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Since 1993 , the proportion of lbws in each English season has risen steadily . According to cricket historian Douglas Miller , the percentage of lbw dismissals increased after broadcasters incorporated ball @-@ tracking technology such as Hawk @-@ Eye into their television coverage of matches . Miller writes : " With... | [
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"Updated_Passage": "<|start-PI|>Since 1993, the proportion of lbws in each English season has<|end-PI|> <|retrieval|> <|start-KFI|>risen steadily<|end-KFI|>. <|start-PI|>According to cricket historian Douglas Miller, the percentage of lbw dismissals increased after<|end-PI|> <|retrieval|> <|start-KFI|>broadcasters ... |
The International Cricket Council ( ICC ) , responsible for running the game worldwide , conducted a trial in 2002 where lbw appeals could be referred to a match official , the third umpire , to review on television replays . The third umpire could only use technology to determine where the ball had pitched and if the... | [
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"Updated_Passage": "<|start-PI|>The International Cricket Council ( ICC ) , responsible for running the game worldwide , conducted a trial in 2002 where<|end-PI|> <|retrieval|> <|start-KFI|>lbw appeals could be referred to a match official , the third umpire , to review on television replays<|end-KFI|> . <|start-PI... |
Critics of the system suggest that rules for the use of DRS have created an inconsistency of approach to lbw decisions depending on the circumstances of the referral . Opponents also doubt that the ball @-@ tracking technology used in deciding lbws is reliable enough , but the ICC state that tests have shown the syste... | [
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"Updated_Passage": "<|start-PI|>Critics of the system suggest that rules for the use of DRS have created<|end-PI|> <|retrieval|> <|start-KFI|>an inconsistency of approach to lbw decisions depending on the circumstances of the referral<|end-KFI|>. <|start-PI|>Opponents also doubt that the ball @-@ tracking technolog... |
A study in 2011 by Douglas Miller shows that in English county cricket , the proportion of wickets to fall lbw has increased steadily since the First World War . In the 1920s , around 11 % of wickets were lbw but this rose to 14 % in the 1930s . Between 1946 and 1970 , the proportion was approximately 11 % but subsequ... | [
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"Updated_Passage": "<|start-PI|>A study in 2011 by Douglas Miller shows that in English county cricket , the proportion of wickets to fall lbw has increased steadily since<|end-PI|> <|retrieval|> <|start-KFI|>the First World War<|end-KFI|> . <|start-PI|>In the 1920s , around 11 % of wickets were lbw but this rose t... |
Teams that toured other countries often became frustrated by lbws given against them ; there was often an assumption of national bias by home umpires against visiting teams . Several studies investigating this perception have suggested that home batsmen are sometimes less likely than visiting batsmen to be lbw . Howev... | [
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"Updated_Passage": "<|start-PI|>Teams that toured other countries often became frustrated by lbws given against them ;<|end-PI|> <|retrieval|> <|start-KFI|>there was often an assumption of national bias by home umpires against visiting teams<|end-KFI|> . <|start-PI|>Several studies investigating this perception hav... |
In his survey of cricket laws , Gerald Brodribb suggests that " no dismissal has produced so much argument as lbw ; it has caused trouble from its earliest days " . Among those who do not follow cricket , the law has the reputation of being extremely difficult to understand , of equivalent complexity to association fo... | [
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"Updated_Passage": "<|start-PI|> Gerald Brodribb suggests that \" no dismissal has produced so much argument as <|end-PI|> <|retrieval|> <|start-KFI|> lbw ; it has caused trouble from its earliest days \" <|end-KFI|> . <|start-PI|> Among those who do not follow cricket , the law has the reputation of being <|end-PI... |
The Family Jewels is the debut studio album recorded by Welsh singer Marina Diamandis , professionally known as Marina and the Diamonds . It was released on 15 February 2010 by 679 Recordings and Atlantic Records . Diamandis collaborated with several producers including Pascal Gabriel , Liam Howe , Greg Kurstin , Rich... | [
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"Updated_Passage": "<|start-PI|>The Family Jewels is the debut studio album recorded by Welsh singer Marina Diamandis , professionally known as<|end-PI|> <|retrieval|> <|start-KFI|>Marina and the Diamonds<|end-KFI|> . <|start-PI|>It was released on<|end-PI|> <|retrieval|> <|start-KFI|>15 February 2010 by 679 Record... |
Contemporary music critics gave The Family Jewels fairly positive reviews , with the vocal delivery dividing opinions . The record debuted at number five on the UK Albums Chart with first @-@ week sales of 27 @,@ 618 copies . The album was eventually certified Gold by the British Phonographic Industry and has sold 195... | [
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"Updated_Passage": "<|start-PI|>Contemporary music critics gave The Family Jewels<|end-PI|> <|retrieval|> <|start-KFI|>fairly positive reviews , with the vocal delivery dividing opinions<|end-KFI|> . <|start-PI|>The record debuted at number five on the UK Albums Chart with first @-@ week sales of<|end-PI|> <|retrie... |
The Family Jewels was supported by five singles , all of which were supplemented by accompanying music videos . " Mowgli 's Road " was released on 13 November 2009 , although " Hollywood " became its first charting track after reaching number 12 on the UK Singles Chart . Follow @-@ up singles " I Am Not a Robot " , " ... | [
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"Updated_Passage": "<|start-PI|>The Family Jewels was supported by five singles , all of which were supplemented by<|end-PI|> <|retrieval|> <|start-KFI|>accompanying music videos<|end-KFI|> . <|start-PI|>\" Mowgli 's Road \" was released on<|end-PI|> <|retrieval|> <|start-KFI|>13 November 2009<|end-KFI|> , although... |
Born and raised in South East Wales , Diamandis moved to London at the age of 18 to study music , despite not having a musical background . After dropping out of four institutions and failing in auditions , she began composing her own music . After the success of her Myspace @-@ released debut EP Mermaid vs. Sailor in... | [
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"Updated_Passage": "<|start-PI|>Born and raised in South East Wales , Diamandis moved to London at the age of<|end-PI|> <|retrieval|> <|start-KFI|>18 to study music , despite not having a musical background<|end-KFI|> . After dropping out of four institutions and failing in auditions , she began composing her own m... |
In a 2012 interview with Pridesource , Diamandis said that the album 's title came from a slang term for testes , but she had been too coy to admit it before .
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"Updated_Passage": "<|start-PI|>In a 2012 interview with Pridesource , Diamandis said that the album 's title came from<|end-PI|> <|retrieval|> <|start-KFI|>a slang term for testes , but she had been too coy to admit it before<|end-KFI|> .",
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Diamandis explained that the album is " a body of work largely inspired by the seduction of commercialism , modern social values , family and female sexuality " , intended to be " enjoyed and consumed as a story and theory that encourages people to question themselves " .
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"Updated_Passage": "<|start-PI|>Diamandis explained that the album is<|end-PI|> <|retrieval|> <|start-KFI|>\" a body of work largely inspired by the seduction of commercialism , modern social values , family and female sexuality \"<|end-KFI|> , <|start-PI|>intended to be<|end-PI|> <|retrieval|> <|start-KFI|>\" enjo... |
In a review for Q , writer Hugh Montgomery noted genres such as disco ( " Shampain " ) , bubblegum punk ( " Girls " ) and cabaret ( " Hermit The Frog " ) . The opening track , " Are You Satisfied ? " , ponders the meaning of a fulfilling life ; a writer for The Line of Best Fit likened it to the thinking of Danish exi... | [
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"Updated_Passage": "<|start-PI|>In a review for Q , writer Hugh Montgomery noted genres such as<|end-PI|> <|retrieval|> <|start-KFI|>disco ( \" Shampain",
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"Key_Factual_Information": "disco ( \" Shampain",
"Prefi... |
Diamandis reportedly made producer Liam Howe take 486 vocal takes for " The Outsider " . " Hollywood " takes inspiration from Diamandis ' previous obsession with American celebrity culture , while in " I Am Not a Robot " , her favourite track from the album , she sings to tell herself to accept imperfection , with lin... | [
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"Updated_Passage": "<|start-PI|>Diamandis reportedly made producer Liam Howe take<|end-PI|> <|retrieval|> <|start-KFI|>486 vocal takes for 'The Outsider'<|end-KFI|>. <|start-PI|>'Hollywood' takes inspiration from<|end-PI|> <|retrieval|> <|start-KFI|>Diamandis' previous obsession with American celebrity culture<|end... |
In 2008 , Diamandis filmed videos for the tracks " Seventeen " and " Obsessions " . The following year , photographer Rankin directed the accompaniment for " I Am Not a Robot " , which used much body glitter . The video for " Mowgli 's Road " featured Diamandis and two dancers , with puppeteers standing in front of th... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In 2008, Diamandis filmed videos for the tracks<|end-PI|> <|retrieval|> <|start-KFI|>\"Seventeen\" and \"Obsessions\"<|end-KFI|>. <|start-PI|>The following year, photographer Rankin directed the accompaniment for<|end-PI|> <|retrieval|> <|start-KFI|>\"I Am Not a Robot\", which used m... |
Polish artist Kinga Burza shot the " classic pop video " for " Hollywood " , with the aim to " make her audiences fall in love her even more , perhaps crave a little popcorn and feel inspired to dress up for fun " . Burza also filmed the video for " Oh No ! " , with an aesthetic based on " zany neon " MTV graphics and... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Polish artist Kinga Burza shot the \" classic pop video \" for \" Hollywood \" , with the aim to<|end-PI|> <|retrieval|> <|start-KFI|>\" make her audiences fall in love her even more , perhaps crave a little popcorn and feel inspired to dress up for fun \"<|end-KFI|> . <|start-PI|>Bu... |
Dan Knight made a video for Chilly Gonzales ' " stripped @-@ down " remix of " Hollywood " that was intended to be the opposite of Burza 's official video . In the video , Gonzales and Diamandis perform on a 1980s Estonian music show complete with subtitles .
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Dan Knight made a video for Chilly Gonzales ' \" stripped @-@ down \" remix of \" Hollywood \" that was intended to be<|end-PI|> <|retrieval|> <|start-KFI|>the opposite of Burza 's official video<|end-KFI|>. <|start-PI|>In the video , Gonzales and Diamandis perform on<|end-PI|> <|ret... |
" Obsessions " was Diamandis ' first single , released on 14 February 2009 , and " Mowgli 's Road " followed on 13 November 2009 . She chose the song as an " uncommercial " taster due to its oddness , but it received attention after being shared by bloggers including Perez Hilton and Kanye West .
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> \" Obsessions \" was Diamandis ' first single , released on <|end-PI|> <|retrieval|> <|start-KFI|> 14 February 2009 <|end-KFI|> , and <|start-PI|> \" Mowgli 's Road \" followed on <|end-PI|> <|retrieval|> <|start-KFI|> 13 November 2009 <|end-KFI|> . <|start-PI|> She chose the song a... |
" Hollywood " was released as the album 's second single and Diamandis ' first major release on 1 February 2010 . It reached number 12 on the UK Singles Chart . It was followed on 26 April by " I Am Not a Robot " , which peaked at number 26 on the same listing . " Oh No ! " was released as the album 's fourth single o... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>\"Hollywood\" was released as the album's second single and Diamandis' first major release on<|end-PI|> <|retrieval|> <|start-KFI|>1 February 2010<|end-KFI|>. <|start-PI|>It reached number<|end-PI|> <|retrieval|> <|start-KFI|>12 on the UK Singles Chart<|end-KFI|>. It was followed on ... |
" I Am Not a Robot " was nominated for the 2010 Popjustice £ 20 Music Prize for best British single , eventually losing to " Kickstarts " by Example .
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> \" I Am Not a Robot \" was nominated for the 2010 Popjustice £ 20 Music Prize for <|end-PI|> <|retrieval|> <|start-KFI|> best British single <|end-KFI|> , <|start-PI|> eventually losing to <|end-PI|> <|retrieval|> <|start-KFI|> \" Kickstarts \" by Example <|end-KFI|> .",
"error": ... |
Diamandis went on her first headlining tour to promote the album , performing in Europe , North America and Australia . Dates included the Glastonbury Festival 2010 , South by Southwest and the Falls Festival . In parallel to headlining her own tour in the United States in mid @-@ 2011 , she was an opening act for Kat... | [
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"Updated_Passage": "<|start-PI|>Diamandis went on her first headlining tour to promote the album , performing in<|end-PI|> <|retrieval|> <|start-KFI|>Europe , North America and Australia<|end-KFI|> . <|start-PI|>Dates included the<|end-PI|> <|retrieval|> <|start-KFI|>Glastonbury Festival 2010 , South by Southwest a... |
After a performance at Manchester 's Deaf Institute on 21 February 2010 , Contactmusic.com writer Katy Ratican awarded Diamandis a 9 / 10 rating , stating " Next time she plays Manchester , it will be to a sold out Academy 2 audience , with a top @-@ selling album gracing the merchandising stand . Marina won 't be pla... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After a performance at Manchester 's Deaf Institute on 21 February 2010 , Contactmusic.com writer Katy Ratican awarded Diamandis<|end-PI|> <|retrieval|> <|start-KFI|>a 9 / 10 rating<|end-KFI|> , <|start-PI|>Katy Ratican awarded Diamandis a 9 / 10 rating , stating<|end-PI|> <|retrieva... |
The Family Jewels received mostly positive reviews . At Metacritic , which assigns a normalised rating out of 100 to reviews from mainstream critics , the album received an average score of 68 , based on 21 reviews , which indicates " generally favorable reviews " .
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The Family Jewels received mostly positive reviews . At Metacritic , which assigns a normalised rating out of 100 to reviews from mainstream critics , the album received <|end-PI|> <|retrieval|> <|start-KFI|> an average score of 68 , based on 21 reviews , which indicates \" generall... |
Hugh Montgomery of Q magazine noted that the singer 's " imaginative reach " was " complemented by a winning pop savviness " , while Luke O 'Neil from The Phoenix stated that " [ t ] he likes of Kate Nash and company have flitted through this piano siren / exuberant dance @-@ diva territory , but never mind , because ... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Hugh Montgomery of Q magazine noted that the singer 's \" imaginative reach \" was<|end-PI|> <|retrieval|> <|start-KFI|>\" complemented by a winning pop savviness \"<|end-KFI|>, while <|start-PI|>Luke O 'Neil from The Phoenix stated that<|end-PI|> <|retrieval|> <|start-KFI|>\" [ t ] ... |
More mixed reviews were critical of Diamandis ' vocal delivery . Lou Thomas from BBC Music commented that " [ t ] he consistently diverting changes in style across the album are fine — the wonky 80s shoulder @-@ pad pop of ' The Outsider ' is nothing like anything else here , for example . But over 13 songs of Sparks ... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "More mixed reviews were critical of Diamandis ' vocal delivery . <|start-PI|> Lou Thomas from BBC Music commented that <|end-PI|> <|retrieval|> <|start-KFI|> [ t ] he consistently diverting changes in style across the album are fine — the wonky 80s shoulder @-@ pad pop of ' The Outsider ' is not... |
A negative review came from The Independent 's Andy Gill who considered " Shampain " and " Hermit the Frog " as " every bit as annoying as their punning titles , with queasy , prancing piano and synth figures " . He found certain vocal techniques in " Mowgli 's Road " and " I Am Not a Robot " to be " infantile " , and... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>A negative review came from The Independent 's Andy Gill who considered<|end-PI|> <|retrieval|> <|start-KFI|>\" Shampain \" and \" Hermit the Frog \" as \" every bit as annoying as their punning titles , with queasy , prancing piano and synth figures \"<|end-KFI|>. <|start-PI|>He fou... |
The Family Jewels debuted at number five on the UK Albums Chart with first @-@ week sales of 27 @,@ 618 copies . It remains Diamandis ' best @-@ selling debut week , after her second studio album Electra Heart entered the chart at number one with first @-@ week sales of 21 @,@ 358 units . The Family Jewels was later c... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Family Jewels debuted at number five on the UK Albums Chart with first @-@ week sales of<|end-PI|> <|retrieval|> <|start-KFI|>27 @,@ 618 copies<|end-KFI|>. <|start-PI|>It remains Diamandis ' best @-@ selling debut week , after her second studio album Electra Heart entered the cha... |
The Family Jewels performed moderately on several international record charts . The record reached number 12 on the German Media Control Charts , and entered the Ö3 Austria Top 40 at number 18 . It peaked at number 88 on the Dutch MegaCharts , number 100 on the Swiss Hitparade , and number 132 in France . In Oceania ,... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Family Jewels performed moderately on several international record charts . The record reached number<|end-PI|> <|retrieval|> <|start-KFI|>12 on the German Media Control Charts<|end-KFI|> , and <|start-PI|>The Family Jewels entered the Ö3 Austria Top 40 at number<|end-PI|> <|retr... |
In an interview for Australian radio in January 2011 , Diamandis said that her career that far had been " more like a failure than a success " , particularly in the American market . She attributed this to the inaction of Chop Shop Records , her label in the United States , as well as a move in musical tastes to " pum... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In an interview for Australian radio in January 2011, Diamandis said that her career that far had been<|end-PI|> <|retrieval|> <|start-KFI|>more like a failure than a success, particularly in the American market<|end-KFI|>. <|start-PI|>She attributed this to the inaction of Chop Shop... |
The 1981 Peach Bowl was a post @-@ season American college football bowl game between the Virginia Tech Hokies and the Hurricanes from the University of Miami at Fulton County Stadium in Atlanta , Georgia on January 2 , 1981 . The game was the final contest of the 1980 NCAA Division I @-@ A football season for both te... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The 1981 Peach Bowl was a post @-@ season American college football bowl game between<|end-PI|> <|retrieval|> <|start-KFI|>the Virginia Tech Hokies and the Hurricanes from the University of Miami<|end-KFI|> <|start-PI|>at<|end-PI|> <|retrieval|> <|start-KFI|>Fulton County Stadium in ... |
Virginia Tech was awarded a bid to the Peach Bowl as a reward for finishing 8 – 3 during the regular season , a record that included wins over nationally ranked teams such as the Clemson Tigers and the Virginia Cavaliers . Facing Virginia Tech was a familiar post @-@ season opponent — Miami — whom the Hokies had playe... | [
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"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Virginia Tech was awarded a bid to the Peach Bowl as a reward for finishing<|end-PI|> <|retrieval|> <|start-KFI|>8 – 3 during the regular season , a record that included wins over nationally ranked teams such as the Clemson Tigers and the Virginia Cavaliers<|end-KFI|> . <|start-PI|>F... |
The game kicked off at 3 : 00 p.m. EST under sunny skies and in temperatures of 46 ° F ( 8 ° C ) . Unlike the 1966 Liberty Bowl , in which Virginia Tech scored first , it was Miami who dominated the game 's early going . The Hurricanes scored a touchdown on the first drive of the game and tacked on another touchdown e... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The game kicked off at 3 : 00 p.m. EST under sunny skies and in temperatures of<|end-PI|> <|retrieval|> <|start-KFI|>46 ° F ( 8 ° C )<|end-KFI|> . <|start-PI|>Unlike the 1966 Liberty Bowl , in which Virginia Tech scored first , it was Miami who<|end-PI|> <|retrieval|> <|start-KFI|>do... |
The Miami Hurricanes came into the 1980 college football season after an 5 – 6 season in 1979 under head coach Howard Schnellenberger . During that season , the team was nicknamed the " Jet Lag Kids " after they traveled an NCAA @-@ record 28 @,@ 000 miles ( 45 @,@ 000 km ) , including a trip to the Mirage Bowl in Tok... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Miami Hurricanes came into the 1980 college football season after<|end-PI|> <|retrieval|> <|start-KFI|>an 5 – 6 season in 1979 under head coach Howard Schnellenberger<|end-KFI|> . <|start-PI|>During that season , the team was nicknamed the<|end-PI|> <|retrieval|> <|start-KFI|>\" ... |
Miami got off to a good start doing just that as it raced out to four consecutive wins to begin the season , including a victory over nationally ranked rival No. 9 Florida State . On October 11 , however , Miami traveled to South Bend , Indiana , to face the Notre Dame Fighting Irish and suffered its first loss of the... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Miami got off to a good start doing just that as it raced out to four consecutive wins to begin the season , including<|end-PI|> <|retrieval|> <|start-KFI|>a victory over nationally ranked rival No. 9 Florida State<|end-KFI|> . <|start-PI|>On October 11 , however , Miami traveled to ... |
The Virginia Tech Hokies , like Miami , entered the 1980 season after accumulating a 5 – 6 record in 1979 . Though the Hokies traveled far less than Miami , they also hoped to improve upon their losing record . Tech was coached by Bill Dooley , who was entering his third season as head coach .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The Virginia Tech Hokies , like Miami , entered the 1980 season after accumulating a <|end-PI|> <|retrieval|> <|start-KFI|> 5 – 6 record in 1979 <|end-KFI|> . Though the Hokies traveled far less than Miami , they also hoped to improve upon their losing record . <|start-PI|> Tech was... |
Like Schnellenberger , he got his team off to a fast start . In the season opener , Tech traveled to North Carolina to face the Wake Forest Demon Deacons . Wake Forest had attended the Tangerine Bowl the previous year and was favored in the game against Tech . Despite those facts , the Hokies won , 16 – 7 . Virginia T... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In the season opener , Tech traveled to North Carolina to face<|end-PI|> <|retrieval|> <|start-KFI|>the Wake Forest Demon Deacons<|end-KFI|> . <|start-PI|>Wake Forest had attended the Tangerine Bowl the previous year and was<|end-PI|> <|retrieval|> <|start-KFI|>favored in the game ag... |
The Miami Hurricanes entered the Peach Bowl with a record @-@ breaking offense that set the school mark for the most accumulated yards in school history with a total offensive mark of 3 @,@ 756 yards . Leading the aerial portion of the Miami offense was sophomore quarterback Jim Kelly , who completed 109 of 206 passes... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The Miami Hurricanes entered the Peach Bowl with a record @-@ breaking offense that set the school mark for the most accumulated yards in school history with a total offensive mark of <|end-PI|> <|retrieval|> <|start-KFI|> 3 @,@ 756 yards <|end-KFI|> . <|start-PI|> Leading the aeria... |
The Hurricanes ' ground offense was led by running back Smokey Roan , who carried the ball 152 times for 669 yards and five touchdowns . Roan was assisted by an able offensive line . Miami offensive tackle John Canei was named as an honorable mention to the Associated Press All @-@ America team , which recognizes the ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The Hurricanes ' ground offense was led by running back <|end-PI|> <|retrieval|> <|start-KFI|> Smokey Roan , who carried the ball 152 times for 669 yards and five touchdowns <|end-KFI|> . Roan was assisted by an able offensive line . <|start-PI|> Miami offensive tackle John Canei wa... |
Miami 's defense shut out one opponent , and held six other opponents to single touchdowns or field goals . Middle guard Jim Burt was one of the Hurricanes ' defensive leaders , recovering four fumbles in a single game during the regular season . In recognition of this and other performances , Burt was named to the As... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Miami's defense shut out one opponent, and held six other opponents to<|end-PI|> <|retrieval|> <|start-KFI|>single touchdowns or field goals<|end-KFI|>. <|start-PI|>Middle guard Jim Burt was one of the Hurricanes' defensive leaders, recovering<|end-PI|> <|retrieval|> <|start-KFI|>fou... |
Throughout the regular season , Virginia Tech 's offense was led by running back Cyrus Lawrence , who accumulated what was then a school record of 1 @,@ 221 yards during the regular season . He also set a record for most carries by a Tech player in a season with 271 . Tech quarterback Steve Casey was called the " key ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Throughout the regular season, Virginia Tech's offense was led by running back Cyrus Lawrence, who accumulated what was then a school record of<|end-PI|> <|retrieval|> <|start-KFI|>1,221 yards during the regular season<|end-KFI|>. <|start-PI|>He also set a record for most carries by ... |
Casey 's favorite target was wide receiver Sidney Snell , who caught a Tech @-@ record eight touchdown receptions during the regular season . Snell accounted for 568 yards on 43 receptions of all types . Tight end Rob Purdham only caught seven passes during the regular season , but four of the catches were for touchdo... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Casey's favorite target was wide receiver Sidney Snell, who caught<|end-PI|> <|retrieval|> <|start-KFI|>a Tech @-@ record eight touchdown receptions during the regular season<|end-KFI|>. <|start-PI|>Snell accounted for<|end-PI|> <|retrieval|> <|start-KFI|>568 yards on 43 receptions o... |
The Tech defense was ranked among the top five in the country during the regular season , and set a school record for fewest points allowed during an 11 @-@ game regular season . Tech permitted just 109 points during the season , and allowed only 11 touchdowns in 11 games .
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{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Tech defense was ranked among the top five in the country during the regular season , and<|end-PI|> <|retrieval|> <|start-KFI|>set a school record for fewest points allowed during an 11 @-@ game regular season<|end-KFI|> . <|start-PI|>Tech permitted just<|end-PI|> <|retrieval|> <... |
The leading tackler on the Tech defense was freshman linebacker Ashley Lee , who accumulated 95 tackles during the regular season . Lee was one of two freshman linebackers for the Hokies during their record @-@ breaking defensive season .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> The leading tackler on the Tech defense was freshman linebacker Ashley Lee , who accumulated <|end-PI|> <|retrieval|> <|start-KFI|> 95 tackles during the regular season <|end-KFI|> . <|start-PI|> Lee was one of two freshman linebackers for the Hokies during their <|end-PI|> <|retrie... |
Virginia Tech 's defense also featured Robert Brown , who accumulated 10 tackles , including two quarterback sacks , in the Hokies ' regular @-@ season finale against the Virginia Military Institute . Tech head coach Bill Dooley lobbied in vain for Brown 's inclusion in the annual All @-@ America list recording the be... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Virginia Tech's defense also featured Robert Brown, who accumulated<|end-PI|> <|retrieval|> <|start-KFI|>10 tackles, including two quarterback sacks, in the Hokies' regular-season finale against the Virginia Military Institute<|end-KFI|>. <|start-PI|>Tech head coach Bill Dooley lobbi... |
The 1981 Peach Bowl kicked off at 3 p.m. EST on January 2 , 1981 , at Fulton County Stadium in Atlanta , Georgia in front of a crowd estimated at 45 @,@ 384 people . More than 14 @,@ 000 of those present were estimated to be fans of Virginia Tech . Weather at kickoff was sunny , with a temperature of 46 ° F ( 8 ° C ) ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The 1981 Peach Bowl kicked off at<|end-PI|> <|retrieval|> <|start-KFI|>3 p.m. EST on January 2 , 1981<|end-KFI|> , <|start-PI|>The 1981 Peach Bowl was held at<|end-PI|> <|retrieval|> <|start-KFI|>Fulton County Stadium in Atlanta , Georgia<|end-KFI|> <|start-PI|>The crowd at the 1981 ... |
After the Virginia Tech kickoff and a short return , Miami began the first drive of the game at its 32 @-@ yard line . The game 's first play was an incomplete pass from Miami quarterback Jim Kelly . After a one @-@ yard rush , Kelly completed his first pass of the game , an 18 @-@ yard toss that drove Miami to the Te... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>After the Virginia Tech kickoff and a short return , Miami began the first drive of the game at its<|end-PI|> <|retrieval|> <|start-KFI|>32 @-@ yard line<|end-KFI|> . <|start-PI|>The game 's first play was<|end-PI|> <|retrieval|> <|start-KFI|>an incomplete pass from Miami quarterback... |
Following Miami 's post @-@ touchdown kickoff , Virginia Tech began its first offensive possession of the game at its 24 @-@ yard line . A three @-@ yard rush from fullback Scott Dovel was followed by two rushes from Tech 's Cyrus Lawrence : one for eight yards and a second for 17 more . These drove Tech into Miami te... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Following Miami 's post @-@ touchdown kickoff , Virginia Tech began its first offensive possession of the game at its<|end-PI|> <|retrieval|> <|start-KFI|>24 @-@ yard line<|end-KFI|> . <|start-PI|>A three @-@ yard rush from fullback Scott Dovel was followed by two rushes from Tech 's... |
Tech recovered the punt at its 30 @-@ yard line and began its second possession . Lawrence rushed for five yards , and Miami committed a five @-@ yard offsides penalty , giving Tech a first down by penalty . Dovel and Lawrence then combined for another first down after two plays . Tech was unable to gain another first... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech recovered the punt at its<|end-PI|> <|retrieval|> <|start-KFI|>30 @-@ yard line<|end-KFI|> and began its second possession . Lawrence rushed for five yards , and <|start-PI|>Miami committed a five @-@ yard offsides penalty , giving Tech<|end-PI|> <|retrieval|> <|start-KFI|>a fir... |
From their one @-@ yard line , the Hurricanes ran a short rush up the middle , then Kelly connected on a 28 @-@ yard pass to tight end Mark Cooper for a first down . Three short rushes by fullback Speedy Neal resulted in 12 yards and a first down . With time running out in the quarter , Kelly attempted and completed a... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>From their one @-@ yard line , the Hurricanes ran<|end-PI|> <|retrieval|> <|start-KFI|>a short rush up the middle<|end-KFI|> , then <|start-PI|>Kelly connected on a<|end-PI|> <|retrieval|> <|start-KFI|>28 @-@ yard pass to tight end Mark Cooper for a first down<|end-KFI|> . <|start-PI... |
Miami began the second quarter in possession of the ball and facing a first down at the Virginia Tech 30 @-@ yard line . From there , it took Miami just four plays to score . Roan ran for seven yards , Kelly completed an 11 @-@ yard pass , threw an incomplete pass , then Hobbs ran 12 yards for the touchdown . The scor... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "Miami began the second quarter in possession of the ball and facing a first down at the Virginia Tech 30 @-@ yard line . <|start-PI|> From there , it took Miami just four plays to score <|end-PI|> <|retrieval|> <|start-KFI|> Roan ran for seven yards , Kelly completed an 11 @-@ yard pass , threw ... |
Virginia Tech received the post @-@ touchdown kickoff and was promptly penalized 10 yards for an illegal block during the kickoff . Despite the initial setback , Tech made good the penalty with two passes from quarterback Steve Casey . After gaining one first down , the Hokies gained several more with a combination of... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Virginia Tech received the post @-@ touchdown kickoff and was promptly penalized<|end-PI|> <|retrieval|> <|start-KFI|>10 yards for an illegal block during the kickoff<|end-KFI|>. Despite the initial setback , <|start-PI|>Tech made good the penalty with<|end-PI|> <|retrieval|> <|start... |
The Hurricanes picked up a first down on one rush each from Hobbs and Roan , but were unable to gain another . After a Miami punt , Tech returned to offense from its 46 @-@ yard line . Casey picked up a first down on a pass , then gained another after a seven @-@ yard scramble that followed a three @-@ yard rush by La... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "The Hurricanes picked up a first down on one rush each from Hobbs and Roan , but were unable to gain another . After a Miami punt , Tech returned to offense from its 46 @-@ yard line . Casey picked up a first down on a pass , then gained another after a seven @-@ yard scramble that followed a th... |
Miami was penalized 15 yards for roughing the kicker during the field goal attempt , allowing Tech to kick off from the Miami 45 @-@ yard line following the score . Instead of kicking off to Miami , Tech attempted an onside kick , which would allow Tech to retain possession if the ball was recovered by the kicking tea... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Miami was penalized 15 yards for roughing the kicker during the field goal attempt , allowing Tech to kick off from<|end-PI|> <|retrieval|> <|start-KFI|>the Miami 45 @-@ yard line following the score<|end-KFI|> . <|start-PI|>Instead of kicking off to Miami , Tech attempted an onside ... |
Because Miami received the ball to begin the game , Virginia Tech received the ball to begin the second half . After Miami 's kickoff and a touchback , Tech began the first possession of the second half at its 20 @-@ yard line . The Hokies picked up a quick first down off a rush each by Lawrence , Dovel , and Casey . ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Because Miami received the ball to begin the game , Virginia Tech received the ball to begin<|end-PI|> <|retrieval|> <|start-KFI|>the second half<|end-KFI|> . After Miami 's kickoff and a touchback , Tech began the first possession of the second half at its 20 @-@ yard line . The Hok... |
Following the Tech kickoff , Miami began a drive at its 20 @-@ yard line and went three and out . Following the Hurricanes ' punt , Tech 's offense began work at its 22 @-@ yard line . Despite having a chance to take the lead with a successful drive , the Hokies also went three and out , punting back to Miami and allo... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "Following the Tech kickoff , Miami began a drive at its 20 @-@ yard line and went three and out . <|start-PI|>Following the Hurricanes ' punt , Tech 's offense began work at its<|end-PI|> <|retrieval|> <|start-KFI|>22 @-@ yard line<|end-KFI|> . Despite having a chance to take the lead with a suc... |
Tech received Miami 's kickoff for a touchback , and the Hokies ' offense began work at the Tech 20 @-@ yard line . Lawrence ran for six yards , and time ran out in the quarter . With one quarter remaining , Miami held a 17 – 10 lead .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech received Miami 's kickoff for<|end-PI|> <|retrieval|> <|start-KFI|>a touchback<|end-KFI|> , and <|start-PI|>the Hokies ' offense began work at<|end-PI|> <|retrieval|> <|start-KFI|>the Tech 20 @-@ yard line<|end-KFI|> . <|start-PI|>Lawrence ran for<|end-PI|> <|retrieval|> <|start... |
Tech began the fourth quarter in possession of the ball and facing a second down at its 26 @-@ yard line . Despite needing just another four yards for a first down , Tech was unable to gain the needed yardage and was forced to punt . During the kick , Miami was penalized five yards , and began its first possession of ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech began the fourth quarter in possession of the ball and facing a second down at its<|end-PI|> <|retrieval|> <|start-KFI|>26 @-@ yard line<|end-KFI|> . Despite needing just another four yards for a first down , Tech was unable to gain the needed yardage and was forced to punt . <|... |
Tech 's punt was short , and Miami began a possession at the Tech 41 @-@ yard line . The Hurricanes picked up a first down with two rushes by Roan for a total of 14 yards . Despite further short gains by Roan , the Hurricanes were stopped short by the Tech defense and were unable to gain another . Miami sent in kicker... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech 's punt was short , and Miami began a possession at<|end-PI|> <|retrieval|> <|start-KFI|>the Tech 41 @-@ yard line<|end-KFI|> . <|start-PI|>The Hurricanes picked up a first down with two rushes by Roan for a total of<|end-PI|> <|retrieval|> <|start-KFI|>14 yards<|end-KFI|> . Des... |
Tech received Miami 's post @-@ score kickoff needing to score quickly in order to have a chance to have a second opportunity on offense — needed because Tech was now two scores behind . Tech returned the kickoff to the 24 @-@ yard line but were penalized 12 yards for an illegal block . Casey passed for an eight @-@ y... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech returned the kickoff to the<|end-PI|> <|retrieval|> <|start-KFI|>24 @-@ yard line but were penalized 12 yards for an illegal block<|end-KFI|>. <|start-PI|>Casey passed for an eight @-@ yard gain and ran for<|end-PI|> <|retrieval|> <|start-KFI|>three yards for a first down<|end-K... |
Tech received the ball at its 16 @-@ yard line , and Casey completed a quick 14 @-@ yard pass to Purdham for a first down . But Tech was unable to gain another first down , and after four plays were stopped short , Tech turned the ball over to Miami after Casey threw an incomplete pass on fourth down . Miami received ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Tech received the ball at its<|end-PI|> <|retrieval|> <|start-KFI|>16 @-@ yard line<|end-KFI|> , and <|start-PI|>Casey completed a quick<|end-PI|> <|retrieval|> <|start-KFI|>14 @-@ yard pass to Purdham for a first down<|end-KFI|> . But Tech was unable to gain another first down , and... |
In recognition of their performances during the Peach Bowl , Miami quarterback Jim Kelly and nose guard Jim Burt were named the game 's offensive and defensive most valuable players of the game , respectively . Kelly finished the game having completed 11 of his 22 pass attempts for 179 yards , one touchdown , and one ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In recognition of their performances during the Peach Bowl , Miami quarterback Jim Kelly and nose guard Jim Burt were named the game 's offensive and defensive most valuable players of the game , respectively .<|end-PI|> <|retrieval|> <|start-KFI|>Kelly finished the game having compl... |
Virginia Tech running back Cyrus Lawrence finished the game with 27 carries for 137 rushing yards and a touchdown . The 27 carries remain the most ever recorded by a single Virginia Tech player in a bowl game . Tech quarterback Steve Casey led the Hokies in passing yardage , completing nine of his 23 pass attempts for... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Virginia Tech running back Cyrus Lawrence finished the game with<|end-PI|> <|retrieval|> <|start-KFI|>27 carries for 137 rushing yards and a touchdown<|end-KFI|> . <|start-PI|>The 27 carries remain<|end-PI|> <|retrieval|> <|start-KFI|>the most ever recorded by a single Virginia Tech ... |
The Hurricanes ' ground offense was led by Smokey Roan , who carried the ball 16 times for 86 yards . Second to Roan for Miami was Chris Hobbs , who contributed 66 yards and a touchdown on 10 carries . Hurricanes wide receiver Larry Brodsky finished with four catches for 80 yards and a touchdown . Miami turned the bal... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Hurricanes ' ground offense was led by<|end-PI|> <|retrieval|> <|start-KFI|>Smokey Roan , who carried the ball 16 times for 86 yards<|end-KFI|> . <|start-PI|>Second to Roan for Miami was<|end-PI|> <|retrieval|> <|start-KFI|>Chris Hobbs , who contributed 66 yards and a touchdown o... |
On defense , Virginia Tech linebacker Ashley Lee 's 15 tackles remains the most ever recorded by a Tech defender in a bowl game . Three Tech players were tied for second on the team with eight tackles . Behind defensive MVP Burt , Miami had one player with eight tackles and two with seven . Fred Marion , one of the Hu... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>On defense , Virginia Tech linebacker Ashley Lee 's 15 tackles remains<|end-PI|> <|retrieval|> <|start-KFI|>the most ever recorded by a Tech defender in a bowl game<|end-KFI|> . <|start-PI|>Three Tech players were tied for second on the team with<|end-PI|> <|retrieval|> <|start-KFI|>... |
In exchange for their participation , each team received $ 663 @,@ 389 . Miami 's win brought the Hurricanes to a final record of 9 – 3 for the 1980 college football season . Likewise , the loss dropped Virginia Tech to a final record of 8 – 4 . Miami 's win also was its first bowl @-@ game victory since a similar win... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>In exchange for their participation , each team received<|end-PI|> <|retrieval|> <|start-KFI|>$ 663 @,@ 389<|end-KFI|> . <|start-PI|>Miami 's win brought the Hurricanes to a final record of<|end-PI|> <|retrieval|> <|start-KFI|>9 – 3 for the 1980 college football season<|end-KFI|> . <... |
The 1980 Peach Bowl victory is sometimes cited as the turning point in the Miami football program , as the Hurricanes went 9 – 2 and 7 – 4 over the next two season before participating in the 1984 Orange Bowl , the championship game of the 1983 college football season . Tech also participated in a 1984 bowl game ; the... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The 1980 Peach Bowl victory is sometimes cited as the turning point in the Miami football program , as the Hurricanes went<|end-PI|> <|retrieval|> <|start-KFI|>9 – 2 and 7 – 4 over the next two season before participating in the 1984 Orange Bowl<|end-KFI|> , the championship game of ... |
Miami had a handful of players selected in the 1981 NFL Draft : Cornerback John Swain was picked with the 101st overall selection , Jim Joiner with the 263rd pick , and Pat Walker with the 290th pick . Miami quarterback Jim Kelly , a sophomore during the 1981 Peach Bowl , was selected in the first round of the 1983 NF... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Miami had a handful of players selected in the 1981 NFL Draft :<|end-PI|> <|retrieval|> <|start-KFI|>Cornerback John Swain was picked with the 101st overall selection , Jim Joiner with the 263rd pick , and Pat Walker with the 290th pick<|end-KFI|> . <|start-PI|>Miami quarterback Jim ... |
Miami and Virginia Tech would both be charter members of the Big East Conference 's football league in 1991 , and in 2004 , both schools moved to the Atlantic Coast Conference - which now has a tie @-@ in for what is now called the Chick @-@ Fil A Bowl .
| [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Miami and Virginia Tech would both be charter members of the Big East Conference 's football league in<|end-PI|> <|retrieval|> <|start-KFI|>1991<|end-KFI|> , and <|start-PI|>in 2004 , both schools moved to<|end-PI|> <|retrieval|> <|start-KFI|>the Atlantic Coast Conference<|end-KFI|> ... |
The Magdalen Reading is one of three surviving fragments of a large mid @-@ 15th @-@ century oil on panel altarpiece by the Early Netherlandish painter Rogier van der Weyden . The panel , originally oak , was completed some time between 1435 and 1438 and has been in the National Gallery , London since 1860 . It shows ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Magdalen Reading is one of three surviving fragments of a large mid @-@ 15th @-@ century oil on panel altarpiece by<|end-PI|> <|retrieval|> <|start-KFI|>the Early Netherlandish painter Rogier van der Weyden<|end-KFI|> . <|start-PI|>The panel , originally oak , was completed some ... |
The background of the painting had been overpainted with a thick layer of brown paint . A cleaning between 1955 and 1956 revealed the figure standing behind the Magdalene and the kneeling figure with its bare foot protruding in front of her , with a landscape visible through a window . The two partially seen figures a... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The background of the painting had been overpainted with<|end-PI|> <|retrieval|> <|start-KFI|>a thick layer of brown paint<|end-KFI|> . <|start-PI|>A cleaning between 1955 and 1956 revealed<|end-PI|> <|retrieval|> <|start-KFI|>the figure standing behind the Magdalene and the kneeling... |
Although internationally successful in his lifetime , van der Weyden fell from view during the 17th century , and was not rediscovered until the early 19th century . The Magdalen Reading can first be traced to an 1811 sale . After passing through the hands of a number of dealers in the Netherlands , the panel was purc... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Although internationally successful in his lifetime , van der Weyden fell from view during<|end-PI|> <|retrieval|> <|start-KFI|>the 17th century , and was not rediscovered until the early 19th century<|end-KFI|> . <|start-PI|>The Magdalen Reading can first be traced to<|end-PI|> <|re... |
Mary Magdalene as depicted in early Renaissance painting is a composite of various biblical figures . Here , she is based on Mary of Bethany , who is identified as the Magdalene in the Roman Catholic tradition . Mary of Bethany sat at Jesus ' feet and " listened to His Word " , and thus is seen as a contemplative figu... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Mary Magdalene as depicted in early Renaissance painting is<|end-PI|> <|retrieval|> <|start-KFI|>a composite of various biblical figures<|end-KFI|> . <|start-PI|>Here , she is based on Mary of Bethany , who is identified as<|end-PI|> <|retrieval|> <|start-KFI|>the Magdalene in the Ro... |
Van der Weyden often linked form and meaning , and in this fragment the semicircular outline of the Magdalene reinforces her quiet detachment from her surroundings . She is seated on a red cushion and rests her back against a wooden sideboard . By her feet is her usual attribute of an alabaster jar ; in the Gospels sh... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Van der Weyden often linked form and meaning , and in this fragment the semicircular outline of the Magdalene reinforces<|end-PI|> <|retrieval|> <|start-KFI|>her quiet detachment from her surroundings<|end-KFI|> . <|start-PI|>She is seated on a red cushion and rests her back against<... |
Van der Weyden 's pose for the Magdalene is similar to a number of female religious figures painted by his master Robert Campin or his workshop . It closely resembles , in theme and tone , the figure of Saint Barbara in Campin 's Werl Altarpiece , and also the Virgin in an Annunciation attributed to Campin in Brussels... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Van der Weyden's pose for the Magdalene is similar to a number of female religious figures painted by<|end-PI|> <|retrieval|> <|start-KFI|>his master Robert Campin or his workshop<|end-KFI|>. It closely resembles, in theme and tone, the figure of Saint Barbara in Campin's Werl Altarp... |
The level of detail used in portraying the Magdalene has been described by Campbell as " far exceed [ ing ] " van Eyck . Her lips are painted with a shades of vermilion , white and red which are mixed into each other to give a transparent look at the edges . The fur lining of her dress is painted in a range of greys r... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The level of detail used in portraying the Magdalene has been described by Campbell as<|end-PI|> <|retrieval|> <|start-KFI|>\" far exceed [ ing ] \" van Eyck<|end-KFI|>. <|start-PI|>Her lips are painted with<|end-PI|> <|retrieval|> <|start-KFI|>a shades of vermilion , white and red w... |
Many of the objects around her are also closely detailed , in particular the wooden floor and nails , the folds of the Magdalene 's dress , the costume of the figures in the exterior and the beads of Joseph 's rosary . The effect of falling light is closely studied ; Joseph 's crystal rosary beads have bright highligh... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Many of the objects around her are also closely detailed , in particular<|end-PI|> <|retrieval|> <|start-KFI|>the wooden floor and nails , the folds of the Magdalene 's dress , the costume of the figures in the exterior and the beads of Joseph 's rosary<|end-KFI|> . <|start-PI|>The e... |
Lorne Campbell describes the tiny figure of the woman seen through the window and her reflection in the water as " small miracles of painting " , and says that " the attention to detail far exceeds that of Jan van Eyck and the skill of execution is astounding " . He notes that these tiny details would have been imposs... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Lorne Campbell describes the tiny figure of the woman seen through the window and her reflection in the water as<|end-PI|> <|retrieval|> <|start-KFI|>\" small miracles of painting \"<|end-KFI|> , and <|start-PI|>Campbell says that \" the attention to detail far exceeds that of Jan va... |
Virgin and Child with Saints , a drawing in Stockholm 's Nationalmuseum , is believed to be a study of a portion of the original altarpiece by a follower of van der Weyden , who possibly may have been the Master of the Koberger Ründblatter . The drawing has a loosely sketched background and shows , from left to right ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Virgin and Child with Saints , a drawing in Stockholm 's Nationalmuseum , is believed to be<|end-PI|> <|retrieval|> <|start-KFI|>a study of a portion of the original altarpiece by a follower of van der Weyden , who possibly may have been the Master of the Koberger Ründblatter<|end-KF... |
At an unknown point before 1811 , the original altarpiece was broken into at least three pieces , possibly due to damage , although The Magdalen fragment is in good condition . The black overpaint was likely added after the early 17th century when Netherlandish painting had fallen from favour and was unfashionable . C... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>At an unknown point before 1811, the original altarpiece was broken into<|end-PI|> <|retrieval|> <|start-KFI|>at least three pieces, possibly due to damage<|end-KFI|>, although The Magdalen fragment is in good condition. <|start-PI|>The black overpaint was likely added after<|end-PI|... |
The London panel shows much of the clothing of two other figures from the original altarpiece . To the left of the Magdalene is the red robe of what appears to be a kneeling figure . The figure and robe , and less precisely the background , match a kneeling Saint John the Evangelist . Behind the Magdalen is a standing... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The London panel shows much of the clothing of two other figures from the original altarpiece<|end-PI|> <|retrieval|> <|start-KFI|>To the left of the Magdalene is the red robe of what appears to be a kneeling figure . The figure and robe , and less precisely the background , match a ... |
There is a further small panel in Lisbon of a female head , richly or royally dressed , which first appeared in 1907 with the Joseph panel when it was recorded in the inventory of Leo Nardus at Suresnes . The figure may represent Saint Catherine of Alexandria , and from both the angle of her cloth and the fact that th... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>There is a further small panel in Lisbon of a female head , richly or royally dressed , which first appeared in 1907 with the Joseph panel when it was recorded in<|end-PI|> <|retrieval|> <|start-KFI|>the inventory of Leo Nardus at Suresnes<|end-KFI|> . <|start-PI|>The figure may repr... |
Lorne Campbell thinks that though the Catherine head is " obviously less well drawn and less successfully painted than the Magdalen " , it " seems likely " that all three fragments came from the same original work ; he points out that " about half way up the right edge of this fragment [ " Catherine " ] is a small tri... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Lorne Campbell thinks that though the Catherine head is<|end-PI|> <|retrieval|> <|start-KFI|>\" obviously less well drawn and less successfully painted than the Magdalen \"<|end-KFI|>, <|start-PI|>Lorne Campbell thinks that it \" seems likely \" that<|end-PI|> <|retrieval|> <|start-K... |
The Stockholm drawing contains a narrow blank gap to the right of the bishop with a few indistinct lines that could represent the lower profile of the kneeling figure of Saint Catherine . Although none of the faces in the three surviving panels match any in the drawing , a 1971 reconstruction by art historian John War... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Stockholm drawing contains a narrow blank gap to the right of the bishop with<|end-PI|> <|retrieval|> <|start-KFI|>a few indistinct lines that could represent the lower profile of the kneeling figure of Saint Catherine<|end-KFI|>. <|start-PI|>Although none of the faces in the thr... |
Van der Weyden 's depiction of the Magdalen is based on Mary of Bethany , identified by the time of Pope Gregory I as the repentant prostitute of Luke 7 : 36 – 50 . She then became associated with weeping and reading : Christ 's mercy causes the eyes of the sinner to be contrite or tearful . Early Renaissance artists ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Van der Weyden's depiction of the Magdalen is based on<|end-PI|> <|retrieval|> <|start-KFI|>Mary of Bethany, identified by the time of Pope Gregory I as the repentant prostitute of Luke 7: 36 – 50<|end-KFI|>. She then became associated with weeping and reading: <|start-PI|>Christ's m... |
By the medieval period , reading became synonymous with devotion , which involved withdrawal from public view . Van der Weyden 's placement of the Magdalen in an interior scene reflects the increasing literacy of domestic or laywomen in the mid @-@ 15th century . The increased production of devotional texts showed tha... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>By the medieval period, reading became synonymous with<|end-PI|> <|retrieval|> <|start-KFI|>devotion, which involved withdrawal from public view<|end-KFI|>. <|start-PI|>Van der Weyden's placement of the Magdalen in an interior scene reflects<|end-PI|> <|retrieval|> <|start-KFI|>the i... |
The Magdalen imagery further draws on the idea of Christ as the word , represented by a book , with the Magdalen as the reader learning of her own life story in a moment of reflection and repentance . Her devotion to reading reflects her traditional status as the piously repentant harlot , as well as a prophetess or s... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Magdalen imagery further draws on the idea of Christ as the word , represented by<|end-PI|> <|retrieval|> <|start-KFI|>a book , with the Magdalen as the reader learning of her own life story in a moment of reflection and repentance<|end-KFI|> . <|start-PI|>Her devotion to reading... |
The Magdalen 's ointment jar was common in the lexicon of art in van der Weyden 's period . Mary of Bethany may have used a jar when she repented of her sins at Christ 's feet in her home ; by the Renaissance , the image of the Magdalen was of the woman who bathed Christ 's feet with her tears and dried them with her ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Magdalen's ointment jar was common in the lexicon of art in<|end-PI|> <|retrieval|> <|start-KFI|>van der Weyden's period<|end-KFI|>. <|start-PI|>Mary of Bethany may have used a jar when she<|end-PI|> <|retrieval|> <|start-KFI|>repented of her sins at Christ's feet in her home<|en... |
The altarpiece 's date is uncertain but believed to be between 1435 and 1438 . Van der Weyden was made painter to the city of Brussels in 1435 , and it is believed to have been painted after this appointment . The National Gallery gives " before 1438 " . Art historian John Ward notes that the altarpiece was one of van... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The altarpiece's date is uncertain but believed to be between<|end-PI|> <|retrieval|> <|start-KFI|>1435 and 1438<|end-KFI|>. <|start-PI|>Van der Weyden was made painter to the city of Brussels in<|end-PI|> <|retrieval|> <|start-KFI|>1435<|end-KFI|>, and it is believed to have been pa... |
Because van der Weyden , like most of the early Netherlandish painters , was not rediscovered until the early 19th century , many of his works were wrongly attributed or dated , and major pieces such as the Berlin Miraflores Altarpiece continue to emerge . Conversely , when a number of pieces considered either by van ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Because van der Weyden , like most of the early Netherlandish painters , was not rediscovered until<|end-PI|> <|retrieval|> <|start-KFI|>the early 19th century<|end-KFI|> , <|start-PI|>many of his works were wrongly attributed or dated , and major pieces such as<|end-PI|> <|retrieval... |
The Magdalen Reading can first be traced to an 1811 sale of the estate of Cassino , a little @-@ known collector in Haarlem , when the work was already cut down . The painting is recorded in the inventory of Demoiselles Hoofman , also of Haarlem . After passing to the Nieuwenhuys brothers , who were leading dealers in... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Magdalen Reading can first be traced to an 1811 sale of the estate of<|end-PI|> <|retrieval|> <|start-KFI|>Cassino , a little @-@ known collector in Haarlem , when the work was already cut down<|end-KFI|>. <|start-PI|>The painting is recorded in the inventory of<|end-PI|> <|retri... |
The Magdalen Reading was transferred from its original oak to a mahogany panel ( West Indian swietenia ) by unknown craftsmen sometime between 1828 and when the National Gallery acquired it in 1860 . Campbell states that the transfer was " Certainly after 1828 , probably after 1845 , and certainly before 1860 " , the ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The Magdalen Reading was transferred from its original oak to a mahogany panel ( West Indian swietenia ) by unknown craftsmen sometime between<|end-PI|> <|retrieval|> <|start-KFI|>1828 and when the National Gallery acquired it in 1860<|end-KFI|> . <|start-PI|>Campbell states that the... |
" Rosemary 's Baby " is the fourth episode of the second season of 30 Rock , and the twenty @-@ fifth episode overall . It was written by Jack Burditt and was directed by Michael Engler . The episode first aired on October 25 , 2007 on the NBC network in the United States . Guest stars in this episode include Elijah C... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> \" Rosemary 's Baby \" is the fourth episode of the second season of 30 Rock , and <|end-PI|> <|retrieval|> <|start-KFI|> the twenty @-@ fifth episode overall <|end-KFI|> . <|start-PI|> It was written by <|end-PI|> <|retrieval|> <|start-KFI|> Jack Burditt <|end-KFI|> <|start-PI|> an... |
The episode focuses on Liz Lemon 's ( Tina Fey ) escapade with her idol , Rosemary Howard ( Carrie Fisher ) ; Tracy Jordan 's ( Tracy Morgan ) family problems ; and Jenna Maroney 's ( Jane Krakowski ) attempt to replace Kenneth Parcell 's ( Jack McBrayer ) burnt page jacket . The episode was praised by critics , with ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>The episode focuses on Liz Lemon 's ( Tina Fey ) escapade with<|end-PI|> <|retrieval|> <|start-KFI|>her idol , Rosemary Howard ( Carrie Fisher )<|end-KFI|> ; <|start-PI|>Tracy Jordan 's ( Tracy Morgan )<|end-PI|> <|retrieval|> <|start-KFI|>family problems<|end-KFI|> ; and <|start-PI|... |
Jack Donaghy ( Alec Baldwin ) announces that Liz Lemon is the winner of the " G.E. Followship Award " , a prize awarded to the G.E. employee who best exemplifies a follower , which also includes $ 10 @,@ 000 . Liz takes Pete Hornberger ( Scott Adsit ) to a book signing to meet Rosemary Howard ( Carrie Fisher ) , her i... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Jack Donaghy ( Alec Baldwin ) announces that Liz Lemon is the winner of the<|end-PI|> <|retrieval|> <|start-KFI|>\" G.E. Followship Award \" , a prize awarded to the G.E. employee who best exemplifies a follower , which also includes $ 10 @,@ 000<|end-KFI|>. <|start-PI|>Liz takes Pet... |
When Tracy causes a stir at a public event , Jack assures him that as a movie star , he can do anything he wants , except for dog fighting . Jack finds Tracy disobeying his order , but Tracy shouts that Jack is not his dad . Jack and Tracy meet with an NBC shrink , and Jack role @-@ plays Tracy 's father , Tracy , and... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>When Tracy causes a stir at a public event , Jack assures him that as a movie star , he can do anything he wants , except for<|end-PI|> <|retrieval|> <|start-KFI|>dog fighting<|end-KFI|> . Jack finds Tracy disobeying his order , but Tracy shouts that Jack is not his dad . <|start-PI|... |
Jenna accidentally burns Kenneth 's page jacket on a hot plate , and Kenneth worries that head page Donny Lawson ( Paul Scheer ) will punish him . Jenna finds Donny backstage at the studio , who is ecstatic that he finally has a reason to send Kenneth to CNBC in New Jersey . Donny offers Kenneth a choice : go to New J... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Jenna accidentally burns Kenneth 's page jacket on<|end-PI|> <|retrieval|> <|start-KFI|>a hot plate<|end-KFI|> , and Kenneth worries that head page Donny Lawson ( Paul Scheer ) will punish him . <|start-PI|>Jenna finds Donny backstage at the studio , who is ecstatic that he finally h... |
" Rosemary 's Baby " was mainly filmed on September 11 , 2007 , while Fisher 's scenes were filmed the next day on September 12 , 2007 . Star Wars is frequently referenced in 30 Rock , beginning with the pilot episode where Tracy Jordan is seen shouting that he is a Jedi . Liz Lemon admits to being a huge fan of Star ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> \" Rosemary 's Baby \" was mainly filmed on <|end-PI|> <|retrieval|> <|start-KFI|> September 11 , 2007 , while Fisher 's scenes were filmed the next day on September 12 , 2007 <|end-KFI|> . <|start-PI|> Star Wars is frequently referenced in 30 Rock , beginning with the pilot episode... |
According to the Nielsen ratings system , " Rosemary 's Baby " was viewed by an average of 6 @.@ 5 million American viewers . The episode achieved a 3 @.@ 1 / 8 in key 18 – 49 demographic . The 3 @.@ 1 rating refers to 3 @.@ 1 % of all 18- to 49 @-@ year @-@ olds in the U.S. , and the 8 share refers to 8 % of all 18- ... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>According to the Nielsen ratings system , \" Rosemary 's Baby \" was viewed by an average of<|end-PI|> <|retrieval|> <|start-KFI|>6 @.@ 5 million American viewers<|end-KFI|> . <|start-PI|>The episode achieved<|end-PI|> <|retrieval|> <|start-KFI|>a 3 @.@ 1 / 8 in key 18 – 49 demograph... |
" Rosemary 's Baby " was named as one of the " Top 11 TV Episodes of 2007 " by UGO , and ranked thirteenth on The Futon Critic 's list of " the 50 Best Episodes of 2007 " ; both citing the Baldwin and Morgan therapy scene as the reason . Matt Webb Mitovich of TV Guide declared it as " one of 30 Rock 's best episodes e... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|> \" Rosemary 's Baby \" was named as one of the \" Top 11 TV Episodes of 2007 \" by <|end-PI|> <|retrieval|> <|start-KFI|> UGO <|end-KFI|> , <|start-PI|> and ranked thirteenth on The Futon Critic 's list of \" the 50 Best Episodes of 2007 \" ; both citing <|end-PI|> <|retrieval|> <|s... |
Michael Engler , the director of this episode , was nominated for the Directors Guild of America Award for Outstanding Directing – Comedy Series . This episode also earned Carrie Fisher a Primetime Emmy Award nomination for Outstanding Guest Actress in a Comedy Series and earned Jack Burditt a nomination for Outstandi... | [
{
"content": "You are an AI assistant tasked with analyzing a passage of text to insert retrieval tokens and identify Prefix-intent (PI) and Key Factual Information (KFI). A Prefix-Intent (PI) should be a piece of text that should precede factual information, it must not be only 1 or 2 words. Key Factual Inform... | {
"Updated_Passage": "<|start-PI|>Michael Engler , the director of this episode , was nominated for<|end-PI|> <|retrieval|> <|start-KFI|>the Directors Guild of America Award for Outstanding Directing – Comedy Series<|end-KFI|> . <|start-PI|>This episode also earned Carrie Fisher a Primetime Emmy Award nomination for<... |
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