Datasets:

subset
stringclasses
6 values
context
stringlengths
16
17.7k
context_tokens
sequence
qid
stringlengths
32
32
question
stringlengths
1
717
question_tokens
sequence
detected_answers
sequence
answers
sequencelengths
1
25
NaturalQuestionsShort
<P> Stapleton has co-written six country number - one songs including the five - week number - one `` Never Wanted Nothing More '' recorded by Kenny Chesney , `` Love 's Gonna Make It Alright '' recorded by George Strait , `` Drink a Beer '' recorded by Luke Bryan , and `` Come Back Song '' recorded by Darius Rucker . Over 150 of Stapleton 's songs have appeared on albums by such artists as Adele , Luke Bryan , Tim McGraw , Brad Paisley , and Dierks Bentley . Among other artists , he has co-written with Vince Gill , Peter Frampton and Sheryl Crow . He is the recipient of several accolades , including five Grammy Awards , five Academy of Country Music Awards and seven Country Music Association Awards . </P>
{ "tokens": [ "<P>", "Stapleton", "has", "co-written", "six", "country", "number", "-", "one", "songs", "including", "the", "five", "-", "week", "number", "-", "one", "``", "Never", "Wanted", "Nothing", "More", "''", "recorded", "by", "Kenny", "Chesney", ",", "``", "Love", "'s", "Gonna", "Make", "It", "Alright", "''", "recorded", "by", "George", "Strait", ",", "``", "Drink", "a", "Beer", "''", "recorded", "by", "Luke", "Bryan", ",", "and", "``", "Come", "Back", "Song", "''", "recorded", "by", "Darius", "Rucker", ".", "Over", "150", "of", "Stapleton", "'s", "songs", "have", "appeared", "on", "albums", "by", "such", "artists", "as", "Adele", ",", "Luke", "Bryan", ",", "Tim", "McGraw", ",", "Brad", "Paisley", ",", "and", "Dierks", "Bentley", ".", "Among", "other", "artists", ",", "he", "has", "co-written", "with", "Vince", "Gill", ",", "Peter", "Frampton", "and", "Sheryl", "Crow", ".", "He", "is", "the", "recipient", "of", "several", "accolades", ",", "including", "five", "Grammy", "Awards", ",", "five", "Academy", "of", "Country", "Music", "Awards", "and", "seven", "Country", "Music", "Association", "Awards", ".", "</P>" ], "offsets": [ 0, 4, 14, 18, 29, 33, 41, 48, 50, 54, 60, 70, 74, 79, 81, 86, 93, 95, 99, 102, 108, 115, 123, 128, 131, 140, 143, 149, 157, 159, 162, 167, 170, 176, 181, 184, 192, 195, 204, 207, 214, 221, 223, 226, 232, 234, 239, 242, 251, 254, 259, 265, 267, 271, 274, 279, 284, 289, 292, 301, 304, 311, 318, 320, 325, 329, 332, 342, 345, 351, 356, 365, 368, 375, 378, 383, 391, 394, 400, 402, 407, 413, 415, 419, 426, 428, 433, 441, 443, 447, 454, 462, 464, 470, 476, 484, 486, 489, 493, 504, 509, 515, 520, 522, 528, 537, 541, 548, 553, 555, 558, 561, 565, 575, 578, 586, 596, 598, 608, 613, 620, 627, 629, 634, 642, 645, 653, 659, 666, 670, 676, 684, 690, 702, 709, 711 ] }
967442b78c854d5498c1cb19c7edc118
what songs did chris stapleton write for other artists
{ "tokens": [ "what", "songs", "did", "chris", "stapleton", "write", "for", "other", "artists" ], "offsets": [ 0, 5, 11, 15, 21, 31, 37, 41, 47 ] }
{ "text": [ "Never Wanted Nothing More", "Love 's Gonna Make It Alright", "Drink a Beer", "Come Back Song" ], "char_spans": [ { "start": [ 102 ], "end": [ 126 ] }, { "start": [ 162 ], "end": [ 190 ] }, { "start": [ 226 ], "end": [ 237 ] }, { "start": [ 274 ], "end": [ 287 ] } ], "token_spans": [ { "start": [ 19 ], "end": [ 22 ] }, { "start": [ 30 ], "end": [ 35 ] }, { "start": [ 43 ], "end": [ 45 ] }, { "start": [ 54 ], "end": [ 56 ] } ] }
[ "Never Wanted Nothing More", "Love 's Gonna Make It Alright", "Drink a Beer", "Come Back Song" ]
NaturalQuestionsShort
<P> As the season progresses , Ziva seems to have become involved with someone while in Israel but refuses to discuss it . In `` Nine Lives '' , after she plans a visit to Israel , Tony looks through her desk and finds a picture of an unidentified man ( Merik Tadros ) . Before she leaves , he tells her to have a good trip ( `` Nisiya Tova '' ) in Hebrew , demonstrating that he had at least made some effort to learn that phrase . In `` Cloak '' , Ziva disobeys Gibbs ' orders to not engage during a war game , attacking the guards to defend Tony . Later they both say that they are `` tired of pretending '' : Tony about the politics in the hunt for the mole within the team , which required the team to withhold information from each other , and Ziva for reasons undisclosed . </P>
{ "tokens": [ "<P>", "As", "the", "season", "progresses", ",", "Ziva", "seems", "to", "have", "become", "involved", "with", "someone", "while", "in", "Israel", "but", "refuses", "to", "discuss", "it", ".", "In", "``", "Nine", "Lives", "''", ",", "after", "she", "plans", "a", "visit", "to", "Israel", ",", "Tony", "looks", "through", "her", "desk", "and", "finds", "a", "picture", "of", "an", "unidentified", "man", "(", "Merik", "Tadros", ")", ".", "Before", "she", "leaves", ",", "he", "tells", "her", "to", "have", "a", "good", "trip", "(", "``", "Nisiya", "Tova", "''", ")", "in", "Hebrew", ",", "demonstrating", "that", "he", "had", "at", "least", "made", "some", "effort", "to", "learn", "that", "phrase", ".", "In", "``", "Cloak", "''", ",", "Ziva", "disobeys", "Gibbs", "'", "orders", "to", "not", "engage", "during", "a", "war", "game", ",", "attacking", "the", "guards", "to", "defend", "Tony", ".", "Later", "they", "both", "say", "that", "they", "are", "``", "tired", "of", "pretending", "''", ":", "Tony", "about", "the", "politics", "in", "the", "hunt", "for", "the", "mole", "within", "the", "team", ",", "which", "required", "the", "team", "to", "withhold", "information", "from", "each", "other", ",", "and", "Ziva", "for", "reasons", "undisclosed", ".", "</P>" ], "offsets": [ 0, 4, 7, 11, 18, 29, 31, 36, 42, 45, 50, 57, 66, 71, 79, 85, 88, 95, 99, 107, 110, 118, 121, 123, 126, 129, 134, 140, 143, 145, 151, 155, 161, 163, 169, 172, 179, 181, 186, 192, 200, 204, 209, 213, 219, 221, 229, 232, 235, 248, 252, 254, 260, 267, 269, 271, 278, 282, 289, 291, 294, 300, 304, 307, 312, 314, 319, 324, 326, 329, 336, 341, 344, 346, 349, 356, 358, 372, 377, 380, 384, 387, 393, 398, 403, 410, 413, 419, 424, 431, 433, 436, 439, 445, 448, 450, 455, 464, 470, 472, 479, 482, 486, 493, 500, 502, 506, 511, 513, 523, 527, 534, 537, 544, 549, 551, 557, 562, 567, 571, 576, 581, 585, 588, 594, 597, 608, 611, 613, 618, 624, 628, 637, 640, 644, 649, 653, 657, 662, 669, 673, 678, 680, 686, 695, 699, 704, 707, 716, 728, 733, 738, 744, 746, 750, 755, 759, 767, 779, 781 ] }
dda993b09fd441a5b22141af1d5cadbd
what did tony say to ziva in hebrew in nine lives
{ "tokens": [ "what", "did", "tony", "say", "to", "ziva", "in", "hebrew", "in", "nine", "lives" ], "offsets": [ 0, 5, 9, 14, 18, 21, 26, 29, 36, 39, 44 ] }
{ "text": [ "have a good trip" ], "char_spans": [ { "start": [ 307 ], "end": [ 322 ] } ], "token_spans": [ { "start": [ 63 ], "end": [ 66 ] } ] }
[ "have a good trip" ]
NaturalQuestionsShort
<P> Common corrosives are either strong acids , strong bases , or concentrated solutions of certain weak acids or weak bases . They can exist as any state of matter , including liquids , solids , gases , mists or vapors . </P>
{ "tokens": [ "<P>", "Common", "corrosives", "are", "either", "strong", "acids", ",", "strong", "bases", ",", "or", "concentrated", "solutions", "of", "certain", "weak", "acids", "or", "weak", "bases", ".", "They", "can", "exist", "as", "any", "state", "of", "matter", ",", "including", "liquids", ",", "solids", ",", "gases", ",", "mists", "or", "vapors", ".", "</P>" ], "offsets": [ 0, 4, 11, 22, 26, 33, 40, 46, 48, 55, 61, 63, 66, 79, 89, 92, 100, 105, 111, 114, 119, 125, 127, 132, 136, 142, 145, 149, 155, 158, 165, 167, 177, 185, 187, 194, 196, 202, 204, 210, 213, 220, 222 ] }
616fc7cee900459988e37d148dd61f82
what word is used to describe an acid or base that can destroy body tissue
{ "tokens": [ "what", "word", "is", "used", "to", "describe", "an", "acid", "or", "base", "that", "can", "destroy", "body", "tissue" ], "offsets": [ 0, 5, 10, 13, 18, 21, 30, 33, 38, 41, 46, 51, 55, 63, 68 ] }
{ "text": [ "corrosives" ], "char_spans": [ { "start": [ 11 ], "end": [ 20 ] } ], "token_spans": [ { "start": [ 2 ], "end": [ 2 ] } ] }
[ "corrosives" ]
NaturalQuestionsShort
<P> The Galactic Center is the rotational center of the Milky Way . The estimates for its location range from 24 -- 28.4 kilolight - years ( 7.4 -- 8.7 kiloparsecs ) from Earth in the direction of the constellations Sagittarius , Ophiuchus , and Scorpius where the Milky Way appears brightest . It coincides with the compact radio source Sagittarius A * . </P>
{ "tokens": [ "<P>", "The", "Galactic", "Center", "is", "the", "rotational", "center", "of", "the", "Milky", "Way", ".", "The", "estimates", "for", "its", "location", "range", "from", "24", "--", "28.4", "kilolight", "-", "years", "(", "7.4", "--", "8.7", "kiloparsecs", ")", "from", "Earth", "in", "the", "direction", "of", "the", "constellations", "Sagittarius", ",", "Ophiuchus", ",", "and", "Scorpius", "where", "the", "Milky", "Way", "appears", "brightest", ".", "It", "coincides", "with", "the", "compact", "radio", "source", "Sagittarius", "A", "*", ".", "</P>" ], "offsets": [ 0, 4, 8, 17, 24, 27, 31, 42, 49, 52, 56, 62, 66, 68, 72, 82, 86, 90, 99, 105, 110, 113, 116, 121, 131, 133, 139, 141, 145, 148, 152, 164, 166, 171, 177, 180, 184, 194, 197, 201, 216, 228, 230, 240, 242, 246, 255, 261, 265, 271, 275, 283, 293, 295, 298, 308, 313, 317, 325, 331, 338, 350, 352, 354, 356 ] }
1b8e6f6c6993460ab32aede690ca1b9b
how far is the center of the milky way galaxy
{ "tokens": [ "how", "far", "is", "the", "center", "of", "the", "milky", "way", "galaxy" ], "offsets": [ 0, 4, 8, 11, 15, 22, 25, 29, 35, 39 ] }
{ "text": [ "24 -- 28.4 kilolight - years" ], "char_spans": [ { "start": [ 110 ], "end": [ 137 ] } ], "token_spans": [ { "start": [ 20 ], "end": [ 25 ] } ] }
[ "24 -- 28.4 kilolight - years" ]
NaturalQuestionsShort
<P> Hugo Wallace Weaving ( born 4 April 1960 ) is an English - Australian film and stage actor . He is best known for playing Agent Smith in The Matrix trilogy ( 1999 -- 2003 ) , Elrond in The Lord of the Rings ( 2001 -- 2003 ) and The Hobbit ( 2012 -- 2014 ) film trilogies , V in V for Vendetta ( 2006 ) , Red Skull in Captain America : The First Avenger and the father in Hacksaw Ridge . Weaving 's first television role was in the 1984 Australian television series Bodyline , where he portrayed English cricket captain Douglas Jardine . In film , he first rose to prominence for his performance as Martin in the Australian drama Proof ( 1991 ) . Weaving played Anthony `` Tick '' Belrose / Mitzi Del Bra in the comedy - drama The Adventures of Priscilla , Queen of the Desert ( 1994 ) ; and multiple roles in the science fiction film Cloud Atlas ( 2012 ) . His roles as a voice actor include Rex in Babe , Noah in Happy Feet and Happy Feet Two , and Megatron in the first three Transformers films . </P>
{ "tokens": [ "<P>", "Hugo", "Wallace", "Weaving", "(", "born", "4", "April", "1960", ")", "is", "an", "English", "-", "Australian", "film", "and", "stage", "actor", ".", "He", "is", "best", "known", "for", "playing", "Agent", "Smith", "in", "The", "Matrix", "trilogy", "(", "1999", "--", "2003", ")", ",", "Elrond", "in", "The", "Lord", "of", "the", "Rings", "(", "2001", "--", "2003", ")", "and", "The", "Hobbit", "(", "2012", "--", "2014", ")", "film", "trilogies", ",", "V", "in", "V", "for", "Vendetta", "(", "2006", ")", ",", "Red", "Skull", "in", "Captain", "America", ":", "The", "First", "Avenger", "and", "the", "father", "in", "Hacksaw", "Ridge", ".", "Weaving", "'s", "first", "television", "role", "was", "in", "the", "1984", "Australian", "television", "series", "Bodyline", ",", "where", "he", "portrayed", "English", "cricket", "captain", "Douglas", "Jardine", ".", "In", "film", ",", "he", "first", "rose", "to", "prominence", "for", "his", "performance", "as", "Martin", "in", "the", "Australian", "drama", "Proof", "(", "1991", ")", ".", "Weaving", "played", "Anthony", "``", "Tick", "''", "Belrose", "/", "Mitzi", "Del", "Bra", "in", "the", "comedy", "-", "drama", "The", "Adventures", "of", "Priscilla", ",", "Queen", "of", "the", "Desert", "(", "1994", ")", ";", "and", "multiple", "roles", "in", "the", "science", "fiction", "film", "Cloud", "Atlas", "(", "2012", ")", ".", "His", "roles", "as", "a", "voice", "actor", "include", "Rex", "in", "Babe", ",", "Noah", "in", "Happy", "Feet", "and", "Happy", "Feet", "Two", ",", "and", "Megatron", "in", "the", "first", "three", "Transformers", "films", ".", "</P>" ], "offsets": [ 0, 4, 9, 17, 25, 27, 32, 34, 40, 45, 47, 50, 53, 61, 63, 74, 79, 83, 89, 95, 97, 100, 103, 108, 114, 118, 126, 132, 138, 141, 145, 152, 160, 162, 167, 170, 175, 177, 179, 186, 189, 193, 198, 201, 205, 211, 213, 218, 221, 226, 228, 232, 236, 243, 245, 250, 253, 258, 260, 265, 275, 277, 279, 282, 284, 288, 297, 299, 304, 306, 308, 312, 318, 321, 329, 337, 339, 343, 349, 357, 361, 365, 372, 375, 383, 389, 391, 399, 402, 408, 419, 424, 428, 431, 435, 440, 451, 462, 469, 478, 480, 486, 489, 499, 507, 515, 523, 531, 539, 541, 544, 549, 551, 554, 560, 565, 568, 579, 583, 587, 599, 602, 609, 612, 616, 627, 633, 639, 641, 646, 648, 650, 658, 665, 673, 676, 681, 684, 692, 694, 700, 704, 708, 711, 715, 722, 724, 730, 734, 745, 748, 758, 760, 766, 769, 773, 780, 782, 787, 789, 791, 795, 804, 810, 813, 817, 825, 833, 838, 844, 850, 852, 857, 859, 861, 865, 871, 874, 876, 882, 888, 896, 900, 903, 908, 910, 915, 918, 924, 929, 933, 939, 944, 948, 950, 954, 963, 966, 970, 976, 982, 995, 1001, 1003 ] }
853d5ed34eaa43c195becc0daa5dc8d7
who played elrond in the lord of the rings
{ "tokens": [ "who", "played", "elrond", "in", "the", "lord", "of", "the", "rings" ], "offsets": [ 0, 4, 11, 18, 21, 25, 30, 33, 37 ] }
{ "text": [ "Hugo Wallace Weaving" ], "char_spans": [ { "start": [ 4 ], "end": [ 23 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 3 ] } ] }
[ "Hugo Wallace Weaving" ]
NaturalQuestionsShort
<Table> <Tr> <Th> Points scored </Th> <Th> Score </Th> <Th> Winning team </Th> <Th> Losing team </Th> <Th> Date </Th> <Th> Ref </Th> </Tr> <Tr> <Th> 113 </Th> <Td> 72 -- 41 </Td> <Td> Washington Redskins </Td> <Td> New York Giants </Td> <Td> November 27 , 1966 </Td> <Td> </Td> </Tr> <Tr> <Th> 106 </Th> <Td> 58 -- 48 </Td> <Td> Cincinnati Bengals </Td> <Td> Cleveland Browns </Td> <Td> November 28 , 2004 </Td> <Td> </Td> </Tr> <Tr> <Th> 101 </Th> <Td> 52 -- 49 </Td> <Td> Oakland Raiders </Td> <Td> Houston Oilers </Td> <Td> December 22 , 1963 </Td> <Td> </Td> </Tr> <Tr> <Th> 101 </Th> <Td> 52 -- 49 </Td> <Td> New Orleans Saints </Td> <Td> New York Giants </Td> <Td> November 1 , 2015 </Td> <Td> </Td> </Tr> <Tr> <Th> 99 </Th> <Td> 51 -- 48 ( OT ) </Td> <Td> Seattle Seahawks </Td> <Td> Kansas City Chiefs </Td> <Td> November 27 , 1983 </Td> <Td> </Td> </Tr> <Tr> <Th> 99 </Th> <Td> 51 -- 48 </Td> <Td> Denver Broncos </Td> <Td> Dallas Cowboys </Td> <Td> October 6 , 2013 </Td> <Td> </Td> </Tr> <Tr> <Th> 98 </Th> <Td> 54 -- 44 </Td> <Td> San Diego Chargers </Td> <Td> Pittsburgh Steelers </Td> <Td> December 8 , 1985 </Td> <Td> </Td> </Tr> <Tr> <Th> 96 </Th> <Td> 51 -- 45 </Td> <Td> Cleveland Browns </Td> <Td> Cincinnati Bengals </Td> <Td> September 16 , 2007 </Td> <Td> </Td> </Tr> <Tr> <Th> 96 </Th> <Td> 51 -- 45 ( OT ) </Td> <Td> New York Jets </Td> <Td> Miami Dolphins </Td> <Td> September 21 , 1986 </Td> <Td> </Td> </Tr> <Tr> <Th> 95 </Th> <Td> 48 -- 47 </Td> <Td> Green Bay Packers </Td> <Td> Washington Redskins </Td> <Td> October 17 , 1983 </Td> <Td> </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "Points", "scored", "</Th>", "<Th>", "Score", "</Th>", "<Th>", "Winning", "team", "</Th>", "<Th>", "Losing", "team", "</Th>", "<Th>", "Date", "</Th>", "<Th>", "Ref", "</Th>", "</Tr>", "<Tr>", "<Th>", "113", "</Th>", "<Td>", "72", "--", "41", "</Td>", "<Td>", "Washington", "Redskins", "</Td>", "<Td>", "New", "York", "Giants", "</Td>", "<Td>", "November", "27", ",", "1966", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "106", "</Th>", "<Td>", "58", "--", "48", "</Td>", "<Td>", "Cincinnati", "Bengals", "</Td>", "<Td>", "Cleveland", "Browns", "</Td>", "<Td>", "November", "28", ",", "2004", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "101", "</Th>", "<Td>", "52", "--", "49", "</Td>", "<Td>", "Oakland", "Raiders", "</Td>", "<Td>", "Houston", "Oilers", "</Td>", "<Td>", "December", "22", ",", "1963", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "101", "</Th>", "<Td>", "52", "--", "49", "</Td>", "<Td>", "New", "Orleans", "Saints", "</Td>", "<Td>", "New", "York", "Giants", "</Td>", "<Td>", "November", "1", ",", "2015", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "99", "</Th>", "<Td>", "51", "--", "48", "(", "OT", ")", "</Td>", "<Td>", "Seattle", "Seahawks", "</Td>", "<Td>", "Kansas", "City", "Chiefs", "</Td>", "<Td>", "November", "27", ",", "1983", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "99", "</Th>", "<Td>", "51", "--", "48", "</Td>", "<Td>", "Denver", "Broncos", "</Td>", "<Td>", "Dallas", "Cowboys", "</Td>", "<Td>", "October", "6", ",", "2013", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "98", "</Th>", "<Td>", "54", "--", "44", "</Td>", "<Td>", "San", "Diego", "Chargers", "</Td>", "<Td>", "Pittsburgh", "Steelers", "</Td>", "<Td>", "December", "8", ",", "1985", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "96", "</Th>", "<Td>", "51", "--", "45", "</Td>", "<Td>", "Cleveland", "Browns", "</Td>", "<Td>", "Cincinnati", "Bengals", "</Td>", "<Td>", "September", "16", ",", "2007", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "96", "</Th>", "<Td>", "51", "--", "45", "(", "OT", ")", "</Td>", "<Td>", "New", "York", "Jets", "</Td>", "<Td>", "Miami", "Dolphins", "</Td>", "<Td>", "September", "21", ",", "1986", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "95", "</Th>", "<Td>", "48", "--", "47", "</Td>", "<Td>", "Green", "Bay", "Packers", "</Td>", "<Td>", "Washington", "Redskins", "</Td>", "<Td>", "October", "17", ",", "1983", "</Td>", "<Td>", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 18, 25, 32, 38, 43, 49, 55, 60, 68, 73, 79, 84, 91, 96, 102, 107, 112, 118, 123, 127, 133, 139, 144, 149, 153, 159, 164, 167, 170, 173, 179, 184, 195, 204, 210, 215, 219, 224, 231, 237, 242, 251, 254, 256, 261, 267, 272, 278, 284, 289, 294, 298, 304, 309, 312, 315, 318, 324, 329, 340, 348, 354, 359, 369, 376, 382, 387, 396, 399, 401, 406, 412, 417, 423, 429, 434, 439, 443, 449, 454, 457, 460, 463, 469, 474, 482, 490, 496, 501, 509, 516, 522, 527, 536, 539, 541, 546, 552, 557, 563, 569, 574, 579, 583, 589, 594, 597, 600, 603, 609, 614, 618, 626, 633, 639, 644, 648, 653, 660, 666, 671, 680, 682, 684, 689, 695, 700, 706, 712, 717, 722, 725, 731, 736, 739, 742, 745, 747, 750, 752, 758, 763, 771, 780, 786, 791, 798, 803, 810, 816, 821, 830, 833, 835, 840, 846, 851, 857, 863, 868, 873, 876, 882, 887, 890, 893, 896, 902, 907, 914, 922, 928, 933, 940, 948, 954, 959, 967, 969, 971, 976, 982, 987, 993, 999, 1004, 1009, 1012, 1018, 1023, 1026, 1029, 1032, 1038, 1043, 1047, 1053, 1062, 1068, 1073, 1084, 1093, 1099, 1104, 1113, 1115, 1117, 1122, 1128, 1133, 1139, 1145, 1150, 1155, 1158, 1164, 1169, 1172, 1175, 1178, 1184, 1189, 1199, 1206, 1212, 1217, 1228, 1236, 1242, 1247, 1257, 1260, 1262, 1267, 1273, 1278, 1284, 1290, 1295, 1300, 1303, 1309, 1314, 1317, 1320, 1323, 1325, 1328, 1330, 1336, 1341, 1345, 1350, 1355, 1361, 1366, 1372, 1381, 1387, 1392, 1402, 1405, 1407, 1412, 1418, 1423, 1429, 1435, 1440, 1445, 1448, 1454, 1459, 1462, 1465, 1468, 1474, 1479, 1485, 1489, 1497, 1503, 1508, 1519, 1528, 1534, 1539, 1547, 1550, 1552, 1557, 1563, 1568, 1574, 1580 ] }
c881b9a00ab644b6bde7c9686f0cbeaa
what is the highest score in the nfl
{ "tokens": [ "what", "is", "the", "highest", "score", "in", "the", "nfl" ], "offsets": [ 0, 5, 8, 12, 20, 26, 29, 33 ] }
{ "text": [ "72 -- 41" ], "char_spans": [ { "start": [ 164 ], "end": [ 171 ] } ], "token_spans": [ { "start": [ 29 ], "end": [ 31 ] } ] }
[ "72 -- 41" ]
NaturalQuestionsShort
<Li> Garth Jennings as Miss Crawly , an elderly iguana with a glass eye who is Buster 's administrative assistant . </Li>
{ "tokens": [ "<Li>", "Garth", "Jennings", "as", "Miss", "Crawly", ",", "an", "elderly", "iguana", "with", "a", "glass", "eye", "who", "is", "Buster", "'s", "administrative", "assistant", ".", "</Li>" ], "offsets": [ 0, 5, 11, 20, 23, 28, 35, 37, 40, 48, 55, 60, 62, 68, 72, 76, 79, 86, 89, 104, 114, 116 ] }
f3b0028c82e64ea081bd0c477728cc08
who plays miss crawley in the movie sing
{ "tokens": [ "who", "plays", "miss", "crawley", "in", "the", "movie", "sing" ], "offsets": [ 0, 4, 10, 15, 23, 26, 30, 36 ] }
{ "text": [ "Garth Jennings" ], "char_spans": [ { "start": [ 5 ], "end": [ 18 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 2 ] } ] }
[ "Garth Jennings" ]
NaturalQuestionsShort
<P> General elections were held in Brazil on 6 October 2002 , with a second round on 27 October . After three failed attempts , Workers ' Party leader Luiz Inácio Lula da Silva succeeded in a presidential election . Nevertheless , he did not manage to obtain the majority of valid votes in the first round ; this led the presidential election to a second round , which Lula won with 52.7 million votes ( 61.3 % of the total ) , becoming at the time the second most voted - for president in the world after Ronald Reagan in the 1984 United States presidential election . </P>
{ "tokens": [ "<P>", "General", "elections", "were", "held", "in", "Brazil", "on", "6", "October", "2002", ",", "with", "a", "second", "round", "on", "27", "October", ".", "After", "three", "failed", "attempts", ",", "Workers", "'", "Party", "leader", "Luiz", "Inácio", "Lula", "da", "Silva", "succeeded", "in", "a", "presidential", "election", ".", "Nevertheless", ",", "he", "did", "not", "manage", "to", "obtain", "the", "majority", "of", "valid", "votes", "in", "the", "first", "round", ";", "this", "led", "the", "presidential", "election", "to", "a", "second", "round", ",", "which", "Lula", "won", "with", "52.7", "million", "votes", "(", "61.3", "%", "of", "the", "total", ")", ",", "becoming", "at", "the", "time", "the", "second", "most", "voted", "-", "for", "president", "in", "the", "world", "after", "Ronald", "Reagan", "in", "the", "1984", "United", "States", "presidential", "election", ".", "</P>" ], "offsets": [ 0, 4, 12, 22, 27, 32, 35, 42, 45, 47, 55, 60, 62, 67, 69, 76, 82, 85, 88, 96, 98, 104, 110, 117, 126, 128, 136, 138, 144, 151, 156, 163, 168, 171, 177, 187, 190, 192, 205, 214, 216, 229, 231, 234, 238, 242, 249, 252, 259, 263, 272, 275, 281, 287, 290, 294, 300, 306, 308, 313, 317, 321, 334, 343, 346, 348, 355, 361, 363, 369, 374, 378, 383, 388, 396, 402, 404, 409, 411, 414, 418, 424, 426, 428, 437, 440, 444, 449, 453, 460, 465, 471, 473, 477, 487, 490, 494, 500, 506, 513, 520, 523, 527, 532, 539, 546, 559, 568, 570 ] }
f3ecb8d39b7d4223b7d3918a7054f2e9
who was elected president of brazil in 2002
{ "tokens": [ "who", "was", "elected", "president", "of", "brazil", "in", "2002" ], "offsets": [ 0, 4, 8, 16, 26, 29, 36, 39 ] }
{ "text": [ "Workers ' Party leader Luiz Inácio Lula da Silva" ], "char_spans": [ { "start": [ 128 ], "end": [ 175 ] } ], "token_spans": [ { "start": [ 25 ], "end": [ 33 ] } ] }
[ "Workers ' Party leader Luiz Inácio Lula da Silva" ]
NaturalQuestionsShort
<P> The National Flag of India is a horizontal rectangular tricolour of India saffron , white and India green ; with the Ashoka Chakra , a 24 - spoke wheel , in navy blue at its centre . It was adopted in its present form during a meeting of the Constituent Assembly held on 22 July 1947 , and it became the official flag of the Dominion of India on 15 August 1947 . The flag was subsequently retained as that of the Republic of India . In India , the term `` tricolour '' ( Hindi : तिरंगा , translit . Tiraṅgā ) almost always refers to the Indian national flag . The flag is based on the Swaraj flag , a flag of the Indian National Congress designed by Pingali Venkayya . </P>
{ "tokens": [ "<P>", "The", "National", "Flag", "of", "India", "is", "a", "horizontal", "rectangular", "tricolour", "of", "India", "saffron", ",", "white", "and", "India", "green", ";", "with", "the", "Ashoka", "Chakra", ",", "a", "24", "-", "spoke", "wheel", ",", "in", "navy", "blue", "at", "its", "centre", ".", "It", "was", "adopted", "in", "its", "present", "form", "during", "a", "meeting", "of", "the", "Constituent", "Assembly", "held", "on", "22", "July", "1947", ",", "and", "it", "became", "the", "official", "flag", "of", "the", "Dominion", "of", "India", "on", "15", "August", "1947", ".", "The", "flag", "was", "subsequently", "retained", "as", "that", "of", "the", "Republic", "of", "India", ".", "In", "India", ",", "the", "term", "``", "tricolour", "''", "(", "Hindi", ":", "तिरंगा", ",", "translit", ".", "Tiraṅgā", ")", "almost", "always", "refers", "to", "the", "Indian", "national", "flag", ".", "The", "flag", "is", "based", "on", "the", "Swaraj", "flag", ",", "a", "flag", "of", "the", "Indian", "National", "Congress", "designed", "by", "Pingali", "Venkayya", ".", "</P>" ], "offsets": [ 0, 4, 8, 17, 22, 25, 31, 34, 36, 47, 59, 69, 72, 78, 86, 88, 94, 98, 104, 110, 112, 117, 121, 128, 135, 137, 139, 142, 144, 150, 156, 158, 161, 166, 171, 174, 178, 185, 187, 190, 194, 202, 205, 209, 217, 222, 229, 231, 239, 242, 246, 258, 267, 272, 275, 278, 283, 288, 290, 294, 297, 304, 308, 317, 322, 325, 329, 338, 341, 347, 350, 353, 360, 365, 367, 371, 376, 380, 393, 402, 405, 410, 413, 417, 426, 429, 435, 437, 440, 446, 448, 452, 457, 460, 470, 473, 475, 481, 483, 490, 492, 501, 503, 511, 513, 520, 527, 534, 537, 541, 548, 557, 562, 564, 568, 573, 576, 582, 585, 589, 596, 601, 603, 605, 610, 613, 617, 624, 633, 642, 651, 654, 662, 671, 673 ] }
96ac4c4e409741329d432207d99db6f5
who designed the national flag of india and when
{ "tokens": [ "who", "designed", "the", "national", "flag", "of", "india", "and", "when" ], "offsets": [ 0, 4, 13, 17, 26, 31, 34, 40, 44 ] }
{ "text": [ "Pingali Venkayya" ], "char_spans": [ { "start": [ 654 ], "end": [ 669 ] } ], "token_spans": [ { "start": [ 131 ], "end": [ 132 ] } ] }
[ "Pingali Venkayya" ]
NaturalQuestionsShort
<P> `` The Battle of New Orleans '' is a song written by Jimmy Driftwood . The song describes the 1815 Battle of New Orleans from the perspective of an American soldier ; the song tells the tale of the battle with a light tone and provides a rather comical version of what actually happened at the battle . It has been recorded by many artists , but the singer most often associated with this song is Johnny Horton . His version scored number 1 on the Billboard Hot 100 in 1959 ( see 1959 in music ) . Billboard ranked it as the No. 1 song for 1959 , it was very popular with teenagers in the late 50 's / early 60 's in an era mostly dominated by rock and roll music . </P>
{ "tokens": [ "<P>", "``", "The", "Battle", "of", "New", "Orleans", "''", "is", "a", "song", "written", "by", "Jimmy", "Driftwood", ".", "The", "song", "describes", "the", "1815", "Battle", "of", "New", "Orleans", "from", "the", "perspective", "of", "an", "American", "soldier", ";", "the", "song", "tells", "the", "tale", "of", "the", "battle", "with", "a", "light", "tone", "and", "provides", "a", "rather", "comical", "version", "of", "what", "actually", "happened", "at", "the", "battle", ".", "It", "has", "been", "recorded", "by", "many", "artists", ",", "but", "the", "singer", "most", "often", "associated", "with", "this", "song", "is", "Johnny", "Horton", ".", "His", "version", "scored", "number", "1", "on", "the", "Billboard", "Hot", "100", "in", "1959", "(", "see", "1959", "in", "music", ")", ".", "Billboard", "ranked", "it", "as", "the", "No.", "1", "song", "for", "1959", ",", "it", "was", "very", "popular", "with", "teenagers", "in", "the", "late", "50", "'s", "/", "early", "60", "'s", "in", "an", "era", "mostly", "dominated", "by", "rock", "and", "roll", "music", ".", "</P>" ], "offsets": [ 0, 4, 7, 11, 18, 21, 25, 33, 36, 39, 41, 46, 54, 57, 63, 73, 75, 79, 84, 94, 98, 103, 110, 113, 117, 125, 130, 134, 146, 149, 152, 161, 169, 171, 175, 180, 186, 190, 195, 198, 202, 209, 214, 216, 222, 227, 231, 240, 242, 249, 257, 265, 268, 273, 282, 291, 294, 298, 305, 307, 310, 314, 319, 328, 331, 336, 344, 346, 350, 354, 361, 366, 372, 383, 388, 393, 398, 401, 408, 415, 417, 421, 429, 436, 443, 445, 448, 452, 462, 466, 470, 473, 478, 480, 484, 489, 492, 498, 500, 502, 512, 519, 522, 525, 529, 533, 535, 540, 544, 549, 551, 554, 558, 563, 571, 576, 586, 589, 593, 598, 601, 604, 606, 612, 615, 618, 621, 624, 628, 635, 645, 648, 653, 657, 662, 668, 670 ] }
4496d04de9f34bd9941618ec051a9de8
who sang the song battle of new orleans
{ "tokens": [ "who", "sang", "the", "song", "battle", "of", "new", "orleans" ], "offsets": [ 0, 4, 9, 13, 18, 25, 28, 32 ] }
{ "text": [ "Johnny Horton" ], "char_spans": [ { "start": [ 401 ], "end": [ 413 ] } ], "token_spans": [ { "start": [ 77 ], "end": [ 78 ] } ] }
[ "Johnny Horton" ]
NaturalQuestionsShort
<P> Kimberly Rhodes ( born June 7 , 1969 ) is an American actress , who portrayed the role of `` Cindy Harrison '' on two different soap operas , Another World ( 1992 -- 96 ) and As the World Turns ( 2000 -- 01 ) , as well as Carey Martin in the Disney Channel sitcom The Suite Life of Zack & Cody ( 2005 -- 08 ) and The Suite Life on Deck ( 2008 -- 11 ) , where she played the mother of twins Zack and Cody ( Dylan and Cole Sprouse ) . She is also known for playing Sheriff Jody Mills on Supernatural ( 2010 -- ) . </P>
{ "tokens": [ "<P>", "Kimberly", "Rhodes", "(", "born", "June", "7", ",", "1969", ")", "is", "an", "American", "actress", ",", "who", "portrayed", "the", "role", "of", "``", "Cindy", "Harrison", "''", "on", "two", "different", "soap", "operas", ",", "Another", "World", "(", "1992", "--", "96", ")", "and", "As", "the", "World", "Turns", "(", "2000", "--", "01", ")", ",", "as", "well", "as", "Carey", "Martin", "in", "the", "Disney", "Channel", "sitcom", "The", "Suite", "Life", "of", "Zack", "&", "Cody", "(", "2005", "--", "08", ")", "and", "The", "Suite", "Life", "on", "Deck", "(", "2008", "--", "11", ")", ",", "where", "she", "played", "the", "mother", "of", "twins", "Zack", "and", "Cody", "(", "Dylan", "and", "Cole", "Sprouse", ")", ".", "She", "is", "also", "known", "for", "playing", "Sheriff", "Jody", "Mills", "on", "Supernatural", "(", "2010", "--", ")", ".", "</P>" ], "offsets": [ 0, 4, 13, 20, 22, 27, 32, 34, 36, 41, 43, 46, 49, 58, 66, 68, 72, 82, 86, 91, 94, 97, 103, 112, 115, 118, 122, 132, 137, 144, 146, 154, 160, 162, 167, 170, 173, 175, 179, 182, 186, 192, 198, 200, 205, 208, 211, 213, 215, 218, 223, 226, 232, 239, 242, 246, 253, 261, 268, 272, 278, 283, 286, 291, 293, 298, 300, 305, 308, 311, 313, 317, 321, 327, 332, 335, 340, 342, 347, 350, 353, 355, 357, 363, 367, 374, 378, 385, 388, 394, 399, 403, 408, 410, 416, 420, 425, 433, 435, 437, 441, 444, 449, 455, 459, 467, 475, 480, 486, 489, 502, 504, 509, 512, 514, 516 ] }
d3b2dd84b9744dcb911913f75512a47e
who plays the mom in zack and cody
{ "tokens": [ "who", "plays", "the", "mom", "in", "zack", "and", "cody" ], "offsets": [ 0, 4, 10, 14, 18, 21, 26, 30 ] }
{ "text": [ "Kimberly Rhodes" ], "char_spans": [ { "start": [ 4 ], "end": [ 18 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 2 ] } ] }
[ "Kimberly Rhodes" ]
NaturalQuestionsShort
<P> `` When Will I Be Loved '' is a classic popular song written by Phil Everly of the Everly Brothers , who had a US top ten hit with it in 1960 . Linda Ronstadt covered the song in 1975 , and her version was an even bigger hit in the US peaking at No. 2 . </P>
{ "tokens": [ "<P>", "``", "When", "Will", "I", "Be", "Loved", "''", "is", "a", "classic", "popular", "song", "written", "by", "Phil", "Everly", "of", "the", "Everly", "Brothers", ",", "who", "had", "a", "US", "top", "ten", "hit", "with", "it", "in", "1960", ".", "Linda", "Ronstadt", "covered", "the", "song", "in", "1975", ",", "and", "her", "version", "was", "an", "even", "bigger", "hit", "in", "the", "US", "peaking", "at", "No.", "2", ".", "</P>" ], "offsets": [ 0, 4, 7, 12, 17, 19, 22, 28, 31, 34, 36, 44, 52, 57, 65, 68, 73, 80, 83, 87, 94, 103, 105, 109, 113, 115, 118, 122, 126, 130, 135, 138, 141, 146, 148, 154, 163, 171, 175, 180, 183, 188, 190, 194, 198, 206, 210, 213, 218, 225, 229, 232, 236, 239, 247, 250, 254, 256, 258 ] }
292f035973404454b9e6bf51c3c0dfa0
who sings the song when will i be loved
{ "tokens": [ "who", "sings", "the", "song", "when", "will", "i", "be", "loved" ], "offsets": [ 0, 4, 10, 14, 19, 24, 29, 31, 34 ] }
{ "text": [ "the Everly Brothers" ], "char_spans": [ { "start": [ 83 ], "end": [ 101 ] } ], "token_spans": [ { "start": [ 18 ], "end": [ 20 ] } ] }
[ "the Everly Brothers" ]
NaturalQuestionsShort
<P> Faisalabad ( Urdu : فیصل آباد ‎ ; English : / fɑːɪsɑːlˌbɑːd / ; Lyallpur until 1979 ) , is the third-most - populous city in Pakistan , and the second - largest in the eastern province of Punjab . Historically one of the first planned cities within British India , it has long since developed into a cosmopolitan metropolis . Faisalabad was restructured into city district status ; a devolution promulgated by the 2001 local government ordinance ( LGO ) . The total area of Faisalabad District is 5,856 km ( 2,261 sq mi ) while the area controlled by the Faisalabad Development Authority ( FDA ) is 1,280 km ( 490 sq mi ) . Faisalabad has grown to become a major industrial and distribution centre because of its central location in the region and connecting roads , rails , and air transportation . It has been referred to as the `` Manchester of Pakistan '' . Faisalabad 's GDP ( PPP ) in 2013 was $43 billion ( USD ) . The average annual GDP of Faisalabad is $20.5 billion calculated by averaging GDP projections from 2015 to 2025 ; agriculture and industry remains its hallmark . </P>
{ "tokens": [ "<P>", "Faisalabad", "(", "Urdu", ":", "فیصل", "آباد", "‎", ";", "English", ":", "/", "fɑːɪsɑːlˌbɑːd", "/", ";", "Lyallpur", "until", "1979", ")", ",", "is", "the", "third-most", "-", "populous", "city", "in", "Pakistan", ",", "and", "the", "second", "-", "largest", "in", "the", "eastern", "province", "of", "Punjab", ".", "Historically", "one", "of", "the", "first", "planned", "cities", "within", "British", "India", ",", "it", "has", "long", "since", "developed", "into", "a", "cosmopolitan", "metropolis", ".", "Faisalabad", "was", "restructured", "into", "city", "district", "status", ";", "a", "devolution", "promulgated", "by", "the", "2001", "local", "government", "ordinance", "(", "LGO", ")", ".", "The", "total", "area", "of", "Faisalabad", "District", "is", "5,856", "km", "(", "2,261", "sq", "mi", ")", "while", "the", "area", "controlled", "by", "the", "Faisalabad", "Development", "Authority", "(", "FDA", ")", "is", "1,280", "km", "(", "490", "sq", "mi", ")", ".", "Faisalabad", "has", "grown", "to", "become", "a", "major", "industrial", "and", "distribution", "centre", "because", "of", "its", "central", "location", "in", "the", "region", "and", "connecting", "roads", ",", "rails", ",", "and", "air", "transportation", ".", "It", "has", "been", "referred", "to", "as", "the", "``", "Manchester", "of", "Pakistan", "''", ".", "Faisalabad", "'s", "GDP", "(", "PPP", ")", "in", "2013", "was", "$43", "billion", "(", "USD", ")", ".", "The", "average", "annual", "GDP", "of", "Faisalabad", "is", "$20.5", "billion", "calculated", "by", "averaging", "GDP", "projections", "from", "2015", "to", "2025", ";", "agriculture", "and", "industry", "remains", "its", "hallmark", ".", "</P>" ], "offsets": [ 0, 4, 15, 17, 22, 24, 29, 34, 36, 38, 46, 48, 50, 64, 66, 68, 77, 83, 88, 90, 92, 95, 99, 110, 112, 121, 126, 129, 138, 140, 144, 148, 155, 157, 165, 168, 172, 180, 189, 192, 199, 201, 214, 218, 221, 225, 231, 239, 246, 253, 261, 267, 269, 272, 276, 281, 287, 297, 302, 304, 317, 328, 330, 341, 345, 358, 363, 368, 377, 384, 386, 388, 399, 411, 414, 418, 423, 429, 440, 450, 452, 456, 458, 460, 464, 470, 475, 478, 489, 498, 501, 507, 510, 512, 518, 521, 524, 526, 532, 536, 541, 552, 555, 559, 570, 582, 592, 594, 598, 600, 603, 609, 612, 614, 618, 621, 624, 626, 628, 639, 643, 649, 652, 659, 661, 667, 678, 682, 695, 702, 710, 713, 717, 725, 734, 737, 741, 748, 752, 763, 769, 771, 777, 779, 783, 787, 802, 804, 807, 811, 816, 825, 828, 831, 835, 838, 849, 852, 861, 864, 866, 877, 880, 884, 886, 890, 892, 895, 900, 904, 908, 916, 918, 922, 924, 926, 930, 938, 945, 949, 952, 963, 966, 972, 980, 991, 994, 1004, 1008, 1020, 1025, 1030, 1033, 1038, 1040, 1052, 1056, 1065, 1073, 1077, 1086, 1088 ] }
00e24839959346f1b2ede43600de831b
which city of pakistan is called manchester of pakistan
{ "tokens": [ "which", "city", "of", "pakistan", "is", "called", "manchester", "of", "pakistan" ], "offsets": [ 0, 6, 11, 14, 23, 26, 33, 44, 47 ] }
{ "text": [ "Faisalabad" ], "char_spans": [ { "start": [ 4 ], "end": [ 13 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 1 ] } ] }
[ "Faisalabad" ]
NaturalQuestionsShort
<P> `` Kung Fu Fighting '' is a disco song by Carl Douglas , with production by Biddu . It was released as a single in 1974 on the cusp of a chopsocky film craze and rose to the top of the British , Australian and American charts , in addition to reaching the top of the Soul Singles chart . It received a Gold certification from the RIAA in 1974 and popularized disco music . It eventually went on to sell eleven million records worldwide , making it one of the best - selling singles of all time . The song uses the quintessential Oriental riff , a short musical phrase that is used to signify Chinese culture . </P>
{ "tokens": [ "<P>", "``", "Kung", "Fu", "Fighting", "''", "is", "a", "disco", "song", "by", "Carl", "Douglas", ",", "with", "production", "by", "Biddu", ".", "It", "was", "released", "as", "a", "single", "in", "1974", "on", "the", "cusp", "of", "a", "chopsocky", "film", "craze", "and", "rose", "to", "the", "top", "of", "the", "British", ",", "Australian", "and", "American", "charts", ",", "in", "addition", "to", "reaching", "the", "top", "of", "the", "Soul", "Singles", "chart", ".", "It", "received", "a", "Gold", "certification", "from", "the", "RIAA", "in", "1974", "and", "popularized", "disco", "music", ".", "It", "eventually", "went", "on", "to", "sell", "eleven", "million", "records", "worldwide", ",", "making", "it", "one", "of", "the", "best", "-", "selling", "singles", "of", "all", "time", ".", "The", "song", "uses", "the", "quintessential", "Oriental", "riff", ",", "a", "short", "musical", "phrase", "that", "is", "used", "to", "signify", "Chinese", "culture", ".", "</P>" ], "offsets": [ 0, 4, 7, 12, 15, 24, 27, 30, 32, 38, 43, 46, 51, 59, 61, 66, 77, 80, 86, 88, 91, 95, 104, 107, 109, 116, 119, 124, 127, 131, 136, 139, 141, 151, 156, 162, 166, 171, 174, 178, 182, 185, 189, 197, 199, 210, 214, 223, 230, 232, 235, 244, 247, 256, 260, 264, 267, 271, 276, 284, 290, 292, 295, 304, 306, 311, 325, 330, 334, 339, 342, 347, 351, 363, 369, 375, 377, 380, 391, 396, 399, 402, 407, 414, 422, 430, 440, 442, 449, 452, 456, 459, 463, 468, 470, 478, 486, 489, 493, 498, 500, 504, 509, 514, 518, 533, 542, 547, 549, 551, 557, 565, 572, 577, 580, 585, 588, 596, 604, 612, 614 ] }
f0778f7f5d28472791ef67b8623ed0f8
when did the song kung fu fighting come out
{ "tokens": [ "when", "did", "the", "song", "kung", "fu", "fighting", "come", "out" ], "offsets": [ 0, 5, 9, 13, 18, 23, 26, 35, 40 ] }
{ "text": [ "1974" ], "char_spans": [ { "start": [ 119 ], "end": [ 122 ] } ], "token_spans": [ { "start": [ 26 ], "end": [ 26 ] } ] }
[ "1974" ]
NaturalQuestionsShort
<P> The impact factor ( IF ) or journal impact factor ( JIF ) of an academic journal is a measure reflecting the yearly average number of citations to recent articles published in that journal . It is frequently used as a proxy for the relative importance of a journal within its field ; journals with higher impact factors are often deemed to be more important than those with lower ones . The impact factor was devised by Eugene Garfield , the founder of the Institute for Scientific Information . Impact factors are calculated yearly starting from 1975 for journals listed in the Journal Citation Reports . </P>
{ "tokens": [ "<P>", "The", "impact", "factor", "(", "IF", ")", "or", "journal", "impact", "factor", "(", "JIF", ")", "of", "an", "academic", "journal", "is", "a", "measure", "reflecting", "the", "yearly", "average", "number", "of", "citations", "to", "recent", "articles", "published", "in", "that", "journal", ".", "It", "is", "frequently", "used", "as", "a", "proxy", "for", "the", "relative", "importance", "of", "a", "journal", "within", "its", "field", ";", "journals", "with", "higher", "impact", "factors", "are", "often", "deemed", "to", "be", "more", "important", "than", "those", "with", "lower", "ones", ".", "The", "impact", "factor", "was", "devised", "by", "Eugene", "Garfield", ",", "the", "founder", "of", "the", "Institute", "for", "Scientific", "Information", ".", "Impact", "factors", "are", "calculated", "yearly", "starting", "from", "1975", "for", "journals", "listed", "in", "the", "Journal", "Citation", "Reports", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 22, 24, 27, 29, 32, 40, 47, 54, 56, 60, 62, 65, 68, 77, 85, 88, 90, 98, 109, 113, 120, 128, 135, 138, 148, 151, 158, 167, 177, 180, 185, 193, 195, 198, 201, 212, 217, 220, 222, 228, 232, 236, 245, 256, 259, 261, 269, 276, 280, 286, 288, 297, 302, 309, 316, 324, 328, 334, 341, 344, 347, 352, 362, 367, 373, 378, 384, 389, 391, 395, 402, 409, 413, 421, 424, 431, 440, 442, 446, 454, 457, 461, 471, 475, 486, 498, 500, 507, 515, 519, 530, 537, 546, 551, 556, 560, 569, 576, 579, 583, 591, 600, 608, 610 ] }
c1e7591515f1483db63a75618c9ef875
what does the impact factor of a journal mean
{ "tokens": [ "what", "does", "the", "impact", "factor", "of", "a", "journal", "mean" ], "offsets": [ 0, 5, 10, 14, 21, 28, 31, 33, 41 ] }
{ "text": [ "a measure reflecting the yearly average number of citations to recent articles published in that journal" ], "char_spans": [ { "start": [ 88 ], "end": [ 191 ] } ], "token_spans": [ { "start": [ 19 ], "end": [ 34 ] } ] }
[ "a measure reflecting the yearly average number of citations to recent articles published in that journal" ]
NaturalQuestionsShort
<P> In music , modulation is most commonly the act or process of changing from one key ( tonic , or tonal center ) to another . This may or may not be accompanied by a change in key signature . Modulations articulate or create the structure or form of many pieces , as well as add interest . Treatment of a chord as the tonic for less than a phrase is considered tonicization . </P>
{ "tokens": [ "<P>", "In", "music", ",", "modulation", "is", "most", "commonly", "the", "act", "or", "process", "of", "changing", "from", "one", "key", "(", "tonic", ",", "or", "tonal", "center", ")", "to", "another", ".", "This", "may", "or", "may", "not", "be", "accompanied", "by", "a", "change", "in", "key", "signature", ".", "Modulations", "articulate", "or", "create", "the", "structure", "or", "form", "of", "many", "pieces", ",", "as", "well", "as", "add", "interest", ".", "Treatment", "of", "a", "chord", "as", "the", "tonic", "for", "less", "than", "a", "phrase", "is", "considered", "tonicization", ".", "</P>" ], "offsets": [ 0, 4, 7, 13, 15, 26, 29, 34, 43, 47, 51, 54, 62, 65, 74, 79, 83, 87, 89, 95, 97, 100, 106, 113, 115, 118, 126, 128, 133, 137, 140, 144, 148, 151, 163, 166, 168, 175, 178, 182, 192, 194, 206, 217, 220, 227, 231, 241, 244, 249, 252, 257, 264, 266, 269, 274, 277, 281, 290, 292, 302, 305, 307, 313, 316, 320, 326, 330, 335, 340, 342, 349, 352, 363, 376, 378 ] }
2de5820eb4a4401a8994dc1be46894a0
the shift from one key to another within a composition is called
{ "tokens": [ "the", "shift", "from", "one", "key", "to", "another", "within", "a", "composition", "is", "called" ], "offsets": [ 0, 4, 10, 15, 19, 23, 26, 34, 41, 43, 55, 58 ] }
{ "text": [ "modulation" ], "char_spans": [ { "start": [ 15 ], "end": [ 24 ] } ], "token_spans": [ { "start": [ 4 ], "end": [ 4 ] } ] }
[ "modulation" ]
NaturalQuestionsShort
<Table> <Tr> <Th colspan="2"> Life Unexpected </Th> </Tr> <Tr> <Td colspan="2"> Intertitle </Td> </Tr> <Tr> <Th> Also known as </Th> <Td> ' Light Years LUX ' </Td> </Tr> <Tr> <Th> Genre </Th> <Td> Family Drama Teen Drama </Td> </Tr> <Tr> <Th> Created by </Th> <Td> Liz Tigelaar </Td> </Tr> <Tr> <Th> Creative director ( s ) </Th> <Td> Gary Fleder </Td> </Tr> <Tr> <Th> Starring </Th> <Td> Britt Robertson Shiri Appleby Kristoffer Polaha Austin Basis Kerr Smith Arielle Kebbel </Td> </Tr> <Tr> <Th> Opening theme </Th> <Td> `` Beautiful Tree '' by Rain Perry </Td> </Tr> <Tr> <Th> Composer ( s ) </Th> <Td> David Baerwald Pieter A. Schlosser </Td> </Tr> <Tr> <Th> Country of origin </Th> <Td> United States </Td> </Tr> <Tr> <Th> Original language ( s ) </Th> <Td> English </Td> </Tr> <Tr> <Th> No. of seasons </Th> <Td> </Td> </Tr> <Tr> <Th> No. of episodes </Th> <Td> 26 ( list of episodes ) </Td> </Tr> <Tr> <Th colspan="2"> Production </Th> </Tr> <Tr> <Th> Executive producer ( s ) </Th> <Td> Liz Tigelaar Gary Fleder Janet Leahy </Td> </Tr> <Tr> <Th> Location ( s ) </Th> <Td> Vancouver , British Columbia , Canada </Td> </Tr> <Tr> <Th> Running time </Th> <Td> 42 minutes </Td> </Tr> <Tr> <Th> Production company ( s ) </Th> <Td> Best Day Ever Productions Mojo Films CBS Productions Warner Bros. Television </Td> </Tr> <Tr> <Th> Distributor </Th> <Td> Warner Bros. Television Distribution </Td> </Tr> <Tr> <Th colspan="2"> Release </Th> </Tr> <Tr> <Th> Original network </Th> <Td> The CW </Td> </Tr> <Tr> <Th> Original release </Th> <Td> January 18 , 2010 ( 2010 - 01 - 18 ) -- 2011 ( 2011 ) </Td> </Tr> <Tr> <Td colspan="2"> www.cwtv.com/shows/life-unexpected </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th", "colspan=\"2\">", "Life", "Unexpected", "</Th>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Intertitle", "</Td>", "</Tr>", "<Tr>", "<Th>", "Also", "known", "as", "</Th>", "<Td>", "'", "Light", "Years", "LUX", "'", "</Td>", "</Tr>", "<Tr>", "<Th>", "Genre", "</Th>", "<Td>", "Family", "Drama", "Teen", "Drama", "</Td>", "</Tr>", "<Tr>", "<Th>", "Created", "by", "</Th>", "<Td>", "Liz", "Tigelaar", "</Td>", "</Tr>", "<Tr>", "<Th>", "Creative", "director", "(", "s", ")", "</Th>", "<Td>", "Gary", "Fleder", "</Td>", "</Tr>", "<Tr>", "<Th>", "Starring", "</Th>", "<Td>", "Britt", "Robertson", "Shiri", "Appleby", "Kristoffer", "Polaha", "Austin", "Basis", "Kerr", "Smith", "Arielle", "Kebbel", "</Td>", "</Tr>", "<Tr>", "<Th>", "Opening", "theme", "</Th>", "<Td>", "``", "Beautiful", "Tree", "''", "by", "Rain", "Perry", "</Td>", "</Tr>", "<Tr>", "<Th>", "Composer", "(", "s", ")", "</Th>", "<Td>", "David", "Baerwald", "Pieter", "A.", "Schlosser", "</Td>", "</Tr>", "<Tr>", "<Th>", "Country", "of", "origin", "</Th>", "<Td>", "United", "States", "</Td>", "</Tr>", "<Tr>", "<Th>", "Original", "language", "(", "s", ")", "</Th>", "<Td>", "English", "</Td>", "</Tr>", "<Tr>", "<Th>", "No.", "of", "seasons", "</Th>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "No.", "of", "episodes", "</Th>", "<Td>", "26", "(", "list", "of", "episodes", ")", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Production", "</Th>", "</Tr>", "<Tr>", "<Th>", "Executive", "producer", "(", "s", ")", "</Th>", "<Td>", "Liz", "Tigelaar", "Gary", "Fleder", "Janet", "Leahy", "</Td>", "</Tr>", "<Tr>", "<Th>", "Location", "(", "s", ")", "</Th>", "<Td>", "Vancouver", ",", "British", "Columbia", ",", "Canada", "</Td>", "</Tr>", "<Tr>", "<Th>", "Running", "time", "</Th>", "<Td>", "42", "minutes", "</Td>", "</Tr>", "<Tr>", "<Th>", "Production", "company", "(", "s", ")", "</Th>", "<Td>", "Best", "Day", "Ever", "Productions", "Mojo", "Films", "CBS", "Productions", "Warner", "Bros.", "Television", "</Td>", "</Tr>", "<Tr>", "<Th>", "Distributor", "</Th>", "<Td>", "Warner", "Bros.", "Television", "Distribution", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Release", "</Th>", "</Tr>", "<Tr>", "<Th>", "Original", "network", "</Th>", "<Td>", "The", "CW", "</Td>", "</Tr>", "<Tr>", "<Th>", "Original", "release", "</Th>", "<Td>", "January", "18", ",", "2010", "(", "2010", "-", "01", "-", "18", ")", "--", "2011", "(", "2011", ")", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "www.cwtv.com/shows/life-unexpected", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 17, 30, 35, 46, 52, 58, 63, 67, 80, 91, 97, 103, 108, 113, 118, 124, 127, 133, 138, 140, 146, 152, 156, 158, 164, 170, 175, 180, 186, 192, 197, 204, 210, 215, 221, 227, 233, 238, 243, 251, 254, 260, 265, 269, 278, 284, 290, 295, 300, 309, 318, 320, 322, 324, 330, 335, 340, 347, 353, 359, 364, 369, 378, 384, 389, 395, 405, 411, 419, 430, 437, 444, 450, 455, 461, 469, 476, 482, 488, 493, 498, 506, 512, 518, 523, 526, 536, 541, 544, 547, 552, 558, 564, 570, 575, 580, 589, 591, 593, 595, 601, 606, 612, 621, 628, 631, 641, 647, 653, 658, 663, 671, 674, 681, 687, 692, 699, 706, 712, 718, 723, 728, 737, 746, 748, 750, 752, 758, 763, 771, 777, 783, 788, 793, 797, 800, 808, 814, 819, 825, 831, 836, 841, 845, 848, 857, 863, 868, 871, 873, 878, 881, 890, 892, 898, 904, 909, 913, 926, 937, 943, 949, 954, 959, 969, 978, 980, 982, 984, 990, 995, 999, 1008, 1013, 1020, 1026, 1032, 1038, 1044, 1049, 1054, 1063, 1065, 1067, 1069, 1075, 1080, 1090, 1092, 1100, 1109, 1111, 1118, 1124, 1130, 1135, 1140, 1148, 1153, 1159, 1164, 1167, 1175, 1181, 1187, 1192, 1197, 1208, 1216, 1218, 1220, 1222, 1228, 1233, 1238, 1242, 1247, 1259, 1264, 1270, 1274, 1286, 1293, 1299, 1310, 1316, 1322, 1327, 1332, 1344, 1350, 1355, 1362, 1368, 1379, 1392, 1398, 1404, 1409, 1413, 1426, 1434, 1440, 1446, 1451, 1456, 1465, 1473, 1479, 1484, 1488, 1491, 1497, 1503, 1508, 1513, 1522, 1530, 1536, 1541, 1549, 1552, 1554, 1559, 1561, 1566, 1568, 1571, 1573, 1576, 1578, 1581, 1586, 1588, 1593, 1595, 1601, 1607, 1612, 1616, 1629, 1664, 1670, 1676 ] }
be1e800b012c4d33a527780c36d56c2a
how many episodes in season 2 of life unexpected
{ "tokens": [ "how", "many", "episodes", "in", "season", "2", "of", "life", "unexpected" ], "offsets": [ 0, 4, 9, 18, 21, 28, 30, 33, 38 ] }
{ "text": [ "26" ], "char_spans": [ { "start": [ 868 ], "end": [ 869 ] } ], "token_spans": [ { "start": [ 150 ], "end": [ 150 ] } ] }
[ "26" ]
NaturalQuestionsShort
<Table> <Tr> <Th colspan="2"> Description </Th> <Th> Number </Th> <Th> RGB </Th> <Th> CMYK </Th> <Th> HSV </Th> <Th> Hex </Th> </Tr> <Tr> <Td> </Td> <Td> Fern Green </Td> <Td> 17 - 6153 TC </Td> <Td> 00 0 - 140 - 069 </Td> <Td> 100 - 00 0 - 100 - 045 </Td> <Td> 149 - 100 - 057 </Td> <Td> # 008C45 </Td> </Tr> <Tr> <Td> </Td> <Td> Bright White </Td> <Td> 11 - 0601 TC </Td> <Td> 244 - 245 - 240 </Td> <Td> 00 0 - 00 0 - 00 0 - 00 0 </Td> <Td> 120 - 000 - 095 </Td> <Td> # F4F5F0 </Td> </Tr> <Tr> <Td> </Td> <Td> Flame Scarlet </Td> <Td> 18 - 1662 TC </Td> <Td> 205 - 033 - 042 </Td> <Td> 00 0 - 100 - 100 - 00 0 </Td> <Td> 356 - 079 - 081 </Td> <Td> # CD212A </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th", "colspan=\"2\">", "Description", "</Th>", "<Th>", "Number", "</Th>", "<Th>", "RGB", "</Th>", "<Th>", "CMYK", "</Th>", "<Th>", "HSV", "</Th>", "<Th>", "Hex", "</Th>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Fern", "Green", "</Td>", "<Td>", "17", "-", "6153", "TC", "</Td>", "<Td>", "00", "0", "-", "140", "-", "069", "</Td>", "<Td>", "100", "-", "00", "0", "-", "100", "-", "045", "</Td>", "<Td>", "149", "-", "100", "-", "057", "</Td>", "<Td>", "#", "008C45", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Bright", "White", "</Td>", "<Td>", "11", "-", "0601", "TC", "</Td>", "<Td>", "244", "-", "245", "-", "240", "</Td>", "<Td>", "00", "0", "-", "00", "0", "-", "00", "0", "-", "00", "0", "</Td>", "<Td>", "120", "-", "000", "-", "095", "</Td>", "<Td>", "#", "F4F5F0", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Flame", "Scarlet", "</Td>", "<Td>", "18", "-", "1662", "TC", "</Td>", "<Td>", "205", "-", "033", "-", "042", "</Td>", "<Td>", "00", "0", "-", "100", "-", "100", "-", "00", "0", "</Td>", "<Td>", "356", "-", "079", "-", "081", "</Td>", "<Td>", "#", "CD212A", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 17, 30, 42, 48, 53, 60, 66, 71, 75, 81, 86, 91, 97, 102, 106, 112, 117, 121, 127, 133, 138, 143, 149, 154, 159, 165, 171, 176, 179, 181, 186, 189, 195, 200, 203, 205, 207, 211, 213, 217, 223, 228, 232, 234, 237, 239, 241, 245, 247, 251, 257, 262, 266, 268, 272, 274, 278, 284, 289, 291, 298, 304, 310, 315, 320, 326, 331, 338, 344, 350, 355, 358, 360, 365, 368, 374, 379, 383, 385, 389, 391, 395, 401, 406, 409, 411, 413, 416, 418, 420, 423, 425, 427, 430, 432, 438, 443, 447, 449, 453, 455, 459, 465, 470, 472, 479, 485, 491, 496, 501, 507, 512, 518, 526, 532, 537, 540, 542, 547, 550, 556, 561, 565, 567, 571, 573, 577, 583, 588, 591, 593, 595, 599, 601, 605, 607, 610, 612, 618, 623, 627, 629, 633, 635, 639, 645, 650, 652, 659, 665, 671 ] }
cf3720b1f2c945538edb9796912879ca
what shade of green is in the italian flag
{ "tokens": [ "what", "shade", "of", "green", "is", "in", "the", "italian", "flag" ], "offsets": [ 0, 5, 11, 14, 20, 23, 26, 30, 38 ] }
{ "text": [ "Fern Green" ], "char_spans": [ { "start": [ 154 ], "end": [ 163 ] } ], "token_spans": [ { "start": [ 26 ], "end": [ 27 ] } ] }
[ "Fern Green" ]
NaturalQuestionsShort
<P> In the slum neighborhood of Five Points , Manhattan in 1846 , two gangs have engaged in a final battle ( or `` challenge '' ) in Paradise Square over `` who holds sway over the Five Points '' ; these two factions involved in this event are the nativist , Protestant `` Natives '' led by William `` Bill the Butcher '' Cutting , and the Irish Catholic group of immigrants , the `` Dead Rabbits '' , led by `` Priest '' Vallon . At the end of this battle , Bill kills Vallon and declares the Dead Rabbits outlawed . Having witnessed this , Vallon 's young son hides the knife that killed his father and is taken to an orphanage on Blackwell 's Island . </P>
{ "tokens": [ "<P>", "In", "the", "slum", "neighborhood", "of", "Five", "Points", ",", "Manhattan", "in", "1846", ",", "two", "gangs", "have", "engaged", "in", "a", "final", "battle", "(", "or", "``", "challenge", "''", ")", "in", "Paradise", "Square", "over", "``", "who", "holds", "sway", "over", "the", "Five", "Points", "''", ";", "these", "two", "factions", "involved", "in", "this", "event", "are", "the", "nativist", ",", "Protestant", "``", "Natives", "''", "led", "by", "William", "``", "Bill", "the", "Butcher", "''", "Cutting", ",", "and", "the", "Irish", "Catholic", "group", "of", "immigrants", ",", "the", "``", "Dead", "Rabbits", "''", ",", "led", "by", "``", "Priest", "''", "Vallon", ".", "At", "the", "end", "of", "this", "battle", ",", "Bill", "kills", "Vallon", "and", "declares", "the", "Dead", "Rabbits", "outlawed", ".", "Having", "witnessed", "this", ",", "Vallon", "'s", "young", "son", "hides", "the", "knife", "that", "killed", "his", "father", "and", "is", "taken", "to", "an", "orphanage", "on", "Blackwell", "'s", "Island", ".", "</P>" ], "offsets": [ 0, 4, 7, 11, 16, 29, 32, 37, 44, 46, 56, 59, 64, 66, 70, 76, 81, 89, 92, 94, 100, 107, 109, 112, 115, 125, 128, 130, 133, 142, 149, 154, 157, 161, 167, 172, 177, 181, 186, 193, 196, 198, 204, 208, 217, 226, 229, 234, 240, 244, 248, 257, 259, 270, 273, 281, 284, 288, 291, 299, 302, 307, 311, 319, 322, 330, 332, 336, 340, 346, 355, 361, 364, 375, 377, 381, 384, 389, 397, 400, 402, 406, 409, 412, 419, 422, 429, 431, 434, 438, 442, 445, 450, 457, 459, 464, 470, 477, 481, 490, 494, 499, 507, 516, 518, 525, 535, 540, 542, 549, 552, 558, 562, 568, 572, 578, 583, 590, 594, 601, 605, 608, 614, 617, 620, 630, 633, 643, 646, 653, 655 ] }
eb676721a9ca42089940be25af4632d9
what were the gangs in gangs of new york
{ "tokens": [ "what", "were", "the", "gangs", "in", "gangs", "of", "new", "york" ], "offsets": [ 0, 5, 10, 14, 20, 23, 29, 32, 36 ] }
{ "text": [ "the nativist , Protestant `` Natives '' led by William `` Bill the Butcher '' Cutting", "the Irish Catholic group of immigrants , the `` Dead Rabbits '' , led by `` Priest '' Vallon" ], "char_spans": [ { "start": [ 244 ], "end": [ 328 ] }, { "start": [ 336 ], "end": [ 427 ] } ], "token_spans": [ { "start": [ 49 ], "end": [ 64 ] }, { "start": [ 67 ], "end": [ 85 ] } ] }
[ "the nativist , Protestant `` Natives '' led by William `` Bill the Butcher '' Cutting", "the Irish Catholic group of immigrants , the `` Dead Rabbits '' , led by `` Priest '' Vallon" ]
NaturalQuestionsShort
<P> `` The Devil Went Down to Georgia '' is a song written and performed by the Charlie Daniels Band and released on their 1979 album Million Mile Reflections . </P>
{ "tokens": [ "<P>", "``", "The", "Devil", "Went", "Down", "to", "Georgia", "''", "is", "a", "song", "written", "and", "performed", "by", "the", "Charlie", "Daniels", "Band", "and", "released", "on", "their", "1979", "album", "Million", "Mile", "Reflections", ".", "</P>" ], "offsets": [ 0, 4, 7, 11, 17, 22, 27, 30, 38, 41, 44, 46, 51, 59, 63, 73, 76, 80, 88, 96, 101, 105, 114, 117, 123, 128, 134, 142, 147, 159, 161 ] }
722aea8baec04cba8c5f74bfaaaef763
who is the original singer of devil went down to georgia
{ "tokens": [ "who", "is", "the", "original", "singer", "of", "devil", "went", "down", "to", "georgia" ], "offsets": [ 0, 4, 7, 11, 20, 27, 30, 36, 41, 46, 49 ] }
{ "text": [ "the Charlie Daniels Band" ], "char_spans": [ { "start": [ 76 ], "end": [ 99 ] } ], "token_spans": [ { "start": [ 16 ], "end": [ 19 ] } ] }
[ "the Charlie Daniels Band" ]
NaturalQuestionsShort
<P> After the humiliating defeat inflicted by Mir Jumla the Ahom king Jayadhwaj Singha died in despair . On his deathbed , he exhorted his cousin and successor Chakradhwaj Singha to `` remove the spear of humiliation from the bosom of the nation . '' There followed a complete overhaul of the Ahom kingdom . People who had dispersed due to Mir Jumla 's invasion were rehabilitated in the appropriate khels , food and military productions were increased , new forts were constructed and garrisoned and an experditionary army was organized under a new commander -- Lachit Borphukan . Alliances were renewed with the Jaintia and the Kachari kingdoms . During this period Mughal imperial demands were tactfully and diplomatically rebuffed , but when the new faujdar of Guwahati , Firuz Khan , forced the matter in March 1667 , the Ahoms were compelled to move . In August 1667 the Ahom army , under Lachit Borphukan and accompanied by Atan Burhagohain , sailed downstream to retake Guwahati . </P>
{ "tokens": [ "<P>", "After", "the", "humiliating", "defeat", "inflicted", "by", "Mir", "Jumla", "the", "Ahom", "king", "Jayadhwaj", "Singha", "died", "in", "despair", ".", "On", "his", "deathbed", ",", "he", "exhorted", "his", "cousin", "and", "successor", "Chakradhwaj", "Singha", "to", "``", "remove", "the", "spear", "of", "humiliation", "from", "the", "bosom", "of", "the", "nation", ".", "''", "There", "followed", "a", "complete", "overhaul", "of", "the", "Ahom", "kingdom", ".", "People", "who", "had", "dispersed", "due", "to", "Mir", "Jumla", "'s", "invasion", "were", "rehabilitated", "in", "the", "appropriate", "khels", ",", "food", "and", "military", "productions", "were", "increased", ",", "new", "forts", "were", "constructed", "and", "garrisoned", "and", "an", "experditionary", "army", "was", "organized", "under", "a", "new", "commander", "--", "Lachit", "Borphukan", ".", "Alliances", "were", "renewed", "with", "the", "Jaintia", "and", "the", "Kachari", "kingdoms", ".", "During", "this", "period", "Mughal", "imperial", "demands", "were", "tactfully", "and", "diplomatically", "rebuffed", ",", "but", "when", "the", "new", "faujdar", "of", "Guwahati", ",", "Firuz", "Khan", ",", "forced", "the", "matter", "in", "March", "1667", ",", "the", "Ahoms", "were", "compelled", "to", "move", ".", "In", "August", "1667", "the", "Ahom", "army", ",", "under", "Lachit", "Borphukan", "and", "accompanied", "by", "Atan", "Burhagohain", ",", "sailed", "downstream", "to", "retake", "Guwahati", ".", "</P>" ], "offsets": [ 0, 4, 10, 14, 26, 33, 43, 46, 50, 56, 60, 65, 70, 80, 87, 92, 95, 103, 105, 108, 112, 121, 123, 126, 135, 139, 146, 150, 160, 172, 179, 182, 185, 192, 196, 202, 205, 217, 222, 226, 232, 235, 239, 246, 248, 251, 257, 266, 268, 277, 286, 289, 293, 298, 306, 308, 315, 319, 323, 333, 337, 340, 344, 350, 353, 362, 367, 381, 384, 388, 400, 406, 408, 413, 417, 426, 438, 443, 453, 455, 459, 465, 470, 482, 486, 497, 501, 504, 519, 524, 528, 538, 544, 546, 550, 560, 563, 570, 580, 582, 592, 597, 605, 610, 614, 622, 626, 630, 638, 647, 649, 656, 661, 668, 675, 684, 692, 697, 707, 711, 726, 735, 737, 741, 746, 750, 754, 762, 765, 774, 776, 782, 787, 789, 796, 800, 807, 810, 816, 821, 823, 827, 833, 838, 848, 851, 856, 858, 861, 868, 873, 877, 882, 887, 889, 895, 902, 912, 916, 928, 931, 936, 948, 950, 957, 968, 971, 978, 987, 989 ] }
b774e3ee6bc44f898e9036d63d5e8b0a
who was the ahom king during the battle of saraighat
{ "tokens": [ "who", "was", "the", "ahom", "king", "during", "the", "battle", "of", "saraighat" ], "offsets": [ 0, 4, 8, 12, 17, 22, 29, 33, 40, 43 ] }
{ "text": [ "Mir Jumla" ], "char_spans": [ { "start": [ 46 ], "end": [ 54 ] } ], "token_spans": [ { "start": [ 7 ], "end": [ 8 ] } ] }
[ "Mir Jumla" ]
NaturalQuestionsShort
<P> Earth currently has an axial tilt of about 23.4 ° . This value remains about the same relative to a stationary orbital plane throughout the cycles of axial precession . But the ecliptic ( i.e. , Earth 's orbit ) moves due to planetary perturbations , and the obliquity of the ecliptic is not a fixed quantity . At present , it is decreasing at a rate of about 47 '' per century ( see details in Short term below ) . </P>
{ "tokens": [ "<P>", "Earth", "currently", "has", "an", "axial", "tilt", "of", "about", "23.4", "°", ".", "This", "value", "remains", "about", "the", "same", "relative", "to", "a", "stationary", "orbital", "plane", "throughout", "the", "cycles", "of", "axial", "precession", ".", "But", "the", "ecliptic", "(", "i.e.", ",", "Earth", "'s", "orbit", ")", "moves", "due", "to", "planetary", "perturbations", ",", "and", "the", "obliquity", "of", "the", "ecliptic", "is", "not", "a", "fixed", "quantity", ".", "At", "present", ",", "it", "is", "decreasing", "at", "a", "rate", "of", "about", "47", "''", "per", "century", "(", "see", "details", "in", "Short", "term", "below", ")", ".", "</P>" ], "offsets": [ 0, 4, 10, 20, 24, 27, 33, 38, 41, 47, 52, 54, 56, 61, 67, 75, 81, 85, 90, 99, 102, 104, 115, 123, 129, 140, 144, 151, 154, 160, 171, 173, 177, 181, 190, 192, 197, 199, 205, 208, 214, 216, 222, 226, 229, 239, 253, 255, 259, 263, 273, 276, 280, 289, 292, 296, 298, 304, 313, 315, 318, 326, 328, 331, 334, 345, 348, 350, 355, 358, 364, 367, 370, 374, 382, 384, 388, 396, 399, 405, 410, 416, 418, 420 ] }
2c15c18215d949b0b515b1681835e7b6
the earth is tilted on its axis at an angle of
{ "tokens": [ "the", "earth", "is", "tilted", "on", "its", "axis", "at", "an", "angle", "of" ], "offsets": [ 0, 4, 10, 13, 20, 23, 27, 32, 35, 38, 44 ] }
{ "text": [ "about 23.4 °" ], "char_spans": [ { "start": [ 41 ], "end": [ 52 ] } ], "token_spans": [ { "start": [ 8 ], "end": [ 10 ] } ] }
[ "about 23.4 °" ]
NaturalQuestionsShort
<Li> Anton Yelchin and Emile Hirsch as James `` Jim '' Lake Jr . / Trollhunter , the first human Trollhunter and a reluctant hero dealing with the pressures of leading a double life . He has a talent for cooking and eventually sword - fighting , and cares deeply for his mother and friends . Yelchin provided the voice for Jim from Part 1 , through portions of Part 3 before he passed away . Hirsch assumed the role following Yelchin 's passing . </Li>
{ "tokens": [ "<Li>", "Anton", "Yelchin", "and", "Emile", "Hirsch", "as", "James", "``", "Jim", "''", "Lake", "Jr", ".", "/", "Trollhunter", ",", "the", "first", "human", "Trollhunter", "and", "a", "reluctant", "hero", "dealing", "with", "the", "pressures", "of", "leading", "a", "double", "life", ".", "He", "has", "a", "talent", "for", "cooking", "and", "eventually", "sword", "-", "fighting", ",", "and", "cares", "deeply", "for", "his", "mother", "and", "friends", ".", "Yelchin", "provided", "the", "voice", "for", "Jim", "from", "Part", "1", ",", "through", "portions", "of", "Part", "3", "before", "he", "passed", "away", ".", "Hirsch", "assumed", "the", "role", "following", "Yelchin", "'s", "passing", ".", "</Li>" ], "offsets": [ 0, 5, 11, 19, 23, 29, 36, 39, 45, 48, 52, 55, 60, 63, 65, 67, 79, 81, 85, 91, 97, 109, 113, 115, 125, 130, 138, 143, 147, 157, 160, 168, 170, 177, 182, 184, 187, 191, 193, 200, 204, 212, 216, 227, 233, 235, 244, 246, 250, 256, 263, 267, 271, 278, 282, 290, 292, 300, 309, 313, 319, 323, 327, 332, 337, 339, 341, 349, 358, 361, 366, 368, 375, 378, 385, 390, 392, 399, 407, 411, 416, 426, 434, 437, 445, 447 ] }
1a2a9a15ab804aad8ef102451e4cd902
who plays jim in season 3 of trollhunters
{ "tokens": [ "who", "plays", "jim", "in", "season", "3", "of", "trollhunters" ], "offsets": [ 0, 4, 10, 14, 17, 24, 26, 29 ] }
{ "text": [ "Emile Hirsch" ], "char_spans": [ { "start": [ 23 ], "end": [ 34 ] } ], "token_spans": [ { "start": [ 4 ], "end": [ 5 ] } ] }
[ "Emile Hirsch" ]
NaturalQuestionsShort
<Ul> <Li> Dove Cameron as Liv and Maddie Rooney </Li> <Li> Joey Bragg as Joey Rooney </Li> <Li> Tenzing Norgay Trainor as Parker Rooney </Li> <Li> Kali Rocha as Karen Rooney </Li> <Li> Benjamin King as Pete Rooney ( seasons 1 -- 3 ) </Li> <Li> Lauren Lindsey Donzis as Ruby ( season 4 ) </Li> </Ul>
{ "tokens": [ "<Ul>", "<Li>", "Dove", "Cameron", "as", "Liv", "and", "Maddie", "Rooney", "</Li>", "<Li>", "Joey", "Bragg", "as", "Joey", "Rooney", "</Li>", "<Li>", "Tenzing", "Norgay", "Trainor", "as", "Parker", "Rooney", "</Li>", "<Li>", "Kali", "Rocha", "as", "Karen", "Rooney", "</Li>", "<Li>", "Benjamin", "King", "as", "Pete", "Rooney", "(", "seasons", "1", "--", "3", ")", "</Li>", "<Li>", "Lauren", "Lindsey", "Donzis", "as", "Ruby", "(", "season", "4", ")", "</Li>", "</Ul>" ], "offsets": [ 0, 5, 10, 15, 23, 26, 30, 34, 41, 48, 54, 59, 64, 70, 73, 78, 85, 91, 96, 104, 111, 119, 122, 129, 136, 142, 147, 152, 158, 161, 167, 174, 180, 185, 194, 199, 202, 207, 214, 216, 224, 226, 229, 231, 233, 239, 244, 251, 259, 266, 269, 274, 276, 283, 285, 287, 293 ] }
f073dc03d1de45ebb555232f75fd79d6
who are the actresses that play liv and maddie
{ "tokens": [ "who", "are", "the", "actresses", "that", "play", "liv", "and", "maddie" ], "offsets": [ 0, 4, 8, 12, 22, 27, 32, 36, 40 ] }
{ "text": [ "Dove Cameron" ], "char_spans": [ { "start": [ 10 ], "end": [ 21 ] } ], "token_spans": [ { "start": [ 2 ], "end": [ 3 ] } ] }
[ "Dove Cameron" ]
NaturalQuestionsShort
<Table> Karnataka Legislative Assembly election , 2018 <Tr> <Td colspan="2"> </Td> </Tr> <Tr> <Td colspan="2"> <Table> <Tr> <Td> ← 2013 </Td> <Td> 12 May 2018 ( 222 seats ) 28 May 2018 ( 1 seat ) 11 June 2018 ( 1 seat ) </Td> <Td> 2023 → </Td> </Tr> </Table> </Td> </Tr> <Tr> <Th colspan="2"> 224 of 224 seats in the Karnataka Legislative Assembly 113 seats needed for a majority </Th> </Tr> <Tr> <Td colspan="2"> Opinion polls </Td> </Tr> <Tr> <Th> Turnout </Th> <Td> 72.13 % </Td> </Tr> <Tr> <Td colspan="2"> <Table> <Tr> <Th> </Th> <Th> Majority party </Th> <Th> Minority party </Th> <Th> Third party </Th> </Tr> <Tr> <Td> </Td> <Td> </Td> <Td> </Td> <Td> </Td> </Tr> <Tr> <Th> Leader </Th> <Td> B.S. Yeddyurappa </Td> <Td> Siddaramaiah </Td> <Td> H.D. Kumaraswamy </Td> </Tr> <Tr> <Th> Party </Th> <Td> BJP </Td> <Td> INC </Td> <Td> JD ( S ) </Td> </Tr> <Tr> <Th> Alliance </Th> <Td> </Td> <Td> </Td> <Td> JD ( S ) + BSP </Td> </Tr> <Tr> <Th> Leader 's seat </Th> <Td> Shikaripura </Td> <Td> Badami </Td> <Td> Channapatna </Td> </Tr> <Tr> <Th> Seats before </Th> <Td> 40 </Td> <Td> 122 </Td> <Td> 40 </Td> </Tr> <Tr> <Th> Seats won </Th> <Td> 104 </Td> <Td> 80 </Td> <Td> 37 + 1 ( BSP ) </Td> </Tr> <Tr> <Th> Seat change </Th> <Td> 64 </Td> <Td> 42 </Td> <Td> </Td> </Tr> <Tr> <Th> Popular vote </Th> <Td> 13,267,956 </Td> <Td> 13,932,069 </Td> <Td> 6,726,667 </Td> </Tr> <Tr> <Th> Percentage </Th> <Td> 36.34 % </Td> <Td> 38.14 % </Td> <Td> 18.3 % </Td> </Tr> <Tr> <Th> Swing </Th> <Td> 16.3 % </Td> <Td> 1.4 % </Td> <Td> 1.9 % </Td> </Tr> </Table> </Td> </Tr> <Tr> <Td colspan="2"> Results of the election </Td> </Tr> <Tr> <Td colspan="2"> <Table> <Tr> <Td> Chief Minister before election <P> Siddaramaiah INC </P> </Td> <Td> Elected Chief Minister <P> B.S. Yeddyurappa , BJP H.D. Kumaraswamy JD ( S ) + INC </P> </Td> </Tr> </Table> </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "Karnataka", "Legislative", "Assembly", "election", ",", "2018", "<Tr>", "<Td", "colspan=\"2\">", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Table>", "<Tr>", "<Td>", "←", "2013", "</Td>", "<Td>", "12", "May", "2018", "(", "222", "seats", ")", "28", "May", "2018", "(", "1", "seat", ")", "11", "June", "2018", "(", "1", "seat", ")", "</Td>", "<Td>", "2023", "→", "</Td>", "</Tr>", "</Table>", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "224", "of", "224", "seats", "in", "the", "Karnataka", "Legislative", "Assembly", "113", "seats", "needed", "for", "a", "majority", "</Th>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Opinion", "polls", "</Td>", "</Tr>", "<Tr>", "<Th>", "Turnout", "</Th>", "<Td>", "72.13", "%", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Table>", "<Tr>", "<Th>", "</Th>", "<Th>", "Majority", "party", "</Th>", "<Th>", "Minority", "party", "</Th>", "<Th>", "Third", "party", "</Th>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "</Td>", "<Td>", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "Leader", "</Th>", "<Td>", "B.S.", "Yeddyurappa", "</Td>", "<Td>", "Siddaramaiah", "</Td>", "<Td>", "H.D.", "Kumaraswamy", "</Td>", "</Tr>", "<Tr>", "<Th>", "Party", "</Th>", "<Td>", "BJP", "</Td>", "<Td>", "INC", "</Td>", "<Td>", "JD", "(", "S", ")", "</Td>", "</Tr>", "<Tr>", "<Th>", "Alliance", "</Th>", "<Td>", "</Td>", "<Td>", "</Td>", "<Td>", "JD", "(", "S", ")", "+", "BSP", "</Td>", "</Tr>", "<Tr>", "<Th>", "Leader", "'s", "seat", "</Th>", "<Td>", "Shikaripura", "</Td>", "<Td>", "Badami", "</Td>", "<Td>", "Channapatna", "</Td>", "</Tr>", "<Tr>", "<Th>", "Seats", "before", "</Th>", "<Td>", "40", "</Td>", "<Td>", "122", "</Td>", "<Td>", "40", "</Td>", "</Tr>", "<Tr>", "<Th>", "Seats", "won", "</Th>", "<Td>", "104", "</Td>", "<Td>", "80", "</Td>", "<Td>", "37", "+", "1", "(", "BSP", ")", "</Td>", "</Tr>", "<Tr>", "<Th>", "Seat", "change", "</Th>", "<Td>", "64", "</Td>", "<Td>", "42", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Th>", "Popular", "vote", "</Th>", "<Td>", "13,267,956", "</Td>", "<Td>", "13,932,069", "</Td>", "<Td>", "6,726,667", "</Td>", "</Tr>", "<Tr>", "<Th>", "Percentage", "</Th>", "<Td>", "36.34", "%", "</Td>", "<Td>", "38.14", "%", "</Td>", "<Td>", "18.3", "%", "</Td>", "</Tr>", "<Tr>", "<Th>", "Swing", "</Th>", "<Td>", "16.3", "%", "</Td>", "<Td>", "1.4", "%", "</Td>", "<Td>", "1.9", "%", "</Td>", "</Tr>", "</Table>", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Results", "of", "the", "election", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Table>", "<Tr>", "<Td>", "Chief", "Minister", "before", "election", "<P>", "Siddaramaiah", "INC", "</P>", "</Td>", "<Td>", "Elected", "Chief", "Minister", "<P>", "B.S.", "Yeddyurappa", ",", "BJP", "H.D.", "Kumaraswamy", "JD", "(", "S", ")", "+", "INC", "</P>", "</Td>", "</Tr>", "</Table>", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 18, 30, 39, 48, 50, 55, 60, 64, 77, 83, 89, 94, 98, 111, 119, 124, 129, 131, 136, 142, 147, 150, 154, 159, 161, 165, 171, 173, 176, 180, 185, 187, 189, 194, 196, 199, 204, 209, 211, 213, 218, 220, 226, 231, 236, 238, 244, 250, 259, 265, 271, 276, 280, 293, 297, 300, 304, 310, 313, 317, 327, 339, 348, 352, 358, 365, 369, 371, 380, 386, 392, 397, 401, 414, 422, 428, 434, 440, 445, 450, 458, 464, 469, 475, 477, 483, 489, 494, 498, 511, 519, 524, 529, 535, 540, 549, 555, 561, 566, 575, 581, 587, 592, 598, 604, 610, 616, 621, 626, 632, 637, 643, 648, 654, 659, 665, 671, 676, 681, 688, 694, 699, 704, 716, 722, 727, 740, 746, 751, 756, 768, 774, 780, 785, 790, 796, 802, 807, 811, 817, 822, 826, 832, 837, 840, 842, 844, 846, 852, 858, 863, 868, 877, 883, 888, 894, 899, 905, 910, 913, 915, 917, 919, 921, 925, 931, 937, 942, 947, 954, 957, 962, 968, 973, 985, 991, 996, 1003, 1009, 1014, 1026, 1032, 1038, 1043, 1048, 1054, 1061, 1067, 1072, 1075, 1081, 1086, 1090, 1096, 1101, 1104, 1110, 1116, 1121, 1126, 1132, 1136, 1142, 1147, 1151, 1157, 1162, 1165, 1171, 1176, 1179, 1181, 1183, 1185, 1189, 1191, 1197, 1203, 1208, 1213, 1218, 1225, 1231, 1236, 1239, 1245, 1250, 1253, 1259, 1264, 1270, 1276, 1281, 1286, 1294, 1299, 1305, 1310, 1321, 1327, 1332, 1343, 1349, 1354, 1364, 1370, 1376, 1381, 1386, 1397, 1403, 1408, 1414, 1416, 1422, 1427, 1433, 1435, 1441, 1446, 1451, 1453, 1459, 1465, 1470, 1475, 1481, 1487, 1492, 1497, 1499, 1505, 1510, 1514, 1516, 1522, 1527, 1531, 1533, 1539, 1545, 1554, 1560, 1566, 1571, 1575, 1588, 1596, 1599, 1603, 1612, 1618, 1624, 1629, 1633, 1646, 1654, 1659, 1664, 1670, 1679, 1686, 1695, 1699, 1712, 1716, 1721, 1727, 1732, 1740, 1746, 1755, 1759, 1764, 1776, 1778, 1782, 1787, 1799, 1802, 1804, 1806, 1808, 1810, 1814, 1819, 1825, 1831, 1840, 1846, 1852 ] }
f57e6fa4184e442188671b7a7582d0bf
how many seats bjp won in karnataka 2018 election
{ "tokens": [ "how", "many", "seats", "bjp", "won", "in", "karnataka", "2018", "election" ], "offsets": [ 0, 4, 9, 15, 19, 23, 26, 36, 41 ] }
{ "text": [ "104" ], "char_spans": [ { "start": [ 1147 ], "end": [ 1149 ] } ], "token_spans": [ { "start": [ 205 ], "end": [ 205 ] } ] }
[ "104" ]
NaturalQuestionsShort
<Li> Paul Kligman voices : <Ul> <Li> Donner , Rudolph 's father and Santa 's most prized reindeer . While he loves and accepts Rudolph , he shows great concern that society will reject him for his nose and tries to protect him by creating a nose cover . </Li> <Li> Comet , head coach of the Reindeer Games . </Li> <Li> Clarice 's unnamed father , who forbids Clarice from shaming the family by associating with a red - nosed reindeer . </Li> </Ul> </Li>
{ "tokens": [ "<Li>", "Paul", "Kligman", "voices", ":", "<Ul>", "<Li>", "Donner", ",", "Rudolph", "'s", "father", "and", "Santa", "'s", "most", "prized", "reindeer", ".", "While", "he", "loves", "and", "accepts", "Rudolph", ",", "he", "shows", "great", "concern", "that", "society", "will", "reject", "him", "for", "his", "nose", "and", "tries", "to", "protect", "him", "by", "creating", "a", "nose", "cover", ".", "</Li>", "<Li>", "Comet", ",", "head", "coach", "of", "the", "Reindeer", "Games", ".", "</Li>", "<Li>", "Clarice", "'s", "unnamed", "father", ",", "who", "forbids", "Clarice", "from", "shaming", "the", "family", "by", "associating", "with", "a", "red", "-", "nosed", "reindeer", ".", "</Li>", "</Ul>", "</Li>" ], "offsets": [ 0, 5, 10, 18, 25, 27, 32, 37, 44, 46, 54, 57, 64, 68, 74, 77, 82, 89, 98, 100, 106, 109, 115, 119, 127, 135, 137, 140, 146, 152, 160, 165, 173, 178, 185, 189, 193, 197, 202, 206, 212, 215, 223, 227, 230, 239, 241, 246, 252, 254, 260, 265, 271, 273, 278, 284, 287, 291, 300, 306, 308, 314, 319, 327, 330, 338, 345, 347, 351, 359, 367, 372, 380, 384, 391, 394, 406, 411, 413, 417, 419, 425, 434, 436, 442, 448 ] }
e6fa29adfc464d18a0b98234cbc4560c
what is the name of the reindeer coach in rudolph
{ "tokens": [ "what", "is", "the", "name", "of", "the", "reindeer", "coach", "in", "rudolph" ], "offsets": [ 0, 5, 8, 12, 17, 20, 24, 33, 39, 42 ] }
{ "text": [ "Comet" ], "char_spans": [ { "start": [ 265 ], "end": [ 269 ] } ], "token_spans": [ { "start": [ 51 ], "end": [ 51 ] } ] }
[ "Comet" ]
NaturalQuestionsShort
<P> `` Heavy Is the Head '' is a song recorded by American country music group Zac Brown Band . It was released on March 6 , 2015 as the second single from the band 's fourth studio album , Jekyll + Hyde , released on April 28 , 2015 . It features vocals from Chris Cornell , and was released to rock radio , rather than country . </P>
{ "tokens": [ "<P>", "``", "Heavy", "Is", "the", "Head", "''", "is", "a", "song", "recorded", "by", "American", "country", "music", "group", "Zac", "Brown", "Band", ".", "It", "was", "released", "on", "March", "6", ",", "2015", "as", "the", "second", "single", "from", "the", "band", "'s", "fourth", "studio", "album", ",", "Jekyll", "+", "Hyde", ",", "released", "on", "April", "28", ",", "2015", ".", "It", "features", "vocals", "from", "Chris", "Cornell", ",", "and", "was", "released", "to", "rock", "radio", ",", "rather", "than", "country", ".", "</P>" ], "offsets": [ 0, 4, 7, 13, 16, 20, 25, 28, 31, 33, 38, 47, 50, 59, 67, 73, 79, 83, 89, 94, 96, 99, 103, 112, 115, 121, 123, 125, 130, 133, 137, 144, 151, 156, 160, 165, 168, 175, 182, 188, 190, 197, 199, 204, 206, 215, 218, 224, 227, 229, 234, 236, 239, 248, 255, 260, 266, 274, 276, 280, 284, 293, 296, 301, 307, 309, 316, 321, 329, 331 ] }
af92f02a1dd543579f7155159fdd5a0f
who sings heavy is the head that wears the crown
{ "tokens": [ "who", "sings", "heavy", "is", "the", "head", "that", "wears", "the", "crown" ], "offsets": [ 0, 4, 10, 16, 19, 23, 28, 33, 39, 43 ] }
{ "text": [ "Zac Brown Band", "Chris Cornell" ], "char_spans": [ { "start": [ 79 ], "end": [ 92 ] }, { "start": [ 260 ], "end": [ 272 ] } ], "token_spans": [ { "start": [ 16 ], "end": [ 18 ] }, { "start": [ 55 ], "end": [ 56 ] } ] }
[ "Zac Brown Band", "Chris Cornell" ]
NaturalQuestionsShort
<P> Starry Night Over the Rhône ( September 1888 ) is one of Vincent van Gogh 's paintings of Arles at nighttime . It was painted at a spot on the bank of the Rhône that was only a one or two - minute walk from the Yellow House on the Place Lamartine which Van Gogh was renting at the time . The night sky and the effects of light at night provided the subject for some of his more famous paintings , including Cafe Terrace at Night ( painted earlier the same month ) and the later canvas from Saint - Rémy , The Starry Night . </P>
{ "tokens": [ "<P>", "Starry", "Night", "Over", "the", "Rhône", "(", "September", "1888", ")", "is", "one", "of", "Vincent", "van", "Gogh", "'s", "paintings", "of", "Arles", "at", "nighttime", ".", "It", "was", "painted", "at", "a", "spot", "on", "the", "bank", "of", "the", "Rhône", "that", "was", "only", "a", "one", "or", "two", "-", "minute", "walk", "from", "the", "Yellow", "House", "on", "the", "Place", "Lamartine", "which", "Van", "Gogh", "was", "renting", "at", "the", "time", ".", "The", "night", "sky", "and", "the", "effects", "of", "light", "at", "night", "provided", "the", "subject", "for", "some", "of", "his", "more", "famous", "paintings", ",", "including", "Cafe", "Terrace", "at", "Night", "(", "painted", "earlier", "the", "same", "month", ")", "and", "the", "later", "canvas", "from", "Saint", "-", "Rémy", ",", "The", "Starry", "Night", ".", "</P>" ], "offsets": [ 0, 4, 11, 17, 22, 26, 32, 34, 44, 49, 51, 54, 58, 61, 69, 73, 78, 81, 91, 94, 100, 103, 113, 115, 118, 122, 130, 133, 135, 140, 143, 147, 152, 155, 159, 165, 170, 174, 179, 181, 185, 188, 192, 194, 201, 206, 211, 215, 222, 228, 231, 235, 241, 251, 257, 261, 266, 270, 278, 281, 285, 290, 292, 296, 302, 306, 310, 314, 322, 325, 331, 334, 340, 349, 353, 361, 365, 370, 373, 377, 382, 389, 399, 401, 411, 416, 424, 427, 433, 435, 443, 451, 455, 460, 466, 468, 472, 476, 482, 489, 494, 500, 502, 507, 509, 513, 520, 526, 528 ] }
5b3db7895f4e49d79368cb2d2fa92e98
where was starry night over the rhone painted
{ "tokens": [ "where", "was", "starry", "night", "over", "the", "rhone", "painted" ], "offsets": [ 0, 6, 10, 17, 23, 28, 32, 38 ] }
{ "text": [ "at a spot on the bank of the Rhône" ], "char_spans": [ { "start": [ 130 ], "end": [ 163 ] } ], "token_spans": [ { "start": [ 26 ], "end": [ 34 ] } ] }
[ "at a spot on the bank of the Rhône" ]
NaturalQuestionsShort
<P> The Lost Decade or the Lost 10 Years ( 失 われ た 十 年 , Ushinawareta Jūnen ) is a period of economic stagnation in Japan following the Japanese asset price bubble 's collapse in late 1991 and early 1992 . The term originally referred to the years from 1991 to 2000 , but recently the decade from 2001 to 2010 is often included , so that the whole period is referred to as the Lost Score or the Lost 20 Years ( 失 われ た 二 十 年 , Ushinawareta Nijūnen ) . Broadly impacting the entire Japanese economy , over the period of 1995 to 2007 , GDP fell from $5.33 to $4.36 trillion in nominal terms , real wages fell around 5 % , while the country experienced a stagnant price level . While there is some debate on the extent and measurement of Japan 's setbacks , the economic effect of the Lost Decade is well established and Japanese policymakers continue to grapple with its consequences . It took longer to recover from the impact of these events because the conditions imposed by the new environment were not favorable to the Japanese management style at that time . </P>
{ "tokens": [ "<P>", "The", "Lost", "Decade", "or", "the", "Lost", "10", "Years", "(", "失", "われ", "た", "十", "年", ",", "Ushinawareta", "Jūnen", ")", "is", "a", "period", "of", "economic", "stagnation", "in", "Japan", "following", "the", "Japanese", "asset", "price", "bubble", "'s", "collapse", "in", "late", "1991", "and", "early", "1992", ".", "The", "term", "originally", "referred", "to", "the", "years", "from", "1991", "to", "2000", ",", "but", "recently", "the", "decade", "from", "2001", "to", "2010", "is", "often", "included", ",", "so", "that", "the", "whole", "period", "is", "referred", "to", "as", "the", "Lost", "Score", "or", "the", "Lost", "20", "Years", "(", "失", "われ", "た", "二", "十", "年", ",", "Ushinawareta", "Nijūnen", ")", ".", "Broadly", "impacting", "the", "entire", "Japanese", "economy", ",", "over", "the", "period", "of", "1995", "to", "2007", ",", "GDP", "fell", "from", "$5.33", "to", "$4.36", "trillion", "in", "nominal", "terms", ",", "real", "wages", "fell", "around", "5", "%", ",", "while", "the", "country", "experienced", "a", "stagnant", "price", "level", ".", "While", "there", "is", "some", "debate", "on", "the", "extent", "and", "measurement", "of", "Japan", "'s", "setbacks", ",", "the", "economic", "effect", "of", "the", "Lost", "Decade", "is", "well", "established", "and", "Japanese", "policymakers", "continue", "to", "grapple", "with", "its", "consequences", ".", "It", "took", "longer", "to", "recover", "from", "the", "impact", "of", "these", "events", "because", "the", "conditions", "imposed", "by", "the", "new", "environment", "were", "not", "favorable", "to", "the", "Japanese", "management", "style", "at", "that", "time", ".", "</P>" ], "offsets": [ 0, 4, 8, 13, 20, 23, 27, 32, 35, 41, 43, 45, 48, 50, 52, 54, 56, 69, 75, 77, 80, 82, 89, 92, 101, 112, 115, 121, 131, 135, 144, 150, 156, 163, 166, 175, 178, 183, 188, 192, 198, 203, 205, 209, 214, 225, 234, 237, 241, 247, 252, 257, 260, 265, 267, 271, 280, 284, 291, 296, 301, 304, 309, 312, 318, 327, 329, 332, 337, 341, 347, 354, 357, 366, 369, 372, 376, 381, 387, 390, 394, 399, 402, 408, 410, 412, 415, 417, 419, 421, 423, 425, 438, 446, 448, 450, 458, 468, 472, 479, 488, 496, 498, 503, 507, 514, 517, 522, 525, 530, 532, 536, 541, 546, 552, 555, 561, 570, 573, 581, 587, 589, 594, 600, 605, 612, 614, 616, 618, 624, 628, 636, 648, 650, 659, 665, 671, 673, 679, 685, 688, 693, 700, 703, 707, 714, 718, 730, 733, 739, 742, 751, 753, 757, 766, 773, 776, 780, 785, 792, 795, 800, 812, 816, 825, 838, 847, 850, 858, 863, 867, 880, 882, 885, 890, 897, 900, 908, 913, 917, 924, 927, 933, 940, 948, 952, 963, 971, 974, 978, 982, 994, 999, 1003, 1013, 1016, 1020, 1029, 1040, 1046, 1049, 1054, 1059, 1061 ] }
b36ba0d3e9b74da198a501008b3a6e25
up until the early part of the 2000 's japan 's economy experienced an extended period of
{ "tokens": [ "up", "until", "the", "early", "part", "of", "the", "2000", "'s", "japan", "'s", "economy", "experienced", "an", "extended", "period", "of" ], "offsets": [ 0, 3, 9, 13, 19, 24, 27, 31, 36, 39, 45, 48, 56, 68, 71, 80, 87 ] }
{ "text": [ "economic stagnation" ], "char_spans": [ { "start": [ 92 ], "end": [ 110 ] } ], "token_spans": [ { "start": [ 23 ], "end": [ 24 ] } ] }
[ "economic stagnation" ]
NaturalQuestionsShort
<P> The 46th Annual American Music Awards ( branded as the 2018 American Music Awards presented by YouTube Music for sponsorship reasons ) were held on October 9 , 2018 , at the Microsoft Theater in Los Angeles , California . It aired live on ABC and was hosted by Tracee Ellis Ross . Cardi B and Drake led the list of nominations with eight mentions each . Taylor Swift and Camila Cabello were the big winners , with four awards . </P>
{ "tokens": [ "<P>", "The", "46th", "Annual", "American", "Music", "Awards", "(", "branded", "as", "the", "2018", "American", "Music", "Awards", "presented", "by", "YouTube", "Music", "for", "sponsorship", "reasons", ")", "were", "held", "on", "October", "9", ",", "2018", ",", "at", "the", "Microsoft", "Theater", "in", "Los", "Angeles", ",", "California", ".", "It", "aired", "live", "on", "ABC", "and", "was", "hosted", "by", "Tracee", "Ellis", "Ross", ".", "Cardi", "B", "and", "Drake", "led", "the", "list", "of", "nominations", "with", "eight", "mentions", "each", ".", "Taylor", "Swift", "and", "Camila", "Cabello", "were", "the", "big", "winners", ",", "with", "four", "awards", ".", "</P>" ], "offsets": [ 0, 4, 8, 13, 20, 29, 35, 42, 44, 52, 55, 59, 64, 73, 79, 86, 96, 99, 107, 113, 117, 129, 137, 139, 144, 149, 152, 160, 162, 164, 169, 171, 174, 178, 188, 196, 199, 203, 211, 213, 224, 226, 229, 235, 240, 243, 247, 251, 255, 262, 265, 272, 278, 283, 285, 291, 293, 297, 303, 307, 311, 316, 319, 331, 336, 342, 351, 356, 358, 365, 371, 375, 382, 390, 395, 399, 403, 411, 413, 418, 423, 430, 432 ] }
e3bbe96d1ef44adbb3881ca5dfb1eee0
who is hosting the 2018 american music awards
{ "tokens": [ "who", "is", "hosting", "the", "2018", "american", "music", "awards" ], "offsets": [ 0, 4, 7, 15, 19, 24, 33, 39 ] }
{ "text": [ "Tracee Ellis Ross" ], "char_spans": [ { "start": [ 265 ], "end": [ 281 ] } ], "token_spans": [ { "start": [ 50 ], "end": [ 52 ] } ] }
[ "Tracee Ellis Ross" ]
NaturalQuestionsShort
<Tr> <Th> Most titles </Th> <Td> New York Yankees ( 27 ) </Td> </Tr>
{ "tokens": [ "<Tr>", "<Th>", "Most", "titles", "</Th>", "<Td>", "New", "York", "Yankees", "(", "27", ")", "</Td>", "</Tr>" ], "offsets": [ 0, 5, 10, 15, 22, 28, 33, 37, 42, 50, 52, 55, 57, 63 ] }
88d82208d7c94e97acb75c612398456e
who has the most championships in the mlb
{ "tokens": [ "who", "has", "the", "most", "championships", "in", "the", "mlb" ], "offsets": [ 0, 4, 8, 12, 17, 31, 34, 38 ] }
{ "text": [ "New York Yankees" ], "char_spans": [ { "start": [ 33 ], "end": [ 48 ] } ], "token_spans": [ { "start": [ 6 ], "end": [ 8 ] } ] }
[ "New York Yankees" ]
NaturalQuestionsShort
<P> The Defenders premiered in New York on July 31 , 2017 , with the full season of eight episodes released on August 18 , 2017 on Netflix . The miniseries met with generally positive reviews , with particular praise going to Weaver . Netflix revealed The Defenders was the third-most `` Binge Raced '' series globally , while third - party analysis indicated the miniseries was the least - viewed of the Marvel Netflix series and had the largest week - over-week drop in viewership . </P>
{ "tokens": [ "<P>", "The", "Defenders", "premiered", "in", "New", "York", "on", "July", "31", ",", "2017", ",", "with", "the", "full", "season", "of", "eight", "episodes", "released", "on", "August", "18", ",", "2017", "on", "Netflix", ".", "The", "miniseries", "met", "with", "generally", "positive", "reviews", ",", "with", "particular", "praise", "going", "to", "Weaver", ".", "Netflix", "revealed", "The", "Defenders", "was", "the", "third-most", "``", "Binge", "Raced", "''", "series", "globally", ",", "while", "third", "-", "party", "analysis", "indicated", "the", "miniseries", "was", "the", "least", "-", "viewed", "of", "the", "Marvel", "Netflix", "series", "and", "had", "the", "largest", "week", "-", "over-week", "drop", "in", "viewership", ".", "</P>" ], "offsets": [ 0, 4, 8, 18, 28, 31, 35, 40, 43, 48, 51, 53, 58, 60, 65, 69, 74, 81, 84, 90, 99, 108, 111, 118, 121, 123, 128, 131, 139, 141, 145, 156, 160, 165, 175, 184, 192, 194, 199, 210, 217, 223, 226, 233, 235, 243, 252, 256, 266, 270, 274, 285, 288, 294, 300, 303, 310, 319, 321, 327, 333, 335, 341, 350, 360, 364, 375, 379, 383, 389, 391, 398, 401, 405, 412, 420, 427, 431, 435, 439, 447, 452, 454, 464, 469, 472, 483, 485 ] }
867f5404e0a34f1b8d54df2be54b7175
how many episodes in the defenders season 1
{ "tokens": [ "how", "many", "episodes", "in", "the", "defenders", "season", "1" ], "offsets": [ 0, 4, 9, 18, 21, 25, 35, 42 ] }
{ "text": [ "eight" ], "char_spans": [ { "start": [ 84 ], "end": [ 88 ] } ], "token_spans": [ { "start": [ 18 ], "end": [ 18 ] } ] }
[ "eight" ]
NaturalQuestionsShort
<P> Ferdinand Ritter von Mannlicher produced the first successful design for a semi-automatic rifle in 1885 , and by the early 20th century , many manufacturers had introduced semi-automatic shotguns , rifles and pistols . </P>
{ "tokens": [ "<P>", "Ferdinand", "Ritter", "von", "Mannlicher", "produced", "the", "first", "successful", "design", "for", "a", "semi-automatic", "rifle", "in", "1885", ",", "and", "by", "the", "early", "20th", "century", ",", "many", "manufacturers", "had", "introduced", "semi-automatic", "shotguns", ",", "rifles", "and", "pistols", ".", "</P>" ], "offsets": [ 0, 4, 14, 21, 25, 36, 45, 49, 55, 66, 73, 77, 79, 94, 100, 103, 108, 110, 114, 117, 121, 127, 132, 140, 142, 147, 161, 165, 176, 191, 200, 202, 209, 213, 221, 223 ] }
a3deedae02074267b0bbe430f4f8ac60
when was the first semi auto rifle made
{ "tokens": [ "when", "was", "the", "first", "semi", "auto", "rifle", "made" ], "offsets": [ 0, 5, 9, 13, 19, 24, 29, 35 ] }
{ "text": [ "1885" ], "char_spans": [ { "start": [ 103 ], "end": [ 106 ] } ], "token_spans": [ { "start": [ 15 ], "end": [ 15 ] } ] }
[ "1885" ]
NaturalQuestionsShort
<P> Raymond William Stacy Burr ( May 21 , 1917 -- September 12 , 1993 ) was a Canadian - American actor , primarily known for his title roles in the television dramas Perry Mason and Ironside . He was prominently involved in multiple charitable endeavors , such as working on behalf of the United Service Organizations . </P>
{ "tokens": [ "<P>", "Raymond", "William", "Stacy", "Burr", "(", "May", "21", ",", "1917", "--", "September", "12", ",", "1993", ")", "was", "a", "Canadian", "-", "American", "actor", ",", "primarily", "known", "for", "his", "title", "roles", "in", "the", "television", "dramas", "Perry", "Mason", "and", "Ironside", ".", "He", "was", "prominently", "involved", "in", "multiple", "charitable", "endeavors", ",", "such", "as", "working", "on", "behalf", "of", "the", "United", "Service", "Organizations", ".", "</P>" ], "offsets": [ 0, 4, 12, 20, 26, 31, 33, 37, 40, 42, 47, 50, 60, 63, 65, 70, 72, 76, 78, 87, 89, 98, 104, 106, 116, 122, 126, 130, 136, 142, 145, 149, 160, 167, 173, 179, 183, 192, 194, 197, 201, 213, 222, 225, 234, 245, 255, 257, 262, 265, 273, 276, 283, 286, 290, 297, 305, 319, 321 ] }
77120a7c6a664df7a441a6246def7941
who is the actor that played perry mason
{ "tokens": [ "who", "is", "the", "actor", "that", "played", "perry", "mason" ], "offsets": [ 0, 4, 7, 11, 17, 22, 29, 35 ] }
{ "text": [ "Raymond William Stacy Burr" ], "char_spans": [ { "start": [ 4 ], "end": [ 29 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 4 ] } ] }
[ "Raymond William Stacy Burr" ]
NaturalQuestionsShort
<P> The Great Fire of Rome was an urban fire in the year AD 64 . It caused widespread devastation , before being brought under control after six days . Differing accounts either blame Emperor Nero for initiating the fire or credit him with organizing measures to contain it and provide relief for refugees . According to Tacitus and later Christians , Nero blamed the devastation on the Christian community in the city , initiating the empire 's first persecution against the Christians . </P>
{ "tokens": [ "<P>", "The", "Great", "Fire", "of", "Rome", "was", "an", "urban", "fire", "in", "the", "year", "AD", "64", ".", "It", "caused", "widespread", "devastation", ",", "before", "being", "brought", "under", "control", "after", "six", "days", ".", "Differing", "accounts", "either", "blame", "Emperor", "Nero", "for", "initiating", "the", "fire", "or", "credit", "him", "with", "organizing", "measures", "to", "contain", "it", "and", "provide", "relief", "for", "refugees", ".", "According", "to", "Tacitus", "and", "later", "Christians", ",", "Nero", "blamed", "the", "devastation", "on", "the", "Christian", "community", "in", "the", "city", ",", "initiating", "the", "empire", "'s", "first", "persecution", "against", "the", "Christians", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 19, 22, 27, 31, 34, 40, 45, 48, 52, 57, 60, 63, 65, 68, 75, 86, 98, 100, 107, 113, 121, 127, 135, 141, 145, 150, 152, 162, 171, 178, 184, 192, 197, 201, 212, 216, 221, 224, 231, 235, 240, 251, 260, 263, 271, 274, 278, 286, 293, 297, 306, 308, 318, 321, 329, 333, 339, 350, 352, 357, 364, 368, 380, 383, 387, 397, 407, 410, 414, 419, 421, 432, 436, 443, 446, 452, 464, 472, 476, 487, 489 ] }
2c9616f2c4184ae58106babb75199a33
what year was the great fire of rome
{ "tokens": [ "what", "year", "was", "the", "great", "fire", "of", "rome" ], "offsets": [ 0, 5, 10, 14, 18, 24, 29, 32 ] }
{ "text": [ "AD 64" ], "char_spans": [ { "start": [ 57 ], "end": [ 61 ] } ], "token_spans": [ { "start": [ 13 ], "end": [ 14 ] } ] }
[ "AD 64" ]
NaturalQuestionsShort
<P> `` ( I 've Had ) The Time of My Life '' is a 1987 song composed by Franke Previte , John DeNicola , and Donald Markowitz . It was recorded by Bill Medley and Jennifer Warnes , and used as the theme song for the 1987 film Dirty Dancing . The song has won a number of awards , including an Academy Award for `` Best Original Song '' , a Golden Globe Award for `` Best Original Song '' , and a Grammy Award for Best Pop Performance by a Duo or Group with Vocals . </P>
{ "tokens": [ "<P>", "``", "(", "I", "'ve", "Had", ")", "The", "Time", "of", "My", "Life", "''", "is", "a", "1987", "song", "composed", "by", "Franke", "Previte", ",", "John", "DeNicola", ",", "and", "Donald", "Markowitz", ".", "It", "was", "recorded", "by", "Bill", "Medley", "and", "Jennifer", "Warnes", ",", "and", "used", "as", "the", "theme", "song", "for", "the", "1987", "film", "Dirty", "Dancing", ".", "The", "song", "has", "won", "a", "number", "of", "awards", ",", "including", "an", "Academy", "Award", "for", "``", "Best", "Original", "Song", "''", ",", "a", "Golden", "Globe", "Award", "for", "``", "Best", "Original", "Song", "''", ",", "and", "a", "Grammy", "Award", "for", "Best", "Pop", "Performance", "by", "a", "Duo", "or", "Group", "with", "Vocals", ".", "</P>" ], "offsets": [ 0, 4, 7, 9, 11, 15, 19, 21, 25, 30, 33, 36, 41, 44, 47, 49, 54, 59, 68, 71, 78, 86, 88, 93, 102, 104, 108, 115, 125, 127, 130, 134, 143, 146, 151, 158, 162, 171, 178, 180, 184, 189, 192, 196, 202, 207, 211, 215, 220, 225, 231, 239, 241, 245, 250, 254, 258, 260, 267, 270, 277, 279, 289, 292, 300, 306, 310, 313, 318, 327, 332, 335, 337, 339, 346, 352, 358, 362, 365, 370, 379, 384, 387, 389, 393, 395, 402, 408, 412, 417, 421, 433, 436, 438, 442, 445, 451, 456, 463, 465 ] }
6e64409384394b4298c3e7e892c18321
who sang time of your life in dirty dancing
{ "tokens": [ "who", "sang", "time", "of", "your", "life", "in", "dirty", "dancing" ], "offsets": [ 0, 4, 9, 14, 17, 22, 27, 30, 36 ] }
{ "text": [ "Bill Medley", "Jennifer Warnes" ], "char_spans": [ { "start": [ 146 ], "end": [ 156 ] }, { "start": [ 162 ], "end": [ 176 ] } ], "token_spans": [ { "start": [ 33 ], "end": [ 34 ] }, { "start": [ 36 ], "end": [ 37 ] } ] }
[ "Bill Medley", "Jennifer Warnes" ]
NaturalQuestionsShort
<Tr> <Th> 93 </Th> <Td> 17 </Td> <Td> `` You 're The Tenth Warrior ! Goku Goes To See Frieza ! ! '' `` Jū ninme no senshi wa omē da ! Gokū Furīza no moto e ! ! '' ( 10 人目 の 戦士 はお め え だ ! 悟空 フリーザ の も と へ ! ! ) </Td> <Td> June 4 , 2017 </Td> <Td> TBA </Td> </Tr>
{ "tokens": [ "<Tr>", "<Th>", "93", "</Th>", "<Td>", "17", "</Td>", "<Td>", "``", "You", "'re", "The", "Tenth", "Warrior", "!", "Goku", "Goes", "To", "See", "Frieza", "!", "!", "''", "``", "Jū", "ninme", "no", "senshi", "wa", "omē", "da", "!", "Gokū", "Furīza", "no", "moto", "e", "!", "!", "''", "(", "10", "人目", "の", "戦士", "はお", "め", "え", "だ", "!", "悟空", "フリーザ", "の", "も", "と", "へ", "!", "!", ")", "</Td>", "<Td>", "June", "4", ",", "2017", "</Td>", "<Td>", "TBA", "</Td>", "</Tr>" ], "offsets": [ 0, 5, 10, 13, 19, 24, 27, 33, 38, 41, 45, 49, 53, 59, 67, 69, 74, 79, 82, 86, 93, 95, 97, 100, 103, 106, 112, 115, 122, 125, 129, 132, 134, 139, 146, 149, 154, 156, 158, 160, 163, 165, 168, 171, 173, 176, 179, 181, 183, 185, 187, 190, 195, 197, 199, 201, 203, 205, 207, 209, 215, 220, 225, 227, 229, 234, 240, 245, 249, 255 ] }
adf39f4f1c0c45f39ef6313d0a188424
when is dragon ball super episode 93 coming out
{ "tokens": [ "when", "is", "dragon", "ball", "super", "episode", "93", "coming", "out" ], "offsets": [ 0, 5, 8, 15, 20, 26, 34, 37, 44 ] }
{ "text": [ "June 4 , 2017" ], "char_spans": [ { "start": [ 220 ], "end": [ 232 ] } ], "token_spans": [ { "start": [ 61 ], "end": [ 64 ] } ] }
[ "June 4 , 2017" ]
NaturalQuestionsShort
<P> Mark - Paul Harry Gosselaar ( / ˈɡɒslər / ; born March 1 , 1974 ) is an American actor . He is known for his television roles as Zack Morris in Saved by the Bell , Detective John Clark in NYPD Blue , and Peter Bash in Franklin & Bash . </P>
{ "tokens": [ "<P>", "Mark", "-", "Paul", "Harry", "Gosselaar", "(", "/", "ˈɡɒslər", "/", ";", "born", "March", "1", ",", "1974", ")", "is", "an", "American", "actor", ".", "He", "is", "known", "for", "his", "television", "roles", "as", "Zack", "Morris", "in", "Saved", "by", "the", "Bell", ",", "Detective", "John", "Clark", "in", "NYPD", "Blue", ",", "and", "Peter", "Bash", "in", "Franklin", "&", "Bash", ".", "</P>" ], "offsets": [ 0, 4, 9, 11, 16, 22, 32, 34, 36, 44, 46, 48, 53, 59, 61, 63, 68, 70, 73, 76, 85, 91, 93, 96, 99, 105, 109, 113, 124, 130, 133, 138, 145, 148, 154, 157, 161, 166, 168, 178, 183, 189, 192, 197, 202, 204, 208, 214, 219, 222, 231, 233, 238, 240 ] }
32f708df1dee49c19409b72db42a90e4
who is zack from saved by the bell
{ "tokens": [ "who", "is", "zack", "from", "saved", "by", "the", "bell" ], "offsets": [ 0, 4, 7, 12, 17, 23, 26, 30 ] }
{ "text": [ "Mark - Paul Harry Gosselaar" ], "char_spans": [ { "start": [ 4 ], "end": [ 30 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 5 ] } ] }
[ "Mark - Paul Harry Gosselaar" ]
NaturalQuestionsShort
<P> `` I 'll Be Home for Christmas '' is a Christmas song written by the lyricist Kim Gannon and composer Walter Kent and recorded in 1943 by Bing Crosby , who scored a top ten hit with the song . Originally written to honor soldiers overseas who longed to be home at Christmastime , `` I 'll Be Home for Christmas '' has since gone on to become a Christmas standard . </P>
{ "tokens": [ "<P>", "``", "I", "'ll", "Be", "Home", "for", "Christmas", "''", "is", "a", "Christmas", "song", "written", "by", "the", "lyricist", "Kim", "Gannon", "and", "composer", "Walter", "Kent", "and", "recorded", "in", "1943", "by", "Bing", "Crosby", ",", "who", "scored", "a", "top", "ten", "hit", "with", "the", "song", ".", "Originally", "written", "to", "honor", "soldiers", "overseas", "who", "longed", "to", "be", "home", "at", "Christmastime", ",", "``", "I", "'ll", "Be", "Home", "for", "Christmas", "''", "has", "since", "gone", "on", "to", "become", "a", "Christmas", "standard", ".", "</P>" ], "offsets": [ 0, 4, 7, 9, 13, 16, 21, 25, 35, 38, 41, 43, 53, 58, 66, 69, 73, 82, 86, 93, 97, 106, 113, 118, 122, 131, 134, 139, 142, 147, 154, 156, 160, 167, 169, 173, 177, 181, 186, 190, 195, 197, 208, 216, 219, 225, 234, 243, 247, 254, 257, 260, 265, 268, 282, 284, 287, 289, 293, 296, 301, 305, 315, 318, 322, 328, 333, 336, 339, 346, 348, 358, 367, 369 ] }
32da5ec0fe4147d18ff53d95efc79faa
who sang i will be home for christmas
{ "tokens": [ "who", "sang", "i", "will", "be", "home", "for", "christmas" ], "offsets": [ 0, 4, 9, 11, 16, 19, 24, 28 ] }
{ "text": [ "Bing Crosby" ], "char_spans": [ { "start": [ 142 ], "end": [ 152 ] } ], "token_spans": [ { "start": [ 28 ], "end": [ 29 ] } ] }
[ "Bing Crosby" ]
NaturalQuestionsShort
<P> The Packers have won three NFC Championship Games . NFC Championships did not exist until after the AFL - NFL merger in 1970 . </P>
{ "tokens": [ "<P>", "The", "Packers", "have", "won", "three", "NFC", "Championship", "Games", ".", "NFC", "Championships", "did", "not", "exist", "until", "after", "the", "AFL", "-", "NFL", "merger", "in", "1970", ".", "</P>" ], "offsets": [ 0, 4, 8, 16, 21, 25, 31, 35, 48, 54, 56, 60, 74, 78, 82, 88, 94, 100, 104, 108, 110, 114, 121, 124, 129, 131 ] }
e441d18b68874db6be9c8bc73c9798ac
how many nfc championships have the packers won
{ "tokens": [ "how", "many", "nfc", "championships", "have", "the", "packers", "won" ], "offsets": [ 0, 4, 9, 13, 27, 32, 36, 44 ] }
{ "text": [ "three" ], "char_spans": [ { "start": [ 25 ], "end": [ 29 ] } ], "token_spans": [ { "start": [ 5 ], "end": [ 5 ] } ] }
[ "three" ]
NaturalQuestionsShort
<P> Beatrice Prior ( Shailene Woodley ) was born into Abnegation , which runs the government . Her father , Andrew Prior ( Tony Goldwyn ) , serves on the ruling council along with the head of Abnegation , Marcus Eaton ( Ray Stevenson ) . Beatrice takes her test with a Dauntless woman named Tori Wu ( Maggie Q ) as her proctor . Her results show the rare quality of equal attributes of multiple factions , meaning she is Divergent . Her divergence includes Abnegation , Erudite , and Dauntless . Tori records her results as Abnegation and warns her to keep the true result a secret , saying that because Divergent can think independently the government can not control them and they are considered threats to the existing social order . </P>
{ "tokens": [ "<P>", "Beatrice", "Prior", "(", "Shailene", "Woodley", ")", "was", "born", "into", "Abnegation", ",", "which", "runs", "the", "government", ".", "Her", "father", ",", "Andrew", "Prior", "(", "Tony", "Goldwyn", ")", ",", "serves", "on", "the", "ruling", "council", "along", "with", "the", "head", "of", "Abnegation", ",", "Marcus", "Eaton", "(", "Ray", "Stevenson", ")", ".", "Beatrice", "takes", "her", "test", "with", "a", "Dauntless", "woman", "named", "Tori", "Wu", "(", "Maggie", "Q", ")", "as", "her", "proctor", ".", "Her", "results", "show", "the", "rare", "quality", "of", "equal", "attributes", "of", "multiple", "factions", ",", "meaning", "she", "is", "Divergent", ".", "Her", "divergence", "includes", "Abnegation", ",", "Erudite", ",", "and", "Dauntless", ".", "Tori", "records", "her", "results", "as", "Abnegation", "and", "warns", "her", "to", "keep", "the", "true", "result", "a", "secret", ",", "saying", "that", "because", "Divergent", "can", "think", "independently", "the", "government", "can", "not", "control", "them", "and", "they", "are", "considered", "threats", "to", "the", "existing", "social", "order", ".", "</P>" ], "offsets": [ 0, 4, 13, 19, 21, 30, 38, 40, 44, 49, 54, 65, 67, 73, 78, 82, 93, 95, 99, 106, 108, 115, 121, 123, 128, 136, 138, 140, 147, 150, 154, 161, 169, 175, 180, 184, 189, 192, 203, 205, 212, 218, 220, 224, 234, 236, 238, 247, 253, 257, 262, 267, 269, 279, 285, 291, 296, 299, 301, 308, 310, 312, 315, 319, 327, 329, 333, 341, 346, 350, 355, 363, 366, 372, 383, 386, 395, 404, 406, 414, 418, 421, 431, 433, 437, 448, 457, 468, 470, 478, 480, 484, 494, 496, 501, 509, 513, 521, 524, 535, 539, 545, 549, 552, 557, 561, 566, 573, 575, 582, 584, 591, 596, 604, 614, 618, 624, 638, 642, 653, 657, 661, 669, 674, 678, 683, 687, 698, 706, 709, 713, 722, 729, 735, 737 ] }
7f9b420b207e403e94f1314473084e93
what is the meaning of divergent in the movie
{ "tokens": [ "what", "is", "the", "meaning", "of", "divergent", "in", "the", "movie" ], "offsets": [ 0, 5, 8, 12, 20, 23, 33, 36, 40 ] }
{ "text": [ "equal attributes of multiple factions" ], "char_spans": [ { "start": [ 366 ], "end": [ 402 ] } ], "token_spans": [ { "start": [ 72 ], "end": [ 76 ] } ] }
[ "equal attributes of multiple factions" ]
NaturalQuestionsShort
<P> Super Bowl XLV was an American football game between the American Football Conference ( AFC ) champion Pittsburgh Steelers and the National Football Conference ( NFC ) champion Green Bay Packers to decide the National Football League ( NFL ) champion for the 2010 season . The Packers defeated the Steelers by the score of 31 -- 25 . The game was played on February 6 , 2011 , at Cowboys Stadium in Arlington , Texas , the first time the Super Bowl was played in the Dallas -- Fort Worth area . </P>
{ "tokens": [ "<P>", "Super", "Bowl", "XLV", "was", "an", "American", "football", "game", "between", "the", "American", "Football", "Conference", "(", "AFC", ")", "champion", "Pittsburgh", "Steelers", "and", "the", "National", "Football", "Conference", "(", "NFC", ")", "champion", "Green", "Bay", "Packers", "to", "decide", "the", "National", "Football", "League", "(", "NFL", ")", "champion", "for", "the", "2010", "season", ".", "The", "Packers", "defeated", "the", "Steelers", "by", "the", "score", "of", "31", "--", "25", ".", "The", "game", "was", "played", "on", "February", "6", ",", "2011", ",", "at", "Cowboys", "Stadium", "in", "Arlington", ",", "Texas", ",", "the", "first", "time", "the", "Super", "Bowl", "was", "played", "in", "the", "Dallas", "--", "Fort", "Worth", "area", ".", "</P>" ], "offsets": [ 0, 4, 10, 15, 19, 23, 26, 35, 44, 49, 57, 61, 70, 79, 90, 92, 96, 98, 107, 118, 127, 131, 135, 144, 153, 164, 166, 170, 172, 181, 187, 191, 199, 202, 209, 213, 222, 231, 238, 240, 244, 246, 255, 259, 263, 268, 275, 277, 281, 289, 298, 302, 311, 314, 318, 324, 327, 330, 333, 336, 338, 342, 347, 351, 358, 361, 370, 372, 374, 379, 381, 384, 392, 400, 403, 413, 415, 421, 423, 427, 433, 438, 442, 448, 453, 457, 464, 467, 471, 478, 481, 486, 492, 497, 499 ] }
f79de651829e4a678b24641ceae77b45
who did the packers beat in the 2010 super bowl
{ "tokens": [ "who", "did", "the", "packers", "beat", "in", "the", "2010", "super", "bowl" ], "offsets": [ 0, 4, 8, 12, 20, 25, 28, 32, 37, 43 ] }
{ "text": [ "the Steelers" ], "char_spans": [ { "start": [ 298 ], "end": [ 309 ] } ], "token_spans": [ { "start": [ 50 ], "end": [ 51 ] } ] }
[ "the Steelers" ]
NaturalQuestionsShort
<Tr> <Th> Date </Th> <Td> 28 July 1914 -- 11 November 1918 ( 1914 - 07 - 28 -- 1918 - 11 - 11 ) ( 4 years , 3 months and 2 weeks ) Peace treaties ( show ) <Ul> <Li> Treaty of Versailles Signed 28 June 1919 ( 4 years and 11 months ) </Li> <Li> Treaty of Saint - Germain - en - Laye Signed 10 September 1919 ( 5 years , 1 month , 1 week and 6 days ) </Li> <Li> Treaty of Neuilly - sur - Seine Signed 27 November 1919 ( 4 years , 1 month , 1 week and 6 days ) </Li> <Li> Treaty of Trianon Signed 4 June 1920 ( 5 years , 10 months and 1 week ) </Li> <Li> Treaty of Sèvres Signed 10 August 1920 ( 6 years , 1 week and 6 days ) </Li> <Li> United States -- Austria Peace Treaty Signed 24 August 1921 ( 3 years , 8 months , 2 weeks and 3 days ) </Li> <Li> United States -- Germany Peace Treaty Signed 25 August 1921 ( 4 years , 4 months , 2 weeks and 5 days ) </Li> <Li> United States -- Hungary Peace Treaty Signed 29 August 1921 ( 3 years , 8 months , 3 weeks and 1 day ) </Li> <Li> Treaty of Lausanne Signed 24 July 1923 ( 8 years , 8 months , 3 weeks and 4 days ) </Li> </Ul> </Td> </Tr>
{ "tokens": [ "<Tr>", "<Th>", "Date", "</Th>", "<Td>", "28", "July", "1914", "--", "11", "November", "1918", "(", "1914", "-", "07", "-", "28", "--", "1918", "-", "11", "-", "11", ")", "(", "4", "years", ",", "3", "months", "and", "2", "weeks", ")", "Peace", "treaties", "(", "show", ")", "<Ul>", "<Li>", "Treaty", "of", "Versailles", "Signed", "28", "June", "1919", "(", "4", "years", "and", "11", "months", ")", "</Li>", "<Li>", "Treaty", "of", "Saint", "-", "Germain", "-", "en", "-", "Laye", "Signed", "10", "September", "1919", "(", "5", "years", ",", "1", "month", ",", "1", "week", "and", "6", "days", ")", "</Li>", "<Li>", "Treaty", "of", "Neuilly", "-", "sur", "-", "Seine", "Signed", "27", "November", "1919", "(", "4", "years", ",", "1", "month", ",", "1", "week", "and", "6", "days", ")", "</Li>", "<Li>", "Treaty", "of", "Trianon", "Signed", "4", "June", "1920", "(", "5", "years", ",", "10", "months", "and", "1", "week", ")", "</Li>", "<Li>", "Treaty", "of", "Sèvres", "Signed", "10", "August", "1920", "(", "6", "years", ",", "1", "week", "and", "6", "days", ")", "</Li>", "<Li>", "United", "States", "--", "Austria", "Peace", "Treaty", "Signed", "24", "August", "1921", "(", "3", "years", ",", "8", "months", ",", "2", "weeks", "and", "3", "days", ")", "</Li>", "<Li>", "United", "States", "--", "Germany", "Peace", "Treaty", "Signed", "25", "August", "1921", "(", "4", "years", ",", "4", "months", ",", "2", "weeks", "and", "5", "days", ")", "</Li>", "<Li>", "United", "States", "--", "Hungary", "Peace", "Treaty", "Signed", "29", "August", "1921", "(", "3", "years", ",", "8", "months", ",", "3", "weeks", "and", "1", "day", ")", "</Li>", "<Li>", "Treaty", "of", "Lausanne", "Signed", "24", "July", "1923", "(", "8", "years", ",", "8", "months", ",", "3", "weeks", "and", "4", "days", ")", "</Li>", "</Ul>", "</Td>", "</Tr>" ], "offsets": [ 0, 5, 10, 15, 21, 26, 29, 34, 39, 42, 45, 54, 59, 61, 66, 68, 71, 73, 76, 79, 84, 86, 89, 91, 94, 96, 98, 100, 106, 108, 110, 117, 121, 123, 129, 131, 137, 146, 148, 153, 155, 160, 165, 172, 175, 186, 193, 196, 201, 206, 208, 210, 216, 220, 223, 230, 232, 238, 243, 250, 253, 259, 261, 269, 271, 274, 276, 281, 288, 291, 301, 306, 308, 310, 316, 318, 320, 326, 328, 330, 335, 339, 341, 346, 348, 354, 359, 366, 369, 377, 379, 383, 385, 391, 398, 401, 410, 415, 417, 419, 425, 427, 429, 435, 437, 439, 444, 448, 450, 455, 457, 463, 468, 475, 478, 486, 493, 495, 500, 505, 507, 509, 515, 517, 520, 527, 531, 533, 538, 540, 546, 551, 558, 561, 568, 575, 578, 585, 590, 592, 594, 600, 602, 604, 609, 613, 615, 620, 622, 628, 633, 640, 647, 650, 658, 664, 671, 678, 681, 688, 693, 695, 697, 703, 705, 707, 714, 716, 718, 724, 728, 730, 735, 737, 743, 748, 755, 762, 765, 773, 779, 786, 793, 796, 803, 808, 810, 812, 818, 820, 822, 829, 831, 833, 839, 843, 845, 850, 852, 858, 863, 870, 877, 880, 888, 894, 901, 908, 911, 918, 923, 925, 927, 933, 935, 937, 944, 946, 948, 954, 958, 960, 964, 966, 972, 977, 984, 987, 996, 1003, 1006, 1011, 1016, 1018, 1020, 1026, 1028, 1030, 1037, 1039, 1041, 1047, 1051, 1053, 1058, 1060, 1066, 1072, 1078 ] }
9e02a504a5134d42a18719d3a6367eef
when did the first world war begin and end
{ "tokens": [ "when", "did", "the", "first", "world", "war", "begin", "and", "end" ], "offsets": [ 0, 5, 9, 13, 19, 25, 29, 35, 39 ] }
{ "text": [ "28 July 1914 -- 11 November 1918" ], "char_spans": [ { "start": [ 26 ], "end": [ 57 ] } ], "token_spans": [ { "start": [ 5 ], "end": [ 11 ] } ] }
[ "28 July 1914 -- 11 November 1918" ]
NaturalQuestionsShort
<P> In addition to voice acting , Rachael has also been involved in other aspects of animation , such as being a production manager for The Grim Adventures of Billy & Mandy and Welcome to Eltingville , and wrote an episode of The Grim Adventures of Billy & Mandy , titled `` Educating Grim '' - where she also met her husband . Seth MacFarlane asked her to help him with his new pilot for the Fox Broadcasting Company , which would become Family Guy . Rachael MacFarlane worked on the show providing incidental voices , and her brother told her she was good at it and asked her to stay , prompting her to move from New York City to Los Angeles . This launched her career as a voice actress ; she remained an incidental cast member on Family Guy for several years and began getting other voice - over work on her own , working for both The Walt Disney Company and Cartoon Network . In 2005 , her brother Seth cast her in his second major prime time animated show , American Dad ! . </P>
{ "tokens": [ "<P>", "In", "addition", "to", "voice", "acting", ",", "Rachael", "has", "also", "been", "involved", "in", "other", "aspects", "of", "animation", ",", "such", "as", "being", "a", "production", "manager", "for", "The", "Grim", "Adventures", "of", "Billy", "&", "Mandy", "and", "Welcome", "to", "Eltingville", ",", "and", "wrote", "an", "episode", "of", "The", "Grim", "Adventures", "of", "Billy", "&", "Mandy", ",", "titled", "``", "Educating", "Grim", "''", "-", "where", "she", "also", "met", "her", "husband", ".", "Seth", "MacFarlane", "asked", "her", "to", "help", "him", "with", "his", "new", "pilot", "for", "the", "Fox", "Broadcasting", "Company", ",", "which", "would", "become", "Family", "Guy", ".", "Rachael", "MacFarlane", "worked", "on", "the", "show", "providing", "incidental", "voices", ",", "and", "her", "brother", "told", "her", "she", "was", "good", "at", "it", "and", "asked", "her", "to", "stay", ",", "prompting", "her", "to", "move", "from", "New", "York", "City", "to", "Los", "Angeles", ".", "This", "launched", "her", "career", "as", "a", "voice", "actress", ";", "she", "remained", "an", "incidental", "cast", "member", "on", "Family", "Guy", "for", "several", "years", "and", "began", "getting", "other", "voice", "-", "over", "work", "on", "her", "own", ",", "working", "for", "both", "The", "Walt", "Disney", "Company", "and", "Cartoon", "Network", ".", "In", "2005", ",", "her", "brother", "Seth", "cast", "her", "in", "his", "second", "major", "prime", "time", "animated", "show", ",", "American", "Dad", "!", ".", "</P>" ], "offsets": [ 0, 4, 7, 16, 19, 25, 32, 34, 42, 46, 51, 56, 65, 68, 74, 82, 85, 95, 97, 102, 105, 111, 113, 124, 132, 136, 140, 145, 156, 159, 165, 167, 173, 177, 185, 188, 200, 202, 206, 212, 215, 223, 226, 230, 235, 246, 249, 255, 257, 263, 265, 272, 275, 285, 290, 293, 295, 301, 305, 310, 314, 318, 326, 328, 333, 344, 350, 354, 357, 362, 366, 371, 375, 379, 385, 389, 393, 397, 410, 418, 420, 426, 432, 439, 446, 450, 452, 460, 471, 478, 481, 485, 490, 500, 511, 518, 520, 524, 528, 536, 541, 545, 549, 553, 558, 561, 564, 568, 574, 578, 581, 586, 588, 598, 602, 605, 610, 615, 619, 624, 629, 632, 636, 644, 646, 651, 660, 664, 671, 674, 676, 682, 690, 692, 696, 705, 708, 719, 724, 731, 734, 741, 745, 749, 757, 763, 767, 773, 781, 787, 793, 795, 800, 805, 808, 812, 816, 818, 826, 830, 835, 839, 844, 851, 859, 863, 871, 879, 881, 884, 889, 891, 895, 903, 908, 913, 917, 920, 924, 931, 937, 943, 948, 957, 962, 964, 973, 977, 979, 981 ] }
444778e3fdae450d9c44b4a1e1297d9e
who does rachael macfarlane play in family guy
{ "tokens": [ "who", "does", "rachael", "macfarlane", "play", "in", "family", "guy" ], "offsets": [ 0, 4, 9, 17, 28, 33, 36, 43 ] }
{ "text": [ "incidental voices" ], "char_spans": [ { "start": [ 500 ], "end": [ 516 ] } ], "token_spans": [ { "start": [ 93 ], "end": [ 94 ] } ] }
[ "incidental voices" ]
NaturalQuestionsShort
<Table> <Tr> <Th> Superlative </Th> <Th colspan="2"> Overall </Th> <Th colspan="2"> Director </Th> <Th colspan="2"> Actor </Th> <Th colspan="2"> Actress </Th> </Tr> <Tr> <Td> Oldest Nominee </Td> <Td> Christopher Plummer </Td> <Td> Age 88 </Td> <Td> John Huston </Td> <Td> Age 79 </Td> <Td> Christopher Plummer </Td> <Td> Age 88 </Td> <Td> Gloria Stuart </Td> <Td> Age 87 </Td> </Tr> <Tr> <Td> Oldest Winner </Td> <Td> Christopher Plummer </Td> <Td> Age 82 </Td> <Td> Clint Eastwood </Td> <Td> Age 74 </Td> <Td> Christopher Plummer </Td> <Td> Age 82 </Td> <Td> Jessica Tandy </Td> <Td> Age 80 </Td> </Tr> <Tr> <Td> Youngest Nominee </Td> <Td> Justin Henry </Td> <Td> Age 8 </Td> <Td> John Singleton </Td> <Td> Age 24 </Td> <Td> Justin Henry </Td> <Td> Age 8 </Td> <Td> Quvenzhané Wallis </Td> <Td> Age 9 </Td> </Tr> <Tr> <Td> Youngest Winner </Td> <Td> Tatum O'Neal </Td> <Td> Age 10 </Td> <Td> Damien Chazelle </Td> <Td> Age 32 </Td> <Td> Timothy Hutton </Td> <Td> Age 20 </Td> <Td> Tatum O'Neal </Td> <Td> Age 10 </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "Superlative", "</Th>", "<Th", "colspan=\"2\">", "Overall", "</Th>", "<Th", "colspan=\"2\">", "Director", "</Th>", "<Th", "colspan=\"2\">", "Actor", "</Th>", "<Th", "colspan=\"2\">", "Actress", "</Th>", "</Tr>", "<Tr>", "<Td>", "Oldest", "Nominee", "</Td>", "<Td>", "Christopher", "Plummer", "</Td>", "<Td>", "Age", "88", "</Td>", "<Td>", "John", "Huston", "</Td>", "<Td>", "Age", "79", "</Td>", "<Td>", "Christopher", "Plummer", "</Td>", "<Td>", "Age", "88", "</Td>", "<Td>", "Gloria", "Stuart", "</Td>", "<Td>", "Age", "87", "</Td>", "</Tr>", "<Tr>", "<Td>", "Oldest", "Winner", "</Td>", "<Td>", "Christopher", "Plummer", "</Td>", "<Td>", "Age", "82", "</Td>", "<Td>", "Clint", "Eastwood", "</Td>", "<Td>", "Age", "74", "</Td>", "<Td>", "Christopher", "Plummer", "</Td>", "<Td>", "Age", "82", "</Td>", "<Td>", "Jessica", "Tandy", "</Td>", "<Td>", "Age", "80", "</Td>", "</Tr>", "<Tr>", "<Td>", "Youngest", "Nominee", "</Td>", "<Td>", "Justin", "Henry", "</Td>", "<Td>", "Age", "8", "</Td>", "<Td>", "John", "Singleton", "</Td>", "<Td>", "Age", "24", "</Td>", "<Td>", "Justin", "Henry", "</Td>", "<Td>", "Age", "8", "</Td>", "<Td>", "Quvenzhané", "Wallis", "</Td>", "<Td>", "Age", "9", "</Td>", "</Tr>", "<Tr>", "<Td>", "Youngest", "Winner", "</Td>", "<Td>", "Tatum", "O'Neal", "</Td>", "<Td>", "Age", "10", "</Td>", "<Td>", "Damien", "Chazelle", "</Td>", "<Td>", "Age", "32", "</Td>", "<Td>", "Timothy", "Hutton", "</Td>", "<Td>", "Age", "20", "</Td>", "<Td>", "Tatum", "O'Neal", "</Td>", "<Td>", "Age", "10", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 18, 30, 36, 40, 53, 61, 67, 71, 84, 93, 99, 103, 116, 122, 128, 132, 145, 153, 159, 165, 170, 175, 182, 190, 196, 201, 213, 221, 227, 232, 236, 239, 245, 250, 255, 262, 268, 273, 277, 280, 286, 291, 303, 311, 317, 322, 326, 329, 335, 340, 347, 354, 360, 365, 369, 372, 378, 384, 389, 394, 401, 408, 414, 419, 431, 439, 445, 450, 454, 457, 463, 468, 474, 483, 489, 494, 498, 501, 507, 512, 524, 532, 538, 543, 547, 550, 556, 561, 569, 575, 581, 586, 590, 593, 599, 605, 610, 615, 624, 632, 638, 643, 650, 656, 662, 667, 671, 673, 679, 684, 689, 699, 705, 710, 714, 717, 723, 728, 735, 741, 747, 752, 756, 758, 764, 769, 780, 787, 793, 798, 802, 804, 810, 816, 821, 826, 835, 842, 848, 853, 859, 866, 872, 877, 881, 884, 890, 895, 902, 911, 917, 922, 926, 929, 935, 940, 948, 955, 961, 966, 970, 973, 979, 984, 990, 997, 1003, 1008, 1012, 1015, 1021, 1027 ] }
951660b4313a433ea032417e8553d972
who is the youngest person to be nominated for an oscar
{ "tokens": [ "who", "is", "the", "youngest", "person", "to", "be", "nominated", "for", "an", "oscar" ], "offsets": [ 0, 4, 7, 11, 20, 27, 30, 33, 43, 47, 50 ] }
{ "text": [ "Justin Henry" ], "char_spans": [ { "start": [ 643 ], "end": [ 654 ] } ], "token_spans": [ { "start": [ 104 ], "end": [ 105 ] } ] }
[ "Justin Henry" ]
NaturalQuestionsShort
<P> The United States five - dollar bill ( $5 ) is a denomination of United States currency . The current $5 bill features the 16th U.S. President ( 1861 - 65 ) , Abraham Lincoln 's portrait on the front and the Lincoln Memorial on the back . All $5 bills issued today are Federal Reserve Notes . </P>
{ "tokens": [ "<P>", "The", "United", "States", "five", "-", "dollar", "bill", "(", "$5", ")", "is", "a", "denomination", "of", "United", "States", "currency", ".", "The", "current", "$5", "bill", "features", "the", "16th", "U.S.", "President", "(", "1861", "-", "65", ")", ",", "Abraham", "Lincoln", "'s", "portrait", "on", "the", "front", "and", "the", "Lincoln", "Memorial", "on", "the", "back", ".", "All", "$5", "bills", "issued", "today", "are", "Federal", "Reserve", "Notes", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 22, 27, 29, 36, 41, 43, 46, 48, 51, 53, 66, 69, 76, 83, 92, 94, 98, 106, 109, 114, 123, 127, 132, 137, 147, 149, 154, 156, 159, 161, 163, 171, 179, 182, 191, 194, 198, 204, 208, 212, 220, 229, 232, 236, 241, 243, 247, 250, 256, 263, 269, 273, 281, 289, 295, 297 ] }
6f1b5b237f19427a9feb2026e4385561
who 's picture is on the $ 5 bill
{ "tokens": [ "who", "'s", "picture", "is", "on", "the", "$", "5", "bill" ], "offsets": [ 0, 4, 7, 15, 18, 21, 25, 27, 29 ] }
{ "text": [ "Abraham Lincoln" ], "char_spans": [ { "start": [ 163 ], "end": [ 177 ] } ], "token_spans": [ { "start": [ 34 ], "end": [ 35 ] } ] }
[ "Abraham Lincoln" ]
NaturalQuestionsShort
<P> The song first appeared in the soundtrack of the Martin and Lewis comedy film The Caddy , released by Paramount Pictures on August 10 , 1953 . In the film , the song is performed mainly by Dean Martin , with Jerry Lewis joining in and then followed by the other characters in the scene . It received a nomination for the Academy Award for Best Original Song of that year , but it lost to `` Secret Love '' from Calamity Jane starring Doris Day . </P>
{ "tokens": [ "<P>", "The", "song", "first", "appeared", "in", "the", "soundtrack", "of", "the", "Martin", "and", "Lewis", "comedy", "film", "The", "Caddy", ",", "released", "by", "Paramount", "Pictures", "on", "August", "10", ",", "1953", ".", "In", "the", "film", ",", "the", "song", "is", "performed", "mainly", "by", "Dean", "Martin", ",", "with", "Jerry", "Lewis", "joining", "in", "and", "then", "followed", "by", "the", "other", "characters", "in", "the", "scene", ".", "It", "received", "a", "nomination", "for", "the", "Academy", "Award", "for", "Best", "Original", "Song", "of", "that", "year", ",", "but", "it", "lost", "to", "``", "Secret", "Love", "''", "from", "Calamity", "Jane", "starring", "Doris", "Day", ".", "</P>" ], "offsets": [ 0, 4, 8, 13, 19, 28, 31, 35, 46, 49, 53, 60, 64, 70, 77, 82, 86, 92, 94, 103, 106, 116, 125, 128, 135, 138, 140, 145, 147, 150, 154, 159, 161, 165, 170, 173, 183, 190, 193, 198, 205, 207, 212, 218, 224, 232, 235, 239, 244, 253, 256, 260, 266, 277, 280, 284, 290, 292, 295, 304, 306, 317, 321, 325, 333, 339, 343, 348, 357, 362, 365, 370, 375, 377, 381, 384, 389, 392, 395, 402, 407, 410, 415, 424, 429, 438, 444, 448, 450 ] }
e6295074b5fc4b9785d241e26f4d58b5
who is the original singer of that 's amore
{ "tokens": [ "who", "is", "the", "original", "singer", "of", "that", "'s", "amore" ], "offsets": [ 0, 4, 7, 11, 20, 27, 30, 35, 38 ] }
{ "text": [ "Dean Martin" ], "char_spans": [ { "start": [ 193 ], "end": [ 203 ] } ], "token_spans": [ { "start": [ 38 ], "end": [ 39 ] } ] }
[ "Dean Martin" ]
NaturalQuestionsShort
<P> Topsoil is the upper , outermost layer of soil , usually the top 2 inches ( 5.1 cm ) to 8 inches ( 20 cm ) . It has the highest concentration of organic matter and microorganisms and is where most of the Earth 's biological soil activity occurs . Four elements constitute the composition of soil . Those elements are mineral particles , organic matter , water , and air . The volume of top soil consists of 50 to 80 percent of these particles which form the skeletal structure of most soils . This composition allows the soil to sustain its own weight , and other internal matter such as water and overlying landscape . Organic matter , another important element , varies on quantity on different soils . This provokes positive and negative effects or reactions on the soil . The strength of soil structure decreases with the presence of organic matter , creating weak bearing capacities . Organic matter condenses and settles in different ways under certain conditions , such as roadbeds and foundations . The skeletal structure becomes affected once the soil is dewatered . The soil 's volume substantially decreases . It decomposes and suffers wind erosion . </P>
{ "tokens": [ "<P>", "Topsoil", "is", "the", "upper", ",", "outermost", "layer", "of", "soil", ",", "usually", "the", "top", "2", "inches", "(", "5.1", "cm", ")", "to", "8", "inches", "(", "20", "cm", ")", ".", "It", "has", "the", "highest", "concentration", "of", "organic", "matter", "and", "microorganisms", "and", "is", "where", "most", "of", "the", "Earth", "'s", "biological", "soil", "activity", "occurs", ".", "Four", "elements", "constitute", "the", "composition", "of", "soil", ".", "Those", "elements", "are", "mineral", "particles", ",", "organic", "matter", ",", "water", ",", "and", "air", ".", "The", "volume", "of", "top", "soil", "consists", "of", "50", "to", "80", "percent", "of", "these", "particles", "which", "form", "the", "skeletal", "structure", "of", "most", "soils", ".", "This", "composition", "allows", "the", "soil", "to", "sustain", "its", "own", "weight", ",", "and", "other", "internal", "matter", "such", "as", "water", "and", "overlying", "landscape", ".", "Organic", "matter", ",", "another", "important", "element", ",", "varies", "on", "quantity", "on", "different", "soils", ".", "This", "provokes", "positive", "and", "negative", "effects", "or", "reactions", "on", "the", "soil", ".", "The", "strength", "of", "soil", "structure", "decreases", "with", "the", "presence", "of", "organic", "matter", ",", "creating", "weak", "bearing", "capacities", ".", "Organic", "matter", "condenses", "and", "settles", "in", "different", "ways", "under", "certain", "conditions", ",", "such", "as", "roadbeds", "and", "foundations", ".", "The", "skeletal", "structure", "becomes", "affected", "once", "the", "soil", "is", "dewatered", ".", "The", "soil", "'s", "volume", "substantially", "decreases", ".", "It", "decomposes", "and", "suffers", "wind", "erosion", ".", "</P>" ], "offsets": [ 0, 4, 12, 15, 19, 25, 27, 37, 43, 46, 51, 53, 61, 65, 69, 71, 78, 80, 84, 87, 89, 92, 94, 101, 103, 106, 109, 111, 113, 116, 120, 124, 132, 146, 149, 157, 164, 168, 183, 187, 190, 196, 201, 204, 208, 214, 217, 228, 233, 242, 249, 251, 256, 265, 276, 280, 292, 295, 300, 302, 308, 317, 321, 329, 339, 341, 349, 356, 358, 364, 366, 370, 374, 376, 380, 387, 390, 394, 399, 408, 411, 414, 417, 420, 428, 431, 437, 447, 453, 458, 462, 471, 481, 484, 489, 495, 497, 502, 514, 521, 525, 530, 533, 541, 545, 549, 556, 558, 562, 568, 577, 584, 589, 592, 598, 602, 612, 622, 624, 632, 639, 641, 649, 659, 667, 669, 676, 679, 688, 691, 701, 707, 709, 714, 723, 732, 736, 745, 753, 756, 766, 769, 773, 778, 780, 784, 793, 796, 801, 811, 821, 826, 830, 839, 842, 850, 857, 859, 868, 873, 881, 892, 894, 902, 909, 919, 923, 931, 934, 944, 949, 955, 963, 974, 976, 981, 984, 993, 997, 1009, 1011, 1015, 1024, 1034, 1042, 1051, 1056, 1060, 1065, 1068, 1078, 1080, 1084, 1089, 1092, 1099, 1113, 1123, 1125, 1128, 1139, 1143, 1151, 1156, 1164, 1166 ] }
d04a470f30a843078015e02bc7c038f4
what is the upper most layer of soil
{ "tokens": [ "what", "is", "the", "upper", "most", "layer", "of", "soil" ], "offsets": [ 0, 5, 8, 12, 18, 23, 29, 32 ] }
{ "text": [ "Topsoil" ], "char_spans": [ { "start": [ 4 ], "end": [ 10 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 1 ] } ] }
[ "Topsoil" ]
NaturalQuestionsShort
<P> The 2018 World Women 's Curling Championship ( branded as the 2018 Ford World Women 's Curling Championship for sponsorship reasons ) was held from March 17 - 25 at the North Bay Memorial Gardens in North Bay , Ontario , Canada . The format of the tournament was changed this year , with 13 teams qualifying for the tournament ( as opposed to 12 in previous years ) , and the top 6 teams from round - robin play will qualify for the playoffs ( rather than 4 ) . The playoff system were single - knockout , where the top two teams received a bye while the remaining four played the first round . </P>
{ "tokens": [ "<P>", "The", "2018", "World", "Women", "'s", "Curling", "Championship", "(", "branded", "as", "the", "2018", "Ford", "World", "Women", "'s", "Curling", "Championship", "for", "sponsorship", "reasons", ")", "was", "held", "from", "March", "17", "-", "25", "at", "the", "North", "Bay", "Memorial", "Gardens", "in", "North", "Bay", ",", "Ontario", ",", "Canada", ".", "The", "format", "of", "the", "tournament", "was", "changed", "this", "year", ",", "with", "13", "teams", "qualifying", "for", "the", "tournament", "(", "as", "opposed", "to", "12", "in", "previous", "years", ")", ",", "and", "the", "top", "6", "teams", "from", "round", "-", "robin", "play", "will", "qualify", "for", "the", "playoffs", "(", "rather", "than", "4", ")", ".", "The", "playoff", "system", "were", "single", "-", "knockout", ",", "where", "the", "top", "two", "teams", "received", "a", "bye", "while", "the", "remaining", "four", "played", "the", "first", "round", ".", "</P>" ], "offsets": [ 0, 4, 8, 13, 19, 25, 28, 36, 49, 51, 59, 62, 66, 71, 76, 82, 88, 91, 99, 112, 116, 128, 136, 138, 142, 147, 152, 158, 161, 163, 166, 169, 173, 179, 183, 192, 200, 203, 209, 213, 215, 223, 225, 232, 234, 238, 245, 248, 252, 263, 267, 275, 280, 285, 287, 292, 295, 301, 312, 316, 320, 331, 333, 336, 344, 347, 350, 353, 362, 368, 370, 372, 376, 380, 384, 386, 392, 397, 403, 405, 411, 416, 421, 429, 433, 437, 446, 448, 455, 460, 462, 464, 466, 470, 478, 485, 490, 497, 499, 508, 510, 516, 520, 524, 528, 534, 543, 545, 549, 555, 559, 569, 574, 581, 585, 591, 597, 599 ] }
22630643166d42f78cc326d082e8f3ac
where is the women 's world curling this year
{ "tokens": [ "where", "is", "the", "women", "'s", "world", "curling", "this", "year" ], "offsets": [ 0, 6, 9, 13, 19, 22, 28, 36, 41 ] }
{ "text": [ "North Bay Memorial Gardens in North Bay , Ontario , Canada" ], "char_spans": [ { "start": [ 173 ], "end": [ 230 ] } ], "token_spans": [ { "start": [ 32 ], "end": [ 42 ] } ] }
[ "North Bay Memorial Gardens in North Bay , Ontario , Canada" ]
NaturalQuestionsShort
<P> Denver , formerly known as Dry Pond , is a census - designated place and unincorporated community located in Lincoln County , North Carolina , United States . It is situated on North Carolina State Highway 16 on the west shore of Lake Norman on the Catawba River . It is about 25 miles north of downtown Charlotte and just south of the Catawba County boundary . </P>
{ "tokens": [ "<P>", "Denver", ",", "formerly", "known", "as", "Dry", "Pond", ",", "is", "a", "census", "-", "designated", "place", "and", "unincorporated", "community", "located", "in", "Lincoln", "County", ",", "North", "Carolina", ",", "United", "States", ".", "It", "is", "situated", "on", "North", "Carolina", "State", "Highway", "16", "on", "the", "west", "shore", "of", "Lake", "Norman", "on", "the", "Catawba", "River", ".", "It", "is", "about", "25", "miles", "north", "of", "downtown", "Charlotte", "and", "just", "south", "of", "the", "Catawba", "County", "boundary", ".", "</P>" ], "offsets": [ 0, 4, 11, 13, 22, 28, 31, 35, 40, 42, 45, 47, 54, 56, 67, 73, 77, 92, 102, 110, 113, 121, 128, 130, 136, 145, 147, 154, 161, 163, 166, 169, 178, 181, 187, 196, 202, 210, 213, 216, 220, 225, 231, 234, 239, 246, 249, 253, 261, 267, 269, 272, 275, 281, 284, 290, 296, 299, 308, 318, 322, 327, 333, 336, 340, 348, 355, 364, 366 ] }
66dd78e347884243a6f4ad83d46bb811
how far is denver north carolina from charlotte north carolina
{ "tokens": [ "how", "far", "is", "denver", "north", "carolina", "from", "charlotte", "north", "carolina" ], "offsets": [ 0, 4, 8, 11, 18, 24, 33, 38, 48, 54 ] }
{ "text": [ "about 25 miles north of downtown Charlotte" ], "char_spans": [ { "start": [ 275 ], "end": [ 316 ] } ], "token_spans": [ { "start": [ 52 ], "end": [ 58 ] } ] }
[ "about 25 miles north of downtown Charlotte" ]
NaturalQuestionsShort
<P> The Tudors is a historical fiction television series set primarily in 1500s England , created by Michael Hirst and produced for the American premium cable television channel Showtime . The series was a collaboration between American , British , and Canadian producers , and filmed mostly in Ireland . Although named after the Tudor dynasty as a whole , it is based specifically upon the reign of King Henry VIII of England . </P>
{ "tokens": [ "<P>", "The", "Tudors", "is", "a", "historical", "fiction", "television", "series", "set", "primarily", "in", "1500s", "England", ",", "created", "by", "Michael", "Hirst", "and", "produced", "for", "the", "American", "premium", "cable", "television", "channel", "Showtime", ".", "The", "series", "was", "a", "collaboration", "between", "American", ",", "British", ",", "and", "Canadian", "producers", ",", "and", "filmed", "mostly", "in", "Ireland", ".", "Although", "named", "after", "the", "Tudor", "dynasty", "as", "a", "whole", ",", "it", "is", "based", "specifically", "upon", "the", "reign", "of", "King", "Henry", "VIII", "of", "England", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 18, 20, 31, 39, 50, 57, 61, 71, 74, 80, 88, 90, 98, 101, 109, 115, 119, 128, 132, 136, 145, 153, 159, 170, 178, 187, 189, 193, 200, 204, 206, 220, 228, 237, 239, 247, 249, 253, 262, 272, 274, 278, 285, 292, 295, 303, 305, 314, 320, 326, 330, 336, 344, 347, 349, 355, 357, 360, 363, 369, 382, 387, 391, 397, 400, 405, 411, 416, 419, 427, 429 ] }
56232a8856fd41d7a3dd64e6f3790e92
when does the show the tudors take place
{ "tokens": [ "when", "does", "the", "show", "the", "tudors", "take", "place" ], "offsets": [ 0, 5, 10, 14, 19, 23, 30, 35 ] }
{ "text": [ "1500s England" ], "char_spans": [ { "start": [ 74 ], "end": [ 86 ] } ], "token_spans": [ { "start": [ 12 ], "end": [ 13 ] } ] }
[ "1500s England" ]
NaturalQuestionsShort
<P> The first meeting of the congress was held from 15 -- 17 January 1914 at the premises of the Asiatic Society , Calcutta . Honorable justice Sir Ashutosh Mukherjee , the then Vice Chancellor of the University of Calcutta presided over the Congress . One hundred and five scientists from different parts of India and abroad attended it . Altogether 35 papers under 6 different sections , namely Botany , Chemistry , Ethnography , Geology , Physics and Zoology were presented . </P>
{ "tokens": [ "<P>", "The", "first", "meeting", "of", "the", "congress", "was", "held", "from", "15", "--", "17", "January", "1914", "at", "the", "premises", "of", "the", "Asiatic", "Society", ",", "Calcutta", ".", "Honorable", "justice", "Sir", "Ashutosh", "Mukherjee", ",", "the", "then", "Vice", "Chancellor", "of", "the", "University", "of", "Calcutta", "presided", "over", "the", "Congress", ".", "One", "hundred", "and", "five", "scientists", "from", "different", "parts", "of", "India", "and", "abroad", "attended", "it", ".", "Altogether", "35", "papers", "under", "6", "different", "sections", ",", "namely", "Botany", ",", "Chemistry", ",", "Ethnography", ",", "Geology", ",", "Physics", "and", "Zoology", "were", "presented", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 22, 25, 29, 38, 42, 47, 52, 55, 58, 61, 69, 74, 77, 81, 90, 93, 97, 105, 113, 115, 124, 126, 136, 144, 148, 157, 167, 169, 173, 178, 183, 194, 197, 201, 212, 215, 224, 233, 238, 242, 251, 253, 257, 265, 269, 274, 285, 290, 300, 306, 309, 315, 319, 326, 335, 338, 340, 351, 354, 361, 367, 369, 379, 388, 390, 397, 404, 406, 416, 418, 430, 432, 440, 442, 450, 454, 462, 467, 477, 479 ] }
86460306e4ce4898a2f0714463bf2fed
who was the president of the first indian science congress meeting held in kolkata in 1914
{ "tokens": [ "who", "was", "the", "president", "of", "the", "first", "indian", "science", "congress", "meeting", "held", "in", "kolkata", "in", "1914" ], "offsets": [ 0, 4, 8, 12, 22, 25, 29, 35, 42, 50, 59, 67, 72, 75, 83, 86 ] }
{ "text": [ "Sir Ashutosh Mukherjee" ], "char_spans": [ { "start": [ 144 ], "end": [ 165 ] } ], "token_spans": [ { "start": [ 27 ], "end": [ 29 ] } ] }
[ "Sir Ashutosh Mukherjee" ]
NaturalQuestionsShort
<Li> In 12 states ( Alabama , Delaware , Illinois , Kansas , Missouri , Nebraska , New Hampshire , New York , North Dakota , Rhode Island , Utah , Wisconsin ) , police `` may demand '' identifying information . Of note , though , in New Hampshire for example ( RSA 594 : 2 ) , statutory language authorizing a ' demand ' for identity does not establish a legal requirement to provide documentation of identity ( ID ) , or even a requirement to respond in the first place . Further , a law enforcement officer is authorized to make such ' demand ' only of individuals for `` whom he has reason to suspect is committing , has committed or is about to commit a crime . '' </Li>
{ "tokens": [ "<Li>", "In", "12", "states", "(", "Alabama", ",", "Delaware", ",", "Illinois", ",", "Kansas", ",", "Missouri", ",", "Nebraska", ",", "New", "Hampshire", ",", "New", "York", ",", "North", "Dakota", ",", "Rhode", "Island", ",", "Utah", ",", "Wisconsin", ")", ",", "police", "``", "may", "demand", "''", "identifying", "information", ".", "Of", "note", ",", "though", ",", "in", "New", "Hampshire", "for", "example", "(", "RSA", "594", ":", "2", ")", ",", "statutory", "language", "authorizing", "a", "'", "demand", "'", "for", "identity", "does", "not", "establish", "a", "legal", "requirement", "to", "provide", "documentation", "of", "identity", "(", "ID", ")", ",", "or", "even", "a", "requirement", "to", "respond", "in", "the", "first", "place", ".", "Further", ",", "a", "law", "enforcement", "officer", "is", "authorized", "to", "make", "such", "'", "demand", "'", "only", "of", "individuals", "for", "``", "whom", "he", "has", "reason", "to", "suspect", "is", "committing", ",", "has", "committed", "or", "is", "about", "to", "commit", "a", "crime", ".", "''", "</Li>" ], "offsets": [ 0, 5, 8, 11, 18, 20, 28, 30, 39, 41, 50, 52, 59, 61, 70, 72, 81, 83, 87, 97, 99, 103, 108, 110, 116, 123, 125, 131, 138, 140, 145, 147, 157, 159, 161, 168, 171, 175, 182, 185, 197, 209, 211, 214, 219, 221, 228, 230, 233, 237, 247, 251, 259, 261, 265, 269, 271, 273, 275, 277, 287, 296, 308, 310, 312, 319, 321, 325, 334, 339, 343, 353, 355, 361, 373, 376, 384, 398, 401, 410, 412, 415, 417, 419, 422, 427, 429, 441, 444, 452, 455, 459, 465, 471, 473, 481, 483, 485, 489, 501, 509, 512, 523, 526, 531, 536, 538, 545, 547, 552, 555, 567, 571, 574, 579, 582, 586, 593, 596, 604, 607, 618, 620, 624, 634, 637, 640, 646, 649, 656, 658, 664, 666, 669 ] }
1837ccc39f2649e5a38742c51807f0b3
when do i have to show id in illinois
{ "tokens": [ "when", "do", "i", "have", "to", "show", "id", "in", "illinois" ], "offsets": [ 0, 5, 8, 10, 15, 18, 23, 26, 29 ] }
{ "text": [ "law enforcement officer is authorized to make such ' demand ' only of individuals for `` whom he has reason to suspect is committing , has committed or is about to commit a crime . ''" ], "char_spans": [ { "start": [ 485 ], "end": [ 667 ] } ], "token_spans": [ { "start": [ 97 ], "end": [ 132 ] } ] }
[ "law enforcement officer is authorized to make such ' demand ' only of individuals for `` whom he has reason to suspect is committing , has committed or is about to commit a crime . ''" ]
NaturalQuestionsShort
<P> The 2018 Winter Olympics , officially known as the XXIII Olympic Winter Games ( Korean : 제 23 회 동계 올림픽 , translit . Jeisipsamhoe Donggye Ollimpik ) and commonly known as PyeongChang 2018 , was an international winter multi-sport event that was held between 9 and 25 February 2018 in Pyeongchang County , Gangwon Province , South Korea , with the opening rounds for certain events held on 8 February 2018 , the eve of the opening ceremony . </P>
{ "tokens": [ "<P>", "The", "2018", "Winter", "Olympics", ",", "officially", "known", "as", "the", "XXIII", "Olympic", "Winter", "Games", "(", "Korean", ":", "제", "23", "회", "동계", "올림픽", ",", "translit", ".", "Jeisipsamhoe", "Donggye", "Ollimpik", ")", "and", "commonly", "known", "as", "PyeongChang", "2018", ",", "was", "an", "international", "winter", "multi-sport", "event", "that", "was", "held", "between", "9", "and", "25", "February", "2018", "in", "Pyeongchang", "County", ",", "Gangwon", "Province", ",", "South", "Korea", ",", "with", "the", "opening", "rounds", "for", "certain", "events", "held", "on", "8", "February", "2018", ",", "the", "eve", "of", "the", "opening", "ceremony", ".", "</P>" ], "offsets": [ 0, 4, 8, 13, 20, 29, 31, 42, 48, 51, 55, 61, 69, 76, 82, 84, 91, 93, 95, 98, 100, 103, 107, 109, 118, 120, 133, 141, 150, 152, 156, 165, 171, 174, 186, 191, 193, 197, 200, 214, 221, 233, 239, 244, 248, 253, 261, 263, 267, 270, 279, 284, 287, 299, 306, 308, 316, 325, 327, 333, 339, 341, 346, 350, 358, 365, 369, 377, 384, 389, 392, 394, 403, 408, 410, 414, 418, 421, 425, 433, 442, 444 ] }
3f998c3e97ad4a1aa39010e7abedade3
where are the winter olympics held this year 2018
{ "tokens": [ "where", "are", "the", "winter", "olympics", "held", "this", "year", "2018" ], "offsets": [ 0, 6, 10, 14, 21, 30, 35, 40, 45 ] }
{ "text": [ "in Pyeongchang County , Gangwon Province , South Korea" ], "char_spans": [ { "start": [ 284 ], "end": [ 337 ] } ], "token_spans": [ { "start": [ 51 ], "end": [ 59 ] } ] }
[ "in Pyeongchang County , Gangwon Province , South Korea" ]
NaturalQuestionsShort
<P> Ann Bradford Davis ( May 3 , 1926 -- June 1 , 2014 ) was an American actress . She achieved prominence for her role in the NBC situation comedy The Bob Cummings Show ( 1955 -- 1959 ) , for which she twice won the Primetime Emmy Award for Outstanding Supporting Actress in a Comedy Series , but she was best known for playing the part of Alice Nelson , the housekeeper in ABC 's The Brady Bunch ( 1969 -- 1974 ) . </P>
{ "tokens": [ "<P>", "Ann", "Bradford", "Davis", "(", "May", "3", ",", "1926", "--", "June", "1", ",", "2014", ")", "was", "an", "American", "actress", ".", "She", "achieved", "prominence", "for", "her", "role", "in", "the", "NBC", "situation", "comedy", "The", "Bob", "Cummings", "Show", "(", "1955", "--", "1959", ")", ",", "for", "which", "she", "twice", "won", "the", "Primetime", "Emmy", "Award", "for", "Outstanding", "Supporting", "Actress", "in", "a", "Comedy", "Series", ",", "but", "she", "was", "best", "known", "for", "playing", "the", "part", "of", "Alice", "Nelson", ",", "the", "housekeeper", "in", "ABC", "'s", "The", "Brady", "Bunch", "(", "1969", "--", "1974", ")", ".", "</P>" ], "offsets": [ 0, 4, 8, 17, 23, 25, 29, 31, 33, 38, 41, 46, 48, 50, 55, 57, 61, 64, 73, 81, 83, 87, 96, 107, 111, 115, 120, 123, 127, 131, 141, 148, 152, 156, 165, 170, 172, 177, 180, 185, 187, 189, 193, 199, 203, 209, 213, 217, 227, 232, 238, 242, 254, 265, 273, 276, 278, 285, 292, 294, 298, 302, 306, 311, 317, 321, 329, 333, 338, 341, 347, 354, 356, 360, 372, 375, 379, 382, 386, 392, 398, 400, 405, 408, 413, 415, 417 ] }
a452bb25395549068d148887b71c4aec
when did alice from the brady bunch die
{ "tokens": [ "when", "did", "alice", "from", "the", "brady", "bunch", "die" ], "offsets": [ 0, 5, 9, 15, 20, 24, 30, 36 ] }
{ "text": [ "June 1 , 2014" ], "char_spans": [ { "start": [ 41 ], "end": [ 53 ] } ], "token_spans": [ { "start": [ 10 ], "end": [ 13 ] } ] }
[ "June 1 , 2014" ]
NaturalQuestionsShort
<P> It was announced May 7 , 2013 , that Carrie Underwood would take over singing the theme song . </P>
{ "tokens": [ "<P>", "It", "was", "announced", "May", "7", ",", "2013", ",", "that", "Carrie", "Underwood", "would", "take", "over", "singing", "the", "theme", "song", ".", "</P>" ], "offsets": [ 0, 4, 7, 11, 21, 25, 27, 29, 34, 36, 41, 48, 58, 64, 69, 74, 82, 86, 92, 97, 99 ] }
d2b3db971a0344f19c69299485a50234
who is the female singer on sunday night football
{ "tokens": [ "who", "is", "the", "female", "singer", "on", "sunday", "night", "football" ], "offsets": [ 0, 4, 7, 11, 18, 25, 28, 35, 41 ] }
{ "text": [ "Carrie Underwood" ], "char_spans": [ { "start": [ 41 ], "end": [ 56 ] } ], "token_spans": [ { "start": [ 10 ], "end": [ 11 ] } ] }
[ "Carrie Underwood" ]
NaturalQuestionsShort
<Ul> <Li> Peter Serafinowicz as The Tick </Li> <Li> Griffin Newman as Arthur Everest </Li> <Li> Valorie Curry as Dot Everest </Li> <Li> Brendan Hines as Superian </Li> <Li> Yara Martinez as Miss Lint / Janet </Li> <Li> Scott Speiser as Overkill / Straight Shooter / Esteban </Li> <Li> Jackie Earle Haley as The Terror </Li> </Ul>
{ "tokens": [ "<Ul>", "<Li>", "Peter", "Serafinowicz", "as", "The", "Tick", "</Li>", "<Li>", "Griffin", "Newman", "as", "Arthur", "Everest", "</Li>", "<Li>", "Valorie", "Curry", "as", "Dot", "Everest", "</Li>", "<Li>", "Brendan", "Hines", "as", "Superian", "</Li>", "<Li>", "Yara", "Martinez", "as", "Miss", "Lint", "/", "Janet", "</Li>", "<Li>", "Scott", "Speiser", "as", "Overkill", "/", "Straight", "Shooter", "/", "Esteban", "</Li>", "<Li>", "Jackie", "Earle", "Haley", "as", "The", "Terror", "</Li>", "</Ul>" ], "offsets": [ 0, 5, 10, 16, 29, 32, 36, 41, 47, 52, 60, 67, 70, 77, 85, 91, 96, 104, 110, 113, 117, 125, 131, 136, 144, 150, 153, 162, 168, 173, 178, 187, 190, 195, 200, 202, 208, 214, 219, 225, 233, 236, 245, 247, 256, 264, 266, 274, 280, 285, 292, 298, 304, 307, 311, 318, 324 ] }
ca7b5bb9b3c1450d8c605c8319d5486a
who plays the tick in the amazon series
{ "tokens": [ "who", "plays", "the", "tick", "in", "the", "amazon", "series" ], "offsets": [ 0, 4, 10, 14, 19, 22, 26, 33 ] }
{ "text": [ "Peter Serafinowicz" ], "char_spans": [ { "start": [ 10 ], "end": [ 27 ] } ], "token_spans": [ { "start": [ 2 ], "end": [ 3 ] } ] }
[ "Peter Serafinowicz" ]
NaturalQuestionsShort
<P> In some versions of sed , the expression must be preceded by - e to indicate that an expression follows . The s stands for substitute , while the g stands for global , which means that all matching occurrences in the line would be replaced . The regular expression ( i.e. pattern ) to be searched is placed after the first delimiting symbol ( slash here ) and the replacement follows the second symbol . Slash ( / ) is the conventional symbol , originating in the character for `` search '' in ed , but any other could be used to make syntax more readable if it does not occur in the pattern or replacement ; this is useful to avoid `` leaning toothpick syndrome '' . </P>
{ "tokens": [ "<P>", "In", "some", "versions", "of", "sed", ",", "the", "expression", "must", "be", "preceded", "by", "-", "e", "to", "indicate", "that", "an", "expression", "follows", ".", "The", "s", "stands", "for", "substitute", ",", "while", "the", "g", "stands", "for", "global", ",", "which", "means", "that", "all", "matching", "occurrences", "in", "the", "line", "would", "be", "replaced", ".", "The", "regular", "expression", "(", "i.e.", "pattern", ")", "to", "be", "searched", "is", "placed", "after", "the", "first", "delimiting", "symbol", "(", "slash", "here", ")", "and", "the", "replacement", "follows", "the", "second", "symbol", ".", "Slash", "(", "/", ")", "is", "the", "conventional", "symbol", ",", "originating", "in", "the", "character", "for", "``", "search", "''", "in", "ed", ",", "but", "any", "other", "could", "be", "used", "to", "make", "syntax", "more", "readable", "if", "it", "does", "not", "occur", "in", "the", "pattern", "or", "replacement", ";", "this", "is", "useful", "to", "avoid", "``", "leaning", "toothpick", "syndrome", "''", ".", "</P>" ], "offsets": [ 0, 4, 7, 12, 21, 24, 28, 30, 34, 45, 50, 53, 62, 65, 67, 69, 72, 81, 86, 89, 100, 108, 110, 114, 116, 123, 127, 138, 140, 146, 150, 152, 159, 163, 170, 172, 178, 184, 189, 193, 202, 214, 217, 221, 226, 232, 235, 244, 246, 250, 258, 269, 271, 276, 284, 286, 289, 292, 301, 304, 311, 317, 321, 327, 338, 345, 347, 353, 358, 360, 364, 368, 380, 388, 392, 399, 406, 408, 414, 416, 418, 420, 423, 427, 440, 447, 449, 461, 464, 468, 478, 482, 485, 492, 495, 498, 501, 503, 507, 511, 517, 523, 526, 531, 534, 539, 546, 551, 560, 563, 566, 571, 575, 581, 584, 588, 596, 599, 611, 613, 618, 621, 628, 631, 637, 640, 648, 658, 667, 670, 672 ] }
6ef84d1ae61c437090040fea5f302cc3
what is s and g in sed command
{ "tokens": [ "what", "is", "s", "and", "g", "in", "sed", "command" ], "offsets": [ 0, 5, 8, 10, 14, 16, 19, 23 ] }
{ "text": [ "substitute", "global" ], "char_spans": [ { "start": [ 127 ], "end": [ 136 ] }, { "start": [ 163 ], "end": [ 168 ] } ], "token_spans": [ { "start": [ 26 ], "end": [ 26 ] }, { "start": [ 33 ], "end": [ 33 ] } ] }
[ "substitute", "global" ]
NaturalQuestionsShort
<P> The lunula , or lunulae ( pl . ) ( from Latin , meaning ' little moon ' ) , is the crescent - shaped whitish area of the bed of a fingernail or toenail . The lunula is the visible part of the root of the nail . </P>
{ "tokens": [ "<P>", "The", "lunula", ",", "or", "lunulae", "(", "pl", ".", ")", "(", "from", "Latin", ",", "meaning", "'", "little", "moon", "'", ")", ",", "is", "the", "crescent", "-", "shaped", "whitish", "area", "of", "the", "bed", "of", "a", "fingernail", "or", "toenail", ".", "The", "lunula", "is", "the", "visible", "part", "of", "the", "root", "of", "the", "nail", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 17, 20, 28, 30, 33, 35, 37, 39, 44, 50, 52, 60, 62, 69, 74, 76, 78, 80, 83, 87, 96, 98, 105, 113, 118, 121, 125, 129, 132, 134, 145, 148, 156, 158, 162, 169, 172, 176, 184, 189, 192, 196, 201, 204, 208, 213, 215 ] }
e4c42083f1f7448495f73c53fcc3b322
what 's the white part of your nail called
{ "tokens": [ "what", "'s", "the", "white", "part", "of", "your", "nail", "called" ], "offsets": [ 0, 5, 8, 12, 18, 23, 26, 31, 36 ] }
{ "text": [ "The lunula , or lunulae ( pl . )" ], "char_spans": [ { "start": [ 4 ], "end": [ 35 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 9 ] } ] }
[ "The lunula , or lunulae ( pl . )" ]
NaturalQuestionsShort
<P> Traditionally , the Forbidden City is divided into two parts . The Outer Court ( 外 朝 ) or Front Court ( 前 朝 ) includes the southern sections , and was used for ceremonial purposes . The Inner Court ( 内 廷 ) or Back Palace ( 后 宫 ) includes the northern sections , and was the residence of the Emperor and his family , and was used for day - to - day affairs of state . ( The approximate dividing line shown as red dash in the plan above . ) Generally , the Forbidden City has three vertical axes . The most important buildings are situated on the central north -- south axis . </P>
{ "tokens": [ "<P>", "Traditionally", ",", "the", "Forbidden", "City", "is", "divided", "into", "two", "parts", ".", "The", "Outer", "Court", "(", "外", "朝", ")", "or", "Front", "Court", "(", "前", "朝", ")", "includes", "the", "southern", "sections", ",", "and", "was", "used", "for", "ceremonial", "purposes", ".", "The", "Inner", "Court", "(", "内", "廷", ")", "or", "Back", "Palace", "(", "后", "宫", ")", "includes", "the", "northern", "sections", ",", "and", "was", "the", "residence", "of", "the", "Emperor", "and", "his", "family", ",", "and", "was", "used", "for", "day", "-", "to", "-", "day", "affairs", "of", "state", ".", "(", "The", "approximate", "dividing", "line", "shown", "as", "red", "dash", "in", "the", "plan", "above", ".", ")", "Generally", ",", "the", "Forbidden", "City", "has", "three", "vertical", "axes", ".", "The", "most", "important", "buildings", "are", "situated", "on", "the", "central", "north", "--", "south", "axis", ".", "</P>" ], "offsets": [ 0, 4, 18, 20, 24, 34, 39, 42, 50, 55, 59, 65, 67, 71, 77, 83, 85, 87, 89, 91, 94, 100, 106, 108, 110, 112, 114, 123, 127, 136, 145, 147, 151, 155, 160, 164, 175, 184, 186, 190, 196, 202, 204, 206, 208, 210, 213, 218, 225, 227, 229, 231, 233, 242, 246, 255, 264, 266, 270, 274, 278, 288, 291, 295, 303, 307, 311, 318, 320, 324, 328, 333, 337, 341, 343, 346, 348, 352, 360, 363, 369, 371, 373, 377, 389, 398, 403, 409, 412, 416, 421, 424, 428, 433, 439, 441, 443, 453, 455, 459, 469, 474, 478, 484, 493, 498, 500, 504, 509, 519, 529, 533, 542, 545, 549, 557, 563, 566, 572, 577, 579 ] }
b8a097a2fd014f23b0863b029206963a
where did the emperor live in the forbidden city
{ "tokens": [ "where", "did", "the", "emperor", "live", "in", "the", "forbidden", "city" ], "offsets": [ 0, 6, 10, 14, 22, 27, 30, 34, 44 ] }
{ "text": [ "The Inner Court ( 内 廷 ) or Back Palace ( 后 宫 )" ], "char_spans": [ { "start": [ 186 ], "end": [ 231 ] } ], "token_spans": [ { "start": [ 38 ], "end": [ 51 ] } ] }
[ "The Inner Court ( 内 廷 ) or Back Palace ( 后 宫 )" ]
NaturalQuestionsShort
<P> Charles Bronson turned down the lead role of Sam Clayton before Gene Hackman was eventually cast . The movie was filmed on location in New Mexico and Nevada and begins in a church in the small town of La Puente , New Mexico . There are numerous scenes of steam locomotives at work , shot along the Cumbres and Toltec Scenic Railroad narrow gauge railway between Chama , New Mexico , and Antonito , Colorado . Other scenes were filmed at the Carson National Forest , New Mexico ; Taos , New Mexico ; White Sands National Monument , New Mexico ; Lake Mead , Nevada ; Valley of Fire State Park , Nevada . The film 's title comes from the creation of an improvised cap made from a hollowed bullet , which is used to relieve the toothache of one of the participants in the horse race . </P>
{ "tokens": [ "<P>", "Charles", "Bronson", "turned", "down", "the", "lead", "role", "of", "Sam", "Clayton", "before", "Gene", "Hackman", "was", "eventually", "cast", ".", "The", "movie", "was", "filmed", "on", "location", "in", "New", "Mexico", "and", "Nevada", "and", "begins", "in", "a", "church", "in", "the", "small", "town", "of", "La", "Puente", ",", "New", "Mexico", ".", "There", "are", "numerous", "scenes", "of", "steam", "locomotives", "at", "work", ",", "shot", "along", "the", "Cumbres", "and", "Toltec", "Scenic", "Railroad", "narrow", "gauge", "railway", "between", "Chama", ",", "New", "Mexico", ",", "and", "Antonito", ",", "Colorado", ".", "Other", "scenes", "were", "filmed", "at", "the", "Carson", "National", "Forest", ",", "New", "Mexico", ";", "Taos", ",", "New", "Mexico", ";", "White", "Sands", "National", "Monument", ",", "New", "Mexico", ";", "Lake", "Mead", ",", "Nevada", ";", "Valley", "of", "Fire", "State", "Park", ",", "Nevada", ".", "The", "film", "'s", "title", "comes", "from", "the", "creation", "of", "an", "improvised", "cap", "made", "from", "a", "hollowed", "bullet", ",", "which", "is", "used", "to", "relieve", "the", "toothache", "of", "one", "of", "the", "participants", "in", "the", "horse", "race", ".", "</P>" ], "offsets": [ 0, 4, 12, 20, 27, 32, 36, 41, 46, 49, 53, 61, 68, 73, 81, 85, 96, 101, 103, 107, 113, 117, 124, 127, 136, 139, 143, 150, 154, 161, 165, 172, 175, 177, 184, 187, 191, 197, 202, 205, 208, 215, 217, 221, 228, 230, 236, 240, 249, 256, 259, 265, 277, 280, 285, 287, 292, 298, 302, 310, 314, 321, 328, 337, 344, 350, 358, 366, 372, 374, 378, 385, 387, 391, 400, 402, 411, 413, 419, 426, 431, 438, 441, 445, 452, 461, 468, 470, 474, 481, 483, 488, 490, 494, 501, 503, 509, 515, 524, 533, 535, 539, 546, 548, 553, 558, 560, 567, 569, 576, 579, 584, 590, 595, 597, 604, 606, 610, 615, 618, 624, 630, 635, 639, 648, 651, 654, 665, 669, 674, 679, 681, 690, 697, 699, 705, 708, 713, 716, 724, 728, 738, 741, 745, 748, 752, 765, 768, 772, 778, 783, 785 ] }
2785aa9aabf14ce6a5b9d05e9c42ce90
where was the movie bite the bullet filmed
{ "tokens": [ "where", "was", "the", "movie", "bite", "the", "bullet", "filmed" ], "offsets": [ 0, 6, 10, 14, 20, 25, 29, 36 ] }
{ "text": [ "New Mexico", "Nevada" ], "char_spans": [ { "start": [ 139 ], "end": [ 148 ] }, { "start": [ 154 ], "end": [ 159 ] } ], "token_spans": [ { "start": [ 25 ], "end": [ 26 ] }, { "start": [ 28 ], "end": [ 28 ] } ] }
[ "New Mexico", "Nevada" ]
NaturalQuestionsShort
<P> In 2011 it was held at Castle Stuart Golf Links , near Inverness , due to the financial difficulties being suffered by Loch Lomond . Play was reduced to 54 holes ( three rounds ) in the tournament due to heavy rain , which caused flooding and landslides . Aberdeen Asset Management took over sponsorship in 2013 , but the event remained at Castle Stuart in 2012 and 2013 before moving to Royal Aberdeen Golf Club in 2014 . It was played at Gullane Golf Club in 2015 and at Castle Stuart Golf Links in 2016 . In 2016 , the attendance figures at Castle Stuart were disappointing , with a reduction of more than 20,000 to 41,809 over the four tournament days . In 2017 it was held in Ayrshire , for the first time in its current guise , at Dundonald Links . </P>
{ "tokens": [ "<P>", "In", "2011", "it", "was", "held", "at", "Castle", "Stuart", "Golf", "Links", ",", "near", "Inverness", ",", "due", "to", "the", "financial", "difficulties", "being", "suffered", "by", "Loch", "Lomond", ".", "Play", "was", "reduced", "to", "54", "holes", "(", "three", "rounds", ")", "in", "the", "tournament", "due", "to", "heavy", "rain", ",", "which", "caused", "flooding", "and", "landslides", ".", "Aberdeen", "Asset", "Management", "took", "over", "sponsorship", "in", "2013", ",", "but", "the", "event", "remained", "at", "Castle", "Stuart", "in", "2012", "and", "2013", "before", "moving", "to", "Royal", "Aberdeen", "Golf", "Club", "in", "2014", ".", "It", "was", "played", "at", "Gullane", "Golf", "Club", "in", "2015", "and", "at", "Castle", "Stuart", "Golf", "Links", "in", "2016", ".", "In", "2016", ",", "the", "attendance", "figures", "at", "Castle", "Stuart", "were", "disappointing", ",", "with", "a", "reduction", "of", "more", "than", "20,000", "to", "41,809", "over", "the", "four", "tournament", "days", ".", "In", "2017", "it", "was", "held", "in", "Ayrshire", ",", "for", "the", "first", "time", "in", "its", "current", "guise", ",", "at", "Dundonald", "Links", ".", "</P>" ], "offsets": [ 0, 4, 7, 12, 15, 19, 24, 27, 34, 41, 46, 52, 54, 59, 69, 71, 75, 78, 82, 92, 105, 111, 120, 123, 128, 135, 137, 142, 146, 154, 157, 160, 166, 168, 174, 181, 183, 186, 190, 201, 205, 208, 214, 219, 221, 227, 234, 243, 247, 258, 260, 269, 275, 286, 291, 296, 308, 311, 316, 318, 322, 326, 332, 341, 344, 351, 358, 361, 366, 370, 375, 382, 389, 392, 398, 407, 412, 417, 420, 425, 427, 430, 434, 441, 444, 452, 457, 462, 465, 470, 474, 477, 484, 491, 496, 502, 505, 510, 512, 515, 520, 522, 526, 537, 545, 548, 555, 562, 567, 581, 583, 588, 590, 600, 603, 608, 613, 620, 623, 630, 635, 639, 644, 655, 660, 662, 665, 670, 673, 677, 682, 685, 694, 696, 700, 704, 710, 715, 718, 722, 730, 736, 738, 741, 751, 757, 759 ] }
7d47dbf577a24390a5e41e94422d70bb
where is the scottish golf open being played
{ "tokens": [ "where", "is", "the", "scottish", "golf", "open", "being", "played" ], "offsets": [ 0, 6, 9, 13, 22, 27, 32, 38 ] }
{ "text": [ "Ayrshire" ], "char_spans": [ { "start": [ 685 ], "end": [ 692 ] } ], "token_spans": [ { "start": [ 131 ], "end": [ 131 ] } ] }
[ "Ayrshire" ]
NaturalQuestionsShort
<P> In addition to its presence in the musical , `` And I Am Telling You I 'm Not Going '' is also notable as the debut single of two women who portrayed Effie . Jennifer Holliday originated the role on Broadway in 1981 and won a Tony Award for her performance as well as the Grammy for Best R&B Performance , Female for its re-release in 1982 for which it became a number - one R&B hit for Holliday . Jennifer Hudson portrayed Effie in the 2006 film adaptation of Dreamgirls , winning an Oscar for the role . Hudson 's version became a Top 20 R&B single , and a number - one dance hit . </P>
{ "tokens": [ "<P>", "In", "addition", "to", "its", "presence", "in", "the", "musical", ",", "``", "And", "I", "Am", "Telling", "You", "I", "'m", "Not", "Going", "''", "is", "also", "notable", "as", "the", "debut", "single", "of", "two", "women", "who", "portrayed", "Effie", ".", "Jennifer", "Holliday", "originated", "the", "role", "on", "Broadway", "in", "1981", "and", "won", "a", "Tony", "Award", "for", "her", "performance", "as", "well", "as", "the", "Grammy", "for", "Best", "R&B", "Performance", ",", "Female", "for", "its", "re-release", "in", "1982", "for", "which", "it", "became", "a", "number", "-", "one", "R&B", "hit", "for", "Holliday", ".", "Jennifer", "Hudson", "portrayed", "Effie", "in", "the", "2006", "film", "adaptation", "of", "Dreamgirls", ",", "winning", "an", "Oscar", "for", "the", "role", ".", "Hudson", "'s", "version", "became", "a", "Top", "20", "R&B", "single", ",", "and", "a", "number", "-", "one", "dance", "hit", ".", "</P>" ], "offsets": [ 0, 4, 7, 16, 19, 23, 32, 35, 39, 47, 49, 52, 56, 58, 61, 69, 73, 75, 78, 82, 88, 91, 94, 99, 107, 110, 114, 120, 127, 130, 134, 140, 144, 154, 160, 162, 171, 180, 191, 195, 200, 203, 212, 215, 220, 224, 228, 230, 235, 241, 245, 249, 261, 264, 269, 272, 276, 283, 287, 292, 296, 308, 310, 317, 321, 325, 336, 339, 344, 348, 354, 357, 364, 366, 373, 375, 379, 383, 387, 391, 400, 402, 411, 418, 428, 434, 437, 441, 446, 451, 462, 465, 476, 478, 486, 489, 495, 499, 503, 508, 510, 517, 520, 528, 535, 537, 541, 544, 548, 555, 557, 561, 563, 570, 572, 576, 582, 586, 588 ] }
249594d05c4d4f76bc8c98ad7c6a0786
who is the original singer of and i am telling you
{ "tokens": [ "who", "is", "the", "original", "singer", "of", "and", "i", "am", "telling", "you" ], "offsets": [ 0, 4, 7, 11, 20, 27, 30, 34, 36, 39, 47 ] }
{ "text": [ "Jennifer Holliday" ], "char_spans": [ { "start": [ 162 ], "end": [ 178 ] } ], "token_spans": [ { "start": [ 35 ], "end": [ 36 ] } ] }
[ "Jennifer Holliday" ]
NaturalQuestionsShort
<Table> <Tr> <Th> Office </Th> <Th> Term limits </Th> </Tr> <Tr> <Td> President </Td> <Td> Limited to being elected to a total of 2 four - year terms . A President by succession who completes more than two years of a former President 's unfinished term may be elected in his or her own right only once , and 2 more four - year terms are permitted if they complete two years or less . Becoming a President by succession may happen to someone an unlimited number of times , for example , if he or she is Vice President and the President dies , resigns or is removed from office via impeachment conviction . </Td> </Tr> <Tr> <Td> Vice President </Td> <Td> Unlimited four - year terms </Td> </Tr> <Tr> <Td> House of Representatives </Td> <Td> Unlimited two - year terms </Td> </Tr> <Tr> <Td> Senate </Td> <Td> Unlimited six - year terms </Td> </Tr> <Tr> <Td> Supreme Court </Td> <Td> No term limits , appointed to serve `` during good behavior '' ( but can be impeached and removed from office for `` high Crimes and Misdemeanors '' ) ; in practice a Justice serves until death or stepping down ( by retirement or resignation ) </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "Office", "</Th>", "<Th>", "Term", "limits", "</Th>", "</Tr>", "<Tr>", "<Td>", "President", "</Td>", "<Td>", "Limited", "to", "being", "elected", "to", "a", "total", "of", "2", "four", "-", "year", "terms", ".", "A", "President", "by", "succession", "who", "completes", "more", "than", "two", "years", "of", "a", "former", "President", "'s", "unfinished", "term", "may", "be", "elected", "in", "his", "or", "her", "own", "right", "only", "once", ",", "and", "2", "more", "four", "-", "year", "terms", "are", "permitted", "if", "they", "complete", "two", "years", "or", "less", ".", "Becoming", "a", "President", "by", "succession", "may", "happen", "to", "someone", "an", "unlimited", "number", "of", "times", ",", "for", "example", ",", "if", "he", "or", "she", "is", "Vice", "President", "and", "the", "President", "dies", ",", "resigns", "or", "is", "removed", "from", "office", "via", "impeachment", "conviction", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Vice", "President", "</Td>", "<Td>", "Unlimited", "four", "-", "year", "terms", "</Td>", "</Tr>", "<Tr>", "<Td>", "House", "of", "Representatives", "</Td>", "<Td>", "Unlimited", "two", "-", "year", "terms", "</Td>", "</Tr>", "<Tr>", "<Td>", "Senate", "</Td>", "<Td>", "Unlimited", "six", "-", "year", "terms", "</Td>", "</Tr>", "<Tr>", "<Td>", "Supreme", "Court", "</Td>", "<Td>", "No", "term", "limits", ",", "appointed", "to", "serve", "``", "during", "good", "behavior", "''", "(", "but", "can", "be", "impeached", "and", "removed", "from", "office", "for", "``", "high", "Crimes", "and", "Misdemeanors", "''", ")", ";", "in", "practice", "a", "Justice", "serves", "until", "death", "or", "stepping", "down", "(", "by", "retirement", "or", "resignation", ")", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 18, 25, 31, 36, 41, 48, 54, 60, 65, 70, 80, 86, 91, 99, 102, 108, 116, 119, 121, 127, 130, 132, 137, 139, 144, 150, 152, 154, 164, 167, 178, 182, 192, 197, 202, 206, 212, 215, 217, 224, 234, 237, 248, 253, 257, 260, 268, 271, 275, 278, 282, 286, 292, 297, 302, 304, 308, 310, 315, 320, 322, 327, 333, 337, 347, 350, 355, 364, 368, 374, 377, 382, 384, 393, 395, 405, 408, 419, 423, 430, 433, 441, 444, 454, 461, 464, 470, 472, 476, 484, 486, 489, 492, 495, 499, 502, 507, 517, 521, 525, 535, 540, 542, 550, 553, 556, 564, 569, 576, 580, 592, 603, 605, 611, 617, 622, 627, 632, 642, 648, 653, 663, 668, 670, 675, 681, 687, 693, 698, 703, 709, 712, 728, 734, 739, 749, 753, 755, 760, 766, 772, 778, 783, 788, 795, 801, 806, 816, 820, 822, 827, 833, 839, 845, 850, 855, 863, 869, 875, 880, 883, 888, 895, 897, 907, 910, 916, 919, 926, 931, 940, 943, 945, 949, 953, 956, 966, 970, 978, 983, 990, 994, 997, 1002, 1009, 1013, 1026, 1029, 1031, 1033, 1036, 1045, 1047, 1055, 1062, 1068, 1074, 1077, 1086, 1091, 1093, 1096, 1107, 1110, 1122, 1124, 1130, 1136 ] }
33b0191886374a418ee7bbad74be4e7a
how long can you serve in the house
{ "tokens": [ "how", "long", "can", "you", "serve", "in", "the", "house" ], "offsets": [ 0, 4, 9, 13, 17, 23, 26, 30 ] }
{ "text": [ "Unlimited two - year terms" ], "char_spans": [ { "start": [ 739 ], "end": [ 764 ] } ], "token_spans": [ { "start": [ 137 ], "end": [ 141 ] } ] }
[ "Unlimited two - year terms" ]
NaturalQuestionsShort
<P> Telephone numbers with the prefix 555 are widely used for fictitious telephone numbers in North American television shows , films , video games , and other media in order to prevent practical jokers and curious callers from bothering real people and organisations by telephoning numbers they see in works of fiction ; generally , in North America , a number with 555 as a prefix will not connect to a real person . </P>
{ "tokens": [ "<P>", "Telephone", "numbers", "with", "the", "prefix", "555", "are", "widely", "used", "for", "fictitious", "telephone", "numbers", "in", "North", "American", "television", "shows", ",", "films", ",", "video", "games", ",", "and", "other", "media", "in", "order", "to", "prevent", "practical", "jokers", "and", "curious", "callers", "from", "bothering", "real", "people", "and", "organisations", "by", "telephoning", "numbers", "they", "see", "in", "works", "of", "fiction", ";", "generally", ",", "in", "North", "America", ",", "a", "number", "with", "555", "as", "a", "prefix", "will", "not", "connect", "to", "a", "real", "person", ".", "</P>" ], "offsets": [ 0, 4, 14, 22, 27, 31, 38, 42, 46, 53, 58, 62, 73, 83, 91, 94, 100, 109, 120, 126, 128, 134, 136, 142, 148, 150, 154, 160, 166, 169, 175, 178, 186, 196, 203, 207, 215, 223, 228, 238, 243, 250, 254, 268, 271, 283, 291, 296, 300, 303, 309, 312, 320, 322, 332, 334, 337, 343, 351, 353, 355, 362, 367, 371, 374, 376, 383, 388, 392, 400, 403, 405, 410, 417, 419 ] }
38fab48cd7564370b97a35c5a00a3a06
why do phone numbers in movies have 555
{ "tokens": [ "why", "do", "phone", "numbers", "in", "movies", "have", "555" ], "offsets": [ 0, 4, 7, 13, 21, 24, 31, 36 ] }
{ "text": [ "will not connect to a real person" ], "char_spans": [ { "start": [ 383 ], "end": [ 415 ] } ], "token_spans": [ { "start": [ 66 ], "end": [ 72 ] } ] }
[ "will not connect to a real person" ]
NaturalQuestionsShort
<P> Dan survives the fire , but the dealership is destroyed . Dan at first thinks it was Lucas who tried to kill him when he remembers seeing him in the fire , but it is revealed that Lucas saved him . Wanting access to the fire investigation , Dan runs for mayor of Tree Hill . His family - based campaign includes having Deb pretend to love him in exchange for a final divorce . This ploy works and Dan is elected mayor . As mayor , Dan gains access to CCTV showing Keith buying the whisky used to drug Dan , and when Keith returns to town Dan has him arrested on suspicion of his attempted murder . Although the police release Keith due to lack of evidence , Dan still believes that Keith was the perpetrator , and things become worse when Keith announces that he is going to marry Karen and adopt Lucas . One day at Tree Hill High , Jimmy Edwards takes a gun to school and fires it , causing a lock down . Keith persuades Dan as mayor to let him go into the school to talk to Jimmy , but Jimmy commits suicide by shooting himself in front of Keith . Dan then gets into the school , picks up the gun and shoots Keith , killing him . Jimmy gets the blame for Keith 's death as it is assumed that he shot Keith before turning the gun on himself . Dan convinces himself that Keith deserved what he got as he started the war with Dan . Nevertheless , Dan becomes haunted , seeing visions of Keith as a child everywhere , and this has a profound effect on him . Realizing he has to change his ways he tries to get closer to Nathan , telling his son that he is proud of him and that he loves him . Haley then gives Dan a second chance by inviting him to her and Nathan 's second wedding . At the ceremony Deb tells Dan that it was her , not Keith , who tried to kill him in the fire . Dan goes to Keith 's grave and breaks down . Dan then apologizes to Karen for how he treated her and Lucas and she reveals that she is pregnant with Keith 's child . Dan takes her in his arms promising to be there for her this time . He then goes home and discovers that someone has written `` MURDERER '' on his wall . </P>
{ "tokens": [ "<P>", "Dan", "survives", "the", "fire", ",", "but", "the", "dealership", "is", "destroyed", ".", "Dan", "at", "first", "thinks", "it", "was", "Lucas", "who", "tried", "to", "kill", "him", "when", "he", "remembers", "seeing", "him", "in", "the", "fire", ",", "but", "it", "is", "revealed", "that", "Lucas", "saved", "him", ".", "Wanting", "access", "to", "the", "fire", "investigation", ",", "Dan", "runs", "for", "mayor", "of", "Tree", "Hill", ".", "His", "family", "-", "based", "campaign", "includes", "having", "Deb", "pretend", "to", "love", "him", "in", "exchange", "for", "a", "final", "divorce", ".", "This", "ploy", "works", "and", "Dan", "is", "elected", "mayor", ".", "As", "mayor", ",", "Dan", "gains", "access", "to", "CCTV", "showing", "Keith", "buying", "the", "whisky", "used", "to", "drug", "Dan", ",", "and", "when", "Keith", "returns", "to", "town", "Dan", "has", "him", "arrested", "on", "suspicion", "of", "his", "attempted", "murder", ".", "Although", "the", "police", "release", "Keith", "due", "to", "lack", "of", "evidence", ",", "Dan", "still", "believes", "that", "Keith", "was", "the", "perpetrator", ",", "and", "things", "become", "worse", "when", "Keith", "announces", "that", "he", "is", "going", "to", "marry", "Karen", "and", "adopt", "Lucas", ".", "One", "day", "at", "Tree", "Hill", "High", ",", "Jimmy", "Edwards", "takes", "a", "gun", "to", "school", "and", "fires", "it", ",", "causing", "a", "lock", "down", ".", "Keith", "persuades", "Dan", "as", "mayor", "to", "let", "him", "go", "into", "the", "school", "to", "talk", "to", "Jimmy", ",", "but", "Jimmy", "commits", "suicide", "by", "shooting", "himself", "in", "front", "of", "Keith", ".", "Dan", "then", "gets", "into", "the", "school", ",", "picks", "up", "the", "gun", "and", "shoots", "Keith", ",", "killing", "him", ".", "Jimmy", "gets", "the", "blame", "for", "Keith", "'s", "death", "as", "it", "is", "assumed", "that", "he", "shot", "Keith", "before", "turning", "the", "gun", "on", "himself", ".", "Dan", "convinces", "himself", "that", "Keith", "deserved", "what", "he", "got", "as", "he", "started", "the", "war", "with", "Dan", ".", "Nevertheless", ",", "Dan", "becomes", "haunted", ",", "seeing", "visions", "of", "Keith", "as", "a", "child", "everywhere", ",", "and", "this", "has", "a", "profound", "effect", "on", "him", ".", "Realizing", "he", "has", "to", "change", "his", "ways", "he", "tries", "to", "get", "closer", "to", "Nathan", ",", "telling", "his", "son", "that", "he", "is", "proud", "of", "him", "and", "that", "he", "loves", "him", ".", "Haley", "then", "gives", "Dan", "a", "second", "chance", "by", "inviting", "him", "to", "her", "and", "Nathan", "'s", "second", "wedding", ".", "At", "the", "ceremony", "Deb", "tells", "Dan", "that", "it", "was", "her", ",", "not", "Keith", ",", "who", "tried", "to", "kill", "him", "in", "the", "fire", ".", "Dan", "goes", "to", "Keith", "'s", "grave", "and", "breaks", "down", ".", "Dan", "then", "apologizes", "to", "Karen", "for", "how", "he", "treated", "her", "and", "Lucas", "and", "she", "reveals", "that", "she", "is", "pregnant", "with", "Keith", "'s", "child", ".", "Dan", "takes", "her", "in", "his", "arms", "promising", "to", "be", "there", "for", "her", "this", "time", ".", "He", "then", "goes", "home", "and", "discovers", "that", "someone", "has", "written", "``", "MURDERER", "''", "on", "his", "wall", ".", "</P>" ], "offsets": [ 0, 4, 8, 17, 21, 26, 28, 32, 36, 47, 50, 60, 62, 66, 69, 75, 82, 85, 89, 95, 99, 105, 108, 113, 117, 122, 125, 135, 142, 146, 149, 153, 158, 160, 164, 167, 170, 179, 184, 190, 196, 200, 202, 210, 217, 220, 224, 229, 243, 245, 249, 254, 258, 264, 267, 272, 277, 279, 283, 290, 292, 298, 307, 316, 323, 327, 335, 338, 343, 347, 350, 359, 363, 365, 371, 379, 381, 386, 391, 397, 401, 405, 408, 416, 422, 424, 427, 433, 435, 439, 445, 452, 455, 460, 468, 474, 481, 485, 492, 497, 500, 505, 509, 511, 515, 520, 526, 534, 537, 542, 546, 550, 554, 563, 566, 576, 579, 583, 593, 600, 602, 611, 615, 622, 630, 636, 640, 643, 648, 651, 660, 662, 666, 672, 681, 686, 692, 696, 700, 712, 714, 718, 725, 732, 738, 743, 749, 759, 764, 767, 770, 776, 779, 785, 791, 795, 801, 807, 809, 813, 817, 820, 825, 830, 835, 837, 843, 851, 857, 859, 863, 866, 873, 877, 883, 886, 888, 896, 898, 903, 908, 910, 916, 926, 930, 933, 939, 942, 946, 950, 953, 958, 962, 969, 972, 977, 980, 986, 988, 992, 998, 1006, 1014, 1017, 1026, 1034, 1037, 1043, 1046, 1052, 1054, 1058, 1063, 1068, 1073, 1077, 1084, 1086, 1092, 1095, 1099, 1103, 1107, 1114, 1120, 1122, 1130, 1134, 1136, 1142, 1147, 1151, 1157, 1161, 1167, 1170, 1176, 1179, 1182, 1185, 1193, 1198, 1201, 1206, 1212, 1219, 1227, 1231, 1235, 1238, 1246, 1248, 1252, 1262, 1270, 1275, 1281, 1290, 1295, 1298, 1302, 1305, 1308, 1316, 1320, 1324, 1329, 1333, 1335, 1348, 1350, 1354, 1362, 1370, 1372, 1379, 1387, 1390, 1396, 1399, 1401, 1407, 1418, 1420, 1424, 1429, 1433, 1435, 1444, 1451, 1454, 1458, 1460, 1470, 1473, 1477, 1480, 1487, 1491, 1496, 1499, 1505, 1508, 1512, 1519, 1522, 1529, 1531, 1539, 1543, 1547, 1552, 1555, 1558, 1564, 1567, 1571, 1575, 1580, 1583, 1589, 1593, 1595, 1601, 1606, 1612, 1616, 1618, 1625, 1632, 1635, 1644, 1648, 1651, 1655, 1659, 1666, 1669, 1676, 1684, 1686, 1689, 1693, 1702, 1706, 1712, 1716, 1721, 1724, 1728, 1732, 1734, 1738, 1744, 1746, 1750, 1756, 1759, 1764, 1768, 1771, 1775, 1780, 1782, 1786, 1791, 1794, 1800, 1803, 1809, 1813, 1820, 1825, 1827, 1831, 1836, 1847, 1850, 1856, 1860, 1864, 1867, 1875, 1879, 1883, 1889, 1893, 1897, 1905, 1910, 1914, 1917, 1926, 1931, 1937, 1940, 1946, 1948, 1952, 1958, 1962, 1965, 1969, 1974, 1984, 1987, 1990, 1996, 2000, 2004, 2009, 2014, 2016, 2019, 2024, 2029, 2034, 2038, 2048, 2053, 2061, 2065, 2073, 2076, 2085, 2088, 2091, 2095, 2100, 2102 ] }
53afb5d5eb0d4a8c9622e79a2907c53c
who burned down the dealership in one tree hill
{ "tokens": [ "who", "burned", "down", "the", "dealership", "in", "one", "tree", "hill" ], "offsets": [ 0, 4, 11, 16, 20, 31, 34, 38, 43 ] }
{ "text": [ "Deb" ], "char_spans": [ { "start": [ 1702 ], "end": [ 1704 ] } ], "token_spans": [ { "start": [ 343 ], "end": [ 343 ] } ] }
[ "Deb" ]
NaturalQuestionsShort
<P> Six weeks later , the rest of her friends returned to Storybrooke , but with a horrifying and shocking twist , their memories were wiped out once again and wearing Arthurian attires . As it turned out Emma made an appearance as the Dark One , with her new attire . Henry asks what happened to her , and she told them that they all went to Camelot to remove the darkness from her and they all failed ( except Henry ) . Emma with her powers turned Sneezy into stone , proclaiming that there 's no savior in the town . Emma surprisingly gave the Dark One dagger to Regina with the intention that if she goes too dark Regina would be the only one that would willingly `` put her down . '' Shortly after this , Hook attempts true love 's kiss with Emma in the hopes that the Dark One 's curse would break , but ultimately failed , as Emma has fully embraced the darkness . Unbeknownst to the others , Emma currently has possession of the Excalibur in a locked room inside of her new house . She intends to make Excalibur and the Dark One 's dagger whole again , as with it she will be able to snuff out the light forever and become invulnerable . However , she must recruit a hero to do so , as she can not remove the sword ; the hero she chooses is her predecessor Rumplestiltskin , who she tells finally has a chance to become a hero . She planned to siphon the darkness out of both of them and put it Zelena , who she forced into an accelerated labor to avoid killing Robin 's child , and slay her . She regains her memories of what Hook plans , by resurrecting all the Dark Ones as part of his revenge . At first , Emma plans to absorb all the darkness inside her and kill herself . Things do not go according to plan when Hook steals it from her . Killian orders her to kill him , taking in all the darkness and Emma slays him with Excalibur while the darkness is removed from her , reverting to her old self . After blackmailing Mr. Gold for tricking her and Hook into making him the Dark One again , she and her friends and family descend into the Underworld to find Hook and plans to split her heart in half and share it with him like her parents . </P>
{ "tokens": [ "<P>", "Six", "weeks", "later", ",", "the", "rest", "of", "her", "friends", "returned", "to", "Storybrooke", ",", "but", "with", "a", "horrifying", "and", "shocking", "twist", ",", "their", "memories", "were", "wiped", "out", "once", "again", "and", "wearing", "Arthurian", "attires", ".", "As", "it", "turned", "out", "Emma", "made", "an", "appearance", "as", "the", "Dark", "One", ",", "with", "her", "new", "attire", ".", "Henry", "asks", "what", "happened", "to", "her", ",", "and", "she", "told", "them", "that", "they", "all", "went", "to", "Camelot", "to", "remove", "the", "darkness", "from", "her", "and", "they", "all", "failed", "(", "except", "Henry", ")", ".", "Emma", "with", "her", "powers", "turned", "Sneezy", "into", "stone", ",", "proclaiming", "that", "there", "'s", "no", "savior", "in", "the", "town", ".", "Emma", "surprisingly", "gave", "the", "Dark", "One", "dagger", "to", "Regina", "with", "the", "intention", "that", "if", "she", "goes", "too", "dark", "Regina", "would", "be", "the", "only", "one", "that", "would", "willingly", "``", "put", "her", "down", ".", "''", "Shortly", "after", "this", ",", "Hook", "attempts", "true", "love", "'s", "kiss", "with", "Emma", "in", "the", "hopes", "that", "the", "Dark", "One", "'s", "curse", "would", "break", ",", "but", "ultimately", "failed", ",", "as", "Emma", "has", "fully", "embraced", "the", "darkness", ".", "Unbeknownst", "to", "the", "others", ",", "Emma", "currently", "has", "possession", "of", "the", "Excalibur", "in", "a", "locked", "room", "inside", "of", "her", "new", "house", ".", "She", "intends", "to", "make", "Excalibur", "and", "the", "Dark", "One", "'s", "dagger", "whole", "again", ",", "as", "with", "it", "she", "will", "be", "able", "to", "snuff", "out", "the", "light", "forever", "and", "become", "invulnerable", ".", "However", ",", "she", "must", "recruit", "a", "hero", "to", "do", "so", ",", "as", "she", "can", "not", "remove", "the", "sword", ";", "the", "hero", "she", "chooses", "is", "her", "predecessor", "Rumplestiltskin", ",", "who", "she", "tells", "finally", "has", "a", "chance", "to", "become", "a", "hero", ".", "She", "planned", "to", "siphon", "the", "darkness", "out", "of", "both", "of", "them", "and", "put", "it", "Zelena", ",", "who", "she", "forced", "into", "an", "accelerated", "labor", "to", "avoid", "killing", "Robin", "'s", "child", ",", "and", "slay", "her", ".", "She", "regains", "her", "memories", "of", "what", "Hook", "plans", ",", "by", "resurrecting", "all", "the", "Dark", "Ones", "as", "part", "of", "his", "revenge", ".", "At", "first", ",", "Emma", "plans", "to", "absorb", "all", "the", "darkness", "inside", "her", "and", "kill", "herself", ".", "Things", "do", "not", "go", "according", "to", "plan", "when", "Hook", "steals", "it", "from", "her", ".", "Killian", "orders", "her", "to", "kill", "him", ",", "taking", "in", "all", "the", "darkness", "and", "Emma", "slays", "him", "with", "Excalibur", "while", "the", "darkness", "is", "removed", "from", "her", ",", "reverting", "to", "her", "old", "self", ".", "After", "blackmailing", "Mr.", "Gold", "for", "tricking", "her", "and", "Hook", "into", "making", "him", "the", "Dark", "One", "again", ",", "she", "and", "her", "friends", "and", "family", "descend", "into", "the", "Underworld", "to", "find", "Hook", "and", "plans", "to", "split", "her", "heart", "in", "half", "and", "share", "it", "with", "him", "like", "her", "parents", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 20, 22, 26, 31, 34, 38, 46, 55, 58, 70, 72, 76, 81, 83, 94, 98, 107, 113, 115, 121, 130, 135, 141, 145, 150, 156, 160, 168, 178, 186, 188, 191, 194, 201, 205, 210, 215, 218, 229, 232, 236, 241, 245, 247, 252, 256, 260, 267, 269, 275, 280, 285, 294, 297, 301, 303, 307, 311, 316, 321, 326, 331, 335, 340, 343, 351, 354, 361, 365, 374, 379, 383, 387, 392, 396, 403, 405, 412, 418, 420, 422, 427, 432, 436, 443, 450, 457, 462, 468, 470, 482, 487, 493, 496, 499, 506, 509, 513, 518, 520, 525, 538, 543, 547, 552, 556, 563, 566, 573, 578, 582, 592, 597, 600, 604, 609, 613, 618, 625, 631, 634, 638, 643, 647, 652, 658, 668, 671, 675, 679, 684, 686, 689, 697, 703, 708, 710, 715, 724, 729, 734, 737, 742, 747, 752, 755, 759, 765, 770, 774, 779, 783, 786, 792, 798, 804, 806, 810, 821, 828, 830, 833, 838, 842, 848, 857, 861, 870, 872, 884, 887, 891, 898, 900, 905, 915, 919, 930, 933, 937, 947, 950, 952, 959, 964, 971, 974, 978, 982, 988, 990, 994, 1002, 1005, 1010, 1020, 1024, 1028, 1033, 1037, 1040, 1047, 1053, 1059, 1061, 1064, 1069, 1072, 1076, 1081, 1084, 1089, 1092, 1098, 1102, 1106, 1112, 1120, 1124, 1131, 1144, 1146, 1154, 1156, 1160, 1165, 1173, 1175, 1180, 1183, 1186, 1189, 1191, 1194, 1198, 1202, 1206, 1213, 1217, 1223, 1225, 1229, 1234, 1238, 1246, 1249, 1253, 1265, 1281, 1283, 1287, 1291, 1297, 1305, 1309, 1311, 1318, 1321, 1328, 1330, 1335, 1337, 1341, 1349, 1352, 1359, 1363, 1372, 1376, 1379, 1384, 1387, 1392, 1396, 1400, 1403, 1410, 1412, 1416, 1420, 1427, 1432, 1435, 1447, 1453, 1456, 1462, 1470, 1476, 1479, 1485, 1487, 1491, 1496, 1500, 1502, 1506, 1514, 1518, 1527, 1530, 1535, 1540, 1546, 1548, 1551, 1564, 1568, 1572, 1577, 1582, 1585, 1590, 1593, 1597, 1605, 1607, 1610, 1616, 1618, 1623, 1629, 1632, 1639, 1643, 1647, 1656, 1663, 1667, 1671, 1676, 1684, 1686, 1693, 1696, 1700, 1703, 1713, 1716, 1721, 1726, 1731, 1738, 1741, 1746, 1750, 1752, 1760, 1767, 1771, 1774, 1779, 1783, 1785, 1792, 1795, 1799, 1803, 1812, 1816, 1821, 1827, 1831, 1836, 1846, 1852, 1856, 1865, 1868, 1876, 1881, 1885, 1887, 1897, 1900, 1904, 1908, 1913, 1915, 1921, 1934, 1938, 1943, 1947, 1956, 1960, 1964, 1969, 1974, 1981, 1985, 1989, 1994, 1998, 2004, 2006, 2010, 2014, 2018, 2026, 2030, 2037, 2045, 2050, 2054, 2065, 2068, 2073, 2078, 2082, 2088, 2091, 2097, 2101, 2107, 2110, 2115, 2119, 2125, 2128, 2133, 2137, 2142, 2146, 2154, 2156 ] }
bdcca03c3a5b4e11b2efd9d26866a09c
when does emma stop being the dark one
{ "tokens": [ "when", "does", "emma", "stop", "being", "the", "dark", "one" ], "offsets": [ 0, 5, 10, 15, 20, 26, 30, 35 ] }
{ "text": [ "when Hook steals it from her" ], "char_spans": [ { "start": [ 1721 ], "end": [ 1748 ] } ], "token_spans": [ { "start": [ 343 ], "end": [ 348 ] } ] }
[ "when Hook steals it from her" ]
NaturalQuestionsShort
<Table> <Tr> <Th> </Th> <Th> Country </Th> <Th> Oil Production ( bbl / day , 2016 ) </Th> </Tr> <Tr> <Td> </Td> <Td> Russia </Td> <Td> 10,551,497 </Td> </Tr> <Tr> <Td> </Td> <Td> Saudi Arabia ( OPEC ) </Td> <Td> 10,460,710 </Td> </Tr> <Tr> <Td> </Td> <Td> United States </Td> <Td> 8,875,817 </Td> </Tr> <Tr> <Td> </Td> <Td> Iraq ( OPEC ) </Td> <Td> 4,451,516 </Td> </Tr> <Tr> <Td> 5 </Td> <Td> Iran ( OPEC ) </Td> <Td> 3,990,956 </Td> </Tr> <Tr> <Td> 6 </Td> <Td> China </Td> <Td> 3,980,650 </Td> </Tr> <Tr> <Td> 7 </Td> <Td> Canada </Td> <Td> 3,662,694 </Td> </Tr> <Tr> <Td> 8 </Td> <Td> United Arab Emirates ( OPEC ) </Td> <Td> 3,106,077 </Td> </Tr> <Tr> <Td> 9 </Td> <Td> Kuwait ( OPEC ) </Td> <Td> 2,923,825 </Td> </Tr> <Tr> <Td> 10 </Td> <Td> Brazil </Td> <Td> 2,515,459 </Td> </Tr> <Tr> <Td> 11 </Td> <Td> Venezuela ( OPEC ) </Td> <Td> 2,276,967 </Td> </Tr> <Tr> <Td> 12 </Td> <Td> Mexico </Td> <Td> 2,186,877 </Td> </Tr> <Tr> <Td> 13 </Td> <Td> Nigeria ( OPEC ) </Td> <Td> 1,999,885 </Td> </Tr> <Tr> <Td> 14 </Td> <Td> Angola ( OPEC ) </Td> <Td> 1,769,615 </Td> </Tr> <Tr> <Td> 15 </Td> <Td> Norway </Td> <Td> 1,647,975 </Td> </Tr> <Tr> <Td> 16 </Td> <Td> Kazakhstan </Td> <Td> 1,595,199 </Td> </Tr> <Tr> <Td> 17 </Td> <Td> Qatar ( OPEC ) </Td> <Td> 1,522,902 </Td> </Tr> <Tr> <Td> 18 </Td> <Td> Algeria ( OPEC ) </Td> <Td> 1,348,361 </Td> </Tr> <Tr> <Td> 19 </Td> <Td> Oman </Td> <Td> 1,006,841 </Td> </Tr> <Tr> <Td> 20 </Td> <Td> United Kingdom </Td> <Td> 939,760 </Td> </Tr> <Tr> <Td> 21 </Td> <Td> Colombia </Td> <Td> 897,784 </Td> </Tr> <Tr> <Td> 22 </Td> <Td> Indonesia </Td> <Td> 833,667 </Td> </Tr> <Tr> <Td> 23 </Td> <Td> Azerbaijan </Td> <Td> 833,538 </Td> </Tr> <Tr> <Td> 24 </Td> <Td> India </Td> <Td> 734,180 </Td> </Tr> <Tr> <Td> 25 </Td> <Td> Malaysia </Td> <Td> 661,240 </Td> </Tr> <Tr> <Td> 26 </Td> <Td> Ecuador ( OPEC ) </Td> <Td> 548,421 </Td> </Tr> <Tr> <Td> 27 </Td> <Td> Argentina </Td> <Td> 510,560 </Td> </Tr> <Tr> <Td> 28 </Td> <Td> Egypt </Td> <Td> 494,325 </Td> </Tr> <Tr> <Td> 29 </Td> <Td> Libya ( OPEC ) </Td> <Td> 384,686 </Td> </Tr> <Tr> <Td> 30 </Td> <Td> Congo , Republic of the </Td> <Td> 308,363 </Td> </Tr> <Tr> <Td> 31 </Td> <Td> Vietnam </Td> <Td> 301,850 </Td> </Tr> <Tr> <Td> 32 </Td> <Td> Australia </Td> <Td> 289,749 </Td> </Tr> <Tr> <Td> 33 </Td> <Td> Thailand </Td> <Td> 257,525 </Td> </Tr> <Tr> <Td> 34 </Td> <Td> Sudan and South Sudan </Td> <Td> 255,000 </Td> </Tr> <Tr> <Td> 35 </Td> <Td> Turkmenistan </Td> <Td> 230,779 </Td> </Tr> <Tr> <Td> 36 </Td> <Td> Equatorial Guinea ( OPEC ) </Td> <Td> 227,000 </Td> </Tr> <Tr> <Td> 37 </Td> <Td> Gabon ( OPEC ) </Td> <Td> 210,820 </Td> </Tr> <Tr> <Td> 38 </Td> <Td> Denmark </Td> <Td> 140,637 </Td> </Tr> <Tr> <Td> 39 </Td> <Td> Chad </Td> <Td> 110,156 </Td> </Tr> <Tr> <Td> 40 </Td> <Td> Brunei </Td> <Td> 109,117 </Td> </Tr> <Tr> <Td> 41 </Td> <Td> Ghana </Td> <Td> 100,549 </Td> </Tr> <Tr> <Td> 42 </Td> <Td> Cameroon </Td> <Td> 93,205 </Td> </Tr> <Tr> <Td> 43 </Td> <Td> Pakistan </Td> <Td> 84,746 </Td> </Tr> <Tr> <Td> 44 </Td> <Td> Romania </Td> <Td> 77,910 </Td> </Tr> <Tr> <Td> 45 </Td> <Td> Italy </Td> <Td> 70,675 </Td> </Tr> <Tr> <Td> 46 </Td> <Td> Timor - Leste </Td> <Td> 60,661 </Td> </Tr> <Tr> <Td> 47 </Td> <Td> Trinidad and Tobago </Td> <Td> 60,090 </Td> </Tr> <Tr> <Td> 48 </Td> <Td> Bolivia </Td> <Td> 58,077 </Td> </Tr> <Tr> <Td> 49 </Td> <Td> Papua New Guinea </Td> <Td> 56,667 </Td> </Tr> <Tr> <Td> 50 </Td> <Td> Uzbekistan </Td> <Td> 52,913 </Td> </Tr> <Tr> <Td> 51.5 </Td> <Td> Bahrain </Td> <Td> 50,000 </Td> </Tr> <Tr> <Td> 51.5 </Td> <Td> Cuba </Td> <Td> 50,000 </Td> </Tr> <Tr> <Td> 53 </Td> <Td> Turkey </Td> <Td> 49,497 </Td> </Tr> <Tr> <Td> 54 </Td> <Td> Tunisia </Td> <Td> 48,757 </Td> </Tr> <Tr> <Td> 55 </Td> <Td> Germany </Td> <Td> 46,839 </Td> </Tr> <Tr> <Td> 56 </Td> <Td> Peru </Td> <Td> 40,266 </Td> </Tr> <Tr> <Td> 57 </Td> <Td> New Zealand </Td> <Td> 35,574 </Td> </Tr> <Tr> <Td> 58 </Td> <Td> Ukraine </Td> <Td> 31,989 </Td> </Tr> <Tr> <Td> 59.5 </Td> <Td> Ivory Coast </Td> <Td> 30,000 </Td> </Tr> <Tr> <Td> 59.5 </Td> <Td> Syria </Td> <Td> 30,000 </Td> </Tr> <Tr> <Td> 61 </Td> <Td> Belarus </Td> <Td> 25,000 </Td> </Tr> <Tr> <Td> 62 </Td> <Td> Mongolia </Td> <Td> 23,426 </Td> </Tr> <Tr> <Td> 63 </Td> <Td> Albania </Td> <Td> 22,915 </Td> </Tr> <Tr> <Td> 64 </Td> <Td> Yemen </Td> <Td> 22,000 </Td> </Tr> <Tr> <Td> 65 </Td> <Td> Poland </Td> <Td> 20,104 </Td> </Tr> <Tr> <Td> 67 </Td> <Td> Congo ,
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "</Th>", "<Th>", "Country", "</Th>", "<Th>", "Oil", "Production", "(", "bbl", "/", "day", ",", "2016", ")", "</Th>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Russia", "</Td>", "<Td>", "10,551,497", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Saudi", "Arabia", "(", "OPEC", ")", "</Td>", "<Td>", "10,460,710", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "United", "States", "</Td>", "<Td>", "8,875,817", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td>", "Iraq", "(", "OPEC", ")", "</Td>", "<Td>", "4,451,516", "</Td>", "</Tr>", "<Tr>", "<Td>", "5", "</Td>", "<Td>", "Iran", "(", "OPEC", ")", "</Td>", "<Td>", "3,990,956", "</Td>", "</Tr>", "<Tr>", "<Td>", "6", "</Td>", "<Td>", "China", "</Td>", "<Td>", "3,980,650", "</Td>", "</Tr>", "<Tr>", "<Td>", "7", "</Td>", "<Td>", "Canada", "</Td>", "<Td>", "3,662,694", "</Td>", "</Tr>", "<Tr>", "<Td>", "8", "</Td>", "<Td>", "United", "Arab", "Emirates", "(", "OPEC", ")", "</Td>", "<Td>", "3,106,077", "</Td>", "</Tr>", "<Tr>", "<Td>", "9", "</Td>", "<Td>", "Kuwait", "(", "OPEC", ")", "</Td>", "<Td>", "2,923,825", "</Td>", "</Tr>", "<Tr>", "<Td>", "10", "</Td>", "<Td>", "Brazil", "</Td>", "<Td>", "2,515,459", "</Td>", "</Tr>", "<Tr>", "<Td>", "11", "</Td>", "<Td>", "Venezuela", "(", "OPEC", ")", "</Td>", "<Td>", "2,276,967", "</Td>", "</Tr>", "<Tr>", "<Td>", "12", "</Td>", "<Td>", "Mexico", "</Td>", "<Td>", "2,186,877", "</Td>", "</Tr>", "<Tr>", "<Td>", "13", "</Td>", "<Td>", "Nigeria", "(", "OPEC", ")", "</Td>", "<Td>", "1,999,885", "</Td>", "</Tr>", "<Tr>", "<Td>", "14", "</Td>", "<Td>", "Angola", "(", "OPEC", ")", "</Td>", "<Td>", "1,769,615", "</Td>", "</Tr>", "<Tr>", "<Td>", "15", "</Td>", "<Td>", "Norway", "</Td>", "<Td>", "1,647,975", "</Td>", "</Tr>", "<Tr>", "<Td>", "16", "</Td>", "<Td>", "Kazakhstan", "</Td>", "<Td>", "1,595,199", "</Td>", "</Tr>", "<Tr>", "<Td>", "17", "</Td>", "<Td>", "Qatar", "(", "OPEC", ")", "</Td>", "<Td>", "1,522,902", "</Td>", "</Tr>", "<Tr>", "<Td>", "18", "</Td>", "<Td>", "Algeria", "(", "OPEC", ")", "</Td>", "<Td>", "1,348,361", "</Td>", "</Tr>", "<Tr>", "<Td>", "19", "</Td>", "<Td>", "Oman", "</Td>", "<Td>", "1,006,841", "</Td>", "</Tr>", "<Tr>", "<Td>", "20", "</Td>", "<Td>", "United", "Kingdom", "</Td>", "<Td>", "939,760", "</Td>", "</Tr>", "<Tr>", "<Td>", "21", "</Td>", "<Td>", "Colombia", "</Td>", "<Td>", "897,784", "</Td>", "</Tr>", "<Tr>", "<Td>", "22", "</Td>", "<Td>", "Indonesia", "</Td>", "<Td>", "833,667", "</Td>", "</Tr>", "<Tr>", "<Td>", "23", "</Td>", "<Td>", "Azerbaijan", "</Td>", "<Td>", "833,538", "</Td>", "</Tr>", "<Tr>", "<Td>", "24", "</Td>", "<Td>", "India", "</Td>", "<Td>", "734,180", "</Td>", "</Tr>", "<Tr>", "<Td>", "25", "</Td>", "<Td>", "Malaysia", "</Td>", "<Td>", "661,240", "</Td>", "</Tr>", "<Tr>", "<Td>", "26", "</Td>", "<Td>", "Ecuador", "(", "OPEC", ")", "</Td>", "<Td>", "548,421", "</Td>", "</Tr>", "<Tr>", "<Td>", "27", "</Td>", "<Td>", "Argentina", "</Td>", "<Td>", "510,560", "</Td>", "</Tr>", "<Tr>", "<Td>", "28", "</Td>", "<Td>", "Egypt", "</Td>", "<Td>", "494,325", "</Td>", "</Tr>", "<Tr>", "<Td>", "29", "</Td>", "<Td>", "Libya", "(", "OPEC", ")", "</Td>", "<Td>", "384,686", "</Td>", "</Tr>", "<Tr>", "<Td>", "30", "</Td>", "<Td>", "Congo", ",", "Republic", "of", "the", "</Td>", "<Td>", "308,363", "</Td>", "</Tr>", "<Tr>", "<Td>", "31", "</Td>", "<Td>", "Vietnam", "</Td>", "<Td>", "301,850", "</Td>", "</Tr>", "<Tr>", "<Td>", "32", "</Td>", "<Td>", "Australia", "</Td>", "<Td>", "289,749", "</Td>", "</Tr>", "<Tr>", "<Td>", "33", "</Td>", "<Td>", "Thailand", "</Td>", "<Td>", "257,525", "</Td>", "</Tr>", "<Tr>", "<Td>", "34", "</Td>", "<Td>", "Sudan", "and", "South", "Sudan", "</Td>", "<Td>", "255,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "35", "</Td>", "<Td>", "Turkmenistan", "</Td>", "<Td>", "230,779", "</Td>", "</Tr>", "<Tr>", "<Td>", "36", "</Td>", "<Td>", "Equatorial", "Guinea", "(", "OPEC", ")", "</Td>", "<Td>", "227,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "37", "</Td>", "<Td>", "Gabon", "(", "OPEC", ")", "</Td>", "<Td>", "210,820", "</Td>", "</Tr>", "<Tr>", "<Td>", "38", "</Td>", "<Td>", "Denmark", "</Td>", "<Td>", "140,637", "</Td>", "</Tr>", "<Tr>", "<Td>", "39", "</Td>", "<Td>", "Chad", "</Td>", "<Td>", "110,156", "</Td>", "</Tr>", "<Tr>", "<Td>", "40", "</Td>", "<Td>", "Brunei", "</Td>", "<Td>", "109,117", "</Td>", "</Tr>", "<Tr>", "<Td>", "41", "</Td>", "<Td>", "Ghana", "</Td>", "<Td>", "100,549", "</Td>", "</Tr>", "<Tr>", "<Td>", "42", "</Td>", "<Td>", "Cameroon", "</Td>", "<Td>", "93,205", "</Td>", "</Tr>", "<Tr>", "<Td>", "43", "</Td>", "<Td>", "Pakistan", "</Td>", "<Td>", "84,746", "</Td>", "</Tr>", "<Tr>", "<Td>", "44", "</Td>", "<Td>", "Romania", "</Td>", "<Td>", "77,910", "</Td>", "</Tr>", "<Tr>", "<Td>", "45", "</Td>", "<Td>", "Italy", "</Td>", "<Td>", "70,675", "</Td>", "</Tr>", "<Tr>", "<Td>", "46", "</Td>", "<Td>", "Timor", "-", "Leste", "</Td>", "<Td>", "60,661", "</Td>", "</Tr>", "<Tr>", "<Td>", "47", "</Td>", "<Td>", "Trinidad", "and", "Tobago", "</Td>", "<Td>", "60,090", "</Td>", "</Tr>", "<Tr>", "<Td>", "48", "</Td>", "<Td>", "Bolivia", "</Td>", "<Td>", "58,077", "</Td>", "</Tr>", "<Tr>", "<Td>", "49", "</Td>", "<Td>", "Papua", "New", "Guinea", "</Td>", "<Td>", "56,667", "</Td>", "</Tr>", "<Tr>", "<Td>", "50", "</Td>", "<Td>", "Uzbekistan", "</Td>", "<Td>", "52,913", "</Td>", "</Tr>", "<Tr>", "<Td>", "51.5", "</Td>", "<Td>", "Bahrain", "</Td>", "<Td>", "50,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "51.5", "</Td>", "<Td>", "Cuba", "</Td>", "<Td>", "50,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "53", "</Td>", "<Td>", "Turkey", "</Td>", "<Td>", "49,497", "</Td>", "</Tr>", "<Tr>", "<Td>", "54", "</Td>", "<Td>", "Tunisia", "</Td>", "<Td>", "48,757", "</Td>", "</Tr>", "<Tr>", "<Td>", "55", "</Td>", "<Td>", "Germany", "</Td>", "<Td>", "46,839", "</Td>", "</Tr>", "<Tr>", "<Td>", "56", "</Td>", "<Td>", "Peru", "</Td>", "<Td>", "40,266", "</Td>", "</Tr>", "<Tr>", "<Td>", "57", "</Td>", "<Td>", "New", "Zealand", "</Td>", "<Td>", "35,574", "</Td>", "</Tr>", "<Tr>", "<Td>", "58", "</Td>", "<Td>", "Ukraine", "</Td>", "<Td>", "31,989", "</Td>", "</Tr>", "<Tr>", "<Td>", "59.5", "</Td>", "<Td>", "Ivory", "Coast", "</Td>", "<Td>", "30,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "59.5", "</Td>", "<Td>", "Syria", "</Td>", "<Td>", "30,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "61", "</Td>", "<Td>", "Belarus", "</Td>", "<Td>", "25,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "62", "</Td>", "<Td>", "Mongolia", "</Td>", "<Td>", "23,426", "</Td>", "</Tr>", "<Tr>", "<Td>", "63", "</Td>", "<Td>", "Albania", "</Td>", "<Td>", "22,915", "</Td>", "</Tr>", "<Tr>", "<Td>", "64", "</Td>", "<Td>", "Yemen", "</Td>", "<Td>", "22,000", "</Td>", "</Tr>", "<Tr>", "<Td>", "65", "</Td>", "<Td>", "Poland", "</Td>", "<Td>", "20,104", "</Td>", "</Tr>", "<Tr>", "<Td>", "67", "</Td>", "<Td>", "Congo", "," ], "offsets": [ 0, 8, 13, 18, 24, 29, 37, 43, 48, 52, 63, 65, 69, 71, 75, 77, 82, 84, 90, 96, 101, 106, 112, 117, 124, 130, 135, 146, 152, 158, 163, 168, 174, 179, 185, 192, 194, 199, 201, 207, 212, 223, 229, 235, 240, 245, 251, 256, 263, 270, 276, 281, 291, 297, 303, 308, 313, 319, 324, 329, 331, 336, 338, 344, 349, 359, 365, 371, 376, 381, 383, 389, 394, 399, 401, 406, 408, 414, 419, 429, 435, 441, 446, 451, 453, 459, 464, 470, 476, 481, 491, 497, 503, 508, 513, 515, 521, 526, 533, 539, 544, 554, 560, 566, 571, 576, 578, 584, 589, 596, 601, 610, 612, 617, 619, 625, 630, 640, 646, 652, 657, 662, 664, 670, 675, 682, 684, 689, 691, 697, 702, 712, 718, 724, 729, 734, 737, 743, 748, 755, 761, 766, 776, 782, 788, 793, 798, 801, 807, 812, 822, 824, 829, 831, 837, 842, 852, 858, 864, 869, 874, 877, 883, 888, 895, 901, 906, 916, 922, 928, 933, 938, 941, 947, 952, 960, 962, 967, 969, 975, 980, 990, 996, 1002, 1007, 1012, 1015, 1021, 1026, 1033, 1035, 1040, 1042, 1048, 1053, 1063, 1069, 1075, 1080, 1085, 1088, 1094, 1099, 1106, 1112, 1117, 1127, 1133, 1139, 1144, 1149, 1152, 1158, 1163, 1174, 1180, 1185, 1195, 1201, 1207, 1212, 1217, 1220, 1226, 1231, 1237, 1239, 1244, 1246, 1252, 1257, 1267, 1273, 1279, 1284, 1289, 1292, 1298, 1303, 1311, 1313, 1318, 1320, 1326, 1331, 1341, 1347, 1353, 1358, 1363, 1366, 1372, 1377, 1382, 1388, 1393, 1403, 1409, 1415, 1420, 1425, 1428, 1434, 1439, 1446, 1454, 1460, 1465, 1473, 1479, 1485, 1490, 1495, 1498, 1504, 1509, 1518, 1524, 1529, 1537, 1543, 1549, 1554, 1559, 1562, 1568, 1573, 1583, 1589, 1594, 1602, 1608, 1614, 1619, 1624, 1627, 1633, 1638, 1649, 1655, 1660, 1668, 1674, 1680, 1685, 1690, 1693, 1699, 1704, 1710, 1716, 1721, 1729, 1735, 1741, 1746, 1751, 1754, 1760, 1765, 1774, 1780, 1785, 1793, 1799, 1805, 1810, 1815, 1818, 1824, 1829, 1837, 1839, 1844, 1846, 1852, 1857, 1865, 1871, 1877, 1882, 1887, 1890, 1896, 1901, 1911, 1917, 1922, 1930, 1936, 1942, 1947, 1952, 1955, 1961, 1966, 1972, 1978, 1983, 1991, 1997, 2003, 2008, 2013, 2016, 2022, 2027, 2033, 2035, 2040, 2042, 2048, 2053, 2061, 2067, 2073, 2078, 2083, 2086, 2092, 2097, 2103, 2105, 2114, 2117, 2121, 2127, 2132, 2140, 2146, 2152, 2157, 2162, 2165, 2171, 2176, 2184, 2190, 2195, 2203, 2209, 2215, 2220, 2225, 2228, 2234, 2239, 2249, 2255, 2260, 2268, 2274, 2280, 2285, 2290, 2293, 2299, 2304, 2313, 2319, 2324, 2332, 2338, 2344, 2349, 2354, 2357, 2363, 2368, 2374, 2378, 2384, 2390, 2396, 2401, 2409, 2415, 2421, 2426, 2431, 2434, 2440, 2445, 2458, 2464, 2469, 2477, 2483, 2489, 2494, 2499, 2502, 2508, 2513, 2524, 2531, 2533, 2538, 2540, 2546, 2551, 2559, 2565, 2571, 2576, 2581, 2584, 2590, 2595, 2601, 2603, 2608, 2610, 2616, 2621, 2629, 2635, 2641, 2646, 2651, 2654, 2660, 2665, 2673, 2679, 2684, 2692, 2698, 2704, 2709, 2714, 2717, 2723, 2728, 2733, 2739, 2744, 2752, 2758, 2764, 2769, 2774, 2777, 2783, 2788, 2795, 2801, 2806, 2814, 2820, 2826, 2831, 2836, 2839, 2845, 2850, 2856, 2862, 2867, 2875, 2881, 2887, 2892, 2897, 2900, 2906, 2911, 2920, 2926, 2931, 2938, 2944, 2950, 2955, 2960, 2963, 2969, 2974, 2983, 2989, 2994, 3001, 3007, 3013, 3018, 3023, 3026, 3032, 3037, 3045, 3051, 3056, 3063, 3069, 3075, 3080, 3085, 3088, 3094, 3099, 3105, 3111, 3116, 3123, 3129, 3135, 3140, 3145, 3148, 3154, 3159, 3165, 3167, 3173, 3179, 3184, 3191, 3197, 3203, 3208, 3213, 3216, 3222, 3227, 3236, 3240, 3247, 3253, 3258, 3265, 3271, 3277, 3282, 3287, 3290, 3296, 3301, 3309, 3315, 3320, 3327, 3333, 3339, 3344, 3349, 3352, 3358, 3363, 3369, 3373, 3380, 3386, 3391, 3398, 3404, 3410, 3415, 3420, 3423, 3429, 3434, 3445, 3451, 3456, 3463, 3469, 3475, 3480, 3485, 3490, 3496, 3501, 3509, 3515, 3520, 3527, 3533, 3539, 3544, 3549, 3554, 3560, 3565, 3570, 3576, 3581, 3588, 3594, 3600, 3605, 3610, 3613, 3619, 3624, 3631, 3637, 3642, 3649, 3655, 3661, 3666, 3671, 3674, 3680, 3685, 3693, 3699, 3704, 3711, 3717, 3723, 3728, 3733, 3736, 3742, 3747, 3755, 3761, 3766, 3773, 3779, 3785, 3790, 3795, 3798, 3804, 3809, 3814, 3820, 3825, 3832, 3838, 3844, 3849, 3854, 3857, 3863, 3868, 3872, 3880, 3886, 3891, 3898, 3904, 3910, 3915, 3920, 3923, 3929, 3934, 3942, 3948, 3953, 3960, 3966, 3972, 3977, 3982, 3987, 3993, 3998, 4004, 4010, 4016, 4021, 4028, 4034, 4040, 4045, 4050, 4055, 4061, 4066, 4072, 4078, 4083, 4090, 4096, 4102, 4107, 4112, 4115, 4121, 4126, 4134, 4140, 4145, 4152, 4158, 4164, 4169, 4174, 4177, 4183, 4188, 4197, 4203, 4208, 4215, 4221, 4227, 4232, 4237, 4240, 4246, 4251, 4259, 4265, 4270, 4277, 4283, 4289, 4294, 4299, 4302, 4308, 4313, 4319, 4325, 4330, 4337, 4343, 4349, 4354, 4359, 4362, 4368, 4373, 4380, 4386, 4391, 4398, 4404, 4410, 4415, 4420, 4423, 4429, 4434, 4440 ] }
16ed0b6f507a4ea1919aa93f64c9b268
how many barrels of oil does russia produce a day
{ "tokens": [ "how", "many", "barrels", "of", "oil", "does", "russia", "produce", "a", "day" ], "offsets": [ 0, 4, 9, 17, 20, 24, 29, 36, 44, 46 ] }
{ "text": [ "10,551,497" ], "char_spans": [ { "start": [ 135 ], "end": [ 144 ] } ], "token_spans": [ { "start": [ 26 ], "end": [ 26 ] } ] }
[ "10,551,497" ]
NaturalQuestionsShort
<Table> <Tr> <Th> No . </Th> <Th> Title </Th> <Th> Writer ( s ) </Th> <Th> Producer ( s ) </Th> <Th> Length </Th> </Tr> <Tr> <Td> 1 . </Td> <Td> `` In My Blood '' </Td> <Td> <Ul> <Li> Shawn Mendes </Li> <Li> Teddy Geiger </Li> <Li> Scott Harris </Li> <Li> Geoff Warburton </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 31 </Td> </Tr> <Tr> <Td> 2 . </Td> <Td> `` Nervous '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Harris </Li> <Li> Julia Michaels </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 2 : 44 </Td> </Tr> <Tr> <Td> 3 . </Td> <Td> `` Lost in Japan '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Harris </Li> <Li> Nathaniel Mercereau </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> <Li> Nate Mercereau </Li> <Li> Louis Bell </Li> </Ul> </Td> <Td> 3 : 21 </Td> </Tr> <Tr> <Td> 4 . </Td> <Td> `` Where Were You in the Morning ? '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Harris </Li> <Li> Warburton </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 20 </Td> </Tr> <Tr> <Td> 5 . </Td> <Td> `` Like to Be You '' ( featuring Julia Michaels ) </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Michaels </Li> <Li> Harris </Li> </Ul> </Td> <Td> <Ul> <Li> John Mayer </Li> </Ul> </Td> <Td> 2 : 39 </Td> </Tr> <Tr> <Td> 6 . </Td> <Td> `` Fallin ' All in You '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Ed Sheeran </Li> <Li> Johnny McDaid </Li> <Li> Fred Gibson </Li> <Li> Harris </Li> <Li> Geiger </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 55 </Td> </Tr> <Tr> <Td> 7 . </Td> <Td> `` Particular Taste '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Ryan Tedder </Li> <Li> Zach Skelton </Li> </Ul> </Td> <Td> <Ul> <Li> Tedder </Li> <Li> Skelton </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 2 : 55 </Td> </Tr> <Tr> <Td> 8 . </Td> <Td> `` Why '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Harris </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 58 </Td> </Tr> <Tr> <Td> 9 . </Td> <Td> `` Because I Had You '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Tedder </Li> <Li> Harris </Li> <Li> Skelton </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> <Li> Tedder </Li> </Ul> </Td> <Td> 2 : 22 </Td> </Tr> <Tr> <Td> 10 . </Td> <Td> `` Queen '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Harris </Li> <Li> Warburton </Li> </Ul> </Td> <Td> <Ul> <Li> Joel Little </Li> <Li> Geiger </Li> </Ul> </Td> <Td> 3 : 24 </Td> </Tr> <Tr> <Td> 11 . </Td> <Td> `` Youth '' ( featuring Khalid ) </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Khalid Robinson </Li> <Li> Harris </Li> <Li> Warburton </Li> <Li> Geiger </Li> </Ul> </Td> <Td> <Ul> <Li> Little </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 10 </Td> </Tr> <Tr> <Td> 12 . </Td> <Td> `` Mutual '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Warburton </Li> <Li> Harris </Li> <Li> Ian Kirkpatrick </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> <Li> Kirkpatrick </Li> </Ul> </Td> <Td> 2 : 28 </Td> </Tr> <Tr> <Td> 13 . </Td> <Td> `` Perfectly Wrong '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Geiger </Li> <Li> Harris </Li> <Li> Warburton </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 3 : 32 </Td> </Tr> <Tr> <Td> 14 . </Td> <Td> `` When You 're Ready '' </Td> <Td> <Ul> <Li> Mendes </Li> <Li> Harris </Li> <Li> Amy Allen </Li> <Li> Warburton </Li> <Li> Geiger </Li> </Ul> </Td> <Td> <Ul> <Li> Geiger </Li> <Li> Mendes </Li> </Ul> </Td> <Td> 2 : 49 </Td> </Tr> <Tr> <Td colspan="4"> Total length : </Td> <Td> 44 : 08 </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "No", ".", "</Th>", "<Th>", "Title", "</Th>", "<Th>", "Writer", "(", "s", ")", "</Th>", "<Th>", "Producer", "(", "s", ")", "</Th>", "<Th>", "Length", "</Th>", "</Tr>", "<Tr>", "<Td>", "1", ".", "</Td>", "<Td>", "``", "In", "My", "Blood", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Shawn", "Mendes", "</Li>", "<Li>", "Teddy", "Geiger", "</Li>", "<Li>", "Scott", "Harris", "</Li>", "<Li>", "Geoff", "Warburton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "31", "</Td>", "</Tr>", "<Tr>", "<Td>", "2", ".", "</Td>", "<Td>", "``", "Nervous", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Julia", "Michaels", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "44", "</Td>", "</Tr>", "<Tr>", "<Td>", "3", ".", "</Td>", "<Td>", "``", "Lost", "in", "Japan", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Nathaniel", "Mercereau", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "<Li>", "Nate", "Mercereau", "</Li>", "<Li>", "Louis", "Bell", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "21", "</Td>", "</Tr>", "<Tr>", "<Td>", "4", ".", "</Td>", "<Td>", "``", "Where", "Were", "You", "in", "the", "Morning", "?", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Warburton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "20", "</Td>", "</Tr>", "<Tr>", "<Td>", "5", ".", "</Td>", "<Td>", "``", "Like", "to", "Be", "You", "''", "(", "featuring", "Julia", "Michaels", ")", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Michaels", "</Li>", "<Li>", "Harris", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "John", "Mayer", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "39", "</Td>", "</Tr>", "<Tr>", "<Td>", "6", ".", "</Td>", "<Td>", "``", "Fallin", "'", "All", "in", "You", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Ed", "Sheeran", "</Li>", "<Li>", "Johnny", "McDaid", "</Li>", "<Li>", "Fred", "Gibson", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Geiger", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "55", "</Td>", "</Tr>", "<Tr>", "<Td>", "7", ".", "</Td>", "<Td>", "``", "Particular", "Taste", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Ryan", "Tedder", "</Li>", "<Li>", "Zach", "Skelton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Tedder", "</Li>", "<Li>", "Skelton", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "55", "</Td>", "</Tr>", "<Tr>", "<Td>", "8", ".", "</Td>", "<Td>", "``", "Why", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Harris", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "58", "</Td>", "</Tr>", "<Tr>", "<Td>", "9", ".", "</Td>", "<Td>", "``", "Because", "I", "Had", "You", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Tedder", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Skelton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "<Li>", "Tedder", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "22", "</Td>", "</Tr>", "<Tr>", "<Td>", "10", ".", "</Td>", "<Td>", "``", "Queen", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Warburton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Joel", "Little", "</Li>", "<Li>", "Geiger", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "24", "</Td>", "</Tr>", "<Tr>", "<Td>", "11", ".", "</Td>", "<Td>", "``", "Youth", "''", "(", "featuring", "Khalid", ")", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Khalid", "Robinson", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Warburton", "</Li>", "<Li>", "Geiger", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Little", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "10", "</Td>", "</Tr>", "<Tr>", "<Td>", "12", ".", "</Td>", "<Td>", "``", "Mutual", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Warburton", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Ian", "Kirkpatrick", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "<Li>", "Kirkpatrick", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "28", "</Td>", "</Tr>", "<Tr>", "<Td>", "13", ".", "</Td>", "<Td>", "``", "Perfectly", "Wrong", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Geiger", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Warburton", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "3", ":", "32", "</Td>", "</Tr>", "<Tr>", "<Td>", "14", ".", "</Td>", "<Td>", "``", "When", "You", "'re", "Ready", "''", "</Td>", "<Td>", "<Ul>", "<Li>", "Mendes", "</Li>", "<Li>", "Harris", "</Li>", "<Li>", "Amy", "Allen", "</Li>", "<Li>", "Warburton", "</Li>", "<Li>", "Geiger", "</Li>", "</Ul>", "</Td>", "<Td>", "<Ul>", "<Li>", "Geiger", "</Li>", "<Li>", "Mendes", "</Li>", "</Ul>", "</Td>", "<Td>", "2", ":", "49", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"4\">", "Total", "length", ":", "</Td>", "<Td>", "44", ":", "08", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 18, 21, 23, 29, 34, 40, 46, 51, 58, 60, 62, 64, 70, 75, 84, 86, 88, 90, 96, 101, 108, 114, 120, 125, 130, 132, 134, 140, 145, 148, 151, 154, 160, 163, 169, 174, 179, 184, 190, 197, 203, 208, 214, 221, 227, 232, 238, 245, 251, 256, 262, 272, 278, 284, 290, 295, 300, 305, 312, 318, 323, 330, 336, 342, 348, 353, 355, 357, 360, 366, 372, 377, 382, 384, 386, 392, 397, 400, 408, 411, 417, 422, 427, 432, 439, 445, 450, 457, 463, 468, 474, 483, 489, 495, 501, 506, 511, 516, 523, 529, 534, 541, 547, 553, 559, 564, 566, 568, 571, 577, 583, 588, 593, 595, 597, 603, 608, 611, 616, 619, 625, 628, 634, 639, 644, 649, 656, 662, 667, 674, 680, 685, 692, 698, 703, 713, 723, 729, 735, 741, 746, 751, 756, 763, 769, 774, 781, 787, 792, 797, 807, 813, 818, 824, 829, 835, 841, 847, 852, 854, 856, 859, 865, 871, 876, 881, 883, 885, 891, 896, 899, 905, 910, 914, 917, 921, 929, 931, 934, 940, 945, 950, 955, 962, 968, 973, 980, 986, 991, 998, 1004, 1009, 1019, 1025, 1031, 1037, 1042, 1047, 1052, 1059, 1065, 1070, 1077, 1083, 1089, 1095, 1100, 1102, 1104, 1107, 1113, 1119, 1124, 1129, 1131, 1133, 1139, 1144, 1147, 1152, 1155, 1158, 1162, 1165, 1167, 1177, 1183, 1192, 1194, 1200, 1205, 1210, 1215, 1222, 1228, 1233, 1242, 1248, 1253, 1260, 1266, 1272, 1278, 1283, 1288, 1293, 1298, 1304, 1310, 1316, 1322, 1327, 1329, 1331, 1334, 1340, 1346, 1351, 1356, 1358, 1360, 1366, 1371, 1374, 1381, 1383, 1387, 1390, 1394, 1397, 1403, 1408, 1413, 1418, 1425, 1431, 1436, 1439, 1447, 1453, 1458, 1465, 1472, 1478, 1483, 1488, 1495, 1501, 1506, 1513, 1519, 1524, 1531, 1537, 1543, 1549, 1554, 1559, 1564, 1571, 1577, 1582, 1589, 1595, 1601, 1607, 1612, 1614, 1616, 1619, 1625, 1631, 1636, 1641, 1643, 1645, 1651, 1656, 1659, 1670, 1676, 1679, 1685, 1690, 1695, 1700, 1707, 1713, 1718, 1723, 1730, 1736, 1741, 1746, 1754, 1760, 1766, 1772, 1777, 1782, 1787, 1794, 1800, 1805, 1813, 1819, 1824, 1831, 1837, 1843, 1849, 1854, 1856, 1858, 1861, 1867, 1873, 1878, 1883, 1885, 1887, 1893, 1898, 1901, 1905, 1908, 1914, 1919, 1924, 1929, 1936, 1942, 1947, 1954, 1960, 1965, 1972, 1978, 1984, 1990, 1995, 2000, 2005, 2012, 2018, 2023, 2030, 2036, 2042, 2048, 2053, 2055, 2057, 2060, 2066, 2072, 2077, 2082, 2084, 2086, 2092, 2097, 2100, 2108, 2110, 2114, 2118, 2121, 2127, 2132, 2137, 2142, 2149, 2155, 2160, 2167, 2173, 2178, 2185, 2191, 2196, 2203, 2209, 2214, 2222, 2228, 2234, 2240, 2245, 2250, 2255, 2262, 2268, 2273, 2280, 2286, 2291, 2298, 2304, 2310, 2316, 2321, 2323, 2325, 2328, 2334, 2340, 2345, 2350, 2353, 2355, 2361, 2366, 2369, 2375, 2378, 2384, 2389, 2394, 2399, 2406, 2412, 2417, 2424, 2430, 2435, 2442, 2448, 2453, 2463, 2469, 2475, 2481, 2486, 2491, 2496, 2501, 2508, 2514, 2519, 2526, 2532, 2538, 2544, 2549, 2551, 2553, 2556, 2562, 2568, 2573, 2578, 2581, 2583, 2589, 2594, 2597, 2603, 2606, 2608, 2618, 2625, 2627, 2633, 2638, 2643, 2648, 2655, 2661, 2666, 2673, 2682, 2688, 2693, 2700, 2706, 2711, 2721, 2727, 2732, 2739, 2745, 2751, 2757, 2762, 2767, 2772, 2779, 2785, 2790, 2797, 2803, 2809, 2815, 2820, 2822, 2824, 2827, 2833, 2839, 2844, 2849, 2852, 2854, 2860, 2865, 2868, 2875, 2878, 2884, 2889, 2894, 2899, 2906, 2912, 2917, 2924, 2930, 2935, 2945, 2951, 2956, 2963, 2969, 2974, 2978, 2990, 2996, 3002, 3008, 3013, 3018, 3023, 3030, 3036, 3041, 3048, 3054, 3059, 3071, 3077, 3083, 3089, 3094, 3096, 3098, 3101, 3107, 3113, 3118, 3123, 3126, 3128, 3134, 3139, 3142, 3152, 3158, 3161, 3167, 3172, 3177, 3182, 3189, 3195, 3200, 3207, 3213, 3218, 3225, 3231, 3236, 3246, 3252, 3258, 3264, 3269, 3274, 3279, 3286, 3292, 3297, 3304, 3310, 3316, 3322, 3327, 3329, 3331, 3334, 3340, 3346, 3351, 3356, 3359, 3361, 3367, 3372, 3375, 3380, 3384, 3388, 3394, 3397, 3403, 3408, 3413, 3418, 3425, 3431, 3436, 3443, 3449, 3454, 3458, 3464, 3470, 3475, 3485, 3491, 3496, 3503, 3509, 3515, 3521, 3526, 3531, 3536, 3543, 3549, 3554, 3561, 3567, 3573, 3579, 3584, 3586, 3588, 3591, 3597, 3603, 3608, 3612, 3625, 3631, 3638, 3640, 3646, 3651, 3654, 3656, 3659, 3665, 3671 ] }
cb8c574713c544fdbce63e9fe03fab59
who wrote fallin ' all in you shawn mendes
{ "tokens": [ "who", "wrote", "fallin", "'", "all", "in", "you", "shawn", "mendes" ], "offsets": [ 0, 4, 10, 17, 19, 23, 26, 30, 36 ] }
{ "text": [ "Shawn Mendes", "Ed Sheeran", "Johnny McDaid", "Fred Gibson", "Teddy Geiger", "Scott Harris" ], "char_spans": [ { "start": [ 184 ], "end": [ 195 ] }, { "start": [ 1436 ], "end": [ 1445 ] }, { "start": [ 1458 ], "end": [ 1470 ] }, { "start": [ 1483 ], "end": [ 1493 ] }, { "start": [ 208 ], "end": [ 219 ] }, { "start": [ 232 ], "end": [ 243 ] } ], "token_spans": [ { "start": [ 40 ], "end": [ 41 ] }, { "start": [ 279 ], "end": [ 280 ] }, { "start": [ 283 ], "end": [ 284 ] }, { "start": [ 287 ], "end": [ 288 ] }, { "start": [ 44 ], "end": [ 45 ] }, { "start": [ 48 ], "end": [ 49 ] } ] }
[ "Shawn Mendes", "Ed Sheeran", "Johnny McDaid", "Fred Gibson", "Teddy Geiger", "Scott Harris" ]
NaturalQuestionsShort
<Table> <Tr> <Th> Prefix </Th> <Th> Meaning </Th> </Tr> <Tr> <Td> AE </Td> <Td> Ammunition ship </Td> </Tr> <Tr> <Td> AFS </Td> <Td> Combat stores ship </Td> </Tr> <Tr> <Td> AHT </Td> <Td> Anchor Handling Tug </Td> </Tr> <Tr> <Td> AHTS </Td> <Td> Anchor Handling Tug Supply vessel </Td> </Tr> <Tr> <Td> AO </Td> <Td> United States Navy oiler </Td> </Tr> <Tr> <Td> AOG </Td> <Td> Gasoline tanker </Td> </Tr> <Tr> <Td> AOR </Td> <Td> Auxiliary , Replenishment Oiler </Td> </Tr> <Tr> <Td> AOT </Td> <Td> Transport Oiler </Td> </Tr> <Tr> <Td> ATB </Td> <Td> Articulated Tug Barge </Td> </Tr> <Tr> <Td> CRV </Td> <Td> Coastal Research Vessel </Td> </Tr> <Tr> <Td> C / F </Td> <Td> Car Ferry </Td> </Tr> <Tr> <Td> CS </Td> <Td> Container Ship , Cable Ship </Td> </Tr> <Tr> <Td> DB </Td> <Td> Derrick Barge </Td> </Tr> <Tr> <Td> DEPV </Td> <Td> Diesel Electric Paddle Vessel </Td> </Tr> <Tr> <Td> DLB </Td> <Td> Derrick Lay Barge </Td> </Tr> <Tr> <Td> DCV </Td> <Td> Deepwater Construction Vessel </Td> </Tr> <Tr> <Td> DSV </Td> <Td> Diving Support Vessel / Deep Submergence Vehicle </Td> </Tr> <Tr> <Td> DV </Td> <Td> Dead vessel </Td> </Tr> <Tr> <Td> ERRV </Td> <Td> Emergency Response Rescue Vessel </Td> </Tr> <Tr> <Td> FPSO </Td> <Td> Floating Production , Storage and Offloading Vessel </Td> </Tr> <Tr> <Td> FPV </Td> <Td> Free Piston Vessel </Td> </Tr> <Tr> <Td> FPV </Td> <Td> Fishery Protection Vessel </Td> </Tr> <Tr> <Td> FT </Td> <Td> Factory Stern Trawler </Td> </Tr> <Tr> <Td> FV </Td> <Td> Fishing Vessel </Td> </Tr> <Tr> <Td> GTS </Td> <Td> Gas Turbine Ship </Td> </Tr> <Tr> <Td> HLV </Td> <Td> Heavy lift vessel </Td> </Tr> <Tr> <Td> HMT </Td> <Td> Hired Military Transport ( not currently in use ) </Td> </Tr> <Tr> <Td> HSC </Td> <Td> High Speed Craft </Td> </Tr> <Tr> <Td> HSF </Td> <Td> High Speed Ferry </Td> </Tr> <Tr> <Td> HTV </Td> <Td> Heavy Transport Vessel </Td> </Tr> <Tr> <Td> IRV </Td> <Td> International Research Vessel </Td> </Tr> <Tr> <Td> ITB </Td> <Td> Integrated Tug barge </Td> </Tr> <Tr> <Td> LB </Td> <Td> Liftboat </Td> </Tr> <Tr> <Td> LNG / C </Td> <Td> Liquefied natural gas carrier </Td> </Tr> <Tr> <Td> LPG / C </Td> <Td> Liquefied petroleum gas carrier </Td> </Tr> <Tr> <Td> MF </Td> <Td> Motor Ferry </Td> </Tr> <Tr> <Td> MFV </Td> <Td> Motor Fishing Vessel ( mainly UK Royal Naval Reserve ) </Td> </Tr> <Tr> <Td> MS ( M / S ) </Td> <Td> Motor Ship ( interchangeable with MV ) </Td> </Tr> <Tr> <Td> MSV </Td> <Td> Multipurpose support / supply vessel </Td> </Tr> <Tr> <Td> MSY </Td> <Td> Motor Sailing Yacht </Td> </Tr> <Tr> <Td> MT </Td> <Td> Motor Tanker </Td> </Tr> <Tr> <Td> MTS </Td> <Td> Marine Towage and Salvage / Tugboat </Td> </Tr> <Tr> <Td> MV ( M / V ) </Td> <Td> Motor Vessel ( interchangeable with MS ) </Td> </Tr> <Tr> <Td> MY </Td> <Td> Motor Yacht </Td> </Tr> <Tr> <Td> NB </Td> <Td> Narrowboat </Td> </Tr> <Tr> <Td> NRV </Td> <Td> NATO Research Vessel </Td> </Tr> <Tr> <Td> NS </Td> <Td> Nuclear Ship </Td> </Tr> <Tr> <Td> OSV </Td> <Td> Offshore supply vessel </Td> </Tr> <Tr> <Td> PS </Td> <Td> Paddle Steamer </Td> </Tr> <Tr> <Td> PSV </Td> <Td> Platform Supply Vessel </Td> </Tr> <Tr> <Td> QSMV </Td> <Td> Quadruple Screw Motor Vessel </Td> </Tr> <Tr> <Td> QTEV </Td> <Td> Quadruple Turbo Electric Vessel </Td> </Tr> <Tr> <Td> RMS </Td> <Td> Royal Mail Ship or Royal Mail Steamer </Td> </Tr> <Tr> <Td> RNLB </Td> <Td> Royal National Lifeboat </Td> </Tr> <Tr> <Td> RRS </Td> <Td> Royal Research Ship </Td> </Tr> <Tr> <Td> RV / RSV </Td> <Td> Research Vessel </Td> </Tr> <Tr> <Td> SB </Td> <Td> Sailing Barge </Td> </Tr> <Tr> <Td> SS ( S / S ) </Td> <Td> Single - screw Steamship ( also usage as generic term for any steamship ) </Td> </Tr> <Tr> <Td> SSCV </Td> <Td> Semi-Submersible Crane Vessel </Td> </Tr> <Tr> <Td> SSS </Td> <Td> Sea Scout Ship </Td> </Tr> <Tr> <Td> SSV </Td> <Td> Sailing School Vessel , Submarine and Special Warfare Support Vessel </Td> </Tr> <Tr> <Td> ST </Td> <Td> Steam Tug or Steam Trawler </Td> </Tr> <Tr> <Td> STS </Td> <Td> Sail Training Ship </Td> </Tr> <Tr> <Td> STV </Td> <Td> Sail Training Vessel or Steam Turbine Vessel </Td> </Tr> <Tr> <Td> SV ( S / V ) </Td> <Td> Sailing Vessel </Td> </Tr> <Tr> <Td> SY </Td> <Td> Sailing Yacht or Steam Yacht </Td> </Tr> <Tr> <Td> TB </Td> <Td> Tug boat </Td> </Tr> <Tr> <Td> TEV </Td> <Td> Turbine Electric Vessel </Td> </Tr> <Tr> <Td> TIV </Td> <Td> Turbine Installation Vessel </Td> </Tr> <Tr> <Td> TrSS </Td> <Td> Triple - Screw Steamship or steamer </Td> </Tr> <Tr> <Td> TS </Td>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "Prefix", "</Th>", "<Th>", "Meaning", "</Th>", "</Tr>", "<Tr>", "<Td>", "AE", "</Td>", "<Td>", "Ammunition", "ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "AFS", "</Td>", "<Td>", "Combat", "stores", "ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "AHT", "</Td>", "<Td>", "Anchor", "Handling", "Tug", "</Td>", "</Tr>", "<Tr>", "<Td>", "AHTS", "</Td>", "<Td>", "Anchor", "Handling", "Tug", "Supply", "vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "AO", "</Td>", "<Td>", "United", "States", "Navy", "oiler", "</Td>", "</Tr>", "<Tr>", "<Td>", "AOG", "</Td>", "<Td>", "Gasoline", "tanker", "</Td>", "</Tr>", "<Tr>", "<Td>", "AOR", "</Td>", "<Td>", "Auxiliary", ",", "Replenishment", "Oiler", "</Td>", "</Tr>", "<Tr>", "<Td>", "AOT", "</Td>", "<Td>", "Transport", "Oiler", "</Td>", "</Tr>", "<Tr>", "<Td>", "ATB", "</Td>", "<Td>", "Articulated", "Tug", "Barge", "</Td>", "</Tr>", "<Tr>", "<Td>", "CRV", "</Td>", "<Td>", "Coastal", "Research", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "C", "/", "F", "</Td>", "<Td>", "Car", "Ferry", "</Td>", "</Tr>", "<Tr>", "<Td>", "CS", "</Td>", "<Td>", "Container", "Ship", ",", "Cable", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "DB", "</Td>", "<Td>", "Derrick", "Barge", "</Td>", "</Tr>", "<Tr>", "<Td>", "DEPV", "</Td>", "<Td>", "Diesel", "Electric", "Paddle", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "DLB", "</Td>", "<Td>", "Derrick", "Lay", "Barge", "</Td>", "</Tr>", "<Tr>", "<Td>", "DCV", "</Td>", "<Td>", "Deepwater", "Construction", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "DSV", "</Td>", "<Td>", "Diving", "Support", "Vessel", "/", "Deep", "Submergence", "Vehicle", "</Td>", "</Tr>", "<Tr>", "<Td>", "DV", "</Td>", "<Td>", "Dead", "vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "ERRV", "</Td>", "<Td>", "Emergency", "Response", "Rescue", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "FPSO", "</Td>", "<Td>", "Floating", "Production", ",", "Storage", "and", "Offloading", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "FPV", "</Td>", "<Td>", "Free", "Piston", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "FPV", "</Td>", "<Td>", "Fishery", "Protection", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "FT", "</Td>", "<Td>", "Factory", "Stern", "Trawler", "</Td>", "</Tr>", "<Tr>", "<Td>", "FV", "</Td>", "<Td>", "Fishing", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "GTS", "</Td>", "<Td>", "Gas", "Turbine", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "HLV", "</Td>", "<Td>", "Heavy", "lift", "vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "HMT", "</Td>", "<Td>", "Hired", "Military", "Transport", "(", "not", "currently", "in", "use", ")", "</Td>", "</Tr>", "<Tr>", "<Td>", "HSC", "</Td>", "<Td>", "High", "Speed", "Craft", "</Td>", "</Tr>", "<Tr>", "<Td>", "HSF", "</Td>", "<Td>", "High", "Speed", "Ferry", "</Td>", "</Tr>", "<Tr>", "<Td>", "HTV", "</Td>", "<Td>", "Heavy", "Transport", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "IRV", "</Td>", "<Td>", "International", "Research", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "ITB", "</Td>", "<Td>", "Integrated", "Tug", "barge", "</Td>", "</Tr>", "<Tr>", "<Td>", "LB", "</Td>", "<Td>", "Liftboat", "</Td>", "</Tr>", "<Tr>", "<Td>", "LNG", "/", "C", "</Td>", "<Td>", "Liquefied", "natural", "gas", "carrier", "</Td>", "</Tr>", "<Tr>", "<Td>", "LPG", "/", "C", "</Td>", "<Td>", "Liquefied", "petroleum", "gas", "carrier", "</Td>", "</Tr>", "<Tr>", "<Td>", "MF", "</Td>", "<Td>", "Motor", "Ferry", "</Td>", "</Tr>", "<Tr>", "<Td>", "MFV", "</Td>", "<Td>", "Motor", "Fishing", "Vessel", "(", "mainly", "UK", "Royal", "Naval", "Reserve", ")", "</Td>", "</Tr>", "<Tr>", "<Td>", "MS", "(", "M", "/", "S", ")", "</Td>", "<Td>", "Motor", "Ship", "(", "interchangeable", "with", "MV", ")", "</Td>", "</Tr>", "<Tr>", "<Td>", "MSV", "</Td>", "<Td>", "Multipurpose", "support", "/", "supply", "vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "MSY", "</Td>", "<Td>", "Motor", "Sailing", "Yacht", "</Td>", "</Tr>", "<Tr>", "<Td>", "MT", "</Td>", "<Td>", "Motor", "Tanker", "</Td>", "</Tr>", "<Tr>", "<Td>", "MTS", "</Td>", "<Td>", "Marine", "Towage", "and", "Salvage", "/", "Tugboat", "</Td>", "</Tr>", "<Tr>", "<Td>", "MV", "(", "M", "/", "V", ")", "</Td>", "<Td>", "Motor", "Vessel", "(", "interchangeable", "with", "MS", ")", "</Td>", "</Tr>", "<Tr>", "<Td>", "MY", "</Td>", "<Td>", "Motor", "Yacht", "</Td>", "</Tr>", "<Tr>", "<Td>", "NB", "</Td>", "<Td>", "Narrowboat", "</Td>", "</Tr>", "<Tr>", "<Td>", "NRV", "</Td>", "<Td>", "NATO", "Research", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "NS", "</Td>", "<Td>", "Nuclear", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "OSV", "</Td>", "<Td>", "Offshore", "supply", "vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "PS", "</Td>", "<Td>", "Paddle", "Steamer", "</Td>", "</Tr>", "<Tr>", "<Td>", "PSV", "</Td>", "<Td>", "Platform", "Supply", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "QSMV", "</Td>", "<Td>", "Quadruple", "Screw", "Motor", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "QTEV", "</Td>", "<Td>", "Quadruple", "Turbo", "Electric", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "RMS", "</Td>", "<Td>", "Royal", "Mail", "Ship", "or", "Royal", "Mail", "Steamer", "</Td>", "</Tr>", "<Tr>", "<Td>", "RNLB", "</Td>", "<Td>", "Royal", "National", "Lifeboat", "</Td>", "</Tr>", "<Tr>", "<Td>", "RRS", "</Td>", "<Td>", "Royal", "Research", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "RV", "/", "RSV", "</Td>", "<Td>", "Research", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "SB", "</Td>", "<Td>", "Sailing", "Barge", "</Td>", "</Tr>", "<Tr>", "<Td>", "SS", "(", "S", "/", "S", ")", "</Td>", "<Td>", "Single", "-", "screw", "Steamship", "(", "also", "usage", "as", "generic", "term", "for", "any", "steamship", ")", "</Td>", "</Tr>", "<Tr>", "<Td>", "SSCV", "</Td>", "<Td>", "Semi-Submersible", "Crane", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "SSS", "</Td>", "<Td>", "Sea", "Scout", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "SSV", "</Td>", "<Td>", "Sailing", "School", "Vessel", ",", "Submarine", "and", "Special", "Warfare", "Support", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "ST", "</Td>", "<Td>", "Steam", "Tug", "or", "Steam", "Trawler", "</Td>", "</Tr>", "<Tr>", "<Td>", "STS", "</Td>", "<Td>", "Sail", "Training", "Ship", "</Td>", "</Tr>", "<Tr>", "<Td>", "STV", "</Td>", "<Td>", "Sail", "Training", "Vessel", "or", "Steam", "Turbine", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "SV", "(", "S", "/", "V", ")", "</Td>", "<Td>", "Sailing", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "SY", "</Td>", "<Td>", "Sailing", "Yacht", "or", "Steam", "Yacht", "</Td>", "</Tr>", "<Tr>", "<Td>", "TB", "</Td>", "<Td>", "Tug", "boat", "</Td>", "</Tr>", "<Tr>", "<Td>", "TEV", "</Td>", "<Td>", "Turbine", "Electric", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "TIV", "</Td>", "<Td>", "Turbine", "Installation", "Vessel", "</Td>", "</Tr>", "<Tr>", "<Td>", "TrSS", "</Td>", "<Td>", "Triple", "-", "Screw", "Steamship", "or", "steamer", "</Td>", "</Tr>", "<Tr>", "<Td>", "TS", "</Td>" ], "offsets": [ 0, 8, 13, 18, 25, 31, 36, 44, 50, 56, 61, 66, 69, 75, 80, 91, 96, 102, 108, 113, 118, 122, 128, 133, 140, 147, 152, 158, 164, 169, 174, 178, 184, 189, 196, 205, 209, 215, 221, 226, 231, 236, 242, 247, 254, 263, 267, 274, 281, 287, 293, 298, 303, 306, 312, 317, 324, 331, 336, 342, 348, 354, 359, 364, 368, 374, 379, 388, 395, 401, 407, 412, 417, 421, 427, 432, 442, 444, 458, 464, 470, 476, 481, 486, 490, 496, 501, 511, 517, 523, 529, 534, 539, 543, 549, 554, 566, 570, 576, 582, 588, 593, 598, 602, 608, 613, 621, 630, 637, 643, 649, 654, 659, 661, 663, 665, 671, 676, 680, 686, 692, 698, 703, 708, 711, 717, 722, 732, 737, 739, 745, 750, 756, 762, 767, 772, 775, 781, 786, 794, 800, 806, 812, 817, 822, 827, 833, 838, 845, 854, 861, 868, 874, 880, 885, 890, 894, 900, 905, 913, 917, 923, 929, 935, 940, 945, 949, 955, 960, 970, 983, 990, 996, 1002, 1007, 1012, 1016, 1022, 1027, 1034, 1042, 1049, 1051, 1056, 1068, 1076, 1082, 1088, 1093, 1098, 1101, 1107, 1112, 1117, 1124, 1130, 1136, 1141, 1146, 1151, 1157, 1162, 1172, 1181, 1188, 1195, 1201, 1207, 1212, 1217, 1222, 1228, 1233, 1242, 1253, 1255, 1263, 1267, 1278, 1285, 1291, 1297, 1302, 1307, 1311, 1317, 1322, 1327, 1334, 1341, 1347, 1353, 1358, 1363, 1367, 1373, 1378, 1386, 1397, 1404, 1410, 1416, 1421, 1426, 1429, 1435, 1440, 1448, 1454, 1462, 1468, 1474, 1479, 1484, 1487, 1493, 1498, 1506, 1513, 1519, 1525, 1530, 1535, 1539, 1545, 1550, 1554, 1562, 1567, 1573, 1579, 1584, 1589, 1593, 1599, 1604, 1610, 1615, 1622, 1628, 1634, 1639, 1644, 1648, 1654, 1659, 1665, 1674, 1684, 1686, 1690, 1700, 1703, 1707, 1709, 1715, 1721, 1726, 1731, 1735, 1741, 1746, 1751, 1757, 1763, 1769, 1775, 1780, 1785, 1789, 1795, 1800, 1805, 1811, 1817, 1823, 1829, 1834, 1839, 1843, 1849, 1854, 1860, 1870, 1877, 1883, 1889, 1894, 1899, 1903, 1909, 1914, 1928, 1937, 1944, 1950, 1956, 1961, 1966, 1970, 1976, 1981, 1992, 1996, 2002, 2008, 2014, 2019, 2024, 2027, 2033, 2038, 2047, 2053, 2059, 2064, 2069, 2073, 2075, 2077, 2083, 2088, 2098, 2106, 2110, 2118, 2124, 2130, 2135, 2140, 2144, 2146, 2148, 2154, 2159, 2169, 2179, 2183, 2191, 2197, 2203, 2208, 2213, 2216, 2222, 2227, 2233, 2239, 2245, 2251, 2256, 2261, 2265, 2271, 2276, 2282, 2290, 2297, 2299, 2306, 2309, 2315, 2321, 2329, 2331, 2337, 2343, 2348, 2353, 2356, 2358, 2360, 2362, 2364, 2366, 2372, 2377, 2383, 2388, 2390, 2406, 2411, 2414, 2416, 2422, 2428, 2433, 2438, 2442, 2448, 2453, 2466, 2474, 2476, 2483, 2490, 2496, 2502, 2507, 2512, 2516, 2522, 2527, 2533, 2541, 2547, 2553, 2559, 2564, 2569, 2572, 2578, 2583, 2589, 2596, 2602, 2608, 2613, 2618, 2622, 2628, 2633, 2640, 2647, 2651, 2659, 2661, 2669, 2675, 2681, 2686, 2691, 2694, 2696, 2698, 2700, 2702, 2704, 2710, 2715, 2721, 2728, 2730, 2746, 2751, 2754, 2756, 2762, 2768, 2773, 2778, 2781, 2787, 2792, 2798, 2804, 2810, 2816, 2821, 2826, 2829, 2835, 2840, 2851, 2857, 2863, 2868, 2873, 2877, 2883, 2888, 2893, 2902, 2909, 2915, 2921, 2926, 2931, 2934, 2940, 2945, 2953, 2958, 2964, 2970, 2975, 2980, 2984, 2990, 2995, 3004, 3011, 3018, 3024, 3030, 3035, 3040, 3043, 3049, 3054, 3061, 3069, 3075, 3081, 3086, 3091, 3095, 3101, 3106, 3115, 3122, 3129, 3135, 3141, 3146, 3151, 3156, 3162, 3167, 3177, 3183, 3189, 3196, 3202, 3208, 3213, 3218, 3223, 3229, 3234, 3244, 3250, 3259, 3266, 3272, 3278, 3283, 3288, 3292, 3298, 3303, 3309, 3314, 3319, 3322, 3328, 3333, 3341, 3347, 3353, 3358, 3363, 3368, 3374, 3379, 3385, 3394, 3403, 3409, 3415, 3420, 3425, 3429, 3435, 3440, 3446, 3455, 3460, 3466, 3472, 3477, 3482, 3485, 3487, 3491, 3497, 3502, 3511, 3518, 3524, 3530, 3535, 3540, 3543, 3549, 3554, 3562, 3568, 3574, 3580, 3585, 3590, 3593, 3595, 3597, 3599, 3601, 3603, 3609, 3614, 3621, 3623, 3629, 3639, 3641, 3646, 3652, 3655, 3663, 3668, 3672, 3676, 3686, 3688, 3694, 3700, 3705, 3710, 3715, 3721, 3726, 3743, 3749, 3756, 3762, 3768, 3773, 3778, 3782, 3788, 3793, 3797, 3803, 3808, 3814, 3820, 3825, 3830, 3834, 3840, 3845, 3853, 3860, 3867, 3869, 3879, 3883, 3891, 3899, 3907, 3914, 3920, 3926, 3931, 3936, 3939, 3945, 3950, 3956, 3960, 3963, 3969, 3977, 3983, 3989, 3994, 3999, 4003, 4009, 4014, 4019, 4028, 4033, 4039, 4045, 4050, 4055, 4059, 4065, 4070, 4075, 4084, 4091, 4094, 4100, 4108, 4115, 4121, 4127, 4132, 4137, 4140, 4142, 4144, 4146, 4148, 4150, 4156, 4161, 4169, 4176, 4182, 4188, 4193, 4198, 4201, 4207, 4212, 4220, 4226, 4229, 4235, 4241, 4247, 4253, 4258, 4263, 4266, 4272, 4277, 4281, 4286, 4292, 4298, 4303, 4308, 4312, 4318, 4323, 4331, 4340, 4347, 4353, 4359, 4364, 4369, 4373, 4379, 4384, 4392, 4405, 4412, 4418, 4424, 4429, 4434, 4439, 4445, 4450, 4457, 4459, 4465, 4475, 4478, 4486, 4492, 4498, 4503, 4508, 4511 ] }
eb9c3343b4c242789d688a5ea19fa14c
what does s s stand for on a boat
{ "tokens": [ "what", "does", "s", "s", "stand", "for", "on", "a", "boat" ], "offsets": [ 0, 5, 10, 12, 14, 20, 24, 27, 29 ] }
{ "text": [ "Single - screw Steamship" ], "char_spans": [ { "start": [ 3614 ], "end": [ 3637 ] } ], "token_spans": [ { "start": [ 639 ], "end": [ 642 ] } ] }
[ "Single - screw Steamship" ]
NaturalQuestionsShort
<P> Magic can be played by two or more players in various formats , which fall into two categories : constructed and limited . Limited formats involve players building a deck spontaneously out of a pool of random cards with a minimum deck size of 40 cards . In constructed , players created decks from cards they own , usually 60 cards with no more than 4 of any given card . Magic is played in person with printed cards , or using a deck of virtual cards through the Internet - based Magic : The Gathering Online , or on a smartphone or tablet , or through other programs . </P>
{ "tokens": [ "<P>", "Magic", "can", "be", "played", "by", "two", "or", "more", "players", "in", "various", "formats", ",", "which", "fall", "into", "two", "categories", ":", "constructed", "and", "limited", ".", "Limited", "formats", "involve", "players", "building", "a", "deck", "spontaneously", "out", "of", "a", "pool", "of", "random", "cards", "with", "a", "minimum", "deck", "size", "of", "40", "cards", ".", "In", "constructed", ",", "players", "created", "decks", "from", "cards", "they", "own", ",", "usually", "60", "cards", "with", "no", "more", "than", "4", "of", "any", "given", "card", ".", "Magic", "is", "played", "in", "person", "with", "printed", "cards", ",", "or", "using", "a", "deck", "of", "virtual", "cards", "through", "the", "Internet", "-", "based", "Magic", ":", "The", "Gathering", "Online", ",", "or", "on", "a", "smartphone", "or", "tablet", ",", "or", "through", "other", "programs", ".", "</P>" ], "offsets": [ 0, 4, 10, 14, 17, 24, 27, 31, 34, 39, 47, 50, 58, 66, 68, 74, 79, 84, 88, 99, 101, 113, 117, 125, 127, 135, 143, 151, 159, 168, 170, 175, 189, 193, 196, 198, 203, 206, 213, 219, 224, 226, 234, 239, 244, 247, 250, 256, 258, 261, 273, 275, 283, 291, 297, 302, 308, 313, 317, 319, 327, 330, 336, 341, 344, 349, 354, 356, 359, 363, 369, 374, 376, 382, 385, 392, 395, 402, 407, 415, 421, 423, 426, 432, 434, 439, 442, 450, 456, 464, 468, 477, 479, 485, 491, 493, 497, 507, 514, 516, 519, 522, 524, 535, 538, 545, 547, 550, 558, 564, 573, 575 ] }
8ca59efd9c9141d68e31d2ce52796807
magic the gathering how many cards in deck
{ "tokens": [ "magic", "the", "gathering", "how", "many", "cards", "in", "deck" ], "offsets": [ 0, 6, 10, 20, 24, 29, 35, 38 ] }
{ "text": [ "usually 60 cards", "a minimum deck size of 40 cards" ], "char_spans": [ { "start": [ 319 ], "end": [ 334 ] }, { "start": [ 224 ], "end": [ 254 ] } ], "token_spans": [ { "start": [ 59 ], "end": [ 61 ] }, { "start": [ 40 ], "end": [ 46 ] } ] }
[ "usually 60 cards", "a minimum deck size of 40 cards" ]
NaturalQuestionsShort
<P> The movie was filmed at locations around Malibu . The field shots were filmed at Occidental College , in western Los Angeles County . The spirit championships were filmed at Glendale Community College in Glendale , California and California State University Northridge in Northridge , California . </P>
{ "tokens": [ "<P>", "The", "movie", "was", "filmed", "at", "locations", "around", "Malibu", ".", "The", "field", "shots", "were", "filmed", "at", "Occidental", "College", ",", "in", "western", "Los", "Angeles", "County", ".", "The", "spirit", "championships", "were", "filmed", "at", "Glendale", "Community", "College", "in", "Glendale", ",", "California", "and", "California", "State", "University", "Northridge", "in", "Northridge", ",", "California", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 18, 25, 28, 38, 45, 52, 54, 58, 64, 70, 75, 82, 85, 96, 104, 106, 109, 117, 121, 129, 136, 138, 142, 149, 163, 168, 175, 178, 187, 197, 205, 208, 217, 219, 230, 234, 245, 251, 262, 273, 276, 287, 289, 300, 302 ] }
b038ec2e392c41218e29f6bcc3b2438a
where did they film bring it on fight to the finish
{ "tokens": [ "where", "did", "they", "film", "bring", "it", "on", "fight", "to", "the", "finish" ], "offsets": [ 0, 6, 10, 15, 20, 26, 29, 32, 38, 41, 45 ] }
{ "text": [ "Malibu", "Glendale , California", "Northridge , California" ], "char_spans": [ { "start": [ 45 ], "end": [ 50 ] }, { "start": [ 208 ], "end": [ 228 ] }, { "start": [ 276 ], "end": [ 298 ] } ], "token_spans": [ { "start": [ 8 ], "end": [ 8 ] }, { "start": [ 35 ], "end": [ 37 ] }, { "start": [ 44 ], "end": [ 46 ] } ] }
[ "Malibu", "Glendale , California", "Northridge , California" ]
NaturalQuestionsShort
<P> The tower was designed by Augustus Pugin in a neo-gothic style . When completed in 1859 , it was , says horologist Ian Westworth , `` the prince of timekeepers : the biggest , most accurate four - faced striking and chiming clock in the world '' . It stands 315 feet ( 96 m ) tall , and the climb from ground level to the belfry is 334 steps . Its base is square , measuring 39 feet ( 12 m ) on each side . Dials of the clock are 23 feet ( 7.0 m ) in diameter . On 31 May 2009 , celebrations were held to mark the tower 's 150th anniversary . </P>
{ "tokens": [ "<P>", "The", "tower", "was", "designed", "by", "Augustus", "Pugin", "in", "a", "neo-gothic", "style", ".", "When", "completed", "in", "1859", ",", "it", "was", ",", "says", "horologist", "Ian", "Westworth", ",", "``", "the", "prince", "of", "timekeepers", ":", "the", "biggest", ",", "most", "accurate", "four", "-", "faced", "striking", "and", "chiming", "clock", "in", "the", "world", "''", ".", "It", "stands", "315", "feet", "(", "96", "m", ")", "tall", ",", "and", "the", "climb", "from", "ground", "level", "to", "the", "belfry", "is", "334", "steps", ".", "Its", "base", "is", "square", ",", "measuring", "39", "feet", "(", "12", "m", ")", "on", "each", "side", ".", "Dials", "of", "the", "clock", "are", "23", "feet", "(", "7.0", "m", ")", "in", "diameter", ".", "On", "31", "May", "2009", ",", "celebrations", "were", "held", "to", "mark", "the", "tower", "'s", "150th", "anniversary", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 18, 27, 30, 39, 45, 48, 50, 61, 67, 69, 74, 84, 87, 92, 94, 97, 101, 103, 108, 119, 123, 133, 135, 138, 142, 149, 152, 164, 166, 170, 178, 180, 185, 194, 199, 201, 207, 216, 220, 228, 234, 237, 241, 247, 250, 252, 255, 262, 266, 271, 273, 276, 278, 280, 285, 287, 291, 295, 301, 306, 313, 319, 322, 326, 333, 336, 340, 346, 348, 352, 357, 360, 367, 369, 379, 382, 387, 389, 392, 394, 396, 399, 404, 409, 411, 417, 420, 424, 430, 434, 437, 442, 444, 448, 450, 452, 455, 464, 466, 469, 472, 476, 481, 483, 496, 501, 506, 509, 514, 518, 524, 527, 533, 545, 547 ] }
3fe2fa2c683246869b744fe7cf98f86d
when was the clock tower in london built
{ "tokens": [ "when", "was", "the", "clock", "tower", "in", "london", "built" ], "offsets": [ 0, 5, 9, 13, 19, 25, 28, 35 ] }
{ "text": [ "1859" ], "char_spans": [ { "start": [ 87 ], "end": [ 90 ] } ], "token_spans": [ { "start": [ 16 ], "end": [ 16 ] } ] }
[ "1859" ]
NaturalQuestionsShort
<P> Principal photography began in Montana on May 28 , 1991 . After several weeks of preparation , the cast and crew filmed the Oklahoma Land Rush scene on July 7 , 1991 . Eight hundred riders and extras , nine hundred horses , mule , oxen , and two hundred wagons were used on a quarter mile wide set . Twelve cameras were used to film the action sequences . Cruise 's boxing match was filmed at the Billings Depot . Local area residents were used as extras for the sequence . After filming wrapped in Billings , the cast and crew traveled to Dublin , Ireland , to complete filming . Ardmore Studios in Dublin was used to film interior sequences , and the streets of Boston were filmed in Dublin city . They spent two months there , and production was completed on September 26 , 1991 . </P>
{ "tokens": [ "<P>", "Principal", "photography", "began", "in", "Montana", "on", "May", "28", ",", "1991", ".", "After", "several", "weeks", "of", "preparation", ",", "the", "cast", "and", "crew", "filmed", "the", "Oklahoma", "Land", "Rush", "scene", "on", "July", "7", ",", "1991", ".", "Eight", "hundred", "riders", "and", "extras", ",", "nine", "hundred", "horses", ",", "mule", ",", "oxen", ",", "and", "two", "hundred", "wagons", "were", "used", "on", "a", "quarter", "mile", "wide", "set", ".", "Twelve", "cameras", "were", "used", "to", "film", "the", "action", "sequences", ".", "Cruise", "'s", "boxing", "match", "was", "filmed", "at", "the", "Billings", "Depot", ".", "Local", "area", "residents", "were", "used", "as", "extras", "for", "the", "sequence", ".", "After", "filming", "wrapped", "in", "Billings", ",", "the", "cast", "and", "crew", "traveled", "to", "Dublin", ",", "Ireland", ",", "to", "complete", "filming", ".", "Ardmore", "Studios", "in", "Dublin", "was", "used", "to", "film", "interior", "sequences", ",", "and", "the", "streets", "of", "Boston", "were", "filmed", "in", "Dublin", "city", ".", "They", "spent", "two", "months", "there", ",", "and", "production", "was", "completed", "on", "September", "26", ",", "1991", ".", "</P>" ], "offsets": [ 0, 4, 14, 26, 32, 35, 43, 46, 50, 53, 55, 60, 62, 68, 76, 82, 85, 97, 99, 103, 108, 112, 117, 124, 128, 137, 142, 147, 153, 156, 161, 163, 165, 170, 172, 178, 186, 193, 197, 204, 206, 211, 219, 226, 228, 233, 235, 240, 242, 246, 250, 258, 265, 270, 275, 278, 280, 288, 293, 298, 302, 304, 311, 319, 324, 329, 332, 337, 341, 348, 358, 360, 367, 370, 377, 383, 387, 394, 397, 401, 410, 416, 418, 424, 429, 439, 444, 449, 452, 459, 463, 467, 476, 478, 484, 492, 500, 503, 512, 514, 518, 523, 527, 532, 541, 544, 551, 553, 561, 563, 566, 575, 583, 585, 593, 601, 604, 611, 615, 620, 623, 628, 637, 647, 649, 653, 657, 665, 668, 675, 680, 687, 690, 697, 702, 704, 709, 715, 719, 726, 732, 734, 738, 749, 753, 763, 766, 776, 779, 781, 786, 788 ] }
0edf473e8f1b4388991c57e785d2c056
where was far and away filmed in ireland
{ "tokens": [ "where", "was", "far", "and", "away", "filmed", "in", "ireland" ], "offsets": [ 0, 6, 10, 14, 18, 23, 30, 33 ] }
{ "text": [ "Dublin" ], "char_spans": [ { "start": [ 604 ], "end": [ 609 ] } ], "token_spans": [ { "start": [ 116 ], "end": [ 116 ] } ] }
[ "Dublin" ]
NaturalQuestionsShort
<P> Transition state analogs ( transition state analogues ) , are chemical compounds with a chemical structure that resembles the transition state of a substrate molecule in an enzyme - catalyzed chemical reaction . Enzymes interact with a substrate by means of strain or distortions , moving the substrate towards the transition state . Transition state analogs can be used as inhibitors in enzyme - catalyzed reactions by blocking the active site of the enzyme . Theory suggests that enzyme inhibitors which resembled the transition state structure would bind more tightly to the enzyme than the actual substrate . Examples of drugs that are transition state analog inhibitors include flu medications such as the neuraminidase inhibitor oseltamivir and the HIV protease inhibitors saquinavir in the treatment of AIDS . </P>
{ "tokens": [ "<P>", "Transition", "state", "analogs", "(", "transition", "state", "analogues", ")", ",", "are", "chemical", "compounds", "with", "a", "chemical", "structure", "that", "resembles", "the", "transition", "state", "of", "a", "substrate", "molecule", "in", "an", "enzyme", "-", "catalyzed", "chemical", "reaction", ".", "Enzymes", "interact", "with", "a", "substrate", "by", "means", "of", "strain", "or", "distortions", ",", "moving", "the", "substrate", "towards", "the", "transition", "state", ".", "Transition", "state", "analogs", "can", "be", "used", "as", "inhibitors", "in", "enzyme", "-", "catalyzed", "reactions", "by", "blocking", "the", "active", "site", "of", "the", "enzyme", ".", "Theory", "suggests", "that", "enzyme", "inhibitors", "which", "resembled", "the", "transition", "state", "structure", "would", "bind", "more", "tightly", "to", "the", "enzyme", "than", "the", "actual", "substrate", ".", "Examples", "of", "drugs", "that", "are", "transition", "state", "analog", "inhibitors", "include", "flu", "medications", "such", "as", "the", "neuraminidase", "inhibitor", "oseltamivir", "and", "the", "HIV", "protease", "inhibitors", "saquinavir", "in", "the", "treatment", "of", "AIDS", ".", "</P>" ], "offsets": [ 0, 4, 15, 21, 29, 31, 42, 48, 58, 60, 62, 66, 75, 85, 90, 92, 101, 111, 116, 126, 130, 141, 147, 150, 152, 162, 171, 174, 177, 184, 186, 196, 205, 214, 216, 224, 233, 238, 240, 250, 253, 259, 262, 269, 272, 284, 286, 293, 297, 307, 315, 319, 330, 336, 338, 349, 355, 363, 367, 370, 375, 378, 389, 392, 399, 401, 411, 421, 424, 433, 437, 444, 449, 452, 456, 463, 465, 472, 481, 486, 493, 504, 510, 520, 524, 535, 541, 551, 557, 562, 567, 575, 578, 582, 589, 594, 598, 605, 615, 617, 626, 629, 635, 640, 644, 655, 661, 668, 679, 687, 691, 703, 708, 711, 715, 729, 739, 751, 755, 759, 763, 772, 783, 794, 797, 801, 811, 814, 819, 821 ] }
966bdfc8f3044f1a99756cda04f0e26b
what type of inhibitor is a transition state analog usually classified as
{ "tokens": [ "what", "type", "of", "inhibitor", "is", "a", "transition", "state", "analog", "usually", "classified", "as" ], "offsets": [ 0, 5, 10, 13, 23, 26, 28, 39, 45, 52, 60, 71 ] }
{ "text": [ "enzyme inhibitors" ], "char_spans": [ { "start": [ 486 ], "end": [ 502 ] } ], "token_spans": [ { "start": [ 79 ], "end": [ 80 ] } ] }
[ "enzyme inhibitors" ]
NaturalQuestionsShort
<P> The theme song , `` In the Heat of the Night , '' was recorded by Quincy Jones , and is usually paired with `` They Call Me Mr. Tibbs '' on albums . Bill Champlin of the band Chicago sang the opening theme song for the television series . </P>
{ "tokens": [ "<P>", "The", "theme", "song", ",", "``", "In", "the", "Heat", "of", "the", "Night", ",", "''", "was", "recorded", "by", "Quincy", "Jones", ",", "and", "is", "usually", "paired", "with", "``", "They", "Call", "Me", "Mr.", "Tibbs", "''", "on", "albums", ".", "Bill", "Champlin", "of", "the", "band", "Chicago", "sang", "the", "opening", "theme", "song", "for", "the", "television", "series", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 19, 21, 24, 27, 31, 36, 39, 43, 49, 51, 54, 58, 67, 70, 77, 83, 85, 89, 92, 100, 107, 112, 115, 120, 125, 128, 132, 138, 141, 144, 151, 153, 158, 167, 170, 174, 179, 187, 192, 196, 204, 210, 215, 219, 223, 234, 241, 243 ] }
b1c5e0744c114b938b0b76e5ab6d0c2a
who sings the theme song for the tv show in the heat of the night
{ "tokens": [ "who", "sings", "the", "theme", "song", "for", "the", "tv", "show", "in", "the", "heat", "of", "the", "night" ], "offsets": [ 0, 4, 10, 14, 20, 25, 29, 33, 36, 41, 44, 48, 53, 56, 60 ] }
{ "text": [ "Bill Champlin" ], "char_spans": [ { "start": [ 153 ], "end": [ 165 ] } ], "token_spans": [ { "start": [ 35 ], "end": [ 36 ] } ] }
[ "Bill Champlin" ]
NaturalQuestionsShort
<P> In American architecture , painted ladies are Victorian and Edwardian houses and buildings painted in three or more colors that embellish or enhance their architectural details . The term was first used for San Francisco Victorian houses by writers Elizabeth Pomada and Michael Larsen in their 1978 book Painted Ladies - San Francisco 's Resplendent Victorians . </P>
{ "tokens": [ "<P>", "In", "American", "architecture", ",", "painted", "ladies", "are", "Victorian", "and", "Edwardian", "houses", "and", "buildings", "painted", "in", "three", "or", "more", "colors", "that", "embellish", "or", "enhance", "their", "architectural", "details", ".", "The", "term", "was", "first", "used", "for", "San", "Francisco", "Victorian", "houses", "by", "writers", "Elizabeth", "Pomada", "and", "Michael", "Larsen", "in", "their", "1978", "book", "Painted", "Ladies", "-", "San", "Francisco", "'s", "Resplendent", "Victorians", ".", "</P>" ], "offsets": [ 0, 4, 7, 16, 29, 31, 39, 46, 50, 60, 64, 74, 81, 85, 95, 103, 106, 112, 115, 120, 127, 132, 142, 145, 153, 159, 173, 181, 183, 187, 192, 196, 202, 207, 211, 215, 225, 235, 242, 245, 253, 263, 270, 274, 282, 289, 292, 298, 303, 308, 316, 323, 325, 329, 339, 342, 354, 365, 367 ] }
c69ae48045264d1da14ad32d94a04ba2
what is the significance of the painted ladies
{ "tokens": [ "what", "is", "the", "significance", "of", "the", "painted", "ladies" ], "offsets": [ 0, 5, 8, 12, 25, 28, 32, 40 ] }
{ "text": [ "Victorian and Edwardian houses and buildings painted in three or more colors that embellish or enhance their architectural details" ], "char_spans": [ { "start": [ 50 ], "end": [ 179 ] } ], "token_spans": [ { "start": [ 8 ], "end": [ 26 ] } ] }
[ "Victorian and Edwardian houses and buildings painted in three or more colors that embellish or enhance their architectural details" ]
NaturalQuestionsShort
<Tr> <Th> Availability by country </Th> <Td> August 21 , 2015 ; 2 years ago ( 2015 - 08 - 21 ) </Td> </Tr>
{ "tokens": [ "<Tr>", "<Th>", "Availability", "by", "country", "</Th>", "<Td>", "August", "21", ",", "2015", ";", "2", "years", "ago", "(", "2015", "-", "08", "-", "21", ")", "</Td>", "</Tr>" ], "offsets": [ 0, 5, 10, 23, 26, 34, 40, 45, 52, 55, 57, 62, 64, 66, 72, 76, 78, 83, 85, 88, 90, 93, 95, 101 ] }
413938aabd6b42fda186aef4f922a2cc
when was the samsung galaxy note 5 released
{ "tokens": [ "when", "was", "the", "samsung", "galaxy", "note", "5", "released" ], "offsets": [ 0, 5, 9, 13, 21, 28, 33, 35 ] }
{ "text": [ "August 21 , 2015" ], "char_spans": [ { "start": [ 45 ], "end": [ 60 ] } ], "token_spans": [ { "start": [ 7 ], "end": [ 10 ] } ] }
[ "August 21 , 2015" ]
NaturalQuestionsShort
<P> The purple martin migrates to the Amazon basin in winter . Its winter range extends into Ecuador but does not seem to ascend far up the Andean foothills . </P>
{ "tokens": [ "<P>", "The", "purple", "martin", "migrates", "to", "the", "Amazon", "basin", "in", "winter", ".", "Its", "winter", "range", "extends", "into", "Ecuador", "but", "does", "not", "seem", "to", "ascend", "far", "up", "the", "Andean", "foothills", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 22, 31, 34, 38, 45, 51, 54, 61, 63, 67, 74, 80, 88, 93, 101, 105, 110, 114, 119, 122, 129, 133, 136, 140, 147, 157, 159 ] }
c05621af8a444a7aa1c8eab69e82c0ca
when do purple martins migrate to south america
{ "tokens": [ "when", "do", "purple", "martins", "migrate", "to", "south", "america" ], "offsets": [ 0, 5, 8, 15, 23, 31, 34, 40 ] }
{ "text": [ "winter" ], "char_spans": [ { "start": [ 54 ], "end": [ 59 ] } ], "token_spans": [ { "start": [ 10 ], "end": [ 10 ] } ] }
[ "winter" ]
NaturalQuestionsShort
<P> `` Where Is the Love ? '' is a song by American hip hop group The Black Eyed Peas . It was released in June 2003 as the lead single from their third album , Elephunk . The song was written by will.i.am , apl. de. ap , Taboo , Justin Timberlake , Printz Board , Michael Fratantuno and George Pajon . The track features vocals from Timberlake , although he is not officially credited on the single release . It was the band 's first song to feature singer Fergie as an official member . </P>
{ "tokens": [ "<P>", "``", "Where", "Is", "the", "Love", "?", "''", "is", "a", "song", "by", "American", "hip", "hop", "group", "The", "Black", "Eyed", "Peas", ".", "It", "was", "released", "in", "June", "2003", "as", "the", "lead", "single", "from", "their", "third", "album", ",", "Elephunk", ".", "The", "song", "was", "written", "by", "will.i.am", ",", "apl.", "de.", "ap", ",", "Taboo", ",", "Justin", "Timberlake", ",", "Printz", "Board", ",", "Michael", "Fratantuno", "and", "George", "Pajon", ".", "The", "track", "features", "vocals", "from", "Timberlake", ",", "although", "he", "is", "not", "officially", "credited", "on", "the", "single", "release", ".", "It", "was", "the", "band", "'s", "first", "song", "to", "feature", "singer", "Fergie", "as", "an", "official", "member", ".", "</P>" ], "offsets": [ 0, 4, 7, 13, 16, 20, 25, 27, 30, 33, 35, 40, 43, 52, 56, 60, 66, 70, 76, 81, 86, 88, 91, 95, 104, 107, 112, 117, 120, 124, 129, 136, 141, 147, 153, 159, 161, 170, 172, 176, 181, 185, 193, 196, 206, 208, 213, 217, 220, 222, 228, 230, 237, 248, 250, 257, 263, 265, 273, 284, 288, 295, 301, 303, 307, 313, 322, 329, 334, 345, 347, 356, 359, 362, 366, 377, 386, 389, 393, 400, 408, 410, 413, 417, 421, 426, 429, 435, 440, 443, 451, 458, 465, 468, 471, 480, 487, 489 ] }
12fd2ced1eb04f50a61bbafdd5515680
who is the original singer of where is the love
{ "tokens": [ "who", "is", "the", "original", "singer", "of", "where", "is", "the", "love" ], "offsets": [ 0, 4, 7, 11, 20, 27, 30, 36, 39, 43 ] }
{ "text": [ "The Black Eyed Peas", "Justin Timberlake" ], "char_spans": [ { "start": [ 66 ], "end": [ 84 ] }, { "start": [ 230 ], "end": [ 246 ] } ], "token_spans": [ { "start": [ 16 ], "end": [ 19 ] }, { "start": [ 51 ], "end": [ 52 ] } ] }
[ "The Black Eyed Peas", "Justin Timberlake" ]
NaturalQuestionsShort
<P> This song is sung by the nuns at Nonnberg Abbey , who are exasperated with Maria for being too frivolous and frolicsome for the decorous and austere life at the Abbey . </P>
{ "tokens": [ "<P>", "This", "song", "is", "sung", "by", "the", "nuns", "at", "Nonnberg", "Abbey", ",", "who", "are", "exasperated", "with", "Maria", "for", "being", "too", "frivolous", "and", "frolicsome", "for", "the", "decorous", "and", "austere", "life", "at", "the", "Abbey", ".", "</P>" ], "offsets": [ 0, 4, 9, 14, 17, 22, 25, 29, 34, 37, 46, 52, 54, 58, 62, 74, 79, 85, 89, 95, 99, 109, 113, 124, 128, 132, 141, 145, 153, 158, 161, 165, 171, 173 ] }
b6a7457ebaa34a1088cc89a1197bcc56
who sings how do you solve a problem like maria
{ "tokens": [ "who", "sings", "how", "do", "you", "solve", "a", "problem", "like", "maria" ], "offsets": [ 0, 4, 10, 14, 17, 21, 27, 29, 37, 42 ] }
{ "text": [ "the nuns at Nonnberg Abbey" ], "char_spans": [ { "start": [ 25 ], "end": [ 50 ] } ], "token_spans": [ { "start": [ 6 ], "end": [ 10 ] } ] }
[ "the nuns at Nonnberg Abbey" ]
NaturalQuestionsShort
<P> The Belize Barrier Reef is a series of coral reefs straddling the coast of Belize , roughly 300 meters ( 980 ft ) offshore in the north and 40 kilometers ( 25 mi ) in the south within the country limits . The Belize Barrier Reef is a 300 - kilometer ( 190 mi ) long section of the 900 - kilometer ( 560 mi ) Mesoamerican Barrier Reef System , which is continuous from Cancún on the north - eastern tip of the Yucatán Peninsula through the Riviera Maya and up to Honduras , making it the second largest coral reef system in the world after the Great Barrier Reef in Australia . It is Belize 's top tourist destination , popular for scuba diving and snorkeling and attracting almost half of its 260,000 visitors . It is also vital to the country 's fishing industry . </P>
{ "tokens": [ "<P>", "The", "Belize", "Barrier", "Reef", "is", "a", "series", "of", "coral", "reefs", "straddling", "the", "coast", "of", "Belize", ",", "roughly", "300", "meters", "(", "980", "ft", ")", "offshore", "in", "the", "north", "and", "40", "kilometers", "(", "25", "mi", ")", "in", "the", "south", "within", "the", "country", "limits", ".", "The", "Belize", "Barrier", "Reef", "is", "a", "300", "-", "kilometer", "(", "190", "mi", ")", "long", "section", "of", "the", "900", "-", "kilometer", "(", "560", "mi", ")", "Mesoamerican", "Barrier", "Reef", "System", ",", "which", "is", "continuous", "from", "Cancún", "on", "the", "north", "-", "eastern", "tip", "of", "the", "Yucatán", "Peninsula", "through", "the", "Riviera", "Maya", "and", "up", "to", "Honduras", ",", "making", "it", "the", "second", "largest", "coral", "reef", "system", "in", "the", "world", "after", "the", "Great", "Barrier", "Reef", "in", "Australia", ".", "It", "is", "Belize", "'s", "top", "tourist", "destination", ",", "popular", "for", "scuba", "diving", "and", "snorkeling", "and", "attracting", "almost", "half", "of", "its", "260,000", "visitors", ".", "It", "is", "also", "vital", "to", "the", "country", "'s", "fishing", "industry", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 23, 28, 31, 33, 40, 43, 49, 55, 66, 70, 76, 79, 86, 88, 96, 100, 107, 109, 113, 116, 118, 127, 130, 134, 140, 144, 147, 158, 160, 163, 166, 168, 171, 175, 181, 188, 192, 200, 207, 209, 213, 220, 228, 233, 236, 238, 242, 244, 254, 256, 260, 263, 265, 270, 278, 281, 285, 289, 291, 301, 303, 307, 310, 312, 325, 333, 338, 345, 347, 353, 356, 367, 372, 379, 382, 386, 392, 394, 402, 406, 409, 413, 421, 431, 439, 443, 451, 456, 460, 463, 466, 475, 477, 484, 487, 491, 498, 506, 512, 517, 524, 527, 531, 537, 543, 547, 553, 561, 566, 569, 579, 581, 584, 587, 594, 597, 601, 609, 621, 623, 631, 635, 641, 648, 652, 663, 667, 678, 685, 690, 693, 697, 705, 714, 716, 719, 722, 727, 733, 736, 740, 748, 751, 759, 768, 770 ] }
9cbc35d949e646ee9e06a04ca1188459
what is the length of belize barrier reef
{ "tokens": [ "what", "is", "the", "length", "of", "belize", "barrier", "reef" ], "offsets": [ 0, 5, 8, 12, 19, 22, 29, 37 ] }
{ "text": [ "300 - kilometer ( 190 mi )" ], "char_spans": [ { "start": [ 238 ], "end": [ 263 ] } ], "token_spans": [ { "start": [ 49 ], "end": [ 55 ] } ] }
[ "300 - kilometer ( 190 mi )" ]
NaturalQuestionsShort
<P> A Portuguese international , Ronaldo was named the best Portuguese player of all - time by the Portuguese Football Federation in 2015 . Ronaldo made his senior international debut in August 2003 , at age 18 . He is Portugal 's most capped player of all - time with over 140 caps , and has participated in seven major tournaments . He is Portugal 's all - time top goalscorer . He scored his first international goal at Euro 2004 and helped Portugal reach the final . He took over full captaincy in July 2008 , leading Portugal to their first - ever triumph in a major tournament by winning Euro 2016 , and received the Silver Boot as the second - highest goalscorer of the tournament . One of the most marketable sportsmen , he was ranked the world 's highest - paid athlete by Forbes in 2016 and 2017 , as well as the world 's most famous athlete by ESPN in 2016 and 2017 . </P>
{ "tokens": [ "<P>", "A", "Portuguese", "international", ",", "Ronaldo", "was", "named", "the", "best", "Portuguese", "player", "of", "all", "-", "time", "by", "the", "Portuguese", "Football", "Federation", "in", "2015", ".", "Ronaldo", "made", "his", "senior", "international", "debut", "in", "August", "2003", ",", "at", "age", "18", ".", "He", "is", "Portugal", "'s", "most", "capped", "player", "of", "all", "-", "time", "with", "over", "140", "caps", ",", "and", "has", "participated", "in", "seven", "major", "tournaments", ".", "He", "is", "Portugal", "'s", "all", "-", "time", "top", "goalscorer", ".", "He", "scored", "his", "first", "international", "goal", "at", "Euro", "2004", "and", "helped", "Portugal", "reach", "the", "final", ".", "He", "took", "over", "full", "captaincy", "in", "July", "2008", ",", "leading", "Portugal", "to", "their", "first", "-", "ever", "triumph", "in", "a", "major", "tournament", "by", "winning", "Euro", "2016", ",", "and", "received", "the", "Silver", "Boot", "as", "the", "second", "-", "highest", "goalscorer", "of", "the", "tournament", ".", "One", "of", "the", "most", "marketable", "sportsmen", ",", "he", "was", "ranked", "the", "world", "'s", "highest", "-", "paid", "athlete", "by", "Forbes", "in", "2016", "and", "2017", ",", "as", "well", "as", "the", "world", "'s", "most", "famous", "athlete", "by", "ESPN", "in", "2016", "and", "2017", ".", "</P>" ], "offsets": [ 0, 4, 6, 17, 31, 33, 41, 45, 51, 55, 60, 71, 78, 81, 85, 87, 92, 95, 99, 110, 119, 130, 133, 138, 140, 148, 153, 157, 164, 178, 184, 187, 194, 199, 201, 204, 208, 211, 213, 216, 219, 228, 231, 236, 243, 250, 253, 257, 259, 264, 269, 274, 278, 283, 285, 289, 293, 306, 309, 315, 321, 333, 335, 338, 341, 350, 353, 357, 359, 364, 368, 379, 381, 384, 391, 395, 401, 415, 420, 423, 428, 433, 437, 444, 453, 459, 463, 469, 471, 474, 479, 484, 489, 499, 502, 507, 512, 514, 522, 531, 534, 540, 546, 548, 553, 561, 564, 566, 572, 583, 586, 594, 599, 604, 606, 610, 619, 623, 630, 635, 638, 642, 649, 651, 659, 670, 673, 677, 688, 690, 694, 697, 701, 706, 717, 727, 729, 732, 736, 743, 747, 753, 756, 764, 766, 771, 779, 782, 789, 792, 797, 801, 806, 808, 811, 816, 819, 823, 829, 832, 837, 844, 852, 855, 860, 863, 868, 872, 877, 879 ] }
4dea55f348af4a21aba37c00f6d8fe83
when did cristiano ronaldo started playing for portugal
{ "tokens": [ "when", "did", "cristiano", "ronaldo", "started", "playing", "for", "portugal" ], "offsets": [ 0, 5, 9, 19, 27, 35, 43, 47 ] }
{ "text": [ "August 2003" ], "char_spans": [ { "start": [ 187 ], "end": [ 197 ] } ], "token_spans": [ { "start": [ 31 ], "end": [ 32 ] } ] }
[ "August 2003" ]
NaturalQuestionsShort
<P> `` That Thing You Do '' is a 1996 song that appears in the film That Thing You Do ! The song is performed by the fictional 1960s band The Wonders , who are the focus of the film . </P>
{ "tokens": [ "<P>", "``", "That", "Thing", "You", "Do", "''", "is", "a", "1996", "song", "that", "appears", "in", "the", "film", "That", "Thing", "You", "Do", "!", "The", "song", "is", "performed", "by", "the", "fictional", "1960s", "band", "The", "Wonders", ",", "who", "are", "the", "focus", "of", "the", "film", ".", "</P>" ], "offsets": [ 0, 4, 7, 12, 18, 22, 25, 28, 31, 33, 38, 43, 48, 56, 59, 63, 68, 73, 79, 83, 86, 88, 92, 97, 100, 110, 113, 117, 127, 133, 138, 142, 150, 152, 156, 160, 164, 170, 173, 177, 182, 184 ] }
991110c5ee21481a803416a09f71ca62
who sang the song that thing you do
{ "tokens": [ "who", "sang", "the", "song", "that", "thing", "you", "do" ], "offsets": [ 0, 4, 9, 13, 18, 23, 29, 33 ] }
{ "text": [ "The Wonders" ], "char_spans": [ { "start": [ 138 ], "end": [ 148 ] } ], "token_spans": [ { "start": [ 30 ], "end": [ 31 ] } ] }
[ "The Wonders" ]
NaturalQuestionsShort
<P> The mutiny on the Royal Navy vessel HMS Bounty occurred in the south Pacific on 28 April 1789 . Led by Acting Lieutenant Fletcher Christian , disaffected crewmen seized control of the ship from their captain , Lieutenant William Bligh , and set him and 18 loyalists adrift in the ship 's open launch . The mutineers variously settled on Tahiti or on Pitcairn Island . Bligh meanwhile completed a voyage of more than 3,500 nautical miles ( 6,500 km ; 4,000 mi ) in the launch to reach safety , and began the process of bringing the mutineers to justice . </P>
{ "tokens": [ "<P>", "The", "mutiny", "on", "the", "Royal", "Navy", "vessel", "HMS", "Bounty", "occurred", "in", "the", "south", "Pacific", "on", "28", "April", "1789", ".", "Led", "by", "Acting", "Lieutenant", "Fletcher", "Christian", ",", "disaffected", "crewmen", "seized", "control", "of", "the", "ship", "from", "their", "captain", ",", "Lieutenant", "William", "Bligh", ",", "and", "set", "him", "and", "18", "loyalists", "adrift", "in", "the", "ship", "'s", "open", "launch", ".", "The", "mutineers", "variously", "settled", "on", "Tahiti", "or", "on", "Pitcairn", "Island", ".", "Bligh", "meanwhile", "completed", "a", "voyage", "of", "more", "than", "3,500", "nautical", "miles", "(", "6,500", "km", ";", "4,000", "mi", ")", "in", "the", "launch", "to", "reach", "safety", ",", "and", "began", "the", "process", "of", "bringing", "the", "mutineers", "to", "justice", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 18, 22, 28, 33, 40, 44, 51, 60, 63, 67, 73, 81, 84, 87, 93, 98, 100, 104, 107, 114, 125, 134, 144, 146, 158, 166, 173, 181, 184, 188, 193, 198, 204, 212, 214, 225, 233, 239, 241, 245, 249, 253, 257, 260, 270, 277, 280, 284, 289, 292, 297, 304, 306, 310, 320, 330, 338, 341, 348, 351, 354, 363, 370, 372, 378, 388, 398, 400, 407, 410, 415, 420, 426, 435, 441, 443, 449, 452, 454, 460, 463, 465, 468, 472, 479, 482, 488, 495, 497, 501, 507, 511, 519, 522, 531, 535, 545, 548, 556, 558 ] }
d452bd666bc64f37adb20b1474539a50
where did the mutiny on the bounty take place
{ "tokens": [ "where", "did", "the", "mutiny", "on", "the", "bounty", "take", "place" ], "offsets": [ 0, 6, 10, 14, 21, 24, 28, 35, 40 ] }
{ "text": [ "in the south Pacific" ], "char_spans": [ { "start": [ 60 ], "end": [ 79 ] } ], "token_spans": [ { "start": [ 11 ], "end": [ 14 ] } ] }
[ "in the south Pacific" ]
NaturalQuestionsShort
<P> The series premiered on June 8 , 2010 on Freeform , formerly known as ABC Family , and ended on June 27 , 2017 . After an initial order of 10 episodes , ABC Family ordered an additional 12 episodes on June 28 , 2010 . The ratings success of the first 10 episodes prompted the book series to be extended beyond the initial eight novels . Since its debut , the series has received mixed reviews from television critics , but remained a relative success for Freeform , garnering a large fandom , primarily on social media . </P>
{ "tokens": [ "<P>", "The", "series", "premiered", "on", "June", "8", ",", "2010", "on", "Freeform", ",", "formerly", "known", "as", "ABC", "Family", ",", "and", "ended", "on", "June", "27", ",", "2017", ".", "After", "an", "initial", "order", "of", "10", "episodes", ",", "ABC", "Family", "ordered", "an", "additional", "12", "episodes", "on", "June", "28", ",", "2010", ".", "The", "ratings", "success", "of", "the", "first", "10", "episodes", "prompted", "the", "book", "series", "to", "be", "extended", "beyond", "the", "initial", "eight", "novels", ".", "Since", "its", "debut", ",", "the", "series", "has", "received", "mixed", "reviews", "from", "television", "critics", ",", "but", "remained", "a", "relative", "success", "for", "Freeform", ",", "garnering", "a", "large", "fandom", ",", "primarily", "on", "social", "media", ".", "</P>" ], "offsets": [ 0, 4, 8, 15, 25, 28, 33, 35, 37, 42, 45, 54, 56, 65, 71, 74, 78, 85, 87, 91, 97, 100, 105, 108, 110, 115, 117, 123, 126, 134, 140, 143, 146, 155, 157, 161, 168, 176, 179, 190, 193, 202, 205, 210, 213, 215, 220, 222, 226, 234, 242, 245, 249, 255, 258, 267, 276, 280, 285, 292, 295, 298, 307, 314, 318, 326, 332, 339, 341, 347, 351, 357, 359, 363, 370, 374, 383, 389, 397, 402, 413, 421, 423, 427, 436, 438, 447, 455, 459, 468, 470, 480, 482, 488, 495, 497, 507, 510, 517, 523, 525 ] }
9af91dde74474c6f95b129ce9be8562d
when did pretty little liars first come out
{ "tokens": [ "when", "did", "pretty", "little", "liars", "first", "come", "out" ], "offsets": [ 0, 5, 9, 16, 23, 29, 35, 40 ] }
{ "text": [ "June 8 , 2010" ], "char_spans": [ { "start": [ 28 ], "end": [ 40 ] } ], "token_spans": [ { "start": [ 5 ], "end": [ 8 ] } ] }
[ "June 8 , 2010" ]
NaturalQuestionsShort
<P> It ai n't over till ( or until ) the fat lady sings is a colloquialism which is often used as a proverb . It means that one should not presume to know the outcome of an event which is still in progress . More specifically , the phrase is used when a situation is ( or appears to be ) nearing its conclusion . It cautions against assuming that the current state of an event is irreversible and clearly determines how or when the event will end . The phrase is most commonly used in association with organized competitions , particularly sports . </P>
{ "tokens": [ "<P>", "It", "ai", "n't", "over", "till", "(", "or", "until", ")", "the", "fat", "lady", "sings", "is", "a", "colloquialism", "which", "is", "often", "used", "as", "a", "proverb", ".", "It", "means", "that", "one", "should", "not", "presume", "to", "know", "the", "outcome", "of", "an", "event", "which", "is", "still", "in", "progress", ".", "More", "specifically", ",", "the", "phrase", "is", "used", "when", "a", "situation", "is", "(", "or", "appears", "to", "be", ")", "nearing", "its", "conclusion", ".", "It", "cautions", "against", "assuming", "that", "the", "current", "state", "of", "an", "event", "is", "irreversible", "and", "clearly", "determines", "how", "or", "when", "the", "event", "will", "end", ".", "The", "phrase", "is", "most", "commonly", "used", "in", "association", "with", "organized", "competitions", ",", "particularly", "sports", ".", "</P>" ], "offsets": [ 0, 4, 7, 10, 14, 19, 24, 26, 29, 35, 37, 41, 45, 50, 56, 59, 61, 75, 81, 84, 90, 95, 98, 100, 108, 110, 113, 119, 124, 128, 135, 139, 147, 150, 155, 159, 167, 170, 173, 179, 185, 188, 194, 197, 206, 208, 213, 226, 228, 232, 239, 242, 247, 252, 254, 264, 267, 269, 272, 280, 283, 286, 288, 296, 300, 311, 313, 316, 325, 333, 342, 347, 351, 359, 365, 368, 371, 377, 380, 393, 397, 405, 416, 420, 423, 428, 432, 438, 443, 447, 449, 453, 460, 463, 468, 477, 482, 485, 497, 502, 512, 525, 527, 540, 547, 549 ] }
571c58ae17b64ecba23cc2f57c45cc03
what does the saying it 's not over till the fat lady sings mean
{ "tokens": [ "what", "does", "the", "saying", "it", "'s", "not", "over", "till", "the", "fat", "lady", "sings", "mean" ], "offsets": [ 0, 5, 10, 14, 21, 24, 27, 31, 36, 41, 45, 49, 54, 60 ] }
{ "text": [ "that one should not presume to know the outcome of an event which is still in progress ." ], "char_spans": [ { "start": [ 119 ], "end": [ 206 ] } ], "token_spans": [ { "start": [ 27 ], "end": [ 44 ] } ] }
[ "that one should not presume to know the outcome of an event which is still in progress ." ]
NaturalQuestionsShort
<Li> Larenz Tate -- Kevin `` O - Dog '' Anderson </Li>
{ "tokens": [ "<Li>", "Larenz", "Tate", "--", "Kevin", "``", "O", "-", "Dog", "''", "Anderson", "</Li>" ], "offsets": [ 0, 5, 12, 17, 20, 26, 29, 31, 33, 37, 40, 49 ] }
7e4c2fad6d444409aaf54dcbcde6673d
who played old dog in menace to society
{ "tokens": [ "who", "played", "old", "dog", "in", "menace", "to", "society" ], "offsets": [ 0, 4, 11, 15, 19, 22, 29, 32 ] }
{ "text": [ "Larenz Tate" ], "char_spans": [ { "start": [ 5 ], "end": [ 15 ] } ], "token_spans": [ { "start": [ 1 ], "end": [ 2 ] } ] }
[ "Larenz Tate" ]
NaturalQuestionsShort
<Table> <Tr> <Th colspan="2"> Season </Th> <Th colspan="2"> Episodes </Th> <Th colspan="2"> Originally aired </Th> <Th colspan="2"> Nielsen ratings </Th> </Tr> <Tr> <Th> First aired </Th> <Th> Last aired </Th> <Th> Rank </Th> <Th> Viewers ( in millions ) </Th> </Tr> <Tr> <Td> </Td> <Td colspan="1"> </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 24 , 2010 ( 2010 - 09 - 24 ) </Td> <Td> May 13 , 2011 ( 2011 - 05 - 13 ) </Td> <Td> 19 </Td> <Td> 12.58 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 23 , 2011 ( 2011 - 09 - 23 ) </Td> <Td> May 11 , 2012 ( 2012 - 05 - 11 ) </Td> <Td> 22 </Td> <Td> 12.16 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> </Td> <Td colspan="2"> 23 </Td> <Td colspan="1"> September 28 , 2012 ( 2012 - 09 - 28 ) </Td> <Td> May 10 , 2013 ( 2013 - 05 - 10 ) </Td> <Td> 14 </Td> <Td> 13.17 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 27 , 2013 ( 2013 - 09 - 27 ) </Td> <Td> May 9 , 2014 ( 2014 - 05 - 09 ) </Td> <Td> 10 </Td> <Td> 13.63 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> 5 </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 26 , 2014 ( 2014 - 09 - 26 ) </Td> <Td> May 1 , 2015 ( 2015 - 05 - 01 ) </Td> <Td> 13 </Td> <Td> 13.77 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> 6 </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 25 , 2015 ( 2015 - 09 - 25 ) </Td> <Td> May 6 , 2016 ( 2016 - 05 - 06 ) </Td> <Td> 10 </Td> <Td> 13.07 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> 7 </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 23 , 2016 ( 2016 - 09 - 23 ) </Td> <Td> May 5 , 2017 ( 2017 - 05 - 05 ) </Td> <Td> 8 </Td> <Td> 14.07 </Td> </Tr> <Tr> <Td> </Td> <Td colspan="1"> 8 </Td> <Td colspan="2"> 22 </Td> <Td colspan="1"> September 29 , 2017 ( 2017 - 09 - 29 ) </Td> <Td> TBA </Td> <Td> TBA </Td> <Td> TBA </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th", "colspan=\"2\">", "Season", "</Th>", "<Th", "colspan=\"2\">", "Episodes", "</Th>", "<Th", "colspan=\"2\">", "Originally", "aired", "</Th>", "<Th", "colspan=\"2\">", "Nielsen", "ratings", "</Th>", "</Tr>", "<Tr>", "<Th>", "First", "aired", "</Th>", "<Th>", "Last", "aired", "</Th>", "<Th>", "Rank", "</Th>", "<Th>", "Viewers", "(", "in", "millions", ")", "</Th>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "24", ",", "2010", "(", "2010", "-", "09", "-", "24", ")", "</Td>", "<Td>", "May", "13", ",", "2011", "(", "2011", "-", "05", "-", "13", ")", "</Td>", "<Td>", "19", "</Td>", "<Td>", "12.58", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "23", ",", "2011", "(", "2011", "-", "09", "-", "23", ")", "</Td>", "<Td>", "May", "11", ",", "2012", "(", "2012", "-", "05", "-", "11", ")", "</Td>", "<Td>", "22", "</Td>", "<Td>", "12.16", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "</Td>", "<Td", "colspan=\"2\">", "23", "</Td>", "<Td", "colspan=\"1\">", "September", "28", ",", "2012", "(", "2012", "-", "09", "-", "28", ")", "</Td>", "<Td>", "May", "10", ",", "2013", "(", "2013", "-", "05", "-", "10", ")", "</Td>", "<Td>", "14", "</Td>", "<Td>", "13.17", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "27", ",", "2013", "(", "2013", "-", "09", "-", "27", ")", "</Td>", "<Td>", "May", "9", ",", "2014", "(", "2014", "-", "05", "-", "09", ")", "</Td>", "<Td>", "10", "</Td>", "<Td>", "13.63", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "5", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "26", ",", "2014", "(", "2014", "-", "09", "-", "26", ")", "</Td>", "<Td>", "May", "1", ",", "2015", "(", "2015", "-", "05", "-", "01", ")", "</Td>", "<Td>", "13", "</Td>", "<Td>", "13.77", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "6", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "25", ",", "2015", "(", "2015", "-", "09", "-", "25", ")", "</Td>", "<Td>", "May", "6", ",", "2016", "(", "2016", "-", "05", "-", "06", ")", "</Td>", "<Td>", "10", "</Td>", "<Td>", "13.07", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "7", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "23", ",", "2016", "(", "2016", "-", "09", "-", "23", ")", "</Td>", "<Td>", "May", "5", ",", "2017", "(", "2017", "-", "05", "-", "05", ")", "</Td>", "<Td>", "8", "</Td>", "<Td>", "14.07", "</Td>", "</Tr>", "<Tr>", "<Td>", "</Td>", "<Td", "colspan=\"1\">", "8", "</Td>", "<Td", "colspan=\"2\">", "22", "</Td>", "<Td", "colspan=\"1\">", "September", "29", ",", "2017", "(", "2017", "-", "09", "-", "29", ")", "</Td>", "<Td>", "TBA", "</Td>", "<Td>", "TBA", "</Td>", "<Td>", "TBA", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 17, 30, 37, 43, 47, 60, 69, 75, 79, 92, 103, 109, 115, 119, 132, 140, 148, 154, 160, 165, 170, 176, 182, 188, 193, 198, 204, 210, 215, 220, 226, 231, 239, 241, 244, 253, 255, 261, 267, 272, 277, 283, 287, 300, 306, 310, 323, 326, 332, 336, 349, 359, 362, 364, 369, 371, 376, 378, 381, 383, 386, 388, 394, 399, 403, 406, 408, 413, 415, 420, 422, 425, 427, 430, 432, 438, 443, 446, 452, 457, 463, 469, 475, 480, 485, 491, 495, 508, 514, 518, 531, 534, 540, 544, 557, 567, 570, 572, 577, 579, 584, 586, 589, 591, 594, 596, 602, 607, 611, 614, 616, 621, 623, 628, 630, 633, 635, 638, 640, 646, 651, 654, 660, 665, 671, 677, 683, 688, 693, 699, 703, 716, 722, 726, 739, 742, 748, 752, 765, 775, 778, 780, 785, 787, 792, 794, 797, 799, 802, 804, 810, 815, 819, 822, 824, 829, 831, 836, 838, 841, 843, 846, 848, 854, 859, 862, 868, 873, 879, 885, 891, 896, 901, 907, 911, 924, 930, 934, 947, 950, 956, 960, 973, 983, 986, 988, 993, 995, 1000, 1002, 1005, 1007, 1010, 1012, 1018, 1023, 1027, 1029, 1031, 1036, 1038, 1043, 1045, 1048, 1050, 1053, 1055, 1061, 1066, 1069, 1075, 1080, 1086, 1092, 1098, 1103, 1108, 1114, 1118, 1131, 1133, 1139, 1143, 1156, 1159, 1165, 1169, 1182, 1192, 1195, 1197, 1202, 1204, 1209, 1211, 1214, 1216, 1219, 1221, 1227, 1232, 1236, 1238, 1240, 1245, 1247, 1252, 1254, 1257, 1259, 1262, 1264, 1270, 1275, 1278, 1284, 1289, 1295, 1301, 1307, 1312, 1317, 1323, 1327, 1340, 1342, 1348, 1352, 1365, 1368, 1374, 1378, 1391, 1401, 1404, 1406, 1411, 1413, 1418, 1420, 1423, 1425, 1428, 1430, 1436, 1441, 1445, 1447, 1449, 1454, 1456, 1461, 1463, 1466, 1468, 1471, 1473, 1479, 1484, 1487, 1493, 1498, 1504, 1510, 1516, 1521, 1526, 1532, 1536, 1549, 1551, 1557, 1561, 1574, 1577, 1583, 1587, 1600, 1610, 1613, 1615, 1620, 1622, 1627, 1629, 1632, 1634, 1637, 1639, 1645, 1650, 1654, 1656, 1658, 1663, 1665, 1670, 1672, 1675, 1677, 1680, 1682, 1688, 1693, 1695, 1701, 1706, 1712, 1718, 1724, 1729, 1734, 1740, 1744, 1757, 1759, 1765, 1769, 1782, 1785, 1791, 1795, 1808, 1818, 1821, 1823, 1828, 1830, 1835, 1837, 1840, 1842, 1845, 1847, 1853, 1858, 1862, 1868, 1873, 1877, 1883, 1888, 1892, 1898, 1904 ] }
1a2b487a8dba401f9d56ad9398597fc7
when does new episode of blue bloods start
{ "tokens": [ "when", "does", "new", "episode", "of", "blue", "bloods", "start" ], "offsets": [ 0, 5, 10, 14, 22, 25, 30, 37 ] }
{ "text": [ "September 29 , 2017" ], "char_spans": [ { "start": [ 1808 ], "end": [ 1826 ] } ], "token_spans": [ { "start": [ 365 ], "end": [ 368 ] } ] }
[ "September 29 , 2017" ]
NaturalQuestionsShort
<P> Traditionally associated with the progressive movement , the club was one of the first large - scale environmental preservation organizations in the world , and currently engages in lobbying politicians to promote environmentalist policies . Recent focuses of the club include promoting sustainable energy , mitigating global warming , and opposing the use of coal . The club is known for its political endorsements , which are often sought after by candidates in local elections ; it generally supports liberal and progressive candidates in elections . </P>
{ "tokens": [ "<P>", "Traditionally", "associated", "with", "the", "progressive", "movement", ",", "the", "club", "was", "one", "of", "the", "first", "large", "-", "scale", "environmental", "preservation", "organizations", "in", "the", "world", ",", "and", "currently", "engages", "in", "lobbying", "politicians", "to", "promote", "environmentalist", "policies", ".", "Recent", "focuses", "of", "the", "club", "include", "promoting", "sustainable", "energy", ",", "mitigating", "global", "warming", ",", "and", "opposing", "the", "use", "of", "coal", ".", "The", "club", "is", "known", "for", "its", "political", "endorsements", ",", "which", "are", "often", "sought", "after", "by", "candidates", "in", "local", "elections", ";", "it", "generally", "supports", "liberal", "and", "progressive", "candidates", "in", "elections", ".", "</P>" ], "offsets": [ 0, 4, 18, 29, 34, 38, 50, 59, 61, 65, 70, 74, 78, 81, 85, 91, 97, 99, 105, 119, 132, 146, 149, 153, 159, 161, 165, 175, 183, 186, 195, 207, 210, 218, 235, 244, 246, 253, 261, 264, 268, 273, 281, 291, 303, 310, 312, 323, 330, 338, 340, 344, 353, 357, 361, 364, 369, 371, 375, 380, 383, 389, 393, 397, 407, 420, 422, 428, 432, 438, 445, 451, 454, 465, 468, 474, 484, 486, 489, 499, 508, 516, 520, 532, 543, 546, 556, 558 ] }
0aebf55d36534bd28fd6c1997ca526e8
what is the purpose of the sierra club
{ "tokens": [ "what", "is", "the", "purpose", "of", "the", "sierra", "club" ], "offsets": [ 0, 5, 8, 12, 20, 23, 27, 34 ] }
{ "text": [ "promote environmentalist policies" ], "char_spans": [ { "start": [ 210 ], "end": [ 242 ] } ], "token_spans": [ { "start": [ 32 ], "end": [ 34 ] } ] }
[ "promote environmentalist policies" ]
NaturalQuestionsShort
<P> In June 2016 , researchers from Queensland 's Department of Environment and Heritage Protection and the University of Queensland jointly reported that the species had indeed become extinct , adding : `` Significantly , this probably represents the first recorded mammalian extinction due to anthropogenic climate change '' . However , writing in Australian Geographic , Lauren Smith noted , `` The authors of the report do note that there is a slight chance that there 's an as - yet - unknown population of the species in Papua New Guinea around the Fly River delta area , and that until that area is adequately surveyed , the Bramble Cay melomys should have the tag ' Possibly Extinct ' added to the IUCN Red listing . '' </P>
{ "tokens": [ "<P>", "In", "June", "2016", ",", "researchers", "from", "Queensland", "'s", "Department", "of", "Environment", "and", "Heritage", "Protection", "and", "the", "University", "of", "Queensland", "jointly", "reported", "that", "the", "species", "had", "indeed", "become", "extinct", ",", "adding", ":", "``", "Significantly", ",", "this", "probably", "represents", "the", "first", "recorded", "mammalian", "extinction", "due", "to", "anthropogenic", "climate", "change", "''", ".", "However", ",", "writing", "in", "Australian", "Geographic", ",", "Lauren", "Smith", "noted", ",", "``", "The", "authors", "of", "the", "report", "do", "note", "that", "there", "is", "a", "slight", "chance", "that", "there", "'s", "an", "as", "-", "yet", "-", "unknown", "population", "of", "the", "species", "in", "Papua", "New", "Guinea", "around", "the", "Fly", "River", "delta", "area", ",", "and", "that", "until", "that", "area", "is", "adequately", "surveyed", ",", "the", "Bramble", "Cay", "melomys", "should", "have", "the", "tag", "'", "Possibly", "Extinct", "'", "added", "to", "the", "IUCN", "Red", "listing", ".", "''", "</P>" ], "offsets": [ 0, 4, 7, 12, 17, 19, 31, 36, 47, 50, 61, 64, 76, 80, 89, 100, 104, 108, 119, 122, 133, 141, 150, 155, 159, 167, 171, 178, 185, 193, 195, 202, 204, 207, 221, 223, 228, 237, 248, 252, 258, 267, 277, 288, 292, 295, 309, 317, 324, 327, 329, 337, 339, 347, 350, 361, 372, 374, 381, 387, 393, 395, 398, 402, 410, 413, 417, 424, 427, 432, 437, 443, 446, 448, 455, 462, 467, 473, 476, 479, 482, 484, 488, 490, 498, 509, 512, 516, 524, 527, 533, 537, 544, 551, 555, 559, 565, 571, 576, 578, 582, 587, 593, 598, 603, 606, 617, 626, 628, 632, 640, 644, 652, 659, 664, 668, 672, 674, 683, 691, 693, 699, 702, 706, 711, 715, 723, 725, 728 ] }
392876913401431e8ae9f91368c51f62
when did the bramble cay melomys go extinct
{ "tokens": [ "when", "did", "the", "bramble", "cay", "melomys", "go", "extinct" ], "offsets": [ 0, 5, 9, 13, 21, 25, 33, 36 ] }
{ "text": [ "2016" ], "char_spans": [ { "start": [ 12 ], "end": [ 15 ] } ], "token_spans": [ { "start": [ 3 ], "end": [ 3 ] } ] }
[ "2016" ]
NaturalQuestionsShort
<P> `` Spirit in the Sky '' is a song written and originally recorded by Norman Greenbaum and released in late 1969 . The single became a gold record , selling two million copies from 1969 to 1970 and reached number three on the US Billboard Hot 100 chart ( April 18 , 1970 ) , where it lasted for 15 weeks in the Top 100 . Billboard ranked the record the No. 22 song of 1970 . It also climbed to number one on the UK , Australian and Canadian charts in 1970 . Rolling Stone ranked `` Spirit in the Sky '' No. 333 on its list of the 500 Greatest Songs of All Time . The song was featured on the 1969 album of the same name . Cover versions by Doctor and the Medics and Gareth Gates have also made the number 1 spot in the UK . </P>
{ "tokens": [ "<P>", "``", "Spirit", "in", "the", "Sky", "''", "is", "a", "song", "written", "and", "originally", "recorded", "by", "Norman", "Greenbaum", "and", "released", "in", "late", "1969", ".", "The", "single", "became", "a", "gold", "record", ",", "selling", "two", "million", "copies", "from", "1969", "to", "1970", "and", "reached", "number", "three", "on", "the", "US", "Billboard", "Hot", "100", "chart", "(", "April", "18", ",", "1970", ")", ",", "where", "it", "lasted", "for", "15", "weeks", "in", "the", "Top", "100", ".", "Billboard", "ranked", "the", "record", "the", "No.", "22", "song", "of", "1970", ".", "It", "also", "climbed", "to", "number", "one", "on", "the", "UK", ",", "Australian", "and", "Canadian", "charts", "in", "1970", ".", "Rolling", "Stone", "ranked", "``", "Spirit", "in", "the", "Sky", "''", "No.", "333", "on", "its", "list", "of", "the", "500", "Greatest", "Songs", "of", "All", "Time", ".", "The", "song", "was", "featured", "on", "the", "1969", "album", "of", "the", "same", "name", ".", "Cover", "versions", "by", "Doctor", "and", "the", "Medics", "and", "Gareth", "Gates", "have", "also", "made", "the", "number", "1", "spot", "in", "the", "UK", ".", "</P>" ], "offsets": [ 0, 4, 7, 14, 17, 21, 25, 28, 31, 33, 38, 46, 50, 61, 70, 73, 80, 90, 94, 103, 106, 111, 116, 118, 122, 129, 136, 138, 143, 150, 152, 160, 164, 172, 179, 184, 189, 192, 197, 201, 209, 216, 222, 225, 229, 232, 242, 246, 250, 256, 258, 264, 267, 269, 274, 276, 278, 284, 287, 294, 298, 301, 307, 310, 314, 318, 322, 324, 334, 341, 345, 352, 356, 360, 363, 368, 371, 376, 378, 381, 386, 394, 397, 404, 408, 411, 415, 418, 420, 431, 435, 444, 451, 454, 459, 461, 469, 475, 482, 485, 492, 495, 499, 503, 506, 510, 514, 517, 521, 526, 529, 533, 537, 546, 552, 555, 559, 564, 566, 570, 575, 579, 588, 591, 595, 600, 606, 609, 613, 618, 623, 625, 631, 640, 643, 650, 654, 658, 665, 669, 676, 682, 687, 692, 697, 701, 708, 710, 715, 718, 722, 725, 727 ] }
6217b3fa0d814eaba44c35ac53964433
when did spirit in the sky come out
{ "tokens": [ "when", "did", "spirit", "in", "the", "sky", "come", "out" ], "offsets": [ 0, 5, 9, 16, 19, 23, 27, 32 ] }
{ "text": [ "late 1969" ], "char_spans": [ { "start": [ 106 ], "end": [ 114 ] } ], "token_spans": [ { "start": [ 20 ], "end": [ 21 ] } ] }
[ "late 1969" ]
NaturalQuestionsShort
<P> Kazimierz Żegleń ( Casimir Zeglen ) - was a Polish engineer , born in 1869 near Tarnopol , ( died not before 1927 ) , who invented the first bulletproof vest . At the age of 18 he entered the Resurrectionist Order in Lwów ( today Lviv , Ukraine ) . In 1890 , he moved to the United States . In 1893 , after the assassination of Carter Harrison , Sr. , the mayor of Chicago , he invented the first commercial bulletproof vest . In 1897 , he improved it together with Jan Szczepanik who was the inventor of the first commercial bulletproof armour in 1901 . It saved the life of Alfonso XIII , the King of Spain - his carriage was covered with Szczepanik 's bulletproof armour when a bomb exploded near it . </P>
{ "tokens": [ "<P>", "Kazimierz", "Żegleń", "(", "Casimir", "Zeglen", ")", "-", "was", "a", "Polish", "engineer", ",", "born", "in", "1869", "near", "Tarnopol", ",", "(", "died", "not", "before", "1927", ")", ",", "who", "invented", "the", "first", "bulletproof", "vest", ".", "At", "the", "age", "of", "18", "he", "entered", "the", "Resurrectionist", "Order", "in", "Lwów", "(", "today", "Lviv", ",", "Ukraine", ")", ".", "In", "1890", ",", "he", "moved", "to", "the", "United", "States", ".", "In", "1893", ",", "after", "the", "assassination", "of", "Carter", "Harrison", ",", "Sr.", ",", "the", "mayor", "of", "Chicago", ",", "he", "invented", "the", "first", "commercial", "bulletproof", "vest", ".", "In", "1897", ",", "he", "improved", "it", "together", "with", "Jan", "Szczepanik", "who", "was", "the", "inventor", "of", "the", "first", "commercial", "bulletproof", "armour", "in", "1901", ".", "It", "saved", "the", "life", "of", "Alfonso", "XIII", ",", "the", "King", "of", "Spain", "-", "his", "carriage", "was", "covered", "with", "Szczepanik", "'s", "bulletproof", "armour", "when", "a", "bomb", "exploded", "near", "it", ".", "</P>" ], "offsets": [ 0, 4, 14, 21, 23, 31, 38, 40, 42, 46, 48, 55, 64, 66, 71, 74, 79, 84, 93, 95, 97, 102, 106, 113, 118, 120, 122, 126, 135, 139, 145, 157, 162, 164, 167, 171, 175, 178, 181, 184, 192, 196, 212, 218, 221, 226, 228, 234, 239, 241, 249, 251, 253, 256, 261, 263, 266, 272, 275, 279, 286, 293, 295, 298, 303, 305, 311, 315, 329, 332, 339, 348, 350, 354, 356, 360, 366, 369, 377, 379, 382, 391, 395, 401, 412, 424, 429, 431, 434, 439, 441, 444, 453, 456, 465, 470, 474, 485, 489, 493, 497, 506, 509, 513, 519, 530, 542, 549, 552, 557, 559, 562, 568, 572, 577, 580, 588, 593, 595, 599, 604, 607, 613, 615, 619, 628, 632, 640, 645, 656, 659, 671, 678, 683, 685, 690, 699, 704, 707, 709 ] }
ba0c1142b38248b497c5897e63d84bea
when was the first bullet proof vest invented
{ "tokens": [ "when", "was", "the", "first", "bullet", "proof", "vest", "invented" ], "offsets": [ 0, 5, 9, 13, 19, 26, 32, 37 ] }
{ "text": [ "1893" ], "char_spans": [ { "start": [ 298 ], "end": [ 301 ] } ], "token_spans": [ { "start": [ 63 ], "end": [ 63 ] } ] }
[ "1893" ]
NaturalQuestionsShort
<P> The concept of American football games being played on Thanksgiving Day dates back to 1876 , shortly after the game had been invented , as it was a day that most people had off from work . In that year , the college football teams at Yale and Princeton began an annual tradition of playing each other on Thanksgiving Day . The University of Michigan also made it a tradition to play annual Thanksgiving games , holding 19 such games from 1885 to 1905 . The Thanksgiving Day games between Michigan and the Chicago Maroons in the 1890s have been cited as `` The Beginning of Thanksgiving Day Football . '' In some areas , high - school teams play on Thanksgiving , usually to wrap - up the regular - season . </P>
{ "tokens": [ "<P>", "The", "concept", "of", "American", "football", "games", "being", "played", "on", "Thanksgiving", "Day", "dates", "back", "to", "1876", ",", "shortly", "after", "the", "game", "had", "been", "invented", ",", "as", "it", "was", "a", "day", "that", "most", "people", "had", "off", "from", "work", ".", "In", "that", "year", ",", "the", "college", "football", "teams", "at", "Yale", "and", "Princeton", "began", "an", "annual", "tradition", "of", "playing", "each", "other", "on", "Thanksgiving", "Day", ".", "The", "University", "of", "Michigan", "also", "made", "it", "a", "tradition", "to", "play", "annual", "Thanksgiving", "games", ",", "holding", "19", "such", "games", "from", "1885", "to", "1905", ".", "The", "Thanksgiving", "Day", "games", "between", "Michigan", "and", "the", "Chicago", "Maroons", "in", "the", "1890s", "have", "been", "cited", "as", "``", "The", "Beginning", "of", "Thanksgiving", "Day", "Football", ".", "''", "In", "some", "areas", ",", "high", "-", "school", "teams", "play", "on", "Thanksgiving", ",", "usually", "to", "wrap", "-", "up", "the", "regular", "-", "season", ".", "</P>" ], "offsets": [ 0, 4, 8, 16, 19, 28, 37, 43, 49, 56, 59, 72, 76, 82, 87, 90, 95, 97, 105, 111, 115, 120, 124, 129, 138, 140, 143, 146, 150, 152, 156, 161, 166, 173, 177, 181, 186, 191, 193, 196, 201, 206, 208, 212, 220, 229, 235, 238, 243, 247, 257, 263, 266, 273, 283, 286, 294, 299, 305, 308, 321, 325, 327, 331, 342, 345, 354, 359, 364, 367, 369, 379, 382, 387, 394, 407, 413, 415, 423, 426, 431, 437, 442, 447, 450, 455, 457, 461, 474, 478, 484, 492, 501, 505, 509, 517, 525, 528, 532, 538, 543, 548, 554, 557, 560, 564, 574, 577, 590, 594, 603, 605, 608, 611, 616, 622, 624, 629, 631, 638, 644, 649, 652, 665, 667, 675, 678, 683, 685, 688, 692, 700, 702, 709, 711 ] }
1e788a195abd4d77ae8be187ed7d0ff1
who played the first thanksgiving day football game
{ "tokens": [ "who", "played", "the", "first", "thanksgiving", "day", "football", "game" ], "offsets": [ 0, 4, 11, 15, 21, 34, 38, 47 ] }
{ "text": [ "Yale and Princeton" ], "char_spans": [ { "start": [ 238 ], "end": [ 255 ] } ], "token_spans": [ { "start": [ 47 ], "end": [ 49 ] } ] }
[ "Yale and Princeton" ]
NaturalQuestionsShort
<P> First unveiled in June 2004 , it is the successor to the Battle Dress Uniform ( BDU ) and Desert Camouflage Uniform ( DCU ) worn from the 1980s and 1990s through the early 2000s , respectively . The ACU and its component materials are manufactured by the existing industrial infrastructure which produced the now - obsolete BDU . Official military - grade ACUs are made of 50 % nylon and 50 % cotton . All other blends are not official issue . </P>
{ "tokens": [ "<P>", "First", "unveiled", "in", "June", "2004", ",", "it", "is", "the", "successor", "to", "the", "Battle", "Dress", "Uniform", "(", "BDU", ")", "and", "Desert", "Camouflage", "Uniform", "(", "DCU", ")", "worn", "from", "the", "1980s", "and", "1990s", "through", "the", "early", "2000s", ",", "respectively", ".", "The", "ACU", "and", "its", "component", "materials", "are", "manufactured", "by", "the", "existing", "industrial", "infrastructure", "which", "produced", "the", "now", "-", "obsolete", "BDU", ".", "Official", "military", "-", "grade", "ACUs", "are", "made", "of", "50", "%", "nylon", "and", "50", "%", "cotton", ".", "All", "other", "blends", "are", "not", "official", "issue", ".", "</P>" ], "offsets": [ 0, 4, 10, 19, 22, 27, 32, 34, 37, 40, 44, 54, 57, 61, 68, 74, 82, 84, 88, 90, 94, 101, 112, 120, 122, 126, 128, 133, 138, 142, 148, 152, 158, 166, 170, 176, 182, 184, 197, 199, 203, 207, 211, 215, 225, 235, 239, 252, 255, 259, 268, 279, 294, 300, 309, 313, 317, 319, 328, 332, 334, 343, 352, 354, 360, 365, 369, 374, 377, 380, 382, 388, 392, 395, 397, 404, 406, 410, 416, 423, 427, 431, 440, 446, 448 ] }
2f54b8c9facd4beeb64b33d11b4d6c30
when did the army change from bdu to acu
{ "tokens": [ "when", "did", "the", "army", "change", "from", "bdu", "to", "acu" ], "offsets": [ 0, 5, 9, 13, 18, 25, 30, 34, 37 ] }
{ "text": [ "June 2004" ], "char_spans": [ { "start": [ 22 ], "end": [ 30 ] } ], "token_spans": [ { "start": [ 4 ], "end": [ 5 ] } ] }
[ "June 2004" ]
NaturalQuestionsShort
<Table> <Tr> <Th> Actor </Th> <Th> Character ( s ) </Th> <Th> No. of Episodes </Th> <Th> Notes </Th> </Tr> <Tr> <Td> Alan , Lori Lori Alan </Td> <Td> Simmons , Diane Diane Simmons </Td> <Td> 63 </Td> <Td> Left the show in season nine when her character was killed off . Was replaced in the series ' context by Christine Lakin 's Joyce Kinney </Td> </Tr> <Tr> <Td> Alazraqui , Carlos Carlos Alazraqui </Td> <Td> Weed , Mr.Mr . Weed </Td> <Td> 10 </Td> <Td> Peter 's first boss , Mr. Weed , was killed off early in the series ' run . </Td> </Tr> <Tr> <Td> Barrymore , Drew Drew Barrymore </Td> <Td> Russell , Jillian Jillian Russell </Td> <Td> 12 </Td> <Td> Played Jillian , Brian 's former girlfriend . The character still appears in background roles </Td> </Tr> <Tr> <Td> Cole , Gary Gary Cole </Td> <Td> Various </Td> <Td> 38 </Td> <Td> Cole appeared frequently in the earlier seasons , but still pops up now and then to play Meg and Chris ' principal , Mr. Shepherd . </Td> </Tr> <Tr> <Td> Hartman , Butch Butch Hartman </Td> <Td> Various </Td> <Td> 8 </Td> <Td> </Td> </Tr> <Tr> <Td> Henry , Mike Mike Henry </Td> <Td> Cleveland Brown , Herbert , Bruce , Consuela , and various others </Td> <Td> </Td> <Td> Was promoted to main cast in 2005 . Also a Family Guy writer . </Td> </Tr> <Tr> <Td> Hentemann , Mark Mark Hentemann </Td> <Td> Opie and various others </Td> <Td> 45 </Td> <Td> Recently left Family Guy to work on another Seth MacFarlane project . Also a Family Guy writer . </Td> </Tr> <Tr> <Td> Fisher , Carrie Carrie Fisher </Td> <Td> Angela </Td> <Td> 19 </Td> <Td> Has recurred as Peter 's boss several times per season since 2005 . Died in 2016 . </Td> </Tr> <Tr> <Td> Strong , Tara Tara Strong </Td> <Td> Various , as well as Meg 's singing voice </Td> <Td> 21 </Td> <Td> Appeared frequently in the first four seasons . Returned briefly in 2010 - 2012 and again for one episode in 2014 . </Td> </Tr> <Tr> <Td> Sullivan , Nicole Nicole Sullivan </Td> <Td> Goldman , Muriel Muriel Goldman </Td> <Td> 27 </Td> <Td> Muriel was killed off in season nine . </Td> </Tr> <Tr> <Td> Whitman , Mae Mae Whitman </Td> <Td> Various </Td> <Td> 10 </Td> <Td> Was a recurring younger female voice for several seasons between 2008 - 2010 . </Td> </Tr> <Tr> <Td> Wild , Wellesley Wellesley Wild </Td> <Td> Various </Td> <Td> 14 </Td> <Td> No longer a recurring voice ( since 2013 ) . He was a producer , but left the show . </Td> </Tr> <Tr> <Td> Wilhoit , Lisa Lisa Wilhoit </Td> <Td> D'Amico , Connie Connie D'Amico </Td> <Td> 22 </Td> <Td> Meg 's friend Beth has n't appeared in the series since 2007 , while Meg 's bully Connie had stopped appearing in the series after 2012 , but eventually resurfaced towards the end of season 15 in early 2017 . Her most recent appearance to date is a cameo early in season 16 during late 2017 . </Td> </Tr> <Tr> <Td> West , Adam Adam West </Td> <Td> Mayor West , Adam Adam West </Td> <Td> 93 </Td> <Td> Played a warped , possibly younger version of himself as the mayor of Quahog . Died in 2017 . </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "<Tr>", "<Th>", "Actor", "</Th>", "<Th>", "Character", "(", "s", ")", "</Th>", "<Th>", "No.", "of", "Episodes", "</Th>", "<Th>", "Notes", "</Th>", "</Tr>", "<Tr>", "<Td>", "Alan", ",", "Lori", "Lori", "Alan", "</Td>", "<Td>", "Simmons", ",", "Diane", "Diane", "Simmons", "</Td>", "<Td>", "63", "</Td>", "<Td>", "Left", "the", "show", "in", "season", "nine", "when", "her", "character", "was", "killed", "off", ".", "Was", "replaced", "in", "the", "series", "'", "context", "by", "Christine", "Lakin", "'s", "Joyce", "Kinney", "</Td>", "</Tr>", "<Tr>", "<Td>", "Alazraqui", ",", "Carlos", "Carlos", "Alazraqui", "</Td>", "<Td>", "Weed", ",", "Mr.Mr", ".", "Weed", "</Td>", "<Td>", "10", "</Td>", "<Td>", "Peter", "'s", "first", "boss", ",", "Mr.", "Weed", ",", "was", "killed", "off", "early", "in", "the", "series", "'", "run", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Barrymore", ",", "Drew", "Drew", "Barrymore", "</Td>", "<Td>", "Russell", ",", "Jillian", "Jillian", "Russell", "</Td>", "<Td>", "12", "</Td>", "<Td>", "Played", "Jillian", ",", "Brian", "'s", "former", "girlfriend", ".", "The", "character", "still", "appears", "in", "background", "roles", "</Td>", "</Tr>", "<Tr>", "<Td>", "Cole", ",", "Gary", "Gary", "Cole", "</Td>", "<Td>", "Various", "</Td>", "<Td>", "38", "</Td>", "<Td>", "Cole", "appeared", "frequently", "in", "the", "earlier", "seasons", ",", "but", "still", "pops", "up", "now", "and", "then", "to", "play", "Meg", "and", "Chris", "'", "principal", ",", "Mr.", "Shepherd", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Hartman", ",", "Butch", "Butch", "Hartman", "</Td>", "<Td>", "Various", "</Td>", "<Td>", "8", "</Td>", "<Td>", "</Td>", "</Tr>", "<Tr>", "<Td>", "Henry", ",", "Mike", "Mike", "Henry", "</Td>", "<Td>", "Cleveland", "Brown", ",", "Herbert", ",", "Bruce", ",", "Consuela", ",", "and", "various", "others", "</Td>", "<Td>", "</Td>", "<Td>", "Was", "promoted", "to", "main", "cast", "in", "2005", ".", "Also", "a", "Family", "Guy", "writer", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Hentemann", ",", "Mark", "Mark", "Hentemann", "</Td>", "<Td>", "Opie", "and", "various", "others", "</Td>", "<Td>", "45", "</Td>", "<Td>", "Recently", "left", "Family", "Guy", "to", "work", "on", "another", "Seth", "MacFarlane", "project", ".", "Also", "a", "Family", "Guy", "writer", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Fisher", ",", "Carrie", "Carrie", "Fisher", "</Td>", "<Td>", "Angela", "</Td>", "<Td>", "19", "</Td>", "<Td>", "Has", "recurred", "as", "Peter", "'s", "boss", "several", "times", "per", "season", "since", "2005", ".", "Died", "in", "2016", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Strong", ",", "Tara", "Tara", "Strong", "</Td>", "<Td>", "Various", ",", "as", "well", "as", "Meg", "'s", "singing", "voice", "</Td>", "<Td>", "21", "</Td>", "<Td>", "Appeared", "frequently", "in", "the", "first", "four", "seasons", ".", "Returned", "briefly", "in", "2010", "-", "2012", "and", "again", "for", "one", "episode", "in", "2014", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Sullivan", ",", "Nicole", "Nicole", "Sullivan", "</Td>", "<Td>", "Goldman", ",", "Muriel", "Muriel", "Goldman", "</Td>", "<Td>", "27", "</Td>", "<Td>", "Muriel", "was", "killed", "off", "in", "season", "nine", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Whitman", ",", "Mae", "Mae", "Whitman", "</Td>", "<Td>", "Various", "</Td>", "<Td>", "10", "</Td>", "<Td>", "Was", "a", "recurring", "younger", "female", "voice", "for", "several", "seasons", "between", "2008", "-", "2010", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Wild", ",", "Wellesley", "Wellesley", "Wild", "</Td>", "<Td>", "Various", "</Td>", "<Td>", "14", "</Td>", "<Td>", "No", "longer", "a", "recurring", "voice", "(", "since", "2013", ")", ".", "He", "was", "a", "producer", ",", "but", "left", "the", "show", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "Wilhoit", ",", "Lisa", "Lisa", "Wilhoit", "</Td>", "<Td>", "D'Amico", ",", "Connie", "Connie", "D'Amico", "</Td>", "<Td>", "22", "</Td>", "<Td>", "Meg", "'s", "friend", "Beth", "has", "n't", "appeared", "in", "the", "series", "since", "2007", ",", "while", "Meg", "'s", "bully", "Connie", "had", "stopped", "appearing", "in", "the", "series", "after", "2012", ",", "but", "eventually", "resurfaced", "towards", "the", "end", "of", "season", "15", "in", "early", "2017", ".", "Her", "most", "recent", "appearance", "to", "date", "is", "a", "cameo", "early", "in", "season", "16", "during", "late", "2017", ".", "</Td>", "</Tr>", "<Tr>", "<Td>", "West", ",", "Adam", "Adam", "West", "</Td>", "<Td>", "Mayor", "West", ",", "Adam", "Adam", "West", "</Td>", "<Td>", "93", "</Td>", "<Td>", "Played", "a", "warped", ",", "possibly", "younger", "version", "of", "himself", "as", "the", "mayor", "of", "Quahog", ".", "Died", "in", "2017", ".", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 13, 18, 24, 30, 35, 45, 47, 49, 51, 57, 62, 66, 69, 78, 84, 89, 95, 101, 107, 112, 117, 122, 124, 129, 134, 139, 145, 150, 158, 160, 166, 172, 180, 186, 191, 194, 200, 205, 210, 214, 219, 222, 229, 234, 239, 243, 253, 257, 264, 268, 270, 274, 283, 286, 290, 297, 299, 307, 310, 320, 326, 329, 335, 342, 348, 354, 359, 364, 374, 376, 383, 390, 400, 406, 411, 416, 418, 424, 426, 431, 437, 442, 445, 451, 456, 462, 465, 471, 476, 478, 482, 487, 489, 493, 500, 504, 510, 513, 517, 524, 526, 530, 532, 538, 544, 549, 554, 564, 566, 571, 576, 586, 592, 597, 605, 607, 615, 623, 631, 637, 642, 645, 651, 656, 663, 671, 673, 679, 682, 689, 700, 702, 706, 716, 722, 730, 733, 744, 750, 756, 762, 767, 772, 777, 779, 784, 789, 794, 800, 805, 813, 819, 824, 827, 833, 838, 843, 852, 863, 866, 870, 878, 886, 888, 892, 898, 903, 906, 910, 914, 919, 922, 927, 931, 935, 941, 943, 953, 955, 959, 968, 970, 976, 982, 987, 992, 1000, 1002, 1008, 1014, 1022, 1028, 1033, 1041, 1047, 1052, 1054, 1060, 1065, 1071, 1077, 1082, 1087, 1093, 1095, 1100, 1105, 1111, 1117, 1122, 1132, 1138, 1140, 1148, 1150, 1156, 1158, 1167, 1169, 1173, 1181, 1188, 1194, 1199, 1205, 1210, 1214, 1223, 1226, 1231, 1236, 1239, 1244, 1246, 1251, 1253, 1260, 1264, 1271, 1273, 1279, 1285, 1290, 1295, 1305, 1307, 1312, 1317, 1327, 1333, 1338, 1343, 1347, 1355, 1362, 1368, 1373, 1376, 1382, 1387, 1396, 1401, 1408, 1412, 1415, 1420, 1423, 1431, 1436, 1447, 1455, 1457, 1462, 1464, 1471, 1475, 1482, 1484, 1490, 1496, 1501, 1506, 1513, 1515, 1522, 1529, 1536, 1542, 1547, 1554, 1560, 1565, 1568, 1574, 1579, 1583, 1592, 1595, 1601, 1604, 1609, 1617, 1623, 1627, 1634, 1640, 1645, 1647, 1652, 1655, 1660, 1662, 1668, 1674, 1679, 1684, 1691, 1693, 1698, 1703, 1710, 1716, 1721, 1729, 1731, 1734, 1739, 1742, 1746, 1749, 1757, 1763, 1769, 1774, 1777, 1783, 1788, 1797, 1808, 1811, 1815, 1821, 1826, 1834, 1836, 1845, 1853, 1856, 1861, 1863, 1868, 1872, 1878, 1882, 1886, 1894, 1897, 1902, 1904, 1910, 1916, 1921, 1926, 1935, 1937, 1944, 1951, 1960, 1966, 1971, 1979, 1981, 1988, 1995, 2003, 2009, 2014, 2017, 2023, 2028, 2035, 2039, 2046, 2050, 2053, 2060, 2065, 2067, 2073, 2079, 2084, 2089, 2097, 2099, 2103, 2107, 2115, 2121, 2126, 2134, 2140, 2145, 2148, 2154, 2159, 2163, 2165, 2175, 2183, 2190, 2196, 2200, 2208, 2216, 2224, 2229, 2231, 2236, 2238, 2244, 2250, 2255, 2260, 2265, 2267, 2277, 2287, 2292, 2298, 2303, 2311, 2317, 2322, 2325, 2331, 2336, 2339, 2346, 2348, 2358, 2364, 2366, 2372, 2377, 2379, 2381, 2384, 2388, 2390, 2399, 2401, 2405, 2410, 2414, 2419, 2421, 2427, 2433, 2438, 2443, 2451, 2453, 2458, 2463, 2471, 2477, 2482, 2490, 2492, 2499, 2506, 2514, 2520, 2525, 2528, 2534, 2539, 2543, 2546, 2553, 2558, 2562, 2566, 2575, 2578, 2582, 2589, 2595, 2600, 2602, 2608, 2612, 2615, 2621, 2628, 2632, 2640, 2650, 2653, 2657, 2664, 2670, 2675, 2677, 2681, 2692, 2703, 2711, 2715, 2719, 2722, 2729, 2732, 2735, 2741, 2746, 2748, 2752, 2757, 2764, 2775, 2778, 2783, 2786, 2788, 2794, 2800, 2803, 2810, 2813, 2820, 2825, 2830, 2832, 2838, 2844, 2849, 2854, 2859, 2861, 2866, 2871, 2876, 2882, 2887, 2893, 2898, 2900, 2905, 2910, 2915, 2921, 2926, 2929, 2935, 2940, 2947, 2949, 2956, 2958, 2967, 2975, 2983, 2986, 2994, 2997, 3001, 3007, 3010, 3017, 3019, 3024, 3027, 3032, 3034, 3040, 3046 ] }
ac6284eb466d44cab216664ff28997fc
who does the voice of angela on family guy
{ "tokens": [ "who", "does", "the", "voice", "of", "angela", "on", "family", "guy" ], "offsets": [ 0, 4, 9, 13, 19, 22, 29, 32, 39 ] }
{ "text": [ "Carrie Fisher" ], "char_spans": [ { "start": [ 1522 ], "end": [ 1534 ] } ], "token_spans": [ { "start": [ 286 ], "end": [ 287 ] } ] }
[ "Carrie Fisher" ]
NaturalQuestionsShort
<Table> Floyd Little <Tr> <Td colspan="2"> At his NFL Hall of Fame ceremony in 2010 . </Td> </Tr> <Tr> <Th colspan="2"> No. 44 </Th> </Tr> <Tr> <Th> Position : </Th> <Td> Halfback </Td> </Tr> <Tr> <Th colspan="2"> </Th> </Tr> <Tr> <Th> Born : </Th> <Td> ( 1942 - 07 - 04 ) July 4 , 1942 ( age 75 ) New Haven , Connecticut </Td> </Tr> <Tr> <Th> Height : </Th> <Td> 5 ft 10 in ( 1.78 m ) </Td> </Tr> <Tr> <Th> Weight : </Th> <Td> 196 lb ( 89 kg ) </Td> </Tr> <Tr> <Th colspan="2"> Career information </Th> </Tr> <Tr> <Th> High school : </Th> <Td> New Haven ( CT ) Hillhouse </Td> </Tr> <Tr> <Th> College : </Th> <Td> Syracuse </Td> </Tr> <Tr> <Th> NFL Draft : </Th> <Td> 1967 / Round : 1 / Pick : 6 </Td> </Tr> <Tr> <Th colspan="2"> Career history </Th> </Tr> <Tr> <Td colspan="2"> <Ul> <Li> Denver Broncos ( 1967 -- 1975 ) </Li> </Ul> </Td> </Tr> <Tr> <Th colspan="2"> </Th> </Tr> <Tr> <Th colspan="2"> Career highlights and awards </Th> </Tr> <Tr> <Td colspan="2"> <Ul> <Li> 5 × Pro Bowl ( 1968 -- 1971 , 1973 ) </Li> <Li> First - team All - Pro ( 1969 ) </Li> <Li> 2 × Second - team All - Pro ( 1970 , 1971 ) </Li> <Li> NFL rushing yards leader ( 1971 ) </Li> <Li> NFL rushing touchdowns leader ( 1973 ) </Li> </Ul> <Ul> <Li> Denver Broncos No. 44 retired </Li> <Li> Denver Broncos Ring of Fame </Li> <Li> 3 × First - team All - American ( 1964 -- 1966 ) </Li> <Li> Syracuse Orange No. 44 retired </Li> </Ul> </Td> </Tr> <Tr> <Th colspan="2"> </Th> </Tr> <Tr> <Th colspan="2"> Career NFL statistics </Th> </Tr> <Tr> <Td colspan="2"> <Table> <Tr> <Th> Rushing yards : </Th> <Td> 6,323 </Td> </Tr> <Tr> <Th> Rushing average : </Th> <Td> 3.9 </Td> </Tr> <Tr> <Th> Rushing touchdowns : </Th> <Td> 43 </Td> </Tr> <Tr> <Th> Receptions : </Th> <Td> 215 </Td> </Tr> <Tr> <Th> Receiving yards : </Th> <Td> 2,418 </Td> </Tr> <Tr> <Th> Receiving touchdowns : </Th> <Td> 9 </Td> </Tr> <Tr> <Td colspan="2"> Player stats at NFL.com </Td> </Tr> </Table> </Td> </Tr> <Tr> <Td colspan="2"> </Td> </Tr> <Tr> <Td colspan="2"> Player stats at PFR </Td> </Tr> <Tr> <Td colspan="2"> Pro Football Hall of Fame </Td> </Tr> <Tr> <Td colspan="2"> College Football Hall of Fame </Td> </Tr> <Tr> <Td colspan="2"> </Td> </Tr> </Table>
{ "tokens": [ "<Table>", "Floyd", "Little", "<Tr>", "<Td", "colspan=\"2\">", "At", "his", "NFL", "Hall", "of", "Fame", "ceremony", "in", "2010", ".", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "No.", "44", "</Th>", "</Tr>", "<Tr>", "<Th>", "Position", ":", "</Th>", "<Td>", "Halfback", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "</Th>", "</Tr>", "<Tr>", "<Th>", "Born", ":", "</Th>", "<Td>", "(", "1942", "-", "07", "-", "04", ")", "July", "4", ",", "1942", "(", "age", "75", ")", "New", "Haven", ",", "Connecticut", "</Td>", "</Tr>", "<Tr>", "<Th>", "Height", ":", "</Th>", "<Td>", "5", "ft", "10", "in", "(", "1.78", "m", ")", "</Td>", "</Tr>", "<Tr>", "<Th>", "Weight", ":", "</Th>", "<Td>", "196", "lb", "(", "89", "kg", ")", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Career", "information", "</Th>", "</Tr>", "<Tr>", "<Th>", "High", "school", ":", "</Th>", "<Td>", "New", "Haven", "(", "CT", ")", "Hillhouse", "</Td>", "</Tr>", "<Tr>", "<Th>", "College", ":", "</Th>", "<Td>", "Syracuse", "</Td>", "</Tr>", "<Tr>", "<Th>", "NFL", "Draft", ":", "</Th>", "<Td>", "1967", "/", "Round", ":", "1", "/", "Pick", ":", "6", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Career", "history", "</Th>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Ul>", "<Li>", "Denver", "Broncos", "(", "1967", "--", "1975", ")", "</Li>", "</Ul>", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "</Th>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Career", "highlights", "and", "awards", "</Th>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Ul>", "<Li>", "5", "×", "Pro", "Bowl", "(", "1968", "--", "1971", ",", "1973", ")", "</Li>", "<Li>", "First", "-", "team", "All", "-", "Pro", "(", "1969", ")", "</Li>", "<Li>", "2", "×", "Second", "-", "team", "All", "-", "Pro", "(", "1970", ",", "1971", ")", "</Li>", "<Li>", "NFL", "rushing", "yards", "leader", "(", "1971", ")", "</Li>", "<Li>", "NFL", "rushing", "touchdowns", "leader", "(", "1973", ")", "</Li>", "</Ul>", "<Ul>", "<Li>", "Denver", "Broncos", "No.", "44", "retired", "</Li>", "<Li>", "Denver", "Broncos", "Ring", "of", "Fame", "</Li>", "<Li>", "3", "×", "First", "-", "team", "All", "-", "American", "(", "1964", "--", "1966", ")", "</Li>", "<Li>", "Syracuse", "Orange", "No.", "44", "retired", "</Li>", "</Ul>", "</Td>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "</Th>", "</Tr>", "<Tr>", "<Th", "colspan=\"2\">", "Career", "NFL", "statistics", "</Th>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "<Table>", "<Tr>", "<Th>", "Rushing", "yards", ":", "</Th>", "<Td>", "6,323", "</Td>", "</Tr>", "<Tr>", "<Th>", "Rushing", "average", ":", "</Th>", "<Td>", "3.9", "</Td>", "</Tr>", "<Tr>", "<Th>", "Rushing", "touchdowns", ":", "</Th>", "<Td>", "43", "</Td>", "</Tr>", "<Tr>", "<Th>", "Receptions", ":", "</Th>", "<Td>", "215", "</Td>", "</Tr>", "<Tr>", "<Th>", "Receiving", "yards", ":", "</Th>", "<Td>", "2,418", "</Td>", "</Tr>", "<Tr>", "<Th>", "Receiving", "touchdowns", ":", "</Th>", "<Td>", "9", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Player", "stats", "at", "NFL.com", "</Td>", "</Tr>", "</Table>", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Player", "stats", "at", "PFR", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "Pro", "Football", "Hall", "of", "Fame", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "College", "Football", "Hall", "of", "Fame", "</Td>", "</Tr>", "<Tr>", "<Td", "colspan=\"2\">", "</Td>", "</Tr>", "</Table>" ], "offsets": [ 0, 8, 14, 21, 26, 30, 43, 46, 50, 54, 59, 62, 67, 76, 79, 84, 86, 92, 98, 103, 107, 120, 124, 127, 133, 139, 144, 149, 158, 160, 166, 171, 180, 186, 192, 197, 201, 214, 220, 226, 231, 236, 241, 243, 249, 254, 256, 261, 263, 266, 268, 271, 273, 278, 280, 282, 287, 289, 293, 296, 298, 302, 308, 310, 322, 328, 334, 339, 344, 351, 353, 359, 364, 366, 369, 372, 375, 377, 382, 384, 386, 392, 398, 403, 408, 415, 417, 423, 428, 432, 435, 437, 440, 443, 445, 451, 457, 462, 466, 479, 486, 498, 504, 510, 515, 520, 525, 532, 534, 540, 545, 549, 555, 557, 560, 562, 572, 578, 584, 589, 594, 602, 604, 610, 615, 624, 630, 636, 641, 646, 650, 656, 658, 664, 669, 674, 676, 682, 684, 686, 688, 693, 695, 697, 703, 709, 714, 718, 731, 738, 746, 752, 758, 763, 767, 780, 785, 790, 797, 805, 807, 812, 815, 820, 822, 828, 834, 840, 846, 851, 855, 868, 874, 880, 885, 889, 902, 909, 920, 924, 931, 937, 943, 948, 952, 965, 970, 975, 977, 979, 983, 988, 990, 995, 998, 1003, 1005, 1010, 1012, 1018, 1023, 1029, 1031, 1036, 1040, 1042, 1046, 1048, 1053, 1055, 1061, 1066, 1068, 1070, 1077, 1079, 1084, 1088, 1090, 1094, 1096, 1101, 1103, 1108, 1110, 1116, 1121, 1125, 1133, 1139, 1146, 1148, 1153, 1155, 1161, 1166, 1170, 1178, 1189, 1196, 1198, 1203, 1205, 1211, 1217, 1222, 1227, 1234, 1242, 1246, 1249, 1257, 1263, 1268, 1275, 1283, 1288, 1291, 1296, 1302, 1307, 1309, 1311, 1317, 1319, 1324, 1328, 1330, 1339, 1341, 1346, 1349, 1354, 1356, 1362, 1367, 1376, 1383, 1387, 1390, 1398, 1404, 1410, 1416, 1422, 1427, 1431, 1444, 1450, 1456, 1461, 1465, 1478, 1485, 1489, 1500, 1506, 1512, 1517, 1521, 1534, 1542, 1547, 1552, 1560, 1566, 1568, 1574, 1579, 1585, 1591, 1597, 1602, 1607, 1615, 1623, 1625, 1631, 1636, 1640, 1646, 1652, 1657, 1662, 1670, 1681, 1683, 1689, 1694, 1697, 1703, 1709, 1714, 1719, 1730, 1732, 1738, 1743, 1747, 1753, 1759, 1764, 1769, 1779, 1785, 1787, 1793, 1798, 1804, 1810, 1816, 1821, 1826, 1836, 1847, 1849, 1855, 1860, 1862, 1868, 1874, 1879, 1883, 1896, 1903, 1909, 1912, 1920, 1926, 1932, 1941, 1947, 1953, 1958, 1962, 1975, 1981, 1987, 1992, 1996, 2009, 2016, 2022, 2025, 2029, 2035, 2041, 2046, 2050, 2063, 2067, 2076, 2081, 2084, 2089, 2095, 2101, 2106, 2110, 2123, 2131, 2140, 2145, 2148, 2153, 2159, 2165, 2170, 2174, 2187, 2193, 2199 ] }
cdad4c9e810a4fd6af86348dbe92b6c0
who did floyd little play for in the nfl
{ "tokens": [ "who", "did", "floyd", "little", "play", "for", "in", "the", "nfl" ], "offsets": [ 0, 4, 8, 14, 21, 26, 30, 33, 37 ] }
{ "text": [ "Denver Broncos" ], "char_spans": [ { "start": [ 790 ], "end": [ 803 ] } ], "token_spans": [ { "start": [ 157 ], "end": [ 158 ] } ] }
[ "Denver Broncos" ]
NaturalQuestionsShort
<P> `` Evermore '' is a song written by composer Alan Menken and lyricist Tim Rice for the musical fantasy film Beauty and the Beast ( 2017 ) , a live - action remake of Disney 's 1991 animated film of the same name . Originally recorded for the film by English actor Dan Stevens , who performs the song in his starring role as the titular Beast , `` Evermore '' was first released as a single by American singer Josh Groban on March 3 , 2017 . Stevens ' version was made available on March 10 , 2017 when the film 's soundtrack was released online , while Groban 's single is played in closing credits . </P>
{ "tokens": [ "<P>", "``", "Evermore", "''", "is", "a", "song", "written", "by", "composer", "Alan", "Menken", "and", "lyricist", "Tim", "Rice", "for", "the", "musical", "fantasy", "film", "Beauty", "and", "the", "Beast", "(", "2017", ")", ",", "a", "live", "-", "action", "remake", "of", "Disney", "'s", "1991", "animated", "film", "of", "the", "same", "name", ".", "Originally", "recorded", "for", "the", "film", "by", "English", "actor", "Dan", "Stevens", ",", "who", "performs", "the", "song", "in", "his", "starring", "role", "as", "the", "titular", "Beast", ",", "``", "Evermore", "''", "was", "first", "released", "as", "a", "single", "by", "American", "singer", "Josh", "Groban", "on", "March", "3", ",", "2017", ".", "Stevens", "'", "version", "was", "made", "available", "on", "March", "10", ",", "2017", "when", "the", "film", "'s", "soundtrack", "was", "released", "online", ",", "while", "Groban", "'s", "single", "is", "played", "in", "closing", "credits", ".", "</P>" ], "offsets": [ 0, 4, 7, 16, 19, 22, 24, 29, 37, 40, 49, 54, 61, 65, 74, 78, 83, 87, 91, 99, 107, 112, 119, 123, 127, 133, 135, 140, 142, 144, 146, 151, 153, 160, 167, 170, 177, 180, 185, 194, 199, 202, 206, 211, 216, 218, 229, 238, 242, 246, 251, 254, 262, 268, 272, 280, 282, 286, 295, 299, 304, 307, 311, 320, 325, 328, 332, 340, 346, 348, 351, 360, 363, 367, 373, 382, 385, 387, 394, 397, 406, 413, 418, 425, 428, 434, 436, 438, 443, 445, 453, 455, 463, 467, 472, 482, 485, 491, 494, 496, 501, 506, 510, 515, 518, 529, 533, 542, 549, 551, 557, 564, 567, 574, 577, 584, 587, 595, 603, 605 ] }
765b161554f74221b8a7469a98567d37
who sings evermore on beauty and the beast
{ "tokens": [ "who", "sings", "evermore", "on", "beauty", "and", "the", "beast" ], "offsets": [ 0, 4, 10, 19, 22, 29, 33, 37 ] }
{ "text": [ "Dan Stevens", "Josh Groban" ], "char_spans": [ { "start": [ 268 ], "end": [ 278 ] }, { "start": [ 413 ], "end": [ 423 ] } ], "token_spans": [ { "start": [ 53 ], "end": [ 54 ] }, { "start": [ 81 ], "end": [ 82 ] } ] }
[ "Dan Stevens", "Josh Groban" ]
NaturalQuestionsShort
<P> Daniel C. Jacobs Jr. ( born July 7 , 1968 ) , known as Danny Jacobs , is an American actor , singer , voice artist , and comedian , best known as the voice of King Julien in The Penguins of Madagascar ( 2008 ) , Merry Madagascar ( 2009 ) , and All Hail King Julien ( 2014 ) , substituting for Sacha Baron Cohen . In Madagascar 3 : Europe 's Most Wanted ( 2012 ) , he provided Julien 's singing voice in the soundtrack . Jacobs also impersonated Baron Cohen 's character Borat Sagdiyev in Epic Movie ( 2007 ) . </P>
{ "tokens": [ "<P>", "Daniel", "C.", "Jacobs", "Jr.", "(", "born", "July", "7", ",", "1968", ")", ",", "known", "as", "Danny", "Jacobs", ",", "is", "an", "American", "actor", ",", "singer", ",", "voice", "artist", ",", "and", "comedian", ",", "best", "known", "as", "the", "voice", "of", "King", "Julien", "in", "The", "Penguins", "of", "Madagascar", "(", "2008", ")", ",", "Merry", "Madagascar", "(", "2009", ")", ",", "and", "All", "Hail", "King", "Julien", "(", "2014", ")", ",", "substituting", "for", "Sacha", "Baron", "Cohen", ".", "In", "Madagascar", "3", ":", "Europe", "'s", "Most", "Wanted", "(", "2012", ")", ",", "he", "provided", "Julien", "'s", "singing", "voice", "in", "the", "soundtrack", ".", "Jacobs", "also", "impersonated", "Baron", "Cohen", "'s", "character", "Borat", "Sagdiyev", "in", "Epic", "Movie", "(", "2007", ")", ".", "</P>" ], "offsets": [ 0, 4, 11, 14, 21, 25, 27, 32, 37, 39, 41, 46, 48, 50, 56, 59, 65, 72, 74, 77, 80, 89, 95, 97, 104, 106, 112, 119, 121, 125, 134, 136, 141, 147, 150, 154, 160, 163, 168, 175, 178, 182, 191, 194, 205, 207, 212, 214, 216, 222, 233, 235, 240, 242, 244, 248, 252, 257, 262, 269, 271, 276, 278, 280, 293, 297, 303, 309, 315, 317, 320, 331, 333, 335, 342, 345, 350, 357, 359, 364, 366, 368, 371, 380, 387, 390, 398, 404, 407, 411, 422, 424, 431, 436, 449, 455, 461, 464, 474, 480, 489, 492, 497, 503, 505, 510, 512, 514 ] }
ac76c58696ba42bb9d224cc552c599c8
who does the voice of king julian in madagascar
{ "tokens": [ "who", "does", "the", "voice", "of", "king", "julian", "in", "madagascar" ], "offsets": [ 0, 4, 9, 13, 19, 22, 27, 34, 37 ] }
{ "text": [ "Danny Jacobs" ], "char_spans": [ { "start": [ 59 ], "end": [ 70 ] } ], "token_spans": [ { "start": [ 15 ], "end": [ 16 ] } ] }
[ "Danny Jacobs" ]
NaturalQuestionsShort
<P> The Joker was one of the few popular villains continuing to appear regularly in Batman comics from the Golden Age into the Silver Age , as the series continued during the rise in popularity of mystery and romance comics . In 1951 , Finger wrote an origin story for the Joker in Detective Comics # 168 , which introduced the characteristic of him formerly being the criminal Red Hood , and his disfigurement the result of a fall into a chemical vat . </P>
{ "tokens": [ "<P>", "The", "Joker", "was", "one", "of", "the", "few", "popular", "villains", "continuing", "to", "appear", "regularly", "in", "Batman", "comics", "from", "the", "Golden", "Age", "into", "the", "Silver", "Age", ",", "as", "the", "series", "continued", "during", "the", "rise", "in", "popularity", "of", "mystery", "and", "romance", "comics", ".", "In", "1951", ",", "Finger", "wrote", "an", "origin", "story", "for", "the", "Joker", "in", "Detective", "Comics", "#", "168", ",", "which", "introduced", "the", "characteristic", "of", "him", "formerly", "being", "the", "criminal", "Red", "Hood", ",", "and", "his", "disfigurement", "the", "result", "of", "a", "fall", "into", "a", "chemical", "vat", ".", "</P>" ], "offsets": [ 0, 4, 8, 14, 18, 22, 25, 29, 33, 41, 50, 61, 64, 71, 81, 84, 91, 98, 103, 107, 114, 118, 123, 127, 134, 138, 140, 143, 147, 154, 164, 171, 175, 180, 183, 194, 197, 205, 209, 217, 224, 226, 229, 234, 236, 243, 249, 252, 259, 265, 269, 273, 279, 282, 292, 299, 301, 305, 307, 313, 324, 328, 343, 346, 350, 359, 365, 369, 378, 382, 387, 389, 393, 397, 411, 415, 422, 425, 427, 432, 437, 439, 448, 452, 454 ] }
903a8561a9d340e9bc4d938bb1399c1e
what was the joker 's real name in batman
{ "tokens": [ "what", "was", "the", "joker", "'s", "real", "name", "in", "batman" ], "offsets": [ 0, 5, 9, 13, 19, 22, 27, 32, 35 ] }
{ "text": [ "Red Hood" ], "char_spans": [ { "start": [ 378 ], "end": [ 385 ] } ], "token_spans": [ { "start": [ 68 ], "end": [ 69 ] } ] }
[ "Red Hood" ]