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open_qa
|
What is CRISPR?
|
CRISPR (an acronym for clustered regularly interspaced short palindromic repeats) is a family of DNA sequences found in the genomes of prokaryotic organisms such as bacteria and archaea. These sequences are derived from DNA fragments of bacteriophages that had previously infected the prokaryote. They are used to detect and destroy DNA from similar bacteriophages during subsequent infections. Hence these sequences play a key role in the antiviral (i.e. anti-phage) defense system of prokaryotes and provide a form of acquired immunity. CRISPR is found in approximately 50% of sequenced bacterial genomes and nearly 90% of sequenced archaea.
Cas9 (or "CRISPR-associated protein 9") is an enzyme that uses CRISPR sequences as a guide to recognize and cleave specific strands of DNA that are complementary to the CRISPR sequence. Cas9 enzymes together with CRISPR sequences form the basis of a technology known as CRISPR-Cas9 that can be used to edit genes within organisms. This editing process has a wide variety of applications including basic biological research, development of biotechnological products, and treatment of diseases. The development of the CRISPR-Cas9 genome editing technique was recognized by the Nobel Prize in Chemistry in 2020 which was awarded to Emmanuelle Charpentier and Jennifer Doudna.
In 2022, in a proceeding at the United States Patent and Trademark Office (interference 106,115), the Patent Trial and Appeal Board decided that the inventor for the US patent covering application of CRISPR-Cas9 in eukaryotic cells is Feng Zhang, a professor of the Broad Institute.
| 0.5654 |
|
general_qa
|
Test from Mike
|
Answer from Mike
| 0.5654 |
|
information_extraction
|
Extract all unique names from the provided paragraphs separated by comma.
|
Neville, Delroy, Keefe, Elaine, Andrea, Vickers
|
Neville shows to Det. Delroy a recently shot love scene between Keefe and Elaine, willingly pointing out a spousicide-related detail which compromises the already delicate position of the young widower. In light of this new evidence, Delroy tells the director that he will arrest the young man very soon. Neville telephones Keefe to warn him, telling him to come to his house at a certain time. The director also calls Elaine to his home, where he attempts to recreate the night of Andrea's murder, this time using Elaine. Det. Vickers watches Elaine enter the director's house from the street, but he misses Keefe, who breaks in through a window. He disrupts the liaison by pulling plug fuses out of the breaker box, shutting off the lights. Detective Vickers notices the lights shut off from the street and unsuccessfully tries to break in. In the house, Neville attacks Keefe with a pair of scissors, and the two struggle. Keefe throws Neville over a balcony, and he lands in an indoor fountain below together with a light. Simultaneously, Elaine restores electricity to the house, unknowingly electrocuting Neville to death.
| 0.5652 |
information_extraction
|
Change this sentence to paste tense
|
Elstow was a special service area within the Rural Municipality of Blucher No. 343 in Saskatchewan, Canada.
|
Elstow is a special service area within the Rural Municipality of Blucher No. 343 in Saskatchewan, Canada.
| 0.5652 |
creative_writing
|
Write a dplyr statement takes a dataframe, filters it by the tastiness string column for "super awesome" then creates a new column called pct_sugar that takes the total_sugar metric and divides it by mass
|
library(dplyr)
dataframe %>%
filter(tastiness == "super awesome") %>%
mutate(pct_sugar, total_sugar/mass)
| 0.5651 |
|
open_qa
|
What are the words of House Penrose?
|
"Set Down Our Deeds"
| 0.565 |
|
summarization
|
What kind of car was The Zuk
|
The Zuk (pl. beetle) was a van and light truck produced in Lublin, Poland, between 1958 and 1998 by FSC. It was based on FSO Warszawa, which in turn was licensed from the Soviet passenger car GAZ-M20 Pobeda. The chassis, suspension and engine from FSO Warszawa formed the basis of the Zuk and the Nysa light vans designed in the late 1950s. About 587818 were manufactured.
The Zuk was mainly sold to state organizations, but also to individuals. After 1989, with the liberalization of the Polish economy, the Zuk was able to maintain sales to the traditional markets and expand the number sold to individual consumers. The final few years of production was in parallel to its successor, the Lublin van, as a cheaper alternative.
|
The Żuk (pl. beetle) was a van and light truck produced in Lublin, Poland, between 1958 and 1998 by FSC. It was based on FSO Warszawa, which in turn was licensed from the Soviet passenger car GAZ-M20 Pobeda. The chassis, suspension and engine from FSO Warszawa formed the basis of the Żuk and the Nysa light vans designed in the late 1950s. About 587818 were manufactured.
The Żuk was mainly sold to state organizations, but also to individuals. After 1989, with the liberalization of the Polish economy, the Żuk was able to maintain sales to the traditional markets and expand the number sold to individual consumers. The final few years of production was in parallel to its successor, the Lublin van, as a cheaper alternative.
| 0.565 |
general_qa
|
Give me a funny fact
|
It takes guts to be an organ donor
| 0.5649 |
|
general_qa
|
Why questions boost creativity during brainstorming sessions
|
A compelling, well-timed question can activate lively discussions and unexpected solutions. A poor question meant as a shortcut to a solution can often get you blank stares and an awkward silence. We’ve all been there!
That’s why it’s important that team leaders utilize and prepare creative brainstorming questions that encourage free thinking, creativity, and, yes, even more questions from your team. At face value, facilitating a conversation that creates even more questions might seem like it could lead to wasted time, but it’s actually an effective way to help your team invest in solving the problem at hand and engage in dynamic solutions as a group.
Below we cover a wide range of brainstorming questions team leaders can use.
| 0.5647 |
|
information_extraction
|
Tell me about Clarence Adams
|
Clarence Richard Adams (born July 6, 1974) is an American former professional boxer who has won a world title in the Super Bantamweight weight division. He turned pro in 1990 at the age of 16. In 2000, he unanimously defeated Néstor Garza for the WBA super bantamweight title. In his first defence, he beat Andres Fernandez by 6th-round TKO. He defended the title one more time before vacating to fight Paulie Ayala. He retired in 2003 after drawing with journeyman Manuel Sepeda but returned to boxing in 2006. In 2009, he defeated veteran Alex "Ali" Baba in an 8th-round TKO. His last match was in 2010, a fourth-round technical knockout loss to Edel Ruiz. In 2015, Adams was ordered to spend half a year behind bars after pleading guilty to being part of a group of people involved with drug trafficking, fraud and prostitution. He now owns Bones Adams Gym in Las Vegas and is currently training Amir Khan's first-ever signing and protege, Tal Singh.
|
Clarence Richard Adams (born July 6, 1974) is an American former professional boxer. He has won a world title in the Super Bantamweight weight division.
Professional career
Adams turned pro in 1990, at the age of 16. In 2000 defeated Néstor Garza for the WBA super bantamweight title by unanimous decision. In his first defense he beat Andres Fernandez by 6th-round TKO. The fight ended when the referee stopped the fight and the ringside physician, Armando Sanchez, determined that Fernandez could not continue due to cuts.
Adams defended the title one more time before vacating to fight Paulie Ayala. He lost the bout by split decision in 2001, and also lost a rematch in 2002. Adams retired in 2003 after drawing with journeyman Manuel Sepeda, but returned to boxing in 2006. On June 12, 2009, Adams defeated veteran Alex "Ali" Baba in an 8th-round TKO.
His last match was in 2010, a fourth-round technical knockout loss to Edel Ruiz, which brought Adams’ record to 44-7-4 with 20 knockouts and 1 no contest.
In 2015, Adams was ordered to spend half a year behind bars after pleading guilty to being part of a group of people involved with drug trafficking, fraud and prostitution. Adams, who was a driver for the limousine company accused of the criminal activity, “admitted to playing a small role in the prostitution and drug dealing portions of the scheme.”
Adams now owns Bones Adams Gym in Las Vegas, a boxing training center. He played a key role in helping Blair Cobbs becoming a professional boxer. As of September 2021, Adams is now training Amir Khan's first-ever signing and protege, Tal Singh, a former England amateur champion, who he is hoping to guide towards a historic world title triumph. Adams also trains Shane Mosley Jr. in his Las Vegas gym.
| 0.5645 |
open_qa
|
Was Tyler Thompson a diplomat
|
Tyler Thompson (1907–2002) was an American Ambassador to Finland and Iceland. He also served as the Director General of the Foreign Service.
Tyler entered the Foreign Service in 1931 after graduating from Princeton University.
| 0.5643 |
|
closed_qa
|
Where does Kieran Liam McAnespie come from?
|
Kieran Liam McAnespie was born in England.
|
Kieran Liam McAnespie (born 11 September 1979) is a football manager and former player. Capable of playing as a full-back or winger, he appeared in the Scottish Premier League for St Johnstone and Hearts. Born in England, he represented the Scotland U21 national team internationally
| 0.5643 |
open_qa
|
What kind of dog breed do you get when you mate a poodle with an old english sheep dog?
|
sheepadoodle
| 0.5642 |
|
summarization
|
What text data set examples of Generative artificial intelligence
|
text data set examples of Generative artificial intelligence Data sets include BookCorpus, Wikipedia
|
A generative artificial intelligence or generative AI is a type of AI system capable of generating text, images, or other media in response to prompts. Generative AI systems use generative models such as large language models to statistically sample new data based on the training data set that was used to create them.
Notable generative AI systems include ChatGPT, a chatbot built by OpenAI using the GPT-3 and GPT-4 large language models and Bard, a chatbot built by Google using the LaMDA model. Other generative AI models include artificial intelligence art systems such as Stable Diffusion, Midjourney, and DALL-E.
Generative AI has potential applications across a wide range of industries, including software development, marketing, and fashion. Investment in generative AI surged during the early 2020s, with large companies such as Microsoft, Google, and Baidu as well as numerous smaller firms developing generative AI models.
Modalities
A detailed oil painting of figures in a futuristic opera scene
Théâtre d'Opéra Spatial, an image generated by Midjourney
A generative AI system is constructed by applying unsupervised or self-supervised machine learning to a data set. The capabilities of a generative AI system depend on the modality or type of the data set used.
Text: Generative AI systems trained on words or word tokens include GPT-3, LaMDA, LLaMA, BLOOM, GPT-4, and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation models for other tasks. Data sets include BookCorpus, Wikipedia, and others (see List of text corpora).
Code: In addition to natural language text, large language models can be trained on programming language text, allowing them to generate source code for new computer programs. Examples include OpenAI Codex.
Images: Generative AI systems trained on sets of images with text captions include such as Imagen, DALL-E, Midjourney, Stable Diffusion and others (see Artificial intelligence art, Generative art, Synthetic media). They are commonly used for text-to-image generation and neural style transfer. Datasets include LAION-5B and others (See Datasets in computer vision).
Molecules: Generative AI systems can be trained on sequences of amino acids or molecular representations such as SMILES representing DNA or proteins. These systems, such as AlphaFold, are used for protein structure prediction and drug discovery. Datasets include various biological datasets.
Music: Generative AI systems such as MusicLM can be trained on the audio waveforms of recorded music along with text annotations, in order to generate new musical samples based on text descriptions such as "a calming violin melody backed by a distorted guitar riff".
Video: Generative AI trained on annotated video can generate temporally-coherent video clips. Examples include Gen1 by RunwayML and Make-A-Video by Meta Platforms.
Multimodal: A generative AI system can be built from multiple generative models, or one model trained on multiple types of data. For example, one version of OpenAI's GPT-4 accepts both text and image inputs.
| 0.5639 |
open_qa
|
Tell me about the career of David Allen Laycock
|
David Allen Laycock (2 September 1947 – 16 September 2008) was an English professional cricketer. He played for Kent County Cricket Club between 1969 and 1973.
Laycock was born at Woolwich in east London in 1847. He first played for Kent's Second XI in 1966 and went on to make his first-class cricket debut in August 1969 against Leicestershire at Canterbury. After making five appearances for the First XI in 1969, including one in the John Player League, Laycock appeared infrequently for the side in the coming years. He made a total of 10 first-class[A] and five List A appearances for Kent between his debut and his final match in August 1973, playing as a batsman and occasional wicket-keeper in a strong Kent side which won the County Championship in 1970 and one-day trophies in each season between 1972 and 1974.
Despite playing 69 matches for the Second XI, including scoring runs during 1974,[B] Laycock was released by Kent at the endow the 1974 season. He became a postman, although he continued to coach cricket.
Laycock died at Eastbourne in Sussex in September 2008 after a long battle with brain cancer. He was 61.
| 0.5637 |
|
summarization
|
Who is Marina Vishmidt
|
Marina Vishmidt (born 1976) is an American writer, editor and critic. She lectures at the Centre for Cultural Studies at Goldsmiths, University of London in the MA program Culture Industry, and teaches Art Theory in the MA Art Praxis at the Dutch Art Institute in Arnhem. Her research mainly concerns the relationship between art, value and labour.
She further explores this through works on debt, social reproduction and artistic entrepreneurialism. In 2013, she completed her PhD entitled 'Speculation as a Mode of Production in Art and Capital' at the Queen Mary University of London.
|
Marina Vishmidt (born 1976) is an American writer, editor and critic. She lectures at the Centre for Cultural Studies at Goldsmiths, University of London in the MA program Culture Industry, and teaches Art Theory in the MA Art Praxis at the Dutch Art Institute in Arnhem. Her research mainly concerns the relationship between art, value and labour. She further explores this through works on debt, social reproduction and artistic entrepreneurialism. In 2013, she completed her PhD entitled 'Speculation as a Mode of Production in Art and Capital' at the Queen Mary University of London.
| 0.5635 |
creative_writing
|
Should we get rid of social media?
|
Social media has many benefits, such as keeping up with friends whom you may not call or text regularly or learning about a local garage sale, but there are many downsides too. The downsides outweigh the benefits. If you put them on a scale, the benefits of social media, such as learning about a nearby garage sale, might weigh 5 pounds on the said scale. However, the downsides, such as cyberbullying and the comparison game that constantly happens, especially for young teen girls, the weight of that is very heavy. It is causing self-harm, anxiety, depression, etc. While there are many benefits, they are much less significant than the downsides.
| 0.5635 |
|
open_qa
|
What are the words of House Fowler?
|
"Let Me Soar"
| 0.5633 |
|
open_qa
|
What are the words of House Swyft?
|
"Awake! Awake!"
| 0.5632 |
|
open_qa
|
Please give me details about the French submarine Requin
|
The French submarine Requin was the lead ship of the Requin-class submarines built for the French Navy in the mid-1920s. Laid down in June 1922, it was launched in July 1924 and commissioned in May 1926. It was captured by Italian forces at Bizerte, Tunisia on 8 December 1942 and renamed FR 113. On 9 September 1943, it was recaptured by German forces. It was sold for scrap in Genes, Italy in 1944.
Design
78 m (255 ft 11 in) long, with a beam of 6.8 m (22 ft 4 in) and a draught of 5.1 m (16 ft 9 in), Requin-class submarines could dive up to 80 m (260 ft). The submarine had a surfaced displacement of 1,150 tonnes (1,132 long tons) and a submerged displacement of 1,441 tonnes (1,418 long tons). Propulsion while surfaced was provided by two 2,900 hp (2,163 kW) diesel motors and two 1,800 hp (1,342 kW) electric motors. The submarines' electrical propulsion allowed it to attain speeds of 9 knots (17 km/h; 10 mph) while submerged and 15 knots (28 km/h; 17 mph) on the surface. Their surfaced range was 7,700 nautical miles (14,300 km) at 9 knots (17 km/h), and 4,000 nautical miles (7,400 km) at 12 knots (22 km/h), with a submerged range of 70 nautical miles (130 km) at 5 knots (9.3 km/h).
| 0.563 |
|
closed_qa
|
How large is the Gull Harbour and where exactly is it located
|
Gull Harbour, that has been formerly named as States Harbour or Great Harbour is the 1.3 km wide bay indenting for 2.8 km the east coast of Weddell Island in the Falkland Islands.
It is entered north of Gull Point and south of Mark Point, and is centred at 51°53′56″S 60°53′20″W. The principal settlement of the island, Weddell Settlement, is situated at the head of the bay. Until the mid-nineteenth century Gull Harbour was known as Great Harbour.
|
Gull Harbour (former names States Harbour, Great Harbour) is the 1.3 km wide bay indenting for 2.8 km the east coast of Weddell Island in the Falkland Islands. It is entered north of Gull Point and south of Mark Point, and is centred at 51°53′56″S 60°53′20″WCoordinates: 51°53′56″S 60°53′20″W. The principal settlement of the island, Weddell Settlement, is situated at the head of the bay. Until the mid-nineteenth century Gull Harbour was known as Great Harbour.
| 0.563 |
open_qa
|
What is geospatial data?
|
Geographic data and information, also known as geospatial data, is defined in the ISO/TC 211 series of standards as data and information having an implicit or explicit association with a location relative to Earth (a geographic location or geographic position). It is also called geospatial data and information,[citation needed] georeferenced data and information,[citation needed] as well as geodata and geoinformation.[citation needed]
Approximately 90% of government sourced data has a location component. Location information (known by the many names mentioned here) is stored in a geographic information system (GIS).
There are also many different types of geodata, including vector files, raster files, geographic databases, web files, and multi-temporal data.
Spatial data or spatial information is broader class of data whose geometry is relevant but it is not necessarily georeferenced, such as in computer-aided design (CAD), see geometric modeling.
| 0.5628 |
|
information_extraction
|
For what was Luigi Giura reknowned known.
|
Luigi Giura was an an Italian engineer and architected who lived from 1795 to 1865 and was famous for the design and construction of the second suspension bridge in Europe, which was the first suspension bridge within continental Europe.
Giura was born in Masschito, a small town within the Vulture-Melfi geographical region within the Basilicata administrative region in Southern Italy. He later was an inaugural student of the School of Bridges and Roads. After his graduation in 1814, he was admitted to the Corps of Bridges and Roads. During his time with the Corps of Bridges and Roads, he was able to undertake a series of study tours in Britain and France within which he became familiarized with their new perspectives and industrial developments.
The Corps of Bridges and Roads completed many projects while Giura was engaged, including channels for the flow of water in critical mountain areas. However, Luigi Guira is most famous for his suspension bridge designs including the Bridge Real Ferdinando sul Garigliano--the first suspension bridge in continental Europe-- and the Maria Cristina Bridge on the River Calore. He later returned as the director of the School of Bridges and Roads in 1860 and was sought as a public advisor to regional governments within Italy.
|
Giura was the Inspector of the Corps of Bridges and Roads of the Kingdom of the Two Sicilies. Giura is most famous for the design and construction of the second suspension bridge in Europe, the first in continental Europe, in 1832.
| 0.5628 |
open_qa
|
What is Methadone intermediate
|
Methadone intermediate is a methadone precursor scheduled by UN Single Convention on Narcotic Drugs. It is a Schedule II Narcotic controlled substance in the United States and has an ACSCN of 9254. The 2014 annual manufacturing quota was 32 875 kilos.
| 0.5627 |
|
classification
|
where is Shelburne?
|
Shelburne lies at the southwest corner of Nova Scotia, at roughly the same latitude as Portland, Maine in the United States. The Mi'kmaq call the large and well-sheltered harbour Logumkeegan or Sogumkeagum.
| 0.5627 |
|
general_qa
|
How do I optimize my Kafka consumption in Spark for low latency?
|
You can tune the batch size and processing time to ensure that your Spark job can keep up with the data volume and maintain low latency.
| 0.5625 |
|
open_qa
|
What is the Gun Show in New Zealand
|
Welcome to the Gun Show is a New Zealand music programme which first went to air on New Zealand's Alt TV, Sky Digital 65. The show is produced by former Lynfield College student Johnathon Leyland.
| 0.5624 |
|
creative_writing
|
Test
|
Mike
| 0.5622 |
|
information_extraction
|
Who owns ITV?
|
ITV plc owns all 13 ITV regions in England and Wales as well as UTV in Northern Ireland. STV Group owns the STV region in Scotland.
|
The history of ITV, the United Kingdom "Independent Television" commercial network, goes back to 1955.
Independent Television began as a network of independently-owned regional companies that were both broadcasters and programme makers, beginning with four companies operating six stations in three large regions in 1955–1956, and gradually expanding to 17 stations in 14 regions by 1962. Each regional station was responsible for its own branding, scheduling and advertising, with many peak-time programmes shared simultaneously across the whole network.
By 29 February 2016, 12 regions in England and Wales shared national ITV branding and scheduling, and, together with a 13th region UTV in Northern Ireland, were owned by a single company, ITV plc. A further two regions in Scotland carry STV branding and are owned by the STV Group.
| 0.5621 |
open_qa
|
2022 UEFA European Under 19 Championship qualification
|
The 2022 UEFA European Under-19 Championship qualifying competition was a men's under-19 football competition that determined the seven teams joining the automatically qualified hosts Slovakia in the 2022 UEFA European Under-19 Championship final tournament. Players born on or after 1 January 2003 were eligible to participate.
Originally, the qualifying competition would use a new format with teams split into three different leagues with promotion and relegation, with the draw of the first round under the new format already held in December 2019. However, on 17 June 2020, UEFA announced that the introduction of the new format had been postponed to the next edition due to the COVID-19 pandemic, and qualification for this edition would use the previous format involving two rounds only.
Apart from Slovakia, 53 of the remaining 54 UEFA member national teams entered the qualifying competition, where the original format consisted of a qualifying round that took place in autumn 2021, and an elite round that took place in spring 2022.
| 0.5618 |
|
summarization
|
What is the plot of the movie going wild
|
Going Wild is a 1930 Warner Brothers pre-Code comedy film based on the 1910 play The Aviator by James Montgomery and directed by William A. Seiter. The film stars many musical stars along with Joe E. Brown, Frank McHugh and Johnny Arthur.
A print is held in the Library of Congress collection.
Rollo Smith and his friend Jack Lane are down on their luck and have stowed away on a train, finding a place in the compartment of ace pilot and writer Robert Story. The conductor ejects Rollo and Jack from the train just where the famous writer is supposed to arrive, and Rollo is mistaken for Story.
Peggy Freeman and May Bunch both vie for Rollo's attention, believing that he is a famous pilot. The girls receive free room and meals at the Palm Inn. Rollo, who has never flown, is invited to fly in an air race as Story against a real aviator, "Ace" Benton, with a chance to win a $25,000 wager. After he somehow lifts the plane off the ground, Rollo can barely control the aircraft. Ferguson, the real pilot whom Peggy had locked in a closet, appears, but Rollo continues to unwittingly perform an aerial show, forcing Ace to abandon the race.
When Peggy accidentally pulls her parachute ring, Rollo joins her as they safely float to earth and he proposes.
|
Going Wild is a 1930 Warner Brothers pre-Code comedy film based on the 1910 play The Aviator by James Montgomery and directed by William A. Seiter. The film stars many musical stars along with Joe E. Brown, Frank McHugh and Johnny Arthur.
A print is held in the Library of Congress collection.
Plot
Rollo Smith and his friend Jack Lane are down on their luck and have stowed away on a train, finding a place in the compartment of ace pilot and writer Robert Story. The conductor ejects Rollo and Jack from the train just where the famous writer is supposed to arrive, and Rollo is mistaken for Story.
Peggy Freeman and May Bunch both vie for Rollo's attention, believing that he is a famous pilot. The girls receive free room and meals at the Palm Inn. Rollo, who has never flown, is invited to fly in an air race as Story against a real aviator, "Ace" Benton, with a chance to win a $25,000 wager. After he somehow lifts the plane off the ground, Rollo can barely control the aircraft. Ferguson, the real pilot whom Peggy had locked in a closet, appears, but Rollo continues to unwittingly perform an aerial show, forcing Ace to abandon the race.
When Peggy accidentally pulls her parachute ring, Rollo joins her as they safely float to earth and he proposes.
| 0.5618 |
general_qa
|
Brainstorm sea shanty lyrics
|
There once was a ship that went to sea, and they named her the O'Malley. It bobbed in the waves and tipped you see! The sea was rough and the weather went sour. Then the crew heaved every hour! Oh no, down she goes! Oh no, down she goes; Down O'Malley into the sea!
| 0.5614 |
|
creative_writing
|
Why is my buttercream frosting not white?
|
Clear vanilla is one of the best ways to keep your buttercream frosting as close to white as possible. If you use traditional or even artificial vanilla, it will turn your buttercream frosting into more of a cream color rather than pure white. Pure white buttercream does not exist, as the color of butter is slightly yellow, which will give your buttercream frosting a small amount of color. However, the most likely culprit of your tan buttercream is your traditional vanilla extract.
| 0.5613 |
|
closed_qa
|
Where is Lugașu de Jos
|
Lugașu de Jos is a commune in Bihor County, Crișana, Romania with a population of 3,580 people. It is composed of three villages: Lugașu de Jos, Lugașu de Sus (Felsolugos) and Urvind (Oervend).
|
Lugașu de Jos (Hungarian: Alsólugos, Slovak: Lugaše) is a commune in Bihor County, Crișana, Romania with a population of 3,580 people. It is composed of three villages: Lugașu de Jos, Lugașu de Sus (Felsőlugos) and Urvind (Örvénd).
| 0.561 |
summarization
|
Who is Marshall Strickland
|
Marshall Strickland (born March 1, 1983) is an American former professional basketball player. He played college basketball at Indiana University for four years from 2002 to 2006.
He is originally from Kingston, Massachusetts and went to Winchendon Prep in Winchendon before transferring to South Carroll High School in Carroll County, Maryland. He is 6 ft 2 in (1.88 m) tall and weighs 195 pounds (88 kg).
He is the son of Marshall and Joanna Strickland, and younger brother of former Maryland Terrapins star Marche Strickland. Marshall is a graduate of the University of Maryland School of Dentistry in 2017.
|
Marshall Strickland (born March 1, 1983) is an American former professional basketball player. He played college basketball at Indiana University for four years from 2002 to 2006. He is originally from Kingston, Massachusetts and went to Winchendon Prep in Winchendon before transferring to South Carroll High School in Carroll County, Maryland. He is 6 ft 2 in (1.88 m) tall and weighs 195 pounds (88 kg). He is the son of Marshall and Joanna Strickland, and younger brother of former Maryland Terrapins star Marche Strickland. Marshall is a graduate of the University of Maryland School of Dentistry in 2017.
| 0.5609 |
closed_qa
|
What is the top floor of the King's Building based on this article? What floor is found below that?
|
The top floor is Level 6, and below that is level 4U.
|
The King's Building is a Grade I listed building that forms part of the Strand Campus of King's College London in the United Kingdom. Originally named the College Building, the King's Building was designed by Sir Robert Smirke in the course of the College's foundation in 1829. As the founding building, it was built between 1829 and 1831 on land granted to King's College by the Government to complete the riverside frontage of Somerset House.
There are today a total of eight floors in the King's Building: Basement level, Ground level, Levels 1 to 4, Level 4U and Level 6. The King's Building houses a number of administrative departments (Estates & Facilities Offices, Admissions Office, Accommodation and Cashiers' Office), lecture theatres (most notably the Edmond J. Safra Lecture Theatre and Anatomy Lecture Theatre), the College Chapel, the Great Hall, various function rooms (Old Council Room, Committee Room, River Room, Somerset Room, St David's Room), study rooms and a catering outlet.
| 0.5608 |
information_extraction
|
What is HiFI?
|
Bell Laboratories began experimenting with a range of recording techniques in the early 1930s. Performances by Leopold Stokowski and the Philadelphia Orchestra were recorded in 1931 and 1932 using telephone lines between the Academy of Music in Philadelphia and the Bell labs in New Jersey. Some multitrack recordings were made on optical sound film, which led to new advances used primarily by MGM (as early as 1937) and Twentieth Century Fox Film Corporation (as early as 1941). RCA Victor began recording performances by several orchestras using optical sound around 1941, resulting in higher-fidelity masters for 78-rpm discs. During the 1930s, Avery Fisher, an amateur violinist, began experimenting with audio design and acoustics. He wanted to make a radio that would sound like he was listening to a live orchestra—that would achieve high fidelity to the original sound. After World War II, Harry F. Olson conducted an experiment whereby test subjects listened to a live orchestra through a hidden variable acoustic filter. The results proved that listeners preferred high-fidelity reproduction, once the noise and distortion introduced by early sound equipment was removed.[citation needed]
Beginning in 1948, several innovations created the conditions that made major improvements of home-audio quality possible:
Reel-to-reel audio tape recording, based on technology taken from Germany after WWII, helped musical artists such as Bing Crosby make and distribute recordings with better fidelity.
The advent of the 33⅓ rpm Long Play (LP) microgroove vinyl record, with lower surface noise and quantitatively specified equalization curves as well as noise-reduction and dynamic range systems. Classical music fans, who were opinion leaders in the audio market, quickly adopted LPs because, unlike with older records, most classical works would fit on a single LP.
Higher quality turntables, with more responsive needles
FM radio, with wider audio bandwidth and less susceptibility to signal interference and fading than AM radio.
Better amplifier designs, with more attention to frequency response and much higher power output capability, reproducing audio without perceptible distortion.
New loudspeaker designs, including acoustic suspension, developed by Edgar Villchur and Henry Kloss with improved bass frequency response.
In the 1950s, audio manufacturers employed the phrase high fidelity as a marketing term to describe records and equipment intended to provide faithful sound reproduction. Many consumers found the difference in quality compared to the then-standard AM radios and 78-rpm records readily apparent and bought high-fidelity phonographs and 33⅓ LPs such as RCA's New Orthophonics and London's FFRR (Full Frequency Range Recording, a UK Decca system). Audiophiles paid attention to technical characteristics and bought individual components, such as separate turntables, radio tuners, preamplifiers, power amplifiers and loudspeakers. Some enthusiasts even assembled their own loudspeaker systems. With the advent of integrated multi-speaker console systems in the 1950s, hi-fi became a generic term for home sound equipment, to some extent displacing phonograph and record player.
In the late 1950s and early 1960s, the development of stereophonic equipment and recordings led to the next wave of home-audio improvement, and in common parlance stereo displaced hi-fi. Records were now played on a stereo. In the world of the audiophile, however, the concept of high fidelity continued to refer to the goal of highly accurate sound reproduction and to the technological resources available for approaching that goal. This period is regarded as the "Golden Age of Hi-Fi", when vacuum tube equipment manufacturers of the time produced many models considered superior by modern audiophiles, and just before solid state (transistorized) equipment was introduced to the market, subsequently replacing tube equipment as the mainstream technology.
In the 1960s, the FTC with the help of the audio manufacturers came up with a definition to identify high fidelity equipment so that the manufacturers could clearly state if they meet the requirements and reduce misleading advertisements.
The metal–oxide–semiconductor field-effect transistor (MOSFET) was adapted into a power MOSFET for audio by Jun-ichi Nishizawa at Tohoku University in 1974. Power MOSFETs were soon manufactured by Yamaha for their hi-fi audio amplifiers. JVC, Pioneer Corporation, Sony and Toshiba also began manufacturing amplifiers with power MOSFETs in 1974. In 1977, Hitachi introduced the LDMOS (lateral diffused MOS), a type of power MOSFET. Hitachi was the only LDMOS manufacturer between 1977 and 1983, during which time LDMOS was used in audio power amplifiers from manufacturers such as HH Electronics (V-series) and Ashly Audio, and were used for music and public address systems. Class-D amplifiers became successful in the mid-1980s when low-cost, fast-switching MOSFETs were made available. Many transistor amps use MOSFET devices in their power sections, because their distortion curve is more tube-like.
A popular type of system for reproducing music beginning in the 1970s was the integrated music centre—which combined a phonograph turntable, AM-FM radio tuner, tape player, preamplifier, and power amplifier in one package, often sold with its own separate, detachable or integrated speakers. These systems advertised their simplicity. The consumer did not have to select and assemble individual components or be familiar with impedance and power ratings. Purists generally avoid referring to these systems as high fidelity, though some are capable of very good quality sound reproduction.
Audiophiles in the 1970s and 1980s preferred to buy each component separately. That way, they could choose models of each component with the specifications that they desired. In the 1980s, a number of audiophile magazines became available, offering reviews of components and articles on how to choose and test speakers, amplifiers, and other components.
Listening tests
See also: Codec listening test
Listening tests are used by hi-fi manufacturers, audiophile magazines, and audio engineering researchers and scientists. If a listening test is done in such a way that the listener who is assessing the sound quality of a component or recording can see the components that are being used for the test (e.g., the same musical piece listened to through a tube power amplifier and a solid-state amplifier), then it is possible that the listener's pre-existing biases towards or against certain components or brands could affect their judgment. To respond to this issue, researchers began to use blind tests, in which listeners cannot see the components being tested. A commonly used variant of this test is the ABX test. A subject is presented with two known samples (sample A, the reference, and sample B, an alternative), and one unknown sample X, for three samples total. X is randomly selected from A and B, and the subject identifies X as being either A or B. Although there is no way to prove that a certain methodology is transparent, a properly conducted double-blind test can prove that a method is not transparent.
Blind tests are sometimes used as part of attempts to ascertain whether certain audio components (such as expensive, exotic cables) have any subjectively perceivable effect on sound quality. Data gleaned from these blind tests is not accepted by some audiophile magazines such as Stereophile and The Absolute Sound in their evaluations of audio equipment. John Atkinson, current editor of Stereophile, stated that he once purchased a solid-state amplifier, the Quad 405, in 1978 after seeing the results from blind tests, but came to realize months later that "the magic was gone" until he replaced it with a tube amp. Robert Harley of The Absolute Sound wrote, in 2008, that: "...blind listening tests fundamentally distort the listening process and are worthless in determining the audibility of a certain phenomenon."
Doug Schneider, editor of the online Soundstage network, refuted this position with two editorials in 2009. He stated: "Blind tests are at the core of the decades' worth of research into loudspeaker design done at Canada's National Research Council (NRC). The NRC researchers knew that for their result to be credible within the scientific community and to have the most meaningful results, they had to eliminate bias, and blind testing was the only way to do so." Many Canadian companies such as Axiom, Energy, Mirage, Paradigm, PSB, and Revel use blind testing extensively in designing their loudspeakers. Audio professional Dr. Sean Olive of Harman International shares this view.
|
High fidelity (often shortened to Hi-Fi or HiFi) is the high-quality reproduction of sound. It is popular with audiophiles and home audio enthusiasts. Ideally, high-fidelity equipment has inaudible noise and distortion, and a flat (neutral, uncolored) frequency response within the human hearing range.
High fidelity contrasts with the lower-quality “lo-fi” sound produced by inexpensive audio equipment, AM radio, or the inferior quality of sound reproduction that can be heard in recordings made until the late 1940s.
| 0.5607 |
open_qa
|
What language is HP GL
|
HP-GL, short for Hewlett-Packard Graphics Language and often written as HPGL, is a printer control language created by Hewlett-Packard (HP). HP-GL was the primary printer control language used by HP plotters. It was introduced with the plotter HP-8972 in 1977 and became a standard for almost all plotters. Hewlett-Packard's printers also usually support HP-GL/2 in addition to PCL.
| 0.5604 |
|
general_qa
|
Q: What do I do if I get a rash or other reaction to hand sanitizer? What do I do if I have been exposed to contaminated hand sanitizer?
|
A: Call your doctor if you experience a serious reaction to hand sanitizer. People who have been exposed to contaminated hand sanitizer and are experiencing symptoms should seek immediate medical treatment for potential reversal of toxic effects.
The FDA encourages consumers and health care professionals to report adverse events experienced with the use of hand sanitizers to the FDA’s MedWatch Adverse Event Reporting program:
Complete and submit the report online; or
Download and complete the form, then submit it via fax at 1-800-FDA-0178.
Include as much information as you can about the product that caused the reaction, including the product name, the manufacturer, and the lot number (if available).
See Q&A for Consumers: Hand Sanitizers and COVID-19 and Safely Using Hand Sanitizer for more information.
| 0.5604 |
|
open_qa
|
Who is Luis Palomino
|
Luis Vicente Palomino (born October 9, 1980) is a Peruvian-American mixed martial artist and bare-knuckle fighter who is the current Lightweight and Welterweight champion for Bare Knuckle Fighting Championship, making him the first “double champ” in the BKFC. He also competed in the Lightweight division for the World Series of Fighting and Absolute Championship Berkut. In addition, he previously fought in the featherweight division.
In 2009, Palomino fought for Bellator Fighting Championships, where he competed in their Featherweight Tournament.
| 0.5603 |
|
summarization
|
Who is the company Sonova
|
Sonova Holding AG (Phonak Holding AG before 1 August 2007) is an internationally active Swiss group of companies headquartered in Staefa that specializes in hearing care (hearing instruments, cochlear implants, wireless communication).
The Sonova group operates through its core business brands Phonak, Unitron, Hansaton, Advanced Bionics, AudioNova and Sennheiser. It is one of the largest providers in the sector worldwide. The group and its brands hold 24% of the global hearing aid market in sales. As of 11 September 2022, Sonova is a component of the Swiss Market Index.
|
Sonova Holding AG (Phonak Holding AG before 1 August 2007) is an internationally active Swiss group of companies headquartered in Stäfa that specializes in hearing care (hearing instruments, cochlear implants, wireless communication). The Sonova group operates through its core business brands Phonak, Unitron, Hansaton, Advanced Bionics, AudioNova and Sennheiser. It is one of the largest providers in the sector worldwide. The group and its brands hold 24% of the global hearing aid market in sales. As of 11 September 2022, Sonova is a component of the Swiss Market Index.
| 0.5602 |
closed_qa
|
What kind of animal is the Iolaus crawshayi
|
Iolaus crawshayi, the Crawshay's sapphire, is a butterfly in the family Lycaenidae. It is found in Ethiopia, Somalia, Kenya, Uganda, the Democratic Republic of the Congo and Tanzania.
The habitat consists of moist savanna.
The larvae feed on the young leaves of Erianthemum dregei and Phragmanthera usuiensis. They are dull dirty whitish green or brown.
|
Iolaus crawshayi, the Crawshay's sapphire, is a butterfly in the family Lycaenidae. It is found in Ethiopia, Somalia, Kenya, Uganda, the Democratic Republic of the Congo and Tanzania. The habitat consists of moist savanna.
The larvae feed on the young leaves of Erianthemum dregei and Phragmanthera usuiensis. They are dull dirty whitish green or brown.
| 0.5602 |
summarization
|
Summarize disruptive innovation in two paragraphs
|
In business theory, disruptive innovation is innovation that creates a new market and value network or enters at the bottom of an existing market and eventually displaces established market-leading firms, products, and alliances. The concept was developed by the American academic Clayton Christensen and his collaborators beginning in 1995,[full citation needed] and has been called the most influential business idea of the early 21st century. Lingfei Wu, Dashun Wang, and James A. Evans generalized this term to identify disruptive science and technological advances from more than 65 million papers, patents and software products that span the period 1954–2014. Their work was featured as the cover of the February 2019 issue of Nature and was included among the Altmetric 100 most-discussed work in 2019.
Not all innovations are disruptive, even if they are revolutionary. For example, the first automobiles in the late 19th century were not a disruptive innovation, because early automobiles were expensive luxury items that did not disrupt the market for horse-drawn vehicles. The market for transportation essentially remained intact until the debut of the lower-priced Ford Model T in 1908. The mass-produced automobile was a disruptive innovation, because it changed the transportation market, whereas the first thirty years of automobiles did not.
Disruptive innovations tend to be produced by outsiders and entrepreneurs in startups, rather than existing market-leading companies. The business environment of market leaders does not allow them to pursue disruptive innovations when they first arise, because they are not profitable enough at first and because their development can take scarce resources away from sustaining innovations (which are needed to compete against current competition). Small teams are more likely to create disruptive innovations than large teams. A disruptive process can take longer to develop than by the conventional approach and the risk associated to it is higher than the other more incremental, architectural or evolutionary forms of innovations, but once it is deployed in the market, it achieves a much faster penetration and higher degree of impact on the established markets.
|
disruptive innovation is innovation that creates a new market and value network or enters at the bottom of an existing market and eventually displaces established market-leading firms, products, and alliances.The concept was developed by the American academic Clayton Christensen and his collaborators and has been called the most influential business idea of the early 21st century.
Disruptive innovations tend to be produced by outsiders and entrepreneurs in startups, rather than existing market-leading companies. The business environment of market leaders does not allow them to pursue disruptive innovations when they first arise, because they are not profitable enough at first and because their development can take scarce resources away from sustaining innovations
| 0.5599 |
summarization
|
Who won the 63rd staging of the Limerick Senior Hurling Championship?
|
The 1957 Limerick Senior Hurling Championship was the 63rd staging of the Limerick Senior Hurling Championship since its establishment by the Limerick County Board in 1887.
Cappamore were the defending champions, however, they were defeated by St. Patrick's.
On 29 September 1957, Claughaun won the championship after a 7-07 to 3-02 defeat of St. Patrick's in the final. It was their sixth championship title overall and their first championship title since 1926.
|
On 29 September 1957, Claughaun won the championship after a 7-07 to 3-02 defeat of St. Patrick's in the final.
| 0.5598 |
open_qa
|
Wat id DNA annotation?
|
DNA annotation or genome annotation is the process of identifying the locations of genes and all of the coding regions in a genome and determining what those genes do. An annotation (irrespective of the context) is a note added by way of explanation or commentary. Once a genome is sequenced, it needs to be annotated to make sense of it. Genes in a eukaryotic genome can be annotated using various annotation tools such as FINDER. A modern annotation pipeline can support a user-friendly web interface and software containerization such as MOSGA. Modern annotation pipelines for prokaryotic genomes are Bakta, Prokka and PGAP.
For DNA annotation, a previously unknown sequence representation of genetic material is enriched with information relating genomic position to intron-exon boundaries, regulatory sequences, repeats, gene names and protein products. This annotation is stored in genomic databases such as Mouse Genome Informatics, FlyBase, and WormBase. Educational materials on some aspects of biological annotation from the 2006 Gene Ontology annotation camp and similar events are available at the Gene Ontology website.
The National Center for Biomedical Ontology develops tools for automated annotation of database records based on the textual descriptions of those records.
As a general method, dcGO has an automated procedure for statistically inferring associations between ontology terms and protein domains or combinations of domains from the existing gene/protein-level annotations.
| 0.5598 |
|
general_qa
|
Why are over partitioned tables poor data layout strategy
|
Over-partitioning creates physical boundaries beyond which the file compaction and z-ordering aren’t effective and you’re still left with the small files problems. With Delta, a better strategy is to use combination of partitioning and z-ordering to allow for better file layouts.
Would be helpful to understand the business requirements & design details behind these highly partitioned tables you have in parquet today
| 0.5597 |
|
general_qa
|
How do I train my dog to not pee in the house?
|
Puppies do best on a regular schedule. The schedule teaches them that there are times to eat, times to play and times to do their business. Typically, a puppy can control their bladder one hour for every month of age. So if your puppy is 2 months old, they can hold it for about two hours. Don't go longer than this between bathroom breaks or they’re likely to have an accident.
Take your puppy outside frequently—at least every two hours—and immediately after they wake up, during and after playing, and after eating or drinking.
Pick a bathroom spot outside, and always take your puppy (on a leash) to that spot. While your puppy is relieving themselves, use a specific word or phrase that you can eventually use before they go to remind them what to do. Take them out for a longer walk or some playtime only after they have eliminated.
Reward your puppy every time they eliminate outdoors. Praise or give treats—but remember to do so immediately after they’ve finished, not after they come back inside. This step is vital, because rewarding your dog for going outdoors is the only way to teach what's expected of them. Before rewarding, be sure they’re finished. Puppies are easily distracted and if you praise too soon, they may forget to finish until they’re back in the house.
Put your puppy on a regular feeding schedule. What goes into a puppy on a schedule comes out of a puppy on a schedule. Depending on their age, puppies may need to be fed two or three times a day. Feeding your puppy at the same times each day will make it more likely that they'll eliminate at consistent times as well, making house training easier for both of you.
Pick up your puppy's water dish about two and a half hours before bedtime to reduce the likelihood that they'll need to relieve themselves during the night. Most puppies can sleep for approximately seven hours without needing a bathroom break. If your puppy does wake you up in the night, don't make a big deal of it; otherwise, they will think it is time to play and won't want to go back to sleep. Turn on as few lights as possible, don't talk to or play with your puppy, take them out to the spot where they relieve themselves and then return them to bed.
| 0.5596 |
|
closed_qa
|
Tell me about the career of Erik Dekker
|
Hendrik "Erik" Dekker (born 21 August 1970) is a retired Dutch professional road racing cyclist active from 1992 until 2006. He was a member of the Rabobank cycling team from 1992 till 2006. From 2007 to 2015 he was one of Rabobank's team managers.
Cycling career
Amateur career
Dekker rode his first race at eight, and soon became successful. In 1985 he was invited to join the national selection for juniors. As an amateur, his most important results were second places at the youth world championships in Bergamo in 1987 and at the road race in the 1992 Summer Olympics. In that Olympic road race, Dekker got away at 30 km before the finish, together with Fabio Casartelli and Dainis Ozols. Dekker was outsprinted by Casartelli, but was so happy that he won a medal that he also finished with his arms in the air.
Directly after the Olympic Games, he became professional, and rode his first race a few weeks later in the Tour de l'Avenir.
Professional career
His first win as a professional was a stage of the Tour of the Basque Country of 1994, the year he rode his first Tour de France. In 1997 Dekker won the Ronde van Nederland, but a large part of 1998 was lost because of injuries.
The year 2000 was Dekker's best. He won three stages in the 2000 Tour de France, although neither a sprinter nor a favourite for the overall win, and was voted most combative cyclist. In the autumn of that year, Dekker won his first classic, the Clásica de San Sebastián.
In 2001 Dekker won the Amstel Gold Race and the UCI Road World Cup. In the 2001 Tour de France he took a stage, after having helped his teammate Marc Wauters to a stage win. At the end of the year he was named Dutch Sportsman of the year.
The years 2002 and 2003 were less successful because of injuries. He came back in 2004 in the spring classics and a victory in Paris–Tours. He had announced his retirement for the autumn of 2006, but he crashed heavily in the 2006 Tour de France and decided to stop.
Managing career
In 2007, Dekker started as team manager of the Rabobank team. At the end of the 2015 season, he left the team.
|
Hendrik "Erik" Dekker (born 21 August 1970) is a retired Dutch professional road racing cyclist active from 1992 until 2006. He was a member of the Rabobank cycling team from 1992 till 2006. From 2007 to 2015 he was one of Rabobank's team managers.
Cycling career
Amateur career
Dekker rode his first race at eight, and soon became successful. In 1985 he was invited to join the national selection for juniors. As an amateur, his most important results were second places at the youth world championships in Bergamo in 1987 and at the road race in the 1992 Summer Olympics. In that Olympic road race, Dekker got away at 30 km before the finish, together with Fabio Casartelli and Dainis Ozols. Dekker was outsprinted by Casartelli, but was so happy that he won a medal that he also finished with his arms in the air.
Directly after the Olympic Games, he became professional, and rode his first race a few weeks later in the Tour de l'Avenir.
Professional career
His first win as a professional was a stage of the Tour of the Basque Country of 1994, the year he rode his first Tour de France. In 1997 Dekker won the Ronde van Nederland, but a large part of 1998 was lost because of injuries.
The year 2000 was Dekker's best. He won three stages in the 2000 Tour de France, although neither a sprinter nor a favourite for the overall win, and was voted most combative cyclist. In the autumn of that year, Dekker won his first classic, the Clásica de San Sebastián.
In 2001 Dekker won the Amstel Gold Race and the UCI Road World Cup. In the 2001 Tour de France he took a stage, after having helped his teammate Marc Wauters to a stage win. At the end of the year he was named Dutch Sportsman of the year.
The years 2002 and 2003 were less successful because of injuries. He came back in 2004 in the spring classics and a victory in Paris–Tours. He had announced his retirement for the autumn of 2006, but he crashed heavily in the 2006 Tour de France and decided to stop.
Managing career
In 2007, Dekker started as team manager of the Rabobank team. At the end of the 2015 season, he left the team.
| 0.5594 |
general_qa
|
Is Python or Java a better programming language?
|
Python and Java are two of the most popular and robust programming languages. Java is the fifth most commonly used programming language according to Stack Overflow. Java is generally faster and more efficient than Python because it is a compiled language. While it's one of the coding languages considered to be easy to learn because many of the processes of this high-level language run automatically. However, Python still takes the cake in terms of simplicity.
As an interpreted language, Python has simpler, more concise syntax than Java. It can perform the same function as Java in fewer lines of code. Python also offers extensive libraries, especially around data analysis and machine learning. Because it's dynamically typed, it allows for even fast development compared to Java.
Other key differences include how each handles memory management and the ability to run multiple threads at the same time.
For example, lets dive into this threading difference. Java fully supports multithreading. When you use Java, you can run more than one thread at a time. When running multiple threads, they share a common memory area to increase efficiency and performance. Now if you search the web for threading in Python you might be a bit confused. You will find articles claiming that Python can't support multithreading but then you will also find tutorials and packages for threading and parallel processing. Python has a Global Interpreter Lock that only lets one thread execute at a time, so if you're working on a multi-threaded CPU-bound program, it'll likely be even slower. However, it's threading package allows you to speed up I/O bound programs. Using multiprocessing programs instead of multithreaded programs can be an effective workaround.
The answer to which is better is largely dependent on the user and the use case. Before learning one or starting a new project with either, think about what your goals are and decide which one fits those more closely.
| 0.5593 |
|
open_qa
|
Which country was the first to introduce old age pensions
|
Germany
| 0.5592 |
|
open_qa
|
Which African country was founded by Americans
|
Liberia
| 0.559 |
|
general_qa
|
Classify the overall sentiment of this piece of text as either positive or negative: The little girl really wanted to buy that beautiful dress but her mom did not have enough money.
|
Negative
| 0.5589 |
|
open_qa
|
Danny Kaye Humanitarian Award 2019, was given to?
|
Priyanka Chopra, an Indian Actress
| 0.5587 |
|
open_qa
|
Best film in Motion Picture 27th Screen Actors Guild(SAG) Awards was given to which film?
|
Chicago 7
| 0.5587 |
|
information_extraction
|
From the passage identify the type of video games which Gamezebo reviews. Display the results in a comma separated format.
|
casual games, social games
|
Gamezebo (sometimes stylized GameZebo) is a website which reports on and reviews video games. Founded in 2005 by Joel Brodie, it originally focused on casual games before expanding its scope to social games in 2009. After being acquired by the causal game company iWin in 2016, Gamezebo was redesigned and expanded its coverage to PC games. It is based in Walnut Creek, California. Gamezebo was launched in 2005. It was founded by Joel Brodie, the former head of business development at Yahoo! Games. Brodie found that many video game publications "looked down" on casual games and started the website to review and cover news on the genre. It was billed as the first website which solely covered casual games.Gamezebo and the Casual Games Association launched the Zeebys in 2007, which were awarded to casual games. In 2008, it held another installment of the Zebbys which was aired on Lifetime and was nominated for a Webby Award for 'Games-Related' websites. It used RSS for its content feed. In 2009, Gamezebo expanded its scope with the growing popularity of social games such as FarmVille (2009). By February 2010, it had a staff and twenty freelance journalists. The website was redesigned in 2014.In 2015, editor-in-chief Jim Squires told MacRumors that Gamezebo was struggling as larger mobile developers shifted away from traditional advertising. In March 2016, Gamezebo was acquired by casual game company iWin. It launched another redesign shortly after, improving navigation and expanding its coverage to PC games. Gamezebo, Inc. is based in Walnut Creek, California.
| 0.5587 |
closed_qa
|
what was population of India during Mauryan Era?
|
It was around 31,000,000 during Maurya Era (200BC) .
|
Prehistory to early 19th century
The following table lists estimates for the population of India (including what are now Pakistan and Bangladesh) from prehistory up until 1820. It includes estimates and growth rates according to five economic historians, along with interpolated estimates and overall aggregate averages derived from their estimates.[citation needed]
Estimates of historical world population
Year Aggregate average Period Average
% growth
/ century
Population % of World population
10,000 BC 1,000 0.83% Stone Age 30.28
4000 BC 1,000,000 30.83%
2000 BC 13,000,000 37.143% Bronze Age 26.25
500 BC 25,000,000 41.70% Iron Age
400 BC 26,000,000 43.96%
200 BC 31,000,000 47.63% Maurya era
1 AD 35,000,000 35.56% Classical
era
200 41,000,000 36.15%
400 47,000,000 40%
500 50,000,000 43.58%
600 53,000,000 48.83% Early
medieval
era
700 60,000,000 56.67%
800 64,000,000 55%
900 70,000,000 53.34%
1000 79,000,000 30%
1100 83,000,000 35% Late
medieval
era
1200 86,000,000 36.67%
1300 91,000,000 38.34%
1400 97,000,000 30%
1500 105,000,000 21.67%
1600 140,000,000 23.33% Early modern era
1650 170,000,000 26.15%
1700 140,000,000 20%
1750 183,000,000 21.53%
1800 200,000,000 20%
1820 210,000,000 19.09%
The population grew from the South Asian Stone Age in 10,000 BC to the Maurya Empire in 200 BC at a steadily increasing growth rate, before population growth slowed down in the Early Medieval Era up to 700 AD, and then started decreasing the up to 1500 AD.
Under Mughal Empire, India experienced a high economic and demographic upsurge, due to Mughal agrarian reforms that intensified agricultural production. 15% of the population lived in urban centres, higher than the percentage of the population in 19th-century British India and contemporary Europe up until the 19th century. Those estimates were criticised by Tim Dyson, who considers them exaggerations. According to Dyson, urbanisation of the Mughal empire was less than 9%
Under the reign of Akbar (reigned 1556–1605) in 1600, the Mughal Empire's urban population was up to 17 million people, larger than the urban population in Europe. By 1700, Mughal India had an urban population of 23 million people, larger than British India's urban population of 22.3 million in 1871. Nizamuddin Ahmad (1551–1621) reported that, under Akbar's reign, Mughal India had 120 large cities and 3,200 townships. A number of cities in India had a population between a quarter-million and half-million people, with larger cities including Agra (in Agra Subah) with up to 800,000 people and Dhaka (in Bengal Subah) with over 1 million people. Mughal India also had a large number of villages, with 455,698 villages by the time of Aurangzeb (reigned 1658–1707).
| 0.5585 |
general_qa
|
Which technology is best to learn for 2023 and the future?
|
Artificial Intelligence, which is also popularly known as (AI), hits the top of the list of technologies 2023 to learn. Artificial Intelligence is very much high in demand today, where today, the machines are known to have brilliant skills to study, think, and examine without the need for human efforts.
| 0.5585 |
|
brainstorming
|
Top 3 Hindi Movie
|
1. Dilwale Dhulhaniya Le Jayenge
2. Dil Chata hai
3. Jindegi Na mile Dobara
| 0.5585 |
|
creative_writing
|
Write about the potential ethical concerns of de-identification techniques.
|
One of the ethical issues associated with the technique of suppression is the further underrepresentation of historically underrepresented groups. For example, within the MOOC dataset there exists only one row affiliated with a user from Antartica (continent). Similarly, the following countries have also appeared once or twice only in the entire dataset: San Marino, Falkland Islands, and Brunei. Geographically underrepresented, these pieces of information would get entirely eliminated under the suppression technique. This presents an ethical paradox: on one hand, we wish to preserve k-anonymity and protect the privacy of users from underrepresented regions; on the other hand, to reach that goal we would have to erase their existence in the dataset and further reinforce the pre-existing underrepresentation. Another example would be the column of the year of birth. The MOOCs user population are overrepresented by young people, whereas users over 80 years old only take a proportion less than 1% in the entire dataset. In particular, if we were to use the suppression technique to achieve k-anonymity, almost every piece of information associated with users over 80 years old would have to be discarded. Again, the elderly have been historically underrepresented in the industry of education, yet by using suppression, we protect their privacy at the expense of representation.
This loss of representation as a result of suppression is detrimental at multiple aspects and therefore deserves attention. As the MOOCs platform is deprived of relevant information on these users, the company will lose sight of the potential demand that these underrepresented groups have for online education, thereby failing to reach them through marketing and advertisement. Besides straining the platform’s user base and profitability, this would worsen the situation that the underrepresented groups have limited resources to online education. Moreover, inferences on the suppressed dataset could reinforce the societal bias that certain groups of people are not open to education – such as the elderly – whereas the reality is simply that we erase the information on the elderly who actively engage in online education platforms. As a result, the elderly could feel themselves further distanced from the mainstream media and technology. Therefore, using suppression alone to achieve k-anonymity within a dataset, while effective, could be complicated by the ethical issue of underrepresentation.
| 0.5585 |
|
closed_qa
|
What is SVM?
|
SVM stands for ""support vector machine". It is a machine learning model for supervised learning tasks. It was popular in the 1990s and early 2000s, before deep learning take off. The classic use case is binary classification, but its extension can also do multi-label classification as we as regression. Kernel methods greatly enhanced SVM's capability to perform non-linear machine learning tasks.
|
In machine learning, support vector machines (SVMs, also support vector networks) are supervised learning models with associated learning algorithms that analyze data for classification and regression analysis. Developed at AT&T Bell Laboratories by Vladimir Vapnik with colleagues (Boser et al., 1992, Guyon et al., 1993, Cortes and Vapnik, 1995, Vapnik et al., 1997[citation needed]) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974). Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples to one category or the other, making it a non-probabilistic binary linear classifier (although methods such as Platt scaling exist to use SVM in a probabilistic classification setting). SVM maps training examples to points in space so as to maximise the width of the gap between the two categories. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall.
In addition to performing linear classification, SVMs can efficiently perform a non-linear classification using what is called the kernel trick, implicitly mapping their inputs into high-dimensional feature spaces.
The support vector clustering algorithm, created by Hava Siegelmann and Vladimir Vapnik, applies the statistics of support vectors, developed in the support vector machines algorithm, to categorize unlabeled data.[citation needed] These data sets require unsupervised learning approaches, which attempt to find natural clustering of the data to groups and, then, to map new data according to these clusters.
| 0.5583 |
open_qa
|
Best places to visit in India During Winter to experience Snowfall
|
Kashmir, Manali, Shimla, Sikkim, Tawang
| 0.5582 |
|
open_qa
|
in which city was the first public opera house opened
|
Venice
| 0.5579 |
|
closed_qa
|
What is First-stage boot loader
|
The first-stage bootloader (FSBL) is the first boot stage for the HPS. In FPGA Configuration First mode, the SDM extracts and loads the FSBL into the on-chip RAM of the HPS. The SDM releases the HPS from reset after the FPGA has entered user mode. After the HPS exits reset, it uses the FSBL hardware handoff file to setup the clocks, HPS dedicated I/Os, and peripherals. Typically, the FSBL then loads the SSBL into HPS SDRAM and passes the control to the SSBL.
|
Boot loaders may face peculiar constraints, especially in size; for instance, on the earlier IBM PC and compatibles, a boot sector should typically work in only 32 KiB (later relaxed to 64 KiB) of system memory and only use instructions supported by the original 8088/8086 processors. The first stage of PC boot loaders (FSBL, first-stage boot loader) located on fixed disks and removable drives must fit into the first 446 bytes of the Master boot record in order to leave room for the default 64-byte partition table with four partition entries and the two-byte boot signature, which the BIOS requires for a proper boot loader — or even less, when additional features like more than four partition entries (up to 16 with 16 bytes each), a disk signature (6 bytes), a disk timestamp (6 bytes), an Advanced Active Partition (18 bytes) or special multi-boot loaders have to be supported as well in some environments. In floppy and superfloppy volume boot records, up to 59 bytes are occupied for the extended BIOS parameter block on FAT12 and FAT16 volumes since DOS 4.0, whereas the FAT32 EBPB introduced with DOS 7.1 requires even 87 bytes, leaving only 423 bytes for the boot loader when assuming a sector size of 512 bytes. Microsoft boot sectors therefore traditionally imposed certain restrictions on the boot process, for example, the boot file had to be located at a fixed position in the root directory of the file system and stored as consecutive sectors,conditions taken care of by the SYS command and slightly relaxed in later versions of DOS.The boot loader was then able to load the first three sectors of the file into memory, which happened to contain another embedded boot loader able to load the remainder of the file into memory.When Microsoft added LBA and FAT32 support, they even switched to a boot loader reaching over two physical sectors and using 386 instructions for size reasons. At the same time other vendors managed to squeeze much more functionality into a single boot sector without relaxing the original constraints on only minimal available memory (32 KiB) and processor support (8088/8086). For example, DR-DOS boot sectors are able to locate the boot file in the FAT12, FAT16 and FAT32 file system, and load it into memory as a whole via CHS or LBA, even if the file is not stored in a fixed location and in consecutive sectors.
BIOS and UEFI not only load the operating system from a non-volatile device, they also initialize system hardware for operating system.
Examples of first-stage bootloaders include BIOS, coreboot, Libreboot and Das U-Boot.
| 0.5578 |
open_qa
|
What is geomorphometry?
|
Geomorphometry, or geomorphometrics, is the science and practice of measuring the characteristics of terrain, the shape of the surface of the Earth, and the effects of this surface form on human and natural geography. It gathers various mathematical, statistical and image processing techniques that can be used to quantify morphological, hydrological, ecological and other aspects of a land surface. Common synonyms for geomorphometry are geomorphological analysis (after geomorphology), terrain morphometry, terrain analysis, and land surface analysis. Geomorphometrics is the discipline based on the computational measures of the geometry, topography and shape of the Earth's horizons, and their temporal change. This is a major component of geographic information systems (GIS) and other software tools for spatial analysis.
In simple terms, geomorphometry aims at extracting (land) surface parameters (morphometric, hydrological, climatic etc.) and objects (watersheds, stream networks, landforms etc.) using input digital land surface model (also known as digital elevation model, DEM) and parameterization software.[Extracted surface parameters and objects can then be used, for example, to improve mapping and modelling of soils, vegetation, land use, geomorphological and geological features and similar.
With the rapid increase of sources of DEMs today (and especially due to the Shuttle Radar Topography Mission and LIDAR-based projects), extraction of land surface parameters is becoming more and more attractive to numerous fields ranging from precision agriculture, soil-landscape modelling, climatic and hydrological applications to urban planning, education and space research. The topography of almost all Earth has been today sampled or scanned, so that DEMs are available at resolutions of 100 m or better at global scale. Land surface parameters are today successfully used for both stochastic and process-based modelling, the only remaining issue being the level of detail and vertical accuracy of the DEM.
| 0.5577 |
|
closed_qa
|
Which company introduced new kits for Marseille?
|
Adidas
|
This new season Adidas introduced Marseille's new kits, and these new ones are very different from last season, except the home kit, the colours of Marseille still stay white and sky blue. The away kit is an impressive kit with it being sky blue and has shades of black. The third kit was so far used in European competitions only. This kit is a full black kit but still has a little sky blue. In all of Marseille's kits there is one their main colour sky blue one.
| 0.5577 |
open_qa
|
who is nayanthara ?
|
Nayanthara is an Indian actress who is well known in Tamil, Telugu and Malayalam film Industry.
| 0.5577 |
|
closed_qa
|
What is the name of William Gibson's first comic book series?
|
Archangel
|
Archangel, also written as William Gibson Archangel or William Gibson's Archangel, is a five-issue limited series comic book that was created by William Gibson and Michael St. John Smith, written by William Gibson, illustrated by Butch Guice and story-edited by Michael Benedetto. It is Gibson's first comic book series, which is set in an alternative version of 2016 in which the Vice President of America travels back in time to 1945 to secure power.
IDW Publishing first released Archangel from May 2016 to August 2017, then in October as a hardcover graphic novel. It was nominated for an Eisner Award for Best Limited Series and was adapted into an audio play that was released by Audible.
| 0.5575 |
closed_qa
|
Given these paragraphs about Large language models, when did LLMs emerge?
|
Around 2018.
|
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
| 0.5575 |
closed_qa
|
Why was Advani concerned about Modi’s appointment as a chief minister of Gujarat?
|
For Modi being a candidate for the chief minister of Gujarat, Advani was concerned about Modi’s lack of political experience.
|
In 2001, Keshubhai Patel's health was failing and the BJP lost a few state assembly seats in by-elections. Allegations of abuse of power, corruption and poor administration were made, and Patel's standing had been damaged by his administration's handling of the earthquake in Bhuj in 2001. The BJP national leadership sought a new candidate for the chief ministership, and Modi, who had expressed misgivings about Patel's administration, was chosen as a replacement. Although Advani did not want to ostracise Patel and was concerned about Modi's lack of experience in government, Modi declined an offer to be Patel's deputy chief minister, telling Advani and Atal Bihari Vajpayee that he was "going to be fully responsible for Gujarat or not at all". On 3 October 2001 he replaced Patel as chief minister of Gujarat, with the responsibility of preparing the BJP for the December 2002 elections. On 7 October, he was sworn in, and entered the Gujarat state legislature on 24 February 2002 by winning a by-election to the Rajkot – II constituency, defeating Ashwin Mehta of the INC.
| 0.5574 |
open_qa
|
who is called God Of The Offside ?
|
Sourav Ganguly who was Indian skipper was famously called as The God of the offside. Because he was second to none when he caressed the ball through the covers or cut it fiercely past point.It was known that this nickname was given by Rahul Dravid.
| 0.5572 |
|
information_extraction
|
Describe Lie Algebra
|
Unfortunately, there is no universally accepted definition of a simple Lie group. In particular, it is not always defined as a Lie group that is simple as an abstract group. Authors differ on whether a simple Lie group has to be connected, or on whether it is allowed to have a non-trivial center, or on whether
�
\mathbb {R} is a simple Lie group.
The most common definition is that a Lie group is simple if it is connected, non-abelian, and every closed connected normal subgroup is either the identity or the whole group. In particular, simple groups are allowed to have a non-trivial center, but
�
\mathbb {R} is not simple.
In this article the connected simple Lie groups with trivial center are listed. Once these are known, the ones with non-trivial center are easy to list as follows. Any simple Lie group with trivial center has a universal cover, whose center is the fundamental group of the simple Lie group. The corresponding simple Lie groups with non-trivial center can be obtained as quotients of this universal cover by a subgroup of the center.
Alternatives
An equivalent definition of a simple Lie group follows from the Lie correspondence: A connected Lie group is simple if its Lie algebra is simple. An important technical point is that a simple Lie group may contain discrete normal subgroups. For this reason, the definition of a simple Lie group is not equivalent to the definition of a Lie group that is simple as an abstract group.
Simple Lie groups include many classical Lie groups, which provide a group-theoretic underpinning for spherical geometry, projective geometry and related geometries in the sense of Felix Klein's Erlangen program. It emerged in the course of classification of simple Lie groups that there exist also several exceptional possibilities not corresponding to any familiar geometry. These exceptional groups account for many special examples and configurations in other branches of mathematics, as well as contemporary theoretical physics.
As a counterexample, the general linear group is neither simple, nor semisimple. This is because multiples of the identity form a nontrivial normal subgroup, thus evading the definition. Equivalently, the corresponding Lie algebra has a degenerate Killing form, because multiples of the identity map to the zero element of the algebra. Thus, the corresponding Lie algebra is also neither simple nor semisimple. Another counter-example are the special orthogonal groups in even dimension. These have the matrix
−
�
-I in the center, and this element is path-connected to the identity element, and so these groups evade the definition. Both of these are reductive groups.
|
In mathematics, a simple Lie group is a connected non-abelian Lie group G which does not have nontrivial connected normal subgroups. The list of simple Lie groups can be used to read off the list of simple Lie algebras and Riemannian symmetric spaces.
Together with the commutative Lie group of the real numbers,
\mathbb {R} , and that of the unit-magnitude complex numbers, U(1) (the unit circle), simple Lie groups give the atomic "blocks" that make up all (finite-dimensional) connected Lie groups via the operation of group extension. Many commonly encountered Lie groups are either simple or 'close' to being simple: for example, the so-called "special linear group" SL(n) of n by n matrices with determinant equal to 1 is simple for all n > 1.
The first classification of simple Lie groups was by Wilhelm Killing, and this work was later perfected by Élie Cartan. The final classification is often referred to as Killing-Cartan classification.
| 0.5572 |
open_qa
|
Who wrote Vande Mataram poem?
|
Vande Mataram is a poem written in sanskritised Bengali by Bankim Chandra Chatterjee. The poem was first published in 1882 as part of Chatterjee's Bengali novel Anandmath.
| 0.5571 |
|
open_qa
|
What is Brdinje
|
Brdinje (pronounced [bəɾˈdiːnjɛ]) is a dispersed settlement in the hills southeast of Ravne na Koroškem in the Carinthia region in northern Slovenia
| 0.5571 |
|
closed_qa
|
What is disadvantage of naive algorithm of simple random sampling?
|
The drawback of this method is that it requires random access in the set.
|
Several efficient algorithms for simple random sampling have been developed. A naive algorithm is the draw-by-draw algorithm where at each step we remove the item at that step from the set with equal probability and put the item in the sample. We continue until we have sample of desired size
�
k. The drawback of this method is that it requires random access in the set.
The selection-rejection algorithm developed by Fan et al. in 1962 requires a single pass over data; however, it is a sequential algorithm and requires knowledge of total count of items
�
n, which is not available in streaming scenarios.
A very simple random sort algorithm was proved by Sunter in 1977. The algorithm simply assigns a random number drawn from uniform distribution
(
0
,
1
)
(0,1) as a key to each item, then sorts all items using the key and selects the smallest
�
k items.
J. Vitter in 1985 proposed reservoir sampling algorithms, which are widely used. This algorithm does not require knowledge of the size of the population
�
n in advance, and uses constant space.
Random sampling can also be accelerated by sampling from the distribution of gaps between samples and skipping over the gaps.
| 0.557 |
open_qa
|
What is the movie The Airzone Solution
|
The Airzone Solution (stylized as The AirZone Solution?), is a 1993 British sci-fi-thriller film, produced by BBV. It was written by Nicholas Briggs and directed by Bill Baggs. It stars Colin Baker, Nicola Bryant, Peter Davison, Sylvester McCoy, Jon Pertwee and Heather Tracy.
| 0.557 |
|
open_qa
|
"We can do it" slogan / catchphrase - Who made it?
|
Westing House Electric Company
| 0.5569 |
|
open_qa
|
Who explored New World?
|
Christopher Columbus
| 0.5568 |
|
open_qa
|
The movie Marquise of Armiani
|
The Marquise of Armiani (German: Die Marchesa d'Armiani) is a 1920 German silent film directed by Alfred Halm and starring Pola Negri, Ernst Dernburg, and Elsa Wagner.
The film's sets were designed by the art director Kurt Richter.
Cast
Pola Negri as Marchesa Assunta
Ernst Dernburg as Polizeichef
Elsa Wagner as Assuntas Mutter
Max Pohl
Fritz Schulz
| 0.5567 |
|
information_extraction
|
Who are Sinti people?
|
Sinti are a group of people mostly settled in Germany but also settled in other European countries.
|
The Sinti are a subgroup of Romani people mostly found in Germany. They arrived in Austria and Germany in the Late Middle Ages as part of the Romani emigration from the Indian Subcontinent, eventually splitting into two groups: Eftavagarja ("the Seven Caravans") and Estraxarja ("from Austria"). They arrived in Germany before 1540. The two groups expanded, the Eftavagarja into France, Portugal and Brazil, where they are called "Manouches", and the Estraxarja into Italy and Central Europe, mainly what are now Croatia, Slovenia, Hungary, Romania, the Czech Republic and Slovakia, eventually adopting various regional names.
| 0.5567 |
closed_qa
|
Based on this paragrah, what indie band released the album "Popsicle"?
|
Diamond Nights
|
Popsicle is an alternative rock album by indie band Diamond Nights, released in 2005. The song "The Girl's Attractive" was featured in a 2006 Jaguar and an Austrian beer (Stiegl) advertisement, as well on the "Thirst" and "Nicodemus" episodes of the TV drama Smallville, and was included on its second Soundtrack The Metropolis Mix .
| 0.5567 |
open_qa
|
Which was the 5th largest recipient of FDI in world in 2020
|
India
| 0.5566 |
|
open_qa
|
What was the first credit card
|
Diners Club
| 0.5566 |
|
brainstorming
|
Who is the best cricketer in the world
|
1. Sachin Tendulkar - because he faced all famous pace and spin bowlers
| 0.5565 |
|
open_qa
|
Who was the Father of Elizabeth II ?
|
King George VI
| 0.5564 |
|
summarization
|
What is dhollywood?
|
Dhollywood is a nickname for movies made by Gujarati cinema in India.
|
Gujarati cinema, also known as Dhollywood, is the Gujarati language film industry. It is one of the major regional and vernacular film industries of the cinema of India, having produced more than one thousand films since its inception.
| 0.5563 |
open_qa
|
What is India’s rank in UN Human Development Index 2021?
|
132nd (total nations 191)
| 0.5563 |
|
summarization
|
What is the Eupithecia spinibarbata
|
The Eupithecia spinibarbata is a moth in the family Geometridae. It is found in India (Darjeeling).
The wingspan is about 19 mm. The forewings are pale whitish grey.
|
Eupithecia spinibarbata is a moth in the family Geometridae. It is found in India (Darjeeling).
The wingspan is about 19 mm. The forewings are pale whitish grey.
| 0.5563 |
open_qa
|
What city in Mexico is often referred to as San Pancho?
|
San Francisco
| 0.5562 |
|
information_extraction
|
What is Huallacancha?
|
Huallacancha is a mountain in the Andes of Peru that is approximately 18,045 ft high.
|
Huallacancha or Huallacanecha (possibly from Quechua walla mountain range, kancha enclosure, enclosed place, yard, a frame, or wall that encloses) is a mountain in the Pariacaca mountain range in the Andes of Peru, about 5,500 metres (18,045 ft) high. It is situated in the Junín Region, Yauli Province, on the border of the districts Suitucancha and Yauli. Huallacancha lies south-east of the mountain Qarwachuku, west of the mountain Ukhu Qhata and north of the mountain Wayllakancha.
| 0.5562 |
general_qa
|
who is the worlds most popular cricketer?
|
Virat kholi is the worlds most popular cricketer with over 242 million instagram followers
| 0.5561 |
|
open_qa
|
What is a good Science fiction book?
|
Foundation by Asimov, Isaac
| 0.5561 |
|
summarization
|
Who was Raghib Pasha?
|
Raghib Pasha was a Greek Ottoman politician who served in various roles in Egypt during the mid to late 1800s, including Prime Minister of Egypt for a brief period.
|
Isma'il ibn Ahmad ibn Hassan bani Yani (Arabic: إسماعيل بن أحمد بن حسن بني يني), known simply as Isma'il Ragheb Pasha (Arabic: إسماعيل راغب باشا) (1819–1884), was a Greek Ottoman politician who served as a Prime Minister of Egypt and held several other high-ranking government positions.
Isma'il Ragheb was of Greek ancestry and was born in Greece on 18 August 1819 on either the island of Chios following the great massacre of Candia, Crete. After being kidnapped to Anatolia he was brought to Egypt as a slave by Ibrahim Pasha in 1830 and was converted to Islam. Immediately following his arrival, he studied at al-Maktab al-Amiri and obtained his advanced degree in 1834. He was fluent in Greek and was elevated to the rank of First Lieutenant by Egypt's viceroy Muhammad Ali Pasha. In 1836, he became head of the Accounting and Revenue Agencies. He was promoted to the rank of bikbashi (Lieutenant Colonel) in 1840, then kaymakam (Colonel) in 1844, and finally amiralay (Brigadier General) in 1846.[citation needed]
He held the positions of Minister of Finance (1858–1860), then Minister of War (1860–1861).[citation needed] He became Inspector for the Maritime Provinces in 1862, and later Assistant (Arabic: باشمعاون) to viceroy Isma'il Pasha (1863–1865). He was granted the title of beylerbey and then appointed President of the Privy council in 1868. He was appointed President of the Chamber of Deputies (1866–1867), then Minister of Interior in 1867, then Minister of Agriculture and Trade in 1875.[citation needed] He again held the Finance portfolio in Muhammad Sharif Pasha's first government (1879). After the fall of Mahmoud Sami el-Baroudi's government, Isma'il Ragheb became Prime Minister of Egypt in 1882.[citation needed] Although his government was short-lived (it lasted from 17 June to 21 August only), it was the only one to present concrete programs. His achievements include the modernisation of the budget through the inventory of revenues and expenses, the Law on Salaries, and the La'eha Sa'ideyya as well as several agricultural laws.[citation needed]
Isma'il Ragheb died in 1884.[citation needed]
| 0.5559 |
open_qa
|
In 1899 the Eastman company in the USA produced first what
|
Kodak 1 - hand held
| 0.5558 |
|
summarization
|
Please give a summary of the type of recordings Spalding made by year.
|
1925: Vertically-cut acoustic recordings
1926: First electrical recordings for Brunswick Records
1928: Electrical recordings using Edison hill-and-dale Diamond Discs and "Needle Cut" recordings.
|
During the 78 era, when the maximum capacity of a single ordinary record side or cylinder was less than five minutes, Spalding recorded extensively for Edison Records, with some issues on cylinders and many more on diamond discs. Most featured short works or encore pieces that could fit on a single record side. These recordings were all by the acoustical process, as well as vertically-cut, through 1925, but he made his first electrical recordings in 1926 for Brunswick Records using that company's problematic "Light-Ray" system. After his unsatisfactory experience with Brunswick, Spalding went back to Edison and made some electrical Edison hill-and-dale Diamond Discs as well as a very few Edison "Needle Cut" lateral recordings in late 1928. These were much better recorded than Spalding's Brunswicks, but the Diamond Discs sold as scantily as the rest of Edison's product in that period, and the "Needle-Cut" discs were issued only for a very short time—from August to November 1929—and are exceedingly rare today. Following the Edison company's demise in November 1929, he recorded a handful of more extended works broken across multiple sides for RCA Victor Records.
| 0.5558 |
open_qa
|
Who founded Amazon?
|
Jeff Bezos
| 0.5558 |
|
open_qa
|
The founder of Gupta dynasty was
|
The founder of the Gupta dynasty was Chandragupta Maurya.
| 0.5558 |
|
closed_qa
|
When was Telangana created?
|
2014
|
Telangana (/ˌtɛlənˈɡɑːnə/ (listen); Telugu: [ˈtelaŋɡaːɳa], Urdu: [ˈtɪləŋɡɑːna] (listen)) is a state in India situated on the south-central stretch of the Indian peninsula on the high Deccan Plateau. It is the eleventh-largest state and the twelfth-most populated state in India with a geographical area of 112,077 km2 (43,273 sq mi) and 35,193,978 residents as per 2011 census. On 2 June 2014, the area was separated from the northwestern part of Andhra Pradesh as the newly formed state of Telangana, with Hyderabad as its capital. Its other major cities include Warangal, Nizamabad, Khammam, Karimnagar and Ramagundam. Telangana is bordered by the states of Maharashtra to the north, Chhattisgarh to the northeast, Karnataka to the west, and Andhra Pradesh to the east and south. The terrain of Telangana consists mostly of the Deccan Plateau with dense forests covering an area of 27,292 km2 (10,538 sq mi). As of 2019, the state of Telangana is divided into 33 districts.
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information_extraction
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What are Indic languages?
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Indic languages are the languages spoken in the Republic of India composed of Indo-Aryan languages and Dravidian languages.
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Languages spoken in the Republic of India belong to several language families, the major ones being the Indo-Aryan languages spoken by 78.05% of Indians and the Dravidian languages spoken by 19.64% of Indians, both families together are sometimes known as Indic languages.Languages spoken by the remaining 2.31% of the population belong to the Austroasiatic, Sino–Tibetan, Tai–Kadai, and a few other minor language families and isolates. As per the People's Linguistic Survey of India, India has the second highest number of languages (780), after Papua New Guinea (840). Ethnologue lists a lower number of 456.
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closed_qa
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Based on this passage, in what field did Raisa earn her PhD?
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Based on this passage, Raisa did not earn a PhD. She abandoned her graduate studies in Moscow in order to join Gorbachev in Stavropol.
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In June 1955, Gorbachev graduated with a distinction; his final paper had been on the advantages of "socialist democracy" (the Soviet political system) over "bourgeois democracy" (liberal democracy). He was subsequently assigned to the Soviet Procurator's office, which was then focusing on the rehabilitation of the innocent victims of Stalin's purges, but found that they had no work for him. He was then offered a place on an MSU graduate course specializing in kolkhoz law, but declined. He had wanted to remain in Moscow, where Raisa was enrolled in a PhD program, but instead gained employment in Stavropol; Raisa abandoned her studies to join him there.
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closed_qa
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Which duke visited Swarcliffe Hall in 1888?
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Prince Albert Victor
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Swarcliffe Hall is a large hall that was constructed in 1800 in Birstwith, near Harrogate, England. The current house was built by John Greenwood in 1850, who engaged Major Rohde Hawkins as his architect, and is a Grade II listed building.
The original Swarcliffe Hall was built on the site c1800 by the Blessard family, however the current hall which was built by the Greenwood family was completed in 1850. Charlotte Brontë was employed as a governess at the hall in 1839 and it is said her time spent there helped inspire her novel Jane Eyre.
Prince Albert Victor, Duke of Clarence and Avondale visited the hall in 1888 and again during the following year whilst opening the New Bath Hospital in nearby Harrogate.
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