prompt
stringlengths 12
220
| input
stringlengths 105
12.5k
| input2
stringlengths 105
12.5k
| prompt-ents
listlengths 0
1
| prompt-ents-suggestion
sequence | prompt-ents-suggestion-metadata
dict | input-ents
listlengths 0
1
| input-ents-suggestion
sequence | input-ents-suggestion-metadata
dict | info-extraction
listlengths 0
1
| info-extraction-suggestion
sequence | info-extraction-suggestion-metadata
dict | final-response
listlengths 0
1
| final-response-suggestion
stringlengths 4
8.74k
| final-response-suggestion-metadata
dict | external_id
stringclasses 0
values | metadata
stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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's 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. | 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's 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. | [] | {
"start": [
9
],
"end": [
25
],
"label": [
"ORG"
],
"text": [
"Virgin Australia"
],
"score": [
0.9999854564666748
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0,
38,
156,
213,
310,
360,
455,
479,
489,
503
],
"end": [
16,
71,
162,
224,
319,
376,
464,
487,
498,
509
],
"label": [
"ORG",
"ORG",
"ORG",
"ORG",
"LOC",
"ORG",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Virgin Australia",
"Virgin Australia Airlines Pty Ltd",
"Virgin",
"Virgin Blue",
"Australia",
"Ansett Australia",
"Australia",
"Brisbane",
"Melbourne",
"Sydney"
],
"score": [
0.9998990297317505,
0.9999301433563232,
0.9961417317390442,
0.9999250173568726,
0.9998377561569214,
0.9999576807022095,
0.9998786449432373,
0.9998598098754883,
0.9997498393058777,
0.9998868703842163
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Virgin Australia commenced services on 31 August 2000 as Virgin Blue, with two aircraft on a single route. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Oita Trinita. He became a regular player as a defensive midfielder and the club won the championship in 2002 and was promoted in 2003. He played many matches until 2005. In September 2005, he moved to the J2 club Montedio Yamagata. In 2006, he moved to the J2 club Vissel Kobe. Although he became a regular player as a defensive midfielder, his gradually was played less during the summer. In 2007, he moved to the Japan Football League club Rosso Kumamoto (later Roasso Kumamoto) based in his local region. He played as a regular player and the club was promoted to J2 in 2008. Although he did not play as much, he still played in many matches. In 2010, he moved to Indonesia and joined Persela Lamongan. In July 2010, he returned to Japan and joined the J2 club Giravanz Kitakyushu. He played often as a defensive midfielder and center back until 2012 when he retired. | 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 Oita Trinita. He became a regular player as a defensive midfielder and the club won the championship in 2002 and was promoted in 2003. He played many matches until 2005. In September 2005, he moved to the J2 club Montedio Yamagata. In 2006, he moved to the J2 club Vissel Kobe. Although he became a regular player as a defensive midfielder, his gradually was played less during the summer. In 2007, he moved to the Japan Football League club Rosso Kumamoto (later Roasso Kumamoto) based in his local region. He played as a regular player and the club was promoted to J2 in 2008. Although he did not play as much, he still played in many matches. In 2010, he moved to Indonesia and joined Persela Lamongan. In July 2010, he returned to Japan and joined the J2 club Giravanz Kitakyushu. He played often as a defensive midfielder and center back until 2012 when he retired. | [] | {
"start": [
9
],
"end": [
25
],
"label": [
"PER"
],
"text": [
"Tomoaki Komorida"
],
"score": [
0.9999406337738037
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
21,
108,
123,
247,
321,
534,
586,
736,
763,
785,
988,
1009,
1056,
1085
],
"end": [
40,
117,
137,
256,
333,
551,
597,
757,
777,
800,
997,
1025,
1061,
1086
],
"label": [
"LOC",
"ORG",
"ORG",
"EVE",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"LOC",
"ORG",
"LOC",
"ORG"
],
"text": [
"Kumamoto Prefecture",
"J1 League",
"Avispa Fukuoka",
"J2 League",
"Oita Trinita",
"Montedio Yamagata",
"Vissel Kobe",
"Japan Football League",
"Rosso Kumamoto",
"Roasso Kumamoto",
"Indonesia",
"Persela Lamongan",
"Japan",
"G"
],
"score": [
0.9982471466064453,
0.935763955116272,
0.9999709129333496,
0.506571888923645,
0.9999560117721558,
0.9999701976776123,
0.9999502897262573,
0.8394659161567688,
0.9998754262924194,
0.9996421337127686,
0.9993742108345032,
0.9999122619628906,
0.9962146878242493,
0.7493036389350891
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Tomoaki Komorida was born on July 10,1981. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 much rarer, usually taking the form of a swindle that succeeds only if the superior side is inattentive.[citation needed] Stalemate is also a common theme in endgame studies and other chess problems.
The outcome of a stalemate was standardized as a draw in the 19th century. Before this standardization, its treatment varied widely, including being deemed a win for the stalemating player, a half-win for that player, or a loss for that player; not being permitted; and resulting in the stalemated player missing a turn. Stalemate rules vary in other games of the chess family. | 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 much rarer, usually taking the form of a swindle that succeeds only if the superior side is inattentive.[citation needed] Stalemate is also a common theme in endgame studies and other chess problems.
The outcome of a stalemate was standardized as a draw in the 19th century. Before this standardization, its treatment varied widely, including being deemed a win for the stalemating player, a half-win for that player, or a loss for that player; not being permitted; and resulting in the stalemated player missing a turn. Stalemate rules vary in other games of the chess family. | [] | {
"start": [
37
],
"end": [
46
],
"label": [
"TIME"
],
"text": [
"stalemate"
],
"score": [
0.8354788422584534
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
579
],
"end": [
591
],
"label": [
"TIME"
],
"text": [
"19th century"
],
"score": [
0.5480685830116272
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | No.
Stalemate is a drawn position. It doesn't matter who has captured more pieces or is in a winning position | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 hop, and electronic dance music. Lollapalooza has also featured visual arts, nonprofit organizations, and political organizations. The festival, held in Grant Park, hosts an estimated 400,000 people each July and sells out annually. Lollapalooza is one of the largest and most iconic music festivals in the world and one of the longest-running in the United States.
Lollapalooza was conceived and created in 1991 as a farewell tour by Perry Farrell, singer of the group Jane's Addiction. | 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 hop, and electronic dance music. Lollapalooza has also featured visual arts, nonprofit organizations, and political organizations. The festival, held in Grant Park, hosts an estimated 400,000 people each July and sells out annually. Lollapalooza is one of the largest and most iconic music festivals in the world and one of the longest-running in the United States.
Lollapalooza was conceived and created in 1991 as a farewell tour by Perry Farrell, singer of the group Jane's Addiction. | [] | {
"start": [
29
],
"end": [
41
],
"label": [
"PER"
],
"text": [
"Lollapalooza"
],
"score": [
0.7032540440559387
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
91,
105,
189,
471,
669,
754,
789
],
"end": [
101,
112,
196,
481,
682,
767,
805
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"PER",
"ORG"
],
"text": [
"Grant Park",
"Chicago",
"Chicago",
"Grant Park",
"United States",
"Perry Farrell",
"Jane's Addiction"
],
"score": [
0.999976396560669,
0.9999595880508423,
0.9999402761459351,
0.9999839067459106,
0.998940646648407,
0.9998676776885986,
0.989977240562439
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. The festivals welcomes an estimated 400,000 people each year and sells out annually. Some notable headliners include: the Red Hot Chili Peppers, Chance the Rapper, Metallica, and Lady Gage. Lollapalooza is one of the largest and most iconic festivals in the world and a staple of Chicago. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 first of his 128 firearm patents on October 7, 1879, at the age of 24. He is regarded as one of the most successful firearms designers of the 19th and 20th centuries and pioneered the development of modern repeating, semi-automatic, and automatic firearms.
Browning influenced nearly all categories of firearms design, especially the autoloading of ammunition. He invented, or made significant improvements to, single-shot, lever-action, and pump-action rifles and shotguns. He developed the first reliable and compact autoloading pistols by inventing the telescoping bolt, then integrating the bolt and barrel shroud into what is known as the pistol slide. Browning's telescoping bolt design is now found on nearly every modern semi-automatic pistol, as well as several modern fully automatic weapons. He also developed the first gas-operated firearm, the Colt–Browning Model 1895 machine gun – a system that surpassed mechanical recoil operation to become the standard for most high-power self-loading firearm designs worldwide. He also made significant contributions to automatic cannon development.
Browning's most successful designs include the M1911 pistol, the water-cooled M1917, the air-cooled M1919, and heavy M2 machine guns, the M1918 Browning Automatic Rifle, and the Browning Auto-5 – the first semi-automatic shotgun. Some of these arms are still manufactured, often with only minor changes in detail and cosmetics to those assembled by Browning or his licensees. The Browning-designed M1911 and Hi-Power are some of the most copied firearms in the world. | 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 first of his 128 firearm patents on October 7, 1879, at the age of 24. He is regarded as one of the most successful firearms designers of the 19th and 20th centuries and pioneered the development of modern repeating, semi-automatic, and automatic firearms.
Browning influenced nearly all categories of firearms design, especially the autoloading of ammunition. He invented, or made significant improvements to, single-shot, lever-action, and pump-action rifles and shotguns. He developed the first reliable and compact autoloading pistols by inventing the telescoping bolt, then integrating the bolt and barrel shroud into what is known as the pistol slide. Browning's telescoping bolt design is now found on nearly every modern semi-automatic pistol, as well as several modern fully automatic weapons. He also developed the first gas-operated firearm, the Colt–Browning Model 1895 machine gun – a system that surpassed mechanical recoil operation to become the standard for most high-power self-loading firearm designs worldwide. He also made significant contributions to automatic cannon development.
Browning's most successful designs include the M1911 pistol, the water-cooled M1917, the air-cooled M1919, and heavy M2 machine guns, the M1918 Browning Automatic Rifle, and the Browning Auto-5 – the first semi-automatic shotgun. Some of these arms are still manufactured, often with only minor changes in detail and cosmetics to those assembled by Browning or his licensees. The Browning-designed M1911 and Hi-Power are some of the most copied firearms in the world. | [] | {
"start": [
8
],
"end": [
27
],
"label": [
"PER"
],
"text": [
"John Moses Browning"
],
"score": [
0.9999618530273438
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0
],
"end": [
19
],
"label": [
"PER"
],
"text": [
"John Moses Browning"
],
"score": [
0.9999603033065796
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 single-shot, lever-action, and pump-action rifles and shotguns.
Today, he is most well-known for the M1911 pistol, the Browning Automatic Rifle, and the Auto-5 shotgun, all of which are in still in current production in either their original design, or with minor changes. His M1911 and Hi-Power pistols designs are some of the most reproduced firearms in the world today. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Independence, Jefferson was the Declaration's primary author. Following the American Revolutionary War and prior to becoming the nation's third president in 1801, Jefferson was the first United States secretary of state under George Washington and then the nation's second vice president under John Adams. | 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 Independence, Jefferson was the Declaration's primary author. Following the American Revolutionary War and prior to becoming the nation's third president in 1801, Jefferson was the first United States secretary of state under George Washington and then the nation's second vice president under John Adams. | [] | {
"start": [
7
],
"end": [
23
],
"label": [
"PER"
],
"text": [
"Thomas Jefferson"
],
"score": [
0.9999243021011353
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0,
179,
222,
255,
302,
331,
349,
393,
480,
504,
543,
611
],
"end": [
16,
192,
239,
282,
329,
340,
360,
419,
489,
517,
560,
621
],
"label": [
"PER",
"LOC",
"ORG",
"ORG",
"MEDIA",
"PER",
"MEDIA",
"EVE",
"PER",
"LOC",
"PER",
"PER"
],
"text": [
"Thomas Jefferson",
"United States",
"Committee of Five",
"Second Continental Congress",
"Declaration of Independence",
"Jefferson",
"Declaration",
"American Revolutionary War",
"Jefferson",
"United States",
"George Washington",
"John Adams"
],
"score": [
0.9999390840530396,
0.99970942735672,
0.9938414096832275,
0.6403753757476807,
0.9217042922973633,
0.9722588062286377,
0.7066816091537476,
0.9986217021942139,
0.9536616206169128,
0.9506589770317078,
0.9999550580978394,
0.9999562501907349
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 Independence, Jefferson was the Declaration's primary author. Following the American Revolutionary War and prior to becoming the nation's third president in 1801, Jefferson was the first United States secretary of state under George Washington and then the nation's second vice president under John Adams.
Among the nation's Founding Fathers, Jefferson is considered unmatched in his intellectual depth and breadth. His passionate writings and advocacy for human rights, including freedom of thought, speech, and religion, were a leading inspiration behind the American Revolution, which ultimately gave rise to the American Revolutionary War, American independence, and the United States Constitution. Jefferson's ideas were globally influential in shaping and inspiring the Age of Enlightenment, which proved transformational in the late 17th and 18th centuries. He was a leading proponent of democracy, republicanism, and individual rights, and produced formative documents and decisions at the state, national, and international levels.
During the American Revolution, Jefferson represented Virginia in the Second Continental Congress in Philadelphia, which adopted the Declaration of Independence on July 4, 1776. As a Virginia legislator, he drafted a state law for religious freedom. He served as the second Governor of Virginia from 1779 to 1781, during the Revolutionary War. In 1785, Jefferson was appointed the United States Minister to France, and subsequently, the nation's first secretary of state under President George Washington from 1790 to 1793. Jefferson and James Madison organized the Democratic-Republican Party to oppose the Federalist Party during the formation of the First Party System. With Madison, he anonymously wrote the Kentucky and Virginia Resolutions in 1798 and 1799, which sought to strengthen states' rights by nullifying the federal Alien and Sedition Acts.
Jefferson and Federalist John Adams became friends as well as political rivals, serving in the Continental Congress and drafting the Declaration of Independence together. In the 1796 presidential election between the two, Jefferson came in second, which according to electoral procedure at the time, made him vice president to Adams. Jefferson challenged Adams again in 1800 and won the presidency. After his term in office, Jefferson eventually reconciled with Adams and they shared a correspondence that lasted 14 years. He and Adams both died on the same day, July 4, 1826, which was also the 50th anniversary of Declaration of Independence.
As president, Jefferson pursued the nation's shipping and trade interests against Barbary pirates and aggressive British trade policies. Starting in 1803, he promoted a western expansionist policy with the Louisiana Purchase, which doubled the nation's claimed land area. To make room for settlement, Jefferson began the process of Indian tribal removal from the newly acquired territory. As a result of peace negotiations with France, his administration reduced military forces. He was re-elected in 1804, but his second term was beset with difficulties at home, including the trial of former vice president Aaron Burr. In 1807, American foreign trade was diminished when Jefferson implemented the Embargo Act in response to British threats to U.S. shipping. The same year, Jefferson signed the Act Prohibiting Importation of Slaves.
Jefferson was a plantation owner, lawyer, and politician, and mastered many disciplines including surveying, mathematics, horticulture, and mechanics. He was also an architect in the Palladian tradition. Jefferson's keen interest in religion and philosophy led to his appointment as president of the American Philosophical Society. He largely shunned organized religion but was influenced by Christianity, Epicureanism, and deism. Jefferson rejected fundamental Christianity, denying Christ's divinity. A philologist, Jefferson knew several languages. He was a prolific letter writer and corresponded with many prominent people, including Edward Carrington, John Taylor of Caroline, and James Madison. In 1785, Jefferson authored Notes on the State of Virginia, considered perhaps the most important American book published before 1800. Jefferson championed the ideals, values, and teachings of the Enlightenment.
Since the 1790s, Jefferson was rumored to have had children by his sister-in-law and slave Sally Hemings, leading to what is known as the Jefferson-Hemings controversy. A 1998 DNA test concluded that one of Sally Hemings's children, Eston Hemings, was of the Jefferson male line. According to scholarly consensus, based on documentary and statistical evaluation, as well as oral history, Jefferson probably fathered at least six children with Hemings, including four that survived to adulthood.
After retiring from public office, Jefferson founded the University of Virginia. Presidential scholars and historians generally praise Jefferson's public achievements, including his advocacy of religious freedom and tolerance in Virginia, his peaceful acquisition of the Louisiana Territory from France without war or controversy, and his ambitious and successful Lewis and Clark Expedition. Some modern historians are critical of Jefferson's personal involvement with slavery. Jefferson is consistently ranked among the top ten presidents of American history. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Performers, scoring the most tries at 6 in the 2012 Provincial Under 21 in the Rugby Junior Provincials.
This included a record and a remarkable personal haul in their opening match, when he scored 36 of his team's points in a 61–3 victory over Boland U21, consisting of four tries and eight conversions and was awarded Man of the Match. | 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 Performers, scoring the most tries at 6 in the 2012 Provincial Under 21 in the Rugby Junior Provincials.
This included a record and a remarkable personal haul in their opening match, when he scored 36 of his team's points in a 61–3 victory over Boland U21, consisting of four tries and eight conversions and was awarded Man of the Match. | [] | {
"start": [
8
],
"end": [
20
],
"label": [
"PER"
],
"text": [
"Kyle Van Zyl"
],
"score": [
0.9997628331184387
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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 Under-19 Provincial Championship",
"2012 Under-21 Provincial Championship",
"Top SARU Performers",
"Rugby Junior Provincials",
"Boland U21",
"Man of the Match"
],
"score": [
0.9942723512649536,
0.9136389493942261,
0.8577816486358643,
0.5554891228675842,
0.8374998569488525,
0.8451827764511108,
0.44195467233657837
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Kyle Van Zyl was playing against Boland U21 when he scored 36 points, leading his team to victory in a 61-3 win. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Africa and the seventh-largest in Africa. Located on the Swahili coast, Dar es Salaam is an important economic centre and is one of the fastest-growing cities in the world.
The town was founded by Majid bin Said, the first Sultan of Zanzibar, in 1865 or 1866. It was the main administrative and commercial center of German East Africa, Tanganyika, and Tanzania. The decision was made in 1974 to move the capital to Dodoma and was officially completed in 1996.
Dar es Salaam is Tanzania's most prominent city for arts, fashion, media, film, television, and finance. It is the capital of the co-extensive Dar es Salaam Region, one of Tanzania's 31 administrative regions, and consists of five districts: Kinondoni in the north; Ilala in the centre; Ubungo and Temeke in the south; and Kigamboni in the east across the Kurasini estuary. | 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 Africa and the seventh-largest in Africa. Located on the Swahili coast, Dar es Salaam is an important economic centre and is one of the fastest-growing cities in the world.
The town was founded by Majid bin Said, the first Sultan of Zanzibar, in 1865 or 1866. It was the main administrative and commercial center of German East Africa, Tanganyika, and Tanzania. The decision was made in 1974 to move the capital to Dodoma and was officially completed in 1996.
Dar es Salaam is Tanzania's most prominent city for arts, fashion, media, film, television, and finance. It is the capital of the co-extensive Dar es Salaam Region, one of Tanzania's 31 administrative regions, and consists of five districts: Kinondoni in the north; Ilala in the centre; Ubungo and Temeke in the south; and Kigamboni in the east across the Kurasini estuary. | [] | {
"start": [
47,
64
],
"end": [
60,
72
],
"label": [
"LOC",
"LOC"
],
"text": [
"Dar es Salaam",
"Tanzania"
],
"score": [
0.9999731779098511,
0.9923871755599976
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0,
133,
179,
215,
283,
310,
349,
372,
387,
513,
549,
632,
652,
668,
731,
777,
794,
920,
949,
1019
],
"end": [
13,
136,
187,
235,
286,
321,
355,
379,
400,
527,
557,
650,
662,
676,
737,
790,
802,
940,
957,
1028
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"MEDIA",
"LOC",
"PER",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Dar es Salaam",
"Dar",
"Tanzania",
"Dar es Salaam Region",
"Dar",
"East Africa",
"Africa",
"Swahili",
"Dar es Salaam",
"Majid bin Said",
"Zanzibar",
"German East Africa",
"Tanganyika",
"Tanzania",
"Dodoma",
"Dar es Salaam",
"Tanzania",
"Dar es Salaam Region",
"Tanzania",
"Kinondoni"
],
"score": [
0.9999074935913086,
0.9051659107208252,
0.9998502731323242,
0.9998632669448853,
0.9757172465324402,
0.9999556541442871,
0.9998836517333984,
0.8984857797622681,
0.9972062706947327,
0.9990692734718323,
0.9946539402008057,
0.9998247027397156,
0.9999523162841797,
0.9996405839920044,
0.9999570846557617,
0.9781736731529236,
0.9926480054855347,
0.9946491122245789,
0.9986966252326965,
0.9929813146591187
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | arts, fashion, media, film, television, finance | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 availability of event data and the desire to improve processes.Process mining techniques use event data to show what people, machines, and organizations are really doing. Process mining provides novel insights that can be used to identify the executional path taken by operational processes and address their performance and compliance problems.
Process mining starts from event data. Input for process mining is an event log. An event log views a process from a particular angle. Each event in the log should contain (1) a unique identifier for a particular process instance (called case id), (2) an activity (description of the event that is occurring), and (3) a timestamp. There may be additional event attributes referring to resources, costs, etc., but these are optional. With some effort, such data can be extracted from any information system supporting operational processes. Process mining uses these event data to answer a variety of process-related questions. | 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 availability of event data and the desire to improve processes.Process mining techniques use event data to show what people, machines, and organizations are really doing. Process mining provides novel insights that can be used to identify the executional path taken by operational processes and address their performance and compliance problems.
Process mining starts from event data. Input for process mining is an event log. An event log views a process from a particular angle. Each event in the log should contain (1) a unique identifier for a particular process instance (called case id), (2) an activity (description of the event that is occurring), and (3) a timestamp. There may be additional event attributes referring to resources, costs, etc., but these are optional. With some effort, such data can be extracted from any information system supporting operational processes. Process mining uses these event data to answer a variety of process-related questions. | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Process mining brings together data mining, data science and process management to find process efficiencies. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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, founded Automobili Ferruccio Lamborghini S.p.A. in 1963 to compete with Ferrari. The company was noted for using a rear mid-engine, rear-wheel drive layout. Lamborghini grew rapidly during its first decade, but sales plunged in the wake of the 1973 worldwide financial downturn and the oil crisis. The firm's ownership changed three times after 1973, including a bankruptcy in 1978. American Chrysler Corporation took control of Lamborghini in 1987 and sold it to Malaysian investment group Mycom Setdco and Indonesian group V'Power Corporation in 1994. In 1998, Mycom Setdco and V'Power sold Lamborghini to the Volkswagen Group where it was placed under the control of the group's Audi division.
New products and model lines were introduced to the brand's portfolio and brought to the market and saw an increased productivity for the brand. In the late 2000s, during the worldwide financial crisis and the subsequent economic crisis, Lamborghini's sales saw a drop of nearly 50 per cent.
Lamborghini currently produces the V12-powered Aventador and the V10-powered Huracán, along with the Urus SUV powered by a twin-turbo V8 engine. In addition, the company produces V12 engines for offshore powerboat racing.
Lamborghini Trattori, founded in 1948 by Ferruccio Lamborghini, is headquartered in Pieve di Cento, Italy and continues to produce tractors. Since 1973, Lamborghini Trattori has been a separate entity from the automobile manufacturer.
History
Main article: History of Lamborghini
Ferruccio Lamborghini with a Jarama and a tractor of his brand
Manufacturing magnate Italian Ferruccio Lamborghini founded the company in 1963 with the objective of producing a refined grand touring car to compete with offerings from established marques such as Ferrari. The company's first models, such as the 350 GT, were released in the mid-1960s. Lamborghini was noted for the 1966 Miura sports coupé, which used a rear mid-engine, rear-wheel drive layout.
Lamborghini grew rapidly during its first ten years, but sales fell in the wake of the 1973 worldwide financial downturn and the oil crisis. Ferruccio Lamborghini sold the company to Georges-Henri Rossetti and René Leimer and retired in 1974. The company went bankrupt in 1978, and was placed in the receivership of brothers Jean-Claude and Patrick Mimran in 1980. The Mimrans purchased the company out of receivership by 1984 and invested heavily in its expansion. Under the Mimrans' management, Lamborghini's model line was expanded from the Countach to include the Jalpa sports car and the LM002 high-performance off-road vehicle.
The Mimrans sold Lamborghini to the Chrysler Corporation in 1987. After replacing the Countach with the Diablo and discontinuing the Jalpa and the LM002, Chrysler sold Lamborghini to Malaysian investment group Mycom Setdco and Indonesian group V'Power Corporation in 1994. In 1998, Mycom Setdco and V'Power sold Lamborghini to the Volkswagen Group where it was placed under the control of the group's Audi division. New products and model lines were introduced to the brand's portfolio and brought to the market and saw an increased productivity for the brand Lamborghini. In the late 2000s, during the worldwide financial crisis and the subsequent economic crisis, Lamborghini's sales saw a drop of nearly 50 per cent.
In 2021, the CEO of Lamborghini said that by 2024 all its models will be hybrid.
Automobiles produced
Lamborghini Motorsport Division Squadra Corse produces GT3 cars and cars for their Super Trofeo events based on the Gallardo and Huracán. Apart from them, the Squadra Corse builds cars upon customer request.
GT3 and Super Trofeo Cars
Gallardo LP 570-4 Super Trofeo
Gallardo LP 560-4 Super Trofeo
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
Special cars
These cars were built by Squadra Corse upon customer request.
Essenza SCV12
SC18 Alston
SC20 | 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, founded Automobili Ferruccio Lamborghini S.p.A. in 1963 to compete with Ferrari. The company was noted for using a rear mid-engine, rear-wheel drive layout. Lamborghini grew rapidly during its first decade, but sales plunged in the wake of the 1973 worldwide financial downturn and the oil crisis. The firm's ownership changed three times after 1973, including a bankruptcy in 1978. American Chrysler Corporation took control of Lamborghini in 1987 and sold it to Malaysian investment group Mycom Setdco and Indonesian group V'Power Corporation in 1994. In 1998, Mycom Setdco and V'Power sold Lamborghini to the Volkswagen Group where it was placed under the control of the group's Audi division.
New products and model lines were introduced to the brand's portfolio and brought to the market and saw an increased productivity for the brand. In the late 2000s, during the worldwide financial crisis and the subsequent economic crisis, Lamborghini's sales saw a drop of nearly 50 per cent.
Lamborghini currently produces the V12-powered Aventador and the V10-powered Huracán, along with the Urus SUV powered by a twin-turbo V8 engine. In addition, the company produces V12 engines for offshore powerboat racing.
Lamborghini Trattori, founded in 1948 by Ferruccio Lamborghini, is headquartered in Pieve di Cento, Italy and continues to produce tractors. Since 1973, Lamborghini Trattori has been a separate entity from the automobile manufacturer.
History
Main article: History of Lamborghini
Ferruccio Lamborghini with a Jarama and a tractor of his brand
Manufacturing magnate Italian Ferruccio Lamborghini founded the company in 1963 with the objective of producing a refined grand touring car to compete with offerings from established marques such as Ferrari. The company's first models, such as the 350 GT, were released in the mid-1960s. Lamborghini was noted for the 1966 Miura sports coupé, which used a rear mid-engine, rear-wheel drive layout.
Lamborghini grew rapidly during its first ten years, but sales fell in the wake of the 1973 worldwide financial downturn and the oil crisis. Ferruccio Lamborghini sold the company to Georges-Henri Rossetti and René Leimer and retired in 1974. The company went bankrupt in 1978, and was placed in the receivership of brothers Jean-Claude and Patrick Mimran in 1980. The Mimrans purchased the company out of receivership by 1984 and invested heavily in its expansion. Under the Mimrans' management, Lamborghini's model line was expanded from the Countach to include the Jalpa sports car and the LM002 high-performance off-road vehicle.
The Mimrans sold Lamborghini to the Chrysler Corporation in 1987. After replacing the Countach with the Diablo and discontinuing the Jalpa and the LM002, Chrysler sold Lamborghini to Malaysian investment group Mycom Setdco and Indonesian group V'Power Corporation in 1994. In 1998, Mycom Setdco and V'Power sold Lamborghini to the Volkswagen Group where it was placed under the control of the group's Audi division. New products and model lines were introduced to the brand's portfolio and brought to the market and saw an increased productivity for the brand Lamborghini. In the late 2000s, during the worldwide financial crisis and the subsequent economic crisis, Lamborghini's sales saw a drop of nearly 50 per cent.
In 2021, the CEO of Lamborghini said that by 2024 all its models will be hybrid.
Automobiles produced
Lamborghini Motorsport Division Squadra Corse produces GT3 cars and cars for their Super Trofeo events based on the Gallardo and Huracán. Apart from them, the Squadra Corse builds cars upon customer request.
GT3 and Super Trofeo Cars
Gallardo LP 570-4 Super Trofeo
Gallardo LP 560-4 Super Trofeo
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
Special cars
These cars were built by Squadra Corse upon customer request.
Essenza SCV12
SC18 Alston
SC20 | [] | {
"start": [
21,
73,
91
],
"end": [
32,
80,
102
],
"label": [
"ORG",
"ORG",
"ORG"
],
"text": [
"Lamborghini",
"Huracan",
"Lamborghini"
],
"score": [
0.9991770386695862,
0.8133394122123718,
0.9982311129570007
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
89,
150,
200,
240,
247,
285,
388,
473,
699,
745,
780,
807,
841,
879,
896,
909,
928,
998
],
"end": [
96,
170,
216,
244,
268,
292,
395,
484,
728,
756,
789,
819,
860,
891,
903,
920,
944,
1002
],
"label": [
"LOC",
"LOC",
"ORG",
"ORG",
"PER",
"LOC",
"ORG",
"ORG",
"ORG",
"ORG",
"LOC",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG"
],
"text": [
"Italian",
"Sant'Agata Bolognese",
"Volkswagen Group",
"Audi",
"Ferruccio Lamborghini",
"Italian",
"Ferrari",
"Lamborghini",
"American Chrysler Corporation",
"Lamborghini",
"Malaysian",
"Mycom Setdco",
"V'Power Corporation",
"Mycom Setdco",
"V'Power",
"Lamborghini",
"Volkswagen Group",
"Audi"
],
"score": [
0.9723701477050781,
0.9916282892227173,
0.9998887777328491,
0.9996596574783325,
0.9421343803405762,
0.8847392201423645,
0.9987654685974121,
0.7592198252677917,
0.9990686774253845,
0.9841597676277161,
0.682736873626709,
0.9981435537338257,
0.9835712909698486,
0.9588114619255066,
0.990675687789917,
0.9922202229499817,
0.9989186525344849,
0.9941051006317139
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 encountered in dogs bred from responsible breeders. | 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 encountered in dogs bred from responsible breeders. | [] | {
"start": [
34
],
"end": [
50
],
"label": [
"VEHI"
],
"text": [
"Golden Retriever"
],
"score": [
0.41532692313194275
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The average lifespan of a Golden Retriever is 12 to 13 years. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 who recorded the song include the Ramones, Gene Clark, and Tom Petty and the Heartbreakers with Stevie Nicks.
Jackie DeShannon version (1963)
In his autobiography, Bono states that he sang along with Nitzsche's guitar-playing, thus creating both the tune and the lyrics, being guided by the chord progressions. However, Jackie DeShannon claims that the song was written at the piano, and that she was a full participant in the song's creation, along with Nitzsche and Bono, although she did not get formal credit.
DeShannon was the first to record the song; in the US it peaked at number 84 on the Billboard Hot 100 singles chart in May 1963. Though it was only a minor US hit, DeShannon's recording of the song topped the charts in Canada, hitting number one on the CHUM Chart in July 1963 | "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 who recorded the song include the Ramones, Gene Clark, and Tom Petty and the Heartbreakers with Stevie Nicks.
Jackie DeShannon version (1963)
In his autobiography, Bono states that he sang along with Nitzsche's guitar-playing, thus creating both the tune and the lyrics, being guided by the chord progressions. However, Jackie DeShannon claims that the song was written at the piano, and that she was a full participant in the song's creation, along with Nitzsche and Bono, although she did not get formal credit.
DeShannon was the first to record the song; in the US it peaked at number 84 on the Billboard Hot 100 singles chart in May 1963. Though it was only a minor US hit, DeShannon's recording of the song topped the charts in Canada, hitting number one on the CHUM Chart in July 1963 | [] | {
"start": [
32
],
"end": [
48
],
"label": [
"MEDIA"
],
"text": [
"Needles and Pins"
],
"score": [
0.21729645133018494
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
63,
81,
93,
196,
242,
272,
354,
363,
379,
416,
431,
485,
521,
641,
776,
789,
836,
920,
1000,
1055
],
"end": [
76,
91,
109,
205,
244,
278,
361,
373,
388,
428,
447,
489,
529,
657,
784,
793,
845,
937,
1009,
1061
],
"label": [
"PER",
"PER",
"PER",
"ORG",
"LOC",
"PER",
"ORG",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"MEDIA",
"PER",
"LOC"
],
"text": [
"Jack Nitzsche",
"Sonny Bono",
"Jackie DeShannon",
"Searchers",
"UK",
"Smokie",
"Ramones",
"Gene Clark",
"Tom Petty",
"Stevie Nicks",
"Jackie DeShannon",
"Bono",
"Nitzsche",
"Jackie DeShannon",
"Nitzsche",
"Bono",
"DeShannon",
"Billboard Hot 100",
"DeShannon",
"Canada"
],
"score": [
0.9999691247940063,
0.9999643564224243,
0.9999165534973145,
0.9623245596885681,
0.8827300071716309,
0.7072125673294067,
0.8698188662528992,
0.9999309778213501,
0.769446849822998,
0.9998584985733032,
0.9980568289756775,
0.997114896774292,
0.9195006489753723,
0.9898363947868347,
0.9958490133285522,
0.9995309114456177,
0.7328785061836243,
0.9232110977172852,
0.8091306090354919,
0.6245003342628479
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The first artist to record Needles and Pins song was DeShannon. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 all-wheel-drive U.S. spec GT 3.3T with Michelin Pilot Sport 4 tires achieved 0–60 mph (0–97 km/h) in 4.6 seconds on the track, reached 0.91 g on the skidpad and was able to stop from 70 mph (113 km/h) in 164 feet (50 m). According to this publication, the U.S. model's top speed is governed at 167 mph (269 km/h) per Kia specs. In tests conducted by Motor Trend, the four-cylinder U.S. spec Stinger 2.0 RWD on Bridgestone Potenza tires reached 60 mph (97 km/h) in 6.6 seconds, completed the 1⁄4-mile (0.4 km) run in 15 seconds and stopped from 60 mph (97 km/h) in 126 feet (38 m). The average lateral acceleration recorded in track testing was 0.85 g. | 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 all-wheel-drive U.S. spec GT 3.3T with Michelin Pilot Sport 4 tires achieved 0–60 mph (0–97 km/h) in 4.6 seconds on the track, reached 0.91 g on the skidpad and was able to stop from 70 mph (113 km/h) in 164 feet (50 m). According to this publication, the U.S. model's top speed is governed at 167 mph (269 km/h) per Kia specs. In tests conducted by Motor Trend, the four-cylinder U.S. spec Stinger 2.0 RWD on Bridgestone Potenza tires reached 60 mph (97 km/h) in 6.6 seconds, completed the 1⁄4-mile (0.4 km) run in 15 seconds and stopped from 60 mph (97 km/h) in 126 feet (38 m). The average lateral acceleration recorded in track testing was 0.85 g. | [] | {
"start": [
49
],
"end": [
60
],
"label": [
"VEHI"
],
"text": [
"Kia Stinger"
],
"score": [
0.753463864326477
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
218,
301,
359,
576,
670,
730
],
"end": [
228,
315,
379,
580,
681,
749
],
"label": [
"INST",
"ORG",
"ORG",
"LOC",
"ORG",
"ORG"
],
"text": [
"Stinger GT",
"Car and Driver",
"Michelin Pilot Sport",
"U.S.",
"Motor Trend",
"Bridgestone Potenza"
],
"score": [
0.7503544092178345,
0.9873164892196655,
0.797518789768219,
0.7099083662033081,
0.9948722720146179,
0.6357173919677734
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The top speed of a Kia Stinger is 269km/h (167mph) according to this text. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Antilles and part of the West Indies.
The British Virgin Islands consist of the main islands of Tortola, Virgin Gorda, Anegada and Jost Van Dyke, along with more than 50 other smaller islands and cays. About 16 of the islands are inhabited. The capital, Road Town, is on Tortola, the largest island, which is about 20 km (12 mi) long and 5 km (3 mi) wide. The islands had a population of 28,054 at the 2010 Census, of whom 23,491 lived on Tortola; current estimates put the population at 35,802 (July 2018). | 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 Antilles and part of the West Indies.
The British Virgin Islands consist of the main islands of Tortola, Virgin Gorda, Anegada and Jost Van Dyke, along with more than 50 other smaller islands and cays. About 16 of the islands are inhabited. The capital, Road Town, is on Tortola, the largest island, which is about 20 km (12 mi) long and 5 km (3 mi) wide. The islands had a population of 28,054 at the 2010 Census, of whom 23,491 lived on Tortola; current estimates put the population at 35,802 (July 2018). | [] | {
"start": [
14
],
"end": [
36
],
"label": [
"LOC"
],
"text": [
"British Virgin Islands"
],
"score": [
0.9981722831726074
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
4,
49,
71,
105,
131,
151,
187,
240,
290,
313,
345,
363,
417,
426,
440,
452,
575,
592,
760
],
"end": [
26,
63,
97,
114,
142,
168,
195,
254,
305,
328,
356,
385,
424,
438,
447,
465,
584,
599,
767
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"British Virgin Islands",
"Virgin Islands",
"British Overseas Territory",
"Caribbean",
"Puerto Rico",
"US Virgin Islands",
"Anguilla",
"Virgin Islands",
"Leeward Islands",
"Lesser Antilles",
"West Indies",
"British Virgin Islands",
"Tortola",
"Virgin Gorda",
"Anegada",
"Jost Van Dyke",
"Road Town",
"Tortola",
"Tortola"
],
"score": [
0.9999144077301025,
0.9999027252197266,
0.9998956918716431,
0.9999173879623413,
0.9999833106994629,
0.9997610449790955,
0.9999868869781494,
0.9999370574951172,
0.9999748468399048,
0.9999755620956421,
0.9999804496765137,
0.999602735042572,
0.9999872446060181,
0.9999819993972778,
0.9999829530715942,
0.9999817609786987,
0.9999722242355347,
0.9999785423278809,
0.9999805688858032
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 Antilles and part of the West Indies.
The British Virgin Islands consist of the main islands of Tortola, Virgin Gorda, Anegada and Jost Van Dyke, along with more than 50 other smaller islands and cays. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 offspring improves the chances of offspring reproducing, up until the fourth-cousin level of relatedness; however, reproduction between individuals on the fourth-cousin level of relatedness decreases evolutionarily fitness. | 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 offspring improves the chances of offspring reproducing, up until the fourth-cousin level of relatedness; however, reproduction between individuals on the fourth-cousin level of relatedness decreases evolutionarily fitness. | [] | {
"start": [
6,
23
],
"end": [
17,
33
],
"label": [
"DIS",
"DIS"
],
"text": [
"outbreeding",
"inbreeding"
],
"score": [
0.5033770203590393,
0.5767819881439209
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
112,
138
],
"end": [
123,
148
],
"label": [
"DIS",
"DIS"
],
"text": [
"outbreeding",
"inbreeding"
],
"score": [
0.4868324398994446,
0.6573398113250732
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | "Outbreeding" is more beneficial to the offspring as it reduces the risk of inheriting defective genes, increasing the offspring's ability to reproduce. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 of the original line of the Great Western Railway (GWR). Reading is the ninth-busiest station in the UK outside London and the second busiest interchange station outside London with over 3.8 million passengers changing trains at the station annually. | 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 of the original line of the Great Western Railway (GWR). Reading is the ninth-busiest station in the UK outside London and the second busiest interchange station outside London with over 3.8 million passengers changing trains at the station annually. | [] | {
"start": [
19
],
"end": [
26
],
"label": [
"LOC"
],
"text": [
"Reading"
],
"score": [
0.9977299571037292
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
52,
61,
72,
178,
214,
243,
349,
378,
422,
433,
491
],
"end": [
59,
70,
79,
190,
231,
250,
370,
385,
424,
439,
497
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"ORG",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Reading",
"Berkshire",
"England",
"River Thames",
"London Paddington",
"Reading",
"Great Western Railway",
"Reading",
"UK",
"London",
"London"
],
"score": [
0.9999184608459473,
0.9999394416809082,
0.9999215602874756,
0.9999504089355469,
0.9995225667953491,
0.6816866993904114,
0.999931812286377,
0.7914370894432068,
0.996723473072052,
0.9975255131721497,
0.9993877410888672
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The first Reading railway station was opened on the 30th of March, 1840. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 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. | 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. | [] | {
"start": [
8
],
"end": [
12
],
"label": [
"ORG"
],
"text": [
"HiFI"
],
"score": [
0.47000443935394287
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 released her debut extended play (EP), titled Don't Smile at Me. Commercially successful, it reached the top 15 of record charts in numerous countries, including the US, UK, Canada, and Australia.
Eilish's first studio album, When We All Fall Asleep, Where Do We Go? (2019), debuted atop the US Billboard 200 and UK Albums Chart. It was one of the best-selling albums of the year, buoyed by the success of its fifth single "Bad Guy", Eilish's first number-one on the US Billboard Hot 100. This made her the first artist born in the 21st century to release a chart-topping single. The following year, Eilish performed the theme song "No Time to Die" for the James Bond film of the same name, which topped the UK Singles Chart and won the Academy Award for Best Original Song in 2022. Her subsequent singles "Everything I Wanted", "My Future", "Therefore I Am", and "Your Power" peaked in the top 10 in the US and UK. Her second studio album, Happier Than Ever (2021), topped charts in 25 countries. | 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 released her debut extended play (EP), titled Don't Smile at Me. Commercially successful, it reached the top 15 of record charts in numerous countries, including the US, UK, Canada, and Australia.
Eilish's first studio album, When We All Fall Asleep, Where Do We Go? (2019), debuted atop the US Billboard 200 and UK Albums Chart. It was one of the best-selling albums of the year, buoyed by the success of its fifth single "Bad Guy", Eilish's first number-one on the US Billboard Hot 100. This made her the first artist born in the 21st century to release a chart-topping single. The following year, Eilish performed the theme song "No Time to Die" for the James Bond film of the same name, which topped the UK Singles Chart and won the Academy Award for Best Original Song in 2022. Her subsequent singles "Everything I Wanted", "My Future", "Therefore I Am", and "Your Power" peaked in the top 10 in the US and UK. Her second studio album, Happier Than Ever (2021), topped charts in 25 countries. | [] | {
"start": [
27
],
"end": [
40
],
"label": [
"PER"
],
"text": [
"Billie Eilish"
],
"score": [
0.9999034404754639
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0,
184,
233,
363,
483,
487,
491,
503,
742,
951
],
"end": [
36,
194,
250,
380,
485,
489,
497,
512,
749,
965
],
"label": [
"PER",
"MEDIA",
"PER",
"MEDIA",
"LOC",
"LOC",
"LOC",
"LOC",
"MEDIA",
"MEDIA"
],
"text": [
"Billie Eilish Pirate Baird O'Connell",
"Ocean Eyes",
"Finneas O'Connell",
"Don't Smile at Me",
"US",
"UK",
"Canada",
"Australia",
"Bad Guy",
"No Time to Die"
],
"score": [
0.9887970685958862,
0.9897701740264893,
0.9997240900993347,
0.9982537627220154,
0.9996161460876465,
0.9998657703399658,
0.9998397827148438,
0.9996645450592041,
0.9968717694282532,
0.9225247502326965
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Her brother Finneas O'Connell produced her debut single "Ocean Eyes", and her chart topping single is "Bad Guy" | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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. | [] | {
"start": [
14
],
"end": [
26
],
"label": [
"PER"
],
"text": [
"John Baldwin"
],
"score": [
0.9999873638153076
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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"
],
"score": [
0.9998854398727417,
0.9998692274093628,
0.9656227231025696,
0.9524049162864685,
0.9999244213104248
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 three children. | 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 three children. | [] | {
"start": [
96
],
"end": [
100
],
"label": [
"TIME"
],
"text": [
"Date"
],
"score": [
0.825280487537384
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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",
"Benning Leavitt",
"Chicopee Selectman",
"Olive (Jenness) Leavitt",
"West Springfield",
"Massachusetts",
"Ruth Jeannette Ball"
],
"score": [
0.9999550580978394,
0.9999856948852539,
0.9999027252197266,
0.9986631870269775,
0.999890923500061,
0.9999696016311646,
0.9999463558197021,
0.9999226331710815
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | • November 16, 1813 - This is when Daniel Leavitt was born
• 1838 - This is when Daniel Leavitt married his wife Ruth Jeannette Ball. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 the Naval Physical and Oceanographic Laboratory (NPOL), Kochi and the Naval Science and Technological Laboratory (NSTL), Visakhapatnam. Bharat Electronics is manufacturing it India. | 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 the Naval Physical and Oceanographic Laboratory (NPOL), Kochi and the Naval Science and Technological Laboratory (NSTL), Visakhapatnam. Bharat Electronics is manufacturing it India. | [] | {
"start": [
12
],
"end": [
52
],
"label": [
"INST"
],
"text": [
"Maareech Advanced Torpedo Defence System"
],
"score": [
0.9393739104270935
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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 Torpedo Defence System",
"Indian Navy",
"Naval Physical and Oceanographic Laboratory",
"Kochi",
"Naval Science and Technological Laboratory",
"Visakhapatnam",
"Bharat Electronics",
"India"
],
"score": [
0.7208095192909241,
0.9999563694000244,
0.9995169639587402,
0.9537054300308228,
0.999631404876709,
0.9995904564857483,
0.9995949864387512,
0.9997219443321228
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The Maareech Advanced Torpedo Defence System (ATDS is a torpedo detection and countermeasure system used by the Indian Navy. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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"
],
"score": [
0.9999388456344604,
0.9997197985649109,
0.9995205402374268,
0.9999409914016724,
0.9999762773513794
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0
],
"end": [
15
],
"label": [
"PER"
],
"text": [
"Shoji Hashimoto"
],
"score": [
0.9982398748397827
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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, Okahashi Hirotada, and Hayashi Kōzō. He was a member of the Kansai Ki-in. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 2018. Wenger is the club's longest-serving manager; he surpassed George Allison's record of 13 years in October 2009. Two Arsenal managers have died in the job – Herbert Chapman and Tom Whittaker. | 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 2018. Wenger is the club's longest-serving manager; he surpassed George Allison's record of 13 years in October 2009. Two Arsenal managers have died in the job – Herbert Chapman and Tom Whittaker. | [
{
"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
]
} | {
"type": null,
"score": null,
"agent": null
} | [
{
"user_id": "ed52b23c-6ed5-4d40-b284-afb5eb96f2ae",
"value": {
"start": [
65,
85,
196,
207,
236,
283,
324,
383,
440,
480,
500
],
"end": [
72,
100,
203,
220,
250,
300,
330,
397,
447,
495,
513
],
"label": [
"ORG",
"PER",
"ORG",
"PER",
"EVE",
"EVE",
"PER",
"PER",
"ORG",
"PER",
"PER"
],
"text": [
"Arsenal",
"Stewart Houston",
"Arsenal",
"Arsène Wenger",
"Premier League",
"Community Shields",
"Wenger",
"George Allison",
"Arsenal",
"Herbert Chapman",
"Tom Whittaker"
]
},
"status": "submitted"
}
] | {
"start": [
65,
85,
196,
207,
236,
283,
324,
383,
440,
480,
500
],
"end": [
72,
100,
203,
220,
250,
300,
330,
397,
447,
495,
513
],
"label": [
"ORG",
"PER",
"ORG",
"PER",
"EVE",
"EVE",
"PER",
"PER",
"ORG",
"PER",
"PER"
],
"text": [
"Arsenal",
"Stewart Houston",
"Arsenal",
"Arsène Wenger",
"Premier League",
"Community Shields",
"Wenger",
"George Allison",
"Arsenal",
"Herbert Chapman",
"Tom Whittaker"
],
"score": [
0.9994949102401733,
0.9997544884681702,
0.9990768432617188,
0.9999644756317139,
0.9812342524528503,
0.9416842460632324,
0.7352854013442993,
0.9999581575393677,
0.9976898431777954,
0.9999657869338989,
0.9999608993530273
]
} | {
"type": null,
"score": null,
"agent": null
} | [
{
"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"
]
},
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | [
{
"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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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., 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. | 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. | [] | {
"start": [
8
],
"end": [
11
],
"label": [
"ORG"
],
"text": [
"SVM"
],
"score": [
0.7157502174377441
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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": [
"AT&T Bell Laboratories",
"Vladimir Vapnik",
"Boser",
"Guyon",
"Cortes",
"Vapnik",
"Vapnik",
"Vapnik",
"Chervonenkis"
],
"score": [
0.992327868938446,
0.9999279975891113,
0.9253807663917542,
0.8726693391799927,
0.9700953960418701,
0.9088765382766724,
0.7029699683189392,
0.7624788284301758,
0.9234334230422974
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 residents as of 2018; the city proper has a population of 13.99 million people. Located at the head of Tokyo Bay, the prefecture forms part of the Kantō region on the central coast of Honshu, Japan's largest island. Tokyo serves as Japan's economic center and is the seat of both the Japanese government and the Emperor 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 residents as of 2018; the city proper has a population of 13.99 million people. Located at the head of Tokyo Bay, the prefecture forms part of the Kantō region on the central coast of Honshu, Japan's largest island. Tokyo serves as Japan's economic center and is the seat of both the Japanese government and the Emperor of Japan. | [] | {
"start": [
31
],
"end": [
36
],
"label": [
"LOC"
],
"text": [
"Japan"
],
"score": [
0.9998899698257446
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
0,
76,
151,
176,
423,
467,
504,
512,
536,
552,
632
],
"end": [
5,
92,
156,
179,
432,
472,
510,
517,
541,
557,
648
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Tokyo",
"Tokyo Metropolis",
"Japan",
"Edo",
"Tokyo Bay",
"Kantō",
"Honshu",
"Japan",
"Tokyo",
"Japan",
"Emperor of Japan"
],
"score": [
0.9992192983627319,
0.9997555613517761,
0.9998886585235596,
0.9999375343322754,
0.9999665021896362,
0.9996628761291504,
0.999934196472168,
0.9969000816345215,
0.9995949864387512,
0.9937074780464172,
0.3919438123703003
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Tokyo is the current capital of Japan. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Player, Cecilio Dominguez. Their home opener was held on June 19, 2021, against the San Jose Earthquakes, a match which ended in a scoreless draw. The team secured its first ever home victory on July 1, 2021, defeating the Portland Timbers 4–1. Jon Gallagher scored the team's first home goal and the first MLS goal at Q2 Stadium. | 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 Player, Cecilio Dominguez. Their home opener was held on June 19, 2021, against the San Jose Earthquakes, a match which ended in a scoreless draw. The team secured its first ever home victory on July 1, 2021, defeating the Portland Timbers 4–1. Jon Gallagher scored the team's first home goal and the first MLS goal at Q2 Stadium. | [] | {
"start": [
20
],
"end": [
29
],
"label": [
"ORG"
],
"text": [
"Austin FC"
],
"score": [
0.9961724877357483
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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",
"ORG",
"PER",
"LOC"
],
"text": [
"Austin FC",
"MLS",
"LAFC",
"Banc of California Stadium",
"Colorado Rapids",
"Diego Fagúndez",
"Cecilio Dominguez",
"San Jose Earthquakes",
"Portland Timbers",
"Jon Gallagher",
"Q2 Stadium"
],
"score": [
0.9978293776512146,
0.7296948432922363,
0.9963800311088562,
0.971209704875946,
0.999969482421875,
0.9999194145202637,
0.9999562501907349,
0.9956281185150146,
0.9999364614486694,
0.9998985528945923,
0.9995200634002686
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Jon Gallagher scored the first goal in Austin FC's first win at home, over the Portland Timbers. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 nigra), brown mustard (B. juncea), or white mustard (Sinapis alba).
Grinding and mixing the seeds with water, vinegar or other liquids creates the yellow condiment known as prepared mustard.
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. | 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 nigra), brown mustard (B. juncea), or white mustard (Sinapis alba).
Grinding and mixing the seeds with water, vinegar or other liquids creates the yellow condiment known as prepared mustard.
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. | [] | {
"start": [
44
],
"end": [
53
],
"label": [
"FOOD"
],
"text": [
"germinate"
],
"score": [
0.7916052341461182
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 synonym.
It is a member of the sage family Lamiaceae, which includes many other medicinal and culinary herbs. The name ""rosemary"" derives from Latin ros marinus (lit. 'dew of the sea'). Rosemary has a fibrous root system | 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 synonym.
It is a member of the sage family Lamiaceae, which includes many other medicinal and culinary herbs. The name ""rosemary"" derives from Latin ros marinus (lit. 'dew of the sea'). Rosemary has a fibrous root system | [] | {
"start": [
43
],
"end": [
51
],
"label": [
"PLANT"
],
"text": [
"Rosemary"
],
"score": [
0.9451554417610168
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
77,
184,
360
],
"end": [
82,
197,
369
],
"label": [
"PLANT",
"LOC",
"PLANT"
],
"text": [
"shrub",
"Mediterranean",
"Lamiaceae"
],
"score": [
0.5645050406455994,
0.995242714881897,
0.9476179480552673
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The name "rosemary" derives from Latin ros marinus. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 on discussions about relatively minor but easy-to-grasp issues, such as what materials to use for the staff bicycle shed, while neglecting the proposed design of the plant itself, which is far more important and a far more difficult and complex task.
The law has been applied to software development and other activities. The terms bicycle-shed effect, bike-shed effect, and bike-shedding were coined based on Parkinson's example; it was popularised in the Berkeley Software Distribution community by the Danish software developer Poul-Henning Kamp in 1999 and, due to that, has since become popular within the field of software development generally.
Argument
A bicycle shed
The concept was first presented as a corollary of his broader "Parkinson's law" spoof of management. He dramatizes this "law of triviality" with the example of a committee's deliberations on an atomic reactor, contrasting it to deliberations on a bicycle shed. As he put it: "The time spent on any item of the agenda will be in inverse proportion to the sum [of money] involved." A reactor is so vastly expensive and complicated that an average person cannot understand it (see ambiguity aversion), so one assumes that those who work on it understand it. However, everyone can visualize a cheap, simple bicycle shed, so planning one can result in endless discussions because everyone involved wants to implement their own proposal and demonstrate personal contribution.
After a suggestion of building something new for the community, like a bike shed, problems arise when everyone involved argues about the details. This is a metaphor indicating that it is not necessary to argue about every little feature based simply on having the knowledge to do so. Some people have commented that the amount of noise generated by a change is inversely proportional to the complexity of the change.
The law of triviality is supported by behavioural research. People tend to spend more time on small decisions than they should, and less time on big decisions than they should. A simple explanation is that during the process of making a decision, one has to assess whether enough information has been collected to make the decision. If people make mistakes about whether they have enough information, they will tend to stop too early for big decisions. The reason is that big decisions require collecting information for a long time. It leaves more time to make a mistake (and stop) before getting enough information. Conversely, for small decisions, where people should stop early, they may continue to ponder for too long by mistake.
Related principles and formulations
There are several other principles, well-known in specific problem domains, which express a similar sentiment.
Wadler's law, named for computer scientist Philip Wadler, is a principle which asserts that the bulk of discussion on programming-language design centers on syntax (which, for purposes of the argument, is considered a solved problem), as opposed to semantics.
Sayre's law is a more general principle, which holds (among other formulations) that "In any dispute, the intensity of feeling is inversely proportional to the value of the issues at stake"; many formulations of the principle focus on academia. | 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 on discussions about relatively minor but easy-to-grasp issues, such as what materials to use for the staff bicycle shed, while neglecting the proposed design of the plant itself, which is far more important and a far more difficult and complex task.
The law has been applied to software development and other activities. The terms bicycle-shed effect, bike-shed effect, and bike-shedding were coined based on Parkinson's example; it was popularised in the Berkeley Software Distribution community by the Danish software developer Poul-Henning Kamp in 1999 and, due to that, has since become popular within the field of software development generally.
Argument
A bicycle shed
The concept was first presented as a corollary of his broader "Parkinson's law" spoof of management. He dramatizes this "law of triviality" with the example of a committee's deliberations on an atomic reactor, contrasting it to deliberations on a bicycle shed. As he put it: "The time spent on any item of the agenda will be in inverse proportion to the sum [of money] involved." A reactor is so vastly expensive and complicated that an average person cannot understand it (see ambiguity aversion), so one assumes that those who work on it understand it. However, everyone can visualize a cheap, simple bicycle shed, so planning one can result in endless discussions because everyone involved wants to implement their own proposal and demonstrate personal contribution.
After a suggestion of building something new for the community, like a bike shed, problems arise when everyone involved argues about the details. This is a metaphor indicating that it is not necessary to argue about every little feature based simply on having the knowledge to do so. Some people have commented that the amount of noise generated by a change is inversely proportional to the complexity of the change.
The law of triviality is supported by behavioural research. People tend to spend more time on small decisions than they should, and less time on big decisions than they should. A simple explanation is that during the process of making a decision, one has to assess whether enough information has been collected to make the decision. If people make mistakes about whether they have enough information, they will tend to stop too early for big decisions. The reason is that big decisions require collecting information for a long time. It leaves more time to make a mistake (and stop) before getting enough information. Conversely, for small decisions, where people should stop early, they may continue to ponder for too long by mistake.
Related principles and formulations
There are several other principles, well-known in specific problem domains, which express a similar sentiment.
Wadler's law, named for computer scientist Philip Wadler, is a principle which asserts that the bulk of discussion on programming-language design centers on syntax (which, for purposes of the argument, is considered a solved problem), as opposed to semantics.
Sayre's law is a more general principle, which holds (among other formulations) that "In any dispute, the intensity of feeling is inversely proportional to the value of the issues at stake"; many formulations of the principle focus on academia. | [] | {
"start": [
23
],
"end": [
36
],
"label": [
"DIS"
],
"text": [
"Bike-shedding"
],
"score": [
0.6410682201385498
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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,
0.9998657703399658
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | The phrase "bike-shedding" was introduced in 1957 by C. Northcote Parkinson. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 buffalo demon, at the time she victoriously kills the demonic force. Her icon shows her in action, yet her face is calm and serene. In Hindu arts, this tranquil attribute of Durga's face is traditionally derived from the belief that she is protective and violent not because of her hatred, egotism or getting pleasure in violence, but because she acts out of necessity, for the love of the good, for liberation of those who depend on her, and a mark of the beginning of soul's journey to creative freedom.
Durga traditionally holds the weapons of various male gods of Hindu mythology, which they give her to fight the evil forces because they feel that she is shakti (energy, power). These include the chakra, conch, bow, arrow, sword, javelin, trishula, shield, and a noose. These weapons are considered symbolic by Shakta Hindus, representing self-discipline, selfless service to others, self-examination, prayer, devotion, remembering her mantras, cheerfulness and meditation. Durga herself is viewed as the "Self" within and the divine mother of all creation. She has been revered by warriors, blessing their new weapons. Durga iconography has been flexible in the Hindu traditions, where for example some intellectuals place a pen or other writing implements in her hand since they consider their stylus as their weapon. | 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 buffalo demon, at the time she victoriously kills the demonic force. Her icon shows her in action, yet her face is calm and serene. In Hindu arts, this tranquil attribute of Durga's face is traditionally derived from the belief that she is protective and violent not because of her hatred, egotism or getting pleasure in violence, but because she acts out of necessity, for the love of the good, for liberation of those who depend on her, and a mark of the beginning of soul's journey to creative freedom.
Durga traditionally holds the weapons of various male gods of Hindu mythology, which they give her to fight the evil forces because they feel that she is shakti (energy, power). These include the chakra, conch, bow, arrow, sword, javelin, trishula, shield, and a noose. These weapons are considered symbolic by Shakta Hindus, representing self-discipline, selfless service to others, self-examination, prayer, devotion, remembering her mantras, cheerfulness and meditation. Durga herself is viewed as the "Self" within and the divine mother of all creation. She has been revered by warriors, blessing their new weapons. Durga iconography has been flexible in the Hindu traditions, where for example some intellectuals place a pen or other writing implements in her hand since they consider their stylus as their weapon. | [] | {
"start": [
28
],
"end": [
33
],
"label": [
"MYTH"
],
"text": [
"Durga"
],
"score": [
0.9964621663093567
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
304
],
"end": [
315
],
"label": [
"MYTH"
],
"text": [
"Mahishasura"
],
"score": [
0.986270546913147
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Chakra, conch, bow, arrow, sword, javelin, trishula, shield, a noose | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 well as her breakout roles in The Adventures of Baron Munchausen and the TV series Road to Avonlea. The book also revealed for the first time that Polley had been a victim of Jian Ghomeshi who sexually and physically assaulted her when she was 16 and he was 28. | 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 well as her breakout roles in The Adventures of Baron Munchausen and the TV series Road to Avonlea. The book also revealed for the first time that Polley had been a victim of Jian Ghomeshi who sexually and physically assaulted her when she was 16 and he was 28. | [] | {
"start": [
29
],
"end": [
51
],
"label": [
"MEDIA"
],
"text": [
"Run Towards the Danger"
],
"score": [
0.9688928127288818
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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"
],
"text": [
"Run Towards the Danger",
"Sarah Polley",
"Polley",
"Stratford Festival",
"Alice Through the Looking Glass",
"The Adventures of Baron Munchausen",
"Road to Avonlea",
"Polley",
"Jian Ghomeshi"
],
"score": [
0.8587453961372375,
0.9999159574508667,
0.833722710609436,
0.8370278477668762,
0.9768280982971191,
0.992085874080658,
0.9976400136947632,
0.7041537761688232,
0.9988182187080383
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Six essays are part of the Run Towards the Danger essay collection. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 sprint-like design wherein computer programmers and others involved in software development, including graphic designers, interface designers, product managers, project managers, domain experts, and others collaborate intensively on engineering projects, such as software engineering.
The goal of a hackathon is to create functioning software or hardware by the end of the event. Hackathons tend to have a specific focus, which can include the programming language used, the operating system, an application, an API, or the subject and the demographic group of the programmers. In other cases, there is no restriction on the type of software being created or the design of the new system. | 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 sprint-like design wherein computer programmers and others involved in software development, including graphic designers, interface designers, product managers, project managers, domain experts, and others collaborate intensively on engineering projects, such as software engineering.
The goal of a hackathon is to create functioning software or hardware by the end of the event. Hackathons tend to have a specific focus, which can include the programming language used, the operating system, an application, an API, or the subject and the demographic group of the programmers. In other cases, there is no restriction on the type of software being created or the design of the new system. | [] | {
"start": [
29
],
"end": [
39
],
"label": [
"DIS"
],
"text": [
"hackathons"
],
"score": [
0.5115081667900085
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 creating functioning software or hardware by the end of the event. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 efficient and makes new processes possible. Marketing Automation can be defined as a process where technology is used to automate several repetitive tasks that are undertaken on a regular basis in a marketing campaign.
Marketing Automation platforms allow marketers to automate and simplify client communication by managing complex omnichannel marketing strategies from a single tool. Marketing Automation assists greatly in areas like Lead Generation, Segmentation, Lead nurturing and lead scoring, Relationship marketing, Cross-sell and upsell, Retention, Marketing ROI measurement. Effective marketing automation tools leverage data from a separate or integrated CRM to understand customer impact and preferences. | 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 efficient and makes new processes possible. Marketing Automation can be defined as a process where technology is used to automate several repetitive tasks that are undertaken on a regular basis in a marketing campaign.
Marketing Automation platforms allow marketers to automate and simplify client communication by managing complex omnichannel marketing strategies from a single tool. Marketing Automation assists greatly in areas like Lead Generation, Segmentation, Lead nurturing and lead scoring, Relationship marketing, Cross-sell and upsell, Retention, Marketing ROI measurement. Effective marketing automation tools leverage data from a separate or integrated CRM to understand customer impact and preferences. | [] | {
"start": [],
"end": [],
"label": [],
"text": [],
"score": []
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
754
],
"end": [
769
],
"label": [
"TIME"
],
"text": [
"Lead Generation"
],
"score": [
0.9334587454795837
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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 managing multi communication channels. This includes personalized email, dynamic web pages, digital banners, social media and more. People use it for lead generation, segmentation and nurturing and lead scoring. Post-sales marketers also use Marketing Automation for cross-sell, upsell and retention marketing. In | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 not English. Also during his childhood, Van Buren learned at his father's inn how to interact with people from varied ethnic, income, and societal groups, which he used to his advantage as a political organizer. His formal education ended in 1796, when he began reading law at the office of Peter Silvester and his son Francis. | 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 not English. Also during his childhood, Van Buren learned at his father's inn how to interact with people from varied ethnic, income, and societal groups, which he used to his advantage as a political organizer. His formal education ended in 1796, when he began reading law at the office of Peter Silvester and his son Francis. | [] | {
"start": [
31
],
"end": [
36
],
"label": [
"MEDIA"
],
"text": [
"Dutch"
],
"score": [
0.9879013299942017
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"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",
"Claverack",
"Dutch",
"United States",
"Peter Silvester",
"Francis"
],
"score": [
0.9979094862937927,
0.9899213314056396,
0.9998179078102112,
0.8741434812545776,
0.998672604560852,
0.9998119473457336,
0.999543309211731
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | 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. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 in March 2019.
According to Jon Krampner's 2013 book on peanut butter, per capita consumption of peanut butter in Canada and the Netherlands – the largest consumer per capita in Europe – exceed that in the United States.
In Israel, the peanut-butter-flavored puffcorn snack Bamba accounts for 25% of the snack market; its consumption by infants has been linked to a low incidence of peanut allergies among Israelis. | 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 in March 2019.
According to Jon Krampner's 2013 book on peanut butter, per capita consumption of peanut butter in Canada and the Netherlands – the largest consumer per capita in Europe – exceed that in the United States.
In Israel, the peanut-butter-flavored puffcorn snack Bamba accounts for 25% of the snack market; its consumption by infants has been linked to a low incidence of peanut allergies among Israelis. | [] | {
"start": [
51
],
"end": [
64
],
"label": [
"FOOD"
],
"text": [
"peanut butter"
],
"score": [
0.7034891843795776
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
4,
143,
177,
273,
348,
434,
449,
498,
526,
545,
595,
727
],
"end": [
17,
169,
190,
286,
360,
440,
460,
504,
539,
551,
600,
735
],
"label": [
"LOC",
"TIME",
"LOC",
"LOC",
"PER",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"FOOD",
"LOC"
],
"text": [
"United States",
"National Peanut Butter Day",
"United States",
"United States",
"Jon Krampner",
"Canada",
"Netherlands",
"Europe",
"United States",
"Israel",
"Bamba",
"Israelis"
],
"score": [
0.9992152452468872,
0.9390339255332947,
0.9985887408256531,
0.9964315891265869,
0.9998592138290405,
0.9997523427009583,
0.9995145797729492,
0.9987070560455322,
0.9994327425956726,
0.9997102618217468,
0.9523841142654419,
0.9712485671043396
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | National Peanut Butter Day takes place on January 24th in the United States. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 state begin after absorption of a meal (typically 3–5 hours after eating). | 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 state begin after absorption of a meal (typically 3–5 hours after eating). | [] | {
"start": [
10
],
"end": [
17
],
"label": [
"FOOD"
],
"text": [
"fasting"
],
"score": [
0.801950216293335
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | {
"start": [
189
],
"end": [
198
],
"label": [
"FOOD"
],
"text": [
"Breakfast"
],
"score": [
0.9114487767219543
]
} | {
"type": null,
"score": null,
"agent": null
} | [] | null | {
"type": null,
"score": null,
"agent": null
} | [] | Fasting is the abstention from eating and sometimes drinking. | {
"type": null,
"score": null,
"agent": null
} | null | {} |
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 Tennessee and the greater Mid-South region, which includes portions of neighboring Arkansas, Mississippi and the Missouri Bootheel. One of the more historic and culturally significant cities of the Southern United States, Memphis has a wide variety of landscapes and distinct neighborhoods. | 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 Tennessee and the greater Mid-South region, which includes portions of neighboring Arkansas, Mississippi and the Missouri Bootheel. One of the more historic and culturally significant cities of the Southern United States, Memphis has a wide variety of landscapes and distinct neighborhoods. | [] | {
"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",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Memphis",
"Southeast",
"Mississippi River",
"Saint Louis",
"MO",
"Twin Cities",
"Mississippi River",
"Memphis",
"West Tennessee",
"Mid-South",
"Arkansas",
"Mississippi",
"Missouri Bootheel",
"Southern United States",
"Memphis"
],
"score": [
0.9987707734107971,
0.9974403381347656,
0.999969482421875,
0.9999556541442871,
0.9989400506019592,
0.9997552037239075,
0.9998637437820435,
0.9781146049499512,
0.9998133778572083,
0.8293185830116272,
0.9998165965080261,
0.9999532699584961,
0.9985930323600769,
0.9997796416282654,
0.9979879856109619
]
} | {
"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 North America. As of 2007, there were over seven million llamas and alpacas in South America and over 158,000 llamas and 100,000 alpacas, descended from progenitors imported late in the 20th century, in the United States and Canada.
In Aymara mythology, llamas are important beings. The Heavenly Llama is said to drink water from the ocean and urinates as it rains. According to Aymara eschatology, llamas will return to the water springs and lagoons where they come from at the end of time. | 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 North America. As of 2007, there were over seven million llamas and alpacas in South America and over 158,000 llamas and 100,000 alpacas, descended from progenitors imported late in the 20th century, in the United States and Canada.
In Aymara mythology, llamas are important beings. The Heavenly Llama is said to drink water from the ocean and urinates as it rains. According to Aymara eschatology, llamas will return to the water springs and lagoons where they come from at the end of time. | [] | {
"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",
"PER"
],
"text": [
"Great Plains",
"North America",
"South America",
"Great American Interchange",
"North America",
"South America",
"United States",
"Canada",
"Heavenly Llama",
"Aymara"
],
"score": [
0.9085551500320435,
0.7576626539230347,
0.9998986721038818,
0.695679783821106,
0.9999376535415649,
0.9999352693557739,
0.9998817443847656,
0.9996579885482788,
0.5114461183547974,
0.5373187065124512
]
} | {
"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 camelids were extinct in North America
2007: As of this year, there were over seven million llamas and alpacas in South America and over 158,000 llamas and 100,000 alpacas, descended from progenitors imported late in the 20th century, in the United States and Canada
seven million: The number of llamas and alpacas in South America as of 2007
158,000: The number of llamas in the United States and Canada, that descended from progenitors imported late in the 20th century, as of 2007
100,000: The number of alpacas in the United States and Canada, that descended from progenitors imported late in the 20th century, as of 2007
20: The century where progenitors were imported to United States and Canada | {
"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 Hyde. It is situated on low ground on either side of Huckles Brook on the South Gorley to Ogdens road. The houses are surrounded by fields and paddocks. Additional houses can be found at the southern edge of Gorley Common lining a narrow track to North Gorley.
Furze Hill is the most recent settlement in the parish of Hyde, becoming an established community only in the 20th 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 Hyde. It is situated on low ground on either side of Huckles Brook on the South Gorley to Ogdens road. The houses are surrounded by fields and paddocks. Additional houses can be found at the southern edge of Gorley Common lining a narrow track to North Gorley.
Furze Hill is the most recent settlement in the parish of Hyde, becoming an established community only in the 20th century. | [] | {
"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,
642
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC",
"LOC"
],
"text": [
"Furze Hill",
"New Forest National Park",
"Hampshire",
"England",
"Ellingham",
"Harbridge",
"Ibsley",
"Fordingbridge",
"Furze Hill",
"Hyde",
"Huckles Brook",
"South Gorley",
"Ogdens",
"Gorley Common",
"North Gorley",
"Furze Hill",
"Hyde"
],
"score": [
0.9997984766960144,
0.9994924068450928,
0.9992935657501221,
0.9998171925544739,
0.9999141693115234,
0.9999293088912964,
0.999637246131897,
0.9999575614929199,
0.9994524121284485,
0.9997155070304871,
0.9998780488967896,
0.996350884437561,
0.98929762840271,
0.9998569488525391,
0.9999490976333618,
0.999178946018219,
0.9996604919433594
]
} | {
"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-cycle softener) results in laundry that feels softer. | 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-cycle softener) results in laundry that feels softer. | [] | {
"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 complex interactions between the biochemical development of the grape, the reactions involved in fermentation, the grape's growing environment (terroir), and the wine production process. Many countries enact legal appellations intended to define styles and qualities of wine. These typically restrict the geographical origin and permitted varieties of grapes, as well as other aspects of wine production. Wines can be made by fermentation of other fruit crops such as plum, cherry, pomegranate, blueberry, currant and elderberry. | 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 complex interactions between the biochemical development of the grape, the reactions involved in fermentation, the grape's growing environment (terroir), and the wine production process. Many countries enact legal appellations intended to define styles and qualities of wine. These typically restrict the geographical origin and permitted varieties of grapes, as well as other aspects of wine production. Wines can be made by fermentation of other fruit crops such as plum, cherry, pomegranate, blueberry, currant and elderberry. | [] | {
"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",
"pomegranate",
"blueberry",
"currant",
"elderberry"
],
"score": [
0.6200181841850281,
0.834614098072052,
0.8546895384788513,
0.7199292182922363,
0.8500893115997314,
0.8570595979690552,
0.8774679899215698
]
} | {
"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 before the early Muslim conquests of the 7th–8th centuries AD. Named after the House of Sasan, it endured for over four centuries, from 224 to 651 AD, making it the longest-lived Persian imperial dynasty.[ | 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 before the early Muslim conquests of the 7th–8th centuries AD. Named after the House of Sasan, it endured for over four centuries, from 224 to 651 AD, making it the longest-lived Persian imperial dynasty.[ | [] | {
"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",
"LOC"
],
"text": [
"Kushan Empire",
"Yuezhi",
"Bactrian",
"Uzbekistan",
"Afghanistan",
"Pakistan",
"Northern India",
"Sassanid Empire",
"Eranshahr",
"House of Sasan"
],
"score": [
0.9866618514060974,
0.8772920966148376,
0.7725268602371216,
0.9999356269836426,
0.9999572038650513,
0.9999442100524902,
0.9999033212661743,
0.6966074705123901,
0.7909370064735413,
0.7971861362457275
]
} | {
"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 captured the provinces of Sogdiana, Bactria and Gandhara from the Kushans in 225 CE. The Sasanians established governors for the Sasanian Empire, who minted their own coinage and took the title of Kushanshas, i.e. "Kings of the Kushans". They are sometimes considered as forming a "sub-kingdom" inside the Sassanid Empire. | {
"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 finally, Bhai Tika (Bhai dhooj)—respectively the first, second, third, fourth and fifth days. | 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 finally, Bhai Tika (Bhai dhooj)—respectively the first, second, third, fourth and fifth days. | [] | {
"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",
"TIME",
"TIME"
],
"text": [
"Tihar",
"Nepal",
"Dashain",
"Nepal",
"Kag (crow) Tihar",
"Gai (cow) Tihar",
"Lakshmi Puja",
"Maha puja",
"Goru (Ox and Bull) Tihar",
"Bhai Tika"
],
"score": [
0.9890025854110718,
0.9994626641273499,
0.9787611961364746,
0.9998461008071899,
0.746330738067627,
0.4563271999359131,
0.9574335813522339,
0.6639821529388428,
0.6036919951438904,
0.9736284017562866
]
} | {
"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 Municipal Council and the Legislative Council of Hong Kong.
He was a keen rider and bore the reputation of being the best rider East of the Suez. He succeeded in winning the Jockey Cup on a pony named Ben-y-Gloe belonging to C. H. Ross, the former tai-pan of Jardines when he first went to Hong Kong in 1903. In 1904, he won the Professional Cup on a pony named Runaway Girl, purchased from W. A. Cruickshank. From 1903 to 1919, he rode in 1,178 races, winning 334, securing 192 seconds and 186 thirds, being unplaced 466 times, excluding the record of minor events such as Off Days or Gymkhanas. He won 14 Grand Nationals in China, and at one meeting in Hong Kong rode in 30 races winning 16 of them. He was also the President of the St. Andrew's Society.
He left Hong Kong on 31 March 1921 for home by the Empress of Asia.
In 1928 he won The Foxhunters Cup at Cheltenham riding Rathpatrick and officiated as steward at several of the northern meetings. He died at the Cheltenham meeting in 1935 where he was officiating. | 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 Municipal Council and the Legislative Council of Hong Kong.
He was a keen rider and bore the reputation of being the best rider East of the Suez. He succeeded in winning the Jockey Cup on a pony named Ben-y-Gloe belonging to C. H. Ross, the former tai-pan of Jardines when he first went to Hong Kong in 1903. In 1904, he won the Professional Cup on a pony named Runaway Girl, purchased from W. A. Cruickshank. From 1903 to 1919, he rode in 1,178 races, winning 334, securing 192 seconds and 186 thirds, being unplaced 466 times, excluding the record of minor events such as Off Days or Gymkhanas. He won 14 Grand Nationals in China, and at one meeting in Hong Kong rode in 30 races winning 16 of them. He was also the President of the St. Andrew's Society.
He left Hong Kong on 31 March 1921 for home by the Empress of Asia.
In 1928 he won The Foxhunters Cup at Cheltenham riding Rathpatrick and officiated as steward at several of the northern meetings. He died at the Cheltenham meeting in 1935 where he was officiating. | [] | {
"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,
615,
661,
690,
724,
898,
911,
947,
980
],
"label": [
"PER",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"LOC",
"EVE",
"LOC",
"PER",
"LOC",
"LOC",
"EVE",
"LOC",
"PER",
"EVE",
"LOC",
"LOC",
"LOC"
],
"text": [
"John Johnstone",
"Jardine, Matheson & Co.",
"Shanghai Municipal Council",
"Legislative Council of Hong Kong",
"Jardine, Matheson & Co.",
"Shanghai Municipal Council",
"Legislative Council of Hong Kong",
"East of the Suez",
"Jockey Cup",
"Ben-y-Gloe",
"C. H. Ross",
"Jardines",
"Hong Kong",
"Professional Cup",
"Runaway Girl",
"W. A. Cruickshank",
"Off Days",
"Gymkhanas",
"China",
"Hong Kong"
],
"score": [
0.9980477094650269,
0.9765627980232239,
0.9349761605262756,
0.5126052498817444,
0.9893977642059326,
0.9946749210357666,
0.9972307085990906,
0.9744263291358948,
0.972745418548584,
0.62021803855896,
0.9993625283241272,
0.9621427655220032,
0.9995543360710144,
0.9377466440200806,
0.2697770297527313,
0.997565507888794,
0.5177947878837585,
0.7225556373596191,
0.8437955975532532,
0.9980592131614685
]
} | {
"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 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.
The time of sunset is defined in astronomy as the moment when the upper limb of the Sun disappears below the horizon. Near the horizon, atmospheric refraction causes sunlight rays to be distorted to such an extent that geometrically the solar disk is already about one diameter below the horizon when a sunset is observed.
Sunset is distinct from twilight, which is divided into three stages. The first one is civil twilight, which begins once the Sun has disappeared below the horizon, and continues until it descends to 6 degrees below the horizon. The second phase is nautical twilight, between 6 and 12 degrees below the horizon. The third phase is astronomical twilight, which is the period when the Sun is between 12 and 18 degrees below the horizon. Dusk is at the very end of astronomical twilight, and is the darkest moment of twilight just before night. Finally, night occurs when the Sun reaches 18 degrees below the horizon and no longer illuminates the sky.
Locations further north than the Arctic Circle and further south than the Antarctic Circle experience no full sunset or sunrise on at least one day of the year, when the polar day or the polar night persists continuously for 24 hours. | 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 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.
The time of sunset is defined in astronomy as the moment when the upper limb of the Sun disappears below the horizon. Near the horizon, atmospheric refraction causes sunlight rays to be distorted to such an extent that geometrically the solar disk is already about one diameter below the horizon when a sunset is observed.
Sunset is distinct from twilight, which is divided into three stages. The first one is civil twilight, which begins once the Sun has disappeared below the horizon, and continues until it descends to 6 degrees below the horizon. The second phase is nautical twilight, between 6 and 12 degrees below the horizon. The third phase is astronomical twilight, which is the period when the Sun is between 12 and 18 degrees below the horizon. Dusk is at the very end of astronomical twilight, and is the darkest moment of twilight just before night. Finally, night occurs when the Sun reaches 18 degrees below the horizon and no longer illuminates the sky.
Locations further north than the Arctic Circle and further south than the Antarctic Circle experience no full sunset or sunrise on at least one day of the year, when the polar day or the polar night persists continuously for 24 hours. | [] | {
"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": [
0.803626298904419,
0.8394100069999695,
0.8692229390144348,
0.9797097444534302,
0.9889783263206482
]
} | {
"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 nation after their marriage. His eight siblings were Joseph Jr., John, Rosemary, Kathleen, Eunice, Patricia, Robert, and Jean. His older brother John asked to be the newborn's godfather, a request his parents honored, though they did not agree to his request to name the baby George Washington Kennedy (Ted was born on President George Washington's 200th birthday). They named the boy after their father's assistant. | 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 nation after their marriage. His eight siblings were Joseph Jr., John, Rosemary, Kathleen, Eunice, Patricia, Robert, and Jean. His older brother John asked to be the newborn's godfather, a request his parents honored, though they did not agree to his request to name the baby George Washington Kennedy (Ted was born on President George Washington's 200th birthday). They named the boy after their father's assistant. | [] | {
"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,
432,
442,
466,
618,
663
],
"label": [
"LOC",
"LOC",
"LOC",
"LOC",
"PER",
"PER",
"MEDIA",
"LOC",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER",
"PER"
],
"text": [
"St. Margaret's Hospital",
"Dorchester",
"Boston",
"Massachusetts",
"Joseph Patrick Kennedy",
"Rose Fitzgerald",
"Irish American",
"Boston",
"Joseph Jr.",
"John",
"Rosemary",
"Kathleen",
"Eunice",
"Patricia",
"Robert",
"Jean",
"John",
"George Washington Kennedy",
"George Washington"
],
"score": [
0.9641215801239014,
0.9997969269752502,
0.9999480247497559,
0.9999487400054932,
0.9997875094413757,
0.9995162487030029,
0.530405580997467,
0.9999229907989502,
0.9996734857559204,
0.9991274476051331,
0.9995430707931519,
0.9995476603507996,
0.9993599057197571,
0.9996178150177002,
0.9995406866073608,
0.9993395209312439,
0.99769526720047,
0.9992358684539795,
0.9999105930328369
]
} | {
"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 elements of design as line, direction, shape, size, texture, value, and color, concluding that "these elements are the materials from which all designs are built." | 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 elements of design as line, direction, shape, size, texture, value, and color, concluding that "these elements are the materials from which all designs are built." | [] | {
"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 (2016). A two-time Cy Young Award winner, Lincecum helped the Giants win three World Series championships from 2010 through 2014. | 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 (2016). A two-time Cy Young Award winner, Lincecum helped the Giants win three World Series championships from 2010 through 2014. | [] | {
"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 Lincecum",
"Major League Baseball",
"MLB",
"San Francisco Giants",
"Los Angeles Angels",
"Cy Young Award",
"Giants",
"World Series"
],
"score": [
0.9971080422401428,
0.999811589717865,
0.9991034865379333,
0.9999741315841675,
0.9999834299087524,
0.6065484881401062,
0.9839649200439453,
0.9678218960762024
]
} | {
"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 as the most valuable player of the MLB postseason. Lincecum won consecutive Cy Young Awards in 2008 and 2009, becoming the first MLB pitcher to win the award in his first two full seasons. He also appeared in four consecutive All-Star Games from 2008 through 2011 and pitched no-hitters in 2013 and 2014. | {
"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. He did graduate work in Federal Income Taxation at New York University. Goldberg was admitted to practice in Maryland and New Jersey, 1964 and 1967, and Federal District Court. He began his career as a Tax Attorney in January 1965 with the United States Department of Treasury, Office of Chief Counsel, Internal Revenue Service, in New York City and was initially assigned to the General Litigation function. In 1967, he was reassigned to the Tax Litigation function. In 1976, he was promoted to Special Trial Attorney, and then to Assistant District Counsel in 1984. He was appointed a Special Trial Judge of the United States Tax Court on August 4, 1985.
In 1992, Goldberg commented on the trend of tax protester arguments being brought before the Tax Court and dismissed with penalties. | 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. He did graduate work in Federal Income Taxation at New York University. Goldberg was admitted to practice in Maryland and New Jersey, 1964 and 1967, and Federal District Court. He began his career as a Tax Attorney in January 1965 with the United States Department of Treasury, Office of Chief Counsel, Internal Revenue Service, in New York City and was initially assigned to the General Litigation function. In 1967, he was reassigned to the Tax Litigation function. In 1976, he was promoted to Special Trial Attorney, and then to Assistant District Counsel in 1984. He was appointed a Special Trial Judge of the United States Tax Court on August 4, 1985.
In 1992, Goldberg commented on the trend of tax protester arguments being brought before the Tax Court and dismissed with penalties. | [] | {
"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
],
"label": [
"PER",
"LOC",
"ORG",
"LOC",
"LOC",
"ORG",
"ORG",
"ORG",
"ORG",
"ORG",
"LOC",
"LOC",
"ORG",
"ORG",
"ORG",
"LOC"
],
"text": [
"Stanley J. Goldberg",
"Maryland",
"United States Tax Court",
"Baltimore",
"MD",
"University of Maryland",
"School of Business and Public Administration",
"University of Maryland School of Law",
"Federal Income Taxation",
"New York University",
"Maryland",
"New Jersey",
"Federal District Court",
"United States Department of Treasury",
"Internal Revenue Service",
"New York City"
],
"score": [
0.9992075562477112,
0.9997773766517639,
0.9885622262954712,
0.9998723268508911,
0.9986788630485535,
0.9760741591453552,
0.8264381289482117,
0.9971396923065186,
0.7637792825698853,
0.9993197917938232,
0.998296320438385,
0.9934977293014526,
0.8739592432975769,
0.9928731918334961,
0.5103388428688049,
0.9996752738952637
]
} | {
"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. He did graduate work in Federal Income Taxation at New York University. Goldberg was admitted to practice in Maryland and New Jersey, 1964 and 1967, and Federal District Court.
He began his career as a Tax Attorney in January 1965 with the United States Department of Treasury, Office of Chief Counsel, Internal Revenue Service, in New York City and was initially assigned to the General Litigation function. In 1967, he was reassigned to the Tax Litigation function. In 1976, he was promoted to Special Trial Attorney, and then to Assistant District Counsel in 1984. He was appointed a Special Trial Judge of the United States Tax Court on August 4, 1985.
In 1992, Goldberg commented on the trend of tax protester arguments being brought before the Tax Court and dismissed with penalties. | {
"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 system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name "GNU/Linux" to emphasize the importance of GNU software, causing some controversy. | 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 system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name "GNU/Linux" to emphasize the importance of GNU software, causing some controversy. | [] | {
"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 of Unix caused it to be widely adopted, copied and modified by academic institutions and businesses.
In 1977, the Berkeley Software Distribution (BSD) was developed by the Computer Systems Research Group (CSRG) from UC Berkeley, based on the 6th edition of Unix from AT&T. Since BSD contained Unix code that AT&T owned, AT&T filed a lawsuit (USL v. BSDi) in the early 1990s against the University of California. This strongly limited the development and adoption of BSD.
Onyx Systems began selling early microcomputer-based Unix workstations in 1980. Later, Sun Microsystems, founded as a spin-off of a student project at Stanford University, also began selling Unix-based desktop workstations in 1982. While Sun workstations didn't utilize commodity PC hardware like Linux was later developed for, it represented the first successful commercial attempt at distributing a primarily single-user microcomputer that ran a Unix operating system.
In 1983, Richard Stallman started the GNU project with the goal of creating a free UNIX-like operating system. As part of this work, he wrote the GNU General Public License (GPL). By the early 1990s, there was almost enough available software to create a full operating system. However, the GNU kernel, called Hurd, failed to attract enough development effort, leaving GNU incomplete.[citation needed]
In 1985, Intel released the 80386, the first x86 microprocessor with a 32-bit instruction set and a memory management unit with paging.
In 1986, Maurice J. Bach, of AT&T Bell Labs, published The Design of the UNIX Operating System. This definitive description principally covered the System V Release 2 kernel, with some new features from Release 3 and BSD.
In 1987, MINIX, a Unix-like system intended for academic use, was released by Andrew S. Tanenbaum to exemplify the principles conveyed in his textbook, Operating Systems: Design and Implementation. While source code for the system was available, modification and redistribution were restricted. In addition, MINIX's 16-bit design was not well adapted to the 32-bit features of the increasingly cheap and popular Intel 386 architecture for personal computers. In the early nineties a commercial UNIX operating system for Intel 386 PCs was too expensive for private users.
These factors and the lack of a widely adopted, free kernel provided the impetus for Torvalds' starting his project. He has stated that if either the GNU Hurd or 386BSD kernels had been available at the time, he likely would not have written his own. | {
"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 film Housewife and the Shah Shocker, which premiered on Hulu in November that same year. In July 2022, Shah pleaded guilty to conspiracy to commit wire fraud. In January 2023, Shah was sentenced to six-and-a-half years in prison. Shah began her prison sentence the following month. | 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 film Housewife and the Shah Shocker, which premiered on Hulu in November that same year. In July 2022, Shah pleaded guilty to conspiracy to commit wire fraud. In January 2023, Shah was sentenced to six-and-a-half years in prison. Shah began her prison sentence the following month. | [] | {
"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,
0.9059138298034668
]
} | {
"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 years in prison and her sentence began in February. | {
"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 administrative support is required to complete tasks more quickly.
- Large datasets - where these are too large for employees to work efficiently and multiple datasets could be combined to provide greater insights.
- Experts shortage - including where basic questions could be answered and niche issues can be learned.
- Predictable scenario - historical data makes the situation predictable.
- Procedural - repetitive tasks where inputs or outputs have a binary answer.
- Diverse data - where data takes a variety of forms (such as visual and linguistic) and needs to be summarised regularly. | 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 administrative support is required to complete tasks more quickly.
- Large datasets - where these are too large for employees to work efficiently and multiple datasets could be combined to provide greater insights.
- Experts shortage - including where basic questions could be answered and niche issues can be learned.
- Predictable scenario - historical data makes the situation predictable.
- Procedural - repetitive tasks where inputs or outputs have a binary answer.
- Diverse data - where data takes a variety of forms (such as visual and linguistic) and needs to be summarised regularly. | [] | {
"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 and succeeded in abolishing slavery, bolstering the federal government, and modernizing the U.S. economy.
Lincoln was born into poverty in a log cabin in Kentucky and was raised on the frontier, primarily in Indiana. He was self-educated and became a lawyer, Whig Party leader, Illinois state legislator, and U.S. Congressman from Illinois. In 1849, he returned to his successful law practice in central Illinois. In 1854, he was angered by the Kansas–Nebraska Act, which opened the territories to slavery, and he re-entered politics. He soon became a leader of the new Republican Party. He reached a national audience in the 1858 Senate campaign debates against Stephen A. Douglas. Lincoln ran for president in 1860, sweeping the North to gain victory. Pro-slavery elements in the South viewed his election as a threat to slavery, and Southern states began seceding from the nation. During this time, the newly formed Confederate States of America began seizing federal military bases in the south. Just over one month after Lincoln assumed the presidency, the Confederate States attacked Fort Sumter, a U.S. fort in South Carolina. Following the bombardment, Lincoln mobilized forces to suppress the rebellion and restore the union. | 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 and succeeded in abolishing slavery, bolstering the federal government, and modernizing the U.S. economy.
Lincoln was born into poverty in a log cabin in Kentucky and was raised on the frontier, primarily in Indiana. He was self-educated and became a lawyer, Whig Party leader, Illinois state legislator, and U.S. Congressman from Illinois. In 1849, he returned to his successful law practice in central Illinois. In 1854, he was angered by the Kansas–Nebraska Act, which opened the territories to slavery, and he re-entered politics. He soon became a leader of the new Republican Party. He reached a national audience in the 1858 Senate campaign debates against Stephen A. Douglas. Lincoln ran for president in 1860, sweeping the North to gain victory. Pro-slavery elements in the South viewed his election as a threat to slavery, and Southern states began seceding from the nation. During this time, the newly formed Confederate States of America began seizing federal military bases in the south. Just over one month after Lincoln assumed the presidency, the Confederate States attacked Fort Sumter, a U.S. fort in South Carolina. Following the bombardment, Lincoln mobilized forces to suppress the rebellion and restore the union. | [] | {
"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,
1055,
1106
],
"label": [
"PER",
"LOC",
"PER",
"LOC",
"EVE",
"LOC",
"LOC",
"LOC",
"ORG",
"LOC",
"LOC",
"LOC",
"MEDIA",
"ORG",
"PER",
"LOC",
"LOC"
],
"text": [
"Abraham Lincoln",
"United States",
"Lincoln",
"Union",
"American Civil War",
"U.S.",
"Kentucky",
"Indiana",
"Whig Party",
"Illinois",
"Illinois",
"Illinois",
"Kansas–Nebraska Act",
"Republican Party",
"Stephen A. Douglas",
"North",
"South"
],
"score": [
0.9998387098312378,
0.9978384375572205,
0.9709591269493103,
0.9391941428184509,
0.9997482895851135,
0.8384263515472412,
0.9999159574508667,
0.999891996383667,
0.9974672794342041,
0.9977971315383911,
0.9994714856147766,
0.9986880421638489,
0.9777693748474121,
0.9986899495124817,
0.9990988969802856,
0.888090193271637,
0.9543701410293579
]
} | {
"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 Dataset Viewer.
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 theFeedbackDataset.from_huggingfacemethod in Argilla.Dataset records in a format compatible with HuggingFace
datasets. These records will be loaded automatically when usingFeedbackDataset.from_huggingfaceand can be loaded independently using thedatasetslibrary viaload_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.
- prompt is of type
Questions: These are the questions that will be asked to the annotators. They can be of different types, such as
RatingQuestion,TextQuestion,LabelQuestion,MultiLabelQuestion, andRankingQuestion.- 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.".
- prompt-ents is of type
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.
- (optional) prompt-ents-suggestion is of type
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_propertiesdefined in the dataset configuration file inargilla.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]
- Downloads last month
- 52