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When did Virgin Australia start operating?
Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia'...
Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia'...
[]
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Virgin Australia commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route.
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When was Tomoaki Komorida born?
Komorida was born in Kumamoto Prefecture on July 10, 1981. After graduating from high school, he joined the J1 League club Avispa Fukuoka in 2000. Although he debuted as a midfielder in 2001, he did not play much and the club was relegated to the J2 League at the end of the 2001 season. In 2002, he moved to the J2 club...
Komorida was born in Kumamoto Prefecture on July 10, 1981. After graduating from high school, he joined the J1 League club Avispa Fukuoka in 2000. Although he debuted as a midfielder in 2001, he did not play much and the club was relegated to the J2 League at the end of the 2001 season. In 2002, he moved to the J2 club...
[]
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Tomoaki Komorida was born on July 10,1981.
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If I have more pieces at the time of stalemate, have I won?
Stalemate is a situation in chess where the player whose turn it is to move is not in check and has no legal move. Stalemate results in a draw. During the endgame, stalemate is a resource that can enable the player with the inferior position to draw the game rather than lose. In more complex positions, stalemate is muc...
Stalemate is a situation in chess where the player whose turn it is to move is not in check and has no legal move. Stalemate results in a draw. During the endgame, stalemate is a resource that can enable the player with the inferior position to draw the game rather than lose. In more complex positions, stalemate is muc...
[]
{ "start": [ 37 ], "end": [ 46 ], "label": [ "TIME" ], "text": [ "stalemate" ], "score": [ 0.8354788422584534 ] }
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{ "start": [ 579 ], "end": [ 591 ], "label": [ "TIME" ], "text": [ "19th century" ], "score": [ 0.5480685830116272 ] }
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No. Stalemate is a drawn position. It doesn't matter who has captured more pieces or is in a winning position
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Given a reference text about Lollapalooza, where does it take place, who started it and what is it?
Lollapalooza /ˌlɒləpəˈluːzə/ (Lolla) is an annual American four-day music festival held in Grant Park in Chicago. It originally started as a touring event in 1991, but several years later, Chicago became its permanent location. Music genres include but are not limited to alternative rock, heavy metal, punk rock, hip ho...
Lollapalooza /ˌlɒləpəˈluːzə/ (Lolla) is an annual American four-day music festival held in Grant Park in Chicago. It originally started as a touring event in 1991, but several years later, Chicago became its permanent location. Music genres include but are not limited to alternative rock, heavy metal, punk rock, hip ho...
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Lollapalooze is an annual musical festival held in Grant Park in Chicago, Illinois. It was started in 1991 as a farewell tour by Perry Farrell, singe of the group Jane's Addiction. The festival includes an array of musical genres including alternative rock, heavy metal, punk rock, hip hop, and electronic dance music. T...
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{}
Who was John Moses Browning?
John Moses Browning (January 23, 1855 – November 26, 1926) was an American firearm designer who developed many varieties of military and civilian firearms, cartridges, and gun mechanisms – many of which are still in use around the world. He made his first firearm at age 13 in his father's gun shop and was awarded the f...
John Moses Browning (January 23, 1855 – November 26, 1926) was an American firearm designer who developed many varieties of military and civilian firearms, cartridges, and gun mechanisms – many of which are still in use around the world. He made his first firearm at age 13 in his father's gun shop and was awarded the f...
[]
{ "start": [ 8 ], "end": [ 27 ], "label": [ "PER" ], "text": [ "John Moses Browning" ], "score": [ 0.9999618530273438 ] }
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{ "start": [ 0 ], "end": [ 19 ], "label": [ "PER" ], "text": [ "John Moses Browning" ], "score": [ 0.9999603033065796 ] }
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John Moses Browning is one of the most well-known designer of modern firearms. He started building firearms in his father's shop at the age of 13, and was awarded his first patent when he was 24. He designed the first reliable automatic pistol, and the first gas-operated firearm, as well inventing or improving singl...
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Who is Thomas Jefferson?
Thomas Jefferson (April 13, 1743 – July 4, 1826) was an American statesman, diplomat, lawyer, architect, philosopher, and Founding Father who served as the third president of the United States from 1801 to 1809. Among the Committee of Five charged by the Second Continental Congress with authoring the Declaration of Ind...
Thomas Jefferson (April 13, 1743 – July 4, 1826) was an American statesman, diplomat, lawyer, architect, philosopher, and Founding Father who served as the third president of the United States from 1801 to 1809. Among the Committee of Five charged by the Second Continental Congress with authoring the Declaration of Ind...
[]
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Thomas Jefferson (April 13, 1743 – July 4, 1826) was an American statesman, diplomat, lawyer, architect, philosopher, and Founding Father who served as the third president of the United States from 1801 to 1809. Among the Committee of Five charged by the Second Continental Congress with authoring the Declaration of Ind...
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Who was Kyle Van Zyl playing against when he scored 36 of hisa teams 61 points?
Van Zyl joined the Eastern Province Kings Academy, where he played for the Eastern Province U19 side in the 2010 Under-19 Provincial Championship. He was a key player for the Eastern Province U21 side in the 2012 Under-21 Provincial Championship, scoring 71 points in eight appearances. Van Zyl was under the Top SARU Pe...
Van Zyl joined the Eastern Province Kings Academy, where he played for the Eastern Province U19 side in the 2010 Under-19 Provincial Championship. He was a key player for the Eastern Province U21 side in the 2012 Under-21 Provincial Championship, scoring 71 points in eight appearances. Van Zyl was under the Top SARU Pe...
[]
{ "start": [ 8 ], "end": [ 20 ], "label": [ "PER" ], "text": [ "Kyle Van Zyl" ], "score": [ 0.9997628331184387 ] }
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{ "start": [ 19, 108, 208, 309, 397, 564, 639 ], "end": [ 49, 145, 245, 328, 421, 574, 655 ], "label": [ "ORG", "EVE", "EVE", "MEDIA", "EVE", "ORG", "MEDIA" ], "text": [ "Eastern Province Kings Academy", "2010 Unde...
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Kyle Van Zyl was playing against Boland U21 when he scored 36 points, leading his team to victory in a 61-3 win.
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From the passage list down the areas for which Dar es Salaam is Tanzania's most prominent city. List the results in comma separated format.
Dar es Salaam (/ˌdɑːr ɛs səˈlɑːm/; from Arabic: دَار السَّلَام, romanized: Dâr es-Selâm, lit. 'Abode of Peace') or commonly known as Dar, is the largest city and financial hub of Tanzania. It is also the capital of Dar es Salaam Region. With a population of over six million people, Dar is the largest city in East Afric...
Dar es Salaam (/ˌdɑːr ɛs səˈlɑːm/; from Arabic: دَار السَّلَام, romanized: Dâr es-Selâm, lit. 'Abode of Peace') or commonly known as Dar, is the largest city and financial hub of Tanzania. It is also the capital of Dar es Salaam Region. With a population of over six million people, Dar is the largest city in East Afric...
[]
{ "start": [ 47, 64 ], "end": [ 60, 72 ], "label": [ "LOC", "LOC" ], "text": [ "Dar es Salaam", "Tanzania" ], "score": [ 0.9999731779098511, 0.9923871755599976 ] }
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arts, fashion, media, film, television, finance
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What is process mining?
Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Process mining is an integral part of data science, fueled by the availabi...
Process mining is a family of techniques relating the fields of data science and process management to support the analysis of operational processes based on event logs. The goal of process mining is to turn event data into insights and actions. Process mining is an integral part of data science, fueled by the availabi...
[]
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Process mining brings together data mining, data science and process management to find process efficiencies.
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Extract the owner of Lamborghini and a listing of the different types of Huracan cars that Lamborghini has produced for its Motorsport division.
Automobili Lamborghini S.p.A. (Italian pronunciation: [autoˈmɔːbili lamborˈɡiːni]) is an Italian manufacturer of luxury sports cars and SUVs based in Sant'Agata Bolognese. The company is owned by the Volkswagen Group through its subsidiary Audi. Ferruccio Lamborghini (1916–1993), an Italian manufacturing magnate, foun...
Automobili Lamborghini S.p.A. (Italian pronunciation: [autoˈmɔːbili lamborˈɡiːni]) is an Italian manufacturer of luxury sports cars and SUVs based in Sant'Agata Bolognese. The company is owned by the Volkswagen Group through its subsidiary Audi. Ferruccio Lamborghini (1916–1993), an Italian manufacturing magnate, foun...
[]
{ "start": [ 21, 73, 91 ], "end": [ 32, 80, 102 ], "label": [ "ORG", "ORG", "ORG" ], "text": [ "Lamborghini", "Huracan", "Lamborghini" ], "score": [ 0.9991770386695862, 0.8133394122123718, 0.9982311129570007 ] }
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Vokswagen Group owns Lamborghini through its subsidiary, Audi. Lamborghini has produced the following Huracan motorsport models: - Huracán LP 620-2 Super Trofeo EVO - Huracán LP 620-2 Super Trofeo EVO2 - Huracán Super Trofeo GT2 - Huracán GT3 - Huracán GT3 Evo - Huracán GT3 Evo 2
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What is the average lifespan of a Golden Retriever?
Golden Retrievers are a generally healthy breed; they have an average lifespan of 12 to 13 years. Irresponsible breeding to meet high demand has led to the prevalence of inherited health problems in some breed lines, including allergic skin conditions, eye problems and sometimes snappiness. These problems are rarely en...
Golden Retrievers are a generally healthy breed; they have an average lifespan of 12 to 13 years. Irresponsible breeding to meet high demand has led to the prevalence of inherited health problems in some breed lines, including allergic skin conditions, eye problems and sometimes snappiness. These problems are rarely en...
[]
{ "start": [ 34 ], "end": [ 50 ], "label": [ "VEHI" ], "text": [ "Golden Retriever" ], "score": [ 0.41532692313194275 ] }
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The average lifespan of a Golden Retriever is 12 to 13 years.
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Who was the first to record the Needles and Pins song?
"Needles and Pins" is a rock song credited to American writers Jack Nitzsche and Sonny Bono. Jackie DeShannon recorded it in 1963 and other versions followed. The most successful ones were by the Searchers, whose version reached No. 1 on the UK singles chart in 1964, and Smokie, who had a worldwide hit in 1977. Others ...
"Needles and Pins" is a rock song credited to American writers Jack Nitzsche and Sonny Bono. Jackie DeShannon recorded it in 1963 and other versions followed. The most successful ones were by the Searchers, whose version reached No. 1 on the UK singles chart in 1964, and Smokie, who had a worldwide hit in 1977. Others ...
[]
{ "start": [ 32 ], "end": [ 48 ], "label": [ "MEDIA" ], "text": [ "Needles and Pins" ], "score": [ 0.21729645133018494 ] }
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The first artist to record Needles and Pins song was DeShannon.
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Given this paragraph, what is the top speed of a Kia Stinger?
Kia claims that the Stinger accelerates from zero to 100 km/h (62 mph) in 7.7, 6 and 4.9 seconds for the 2.2-liter diesel, 2.0-liter petrol and 3.3-liter petrol respectively. Schreyer reportedly drove a pre-production Stinger GT at a top speed of 269 km/h (167 mph) on the Autobahn. During a test by Car and Driver, an ...
Kia claims that the Stinger accelerates from zero to 100 km/h (62 mph) in 7.7, 6 and 4.9 seconds for the 2.2-liter diesel, 2.0-liter petrol and 3.3-liter petrol respectively. Schreyer reportedly drove a pre-production Stinger GT at a top speed of 269 km/h (167 mph) on the Autobahn. During a test by Car and Driver, an ...
[]
{ "start": [ 49 ], "end": [ 60 ], "label": [ "VEHI" ], "text": [ "Kia Stinger" ], "score": [ 0.753463864326477 ] }
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The top speed of a Kia Stinger is 269km/h (167mph) according to this text.
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Where are the British Virgin Islands (BVI) and which islands are a part of the BVI?
The British Virgin Islands (BVI), officially the Virgin Islands, are a British Overseas Territory in the Caribbean, to the east of Puerto Rico and the US Virgin Islands and north-west of Anguilla. The islands are geographically part of the Virgin Islands archipelago and are located in the Leeward Islands of the Lesser ...
The British Virgin Islands (BVI), officially the Virgin Islands, are a British Overseas Territory in the Caribbean, to the east of Puerto Rico and the US Virgin Islands and north-west of Anguilla. The islands are geographically part of the Virgin Islands archipelago and are located in the Leeward Islands of the Lesser ...
[]
{ "start": [ 14 ], "end": [ 36 ], "label": [ "LOC" ], "text": [ "British Virgin Islands" ], "score": [ 0.9981722831726074 ] }
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The British Virgin Islands (BVI), officially the Virgin Islands, are a British Overseas Territory in the Caribbean, to the east of Puerto Rico and the US Virgin Islands and north-west of Anguilla. The islands are geographically part of the Virgin Islands archipelago and are located in the Leeward Islands of the Lesser ...
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{}
Does "outbreeding" or "inbreeding" benefit the offspring more?
Exogamy often results in two individuals that are not closely genetically related marrying each other; that is, outbreeding as opposed to inbreeding. In moderation, this benefits the offspring as it reduces the risk of the offspring inheriting two copies of a defective gene. Increasing the genetic diversity of the offs...
Exogamy often results in two individuals that are not closely genetically related marrying each other; that is, outbreeding as opposed to inbreeding. In moderation, this benefits the offspring as it reduces the risk of the offspring inheriting two copies of a defective gene. Increasing the genetic diversity of the offs...
[]
{ "start": [ 6, 23 ], "end": [ 17, 33 ], "label": [ "DIS", "DIS" ], "text": [ "outbreeding", "inbreeding" ], "score": [ 0.5033770203590393, 0.5767819881439209 ] }
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{ "start": [ 112, 138 ], "end": [ 123, 148 ], "label": [ "DIS", "DIS" ], "text": [ "outbreeding", "inbreeding" ], "score": [ 0.4868324398994446, 0.6573398113250732 ] }
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"Outbreeding" is more beneficial to the offspring as it reduces the risk of inheriting defective genes, increasing the offspring's ability to reproduce.
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When was the first Reading railway station opened?
Reading railway station is a major transport hub in Reading, Berkshire, England. It is on the northern edge of the town centre, near the main retail and commercial areas and the River Thames, 36 miles (58 km) from London Paddington. The first Reading station was opened on 30 March 1840 as the temporary western terminus...
Reading railway station is a major transport hub in Reading, Berkshire, England. It is on the northern edge of the town centre, near the main retail and commercial areas and the River Thames, 36 miles (58 km) from London Paddington. The first Reading station was opened on 30 March 1840 as the temporary western terminus...
[]
{ "start": [ 19 ], "end": [ 26 ], "label": [ "LOC" ], "text": [ "Reading" ], "score": [ 0.9977299571037292 ] }
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The first Reading railway station was opened on the 30th of March, 1840.
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What is HiFI?
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 co...
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 co...
[]
{ "start": [ 8 ], "end": [ 12 ], "label": [ "ORG" ], "text": [ "HiFI" ], "score": [ 0.47000443935394287 ] }
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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 we...
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Given this paragraph about Billie Eilish, tell me who produced her debut single, also tell me what is her chart-topping single?
Billie Eilish Pirate Baird O'Connell (/ˈaɪlɪʃ/ EYE-lish; born December 18, 2001) is an American singer and songwriter. She first gained public attention in 2015 with her debut single "Ocean Eyes", written and produced by her brother Finneas O'Connell, with whom she collaborates on music and live shows. In 2017, she rel...
Billie Eilish Pirate Baird O'Connell (/ˈaɪlɪʃ/ EYE-lish; born December 18, 2001) is an American singer and songwriter. She first gained public attention in 2015 with her debut single "Ocean Eyes", written and produced by her brother Finneas O'Connell, with whom she collaborates on music and live shows. In 2017, she rel...
[]
{ "start": [ 27 ], "end": [ 40 ], "label": [ "PER" ], "text": [ "Billie Eilish" ], "score": [ 0.9999034404754639 ] }
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Her brother Finneas O'Connell produced her debut single "Ocean Eyes", and her chart topping single is "Bad Guy"
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Who was boxer John Baldwin
Known as "The Mad" Baldwin, he turned pro in 1970 and lost a decision to Marvin Hagler in 1975. In 1977 he took on Rocky Mosley Jr in the ill-fated U.S. Championship Tournament, but lost via K.O. In 1978 he lost a decision to Marvin Johnson, and retired a year later.
Known as "The Mad" Baldwin, he turned pro in 1970 and lost a decision to Marvin Hagler in 1975. In 1977 he took on Rocky Mosley Jr in the ill-fated U.S. Championship Tournament, but lost via K.O. In 1978 he lost a decision to Marvin Johnson, and retired a year later.
[]
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{ "start": [ 73, 115, 148, 191, 226 ], "end": [ 86, 130, 176, 195, 240 ], "label": [ "PER", "PER", "EVE", "PER", "PER" ], "text": [ "Marvin Hagler", "Rocky Mosley Jr", "U.S. Championship Tournament", "K.O.", "Marvin Johnson" ...
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Born in Detroit, John Baldwin was a professional US boxer. He fought in the Light-Middleweight category and won a bronze medal in the 1968 Olympics. He turned pro in 1970, and lost a decision to Marvin Hagler in 1975. He retired in 1979
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Extract all of the dates mentioned in this paragraph and list them using bullets in the format {Date} - {Description}
Daniel Leavitt was born November 16, 1813, at Rye, New Hampshire, the son of Benning Leavitt, influential businessman, state senator, county commissioner and later Chicopee Selectman, and his wife Olive (Jenness) Leavitt. Daniel Leavitt married in 1838 at West Springfield, Massachusetts, Ruth Jeannette Ball. They had t...
Daniel Leavitt was born November 16, 1813, at Rye, New Hampshire, the son of Benning Leavitt, influential businessman, state senator, county commissioner and later Chicopee Selectman, and his wife Olive (Jenness) Leavitt. Daniel Leavitt married in 1838 at West Springfield, Massachusetts, Ruth Jeannette Ball. They had t...
[]
{ "start": [ 96 ], "end": [ 100 ], "label": [ "TIME" ], "text": [ "Date" ], "score": [ 0.825280487537384 ] }
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{ "start": [ 46, 51, 77, 164, 197, 256, 274, 289 ], "end": [ 49, 64, 92, 182, 220, 272, 287, 308 ], "label": [ "LOC", "LOC", "PER", "PER", "PER", "LOC", "LOC", "PER" ], "text": [ "Rye", "New Hampshire",...
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• November 16, 1813 - This is when Daniel Leavitt was born • 1838 - This is when Daniel Leavitt married his wife Ruth Jeannette Ball.
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What is the Maareech Advanced Torpedo Defence System (ATDS)?
Maareech Advanced Torpedo Defence System (ATDS) is a torpedo detection and countermeasure system used by the Indian Navy. The system offers a complete solution to detect and locate an incoming torpedo and to apply countermeasures to protect naval platform against torpedo attack. It was developed as a joint project of t...
Maareech Advanced Torpedo Defence System (ATDS) is a torpedo detection and countermeasure system used by the Indian Navy. The system offers a complete solution to detect and locate an incoming torpedo and to apply countermeasures to protect naval platform against torpedo attack. It was developed as a joint project of t...
[]
{ "start": [ 12 ], "end": [ 52 ], "label": [ "INST" ], "text": [ "Maareech Advanced Torpedo Defence System" ], "score": [ 0.9393739104270935 ] }
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{ "start": [ 0, 109, 323, 375, 389, 440, 455, 494 ], "end": [ 40, 120, 366, 380, 431, 453, 473, 499 ], "label": [ "INST", "ORG", "ORG", "LOC", "ORG", "LOC", "ORG", "LOC" ], "text": [ "Maareech Advanced Torp...
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The Maareech Advanced Torpedo Defence System (ATDS is a torpedo detection and countermeasure system used by the Indian Navy.
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Change the following passage to past tense
The episode focuses on two people: an elderly hospital doctor (Aleksander Bardini), who lives by himself in the ubiquitous Dekalog apartment block; and Dorota Geller (Krystyna Janda), a woman in her 30s who lives in the same building and is a violinist with the Philharmonic Orchestra.
The episode focuses on two people: an elderly hospital doctor (Aleksander Bardini), who lives by himself in the ubiquitous Dekalog apartment block; and Dorota Geller (Krystyna Janda), a woman in her 30s who lives in the same building and is a violinist with the Philharmonic Orchestra.
[]
{ "start": [ 32 ], "end": [ 42 ], "label": [ "TIME" ], "text": [ "past tense" ], "score": [ 0.6637696623802185 ] }
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{ "start": [ 63, 123, 152, 167, 262 ], "end": [ 81, 130, 165, 181, 284 ], "label": [ "PER", "LOC", "PER", "PER", "ORG" ], "text": [ "Aleksander Bardini", "Dekalog", "Dorota Geller", "Krystyna Janda", "Philharmonic Orchestra" ...
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[]
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The episode focused on two people: an elderly hospital doctor (Aleksander Bardini), who lived by himself in the ubiquitous Dekalog apartment block; and Dorota Geller (Krystyna Janda), a woman in her 30s who lived in the same building and was a violinist with the Philharmonic Orchestra.
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{}
Who is Shoji Hashimoto?
Shoji Hashimoto (橋本 昌二, Hashimoto Shōji, April 18, 1935 – December 2, 2009) was a professional Go player.
Shoji Hashimoto (橋本 昌二, Hashimoto Shōji, April 18, 1935 – December 2, 2009) was a professional Go player.
[]
{ "start": [ 7 ], "end": [ 22 ], "label": [ "PER" ], "text": [ "Shoji Hashimoto" ], "score": [ 0.9998124241828918 ] }
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{ "start": [ 0 ], "end": [ 15 ], "label": [ "PER" ], "text": [ "Shoji Hashimoto" ], "score": [ 0.9982398748397827 ] }
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Shoji Hashimoto (橋本 昌二, Hashimoto Shōji, April 18, 1935 – December 2, 2009) was a professional Go player. Hashimoto turned pro in 1947 when he was just 12. It took him only 11 years to reach 9p. He learned Go from his father Hashimoto Kunisaburō and his disciples include Takahara Shūji, Moriyama Naoki, Oda Hiromitsu, O...
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How many managers have Arsenal had?
There have been twenty permanent and eight caretaker managers of Arsenal since 1897; Stewart Houston has managed the club in two separate spells as caretaker. The most successful person to manage Arsenal is Arsène Wenger, who won three Premier League titles, seven FA Cups and seven Community Shields between 1996 and 20...
There have been twenty permanent and eight caretaker managers of Arsenal since 1897; Stewart Houston has managed the club in two separate spells as caretaker. The most successful person to manage Arsenal is Arsène Wenger, who won three Premier League titles, seven FA Cups and seven Community Shields between 1996 and 20...
[ { "user_id": "ed52b23c-6ed5-4d40-b284-afb5eb96f2ae", "value": { "start": [ 23 ], "end": [ 30 ], "label": [ "ORG" ], "text": [ "Arsenal" ] }, "status": "submitted" } ]
{ "start": [ 23 ], "end": [ 30 ], "label": [ "ORG" ], "text": [ "Arsenal" ], "score": [ 0.9988126754760742 ] }
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[ { "user_id": "ed52b23c-6ed5-4d40-b284-afb5eb96f2ae", "value": { "start": [ 0 ], "end": [ 83 ], "label": [ "relevant_info" ], "text": [ "There have been twenty permanent and eight caretaker managers of Arsenal since 1897" ] }...
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[ { "user_id": "ed52b23c-6ed5-4d40-b284-afb5eb96f2ae", "value": "Arsenal have had twenty permanent and eight caretake managers.", "status": "submitted" } ]
Arsenal have had twenty permanent and eight caretake managers.
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What is SVM?
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., 199...
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., 199...
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{ "start": [ 8 ], "end": [ 11 ], "label": [ "ORG" ], "text": [ "SVM" ], "score": [ 0.7157502174377441 ] }
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{ "start": [ 224, 250, 283, 303, 323, 334, 348, 510, 534 ], "end": [ 246, 265, 288, 308, 329, 340, 354, 516, 546 ], "label": [ "ORG", "PER", "PER", "PER", "PER", "PER", "PER", "PER", "PER" ], "text"...
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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 ...
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What is the current capital of Japan?
Tokyo (/ˈtoʊkioʊ/; Japanese: 東京, Tōkyō, [toːkʲoː] (listen)), officially the Tokyo Metropolis (東京都, Tōkyō-to), is the capital and most populous city of Japan. Formerly known as Edo, its metropolitan area (13,452 square kilometers or 5,194 square miles) is the most populous in the world, with an estimated 37.468 million ...
Tokyo (/ˈtoʊkioʊ/; Japanese: 東京, Tōkyō, [toːkʲoː] (listen)), officially the Tokyo Metropolis (東京都, Tōkyō-to), is the capital and most populous city of Japan. Formerly known as Edo, its metropolitan area (13,452 square kilometers or 5,194 square miles) is the most populous in the world, with an estimated 37.468 million ...
[]
{ "start": [ 31 ], "end": [ 36 ], "label": [ "LOC" ], "text": [ "Japan" ], "score": [ 0.9998899698257446 ] }
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Tokyo is the current capital of Japan.
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Who scored first in Austin FC's first victory in a home game in the 2021 MLS season?
Austin FC played their first MLS match against LAFC at Banc of California Stadium on April 17, 2021, losing 0–2. The club secured its first victory the following week against the Colorado Rapids, winning 3–1. Diego Fagúndez scored the club's first goal and the following two were scored by the club's first Designated Pl...
Austin FC played their first MLS match against LAFC at Banc of California Stadium on April 17, 2021, losing 0–2. The club secured its first victory the following week against the Colorado Rapids, winning 3–1. Diego Fagúndez scored the club's first goal and the following two were scored by the club's first Designated Pl...
[]
{ "start": [ 20 ], "end": [ 29 ], "label": [ "ORG" ], "text": [ "Austin FC" ], "score": [ 0.9961724877357483 ] }
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{ "start": [ 0, 29, 47, 55, 179, 209, 326, 402, 541, 563, 637 ], "end": [ 9, 32, 51, 81, 194, 223, 343, 422, 557, 576, 647 ], "label": [ "ORG", "EVE", "ORG", "LOC", "ORG", "PER", "PER", "ORG...
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Jon Gallagher scored the first goal in Austin FC's first win at home, over the Portland Timbers.
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How long does it take for a mustard seed to germinate?
Mustard seeds are the small round seeds of various mustard plants. The seeds are usually about 1 to 2 millimetres (0.039 to 0.079 in) in diameter and may be colored from yellowish white to black. They are an important spice in many regional foods and may come from one of three different plants: black mustard (Brassica ...
Mustard seeds are the small round seeds of various mustard plants. The seeds are usually about 1 to 2 millimetres (0.039 to 0.079 in) in diameter and may be colored from yellowish white to black. They are an important spice in many regional foods and may come from one of three different plants: black mustard (Brassica ...
[]
{ "start": [ 44 ], "end": [ 53 ], "label": [ "FOOD" ], "text": [ "germinate" ], "score": [ 0.7916052341461182 ] }
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{ "start": [ 311, 343, 373 ], "end": [ 325, 352, 385 ], "label": [ "PLANT", "PLANT", "PLANT" ], "text": [ "Brassica nigra", "B. juncea", "Sinapis alba" ], "score": [ 0.8796684145927429, 0.5019873976707458, 0.9196890592575073 ] }
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Mustard seeds generally take eight to ten days to germinate if placed under the proper conditions, which include a cold atmosphere and relatively moist soil.
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What is the origin of the name of the herb Rosemary?
alvia rosmarinus (/ˈsælviə ˌrɒsməˈraɪnəs/), commonly known as rosemary, is a shrub with fragrant, evergreen, needle-like leaves and white, pink, purple, or blue flowers, native to the Mediterranean region. Until 2017, it was known by the scientific name Rosmarinus officinalis (/ˌrɒsməˈraɪnəs əˌfɪsɪˈneɪlɪs/), now a syno...
alvia rosmarinus (/ˈsælviə ˌrɒsməˈraɪnəs/), commonly known as rosemary, is a shrub with fragrant, evergreen, needle-like leaves and white, pink, purple, or blue flowers, native to the Mediterranean region. Until 2017, it was known by the scientific name Rosmarinus officinalis (/ˌrɒsməˈraɪnəs əˌfɪsɪˈneɪlɪs/), now a syno...
[]
{ "start": [ 43 ], "end": [ 51 ], "label": [ "PLANT" ], "text": [ "Rosemary" ], "score": [ 0.9451554417610168 ] }
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{ "start": [ 77, 184, 360 ], "end": [ 82, 197, 369 ], "label": [ "PLANT", "LOC", "PLANT" ], "text": [ "shrub", "Mediterranean", "Lamiaceae" ], "score": [ 0.5645050406455994, 0.995242714881897, 0.9476179480552673 ] }
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The name "rosemary" derives from Latin ros marinus.
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Who coined the phrase "Bike-shedding" and when?
The law of triviality is C. Northcote Parkinson's 1957 argument that people within an organization commonly or typically give disproportionate weight to trivial issues. Parkinson provides the example of a fictional committee whose job was to approve the plans for a nuclear power plant spending the majority of its time ...
The law of triviality is C. Northcote Parkinson's 1957 argument that people within an organization commonly or typically give disproportionate weight to trivial issues. Parkinson provides the example of a fictional committee whose job was to approve the plans for a nuclear power plant spending the majority of its time ...
[]
{ "start": [ 23 ], "end": [ 36 ], "label": [ "DIS" ], "text": [ "Bike-shedding" ], "score": [ 0.6410682201385498 ] }
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{ "start": [ 25, 778, 852 ], "end": [ 47, 808, 869 ], "label": [ "PER", "ORG", "PER" ], "text": [ "C. Northcote Parkinson", "Berkeley Software Distribution", "Poul-Henning Kamp" ], "score": [ 0.9865831732749939, 0.998633086681366, 0.999865770...
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The phrase "bike-shedding" was introduced in 1957 by C. Northcote Parkinson.
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List the weapons of Goddess Durga in a comma separated manner.
Durga is a warrior goddess, and she is depicted to express her martial skills. Her iconography typically resonates with these attributes, where she rides a lion or a tiger, has between eight and eighteen hands, each holding a weapon to destroy and create. She is often shown in the midst of her war with Mahishasura, the...
Durga is a warrior goddess, and she is depicted to express her martial skills. Her iconography typically resonates with these attributes, where she rides a lion or a tiger, has between eight and eighteen hands, each holding a weapon to destroy and create. She is often shown in the midst of her war with Mahishasura, the...
[]
{ "start": [ 28 ], "end": [ 33 ], "label": [ "MYTH" ], "text": [ "Durga" ], "score": [ 0.9964621663093567 ] }
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{ "start": [ 304 ], "end": [ 315 ], "label": [ "MYTH" ], "text": [ "Mahishasura" ], "score": [ 0.986270546913147 ] }
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Chakra, conch, bow, arrow, sword, javelin, trishula, shield, a noose
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Given a reference text about Run Towards the Danger, tell me how many essays are part of the collection.
Run Towards the Danger is a 2022 Canadian essay collection by Sarah Polley, a former child star, director, and screenwriter. The six essays in the collection examine aspects of Polley's career on stage, screen, and on film detailing her roles in a Stratford Festival production of Alice Through the Looking Glass, as we...
Run Towards the Danger is a 2022 Canadian essay collection by Sarah Polley, a former child star, director, and screenwriter. The six essays in the collection examine aspects of Polley's career on stage, screen, and on film detailing her roles in a Stratford Festival production of Alice Through the Looking Glass, as we...
[]
{ "start": [ 29 ], "end": [ 51 ], "label": [ "MEDIA" ], "text": [ "Run Towards the Danger" ], "score": [ 0.9688928127288818 ] }
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{ "start": [ 0, 62, 178, 249, 282, 348, 401, 465, 493 ], "end": [ 22, 74, 184, 267, 313, 382, 416, 471, 506 ], "label": [ "MEDIA", "PER", "PER", "EVE", "MEDIA", "MEDIA", "MEDIA", "PER", "PER" ], "te...
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Six essays are part of the Run Towards the Danger essay collection.
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Who tends to participates in hackathons?
A hackathon (also known as a hack day, hackfest, datathon or codefest; a portmanteau of hacking and marathon) is an event where people engage in rapid and collaborative engineering over a relatively short period of time such as 24 or 48 hours. They are often run using agile software development practices, such as sprin...
A hackathon (also known as a hack day, hackfest, datathon or codefest; a portmanteau of hacking and marathon) is an event where people engage in rapid and collaborative engineering over a relatively short period of time such as 24 or 48 hours. They are often run using agile software development practices, such as sprin...
[]
{ "start": [ 29 ], "end": [ 39 ], "label": [ "DIS" ], "text": [ "hackathons" ], "score": [ 0.5115081667900085 ] }
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Computer programmers and others involved in software development, including graphic designers, interface designers, product managers, project managers, domain experts, and others tend to participate in hackathons. They collaborate intensively on engineering projects, such as software engineering with the goal of creat...
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What is Marketing Automation?
Marketing Automation is a subset of customer relationship management (CRM) or customer experience management (CXM) that focuses on the definition, segmentation, scheduling and tracking of marketing campaigns. The use of marketing automation makes processes that would otherwise have been performed manually much more eff...
Marketing Automation is a subset of customer relationship management (CRM) or customer experience management (CXM) that focuses on the definition, segmentation, scheduling and tracking of marketing campaigns. The use of marketing automation makes processes that would otherwise have been performed manually much more eff...
[]
{ "start": [], "end": [], "label": [], "text": [], "score": [] }
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{ "start": [ 754 ], "end": [ 769 ], "label": [ "TIME" ], "text": [ "Lead Generation" ], "score": [ 0.9334587454795837 ] }
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Marketing Automation is software that helps marketers to do create efficient online and offline campaigns. It's part of CRM suite and people usually integrate it with their salesforce application and marketing website. The Marketing Automation platform allows marketers to automate and simplify customer communication by...
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Which American president spoke Dutch as their first language?
Van Buren received a basic education at the village schoolhouse, and briefly studied Latin at the Kinderhook Academy and at Washington Seminary in Claverack. Van Buren was raised speaking primarily Dutch and learned English while attending school; he is the only president of the United States whose first language was n...
Van Buren received a basic education at the village schoolhouse, and briefly studied Latin at the Kinderhook Academy and at Washington Seminary in Claverack. Van Buren was raised speaking primarily Dutch and learned English while attending school; he is the only president of the United States whose first language was n...
[]
{ "start": [ 31 ], "end": [ 36 ], "label": [ "MEDIA" ], "text": [ "Dutch" ], "score": [ 0.9879013299942017 ] }
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{ "start": [ 98, 124, 147, 198, 280, 610, 638 ], "end": [ 116, 143, 156, 203, 293, 625, 645 ], "label": [ "ORG", "ORG", "LOC", "MEDIA", "LOC", "PER", "PER" ], "text": [ "Kinderhook Academy", "Washington Seminary", ...
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President Van Buren spoke Dutch as his first language. He is the only president of the United States of America who spoke English as a second language.
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Given this reference text about the consumption of peanut butter, when is national peanut butter day?
The United States is a leading exporter of peanut butter, and one of the largest consumers of peanut butter annually per capita. January 24 is National Peanut Butter Day in the United States. In March 2020 during the COVID-19 pandemic, retail sales of peanut butter in the United States increased by 75% over the level i...
The United States is a leading exporter of peanut butter, and one of the largest consumers of peanut butter annually per capita. January 24 is National Peanut Butter Day in the United States. In March 2020 during the COVID-19 pandemic, retail sales of peanut butter in the United States increased by 75% over the level i...
[]
{ "start": [ 51 ], "end": [ 64 ], "label": [ "FOOD" ], "text": [ "peanut butter" ], "score": [ 0.7034891843795776 ] }
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National Peanut Butter Day takes place on January 24th in the United States.
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What does fasting mean?
Fasting is the abstention from eating and sometimes drinking. From a purely physiological context, "fasting" may refer to the metabolic status of a person who has not eaten overnight (see "Breakfast"), or to the metabolic state achieved after complete digestion and absorption of a meal. Metabolic changes in the fasting...
Fasting is the abstention from eating and sometimes drinking. From a purely physiological context, "fasting" may refer to the metabolic status of a person who has not eaten overnight (see "Breakfast"), or to the metabolic state achieved after complete digestion and absorption of a meal. Metabolic changes in the fasting...
[]
{ "start": [ 10 ], "end": [ 17 ], "label": [ "FOOD" ], "text": [ "fasting" ], "score": [ 0.801950216293335 ] }
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{ "start": [ 189 ], "end": [ 198 ], "label": [ "FOOD" ], "text": [ "Breakfast" ], "score": [ 0.9114487767219543 ] }
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null
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[]
Fasting is the abstention from eating and sometimes drinking.
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What is the largest city on the Mississippi River?
Memphis is the fifth-most populous city in the Southeast, the nation's 28th-largest overall, as well as the largest city bordering the Mississippi River and third largest Metropolitan statistical area behind Saint Louis, MO and the Twin Cities on the Mississippi River. The Memphis metropolitan area includes West Tennes...
Memphis is the fifth-most populous city in the Southeast, the nation's 28th-largest overall, as well as the largest city bordering the Mississippi River and third largest Metropolitan statistical area behind Saint Louis, MO and the Twin Cities on the Mississippi River. The Memphis metropolitan area includes West Tennes...
[]
{ "start": [ 32 ], "end": [ 49 ], "label": [ "LOC" ], "text": [ "Mississippi River" ], "score": [ 0.9999475479125977 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 47, 135, 208, 221, 232, 251, 274, 309, 340, 397, 407, 427, 512, 536 ], "end": [ 7, 56, 152, 219, 223, 243, 268, 281, 323, 349, 405, 418, 444, 534, 543 ], "label": [ "LOC"...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Saint Louis, Missouri is the largest city on the Mississippi River. Twin Cities is the second largest city on the Mississippi River and Memphis is the third largest city on the Mississippi River.
{ "type": null, "score": null, "agent": null }
null
{}
Provide a list of all numbers mentioned in the provided text and what they represent
The ancestors of llamas are thought to have originated from the Great Plains of North America about 40 million years ago, and subsequently migrated to South America about three million years ago during the Great American Interchange. By the end of the last ice age (10,000–12,000 years ago), camelids were extinct in Nor...
The ancestors of llamas are thought to have originated from the Great Plains of North America about 40 million years ago, and subsequently migrated to South America about three million years ago during the Great American Interchange. By the end of the last ice age (10,000–12,000 years ago), camelids were extinct in Nor...
[]
{ "start": [], "end": [], "label": [], "text": [], "score": [] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 64, 80, 151, 206, 317, 396, 524, 542, 605, 697 ], "end": [ 76, 93, 164, 232, 330, 409, 537, 548, 619, 703 ], "label": [ "LOC", "LOC", "LOC", "EVE", "LOC", "LOC", "LOC", "LOC", "MYTH...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
40 million: The number of years ago when the ancestors of llamas are thought to have originated from the Great Plains of North America three million: The number of years ago the ancestors of llamas are thought to have migrated to South America during the Great American Interchange 10,000–12,000: The number of years ago...
{ "type": null, "score": null, "agent": null }
null
{}
Was Furze Hill an established community in the 19th century?
Furze Hill (or Furzehill) is a hamlet situated in the New Forest National Park of Hampshire, England. It is in the civil parish of Ellingham, Harbridge and Ibsley. Its nearest town is Fordingbridge, which lies approximately 3.1 miles (5.2 km) north-west from the hamlet. Furze Hill is a hamlet in the civil parish of Hy...
Furze Hill (or Furzehill) is a hamlet situated in the New Forest National Park of Hampshire, England. It is in the civil parish of Ellingham, Harbridge and Ibsley. Its nearest town is Fordingbridge, which lies approximately 3.1 miles (5.2 km) north-west from the hamlet. Furze Hill is a hamlet in the civil parish of Hy...
[]
{ "start": [ 4 ], "end": [ 14 ], "label": [ "LOC" ], "text": [ "Furze Hill" ], "score": [ 0.9985345602035522 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 54, 82, 93, 131, 142, 156, 184, 272, 318, 371, 392, 408, 526, 565, 580, 638 ], "end": [ 10, 78, 91, 100, 140, 151, 162, 197, 282, 322, 384, 404, 414, 539, 577, 590, ...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
No, it was not an established community until the 20th century.
{ "type": null, "score": null, "agent": null }
null
{}
Why should I use fabric softener?
Machine washing puts great mechanical stress on textiles, particularly natural fibers such as cotton and wool. The fibers at the fabric surface are squashed and frayed, and this condition hardens while drying the laundry in air, giving the laundry a harsh feel. Adding a liquid fabric softener to the final rinse (rinse-...
Machine washing puts great mechanical stress on textiles, particularly natural fibers such as cotton and wool. The fibers at the fabric surface are squashed and frayed, and this condition hardens while drying the laundry in air, giving the laundry a harsh feel. Adding a liquid fabric softener to the final rinse (rinse-...
[]
{ "start": [ 17 ], "end": [ 32 ], "label": [ "FOOD" ], "text": [ "fabric softener" ], "score": [ 0.6484748125076294 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [], "end": [], "label": [], "text": [], "score": [] }
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Machine washing puts great mechanical stress on textiles, so adding a liquid fabric softener to the final rinse results in laundry that feels softer.
{ "type": null, "score": null, "agent": null }
null
{}
What is wine?
Wine is an alcoholic drink typically made from fermented grapes. Yeast consumes the sugar in the grapes and converts it to ethanol and carbon dioxide, releasing heat in the process. Different varieties of grapes and strains of yeasts are major factors in different styles of wine. These differences result from the compl...
Wine is an alcoholic drink typically made from fermented grapes. Yeast consumes the sugar in the grapes and converts it to ethanol and carbon dioxide, releasing heat in the process. Different varieties of grapes and strains of yeasts are major factors in different styles of wine. These differences result from the compl...
[]
{ "start": [ 8 ], "end": [ 12 ], "label": [ "FOOD" ], "text": [ "wine" ], "score": [ 0.7533798813819885 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 459, 783, 789, 797, 810, 821, 833 ], "end": [ 466, 787, 795, 808, 819, 828, 843 ], "label": [ "FOOD", "PLANT", "PLANT", "PLANT", "PLANT", "PLANT", "PLANT" ], "text": [ "terroir", "plum", "cherry", ...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Wine is an alcoholic drink typically made from fermented grapes.
{ "type": null, "score": null, "agent": null }
null
{}
What's the relation between the Kushan Empire and the Sassanid Empire in Iran?
The Kushan Empire was a syncretic empire, formed by the Yuezhi, in the Bactrian territories in the early 1st century. It spread to encompass much of modern-day territory of Uzbekistan, Afghanistan, Pakistan and Northern India. The Sasanian or Sassanid Empire officially known as Eranshahr was the last Iranian empire b...
The Kushan Empire was a syncretic empire, formed by the Yuezhi, in the Bactrian territories in the early 1st century. It spread to encompass much of modern-day territory of Uzbekistan, Afghanistan, Pakistan and Northern India. The Sasanian or Sassanid Empire officially known as Eranshahr was the last Iranian empire b...
[]
{ "start": [ 32, 54, 73 ], "end": [ 45, 69, 77 ], "label": [ "LOC", "LOC", "LOC" ], "text": [ "Kushan Empire", "Sassanid Empire", "Iran" ], "score": [ 0.9996501207351685, 0.9996317625045776, 0.9998340606689453 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 4, 57, 72, 174, 186, 199, 212, 244, 280, 398 ], "end": [ 17, 63, 80, 184, 197, 207, 226, 259, 289, 412 ], "label": [ "LOC", "LOC", "LOC", "LOC", "LOC", "LOC", "LOC", "LOC", "LOC", ...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Kushano-Sasanian Kingdom (also called Kushanshahs, or Koshano Shao in Bactrian, or Indo-Sasanians) is a historiographic term used by modern scholars to refer to a branch of the Sasanian Persians who established their rule in Bactria during the 3rd and 4th centuries CE at the expense of the declining Kushans. They capt...
{ "type": null, "score": null, "agent": null }
null
{}
What is the last festival celebrated in Tihar and how long does the festival last?
Lakshmi Puja is celebrated as a part of Tihar, a second national festival of Nepal after Dashain. In Nepal, it is celebrated for five days, which include Kag (crow) Tihar; Kukur (dog) Tihar; Gai (cow) Tihar in the morning and Lakshmi Puja at night; Maha puja (self puja); Goru (Ox and Bull) Tihar and Gobardhan puja; and...
Lakshmi Puja is celebrated as a part of Tihar, a second national festival of Nepal after Dashain. In Nepal, it is celebrated for five days, which include Kag (crow) Tihar; Kukur (dog) Tihar; Gai (cow) Tihar in the morning and Lakshmi Puja at night; Maha puja (self puja); Goru (Ox and Bull) Tihar and Gobardhan puja; and...
[]
{ "start": [ 40 ], "end": [ 45 ], "label": [ "LOC" ], "text": [ "Tihar" ], "score": [ 0.9956262111663818 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 40, 77, 89, 101, 154, 191, 226, 249, 272, 330 ], "end": [ 45, 82, 96, 106, 170, 206, 238, 258, 296, 339 ], "label": [ "TIME", "LOC", "TIME", "LOC", "TIME", "TIME", "TIME", "MYTH", "...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
The festival lasts for 5 days and Bhai Tika is the last festival.
{ "type": null, "score": null, "agent": null }
null
{}
What event John Johnstone won as a rider?
John Johnstone (1881-1935) was a British businessman and rider. He was the tai-pan of the Jardine, Matheson & Co., member of the Shanghai Municipal Council and Legislative Council of Hong Kong. He was the head of the Jardine, Matheson & Co. as well as director of numerous companies. He was member of the Shanghai Munic...
John Johnstone (1881-1935) was a British businessman and rider. He was the tai-pan of the Jardine, Matheson & Co., member of the Shanghai Municipal Council and Legislative Council of Hong Kong. He was the head of the Jardine, Matheson & Co. as well as director of numerous companies. He was member of the Shanghai Munic...
[]
{ "start": [ 11 ], "end": [ 25 ], "label": [ "PER" ], "text": [ "John Johnstone" ], "score": [ 0.9999736547470093 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 90, 129, 160, 218, 306, 341, 444, 490, 517, 541, 575, 606, 645, 678, 707, 890, 902, 942, 971 ], "end": [ 14, 113, 155, 192, 241, 332, 373, 460, 500, 527, 551, 583, 61...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
John Johnstone won the Jockey Cup on a horse named Ben-y-Gloe.
{ "type": null, "score": null, "agent": null }
null
{}
Based on the following passage summarise how sunsets are viewed from the northern hemisphere across seasons.
Sunset, also known as sundown, is the daily disappearance of the Sun below the horizon due to Earth's rotation. As viewed from everywhere on Earth (except the North and South poles), the equinox Sun sets due west at the moment of both the spring and autumn equinoxes. As viewed from the Northern Hemisphere, the Sun sets...
Sunset, also known as sundown, is the daily disappearance of the Sun below the horizon due to Earth's rotation. As viewed from everywhere on Earth (except the North and South poles), the equinox Sun sets due west at the moment of both the spring and autumn equinoxes. As viewed from the Northern Hemisphere, the Sun sets...
[]
{ "start": [ 100 ], "end": [ 107 ], "label": [ "TIME" ], "text": [ "seasons" ], "score": [ 0.9747751355171204 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 94, 141, 159, 287, 462 ], "end": [ 99, 146, 164, 306, 481 ], "label": [ "CEL", "CEL", "CEL", "LOC", "LOC" ], "text": [ "Earth", "Earth", "North", "Northern Hemisphere", "Southern Hemisphere" ], "score": [ ...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
When viewed from the Northern Hemisphere, the Sun sets to the northwest (or not at all) in the spring and summer, and to the southwest in the autumn and winter; these seasons are reversed for the Southern Hemisphere.
{ "type": null, "score": null, "agent": null }
null
{}
Based on this paragraph, how many younger siblings did Kennedy have?
Kennedy was born on February 22, 1932, at St. Margaret's Hospital in the Dorchester section of Boston, Massachusetts. He was the youngest of the nine children of Joseph Patrick Kennedy and Rose Fitzgerald, members of prominent Irish American families in Boston. They constituted one of the wealthiest families in the nat...
Kennedy was born on February 22, 1932, at St. Margaret's Hospital in the Dorchester section of Boston, Massachusetts. He was the youngest of the nine children of Joseph Patrick Kennedy and Rose Fitzgerald, members of prominent Irish American families in Boston. They constituted one of the wealthiest families in the nat...
[]
{ "start": [ 55 ], "end": [ 62 ], "label": [ "PER" ], "text": [ "Kennedy" ], "score": [ 0.9982808828353882 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 42, 73, 95, 103, 162, 189, 227, 254, 370, 382, 388, 398, 408, 416, 426, 438, 462, 593, 646 ], "end": [ 65, 83, 101, 116, 184, 204, 241, 260, 380, 386, 396, 406, 414, 424...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Based on this paragraph, Kennedy had no younger siblings, as he was the youngest of nine children.
{ "type": null, "score": null, "agent": null }
null
{}
What are some of the common elements of visual design?
Design elements are the basic units of any visual design which form its structure and convey visual messages. Painter and design theorist Maitland E. Graves (1902-1978), who attempted to gestate the fundamental principles of aesthetic order in visual design, in his book, The Art of Color and Design (1941), defined the ...
Design elements are the basic units of any visual design which form its structure and convey visual messages. Painter and design theorist Maitland E. Graves (1902-1978), who attempted to gestate the fundamental principles of aesthetic order in visual design, in his book, The Art of Color and Design (1941), defined the ...
[]
{ "start": [ 40 ], "end": [ 53 ], "label": [ "TIME" ], "text": [ "visual design" ], "score": [ 0.5201363563537598 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 138, 272 ], "end": [ 156, 299 ], "label": [ "PER", "MEDIA" ], "text": [ "Maitland E. Graves", "The Art of Color and Design" ], "score": [ 0.9999600648880005, 0.9880605936050415 ] }
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Line, shape, size, texture, color and direction are some of the common visual design elements.
{ "type": null, "score": null, "agent": null }
null
{}
Extract why Tim Lincecum was called "The Freak"
Timothy Leroy Lincecum (/ˈlɪnsəkʌm/ LIN-sə-kum; born June 15, 1984), nicknamed "The Freak", "The Franchise", "The Freaky Franchise" and "Big Time Timmy Jim", is an American former professional baseball pitcher. He played in Major League Baseball (MLB) for the San Francisco Giants (2007 to 2015) and Los Angeles Angels (...
Timothy Leroy Lincecum (/ˈlɪnsəkʌm/ LIN-sə-kum; born June 15, 1984), nicknamed "The Freak", "The Franchise", "The Freaky Franchise" and "Big Time Timmy Jim", is an American former professional baseball pitcher. He played in Major League Baseball (MLB) for the San Francisco Giants (2007 to 2015) and Los Angeles Angels (...
[]
{ "start": [ 12 ], "end": [ 24 ], "label": [ "PER" ], "text": [ "Tim Lincecum" ], "score": [ 0.9981380701065063 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 224, 247, 260, 300, 338, 381, 398 ], "end": [ 22, 245, 250, 280, 318, 352, 387, 410 ], "label": [ "PER", "ORG", "ORG", "ORG", "ORG", "MEDIA", "ORG", "EVE" ], "text": [ "Timothy Leroy Lincecu...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Nicknamed "The Freak" for his ability to generate powerful pitches despite his slight physique (5 feet 11 inches, 170 pounds), the power pitcher led the National League in strikeouts for three consecutive years in a span from 2008 to 2010. He also led the league in shutouts in 2009 and won the Babe Ruth Award in 2010 a...
{ "type": null, "score": null, "agent": null }
null
{}
Can you tell me something about Stanley J. Goldberg
Stanley J. Goldberg (born Maryland, 1939) is a special trial judge of the United States Tax Court. Goldberg attended public schools in Baltimore, MD. He earned a B.S. from the University of Maryland, School of Business and Public Administration in 1960 and an LL.B. from the University of Maryland School of Law in 1964...
Stanley J. Goldberg (born Maryland, 1939) is a special trial judge of the United States Tax Court. Goldberg attended public schools in Baltimore, MD. He earned a B.S. from the University of Maryland, School of Business and Public Administration in 1960 and an LL.B. from the University of Maryland School of Law in 1964...
[]
{ "start": [ 32 ], "end": [ 51 ], "label": [ "PER" ], "text": [ "Stanley J. Goldberg" ], "score": [ 0.9999728202819824 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 26, 74, 136, 147, 177, 201, 276, 346, 373, 431, 444, 475, 562, 625, 654 ], "end": [ 19, 34, 97, 145, 149, 199, 245, 312, 369, 392, 439, 454, 497, 598, 649, 667 ], "la...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Stanley J. Goldberg (born Maryland, 1939) is a special trial judge of the United States Tax Court. Goldberg attended public schools in Baltimore, MD. He earned a B.S. from the University of Maryland, School of Business and Public Administration in 1960 and an LL.B. from the University of Maryland School of Law in 1964...
{ "type": null, "score": null, "agent": null }
null
{}
What is Linux?
Linux (/ˈliːnʊks/ (listen) LEE-nuuks or /ˈlɪnʊks/ LIN-uuks) is a family of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991, by Linus Torvalds. Linux is typically packaged as a Linux distribution, which includes the kernel and supporting ...
Linux (/ˈliːnʊks/ (listen) LEE-nuuks or /ˈlɪnʊks/ LIN-uuks) is a family of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991, by Linus Torvalds. Linux is typically packaged as a Linux distribution, which includes the kernel and supporting ...
[]
{ "start": [], "end": [], "label": [], "text": [], "score": [] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 210, 385, 467 ], "end": [ 224, 396, 491 ], "label": [ "PER", "ORG", "ORG" ], "text": [ "Linus Torvalds", "GNU Project", "Free Software Foundation" ], "score": [ 0.9996082186698914, 0.9997794032096863, 0.9999653100967407 ] }
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
After AT&T had dropped out of the Multics project, the Unix operating system was conceived and implemented by Ken Thompson and Dennis Ritchie (both of AT&T Bell Laboratories) in 1969 and first released in 1970. Later they rewrote it in a new programming language, C, to make it portable. The availability and portability...
{ "type": null, "score": null, "agent": null }
null
{}
Given a reference text about Jen Shah, what is she famous from, when was she criminally charged, what was the verdict, and when was she sentenced.
Shah starred on the reality television series The Real Housewives of Salt Lake City, which premiered in November 2020. In March 2021, she was criminally charged with conspiracy to commit money laundering and wire fraud, pleading not guilty to both charges days later. Her legal case was chronicled in the documentary fil...
Shah starred on the reality television series The Real Housewives of Salt Lake City, which premiered in November 2020. In March 2021, she was criminally charged with conspiracy to commit money laundering and wire fraud, pleading not guilty to both charges days later. Her legal case was chronicled in the documentary fil...
[]
{ "start": [ 29 ], "end": [ 37 ], "label": [ "PER" ], "text": [ "Jen Shah" ], "score": [ 0.9998524188995361 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 46, 322, 373 ], "end": [ 83, 352, 377 ], "label": [ "MEDIA", "MEDIA", "ORG" ], "text": [ "The Real Housewives of Salt Lake City", "Housewife and the Shah Shocker", "Hulu" ], "score": [ 0.9976035952568054, 0.990147054195404, 0.905...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Jen Shah came into the spotlight in November 2020 when The Real Housewives of Salt Lake City aired. In March 2021 she was charged with conspiracy to commit money laundering as well as wire fraud. She pled not guilty, but then come July 2022 she plead guilty to commit wire fraud. January of 2023 she was sentenced to 6.5...
{ "type": null, "score": null, "agent": null }
null
{}
What types of problems in government could AI be used to solve
The potential uses of AI in government are wide and varied, with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". Mehr suggests that six types of government problems are appropriate for AI applications: - Resource allocation - such as where administ...
The potential uses of AI in government are wide and varied, with Deloitte considering that "Cognitive technologies could eventually revolutionize every facet of government operations". Mehr suggests that six types of government problems are appropriate for AI applications: - Resource allocation - such as where administ...
[]
{ "start": [], "end": [], "label": [], "text": [], "score": [] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 65 ], "end": [ 73 ], "label": [ "ORG" ], "text": [ "Deloitte" ], "score": [ 0.8343961834907532 ] }
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
The potential uses of AI in government are wide and varied but some appropriate areas to consider AI applications include: Resource allocation; Large datasets; Repetitive tasks; Answering basic questions; Summarising data from multiple forms; Predicting future scenarios based on historical data.
{ "type": null, "score": null, "agent": null }
null
{}
From the passage provided, extract the state Lincoln was born in
Abraham Lincoln (/ˈlɪŋkən/ LINK-ən; February 12, 1809 – April 15, 1865) was an American lawyer, politician and statesman who served as the 16th president of the United States from 1861 until his assassination in 1865. Lincoln led the Union through the American Civil War to defend the nation as a constitutional union an...
Abraham Lincoln (/ˈlɪŋkən/ LINK-ən; February 12, 1809 – April 15, 1865) was an American lawyer, politician and statesman who served as the 16th president of the United States from 1861 until his assassination in 1865. Lincoln led the Union through the American Civil War to defend the nation as a constitutional union an...
[]
{ "start": [ 45 ], "end": [ 52 ], "label": [ "PER" ], "text": [ "Lincoln" ], "score": [ 0.9968961477279663 ] }
{ "type": null, "score": null, "agent": null }
[]
{ "start": [ 0, 161, 218, 234, 252, 410, 473, 527, 578, 597, 650, 723, 764, 889, 982, 1050, 1101 ], "end": [ 15, 174, 225, 239, 270, 414, 481, 534, 588, 605, 658, 731, 783, 905, 1000, ...
{ "type": null, "score": null, "agent": null }
[]
null
{ "type": null, "score": null, "agent": null }
[]
Lincoln was born in the state of Kentucky
{ "type": null, "score": null, "agent": null }
null
{}
End of preview. Expand in Data Studio

Dataset Card for test_spans_dataset

This dataset has been created with Argilla.

As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.

Dataset Summary

This dataset contains:

  • A dataset configuration file conforming to the Argilla dataset format named argilla.yaml. This configuration file will be used to configure the dataset when using the FeedbackDataset.from_huggingface method in Argilla.

  • Dataset records in a format compatible with HuggingFace datasets. These records will be loaded automatically when using FeedbackDataset.from_huggingface and can be loaded independently using the datasets library via load_dataset.

  • The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.

Load with Argilla

To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:

import argilla as rg

ds = rg.FeedbackDataset.from_huggingface("nataliaElv/test_spans_dataset")

Load with datasets

To load this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:

from datasets import load_dataset

ds = load_dataset("nataliaElv/test_spans_dataset")

Supported Tasks and Leaderboards

This dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.

There are no leaderboards associated with this dataset.

Languages

[More Information Needed]

Dataset Structure

Data in Argilla

The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.

The fields are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.

Field Name Title Type Required Markdown
prompt Prompt-(Ents) text True False
input Input-(Ents) text True False
input2 Input-(Info Extraction) text True False

The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.

Question Name Title Type Required Description Values/Labels
prompt-ents Highlight the entities inside Prompt-(Ents): span True N/A N/A
input-ents Highlight the entities inside Input-(Ents): span True N/A N/A
info-extraction Highlight the information inside Input-(Info Extraction) that is relevant to the prompt span True N/A N/A
final-response Provide a correct response given the prompt and the input: text True Only make the necessary corrections. You can submit the text as it is, if it's correct. N/A

The suggestions are human or machine generated recommendations for each question to assist the annotator during the annotation process, so those are always linked to the existing questions, and named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above, but the column name is appended with "-suggestion" and the metadata is appended with "-suggestion-metadata".

The metadata is a dictionary that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the metadata_properties defined in the dataset configuration file in argilla.yaml.

Metadata Name Title Type Values Visible for Annotators

The guidelines, are optional as well, and are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.

Data Instances

An example of a dataset instance in Argilla looks as follows:

{
    "external_id": null,
    "fields": {
        "input": "Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia\u0027s domestic market after the collapse of Ansett Australia in September 2001. The airline has since grown to directly serve 32 cities in Australia, from hubs in Brisbane, Melbourne and Sydney.",
        "input2": "Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia\u0027s domestic market after the collapse of Ansett Australia in September 2001. The airline has since grown to directly serve 32 cities in Australia, from hubs in Brisbane, Melbourne and Sydney.",
        "prompt": "When did Virgin Australia start operating?"
    },
    "metadata": {},
    "responses": [],
    "suggestions": [
        {
            "agent": null,
            "question_name": "prompt-ents",
            "score": null,
            "type": null,
            "value": [
                {
                    "end": 25,
                    "label": "ORG",
                    "score": 0.9999854564666748,
                    "start": 9
                }
            ]
        },
        {
            "agent": null,
            "question_name": "input-ents",
            "score": null,
            "type": null,
            "value": [
                {
                    "end": 16,
                    "label": "ORG",
                    "score": 0.9998990297317505,
                    "start": 0
                },
                {
                    "end": 71,
                    "label": "ORG",
                    "score": 0.9999301433563232,
                    "start": 38
                },
                {
                    "end": 162,
                    "label": "ORG",
                    "score": 0.9961417317390442,
                    "start": 156
                },
                {
                    "end": 224,
                    "label": "ORG",
                    "score": 0.9999250173568726,
                    "start": 213
                },
                {
                    "end": 319,
                    "label": "LOC",
                    "score": 0.9998377561569214,
                    "start": 310
                },
                {
                    "end": 376,
                    "label": "ORG",
                    "score": 0.9999576807022095,
                    "start": 360
                },
                {
                    "end": 464,
                    "label": "LOC",
                    "score": 0.9998786449432373,
                    "start": 455
                },
                {
                    "end": 487,
                    "label": "LOC",
                    "score": 0.9998598098754883,
                    "start": 479
                },
                {
                    "end": 498,
                    "label": "LOC",
                    "score": 0.9997498393058777,
                    "start": 489
                },
                {
                    "end": 509,
                    "label": "LOC",
                    "score": 0.9998868703842163,
                    "start": 503
                }
            ]
        },
        {
            "agent": null,
            "question_name": "final-response",
            "score": null,
            "type": null,
            "value": "Virgin Australia commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route."
        }
    ],
    "vectors": {}
}

While the same record in HuggingFace datasets looks as follows:

{
    "external_id": null,
    "final-response": [],
    "final-response-suggestion": "Virgin Australia commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route.",
    "final-response-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "info-extraction": [],
    "info-extraction-suggestion": null,
    "info-extraction-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "input": "Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia\u0027s domestic market after the collapse of Ansett Australia in September 2001. The airline has since grown to directly serve 32 cities in Australia, from hubs in Brisbane, Melbourne and Sydney.",
    "input-ents": [],
    "input-ents-suggestion": {
        "end": [
            16,
            71,
            162,
            224,
            319,
            376,
            464,
            487,
            498,
            509
        ],
        "label": [
            "ORG",
            "ORG",
            "ORG",
            "ORG",
            "LOC",
            "ORG",
            "LOC",
            "LOC",
            "LOC",
            "LOC"
        ],
        "score": [
            0.9998990297317505,
            0.9999301433563232,
            0.9961417317390442,
            0.9999250173568726,
            0.9998377561569214,
            0.9999576807022095,
            0.9998786449432373,
            0.9998598098754883,
            0.9997498393058777,
            0.9998868703842163
        ],
        "start": [
            0,
            38,
            156,
            213,
            310,
            360,
            455,
            479,
            489,
            503
        ],
        "text": [
            "Virgin Australia",
            "Virgin Australia Airlines Pty Ltd",
            "Virgin",
            "Virgin Blue",
            "Australia",
            "Ansett Australia",
            "Australia",
            "Brisbane",
            "Melbourne",
            "Sydney"
        ]
    },
    "input-ents-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    },
    "input2": "Virgin Australia, the trading name of Virgin Australia Airlines Pty Ltd, is an Australian-based airline. It is the largest airline by fleet size to use the Virgin brand. It commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. It suddenly found itself as a major airline in Australia\u0027s domestic market after the collapse of Ansett Australia in September 2001. The airline has since grown to directly serve 32 cities in Australia, from hubs in Brisbane, Melbourne and Sydney.",
    "metadata": "{}",
    "prompt": "When did Virgin Australia start operating?",
    "prompt-ents": [],
    "prompt-ents-suggestion": {
        "end": [
            25
        ],
        "label": [
            "ORG"
        ],
        "score": [
            0.9999854564666748
        ],
        "start": [
            9
        ],
        "text": [
            "Virgin Australia"
        ]
    },
    "prompt-ents-suggestion-metadata": {
        "agent": null,
        "score": null,
        "type": null
    }
}

Data Fields

Among the dataset fields, we differentiate between the following:

  • Fields: These are the dataset records themselves, for the moment just text fields are supported. These are the ones that will be used to provide responses to the questions.

    • prompt is of type text.
    • input is of type text.
    • input2 is of type text.
  • Questions: These are the questions that will be asked to the annotators. They can be of different types, such as RatingQuestion, TextQuestion, LabelQuestion, MultiLabelQuestion, and RankingQuestion.

    • prompt-ents is of type span.
    • input-ents is of type span.
    • info-extraction is of type span.
    • final-response is of type text, and description "Only make the necessary corrections. You can submit the text as it is, if it's correct.".
  • Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.

    • (optional) prompt-ents-suggestion is of type span.
    • (optional) input-ents-suggestion is of type span.
    • (optional) info-extraction-suggestion is of type span.
    • (optional) final-response-suggestion is of type text.

Additionally, we also have two more fields that are optional and are the following:

  • metadata: This is an optional field that can be used to provide additional information about the dataset record. This can be useful to provide additional context to the annotators, or to provide additional information about the dataset record itself. For example, you can use this to provide a link to the original source of the dataset record, or to provide additional information about the dataset record itself, such as the author, the date, or the source. The metadata is always optional, and can be potentially linked to the metadata_properties defined in the dataset configuration file in argilla.yaml.
  • external_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.

Data Splits

The dataset contains a single split, which is train.

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation guidelines

This is a subset of the Dolly dataset with prompts classified as being Closed QA or Information Extractions tasks.
In the record, you will find the prompt and the input of the task. In the first two fields, you will need to highlight and classify all entities found in the prompt and the input. These are marked as (Ents) for easier recognition.
The input field is then repeated as "Input-(Info Extraction)". Using the "Relevant Info" tag, highlight all pieces of information in the input that are relevant to answer the prompt.
Finally, you will be asked to provide a correct response following the prompt and the given input. You may submit the text as it is, if it's correct, or make any necessary amendments.

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

[More Information Needed]

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