n \"question_id\": \"77580\",\n \"answer\": \"the nefarious plot that had been formed to get him into serious trouble\"\n },\n {\n \"question_id\": \"77581\",\n \"answer\": \"if Churchley had not joined the two in the adjoining apartment.\"\n },\n {\n \"question_id\": \"77582\",\n \"answer\": \"X.\"\n },\n {\n \"question_id\": \"77583\",\n \"answer\": \"HAL IS ACCUSED.\"\n },\n {\n \"question_id\": \"77584\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77585\",\n \"answer\": \"at the table\"\n },\n {\n \"question_id\": \"77586\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"77587\",\n \"answer\": \"the catch clicked.\"\n },\n {\n \"question_id\": \"77588\",\n \"answer\": \"the sound made by the key\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Eight-year-old Jesse Abrogate was playing in the sea late one evening in July 2001 when a 7-foot bull shark attacked him and tore off his arm. Jesse's uncle jumped into the sea and dragged the boy to the store. The boy was not breathing. His aunt gave him mouth-to-mouth resuscitation while his uncle rang the emergency services. Pretty soon, a helicopter arrived and flew the boy to hospital. It was a much quicker journey than the journey by road. \n\nJesse's uncle, Vance Folsenzier, ran back into the sea and found the shark that had attacked his nephew. He picked the shark up and threw it onto the beach. A coastguard shot the fish four times and although this didn't kill it, the shark's jaws relaxed so that they could open them, and reach down onto its stomach, and pull out the boy's arm. \n\nAt the Baptist hospital in Pensacola, Dr Lan Rogers spent eleven hours reattaching Jesse's arm. \"It was a complicated operation,\" he said, \"but we were lucky. If the arm hadn't been recovered in time, we wouldn't have been able to do the operation at all. What I means is that if they hadn't found the shark, well then we wouldn't have had a chance.\" \n\nAccording to local park ranger Jack Tomosvic, shark attacks are not that common. \"Jesse was just unlucky\" he says, \"Evening is the shark's feeding time. And Jesse was in the area without lifeguards. This would never have happened if he had been in the area where swimming is allowed.\" When reporters asked Jesse's uncle how he had had the courage to fight a shark , he replied, \"I was mad and you do some strange things when you're mad.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47794\": \"How old is Jesse Abrogate?\"\n },\n {\n \"47795\": \"What was he attacked by?\"\n },\n {\n \"47796\": \"What did the shark do?\"\n },\n {\n \"47797\": \"Who attempted to save him?\"\n },\n {\n \"47798\": \"How did he get to the hospital?\"\n },\n {\n \"47799\": \"What was his uncles name?\"\n },\n {\n \"47800\": \"What did he go back to the sea for?\"\n },\n {\n \"47801\": \"How many hours did it take to reattach the arm?\"\n },\n {\n \"47802\": \"Are shark attacks common, according to the ranger?\"\n },\n {\n \"47803\": \"When do sharks typically eat?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47794\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"47795\",\n \"answer\": \"a bull shark\"\n },\n {\n \"question_id\": \"47796\",\n \"answer\": \"tore off his arm\"\n },\n {\n \"question_id\": \"47797\",\n \"answer\": \"Jesse's uncle and aunt\"\n },\n {\n \"question_id\": \"47798\",\n \"answer\": \"helicopter\"\n },\n {\n \"question_id\": \"47799\",\n \"answer\": \"Vance Folsenzier\"\n },\n {\n \"question_id\": \"47800\",\n \"answer\": \"to catch the shark\"\n },\n {\n \"question_id\": \"47801\",\n \"answer\": \"eleven\"\n },\n {\n \"question_id\": \"47802\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47803\",\n \"answer\": \"in the evening\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Warner Bros. Records Inc. is an American major record label established in 1958 as the foundation label of the present-day Warner Music Group (WMG), and now operates as a wholly owned subsidiary of that corporation. Warner Bros. Records was established on March 19, 1958, as the recorded-music division of the American film studio Warner Bros.. For most of its early existence it was one of a group of labels owned and operated by larger parent corporations. The sequence of companies that controlled Warner Bros. and its allied labels evolved through a convoluted series of corporate mergers and acquisitions from the early 1960s to the early 2000s. Over this period, Warner Bros. Records grew from a struggling minor player in the music industry to become one of the top recording labels in the world. \n\nIn 2003, these music assets were divested by their then owner Time Warner and purchased by a private equity group. This independent company traded as the Warner Music Group before being bought by Access Industries in 2011. WMG is the smallest of the three major international music conglomerates and the world's last publicly traded major music company. Cameron Strang serves as CEO of the company. \n\nArtists currently signed to Warner Bros. Records include Sleeping with Sirens, Cher, Kylie Minogue, Kimbra, the Goo Goo Dolls, Sheryl Crow, Ciara, Gorillaz, Adam Lambert, Bette Midler, Blur, Duran Duran, Fleet Foxes, Jason Derulo, Kid Rock, Lily Allen, Linkin Park, Muse, Nile Rodgers, the Red Hot Chili Peppers, the Black Keys, My Chemical Romance and Regina Spektor.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28429\": \"when were the music assets sold?\"\n },\n {\n \"28430\": \"who was the parent company?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28429\",\n \"answer\": \"In 2003\"\n },\n {\n \"question_id\": \"28430\",\n \"answer\": \"Time Warner\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Country singer Kevin Sharp, best known for his hit \"Nobody Knows,\" has died from \"complications due to cancer,\" his mother said. He was 43. \n\nSharp was diagnosed with cancer as a teenager. He was treated, and the disease did not reoccur, but he had problems later in life because of the radiation and chemotherapy he underwent, Elaine Sharp said. \n\nShe said her son died Saturday night at her home in Fair Oaks, California. \n\n\"He had a good, strong heart,\" she said. \"He's not hurting anymore.\" \n\nHis website added that he died \"due to ongoing complications from past stomach surgeries and digestive issues.\" \n\nSharp grew up wanting to be a singer. According to a 1998 story from Music City News, Sharp -- who grew up in a large family that included a number of foster children -- was a high school athlete and participated in a Sacramento, California, light-opera company. \n\nIt was during his senior year in high school that he was diagnosed with a rare form of bone cancer that had spread to his lungs. The ailment led to Sharp meeting producer and songwriter David Foster through the Make-a-Wish Foundation. \n\nFoster, known for his work with such artists as Celine Dion and Michael Buble, helped support Sharp through years of chemotherapy and a determination to wean himself from painkillers after the cancer went into remission. \n\nIn the mid-'90s, after working at an amusement park to make ends meet, Sharp landed a record deal and went to No. 1 on the country charts with \"Nobody Knows.\" He followed that hit with a handful of others, including \"She's Sure Taking It Well\" and \"If You Love Somebody.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60647\": \"did Sharp grow up in a large family?\"\n },\n {\n \"60648\": \"When was he diagnosed with cancer?\"\n },\n {\n \"60649\": \"Where did he die?\"\n },\n {\n \"60650\": \"did he grow up wanting to sing?\"\n },\n {\n \"60651\": \"Who died?\"\n },\n {\n \"60652\": \"What kind of cancer did he have?\"\n },\n {\n \"60653\": \"was he a high school athlete?\"\n },\n {\n \"60654\": \"What producer did he meet?\"\n },\n {\n \"60655\": \"Where did Sharp work in the mid-90\\u2019s?\"\n },\n {\n \"60656\": \"What caused his death?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"60647\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"60648\",\n \"answer\": \"his senior year in high school\"\n },\n {\n \"question_id\": \"60649\",\n \"answer\": \"at her home in Fair Oaks, California\"\n },\n {\n \"question_id\": \"60650\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"60651\",\n \"answer\": \"Kevin Sharp\"\n },\n {\n \"question_id\": \"60652\",\n \"answer\": \"bone cancer\"\n },\n {\n \"question_id\": \"60653\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"60654\",\n \"answer\": \"David Foster\"\n },\n {\n \"question_id\": \"60655\",\n \"answer\": \"an amusement park\"\n },\n {\n \"question_id\": \"60656\",\n \"answer\": \"complications due to cancer,\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nIN LOWER EGYPT. \n\n\"I am going on a journey,\" Ameres said to his son a few days after the return from the farm. \"I shall take you with me, Chebron, for I am going to view the progress of a fresh canal that is being made on our estate in Goshen. The officer who is superintending it has doubts whether, when the sluices are opened, it will altogether fulfill its purpose, and I fear that some mistake must have been made in the levels. I have already taught you the theory of the work; it is well that you should gain some practical experience in it; for there is no more useful or honorable profession than that of carrying out works by which the floods of the Nile are conveyed to the thirsty soil.\" \n\n\"Thank you, father. I should like it greatly,\" Chebron replied in a tone of delight, for he had never before been far south of Thebes. \"And may Amuba go with us?\" \n\n\"Yes; I was thinking of taking him,\" the high priest said. \"Jethro can also go, for I take a retinue with me. Did I consult my own pleasure I would far rather travel without this state and ceremony; but as a functionary of state I must conform to the customs. And, indeed, even in Goshen it is as well always to travel in some sort of state. The people there are of a different race to ourselves. Although they have dwelt a long time in the land and conform to its customs, still they are notoriously a stubborn and obstinate people, and there is more trouble in getting the public works executed there than in any other part of the country.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65501\": \"Who is having a conversation?\"\n },\n {\n \"65502\": \"What's the dad's name?\"\n },\n {\n \"65503\": \"And the son's?\"\n },\n {\n \"65504\": \"Where was the canal being built?\"\n },\n {\n \"65505\": \"Where in Goshen?\"\n },\n {\n \"65506\": \"Who did Chebron want to accompany them?\"\n },\n {\n \"65507\": \"Was the father agreeable?\"\n },\n {\n \"65508\": \"Who did the father want to take?\"\n },\n {\n \"65509\": \"What did the dad think was the problem with the canal?\"\n },\n {\n \"65510\": \"What was the son already schooled in?\"\n },\n {\n \"65511\": \"What part of the work?\"\n },\n {\n \"65512\": \"And what would he attain on this trip hopefully?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"65501\",\n \"answer\": \"A father and his son\"\n },\n {\n \"question_id\": \"65502\",\n \"answer\": \"Ameres\"\n },\n {\n \"question_id\": \"65503\",\n \"answer\": \"Chebron\"\n },\n {\n \"question_id\": \"65504\",\n \"answer\": \"Goshen\"\n },\n {\n \"question_id\": \"65505\",\n \"answer\": \"far south of Thebes\"\n },\n {\n \"question_id\": \"65506\",\n \"answer\": \"Amuba\"\n },\n {\n \"question_id\": \"65507\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"65508\",\n \"answer\": \"Jethro\"\n },\n {\n \"question_id\": \"65509\",\n \"answer\": \"that a mistake has been made\"\n },\n {\n \"question_id\": \"65510\",\n \"answer\": \"the work\"\n },\n {\n \"question_id\": \"65511\",\n \"answer\": \"the theory\"\n },\n {\n \"question_id\": \"65512\",\n \"answer\": \"practical experience\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nBLAND MAKES A SACRIFICE \n\nSylvia was sitting by the hearth in Ethel West's drawing-room, her neatly shod feet on the fender, her low chair on the fleecy rug, and she made a very dainty and attractive picture. She felt the cold and hated discomfort of any kind, though it was characteristic of her that she generally succeeded in avoiding it. Ethel sat near by, watching her with calmly curious eyes, for Sylvia was looking pensive. Mrs. Lansing was talking to Stephen West on the opposite side of the large room. \n\n\"How is Edgar getting on?\" Sylvia asked. \"I suppose you hear from him now and then.\" \n\nEthel guessed where the question led and responded with blunt directness. \n\n\"Doesn't George write to you?\" \n\n\"Not often. Herbert has just got a letter, but there was very little information in it; George is not a brilliant correspondent. I thought Edgar might have written by the same mail.\" \n\n\"As it happens, he did,\" said Ethel. \"He describes the cold as fierce, and gives some interesting details of his sensations when the warmth first comes back to his half-frozen hands or limbs; then he adds a vivid account of a blizzard that George and he nearly got lost in.\" \n\n\"Things of that kind make an impression on a new-comer,\" Sylvia languidly remarked. \"One gets used to them after a while. Did he say anything else?\" \n\n\"There was an enthusiastic description of a girl he has met; he declares she's a paragon. This, of course, is nothing new, but it's a little astonishing that he doesn't seem to contemplate making love to her in his usual haphazard manner. She seems to have inspired him with genuine respect.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92367\": \"Who almost got lost in a bad snowstorm?\"\n },\n {\n \"92368\": \"Who told of the snow?\"\n },\n {\n \"92369\": \"What is her last name?\"\n },\n {\n \"92370\": \"Who was she with?\"\n },\n {\n \"92371\": \"Where were they?\"\n },\n {\n \"92372\": \"Was anybody else there?\"\n },\n {\n \"92373\": \"Who?\"\n },\n {\n \"92374\": \"What were they doing?\"\n },\n {\n \"92375\": \"Were they in the same part of the house?\"\n },\n {\n \"92376\": \"Where?\"\n },\n {\n \"92377\": \"Who did Sylvia inquire about?\"\n },\n {\n \"92378\": \"Does she get letters from George?\"\n },\n {\n \"92379\": \"Did anybody get something in the mail?\"\n },\n {\n \"92380\": \"Was his correspondence informative?\"\n },\n {\n \"92381\": \"Was he in a warm place?\"\n },\n {\n \"92382\": \"Who was with him?\"\n },\n {\n \"92383\": \"Was anyone else mentioned in the correspondence?\"\n },\n {\n \"92384\": \"How is she described?\"\n },\n {\n \"92385\": \"Does he want to have relations with her?\"\n },\n {\n \"92386\": \"What does she inspire in him?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"92367\",\n \"answer\": \"George and Edgar\"\n },\n {\n \"question_id\": \"92368\",\n \"answer\": \"Ethel\"\n },\n {\n \"question_id\": \"92369\",\n \"answer\": \"West\"\n },\n {\n \"question_id\": \"92370\",\n \"answer\": \"Sylvia\"\n },\n {\n \"question_id\": \"92371\",\n \"answer\": \"Ethel West's drawing-room\"\n },\n {\n \"question_id\": \"92372\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92373\",\n \"answer\": \"Mrs. Lansing and Stephen West\"\n },\n {\n \"question_id\": \"92374\",\n \"answer\": \"talking\"\n },\n {\n \"question_id\": \"92375\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92376\",\n \"answer\": \"the opposite side of the large room\"\n },\n {\n \"question_id\": \"92377\",\n \"answer\": \"Edgar\"\n },\n {\n \"question_id\": \"92378\",\n \"answer\": \"Not often\"\n },\n {\n \"question_id\": \"92379\",\n \"answer\": \"Herbert\"\n },\n {\n \"question_id\": \"92380\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92381\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92382\",\n \"answer\": \"Edgar\"\n },\n {\n \"question_id\": \"92383\",\n \"answer\": \"a girl\"\n },\n {\n \"question_id\": \"92384\",\n \"answer\": \"a paragon\"\n },\n {\n \"question_id\": \"92385\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"92386\",\n \"answer\": \"genuine respect\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jamey really wanted a pet dog, so he went to ask his parents. \n\n\"Mom, Dad, can I we get a dog?\" \n\nJamey's mom and dad thought about this, and then answered him. \n\n\"Having a pet can be a lot of work, Jamey. When you own a dog, you have to feed him, and take him for walks, and clean up after him. You even have to do those things when you would rather be playing or watching TV. If you promise to help take care of him, we'll get a dog.\" \n\nJamey was very happy to hear this! The next weekend, his mom and dad took him to a big building where puppies and kittens without homes were kept. It was very noisy inside! Jamey looked at a big yellow dog first. \n\n\"This dog is pretty big, Jamey,\" his father said. \"He might need a bigger yard to run around in than we have.\" \n\nJamey thought that Dad was right about that. The next dog Jamey looked at was a very small white dog. It barked over and over again as Jamey and his mother looked at it. \n\n\"This dog is very noisy Jamey. He might need a lot of attention from you. Do you think you want to give this puppy that much attention?\" \n\nJamey wasn't sure he could give the little white dog all the time it needed to be happy. Finally Jamey looked at a third dog, a brown dog that was bigger than the white dog, but smaller than the yellow one. The dog came over to Jamey right away and seemed to love to be petted and fussed over. \n\n\"Do you like the brown dog?\" asked Jamey's dad. \n\n\"Yes!\" said Jamey. \"Can we get him?\" \n\n\"Will you feed him and walk him every afternoon when you get home from school?\" asked Jamey's mom. \n\n\"I promise,\" said Jamey. \n\n\"In that case, I guess we have a dog!\" \n\nThis made Jamey very happy.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7550\": \"Who wanted a dog?\"\n },\n {\n \"7551\": \"Are they a boy or a girl?\"\n },\n {\n \"7552\": \"Who took him to get a dog?\"\n },\n {\n \"7553\": \"When did they go to get the dog?\"\n },\n {\n \"7554\": \"Was it a quiet place?\"\n },\n {\n \"7555\": \"What dog did he pick out first?\"\n },\n {\n \"7556\": \"And second?\"\n },\n {\n \"7557\": \"Why did he decide against the second dog?\"\n },\n {\n \"7558\": \"What dog did he pick?\"\n },\n {\n \"7559\": \"Was he smaller than the second dog?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7550\",\n \"answer\": \"Jamey\"\n },\n {\n \"question_id\": \"7551\",\n \"answer\": \"boy\"\n },\n {\n \"question_id\": \"7552\",\n \"answer\": \"his mom and dad\"\n },\n {\n \"question_id\": \"7553\",\n \"answer\": \"next weekend\"\n },\n {\n \"question_id\": \"7554\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"7555\",\n \"answer\": \"big yellow dog\"\n },\n {\n \"question_id\": \"7556\",\n \"answer\": \"small white dog\"\n },\n {\n \"question_id\": \"7557\",\n \"answer\": \"He might need a lot of attention\"\n },\n {\n \"question_id\": \"7558\",\n \"answer\": \"brown dog\"\n },\n {\n \"question_id\": \"7559\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It's a grass-roots protest movement composed of the newly politicized and people distrustful of hierarchy. So how is it possible to be an illegitimate Tea Party member? \n\nAsk Republicans in Nevada. Some are accusing Jon Scott Ashjian, a new Tea Party candidate running for U.S. Senate, of being a fake. The allegation? He was put in the race by agents of Senate Majority Leader Harry Reid to siphon votes from the GOP. \n\n\"No doubt about it,\" says Danny Tarkanian, one of the many Republican Senate candidates hoping to challenge Reid in November. \n\n\"Nobody in the Tea Party knows who he is. He didn't know any of the principles of the Tea Party,\" Tarkanian tells CNN. \n\nTarkanian even accuses \"Harry Reid's staff, campaign, whatever\" of picking Ashjian because he's Armenian, as is Tarkanian. He explains, \"They know the Armenians are very close, they'll vote for each other.\" \n\nAs for Reid, an aide dismisses the accusations. As does Reid, who says he's never met Ashjian or \"anyone in his family.\" Reid tells CNN, \"I think there are too many conspiratorialists in the world today. This is a free country.\" \n\nSue Lowden, the Republican front-runner in the Senate primary, according to recent polls, is the former Nevada Republican Party chair and seems to be the Republicans' best hope of unseating Reid in November. Or at least she did, until Ashjian got into the race. \n\nLowden says she's been very active with Tea Party groups in Nevada. \"I am a Tea Party voter, absolutely.\" Which is why she says she finds it \"a little strange\" that Ashjian is emerging now. \"I don't know who this person is. He's never been involved with anything that I'm aware of in this state.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"78492\": \"Who is Jon Scott Ashjian?\"\n },\n {\n \"78493\": \"For which party?\"\n },\n {\n \"78494\": \"Why was he put into the race?\"\n },\n {\n \"78495\": \"Does he know tea party ideals?\"\n },\n {\n \"78496\": \"Who is Harry Reid?\"\n },\n {\n \"78497\": \"What is Ashjian's nationality?\"\n },\n {\n \"78498\": \"Who else is also?\"\n },\n {\n \"78499\": \"Does Reid admit to pushing Ashjian into the race?\"\n },\n {\n \"78500\": \"Who is the Republican front runner?\"\n },\n {\n \"78501\": \"She is the former chair of what?\"\n },\n {\n \"78502\": \"Does she participate in the Tea Party?\"\n },\n {\n \"78503\": \"Does she recognize Ashjian?\"\n },\n {\n \"78504\": \"Has he been active in Tea Party politics?\"\n },\n {\n \"78505\": \"When is the election?\"\n },\n {\n \"78506\": \"Why does Tarkanian think Reid picked Ashjian?\"\n },\n {\n \"78507\": \"Who dismissed the allegations?\"\n },\n {\n \"78508\": \"What does he claim there are too many of today?\"\n },\n {\n \"78509\": \"Which news station did he speak to?\"\n },\n {\n \"78510\": \"How many other candidates are in the race?\"\n },\n {\n \"78511\": \"Who said they are a tea party voter?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"78492\",\n \"answer\": \"senate candidate\"\n },\n {\n \"question_id\": \"78493\",\n \"answer\": \"Tea Party\"\n },\n {\n \"question_id\": \"78494\",\n \"answer\": \"to siphon votes\"\n },\n {\n \"question_id\": \"78495\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78496\",\n \"answer\": \"Senate Majority Leader\"\n },\n {\n \"question_id\": \"78497\",\n \"answer\": \"Armenian\"\n },\n {\n \"question_id\": \"78498\",\n \"answer\": \"Tarkanian\"\n },\n {\n \"question_id\": \"78499\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78500\",\n \"answer\": \"Sue Lowden\"\n },\n {\n \"question_id\": \"78501\",\n \"answer\": \"Nevada Republican Party chair\"\n },\n {\n \"question_id\": \"78502\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"78503\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78504\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"78505\",\n \"answer\": \"November\"\n },\n {\n \"question_id\": \"78506\",\n \"answer\": \"because Armenians are very close, they'll vote for each other.\\\"\"\n },\n {\n \"question_id\": \"78507\",\n \"answer\": \"Reid's aide\"\n },\n {\n \"question_id\": \"78508\",\n \"answer\": \"conspiratorialists\"\n },\n {\n \"question_id\": \"78509\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"78510\",\n \"answer\": \"4, that are listed in the story\"\n },\n {\n \"question_id\": \"78511\",\n \"answer\": \"Lowden\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 an NBA player is young he thinks he can win the championship by himself. It is only later when he has aged and been through many battles that he learns an important lesson: there is no \"I \" in \"team\". \n\nThere is no better example of the value of teamwork than the Boston Celtics. Paul Pierce, Ray Allen and Kevin Garnett were all superstars on three different teams. Yet, none of them had any titles to show for it. Then, last season, they decided to sacrifice money and individual statistics to play together. Garnett and Allen joined Pierce on the Celtics and changed the NBA in the process. \n\nIt started in simple ways. Garnett and Allen are two of the most intense athletes in the world. They treat every second of every practice like it is the NBA championship. If you want to play alongside them then you will have to do the same. So, the young guys on the Celtics started giving their full effort too. \n\nPierce had been the star of the Celtics for many years. He used to shoot the ball many times a game. But with the addition of Allen and Garnett he shot less and focused on defense. His selflessness showed the young players that doing what made the team better was the only thing that mattered. \n\nWhen the Celtics were winning and the game was almost over, Garnett, Pierce and Allen would come out of the game. But they wouldn't just sit on the bench. Instead, they stood and cheered and screamed for their teammates. They wanted to support their friends and teammates. \n\nNow, the guys who don't play know they can still affect the game by cheering so they scream and cheer when Garnett, Allen and Pierce are playing. The Celtics have developed a strong relationship. They are more than just teammates. They are brothers. \n\nThe result: the Boston Celtics won the championship and are considered the favorites to win the Eastern Conference championship again this year. \n\nThere is a saying that goes, \"A successful team beats with one heart.\" If that is the case, the Celtics may have the biggest heart in the NBA.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"58252\": \"What is the important thing to learn?\"\n },\n {\n \"58253\": \"Which one?\"\n },\n {\n \"58254\": \"Who doesn't know this?\"\n },\n {\n \"58255\": \"how so?\"\n },\n {\n \"58256\": \"Does he ever learn this lesson?\"\n },\n {\n \"58257\": \"When?\"\n },\n {\n \"58258\": \"Who are Paul, Ray, and Kevin?\"\n },\n {\n \"58259\": \"Are they on the same team?\"\n },\n {\n \"58260\": \"What did they do?\"\n },\n {\n \"58261\": \"how did they do that?\"\n },\n {\n \"58262\": \"Was Pierce soon to follow?\"\n },\n {\n \"58263\": \"Why not?\"\n },\n {\n \"58264\": \"Was he a bench player?\"\n },\n {\n \"58265\": \"Did he get the ball as much when the others joined the team?\"\n },\n {\n \"58266\": \"What did he do then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"58252\",\n \"answer\": \"A lesson\"\n },\n {\n \"question_id\": \"58253\",\n \"answer\": \"There is no \\\"I \\\" in \\\"team\\\".\"\n },\n {\n \"question_id\": \"58254\",\n \"answer\": \"A young NBA player\"\n },\n {\n \"question_id\": \"58255\",\n \"answer\": \"he thinks he can win the championship by himself\"\n },\n {\n \"question_id\": \"58256\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"58257\",\n \"answer\": \"Later, when he has aged\"\n },\n {\n \"question_id\": \"58258\",\n \"answer\": \"NBA players.\"\n },\n {\n \"question_id\": \"58259\",\n \"answer\": \"Three different teams.\"\n },\n {\n \"question_id\": \"58260\",\n \"answer\": \"Sacrificed their records and money to play together.\"\n },\n {\n \"question_id\": \"58261\",\n \"answer\": \"Garnet and Allen left their teams to go to the Celtics.\"\n },\n {\n \"question_id\": \"58262\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"58263\",\n \"answer\": \"He already played for the Celtics.\"\n },\n {\n \"question_id\": \"58264\",\n \"answer\": \"No, a star player.\"\n },\n {\n \"question_id\": \"58265\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"58266\",\n \"answer\": \"Shot less and focused on defense.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Lady Gaga reached an out-of-court settlement with her former assistant who sued for unpaid overtime, according to a court filing. \n\nDetails of the deal were not revealed in a document filed in court last week asking the clerk to close the case. \n\nThe lawsuit, which sought $350,000 in back pay from the singer, had been set for trial in New York starting next week. U.S. District Judge Paul G. Gardephe ruled last month against Gaga's lawyer's request that the case be dismissed. \n\nIn her lawsuit, Jennifer O'Neill says that she worked \"24/7\" as Gaga's personal assistant. \n\nO'Neill was employed in early 2009, and again from February 2010 to March 2011. After she was rehired, she was told her annual salary would be $75,000. \n\n\"Every day is a work day for her, so every day is a work day for the rest of us,\" O'Neill said, according to court documents. \n\n\"There is no, we're going to stay in, we're going to sleep. There is no, let's put on sweatpants and go out to the movies and be girlfriends. It doesn't work like that.\" \n\nGaga, whose real name is Stefani Germanotta, testified that O'Neill \"deserves every one of her $75,000 that we agreed to. But she does not deserve a penny more.\" \n\nCNN's Carolyn Sung, Rachel Wells and Susan Candiotti contributed this report. \n\n\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73842\": \"How much back pay was asked for in the suit?\"\n },\n {\n \"73843\": \"And who was asking for this much?\"\n },\n {\n \"73844\": \"What was her role for Gaga?\"\n },\n {\n \"73845\": \"When did she file papers?\"\n },\n {\n \"73846\": \"When was the trial set ?\"\n },\n {\n \"73847\": \"Where was it to be held?\"\n },\n {\n \"73848\": \"What role did Judge Gardephe play in this case?\"\n },\n {\n \"73849\": \"How much did Jennifer believe she was to be paid as a salary?\"\n },\n {\n \"73850\": \"What was the time frame she worked for gaga?\"\n },\n {\n \"73851\": \"What were her work hours during this time?\"\n },\n {\n \"73852\": \"How does Gaga feel about the claim for more money?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"73842\",\n \"answer\": \"$350,000\"\n },\n {\n \"question_id\": \"73843\",\n \"answer\": \"Jennifer O'Neill\"\n },\n {\n \"question_id\": \"73844\",\n \"answer\": \"personal assistant\"\n },\n {\n \"question_id\": \"73845\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73846\",\n \"answer\": \"next week\"\n },\n {\n \"question_id\": \"73847\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"73848\",\n \"answer\": \"ruled last month against Gaga's lawyer\"\n },\n {\n \"question_id\": \"73849\",\n \"answer\": \"$75,000\"\n },\n {\n \"question_id\": \"73850\",\n \"answer\": \"early 2009, and again from February 2010 to March 2011\"\n },\n {\n \"question_id\": \"73851\",\n \"answer\": \"24/7\"\n },\n {\n \"question_id\": \"73852\",\n \"answer\": \"deserves every one of her $75,000 that we agreed to. But she does not deserve a penny more\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One day in my class, Maria shared her feelings about money, \"Money worries me. I think I want to live without money because I hate it. I HATE MONEY.\" We were all touched by Maria's words as they reminded us of the spiritual burdens that money managing can bring to us. After class I offered to help Maria deal with her financial problems. She hesitated to accept my offer, and I could see from the expression on her face that she was afraid of what it might involve. I quickly promised her that I wouldn't make her do more than she was able to. I told her frankly that I didn't enjoy managing my money any more than she did hers and wouldn't burden her with guilt, judgments, or impossible tasks. All I would ask her to do was to let me help her look at her fears and try to make some sense of them. \n\nMaria still resisted my offer, and I can remember the excuses she gave me as they were the repeated complaints I had heard from so many people. \"I'11 never understand money,\" she said. \"My facts are meaningless.\" \"I don't deserve to have money.\" \"I never have enough,\" \"I have too little to manage.\" \"My financial position isn't worth looking at.\" and the most _ one of all, \"I just can't do it.\" \n\nGoing home that day, I couldn't get Maria out of my mind: Her attitude conveyed the same negativity and fear that I believed annoyed many people. I was sure it was this attitude that prevented people from managing their money effectively. My counseling has taught me that these anxieties are inseparably connected to our self-doubts and fear for survival. Many of us are terrified of handling our money because we don't believe we can do it well, and to do it wrong would put our very existence at risk. \n\nOn a deeper level we know that money is not the source of life, but sense of worth drives us to act as if it were. It locks us up in self-doubts and prevents us from tapping into the true source of our management power, our spirit.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12741\": \"What does Maria hate?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"12741\",\n \"answer\": \"money\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Sri Lankan cricketers have described for the first time how they feared some of their teammates had been killed during a deadly attack on the team bus by gunmen in Pakistan -- and paid tribute to the driver of the bus for saving their lives. \n\nThilan Samaraweera is due to undergo surgery to have a bullet removed from his leg. \n\nSix police officers and a driver were killed in the ambush by around a dozen attackers armed with automatic weapons as the players made their way to Lahore's cricket stadium early Tuesday. \n\nTwo players, Tharanga Paranavitana and Thilan Samaraweera, suffered gunshot wounds to the chest and leg respectively while six others suffered shrapnel wounds. But vice-captain Kumar Sangakkara told CNN he believed Paranavitana had been killed when he collapsed after being shot. \n\n\"I was lying on the ground. I heard Thilan (Samaraweera) groan and I heard Tharanga Paranavitana say something. I turned around and a bullet whizzed past my head and hit the seat in front of me. And then I got hit in the shoulder by shrapnel,\" Sangakkara said. \n\n\"Then I saw Tharanga Paranavitana get up and say 'I've been shot' and then he collapsed on the seat. I really thought he was seriously hurt or even dead.\" Read profiles of the wounded players » \n\nDescribing the initial moments of the ambush, Sri Lanka coach Trevor Bayliss said there had been an explosion \"which someone said later was a rocket launcher that missed the bus and went over the top and hit somewhere in front of us.\" Watch footage of the gunmen staging their attack » \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"88727\": \"Who is having surgery?\"\n },\n {\n \"88728\": \"Why?\"\n },\n {\n \"88729\": \"From where?\"\n },\n {\n \"88730\": \"How did it get there?\"\n },\n {\n \"88731\": \"Where?\"\n },\n {\n \"88732\": \"Who was attacked?\"\n },\n {\n \"88733\": \"Where were they?\"\n },\n {\n \"88734\": \"Was anyone killed?\"\n },\n {\n \"88735\": \"Who?\"\n },\n {\n \"88736\": \"How many cops?\"\n },\n {\n \"88737\": \"How many were injured?\"\n },\n {\n \"88738\": \"Any serious?\"\n },\n {\n \"88739\": \"How many?\"\n },\n {\n \"88740\": \"Who is Sangakkara?\"\n },\n {\n \"88741\": \"Who did he think was killed?\"\n },\n {\n \"88742\": \"Why?\"\n },\n {\n \"88743\": \"Did he speak before he fell?\"\n },\n {\n \"88744\": \"What were his words?\"\n },\n {\n \"88745\": \"Who does the team say saved them?\"\n },\n {\n \"88746\": \"How many gunmen were there?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"88727\",\n \"answer\": \"Thilan Samaraweera\"\n },\n {\n \"question_id\": \"88728\",\n \"answer\": \"to remove a bullet\"\n },\n {\n \"question_id\": \"88729\",\n \"answer\": \"his leg.\"\n },\n {\n \"question_id\": \"88730\",\n \"answer\": \"an attack by gunmen\"\n },\n {\n \"question_id\": \"88731\",\n \"answer\": \"in Pakistan\"\n },\n {\n \"question_id\": \"88732\",\n \"answer\": \"Sri Lankan cricket team\"\n },\n {\n \"question_id\": \"88733\",\n \"answer\": \"on the team bus\"\n },\n {\n \"question_id\": \"88734\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88735\",\n \"answer\": \"police officers and a driver\"\n },\n {\n \"question_id\": \"88736\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"88737\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"88738\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88739\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"88740\",\n \"answer\": \"the vice-captain\"\n },\n {\n \"question_id\": \"88741\",\n \"answer\": \"Paranavitana\"\n },\n {\n \"question_id\": \"88742\",\n \"answer\": \"he collapsed\"\n },\n {\n \"question_id\": \"88743\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"88744\",\n \"answer\": \"I've been shot\"\n },\n {\n \"question_id\": \"88745\",\n \"answer\": \"the driver\"\n },\n {\n \"question_id\": \"88746\",\n \"answer\": \"around a dozen\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER TWENTY-FIVE \n\nDINNER AT BICKERSTAFF'S--HIFFERNAN AND HIS IMPECUNIOSITY--KENRICK'S EPIGRAM--JOHNSON'S CONSOLATION--GOLDSMITH'S TOILET--THE BLOOM-COLORED COAT--NEW ACQUAINTANCES--THE HORNECKS--A TOUCH OF POETRY AND PASSION--THE JESSAMY BRIDE \n\nIn October Goldsmith returned to town and resumed his usual haunts. We hear of him at a dinner given by his countryman, Isaac Bickerstaff, author of Love in a Village, Lionel and Clarissa, and other successful dramatic pieces. The dinner was to be followed by the reading by Bickerstaff of a new play. Among the guests was one Paul Hiffernan, likewise an Irishman; somewhat idle and intemperate; who lived nobody knew how nor where, sponging wherever he had a chance, and often of course upon Goldsmith, who was ever the vagabond's friend, or rather victim. Hiffernan was something of a physician, and elevated the emptiness of his purse into the dignity of a disease, which he termed _impecuniosity_, and against which he claimed a right to call for relief from the healthier purses of his friends. He was a scribbler for the newspapers, and latterly a dramatic critic, which had probably gained him an invitation to the dinner and reading. The wine and wassail, however, befogged his senses. Scarce had the author got into the second act of his play, when Hiffernan began to nod, and at length snored outright. Bickerstaff was embarrassed, but continued to read in a more elevated tone. The louder he read, the louder Hiffernan snored; until the author came to a pause. \"Never mind the brute, Bick, but go on,\" cried Goldsmith. \"He would have served Homer just so if he were here and reading his own works.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17767\": \"What chapter are we discussing?\"\n },\n {\n \"17768\": \"What month is it?\"\n },\n {\n \"17769\": \"What happened in October?\"\n },\n {\n \"17770\": \"Where did he go?\"\n },\n {\n \"17771\": \"Who was giving the dinner?\"\n },\n {\n \"17772\": \"Who was Isaac Bickerstaff?\"\n },\n {\n \"17773\": \"What did he write?\"\n },\n {\n \"17774\": \"What was he going to read?\"\n },\n {\n \"17775\": \"who else was attending?\"\n },\n {\n \"17776\": \"What was his profession\"\n },\n {\n \"17777\": \"Do he do anything else?\"\n },\n {\n \"17778\": \"Was he drunk?\"\n },\n {\n \"17779\": \"What did that cause him to do?\"\n },\n {\n \"17780\": \"Was he loud?\"\n },\n {\n \"17781\": \"What country was he from?\"\n },\n {\n \"17782\": \"Did the snoring make him quit?\"\n },\n {\n \"17783\": \"Who encouraged him to continue?\"\n },\n {\n \"17784\": \"Did Hifferman ever take advantage of Goldsmitih?\"\n },\n {\n \"17785\": \"Did they know where he lived?\"\n },\n {\n \"17786\": \"Where did he get his money when he could?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"17767\",\n \"answer\": \"CHAPTER TWENTY-FIVE\"\n },\n {\n \"question_id\": \"17768\",\n \"answer\": \"October\"\n },\n {\n \"question_id\": \"17769\",\n \"answer\": \"Goldsmith returned to town and resumed his usual haunts\"\n },\n {\n \"question_id\": \"17770\",\n \"answer\": \"to a dinner\"\n },\n {\n \"question_id\": \"17771\",\n \"answer\": \"A dinner that was to be followed by the reading by Bickerstaff\"\n },\n {\n \"question_id\": \"17772\",\n \"answer\": \"An author\"\n },\n {\n \"question_id\": \"17773\",\n \"answer\": \"Love in a Village, Lionel and Clarissa, and other successful dramatic pieces.\"\n },\n {\n \"question_id\": \"17774\",\n \"answer\": \"a new play\"\n },\n {\n \"question_id\": \"17775\",\n \"answer\": \"Paul Hiffernan\"\n },\n {\n \"question_id\": \"17776\",\n \"answer\": \"a physician\"\n },\n {\n \"question_id\": \"17777\",\n \"answer\": \"a scribbler for the newspapers, and a dramatic critic,\"\n },\n {\n \"question_id\": \"17778\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17779\",\n \"answer\": \"He began to nod, and at length snored outright\"\n },\n {\n \"question_id\": \"17780\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"17781\",\n \"answer\": \"He was Irish in decent\"\n },\n {\n \"question_id\": \"17782\",\n \"answer\": \"Bickerstaff didn't stop his reading\"\n },\n {\n \"question_id\": \"17783\",\n \"answer\": \"Goldsmith\"\n },\n {\n \"question_id\": \"17784\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"17785\",\n \"answer\": \"It doesn't explicitly say\"\n },\n {\n \"question_id\": \"17786\",\n \"answer\": \"sponging wherever he had a chance, and often of course upon Goldsmith\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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'll never forget that summer day in 1965 when my mother suddenly died of an unexplained illness at the age of 36. Later that afternoon, a police officer stopped by to ask my father if the hospital could use Mother's corneas . I was shocked. \"The doctors want to _ Mum and give her away to other people!\" I thought as I ran into the house in tears. \"How can you let them do that to her?\" I screamed at my father. \"My mum came into this world in one piece and that is how she should go out.\" \"Linda,\" Father said quietly, putting his arm around me, \"the greatest gift you can give is a part of yourself. Your mother and I decided long ago that if we can make a difference in just one person's life after we die, our death will have meaning.\" He went on to explain they had both decided to donate their organs . The lesson my father taught me that day became one of the most important in my life. Years passed. I married and had a family of my own. In 1980, my father became seriously ill and moved in with us. He cheerfully told me that when he died, he wanted me to donate his eyes. \"Sight is one of the greatest gifts a person can give,\" he said. I told Wendy what her grandpa had said, and with tears in her eyes, she went into her grandpa's room and gave him a big hug. She was only fourteen years old------the same age at which I was introduced to such a thing. What a difference! My father died on April 11,1986, and we donated his eyes as he had wanted. Three days later, Wendy said, \"Mum, I'm so proud of you for what did for Grandpa.\" At that moment, I realized that my father gave much more than his eyes.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34299\": \"How did my mother pass away?\"\n },\n {\n \"34300\": \"What was my dad asked?\"\n },\n {\n \"34301\": \"Was Linda understanding?\"\n },\n {\n \"34302\": \"What did she do?\"\n },\n {\n \"34303\": \"What did her dad say?\"\n },\n {\n \"34304\": \"How can dying have meaning?\"\n },\n {\n \"34305\": \"When did her dad get sick?\"\n },\n {\n \"34306\": \"When did he die?\"\n },\n {\n \"34307\": \"What year?\"\n },\n {\n \"34308\": \"Who was proud?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34299\",\n \"answer\": \"unexplained illness\"\n },\n {\n \"question_id\": \"34300\",\n \"answer\": \"use Mother's corneas\"\n },\n {\n \"question_id\": \"34301\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34302\",\n \"answer\": \"ran into the house in tears\"\n },\n {\n \"question_id\": \"34303\",\n \"answer\": \"the greatest gift you can give is a part of yourself\"\n },\n {\n \"question_id\": \"34304\",\n \"answer\": \"make a difference\"\n },\n {\n \"question_id\": \"34305\",\n \"answer\": \"1980\"\n },\n {\n \"question_id\": \"34306\",\n \"answer\": \"April 11\"\n },\n {\n \"question_id\": \"34307\",\n \"answer\": \"1986\"\n },\n {\n \"question_id\": \"34308\",\n \"answer\": \"Wendy\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mammals include the largest animals on the planet, the rorquals and other large whales, as well as some of the most intelligent, such as elephants, primates, including humans, and cetaceans. The basic body type is a four-legged land-borne animal, but some mammals are adapted for life at sea, in the air, in trees, or on two legs. The largest group of mammals, the placentals, have a placenta, which enables feeding the fetus during gestation. Mammals range in size from the 30–40 mm (1.2–1.6 in) bumblebee bat to the 33-meter (108 ft) blue whale. \n\nThe word \"mammal\" is modern, from the scientific name Mammalia coined by Carl Linnaeus in 1758, derived from the Latin mamma (\"teat, pap\"). All female mammals nurse their young with milk, which is secreted from special glands, the mammary glands. According to Mammal Species of the World, 5,416 species were known in 2006. These were grouped in 1,229 genera, 153 families and 29 orders. In 2008 the IUCN completed a five-year, 1,700-scientist Global Mammal Assessment for its IUCN Red List, which counted 5,488 accepted species.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5372\": \"What are rorquals?\"\n },\n {\n \"5373\": \"What are some of the largest animals on the planet?\"\n },\n {\n \"5374\": \"Are mammels adapted for the land only?\"\n },\n {\n \"5375\": \"What else are they adapted to?\"\n },\n {\n \"5376\": \"What is the basic body type?\"\n },\n {\n \"5377\": \"What is the word derived from?\"\n },\n {\n \"5378\": \"and in Latin?\"\n },\n {\n \"5379\": \"meaning?\"\n },\n {\n \"5380\": \"Do all mammels produce milk and nurse?\"\n },\n {\n \"5381\": \"Where is it secreted from?\"\n },\n {\n \"5382\": \"How many mammel species were known in 2006?\"\n },\n {\n \"5383\": \"according to who?\"\n },\n {\n \"5384\": \"how were they grouped?\"\n },\n {\n \"5385\": \"What happened in 2008?\"\n },\n {\n \"5386\": \"How many did they count?\"\n },\n {\n \"5387\": \"Were these accepted?\"\n },\n {\n \"5388\": \"What is the largest group of mammels?\"\n },\n {\n \"5389\": \"Why are they called this?\"\n },\n {\n \"5390\": \"What does this do?\"\n },\n {\n \"5391\": \"Whatis the smallest mammal?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"5372\",\n \"answer\": \"large whales\"\n },\n {\n \"question_id\": \"5373\",\n \"answer\": \"Mammals\"\n },\n {\n \"question_id\": \"5374\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"5375\",\n \"answer\": \"in the air, in trees, or on two legs.\"\n },\n {\n \"question_id\": \"5376\",\n \"answer\": \"four-legged land-borne animal\"\n },\n {\n \"question_id\": \"5377\",\n \"answer\": \"from the scientific name Mammalia\"\n },\n {\n \"question_id\": \"5378\",\n \"answer\": \"mamma\"\n },\n {\n \"question_id\": \"5379\",\n \"answer\": \"teat, pap\"\n },\n {\n \"question_id\": \"5380\",\n \"answer\": \"All female mammals\"\n },\n {\n \"question_id\": \"5381\",\n \"answer\": \"the mammary glands.\"\n },\n {\n \"question_id\": \"5382\",\n \"answer\": \"5,416\"\n },\n {\n \"question_id\": \"5383\",\n \"answer\": \"Mammal Species of the World\"\n },\n {\n \"question_id\": \"5384\",\n \"answer\": \"1,229 genera, 153 families and 29 orders.\"\n },\n {\n \"question_id\": \"5385\",\n \"answer\": \"The IUCN completed a five-year, 1,700-scientist Global Mammal Assessment for its IUCN Red List,\"\n },\n {\n \"question_id\": \"5386\",\n \"answer\": \"5,488 species.\"\n },\n {\n \"question_id\": \"5387\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"5388\",\n \"answer\": \"placentals\"\n },\n {\n \"question_id\": \"5389\",\n \"answer\": \"They have a placenta\"\n },\n {\n \"question_id\": \"5390\",\n \"answer\": \"enables feeding the fetus during gestation\"\n },\n {\n \"question_id\": \"5391\",\n \"answer\": \"bumblebee bat\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 longest-serving lawmaker in U.S. congressional history, a legendary Motown artist, and the matriarch of a renowned political family will be among this year's recipients of the nation's highest civilian honor, the White House announced Monday. \n\nRep. John Dingell, Stevie Wonder and Ethel Kennedy are three of the nineteen Americans who Obama will bestow the Presidential Medal of Freedom upon later this month. \n\nDingell has served nearly 60 years in Congress representing a district outside Detroit. He'll retire at the end of this session. Wonder has won 25 Grammys and an Oscar for his fusion of soul, rhythm and blues and jazz. And Kennedy, who is the widow of Sen. Robert F. Kennedy, became an activist for human rights and the environment after her husband's death. \n\nOther honorees this year include Meryl Streep, the prolific actress known for holding the most Oscar nominations of any actor in history. She stars this winter in \"Into the Woods,\" the musical composed by Stephen Sondheim, to whom Obama will also award the Medal of Freedom on November 24. \n\nTom Brokaw, the former \"NBC Nightly News\" anchor, will be honored as well, alongside actress Marlo Thomas, golfer Charles Sifford and author Isabel Allende. \n\nThe other medalists are scientist Mildred Dresselhaus; Native American activist Suzan Harjo; former Reps. Abner Mikva of Illinois and Patsy Takemoto Mink of Hawaii; and economist Robert Solow. \n\nFive awards will be delivered posthumously: to \"Freedom Summer\" civil rights activists James Chaney, Andrew Goodman, and Michael Schwerner; to the well-known choreographer Alvin Ailey, who founded the namesake dance company; and to Rep. Edward Roybal, the founder of the Congressional Hispanic Caucus. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13827\": \"How many people got medals?\"\n },\n {\n \"13828\": \"How many medals were to people who have died?\"\n },\n {\n \"13829\": \"Who is the medalist from Michigan?\"\n },\n {\n \"13830\": \"What is he known for?\"\n },\n {\n \"13831\": \"He's a representative from near which city?\"\n },\n {\n \"13832\": \"What is Alvin Ailey famous for?\"\n },\n {\n \"13833\": \"Who did the music for Into the Woods?\"\n },\n {\n \"13834\": \"Is he getting a medal?\"\n },\n {\n \"13835\": \"When is the medal ceremony?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"13827\",\n \"answer\": \"19.\"\n },\n {\n \"question_id\": \"13828\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"13829\",\n \"answer\": \"Dingell\"\n },\n {\n \"question_id\": \"13830\",\n \"answer\": \"He served nearly 60 years in Congress.\"\n },\n {\n \"question_id\": \"13831\",\n \"answer\": \"Detroit.\"\n },\n {\n \"question_id\": \"13832\",\n \"answer\": \"As a choreographer.\"\n },\n {\n \"question_id\": \"13833\",\n \"answer\": \"Stephen Sondheim\"\n },\n {\n \"question_id\": \"13834\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"13835\",\n \"answer\": \"Later this month.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Muhammad (; ; c. 570 CE – 8 June 632 CE) is the prophet and founder of Islam. According to Islamic doctrine, he was God's Messenger, sent to confirm the essential teachings of monotheism preached previously by Adam, Abraham, Moses, Jesus, and other prophets. He is viewed as the final prophet of God in all the main branches of Islam, though some modern denominations diverge from this belief. Muhammad united Arabia into a single Muslim polity and ensured that his teachings, practices, and the Quran formed the basis of Islamic religious belief. \n\nBorn approximately 570CE (Year of the Elephant) in the Arabian city of Mecca, Muhammad was orphaned at an early age; he was raised under the care of his paternal uncle Abu Talib. Periodically, he would seclude himself in a mountain cave named Hira for several nights of prayer; later, at age 40, he reported being visited by Gabriel in the cave, where he stated he received his first revelation from God. Three years later, in 610, Muhammad started preaching these revelations publicly, proclaiming that \"God is One\", that complete \"surrender\" (lit. \"islām\") to him is the right course of action (\"dīn\"), and that he was a prophet and messenger of God, similar to the other prophets in Islam.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57204\": \"Who is this article about?\"\n },\n {\n \"57205\": \"Around when was he born?\"\n },\n {\n \"57206\": \"And died?\"\n },\n {\n \"57207\": \"What did he unite?\"\n },\n {\n \"57208\": \"Where was he born?\"\n },\n {\n \"57209\": \"Which animal was the symbol for the year he was born?\"\n },\n {\n \"57210\": \"What does Islam literally mean?\"\n },\n {\n \"57211\": \"Was he cared for by his grandfather?\"\n },\n {\n \"57212\": \"Why?\"\n },\n {\n \"57213\": \"Is he seen as a prophet?\"\n },\n {\n \"57214\": \"How many other prophets are mentioned?\"\n },\n {\n \"57215\": \"What religion did he start?\"\n },\n {\n \"57216\": \"Where would he hide himself?\"\n },\n {\n \"57217\": \"What was its name?\"\n },\n {\n \"57218\": \"Why did he go there?\"\n },\n {\n \"57219\": \"For how long?\"\n },\n {\n \"57220\": \"Who was he visited by there?\"\n },\n {\n \"57221\": \"What happened next?\"\n },\n {\n \"57222\": \"From whom?\"\n },\n {\n \"57223\": \"How old was he when that happened?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"57204\",\n \"answer\": \"Muhammad\"\n },\n {\n \"question_id\": \"57205\",\n \"answer\": \"570 CE\"\n },\n {\n \"question_id\": \"57206\",\n \"answer\": \"632 CE\"\n },\n {\n \"question_id\": \"57207\",\n \"answer\": \"Arabia\"\n },\n {\n \"question_id\": \"57208\",\n \"answer\": \"Mecca\"\n },\n {\n \"question_id\": \"57209\",\n \"answer\": \"Elephant\"\n },\n {\n \"question_id\": \"57210\",\n \"answer\": \"surrender\"\n },\n {\n \"question_id\": \"57211\",\n \"answer\": \"no, by paternal uncle Abu Talib\"\n },\n {\n \"question_id\": \"57212\",\n \"answer\": \"was orphaned\"\n },\n {\n \"question_id\": \"57213\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57214\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"57215\",\n \"answer\": \"Islam\"\n },\n {\n \"question_id\": \"57216\",\n \"answer\": \"mountain cave\"\n },\n {\n \"question_id\": \"57217\",\n \"answer\": \"Hira\"\n },\n {\n \"question_id\": \"57218\",\n \"answer\": \"prayer\"\n },\n {\n \"question_id\": \"57219\",\n \"answer\": \"several nights\"\n },\n {\n \"question_id\": \"57220\",\n \"answer\": \"Gabriel\"\n },\n {\n \"question_id\": \"57221\",\n \"answer\": \"received his first revelation\"\n },\n {\n \"question_id\": \"57222\",\n \"answer\": \"from God\"\n },\n {\n \"question_id\": \"57223\",\n \"answer\": \"40\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Beijing (CNN) -- The wife of Ai Weiwei was taken from the Chinese artist's studio by police Tuesday and was questioned for three hours, the high-profile dissident said. \n\nFour policemen took Lu Qing from the Beijing studio to a nearby police station, he said. \n\nShe was released by police after questioning and is now a \"criminal suspect,\" he said. \n\nThey have not told her what crimes she is accused of, he added. \n\n\"I think the authorities are trying to threaten me through her,\" he said, speculating that Lu's arrest was related to her plans to visit Taiwan for an exhibition of her husband's work. \n\nShe has now been told to stay in Beijing, he added. \n\nPolice did not respond to a CNN request for comment on the case. \n\n\"Nobody can consider himself safe or innocent in an environment like this,\" said the dissident, who was himself detained by police for 81 days earlier this year. \n\nHe was ultimately charged with tax evasion, and last week paid $1.3 million so he can contest the charges brought against his company, Fake Cultural Development Ltd. \n\nHad he not paid the sum, his wife -- who legally represents the company -- would have been jailed, he said. \n\nThe government says the company owes 15 million yuan ($2.3 million). The money was raised from 30,000 contributors, he said. \n\nHis lawyer, Pu Zhiqiang, said last week that Ai intends to return the donations if he wins the case and is refunded the money. \n\nHis family and human rights advocates believe that the real reason for his imprisonment is his criticism of the Chinese government. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20940\": \"What is Ai WeiWei's company called?\"\n },\n {\n \"20941\": \"Where is the report from?\"\n },\n {\n \"20942\": \"what happened to his wife?\"\n },\n {\n \"20943\": \"where?\"\n },\n {\n \"20944\": \"where was she taken from?\"\n },\n {\n \"20945\": \"how long for?\"\n },\n {\n \"20946\": \"how many policemen?\"\n },\n {\n \"20947\": \"was she kept there overnight?\"\n },\n {\n \"20948\": \"what is she now?\"\n },\n {\n \"20949\": \"what is she charged with?\"\n },\n {\n \"20950\": \"Why does her husband think she was arrested?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20940\",\n \"answer\": \"Fake Cultural Development Ltd.\"\n },\n {\n \"question_id\": \"20941\",\n \"answer\": \"Beijing\"\n },\n {\n \"question_id\": \"20942\",\n \"answer\": \"she was questioned by police\"\n },\n {\n \"question_id\": \"20943\",\n \"answer\": \"a nearby police station\"\n },\n {\n \"question_id\": \"20944\",\n \"answer\": \"from the Chinese artist's studio\"\n },\n {\n \"question_id\": \"20945\",\n \"answer\": \"for three hours\"\n },\n {\n \"question_id\": \"20946\",\n \"answer\": \"Four policemen\"\n },\n {\n \"question_id\": \"20947\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20948\",\n \"answer\": \"a \\\"criminal suspect,\\\"\"\n },\n {\n \"question_id\": \"20949\",\n \"answer\": \"They have not told her what crimes she is accused of\"\n },\n {\n \"question_id\": \"20950\",\n \"answer\": \"He thinks the authorities are trying to threaten him through her\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Paul and Jason were brothers who lived and worked on neighbouring farms.For 35 years they farmed side by side,sharing machinery and goods as needed,without a single problem. However,one autumn,things changed.It began with a tiny disagreement about a horse,which grew into a major difference.The difference led to angry words,followed by weeks of silence between the two brothers. One morning there was a knock on Paul's door.He opened it and saw a builder holding his toolbox.\"I'm looking for a few days'work,\"the builder said.\"Are there any jobs here I could help with?\" \"Yes,\"answered Paul,extremely pleased to see the builder.\"I do have a job for you.Look at that farm across the creek .That's my brother's farm.That creek used to be a grass field,but last week my brother dug a path from the fiver and made the creek.But I'll _ .See that pile of wood?1 want you to build me a fence,two metres tall,so 1 won't need to see him anymore.\" The builder said thoughtfully.\"I think I understand the situation and I'll be able to do a job that pleases you.\" Paul had business in town that day and left the builder to his work.When he returned,the builder had just finished his job.Paul was shocked.Instead of a fence there was a bridge,stretching from one side of the creek to the other. As Paul stood on the bridge,staring in amazement,his younger brother Jason,came across,and took Paul's hand.\"You are a good man to have built this bridge after a11 I've done,\"said Jason. Then,Paul,with tears in his eyes,said to the builder who was packing his bag to go,\"Thank you so much. Please stay.I have much more for you to do.\" \"I'd love to.\"the builder said quietly,\"but,I have many more bridges to build.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77014\": \"Were Paul and Jason lovers?\"\n },\n {\n \"77015\": \"What were they?\"\n },\n {\n \"77016\": \"When did things change?\"\n },\n {\n \"77017\": \"How many years had they worked side by side previously?\"\n },\n {\n \"77018\": \"Doing what type of work?\"\n },\n {\n \"77019\": \"Did they have problems during that time?\"\n },\n {\n \"77020\": \"What did they share as needed?\"\n },\n {\n \"77021\": \"Who in the story might be a stand-in for a Messianic character?\"\n },\n {\n \"77022\": \"How close were the farms to each other?\"\n },\n {\n \"77023\": \"Did the farms neighbor each other?\"\n },\n {\n \"77024\": \"Whose eyes filled with tears?\"\n },\n {\n \"77025\": \"Who understood the situation between the brothers?\"\n },\n {\n \"77026\": \"What did Paul want him to build?\"\n },\n {\n \"77027\": \"Did he build it?\"\n },\n {\n \"77028\": \"What'd he build instead?\"\n },\n {\n \"77029\": \"What'd it stretch over?\"\n },\n {\n \"77030\": \"Did Paul like the bridge?\"\n },\n {\n \"77031\": \"What was the builder holding when he first met him?\"\n },\n {\n \"77032\": \"Did the builder have more bridges to build?\"\n },\n {\n \"77033\": \"Who was older, Paul or Jason?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77014\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77015\",\n \"answer\": \"brothers\"\n },\n {\n \"question_id\": \"77016\",\n \"answer\": \"one autumn\"\n },\n {\n \"question_id\": \"77017\",\n \"answer\": \"35 years\"\n },\n {\n \"question_id\": \"77018\",\n \"answer\": \"farming\"\n },\n {\n \"question_id\": \"77019\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77020\",\n \"answer\": \"machinery and goods\"\n },\n {\n \"question_id\": \"77021\",\n \"answer\": \"the builder\"\n },\n {\n \"question_id\": \"77022\",\n \"answer\": \"across a creek\"\n },\n {\n \"question_id\": \"77023\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77024\",\n \"answer\": \"Paul\"\n },\n {\n \"question_id\": \"77025\",\n \"answer\": \"the builder\"\n },\n {\n \"question_id\": \"77026\",\n \"answer\": \"a fence\"\n },\n {\n \"question_id\": \"77027\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"77028\",\n \"answer\": \"a bridge\"\n },\n {\n \"question_id\": \"77029\",\n \"answer\": \"the creek\"\n },\n {\n \"question_id\": \"77030\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77031\",\n \"answer\": \"his toolbox\"\n },\n {\n \"question_id\": \"77032\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"77033\",\n \"answer\": \"Paul\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 United States, many low income parents cannot afford to buy enough food for their children. A program called Kids Cafe is helping some of these children by providing free nutritious snacks and meals during after-school programs. \n\nAt a community center in Virginia just outside of Washington, D.C., children make a snack as part of their afterschool program. \"The snack is very healthy for your body, but the main thing is that it tastes really, really good,\" Keith Clements tells them. He runs the Kids Cafe program. \n\nThe children are between the ages of 5 and 11 and are from several local schools. About half have parents from Ethiopia. Many of the children eat their traditional food at home. Kids Cafe, with food offered free by a food bank, gives them an opportunity to try different types of food. \n\n\"It's good,\" says one girl. But Rebecca Nance, whose parents are from the US, is not so sure. \"The taste is weird.\" Her mother, Daffany Nance has two children in the program. She's glad her kids are getting nutritious food. \"Even in my house we don't have much junk food,\" she says, \"so it's very important that it's healthy and continues to help them grow better.\" \n\nThe charity , Feeding America, started the national Kids Cafe program in 1993. The charity says more than 16 million children in the United States do not have enough healthy food to eat. \n\nKids Cafe became part of the afterschool program at this community center five years ago. Lori McFail heads the afterschool program. She says some children do not eat good evening meals because their parents work late or cannot afford healthy food. She hopes the children will make full use of what they've learned about nutrition in their lives.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53570\": \"Where is the community center where kids make a snack as part of their afterschool program?\"\n },\n {\n \"53571\": \"What's the name of the program helping kids by giving hem free snacks and meals after school?\"\n },\n {\n \"53572\": \"How old are the students?\"\n },\n {\n \"53573\": \"Where are about half of the parents from?\"\n },\n {\n \"53574\": \"Which charity started Kids Cafe?\"\n },\n {\n \"53575\": \"In what year?\"\n },\n {\n \"53576\": \"About how many young people in the US don't have enough healthy food?\"\n },\n {\n \"53577\": \"Who is Keith Clements?\"\n },\n {\n \"53578\": \"What does Rebecca Nance say about the food?\"\n },\n {\n \"53579\": \"What is her mother's name?\"\n },\n {\n \"53580\": \"Does Rebecca have a sibling?\"\n },\n {\n \"53581\": \"Who is Lori McFail?\"\n },\n {\n \"53582\": \"Why does she say some young people don't eat dinner?\"\n },\n {\n \"53583\": \"Are the kids all from the same school?\"\n },\n {\n \"53584\": \"Who offers the free food to Kids Cafe?\"\n },\n {\n \"53585\": \"Does a food bank offer the food?\"\n },\n {\n \"53586\": \"Are Rebecca Nance's parents from Ethiopia?\"\n },\n {\n \"53587\": \"Where are they from?\"\n },\n {\n \"53588\": \"Is there a lot of junk food in Daffany Nance's house?\"\n },\n {\n \"53589\": \"How many years ago did Kids Cafe become a part of the afterschool program?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"53570\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"53571\",\n \"answer\": \"Kids Cafe\"\n },\n {\n \"question_id\": \"53572\",\n \"answer\": \"between the ages of 5 and 11\"\n },\n {\n \"question_id\": \"53573\",\n \"answer\": \"Ethiopia\"\n },\n {\n \"question_id\": \"53574\",\n \"answer\": \"Feeding America\"\n },\n {\n \"question_id\": \"53575\",\n \"answer\": \"1993\"\n },\n {\n \"question_id\": \"53576\",\n \"answer\": \"more than 16 million\"\n },\n {\n \"question_id\": \"53577\",\n \"answer\": \"He runs the Kids Cafe program\"\n },\n {\n \"question_id\": \"53578\",\n \"answer\": \"The taste is weird.\"\n },\n {\n \"question_id\": \"53579\",\n \"answer\": \"Daffany Nance\"\n },\n {\n \"question_id\": \"53580\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53581\",\n \"answer\": \"She heads the afterschool program\"\n },\n {\n \"question_id\": \"53582\",\n \"answer\": \"their parents work late or cannot afford healthy food\"\n },\n {\n \"question_id\": \"53583\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53584\",\n \"answer\": \"a community center in Virginia\"\n },\n {\n \"question_id\": \"53585\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"53586\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53587\",\n \"answer\": \"the US\"\n },\n {\n \"question_id\": \"53588\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"53589\",\n \"answer\": \"five 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 Wang Jiaming from Beijing Chenjinglun High School says he is a lucky boy. He's happy that he's sitting the senior high school entrance exam in 2014 instead of 2016. On Oct 22, Beijing Municipal Commission of Education announced that, from 2016, the English scores in the senior high school entrance exam will be reduced from 120 to 100. Of the 100 points, the listening ability scores will increase to 50. Meanwhile, the points for Chinese will increase from 120 to 150. \"The change won't affect me. I feel so lucky because English is my strongest subject,\" said Wang. Why such a change? It places the importance on Chinese in our study, and reduces students' stress, said Li Yi, spokesman of the commission. \"The change will also push us to pay attention to the practical usage of English,\" said Li. \"Students will be encouraged to learn to understand English menus and read English news on mobile phones.\" There isn't news that other cities will have the same change. But several places are making changes to English tests in the college entrance exams. For example, Shandong is considering taking out the listening part of the English exam in its college entrance exams. But, \"being tested for less points doesn't mean the subject _ ,\" Bai Ping wrote in China Daily. English has long been the world's most commonly used language. Former Chinese premier Zhu Rongji once said: \"In a globalizing economy , if you cannot communicate with foreigners, how can one be part of the world economy?\" Wang Jiaming said he understood the change. \"Chinese, not English, is our mother tongue ,\" he said. \"But still, I think English is both interesting and useful.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21050\": \"who believe he has good fortune?\"\n },\n {\n \"21051\": \"where is he educated?\"\n },\n {\n \"21052\": \"is he testing?\"\n },\n {\n \"21053\": \"what is the test called?\"\n },\n {\n \"21054\": \"when is he testing?\"\n },\n {\n \"21055\": \"is really good in one class?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"21050\",\n \"answer\": \"Wang Jiaming\"\n },\n {\n \"question_id\": \"21051\",\n \"answer\": \"Beijing Chenjinglun High School\"\n },\n {\n \"question_id\": \"21052\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21053\",\n \"answer\": \"the senior high school entrance exam\"\n },\n {\n \"question_id\": \"21054\",\n \"answer\": \"2014\"\n },\n {\n \"question_id\": \"21055\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It was at San Francisco's Olympic Club that \"Gentleman Jim\" Corbett, world heavyweight champion and to many the man who took boxing from a brawl to an art, trained and coached. \n\nTwenty-two years after his death, the sports club hosted its first U.S. Open golf tournament in 1955. Ben Hogan lost in a playoff to an unknown golf pro from Iowa and the course was on its way to developing a reputation as the graveyard of champions. Now, after four U.S. Opens there, the first rule of Olympic Club favorites is ... there are no Olympic Club favorites. \n\nThat's more true than ever this time around. It remains to be seen whether we're in the post-Tiger Woods era or just an interregnum in his reign, but what's certainly the case is that these days a large number of players turn up at major championships with a genuine belief and chance of winning. \n\nOne simple fact supports them: the last 14 majors have been won by 14 different players. \n\nIt was very different back at that first Olympic U.S. Open. Then, Ben Hogan was the man. Nine major championships under his belt and already the subject of a Hollywood movie, Hogan went to San Francisco in search of his fifth U.S. Open. \n\nHe seemed to have won it too: the TV commentator congratulated him on his victory and the broadcast went off air proclaiming Hogan as U.S. Open champion. Rather inconveniently, Jack Fleck, a pro from a municipal course in Iowa, birdied 15 and 18, forced Hogan into a playoff and then -- in one of the greatest sporting upsets of all time -- beat the great man by three shots. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93181\": \"When was the first US Open gold tournament held?\"\n },\n {\n \"93182\": \"Who lost?\"\n },\n {\n \"93183\": \"Who did he lose to?\"\n },\n {\n \"93184\": \"Where was he from?\"\n },\n {\n \"93185\": \"Does the course have a reputation?\"\n },\n {\n \"93186\": \"Who is the club favorite?\"\n },\n {\n \"93187\": \"Who was trained and coached at the club?\"\n },\n {\n \"93188\": \"Did he golf?\"\n },\n {\n \"93189\": \"Did he box?\"\n },\n {\n \"93190\": \"How many championships had Hogan won at the time of the first Open?\"\n },\n {\n \"93191\": \"Were producers interested in his story?\"\n },\n {\n \"93192\": \"Has any one person won more than one major out of the last 14?\"\n },\n {\n \"93193\": \"What does that support?\"\n },\n {\n \"93194\": \"What was Hogan proclaimed as?\"\n },\n {\n \"93195\": \"What championship was this at?\"\n },\n {\n \"93196\": \"Was the proclamation true?\"\n },\n {\n \"93197\": \"How much did he lose by?\"\n },\n {\n \"93198\": \"Was it disappointing to fans?\"\n },\n {\n \"93199\": \"Was it largest upsetting events in sports?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"93181\",\n \"answer\": \"1955\"\n },\n {\n \"question_id\": \"93182\",\n \"answer\": \"Ben Hogan\"\n },\n {\n \"question_id\": \"93183\",\n \"answer\": \"an unknown golf pro\"\n },\n {\n \"question_id\": \"93184\",\n \"answer\": \"Iowa\"\n },\n {\n \"question_id\": \"93185\",\n \"answer\": \"the graveyard of champions\"\n },\n {\n \"question_id\": \"93186\",\n \"answer\": \"there are no Olympic Club favorites\"\n },\n {\n \"question_id\": \"93187\",\n \"answer\": \"\\\"Gentleman Jim\\\" Corbett\"\n },\n {\n \"question_id\": \"93188\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"93189\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93190\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"93191\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93192\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93193\",\n \"answer\": \"many players think they can win\"\n },\n {\n \"question_id\": \"93194\",\n \"answer\": \"U.S. Open champion\"\n },\n {\n \"question_id\": \"93195\",\n \"answer\": \"first Olympic U.S. Open\"\n },\n {\n \"question_id\": \"93196\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93197\",\n \"answer\": \"three shots\"\n },\n {\n \"question_id\": \"93198\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"93199\",\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 XVI--THE GIRL WHO HAD NOT GROWN UP \n\nNews, as usual, Christian Young brought--news of the drinking at Guvutu, where the men boasted that they drank between drinks; news of the new rifles adrift on Ysabel, of the latest murders on Malaita, of Tom Butler's sickness on Santa Ana; and last and most important, news that the _Matambo_ had gone on a reef in the Shortlands and would be laid off one run for repairs. \n\n\"That means five weeks more before you can sail for Sydney,\" Sheldon said to Joan. \n\n\"And that we are losing precious time,\" she added ruefully. \n\n\"If you want to go to Sydney, the _Upolu_ sails from Tulagi to-morrow afternoon,\" Young said. \n\n\"But I thought she was running recruits for the Germans in Samoa,\" she objected. \"At any rate, I could catch her to Samoa, and change at Apia to one of the Weir Line freighters. It's a long way around, but still it would save time.\" \n\n\"This time the _Upolu_ is going straight to Sydney,\" Young explained. \"She's going to dry-dock, you see; and you can catch her as late as five to-morrow afternoon--at least, so her first officer told me.\" \n\n\"But I've got to go to Guvutu first.\" Joan looked at the men with a whimsical expression. \"I've some shopping to do. I can't wear these Berande curtains into Sydney. I must buy cloth at Guvutu and make myself a dress during the voyage down. I'll start immediately--in an hour. Lalaperu, you bring 'm one fella Adamu Adam along me. Tell 'm that fella Ornfiri make 'm _kai-kai_ take along whale-boat.\" She rose to her feet, looking at Sheldon. \"And you, please, have the boys carry down the whale- boat--my boat, you know. I'll be off in an hour.\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39813\": \"Who was sailing to Sydney?\"\n },\n {\n \"39814\": \"How long did she have until she was scheduled to go?\"\n },\n {\n \"39815\": \"How did she feel about waiting that long?\"\n },\n {\n \"39816\": \"Did Young give her another option?\"\n },\n {\n \"39817\": \"What was it?\"\n },\n {\n \"39818\": \"When was that leaving?\"\n },\n {\n \"39819\": \"From where?\"\n },\n {\n \"39820\": \"Was it making other stops before heading to Sydney?\"\n },\n {\n \"39821\": \"Where did Joan have to go first?\"\n },\n {\n \"39822\": \"For what?\"\n },\n {\n \"39823\": \"What did she need to purchase?\"\n },\n {\n \"39824\": \"Why?\"\n },\n {\n \"39825\": \"For herself?\"\n },\n {\n \"39826\": \"What type of vessel did she decide to use for traveling?\"\n },\n {\n \"39827\": \"How much time did she need before being ready to leave?\"\n },\n {\n \"39828\": \"Where did men boast about drinking in excess?\"\n },\n {\n \"39829\": \"Who knew this information?\"\n },\n {\n \"39830\": \"What else did he know?\"\n },\n {\n \"39831\": \"Anything else?\"\n },\n {\n \"39832\": \"What was the most important fact though?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"39813\",\n \"answer\": \"Joan\"\n },\n {\n \"question_id\": \"39814\",\n \"answer\": \"five weeks\"\n },\n {\n \"question_id\": \"39815\",\n \"answer\": \"rueful\"\n },\n {\n \"question_id\": \"39816\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39817\",\n \"answer\": \"the _Upolu_\"\n },\n {\n \"question_id\": \"39818\",\n \"answer\": \"to-morrow afternoon\"\n },\n {\n \"question_id\": \"39819\",\n \"answer\": \"Tulagi\"\n },\n {\n \"question_id\": \"39820\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39821\",\n \"answer\": \"Guvutu\"\n },\n {\n \"question_id\": \"39822\",\n \"answer\": \"shopping\"\n },\n {\n \"question_id\": \"39823\",\n \"answer\": \"cloth\"\n },\n {\n \"question_id\": \"39824\",\n \"answer\": \"to make a dress\"\n },\n {\n \"question_id\": \"39825\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39826\",\n \"answer\": \"whale-boat\"\n },\n {\n \"question_id\": \"39827\",\n \"answer\": \"an hour\"\n },\n {\n \"question_id\": \"39828\",\n \"answer\": \"Guvutu\"\n },\n {\n \"question_id\": \"39829\",\n \"answer\": \"Christian Young\"\n },\n {\n \"question_id\": \"39830\",\n \"answer\": \"news of the new rifles adrift on Ysabel\"\n },\n {\n \"question_id\": \"39831\",\n \"answer\": \"the latest murders on Malaita\"\n },\n {\n \"question_id\": \"39832\",\n \"answer\": \"the _Matambo_ had gone on a reef\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 from this month, you won't be hearing the word \"NBA\" on sports programs on CCTV. Instead, sport hosts will give the full Chinese name when they refer to the NBA - National Basketball Association. You also won't hear any other English abbreviations on CCTV's Chinese programs, such as GDP (gross domestic product) or WTO (World Trade Organization). You will hear their Chinese translations. CCTV received a notice from the State Administration of Radio, Film and Television, telling it to avoid using English-language abbreviations in their reports to protect the \"purity\" of the Chinese language. A few other TV stations also received the notice. Fu Zhenguo, an editor of People's Daily, is one of the people who proposed the change. \"Using English in a Chinese-speaking environment is against Chinese law,\" he said. \"Using English on Chinese TV programs is unfair to people who don't understand English. It will have a bad language influence on kids and teenagers.\" But some experts have a different opinion. Liu Yaoying, a professor at the Communications University of China, said the move shows cultural conservatism . \"If Western countries can accept some Chinglish words, why can't the Chinese language be mixed with English?\" Liu said. A lot of people have criticized the move, saying that it will cause problems for them. \"I understand what CD, VCD and DVD mean when I hear them. But I won't know what the TV programs are talking about if I hear those products' full Chinese names,\" a person wrote in a BBS post. Following the same post, another person wrote jokingly: \"I'm not listening to my MP3 now. I'm listening to my Moving Picture Experts Group-1 Audio Layer 3. Some people also question why CCTV is keeping its logo, since it is also an English abbreviation.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54986\": \"What does NBA stand for?\"\n },\n {\n \"54987\": \"What about GDP?\"\n },\n {\n \"54988\": \"And WTO?\"\n },\n {\n \"54989\": \"Will those acronyms be used on CCTV?\"\n },\n {\n \"54990\": \"Why not?\"\n },\n {\n \"54991\": \"Who said that?\"\n },\n {\n \"54992\": \"Was CCTV the only one to be told that?\"\n },\n {\n \"54993\": \"How many other places got the message?\"\n },\n {\n \"54994\": \"Is speaking English in China illegal?\"\n },\n {\n \"54995\": \"Will acronyms have a good influence on children?\"\n },\n {\n \"54996\": \"Where does Fu Zhenguo work?\"\n },\n {\n \"54997\": \"And Liu Yaoying?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"54986\",\n \"answer\": \"National Basketball Association\"\n },\n {\n \"question_id\": \"54987\",\n \"answer\": \"gross domestic product\"\n },\n {\n \"question_id\": \"54988\",\n \"answer\": \"World Trade Organization\"\n },\n {\n \"question_id\": \"54989\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54990\",\n \"answer\": \"to protect the \\\"purity\\\" of the Chinese language.\"\n },\n {\n \"question_id\": \"54991\",\n \"answer\": \"the State Administration of Radio, Film and Television\"\n },\n {\n \"question_id\": \"54992\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54993\",\n \"answer\": \"A few\"\n },\n {\n \"question_id\": \"54994\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"54995\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"54996\",\n \"answer\": \"People's Daily\"\n },\n {\n \"question_id\": \"54997\",\n \"answer\": \"Communications University of China\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX. \n\nA RACE ON THE ICE, AND WHAT FOLLOWED. \n\nAfter the events just narrated several days passed quietly enough at Putnam Hall. In the meantime the weather continued clear, and the boys took it upon themselves to clear off a part of the lake for skating. Then, one night came a strong wind, and the next morning they found a space of cleared ice nearly half a mile long. \n\n\"Now for some fine skating!\" exclaimed Tom, as he rushed back to the Hall after an inspection of the lake's smooth surface. \"We can have all the racing we wish.\" \n\n\"It's a pity Sam can't go out yet,\" returned Dick. Sam was back to the school, but his cold had not entirely left him. \n\n\"Never mind; here are several new magazines he can read,\" returned Tom, who had been to town with Snuggers on an errand and had purchased them at the stationery store. \n\n\"I would just as soon read now,\" said Sam. \"The magazines look mighty interesting.\" \n\nJust then Fred Garrison came in, accompanied by George Granbury. They had been down to Cedarville to purchase some skates and a new pair of shoes for George. \n\n\"Hullo, what do you think we saw in Cedarville!\" cried Fred, as soon as he caught sight of the Rovers. \n\n\"Lots of snow,\" suggested Tom dryly. \n\n\"Yes--and more.\" \n\n\"A mighty dull town,\" suggested Sam. \n\n\"We saw Dan Baxter.\" \n\n\"What was he doing?\" \n\n\"He was walking down the street. And who do you suppose was with him? Mr. Grinder!\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"25054\": \"What did the boys do to the lake?\"\n },\n {\n \"25055\": \"For what purpose?\"\n },\n {\n \"25056\": \"What is the number of this chapter?\"\n },\n {\n \"25057\": \"And the title?\"\n },\n {\n \"25058\": \"Why can't Sam go skating?\"\n },\n {\n \"25059\": \"What could Sam do instead?\"\n },\n {\n \"25060\": \"Where had Tom gotten the magazines?\"\n },\n {\n \"25061\": \"True of False: The top of the lake was rough.\"\n },\n {\n \"25062\": \"Where had Fred and George been?\"\n },\n {\n \"25063\": \"Did they buy something for George?\"\n },\n {\n \"25064\": \"What?\"\n },\n {\n \"25065\": \"Did they buy something for Tom?\"\n },\n {\n \"25066\": \"How far was the ice cleared off the lake?\"\n },\n {\n \"25067\": \"With whom had Tom gone to town?\"\n },\n {\n \"25068\": \"True or False: Sam thought the reading material looked boring.\"\n },\n {\n \"25069\": \"Who is the first person Fred mentioned seeing?\"\n },\n {\n \"25070\": \"And the second?\"\n },\n {\n \"25071\": \"Were the two mentioned seen together?\"\n },\n {\n \"25072\": \"What were they doing?\"\n },\n {\n \"25073\": \"Did Fred and George buy skates?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"25054\",\n \"answer\": \"They cleared off a part of it.\"\n },\n {\n \"question_id\": \"25055\",\n \"answer\": \"For skating.\"\n },\n {\n \"question_id\": \"25056\",\n \"answer\": \"IX.\"\n },\n {\n \"question_id\": \"25057\",\n \"answer\": \"A RACE ON THE ICE, AND WHAT FOLLOWED.\"\n },\n {\n \"question_id\": \"25058\",\n \"answer\": \"his cold had not entirely left him.\"\n },\n {\n \"question_id\": \"25059\",\n \"answer\": \"Read Tom's magazines.\"\n },\n {\n \"question_id\": \"25060\",\n \"answer\": \"At the stationery store.\"\n },\n {\n \"question_id\": \"25061\",\n \"answer\": \"False\"\n },\n {\n \"question_id\": \"25062\",\n \"answer\": \"To Cedarville\"\n },\n {\n \"question_id\": \"25063\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"25064\",\n \"answer\": \"a new pair of shoes\"\n },\n {\n \"question_id\": \"25065\",\n \"answer\": \"Unknown.\"\n },\n {\n \"question_id\": \"25066\",\n \"answer\": \"Nearly half a mile\"\n },\n {\n \"question_id\": \"25067\",\n \"answer\": \"Snuggers\"\n },\n {\n \"question_id\": \"25068\",\n \"answer\": \"False.\"\n },\n {\n \"question_id\": \"25069\",\n \"answer\": \"Dan Baxter\"\n },\n {\n \"question_id\": \"25070\",\n \"answer\": \"Mr. Grinder\"\n },\n {\n \"question_id\": \"25071\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"25072\",\n \"answer\": \"Walking down the street.\"\n },\n {\n \"question_id\": \"25073\",\n \"answer\": \"Yes.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER X. THOMAS HUTCHINSON. \n\nNOW THAT Grandfather had fought through the old French War, in which our chair made no very distinguished figure, he thought it high time to tell the children some of the more private history of that praiseworthy old piece of furniture. \n\n\"In 1757,\" said Grandfather, \"after Shirley had been summoned to England, Thomas Pownall was appointed governor of Massachusetts. He was a gay and fashionable English gentleman, who had spent much of his life in London, but had a considerable acquaintance with America. The new governor appears to have taken no active part in the war that was going on; although, at one period, he talked of marching against the enemy at the head of his company of cadets. But, on the whole, he probably concluded that it was more befitting a governor to remain quietly in our chair, reading the newspapers and official documents.\" \n\n\"Did the people like Pownall?\" asked Charley. \n\n\"They found no fault with him,\" replied Grandfather. \"It was no time to quarrel with the governor when the utmost harmony was required in order to defend the country against the French. But Pownall did not remain long in Massachusetts. In 1759 he was sent to be governor of South Carolina. In thus exchanging one government for another, I suppose he felt no regret, except at the necessity of leaving Grandfather's chair behind him.\" \n\n\"He might have taken it to South Carolina,\" observed Clara. \n\n\"It appears to me,\" said Laurence, giving the rein to his fancy, \"that the fate of this ancient chair was, somehow or other, mysteriously connected with the fortunes of old Massachusetts. If Governor Pownall had put it aboard the vessel in which he sailed for South Carolina, she would probably have lain wind-bound in Boston Harbor. It was ordained that the chair should not be taken away. Don't you think so, Grandfather?\" \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"77770\": \"What war did the grandpa serve in?\"\n },\n {\n \"77771\": \"What piece of furniture is important?\"\n },\n {\n \"77772\": \"Who was he going to tell about the chair?\"\n },\n {\n \"77773\": \"What year did the story take place in?\"\n },\n {\n \"77774\": \"Who was requested to England?\"\n },\n {\n \"77775\": \"Who was then governor of Mass.?\"\n },\n {\n \"77776\": \"Where had Thomas been for most of his existence?\"\n },\n {\n \"77777\": \"Did he know America well?\"\n },\n {\n \"77778\": \"Did the grandfather think the governor should talk about the war?\"\n },\n {\n \"77779\": \"What should he be doing instead?\"\n },\n {\n \"77780\": \"What else?\"\n },\n {\n \"77781\": \"Did the public like him?\"\n },\n {\n \"77782\": \"Who were they defending the country against?\"\n },\n {\n \"77783\": \"Did he stay in Massachusetts for a long time?\"\n },\n {\n \"77784\": \"Where did he go next?\"\n },\n {\n \"77785\": \"What was his title?\"\n },\n {\n \"77786\": \"Did he take the chair with him?\"\n },\n {\n \"77787\": \"What child is asking a question about Pownall?\"\n },\n {\n \"77788\": \"Who made an observation?\"\n },\n {\n \"77789\": \"What is the grandfather's name?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"77770\",\n \"answer\": \"old French War\"\n },\n {\n \"question_id\": \"77771\",\n \"answer\": \"chair\"\n },\n {\n \"question_id\": \"77772\",\n \"answer\": \"children\"\n },\n {\n \"question_id\": \"77773\",\n \"answer\": \"1757\"\n },\n {\n \"question_id\": \"77774\",\n \"answer\": \"Shirley\"\n },\n {\n \"question_id\": \"77775\",\n \"answer\": \"Thomas Pownall\"\n },\n {\n \"question_id\": \"77776\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"77777\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77778\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77779\",\n \"answer\": \"reading the newspapers\"\n },\n {\n \"question_id\": \"77780\",\n \"answer\": \"official documents\"\n },\n {\n \"question_id\": \"77781\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"77782\",\n \"answer\": \"French\"\n },\n {\n \"question_id\": \"77783\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77784\",\n \"answer\": \"South Carolina\"\n },\n {\n \"question_id\": \"77785\",\n \"answer\": \"governor\"\n },\n {\n \"question_id\": \"77786\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"77787\",\n \"answer\": \"Charley\"\n },\n {\n \"question_id\": \"77788\",\n \"answer\": \"Clara\"\n },\n {\n \"question_id\": \"77789\",\n \"answer\": \"Laurence\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A tiger named Timmy and Bear named Buster were going for a walk in the park by the river and were going to go swim later. As Timmy was running through a field in the park he came upon a small hamster with a broken leg. The hamster looked like it had somewhere to go but couldn't make it because of its leg. Timmy called Buster over to come talk to the hamster and see if there was anything they could do to help. As they talked, Timmy and Buster started to become good friends with the hamster. They found out his name was Henry. Henry was on his way to the river for a drink of water when a mean horse ran by and without looking at where he was going stepped on his leg and broke it. Luckily for Henry Busters mom was a nurse and after watching her work for many years Buster knew how to set a broken bone and fix it. After Buster fixed Henry's leg he picked him up and put him on Timmy's back and they all went to the river to get some water. They all were best friends for the rest of their lives and played together.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66129\": \"What was the tigers name?\"\n },\n {\n \"66130\": \"What kind of animal was Buster?\"\n },\n {\n \"66131\": \"Where were they going for a walk?\"\n },\n {\n \"66132\": \"What were they going to do later?\"\n },\n {\n \"66133\": \"What did Timmy wonder into as he ran through a field?\"\n },\n {\n \"66134\": \"Did it look like the hamster had somewhere to go?\"\n },\n {\n \"66135\": \"Could it make it there?\"\n },\n {\n \"66136\": \"Why not?\"\n },\n {\n \"66137\": \"Who did Timmy call over to talk to the hamster?\"\n },\n {\n \"66138\": \"Did they become friends with the Hamster?\"\n },\n {\n \"66139\": \"Did they find out his name?\"\n },\n {\n \"66140\": \"What was it?\"\n },\n {\n \"66141\": \"Why was he on his way to the river?\"\n },\n {\n \"66142\": \"Who ran by him with out looking?\"\n },\n {\n \"66143\": \"Did the horse step on his leg and break it?\"\n },\n {\n \"66144\": \"Did Buster Know how to set a broken leg and fix it?\"\n },\n {\n \"66145\": \"How did he know that?\"\n },\n {\n \"66146\": \"Were they become best friends for the rest of their lives?\"\n },\n {\n \"66147\": \"Did Timmy Carry the hamster on his back?\"\n },\n {\n \"66148\": \"Did they all go to the river to get some water then?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"66129\",\n \"answer\": \"Timmy\"\n },\n {\n \"question_id\": \"66130\",\n \"answer\": \"a bear\"\n },\n {\n \"question_id\": \"66131\",\n \"answer\": \"the park by the river\"\n },\n {\n \"question_id\": \"66132\",\n \"answer\": \"to swim\"\n },\n {\n \"question_id\": \"66133\",\n \"answer\": \"a hamster with a broken leg\"\n },\n {\n \"question_id\": \"66134\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66135\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66136\",\n \"answer\": \"because of its leg\"\n },\n {\n \"question_id\": \"66137\",\n \"answer\": \"Buster\"\n },\n {\n \"question_id\": \"66138\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66139\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66140\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"66141\",\n \"answer\": \"for a drink of water\"\n },\n {\n \"question_id\": \"66142\",\n \"answer\": \"a mean\"\n },\n {\n \"question_id\": \"66143\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66144\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66145\",\n \"answer\": \"his mom was a nurse\"\n },\n {\n \"question_id\": \"66146\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66147\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"66148\",\n \"answer\": \"yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII. \n\nWHAT PASSED UNDER THE PINE AND WHAT REMAINED THERE. \n\nRamirez was not as happy in his revenge as he had anticipated. He had, in an instant of impulsive rage, fired his mine prematurely, and, as he feared, impotently. Gabriel had not visibly sickened, faded, nor fallen blighted under the exposure of his wife's deceit. It was even doubtful, as far as Ramirez could judge from his quiet reception of the revelation, whether he would even call that wife to account for it. Again, Ramirez was unpleasantly conscious that this exposure had lost some of its dignity and importance by being wrested from his as a _confession_ made under pressure or duress. Worse than all, he had lost the opportunity of previously threatening Mrs. Conroy with the disclosure, and the delicious spectacle of her discomfiture. In point of fact his revenge had been limited to the cautious cowardice of the anonymous letter-writer, who, stabbing in the dark, enjoys neither the contemplation of the agonies of his victim, nor the assertion of his own individual power. \n\nTo this torturing reflection a terrible suspicion of the Spanish translator, Perkins, was superadded. For Gabriel, Ramirez had only that contempt which every lawless lover has for the lawful husband of his mistress, while for Perkins he had that agonising doubt which every lawless lover has for every other man but the husband. In making this exposure had he not precipitated a catastrophe as fatal to himself as to the husband? Might they not both drive this woman into the arms of another man? Ramirez paced the little bedroom of the Grand Conroy Hotel, a prey to that bastard remorse of all natures like his own,--the overwhelming consciousness of opportunities for villany misspent. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2481\": \"What is Ramirez\"\n },\n {\n \"2482\": \"What is Gabriel's role?\"\n },\n {\n \"2483\": \"What did Ramirez do to his mistress?\"\n },\n {\n \"2484\": \"Did it go as planned?\"\n },\n {\n \"2485\": \"Was it clear if Gabriel would confront his wife?\"\n },\n {\n \"2486\": \"What did Ramirez feel the exposure to the secret presented itself as?\"\n },\n {\n \"2487\": \"What opportunity was lost?\"\n },\n {\n \"2488\": \"Where was Ramirez in the scene?\"\n },\n {\n \"2489\": \"Where was he pacing?\"\n },\n {\n \"2490\": \"Did he feel remorseful?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"2481\",\n \"answer\": \"lawless lover\"\n },\n {\n \"question_id\": \"2482\",\n \"answer\": \"the lawful husband of his mistress\"\n },\n {\n \"question_id\": \"2483\",\n \"answer\": \"exposed her deceit\"\n },\n {\n \"question_id\": \"2484\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2485\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"2486\",\n \"answer\": \"lost some of its dignity and importance\"\n },\n {\n \"question_id\": \"2487\",\n \"answer\": \"threatening Mrs. Conroy\"\n },\n {\n \"question_id\": \"2488\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"2489\",\n \"answer\": \"Grand Conroy Hotel\"\n },\n {\n \"question_id\": \"2490\",\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 Jack woke up on a Saturday morning. He got out of bed and went to the bathroom, and brushed his teeth. He put on his clothes and walked to the kitchen. Jack had a few choices to pick for breakfast. He could choose between an apple, pear, cereal or eggs. He picked an apple to eat for breakfast. After his breakfast, he turned on the TV to find something to watch. He could watch sports, the news, the weather or a cooking show. He chose to watch the weather. The reporter said fall was coming but that the weather was getting warmer instead of cooler. He turned off the TV and went outside to the backyard. Jack wanted to make some hot dogs for lunch the next day. He went to the store to get hot dogs, mustard, and ketchup. After coming back home from the store, Jack made lunch. After lunch, he found that he needed to do some cleaning. He started cleaning the kitchen and moved on to the living room.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7040\": \"What did Jack eat for breakfast?\"\n },\n {\n \"7041\": \"What were his choices?\"\n },\n {\n \"7042\": \"What day is it?\"\n },\n {\n \"7043\": \"What did he do after he ate?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"7040\",\n \"answer\": \"Apple. He picked an apple to eat for breakfast\"\n },\n {\n \"question_id\": \"7041\",\n \"answer\": \"apple, pear, cereal or eggs\"\n },\n {\n \"question_id\": \"7042\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"7043\",\n \"answer\": \"he turned on the TV\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Boston Red Sox are an American professional baseball team based in Boston, Massachusetts. The Red Sox compete in Major League Baseball (MLB) as a member club of the American League (AL) East division. The Red Sox have won eight World Series championships and have played in twelve. Founded in as one of the American League's eight charter franchises, the Red Sox' home ballpark has been Fenway Park since . The \"Red Sox\" name was chosen by the team owner, John I. Taylor, around , following the lead of previous teams that had been known as the \"Boston Red Stockings\", including the forerunner of the Atlanta Braves. \n\nBoston was a dominant team in the new league, defeating the Pittsburgh Pirates in the first World Series in 1903 and winning four more championships by . However, they then went into one of the longest championship droughts in baseball history, dubbed the \"Curse of the Bambino\" after its alleged beginning with the Red Sox' sale of Babe Ruth to the rival New York Yankees two years after their world championship in 1918, an 86-year wait before the team's sixth World Championship in . The team's history during that period was punctuated with some of the most memorable moments in World Series history, including Enos Slaughter's \"mad dash\" in , the \"Impossible Dream\" of , Carlton Fisk's home run in , and Bill Buckner's error in . Following their victory in the 2013 World Series, they became the first team to win three World Series trophies in the 21st century, including championships in 2004 and . Red Sox history has also been marked by the team's intense rivalry with the Yankees, arguably the fiercest and most historic in North American professional sports.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61245\": \"Which team is mentioned here?\"\n },\n {\n \"61246\": \"What sport do they play?\"\n },\n {\n \"61247\": \"Where do they compete in?\"\n },\n {\n \"61248\": \"as a member club of what?\"\n },\n {\n \"61249\": \"Have they won any championship?\"\n },\n {\n \"61250\": \"Which one?\"\n },\n {\n \"61251\": \"how many?\"\n },\n {\n \"61252\": \"out of how many games in total?\"\n },\n {\n \"61253\": \"who chose the team'\"\n },\n {\n \"61254\": \"Who did they defeat in 1903?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"61245\",\n \"answer\": \"The Boston Red Sox\"\n },\n {\n \"question_id\": \"61246\",\n \"answer\": \"baseball\"\n },\n {\n \"question_id\": \"61247\",\n \"answer\": \"American League (AL) East division\"\n },\n {\n \"question_id\": \"61248\",\n \"answer\": \"Major League Baseball\"\n },\n {\n \"question_id\": \"61249\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61250\",\n \"answer\": \"World Series\"\n },\n {\n \"question_id\": \"61251\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"61252\",\n \"answer\": \"twelve\"\n },\n {\n \"question_id\": \"61253\",\n \"answer\": \"the team owner, John I. Taylor\"\n },\n {\n \"question_id\": \"61254\",\n \"answer\": \"the Pittsburgh Pirates\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Kazakhstan (, ; , \"Qazaqstan\", ; , \"Kazakhstan\"), officially the Republic of Kazakhstan (, \"Qazaqstan Respwblïkası\"; , \"Respublika Kazakhstan\"), is the world's largest landlocked country, and the ninth largest in the world, with an area of . Kazakhstan is the dominant nation of Central Asia economically, generating 60% of the region's GDP, primarily through its oil/gas industry. It also has vast mineral resources. \n\nKazakhstan is officially a democratic, secular, unitary, constitutional republic with a diverse cultural heritage. Kazakhstan shares borders with Russia, China, Kyrgyzstan, Uzbekistan, and Turkmenistan, and also adjoins a large part of the Caspian Sea. The terrain of Kazakhstan includes flatlands, steppe, taiga, rock canyons, hills, deltas, snow-capped mountains, and deserts. Kazakhstan has an estimated 18 million people . Given its large land area, its population density is among the lowest, at less than 6 people per square kilometre (15 people per sq. mi.). The capital is Astana, where it was moved in 1997 from Almaty, the country's largest city. \n\nThe territory of Kazakhstan has historically been inhabited by Turkic nomads who trace their ancestry to many Turkic states such as Turkic Khaganate and etc. In the 13th century, the territory joined the Mongolian Empire under Genghis Khan. By the 16th century, the Kazakh emerged as a distinct group, divided into three \"jüz\" (ancestor branches occupying specific territories). The Russians began advancing into the Kazakh steppe in the 18th century, and by the mid-19th century, they nominally ruled all of Kazakhstan as part of the Russian Empire. Following the 1917 Russian Revolution, and subsequent civil war, the territory of Kazakhstan was reorganised several times. In 1936, it was made the Kazakh Soviet Socialist Republic, part of the Soviet Union.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24544\": \"Does Kazakhstan border an ocean?\"\n },\n {\n \"24545\": \"Is it the biggest country in the world?\"\n },\n {\n \"24546\": \"How many are bigger?\"\n },\n {\n \"24547\": \"How many landlocked countries are bigger?\"\n },\n {\n \"24548\": \"Does the country border any water at all?\"\n },\n {\n \"24549\": \"What body of water?\"\n },\n {\n \"24550\": \"What kind of nomads used to live in Kazakhstan?\"\n },\n {\n \"24551\": \"What states did they descend from?\"\n },\n {\n \"24552\": \"Who ruled the Mongolian Empire?\"\n },\n {\n \"24553\": \"Did Kazakhstan join it?\"\n },\n {\n \"24554\": \"When?\"\n },\n {\n \"24555\": \"True or False: The area was once part of the USSR.\"\n },\n {\n \"24556\": \"When did this begin?\"\n },\n {\n \"24557\": \"What was it called then?\"\n },\n {\n \"24558\": \"Is the terrain of the country varied?\"\n },\n {\n \"24559\": \"What is one type of terrain included?\"\n },\n {\n \"24560\": \"And another?\"\n },\n {\n \"24561\": \"Is rainforest included?\"\n },\n {\n \"24562\": \"What about desert?\"\n },\n {\n \"24563\": \"How many people live in the country?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"24544\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24545\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24546\",\n \"answer\": \"eight\"\n },\n {\n \"question_id\": \"24547\",\n \"answer\": \"none\"\n },\n {\n \"question_id\": \"24548\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24549\",\n \"answer\": \"Caspian Sea.\"\n },\n {\n \"question_id\": \"24550\",\n \"answer\": \"Turkic\"\n },\n {\n \"question_id\": \"24551\",\n \"answer\": \"Turkic\"\n },\n {\n \"question_id\": \"24552\",\n \"answer\": \"Genghis Khan\"\n },\n {\n \"question_id\": \"24553\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24554\",\n \"answer\": \"13th century,\"\n },\n {\n \"question_id\": \"24555\",\n \"answer\": \"True\"\n },\n {\n \"question_id\": \"24556\",\n \"answer\": \"1936\"\n },\n {\n \"question_id\": \"24557\",\n \"answer\": \"Kazakh Soviet Socialist Republic\"\n },\n {\n \"question_id\": \"24558\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24559\",\n \"answer\": \"flatlands\"\n },\n {\n \"question_id\": \"24560\",\n \"answer\": \"steppe\"\n },\n {\n \"question_id\": \"24561\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"24562\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"24563\",\n \"answer\": \"estimated 18 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 David bought a new house and wanted to start a garden in his backyard. He asked his friend Anthony to go with him to the store. David and Anthony went to the store on Saturday to pick out soil and seeds. They went into the big store and passed by many other things like jewelry, books, and movies, and then they reached the garden section. The store's garden section was huge! They had vegetable seeds, plant seeds, and flower seeds. David wanted to grow cucumbers, tomatoes, lettuce, corn, and potatoes. Anthony helped him find those vegetable seeds. The next day, David started to plant the seeds. In a few weeks, there were lots of vegetables growing in his garden! He began to pick the vegetables and use them when he cooked. He also gave them away as gifts to his family and friends. They loved his vegetables! Soon, David wanted to make his garden even bigger. He went back to the garden store and bought seeds to plant more vegetables. Soon his whole backyard was full of delicious vegetables!\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22179\": \"Who bought a new house?\"\n },\n {\n \"22180\": \"What did he want to start?\"\n },\n {\n \"22181\": \"Where?\"\n },\n {\n \"22182\": \"What\"\n },\n {\n \"22183\": \"Who is his friend?\"\n },\n {\n \"22184\": \"Where did they go?\"\n },\n {\n \"22185\": \"When?\"\n },\n {\n \"22186\": \"What for?\"\n },\n {\n \"22187\": \"Was it a big store?\"\n },\n {\n \"22188\": \"What section did they go to?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"22179\",\n \"answer\": \"David.\"\n },\n {\n \"question_id\": \"22180\",\n \"answer\": \"A garden.\"\n },\n {\n \"question_id\": \"22181\",\n \"answer\": \"In his backyard.\"\n },\n {\n \"question_id\": \"22182\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"22183\",\n \"answer\": \"Anthony.\"\n },\n {\n \"question_id\": \"22184\",\n \"answer\": \"To the store.\"\n },\n {\n \"question_id\": \"22185\",\n \"answer\": \"Saturday.\"\n },\n {\n \"question_id\": \"22186\",\n \"answer\": \"Soil and seeds.\"\n },\n {\n \"question_id\": \"22187\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"22188\",\n \"answer\": \"The garden section.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXIX. \n\n\"O, Time and Death! with certain pace, Though still unequal, hurrying on, O'erturning, in your awful race, The cot, the palace, and the throne!\" \n\nSands. \n\nMaud had little leisure for reflection. The yells and shrieks were followed by the cries of combatants, and the crack of the rifle. Nick hurried her along at a rate so rapid that she had not breath to question or remonstrate, until she found herself at the door of a small store-room, in which her mother was accustomed to keep articles of domestic economy that required but little space. Into this room Nick thrust her, and then she heard the key turn on her egress. For a single moment, Wyandotté stood hesitating whether he should endeavour to get Mrs. Willoughby and her other daughter into the same place of security; then, judging of the futility of the attempt, by the approach of the sounds within, among which he heard the full, manly voice of Robert Willoughby, calling on the garrison to be firm, he raised an answering yell to those of the Mohawks, the war-whoop of his tribe, and plunged into the fray with the desperation of one who ran a muck, and with the delight of a demon. \n\nIn order to understand the cause of this sudden change, it will be necessary to return a little, in the order of time. While Willoughby was with his mother and sisters, Mike had charge of the gate. The rest of the garrison was either at the loops, or was stationed on the roofs. As the darkness increased, Joel mustered sufficient courage to crawl through the hole, and actually reached the gate. Without him, it was found impossible to spring his mine, and he had been prevailed on to risk this much, on condition it should not be asked of him to do such violence to his feelings as to enter the court of a house in which he had seen so many happy days. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"8348\": \"What did Maud have time for?\"\n },\n {\n \"8349\": \"Why?\"\n },\n {\n \"8350\": \"Was she with anyone?\"\n },\n {\n \"8351\": \"Who?\"\n },\n {\n \"8352\": \"What did he do?\"\n },\n {\n \"8353\": \"Where to?\"\n },\n {\n \"8354\": \"Why there?\"\n },\n {\n \"8355\": \"Anyone else around?\"\n },\n {\n \"8356\": \"Who?\"\n },\n {\n \"8357\": \"Who's that?\"\n },\n {\n \"8358\": \"Did she say anything?\"\n },\n {\n \"8359\": \"Did they escape?\"\n },\n {\n \"8360\": \"Where was the rest of the garrison?\"\n },\n {\n \"8361\": \"Anyone in charge of the gate?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"8348\",\n \"answer\": \"Very little\"\n },\n {\n \"question_id\": \"8349\",\n \"answer\": \"A battle was happening.\"\n },\n {\n \"question_id\": \"8350\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8351\",\n \"answer\": \"Nick\"\n },\n {\n \"question_id\": \"8352\",\n \"answer\": \"Hurried her along.\"\n },\n {\n \"question_id\": \"8353\",\n \"answer\": \"A store-room\"\n },\n {\n \"question_id\": \"8354\",\n \"answer\": \"To lock her in there.\"\n },\n {\n \"question_id\": \"8355\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"8356\",\n \"answer\": \"Wyandott\\u00e9\"\n },\n {\n \"question_id\": \"8357\",\n \"answer\": \"Maud's mother\"\n },\n {\n \"question_id\": \"8358\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"8359\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"8360\",\n \"answer\": \"Either at the loops, or was stationed on the roofs.\"\n },\n {\n \"question_id\": \"8361\",\n \"answer\": \"Mike\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIX--HOW NORMAN LESLIE RODE AGAIN TO THE WARS \n\nTidings of these parleys, and marches, and surrenders of cities came to us at Tours, the King sending letters to his good towns by messengers. One of these, the very Thomas Scott of whom I have before spoken, a man out of Rankelburn, in Ettrick Forest, brought a letter for me, which was from Randal Rutherford. \n\n\"Mess-John Urquhart writes for me, that am no clerk,\" said Randal, \"and, to spare his pains, as he writes for the most of us, I say no more than this: come now, or come never, for the Maid will ride to see Paris in three days, or four, let the King follow or not as he will.\" \n\nThere was no more but a cross marked opposite the name of Randal Rutherford, and the date of place and day, August the nineteenth, at Compiegne. \n\nMy face fired, for I felt it, when I had read this, and I made no more ado, but, covenanting with Thomas Scott to be with him when he rode forth at dawn, I went home, put my harness in order, and hired a horse from him that kept the hostelry of the \"Hanging Sword,\" whither also I sent my harness, for that I would sleep there. This was all done in the late evening, secretly, and, after supper, I broke the matter to my master and Elliot. Her face changed to a dead white, and she sat silent, while my master took the word, saying, in our country speech, that \"he who will to Cupar, maun to Cupar,\" and therewith he turned, and walked out and about in the garden. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38777\": \"Who brought a letter for someone?\"\n },\n {\n \"38778\": \"Who wrote the letter?\"\n },\n {\n \"38779\": \"Did he actually write it?\"\n },\n {\n \"38780\": \"Who then?\"\n },\n {\n \"38781\": \"What did the letter mainly say?\"\n },\n {\n \"38782\": \"Where was Thomas Scott from?\"\n },\n {\n \"38783\": \"Where is that?\"\n },\n {\n \"38784\": \"Did Randal sign his name?\"\n },\n {\n \"38785\": \"What did he do instead?\"\n },\n {\n \"38786\": \"Where was it written?\"\n },\n {\n \"38787\": \"When?\"\n },\n {\n \"38788\": \"When would they leave?\"\n },\n {\n \"38789\": \"Would they be driving a car?\"\n },\n {\n \"38790\": \"What then?\"\n },\n {\n \"38791\": \"Did he own one?\"\n },\n {\n \"38792\": \"How does he have one?\"\n },\n {\n \"38793\": \"From who?\"\n },\n {\n \"38794\": \"In what establishment was he sleeping?\"\n },\n {\n \"38795\": \"Did everyone know he hired a horse?\"\n },\n {\n \"38796\": \"When was it done?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"38777\",\n \"answer\": \"Thomas Scott\"\n },\n {\n \"question_id\": \"38778\",\n \"answer\": \"Randal Rutherford.\"\n },\n {\n \"question_id\": \"38779\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38780\",\n \"answer\": \"John Urquhart\"\n },\n {\n \"question_id\": \"38781\",\n \"answer\": \"the Maid will ride to see Paris in three days, or four, let the King follow or not as he will.\\\"\"\n },\n {\n \"question_id\": \"38782\",\n \"answer\": \"f Rankelburn\"\n },\n {\n \"question_id\": \"38783\",\n \"answer\": \", in Ettrick Forest,\"\n },\n {\n \"question_id\": \"38784\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38785\",\n \"answer\": \"used cross mark\"\n },\n {\n \"question_id\": \"38786\",\n \"answer\": \"at Compiegne.\"\n },\n {\n \"question_id\": \"38787\",\n \"answer\": \", August the nineteenth,\"\n },\n {\n \"question_id\": \"38788\",\n \"answer\": \"at dawn\"\n },\n {\n \"question_id\": \"38789\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38790\",\n \"answer\": \"a horse\"\n },\n {\n \"question_id\": \"38791\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38792\",\n \"answer\": \"He hired one\"\n },\n {\n \"question_id\": \"38793\",\n \"answer\": \"Thomas Scott\"\n },\n {\n \"question_id\": \"38794\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"38795\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38796\",\n \"answer\": \"in the late evening\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n A UN report said that around 60 million people across the world are drinking polluted water. Some 4,500 children die every day because of polluted water. A report showed that environmental problems kill 3 million children under five years old each year, making them one of the key contributors in more than 10 million child deaths each year. Dangerous factors include indoor and outdoor air pollution, water pollution. Another study showed that parents and scientists from seven countries including the United States and India think pollution is the biggest threat to children's living environment. Mrs Green tries to teach her daughter Susan by setting a personal example. She picks out recyclable waste and uses the water from the washing machine to wash the toilet. Chinese children mostly learn about environmental protection in school. Some non-governmental organizations and child centres also teach kids to protect the environment. \"More parents have known about it. Family is now playing a more important role,\" says a Chinese official. Vera Lehmann, a German scientist says many Chinese now think more of pollution. \"I was surprised to find many schools in China are willing to educate the children on environment,\" Lehmann said. \"There has been a big change between now and ten years ago when I first travelled here.\"\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34071\": \"What kind of water are millions of people drinking?\"\n },\n {\n \"34072\": \"How many people are drinking it?\"\n },\n {\n \"34073\": \"How many children pass daily because of it?\"\n },\n {\n \"34074\": \"How many children younger than 3 die from environmental problems yearly?\"\n },\n {\n \"34075\": \"What is one of the dangerous factors?\"\n },\n {\n \"34076\": \"And another?\"\n },\n {\n \"34077\": \"Who thinks that pollution is the biggest problem for children worldwide?\"\n },\n {\n \"34078\": \"From where?\"\n },\n {\n \"34079\": \"What is one country?\"\n },\n {\n \"34080\": \"And another?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"34071\",\n \"answer\": \"polluted\"\n },\n {\n \"question_id\": \"34072\",\n \"answer\": \"60 million people\"\n },\n {\n \"question_id\": \"34073\",\n \"answer\": \"4,500\"\n },\n {\n \"question_id\": \"34074\",\n \"answer\": \"3 million children\"\n },\n {\n \"question_id\": \"34075\",\n \"answer\": \"indoor and outdoor air pollution\"\n },\n {\n \"question_id\": \"34076\",\n \"answer\": \"water pollution\"\n },\n {\n \"question_id\": \"34077\",\n \"answer\": \"parents and scientists\"\n },\n {\n \"question_id\": \"34078\",\n \"answer\": \"from seven countries\"\n },\n {\n \"question_id\": \"34079\",\n \"answer\": \"United States\"\n },\n {\n \"question_id\": \"34080\",\n \"answer\": \"India\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nA CYCLONE. \n\n\"WHAT on earth is it all about?\" Arthur Hill asked his comrades as the three boys gathered together after the work was done. \"Why, there is not a breath of wind. Is it all done for practice, do you think?\" \n\nJim shook his head. \"I expect we are going to have one of those cyclones Mr. Timmins was speaking about the other day, though I don't see any signs of it, except the queer colour of the sky. I expect the glass must have been going down very fast. There is the captain popping into his cabin again. Well, he is not long about it,\" he added, as Captain Murchison hurried out again and spoke to Mr. Timmins, who immediately gave the order, \"Furl mizzen and main topsails! Lower down the fore-staysail!\" \n\n\"Well, there can't be more to do now,\" Jack said, when the order was carried out, \"unless we set to work to set them all again.\" \n\n\"Look, Jack!\" Arthur Hill said, grasping his arm and pointing away on the starboard beam. \n\nA wall of black mist seemed to hang upon the horizon, rising momentarily higher and higher. \n\n\"The squall is coming, lads!\" the captain shouted. \"When it strikes her hold on for your lives. Carpenter, put a man with an axe at each of the weather-shrouds. We may have to cut away before we have done with it.\" \n\nAll eyes were now turned towards the bank of cloud, which was rising with extraordinary rapidity. Small portions of the upper line seemed at times to be torn off and to rush ahead of the main body, and then to disappear, suddenly blown into fragments. A low moaning sound was heard, and a line of white could be made out at the foot of the cloud-bank. The water around the ship was still as smooth as glass, though there was a slight swell, which swayed her to and fro, and caused the shrouds and blocks to rattle. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99219\": \"Were they on a ship?\"\n },\n {\n \"99220\": \"What was the captains name?\"\n },\n {\n \"99221\": \"What was headed their way?\"\n },\n {\n \"99222\": \"Who is giving the orders?\"\n },\n {\n \"99223\": \"What did he order?\"\n },\n {\n \"99224\": \"What was on the starboard side?\"\n },\n {\n \"99225\": \"Was it the cyclone?\"\n },\n {\n \"99226\": \"What was it doing?\"\n },\n {\n \"99227\": \"What did the skipper yell?\"\n },\n {\n \"99228\": \"What did he order of Carpenter\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"99219\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99220\",\n \"answer\": \"Murchison\"\n },\n {\n \"question_id\": \"99221\",\n \"answer\": \"cyclones\"\n },\n {\n \"question_id\": \"99222\",\n \"answer\": \"Mr. Timmins\"\n },\n {\n \"question_id\": \"99223\",\n \"answer\": \"\\\"Furl mizzen and main topsails! Lower down the fore-staysail!\\\"\"\n },\n {\n \"question_id\": \"99224\",\n \"answer\": \"A wall of black mist\"\n },\n {\n \"question_id\": \"99225\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99226\",\n \"answer\": \"rising momentarily higher and higher\"\n },\n {\n \"question_id\": \"99227\",\n \"answer\": \"\\\"The squall is coming, lads!\"\n },\n {\n \"question_id\": \"99228\",\n \"answer\": \"put a man with an axe at each of the weather-shrouds. We may have to cut away before we have done with 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 XXXV \n\nHIS WIFE \n\nWrayson drew a little breath and looked back at Sydney Barnes. \n\n\"You asked me a question,\" he said. \"I believe I have heard of your brother calling himself by some such name.\" \n\nBarnes grasped him by the arm. \n\n\"Look here,\" he said, \"come and repeat that to the young lady over there. She's with me. It won't do you any harm.\" \n\nWrayson rose to his feet, but before he could move he felt Heneage's hand fall upon his arm. \n\n\"Where are you going, Wrayson?\" he asked. \n\nBarnes looked up at him anxiously. His pale face seemed twisted into a scowl. \n\n\"Don't you interfere!\" he exclaimed. \"You've done me enough harm, you have. You let Mr. Wrayson pass. He's coming with me.\" \n\nHeneage took no more notice of him than he would of a yapping terrier. He looked over his head into Wrayson's eyes. \n\n\"Wrayson,\" he said, \"don't have anything more to do with this business. Take my advice. I know more than you do about it. If you go on, I swear to you that there is nothing but misery at the end.\" \n\n\"I know more than you think I do,\" Wrayson answered quietly. \"I know more indeed than you have any idea of. If the end were in hell I should not hold back.\" \n\nHeneage hesitated for a moment. He stood there with darkening face, an obstinate, almost a threatening figure. Passers-by looked with a gleam of interest at the oddly assorted trio, whose conversation was obviously far removed from the ordinary chatter of the loungers about the place. One or two made an excuse to linger by--it seemed possible that there might be developments. Heneage, however, disappointed them. He turned suddenly upon his heel and left the room. Those who had the curiosity to follow along the corridor saw him, without glancing to the right or to the left, descend the stairs and walk out of the building. He had the air of a man who abandons finally a hopeless task. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"18224\": \"Who grabbed someone's arm?\"\n },\n {\n \"18225\": \"Who stood up?\"\n },\n {\n \"18226\": \"Whose hand was on his arm?\"\n },\n {\n \"18227\": \"Who was anxious?\"\n },\n {\n \"18228\": \"Who took a breath?\"\n },\n {\n \"18229\": \"Did he look back at someone?\"\n },\n {\n \"18230\": \"Who?\"\n },\n {\n \"18231\": \"Was a young woman being spoken about?\"\n },\n {\n \"18232\": \"Who looked into Wrayson's eyes?\"\n },\n {\n \"18233\": \"How did passers-by look?\"\n },\n {\n \"18234\": \"Did any of them hang around for a bit?\"\n },\n {\n \"18235\": \"How many?\"\n },\n {\n \"18236\": \"Who left the room?\"\n },\n {\n \"18237\": \"Were there stairs in the building he left?\"\n },\n {\n \"18238\": \"What kind of task did he seem to be abandoning?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"18224\",\n \"answer\": \"Barnes\"\n },\n {\n \"question_id\": \"18225\",\n \"answer\": \"Wrayson\"\n },\n {\n \"question_id\": \"18226\",\n \"answer\": \"Heneage's\"\n },\n {\n \"question_id\": \"18227\",\n \"answer\": \"Barnes\"\n },\n {\n \"question_id\": \"18228\",\n \"answer\": \"Wrayson\"\n },\n {\n \"question_id\": \"18229\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18230\",\n \"answer\": \"Sydney Barnes.\"\n },\n {\n \"question_id\": \"18231\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18232\",\n \"answer\": \"Heneage\"\n },\n {\n \"question_id\": \"18233\",\n \"answer\": \"with a gleam of interest\"\n },\n {\n \"question_id\": \"18234\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18235\",\n \"answer\": \"One or two\"\n },\n {\n \"question_id\": \"18236\",\n \"answer\": \"Heneage\"\n },\n {\n \"question_id\": \"18237\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18238\",\n \"answer\": \"a hopeless task.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Jonny Jones was a nice and popular boy, who everyone loved.He was so much fun, so good and so kind to everyone that they treated him wonderfully. But as everything he needed was given to him without asking, Jonny became a _ . He was so spoiled by everyone that he couldn't stand any hardship. \n\nOne day Johnny heard a mother saying to her son \"Come on, my boy, get up and stop crying. You are behaving like Johnny Jones.\" That made Johnny feel very ashamed. But he was sure that he would prefer to be known as a good boy rather than a fool. Worried, he spoke to his father about all this, though he was afraid that maybe he would be laughed at for having such worries. His father, far from laughing at Johnny, told him that a teacher had taught him a secret trick to turn him into the toughest boy off all. \"Eat a candy less, study a minute more, and count to five before crying.\" Johnny asked, \"Just that? \" \"Yes, just that,\" said his father, \"It's very simple, but I warn you that it won't be easy.\" \n\nJohnny was happy like a bird, ready to follow the advice. He went to see his mother, and she noticed how happy he was when she offered him candies. \"One candy less\", thought Johnny, so he only took one. That afternoon he had another chance to put it into practice by studying one minute more. The result was that he missed the first minute of his favorite program! But having achieved this gave him a great feeling of satisfaction. The same happened when he ran up against the corner of the kitchen table. He only managed to count to four before crying, but that was left deeply in his mother's memory. \n\nOver the following days Johnny kept using the motto in his life as his father told him. And the more he put this into practice ,the easier it got. Before long he realized that he could also do things that would seem impossible before.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"28596\": \"Who did Johnny get advice from?\"\n },\n {\n \"28597\": \"What did he tell him about sweets?\"\n },\n {\n \"28598\": \"How long should he study?\"\n },\n {\n \"28599\": \"What should he do prior to bawling?\"\n },\n {\n \"28600\": \"How did he feel about this advice?\"\n },\n {\n \"28601\": \"What happened when he studied longer?\"\n },\n {\n \"28602\": \"How did he feel?\"\n },\n {\n \"28603\": \"What happened that made him want to cry?\"\n },\n {\n \"28604\": \"How long did he last before crying?\"\n },\n {\n \"28605\": \"Was he a nice kid?\"\n },\n {\n \"28606\": \"Did people treat him well?\"\n },\n {\n \"28607\": \"why?\"\n },\n {\n \"28608\": \"Was he spoiled?\"\n },\n {\n \"28609\": \"by who?\"\n },\n {\n \"28610\": \"How did he fare when things went bad?\"\n },\n {\n \"28611\": \"What did a mother compare her child to?\"\n },\n {\n \"28612\": \"Why\"\n },\n {\n \"28613\": \"How did johnny feel?\"\n },\n {\n \"28614\": \"How did he think his father would react?\"\n },\n {\n \"28615\": \"did he?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"28596\",\n \"answer\": \"his father\"\n },\n {\n \"question_id\": \"28597\",\n \"answer\": \"Eat less\"\n },\n {\n \"question_id\": \"28598\",\n \"answer\": \"a minute more\"\n },\n {\n \"question_id\": \"28599\",\n \"answer\": \"count to five\"\n },\n {\n \"question_id\": \"28600\",\n \"answer\": \"happy\"\n },\n {\n \"question_id\": \"28601\",\n \"answer\": \"He missed part of a show\"\n },\n {\n \"question_id\": \"28602\",\n \"answer\": \"satisfied\"\n },\n {\n \"question_id\": \"28603\",\n \"answer\": \"he ran into the kitchen table\"\n },\n {\n \"question_id\": \"28604\",\n \"answer\": \"a count of four\"\n },\n {\n \"question_id\": \"28605\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28606\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28607\",\n \"answer\": \"he was fun and kind\"\n },\n {\n \"question_id\": \"28608\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"28609\",\n \"answer\": \"everyone\"\n },\n {\n \"question_id\": \"28610\",\n \"answer\": \"he couldn't stand it\"\n },\n {\n \"question_id\": \"28611\",\n \"answer\": \"Johnny Jones\"\n },\n {\n \"question_id\": \"28612\",\n \"answer\": \"he was crying\"\n },\n {\n \"question_id\": \"28613\",\n \"answer\": \"ashamed\"\n },\n {\n \"question_id\": \"28614\",\n \"answer\": \"by laughing\"\n },\n {\n \"question_id\": \"28615\",\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 SAVANNAH, Georgia (CNN) -- What does it really take to dress someone as fashion-forward and in the spotlight as Michelle Obama? \n\nDesigner Yigal Azrouël talks with students at the Savannah College of Art and Design. \n\n\"Bravery,\" says Isabel Toledo, designer of the first lady's attention-grabbing lemongrass yellow wool and lace ensemble that she wore for the inauguration of her husband President Obama. \n\nBut along with bravery about their fashion sense, new graduates at the Savannah College of Art and Design (SCAD) will need courage in the face of the current recession. \n\n\"Fashion is being hit particularly hard in the new job market. Fashion as a whole is feeling a greater level of lost revenues and in turn has lost opportunities for sustaining volume and even more so for growth,\" said Marshal Cohen, chief analyst and expert fashion analyst for the NPD market research group. \n\n\"The ironic thing is that new ideas and creations are just what the industry needs but is too cautious to react to it,\" he added. \n\nFull of new ideas, student designers say they are aware of the challenges as they head out into the work force, but they're optimistic they can make it in these tough times. \n\n\"After I graduate, I'm going to New York, I have an internship lined up with a trend forecasting company, Promostyl,\" said Shelby Simon whose designs made it into SCAD's annual fashion show. See the runway fashions » \n\n\"Everyone needs an assistant so hopefully I'll be able to find something pretty easily,\" said Caitlin Clarke. She would like to land an internship in New York and has interviewed with New York & Co. and applied for positions at Oscar de la Renta, Calvin Klein and Zac Posen. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"50690\": \"Who is Yigal Azrouel talking with?\"\n },\n {\n \"50691\": \"At what school?\"\n },\n {\n \"50692\": \"What did Isabel Toledo say?\"\n },\n {\n \"50693\": \"What clothing did she create?\"\n },\n {\n \"50694\": \"What will graduates from the school need besides being brave?\"\n },\n {\n \"50695\": \"What industry is suffering in the new job market?\"\n },\n {\n \"50696\": \"Has it gained revenue?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"50690\",\n \"answer\": \"students\"\n },\n {\n \"question_id\": \"50691\",\n \"answer\": \"Savannah College of Art and Design\"\n },\n {\n \"question_id\": \"50692\",\n \"answer\": \"\\\"Bravery,\\\" answered Isabel Toledo\"\n },\n {\n \"question_id\": \"50693\",\n \"answer\": \"the first lady's attention-grabbing lemongrass yellow wool and lace ensemble that she wore for the inauguration of her husband President Obama\"\n },\n {\n \"question_id\": \"50694\",\n \"answer\": \"new ideas and creations\"\n },\n {\n \"question_id\": \"50695\",\n \"answer\": \"Fashion\"\n },\n {\n \"question_id\": \"50696\",\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 John Ronald Reuel Tolkien, (; 3 January 1892 – 2 September 1973) was an English writer, poet, philologist, and university professor who is best known as the author of the classic high-fantasy works \"The Hobbit\", \"The Lord of the Rings\", and \"The Silmarillion\". \n\nHe served as the Rawlinson and Bosworth Professor of Anglo-Saxon and Fellow of Pembroke College, Oxford, from 1925 to 1945 and Merton Professor of English Language and Literature and Fellow of Merton College, Oxford, from 1945 to 1959. He was at one time a close friend of C. S. Lewis—they were both members of the informal literary discussion group known as the Inklings. Tolkien was appointed a Commander of the Order of the British Empire by Queen Elizabeth II on 28 March 1972. \n\nAfter Tolkien's death, his son Christopher published a series of works based on his father's extensive notes and unpublished manuscripts, including \"The Silmarillion\". These, together with \"The Hobbit\" and \"The Lord of the Rings\", form a connected body of tales, poems, fictional histories, invented languages, and literary essays about a fantasy world called Arda and Middle-earth within it. Between 1951 and 1955, Tolkien applied the term \"legendarium\" to the larger part of these writings. \n\nWhile many other authors had published works of fantasy before Tolkien, the great success of \"The Hobbit\" and \"The Lord of the Rings\" led directly to a popular resurgence of the genre. This has caused Tolkien to be popularly identified as the \"father\" of modern fantasy literature—or, more precisely, of high fantasy. In 2008, \"The Times\" ranked him sixth on a list of \"The 50 greatest British writers since 1945\". \"Forbes\" ranked him the 5th top-earning \"dead celebrity\" in 2009.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55596\": \"Who is featured in this article?\"\n },\n {\n \"55597\": \"What work is he famous for?\"\n },\n {\n \"55598\": \"Can you name one?\"\n },\n {\n \"55599\": \"Were there others?\"\n },\n {\n \"55600\": \"They were?\"\n },\n {\n \"55601\": \"Isn't there another?\"\n },\n {\n \"55602\": \"Where is he from?\"\n },\n {\n \"55603\": \"What famous writer is he friends with?\"\n },\n {\n \"55604\": \"What organization did they belong to?\"\n },\n {\n \"55605\": \"How is he popularly known these days?\"\n },\n {\n \"55606\": \"When was he born?\"\n },\n {\n \"55607\": \"Is he still living?\"\n },\n {\n \"55608\": \"When did he die?\"\n },\n {\n \"55609\": \"What year?\"\n },\n {\n \"55610\": \"Besides writing, what else did he do?\"\n },\n {\n \"55611\": \"What was his profession?\"\n },\n {\n \"55612\": \"What was the name of the place his writings were about?\"\n },\n {\n \"55613\": \"What was another name associated with this world?\"\n },\n {\n \"55614\": \"How was he ranked by the Times?\"\n },\n {\n \"55615\": \"Sixth what?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"55596\",\n \"answer\": \"ohn Ronald Reuel Tolkien\"\n },\n {\n \"question_id\": \"55597\",\n \"answer\": \"classic high-fantasy works\"\n },\n {\n \"question_id\": \"55598\",\n \"answer\": \"The Hobbit\"\n },\n {\n \"question_id\": \"55599\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55600\",\n \"answer\": \"The Lord of the Rings\"\n },\n {\n \"question_id\": \"55601\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"55602\",\n \"answer\": \"england\"\n },\n {\n \"question_id\": \"55603\",\n \"answer\": \"C.\\u00a0S.\\u00a0Lewis\"\n },\n {\n \"question_id\": \"55604\",\n \"answer\": \"Inklings\"\n },\n {\n \"question_id\": \"55605\",\n \"answer\": \"father\\\" of modern fantasy literature\"\n },\n {\n \"question_id\": \"55606\",\n \"answer\": \"3 January 1892\"\n },\n {\n \"question_id\": \"55607\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55608\",\n \"answer\": \"2 September\"\n },\n {\n \"question_id\": \"55609\",\n \"answer\": \"1973\"\n },\n {\n \"question_id\": \"55610\",\n \"answer\": \"tales, poems\"\n },\n {\n \"question_id\": \"55611\",\n \"answer\": \"English writer, poet, philologist, and university professor\"\n },\n {\n \"question_id\": \"55612\",\n \"answer\": \"Arda\"\n },\n {\n \"question_id\": \"55613\",\n \"answer\": \"Middle-earth\"\n },\n {\n \"question_id\": \"55614\",\n \"answer\": \"sixth\"\n },\n {\n \"question_id\": \"55615\",\n \"answer\": \"he 50 greatest British writers\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n At no more than 200 kilometres (120 mi) north to south and 130 kilometres (81 mi) east to west, Swaziland is one of the smallest countries in Africa. Despite its size, however, its climate and topography is diverse, ranging from a cool and mountainous highveld to a hot and dry lowveld. The population is primarily ethnic Swazis whose language is siSwati. They established their kingdom in the mid-18th century under the leadership of Ngwane III; the present boundaries were drawn up in 1881. After the Anglo-Boer War, Swaziland was a British protectorate from 1903 until 1967. It regained its independence on 6 September 1968. \n\nSwaziland is a developing country with a small economy. Its GDP per capita of $9,714 means it is classified as a country with a lower-middle income. As a member of the Southern African Customs Union (SACU) and Common Market for Eastern and Southern Africa (COMESA), its main local trading partner is South Africa. Swaziland's currency, the lilangeni, is pegged to the South African rand. Swaziland's major overseas trading partners are the United States and the European Union. The majority of the country's employment is provided by its agricultural and manufacturing sectors. Swaziland is a member of the Southern African Development Community (SADC), the African Union, the Commonwealth of Nations and the United Nations.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20048\": \"Is Swaziland a developing country?\"\n },\n {\n \"20049\": \"Do they have a large economy?\"\n },\n {\n \"20050\": \"What size is it?\"\n },\n {\n \"20051\": \"What is their GDP per capita?\"\n },\n {\n \"20052\": \"Does this mean anything for their classification?\"\n },\n {\n \"20053\": \"Are they a member of any trade groups or unions?\"\n },\n {\n \"20054\": \"Do they have a main trading partner?\"\n },\n {\n \"20055\": \"Who?\"\n },\n {\n \"20056\": \"Do they have their own currency?\"\n },\n {\n \"20057\": \"What is it called?\"\n },\n {\n \"20058\": \"Is it pegged to another currency?\"\n },\n {\n \"20059\": \"Whose?\"\n },\n {\n \"20060\": \"What is it called?\"\n },\n {\n \"20061\": \"Do they have overseas trading partners?\"\n },\n {\n \"20062\": \"United States and Japan?\"\n },\n {\n \"20063\": \"Is Swaziland one of the largest companies?\"\n },\n {\n \"20064\": \"*country\"\n },\n {\n \"20065\": \"What size is it?\"\n },\n {\n \"20066\": \"Does it have a diverse climate?\"\n },\n {\n \"20067\": \"Topography?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"20048\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20049\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20050\",\n \"answer\": \"small\"\n },\n {\n \"question_id\": \"20051\",\n \"answer\": \"$9,714\"\n },\n {\n \"question_id\": \"20052\",\n \"answer\": \"t is classified as a country with a lower-middle income\"\n },\n {\n \"question_id\": \"20053\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20054\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20055\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"20056\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20057\",\n \"answer\": \"lilangeni\"\n },\n {\n \"question_id\": \"20058\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20059\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"20060\",\n \"answer\": \"rand\"\n },\n {\n \"question_id\": \"20061\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20062\",\n \"answer\": \"Not Japan but European Union\"\n },\n {\n \"question_id\": \"20063\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"20064\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"20065\",\n \"answer\": \"no more than 200 kilometres (120 mi) north to south and 130 kilometres (81 mi) east to west,\"\n },\n {\n \"question_id\": \"20066\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"20067\",\n \"answer\": \"Yes\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The Norman conquest of England was the 11th-century invasion and occupation of England by an army of Norman, Breton, and French soldiers led by Duke William II of Normandy, later styled as William the Conqueror. \n\nWilliam's claim to the English throne derived from his familial relationship with the childless Anglo-Saxon King Edward the Confessor, who may have encouraged William's hopes for the throne. Edward died in January 1066 and was succeeded by his brother-in-law Harold Godwinson. The Norwegian king Harald Hardrada invaded northern England in September 1066 and was victorious at the Battle of Fulford, but Harold defeated and killed him at the Battle of Stamford Bridge on 25 September. Within days, William landed in southern England. Harold marched south to confront him, leaving a significant portion of his army in the north. Harold's army confronted William's invaders on 14 October at the Battle of Hastings; William's force defeated Harold, who was killed in the engagement. \n\nAlthough William's main rivals were gone, he still faced rebellions over the following years and was not secure on his throne until after 1072. The lands of the resisting English elite were confiscated; some of the elite fled into exile. To control his new kingdom, William granted lands to his followers and built castles commanding military strongpoints throughout the land. Other effects of the conquest included the court and government, the introduction of the Norman language as the language of the elites, and changes in the composition of the upper classes, as William enfeoffed lands to be held directly from the king. More gradual changes affected the agricultural classes and village life: the main change appears to have been the formal elimination of slavery, which may or may not have been linked to the invasion. There was little alteration in the structure of government, as the new Norman administrators took over many of the forms of Anglo-Saxon government.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"128\": \"Who was the leader?\"\n },\n {\n \"129\": \"Did he have a nickname?\"\n },\n {\n \"130\": \"Who was his dad?\"\n },\n {\n \"131\": \"Did he have a dad-like figure?\"\n },\n {\n \"132\": \"When did Ed die?\"\n },\n {\n \"133\": \"Did the leader fight with one of Ed's relatives?\"\n },\n {\n \"134\": \"Who?\"\n },\n {\n \"135\": \"How was he related?\"\n },\n {\n \"136\": \"When did they fight?\"\n },\n {\n \"137\": \"Was the leader totally safe on his seat of power?\"\n },\n {\n \"138\": \"Why not?\"\n },\n {\n \"139\": \"How did he get things in order?\"\n },\n {\n \"140\": \"Did he greatly increase the number of slaves?\"\n },\n {\n \"141\": \"What became the most exclusive type of speech?\"\n },\n {\n \"142\": \"Did the form of the governing party become a lot different?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"128\",\n \"answer\": \"Duke William II of Normandy\"\n },\n {\n \"question_id\": \"129\",\n \"answer\": \"William the Conqueror\"\n },\n {\n \"question_id\": \"130\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"131\",\n \"answer\": \"he had a familial relationship with the childless Anglo-Saxon King Edward\"\n },\n {\n \"question_id\": \"132\",\n \"answer\": \"January 1066\"\n },\n {\n \"question_id\": \"133\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"134\",\n \"answer\": \"Harold Godwinson\"\n },\n {\n \"question_id\": \"135\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"136\",\n \"answer\": \"on 25 September. Within days afther that\"\n },\n {\n \"question_id\": \"137\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"138\",\n \"answer\": \"he still faced rebellions over the following years and was not secure on his throne until after 1072\"\n },\n {\n \"question_id\": \"139\",\n \"answer\": \"William granted lands to his followers and built castles commanding military strongpoints throughout the land.\"\n },\n {\n \"question_id\": \"140\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"141\",\n \"answer\": \"the Norman language\"\n },\n {\n \"question_id\": \"142\",\n \"answer\": \"no\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The city's name was historically written as 那古野 or 名護屋 (both read as \"Nagoya\"). One possible origin is the adjective , meaning 'peaceful'. \n\nThe name Chūkyō (中京, consisting of \"chū\" (middle) + \"kyō\" (capital)) is also used to refer to Nagoya. Notable examples of the use of the name Chūkyō include the Chūkyō Industrial Area, Chūkyō Metropolitan Area, Chūkyō Television Broadcasting, Chukyo University and the Chukyo Racecourse. \n\nOda Nobunaga and his protégés Toyotomi Hideyoshi and Tokugawa Ieyasu were powerful warlords based in the Nagoya area who gradually succeeded in unifying Japan. In 1610, Tokugawa Ieyasu moved the capital of Owari Province from Kiyosu, about seven kilometers () away, to a more strategic location in present-day Nagoya. \n\nDuring this period Nagoya Castle was constructed, built partly from materials taken from Kiyosu Castle. During the construction, the entire town around Kiyosu Castle, consisting of around 60,000 people, moved from Kiyosu to the newly planned town around Nagoya Castle. Around the same time, the nearby ancient Atsuta Shrine was designated as a , called Miya (the Shrine), on the important Tōkaidō road, which linked the two capitals of Kyoto and Edo (now Tokyo). A town developed around the temple to support travelers. The castle and shrine towns formed the city.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70506\": \"Does the city of Nagoya have another name?\"\n },\n {\n \"70507\": \"What is it?\"\n },\n {\n \"70508\": \"What does that mean in Japanese?\"\n },\n {\n \"70509\": \"Were there warlords in the area?\"\n },\n {\n \"70510\": \"Name one of them.\"\n },\n {\n \"70511\": \"Name another, please.\"\n },\n {\n \"70512\": \"What was their goal for the country?\"\n },\n {\n \"70513\": \"Was Nagoya always the capital of its province?\"\n },\n {\n \"70514\": \"Since when has it been?\"\n },\n {\n \"70515\": \"Who made that happen?\"\n },\n {\n \"70516\": \"When?\"\n },\n {\n \"70517\": \"What was the old capital?\"\n },\n {\n \"70518\": \"How far away is it from Nagoya?\"\n },\n {\n \"70519\": \"What's the advantage of where the new capital is?\"\n },\n {\n \"70520\": \"Did any important buildings go up around the time of the move?\"\n },\n {\n \"70521\": \"Where did they get the stuff to build it?\"\n },\n {\n \"70522\": \"Was there a population center there, too.\"\n },\n {\n \"70523\": \"What happened to it?\"\n },\n {\n \"70524\": \"What word do some people think the city's name comes from?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"70506\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70507\",\n \"answer\": \"Ch\\u016bky\\u014d\"\n },\n {\n \"question_id\": \"70508\",\n \"answer\": \"\\\"ch\\u016b\\\" (middle) + \\\"ky\\u014d\\\" (capital)\"\n },\n {\n \"question_id\": \"70509\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70510\",\n \"answer\": \"Oda Nobunaga\"\n },\n {\n \"question_id\": \"70511\",\n \"answer\": \"Toyotomi Hideyoshi\"\n },\n {\n \"question_id\": \"70512\",\n \"answer\": \"unifying Japan\"\n },\n {\n \"question_id\": \"70513\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70514\",\n \"answer\": \"1610\"\n },\n {\n \"question_id\": \"70515\",\n \"answer\": \"Tokugawa Ieyasu\"\n },\n {\n \"question_id\": \"70516\",\n \"answer\": \"1610\"\n },\n {\n \"question_id\": \"70517\",\n \"answer\": \"Kiyosu\"\n },\n {\n \"question_id\": \"70518\",\n \"answer\": \"about seven kilometers\"\n },\n {\n \"question_id\": \"70519\",\n \"answer\": \"it is a more strategic location\"\n },\n {\n \"question_id\": \"70520\",\n \"answer\": \"Nagoya Castle\"\n },\n {\n \"question_id\": \"70521\",\n \"answer\": \"Kiyosu Castle\"\n },\n {\n \"question_id\": \"70522\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70523\",\n \"answer\": \"it moved from Kiyosu to the newly planned town around Nagoya Castle\"\n },\n {\n \"question_id\": \"70524\",\n \"answer\": \"peacefu\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Registered dietitian nutritionists (RDs or RDNs) are health professionals qualified to provide safe, evidence-based dietary advice which includes a review of what is eaten, a thorough review of nutritional health, and a personalized nutritional treatment plan. They also provide preventive and therapeutic programs at work places, schools and similar institutions. Certified Clinical Nutritionists or CCNs, are trained health professionals who also offer dietary advice on the role of nutrition in chronic disease, including possible prevention or remediation by addressing nutritional deficiencies before resorting to drugs. Government regulation especially in terms of licensing, is currently less universal for the CCN than that of RD or RDN. Another advanced Nutrition Professional is a Certified Nutrition Specialist or CNS. These Board Certified Nutritionists typically specialize in obesity and chronic disease. In order to become board certified, potential CNS candidate must pass an examination, much like Registered Dieticians. This exam covers specific domains within the health sphere including; Clinical Intervention and Human Health.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1649\": \"what is an abbreviaion for them?\"\n },\n {\n \"1650\": \"what does the exam cover?\"\n },\n {\n \"1651\": \"what do RDs provide?\"\n },\n {\n \"1652\": \"what is another nutrition prefessional?\"\n },\n {\n \"1653\": \"what is the short term for them?\"\n },\n {\n \"1654\": \"what do they offer?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1649\",\n \"answer\": \"(RDs or RDNs\"\n },\n {\n \"question_id\": \"1650\",\n \"answer\": \"health professionals\"\n },\n {\n \"question_id\": \"1651\",\n \"answer\": \"health professionals\"\n },\n {\n \"question_id\": \"1652\",\n \"answer\": \"Clinical Nutritionists\"\n },\n {\n \"question_id\": \"1653\",\n \"answer\": \"CCNs\"\n },\n {\n \"question_id\": \"1654\",\n \"answer\": \"dietary advice\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. A PRISONER OF LOVE \n\nWhen Eric betook himself to the orchard the next evening he had to admit that he felt rather nervous. He did not know how the Gordons would receive him and certainly the reports he had heard of them were not encouraging, to say the least of it. Even Mrs. Williamson, when he had told her where he was going, seemed to look upon him as one bent on bearding a lion in his den. \n\n\"I do hope they won't be very uncivil to you, Master,\" was the best she could say. \n\nHe expected Kilmeny to be in the orchard before him, for he had been delayed by a call from one of the trustees; but she was nowhere to be seen. He walked across it to the wild cherry lane; but at its entrance he stopped short in sudden dismay. \n\nNeil Gordon had stepped from behind the trees and stood confronting him, with blazing eyes, and lips which writhed in emotion so great that at first it prevented him from speaking. \n\nWith a thrill of dismay Eric instantly understood what must have taken place. Neil had discovered that he and Kilmeny had been meeting in the orchard, and beyond doubt had carried that tale to Janet and Thomas Gordon. He realized how unfortunate it was that this should have happened before he had had time to make his own explanation. It would probably prejudice Kilmeny's guardians still further against him. At this point in his thoughts Neil's pent up passion suddenly found vent in a burst of wild words. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1468\": \"What is the name of the chapter?\"\n },\n {\n \"1469\": \"Where would Eric go tomorrow?\"\n },\n {\n \"1470\": \"How did he feel?\"\n },\n {\n \"1471\": \"Who would be greeting him?\"\n },\n {\n \"1472\": \"Who was he concerned would not be happy to see him?\"\n },\n {\n \"1473\": \"Who was also concerned when learning about the meeting?\"\n },\n {\n \"1474\": \"What title did she refer to him by?\"\n },\n {\n \"1475\": \"What delayed him from seeing Kilmeny?\"\n },\n {\n \"1476\": \"Was she at the orchard?\"\n },\n {\n \"1477\": \"What happened when he go to the entrance?\"\n },\n {\n \"1478\": \"Who startled him?\"\n },\n {\n \"1479\": \"Was Neil calm?\"\n },\n {\n \"1480\": \"What did Eric get at once?\"\n },\n {\n \"1481\": \"Of what?\"\n },\n {\n \"1482\": \"And what was that?\"\n },\n {\n \"1483\": \"Who did Neil also tell?\"\n },\n {\n \"1484\": \"What did Neil finally find?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"1468\",\n \"answer\": \"A Prisoner Of Love\"\n },\n {\n \"question_id\": \"1469\",\n \"answer\": \"The orchard.\"\n },\n {\n \"question_id\": \"1470\",\n \"answer\": \"Nervous.\"\n },\n {\n \"question_id\": \"1471\",\n \"answer\": \"Kilmeny\"\n },\n {\n \"question_id\": \"1472\",\n \"answer\": \"The Gordons.\"\n },\n {\n \"question_id\": \"1473\",\n \"answer\": \"Mrs. Williamson.\"\n },\n {\n \"question_id\": \"1474\",\n \"answer\": \"Master\"\n },\n {\n \"question_id\": \"1475\",\n \"answer\": \"A call from a trustee.\"\n },\n {\n \"question_id\": \"1476\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"1477\",\n \"answer\": \"He stopped short.\"\n },\n {\n \"question_id\": \"1478\",\n \"answer\": \"Neil Gordon.\"\n },\n {\n \"question_id\": \"1479\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"1480\",\n \"answer\": \"Understanding.\"\n },\n {\n \"question_id\": \"1481\",\n \"answer\": \"What must have taken place.\"\n },\n {\n \"question_id\": \"1482\",\n \"answer\": \"Neil had discovered that he and Kilmeny had been meeting in the orchard.\"\n },\n {\n \"question_id\": \"1483\",\n \"answer\": \"Janet and Thomas Gordon.\"\n },\n {\n \"question_id\": \"1484\",\n \"answer\": \"Neil's pent up passion suddenly found vent in a burst of wild words.\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Fanny the fly was hungry. She went to the store. She saw her friend Colin the cat at the store. Colin waved to Fanny. Fanny waved back. At the store, Fanny bought ice cream, fruit, and pasta. Then she went home. She looked in her fridge. In her fridge she saw meatballs, rice, tomato sauce, and garlic. She chose to make a pasta dinner and invite all of her friends over. She invited Colin the cat and Danny the dog. She also invited Freddy the frog and Allen the alligator. Everyone arrived to a beautiful meal made by Fanny. They all ate happily. After dinner, Fanny brought out dessert. She brought out pie, fruit, cupcakes, and ice cream. Everybody ate a cupcake. Danny ate ice cream too. Allen had some pie and fruit as well as the cupcake. Colin had some pie too. Fanny told everyone to come back for dinner again. They all said goodbye and left. Fanny was happy and full. She went to bed smiling to herself.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91345\": \"what was fanny?\"\n },\n {\n \"91346\": \"what did she feel?\"\n },\n {\n \"91347\": \"what did she do because of that?\"\n },\n {\n \"91348\": \"who did she wave at?\"\n },\n {\n \"91349\": \"who had pie?\"\n },\n {\n \"91350\": \"who else?\"\n },\n {\n \"91351\": \"how many friends came to fanny's?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"91345\",\n \"answer\": \"a fly\"\n },\n {\n \"question_id\": \"91346\",\n \"answer\": \"hungry\"\n },\n {\n \"question_id\": \"91347\",\n \"answer\": \"She went to the store\"\n },\n {\n \"question_id\": \"91348\",\n \"answer\": \"Colin\"\n },\n {\n \"question_id\": \"91349\",\n \"answer\": \"Allen\"\n },\n {\n \"question_id\": \"91350\",\n \"answer\": \"Colin\"\n },\n {\n \"question_id\": \"91351\",\n \"answer\": \"four\"\n }\n]\n"
}
] |
[
{
"from": "system",
"value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n There are some topics that readers never grow bored with, and the search for a suitable partner is one of them. Pride and Prejudice by Jane Austen, first published in 1813, tells the story of five young women, all of whom are looking for a husband. In order to fully understand the novel, the readers must know that at the time when Jane Austen was writing, if a family was not rich, the daughters needed to marry well in order to live a comfortable, independent life. That is the reason why Mrs Bennet, the mother of the five girls, is so eager to have her daughters married. \n\nThe heroine of the story is Elizabeth Bennet, and as in all good romantic novels, she and Darcy, the man she finally marries, remain separate until the very end of the story. The wealthy Darcy is a proud, unsociable man, and when Elizabeth hears that he has insulted both her and her family, she dislikes him very much. Poor Darcy then falls head over heels in love with Elizabeth, and has to work terribly hard to persuade her to change her mind about him. He succeeds of course, and they live happily ever after. \n\nSet at the turn of the 19th century, the novel is still attractive to modern readers. It has become one of the most popular novels and receives great attention from literary scholars .Modern interest in the book has resulted in a number of dramas and a lot of novels and stories modeling after Austen's memorable characters or themes. To date, the book has sold some 20 million copies worldwide. \n\nJane Austen is rightly famous for her style. Her sentences have a wonderful rhythm , and she makes such clever, true comments about people. It is not surprising that Pride and Prejudice has lasted.\n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47545\": \"When is the setting of the novel?\"\n },\n {\n \"47546\": \"And is it about war?\"\n },\n {\n \"47547\": \"Who was the author?\"\n },\n {\n \"47548\": \"And the title?\"\n },\n {\n \"47549\": \"Date of publication?\"\n },\n {\n \"47550\": \"Who is the male subject of the story?\"\n },\n {\n \"47551\": \"The surname of the family with all the females?\"\n },\n {\n \"47552\": \"How many females in the family excluding the mother?\"\n },\n {\n \"47553\": \"The main daughter of the story is who?\"\n },\n {\n \"47554\": \"How many of this art of fiction have been purchased?\"\n },\n {\n \"47555\": \"Was the man poor?\"\n },\n {\n \"47556\": \"Was it love at first site?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"47545\",\n \"answer\": \"the 19th century,\"\n },\n {\n \"question_id\": \"47546\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47547\",\n \"answer\": \"Jane Austen\"\n },\n {\n \"question_id\": \"47548\",\n \"answer\": \"Pride and Prejudice\"\n },\n {\n \"question_id\": \"47549\",\n \"answer\": \"1813\"\n },\n {\n \"question_id\": \"47550\",\n \"answer\": \"Darcy\"\n },\n {\n \"question_id\": \"47551\",\n \"answer\": \"Bennet\"\n },\n {\n \"question_id\": \"47552\",\n \"answer\": \"Mrs Bennet, the mother of the five girls,\"\n },\n {\n \"question_id\": \"47553\",\n \"answer\": \"Elizabeth Bennet\"\n },\n {\n \"question_id\": \"47554\",\n \"answer\": \"20 million\"\n },\n {\n \"question_id\": \"47555\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"47556\",\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 XII \n\nA chill, gray, somber dawn was breaking when Ellen dragged herself into the cabin and crept under her blankets, there to sleep the sleep of exhaustion. \n\nWhen she awoke the hour appeared to be late afternoon. Sun and sky shone through the sunken and decayed roof of the old cabin. Her uncle, Tad Jorth, lay upon a blanket bed upheld by a crude couch of boughs. The light fell upon his face, pale, lined, cast in a still mold of suffering. He was not dead, for she heard his respiration. \n\nThe floor underneath Ellen's blankets was bare clay. She and Jorth were alone in this cabin. It contained nothing besides their beds and a rank growth of weeds along the decayed lower logs. Half of the cabin had a rude ceiling of rough-hewn boards which formed a kind of loft. This attic extended through to the adjoining cabin, forming the ceiling of the porch-like space between the two structures. There was no partition. A ladder of two aspen saplings, pegged to the logs, and with braces between for steps, led up to the attic. \n\nEllen smelled wood smoke and the odor of frying meat, and she heard the voices of men. She looked out to see that Slater and Somers had joined their party--an addition that might have strengthened it for defense, but did not lend her own situation anything favorable. Somers had always appeared the one best to avoid. \n\nColter espied her and called her to \"Come an' feed your pale face.\" His comrades laughed, not loudly, but guardedly, as if noise was something to avoid. Nevertheless, they awoke Tad Jorth, who began to toss and moan on the bed. \n <</context>\n"
},
{
"from": "human",
"value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14431\": \"Where did Ellen drag herself?\"\n },\n {\n \"14432\": \"Why?\"\n },\n {\n \"14433\": \"how tired was she?\"\n },\n {\n \"14434\": \"Did she get under a blanket?\"\n },\n {\n \"14435\": \"How long did she sleep?\"\n },\n {\n \"14436\": \"What was her uncle's name?\"\n },\n {\n \"14437\": \"Where they alone in this cabin?\"\n },\n {\n \"14438\": \"What did Tad lay on?\"\n },\n {\n \"14439\": \"Was he dead?\"\n },\n {\n \"14440\": \"How did she know?\"\n },\n {\n \"14441\": \"What furniture did they have in the cabin?\"\n },\n {\n \"14442\": \"Was there a partition?\"\n },\n {\n \"14443\": \"Was there a ladder?\"\n },\n {\n \"14444\": \"what was used for steps?\"\n },\n {\n \"14445\": \"Where did it lead?\"\n },\n {\n \"14446\": \"Who did Ellen see join the party?\"\n },\n {\n \"14447\": \"What did she hear to know?\"\n },\n {\n \"14448\": \"How did Somers appear?\"\n },\n {\n \"14449\": \"What did Colter say?\"\n },\n {\n \"14450\": \"Who laughed?\"\n }\n]\n"
},
{
"from": "gpt",
"value": "\n [\n {\n \"question_id\": \"14431\",\n \"answer\": \"into the cabin\"\n },\n {\n \"question_id\": \"14432\",\n \"answer\": \"to sleep\"\n },\n {\n \"question_id\": \"14433\",\n \"answer\": \"exhausted\"\n },\n {\n \"question_id\": \"14434\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14435\",\n \"answer\": \"until late afternoon.\"\n },\n {\n \"question_id\": \"14436\",\n \"answer\": \"Tad Jorth\"\n },\n {\n \"question_id\": \"14437\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14438\",\n \"answer\": \"a blanket bed upheld by a crude couch of boughs\"\n },\n {\n \"question_id\": \"14439\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14440\",\n \"answer\": \"she heard his respiration.\"\n },\n {\n \"question_id\": \"14441\",\n \"answer\": \"beds\"\n },\n {\n \"question_id\": \"14442\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14443\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14444\",\n \"answer\": \"braces\"\n },\n {\n \"question_id\": \"14445\",\n \"answer\": \"the attic.\"\n },\n {\n \"question_id\": \"14446\",\n \"answer\": \"Slater and Somers\"\n },\n {\n \"question_id\": \"14447\",\n \"answer\": \"the voices of men\"\n },\n {\n \"question_id\": \"14448\",\n \"answer\": \"best to avoid.\"\n },\n {\n \"question_id\": \"14449\",\n \"answer\": \"\\\"Come an' feed your pale face.\\\"\"\n },\n {\n \"question_id\": \"14450\",\n \"answer\": \"His comrades\"\n }\n]\n"
}
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.