Split (2)

train · 6.16k rows

conversations listlengths 3 3
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER I. \n\nELMA'S STRANGER. \n\n\n\n\n\nIt was late when Elma reached the station. Her pony had jibbed on the way downhill, and the train was just on the point of moving off as she hurried upon the platform. Old Matthews, the stout and chubby-cheeked station-master, seized her most unceremoniously by the left arm, and bundled her into a carriage. He had known her from a child, so he could venture upon such liberties. \n\n\"Second class, miss? Yes, miss. Here y'are. Look sharp, please. Any more goin' on? All right, Tom! Go ahead there!\" And lifting his left hand, he whistled a shrill signal to the guard to start her. \n\nAs for Elma, somewhat hot in the face with the wild rush for her ticket, and grasping her uncounted change, pence and all, in her little gloved hand, she found herself thrust, hap-hazard, at the very last moment, into the last compartment of the last carriage --alone--with an artist. \n\nNow, you and I, to be sure, most proverbially courteous and intelligent reader, might never have guessed at first sight, from the young man's outer aspect, the nature of his occupation. The gross and clumsy male intellect, which works in accordance with the stupid laws of inductive logic, has a queer habit of requiring something or other, in the way of definite evidence, before it commits itself offhand to the distinct conclusion. But Elma Clifford was a woman; and therefore she knew a more excellent way. HER habit was, rather to look things once fairly and squarely in the face, and then, with the unerring intuition of her sex, to make up her mind about them firmly, at once and for ever. That's one of the many glorious advantages of being born a woman. You don't need to learn in order to know. You know instinctively. And yet our girls want to go to Girton, and train themselves up to be senior wranglers! \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76798\": \"Did Elma almost miss the train?\"\n },\n {\n \"76799\": \"What caused her to be late?\"\n },\n {\n \"76800\": \"Where?\"\n },\n {\n \"76801\": \"Who works at the station?\"\n },\n {\n \"76802\": \"How long had he known her?\"\n },\n {\n \"76803\": \"How did he grab her?\"\n },\n {\n \"76804\": \"Did he make a big show of it?\"\n },\n {\n \"76805\": \"Where did he put her?\"\n },\n {\n \"76806\": \"of what?\"\n },\n {\n \"76807\": \"Did she already pay?\"\n },\n {\n \"76808\": \"What was she doing when he grabbed her?\"\n },\n {\n \"76809\": \"What class is she seated in?\"\n },\n {\n \"76810\": \"Is she the last to board?\"\n },\n {\n \"76811\": \"Is she seated by herself?\"\n },\n {\n \"76812\": \"who is with her?\"\n },\n {\n \"76813\": \"Does he look like one/\"\n },\n {\n \"76814\": \"Did she know that he was?\"\n },\n {\n \"76815\": \"What does Matthews face look like?\"\n },\n {\n \"76816\": \"How does he let them know to start moving the train?\"\n },\n {\n \"76817\": \"To who?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76798\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76799\",\n \"answer\": \"Her pony had jibbed\"\n },\n {\n \"question_id\": \"76800\",\n \"answer\": \"on the way downhill\"\n },\n {\n \"question_id\": \"76801\",\n \"answer\": \"Old Matthews\"\n },\n {\n \"question_id\": \"76802\",\n \"answer\": \"since she was a child\"\n },\n {\n \"question_id\": \"76803\",\n \"answer\": \"by the left arm\"\n },\n {\n \"question_id\": \"76804\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76805\",\n \"answer\": \"last compartment\"\n },\n {\n \"question_id\": \"76806\",\n \"answer\": \"the last carriage\"\n },\n {\n \"question_id\": \"76807\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76808\",\n \"answer\": \"received her change\"\n },\n {\n \"question_id\": \"76809\",\n \"answer\": \"Second\"\n },\n {\n \"question_id\": \"76810\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76811\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76812\",\n \"answer\": \"an artist\"\n },\n {\n \"question_id\": \"76813\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76814\",\n \"answer\": \"She made up her mind\"\n },\n {\n \"question_id\": \"76815\",\n \"answer\": \"stout and chubby-cheeked\"\n },\n {\n \"question_id\": \"76816\",\n \"answer\": \"he whistled\"\n },\n {\n \"question_id\": \"76817\",\n \"answer\": \"the guard\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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)Things have been messy between singer Chris Brown and his now ex-girlfriend Karrueche Tran, and it looks to be about to get messier. \n\nOprah Winfrey's network, OWN, posted a teaser Tuesday for Tran's interview with Iyanla Vanzant. The inspirational speaker and host of \"Iyanla: Fix My Life\" fires off at Tran: \"He betrayed you. He lied to you. He did it all publicly,\" before asking, \"How did you find out that he had a baby by another woman?\" \n\nBrown has been the subject of rumors that he fathered a daughter with another woman while in a relationship with Tran. He has neither confirmed nor denied the stories, but the story heated up when Tran tweeted on March 4, \"Listen. One can only take so much. The best of luck to Chris and his family. No baby drama for me.\" \n\nThe tweet was later deleted. \n\nBrown and Tran have had an on-again, off-again relationship for years. In 2012, Brown posted a video on Twitter questioning whether it was possible to be in love with two people. At the time, the singer had broken up with Tran after once again growing close to singer Rihanna, whom he assaulted while they were dating in 2009. \n\n\"I love Karrueche very much but I don't want to see her hurt over my friendship with Rihanna,\" Brown said in the video. \"I'd rather be single allowing us to both be happy in our lives.\" \n\nBrown and Rihanna eventually reunited but then broke up again, and he and Tran, who bills herself as a model and entrepreneur, resumed seeing each other. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"6729\": \"Who used to date?\"\n },\n {\n \"6730\": \"What network interviewed Tran?\"\n },\n {\n \"6731\": \"Who conducted it?\"\n },\n {\n \"6732\": \"What show does that person have?\"\n },\n {\n \"6733\": \"When was the teaser put up?\"\n },\n {\n \"6734\": \"Who did Brown used to date?\"\n },\n {\n \"6735\": \"And before that?\"\n },\n {\n \"6736\": \"Did he treat her well?\"\n },\n {\n \"6737\": \"When did he hit her?\"\n },\n {\n \"6738\": \"What is Tran's occupation?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"6729\",\n \"answer\": \"Chris Brown and his now ex-girlfriend Karrueche Tran\"\n },\n {\n \"question_id\": \"6730\",\n \"answer\": \"OWN\"\n },\n {\n \"question_id\": \"6731\",\n \"answer\": \"Iyanla Vanzant\"\n },\n {\n \"question_id\": \"6732\",\n \"answer\": \"Iyanla: Fix My Life\"\n },\n {\n \"question_id\": \"6733\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"6734\",\n \"answer\": \"Karrueche Tran\"\n },\n {\n \"question_id\": \"6735\",\n \"answer\": \"Rihanna\"\n },\n {\n \"question_id\": \"6736\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"6737\",\n \"answer\": \"2009\"\n },\n {\n \"question_id\": \"6738\",\n \"answer\": \"model\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tibet (i/tᵻˈbɛt/; Wylie: Bod, pronounced [pʰø̀ʔ]; Chinese: 西藏; pinyin: Xīzàng) is a region on the Tibetan Plateau in Asia. It is the traditional homeland of the Tibetan people as well as some other ethnic groups such as Monpa, Qiang and Lhoba peoples and is now also inhabited by considerable numbers of Han Chinese and Hui people. Tibet is the highest region on Earth, with an average elevation of 4,900 metres (16,000 ft). The highest elevation in Tibet is Mount Everest, earth's highest mountain rising 8,848 m (29,029 ft) above sea level. \n\nThe Tibetan Empire emerged in the 7th century, but with the fall of the empire the region soon divided into a variety of territories. The bulk of western and central Tibet (Ü-Tsang) was often at least nominally unified under a series of Tibetan governments in Lhasa, Shigatse, or nearby locations; these governments were at various times under Mongol and Chinese overlordship. The eastern regions of Kham and Amdo often maintained a more decentralized indigenous political structure, being divided among a number of small principalities and tribal groups, while also often falling more directly under Chinese rule after the Battle of Chamdo; most of this area was eventually incorporated into the Chinese provinces of Sichuan and Qinghai. The current borders of Tibet were generally established in the 18th century.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34335\": \"When were the current borders of Tibet established?\"\n },\n {\n \"34336\": \"What is the average elevation of Tibet?\"\n },\n {\n \"34337\": \"What is earth's highest mountain?\"\n },\n {\n \"34338\": \"When did the Tibetan Empire emerge?\"\n },\n {\n \"34339\": \"Where is the region of Tibet located?\"\n },\n {\n \"34340\": \"What plateau is it on?\"\n },\n {\n \"34341\": \"Besides the Tibetan people what other groups are there in Tibet?\"\n },\n {\n \"34342\": \"What is the highest region on earth?\"\n },\n {\n \"34343\": \"What eastern regions maintained a more decentralized structure?\"\n },\n {\n \"34344\": \"What happened to the Tibetan Empire with it's fall?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34335\",\n \"answer\": \"18th century\"\n },\n {\n \"question_id\": \"34336\",\n \"answer\": \"4,900 metres\"\n },\n {\n \"question_id\": \"34337\",\n \"answer\": \"Mount Everest\"\n },\n {\n \"question_id\": \"34338\",\n \"answer\": \"7th century\"\n },\n {\n \"question_id\": \"34339\",\n \"answer\": \"8,848 m (29,029 ft) above sea leve\"\n },\n {\n \"question_id\": \"34340\",\n \"answer\": \"Asia\"\n },\n {\n \"question_id\": \"34341\",\n \"answer\": \"Monpa, Qiang and Lhoba\"\n },\n {\n \"question_id\": \"34342\",\n \"answer\": \"Tibet\"\n },\n {\n \"question_id\": \"34343\",\n \"answer\": \"f Kham and Amdo\"\n },\n {\n \"question_id\": \"34344\",\n \"answer\": \"fell under Chinese rule\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nThe rancher thought it best to wait till after the round-up before he turned over the foremanship to his son. This was wise, but Jack did not see it that way. He showed that his old, intolerant spirit had, if anything, grown during his absence. Belllounds patiently argued with him, explaining what certainly should have been clear to a young man brought up in Colorado. The fall round-up was the most important time of the year, and during the strenuous drive the appointed foreman should have absolute control. Jack gave in finally with a bad grace. \n\nIt was unfortunate that he went directly from his father's presence out to the corrals. Some of the cowboys who had ridden all the day before and stood guard all night had just come in. They were begrimed with dust, weary, and sleepy-eyed. \n\n\"This hyar outfit won't see my tracks no more,\" said one, disgustedly. \"I never kicked on doin' two men's work. But when it comes to rustlin' day and night, all the time, I'm a-goin' to pass.\" \n\n\"Turn in, boys, and sleep till we get back with the chuck-wagon,\" said Wilson Moore. \"We'll clean up that bunch to-day.\" \n\n\"Ain't you tired, Wils?\" queried Bludsoe, a squat, bow-legged cowpuncher who appeared to be crippled or very lame. \n\n\"Me? Naw!\" grunted Moore, derisively. \"Blud, you sure ask fool questions.... Why, you--mahogany-colored, stump-legged, biped of a cowpuncher, I've had three hours' sleep in four nights!\" \n\n\"What's a biped?\" asked Bludsoe, dubiously. \n\nNobody enlightened him. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19341\": \"Were the cowboys dirty when they arrived?\"\n },\n {\n \"19342\": \"How did they feel?\"\n },\n {\n \"19343\": \"What was Moore's first name?\"\n },\n {\n \"19344\": \"What did he tell the guys to do?\"\n },\n {\n \"19345\": \"Until when?\"\n },\n {\n \"19346\": \"With what?\"\n },\n {\n \"19347\": \"Who asked Wilson if he was tired?\"\n },\n {\n \"19348\": \"What did he look like he was?\"\n },\n {\n \"19349\": \"Was he bow-legged?\"\n },\n {\n \"19350\": \"What sort of questions did Moore say Bludsoe asked?\"\n },\n {\n \"19351\": \"How many hours of sleep did Moore claimed to have gotten?\"\n },\n {\n \"19352\": \"In how many nights?\"\n },\n {\n \"19353\": \"What word did Bludsoe asked to be defined?\"\n },\n {\n \"19354\": \"After what did the rancher want to wait before turning over the foremanship?\"\n },\n {\n \"19355\": \"To whom was he turning it over to?\"\n },\n {\n \"19356\": \"What kind of spirit did Jack have?\"\n },\n {\n \"19357\": \"What had it done during his absence?\"\n },\n {\n \"19358\": \"Who has arguments with him?\"\n },\n {\n \"19359\": \"What was the most important time of the year?\"\n },\n {\n \"19360\": \"How did Jack give in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19341\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19342\",\n \"answer\": \"Weary and sleepy-eyed.\"\n },\n {\n \"question_id\": \"19343\",\n \"answer\": \"Wilson\"\n },\n {\n \"question_id\": \"19344\",\n \"answer\": \"Turn in and sleep\"\n },\n {\n \"question_id\": \"19345\",\n \"answer\": \"Until they got back\"\n },\n {\n \"question_id\": \"19346\",\n \"answer\": \"The chuck-wagon\"\n },\n {\n \"question_id\": \"19347\",\n \"answer\": \"Bludsoe\"\n },\n {\n \"question_id\": \"19348\",\n \"answer\": \"Crippled or very lame\"\n },\n {\n \"question_id\": \"19349\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"19350\",\n \"answer\": \"Fool questions\"\n },\n {\n \"question_id\": \"19351\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"19352\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"19353\",\n \"answer\": \"Biped\"\n },\n {\n \"question_id\": \"19354\",\n \"answer\": \"The round-up\"\n },\n {\n \"question_id\": \"19355\",\n \"answer\": \"His son\"\n },\n {\n \"question_id\": \"19356\",\n \"answer\": \"Old and intolerant\"\n },\n {\n \"question_id\": \"19357\",\n \"answer\": \"Grown\"\n },\n {\n \"question_id\": \"19358\",\n \"answer\": \"Belllounds\"\n },\n {\n \"question_id\": \"19359\",\n \"answer\": \"The fall round-up\"\n },\n {\n \"question_id\": \"19360\",\n \"answer\": \"With a bad grace.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n With the beautiful music, the first lesson of the new term in 2014 began at 8:05 on the evening of September 1st, 2014. The program includes four parts: be nice to your parents, be polite to others, love others and be self-improved. It really makes a great difference to the students and the parents' ideas. Family education plays an important role to the children. The \"king\" of fairy tales Zheng Yuanjie told us the story between his father, his son and him. His father helped him fill the pen in order to let Zheng focus on writing. His father set us a good example on how to be a nice father. Zheng is nice to his father, too. He bought a TV for his father and his son learnt from him. The moving story really touched my heart. It made me know how important it is to teach by precept and example role. Joey Yung told us that how her mother taught her to be a polite girl. We should think about others when we do something we like. We need try to be popular people. She reminded us of good manners in our daily life. Qin Yong, a famous rock star, gave up his career and put all his heart in educating his sick son. Though he felt too tired, he never quitted. It's his duty to bring his son up. When he found that his son made great progress, he felt very happy. The orphans' life made us deeply moved. From their father, we know that if we encourage a person, he will have self-improvement. From this program, we know that we should love the people around us. Then, our world will be better and better.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76014\": \"What time did the lesson start?\"\n },\n {\n \"76015\": \"On what date?\"\n },\n {\n \"76016\": \"How many sections are there?\"\n },\n {\n \"76017\": \"Is hating others one of them?\"\n },\n {\n \"76018\": \"What nickname does Zheng Yuanjie have?\"\n },\n {\n \"76019\": \"How many characters are in his tale?\"\n },\n {\n \"76020\": \"Who are they?\"\n },\n {\n \"76021\": \"What did his dad do for him?\"\n },\n {\n \"76022\": \"Why?\"\n },\n {\n \"76023\": \"Did he set a bad example?\"\n },\n {\n \"76024\": \"What did Zheng purchase?\"\n },\n {\n \"76025\": \"Did he keep it for himself?\"\n },\n {\n \"76026\": \"Are they mean to each other?\"\n },\n {\n \"76027\": \"Who did Joey Yung learn from?\"\n },\n {\n \"76028\": \"What did she teach her?\"\n },\n {\n \"76029\": \"What is Qin Yong's occupation?\"\n },\n {\n \"76030\": \"Does he still do that?\"\n },\n {\n \"76031\": \"Why not?\"\n },\n {\n \"76032\": \"Did he give up?\"\n },\n {\n \"76033\": \"How did he feel later?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76014\",\n \"answer\": \"8:05\"\n },\n {\n \"question_id\": \"76015\",\n \"answer\": \"September 1st, 2014\"\n },\n {\n \"question_id\": \"76016\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"76017\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76018\",\n \"answer\": \"The \\\"king\\\" of fairy tales\"\n },\n {\n \"question_id\": \"76019\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"76020\",\n \"answer\": \"his father, his son and him.\"\n },\n {\n \"question_id\": \"76021\",\n \"answer\": \"helped him fill the pen\"\n },\n {\n \"question_id\": \"76022\",\n \"answer\": \"in order to let him focus on writing\"\n },\n {\n \"question_id\": \"76023\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76024\",\n \"answer\": \"He bought a TV\"\n },\n {\n \"question_id\": \"76025\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76026\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76027\",\n \"answer\": \"her mother\"\n },\n {\n \"question_id\": \"76028\",\n \"answer\": \"to be a polite girl.\"\n },\n {\n \"question_id\": \"76029\",\n \"answer\": \"rock star\"\n },\n {\n \"question_id\": \"76030\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76031\",\n \"answer\": \"he gave up his career and put all his heart in educating his sick son\"\n },\n {\n \"question_id\": \"76032\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"76033\",\n \"answer\": \"he felt very happy\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Z notation is a formal specification language used for describing and modelling computing systems. It is targeted at the clear specification of computer programs and computer-based systems in general. \n\nIn 1974, Jean-Raymond Abrial published \"Data Semantics\". He used a notation that would later be taught in the University of Grenoble until the end of the 1980s. While at EDF (Électricité de France), Abrial wrote internal notes on Z. The Z notation is used in the 1980 book \"Méthodes de programmation\". \n\nZ was originally proposed by Abrial in 1977 with the help of Steve Schuman and Bertrand Meyer. It was developed further at the Programming Research Group at Oxford University, where Abrial worked in the early 1980s, having arrived at Oxford in September 1979. \n\nAbrial has said that Z is so named \"Because it is the ultimate language!\" although the name \"Zermelo\" is also associated with the Z notation through its use of Zermelo–Fraenkel set theory. \n\nZ is based on the standard mathematical notation used in axiomatic set theory, lambda calculus, and first-order predicate logic. All expressions in Z notation are typed, thereby avoiding some of the paradoxes of naive set theory. Z contains a standardized catalogue (called the \"mathematical toolkit\") of commonly used mathematical functions and predicates, defined using Z itself.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49878\": \"What computer system is the article about?\"\n },\n {\n \"49879\": \"What does it target?\"\n },\n {\n \"49880\": \"Who created it?\"\n },\n {\n \"49881\": \"What did he publish in 1974?\"\n },\n {\n \"49882\": \"Where was the notation taught?\"\n },\n {\n \"49883\": \"What book uses this notation?\"\n },\n {\n \"49884\": \"When was the book published?\"\n },\n {\n \"49885\": \"Who helped him create it?\"\n },\n {\n \"49886\": \"WSho else/\"\n },\n {\n \"49887\": \"Where was it developed?\"\n },\n {\n \"49888\": \"Why does it have the name it does?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49878\",\n \"answer\": \"Z notation\"\n },\n {\n \"question_id\": \"49879\",\n \"answer\": \"the clear specification of computer programs\"\n },\n {\n \"question_id\": \"49880\",\n \"answer\": \"Jean-Raymond Abrial\"\n },\n {\n \"question_id\": \"49881\",\n \"answer\": \"Data Semantics\"\n },\n {\n \"question_id\": \"49882\",\n \"answer\": \"University of Grenoble\"\n },\n {\n \"question_id\": \"49883\",\n \"answer\": \"M\\u00e9thodes de programmation\"\n },\n {\n \"question_id\": \"49884\",\n \"answer\": \"1980\"\n },\n {\n \"question_id\": \"49885\",\n \"answer\": \"Steve Schuman\"\n },\n {\n \"question_id\": \"49886\",\n \"answer\": \"Bertrand Meyer\"\n },\n {\n \"question_id\": \"49887\",\n \"answer\": \"Oxford University\"\n },\n {\n \"question_id\": \"49888\",\n \"answer\": \"its use of Zermelo\\u2013Fraenkel set theory\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Wednesday, October 29, 2008. \n\nThe prefix = st1 /United Statesfederal government had two young men in the state ofTennesseearrested on October 22 on unknown charges. \n\nIn court documents published on Monday, it came to light that the men had discussed attacking an African - American school and killing 14 of them. \n\nAnother crime was about planning to murder Presidential candidate Barack Obama. According to their affidavits , the suspects' \"final act of violence\" would be when they attacked Obama while wearing white suits and top hats and driving \"their vehicle as fast as they could toward Obama shooting at him from the windows.\" \n\nThe two suspects are Paul Schlesselman, 18, of West Helena, Arkansas and Daniel Cowart, 20, of Bells, Tennessee. According to the court papers, they met last month over the Internet through a friend. Schlesselman and Cowart are believed to share \"very strong views\" about White Power. \n\nSchlesselman listed \"being racist\" as his occupation on his MySpace page. He further wrote: \"I'm white. I'm proud. I get angry. I like guns.\" \n\nCowart also had a MySpace page on which photos of guns were presented under a heading of \"My Guns\". On his page he wrote, \"Better to die quick fighting on your feet than to live forever begging on your knees.\" \n\nSome have questioned the pair's ability to carry out the charged plan, but authorities have been very concerned about Obama as the first black presidential candidate from a major party. \n\n\"We honestly don't know if they had the ability or the skill to carry out the kind of plan that they talked about.\" said Malcolm Wiley, of the United States Secret Service in an interview with The New York Times. \"But we take any threat seriously no matter how big or how small it is.\" \n\nCowart and Schlesselman are scheduled to appear before a judge on Thursday.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89954\": \"When did the U.S. charge two men in Tennessee?\"\n },\n {\n \"89955\": \"What date did it charge them on?\"\n },\n {\n \"89956\": \"Is it known what they were accused of?\"\n },\n {\n \"89957\": \"What day were the records related to this case released?\"\n },\n {\n \"89958\": \"What did the individuals say they might do?\"\n },\n {\n \"89959\": \"What type of people attended that institute?\"\n },\n {\n \"89960\": \"What else did the individuals discuss plans to do?\"\n },\n {\n \"89961\": \"What did they intend to wear when they did it?\"\n },\n {\n \"89962\": \"What is the younger accused's name?\"\n },\n {\n \"89963\": \"And the other accused's?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89954\",\n \"answer\": \"2008\"\n },\n {\n \"question_id\": \"89955\",\n \"answer\": \"The 22nd\"\n },\n {\n \"question_id\": \"89956\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"89957\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"89958\",\n \"answer\": \"Attack a school\"\n },\n {\n \"question_id\": \"89959\",\n \"answer\": \"Americans\"\n },\n {\n \"question_id\": \"89960\",\n \"answer\": \"Assassinate the President.\"\n },\n {\n \"question_id\": \"89961\",\n \"answer\": \"White suits\"\n },\n {\n \"question_id\": \"89962\",\n \"answer\": \"Paul Schlesselman, 18, of West Helena,\"\n },\n {\n \"question_id\": \"89963\",\n \"answer\": \"Daniel Cowart\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nAs soon as dinner was over, Elizabeth went up to her own room, and was followed in a few moments by Anne, who found her putting on her bonnet and cloak. 'Can you be going out in such weather as this?' exclaimed she. \n\n'Yes,' said Elizabeth; 'I must \n\n\"Let content with my fortunes fit, Though the rain it raineth every day.\"' \n\n'But what are the fortunes which oblige you to go out?' said Anne. \n\n'The fortunes of an old woman to whom Kate or I read every Friday,' said Elizabeth, 'and the fortunes of various young school-children, who must be prepared for Papa or Mr. Walker to catechize in Church on Sunday.' \n\n'Why do not you send Kate or Helen, instead of murdering yourself in the wet?' said Anne. \n\n'Miss Kitty is three inches deep in the mysteries of a spencer, (I do not mean Edmund,)' said Elizabeth, 'and it will not be out of her head these three days, at least not till she has made Mamma's old black satin gown into one after Harriet's pattern; I heard her asking for it as I came up-stairs.' \n\n'And would not Helen go?' said Anne; 'she does not catch cold as easily as you do.' \n\n'Helen has contrived, somehow or other,' said Elizabeth, 'to know no more about the school-children than if they were so many Esquimaux; besides, anyone with any experience of Helen's ways, had rather walk ninety miles in the rain, than be at the pains of routing her out of the corner of the sofa to do anything useful.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51364\": \"what was the weather like\"\n },\n {\n \"51365\": \"who is deep in the mysteries of spencer\"\n },\n {\n \"51366\": \"what happened after dinner\"\n },\n {\n \"51367\": \"who followed\"\n },\n {\n \"51368\": \"how long had it been raining\"\n },\n {\n \"51369\": \"who did kate and anne read to\"\n },\n {\n \"51370\": \"who was going out in the weather\"\n },\n {\n \"51371\": \"who did not catch cold easily\"\n },\n {\n \"51372\": \"why was elizabeth going out\"\n },\n {\n \"51373\": \"did she have a bonnet\"\n },\n {\n \"51374\": \"what about a cloak\"\n },\n {\n \"51375\": \"who was elizabeth speaking to\"\n },\n {\n \"51376\": \"who did she suggest go instead of Elizabeth\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51364\",\n \"answer\": \"rainy\"\n },\n {\n \"question_id\": \"51365\",\n \"answer\": \"Miss Kitty\"\n },\n {\n \"question_id\": \"51366\",\n \"answer\": \"Elizabeth went to her room\"\n },\n {\n \"question_id\": \"51367\",\n \"answer\": \"Anne\"\n },\n {\n \"question_id\": \"51368\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"51369\",\n \"answer\": \"an old woman\"\n },\n {\n \"question_id\": \"51370\",\n \"answer\": \"Elizabeth\"\n },\n {\n \"question_id\": \"51371\",\n \"answer\": \"Helen\"\n },\n {\n \"question_id\": \"51372\",\n \"answer\": \"to read to the woman\"\n },\n {\n \"question_id\": \"51373\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"51374\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"51375\",\n \"answer\": \"Anne\"\n },\n {\n \"question_id\": \"51376\",\n \"answer\": \"Kate or Helen\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 For decades, prosecutors say, Johann (John) Breyer had successfully eluded a dark past. \n\nIn his twilight years, the 89-year-old Philadelphia man was forced to defend himself against accusations that he was more than a mere perimeter guard at the notorious Auschwitz camp, where more than 1 million people, most of them Jews, were killed during World War II. He maintained that he never persecuted anyone. \n\nIn 2003, a U.S. court ruled that he was not responsible for joining a Nazi unit because he was only 17 years old at the time. \n\nBut new evidence has emerged, U.S. and German prosecutors say, that shows Breyer had to have been involved in the crimes that occurred in that place. \n\nBreyer, who has lived in the United States since the 1950s, is facing possible extradition to Germany following his arrest Tuesday in Philadelphia, authorities said. \n\nFederal Magistrate Judge Timothy R. Rice on Wednesday ordered him held without bail, pending an extradition hearing in late August. \n\n\"Extradition is traditionally a very long and complicated process,\" CNN legal analyst Jeffrey Toobin said. \"It's always possible to fight extradition. It just often takes a long time.\" \n\nGerman authorities alleged that Breyer served in the Nazi \"Death's Head Guard Battalion\" from 1943 to 1945 at the Auschwitz II-Birkenau concentration camp and at another location, according to court papers. \n\nGerman authorities have charged Breyer with complicity in the murder of more than 216,000 European Jews from Hungary, Germany, and Czechoslovakia, who were forcibly deported to Auschwitz, in southern Poland, on 158 trains between May and October 1944, according to court documents filed in the U.S. District Court for the Eastern District of Pennsylvania. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33248\": \"Who is the subject of this article?\"\n },\n {\n \"33249\": \"How old is he?\"\n },\n {\n \"33250\": \"Where did he live?\"\n },\n {\n \"33251\": \"What was he defending himself from?\"\n },\n {\n \"33252\": \"How many people died there?\"\n },\n {\n \"33253\": \"When?\"\n },\n {\n \"33254\": \"What does he say about it?\"\n },\n {\n \"33255\": \"How old was he when he joined?\"\n },\n {\n \"33256\": \"What did the court rule regarding this?\"\n },\n {\n \"33257\": \"When?\"\n },\n {\n \"33258\": \"What shows that he had to have been part of it?\"\n },\n {\n \"33259\": \"According to who?\"\n },\n {\n \"33260\": \"Could he be sent out of the country?\"\n },\n {\n \"33261\": \"To where?\"\n },\n {\n \"33262\": \"What do they say he served in?\"\n },\n {\n \"33263\": \"During what time period?\"\n },\n {\n \"33264\": \"Where?\"\n },\n {\n \"33265\": \"How many people is he being charged with being involved in the deaths of?\"\n },\n {\n \"33266\": \"Where were they from?\"\n },\n {\n \"33267\": \"Where did they go?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33248\",\n \"answer\": \"Johann (John) Breyer\"\n },\n {\n \"question_id\": \"33249\",\n \"answer\": \"89\"\n },\n {\n \"question_id\": \"33250\",\n \"answer\": \"Philadelphia\"\n },\n {\n \"question_id\": \"33251\",\n \"answer\": \"accusations that he was more than just a guard at Auschwitz\"\n },\n {\n \"question_id\": \"33252\",\n \"answer\": \"more than 1 million\"\n },\n {\n \"question_id\": \"33253\",\n \"answer\": \"during World War II\"\n },\n {\n \"question_id\": \"33254\",\n \"answer\": \"that he never persecuted anyone.\"\n },\n {\n \"question_id\": \"33255\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"33256\",\n \"answer\": \"that he was not responsible for joining a Nazi unit because he was only 17 years old at the time\"\n },\n {\n \"question_id\": \"33257\",\n \"answer\": \"In 2003\"\n },\n {\n \"question_id\": \"33258\",\n \"answer\": \"new evidence\"\n },\n {\n \"question_id\": \"33259\",\n \"answer\": \"U.S. and German prosecutors\"\n },\n {\n \"question_id\": \"33260\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"33261\",\n \"answer\": \"to Germany\"\n },\n {\n \"question_id\": \"33262\",\n \"answer\": \"the Nazi \\\"Death's Head Guard Battalion\\\"\"\n },\n {\n \"question_id\": \"33263\",\n \"answer\": \"from 1943 to 1945\"\n },\n {\n \"question_id\": \"33264\",\n \"answer\": \"at the Auschwitz II-Birkenau concentration camp and at another location\"\n },\n {\n \"question_id\": \"33265\",\n \"answer\": \"more than 216,000\"\n },\n {\n \"question_id\": \"33266\",\n \"answer\": \"Hungary, Germany, and Czechoslovakia\"\n },\n {\n \"question_id\": \"33267\",\n \"answer\": \"Auschwitz, in southern Poland\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 is a twenty-year-old young man. Two years ago, when he finished middle school, he found work in a shop. Usually he works until ten o'clock in the evening. He is very tired when he gets home. After a quick supper he goes to bed and soon falls asleep. His grandma who lives downstairs is satisfied with him. One day, on his way home, he met Mary. They were both happy. He asked the girl to his house, she agreed happily. He bought some fruit and drinks for her. And they talked about their school, teachers, classmates and their future . They talked for a long time. \"Have a look at your watch, please,\" said the girl. \"What time is it now?\" \"Sorry, something is wrong with my watch,\" said Jack. \"Where's yours?\" \"I left it at home.\" Jack thought for a moment and found a way. He began to stamp his foot on the floor, \"Bang! Bang! Bang!\" The sound woke his grandma up. The old woman shouted downstairs, \"It's twelve o'clock in the night, Jack. Why are you still jumping upstairs?\" ,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76505\": \"What is the time?\"\n },\n {\n \"76506\": \"Was someone wakened?\"\n },\n {\n \"76507\": \"Who?\"\n },\n {\n \"76508\": \"Who made her wake?\"\n },\n {\n \"76509\": \"How old is he?\"\n },\n {\n \"76510\": \"Who did he meet?\"\n },\n {\n \"76511\": \"What did he serve her?\"\n },\n {\n \"76512\": \"Did he complete school?\"\n },\n {\n \"76513\": \"What type?\"\n },\n {\n \"76514\": \"Is he employed?\"\n },\n {\n \"76515\": \"Where?\"\n },\n {\n \"76516\": \"What was his friend missing?\"\n },\n {\n \"76517\": \"Where was it?\"\n },\n {\n \"76518\": \"Did they have much to discuss?\"\n },\n {\n \"76519\": \"What?\"\n },\n {\n \"76520\": \"What time does he get off?\"\n },\n {\n \"76521\": \"Am or pm?\"\n },\n {\n \"76522\": \"What happens after dinner?\"\n },\n {\n \"76523\": \"And after he eats?\"\n },\n {\n \"76524\": \"Who does he live with?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76505\",\n \"answer\": \"twelve o clock at night\"\n },\n {\n \"question_id\": \"76506\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76507\",\n \"answer\": \"grandma\"\n },\n {\n \"question_id\": \"76508\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"76509\",\n \"answer\": \"20\"\n },\n {\n \"question_id\": \"76510\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"76511\",\n \"answer\": \"fruit and drinks\"\n },\n {\n \"question_id\": \"76512\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76513\",\n \"answer\": \"middle school\"\n },\n {\n \"question_id\": \"76514\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76515\",\n \"answer\": \"in a shop\"\n },\n {\n \"question_id\": \"76516\",\n \"answer\": \"her watch\"\n },\n {\n \"question_id\": \"76517\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"76518\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76519\",\n \"answer\": \"school, teachers, classmates, future\"\n },\n {\n \"question_id\": \"76520\",\n \"answer\": \"ten o'clock\"\n },\n {\n \"question_id\": \"76521\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"76522\",\n \"answer\": \"has a quick supper\"\n },\n {\n \"question_id\": \"76523\",\n \"answer\": \"falls asleep\"\n },\n {\n \"question_id\": \"76524\",\n \"answer\": \"His grandma\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Buck did not read the newspapers,or he would have known that trouble was coming,not only for himself,but for every big dog,strong of muscle and with long,warm hair in California.Men had found gold in the Yukon,and these men wanted big,strong dogs to work in the cold and snow of the north. \n\nBuck lived at a big house in the sunkissed Santa Clara valley.Judge Miller's place,it was called.There were large gardens and fields of fruit trees around the house,and a river nearby.In a big place like this,of course,there were many dogs.There were house dogs and farm dogs,but they were not important.Over this great land Buck ruled.Here he was born and here he had lived the four years of his life.He was not so large--he weighed only one hundred and forty pounds.But he had saved himself by not becoming a mere housedog.Hunting and outdoor delights had kept down the fat and hardened his muscles.He went swimming with Judge Miller's sons,and walking with his daughters.He carried the grandchildren on his back,and he sat at Judge Miller's feet in front of the warm library fire in winter.During the four years,he had a fine pride in himself which came of good living and universal respect.He was king of Judge Miller's place. \n\nBut this was 1897,and Buck did not know that men and dogs were hurrying to northwest Canada to look for gold.And he did not know that Manuel,one of the gardener's helpers,was in bad need of money for his hobby of gambling and for his large family.One day,the Judge was at a meeting and the boys were busy organizing an athletic club.No one saw Manuel and Buck go off on what Buck imagined was merely an evening walk.Only one man saw them arrive at the railway station.This man talked to Manuel,and gave him some money.Then Manuel tied a piece of rope around Buck's neck. \n\nBuck had accepted the rope with quiet dignity .He had learned to trust in men he knew and to give them credit.But when the ends of the rope were placed in the stranger's hands,Buck roared,and was surprised when the rope tightened around his neck,shutting off his breath.In extreme anger,he jumped at the man.The man caught him and suddenly Buck was thrown over on his back.Then the rope tightened cruelly while Buck struggled,his tongue out of his mouth.Never in all his life had he been so badly treated.Never in all his life had he been so angry.For a few moments he was unable to move,and it was easy for the two men to put him into the train. \n\nWhen Buck woke up,the train was still moving.The man was sitting and watching him,but Buck was too quick for him and he bit the man's hand hard.Then the rope was pulled again and Buck had to let go. \n\nThat evening,the man took Buck to the back room of a bar in San Francisco.The barman looked at the man's hand and trousers covered in blood. \n\n\"How much are they paying you for this?\"he asked. \n\n\"Only get fifty dollars.\" \n\n\"And the man who stole him--how much did he get?\"asked the barman. \n\n\"A hundred.He wouldn't take less.\" \n\n\"That makes a hundred and fifty.It's a good price for a dog like him.\" \n\nBuck spent that night in a cagelike box.He could not understand what it all meant.What did they want with him,these strange men?And where were Judge Miller and the boys? \n\nThe next day Buck was carried in the box to the railway station and put on a train to the north.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"45488\": \"What type of building does Buck live in?\"\n },\n {\n \"45489\": \"What was it called?\"\n },\n {\n \"45490\": \"And where was it?\"\n },\n {\n \"45491\": \"What year was it?\"\n },\n {\n \"45492\": \"Was he a big person?\"\n },\n {\n \"45493\": \"How much did he weigh?\"\n },\n {\n \"45494\": \"What was happening up north during that year?\"\n },\n {\n \"45495\": \"What was given to the stranger?\"\n },\n {\n \"45496\": \"Was Buck ok with this?\"\n },\n {\n \"45497\": \"How did he react?\"\n },\n {\n \"45498\": \"Could he breathe?\"\n },\n {\n \"45499\": \"Where was he moved to?\"\n },\n {\n \"45500\": \"So he survived?\"\n },\n {\n \"45501\": \"How did he get to SF?\"\n },\n {\n \"45502\": \"How much was he sold for?\"\n },\n {\n \"45503\": \"Where did he sleep?\"\n },\n {\n \"45504\": \"What was on the man's pants?\"\n },\n {\n \"45505\": \"What is Buck's last name?\"\n },\n {\n \"45506\": \"What activities did he like to do back home?\"\n },\n {\n \"45507\": \"What was on the trees?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"45488\",\n \"answer\": \"big house\"\n },\n {\n \"question_id\": \"45489\",\n \"answer\": \"Judge Miller's place\"\n },\n {\n \"question_id\": \"45490\",\n \"answer\": \"Santa Clara valley\"\n },\n {\n \"question_id\": \"45491\",\n \"answer\": \"1897\"\n },\n {\n \"question_id\": \"45492\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45493\",\n \"answer\": \"one hundred and forty pounds\"\n },\n {\n \"question_id\": \"45494\",\n \"answer\": \"Men had found gold\"\n },\n {\n \"question_id\": \"45495\",\n \"answer\": \"the ends of the rope\"\n },\n {\n \"question_id\": \"45496\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45497\",\n \"answer\": \"roared,and was surprised when the rope tightened around his neck\"\n },\n {\n \"question_id\": \"45498\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"45499\",\n \"answer\": \"San Francisco\"\n },\n {\n \"question_id\": \"45500\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45501\",\n \"answer\": \"train\"\n },\n {\n \"question_id\": \"45502\",\n \"answer\": \"a hundred and fifty\"\n },\n {\n \"question_id\": \"45503\",\n \"answer\": \"a cagelike box\"\n },\n {\n \"question_id\": \"45504\",\n \"answer\": \"blood\"\n },\n {\n \"question_id\": \"45505\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"45506\",\n \"answer\": \"Hunting and outdoor delights\"\n },\n {\n \"question_id\": \"45507\",\n \"answer\": \"fruit\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n The United States Census of 1850 was the seventh census of the United States. Conducted by the Census Office on June 1, 1850, it determined the resident population of the United States to be 23,191,876—an increase of 35.9 percent over the 17,069,453 persons enumerated during the 1840 Census. The total population included 3,204,313 slaves. \n\nThis was the first census where there was an attempt to collect information about every member of every household, including women, children, and slaves. Prior to 1850, census records had recorded only the name of the head of the household and broad statistical accounting of other household members (three children under age five, one woman between the age of 35 and 40, etc.). It was also the first census to ask about place of birth. \n\nHinton Rowan Helper made extensive use of the 1850 census results in his politically notorious book \"The Impending Crisis of the South\" (1857). \n\nThe 1850 census, Schedule 1, Free Inhabitants, collected the following information: \n\nFull documentation for the 1850 population census, including census forms and enumerator instructions, is available from the Integrated Public Use Microdata Series. \n\nThe 1850 United States Census collected a great amount of data that gave insight into the state of the U.S. economy in 1850. Some of the data revealed the growth of the economy with regards to agricultural and manufactured production, international trade, federal debt, taxation, transportation, education, and land expansion.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76957\": \"Who wrote a book about the 1850 census?\"\n },\n {\n \"76958\": \"What was the title?\"\n },\n {\n \"76959\": \"When was it published?\"\n },\n {\n \"76960\": \"Was it controversial?\"\n },\n {\n \"76961\": \"If I were looking today for the 1850 census forms, could I find them?\"\n },\n {\n \"76962\": \"What about enumerator instructions?\"\n },\n {\n \"76963\": \"Where would I find these things?\"\n },\n {\n \"76964\": \"Did the census that year show anything in regards to the economy?\"\n },\n {\n \"76965\": \"Was the economy in a recession then?\"\n },\n {\n \"76966\": \"How many censuses were there before this one?\"\n },\n {\n \"76967\": \"Who organizes these?\"\n },\n {\n \"76968\": \"And what date did they perform this one?\"\n },\n {\n \"76969\": \"Did the population increase in the ten years prior?\"\n },\n {\n \"76970\": \"By what percentage?\"\n },\n {\n \"76971\": \"And by approximately how many millions of people?\"\n },\n {\n \"76972\": \"True or false: Slaves were counted in the population figures.\"\n },\n {\n \"76973\": \"Besides population growth, what is another reason this census showed an increase in people?\"\n },\n {\n \"76974\": \"In 1840, would they collect the names of wives?\"\n },\n {\n \"76975\": \"What about the head of household?\"\n },\n {\n \"76976\": \"What else was this census the first to collect information on?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76957\",\n \"answer\": \"Hinton Rowan Helper\"\n },\n {\n \"question_id\": \"76958\",\n \"answer\": \"\\\"The Impending Crisis of the South\\\"\"\n },\n {\n \"question_id\": \"76959\",\n \"answer\": \"1857\"\n },\n {\n \"question_id\": \"76960\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"76961\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76962\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76963\",\n \"answer\": \"the Integrated Public Use Microdata Series.\"\n },\n {\n \"question_id\": \"76964\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76965\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76966\",\n \"answer\": \"Six\"\n },\n {\n \"question_id\": \"76967\",\n \"answer\": \"the Census Office\"\n },\n {\n \"question_id\": \"76968\",\n \"answer\": \"June 1, 1850\"\n },\n {\n \"question_id\": \"76969\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76970\",\n \"answer\": \"35.9 percent\"\n },\n {\n \"question_id\": \"76971\",\n \"answer\": \"6 million\"\n },\n {\n \"question_id\": \"76972\",\n \"answer\": \"true\"\n },\n {\n \"question_id\": \"76973\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"76974\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76975\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"76976\",\n \"answer\": \"place of birth\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n How important is color in the business world? Google, one of the biggest U.S. companies, is trying to find it out. The company has already found \"a close connection between color and satisfaction with a person's work area\". That's according to its spokeswoman named Meghan Casserly. \"Color is a silent salesperson,\" said Elyria Kemp. She is an assistant professor of marketing at the University of New Orleans. Kemp is following color trends in business. She is studying the connection between feelings and color. According to Kemp, when people make an evaluation of a product, usually they do this within 90 seconds or less. Besides, more than half of their first evaluation is based on (......) color alone. That's why so many companies are researching their color choices. They are spending thousands of dollars on the research, too. Just think of UPS's Pullman brown, Home Depot's orange and Tiffany & Co.'s blue. Joclyn Benedetto is a spokeswoman for Tiffany & Co. She said the success of the company's jewelry was connected to its blue color. It is used to wrap every product. She said the color was chosen by the founder Charles Lewis Tiffany for the cover of Blue Book, Tiffany's annual collection of beautifully hand-made jewels, which first came out in 1845. Coca-Cola's red color also dates back more than 100 years. The soft drink was shipped in barrels painted red. A spokesperson for Home Depot said research showed that the first thing people thought of was orange when they heard the name of the company. Smaller companies are also realizing the importance of color. But picking the right color is important. \"You know when something is right because you get a feeling of safety, and it's not something that you think about. It just will hit you,\" said Emil Hagopian, a distributor for Mar Plast Color Building Accessories in Ann Arbor, Mich. \"And sometimes, if it's done wrong, that also hits you.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"83914\": \"who is Elyria?\"\n },\n {\n \"83915\": \"what is she following\"\n },\n {\n \"83916\": \"what is she studying?\"\n },\n {\n \"83917\": \"how long does it take people to evaluate according to her?\"\n },\n {\n \"83918\": \"how much are companies spending on research?\"\n },\n {\n \"83919\": \"who is orange?\"\n },\n {\n \"83920\": \"What color is Tiffany and Co\"\n },\n {\n \"83921\": \"Who chose that color?\"\n },\n {\n \"83922\": \"how long does coca cola\"\n },\n {\n \"83923\": \"What was it shipped in?\"\n },\n {\n \"83924\": \"when did tiffany's annual collection come out?\"\n },\n {\n \"83925\": \"what does it consist of?\"\n },\n {\n \"83926\": \"who is Joclyn?\"\n },\n {\n \"83927\": \"what does she say is responsible for their success\"\n },\n {\n \"83928\": \"where is elyria a professor?\"\n },\n {\n \"83929\": \"what is her job there?\"\n },\n {\n \"83930\": \"who found a connection between color and satisfaction?\"\n },\n {\n \"83931\": \"what country are they a big company in?\"\n },\n {\n \"83932\": \"who is their spokeswoman?\"\n },\n {\n \"83933\": \"what world is color important in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"83914\",\n \"answer\": \"Assistant professor of marketing at the University of New Orleans.\"\n },\n {\n \"question_id\": \"83915\",\n \"answer\": \"Color trends in business.\"\n },\n {\n \"question_id\": \"83916\",\n \"answer\": \"The connection between feelings and color.\"\n },\n {\n \"question_id\": \"83917\",\n \"answer\": \"90 seconds or less.\"\n },\n {\n \"question_id\": \"83918\",\n \"answer\": \"Thousands of dollars.\"\n },\n {\n \"question_id\": \"83919\",\n \"answer\": \"Home Depot.\"\n },\n {\n \"question_id\": \"83920\",\n \"answer\": \"Blue.\"\n },\n {\n \"question_id\": \"83921\",\n \"answer\": \"Founder Charles Lewis Tiffany.\"\n },\n {\n \"question_id\": \"83922\",\n \"answer\": \"More than 100 years.\"\n },\n {\n \"question_id\": \"83923\",\n \"answer\": \"Barrels painted red.\"\n },\n {\n \"question_id\": \"83924\",\n \"answer\": \"In 1845.\"\n },\n {\n \"question_id\": \"83925\",\n \"answer\": \"Tiffany's annual collection of beautifully hand-made jewels,\"\n },\n {\n \"question_id\": \"83926\",\n \"answer\": \"A spokeswoman for Tiffany & Co.\"\n },\n {\n \"question_id\": \"83927\",\n \"answer\": \"Its blue color.\"\n },\n {\n \"question_id\": \"83928\",\n \"answer\": \"University of New Orleans\"\n },\n {\n \"question_id\": \"83929\",\n \"answer\": \"Assistant professor\"\n },\n {\n \"question_id\": \"83930\",\n \"answer\": \"Google did.\"\n },\n {\n \"question_id\": \"83931\",\n \"answer\": \"The U.S.\"\n },\n {\n \"question_id\": \"83932\",\n \"answer\": \"Meghan Casserly.\"\n },\n {\n \"question_id\": \"83933\",\n \"answer\": \"The business world?\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 February 1907, the Royal Dutch Shell Group was created through the amalgamation of two rival companies: the Royal Dutch Petroleum Company of the Netherlands and the \"Shell\" Transport and Trading Company Ltd of the United Kingdom. It was a move largely driven by the need to compete globally with Standard Oil. The Royal Dutch Petroleum Company was a Dutch company founded in 1890 to develop an oilfield in Sumatra, and initially led by August Kessler, Hugo Loudon, and Henri Deterding. The \"Shell\" Transport and Trading Company (the quotation marks were part of the legal name) was a British company, founded in 1897 by Marcus Samuel, 1st Viscount Bearsted, and his brother Samuel Samuel. Their father had owned an antique company in Houndsditch, London, which expanded in 1833 to import and sell sea-shells, after which the company \"Shell\" took its name. \n\nShell was vertically integrated and is active in every area of the oil and gas industry, including exploration and production, refining, distribution and marketing, petrochemicals, power generation and trading. It has minor renewable energy activities in the form of biofuels and wind. It has operations in over 90 countries, produces around 3.1 million barrels of oil equivalent per day and has 44,000 service stations worldwide. Shell Oil Company, its subsidiary in the United States, is one of its largest businesses.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21963\": \"What company did Marcus Samuel form?\"\n },\n {\n \"21964\": \"Was it an American company?\"\n },\n {\n \"21965\": \"What then?\"\n },\n {\n \"21966\": \"What year was it founded?\"\n },\n {\n \"21967\": \"Did Marcus have a title?\"\n },\n {\n \"21968\": \"What was it?\"\n },\n {\n \"21969\": \"Did he have a sibling?\"\n },\n {\n \"21970\": \"Brother or sister?\"\n },\n {\n \"21971\": \"And his name?\"\n },\n {\n \"21972\": \"How much oil does Shell produce per day?\"\n },\n {\n \"21973\": \"How many of their services stations are there around the world?\"\n },\n {\n \"21974\": \"In what year was the Shell Group founded?\"\n },\n {\n \"21975\": \"Did Marcus Samuel's father own a company?\"\n },\n {\n \"21976\": \"What sort?\"\n },\n {\n \"21977\": \"In what city was it?\"\n },\n {\n \"21978\": \"In what area of London?\"\n },\n {\n \"21979\": \"What was the year of its expansion?\"\n },\n {\n \"21980\": \"What did the company import?\"\n },\n {\n \"21981\": \"Is this where Shell got its name?\"\n },\n {\n \"21982\": \"Was Royal Dutch Shell Group formed from two different companies?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21963\",\n \"answer\": \"the \\\"Shell\\\" Transport and Trading Company\"\n },\n {\n \"question_id\": \"21964\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21965\",\n \"answer\": \"British\"\n },\n {\n \"question_id\": \"21966\",\n \"answer\": \"1897\"\n },\n {\n \"question_id\": \"21967\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21968\",\n \"answer\": \"1st Viscount\"\n },\n {\n \"question_id\": \"21969\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21970\",\n \"answer\": \"brother\"\n },\n {\n \"question_id\": \"21971\",\n \"answer\": \"Samuel Samuel\"\n },\n {\n \"question_id\": \"21972\",\n \"answer\": \"3.1 million barrels\"\n },\n {\n \"question_id\": \"21973\",\n \"answer\": \"44,000\"\n },\n {\n \"question_id\": \"21974\",\n \"answer\": \"1897\"\n },\n {\n \"question_id\": \"21975\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21976\",\n \"answer\": \"an antique company\"\n },\n {\n \"question_id\": \"21977\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"21978\",\n \"answer\": \"Houndsditch\"\n },\n {\n \"question_id\": \"21979\",\n \"answer\": \"1833\"\n },\n {\n \"question_id\": \"21980\",\n \"answer\": \"sea-shells\"\n },\n {\n \"question_id\": \"21981\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21982\",\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 Fat and shy, Ben Saunders was the last kid in his class picked for any sports team. \"Football, tennis, cricket -- anything with a round ball, I was useless,\" he says now with a laugh. But back then he was the one always made fun of in school gym classes in Devonshire, England. It was a mountain bike he received for his 15thbirthday that changed him. At first he went biking alone in a nearby forest. Then he began to ride the bike along with a runner friend. Gradually, Saunders set up his mind on building up his body, increasing his speed and strength. At the age of 18, he ran his first marathon. The following year he met John Ridgway and started to work as a teacher at Ridgway's school of adventure in Scotland, where he learnt about Ridgway's cold--waterexploits. Greatly interested, Saunders read all he could about North Pole explorers and adventures; he decided that this would be his future. In 2001, after becoming a skillful skier, Saunders started his first long--distance expedition towards the North Pole. It took unbelievable energy. He suffered frostbite, ran into a polar bear and pushed his body to the limit, pulling his sled up and over the rocky mountains. Saunders has become the youngest person to ski alone to the North Pole, and he's skied more of the North Pole by himself than any other British man. His old playmates would not believe the change.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38271\": \"Was Bill always good at sports?\"\n },\n {\n \"38272\": \"Was he usually picked last for teams?\"\n },\n {\n \"38273\": \"What changed him?\"\n },\n {\n \"38274\": \"how old was he?\"\n },\n {\n \"38275\": \"where did he start cycling?\"\n },\n {\n \"38276\": \"with friends?\"\n },\n {\n \"38277\": \"Did he start exercising with a friend?\"\n },\n {\n \"38278\": \"when did he run a marathon?\"\n },\n {\n \"38279\": \"where did he start teaching?\"\n },\n {\n \"38280\": \"at what kind of school?\"\n },\n {\n \"38281\": \"what did he become most interested in there?\"\n },\n {\n \"38282\": \"when did he first go on a North POle trip?\"\n },\n {\n \"38283\": \"did he see a polar bear?\"\n },\n {\n \"38284\": \"Was he the oldest person to ski ot the north pole?\"\n },\n {\n \"38285\": \"the youngest?\"\n },\n {\n \"38286\": \"how did he get up the mountains?\"\n },\n {\n \"38287\": \"which British citizen has skied more of the North Pole than him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38271\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38272\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38273\",\n \"answer\": \"a mountain bike\"\n },\n {\n \"question_id\": \"38274\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"38275\",\n \"answer\": \"in a nearby fores\"\n },\n {\n \"question_id\": \"38276\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38277\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38278\",\n \"answer\": \"At the age of 18\"\n },\n {\n \"question_id\": \"38279\",\n \"answer\": \"in Scotland\"\n },\n {\n \"question_id\": \"38280\",\n \"answer\": \"adventure\"\n },\n {\n \"question_id\": \"38281\",\n \"answer\": \"North Pole explorers and adventures\"\n },\n {\n \"question_id\": \"38282\",\n \"answer\": \"In 2001\"\n },\n {\n \"question_id\": \"38283\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38284\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38285\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38286\",\n \"answer\": \"pulling his sled\"\n },\n {\n \"question_id\": \"38287\",\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 Imagine you are in a jumping contest. Animals and insects can also enter this contest. But they might just leave humans in the dust! \n\nThe first event is the long jump. The human athlete is Mike Powell. In 1991, he jumped nearly 30 feet, which is the world record for the long jump. That is about five times his own height. \n\nHis competitor in the long-jump contest is a frog named \"Rosie the Ribbiter.\" Rosie set the world record for frogs in 1986 by jumping more than 21 feet. Her record has never been broken by any other frog. Compared to Mike Powell, Rosie's jump is not that amazing. But wait! Rosie is only about 10 inches long when her legs are stretched to their full length. She can jump more than 25 times her size. Rosie, the frog, wins the long-jump event. \n\nThe next event is the high jump. Javier Sotomayor, the world record holder, can jump a bar 8 feet high. That is about as high as the ceiling in most homes. \n\nLooking around for someone to challenge his record, Javier might need a magnifying glass . The next _ is a tiny insect called the spittlebug . \n\nThe spittlebug can jump 28 inches into the air. It is only a quarter-inch long, less than the width of a pencil. If the spittlebug were the same size as Javier, it would be able to jump 600 feet into the air. That is like a human jumping over a building 55 stories high! \n\nThough the humans lose the \"jumping contest,\" their competitors would probably agree that Mike and Javier are still pretty excellent athletes. If only Rosie and the spittlebug could speak!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92512\": \"How high can the spittlebug jump?\"\n },\n {\n \"92513\": \"What hyptothetical scenario is the author asking you to envision?\"\n },\n {\n \"92514\": \"Which person is the best long-jumper?\"\n },\n {\n \"92515\": \"What is the distance that he jumped?\"\n },\n {\n \"92516\": \"And which person is the best high-jumper?\"\n },\n {\n \"92517\": \"And what was his best high-jump?\"\n },\n {\n \"92518\": \"Is that better than the high-jump of the bug?\"\n },\n {\n \"92519\": \"Were there similar results with the frog's long-jump?\"\n },\n {\n \"92520\": \"How far was that long-jump?\"\n },\n {\n \"92521\": \"And when did it happen?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92512\",\n \"answer\": \"28 inches\"\n },\n {\n \"question_id\": \"92513\",\n \"answer\": \"Animals and insects can enter a contest.next to human and they may be better at it\"\n },\n {\n \"question_id\": \"92514\",\n \"answer\": \"Mike Powell\"\n },\n {\n \"question_id\": \"92515\",\n \"answer\": \"30 feet,\"\n },\n {\n \"question_id\": \"92516\",\n \"answer\": \"Javier Sotomayor\"\n },\n {\n \"question_id\": \"92517\",\n \"answer\": \"8 feet high\"\n },\n {\n \"question_id\": \"92518\",\n \"answer\": \"Not if you take into account the size of the bug\"\n },\n {\n \"question_id\": \"92519\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"92520\",\n \"answer\": \"21 feet.\"\n },\n {\n \"question_id\": \"92521\",\n \"answer\": \"1986\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 IN COMMAND OF A GALLEY \n\nWilliam Neave, the governor of the prison, looked astonished indeed when, upon his opening the door, the grand master and the bailiff of the English langue, with the twelve knights behind them, entered. He had been puzzled when, four days before, he had received an order from the grand master that Ahmet, a servitor in the auberge of the English langue, should be permitted to pass the night in his house, with authority to move freely and without question, at any hour, in the courtyard of the gaol, and to depart at any hour, secretly and without observation, by the private gate. Still more had he been surprised when he received the message that the grand master would pay him a secret visit at eleven o'clock at night. \n\n\"Let no word be spoken until we are in your apartments,\" D'Aubusson said in a low voice, as he entered. \"But first lead four of these knights and post them so that none can enter the gaol from the house. If there are more than four doors or windows on that side, you must post a larger number. It is imperative that there shall be no communication whatever between your servants and the gaol.\" \n\nAs soon as this was done, the rest of the party were taken to the governor's rooms. \n\n\"I can now explain to you all,\" the grand master said, \"the reason of our presence here. I have learned that at twelve tonight there will be a general rising of the slaves in this prison, and that, aided by treachery, they will free themselves from their fetters, overpower and slay such of the guards in their rooms as have not been bribed, throw open the gates, make their way down to the port, burn all the shipping there, and make off in the six galleys manned by them, having first overpowered the sentries in the three forts commanding the entrance, and spiked the guns.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91751\": \"who got a message that he would be visited by the grand master?\"\n },\n {\n \"91752\": \"where did he work?\"\n },\n {\n \"91753\": \"was he the governor there?\"\n },\n {\n \"91754\": \"what he shocked when he opened his door?\"\n },\n {\n \"91755\": \"how many days before that did he receive an order?\"\n },\n {\n \"91756\": \"when was the grand master suppose to visit him?\"\n },\n {\n \"91757\": \"what is his name?\"\n },\n {\n \"91758\": \"did he tell neave to post four knights?\"\n },\n {\n \"91759\": \"who was given authority to move around as they wished?\"\n },\n {\n \"91760\": \"was he the bailiff?\"\n },\n {\n \"91761\": \"what gate was he suppose to use?\"\n },\n {\n \"91762\": \"who was going to start a riot in the prison?\"\n },\n {\n \"91763\": \"were some of the guards bribed?\"\n },\n {\n \"91764\": \"what would they burn at the port?\"\n },\n {\n \"91765\": \"how would they leave?\"\n },\n {\n \"91766\": \"were they going get by the sentries?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91751\",\n \"answer\": \"William Neave\"\n },\n {\n \"question_id\": \"91752\",\n \"answer\": \"at the prison\"\n },\n {\n \"question_id\": \"91753\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91754\",\n \"answer\": \"the grand master and the bailiff of the English langue, with the twelve knights behind them\"\n },\n {\n \"question_id\": \"91755\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"91756\",\n \"answer\": \"eleven o'clock at night\"\n },\n {\n \"question_id\": \"91757\",\n \"answer\": \"D'Aubusson\"\n },\n {\n \"question_id\": \"91758\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91759\",\n \"answer\": \"Ahmet\"\n },\n {\n \"question_id\": \"91760\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"91761\",\n \"answer\": \"the private gate\"\n },\n {\n \"question_id\": \"91762\",\n \"answer\": \"the slaves in this prison\"\n },\n {\n \"question_id\": \"91763\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"91764\",\n \"answer\": \"all the shipping there\"\n },\n {\n \"question_id\": \"91765\",\n \"answer\": \"and make off in the six galleys manned by the shipping port\"\n },\n {\n \"question_id\": \"91766\",\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 China's top labor official said the country is planning to push back the age at which workers can retire. \n\nYin Weimin, minister of human resources and social security, demonstrated that we did not put a timetable on the move when he spoke about it during a forum at the weekend. \n\n\"Delaying the retirement age is a very complicated issue and we will study it according to the situations of population and employment and consider different groups of people,\" Yin said. \n\nHe noted that _ in the retirement age have been brought in by many countries and can be a good way to deal with an aging population and ensure the healthy and stable development of social security. \n\nThe life expectancy of Chinese people is now 73 years and is expected to rise to 74 during the next five years, he said. \n\nNearly three out of 10 Chinese people will be older than 60 by 2040, according to a United Nations forecast. \n\nThe retirement age in China currently is 60 for men and 55 for female civil servants and 50 for female workers. \n\nThe idea of delaying the retirement age is being widely supported by government officials, while many laborers and non-government employees were less enthusiastic about the prospect of working for longer. Currently, they have to pay into their pension plans for at least 15 years before they can retire. \n\nChen Xianlian, a female worker at a motorcycle parts manufacturer in Chongqing municipality is among those who would like to see the retirement age left as it is. \"I have to do lots of tough and repetitive work every day and I feel very tired after my working day,\" the 41-year-old said. \"All my colleagues are discussing the government's possible move to lift the retirement age. None of us wants to work any extra years.\" \n\nUniversity graduates also fear that any rise in the retirement age could limit their employment opportunities.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59366\": \"Is Chen an old guy?\"\n },\n {\n \"59367\": \"What's her job?\"\n },\n {\n \"59368\": \"For what type of company?\"\n },\n {\n \"59369\": \"Where?\"\n },\n {\n \"59370\": \"What does the company manufacture?\"\n },\n {\n \"59371\": \"How old is Chen?\"\n },\n {\n \"59372\": \"Is she more or less energetic when she gets home after her working day?\"\n },\n {\n \"59373\": \"Does she want to work extra years?\"\n },\n {\n \"59374\": \"Three out of 10 Chinese people will be older than what age in 2040?\"\n },\n {\n \"59375\": \"According to what?\"\n },\n {\n \"59376\": \"Is the retirement age the same for both genders in China?\"\n },\n {\n \"59377\": \"Who gets to retire earlier, men or women?\"\n },\n {\n \"59378\": \"How many different tiers are there for retirement ages and work duties?\"\n },\n {\n \"59379\": \"How many years does everyone have to pay into their pension plans before they can retire?\"\n },\n {\n \"59380\": \"What is the current life expectancy of Chinese people?\"\n },\n {\n \"59381\": \"What is it expected to rise to?\"\n },\n {\n \"59382\": \"When?\"\n },\n {\n \"59383\": \"What is a fear that University grads have about a rise in the retirement age?\"\n },\n {\n \"59384\": \"Will they all have to get jobs in Nebreska?\"\n },\n {\n \"59385\": \"Is delaying the retirement age a complicated issue?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59366\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59367\",\n \"answer\": \"a worker\"\n },\n {\n \"question_id\": \"59368\",\n \"answer\": \"a manufacturer\"\n },\n {\n \"question_id\": \"59369\",\n \"answer\": \"Chongqing municipality\"\n },\n {\n \"question_id\": \"59370\",\n \"answer\": \"motorcycle parts\"\n },\n {\n \"question_id\": \"59371\",\n \"answer\": \"41\"\n },\n {\n \"question_id\": \"59372\",\n \"answer\": \"less\"\n },\n {\n \"question_id\": \"59373\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59374\",\n \"answer\": \"60\"\n },\n {\n \"question_id\": \"59375\",\n \"answer\": \"a United Nations forecast\"\n },\n {\n \"question_id\": \"59376\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"59377\",\n \"answer\": \"women\"\n },\n {\n \"question_id\": \"59378\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"59379\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"59380\",\n \"answer\": \"73\"\n },\n {\n \"question_id\": \"59381\",\n \"answer\": \"74\"\n },\n {\n \"question_id\": \"59382\",\n \"answer\": \"during the next five years\"\n },\n {\n \"question_id\": \"59383\",\n \"answer\": \"it could limit their employment opportunities.\"\n },\n {\n \"question_id\": \"59384\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"59385\",\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 Cable television is a system of delivering television programming to paying subscribers via radio frequency (RF) signals transmitted through coaxial cables, or in more recent systems, light pulses through fiber-optic cables. This contrasts with broadcast television, in which the television signal is transmitted over the air by radio waves and received by a television antenna attached to the television. FM radio programming, high-speed Internet, telephone services, and similar non-television services may also be provided through these cables. Analog television was standard in the 20th century, but since the 2000s, cable systems have been upgraded to digital cable operation. \n\nA \"cable channel\" (sometimes known as a \"cable network\") is a television network available via cable television. When available through satellite television, including direct broadcast satellite providers such as DirecTV, Dish Network and BSkyB, as well as via IPTV providers such as Verizon FIOS and AT&T U-verse is referred to as a \"satellite channel\". Alternative terms include \"non-broadcast channel\" or \"programming service\", the latter being mainly used in legal contexts. Examples of cable/satellite channels/cable networks available in many countries are HBO, MTV, Cartoon Network, E!, Eurosport and CNN International. \n\nThe abbreviation CATV is often used for cable television. It originally stood for \"Community Access Television\" or \"Community Antenna Television\", from cable television's origins in 1948. In areas where over-the-air TV reception was limited by distance from transmitters or mountainous terrain, large \"community antennas\" were constructed, and cable was run from them to individual homes. The origins of cable \"broadcasting\" for radio are even older as radio programming was distributed by cable in some European cities as far back as 1924.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"7865\": \"What signals are used for cable tv?\"\n },\n {\n \"7866\": \"What CATV stands for?\"\n },\n {\n \"7867\": \"Is there any other?\"\n },\n {\n \"7868\": \"From when?\"\n },\n {\n \"7869\": \"Which year?\"\n },\n {\n \"7870\": \"What is the other name for cable channel?\"\n },\n {\n \"7871\": \"What is used for its transmission?\"\n },\n {\n \"7872\": \"Are there any other methods?\"\n },\n {\n \"7873\": \"How broadcast TV is transmitted?\"\n },\n {\n \"7874\": \"via what?\"\n },\n {\n \"7875\": \"Name one service that use same method?\"\n },\n {\n \"7876\": \"When analog tv was a standard?\"\n },\n {\n \"7877\": \"When cable took that spot?\"\n },\n {\n \"7878\": \"Name one cable service provider?\"\n },\n {\n \"7879\": \"Name one satellite service provider?\"\n },\n {\n \"7880\": \"Name one cable channel?\"\n },\n {\n \"7881\": \"What was used in mountainous area?\"\n },\n {\n \"7882\": \"What connected them to homes?\"\n },\n {\n \"7883\": \"Are cable for radio precede cable tv?\"\n },\n {\n \"7884\": \"Did European cities have cable radio?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"7865\",\n \"answer\": \"radio frequency\"\n },\n {\n \"question_id\": \"7866\",\n \"answer\": \"Community Antenna Television\"\n },\n {\n \"question_id\": \"7867\",\n \"answer\": \"Community Access Television\"\n },\n {\n \"question_id\": \"7868\",\n \"answer\": \"cable television's origins\"\n },\n {\n \"question_id\": \"7869\",\n \"answer\": \"1948\"\n },\n {\n \"question_id\": \"7870\",\n \"answer\": \"a cable network\"\n },\n {\n \"question_id\": \"7871\",\n \"answer\": \"coaxial cables\"\n },\n {\n \"question_id\": \"7872\",\n \"answer\": \"cable television\"\n },\n {\n \"question_id\": \"7873\",\n \"answer\": \"radio waves\"\n },\n {\n \"question_id\": \"7874\",\n \"answer\": \"a television antenna\"\n },\n {\n \"question_id\": \"7875\",\n \"answer\": \"FM radio programming\"\n },\n {\n \"question_id\": \"7876\",\n \"answer\": \"in the 20th century\"\n },\n {\n \"question_id\": \"7877\",\n \"answer\": \"since the 2000s\"\n },\n {\n \"question_id\": \"7878\",\n \"answer\": \"DirecTV\"\n },\n {\n \"question_id\": \"7879\",\n \"answer\": \"Dish Network\"\n },\n {\n \"question_id\": \"7880\",\n \"answer\": \"MTV\"\n },\n {\n \"question_id\": \"7881\",\n \"answer\": \"large \\\"community antennas\\\"\"\n },\n {\n \"question_id\": \"7882\",\n \"answer\": \"cable\"\n },\n {\n \"question_id\": \"7883\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"7884\",\n \"answer\": \"yes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n There are three photos of my good friends on my desk. In the first photo you can see Jerry. He is a tall and cool boy with short and straight hair. He is the captain of our basketball team. He is very popular. All my classmates like him very much. In the second photo, you can see the boy with glasses. His name is Jack. He is short and a little bit heavy. But he is very smart and funny. He often tells us funny stories and makes us happy. In the third photo, you can see two girls. They are drinking water. The girl on the left is Lucy. She is a beautiful girl from London. She has long blond hair and big eyes. She can sing very well, and she can also speak a little Chinese. The girl on the right is Li Yun. She is a Chinese girl with beautiful black hair. She studies very hard. She says she wants to be a scientist when she grows up.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36561\": \"Do the girls have the same color hair?\"\n },\n {\n \"36562\": \"Are they both attractive?\"\n },\n {\n \"36563\": \"Which boy definitely plays a sport?\"\n },\n {\n \"36564\": \"Is he tall?\"\n },\n {\n \"36565\": \"Is the other boy tall?\"\n },\n {\n \"36566\": \"Does Jack have naturally good vision?\"\n },\n {\n \"36567\": \"Is he thin?\"\n },\n {\n \"36568\": \"Are the boys about the same height?\"\n },\n {\n \"36569\": \"Is Li Yun studious?\"\n },\n {\n \"36570\": \"What is her desired future occupation?\"\n },\n {\n \"36571\": \"What gender is Jerry?\"\n },\n {\n \"36572\": \"How about Li Yun?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36561\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36562\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36563\",\n \"answer\": \"Jerry\"\n },\n {\n \"question_id\": \"36564\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36565\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36566\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36567\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36568\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36569\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36570\",\n \"answer\": \"Scientist\"\n },\n {\n \"question_id\": \"36571\",\n \"answer\": \"Male\"\n },\n {\n \"question_id\": \"36572\",\n \"answer\": \"Female\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Wonder is the story of a ten-year-old boy who lives with his parents and sister in New York. August, or Auggie, is an ordinary boy in many ways. He rides a bike and likes playing with his Xbox. But Auggie has deformities of the face and looks very different from other children. At the start of the book, he tells us \"My name is August. I won't describe what I look like. Whatever you're thinking, it's probably worse.\" In the street, people look at Auggie and his appearance shocks them. Auggie has never been to school because he has spent a lot of time in hospital. His mother teaches him at home. But now he's ten, she thinks he should go to school. At first, Auggie doesn't want to go. He worries that other students will look at him and say bad things. But then he visits a school with his mum. He likes the head teacher and decides to go. Auggie's first year at school has good times and bad times. Auggie makes some good friends but other children are unfriendly to him. At the end of the year, Auggie goes on a school trip and a frightening event there changes things completely.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52780\": \"Who has never gone to school before?\"\n },\n {\n \"52781\": \"Where does he live?\"\n },\n {\n \"52782\": \"Why hasn't he gone to school?\"\n },\n {\n \"52783\": \"How did he learn?\"\n },\n {\n \"52784\": \"Does he want to go school?\"\n },\n {\n \"52785\": \"What happens after a year?\"\n },\n {\n \"52786\": \"Is it fun?\"\n },\n {\n \"52787\": \"What happened?\"\n },\n {\n \"52788\": \"What does he do for fun?\"\n },\n {\n \"52789\": \"What else?\"\n },\n {\n \"52790\": \"What is he afraid of?\"\n },\n {\n \"52791\": \"What happens when he's on the street?\"\n },\n {\n \"52792\": \"Do the kids like him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52780\",\n \"answer\": \"Auggie\"\n },\n {\n \"question_id\": \"52781\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"52782\",\n \"answer\": \"because he has spent a lot of time in hospital\"\n },\n {\n \"question_id\": \"52783\",\n \"answer\": \"His mother taught him.\"\n },\n {\n \"question_id\": \"52784\",\n \"answer\": \"Not at first.\"\n },\n {\n \"question_id\": \"52785\",\n \"answer\": \"Auggie goes on a school trip\"\n },\n {\n \"question_id\": \"52786\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"52787\",\n \"answer\": \"a frightening event\"\n },\n {\n \"question_id\": \"52788\",\n \"answer\": \"plays with his Xbox\"\n },\n {\n \"question_id\": \"52789\",\n \"answer\": \"rides a bike\"\n },\n {\n \"question_id\": \"52790\",\n \"answer\": \"Other students looking at him and saying bad things.\"\n },\n {\n \"question_id\": \"52791\",\n \"answer\": \"People look at him.\"\n },\n {\n \"question_id\": \"52792\",\n \"answer\": \"Some of them do.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n This summer Frank and his friends went to Boy Scout camp for two weeks. At camp they had lots of fun activities like swimming, wood carving, and telling ghost stories. At camp there weren't any restaurants or grocery stores, so for food they would have to make their own meals. One thing they could do is make peanut butter sandwiches, which every scout was given at the start of camp. But pretty soon everyone was sick of peanut butter sandwiches and wanted to eat something else instead. Some boys went out into the forest and picked out berries and roots that were safe to eat. Some boys even took out the boat and went fishing. They came back with a big fish that they cleaned and cooked themselves. \n\nAt first, Frank's mom was very worried about letting Frank go to camp. She was worried that he could get lost in the woods and be eaten by a bear. She was worried that he might get into a fight with the other boys. She was even worried that he wouldn't shower or take a bath for the whole two weeks. But Frank's scout masters explained to Frank's mom that the camp leaders were very serious about taking care of the campers and that everything would be perfectly safe for Frank. Frank promised to call home at least every two days. So in the end Frank's mom let Frank go to camp.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99000\": \"Who went to boy scout camp?\"\n },\n {\n \"99001\": \"When did they go?\"\n },\n {\n \"99002\": \"How long did the camp last?\"\n },\n {\n \"99003\": \"Did they have interesting things to do?\"\n },\n {\n \"99004\": \"Could they go anywhere to eat?\"\n },\n {\n \"99005\": \"Did they cook their own meals?\"\n },\n {\n \"99006\": \"What were people tired of?J\"\n },\n {\n \"99007\": \"What was found in the forest to eat?\"\n },\n {\n \"99008\": \"Did they catch any seafood?\"\n },\n {\n \"99009\": \"Who had anxiety of Frank leaving?\"\n },\n {\n \"99010\": \"What were her fears?\"\n },\n {\n \"99011\": \"Did she fear he would be in altercations?\"\n },\n {\n \"99012\": \"Was she fearful of him keeping himself clean?\"\n },\n {\n \"99013\": \"Who was serious about making sure the kids were safe?\"\n },\n {\n \"99014\": \"How often would he phone his mother?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99000\",\n \"answer\": \"Frank and his friends\"\n },\n {\n \"question_id\": \"99001\",\n \"answer\": \"Summer\"\n },\n {\n \"question_id\": \"99002\",\n \"answer\": \"2 weeks\"\n },\n {\n \"question_id\": \"99003\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"99004\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"99005\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"99006\",\n \"answer\": \"Peanut butter sandwiches\"\n },\n {\n \"question_id\": \"99007\",\n \"answer\": \"Berries and roots\"\n },\n {\n \"question_id\": \"99008\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99009\",\n \"answer\": \"His mom.\"\n },\n {\n \"question_id\": \"99010\",\n \"answer\": \"Lost in woods or eaten by a bear.\"\n },\n {\n \"question_id\": \"99011\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99012\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99013\",\n \"answer\": \"Scout masters\"\n },\n {\n \"question_id\": \"99014\",\n \"answer\": \"Every 2 days.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 teenage mother and her young daughter, snatched off a Cleveland street, were found shot to death in a garage early Sunday, Cleveland, Ohio, police said. \n\nThomas Lorde, the estranged boyfriend of 19-year-old Latasha Jackson and the father of 1-year-old Chaniya Wynn, was found next to them, dead of an apparent self-inflicted gunshot wound to the head, police said Sunday. \n\nCleveland police issued an Amber Alert on Saturday after witnesses reported seeing Jackson and Chaniya abducted while walking on East 72nd Avenue in Cleveland. \n\nJackson's 14-year-old brother was walking with the pair when he said Lorde approached. \n\n\"He walked up on us and ... he pulled out the gun. He pointed it at me,\" the brother told CNN affiliate WEWS. \"He told me to run.\" \n\nThe brother, who CNN is not identifying because of his age, ran home and called 911. \n\n\"I was scared for my niece and my sister,\" he said. \"She (Jackson) was silent. She was scared. She didn't know what to do.\" \n\nThe alert named Lorde, 25, as the kidnapping suspect, warning that he was a \"violent sexual predator with felony warrants out of New York,\" and armed and dangerous. \n\nThe alert was lifted Sunday after police found the bodies of the three \"in a closed garage of an unoccupied structure in the 7000 block of Union Avenue,\" a police statement said. \n\n\"All three were found unresponsive with gunshot wounds and pronounced dead on the scene,\" the statement said. \n\nNo other details of the investigation were made public. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"12613\": \"Who was snatched?\"\n },\n {\n \"12614\": \"from where ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"12613\",\n \"answer\": \"A teenage mother and her young daughter\"\n },\n {\n \"question_id\": \"12614\",\n \"answer\": \"a Cleveland street\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\n'And you walked here!' said Lady Everingham to Coningsby, when the stir of arranging themselves at dinner had subsided. 'Only think, papa, Mr. Coningsby walked here! I also am a great walker.' \n\n'I had heard much of the forest,' said Coningsby. \n\n'Which I am sure did not disappoint you,' said the Duke. \n\n'But forests without adventures!' said Lady Everingham, a little shrugging her pretty shoulders. \n\n'But I had an adventure,' said Coningsby. \n\n'Oh! tell it us by all means!' said the Lady, with great animation. 'Adventures are my weakness. I have had more adventures than any one. Have I not had, Augustus?' she added, addressing her husband. \n\n'But you make everything out to be an adventure, Isabel,' said Lord Everingham. I dare say that Mr. Coningsby's was more substantial.' And looking at our young friend, he invited him to inform them. \n\n'I met a most extraordinary man,' said Coningsby. \n\n'It should have been a heroine,' exclaimed Lady Everingham. \n\n'Do you know anybody in this neighbourhood who rides the finest Arab in the world?' asked Coningsby. 'She is called \"the Daughter of the Star,\" and was given to her rider by the Pacha of Egypt.' \n\n'This is really an adventure,' said Lady Everingham, interested. \n\n'The Daughter of the Star!' said Lady Theresa. 'What a pretty name! Percy has a horse called \"Sunbeam.\"' \n\n'A fine Arab, the finest in the world!' said the Duke, who was fond of horse. 'Who can it be?' \n\n'Can you throw any light on this, Mr. Lyle?' asked the Duchess of a young man who sat next her. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61834\": \"Who was astonished?\"\n },\n {\n \"61835\": \"Was it at the size of someone's feet?\"\n },\n {\n \"61836\": \"What had they done?\"\n },\n {\n \"61837\": \"Who had accomplished such an amazing feat as walking?\"\n },\n {\n \"61838\": \"Was Lady Everingham impressed?\"\n },\n {\n \"61839\": \"Is she also a great walker?\"\n },\n {\n \"61840\": \"Had Coningsby heard anything about the woods?\"\n },\n {\n \"61841\": \"Did he have an adventure?\"\n },\n {\n \"61842\": \"Whose weakness are adventures?\"\n },\n {\n \"61843\": \"Has she had any of her own?\"\n },\n {\n \"61844\": \"What's her first name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61834\",\n \"answer\": \"Lady Everingham\"\n },\n {\n \"question_id\": \"61835\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"61836\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"61837\",\n \"answer\": \"Coningsby\"\n },\n {\n \"question_id\": \"61838\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61839\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61840\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61841\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61842\",\n \"answer\": \"Lady Everingham\"\n },\n {\n \"question_id\": \"61843\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"61844\",\n \"answer\": \", Isabel,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Long ago, Bluebird's feathers were the colour of dust. She did not like her ugly colour. She was attracted by the colour of the lake near her home. It was as blue as the sky after a storm. Bluebird wanted to be the colour of that beautiful lake very much. Flapping her wings one morning, Bluebird flew from her tree to the blue lake. Then she bathed in the water three times. After each bath, she sang, \"Blue water. Still water. I went in. I am blue.\" Bluebird repeated this every morning. On the third day, she came out of the lake with beautiful blue feathers. Now Coyote was a trickster --and hungry too. He stayed behind Bluebird's tree for a long time every day and watched her go to the lake. He pretended to be interested in everything she did. He wanted Bluebird for lunch, but he was afraid of the blue water. On the third morning, Coyote saw Bluebird come out of the lake with beautiful blue feathers. Impressed, he sat next to Bluebird's tree and waited for her. When she returned, he asked, \"How did you get blue feathers? I want to be blue like the mountains too.\" Bluebird didn't believe Coyote, but she taught him how to bathe three times each morning and how to sing her song. Coyote did what she said, and after three days of bathing in the lake, his white fur turned deep blue. Convinced that blue fur was even more beautiful than blue feathers, Coyote forgot all about being hungry. He ran as fast as he could to the top of the hill. Standing on his back legs, he raised his front legs off the ground and howled. But Coyote slipped and rolled down the hill. He couldn't stop himself, and the dust and dirt covered his new blue fur. He rolled and rolled until he hit into Bluebird's tree heavily. No matter how much he tried, foolish Coyote could not shake the dust from his fur. And so the fur of all coyotes had the dull colour of dust to this very day.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73727\": \"What color were Bluebirds feathers?\"\n },\n {\n \"73728\": \"When?\"\n },\n {\n \"73729\": \"Did she like them?\"\n },\n {\n \"73730\": \"What color did she like?\"\n },\n {\n \"73731\": \"How blue was it?\"\n },\n {\n \"73732\": \"Where had she seen this color?\"\n },\n {\n \"73733\": \"Did she fly there?\"\n },\n {\n \"73734\": \"From where?\"\n },\n {\n \"73735\": \"Did she bathe in the water?\"\n },\n {\n \"73736\": \"Twice?\"\n },\n {\n \"73737\": \"Three times?\"\n },\n {\n \"73738\": \"When did she sing?\"\n },\n {\n \"73739\": \"At night?\"\n },\n {\n \"73740\": \"When?\"\n },\n {\n \"73741\": \"For how many days?\"\n },\n {\n \"73742\": \"What happened on the 3rd day?\"\n },\n {\n \"73743\": \"Was anyone watching Bluebird?\"\n },\n {\n \"73744\": \"Who?\"\n },\n {\n \"73745\": \"Was he hungry?\"\n },\n {\n \"73746\": \"Where did he stay?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73727\",\n \"answer\": \"the colour of dust\"\n },\n {\n \"question_id\": \"73728\",\n \"answer\": \"Long ago\"\n },\n {\n \"question_id\": \"73729\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73730\",\n \"answer\": \"blue\"\n },\n {\n \"question_id\": \"73731\",\n \"answer\": \"the sky after a storm\"\n },\n {\n \"question_id\": \"73732\",\n \"answer\": \"lake\"\n },\n {\n \"question_id\": \"73733\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73734\",\n \"answer\": \"her tree\"\n },\n {\n \"question_id\": \"73735\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73736\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73737\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73738\",\n \"answer\": \"After each bath\"\n },\n {\n \"question_id\": \"73739\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73740\",\n \"answer\": \"every morning\"\n },\n {\n \"question_id\": \"73741\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"73742\",\n \"answer\": \"came out of the lake with blue feathers\"\n },\n {\n \"question_id\": \"73743\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73744\",\n \"answer\": \"Coyote\"\n },\n {\n \"question_id\": \"73745\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73746\",\n \"answer\": \"behind Bluebird's tree\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Unlike the Spanish milled dollar the U.S. dollar is based upon a decimal system of values. In addition to the dollar the coinage act officially established monetary units of mill or one-thousandth of a dollar (symbol ₥), cent or one-hundredth of a dollar (symbol ¢), dime or one-tenth of a dollar, and eagle or ten dollars, with prescribed weights and composition of gold, silver, or copper for each. It was proposed in the mid-1800s that one hundred dollars be known as a union, but no union coins were ever struck and only patterns for the $50 half union exist. However, only cents are in everyday use as divisions of the dollar; \"dime\" is used solely as the name of the coin with the value of 10¢, while \"eagle\" and \"mill\" are largely unknown to the general public, though mills are sometimes used in matters of tax levies, and gasoline prices are usually in the form of $X.XX9 per gallon, e.g., $3.599, sometimes written as $3.599⁄10. When currently issued in circulating form, denominations equal to or less than a dollar are emitted as U.S. coins while denominations equal to or greater than a dollar are emitted as Federal Reserve notes (with the exception of gold, silver and platinum coins valued up to $100 as legal tender, but worth far more as bullion). Both one-dollar coins and notes are produced today, although the note form is significantly more common. In the past, \"paper money\" was occasionally issued in denominations less than a dollar (fractional currency) and gold coins were issued for circulation up to the value of $20 (known as the \"double eagle\", discontinued in the 1930s). The term eagle was used in the Coinage Act of 1792 for the denomination of ten dollars, and subsequently was used in naming gold coins. Paper currency less than one dollar in denomination, known as \"fractional currency\", was also sometimes pejoratively referred to as \"shinplasters\". In 1854, James Guthrie, then Secretary of the Treasury, proposed creating $100, $50 and $25 gold coins, which were referred to as a \"Union\", \"Half Union\", and \"Quarter Union\", thus implying a denomination of 1 Union = $100.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62677\": \"Is the US dollar on a decimal system?\"\n },\n {\n \"62678\": \"What country's dollar is not?\"\n },\n {\n \"62679\": \"What is a mill?\"\n },\n {\n \"62680\": \"And a cent?\"\n },\n {\n \"62681\": \"And the dime?\"\n },\n {\n \"62682\": \"What's the symbol for a mill?\"\n },\n {\n \"62683\": \"And that for cent?\"\n },\n {\n \"62684\": \"How much is an eagle?\"\n },\n {\n \"62685\": \"What are these coins made of?\"\n },\n {\n \"62686\": \"When was making $100 as a union proposed?\"\n },\n {\n \"62687\": \"Were union coins made?\"\n },\n {\n \"62688\": \"Were there patterns for it?\"\n },\n {\n \"62689\": \"What about for the half union?\"\n },\n {\n \"62690\": \"When are mills used in regular life?\"\n },\n {\n \"62691\": \"When else?\"\n },\n {\n \"62692\": \"How are values less than a dollar given out?\"\n },\n {\n \"62693\": \"Are there one dollar coins?\"\n },\n {\n \"62694\": \"Are they common?\"\n },\n {\n \"62695\": \"What was occasionally issued for values under a dollar?\"\n },\n {\n \"62696\": \"How much is a double eagle?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62677\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62678\",\n \"answer\": \"Spain\"\n },\n {\n \"question_id\": \"62679\",\n \"answer\": \"1/1000 of a dollar\"\n },\n {\n \"question_id\": \"62680\",\n \"answer\": \"1/100\"\n },\n {\n \"question_id\": \"62681\",\n \"answer\": \"1/10\"\n },\n {\n \"question_id\": \"62682\",\n \"answer\": \"\\u20a5\"\n },\n {\n \"question_id\": \"62683\",\n \"answer\": \"\\u00a2\"\n },\n {\n \"question_id\": \"62684\",\n \"answer\": \"ten dollars\"\n },\n {\n \"question_id\": \"62685\",\n \"answer\": \"gold, silver, or copper\"\n },\n {\n \"question_id\": \"62686\",\n \"answer\": \"mid-1800s\"\n },\n {\n \"question_id\": \"62687\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62688\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62689\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62690\",\n \"answer\": \"tax levies\"\n },\n {\n \"question_id\": \"62691\",\n \"answer\": \"gasoline prices\"\n },\n {\n \"question_id\": \"62692\",\n \"answer\": \"coins\"\n },\n {\n \"question_id\": \"62693\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62694\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62695\",\n \"answer\": \"paper money\"\n },\n {\n \"question_id\": \"62696\",\n \"answer\": \"$20\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Chapter XIII. \n\nPHILIP AND MAGGIE. \n\nPoor Tom bore his severe pain like a hero, but there was a terrible dread weighing on his mind--so terrible that he dared not ask the question which might bring the fatal \"yes\"--he dared not ask the surgeon or Mr. Stelling, \"Shall I be lame, sir?\" \n\nIt had not occurred to either of these gentlemen to set the lad's mind at rest with hopeful words. But Philip watched the surgeon out of the house, and waylaid Mr. Stelling to ask the very question that Tom had not dared to ask for himself. \n\n\"I beg your pardon, sir, but does Mr. Askern say Tulliver will be lame?\" \n\n\"Oh no, oh no,\" said Mr. Stelling; \"only for a little while.\" \n\n\"Did he tell Tulliver so, sir, do you think?\" \n\n\"No; nothing was said to him on the subject.\" \n\n\"Then I may go and tell him, sir?\" \n\n\"Yes, to be sure. Now you mention it, I dare say he may be troubling about that. Go to his bedroom, but be very quiet.\" \n\nIt had been Philip's first thought when he heard of the accident, \"Will Tulliver be lame? It will be very hard for him if he is.\" And Tom's offences against himself were all washed out by that pity. \n\n\"Mr. Askern says you'll soon be all right again, Tulliver; did you know?\" he said, rather timidly, as he stepped gently up to Tom's bed. \"I've just been to ask Mr. Stelling, and he says you'll walk as well as ever again, by-and-by.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95169\": \"what is the title ?\"\n },\n {\n \"95170\": \"what chapter ?\"\n },\n {\n \"95171\": \"who had very bad pain ?\"\n },\n {\n \"95172\": \"who whatched the surgeon out of the house ?\"\n },\n {\n \"95173\": \"will tuver be lame ?\"\n },\n {\n \"95174\": \"and who said that ?\"\n },\n {\n \"95175\": \"was anything said to him on the subject ?\"\n },\n {\n \"95176\": \"he may be troubling about what ?\"\n },\n {\n \"95177\": \"who shold go to his bedroom ?\"\n },\n {\n \"95178\": \"will he walk every agian ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95169\",\n \"answer\": \"PHILIP AND MAGGIE.\"\n },\n {\n \"question_id\": \"95170\",\n \"answer\": \"XIII.\"\n },\n {\n \"question_id\": \"95171\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"95172\",\n \"answer\": \"Philip\"\n },\n {\n \"question_id\": \"95173\",\n \"answer\": \"\\\"only for a little while.\\\"\"\n },\n {\n \"question_id\": \"95174\",\n \"answer\": \"Mr. Stelling\"\n },\n {\n \"question_id\": \"95175\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95176\",\n \"answer\": \"being lame\"\n },\n {\n \"question_id\": \"95177\",\n \"answer\": \"Philip\"\n },\n {\n \"question_id\": \"95178\",\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 FOUR. \n\nA DISCOVERY--THE CHASE CONTINUED ON FOOT. \n\nTo bound from the depths of despair to the pinnacles of hope is by no means an uncommon experience to vigorous youth. When Victor Ravenshaw awoke next morning after a profound and refreshing sleep, and looked up through the branches at the bright sky, despondency fled, and he felt ready for anything. He was early awake, but Peegwish had evidently been up long before him, for that wrinkled old savage had kindled the fire, and was seated on the other side of it wrapped in his blanket, smoking, and watching the preparation of breakfast. When Victor contemplated his solemn eyes glaring at a roasting duck, which suggested the idea that he had been sitting there and glaring all night, he burst into an uncontrollable fit of laughter. \n\n\"Come, I say, Vic,\" said Ian, roused by this from a comfortable nap, \"if you were a hyena there might be some excuse for you, but being only a man--forgive me, a boy--you ought to have more sense than to disturb your friends so.\" \n\n\"Oui, yes; dat is troo. Vraiment, it is too bad,\" growled Rollin, sitting up and stretching himself. \"Howsomewhatever, it is time to rise. Oui!\" \n\n\"I should think it was,\" retorted Victor; \"the sun is already up, and you may be sure that Petawanaquat has tramped some miles this morning. Come, Peegwish, close your eyes a bit for fear they jump out. What have you got to give us, eh? Robbiboo, ducks, and--no, is it tea? Well, we _are_ in luck to have fallen in with you.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87407\": \"what is a common experience for youth?\"\n },\n {\n \"87408\": \"Who awoke?\"\n },\n {\n \"87409\": \"when?\"\n },\n {\n \"87410\": \"Did he sleep well?\"\n },\n {\n \"87411\": \"how did he feel?\"\n },\n {\n \"87412\": \"did he wake up late?\"\n },\n {\n \"87413\": \"who was awake earlier than him?\"\n },\n {\n \"87414\": \"how much earlier?\"\n },\n {\n \"87415\": \"what had he done?\"\n },\n {\n \"87416\": \"where was he sitting?\"\n },\n {\n \"87417\": \"doing what?\"\n },\n {\n \"87418\": \"wrapped in what?\"\n },\n {\n \"87419\": \"what was being made for breakfast?\"\n },\n {\n \"87420\": \"who saw him watching?\"\n },\n {\n \"87421\": \"how did he react?\"\n },\n {\n \"87422\": \"what was so funny?\"\n },\n {\n \"87423\": \"who was compared to an animal?\"\n },\n {\n \"87424\": \"what animal?\"\n },\n {\n \"87425\": \"why is Peegwish told to close his eyes?\"\n },\n {\n \"87426\": \"was the sun up yet?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87407\",\n \"answer\": \"To bound from the depths of despair to the pinnacles of hope\"\n },\n {\n \"question_id\": \"87408\",\n \"answer\": \"Victor Ravenshaw\"\n },\n {\n \"question_id\": \"87409\",\n \"answer\": \"next morning\"\n },\n {\n \"question_id\": \"87410\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"87411\",\n \"answer\": \"ready for anything\"\n },\n {\n \"question_id\": \"87412\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"87413\",\n \"answer\": \"Peegwish\"\n },\n {\n \"question_id\": \"87414\",\n \"answer\": \"long before him\"\n },\n {\n \"question_id\": \"87415\",\n \"answer\": \"kindled the fire\"\n },\n {\n \"question_id\": \"87416\",\n \"answer\": \"on the other side of it\"\n },\n {\n \"question_id\": \"87417\",\n \"answer\": \"smoking, and watching the preparation of breakfast\"\n },\n {\n \"question_id\": \"87418\",\n \"answer\": \"his blanket\"\n },\n {\n \"question_id\": \"87419\",\n \"answer\": \"a roasting duck\"\n },\n {\n \"question_id\": \"87420\",\n \"answer\": \"Ian\"\n },\n {\n \"question_id\": \"87421\",\n \"answer\": \"he burst into an uncontrollable fit of laughter\"\n },\n {\n \"question_id\": \"87422\",\n \"answer\": \"he had been sitting there and glaring all night\"\n },\n {\n \"question_id\": \"87423\",\n \"answer\": \"Victor\"\n },\n {\n \"question_id\": \"87424\",\n \"answer\": \"a hyena\"\n },\n {\n \"question_id\": \"87425\",\n \"answer\": \"for fear they jump out\"\n },\n {\n \"question_id\": \"87426\",\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 Dear Jenny, I am in Beijing, China now, but my parents are in the USA. I live with my brother Peter. Beijing is big and great. There are many beautiful places and much delicious food here. I like Beijing very much. Peter and I are in the same grade, but we are in different classes. We live far from the school and it takes us a long time to go to school. We have to get up at 6:20 in the morning, and then at 6:30 we ride bikes to the bus stop. It takes us about 20 minutes. At about 7:00, we take the bus to school. We get to school at about 7:30. We have four classes in the morning and two in the afternoon. I think Chinese is too difficult, but Peter thinks it is easy. He can speak Chinese very well and he often helps me with it. How is everything going with you in the USA? Write to me soon. Love, Kate ,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95861\": \"Who is the letter to?\"\n },\n {\n \"95862\": \"Where does Kate live?\"\n },\n {\n \"95863\": \"And her parents?\"\n },\n {\n \"95864\": \"Who does she live with?\"\n },\n {\n \"95865\": \"Is Beijing a small city?\"\n },\n {\n \"95866\": \"Does she like Beijing?\"\n },\n {\n \"95867\": \"Why?\"\n },\n {\n \"95868\": \"Are Kate and Peter in the same class?\"\n },\n {\n \"95869\": \"Does it take a long time to get to school?\"\n },\n {\n \"95870\": \"How long?\"\n },\n {\n \"95871\": \"How many modes of transportation are used?\"\n },\n {\n \"95872\": \"How many classes does she have?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95861\",\n \"answer\": \"Kate\"\n },\n {\n \"question_id\": \"95862\",\n \"answer\": \"USA\"\n },\n {\n \"question_id\": \"95863\",\n \"answer\": \"USA\"\n },\n {\n \"question_id\": \"95864\",\n \"answer\": \"Peter\"\n },\n {\n \"question_id\": \"95865\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95866\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95867\",\n \"answer\": \"There are many beautiful places and much delicious food here\"\n },\n {\n \"question_id\": \"95868\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95869\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95870\",\n \"answer\": \"20 minutes\"\n },\n {\n \"question_id\": \"95871\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"95872\",\n \"answer\": \"Six\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Hello Sandy, We have just returned from our holiday. We went with our friends Edward Smith and his wife Tina to the Yorkshire Moors. This is a beautiful place. It is a natural park. There are lots of places to walk on the tops of the hills, miles of grassland with no people, just sheep and birds. Edward, who had just come out of hospital, could not walk as far as be used to. However this meant that we walked in the mornings, and then stopped at a cafe for lunch each day, before returning to the place we live. Edward and I slept in front of the fire all afternoon, while the ladies went for another walk. Very pleasant! I have taken lots of photos from the place we live, across the valley below us, of the morning sunrise, and the mist in the valley. Also, in England, the old steam powered trains are very popular. I have taken many photos of the train and from it. Yesterday we had the first snow of this winter. It is very early (we usually expect snow in January). It rained all day, then snowed in the evening. Today we have bright sunshine! Both Jenny and I are well I don't know if I told you, in the last e-mail, that Jenny is now working in a hotel. Although she has to work hard, people there are nice and she is enjoying the work. Please write to us to tell us your news. Yours, Victor\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52280\": \"Where did the writer of the letter go on vacation?\"\n },\n {\n \"52281\": \"Who did he go with?\"\n },\n {\n \"52282\": \"What were their names?\"\n },\n {\n \"52283\": \"Which of them had been unwell?\"\n },\n {\n \"52284\": \"Was he able to walk well?\"\n },\n {\n \"52285\": \"What did they do in the mornings?\"\n },\n {\n \"52286\": \"What did the men do in the afternoon?\"\n },\n {\n \"52287\": \"What did the women do while they did that?\"\n },\n {\n \"52288\": \"Where did they eat?\"\n },\n {\n \"52289\": \"What was below where they stayed?\"\n },\n {\n \"52290\": \"Did the narrator take pictures of it?\"\n },\n {\n \"52291\": \"What else did he photograph?\"\n },\n {\n \"52292\": \"Were they common there?\"\n },\n {\n \"52293\": \"What is his wife's name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52280\",\n \"answer\": \"Yorkshire Moors\"\n },\n {\n \"question_id\": \"52281\",\n \"answer\": \"friends\"\n },\n {\n \"question_id\": \"52282\",\n \"answer\": \"Edward Smith and his wife Tina\"\n },\n {\n \"question_id\": \"52283\",\n \"answer\": \"Edward\"\n },\n {\n \"question_id\": \"52284\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52285\",\n \"answer\": \"walked\"\n },\n {\n \"question_id\": \"52286\",\n \"answer\": \"slept\"\n },\n {\n \"question_id\": \"52287\",\n \"answer\": \"went for another walk\"\n },\n {\n \"question_id\": \"52288\",\n \"answer\": \"a cafe\"\n },\n {\n \"question_id\": \"52289\",\n \"answer\": \"valley\"\n },\n {\n \"question_id\": \"52290\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52291\",\n \"answer\": \"old steam powered trains\"\n },\n {\n \"question_id\": \"52292\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"52293\",\n \"answer\": \"Jenny\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 The kid was going for a quick swim. He loved to get out and hop back into the water. When he was out of the pool he liked to dance and run around. Sometimes when he got out he would sit in the chair and get some sun. He liked to work on his skin color. Just like his mommy. He would take his toys and hop in the water with them. He liked to play football in the water the most. He was taller than the other kids his age, so he could play football and not worry about the bigger kids. He could jump into the deeper section of the pool as long as he got back to where he could touch before his mom worried too much. The pool was his favorite place in the world. The boy could imagine he was doing anything. All of his problems went away. It was a very nice place for him to get his energy out and make friends for when he wasn't at the pool. He loved making friends.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"74459\": \"did the kid like to tan?\"\n },\n {\n \"74460\": \"did he go for a long swim?\"\n },\n {\n \"74461\": \"when he was out of the pool what would he do?\"\n },\n {\n \"74462\": \"did his mom like to tan too?\"\n },\n {\n \"74463\": \"where did he take his toys?\"\n },\n {\n \"74464\": \"what was his favorite sport to play in the water?\"\n },\n {\n \"74465\": \"did he have to worry about big kids?\"\n },\n {\n \"74466\": \"why not?\"\n },\n {\n \"74467\": \"what was his favorite place?\"\n },\n {\n \"74468\": \"how many of his problems went away while swimming?\"\n },\n {\n \"74469\": \"did he hate making friends?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"74459\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74460\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74461\",\n \"answer\": \"dance and run around\"\n },\n {\n \"question_id\": \"74462\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"74463\",\n \"answer\": \"in the water with them\"\n },\n {\n \"question_id\": \"74464\",\n \"answer\": \"football\"\n },\n {\n \"question_id\": \"74465\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"74466\",\n \"answer\": \"He was taller\"\n },\n {\n \"question_id\": \"74467\",\n \"answer\": \"The pool\"\n },\n {\n \"question_id\": \"74468\",\n \"answer\": \"All of them\"\n },\n {\n \"question_id\": \"74469\",\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 Todd lived in a town outside the city . Unlike the city the town was peaceful and quiet and full of trees, flowers and animals. One day his dad came in from work and said \"Come on, son, I'm going to take you to the city.\" Todd was very exited so he put on his shoes and ran to the car. When they got to the city Todd was very surprised there were so many cars and people, everyone seemed to be in a hurry. There were no trees, no flowers, and no animals. Todd was so happy to get back home. When his mom asked him about his trip to the city Todd said,\"There's no place like home.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36147\": \"What type of place did Todd live in?\"\n },\n {\n \"36148\": \"Located where?\"\n },\n {\n \"36149\": \"How did he get to the automobile?\"\n },\n {\n \"36150\": \"Why did he run?\"\n },\n {\n \"36151\": \"What did he have do to get ready?\"\n },\n {\n \"36152\": \"What is the biggest difference between where lived and where he would be visiting?\"\n },\n {\n \"36153\": \"Why was it peaceful?\"\n },\n {\n \"36154\": \"What else?\"\n },\n {\n \"36155\": \"What about the city?\"\n },\n {\n \"36156\": \"What was there instead?\"\n },\n {\n \"36157\": \"How did he feel about that?\"\n },\n {\n \"36158\": \"How else?\"\n },\n {\n \"36159\": \"What was his impression of the people there?\"\n },\n {\n \"36160\": \"How did he feel about leaving the city?\"\n },\n {\n \"36161\": \"Why?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36147\",\n \"answer\": \"a town\"\n },\n {\n \"question_id\": \"36148\",\n \"answer\": \"outside the city\"\n },\n {\n \"question_id\": \"36149\",\n \"answer\": \"he ran\"\n },\n {\n \"question_id\": \"36150\",\n \"answer\": \"Todd was very exited\"\n },\n {\n \"question_id\": \"36151\",\n \"answer\": \"he put on his shoes\"\n },\n {\n \"question_id\": \"36152\",\n \"answer\": \"the town was peaceful\"\n },\n {\n \"question_id\": \"36153\",\n \"answer\": \"it was quiet\"\n },\n {\n \"question_id\": \"36154\",\n \"answer\": \"full of trees\"\n },\n {\n \"question_id\": \"36155\",\n \"answer\": \"There were no trees\"\n },\n {\n \"question_id\": \"36156\",\n \"answer\": \"many cars and people\"\n },\n {\n \"question_id\": \"36157\",\n \"answer\": \"Unhappy\"\n },\n {\n \"question_id\": \"36158\",\n \"answer\": \"surprised\"\n },\n {\n \"question_id\": \"36159\",\n \"answer\": \"everyone seemed to be in a hurry\"\n },\n {\n \"question_id\": \"36160\",\n \"answer\": \"happy\"\n },\n {\n \"question_id\": \"36161\",\n \"answer\": \"There's no place like home\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n KDE () is an international free software community that develops Free and Libre software. Well-known products include the Plasma Desktop, KDE Frameworks and a range of cross-platform applications designed to run on modern Unix-like and Microsoft Windows systems. It further provides tools and documentation for developers that enables them to write software. This supporting role makes KDE a central development hub and home for many popular applications and projects like Calligra Suite, Krita or digiKam. \n\nThe Plasma Desktop, being one of the most recognized projects of KDE, is the default desktop environment on many Linux distributions, such as openSUSE, Mageia, Chakra, Kubuntu, Manjaro Linux, and PCLinuxOS. It was also the default desktop environment on PC-BSD, but was later replaced with Lumina, a desktop environment which, like KDE, is written in C++ and Qt. \n\nThe work of the KDE community can be measured in the following figures: \n\nK Desktop Environment (KDE) was founded in 1996 by Matthias Ettrich, who was then a student at the Eberhard Karls University of Tübingen. At the time, he was troubled by certain aspects of the Unix desktop. Among his concerns was that none of the applications looked, felt, or worked alike. He proposed the creation of not merely a set of applications but a desktop environment in which users could expect things to look, feel, and work consistently. He also wanted to make this desktop easy to use; one of his complaints about desktop applications of the time was that it is too complicated for end user. His initial Usenet post spurred a lot of interest, and the KDE project was born.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"24621\": \"What is KDE?\"\n },\n {\n \"24622\": \"What is one well known product?\"\n },\n {\n \"24623\": \"what else?\"\n },\n {\n \"24624\": \"Which one was more popular?\"\n },\n {\n \"24625\": \"What that a default desktop environment?\"\n },\n {\n \"24626\": \"Was it mainly on Linux or Windows?\"\n },\n {\n \"24627\": \"Name one of those Linux distributions?\"\n },\n {\n \"24628\": \"What about another one?\"\n },\n {\n \"24629\": \"What does KDE stand for?\"\n },\n {\n \"24630\": \"when was it founded?\"\n },\n {\n \"24631\": \"By who?\"\n },\n {\n \"24632\": \"What he a student or a professor?\"\n },\n {\n \"24633\": \"At what university?\"\n },\n {\n \"24634\": \"What was he troubled by?\"\n },\n {\n \"24635\": \"Did he want something more than a desktop environment?\"\n },\n {\n \"24636\": \"what was his issue about desktops?\"\n },\n {\n \"24637\": \"Were people interested in what he created?\"\n },\n {\n \"24638\": \"Was it a lot or a little interest.\"\n },\n {\n \"24639\": \"Do people pay for the software or is it free?\"\n },\n {\n \"24640\": \"Can it run on Microsoft systems?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"24621\",\n \"answer\": \"an international free software community\"\n },\n {\n \"question_id\": \"24622\",\n \"answer\": \"Plasma Desktop,\"\n },\n {\n \"question_id\": \"24623\",\n \"answer\": \"KDE Frameworks\"\n },\n {\n \"question_id\": \"24624\",\n \"answer\": \"The Plasma Desktop\"\n },\n {\n \"question_id\": \"24625\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24626\",\n \"answer\": \"Linux\"\n },\n {\n \"question_id\": \"24627\",\n \"answer\": \"openSUSE\"\n },\n {\n \"question_id\": \"24628\",\n \"answer\": \"Mageia\"\n },\n {\n \"question_id\": \"24629\",\n \"answer\": \"K Desktop Environment\"\n },\n {\n \"question_id\": \"24630\",\n \"answer\": \"1996\"\n },\n {\n \"question_id\": \"24631\",\n \"answer\": \"Matthias Ettrich\"\n },\n {\n \"question_id\": \"24632\",\n \"answer\": \"a student\"\n },\n {\n \"question_id\": \"24633\",\n \"answer\": \"Eberhard Karls University\"\n },\n {\n \"question_id\": \"24634\",\n \"answer\": \"certain aspects of the Unix desktop\"\n },\n {\n \"question_id\": \"24635\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"24636\",\n \"answer\": \"that none of the applications looked, felt, or worked alike.\"\n },\n {\n \"question_id\": \"24637\",\n \"answer\": \"Yes!\"\n },\n {\n \"question_id\": \"24638\",\n \"answer\": \"a lot\"\n },\n {\n \"question_id\": \"24639\",\n \"answer\": \"Free\"\n },\n {\n \"question_id\": \"24640\",\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 University of Minnesota, Twin Cities (often referred to as The University of Minnesota, Minnesota, the U of M, UMN, or simply the U) is a public research university in Minneapolis and Saint Paul, Minnesota. The Minneapolis and St. Paul campuses are approximately apart, and the Saint Paul campus is actually in neighboring Falcon Heights. It is the oldest and largest campus within the University of Minnesota system and has the sixth-largest main campus student body in the United States, with 51,147 students in 2013–14. The university is the flagship institution of the University of Minnesota system, and is organized into 19 colleges and schools, with sister campuses in Crookston, Duluth, Morris, and Rochester. \n\nThe University of Minnesota is one of America's Public Ivy universities, which refers to top public universities in the United States capable of providing a collegiate experience comparable with the Ivy League. Founded in 1851, The University of Minnesota is categorized as an R1 Doctoral University with the highest research activity in the Carnegie Classification of Institutions of Higher Education. Minnesota is a member of the Association of American Universities and is ranked 14th in research activity with $881 million in research and development expenditures in the fiscal year ending June 30, 2015.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36993\": \"What school is this about\"\n },\n {\n \"36994\": \"how many students go to this school\"\n },\n {\n \"36995\": \"how many different colleges and schools does it have\"\n },\n {\n \"36996\": \"which is the oldest campus\"\n },\n {\n \"36997\": \"Is it an ivy institution\"\n },\n {\n \"36998\": \"when was it founded\"\n },\n {\n \"36999\": \"what is it categorized as\"\n },\n {\n \"37000\": \"is it ranked in the top 20 for research?\"\n },\n {\n \"37001\": \"How much is spent on research each school year\"\n },\n {\n \"37002\": \"Where is the school located\"\n },\n {\n \"37003\": \"What else is it called\"\n },\n {\n \"37004\": \"what does it place in the top 10 with largest student body\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36993\",\n \"answer\": \"The University of Minnesota\"\n },\n {\n \"question_id\": \"36994\",\n \"answer\": \"51,147\"\n },\n {\n \"question_id\": \"36995\",\n \"answer\": \"19\"\n },\n {\n \"question_id\": \"36996\",\n \"answer\": \"Saint Paul\"\n },\n {\n \"question_id\": \"36997\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36998\",\n \"answer\": \"1851\"\n },\n {\n \"question_id\": \"36999\",\n \"answer\": \"R1 Doctoral University\"\n },\n {\n \"question_id\": \"37000\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37001\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"37002\",\n \"answer\": \"Saint Paul\"\n },\n {\n \"question_id\": \"37003\",\n \"answer\": \"the U of M\"\n },\n {\n \"question_id\": \"37004\",\n \"answer\": \"sixth-largest\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Andy Carroll scored twice, his first goals for Liverpool, to help his club comfortably defeat Manchester City 3-0 in Monday's Premier League encounter at Anfield. \n\nCity, who needed a victory to move above Chelsea into third place in the table, were blown away by a devastating first half performance from Liverpool, who have consolidated sixth position with this result. \n\nLiverpool began brightly and nearly took a seventh-minute lead when Luis Suarez's fine strike was tipped onto the post by City's England goalkeeper Joe Hart. \n\nBut the visiting defense was struggling to cope with Liverpool's wave of attacks and the hosts took a deserved lead six minutes later when Carroll's superbly struck left-footed strike, from just outside the area, swerved past Hart for his first goal since joining the club for a British record transfer fee in January. \n\nLiverpool doubled their lead in the 34th minute when City failed to clear a succession of crosses and blocked shots, the ball eventually falling to the feet of Dirk Kuyt who fired through the legs of defender Alexander Kolarov and past Hart. \n\nLiverpool made it 3-0 a minute later when Raul Meireles curled in an inviting cross from the left for Carroll to outjump Kolarov and help the ball into the far corner of the net. \n\nLiverpool had chances to increase their lead after the break but Hart did well to keep out efforts from Meireles and Kuyt, while Suarez fired wide from an acute angle and Carroll headed over the crossbar from a good position. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38436\": \"Who was playing in the game?\"\n },\n {\n \"38437\": \"who was playing against them?\"\n },\n {\n \"38438\": \"What was the score?\"\n },\n {\n \"38439\": \"When was the game?\"\n },\n {\n \"38440\": \"What league are they in?\"\n },\n {\n \"38441\": \"Is liverpool leading in the rankings?\"\n },\n {\n \"38442\": \"Were all the goals scored by different people?\"\n },\n {\n \"38443\": \"Who had the most goals?\"\n },\n {\n \"38444\": \"Had he scored for his team before?\"\n },\n {\n \"38445\": \"When did they double their score?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38436\",\n \"answer\": \"the team from Liverpool\"\n },\n {\n \"question_id\": \"38437\",\n \"answer\": \"Manchester City\"\n },\n {\n \"question_id\": \"38438\",\n \"answer\": \"3-0\"\n },\n {\n \"question_id\": \"38439\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"38440\",\n \"answer\": \"Premier League\"\n },\n {\n \"question_id\": \"38441\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"38442\",\n \"answer\": \"2 people scored\"\n },\n {\n \"question_id\": \"38443\",\n \"answer\": \"Andy Carroll\"\n },\n {\n \"question_id\": \"38444\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"38445\",\n \"answer\": \"34th minute\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Serena Williams will return to competitive tennis after nearly a year on the sidelines in the WTA tournament at Eastbourne, which starts Saturday. \n\nThe former world number one has endured a torrid time since being sidelined with a foot injury after winning her fourth Wimbledon crown last July. \n\nSeveral aborted attempts at a comeback were followed by a major health scare in February as she suffered a blood clot on her lung. \n\nIt led to speculation that her glittering career could be over, but Williams has recovered to take her place as a wild card in the grass court event at the south coast of England resort. \n\n\"I am so excited to be healthy enough to compete again,\" she told the tournament's official website. \n\n\"These past twelve months have been extremely tough and character building. I have so much to be grateful for. I'm thankful to my family, friends, and fans for all of their support. Serena's back!\" \n\nSerena will be joined in the traditional pre-Wimbledon warm-up tournament by her older sister Venus, who is also returning to action after an extended injury layoff. \n\nVenus has been sidelined since injuring her hip at the Australian Open in January. \n\nThey will take their place in a top-class line-up which has 13 of the top 20 players in the WTA world rankings, including new French Open champion Li Na of China. \n\n13-time grand slam champion Serena returned to practice in April, but decided against returning for the second grand slam season of the season in Paris. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96293\": \"Who was injured in January?\"\n },\n {\n \"96294\": \"Who is her sister?\"\n },\n {\n \"96295\": \"How many championships does she have?\"\n },\n {\n \"96296\": \"How many Wimbledon wins does she have?\"\n },\n {\n \"96297\": \"Was she injured?\"\n },\n {\n \"96298\": \"When?\"\n },\n {\n \"96299\": \"Was she healthy after that?\"\n },\n {\n \"96300\": \"What was the issue?\"\n },\n {\n \"96301\": \"What was her sisters injury?\"\n },\n {\n \"96302\": \"When is the new tournament?\"\n },\n {\n \"96303\": \"Where?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96293\",\n \"answer\": \"Venus\"\n },\n {\n \"question_id\": \"96294\",\n \"answer\": \"Serena\"\n },\n {\n \"question_id\": \"96295\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"96296\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"96297\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96298\",\n \"answer\": \"July\"\n },\n {\n \"question_id\": \"96299\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"96300\",\n \"answer\": \"a blood clot\"\n },\n {\n \"question_id\": \"96301\",\n \"answer\": \"her hip\"\n },\n {\n \"question_id\": \"96302\",\n \"answer\": \"Saturday.\"\n },\n {\n \"question_id\": \"96303\",\n \"answer\": \"Eastbourne\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Zoe Chambers was a successful PR(Public Relations) consultant and life was going well -- she had a great job, beautiful flat and a busy social life in London. Then one evening in June last year, she received a text message telling her she was out of work. \"The first two weeks were the most difficult to live through.\" she said. \"After everything I'd done for the company, they dismissed me by text! I was so angry and I just didn't feel like looking for another job. I hate everything about the city and my life.\" \n\nThen, Zoe received an invitation from an old school friend, Kathy, to come and stay. Kathy and her husband, Huw, had just bought a farm in north-west Wales. Zoe jumped at the chance to spend a weekend away from London, and now, ten months later she is still on the farm. \n\n\"The moment I arrived at Kathy's farm, I loved it and I knew I wanted to stay.\" said Zoe. \"Everything about my past life suddenly seemed meaningless.\" \n\nZoe has been working on the farm since October of last year and says she has no regrets. \"It's a hard life, physically very tiring.\" she says. \"In London 1 was stressed and often mentally exhausted. But this is a good, healthy tiredness. Here, all I need to put me in a good mood is a hot bath and one of Kathy's wonderful dinners.\" \n\nZoe says she has never felt bored on the farm. Every day brings a new experience. Kathy has been teaching her how to ride a horse and she has learnt to drive a tractor. Since Christmas, she has been helping with the lambing -- watching a lamb being born is unbelievable, she says, \"It's one of the most moving experiences I've ever had. I could never go back to city life now.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73873\": \"Who was fired?\"\n },\n {\n \"73874\": \"Where did she work?\"\n },\n {\n \"73875\": \"Where?\"\n },\n {\n \"73876\": \"Was it easy?\"\n },\n {\n \"73877\": \"How did she feel in the big town?\"\n },\n {\n \"73878\": \"Was it a healthy life?\"\n },\n {\n \"73879\": \"Who invited her to visit?\"\n },\n {\n \"73880\": \"Where did she live?\"\n },\n {\n \"73881\": \"Did she remain a short time?\"\n },\n {\n \"73882\": \"Why did she remain?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73873\",\n \"answer\": \"Zoe Chambers\"\n },\n {\n \"question_id\": \"73874\",\n \"answer\": \"PR(Public Relations) consultant\"\n },\n {\n \"question_id\": \"73875\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"73876\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73877\",\n \"answer\": \"busy\"\n },\n {\n \"question_id\": \"73878\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"73879\",\n \"answer\": \"Kathy\"\n },\n {\n \"question_id\": \"73880\",\n \"answer\": \"a farm in north-west Wales\"\n },\n {\n \"question_id\": \"73881\",\n \"answer\": \"ten months later she is still on the farm\"\n },\n {\n \"question_id\": \"73882\",\n \"answer\": \"she has never felt bored on the farm\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 There is no doubt that Apple is well aware of the increased competition in the market and could be in a hurry to put another device out there, said Ramon Llamas, senior research analyst at IDC Mobile Devices Technology and Trends. Given its history with product launches and business policy, though, Apple probably isn't going to rush an iPhone release simply to put it on shelves, he said. \n\n\"If you're Tim Cook (CEO of Apple), you're thinking if you want to pay more attention to how to keep growing that bottom line and keep investors happy, or continue with the same approach from Apple, which is do what we can do and manage products and releases in the best way they can work for us. Apple usually does things in their own time ,and I'm having a hard time buying this May or June timeline.\" Llamas told Mac News World. \n\nWhile it,s probable that Apple is definitely in a testing stage for its next smartphone , consumers likely have a standard wait for the finished product, said Colin Gibbs, analyst at GigaOm Pro. \n\n\"It typically takes a year or longer to create a state-of-the-art smartphone, so no one should be surprised Apple is in the testing stages with the next iPhone. And while it's possible that Apple could launch the next iPhone this spring or summer, I'm not expecting to see it until a little later in the year,\" he told Mac News World. \n\nWhen it does launch, though, it could be in a variety of colors, said Gibbs. \"Apple has already tested the waters with releasing colored devices when it revamped(,)its iPod line last fall, so it's not too much of a stretch to believe it would want the new twist with its smartphone, as well\". \n\n\"I wouldn't be surprised if the new iPhone becomes available in some new colors,'' he said. \"That could be done pretty cheaply ,and it would give Apple a new marketing angle.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63465\": \"Who is Tim Cook?\"\n },\n {\n \"63466\": \"What should you think if you were him?\"\n },\n {\n \"63467\": \"How long does it take to make a great smartphone?\"\n },\n {\n \"63468\": \"Is Apple testing the next iPhone?\"\n },\n {\n \"63469\": \"When could it hit the market?\"\n },\n {\n \"63470\": \"Will it only be in one color?\"\n },\n {\n \"63471\": \"Are they aware of the competition out there?\"\n },\n {\n \"63472\": \"Who is Ronald llamas?\"\n },\n {\n \"63473\": \"Does he think Apple will rush the iPhone release?\"\n },\n {\n \"63474\": \"What does Colin Gibbs say about waiting for the release?\"\n },\n {\n \"63475\": \"Who is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63465\",\n \"answer\": \"CEO of Apple\"\n },\n {\n \"question_id\": \"63466\",\n \"answer\": \"you're thinking if you want to pay more attention to how to keep growing that bottom line and keep investors happy\"\n },\n {\n \"question_id\": \"63467\",\n \"answer\": \"a year or longer\"\n },\n {\n \"question_id\": \"63468\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63469\",\n \"answer\": \"later in the year\"\n },\n {\n \"question_id\": \"63470\",\n \"answer\": \"it could be in a variety of colors\"\n },\n {\n \"question_id\": \"63471\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"63472\",\n \"answer\": \"senior research analyst at IDC Mobile Devices Technology and Trends\"\n },\n {\n \"question_id\": \"63473\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63474\",\n \"answer\": \"consumers likely have a standard wait\"\n },\n {\n \"question_id\": \"63475\",\n \"answer\": \"an analyst at GigaOm Pro\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Tom and Mike were good friends. Sometimes they were kind to each other, sometimes they were not. But all of their classmates said they were like brothers. One day they went out for a walk together. At noon they were very hungry and they went into a restaurant to have lunch. The waiter came up to them and asked,\"What can I do for you?\" \"Please bring us two apples first.\" said Tom. When the waiter put two apples on the table, Mike took the bigger one at once. Tom got angry, \"You are impolite,Mike. Why don't you take the smaller one?\" Tom said. \"But I am right.\"said Mike with a smile,\"if I let you take first, which one will you choose?\" \"Of course I'11 take the smaller one. \"said Tom. \"Yes.\"Mike said,\"If you take the smaller one,the bigger one will still be mine. Don't you think so?\" \"Oh!\"Tom couldn't answer.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31337\": \"Who is Tom's good friend?\"\n },\n {\n \"31338\": \"When are they kind to one another?\"\n },\n {\n \"31339\": \"when did they get hungry?\"\n },\n {\n \"31340\": \"Where did they have lunch/\"\n },\n {\n \"31341\": \"who went over to them?\"\n },\n {\n \"31342\": \"who took the little apple?\"\n },\n {\n \"31343\": \"Who is impolite?\"\n },\n {\n \"31344\": \"What did they ask the waiter for?\"\n },\n {\n \"31345\": \"who took the big apple?\"\n },\n {\n \"31346\": \"who got angry?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31337\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"31338\",\n \"answer\": \"Sometimes\"\n },\n {\n \"question_id\": \"31339\",\n \"answer\": \"Noon\"\n },\n {\n \"question_id\": \"31340\",\n \"answer\": \"a restaurant\"\n },\n {\n \"question_id\": \"31341\",\n \"answer\": \"The waiter\"\n },\n {\n \"question_id\": \"31342\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"31343\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"31344\",\n \"answer\": \"two apples\"\n },\n {\n \"question_id\": \"31345\",\n \"answer\": \"Mike\"\n },\n {\n \"question_id\": \"31346\",\n \"answer\": \"Tom\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Cassatt was born in Pennsylvania in 1844. When she was seven, her family moved to Europe. They wanted their children to understand European ways and the people who lived there. They travelled a lot and she had visited many countries by the time she was 10 years old. After four years they returned to America. \n\nIn those days, women didn't have professions, and there were very few women artists. Her family did not approve when she decided that she would become an artist. She studied first in Philadelphia. She happened to be in Chicago in 1871 when the huge fire broke out there. She lost many of her paintings in that fire. \n\nShe went to Paris to study painting. She met Camille Pissarro there. He taught her Impressionism, a method of painting where the artists used small strokes of unmixed color1s to create an image. She once said of Pissarro that \" _ \" because he was such a good teacher. She spent a lot of time at the Louvre Museum copying paintings of the famous artists. \n\nIn 1874, her sister, Lydia, came to live with her in Paris. Lydia was her best friend and posed for many of Mary's paintings. Three years later, her parents came to Paris, also to live with them. Lydia became very ill and died from a disease. Mary missed her very much. Her parents became elderly and she cared for them, but she still found time to paint. \n\nOne of the more interesting works of Mary Cassatt is her painting, Portrait of Mrs. Curry, Sketch of Mr. Cassatt. Though she never had children of her own, she loved children and painted portraits of the children of her friends and family. She became known as the painter of mothers and children. \n\nShe lost her sight due to cataracts in her eyes in 1914 and was not able to paint during the later years of her life.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92902\": \"When was Cassatt born?\"\n },\n {\n \"92903\": \"Where was she born?\"\n },\n {\n \"92904\": \"Where did her family movie when she was seven?\"\n },\n {\n \"92905\": \"Did her family approve when she decided to become an artist?\"\n },\n {\n \"92906\": \"Why not?\"\n },\n {\n \"92907\": \"Who did she meet when in Paris studing painting?\"\n },\n {\n \"92908\": \"What did she teach her?\"\n },\n {\n \"92909\": \"Why did her family move to europe in the first place?\"\n },\n {\n \"92910\": \"Where did she study first?\"\n },\n {\n \"92911\": \"What did she become known for painting?\"\n },\n {\n \"92912\": \"What year did her family return to America?\"\n },\n {\n \"92913\": \"How is impressionism described?\"\n },\n {\n \"92914\": \"What happened in Chicago in 1871 while she was there?\"\n },\n {\n \"92915\": \"Who came to live with her in Paris in 1874?\"\n },\n {\n \"92916\": \"Did anyone else come to live with her after that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92902\",\n \"answer\": \"1844\"\n },\n {\n \"question_id\": \"92903\",\n \"answer\": \"in Pennsylvania\"\n },\n {\n \"question_id\": \"92904\",\n \"answer\": \"to Europe\"\n },\n {\n \"question_id\": \"92905\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92906\",\n \"answer\": \"In those days, women didn't have professions, and there were very few women artists\"\n },\n {\n \"question_id\": \"92907\",\n \"answer\": \"Camille Pissarro\"\n },\n {\n \"question_id\": \"92908\",\n \"answer\": \"Impressionism\"\n },\n {\n \"question_id\": \"92909\",\n \"answer\": \"They wanted their children to understand European ways and the people who lived there.\"\n },\n {\n \"question_id\": \"92910\",\n \"answer\": \"Philadelphia\"\n },\n {\n \"question_id\": \"92911\",\n \"answer\": \"She became known as the painter of mothers and children\"\n },\n {\n \"question_id\": \"92912\",\n \"answer\": \"1955\"\n },\n {\n \"question_id\": \"92913\",\n \"answer\": \"a method of painting where the artists used small strokes of unmixed color1s to create an image.\"\n },\n {\n \"question_id\": \"92914\",\n \"answer\": \"A the huge fire broke out there. She lost many of her paintings in that fire.\"\n },\n {\n \"question_id\": \"92915\",\n \"answer\": \"her sister, Lydia\"\n },\n {\n \"question_id\": \"92916\",\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) -- Australia shocked Germany 2-1 in their friendly international in Moenchengladbach on Tuesday, a result that saw the Socceroos gain some revenge for their 4-0 defeat by the Germans in South Africa 2010. \n\nGermany coach Joachim Loew named a weakened side for the match -- and he was punished with the worse defeat in his four-and-a-half years in charge as Australia secured one of their greatest-ever footballing victories. \n\nThe home side looked to be on course for victory when Bayern Munich striker Mario Gomez slotted the ball home from the edge of the area in the 26th minute. \n\nBut the visitors turned things around after the interval and levelled on the hour mark when David Carney burst through the Germany defense to fire past goalkeeper Tim Wiese. \n\nAnd Australia sealed a famous win just two minutes later when Christian Traesch fouled Harry Kewell in the area and Luke Wilkshire scored from the spot. \n\nMeanwhile, a last-gasp Asamoah Gyan goal gave Ghana a 1-1 draw against England at Wembley in an end-to-end encounter. \n\nIn front of a capacity crowd that included over 20,000 Ghanaians, England took the lead when the most expensive English signing ever, Andy Carroll, fired home his first goal for his country. \n\nBut Ghana never gave up and levelled in the final minute when Gyan, who plays his club football in England for Sunderland, found space in the area to shoot past goalkeeper Joe Hart. \n\nElsewhere, in-form France were denied a seventh consecutive victory by Croatia as the teams drew 0-0 in their friendly match at the Stade de France. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82414\": \"Who beat Germany?\"\n },\n {\n \"82415\": \"In what?\"\n },\n {\n \"82416\": \"Is it called something else?\"\n },\n {\n \"82417\": \"Who is the German coach?\"\n },\n {\n \"82418\": \"What happened to him?\"\n },\n {\n \"82419\": \"How?\"\n },\n {\n \"82420\": \"Was the land down under always ahead?\"\n },\n {\n \"82421\": \"Repeat?\"\n },\n {\n \"82422\": \"Who won the game for Australia?\"\n },\n {\n \"82423\": \"What was the final score?\"\n },\n {\n \"82424\": \"Who else played that day?\"\n },\n {\n \"82425\": \"Who won?\"\n },\n {\n \"82426\": \"Why?\"\n },\n {\n \"82427\": \"Were there a lot of people in attendance?\"\n },\n {\n \"82428\": \"Did Ghana accept defeat?\"\n },\n {\n \"82429\": \"Who is Joe Hart?\"\n },\n {\n \"82430\": \"Was there another game?\"\n },\n {\n \"82431\": \"Who won that game?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82414\",\n \"answer\": \"Australia\"\n },\n {\n \"question_id\": \"82415\",\n \"answer\": \"Soccer\"\n },\n {\n \"question_id\": \"82416\",\n \"answer\": \"Footballing.\"\n },\n {\n \"question_id\": \"82417\",\n \"answer\": \"Joachim Loew\"\n },\n {\n \"question_id\": \"82418\",\n \"answer\": \"He was punished.\"\n },\n {\n \"question_id\": \"82419\",\n \"answer\": \"Defeat.\"\n },\n {\n \"question_id\": \"82420\",\n \"answer\": \"Np\"\n },\n {\n \"question_id\": \"82421\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"82422\",\n \"answer\": \"Luke Wilkshire\"\n },\n {\n \"question_id\": \"82423\",\n \"answer\": \"2-1\"\n },\n {\n \"question_id\": \"82424\",\n \"answer\": \"Ghana and England\"\n },\n {\n \"question_id\": \"82425\",\n \"answer\": \"No one.\"\n },\n {\n \"question_id\": \"82426\",\n \"answer\": \"They drawed.\"\n },\n {\n \"question_id\": \"82427\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"82428\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"82429\",\n \"answer\": \"Goalkeeper.\"\n },\n {\n \"question_id\": \"82430\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"82431\",\n \"answer\": \"No one.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER III \n\nAnd a heart at leisure from itself To soothe and sympathize.--Miss Waring \n\nRecovery had fairly set in, and 'better' was the universal bulletin, eating and drinking the prevailing remedy. \n\nHenry Ward had quickly thrown off his illness. The sense that all depended on him, acted as a stimulus to his energies; he was anxious to be up and doing, and in a few days was down-stairs, looking over his father's papers, and making arrangements. He was eager and confident, declaring that his sisters should never want a home while he lived; and, when he first entered his brother's room, his effusion of affection overwhelmed Leonard in his exceeding weakness, and the thought of which during the rest of the day often brought tears to his eyes. \n\nVery grateful to Dr. May, Henry declared himself anxious to abide by his advice; and discussed with him all his plans. There had been no will, but the house and land of course were Henry's. The other property gave about £2000 to each of the family; and Averil had about as much again from the old aunt, from whom she had taken her peculiar name. The home of all should, of course, still be their present one; Averil would teach her sisters, and superintend the house, and Leonard continue at the school, where he had a fair chance of obtaining the Randall scholarship in the course of a year or two. 'And if not,' said Henry, 'he may still not lose his University education. My father was proud of Leonard; and if he would have sent him there, why should not I?' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42650\": \"Who was grateful?\"\n },\n {\n \"42651\": \"To whom?\"\n },\n {\n \"42652\": \"Did he promise to abide by?\"\n },\n {\n \"42653\": \"Did he tell everything to to him?\"\n },\n {\n \"42654\": \"Was he in good health?\"\n },\n {\n \"42655\": \"Is he recovering now?\"\n },\n {\n \"42656\": \"Is he trying hard to get back his health?\"\n },\n {\n \"42657\": \"Is he able to take the staircase now?\"\n },\n {\n \"42658\": \"What did he look over down-stairs?\"\n },\n {\n \"42659\": \"Who was his brother?\"\n },\n {\n \"42660\": \"Where did he go to meet him?\"\n },\n {\n \"42661\": \"How was his brother's reaction to that?\"\n },\n {\n \"42662\": \"Did he fondly remember that afterwards?\"\n },\n {\n \"42663\": \"Was there a will for the house?\"\n },\n {\n \"42664\": \"They belonged to whom?\"\n },\n {\n \"42665\": \"What was the income from other property?\"\n },\n {\n \"42666\": \"Who was giving money to Averil?\"\n },\n {\n \"42667\": \"What was the approximate amount?\"\n },\n {\n \"42668\": \"Who will continue schooling?\"\n },\n {\n \"42669\": \"Is Henry planning to take care of that expense?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42650\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"42651\",\n \"answer\": \"Dr. May\"\n },\n {\n \"question_id\": \"42652\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42653\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42654\",\n \"answer\": \"He has been sick.\"\n },\n {\n \"question_id\": \"42655\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42656\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42657\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"42658\",\n \"answer\": \"His father's papers\"\n },\n {\n \"question_id\": \"42659\",\n \"answer\": \"Leonard\"\n },\n {\n \"question_id\": \"42660\",\n \"answer\": \"His brother's room\"\n },\n {\n \"question_id\": \"42661\",\n \"answer\": \"Overwhelmed him.\"\n },\n {\n \"question_id\": \"42662\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"42663\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"42664\",\n \"answer\": \"Henry\"\n },\n {\n \"question_id\": \"42665\",\n \"answer\": \"\\u00a32000\"\n },\n {\n \"question_id\": \"42666\",\n \"answer\": \"Her old aunt\"\n },\n {\n \"question_id\": \"42667\",\n \"answer\": \"\\u00a32000\"\n },\n {\n \"question_id\": \"42668\",\n \"answer\": \"Leonard.\"\n },\n {\n \"question_id\": \"42669\",\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 Shelly wanted a puppy. She asked her mommy and daddy every day for one. She told them that she would help take care of the puppy, if she could have one. Her mommy and daddy talked it over and said that they would get Shelly a new puppy. \n\nHer mommy took her to the dog pound so that she could choose one that she wanted. All the puppies at the dog pound need a loving home. \n\nShelly went to every cage and looked each puppy in the eyes and talked to each one. After each one, she told her mommy, \"No, this isn't the one for me.\" \n\nFinally, she saw a black and white spotted one that she fell in love with. She screamed, \"Mommy, this is the one!\" Her mommy asked the worker to take the puppy out so that Shelly could make sure. Shelly and the puppy fell in love with each other right away. \n\nShelly and her mommy took the black and white spotted puppy home with them. Shelly was so excited that she talked all the way home. After thinking hard, Shelly had a name for her new puppy, Spot. \n\nNow, Shelly has a new best friend and they play together every day when Shelly gets home from school.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1526\": \"What was she wanting?\"\n },\n {\n \"1527\": \"Who was she asking for one?\"\n },\n {\n \"1528\": \"and how often was she asking them for it?\"\n },\n {\n \"1529\": \"What was she promising to do if she got it?\"\n },\n {\n \"1530\": \"Did they decide to get her one?\"\n },\n {\n \"1531\": \"Where did they go to get one?\"\n },\n {\n \"1532\": \"What did the animals there need?\"\n },\n {\n \"1533\": \"What color was the one she really liked?\"\n },\n {\n \"1534\": \"How did she let her mother know she liked this one?\"\n },\n {\n \"1535\": \"Did she and the animal like each other?\"\n },\n {\n \"1536\": \"Where did they take the animal?\"\n },\n {\n \"1537\": \"What did she do on her way to her house?\"\n },\n {\n \"1538\": \"What did she name her new pet?\"\n },\n {\n \"1539\": \"How often does she engage with it?\"\n },\n {\n \"1540\": \"WHen does she engage with it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1526\",\n \"answer\": \"a puppy\"\n },\n {\n \"question_id\": \"1527\",\n \"answer\": \"her mommy and daddy\"\n },\n {\n \"question_id\": \"1528\",\n \"answer\": \"every day\"\n },\n {\n \"question_id\": \"1529\",\n \"answer\": \"she would help take care of it\"\n },\n {\n \"question_id\": \"1530\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1531\",\n \"answer\": \"the dog pound\"\n },\n {\n \"question_id\": \"1532\",\n \"answer\": \"a loving home.\"\n },\n {\n \"question_id\": \"1533\",\n \"answer\": \"black and white spotted\"\n },\n {\n \"question_id\": \"1534\",\n \"answer\": \"She screamed,\"\n },\n {\n \"question_id\": \"1535\",\n \"answer\": \"yes!\"\n },\n {\n \"question_id\": \"1536\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"1537\",\n \"answer\": \"talked\"\n },\n {\n \"question_id\": \"1538\",\n \"answer\": \"Spot\"\n },\n {\n \"question_id\": \"1539\",\n \"answer\": \"everyday\"\n },\n {\n \"question_id\": \"1540\",\n \"answer\": \"when she got home from school.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIX \n\nDAYS OF ANXIETY \n\n\"I wonder what Davenport will say when he finds those men are working here?\" remarked Fred. \n\n\"I don't care what he says,\" answered Jack. \n\n\"Do you think he'll dare come over here and have it out with Uncle Dick?\" questioned Andy. \n\n\"I don't think so,\" answered his brother. \"I believe behind it all he is afraid we'll have him arrested for the theft of those documents.\" \n\n\"If he really took them, what do you think he did with them?\" came from Fred. \n\n\"More than likely he destroyed them,\" answered Jack. \"He wouldn't want evidence like that lying around loose, you know.\" \n\nWhen Carson Davenport learned that six of his men had deserted and gone over to the Rovers he was more angry than ever. \n\n\"They're going to do their best to undermine us,\" he said to Tate. \"I wish I knew just how to get square with them.\" \n\n\"We'll get square enough if we strike oil here,\" said Tate. \"Those Rovers will feel sick enough if they learn we are making a barrel of money.\" \n\n\"It's easy enough to talk about making a barrel of money,\" came from Jackson, who was present. \"But I don't see the money flowing in very fast.\" He had been talking to a number of his friends, and many of them had said they thought the chances of getting oil from the Spell claim were very slim. \n\n\"Oh, you just hold your horses, Jackson,\" said Carson Davenport smoothly. \"Take my word for it, this well we are putting down is going to be one of the biggest in this territory.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"73197\": \"What item do the men think will make them rich?\"\n },\n {\n \"73198\": \"Does Andy have any relatives in the group he is talking to?\"\n },\n {\n \"73199\": \"How is this person related to him?\"\n },\n {\n \"73200\": \"Is Carson Davenport happy with recent events?\"\n },\n {\n \"73201\": \"Do the people speaking think that the Rovers will be happy if the speakers have good fortune?\"\n },\n {\n \"73202\": \"Is Carson Davenport hopeful about their chance of success?\"\n },\n {\n \"73203\": \"Are the speakers hoping that the Rovers will be successful?\"\n },\n {\n \"73204\": \"Do the other friends of Jackson believe that Jackson will be successful?\"\n },\n {\n \"73205\": \"Was something stolen?\"\n },\n {\n \"73206\": \"What do the speakers believe has happened to them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"73197\",\n \"answer\": \"oil\"\n },\n {\n \"question_id\": \"73198\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73199\",\n \"answer\": \"his Uncle\"\n },\n {\n \"question_id\": \"73200\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73201\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73202\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"73203\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73204\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"73205\",\n \"answer\": \"documents.\\\"\"\n },\n {\n \"question_id\": \"73206\",\n \"answer\": \"he destroyed them,\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Austria-Hungary, often referred to as the Austro-Hungarian Empire or the Dual Monarchy in English-language sources, was a constitutional union of the Austrian Empire (the Kingdoms and Lands Represented in the Imperial Council, or \"Cisleithania\") and the Kingdom of Hungary (Lands of the Crown of Saint Stephen or \"Transleithania\") that existed from 1867 to 1918, when it collapsed as a result of defeat in World War I. The union was a result of the Austro-Hungarian Compromise of 1867 and came into existence on 30 March 1867. Austria-Hungary consisted of two monarchies (Austria and Hungary), and one autonomous region: the Kingdom of Croatia-Slavonia under the Hungarian crown, which negotiated the Croatian–Hungarian Settlement (\"Nagodba\") in 1868. It was ruled by the House of Habsburg, and constituted the last phase in the constitutional evolution of the Habsburg Monarchy. Following the 1867 reforms, the Austrian and the Hungarian states were co-equal. Foreign affairs and the military came under joint oversight, but all other governmental faculties were divided between respective states. \n\nAustria-Hungary was a multinational state and one of the world's great powers at the time. Austria-Hungary was geographically the second-largest country in Europe after the Russian Empire, at , and the third-most populous (after Russia and the German Empire). The Empire built up the fourth-largest machine building industry of the world, after the United States, Germany, and the United Kingdom. Austria-Hungary also became the world's third largest manufacturer and exporter of electric home appliances, electric industrial appliances and power generation apparatus for power plants, after the United States and the German Empire.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"38432\": \"What is the 2nd largest European nation in size?\"\n },\n {\n \"38433\": \"After which empire?\"\n },\n {\n \"38434\": \"How does it rank population wise?\"\n },\n {\n \"38435\": \"Which nations have more people?\"\n },\n {\n \"38436\": \"How does it rank in machine factories?\"\n },\n {\n \"38437\": \"Who beats it?\"\n },\n {\n \"38438\": \"Does another nation manufacture more household appliances?\"\n },\n {\n \"38439\": \"Which ones?\"\n },\n {\n \"38440\": \"Which empire is the article about?\"\n },\n {\n \"38441\": \"Does it have another name?\"\n },\n {\n \"38442\": \"What type of union is it?\"\n },\n {\n \"38443\": \"Of what?\"\n },\n {\n \"38444\": \"How many years did it exist?\"\n },\n {\n \"38445\": \"What caused its downfall?\"\n },\n {\n \"38446\": \"Which compromise brought it into being?\"\n },\n {\n \"38447\": \"How many kingdoms were involved?\"\n },\n {\n \"38448\": \"And their names?\"\n },\n {\n \"38449\": \"Were the 2 states equal?\"\n },\n {\n \"38450\": \"When did this happen?\"\n },\n {\n \"38451\": \"What is Transleithania\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"38432\",\n \"answer\": \"Austria-Hungary\"\n },\n {\n \"question_id\": \"38433\",\n \"answer\": \"Russia and the German Empire\"\n },\n {\n \"question_id\": \"38434\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"38435\",\n \"answer\": \"Russia and the German Empire\"\n },\n {\n \"question_id\": \"38436\",\n \"answer\": \"fourth-largest\"\n },\n {\n \"question_id\": \"38437\",\n \"answer\": \"United States, Germany, and the United Kingdom\"\n },\n {\n \"question_id\": \"38438\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38439\",\n \"answer\": \"United States and the German Empire\"\n },\n {\n \"question_id\": \"38440\",\n \"answer\": \"Austro-Hungarian Empire\"\n },\n {\n \"question_id\": \"38441\",\n \"answer\": \"the Dual Monarchy\"\n },\n {\n \"question_id\": \"38442\",\n \"answer\": \"constitutional\"\n },\n {\n \"question_id\": \"38443\",\n \"answer\": \"of the Austrian Empire\"\n },\n {\n \"question_id\": \"38444\",\n \"answer\": \"51\"\n },\n {\n \"question_id\": \"38445\",\n \"answer\": \"defeat in World War I\"\n },\n {\n \"question_id\": \"38446\",\n \"answer\": \"Austro-Hungarian Compromise\"\n },\n {\n \"question_id\": \"38447\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"38448\",\n \"answer\": \"the Kingdom of Croatia-Slavonia\"\n },\n {\n \"question_id\": \"38449\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"38450\",\n \"answer\": \"Following the 1867 reforms\"\n },\n {\n \"question_id\": \"38451\",\n \"answer\": \"the Kingdom of Hungary\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Bantu languages (), technically the Narrow Bantu languages as opposed to \"Wide Bantu\", a loosely defined categorization which includes other Bantoid languages, constitute a traditional branch of the Niger–Congo languages. There are about 250 Bantu languages by the criterion of mutual intelligibility, though the distinction between language and dialect is often unclear, and \"Ethnologue\" counts 535 languages. Bantu languages are spoken largely east and south of present-day Cameroon, that is, in the regions commonly known as Central Africa, Southeast Africa, and Southern Africa. Parts of the Bantu area include languages from other language families (see map). \n\nEstimates of number of speakers of most languages vary widely, due both to the lack of accurate statistics in most developing countries and the difficulty in defining exactly where the boundaries of a language lie, particularly in the presence of a dialect continuum. \n\nThe Bantu language with the largest total number of speakers is Swahili; however, the majority of its speakers know it as a second language. According to Ethnologue, there are over 180 million second-language (L2) speakers, but only about 2 million native speakers. \n\nOther major languages include Zulu with 27 million speakers (15.7 million L2) and Shona with about 11 million speakers (if Manyika and Ndau are included). Ethnologue separates the largely mutually intelligible Kinyarwanda and Kirundi, which, if grouped together, have 12.4 million speakers.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"39749\": \"How many Bantu languages are there using criteria of mutual intelligibility?\"\n },\n {\n \"39750\": \"what about using \\\"Ethnologue\\\" criteria?\"\n },\n {\n \"39751\": \"Which Bantu language has the most speakers?\"\n },\n {\n \"39752\": \"Do most Swahili speakers learn it as a first language?\"\n },\n {\n \"39753\": \"How many native Swahili speakers are there?\"\n },\n {\n \"39754\": \"What other major Bantu language is there?\"\n },\n {\n \"39755\": \"How many Zulu speakers are there?\"\n },\n {\n \"39756\": \"How many learned Zulu as a second language?\"\n },\n {\n \"39757\": \"Is there another major Zulu language?\"\n },\n {\n \"39758\": \"What does Wide Bantu mean?\"\n },\n {\n \"39759\": \"Where are Bantu languages spoken?\"\n },\n {\n \"39760\": \"Do parts of Bantu areas include languages from other families?\"\n },\n {\n \"39761\": \"Is it easy to determine the exact boundaries of a language?\"\n },\n {\n \"39762\": \"Which language has about 11 million speakers?\"\n },\n {\n \"39763\": \"What separates Kinyarwanda and Kirundi?\"\n },\n {\n \"39764\": \"How many speakers do they have if grouped together?\"\n },\n {\n \"39765\": \"Is Bantu a traditional branch of Niger-Congo languages?\"\n },\n {\n \"39766\": \"Are there accurate statistics of language speakers in developing countries?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"39749\",\n \"answer\": \"about 250\"\n },\n {\n \"question_id\": \"39750\",\n \"answer\": \"535\"\n },\n {\n \"question_id\": \"39751\",\n \"answer\": \"Swahili\"\n },\n {\n \"question_id\": \"39752\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39753\",\n \"answer\": \"2 million\"\n },\n {\n \"question_id\": \"39754\",\n \"answer\": \"Zulu\"\n },\n {\n \"question_id\": \"39755\",\n \"answer\": \"27 million\"\n },\n {\n \"question_id\": \"39756\",\n \"answer\": \"15.7 million\"\n },\n {\n \"question_id\": \"39757\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39758\",\n \"answer\": \"a loosely defined categorization which includes other Bantoid languages\"\n },\n {\n \"question_id\": \"39759\",\n \"answer\": \"east and south of present-day Cameroon\"\n },\n {\n \"question_id\": \"39760\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39761\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"39762\",\n \"answer\": \"Shona\"\n },\n {\n \"question_id\": \"39763\",\n \"answer\": \"Ethnologue\"\n },\n {\n \"question_id\": \"39764\",\n \"answer\": \"12.4 million\"\n },\n {\n \"question_id\": \"39765\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"39766\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n When Gretchen Baxter gets home from work as a New York City book editor, she checks her Blackberry at the door. 'I think we are attached to these devices in a way that is not always positive,' says Baxter,who'd rather focus at home on her husband and 12-year-old daughter. 'It's there and it beckons . That's human nature (but)...we kind of get crazy sometimes and we don't know where it should stop.' \n\nAmericans are connected at unprecedented levels93% now use cell phones or wireless devices;one third of those are 'smart phones' that allow users to browse the Web and check e-mail,among other things. The benefits are obvious: checking messages on the road,staying in touch with friends and family,efficiently using time once spent waiting around. The downside:often,we're effectively disconnecting from those in the same room. \n\nThat's why,despite all the technology that makes communicating easier than ever,2010 was the Year We Stopped Talking to One Another. From texting at dinner to posting on Facebook from work or checking e-mail while on a date,the connectivity revolution is creating a lot of divided attention,not to mention social anxiety. Many analysts say it's time to step back and reassess. \n\n'What we're going to see in the future is new opportunities for people to be plugged in and connected like never before,' says Scott Campbell. 'It can be a good thing,but I also see new ways the traditional social fabric is getting somewhat torn apart.' \n\nOur days are filled with beeps and pings*----many of which pull us away from tasks at hand or face-to-face conversations. We may feel that the distractions are too much,but we can't seem to stop posting,texting or surfing. \n\n'We're going through a period of adjustment and rebalancing,' says Sherry Turkle and she wants to remind people that technology can be turned off. \n\n'Our human purposes are to really have connections with people,' she says. 'We have to reclaim it. It's not going to take place by itself.'\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96137\": \"Where does Gretchen work?\"\n },\n {\n \"96138\": \"What does she do?\"\n },\n {\n \"96139\": \"Does she have an iPhone?\"\n },\n {\n \"96140\": \"What kind of phone does she have?\"\n },\n {\n \"96141\": \"Does she use it at home?\"\n },\n {\n \"96142\": \"What does she focus on instead?\"\n },\n {\n \"96143\": \"How many people use cell phones?\"\n },\n {\n \"96144\": \"How many of those are smartphones?\"\n },\n {\n \"96145\": \"Is there a downside to being connected?\"\n },\n {\n \"96146\": \"Does this effect face to face conversations?\"\n },\n {\n \"96147\": \"How?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96137\",\n \"answer\": \"New York City\"\n },\n {\n \"question_id\": \"96138\",\n \"answer\": \"she's an editor\"\n },\n {\n \"question_id\": \"96139\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96140\",\n \"answer\": \"a Blackberry\"\n },\n {\n \"question_id\": \"96141\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96142\",\n \"answer\": \"her husband and 12-year-old daughter\"\n },\n {\n \"question_id\": \"96143\",\n \"answer\": \"93%\"\n },\n {\n \"question_id\": \"96144\",\n \"answer\": \"one third\"\n },\n {\n \"question_id\": \"96145\",\n \"answer\": \"we're effectively disconnecting from those in the same room\"\n },\n {\n \"question_id\": \"96146\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96147\",\n \"answer\": \"Our days are filled with beeps and pings\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Do you want to know something about children in Africa? What to they do for fun every day? Find out here: Education School is expensive for many African children. Lots of families can't afford school uniforms or exercise books even though they don't have to pay for school. For those lucky enough to go to school , they have a lot to learn. Some take two language classes: English or French, and their first language. There is also math, science, history, social studies and geography. _ take up much of children's time after school. They have to get water and firewood for the family every day. Also there's cleaning , washing and helping Mum with the meal. Daily fun It's not all work and no play. Sports are very popular. Children can make goals with twigs ( )and their own footballs with plastic and bits of string ( ). They play in the country and the streets of old towns. There're many football teams for teenagers in Africa. Internet It's really expensive to get on the Internet. To surf the net for 20 hours costs over 600yuan. This is more than the average monthly pay per person. Egypt and South Africa are the top two users of the Internet in Africa. All of the capital cities there can get on the Internet. Some schools offer computer lessons but few students can enjoy computer fun at home.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"61544\": \"how many subjects are offered in school?\"\n },\n {\n \"61545\": \"what are they?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"61544\",\n \"answer\": \"8 are mentioned\"\n },\n {\n \"question_id\": \"61545\",\n \"answer\": \"English or French, their first langauge, math, science, history, social studies and geography\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXI \n\nTHE LAST AFTERNOON \n\nIt was a bright day when Lisle took his leave of the Marples. They gave him a friendly farewell and when he turned away Bella Crestwick walked with him down the drive. \n\n\"I don't care what they think; I couldn't talk to you while they were all trying to say something nice,\" she explained. \"Still, to do them justice, I believe they meant it. We are sorry to part with you.\" \n\n\"It's soothing to feel that,\" Lisle replied. \"In many ways, I'm sorry to go. I've no doubt you'll miss your brother after to-morrow.\" \n\n\"Yes,\" she said with unusual seriousness. \"More than once during the last two years I felt that it would be a relief to let somebody else have the responsibility of looking after him, but now that the time has come I'm sorry he's going. I can't help remembering how often I lost my temper, and the mistakes I made.\" \n\n\"You stuck to your task,\" commended Lisle. \"I dare say it was a hard one, almost beyond you now and then.\" \n\nHe knew that he was not exaggerating. She was only a year older than the wilful lad, who must at times have driven her to despair. Yet she had never faltered in her efforts to restrain and control him; and had made a greater sacrifice for his sake than Lisle suspected, though in the light of a subsequent revelation of Gladwyne's character she was thankful for this. \n\n\"Well,\" she replied, \"I suppose that one misses a load one has grown used to, and I feel very downcast. It's hardly fair to pass Jim on to you--but I can trust you to take care of him.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57224\": \"Who was leaving?\"\n },\n {\n \"57225\": \"From where?\"\n },\n {\n \"57226\": \"Was it a cloudy and dark day?\"\n },\n {\n \"57227\": \"How was it?\"\n },\n {\n \"57228\": \"Did the farewell go well?\"\n },\n {\n \"57229\": \"Who walked him to the drive?\"\n },\n {\n \"57230\": \"Why she couldn't talk to him earlier?\"\n },\n {\n \"57231\": \"Did she say they were serious about it?\"\n },\n {\n \"57232\": \"Was she sorry to see him going?\"\n },\n {\n \"57233\": \"To some extent was he sorry too?\"\n },\n {\n \"57234\": \"Did he consider her a sister?\"\n },\n {\n \"57235\": \"How long they have been looking after someone?\"\n },\n {\n \"57236\": \"Was she upset some of the times?\"\n },\n {\n \"57237\": \"And mistakes too?\"\n },\n {\n \"57238\": \"Who felt very downcast?\"\n },\n {\n \"57239\": \"Was it because she had lighter workload then?\"\n },\n {\n \"57240\": \"Who did she entrusted Jim with?\"\n },\n {\n \"57241\": \"Did she think it was fair?\"\n },\n {\n \"57242\": \"Did she think he would take good care of him?\"\n },\n {\n \"57243\": \"How Jim is related to her?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57224\",\n \"answer\": \"Lisle\"\n },\n {\n \"question_id\": \"57225\",\n \"answer\": \"the Marples'\"\n },\n {\n \"question_id\": \"57226\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57227\",\n \"answer\": \"bright\"\n },\n {\n \"question_id\": \"57228\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57229\",\n \"answer\": \"Bella\"\n },\n {\n \"question_id\": \"57230\",\n \"answer\": \"they were all trying to say something nice\"\n },\n {\n \"question_id\": \"57231\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57232\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57233\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57234\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"57235\",\n \"answer\": \"two years\"\n },\n {\n \"question_id\": \"57236\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57237\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57238\",\n \"answer\": \"Bella\"\n },\n {\n \"question_id\": \"57239\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57240\",\n \"answer\": \"Lisle\"\n },\n {\n \"question_id\": \"57241\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57242\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57243\",\n \"answer\": \"her brother\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nMAUD MAKES A MEMORANDUM \n\nMy mother used to say to me: \"Never expect to find brains in a pretty girl.\" Perhaps she said it because I was not a pretty girl and she wished to encourage me. In any event, that absurd notion of the ancients that when the fairies bestow the gift of beauty on a baby they withhold all other qualities has so often been disproved that we may well disregard it. \n\nMaud Stanton was a pretty girl--indeed, a beautiful girl--but she possessed brains as well as beauty and used her intellect to advantage more often than her quiet demeanor would indicate to others than her most intimate associates. From the first she had been impressed by the notion that there was something mysterious about A. Jones and that his romantic explanation of his former life and present position was intended to hide a truth that would embarrass him, were it fully known. Therefore she had secretly observed the young man, at such times as they were together, and had treasured every careless remark he had made--every admission or assertion--and made a note of it. The boy's arrest had startled her because it was so unexpected, and her first impulse was to doubt his innocence. Later, however, she had thoroughly reviewed the notes she had made and decided he was innocent. \n\nIn the quiet of her own room, when she was supposed to be asleep, Maud got out her notebook and read therein again the review of all she had learned concerning A. Jones of Sangoa. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20238\": \"Who was good looking?\"\n },\n {\n \"20239\": \"Was she very good looking?\"\n },\n {\n \"20240\": \"What did she have along with her looks?\"\n },\n {\n \"20241\": \"Was the narrator also good looking?\"\n },\n {\n \"20242\": \"Who did Maud think was keeping a secret?\"\n },\n {\n \"20243\": \"What did she think it would to, if revealed?\"\n },\n {\n \"20244\": \"What did she do to try to uncover this secret?\"\n },\n {\n \"20245\": \"What surprised her?\"\n },\n {\n \"20246\": \"Did she initially think he might be guilty?\"\n },\n {\n \"20247\": \"What did she decide subsequently?\"\n },\n {\n \"20248\": \"Where was the man from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20238\",\n \"answer\": \"Maud Stanton\"\n },\n {\n \"question_id\": \"20239\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20240\",\n \"answer\": \"brains\"\n },\n {\n \"question_id\": \"20241\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"20242\",\n \"answer\": \"A. Jones\"\n },\n {\n \"question_id\": \"20243\",\n \"answer\": \"embarrass him,\"\n },\n {\n \"question_id\": \"20244\",\n \"answer\": \"secretly observed him\"\n },\n {\n \"question_id\": \"20245\",\n \"answer\": \"The boy's arrest\"\n },\n {\n \"question_id\": \"20246\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20247\",\n \"answer\": \".he was innocent.\"\n },\n {\n \"question_id\": \"20248\",\n \"answer\": \"Sangoa.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Wikimedia Foundation, Inc. (WMF, or simply Wikimedia) is an American non-profit and charitable organization headquartered in San Francisco, California. It is mostly known for participating in the Wikimedia movement. It owns the internet domain names of most movement projects and hosts sites like Wikipedia. The foundation was founded in 2003 by Jimmy Wales as a way to fund Wikipedia and its sister projects through non-profit means. \n\n, the foundation employs over 280 people, with annual revenues in excess of . Christophe Henner is chair of the board. Katherine Maher is the executive director since March 2016. \n\nThe Wikimedia Foundation has stated its goal is to develop and maintain open content, wiki-based projects and to provide the full contents of those projects to the public free of charge. Another main objective of the Wikimedia Foundation is political advocacy. \n\nThe Wikimedia Foundation was granted section 501(c)(3) status by the U.S. Internal Revenue Code as a public charity in 2005. Its National Taxonomy of Exempt Entities (NTEE) code is B60 (Adult, Continuing education). The foundation's by-laws declare a statement of purpose of collecting and developing educational content and to disseminate it effectively and globally. \n\nIn 2001, Jimmy Wales, an Internet entrepreneur, and Larry Sanger, an online community organizer and philosophy professor, founded Wikipedia as an Internet encyclopedia to supplement Nupedia. The project was originally funded by Bomis, Wales' for-profit business. As Wikipedia's popularity skyrocketed, revenues to fund the project stalled. Since Wikipedia was depleting Bomis' resources, Wales and Sanger thought of a charity model to fund the project. The Wikimedia Foundation was incorporated in Florida on June 20, 2003. It applied to the United States Patent and Trademark Office to trademark \"Wikipedia\" on September 14, 2004. The mark was granted registration status on January 10, 2006. Trademark protection was accorded by Japan on December 16, 2004, and, in the European Union, on January 20, 2005. There were plans to license the use of the Wikipedia trademark for some products, such as books or DVDs.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32158\": \"What organization is this about?\"\n },\n {\n \"32159\": \"Is it a for-profit organization?\"\n },\n {\n \"32160\": \"Where is its home?\"\n },\n {\n \"32161\": \"When?\"\n },\n {\n \"32162\": \"By whom?\"\n },\n {\n \"32163\": \"How many workers does it have?\"\n },\n {\n \"32164\": \"Who is the chair?\"\n },\n {\n \"32165\": \"And the executive director?\"\n },\n {\n \"32166\": \"Is it a charity?\"\n },\n {\n \"32167\": \"When was it incorporated?\"\n },\n {\n \"32168\": \"Is it popular?\"\n },\n {\n \"32169\": \"Is it trademarked?\"\n },\n {\n \"32170\": \"Who was Wikipedia's co-founder?\"\n },\n {\n \"32171\": \"Why was it created?\"\n },\n {\n \"32172\": \"Were they going to license products?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32158\",\n \"answer\": \"The Wikimedia Foundation\"\n },\n {\n \"question_id\": \"32159\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32160\",\n \"answer\": \"San Francisco\"\n },\n {\n \"question_id\": \"32161\",\n \"answer\": \"in 2003\"\n },\n {\n \"question_id\": \"32162\",\n \"answer\": \"by Jimmy Wales\"\n },\n {\n \"question_id\": \"32163\",\n \"answer\": \"280 people\"\n },\n {\n \"question_id\": \"32164\",\n \"answer\": \"Christophe Henner\"\n },\n {\n \"question_id\": \"32165\",\n \"answer\": \"Katherine Maher\"\n },\n {\n \"question_id\": \"32166\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32167\",\n \"answer\": \"June 20, 2003\"\n },\n {\n \"question_id\": \"32168\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32169\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"32170\",\n \"answer\": \"Larry Sanger\"\n },\n {\n \"question_id\": \"32171\",\n \"answer\": \"as a way to fund Wikipedia\"\n },\n {\n \"question_id\": \"32172\",\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 French and Indian War (1754–1763) was the North American theater of the worldwide Seven Years' War. The war was fought between the colonies of British America and New France, with both sides supported by military units from their parent countries of Great Britain and France, as well as Native American allies. At the start of the war, the French North American colonies had a population of roughly 60,000 European settlers, compared with 2 million in the British North American colonies. The outnumbered French particularly depended on the Indians. Long in conflict, the metropole nations declared war on each other in 1756, escalating the war from a regional affair into an intercontinental conflict. \n\nThe war was fought primarily along the frontiers between New France and the British colonies, from Virginia in the South to Nova Scotia in the North. It began with a dispute over control of the confluence of the Allegheny and Monongahela rivers, called the Forks of the Ohio, and the site of the French Fort Duquesne and present-day Pittsburgh, Pennsylvania. The dispute erupted into violence in the Battle of Jumonville Glen in May 1754, during which Virginia militiamen under the command of 22-year-old George Washington ambushed a French patrol.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"105\": \"Which war began in 1754?\"\n },\n {\n \"106\": \"Who fought in this war?\"\n },\n {\n \"107\": \"Who was initially outnumbered?\"\n },\n {\n \"108\": \"With approximately how many settlers?\"\n },\n {\n \"109\": \"In stark comparison to which other colony?\"\n },\n {\n \"110\": \"With a population of how many?\"\n },\n {\n \"111\": \"Because they were outnumbered, who did the French depend on?\"\n },\n {\n \"112\": \"Which parent companies also supported the colonies?\"\n },\n {\n \"113\": \"How did those countries lend their support?\"\n },\n {\n \"114\": \"Was the war initially a regional conflict?\"\n },\n {\n \"115\": \"What upgraded it to an intercontinental affair?\"\n },\n {\n \"116\": \"In what year?\"\n },\n {\n \"117\": \"Which state was at the southernmost range of the war's location?\"\n },\n {\n \"118\": \"And the northernmost?\"\n },\n {\n \"119\": \"Which rivers were at the heart of the conflict?\"\n },\n {\n \"120\": \"Also known as what?\"\n },\n {\n \"121\": \"What was the argument over?\"\n },\n {\n \"122\": \"Which occurred when?\"\n },\n {\n \"123\": \"Which group ambushed the French patrol?\"\n },\n {\n \"124\": \"Under whose leadership?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"105\",\n \"answer\": \"The French and Indian War\"\n },\n {\n \"question_id\": \"106\",\n \"answer\": \"the colonies of British America and New France\"\n },\n {\n \"question_id\": \"107\",\n \"answer\": \"The French\"\n },\n {\n \"question_id\": \"108\",\n \"answer\": \"60,000\"\n },\n {\n \"question_id\": \"109\",\n \"answer\": \"the British North American\"\n },\n {\n \"question_id\": \"110\",\n \"answer\": \"2 million\"\n },\n {\n \"question_id\": \"111\",\n \"answer\": \"the Indians\"\n },\n {\n \"question_id\": \"112\",\n \"answer\": \"Great Britain and France\"\n },\n {\n \"question_id\": \"113\",\n \"answer\": \"with military units\"\n },\n {\n \"question_id\": \"114\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"115\",\n \"answer\": \"the metropole nations declared war on each other\"\n },\n {\n \"question_id\": \"116\",\n \"answer\": \"1756\"\n },\n {\n \"question_id\": \"117\",\n \"answer\": \"Virginia\"\n },\n {\n \"question_id\": \"118\",\n \"answer\": \"Nova Scotia\"\n },\n {\n \"question_id\": \"119\",\n \"answer\": \"the Allegheny and Monongahela\"\n },\n {\n \"question_id\": \"120\",\n \"answer\": \"the Forks of the Ohio\"\n },\n {\n \"question_id\": \"121\",\n \"answer\": \"an ambushed a French patrol\"\n },\n {\n \"question_id\": \"122\",\n \"answer\": \"May 1754\"\n },\n {\n \"question_id\": \"123\",\n \"answer\": \"the Virginia militiamen\"\n },\n {\n \"question_id\": \"124\",\n \"answer\": \"George Washington\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Los Angeles (CNN) -- The co-author of a study on propofol addiction funded by AEG Live and used in their defense in the Michael Jackson wrongful death trial lost his medical license for writing illegal drug prescriptions, according to testimony. \n\nDr. Torin Finver was hired to help with the AEG Live study after he lost his job at a pizza parlor and took a job driving a Goodwill truck, said Dr. Paul Earley, who testified Wednesday as an expert witness for the concert promoter. \n\nFinver was \"destitute, dead broke, and I wanted to help him,\" Earley, himself a recovering heroin addict, testified. \n\nThe revelation was a bizarre twist in the trial of the billion-dollar lawsuit filed by Jackson's mother and three children, which is being heard by a Los Angeles jury. The four-month-long trial is nearing a conclusion. \n\nAEG Live lawyers will announce if they have any more witnesses to call before playing the video depositions of three more doctors on Friday. Jackson lawyers would then take several days to call rebuttal witnesses before closing arguments are heard, which is likely to happened around September 23. \n\nEarley testified that he never disclosed to AEG Live lawyers that his co-author had lost his medical license. Ironically, the company is being accused of the negligent hiring of Dr. Conrad Murray, convicted in Jackson's death because it allegedly failed to check Murray's background before hiring him. \n\nJackson lawyer Kevin Boyle also grilled Earley over his nondisclosure that he was working as a paid consultant in AEG Live's defense when he submitted the study for publication in a medical journal. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"11111\": \"What was the study about?\"\n },\n {\n \"11112\": \"Who funded it?\"\n },\n {\n \"11113\": \"What was the case about?\"\n },\n {\n \"11114\": \"Who is Dr. Torin Finver?\"\n },\n {\n \"11115\": \"Where did he worked before?\"\n },\n {\n \"11116\": \"Is Earley a Heroin addict?\"\n },\n {\n \"11117\": \"Who filed the lawsuit?\"\n },\n {\n \"11118\": \"Where was it filed?\"\n },\n {\n \"11119\": \"How long was the trail?\"\n },\n {\n \"11120\": \"Which date is the likely date of conclusion?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"11111\",\n \"answer\": \"propofol addiction\"\n },\n {\n \"question_id\": \"11112\",\n \"answer\": \"AEG Live\"\n },\n {\n \"question_id\": \"11113\",\n \"answer\": \"MJ wrongful death trial\"\n },\n {\n \"question_id\": \"11114\",\n \"answer\": \"Dr. Torin Finver was hired to help with the AEG Live study\"\n },\n {\n \"question_id\": \"11115\",\n \"answer\": \"pizza parlor\"\n },\n {\n \"question_id\": \"11116\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"11117\",\n \"answer\": \"Michael Jackon's mother and 3 kids\"\n },\n {\n \"question_id\": \"11118\",\n \"answer\": \"Los Angeles\"\n },\n {\n \"question_id\": \"11119\",\n \"answer\": \"4 months\"\n },\n {\n \"question_id\": \"11120\",\n \"answer\": \"September 23\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 90-year-old tortoise is going twice its usual speed after being equipped with a set of wheels. The animal, called Mrs T, was facing a terrible future after losing her two front legs in a mouse attack while she was sleeping in winter, but her owners glued the wheels onto her shell . \"She's going double the speed she used to,\" said the owner Jude Ryder, \"She uses her back legs to push herself along and seems quite happy.\" The 58-year-old owner was surprised when she went to check on her loved pet last month and found her front legs had been eaten in the mouse attack. The local animal doctor tried his best to save Mrs T. But he was afraid that the tortoise would not survive without being mobile. After paying PS1,000 for the treatment, Mrs Ryder turned to her son Dale for help. Dale designed the front wheels and used resin to add them to the front of the shell. Mrs Ryder said: \"She liked them immediately, but she must learn how to turn and stop. She can get a good speed up, much faster than before. Mrs T is still quite young for a tortoise. She could go on for another 50 years. All she needs is a new set of tyres sometimes.\" When Mrs T was sixty years old, she was bought as a pet for Dale, an 8-year-old boy. It liked running happily in Mrs Ryder's garden in spring and summer. When winter came, Mrs T slept in the garden shelter. A mouse got in last month and chewed off both her front legs. Mrs Ryder said: \"We were afraid she would be sure to die, but her new set of wheels have saved her life. She can run in the garden again and we can always find her because she leaves very strange footprints behind wherever she goes.\" Mice attacking tortoises is not uncommon around us--in 2013 Britain's oldest tortoise died after a mouse attack. The tortoise called Thomas was 130 when he was bitten at his home in Guernsey. He spent five days on strong antibiotics , but the wound became so infected that his owner had no choice but to have him put to sleep.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"67032\": \"What is the tortoise's name?\"\n },\n {\n \"67033\": \"How old is she?\"\n },\n {\n \"67034\": \"What happened to her?\"\n },\n {\n \"67035\": \"how?\"\n },\n {\n \"67036\": \"Are mouse attacks common for tortoises?\"\n },\n {\n \"67037\": \"Did she have an owner?\"\n },\n {\n \"67038\": \"who owned her?\"\n },\n {\n \"67039\": \"What happened after the attack was discovered?\"\n },\n {\n \"67040\": \"Did they take her to the vet?\"\n },\n {\n \"67041\": \"Did the vet design the tires?\"\n },\n {\n \"67042\": \"Who did?\"\n },\n {\n \"67043\": \"Who is that?\"\n },\n {\n \"67044\": \"How old is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"67032\",\n \"answer\": \"Mrs T\"\n },\n {\n \"question_id\": \"67033\",\n \"answer\": \"90\"\n },\n {\n \"question_id\": \"67034\",\n \"answer\": \"she lost her two front legs\"\n },\n {\n \"question_id\": \"67035\",\n \"answer\": \"in a mouse attack\"\n },\n {\n \"question_id\": \"67036\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"67037\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"67038\",\n \"answer\": \"Jude Ryder\"\n },\n {\n \"question_id\": \"67039\",\n \"answer\": \"her owners glued wheels onto her shell\"\n },\n {\n \"question_id\": \"67040\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"67041\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"67042\",\n \"answer\": \"Dale\"\n },\n {\n \"question_id\": \"67043\",\n \"answer\": \"her son\"\n },\n {\n \"question_id\": \"67044\",\n \"answer\": \"Eight\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mark was walking home from school one day when he noticed a boy ahead of him. He had tripped and dropped all of the books he was carrying, along with some clothes, a baseball bat and a glove. Mark knelt down and helped the boy pick up the things. Since they were going the same way, he offered to carry some things for the boy. As they walked, Mark discovered the boy's name was Bill. He loved video games, baseball and history, but he was having trouble with some of his subjects. They arrived at Bill's home first. Mark was invited in for a Coke and to watch some television. The afternoon passed pleasantly with some laughs and talk. Then Mark went home. They continued to see each other around school, had lunch together once or twice, then both graduated from junior school. Three days before graduation, Bill asked Mark if they could talk. Bill reminded Mark of the day years ago when they had first met. \"Did you ever wonder why I was carrying so many things home that day?\" asked Bill. \"You see, I took away all my things from school. I had stored away some of my mother's sleeping pills . I was going home to kill myself. But after we spent some time talking and laughing, I realized that if I had died, I would have missed so many good time. So you see, Mark, when you picked up those books that day, you did a lot more. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72736\": \"who walking home from school ?\"\n },\n {\n \"72737\": \"what did he notice?\"\n },\n {\n \"72738\": \"did he trip ?\"\n },\n {\n \"72739\": \"what did he drop ?\"\n },\n {\n \"72740\": \"who helped him ?\"\n },\n {\n \"72741\": \"what was the boys name ?\"\n },\n {\n \"72742\": \"how many things did he love ?\"\n },\n {\n \"72743\": \"what was he having trouble with ?\"\n },\n {\n \"72744\": \"whos home did they go to first ?\"\n },\n {\n \"72745\": \"Mark was invited in for what ?\"\n },\n {\n \"72746\": \"did mark go home ?\"\n },\n {\n \"72747\": \"what happened Three days before graduation ?\"\n },\n {\n \"72748\": \"did he want to kill himself ?\"\n },\n {\n \"72749\": \"how ?\"\n },\n {\n \"72750\": \"hom many times did they have lunch ?\"\n },\n {\n \"72751\": \"did they graduate ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72736\",\n \"answer\": \"Mark\"\n },\n {\n \"question_id\": \"72737\",\n \"answer\": \"boy ahead of him\"\n },\n {\n \"question_id\": \"72738\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72739\",\n \"answer\": \"books\"\n },\n {\n \"question_id\": \"72740\",\n \"answer\": \"Mark\"\n },\n {\n \"question_id\": \"72741\",\n \"answer\": \"Bill\"\n },\n {\n \"question_id\": \"72742\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"72743\",\n \"answer\": \"some of his subjects\"\n },\n {\n \"question_id\": \"72744\",\n \"answer\": \"Bill's\"\n },\n {\n \"question_id\": \"72745\",\n \"answer\": \"Coke and to watch some television\"\n },\n {\n \"question_id\": \"72746\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72747\",\n \"answer\": \"Bill asked Mark if they could talk\"\n },\n {\n \"question_id\": \"72748\",\n \"answer\": \"I was going home to kill myself\"\n },\n {\n \"question_id\": \"72749\",\n \"answer\": \"sleeping pills\"\n },\n {\n \"question_id\": \"72750\",\n \"answer\": \"once or twice\"\n },\n {\n \"question_id\": \"72751\",\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 XIII \n\nThe first few seconds after the entrance of the two men were monopolised by the greetings of Pamela with her brother. Fischer stood a little in the background, his eyes fixed upon Lutchester. His brain was used to emergencies, but he found himself here confronted by an unanswerable problem. \n\n\"Say, this is Mr. Lutchester, isn't it?\" he inquired, holding out his hand. \n\n\"The same,\" Lutchester assented politely. \"We met at Henry's some ten days ago, didn't we?\" \n\n\"Mr. Lutchester has brought us a letter from Dicky Green, Jimmy,\" Pamela explained, as she withdrew from her brother's arms. \"Quite unnecessary, as it happens, because I met him in London just before we sailed.\" \n\n\"Very glad to meet you, Mr. Lutchester,\" Jimmy declared, wringing his hand with American cordiality. \"Dicky's an old pal of mine--one of the best. We graduated in the same year from Harvard.\" \n\nConversation for a few minutes was platitudinous. Van Teyl, although he showed few signs of his recent excesses, was noisy and boisterous, clutching at this brief escape from a situation which he dreaded. Fischer on the other hand, remained in the back-ground, ominously silent, thinking rapidly, speculating and theorising as to the coincidence, if it were coincidence, of finding Lutchester and Pamela together. He listened to the former's polite conversation, never once letting his eyes wander from his face. All his thoughts were concentrated upon one problem. The mysterious escape of Sandy Graham, which had sent him flying from the country, remained unsolved. Of Pamela's share in it he had already his suspicions. Was it possible that Lutchester was the other and the central figure in that remarkable rescue? He waited his opportunity, and, during a momentary lull in the cheerful conversation, broke in with his first question. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"20748\": \"Who was Pamela with?\"\n },\n {\n \"20749\": \"How many men did they greet?\"\n },\n {\n \"20750\": \"Had Fischer met Mr. Lutchester before?\"\n },\n {\n \"20751\": \"Where?\"\n },\n {\n \"20752\": \"And when was that?\"\n },\n {\n \"20753\": \"What did Lutchester have for Pamela and her brother?\"\n },\n {\n \"20754\": \"From whom?\"\n },\n {\n \"20755\": \"Was that exciting for Pamela?\"\n },\n {\n \"20756\": \"Had Pamela recently met Dicky?\"\n },\n {\n \"20757\": \"Where?\"\n },\n {\n \"20758\": \"Did Jimmy go to an Ivy League college?\"\n },\n {\n \"20759\": \"Did he have a good friend there?\"\n },\n {\n \"20760\": \"Is Fischer talking a lot at the gathering?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"20748\",\n \"answer\": \"her brother\"\n },\n {\n \"question_id\": \"20749\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"20750\",\n \"answer\": \"indeed\"\n },\n {\n \"question_id\": \"20751\",\n \"answer\": \"at Henry's\"\n },\n {\n \"question_id\": \"20752\",\n \"answer\": \"about ten days ago\"\n },\n {\n \"question_id\": \"20753\",\n \"answer\": \"a letter\"\n },\n {\n \"question_id\": \"20754\",\n \"answer\": \"Dicky Green\"\n },\n {\n \"question_id\": \"20755\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"20756\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"20757\",\n \"answer\": \"in London\"\n },\n {\n \"question_id\": \"20758\",\n \"answer\": \"yes,Harvard\"\n },\n {\n \"question_id\": \"20759\",\n \"answer\": \"Dicky\"\n },\n {\n \"question_id\": \"20760\",\n \"answer\": \"some\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN)The arduous search for a missing technology executive and five others feared dead after a suspicious fire destroyed a mansion in Annapolis, Maryland, could take days, fire officials said Tuesday. \n\nThe 16,000-square-foot waterfront house belonged to executive Don Pyle, chief operating officer for ScienceLogic, company spokesman Antonio Piraino said. \n\nPyle was believed to have been at home with his wife, Sandy, and four grandchildren. \n\nThe sheer size of the structure and the fact that three-fourths of the building had collapsed into the basement, with piles of deep-seeded debris still smoldering, compounded the search, said Anne Arundel County Fire Capt. Robert Howarth, who is leading the investigation along with a team from the federal Bureau of Alcohol, Tobacco, Firearms and Explosives. \n\n\"Your looking at five standard houses put together,\" he said. \"This is more of commercial fire than it is a residential fire. There are a lot of businesses that aren't 16,000 square feet. That adds to it.\" \n\nPyle had not been heard from on Monday, and his colleagues at ScienceLogic were \"hoping for a miracle,\" CNN affiliate WJLA-TV in Washington reported. \n\nBy midday Tuesday, fire officials had not been able to search the still-burning ruins, Howarth said. Heavy equipment is being moved in over the next 12 hours to aid in the search for victims and clues -- a process that could take days. \n\n\"We have some very unique challenges with this house,\" Howarth said. \"The construction of the house contained a lot of very heavy materials. We're looking at some steel beams that weigh in the area of 7 tons.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15202\": \"Who owned the house?\"\n },\n {\n \"15203\": \"What type of house is it?\"\n },\n {\n \"15204\": \"How large is it?\"\n },\n {\n \"15205\": \"Did it have a cellar?\"\n },\n {\n \"15206\": \"Did it have an attic?\"\n },\n {\n \"15207\": \"Who else lived in the house?\"\n },\n {\n \"15208\": \"How many days had passed since the fire?\"\n },\n {\n \"15209\": \"Had they begun to search the house yet?\"\n },\n {\n \"15210\": \"Why?\"\n },\n {\n \"15211\": \"Any other reason?\"\n },\n {\n \"15212\": \"Who was heading the search?\"\n },\n {\n \"15213\": \"What's his rank?\"\n },\n {\n \"15214\": \"What state was the house located in?\"\n },\n {\n \"15215\": \"What county?\"\n },\n {\n \"15216\": \"Had anyone gotten any communications from Pyle?\"\n },\n {\n \"15217\": \"Who is ScienceLogic's representative?\"\n },\n {\n \"15218\": \"Who is the COO?\"\n },\n {\n \"15219\": \"What was his wife Sandy's occupation?\"\n },\n {\n \"15220\": \"How many are thought to be dead?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15202\",\n \"answer\": \"Don Pyle\"\n },\n {\n \"question_id\": \"15203\",\n \"answer\": \"Waterfront\"\n },\n {\n \"question_id\": \"15204\",\n \"answer\": \"16,000-square-foot\"\n },\n {\n \"question_id\": \"15205\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15206\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"15207\",\n \"answer\": \"Pyle's wife and four grandchildren\"\n },\n {\n \"question_id\": \"15208\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"15209\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15210\",\n \"answer\": \"Parts were still burning\"\n },\n {\n \"question_id\": \"15211\",\n \"answer\": \"Waiting for equipment\"\n },\n {\n \"question_id\": \"15212\",\n \"answer\": \"Robert Howarth\"\n },\n {\n \"question_id\": \"15213\",\n \"answer\": \"Captain\"\n },\n {\n \"question_id\": \"15214\",\n \"answer\": \"Maryland\"\n },\n {\n \"question_id\": \"15215\",\n \"answer\": \"Anne Arundel\"\n },\n {\n \"question_id\": \"15216\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15217\",\n \"answer\": \"Antonio Piraino\"\n },\n {\n \"question_id\": \"15218\",\n \"answer\": \"Don Pyle\"\n },\n {\n \"question_id\": \"15219\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"15220\",\n \"answer\": \"Six\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- An Alaskan beat out 300 hirsute competitors from around the globe to take the top honor at the 2009 World Beard and Moustache Championships on Saturday. \n\nDan Sederowsky of Sweden shows off his moustache in Anchorage. \n\nDavid Traver may have had home-court advantage: He was a favorite of the crowd at the Dena'ina Civic and Convention Center in Anchorage, Alaska, in both the \"freestyle\" category, where just about anything goes, and the overall championship. \n\nHis winning move? He wove his beard into a basket-like cone that resembled a snowshoe. \n\nThere were 17 officially sanctioned categories in the competition: eight styles of moustache, four varieties of partial beard and goatee combinations, and five categories of full beards. \n\nThe facial hair Olympics got its start in 1990 in Germany, and the German team typically dominates the event. Photo gallery: best beards and moustaches » \n\nThis year's contest is the second time the World Beard and Moustache Championships have been held in the United States -- Carson City, Nevada, hosted the event in 2003. Video: Contestants strut their stuff in Anchorage » \n\nSince 1995, the contest has been held every two years. This year, competitors from 14 nations showed off their whiskers for the judges and a raucous crowd at the Anchorage venue. \n\nKarl-Heinz Hille of Germany came in second overall with a first-place finish in the Imperial Partial Beard category, and Jack Passion of San Francisco, California, placed third overall with his winning entry in the Natural Full Beard category. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21694\": \"What year did the World Beard and Moustache Championships begin?\"\n },\n {\n \"21695\": \"Where did it start?\"\n },\n {\n \"21696\": \"Where is it this year?\"\n },\n {\n \"21697\": \"How many people were completing?\"\n },\n {\n \"21698\": \"Who won?\"\n },\n {\n \"21699\": \"Where was he from?\"\n },\n {\n \"21700\": \"Did he have a beard or mustache?\"\n },\n {\n \"21701\": \"How many times has the competition been held in the US?\"\n },\n {\n \"21702\": \"Where was it the first time?\"\n },\n {\n \"21703\": \"When was that?\"\n },\n {\n \"21704\": \"How many categories are judged?\"\n },\n {\n \"21705\": \"What are they?\"\n },\n {\n \"21706\": \"What style was David Travers beard in?\"\n },\n {\n \"21707\": \"How often is the competition held?\"\n },\n {\n \"21708\": \"How many nations were represented this year?\"\n },\n {\n \"21709\": \"Which nation most often wins?\"\n },\n {\n \"21710\": \"Where in Anchorage was the competition held?\"\n },\n {\n \"21711\": \"Did an American come in second place?\"\n },\n {\n \"21712\": \"Who did?\"\n },\n {\n \"21713\": \"Where was he from?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21694\",\n \"answer\": \"1990\"\n },\n {\n \"question_id\": \"21695\",\n \"answer\": \"in Germany\"\n },\n {\n \"question_id\": \"21696\",\n \"answer\": \"in Anchorage (Alaska)\"\n },\n {\n \"question_id\": \"21697\",\n \"answer\": \"301\"\n },\n {\n \"question_id\": \"21698\",\n \"answer\": \"David Traver\"\n },\n {\n \"question_id\": \"21699\",\n \"answer\": \"Alaska\"\n },\n {\n \"question_id\": \"21700\",\n \"answer\": \"a beard\"\n },\n {\n \"question_id\": \"21701\",\n \"answer\": \"twice\"\n },\n {\n \"question_id\": \"21702\",\n \"answer\": \"Carson City, Nevada\"\n },\n {\n \"question_id\": \"21703\",\n \"answer\": \"in 2003\"\n },\n {\n \"question_id\": \"21704\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"21705\",\n \"answer\": \"eight styles of moustache, four varieties of partial beard and goatee combinations, and five categories of full beards\"\n },\n {\n \"question_id\": \"21706\",\n \"answer\": \"a basket-like cone\"\n },\n {\n \"question_id\": \"21707\",\n \"answer\": \"every two years\"\n },\n {\n \"question_id\": \"21708\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"21709\",\n \"answer\": \"Germany\"\n },\n {\n \"question_id\": \"21710\",\n \"answer\": \"at the Dena'ina Civic and Convention Center\"\n },\n {\n \"question_id\": \"21711\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21712\",\n \"answer\": \"Karl-Heinz Hille\"\n },\n {\n \"question_id\": \"21713\",\n \"answer\": \"Germany\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 geostationary orbit, geostationary Earth orbit or geosynchronous equatorial orbit (GEO) is a circular orbit above the Earth's equator and following the direction of the Earth's rotation. An object in such an orbit has an orbital period equal to the Earth's rotational period (one sidereal day) and thus appears motionless, at a fixed position in the sky, to ground observers. Communications satellites and weather satellites are often placed in geostationary orbits, so that the satellite antennas (located on Earth) that communicate with them do not have to rotate to track them, but can be pointed permanently at the position in the sky where the satellites are located. Using this characteristic, ocean color satellites with visible and near-infrared light sensors (e.g. the Geostationary Ocean Color Imager (GOCI)) can also be operated in geostationary orbit in order to monitor sensitive changes of ocean environments. \n\nA geostationary orbit is a particular type of geosynchronous orbit, the distinction being that while an object in geosynchronous orbit returns to the same point in the sky at the same time each day, an object in geostationary orbit never leaves that position. \n\nThe notion of a geostationary space station equipped with radio communication was published in 1928 by Herman Potočnik. The first appearance of a geostationary orbit in popular literature was in the first Venus Equilateral story by George O. Smith, but Smith did not go into details. British science fiction author Arthur C. Clarke disseminated the idea widely, with more details on how it would work, in a 1945 paper entitled \"Extra-Terrestrial Relays — Can Rocket Stations Give Worldwide Radio Coverage?\", published in \"Wireless World\" magazine. Clarke acknowledged the connection in his introduction to \"The Complete Venus Equilateral\". The orbit, which Clarke first described as useful for broadcast and relay communications satellites, is sometimes called the Clarke Orbit. Similarly, the Clarke Belt is the part of space about above sea level, in the plane of the equator, where near-geostationary orbits may be implemented. The Clarke Orbit is about in circumference.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37668\": \"What is a GEO\"\n },\n {\n \"37669\": \"Where is it above?\"\n },\n {\n \"37670\": \"How long is its rotational period\"\n },\n {\n \"37671\": \"Does it appear to be moving\"\n },\n {\n \"37672\": \"What type of orbit is a GEO\"\n },\n {\n \"37673\": \"Who first talked about such an object?\"\n },\n {\n \"37674\": \"In what story?\"\n },\n {\n \"37675\": \"When did Herman Potocnik mention it\"\n },\n {\n \"37676\": \"What was Arthur C. Clarke's paper called?\"\n },\n {\n \"37677\": \"Where was it published?\"\n },\n {\n \"37678\": \"When was it published?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37668\",\n \"answer\": \"A geostationary orbit\"\n },\n {\n \"question_id\": \"37669\",\n \"answer\": \"Earth's equator\"\n },\n {\n \"question_id\": \"37670\",\n \"answer\": \"one sidereal day\"\n },\n {\n \"question_id\": \"37671\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37672\",\n \"answer\": \"a particular type\"\n },\n {\n \"question_id\": \"37673\",\n \"answer\": \"George O. Smith\"\n },\n {\n \"question_id\": \"37674\",\n \"answer\": \"Venus Equilateral story\"\n },\n {\n \"question_id\": \"37675\",\n \"answer\": \"1928\"\n },\n {\n \"question_id\": \"37676\",\n \"answer\": \"Extra-Terrestrial Relays \\u2014 Can Rocket Stations Give Worldwide Radio Coverage?\"\n },\n {\n \"question_id\": \"37677\",\n \"answer\": \"Wireless World\"\n },\n {\n \"question_id\": \"37678\",\n \"answer\": \"1945\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n It was not the first time for Shi Benliang, a senior physics major at Peking University, to feed cats. But the 22-year-old felt sad when he saw the scars and wounds on the bodies of the little creatures. \n\n\"I can imagine how they have suffered from being abandoned. They lead a harsh life wandering around,\" said the student..Shi is one of a dozen students at the university volunteering to feed the stray cats during the winter break. \n\nRecruited by the Stray Cat Rescue Association at the university through a Bulletin Board System (BBS), he took turns with other students to care for the homeless animals. It is estimated that there are more than 100 stray cats on the campus of Peking University. \n\nJin Jing, 18, an economics freshman at the university, cared for the cats for two days. \"At around 5 pm I cycled to the 22 feeding sites on campus marked on a special map,\" she said. \"At each site I left some cat food and water.\"Jin was excited when the animals rushed to her feet. \"Some are shy and timid, and others are more outgoing. Each of them has their own name such as 'Sweet Orange' or 'Karl Marx',\" she said. \"By feeding them I learned to respect life.\" \n\nLiu Chenhao, a senior electronics and computer science major, who is in charge of the association, said that feeding was just one part of their responsibilities.\"Our aim is to keep the stray cats in check and maintain harmony between them and the students on campus,\" he said. \n\nThe organization also takes cats to the animal hospital to be treated for oral and skin disease. Another of its major tasks is to find new homes for the cats by uploading their photos and information online. \n\n\"We're very careful when selecting owners and ask them lots of questions to ensure that they won't desert their cat under any circumstances, such as when they move house or get married,\" Liu said. But he stressed that their acts of kindness shouldn't encourage anyone to abandon their cat. \"A cat's normal life expectancy is more than 10 years, but a stray one may survive for only two or three.\" (365words)\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5537\": \"What school did Shi Benliang go to?\"\n },\n {\n \"5538\": \"What was his major?\"\n },\n {\n \"5539\": \"What animals did he feed?\"\n },\n {\n \"5540\": \"What made him sad?\"\n },\n {\n \"5541\": \"What was he doing to help the cats?\"\n },\n {\n \"5542\": \"How was he recruited?\"\n },\n {\n \"5543\": \"What was the organization that recruited him?\"\n },\n {\n \"5544\": \"How many stray cats are at the school?\"\n },\n {\n \"5545\": \"How old is Jin Jing?\"\n },\n {\n \"5546\": \"How long did he care for the cats?\"\n },\n {\n \"5547\": \"How many feeding sites did he visit at 5 pm?\"\n },\n {\n \"5548\": \"What did she learn from feeding the cats?\"\n },\n {\n \"5549\": \"What is Liu Chenhao studying?\"\n },\n {\n \"5550\": \"Is he in charge of the association?\"\n },\n {\n \"5551\": \"What did he say the aim of the association is?\"\n },\n {\n \"5552\": \"What do they do when cats have diseases?\"\n },\n {\n \"5553\": \"What is another thing they do for the homeless cats?\"\n },\n {\n \"5554\": \"Are they careful when finding new owners?\"\n },\n {\n \"5555\": \"What did Liu say a cat's normal life expectancy is?\"\n },\n {\n \"5556\": \"What about a stray's life expectancy?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5537\",\n \"answer\": \"Peking University\"\n },\n {\n \"question_id\": \"5538\",\n \"answer\": \"physics\"\n },\n {\n \"question_id\": \"5539\",\n \"answer\": \"cats\"\n },\n {\n \"question_id\": \"5540\",\n \"answer\": \"seeing their scars and wounds\"\n },\n {\n \"question_id\": \"5541\",\n \"answer\": \"feeding them\"\n },\n {\n \"question_id\": \"5542\",\n \"answer\": \"through a Bulletin Board System (BBS)\"\n },\n {\n \"question_id\": \"5543\",\n \"answer\": \"Stray Cat Rescue Association\"\n },\n {\n \"question_id\": \"5544\",\n \"answer\": \"more than 100\"\n },\n {\n \"question_id\": \"5545\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"5546\",\n \"answer\": \"two days\"\n },\n {\n \"question_id\": \"5547\",\n \"answer\": \"22\"\n },\n {\n \"question_id\": \"5548\",\n \"answer\": \"to respect life.\"\n },\n {\n \"question_id\": \"5549\",\n \"answer\": \"senior electronics and computer science\"\n },\n {\n \"question_id\": \"5550\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5551\",\n \"answer\": \"keep the stray cats in check and maintain harmony between them and the students on campus\"\n },\n {\n \"question_id\": \"5552\",\n \"answer\": \"the animal hospital\"\n },\n {\n \"question_id\": \"5553\",\n \"answer\": \"find new homes for the cats\"\n },\n {\n \"question_id\": \"5554\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5555\",\n \"answer\": \"more than 10 years\"\n },\n {\n \"question_id\": \"5556\",\n \"answer\": \"two or three\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Lying in the sun on a rock, the cougar saw Jeb and his son, Tom, before they saw it. Jeb put his bag down quickly and pulled his jacket open with both hands, making himself look big to the cougar. It worked. The cougar hesitated, ready to attack Jeb, but ready to forget the whole thing, too. \n\nJeb let go of his jacket, grasped Tom and held him across his body, making a cross. Now the cougar's enemy looked even bigger, and it rose up, ready to move away, but unfortunately Tom got scared and struggled free of Jeb. \n\n\"Tom, no!\" shouted his father. \n\nBut Tom broke and ran and that's the last thing you do with a cougar. The second Tom broke free, Jeb threw himself on the cougar, just as it jumped from the rock. They hit each other in mid-air and both fell. The cougar was on Jeb in a flash, forgetting about Tom, which was what Jeb wanted. \n\nCougars are not as big as most people think and a determined man stands a chance, even with just his fists. As the cougar's claws got into his left shoulder, Jeb swung his fist at its eyes and hit hard. The animal howled and put its head back. Jeb followed up with his other fist. Then out of the corner of his eye, Jeb saw Tom. The boy was running back to help his father. \n\n\"Knife, Tom\" shouted Jeb. \n\nThe boy ran to his father's bag, while Jeb stated shouting as well as hitting, to keep the cougar's attention away from Tom. Tom got the knife and ran over to Jeb. The cougar was moving its head in and out, trying to find a way through the wall Jeb was making out of his arms. Tom swung with the knife, into the cougar's back. It howled horribly and ran off into the mountains. \n\nThe whole fight had taken about thirty seconds.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"53478\": \"Was the animal hurt?\"\n },\n {\n \"53479\": \"How?\"\n },\n {\n \"53480\": \"How long did it take?\"\n },\n {\n \"53481\": \"Who was attacked?\"\n },\n {\n \"53482\": \"why?\"\n },\n {\n \"53483\": \"Where did they collide?\"\n },\n {\n \"53484\": \"And then?\"\n },\n {\n \"53485\": \"Where was Jeb wounded?\"\n },\n {\n \"53486\": \"Which one?\"\n },\n {\n \"53487\": \"What did he swing?\"\n },\n {\n \"53488\": \"Does he have a child?\"\n },\n {\n \"53489\": \"Which gender?\"\n },\n {\n \"53490\": \"And his name?\"\n },\n {\n \"53491\": \"What weapon was used?\"\n },\n {\n \"53492\": \"To where did it flee?\"\n },\n {\n \"53493\": \"Did it make any noise?\"\n },\n {\n \"53494\": \"What kind?\"\n },\n {\n \"53495\": \"Where was it first seen?\"\n },\n {\n \"53496\": \"Was it raining?\"\n },\n {\n \"53497\": \"How many people were there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"53478\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"53479\",\n \"answer\": \"Knifed in the back.\"\n },\n {\n \"question_id\": \"53480\",\n \"answer\": \"Thirty seconds.\"\n },\n {\n \"question_id\": \"53481\",\n \"answer\": \"Jeb.\"\n },\n {\n \"question_id\": \"53482\",\n \"answer\": \"Jeb threw himself on the cougar.\"\n },\n {\n \"question_id\": \"53483\",\n \"answer\": \"In mid-air.\"\n },\n {\n \"question_id\": \"53484\",\n \"answer\": \"They both fell.\"\n },\n {\n \"question_id\": \"53485\",\n \"answer\": \"His shoulder.\"\n },\n {\n \"question_id\": \"53486\",\n \"answer\": \"Left.\"\n },\n {\n \"question_id\": \"53487\",\n \"answer\": \"His fist.\"\n },\n {\n \"question_id\": \"53488\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"53489\",\n \"answer\": \"Male.\"\n },\n {\n \"question_id\": \"53490\",\n \"answer\": \"Tom.\"\n },\n {\n \"question_id\": \"53491\",\n \"answer\": \"Knife.\"\n },\n {\n \"question_id\": \"53492\",\n \"answer\": \"Into the mountains.\"\n },\n {\n \"question_id\": \"53493\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"53494\",\n \"answer\": \"Howled.\"\n },\n {\n \"question_id\": \"53495\",\n \"answer\": \"On a rock.\"\n },\n {\n \"question_id\": \"53496\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"53497\",\n \"answer\": \"Two.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XLVI \n\nOur Pet Fox Finds a Tail \n\nFrank returned home, and his immediate business was of course with his father, and with Mr Gazebee, who was still at Greshamsbury. \n\n\"But who is the heir?\" asked Mr Gazebee, when Frank had explained that the death of Sir Louis rendered unnecessary any immediate legal steps. \n\n\"Upon my word I don't know,\" said Frank. \n\n\"You saw Dr Thorne,\" said the squire. \"He must have known.\" \n\n\"I never thought of asking him,\" said Frank, naïvely. \n\nMr Gazebee looked rather solemn. \"I wonder at that,\" said he; \"for everything now depends on the hands the property will go into. Let me see; I think Sir Roger had a married sister. Was not that so, Mr Gresham?\" And then it occurred for the first time, both to the squire and to his son, that Mary Thorne was the eldest child of this sister. But it never occurred to either of them that Mary could be the baronet's heir. \n\nDr Thorne came down for a couple of days before the fortnight was over to see his patients, and then returned again to London. But during this short visit he was utterly dumb on the subject of the heir. He called at Greshamsbury to see Lady Arabella, and was even questioned by the squire on the subject. But he obstinately refused to say more than that nothing certain could be known for yet a few days. \n\nImmediately after his return, Frank saw Mary, and told her all that had happened. \"I cannot understand my uncle,\" said she, almost trembling as she stood close to him in her own drawing-room. \"He usually hates mysteries, and yet now he is so mysterious. He told me, Frank--that was after I had written that unfortunate letter--\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34627\": \"What's the name of the man who had died?\"\n },\n {\n \"34628\": \"Did his death have an effect on legal proceedings?\"\n },\n {\n \"34629\": \"What was the effect?\"\n },\n {\n \"34630\": \"Where was Mr Gazebee?\"\n },\n {\n \"34631\": \"Who did Frank think was the heir?\"\n },\n {\n \"34632\": \"Who could he have asked about that?\"\n },\n {\n \"34633\": \"Had Frank asked him?\"\n },\n {\n \"34634\": \"Did Dr Thorne come again during the story?\"\n },\n {\n \"34635\": \"For how long?\"\n },\n {\n \"34636\": \"What was he there for?\"\n },\n {\n \"34637\": \"Where did he go back afterwards?\"\n },\n {\n \"34638\": \"Why did he stop by Greshamsbury?\"\n },\n {\n \"34639\": \"Did someone ask him about the heir?\"\n },\n {\n \"34640\": \"Who?\"\n },\n {\n \"34641\": \"Did he get an answer?\"\n },\n {\n \"34642\": \"Who had a married sister?\"\n },\n {\n \"34643\": \"Did the sister have any children?\"\n },\n {\n \"34644\": \"Who?\"\n },\n {\n \"34645\": \"Does anyone speak with her?\"\n },\n {\n \"34646\": \"Who is that?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34627\",\n \"answer\": \"Sir Louis\"\n },\n {\n \"question_id\": \"34628\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34629\",\n \"answer\": \"it rendered them unnecessary\"\n },\n {\n \"question_id\": \"34630\",\n \"answer\": \"Greshamsbury\"\n },\n {\n \"question_id\": \"34631\",\n \"answer\": \"he didn't know\"\n },\n {\n \"question_id\": \"34632\",\n \"answer\": \"Dr. Thorne\"\n },\n {\n \"question_id\": \"34633\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"34634\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34635\",\n \"answer\": \"a couple of days\"\n },\n {\n \"question_id\": \"34636\",\n \"answer\": \"t osee his patientas\"\n },\n {\n \"question_id\": \"34637\",\n \"answer\": \"London\"\n },\n {\n \"question_id\": \"34638\",\n \"answer\": \"to see Lady Arabella\"\n },\n {\n \"question_id\": \"34639\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34640\",\n \"answer\": \"the squire\"\n },\n {\n \"question_id\": \"34641\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"34642\",\n \"answer\": \"sir Roger\"\n },\n {\n \"question_id\": \"34643\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34644\",\n \"answer\": \"Mary Thomas\"\n },\n {\n \"question_id\": \"34645\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"34646\",\n \"answer\": \"Frank\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n British Columbia is the westernmost province of Canada, with a population of more than four and a half million people. It is located between the Pacific Ocean and the Rocky Mountains. British Columbia is also a component of the Pacific Northwest and the Cascadia bioregion, along with American states Alaska, Idaho, Montana (western portion), Oregon and Washington. \n\nThe first British settlement in the area was Fort Victoria, established in 1843, which gave rise to the city of Victoria, at first the capital of the separate Colony of Vancouver Island. Subsequently, on the mainland, the Colony of British Columbia (1858–66) was founded by Richard Clement Moody and the Royal Engineers, Columbia Detachment, in response to the Fraser Canyon Gold Rush. Moody was Chief Commissioner of Lands and Works for the Colony and the first Lieutenant-Governor of British Columbia: he was hand-picked by the Colonial Office in London to transform British Columbia into the British Empire's \"bulwark in the farthest west\", and \"to found a second England on the shores of the Pacific\". Moody selected the site for and founded the original capital of British Columbia, New Westminster, established the Cariboo Road and Stanley Park, and designed the first version of the Coat of arms of British Columbia. Port Moody is named after him.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"40519\": \"How many people live in British Columbia?\"\n },\n {\n \"40520\": \"what was established in 1843?\"\n },\n {\n \"40521\": \"which was?\"\n },\n {\n \"40522\": \"what did this give rise to?\"\n },\n {\n \"40523\": \"What was founded by Richard Clement Moody?\"\n },\n {\n \"40524\": \"where was this located?\"\n },\n {\n \"40525\": \"in what years was this considered a colony?\"\n },\n {\n \"40526\": \"it was founded in response to what?\"\n },\n {\n \"40527\": \"What is named after Moody?\"\n },\n {\n \"40528\": \"What was Moody's position in British Columbia?\"\n },\n {\n \"40529\": \"What did he design?\"\n },\n {\n \"40530\": \"What part of Canada can you find Bristish Columbia?\"\n },\n {\n \"40531\": \"its situated in between what?\"\n },\n {\n \"40532\": \"Who picked Moody to transform British Columbia?\"\n },\n {\n \"40533\": \"where was this?\"\n },\n {\n \"40534\": \"He was to found a second what?\"\n },\n {\n \"40535\": \"where?\"\n },\n {\n \"40536\": \"What part of Montana is part of the Pacific Northwest?\"\n },\n {\n \"40537\": \"are there other US states included?\"\n },\n {\n \"40538\": \"Did Moody select the site of British Columbia?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"40519\",\n \"answer\": \"more than four and a half million people.\"\n },\n {\n \"question_id\": \"40520\",\n \"answer\": \"The first British settlement in the area\"\n },\n {\n \"question_id\": \"40521\",\n \"answer\": \"Fort Victoria\"\n },\n {\n \"question_id\": \"40522\",\n \"answer\": \"the city of Victoria\"\n },\n {\n \"question_id\": \"40523\",\n \"answer\": \"the Colony of British Columbia\"\n },\n {\n \"question_id\": \"40524\",\n \"answer\": \"on the mainland\"\n },\n {\n \"question_id\": \"40525\",\n \"answer\": \"1858\\u201366\"\n },\n {\n \"question_id\": \"40526\",\n \"answer\": \"the Fraser Canyon Gold Rush\"\n },\n {\n \"question_id\": \"40527\",\n \"answer\": \"Port Moody\"\n },\n {\n \"question_id\": \"40528\",\n \"answer\": \"Chief Commissioner of Lands and Works\"\n },\n {\n \"question_id\": \"40529\",\n \"answer\": \"a version of the Coat of arms of British Columbia.\"\n },\n {\n \"question_id\": \"40530\",\n \"answer\": \"west\"\n },\n {\n \"question_id\": \"40531\",\n \"answer\": \"between the Pacific Ocean and the Rocky Mountains\"\n },\n {\n \"question_id\": \"40532\",\n \"answer\": \"the Colonial Office\"\n },\n {\n \"question_id\": \"40533\",\n \"answer\": \"in London\"\n },\n {\n \"question_id\": \"40534\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"40535\",\n \"answer\": \"on the shores of the Pacific\"\n },\n {\n \"question_id\": \"40536\",\n \"answer\": \"western portion\"\n },\n {\n \"question_id\": \"40537\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"40538\",\n \"answer\": \"he selected the site for and founded the original capital of British Columbia\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 1883. John Roebling was inspired by an idea to build a spectacular bridge connecting New York with the Long Island. However, bridge building experts throughout the world thought this was an impossible feat and told Roebling to forget the idea, but Roebling could not ignore the vision he had in his mind of this bridge. After much discussion and persuasion he managed to convince his son Washington, an up and coming engineer, that the bridge in fact could be built. \n\nThe project started well, but when it was only a few months underway a tragic accident on the site took the life of John Roebling. Washington was injured and left with a certain amount of brain damage, which resulted in him not being able to walk or talk or even move. \n\n\"We told them so.\" \"Crazy men and their crazy dreams.'' \"It's foolish to chase wild visions.\" Evcryone had a negative comment to make and felt that the project should be scrapped since the Roeblings were the only ones who knew how the bridge could be built. In spite of his handicap, Washington was never discouraged. \n\nOne day he was lying on his bed in hospital, seeing the sky and the tops of the trees outside for just a moment with the sunlight streaming through the windows, and a gentle breeze bowing the flimsy white curtains apart when an idea hit him. He decided to make the best use of the only finger he could move. Thus, he slowly developed a code of communication with his wife. \n\nHe touched his wife's arm with that finger, indicating to her that he wanted her to call the engineers again. Then he used the same method of tapping her arm to tell the engineers what to do. It seemed foolish but the project was under way again. \n\nFor 13 years Washington tapped out his instructions with his finger on his wife's arm until the bridge was finally completed.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"96355\": \"Who wanted to build a bridge?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96355\",\n \"answer\": \"John Roebling\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Book of Genesis (from the Latin Vulgate, in turn borrowed or transliterated from Greek , meaning \"Coming into Being\"; , \"Bərēšīṯ\", \"In [the] beginning\") is the first book of the Hebrew Bible (the Tanakh) and the Christian Old Testament. \n\nThe basic narrative of the Book of Genesis is centered around a few themes: God, the creation of the world, the creation of Adam and Eve and how man was appointed as the regent of God. Later on the book describes man's disobedience of God, and the exile of Adam and Eve from the garden of Eden. \n\nThe book continues to describe how God destroyed the world through the Flood. The new post-Flood world is also corrupt. God does not destroy it, instead calling one man, Abraham, to be the seed of its salvation. At God's command Abraham descends from his home into the land of Canaan, given to him by God, where he dwells as a sojourner, as does his son Isaac and his grandson Jacob. Jacob's name is changed to Israel, and through the agency of his son Joseph, the children of Israel descend into Egypt, 70 people in all with their households, and God promises them a future of greatness. Genesis ends with Israel in Egypt, ready for the coming of Moses and the Exodus. The narrative is punctuated by a series of covenants with God, successively narrowing in scope from all mankind (the covenant with Noah) to a special relationship with one people alone (Abraham and his descendants through Isaac and Jacob).\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"5327\": \"Which book is this about?\"\n },\n {\n \"5328\": \"What does the word mean?\"\n },\n {\n \"5329\": \"In what language?\"\n },\n {\n \"5330\": \"Is this the second book of the Hebrew Bible?\"\n },\n {\n \"5331\": \"Which rank is it?\"\n },\n {\n \"5332\": \"What is another name for the Hebrew Bible?\"\n },\n {\n \"5333\": \"What is the first thing that happens in it?\"\n },\n {\n \"5334\": \"What job does God give man?\"\n },\n {\n \"5335\": \"Where did Adam and Eve live?\"\n },\n {\n \"5336\": \"Were they there their whole lives?\"\n },\n {\n \"5337\": \"What happened?\"\n },\n {\n \"5338\": \"How did God ruin the earth?\"\n },\n {\n \"5339\": \"Who does God call on to improve the world?\"\n },\n {\n \"5340\": \"Who was his son?\"\n },\n {\n \"5341\": \"And Isaac's son?\"\n },\n {\n \"5342\": \"Did Jacob get a new name?\"\n },\n {\n \"5343\": \"To what?\"\n },\n {\n \"5344\": \"How many people went to Egypt?\"\n },\n {\n \"5345\": \"In what location does the book end?\"\n },\n {\n \"5346\": \"Is Moses mentioned in Genesis?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"5327\",\n \"answer\": \"Genesis\"\n },\n {\n \"question_id\": \"5328\",\n \"answer\": \"\\\"Coming into Being\\\";\"\n },\n {\n \"question_id\": \"5329\",\n \"answer\": \"Greek\"\n },\n {\n \"question_id\": \"5330\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5331\",\n \"answer\": \"first\"\n },\n {\n \"question_id\": \"5332\",\n \"answer\": \"the Tanakh\"\n },\n {\n \"question_id\": \"5333\",\n \"answer\": \"the creation of the world\"\n },\n {\n \"question_id\": \"5334\",\n \"answer\": \"regent\"\n },\n {\n \"question_id\": \"5335\",\n \"answer\": \"the garden of Eden\"\n },\n {\n \"question_id\": \"5336\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"5337\",\n \"answer\": \"they were exiled\"\n },\n {\n \"question_id\": \"5338\",\n \"answer\": \"through the Flood\"\n },\n {\n \"question_id\": \"5339\",\n \"answer\": \"Abraham\"\n },\n {\n \"question_id\": \"5340\",\n \"answer\": \"Isaac\"\n },\n {\n \"question_id\": \"5341\",\n \"answer\": \"Jacob\"\n },\n {\n \"question_id\": \"5342\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"5343\",\n \"answer\": \"Israel\"\n },\n {\n \"question_id\": \"5344\",\n \"answer\": \"70 people in all with their households,\"\n },\n {\n \"question_id\": \"5345\",\n \"answer\": \"Egypt\"\n },\n {\n \"question_id\": \"5346\",\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 National Railroad Passenger Corporation, doing business as Amtrak , is a passenger railroad service that provides medium- and long-distance intercity service in the contiguous United States. Founded in 1971 to take over most of the remaining U.S. passenger rail services, it is partially government funded yet operated and managed as a for-profit corporation. \n\nAmtrak serves more than 500 destinations in 46 states and three Canadian provinces, operating more than 300 trains each day over of track. Some track sections allow trains to run as fast as . \n\nIn fiscal year 2015, Amtrak served 30.8 million passengers and had $2.185 billion in revenue, while employing more than 20,000 people. Nearly two-thirds of passengers come from the 10 largest metropolitan areas; 83% of passengers travel on routes shorter than . Its headquarters is at Union Station in Washington, D.C. \n\nThe name \"Amtrak\" is a portmanteau of the words \"America\" and \"trak\", the latter itself a sensational spelling of \"track\". \n\nIn 1916 98% of all commercial intercity travelers in the United States moved by rail; the remaining 2% moved by inland waterways. Passenger traffic on the railroads totaled 42 billion passenger-miles. Passenger trains were owned and operated by the same privately owned companies that operated freight trains. Thereafter patronage declined in the face of competition from buses, air travel, and the automobile. New streamlined diesel-powered trains such as the \"Pioneer Zephyr\" were popular with the traveling public but could not reverse the trend. By 1940 railroads held just 67 percent of commercial passenger-miles in the United States. In real terms, passenger-miles had fallen by 40% since 1916, from 42 billion to 25 billion.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"27943\": \"Who was doing business with antrak?\"\n },\n {\n \"27944\": \"what is amtrak?\"\n },\n {\n \"27945\": \"did they do short distace?\"\n },\n {\n \"27946\": \"how many trains are operated?\"\n },\n {\n \"27947\": \"when was it founded?\"\n },\n {\n \"27948\": \"were they international travelers?\"\n },\n {\n \"27949\": \"how many states are served?\"\n },\n {\n \"27950\": \"is it a for profit or non profit?\"\n },\n {\n \"27951\": \"how many stops does it have?\"\n },\n {\n \"27952\": \"how many people rode in 2015\"\n },\n {\n \"27953\": \"what makes up the name Amtrak?\"\n },\n {\n \"27954\": \"do they travel to canada?\"\n },\n {\n \"27955\": \"who partially funds it?\"\n },\n {\n \"27956\": \"how many provinces do they travel to?\"\n },\n {\n \"27957\": \"where do most of the passengers come from?\"\n },\n {\n \"27958\": \"how many people traveled by train in 1916?\"\n },\n {\n \"27959\": \"what about waterway?\"\n },\n {\n \"27960\": \"What percent did it drop to 1940?\"\n },\n {\n \"27961\": \"What is trak short for?\"\n },\n {\n \"27962\": \"where is it headquarters?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"27943\",\n \"answer\": \"The National Railroad Passenger Corporation\"\n },\n {\n \"question_id\": \"27944\",\n \"answer\": \"passenger railroad service\"\n },\n {\n \"question_id\": \"27945\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"27946\",\n \"answer\": \"more than 300\"\n },\n {\n \"question_id\": \"27947\",\n \"answer\": \"1971\"\n },\n {\n \"question_id\": \"27948\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27949\",\n \"answer\": \"46\"\n },\n {\n \"question_id\": \"27950\",\n \"answer\": \"for-profit\"\n },\n {\n \"question_id\": \"27951\",\n \"answer\": \"500\"\n },\n {\n \"question_id\": \"27952\",\n \"answer\": \"30.8\\u00a0million\"\n },\n {\n \"question_id\": \"27953\",\n \"answer\": \"\\\"America\\\" and \\\"trak\\\",\"\n },\n {\n \"question_id\": \"27954\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"27955\",\n \"answer\": \"government\"\n },\n {\n \"question_id\": \"27956\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"27957\",\n \"answer\": \"the largest metropolitan areas\"\n },\n {\n \"question_id\": \"27958\",\n \"answer\": \"42 billion passenger-miles.\"\n },\n {\n \"question_id\": \"27959\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"27960\",\n \"answer\": \"67\"\n },\n {\n \"question_id\": \"27961\",\n \"answer\": \"track\"\n },\n {\n \"question_id\": \"27962\",\n \"answer\": \"Union Station\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 XXXIV. \n\nHOPE. \n\nFrom Edie Le Breton's lodgings, Hilda Tregellis drove straight, without stopping all the way, to Arthur Berkeley's house at Chelsea; for Arthur had long since risen to the dignity of an enfranchised householder, and had bought himself a pretty cottage near the Embankment, with room enough for himself and the Progenitor, and even for any possible future domestic contingency in the way of wife and children. It was a very unconventional thing for her to do, no doubt; but Lady Hilda was certainly not the person to be deterred from doing anything she contemplated on the bare ground of its extreme unconventionally; and so far was she from objecting personally to her visit on this score, that before she rang the Berkeleys' bell she looked quietly at her little bijou watch, and said with a bland smile to the suspicious Mr. Jenkins, 'Let me see, Jenkins; it's one o'clock. I shall lunch with my friends here this morning; so you may take the carriage home now for my lady, and I shall cab it back, or come round by Metropolitan.' Jenkins was too much accustcmed to Lady Hilda's unaccountable vagaries to express any surprise at her wildest resolutions, even if she had proposed to go home on a costermonger's barrow; so he only touched his hat respectfully, in his marionette fashion, and drove away at once without further colloquy. \n\n'Is Mr. Berkeley at home?' Hilda asked of the pretty servant girl who opened the door to her, mentally taking note at the same time that Arthur's aesthetic tendencies evidently extended even to his human surroundings. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10570\": \"Where does Arthur live?\"\n },\n {\n \"10571\": \"Does he own his home?\"\n },\n {\n \"10572\": \"What kind of house is it?\"\n },\n {\n \"10573\": \"Does it look nice?\"\n },\n {\n \"10574\": \"Is there plenty of space?\"\n },\n {\n \"10575\": \"What can he add to his household if he wants?\"\n },\n {\n \"10576\": \"Where is it?\"\n },\n {\n \"10577\": \"Has he had it a while?\"\n },\n {\n \"10578\": \"who is dropping in on him?\"\n },\n {\n \"10579\": \"Is this what she normally does?\"\n },\n {\n \"10580\": \"Where is she coming from?\"\n },\n {\n \"10581\": \"Did she make any detours?\"\n },\n {\n \"10582\": \"What will she do with her friends?\"\n },\n {\n \"10583\": \"How did she get there?\"\n },\n {\n \"10584\": \"What?\"\n },\n {\n \"10585\": \"Who left with it?\"\n },\n {\n \"10586\": \"How will Hilda get back?\"\n },\n {\n \"10587\": \"Does she have other options?\"\n },\n {\n \"10588\": \"What is it?\"\n },\n {\n \"10589\": \"Who answered the door?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10570\",\n \"answer\": \"Chelsea\"\n },\n {\n \"question_id\": \"10571\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10572\",\n \"answer\": \"cottage\"\n },\n {\n \"question_id\": \"10573\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10574\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10575\",\n \"answer\": \"A wife and children.\"\n },\n {\n \"question_id\": \"10576\",\n \"answer\": \"near the Embankment\"\n },\n {\n \"question_id\": \"10577\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10578\",\n \"answer\": \"Lady Hilda\"\n },\n {\n \"question_id\": \"10579\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"10580\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"10581\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"10582\",\n \"answer\": \"Have lunch\"\n },\n {\n \"question_id\": \"10583\",\n \"answer\": \"She drove\"\n },\n {\n \"question_id\": \"10584\",\n \"answer\": \"A carriage .\"\n },\n {\n \"question_id\": \"10585\",\n \"answer\": \"Mr. Jenkins\"\n },\n {\n \"question_id\": \"10586\",\n \"answer\": \"A cab\"\n },\n {\n \"question_id\": \"10587\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"10588\",\n \"answer\": \"Metropolitan\"\n },\n {\n \"question_id\": \"10589\",\n \"answer\": \"A servant girl\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (WIRED) -- If you work for IBM, you can bring your iPhone to work, but forget about using the phone's voice-activated digital assistant. Siri isn't welcome on Big Blue's networks. \n\nThe reason? Siri ships everything you say to her to a big data center in Maiden, North Carolina. And the story of what really happens to all of your Siri-launched searches, e-mail messages and inappropriate jokes is a bit of a black box. \n\nIBM CIO Jeanette Horan told MIT's Technology Review this week that her company has banned Siri outright because, according to the magazine, \"The company worries that the spoken queries might be stored somewhere.\" \n\nApple's new 'spaceship' campus: What will the neighbors say? \n\nIt turns out that Horan is right to worry. In fact, Apple's iPhone Software License Agreement spells this out: \"When you use Siri or Dictation, the things you say will be recorded and sent to Apple in order to convert what you say into text,\" Apple says. Siri collects a bunch of other information -- names of people from your address book and other unspecified user data, all to help Siri do a better job. \n\nHow long does Apple store all of this stuff, and who gets a look at it? Well, the company doesn't actually say. Again, from the user agreement: \"By using Siri or Dictation, you agree and consent to Apple's and its subsidiaries' and agents' transmission, collection, maintenance, processing, and use of this information, including your voice input and User Data, to provide and improve Siri, Dictation, and other Apple products and services.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55080\": \"Where is Siri not welcome?\"\n },\n {\n \"55081\": \"Why?\"\n },\n {\n \"55082\": \"Who is Jeanette Horan\"\n },\n {\n \"55083\": \"What magazine did she talk to\"\n },\n {\n \"55084\": \"What did she say\"\n },\n {\n \"55085\": \"Does Apple have a new campus?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55080\",\n \"answer\": \"IBM\"\n },\n {\n \"question_id\": \"55081\",\n \"answer\": \"Siri ships everything you say to her to a big data center in Maiden, North Carolina\"\n },\n {\n \"question_id\": \"55082\",\n \"answer\": \"IBM CIO\"\n },\n {\n \"question_id\": \"55083\",\n \"answer\": \"MIT's Technology Review\"\n },\n {\n \"question_id\": \"55084\",\n \"answer\": \"The company worries that the spoken queries might be stored somewhere.\\\"\"\n },\n {\n \"question_id\": \"55085\",\n \"answer\": \"Apple's new 'spaceship' campus:\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Xu Caihou, a retired PLA general and former vice-chairman of the powerful Central Military Commission (CMC), was taken from his sick bed at 301 Military Hospital in Beijing on Saturday by dozens of armed policemen, the South China Morning Post reported, quoting unidentified sources. \n\nXu was detained the same day President Xi Jinping chaired a steering group tasked with reforming the military, the Post said. \n\nIf confirmed, Xu would become the highest-ranking military officer to be detained on suspicion of corruption. \n\nXu's critics claim that during his tenure, the buying and selling of military ranks was widespread in the defense establishment. \n\n\"I was told by an ex-PLA man I met on the train travelling to Guangzhou that he quit the military because so many people were buying positions and he did not want to play that game,\" said David Zweig, professor at Hong Kong University of Science and Technology. \n\n\"Telling me, a foreign professor, such dirt suggests that it is widespread and the anger that exists about this is also widespread.\" \n\nBribery scandal \n\nXu's detention may be connected with the corruption probe of Gu Junshan, the army's former deputy logistics chief and one of Xu's closest subordinates. Gu, who was in charge of the military's massive procurement and property portfolio, reportedly received bribes in cash and gifts. He has been under investigation since early 2012. \n\nXu, 71, was promoted to the CMC in 1999 and became its vice-chairman in 2004. He retired in March last year. \n\nHe has not been seen in public for several months until January 20, when the Chinese media showed him with President Xi greeting a group of retired military officials on the eve of the Chinese Lunar New Year. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"1832\": \"Was Xu promoted?\"\n },\n {\n \"1833\": \"What age?\"\n },\n {\n \"1834\": \"When?\"\n },\n {\n \"1835\": \"Was he liked?\"\n },\n {\n \"1836\": \"Was he arrested?\"\n },\n {\n \"1837\": \"When?\"\n },\n {\n \"1838\": \"How?\"\n },\n {\n \"1839\": \"For what?\"\n },\n {\n \"1840\": \"Who bribed him?\"\n },\n {\n \"1841\": \"Is he still working?\"\n },\n {\n \"1842\": \"Did he resurface?\"\n },\n {\n \"1843\": \"When?\"\n },\n {\n \"1844\": \"Where?\"\n },\n {\n \"1845\": \"For what?\"\n },\n {\n \"1846\": \"Celebrating what?\"\n },\n {\n \"1847\": \"What was bought?\"\n },\n {\n \"1848\": \"By whom?\"\n },\n {\n \"1849\": \"Was a game played?\"\n },\n {\n \"1850\": \"Where?\"\n },\n {\n \"1851\": \"Did he have people beneath him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"1832\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1833\",\n \"answer\": \"71\"\n },\n {\n \"question_id\": \"1834\",\n \"answer\": \"in 1999\"\n },\n {\n \"question_id\": \"1835\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1836\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1837\",\n \"answer\": \"Saturday\"\n },\n {\n \"question_id\": \"1838\",\n \"answer\": \"taken from bed by policemen\"\n },\n {\n \"question_id\": \"1839\",\n \"answer\": \"suspicion of corruption\"\n },\n {\n \"question_id\": \"1840\",\n \"answer\": \"Gu Junshan\"\n },\n {\n \"question_id\": \"1841\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"1842\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1843\",\n \"answer\": \"January 20\"\n },\n {\n \"question_id\": \"1844\",\n \"answer\": \"with President Xi\"\n },\n {\n \"question_id\": \"1845\",\n \"answer\": \"greeting military officials\"\n },\n {\n \"question_id\": \"1846\",\n \"answer\": \"Chinese Lunar New Year\"\n },\n {\n \"question_id\": \"1847\",\n \"answer\": \"military ranks\"\n },\n {\n \"question_id\": \"1848\",\n \"answer\": \"the defense\"\n },\n {\n \"question_id\": \"1849\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"1850\",\n \"answer\": \"the military\"\n },\n {\n \"question_id\": \"1851\",\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)Hawaii is poised to become the first state in the nation to prohibit the sale of cigarettes and other tobacco products to anybody under age 21. \n\nThe state's legislature on Friday passed a bill raising the minimum legal age -- currently 18 -- to buy tobacco or e-cigarettes. The bill will now go before Gov. David Ige, whose signature would make it law in Hawaii as of January 1, 2016. \n\nForty-six U.S. states permit the sale of tobacco to anyone 18 or older, while Alabama, Alaska, New Jersey and Utah require customers to be at least 19. Dozens of cities and towns, including New York, have already raised the minimum legal age for tobacco purchases to 21. \n\n\"This bold step will reduce smoking among young people, save lives and help make the next generation tobacco-free,\" said Matthew L. Myers, president of the Campaign for Tobacco-Free Kids, in a prepared statement. \n\n\"Increasing the sale age to 21 will reduce tobacco use among youth and young adults, age groups when nearly all smoking begins and that are heavily targeted by the tobacco industry,\" he said. \n\nIt was not clear Monday whether Ige would sign the bill, although on Friday he approved legislation banning the the use of e-cigarettes in all locations where smoking is illegal. A spokeswoman for the governor told CNN in an email that he would need some time to review the bill. \n\nThe legislation comes after a report last month from the Institute of Medicine that said barring people under age 21 from buying cigarettes would have significant public health benefits. Setting the minimum age at 21 nationwide would result in nearly a quarter-million fewer premature deaths and 50,000 fewer deaths from lung cancer among people born between 2000 and 2019, the report estimated. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"63675\": \"How many states allow sale of tobacco to people 18 or older?\"\n },\n {\n \"63676\": \"How many require one to be 19 years old?\"\n },\n {\n \"63677\": \"What are those states?\"\n },\n {\n \"63678\": \"What age has the city of New York raised it to?\"\n },\n {\n \"63679\": \"What state will be the first to ban sale of cigarettes to anyone under 21?\"\n },\n {\n \"63680\": \"What body passed this bill?\"\n },\n {\n \"63681\": \"On what day?\"\n },\n {\n \"63682\": \"What is the age for legal buying of tobacco before this bill came to be?\"\n },\n {\n \"63683\": \"Who is the governor of Hawaii?\"\n },\n {\n \"63684\": \"In what year did he sign this bill into law?\"\n },\n {\n \"63685\": \"What month?\"\n },\n {\n \"63686\": \"What position does Matthew Myers hold?\"\n },\n {\n \"63687\": \"What did Ige's spokeswoman tell CNN?\"\n },\n {\n \"63688\": \"Did she tell them this by a phone call?\"\n },\n {\n \"63689\": \"Through what then?\"\n },\n {\n \"63690\": \"How many premature deaths will this bill prevent according to one institute?\"\n },\n {\n \"63691\": \"And how many deaths from a certain type of cancer?\"\n },\n {\n \"63692\": \"What sort of cancer?\"\n },\n {\n \"63693\": \"Among people born in what years?\"\n },\n {\n \"63694\": \"Were e-cigarettes mentioned in regards to this bill?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"63675\",\n \"answer\": \"Forty-six\"\n },\n {\n \"question_id\": \"63676\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"63677\",\n \"answer\": \"Alabama, Alaska, New Jersey and Utah\"\n },\n {\n \"question_id\": \"63678\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"63679\",\n \"answer\": \"Hawaii\"\n },\n {\n \"question_id\": \"63680\",\n \"answer\": \"The state's legislature\"\n },\n {\n \"question_id\": \"63681\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"63682\",\n \"answer\": \"18\"\n },\n {\n \"question_id\": \"63683\",\n \"answer\": \"David Ige\"\n },\n {\n \"question_id\": \"63684\",\n \"answer\": \"2016\"\n },\n {\n \"question_id\": \"63685\",\n \"answer\": \"January\"\n },\n {\n \"question_id\": \"63686\",\n \"answer\": \"president of the Campaign for Tobacco-Free Kids\"\n },\n {\n \"question_id\": \"63687\",\n \"answer\": \"the governor would need some time to review the bill\"\n },\n {\n \"question_id\": \"63688\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"63689\",\n \"answer\": \"email\"\n },\n {\n \"question_id\": \"63690\",\n \"answer\": \"nearly a quarter-million\"\n },\n {\n \"question_id\": \"63691\",\n \"answer\": \"50,000\"\n },\n {\n \"question_id\": \"63692\",\n \"answer\": \"lung cancer\"\n },\n {\n \"question_id\": \"63693\",\n \"answer\": \"between 2000 and 2019\"\n },\n {\n \"question_id\": \"63694\",\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 trial of Oscar Pistorius, accused of killing his former girlfriend Reeva Steenkamp, was postponed until April 7 because one of two assessors was hospitalized. \n\nThe assessors will help the judge decide the verdict. South Africa does not have jury trials. \n\nPistorius killed Steenkamp on Valentine's Day last year. Of that, there is no doubt. \n\nBut was it murder? \n\nOne of South Africa's toughest prosecutors, Gerrie Nel, has been fighting for most of this month to prove it was. \n\nOn Friday, one of the country's shrewdest defense lawyers, Barry Roux, was scheduled to begin convincing a judge that it wasn't. \n\nNow he will have to wait. \n\nThe verdict will hinge on two questions: \n\nDid the Olympic sprinter know his girlfriend was behind the door in the bathroom of his house when he fired four hollow-point bullets through it in the middle of the night? \n\nAnd if he did not -- if he thought she was a burglar, as he insists -- did he act as a reasonable person would have? \n\nCritical testimony will come from the only living person who was in the house at the time, the \"Blade Runner\" himself. \n\nPistorius was expected to take the stand for the first time Friday to give his side of a story he's been telling for more than a year. \n\nHe woke up in the middle of the night, went to his balcony to bring in a fan -- or two fans, in his most recent version -- heard his bathroom window opening, took his gun, went to the bathroom and fired through the door when he heard a noise in the toilet. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"49770\": \"Who doesn't use a jury?\"\n },\n {\n \"49771\": \"What do they use instead?\"\n },\n {\n \"49772\": \"How many?\"\n },\n {\n \"49773\": \"Who do they assist?\"\n },\n {\n \"49774\": \"with what?\"\n },\n {\n \"49775\": \"Who is on trial?\"\n },\n {\n \"49776\": \"For what?\"\n },\n {\n \"49777\": \"Who was that?\"\n },\n {\n \"49778\": \"When did he do it?\"\n },\n {\n \"49779\": \"What day?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"49770\",\n \"answer\": \"South Africa\"\n },\n {\n \"question_id\": \"49771\",\n \"answer\": \"assessors\"\n },\n {\n \"question_id\": \"49772\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"49773\",\n \"answer\": \"the judge\"\n },\n {\n \"question_id\": \"49774\",\n \"answer\": \"the verdict\"\n },\n {\n \"question_id\": \"49775\",\n \"answer\": \"Oscar Pistorius\"\n },\n {\n \"question_id\": \"49776\",\n \"answer\": \"killing his girlfriend\"\n },\n {\n \"question_id\": \"49777\",\n \"answer\": \"Reeva Steenkamp\"\n },\n {\n \"question_id\": \"49778\",\n \"answer\": \"last year\"\n },\n {\n \"question_id\": \"49779\",\n \"answer\": \"Valentine's Day\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (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 Harry Houdini was a man who astonished and attracted many people during his life. Whether he was escaping from a locked box or making things disappear and reappear, he surely was entertaining. People thought that he must truly have some supernatural powers, but in fact, what Harry really had was drive. Harry was born in Budapest, Hungary, in 1874. His real name was Ehrich Weiss, the third of five children. His family moved to Wisconsin not long after his birth and when he was nine, he was tying ropes all over his backyard and learning amazing tricks to show his friends and neighbors. He visited the local locksmith, and when he had reached his teens he could pick almost any lock that was made. He also learned how to do card tricks. He and his brother, Theo, would often entertain at local parties and clubs for extra money. When Ehrich was 16, he came across a book that would actually change his life: the biography of France's greatest magician, Jean Eugene Robert-Houdin. It showed Ehrich that his hobby of magic and tricks could also be a career. Immediately, he changed his name to Harry Houdini. He and Theo headed out to make a living as magicians. In 1893, they performed at the Chicago World's Fair, and after that they traveled around giving magic shows for anyone willing to listen and pay. Theo grew restless, however, as the jobs became scarce, so he left. His timing was perfect since Harry had just fallen in love with a lovely woman named Bess who was just the right size for slipping in and out of the trunk they used in their magic tricks. They married immediately and then off they went, traveling with circuses and other road shows. Harry learned more and more tricks and spent much of his time reading and studying all kinds of locks, especially handcuffs. However, no matter what tricks they did or how hard they tried, Bess and Harry were not doing well. They tried to sell their shows for seven years and finally, in desperation, they went to Europe. It was the right move. Harry's persistence and constant practice were about to pay off. To get people's attention, he walked into police stations and offered to be handcuffed by all the policemen. They were shocked when he was loose only seconds later. Soon, everyone in Europe was talking about Houdini's astounding skills. He was in high demand and found himself doing more and more dangerous acts. He escaped from a straitjacket hanging upside down over the street; he escaped from locked boxes of all kinds; and, of course, he got out of any kind of handcuffs put on him. After several years in Europe, Bess and Harry returned to the United States in victory. Harry was doing such amazing tricks that people felt he must have special powers. However, few realized how much time he spent practicing and studying. He would do special exercises to keep his body strong, and he would do tricks with his fingers to keep them flexible. He would spend large amounts of time tying and untying knots -- with his toes! For his underwater tricks, he would get in the bathtub and practice holding his breath for longer and longer times. Since many of his tricks involved being deep in icy water, he would pour buckets of ice in the tub to get accustomed to working in the cold. The reason that Harry Houdini was such a success was that he practiced and prepared for whatever might happen. When a college student punched him in the abdomen in 1926, however, he wasn't prepared. The punch did internal damage that not even this magician could get out of. Harry died in 1926 at 52 years of age -- a master of his trade and a true legend.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86156\": \"Who is the story about?\"\n },\n {\n \"86157\": \"Was that his real name?\"\n },\n {\n \"86158\": \"Was he from the US?\"\n },\n {\n \"86159\": \"Where was his family from?\"\n },\n {\n \"86160\": \"Where did they go in 1897?\"\n },\n {\n \"86161\": \"Was he an only child?\"\n },\n {\n \"86162\": \"How many siblings did he have?\"\n },\n {\n \"86163\": \"What was he able to do as a teenager?\"\n },\n {\n \"86164\": \"What did he find that changed his path forever?\"\n },\n {\n \"86165\": \"Who was it about?\"\n },\n {\n \"86166\": \"Was he performing with someone?\"\n },\n {\n \"86167\": \"Who?\"\n },\n {\n \"86168\": \"Was he the only assistant in his lifetime?\"\n },\n {\n \"86169\": \"Who else was his assistant?\"\n },\n {\n \"86170\": \"Were they related?\"\n },\n {\n \"86171\": \"How?\"\n },\n {\n \"86172\": \"Where did they eventually succeed?\"\n },\n {\n \"86173\": \"What was his secret in remaining successful?\"\n },\n {\n \"86174\": \"What happened that he was unprepared for?\"\n },\n {\n \"86175\": \"Did he live?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86156\",\n \"answer\": \"Harry Houdini\"\n },\n {\n \"question_id\": \"86157\",\n \"answer\": \"Ehrich Weiss\"\n },\n {\n \"question_id\": \"86158\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86159\",\n \"answer\": \"Budapest, Hungary\"\n },\n {\n \"question_id\": \"86160\",\n \"answer\": \"Europe\"\n },\n {\n \"question_id\": \"86161\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86162\",\n \"answer\": \"Four\"\n },\n {\n \"question_id\": \"86163\",\n \"answer\": \"he could pick almost any lock that was made\"\n },\n {\n \"question_id\": \"86164\",\n \"answer\": \"a book\"\n },\n {\n \"question_id\": \"86165\",\n \"answer\": \"Jean Eugene Robert-Houdin\"\n },\n {\n \"question_id\": \"86166\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86167\",\n \"answer\": \"his brother, Theo\"\n },\n {\n \"question_id\": \"86168\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"86169\",\n \"answer\": \"woman named Bess\"\n },\n {\n \"question_id\": \"86170\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"86171\",\n \"answer\": \"husband and wife\"\n },\n {\n \"question_id\": \"86172\",\n \"answer\": \"Europe\"\n },\n {\n \"question_id\": \"86173\",\n \"answer\": \"practicing and studying\"\n },\n {\n \"question_id\": \"86174\",\n \"answer\": \"college student punched him in the abdomen\"\n },\n {\n \"question_id\": \"86175\",\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 Indiana is a U.S. state located in the midwestern and Great Lakes regions of North America. Indiana is the 38th largest by area and the 17th most populous of the 50 United States. Its capital and largest city is Indianapolis. Indiana was admitted to the United States as the 19th U.S. state on December 11, 1816. Indiana borders Lake Michigan to the northwest, Michigan to the north, Ohio to the east, Kentucky to the south and southeast, and Illinois to the west. \n\nBefore becoming a territory, varying cultures of indigenous peoples and historic Native Americans inhabited Indiana for thousands of years. Since its founding as a territory, settlement patterns in Indiana have reflected regional cultural segmentation present in the Eastern United States; the state's northernmost tier was settled primarily by people from New England and New York, Central Indiana by migrants from the Mid-Atlantic states and from adjacent Ohio, and Southern Indiana by settlers from the Southern states, particularly Kentucky and Tennessee. \n\nIndiana has a diverse economy with a gross state product of $341.9 billion in 2016. Indiana has several metropolitan areas with populations greater than 100,000 and a number of smaller industrial cities and towns. Indiana is home to professional sports teams, including the NFL's Indianapolis Colts and the NBA's Indiana Pacers, and hosts several notable athletic events, such as the Indianapolis 500 and Brickyard 400 motorsports races.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"42733\": \"Which state is this?\"\n },\n {\n \"42734\": \"Of which country?\"\n },\n {\n \"42735\": \"Where is it?\"\n },\n {\n \"42736\": \"Is it the biggest state?\"\n },\n {\n \"42737\": \"Which ranking is it?\"\n },\n {\n \"42738\": \"What about in physical size?\"\n },\n {\n \"42739\": \"When was it created?\"\n },\n {\n \"42740\": \"Which number does that make it?\"\n },\n {\n \"42741\": \"What is above it?\"\n },\n {\n \"42742\": \"And on the right?\"\n },\n {\n \"42743\": \"Left?\"\n },\n {\n \"42744\": \"Below?\"\n },\n {\n \"42745\": \"What body of water is nearby?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"42733\",\n \"answer\": \"Indiana\"\n },\n {\n \"question_id\": \"42734\",\n \"answer\": \"U.S.\"\n },\n {\n \"question_id\": \"42735\",\n \"answer\": \"located in the midwestern and Great Lakes regions of North America.\"\n },\n {\n \"question_id\": \"42736\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"42737\",\n \"answer\": \"17th\"\n },\n {\n \"question_id\": \"42738\",\n \"answer\": \"38th largest\"\n },\n {\n \"question_id\": \"42739\",\n \"answer\": \"December 11, 1816.\"\n },\n {\n \"question_id\": \"42740\",\n \"answer\": \"19th\"\n },\n {\n \"question_id\": \"42741\",\n \"answer\": \"Michigan\"\n },\n {\n \"question_id\": \"42742\",\n \"answer\": \"Ohio\"\n },\n {\n \"question_id\": \"42743\",\n \"answer\": \"Illinois\"\n },\n {\n \"question_id\": \"42744\",\n \"answer\": \"Kentucky\"\n },\n {\n \"question_id\": \"42745\",\n \"answer\": \"Lake Michigan\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIII \n\nIN WHICH THE SUPERCARGO IS CORNERED \n\nFrom one street corner Dave and Roger hurried to another, looking in every direction for some sign of Captain Marshall. This hunt they kept up for the best part of half an hour, but without success. \n\n\"He is certainly nowhere in this vicinity,\" said the senator's son. \"I wonder where he can be keeping himself.\" \n\nThey walked on more slowly, and at the entrance to a lane came to another halt. Then, chancing to look into the lane, Dave uttered a short cry: \n\n\"There he is!\" \n\nComing along the lane was Captain Marshall. His step was an uncertain one, and he pitched from side to side. As the two boys ran forward, the master of the _Stormy Petrel_ gave a lurch and landed on some old boxes with a crash. \n\n\"Oh, Dave, can this be possible!\" murmured Roger. \"I did not think the captain would do it.\" \n\n\"Let us help him to the ship,\" answered Dave. He was as much shocked as his companion, and he could not help but think of what the supercargo had said. \n\n\"Oh, is it you, boys?\" mumbled the captain, as he espied them. \"I want to--to get back to the ship.\" \n\n\"We'll help you,\" said Dave. \n\n\"I've had an awful night--my mind is in a perfect whirl,\" went on the master of the _Stormy Petrel_. \n\n\"We'll soon have you safe on the bark,\" put in Roger. \n\nThe two assisted the captain to his feet. His eyes had a peculiar stare in them. Suddenly he clapped his hand to his pocket. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54651\": \"How many people were running about looking for someone?\"\n },\n {\n \"54652\": \"What were their names?\"\n },\n {\n \"54653\": \"Who were they looking for?\"\n },\n {\n \"54654\": \"How long did they search?\"\n },\n {\n \"54655\": \"Who spotted him first?\"\n },\n {\n \"54656\": \"Where was the Captain?\"\n },\n {\n \"54657\": \"Was he walking steadily?\"\n },\n {\n \"54658\": \"What did he fall on?\"\n },\n {\n \"54659\": \"Did he recognize the boys?\"\n },\n {\n \"54660\": \"Where did he want to go?\"\n },\n {\n \"54661\": \"Where did they decide to take him?\"\n },\n {\n \"54662\": \"What was the ship's name?\"\n },\n {\n \"54663\": \"How did the Captain describe his state of mind?\"\n },\n {\n \"54664\": \"Were the boys surprised at this state?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54651\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"54652\",\n \"answer\": \"Dave and Roger\"\n },\n {\n \"question_id\": \"54653\",\n \"answer\": \"Captain Marshall\"\n },\n {\n \"question_id\": \"54654\",\n \"answer\": \"for the best part of half an hour\"\n },\n {\n \"question_id\": \"54655\",\n \"answer\": \"Dave\"\n },\n {\n \"question_id\": \"54656\",\n \"answer\": \"Coming along the lane\"\n },\n {\n \"question_id\": \"54657\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"54658\",\n \"answer\": \"some old boxes\"\n },\n {\n \"question_id\": \"54659\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"54660\",\n \"answer\": \"back to the ship\"\n },\n {\n \"question_id\": \"54661\",\n \"answer\": \"on the bark\"\n },\n {\n \"question_id\": \"54662\",\n \"answer\": \"the Stormy Petrel\"\n },\n {\n \"question_id\": \"54663\",\n \"answer\": \"in a perfect whirl\"\n },\n {\n \"question_id\": \"54664\",\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 I don't think I can win the race Tim told his parents over breakfast. His mother asked \"Why not?\" but his father was silent. Tim knew his father didn't believe he could be a racer: only last year, he had sent Tim to a doctor to ask why his son wasn't a better runner. The doctor told him Tim could be anything he wanted to be, and maybe he didn't like to run. \n\nTim, who had always preferred a good book to P.E. class, wanted to show his family that he really could be what they wanted him to be, so he spent his allowance on a pair of green running shoes and signed up for his school's Spring Fun Run. \n\nTim answered, \"I'm going to try to win, but Angela is so quick! No one ever beats her at recess.\" \n\n\"Well, we'll be there for you, either way\" his mother said. \n\nTim took an apple and walked to the bus. Since the race was after school today (school was letting out at 3:00 today, instead of 3:15), he knew he would be too nervous to think about anything else until it began. He didn't even bring his new book with him, an action book starring an orphan named Simon that Tim sometimes pretended to be. \n\n3:30 arrived and the race was about to begin. All the other students had brought running shorts, but Tim was going to have to run in his school pants. Suddenly, he saw that his shoes were untied. As he bent down to tie them, one of the older boys kicked the back of his knee, making him fall down right as the race began. By the time he got up and tied his shoes, he saw he would finish in last place, as the other kids were much farther ahead of him. \n\nIt was almost 4:00 before Tim saw the end of the run. By the time Tim reached the finish line, the group of parents waiting on their kids was very small, as some kids had been finished for a long time. Tim's father asked, \"What took you so long? I'm surprised to see you here at all! Why did you sign up for this when we all knew you wouldn't win?\" \n\nTim thought about why he signed up. It wasn't about winning the race, or making his father proud. It was about finishing, and showing himself that the doctor was right: he could be anything he wanted to be, like his favorite character, Simon.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"65722\": \"What did Tim say?\"\n },\n {\n \"65723\": \"to whom?\"\n },\n {\n \"65724\": \"when?\"\n },\n {\n \"65725\": \"What did his mother say?\"\n },\n {\n \"65726\": \"His father?\"\n },\n {\n \"65727\": \"What did Tim think?\"\n },\n {\n \"65728\": \"What did his dad do?\"\n },\n {\n \"65729\": \"for what?\"\n },\n {\n \"65730\": \"When?\"\n },\n {\n \"65731\": \"What did he say?\"\n },\n {\n \"65732\": \"What did Tim prefer?\"\n },\n {\n \"65733\": \"to what?\"\n },\n {\n \"65734\": \"What did he want to show?\"\n },\n {\n \"65735\": \"What was that?\"\n },\n {\n \"65736\": \"What did he buy?\"\n },\n {\n \"65737\": \"What color?\"\n },\n {\n \"65738\": \"What did he sign up for?\"\n },\n {\n \"65739\": \"What was he going to try to do?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"65722\",\n \"answer\": \"I don't think I can win the race\"\n },\n {\n \"question_id\": \"65723\",\n \"answer\": \"his parents\"\n },\n {\n \"question_id\": \"65724\",\n \"answer\": \"over breakfast.\"\n },\n {\n \"question_id\": \"65725\",\n \"answer\": \"\\\"Why not?\\\"\"\n },\n {\n \"question_id\": \"65726\",\n \"answer\": \"he was silent\"\n },\n {\n \"question_id\": \"65727\",\n \"answer\": \"his father didn't believe he could be a racer:\"\n },\n {\n \"question_id\": \"65728\",\n \"answer\": \"Sent him to the doctors\"\n },\n {\n \"question_id\": \"65729\",\n \"answer\": \"to ask why his son wasn't a better runner.\"\n },\n {\n \"question_id\": \"65730\",\n \"answer\": \"last year,\"\n },\n {\n \"question_id\": \"65731\",\n \"answer\": \"Tim could be anything he wanted to be, and maybe he didn't like to run.\"\n },\n {\n \"question_id\": \"65732\",\n \"answer\": \"A good book\"\n },\n {\n \"question_id\": \"65733\",\n \"answer\": \"P.E. class,\"\n },\n {\n \"question_id\": \"65734\",\n \"answer\": \"he really could be what they wanted him to be,\"\n },\n {\n \"question_id\": \"65735\",\n \"answer\": \"a runner\"\n },\n {\n \"question_id\": \"65736\",\n \"answer\": \"shoes\"\n },\n {\n \"question_id\": \"65737\",\n \"answer\": \"green\"\n },\n {\n \"question_id\": \"65738\",\n \"answer\": \"Spring Fun Run.\"\n },\n {\n \"question_id\": \"65739\",\n \"answer\": \"to win\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- [WARNING: The following contains spoilers for the \"Doctor Who\" season finale.] \n\nPermission to squee? \n\nSaturday night's \"Doctor Who\" season finale was a roller coaster of feels, with deaths, goodbyes and one incredible James Bond-esque move by the Doctor. \n\nIt was the end of the first season of Peter Capaldi as the Twelfth Doctor. \n\nHere are five moments that had us cheering or reaching for the tissues: \n\n1. The Master kills Osgood \n\nThis one really hurt. UNIT captured the Master and made the Doctor the president of Earth, as they faced a massive invasion by dead-people-turned-Cybermen. \n\nThe Master tried the old talking-to-your-captor trick to bowtie-wearing geek Osgood (\"Bowties are cool,\" after all), telling Osgood that she was about to be killed within 60 seconds. \n\nUnfortunately for Osgood, the Master was no longer handcuffed and made good on her promise. \n\nIt was part of a terrific nutso performance by Michelle Gomez as the Master, but we'll really miss Osgood, who was like the ultimate \"Doctor Who\" fan. \n\n2. Windsurfing into the TARDIS \n\nThe plane that carried the Doctor and members of UNIT exploded, and the Doctor was sent flying out of it, about to crash to the ground. Was this how it would all end? \n\nInstead, the Doctor spotted the TARDIS and aimed himself to land right inside it. Wow! \n\nThe Master's AI interface assistant Seb was quite impressed by this, but the Master destroyed him as he squeed. \n\n3. Clara reunites with Danny \n\nAfter talking her way out of being killed by the Cybermen by impersonating the Doctor, Clara found herself in a graveyard, and discovered that an approaching Cyberman was her late boyfriend, Danny, who still had emotions, but was begging her to switch them off. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95014\": \"What show had its season finale?\"\n },\n {\n \"95015\": \"Was it calm?\"\n },\n {\n \"95016\": \"How is it described?\"\n },\n {\n \"95017\": \"Who was the 12th doctor?\"\n },\n {\n \"95018\": \"What happened to the plane?\"\n },\n {\n \"95019\": \"Did he die?\"\n },\n {\n \"95020\": \"Who was the AI interface assistant?\"\n },\n {\n \"95021\": \"Who was made president of the planet?\"\n },\n {\n \"95022\": \"Did the master follow through on a promise?\"\n },\n {\n \"95023\": \"Who was killed?\"\n },\n {\n \"95024\": \"Who was invading?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95014\",\n \"answer\": \"\\\"Doctor Who\\\"\"\n },\n {\n \"question_id\": \"95015\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95016\",\n \"answer\": \"\\\"a roller coaster of feels\\\"\"\n },\n {\n \"question_id\": \"95017\",\n \"answer\": \"Peter Capaldi\"\n },\n {\n \"question_id\": \"95018\",\n \"answer\": \"it exploded\"\n },\n {\n \"question_id\": \"95019\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"95020\",\n \"answer\": \"Seb\"\n },\n {\n \"question_id\": \"95021\",\n \"answer\": \"the Doctor\"\n },\n {\n \"question_id\": \"95022\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"95023\",\n \"answer\": \"Osgood\"\n },\n {\n \"question_id\": \"95024\",\n \"answer\": \"dead-people-turned-Cybermen\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Wayne Rooney scored his first goal in open play since March last year to help Manchester United to a 2-1 victory over West Bromwich Albion at the Hawthorns on Saturday. \n\nThe striker scored after just three minutes heading home from a Patrice Evra cross to end his marathon goal drought. \n\nFootball's heroes and villains of 2010 \n\nBut United's lead didn't last long as James Morrison fired a spectacular 25-yard equalizer, volleying past Tomasz Kuszczak into the top left corner after 14 minutes. \n\nAnd West Brom should have gone ahead in the 62nd minute when referee Chris Foy awarded them a penalty when Rio Ferdinand brought down Jerome Thomas. \n\nBut Peter Odemwingie could only drag his spot kick wide of the Kuszczak's right post. \n\nIt was a miss that the Baggies were quickly made to pay for as Javier Hernandez (who came on for Dimitar Berbatov after 60 minutes) headed home unopposed from a Wayne Rooney corner with quarter of an hour remaining. \n\nManchester City kept up the pressure on United with a 1-0 win over Blackpool at Eastlands. \n\nAdam Johnson's deflected shot found the net after 34 minutes. \n\nCity were the dominant side throughout but Carlos Tevez squandered a series of chances to put the game to bed, including a missed penalty in the first half. \n\nThe win puts City level on points with United on 41 points, but United have two games in hand over Roberto Mancini's men. \n\nArsenal enjoyed a comfortable 3-0 win over Birmingham at St Andrews to maintain their title challenge. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37371\": \"Who scored his first goal?\"\n },\n {\n \"37372\": \"did he help manchester united win?\"\n },\n {\n \"37373\": \"when?\"\n },\n {\n \"37374\": \"who was the victory against?\"\n },\n {\n \"37375\": \"how long did it take him to score after the game began?\"\n },\n {\n \"37376\": \"did it end his drought?\"\n },\n {\n \"37377\": \"who volleyed past tomasz?\"\n },\n {\n \"37378\": \"was west brom given a penalty?\"\n },\n {\n \"37379\": \"who's shot was deflected?\"\n },\n {\n \"37380\": \"did his shot go in eventually?\"\n },\n {\n \"37381\": \"after how long?\"\n },\n {\n \"37382\": \"who failed to end the game by missing a penalty shot?\"\n },\n {\n \"37383\": \"dud city gained enough points to be even with United?\"\n },\n {\n \"37384\": \"how many games does united have over roberto's men?\"\n },\n {\n \"37385\": \"does arsenal have a lead over birmingham?\"\n },\n {\n \"37386\": \"how big of a lead?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37371\",\n \"answer\": \"Wayne Rooney\"\n },\n {\n \"question_id\": \"37372\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37373\",\n \"answer\": \"March last year\"\n },\n {\n \"question_id\": \"37374\",\n \"answer\": \"West Bromwich Albion\"\n },\n {\n \"question_id\": \"37375\",\n \"answer\": \"three minutes\"\n },\n {\n \"question_id\": \"37376\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37377\",\n \"answer\": \"James Morrison\"\n },\n {\n \"question_id\": \"37378\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37379\",\n \"answer\": \"Adam Johnson's\"\n },\n {\n \"question_id\": \"37380\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37381\",\n \"answer\": \"34 minutes\"\n },\n {\n \"question_id\": \"37382\",\n \"answer\": \"Carlos Tevez\"\n },\n {\n \"question_id\": \"37383\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"37384\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"37385\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"37386\",\n \"answer\": \"3-0\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 afternoon, Kate and her brother Bob went out to play.Kate was eight, and Bob was ten.\"Let's go to the bridge and we can see fish in the river.\" said Kate. \"I don't know...\" Bob said.\"Mum told us, 'don't go on the bridge.' She said it's dangerous.\" Kate said, \"I am not afraid.Are you?\" They walked onto the bridge and began looking for fish in the river.The bridge was a train bridge.Trains went over the bridge three times a day. The children were standing in the middle of the bridge when they heard a loud noise.\"A train is coming!\" Bob shouted.\"Run!\" He ran to the end of the bridge.He was safe. Kate ran, too, but she fell.The train was coming fast.Kate ran towards Bob.She fell again right on the train tracks .There was no time to leave.She had to lie down between the tracks.A few seconds later, the train went over the girl, but she was not hurt at all.She stood up and said to Bob, \"Don't tell Mum! Don't tell Mum!\" At last their mother found out about the story.She was angry because they went on the bridge.But she was happy that Kate was all right.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"95484\": \"What happened when they were in the middle of the bridge?\"\n },\n {\n \"95485\": \"What kind of bridge was it?\"\n },\n {\n \"95486\": \"What was the noise?\"\n },\n {\n \"95487\": \"What did they do when they heard it?\"\n },\n {\n \"95488\": \"Did they make it?\"\n },\n {\n \"95489\": \"Both of them?\"\n },\n {\n \"95490\": \"How many times did Kate fall?\"\n },\n {\n \"95491\": \"What did she do the second time?\"\n },\n {\n \"95492\": \"Was she hurt?\"\n },\n {\n \"95493\": \"Why were they on the bridge?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"95484\",\n \"answer\": \"they heard a loud noise\"\n },\n {\n \"question_id\": \"95485\",\n \"answer\": \"train\"\n },\n {\n \"question_id\": \"95486\",\n \"answer\": \"train\"\n },\n {\n \"question_id\": \"95487\",\n \"answer\": \"ran\"\n },\n {\n \"question_id\": \"95488\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95489\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"95490\",\n \"answer\": \"twice\"\n },\n {\n \"question_id\": \"95491\",\n \"answer\": \"lie down between the tracks\"\n },\n {\n \"question_id\": \"95492\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"95493\",\n \"answer\": \"looking for fish\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- All big ideas start small, and Calle 13 -- a wildly popular alternative urban band from Puerto Rico -- is no exception. \n\nIts members, Rene Perez, who goes by \"Residente,\" and Eduardo Cabra, \"Visitante,\" are stepbrothers. When their parents divorced, Cabra would visit Perez at his father's house on 13th Street, or Calle 13. \n\nHe was required to identify himself to enter, as either a resident, \"residente\" or visitor, \"visitante,\" in Spanish. \n\nThe names stuck. \n\n\"Later, it took on another meaning, with the question of whether immigrants are residents or visitors,\" said Perez, who along with Cabra, recently sat down to talk with CNN en EspaÃ±ol's Claudia Palacios. \"But that was how it started.\" \n\nNeither brother could have imagined then what Calle 13 would become -- one of the most highly praised and talked-about groups to come out of Latin America in years. It has won more than 20 Grammys and moved beyond its reggaeton roots to include instruments and sounds from all over the region, winning critical and popular praise in the process. \n\nThough raunchy, the group's lyrics are often hard-hitting on social issues, and Perez is particularly well-known for being outspoken about poverty, Puerto Rican independence and education. \n\nAsked how he views his career now, Perez said he's matured and made some adjustments so that people can better hear and understand his message. \n\n\"I liked to use bad words,\" said Perez, who raps and writes the group's lyrics. \"Because it seemed to me it gave a reality that's missing in music.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84599\": \"Where is Calle 13 from?\"\n },\n {\n \"84600\": \"How do all big ideas start?\"\n },\n {\n \"84601\": \"Are the members cousins?\"\n },\n {\n \"84602\": \"What is their relationship?\"\n },\n {\n \"84603\": \"Who was required to identify himself as a visitor or resident?\"\n },\n {\n \"84604\": \"Who does Claudia Palacios work for?\"\n },\n {\n \"84605\": \"How many grammy's has the group won?\"\n },\n {\n \"84606\": \"Does the group always have wholesome lyrics?\"\n },\n {\n \"84607\": \"Where was this article published?\"\n },\n {\n \"84608\": \"What type of band is Calle 13?\"\n },\n {\n \"84609\": \"What does Residente mean in English?\"\n },\n {\n \"84610\": \"What does Visitante mean in English?\"\n },\n {\n \"84611\": \"Is the group well known in Latin America?\"\n },\n {\n \"84612\": \"What kind of issues does the band address?\"\n },\n {\n \"84613\": \"How does Perez describe his career now?\"\n },\n {\n \"84614\": \"Why did the band make adjustments?\"\n },\n {\n \"84615\": \"Who writes the groups lyrics?\"\n },\n {\n \"84616\": \"Does he rap also?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84599\",\n \"answer\": \"Puerto Rico\"\n },\n {\n \"question_id\": \"84600\",\n \"answer\": \"small\"\n },\n {\n \"question_id\": \"84601\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84602\",\n \"answer\": \"They are stepbrothers\"\n },\n {\n \"question_id\": \"84603\",\n \"answer\": \"Cabra\"\n },\n {\n \"question_id\": \"84604\",\n \"answer\": \"CNN en Espanol\"\n },\n {\n \"question_id\": \"84605\",\n \"answer\": \"More than 20\"\n },\n {\n \"question_id\": \"84606\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"84607\",\n \"answer\": \"(CNN)\"\n },\n {\n \"question_id\": \"84608\",\n \"answer\": \"Alternative\"\n },\n {\n \"question_id\": \"84609\",\n \"answer\": \"Resident\"\n },\n {\n \"question_id\": \"84610\",\n \"answer\": \"Visitor\"\n },\n {\n \"question_id\": \"84611\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84612\",\n \"answer\": \"social issues\"\n },\n {\n \"question_id\": \"84613\",\n \"answer\": \"It has matured\"\n },\n {\n \"question_id\": \"84614\",\n \"answer\": \"so that people can better hear and understand his message.\"\n },\n {\n \"question_id\": \"84615\",\n \"answer\": \"Perez\"\n },\n {\n \"question_id\": \"84616\",\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 Neoplatonism is a modern term for a strand of Platonic philosophy that started with Plotinus in the 3rd century CE. Neoplatonic philosophy derives the whole of reality from a single principle, \"the One,\" an idea which is still popular in modern-day spirituality. \n\nThree distinct phases in Classical Neoplatonism after Plotinus can be distinguished: the work of his student Porphyry; that of Iamblichus and his school in Syria; and the period in the fifth and sixth centuries, when the Academies in Alexandria and Athens flourished. The work of Proclus (412-485) had a lasting influence in the dissemination of Neoplatonism after the closing of the Platonic Academy in Athens in 529 CE by Justinian I. \n\nIn the Middle Ages, Neoplatonic ideas were studied and discussed by Islamic, Christian, and Jewish thinkers. In the Islamic cultural sphere, Neoplatonic texts were available in Arabic translations, and notable thinkers such as al-Farabi, Solomon ibn Gabirol (\"Avicebron\"), Avicenna and Moses Maimonides incorporated Neoplatonic elements into their own thinking. \n\nLatin translations of Late Ancient Neoplatonic texts were first available in the Christian West in the 9th century, and became influential from the 12th century onward. Thomas Aquinas had direct access to works by Proclus, Simplicius and Pseudo-Dionysius the Areopagite, and he knew about other Neoplatonists, such as Plotinus and Porphyry, through secondhand sources. Meister Eckhart was also influenced by Neoplatonism, propagating a contemplative way of life which points to the Godhead beyond the nameable God.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44866\": \"What fist became available in the 9th Century?\"\n },\n {\n \"44867\": \"When did they become more meaningful?\"\n },\n {\n \"44868\": \"What does Neoplatonism mean?\"\n },\n {\n \"44869\": \"When did it begin?\"\n },\n {\n \"44870\": \"By who?\"\n },\n {\n \"44871\": \"Anyone else?\"\n },\n {\n \"44872\": \"Who?\"\n },\n {\n \"44873\": \"Is it used today?\"\n },\n {\n \"44874\": \"How so?\"\n },\n {\n \"44875\": \"Did different religions use it?\"\n },\n {\n \"44876\": \"When?\"\n },\n {\n \"44877\": \"Which ones?\"\n },\n {\n \"44878\": \"Can you give an example of someone famous that used it?\"\n },\n {\n \"44879\": \"Any others?\"\n },\n {\n \"44880\": \"When was he born?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44866\",\n \"answer\": \"Latin translations of Late Ancient Neoplatonic texts\"\n },\n {\n \"question_id\": \"44867\",\n \"answer\": \"from the 12th century onward.\"\n },\n {\n \"question_id\": \"44868\",\n \"answer\": \"it is a modern term for a strand of Platonic philosophy\"\n },\n {\n \"question_id\": \"44869\",\n \"answer\": \"3rd century CE\"\n },\n {\n \"question_id\": \"44870\",\n \"answer\": \"Plotinus\"\n },\n {\n \"question_id\": \"44871\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44872\",\n \"answer\": \"Porphyry\"\n },\n {\n \"question_id\": \"44873\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44874\",\n \"answer\": \"it is still popular in modern-day spirituality\"\n },\n {\n \"question_id\": \"44875\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44876\",\n \"answer\": \"In the Middle Ages\"\n },\n {\n \"question_id\": \"44877\",\n \"answer\": \"by Islamic, Christian, and Jewish thinkers\"\n },\n {\n \"question_id\": \"44878\",\n \"answer\": \"al-Farabi\"\n },\n {\n \"question_id\": \"44879\",\n \"answer\": \"Solomon ibn Gabirol (\\\"Avicebron\\\")\"\n },\n {\n \"question_id\": \"44880\",\n \"answer\": \"unknown\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n John \"Mad Jack\" Mytton (1796--1834) was a carefree English aristocrat who was born into immense wealth. However, he died a poor man after a life that was once described as \" _ \". So, what went wrong? \n\nAs a young boy, Jack went to Westminster School, but after only one year he was expelled for fighting with a teacher. He was then sent to Harrow School but only lasted three days before he was also thrown out. He was eventually educated by private tutors. \n\nAfter school, Jack went to Cambridge University. He arrived with 2,000 bottles of port, but left without graduating - he found university life boring. Later, he joined the army, enlisting with the 7th Hussars. As a young officer, he spent a year with the regiment in France as part of the occupation force after Napoleon's defeat in 1815. Jack passed the time gambling and drinking before resigning his commission. At the age of 21, he returned to his country house just in time to receive his inheritance. \n\nWith an annual income of over PS800,000 in today's money, Jack was extremely rich... but it didn't take him long to spend it all. In 1819, he became an MP. In order to secure his seat, he offered voters PS10 notes to vote for him, spending more than PS10,000 in total. However, he found politics dull and went to parliament only once. Back at home, he would often drop bank notes in the gardens of his estate, and gave his servants vast amounts of spending money. Once he lost his racetrack winnings (several thousand pounds) when the wind blew all the money away. \n\nOne of Jack's favorite pastimes was hunting. He would go in any kind of weather, occasionally with no clothes on. Sometimes, he would get up in the middle of the night, take off with a gun to look for something to shoot. \n\nJack also kept a large number of pets. These included about 2,000 dogs. Some were fed on steak and Champagne and even wore livery. A favorite horse had free range inside Halston Hall and would often lie with Jack in front of the fire. \n\nJack was a bit of a practical joker, too. He once left a horse in the bedroom of a guest. Another visitor fell asleep and woke up to find a live bear and two bulldogs in his bed. In 1826, as a result of a bet, Jack rode his horse into the Bedford Hotel, up the grand staircase and onto the balcony. Then, still sitting on the horse, he jumped off the balcony, landing among the diners in the restaurant below. \n\nAnother time, he invited a local doctor to dine at Halston Hall. As soon as the doctor had left, Jack put on a highwayman's costume and raced ahead to rob the unsuspecting man. On another occasion, a passenger in Jack's carriage admitted that he'd never been in an accident, so Jack drove the carriage up a hill and turned it over. He would also slip red-hot coals into people's pockets as a joke. \n\nEventually, Jack ran out of money and fell into debt. In 1830, he fled to France to avoid his creditors , but returned a couple of years later, ending up in prison in Southwark, London. Jack died there in 1834, a poor, lonely man. [(<<>> 20119 \"Hell Raiser\")]\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33578\": \"Where did Jack go when he finished school?\"\n },\n {\n \"33579\": \"how many bottles of port did he go up with?\"\n },\n {\n \"33580\": \"did he graduate?\"\n },\n {\n \"33581\": \"what was his Surname?\"\n },\n {\n \"33582\": \"and his nickname?\"\n },\n {\n \"33583\": \"how much income did he get a year?\"\n },\n {\n \"33584\": \"was he poor?\"\n },\n {\n \"33585\": \"which reigment of the army did he enlist in?\"\n },\n {\n \"33586\": \"the 8th hussars?\"\n },\n {\n \"33587\": \"where did he serve?\"\n },\n {\n \"33588\": \"what year?\"\n },\n {\n \"33589\": \"what did he do while there?\"\n },\n {\n \"33590\": \"how old was he on his return?\"\n },\n {\n \"33591\": \"how much did he spend to get elected?\"\n },\n {\n \"33592\": \"how much time did he spend in parliament?\"\n },\n {\n \"33593\": \"what was one of his favorite hobbies?\"\n },\n {\n \"33594\": \"did he hunt with clothes on always?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33578\",\n \"answer\": \"Cambridge University.\"\n },\n {\n \"question_id\": \"33579\",\n \"answer\": \"2,000\"\n },\n {\n \"question_id\": \"33580\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33581\",\n \"answer\": \"Mytton\"\n },\n {\n \"question_id\": \"33582\",\n \"answer\": \"\\\"Mad Jack\\\"\"\n },\n {\n \"question_id\": \"33583\",\n \"answer\": \"over PS800,000\"\n },\n {\n \"question_id\": \"33584\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33585\",\n \"answer\": \"army\"\n },\n {\n \"question_id\": \"33586\",\n \"answer\": \"7th Hussars.\"\n },\n {\n \"question_id\": \"33587\",\n \"answer\": \"in France\"\n },\n {\n \"question_id\": \"33588\",\n \"answer\": \"1815\"\n },\n {\n \"question_id\": \"33589\",\n \"answer\": \"gambling and drinking\"\n },\n {\n \"question_id\": \"33590\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"33591\",\n \"answer\": \"PS10,000\"\n },\n {\n \"question_id\": \"33592\",\n \"answer\": \"only went once\"\n },\n {\n \"question_id\": \"33593\",\n \"answer\": \"hunting\"\n },\n {\n \"question_id\": \"33594\",\n \"answer\": \"np\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Presidential candidates Sens. Barack Obama and John McCain are detailing their plans for solving the country's energy crisis and criticizing each other's proposals this week as they campaign in battleground states. \n\nHere's a look at the candidates' energy proposals: \n\nOverall strategy \n\nMcCain, the presumptive GOP nominee, has proposed a national energy strategy that would rely on the technological prowess of American industry and science. \n\nMcCain has said he would work to reduce carbon emissions 60 percent below 1990 levels by 2050. He has said he would commit $2 billion annually for 15 years to advance clean coal technology. \n\nHe also has pledged to oppose a windfall profits tax on oil companies that, according to his campaign Web site, \"will ultimately result in increasing our dependence on foreign oil and hinder investment in domestic exploration.\" \n\nMcCain also believes the U.S. needs to deploy SmartMeter technologies, which collect real-time data on the electricity use of individual homes and businesses. \n\nMeanwhile, Obama laid out his comprehensive energy plan Monday in Lansing, Michigan. \n\n\"If I am president, I will immediately direct the full resources of the federal government and the full energy of the private sector to a single, overarching goal -- in 10 years, we will eliminate the need for oil from the entire Middle East and Venezuela,\" the presumptive Democratic nominee told a crowd. \n\nObama's plan also would invest $150 billion over the next 10 years and leverage billions more in private capital to build a new energy economy that he said would harness American energy and create 5 million new jobs. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69032\": \"Who are the two presidential hopefuls?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69032\",\n \"answer\": \"Barack Obama and John McCain\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. \n\nOn 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. \n\nBy 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 difficulties, 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, \n\nPeople 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 \"72971\": \"Who was born on the 18th of Jan?\"\n },\n {\n \"72972\": \"Where was she born?\"\n },\n {\n \"72973\": \"What sickness did she have?\"\n },\n {\n \"72974\": \"How old was she?\"\n },\n {\n \"72975\": \"How old was she when she was able to move vertically?\"\n },\n {\n \"72976\": \"What year did she got a brain assist?\"\n },\n {\n \"72977\": \"Did she make a lemonaide front?\"\n },\n {\n \"72978\": \"How much currency was achieved?\"\n },\n {\n \"72979\": \"How old was she when she died?\"\n },\n {\n \"72980\": \"What time of year?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72971\",\n \"answer\": \"Alexandra Scott\"\n },\n {\n \"question_id\": \"72972\",\n \"answer\": \"Manchester,Connecticut\"\n },\n {\n \"question_id\": \"72973\",\n \"answer\": \"neuroblastoma\"\n },\n {\n \"question_id\": \"72974\",\n \"answer\": \"almost one\"\n },\n {\n \"question_id\": \"72975\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"72976\",\n \"answer\": \"2000\"\n },\n {\n \"question_id\": \"72977\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"72978\",\n \"answer\": \"$2,000\"\n },\n {\n \"question_id\": \"72979\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"72980\",\n \"answer\": \"August\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IV. \n\nHAL STANDS UP FOR HIMSELF. \n\nHal now found himself in a tight situation. Felix Hardwick had him by the throat, and was slowly but surely choking him. \n\n\"Don't! don't!\" cried Mr. Sumner, in great alarm. \n\n\"The miserable tramp!\" cried Hardwick. \"I'll teach him to call a gentleman a thief.\" \n\nHe continued his choking process, paying no attention to his employer's efforts to haul him away. \n\nBut by this time Hal began to realize that Hardwick was in earnest. He began to kick, and presently landed a blow in the book-keeper's stomach that completely winded the man. \n\nHardwick relaxed his hold, and Hal sprang away. \n\n\"Stop! stop!\" ordered Mr. Sumner. \"I will not have such disgraceful scenes in this office.\" \n\n\"But he intimated I was a thief,\" said Hardwick, trying to catch his wind. \n\n\"And he said the same of me,\" retorted Hal. \n\n\"So you are!\" \n\n\"I never stole a thing in my life, Mr. Sumner.\" Hal turned to the broker. \"And I am not a tramp.\" \n\n\"Then supposing we make it a poor-house beggar,\" returned Hardwick, with a short laugh. \n\nHal turned red. The shot was a cruel one. \n\n\"Hush! Hardwick,\" cried Mr. Sumner. \"There is no necessity for such language.\" \n\nThe broker turned to Hal. \n\n\"You just made a strange statement, Carson,\" he said. \"How do you know Mr. Hardwick contemplated robbing the safe?\" \n\n\"Because I do.\" \n\n\"That is no answer.\" \n\n\"I overheard him and Mr. Allen talking about the bonds being in the safe.\" \n\n\"When?\" \n\n\"The evening I came to New York.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"3945\": \"Did Hal turn red out of embarrassment?\"\n },\n {\n \"3946\": \"What had Hardwick called him?\"\n },\n {\n \"3947\": \"What else?\"\n },\n {\n \"3948\": \"And what was the final insult?\"\n },\n {\n \"3949\": \"Did he confess to ever stealing anything?\"\n },\n {\n \"3950\": \"What's Mr. Sumner's profession?\"\n },\n {\n \"3951\": \"What's Hal's last name?\"\n },\n {\n \"3952\": \"Does Mr. Sumner appreciate profane language?\"\n },\n {\n \"3953\": \"What's Hardwick's first name?\"\n },\n {\n \"3954\": \"Did he contemplate committing a crime, according to Hal?\"\n },\n {\n \"3955\": \"What type of crime?\"\n },\n {\n \"3956\": \"What did he want to rob?\"\n },\n {\n \"3957\": \"By himself?\"\n },\n {\n \"3958\": \"Who did Hal overhear Felix talking to about robbing the safe?\"\n },\n {\n \"3959\": \"What's in the safe?\"\n },\n {\n \"3960\": \"When did Hal overhear them?\"\n },\n {\n \"3961\": \"Where was he coming back from?\"\n },\n {\n \"3962\": \"What had Felix been doing to Hal when Mr. Sumner intruded?\"\n },\n {\n \"3963\": \"Does Felix think of himself as a gentleman?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"3945\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3946\",\n \"answer\": \"a thief\"\n },\n {\n \"question_id\": \"3947\",\n \"answer\": \"miserable tramp\"\n },\n {\n \"question_id\": \"3948\",\n \"answer\": \"poor-house beggar\"\n },\n {\n \"question_id\": \"3949\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3950\",\n \"answer\": \"broker\"\n },\n {\n \"question_id\": \"3951\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"3952\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"3953\",\n \"answer\": \"Felix\"\n },\n {\n \"question_id\": \"3954\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3955\",\n \"answer\": \"thieving\"\n },\n {\n \"question_id\": \"3956\",\n \"answer\": \"the safe\"\n },\n {\n \"question_id\": \"3957\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"3958\",\n \"answer\": \"Mr. Allen\"\n },\n {\n \"question_id\": \"3959\",\n \"answer\": \"bonds\"\n },\n {\n \"question_id\": \"3960\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"3961\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"3962\",\n \"answer\": \"had him by the throat\"\n },\n {\n \"question_id\": \"3963\",\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 XIV \n\nThis day at least is friendship's--on the morrow Let strife come an she will. --OTWAY. \n\nDeborah Debbitch, summoned by her master, now made her appearance, with her handkerchief at her eyes, and an appearance of great mental trouble. \"It was not my fault, Major Bridgenorth,\" she said; \"how could I help it? like will to like--the boy would come--the girl would see him.\" \n\n\"Peace, foolish woman,\" said Bridgenorth, \"and hear what I have got to say.\" \n\n\"I know what your honour has to say well enough,\" said Deborah. \"Service, I wot, is no inheritance nowadays--some are wiser than other some--if I had not been wheedled away from Martindale, I might have had a house of mine own by this time.\" \n\n\"Peace, idiot!\" said Bridgenorth; but so intent was Deborah on her vindication, that he could but thrust the interjection, as it were edgewise, between her exclamations, which followed as thick as is usual in cases, where folks endeavour to avert deserved censure by a clamorous justification ere the charge be brought. \n\n\"No wonder she was cheated,\" she said, \"out of sight of her own interest, when it was to wait on pretty Miss Alice. All your honour's gold should never have tempted me, but that I knew she was but a dead castaway, poor innocent, if she were taken away from my lady or me.--And so this is the end on't!--up early, and down late--and this is all my thanks!--But your honour had better take care what you do--she has the short cough yet sometimes--and should take physic, spring and fall.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97893\": \"Who was called upon?\"\n },\n {\n \"97894\": \"by whom?\"\n },\n {\n \"97895\": \"Was she happy?\"\n },\n {\n \"97896\": \"How was she?\"\n },\n {\n \"97897\": \"Why was she without a home of her own?\"\n },\n {\n \"97898\": \"Who thought she was foolish?\"\n },\n {\n \"97899\": \"Did he call her another name also?\"\n },\n {\n \"97900\": \"Which was?\"\n },\n {\n \"97901\": \"Did she pause to let him speak?\"\n },\n {\n \"97902\": \"Who was cheated?\"\n },\n {\n \"97903\": \"What did Deboroah hold up to her eyes?\"\n },\n {\n \"97904\": \"What should arrive tomorrow?\"\n },\n {\n \"97905\": \"What was Deborah tempted by?\"\n },\n {\n \"97906\": \"Did she admit blame to the Major?\"\n },\n {\n \"97907\": \"What did she say?\"\n },\n {\n \"97908\": \"Did the Major want her to listen?\"\n },\n {\n \"97909\": \"Nowadays, what isn't a guarantee of inheritance?\"\n },\n {\n \"97910\": \"Why should your honour be careful?\"\n },\n {\n \"97911\": \"What might come of her?\"\n },\n {\n \"97912\": \"During which seasons?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97893\",\n \"answer\": \"Deborah Debbitch\"\n },\n {\n \"question_id\": \"97894\",\n \"answer\": \"her master\"\n },\n {\n \"question_id\": \"97895\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97896\",\n \"answer\": \"mentally troubled\"\n },\n {\n \"question_id\": \"97897\",\n \"answer\": \"she was wheedled away from Martindale\"\n },\n {\n \"question_id\": \"97898\",\n \"answer\": \"Bridgenorth\"\n },\n {\n \"question_id\": \"97899\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97900\",\n \"answer\": \"idiot\"\n },\n {\n \"question_id\": \"97901\",\n \"answer\": \"no\\\\\"\n },\n {\n \"question_id\": \"97902\",\n \"answer\": \"she\"\n },\n {\n \"question_id\": \"97903\",\n \"answer\": \"her handkerchief\"\n },\n {\n \"question_id\": \"97904\",\n \"answer\": \"strife\"\n },\n {\n \"question_id\": \"97905\",\n \"answer\": \"gold\"\n },\n {\n \"question_id\": \"97906\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97907\",\n \"answer\": \"like will to like--the boy would come--the girl would see him.\"\n },\n {\n \"question_id\": \"97908\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"97909\",\n \"answer\": \"Service\"\n },\n {\n \"question_id\": \"97910\",\n \"answer\": \"she has the short cough sometimes\"\n },\n {\n \"question_id\": \"97911\",\n \"answer\": \"should take physic\"\n },\n {\n \"question_id\": \"97912\",\n \"answer\": \"spring and 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 CHAPTER VIII \n\nAN UNUSUAL COMPACT \n\n\"He'll do it--he is bound to do it!\" cried Ben, as he and Phil hurried down to the dining-room. \n\n\"I think so myself, Ben,\" answered the shipowner's son. But, for some reason, he did not seem as joyful over the outcome of the interview as might have been expected. \n\n\"He won't dare let this news become public property,\" went on the other student. \"He is too afraid of public opinion.\" \n\n\"Ben, he thinks we got that lawyer to take the case up.\" \n\n\"You told him we hadn't.\" \n\n\"But he didn't believe it--I could tell that by his manner. And, Ben, do you know, after all, this looks to me as if we had, somehow, bribed him to be easy on us,\" continued Phil, with added concern. \n\n\"Oh, don't bother your head about that, Phil. We only asked for what is fair, didn't we?\" \n\n\"Yes, but----\" And then the shipowner's son did not finish, because he did not know what to say. In some manner, Phil's conscience troubled him, and he wondered what Dave and Roger would say when they heard of what had occurred. \n\nDuring the meal that followed but little was said by any of the boys. Once or twice our hero looked at Phil, but the latter avoided his gaze. As soon as the repast was over, Phil rushed outside, followed by Ben; and that was the last seen of the pair until it was time to go to bed. \n\n\"They have been up to something, that is certain,\" was the comment of the senator's son. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22148\": \"where were they rushing to?\"\n },\n {\n \"22149\": \"who was?\"\n },\n {\n \"22150\": \"why is Ben insisting that someone will do something?\"\n },\n {\n \"22151\": \"does Ben think someone will do it because he is bound to it?\"\n },\n {\n \"22152\": \"who agreed with him?\"\n },\n {\n \"22153\": \"was he overly joyous about it?\"\n },\n {\n \"22154\": \"what does Ben say that the person is assuming?\"\n },\n {\n \"22155\": \"Does he say that the person assumes they got an attorney?\"\n },\n {\n \"22156\": \"why would they need an attorney?\"\n },\n {\n \"22157\": \"had they told him they got an attorney?\"\n },\n {\n \"22158\": \"what did Ben say they asked for?\"\n },\n {\n \"22159\": \"who is the shipowner's son?\"\n },\n {\n \"22160\": \"who was conflicted?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22148\",\n \"answer\": \"to the dining-room.\"\n },\n {\n \"question_id\": \"22149\",\n \"answer\": \"Ben and Phil\"\n },\n {\n \"question_id\": \"22150\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"22151\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"22152\",\n \"answer\": \"the shipowner's son\"\n },\n {\n \"question_id\": \"22153\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22154\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"22155\",\n \"answer\": \"Phil says that, yes.\"\n },\n {\n \"question_id\": \"22156\",\n \"answer\": \"to take on the case\"\n },\n {\n \"question_id\": \"22157\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"22158\",\n \"answer\": \"what is fair\"\n },\n {\n \"question_id\": \"22159\",\n \"answer\": \"Phil\"\n },\n {\n \"question_id\": \"22160\",\n \"answer\": \"Phil\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXVII \n\nA fortnight afterwards Trent rode into Attra, pale, gaunt, and hollow-eyed. The whole history of those days would never be known by another man! Upon Trent they had left their mark for ever. Every hour of his time in this country he reckoned of great value--yet he had devoted fourteen days to saving the life of John Francis. Such days too--and such nights! They had carried him sometimes in a dead stupor, sometimes a raving madman, along a wild bush-track across rivers and swamps into the town of Garba, where years ago a Congo trader, who had made a fortune, had built a little white-washed hospital! He was safe now, but surely never a man before had walked so near the \"Valley of the Shadow of Death.\" A single moment's vigilance relaxed, a blanket displaced, a dose of brandy forgotten, and Trent might have walked this life a multi-millionaire, a peer, a little god amongst his fellows, freed for ever from all anxiety. But Francis was tended as never a man was tended before. Trent himself had done his share of the carrying, ever keeping his eyes fixed upon the death-lit face of their burden, every ready to fight off the progress of the fever and ague, as the twitching lips or shivering limbs gave warning of a change. For fourteen days he had not slept; until they had reached Garba his clothes had never been changed since they had started upon their perilous journey. As he rode into Attra he reeled a little in his saddle, and he walked into the office of the Agent more like a ghost than a man. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90634\": \"Where Trent went?\"\n },\n {\n \"90635\": \"Was he in good shape?\"\n },\n {\n \"90636\": \"Would other people know about all these?\"\n },\n {\n \"90637\": \"Who did he try to save?\"\n },\n {\n \"90638\": \"For how long?\"\n },\n {\n \"90639\": \"Did he think highly of his time there?\"\n },\n {\n \"90640\": \"Which town Francis was carried into?\"\n },\n {\n \"90641\": \"Who made fortune in Garba?\"\n },\n {\n \"90642\": \"How long ago?\"\n },\n {\n \"90643\": \"Did he build something useful there?\"\n },\n {\n \"90644\": \"Was Francis very close to dying?\"\n },\n {\n \"90645\": \"Is he safe now?\"\n },\n {\n \"90646\": \"Could Trent have a better life that this?\"\n },\n {\n \"90647\": \"Was Francis too important for him to forgo that?\"\n },\n {\n \"90648\": \"Did Trent carry him too?\"\n },\n {\n \"90649\": \"Was he ever watchful?\"\n },\n {\n \"90650\": \"How long he didn't sleep well?\"\n },\n {\n \"90651\": \"Could he change his clothes in the journey?\"\n },\n {\n \"90652\": \"Was he riding horse on the way to Attra?\"\n },\n {\n \"90653\": \"Who did he meet there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90634\",\n \"answer\": \"into Attra\"\n },\n {\n \"question_id\": \"90635\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90636\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90637\",\n \"answer\": \"John Francis\"\n },\n {\n \"question_id\": \"90638\",\n \"answer\": \"A fortnight\"\n },\n {\n \"question_id\": \"90639\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90640\",\n \"answer\": \"Attra\"\n },\n {\n \"question_id\": \"90641\",\n \"answer\": \"a Congo trader\"\n },\n {\n \"question_id\": \"90642\",\n \"answer\": \"years ago\"\n },\n {\n \"question_id\": \"90643\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90644\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90645\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90646\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90647\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90648\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90649\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90650\",\n \"answer\": \"For fourteen days\"\n },\n {\n \"question_id\": \"90651\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"90652\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"90653\",\n \"answer\": \"the Agent\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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. Mohun Appears For The Last Time In This History \n\nBesides my Lord Duke of Hamilton and Brandon, who, for family reasons, had kindly promised his protection and patronage to Colonel Esmond, he had other great friends in power now, both able and willing to assist him, and he might, with such allies, look forward to as fortunate advancement in civil life at home as he had got rapid promotion abroad. His grace was magnanimous enough to offer to take Mr. Esmond as secretary on his Paris embassy, but no doubt he intended that proposal should be rejected; at any rate, Esmond could not bear the thoughts of attending his mistress farther than the church-door after her marriage, and so declined that offer which his generous rival made him. \n\nOther gentlemen, in power, were liberal at least of compliments and promises to Colonel Esmond. Mr. Harley, now become my Lord Oxford and Mortimer, and installed Knight of the Garter on the same day as his grace of Hamilton had received the same honour, sent to the colonel to say that a seat in Parliament should be at his disposal presently, and Mr. St. John held out many flattering hopes of advancement to the colonel when he should enter the House. Esmond’s friends were all successful, and the most successful and triumphant of all was his dear old commander, General Webb, who was now appointed Lieutenant-General of the Land Forces, and received with particular honour by the ministry, by the queen, and the people out of doors, who huzza’d the brave chief when they used to see him in his chariot, going to the House or to the Drawing-room, or hobbling on foot to his coach from St. Stephen’s upon his glorious old crutch and stick, and cheered him as loud as they had ever done Marlborough. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99272\": \"Who are among the people who would help Esmond?\"\n },\n {\n \"99273\": \"Why he would help him?\"\n },\n {\n \"99274\": \"Are there others who would do that too?\"\n },\n {\n \"99275\": \"Are they powerful?\"\n },\n {\n \"99276\": \"Would he succeed with their help?\"\n },\n {\n \"99277\": \"in what?\"\n },\n {\n \"99278\": \"Where?\"\n },\n {\n \"99279\": \"Was he successful abroad?\"\n },\n {\n \"99280\": \"Who did he take as secretary?\"\n },\n {\n \"99281\": \"Where?\"\n },\n {\n \"99282\": \"Where he did not wish to meet someone?\"\n },\n {\n \"99283\": \"whom?\"\n },\n {\n \"99284\": \"When?\"\n },\n {\n \"99285\": \"Did he refuse the offer?\"\n },\n {\n \"99286\": \"Of whom?\"\n },\n {\n \"99287\": \"Were others generous in their promises to him?\"\n },\n {\n \"99288\": \"Who was knighted?\"\n },\n {\n \"99289\": \"Was anyone honored in the same day?\"\n },\n {\n \"99290\": \"Who was that?\"\n },\n {\n \"99291\": \"Who got the command of the land forces?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99272\",\n \"answer\": \"Lord Duke of Hamilton and Brandon\"\n },\n {\n \"question_id\": \"99273\",\n \"answer\": \"for family reasons\"\n },\n {\n \"question_id\": \"99274\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99275\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99276\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99277\",\n \"answer\": \"civil life\"\n },\n {\n \"question_id\": \"99278\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"99279\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99280\",\n \"answer\": \"Mr. Esmond\"\n },\n {\n \"question_id\": \"99281\",\n \"answer\": \"Paris embassy\"\n },\n {\n \"question_id\": \"99282\",\n \"answer\": \"farther than the church-door\"\n },\n {\n \"question_id\": \"99283\",\n \"answer\": \"his mistress\"\n },\n {\n \"question_id\": \"99284\",\n \"answer\": \"after her marriage\"\n },\n {\n \"question_id\": \"99285\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99286\",\n \"answer\": \"his rival\"\n },\n {\n \"question_id\": \"99287\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99288\",\n \"answer\": \"Mr. Harley\"\n },\n {\n \"question_id\": \"99289\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99290\",\n \"answer\": \"Hamilton\"\n },\n {\n \"question_id\": \"99291\",\n \"answer\": \"General Webb\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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)His voice, his posture and his threats are menacingly familiar. \n\nThe black-clad ISIS militant shown in a video demanding a $200 million ransom to spare the lives of two Japanese citizens looks and sounds similar to the man who has appeared in at least five previous hostage videos. \n\nThe knife-wielding masked man with a London accent, nicknamed \"Jihadi John,\" has issued threats and overseen the beheadings of American and British captives. \n\n\"You now have 72 hours to pressure your government in making a wise decision, by paying the $200 million to save the lives of your citizens,\" the man in the video that appeared Tuesday says in comments addressed to Japanese citizens. \"Otherwise, this knife will become your nightmare.\" \n\nQ&A: Harsh realities of kidnappings, ransom \n\nThe amount of money is the same as that recently pledged by Japanese Prime Minister Shinzo Abe in humanitarian aid to Middle East countries that are affected by ISIS' bloody campaign in Iraq and Syria. \n\nJapan believes the deadline arrives Friday at 12:50 a.m. ET. And Chief Cabinet Minister Yoshihide Suga said Wednesday the country will do its best to communicate with ISIS through a third-party nation. \n\nBut mystery and confusion still surround the identity of Jihadi John. \n\nU.S. and British officials have said they believe they know who he is, but they haven't disclosed the information publicly. \n\nThat could be because Western intelligence agencies believe they have more to gain from keeping quiet, says Aki Peritz, a former CIA officer. \n\n\"They can put pressure on his family, put pressure on his friends,\" he told CNN. \"Maybe they have a line to him. Maybe they know who his cousins are who are going to Syria who can identify him. However, if you publicly tell everybody who he is, his real identity, then maybe he'll go to ground and he'll disappear.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66310\": \"who had a accent ?\"\n },\n {\n \"66311\": \"how much time did he give ?\"\n },\n {\n \"66312\": \"to do what ?\"\n },\n {\n \"66313\": \"how much ramson ?\"\n },\n {\n \"66314\": \"hoe manu lives were at stake ?\"\n },\n {\n \"66315\": \"from where ?\"\n },\n {\n \"66316\": \"how many videos did he make before ?\"\n },\n {\n \"66317\": \"of what kind ?\"\n },\n {\n \"66318\": \"what is john group called ?\"\n },\n {\n \"66319\": \"what will become a bad dream ?\"\n },\n {\n \"66320\": \"who is the prime minister ?\"\n },\n {\n \"66321\": \"last name ?\"\n },\n {\n \"66322\": \"overseeing aid what areas where ?\"\n },\n {\n \"66323\": \"how many countrys are in danger ?\"\n },\n {\n \"66324\": \"when is the deadline ?\"\n },\n {\n \"66325\": \"what time ?\"\n },\n {\n \"66326\": \"who is the chief minister ?\"\n },\n {\n \"66327\": \"last name ?\"\n },\n {\n \"66328\": \"does anyone beleive ibn his wearabouts ?\"\n },\n {\n \"66329\": \"who ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66310\",\n \"answer\": \"Jihadi John\"\n },\n {\n \"question_id\": \"66311\",\n \"answer\": \"72 hours\"\n },\n {\n \"question_id\": \"66312\",\n \"answer\": \"pressure your government\"\n },\n {\n \"question_id\": \"66313\",\n \"answer\": \"$200 million\"\n },\n {\n \"question_id\": \"66314\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"66315\",\n \"answer\": \"Japan\"\n },\n {\n \"question_id\": \"66316\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"66317\",\n \"answer\": \"hostage\"\n },\n {\n \"question_id\": \"66318\",\n \"answer\": \"ISIS\"\n },\n {\n \"question_id\": \"66319\",\n \"answer\": \"knife\"\n },\n {\n \"question_id\": \"66320\",\n \"answer\": \"Shinzo\"\n },\n {\n \"question_id\": \"66321\",\n \"answer\": \"Abe\"\n },\n {\n \"question_id\": \"66322\",\n \"answer\": \"Middle East countries\"\n },\n {\n \"question_id\": \"66323\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"66324\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"66325\",\n \"answer\": \"12:50\"\n },\n {\n \"question_id\": \"66326\",\n \"answer\": \"Yoshihide\"\n },\n {\n \"question_id\": \"66327\",\n \"answer\": \"Suga\"\n },\n {\n \"question_id\": \"66328\",\n \"answer\": \"they believe they know who he\"\n },\n {\n \"question_id\": \"66329\",\n \"answer\": \"U.S. and British officials\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 couple weeks after attending his first United Nations General Assembly meeting as president, Barack Obama was awarded the Nobel Peace Prize. What a difference three years makes. \n\nBack in his first months in office, simply being Barack Obama was enough to bring cheering crowds into the street. Whether it was because he was not George Bush or because he was promising to end American policies that were widely despised or whether it was because -- as the first African-American to be elected U.S. president, he embodied an ideal of opportunity for all that was core to this country's appeal -- it hardly mattered. Convene a crowd, and they would find something to like about Barack Obama. \n\nBack then, he seized the moment with great speeches that offered a vision for a new era in American leadership. In Cairo, he spoke of new relations with the Islamic world. In Prague, he spoke of eliminating nuclear weapons. He embraced the G-20 as a mechanism of coordinating the response to the global economic crisis. He didn't bully. He charmed. \n\nIndeed, Obama is probably the first person ever to be awarded the Nobel Peace Prize largely for his charm. Or, alternatively, he may be the first person ever to have won the Nobel Peace Prize for the simple achievement of not having been the guy who had the job before him. (This can be an important achievement. Former U.S. Commerce Secretary Pete Peterson once said one of the secrets to job success is picking the right predecessor.) \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"92833\": \"What award was Barack Obama givin?\"\n },\n {\n \"92834\": \"What was enough to bring cheering crowds in hif first months in offive?\"\n },\n {\n \"92835\": \"What does the article say about his Obama;s charm?\"\n },\n {\n \"92836\": \"What did U.S commerce Secretary Peterson once say about him?\"\n },\n {\n \"92837\": \"How did he use the G-20\"\n },\n {\n \"92838\": \"What did Obama speak about in Prague?\"\n },\n {\n \"92839\": \"What does the article say about if you Convene a crowd?\"\n },\n {\n \"92840\": \"How long after the United Nations General Assembly meeding did Obama win the peace prize?\"\n },\n {\n \"92841\": \"Did Obama bully at the G-20?\"\n },\n {\n \"92842\": \"What does the article say Obama was promising and end to?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"92833\",\n \"answer\": \"Nobel Peace Prize\"\n },\n {\n \"question_id\": \"92834\",\n \"answer\": \"simply being Barack\"\n },\n {\n \"question_id\": \"92835\",\n \"answer\": \"Probably the first person ever to be awarded the Nobel Peace Prize largely for his charm\"\n },\n {\n \"question_id\": \"92836\",\n \"answer\": \"secret to job success is picking the right predecessor\"\n },\n {\n \"question_id\": \"92837\",\n \"answer\": \"as a mechanism\"\n },\n {\n \"question_id\": \"92838\",\n \"answer\": \"eliminating nuclear weapons\"\n },\n {\n \"question_id\": \"92839\",\n \"answer\": \"they would find something to like about Barack Obama\"\n },\n {\n \"question_id\": \"92840\",\n \"answer\": \"A couple weeks\"\n },\n {\n \"question_id\": \"92841\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"92842\",\n \"answer\": \"end American policies\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Devon (), also known as Devonshire, which was formerly its common and official name, is a county of England, reaching from the Bristol Channel in the north to the English Channel in the south. It is part of South West England, bounded by Cornwall to the west, Somerset to the northeast, and Dorset to the east. The City of Exeter is the county town; seven other districts of East Devon, Mid Devon, North Devon, South Hams, Teignbridge, Torridge, and West Devon are under the jurisdiction of Devon County Council; Plymouth and Torbay are each a part of Devon but administered as unitary authorities. Combined as a ceremonial county, Devon's area is and its population is about 1.1 million. \n\nDevon derives its name from Dumnonia, which, during the British Iron Age, Roman Britain, and Early Medieval was the homeland of the Dumnonii Brittonic Celts. The Anglo-Saxon settlement of Britain resulted in the partial assimilation of Dumnonia into the Kingdom of Wessex during the eighth and ninth centuries. The western boundary with Cornwall was set at the River Tamar by King Æthelstan in 936. Devon was constituted as a shire of the Kingdom of England thereafter. \n\nThe north and south coasts of Devon each have both cliffs and sandy shores, and the county's bays contain seaside resorts, fishing towns, and ports. The inland terrain is rural, generally hilly, and has a low population density in comparison to many other parts of England. Dartmoor is the largest open space in southern England at , its moorland extending across a large expanse of granite bedrock. To the north of Dartmoor are the Culm Measures and Exmoor. In the valleys and lowlands of south and east Devon the soil is more fertile, drained by rivers including the Exe, the Culm, the Teign, the Dart, and the Otter.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47049\": \"What county in England got its name from Dumnonia?\"\n },\n {\n \"47050\": \"Does it go by any other names?\"\n },\n {\n \"47051\": \"What?\"\n },\n {\n \"47052\": \"What was Dumnonia?\"\n },\n {\n \"47053\": \"When was that?\"\n },\n {\n \"47054\": \"Where in England is Devon located?\"\n },\n {\n \"47055\": \"Does any of the county have fertile soil?\"\n },\n {\n \"47056\": \"Where?\"\n },\n {\n \"47057\": \"Is Devon a coastal town?\"\n },\n {\n \"47058\": \"What kind of terrain is the coast?\"\n },\n {\n \"47059\": \"Does it have any ports?\"\n },\n {\n \"47060\": \"What else is along the coast?\"\n },\n {\n \"47061\": \"What is it like inland?\"\n },\n {\n \"47062\": \"What rivers are nearby?\"\n },\n {\n \"47063\": \"What is the population of Devon?\"\n },\n {\n \"47064\": \"How many districts does it have?\"\n },\n {\n \"47065\": \"What are the names of them?\"\n },\n {\n \"47066\": \"Are they all under the Devon County Council jurisdiction?\"\n },\n {\n \"47067\": \"Which aren't?\"\n },\n {\n \"47068\": \"Where does Devon reach from on the map?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47049\",\n \"answer\": \"Devon\"\n },\n {\n \"question_id\": \"47050\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47051\",\n \"answer\": \"Devonshire\"\n },\n {\n \"question_id\": \"47052\",\n \"answer\": \"the homeland of the Dumnonii Brittonic Celts\"\n },\n {\n \"question_id\": \"47053\",\n \"answer\": \"during the British Iron Age, Roman Britain, and Early Medieval\"\n },\n {\n \"question_id\": \"47054\",\n \"answer\": \"South West\"\n },\n {\n \"question_id\": \"47055\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47056\",\n \"answer\": \"In the valleys and lowlands of south and east\"\n },\n {\n \"question_id\": \"47057\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47058\",\n \"answer\": \"cliffs and sandy shores\"\n },\n {\n \"question_id\": \"47059\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"47060\",\n \"answer\": \"seaside resorts and fishing towns\"\n },\n {\n \"question_id\": \"47061\",\n \"answer\": \"rural and generally hilly\"\n },\n {\n \"question_id\": \"47062\",\n \"answer\": \"the Exe, the Culm, the Teign, the Dart, and the Otter\"\n },\n {\n \"question_id\": \"47063\",\n \"answer\": \"1.1 million\"\n },\n {\n \"question_id\": \"47064\",\n \"answer\": \"Eight\"\n },\n {\n \"question_id\": \"47065\",\n \"answer\": \"The City of Exeter, East Devon, Mid Devon, North Devon, South Hams, Teignbridge, Torridge, and West Devon\"\n },\n {\n \"question_id\": \"47066\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"47067\",\n \"answer\": \"Plymouth and Torbay\"\n },\n {\n \"question_id\": \"47068\",\n \"answer\": \"from the Bristol Channel in the north to the English Channel in the south\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n How do you feel when you stay in hospital alone? Jenny, 13, a US student, feels bored. She knows the feeling because she has been in hospital many times herself. One day, she thought of an idea--if patients could get some books to read, they would feel better. So, from May, she and many of her friends began to collect books for hospital patients. In six months the students collected 1,250 books at school. They decided to donate the books to the North Shore Medical Centre, a children's hospital next door to their school. \"There are books for kids of all ages, from babies up to high school level.\" said Jenny. The students put the books into \"early readers\", \"middle readers\" and \"advanced readers\". Then they wrote their best wishes to patients on bookmarks and letters, put the books in big boxes and donated them to the hospital. \"We wrote things like, \"Keep on reading!' and 'Hope you feel better!,\" said John, 14, Jenny's brother. \"And we also wrote some funny things to make them laugh.\" Frank, 12, and Steven, 14, helped carry 16 large boxes of books into a car. \"I think these books will make me a lot of patients feel happy.\" said Frank. Steven shared his opinion. \"It is really the most meaningful thing that I have ever done in my life.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16277\": \"who feels bored ?\"\n },\n {\n \"16278\": \"how old is she ?\"\n },\n {\n \"16279\": \"what did the the students collect ?\"\n },\n {\n \"16280\": \"how long did it take ?\"\n },\n {\n \"16281\": \"how many books ?\"\n },\n {\n \"16282\": \"who were they for ?\"\n },\n {\n \"16283\": \"who is jennys brother ?\"\n },\n {\n \"16284\": \"how old is frank ?\"\n },\n {\n \"16285\": \"who did they wrote their best wishes too ?\"\n },\n {\n \"16286\": \"how many large boxes was it ?\"\n },\n {\n \"16287\": \"who carried them ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"16277\",\n \"answer\": \"Jenny\"\n },\n {\n \"question_id\": \"16278\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"16279\",\n \"answer\": \"books\"\n },\n {\n \"question_id\": \"16280\",\n \"answer\": \"six months\"\n },\n {\n \"question_id\": \"16281\",\n \"answer\": \"1,250\"\n },\n {\n \"question_id\": \"16282\",\n \"answer\": \"hospital patients\"\n },\n {\n \"question_id\": \"16283\",\n \"answer\": \"John\"\n },\n {\n \"question_id\": \"16284\",\n \"answer\": \"12\"\n },\n {\n \"question_id\": \"16285\",\n \"answer\": \"patients\"\n },\n {\n \"question_id\": \"16286\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"16287\",\n \"answer\": \"Frank and Steven\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII. \n\nTHE WALK HOME. \n\nMary Masters, when Reginald Morton had turned his back upon her at the bridge, was angry with herself and with him, which was reasonable; and very angry also with Larry Twentyman, which was unreasonable. As she had at once acceded to Morton's proposal that they should walk round the house together, surely he should not have deserted her so soon. It had not been her fault that the other man had come up. She had not wanted him. But she was aware that when the option had in some sort been left to herself, she had elected to walk back with Larry. She knew her own motives and her own feelings, but neither of the men would understand them. Because she preferred the company of Mr. Morton, and had at the moment feared that her sisters would have deserted her had she followed him, therefore she had declared her purpose of going back to Dillsborough, in doing which she knew that Larry and the girls would accompany her. But of course Mr. Morton would think that she had preferred the company of her recognised admirer. It was pretty well known in Dillsborough that Larry was her lover. Her stepmother had spoken of it very freely; and Larry himself was a man who did not keep his lights hidden under a bushel. \"I hope I've not been in the way, Mary,\" said Mr. Twentyman, as soon as Morton was out of hearing. \n\n\"In the way of what?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21479\": \"Who was upset?\"\n },\n {\n \"21480\": \"Who she was angry with?\"\n },\n {\n \"21481\": \"Was she upset with anyone else?\"\n },\n {\n \"21482\": \"Did the author find her attitude rational?\"\n },\n {\n \"21483\": \"Who left early?\"\n },\n {\n \"21484\": \"Where were they at that time?\"\n },\n {\n \"21485\": \"Did she agree with his request before that?\"\n },\n {\n \"21486\": \"Who disrupted the plan?\"\n },\n {\n \"21487\": \"Did she rather stay with him?\"\n },\n {\n \"21488\": \"Was she aware of her own emotions?\"\n },\n {\n \"21489\": \"What about the guys?\"\n },\n {\n \"21490\": \"Did she like one over other?\"\n },\n {\n \"21491\": \"Who was that?\"\n },\n {\n \"21492\": \"But did she do otherwise?\"\n },\n {\n \"21493\": \"Was she worried about any of her relatives?\"\n },\n {\n \"21494\": \"Who was that?\"\n },\n {\n \"21495\": \"What was her thought about her?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21479\",\n \"answer\": \"Mary Masters\"\n },\n {\n \"question_id\": \"21480\",\n \"answer\": \"Reginald Morton\"\n },\n {\n \"question_id\": \"21481\",\n \"answer\": \"Larry Twentyman\"\n },\n {\n \"question_id\": \"21482\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21483\",\n \"answer\": \"Morton\"\n },\n {\n \"question_id\": \"21484\",\n \"answer\": \"walking round the house\"\n },\n {\n \"question_id\": \"21485\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21486\",\n \"answer\": \"Larry\"\n },\n {\n \"question_id\": \"21487\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21488\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21489\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"21490\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21491\",\n \"answer\": \"Mr. Morton\"\n },\n {\n \"question_id\": \"21492\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21493\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"21494\",\n \"answer\": \"her sisters\"\n },\n {\n \"question_id\": \"21495\",\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 On a nice and sunny day, Bob and Sally walked to the beach. When they got there, the first thing they wanted to do was to look for buried treasure. To find the treasure they had brought two shovels and two buckets. They both started digging holes in the sand with their shovels. After looking very hard for treasure for an hour, they didn't find anything. This made Bob and Sally very sad. They gave up and went to play in the water. While they were playing in the water, Sally found a bottle with a little paper inside. Sally opened the bottle and found a treasure map. Sally showed the map to Bob and they started to look for the treasure. After walking every step that the map said, they started digging with their shovels. After digging a really a big hole, they found a box. They were very happy that they found it and wanted to see what was inside. Bob slowly opened the box and there was a very big pearl. Next, they ran to a special store to ask about the pearl. The worker in the store told Bob and Sally that the pearl could make them rich. Bob and Sally looked at each other and decided not to sell it. They took the pearl home and saved it in a special box, so they could remember their day at the beach.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"98214\": \"What did Bob and Sandy do with the pearl?\"\n },\n {\n \"98215\": \"in what?\"\n },\n {\n \"98216\": \"why?\"\n },\n {\n \"98217\": \"where were they before going home?\"\n },\n {\n \"98218\": \"who was there?\"\n },\n {\n \"98219\": \"did they interact with him?\"\n },\n {\n \"98220\": \"how?\"\n },\n {\n \"98221\": \"where did they discover it?\"\n },\n {\n \"98222\": \"how did they discover it?\"\n },\n {\n \"98223\": \"did they create the hole?\"\n },\n {\n \"98224\": \"how did they know to?\"\n },\n {\n \"98225\": \"where did they find that?\"\n },\n {\n \"98226\": \"what was the weather like?\"\n },\n {\n \"98227\": \"where did they go?\"\n },\n {\n \"98228\": \"what did they do there?\"\n },\n {\n \"98229\": \"did they do anything before that?\"\n },\n {\n \"98230\": \"what did they bring?\"\n },\n {\n \"98231\": \"did they use their buckets to dig?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"98214\",\n \"answer\": \"took it home to save\"\n },\n {\n \"question_id\": \"98215\",\n \"answer\": \"in a special box\"\n },\n {\n \"question_id\": \"98216\",\n \"answer\": \"so they could remember their day at the beach\"\n },\n {\n \"question_id\": \"98217\",\n \"answer\": \"a special store\"\n },\n {\n \"question_id\": \"98218\",\n \"answer\": \"a worker\"\n },\n {\n \"question_id\": \"98219\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98220\",\n \"answer\": \"he said the pearl could make them rich\"\n },\n {\n \"question_id\": \"98221\",\n \"answer\": \"in a box\"\n },\n {\n \"question_id\": \"98222\",\n \"answer\": \"digging a really a big hole,\"\n },\n {\n \"question_id\": \"98223\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"98224\",\n \"answer\": \"it was on a map\"\n },\n {\n \"question_id\": \"98225\",\n \"answer\": \"in a bottle\"\n },\n {\n \"question_id\": \"98226\",\n \"answer\": \"nice and sunny\"\n },\n {\n \"question_id\": \"98227\",\n \"answer\": \"the beach\"\n },\n {\n \"question_id\": \"98228\",\n \"answer\": \"look for buried treasure\"\n },\n {\n \"question_id\": \"98229\",\n \"answer\": \"started digging holes\"\n },\n {\n \"question_id\": \"98230\",\n \"answer\": \"two shovels and two buckets\"\n },\n {\n \"question_id\": \"98231\",\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\nTHE WAR BEGUN \n\nThere could be no question, after this cry from Amos Nelson, but that he and his Tory friends had in some way come to learn of what we lads would do toward aiding the Cause. \n\nIt was natural that I, suspecting Seth Jepson, should set down to his door the crime of having betrayed us to our enemies; but when I put that thought into words Archie would have none of it. He declared that however much Seth might be inclined toward Toryism, he was not such a knave as to join us with traitorous intentions in his heart. \n\nWe had made no reply to Amos Nelson, and it appeared much as if his only desire was to let us understand that he was in possession of our secret, for immediately after having taunted us he went off in the direction of Corn hill, taking his friend with him, therefore Archie and I had nothing to do except discuss the possibility of our having been betrayed, with not a little warmth but no result. \n\nSilas was still engaged in the work of enrolling recruits, and failed to come to the rendezvous, most like believing he could be doing better service in seeking out those who would become Minute Boys, than by wagging his tongue at the city dock with us. \n\nBecause of knowing that that which we would keep private was a secret no longer, I grew disheartened, and instead of agreeing to Archie's proposition that the remainder of the day be spent in gaining yet more recruits, I turned my face homeward once more, agreeing crustily to meet those who had promised to become Minute Boys at the old ship-yard that evening. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"62938\": \"Who suspected Jepson?\"\n },\n {\n \"62939\": \"What crime did the narrator want to accuse him of?\"\n },\n {\n \"62940\": \"Who did not agree?\"\n },\n {\n \"62941\": \"Even though Seth supported what?\"\n },\n {\n \"62942\": \"What was Silas doing?\"\n },\n {\n \"62943\": \"Recruits to become what?\"\n },\n {\n \"62944\": \"Did he join the two friends?\"\n },\n {\n \"62945\": \"Did he think he would be more productive talking to them?\"\n },\n {\n \"62946\": \"Where were the two friends talking?\"\n },\n {\n \"62947\": \"What did Archie want to do with the rest of the day?\"\n },\n {\n \"62948\": \"True or False: The narrator agreed to Archie's suggestion.\"\n },\n {\n \"62949\": \"Where would he go that evening?\"\n },\n {\n \"62950\": \"Who knew the secret of Archie and the narrator?\"\n },\n {\n \"62951\": \"Amos who?\"\n },\n {\n \"62952\": \"Where did he go off to?\"\n },\n {\n \"62953\": \"Did he go alone?\"\n },\n {\n \"62954\": \"Who went with him?\"\n },\n {\n \"62955\": \"What is the name of this friend?\"\n },\n {\n \"62956\": \"True or False: Nelson's friends are Tories.\"\n },\n {\n \"62957\": \"What is the title of the chapter?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"62938\",\n \"answer\": \"Amos Nelson\"\n },\n {\n \"question_id\": \"62939\",\n \"answer\": \"betrayed us\"\n },\n {\n \"question_id\": \"62940\",\n \"answer\": \"Archie\"\n },\n {\n \"question_id\": \"62941\",\n \"answer\": \"Toryism\"\n },\n {\n \"question_id\": \"62942\",\n \"answer\": \"enrolling recruits\"\n },\n {\n \"question_id\": \"62943\",\n \"answer\": \"Minute Boys\"\n },\n {\n \"question_id\": \"62944\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62945\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"62946\",\n \"answer\": \"dock\"\n },\n {\n \"question_id\": \"62947\",\n \"answer\": \"gaining more recruits\"\n },\n {\n \"question_id\": \"62948\",\n \"answer\": \"true\"\n },\n {\n \"question_id\": \"62949\",\n \"answer\": \"ship-yard\"\n },\n {\n \"question_id\": \"62950\",\n \"answer\": \"Amos\"\n },\n {\n \"question_id\": \"62951\",\n \"answer\": \"Nelson\"\n },\n {\n \"question_id\": \"62952\",\n \"answer\": \"the direction of Corn hill\"\n },\n {\n \"question_id\": \"62953\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"62954\",\n \"answer\": \"his friend\"\n },\n {\n \"question_id\": \"62955\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"62956\",\n \"answer\": \"true\"\n },\n {\n \"question_id\": \"62957\",\n \"answer\": \"THE WAR BEGUN\"\n }\n]\n" } ]

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