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 John is six years old. He can read and write well. But he can't tell the time. His mother, Mrs Brown teaches him many times, but he still can't tell. He would say \"breakfast time\" \"lunchtime\" and \"teatime\" instead of saying eight o'clock, twelve o'clock and four o'clock in the afternoon. His mother doesn't know how to help him One day, John's aunt, Mary, comes to see his mother. His mother tells her about that. His aunt says, \"Let me help you. I think I can help him.\" When John comes home after school, Mary begins to teach him. \"Can you _ , John?\" she asks. \"Yes. One, two, three, four...\" John says. \"That's fine. Now I put the long hand on twelve and the short hand on one-that is one o'clock If I put the short hand on two, what is the time?\" \"Two o'clock \" \"Good. And on three?\" \"Three o'clock. \" Then it is four o'clock in the afternoon, and John's aunt asks him, \"What time is it now, John?\" \"Teatime, Aunt, and I am very hungry ,\" John looks at the clock and answers.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99311\": \"Who is John's mother?\"\n },\n {\n \"99312\": \"Can she help John?\"\n },\n {\n \"99313\": \"How old is John?\"\n },\n {\n \"99314\": \"Can he read and write?\"\n },\n {\n \"99315\": \"Can he count?\"\n },\n {\n \"99316\": \"Who tries to teach him?\"\n },\n {\n \"99317\": \"Who else?\"\n },\n {\n \"99318\": \"How is she related to him?\"\n },\n {\n \"99319\": \"Did he tell the time after she taught him?\"\n },\n {\n \"99320\": \"Did he want food at four o'clock?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99311\",\n \"answer\": \"Mrs Brown\"\n },\n {\n \"question_id\": \"99312\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99313\",\n \"answer\": \"six\"\n },\n {\n \"question_id\": \"99314\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99315\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99316\",\n \"answer\": \"Mrs Brown\"\n },\n {\n \"question_id\": \"99317\",\n \"answer\": \"Mary\"\n },\n {\n \"question_id\": \"99318\",\n \"answer\": \"His Aunt\"\n },\n {\n \"question_id\": \"99319\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"99320\",\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 Madrasa (Arabic: مدرسة‎, madrasah, pl. مدارس, madāris, Turkish: Medrese) is the Arabic word for any type of educational institution, whether secular or religious (of any religion). The word is variously transliterated madrasah, madarasaa, medresa, madrassa, madraza, medrese, etc. In the West, the word usually refers to a specific type of religious school or college for the study of the Islamic religion, though this may not be the only subject studied. Not all students in madaris are Muslims; there is also a modern curriculum. \n\nThe word madrasah derives from the triconsonantal Semitic root د-ر-س D-R-S 'to learn, study', through the wazn (form/stem) مفعل(ة)‎; mafʻal(ah), meaning \"a place where something is done\". Therefore, madrasah literally means \"a place where learning and studying take place\". The word is also present as a loanword with the same innocuous meaning in many Arabic-influenced languages, such as: Urdu, Bengali, Hindi, Persian, Turkish, Azeri, Kurdish, Indonesian, Malay and Bosnian / Croatian. In the Arabic language, the word مدرسة madrasah simply means the same as school does in the English language, whether that is private, public or parochial school, as well as for any primary or secondary school whether Muslim, non-Muslim, or secular. Unlike the use of the word school in British English, the word madrasah more closely resembles the term school in American English, in that it can refer to a university-level or post-graduate school as well as to a primary or secondary school. For example, in the Ottoman Empire during the Early Modern Period, madaris had lower schools and specialised schools where the students became known as danişmends. The usual Arabic word for a university, however, is جامعة (jāmiʻah). The Hebrew cognate midrasha also connotes the meaning of a place of learning; the related term midrash literally refers to study or learning, but has acquired mystical and religious connotations.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80685\": \"what is the article mainly about?\"\n },\n {\n \"80686\": \"what does the word literally mean?\"\n },\n {\n \"80687\": \"can it be private school?\"\n },\n {\n \"80688\": \"what language does it come from?\"\n },\n {\n \"80689\": \"are all students in madaris Muslim?\"\n },\n {\n \"80690\": \"is it generally considered a religious school in the west?\"\n },\n {\n \"80691\": \"what levels of school does it cover?\"\n },\n {\n \"80692\": \"what is the Arabic word for University?\"\n },\n {\n \"80693\": \"is modern curriculum offered in madrasa?\"\n },\n {\n \"80694\": \"what are some Arabic languages that are mentioned?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80685\",\n \"answer\": \"Madrasa\"\n },\n {\n \"question_id\": \"80686\",\n \"answer\": \"Any type of educational institution,\"\n },\n {\n \"question_id\": \"80687\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80688\",\n \"answer\": \"Arabic\"\n },\n {\n \"question_id\": \"80689\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"80690\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80691\",\n \"answer\": \"university-level or post-graduate school as well as to a primary or secondary school\"\n },\n {\n \"question_id\": \"80692\",\n \"answer\": \"\\u062c\\u0627\\u0645\\u0639\\u0629\"\n },\n {\n \"question_id\": \"80693\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80694\",\n \"answer\": \"Urdu, Bengali, Hindi, Persian, Turkish, Azeri, Kurdish, Indonesian, Malay and Bosnian / Croatian.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Billy Ray Cyrus may be a country boy at heart, but he is also pretty savvy when it comes to navigating Hollywood. \n\nBilly Ray Cyrus has a full plate with acting, touring, composing and being a dad. \n\nWhen others wrote him off as a novelty act after the 1992 hit \"Achy Breaky Heart,\" Cyrus kept making music and eventually turned to acting. \n\nIt was a decision he said came after some well-timed fatherly advice. \n\n\"In the mid-'90s, my dad said to me 'Son, you've got all of your eggs in one basket and you are living and dying by music,' \" Cyrus recalled. \"He said 'I want you to have a career like Kenny Rogers.' \" \n\nCyrus said his dad suggested he branch out into acting. Cyrus eventually auditioned for and won a role in what appeared to be an unlikely vehicle -- David Lynch's 2001 film \"Mulholland Drive.\" \n\nAfter Lynch, known for such works as \"Blue Velvet\" and \"Twin Peaks,\" suggested that Cyrus should continue to pursue the craft, he went on to star in the television drama \"Doc,\" which also helped spur the career of Cyrus' greatest production -- \"Hannah Montana\" star, and Cyrus' daughter, Miley Cyrus. \n\nNow, with the release of \"Hannah Montana: The Movie\" on Blu-ray and DVD, a music tour and an upcoming role in a film featuring comedian George Lopez and martial arts expert Jackie Chan, Cyrus is staying busy. \n\nHe recently took some time out of his hectic schedule to talk to CNN about how he keeps it all together, how he manages raising a family full of performers (son Trace is a member of the band Metro Station, daughter Brandi performs with the band Frank and Derol and also acts, as do younger children Braison and Noah) and what makes him a good fit for Hollywood. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"16132\": \"Who told Cyrus to try acting?\"\n },\n {\n \"16133\": \"Why?\"\n },\n {\n \"16134\": \"What type of career did he want for him?\"\n },\n {\n \"16135\": \"Before acting what was he focused on?\"\n },\n {\n \"16136\": \"What was his first famous song?\"\n },\n {\n \"16137\": \"What year was that released?\"\n },\n {\n \"16138\": \"How did people view him after that?\"\n },\n {\n \"16139\": \"When did his dad suggest acting?\"\n },\n {\n \"16140\": \"What was his first part?\"\n },\n {\n \"16141\": \"What year was that?\"\n },\n {\n \"16142\": \"Whose movie was it?\"\n },\n {\n \"16143\": \"What else was Lynch known for?\"\n },\n {\n \"16144\": \"What was Cyrus in after that?\"\n },\n {\n \"16145\": \"What that another movie?\"\n },\n {\n \"16146\": \"What was it?\"\n },\n {\n \"16147\": \"Who is his daughter?\"\n },\n {\n \"16148\": \"What is her job?\"\n },\n {\n \"16149\": \"What is she known for?\"\n },\n {\n \"16150\": \"Does he have more kids?\"\n },\n {\n \"16151\": \"how many?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"16132\",\n \"answer\": \"his dad\"\n },\n {\n \"question_id\": \"16133\",\n \"answer\": \"he wanted him to have a career\"\n },\n {\n \"question_id\": \"16134\",\n \"answer\": \"one like Kenny Rogers\"\n },\n {\n \"question_id\": \"16135\",\n \"answer\": \"music\"\n },\n {\n \"question_id\": \"16136\",\n \"answer\": \"Achy Breaky Heart\"\n },\n {\n \"question_id\": \"16137\",\n \"answer\": \"1992\"\n },\n {\n \"question_id\": \"16138\",\n \"answer\": \"as a novelty act\"\n },\n {\n \"question_id\": \"16139\",\n \"answer\": \"In the mid-'90s,\"\n },\n {\n \"question_id\": \"16140\",\n \"answer\": \"a role in Mulholland Drive\"\n },\n {\n \"question_id\": \"16141\",\n \"answer\": \"2001\"\n },\n {\n \"question_id\": \"16142\",\n \"answer\": \"David Lynch's\"\n },\n {\n \"question_id\": \"16143\",\n \"answer\": \"Blue Velvet and Twin Peaks\"\n },\n {\n \"question_id\": \"16144\",\n \"answer\": \"Doc\"\n },\n {\n \"question_id\": \"16145\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"16146\",\n \"answer\": \"a television drama\"\n },\n {\n \"question_id\": \"16147\",\n \"answer\": \"Miley Cyrus\"\n },\n {\n \"question_id\": \"16148\",\n \"answer\": \"an actress\"\n },\n {\n \"question_id\": \"16149\",\n \"answer\": \"Hannah Montana\"\n },\n {\n \"question_id\": \"16150\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"16151\",\n \"answer\": \"four\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI. A FESTIVAL AND A PARTING \n\nMy grandfather and I were seated at table together. It was early June, the birds were singing in the garden, and the sweet odours of the flowers were wafted into the room. \n\n\"Richard,\" says he, when Scipio had poured his claret, \"my illness cheated you out of your festival last year. I dare swear you deem yourself too old for birthdays now.\" \n\nI laughed. \n\n\"So it is with lads,\" said Mr. Carvel; \"they will rush into manhood as heedless as you please. Take my counsel, boy, and remain young. Do not cross the bridge before you have to. And I have been thinking that we shall have your fete this year, albeit you are grown, and Miss Dolly is the belle of the province. 'Tis like sunshine into my old heart to see the lads and lasses again, and to hear the merry, merry fiddling. I will have his new Excellency, who seems a good and a kindly man, and Lloyd and Tilghman and Dulany and the rest, with their ladies, to sit with me. And there will be plenty of punch and syllabub and sangaree, I warrant; and tarts and jellies and custards, too, for the misses. Ring for Mrs. Willis, my son.\" \n\nWillis came with her curtsey to the old gentleman, who gave his order then and there. He never waited for a fancy of this kind to grow cold. \n\n\"We shall all be children again, on that day, Mrs. Willis,\" says he. \"And I catch any old people about, they shall be thrust straight in the town stocks, i' faith.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"37515\": \"What month was it?\"\n },\n {\n \"37516\": \"Who were seated together?\"\n },\n {\n \"37517\": \"Who was singing?\"\n },\n {\n \"37518\": \"Where?\"\n },\n {\n \"37519\": \"Who did they want to ring for?\"\n },\n {\n \"37520\": \"What did Willis do when she arrived to the man?\"\n },\n {\n \"37521\": \"Who would be thrown in the stocks?\"\n },\n {\n \"37522\": \"Who poured the old man's claret?\"\n },\n {\n \"37523\": \"Who wasn't able to enjoy the previous year's festivities?\"\n },\n {\n \"37524\": \"The smell of what filled the room they were in?\"\n },\n {\n \"37525\": \"Who filled the claret?\"\n },\n {\n \"37526\": \"Who might feel he was too old for birthdays?\"\n },\n {\n \"37527\": \"What was Mr. Carvel's advice to the young one?\"\n },\n {\n \"37528\": \"Who was the province belle?\"\n },\n {\n \"37529\": \"What brightened one of their hearts?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"37515\",\n \"answer\": \"June\"\n },\n {\n \"question_id\": \"37516\",\n \"answer\": \"grandfather and I\"\n },\n {\n \"question_id\": \"37517\",\n \"answer\": \"birds\"\n },\n {\n \"question_id\": \"37518\",\n \"answer\": \"in the garden\"\n },\n {\n \"question_id\": \"37519\",\n \"answer\": \"Mrs. Willis\"\n },\n {\n \"question_id\": \"37520\",\n \"answer\": \"curtsey\"\n },\n {\n \"question_id\": \"37521\",\n \"answer\": \"any old people\"\n },\n {\n \"question_id\": \"37522\",\n \"answer\": \"Scipio\"\n },\n {\n \"question_id\": \"37523\",\n \"answer\": \"Richard\"\n },\n {\n \"question_id\": \"37524\",\n \"answer\": \"sweet odours of the flowers\"\n },\n {\n \"question_id\": \"37525\",\n \"answer\": \"Scipio\"\n },\n {\n \"question_id\": \"37526\",\n \"answer\": \"Richard\"\n },\n {\n \"question_id\": \"37527\",\n \"answer\": \"remain young\"\n },\n {\n \"question_id\": \"37528\",\n \"answer\": \"Miss Dolly\"\n },\n {\n \"question_id\": \"37529\",\n \"answer\": \"to see the lads and lasses again\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 London (CNN) -- I remember well the shock when in 2000 Alex Rodriquez signed a 10 year, a quarter of a billion dollar deal ($252 million) to play baseball with the Texas Rangers. \n\nIt was beyond reality, and it didn't work out for the Rangers. He was later traded to the Yankees who happily increased the deal. Good for Rodriguez. \n\nBut at least he was being paid to work. \n\nRory McIlroy has now become Nike's poster boy -- certainly there will be a lot of strings attached; but he's not being paid by Nike to swing a club. He'll get millions more to do that. \n\nRead more: Nike unveils Rory McIlroy: Tiger's heir apparent \n\nGood for McIlroy. It's a better deal from Nike than Woods got. \n\nHis baseball cap now switches from Titleist to the Nike tick. TV ads have already been shot. \n\nNow, I wonder which stable of Nike's sports stallions will he join? \n\nWill he join Roger Federer and Michael Jordan at causing little or no offenses on or off the field of play? \n\nWill he join Lance Armstrong and one day cause a massive scandal putting his Nike contract in jeopardy? \n\nOr will he join the middle rank of bad boy athletes who's off the field scandals don't cost them their Nike deal; think Kobe Bryant or of course, Tiger Woods. \n\nWhat's the difference? Lance Armstrong is accused of cheating his fans and his beloved sport and cashed in on that cheating. But remember, Nike actually stood by Armstrong for months in 2012, when all others headed for the exit. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79543\": \"Who signed something?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79543\",\n \"answer\": \"The Texas Rangers signed Alex Rodriquez\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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)Australian-born actor Rod Taylor, who starred in Alfred Hitchcock's thriller, \"The Birds,\" died this week in Los Angeles. \n\nTaylor was 84. \n\nHe died at home Wednesday surrounded by his family and loved ones, his daughter, Felicia Taylor, said in a statement. No cause of death was given. \n\n\"My dad loved his work. Being an actor was his passion -- calling it an honorable art and something he couldn't live without,\" she said. \n\nRod Taylor appeared in dozens of films, including \"The Time Machine,\" \"The Train Robbers\" and \"Sunday in New York.\" \n\n\"There are so many incredible feelings I have for him,\" said Tippi Hedren, his co-star in \"The Birds.\" \n\n\"Rod was a great pal to me ... we were very, very good friends,\" she said. \"He was one of the most fun people I have ever met, thoughtful and classy, there was everything good in that man.\" \n\nTaylor was born in Sydney -- the only child of a steel contractor father and a writer mother. He attended a fine arts college and a theater school in his hometown before heading to Hollywood in the 1950s. \n\nOnce there, his star kept rising with various high-profile roles in movies such as \"The Train Robbers\" and \"The Catered Affair.\" In his final role, he played Winston Churchill in the 2009 movie, \"Inglourious Basterds,\" with Brad Pitt. \n\nTaylor is survived by his wife of more than three decades, Carol, and his daughter, Felicia, a former CNN News correspondent. \n\nPeople we've lost in 2015 \n\nCNN's Veronica George contributed to this report \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"52830\": \"Who passed away?\"\n },\n {\n \"52831\": \"Where was he born?\"\n },\n {\n \"52832\": \"Did he have siblings?\"\n },\n {\n \"52833\": \"How old was he?\"\n },\n {\n \"52834\": \"Who starred alongside him in \\\"The Birds\\\" movie?\"\n },\n {\n \"52835\": \"Were they friends?\"\n },\n {\n \"52836\": \"Can you name another move he was in?\"\n },\n {\n \"52837\": \"And one more?\"\n },\n {\n \"52838\": \"Where did he die?\"\n },\n {\n \"52839\": \"Was he alone?\"\n },\n {\n \"52840\": \"What movie was he in in 2009?\"\n },\n {\n \"52841\": \"Who did he play?\"\n },\n {\n \"52842\": \"Who else was in that movie?\"\n },\n {\n \"52843\": \"Was Taylor married?\"\n },\n {\n \"52844\": \"For how long?\"\n },\n {\n \"52845\": \"What's her name?\"\n },\n {\n \"52846\": \"Taylor's daughter used to work for who?\"\n },\n {\n \"52847\": \"What's her name?\"\n },\n {\n \"52848\": \"Do we know her dad's cause of death?\"\n },\n {\n \"52849\": \"What city did he die in?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"52830\",\n \"answer\": \"Rod Taylor, who starred in Alfred Hitchcock's thriller, \\\"The Birds,\\\" died this week in Los Angeles.\"\n },\n {\n \"question_id\": \"52831\",\n \"answer\": \"Taylor was born in Sydney\"\n },\n {\n \"question_id\": \"52832\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52833\",\n \"answer\": \"Taylor was 84.\"\n },\n {\n \"question_id\": \"52834\",\n \"answer\": \"Tippi Hedren was his co-star.\"\n },\n {\n \"question_id\": \"52835\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52836\",\n \"answer\": \"The Time Machine\"\n },\n {\n \"question_id\": \"52837\",\n \"answer\": \"The Time Machine\"\n },\n {\n \"question_id\": \"52838\",\n \"answer\": \"He died at home.\"\n },\n {\n \"question_id\": \"52839\",\n \"answer\": \"His family was with him.\"\n },\n {\n \"question_id\": \"52840\",\n \"answer\": \"Inglourious Basterds\"\n },\n {\n \"question_id\": \"52841\",\n \"answer\": \"Winston Churchill\"\n },\n {\n \"question_id\": \"52842\",\n \"answer\": \"Brad Pitt\"\n },\n {\n \"question_id\": \"52843\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"52844\",\n \"answer\": \"more than three decades\"\n },\n {\n \"question_id\": \"52845\",\n \"answer\": \"Carol Taylor\"\n },\n {\n \"question_id\": \"52846\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"52847\",\n \"answer\": \"Felicia\"\n },\n {\n \"question_id\": \"52848\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"52849\",\n \"answer\": \"Los Angeles\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n By-elections also spelled bye-election (known as special elections in the United States, and bypolls in India) are used to fill elected offices that have become vacant between general elections. \n\nIn most cases these elections occur after the incumbent dies or resigns, but they also occur when the incumbent becomes ineligible to continue in office (because of a recall, ennoblement, criminal conviction, or failure to maintain a minimum attendance). Less commonly, these elections have been called when a constituency election is invalidated by voting irregularities. \n\nIn the United States, these contests have been called \"special elections\" because they do not always occur on Election Day like regular congressional elections. A 2016 study of special elections to the United States House of Representatives found \"that while candidate characteristics affect special election outcomes, presidential approval is predictive of special election outcomes as well. Furthermore, we find that the effect of presidential approval on special election outcomes has increased in magnitude from 1995 to 2014, with the 2002 midterm representing an important juncture in the nationalization of special elections.\" \n\nThe procedure for filling a vacant seat in the House of Commons of England was developed during the Reformation Parliament of the 16th century by Thomas Cromwell; previously a seat had remained empty upon the death of a member. Cromwell devised a new election that would be called by the king at a time of the king's choosing. This made it a simple matter to ensure the seat rewarded an ally of the crown.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31977\": \"What is the term used for special elections?\"\n },\n {\n \"31978\": \"Why are they special?\"\n },\n {\n \"31979\": \"What sways these elections?\"\n },\n {\n \"31980\": \"What is the main thing?\"\n },\n {\n \"31981\": \"How do you know? What was done?\"\n },\n {\n \"31982\": \"When was the study done?\"\n },\n {\n \"31983\": \"On all elections or specific ones?\"\n },\n {\n \"31984\": \"On what offices?\"\n },\n {\n \"31985\": \"Is it having more of an impact over time?\"\n },\n {\n \"31986\": \"What year was the turning point?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31977\",\n \"answer\": \"By-elections\"\n },\n {\n \"question_id\": \"31978\",\n \"answer\": \"do not always occur on Election Day\"\n },\n {\n \"question_id\": \"31979\",\n \"answer\": \"candidate characteristics\"\n },\n {\n \"question_id\": \"31980\",\n \"answer\": \"presidential approval\"\n },\n {\n \"question_id\": \"31981\",\n \"answer\": \"increased in magnitude\"\n },\n {\n \"question_id\": \"31982\",\n \"answer\": \"2016\"\n },\n {\n \"question_id\": \"31983\",\n \"answer\": \"specific\"\n },\n {\n \"question_id\": \"31984\",\n \"answer\": \"United States House of Representatives\"\n },\n {\n \"question_id\": \"31985\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"31986\",\n \"answer\": \"2002\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 has taken 90 years since she was born in a poor house in County Limerick for a woman considered America's oldest illegal immigrant to get her Irish passport.It will be a few more months before Josephine Stout will finally be declared a US citizen, entitling(...) her to a pension and other benefits. \n\nDespite having lived in America for most of her life since she arrived in 1923, the great-grandmother was declared an undocumented alien in 1999, when she tried to claim state aid to help raise her seven grandchildren, who were left orphaned when her daughter was killed by a robber over$20. \n\nEven though she has never considered herself Irish, noting \"I don't even have an accent,\" she didn't officially exist as an American when officials in Chicago insisted that she prove her citizenship in order to qualify for benefits. But she had no birth certificate or passport when she arrived on an immigrant ship from Ireland from Ireland with her parents, who had 12 other children. \n\nShe never gave the matter much thought until 1999, when she was in her late 70s and needed assistance to raise her grandchildren. For 12 years, Mrs. Stout managed to support the family by doing various jobs. But her life was hard and marked by tragedy. Her husband died in 1996, and her son Thomas died in a car accident with his girlfriend in 1985. Her only surviving child, Rosemary, died of cancer in 2009. \n\nA Catholic charity referred her case to Chicago Irish Immigrant Support(CIIS), which alerted the Irish Consulate . Through them, they tracked down her birth certificate, the website irishcentral.com reported. The document, in turn, allowed her to receive her Irish passport, and eventually her American green card in September 2011, which was dated back to November 1, 1923.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15213\": \"When did someone arrive in the USA?\"\n },\n {\n \"15214\": \"Who was it?\"\n },\n {\n \"15215\": \"Was her grandma legal?\"\n },\n {\n \"15216\": \"What about her great-grandma?\"\n },\n {\n \"15217\": \"How many kids was her great-grandma raising?\"\n },\n {\n \"15218\": \"Was she their mother?\"\n },\n {\n \"15219\": \"Where was she?\"\n },\n {\n \"15220\": \"How?\"\n },\n {\n \"15221\": \"Who helped move her issue forward?\"\n },\n {\n \"15222\": \"What did they do?\"\n },\n {\n \"15223\": \"Where they able to find anything?\"\n },\n {\n \"15224\": \"What?\"\n },\n {\n \"15225\": \"What did that allow her to do?\"\n },\n {\n \"15226\": \"How long did it ultimately take for that to happen?\"\n },\n {\n \"15227\": \"Where was she born?\"\n },\n {\n \"15228\": \"Was she wealthy?\"\n },\n {\n \"15229\": \"When will she become legal in the USA?\"\n },\n {\n \"15230\": \"She she consider herself from her homeland?\"\n },\n {\n \"15231\": \"What started the investigation?\"\n },\n {\n \"15232\": \"How did she come to the USA?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15213\",\n \"answer\": \"1923\"\n },\n {\n \"question_id\": \"15214\",\n \"answer\": \"Josephine Stout\"\n },\n {\n \"question_id\": \"15215\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"15216\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15217\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"15218\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15219\",\n \"answer\": \"dead\"\n },\n {\n \"question_id\": \"15220\",\n \"answer\": \"she was killed\"\n },\n {\n \"question_id\": \"15221\",\n \"answer\": \"A Catholic charity\"\n },\n {\n \"question_id\": \"15222\",\n \"answer\": \"referred her case to Chicago Irish Immigrant Support(CIIS)\"\n },\n {\n \"question_id\": \"15223\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"15224\",\n \"answer\": \"her birth certificate\"\n },\n {\n \"question_id\": \"15225\",\n \"answer\": \"to receive her Irish passport\"\n },\n {\n \"question_id\": \"15226\",\n \"answer\": \"90 years\"\n },\n {\n \"question_id\": \"15227\",\n \"answer\": \"in County Limerick\"\n },\n {\n \"question_id\": \"15228\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15229\",\n \"answer\": \"a few more months\"\n },\n {\n \"question_id\": \"15230\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"15231\",\n \"answer\": \"when she tried to claim state aid\"\n },\n {\n \"question_id\": \"15232\",\n \"answer\": \"on an immigrant ship\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jimmy swam around the pond. He was a duck. He was wet, but he was a duck and didn't care. He ate some bugs. He saw some worms on the bottom, but wasn't interested in them, or in the bread crumbs, or the hot dog the boy had dropped. He kept on swimming and swimming. He was a mess. After he had eaten his food, it was afternoon. The sun was setting, and Jimmy wanted to rest in the sun, and sleep. He found a nice place to sit, and began to rest. Falling asleep quickly, he slept for a few hours. When he woke up it was dark outside. He had missed dinnertime, but there were always those worms at the bottom of the pond. Jimmy ate quickly, and was soon ready to swim more. The pond was small, not a lake, or a river or a stream. He swam around for a little longer, and soon it was ready for bed in the nest, where he slept with his family Billy, Susie, and Doug. The other animals were sleeping as well, the dog and the cat on the porch. The cow was sleeping in the barn. And last the kittens in their box. Jimmy was ready for bed, it had been a long day, and the next day was going to be the same. But Jimmy did not care. He loved being a duck. Jimmy was one happy duck.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44000\": \"Was Jimmy happy?\"\n },\n {\n \"44001\": \"Where did Jimmy swim?\"\n },\n {\n \"44002\": \"What was Jimmy?\"\n },\n {\n \"44003\": \"What did he eat?\"\n },\n {\n \"44004\": \"Did he eat any worms?\"\n },\n {\n \"44005\": \"When was it after he'd eaten his food?\"\n },\n {\n \"44006\": \"What did he want to do in the sun?\"\n },\n {\n \"44007\": \"For how long?\"\n },\n {\n \"44008\": \"Was it morning when he woke?\"\n },\n {\n \"44009\": \"Did he get home for dinner?\"\n },\n {\n \"44010\": \"What did he eat instead?\"\n },\n {\n \"44011\": \"Was the pond huge?\"\n },\n {\n \"44012\": \"What were the names of his family?\"\n },\n {\n \"44013\": \"Who slept on the porch?\"\n },\n {\n \"44014\": \"Did the cow sleep on the porch too?\"\n },\n {\n \"44015\": \"Where were the kittens?\"\n },\n {\n \"44016\": \"What would the next day be like?\"\n },\n {\n \"44017\": \"What did he love?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44000\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"44001\",\n \"answer\": \"the pond\"\n },\n {\n \"question_id\": \"44002\",\n \"answer\": \"a duck\"\n },\n {\n \"question_id\": \"44003\",\n \"answer\": \"some bugs\"\n },\n {\n \"question_id\": \"44004\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44005\",\n \"answer\": \"afternoon\"\n },\n {\n \"question_id\": \"44006\",\n \"answer\": \"rest and sleep\"\n },\n {\n \"question_id\": \"44007\",\n \"answer\": \"a few hours\"\n },\n {\n \"question_id\": \"44008\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44009\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44010\",\n \"answer\": \"worms\"\n },\n {\n \"question_id\": \"44011\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44012\",\n \"answer\": \"Billy, Susie and Doug\"\n },\n {\n \"question_id\": \"44013\",\n \"answer\": \"the dog and cat\"\n },\n {\n \"question_id\": \"44014\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"44015\",\n \"answer\": \"in their box\"\n },\n {\n \"question_id\": \"44016\",\n \"answer\": \"the same\"\n },\n {\n \"question_id\": \"44017\",\n \"answer\": \"being a duck\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Approximants are speech sounds that involve the articulators approaching each other but not narrowly enough nor with enough articulatory precision to create turbulent airflow. Therefore, approximants fall between fricatives, which do produce a turbulent airstream, and vowels, which produce no turbulence. This class of sounds includes lateral approximants like (as in \"less\"), non-lateral approximants like (as in \"rest\"), and semivowels like and (as in \"yes\" and \"west\", respectively). \n\nBefore Peter Ladefoged coined the term \"approximant\" in the 1960s, the term \"frictionless continuant\" referred to non-lateral approximants. \n\nSome approximants resemble vowels in acoustic and articulatory properties and the terms \"semivowel\" and \"glide\" are often used for these non-syllabic vowel-like segments. The correlation between semivowels and vowels is strong enough that cross-language differences between semivowels correspond with the differences between their related vowels. \n\nVowels and their corresponding semivowels alternate in many languages depending on the phonological environment, or for grammatical reasons, as is the case with Indo-European ablaut. Similarly, languages often avoid configurations where a semivowel precedes its corresponding vowel. A number of phoneticians distinguish between semivowels and approximants by their location in a syllable. Although he uses the terms interchangeably, remarks that, for example, the final glides of English \"par\" and \"buy\" differ from French \"par\" ('through') and \"baille\" ('tub') in that, in the latter pair, the approximants appear in the syllable coda, whereas, in the former, they appear in the syllable nucleus. This means that opaque (if not minimal) contrasts can occur in languages like Italian (with the i-like sound of \"piede\" 'foot', appearing in the nucleus: , and that of \"piano\" 'slow', appearing in the syllable onset: ) and Spanish (with a near minimal pair being \"abyecto\" 'abject' and \"abierto\" 'opened').\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85293\": \"Who came up with the term approximant?\"\n },\n {\n \"85294\": \"When?\"\n },\n {\n \"85295\": \"What word was used before that?\"\n },\n {\n \"85296\": \"What did that represent?\"\n },\n {\n \"85297\": \"Are they fricatives?\"\n },\n {\n \"85298\": \"What speech sound makes no turbulence?\"\n },\n {\n \"85299\": \"What do languages frequently avoid?\"\n },\n {\n \"85300\": \"What does location within a syllable help distinguish?\"\n },\n {\n \"85301\": \"Can Italian have opaque contrasts?\"\n },\n {\n \"85302\": \"What about Spanish?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85293\",\n \"answer\": \"Peter Ladefoged\"\n },\n {\n \"question_id\": \"85294\",\n \"answer\": \"in the 1960s,\"\n },\n {\n \"question_id\": \"85295\",\n \"answer\": \"frictionless continuant\"\n },\n {\n \"question_id\": \"85296\",\n \"answer\": \"speech sounds that involve the articulators approaching each other but not narrowly enough nor with enough articulatory precision to create turbulent airflow\"\n },\n {\n \"question_id\": \"85297\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85298\",\n \"answer\": \"vowels\"\n },\n {\n \"question_id\": \"85299\",\n \"answer\": \"they avoid configurations where a semivowel precedes its corresponding vowel\"\n },\n {\n \"question_id\": \"85300\",\n \"answer\": \"semivowels and approximants\"\n },\n {\n \"question_id\": \"85301\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85302\",\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) -- The man whose face was chewed off by a naked man in a brutal assault in Miami says he doesn't know why his attacker singled him out, according to CNN affiliate WFOR. \n\n\"He attacked me,\" Ronald Poppo said of his assailant in a police recording obtained by the affiliate and broadcast Thursday. \"He just ripped me to ribbons. He chewed up my face. He plucked out my eyes. Basically that's all there is to say about it.\" \n\nPoppo, who is now blind, said he initially thought Rudy Eugene, 31, was \"a good guy.\" \n\n\"But he just went and turned berserk,\" he recalled of the May incident. \"He apparently didn't have a good day at the beach and he -- he was coming back. And I guess he took it out, took it out on me or something. I don't know.\" \n\nPoppo's statements were made and recorded during a July 19 interview with Miami police. \n\nEugene was killed by a police officer after the 18-minute attack, which was captured by on video by a surveillance camera. \n\nIt shows Eugene coming across 65-year-old Poppo on a sidewalk along Miami's MacArthur Causeway, stripping clothes off him and eventually chewing on his face. Police said Poppo lost 75% of his face in the attack. \n\nA police official initially theorized that Eugene was under the influence of \"bath salts,\" a drug that contains synthetic stimulants that can \"cause chest pains, increased blood pressure, increased heart rate, agitation, hallucinations, extreme paranoia and delusions,\" according to the National Institute of Drug Abuse. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14781\": \"Who was attacked?\"\n },\n {\n \"14782\": \"By whom?\"\n },\n {\n \"14783\": \"How was he assaulted?\"\n },\n {\n \"14784\": \"Was the attacker wearing a bathing suit?\"\n },\n {\n \"14785\": \"Why did the attack happen?\"\n },\n {\n \"14786\": \"Did Eugene survive?\"\n },\n {\n \"14787\": \"How long was the assault?\"\n },\n {\n \"14788\": \"Where was Poppo?\"\n },\n {\n \"14789\": \"On what road?\"\n },\n {\n \"14790\": \"In what city?\"\n },\n {\n \"14791\": \"And then what?\"\n },\n {\n \"14792\": \"And then what?\"\n },\n {\n \"14793\": \"How much of his face did Poppo lose?\"\n },\n {\n \"14794\": \"What drug might have Eugene taken?\"\n },\n {\n \"14795\": \"Do bath salts cause visions?\"\n },\n {\n \"14796\": \"How old is Poppo?\"\n },\n {\n \"14797\": \"And the aggressor?\"\n },\n {\n \"14798\": \"Is Poppo blind now?\"\n },\n {\n \"14799\": \"What did he think at first?\"\n },\n {\n \"14800\": \"Where was the video filmed?\"\n },\n {\n \"14801\": \"Who reported the story?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14781\",\n \"answer\": \"Ronald Poppo\"\n },\n {\n \"question_id\": \"14782\",\n \"answer\": \"Rudy Eugene\"\n },\n {\n \"question_id\": \"14783\",\n \"answer\": \"his face was chewed off\"\n },\n {\n \"question_id\": \"14784\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14785\",\n \"answer\": \"He apparently didn't have a good day at the beach\"\n },\n {\n \"question_id\": \"14786\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14787\",\n \"answer\": \"18 minutes\"\n },\n {\n \"question_id\": \"14788\",\n \"answer\": \"a sidewalk\"\n },\n {\n \"question_id\": \"14789\",\n \"answer\": \"MacArthur Causeway,\"\n },\n {\n \"question_id\": \"14790\",\n \"answer\": \"Miami\"\n },\n {\n \"question_id\": \"14791\",\n \"answer\": \"stripped Poppo's clothes\"\n },\n {\n \"question_id\": \"14792\",\n \"answer\": \"chewing on his face\"\n },\n {\n \"question_id\": \"14793\",\n \"answer\": \"75%\"\n },\n {\n \"question_id\": \"14794\",\n \"answer\": \"bath salts\"\n },\n {\n \"question_id\": \"14795\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14796\",\n \"answer\": \"65\"\n },\n {\n \"question_id\": \"14797\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"14798\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14799\",\n \"answer\": \"Eugene was a good guy\"\n },\n {\n \"question_id\": \"14800\",\n \"answer\": \"surveillance camera\"\n },\n {\n \"question_id\": \"14801\",\n \"answer\": \"WFOR\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 14: The Battle Of Clissow. \n\nCharlie sent in his name, and was shown in at once. \n\n\"I glad, indeed, to see you, Captain Carstairs,\" the minister said, as he entered. \"We had given you up for lost. We heard first that you had been murdered in the streets of Warsaw. A month later, a man brought a letter to me from your Scotch friend Ramsay, to say that you were accused of the murder of a Jew trader, a man, it seems, of some importance in Warsaw. Ramsay said that you were in the company of a band of brigands, and that the man who went with you as your servant had joined you, and had taken you some money. He forwarded the letter you had sent him explaining your position, and said he thought that, upon the whole, it was the best thing you could have done, as a vigorous search had been set on foot, at the instance of the Jews, and there would have been but little chance of your making your way through the country alone. He added that he felt confident that, if alive, you would manage somehow to rejoin us before the campaign opened in the spring. \n\n\"I am glad that you have been able to do so, but your appearance, at present, is rather that of a wealthy Polish noble, than of a companion of brigands.\" \n\n\"I was able to do some service to Count Staroski, as, when travelling with his wife and child, and his brother, Count John, he was attacked by a pack of wolves. I have been staying with him for some weeks, and his brother has now had the kindness to accompany me here. He has thereby made my passage through the country easy, as we have travelled with fast horses in his sledge, and have always put up at the chateaux of nobles of his acquaintance. I have, therefore, avoided all risk of arrest at towns. In the letter forwarded to you I explained the real circumstances of the death of the Jew.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"13849\": \"what is the chapter number?\"\n },\n {\n \"13850\": \"what is the title?\"\n },\n {\n \"13851\": \"who is the minister talking to?\"\n },\n {\n \"13852\": \"what is his first name?\"\n },\n {\n \"13853\": \"what did they first hear about him?\"\n },\n {\n \"13854\": \"where?\"\n },\n {\n \"13855\": \"how did they find out this was not true?\"\n },\n {\n \"13856\": \"from who?\"\n },\n {\n \"13857\": \"what did it say?\"\n },\n {\n \"13858\": \"what else did it say?\"\n },\n {\n \"13859\": \"who had joined him?\"\n },\n {\n \"13860\": \"did he look as they thought he would?\"\n },\n {\n \"13861\": \"what did they expect him to look like?\"\n },\n {\n \"13862\": \"how was he instead?\"\n },\n {\n \"13863\": \"who was Charlie able to work for?\"\n },\n {\n \"13864\": \"did John get into a problem?\"\n },\n {\n \"13865\": \"what was that?\"\n },\n {\n \"13866\": \"was he alone?\"\n },\n {\n \"13867\": \"how many people was he with?\"\n },\n {\n \"13868\": \"Did John repay the help?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"13849\",\n \"answer\": \"14\"\n },\n {\n \"question_id\": \"13850\",\n \"answer\": \"The Battle Of Clissow.\"\n },\n {\n \"question_id\": \"13851\",\n \"answer\": \"Captain Carstairs\"\n },\n {\n \"question_id\": \"13852\",\n \"answer\": \"Charlie\"\n },\n {\n \"question_id\": \"13853\",\n \"answer\": \"he had been murdered\"\n },\n {\n \"question_id\": \"13854\",\n \"answer\": \"streets of Warsaw\"\n },\n {\n \"question_id\": \"13855\",\n \"answer\": \"they received a letter\"\n },\n {\n \"question_id\": \"13856\",\n \"answer\": \"Ramsay\"\n },\n {\n \"question_id\": \"13857\",\n \"answer\": \"he was accused of the murder of a Jew trader\"\n },\n {\n \"question_id\": \"13858\",\n \"answer\": \"he was in the company of a band of brigands\"\n },\n {\n \"question_id\": \"13859\",\n \"answer\": \"the man who went with him as his servant\"\n },\n {\n \"question_id\": \"13860\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13861\",\n \"answer\": \"a companion of brigands\"\n },\n {\n \"question_id\": \"13862\",\n \"answer\": \"a wealthy Polish noble\"\n },\n {\n \"question_id\": \"13863\",\n \"answer\": \"Count Staroski\"\n },\n {\n \"question_id\": \"13864\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"13865\",\n \"answer\": \"he was attacked by a pack of wolves\"\n },\n {\n \"question_id\": \"13866\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"13867\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"13868\",\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) -- Sebastian Vettel and Fernando Alonso will battle it out for the Formula One title at the final race in Brazil after Lewis Hamilton's victory in Texas ensured the German must wait for his third successive championship crown. \n\nHamilton secured back-to-back victories at the United States Grand Prix in front of a capacity crowd of 135,000, overtaking Red Bull's Vettel on lap 42 of 56 in Austin and relegating the 25-year-old to second in his 100th F1 race. \n\nAlonso kept his title dream alive by finishing third, and gained a controversial place on the grid before the race after teammate Felipe Massa broke the seal on his Ferrari's gearbox and took a five place penalty. \n\nIt all points towards a dramatic climax in Sao Paulo, where Vettel will defend a 13-point lead over his Spanish rival, needing to finish fourth or higher to retain the world championship. \n\nLatest F1 standings \n\nThe race marked a triumphant return to the United States for Formula One after an absence of five years, with drivers and pundits impressed with the show put on at the newly built Circuit of the Americas. \n\nThough he didn't clinch the drivers' championship crown, Vettel's performance did ensure Red Bull won the constructors' championship for the third time in a row. \n\nBut the German, who was heard to be angry on the team radio after Hamilton passed him, blamed Force India backmarker Narain Karthikeyan for slowing him down at a critical moment of the race. \n\n\"I wasn't too happy to send a nice big invitation to Lewis when I had to go through Karthikeyan,\" he said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99346\": \"who drives for red bull?\"\n },\n {\n \"99347\": \"who won in United States?\"\n },\n {\n \"99348\": \"Was there a large audience?\"\n },\n {\n \"99349\": \"jpw nog?\"\n },\n {\n \"99350\": \"how big was the crowd?\"\n },\n {\n \"99351\": \"who is hamilton not happy with?\"\n },\n {\n \"99352\": \"why?\"\n },\n {\n \"99353\": \"did red bull win anything?\"\n },\n {\n \"99354\": \"what?\"\n },\n {\n \"99355\": \"did Vettel get the championship crown?\"\n },\n {\n \"99356\": \"what position did he finish at?\"\n },\n {\n \"99357\": \"where is he driving next?\"\n },\n {\n \"99358\": \"how old is Vettel?\"\n },\n {\n \"99359\": \"what kind of race is being discussed?\"\n },\n {\n \"99360\": \"has it been regular in the U.S?\"\n },\n {\n \"99361\": \"How long has it been away?\"\n },\n {\n \"99362\": \"is Hamilton going to Brazil?\"\n },\n {\n \"99363\": \"who else is going?\"\n },\n {\n \"99364\": \"What position was Fernando?\"\n },\n {\n \"99365\": \"what happened to his team mates car?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99346\",\n \"answer\": \"Sebastian Vettel\"\n },\n {\n \"question_id\": \"99347\",\n \"answer\": \"Lewis Hamilton\"\n },\n {\n \"question_id\": \"99348\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99349\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"99350\",\n \"answer\": \"135,000\"\n },\n {\n \"question_id\": \"99351\",\n \"answer\": \"Force India backmarker Narain Karthikeyan\"\n },\n {\n \"question_id\": \"99352\",\n \"answer\": \"slowing him down\"\n },\n {\n \"question_id\": \"99353\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99354\",\n \"answer\": \"constructors' championship\"\n },\n {\n \"question_id\": \"99355\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"99356\",\n \"answer\": \"second\"\n },\n {\n \"question_id\": \"99357\",\n \"answer\": \"Sao Paulo\"\n },\n {\n \"question_id\": \"99358\",\n \"answer\": \"25\"\n },\n {\n \"question_id\": \"99359\",\n \"answer\": \"Formula One\"\n },\n {\n \"question_id\": \"99360\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"99361\",\n \"answer\": \"five years\"\n },\n {\n \"question_id\": \"99362\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"99363\",\n \"answer\": \"Sebastian Vettel and Fernando Alonso\"\n },\n {\n \"question_id\": \"99364\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"99365\",\n \"answer\": \"broke the seal on his gearbox\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Be home by dinnertime, Eric's mother said as he left for school that morning. Eric was excited. Today was show and tell, and he planned to do his magic tricks for the whole class. Once he got to school, he couldn't wait until it was his turn. First up was Angie, who brought her pet lizard. It could change colors to match whatever it was sitting on. The second to be called was John, who showed the class a flower he had grown from seeds. Finally Eric's name was called. He went to the front of the class. \"For my first trick\" he said, \"I'll pull a hamster out of a hat\". He had borrowed his sister Candice's pet hamster in order to do his trick. He showed the class his that the hat was empty, then he reached inside, into the secret space where the hamster was hidden. The hamster was gone. He heard a scream. Two girls were standing on their chairs, and the hamster was crawling toward the back of the class. The teacher made him stay after school as punishment, but at least he made it home by dinnertime.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76352\": \"When was he told to be home by?\"\n },\n {\n \"76353\": \"who told him that?\"\n },\n {\n \"76354\": \"and why was he eager?\"\n },\n {\n \"76355\": \"and what did he plan to do for the event?\"\n },\n {\n \"76356\": \"what reptile did his friend bring?\"\n },\n {\n \"76357\": \"and what did the next guy show?\"\n },\n {\n \"76358\": \"what animal was he going to pull from a cap?\"\n },\n {\n \"76359\": \"did it work?\"\n },\n {\n \"76360\": \"where was it?\"\n },\n {\n \"76361\": \"what did he have to do as penalty?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76352\",\n \"answer\": \"by dinnertime\"\n },\n {\n \"question_id\": \"76353\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"76354\",\n \"answer\": \"Today was show and tell\"\n },\n {\n \"question_id\": \"76355\",\n \"answer\": \"magic tricks\"\n },\n {\n \"question_id\": \"76356\",\n \"answer\": \"pet lizard\"\n },\n {\n \"question_id\": \"76357\",\n \"answer\": \"a flower\"\n },\n {\n \"question_id\": \"76358\",\n \"answer\": \"hamster\"\n },\n {\n \"question_id\": \"76359\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"76360\",\n \"answer\": \"the back of the class\"\n },\n {\n \"question_id\": \"76361\",\n \"answer\": \"stay after 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 Michelle Obama made a daring decision to return to the same designer who created her Inaugural Ball dress four years ago --- and the risk paid off. \n\nThe First Lady looked extremely attractive in a thin, sweeping, and ruby-colored dress by designer Jason Wu. She teamed the dramatic dress with heels by Jimmy Choo and a diamond ring by Kimberly McDonald. \n\nShe surprised the fashion establishment by returning to a Wu design which had been the custom made for her. \n\nFour years ago at her first Inauguration Ball, Michelle shimmered in an off-white, one-shouldered floor-length dress by the designer. \n\nWu, who was 26 at the time and had only been working in fashion for three years, saw his career take off after the First Lady's surprise decision to wear one of his dresses. \n\nHe said at the time that he was unaware she had chosen the dress and had been watching at home on his couch and eating pizza when she appeared. \n\nAfter her 2013 decision, Wu told Women's Wear Daily: \"Mrs Obama likes to keep her secrets. She fooled me again.\" \n\nWu released a women's clothing and accessories collection at Target last year and continues to be popular with the First Lady for official engagements. \n\nThe sleeveless, cross-halter neck dress with low-cut back flattered 49-year-old Michelle's arms and neat waist. \n\nIt had been created especially for her by Wu and was a departure from the dark and plain colour tone she stuck to at earlier inauguration events. \n\nMrs Obama's new hairstyle -- she had bangs cut on her birthday last week had been loosely tousled for the special night. \n\nVice-President Joe Biden's wife Jill also looked attractive in a blue silk dress by Vera Wang at the Inauguration Ball.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93562\": \"what did Michelle do with her hair for her birthday?\"\n },\n {\n \"93563\": \"who did she choose as her designer?\"\n },\n {\n \"93564\": \"Was Jason expecting it the first time?\"\n },\n {\n \"93565\": \"how did he say she fooled him?\"\n },\n {\n \"93566\": \"what kind of a dress did she wear when she was 49?\"\n },\n {\n \"93567\": \"what part of her body looked good?\"\n },\n {\n \"93568\": \"were the shoes designed by Wu?\"\n },\n {\n \"93569\": \"who were her heels by?\"\n },\n {\n \"93570\": \"what year did she first wear his design?\"\n },\n {\n \"93571\": \"how old was wu then?\"\n },\n {\n \"93572\": \"how was the dress different?\"\n },\n {\n \"93573\": \"what kind of dress did she wear 4 years ago?\"\n },\n {\n \"93574\": \"Which retailer does he work with?\"\n },\n {\n \"93575\": \"who designed Jill's dress?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93562\",\n \"answer\": \"she had bangs cut\"\n },\n {\n \"question_id\": \"93563\",\n \"answer\": \"Jason Wu\"\n },\n {\n \"question_id\": \"93564\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93565\",\n \"answer\": \"By wearing the dress\"\n },\n {\n \"question_id\": \"93566\",\n \"answer\": \"sleeveless, cross-halter neck dress with low-cut back flattered 49-year-old Michelle's arms and neat waist.\"\n },\n {\n \"question_id\": \"93567\",\n \"answer\": \"arms and neat waist\"\n },\n {\n \"question_id\": \"93568\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"93569\",\n \"answer\": \"Jimmy Choo\"\n },\n {\n \"question_id\": \"93570\",\n \"answer\": \"2013\"\n },\n {\n \"question_id\": \"93571\",\n \"answer\": \"26\"\n },\n {\n \"question_id\": \"93572\",\n \"answer\": \"departure from the dark and plain colour tone she normally wore\"\n },\n {\n \"question_id\": \"93573\",\n \"answer\": \"off-white, one-shouldered floor-length dress\"\n },\n {\n \"question_id\": \"93574\",\n \"answer\": \"Target\"\n },\n {\n \"question_id\": \"93575\",\n \"answer\": \"Vera Wang\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n New Zealand is an island country in the southwestern Pacific Ocean. The country geographically comprises two main landmasses—the North Island (or \"Te Ika-a-Māui\"), and the South Island (or \"Te Waipounamu\")—and around 600 smaller islands. New Zealand is situated some east of Australia across the Tasman Sea and roughly south of the Pacific island areas of New Caledonia, Fiji, and Tonga. Because of its remoteness, it was one of the last lands to be settled by humans. During its long period of isolation, New Zealand developed a distinct biodiversity of animal, fungal and plant life. The country's varied topography and its sharp mountain peaks, such as the Southern Alps, owe much to the tectonic uplift of land and volcanic eruptions. New Zealand's capital city is Wellington, while its most populous city is Auckland. \n\nSometime between 1250 and 1300 CE, Polynesians settled in the islands that later were named New Zealand and developed a distinctive Māori culture. In 1642, Dutch explorer Abel Tasman became the first European to sight New Zealand. In 1840, representatives of Britain and Māori chiefs signed the Treaty of Waitangi, which declared British sovereignty over the islands. In 1841, New Zealand became a colony within the British Empire and in 1907 it became a Dominion. Today, the majority of New Zealand's population of 4.7 million is of European descent; the indigenous Māori are the largest minority, followed by Asians and Pacific Islanders. Reflecting this, New Zealand's culture is mainly derived from Māori and early British settlers, with recent broadening arising from increased immigration. The official languages are English, Māori and New Zealand Sign Language, with English predominant.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"10208\": \"What ocean is New Zealand in?\"\n },\n {\n \"10209\": \"Which part?\"\n },\n {\n \"10210\": \"What are the two parts of NZ?\"\n },\n {\n \"10211\": \"What is the North Island also known as?\"\n },\n {\n \"10212\": \"And the South Island?\"\n },\n {\n \"10213\": \"How many small islands are there?\"\n },\n {\n \"10214\": \"Where is it in relation to Australia?\"\n },\n {\n \"10215\": \"across which body of water?\"\n },\n {\n \"10216\": \"and south of what?\"\n },\n {\n \"10217\": \"Was it setetled early by humans?\"\n },\n {\n \"10218\": \"Is the topography all the same?\"\n },\n {\n \"10219\": \"Does it have mountains?\"\n },\n {\n \"10220\": \"which ones?\"\n },\n {\n \"10221\": \"What is its capital?\"\n },\n {\n \"10222\": \"What is the most populous city?\"\n },\n {\n \"10223\": \"What happened between 1250 and 1300?\"\n },\n {\n \"10224\": \"what kind of culture did they have?\"\n },\n {\n \"10225\": \"Who is Tasman?\"\n },\n {\n \"10226\": \"What happened in 1840?\"\n },\n {\n \"10227\": \"and in 1841?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"10208\",\n \"answer\": \"Pacific Ocean\"\n },\n {\n \"question_id\": \"10209\",\n \"answer\": \"southwestern\"\n },\n {\n \"question_id\": \"10210\",\n \"answer\": \"the North Island and the South Island\"\n },\n {\n \"question_id\": \"10211\",\n \"answer\": \"Te Ika-a-M\\u0101ui\"\n },\n {\n \"question_id\": \"10212\",\n \"answer\": \"Te Waipounamu\"\n },\n {\n \"question_id\": \"10213\",\n \"answer\": \"around 600\"\n },\n {\n \"question_id\": \"10214\",\n \"answer\": \"east of Australia\"\n },\n {\n \"question_id\": \"10215\",\n \"answer\": \"Tasman Sea\"\n },\n {\n \"question_id\": \"10216\",\n \"answer\": \"Pacific island areas of New Caledonia, Fiji, and Tonga\"\n },\n {\n \"question_id\": \"10217\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10218\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"10219\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"10220\",\n \"answer\": \"Southern Alps\"\n },\n {\n \"question_id\": \"10221\",\n \"answer\": \"Wellington\"\n },\n {\n \"question_id\": \"10222\",\n \"answer\": \"Auckland\"\n },\n {\n \"question_id\": \"10223\",\n \"answer\": \"Polynesians settled in the islands\"\n },\n {\n \"question_id\": \"10224\",\n \"answer\": \"M\\u0101ori culture\"\n },\n {\n \"question_id\": \"10225\",\n \"answer\": \"first European to sight New Zealand\"\n },\n {\n \"question_id\": \"10226\",\n \"answer\": \"representatives of Britain and M\\u0101ori chiefs signed the Treaty of Waitangi, which declared British sovereignty over the islands\"\n },\n {\n \"question_id\": \"10227\",\n \"answer\": \"New Zealand became a colony\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Miami, Florida (CNN) -- NBA superstar LeBron James arrived in the Miami area Friday, the morning after he spurned the Cleveland Cavaliers for the Miami Heat. \n\nSouthern Florida's newest VIP is causing a stir already. The Heat announced it has sold out its \"currently available\" season ticket inventory. After \"extremely brisk\" sales over the past couple of weeks, sales peaked \"in a new intensity the last couple of days,\" Heat President of Business Operations Eric Woolworth said in a press release. \n\nSince Wednesday, James and his fellow U.S. Olympian and perennial NBA all-star Chris Bosh have committed to leaving their old teams to join the Heat and its star, Dwyane Wade. \n\nWade led the Heat to the 2006 NBA championship and has agreed to re-sign with Miami and Bosh was a standout with the Toronto Raptors. Wade said Bosh's decision made it easy for him and James to choose their destinations. \n\n\"When Chris Bosh said he wanted to be down here in Miami, I think that opened up the floodgates for all of us to say, 'You know what? This is the time to do something in history that hasn't been done,' and that's all three players of this caliber come together in their prime to do something amazing.\" Wade said. \n\n\"We're going to be a really good team,\" James said. \n\nJames, who joined the Cavaliers straight out of high school and played forward for the team for his entire career, announced his decision during a much-ballyhooed ESPN special Thursday entitled \"The Decision.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32949\": \"Who arrived?\"\n },\n {\n \"32950\": \"Where?\"\n },\n {\n \"32951\": \"When?\"\n },\n {\n \"32952\": \"Who did he used to work for?\"\n },\n {\n \"32953\": \"And now?\"\n },\n {\n \"32954\": \"Are tickets available?\"\n },\n {\n \"32955\": \"How many players left their old teams?\"\n },\n {\n \"32956\": \"Who else left?\"\n },\n {\n \"32957\": \"Who is the Heat's star?\"\n },\n {\n \"32958\": \"When did the Heat win?\"\n },\n {\n \"32959\": \"Which championship?\"\n },\n {\n \"32960\": \"Where did Bosh play?\"\n },\n {\n \"32961\": \"How many players will be together?\"\n },\n {\n \"32962\": \"Did James go to college?\"\n },\n {\n \"32963\": \"Why not?\"\n },\n {\n \"32964\": \"What is his position?\"\n },\n {\n \"32965\": \"When did he announce it?\"\n },\n {\n \"32966\": \"On what network?\"\n },\n {\n \"32967\": \"On what show?\"\n },\n {\n \"32968\": \"Has James played for another team?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32949\",\n \"answer\": \"LeBron James\"\n },\n {\n \"question_id\": \"32950\",\n \"answer\": \"in the Miami area\"\n },\n {\n \"question_id\": \"32951\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"32952\",\n \"answer\": \"Cleveland Cavaliers\"\n },\n {\n \"question_id\": \"32953\",\n \"answer\": \"Miami Heat\"\n },\n {\n \"question_id\": \"32954\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32955\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"32956\",\n \"answer\": \"Chris Bosh\"\n },\n {\n \"question_id\": \"32957\",\n \"answer\": \"Dwyane Wade.\"\n },\n {\n \"question_id\": \"32958\",\n \"answer\": \"2006\"\n },\n {\n \"question_id\": \"32959\",\n \"answer\": \"NBA\"\n },\n {\n \"question_id\": \"32960\",\n \"answer\": \"Toronto Raptors\"\n },\n {\n \"question_id\": \"32961\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"32962\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32963\",\n \"answer\": \"he joined the Cavaliers straight out of high school\"\n },\n {\n \"question_id\": \"32964\",\n \"answer\": \"forward\"\n },\n {\n \"question_id\": \"32965\",\n \"answer\": \"Thursday\"\n },\n {\n \"question_id\": \"32966\",\n \"answer\": \"ESPN\"\n },\n {\n \"question_id\": \"32967\",\n \"answer\": \"\\\"The Decision\\\"\"\n },\n {\n \"question_id\": \"32968\",\n \"answer\": \"no\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Michael Jackson wanted to live forever. \n\nJust a year and a half before his death, I conducted what ended up being the last major interview with the reclusive Jackson in his suite at the Carlyle Hotel in New York City. And his words stopped me. \n\n\"Let's face it. Who wants mortality? Everybody wants immortality,\" he told me that warm September afternoon. \"You want what you create to live, be it sculpture or painting or music. Like Michelangelo said, 'I know the creator will go but his work survives. That's why to escape death I attempt to bind my soul to my work.' That's how I feel. I give my all at work. 'Cause I want it to just live.\" \n\nMost of us remember where we were when we heard that he was dead. \n\nI was mowing the lawn at my house outside Chicago when I got the first call. \n\nIn fact, I got several calls and texts with the bulletin -- first from TMZ and then from the Los Angeles Times -- that he had died. But it wasn't until I heard CNN's Wolf Blitzer announce it at 6:28 p.m. ET that I finally believed it. \n\nMichael Jackson was dead. \n\nSure, I was shocked when I heard the news that the King of Pop had left the world. But, in a way, I was not all that surprised. Jackson, even as troubled as he was, had given his all to the world during his 50 years on the planet. And now he was in the hands of history. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93070\": \"Who died?\"\n },\n {\n \"93071\": \"What was he known as?\"\n },\n {\n \"93072\": \"How old was he at the time?\"\n },\n {\n \"93073\": \"Where was the last interview with him?\"\n },\n {\n \"93074\": \"Where in NYC?\"\n },\n {\n \"93075\": \"Who announced his death on CNN?\"\n },\n {\n \"93076\": \"At what time did he talk about it?\"\n },\n {\n \"93077\": \"In the evening or in the morning?\"\n },\n {\n \"93078\": \"Was the author surprised?\"\n },\n {\n \"93079\": \"Where was the author when he first found out?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93070\",\n \"answer\": \"Michael Jackson\"\n },\n {\n \"question_id\": \"93071\",\n \"answer\": \"he wanted to live forever\"\n },\n {\n \"question_id\": \"93072\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"93073\",\n \"answer\": \"New York City.\"\n },\n {\n \"question_id\": \"93074\",\n \"answer\": \"the Carlyle Hotel\"\n },\n {\n \"question_id\": \"93075\",\n \"answer\": \"Wolf Blitzer\"\n },\n {\n \"question_id\": \"93076\",\n \"answer\": \"628\"\n },\n {\n \"question_id\": \"93077\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"93078\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93079\",\n \"answer\": \"mowing the lawn\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 real life, the daily struggles between parents and children are around these narrow problems of an extra hour, extra TV show, and so on\" said Avi Sadeh, psychology professor at Tel Aviv University. \"Too little sleep and more accidents,\" he said. \n\nSadeh and his colleagues found an extra hour of sleep can make a big difference. The children who slept longer, although they woke up more frequently during the night, scored higher on tests, Sadeh reported in the March/April issue of journal Child Development. \n\n\"When the children slept longer, their sleep quality was somewhat weak, but in spite of this their performance for study improved because the extra sleep was more significant than the reduction in sleep quality. \" Sadeh said. \"Some studies suggested that lack of sleep as a child affects development into adulthood and it's more likely to develop their attention disorder when they grow older. \" \n\nIn earlier studies, Sadeh's team found that fourth graders slept an average of 8. 2 hours and sixth graders slept an average of 7. 7 hours. \n\n\"Previous research has shown children in elementary school need at least nine hours of sleep a night on a regular basis, said Carl Hunt, director of the National Center on Sleep Disorders Research in Bethesda, and high-school-age children need somewhat less, he said, adding the results of insufficient sleep could be serious. \n\n\"A tired child is an accident waiting to happen,\" Hunt said. \"And as kids get older, toys get bigger and the risks higher. \"Hunt also said too little sleep could result in learning and memory problems and long-term effects on school performance. \n\n\"This is an important extension of what we already know, \" Hunt said of Sadeh's research, adding sleep is as important as nutrition and exercise to good health. \n\n\"To put it into reality,\" Hunt said, \"parents should make sure they know when their children actually are going to sleep and their rooms are conducive to sleeping instead of playing. \"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86017\": \"Does sleeping longer make sleep quality stronger or weaker?\"\n },\n {\n \"86018\": \"How long do fourth graders sleep on average?\"\n },\n {\n \"86019\": \"What about 6th graders?\"\n },\n {\n \"86020\": \"Who discovered this?\"\n },\n {\n \"86021\": \"Was he working alone?\"\n },\n {\n \"86022\": \"Were the findings based on earlier or later studies?\"\n },\n {\n \"86023\": \"What's Sadeh's profession?\"\n },\n {\n \"86024\": \"Of what?\"\n },\n {\n \"86025\": \"Where?\"\n },\n {\n \"86026\": \"How long can lack of sleep affect a kid?\"\n },\n {\n \"86027\": \"Based on what?\"\n },\n {\n \"86028\": \"What's an accident waiting to happen?\"\n },\n {\n \"86029\": \"Who said that?\"\n },\n {\n \"86030\": \"Who's he?\"\n },\n {\n \"86031\": \"Where?\"\n },\n {\n \"86032\": \"What town is that located in?\"\n },\n {\n \"86033\": \"Do high-school aged kids need more or less sleep?\"\n },\n {\n \"86034\": \"How many hours should kids in elementary school get?\"\n },\n {\n \"86035\": \"What should parents make sure their kids rooms are conducive for?\"\n },\n {\n \"86036\": \"Instead of what?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86017\",\n \"answer\": \"Weaker\"\n },\n {\n \"question_id\": \"86018\",\n \"answer\": \"8.2 hours\"\n },\n {\n \"question_id\": \"86019\",\n \"answer\": \"7.7 hours\"\n },\n {\n \"question_id\": \"86020\",\n \"answer\": \"Avi Sadeh\"\n },\n {\n \"question_id\": \"86021\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86022\",\n \"answer\": \"earlier\"\n },\n {\n \"question_id\": \"86023\",\n \"answer\": \"Professor\"\n },\n {\n \"question_id\": \"86024\",\n \"answer\": \"Psychology\"\n },\n {\n \"question_id\": \"86025\",\n \"answer\": \"Tel Aviv University\"\n },\n {\n \"question_id\": \"86026\",\n \"answer\": \"Into adulthood\"\n },\n {\n \"question_id\": \"86027\",\n \"answer\": \"Some studies\"\n },\n {\n \"question_id\": \"86028\",\n \"answer\": \"A tired child\"\n },\n {\n \"question_id\": \"86029\",\n \"answer\": \"Carl Hunt\"\n },\n {\n \"question_id\": \"86030\",\n \"answer\": \"a director\"\n },\n {\n \"question_id\": \"86031\",\n \"answer\": \"The National Center on Sleep Disorders Research\"\n },\n {\n \"question_id\": \"86032\",\n \"answer\": \"Bethesda\"\n },\n {\n \"question_id\": \"86033\",\n \"answer\": \"less\"\n },\n {\n \"question_id\": \"86034\",\n \"answer\": \"Nine\"\n },\n {\n \"question_id\": \"86035\",\n \"answer\": \"Sleeping\"\n },\n {\n \"question_id\": \"86036\",\n \"answer\": \"Playing\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 To succeed in business or life we must continually take actions. Putting yourself on the line day after day can be extremely boring, especially when things do not work out as desired. Each time a disappointing event happens, I like to get reminded of these famous failures: Gates has literally changed the work culture of the world in the 20the and the 21st centuries, by simplifying the way the computer is being used. He was the world's richest man for more than one decade. However, in the 1970's before starting out, he was a Harvard University dropout. The most ironic part is that he started a software company by purchasing the software technology from someone for only $50 back then. Lincoln received no more than five years of formal education throughout his lifetime. When he grew up, he joined politics and had 12 major failures before he was elected the 16th President of the United States of America. Newton was the greatest English mathematician of his generation. His work on optics and gravitation made him one of the greatest scientists the world has even known. Many thought that Newton was born a genius, but he wasn't! When he was young, he did very poorly in grade school, so poor that his teachers became helpless in improving his grades. Beethoven is widely regarded as one of history's great composers. His reputation has inspired composers, musicians and audiences who were to come after him. Before the start of his career, Beethoven's music teacher once said of him \"as a composer, he is hopeless\". And during his career, he lost his hearing yet he managed to produce great music. A deaf man composing music, ironic, isn't it!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57336\": \"What must we do to succeed in business?\"\n },\n {\n \"57337\": \"What can be extremely boring?\"\n },\n {\n \"57338\": \"Who was supposedly the world's richest man for over a decade?\"\n },\n {\n \"57339\": \"What did many think of Newton?\"\n },\n {\n \"57340\": \"Where was Newton from?\"\n },\n {\n \"57341\": \"How did he perform in school?\"\n },\n {\n \"57342\": \"Who is one of history's best composers?\"\n },\n {\n \"57343\": \"What did he lose as an adult?\"\n },\n {\n \"57344\": \"Who was the 16th president?\"\n },\n {\n \"57345\": \"How did Gates change work culture?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57336\",\n \"answer\": \"take action\"\n },\n {\n \"question_id\": \"57337\",\n \"answer\": \"putting yourself on the line every day\"\n },\n {\n \"question_id\": \"57338\",\n \"answer\": \"Gates\"\n },\n {\n \"question_id\": \"57339\",\n \"answer\": \"he was born a genius\"\n },\n {\n \"question_id\": \"57340\",\n \"answer\": \"zEngland\"\n },\n {\n \"question_id\": \"57341\",\n \"answer\": \"poorly\"\n },\n {\n \"question_id\": \"57342\",\n \"answer\": \"Beethoven\"\n },\n {\n \"question_id\": \"57343\",\n \"answer\": \"his hearing\"\n },\n {\n \"question_id\": \"57344\",\n \"answer\": \"Lincoln\"\n },\n {\n \"question_id\": \"57345\",\n \"answer\": \"simplifying computer use'\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 girl was scared. She had been lost in the woods for over an hour. Then she heard something howling in the distance. Finally, it was getting dark. It all made her more scared than she had ever been. The howling grew louder. Then the girl came into a small opening in the woods. And she saw the wolf! She was so scared she cried out, \"Please don't eat me Mr. Wolf!\" A grey wolf, with grey fur, black eyes, and white teeth looked at her. Then he let out a big, wolf laugh. \"Haha, I am not going to eat you! I don't like to eat humans! They taste bad. Plus, I am full! Do you want some spaghetti? It's been cooking for days! I was going to make some salad but I am out. I'll go to the grocery store tomorrow, I haven't been there in months!\" The girl was confused. A wolf who ate salad? But she was hungry. So she sat down and ate with the wolf. He was so pleased she ate with him he gave her a map. Then he showed her how to get out of the woods. Her mother would never believe her.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97892\": \"Why didn't the wolf eat the girl?\"\n },\n {\n \"97893\": \"What did he eat instead?\"\n },\n {\n \"97894\": \"Did the girl eat salad?\"\n },\n {\n \"97895\": \"Where did they meet?\"\n },\n {\n \"97896\": \"What did he give her?\"\n },\n {\n \"97897\": \"Why?\"\n },\n {\n \"97898\": \"What will he do the next day?\"\n },\n {\n \"97899\": \"Was it daytime?\"\n },\n {\n \"97900\": \"Did they have dinner together?\"\n },\n {\n \"97901\": \"What color was he?\"\n },\n {\n \"97902\": \"What about his eyes?\"\n },\n {\n \"97903\": \"How did she feel at the beginning?\"\n },\n {\n \"97904\": \"How long was the meal cooking?\"\n },\n {\n \"97905\": \"Why doesn't he like eating people?\"\n },\n {\n \"97906\": \"Did they eat salad?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97892\",\n \"answer\": \"I don't like to eat humans! They taste bad. Plus, I am full!\"\n },\n {\n \"question_id\": \"97893\",\n \"answer\": \"Spaghetti\"\n },\n {\n \"question_id\": \"97894\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97895\",\n \"answer\": \"In a small opening in the woods\"\n },\n {\n \"question_id\": \"97896\",\n \"answer\": \"he gave her a map\"\n },\n {\n \"question_id\": \"97897\",\n \"answer\": \"He was so pleased she ate with him\"\n },\n {\n \"question_id\": \"97898\",\n \"answer\": \"He will go to the grocery store tomorrow\"\n },\n {\n \"question_id\": \"97899\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"97900\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"97901\",\n \"answer\": \"Grey\"\n },\n {\n \"question_id\": \"97902\",\n \"answer\": \"They were black\"\n },\n {\n \"question_id\": \"97903\",\n \"answer\": \"The girl was scared.\"\n },\n {\n \"question_id\": \"97904\",\n \"answer\": \"It's been cooking for days!\"\n },\n {\n \"question_id\": \"97905\",\n \"answer\": \"They taste bad.\"\n },\n {\n \"question_id\": \"97906\",\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 Dartmouth College is a private Ivy League research university in Hanover, New Hampshire, United States. Established in 1769 by Eleazar Wheelock, it is the ninth-oldest institution of higher education in the United States and one of the nine colonial colleges chartered before the American Revolution. Although founded as a school to educate Native Americans in Christian theology and the English way of life, Dartmouth primarily trained Congregationalist ministers throughout its early history before it gradually secularized, emerging at the turn of the 20th century from relative obscurity into national prominence. \n\nFollowing a liberal arts curriculum, the university provides undergraduate instruction in 40 academic departments and interdisciplinary programs including 57 majors in the humanities, social sciences, natural sciences, and engineering, and enables students to design specialized concentrations or engage in dual degree programs. Dartmouth comprises five constituent schools: the original undergraduate college, the Geisel School of Medicine, the Thayer School of Engineering, the Tuck School of Business, and the School of Graduate and Advanced Studies. The university also has affiliations with the Dartmouth–Hitchcock Medical Center, the Rockefeller Institute for Public Policy, and the Hopkins Center for the Arts. With a total student enrollment of about 6,400, Dartmouth is the smallest university in the Ivy League. Undergraduate admissions is highly competitive, with an acceptance rate of 10.4% for the Class of 2021, according to the university.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"91994\": \"How many academic departments does Dartmouth have?\"\n },\n {\n \"91995\": \"How many majors are there?\"\n },\n {\n \"91996\": \"What is Dartmouth?\"\n },\n {\n \"91997\": \"What state is it in?\"\n },\n {\n \"91998\": \"Who founded it?\"\n },\n {\n \"91999\": \"How many students are enrolled there?\"\n },\n {\n \"92000\": \"How does it rank in terms of size to other Ivy League colleges?\"\n },\n {\n \"92001\": \"What percentage of applicants did it let in in 2021?\"\n },\n {\n \"92002\": \"How many constituent schools is it made up of?\"\n },\n {\n \"92003\": \"What are two of them?\"\n },\n {\n \"92004\": \"What is one of the things you can major in there?\"\n },\n {\n \"92005\": \"Why was the school originally founded?\"\n },\n {\n \"92006\": \"And who did it mostly train in its early history?\"\n },\n {\n \"92007\": \"What kind of curriculum does it follow?\"\n },\n {\n \"92008\": \"Can students make their own concentrations?\"\n },\n {\n \"92009\": \"Who is Dartmouth affiliated with?\"\n },\n {\n \"92010\": \"Who else?\"\n },\n {\n \"92011\": \"What is it one of 9 of chartered before the American Revolution?\"\n },\n {\n \"92012\": \"Can you get two degrees at the college?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"91994\",\n \"answer\": \"40\"\n },\n {\n \"question_id\": \"91995\",\n \"answer\": \"57\"\n },\n {\n \"question_id\": \"91996\",\n \"answer\": \"a private Ivy League research university\"\n },\n {\n \"question_id\": \"91997\",\n \"answer\": \"New Hampshire\"\n },\n {\n \"question_id\": \"91998\",\n \"answer\": \"Eleazar Wheelock\"\n },\n {\n \"question_id\": \"91999\",\n \"answer\": \"about 6,400\"\n },\n {\n \"question_id\": \"92000\",\n \"answer\": \"the smallest\"\n },\n {\n \"question_id\": \"92001\",\n \"answer\": \"10.4\"\n },\n {\n \"question_id\": \"92002\",\n \"answer\": \"five\"\n },\n {\n \"question_id\": \"92003\",\n \"answer\": \"the undergraduate college and the Geisel School of Medicine\"\n },\n {\n \"question_id\": \"92004\",\n \"answer\": \"engineering\"\n },\n {\n \"question_id\": \"92005\",\n \"answer\": \"to educate Native Americans in Christian theology and the English way of life\"\n },\n {\n \"question_id\": \"92006\",\n \"answer\": \"Congregationalist ministers\"\n },\n {\n \"question_id\": \"92007\",\n \"answer\": \"liberal arts\"\n },\n {\n \"question_id\": \"92008\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"92009\",\n \"answer\": \"the Dartmouth\\u2013Hitchcock Medical Center\"\n },\n {\n \"question_id\": \"92010\",\n \"answer\": \"the Rockefeller Institute for Public Policy\"\n },\n {\n \"question_id\": \"92011\",\n \"answer\": \"colonial colleges\"\n },\n {\n \"question_id\": \"92012\",\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 \"Indeed,\" George Washington wrote in his diary in 1785, \" some kind of fly, or bug, had begun to eat the leaves before I left home. \" But the father of America was not the father of bug. When Washington wrote that, Englishmen had been referring to insects as bugs for more than a century,and Americans had already created lightning-bug .But the English were soon to stop using the bugs in their language, leaving it to the Americans to call a bug a bug in the nineteenth and twentieth centuries. \n\nThe American bug could also be a person, referring to someone who was crazy about a particular activity. Although fan became the usual term, sports fans used to be called racing bugs, baseball bugs, and the like. \n\nOr the bug could be a small machine or object, for example, a bug-shaped car. The bug could also be a burglar alarm, from which comes the expression to bug,that is,\"to install an alarm\". Now it means a small piece of equipment that people use for listening secretly to others' conversations. Since the 1840s,to bug has long meant\" to cheat\" , and since the 1940s it has been annoying. \n\nWe also know the bug as a _ in a computer program or other design. That meaning dates back to the time of Thomas Edison. In 1878 he explained bugs as\"little problems and difficulties\" that required months of study and labor to overcome in developing a successful product. In 1889 it was recorded that Edison\" had been up the two previous nights discovering' a bug' in his invented record player.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"32896\": \"what is the article mostly about?\"\n },\n {\n \"32897\": \"what can a bug refer to?\"\n },\n {\n \"32898\": \"who wrote bugs in his diary?\"\n },\n {\n \"32899\": \"what year?\"\n },\n {\n \"32900\": \"Do Englishmen still use the word?\"\n },\n {\n \"32901\": \"what other things can a bug be besides a person or an insect?\"\n },\n {\n \"32902\": \"like what for example?\"\n },\n {\n \"32903\": \"what is a small eaves-dropping instrument called?\"\n },\n {\n \"32904\": \"what are bugs in the context of computers?\"\n },\n {\n \"32905\": \"what inventor explained it that way?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"32896\",\n \"answer\": \"bugs\"\n },\n {\n \"question_id\": \"32897\",\n \"answer\": \"it could be a person\"\n },\n {\n \"question_id\": \"32898\",\n \"answer\": \"George Washington\"\n },\n {\n \"question_id\": \"32899\",\n \"answer\": \"1785\"\n },\n {\n \"question_id\": \"32900\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"32901\",\n \"answer\": \"a machine or an object\"\n },\n {\n \"question_id\": \"32902\",\n \"answer\": \"a bug-shaped car.\"\n },\n {\n \"question_id\": \"32903\",\n \"answer\": \"a bug!\"\n },\n {\n \"question_id\": \"32904\",\n \"answer\": \"little problems and difficulties\"\n },\n {\n \"question_id\": \"32905\",\n \"answer\": \"Thomas Edison\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Last Friday, I was coming home late after spending time with friends and thought I'd go down to the $99 cent pizza place. On the way, I saw a man sitting on the stairs alone there. I'd seen him before every day I run late to work, but this time I had no place to rush off to. \n\nThere was something about him, a quiet manner, different from many of other homeless people I had seen in New York City. I walked past him, went to the pizza place, and those 10 seconds waiting in line was enough to practice stepping outside of my usual, familiar flow. So with a few slices in hand, I went back to join him. I asked him if he was hungry. He said yes, but not for pizza because it made him uncomfortable. He'd rather have a few bucks for chicken and rice since it was easier on his stomach. It's funny, in that moment, he became more real to me. \n\nThis man I had seen almost every day was someone with specific conditions, needs, and experiences. We exchanged names and ended up talking for a little over an hour that night as Kevin told me stories from his life, how he had done things when \"he was younger and didn't know any better\" and how he tried to make amends but too much time had passed. He shared his views on the value for young adults to learn the history of other people. \n\nHe talked about his one wish being in his 60's before he leaves this earth, which is to share his story with the teenagers and young adults so they could avoid the mistakes he went through. Throughout the conversation, he eventually got his chicken and rice and gifted me a rose he had been carrying. Shortly afterwards, I made my way home, thinking to myself, \"I met an amazing homeless person\".\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72839\": \"What was the homeless person's name?\"\n },\n {\n \"72840\": \"What store was the person going to?\"\n },\n {\n \"72841\": \"In what city is this story based?\"\n },\n {\n \"72842\": \"Was he happy with the pizza that the person offered him?\"\n },\n {\n \"72843\": \"What would he rather have?\"\n },\n {\n \"72844\": \"What was his last wish before he died?\"\n },\n {\n \"72845\": \"What did he gift the person in exchange?\"\n },\n {\n \"72846\": \"What day was it when the person met the homeless person?\"\n },\n {\n \"72847\": \"What was different about this homeless person?\"\n },\n {\n \"72848\": \"Was he hungry when he was asked?\"\n },\n {\n \"72849\": \"What was the homeless person's regret?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72839\",\n \"answer\": \"Kevin\"\n },\n {\n \"question_id\": \"72840\",\n \"answer\": \"pizza place\"\n },\n {\n \"question_id\": \"72841\",\n \"answer\": \"New York City\"\n },\n {\n \"question_id\": \"72842\",\n \"answer\": \"it made him uncomfortable\"\n },\n {\n \"question_id\": \"72843\",\n \"answer\": \"chicken and rice\"\n },\n {\n \"question_id\": \"72844\",\n \"answer\": \"share his story\"\n },\n {\n \"question_id\": \"72845\",\n \"answer\": \"a rose\"\n },\n {\n \"question_id\": \"72846\",\n \"answer\": \"Friday\"\n },\n {\n \"question_id\": \"72847\",\n \"answer\": \"a quiet manner\"\n },\n {\n \"question_id\": \"72848\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"72849\",\n \"answer\": \"avoid the mistakes he went through\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Recent developments in LEDs permit them to be used in environmental and task lighting. LEDs have many advantages over incandescent light sources including lower energy consumption, longer lifetime, improved physical robustness, smaller size, and faster switching. Light-emitting diodes are now used in applications as diverse as aviation lighting, automotive headlamps, advertising, general lighting, traffic signals, camera flashes and lighted wallpaper. As of 2015[update], LEDs powerful enough for room lighting remain somewhat more expensive, and require more precise current and heat management, than compact fluorescent lamp sources of comparable output. \n\nElectroluminescence as a phenomenon was discovered in 1907 by the British experimenter H. J. Round of Marconi Labs, using a crystal of silicon carbide and a cat's-whisker detector. Soviet inventor Oleg Losev reported creation of the first LED in 1927. His research was distributed in Soviet, German and British scientific journals, but no practical use was made of the discovery for several decades. Kurt Lehovec, Carl Accardo and Edward Jamgochian, explained these first light-emitting diodes in 1951 using an apparatus employing SiC crystals with a current source of battery or pulse generator and with a comparison to a variant, pure, crystal in 1953.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21023\": \"What is the article about?\"\n },\n {\n \"21024\": \"What does this stand for?\"\n },\n {\n \"21025\": \"When were they first created?\"\n },\n {\n \"21026\": \"By whom?\"\n },\n {\n \"21027\": \"What was his occupation?\"\n },\n {\n \"21028\": \"What became of his discovery?\"\n },\n {\n \"21029\": \"Were other scientists responsible in the advancement?\"\n },\n {\n \"21030\": \"How many?\"\n },\n {\n \"21031\": \"Can you name one?\"\n },\n {\n \"21032\": \"When did they help advance the theory?\"\n },\n {\n \"21033\": \"How are they applied today?\"\n },\n {\n \"21034\": \"any other ways?\"\n },\n {\n \"21035\": \"What are those?\"\n },\n {\n \"21036\": \"Are they cheap?\"\n },\n {\n \"21037\": \"Are they hotter than standard bulbs?\"\n },\n {\n \"21038\": \"While producing the same light?\"\n },\n {\n \"21039\": \"Do they consume more power than standard bulbs?\"\n },\n {\n \"21040\": \"Do they last longer?\"\n },\n {\n \"21041\": \"Can they be seen on walls?\"\n },\n {\n \"21042\": \"How do they benefit a photographer?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21023\",\n \"answer\": \"LEDs\"\n },\n {\n \"question_id\": \"21024\",\n \"answer\": \"Light-emitting diodes\"\n },\n {\n \"question_id\": \"21025\",\n \"answer\": \"1927\"\n },\n {\n \"question_id\": \"21026\",\n \"answer\": \"Oleg Losev\"\n },\n {\n \"question_id\": \"21027\",\n \"answer\": \"inventor\"\n },\n {\n \"question_id\": \"21028\",\n \"answer\": \"was distributed in Soviet, German and British scientific journals\"\n },\n {\n \"question_id\": \"21029\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21030\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"21031\",\n \"answer\": \"Kurt Lehovec\"\n },\n {\n \"question_id\": \"21032\",\n \"answer\": \"1951\"\n },\n {\n \"question_id\": \"21033\",\n \"answer\": \"environmental and task lighting.\"\n },\n {\n \"question_id\": \"21034\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21035\",\n \"answer\": \"aviation lighting, automotive headlamps, advertising, general lighting, traffic signals, camera flashes and lighted wallpaper\"\n },\n {\n \"question_id\": \"21036\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21037\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21038\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21039\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"21040\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21041\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21042\",\n \"answer\": \"camera flashes\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXIX. \n\n\"Thus doth the ever-changing course of thing! Run a perpetual circle, ever turning; And that same day, that highest glory brings, Brings us to the point of back returning.\" \n\nDANIEL, \n\nIn scenes like that just related, it is not easy to collect details. All that was ever known, beyond the impetuous manner of the assault in which the ruins were carried, was in the dire result. Half the French on the islet were weltering in their blood, and the surface of the rocks was well sprinkled with enemies who had not been more fortunate. It had been a desperate onset, in which mortification increased natural intrepidity, which had been nobly resisted, but in which numbers had necessarily prevailed. Among the English slain was Sir Frederick Dashwood himself; he lay about a yard from his own gig, with a ball directly through his head. Griffin was seriously hurt, but Clinch was untouched, on the low rampart, waving an English Jack--after having hauled down a similar emblem of the French. His boat had first touched the rock, her crew had first reached the ruin, and, of all in her, he himself had taken the lead. Desperately had he contended for Jane and a commission, and this time Providence appeared to smile on his efforts. As for Raoul, he lay in front of his own rampart, having rushed forward to meet the party of Clinch, and had actually crossed swords with his late prisoner, when a musket-ball, fired by the hands of McBean, traversed his body. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36453\": \"Do we know all the specifics of what happened in this incident?\"\n },\n {\n \"36454\": \"What nationality was Sir Frederick Dashwood?\"\n },\n {\n \"36455\": \"What happened to him?\"\n },\n {\n \"36456\": \"How?\"\n },\n {\n \"36457\": \"Where was he found?\"\n },\n {\n \"36458\": \"How close?\"\n },\n {\n \"36459\": \"What percentage of the French were killed?\"\n },\n {\n \"36460\": \"Was Clinch killed?\"\n },\n {\n \"36461\": \"Where was he seen?\"\n },\n {\n \"36462\": \"Was he holding something?\"\n },\n {\n \"36463\": \"What\"\n },\n {\n \"36464\": \"Had he done something with an enemy flag?\"\n },\n {\n \"36465\": \"What?\"\n },\n {\n \"36466\": \"Did the smaller army win?\"\n },\n {\n \"36467\": \"Whose vessel arrived first?\"\n },\n {\n \"36468\": \"Who had a fight with him?\"\n },\n {\n \"36469\": \"What happened to him?\"\n },\n {\n \"36470\": \"Who shot him?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36453\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36454\",\n \"answer\": \"English\"\n },\n {\n \"question_id\": \"36455\",\n \"answer\": \"He was slain\"\n },\n {\n \"question_id\": \"36456\",\n \"answer\": \"A ball through his head\"\n },\n {\n \"question_id\": \"36457\",\n \"answer\": \"Near his gig\"\n },\n {\n \"question_id\": \"36458\",\n \"answer\": \"About a yard away\"\n },\n {\n \"question_id\": \"36459\",\n \"answer\": \"50\"\n },\n {\n \"question_id\": \"36460\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36461\",\n \"answer\": \"On a rampart\"\n },\n {\n \"question_id\": \"36462\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36463\",\n \"answer\": \"An English Jack\"\n },\n {\n \"question_id\": \"36464\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36465\",\n \"answer\": \"He hauled it down\"\n },\n {\n \"question_id\": \"36466\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36467\",\n \"answer\": \"Clinch's\"\n },\n {\n \"question_id\": \"36468\",\n \"answer\": \"Raoul\"\n },\n {\n \"question_id\": \"36469\",\n \"answer\": \"He was killed by a musket-ball\"\n },\n {\n \"question_id\": \"36470\",\n \"answer\": \"McBean\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nON THE PLAINS \n\nThe purchase of a buffalo robe, blankets, boots, and a Colt's revolver occupied but a short time, but the rifle was a much more difficult matter. \n\n\"You can always rely upon a Colt,\" the miner said, \"but rifles are different things; and as your life may often depend upon your shooting-iron carrying straight, you have got to be mighty careful about it. A gun that has got the name of being a good weapon will fetch four times as much as a new one.\" \n\nDenver was but a small place; there was no regular gunsmith's shop, but rifles and pistols were sold at almost every store in the town. In this quest Jerry was assisted by Pete Hoskings, who knew of several men who would be ready to dispose of their rifles. Some of these weapons were taken out into the country and tried at marks by the two men. They made what seemed to Tom wonderful shooting, but did not satisfy Hoskings. \n\n\"I should like the youngster to have a first-rate piece,\" he said, \"and I mean to get him one if I can. There are two of these would do if we can't get a better, but if there is a first-rate one to be had in this township I will have it.\" Suddenly he exclaimed, \"I must have gone off my head, and be going downright foolish! Why, I know the very weapon. You remember Billy the scout?\" \n\n\"In course I do, everyone knew him. I heard he had gone down just before I got back here.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14353\": \"What is a colt?\"\n },\n {\n \"14354\": \"What is different from a revolver?\"\n },\n {\n \"14355\": \"According to who?\"\n },\n {\n \"14356\": \"Is a Colt reliable?\"\n },\n {\n \"14357\": \"Are there any gun shops in Denver?\"\n },\n {\n \"14358\": \"Where are guns sold?\"\n },\n {\n \"14359\": \"Who is buying a gun?\"\n },\n {\n \"14360\": \"Who is helping him?\"\n },\n {\n \"14361\": \"Did Pete take him to stores to try out the guns?\"\n },\n {\n \"14362\": \"Where did they go to try them out?\"\n },\n {\n \"14363\": \"Was Pete pleased with them?\"\n },\n {\n \"14364\": \"Why kind of gun did he want for his son?\"\n },\n {\n \"14365\": \"Had he been forgetting something?\"\n },\n {\n \"14366\": \"What?\"\n },\n {\n \"14367\": \"Who could he get it from?\"\n },\n {\n \"14368\": \"What city were they in?\"\n },\n {\n \"14369\": \"Did he remember Billy?\"\n },\n {\n \"14370\": \"Did a lot of people know him?\"\n },\n {\n \"14371\": \"Where is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14353\",\n \"answer\": \"a revolver\"\n },\n {\n \"question_id\": \"14354\",\n \"answer\": \"rifles\"\n },\n {\n \"question_id\": \"14355\",\n \"answer\": \"the miner\"\n },\n {\n \"question_id\": \"14356\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14357\",\n \"answer\": \"there was no regular gunsmith's shop there\"\n },\n {\n \"question_id\": \"14358\",\n \"answer\": \"at almost every store in town\"\n },\n {\n \"question_id\": \"14359\",\n \"answer\": \"Jerry\"\n },\n {\n \"question_id\": \"14360\",\n \"answer\": \"Pete Hoskings\"\n },\n {\n \"question_id\": \"14361\",\n \"answer\": \"Pete knew several men who who would be ready to dispose of their rifles\"\n },\n {\n \"question_id\": \"14362\",\n \"answer\": \"out in the country\"\n },\n {\n \"question_id\": \"14363\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"14364\",\n \"answer\": \"a first-rate piece\"\n },\n {\n \"question_id\": \"14365\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14366\",\n \"answer\": \"where he could get the weapon\"\n },\n {\n \"question_id\": \"14367\",\n \"answer\": \"Billy the scout?\"\n },\n {\n \"question_id\": \"14368\",\n \"answer\": \"Denver\"\n },\n {\n \"question_id\": \"14369\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14370\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14371\",\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 The light from the campfire brightened the darkness, but it could not prevent the damp cold of Dennis's Swamp creeping into their bones. It was a strange place. Martin and Tom wished that they had not accepted Jack's _ . They liked camping, but not near this swamp. \n\n\"So,\" Martin asked as they sat watching the hot coals. \"How did this place get its name?\" \n\n\"Are you sure you want to hear it ? It's a scary story,\" warned Jack. \n\n\"Of course!\" cried out Tom. \"If there were anything to be scared of, you wouldn't have chosen this place!\" \n\n\"Ok, but don't say I didn't warn you,\" said Jack, and he began this tale. \n\n\"Way back in time, a man called Dennis tried to start a farm here. He built that cottage over there to live in. In those days, the area looked quite different ---- it was covered with tall trees and the swamp was a crystal-clear river. After three hard years, Dennis had cleared several fields and planted crops. He was so proud of his success that he refused to listen to advice. \n\n\"'You are clearing too much land,' warned one old man. ' The land is a living thing. It will hit back at you if you abuse it. ' \n\n\"'Silly fool,' said Dennis to himself. 'If I clear more land, I can grow more crops. I'll become wealthier. He's just jealous!'\" \n\n\"Dennis continued to chop down trees. Small animals that relied on them for food and shelter were destroyed. He was so eager to expand his farm that he did not notice the river flowing slowly towards his door. He did not notice salt seeping to the surface of the land. He did not notice swamp plants choking all the native plants.\" \n\n\"What happened?\" Martin asked. It was growing colder. He trembled, twisting his body closer to the fire. \n\n\"The land hit back ---- just as the old man warned,\" Jack shrugged. \"Dennis disappeared. Old folks around here believe that swamp plants moved up from the river and dragged him underwater. His body was never found.\" \n\n\"What a stupid story,\" laughed Tom. \"Plants can't ...\" Before he had finished speaking, he screamed and fainted . The other two boys jumped up with fright, staring at Tom. Suddenly, they burst out laughing. Some green swamp ivy had covered Tom's face. It was a while before Tom could appreciate the joke.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"64391\": \"Where the light is?\"\n },\n {\n \"64392\": \"Is the weather warm?\"\n },\n {\n \"64393\": \"How is the landscape?\"\n },\n {\n \"64394\": \"Did they regret accepting someone?\"\n },\n {\n \"64395\": \"Who was that?\"\n },\n {\n \"64396\": \"Who regretted?\"\n },\n {\n \"64397\": \"Are they watching hot something?\"\n },\n {\n \"64398\": \"What was that?\"\n },\n {\n \"64399\": \"What is the name of the place they are in?\"\n },\n {\n \"64400\": \"Who it was named after?\"\n },\n {\n \"64401\": \"Are the guys interested in the naming of the place?\"\n },\n {\n \"64402\": \"Who told the story to them/\"\n },\n {\n \"64403\": \"How did the land look before?\"\n },\n {\n \"64404\": \"Did the man clear that out?\"\n },\n {\n \"64405\": \"How long it took him to do that?\"\n },\n {\n \"64406\": \"What he planted there?\"\n },\n {\n \"64407\": \"Did someone warned him?\"\n },\n {\n \"64408\": \"Who?\"\n },\n {\n \"64409\": \"Did he listen to that?\"\n },\n {\n \"64410\": \"What happened to him then?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"64391\",\n \"answer\": \"Campfire\"\n },\n {\n \"question_id\": \"64392\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"64393\",\n \"answer\": \"Strange\"\n },\n {\n \"question_id\": \"64394\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64395\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"64396\",\n \"answer\": \"Martin and Tom\"\n },\n {\n \"question_id\": \"64397\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64398\",\n \"answer\": \"Coals\"\n },\n {\n \"question_id\": \"64399\",\n \"answer\": \"Dennis's Swamp\"\n },\n {\n \"question_id\": \"64400\",\n \"answer\": \"Dennis\"\n },\n {\n \"question_id\": \"64401\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64402\",\n \"answer\": \"Jack\"\n },\n {\n \"question_id\": \"64403\",\n \"answer\": \"It was covered with tall trees\"\n },\n {\n \"question_id\": \"64404\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64405\",\n \"answer\": \"three years\"\n },\n {\n \"question_id\": \"64406\",\n \"answer\": \"Crops\"\n },\n {\n \"question_id\": \"64407\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"64408\",\n \"answer\": \"An old man\"\n },\n {\n \"question_id\": \"64409\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"64410\",\n \"answer\": \"He disappeared\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Fanny the fly was hungry. She went to the store. She saw her friend Colin the cat at the store. Colin waved to Fanny. Fanny waved back. At the store, Fanny bought ice cream, fruit, and pasta. Then she went home. She looked in her fridge. In her fridge she saw meatballs, rice, tomato sauce, and garlic. She chose to make a pasta dinner and invite all of her friends over. She invited Colin the cat and Danny the dog. She also invited Freddy the frog and Allen the alligator. Everyone arrived to a beautiful meal made by Fanny. They all ate happily. After dinner, Fanny brought out dessert. She brought out pie, fruit, cupcakes, and ice cream. Everybody ate a cupcake. Danny ate ice cream too. Allen had some pie and fruit as well as the cupcake. Colin had some pie too. Fanny told everyone to come back for dinner again. They all said goodbye and left. Fanny was happy and full. She went to bed smiling to herself.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60187\": \"What kind of animal was Fanny?\"\n },\n {\n \"60188\": \"Where did she go?\"\n },\n {\n \"60189\": \"Who did she see at the store?\"\n },\n {\n \"60190\": \"Was Colin a cat?\"\n },\n {\n \"60191\": \"Did they wave to each other?\"\n },\n {\n \"60192\": \"What did Fanny buy?\"\n },\n {\n \"60193\": \"Where did she go after that?\"\n },\n {\n \"60194\": \"What did she see in her fridge?\"\n },\n {\n \"60195\": \"What did she decide to make for dinner?\"\n },\n {\n \"60196\": \"Was she going to invite anyone over for dinner?\"\n },\n {\n \"60197\": \"What were the names of the friends she invited?\"\n },\n {\n \"60198\": \"Were they happy to eat?\"\n },\n {\n \"60199\": \"Did Fanny bring out dessert?\"\n },\n {\n \"60200\": \"What did she bring out for dessert then?\"\n },\n {\n \"60201\": \"Who ate ice cream?\"\n },\n {\n \"60202\": \"Did everyone eat a cupcake?\"\n },\n {\n \"60203\": \"Did Fanny invite them back?\"\n },\n {\n \"60204\": \"Did everyone say goodbye?\"\n },\n {\n \"60205\": \"Who was happy and full?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60187\",\n \"answer\": \"a fly\"\n },\n {\n \"question_id\": \"60188\",\n \"answer\": \"to the store\"\n },\n {\n \"question_id\": \"60189\",\n \"answer\": \"her friend Colin\"\n },\n {\n \"question_id\": \"60190\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60191\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60192\",\n \"answer\": \"ice cream, fruit, and pasta\"\n },\n {\n \"question_id\": \"60193\",\n \"answer\": \"home\"\n },\n {\n \"question_id\": \"60194\",\n \"answer\": \"meatballs, rice, tomato sauce, and garlic\"\n },\n {\n \"question_id\": \"60195\",\n \"answer\": \"a pasta dinner\"\n },\n {\n \"question_id\": \"60196\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60197\",\n \"answer\": \"Colin, Danny, and Allen\"\n },\n {\n \"question_id\": \"60198\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60199\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60200\",\n \"answer\": \"pie, fruit, cupcakes, and ice cream\"\n },\n {\n \"question_id\": \"60201\",\n \"answer\": \"Danny\"\n },\n {\n \"question_id\": \"60202\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60203\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60204\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60205\",\n \"answer\": \"Fanny\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Louisville, Kentucky (CNN) -- A secret audio recording of their biggest election year target -- Sen. Mitch McConnell -- talking to a donor summit arranged by the Koch brothers, the Democrats' 2014 bogeymen. \n\nDemocrats pushed \"The Nation\" story around online with frenetic glee. \n\nMcConnell's Democratic challenger for his Kentucky seat, Alison Lundergan Grimes, couldn't wait to whack him on it, telling CNN in an exclusive interview that \"Mitch McConnell got caught in his 47% Mitt Romney moment.\" \n\n\"I think it shows the extent and the lengths he will go to to pander to his party millionaires and billionaires at the expense of hurting Kentuckians,\" Grimes told CNN. \n\nThe problem with the Democrats' argument is that Romney's 47% moment was only a moment because he was saying to donors in private something he would never have dared to utter in public: \n\n\"Forty-seven percent who are with him, who are dependent upon government, who believe that they are victims, who believe that government has a responsibility to care for them, who believe that they are entitled to health care, to food, to housing, to you name it. That that's an entitlement,\" Romney said behind closed doors about President Obama's supporters in 2012. \n\nBut unlike Romney, what McConnell said to the Koch brothers are things he has said in public, and more importantly, his comments mirror positions he has publicly backed with actual Senate votes: opposition to Democrats' plans to increase the minimum wage, extend unemployment insurance and make student loans more affordable through the tax system. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"48979\": \"Who are the Koch brothers?\"\n },\n {\n \"48980\": \"what did they arrange?\"\n },\n {\n \"48981\": \"For who?\"\n },\n {\n \"48982\": \"What came out of it?\"\n },\n {\n \"48983\": \"Who was McConnelll's challenger?\"\n },\n {\n \"48984\": \"who did she talk to\"\n },\n {\n \"48985\": \"What did she say?\"\n },\n {\n \"48986\": \"Was it the same?\"\n },\n {\n \"48987\": \"What state were they in?\"\n },\n {\n \"48988\": \"What was the story called?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"48979\",\n \"answer\": \"the Democrats' 2014 bogeymen\"\n },\n {\n \"question_id\": \"48980\",\n \"answer\": \"a donor summit\"\n },\n {\n \"question_id\": \"48981\",\n \"answer\": \"Sen. Mitch McConnell\"\n },\n {\n \"question_id\": \"48982\",\n \"answer\": \"a secret audio recording\"\n },\n {\n \"question_id\": \"48983\",\n \"answer\": \"Alison Lundergan Grimes\"\n },\n {\n \"question_id\": \"48984\",\n \"answer\": \"CNN\"\n },\n {\n \"question_id\": \"48985\",\n \"answer\": \"\\\"Mitch McConnell got caught in his 47% Mitt Romney moment.\\\"\"\n },\n {\n \"question_id\": \"48986\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"48987\",\n \"answer\": \"Kentucky\"\n },\n {\n \"question_id\": \"48988\",\n \"answer\": \"\\\"The Nation\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Martin Lynch, an American businessman, had been going on vacation to a small Mexican fishing village for a number of ears. One morning while going for a walk along the beach, he saw his friend Pablo Perez, a local fisherman. Martin watched Pablo _ his boat and pack the fish in a box. Martin noticed Pablo was smiling and looked very happy. He could also see several large fish in the boat. Martin greeted Pablo and asked how long it took to catch the fish. \"Just a few hours,\" replied Pablo. Martin asked, \"Why didn't you stay longer and catch more fish?\" \"I have enough for my family,\" Pablo said. \"And what do you do with the rest of your day?\" asked Martin. \"I take a nap, play with my children, spend time with my wife, and go into the village to see my friends and play cards, I have a full and busy life.\" Martin explained that if Pablo worked longer hours and caught more fish, he could make more money. With the extra money, Pablo could buy more boats and catch money more fish. By selling the fish, Pablo could open his own factory and sell direct to supermarkets. \"Then what?\" asked Pablo. \"Well you would probably have to move to Mexico City to run the business. Finally, you would be able to sell your business and make millions of dollars,\" replied Martin. \"How long will that take?\" asked Pablo. Martin thought for a while and said it would probably take at least 15 years. \"And then what\" asked Pablo. \"Well, that's the best part,\" Martin said. \"You will be able to retire, buy a house near the ocean, sleep longer, play with your children, spend more time with your wife, see your friends, and play cards.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"15723\": \"What's the story's main character's name?\"\n },\n {\n \"15724\": \"Where was he from?\"\n },\n {\n \"15725\": \"Where did he like to holiday?\"\n },\n {\n \"15726\": \"Did he have a friend there?\"\n },\n {\n \"15727\": \"What was his friend's name?\"\n },\n {\n \"15728\": \"What was Pablo's job?\"\n },\n {\n \"15729\": \"How did Pablo spend his free time?\"\n },\n {\n \"15730\": \"What does Martin advise him to do?\"\n },\n {\n \"15731\": \"Why does Martin think he should do that?\"\n },\n {\n \"15732\": \"What could he do with the money?\"\n },\n {\n \"15733\": \"What would happen next?\"\n },\n {\n \"15734\": \"Would Pablo be able to stay in the fishing village then?\"\n },\n {\n \"15735\": \"Where would he have to go?\"\n },\n {\n \"15736\": \"Why?\"\n },\n {\n \"15737\": \"How much could he sell the business for?\"\n },\n {\n \"15738\": \"How much time would pass before then?\"\n },\n {\n \"15739\": \"What could Pablo do after selling the business?\"\n },\n {\n \"15740\": \"How did Pablo look when Martin saw him?\"\n },\n {\n \"15741\": \"What was in the boat?\"\n },\n {\n \"15742\": \"How much time did he need to catch them?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"15723\",\n \"answer\": \"Martin Lynch\"\n },\n {\n \"question_id\": \"15724\",\n \"answer\": \"He is from America\"\n },\n {\n \"question_id\": \"15725\",\n \"answer\": \"a small Mexican fishing village\"\n },\n {\n \"question_id\": \"15726\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"15727\",\n \"answer\": \"Pablo Perez\"\n },\n {\n \"question_id\": \"15728\",\n \"answer\": \"a local fisherman\"\n },\n {\n \"question_id\": \"15729\",\n \"answer\": \"I take a nap, play with my children, spend time with my wife, and go into the village to see my friends and play cards\"\n },\n {\n \"question_id\": \"15730\",\n \"answer\": \"worked longer hours and caught more fish\"\n },\n {\n \"question_id\": \"15731\",\n \"answer\": \"he could make more money\"\n },\n {\n \"question_id\": \"15732\",\n \"answer\": \"Pablo could buy more boats and catch money more fish\"\n },\n {\n \"question_id\": \"15733\",\n \"answer\": \"By selling the fish, Pablo could open his own factory and sell direct to supermarkets\"\n },\n {\n \"question_id\": \"15734\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"15735\",\n \"answer\": \"Mexico City\"\n },\n {\n \"question_id\": \"15736\",\n \"answer\": \"run the business\"\n },\n {\n \"question_id\": \"15737\",\n \"answer\": \"millions of dollars\"\n },\n {\n \"question_id\": \"15738\",\n \"answer\": \"at least 15 years\"\n },\n {\n \"question_id\": \"15739\",\n \"answer\": \"You will be able to retire, buy a house near the ocean, sleep longer, play with your children, spend more time with your wife, see your friends, and play cards.\"\n },\n {\n \"question_id\": \"15740\",\n \"answer\": \"smiling and looked very happy\"\n },\n {\n \"question_id\": \"15741\",\n \"answer\": \"several large fish in the boat.\"\n },\n {\n \"question_id\": \"15742\",\n \"answer\": \"Just a few hours\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n An exhibition game (also known as a friendly, a scrimmage, a demonstration, a preseason game, a warmup match, or a preparation match, depending at least in part on the sport) is a sporting event whose prize money and impact on the player's or the team's rankings is either zero or otherwise greatly reduced. In team sports, matches of this type are often used to help coaches and managers select players for the competitive matches of a league season or tournament. If the players usually play in different teams in other leagues, exhibition games offer an opportunity for the players to learn to work with each other. The games can be held between separate teams or between parts of the same team. \n\nAn exhibition game may also be used to settle a challenge, to provide professional entertainment, to promote the sport, or to raise money for charities. Several sports leagues hold all-star games to showcase their best players against each other, while other exhibitions games may pit participants from two different leagues or countries to unofficially determine who would be the best in the world. International competitions like the Olympic Games may also hold exhibition games as part of a demonstration sport.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"9743\": \"What type of match-up can be used to resolve a challenge?\"\n },\n {\n \"9744\": \"Are these sometimes played before the start of a season?\"\n },\n {\n \"9745\": \"Are they known by many names?\"\n },\n {\n \"9746\": \"What does the name somewhat rely on?\"\n },\n {\n \"9747\": \"Does it effect a teams ranking?\"\n },\n {\n \"9748\": \"What can players learn during these games?\"\n },\n {\n \"9749\": \"What can it help coaches do?\"\n },\n {\n \"9750\": \"When do they play those?\"\n },\n {\n \"9751\": \"Is there money paid to the winners?\"\n },\n {\n \"9752\": \"Can one team play a game like this among themselves?\"\n },\n {\n \"9753\": \"Can charities make use of these?\"\n },\n {\n \"9754\": \"for what?\"\n },\n {\n \"9755\": \"Are they sometimes just for entertainment?\"\n },\n {\n \"9756\": \"What about just for promotion?\"\n },\n {\n \"9757\": \"What would they be promoting?\"\n },\n {\n \"9758\": \"Are there any international games that use them?\"\n },\n {\n \"9759\": \"Like what?\"\n },\n {\n \"9760\": \"What might they use them for?\"\n },\n {\n \"9761\": \"When was the first one played?\"\n },\n {\n \"9762\": \"Where did they come up with this name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"9743\",\n \"answer\": \"An exhibition game\"\n },\n {\n \"question_id\": \"9744\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9745\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9746\",\n \"answer\": \"On the sport\"\n },\n {\n \"question_id\": \"9747\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"9748\",\n \"answer\": \"How to work with each other\"\n },\n {\n \"question_id\": \"9749\",\n \"answer\": \"Select players for the competitive matches\"\n },\n {\n \"question_id\": \"9750\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"9751\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"9752\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9753\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9754\",\n \"answer\": \"To raise money\"\n },\n {\n \"question_id\": \"9755\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9756\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9757\",\n \"answer\": \"The sport\"\n },\n {\n \"question_id\": \"9758\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"9759\",\n \"answer\": \"The Olympic Games\"\n },\n {\n \"question_id\": \"9760\",\n \"answer\": \"As a demonstration sport.\"\n },\n {\n \"question_id\": \"9761\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"9762\",\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 As kids spend more time online chatting with friends or researching homework, parents are questioning how the Internet is affecting children's lives, a recent study shows. \n\nFrom 2006 to 2007, the number of parents who think the Internet beneficial to their children declined, according to the study by the Pew Internet & American Life Project. But parents don' t see it as a bad influence, either. \n\nAmanda Lenhart, a senior researcher said, \"Technology is not so magic as to make your child get straight A and improve all aspects of your life. As you grow to know it, you realize its power and disadvantages.\" \n\nBut as with the emergence of television in American homes in the 1950s and 1960s, the Internet continues to cause strong reactions from parents. \n\n\"There's too much garbage online for kids,\" said Patrick Thomas as he picked up his 15-year-old son from school. \"It's like a kid walking down the street. He's got to watch out. He never knows who he might come across.\" \n\nThomas used to have Internet service at home but got rid of it a year ago because he was worried about viruses infecting his computer and strangers taking advantage of his son Zachary. He has purchased a series of educational software to help him with his schoolwork. \n\n\"It was a great place to explore, and the information you gathered was great,\" Zachary said. \"Now it's dangerous.\" But Zachary Thomas still sees benefits from going online and says he can do it at the library or at school. \"It can be a good thing for kids,\" Zachary said. But he wasn't upset when his father pulled the plug . \n\nZachary's attitude to the Internet is in line with the study's findings, confirming that teens, who have never known a world without online access, generally have a more positive view of the Internet than their parents. \n\nMore parents are getting online themselves, making them know about their children's online activities, Lenhart said. \n\nBut that doesn't mean they understand everything. It also doesn't mean they needn't monitor the websites their children visit or set limits on the amount of time they spend online. \n\n\"I'm still trying to figure out the role of it,\" said John Horgan, whose daughters are 11, 12 and 15. \"If their grades were to go down, that would be it.\" \n\nThe majority of parents surveyed by the Pew Internet & American Life Project said the Internet is a positive influence in their children's lives.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97572\": \"how many kids does horgan have ?\"\n },\n {\n \"97573\": \"what is he trying to figure out ?\"\n },\n {\n \"97574\": \"who thinks the internet is a good thing ?\"\n },\n {\n \"97575\": \"what does a recent study says ?\"\n },\n {\n \"97576\": \"who conducted the study ?\"\n },\n {\n \"97577\": \"who is a senior researcher ?\"\n },\n {\n \"97578\": \"how many kids did patrick pick up ?\"\n },\n {\n \"97579\": \"is she a girl ?\"\n },\n {\n \"97580\": \"how old is he ?\"\n },\n {\n \"97581\": \"does he like the internet for kids ?\"\n },\n {\n \"97582\": \"what does he tink ?\"\n },\n {\n \"97583\": \"does he have internet ?\"\n },\n {\n \"97584\": \"for how many reasons ?\"\n },\n {\n \"97585\": \"name a reason\"\n },\n {\n \"97586\": \"who is getting onhline following the children ?\"\n },\n {\n \"97587\": \"who said that ?\"\n },\n {\n \"97588\": \"what happened in the 1950s and 1960 ?\"\n },\n {\n \"97589\": \"in asian homes ?\"\n },\n {\n \"97590\": \"in whos homes ?\"\n },\n {\n \"97591\": \"what kind of reaction did it cause ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97572\",\n \"answer\": \"Three\"\n },\n {\n \"question_id\": \"97573\",\n \"answer\": \"the role of it\"\n },\n {\n \"question_id\": \"97574\",\n \"answer\": \"majority of parents\"\n },\n {\n \"question_id\": \"97575\",\n \"answer\": \"parents are questioning how the Internet is affecting children's lives\"\n },\n {\n \"question_id\": \"97576\",\n \"answer\": \"Pew Internet & American Life\"\n },\n {\n \"question_id\": \"97577\",\n \"answer\": \"Amanda Lenhart\"\n },\n {\n \"question_id\": \"97578\",\n \"answer\": \"One\"\n },\n {\n \"question_id\": \"97579\",\n \"answer\": \"no.\"\n },\n {\n \"question_id\": \"97580\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"97581\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97582\",\n \"answer\": \"There's too much garbage online\"\n },\n {\n \"question_id\": \"97583\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97584\",\n \"answer\": \"Two\"\n },\n {\n \"question_id\": \"97585\",\n \"answer\": \"viruses\"\n },\n {\n \"question_id\": \"97586\",\n \"answer\": \"parents\"\n },\n {\n \"question_id\": \"97587\",\n \"answer\": \"Lenhart\"\n },\n {\n \"question_id\": \"97588\",\n \"answer\": \"emergence of television\"\n },\n {\n \"question_id\": \"97589\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"97590\",\n \"answer\": \"American\"\n },\n {\n \"question_id\": \"97591\",\n \"answer\": \"strong\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Florence is the capital city of the Italian region of Tuscany. It is the most populous city in Tuscany, with 383,083 inhabitants in 2013, and over 1,520,000 in its metropolitan area. \n\nFlorence was a centre of medieval European trade and finance and one of the wealthiest cities of that era. It is considered the birthplace of the Renaissance, and has been called \"the Athens of the Middle Ages\". A turbulent political history includes periods of rule by the powerful Medici family and numerous religious and republican revolutions. From 1865 to 1871 the city was the capital of the recently established Kingdom of Italy. The Florentine dialect forms the base of Standard Italian and it became the language of culture throughout Italy due to the prestige of the masterpieces by Dante Alighieri, Petrarch, Giovanni Boccaccio, Niccolò Machiavelli and Francesco Guicciardini. \n\nThe city attracts millions of tourists each year, and the Historic Centre of Florence was declared a World Heritage Site by UNESCO in 1982. The city is noted for its culture, Renaissance art and architecture and monuments. The city also contains numerous museums and art galleries, such as the Uffizi Gallery and the Palazzo Pitti, and still exerts an influence in the fields of art, culture and politics. Due to Florence's artistic and architectural heritage, it has been ranked by \"Forbes\" as one of the most beautiful cities in the world.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"70390\": \"What is the capital of Tuscany?\"\n },\n {\n \"70391\": \"Is it also Tuscany's most populous city?\"\n },\n {\n \"70392\": \"With how many residents in 2013?\"\n },\n {\n \"70393\": \"How many in its surrounding metropolis?\"\n },\n {\n \"70394\": \"It was considered the birthplace of what?\"\n },\n {\n \"70395\": \"What nickname has it been coined?\"\n },\n {\n \"70396\": \"Was it historically a poor city?\"\n },\n {\n \"70397\": \"Which powerful family once ruled the area?\"\n },\n {\n \"70398\": \"What area was declared a World Heritage Site?\"\n },\n {\n \"70399\": \"When?\"\n },\n {\n \"70400\": \"What language does the area speak?\"\n },\n {\n \"70401\": \"Why did this become the default language?\"\n },\n {\n \"70402\": \"What does the city still influence to this day?\"\n },\n {\n \"70403\": \"What did \\\"Forbes\\\" rank it as?\"\n },\n {\n \"70404\": \"Due to what?\"\n },\n {\n \"70405\": \"What famous galleries are located there?\"\n },\n {\n \"70406\": \"How many tourists visit the area yearly?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"70390\",\n \"answer\": \"Florence\"\n },\n {\n \"question_id\": \"70391\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"70392\",\n \"answer\": \"383,083\"\n },\n {\n \"question_id\": \"70393\",\n \"answer\": \"over 1,520,000\"\n },\n {\n \"question_id\": \"70394\",\n \"answer\": \"birthplace of the Renaissance\"\n },\n {\n \"question_id\": \"70395\",\n \"answer\": \"\\\"the Athens of the Middle Ages\\\"\"\n },\n {\n \"question_id\": \"70396\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"70397\",\n \"answer\": \"the Medici family\"\n },\n {\n \"question_id\": \"70398\",\n \"answer\": \"Historic Centre of Florence\"\n },\n {\n \"question_id\": \"70399\",\n \"answer\": \"in 1982\"\n },\n {\n \"question_id\": \"70400\",\n \"answer\": \"Standard Italian\"\n },\n {\n \"question_id\": \"70401\",\n \"answer\": \"due to the prestige of the masterpieces by Dante Alighieri, Petrarch, Giovanni Boccaccio, Niccol\\u00f2 Machiavelli and Francesco Guicciardini.\"\n },\n {\n \"question_id\": \"70402\",\n \"answer\": \"The city is noted for its culture\"\n },\n {\n \"question_id\": \"70403\",\n \"answer\": \"one of the most beautiful cities in the world.\"\n },\n {\n \"question_id\": \"70404\",\n \"answer\": \"Due to Florence's artistic and architectural heritage\"\n },\n {\n \"question_id\": \"70405\",\n \"answer\": \"the Uffizi Gallery and the Palazzo Pitti,\"\n },\n {\n \"question_id\": \"70406\",\n \"answer\": \"millions\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Bill dug a small hole and placed the seed inside. Then, he covered up the hole with dirt, and poured some water on it. It was such a small seed, and it was hard to believe that it would turn into a giant pumpkin. \n\nEvery day, Bill went out to the garden to check on the seed. Some days, if the ground was dry, he poured more water on it. After a few days, a tiny green plant started coming out of the ground. Bill kept checking every day, and the plant kept getting bigger and bigger. \n\nSoon, there were tiny leaves on the plant. As the summer went on, the whole plant kept getting bigger and bigger. Soon, he could see tiny fruits starting to grow. They kept getting bigger and bigger. Eventually, he could tell that they were pumpkins! \n\nThat fall, the pumpkins were really big. Bill picked the biggest one and brought it to the fair. He got a blue ribbon for the biggest pumpkin! \n\nBill's parents had other plants in their garden. They had strawberries, tomatoes, cucumbers, and many other fruits and vegetables. But they all started as tiny seeds.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"31826\": \"Who did some planting?\"\n },\n {\n \"31827\": \"What was his first step?\"\n },\n {\n \"31828\": \"What did he put in there?\"\n },\n {\n \"31829\": \"What kind of seed was it?\"\n },\n {\n \"31830\": \"What did he hope for?\"\n },\n {\n \"31831\": \"Did he forget about his seed after he planted it?\"\n },\n {\n \"31832\": \"What did he do with it then?\"\n },\n {\n \"31833\": \"Anything else?\"\n },\n {\n \"31834\": \"Did the seed die out?\"\n },\n {\n \"31835\": \"What did it grow into?\"\n },\n {\n \"31836\": \"What kind of plant?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"31826\",\n \"answer\": \"Bill.\"\n },\n {\n \"question_id\": \"31827\",\n \"answer\": \"Digging a hole.\"\n },\n {\n \"question_id\": \"31828\",\n \"answer\": \"The seed.\"\n },\n {\n \"question_id\": \"31829\",\n \"answer\": \"Pumpkin.\"\n },\n {\n \"question_id\": \"31830\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"31831\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"31832\",\n \"answer\": \"Check on the seed.\"\n },\n {\n \"question_id\": \"31833\",\n \"answer\": \"Some days, if the ground was dry, he poured more water on it.\"\n },\n {\n \"question_id\": \"31834\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"31835\",\n \"answer\": \"A plant.\"\n },\n {\n \"question_id\": \"31836\",\n \"answer\": \"A pumpkin plant.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XXV. \n\nMISS AMEDROZ HAS SOME HASHED CHICKEN. \n\nClara felt herself to be a coward as the Aylmer Park carriage, which had been sent to meet her at the station, was drawn up at Sir Anthony Aylmer's door. She had made up her mind that she would not bow down to Lady Aylmer, and yet she was afraid of the woman. As she got out of the carriage, she looked up, expecting to see her in the hall; but Lady Aylmer was too accurately acquainted with the weights and measures of society for any such movement as that. Had her son brought Lady Emily to the house as his future bride, Lady Aylmer would probably have been in the hall when the arrival took place; and had Clara possessed ten thousand pounds of her own, she would probably have been met at the drawing-room door; but as she had neither money nor title,--as she in fact brought with her no advantages of any sort, Lady Aylmer was found stitching a bit of worsted, as though she had expected no one to come to her. And Belinda Aylmer was stitching also,--by special order from her mother. The reader will remember that Lady Aylmer was not without strong hope that the engagement might even yet be broken off. Snubbing, she thought, might probably be efficacious to this purpose, and so Clara was to be snubbed. \n\nClara, who had just promised to do her best to gain Lady Aylmer's opinion, and who desired to be in some way true to her promise, though she thoroughly believed that her labour would be in vain, put on her pleasantest smile as she entered the room. Belinda, under the pressure of the circumstances, forgetting somewhat of her mother's injunctions, hurried to the door to welcome the stranger. Lady Aylmer kept her chair, and even maintained her stitch, till Clara was half across the room. Then she got up, and, with great mastery over her voice, made her little speech. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"55183\": \"What did Clara feel like?\"\n },\n {\n \"55184\": \"Was she planning to bow down to Lady Aylmer?\"\n },\n {\n \"55185\": \"How did she feel about her?\"\n },\n {\n \"55186\": \"How did Clara arrive there?\"\n },\n {\n \"55187\": \"How much would Clara need to be met at the drawing room door?\"\n },\n {\n \"55188\": \"Was Clara rich?\"\n },\n {\n \"55189\": \"Did she have a title?\"\n },\n {\n \"55190\": \"What was Lady Alymer doing?\"\n },\n {\n \"55191\": \"Was she alone?\"\n },\n {\n \"55192\": \"Who was with her?\"\n },\n {\n \"55193\": \"what was she doing?\"\n },\n {\n \"55194\": \"What was Clara hoping to do?\"\n },\n {\n \"55195\": \"Who rushed to the door?\"\n },\n {\n \"55196\": \"Did Lady Alymer ever rise?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"55183\",\n \"answer\": \"a coward\"\n },\n {\n \"question_id\": \"55184\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55185\",\n \"answer\": \"afraid of her\"\n },\n {\n \"question_id\": \"55186\",\n \"answer\": \"on the Aylmer Park carriage\"\n },\n {\n \"question_id\": \"55187\",\n \"answer\": \"ten thousand pounds\"\n },\n {\n \"question_id\": \"55188\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55189\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55190\",\n \"answer\": \"stitching a bit of worsted\"\n },\n {\n \"question_id\": \"55191\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"55192\",\n \"answer\": \"Belinda Aylmer\"\n },\n {\n \"question_id\": \"55193\",\n \"answer\": \"stitching\"\n },\n {\n \"question_id\": \"55194\",\n \"answer\": \"that the engagement might be broke off.\"\n },\n {\n \"question_id\": \"55195\",\n \"answer\": \"Belinda\"\n },\n {\n \"question_id\": \"55196\",\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 It had been some time since Jack had seen the old man.Over the phone ,his mother told him,\"Mr.Belser died last night ,The funeral is Wednesday.\"Memories flashed through his mind like an old newsreel as he sat quietly remembering his childhood days. \n\nWhen Jack was very young ,his father died.Mr Belser,who lived in the same neighborhood with them,spent as much time as he could to make sure Jack had a man's influence in his life.He spent a lot of time teachimg Jack he thought what was important in his following life.If Mr.Belser hadn' taught him how to weave,he wouldn't be in this business now.So he promised his mother he would attend Mr.Belser's funeral. \n\n\"You'd better not drive your car.It's a long way.\"his mother warned him. \n\nBusy as he was,he kept his word.Though tired from the earliest flight,Jack tried his best to help.Mr.Belser's funeral was small because he had no children of his own and most of his s had passed away. \n\nThe night before he had to return home,Jack and his mother stopped by to see the old house Mr.Belser once lived.Now it belonged to him.He bought the house from one of his s. \n\nThe house was exactly as he remembered.Every step held memories.Every picture,every piece of furniture... Jadk stopped suddenly. \n\nThe box on his desk was gone!He once asked the old man what was inside.He just smiled and said it was the most valuable thing to him,though it almost cost nothing to others.He figured that someone from the Belser family had taken it .\"I will never know what was so valuable to him.\"Jack thought disappotntedly. \n\nThree days later returning home from work,Jack discovered a small package in his mailbox. \n\nThe handwriting was difficult to read,but the return address caught his attention.\"Mr.Harold Belser\"it read. \n\nJack couldn't wait to open it .Inside lay the familiar small box.His heart racing,Jack unlocked the box.Inside he found a gold pocket watch with these words engraved:\"Jack,Thanks for your time!Harold Belser.\" \n\n\"The thing he valued most was my time.\"Jack held the watch before his chest,tears filling his eyes.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"81243\": \"What did the memories of belser flash through his mind like?\"\n },\n {\n \"81244\": \"Had it been a while since he Jack had seen him?\"\n },\n {\n \"81245\": \"What did he teach jack?\"\n },\n {\n \"81246\": \"Was Belser's funeral larger?\"\n },\n {\n \"81247\": \"Who stopped by belsers old house with jack?\"\n },\n {\n \"81248\": \"Was the house different than he remembered?\"\n },\n {\n \"81249\": \"What did Jack receive in the box he got that return address was Mr, Harold Belser?\"\n },\n {\n \"81250\": \"What was a skill Belser taught him that causes him to be in buisness now?\"\n },\n {\n \"81251\": \"Who did Jack think took the box that was normally on Belser's desk?\"\n },\n {\n \"81252\": \"What did his mother warn him about driving?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"81243\",\n \"answer\": \"an old newsreel\"\n },\n {\n \"question_id\": \"81244\",\n \"answer\": \"it had been some time since Jack had seen the old man\"\n },\n {\n \"question_id\": \"81245\",\n \"answer\": \"what was important in his following life.\"\n },\n {\n \"question_id\": \"81246\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81247\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"81248\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"81249\",\n \"answer\": \"a gold pocket watch with these words engraved:\\\"Jack,Thanks for your time!Harold Belser.\\\"\"\n },\n {\n \"question_id\": \"81250\",\n \"answer\": \"taught him how to weave\"\n },\n {\n \"question_id\": \"81251\",\n \"answer\": \"someone from the Belser family had taken it\"\n },\n {\n \"question_id\": \"81252\",\n \"answer\": \"\\\"You'd better not drive your car.It's a long way.\\\"\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Czech (/ˈtʃɛk/; čeština Czech pronunciation: [ˈt͡ʃɛʃcɪna]), formerly known as Bohemian (/boʊˈhiːmiən, bə-/; lingua Bohemica in Latin), is a West Slavic language strongly influenced by Latin and German language, spoken by over 10 million people and it is the official language of the Czech Republic. Czech's closest relative is Slovak, with which it is mutually intelligible. It is closely related to other West Slavic languages, such as Silesian and Polish. Although most Czech vocabulary is based on shared roots with Slavic, Romance, and Germanic languages, many loanwords (most associated with high culture) have been adopted in recent years. \n\nThe languages have not undergone the deliberate highlighting of minor linguistic differences in the name of nationalism as has occurred in the Bosnian, Serbian and Croatian standards of Serbo-Croatian. However, most Slavic languages (including Czech) have been distanced in this way from Russian influences because of widespread public resentment against the former Soviet Union (which occupied Czechoslovakia in 1968). Czech and Slovak form a dialect continuum, with great similarity between neighboring Czech and Slovak dialects. (See \"Dialects\" below.)\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72353\": \"What was Czech language known as before?\"\n },\n {\n \"72354\": \"Is there a good reputation related to Czech?\"\n },\n {\n \"72355\": \"Why?\"\n },\n {\n \"72356\": \"What roots does the language share?\"\n },\n {\n \"72357\": \"Any other languages contribute to it?\"\n },\n {\n \"72358\": \"Has the language had any changes?\"\n },\n {\n \"72359\": \"How many people speak this language?\"\n },\n {\n \"72360\": \"Is it an official language for anyone?\"\n },\n {\n \"72361\": \"Who?\"\n },\n {\n \"72362\": \"Other languages it's related to?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72353\",\n \"answer\": \"Czech (/\\u02c8t\\u0283\\u025bk/; \\u010de\\u0161tina Czech pronunciation: [\\u02c8t\\u0361\\u0283\\u025b\\u0283c\\u026ana]), formerly known as Bohemian\"\n },\n {\n \"question_id\": \"72354\",\n \"answer\": \"However, most Slavic languages (including Czech) have been distanced in this way from Russian influences because of widespread public resentment against the former Soviet Union (which occupied Czechoslovakia\"\n },\n {\n \"question_id\": \"72355\",\n \"answer\": \"widespread public resentment against the former Soviet Union\"\n },\n {\n \"question_id\": \"72356\",\n \"answer\": \"Although most Czech vocabulary is based on shared roots with Slavic, Romance, and Germanic\"\n },\n {\n \"question_id\": \"72357\",\n \"answer\": \"It is closely related to other West Slavic languages, such as Silesian and Polish.\"\n },\n {\n \"question_id\": \"72358\",\n \"answer\": \"The languages have not undergone the deliberate highlighting of minor linguistic differences in the name of nationalism as has occurred in\"\n },\n {\n \"question_id\": \"72359\",\n \"answer\": \"over 10 million people\"\n },\n {\n \"question_id\": \"72360\",\n \"answer\": \"it is the official language of the Czech Republic\"\n },\n {\n \"question_id\": \"72361\",\n \"answer\": \"the official language of the Czech Republic.\"\n },\n {\n \"question_id\": \"72362\",\n \"answer\": \"Latin and German\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n One day, a boy named Sam went to the doctor because he fell and hurt his knee. He was riding his green tricycle in the yard when it happened. He played with yellow and red blocks in the waiting room before his visit with the doctor. His mother was sitting in a chair, reading a magazine and talking to other mothers sitting around her. The friendly nurse called Sam from the waiting room to finally visit the doctor. The nurse weighed Sam, measured his height, and asked him questions about the foods he had eaten that day. The nurse also took his temperature to make sure that he did not have a fever. After the nurse left the room, the doctor came in and asked Sam about his knee. Sam told the doctor all about his fall off the tricycle and the doctor wrote a lot of notes down. Doctors write a lot of notes so they can tell people like Sam more about their accidents. The doctor said, \"Wow Sam! It sounds like you had quite a fall.\" The doctor put a bandage on his knee and gave him some medicine to take once he got home. On the way out of the doctor's office, Sam took a purple lollipop to eat on the car ride home. Sam's mom drove him back home, telling him to be careful for the next time that he plays outside. Sam's mom really cared about him and didn't like to see him get hurt.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33197\": \"Who went to the doctor?\"\n },\n {\n \"33198\": \"Why?\"\n },\n {\n \"33199\": \"How did he do it?\"\n },\n {\n \"33200\": \"Where?\"\n },\n {\n \"33201\": \"What did he play with in the waiting room?\"\n },\n {\n \"33202\": \"Where was his mother sitting?\"\n },\n {\n \"33203\": \"What was she doing?\"\n },\n {\n \"33204\": \"Anything else?\"\n },\n {\n \"33205\": \"Were the other mothers sitting?\"\n },\n {\n \"33206\": \"Who called him from the waiting room?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33197\",\n \"answer\": \"Sam\"\n },\n {\n \"question_id\": \"33198\",\n \"answer\": \"he fell and hurt his knee\"\n },\n {\n \"question_id\": \"33199\",\n \"answer\": \"He was riding his green tricycle\"\n },\n {\n \"question_id\": \"33200\",\n \"answer\": \"in the yard\"\n },\n {\n \"question_id\": \"33201\",\n \"answer\": \"yellow and red blocks\"\n },\n {\n \"question_id\": \"33202\",\n \"answer\": \"a chair\"\n },\n {\n \"question_id\": \"33203\",\n \"answer\": \"reading a magazine\"\n },\n {\n \"question_id\": \"33204\",\n \"answer\": \"talking to other mothers\"\n },\n {\n \"question_id\": \"33205\",\n \"answer\": \"around her\"\n },\n {\n \"question_id\": \"33206\",\n \"answer\": \"The friendly nurse\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Donald was shaken by thunder on the bed before he could count \"one thousand one\". Then he heard the smoke alarm go off. He went downstairs quickly to investigate. When he opened the door to the basement , flames exploded out. \n\nDonald fled back upstairs to call 911 but the phone didn't work. When he tried to go downstairs, he was stopped by a wall of flames. He had to use a towel to cover his mouth. His house was three miles off the main road and so well hidden by trees that Donald knew calling for help would be useless. Actually, he didn't even try to do that. \n\nAbout one mile away lived Donald's closest neighbor, Jeremie. When he heard some sounds, Jeremie jumped out of bed, holding a phone and a flashlight, and went towards the noise. He dialed 911 the instant he saw the flames. When he came close to the house, Jeremie knew he'd better wait until rescuers came. But he didn't want Donald to die in the fire. \n\nWithout hesitation , he rushed into the house. He shouted, \"Donald, where are you?\" Then he had to run outside to catch his breath. After one more attempt , he gave up and circled around back. He saw Donald on the second-floor balcony, but there was no way to get to him. Suddenly, he noticed a ladder. He dragged it over to the balcony and pulled Donald down just when the second floor fell down. \n\nWithin the year, Donald built a new two-story wood house at the site of the fire. Jeremie and Donald don't run into each other regularly, but Donald knows that if he ever needs help, Jeremie will be there.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93661\": \"Who was Donald's nearest neighbor?\"\n },\n {\n \"93662\": \"What did Jeremie do after hearing the noises?\"\n },\n {\n \"93663\": \"Who did he call?\"\n },\n {\n \"93664\": \"Why didn't he want to wait?\"\n },\n {\n \"93665\": \"Did he stay outside?\"\n },\n {\n \"93666\": \"What did he do?\"\n },\n {\n \"93667\": \"Did he yell to Donald?\"\n },\n {\n \"93668\": \"How was he able to pull him down?\"\n },\n {\n \"93669\": \"What woke up Donald before the smoke alarm?\"\n },\n {\n \"93670\": \"Did he go back to sleep?\"\n },\n {\n \"93671\": \"Where did he go?\"\n },\n {\n \"93672\": \"What did he find?\"\n },\n {\n \"93673\": \"Did he try calling 911?\"\n },\n {\n \"93674\": \"Did he try yelling for help?\"\n },\n {\n \"93675\": \"why not?\"\n },\n {\n \"93676\": \"What did he use over his mouth?\"\n },\n {\n \"93677\": \"Who did call 911?\"\n },\n {\n \"93678\": \"After the incident, did the 2 neighbors see each other a lot?\"\n },\n {\n \"93679\": \"Where did Donald live after the fire?\"\n },\n {\n \"93680\": \"What did he know about Jeremie?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93661\",\n \"answer\": \"Jeremie\"\n },\n {\n \"question_id\": \"93662\",\n \"answer\": \"jumped out of bed, holding a phone and a flashlight, and went towards the noise\"\n },\n {\n \"question_id\": \"93663\",\n \"answer\": \"911\"\n },\n {\n \"question_id\": \"93664\",\n \"answer\": \"he didn't want Donald to die in the fire\"\n },\n {\n \"question_id\": \"93665\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93666\",\n \"answer\": \"he rushed into the house\"\n },\n {\n \"question_id\": \"93667\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93668\",\n \"answer\": \"he dragge over a ladder to the balcony\"\n },\n {\n \"question_id\": \"93669\",\n \"answer\": \"thunder on the bed\"\n },\n {\n \"question_id\": \"93670\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93671\",\n \"answer\": \"downstairs\"\n },\n {\n \"question_id\": \"93672\",\n \"answer\": \"flames exploding out the door\"\n },\n {\n \"question_id\": \"93673\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"93674\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93675\",\n \"answer\": \"his house was three miles off the main road\"\n },\n {\n \"question_id\": \"93676\",\n \"answer\": \"a towel\"\n },\n {\n \"question_id\": \"93677\",\n \"answer\": \"Jeremie\"\n },\n {\n \"question_id\": \"93678\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93679\",\n \"answer\": \"a new two-story wood house\"\n },\n {\n \"question_id\": \"93680\",\n \"answer\": \"Jeremie will be there\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 4: Among The Islands. \n\n\"Now, let us go through our calculations again,\" the captain said when they entered his cabin. \n\n\"How long will you be, Captain?\" the first mate asked. \n\n\"Half an hour, Standing.\" \n\n\"Then I will come again or, if you want me before that, send for me,\" and the first mate went out on deck again, for though well skilled to handle a ship in all weathers, and as brave and hardy a seaman as sailed out of Plymouth, James Standing could neither read nor write; and though in a rough sort of way he could reckon the course a ship should lie, and make allowance for leeway and currents and baffling winds, and could bring a ship into any port in England or the Low Countries, he was of no use in a matter of this kind. \n\nPengarvan was a good scholar, and Reuben had taught him what he knew of navigation, and always made him keep a log from the time when he first became a mate; at first comparing their calculations every day, and then but once a week; arguing over the allowances each had made for tide and leeway; and sometimes finding to his surprise, on arriving in port, that Pengarvan's calculations were even nearer to the truth than his own. \n\nThis was a great satisfaction to him, for he felt that, if aught should happen to himself when on a voyage, Pengarvan could be trusted to bring the Swan home, as safely and surely as he could himself. Roger had, for the last two years, been going through the same schooling; but as yet he was very far from attaining accuracy, being unwilling to make sufficient allowance for the great leeway that a vessel, in those days, made with the wind abeam. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"90114\": \"Where are they?\"\n },\n {\n \"90115\": \"Where are they holding their conversation?\"\n },\n {\n \"90116\": \"Does the conversation take place on land?\"\n },\n {\n \"90117\": \"Where are they?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"90114\",\n \"answer\": \"England\"\n },\n {\n \"question_id\": \"90115\",\n \"answer\": \"Plymouth\"\n },\n {\n \"question_id\": \"90116\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"90117\",\n \"answer\": \"Cabin of a ship\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Christianity, an archbishop (, via Latin \"archiepiscopus\", from Greek , from -, \"chief\", and , \"bishop\") is a bishop of higher rank or office. In some cases, like the Lutheran Church of Sweden, it is the denomination leader title. Like popes, patriarchs, metropolitans, cardinal bishops, diocesan bishops, and suffragan bishops, archbishops are in the highest of the three traditional orders of bishops, priests, also called presbyters, and deacons. An archbishop may be granted the title, or ordained as chief pastor of a metropolitan see or another episcopal see to which the title of archbishop is attached. \n\nEpiscopal sees are generally arranged in groups in which the bishop who is the ordinary of one of them has certain powers and duties of oversight over the other sees. He is known as the metropolitan archbishop of that see. In the Roman Catholic Church, canon 436 of the Code of Canon Law indicates what these powers and duties are for a Latin Rite metropolitan archbishop, while those of the head of an autonomous (\"sui iuris\") Eastern Catholic Church are indicated in canon 157 of the Code of Canons of the Eastern Churches. \n\nAs well as the much more numerous metropolitan sees, there are 77 Roman Catholic sees that have archiepiscopal rank. In some cases, such a see is the only one in a country, such as Luxembourg or Monaco, too small to be divided into several dioceses so as to form an ecclesiastical province. In others, the title of archdiocese is for historical reasons attributed to a see that was once of greater importance.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44144\": \"What is the highest of the bishops?\"\n },\n {\n \"44145\": \"What religion has a see?\"\n },\n {\n \"44146\": \"How many of those have an archiepiscopical rank?\"\n },\n {\n \"44147\": \"Where is one country where there is only one see?\"\n },\n {\n \"44148\": \"What is another?\"\n },\n {\n \"44149\": \"Why are there only one there?\"\n },\n {\n \"44150\": \"Who is normally in charge of a see?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44144\",\n \"answer\": \"archbishop\"\n },\n {\n \"question_id\": \"44145\",\n \"answer\": \"the Roman Catholic Church\"\n },\n {\n \"question_id\": \"44146\",\n \"answer\": \"77\"\n },\n {\n \"question_id\": \"44147\",\n \"answer\": \"Luxembourg\"\n },\n {\n \"question_id\": \"44148\",\n \"answer\": \"Luxembourg\"\n },\n {\n \"question_id\": \"44149\",\n \"answer\": \"too small to be divided into several dioceses\"\n },\n {\n \"question_id\": \"44150\",\n \"answer\": \"bishop\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Rev. Fred Shuttlesworth, who helped lead the civil rights movement, has died, the Birmingham Civil Rights Institute said Wednesday. He was 89. \n\nShuttlesworth is among the iconic figures honored in the International Civil Rights Walk of Fame at the Martin Luther King Jr. National Historic Site in Atlanta. King once called Shuttlesworth \"the most courageous civil rights fighter in the South.\" \n\nPresident Barack Obama issued a statement honoring Shuttleworth, saying he \"dedicated his life to advancing the cause of justice for all Americans. He was a testament to the strength of the human spirit. And today we stand on his shoulders, and the shoulders of all those who marched and sat and lifted their voices to help perfect our union. ... \n\n\"America owes Reverend Shuttlesworth a debt of gratitude, and our thoughts and prayers are with his wife, Sephira, and their family, friends and loved ones.\" \n\nWhen the U.S. Supreme Court ruled against segregated busing in Montgomery, Alabama, Shuttlesworth rallied the membership of a group he established in May 1956 -- the Alabama Christian Movement for Human Rights -- to challenge the practice of segregated busing in Birmingham. \n\nShuttlesworth also helped found the Southern Christian Leadership Conference, with King and other civil rights leaders. \n\nShuttlesworth's efforts weren't without a price: his home was bombed on Christmas Day in 1956, but he and his family were not injured. \n\nHe was, however, hurt in 1957 when he was beaten with chains and whips as he sought to integrate an all-white public school. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"59595\": \"who issued a statement honoring Shuttleworth?\"\n },\n {\n \"59596\": \"When was Shuttlesworth hurt?\"\n },\n {\n \"59597\": \"How was he hurt?\"\n },\n {\n \"59598\": \"Why was he beaten?\"\n },\n {\n \"59599\": \"Who is Fred Shuttlesworth?\"\n },\n {\n \"59600\": \"Did Obama say America owes Shuttlesworth a debt of gratitude?\"\n },\n {\n \"59601\": \"Is Shuttlesworth still alive?\"\n },\n {\n \"59602\": \"How old was he when he died?\"\n },\n {\n \"59603\": \"Who announced his death?\"\n },\n {\n \"59604\": \"When did make his group?\"\n },\n {\n \"59605\": \"What was his group called?\"\n },\n {\n \"59606\": \"What was their goal?\"\n },\n {\n \"59607\": \"Did something bad happen to his home?\"\n },\n {\n \"59608\": \"what happened to his home?\"\n },\n {\n \"59609\": \"When was his home bombed?\"\n },\n {\n \"59610\": \"What year was his home bombed?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"59595\",\n \"answer\": \"Barack Obama\"\n },\n {\n \"question_id\": \"59596\",\n \"answer\": \"in 1957\"\n },\n {\n \"question_id\": \"59597\",\n \"answer\": \"he was beaten with chains and whips\"\n },\n {\n \"question_id\": \"59598\",\n \"answer\": \"he sought to integrate an all-white public school.\"\n },\n {\n \"question_id\": \"59599\",\n \"answer\": \"A Reverend who helped lead the civil rights movement\"\n },\n {\n \"question_id\": \"59600\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59601\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"59602\",\n \"answer\": \"89\"\n },\n {\n \"question_id\": \"59603\",\n \"answer\": \"Birmingham Civil Rights Institute\"\n },\n {\n \"question_id\": \"59604\",\n \"answer\": \"May 1956\"\n },\n {\n \"question_id\": \"59605\",\n \"answer\": \"the Alabama Christian Movement for Human Rights\"\n },\n {\n \"question_id\": \"59606\",\n \"answer\": \"to challenge the practice of segregated busing in Birmingham.\"\n },\n {\n \"question_id\": \"59607\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"59608\",\n \"answer\": \"it was bombed\"\n },\n {\n \"question_id\": \"59609\",\n \"answer\": \"his home was bombed on Christmas Day\"\n },\n {\n \"question_id\": \"59610\",\n \"answer\": \"1956\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n \"Lizzie, there's a letter for you!\" Emily called up the stairs to her sister. Elizabeth looked down. \"Is it from Harvard? They refused my application once.\" Emily answered, \"No, it's from Yale.\" Quickly, Elizabeth walked downstairs. She took the letter and opened it. \"Rejected again,\" Elizabeth said unhappily. \"Who says women can't be doctors?\" \n\n\"They are fools not to accept you. You can't let them stop you, Lizzie,\" Emily said. \n\n\"I won't. I'll apply to Geneva Medical College,\" Elizabeth told her sister. As it turned out, the professors at Geneva Medical College were not fools. They allowed Elizabeth Blackwell to study medicine. \n\nIn 1848, a year before Elizabeth would graduate, a typhoid epidemic broke out in New York. Elizabeth wrote to Emily. \"There's an outbreak of typhoid, and I am going to help. It is dangerous, so if I should not survive, please do me the honor of studying medicine yourself.\" \n\nEmily replied, \"Encouraged by your dream and success, I have decided to study in medical school, as well.\" \n\nHaving survived the disease, Elizabeth tried to set up a private medical practice. \"I graduated first in my class but no one believes a woman can be a good doctor,\" she said to Emily one day. \"All I hear is that doctors should be men, while women should stay home to cook and clean.\" \n\nEmily said worriedly, \"I will graduate in June with my medical degree. What shall we do?\" Elizabeth thought for a while and replied, \"There's a big house in the poor part of our town. We can practice medicine there for people who couldn't afford care.\" \n\nSoon with the help of some friends, Elizabeth and Emily bought the house and opened a hospital for poor women and children. \"We'll have an all-women staff ,\" Elizabeth said. \"And later, we'll add a medical college for women!\" Emily added. At last, Elizabeth realized her dream of being a doctor.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82774\": \"Was the goal to become a nurse?\"\n },\n {\n \"82775\": \"What was it then?\"\n },\n {\n \"82776\": \"Who's dream was it?\"\n },\n {\n \"82777\": \"and did she encourage another to follow in her footsteps?\"\n },\n {\n \"82778\": \"Who?\"\n },\n {\n \"82779\": \"What was their relationship?\"\n },\n {\n \"82780\": \"What was the illness that was widespread?\"\n },\n {\n \"82781\": \"Did either of them contract it?\"\n },\n {\n \"82782\": \"Who was the letter from?\"\n },\n {\n \"82783\": \"Was it a correspondence of acceptance?\"\n },\n {\n \"82784\": \"Where did she eventually attend?\"\n },\n {\n \"82785\": \"In that era what were females expected to do?\"\n },\n {\n \"82786\": \"When was the sister to graduate from university?\"\n },\n {\n \"82787\": \"What was the plan to practice as in what people?\"\n },\n {\n \"82788\": \"was their building in the ritzy part of town?\"\n },\n {\n \"82789\": \"where was it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82774\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82775\",\n \"answer\": \"doctor\"\n },\n {\n \"question_id\": \"82776\",\n \"answer\": \"Elizabeth\"\n },\n {\n \"question_id\": \"82777\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82778\",\n \"answer\": \"Emily\"\n },\n {\n \"question_id\": \"82779\",\n \"answer\": \"sisters\"\n },\n {\n \"question_id\": \"82780\",\n \"answer\": \"typhoid\"\n },\n {\n \"question_id\": \"82781\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82782\",\n \"answer\": \"Yale.\"\n },\n {\n \"question_id\": \"82783\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82784\",\n \"answer\": \"Geneva Medical College\"\n },\n {\n \"question_id\": \"82785\",\n \"answer\": \"cook and clean\"\n },\n {\n \"question_id\": \"82786\",\n \"answer\": \"in June\"\n },\n {\n \"question_id\": \"82787\",\n \"answer\": \"poor women and children.\"\n },\n {\n \"question_id\": \"82788\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"82789\",\n \"answer\": \"in the poor part of our town\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n LONDON, England (CNN) -- It was Anabella De León's frail 86-year-old mother who answered the door when the men came knocking. \"They told her, 'say to Anabella that we are going to kill her very soon,'\" De León told CNN. The visit left her mother crying, anxious and shocked. \n\nCongresswoman Anabella de Leon with her husband in London for a performance of \"Seven\" by Vital Voices. \n\nThat was four months ago. No attempt on her life has been made, De León said, but she still looks over her shoulder, takes alternative routes in her car, constantly checking that she's not being followed. \n\nAnabella De León is not well known outside Guatemala. Within the Central American country though, she has made headlines as an outspoken critic of corruption. She's serving her fourth term in Congress as a member of the Patriotic Party, which last weekend elected her to one of its top posts of Third National Secretary. \n\nThe death threats are not new. Since 2002, she's been protected by at least one security guard on request from the Inter-American Commission on Human Rights. Her 26-year-old son is also shadowed by a security guard; a precautionary move in response to earlier threats connected to De León's anti-corruption efforts. \n\n\"The fight against corruption doesn't give you friends,\" she said. \"[It] gives you enemies, important and dangerous enemies,\" she told CNN during a recent trip to London for a performance of the play \"Seven,\" which profiles De León and six other international female leaders. Read more about \"Seven.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72913\": \"What is her name?\"\n },\n {\n \"72914\": \"How old is her mother?\"\n },\n {\n \"72915\": \"How long ago did it happen?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72913\",\n \"answer\": \"Anabella De Le\\u00f3n\"\n },\n {\n \"question_id\": \"72914\",\n \"answer\": \"86\"\n },\n {\n \"question_id\": \"72915\",\n \"answer\": \"four months ago\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- A former Microsoft executive and his son were aboard a turboprop airline that crashed Friday morning into two houses in East Haven, Connecticut, a family member told CNN. \n\nThere has been \"no official confirmation or positive identification\" that Bill Henningsgaard and his son were on board, but there is no reason to believe that it was not the two of them, his brother, Blair Henningsgaard, said. \n\nAlso feared dead in the crash were two children -- ages 1 and 13 -- in one house, East Haven Mayor Joseph Maturo Jr. said. The other house was unoccupied. \n\nNational Transportation Safety Board investigators cannot confirm the number of people killed, saying there are reports of four to six people dead. \n\nConnecticut Gov. Dannel Malloy said there could be as many as five people killed in the crash, including up to three people on the plane. \n\nBut Blair Henningsgaard said only his brother and his nephew were believed to be on the plane. \n\nTwo bodies were seen inside the home but haven't been recovered because the home is unstable, East Haven Fire Chief Douglas Jackson said at a press conference Friday afternoon. \n\nFire consumed both houses, preventing firefighters from searching for victims, Jackson said, and the basement in the home holding at least two victims was filled with water. \n\nMaturo said the children were in one house with their mother when the plane struck shortly before 11:30 a.m. The mother escaped, he said. \n\n\"It's ... total devastation in the back of the home,\" Maturo said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"35459\": \"Which Connecticut official said there could be five people killed in a plane crash?\"\n },\n {\n \"35460\": \"What kind of plane was it?\"\n },\n {\n \"35461\": \"What man was probably on the plane?\"\n },\n {\n \"35462\": \"Where was he a former executive at?\"\n },\n {\n \"35463\": \"Who was possibly aboard the plane with him?\"\n },\n {\n \"35464\": \"According to what family member?\"\n },\n {\n \"35465\": \"What's his name?\"\n },\n {\n \"35466\": \"When did the crash happen?\"\n },\n {\n \"35467\": \"Where did it crash?\"\n },\n {\n \"35468\": \"Did it hit anything on the house?\"\n },\n {\n \"35469\": \"What?\"\n },\n {\n \"35470\": \"Was anyone in the houses?\"\n },\n {\n \"35471\": \"One or both?\"\n },\n {\n \"35472\": \"Was anyone on the ground hurt?\"\n },\n {\n \"35473\": \"Who?\"\n },\n {\n \"35474\": \"How badly were they hurt?\"\n },\n {\n \"35475\": \"How old were they?\"\n },\n {\n \"35476\": \"Were they able to recover the bodies?\"\n },\n {\n \"35477\": \"Why not?\"\n },\n {\n \"35478\": \"Has there been official confirmation of any of the deaths?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"35459\",\n \"answer\": \"Gov. Dannel Malloy\"\n },\n {\n \"question_id\": \"35460\",\n \"answer\": \"A turboprop.\"\n },\n {\n \"question_id\": \"35461\",\n \"answer\": \"Bill Henningsgaard.\"\n },\n {\n \"question_id\": \"35462\",\n \"answer\": \"Microsoft.\"\n },\n {\n \"question_id\": \"35463\",\n \"answer\": \"His son.\"\n },\n {\n \"question_id\": \"35464\",\n \"answer\": \"Bill's brother.\"\n },\n {\n \"question_id\": \"35465\",\n \"answer\": \"Blair Henningsgaard,\"\n },\n {\n \"question_id\": \"35466\",\n \"answer\": \"Friday morning.\"\n },\n {\n \"question_id\": \"35467\",\n \"answer\": \"East Haven, Connecticut.\"\n },\n {\n \"question_id\": \"35468\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"35469\",\n \"answer\": \"Two houses.\"\n },\n {\n \"question_id\": \"35470\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"35471\",\n \"answer\": \"One.\"\n },\n {\n \"question_id\": \"35472\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"35473\",\n \"answer\": \"Two children.\"\n },\n {\n \"question_id\": \"35474\",\n \"answer\": \"Feared dead.\"\n },\n {\n \"question_id\": \"35475\",\n \"answer\": \"1 and 13\"\n },\n {\n \"question_id\": \"35476\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"35477\",\n \"answer\": \"Fire consumed both houses.\"\n },\n {\n \"question_id\": \"35478\",\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 12 \n\nTHE CZAROVER OF HERKU \n\nTrot wakened just as the sun rose, and slipping out of the blankets, went to the edge of the Great Orchard and looked across the plain. Something glittered in the far distance. \"That looks like another city,\" she said half aloud. \n\n\"And another city it is,\" declared Scraps, who had crept to Trot's side unheard, for her stuffed feet made no sound. \"The Sawhorse and I made a journey in the dark while you were all asleep, and we found over there a bigger city than Thi. There's a wall around it, too, but it has gates and plenty of pathways.\" \n\n\"Did you get in?\" asked Trot. \n\n\"No, for the gates were locked and the wall was a real wall. So we came back here again. It isn't far to the city. We can reach it in two hours after you've had your breakfasts.\" \n\nTrot went back, and finding the other girls now awake, told them what Scraps had said. So they hurriedly ate some fruit--there were plenty of plums and fijoas in this part of the orchard--and then they mounted the animals and set out upon the journey to the strange city. Hank the Mule had breakfasted on grass, and the Lion had stolen away and found a breakfast to his liking; he never told what it was, but Dorothy hoped the little rabbits and the field mice had kept out of his way. She warned Toto not to chase birds and gave the dog some apple, with which he was quite content. The Woozy was as fond of fruit as of any other food except honey, and the Sawhorse never ate at all. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"86094\": \"Who awoke to the sun?\"\n },\n {\n \"86095\": \"Where did he go\"\n },\n {\n \"86096\": \"across what?\"\n },\n {\n \"86097\": \"v\"\n },\n {\n \"86098\": \"Did she see something in the distance?\"\n },\n {\n \"86099\": \"what?\"\n },\n {\n \"86100\": \"Who crept along side her?\"\n },\n {\n \"86101\": \"was she heard?\"\n },\n {\n \"86102\": \"was the city found small?\"\n },\n {\n \"86103\": \"are there only a few pathways?\"\n },\n {\n \"86104\": \"were the gates open?\"\n },\n {\n \"86105\": \"Who were awake?\"\n },\n {\n \"86106\": \"what meal was eaten?\"\n },\n {\n \"86107\": \"v\"\n },\n {\n \"86108\": \"what type of fruit?\"\n },\n {\n \"86109\": \"where was breakfast eaten?\"\n },\n {\n \"86110\": \"when would they leave?\"\n },\n {\n \"86111\": \"was the city known to them?\"\n },\n {\n \"86112\": \"who is fond of fruit?\"\n },\n {\n \"86113\": \"What food didn't he like?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"86094\",\n \"answer\": \"Trot\"\n },\n {\n \"question_id\": \"86095\",\n \"answer\": \"No boy was present\"\n },\n {\n \"question_id\": \"86096\",\n \"answer\": \"across the plain.\"\n },\n {\n \"question_id\": \"86097\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"86098\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"86099\",\n \"answer\": \"another city\"\n },\n {\n \"question_id\": \"86100\",\n \"answer\": \"Scraps\"\n },\n {\n \"question_id\": \"86101\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86102\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86103\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86104\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86105\",\n \"answer\": \"the other girls\"\n },\n {\n \"question_id\": \"86106\",\n \"answer\": \"fruits\"\n },\n {\n \"question_id\": \"86107\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"86108\",\n \"answer\": \"plums\"\n },\n {\n \"question_id\": \"86109\",\n \"answer\": \"in the orchard\"\n },\n {\n \"question_id\": \"86110\",\n \"answer\": \"after breakfast\"\n },\n {\n \"question_id\": \"86111\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"86112\",\n \"answer\": \"the Woozy\"\n },\n {\n \"question_id\": \"86113\",\n \"answer\": \"honey\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It began as horseplay, with two teenage stepbrothers chasing each other with blow guns and darts. But it soon escalated when one of the boys grabbed a knife. \n\nMichael Barton, Quantel Lotts' stepbrother, was stabbed to death at age 17. \n\nThe older teen, Michael Barton, 17, was dead by the time he reached the hospital, stabbed twice.The younger boy, Quantel Lotts, 14, would eventually become one of Missouri's youngest lifers. \n\nLotts was sentenced in Missouri's St. Francois County Circuit Court in 2002 to life in prison without parole for first-degree murder in his stepbrother's stabbing death. \n\nIt made no difference that at the time of the deadly scuffle, Lotts was barely old enough to watch PG-13 movie and too young to drive, vote or buy beer. \n\n\"They locked me up and threw away the keys,\" Lotts, now 23, said from prison. \"They took away all hope for the future.\" \n\nHis stepmother, the victim's mother, has forgiven Lotts and is working with lawyers to gain his release. \n\nLotts is one of at least 73 U.S. inmates -- most of them minorities -- who were sentenced to spend the rest of their lives in prison for crimes committed when they were 13 or 14, according to the Equal Justice Initiative, a nonprofit organization in Alabama that defends indigent defendants and prisoners. \n\nThe 73 are just a fraction of the more than 2,000 offenders serving life sentences for crimes they committed as minors under the age of 18. \n\nAcross the country, most juvenile offenders and many adults are given a second chance. Charles Manson, convicted in seven notorious murders committed when he was 27, will be eligible for his 12th parole hearing in 2012. He's been denied parole 11 times. Even \"Son of Sam\" killer David Berkowitz, who confessed to killing six people in the 1970s when he was in his 20s, has had four parole hearings, though he has said he doesn't deserve parole and doesn't want it. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54435\": \"Who was the youngest boy?\"\n },\n {\n \"54436\": \"At what age?\"\n },\n {\n \"54437\": \"How many teens did he kill?\"\n },\n {\n \"54438\": \"Was he related to the deceased?\"\n },\n {\n \"54439\": \"What weapons did they play with initially?\"\n },\n {\n \"54440\": \"Which weapon was fatal?\"\n },\n {\n \"54441\": \"What year did this occur?\"\n },\n {\n \"54442\": \"In what state?\"\n },\n {\n \"54443\": \"How many years was the sentence?\"\n },\n {\n \"54444\": \"What was the official crime?\"\n },\n {\n \"54445\": \"How many other youth received life sentences in the U.S.?\"\n },\n {\n \"54446\": \"How many were only 13 or 14 at the time of their crime?\"\n },\n {\n \"54447\": \"According to whom?\"\n },\n {\n \"54448\": \"Based where?\"\n },\n {\n \"54449\": \"Has Lott's stepmother forgiven him?\"\n },\n {\n \"54450\": \"Does she want him to be released?\"\n },\n {\n \"54451\": \"Who is she working with to that end/\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54435\",\n \"answer\": \"Quantel Lotts\"\n },\n {\n \"question_id\": \"54436\",\n \"answer\": \"Quantel Lotts, 14,\"\n },\n {\n \"question_id\": \"54437\",\n \"answer\": \"Quantel Lotts' stepbrother, was stabbed to death at age 17\"\n },\n {\n \"question_id\": \"54438\",\n \"answer\": \"stepbrother\"\n },\n {\n \"question_id\": \"54439\",\n \"answer\": \"Blow guns and darts\"\n },\n {\n \"question_id\": \"54440\",\n \"answer\": \"A knife.\"\n },\n {\n \"question_id\": \"54441\",\n \"answer\": \"2002\"\n },\n {\n \"question_id\": \"54442\",\n \"answer\": \"Missouri\"\n },\n {\n \"question_id\": \"54443\",\n \"answer\": \"life in prison\"\n },\n {\n \"question_id\": \"54444\",\n \"answer\": \"first-degree murder\"\n },\n {\n \"question_id\": \"54445\",\n \"answer\": \"More than 2,000\"\n },\n {\n \"question_id\": \"54446\",\n \"answer\": \"73\"\n },\n {\n \"question_id\": \"54447\",\n \"answer\": \"Equal Justice Initiative\"\n },\n {\n \"question_id\": \"54448\",\n \"answer\": \"Alabama\"\n },\n {\n \"question_id\": \"54449\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"54450\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"54451\",\n \"answer\": \"To gain his release.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It's been more than three weeks since militants from the dreaded Boko Haram terrorist group dragged 276 girls out of their beds at a boarding school in northern Nigeria, and still no one knows where the girls are. International assistance has begun to flow into Nigeria, whose president has vowed to end the terror threat plaguing his country. \n\nHere's what you need to know to get caught up: \n\nWhere are the girls? \n\nIt's anyone's guess. Boko Haram's leader, Abubakar Shekau, said in a video that he was going to sell them into slavery, but it's unknown whether he has. Pentagon spokesman U.S. Navy Rear Adm. John Kirby and other officials have said they believe the girls may have been separated into smaller groups, making the task of finding them inordinately more difficult. Gordon Brown, a former UK prime minister and the U.N.'s special envoy for global education, speculated that the girls may have been moved into neighboring countries. \"The search must be in Niger, Cameroon and Chad, to see if we can find information,\" he said. \n\nWhat's being done to find them? \n\nNigeria hasn't given a lot of information about its efforts other than to say that its soldiers have been out in the field, looking for the girls. Nigerian police offered a $310,000 reward, but there's no evidence that has turned up any leads. The United States and Britain have sent advisers to help the Nigerian government find the girls, stage rescue missions and help in the larger fight to defeat Boko Haram. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"57933\": \"How many girls?\"\n },\n {\n \"57934\": \"Who took them?\"\n },\n {\n \"57935\": \"Where were they before they were taken?\"\n },\n {\n \"57936\": \"Who is helping?\"\n },\n {\n \"57937\": \"Who is in charge of hostages?\"\n },\n {\n \"57938\": \"Where are they searching?\"\n },\n {\n \"57939\": \"What did he claim he would do to the hostages?\"\n },\n {\n \"57940\": \"Has he done this?\"\n },\n {\n \"57941\": \"Has there been any clues to there whereabouts?\"\n },\n {\n \"57942\": \"Is there an incentive to locate them?\"\n },\n {\n \"57943\": \"What is it?\"\n },\n {\n \"57944\": \"Who needs to be defeated?\"\n },\n {\n \"57945\": \"Why is it difficult to find them?\"\n },\n {\n \"57946\": \"Who is speaking about this?\"\n },\n {\n \"57947\": \"Is there another person?\"\n },\n {\n \"57948\": \"Who is advising?\"\n },\n {\n \"57949\": \"Who is fighting terror?\"\n },\n {\n \"57950\": \"Who put out a video?\"\n },\n {\n \"57951\": \"What role does he have?\"\n },\n {\n \"57952\": \"How long have they been missing?\"\n },\n {\n \"57953\": \"What is Boko haram?\"\n },\n {\n \"57954\": \"Where they taken in the daytime?\"\n },\n {\n \"57955\": \"Where are they thought to be now?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"57933\",\n \"answer\": \"276\"\n },\n {\n \"question_id\": \"57934\",\n \"answer\": \"Boko Haram\"\n },\n {\n \"question_id\": \"57935\",\n \"answer\": \"a boarding school in northern Nigeria\"\n },\n {\n \"question_id\": \"57936\",\n \"answer\": \"the United States and Britain\"\n },\n {\n \"question_id\": \"57937\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"57938\",\n \"answer\": \"Niger, Cameroon and Chad\"\n },\n {\n \"question_id\": \"57939\",\n \"answer\": \"sell them into slavery\"\n },\n {\n \"question_id\": \"57940\",\n \"answer\": \"it's unknown\"\n },\n {\n \"question_id\": \"57941\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57942\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"57943\",\n \"answer\": \"a $310,000 reward\"\n },\n {\n \"question_id\": \"57944\",\n \"answer\": \"Boko Haram\"\n },\n {\n \"question_id\": \"57945\",\n \"answer\": \"the girls may have been seaprated\"\n },\n {\n \"question_id\": \"57946\",\n \"answer\": \"Pentagon spokesman U.S. Navy Rear Adm. John Kirby\"\n },\n {\n \"question_id\": \"57947\",\n \"answer\": \"other officials\"\n },\n {\n \"question_id\": \"57948\",\n \"answer\": \"The United States and Britain have sent advisers\"\n },\n {\n \"question_id\": \"57949\",\n \"answer\": \"the Nigerian government\"\n },\n {\n \"question_id\": \"57950\",\n \"answer\": \"Abubakar Shekau\"\n },\n {\n \"question_id\": \"57951\",\n \"answer\": \"he's Boko Haram's leader\"\n },\n {\n \"question_id\": \"57952\",\n \"answer\": \"3 weeks\"\n },\n {\n \"question_id\": \"57953\",\n \"answer\": \"a terrorist group\"\n },\n {\n \"question_id\": \"57954\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"57955\",\n \"answer\": \"It's anyone's guess\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n As we know, on Saturday, millions of people around the world will celebrate Saint Patrick's Day, which honors Patron Saint (or main religious figure) of Ireland. Communities across the United States will host parades, parties, and other festivities to mark the occasion. \n\nThis year, cities like Boston, New York, and Chicago have organized massive events celebrating Saint Patrick's Day. In New York City, hundreds of thousands of people will gather to watch the Saint Patrick's Day parade--the nation's largest. It is one of the most watched parades in the world. Last year, almost 2 million spectators and more than 150,000 participants filled the streets. The parade, first held in 1776, is also one of the oldest. \n\nChicago also throws a big celebration. Every year, the Chicago River, which crosses the city, glows green as event organizers dump about 40 pounds of fluorescence, a powerful dye, into the water. \n\nBoston keeps its parade rolling for three hours or more. It is the nation's second-largest parade. The city will also salute one of its most famous former residents, President John F. Kennedy, by opening the exhibit \"A Journey Home: John F. Kennedy and Ireland,\" at his official library. \n\nPatron Saint lived in Britain in the early fifth century, when it was still part of the Roman Empire. He was captured and sold into slavery in Ireland when he was only 16.He eventually escaped slavery and turned to a life of religious devotion. He trained to become a minister and set out to spread Christianity throughout Ireland. After 30 years as a religious leader, Patrick died on March 17, 1461.Saint Patrick's Day is always celebrated on March 17.In Ireland, it is an official holiday.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"76354\": \"Patron Saint is known as?\"\n },\n {\n \"76355\": \"Or what?\"\n },\n {\n \"76356\": \"How is this celebrated in United States?\"\n },\n {\n \"76357\": \"How many people attend the events in New York?\"\n },\n {\n \"76358\": \"How many spectators attended last year?\"\n },\n {\n \"76359\": \"How many participants?\"\n },\n {\n \"76360\": \"The parade was first held when?\"\n },\n {\n \"76361\": \"Organizers in Chicago dump how much fluorescence?\"\n },\n {\n \"76362\": \"What is this chemical?\"\n },\n {\n \"76363\": \"Bostons parade lasts how many hours\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"76354\",\n \"answer\": \"Saint Patrick\"\n },\n {\n \"question_id\": \"76355\",\n \"answer\": \"main religious figure\"\n },\n {\n \"question_id\": \"76356\",\n \"answer\": \"parades, parties, and other festivities\"\n },\n {\n \"question_id\": \"76357\",\n \"answer\": \"hundreds of thousands\"\n },\n {\n \"question_id\": \"76358\",\n \"answer\": \"almost 2 million spectators\"\n },\n {\n \"question_id\": \"76359\",\n \"answer\": \"150,000\"\n },\n {\n \"question_id\": \"76360\",\n \"answer\": \"1776\"\n },\n {\n \"question_id\": \"76361\",\n \"answer\": \"40 pounds\"\n },\n {\n \"question_id\": \"76362\",\n \"answer\": \"a powerful dye\"\n },\n {\n \"question_id\": \"76363\",\n \"answer\": \"three or more\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n As a funny student, Brian loved watching comedies best and hoped to become a comedy actor one day. When he heard about the talent show to be held at this school, Brian decided to take part in it. \n\nHe had never acted in public before, and he was very excited. But some students laughed at him. \"You are not funny but silly,\" Ken, one of his classmates, said to his face. \"No one will like what you do,\" another boy also said to him, loudly. \n\nBrian couldn't understand why they were so unkind to him. For a moment, he thought about giving up the show. But he remembered how much his friends liked his jokes, and also his teachers said he was very funny. So he decided to prepare for the show. \n\nBrian did a great job at the talent show. Everyone loved his performance , and he won the first prize! His teachers and friends were proud of him. Even so, Ken told Brian that he was not funny, and that he would never be successful. Brian didn't understand why Ken said so, but he realized that it had nothing to do with him. He confidently continued to work towards his dream. \n\nAs the years went on, Brian met more people like Ken. \"You'll do a terrible job,\" they said to him. Luckily, most people encouraged him and some helped him to become even funnier. He got a lot of chances to perform in movies. He was even invited to appear on television. His fans thanked him because his comedies made them feel good when they were unhappy. \n\nNow Brian is a big comedy star! He is doing what he loves best. He never feels worried like those unkind people, and he laughs all day long!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26187\": \"Has Brian ever performed in front of people?\"\n },\n {\n \"26188\": \"what does he want to do when he grows up?\"\n },\n {\n \"26189\": \"what does he enjoy watching?\"\n },\n {\n \"26190\": \"what is being held in his school?\"\n },\n {\n \"26191\": \"is he going to do it?\"\n },\n {\n \"26192\": \"how did some students react?\"\n },\n {\n \"26193\": \"what did Ken say?\"\n },\n {\n \"26194\": \"Is ken his brother?\"\n },\n {\n \"26195\": \"who is he?\"\n },\n {\n \"26196\": \"what did another kids say?\"\n },\n {\n \"26197\": \"did he decide not to do the talent show?\"\n },\n {\n \"26198\": \"why?\"\n },\n {\n \"26199\": \"did his performance go well?\"\n },\n {\n \"26200\": \"what place did he get?\"\n },\n {\n \"26201\": \"how did the audience react?\"\n },\n {\n \"26202\": \"what did his teachers think?\"\n },\n {\n \"26203\": \"Did Ken congratulate him?\"\n },\n {\n \"26204\": \"what did he say?\"\n },\n {\n \"26205\": \"Did he encounter people like ken later in life?\"\n },\n {\n \"26206\": \"was he still successful?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26187\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26188\",\n \"answer\": \"Be a comedy actor\"\n },\n {\n \"question_id\": \"26189\",\n \"answer\": \"Comedies\"\n },\n {\n \"question_id\": \"26190\",\n \"answer\": \"A talent show\"\n },\n {\n \"question_id\": \"26191\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26192\",\n \"answer\": \"They laughed at him\"\n },\n {\n \"question_id\": \"26193\",\n \"answer\": \"You are not funny but silly\"\n },\n {\n \"question_id\": \"26194\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26195\",\n \"answer\": \"His classmate\"\n },\n {\n \"question_id\": \"26196\",\n \"answer\": \"That no one would like his performance\"\n },\n {\n \"question_id\": \"26197\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26198\",\n \"answer\": \"His friends liked his jokes\"\n },\n {\n \"question_id\": \"26199\",\n \"answer\": \"Brian did a great job at the talent show\"\n },\n {\n \"question_id\": \"26200\",\n \"answer\": \"First\"\n },\n {\n \"question_id\": \"26201\",\n \"answer\": \"They loved it\"\n },\n {\n \"question_id\": \"26202\",\n \"answer\": \"They were proud\"\n },\n {\n \"question_id\": \"26203\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"26204\",\n \"answer\": \"That Brian wasn't funny\"\n },\n {\n \"question_id\": \"26205\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"26206\",\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 One day, a boy named Jack wanted take a trip on his red tricycle. He was not sure where he wanted to go, but he knew he wanted to go somewhere far away. It was a cloudy and chilly day, so Jack wore a warm shirt. Jack worried that he might get lonely on his trip. He borrowed his mother's phone and taped it to the handle bars of his tricycle so he could call home. He also put his music player in his pocket. Jack put some left over pizza in his backpack in case he got hungry. Jack pedaled down his driveway, heading out on his big trip. When he got to the end of his driveway, Mrs. Jones, his teacher from school, was walking by on the sidewalk. \"Hello Jack\", said Mrs. Jones, \"Where are you going on that nice red tricycle?\" \"I'm going on a trip to someplace far away\" said Jack. Mrs. Jones smiled, and thought for a second. \"Make sure you are back by morning, we have a field trip tomorrow\", said Mrs. Jones. Jack had been waiting for the field trip for weeks. He looked at Mrs. Jones and said, \"I think I'll wait to take a trip until I can fly. I don't want to miss the field trip and this tricycle is not very fast.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"54228\": \"What color was Jack's tricycle?\"\n },\n {\n \"54229\": \"What type of shirt did Jack wear?\"\n },\n {\n \"54230\": \"What worried him about his trip?\"\n },\n {\n \"54231\": \"What did he borrow from his mother?\"\n },\n {\n \"54232\": \"What did he do with it?\"\n },\n {\n \"54233\": \"What did he put in his pocket?\"\n },\n {\n \"54234\": \"What did he put in his backpack?\"\n },\n {\n \"54235\": \"Was it fresh?\"\n },\n {\n \"54236\": \"Who was walking on the sidewalk?\"\n },\n {\n \"54237\": \"Who was she to Jack?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"54228\",\n \"answer\": \"red\"\n },\n {\n \"question_id\": \"54229\",\n \"answer\": \"a warm shirt\"\n },\n {\n \"question_id\": \"54230\",\n \"answer\": \"he might be lonely\"\n },\n {\n \"question_id\": \"54231\",\n \"answer\": \"a phone\"\n },\n {\n \"question_id\": \"54232\",\n \"answer\": \"taped it to the handle bars of his tricycle\"\n },\n {\n \"question_id\": \"54233\",\n \"answer\": \"a music player\"\n },\n {\n \"question_id\": \"54234\",\n \"answer\": \"pizza\"\n },\n {\n \"question_id\": \"54235\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"54236\",\n \"answer\": \"Mrs. Jones\"\n },\n {\n \"question_id\": \"54237\",\n \"answer\": \"his teacher\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In the intraparty battle for the GOP, score Round 1 for the Republican establishment over the tea party. \n\nCNN projects that North Carolina House Speaker Thom Tillis has won the state's GOP Senate primary. Tillis, who was backed by many mainstream Republicans, topped 40% of the primary vote Tuesday, avoiding a runoff in July. \n\nTillis beat a bunch of more conservative candidates for the chance to face off this November against first-term Democratic Sen. Kay Hagan, who is considered very vulnerable in the general election. Flipping her seat and five others held by Democrats would give Republicans control of the Senate. \n\nIn his victory speech, Tillis slammed Hagan's record, tying her to Senate Majority Leader Harry Reid and calling them \"an echo chamber for President Obama's worst ideas.\" \n\n\"We need to be clear, it's not the end of a primary, it's really the beginning of a primary mission, which has been the mission all along and that is to beat Kay Hagan and to make Harry Reid irrelevant,\" he said. \n\nRand Paul stumbles and four other takeaways from election night \n\n\"You know, their failures, both Obama's and Kay Hagan's, are obvious,\" Tillis added. \n\n\"We know a lot of them -- our government is borrowing too much money and it's dangerously in debt to China. Obamacare is not working. And Obama and Hagan's left-wing political agenda is driving up our energy prices and making our country less safe. \n\n\"For six years, she's voted with Obama and against North Carolina,\" he said. \n\nTrailing Tillis is tea party activist Greg Brannon. He enjoyed the support of many tea party groups, other influential conservative organizations and endorsements from the likes of Sens. Mike Lee of Utah and Rand Paul of Kentucky, who joined Brannon on Monday at a rally in Charlotte. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"2670\": \"Who does CNN predict will win The GOP senate primary of North Carolina?\"\n },\n {\n \"2671\": \"What did he do and say in his victory speech?\"\n },\n {\n \"2672\": \"Who will he be running against in November?\"\n },\n {\n \"2673\": \"How many years did he say she voted against Obama?\"\n },\n {\n \"2674\": \"How many seats in the senate would it take to give the repubicains control of the senate not including hers?\"\n },\n {\n \"2675\": \"Which tea party member trailed Mr. Tillis?\"\n },\n {\n \"2676\": \"Which senator of Kentucky gave him their support?\"\n },\n {\n \"2677\": \"Did Tillis beat a lot of other conservative candidates in the primary?\"\n },\n {\n \"2678\": \"What did he say about Obama's and Hagan's agenda?\"\n },\n {\n \"2679\": \"What percent of the vote did he top?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"2670\",\n \"answer\": \"Thom Tillis\"\n },\n {\n \"question_id\": \"2671\",\n \"answer\": \"He slammed Hagan's record, tying her to Senate Majority Leader Harry Reid and calling them \\\"an echo chamber for President Obama's worst ideas.\\\"\"\n },\n {\n \"question_id\": \"2672\",\n \"answer\": \"Kay Hagan\"\n },\n {\n \"question_id\": \"2673\",\n \"answer\": \"Six years\"\n },\n {\n \"question_id\": \"2674\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"2675\",\n \"answer\": \"Greg Brannon\"\n },\n {\n \"question_id\": \"2676\",\n \"answer\": \"Rand Paul\"\n },\n {\n \"question_id\": \"2677\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"2678\",\n \"answer\": \"It's driving up energy prices and making our country less safe\"\n },\n {\n \"question_id\": \"2679\",\n \"answer\": \"40%\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Dallas (CNN) -- Polygamist leader Warren Jeffs remained in critical condition in a Texas hospital on Tuesday, but was not in a coma and is expected to recover, state prison officials said. \n\nJeffs fell ill while fasting in a prison in Palestine, Texas, where he is serving a life-plus-20-year term for sexual assault, Texas Department of Criminal Justice spokesman Jason Clark said. But while a source familiar with Jeffs' condition told CNN Monday that the leader of the Fundamentalist Church of Jesus Christ of Latter-day Saints was in a coma, Clark said Tuesday that Jeffs was conscious. \n\n\"He's somewhat sedated, but he is responsive,\" Clark wrote. \n\nAnd Michelle Lyons, another press officer for the department, said Jeffs \"is expected to make a full recovery.\" Lyons said that in addition to not eating, he had \"bigger issues that required medical attention.\" \n\nPrison officials have not elaborated on those conditions, citing inmate privacy rules. \n\nJeffs was convicted in early August of the aggravated sexual assaults of a 12-year-old girl and a 15-year-old girl he claimed were his \"spiritual wives.\" His church is a breakaway Mormon sect that practices polygamy, which the mainstream Mormon Church renounced more than a century ago. \n\nJeffs was sent to a hospital in Tyler on Sunday night and was in critical but stable condition Tuesday. He told officials at the Powledge prison unit that he was not on a hunger strike, but had been \"fasting,\" Clark said. \n\n\"While he definitely is eating and drinking some, it just wasn't as much as he should,\" Clark said. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"87684\": \"why couldn't officials elaborate on Fells \\\"conditions\\\"\"\n },\n {\n \"87685\": \"when was he convicted?\"\n },\n {\n \"87686\": \"what is he the leader of?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"87684\",\n \"answer\": \"privacy rules.\"\n },\n {\n \"question_id\": \"87685\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"87686\",\n \"answer\": \"a breakaway Mormon sect\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 University of Iowa (also known as the UI, U of I, UIowa, or simply Iowa) is a flagship public research university in Iowa City, Iowa. Founded in 1847, it is the oldest university in the state. Iowa is the second largest university in the state of Iowa, behind Iowa State University. University of Iowa is organized into eleven colleges offering more than 200 areas of study and seven professional degrees. \n\nLocated on an urban 1,700 acre campus on the banks of the Iowa River, the University of Iowa is classified as a Doctoral University with Highest Research Activity by the Carnegie Classifications. The university is best known for its programs in health care, law, and the fine arts, with programs ranking among the top 25 nationally in those areas. The University of Iowa Hospitals and Clinics and the Stead Family Children's Hospital are ranked nationally by U.S. News and World Report in eleven specialties. The university was the original developer of the Master of Fine Arts degree and it operates the world-renowned Iowa Writer's Workshop, which has produced 17 of the university's 46 Pulitzer Prize winners. Iowa is a member of several prestigious research coalitions, including the Association of American Universities, the Universities Research Association, and the Big Ten Academic Alliance.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14689\": \"How large is University of Iowa's campus?\"\n },\n {\n \"14690\": \"Is it in a rural area?\"\n },\n {\n \"14691\": \"What river is it next to?\"\n },\n {\n \"14692\": \"Is it a doctoral university?\"\n },\n {\n \"14693\": \"Does it have a lot of research activity?\"\n },\n {\n \"14694\": \"Who says?\"\n },\n {\n \"14695\": \"What areas of study is it most famous for?\"\n },\n {\n \"14696\": \"Are they ranked highly in the country?\"\n },\n {\n \"14697\": \"Do they sponsor a children's hospital?\"\n },\n {\n \"14698\": \"What is it called?\"\n },\n {\n \"14699\": \"How many specialties is it ranked in?\"\n },\n {\n \"14700\": \"Who ranked them?\"\n },\n {\n \"14701\": \"What degree did the university originate?\"\n },\n {\n \"14702\": \"How many Pulitzer Prize winners have come from the school?\"\n },\n {\n \"14703\": \"How many total from the entire school?\"\n },\n {\n \"14704\": \"What program were seventeen of those in?\"\n },\n {\n \"14705\": \"Is the school a part of the Big 10 Academic Alliance?\"\n },\n {\n \"14706\": \"How many other names does the University of Iowa go by?\"\n },\n {\n \"14707\": \"How many Iowa schools are older?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14689\",\n \"answer\": \"1,700 acres\"\n },\n {\n \"question_id\": \"14690\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"14691\",\n \"answer\": \"Iowa River\"\n },\n {\n \"question_id\": \"14692\",\n \"answer\": \"YEs\"\n },\n {\n \"question_id\": \"14693\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14694\",\n \"answer\": \"Carnegie Classifications\"\n },\n {\n \"question_id\": \"14695\",\n \"answer\": \"health care, law, and the fine arts\"\n },\n {\n \"question_id\": \"14696\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14697\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"14698\",\n \"answer\": \"The University of Iowa Hospitals and Clinics\"\n },\n {\n \"question_id\": \"14699\",\n \"answer\": \"eleven\"\n },\n {\n \"question_id\": \"14700\",\n \"answer\": \"U.S. News and World Report\"\n },\n {\n \"question_id\": \"14701\",\n \"answer\": \"Master of Fine Arts degree\"\n },\n {\n \"question_id\": \"14702\",\n \"answer\": \"17\"\n },\n {\n \"question_id\": \"14703\",\n \"answer\": \"46\"\n },\n {\n \"question_id\": \"14704\",\n \"answer\": \"Iowa Writer's Workshop\"\n },\n {\n \"question_id\": \"14705\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"14706\",\n \"answer\": \"Five\"\n },\n {\n \"question_id\": \"14707\",\n \"answer\": \"It is the oldest.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n MEXICO CITY, Mexico (CNN) -- A former anti-drug czar in Mexico has been arrested on corruption charges in his home state of Chiapas, officials said. \n\nMariano Francisco Herran Salvatti, who also was the attorney general in Chiapas for more than six years, is charged with embezzlement, criminal association and other acts of corruption, Chiapas Attorney General Raciel Lopez Salazar said. \n\n\"In Chiapas, the validity of the law also means that the culture of privilege has passed and justice is applied equally to all,\" Lopez said on the Chiapas government Web page. \n\nHerran was arrested Saturday night in Tuxtla Gutierrez, Mexico, but Lopez did not announce the arrest until Sunday. \n\nThe attorney general contends Herran committed the crimes while he served as secretary of economic development in Chiapas, a post he held from November 2007 until June. \n\nOfficials are investigating irregularities involving 175 million pesos (about $12.5 million), Notimex said. \n\nHerran served as drug czar for President Ernesto Zedillo from 1997 to 2000. In that post, he was involved in the prosecution of more than 60 members of the Juarez drug cartel and the investigation that led to the 2001 arrest of former Quintana Roo Gov. Mario Villanueva Madrid for his connections to drug traffickers. \n\nHerran, a lawyer, served as attorney general in Chiapas from 2000 to 2006. He came under investigation in April on suspicion of violating the rights of 146 criminal suspects while he was attorney general and was fired as the economic development minister in June. \n\nHe still faces prosecution on those charges. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"21815\": \"What is Salvatti charged with?\"\n },\n {\n \"21816\": \"What position did he hold for years?\"\n },\n {\n \"21817\": \"Where?\"\n },\n {\n \"21818\": \"Who is the current attorney general?\"\n },\n {\n \"21819\": \"When was Herran arrested?\"\n },\n {\n \"21820\": \"On what night was he arrested?\"\n },\n {\n \"21821\": \"On what day was the arrest made publicly known?\"\n },\n {\n \"21822\": \"Who announced it?\"\n },\n {\n \"21823\": \"What post did Herran hold from Nov 2007 until June?\"\n },\n {\n \"21824\": \"Did he commit crimes at that time, too?\"\n },\n {\n \"21825\": \"When was he a drug czar for a president?\"\n },\n {\n \"21826\": \"Which president?\"\n },\n {\n \"21827\": \"Had Herran practiced as a lawyer?\"\n },\n {\n \"21828\": \"How many criminals had he violated the rights of supposedly?\"\n },\n {\n \"21829\": \"When was he fired from the economic development minister position?\"\n },\n {\n \"21830\": \"Was he involved in the prosecution of members of a drug cartel?\"\n },\n {\n \"21831\": \"What is the name of the cartel?\"\n },\n {\n \"21832\": \"How many member were prosecuted from it by Herran?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"21815\",\n \"answer\": \"with embezzlement, criminal association and other acts of corruption\"\n },\n {\n \"question_id\": \"21816\",\n \"answer\": \"attorney general\"\n },\n {\n \"question_id\": \"21817\",\n \"answer\": \"Chiapas\"\n },\n {\n \"question_id\": \"21818\",\n \"answer\": \"Raciel Lopez Salazar\"\n },\n {\n \"question_id\": \"21819\",\n \"answer\": \"in Tuxtla Gutierrez, Mexico\"\n },\n {\n \"question_id\": \"21820\",\n \"answer\": \"Saturday night\"\n },\n {\n \"question_id\": \"21821\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"21822\",\n \"answer\": \"Lopez\"\n },\n {\n \"question_id\": \"21823\",\n \"answer\": \"secretary of economic development\"\n },\n {\n \"question_id\": \"21824\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21825\",\n \"answer\": \"from 1997 to 2000\"\n },\n {\n \"question_id\": \"21826\",\n \"answer\": \"President Ernesto Zedillo\"\n },\n {\n \"question_id\": \"21827\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21828\",\n \"answer\": \"146\"\n },\n {\n \"question_id\": \"21829\",\n \"answer\": \"in June\"\n },\n {\n \"question_id\": \"21830\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"21831\",\n \"answer\": \"the Juarez drug cartel\"\n },\n {\n \"question_id\": \"21832\",\n \"answer\": \"more than 60 members\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Somalis (Somali: Soomaali, Arabic: صومال‎) are an ethnic group inhabiting the Horn of Africa (Somali Peninsula). The overwhelming majority of Somalis speak the Somali language, which is part of the Cushitic branch of the Afro-Asiatic family. They are predominantly Sunni Muslim. Ethnic Somalis number around 16-20 million and are principally concentrated in Somalia (around 12.3 million), Ethiopia (4.6 million), Kenya (2.4 million), and Djibouti (464,600), with many also residing in parts of the Middle East, North America and Europe. \n\nIrir Samaale, the oldest common ancestor of several Somali clans, is generally regarded as the source of the ethnonym Somali. The name \"Somali\" is, in turn, held to be derived from the words soo and maal, which together mean \"go and milk\" — a reference to the ubiquitous pastoralism of the Somali people. Another plausible etymology proposes that the term Somali is derived from the Arabic for \"wealthy\" (dhawamaal), again referring to Somali riches in livestock.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"97225\": \"What area do the Somalis live in?\"\n },\n {\n \"97226\": \"How do you say their name in their native language?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"97225\",\n \"answer\": \"the Horn of Africa\"\n },\n {\n \"question_id\": \"97226\",\n \"answer\": \"\\u0635\\u0648\\u0645\\u0627\\u0644\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Cyber language is popular among Chinese netizens, who create English words to reflect novel phenomenon in society. \n\n\"Gelivable\", combining pinyin of Chinese characters Geili (giving strength) with the English suffix for adjectives, literally means \"giving power\" or \"cool\". Similarly, \"Hengelivable\" means \"very cool\", and \"ungelivable\" means \"dull, not cool at al\". \"Antizen\" referred to the group of college graduates who, earning a poor salary and living in small rented apartments, are like the tiny and laborious ants. \n\nDavid Tool, a professor with the Beijing International Studies University said it's very interesting to combine Chinese with English to create new words. \"English is no longer mysterious to the Chinese people. They can use the language in a flexible way according to their own experiences,\" he said. Chinese words and expressions were created, as well, by netizens. One example was \"Suan Ni Hen\". This three-character expression, which originally meant \"you win\" with the first character carrying the same pronunciation as garlic in Chinese, is used to satirize high garlic and food prices this winter. \n\nChinese people use the character \"bei\" before a verb to show a passive voice, and it is used by netizens to show the helplessness in front of false conclusions and fake media reports. For instance, \"zisha\" means \"suicide\" while \"beizisha\" means \"be officially presumed to have committed suicide\", and xiaokang means \"fairly comfortable life\" while \"beixiaokang\" means \"be said to be living a fairly comfortable life\". \n\nWu Zhongmin, a professor at the Party School of the Central Committee of the Communist Party of China, saw the phenomenon of word creation as a natural response of young people to social issues. \"Cyber language is more vivid and it shortens people's distances,\" he said.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17791\": \"what is the language called\"\n },\n {\n \"17792\": \"who is it popular with\"\n },\n {\n \"17793\": \"what do they do with the language\"\n },\n {\n \"17794\": \"who is a professor\"\n },\n {\n \"17795\": \"where\"\n },\n {\n \"17796\": \"what does he say about english\"\n },\n {\n \"17797\": \"what word is used for poor school grads\"\n },\n {\n \"17798\": \"what goes before a verb\"\n },\n {\n \"17799\": \"what means one killing his/her self\"\n },\n {\n \"17800\": \"what word means you are doing well in life\"\n },\n {\n \"17801\": \"what phrase used to mean \\\"you win\\\"\"\n },\n {\n \"17802\": \"who else was a professor\"\n },\n {\n \"17803\": \"where\"\n },\n {\n \"17804\": \"how does he describe the language\"\n },\n {\n \"17805\": \"what word means very cool\"\n },\n {\n \"17806\": \"what means dull\"\n },\n {\n \"17807\": \"what two languages combine to form this one\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17791\",\n \"answer\": \"Cyber language\"\n },\n {\n \"question_id\": \"17792\",\n \"answer\": \"Chinese netizens\"\n },\n {\n \"question_id\": \"17793\",\n \"answer\": \"create English words to reflect novel phenomenon in society.\"\n },\n {\n \"question_id\": \"17794\",\n \"answer\": \"David Tool\"\n },\n {\n \"question_id\": \"17795\",\n \"answer\": \"Beijing International Studies University\"\n },\n {\n \"question_id\": \"17796\",\n \"answer\": \"\\\"English is no longer mysterious to the Chinese people. They can use the language in a flexible way according to their own experiences\\\"\"\n },\n {\n \"question_id\": \"17797\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"17798\",\n \"answer\": \"\\\"bei\\\"\"\n },\n {\n \"question_id\": \"17799\",\n \"answer\": \"\\\"zisha\\\"\"\n },\n {\n \"question_id\": \"17800\",\n \"answer\": \"xiaokang\"\n },\n {\n \"question_id\": \"17801\",\n \"answer\": \"\\\"Suan Ni Hen\\\"\"\n },\n {\n \"question_id\": \"17802\",\n \"answer\": \"Wu Zhongmin\"\n },\n {\n \"question_id\": \"17803\",\n \"answer\": \"Party School of the Central Committee of the Communist Party of China\"\n },\n {\n \"question_id\": \"17804\",\n \"answer\": \"\\\"Cyber language is more vivid and it shortens people's distances,\\\"\"\n },\n {\n \"question_id\": \"17805\",\n \"answer\": \"\\\"Hengelivable\\\"\"\n },\n {\n \"question_id\": \"17806\",\n \"answer\": \"\\\"ungelivable\\\"\"\n },\n {\n \"question_id\": \"17807\",\n \"answer\": \"Chinese characters with the English suffix\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Eco City Farms are becoming more popular in cities and towns around the United States. \n\nEco City Farms in Edmonston,Maryland, is located near shopping centers, car repair shops and homes. The neighborhood is a workingclass community. People do not have very much money, and they have limited access to fresh food in markets. \n\nOver the past two years, the farm has attracted volunteers from the community like Marcy Clark. She schools her four children at home. On a recent day she brought them to Eco City Farms for a lesson. Her son Alston Clark thinks his experience is very valuable. \"I like coming out here,\" he says, \"You know, you connect with the earth, where your food comes from. You appreciate the food a little bit more.\" \n\nMargaret Morgan started Eco City Farms. She thinks of it as a place where people can learn to live healthier lives. \"Growing food in a community brings people together,\" she continues, \"Every piece of what we do here is a demonstration to show people everything about how to have an ecofriendly community.\" she says. From the Eco City Farms people come to know that they are not only growing food and raising chickens and bees, but improving the soil with compost made from food waste. \n\nEco City Farms is an experimental operation. The farm gets its power not from the local electricity networks, but from the sun with solar panels. In winter, the green houses use a geothermal system. \n\nVegetables can be grown all year. So once a week, all winter long, neighbors like Chris Moss and her three children bike to the farm to pick up a share of the harvest. \n\n\"I like eating the vegetables,\" says fiveyearold Owen Moss.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"60308\": \"Who started Eco City Farms?\"\n },\n {\n \"60309\": \"Does she think people can learn to live better there?\"\n },\n {\n \"60310\": \"Where does the farm get it's electricity?\"\n },\n {\n \"60311\": \"How long is the growing season at the farm?\"\n },\n {\n \"60312\": \"Which neighbor's go weekly in winter?\"\n },\n {\n \"60313\": \"How do they get there?\"\n },\n {\n \"60314\": \"Does Owen like veggies?\"\n },\n {\n \"60315\": \"What city is the farm in?\"\n },\n {\n \"60316\": \"Is that in Vermont?\"\n },\n {\n \"60317\": \"Where?\"\n },\n {\n \"60318\": \"What's it near?\"\n },\n {\n \"60319\": \"What kind of place is it?\"\n },\n {\n \"60320\": \"Do people have much money in the community?\"\n },\n {\n \"60321\": \"Do they attract volunteers?\"\n },\n {\n \"60322\": \"Like who?\"\n },\n {\n \"60323\": \"Does she have kids?\"\n },\n {\n \"60324\": \"How many?\"\n },\n {\n \"60325\": \"Do they attend public school?\"\n },\n {\n \"60326\": \"Where do they get their education?\"\n },\n {\n \"60327\": \"What's Marcy's son's name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"60308\",\n \"answer\": \"Margaret Morgan\"\n },\n {\n \"question_id\": \"60309\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60310\",\n \"answer\": \"from the sun\"\n },\n {\n \"question_id\": \"60311\",\n \"answer\": \"all year\"\n },\n {\n \"question_id\": \"60312\",\n \"answer\": \"Chris Moss and her three children\"\n },\n {\n \"question_id\": \"60313\",\n \"answer\": \"bicycling\"\n },\n {\n \"question_id\": \"60314\",\n \"answer\": \"Yres\"\n },\n {\n \"question_id\": \"60315\",\n \"answer\": \"Edmonston\"\n },\n {\n \"question_id\": \"60316\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"60317\",\n \"answer\": \"Maryland\"\n },\n {\n \"question_id\": \"60318\",\n \"answer\": \"shopping centers, car repair shops and homes.\"\n },\n {\n \"question_id\": \"60319\",\n \"answer\": \"a place where people can learn to live healthier lives\"\n },\n {\n \"question_id\": \"60320\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60321\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60322\",\n \"answer\": \"Marcy Clark\"\n },\n {\n \"question_id\": \"60323\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"60324\",\n \"answer\": \"four\"\n },\n {\n \"question_id\": \"60325\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"60326\",\n \"answer\": \"at home\"\n },\n {\n \"question_id\": \"60327\",\n \"answer\": \"Alston Clark\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- They spent 69 days in the bowels of the earth, 700 meters deep, not knowing if they would survive. For 17 days after the mine in which they were working collapsed, nobody even knew if they were alive. Friday marks the one-year observance of the fateful incident in Chile that trapped 33 miners who were saved in a miraculous rescue that made headlines around the world. \n\nFame came after the rescue, which faded quicker in their country than abroad, and since then they have traveled to several destinations all-expenses-paid, though many report having money problems. \n\nFour of the miners will observe the anniversary of the event that changed their lives in Washington where an exhibit in their honor is being opened at the Smithsonian Institution. \n\nMario Sepulveda, one of the miners attending, reflected on the historical significance of the event. \n\n\"In spite of our painful experience, it is very important to us that what is being exhibited will show the world what happened,\" Sepulveda said. He was the second to be rescued from the mine. \n\nSince they were rescued last October, the miners have traveled the world. Edison Pena, the miner whose underground workouts in the darkness garnered attention, ran the New York Marathon less than a month after being rescued. \n\nPena also appeared on \"The Late Show with Dave Letterman\" on CBS where he impersonated his idol, Elvis Presley. Then, in January, he was invited as a guest of honor to the Graceland Mansion, in Memphis, Tennessee. Pena had dreamed of visiting the mansion since he became an Elvis fan as a teenager. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"89346\": \"Who was stuck somewhere?\"\n },\n {\n \"89347\": \"Where?\"\n },\n {\n \"89348\": \"Who was stuck?\"\n },\n {\n \"89349\": \"What were they stuck in?\"\n },\n {\n \"89350\": \"For how long?\"\n },\n {\n \"89351\": \"How deep was it?\"\n },\n {\n \"89352\": \"Did they get out?\"\n },\n {\n \"89353\": \"When?\"\n },\n {\n \"89354\": \"What did Pena like to do in the mine to spend time?\"\n },\n {\n \"89355\": \"Does he run races?\"\n },\n {\n \"89356\": \"What's one of the races he has ran?\"\n },\n {\n \"89357\": \"When did he do that?\"\n },\n {\n \"89358\": \"Is he a music fan?\"\n },\n {\n \"89359\": \"Who is one of his favorite singers?\"\n },\n {\n \"89360\": \"How long has he been a fan?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"89346\",\n \"answer\": \"Miners\"\n },\n {\n \"question_id\": \"89347\",\n \"answer\": \"Chile\"\n },\n {\n \"question_id\": \"89348\",\n \"answer\": \"33 Miners\"\n },\n {\n \"question_id\": \"89349\",\n \"answer\": \"In a mine\"\n },\n {\n \"question_id\": \"89350\",\n \"answer\": \"69 days\"\n },\n {\n \"question_id\": \"89351\",\n \"answer\": \"700 meters\"\n },\n {\n \"question_id\": \"89352\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89353\",\n \"answer\": \"October\"\n },\n {\n \"question_id\": \"89354\",\n \"answer\": \"Underground workouts\"\n },\n {\n \"question_id\": \"89355\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89356\",\n \"answer\": \"New York Marathon\"\n },\n {\n \"question_id\": \"89357\",\n \"answer\": \"Less than a month after being rescued\"\n },\n {\n \"question_id\": \"89358\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"89359\",\n \"answer\": \"Elvis Presley\"\n },\n {\n \"question_id\": \"89360\",\n \"answer\": \"Since he was a teenager.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTHE PERSISTENCY OF BORROWDEAN \n\n\"And what does Mannering think of it all, I wonder!\" Lord Redford remarked, lighting a fresh cigarette. \"This may be his opportunity, who can tell!\" \n\n\"Will he have the nerve to grasp it?\" Borrowdean asked. \"Mannering has never been proved in a crisis.\" \n\n\"He may have the nerve. I should be more inclined to question the desire,\" Lord Redford said. \"For a man in his position he has always seemed to me singularly unambitious. I don't think that the prospect of being Prime Minister would dazzle him in the least. It is part of the genius of the politician too, to know exactly when and how to seize an opportunity. I can imagine him watching it come, examining it through his eyeglass, and standing on one side with a shrug of the shoulders.\" \n\n\"You do not believe, then,\" Berenice said, \"that he is sufficiently in earnest to grasp it?\" \n\n\"Exactly,\" Lord Redford said. \"I have that feeling about Mannering, I must admit, especially during the last two years. He seems to have drawn away from all of us, to live altogether too absorbed and self-contained a life for a man who has great ambitions to realize, or who is in downright earnest about his work.\" \n\n\"What you all forget when you discuss Lawrence Mannering is this,\" Berenice said. \"He holds his position almost as a sacred charge. He is absolutely conscientious. He wants certain things for the sake of the people, and he will work steadily on until he gets them. I believe it is the truth that he has no personal ambition, but if the cause he has at heart is to be furthered at all it must be by his taking office. Therefore I think that when the time comes he will take it.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47017\": \"Was someone smoking?\"\n },\n {\n \"47018\": \"Who?\"\n },\n {\n \"47019\": \"Who had a query for him?\"\n },\n {\n \"47020\": \"Who were they discussing?\"\n },\n {\n \"47021\": \"Who else was involved in the talk?\"\n },\n {\n \"47022\": \"Did Borrowdean feel the subject of their talk, was proven?\"\n },\n {\n \"47023\": \"Who questioned his hunger?\"\n },\n {\n \"47024\": \"Did he find this person to be ambitious?\"\n },\n {\n \"47025\": \"What political position were they discussing?\"\n },\n {\n \"47026\": \"Who questioned his earnestness?\"\n },\n {\n \"47027\": \"Who also doubted he had this quality?\"\n },\n {\n \"47028\": \"In his opinion, had Mannering become too close to them?\"\n },\n {\n \"47029\": \"Who felt he viewed his role as sacrosanct?\"\n },\n {\n \"47030\": \"Did she think he was dishonest?\"\n },\n {\n \"47031\": \"For whose interests did she feel he labored?\"\n },\n {\n \"47032\": \"Did she feel he might give up on this easily?\"\n },\n {\n \"47033\": \"Did Lord Redford feel, he desired the job they were discussing?\"\n },\n {\n \"47034\": \"Did Berenice agree with this?\"\n },\n {\n \"47035\": \"How did she feel he would advance his cause?\"\n },\n {\n \"47036\": \"What did Lord Redford see as a component of political brilliance?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47017\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"47018\",\n \"answer\": \"Lord Redford\"\n },\n {\n \"question_id\": \"47019\",\n \"answer\": \"Borrowdean\"\n },\n {\n \"question_id\": \"47020\",\n \"answer\": \"Mannering\"\n },\n {\n \"question_id\": \"47021\",\n \"answer\": \"Berenice\"\n },\n {\n \"question_id\": \"47022\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47023\",\n \"answer\": \"Lord Redford\"\n },\n {\n \"question_id\": \"47024\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47025\",\n \"answer\": \"Prime Minister\"\n },\n {\n \"question_id\": \"47026\",\n \"answer\": \"Berenice\"\n },\n {\n \"question_id\": \"47027\",\n \"answer\": \"Lord Redford\"\n },\n {\n \"question_id\": \"47028\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47029\",\n \"answer\": \"Berenice\"\n },\n {\n \"question_id\": \"47030\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47031\",\n \"answer\": \"the people\"\n },\n {\n \"question_id\": \"47032\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47033\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47034\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47035\",\n \"answer\": \"by his taking office\"\n },\n {\n \"question_id\": \"47036\",\n \"answer\": \"to know exactly when and how to seize an opportunity\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 once was a big black and white dog named Forrest. His owner's name was Jeff. Jeff thought he was the best dog in the whole world. \n\nOne night, when Forrest and Jeff were taking a walk in the park, they saw two men walking down the path. Both men were dressed in very nice suits. \n\nJeff waved at the men. \n\n\"Good evening,\" he said. \"How are you tonight?\" \n\n\"Hello,\" one of the men said. \"It is such a great night for walking.\" \n\nJeff and Forrest kept walking down the path. It was a very dark night, but the moon was shining bright. When Jeff turned around to look for the two men, he could not see them at all. They were nowhere to be seen. \n\nLater that night, when their walk was over, Jeff and Forrest were lying on the bed. They were watching a television show about ghosts. \n\n\"Do you think maybe those two men were ghosts?\" Jeff said out loud. \"They did not leave a trace.\" \n\nForrest was a dog, but he acted like he understood. He barked. \n\nJeff smiled. He liked that his dog always saw things the same way he did.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"26860\": \"What were the men wearing?\"\n },\n {\n \"26861\": \"Were these suits cheap?\"\n },\n {\n \"26862\": \"Where were they?\"\n },\n {\n \"26863\": \"Who motioned \\\"hello\\\"?\"\n },\n {\n \"26864\": \"Did he have a companion?\"\n },\n {\n \"26865\": \"Who was that?\"\n },\n {\n \"26866\": \"What was he?\"\n },\n {\n \"26867\": \"How many colors was he?\"\n },\n {\n \"26868\": \"Did they ponder the guys they met being apparitions, or real people?\"\n },\n {\n \"26869\": \"Why did they suppose this may be?\"\n },\n {\n \"26870\": \"Was the night bright?\"\n },\n {\n \"26871\": \"What was bright?\"\n },\n {\n \"26872\": \"How many laid down to watch the spooky program?\"\n },\n {\n \"26873\": \"What was the spooky program about?\"\n },\n {\n \"26874\": \"Was the pet the best on the whole block?\"\n },\n {\n \"26875\": \"Were the guys on the stroll running?\"\n },\n {\n \"26876\": \"Did the man frown at his pet?\"\n },\n {\n \"26877\": \"What did he do instead?\"\n },\n {\n \"26878\": \"Did he like three attributes about his pet?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"26860\",\n \"answer\": \"suits.\"\n },\n {\n \"question_id\": \"26861\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26862\",\n \"answer\": \"the park\"\n },\n {\n \"question_id\": \"26863\",\n \"answer\": \"Jeff\"\n },\n {\n \"question_id\": \"26864\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26865\",\n \"answer\": \"Forrest\"\n },\n {\n \"question_id\": \"26866\",\n \"answer\": \"a dog\"\n },\n {\n \"question_id\": \"26867\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"26868\",\n \"answer\": \"apperitions\"\n },\n {\n \"question_id\": \"26869\",\n \"answer\": \"no trace\"\n },\n {\n \"question_id\": \"26870\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26871\",\n \"answer\": \"the moon\"\n },\n {\n \"question_id\": \"26872\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"26873\",\n \"answer\": \"ghosts\"\n },\n {\n \"question_id\": \"26874\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"26875\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26876\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"26877\",\n \"answer\": \"smiled\"\n },\n {\n \"question_id\": \"26878\",\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 TEN. \n\nDANGERS, JOYS, TRIALS, AND MULTIPLICATION. \n\n\"I'm going to the cliffs to-day, Williams,\" said Young one morning. \"Will you come?\" \n\nWilliams was busy at the forge under the pleasant shade of the great banyan-tree. Resting his hammer on the anvil, he looked up. \n\n\"No,\" he answered. \"I can't go till I've finished this spade. It's the last bit of iron we have left that'll serve for such a purpose.\" \n\n\"That's no reason why you should not let it lie till the afternoon or to-morrow.\" \n\n\"True, but I've got another reason for pushing through with it. Isaac Martin says the want of a spade keeps him idle, and you know it's a pity to encourage idleness in a lazy fellow.\" \n\n\"You are right. What is Martin about just now?\" \n\n\"Working at the big water-tank. It suits him, a heavy quiet sort of job with the pick, requiring no energy or thought,--only a sleepy sort o' perseverance, of which long-legged Isaac has plenty.\" \n\n\"Come, now,\" returned Young, with a laugh. \"I see you are getting jealous of Martin's superior intellect. But where are Quintal and McCoy?\" \n\n\"Diggin' in their gardens, I suppose. Leastwise, I heerd Mr Christian say to Mainmast he'd seen 'em go off in that direction. Mr Christian himself has gone to his old outlook aloft on the mountains. If he don't see a sail at last it won't be for want o' keepin' a bright look-out.\" \n\nThe armourer smiled grimly as he thrust the edge of the half-formed spade into the fire, and began to blow his bellows. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"79574\": \"Who was at the forge?\"\n },\n {\n \"79575\": \"Who came to see him?\"\n },\n {\n \"79576\": \"What did he want?\"\n },\n {\n \"79577\": \"to where?\"\n },\n {\n \"79578\": \"Did he go?\"\n },\n {\n \"79579\": \"Why not?\"\n },\n {\n \"79580\": \"For who?\"\n },\n {\n \"79581\": \"Why?\"\n },\n {\n \"79582\": \"Who was digging?\"\n },\n {\n \"79583\": \"Where was the forge?\"\n },\n {\n \"79584\": \"Was it sunny there?\"\n },\n {\n \"79585\": \"What did Young ask Williams to do?\"\n },\n {\n \"79586\": \"Where did The other man go?\"\n },\n {\n \"79587\": \"Who was he?\"\n },\n {\n \"79588\": \"Where was it?\"\n },\n {\n \"79589\": \"What was he looking for?\"\n },\n {\n \"79590\": \"Where was Martin working?\"\n },\n {\n \"79591\": \"Was he very smart?\"\n },\n {\n \"79592\": \"Was he lazy?\"\n },\n {\n \"79593\": \"Is Isaac short?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"79574\",\n \"answer\": \"Williams\"\n },\n {\n \"question_id\": \"79575\",\n \"answer\": \"Young\"\n },\n {\n \"question_id\": \"79576\",\n \"answer\": \"Williams to go with him\"\n },\n {\n \"question_id\": \"79577\",\n \"answer\": \"to the cliffs\"\n },\n {\n \"question_id\": \"79578\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"79579\",\n \"answer\": \"He had to finish the spade\"\n },\n {\n \"question_id\": \"79580\",\n \"answer\": \"Isaac Martin\"\n },\n {\n \"question_id\": \"79581\",\n \"answer\": \"So he wouldn't be idle\"\n },\n {\n \"question_id\": \"79582\",\n \"answer\": \"Quintal and McCoy\"\n },\n {\n \"question_id\": \"79583\",\n \"answer\": \"under the great banyan-tree\"\n },\n {\n \"question_id\": \"79584\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79585\",\n \"answer\": \"let it lie till the afternoon\"\n },\n {\n \"question_id\": \"79586\",\n \"answer\": \"to his old outlook\"\n },\n {\n \"question_id\": \"79587\",\n \"answer\": \"Mr Christian\"\n },\n {\n \"question_id\": \"79588\",\n \"answer\": \"on the mountains\"\n },\n {\n \"question_id\": \"79589\",\n \"answer\": \"a sail\"\n },\n {\n \"question_id\": \"79590\",\n \"answer\": \"the big water-tank\"\n },\n {\n \"question_id\": \"79591\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"79592\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"79593\",\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 chipmunks were busy getting ready for the winter. Little Chip had never seen everyone so busy. Chipmunks were running this way and that way. Even his Granddaddy was helping out, stuffing melons up into the holes in the tree. Aunt Chippa was clapping at everyone to hurry them up. Little Chip wasn't sure what they were all doing. His mom had told him, \"Getting ready for winter\" but Little Chip didn't know what that meant. He sat on the seesaw trying to guess. He knew that people were gathering things. Now that he thought about it, they were gathering food! Little Chip thought for a second...could they be gathering food for a party? That couldn't be it, everyone was gathering so much food that not every chipmunk in the town could come close to eating all the food for a single party. Little Chip looked at his big toe and thought. He saw another chipmunk digging in the ground and stuffing more food there. Was the guy trying to plant seeds to grow? Seeds wouldn't grow in the winter, it's too cold! Little Chip sat up and knew why everyone was so busy! Winter is coming!\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"47705\": \"What did Aunt Chippa do to hurry everyone up?\"\n },\n {\n \"47706\": \"Did little chip know what was going on?\"\n },\n {\n \"47707\": \"what were the chipmunks getting ready for?\"\n },\n {\n \"47708\": \"did granddaddy try to help?\"\n },\n {\n \"47709\": \"how?\"\n },\n {\n \"47710\": \"what did Chip notice they were gathering?\"\n },\n {\n \"47711\": \"was it for a party?\"\n },\n {\n \"47712\": \"could the chipmunks eat it all in one sitting?\"\n },\n {\n \"47713\": \"what did he see another chipmunk doing?\"\n },\n {\n \"47714\": \"was he planting something?a\"\n },\n {\n \"47715\": \"did chip figure out why?\"\n },\n {\n \"47716\": \"what did he realize?\"\n },\n {\n \"47717\": \"did his mom mention winter?\"\n },\n {\n \"47718\": \"did he stand on a see saw or did he sit on it?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"47705\",\n \"answer\": \"She clapped at everyone.\"\n },\n {\n \"question_id\": \"47706\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47707\",\n \"answer\": \"The winter.\"\n },\n {\n \"question_id\": \"47708\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"47709\",\n \"answer\": \"Stuffing melons up into the holes in the tree.\"\n },\n {\n \"question_id\": \"47710\",\n \"answer\": \"Food.\"\n },\n {\n \"question_id\": \"47711\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47712\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47713\",\n \"answer\": \"Digging in the ground and stuffing more food there.\"\n },\n {\n \"question_id\": \"47714\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"47715\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"47716\",\n \"answer\": \"Winter is coming!\"\n },\n {\n \"question_id\": \"47717\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"47718\",\n \"answer\": \"He sat.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Saturday when the entire summer world was bright and fresh. Tom looked at the fence, which was long and high, feeling all enthusiasm leaving him. He dipped his brush into the whitewash before moving it along the top board of the fence. He knew other boys would arrive soon with all minds of interesting plans for this day. As walking past him, they would tease him for having to work on a beautiful Saturday--which burnt him like fire. \n\nHe, putting his hands into his pockets and taking out all he owned with the expectation of letting someone paint, found nothing that could buy half an hour of freedom. At this dark and hopeless moment, a wonderful idea occurred to him, pouring a great bright light into his mind. He took up his brush and continued to work pleasantly with calm and quietness. \n\nPresently, Ben Rogers came in sight--munching an apple and making joyful noises like the sound of a riverboat as he walked along. Tom went on whitewashing, paying no attention to the steamboat. \"Hello!\" Ben said, \"I'm going swimming, but you can't go, can you?\" \n\nNo answer. Tom moved his brush gently along the fence and surveyed the result. Ben came nearer. Tom's mouth watered for Ben's apple while he kept painting the fence. \n\nBen said, \"That's a lot of work, isn't it?\" \n\nTom turned suddenly saying \"Here you are! Ben! I didn't notice you.\" \n\n\"I'm going swimming,\" Ben said. \"Don't you wish you could go? Or would you rather work?\" Tom said, \"Work? What do you mean 'work'?\" \n\n\"Isn't that work?\" Tom continued painting and answered carelessly, \"Maybe it is, and maybe it isn't. All I know is it suits Tom Sawyer.\" \n\n\"Do you mean that you enjoy it?\" \n\n\"I don't see why I oughtn't to enjoy it.\" \n\n\"Does a boy have a chance to paint a fence frequently\" said Tom. \n\nBen stopped munching his apple. \n\nTom moved his brush back and forth--stepped back to note the effect--added a little paint here and there. Ben watched every move, getting more and more interested, more and more absorbed. After a short time, he said, \"Tom, let me whitewash a little.\" \n\nTom seemed to be thinking for a moment before he said, \"No, Aunt Polly wants this fence to be perfect. If it was the back fence, maybe you could do it. But this fence beside the street is where everybody can see it. It has to be done right.\" \n\n\"Oh, come on, let me try. I'll be careful. Listen, Tom. I'll give you part of my apple if you let me paint.\" \"No, Ben, I'm afraid--\" \"I'll give you all the apple!\" \n\nTom handed the brush to Ben with unwillingness on his face but _ in his heart. While the riverboat worked and sweated in the hot sun, Tom, an artist sat in the shade close by, munching his apple, and planning how he could trick more of the boys. \n\nBefore long there were enough boys each of whom came along the street; stopped to laugh but soon begged to be allowed to paint. By the middle of the afternoon, Tom had got many treasures while the fence had had three layers of whitewash on it. If he hadn't run out of whitewash, he would have owned everything belonging to the boys in the village. \n\nTom said to himself that the world was not so depressing after all. He had discovered a great law of human action: in order to make a man cover a thing, it is only necessary to make the thing difficult to attain.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82343\": \"what was Tom's plan?\"\n },\n {\n \"82344\": \"what would the boys do as they walked past?\"\n },\n {\n \"82345\": \"for what?\"\n },\n {\n \"82346\": \"did it bother him?\"\n },\n {\n \"82347\": \"how badly?\"\n },\n {\n \"82348\": \"who was the first boy to approach?\"\n },\n {\n \"82349\": \"what was he eating?\"\n },\n {\n \"82350\": \"where was he headed?\"\n },\n {\n \"82351\": \"did tom convince him painting was fun?\"\n },\n {\n \"82352\": \"did Ben want to paint?\"\n },\n {\n \"82353\": \"did Tom let him?\"\n },\n {\n \"82354\": \"in exchange for what?\"\n },\n {\n \"82355\": \"Did other boys want to paint?\"\n },\n {\n \"82356\": \"did they give Tom items too?\"\n },\n {\n \"82357\": \"how many layers of paint were there?\"\n },\n {\n \"82358\": \"why did the boys stop painting?\"\n },\n {\n \"82359\": \"what had Tom discovered?\"\n },\n {\n \"82360\": \"what was that?\"\n },\n {\n \"82361\": \"were the boys tricked?\"\n },\n {\n \"82362\": \"what did he take from his pockets?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82343\",\n \"answer\": \"letting someone paint\"\n },\n {\n \"question_id\": \"82344\",\n \"answer\": \"tease him\"\n },\n {\n \"question_id\": \"82345\",\n \"answer\": \"having to work on a beautiful Saturday\"\n },\n {\n \"question_id\": \"82346\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82347\",\n \"answer\": \"burnt him like fire\"\n },\n {\n \"question_id\": \"82348\",\n \"answer\": \"Ben Rogers\"\n },\n {\n \"question_id\": \"82349\",\n \"answer\": \"an apple\"\n },\n {\n \"question_id\": \"82350\",\n \"answer\": \"swimming\"\n },\n {\n \"question_id\": \"82351\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82352\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82353\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82354\",\n \"answer\": \"his apple\"\n },\n {\n \"question_id\": \"82355\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82356\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82357\",\n \"answer\": \"three\"\n },\n {\n \"question_id\": \"82358\",\n \"answer\": \"he ran out of whitewash\"\n },\n {\n \"question_id\": \"82359\",\n \"answer\": \"a great law of human action\"\n },\n {\n \"question_id\": \"82360\",\n \"answer\": \"in order to make a man cover a thing, it is only necessary to make the thing difficult to attain\"\n },\n {\n \"question_id\": \"82361\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"82362\",\n \"answer\": \"all he owned\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Mexico City, or the City of Mexico (Spanish: Ciudad de México audio (help·info) American Spanish: [sjuˈða(ð) ðe ˈméxiko]; abbreviated as \"CDMX\"), is the capital of Mexico. As an \"alpha\" global city, Mexico City is one of the most important financial centers in the Americas. It is located in the Valley of Mexico (Valle de México), a large valley in the high plateaus at the center of Mexico, at an altitude of 2,240 metres (7,350 ft). The city consists of sixteen municipalities (previously called boroughs). \n\nThe Greater Mexico City has a gross domestic product (GDP) of US$411 billion in 2011, making Mexico City urban agglomeration one of the economically largest metropolitan areas in the world. The city was responsible for generating 15.8% of Mexico's Gross Domestic Product and the metropolitan area accounted for about 22% of total national GDP. As a stand-alone country, in 2013, Mexico City would be the fifth-largest economy in Latin America—five times as large as Costa Rica's and about the same size as Peru's.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69570\": \"How much money is domestically made each year?\"\n },\n {\n \"69571\": \"Which year specifically?\"\n },\n {\n \"69572\": \"Where at?\"\n },\n {\n \"69573\": \"Is it a small suburb?\"\n },\n {\n \"69574\": \"What percent of the country's money did it make?\"\n },\n {\n \"69575\": \"What about the metro?\"\n },\n {\n \"69576\": \"Is it a 'beta' place?\"\n },\n {\n \"69577\": \"What is it then?\"\n },\n {\n \"69578\": \"Is it found on a mountain?\"\n },\n {\n \"69579\": \"Where then?\"\n },\n {\n \"69580\": \"How high?\"\n },\n {\n \"69581\": \"Is it unimportant financially?\"\n },\n {\n \"69582\": \"How many smaller parts is the broken into?\"\n },\n {\n \"69583\": \"What are they named?\"\n },\n {\n \"69584\": \"Did they used to have a different name?\"\n },\n {\n \"69585\": \"What was it?\"\n },\n {\n \"69586\": \"Is it the 2nd largest money maker in Latino territory?\"\n },\n {\n \"69587\": \"Then what is it?\"\n },\n {\n \"69588\": \"Where is it equal to?\"\n },\n {\n \"69589\": \"Where is it bigger than?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69570\",\n \"answer\": \"US$411 billion\"\n },\n {\n \"question_id\": \"69571\",\n \"answer\": \"2011\"\n },\n {\n \"question_id\": \"69572\",\n \"answer\": \"Greater Mexico City\"\n },\n {\n \"question_id\": \"69573\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69574\",\n \"answer\": \"15.8%\"\n },\n {\n \"question_id\": \"69575\",\n \"answer\": \"about 22%\"\n },\n {\n \"question_id\": \"69576\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69577\",\n \"answer\": \"alpha\"\n },\n {\n \"question_id\": \"69578\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69579\",\n \"answer\": \"Valley of Mexico\"\n },\n {\n \"question_id\": \"69580\",\n \"answer\": \"2,240 metres\"\n },\n {\n \"question_id\": \"69581\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69582\",\n \"answer\": \"sixteen\"\n },\n {\n \"question_id\": \"69583\",\n \"answer\": \"municipalities\"\n },\n {\n \"question_id\": \"69584\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"69585\",\n \"answer\": \"boroughs\"\n },\n {\n \"question_id\": \"69586\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"69587\",\n \"answer\": \"Mexico City would be the fifth-largest economy in Latin America\"\n },\n {\n \"question_id\": \"69588\",\n \"answer\": \"Peru\"\n },\n {\n \"question_id\": \"69589\",\n \"answer\": \"Costa Rica\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Clay Wanner began to gather a group of architects in Las Vegas a few years ago,to ask them what it would take to design a public school that used 50 percent less energy, cost much less to build and obviously improved student learning. \"I think half of them fell off their chairs, \" Wanner says. \n\nWanner manages school facilities for Clark County, Nevada,a district roughly the size of Massachusetts. By 2018,143,000 additional students will enter the already crowded public education system. Wanner needs 73 new schools to house them. Four architecture teams have nearly finished designing primary school prototypes ;they plan to construct their schools starting in 2009. The district will then assess how well the schools perform, and three winners will copy those designs in 50 to 70 new buildings. \n\nGreen schools are appearing all over, but in Clark County,which stands out for its vastness, such aggressive targets are difficult because design requirements like more natural light for students go against the realities of a desert climate. \"One of the biggest challenges is getting the right site orientation ,\" Mark McGinty, a director at SH Architecture, says. His firm recently completed a high school in Las Vegas. \"You have the same building, same set of windows, but if its orientation is incorrect and it faces the sun, it will be really expensive to cool.\" \n\nSurprisingly, the man who is responsible for one of the most progressive green-design competitions has doubts about ideas of eco-friendly buildings. \"I don't believe in the new green religion,\" Wanner says.\"Some of the building technologies that you get are impractical. I'm interested in those that work. \"But he wouldn't mind if some green features inspire students. He says he hopes to set up green energy systems that allow them to learn about the process of harvesting wind and solar power. \"You never know what's going to start the interest of a child to study math and science,\"he says.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"72231\": \"What kind of people did Clay Wanner gather?\"\n },\n {\n \"72232\": \"Where did he gather them\"\n },\n {\n \"72233\": \"How much less energy did he want the schools to use?\"\n },\n {\n \"72234\": \"What does Wanner manage?\"\n },\n {\n \"72235\": \"Where are the facilities he manages?\"\n },\n {\n \"72236\": \"How many schools does Wanner need for the new students coming in?\"\n },\n {\n \"72237\": \"How many new students are needing to be housed by these schools?\"\n },\n {\n \"72238\": \"What design requirement goes against the realities of the area's climate?\"\n },\n {\n \"72239\": \"Does Wanner believe wholeheartedly in eco-friendly technologies?\"\n },\n {\n \"72240\": \"What types of power harvesting does he wish to inspire the stuidents to learn more about?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"72231\",\n \"answer\": \"architects\"\n },\n {\n \"question_id\": \"72232\",\n \"answer\": \"Las Vegas\"\n },\n {\n \"question_id\": \"72233\",\n \"answer\": \"50 percent\"\n },\n {\n \"question_id\": \"72234\",\n \"answer\": \"school facilities\"\n },\n {\n \"question_id\": \"72235\",\n \"answer\": \"Clark County\"\n },\n {\n \"question_id\": \"72236\",\n \"answer\": \"73\"\n },\n {\n \"question_id\": \"72237\",\n \"answer\": \"143,000\"\n },\n {\n \"question_id\": \"72238\",\n \"answer\": \"more natural light for students\"\n },\n {\n \"question_id\": \"72239\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"72240\",\n \"answer\": \"harvesting wind\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER II. \n\nAN ADVENTURE AT GIB \n\nIt was on the 1st of February, 1854, that the \"Falcon\" sailed from Portsmouth for the East, and ten days later she dropped her anchor at Gibraltar harbor. Jack Archer was by this time thoroughly at home. In the week's hard work during the preparation for sea at Portsmouth, he had learned as much of the names of the ropes, and the various parts of the ship, as he would have done in a couple of months at sea, and had become acquainted with his new ship-mates. So great had been the pressure of work, that he had escaped much of the practical joking to which a new-comer on board ship, as at school, is generally subject. \n\nHe had for comrades four midshipmen; one of these, Simmons, had already nearly served his time, and was looking forward to the war as giving him a sure promotion; two others, Delafield and Hawtry, had already served for two or three years at sea, although only a year or so older than Jack, while the fourth, Herbert Coveney, was a year younger, and was, like Jack, a new hand. There were also in the berth two master's mates, young men of from twenty to two-and-twenty. With all of these Jack, with his high spirits, good-tempered face, merry laugh, soon became a favorite. \n\nDuring the first two days at sea he had suffered the usual agonies from sea-sickness. But before reaching Gibraltar he had got his sea-legs and was regularly doing duty, being on the watch of the second lieutenant, Mr. Pierson. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"80874\": \"When did the Falcon first sail?\"\n },\n {\n \"80875\": \"How long was the trip?\"\n },\n {\n \"80876\": \"Where was Jack?\"\n },\n {\n \"80877\": \"Who were his aquaintances?\"\n },\n {\n \"80878\": \"What were they preparing for?\"\n },\n {\n \"80879\": \"Who had almost served their full time already?\"\n },\n {\n \"80880\": \"what did he want out of the war?\"\n },\n {\n \"80881\": \"Have Delafield and Hawtry served nearly the same amount of time?\"\n },\n {\n \"80882\": \"Who was like Jack?\"\n },\n {\n \"80883\": \"Did he suffer sea-sickness?\"\n },\n {\n \"80884\": \"What was the second lieutenants name?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"80874\",\n \"answer\": \"To the East\"\n },\n {\n \"question_id\": \"80875\",\n \"answer\": \"Ten days\"\n },\n {\n \"question_id\": \"80876\",\n \"answer\": \"At home\"\n },\n {\n \"question_id\": \"80877\",\n \"answer\": \"Four midshipmen\"\n },\n {\n \"question_id\": \"80878\",\n \"answer\": \"For sea at Portsmouth\"\n },\n {\n \"question_id\": \"80879\",\n \"answer\": \"Simmons\"\n },\n {\n \"question_id\": \"80880\",\n \"answer\": \"A promotion\"\n },\n {\n \"question_id\": \"80881\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80882\",\n \"answer\": \"Herbert Coveney\"\n },\n {\n \"question_id\": \"80883\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"80884\",\n \"answer\": \"Mr. Pierson.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Most students, when asked about their ideal graduation gift, would probably reply, \"A car\", or \"Money for a deposit on a house\". Cai Kaiyuan, 21, made a different choice. As a graduation gift to himself, he decided to work as a volunteer teacher in a remote village in Tibet. \n\nCai, a senior majoring in electrical engineering at Huan Railway Professional Technology College, originally planned to cycle from Sichuan to Tibet. During his journey, Cai's idea for a different graduation gift to himself began to take shape. \"I did not know beforehand what the journey would mean to me. I just want to gain a unique experience and have pleasure in appreciating the view there,\" he said. \n\nIt turned out cycling on a plateau was extremely challenging. And it has kept changing his outlook on life. Cai's fingers even became frostbitten while cycling up a 5008-meter-high mountain, where temperatures often dropped to 18 below zero. At night, the ice covered the road and he fell off his bike three times. The lack of oxygen made him feel dizzy and weak. \"At the most serious moment, I felt that my life was _ ,\" said Cai. \n\nHowever, he also gained something unexpected. At Ya'an, a city in Sichuan, he met a group of tourists who are also university students. A girl called Wu Ling told him that she planned to work as a teacher in a primary school in Tibet after her journey. He was impressed by the idea as she looked slender and weak. \n\nIt was not until he reached a family-run hotel in Shigatse that Cai's spirits began to rise. The hotel manager's two daughters enjoyed talking with him. The kids asked about his experiences on his trip, and showed him the beautiful local lakes. \"They told me that they always liked to talk to guests, as they wanted to improve their Mandarin,\" he said, \"Their parents and many locals can only speak Tibetan.\" \n\nCai was touched by the girls' story. Their situation is tough and the local people have little chance to learn Mandarin because the schools are short of teachers. \"I want to do something to improve the situation for kids like them,\" said Cai. His parents finally gave their agreement and his teachers also supported him.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85038\": \"What is the name of the first person mentioned?\"\n },\n {\n \"85039\": \"Did he want a car for a gift?\"\n },\n {\n \"85040\": \"What did he decide?\"\n },\n {\n \"85041\": \"Where?\"\n },\n {\n \"85042\": \"What female did he meet along the way?\"\n },\n {\n \"85043\": \"Did she have a goal?\"\n },\n {\n \"85044\": \"What was it?\"\n },\n {\n \"85045\": \"What physical observation did he have about her?\"\n },\n {\n \"85046\": \"So he didn't think much of her then?\"\n },\n {\n \"85047\": \"Did he have a near-death experience?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85038\",\n \"answer\": \"Cai Kaiyuan\"\n },\n {\n \"question_id\": \"85039\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85040\",\n \"answer\": \"to work as a volunteer teacher\"\n },\n {\n \"question_id\": \"85041\",\n \"answer\": \"Tibet.\"\n },\n {\n \"question_id\": \"85042\",\n \"answer\": \"Wu Ling\"\n },\n {\n \"question_id\": \"85043\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85044\",\n \"answer\": \"to work as a teacher\"\n },\n {\n \"question_id\": \"85045\",\n \"answer\": \"she looked slender and weak.\"\n },\n {\n \"question_id\": \"85046\",\n \"answer\": \"He was impressed by the idea\"\n },\n {\n \"question_id\": \"85047\",\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 Uganda ( or ), officially the Republic of Uganda, is a landlocked country in East Africa. It is bordered to the east by Kenya, to the north by South Sudan, to the west by the Democratic Republic of the Congo, to the south-west by Rwanda, and to the south by Tanzania. The southern part of the country includes a substantial portion of Lake Victoria, shared with Kenya and Tanzania. Uganda is in the African Great Lakes region. Uganda also lies within the Nile basin, and has a varied but generally a modified equatorial climate. \n\nUganda takes its name from the Buganda kingdom, which encompasses a large portion of the south of the country, including the capital Kampala. The people of Uganda were hunter-gatherers until 1,700 to 2,300 years ago, when Bantu-speaking populations migrated to the southern parts of the country. \n\nBeginning in 1894, the area was ruled as a protectorate by the British, who established administrative law across the territory. Uganda gained independence from Britain on 9 October 1962. The period since then has been marked by intermittent conflicts, including a lengthy civil war against the Lord's Resistance Army in the Northern Region, which has caused hundreds of thousands of casualties.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"34964\": \"What is the offical name of Uganda?\"\n },\n {\n \"34965\": \"Where does it take it's name from?\"\n },\n {\n \"34966\": \"What lake is a large part of in the sourthern portion of the country?\"\n },\n {\n \"34967\": \"When were the people of Uganda hunter Gatherers till?\"\n },\n {\n \"34968\": \"When did it gain it's independence from the Btitish?\"\n },\n {\n \"34969\": \"What other countries share portions of Lake Victoria?\"\n },\n {\n \"34970\": \"What country borders it to the north?\"\n },\n {\n \"34971\": \"When did it start being ruled by the British?\"\n },\n {\n \"34972\": \"What is Uganda's capital?\"\n },\n {\n \"34973\": \"What basin is the country part of?\"\n },\n {\n \"34974\": \"and what type of climate does it have?\"\n },\n {\n \"34975\": \"What has marked the country since it's independence from Britian?\"\n },\n {\n \"34976\": \"Who was it that migrated to the southern part of the country 1,700 to 2,300 years ago?\"\n },\n {\n \"34977\": \"What lake region is Uganda in?\"\n },\n {\n \"34978\": \"Who borders Uganda to the west?\"\n },\n {\n \"34979\": \"and to the east?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"34964\",\n \"answer\": \"Republic of Uganda.\"\n },\n {\n \"question_id\": \"34965\",\n \"answer\": \"The Buganda kingdom.\"\n },\n {\n \"question_id\": \"34966\",\n \"answer\": \"Lake Victoria.\"\n },\n {\n \"question_id\": \"34967\",\n \"answer\": \"1,700 to 2,300 years ago\"\n },\n {\n \"question_id\": \"34968\",\n \"answer\": \"9 October 1962.\"\n },\n {\n \"question_id\": \"34969\",\n \"answer\": \"Kenya and Tanzania.\"\n },\n {\n \"question_id\": \"34970\",\n \"answer\": \"South Sudan\"\n },\n {\n \"question_id\": \"34971\",\n \"answer\": \"1894\"\n },\n {\n \"question_id\": \"34972\",\n \"answer\": \"Kampala\"\n },\n {\n \"question_id\": \"34973\",\n \"answer\": \"The Nile basin,\"\n },\n {\n \"question_id\": \"34974\",\n \"answer\": \"a modified equatorial climate.\"\n },\n {\n \"question_id\": \"34975\",\n \"answer\": \"conflicts\"\n },\n {\n \"question_id\": \"34976\",\n \"answer\": \"Bantu-speaking populations\"\n },\n {\n \"question_id\": \"34977\",\n \"answer\": \"African Great Lakes region.\"\n },\n {\n \"question_id\": \"34978\",\n \"answer\": \"Democratic Republic of the Congo\"\n },\n {\n \"question_id\": \"34979\",\n \"answer\": \"Kenya\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 bipartisan group of women senators waded into the ongoing drama over the NFL, Ray Rice and domestic violence. \n\nThey sent a letter to NFL Commissioner Roger Goodell calling on the football league to institute a \"real zero-tolerance policy\" in such cases. \n\nThe 16 signatories wrote that they were \"shocked and disgusted\" by the in-elevator video that surfaced of Ray Rice punching his then-fianceé in an elevator, and they pointed to the allegation that the NFL had possession of the video, which became public Monday, when it handed down its original lenient two-game suspension. \n\n\"The NFL's current policy sends a terrible message to players, fans and all Americans that even after committing a horrific act of violence, you can quickly be back on the field,\" the senators wrote. \n\nThe NFL recently changed its domestic violence punishment to a minimum suspension of six games for a first offense and a lifetime time ban for a second offense. \n\n\"If you violently assault a woman, you shouldn't get a second chance to play football in the NFL,\" the senators wrote. \n\nSen. Richard Blumenthal, D-Connecticut, recently told CNN that he would not \"rule out\" congressional action to force the NFL's hand on domestic abuse. \n\nKey events in the Ray Rice episode \n\nEx-FBI director to investigate Ray Rice case \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68989\": \"What did the NFL change it's domestic violence punishment to for a first offense?\"\n },\n {\n \"68990\": \"And for a second offense?\"\n },\n {\n \"68991\": \"Who sent a letter to the NFL Commissioner?\"\n },\n {\n \"68992\": \"What did they ask for in domestic violence cases?\"\n },\n {\n \"68993\": \"Which player was caught on a video that upset the senators?\"\n },\n {\n \"68994\": \"What he seen doing in it?\"\n },\n {\n \"68995\": \"What kind of punishment did Price get for that incident?\"\n },\n {\n \"68996\": \"Do the senators feel that the punishment sends a bad message?\"\n },\n {\n \"68997\": \"That players can do something like Price did, and what?\"\n },\n {\n \"68998\": \"Do the senators think a player should get another chance to play if he commits domestic violence?\"\n },\n {\n \"68999\": \"How many signatures did the senators get on their letter?\"\n },\n {\n \"69000\": \"Are the senators partisan or bipartisan?\"\n },\n {\n \"69001\": \"Who had possession of the Price video?\"\n },\n {\n \"69002\": \"Who is the NFL Commissioner?\"\n },\n {\n \"69003\": \"Which senator told a news organization that congressional action was possible on the matter?\"\n },\n {\n \"69004\": \"What state does he represent?\"\n },\n {\n \"69005\": \"Is he a Democrat or Republican?\"\n },\n {\n \"69006\": \"Which station did he tell that to?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68989\",\n \"answer\": \"to a minimum suspension of six games\"\n },\n {\n \"question_id\": \"68990\",\n \"answer\": \"a lifetime time ban\"\n },\n {\n \"question_id\": \"68991\",\n \"answer\": \"A bipartisan group of women senators\"\n },\n {\n \"question_id\": \"68992\",\n \"answer\": \"to institute a \\\"real zero-tolerance policy\\\"\"\n },\n {\n \"question_id\": \"68993\",\n \"answer\": \"Ray Rice\"\n },\n {\n \"question_id\": \"68994\",\n \"answer\": \"punching his then-fiance\\u00e9 in an elevator\"\n },\n {\n \"question_id\": \"68995\",\n \"answer\": \"a two-game suspension\"\n },\n {\n \"question_id\": \"68996\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"68997\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"68998\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"68999\",\n \"answer\": \"16\"\n },\n {\n \"question_id\": \"69000\",\n \"answer\": \"bipartisan\"\n },\n {\n \"question_id\": \"69001\",\n \"answer\": \"allegedly the NFL\"\n },\n {\n \"question_id\": \"69002\",\n \"answer\": \"Roger Goodell\"\n },\n {\n \"question_id\": \"69003\",\n \"answer\": \"Sen. Richard Blumenthal\"\n },\n {\n \"question_id\": \"69004\",\n \"answer\": \"Connecticut\"\n },\n {\n \"question_id\": \"69005\",\n \"answer\": \"he is a Democrat\"\n },\n {\n \"question_id\": \"69006\",\n \"answer\": \"CNN\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n On the bus, on the subway, every head is lowered to a cell phone, iPad, or other digital device. But does this mean more and more people are getting into reading the digital way? According to the National Reading Survey, before the 17thWorld Reading Day on April 23, only 1.2 percent of Chinese people said they read a lot. But 38.6 percent said they read on digital devices like cell phone and e-books. This is a 17.7 percent increase from 2010. Many experts are talking about a trend toward fragmented reading --reading many short messages or items on a digital device like a cell phone instead of one long text in a book. Zhao jianmin, a professor at Shanghai University, said fragmented reading was part of modern life. \"The fast _ of life leaves many people no time to sit and read a whole book,\" he said. \"So making use of fragmented time to read is sure to be a trend\" Fragmented reading has its advantages. People can enjoy large amounts of information, knowledge and entertainment in a short time. Digital reading is faster than traditional deep reading. However, some experts fear the trend of digital reading will lead people to read in a simple way. Xu Guosheng, at a Chinese Academy of Press and Publication, says fragmented reading makes it harder for people to think more about what they read. He also warned fragmented reading could make people lazy about remembering facts because they know they can always just search for answers online. \"Fragmented reading is sometimes good, but don't let it take all your time,\" suggested Tian Zhilng, an editor. He said it was important to read quality books in a deeper way, and we should read for knowledge, for practical use and for pleasure. He suggested people choose easy books first, then move onto more difficult ones.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82285\": \"Who was the editor?\"\n },\n {\n \"82286\": \"What does he suggest reading first?\"\n },\n {\n \"82287\": \"And then what?\"\n },\n {\n \"82288\": \"How many Chinese people read a lot of books?\"\n },\n {\n \"82289\": \"How many on digital devices?\"\n },\n {\n \"82290\": \"How much did this percentage grow since 2010?\"\n },\n {\n \"82291\": \"What is fragmented?\"\n },\n {\n \"82292\": \"Who is the professor?\"\n },\n {\n \"82293\": \"Where?\"\n },\n {\n \"82294\": \"Where does Xu work?\"\n },\n {\n \"82295\": \"What happened on April 23rd?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82285\",\n \"answer\": \"Tian Zhilng\"\n },\n {\n \"question_id\": \"82286\",\n \"answer\": \"Easy books\"\n },\n {\n \"question_id\": \"82287\",\n \"answer\": \"More difficult ones.\"\n },\n {\n \"question_id\": \"82288\",\n \"answer\": \"1.2 percent.\"\n },\n {\n \"question_id\": \"82289\",\n \"answer\": \"38.6 percent\"\n },\n {\n \"question_id\": \"82290\",\n \"answer\": \"17.7 percent\"\n },\n {\n \"question_id\": \"82291\",\n \"answer\": \"reading short messages or items on a digital device\"\n },\n {\n \"question_id\": \"82292\",\n \"answer\": \"Zhao jianmin\"\n },\n {\n \"question_id\": \"82293\",\n \"answer\": \"Shanghai University\"\n },\n {\n \"question_id\": \"82294\",\n \"answer\": \"at a Chinese Academy of Press and Publication,\"\n },\n {\n \"question_id\": \"82295\",\n \"answer\": \"the 17th World Reading Day\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XI. HEROES AND HERO-WORSHIP \n\n\n\nNothing of him that doth fade, But doth suffer a sea-change Into something rich and strange.-—Tempest. \n\nSunday morning found Anna in a different frame of mind from that of the evening before. Uncle Clement had been very ill all night, and the house was to be kept as quiet as possible. When Anna came in from early Celebration, Aunt Cherry came out looking like a ghost, and very anxious, and gave a sigh of relief on Adrian being reported still sound asleep. Gerald presently came down, pale and languid, but calling himself all right, and loitering over his breakfast till after the boy appeared, so rosy and ravenous as to cause no apprehension, except that he should devour too much apricot jam, and use his new boots too noisily on the stairs. \n\nAnna devised walking him to Beechcroft to hear if there were any news of Fergus, and though he observed, with a certain sound of contemptuous rivalship, that there was no need, for \"Merrifield was as right as a trivet,\" he was glad enough to get out of doors a little sooner, and though he affected to be bored by the kind inquiries of the people they met, he carried his head all the higher for them. \n\nNobody was at home except General Mohun, but he verified Adrian's impression of his nephew's soundness, whatever the mysterious comparison might mean; and asked rather solicitously not only after Mr. Underwood but after Gerald, who, he said, was a delicate subject to have made such exertions. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"93968\": \"what chapter is this ?\"\n },\n {\n \"93969\": \"anna was waiting from news from who ?\"\n },\n {\n \"93970\": \"who was home with the general ?\"\n },\n {\n \"93971\": \"\\\"Nothing of him that doth fade\\\" was said by who ?\"\n },\n {\n \"93972\": \"who was is a different state of mind ?\"\n },\n {\n \"93973\": \"was it on monday ?\"\n },\n {\n \"93974\": \"what day ?\"\n },\n {\n \"93975\": \"from the morning before ?\"\n },\n {\n \"93976\": \"what time of day ?\"\n },\n {\n \"93977\": \"who was sick ?\"\n },\n {\n \"93978\": \"where did anna go for news ?\"\n },\n {\n \"93979\": \"whos inpression was verified ?\"\n },\n {\n \"93980\": \"of who ?\"\n },\n {\n \"93981\": \"nephews what ?\"\n },\n {\n \"93982\": \"who looked like a ghost ?\"\n },\n {\n \"93983\": \"what else was going on with her feelings ?\"\n },\n {\n \"93984\": \"who was still sleep ?\"\n },\n {\n \"93985\": \"who was pale ?\"\n },\n {\n \"93986\": \"who was rosy ?\"\n },\n {\n \"93987\": \"was the house to be loud ?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"93968\",\n \"answer\": \"XI\"\n },\n {\n \"question_id\": \"93969\",\n \"answer\": \"Fergus\"\n },\n {\n \"question_id\": \"93970\",\n \"answer\": \"Nobody\"\n },\n {\n \"question_id\": \"93971\",\n \"answer\": \"Tempest\"\n },\n {\n \"question_id\": \"93972\",\n \"answer\": \"Anna\"\n },\n {\n \"question_id\": \"93973\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93974\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"93975\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"93976\",\n \"answer\": \"evening\"\n },\n {\n \"question_id\": \"93977\",\n \"answer\": \"Uncle Clement\"\n },\n {\n \"question_id\": \"93978\",\n \"answer\": \"Beechcroft\"\n },\n {\n \"question_id\": \"93979\",\n \"answer\": \"Adrian's\"\n },\n {\n \"question_id\": \"93980\",\n \"answer\": \"nephew's\"\n },\n {\n \"question_id\": \"93981\",\n \"answer\": \"soundness\"\n },\n {\n \"question_id\": \"93982\",\n \"answer\": \"Aunt Cherry\"\n },\n {\n \"question_id\": \"93983\",\n \"answer\": \"very anxious\"\n },\n {\n \"question_id\": \"93984\",\n \"answer\": \"Adrian\"\n },\n {\n \"question_id\": \"93985\",\n \"answer\": \"Gerald\"\n },\n {\n \"question_id\": \"93986\",\n \"answer\": \"boy\"\n },\n {\n \"question_id\": \"93987\",\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 Reggie Hilaire was a rookie cop on September 11, 2001. He worked at ground zero for 11 days beside his colleagues -- many of them, including Hilaire, not wearing a mask. He was later assigned to a landfill in Staten Island, where debris from the World Trade Center was dumped. \n\nFor about 60 days between 2001 and 2002, the New York police officer was surrounded by dust. \n\nIn 2005, Hilaire was diagnosed with thyroid cancer. He underwent surgery and radiation. Just months later his doctor told him he also had multiple myeloma, a blood cancer that multiplies the body's plasma cells to dangerous levels. \n\nIt's a cancer that usually strikes much later in life. Hilaire was 34. \n\nMore than 1,100 people who worked or lived near the World Trade Center on 9/11 have been diagnosed with cancer, according to the Centers for Disease Control and Prevention. \n\nA few months ago Hilaire received a letter from the CDC's National Institute for Occupational Safety and Health, officially offering him medical insurance under the World Trade Center Health Program. About 1,140 people have been certified to receive cancer treatment under the WTC Health Program, a representative told CNN. \n\nThese are the first numbers released since the program was expanded a year ago. \n\nIn September 2012, federal health authorities added 58 types of cancer to the list of covered illnesses for people who were exposed to toxins at the site of the World Trade Center in the aftermath of the 9/11 attacks. \n\nDr. John Howard, administrator of the WTC Health Program, had said the year before that cancer treatments would not be covered by the compensation fund. At the time, he said there was inadequate \"published scientific and medical findings\" to link 9/11 exposures to cancer. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36754\": \"when did Hilaire find out she had cancer?\"\n },\n {\n \"36755\": \"what kind?\"\n },\n {\n \"36756\": \"how old was he?\"\n },\n {\n \"36757\": \"is this a normal age for this cancer?\"\n },\n {\n \"36758\": \"what was his job?\"\n },\n {\n \"36759\": \"was he a veteran in 2001?\"\n },\n {\n \"36760\": \"what state did he work in?\"\n },\n {\n \"36761\": \"did he work at ground zero?\"\n },\n {\n \"36762\": \"where did he work later?\"\n },\n {\n \"36763\": \"how long did he work ground zero?\"\n },\n {\n \"36764\": \"what did he get a few months after his diagnosis?\"\n },\n {\n \"36765\": \"from who?\"\n },\n {\n \"36766\": \"how many people have gotten treatment from them?\"\n },\n {\n \"36767\": \"who runs this WTC health program?\"\n },\n {\n \"36768\": \"who is the administrator?\"\n },\n {\n \"36769\": \"did he always think 9/11 caused cancer?\"\n },\n {\n \"36770\": \"how many types do they recognize now?\"\n },\n {\n \"36771\": \"when did they add them?\"\n },\n {\n \"36772\": \"how many people have gotten cancer related to 9/11?\"\n },\n {\n \"36773\": \"what else does Hilaire suffer from?\"\n },\n {\n \"36774\": \"what does this do to him?\"\n },\n {\n \"36775\": \"how long did he work in the dust?\"\n },\n {\n \"36776\": \"did he wear a mask?\"\n },\n {\n \"36777\": \"why wasnt cancer treatments always covered?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36754\",\n \"answer\": \"In 2005\"\n },\n {\n \"question_id\": \"36755\",\n \"answer\": \"thyroid cancer\"\n },\n {\n \"question_id\": \"36756\",\n \"answer\": \"34\"\n },\n {\n \"question_id\": \"36757\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36758\",\n \"answer\": \"He was a rookie cop\"\n },\n {\n \"question_id\": \"36759\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36760\",\n \"answer\": \"New York\"\n },\n {\n \"question_id\": \"36761\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"36762\",\n \"answer\": \"A landfill\"\n },\n {\n \"question_id\": \"36763\",\n \"answer\": \"11 days\"\n },\n {\n \"question_id\": \"36764\",\n \"answer\": \"He received a letter.\"\n },\n {\n \"question_id\": \"36765\",\n \"answer\": \"From the CDC's National Institute for Occupational Safety and Health\"\n },\n {\n \"question_id\": \"36766\",\n \"answer\": \"1,140\"\n },\n {\n \"question_id\": \"36767\",\n \"answer\": \"The federal health authorities\"\n },\n {\n \"question_id\": \"36768\",\n \"answer\": \"Dr. John Howard\"\n },\n {\n \"question_id\": \"36769\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36770\",\n \"answer\": \"58\"\n },\n {\n \"question_id\": \"36771\",\n \"answer\": \"September 2012\"\n },\n {\n \"question_id\": \"36772\",\n \"answer\": \"1,100\"\n },\n {\n \"question_id\": \"36773\",\n \"answer\": \"multiple myeloma\"\n },\n {\n \"question_id\": \"36774\",\n \"answer\": \"It multiplies the body's plasma cells to dangerous levels\"\n },\n {\n \"question_id\": \"36775\",\n \"answer\": \"For about 60 days\"\n },\n {\n \"question_id\": \"36776\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"36777\",\n \"answer\": \"There was inadequate \\\"published scientific and medical findings\\\" to link 9/11 exposures to cancer\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Diaoyu Dao and its affiliated islands, which consist of(...)Diaoyu Dao, Huangwei Yu, Chiwei Yu, Nanxiao Dao, Beixiao Dao, Nan Yu, Bei Yu, Fei Yu and other islands, are in the northeast of China's Taiwan Island, in the waters between 123deg20'-124deg40'E and 25deg40'-26deg00'N . They belong to the Taiwan Island. The total area of these islands is about 5.69 square kilometers. Diaoyu Dao, in the western tip of the area, covers an area of about 3.91 square kilometers and is the largest island in the area. The highest part on the island stands 362 meters above the sea level. Huangwei Yu, which is about 27 kilometers to the northeast of Diaoyu Dao, is the second largest island in the area, with a total area of about 0.91 square kilometers and a highest height of 117 meters. Chiwei Yu, about 110 kilometers to the northeast of Diaoyu Dao, is the easternmost island in the area. It covers an area of about 0.065 square kilometers and stands 75 meters above the sea level. Ancient ancestors in China first discovered and named Diaoyu Dao through their fishing activities on the sea. In China's historical books, Diaoyu Dao is also called Diaoyu Yu or Diaoyu Tai. The earliest historical record of the names of Diaoyu Dao, Chiwei Yu and other places can be found in the book Voyage with a Tail Wind published in 1403. It shows that China had already discovered and named Diaoyu Dao by the 14th and 15th centuries. These historical reports clearly show that Diaoyu Dao and Chiwei Yu belong to China. The sea waters around Diaoyu Dao is traditionally Chinese fishing ground. Chinese fishermen have been involved in fishing activities in these waters for generations .\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"99511\": \"Where are the islands located?\"\n },\n {\n \"99512\": \"What do they belong to?\"\n },\n {\n \"99513\": \"How much area do they cover?\"\n },\n {\n \"99514\": \"What is the name of the largest island?\"\n },\n {\n \"99515\": \"Who discovered the islands?\"\n },\n {\n \"99516\": \"What activity did the ancient Chinese do there?\"\n },\n {\n \"99517\": \"What is one other name for Diaoyu Dao\"\n },\n {\n \"99518\": \"what other name?\"\n },\n {\n \"99519\": \"which book is the information found?\"\n },\n {\n \"99520\": \"What is the name of the book?\"\n },\n {\n \"99521\": \"When was it published?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"99511\",\n \"answer\": \"in the northeast of China's Taiwan Island,\"\n },\n {\n \"question_id\": \"99512\",\n \"answer\": \"the Taiwan Island\"\n },\n {\n \"question_id\": \"99513\",\n \"answer\": \"about 5.69 square kilometers\"\n },\n {\n \"question_id\": \"99514\",\n \"answer\": \"Diaoyu Dao\"\n },\n {\n \"question_id\": \"99515\",\n \"answer\": \"Ancient ancestors in Chin\"\n },\n {\n \"question_id\": \"99516\",\n \"answer\": \"fishing\"\n },\n {\n \"question_id\": \"99517\",\n \"answer\": \"Diaoyu Yu\"\n },\n {\n \"question_id\": \"99518\",\n \"answer\": \"Diaoyu Tai\"\n },\n {\n \"question_id\": \"99519\",\n \"answer\": \"In China's historical books\"\n },\n {\n \"question_id\": \"99520\",\n \"answer\": \"Voyage with a Tail Wind\"\n },\n {\n \"question_id\": \"99521\",\n \"answer\": \"1403\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Alex was right next to his close friend when he heard a strange noise. He was afraid of this noise so he built a shield. From behind the shield, Alex had to shout, \"Who is there?\" Then he saw an animal that had a green stripe across its back. Alex was scared. Then the animal stepped into a plate filled with frosting and the animal slipped and fell on the ground. Alex had to be quiet so he could get to the out and to the playground without the animal hearing him. After he was far enough away, Alex started to run very fast. He ran and ran until he finally made it to the playground where he hid for the rest of the day in the sand box. When he felt safe he called his mother and had her pick him up and get away. When his mom got there, Alex said, \"Thank you for coming to get me mom, I was so scared.\" His mom told him, \"You are very welcome Alex. I'm here whenever you need me.\"\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"66009\": \"who was he close to when he heard a noise?\"\n },\n {\n \"66010\": \"and what kind of noise was it?\"\n },\n {\n \"66011\": \"so what did he build?\"\n },\n {\n \"66012\": \"then what did he see?\"\n },\n {\n \"66013\": \"what kind of marking did the animal have on it?\"\n },\n {\n \"66014\": \"What did the animal step in?\"\n },\n {\n \"66015\": \"what did the animal do then?\"\n },\n {\n \"66016\": \"where did he run to to get away?\"\n },\n {\n \"66017\": \"and did the animal hear him?\"\n },\n {\n \"66018\": \"how long did he hide?\"\n },\n {\n \"66019\": \"who did he call to come get him?\"\n },\n {\n \"66020\": \"what did he tell her when she got there?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"66009\",\n \"answer\": \"his close friend\"\n },\n {\n \"question_id\": \"66010\",\n \"answer\": \"strange\"\n },\n {\n \"question_id\": \"66011\",\n \"answer\": \"a shield\"\n },\n {\n \"question_id\": \"66012\",\n \"answer\": \"an animal\"\n },\n {\n \"question_id\": \"66013\",\n \"answer\": \"a green stripe across its back\"\n },\n {\n \"question_id\": \"66014\",\n \"answer\": \"a plate filled with frosting\"\n },\n {\n \"question_id\": \"66015\",\n \"answer\": \"slipped and fell on the ground\"\n },\n {\n \"question_id\": \"66016\",\n \"answer\": \"the playground\"\n },\n {\n \"question_id\": \"66017\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"66018\",\n \"answer\": \"for the rest of the day\"\n },\n {\n \"question_id\": \"66019\",\n \"answer\": \"his mother\"\n },\n {\n \"question_id\": \"66020\",\n \"answer\": \"Thank you for coming to get me mom, I was so scared\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 57. Another Wedding \n\nMr Sownds the beadle, and Mrs Miff the pew-opener, are early at their posts in the fine church where Mr Dombey was married. A yellow-faced old gentleman from India, is going to take unto himself a young wife this morning, and six carriages full of company are expected, and Mrs Miff has been informed that the yellow-faced old gentleman could pave the road to church with diamonds and hardly miss them. The nuptial benediction is to be a superior one, proceeding from a very reverend, a dean, and the lady is to be given away, as an extraordinary present, by somebody who comes express from the Horse Guards. \n\nMrs Miff is more intolerant of common people this morning, than she generally is; and she his always strong opinions on that subject, for it is associated with free sittings. Mrs Miff is not a student of political economy (she thinks the science is connected with dissenters; 'Baptists or Wesleyans, or some o' them,' she says), but she can never understand what business your common folks have to be married. 'Drat 'em,' says Mrs Miff 'you read the same things over 'em' and instead of sovereigns get sixpences!' \n\nMr Sownds the beadle is more liberal than Mrs Miff--but then he is not a pew-opener. 'It must be done, Ma'am,' he says. 'We must marry 'em. We must have our national schools to walk at the head of, and we must have our standing armies. We must marry 'em, Ma'am,' says Mr Sownds, 'and keep the country going.' \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"36796\": \"Where is everyone?\"\n },\n {\n \"36797\": \"Are they late?\"\n },\n {\n \"36798\": \"What is one of their jobs?\"\n },\n {\n \"36799\": \"Who\\u2019s is that?\"\n },\n {\n \"36800\": \"And another one?\"\n },\n {\n \"36801\": \"What is his?\"\n },\n {\n \"36802\": \"What is happening that day?\"\n },\n {\n \"36803\": \"Where is the man from?\"\n },\n {\n \"36804\": \"Is he young?\"\n },\n {\n \"36805\": \"What about the lady?\"\n },\n {\n \"36806\": \"Is this a fancy wedding?\"\n },\n {\n \"36807\": \"Why?\"\n },\n {\n \"36808\": \"Is the man poor?\"\n },\n {\n \"36809\": \"What annoys the pew lady?\"\n },\n {\n \"36810\": \"A little bit?\"\n },\n {\n \"36811\": \"What does it make her think of?\"\n },\n {\n \"36812\": \"Does she read scientific things?\"\n },\n {\n \"36813\": \"Is she understanding of poor people getting married?\"\n },\n {\n \"36814\": \"What do you you get from them?\"\n },\n {\n \"36815\": \"Does the other man feel the same?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"36796\",\n \"answer\": \"church\"\n },\n {\n \"question_id\": \"36797\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36798\",\n \"answer\": \"pew-opener\"\n },\n {\n \"question_id\": \"36799\",\n \"answer\": \"Mrs Miff\"\n },\n {\n \"question_id\": \"36800\",\n \"answer\": \"Mr Sownds\"\n },\n {\n \"question_id\": \"36801\",\n \"answer\": \"beadle\"\n },\n {\n \"question_id\": \"36802\",\n \"answer\": \"A marriage\"\n },\n {\n \"question_id\": \"36803\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"36804\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36805\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36806\",\n \"answer\": \"YEs.\"\n },\n {\n \"question_id\": \"36807\",\n \"answer\": \"The nuptial benediction is to be a superior one\"\n },\n {\n \"question_id\": \"36808\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36809\",\n \"answer\": \"common people\"\n },\n {\n \"question_id\": \"36810\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36811\",\n \"answer\": \"free sittings\"\n },\n {\n \"question_id\": \"36812\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"36813\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"36814\",\n \"answer\": \"sixpences\"\n },\n {\n \"question_id\": \"36815\",\n \"answer\": \"No.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- It was tense, nerve-shredding, prime-time viewing. \n\nNo, not the new series of \"Boardwalk Empire,\" but a soccer match with 31 penalties. \n\nTuesday's English League Cup match between Liverpool and second division Middlesbrough was a marathon encounter which finally came to a conclusion at 10:42pm local time -- almost three hours after it had kicked off. \n\nLevel at 1-1 after 90 minutes at Liverpool's Anfield stadium and locked together at 2-2 after two hours of play, the two teams began a record-breaking penalty shootout. \n\nAfter all 11 players on both teams -- including the two goalkeepers -- had taken a spot kick, only two penalties had been missed. \n\nAs a result, with the score in the shootout level at 10-10, the first penalty takers had to go again. \n\nThe success both teams enjoyed from 12 yards made for a surreal spectacle, with Liverpool striker Mario Balotelli letting a wry smile slip when he converted for the second time in the shootout. \n\nBut, as always in these heartbreaking football deciders, there has to be a fall guy. \n\nThat was Middlesbrough's Albert Adomah, who sliced his penalty wide of the goal to give Liverpool the win. \n\nThe final score in the shootout was 14-13, with both teams having taken 15 penalties each. \n\nWhen you include the penalty scored by Middlesbrough substitute Patrick Bamford to make the score 2-2 in the dying moments of extratime, there was a grand total of 31 spot kicks in an extraordinary match -- a competition record. \n\n\"I don't have words to explain my feelings now,\" Middlesbrough manager, and former Real Madrid No. 2, Aitor Karanka remarked after the match. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"17998\": \"Who played in the match?\"\n },\n {\n \"17999\": \"What sport is this?\"\n },\n {\n \"18000\": \"Was it a championship game?\"\n },\n {\n \"18001\": \"On what day was the game?\"\n },\n {\n \"18002\": \"Were there a lot of penalties?\"\n },\n {\n \"18003\": \"How many?\"\n },\n {\n \"18004\": \"What time did the game end?\"\n },\n {\n \"18005\": \"About how long did they play for?\"\n },\n {\n \"18006\": \"Who won the match?\"\n },\n {\n \"18007\": \"Who missed the last kick?\"\n },\n {\n \"18008\": \"How far were they kicking from?\"\n },\n {\n \"18009\": \"Did anyone make more than one penalty kick?\"\n },\n {\n \"18010\": \"Who?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"17998\",\n \"answer\": \"Liverpool and Middlesbrough\"\n },\n {\n \"question_id\": \"17999\",\n \"answer\": \"soccer\"\n },\n {\n \"question_id\": \"18000\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"18001\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"18002\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18003\",\n \"answer\": \"31\"\n },\n {\n \"question_id\": \"18004\",\n \"answer\": \"10:42pm local time\"\n },\n {\n \"question_id\": \"18005\",\n \"answer\": \"two hours\"\n },\n {\n \"question_id\": \"18006\",\n \"answer\": \"Liverpool\"\n },\n {\n \"question_id\": \"18007\",\n \"answer\": \"Middlesbrough's Albert Adomah\"\n },\n {\n \"question_id\": \"18008\",\n \"answer\": \"12 yards\"\n },\n {\n \"question_id\": \"18009\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"18010\",\n \"answer\": \"the first penalty takers\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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) -- Did we almost lose Bono? \n\nThe rear hatch of the aircraft taking the U2 lead singer from Dublin to Berlin was missing when the aircraft landed at Berlin Schonefeld Airport on Wednesday. \n\nBesides Bono (whose real name is Paul Hewson), there were two pilots and four other passengers on board, according to Germout Freitag, an official with the German Federal Bureau of Aircraft Accident Investigation. \n\nU2 is scheduled to perform Thursday at the Bambi Awards, Germany's version of the Emmys. Other members of the band were traveling separately. \n\nThe ground crew discovered that the hatch was missing shortly after the aircraft landed at 12:26 a.m., 11 minutes after it blew off, Freitag said. \n\nBono apologizes for free iTunes album \n\n\"The ground crew realized the door was gone and two suitcases had fallen out,\" Freitag said. \n\n\"Officials have not yet located the two suitcases or the hatch door, but they have been able to pinpoint the area where they are likely to have landed by the radar.\" \n\nThe bureau has started in an investigation into the incident's cause. \n\n\"The investigation will take at least six to eight weeks and will be greatly hampered if the door is not located,\" Freitag said. \n\nWhile officials \"have no idea at the moment what caused this and need to examine both the door and the area of the plane,\" Freitag said he believes the rear hatch was not properly closed. \n\n\"This sort of thing is not common.\" \n\nBono didn't seem fazed by the midair scare. A short time later, he met with Walter Lindner, Germany's special representative on Ebola. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"41031\": \"Who was almost lost?\"\n },\n {\n \"41032\": \"How was he missing?\"\n },\n {\n \"41033\": \"Who was all aboard?\"\n },\n {\n \"41034\": \"Is Bono apart of a band?\"\n },\n {\n \"41035\": \"What is his role?\"\n },\n {\n \"41036\": \"Where was they headed?\"\n },\n {\n \"41037\": \"To do what?\"\n },\n {\n \"41038\": \"What was bono apologetic for?\"\n },\n {\n \"41039\": \"What was officials looking for?\"\n },\n {\n \"41040\": \"Will they have to investigate?\"\n },\n {\n \"41041\": \"How long will that be?\"\n },\n {\n \"41042\": \"Do they know what happened?\"\n },\n {\n \"41043\": \"What do he think happened?\"\n },\n {\n \"41044\": \"What was Bono ending reaction to this?\"\n },\n {\n \"41045\": \"Who did he meet with?\"\n },\n {\n \"41046\": \"Who is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"41031\",\n \"answer\": \"Bono\"\n },\n {\n \"question_id\": \"41032\",\n \"answer\": \"He wasn't missing.\"\n },\n {\n \"question_id\": \"41033\",\n \"answer\": \"Bono, two pilots, and 4 passengers.\"\n },\n {\n \"question_id\": \"41034\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"41035\",\n \"answer\": \"Lead Singer.\"\n },\n {\n \"question_id\": \"41036\",\n \"answer\": \"Berlin\"\n },\n {\n \"question_id\": \"41037\",\n \"answer\": \"To perform.\"\n },\n {\n \"question_id\": \"41038\",\n \"answer\": \"The free iTines album.\"\n },\n {\n \"question_id\": \"41039\",\n \"answer\": \"The hatch door.\"\n },\n {\n \"question_id\": \"41040\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"41041\",\n \"answer\": \"Six to eight weeks.\"\n },\n {\n \"question_id\": \"41042\",\n \"answer\": \"No.\"\n },\n {\n \"question_id\": \"41043\",\n \"answer\": \"The rear hatch was not properly closed.\"\n },\n {\n \"question_id\": \"41044\",\n \"answer\": \"Unfazed.\"\n },\n {\n \"question_id\": \"41045\",\n \"answer\": \"Walter Lindner\"\n },\n {\n \"question_id\": \"41046\",\n \"answer\": \"Representative on Ebola.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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\nTun work in the ironing-room slipped off, but the three days until Wednesday night were very long. She hummed over the fancy starch that flew under the iron at an astounding rate. \n\n\"I can't see how you do it,\" Mary admired. \"You'll make thirteen or fourteen this week at that rate.\" \n\nSaxon laughed, and in the steam from the iron she saw dancing golden letters that spelled WEDNESDAY. \n\n\"What do you think of Billy?\" Mary asked. \n\n\"I like him,\" was the frank answer. \n\n\"Well, don't let it go farther than that.\" \n\n\"I will if I want to,\" Saxon retorted gaily. \n\n\"Better not,\" came the warning. \"You'll only make trouble for yourself. He ain't marryin'. Many a girl's found that out. They just throw themselves at his head, too.\" \n\n\"I'm not going to throw myself at him, or any other man.\" \n\n\"Just thought I'd tell you,\" Mary concluded. \"A word to the wise.\" \n\nSaxon had become grave. \n\n\"He's not... not...\" she began, than looked the significance of the question she could not complete. \n\n\"Oh, nothin' like that--though there's nothin' to stop him. He's straight, all right, all right. But he just won't fall for anything in skirts. He dances, an' runs around, an' has a good time, an' beyond that--nitsky. A lot of 'em's got fooled on him. I bet you there's a dozen girls in love with him right now. An' he just goes on turnin' 'em down. There was Lily Sanderson--you know her. You seen her at that Slavonic picnic last summer at Shellmound--that tall, nice-lookin' blonde that was with Butch Willows?\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"51602\": \"What was the woman doing to cause her high wages?\"\n },\n {\n \"51603\": \"Who liked Billy?\"\n },\n {\n \"51604\": \"Was Mary happy about that?\"\n },\n {\n \"51605\": \"What type did she say he wasn't?\"\n },\n {\n \"51606\": \"How many females were probably after him?\"\n },\n {\n \"51607\": \"How many were in love with him now?\"\n },\n {\n \"51608\": \"Was there one in particular?\"\n },\n {\n \"51609\": \"Had Saxon seen her prior?\"\n },\n {\n \"51610\": \"Where?\"\n },\n {\n \"51611\": \"When?\"\n },\n {\n \"51612\": \"Was it at a specific location?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"51602\",\n \"answer\": \"ironing\"\n },\n {\n \"question_id\": \"51603\",\n \"answer\": \"Saxon\"\n },\n {\n \"question_id\": \"51604\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"51605\",\n \"answer\": \"throwing type\"\n },\n {\n \"question_id\": \"51606\",\n \"answer\": \"A lot of 'em's\"\n },\n {\n \"question_id\": \"51607\",\n \"answer\": \"dozen\"\n },\n {\n \"question_id\": \"51608\",\n \"answer\": \"Lily Sanderson\"\n },\n {\n \"question_id\": \"51609\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"51610\",\n \"answer\": \"at Slavonic picnic\"\n },\n {\n \"question_id\": \"51611\",\n \"answer\": \"last summer\"\n },\n {\n \"question_id\": \"51612\",\n \"answer\": \"yes at Shellmound\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Everyone has a family name. My name is Jane Armstrong. Armstrong is my family name. What does Armstrong mean ? Does it mean my arms are strong? But I am a slim girl. I don't like strong arms. My best friend is Lucy Long. Is she a long or a tall girl? No, she isn't. She is short. But she has long hair. Some family names come from jobs. My cousin's name is James Cook. Does it mean he can cook? No, he can't. And he doesn't like cooking at all. He only likes eating nice food. And he likes the TV show A Bite Of China (<<>> ), because it is all about nice food. Some people get family names from places. Ann Hill is my classmate. Is there a hill near her home? Yes, there is one behind her home. But her uncle, Tom Hill, lives 20 kilometers from a hill.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"44072\": \"What does everyone have\"\n },\n {\n \"44073\": \"who is slim\"\n },\n {\n \"44074\": \"what doesn't girl like\"\n },\n {\n \"44075\": \"what are strong\"\n },\n {\n \"44076\": \"who is best friend\"\n },\n {\n \"44077\": \"who is short\"\n },\n {\n \"44078\": \"what is long\"\n },\n {\n \"44079\": \"what comes from jobs\"\n },\n {\n \"44080\": \"who is cousin\"\n },\n {\n \"44081\": \"can he cook\"\n },\n {\n \"44082\": \"what does he like eating\"\n },\n {\n \"44083\": \"what show does he like\"\n },\n {\n \"44084\": \"what is show about\"\n },\n {\n \"44085\": \"who is classmate\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"44072\",\n \"answer\": \"family name\"\n },\n {\n \"question_id\": \"44073\",\n \"answer\": \"girl.\"\n },\n {\n \"question_id\": \"44074\",\n \"answer\": \"strong arms\"\n },\n {\n \"question_id\": \"44075\",\n \"answer\": \"arms.\"\n },\n {\n \"question_id\": \"44076\",\n \"answer\": \"Lucy Long\"\n },\n {\n \"question_id\": \"44077\",\n \"answer\": \"She\"\n },\n {\n \"question_id\": \"44078\",\n \"answer\": \"hair\"\n },\n {\n \"question_id\": \"44079\",\n \"answer\": \"family names\"\n },\n {\n \"question_id\": \"44080\",\n \"answer\": \"James Cook\"\n },\n {\n \"question_id\": \"44081\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"44082\",\n \"answer\": \"nice food\"\n },\n {\n \"question_id\": \"44083\",\n \"answer\": \"A Bite Of China\"\n },\n {\n \"question_id\": \"44084\",\n \"answer\": \"nice food\"\n },\n {\n \"question_id\": \"44085\",\n \"answer\": \"Ann Hill\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER VII. \n\nNEW LODGINGS. \n\nDan was so eager to see the new lodgings that he could not wait with any degree of patience until Seth had fully satisfied himself regarding certain matters connected with the leasing of them, but insisted on setting out at once, and his partner felt obliged to accompany him. \n\nArriving at the address given them by 'Lish Davis, they found affairs exactly as he had stated. \n\nThe room which had been offered at such a low rental was in the attic of an old-fashioned, pitch-roof house, and although it was not such an apartment as could readily have been let to adults, to the boys it appeared as the acme of comfort and even luxury. \n\nMrs. Hanson, the mistress of the dwelling, had provided a fairly good bed for the lodgers, and the clothing on it looked so rest-inviting that Dan declared that it was hard to resist the temptation to \"turn in\" at once. \n\nThere were two chairs, a rude stand on which were a water-pitcher and a basin, a small mirror, and an old table. \n\nThe window boasted of a curtain; but the floor was carpetless, save for two well-worn rugs. \n\nDan, fearing lest Seth might refuse to hire this very swell apartment because of the suspicion that some of Ninety-four's men had agreed to pay a certain portion of the rental in order that it might be offered at an exceedingly low price, promptly announced his willingness to take the room, and when this had been done it seemed to Master Bartlett as if he was in duty bound to ratify the bargain. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"33648\": \"Who was eager?\"\n },\n {\n \"33649\": \"What was he eager to see?\"\n },\n {\n \"33650\": \"What was he waiting on?\"\n },\n {\n \"33651\": \"What did he insist on?\"\n },\n {\n \"33652\": \"Who was his partner?\"\n },\n {\n \"33653\": \"Who gave them the address?\"\n },\n {\n \"33654\": \"How did they find things when they got there?\"\n },\n {\n \"33655\": \"Where was the room?\"\n },\n {\n \"33656\": \"How did the place look to them?\"\n },\n {\n \"33657\": \"Who was the leader of the place?\"\n },\n {\n \"33658\": \"What did she provide for them?\"\n },\n {\n \"33659\": \"How did the clothes on it look?\"\n },\n {\n \"33660\": \"What did he say was hard resisting?\"\n },\n {\n \"33661\": \"How many seats were there?\"\n },\n {\n \"33662\": \"What was on the stand?\"\n },\n {\n \"33663\": \"Was the looking glass big?\"\n },\n {\n \"33664\": \"Was the table old?\"\n },\n {\n \"33665\": \"Was there carpet?\"\n },\n {\n \"33666\": \"What was there in place of carpet?\"\n },\n {\n \"33667\": \"What did he fear?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"33648\",\n \"answer\": \"Dan\"\n },\n {\n \"question_id\": \"33649\",\n \"answer\": \"new lodgings\"\n },\n {\n \"question_id\": \"33650\",\n \"answer\": \"certain matters\"\n },\n {\n \"question_id\": \"33651\",\n \"answer\": \"setting out\"\n },\n {\n \"question_id\": \"33652\",\n \"answer\": \"Seth\"\n },\n {\n \"question_id\": \"33653\",\n \"answer\": \"'Lish Davis\"\n },\n {\n \"question_id\": \"33654\",\n \"answer\": \"exactly as stated\"\n },\n {\n \"question_id\": \"33655\",\n \"answer\": \"attic\"\n },\n {\n \"question_id\": \"33656\",\n \"answer\": \"comfortable and luxurious\"\n },\n {\n \"question_id\": \"33657\",\n \"answer\": \"Mrs. Hanson\"\n },\n {\n \"question_id\": \"33658\",\n \"answer\": \"a good bed\"\n },\n {\n \"question_id\": \"33659\",\n \"answer\": \"rest-inviting\"\n },\n {\n \"question_id\": \"33660\",\n \"answer\": \"to turn in\"\n },\n {\n \"question_id\": \"33661\",\n \"answer\": \"two\"\n },\n {\n \"question_id\": \"33662\",\n \"answer\": \"water-pitcher\"\n },\n {\n \"question_id\": \"33663\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33664\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"33665\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"33666\",\n \"answer\": \"rugs\"\n },\n {\n \"question_id\": \"33667\",\n \"answer\": \"Seth might refuse the apartment\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In a big forest lived a fox named Manny. He was having a fun morning. Dad had given him a cookie as a snack and it was yummy! Now he was wandering through the woods, looking for an adventure. After a little bit he came across a frog sitting on a log. They looked at each other, but did not say anything. Manny spoke first. \"Hi there, my name is Manny and I'm a fox. Who are you?\" The frog on the log didn't answer at first. He finally said, \"My name is Tony and I'm a frog. My brother could beat you up.\" Manny was very surprised to hear this. First, why would a frog's brother want to fight him? Second, how could some little frog beat him up? Manny told Tony he didn't think he would want to fight his brother because he would hurt him. Tony jumped off the log and hopped away, shouting over his shoulder, \"You're a liar! My brother can beat up anyone!\" As the frog went away, Manny was very confused. He didn't want to hurt anyone's feelings, but the frog was sad because of what Manny said. Manny also did not like to be called a liar, so he ran after the frog. He soon found out that Tony's brother was not from the same mother. His brother was a brown bear named Greg. After taking a good look at Greg, Manny said yes, Greg could beat up anyone he chose. After that day all three of them became close friends.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"85854\": \"Was the forest big?\"\n },\n {\n \"85855\": \"What is the fox who lived there's name?\"\n },\n {\n \"85856\": \"What time of day was it?\"\n },\n {\n \"85857\": \"What did his dad give him as a snack?\"\n },\n {\n \"85858\": \"Did he enjoy it?\"\n },\n {\n \"85859\": \"When he wandered through the woods what was he looking for?\"\n },\n {\n \"85860\": \"Who did he meet?\"\n },\n {\n \"85861\": \"What was his name?\"\n },\n {\n \"85862\": \"Did the frog say something mean to him?\"\n },\n {\n \"85863\": \"What did he say?\"\n },\n {\n \"85864\": \"Did manny want to fight?\"\n },\n {\n \"85865\": \"Why not?\"\n },\n {\n \"85866\": \"Did the frog agree?\"\n },\n {\n \"85867\": \"What did he say about it?\"\n },\n {\n \"85868\": \"did the frog go away?\"\n },\n {\n \"85869\": \"What did Manny do?\"\n },\n {\n \"85870\": \"Did he find out anything about his brother?\"\n },\n {\n \"85871\": \"Did they all become friends?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"85854\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85855\",\n \"answer\": \"Manny\"\n },\n {\n \"question_id\": \"85856\",\n \"answer\": \"morning\"\n },\n {\n \"question_id\": \"85857\",\n \"answer\": \"A cookie\"\n },\n {\n \"question_id\": \"85858\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85859\",\n \"answer\": \"an adventure\"\n },\n {\n \"question_id\": \"85860\",\n \"answer\": \"A frog\"\n },\n {\n \"question_id\": \"85861\",\n \"answer\": \"Tony\"\n },\n {\n \"question_id\": \"85862\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"85863\",\n \"answer\": \"My brother could beat you up\"\n },\n {\n \"question_id\": \"85864\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"85865\",\n \"answer\": \"he would hurt him\"\n },\n {\n \"question_id\": \"85866\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"85867\",\n \"answer\": \"You're a liar! My brother can beat up anyone\"\n },\n {\n \"question_id\": \"85868\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"85869\",\n \"answer\": \"ran after the frog\"\n },\n {\n \"question_id\": \"85870\",\n \"answer\": \"he was a brown bear named Greg\"\n },\n {\n \"question_id\": \"85871\",\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 Everyone has his own birthday. People in different countries celebrate their birthdays in different ways. Now here are four people from different countries. They will tell us how they celebrate their birthdays in their countries. Sandy comes from Madrid . She says happily, \"My 21st birthday is on Saturday, and I'm going to go out with some friends. To wish me a happy birthday, they are going to pull on my ear 21 times, once for each year. It's an old custom. Some people pull on the ear just once, but my friends are very traditional.\" Mr. and Mrs. Sato are from Tokyo. Mr. Sato is going to be 60 tomorrow. In Japan, the sixtieth birthday is called Kanreki --it's the beginning of a new life. The color red is for a new life, so we always give something red for a sixtieth birthday. Liu Mei from Beijing feels very excited and tells us, \"Tomorrow is my 16th birthday. It's a special birthday, so we're going to have a family party. Maybe I will get some lucky money from my relatives . My mother is going to cook noodles for a long life.\" Phillip, from Paris, smiles to us, \"I'm going to be thirty next week, so I'm going to invite three very good friends out for dinner. In France, when you have a birthday, you often invite people out.\" How do you usually celebrate your birthday?\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"84551\": \"Who is from Madrid?\"\n },\n {\n \"84552\": \"How old is she going to be?\"\n },\n {\n \"84553\": \"When will she turn 21?\"\n },\n {\n \"84554\": \"Who will she celebrate with?\"\n },\n {\n \"84555\": \"What will they do?\"\n },\n {\n \"84556\": \"Do they have any other unique ways to mark the birthday?\"\n },\n {\n \"84557\": \"Are there any people in the story younger than Sandy?\"\n },\n {\n \"84558\": \"Who?\"\n },\n {\n \"84559\": \"When is her birthday?\"\n },\n {\n \"84560\": \"How old is she now?\"\n },\n {\n \"84561\": \"What will she do tomorrow?\"\n },\n {\n \"84562\": \"With who?\"\n },\n {\n \"84563\": \"Will there be food?\"\n },\n {\n \"84564\": \"What kind?\"\n },\n {\n \"84565\": \"Who will make them?\"\n },\n {\n \"84566\": \"Is there anyone in the story from France?\"\n },\n {\n \"84567\": \"Who?\"\n },\n {\n \"84568\": \"What city is he from?\"\n },\n {\n \"84569\": \"How old is he now?\"\n },\n {\n \"84570\": \"When is his birthday?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"84551\",\n \"answer\": \"Sandy\"\n },\n {\n \"question_id\": \"84552\",\n \"answer\": \"21\"\n },\n {\n \"question_id\": \"84553\",\n \"answer\": \"on Saturday\"\n },\n {\n \"question_id\": \"84554\",\n \"answer\": \"some friends\"\n },\n {\n \"question_id\": \"84555\",\n \"answer\": \"go out\"\n },\n {\n \"question_id\": \"84556\",\n \"answer\": \"they will pull on her ear 21 times\"\n },\n {\n \"question_id\": \"84557\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84558\",\n \"answer\": \"Liu Mei\"\n },\n {\n \"question_id\": \"84559\",\n \"answer\": \"Tomorrow\"\n },\n {\n \"question_id\": \"84560\",\n \"answer\": \"15\"\n },\n {\n \"question_id\": \"84561\",\n \"answer\": \"have a party\"\n },\n {\n \"question_id\": \"84562\",\n \"answer\": \"family\"\n },\n {\n \"question_id\": \"84563\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84564\",\n \"answer\": \"noodles\"\n },\n {\n \"question_id\": \"84565\",\n \"answer\": \"her mother\"\n },\n {\n \"question_id\": \"84566\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"84567\",\n \"answer\": \"Phillip\"\n },\n {\n \"question_id\": \"84568\",\n \"answer\": \"Paris\"\n },\n {\n \"question_id\": \"84569\",\n \"answer\": \"29\"\n },\n {\n \"question_id\": \"84570\",\n \"answer\": \"next week\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n Jeff Corwin is a scientist and writer. He does these jobs with one life goal help save animals and their habitats. His latest book, 100 Heartbeats: The Race to Save Earth's Most Endangered Species. Is a collection of stories about animals on the edge of _ . Corwin recently talked to a reporter. Reporter: How would you describe your job? Corwin: My job is to travel around, look at animals and tell their stories. Reporter : When did you know this is what your wanted to do? Corwin: I knew that when I was 6 years old. My dad was a police officer, and we lived in the city. I really enjoyed the time when I could go to the quiet countryside. One day I saw my very first wild snake and I knew that's what I would do for the rest of my life. I didn't know if I would be a teacher or a zookeeper, but I knew I would have a life connected with nature. Reporter: Why did you write the book? Corwin: We are losing species very fast. _ If we make big changes, we may have the chance to save what remains. Reporter: Is it true that humans are the reason that many of these animals are in danger? Corwin: Human beings have a powerful effect on every other living thing. It's important to make that effect a positive one. ,.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"68817\": \"What is the title of the collection of stories about animals on the edge?\"\n },\n {\n \"68818\": \"Who is Jeff Corwin?\"\n },\n {\n \"68819\": \"What is his goal?\"\n },\n {\n \"68820\": \"Was he 10 when he knew what he wanted to do?\"\n },\n {\n \"68821\": \"Why did her write the book?\"\n },\n {\n \"68822\": \"What did his father do for a job?\"\n },\n {\n \"68823\": \"Did they live in the country?\"\n },\n {\n \"68824\": \"What kind of animal did he see on the day he knew what he would do with his life?\"\n },\n {\n \"68825\": \"What does Corwin say we're losing fast?\"\n },\n {\n \"68826\": \"What should we do to save what remains?\"\n },\n {\n \"68827\": \"What kind of effect does Corwin say humans have on other living things?\"\n },\n {\n \"68828\": \"And what does he say is important?\"\n },\n {\n \"68829\": \"Did Corwin know for sure he'd be a zookeeper or teacher?\"\n },\n {\n \"68830\": \"Who did he recently talk to?\"\n },\n {\n \"68831\": \"What was the reporter's first question?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"68817\",\n \"answer\": \"100 Heartbeats: The Race to Save Earth's Most Endangered Species\"\n },\n {\n \"question_id\": \"68818\",\n \"answer\": \"scientist and writer\"\n },\n {\n \"question_id\": \"68819\",\n \"answer\": \"save animals and their habitats\"\n },\n {\n \"question_id\": \"68820\",\n \"answer\": \"6 years old\"\n },\n {\n \"question_id\": \"68821\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"68822\",\n \"answer\": \"police office\"\n },\n {\n \"question_id\": \"68823\",\n \"answer\": \"city\"\n },\n {\n \"question_id\": \"68824\",\n \"answer\": \"wild snake\"\n },\n {\n \"question_id\": \"68825\",\n \"answer\": \"species\"\n },\n {\n \"question_id\": \"68826\",\n \"answer\": \"big changes\"\n },\n {\n \"question_id\": \"68827\",\n \"answer\": \"powerful\"\n },\n {\n \"question_id\": \"68828\",\n \"answer\": \"make that effect a positive one\"\n },\n {\n \"question_id\": \"68829\",\n \"answer\": \"He didn't know\"\n },\n {\n \"question_id\": \"68830\",\n \"answer\": \"Reporter\"\n },\n {\n \"question_id\": \"68831\",\n \"answer\": \"How would you describe your job?\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (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 \"96687\": \"Who were the candidates?\"\n },\n {\n \"96688\": \"What issue are they trying to come up wit a solution for?\"\n },\n {\n \"96689\": \"What kind of approach does McCain take?\"\n },\n {\n \"96690\": \"is it a technological and scientific approach?\"\n },\n {\n \"96691\": \"what percentage does he want to decrease carbon emissions?\"\n },\n {\n \"96692\": \"by when?\"\n },\n {\n \"96693\": \"how much would that cost?\"\n },\n {\n \"96694\": \"over the course of how long?\"\n },\n {\n \"96695\": \"what tax will he oppose?\"\n },\n {\n \"96696\": \"on who?\"\n },\n {\n \"96697\": \"Is he against SmartMeter technology?\"\n },\n {\n \"96698\": \"what kind of information does it collect?\"\n },\n {\n \"96699\": \"of what?\"\n },\n {\n \"96700\": \"where?\"\n },\n {\n \"96701\": \"What kind of plan does his opponent have?\"\n },\n {\n \"96702\": \"when did he reveal it?\"\n },\n {\n \"96703\": \"where?\"\n },\n {\n \"96704\": \"What will he do if he is elected?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"96687\",\n \"answer\": \"Barack Obama and John McCain\"\n },\n {\n \"question_id\": \"96688\",\n \"answer\": \"energy crisis\"\n },\n {\n \"question_id\": \"96689\",\n \"answer\": \"reduce carbon emissions\"\n },\n {\n \"question_id\": \"96690\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"96691\",\n \"answer\": \"60 percent\"\n },\n {\n \"question_id\": \"96692\",\n \"answer\": \"by 2050\"\n },\n {\n \"question_id\": \"96693\",\n \"answer\": \"30 billion\"\n },\n {\n \"question_id\": \"96694\",\n \"answer\": \"15 years\"\n },\n {\n \"question_id\": \"96695\",\n \"answer\": \"windfall profits tax\"\n },\n {\n \"question_id\": \"96696\",\n \"answer\": \"oil companies\"\n },\n {\n \"question_id\": \"96697\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"96698\",\n \"answer\": \"real-time data\"\n },\n {\n \"question_id\": \"96699\",\n \"answer\": \"electricity use\"\n },\n {\n \"question_id\": \"96700\",\n \"answer\": \"individual homes and businesses\"\n },\n {\n \"question_id\": \"96701\",\n \"answer\": \"comprehensive energy plan\"\n },\n {\n \"question_id\": \"96702\",\n \"answer\": \"Monday\"\n },\n {\n \"question_id\": \"96703\",\n \"answer\": \"Lansing, Michigan\"\n },\n {\n \"question_id\": \"96704\",\n \"answer\": \"direct the full resources of the federal government\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER IX \n\nSunday morning Saxon was beforehand in getting ready, and on her return to the kitchen from her second journey to peep through the front windows, Sarah began her customary attack. \n\n\"It's a shame an' a disgrace the way some people can afford silk stockings,\" she began. \"Look at me, a-toilin' and a-stewin' day an' night, and I never get silk stockings--nor shoes, three pairs of them all at one time. But there's a just God in heaven, and there'll be some mighty big surprises for some when the end comes and folks get passed out what's comin' to them.\" \n\nTom, smoking his pipe and cuddling his youngest-born on his knees, dropped an eyelid surreptitiously on his cheek in token that Sarah was in a tantrum. Saxon devoted herself to tying a ribbon in the hair of one of the little girls. Sarah lumbered heavily about the kitchen, washing and putting away the breakfast dishes. She straightened her back from the sink with a groan and glared at Saxon with fresh hostility. \n\n\"You ain't sayin' anything, eh? An' why don't you? Because I guess you still got some natural shame in you a-runnin' with a prizefighter. Oh, I've heard about your goings-on with Bill Roberts. A nice specimen he is. But just you wait till Charley Long gets his hands on him, that's all.\" \n\n\"Oh, I don't know,\" Tom intervened. \"Bill Roberts is a pretty good boy from what I hear.\" \n\nSaxon smiled with superior knowledge, and Sarah, catching her, was infuriated. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"14070\": \"What day is it?\"\n },\n {\n \"14071\": \"What was Saxon complaining about\"\n },\n {\n \"14072\": \"what else was she complaining about?\"\n },\n {\n \"14073\": \"Who is smoking a pipe?\"\n },\n {\n \"14074\": \"What is he hugging?\"\n },\n {\n \"14075\": \"What is Saxon tying?\"\n },\n {\n \"14076\": \"Who is in the kitchen?\"\n },\n {\n \"14077\": \"What's she doing?\"\n },\n {\n \"14078\": \"washing what?\"\n },\n {\n \"14079\": \"Was she puttinng them away too?\"\n },\n {\n \"14080\": \"Was she mad at Saxton?\"\n },\n {\n \"14081\": \"What does Tom think of Bill Roberts?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"14070\",\n \"answer\": \"Sunday morning\"\n },\n {\n \"question_id\": \"14071\",\n \"answer\": \"the way some people can afford silk stockings\"\n },\n {\n \"question_id\": \"14072\",\n \"answer\": \"a-toilin' and a-stewin' day an' night\"\n },\n {\n \"question_id\": \"14073\",\n \"answer\": \"Tom\"\n },\n {\n \"question_id\": \"14074\",\n \"answer\": \"his youngest-born\"\n },\n {\n \"question_id\": \"14075\",\n \"answer\": \"a ribbon\"\n },\n {\n \"question_id\": \"14076\",\n \"answer\": \"Sarah\"\n },\n {\n \"question_id\": \"14077\",\n \"answer\": \"washing\"\n },\n {\n \"question_id\": \"14078\",\n \"answer\": \"breakfast dishes\"\n },\n {\n \"question_id\": \"14079\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14080\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"14081\",\n \"answer\": \"he's a pretty good boy\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n (CNN) -- Cristiano Ronaldo provided the perfect riposte to FIFA president Sepp Blatter after scoring a hat-trick as Real Madrid beat Sevilla 7-3 on a night when Gareth Bale grabbed his first goals at the Bernabeu. \n\nDays after Blatter had made a bizarre impersonation of the Portuguese while saying the star spent \"a lot of money at the hairdressers\", the 28-year-old scored his third career hat-trick against Sevilla to go top of the scoring charts in Spain with 11 goals. \n\nHe celebrated his first goal from the penalty spot with a military salute in a mocking response to Blatter's description of him as a \"commander\" last week. \n\nThe absorbing victory also allowed Real to put Saturday's defeat by Barcelona behind them, not just because of the three points but also because Bale, the most expensive footballer in history, began to repay some of his fee. \n\nMaking his first start as a home player at the legendary Bernabeu, the Welshman scored twice, made another two and also managed to complete his first 90 minutes in his seventh appearance for Madrid. \n\nDespite Bale's largely anonymous display at Camp Nou, which was blamed on a lack of match practice, Real coach Carlo Ancelotti was wholly vindicated by his decision to keep faith in the 24-year-old, who curled home a fine opener before a free-kick was deflected in as he handed Real a 2-0 lead. \n\nOn a satisfying night for the hosts, for whom substitute Xabi Alonso made his first appearance of the season after injury, Karim Benzema also grabbed a brace as Real moved up to third in the table, six points behind Barca. \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"69522\": \"Who was in charge of FIFA?\"\n },\n {\n \"69523\": \"What position was he?\"\n },\n {\n \"69524\": \"Who won 7 to 3?\"\n },\n {\n \"69525\": \"Who began as a home player at Bernabeu?\"\n },\n {\n \"69526\": \"How many times did he score?\"\n },\n {\n \"69527\": \"How many times did he appear for Madrid?\"\n },\n {\n \"69528\": \"Who coached Real Madrid?\"\n },\n {\n \"69529\": \"Was Bale 25 years old?\"\n },\n {\n \"69530\": \"How old was he?\"\n },\n {\n \"69531\": \"Who was a sub?\"\n },\n {\n \"69532\": \"Was it his first game this year?\"\n },\n {\n \"69533\": \"What position did the team reach?\"\n },\n {\n \"69534\": \"Who was ahead of them?\"\n },\n {\n \"69535\": \"By how much?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"69522\",\n \"answer\": \"Sepp Blatter\"\n },\n {\n \"question_id\": \"69523\",\n \"answer\": \"president\"\n },\n {\n \"question_id\": \"69524\",\n \"answer\": \"Real Madrid\"\n },\n {\n \"question_id\": \"69525\",\n \"answer\": \"Gareth Bale\"\n },\n {\n \"question_id\": \"69526\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"69527\",\n \"answer\": \"Seven\"\n },\n {\n \"question_id\": \"69528\",\n \"answer\": \"Carlo Ancelotti\"\n },\n {\n \"question_id\": \"69529\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"69530\",\n \"answer\": \"24\"\n },\n {\n \"question_id\": \"69531\",\n \"answer\": \"Xabi Alonso\"\n },\n {\n \"question_id\": \"69532\",\n \"answer\": \"Yes\"\n },\n {\n \"question_id\": \"69533\",\n \"answer\": \"third\"\n },\n {\n \"question_id\": \"69534\",\n \"answer\": \"Barca.\"\n },\n {\n \"question_id\": \"69535\",\n \"answer\": \"six points\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n CHAPTER XIV. \n\nA CYPHER AND A TY. \n\n\n\nDolores was coming down to breakfast the next morning when Colonel Mohun's door opened. He exclaimed, 'My little Dolly, good morning!' stooped down and kissed her. \n\nThen, standing still a moment, and holding her hand, he said-- \n\n'Dolly, it was not you I saw at Darminster station?' \n\nIt was a terrible shock. Some one, no doubt, was trying to set him against her. And should she betray Constance and her uncle? At any rate, almost before she knew what she was saying, 'No, Uncle Regie,' was out of her mouth, and her conscience was being answered with 'How do I know it was me that he saw? these fur capes are very common.' \n\n'I thought not,' he answered, kindly. 'Look here, Dolly, I want one word with you. Did your father ever leave anything in charge with you for Mr. Flinders? Did he ever speak to you about him?' \n\n'Never,' Dolores truly answered. \n\n'Because, my dear, though it's a hard thing to say, and your poor mother felt bound to him, he is a slippery fellow--a scamp, in fact, and if ever he writes to you here, you had better send the letter straight off to me, and I'll see what's to be done. He never has, I suppose?' \n\n'No,' said Dolores, answering the word here, and foolishly feeling the involvement too great, and Constance too much concerned in it for her to confess to her uncle what had really happened. Indeed, the first falsehood held her to the second; and there was no more time, for Lord Rotherwood was coming out of his room further down the passage. And after the greetings, as she went downstairs before the two gentlemen, she was sure she heard Uncle Regie say, 'She's all right.' What could it mean? Was a storm averted? or was it brewing? Could that spiteful Aunt Jane and her questions about the weather be at the bottom of it? \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"82505\": \"What was Dolores's aunt's name?\"\n },\n {\n \"82506\": \"What was Dolores's nickname?\"\n },\n {\n \"82507\": \"Who called her that?\\\\\"\n },\n {\n \"82508\": \"What was one thing she lied to him about?\"\n },\n {\n \"82509\": \"What station?\"\n },\n {\n \"82510\": \"Was she actually there?\"\n },\n {\n \"82511\": \"What did her conscience say?\"\n },\n {\n \"82512\": \"What was her excuse for herself?\"\n },\n {\n \"82513\": \"Who was then coming out of his room?\"\n },\n {\n \"82514\": \"What did Dolores call Colonel Mohun?\"\n },\n {\n \"82515\": \"When did she lie to him?\"\n },\n {\n \"82516\": \"What time of day?\"\n },\n {\n \"82517\": \"How did he greet her?\"\n },\n {\n \"82518\": \"Who did Dolores's mom feel tied to?\"\n },\n {\n \"82519\": \"How was Mr. Flinders described?\"\n },\n {\n \"82520\": \"Who else was involved in the lie?\"\n },\n {\n \"82521\": \"What two men went to the first floor together?\"\n },\n {\n \"82522\": \"What was the second lie?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"82505\",\n \"answer\": \"Jane\"\n },\n {\n \"question_id\": \"82506\",\n \"answer\": \"Little Dolly\"\n },\n {\n \"question_id\": \"82507\",\n \"answer\": \"Colonel Mohun\"\n },\n {\n \"question_id\": \"82508\",\n \"answer\": \"being at the station.\"\n },\n {\n \"question_id\": \"82509\",\n \"answer\": \"Darminster station?\"\n },\n {\n \"question_id\": \"82510\",\n \"answer\": \"Yes.\"\n },\n {\n \"question_id\": \"82511\",\n \"answer\": \"How does she know it was her that he saw.\"\n },\n {\n \"question_id\": \"82512\",\n \"answer\": \"Fur capes are common.\"\n },\n {\n \"question_id\": \"82513\",\n \"answer\": \"Lord Rotherwood\"\n },\n {\n \"question_id\": \"82514\",\n \"answer\": \"Uncle Regie\"\n },\n {\n \"question_id\": \"82515\",\n \"answer\": \"Before she knew what she was saying.\"\n },\n {\n \"question_id\": \"82516\",\n \"answer\": \"Morning.\"\n },\n {\n \"question_id\": \"82517\",\n \"answer\": \"Stooped down and kissed her.\"\n },\n {\n \"question_id\": \"82518\",\n \"answer\": \"Mr. Flinders\"\n },\n {\n \"question_id\": \"82519\",\n \"answer\": \"A slippery scamp.\"\n },\n {\n \"question_id\": \"82520\",\n \"answer\": \"Constance.\"\n },\n {\n \"question_id\": \"82521\",\n \"answer\": \"Lord Rotherwood and her uncle.\"\n },\n {\n \"question_id\": \"82522\",\n \"answer\": \"That Mr. Flinders never wrote to her.\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for the source of the analysys. \n All answers will come back in JSON format in the schema that is provided. \n\n <<context>>\n In our city,there is a big zoo. There are a lot of animals in it. Mona is an Australian koala. She is seven years old. She is very cute. She likes sleeping during the day. But at night she gets up and eats leaves. Mona doesn't drink water for months. But she is healthy,because she can get water from the leaves. Here is a big house. A lion lives in it. His name is Gerry. He is ugly. He is from Africa. Meat is his favorite food. Gerry is very lazy. He sleeps and relaxes for 20 hours every day. Today is Gerry's eighth birthday. The workers in the zoo are having a birthday party for him. This is a big elephant. His name is Johnny. He is from India .He's eleven years old. He has bad eyesight .He likes to eat grass. He's friendly and clever. People can teach him to do things for them. Tuantuan is a cute panda. She is five years old. She's from China. She is very beautiful,but she's very shy,so please keep quiet. She likes eating bamboos and drinking water. She relaxes about 10 hours every day.\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"22373\": \"what is the pachyderm called?\"\n },\n {\n \"22374\": \"where is he from?\"\n },\n {\n \"22375\": \"can he see well?\"\n },\n {\n \"22376\": \"is he dumb?\"\n },\n {\n \"22377\": \"who is the marsupial?\"\n },\n {\n \"22378\": \"how old is she?\"\n },\n {\n \"22379\": \"does she run around when the sun is out?\"\n },\n {\n \"22380\": \"why not?\"\n },\n {\n \"22381\": \"what does she consume?\"\n },\n {\n \"22382\": \"when?\"\n },\n {\n \"22383\": \"what animal resides in a home?\"\n },\n {\n \"22384\": \"what is he called?\"\n },\n {\n \"22385\": \"is he attractive?\"\n },\n {\n \"22386\": \"is he from Finland?\"\n },\n {\n \"22387\": \"where is he from?\"\n },\n {\n \"22388\": \"is he very active?\"\n },\n {\n \"22389\": \"why not?\"\n },\n {\n \"22390\": \"what does he do?\"\n },\n {\n \"22391\": \"how long does he do that?\"\n },\n {\n \"22392\": \"how old is he?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"22373\",\n \"answer\": \"Johnny\"\n },\n {\n \"question_id\": \"22374\",\n \"answer\": \"India\"\n },\n {\n \"question_id\": \"22375\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22376\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22377\",\n \"answer\": \"Mona is an Australian koala\"\n },\n {\n \"question_id\": \"22378\",\n \"answer\": \"seven\"\n },\n {\n \"question_id\": \"22379\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22380\",\n \"answer\": \"She likes sleeping during the day\"\n },\n {\n \"question_id\": \"22381\",\n \"answer\": \"leaves\"\n },\n {\n \"question_id\": \"22382\",\n \"answer\": \"at night\"\n },\n {\n \"question_id\": \"22383\",\n \"answer\": \"A lion\"\n },\n {\n \"question_id\": \"22384\",\n \"answer\": \"Gerry\"\n },\n {\n \"question_id\": \"22385\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22386\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22387\",\n \"answer\": \"Africa\"\n },\n {\n \"question_id\": \"22388\",\n \"answer\": \"No\"\n },\n {\n \"question_id\": \"22389\",\n \"answer\": \"he is very lazy\"\n },\n {\n \"question_id\": \"22390\",\n \"answer\": \"He sleeps and relaxes\"\n },\n {\n \"question_id\": \"22391\",\n \"answer\": \"20 hours every day\"\n },\n {\n \"question_id\": \"22392\",\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 JERUSALEM (CNN) -- Israeli troops have completed their withdrawal from Gaza after a three-week military campaign against Hamas militants, the Israel Defense Forces said Wednesday. \n\nPalestinians look at an damaged rocket launcher left behind by Israeli forces. \n\n\"The forces are now redeployed outside the Gaza Strip, and are prepared for any development,\" a military statement read. \n\nDuring their withdrawal, Israeli troops warned Gaza residents to avoid unexploded bombs or shells left behind and report their location to Israeli authorities. \n\nIsrael said it had achieved its goal to halt Hamas' firing of rockets into southern Israel from Gaza. Hamas, the Palestinian militant group that has controlled the territory since 2007, also declared victory in the conflict during a rally in Gaza City on Tuesday. \n\nIsraeli troops began to withdraw Sunday following tentative, separate cease-fire declarations by Israel Prime Minister Ehud Olmert and Hamas. \n\nU.N. Secretary-General Ban Ki-moon, who visited the territory Tuesday, criticized both sides and the international community for what he called their \"collective political failure\" in settling the decades-old Israeli-Palestinian conflict. \n\n\"I have condemned from the outbreak of this conflict the excessive use of force by Israeli forces in Gaza. I view the rocket attacks into Israel as completely unacceptable. We need to restore basic respect for civilians,\" he said. Watch troops prepare to withdraw » \n\nThe conflict, which began December 27, has left more than 1,300 Palestinians and 13 Israelis dead. \n\nConfirmation of the Israeli withdrawal came within a day of the inauguration of Barack Obama as the new president of the United States, replacing George W. Bush, whose administration was among the most supportive of Israel in decades. Ban said he hoped Obama would consider settling the conflict \"a matter of priority.\" \n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"19188\": \"What goal did Israel achieve?\"\n },\n {\n \"19189\": \"Where were the rockets being aimed?\"\n },\n {\n \"19190\": \"From where?\"\n },\n {\n \"19191\": \"Who told the troops to withdraw?\"\n },\n {\n \"19192\": \"What is his title?\"\n },\n {\n \"19193\": \"When were the cease-fire orders announced?\"\n },\n {\n \"19194\": \"How long did the campaign last?\"\n },\n {\n \"19195\": \"What did the troops warn locals to avoid?\"\n },\n {\n \"19196\": \"What should they do if any are found?\"\n },\n {\n \"19197\": \"to who?\"\n },\n {\n \"19198\": \"Did Hamas also claim to have won the conflict?\"\n },\n {\n \"19199\": \"When did they make this statement?\"\n },\n {\n \"19200\": \"During what type of gathering?\"\n },\n {\n \"19201\": \"In what city?\"\n },\n {\n \"19202\": \"Was Ban Ki-moon impressed with the resolution?\"\n },\n {\n \"19203\": \"What is his title?\"\n },\n {\n \"19204\": \"How long had the conflict persisted?\"\n },\n {\n \"19205\": \"Between which two groups?\"\n },\n {\n \"19206\": \"Whose rocket attacks did he find unacceptable?\"\n },\n {\n \"19207\": \"Were there any casualties?\"\n },\n {\n \"19208\": \"On one side, or both sides?\"\n },\n {\n \"19209\": \"Which side suffered more losses?\"\n },\n {\n \"19210\": \"With how many?\"\n },\n {\n \"19211\": \"In contrast to how many Israelis?\"\n },\n {\n \"19212\": \"Which U.S. President supported Israel?\"\n },\n {\n \"19213\": \"Who was he replaced by?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"19188\",\n \"answer\": \"end rocket firing\"\n },\n {\n \"question_id\": \"19189\",\n \"answer\": \"into southern Israel\"\n },\n {\n \"question_id\": \"19190\",\n \"answer\": \"Gaza\"\n },\n {\n \"question_id\": \"19191\",\n \"answer\": \"Ehud Olmert\"\n },\n {\n \"question_id\": \"19192\",\n \"answer\": \"Israel Prime Minister\"\n },\n {\n \"question_id\": \"19193\",\n \"answer\": \"Sunday\"\n },\n {\n \"question_id\": \"19194\",\n \"answer\": \"three weeks\"\n },\n {\n \"question_id\": \"19195\",\n \"answer\": \"unexploded bombs or shells\"\n },\n {\n \"question_id\": \"19196\",\n \"answer\": \"report their location\"\n },\n {\n \"question_id\": \"19197\",\n \"answer\": \"Israeli authorities\"\n },\n {\n \"question_id\": \"19198\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"19199\",\n \"answer\": \"Tuesday\"\n },\n {\n \"question_id\": \"19200\",\n \"answer\": \"a rally\"\n },\n {\n \"question_id\": \"19201\",\n \"answer\": \"Gaza\"\n },\n {\n \"question_id\": \"19202\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"19203\",\n \"answer\": \"U.N. Secretary-General\"\n },\n {\n \"question_id\": \"19204\",\n \"answer\": \"decades\"\n },\n {\n \"question_id\": \"19205\",\n \"answer\": \"Israelis and Palestinians\"\n },\n {\n \"question_id\": \"19206\",\n \"answer\": \"Israeli\"\n },\n {\n \"question_id\": \"19207\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"19208\",\n \"answer\": \"both sides\"\n },\n {\n \"question_id\": \"19209\",\n \"answer\": \"Palestinians\"\n },\n {\n \"question_id\": \"19210\",\n \"answer\": \"more than 1,300\"\n },\n {\n \"question_id\": \"19211\",\n \"answer\": \"13\"\n },\n {\n \"question_id\": \"19212\",\n \"answer\": \"George W. Bush\"\n },\n {\n \"question_id\": \"19213\",\n \"answer\": \"Barack Obama\"\n }\n]\n" } ]
[ { "from": "system", "value": "You are a helpful assistant. You will analyze the data inside the opening and closing <<context>> tags for 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 Michigan man is accused of threatening to behead the police officer who put Eric Garner in a chokehold. \n\nAlvaro Eduardo Guzman-Telles, 29, said in a Facebook post in December he was \"going to personally kill and behead Daniel Pantaleo\" and that \"this is a written threat and has to be taken extremely seriously,\" the FBI alleges in a federal indictment. \n\nHe was arrested last month and faces a charge of interstate transmission of threatening communications, according to the indictment. \n\nPantaleo, a New York City police officer, put Garner in a chokehold while trying to arrest him last July on suspicion of illegally selling cigarettes. Garner died after the encounter, but a grand jury declined in December to indict Pantaleo, sparking large demonstrations across the nation. \n\nGuzman-Telles also allegedly said on Facebook to \"kill all cops on sight. No matter the circumstances.\" \n\nThe New York office of the FBI tracked the social media posts back to an address in Sterling Heights, Michigan, where Guzman-Telles' mother was questioned. She said she was aware of the postings and told her son to delete them for she feared the posts would get him in trouble, the FBI said. \n\n\n <</context>\n" }, { "from": "human", "value": "\n Using the following questions, answer this dataset:\n [\n {\n \"371\": \"Who is Pantaleo?\"\n },\n {\n \"372\": \"who put Garner in a chokehold?\"\n },\n {\n \"373\": \"When did Garner die?\"\n },\n {\n \"374\": \"Why was Garner being arrested?\"\n },\n {\n \"375\": \"Did a jury indict the officer?\"\n },\n {\n \"376\": \"How old is Telles?\"\n },\n {\n \"377\": \"What did he post?\"\n },\n {\n \"378\": \"Who posted on Facebook?\"\n },\n {\n \"379\": \"Did Telles say to kill all cops?\"\n },\n {\n \"380\": \"Where is Telles from?\"\n },\n {\n \"381\": \"When did he post on Facebook?\"\n },\n {\n \"382\": \"Is the FBI involved?\"\n },\n {\n \"383\": \"Did Telles mother advise him?\"\n },\n {\n \"384\": \"Did she agree with her son?\"\n },\n {\n \"385\": \"What is Telles charged with?\"\n },\n {\n \"386\": \"Did Garner\\u2019s case spark protests?\"\n },\n {\n \"387\": \"What did his mother tell him to do?\"\n },\n {\n \"388\": \"What office tracked his posts?\"\n },\n {\n \"389\": \"Was his mother questioned?\"\n }\n]\n" }, { "from": "gpt", "value": "\n [\n {\n \"question_id\": \"371\",\n \"answer\": \"a New York City police officer\"\n },\n {\n \"question_id\": \"372\",\n \"answer\": \"Pantaleo\"\n },\n {\n \"question_id\": \"373\",\n \"answer\": \"last July\"\n },\n {\n \"question_id\": \"374\",\n \"answer\": \"suspicion of illegally selling cigarettes\"\n },\n {\n \"question_id\": \"375\",\n \"answer\": \"no\"\n },\n {\n \"question_id\": \"376\",\n \"answer\": \"29\"\n },\n {\n \"question_id\": \"377\",\n \"answer\": \"going to personally kill and behead Daniel Pantaleo\"\n },\n {\n \"question_id\": \"378\",\n \"answer\": \"Alvaro Eduardo Guzman-Telles\"\n },\n {\n \"question_id\": \"379\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"380\",\n \"answer\": \"Sterling Heights, Michigan\"\n },\n {\n \"question_id\": \"381\",\n \"answer\": \"in December\"\n },\n {\n \"question_id\": \"382\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"383\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"384\",\n \"answer\": \"unknown\"\n },\n {\n \"question_id\": \"385\",\n \"answer\": \"interstate transmission of threatening communications\"\n },\n {\n \"question_id\": \"386\",\n \"answer\": \"yes\"\n },\n {\n \"question_id\": \"387\",\n \"answer\": \"delete them\"\n },\n {\n \"question_id\": \"388\",\n \"answer\": \"The New York office of the FBI\"\n },\n {\n \"question_id\": \"389\",\n \"answer\": \"yes\"\n }\n]\n" } ]

Subsets and Splits

No community queries yet

The top public SQL queries from the community will appear here once available.