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Adam Rose made his first appearance in this episode as a suspect ; he would make appearances later in the season as well . From the very beginning of his appearances , Rose 's character , Max , was planned to begin a romantic relationship with Mac ( Tina Majorino ) . Rose was roommates with Michael Mitchell , who play... | [
{
"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|>Adam Rose made his first appearance in this episode as<|end-PI|> <|retrieval|> <|start-KFI|>a suspect ; he would make appearances later in the season as well<|end-KFI|> . <|start-PI|>From the very beginning of his appearances , Rose 's character , Max , was planned to<|end-PI|> <|ret... |
At the time of its initial broadcast , " Hi , Infidelity " was viewed by 2 @.@ 75 million people , ranking 94th out of 97 in the weekly rankings .
| [
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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|>At the time of its initial broadcast , \" Hi , Infidelity \" was viewed by<|end-PI|> <|retrieval|> <|start-KFI|>2 @.@ 75 million people<|end-KFI|> , <|start-PI|>\" Hi , Infidelity \" was viewed by 2 @.@ 75 million people , ranking<|end-PI|> <|retrieval|> <|start-KFI|>94th out of 97 i... |
Eric Goldman of IGN gave the episode a 7 @.@ 8 out of 10 , indicating that it was " good " , but his review was mixed . Comparing it with the rest of the season , he opined that it suffered from some of the same problems of previous episodes . He thought that the actions of many of the characters in " Hi , Infidelity ... | [
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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|>Eric Goldman of IGN gave the episode a<|end-PI|> <|retrieval|> <|start-KFI|>7 @.@ 8 out of 10 , indicating that it was \" good \" , but his review was mixed<|end-KFI|>. <|start-PI|>Comparing it with the rest of the season , he opined that<|end-PI|> <|retrieval|> <|start-KFI|>it suffe... |
Alan Sepinwall praised the episode compared to the first few episodes of the season , writing it balanced Veronica 's character traits well , including her jealousy and generosity . He also wrote that it showed her as a character with some " baser instincts " , giving the scene with Jeff as an example . Rowan Kaiser ,... | [
{
"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|>Alan Sepinwall praised the episode compared to the first few episodes of the season , writing<|end-PI|> <|retrieval|> <|start-KFI|>it balanced Veronica 's character traits well , including her jealousy and generosity<|end-KFI|> . <|start-PI|>He also wrote that it showed her as a char... |
Ceratopsia or Ceratopia ( / ˌsɛrəˈtɒpsiə / or / ˌsɛrəˈtoʊpiə / ; Greek : " horned faces " ) is a group of herbivorous , beaked dinosaurs that thrived in what are now North America , Europe , and Asia , during the Cretaceous Period , although ancestral forms lived earlier , in the Jurassic . The earliest known ceratops... | [
{
"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|>Ceratopsia or Ceratopia ( / ˌsɛrəˈtɒpsiə / or / ˌsɛrəˈtoʊpiə / ; Greek : \" horned faces \" ) is<|end-PI|> <|retrieval|> <|start-KFI|>a group of herbivorous , beaked dinosaurs that thrived in what are now North America , Europe , and Asia , during the Cretaceous Period , although anc... |
Early members of the ceratopsian group , such as Psittacosaurus , were small bipedal animals . Later members , including ceratopsids like Centrosaurus and Triceratops , became very large quadrupeds and developed elaborate facial horns and frills extending over the neck . While these frills might have served to protect... | [
{
"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|>Early members of the ceratopsian group , such as Psittacosaurus , were<|end-PI|> <|retrieval|> <|start-KFI|>small bipedal animals<|end-KFI|> . <|start-PI|>Later members , including ceratopsids like Centrosaurus and Triceratops , became<|end-PI|> <|retrieval|> <|start-KFI|>very large ... |
Triceratops is by far the best @-@ known ceratopsian to the general public . It is traditional for ceratopsian genus names to end in " -ceratops " , although this is not always the case . One of the first named genera was Ceratops itself , which lent its name to the group , although it is considered a nomen dubium tod... | [
{
"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|>Triceratops is by far the best @-@ known ceratopsian to<|end-PI|> <|retrieval|> <|start-KFI|>the general public<|end-KFI|> . <|start-PI|>It is traditional for ceratopsian genus names to end in<|end-PI|> <|retrieval|> <|start-KFI|>\" -ceratops \"<|end-KFI|> , although this is not alwa... |
Ceratopsians are easily recognized by features of the skull . On the tip of a ceratopsian upper jaw is the rostral bone , an edentulous ( toothless ) ossification , unique to ceratopsians . Othniel Charles Marsh recognized and named this bone , which acts as a mirror image of the predentary bone on the lower jaw . Thi... | [
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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|>Ceratopsians are easily recognized by features of the skull . On the tip of a ceratopsian upper jaw is<|end-PI|> <|retrieval|> <|start-KFI|>the rostral bone , an edentulous ( toothless ) ossification , unique to ceratopsians<|end-KFI|> . <|start-PI|>Othniel Charles Marsh recognized a... |
The epoccipital is a distinctive bones found lining the frills of ceratopsians . The name is a misnomer , as they are not associated with the occipital bone . Epoccipitals begin as separate bones that fuse during the animal 's growth to either the squamosal or parietal bones that make up the base of the frill . These ... | [
{
"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 epoccipital is a distinctive bones found lining the frills of<|end-PI|> <|retrieval|> <|start-KFI|>ceratopsians<|end-KFI|> . <|start-PI|>The name is a misnomer , as they are not associated with<|end-PI|> <|retrieval|> <|start-KFI|>the occipital bone<|end-KFI|> . <|start-PI|>Epocc... |
The first ceratopsian remains known to science were discovered during the U.S. Geological and Geographical Survey of the Territories led by the American geologist F.V. Hayden . Teeth discovered during an 1855 expedition to Montana were first assigned to hadrosaurids and included within the genus Trachodon . It was not... | [
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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 first ceratopsian remains known to science were discovered during<|end-PI|> <|retrieval|> <|start-KFI|>the U.S. Geological and Geographical Survey of the Territories led by the American geologist F.V. Hayden<|end-KFI|>. <|start-PI|>Teeth discovered during an 1855 expedition to Mo... |
In 1888 and 1889 , Othniel Charles Marsh described the first well preserved horned dinosaurs , Ceratops and Triceratops . In 1890 Marsh classified them together in the family Ceratopsidae and the order Ceratopsia . This prompted Cope to reexamine his own specimens and to realized that Triceratops , Monoclonius , and 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|>In 1888 and 1889, Othniel Charles Marsh described the first well preserved horned dinosaurs,<|end-PI|> <|retrieval|> <|start-KFI|>Ceratops and Triceratops<|end-KFI|>. <|start-PI|>In 1890 Marsh classified them together in<|end-PI|> <|retrieval|> <|start-KFI|>the family Ceratopsidae an... |
Ceratopsia was coined by Othniel Charles Marsh in 1890 to include dinosaurs possessing certain characteristic features , including horns , a rostral bone , teeth with two roots , fused neck vertebrae , and a forward @-@ oriented pubis . Marsh considered the group distinct enough to warrant its own suborder within Orni... | [
{
"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|>Ceratopsia was coined by Othniel Charles Marsh in 1890 to include dinosaurs possessing certain characteristic features , including<|end-PI|> <|retrieval|> <|start-KFI|>horns , a rostral bone , teeth with two roots , fused neck vertebrae , and a forward @-@ oriented pubis<|end-KFI|> .... |
Following Marsh , Ceratopsia has usually been classified as a suborder within the order Ornithischia . While ranked taxonomy has largely fallen out of favor among dinosaur paleontologists , some researchers have continued to employ such a classification , though sources have differed on what its rank should be . Most ... | [
{
"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 Marsh , Ceratopsia has usually been classified as<|end-PI|> <|retrieval|> <|start-KFI|>a suborder within the order Ornithischia<|end-KFI|> . <|start-PI|>While ranked taxonomy has largely fallen out of favor among dinosaur paleontologists , some researchers have continued to... |
This list of ceratopsian genera by classification and location follows a review by Thomas R. Holtz , Jr. in 2010 .
| [
{
"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|>This list of ceratopsian genera by classification and location follows a review by<|end-PI|> <|retrieval|> <|start-KFI|>Thomas R. Holtz , Jr. in 2010<|end-KFI|> .",
"error": 0,
"results": [
{
"Explanation": "The PI introduces the topic of a review of ceratopsian genera ... |
Torosaurus - ( Wyoming , Montana , South Dakota , North Dakota , & Utah , USA & Saskatchewan , Canada )
| [
{
"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|>Torosaurus - <|end-PI|><|retrieval|><|start-KFI|>( Wyoming , Montana , South Dakota , North Dakota , & Utah , USA & Saskatchewan , Canada )<|end-KFI|>",
"error": 0,
"results": [
{
"Explanation": "The PI introduces Torosaurus and sets up a query about its geographical di... |
Possible ceratopsians from the Southern Hemisphere include the Australian Serendipaceratops , known from an ulna , and Notoceratops from Argentina is known from a single toothless jaw ( which has been lost ) . Craspedodon from the Late Cretaceous ( Santonian ) of Belgium may also be a ceratopsian , specifically a neoc... | [
{
"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|>Possible ceratopsians from the Southern Hemisphere include the Australian Serendipaceratops , known from<|end-PI|> <|retrieval|> <|start-KFI|>an ulna<|end-KFI|> , and <|start-PI|>Notoceratops from Argentina is known from<|end-PI|> <|retrieval|> <|start-KFI|>a single toothless jaw ( w... |
Paleontologists today agree on the overall structure of the ceratopsian family tree , although there are differences on individual taxa . There have been several cladistic studies performed on basal ceratopsians since 2000 . None have used every taxon listed above and many of the differences between the studies are st... | [
{
"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|>Paleontologists today agree on the overall structure of the ceratopsian family tree<|end-PI|> <|retrieval|> <|start-KFI|>although there are differences on individual taxa<|end-KFI|>. <|start-PI|>There have been several cladistic studies performed on basal ceratopsians since<|end-PI|>... |
In clade @-@ based phylogenetic taxonomy , Ceratopsia is often defined to include all marginocephalians more closely related to Triceratops than to Pachycephalosaurus . Under this definition , the most basal known ceratopsians are Yinlong , from the Late Jurassic Period , along with Chaoyangsaurus and the family Psitt... | [
{
"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 clade @-@ based phylogenetic taxonomy , Ceratopsia is often defined to include<|end-PI|> <|retrieval|> <|start-KFI|>all marginocephalians more closely related to Triceratops than to Pachycephalosaurus<|end-KFI|> . <|start-PI|>Under this definition , the most basal known ceratopsia... |
The clade Neoceratopsia includes all ceratopsians more derived than psittacosaurids . Another subset of neoceratopsians is called Coronosauria , which currently includes all ceratopsians more derived than Auroraceratops . Coronosaurs show the first development of the neck frill and the fusion of the first several neck... | [
{
"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 clade Neoceratopsia includes<|end-PI|> <|retrieval|> <|start-KFI|>all ceratopsians more derived than psittacosaurids<|end-KFI|>. <|start-PI|>Another subset of neoceratopsians is called Coronosauria, which currently includes<|end-PI|> <|retrieval|> <|start-KFI|>all ceratopsians mo... |
Andrew Farke and his colleagues in 2014 published a description of a new neoceratopsian , Aquilops americanus , through the peer @-@ reviewed science journal PLOS ONE . They analysed their taxa as well as most other primitive ceratopsians to get a consensus cladogram . They created their own data matrix and through it... | [
{
"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|>Andrew Farke and his colleagues in 2014 published a description of a new neoceratopsian<|end-PI|> <|retrieval|> <|start-KFI|>Aquilops americanus , through the peer @-@ reviewed science journal PLOS ONE<|end-KFI|> . <|start-PI|>They analysed their taxa as well as most other primitive ... |
Their study also found an equal consensus cladogram finding Ajkaceratops not as a neoceratopsian but a protoceratopsid . Nothing else about the cladograms changed .
| [
{
"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|>Their study also found an equal consensus cladogram finding Ajkaceratops<|end-PI|> <|retrieval|> <|start-KFI|>not as a neoceratopsian but a protoceratopsid<|end-KFI|>. Nothing else about the cladograms changed.",
"error": 0,
"results": [
{
"Explanation": "The PI introdu... |
Xu Xing of the Chinese Institute of Vertebrate Paleontology and Paleoanthropology ( IVPP ) in Beijing , along with Peter Makovicky , formerly of the American Museum of Natural History ( AMNH ) in New York City and others , published a cladistic analysis in the 2002 description of Liaoceratops . This analysis is very 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|>Xu Xing of the Chinese Institute of Vertebrate Paleontology and Paleoanthropology ( IVPP ) in Beijing , along with Peter Makovicky , formerly of the American Museum of Natural History ( AMNH ) in New York City and others , published<|end-PI|> <|retrieval|> <|start-KFI|>a cladistic an... |
Brenda Chinnery , formerly of the Museum of the Rockies in Bozeman , Montana , independently described Prenoceratops in 2005 and published a new phylogeny . In 2006 , Makovicky and Mark Norell of the AMNH incorporated Chinnery 's analysis into their own and also added Yamaceratops , although they were not able to incl... | [
{
"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|>Brenda Chinnery , formerly of the Museum of the Rockies in Bozeman , Montana , independently described<|end-PI|> <|retrieval|> <|start-KFI|>Prenoceratops in 2005 and published a new phylogeny<|end-KFI|> . <|start-PI|>In 2006 , Makovicky and Mark Norell of the AMNH incorporated Chinne... |
Chaoyangsaurus is recovered in a more basal position than Psittacosauridae , although Chinnery 's original analysis finds it within Neoceratopsia . Protoceratopsidae is considered to be the sister group of Ceratopsoidea . The fragmentary Asiaceratops was included in these studies and is found to have a variable positi... | [
{
"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|>Chaoyangsaurus is recovered in a more basal position than<|end-PI|> <|retrieval|> <|start-KFI|>Psittacosauridae , although Chinnery 's original analysis finds it within Neoceratopsia<|end-KFI|> . <|start-PI|>Protoceratopsidae is considered to be<|end-PI|> <|retrieval|> <|start-KFI|>t... |
Makovicky 's latest analysis includes IVPP V12722 ( " Xuanhuasaurus " ) , a Late Jurassic ceratopsian from China that , at the time , was awaiting publication , but has since been published as Xuanhuaceratops . Kulceratops and Turanoceratops are considered nomina dubia in this study . Makovicky believes Lamaceratops ,... | [
{
"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|>Makovicky 's latest analysis includes IVPP V12722 ( \" Xuanhuasaurus \" ) , a Late Jurassic ceratopsian from China that , at the time , was awaiting publication , but has since been published as<|end-PI|> <|retrieval|> <|start-KFI|>Xuanhuaceratops<|end-KFI|> . <|start-PI|>Kulceratops... |
You Hailu of Beijing 's Chinese Academy of Geological Sciences , was a co @-@ author with Xu and Makovicky in 2002 but , in 2003 , he and Peter Dodson from the University of Pennsylvania published a separate analysis . The two presented this analysis again in 2004 . In 2005 , You and three others , including Dodson , ... | [
{
"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|>You Hailu of Beijing 's Chinese Academy of Geological Sciences , was a co @-@ author with Xu and Makovicky in<|end-PI|> <|retrieval|> <|start-KFI|>2002<|end-KFI|> but , <|start-PI|>in 2003 , he and Peter Dodson from the University of Pennsylvania published<|end-PI|> <|retrieval|> <|s... |
In contrast to the previous analysis , You and Dodson find Chaoyangsaurus to be the most basal neoceratopsian , more derived than Psittacosaurus , while Leptoceratopsidae , not Protoceratopsidae , is recovered as the sister group of Ceratopsidae . This study includes Auroraceratops , but lacks seven taxa found in Xu 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|>In contrast to the previous analysis , You and Dodson find Chaoyangsaurus to be<|end-PI|> <|retrieval|> <|start-KFI|>the most basal neoceratopsian , more derived than Psittacosaurus<|end-KFI|> , <|start-PI|>while Leptoceratopsidae , not Protoceratopsidae , is recovered as<|end-PI|> <... |
Ceratopsia appears to have originated in Asia , as all of the earliest members are found there . Fragmentary remains , including teeth , which appear to be neoceratopsian , are found in North America from the Albian stage ( 112 to 100 million years ago ) , indicating that the group had dispersed across what is now 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|>Ceratopsia appears to have originated in<|end-PI|> <|retrieval|> <|start-KFI|>Asia , as all of the earliest members are found there<|end-KFI|> . <|start-PI|>Fragmentary remains , including teeth , which appear to be neoceratopsian , are found in North America from<|end-PI|> <|retriev... |
Unlike almost all other dinosaur groups , skulls are the most commonly preserved elements of ceratopsian skeletons and many species are known only from skulls . There is a great deal of variation between and even within ceratopsian species . Complete growth series from embryo to adult are known for Psittacosaurus 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|>Unlike almost all other dinosaur groups , skulls are the most commonly preserved elements of<|end-PI|> <|retrieval|> <|start-KFI|>ceratopsian skeletons and many species are known only from skulls<|end-KFI|> . <|start-PI|>There is a great deal of variation between and even within<|end... |
Psittacosaurus and Protoceratops are the most common dinosaurs in the different Mongolian sediments where they are found . Triceratops fossils are far and away the most common dinosaur remains found in the latest Cretaceous rocks in the western United States , making up as much as 5 / 6ths of the large dinosaur fauna ... | [
{
"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|>Psittacosaurus and Protoceratops are the most common dinosaurs in<|end-PI|> <|retrieval|> <|start-KFI|>the different Mongolian sediments where they are found<|end-KFI|> . <|start-PI|>Triceratops fossils are far and away the most common dinosaur remains found in<|end-PI|> <|retrieval|... |
Some species of ceratopsians , especially Centrosaurus and its relatives , appear to have been gregarious , living in herds . This is suggested by bonebed finds with the remains of many individuals of different ages . Like modern migratory herds , they would have had a significant effect on their environment , as well... | [
{
"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|>Some species of ceratopsians , especially Centrosaurus and its relatives , appear to have been<|end-PI|> <|retrieval|> <|start-KFI|>gregarious , living in herds<|end-KFI|> . <|start-PI|>This is suggested by bonebed finds with<|end-PI|> <|retrieval|> <|start-KFI|>the remains of many i... |
Although ceratopsians are generally considered herbivorous , a few paleontologists , such as Darren Naish and Mark Witton , have speculated online that at least some ceratopsians may have been opportunistically omnivorous .
| [
{
"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 ceratopsians are generally considered<|end-PI|> <|retrieval|> <|start-KFI|>herbivorous<|end-KFI|> , <|start-PI|>a few paleontologists , such as Darren Naish and Mark Witton , have speculated online that<|end-PI|> <|retrieval|> <|start-KFI|>at least some ceratopsians may have... |
Most restorations of ceratopsians show them with erect hindlimbs but semi @-@ sprawling forelimbs , which suggest that they were not fast movers . But Paul and Christiansen ( 2000 ) argued that at least the later ceratopsians had upright forelimbs and the larger species may have been as fast as rhinos , which can run ... | [
{
"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|> Most restorations of ceratopsians show them with erect hindlimbs but semi @-@ sprawling forelimbs , which suggest that <|end-PI|> <|retrieval|> <|start-KFI|> they were not fast movers <|end-KFI|> . But <|start-PI|> Paul and Christiansen ( 2000 ) argued that at least the later cerato... |
A nocturnal lifestyle has been suggested for the primitive ceratopsian Protoceratops . However , comparisons between the scleral rings of Protoceratops and Psittacosaurus and modern birds and reptiles indicate that they may have been cathemeral , active throughout the day at short intervals .
| [
{
"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 nocturnal lifestyle has been suggested for the primitive ceratopsian<|end-PI|> <|retrieval|> <|start-KFI|>Protoceratops<|end-KFI|> . <|start-PI|>However , comparisons between the scleral rings of Protoceratops and Psittacosaurus and modern birds and reptiles indicate that they may ... |
Activity @-@ related bone fractures have been documented in ceratopsians . Periostitis has also been documented in the shoulder blade of a ceratopsian .
| [
{
"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|>Activity @-@ related bone fractures have been documented in<|end-PI|> <|retrieval|> <|start-KFI|>ceratopsians<|end-KFI|> . <|start-PI|>Periostitis has also been documented in the shoulder blade of<|end-PI|> <|retrieval|> <|start-KFI|>a ceratopsian<|end-KFI|> .",
"error": 0,
"resu... |
Truth in Numbers ? Everything , According to Wikipedia is a 2010 American documentary film that explores the history and cultural implications of the online , user @-@ editable encyclopedia Wikipedia . The film considers the question of whether all individuals or just experts should be tasked with editing an encyclope... | [
{
"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|>Truth in Numbers ? Everything , According to Wikipedia is<|end-PI|> <|retrieval|> <|start-KFI|>a 2010 American documentary film that explores the history and cultural implications of the online , user @-@ editable encyclopedia Wikipedia<|end-KFI|> . <|start-PI|>The film considers the... |
The site 's history and background is given , along with commentary from Wikipedia founders Jimmy Wales and Larry Sanger . Commentators that appear in the film include author Howard Zinn , Len Downie of The Washington Post , Bob Schieffer of CBS News , former Encyclopædia Britannica chief Robert McHenry and former Cen... | [
{
"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 site 's history and background is given , along with commentary from <|end-PI|> <|retrieval|> <|start-KFI|> Wikipedia founders Jimmy Wales and Larry Sanger <|end-KFI|> . <|start-PI|> Commentators that appear in the film include <|end-PI|> <|retrieval|> <|start-KFI|> author Howar... |
The long @-@ delayed film premiered at Wikimania 2010 in Gdańsk in July 2010 , and was screened at the Paley Center for Media in New York City in October 2010 . It was shown as part of the Savannah Film Festival on November 3 , 2010 , at Savannah College of Art and Design 's Trustees Theater . Truth in Numbers ? recei... | [
{
"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 long @-@ delayed film premiered at Wikimania 2010 in<|end-PI|> <|retrieval|> <|start-KFI|>Gdańsk in July 2010<|end-KFI|> , <|start-PI|>and was screened at the Paley Center for Media in<|end-PI|> <|retrieval|> <|start-KFI|>New York City in October 2010<|end-KFI|> . <|start-PI|>It ... |
Truth in Numbers ? Everything , According to Wikipedia , an American documentary film , explores the history and cultural implications of Wikipedia . The film presents Wikipedia as a new form of communication and cultural dialog . The directors attempt to answer the question of whether ordinary individuals should be 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|>Truth in Numbers ? Everything , According to Wikipedia , an American documentary film , explores<|end-PI|> <|retrieval|> <|start-KFI|>the history and cultural implications of Wikipedia<|end-KFI|> . The film presents Wikipedia as a new form of communication and cultural dialog . <|sta... |
Journalism and media commentators who appear and are interviewed in the film include author Howard Zinn ; Len Downie , ( executive editor of The Washington Post ) ; Bob Schieffer ( CBS News ) ; Robert McHenry ( former chief of Encyclopædia Britannica ) ; James Woolsey ( former director of the Central Intelligence Agen... | [
{
"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|>Journalism and media commentators who appear and are interviewed in the film include<|end-PI|> <|retrieval|> <|start-KFI|>author Howard Zinn ; Len Downie , ( executive editor of The Washington Post ) ; Bob Schieffer ( CBS News ) ; Robert McHenry ( former chief of Encyclopædia Britann... |
The idea for the film originated from a suggestion by Michael Ferris Gibson , who had made the 2005 documentary 24 Hours on Craigslist . Gibson , a producer on the film , met with co @-@ director Nic Hill . Gibson financed Hill 's travels while making the film . The working title for the film was Truth in Numbers : 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|>The idea for the film originated from a suggestion by<|end-PI|> <|retrieval|> <|start-KFI|>Michael Ferris Gibson , who had made the 2005 documentary 24 Hours on Craigslist<|end-KFI|> . <|start-PI|>Gibson , a producer on the film , met with co @-@ director<|end-PI|> <|retrieval|> <|st... |
Filming started in August 2006 at the Wikimania 2006 conference , and by April 2007 the team had aggregated 100 hours of footage . Co @-@ director Hill accompanied Wales during 2007 , filming him as he journeyed around the globe . Hill took a two @-@ person film crew and traveled to China , Indonesia , India , South 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|>Filming started in August 2006 at<|end-PI|> <|retrieval|> <|start-KFI|>the Wikimania 2006 conference<|end-KFI|>, and <|start-PI|>by April 2007 the team had aggregated<|end-PI|> <|retrieval|> <|start-KFI|>100 hours of footage<|end-KFI|>. <|start-PI|>Co-director Hill accompanied Wales ... |
Eric Koretz served as director of photography ; he joined the team during a shift in focus in January 2008 . Koretz used a Panasonic AG @-@ HPX500 P2 HD camcorder . He commented to industry publication Videography about the choice of technique , that due to the intensity of the production team 's travel schedule tape ... | [
{
"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|>Eric Koretz served as director of photography ; he joined the team during<|end-PI|> <|retrieval|> <|start-KFI|>a shift in focus in January 2008<|end-KFI|> . <|start-PI|>Koretz used<|end-PI|> <|retrieval|> <|start-KFI|>a Panasonic AG @-@ HPX500 P2 HD camcorder<|end-KFI|> . <|start-PI|... |
Glosserman and the rest of the production team met together to put together a focus for the film ; they centered their efforts on answering the question : " How does Wikipedia get at the truth ? " They also wanted to provide information for everyday individuals wanting to know about Wikipedia 's background and functio... | [
{
"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|>Glosserman and the rest of the production team met together to put together a focus for the film ; they centered their efforts on answering the question :<|end-PI|> <|retrieval|> <|start-KFI|>\" How does Wikipedia get at the truth ? \"<|end-KFI|> <|start-PI|>They also wanted to provi... |
The release for the film was originally planned for 2007 , then 2008 and 2009 , before its 2010 release . Clips of the film were shown at Wikimania 2007 in Taipei prior to its completion . Editors in the audience had mixed views on the film . In 2008 , footage from the film was used in an official fundraising video by... | [
{
"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 release for the film was originally planned for<|end-PI|> <|retrieval|> <|start-KFI|>2007 , then 2008 and 2009 , before its 2010 release<|end-KFI|> . <|start-PI|>Clips of the film were shown at Wikimania 2007 in<|end-PI|> <|retrieval|> <|start-KFI|>Taipei prior to its completion<... |
The film was screened at the Paley Center for Media in New York City on October 20 , 2010 . It was shown in conjunction with the Robert M. Batscha University Seminar Series . The Paley Center screening included an online streaming broadcast — the first simultaneous film screening and panel question @-@ and @-@ answer ... | [
{
"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 film was screened at the Paley Center for Media in New York City on<|end-PI|> <|retrieval|> <|start-KFI|>October 20 , 2010<|end-KFI|> . <|start-PI|>It was shown in conjunction with the<|end-PI|> <|retrieval|> <|start-KFI|>Robert M. Batscha University Seminar Series<|end-KFI|> . <... |
The film was screened at the Savannah Film Festival on November 3 , 2010 , at Savannah College of Art and Design 's Trustees Theater . It was scheduled for a limited theatrical release in the United States on November 30 , 2010 .
| [
{
"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 film was screened at the Savannah Film Festival on<|end-PI|> <|retrieval|> <|start-KFI|>November 3 , 2010 , at Savannah College of Art and Design 's Trustees Theater<|end-KFI|> . <|start-PI|>It was scheduled for a limited theatrical release in the United States on<|end-PI|> <|ret... |
Wales wrote favorably about the film in 2007 during its production , and noted , " Director Nic Hill is making what looks to be a fabulous film about Wikipedia and Wikipedians worldwide . " However , Wales commented negatively about the delayed release , in a statement to PRNewser . He said the movie was dated due to ... | [
{
"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|>Wales wrote favorably about the film in 2007 during its production , and noted ,<|end-PI|> <|retrieval|> <|start-KFI|>\" Director Nic Hill is making what looks to be a fabulous film about Wikipedia and Wikipedians worldwide . \"<|end-KFI|> However , <|start-PI|>Wales commented negati... |
Daniel D 'Addario reviewed Truth in Numbers ? Everything , According to Wikipedia for the AOL Inc. publication , Urlesque . D 'Addario commented , " the film raises interesting questions about authority , only somewhat intentionally . " He noted the dated bits observing , " Truth in Numbers ? may well be coming too 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": "<|start-PI|>Daniel D 'Addario reviewed Truth in Numbers ? Everything , According to Wikipedia for<|end-PI|> <|retrieval|> <|start-KFI|>the AOL Inc. publication , Urlesque<|end-KFI|>. <|start-PI|>D 'Addario commented ,<|end-PI|> <|retrieval|> <|start-KFI|>\" the film raises interesting questions ... |
In his review for the Savannah Film Festival , Carlos Serrano of District wrote that though the subject matter covered a lot of ground , it utilized an efficient presentation : " Sounds like a lot to put in to one movie , but the film manages to make good use of its 85 minute running time . " Serrano commented on 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|>In his review for the Savannah Film Festival , Carlos Serrano of District wrote that though the subject matter covered a lot of ground , it utilized<|end-PI|> <|retrieval|> <|start-KFI|>an efficient presentation : \" Sounds like a lot to put in to one movie , but the film manages to ... |
The Hope Highway , also known as the Hope Road Turnoff , is a Forest Highway located in the Kenai Peninsula Borough , in the U.S. state of Alaska . The highway connects the city of Hope to the Seward Highway , and travels through 17 miles ( 27 km ) of the Chugach National Forest . The road passes the ghost town of Sun... | [
{
"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 Hope Highway , also known as the Hope Road Turnoff , is a Forest Highway located in<|end-PI|> <|retrieval|> <|start-KFI|>the Kenai Peninsula Borough , in the U.S. state of Alaska<|end-KFI|> . <|start-PI|>The highway connects the city of Hope to<|end-PI|> <|retrieval|> <|start-KFI... |
The Hope Highway begins at an intersection with the Seward Highway ( AK @-@ 1 ) , inside Chugach National Forest . The highway proceeds north , traveling through several miles of pine forest , in a valley in the Kenai Mountain range . The highway passes alongside the Resurrection Creek , which was the source for the 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 Hope Highway begins at an intersection with<|end-PI|> <|retrieval|> <|start-KFI|>the Seward Highway ( AK @-@ 1 ) , inside Chugach National Forest<|end-KFI|> . <|start-PI|>The highway proceeds north , traveling through<|end-PI|> <|retrieval|> <|start-KFI|>several miles of pine for... |
Traffic on the Hope Highway is very low , with the highest traffic count being just over 400 vehicles daily , at its intersection with the Seward Highway . The daily average vehicle count for the highway is just under 300 .
| [
{
"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|> Traffic on the Hope Highway is very low , with the highest traffic count being <|end-PI|> <|retrieval|> <|start-KFI|> just over 400 vehicles daily , at its intersection with the Seward Highway <|end-KFI|> . <|start-PI|> The daily average vehicle count for the highway is <|end-PI|> <... |
The Hope Highway was first established in 1928 . The original highway connected the city of Hope to Moose Pass , which then took people to Anchorage via the Alaska Railroad . The Seward Highway was completed in 1951 , which allowed travelers to get to Hope without having to transport their vehicle on a train . The hig... | [
{
"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 Hope Highway was first established in<|end-PI|> <|retrieval|> <|start-KFI|>1928<|end-KFI|> . <|start-PI|>The original highway connected the city of Hope to<|end-PI|> <|retrieval|> <|start-KFI|>Moose Pass , which then took people to Anchorage via the Alaska Railroad<|end-KFI|> . <... |
The Old Hope Highway is a short , historic route of the Hope Highway located in the city of Hope . The road is just 0 @.@ 259 miles ( 0 @.@ 417 km ) long , and connects the Hope Highway to the central region of Hope . The road has an unpaved , gravel surface , and passes several small businesses and homes located in H... | [
{
"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 Old Hope Highway is a short , historic route of the Hope Highway located in<|end-PI|> <|retrieval|> <|start-KFI|>the city of Hope<|end-KFI|> . <|start-PI|>The road is just<|end-PI|> <|retrieval|> <|start-KFI|>0 @.@ 259 miles ( 0 @.@ 417 km ) long<|end-KFI|> , and connects the Hop... |
Super Mario Land is a 1989 side @-@ scrolling platform video game , the first in the Super Mario Land series , developed and published by Nintendo as a launch title for their Game Boy handheld game console . In gameplay similar to that of the 1985 Super Mario Bros. , but resized for the smaller device 's screen , 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|>Super Mario Land is a 1989 side @-@ scrolling platform video game , the first in the Super Mario Land series , developed and published by Nintendo as<|end-PI|> <|retrieval|> <|start-KFI|>a launch title for their Game Boy handheld game console<|end-KFI|> . <|start-PI|>In gameplay simi... |
At Nintendo CEO Hiroshi Yamauchi 's request , Game Boy creator Gunpei Yokoi 's Nintendo R & D1 developed a Mario game to sell the new console . It was the first portable version of Mario and the first to be made without Mario creator and Yokoi protégé Shigeru Miyamoto . Accordingly , the development team shrunk Mario ... | [
{
"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 Nintendo CEO Hiroshi Yamauchi's request, Game Boy creator Gunpei Yokoi's Nintendo R & D1 developed<|end-PI|> <|retrieval|> <|start-KFI|>a Mario game to sell the new console<|end-KFI|>. <|start-PI|>It was the first portable version of Mario and the first to be made without<|end-PI|... |
Initial reviews were laudatory . Reviewers were satisfied with the smaller Super Mario Bros. , but noted its short length . They considered it among the best of the Game Boy launch titles . The handheld console became an immediate success and Super Mario Land ultimately sold over 18 million copies , more than that 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|>Initial reviews were laudatory . Reviewers were satisfied with the smaller Super Mario Bros. , but noted<|end-PI|> <|retrieval|> <|start-KFI|>its short length<|end-KFI|> . <|start-PI|>They considered it among<|end-PI|> <|retrieval|> <|start-KFI|>the best of the Game Boy launch titles... |
As a side @-@ scrolling platform game and the first in the Super Mario Land series , Super Mario Land is similar in gameplay to its forebears : as Mario , the player advances to the end of the level by moving to the right and jumping across platforms to avoid enemies and pitfalls . In Super Mario Land , Mario travels ... | [
{
"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|>As a side @-@ scrolling platform game and the first in the Super Mario Land series , Super Mario Land is similar in gameplay to its forebears :<|end-PI|> <|retrieval|> <|start-KFI|>as Mario , the player advances to the end of the level by moving to the right and jumping across platfo... |
Unlike other Mario games , which take place in the Mushroom Kingdom , Super Mario Land is set in Sarasaland and drawn in line art . Mario pursues Princess Daisy , in her debut , rather than the series standard damsel in distress , Princess Peach . Koopa shells explode rather than slide , Mario throws bouncing balls ra... | [
{
"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|>Unlike other Mario games , which take place in the Mushroom Kingdom , Super Mario Land is set in<|end-PI|> <|retrieval|> <|start-KFI|>Sarasaland and drawn in line art<|end-KFI|> . <|start-PI|>Mario pursues Princess Daisy , in her debut , rather than the series standard damsel in dist... |
Super Mario Land was developed by Nintendo R & D1 and published by Nintendo in 1989 as a launch title for their Game Boy handheld console . Nintendo CEO Hiroshi Yamauchi believed that fun games sold consoles , so when the company created the Game Boy handheld console , he wanted a fun game that would feature Nintendo ... | [
{
"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|>Super Mario Land was developed by Nintendo R & D1 and published by Nintendo in<|end-PI|> <|retrieval|> <|start-KFI|>1989 as a launch title for their Game Boy handheld console<|end-KFI|>. <|start-PI|>Nintendo CEO Hiroshi Yamauchi believed that fun games sold consoles , so when the com... |
Absent Miyamoto 's direction , the development team used elements new and inconsistent with the series as Super Mario Land shrunk elements of the series to fit the portable device 's small screen . Yokoi , the head of R & D1 , served as producer , and Satoru Okada served as director . They had previously developed Met... | [
{
"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|>Absent Miyamoto's direction, the development team used elements<|end-PI|> <|retrieval|> <|start-KFI|>new and inconsistent with the series as Super Mario Land shrunk elements of the series to fit the portable device's small screen<|end-KFI|>. <|start-PI|>Yokoi, the head of R & D1, ser... |
The Game Boy was released in Japan in April 1989 , North America in July , and Europe in September 1990 , and Super Mario Land was a launch title . The game 's official first released was on April 21 , 1989 , in Japan , and its North American release followed in August . About 22 years later , Super Mario Land was rel... | [
{
"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 Boy was released in Japan in April 1989 , North America in July , and Europe in<|end-PI|> <|retrieval|> <|start-KFI|>September 1990<|end-KFI|> , and Super Mario Land was a launch title . The game 's official first released was on April 21 , 1989 , in Japan , and its North Am... |
Critics saw Super Mario Land as a " smaller " and shorter version of Super Mario Bros. IGN 's Lucas Thomas wrote that the protagonist , enemies , and overall game were shorter , and noted that Mario himself was just 12 pixels in height on the Game Boy 's small screen . With this in mind , Thomas was concerned about pl... | [
{
"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|>Critics saw Super Mario Land as a \" smaller \" and shorter version of Super Mario Bros.<|end-PI|> <|retrieval|> <|start-KFI|>IGN 's Lucas Thomas wrote that the protagonist , enemies , and overall game were shorter , and noted that Mario himself was just 12 pixels in height on the Ga... |
Complex 's Gus Turner wrote that the game had the fun , intuitiveness , and difficulty associated with the series , and Tony Mott of Superplay said the game proved that Nintendo 's Game Boy " had playability to match " its competitors . Matt Regan of Mean Machines agreed : " Playability to the nth degree ! " British m... | [
{
"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|>Complex's Gus Turner wrote that the game had<|end-PI|> <|retrieval|> <|start-KFI|>the fun, intuitiveness, and difficulty associated with the series<|end-KFI|>, and <|start-PI|>Tony Mott of Superplay said the game proved that Nintendo's Game Boy<|end-PI|> <|retrieval|> <|start-KFI|>ha... |
Following the Game Boy 's " overnight success " , Super Mario Land sold over 18 million copies — more than that of Super Mario Bros. 3 .
| [
{
"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 the Game Boy 's \" overnight success \" , Super Mario Land sold over<|end-PI|> <|retrieval|> <|start-KFI|>18 million copies — more than that of Super Mario Bros. 3<|end-KFI|>.",
"error": 0,
"results": [
{
"Explanation": "The PI sets up the context of the Game ... |
The game begot a Super Mario Land series of portable Mario games . Super Mario Land 2 : 6 Golden Coins added a non @-@ linear overworld and introduced Wario , an evil version of Mario , as the game 's villain . The subsequent Wario Land : Super Mario Land 3 began the Wario franchise . After 19 years , the 2011 title 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 game begot a Super Mario Land series of<|end-PI|> <|retrieval|> <|start-KFI|>portable Mario games<|end-KFI|>. <|start-PI|>Super Mario Land 2 : 6 Golden Coins added<|end-PI|> <|retrieval|> <|start-KFI|>a non @-@ linear overworld and introduced Wario , an evil version of Mario , as... |
Super Mario Land is remembered for its miniaturized Super Mario elements and " twist on just about every Mario mainstay imaginable " . Many of its new elements did not recur later in the series , making Super Mario Land strange compared to the rest of the series , or what IGN 's Thomas described as a " singular oddbal... | [
{
"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|>Super Mario Land is remembered for its miniaturized Super Mario elements and<|end-PI|> <|retrieval|> <|start-KFI|>\" twist on just about every Mario mainstay imaginable \"<|end-KFI|>. <|start-PI|>Many of its new elements did not recur later in the series , making Super Mario Land<|en... |
Eurogamer 's Schilling wrote that Mario felt different — lighter , with more friction — and that the game felt " radical and distinctive " for the risks it took . IGN 's Thomas cited " out of place " gameplay elements like the shooter levels , exploding Koopa shells , non @-@ extinguishing fireballs , and non @-@ Prin... | [
{
"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|>Eurogamer's Schilling wrote that Mario felt different — lighter, with more friction — and that the game felt<|end-PI|> <|retrieval|> <|start-KFI|>\"radical and distinctive\" for the risks it took<|end-KFI|>. <|start-PI|>IGN's Thomas cited \"out of place\" gameplay elements like<|end-... |
The game was included in multiple rankings of top Game Boy games , and Official Nintendo Magazine listed it at 73 in its top 100 Nintendo games . After her debut in Super Mario Land , Princess Daisy reaffiliated as Luigi 's girlfriend and appears in later Mario series sports and racing games .
| [
{
"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 was included in multiple rankings of top Game Boy games , and Official Nintendo Magazine listed it at <|end-PI|> <|retrieval|> <|start-KFI|> 73 in its top 100 Nintendo games <|end-KFI|> . <|start-PI|> After her debut in Super Mario Land , Princess Daisy reaffiliated as <|en... |
Stop ! ! Hibari @-@ kun ! ( ストップ ! ! ひばりくん ! , Sutoppu ! ! Hibari @-@ kun ! ) is a Japanese manga series written and illustrated by Hisashi Eguchi . It was serialized in Weekly Shōnen Jump from October 1981 to November 1983 , and the chapters were published in four tankōbon volumes by Shueisha from November 1982 to Ja... | [
{
"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|>Stop ! ! Hibari @-@ kun ! ( ストップ ! ! ひばりくん ! , Sutoppu ! ! Hibari @-@ kun ! ) is a Japanese manga series written and illustrated by<|end-PI|> <|retrieval|> <|start-KFI|>Hisashi Eguchi<|end-KFI|> . <|start-PI|>It was serialized in Weekly Shōnen Jump from<|end-PI|> <|retrieval|> <|star... |
Eguchi wanted to create a romantic comedy manga where the main female character is a cross @-@ dressing boy so as to poke fun at the genre . He took more time to draw the chapters compared to his earlier manga , and as the serialization continued , he found it increasingly difficult to keep up a weekly pace for the ch... | [
{
"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|>Eguchi wanted to create a romantic comedy manga where the main female character is<|end-PI|> <|retrieval|> <|start-KFI|>a cross-dressing boy so as to poke fun at the genre<|end-KFI|>. <|start-PI|>He took more time to draw the chapters compared to his earlier manga, and as the seriali... |
Stop ! ! Hibari @-@ kun ! has been described as achieving a dizzying reality with Hibari by contrasting a girlish exterior with a male interior . The series has been praised for its overall light and pop literary style , and the delicate touch in how Hibari is drawn has been described as so attractive that it makes 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|>Stop ! ! Hibari @-@ kun ! has been described as achieving a dizzying reality with Hibari by<|end-PI|> <|retrieval|> <|start-KFI|>contrasting a girlish exterior with a male interior<|end-KFI|> . <|start-PI|>The series has been praised for its overall<|end-PI|> <|retrieval|> <|start-KF... |
Stop ! ! Hibari @-@ kun ! follows Kōsaku Sakamoto , a high school student whose mother tells him on her deathbed to live with her friend and yakuza boss Ibari Ōzora and his family in Tokyo after she dies . Although Kōsaku is initially unsure about his situation , he is relieved when he meets Ibari 's four children : 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|>Stop ! ! Hibari @-@ kun ! follows Kōsaku Sakamoto , a high school student whose mother tells him on her deathbed to<|end-PI|> <|retrieval|> <|start-KFI|>live with her friend and yakuza boss Ibari Ōzora and his family in Tokyo after she dies<|end-KFI|> . Although Kōsaku is initially u... |
At the start of the new school year , Hibari is scouted to join the girl 's volleyball team after the captain , Jun Ōtori , witnesses Hibari 's athletic prowess . Although Hibari refuses , Jun continues to pursue Hibari until Jun is overwhelmed by Hibari 's superhuman ability to spike the ball . After Kaori and her fr... | [
{
"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 the start of the new school year, Hibari is scouted to join the girl's volleyball team after the captain, Jun Ōtori, witnesses<|end-PI|> <|retrieval|> <|start-KFI|>Hibari's athletic prowess<|end-KFI|>. <|start-PI|>Although Hibari refuses, Jun continues to pursue Hibari until Jun i... |
When Kōsaku is out jogging one day , he helps out a girl named Sayuri Kōenji who was being harassed by three guys from the Kokuryū High School boxing club , although Hibari deals with them before Kōsaku can do anything . Despite this , Sayuri is instantly enamored by Kōsaku and hires a detective to find out more about... | [
{
"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 Kōsaku is out jogging one day , he helps out a girl named<|end-PI|> <|retrieval|> <|start-KFI|>Sayuri Kōenji who was being harassed by three guys from the Kokuryū High School boxing club<|end-KFI|> , although Hibari deals with them before Kōsaku can do anything . Despite this , ... |
Kōsaku Sakamoto ( 坂本 耕作 , Sakamoto Kōsaku ) is the protagonist of Stop ! ! Hibari @-@ kun ! ! and is originally from Kumamoto.Ch. 33 He is a pure @-@ hearted high school student who constantly refuses Hibari 's advances toward him , Ch . 2 , 3 , 10 , 17 but as time goes on , he becomes increasingly concerned that he 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|>Kōsaku Sakamoto ( 坂本 耕作 , Sakamoto Kōsaku ) is the protagonist of Stop ! ! Hibari @-@ kun ! ! and is originally from<|end-PI|> <|retrieval|> <|start-KFI|>Kumamoto<|end-KFI|>.Ch. 33 <|start-PI|>He is a pure @-@ hearted high school student who constantly refuses Hibari 's advances towa... |
Hibari Ōzora ( 大空 ひばり , Ōzora Hibari ) is the titular character of Stop ! ! Hibari @-@ kun ! ! . Hibari is a high school student assigned male at birth who looks and behaves as a girl , much to Ibari 's dismay.Ch. 2 , 4 , 8 Hibari prefers being referred to as Ibari 's daughter , Ch . 6 , 8 , 15 and has expressed an 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|>Hibari Ōzora ( 大空 ひばり , Ōzora Hibari ) is the titular character of<|end-PI|> <|retrieval|> <|start-KFI|>Stop ! ! Hibari @-@ kun ! !<|end-KFI|> . <|start-PI|>Hibari is a high school student assigned male at birth who<|end-PI|> <|retrieval|> <|start-KFI|>looks and behaves as a girl , m... |
Ibari Ōzora ( 大空 いばり , Ōzora Ibari ) is the boss of the Ōzora Group , a yakuza organization.Ch. 1 As the father of Tsugumi , Tsubame , Hibari and Suzume , he wants the Ōzora Group to be family @-@ oriented.Ch. 4 Ibari is extremely distressed by Hibari 's usual behavior , partly because Hibari is his only choice to inh... | [
{
"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|>Ibari Ōzora ( 大空 いばり , Ōzora Ibari ) is the boss of<|end-PI|> <|retrieval|> <|start-KFI|>the Ōzora Group , a yakuza organization<|end-KFI|>.Ch. 1 <|start-PI|>As the father of Tsugumi , Tsubame , Hibari and Suzume , he wants the Ōzora Group to be<|end-PI|> <|retrieval|> <|start-KFI|>f... |
Tsugumi Ōzora ( 大空 つぐみ , Ōzora Tsugumi ) is the eldest daughter who has acted as a motherly figure to her family after their mother died . She dropped out of art school in her second year and became a professional illustrator.Ch. 31 Tsugumi is voiced by Fumi Hirano .
| [
{
"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|>Tsugumi Ōzora ( 大空 つぐみ , Ōzora Tsugumi ) is the eldest daughter who has acted as<|end-PI|> <|retrieval|> <|start-KFI|>a motherly figure to her family after their mother died<|end-KFI|>. <|start-PI|>She dropped out of art school in her second year and became<|end-PI|> <|retrieval|> <|... |
Tsubame Ōzora ( 大空 つばめ , Ōzora Tsubame ) is the second daughter and is two years older than Hibari . Like her father , Tsubame is against Hibari acting as a girl , Ch . 5 , 7 and constantly gets mad at Hibari for wearing her clothes , Ch . 4 , 23 , 44 although Tsubame sometimes wears Hibari 's clothes , too.Ch. 6 Tsub... | [
{
"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|>Tsubame Ōzora ( 大空 つばめ , Ōzora Tsubame ) is the second daughter and is<|end-PI|> <|retrieval|> <|start-KFI|>two years older than Hibari<|end-KFI|> . <|start-PI|>Like her father , Tsubame is against Hibari acting as a girl ,<|end-PI|> <|retrieval|> <|start-KFI|>Ch . 5 , 7<|end-KFI|> <... |
Suzume Ōzora ( 大空 すずめ , Ōzora Suzume ) is the youngest daughter and is a precocious elementary school student.Ch. 14 , 19 , 48 She is scared of flat @-@ faced men.Ch. 4 , 28 Suzume is voiced by Tomiko Suzuki .
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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|>Suzume Ōzora ( 大空 すずめ , Ōzora Suzume ) is<|end-PI|> <|retrieval|> <|start-KFI|>the youngest daughter and is a precocious elementary school student<|end-KFI|>.Ch. 14 , 19 , 48 <|start-PI|>Suzume is scared of<|end-PI|> <|retrieval|> <|start-KFI|>flat @-@ faced men<|end-KFI|>.Ch. 4 , 28... |
Sabu ( サブ ) is a member of the Ōzora Group . He is in love with Tsugumi.Ch. 32 Sabu is voiced by Norio Wakamoto .
| [
{
"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|>Sabu ( サブ ) is a member of<|end-PI|> <|retrieval|> <|start-KFI|>the Ōzora Group<|end-KFI|>. <|start-PI|>He is in love with<|end-PI|> <|retrieval|> <|start-KFI|>Tsugumi<|end-KFI|>.Ch. 32 <|start-PI|>Sabu is voiced by<|end-PI|> <|retrieval|> <|start-KFI|>Norio Wakamoto<|end-KFI|>.",
... |
Seiji ( 政二 ) is a member of the Ōzora Group . He looks scary , but he has a timid personality.Ch. 2 , 4 , 18 He scares Kōsaku awake in the mornings.Ch. 6 , 9 , 20 Seiji is voiced by Toku Nishio .
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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|>Seiji ( 政二 ) is a member of<|end-PI|> <|retrieval|> <|start-KFI|>the Ōzora Group<|end-KFI|> . <|start-PI|>He looks scary , but he has<|end-PI|> <|retrieval|> <|start-KFI|>a timid personality<|end-KFI|>.Ch. 2 , 4 , 18 <|start-PI|>He scares Kōsaku awake<|end-PI|> <|retrieval|> <|start-... |
Makoto Shiina ( 椎名 まこと , Shiina Makoto ) is Kōsaku 's classmate who likes Hibari.Ch. 3 , 12 He is a member of the boxing club , and initially hates Kōsaku for earning Hibari 's affection , Ch . 8 but as the series progresses , the two become friends.Ch. 38 Shiina is voiced by Katsuji Mori .
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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|>Makoto Shiina ( 椎名 まこと , Shiina Makoto ) is<|end-PI|> <|retrieval|> <|start-KFI|>Kōsaku 's classmate who likes Hibari<|end-KFI|>.Ch. 3 , 12 <|start-PI|>He is a member of<|end-PI|> <|retrieval|> <|start-KFI|>the boxing club<|end-KFI|> , and <|start-PI|>initially hates Kōsaku for<|end-... |
Rie Kawai ( 可愛 理絵 , Kawai Rie ) is a normal girl with a gentle personality who is attracted to Shiina.Ch. 12 She joined the boxing club as a manager because of him.Ch. 17 She leaves the boxing club when she learns Shiina likes Hibari , Ch . 30 but she rejoins the club after she gets over him.Ch. 50 Rie is voiced by Hi... | [
{
"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|>Rie Kawai ( 可愛 理絵 , Kawai Rie ) is<|end-PI|> <|retrieval|> <|start-KFI|>a normal girl with a gentle personality who is attracted to Shiina<|end-KFI|>.Ch. 12 <|start-PI|>She joined the boxing club as<|end-PI|> <|retrieval|> <|start-KFI|>a manager because of him<|end-KFI|>.Ch. 17 <|sta... |
Mitsuo Kaji ( 梶 みつを , Kaji Mitsuwo ) is one of Tsubame 's classmates and is the boxing club captain.Ch. 10 , 13 He is an overbearing guy and is very pushy towards Tsubame whom he likes.Ch. 13 , 18 His family members have the same face as him.Ch. 18 He is voiced by Kōzō Shioya .
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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|>Mitsuo Kaji ( 梶 みつを , Kaji Mitsuwo ) is<|end-PI|> <|retrieval|> <|start-KFI|>one of Tsubame 's classmates and is the boxing club captain<|end-KFI|>.Ch. 10 , 13 <|start-PI|>He is an overbearing guy and is<|end-PI|> <|retrieval|> <|start-KFI|>very pushy towards Tsubame whom he likes<|e... |
Kaori Hanazono ( 花園 かおり , Hanzono Kaori ) is Kōsaku 's classmate.Ch. 23 She is jealous of Hibari 's popularity at school , Ch . 6 and takes pride in her devious personality.Ch. 7 , 27 Along with her three friends , they try to embarrass Hibari.Ch. 24 , 27 Kaori is voiced by Seiko Nakano .
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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|>Kaori Hanazono ( 花園 かおり , Hanzono Kaori ) is<|end-PI|> <|retrieval|> <|start-KFI|>Kōsaku 's classmate<|end-KFI|>.Ch. 23 <|start-PI|>She is jealous of Hibari 's<|end-PI|> <|retrieval|> <|start-KFI|>popularity at school<|end-KFI|> , Ch . 6 and takes pride in her devious personality.Ch.... |
Sayuri Kōenji ( 高円寺 さゆり , Kōenji Sayuri ) is a rich girl one year younger than Kōsaku.Ch. 50 She falls in love easily and will do anything she can to bring her love to fruition . When something surprises her , she composes a haiku.Ch. 43 Sayuri is voiced by Yuriko Yamamoto .
| [
{
"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|>Sayuri Kōenji ( 高円寺 さゆり , Kōenji Sayuri ) is a rich girl<|end-PI|> <|retrieval|> <|start-KFI|>one year younger than Kōsaku<|end-KFI|>.Ch. 50 <|start-PI|>She falls in love easily and will do anything she can to<|end-PI|> <|retrieval|> <|start-KFI|>bring her love to fruition<|end-KFI|>... |
Stop ! ! Hibari @-@ kun ! is written and illustrated by Hisashi Eguchi . Following the conclusion of his manga Hinomaru Gekijō ( ひのまる劇場 ) in 1981 , Eguchi wanted to go against the notion at the time that there was currently a golden age of romantic comedy manga in shōnen manga magazines . In response , Eguchi thought ... | [
{
"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|>Stop ! ! Hibari @-@ kun ! is written and illustrated by<|end-PI|> <|retrieval|> <|start-KFI|>Hisashi Eguchi<|end-KFI|> . <|start-PI|>Following the conclusion of his manga Hinomaru Gekijō ( ひのまる劇場 ) in 1981 , Eguchi wanted to go against<|end-PI|> <|retrieval|> <|start-KFI|>the notion ... |
Eguchi had often rushed when drawing his earlier manga Susume ! ! Pirates ( すすめ ! ! パイレーツ ) , but starting with Stop ! ! Hibari @-@ kun ! , he raised the standards he held for his art and had to began taking more time to draw the chapters . In addition , Eguchi was very particular about the appearance of his manuscrip... | [
{
"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|>Eguchi had often rushed when drawing his earlier manga Susume ! ! Pirates ( すすめ ! ! パイレーツ ) , but starting with Stop ! ! Hibari @-@ kun ! , he<|end-PI|> <|retrieval|> <|start-KFI|>raised the standards he held for his art and had to began taking more time to draw the chapters<|end-KFI... |
Stop ! ! Hibari @-@ kun ! was serialized in the manga magazine Weekly Shōnen Jump from the October 19 , 1981 issue to the November 28 , 1983 issue . The individual chapters were collected and published in four tankōbon volumes by Shueisha from November 1982 to January 1984 . Inspired by Katsuhiro Otomo , Eguchi fought... | [
{
"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|>Stop ! ! Hibari @-@ kun ! was serialized in the manga magazine Weekly Shōnen Jump from<|end-PI|> <|retrieval|> <|start-KFI|>the October 19 , 1981 issue to the November 28 , 1983 issue<|end-KFI|>. <|start-PI|>The individual chapters were collected and published in four tankōbon volume... |
Starting in 2009 , Eguchi began working with Shogakukan on releasing a Stop ! ! Hibari @-@ kun ! Complete Edition omnibus collection , which features various revisions to the originally published chapters in addition to newly drawn cover art . Not wanting to end the Complete Edition with an abrupt conclusion like he h... | [
{
"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|>Starting in 2009, Eguchi began working with Shogakukan on releasing a Stop!! Hibari-kun! Complete Edition omnibus collection, which features<|end-PI|> <|retrieval|> <|start-KFI|>various revisions to the originally published chapters in addition to newly drawn cover art<|end-KFI|>. <|... |
A 35 @-@ episode anime television series adaptation , produced by Toei Animation and directed by Takashi Hisaoka . It aired from May 20 , 1983 to January 27 , 1984 on Fuji Television . The screenplay was written by : Shigeru Yanagawa , Tokio Tsuchiya , Hiroshi Toda , Tomomi Tsutsui , Takeshi Shudo and Yumi Asano . 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|>A 35 @-@ episode anime television series adaptation , produced by Toei Animation and directed by<|end-PI|> <|retrieval|> <|start-KFI|>Takashi Hisaoka<|end-KFI|> . <|start-PI|>It aired from<|end-PI|> <|retrieval|> <|start-KFI|>May 20 , 1983 to January 27 , 1984 on Fuji Television<|end... |
Psychologist Tamaki Saitō described Stop ! ! Hibari @-@ kun ! as achieving a " dizzying reality " with Hibari " by contrasting a girlish exterior with a male interior " , and went on to say that the series could be seen as a " continuation of the sartorial perversion lineage " of cross @-@ dressing characters . Manga ... | [
{
"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|>Psychologist Tamaki Saitō described Stop ! ! Hibari @-@ kun ! as achieving a<|end-PI|> <|retrieval|> <|start-KFI|>\" dizzying reality \" with Hibari \" by contrasting a girlish exterior with a male interior \"<|end-KFI|>, and went on to say that the series could be seen as a \" conti... |
In writing for the magazine Cyzo , manga critic Jyamao wrote that because of its overall light and pop literary style , none of the indecency or immorality cross @-@ dressing may engender comes through , which he surmises is why the anime was able to air during prime time . Jyamao notes the more extreme nature 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|>In writing for the magazine Cyzo , manga critic Jyamao wrote that because of its overall light and pop literary style , none of the indecency or immorality cross @-@ dressing may engender comes through , which he surmises is why<|end-PI|> <|retrieval|> <|start-KFI|>the anime was able... |
The series has been called effervescent and having had a hand in paving the way for the J @-@ pop phenomenon . When Tegami Bachi author Hiroyuki Asada read Stop ! ! Hibari @-@ kun ! in junior high school , he admired its novel sensibility , and Eguchi 's art also influenced him . According to Eguchi , some people who ... | [
{
"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 series has been called effervescent and having had a hand in paving the way for<|end-PI|> <|retrieval|> <|start-KFI|>the J @-@ pop phenomenon<|end-KFI|> . <|start-PI|>When Tegami Bachi author Hiroyuki Asada read Stop ! ! Hibari @-@ kun ! in junior high school , he admired<|end-PI... |
The Guitar Hero series ( sometimes referred to as the Hero series ) is a series of music rhythm games first published in 2005 by RedOctane and Harmonix , and distributed by Activision , in which players use a guitar @-@ shaped game controller to simulate playing lead , bass guitar , and rhythm guitar across numerous 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 Guitar Hero series ( sometimes referred to as the Hero series ) is<|end-PI|> <|retrieval|> <|start-KFI|>a series of music rhythm games first published in 2005 by RedOctane and Harmonix , and distributed by Activision<|end-KFI|> , <|start-PI|>in which players use a guitar @-@ shap... |
In 2005 , RedOctane , a company specializing in the manufacture of unique game controllers , was inspired to create Guitar Hero based on RedOctane 's experience creating hardware for Konami 's Guitar Freaks arcade game . They enlisted Harmonix , who previously developed several music video games , for development assi... | [
{
"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 2005, RedOctane, a company specializing in the manufacture of unique game controllers, was inspired to create Guitar Hero based on<|end-PI|> <|retrieval|> <|start-KFI|>RedOctane's experience creating hardware for Konami's Guitar Freaks arcade game<|end-KFI|>. <|start-PI|>They enli... |
The series currently has eight major releases ( six Guitar Hero games , two DJ Hero games and Band Hero ) and five expansions on gaming consoles . There are spin @-@ offs for Windows and Macintosh systems , mobile phones , the Nintendo DS ( the Guitar Hero : On Tour series ) , and an arcade game . The Guitar Hero fran... | [
{
"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 series currently has eight major releases<|end-PI|> <|retrieval|> <|start-KFI|>( six Guitar Hero games , two DJ Hero games and Band Hero ) and five expansions on gaming consoles<|end-KFI|> . There are spin @-@ offs for Windows and Macintosh systems , mobile phones , the Nintendo ... |
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