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open_qa | [
{
"content": "Why is cricket the most viewed sport in India?",
"role": "user"
},
{
"content": "The history of cricket spans many years. Despite the fact that it is not a local sport, it was somehow passed down by British colonialists who conquered India. \nFrom Kashmir to Kanyakumari, it is a sport that all Indians are passionate about and it will be hard to spot someone who never played the game here. In the world cup finals, Mahendra Singh Dhoni hit a six off the very last ball, which cricket fans will never forget. India currently has won two World Cups and has previously qualified for many pre-final entries. It's also important to note that women's cricket is becoming more and more popular.",
"role": "assistant"
}
]
| Why is cricket the most viewed sport in India? |
general_qa | [
{
"content": "Why is Alien the greatest space horror film of all time?",
"role": "user"
},
{
"content": "For one thing, it does a fantastic job of making the crew of the Nostromo relatable and human. We spend a lot of time with them before any seriously suspenseful or horrific things happen. We understand they're a tight crew, and care about each other, and that they already feel some animosity towards the mining company that sent them out into space. This makes it a lot more scary and sad when eventually most of them become prey to the alien.\n\nSecondly, the main villain in Alien is not only way scarier than almost any other creature villain ever made, the way they build up both her backstory and her eventual full reveal is amazing. When we first see the small chestburster alien, neither we nor the crew have any idea how big, terrifying, and lethal she will become. From her sticky, slick sheen to her cunning and silent hunting skills, she is truly an unstoppable force. If I were trapped on a spaceship with that creature, I don't know what I'd do.\n\nAnd finally, Alien just feels more \"real\" with its universal and timely themes of greed and fear of the unknown. There are numerous actual stories of mining companies betraying their field employees and endangering their lives for a quick buck; isolated teams of workers going crazy, suffering from unseen maladies, and falling into chaos and disarray; and of course, the tale of predator and prey is perhaps the oldest one of all. Its visceral, brutal, claustrophobic terror felt imminently possibly in the 1970s when it was made, and has only increased with time.",
"role": "assistant"
}
]
| Why is Alien the greatest space horror film of all time? |
brainstorming | [
{
"content": "Give me some ideas for what to do for a kids Easter party.",
"role": "user"
},
{
"content": "For a children's Easter party you could have an egg painting competition, or arrange an Easter egg hunt with clues to each egg that the children solve together. Alternatively you could have a costume competition where you provide materials for the children to create Easter themed costumes.",
"role": "assistant"
}
]
| Give me some ideas for what to do for a kids Easter party. |
closed_qa | [
{
"content": "A love hotel is a type of short-stay hotel found around the world operated primarily for the purpose of allowing guests privacy for sexual activities. The name originates from \"Hotel Love\" in Osaka, which was built in 1968 and had a rotating sign. Although love hotels exist all over the world, the term \"love hotel\" is often used to refer specifically to those located within Japan. What is a \"love hotel\"?",
"role": "user"
},
{
"content": "A love hotel is a type of short-stay hotel found around the world operated primarily for the purpose of allowing guests privacy for sexual activities.",
"role": "assistant"
}
]
| A love hotel is a type of short-stay hotel found around the world operated primarily for the purpose of allowing guests privacy for sexual activities. The name originates from "Hotel Love" in Osaka, which was built in 1968 and had a rotating sign. Although love hotels exist all over the world, the term "love hotel" is often used to refer specifically to those located within Japan. What is a "love hotel"? |
classification | [
{
"content": "Classify each of the following as a city or country: Bangkok, India, London, Mexico.",
"role": "user"
},
{
"content": "Bangkok - City, India - Country, London- City, Mexico- Country",
"role": "assistant"
}
]
| Classify each of the following as a city or country: Bangkok, India, London, Mexico. |
creative_writing | [
{
"content": "What is it like being alone in the world after an apocolypse?",
"role": "user"
},
{
"content": "I had always imagined the world would be in chaos or destruction. However, it's the same, just that there are no people. It's eerily quiet. Books are now the only source of \"human connection\" I have. I've never been much of a reader, but I anticipate much of my \"free time\" will be spent reading. I'm also quickly learning how much I relied on others. I knew I relied on others to do many things like farming, electricity, etc., but it goes much deeper and further than that.",
"role": "assistant"
}
]
| What is it like being alone in the world after an apocolypse? |
brainstorming | [
{
"content": "Name five different cuts of beef that I could ask for from a butcher",
"role": "user"
},
{
"content": "There are many popular cuts of beef. Three that you could ask your butcher to prepare are brisket, rib and sirloin.",
"role": "assistant"
}
]
| Name five different cuts of beef that I could ask for from a butcher |
classification | [
{
"content": "Which one of these is a country: Banana, Chicken, Pine tree, or Japan?",
"role": "user"
},
{
"content": "Japan",
"role": "assistant"
}
]
| Which one of these is a country: Banana, Chicken, Pine tree, or Japan? |
open_qa | [
{
"content": "How difficult is it to learn how to water ski?",
"role": "user"
},
{
"content": "For most people, learning how to water ski on two skis is pretty easy, but learning how to single ski is quite difficult. A recommended way to work toward learning how to single ski is to start on two skis, and then learn how to drop a ski. Once you are comfortable dropping a ski, you can then try starting from a single ski, which may take many weeks to learn, as well as require a fair amount of strength and athleticism.",
"role": "assistant"
}
]
| How difficult is it to learn how to water ski? |
open_qa | [
{
"content": "What are the best brunch places in Burlingame, CA?",
"role": "user"
},
{
"content": "Crepevine, Stacks, Coopenhagen, Mints and Honey, Alanas, and Caffe Central.",
"role": "assistant"
}
]
| What are the best brunch places in Burlingame, CA? |
open_qa | [
{
"content": "What is the largest American city by population?",
"role": "user"
},
{
"content": "New York City is the largest US city",
"role": "assistant"
}
]
| What is the largest American city by population? |
open_qa | [
{
"content": "Where does the word cliche come from?",
"role": "user"
},
{
"content": "Cliche comes from the sound old printing presses made when making copies.",
"role": "assistant"
}
]
| Where does the word cliche come from? |
open_qa | [
{
"content": "Name some female characters from \"The X-Files.\"",
"role": "user"
},
{
"content": "Dana Scully, Marita Covarrubias, Melissa Scully, Margaret Scully, Leyla Harrison, Teena Mulder, Samantha Mulder, Diana Fowley, Monica Reyes, Cassandra Spender",
"role": "assistant"
}
]
| Name some female characters from "The X-Files." |
creative_writing | [
{
"content": "What is the best city in Ohio?",
"role": "user"
},
{
"content": "Columbus",
"role": "assistant"
}
]
| What is the best city in Ohio? |
creative_writing | [
{
"content": "Describe the sensation of taking a cold shower and explain the rationale for why someone might take one.",
"role": "user"
},
{
"content": "When you take a shower with very cold water, you throw your body into a temporary state of shock. You feel your skin raise. Your toes may curl a bit. Your eyes may widen. If it is early morning and you're still waking up, you may find that you suddenly feel very alert. \n\nBy leaving a room with a warm and comfortable temperature and entering a space with water produced at a chilly and uncomfortable temperature you actually trick your body. The sudden shift produces alertness that can be beneficial for people who are trying to wake up without caffeine and other stimulants or are otherwise trying to train their bodies to tolerate harsh conditions.",
"role": "assistant"
}
]
| Describe the sensation of taking a cold shower and explain the rationale for why someone might take one. |
classification | [
{
"content": "Classify the following instruments as either brass or woodwind: Alto Saxophone, Trumpet, Clarinet, Oboe, Trombone, Horn, Drums.",
"role": "user"
},
{
"content": "Of the given list, the Alto Saxophone, Clarinet, and Oboe are woodwind instruments because they all generate sound with a reed. Contrarily, the Trumpet, Trombone, and Horn are brass instruments. This family's instruments are made of brass, and the players vibrate their lips to produce a sound. The drum is neither a woodwind nor a brass instrument but part of the percussion instrument family.",
"role": "assistant"
}
]
| Classify the following instruments as either brass or woodwind: Alto Saxophone, Trumpet, Clarinet, Oboe, Trombone, Horn, Drums. |
general_qa | [
{
"content": "What are Jindo dogs like?",
"role": "user"
},
{
"content": "Jindos are extremely loyal, and territorial. Unlike most dogs, Jindos do not play fetch, and rarely bark. They are also very independent, and some would say they march to the beat of their own drum. When meeting strangers they tend to be very reserved, but are highly affectionate to their owners. It is very hard to earn their trust, but once you do Jindos make loving companions.",
"role": "assistant"
}
]
| What are Jindo dogs like? |
classification | [
{
"content": "Classify each of the following countries as either democratic or authoritarian: USA, Russia, China, Sweden, UK.",
"role": "user"
},
{
"content": "According to the Democracy Index, compiled by the Economist Intelligence Unit (EIU) USA, Sweden and UK are fully democratic countries whereas Russia and China belong to authoritarian regimes.",
"role": "assistant"
}
]
| Classify each of the following countries as either democratic or authoritarian: USA, Russia, China, Sweden, UK. |
open_qa | [
{
"content": "In Berkeley, how do parents select their public middle school?",
"role": "user"
},
{
"content": "The Berkeley Unified Public Schools assign children to their middle school based on the location of their home.",
"role": "assistant"
}
]
| In Berkeley, how do parents select their public middle school? |
general_qa | [
{
"content": "What is the difference between men's and women's lacrosse",
"role": "user"
},
{
"content": "Men's lacrosse is a contact sport and the players wear helmets, shoulder pads, chest protection and elbow pads. They also have a position of defense called Long Pole where they can defend from far away. Women's lacrosse does not allow contact between players and the only required equipment is a mouth guard and goggles. Women's lacrosse relies on the shooting space rule to protect players from potential injury instead of requiring them to wear additional equipment. Another difference is the field dimensions. The women’s field is 120 yards long and 70 yards wide, compared to the men’s field, which is slightly smaller at 110 yards long and 60 yards wide. Lastly, men play with 9 field players whereas women play with 11.",
"role": "assistant"
}
]
| What is the difference between men's and women's lacrosse |
open_qa | [
{
"content": "What is the best TV series for Kids?",
"role": "user"
},
{
"content": "I loved to see Small Wonder.",
"role": "assistant"
}
]
| What is the best TV series for Kids? |
closed_qa | [
{
"content": "Drangajökull (pronounced [ˈtrauŋkaˌjœːkʏtl̥], regionally also [ˈtraŋk-]) is the northernmost glacier of Iceland. It is situated southwest of the peninsula Hornstrandir in the Westfjords region. The glacier covers an area of 160–200 km2 (62–77 sq mi), at an altitude of up to 925 m (3,035 ft). It is the only Icelandic glacier which lies entirely below an altitude of 1000 metres and also the only one that has not shrunk in recent years. Given this paragraph about Drangajökull, tell me where it's located.",
"role": "user"
},
{
"content": "Drangajökull is located in Iceland in the Westfjords region.",
"role": "assistant"
}
]
| Drangajökull (pronounced [ˈtrauŋkaˌjœːkʏtl̥], regionally also [ˈtraŋk-]) is the northernmost glacier of Iceland. It is situated southwest of the peninsula Hornstrandir in the Westfjords region. The glacier covers an area of 160–200 km2 (62–77 sq mi), at an altitude of up to 925 m (3,035 ft). It is the only Icelandic glacier which lies entirely below an altitude of 1000 metres and also the only one that has not shrunk in recent years. Given this paragraph about Drangajökull, tell me where it's located. |
information_extraction | [
{
"content": "Cats need to communicate with each other for bonding, and relating with each other; they need to collaborate, play, and share resources. When they communicate with people, they do so to get what they need or want, such as food, affection, or play.\n\nCats use a range of communication methods such as vocal, visual, tactile and olfactory. Cats mostly meow to communicate with people, rarely with other animals. As such, the cats' communication methods have been significantly affected by domestication. Up to 21 different cat vocalizations have been studied. It is now evident that domestic cats meow more than feral cats. Can cats communicate?",
"role": "user"
},
{
"content": "Cat vocalizations have been categorized according to a range of characteristics. Originally suggested by Mildred Moelk, cat sounds are often divided into three main classes:\n\nsounds produced with the mouth closed (murmurs – purring, trilling)\nsounds produced when the mouth is first opened and then gradually closed (meowing, howling, yowling)\nsounds produced with the mouth held tensely open in the same position (growls, snarls, hisses, spits, chattering, and chirping).\nIn 1944, Moelk published the first phonetic study of cat sounds. She listened very carefully to her own cats and organized their sounds into 16 phonetic patterns divided into three main categories. She also used a phonetic alphabet to transcribe or write down the different sounds. She claimed that cats had six different forms of meows to represent friendliness, confidence, dissatisfaction, anger, fear and pain. Moelk classified eight other sounds involved in mating and fighting by listening to the animals in her yard and on the street.\n\nBrown et al. categorized vocal responses of cats according to the behavioral context: during separation of kittens from mother cats, during food deprivation, during pain, prior to or during threat or attack behavior, as in disputes over territory or food, during a painful or acutely stressful experience, as in routine prophylactic injections and during kitten deprivation. Less commonly recorded calls from mature cats included purring, conspecific greeting calls or murmurs, extended vocal dialogues between cats in separate cages, \"frustration\" calls during training or extinction of conditioned responses.\n\nMiller classified vocalizations into five categories according to the sound produced: the purr, chirr, call, meow and growl/snarl/hiss.\n\nOwens et al. categorized cat vocalizations based on their acoustic structures. There are three categories: tonal sounds, pulse sounds, and broadband sounds. Tonal sounds are further categorized into groups of harmonically structured sounds or regular tonal sounds. Pulse vocalizations are separated into pulse bursts and hybrid pulse bursts with tonal endings. Broadband sounds are separated into four groups: non-tonal broadband sounds, broadband sounds with tonal beginnings, broadband sounds with short tonal elements, and broadband sounds with long tonal endings.",
"role": "assistant"
}
]
| Cats need to communicate with each other for bonding, and relating with each other; they need to collaborate, play, and share resources. When they communicate with people, they do so to get what they need or want, such as food, affection, or play.
Cats use a range of communication methods such as vocal, visual, tactile and olfactory. Cats mostly meow to communicate with people, rarely with other animals. As such, the cats' communication methods have been significantly affected by domestication. Up to 21 different cat vocalizations have been studied. It is now evident that domestic cats meow more than feral cats. Can cats communicate? |
classification | [
{
"content": "Identify which instrument is string or percussion: Bendir, Rabel",
"role": "user"
},
{
"content": "Rabel is string, Bendir is percussion.",
"role": "assistant"
}
]
| Identify which instrument is string or percussion: Bendir, Rabel |
summarization | [
{
"content": "William Alfred Bayly (15 July 1906 – 20 July 1934) was a New Zealand farmer and convicted murderer. He was born in Auckland, New Zealand, on 15 July 1906.\n\nIn October 1928, Bayly's cousin, 17-year-old Elsie Walker found dead in some scrub in a scoria pit in Panmure, Auckland, with a bruise on her head. Bayly was suspected of killing her, but he was never charged.\n\nBill Bayly and his wife Phyllis had been dairy farming at Ruawaro, near Huntly, since November 1928. Their neighbours were Samuel and Christobel Lakey. Relations between Bill Bayly and the Lakeys were initially friendly, but soured when Mrs Lakey was said to have accused Bayly of having murdered his niece.\n\nOn 16 October 1933 neighbours were concerned as to why the Lakey's cows hadn't been milked that morning. Christobel was discovered lying face down in her pond next to the farmhouse. She had been struck a blow to the face then held down underwater until she drowned. Her husband was missing. Some speculated that her husband had killed her and fled, but it soon became evident that both Lakeys had been the victims of foul play. Two days later bloodstains were found on a wheeled frame near the boundary between the Lakey and Bayly farms, bloodstains were discovered on Bill's sledge, Lakey's guns were found buried in Bayly's swamp, and chemical tests revealed charred bone fragments on a shovel taken from his dairy.\n\nIn December Bayly, who had been under surveillance by the police, disappeared, leaving a suicide note. He soon surfaced in Auckland, and was arrested for the murder of Christobel Lakey. More evidence was found in Bayly's garden. Bayly had attempted to incinerate all traces of Lakey. On 10 January 1934 Bayly, was charged with Samuel Lakey's murder.\n\nBayly was hanged in Mount Eden Prison, Auckland, on 20 July 1934. He was survived by his wife and two young sons.\n\nPolice finally buried the remains of Samuel Lakey alongside those of Christobel in Huntly cemetery in 2015. His remains had been used for forensic training. Who is William Alfred Bayly?",
"role": "user"
},
{
"content": "William Alfred Bayly was a New Zealand farmer, who killed his neighbor, Christobel Lakey. He was also suspected of killing others, but was not convicted. He was arrested in Auckland, and was hanged.",
"role": "assistant"
}
]
| William Alfred Bayly (15 July 1906 – 20 July 1934) was a New Zealand farmer and convicted murderer. He was born in Auckland, New Zealand, on 15 July 1906.
In October 1928, Bayly's cousin, 17-year-old Elsie Walker found dead in some scrub in a scoria pit in Panmure, Auckland, with a bruise on her head. Bayly was suspected of killing her, but he was never charged.
Bill Bayly and his wife Phyllis had been dairy farming at Ruawaro, near Huntly, since November 1928. Their neighbours were Samuel and Christobel Lakey. Relations between Bill Bayly and the Lakeys were initially friendly, but soured when Mrs Lakey was said to have accused Bayly of having murdered his niece.
On 16 October 1933 neighbours were concerned as to why the Lakey's cows hadn't been milked that morning. Christobel was discovered lying face down in her pond next to the farmhouse. She had been struck a blow to the face then held down underwater until she drowned. Her husband was missing. Some speculated that her husband had killed her and fled, but it soon became evident that both Lakeys had been the victims of foul play. Two days later bloodstains were found on a wheeled frame near the boundary between the Lakey and Bayly farms, bloodstains were discovered on Bill's sledge, Lakey's guns were found buried in Bayly's swamp, and chemical tests revealed charred bone fragments on a shovel taken from his dairy.
In December Bayly, who had been under surveillance by the police, disappeared, leaving a suicide note. He soon surfaced in Auckland, and was arrested for the murder of Christobel Lakey. More evidence was found in Bayly's garden. Bayly had attempted to incinerate all traces of Lakey. On 10 January 1934 Bayly, was charged with Samuel Lakey's murder.
Bayly was hanged in Mount Eden Prison, Auckland, on 20 July 1934. He was survived by his wife and two young sons.
Police finally buried the remains of Samuel Lakey alongside those of Christobel in Huntly cemetery in 2015. His remains had been used for forensic training. Who is William Alfred Bayly? |
information_extraction | [
{
"content": "Electricity is the set of physical phenomena associated with the presence and motion of matter that has a property of electric charge. Electricity is related to magnetism, both being part of the phenomenon of electromagnetism, as described by Maxwell's equations. Various common phenomena are related to electricity, including lightning, static electricity, electric heating, electric discharges and many others.\nThe presence of either a positive or negative electric charge produces an electric field. The movement of electric charges is an electric current and produces a magnetic field. In most applications, a force acts on a charge with a magnitude given by Coulomb's law. Electric potential is typically measured in volts.\nElectricity is at the heart of many modern technologies, being used for:\nElectric power where electric current is used to energise equipment;\nElectronics which deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes and integrated circuits, and associated passive interconnection technologies.\nElectrical phenomena have been studied since antiquity, though progress in theoretical understanding remained slow until the 17th and 18th centuries. The theory of electromagnetism was developed in the 19th century, and by the end of that century electricity was being put to industrial and residential use by electrical engineers. The rapid expansion in electrical technology at this time transformed industry and society, becoming a driving force for the Second Industrial Revolution. Electricity's extraordinary versatility means it can be put to an almost limitless set of applications which include transport, heating, lighting, communications, and computation. Electrical power is now the backbone of modern industrial society. How would you define electricity based on the following paragraph?",
"role": "user"
},
{
"content": "Electricity is the set of physical phenomena associated with the presence and motion of matter that has a property of electric charge.",
"role": "assistant"
}
]
| Electricity is the set of physical phenomena associated with the presence and motion of matter that has a property of electric charge. Electricity is related to magnetism, both being part of the phenomenon of electromagnetism, as described by Maxwell's equations. Various common phenomena are related to electricity, including lightning, static electricity, electric heating, electric discharges and many others.
The presence of either a positive or negative electric charge produces an electric field. The movement of electric charges is an electric current and produces a magnetic field. In most applications, a force acts on a charge with a magnitude given by Coulomb's law. Electric potential is typically measured in volts.
Electricity is at the heart of many modern technologies, being used for:
Electric power where electric current is used to energise equipment;
Electronics which deals with electrical circuits that involve active electrical components such as vacuum tubes, transistors, diodes and integrated circuits, and associated passive interconnection technologies.
Electrical phenomena have been studied since antiquity, though progress in theoretical understanding remained slow until the 17th and 18th centuries. The theory of electromagnetism was developed in the 19th century, and by the end of that century electricity was being put to industrial and residential use by electrical engineers. The rapid expansion in electrical technology at this time transformed industry and society, becoming a driving force for the Second Industrial Revolution. Electricity's extraordinary versatility means it can be put to an almost limitless set of applications which include transport, heating, lighting, communications, and computation. Electrical power is now the backbone of modern industrial society. How would you define electricity based on the following paragraph? |
general_qa | [
{
"content": "Summarize the following paragraph about Microsoft in 2 sentences:\n\nMicrosoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington. Microsoft's best-known software products are the Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers. Microsoft ranked No. 14 in the 2022 Fortune 500 rankings of the largest United States corporations by total revenue; it was the world's largest software maker by revenue as of 2022. It is considered as one of the Big Five American information technology companies, alongside Alphabet (parent company of Google), Amazon, Apple, and Meta (formerly Facebook).\n\nMicrosoft was founded by Bill Gates and Paul Allen on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800. It rose to dominate the personal computer operating system market with MS-DOS in the mid-1980s, followed by Windows. The company's 1986 initial public offering (IPO), and subsequent rise in its share price, created three billionaires and an estimated 12,000 millionaires among Microsoft employees. Since the 1990s, it has increasingly diversified from the operating system market and has made a number of corporate acquisitions, their largest being the acquisition of LinkedIn for $26.2 billion in December 2016, followed by their acquisition of Skype Technologies for $8.5 billion in May 2011.\n\nAs of 2015, Microsoft is market-dominant in the IBM PC compatible operating system market and the office software suite market, although it has lost the majority of the overall operating system market to Android. The company also produces a wide range of other consumer and enterprise software for desktops, laptops, tabs, gadgets, and servers, including Internet search (with Bing), the digital services market (through MSN), mixed reality (HoloLens), cloud computing (Azure), and software development (Visual Studio).",
"role": "user"
},
{
"content": "Microsoft is an American software company that is well known for its Windows operating system, Microsoft Office suite, and Cloud Computing (Azure), etc amongst many others. It was founded by Bill Gates and worth over a trillion dollars.",
"role": "assistant"
}
]
| Summarize the following paragraph about Microsoft in 2 sentences:
Microsoft Corporation is an American multinational technology corporation headquartered in Redmond, Washington. Microsoft's best-known software products are the Windows line of operating systems, the Microsoft Office suite, and the Internet Explorer and Edge web browsers. Its flagship hardware products are the Xbox video game consoles and the Microsoft Surface lineup of touchscreen personal computers. Microsoft ranked No. 14 in the 2022 Fortune 500 rankings of the largest United States corporations by total revenue; it was the world's largest software maker by revenue as of 2022. It is considered as one of the Big Five American information technology companies, alongside Alphabet (parent company of Google), Amazon, Apple, and Meta (formerly Facebook).
Microsoft was founded by Bill Gates and Paul Allen on April 4, 1975, to develop and sell BASIC interpreters for the Altair 8800. It rose to dominate the personal computer operating system market with MS-DOS in the mid-1980s, followed by Windows. The company's 1986 initial public offering (IPO), and subsequent rise in its share price, created three billionaires and an estimated 12,000 millionaires among Microsoft employees. Since the 1990s, it has increasingly diversified from the operating system market and has made a number of corporate acquisitions, their largest being the acquisition of LinkedIn for $26.2 billion in December 2016, followed by their acquisition of Skype Technologies for $8.5 billion in May 2011.
As of 2015, Microsoft is market-dominant in the IBM PC compatible operating system market and the office software suite market, although it has lost the majority of the overall operating system market to Android. The company also produces a wide range of other consumer and enterprise software for desktops, laptops, tabs, gadgets, and servers, including Internet search (with Bing), the digital services market (through MSN), mixed reality (HoloLens), cloud computing (Azure), and software development (Visual Studio). |
open_qa | [
{
"content": "Which NFL team has won every Super Bowl they played in?",
"role": "user"
},
{
"content": "Tampa Bay Buccaneers, Baltimore Ravens, New Orleans Saints, New York Jets",
"role": "assistant"
}
]
| Which NFL team has won every Super Bowl they played in? |
closed_qa | [
{
"content": "The Osterville Baptist Church is an historic Baptist church building at 824 Main Street in the Osterville village of Barnstable, Massachusetts. The white clapboarded wood-frame structure was built in 1837 for a congregation formed two years earlier. It is one of the older buildings in Osterville, and is a fine example of the Greek Revival with Gothic Revival elements. The church was listed on the National Register of Historic Places in 1987.\n\nDescription and history\nThe Osterville Baptist Church is set prominently in the center of Osterville on the north side of the junction of Main Street and Wianno Avenue. It is rectangular single-story wood-frame structure, with a gable roof, vinyl siding, and a brick foundation. Its exterior features a mix of Greek Revival and Gothic Revival styling, with corner paneled pilasters rising to entablatures running along the sides of the building, and lancet-arched panels above its windows. Its facade is symmetrically arranged, with a pair of entrances, each framed by sidelight windows and pilasters, with an entablature and cornice on top, and sash windows above. A single lancet-arch panel adorns the center of the gable end. The church has a two-stage square tower, with a plain first stage topped by a belfry with lancet-arched louvered openings, and a steeple above.\n\nThe church congregation was organized in 1835 as the Second Barnstable Baptist Church, and this church was dedicated in 1838, having been built on land given by Captain George Lovell. Its steeple is a reconstruction of the original, which was lost in a hurricane in 1945. The church interior was remodeled in 1889, at which time a heating system was added. Further additions have been made to the rear of the building, adding classroom, meeting, and office spaces. Given a reference text about the Osterville Baptist Church, tell me why its steeple was rebuilt and when it was listed on the National Register of Historic Places.",
"role": "user"
},
{
"content": "The Osterville Baptist Church was listed on the National Register of Historic Places in 1987. The church's original steeple had to be replaced because it was damaged during a hurricane in 1945.",
"role": "assistant"
}
]
| The Osterville Baptist Church is an historic Baptist church building at 824 Main Street in the Osterville village of Barnstable, Massachusetts. The white clapboarded wood-frame structure was built in 1837 for a congregation formed two years earlier. It is one of the older buildings in Osterville, and is a fine example of the Greek Revival with Gothic Revival elements. The church was listed on the National Register of Historic Places in 1987.
Description and history
The Osterville Baptist Church is set prominently in the center of Osterville on the north side of the junction of Main Street and Wianno Avenue. It is rectangular single-story wood-frame structure, with a gable roof, vinyl siding, and a brick foundation. Its exterior features a mix of Greek Revival and Gothic Revival styling, with corner paneled pilasters rising to entablatures running along the sides of the building, and lancet-arched panels above its windows. Its facade is symmetrically arranged, with a pair of entrances, each framed by sidelight windows and pilasters, with an entablature and cornice on top, and sash windows above. A single lancet-arch panel adorns the center of the gable end. The church has a two-stage square tower, with a plain first stage topped by a belfry with lancet-arched louvered openings, and a steeple above.
The church congregation was organized in 1835 as the Second Barnstable Baptist Church, and this church was dedicated in 1838, having been built on land given by Captain George Lovell. Its steeple is a reconstruction of the original, which was lost in a hurricane in 1945. The church interior was remodeled in 1889, at which time a heating system was added. Further additions have been made to the rear of the building, adding classroom, meeting, and office spaces. Given a reference text about the Osterville Baptist Church, tell me why its steeple was rebuilt and when it was listed on the National Register of Historic Places. |
creative_writing | [
{
"content": "Is the lacavore diet beneficial?",
"role": "user"
},
{
"content": "While it is harmful to the world trade and transportation of foods, the locavore diet is generally beneficial to the environment, local farmers, and people. In a small community, the locavore diet would contribute to the local economy as well as the health of the population.\n\tThe locavore diet is a restriction in which people are encouraged to eat foods produced within a 100 mile radius of them, which not only benefits their health, as they are eating organic, locally produced foods, but also local farmers, by buying their produce, and the environment, by eliminating the harmful effects of transportation, such as airplanes and trucks.\nA common concern of younger generations is the state of our environment, thanks to the continuation of air and water pollution as well as global warming. The locavore diet targets these exact concerns. In Source A, Maiser notes that a study from the journal Food Policy in 2005 found that buying locally produced foods eliminated the environmental damage that most food transportation causes. The locavore diet is not only friendly to the environment but also to the farmers who produce organic foods. In the USA, the increased purchasing of local foods has created a revival of small farms, with the number of small farms rising 20%, or approximately 1.2 million farms, in just the past six years (Source E). In small communities where small farms are a main source of produce, the locavore diet benefits the local economy, as more money is spent on local farmers and businesses. The increase in small farms within America is also beneficial to the national economy, as money is being spent within the country and perpetuates within our economy.\nDespite its benefits to local farmers, farmers from around the world who were dependent upon the trade and transportation of foods have been suffering. For example, Kenya is responsible for most of the UK’s green beans, and while the locavore diet would support local farmers in the UK, approximately 1.5 million of Kenyan farmers’ livelihoods would be threatened. However, the same argument could be applied to local farmers: the import of foods from countries like Kenya decreases the money spent on small, local farms. In addition, eliminating the need to import food is beneficial to the national economy, as money is being spent on American farmers, who will then spend that money in America, rather than being spent outside of the country.\nPerhaps the most powerful appeal to the locavore diet is its healthiness. Not only do local foods have fewer susceptibility to contamination, but the physical distance of local foods causes them to harbor more powerful vitamins, minerals, and disease-fighting substances. In Source B, Smith argues that because local fruits and vegetables travel shorter distances, they are therefore more likely to be closer to maximum nutritional value. In a notoriously unhealthy society, Americans are likely to benefit from the locavore diet because it emphasizes the importance of eating fruits and vegetables.\nThe locavore diet, while having some drawbacks, is overall beneficial to small communities: it keeps local farms in business which in turn stimulates the local and national economies, it reduces potentially harmful environmental impacts by decreasing the use of air and road transportation, and it allows for more nutritional value in the foods people eat. Worldwide, the locavore diet may not be as helpful, as it would all but eliminate the need for food trade. However, for small, tight-knit communities, the locavore diet would be arguably beneficial.",
"role": "assistant"
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]
| Is the lacavore diet beneficial? |
classification | [
{
"content": "Which is a species of fish? Blenny or Benny",
"role": "user"
},
{
"content": "Blenny",
"role": "assistant"
}
]
| Which is a species of fish? Blenny or Benny |
classification | [
{
"content": "Identify which instrument is string or percussion: Davul, Begena",
"role": "user"
},
{
"content": "Begena is string, Davul is percission.",
"role": "assistant"
}
]
| Identify which instrument is string or percussion: Davul, Begena |
open_qa | [
{
"content": "How many grand slams did Boris Becker win?",
"role": "user"
},
{
"content": "Boris Becker won a total of six Grand Slam titles during his career. He won Wimbledon in 1985, 1986 and 1989, the US Open in 1989 and the Australian Open in 1991 and 1996.",
"role": "assistant"
}
]
| How many grand slams did Boris Becker win? |
summarization | [
{
"content": "Robinson was raised in Winston-Salem, North Carolina. She attended Richard J. Reynolds High School, where she began her first novel, Seven Ways We Lie. She is an alumna of Kenyon College in Gambier, Ohio, where she majored in economics, graduating in 2016. Her debut novel was published before she graduated. While at Kenyon, Robinson won the college's James E. Michael Playwriting Award for her play Mourning Sickness.\n\nRobinson worked from Chicago as writing apprentice for the satirical media outlet The Onion. Her three novels are Seven Ways We Lie (2016), Note Worthy (2017), and Final Draft (2018), all published by Amulet, an imprint of Abrams Books.\n\nRobinson is bisexual, of half-Irish and half-Chinese descent, and the characters in her novels similarly lie \"in the middle of a spectrum rather than out at the ends\". Where did Riley Redgate sarted her first novel?",
"role": "user"
},
{
"content": "Riley Redgate started her first novel while attending Richard J. Reynolds High School.",
"role": "assistant"
}
]
| Robinson was raised in Winston-Salem, North Carolina. She attended Richard J. Reynolds High School, where she began her first novel, Seven Ways We Lie. She is an alumna of Kenyon College in Gambier, Ohio, where she majored in economics, graduating in 2016. Her debut novel was published before she graduated. While at Kenyon, Robinson won the college's James E. Michael Playwriting Award for her play Mourning Sickness.
Robinson worked from Chicago as writing apprentice for the satirical media outlet The Onion. Her three novels are Seven Ways We Lie (2016), Note Worthy (2017), and Final Draft (2018), all published by Amulet, an imprint of Abrams Books.
Robinson is bisexual, of half-Irish and half-Chinese descent, and the characters in her novels similarly lie "in the middle of a spectrum rather than out at the ends". Where did Riley Redgate sarted her first novel? |
open_qa | [
{
"content": "Who is Lee Jung-sik",
"role": "user"
},
{
"content": "Lee Jung-sik (born July 6, 1995) is a South Korean actor and model. He is best known for his starring roles in the web series I Have Three Boyfriends (2019) and Summer Guys (2021).",
"role": "assistant"
}
]
| Who is Lee Jung-sik |
summarization | [
{
"content": "At sufficiently low temperatures, electrons near the Fermi surface become unstable against the formation of Cooper pairs. Cooper showed such binding will occur in the presence of an attractive potential, no matter how weak. In conventional superconductors, an attraction is generally attributed to an electron-lattice interaction. The BCS theory, however, requires only that the potential be attractive, regardless of its origin. In the BCS framework, superconductivity is a macroscopic effect which results from the condensation of Cooper pairs. These have some bosonic properties, and bosons, at sufficiently low temperature, can form a large Bose–Einstein condensate. Superconductivity was simultaneously explained by Nikolay Bogolyubov, by means of the Bogoliubov transformations. Summarize the mechanism for conventional superconductors.",
"role": "user"
},
{
"content": "Cooper Pairs - consisting of two lightly attracted electrons - still carry charge, but now act more like bosons than fermions. Unlike fermions, bosons can all behave the exact same. Cooper Pairs all \"acting the same\" is the mechanism of conventional superconductivity.",
"role": "assistant"
}
]
| At sufficiently low temperatures, electrons near the Fermi surface become unstable against the formation of Cooper pairs. Cooper showed such binding will occur in the presence of an attractive potential, no matter how weak. In conventional superconductors, an attraction is generally attributed to an electron-lattice interaction. The BCS theory, however, requires only that the potential be attractive, regardless of its origin. In the BCS framework, superconductivity is a macroscopic effect which results from the condensation of Cooper pairs. These have some bosonic properties, and bosons, at sufficiently low temperature, can form a large Bose–Einstein condensate. Superconductivity was simultaneously explained by Nikolay Bogolyubov, by means of the Bogoliubov transformations. Summarize the mechanism for conventional superconductors. |
closed_qa | [
{
"content": "Tamil Nadu (/ˌtæmɪl ˈnɑːduː/; Tamil: [ˈtamiɻ ˈnaːɽɯ] (listen), abbr. TN) is the southern-most state of India. The tenth largest Indian state by area and the sixth largest by population, Tamil Nadu is the home of the Tamil people, whose Tamil language—one of the longest surviving classical languages in the world—is widely spoken in the state and serves as its official language. The capital and largest city is Chennai. What is the capital of Tamilnadu?",
"role": "user"
},
{
"content": "Chennai",
"role": "assistant"
}
]
| Tamil Nadu (/ˌtæmɪl ˈnɑːduː/; Tamil: [ˈtamiɻ ˈnaːɽɯ] (listen), abbr. TN) is the southern-most state of India. The tenth largest Indian state by area and the sixth largest by population, Tamil Nadu is the home of the Tamil people, whose Tamil language—one of the longest surviving classical languages in the world—is widely spoken in the state and serves as its official language. The capital and largest city is Chennai. What is the capital of Tamilnadu? |
classification | [
{
"content": "Classify each of the following as straight or curved: banana, baseball bat, hook, rainbow, convex lens, ruler",
"role": "user"
},
{
"content": "Banana: Curved\nBaseball Bat: Straight\nHook: Curved\nRainbow: Curved\nConvex Lens: Curved\nRuler: Straight",
"role": "assistant"
}
]
| Classify each of the following as straight or curved: banana, baseball bat, hook, rainbow, convex lens, ruler |
summarization | [
{
"content": "Taylor Alison Swift (born December 13, 1989) is an American singer-songwriter. Her genre-spanning discography, songwriting and artistic reinventions have received critical praise and wide media coverage. Born in West Reading, Pennsylvania, Swift moved to Nashville at age 14 to become a country artist. She signed a songwriting deal with Sony/ATV Music Publishing in 2004 and a recording contract with Big Machine Records in 2005. Her 2006 self-titled debut album made her the first female country artist to write a U.S. platinum-certified album.\n\nSwift's next albums, Fearless (2008) and Speak Now (2010), explored country pop. The former's \"Love Story\" and \"You Belong with Me\" were the first country songs to top the U.S. pop and all-genre airplay charts, respectively. She experimented with rock and electronic styles on Red (2012), which featured her first Billboard Hot 100 number-one song, \"We Are Never Ever Getting Back Together\", and eschewed her country image in her synth-pop album, 1989 (2014), supported by chart-topping songs \"Shake It Off\", \"Blank Space\", and \"Bad Blood\". Media scrutiny inspired the urban-flavored Reputation (2017) and its number-one single \"Look What You Made Me Do\".\n\nExiting Big Machine, Swift signed with Republic Records in 2018 and released her seventh studio album, Lover (2019), followed by the autobiographical documentary Miss Americana (2020). She ventured into indie folk and alternative rock in her 2020 albums Folklore and Evermore, whose singles \"Cardigan\" and \"Willow\" topped the Hot 100. Swift began re-recording her first six albums after a dispute over their masters, re-releasing two in 2021—Fearless (Taylor's Version) and Red (Taylor's Version). The latter's \"All Too Well (10 Minute Version)\" became the longest song to top the Hot 100. Her 2022 album Midnights and single \"Anti-Hero\" broke all-time streaming records. Swift has directed music videos and films, such as All Too Well: The Short Film (2021), and played supporting roles in others.\n\nHaving sold over 200 million records globally, Swift is one of the best-selling musicians in history. She is the most streamed woman on Spotify, and the only act to have five albums open with over one million copies sold in the US. Among her accolades are 12 Grammy Awards, including three Album of the Year wins; an Emmy Award; 40 American Music Awards; 29 Billboard Music Awards; three IFPI Global Recording Artist of the Year awards; and 92 Guinness World Records. Swift has been featured in rankings such as Rolling Stone's 100 Greatest Songwriters of All Time, Billboard's Greatest of All Time Artists, the Time 100 and Forbes Celebrity 100. Honored with titles such as Artist of the Decade and Woman of the Decade, Swift is an advocate for artists' rights and women's empowerment. Her music is credited with influencing a generation of singers and songwriters. Please give me a short bulleted list of the major achievements Taylor Swift has achieved.",
"role": "user"
},
{
"content": "Taylor Swift moved to Nashville at age 14 where She signed a songwriting deal with Sony/ATV Music that Published in 2004 and a recording contract with Big Machine Records in 2005. Her 2006 self-titled debut album made her the first female country artist to write a U.S. platinum-certified album. She has sold over 200 million records globally and is considered to be one of the best selling musicians in history. She is the most streamed woman on Spotify. She has 12 grammy awards, 29 billboard music awards, 3 IFPI Global Recording Artist of the Year awards, and 92 Guinness World Records.",
"role": "assistant"
}
]
| Taylor Alison Swift (born December 13, 1989) is an American singer-songwriter. Her genre-spanning discography, songwriting and artistic reinventions have received critical praise and wide media coverage. Born in West Reading, Pennsylvania, Swift moved to Nashville at age 14 to become a country artist. She signed a songwriting deal with Sony/ATV Music Publishing in 2004 and a recording contract with Big Machine Records in 2005. Her 2006 self-titled debut album made her the first female country artist to write a U.S. platinum-certified album.
Swift's next albums, Fearless (2008) and Speak Now (2010), explored country pop. The former's "Love Story" and "You Belong with Me" were the first country songs to top the U.S. pop and all-genre airplay charts, respectively. She experimented with rock and electronic styles on Red (2012), which featured her first Billboard Hot 100 number-one song, "We Are Never Ever Getting Back Together", and eschewed her country image in her synth-pop album, 1989 (2014), supported by chart-topping songs "Shake It Off", "Blank Space", and "Bad Blood". Media scrutiny inspired the urban-flavored Reputation (2017) and its number-one single "Look What You Made Me Do".
Exiting Big Machine, Swift signed with Republic Records in 2018 and released her seventh studio album, Lover (2019), followed by the autobiographical documentary Miss Americana (2020). She ventured into indie folk and alternative rock in her 2020 albums Folklore and Evermore, whose singles "Cardigan" and "Willow" topped the Hot 100. Swift began re-recording her first six albums after a dispute over their masters, re-releasing two in 2021—Fearless (Taylor's Version) and Red (Taylor's Version). The latter's "All Too Well (10 Minute Version)" became the longest song to top the Hot 100. Her 2022 album Midnights and single "Anti-Hero" broke all-time streaming records. Swift has directed music videos and films, such as All Too Well: The Short Film (2021), and played supporting roles in others.
Having sold over 200 million records globally, Swift is one of the best-selling musicians in history. She is the most streamed woman on Spotify, and the only act to have five albums open with over one million copies sold in the US. Among her accolades are 12 Grammy Awards, including three Album of the Year wins; an Emmy Award; 40 American Music Awards; 29 Billboard Music Awards; three IFPI Global Recording Artist of the Year awards; and 92 Guinness World Records. Swift has been featured in rankings such as Rolling Stone's 100 Greatest Songwriters of All Time, Billboard's Greatest of All Time Artists, the Time 100 and Forbes Celebrity 100. Honored with titles such as Artist of the Decade and Woman of the Decade, Swift is an advocate for artists' rights and women's empowerment. Her music is credited with influencing a generation of singers and songwriters. Please give me a short bulleted list of the major achievements Taylor Swift has achieved. |
open_qa | [
{
"content": "Why do people like cats?",
"role": "user"
},
{
"content": "People like cats for several reasons, such as enjoying their companionship, that they tend to be lower maintenance than dogs, and that they think they are cute.",
"role": "assistant"
}
]
| Why do people like cats? |
open_qa | [
{
"content": "What is a verb?",
"role": "user"
},
{
"content": "A verb is a word that in syntax generally conveys an action, an occurrence, or a state of being. In the usual description of English, the basic form, with or without the particle to, is the infinitive. In many languages, verbs are inflected to encode tense, aspect, mood, and voice",
"role": "assistant"
}
]
| What is a verb? |
open_qa | [
{
"content": "Who was Catelyn Stark originally betrothed to marry?",
"role": "user"
},
{
"content": "Catelyn Stark (nee Tully) was supposed to marry Brandon Stark, the heir to Winterfell, but Brandon was killed by the Mad King and instead, Catelyn married the next in line to the Winterfell claim, Eddard Stark.",
"role": "assistant"
}
]
| Who was Catelyn Stark originally betrothed to marry? |
information_extraction | [
{
"content": "Although the Sun appears to \"rise\" from the horizon, it is actually the Earth's motion that causes the Sun to appear. The illusion of a moving Sun results from Earth observers being in a rotating reference frame; this apparent motion caused many cultures to have mythologies and religions built around the geocentric model, which prevailed until astronomer Nicolaus Copernicus formulated his heliocentric model in the 16th century.\nAstronomically, sunrise occurs for only an instant: the moment at which the upper limb of the Sun appears tangent to the horizon. However, the term sunrise commonly refers to periods of time both before and after this point:\nTwilight, the period in the morning during which the sky is brightening, but the Sun is not yet visible. The beginning of morning twilight is called astronomical dawn.\nThe period after the Sun rises during which striking colors and atmospheric effects are still seen.\nThe timing of sunrise varies throughout the year and is also affected by the viewer's latitude and longitude, altitude, and time zone. These changes are driven by the axial tilt of Earth, daily rotation of the Earth, the planet's movement in its annual elliptical orbit around the Sun, and the Earth and Moon's paired revolutions around each other. The analemma can be used to make approximate predictions of the time of sunrise.\nIn late winter and spring, sunrise as seen from temperate latitudes occurs earlier each day, reaching its earliest time near the summer solstice; although the exact date varies by latitude. After this point, the time of sunrise gets later each day, reaching its latest sometime around the winter solstice. The offset between the dates of the solstice and the earliest or latest sunrise time is caused by the eccentricity of Earth's orbit and the tilt of its axis, and is described by the analemma, which can be used to predict the dates.\nVariations in atmospheric refraction can alter the time of sunrise by changing its apparent position. Near the poles, the time-of-day variation is exaggerated, since the Sun crosses the horizon at a very shallow angle and thus rises more slowly.\nAccounting for atmospheric refraction and measuring from the leading edge slightly increases the average duration of day relative to night. The sunrise equation, however, which is used to derive the time of sunrise and sunset, uses the Sun's physical center for calculation, neglecting atmospheric refraction and the non-zero angle subtended by the solar disc. How does the time of sunrise vary from spring to summer?",
"role": "user"
},
{
"content": "In late winter and spring, sunrise as seen from temperate latitudes occurs earlier each day, reaching its earliest time near the summer solstice; although the exact date varies by latitude. After this point, the time of sunrise gets later each day, reaching its latest sometime around the winter solstice.",
"role": "assistant"
}
]
| Although the Sun appears to "rise" from the horizon, it is actually the Earth's motion that causes the Sun to appear. The illusion of a moving Sun results from Earth observers being in a rotating reference frame; this apparent motion caused many cultures to have mythologies and religions built around the geocentric model, which prevailed until astronomer Nicolaus Copernicus formulated his heliocentric model in the 16th century.
Astronomically, sunrise occurs for only an instant: the moment at which the upper limb of the Sun appears tangent to the horizon. However, the term sunrise commonly refers to periods of time both before and after this point:
Twilight, the period in the morning during which the sky is brightening, but the Sun is not yet visible. The beginning of morning twilight is called astronomical dawn.
The period after the Sun rises during which striking colors and atmospheric effects are still seen.
The timing of sunrise varies throughout the year and is also affected by the viewer's latitude and longitude, altitude, and time zone. These changes are driven by the axial tilt of Earth, daily rotation of the Earth, the planet's movement in its annual elliptical orbit around the Sun, and the Earth and Moon's paired revolutions around each other. The analemma can be used to make approximate predictions of the time of sunrise.
In late winter and spring, sunrise as seen from temperate latitudes occurs earlier each day, reaching its earliest time near the summer solstice; although the exact date varies by latitude. After this point, the time of sunrise gets later each day, reaching its latest sometime around the winter solstice. The offset between the dates of the solstice and the earliest or latest sunrise time is caused by the eccentricity of Earth's orbit and the tilt of its axis, and is described by the analemma, which can be used to predict the dates.
Variations in atmospheric refraction can alter the time of sunrise by changing its apparent position. Near the poles, the time-of-day variation is exaggerated, since the Sun crosses the horizon at a very shallow angle and thus rises more slowly.
Accounting for atmospheric refraction and measuring from the leading edge slightly increases the average duration of day relative to night. The sunrise equation, however, which is used to derive the time of sunrise and sunset, uses the Sun's physical center for calculation, neglecting atmospheric refraction and the non-zero angle subtended by the solar disc. How does the time of sunrise vary from spring to summer? |
brainstorming | [
{
"content": "Give me a bulleted list of the last 10 Major League Baseball world series champions.",
"role": "user"
},
{
"content": "2022 Houston Astros\n2021 Atlanta Braves\n2020 Los Angeles Dodgers\n2019 Washington Nationals\n2018 Boston Red Sox\n2017 Houston Astros\n2016 Chicago Cubs\n2015 Kansas City Royals\n2014 San Francisco Giants\n2013 Boston Red Sox",
"role": "assistant"
}
]
| Give me a bulleted list of the last 10 Major League Baseball world series champions. |
closed_qa | [
{
"content": "Onigiri (お握り or 御握り), also known as omusubi (お結び), nigirimeshi (握り飯), or rice ball, is a Japanese food made from white rice formed into triangular or cylindrical shapes and often wrapped in nori. Traditionally, an onigiri is filled with pickled ume (umeboshi), salted salmon, katsuobushi, kombu, tarako, mentaiko, takanazuke (pickled takana, Japanese giant red mustard greens) or any other salty or sour ingredient as a natural preservative. Most Japanese convenience stores stock their onigiri with various fillings and flavors. There are even specialized shops which only sell onigiri to take out. Due to the popularity of this trend in Japan, onigiri has become a popular staple in Japanese restaurants worldwide. What is an onigiri made of?",
"role": "user"
},
{
"content": "Onigiri is a Japanese food made from white rice formed into triangular or cylindrical shapes and often wrapped in nori (seaweed). Traditionally, an onigiri is filled with pickled ume (umeboshi), salted salmon, katsuobushi, kombu, tarako, mentaiko, takanazuke (pickled takana, Japanese giant red mustard greens) or any other salty or sour ingredient as a natural preservative.",
"role": "assistant"
}
]
| Onigiri (お握り or 御握り), also known as omusubi (お結び), nigirimeshi (握り飯), or rice ball, is a Japanese food made from white rice formed into triangular or cylindrical shapes and often wrapped in nori. Traditionally, an onigiri is filled with pickled ume (umeboshi), salted salmon, katsuobushi, kombu, tarako, mentaiko, takanazuke (pickled takana, Japanese giant red mustard greens) or any other salty or sour ingredient as a natural preservative. Most Japanese convenience stores stock their onigiri with various fillings and flavors. There are even specialized shops which only sell onigiri to take out. Due to the popularity of this trend in Japan, onigiri has become a popular staple in Japanese restaurants worldwide. What is an onigiri made of? |
classification | [
{
"content": "What is the difference between a coastal cruising and blue water sailboat?",
"role": "user"
},
{
"content": "The designs, accommodations and compromises for these boats can be very different and reflect the likely sea conditions these boats would encounter, expected time at sea and different experiences of passenger comfort. The primary difference between these boats begins with the shape of the hull since many other design choices tend to be dictated by hull shape.\n\nCoastal cruisers, which are generally sailed near shore and in safer weather conditions, \ntend to have a flatter hull shapes since these boats, which means they tend to \"slap\" the water when coming off a wave. With a flatter hull shape, boat architects can make greater use of the cabin space and so coastal cruisers will generally have a more spacious interior. The helm (or the outdoor area from which the boat is navigated) is generally less protected and generally speaking, offers greater comfort and ease of moving around. Safety, protection and expected time away from marinas mean these boats can refill fresh water, recharge batteries, empty waste tanks more frequently and therefore, tend to have lower capacities.\n\nBlue water boats, because they are intended to sail in open waters (hence the moniker \"blue water\") in more unpredictable weather, generally have tapered (or tear drop shaped) hull shapes with heavier keels (generally, lead) and deeper drafts. With these designs, blue water boats can withstand heavier seas and will \"cut through\" waves rather than \"slap.\" Generally speaking, blue water boats offer a much more comfortable experience in rougher seas and will have bigger fresh water and fuel tanks and will likely feature generators and other equipment that allows these boats to away for longer periods.\n\nBlue water boats feature tapered hulls so the beam or width of the boat narrows the closer it gets to the water line (and below), leaving less room in the interior cabin than an equally sized coastal cruiser. Foot for foot, blue water boats will feature fewer berths and will have more cramped quarters because of the narrowing beam.\n\nBecause blue water boats are intended to sail longer distances and will carry more fuel and fresh water, these boats interior space is further restricted to accomadate these practical requirements.\n\nThe differences in comfort, stability and likelihood of capsizing are all captured in mathematical calculations that can provide an abstracted comparison between these boat types so prospective buyers can anticipate the the experiences and trade offs each hull type would provide.",
"role": "assistant"
}
]
| What is the difference between a coastal cruising and blue water sailboat? |
classification | [
{
"content": "Which is a species of fish? Bombay duck or Bombay Sapphire",
"role": "user"
},
{
"content": "Bombay duck",
"role": "assistant"
}
]
| Which is a species of fish? Bombay duck or Bombay Sapphire |
summarization | [
{
"content": "Carl Rimmer (born 29 April 1986 in Banbury, England) is a Rugby Union player for Exeter Chiefs in the Aviva Premiership.\n\nRimmer is equally capable of playing at both loosehead and tighthead prop and made his debut for Exeter against London Welsh on 16 September 2012, subsequently starting at both loosehead and tighthead. Rimmer joined Exeter from fellow westcountry side Cornish Pirates and is qualified to play for both England or Wales. He was a replacement as Exeter Chiefs defeated Wasps to be crowned champions of the 2016-17 English Premiership. Who is Carl Rimmer",
"role": "user"
},
{
"content": "Carl Rimmer (born 29 April 1986 in Banbury, England) is a Rugby Union player for Exeter Chiefs in the Aviva Premiership.",
"role": "assistant"
}
]
| Carl Rimmer (born 29 April 1986 in Banbury, England) is a Rugby Union player for Exeter Chiefs in the Aviva Premiership.
Rimmer is equally capable of playing at both loosehead and tighthead prop and made his debut for Exeter against London Welsh on 16 September 2012, subsequently starting at both loosehead and tighthead. Rimmer joined Exeter from fellow westcountry side Cornish Pirates and is qualified to play for both England or Wales. He was a replacement as Exeter Chiefs defeated Wasps to be crowned champions of the 2016-17 English Premiership. Who is Carl Rimmer |
closed_qa | [
{
"content": "Octavia Estelle Butler (June 22, 1947 – February 24, 2006) was an American science fiction author and a multiple recipient of the Hugo and Nebula awards. In 1995, Butler became the first science-fiction writer to receive a MacArthur Fellowship. Born in Pasadena, California, Butler was raised by her widowed mother. Extremely shy as a child, Butler found an outlet at the library reading fantasy, and in writing. She began writing science fiction as a teenager. She attended community college during the Black Power movement. While participating in a local writer's workshop, she was encouraged to attend the Clarion Workshop, then held in Pennsylvania, which focused on science fiction. How old was Octavia Butler when she died?",
"role": "user"
},
{
"content": "At the time of her death in 2006, Octavia Butler was 58 years old.",
"role": "assistant"
}
]
| Octavia Estelle Butler (June 22, 1947 – February 24, 2006) was an American science fiction author and a multiple recipient of the Hugo and Nebula awards. In 1995, Butler became the first science-fiction writer to receive a MacArthur Fellowship. Born in Pasadena, California, Butler was raised by her widowed mother. Extremely shy as a child, Butler found an outlet at the library reading fantasy, and in writing. She began writing science fiction as a teenager. She attended community college during the Black Power movement. While participating in a local writer's workshop, she was encouraged to attend the Clarion Workshop, then held in Pennsylvania, which focused on science fiction. How old was Octavia Butler when she died? |
closed_qa | [
{
"content": "Shirley C. Guthrie Jr. (9 October 1927 – 23 October 2004) was a minister of the Presbyterian Church (USA) and J.B. Green Professor of Systematic Theology at Columbia Theological Seminary for nearly 40 years. He was well known for his book, Christian Doctrine, which was originally written for an Adult Sunday School Book in the old PCUS Covenant life curriculum. Were the months that Shirley C. Guthrie Jr. was born and died in the same month or different months?",
"role": "user"
},
{
"content": "The same. Shirley C. Guthrie Jr. was born in October 1927 and died in October 2004.",
"role": "assistant"
}
]
| Shirley C. Guthrie Jr. (9 October 1927 – 23 October 2004) was a minister of the Presbyterian Church (USA) and J.B. Green Professor of Systematic Theology at Columbia Theological Seminary for nearly 40 years. He was well known for his book, Christian Doctrine, which was originally written for an Adult Sunday School Book in the old PCUS Covenant life curriculum. Were the months that Shirley C. Guthrie Jr. was born and died in the same month or different months? |
information_extraction | [
{
"content": "The New Joint Endeavor for Welfare, Education, and Liberation, or New JEWEL Movement (NJM), was a Marxist–Leninist vanguard party in the Caribbean island nation of Grenada that was led by Maurice Bishop.\n\nEstablished in 1973, the NJM issued its manifesto prior to the granting of independence to Grenada in 1974. The movement took control of the country with a successful bloodless revolution in 1979 and ruled by decree as the People's Revolutionary Government until 1983. In 1983, Bishop was killed by paramilitaries affiliated with hard-liners in his own party. This led to a military government, which was deposed by the US military in a 1983 invasion. Extract all the dates from this paragraph provided.",
"role": "user"
},
{
"content": "1973, 1974, 1979, 1983",
"role": "assistant"
}
]
| The New Joint Endeavor for Welfare, Education, and Liberation, or New JEWEL Movement (NJM), was a Marxist–Leninist vanguard party in the Caribbean island nation of Grenada that was led by Maurice Bishop.
Established in 1973, the NJM issued its manifesto prior to the granting of independence to Grenada in 1974. The movement took control of the country with a successful bloodless revolution in 1979 and ruled by decree as the People's Revolutionary Government until 1983. In 1983, Bishop was killed by paramilitaries affiliated with hard-liners in his own party. This led to a military government, which was deposed by the US military in a 1983 invasion. Extract all the dates from this paragraph provided. |
open_qa | [
{
"content": "Who is the greatest tennis player of all time?",
"role": "user"
},
{
"content": "This is the most debated question in tennis and it seems to have multiple answers depending on how greatness is defined. While the tennis history gave us many great players, most answers pick one of the so called big three players: Novak Djokovic, Rafael Nadal, or Roger Federer. \n\nIf we look at the number of trophies and records, the most successful player is Novak Djokovic. The dominance achieved by Rafael Nadal on a single surface is unprecedented. Some people however argue that greatness cannot be measured in trophies and records and that Roger Federer’s game is the most elegant they’ve ever seen on court.",
"role": "assistant"
}
]
| Who is the greatest tennis player of all time? |
information_extraction | [
{
"content": "Dry Tortugas National Park is a national park located about 68 miles (109 km) west of Key West in the Gulf of Mexico, in the United States. The park preserves Fort Jefferson and the seven Dry Tortugas islands, the westernmost and most isolated of the Florida Keys. The archipelago's coral reefs are the least disturbed of the Florida Keys reefs.\n\nMost visitors arrive in Dry Tortugas National Park by either boat or seaplane from Key West. Official ferry and transportation services to the Dry Tortugas include the Yankee Freedom III catamaran, private vessel chartering and seaplane services. Other methods of visiting the Dry Tortugas include chartering of authorized and approved private vessels. There are no road connections to Dry Tortugas, and cars cannot access the islands. How can you get to Dry Tortugas National Park?",
"role": "user"
},
{
"content": "Dry Tortugas National Park can be accessed by seaplane or boat. The official ferry service is Yankee Freedom; private boats can also access the island. The islands that make up Dry Tortugas are located near Key West in the Gulf of Mexcio and cannot be accessed by car.",
"role": "assistant"
}
]
| Dry Tortugas National Park is a national park located about 68 miles (109 km) west of Key West in the Gulf of Mexico, in the United States. The park preserves Fort Jefferson and the seven Dry Tortugas islands, the westernmost and most isolated of the Florida Keys. The archipelago's coral reefs are the least disturbed of the Florida Keys reefs.
Most visitors arrive in Dry Tortugas National Park by either boat or seaplane from Key West. Official ferry and transportation services to the Dry Tortugas include the Yankee Freedom III catamaran, private vessel chartering and seaplane services. Other methods of visiting the Dry Tortugas include chartering of authorized and approved private vessels. There are no road connections to Dry Tortugas, and cars cannot access the islands. How can you get to Dry Tortugas National Park? |
brainstorming | [
{
"content": "how to become a yoga instructor?",
"role": "user"
},
{
"content": "Yoga instructor is usually a yogi that bears a passion to instruct and help other yogis. To be certified, you must complete yoga instructor training. There are online, in person and hybrid options for the yoga instructor training. Once certified, you can start teaching in the community. However, to be a registered member of yoga instructor associations, it generally requires 200 hours of certified training time every year. Members of a renowned yoga instructor association provides better credentials and makes it easier to find customers on your own or find a position with gyms or yoga studios.",
"role": "assistant"
}
]
| how to become a yoga instructor? |
general_qa | [
{
"content": "What is the 80/20 rule?",
"role": "user"
},
{
"content": "The 80/20 rule can be applied in many contexts. Casually, it may refer to the observation that often 20% of the effort yields 80% of the benefit and the corollary that the last 20% of the benefit requires 80% of the effort. The 80/20 rule also describes a property that is empirically true of the frequency distribution of many sets, such as 20% of unique words accounting for 80% of words in a book or 20% of companies in a stock portfolio accounting for 80% of the return.",
"role": "assistant"
}
]
| What is the 80/20 rule? |
open_qa | [
{
"content": "What is Depreciation",
"role": "user"
},
{
"content": "Depreciation is the drop in value of an asset due to wear and tear, age and obsolescence (going out of date) as recorded in an organization's financial records.",
"role": "assistant"
}
]
| What is Depreciation |
classification | [
{
"content": "Tell me which of these are main characters from The X-Files: Fox Mulder, Mitch Pileggi, Dana Scully, Mully & Sculder, Frank Black, Peter Watts.",
"role": "user"
},
{
"content": "Fox Mulder and Dana Scully are characters from Chris Carter's show The X-Files. Mitch Pileggi played Assistant Director Walter skinner on The X-Files, Mully & Sculder is the name of a synth-pop duo from Canada, and Frank Black and Peter Watts are characters from Chris Carter's other sci-fi show called Millennium. Frank Black made a cameo on The X-Files after Millennium was canceled, but is not considered a main character on the former.",
"role": "assistant"
}
]
| Tell me which of these are main characters from The X-Files: Fox Mulder, Mitch Pileggi, Dana Scully, Mully & Sculder, Frank Black, Peter Watts. |
classification | [
{
"content": "which of these words do not belong in the same category? peel, organic, fruit, yellow, mushy, crunchy.",
"role": "user"
},
{
"content": "Only crunchy does not belong in this category. This is because all these words describe a banana. However a banana and crunchy do not go together because a banana is mushy.",
"role": "assistant"
}
]
| which of these words do not belong in the same category? peel, organic, fruit, yellow, mushy, crunchy. |
general_qa | [
{
"content": "What is the best way to evaluate the performance of my marketing spend?",
"role": "user"
},
{
"content": "The primary purpose for evaluating the performance of marketing spend tends to be toward informing decisions around how to reallocate that marketing spend in future periods, in order to improve business performance overall. In this regard, we can look at this problem as a decision support problem space. Historically, marketers have used a range of approaches ranging from marketing mix modeling, to marketing attribution, to controlled experiments, and more. None of these approaches are perfect, but a combination of these approaches combined with a rigorous decision feedback loop (e.g. in the spirit of the Observe, Oriented, Decide, Act loop) can help marketers improve their marketing performance management, and hence their marketing performance, over time.",
"role": "assistant"
}
]
| What is the best way to evaluate the performance of my marketing spend? |
creative_writing | [
{
"content": "Write a short blog post about why you have chosen to delete your instagram account and why you think that instagram has an negative impact on society.",
"role": "user"
},
{
"content": "Hi friends, long time no talk! Today, I want to tell you all about why I decided to delete my instagram account. This is a decision I had been thinking about for a long time, and ultimately I decided it just made sense to get rid of the account. However, I didn't want to do this without sharing with you all why I made this decision, because I think it is important to explain. I've had an instagram account for years, but often felt as though I would get sucked into a scroll spiral (we've all been there, let's be real) where I would just sit on my phone for hours. I had already put in place screen time limits, but I felt like I wasn't really getting a lot out of the app. However, what ultimately made me decide to go full send and delete my account was reading about how social media causes low self esteem, and how it could be causing many of the mental health issues we are seeing with young people right now. After reading about this, I decided enough was enough, and I finally deleted my account. I would encourage you all to do the same - don't worry, I'm not giving up this blog, so you'll still be able to check in on what I'm up to. Let me know in the comments what you guys think, and talk next week!",
"role": "assistant"
}
]
| Write a short blog post about why you have chosen to delete your instagram account and why you think that instagram has an negative impact on society. |
creative_writing | [
{
"content": "Imagine you have to spend a week on a deserted island. What are 5 items you'd bring with you and why?",
"role": "user"
},
{
"content": "If I was stranded on a deserted island for a week the first thing I'd be sure to pack is sun screen! My biggest fear would be exposure to the elements while trying to forage for food, build a shelter and come up with a game plan to be rescued. My 2nd item would be some form of fishing tackle, I assume the easiest thing to catch out in the middle of the ocean would be fish. I'd be sure to bring plenty of hooks, line and artificial lures in my tackle box. The 3rd item I'd be sure to pack would be a fire-starter. I would choose this over matches because flint/steel work while wet where matches become useless pretty quickly when wet. The 4th item I'd bring would be a guitar, there's something very relaxing and peaceful about music while you're alone and I imagine it would help pass the time. The last item I would bring would be a picture of my family. That would keep me going in even the darkest of times. When the fish aren't biting or the weather isn't cooperating - knowing I have a lovely family to get back home to would provide all the motivation in the world to keep fighting!",
"role": "assistant"
}
]
| Imagine you have to spend a week on a deserted island. What are 5 items you'd bring with you and why? |
creative_writing | [
{
"content": "write a short essay on California wild fire",
"role": "user"
},
{
"content": "California is known for its hot, dry summers, which increase the risk of wildfires. Every year, the state experiences dozens of fires, which can be devastating to both the environment and people's homes and businesses.\n\nIn recent years, California has seen some of the worst wildfires in its history, with tens of thousands of acres of land destroyed and hundreds of homes lost. These fires are often started by a combination of high temperatures, dry conditions, and strong winds, which can quickly spread flames and make them difficult to control.\n\nThe effects of these fires are felt not just by those directly impacted, but by everyone in the state. Smoke and ash from the fires can cause respiratory problems and other health issues, and the destruction of habitats can harm wildlife populations and disrupt entire ecosystems.\n\nDespite the challenges, California has made significant progress in fighting wildfires in recent years. The state has invested in new technologies and equipment to help firefighters respond more quickly and effectively to fires, and has increased efforts to prevent fires from starting in the first place.\n\nWhile wildfires will likely always be a risk in California, the state's proactive approach to managing them gives hope that we can continue to protect people, wildlife, and the environment from their devastating effects.",
"role": "assistant"
}
]
| write a short essay on California wild fire |
general_qa | [
{
"content": "Why do people like skiing or snowboarding down a mountain?",
"role": "user"
},
{
"content": "People like to ski or snowboard down a mountain because it gives them a sense of adventure and a thrill to be out in nature, enjoying what winter has provided for them. The art of sliding controllably down a mountain gives people a slight adrenaline rush that can be addicting. Immersed safely in nature where there are trees, beautiful mountains, and lakes to see gives a sharp peaceful contrast to extreme adventure and risk-taking that ski and snowboarding invokes.",
"role": "assistant"
}
]
| Why do people like skiing or snowboarding down a mountain? |
closed_qa | [
{
"content": "Adventfjorden (Advent Bay) is a 7 km long and 4 km wide bay running south-eastwards from the southern side of Isfjorden, on the west coast of Spitsbergen in Svalbard. The name represents a corruption of Adventure Bay - probably named after the Hull-built whaleship Adventure, which operated in Isfjorden in 1656. The fjord was originally[when?] known as Klass Billen Bay. At the head of Adventfjorden is Adventdalen (Advent Valley).\n\nThe former mining-camp of Longyearbyen (now Svalbard's main town) lies on the fjord's southwestern shore, while another former mining-camp, Hiorthhamn, is located on its northeastern shore. Given a reference text about Adventfjorden, how wide and long is it?",
"role": "user"
},
{
"content": "Adventfjorden is 4km wide and 7km long.",
"role": "assistant"
}
]
| Adventfjorden (Advent Bay) is a 7 km long and 4 km wide bay running south-eastwards from the southern side of Isfjorden, on the west coast of Spitsbergen in Svalbard. The name represents a corruption of Adventure Bay - probably named after the Hull-built whaleship Adventure, which operated in Isfjorden in 1656. The fjord was originally[when?] known as Klass Billen Bay. At the head of Adventfjorden is Adventdalen (Advent Valley).
The former mining-camp of Longyearbyen (now Svalbard's main town) lies on the fjord's southwestern shore, while another former mining-camp, Hiorthhamn, is located on its northeastern shore. Given a reference text about Adventfjorden, how wide and long is it? |
general_qa | [
{
"content": "How should I deal with my kid's allergy?",
"role": "user"
},
{
"content": "Find out what your kid is allergic to by conducting a series of tests. Also make sure the kid changes cloth after coming back from school to avoid spreading allergy agents, e.g. dust or pollens, into the bedroom and taking shower right after school is a good idea too. In some severe cases doctors may prescribe allergy shots, so do ask about that option if necessary.",
"role": "assistant"
}
]
| How should I deal with my kid's allergy? |
classification | [
{
"content": "Identify which instrument is string or percussion: Bianzhong, Sorahi",
"role": "user"
},
{
"content": "Sorahi is string, Bianzhong is percussion.",
"role": "assistant"
}
]
| Identify which instrument is string or percussion: Bianzhong, Sorahi |
classification | [
{
"content": "Tell me whether these sports are played on grass or ice: figure skating, hockey, football, soccer, curling",
"role": "user"
},
{
"content": "Figure Skating: Ice\nHockey: Ice\nFootball: Grass\nSoccer: Grass\nCurling: Ice",
"role": "assistant"
}
]
| Tell me whether these sports are played on grass or ice: figure skating, hockey, football, soccer, curling |
classification | [
{
"content": "Classify each of the following as a desert or mountain range: Alps, Sahara, Rockies, Appalachian, Arabian, Gobi",
"role": "user"
},
{
"content": "Alps: Mountain Range\nSahara: Desert\nRockies: Mountain Range\nAppalachian: Mountain Range\nArabian: Desert\nGobi: Desert",
"role": "assistant"
}
]
| Classify each of the following as a desert or mountain range: Alps, Sahara, Rockies, Appalachian, Arabian, Gobi |
general_qa | [
{
"content": "Explain nuclear fission in the voice of Bill Nye",
"role": "user"
},
{
"content": "Okay kids, listen up. Nuclear fission is a very cool concept that gives us nuclear energy to power our homes and cities! You know how everything around us is made of little components called atoms, right? The centers of these atoms, called the nuclei, are themselves made of particles, called protons and neutrons. These particles are super tiny, hundreds of times smaller than the atoms themselves! Anyway, the particles in the nucleus are stuck firmly together, but if disturbed by a high-energy particle, the nucleus can split apart. When it does that, it releases a lot of energy as light and heat. This splitting of the nucleus is called fission.\n\nIn some materials, each nucleus that splits also releases more loose particles, typically neutrons, that can hit other atoms, and this leads to what's called a chain reaction: one atom splitting can cause others to do so, and keep releasing more energy. If left uncontrolled in a dense enough material, this leads to an atomic explosion, which is very bad. Definitely don't try that at home! In fact don't try anything else at home. But if controlled with the right amount of moderating material, this type of reaction can give rise to a continuous and cheap source of energy, as used in nuclear power plants. Some countries get most of their energy today from nuclear fission.\n\nThe craziest thing about nuclear fission is that it was only discovered and put into use starting in the 1930s. It's such a new finding, and it's totally changed the world. Science rules!",
"role": "assistant"
}
]
| Explain nuclear fission in the voice of Bill Nye |
open_qa | [
{
"content": "What is Azure HDInsight?",
"role": "user"
},
{
"content": "Azure HDInsight is a cloud-based service from Microsoft for big data analytics that helps organizations process large amounts of streaming or historical data. It runs popular open-source frameworks—including Apache Hadoop, Spark, Hive, Kafka, and more.",
"role": "assistant"
}
]
| What is Azure HDInsight? |
open_qa | [
{
"content": "Which is the well-known sport in India?",
"role": "user"
},
{
"content": "while India as a country has followers for many sports, Cricket has been the most popular game of all time. In recent times there has been a great following for Football however the popularity is still with Cricket",
"role": "assistant"
}
]
| Which is the well-known sport in India? |
classification | [
{
"content": "Which of the following wars took place in the twentieth century: World War II, American Revolution, French Revolution, Hundred Years War, and the Vietnam War?",
"role": "user"
},
{
"content": "World War II and the Vietnam war took place in the twentieth century.",
"role": "assistant"
}
]
| Which of the following wars took place in the twentieth century: World War II, American Revolution, French Revolution, Hundred Years War, and the Vietnam War? |
creative_writing | [
{
"content": "Why did my cookies turn out flat?",
"role": "user"
},
{
"content": "Many factors contribute to a flat cookie. The biggest one tends to be the temperature of the butter when the ingredients are mixed together. If you want a taller, more dense cookie, it is recommended you use cold butter. The best way to do this is to take your sticks of butter and cut it into cubes or slices. Then your mixer will have an easier time incorporating the butter into the sugars and other ingredients. Melted butter will definitely result in a thinner more flat cookie.",
"role": "assistant"
}
]
| Why did my cookies turn out flat? |
classification | [
{
"content": "Tell me whether these are Indian states or not: Karnataka, Kerala, Maharashtra, Chennai, Haryana, Delhi",
"role": "user"
},
{
"content": "The Indian states are: Karnataka, Kerala, Maharashtra, Haryana\nChennai is an Indian city which belongs to the state Tamil Nadu\nDelhi is Indian union territory\n\nIndia is a federal union comprising 28 states and 8 union territories, with a total of 36 entities. \n\nstates: Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Chhattisgarh, Goa, Gujarat, Haryana, Himachal Pradesh, Jharkhand, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Manipur, Meghalaya, Mizoram, Nagaland, Odisha, Punjab, Rajasthan, Sikkim, Tamil Nadu, Telangana, Tripura, Uttar Pradesh, Uttarakhand, West Bengal\n\nunion territories: Andaman and Nicobar Islands, Chandigarh, Dadra and Nagar Haveli and Daman and Diu, Delhi, Jammu and Kashmir, Ladakh\t, Lakshadweep, Puducherry",
"role": "assistant"
}
]
| Tell me whether these are Indian states or not: Karnataka, Kerala, Maharashtra, Chennai, Haryana, Delhi |
open_qa | [
{
"content": "What is a sitcom?",
"role": "user"
},
{
"content": "A sitcom is a comedy that typically airs on a television network once per week for 30 minutes.",
"role": "assistant"
}
]
| What is a sitcom? |
closed_qa | [
{
"content": "Around 4000 BCE, the Saharan climate started to become drier at an exceedingly fast pace. This climate change caused lakes and rivers to shrink significantly and caused increasing desertification. This, in turn, decreased the amount of land conducive to settlements and encouraged migrations of farming communities to the more tropical climate of West Africa. During the first millennium BCE, a reduction in wild grain populations related to changing climate conditions facilitated the expansion of farming communities and the rapid adoption of rice cultivation around the Niger River. The reduction in wild grain populations lead to what type of crop being cultivated?",
"role": "user"
},
{
"content": "The reduction in wild grain populations lead to the rapid adoption of rice cultivation around the Niger River.",
"role": "assistant"
}
]
| Around 4000 BCE, the Saharan climate started to become drier at an exceedingly fast pace. This climate change caused lakes and rivers to shrink significantly and caused increasing desertification. This, in turn, decreased the amount of land conducive to settlements and encouraged migrations of farming communities to the more tropical climate of West Africa. During the first millennium BCE, a reduction in wild grain populations related to changing climate conditions facilitated the expansion of farming communities and the rapid adoption of rice cultivation around the Niger River. The reduction in wild grain populations lead to what type of crop being cultivated? |
summarization | [
{
"content": "West Ham United Football Club is an English professional football club that plays its home matches in Stratford, East London. The club competes in the Premier League, the top tier of English football. The club plays at the London Stadium, having moved from their former home, the Boleyn Ground, in 2016. Which league are West Ham in and where is there ground?",
"role": "user"
},
{
"content": "West Ham United are in the English Premier League which is the top tier in England. They play at the London Stadium in Stratford. Stratford is in East London. Up until 2016 West Ham played at the Boleyn Ground.",
"role": "assistant"
}
]
| West Ham United Football Club is an English professional football club that plays its home matches in Stratford, East London. The club competes in the Premier League, the top tier of English football. The club plays at the London Stadium, having moved from their former home, the Boleyn Ground, in 2016. Which league are West Ham in and where is there ground? |
open_qa | [
{
"content": "How many languages are there worldwide?",
"role": "user"
},
{
"content": "There are approximately 7,000 languages worldwide and many dialects.",
"role": "assistant"
}
]
| How many languages are there worldwide? |
open_qa | [
{
"content": "What is the fundamental problem of economics as a discipline?",
"role": "user"
},
{
"content": "a. The allocation of resources among competing wants because there are unlimited wants\nlimited resources\nb. How to ensure continuous economic growth in the face of uncertainty\nc. How to maximise profits for companies and consumer value for citizens\nd. How to balance the needs of the economy with society and the environment",
"role": "assistant"
}
]
| What is the fundamental problem of economics as a discipline? |
open_qa | [
{
"content": "The quit India movement is also known as",
"role": "user"
},
{
"content": "August Kranti",
"role": "assistant"
}
]
| The quit India movement is also known as |
classification | [
{
"content": "Tell me which of the following are states in the United States of America: Washington, Oregon, California, Idaho, Toronto, Canada, England.",
"role": "user"
},
{
"content": "The following are all states in the United States of America: Washington, Oregon, California, and Idaho. Toronto, Canada, and England are not part of the United States of America.",
"role": "assistant"
}
]
| Tell me which of the following are states in the United States of America: Washington, Oregon, California, Idaho, Toronto, Canada, England. |
information_extraction | [
{
"content": "Test tubes intended for general chemical work are usually made of glass, for its relative resistance to heat. Tubes made from expansion-resistant glasses, mostly borosilicate glass or fused quartz, can withstand high temperatures up to several hundred degrees Celsius.Chemistry tubes are available in a multitude of lengths and widths, typically from 10 to 20 mm wide and 50 to 200 mm long. The top often features a flared lip to aid pouring out the contents.A chemistry test tube typically has a flat bottom, a round bottom, or a conical bottom. Some test tubes are made to accept a ground glass stopper or a screw cap. They are often provided with a small ground glass or white glaze area near the top for labelling with a pencil.Test tubes are widely used by chemists to handle chemicals, especially for qualitative experiments and assays. Their spherical bottom and vertical sides reduce mass loss when pouring, make them easier to wash out, and allow convenient monitoring of the contents. The long, narrow neck of test tube slows down the spreading of gases to the environment.Test tubes are convenient containers for heating small amounts of liquids or solids with a Bunsen burner or alcohol burner. The tube is usually held by its neck with a clamp or tongs. By tilting the tube, the bottom can be heated to hundreds of degrees in the flame, while the neck remains relatively cool, possibly allowing vapours to condense on its walls. A boiling tube is a large test tube intended specifically for boiling liquids.A test tube filled with water and upturned into a water-filled beaker is often used to capture gases, e.g. in electrolysis demonstrations.A test tube with a stopper is often used for temporary storage of chemical or biological samples. From the passage identify the shape of bottom of chemistry test tube. Display the results in comma separated format.",
"role": "user"
},
{
"content": "flat, round bottom, conical bottom",
"role": "assistant"
}
]
| Test tubes intended for general chemical work are usually made of glass, for its relative resistance to heat. Tubes made from expansion-resistant glasses, mostly borosilicate glass or fused quartz, can withstand high temperatures up to several hundred degrees Celsius.Chemistry tubes are available in a multitude of lengths and widths, typically from 10 to 20 mm wide and 50 to 200 mm long. The top often features a flared lip to aid pouring out the contents.A chemistry test tube typically has a flat bottom, a round bottom, or a conical bottom. Some test tubes are made to accept a ground glass stopper or a screw cap. They are often provided with a small ground glass or white glaze area near the top for labelling with a pencil.Test tubes are widely used by chemists to handle chemicals, especially for qualitative experiments and assays. Their spherical bottom and vertical sides reduce mass loss when pouring, make them easier to wash out, and allow convenient monitoring of the contents. The long, narrow neck of test tube slows down the spreading of gases to the environment.Test tubes are convenient containers for heating small amounts of liquids or solids with a Bunsen burner or alcohol burner. The tube is usually held by its neck with a clamp or tongs. By tilting the tube, the bottom can be heated to hundreds of degrees in the flame, while the neck remains relatively cool, possibly allowing vapours to condense on its walls. A boiling tube is a large test tube intended specifically for boiling liquids.A test tube filled with water and upturned into a water-filled beaker is often used to capture gases, e.g. in electrolysis demonstrations.A test tube with a stopper is often used for temporary storage of chemical or biological samples. From the passage identify the shape of bottom of chemistry test tube. Display the results in comma separated format. |
general_qa | [
{
"content": "What is the name of the dog that looks like a mop?",
"role": "user"
},
{
"content": "There are a number of dogs with mop-like appearances. The two most famous examples are the Komondor, which is a Hungarian guard dog, and the Puli, which was bred as a herding dog. Another example includes the lesser-known Bergamasco Sheepdog.",
"role": "assistant"
}
]
| What is the name of the dog that looks like a mop? |
summarization | [
{
"content": "Exchanges and chains are a novel approach to expand the living donor pool. In February 2012, this novel approach to expand the living donor pool resulted in the largest chain in the world, involving 60 participants organized by the National Kidney Registry. In 2014 the record for the largest chain was broken again by a swap involving 70 participants. The acceptance of altruistic donors has enabled chains of transplants to form. Kidney chains are initiated when an altruistic donor donates a kidney to a patient who has a willing but incompatible donor. This incompatible donor then 'pays it forward' and passes on the generosity to another recipient who also had a willing but incompatible donor. Michael Rees from the University of Toledo developed the concept of open-ended chains. This was a variation of a concept developed at Johns Hopkins University. On 30 July 2008, an altruistic donor kidney was shipped via commercial airline from Cornell to UCLA, thus triggering a chain of transplants. The shipment of living donor kidneys, computer-matching software algorithms, and cooperation between transplant centers has enabled long-elaborate chains to be formed.\nhttps://en.wikipedia.org/wiki/Kidney_transplantation Based on this paragraph, give me a summary of what a kidney donor chain is.",
"role": "user"
},
{
"content": "When a donor wishes to give their kidney to a specific patient but they are not a match with that patient, they can join a kidney donor chain to accelerate the process of finding an organ for the patient. In exchange for giving their kidney to another patient, the patient they had wanted to help can be paired with another donor who is a match for them but not for the patient to whom they wish to donate their kidney.",
"role": "assistant"
}
]
| Exchanges and chains are a novel approach to expand the living donor pool. In February 2012, this novel approach to expand the living donor pool resulted in the largest chain in the world, involving 60 participants organized by the National Kidney Registry. In 2014 the record for the largest chain was broken again by a swap involving 70 participants. The acceptance of altruistic donors has enabled chains of transplants to form. Kidney chains are initiated when an altruistic donor donates a kidney to a patient who has a willing but incompatible donor. This incompatible donor then 'pays it forward' and passes on the generosity to another recipient who also had a willing but incompatible donor. Michael Rees from the University of Toledo developed the concept of open-ended chains. This was a variation of a concept developed at Johns Hopkins University. On 30 July 2008, an altruistic donor kidney was shipped via commercial airline from Cornell to UCLA, thus triggering a chain of transplants. The shipment of living donor kidneys, computer-matching software algorithms, and cooperation between transplant centers has enabled long-elaborate chains to be formed.
https://en.wikipedia.org/wiki/Kidney_transplantation Based on this paragraph, give me a summary of what a kidney donor chain is. |
open_qa | [
{
"content": "What is the process called by which matter is converted from a solid directly into gas?",
"role": "user"
},
{
"content": "Sublimation",
"role": "assistant"
}
]
| What is the process called by which matter is converted from a solid directly into gas? |
brainstorming | [
{
"content": "Give me a bulleted list of the the first five books in the bible old testament?",
"role": "user"
},
{
"content": "The first five books of the bible old testament are called the Pentateuch or the books of law\n1) The Book of Genesis - is an account of the creation of the world, the early history of humanity, and of Israel's ancestors and the origins of the Jewish people.\n2) The Book of Exodus - is the second book of the Bible. It narrates the story of the Exodus, in which the Israelites leave slavery in Biblical Egypt through the strength of Yahweh, who has chosen them as his people. \n3) The Book of Leviticus - The book has several main topics, some of which are the Jewish laws of sacrificing to God, and the work of the priests. These priests are sometimes known as Levites \n4) The Book of Numbers - is the culmination of the story of Israel's exodus from oppression in Egypt and their journey to take possession of the land God promised their fathers.\n5) The Book of Deuteronomy - is the covenant that binds Yahweh and Israel by oaths of fidelity and obedience. God will give Israel blessings of the land, fertility, and prosperity so long as Israel is faithful to God's teaching; disobedience will lead to curses and punishment.",
"role": "assistant"
}
]
| Give me a bulleted list of the the first five books in the bible old testament? |
open_qa | [
{
"content": "What is the name of Special Agent Dana Scully's daughter?",
"role": "user"
},
{
"content": "Dana Scully's daughter was Emily Sim. That was the name given to her by her adoptive parents.",
"role": "assistant"
}
]
| What is the name of Special Agent Dana Scully's daughter? |
classification | [
{
"content": "Which is a species of fish? Lion or Lionfish",
"role": "user"
},
{
"content": "Lionfish",
"role": "assistant"
}
]
| Which is a species of fish? Lion or Lionfish |
classification | [
{
"content": "Which of the following are types of tea and which are types of coffee: chamomile, herbal, French roast, double latte, Earl grey, English breakfast, and a cappuccino.",
"role": "user"
},
{
"content": "The teas are chamomile, herbal, Earl grey, and English breakfast, and the coffees are French roast, double latte, and cappuccino.",
"role": "assistant"
}
]
| Which of the following are types of tea and which are types of coffee: chamomile, herbal, French roast, double latte, Earl grey, English breakfast, and a cappuccino. |
closed_qa | [
{
"content": "A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks.\n\nProperties\nThough the term large language model has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-size, computing power) devoted to them, in a way that is not dependent on additional breakthroughs in design.\n\nThough trained on simple tasks along the lines of predicting the next word in a sentence, neural language models with sufficient training and parameter counts are found to capture much of the syntax and semantics of human language. In addition, large language models demonstrate considerable general knowledge about the world, and are able to \"memorize\" a great quantity of facts during training.\n\nHallucinations\nMain article: Hallucination (artificial intelligence)\nIn artificial intelligence in general, and in large language models in particular, a \"hallucination\" is a confident response that does not seem to be justified by the model's training data.\n\nEmergent abilities\n\nOn a number of natural language benchmarks involving tasks such as question answering, models perform no better than random chance until they reach a certain scale (in this case, measured by training computation), at which point their performance sharply increases. These are examples of emergent abilities.\nUnpredictable abilities that have been observed in large language models but that were not present in simpler models (and that were not explicitly designed into the model) are usually called \"emergent abilities\". Researchers note that such abilities \"cannot be predicted simply by extrapolating the performance of smaller models\". These abilities are discovered rather than programmed-in or designed, in some cases only after the LLM has been publicly deployed. Hundreds of emergent abilities have been described. Examples include multi-step arithmetic, taking college-level exams, identifying the intended meaning of a word, chain-of-thought prompting, decoding the International Phonetic Alphabet, unscrambling a word’s letters, identifying offensive content in paragraphs of Hinglish (a combination of Hindi and English), and generating a similar English equivalent of Kiswahili proverbs.\n\nArchitecture and training\nLarge language models have most commonly used the transformer architecture, which, since 2018, has become the standard deep learning technique for sequential data (previously, recurrent architectures such as the LSTM were most common). LLMs are trained in an unsupervised manner on unannotated text. A left-to-right transformer is trained to maximize the probability assigned to the next word in the training data, given the previous context. Alternatively, an LLM may use a bidirectional transformer (as in the example of BERT), which assigns a probability distribution over words given access to both preceding and following context. In addition to the task of predicting the next word or \"filling in the blanks\", LLMs may be trained on auxiliary tasks which test their understanding of the data distribution such as Next Sentence Prediction (NSP), in which pairs of sentences are presented and the model must predict whether they appear side-by-side in the training corpus.\n\nThe earliest LLMs were trained on corpora having on the order of billions of words. The first model in OpenAI's GPT series was trained in 2018 on BookCorpus, consisting of 985 million words. In the same year, BERT was trained on a combination of BookCorpus and English Wikipedia, totalling 3.3 billion words. In the years since then, training corpora for LLMs have increased by orders of magnitude, reaching up to hundreds of billions or trillions of tokens.\n\nLLMs are computationally expensive to train. A 2020 study estimated the cost of training a 1.5 billion parameter model (1-2 orders of magnitude smaller than the state of the art at the time) at $1.6 million.\n\nA 2020 analysis found that neural language models' capability (as measured by training loss) increased smoothly in a power law relationship with number of parameters, quantity of training data, and computation used for training. These relationships were tested over a wide range of values (up to seven orders of magnitude) and no attenuation of the relationship was observed at the highest end of the range (including for network sizes up to trillions of parameters).\n\nApplication to downstream tasks\nBetween 2018 and 2020, the standard method for harnessing an LLM for a specific natural language processing (NLP) task was to fine tune the model with additional task-specific training. It has subsequently been found that more powerful LLMs such as GPT-3 can solve tasks without additional training via \"prompting\" techniques, in which the problem to be solved is presented to the model as a text prompt, possibly with some textual examples of similar problems and their solutions.\n\nFine-tuning\nMain article: Fine-tuning (machine learning)\nFine-tuning is the practice of modifying an existing pretrained language model by training it (in a supervised fashion) on a specific task (e.g. sentiment analysis, named entity recognition, or part-of-speech tagging). It is a form of transfer learning. It generally involves the introduction of a new set of weights connecting the final layer of the language model to the output of the downstream task. The original weights of the language model may be \"frozen\", such that only the new layer of weights connecting them to the output are learned during training. Alternatively, the original weights may receive small updates (possibly with earlier layers frozen).\n\nPrompting\nSee also: Prompt engineering and Few-shot learning (natural language processing)\nIn the prompting paradigm, popularized by GPT-3, the problem to be solved is formulated via a text prompt, which the model must solve by providing a completion (via inference). In \"few-shot prompting\", the prompt includes a small number of examples of similar (problem, solution) pairs. For example, a sentiment analysis task of labelling the sentiment of a movie review could be prompted as follows:\n\nReview: This movie stinks.\nSentiment: negative\n\nReview: This movie is fantastic!\nSentiment:\n\nIf the model outputs \"positive\", then it has correctly solved the task. In zero-shot prompting, no solve examples are provided. An example of a zero-shot prompt for the same sentiment analysis task would be \"The sentiment associated with the movie review 'This movie is fantastic!' is\".\n\nFew-shot performance of LLMs has been shown to achieve competitive results on NLP tasks, sometimes surpassing prior state-of-the-art fine-tuning approaches. Examples of such NLP tasks are translation, question answering, cloze tasks, unscrambling words, and using a novel word in a sentence. The creation and optimisation of such prompts is called prompt engineering.\n\nInstruction tuning\nInstruction tuning is a form of fine-tuning designed to facilitate more natural and accurate zero-shot prompting interactions. Given a text input, a pretrained language model will generate a completion which matches the distribution of text on which it was trained. A naive language model given the prompt \"Write an essay about the main themes of Hamlet.\" might provide a completion such as \"A late penalty of 10% per day will be applied to submissions received after March 17.\" In instruction tuning, the language model is trained on many examples of tasks formulated as natural language instructions, along with appropriate responses. Various techniques for instruction tuning have been applied in practice. OpenAI's InstructGPT protocol involves supervised fine-tuning on a dataset of human-generated (prompt, response) pairs, followed by reinforcement learning from human feedback (RLHF), in which a reward function was learned based on a dataset of human preferences. Another technique, \"self-instruct\", fine-tunes the language model on a training set of examples which are themselves generated by an LLM (bootstrapped from a small initial set of human-generated examples).\n\nhttps://en.wikipedia.org/wiki/Large_language_model Given these paragraphs about Large language models, what is Instruction tuning?",
"role": "user"
},
{
"content": "Instruction tuning is a form of fine-tuning designed to facilitate more natural and accurate zero-shot prompting interactions.",
"role": "assistant"
}
]
| A large language model (LLM) is a language model consisting of a neural network with many parameters (typically billions of weights or more), trained on large quantities of unlabelled text using self-supervised learning. LLMs emerged around 2018 and perform well at a wide variety of tasks. This has shifted the focus of natural language processing research away from the previous paradigm of training specialized supervised models for specific tasks.
Properties
Though the term large language model has no formal definition, it often refers to deep learning models having a parameter count on the order of billions or more. LLMs are general purpose models which excel at a wide range of tasks, as opposed to being trained for one specific task (such as sentiment analysis, named entity recognition, or mathematical reasoning). The skill with which they accomplish tasks, and the range of tasks at which they are capable, seems to be a function of the amount of resources (data, parameter-size, computing power) devoted to them, in a way that is not dependent on additional breakthroughs in design.
Though trained on simple tasks along the lines of predicting the next word in a sentence, neural language models with sufficient training and parameter counts are found to capture much of the syntax and semantics of human language. In addition, large language models demonstrate considerable general knowledge about the world, and are able to "memorize" a great quantity of facts during training.
Hallucinations
Main article: Hallucination (artificial intelligence)
In artificial intelligence in general, and in large language models in particular, a "hallucination" is a confident response that does not seem to be justified by the model's training data.
Emergent abilities
On a number of natural language benchmarks involving tasks such as question answering, models perform no better than random chance until they reach a certain scale (in this case, measured by training computation), at which point their performance sharply increases. These are examples of emergent abilities.
Unpredictable abilities that have been observed in large language models but that were not present in simpler models (and that were not explicitly designed into the model) are usually called "emergent abilities". Researchers note that such abilities "cannot be predicted simply by extrapolating the performance of smaller models". These abilities are discovered rather than programmed-in or designed, in some cases only after the LLM has been publicly deployed. Hundreds of emergent abilities have been described. Examples include multi-step arithmetic, taking college-level exams, identifying the intended meaning of a word, chain-of-thought prompting, decoding the International Phonetic Alphabet, unscrambling a word’s letters, identifying offensive content in paragraphs of Hinglish (a combination of Hindi and English), and generating a similar English equivalent of Kiswahili proverbs.
Architecture and training
Large language models have most commonly used the transformer architecture, which, since 2018, has become the standard deep learning technique for sequential data (previously, recurrent architectures such as the LSTM were most common). LLMs are trained in an unsupervised manner on unannotated text. A left-to-right transformer is trained to maximize the probability assigned to the next word in the training data, given the previous context. Alternatively, an LLM may use a bidirectional transformer (as in the example of BERT), which assigns a probability distribution over words given access to both preceding and following context. In addition to the task of predicting the next word or "filling in the blanks", LLMs may be trained on auxiliary tasks which test their understanding of the data distribution such as Next Sentence Prediction (NSP), in which pairs of sentences are presented and the model must predict whether they appear side-by-side in the training corpus.
The earliest LLMs were trained on corpora having on the order of billions of words. The first model in OpenAI's GPT series was trained in 2018 on BookCorpus, consisting of 985 million words. In the same year, BERT was trained on a combination of BookCorpus and English Wikipedia, totalling 3.3 billion words. In the years since then, training corpora for LLMs have increased by orders of magnitude, reaching up to hundreds of billions or trillions of tokens.
LLMs are computationally expensive to train. A 2020 study estimated the cost of training a 1.5 billion parameter model (1-2 orders of magnitude smaller than the state of the art at the time) at $1.6 million.
A 2020 analysis found that neural language models' capability (as measured by training loss) increased smoothly in a power law relationship with number of parameters, quantity of training data, and computation used for training. These relationships were tested over a wide range of values (up to seven orders of magnitude) and no attenuation of the relationship was observed at the highest end of the range (including for network sizes up to trillions of parameters).
Application to downstream tasks
Between 2018 and 2020, the standard method for harnessing an LLM for a specific natural language processing (NLP) task was to fine tune the model with additional task-specific training. It has subsequently been found that more powerful LLMs such as GPT-3 can solve tasks without additional training via "prompting" techniques, in which the problem to be solved is presented to the model as a text prompt, possibly with some textual examples of similar problems and their solutions.
Fine-tuning
Main article: Fine-tuning (machine learning)
Fine-tuning is the practice of modifying an existing pretrained language model by training it (in a supervised fashion) on a specific task (e.g. sentiment analysis, named entity recognition, or part-of-speech tagging). It is a form of transfer learning. It generally involves the introduction of a new set of weights connecting the final layer of the language model to the output of the downstream task. The original weights of the language model may be "frozen", such that only the new layer of weights connecting them to the output are learned during training. Alternatively, the original weights may receive small updates (possibly with earlier layers frozen).
Prompting
See also: Prompt engineering and Few-shot learning (natural language processing)
In the prompting paradigm, popularized by GPT-3, the problem to be solved is formulated via a text prompt, which the model must solve by providing a completion (via inference). In "few-shot prompting", the prompt includes a small number of examples of similar (problem, solution) pairs. For example, a sentiment analysis task of labelling the sentiment of a movie review could be prompted as follows:
Review: This movie stinks.
Sentiment: negative
Review: This movie is fantastic!
Sentiment:
If the model outputs "positive", then it has correctly solved the task. In zero-shot prompting, no solve examples are provided. An example of a zero-shot prompt for the same sentiment analysis task would be "The sentiment associated with the movie review 'This movie is fantastic!' is".
Few-shot performance of LLMs has been shown to achieve competitive results on NLP tasks, sometimes surpassing prior state-of-the-art fine-tuning approaches. Examples of such NLP tasks are translation, question answering, cloze tasks, unscrambling words, and using a novel word in a sentence. The creation and optimisation of such prompts is called prompt engineering.
Instruction tuning
Instruction tuning is a form of fine-tuning designed to facilitate more natural and accurate zero-shot prompting interactions. Given a text input, a pretrained language model will generate a completion which matches the distribution of text on which it was trained. A naive language model given the prompt "Write an essay about the main themes of Hamlet." might provide a completion such as "A late penalty of 10% per day will be applied to submissions received after March 17." In instruction tuning, the language model is trained on many examples of tasks formulated as natural language instructions, along with appropriate responses. Various techniques for instruction tuning have been applied in practice. OpenAI's InstructGPT protocol involves supervised fine-tuning on a dataset of human-generated (prompt, response) pairs, followed by reinforcement learning from human feedback (RLHF), in which a reward function was learned based on a dataset of human preferences. Another technique, "self-instruct", fine-tunes the language model on a training set of examples which are themselves generated by an LLM (bootstrapped from a small initial set of human-generated examples).
https://en.wikipedia.org/wiki/Large_language_model Given these paragraphs about Large language models, what is Instruction tuning? |
classification | [
{
"content": "Identify which animal species is alive or extinct: Pliosaur, Marine Iguana",
"role": "user"
},
{
"content": "Pliosaur is extinct, Marine Iguana is alive.",
"role": "assistant"
}
]
| Identify which animal species is alive or extinct: Pliosaur, Marine Iguana |
creative_writing | [
{
"content": "Imagine you met an alien last night and write about this in your diary",
"role": "user"
},
{
"content": "Dear Diary,\n\t\t It was just past midnight when I suddenly heard a loud thump in the backyard yesterday. I mustered some courage to ensure the doors and windows are locked. But I saw something very bright, which made it difficult to stare at it, and then suddenly the lights faded and I saw an alien. I did pinch myself twice to ensure this wasn’t a dream. But then I realised it was not a dream when it was trying to figure out ways to get water from a pipe fixed to a tap and some of it splashed over me. And without my realisation, I was screaming at the top of my voice. Soon my mom came and I was about to explain to her what happened but there was no trace of the alien. Everyone tried to convince me it was a dream, but then I saw my shirt was still a bit wet from the water that had splashed.\n\nRegards,\nXYZ",
"role": "assistant"
}
]
| Imagine you met an alien last night and write about this in your diary |
general_qa | [
{
"content": "Does Delta Lake support writes or reads using the Spark Streaming DStream API?",
"role": "user"
},
{
"content": "Delta does not support the DStream API. We recommend Table streaming reads and writes.",
"role": "assistant"
}
]
| Does Delta Lake support writes or reads using the Spark Streaming DStream API? |
brainstorming | [
{
"content": "Give me a list of the best exploration-focused video games.",
"role": "user"
},
{
"content": "Here are some games where the primary goal is exploration:\n\n- Subnautica\n- Outer Wilds\n- Journey\n- No Man's Sky\n- Stray\n- Astroneer\n- Grow: Song of the Evertree\n- Firewatch\n- Call of the Sea\n- ABZU\n- What Remains of Edith Finch",
"role": "assistant"
}
]
| Give me a list of the best exploration-focused video games. |
open_qa | [
{
"content": "What are the words of House Ambrose?",
"role": "user"
},
{
"content": "\"Never Resting\"",
"role": "assistant"
}
]
| What are the words of House Ambrose? |
closed_qa | [
{
"content": "Chadwick is a village in Carroll County, Illinois, United States. The population was 481 at the 2020 census, down from 551 at the 2010 census.\n\nGeography\nChadwick is located at 42°0′51″N 89°53′21″W (42.014081, -89.889078).\n\nAccording to the 2021 census gazetteer files, Chadwick has a total area of 0.31 square miles (0.80 km2), all land.\n\nDemographics\nAs of the 2020 census there were 481 people, 256 households, and 163 families residing in the village. The population density was 1,546.62 inhabitants per square mile (597.15/km2). There were 246 housing units at an average density of 791.00 per square mile (305.41/km2). The racial makeup of the village was 96.67% White, 0.42% African American, 0.62% Asian, and 2.29% from two or more races. Hispanic or Latino of any race were 2.49% of the population.\n\nThere were 256 households, out of which 30.86% had children under the age of 18 living with them, 51.95% were married couples living together, 5.08% had a female householder with no husband present, and 36.33% were non-families. 31.25% of all households were made up of individuals, and 10.55% had someone living alone who was 65 years of age or older. The average household size was 2.61 and the average family size was 2.07.\n\nThe village's age distribution consisted of 15.5% under the age of 18, 6.0% from 18 to 24, 19.2% from 25 to 44, 35.5% from 45 to 64, and 23.6% who were 65 years of age or older. The median age was 50.4 years. For every 100 females, there were 128.0 males. For every 100 females age 18 and over, there were 125.8 males.\n\nThe median income for a household in the village was $50,000, and the median income for a family was $57,039. Males had a median income of $36,908 versus $25,652 for females. The per capita income for the village was $27,324. About 3.7% of families and 4.9% of the population were below the poverty line, including 11.0% of those under age 18 and 3.2% of those age 65 or over. Given a reference text about Chadwick, Illinois, tell me median family income and the percent of families below the poverty line.",
"role": "user"
},
{
"content": "The median family income in Chadwick, Illinois is $57,039 and about 3.7% of families live below the poverty line.",
"role": "assistant"
}
]
| Chadwick is a village in Carroll County, Illinois, United States. The population was 481 at the 2020 census, down from 551 at the 2010 census.
Geography
Chadwick is located at 42°0′51″N 89°53′21″W (42.014081, -89.889078).
According to the 2021 census gazetteer files, Chadwick has a total area of 0.31 square miles (0.80 km2), all land.
Demographics
As of the 2020 census there were 481 people, 256 households, and 163 families residing in the village. The population density was 1,546.62 inhabitants per square mile (597.15/km2). There were 246 housing units at an average density of 791.00 per square mile (305.41/km2). The racial makeup of the village was 96.67% White, 0.42% African American, 0.62% Asian, and 2.29% from two or more races. Hispanic or Latino of any race were 2.49% of the population.
There were 256 households, out of which 30.86% had children under the age of 18 living with them, 51.95% were married couples living together, 5.08% had a female householder with no husband present, and 36.33% were non-families. 31.25% of all households were made up of individuals, and 10.55% had someone living alone who was 65 years of age or older. The average household size was 2.61 and the average family size was 2.07.
The village's age distribution consisted of 15.5% under the age of 18, 6.0% from 18 to 24, 19.2% from 25 to 44, 35.5% from 45 to 64, and 23.6% who were 65 years of age or older. The median age was 50.4 years. For every 100 females, there were 128.0 males. For every 100 females age 18 and over, there were 125.8 males.
The median income for a household in the village was $50,000, and the median income for a family was $57,039. Males had a median income of $36,908 versus $25,652 for females. The per capita income for the village was $27,324. About 3.7% of families and 4.9% of the population were below the poverty line, including 11.0% of those under age 18 and 3.2% of those age 65 or over. Given a reference text about Chadwick, Illinois, tell me median family income and the percent of families below the poverty line. |
summarization | [
{
"content": "DNA sequencing may be used to determine the sequence of individual genes, larger genetic regions (i.e. clusters of genes or operons), full chromosomes, or entire genomes of any organism. DNA sequencing is also the most efficient way to indirectly sequence RNA or proteins (via their open reading frames). In fact, DNA sequencing has become a key technology in many areas of biology and other sciences such as medicine, forensics, and anthropology. Based on this paragraph, what are the main applications of DNA Sequencing?",
"role": "user"
},
{
"content": "DNA sequencing, can be used in many areas of healthcare and life sciences. For example, it can be used to identify the entire genome of an organism, or be used in areas such as medicine, forensics and anthropology.",
"role": "assistant"
}
]
| DNA sequencing may be used to determine the sequence of individual genes, larger genetic regions (i.e. clusters of genes or operons), full chromosomes, or entire genomes of any organism. DNA sequencing is also the most efficient way to indirectly sequence RNA or proteins (via their open reading frames). In fact, DNA sequencing has become a key technology in many areas of biology and other sciences such as medicine, forensics, and anthropology. Based on this paragraph, what are the main applications of DNA Sequencing? |
classification | [
{
"content": "Identify which instrument is string or percussion: Binzasara, Calabrian Lira",
"role": "user"
},
{
"content": "Calabrian Lira is string, Binzasara is percussion.",
"role": "assistant"
}
]
| Identify which instrument is string or percussion: Binzasara, Calabrian Lira |
general_qa | [
{
"content": "How do you play chess?",
"role": "user"
},
{
"content": "Chess is a game that is played on a checkerboard, which is composed of 64 alternating black and white squares that indicate where a player's pieces can be placed. There are six different types of pieces in chess, including: Pawns, Rooks, Bishops, Knights, a Queen, and a King. Each of these pieces can move on the board in different ways. The goal of the game is to utilize your pieces to capture your opponent's king. In a game of chess, players alternate turns moving one piece at a time. When a player moves a piece, they are either positioning the piece on an open square where no other piece is currently on, or they are capturing an opponent's piece. To win a game of chess, players will balance strategically positioning their pieces and capturing their opponent's pieces. Doing so will allow a player to have the opportunity to put their opponent in a position called \"Checkmate\". When a player is checkmated, it means that their King is in an attacking line of one or more of their opponent's pieces and they have no legal moves to escape this attack. If a player is checkmated, they have lost the game.",
"role": "assistant"
}
]
| How do you play chess? |
brainstorming | [
{
"content": "Give me a list of environment conscious clothing brands.",
"role": "user"
},
{
"content": "1. Patagonia\n2. Harvest & Mill\n3. Armedangels\n4. Honest Basics\n5. LangerChen\n6. Vaude\n7. Organic Basics\n8. Eileen Fisher\n9. Everlane\n10. Nudie Jeans",
"role": "assistant"
}
]
| Give me a list of environment conscious clothing brands. |
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