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symbolic-instruction-tuning-sql

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Split (1)

train · 200k rows

inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: club \| season \| league apps \| league goals \| cup1 apps \| cup1 goals \| continental2 apps \| continental2 goals \| other3 apps \| other3 goals \| total apps \| total goals row 1 : anzhi makhachkala \| 1999 \| 40 \| 2 \| None \| None \| None \| None \| None \| None \| 40 \| 2 row 2 : anzhi makhachkala \| 2000 \| 30 \| 3 \| None \| None \| None \| None \| None \| None \| 30 \| 3 row 3 : anzhi makhachkala \| 2001 \| 14 \| 0 \| None \| None \| None \| None \| None \| None \| 14 \| 0 row 4 : anzhi makhachkala \| total \| 84 \| 5 \| None \| None \| None \| None \| None \| None \| 84 \| 5 row 5 : cska moscow \| 2001 \| 12 \| 1 \| None \| None \| None \| None \| None \| None \| 12 \| 1 row 6 : cska moscow \| 2002 \| 29 \| 2 \| None \| None \| 2 \| 0 \| None \| None \| 31 \| 2 row 7 : cska moscow \| 2003 \| 28 \| 1 \| None \| None \| 2 \| 0 \| 1 \| 0 \| 31 \| 1 row 8 : cska moscow \| 2004 \| 26 \| 1 \| None \| None \| 10 \| 0 \| 1 \| 0 \| 27 \| 1 row 9 : cska moscow \| 2005 \| 30 \| 1 \| 0 \| 0 \| 15 \| 0 \| None \| None \| 45 \| 1 row 10 : cska moscow \| 2006 \| 30 \| 1 \| 6 \| 0 \| 7 \| 0 \| 1 \| 0 \| 44 \| 1 row 11 : cska moscow \| 2007 \| 27 \| 0 \| 5 \| 0 \| 7 \| 0 \| 1 \| 0 \| 40 \| 0 row 12 : cska moscow \| 2008 \| 23 \| 0 \| 3 \| 0 \| None \| None \| None \| None \| 18 \| 0 row 13 : cska moscow \| 2009 \| 10 \| 0 \| 1 \| 0 \| 6 \| 0 \| 1 \| 0 \| 18 \| 0 row 14 : cska moscow \| 2010 \| 11 \| 0 \| 1 \| 0 \| 6 \| 0 \| 0 \| 0 \| 18 \| 0 row 15 : cska moscow \| 2011-12 \| 13 \| 0 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 15 \| 0 row 16 : cska moscow \| 2012-13 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 17 : cska moscow \| 2013-14 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 18 : cska moscow \| total \| 240 \| 7 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 302 \| 7 row 19 : career total \| career total \| 324 \| 12 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 386 \| 12 ] Execute this SQL based on the above table: select count ( club ) where club = 'cska moscow'	14
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select sum ( fumble return yards ) where tackles in ( 6 , 71 )	0.0
[ header: primary \| other row 1 : black with glitzy gold glitter \| black with glitzy gold glitter row 2 : #000000 \| #e7c697 row 3 : blue green with glitzy gold glitter \| blue green with glitzy gold glitter row 4 : #0d98ba \| #e7c697 row 5 : green with twinkling turquoise glitter \| green with twinkling turquoise glitter row 6 : #1cac78 \| #77dde7 row 7 : orange with twinkling turquoise glitter \| orange with twinkling turquoise glitter row 8 : #ff7538 \| #77dde7 row 9 : red with shimmering silver glitter \| red with shimmering silver glitter row 10 : #ee204d \| #cdc5c2 row 11 : royal purple with ruby red glitter \| royal purple with ruby red glitter row 12 : #7851a9 \| #ee204d row 13 : white with confetti glitter \| white with confetti glitter row 14 : #ffffff \| various row 15 : yellow with rainbow glitter \| yellow with rainbow glitter row 16 : #fce883 \| various row 17 : blue with shimmering silver glitter \| blue with shimmering silver glitter row 18 : #1f75fe \| #cdc5c2 row 19 : carnation pink with lavender glitter \| carnation pink with lavender glitter row 20 : #ffaacc \| #fcb4d5 row 21 : maroon with glitzy gold glitter \| maroon with glitzy gold glitter row 22 : #c8385a \| #e7c697 row 23 : orchid with twinkling turquoise glitter \| orchid with twinkling turquoise glitter row 24 : #e6a8d7 \| #77dde7 row 25 : red violet with glitzy gold glitter \| red violet with glitzy gold glitter row 26 : #c0448f \| #e7c697 row 27 : sky blue with glitzy gold glitter \| sky blue with glitzy gold glitter row 28 : #80daeb \| #e7c697 row 29 : white with glitzy gold glitter \| white with glitzy gold glitter row 30 : #ffffff \| #e7c697 row 31 : yellow green with silver glitter \| yellow green with silver glitter row 32 : #c5e384 \| #cdc5c2 ] Execute this SQL based on the above table: select other where id = ( select id where other = '#e7c697' ) - 1	black with glitzy gold glitter
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select abs ( ( select level where division = 'kakkonen (second division)' ) - ( select level where division = 'kolmonen (third division)' ) )	1
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select count ( comments ) where diet representation representatives not null	8
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select sudetendeutsch order by poland desc limit 1	3160216.0
[ header: player \| games played \| field goals \| free throws \| points row 1 : ralf woods \| 16 \| 54 \| 70 \| 178 row 2 : clyde alwood \| 15 \| 57 \| 0 \| 114 row 3 : ernest mckay \| 15 \| 39 \| 3 \| 81 row 4 : ray woods \| 16 \| 19 \| 0 \| 38 row 5 : john felmley \| 6 \| 7 \| 4 \| 18 row 6 : george halas \| 11 \| 5 \| 0 \| 10 row 7 : r.c. haas \| 3 \| 1 \| 0 \| 2 row 8 : gordon otto \| 4 \| 1 \| 0 \| 2 ] Execute this SQL based on the above table: select player where games played = ( select games played where player = 'ernest mckay' ) + 1	ralf woods, ray woods
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select party where party = 'australian labor party'	australian labor party, australian labor party
[ header: year \| english title \| chinese title \| role \| notes row 1 : 1990 \| wandering heroes \| 游侠儿 - you xia er \| xiao guai \| None row 2 : 1995 \| forever friends \| 四个不平凡的少年 - si ge bu ping fan \| luo zhi j \| None row 3 : 1996 \| flirting expert \| 泡妞专家 - pao niu \| xiao pei \| None row 4 : 1996 \| pale sun \| 情色 - qing se \| lao wu \| None row 5 : 1998 \| red bride \| 红娘 - hong niang \| zhang jun rui \| None row 6 : 1999 \| winner takes all \| 大赢家 - da ying ji \| shi sheng zi \| None row 7 : 1999 \| cotton fleece \| 白棉花 - bai mian h \| ma cheng gong \| None row 8 : 2000 \| devoted to you \| 初恋的故事 - chu lian de \| yu hai \| None row 9 : 2002 \| reunion \| 手足情深 - shou zu q \| ka chung \| None row 10 : 2003 \| grandpa's home \| 爷爷的家 - ye ye \| xin qiang gong an \| None row 11 : 2005 \| taklamakan \| 塔克拉玛干 - takelamagan \| cheng cheng (成成) \| None row 12 : 2008 \| fit lover \| 爱情呼叫转移ii:爱情左右 - a \| guo ying (郭影) \| None row 13 : 2009 \| l-o-v-e \| 爱到底 - ai dao di \| None \| guest star row 14 : 2009 \| a singing fairy \| 寻找刘三姐 - xun zha \| wei wende (韦文德) \| None row 15 : 2009 \| the message \| 风声 - feng sheng \| bai xiaonian (白小年) \| aka "sound of the wind" row 16 : 2009 \| the star and the sea \| 星海 - xinghai \| xiao youmei (萧友梅) \| aka "the musician" row 17 : 2010 \| the four cupids \| 四个丘比特 - si ge qiu \| qi bolin (齐泊霖) \| None row 18 : 2010 \| secret battleground \| 孤岛秘密战 - gu dao mi mi \| japanese officer \| None row 19 : 2010 \| the love song of kang ding \| 康定情歌 - kang ding \| li su jie \| None row 20 : 2010 \| lost in panic room \| 密室之不可告人 - mi shi zi bu \| liu feiyun \| None row 21 : 2011 \| deng enming's childhood \| 少年邓恩铭 - shao nian den \| None \| None row 22 : 2012 \| design of death \| 杀生 - sha sheng \| longevity town doctor \| previous title: 长寿镇 - chang row 23 : 2012 \| the assassins \| 铜雀台 - tong que ta \| emperor xian (獻帝) \| alt pinyin: tong qi row 24 : 2012 \| back to 1942 \| 一九四二 - yi ji \| song ziwen (宋子文) \| None row 25 : 2012 \| three unmarried mothers \| 三个未婚妈妈 - san ge wei \| None \| None row 26 : 2013 \| sweet alibis \| 甜蜜殺機 \| 王志毅 - wang zhi \| None ] Execute this SQL based on the above table: select count ( role ) where year = 1996	2
[ header: composer \| born \| died \| nationality \| notable works for piano \| remarks row 1 : malcolm arnold \| 1921 \| 2006 \| english \| sonata for piano (1942) variations on \| None row 2 : york bowen \| 1884 \| 1961 \| english \| None \| romantic row 3 : alberto ginastera \| 1916 \| 1983 \| argentine \| None \| earlier works often integrate argentine folk themes; row 4 : alexander glazunov \| 1865 \| 1936 \| russian \| None \| romantic row 5 : enrique granados \| 1867 \| 1916 \| spanish \| None \| distinctly spanish row 6 : dmitri kabalevsky \| 1904 \| 1987 \| russian, soviet \| None \| None row 7 : viktor kosenko \| 1896 \| 1938 \| ukrainian \| None \| None row 8 : constant lambert \| 1905 \| 1951 \| english \| piano sonata (1928-1929) suite \| None row 9 : nikolai medtner \| 1880 \| 1951 \| russian \| None \| None row 10 : walter niemann \| 1876 \| 1953 \| german \| None \| impressionist and exotic influences row 11 : ignacy jan paderewski \| 1860 \| 1941 \| polish \| None \| None row 12 : john palm \| 1885 \| 1925 \| curacao-born \| None \| None row 13 : selim palmgren \| 1878 \| 1951 \| finnish \| None \| None row 14 : sergei prokofiev \| 1891 \| 1953 \| russian \| sonata no. 6 in a major \| None row 15 : arnold schoenberg \| 1874 \| 1951 \| austrian, american \| drei klavierstucke, \| serial (mature/late career), late- row 16 : james scott \| 1885 \| 1938 \| american, african-american \| None \| ragtime row 17 : alexander scriabin \| 1872 \| 1915 \| russian \| 10 piano sonatas \| late-romantic (early); at row 18 : alexei stanchinsky \| 1888 \| 1914 \| russian \| None \| post-romantic, modal row 19 : richard strauss \| 1864 \| 1949 \| german \| None \| None row 20 : toru takemitsu \| 1930 \| 1996 \| japanese \| None \| eclectic, with influences ranging from jazz, popular row 21 : galina ustvolskaya \| 1919 \| 2006 \| russian \| None \| eclectic row 22 : heitor villa-lobos \| 1887 \| 1959 \| brazilian \| bachianas brasileiras no \| None row 23 : angel villoldo \| 1861 \| 1919 \| argentine \| None \| tango ] Execute this SQL based on the above table: select count ( * ) where notable works for piano <= 690	1
[ header: event \| winner \| second \| third \| fourth row 1 : 2008 telstra men's pro \| josh constable \| seb wilson \| grant thomas \| jackson close row 2 : 2008 banana boat women's pro \| jennifer smith \| janna irons \| justin dupont \| selby riddle row 3 : 2007 odyssey 20/20 men \| josh constable \| harrison roach \| jackson close \| harley ingleby row 4 : 2007 banana boat women's pro \| chelsea wlliam \| lisa nicholson \| isabelle braley \| crystal dzigas row 5 : 2009 golden breed mens pro lqs \| taylor jensen \| josh constable \| christian wach \| harrison roach row 6 : 2009 banana boat women's pro \| chelsea wlliam \| melissa combo \| isaselby riddle \| isabelle brayley row 7 : 2010 golden breed mens pro lqs \| taylor jensen \| josh constable \| christian wach \| jackson close row 8 : 2010 the back beach women's 1 star pro \| crystal dzigas \| isabele braly \| leah dawson \| rosie locke ] Execute this SQL based on the above table: select third order by id desc limit 1	leah dawson
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where nationality = 'united states' and nationality + nationality = 0	46.0
[ header: name \| elected \| term began \| term ended row 1 : john t. jordan \| elected july 10, 1871 \| 1871 \| 1872 row 2 : john collins \| elected july 14, 1873 \| 1873 \| 1874 row 3 : henry yesler \| elected july 13, 1874 \| 1874 \| 1875 row 4 : gideon a. weed \| elected july 10, 1876 and ju \| 1876 \| 1878 row 5 : leonard purley smith \| elected july 12, 1880 and ju \| 1880 \| 1882 row 6 : henry g. struve \| elected july 10, 1882 and ju \| 1882 \| 1884 row 7 : john leary \| elected july 14, 1884 \| 1884 \| 1885 row 8 : henry yesler \| elected july 13, 1885 \| 1885 \| 1886 row 9 : dr. thomas t \| elected july 11, 1887 \| 1887 \| 1888 row 10 : harry white \| elected july 14, 1890 resigned \| 1890 \| 1891 row 11 : byron phelps \| elected march 12, 1894 \| 1894 \| 1896 row 12 : richard a. ballinger \| elected march 8, 1904 \| 1904 \| 1906 row 13 : john f. miller \| elected march 3, 1908 \| 1908 \| 1910 row 14 : george w. dilling \| appointed february 10, 1911[citation needed] \| 1912 \| None row 15 : george f. cotterill \| elected march 5, 1912 \| 1912 \| 1914 row 16 : ole hanson \| elected march 5, 1918 resigned august 28, 1919 \| 1918 \| 1919 row 17 : hugh m. caldwell \| elected march 2, 1920 \| 1920 \| 1922 row 18 : edwin j. brown \| elected may 2, 1922 and march 4, 1924 \| 1922 \| 1926 row 19 : frank e. edward \| elected march 6, 1928 and march 4, 1930 recalled \| 1928 \| 1931 row 20 : robert h. harl \| appointed july 14, 1931 \| 1931 \| 1932 row 21 : charles l. smith \| elected march 6, 1934 \| 1934 \| 1936 row 22 : john f. dore \| elected march 3, 1936 became gravely ill and \| 1936 \| 1938 row 23 : arthur b. langlie \| elected march 8, 1938 appointed to take office early, \| 1938 \| 1941 row 24 : john e. carroll \| appointed january 27, 1941 \| 1941 \| 1941 row 25 : william f. devin \| elected march 3, 1942, march 7, 1944, march \| 1942 \| 1952 row 26 : allan pomeroy \| elected march 4, 1952 \| 1952 \| 1956 row 27 : gordon s. clinton \| elected march 6, 1956 and march 8, 1960 \| 1956 \| 1964 row 28 : james d'orma bra \| elected march 10, 1964 resigned march 23, 1969 \| 1964 \| 1969 row 29 : floyd c. miller \| appointed march 23, 1969 \| 1969 \| 1969 row 30 : wesley c. uhlman \| elected november 4, 1969 and november \| december 1, 1969 \| january 1, 1978 row 31 : charles royer \| elected november 8, 1977, november \| january 1, 1978 \| january 1, 1990 ] Execute this SQL based on the above table: select name order by id desc limit 1	charles royer
[ header: species \| country of origin \| total released \| first release \| last release \| areas of release \| areas established \| pasture type row 1 : bubas bison \| france, spain \| 1613 \| april 1983 \| 1996 (not by csiro \| wa \| nsw, sa, wa \| winter rainfall row 2 : copris elphenor k \| south africa \| 2287 \| january 1977 \| may 1983 \| qld \| qld \| summer rainfall row 3 : copris hispanus linn \| spain \| 294 \| october 1983 \| june 1994 \| wa \| wa \| winter rainfall row 4 : euoniticellus ful \| france, turkey \| 76944 \| march 1978 \| february 1983 \| nsw, sa, \| nsw, sa, \| winter rainfall row 5 : euoniticellus intermedius \| south africa \| 248637 \| november 1971 \| february 1984 \| act, nsw, nt \| nsw, nt, \| summer rainfall row 6 : onitis aygalus fabrici \| south africa \| 18682 \| january 1977 \| january 1982 \| nsw, sa, wa \| nsw, sa, \| winter rainfall row 7 : onitis caffer boheman \| south africa \| 8738 \| october 1979 \| april 1984 \| wa \| qld, nsw, \| summer rainfall, winter rainfall row 8 : onitis vanderkelleni lans \| kenya, rwanda \| 10852 \| october 1974 \| february 1982 \| nsw, qld \| qld \| summer rainfall row 9 : onthophagus gazella fabricius \| south africa \| 420415 \| february 1968 \| february 1984 \| act, nsw, nt \| act, nsw, nt \| summer rainfall row 10 : onthophagus nigiventri \| east africa \| 29960 \| may 1975 \| march 1983 \| nsw \| nsw \| summer rainfall row 11 : onthophagus obliquus \| nigeria, senegal, \| 9300 \| january 1976 \| november 1977 \| qld, nt \| qld \| summer rainfall row 12 : onthophagus sagittarius \| sri lanka (via \| 9075 \| january 1968 \| march 1977 \| nsw, nt, \| nsw, nt \| summer rainfall row 13 : onthophagus taurus schre \| spain, greece, ita \| 164499 \| february 1975 \| january 1984 \| nsw, sa, \| nsw, sa, \| winter rainfall row 14 : sisyphus spinipes \| south africa \| 36125 \| march 1972 \| december 1978 \| nsw, nt, \| nsw, qld \| summer rainfall ] Execute this SQL based on the above table: select count ( * ) where total released > 10	14
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| park ho-hyun \| south korea \| 55.58 \| pb row 2 : None \| lee young-sun \| south korea \| 55.29 \| None row 3 : None \| anne de silva \| sri lanka \| 54.86 \| None row 4 : 4 \| liliya dusmetova \| uzbekistan \| 54.52 \| sb row 5 : 5 \| zhang li \| china \| 54.11 \| None row 6 : 6 \| harumi yamamoto \| japan \| 52.6 \| None row 7 : 7 \| suman devi \| india \| 52.58 \| None row 8 : 8 \| emika yoshida \| japan \| 51.62 \| None row 9 : 9 \| nadeeka lakmali \| sri lanka \| 48.54 \| None row 10 : 10 \| jang ok-ju \| north korea \| 41.68 \| pb row 11 : 11 \| parveen akhtar \| pakistan \| 37.51 \| None ] Execute this SQL based on the above table: select count ( distinct rank )	8
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select language where role = 'anwita chauhan'	hindi
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select category order by category desc limit 1	rocket-powered aircraft
[ header: common names subspecies \| pacific (critchfieldiana) \| columbia (ponderosa) \| rocky mountains (scopulorum) \| southwestern (brachyptera) \| central high plains (readiana) row 1 : years needles remain green \| 3.9±0.25, n=30 \| 4.7±0.14, n=50 \| 5.7±0.28, n=23 \| 4.3±0.18, n=24 \| 4.7±0.18, n=5 row 2 : foliage length on branch, cm \| 25.1±2.4, n=30 \| 26.2±2.2, n=50 \| 21.1±1.7, n=23 \| 21.8±2.7, n=24 \| 42.2±6.7, n=5 row 3 : needle length, cm \| 19.8±0.44, n=30 \| 16.8±0.29, n=48 \| 11.2±0.27, n=23 \| 14.7±0.45, n=24 \| 15.6±0.57, n=5 row 4 : needles per fascicle \| 3.0±0.00, n=30 \| 3.0±0.00, n=48 \| 2.6±0.06, n=23 \| 3.0±0.03, n=24 \| 2.4±0.11, n=5 row 5 : needle thickness \| 45.9±0.49, n= \| 47.8±0.51, n=48 \| 46.4±0.68, n=23 \| 44.8±0.87, n=24 \| 49.7±0.61, n=5 row 6 : branches per whorl \| 4.4±0.13, n=30 \| 3.7±0.11, n=50 \| 3.0±0.17, n=23 \| 3.4±0.25, n=23 \| 2.3±0.11, n=5 row 7 : branch angle ° from vert \| 56±1.8, n=30 \| 51±1.7, n=50 \| 50±2.3, n=23 \| 48±3.1, n=24 \| 36±1.9, n=5 row 8 : seed cones length, mm \| 101.4±2.48, n=25 \| 88.7±1.24, n= \| 70.7±2.20, n=22 \| 74.9±2.51, n=20 \| 71.1±2.46, n=5 row 9 : seed cones width, mm \| 77.1±1.35, n=25 \| 71.6±0.73, n=36 \| 61.5±1.08, n=22 \| 62.6±1.77, n=20 \| 63.3±2.18, n=5 row 10 : seed cone form w/l \| 0.80±0.03, n=25 \| 0.84±0.03, n=36 \| 0.90±0.02, n=22 \| 0.86±0.02, n=20 \| 0.90±0.03, n=5 row 11 : seed length, mm \| 7.5±0.08, n=23 \| 7.6±0.16, n=14 \| 6.3±0.09, n=17 \| 6.4±0.18, n=16 \| 7.0±0.12, n=5 row 12 : seed width, mm \| 4.9±0.05, n=23 \| 4.9±0.08, n=14 \| 4.1±0.05, n=17 \| 4.3±0.09, n=16 \| 4.5±0.10, n=5 row 13 : seed + wing length, mm \| 32.3±0.58, n=23 \| 24.8±0.62, n=14 \| 22.9±0.63, n=17 \| 23.3±0.68, n=15 \| 23.1±0.78, n=5 row 14 : mature cone color \| apple green to yellow green \| green & red-brown to d \| green & red-brown to d \| None \| green & red-brown to d ] Execute this SQL based on the above table: select max ( columbia (ponderosa) ) where columbia (ponderosa) = '24.8±0.62, n=14'	24.8±0.62, n=14
[ header: year \| film \| language \| actors \| music \| banner \| note row 1 : 1954 \| ratha paasam \| tamil \| t. k. shanmug \| m. k. athmana \| jupiter pictures & av \| directed by r. s. mani row 2 : 1956 \| amara deepam \| tamil \| sivaji ganesan, \| t. chalapathi r \| venus pictures \| directed by t. prakash row 3 : 1956 \| bhaai bhaai \| hindi \| ashok kumar, kishore \| None \| avm productions \| directed by m. v. rama row 4 : 1964 \| kalai kovil \| tamil \| r. muthuraman \| viswanathan ramamoorthy \| bhagyalakshm \| None row 5 : 1968 \| saathi \| hindi \| rajendra kumar, vy \| naushad \| venus pictures \| None row 6 : 1969 \| sivandha mann \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 7 : 1971 \| duniya kya jan \| hindi \| None \| None \| None \| None row 8 : 1974 \| urimai kural \| tamil \| mgr, latha \| m. s. viswanathan \| chitrayuga films \| None row 9 : 1975 \| vaira nenjam \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 10 : 1978 \| ilamai oonjalaa \| tamil \| kamal hassan, rajini \| ilaiyaraaja \| chithrakala pictures \| None row 11 : 1982 \| ninaivellam ni \| tamil \| karthik, jiji, \| ilaiyaraaja \| sivasakthi films \| None row 12 : 1983 \| thudikkum karangal \| tamil \| rajinikanth, radha \| s. p. balasubram \| krg films \| None row 13 : 1984 \| unnaithedi varu \| tamil \| None \| ilaiyaraaja \| None \| None row 14 : 1991 \| thanthu vitten enna \| tamil \| vikram, rohini \| ilaiyaraaja \| chitralaya films \| None ] Execute this SQL based on the above table: select banner where year > ( select year where banner = 'chitrayuga films' )	chitralaya films, chithrakala pictures, sivasakthi films, krg films, chitralaya films
[ header: region \| date \| label \| format row 1 : australia \| march 4, 2011 \| warner music group \| cd, digital download row 2 : united kingdom \| march 7, 2011 \| atlantic records \| cd, digital download row 3 : france \| march 7, 2011 \| atlantic records \| cd, digital download row 4 : united states \| march 8, 2011 \| atlantic records \| cd, digital download row 5 : canada \| march 8, 2011 \| warner music group \| cd, digital download row 6 : japan \| march 23, 2011 \| None \| cd, digital download row 7 : germany \| april 29, 2011 \| atlantic records \| cd, digital download row 8 : austria \| april 29, 2011 \| atlantic records \| cd, digital download row 9 : switzerland \| april 29, 2011 \| atlantic records \| cd, digital download ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	april 29, 2011
[ header: rnd \| date \| race name \| circuit \| city/location \| pole position \| fastest lap \| winning driver \| winning team \| report row 1 : 1 \| march 5 \| marlboro grand prix of miami presented by \| bicentennial park \| miami, florida \| michael andretti \| scott pruett \| jacques villeneuve \| team green \| report row 2 : 2 \| march 19 \| australian indycar grand prix \| surfers paradise street circuit \| surfers paradise, australia \| michael andretti \| michael andretti \| paul tracy \| newman/haas racing \| report row 3 : 3 \| april 2 \| slick 50 200 \| phoenix international raceway \| phoenix, arizona \| bryan herta \| emerson fittipaldi \| robby gordon \| walker racing \| report row 4 : 4 \| april 9 \| toyota grand prix of long beach \| streets of long beach \| long beach, california \| michael andretti \| michael andretti \| al unser, jr \| marlboro team penske \| report row 5 : 5 \| april 23 \| bosch spark plug grand prix \| nazareth speedway \| nazareth, pennsylvani \| robby gordon \| emerson fittipaldi \| emerson fittipaldi \| marlboro team penske \| report row 6 : 6 \| may 28 \| 79th indianapolis 500 \| indianapolis motor speedway \| speedway, indiana \| scott brayton \| scott goodyear \| jacques villeneuve \| team green \| report row 7 : 7 \| june 4 \| miller genuine draft 200 \| milwaukee mile \| west allis, wisconsin \| teo fabi \| teo fabi \| paul tracy \| newman/haas racing \| report row 8 : 8 \| june 11 \| itt automotive grand prix of detroit \| the raceway on belle isle park \| detroit, michigan \| robby gordon \| michael andretti \| robby gordon \| walker racing \| report row 9 : 9 \| june 25 \| budweiser/g. i. \| portland international raceway \| portland, oregon \| jacques villeneuve \| al unser, jr \| al unser, jr \| marlboro team penske \| report row 10 : 10 \| july 9 \| texaco/havoline 200 \| road america \| elkhart lake, wiscons \| jacques villeneuve \| jacques villeneuve \| jacques villeneuve \| team green \| report row 11 : 11 \| july 16 \| molson indy toronto \| exhibition place \| toronto, ontario \| jacques villeneuve \| bobby rahal \| michael andretti \| newman/haas racing \| report row 12 : 12 \| july 23 \| budweiser grand prix of clevel \| cleveland burke lakefront airport \| cleveland, ohio \| gil de ferran \| jacques villeneuve \| jacques villeneuve \| team green \| report row 13 : 14 \| august 13 \| miller genuine draft 200 \| mid-ohio sports car course \| lexington, ohio \| jacques villeneuve \| al unser, jr \| al unser, jr \| marlboro team penske \| report row 14 : 17 \| september 10 \| toyota grand prix of monter \| laguna seca raceway \| monterey, californi \| jacques villeneuve \| gil de ferran \| gil de ferran \| jim hall racing \| report ] Execute this SQL based on the above table: select rnd where city/location = 'speedway, indiana' group by rnd order by count ( date ) desc limit 1	6
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select sum ( rank )	143.0
[ header: \| plain catgut \| chromic catgut \| polyglycolide (p.g.a.) \| polydioxanone (pds) row 1 : composition \| None \| natural purified collagen \| polyglycolic acid \| polyester and poly (p-diox row 2 : tensile strength \| strength retention for at least 7 days \| maintains strength for 10-14 days \| 84% at 2 weeks, 23% at 4 \| 80% at 2 weeks, 44% at 8 row 3 : origin \| bovine serosa surface finish \| bovine serosa \| synthetic \| synthetic through the critical wound row 4 : treatment \| None \| treatment with a glycerol \| coated with magnesium stearate \| uncoated row 5 : type of absorption \| proteolytic enzymatic digestion complete by \| proteolytic enzymatic digestion complete in \| absorption by hydrolysis complete between 60 and 90 \| wound support can remain up to 42 days, however row 6 : tissue reaction \| moderate. plain catgut enjoys lower tissue reaction \| moderate \| None \| None row 7 : thread color \| straw \| brown \| violet and undyed \| violet and clear row 8 : size available \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us row 9 : advantages \| very high knot-pull tensile \| very high knot-pull tensile \| high initial tensile strength, guaranteed holding \| tensile strength retention, guaranteed holding power row 10 : contraindications \| not recommended for incisions that require the \| not recommended for an incision that requires sustaining \| this suture being absorbable should not be used \| this type of suture being absorbable is not ] Execute this SQL based on the above table: select count ( * ) where plain catgut = 'proteolytic enzymatic digestion complete by 90 days'	1
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select operators where year discontinued = 1941	central railroad of new jersey
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| jill sterkel \| united states \| 1:00.53 \| nr, gr row 2 : None \| lisa buese \| united states \| 1:00.59 \| None row 3 : None \| nancy garapick \| canada \| 1:02.96 \| None row 4 : 4 \| shelley cramer \| u.s. virgin islands \| 1:03.51 \| nr row 5 : 5 \| susan sloan \| canada \| 1:03.52 \| None row 6 : 6 \| maria paris \| costa rica \| 1:03.58 \| None row 7 : 7 \| rosanna juncos \| argentina \| 1:04.75 \| None row 8 : 8 \| adriana pereira \| brazil \| 1:06.79 \| None ] Execute this SQL based on the above table: select name where name in ( 'shelley cramer' , 'shelley cramer' ) order by rank asc limit 5	shelley cramer
[ header: representative \| state \| district(s) \| served \| party \| date of birth \| date of death \| age row 1 : william r. poage \| texas \| 11 \| 1937-1978 \| democratic \| december 29, 1899 \| january 3, 1987 \| 87 years, 5 days row 2 : aubert c. dunn \| mississippi \| 5 \| 1935-1937 \| democratic \| november 20, 1896 \| january 4, 1987 \| 90 years, 45 days row 3 : charles goodell \| new york \| 43, 38 \| 1959-1968 \| republican \| march 16, 1926 \| january 21, 1987 \| 60 years, 311 days row 4 : sala burton \| california \| 5 \| 1983-1987 \| democratic \| april 1, 1925 \| february 1, 1987 \| 61 years, 306 days row 5 : tim l. carter \| kentucky \| 5 \| 1965-1981 \| republican \| september 2, 1910 \| march 27, 1987 \| 76 years, 206 days row 6 : james g. donovan \| new york \| 18 \| 1951-1957 \| democratic \| december 15, 1898 \| april 6, 1987 \| 88 years, 112 days row 7 : edith green \| oregon \| 3 \| 1955-1974 \| democratic \| january 17, 1910 \| april 21, 1987 \| 77 years, 94 days row 8 : stewart mckinney \| connecticut \| 4 \| 1971-1987 \| republican \| january 30, 1931 \| may 7, 1987 \| 56 years, 97 days row 9 : james j. delaney \| new york \| 6, 7, 9 \| 1945-1947, 1949-1978 \| democratic \| march 19, 1901 \| may 24, 1987 \| 86 years, 66 days row 10 : frank carlson \| kansas \| 6 \| 1935-1947 \| republican \| january 23, 1893 \| may 30, 1987 \| 94 years, 127 days row 11 : alvin o'konski \| wisconsin \| 10 \| 1943-1973 \| republican \| may 26, 1904 \| july 8, 1987 \| 83 years, 43 days row 12 : dominick v. daniels \| new jersey \| 14 \| 1959-1977 \| democratic \| october 18, 1908 \| july 17, 1987 \| 78 years, 272 days row 13 : harold r. gross \| iowa \| 6 \| 1949-1975 \| republican \| june 30, 1899 \| september 22, 1987 \| 88 years, 84 days row 14 : john n. camp \| oklahoma \| 6 \| 1969-1975 \| republican \| may 11, 1908 \| september 27, 1987 \| 79 years, 139 days row 15 : ray j. madden \| indiana \| 1 \| 1943-1977 \| democratic \| february 25, 1892 \| september 28, 1987 \| 95 years, 215 days row 16 : raymond w. karst \| missouri \| 12 \| 1949-1951 \| democratic \| december 31, 1902 \| october 4, 1987 \| 84 years, 277 days row 17 : charles j. carney \| ohio \| 19 \| 1970-1979 \| republican \| april 17, 1913 \| october 7, 1987 \| 74 years, 173 days row 18 : clare boothe luce \| connecticut \| 4 \| 1943-1947 \| republican \| march 10, 1903 \| october 9, 1987 \| 84 years, 213 days row 19 : harold washington \| illinois \| 1 \| 1981-1983 \| democratic \| april 15, 1922 \| november 25, 1987 \| 65 years, 224 days row 20 : abraham kazen \| texas \| 23 \| 1967-1985 \| democratic \| january 17, 1919 \| november 29, 1987 \| 68 years, 316 days row 21 : albert p. morano \| connecticut \| 4 \| 1951-1959 \| republican \| january 18, 1908 \| december 16, 1987 \| 79 years, 332 days ] Execute this SQL based on the above table: select state where state != 'iowa' and age = ( select age where state = 'iowa' )	new york
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| netherlands \| 20 \| 9 \| 0 \| 29 row 2 : 2 \| italy \| 10 \| 15 \| 3 \| 28 row 3 : 3 \| belgium \| 1 \| 2 \| 6 \| 9 row 4 : 4 \| spain \| 1 \| 1 \| 13 \| 15 row 5 : 5 \| great britain \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| germany \| 0 \| 1 \| 7 \| 8 row 7 : 7 \| greece \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| russia \| 0 \| 1 \| 0 \| 1 row 9 : 9 \| sweden \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| france \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( * ) desc limit 1	sweden
[ header: year \| chairperson row 1 : 1905-1911 \| t.v. sivaraopan row 2 : 1912-1915 \| s. adinarayanara row 3 : 1915-1918 \| d. sankarasastrul row 4 : 1918-1921 \| shilpa bendi row 5 : 1921-1926 \| chattipurnayyapantul row 6 : 1926-1929 \| m.v. kamayyash row 7 : 1929-1931 \| h. suryanarayana row 8 : 1931-1938 \| m.v. ranganad row 9 : 1938-1942 \| challanarasimhanaidu row 10 : 1946-1949 \| b.v. ramanay row 11 : 1949-1952 \| gynatevenkatarao row 12 : 1952-1956 \| ippililaxminarayana row 13 : 1956-1961 \| pasagadasuryanarayana row 14 : 1962-1963 \| maturiramarao row 15 : 1963-1964 \| l. suryalingam row 16 : 1967-1970 \| m.a. ravuf row 17 : 1970-1972 \| ippilivenkatarao row 18 : 1981-1992 \| a.v. narasim row 19 : 1995-2000 \| dudabhavanisankar row 20 : 2000-2005 \| paidisettijayanthi row 21 : 2005-present \| m.v. padmavathi ] Execute this SQL based on the above table: select count ( * ) where chairperson = 'm.v. kamayyashetti'	1
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select sum ( position ) where player = 'patrick campbell'	0.0
[ header: community \| area \| location \| population \| date established row 1 : beaver lake 17 \| 49.4 hectares (122 acres) \| 78.4 km. southeast of hal \| 23 \| march 3, 1867 row 2 : cole harbour 30 \| 18.6 hectares (46 acres) \| 9.6 km. east of halifax \| 194 \| march 3, 1880 row 3 : millbrook 27 \| 302.0 hectares (746 acres) \| 8 km. south of truro \| 847 \| march 3, 1886 row 4 : sheet harbour 36 \| 32.7 hectares (81 acres) \| 91.2 km. northeast of halifax \| 15 \| march 3, 1915 row 5 : truro 27a \| 16.7 hectares (41 acres) \| joined south of truro town limit \| 0 \| march 3, 1904 row 6 : truro 27b \| 16.4 hectares (41 acres) \| joined with 27a on south \| 0 \| march 3, 1907 row 7 : truro 27c \| 9.5 hectares (23 acres) \| joined with 27b on south \| 0 \| march 3, 1909 ] Execute this SQL based on the above table: select date established order by population desc limit 1	march 3, 1886
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select notes order by grt - grt desc limit 1	us navy harbour tug
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select min ( peak chart positions nz )	9.0
[ header: service \| service id \| bit rate \| audio channels \| description \| analogue availability row 1 : capital yorkshire \| c3aa \| 128 kbit/s \| joint stereo \| dance and r'n'b \| 105.1 mhz (south row 2 : choice fm \| c0ce \| 128 kbit/s \| joint stereo \| r'n'b and hip-hop \| None row 3 : heart london \| cccd \| 128 kbit/s \| joint stereo \| adult contemporary \| None row 4 : gold \| c2ce \| 64 kbit/s \| mono lsf \| oldies, 60s, 70s, 80 \| None row 5 : real radio (yorkshire) \| c3a4 \| 128 kbit/s \| joint stereo \| contemporary \| 106.2 mhz (south row 6 : real radio xs \| c8c5 \| 128 kbit/s \| joint stereo \| classic rock \| None row 7 : ucb gospel \| ced0 \| 64 kbit/s \| mono lsf \| christian \| None row 8 : ucb inspirational \| cfd0 \| 64 kbit/s \| mono lsf \| christian \| None row 9 : xfm \| c0b8 \| 128 kbit/s \| joint stereo \| indie / alternative / rock music \| None row 10 : yorkshire radio \| cfcd \| 128 kbit/s \| joint stereo \| pop music and sport \| None row 11 : dab guide \| e1c000a9 \| 8 kbit/s \| data \| hidden service, epg data \| None ] Execute this SQL based on the above table: select service where service = 'gold'	gold
[ header: ethnicity \| islam \| christianity \| judaism \| buddhism \| other \| none / atheism \| row 1 : totals \| 70.20% \| 26.32% \| 0.03% \| 0.09% \| 0.02% \| 2.82% \| 0.51% row 2 : kazakh \| 98.34% \| 0.39% \| 0.02% \| 0.01% \| 0.02% \| 0.98% \| 0.26% row 3 : russian \| 1.43% \| 91.64% \| 0.04% \| 0.02% \| 0.03% \| 6.09% \| 0.75% row 4 : uzbek \| 99.05% \| 0.39% \| 0.01% \| 0.01% \| 0.02% \| 0.37% \| 0.16% row 5 : ukrainian \| 0.94% \| 90.74% \| 0.03% \| 0.01% \| 0.02% \| 7.31% \| 0.94% row 6 : uyghur \| 98.35% \| 0.51% \| 0.02% \| 0.01% \| 0.03% \| 0.61% \| 0.47% row 7 : tatar \| 79.57% \| 10.24% \| 0.02% \| 0.03% \| 0.06% \| 8.11% \| 1.97% row 8 : german \| 1.58% \| 81.59% \| 0.05% \| 0.04% \| 0.11% \| 13.96% \| 2.68% row 9 : korean \| 5.24% \| 49.35% \| 0.21% \| 11.40% \| 0.14% \| 28.51% \| 5.16% row 10 : turkish \| 99.13% \| 0.30% \| 0.01% \| 0.01% \| 0.02% \| 0.33% \| 0.21% row 11 : azeri \| 94.81% \| 2.51% \| 0.02% \| 0.02% \| 0.03% \| 1.86% \| 0.76% row 12 : belorussian \| 0.79% \| 90.16% \| 0.04% \| 0.01% \| 0.03% \| 7.82% \| 1.15% row 13 : dungan \| 98.93% \| 0.37% \| 0.01% \| 0.03% \| 0.04% \| 0.34% \| 0.28% row 14 : kurdish \| 98.28% \| 0.53% \| 0.03% \| 0.02% \| 0.02% \| 0.74% \| 0.38% row 15 : tajik \| 97.78% \| 0.91% \| 0.01% \| 0.02% \| 0.08% \| 0.85% \| 0.35% row 16 : polish \| 0.69% \| 90.07% \| 0.04% \| 0.01% \| 0.13% \| 7.30% \| 1.76% row 17 : chechen \| 93.69% \| 2.99% \| 0.02% \| 0.01% \| 0.05% \| 2.08% \| 1.16% row 18 : kyrgyz \| 96.67% \| 0.89% \| 0.03% \| 0.03% \| 0.02% \| 1.51% \| 0.86% row 19 : others \| 34.69% \| 52.32% \| 0.82% \| 0.91% \| 0.13% \| 8.44% \| 2.69% ] Execute this SQL based on the above table: select other where id = ( select id where other = '0.03%' ) + 1	0.02%
[ header: # \| title \| artist \| highest pos. reached \| weeks at no. 1 row 1 : 1 \| "don't cry for me argentin \| julie covington \| 1 \| 7 row 2 : 2 \| "the way you that you do it" \| pussyfoot \| 1 \| 7 row 3 : 3 \| "i just want to be your everything" \| andy gibb \| 1 \| 7 row 4 : 4 \| "that's rock and roll" \| shaun cassidy \| 2 \| None row 5 : 5 \| "living next door to alice" \| smokie \| 2 \| None row 6 : 6 \| "i go to rio" \| peter allen \| 1 \| 5 row 7 : 7 \| "torn between two lovers" \| mary mcgregor \| 1 \| 4 row 8 : 8 \| "walk right in" \| dr hook \| 1 \| 5 row 9 : 9 \| "you're moving out today" \| carole bayer sager \| 1 \| 4 row 10 : 10 \| "if you leave me now" \| chicago \| 1 \| 5 (pkd #1 in 76 row 11 : 11 \| "don't give up on us" \| david soul \| 1 \| 3 row 12 : 12 \| "lido shuffle" / " \| boz scaggs \| 2 \| None row 13 : 13 \| "you and me" \| alice cooper \| 2 \| None row 14 : 14 \| "dance little lady dance" \| tina charles \| 4 \| None row 15 : 15 \| "when i need you" \| leo sayer \| 8 \| None row 16 : 16 \| "don't fall in love" \| ferrets \| 2 \| None row 17 : 17 \| "i feel love" \| donna summer \| 1 \| 1 row 18 : 18 \| "help is on its way" \| little river band \| 1 \| 1 row 19 : 19 \| "you gotta get up and dance" \| supercharge \| 3 \| None row 20 : 20 \| "mull of kintyre" \| wings \| 1 \| 11 (pkd #1 in 77 row 21 : 21 \| "don't leave me this way" \| thelma houston \| 6 \| None row 22 : 22 \| "ain't gonna bump no more \| joe tex \| 2 \| None row 23 : 23 \| "you're in my heart" \| rod stewart \| 1 \| 1 row 24 : 24 \| "ma baker" \| boney m \| 5 \| None row 25 : 25 \| "lucille" \| kenny rogers \| 7 \| None ] Execute this SQL based on the above table: select count ( * ) where title = '"if you leave me now"'	1
[ header: interval name \| size (steps) \| size (cents) \| midi \| just ratio \| just (cents) \| midi \| error row 1 : perfect fifth \| 42 \| 700 \| play (help·info) \| 3:2 \| 701.96 \| play (help·info) \| -1.96 row 2 : tridecimal tritone \| 34 \| 566.67 \| play (help·info) \| 18:13 \| 563.38 \| None \| 3.28 row 3 : 11th harmonic \| 33 \| 550 \| play (help·info) \| 11:8 \| 551.32 \| play (help·info) \| -1.32 row 4 : (15:11) augmented fourth \| 32 \| 533.33 \| play (help·info) \| 15:11 \| 536.95 \| None \| -3.62 row 5 : perfect fourth \| 30 \| 500 \| play (help·info) \| 4:3 \| 498.04 \| play (help·info) \| 1.96 row 6 : septimal narrow fourth \| 28 \| 466.66 \| play (help·info) \| 21:16 \| 470.78 \| play (help·info) \| -4.11 row 7 : 17:13 narrow fourth \| 28 \| 466.66 \| play (help·info) \| 17:13 \| 464.43 \| None \| 2.24 row 8 : tridecimal major third \| 27 \| 450 \| play (help·info) \| 13:10 \| 454.21 \| play (help·info) \| -4.21 row 9 : septendecimal supermajor third \| 27 \| 450 \| play (help·info) \| 22:17 \| 446.36 \| None \| 3.64 row 10 : septimal major third \| 26 \| 433.33 \| play (help·info) \| 9:7 \| 435.08 \| play (help·info) \| -1.75 row 11 : undecimal major third \| 25 \| 416.67 \| play (help·info) \| 14:11 \| 417.51 \| play (help·info) \| -0.84 row 12 : major third \| 23 \| 383.33 \| play (help·info) \| 5:4 \| 386.31 \| play (help·info) \| -2.98 row 13 : neutral third \| 21 \| 350 \| play (help·info) \| 11:9 \| 347.41 \| play (help·info) \| 2.59 row 14 : septendecimal supraminor third \| 20 \| 333.33 \| None \| 17:14 \| 336.13 \| None \| -2.8 row 15 : minor third \| 19 \| 316.67 \| play (help·info) \| 6:5 \| 315.64 \| play (help·info) \| 1.03 row 16 : tridecimal minor third \| 17 \| 283.33 \| play (help·info) \| 13:11 \| 289.21 \| play (help·info) \| -5.88 row 17 : septimal minor third \| 16 \| 266.67 \| play (help·info) \| 7:6 \| 266.87 \| play (help·info) \| -0.2 row 18 : tridecimal 5/4 tone \| 15 \| 250 \| play (help·info) \| 15:13 \| 247.74 \| None \| 2.26 row 19 : whole tone, major tone \| 12 \| 200 \| play (help·info) \| 9:8 \| 203.91 \| play (help·info) \| -3.91 row 20 : whole tone, minor tone \| 11 \| 183.33 \| play (help·info) \| 10:9 \| 182.4 \| play (help·info) \| 0.93 row 21 : lesser undecimal neutral second \| 9 \| 150 \| play (help·info) \| 12:11 \| 150.64 \| play (help·info) \| -0.64 row 22 : greater tridecimal 2/3 tone \| 8 \| 133.33 \| None \| 13:12 \| 138.57 \| None \| -5.24 row 23 : great limma \| 8 \| 133.33 \| None \| 27:25 \| 133.24 \| None \| 0.09 row 24 : lesser tridecimal 2/3rd tone \| 8 \| 133.33 \| play (help·info) \| 14:13 \| 128.3 \| None \| 5.04 ] Execute this SQL based on the above table: select count ( midi ) where just ratio > 0	15
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select act where id = ( select id where percentage of votes = '32.6%' ) - 1	elvin
[ header: year \| title \| image \| dimensions \| collection \| comments row 1 : 1942 \| assassination of heydrich \| view \| 61.4 × 76.1 cm. (24.2 \| the national archives, kew, richmond \| subject: ss-general reinhard row 2 : 1944 \| production of tanks (original may have been untitled \| view \| 51.3 × 61.5 cm. (20.2 \| the national archives, kew, richmond \| scene: workers manufacture churchill tanks on a row 3 : 1968 \| express engines at tyseley, \| view view \| 75 × 100 cm. (29.5 × \| None \| scene: rolling stock-london, mid row 4 : 1972 \| field marshall viscount montgomery of \| view \| 125 × 100 cm. (49. \| defence academy of the united kingdom, shriven \| subject: field marshal bernard law row 5 : 1971 \| sir edward heath \| view \| 123 × 99 cm. (48. \| balliol college, university of o \| subject: sir edward heath row 6 : 1972 \| self portrait \| None \| None \| None \| None row 7 : None \| her majesty the queen with her dogs \| see cuneo society website \| None \| None \| subject: queen elizabeth row 8 : None \| bentley vs the blue train \| view see cuneo society website \| None \| None \| scene: 1930 cannes to calais ] Execute this SQL based on the above table: select image where year = 1942	view
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select entrant where 1 = ( select min ( 1 ) )	mild seven benetton
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select prize money (usd) - prize money (usd) where status = '3rd captured (by icey)'	0.0
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select displacement where note = 'chartered'	1,500 tonnes, 4,000 tonnes, 2,000 tonnes, 2,250 tonnes
[ header: # \| title \| producer(s) \| performer (s) \| sample(s) \| length row 1 : 1 \| "likwit" \| e-swift, th \| tash, j-ro, \| "ode to billy joe" \| 2:34 row 2 : 2 \| "only when i'm drunk" \| e-swift, th \| j-ro, tash, \| "seven minutes of funk" by \| 3:36 row 3 : 3 \| "last call" \| e-swift, king \| tash, j-ro, \| "the payback" by james brown \| 4:37 row 4 : 4 \| "can't tell me shit" \| derick "d. pimp" willi \| e-swift, j \| "think(about it)" by ly \| 4:09 row 5 : 5 \| "turn tha party out" \| lootpack, tha alka \| lootpack, tash, \| "synthetic substitution" by mel \| 3:19 row 6 : 6 \| "bullshit" \| king tee, e- \| j-ro, king t \| "it's a new day" by \| 3:27 row 7 : 7 \| "soda pop" \| e-swift, king \| e-swift, field trip \| "hard times" by baby huey "s \| 2:48 row 8 : 8 \| "make room" \| e-swift, th \| j-ro, tash \| "sing a simple song" by \| 3:28 row 9 : 9 \| "mary jane" \| lootpack, tha alka \| j-ro, tash \| "mary jane" by rick \| 3:31 row 10 : 10 \| "who dem niggas" \| e-swift, th \| threat, e-swift, \| "take me to the mardi gras" by \| 3:46 ] Execute this SQL based on the above table: select performer (s) where length > ( select length where performer (s) = 'threat, e-swift, j-ro, tash' ) order by length asc limit 1	tash, j-ro, e-swift
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select car(s) order by # desc limit 1	ford taurus
[ header: state \| no. of candidates \| no. of elected \| total no. of seats in assembly \| year of election row 1 : andhra pradesh \| 12 \| 6 \| 294 \| 2004 row 2 : assam \| 19 \| 1 \| 126 \| 2001 row 3 : bihar \| 153 \| 5 \| 324 \| 2000 row 4 : chhattisgarh \| 18 \| 0 \| 90 \| 2003 row 5 : delhi \| 2 \| 0 \| 70 \| 2003 row 6 : goa \| 3 \| 0 \| 40 \| 2002 row 7 : gujarat \| 1 \| 0 \| 181 \| 2002 row 8 : haryana \| 10 \| 0 \| 90 \| 2000 row 9 : himachal pradesh \| 7 \| 0 \| 68 \| 2003 row 10 : jammu and kashmir \| 5 \| 0 \| 87 \| 2002 row 11 : karnataka \| 5 \| 0 \| 224 \| 2004 row 12 : kerala \| 22 \| 17 \| 140 \| 2006 row 13 : madhya pradesh \| 17 \| 0 \| 230 \| 2003 row 14 : maharashtra \| 19 \| 0 \| 288 \| 1999 row 15 : manipur \| 16 \| 4 \| 60 \| 2006 row 16 : meghalaya \| 3 \| 0 \| 60 \| 2003 row 17 : mizoram \| 4 \| 0 \| 40 \| 2003 row 18 : odisha \| 6 \| 1 \| 147 \| 2004 row 19 : puducherry \| 2 \| 0 \| 30 \| 2001 row 20 : punjab \| 11 \| 0 \| 117 \| 2006 row 21 : rajasthan \| 15 \| 0 \| 200 \| 2003 row 22 : tamil nadu \| 8 \| 6 \| 234 \| 2006 row 23 : tripura \| 2 \| 1 \| 60 \| 2003 row 24 : uttar pradesh \| 5 \| 0 \| 402 \| 2002 row 25 : uttarakhand \| 14 \| 0 \| 70 \| 2002 row 26 : west bengal \| 13 \| 8 \| 294 \| 2006 ] Execute this SQL based on the above table: select state group by state order by count ( * ) desc limit 1	west bengal
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select launch date where id = ( select id where launch date = '24 october 2011' ) - 1	18 october 2010
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where silver > ( select silver where nation = 'morocco' ) order by silver limit 1	algeria
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select ( select rank where studio = 'paramount' ) > ( select rank where studio = 'vestron' )	0
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select boat # order by boat # desc limit 1	4958 - 4989
[ header: year \| driver \| co-driver \| car \| notes row 1 : 1996 \| karim hirji \| frank nekusa \| toyota celica st \| run under fia rules as the great lakes rally row 2 : 1997 \| chipper adams \| justin beyendeza \| toyota supra \| run as the pearl of africa uganda row 3 : 1998 \| charles muhangi \| steven byaruhanga \| subaru impreza \| None row 4 : 1999 \| chipper adams \| justin beyendeza \| toyota supra \| None row 5 : 2000 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 6 : 2001 \| None \| None \| None \| event not run row 7 : 2002 \| johnny gemmel \| robert paisley \| subaru impreza wrx \| None row 8 : 2003 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 9 : 2004 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 10 : 2005 \| riyaz kurji \| sayed kadri \| subaru impreza n10 \| None row 11 : 2006 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| crew run under kenyan licence row 12 : 2007 \| conrad rautenbach \| peter marsh \| subaru impreza n10 \| None row 13 : 2008 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 14 : 2009 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| price granted posthumously row 15 : 2010 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 16 : 2011 \| ponsiano lwakataka \| musa nsubuga \| subaru impreza n8 \| None row 17 : 2012 \| mohammed essa \| greg stead \| subaru impreza n12 \| None row 18 : 2013 \| jas mangat \| gihan de silva \| mitsubishi lancer evo x \| None ] Execute this SQL based on the above table: select year where co-driver = 'musa nsubuga'	2011
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select min ( year ) where original title = 'ordet'	1955
[ header: tramway \| country \| city \| height of pylons \| span width, leaning straight line \| span width, horizontal measurement \| height of cable over ground \| year of inauguration \| notes row 1 : peak 2 peak gondola \| canada \| whistler \| 65m \| 3024 m \| 3019 m \| 436 m \| 2008 \| 3s aerial tramway constructed by doppel row 2 : hut of regensburg material transport aerial railway \| austria \| falbeson \| None \| None \| None \| 430 m \| None \| None row 3 : vanoise express \| france \| vanoise \| none \| 1850 m \| 1800 m \| 380 m \| 2003 \| None row 4 : aiguille du midi \| france \| chamonix \| none \| 2867 m \| 2500 m \| None \| 1955 \| 2nd section row 5 : vallee blanche aerial tramway \| france \| mont blanc \| none \| 2831 m, 1684 m \| span is almost horizontal \| appr. 300 m \| 1958 \| rock anchored support structure row 6 : 3s aerial tramway \| austria \| kitzbuhel \| 0 m, 80m \| 2507 m \| None \| 400 m \| 2004 \| None row 7 : sandia peak tramway \| usa \| albuquerque \| 70.7 m, 21.33 m \| 2353 m \| None \| 274 m \| 1966 \| None row 8 : feldmoos-chli-tit \| switzerland \| titlis \| 37.6 m \| 3476,2 m \| None \| None \| 1979 \| temp. site tramway, demolished in ] Execute this SQL based on the above table: select count ( * ) where tramway = 'aiguille du midi' and country = 360	0
[ header: place \| team \| matches \| won \| drawn \| lost \| difference \| points row 1 : 1 \| canada \| 6 \| 6 \| 0 \| 0 \| 62-6 \| 12 row 2 : 2 \| sweden \| 6 \| 4 \| 1 \| 1 \| 33-14 \| 9 row 3 : 3 \| switzerland \| 6 \| 4 \| 1 \| 1 \| 28-12 \| 9 row 4 : 4 \| norway \| 6 \| 2 \| 0 \| 4 \| 10-27 \| 4 row 5 : 5 \| great britain \| 6 \| 1 \| 1 \| 4 \| 18-42 \| 3 row 6 : 6 \| united states \| 6 \| 1 \| 1 \| 4 \| 14-42 \| 3 row 7 : 7 \| finland \| 6 \| 1 \| 0 \| 5 \| 15-37 \| 2 ] Execute this SQL based on the above table: select team where id = 6	united states
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select date no. retired order by no. desc limit 1	february 6, 2000
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish order by year desc limit 1	1
[ header: year \| album \| song \| duration \| artist row 1 : 2010 \| trax mini album volume up \| "healing" \| None \| with trax row 2 : 2010 \| oh! \| "boys & girls" \| None \| with girls' generation row 3 : 2010 \| 1st asia tour "into the \| "barbie girl" \| None \| duet with jessica row 4 : 2012 \| history of salary man ost \| "bravo" \| 03:12 \| duet with leeteuk row 5 : 2012 \| one dream (single) \| "one dream" \| 02:29 \| with boa & henry row 6 : 2012 \| mama \| "two moons" \| 02:59 \| with exo row 7 : 2012 \| only one \| "one dream" \| 02:29 \| with boa & henry row 8 : 2014 \| toheart \| "delicious" \| None \| duet with woohyun from infinite ] Execute this SQL based on the above table: select song where song < 1145	"healing", "boys & girls", "barbie girl", "bravo", "one dream", "two moons", "one dream", "delicious"
[ header: season \| age \| overall \| slalom \| giant slalom \| super g \| downhill \| combined row 1 : 1967 \| 16 \| 27 \| 19 \| None \| not run \| None \| not awarded row 2 : 1968 \| 17 \| 12 \| 11 \| 8 \| not run \| None \| not awarded row 3 : 1969 \| 18 \| 7 \| 4 \| 11 \| not run \| 5 \| not awarded row 4 : 1970 \| 19 \| 11 \| 8 \| 10 \| not run \| 12 \| not awarded row 5 : 1971 \| 20 \| 14 \| 13 \| 9 \| not run \| 15 \| not awarded row 6 : 1972 \| 21 \| 6 \| 4 \| 7 \| not run \| 10 \| not awarded row 7 : 1973 \| 22 \| 4 \| 2 \| 8 \| not run \| 9 \| not awarded row 8 : 1974 \| 23 \| 7 \| 2 \| 13 \| not run \| 11 \| not awarded row 9 : 1975 \| 24 \| 3 \| 7 \| 7 \| not run \| 6 \| not awarded row 10 : 1976 \| 25 \| 1 \| 1 \| 3 \| not run \| 9 \| 1 ] Execute this SQL based on the above table: select combined order by super g desc limit 1	not awarded
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select count ( metropolitan area ) where metropolitan area > 1329	41
[ header: team \| year \| regular season won \| regular season lost \| regular season ties \| regular season win % \| regular season finish \| post season won \| post season lost \| post season win % \| post season result row 1 : den \| 1981 \| 10 \| 6 \| 0 \| 0.625 \| 2nd in afc west \| None \| None \| None \| None row 2 : den \| 1982 \| 2 \| 7 \| 0 \| 0.222 \| 5th in afc west \| None \| None \| None \| None row 3 : den \| 1983 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in afc west \| 0 \| 1 \| 0 \| lost to seattle seahawks in a row 4 : den \| 1984 \| 13 \| 3 \| 0 \| 0.813 \| 1st in afc west \| 0 \| 1 \| 0 \| lost to pittsburgh steelers in row 5 : den \| 1985 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in afc west \| None \| None \| None \| None row 6 : den \| 1986 \| 11 \| 5 \| 0 \| 0.688 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to new york giants in super bowl row 7 : den \| 1987 \| 10 \| 4 \| 1 \| 0.714 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to washington redskins in super bowl row 8 : den \| 1988 \| 8 \| 8 \| 0 \| 0.5 \| 2nd in afc west \| None \| None \| None \| None row 9 : den \| 1990 \| 5 \| 11 \| 0 \| 0.313 \| 5th in afc west \| None \| None \| None \| None row 10 : den total \| den total \| 110 \| 73 \| 1 \| 0.601 \| None \| 7 \| 6 \| 0.538 \| None row 11 : nyg \| 1993 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in nfc east \| 1 \| 1 \| 0.5 \| lost to san francisco 49ers row 12 : nyg \| 1994 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in nfc east \| None \| None \| None \| None row 13 : nyg \| 1995 \| 5 \| 11 \| 0 \| 0.313 \| 4th in nfc east \| None \| None \| None \| None row 14 : nyg \| 1996 \| 6 \| 10 \| 0 \| 0.375 \| 5th in nfc east \| None \| None \| None \| None row 15 : nyg total \| nyg total \| 31 \| 33 \| 0 \| 0.484 \| None \| 1 \| 1 \| 0.5 \| None row 16 : atl \| 1997 \| 7 \| 9 \| 0 \| 0.438 \| 2nd in nfc west \| None \| None \| None \| None row 17 : atl \| 2000 \| 4 \| 12 \| 0 \| 0.25 \| 5th in nfc west \| None \| None \| None \| None row 18 : atl \| 2001 \| 7 \| 9 \| 0 \| 0.438 \| 3rd in nfc south \| None \| None \| None \| None row 19 : atl \| 2002 \| 9 \| 6 \| 1 \| 0.594 \| 2nd in nfc south \| 1 \| 1 \| 0.5 \| lost to philadelphia ea row 20 : atl \| 2003 \| 3 \| 10 \| 0 \| 0.231 \| 4th in nfc south \| None \| None \| None \| None row 21 : atl total \| atl total \| 49 \| 59 \| 1 \| 0.454 \| None \| 3 \| 2 \| 0.6 \| None row 22 : total \| total \| 190 \| 165 \| 2 \| 0.535 \| None \| 11 \| 9 \| 0.55 \| None ] Execute this SQL based on the above table: select regular season finish where regular season finish in ( '4th in nfc south' , 'None' ) order by post season lost desc limit 1	4th in nfc south
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select description where description = 'violent deaths' order by description desc limit 1	violent deaths
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select notes - event where position = '5th'	-19.0, -19.0
[ header: rank \| heat \| country \| cyclists \| result \| notes row 1 : 1 \| 6 \| great britain \| chris hoy jason kenn \| 42.95 \| q, wr row 2 : 2 \| 7 \| france \| gregory bauge kevin \| 43.541 \| q row 3 : 3 \| 6 \| germany \| rene enders maximilian \| 44.197 \| q row 4 : 4 \| 7 \| netherlands \| theo bos teun mul \| 44.213 \| q row 5 : 5 \| 5 \| australia \| daniel ellis mark french \| 44.335 \| q row 6 : 6 \| 1 \| japan \| kiyofumi nagai \| 44.454 \| q row 7 : 7 \| 3 \| malaysia \| azizulhasni awang jos \| 44.752 \| q row 8 : 8 \| 2 \| united states \| michael blatchford \| 45.346 \| q row 9 : 9 \| 4 \| china \| feng yong li we \| 45.556 \| None row 10 : 10 \| 3 \| greece \| athanasios mantz \| 45.645 \| None row 11 : 11 \| 2 \| czech republic \| tomas babek adam \| 45.678 \| None row 12 : 12 \| 5 \| russia \| sergey polynskiy denis \| 45.964 \| None row 13 : 13 \| 1 \| poland \| maciej bielecki kamil \| 45.266 \| None ] Execute this SQL based on the above table: select country order by country asc limit 1	australia
[ header: name \| service \| rank \| role and unit \| date of award \| notes \| image row 1 : erdmann gabriel \| heer \| oberfeldwebel \| platoon leader in the ii. \| 30 august 1941 \| None \| row 2 : georg gartner \| heer \| hauptmann \| commander of the i./sturm- \| 21 september 1944 \| None \| row 3 : otto gaillinger \| heer \| oberleutnant \| leader of the 1./infanterie-bat \| 8 october 1943 \| killed in action 29 september 1943 \| row 4 : wilhelm gaißer \| heer \| leutnant of the reserves \| leader of the 1./grenadier- \| 17 march 1945 \| None \| row 5 : adolf galland \| luftwaffe \| major \| gruppenkommandeur of the i \| 29 july 1940 \| awarded 3rd oak leaves 24 september 1940 \| row 6 : franz gapp \| luftwaffe \| oberfeldwebel \| pilot in the 8./kampfgeschwader \| 18 september 1943 \| None \| row 7 : heinrich gath \| heer \| stabsfeldwebel \| platoon leader in the 2./panzer \| 11 october 1943 \| None \| row 8 : alfred gause \| heer \| generalmajor \| chief of the generalstab of the panzer \| 13 december 1941 \| None \| row 9 : gebhard? \| waffen-ss \| ss-oberscharfuhrer \| platoon leader in the 2./ss \| 6 may 1945 \| None \| row 10 : oskar genrich \| luftwaffe \| oberleutnant \| pilot in the 2.(f)/aufkla \| 3 november 1942 \| None \| row 11 : karl-heinz giff \| heer \| leutnant of the reserves \| vorgeschobener beobachter ( \| 18 november 1944 \| None \| row 12 : hans gobel \| heer \| hauptmann \| commander of the ii./grena \| 29 april 1945 \| None \| row 13 : siegwart goller? \| heer \| hauptmann of the reserves \| commander of the ii./gebir \| 9 may 1945 \| None \| row 14 : helmut gortz \| luftwaffe \| feldwebel \| platoon leader in the 3./fallschirm \| 24 may 1940 \| None \| row 15 : franz gotz \| luftwaffe \| oberleutnant \| staffelkapitan of the 9./ \| 4 september 1942 \| None \| row 16 : albert graf von der goltz \| heer \| major of the reserves \| commander of the i./infanterie \| 7 may 1942 \| awarded 316th oak leaves 2 november \| row 17 : heinz graeber \| luftwaffe \| oberfeldwebel \| radio operator in the 15./kampfgeschwa \| 30 september 1943 \| None \| ] Execute this SQL based on the above table: select role and unit where role and unit in ( 'vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)' , 'vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)' ) group by role and unit order by sum ( name - notes ) desc limit 1	vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)
[ header: tournament \| games played \| points per game \| rebounds per game \| assists per game row 1 : 2003 eurobasket \| 6 \| 6.8 \| 5.3 \| 0.7 row 2 : 2005 eurobasket \| 7 \| 7.6 \| 7.1 \| 0.6 row 3 : 2006 fiba world championship \| 9 \| 9.7 \| 6.7 \| 0.6 row 4 : 2007 eurobasket \| 7 \| 8.9 \| 3.7 \| 0.6 row 5 : 2009 eurobasket \| 8 \| 6.5 \| 2.9 \| 1.1 row 6 : 2010 fiba world championship \| 4 \| 4.5 \| 4.8 \| 1.5 row 7 : 2011 eurobasket \| 11 \| 2.6 \| 3.4 \| 0.8 row 8 : 2012 olympics \| 6 \| 4.5 \| 2.8 \| 0.5 row 9 : 2013 eurobasket \| 11 \| 1.9 \| 3.5 \| 0.2 ] Execute this SQL based on the above table: select tournament where tournament in ( '2005 eurobasket' , '2009 eurobasket' ) order by games played desc limit 1	2009 eurobasket
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select count ( name ) where name != 'lumsden' and name = ( select name where name = 'lumsden' )	0
[ header: year \| chassis \| engine \| start \| finish row 1 : 1974 \| eagle \| offy \| 21st \| 7th row 2 : 1975 \| eagle \| offy \| 18th \| 4th row 3 : 1976 \| eagle \| offy \| 6th \| 5th row 4 : 1977 \| eagle \| offy \| 8th \| 15th row 5 : 1978 \| lighning \| cosworth \| 21st \| 24th row 6 : 1979 \| lighning \| cosworth \| 17th \| 20th row 7 : 1980 \| penske \| cosworth \| 8th \| 6th row 8 : 1981 \| penske \| cosworth \| 10th \| 28th row 9 : 1982 \| march \| cosworth \| 10th \| 3rd row 10 : 1983 \| march \| cosworth \| 14th \| 7th row 11 : 1984 \| march \| cosworth \| 21st \| 19th row 12 : 1985 \| march \| buick \| 1st \| 33rd row 13 : 1986 \| lola \| cosworth \| 14th \| 16th row 14 : 1987 \| march \| cosworth \| 29th \| 27th row 15 : 1988 \| march \| buick \| qualifying crash \| None row 16 : 1989 \| lola \| cosworth \| 32nd \| 22nd row 17 : 1990 \| lola \| cosworth \| 22nd \| 29th row 18 : 1991 \| lola \| buick \| 32nd \| 21st row 19 : 1992 \| lola \| buick \| failed to qualify \| None row 20 : 1994 \| lola \| chevrolet \| failed to qualify \| None ] Execute this SQL based on the above table: select count ( distinct finish ) where finish != '21st'	15
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| peak chart positions uk \| certifications \| album row 1 : "can't you see" (total \| 1995 \| 13 \| 3 \| None \| 43 \| riaa: gold \| total row 2 : "player's anthem" (with \| 1995 \| 13 \| 7 \| 2 \| None \| riaa: gold \| conspiracy row 3 : "this time around" (michae \| 1995 \| None \| None \| None \| None \| None \| history row 4 : "you can't stop the reign" ( \| 1996 \| None \| None \| None \| 40 \| None \| you can't stop the reign row 5 : "only you" (112 featuring the notorious \| 1996 \| 13 \| 3 \| None \| None \| riaa: gold \| 112 row 6 : "get money" (with junior m. \| 1996 \| 17 \| 4 \| 1 \| 63 \| riaa: platinum \| conspiracy row 7 : "crush on you" (lil' \| 1996 \| 6 \| None \| 1 \| 36 \| None \| hard core row 8 : "stop the gunfight" (trapp featuring \| 1997 \| 77 \| 35 \| 9 \| None \| None \| stop the gunfight row 9 : "be the realist" (trapp featuring \| 1997 \| None \| 65 \| 14 \| None \| None \| stop the gunfight row 10 : "been around the world" (puff \| 1997 \| 2 \| 7 \| 1 \| 4 \| None \| no way out row 11 : "it's all about the benja \| 1997 \| 2 \| 7 \| 1 \| 20 \| None \| no way out row 12 : "victory" (puff daddy featuring \| 1998 \| 19 \| 13 \| 2 \| None \| None \| no way out row 13 : "runnin' (dying to live \| 2004 \| 19 \| 11 \| 5 \| 17 \| None \| tupac: resurrection row 14 : "angels" (diddy-dir \| 2009 \| 116 \| 71 \| None \| None \| None \| last train to paris ] Execute this SQL based on the above table: select ( select certifications where peak chart positions us rap = 2 ) - ( select certifications where peak chart positions us rap = 2 )	0
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select city where city in ( 'serravalle scrivia' , 'valenza' ) order by altitude (mslm) desc limit 1	serravalle scrivia
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select points order by races desc limit 1	60
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select sum ( team ) where team = 'corinthians'	0.0
[ header: \| name \| nation \| points \| games \| pts/game row 1 : 1 \| karen andrew \| england \| 44 \| 5 \| 8.8 row 2 : 2 \| daniella waterman \| england \| 40 \| 5 \| 8 row 3 : 3 \| christelle le duff \| france \| 33 \| 5 \| 6.6 row 4 : 4 \| charlotte barras \| england \| 30 \| 5 \| 6 row 5 : 5 \| naomi thomas \| wales \| 25 \| 5 \| 5 row 6 : 6 \| susan day \| england \| 20 \| 5 \| 4 row 7 : 7 \| lucy millard \| scotland \| 20 \| 5 \| 4 row 8 : 8 \| veronica schiavon \| italy \| 19 \| 4 \| 4.75 row 9 : 9 \| estelle sartini \| france \| 17 \| 5 \| 3.4 row 10 : 10 \| margaret alphonsie \| england \| 15 \| 5 \| 3 row 11 : 11 \| fanny horta \| france \| 15 \| 5 \| 3 row 12 : 12 \| jeannette feighery \| ireland \| 15 \| 5 \| 3 row 13 : 13 \| non evans \| wales \| 14 \| 3 \| 4.67 row 14 : 14 \| lynsey harley \| scotland \| 12 \| 2 \| 6 row 15 : 15 \| delphine plantet \| france \| 10 \| 5 \| 2 row 16 : 16 \| joanne o'sullivan \| ireland \| 10 \| 5 \| 2 row 17 : 17 \| katy mclean \| england \| 9 \| 3 \| 3 row 18 : 18 \| michela tondinelli \| italy \| 6 \| 5 \| 1.2 row 19 : 19 \| georgia stevens \| england \| 5 \| 5 \| 1 row 20 : 20 \| mel berry \| wales \| 5 \| 5 \| 1 ] Execute this SQL based on the above table: select count ( distinct name )	20
[ header: iso/iec standard \| title \| status \| description \| wg row 1 : iso/iec tr 1975 \| software engineering - guide to the software engineering body \| published (2005) \| identifies and describes the subset of body \| 20 row 2 : iso/iec 15288 \| systems and software engineering - system life cycle processes \| published (2008) \| establishes a common framework for describing \| 7 row 3 : iso/iec 12207 \| systems and software engineering - software life cycle processes \| published (2008) \| establishes a common framework for software life \| 7 row 4 : iso/iec 20000-1 \| information technology - service management - part 1 \| published (2011) \| specifies requirements for the service provider to plan, \| 25 row 5 : iso/iec 15504-1 \| information technology - process assessment - part 1 \| published (2004) \| provides overall information on the concepts of process assessment and \| 10 row 6 : iso/iec/iee \| systems and software engineering - architecture description \| published (2011) \| addresses the creation, analysis, and sustainment of \| 42 row 7 : iso/iec tr 29 \| software engineering - lifecycle profiles for very small \| published (2011) \| introduces the characteristics and requirements of a \| 24 row 8 : iso/iec tr 9 \| software engineering - product quality - part 2 \| published (2003) \| provides external metrics for measuring attributes of six external quality \| None row 9 : iso/iec 10746-1 \| information technology - open distributed processing - reference \| published (1998) \| provides: an introduction and motivation for od \| 19 row 10 : iso/iec 19770-1 \| information technology - software asset management - part \| published (2012) \| establishes a baseline for an integrated set \| 21 row 11 : iso/iec/iee \| systems and software engineering - requirements for managers of \| published (2011) \| specifies procedures for managing user documentation throughout the software \| 2 row 12 : iso/iec/iee \| systems and software engineering -- requirements for acquirers \| published (2011) \| defines the documentation process from the acquirer's \| 2 row 13 : iso/iec/iee \| systems and software engineering - requirements for testers \| published (2009) \| defines the process in which user documentation products are tested \| 2 row 14 : iso/iec/iee \| systems and software engineering - requirements for designers and \| published (2008) \| specifies the structure, content, and format for \| 2 row 15 : iso/iec/iee \| systems and software engineering - developing user documentation in \| published (2011) \| specifies the way in which user documentation can be \| 2 ] Execute this SQL based on the above table: select title order by wg desc limit 1	systems and software engineering - architecture description
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| los perros del mal (bestia \| 1 \| november 28, 2010 \| 311 \| cuautitlan izcalli \| iwl house show \| los perros del mal defeated los traumas row 2 : None \| vacated \| None \| october 5, 2011 \| None \| tlalnepantla, \| announced on iwl official's facebook \| after bestia 666 and x- row 3 : 2 \| scorpio, jr. \| 1 \| october 22, 2011 \| 580 \| tlalnepantla, \| iwl oktoberfest \| scorpio, jr. row 4 : None \| vacated \| None \| may 2011 \| None \| None \| announced on iwl official's facebook \| None row 5 : 3 \| ultimo gladiador and ul \| 1 \| june 16, 2013 \| 145 \| huehuetoca, state of me \| iwl oktoberfest \| defeated los piratas (hijo de row 6 : None \| vacated \| None \| november 5, 2011 \| None \| None \| the iwl explained that ultim \| None row 7 : 4 \| dinamic black & freser \| 1 \| november 5, 2013 \| 231 \| hidalgo, state of mexico \| live event \| defeated mascara jr. & ul ] Execute this SQL based on the above table: select date where date > 1468	may 2011
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select count ( ) where = 'ec'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 18 march 1987 \| stadion miejski, \| finland \| 2-0 \| 3-1 \| international friendly row 2 : 2 \| 2 september 1987 \| zawisza bydgosz \| romania \| 1-0 \| 3-1 \| international friendly row 3 : 3 \| 2 september 1987 \| zawisza bydgosz \| romania \| 3-0 \| 3-1 \| international friendly row 4 : 4 \| 23 september 1987 \| polish army stadium, warsaw, poland \| hungary \| 3-1 \| 3-2 \| uefa euro 1988 qualifying row 5 : 5 \| 11 november 1987 \| makario stadium, nicosi \| cyprus \| 0-1 \| 0-1 \| uefa euro 1988 qualifying row 6 : 6 \| 13 april 1993 \| stadion radomiaka rado \| finland \| 1-0 \| 2-1 \| international friendly row 7 : 7 \| 13 april 1993 \| stadion radomiaka rado \| finland \| 2-0 \| 2-1 \| international friendly row 8 : 8 \| 19 may 1993 \| stadio olimpico, ser \| san marino \| 0-1 \| 0-3 \| 1994 fifa world cup qualification row 9 : 9 \| 19 may 1993 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-3 \| 1994 fifa world cup qualification row 10 : 10 \| 17 november 1993 \| stadion miejski, \| netherlands \| 1-1 \| 1-3 \| 1994 fifa world cup qualification ] Execute this SQL based on the above table: select date order by result desc limit 1	18 march 1987
[ header: match \| date \| ground \| opponent \| score1 \| pos. \| pts. \| gd row 1 : 2 \| 22 august \| h \| 1. fc kaiserslau \| 1 - 0 \| 1 \| 4 \| 4 row 2 : 4 \| 29 august \| h \| dynamo dresden \| 3 - 1 \| 1 \| 6 \| 6 row 3 : 5 \| 2 september \| a \| 1. fc koln \| 3 - 1 \| 1 \| 8 \| 8 row 4 : 6 \| 5 september \| h \| hamburger sv \| 4 - 0 \| 1 \| 10 \| 12 row 5 : 7 \| 19 september \| h \| sg wattenscheid 09 \| 1 - 1 \| 1 \| 11 \| 12 row 6 : 8 \| 25 september \| a \| borussia dortmund \| 2 - 1 \| 1 \| 13 \| 13 row 7 : 9 \| 3 october \| h \| borussia monchengladbach \| 2 - 2 \| 1 \| 14 \| 13 row 8 : 10 \| 17 october \| a \| 1. fc saarbrucken \| 1 - 1 \| 1 \| 15 \| 13 row 9 : 11 \| 24 october \| h \| werder bremen \| 1 - 3 \| 1 \| 15 \| 11 row 10 : 3 \| 27 october \| a \| eintracht frankfurt \| 1 - 1 \| 1 \| 16 \| 11 row 11 : 12 \| 31 october \| a \| vfb stuttgart \| 3 - 2 \| 1 \| 18 \| 12 row 12 : 14 \| 21 november \| a \| bayer leverkusen \| 4 - 2 \| 1 \| 22 \| 15 row 13 : 15 \| 28 november \| h \| karlsruher sc \| 3 - 3 \| 1 \| 23 \| 15 row 14 : 16 \| 5 december \| a \| vfl bochum \| 2 - 2 \| 1 \| 24 \| 15 row 15 : 19 \| 27 february \| a \| 1. fc kaiserslau \| 3 - 1 \| 1 \| 29 \| 19 row 16 : 20 \| 6 march \| h \| eintracht frankfurt \| 1 - 0 \| 1 \| 31 \| 20 row 17 : 22 \| 20 march \| h \| 1. fc koln \| 3 - 0 \| 1 \| 34 \| 23 row 18 : 23 \| 28 march \| a \| hamburger sv \| 1 - 3 \| 1 \| 34 \| 21 row 19 : 24 \| 2 april \| a \| sg wattenscheid 09 \| 0 - 2 \| 1 \| 34 \| 19 row 20 : 25 \| 10 april \| h \| borussia dortmund \| 2 - 0 \| 1 \| 36 \| 21 row 21 : 26 \| 17 april \| a \| borussia monchengladbach \| 2 - 2 \| 1 \| 37 \| 21 row 22 : 27 \| 23 april \| h \| 1. fc saarbrucken \| 6 - 0 \| 1 \| 39 \| 27 row 23 : 28 \| 26 april \| a \| werder bremen \| 1 - 4 \| 1 \| 39 \| 24 row 24 : 30 \| 8 may \| a \| 1. fc nurnberg \| 0 - 0 \| 1 \| 42 \| 26 row 25 : 31 \| 15 may \| h \| bayer leverkusen \| 4 - 1 \| 1 \| 44 \| 29 row 26 : 32 \| 23 may \| a \| karlsruher sc \| 2 - 4 \| 1 \| 44 \| 27 row 27 : 33 \| 29 may \| h \| vfl bochum \| 3 - 1 \| 2 \| 46 \| 29 row 28 : 34 \| 5 june \| a \| schalke 04 \| 3 - 3 \| 2 \| 47 \| 29 ] Execute this SQL based on the above table: select score1 where score1 in ( '2 - 4' , '2 - 2' ) group by score1 order by count ( * ) desc limit 1	2 - 2
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| netherlands \| 20 \| 9 \| 0 \| 29 row 2 : 2 \| italy \| 10 \| 15 \| 3 \| 28 row 3 : 3 \| belgium \| 1 \| 2 \| 6 \| 9 row 4 : 4 \| spain \| 1 \| 1 \| 13 \| 15 row 5 : 5 \| great britain \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| germany \| 0 \| 1 \| 7 \| 8 row 7 : 7 \| greece \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| russia \| 0 \| 1 \| 0 \| 1 row 9 : 9 \| sweden \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| france \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where total > ( select total where nation = 'great britain' ) order by total asc limit 1	germany
[ header: tie no \| home team \| score \| away team row 1 : 50 \| sjomarkens if (d \| 1-4 \| bk slatta damm ( row 2 : 53 \| falkopings fk (d4) \| 2-0 \| ganghesters sk (d row 3 : 56 \| lindas bk (d4) \| 1-3 \| hultsfreds f row 4 : 58 \| bredaryds ik ( \| 3-0 \| ulricehamns ifk ( row 5 : 59 \| hovslatts ik \| 0-9 \| tidaholms g row 6 : 60 \| torpa ais (d4) \| 0-2 \| bk zeros (d3) row 7 : 61 \| fiskeby if (wc) \| 2-1 (gg) \| vasterviks ff (d4) row 8 : 62 \| gnosjo if (d4) \| 1-3 \| skovde aik (d row 9 : 63 \| savsjo ff ( \| 5-3 \| skillingaryds is (d4) row 10 : 65 \| lsw if (d4) \| 2-1 \| husqvarna ff (d row 11 : 67 \| rorviks if (d4) \| 0-2 \| lunds bk (d2) row 12 : 69 \| if eksjo (d4) \| 1-4 \| kalmar ff (d2) row 13 : 71 \| bankeryds sk (d4) \| 4-1 \| hjulsbro ik ( row 14 : 73 \| gullspangs if ( \| 0-7 \| rynninge ik (d3) row 15 : 74 \| skara fc (d4) \| 0-4 \| karlslunds if ( row 16 : 75 \| bratens ik (d4) \| 0-4 \| vivalla-lundby if row 17 : 76 \| finnerodja if(d4) \| 3-1 \| ifk mariestad (d4) row 18 : 77 \| skollersta if (d4) \| 1-3 \| hemgardarnas bk (d row 19 : 78 \| simonstorps if (d4) \| 0-5 \| nykopings bis (d2) row 20 : 82 \| harad if (d4) \| 2-3 (gg) \| ifk vasteras (d2) row 21 : 83 \| kolsva if (d4) \| 0-3 \| karlstad bk (d row 22 : 85 \| ransta ik (d4) \| 1-3 \| ifk hallsberg (d4) row 23 : 86 \| skyllbergs ik (wc \| 0-4 \| ifk kristinehamn ( row 24 : 87 \| filipstads ff (d \| 3-1 \| kungsors sk ( row 25 : 89 \| bk hird (d4) \| 0-5 \| hargs bk (d2) row 26 : 91 \| frovi ik (wc) \| 1-9 \| skiljebo sk (d row 27 : 95 \| new mill ff (wc) \| 4-2 \| vartans sk (d3) ] Execute this SQL based on the above table: select sum ( tie no )	1945.0
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select sport where sport in ( 'wisconsin rugby club' , '16 varsity teams' ) order by established asc limit 1	16 varsity teams
[ header: sr. no. \| name \| from \| till \| occupation row 1 : 1 \| padamvir singh \| 2009 \| current \| ias row 2 : 2 \| rudhra gangadhara \| 06/04/2006 \| 02/09/2009 \| ias row 3 : 3 \| d.s. mathur \| 29/10/2004 \| 06/04/2006 \| ias row 4 : 4 \| binod kumar \| 20/01/2003 \| 15/10/2004 \| ias row 5 : 5 \| wajahat habibullah \| 08/11/2000 \| 13/01/2003 \| ias row 6 : 6 \| b.s. baswan \| 06/10/1996 \| 08/11/2000 \| ias row 7 : 7 \| n.c. saxena \| 25/05/1993 \| 06/10/1996 \| ias row 8 : 8 \| b.n. yugandhar \| 26/05/1988 \| 25/01/1993 \| ias row 9 : 9 \| r.n. chopra \| 06/06/1985 \| 29/04/1988 \| ias row 10 : 10 \| k. ramanujam \| 27/02/1984 \| 24/02/1985 \| ias row 11 : 11 \| r.k. shastri \| 09/11/1982 \| 27/02/1984 \| ias row 12 : 12 \| i.c. puri \| 16/06/1982 \| 11/10/1982 \| ias row 13 : 13 \| p.s. appu \| 02/08/1980 \| 01/03/1982 \| ias row 14 : 14 \| g.c.l. jone \| 23/07/1977 \| 30/06/1980 \| ias row 15 : 15 \| b.c. mathur \| 17/05/1977 \| 23/07/1977 \| ias row 16 : 16 \| rajeshwar prasa \| 11/05/1973 \| 11/04/1977 \| ias row 17 : 17 \| d.d. sathe \| 19/03/1969 \| 11/05/1973 \| ics row 18 : 18 \| k.k. das \| 12/07/1968 \| 24/02/1969 \| ics row 19 : 19 \| m.g. pimputkar \| 04/09/1965 \| 29/04/1968 \| ics row 20 : 20 \| s.k. dutta \| 13/08/1963 \| 02/07/1965 \| ics row 21 : 21 \| a.n. jha \| 01/09/1959 \| 30/09/1962 \| ics ] Execute this SQL based on the above table: select name where sr. no. > ( select sr. no. where name = 'r.k. shastri' )	i.c. puri, p.s. appu, g.c.l. joneja, b.c. mathur, rajeshwar prasad, d.d. sathe, k.k. das, m.g. pimputkar, s.k. dutta, a.n. jha
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select gb where wins = ( select wins where gb = 32 ) - 1	25, 20
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select count ( distinct pos )	16
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select count ( tv ) where attendance > 572	13
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select name where number < ( select number where name = 'molybdenum' ) order by number desc limit 1	krypton
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 1 - 0 \| 5 - 1 \| friendly row 2 : 2 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 3 - 0 \| 5 - 1 \| friendly row 3 : 3 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 4 : 4 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 5 : 5 \| 15 june 2013 \| zhejiang dragon sports centre, \| china \| None \| 5 - 2 \| friendly row 6 : 6 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 3 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 7 : 7 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 4 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 8 : 8 \| 6 july 2013 \| songdo global university campus, incheon \| japan \| 5 - 2 \| 5 - 2 \| 2013 asian indoor-martial arts games row 9 : None \| 19 october 2013 \| sao keatano, \| bank \| 3 - 0 \| 3 - 0 \| unofficial friendly row 10 : 9 \| 21 october 2013 \| maringa's futsal stadium, \| guatemala \| None \| 7 - 0 \| friendly row 11 : 10 \| 23 october 2013 \| ginasio chico neto, \| argentina \| 2 - 1 \| 2 - 2 \| 2013 grand prix de futsal ] Execute this SQL based on the above table: select result where id = 1	5 - 1
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( pos. ) where conf. = '3'	0
[ header: # \| date \| venue \| opponents \| score \| comp \| denmark scorers row 1 : 167 \| 1950-10-15 \| rasunda stadium, stockhol \| sweden \| 0-4 \| nc \| None row 2 : 179 \| 1952-07-25 \| pallokentta, hel \| yugoslavia \| 3-5 \| og \| knud lundberg, row 3 : 180 \| 1952-09-21 \| idrætsparken, \| netherlands \| 3-2 \| f \| kurt "nikkelaj" nie row 4 : 182 \| 1952-10-19 \| idrætsparken, \| norway \| 1-3 \| nc \| per jensen row 5 : 186 \| 1953-09-13 \| ullevaal stadion, \| norway \| 1-0 \| nc \| bent sørensen row 6 : 190 \| 1954-09-19 \| idrætsparken, \| switzerland \| 1-1 \| f \| jørgen olesen row 7 : 195 \| 1955-06-19 \| idrætsparken, \| finland \| 2-1 \| nc \| jens peter hansen (2) row 8 : 210 \| 1957-06-18 \| olympic stadium, hel \| finland \| 0-2 \| ot \| None row 9 : 211 \| 1957-06-19 \| tammela stadion, \| norway \| 2-0 \| ot \| egon jensen, j row 10 : 214 \| 1957-09-22 \| ullevaal stadion, \| norway \| 2-2 \| nc \| poul pedersen, peder row 11 : 219 \| 1958-06-29 \| idrætsparken, \| norway \| 1-2 \| nc \| poul pedersen row 12 : 224 \| 1959-06-21 \| idrætsparken, \| sweden \| 0-6 \| nc \| None row 13 : 228 \| 1959-09-13 \| ullevaal stadion, \| norway \| 4-2 \| ogq nc \| harald nielsen, row 14 : 229 \| 1959-09-23 \| idrætsparken, \| czechoslovakia \| 2-2 \| enq \| poul pedersen, bent han ] Execute this SQL based on the above table: select opponents where # = 186	norway
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 2 where discs = 1	1 october 2001, 29 september 2003
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select max ( points ) - min ( points )	24.0
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select min ( game )	34.0
[ header: position \| driver / passenger \| equipment \| points \| wins \| second \| third row 1 : 1 \| daniel willemsen \| zabel-vmc \| 375 \| 15 \| None \| None row 2 : 2 \| jan hendrickx / \| zabel-vmc \| 286 \| None \| 2 \| 7 row 3 : 3 \| kristers sergis / \| ktm-mefo \| 242 \| 1 \| 8 \| 1 row 4 : 4 \| andy burgler / martin \| ktm-vmc \| 196 \| None \| None \| 2 row 5 : 5 \| vaclav rozehnal / mare \| zabel-vmc \| 191 \| None \| None \| None row 6 : 6 \| maris rupeiks / har \| ktm-ayr \| 184 \| None \| 4 \| 1 row 7 : 7 \| marco happich / meinrad \| zabel-vmc \| 180 \| None \| 1 \| 1 row 8 : 8 \| joris hendrickx / \| ktm-ayr \| 177 \| None \| None \| 1 row 9 : 9 \| tomas cermak / ond \| jawa-mefo \| 153 \| None \| None \| None row 10 : 10 \| janis daiders / la \| ktm-ayr \| 148 \| None \| None \| None ] Execute this SQL based on the above table: select ( select driver / passenger where equipment = 'jawa-mefo' ) < ( select driver / passenger where equipment = 'jawa-mefo' )	0
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : uniao da madeira \| 2-5 \| maritimo \| 2-3 \| 0-2 row 2 : penafiel \| 2-1 \| academica \| 1-1 \| 1-0 row 3 : santa clara \| 3-2 \| uniao de leiria \| 3-1 \| 0-1 row 4 : naval \| 3-4 \| vitoria de setubal \| 1-2 \| 2-2 row 5 : moreirense \| 4-3 \| beira-mar \| 2-2 \| 2-1 row 6 : portimonense \| 2-2(5-4p) \| feirense \| 1-0 \| 1-2 row 7 : estoril \| 4-3 \| olhanense \| 4-3 \| 0-0 row 8 : belenenses \| 2-3 \| gil vicente \| 2-1 \| 0-2 ] Execute this SQL based on the above table: select abs ( 1st leg - 1st leg ) where 2nd leg = '2-1'	0
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select count ( * )	10
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select stadium order by capacity desc limit 1	windsor park
[ header: weapon name \| caliber (mm) \| range (max) \| warhead row 1 : m-8 \| 82 mm \| 5,900 m (6,500 yd \| 0.64 kg (1.4 lb) row 2 : m-13 \| 132 mm \| 8,740 m (9,560 \| 4.9 kg (11 lb) row 3 : m-13dd \| 132 mm \| 11,800 m (12,900 yd \| 4.9 kg (11 lb) row 4 : m-13uk \| 132 mm \| 7,900 m (8,600 yd \| 4.9 kg (11 lb) row 5 : m-20 \| 132 mm \| 5,050 m (5,520 y \| 18.4 kg (41 lb) row 6 : m-30 \| 300 mm \| 2,800 m (3,100 yd \| 28.9 kg (64 lb) row 7 : m-31 \| 300 mm \| 4,325 m (4,730 \| 28.9 kg (64 lb) row 8 : m-31uk \| 300 mm \| 4,000 m (4,400 yd \| 28.9 kg (64 lb) ] Execute this SQL based on the above table: select count ( * ) where weapon name = 'm-20'	1
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select count ( * ) where number = 51	1
[ header: year \| single \| peak chart positions at \| peak chart positions uk \| peak chart positions u.s. dance \| peak chart positions u.s. rock \| peak chart positions ger \| peak chart positions sui \| peak chart positions ned \| peak chart positions swe \| album row 1 : 1988 / 89 \| "bring me edelweiss" \| 1 \| 5 \| 7 \| 24 \| 2 \| 1 \| 2 \| 1 \| singles only row 2 : 1989 \| "i can't get no... edel \| None \| None \| None \| None \| None \| None \| None \| None \| singles only row 3 : 1992 \| "raumschiff edelweiss" / \| 1 \| None \| None \| None \| 7 \| 8 \| 19 \| 25 \| wonderful world of edelweiss row 4 : 1992 \| "planet edelweiss" \| 14 \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 5 : 1993 \| "beam me up" \| None \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 6 : 1993 \| "ski instructor" \| None \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 7 : 1997 \| "edeltaler hochzeitsmarsch ( \| None \| None \| None \| None \| None \| None \| None \| None \| singles only row 8 : 2001 \| "bring me edelweiss" ( \| None \| None \| None \| None \| None \| None \| None \| None \| singles only ] Execute this SQL based on the above table: select album where single = '"beam me up"' and single = '"beam me up"'	wonderful world of edelweiss
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select location where name = 'makalawena marsh'	north kona
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 11 \| baylor \| #14 \| ohio stadium • columbus \| w 21-14 \| 88622 row 2 : september 18 \| at michigan state \| #12 \| spartan stadium • east lans \| w 31-10 \| 73483 row 3 : september 25 \| stanford \| #13 \| ohio stadium • columbus \| l 20-23 \| 89436 row 4 : october 2 \| florida state \| None \| ohio stadium • columbus \| l 17-34 \| 89491 row 5 : october 9 \| wisconsin \| None \| ohio stadium • columbus \| l 0-6 \| 88344 row 6 : october 16 \| at #15 illinois \| None \| memorial stadium • champaign, il \| w 26-21 \| 73488 row 7 : october 23 \| at indiana \| None \| memorial stadium • bloomington, in \| w 49-25 \| 52,04 row 8 : october 30 \| purdue \| None \| ohio stadium • columbus \| w 38-6 \| 89341 row 9 : november 6 \| minnesota \| None \| ohio stadium • columbus \| w 35-10 \| 87666 row 10 : november 13 \| at northwestern \| None \| dyche stadium • evanston \| w 40-28 \| 30074 row 11 : november 20 \| #13 michigan \| None \| ohio stadium • columbus \| w 24-14 \| 90252 row 12 : december 17 \| vs. byu \| #17 \| jack murphy stadium • san die \| w 47-17 \| 52533 ] Execute this SQL based on the above table: select site where id = ( select id where site = 'ohio stadium • columbus, oh' ) + 1	spartan stadium • east lansing, mi
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select end where begin >= 1968	2000, 1986, 1999, 2005, 1992, 2000, 1987, 1998, 1995
[ header: year \| film title \| genre \| cast \| notes row 1 : 1988 \| tarka \| a murder mystery \| shankar nag, devaraj \| filmfare award for best director - kann row 2 : 1990 \| utkarsha \| thriller \| dr.ambareesh, \| None row 3 : 1991 \| sangarsha \| thriller \| dr.vishnuvard \| None row 4 : 1994 \| nishkarsha \| real time thriller \| dr.vishnuvard \| karnataka state film award for best row 5 : 1996 \| beladingala baale \| love story \| ananth nag \| filmfare award for best director - kann row 6 : 1997 \| nammoora mandara hoove \| love story \| ramesh aravind, \| karnataka state film award for best row 7 : 1998 \| prema raaga haadu \| love story \| shivrajkumar, nive \| None row 8 : 1999 \| pratyartha \| thriller \| ramesh aravind, \| None row 9 : 2000 \| sparsha \| love story \| sudeep, sudha rani \| filmfare award for best director - kann row 10 : 2001 \| parva \| a musical love story \| dr.vishnuvard \| None row 11 : 2002 \| marma \| suspense thriller \| prema \| None row 12 : 2006 \| ramya chaitrakaal \| a village love story \| sandeep, nanditha \| None row 13 : 2007 \| kshana kshana \| a suspense thriller \| dr.vishnuvard \| None row 14 : 2011 \| sarigama \| romance \| prajwal devaraj, sunil \| filming row 15 : 2013 \| tanana tandanan \| drama \| ramesh aravind, \| filming ] Execute this SQL based on the above table: select count ( notes ) where genre is null	0

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inputs stringlengths 291 3.71k	targets stringlengths 1 2.65k
[ header: club \| season \| league apps \| league goals \| cup1 apps \| cup1 goals \| continental2 apps \| continental2 goals \| other3 apps \| other3 goals \| total apps \| total goals row 1 : anzhi makhachkala \| 1999 \| 40 \| 2 \| None \| None \| None \| None \| None \| None \| 40 \| 2 row 2 : anzhi makhachkala \| 2000 \| 30 \| 3 \| None \| None \| None \| None \| None \| None \| 30 \| 3 row 3 : anzhi makhachkala \| 2001 \| 14 \| 0 \| None \| None \| None \| None \| None \| None \| 14 \| 0 row 4 : anzhi makhachkala \| total \| 84 \| 5 \| None \| None \| None \| None \| None \| None \| 84 \| 5 row 5 : cska moscow \| 2001 \| 12 \| 1 \| None \| None \| None \| None \| None \| None \| 12 \| 1 row 6 : cska moscow \| 2002 \| 29 \| 2 \| None \| None \| 2 \| 0 \| None \| None \| 31 \| 2 row 7 : cska moscow \| 2003 \| 28 \| 1 \| None \| None \| 2 \| 0 \| 1 \| 0 \| 31 \| 1 row 8 : cska moscow \| 2004 \| 26 \| 1 \| None \| None \| 10 \| 0 \| 1 \| 0 \| 27 \| 1 row 9 : cska moscow \| 2005 \| 30 \| 1 \| 0 \| 0 \| 15 \| 0 \| None \| None \| 45 \| 1 row 10 : cska moscow \| 2006 \| 30 \| 1 \| 6 \| 0 \| 7 \| 0 \| 1 \| 0 \| 44 \| 1 row 11 : cska moscow \| 2007 \| 27 \| 0 \| 5 \| 0 \| 7 \| 0 \| 1 \| 0 \| 40 \| 0 row 12 : cska moscow \| 2008 \| 23 \| 0 \| 3 \| 0 \| None \| None \| None \| None \| 18 \| 0 row 13 : cska moscow \| 2009 \| 10 \| 0 \| 1 \| 0 \| 6 \| 0 \| 1 \| 0 \| 18 \| 0 row 14 : cska moscow \| 2010 \| 11 \| 0 \| 1 \| 0 \| 6 \| 0 \| 0 \| 0 \| 18 \| 0 row 15 : cska moscow \| 2011-12 \| 13 \| 0 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 15 \| 0 row 16 : cska moscow \| 2012-13 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 17 : cska moscow \| 2013-14 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| None \| None \| 1 \| 0 row 18 : cska moscow \| total \| 240 \| 7 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 302 \| 7 row 19 : career total \| career total \| 324 \| 12 \| 1 \| 0 \| 56 \| 0 \| 5 \| 0 \| 386 \| 12 ] Execute this SQL based on the above table: select count ( club ) where club = 'cska moscow'	14
[ header: year \| team \| games \| combined tackles \| tackles \| assisted tackles \| sacks \| forced fumbles \| fumble recoveries \| fumble return yards \| interceptions \| interception return yards \| yards per interception return \| longest interception return \| interceptions returned for touchdown \| passes defended row 1 : 2002 \| buf \| 16 \| 96 \| 71 \| 25 \| 3 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 2 : 2003 \| buf \| 16 \| 28 \| 24 \| 4 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 2 row 3 : 2004 \| buf \| 12 \| 25 \| 14 \| 11 \| 1 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 4 : 2005 \| buf \| 13 \| 9 \| 6 \| 3 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 5 : 2006 \| buf \| 16 \| 23 \| 13 \| 10 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 6 : 2007 \| buf \| 7 \| 4 \| 3 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 7 : 2008 \| atl \| 16 \| 34 \| 28 \| 6 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 8 : 2009 \| atl \| 16 \| 17 \| 15 \| 2 \| 0 \| 1 \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 1 row 9 : 2010 \| atl \| 15 \| 12 \| 8 \| 4 \| 0 \| 0 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 row 10 : career \| None \| 127 \| 248 \| 182 \| 66 \| 5 \| 2 \| 4 \| 0 \| 0 \| 0 \| 0 \| 0 \| 0 \| 5 ] Execute this SQL based on the above table: select sum ( fumble return yards ) where tackles in ( 6 , 71 )	0.0
[ header: primary \| other row 1 : black with glitzy gold glitter \| black with glitzy gold glitter row 2 : #000000 \| #e7c697 row 3 : blue green with glitzy gold glitter \| blue green with glitzy gold glitter row 4 : #0d98ba \| #e7c697 row 5 : green with twinkling turquoise glitter \| green with twinkling turquoise glitter row 6 : #1cac78 \| #77dde7 row 7 : orange with twinkling turquoise glitter \| orange with twinkling turquoise glitter row 8 : #ff7538 \| #77dde7 row 9 : red with shimmering silver glitter \| red with shimmering silver glitter row 10 : #ee204d \| #cdc5c2 row 11 : royal purple with ruby red glitter \| royal purple with ruby red glitter row 12 : #7851a9 \| #ee204d row 13 : white with confetti glitter \| white with confetti glitter row 14 : #ffffff \| various row 15 : yellow with rainbow glitter \| yellow with rainbow glitter row 16 : #fce883 \| various row 17 : blue with shimmering silver glitter \| blue with shimmering silver glitter row 18 : #1f75fe \| #cdc5c2 row 19 : carnation pink with lavender glitter \| carnation pink with lavender glitter row 20 : #ffaacc \| #fcb4d5 row 21 : maroon with glitzy gold glitter \| maroon with glitzy gold glitter row 22 : #c8385a \| #e7c697 row 23 : orchid with twinkling turquoise glitter \| orchid with twinkling turquoise glitter row 24 : #e6a8d7 \| #77dde7 row 25 : red violet with glitzy gold glitter \| red violet with glitzy gold glitter row 26 : #c0448f \| #e7c697 row 27 : sky blue with glitzy gold glitter \| sky blue with glitzy gold glitter row 28 : #80daeb \| #e7c697 row 29 : white with glitzy gold glitter \| white with glitzy gold glitter row 30 : #ffffff \| #e7c697 row 31 : yellow green with silver glitter \| yellow green with silver glitter row 32 : #c5e384 \| #cdc5c2 ] Execute this SQL based on the above table: select other where id = ( select id where other = '#e7c697' ) - 1	black with glitzy gold glitter
[ header: season \| level \| division \| section \| administration \| position \| movements row 1 : 1999 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegation group - relegate row 2 : 2000 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| play-offs - promoted row 3 : 2001 \| tier 2 \| ykkonen (first division) \| south group \| finnish fa (suo \| 9th \| relegated row 4 : 2002 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 2nd \| None row 5 : 2003 \| tier 3 \| kakkonen (second division) \| south group \| finnish fa (suo \| 11th \| relegated row 6 : 2004 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 8th \| None row 7 : 2005 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 6th \| None row 8 : 2006 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 7th \| None row 9 : 2007 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 10 : 2008 \| tier 4 \| kolmonen (third division) \| section 3 \| helsinki & u \| 2nd \| None row 11 : 2009 \| tier 4 \| kolmonen (third division) \| section 2 \| helsinki & u \| 1st \| promoted row 12 : 2010 \| tier 3 \| kakkonen (second division) \| group a \| finnish fa (suo \| None \| None ] Execute this SQL based on the above table: select abs ( ( select level where division = 'kakkonen (second division)' ) - ( select level where division = 'kolmonen (third division)' ) )	1
[ header: party \| diet representation representatives \| diet representation councillors \| party leader(s) \| comments row 1 : your party (yp) minna no \| 18 \| 18 \| yoshimi watana \| conservative liberalism, neoliberalism row 2 : japanese communist party (j \| 8 \| 11 \| kazuo shii reps \| the japanese communist party is row 3 : people's life party (plp) \| 7 \| 2 \| ichiro ozawa reps \| life party was founded by ichiro row 4 : social democratic party (sdp) s \| 2 \| 3 \| mizuho fukushima co \| sdp is a social democratic party row 5 : green wind midori no kaze みとりの風 \| 2 \| 0 \| kuniko tanioka co \| a house of councillors parliamentary group row 6 : new party daichi - true democrat \| 1 \| 0 \| muneo suzuki \| founded in december 2011 by new party da row 7 : new renaissance party (n \| 0 \| 1 \| yoichi masuzo \| conservatism, neoliberalism row 8 : okinawa socialist masses party (os \| 0 \| 1 \| keiko itokazu coun \| social democracy, okinawa regionalism ] Execute this SQL based on the above table: select count ( comments ) where diet representation representatives not null	8
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select sudetendeutsch order by poland desc limit 1	3160216.0
[ header: player \| games played \| field goals \| free throws \| points row 1 : ralf woods \| 16 \| 54 \| 70 \| 178 row 2 : clyde alwood \| 15 \| 57 \| 0 \| 114 row 3 : ernest mckay \| 15 \| 39 \| 3 \| 81 row 4 : ray woods \| 16 \| 19 \| 0 \| 38 row 5 : john felmley \| 6 \| 7 \| 4 \| 18 row 6 : george halas \| 11 \| 5 \| 0 \| 10 row 7 : r.c. haas \| 3 \| 1 \| 0 \| 2 row 8 : gordon otto \| 4 \| 1 \| 0 \| 2 ] Execute this SQL based on the above table: select player where games played = ( select games played where player = 'ernest mckay' ) + 1	ralf woods, ray woods
[ header: party \| votes \| % \| swing \| seats \| change row 1 : australian labor party \| 324135 \| 51.52 \| -0.12 \| 26 \| -1 row 2 : liberal and country league \| 250312 \| 39.79 \| -3.97 \| 20 \| 0 row 3 : nationals sa \| 24810 \| 3.94 \| 2.05 \| 1 \| 1 row 4 : independent \| 27178 \| 4.32 \| 2.86 \| 0 \| 0 row 5 : other \| 2708 \| 0.43 \| -0.81 \| 0 \| 0 row 6 : total \| 629143 \| None \| None \| 47 \| None row 7 : australian labor party \| win \| 54.5 \| 1.2 \| 26 \| -1 row 8 : liberal and country league \| None \| 45.5 \| -1.2 \| 21 \| 1 ] Execute this SQL based on the above table: select party where party = 'australian labor party'	australian labor party, australian labor party
[ header: year \| english title \| chinese title \| role \| notes row 1 : 1990 \| wandering heroes \| 游侠儿 - you xia er \| xiao guai \| None row 2 : 1995 \| forever friends \| 四个不平凡的少年 - si ge bu ping fan \| luo zhi j \| None row 3 : 1996 \| flirting expert \| 泡妞专家 - pao niu \| xiao pei \| None row 4 : 1996 \| pale sun \| 情色 - qing se \| lao wu \| None row 5 : 1998 \| red bride \| 红娘 - hong niang \| zhang jun rui \| None row 6 : 1999 \| winner takes all \| 大赢家 - da ying ji \| shi sheng zi \| None row 7 : 1999 \| cotton fleece \| 白棉花 - bai mian h \| ma cheng gong \| None row 8 : 2000 \| devoted to you \| 初恋的故事 - chu lian de \| yu hai \| None row 9 : 2002 \| reunion \| 手足情深 - shou zu q \| ka chung \| None row 10 : 2003 \| grandpa's home \| 爷爷的家 - ye ye \| xin qiang gong an \| None row 11 : 2005 \| taklamakan \| 塔克拉玛干 - takelamagan \| cheng cheng (成成) \| None row 12 : 2008 \| fit lover \| 爱情呼叫转移ii:爱情左右 - a \| guo ying (郭影) \| None row 13 : 2009 \| l-o-v-e \| 爱到底 - ai dao di \| None \| guest star row 14 : 2009 \| a singing fairy \| 寻找刘三姐 - xun zha \| wei wende (韦文德) \| None row 15 : 2009 \| the message \| 风声 - feng sheng \| bai xiaonian (白小年) \| aka "sound of the wind" row 16 : 2009 \| the star and the sea \| 星海 - xinghai \| xiao youmei (萧友梅) \| aka "the musician" row 17 : 2010 \| the four cupids \| 四个丘比特 - si ge qiu \| qi bolin (齐泊霖) \| None row 18 : 2010 \| secret battleground \| 孤岛秘密战 - gu dao mi mi \| japanese officer \| None row 19 : 2010 \| the love song of kang ding \| 康定情歌 - kang ding \| li su jie \| None row 20 : 2010 \| lost in panic room \| 密室之不可告人 - mi shi zi bu \| liu feiyun \| None row 21 : 2011 \| deng enming's childhood \| 少年邓恩铭 - shao nian den \| None \| None row 22 : 2012 \| design of death \| 杀生 - sha sheng \| longevity town doctor \| previous title: 长寿镇 - chang row 23 : 2012 \| the assassins \| 铜雀台 - tong que ta \| emperor xian (獻帝) \| alt pinyin: tong qi row 24 : 2012 \| back to 1942 \| 一九四二 - yi ji \| song ziwen (宋子文) \| None row 25 : 2012 \| three unmarried mothers \| 三个未婚妈妈 - san ge wei \| None \| None row 26 : 2013 \| sweet alibis \| 甜蜜殺機 \| 王志毅 - wang zhi \| None ] Execute this SQL based on the above table: select count ( role ) where year = 1996	2
[ header: composer \| born \| died \| nationality \| notable works for piano \| remarks row 1 : malcolm arnold \| 1921 \| 2006 \| english \| sonata for piano (1942) variations on \| None row 2 : york bowen \| 1884 \| 1961 \| english \| None \| romantic row 3 : alberto ginastera \| 1916 \| 1983 \| argentine \| None \| earlier works often integrate argentine folk themes; row 4 : alexander glazunov \| 1865 \| 1936 \| russian \| None \| romantic row 5 : enrique granados \| 1867 \| 1916 \| spanish \| None \| distinctly spanish row 6 : dmitri kabalevsky \| 1904 \| 1987 \| russian, soviet \| None \| None row 7 : viktor kosenko \| 1896 \| 1938 \| ukrainian \| None \| None row 8 : constant lambert \| 1905 \| 1951 \| english \| piano sonata (1928-1929) suite \| None row 9 : nikolai medtner \| 1880 \| 1951 \| russian \| None \| None row 10 : walter niemann \| 1876 \| 1953 \| german \| None \| impressionist and exotic influences row 11 : ignacy jan paderewski \| 1860 \| 1941 \| polish \| None \| None row 12 : john palm \| 1885 \| 1925 \| curacao-born \| None \| None row 13 : selim palmgren \| 1878 \| 1951 \| finnish \| None \| None row 14 : sergei prokofiev \| 1891 \| 1953 \| russian \| sonata no. 6 in a major \| None row 15 : arnold schoenberg \| 1874 \| 1951 \| austrian, american \| drei klavierstucke, \| serial (mature/late career), late- row 16 : james scott \| 1885 \| 1938 \| american, african-american \| None \| ragtime row 17 : alexander scriabin \| 1872 \| 1915 \| russian \| 10 piano sonatas \| late-romantic (early); at row 18 : alexei stanchinsky \| 1888 \| 1914 \| russian \| None \| post-romantic, modal row 19 : richard strauss \| 1864 \| 1949 \| german \| None \| None row 20 : toru takemitsu \| 1930 \| 1996 \| japanese \| None \| eclectic, with influences ranging from jazz, popular row 21 : galina ustvolskaya \| 1919 \| 2006 \| russian \| None \| eclectic row 22 : heitor villa-lobos \| 1887 \| 1959 \| brazilian \| bachianas brasileiras no \| None row 23 : angel villoldo \| 1861 \| 1919 \| argentine \| None \| tango ] Execute this SQL based on the above table: select count ( * ) where notable works for piano <= 690	1
[ header: event \| winner \| second \| third \| fourth row 1 : 2008 telstra men's pro \| josh constable \| seb wilson \| grant thomas \| jackson close row 2 : 2008 banana boat women's pro \| jennifer smith \| janna irons \| justin dupont \| selby riddle row 3 : 2007 odyssey 20/20 men \| josh constable \| harrison roach \| jackson close \| harley ingleby row 4 : 2007 banana boat women's pro \| chelsea wlliam \| lisa nicholson \| isabelle braley \| crystal dzigas row 5 : 2009 golden breed mens pro lqs \| taylor jensen \| josh constable \| christian wach \| harrison roach row 6 : 2009 banana boat women's pro \| chelsea wlliam \| melissa combo \| isaselby riddle \| isabelle brayley row 7 : 2010 golden breed mens pro lqs \| taylor jensen \| josh constable \| christian wach \| jackson close row 8 : 2010 the back beach women's 1 star pro \| crystal dzigas \| isabele braly \| leah dawson \| rosie locke ] Execute this SQL based on the above table: select third order by id desc limit 1	leah dawson
[ header: rank \| athlete \| nationality \| time row 1 : None \| moses tanui \| kenya \| 1:01:45 row 2 : None \| paul yego \| kenya \| 1:01:46 row 3 : 4 \| antonio serrano \| spain \| 1:01:56 row 4 : 7 \| herder vazquez \| colombia \| 1:02:32 row 5 : 8 \| nobuyuki sato \| japan \| 1:02:36 row 6 : 10 \| joaquim pinheiro \| portugal \| 1:02:40 row 7 : 13 \| danilo goffi \| italy \| 1:02:49 row 8 : 14 \| oleg strizhakov \| russia \| 1:02:54 row 9 : 18 \| muhammed nazipov \| russia \| 1:03:02 row 10 : 23 \| meck mothuli \| south africa \| 1:03:25 row 11 : 39 \| juan antonio crespo \| spain \| 1:04:12 row 12 : 46 \| daniel held \| united states \| 1:04:30 row 13 : 53 \| kaare sørensen \| denmark \| 1:04:51 row 14 : 59 \| kingston maringe \| zimbabwe \| 1:05:12 row 15 : 60 \| abel chimukoko \| zimbabwe \| 1:05:15 row 16 : 62 \| yann millon \| france \| 1:05:20 row 17 : 66 \| manuel matias \| portugal \| 1:05:23 row 18 : 70 \| tolosa gebre \| ethiopia \| 1:05:37 row 19 : 79 \| marcos villa \| mexico \| 1:06:16 row 20 : 83 \| chris verbeeck \| belgium \| 1:06:37 row 21 : 84 \| julius ruto \| kenya \| 1:06:40 row 22 : 90 \| ronald schut \| netherlands \| 1:06:53 row 23 : 92 \| khelil benhalima \| algeria \| 1:07:01 row 24 : 96 \| tayeb kallou \| algeria \| 1:07:21 row 25 : 105 \| ebrahim etta-ati \| iran \| 1:08:10 row 26 : 106 \| wilson theleso \| botswana \| 1:08:12 row 27 : 108 \| haja ramananjatavo \| madagascar \| 1:08:25 row 28 : 116 \| ajay chuttoo \| mauritius \| 1:09:29 row 29 : 118 \| parakhat kurtgeldiye \| turkmenistan \| 1:09:50 row 30 : 122 \| edo janic \| yugoslavia \| 1:10:38 row 31 : 130 \| lee kar lun \| hong kong \| 1:13:28 row 32 : 133 \| binesh prasad \| fiji \| 1:15:38 row 33 : 137 \| genc lugja \| albania \| 1:16:53 row 34 : None \| baha tulumbo \| tanzania \| dnf ] Execute this SQL based on the above table: select rank where nationality = 'united states' and nationality + nationality = 0	46.0
[ header: name \| elected \| term began \| term ended row 1 : john t. jordan \| elected july 10, 1871 \| 1871 \| 1872 row 2 : john collins \| elected july 14, 1873 \| 1873 \| 1874 row 3 : henry yesler \| elected july 13, 1874 \| 1874 \| 1875 row 4 : gideon a. weed \| elected july 10, 1876 and ju \| 1876 \| 1878 row 5 : leonard purley smith \| elected july 12, 1880 and ju \| 1880 \| 1882 row 6 : henry g. struve \| elected july 10, 1882 and ju \| 1882 \| 1884 row 7 : john leary \| elected july 14, 1884 \| 1884 \| 1885 row 8 : henry yesler \| elected july 13, 1885 \| 1885 \| 1886 row 9 : dr. thomas t \| elected july 11, 1887 \| 1887 \| 1888 row 10 : harry white \| elected july 14, 1890 resigned \| 1890 \| 1891 row 11 : byron phelps \| elected march 12, 1894 \| 1894 \| 1896 row 12 : richard a. ballinger \| elected march 8, 1904 \| 1904 \| 1906 row 13 : john f. miller \| elected march 3, 1908 \| 1908 \| 1910 row 14 : george w. dilling \| appointed february 10, 1911[citation needed] \| 1912 \| None row 15 : george f. cotterill \| elected march 5, 1912 \| 1912 \| 1914 row 16 : ole hanson \| elected march 5, 1918 resigned august 28, 1919 \| 1918 \| 1919 row 17 : hugh m. caldwell \| elected march 2, 1920 \| 1920 \| 1922 row 18 : edwin j. brown \| elected may 2, 1922 and march 4, 1924 \| 1922 \| 1926 row 19 : frank e. edward \| elected march 6, 1928 and march 4, 1930 recalled \| 1928 \| 1931 row 20 : robert h. harl \| appointed july 14, 1931 \| 1931 \| 1932 row 21 : charles l. smith \| elected march 6, 1934 \| 1934 \| 1936 row 22 : john f. dore \| elected march 3, 1936 became gravely ill and \| 1936 \| 1938 row 23 : arthur b. langlie \| elected march 8, 1938 appointed to take office early, \| 1938 \| 1941 row 24 : john e. carroll \| appointed january 27, 1941 \| 1941 \| 1941 row 25 : william f. devin \| elected march 3, 1942, march 7, 1944, march \| 1942 \| 1952 row 26 : allan pomeroy \| elected march 4, 1952 \| 1952 \| 1956 row 27 : gordon s. clinton \| elected march 6, 1956 and march 8, 1960 \| 1956 \| 1964 row 28 : james d'orma bra \| elected march 10, 1964 resigned march 23, 1969 \| 1964 \| 1969 row 29 : floyd c. miller \| appointed march 23, 1969 \| 1969 \| 1969 row 30 : wesley c. uhlman \| elected november 4, 1969 and november \| december 1, 1969 \| january 1, 1978 row 31 : charles royer \| elected november 8, 1977, november \| january 1, 1978 \| january 1, 1990 ] Execute this SQL based on the above table: select name order by id desc limit 1	charles royer
[ header: species \| country of origin \| total released \| first release \| last release \| areas of release \| areas established \| pasture type row 1 : bubas bison \| france, spain \| 1613 \| april 1983 \| 1996 (not by csiro \| wa \| nsw, sa, wa \| winter rainfall row 2 : copris elphenor k \| south africa \| 2287 \| january 1977 \| may 1983 \| qld \| qld \| summer rainfall row 3 : copris hispanus linn \| spain \| 294 \| october 1983 \| june 1994 \| wa \| wa \| winter rainfall row 4 : euoniticellus ful \| france, turkey \| 76944 \| march 1978 \| february 1983 \| nsw, sa, \| nsw, sa, \| winter rainfall row 5 : euoniticellus intermedius \| south africa \| 248637 \| november 1971 \| february 1984 \| act, nsw, nt \| nsw, nt, \| summer rainfall row 6 : onitis aygalus fabrici \| south africa \| 18682 \| january 1977 \| january 1982 \| nsw, sa, wa \| nsw, sa, \| winter rainfall row 7 : onitis caffer boheman \| south africa \| 8738 \| october 1979 \| april 1984 \| wa \| qld, nsw, \| summer rainfall, winter rainfall row 8 : onitis vanderkelleni lans \| kenya, rwanda \| 10852 \| october 1974 \| february 1982 \| nsw, qld \| qld \| summer rainfall row 9 : onthophagus gazella fabricius \| south africa \| 420415 \| february 1968 \| february 1984 \| act, nsw, nt \| act, nsw, nt \| summer rainfall row 10 : onthophagus nigiventri \| east africa \| 29960 \| may 1975 \| march 1983 \| nsw \| nsw \| summer rainfall row 11 : onthophagus obliquus \| nigeria, senegal, \| 9300 \| january 1976 \| november 1977 \| qld, nt \| qld \| summer rainfall row 12 : onthophagus sagittarius \| sri lanka (via \| 9075 \| january 1968 \| march 1977 \| nsw, nt, \| nsw, nt \| summer rainfall row 13 : onthophagus taurus schre \| spain, greece, ita \| 164499 \| february 1975 \| january 1984 \| nsw, sa, \| nsw, sa, \| winter rainfall row 14 : sisyphus spinipes \| south africa \| 36125 \| march 1972 \| december 1978 \| nsw, nt, \| nsw, qld \| summer rainfall ] Execute this SQL based on the above table: select count ( * ) where total released > 10	14
[ header: rank \| name \| nationality \| result \| notes row 1 : None \| park ho-hyun \| south korea \| 55.58 \| pb row 2 : None \| lee young-sun \| south korea \| 55.29 \| None row 3 : None \| anne de silva \| sri lanka \| 54.86 \| None row 4 : 4 \| liliya dusmetova \| uzbekistan \| 54.52 \| sb row 5 : 5 \| zhang li \| china \| 54.11 \| None row 6 : 6 \| harumi yamamoto \| japan \| 52.6 \| None row 7 : 7 \| suman devi \| india \| 52.58 \| None row 8 : 8 \| emika yoshida \| japan \| 51.62 \| None row 9 : 9 \| nadeeka lakmali \| sri lanka \| 48.54 \| None row 10 : 10 \| jang ok-ju \| north korea \| 41.68 \| pb row 11 : 11 \| parveen akhtar \| pakistan \| 37.51 \| None ] Execute this SQL based on the above table: select count ( distinct rank )	8
[ header: year \| film \| role \| language \| notes row 1 : 2007 \| chirutha \| sanjna \| telugu \| debut telugu film row 2 : 2009 \| kurradu \| hema \| telugu \| None row 3 : 2010 \| crook: it's good to be \| suhani \| hindi \| debut hindi film row 4 : 2012 \| teri meri kahaani \| meera \| hindi \| special appearance row 5 : 2012 \| kyaa super kool \| simran \| hindi \| None row 6 : 2013 \| jayantabhai ki \| simran \| hindi \| None row 7 : 2013 \| yamla pagla deewana \| suman \| hindi \| None row 8 : 2014 \| youngistaan \| anwita chauhan \| hindi \| None ] Execute this SQL based on the above table: select language where role = 'anwita chauhan'	hindi
[ header: category \| speed (km/h) \| speed (mph) \| vehicle \| pilot \| date row 1 : rocket-powered aircraft \| 7258 \| 4510 \| north american x-15 \| william j. knight \| 3 oct 1967 row 2 : manned air-breathing craft \| 3530 \| 2194 \| lockheed sr-71 blackbird \| eldon w. joersz \| 28 jul 1976 row 3 : propeller-driven aircraft \| 870 \| 541 \| tupolev tu-114 \| ivan soukhomline \| 1960 row 4 : piston-engined propeller-driven aircraft \| 850.1 \| 528.33 \| grumman f8f bearcat rare \| lyle shelton \| 21 aug 1989 row 5 : helicopter \| 401 \| 249.1 \| westland lynx 800 g \| john egginton \| 11 aug 1986 row 6 : glider (sailplane) \| 306.8 \| 190.6 \| schempp-hirth nim \| klaus ohlmann and \| 22 dec 2006 row 7 : human-powered aircraft \| 32 \| 19.8 \| mit monarch b \| frank scarabino \| 1 may 1984 ] Execute this SQL based on the above table: select category order by category desc limit 1	rocket-powered aircraft
[ header: common names subspecies \| pacific (critchfieldiana) \| columbia (ponderosa) \| rocky mountains (scopulorum) \| southwestern (brachyptera) \| central high plains (readiana) row 1 : years needles remain green \| 3.9±0.25, n=30 \| 4.7±0.14, n=50 \| 5.7±0.28, n=23 \| 4.3±0.18, n=24 \| 4.7±0.18, n=5 row 2 : foliage length on branch, cm \| 25.1±2.4, n=30 \| 26.2±2.2, n=50 \| 21.1±1.7, n=23 \| 21.8±2.7, n=24 \| 42.2±6.7, n=5 row 3 : needle length, cm \| 19.8±0.44, n=30 \| 16.8±0.29, n=48 \| 11.2±0.27, n=23 \| 14.7±0.45, n=24 \| 15.6±0.57, n=5 row 4 : needles per fascicle \| 3.0±0.00, n=30 \| 3.0±0.00, n=48 \| 2.6±0.06, n=23 \| 3.0±0.03, n=24 \| 2.4±0.11, n=5 row 5 : needle thickness \| 45.9±0.49, n= \| 47.8±0.51, n=48 \| 46.4±0.68, n=23 \| 44.8±0.87, n=24 \| 49.7±0.61, n=5 row 6 : branches per whorl \| 4.4±0.13, n=30 \| 3.7±0.11, n=50 \| 3.0±0.17, n=23 \| 3.4±0.25, n=23 \| 2.3±0.11, n=5 row 7 : branch angle ° from vert \| 56±1.8, n=30 \| 51±1.7, n=50 \| 50±2.3, n=23 \| 48±3.1, n=24 \| 36±1.9, n=5 row 8 : seed cones length, mm \| 101.4±2.48, n=25 \| 88.7±1.24, n= \| 70.7±2.20, n=22 \| 74.9±2.51, n=20 \| 71.1±2.46, n=5 row 9 : seed cones width, mm \| 77.1±1.35, n=25 \| 71.6±0.73, n=36 \| 61.5±1.08, n=22 \| 62.6±1.77, n=20 \| 63.3±2.18, n=5 row 10 : seed cone form w/l \| 0.80±0.03, n=25 \| 0.84±0.03, n=36 \| 0.90±0.02, n=22 \| 0.86±0.02, n=20 \| 0.90±0.03, n=5 row 11 : seed length, mm \| 7.5±0.08, n=23 \| 7.6±0.16, n=14 \| 6.3±0.09, n=17 \| 6.4±0.18, n=16 \| 7.0±0.12, n=5 row 12 : seed width, mm \| 4.9±0.05, n=23 \| 4.9±0.08, n=14 \| 4.1±0.05, n=17 \| 4.3±0.09, n=16 \| 4.5±0.10, n=5 row 13 : seed + wing length, mm \| 32.3±0.58, n=23 \| 24.8±0.62, n=14 \| 22.9±0.63, n=17 \| 23.3±0.68, n=15 \| 23.1±0.78, n=5 row 14 : mature cone color \| apple green to yellow green \| green & red-brown to d \| green & red-brown to d \| None \| green & red-brown to d ] Execute this SQL based on the above table: select max ( columbia (ponderosa) ) where columbia (ponderosa) = '24.8±0.62, n=14'	24.8±0.62, n=14
[ header: year \| film \| language \| actors \| music \| banner \| note row 1 : 1954 \| ratha paasam \| tamil \| t. k. shanmug \| m. k. athmana \| jupiter pictures & av \| directed by r. s. mani row 2 : 1956 \| amara deepam \| tamil \| sivaji ganesan, \| t. chalapathi r \| venus pictures \| directed by t. prakash row 3 : 1956 \| bhaai bhaai \| hindi \| ashok kumar, kishore \| None \| avm productions \| directed by m. v. rama row 4 : 1964 \| kalai kovil \| tamil \| r. muthuraman \| viswanathan ramamoorthy \| bhagyalakshm \| None row 5 : 1968 \| saathi \| hindi \| rajendra kumar, vy \| naushad \| venus pictures \| None row 6 : 1969 \| sivandha mann \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 7 : 1971 \| duniya kya jan \| hindi \| None \| None \| None \| None row 8 : 1974 \| urimai kural \| tamil \| mgr, latha \| m. s. viswanathan \| chitrayuga films \| None row 9 : 1975 \| vaira nenjam \| tamil \| sivaji ganesan, \| m. s. viswanathan \| chitralaya films \| None row 10 : 1978 \| ilamai oonjalaa \| tamil \| kamal hassan, rajini \| ilaiyaraaja \| chithrakala pictures \| None row 11 : 1982 \| ninaivellam ni \| tamil \| karthik, jiji, \| ilaiyaraaja \| sivasakthi films \| None row 12 : 1983 \| thudikkum karangal \| tamil \| rajinikanth, radha \| s. p. balasubram \| krg films \| None row 13 : 1984 \| unnaithedi varu \| tamil \| None \| ilaiyaraaja \| None \| None row 14 : 1991 \| thanthu vitten enna \| tamil \| vikram, rohini \| ilaiyaraaja \| chitralaya films \| None ] Execute this SQL based on the above table: select banner where year > ( select year where banner = 'chitrayuga films' )	chitralaya films, chithrakala pictures, sivasakthi films, krg films, chitralaya films
[ header: region \| date \| label \| format row 1 : australia \| march 4, 2011 \| warner music group \| cd, digital download row 2 : united kingdom \| march 7, 2011 \| atlantic records \| cd, digital download row 3 : france \| march 7, 2011 \| atlantic records \| cd, digital download row 4 : united states \| march 8, 2011 \| atlantic records \| cd, digital download row 5 : canada \| march 8, 2011 \| warner music group \| cd, digital download row 6 : japan \| march 23, 2011 \| None \| cd, digital download row 7 : germany \| april 29, 2011 \| atlantic records \| cd, digital download row 8 : austria \| april 29, 2011 \| atlantic records \| cd, digital download row 9 : switzerland \| april 29, 2011 \| atlantic records \| cd, digital download ] Execute this SQL based on the above table: select date group by date order by count ( * ) desc limit 1	april 29, 2011
[ header: rnd \| date \| race name \| circuit \| city/location \| pole position \| fastest lap \| winning driver \| winning team \| report row 1 : 1 \| march 5 \| marlboro grand prix of miami presented by \| bicentennial park \| miami, florida \| michael andretti \| scott pruett \| jacques villeneuve \| team green \| report row 2 : 2 \| march 19 \| australian indycar grand prix \| surfers paradise street circuit \| surfers paradise, australia \| michael andretti \| michael andretti \| paul tracy \| newman/haas racing \| report row 3 : 3 \| april 2 \| slick 50 200 \| phoenix international raceway \| phoenix, arizona \| bryan herta \| emerson fittipaldi \| robby gordon \| walker racing \| report row 4 : 4 \| april 9 \| toyota grand prix of long beach \| streets of long beach \| long beach, california \| michael andretti \| michael andretti \| al unser, jr \| marlboro team penske \| report row 5 : 5 \| april 23 \| bosch spark plug grand prix \| nazareth speedway \| nazareth, pennsylvani \| robby gordon \| emerson fittipaldi \| emerson fittipaldi \| marlboro team penske \| report row 6 : 6 \| may 28 \| 79th indianapolis 500 \| indianapolis motor speedway \| speedway, indiana \| scott brayton \| scott goodyear \| jacques villeneuve \| team green \| report row 7 : 7 \| june 4 \| miller genuine draft 200 \| milwaukee mile \| west allis, wisconsin \| teo fabi \| teo fabi \| paul tracy \| newman/haas racing \| report row 8 : 8 \| june 11 \| itt automotive grand prix of detroit \| the raceway on belle isle park \| detroit, michigan \| robby gordon \| michael andretti \| robby gordon \| walker racing \| report row 9 : 9 \| june 25 \| budweiser/g. i. \| portland international raceway \| portland, oregon \| jacques villeneuve \| al unser, jr \| al unser, jr \| marlboro team penske \| report row 10 : 10 \| july 9 \| texaco/havoline 200 \| road america \| elkhart lake, wiscons \| jacques villeneuve \| jacques villeneuve \| jacques villeneuve \| team green \| report row 11 : 11 \| july 16 \| molson indy toronto \| exhibition place \| toronto, ontario \| jacques villeneuve \| bobby rahal \| michael andretti \| newman/haas racing \| report row 12 : 12 \| july 23 \| budweiser grand prix of clevel \| cleveland burke lakefront airport \| cleveland, ohio \| gil de ferran \| jacques villeneuve \| jacques villeneuve \| team green \| report row 13 : 14 \| august 13 \| miller genuine draft 200 \| mid-ohio sports car course \| lexington, ohio \| jacques villeneuve \| al unser, jr \| al unser, jr \| marlboro team penske \| report row 14 : 17 \| september 10 \| toyota grand prix of monter \| laguna seca raceway \| monterey, californi \| jacques villeneuve \| gil de ferran \| gil de ferran \| jim hall racing \| report ] Execute this SQL based on the above table: select rnd where city/location = 'speedway, indiana' group by rnd order by count ( date ) desc limit 1	6
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| south korea \| 9 \| 2 \| 1 \| 12 row 2 : 2 \| chinese taipei \| 2 \| 3 \| 3 \| 8 row 3 : 3 \| spain \| 1 \| 5 \| 4 \| 10 row 4 : 4 \| united states \| 1 \| 2 \| 7 \| 10 row 5 : 5 \| turkey \| 1 \| 1 \| 2 \| 4 row 6 : 6 \| west germany \| 1 \| 0 \| 3 \| 4 row 7 : 7 \| netherlands \| 1 \| 0 \| 1 \| 2 row 8 : 8 \| mexico \| 0 \| 2 \| 1 \| 3 row 9 : 9 \| indonesia \| 0 \| 1 \| 0 \| 1 row 10 : 10 \| france \| 0 \| 0 \| 2 \| 2 row 11 : 11 \| australia \| 0 \| 0 \| 1 \| 1 row 12 : 11 \| canada \| 0 \| 0 \| 1 \| 1 row 13 : 11 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 14 : 11 \| denmark \| 0 \| 0 \| 1 \| 1 row 15 : 11 \| italy \| 0 \| 0 \| 1 \| 1 row 16 : 11 \| jordan \| 0 \| 0 \| 1 \| 1 row 17 : 11 \| nepal \| 0 \| 0 \| 1 \| 1 row 18 : 11 \| switzerland \| 0 \| 0 \| 1 \| 1 row 19 : total \| total \| 16 \| 16 \| 32 \| 64 ] Execute this SQL based on the above table: select sum ( rank )	143.0
[ header: \| plain catgut \| chromic catgut \| polyglycolide (p.g.a.) \| polydioxanone (pds) row 1 : composition \| None \| natural purified collagen \| polyglycolic acid \| polyester and poly (p-diox row 2 : tensile strength \| strength retention for at least 7 days \| maintains strength for 10-14 days \| 84% at 2 weeks, 23% at 4 \| 80% at 2 weeks, 44% at 8 row 3 : origin \| bovine serosa surface finish \| bovine serosa \| synthetic \| synthetic through the critical wound row 4 : treatment \| None \| treatment with a glycerol \| coated with magnesium stearate \| uncoated row 5 : type of absorption \| proteolytic enzymatic digestion complete by \| proteolytic enzymatic digestion complete in \| absorption by hydrolysis complete between 60 and 90 \| wound support can remain up to 42 days, however row 6 : tissue reaction \| moderate. plain catgut enjoys lower tissue reaction \| moderate \| None \| None row 7 : thread color \| straw \| brown \| violet and undyed \| violet and clear row 8 : size available \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us \| usp 6-0 (1 metric) to us row 9 : advantages \| very high knot-pull tensile \| very high knot-pull tensile \| high initial tensile strength, guaranteed holding \| tensile strength retention, guaranteed holding power row 10 : contraindications \| not recommended for incisions that require the \| not recommended for an incision that requires sustaining \| this suture being absorbable should not be used \| this type of suture being absorbable is not ] Execute this SQL based on the above table: select count ( * ) where plain catgut = 'proteolytic enzymatic digestion complete by 90 days'	1
[ header: operators \| named trains \| destination \| year begun \| year discontinued row 1 : baltimore and ohio \| capitol limited \| chicago, illinois via \| 1923 \| 1958 row 2 : baltimore and ohio \| metropolitan special \| st. louis, missouri \| ca. 1920 \| 1958 row 3 : baltimore and ohio \| national limited \| st. louis, missouri \| 1925 \| 1958 row 4 : baltimore and ohio \| royal blue \| washington, d.c \| 1890 \| 1958 row 5 : central railroad of new jersey \| blue comet \| atlantic city, new jersey \| 1929 \| 1941 row 6 : reading railroad with the central railroad of new jersey \| crusader \| philadelphia, pennsy \| 1937 \| 1967 row 7 : reading railroad with the central railroad of new jersey \| harrisburg special \| harrisburg, pennsyl \| None \| None row 8 : reading railroad with the central railroad of new jersey \| queen of the valley \| harrisburg, pennsyl \| None \| 1967 row 9 : reading railroad with the central railroad of new jersey \| wall street \| philadelphia, pennsy \| None \| None row 10 : reading railroad with the central railroad of new jersey \| williamsporter \| williamsport, pennsyl \| None \| None ] Execute this SQL based on the above table: select operators where year discontinued = 1941	central railroad of new jersey
[ header: rank \| name \| nationality \| time \| notes row 1 : None \| jill sterkel \| united states \| 1:00.53 \| nr, gr row 2 : None \| lisa buese \| united states \| 1:00.59 \| None row 3 : None \| nancy garapick \| canada \| 1:02.96 \| None row 4 : 4 \| shelley cramer \| u.s. virgin islands \| 1:03.51 \| nr row 5 : 5 \| susan sloan \| canada \| 1:03.52 \| None row 6 : 6 \| maria paris \| costa rica \| 1:03.58 \| None row 7 : 7 \| rosanna juncos \| argentina \| 1:04.75 \| None row 8 : 8 \| adriana pereira \| brazil \| 1:06.79 \| None ] Execute this SQL based on the above table: select name where name in ( 'shelley cramer' , 'shelley cramer' ) order by rank asc limit 5	shelley cramer
[ header: representative \| state \| district(s) \| served \| party \| date of birth \| date of death \| age row 1 : william r. poage \| texas \| 11 \| 1937-1978 \| democratic \| december 29, 1899 \| january 3, 1987 \| 87 years, 5 days row 2 : aubert c. dunn \| mississippi \| 5 \| 1935-1937 \| democratic \| november 20, 1896 \| january 4, 1987 \| 90 years, 45 days row 3 : charles goodell \| new york \| 43, 38 \| 1959-1968 \| republican \| march 16, 1926 \| january 21, 1987 \| 60 years, 311 days row 4 : sala burton \| california \| 5 \| 1983-1987 \| democratic \| april 1, 1925 \| february 1, 1987 \| 61 years, 306 days row 5 : tim l. carter \| kentucky \| 5 \| 1965-1981 \| republican \| september 2, 1910 \| march 27, 1987 \| 76 years, 206 days row 6 : james g. donovan \| new york \| 18 \| 1951-1957 \| democratic \| december 15, 1898 \| april 6, 1987 \| 88 years, 112 days row 7 : edith green \| oregon \| 3 \| 1955-1974 \| democratic \| january 17, 1910 \| april 21, 1987 \| 77 years, 94 days row 8 : stewart mckinney \| connecticut \| 4 \| 1971-1987 \| republican \| january 30, 1931 \| may 7, 1987 \| 56 years, 97 days row 9 : james j. delaney \| new york \| 6, 7, 9 \| 1945-1947, 1949-1978 \| democratic \| march 19, 1901 \| may 24, 1987 \| 86 years, 66 days row 10 : frank carlson \| kansas \| 6 \| 1935-1947 \| republican \| january 23, 1893 \| may 30, 1987 \| 94 years, 127 days row 11 : alvin o'konski \| wisconsin \| 10 \| 1943-1973 \| republican \| may 26, 1904 \| july 8, 1987 \| 83 years, 43 days row 12 : dominick v. daniels \| new jersey \| 14 \| 1959-1977 \| democratic \| october 18, 1908 \| july 17, 1987 \| 78 years, 272 days row 13 : harold r. gross \| iowa \| 6 \| 1949-1975 \| republican \| june 30, 1899 \| september 22, 1987 \| 88 years, 84 days row 14 : john n. camp \| oklahoma \| 6 \| 1969-1975 \| republican \| may 11, 1908 \| september 27, 1987 \| 79 years, 139 days row 15 : ray j. madden \| indiana \| 1 \| 1943-1977 \| democratic \| february 25, 1892 \| september 28, 1987 \| 95 years, 215 days row 16 : raymond w. karst \| missouri \| 12 \| 1949-1951 \| democratic \| december 31, 1902 \| october 4, 1987 \| 84 years, 277 days row 17 : charles j. carney \| ohio \| 19 \| 1970-1979 \| republican \| april 17, 1913 \| october 7, 1987 \| 74 years, 173 days row 18 : clare boothe luce \| connecticut \| 4 \| 1943-1947 \| republican \| march 10, 1903 \| october 9, 1987 \| 84 years, 213 days row 19 : harold washington \| illinois \| 1 \| 1981-1983 \| democratic \| april 15, 1922 \| november 25, 1987 \| 65 years, 224 days row 20 : abraham kazen \| texas \| 23 \| 1967-1985 \| democratic \| january 17, 1919 \| november 29, 1987 \| 68 years, 316 days row 21 : albert p. morano \| connecticut \| 4 \| 1951-1959 \| republican \| january 18, 1908 \| december 16, 1987 \| 79 years, 332 days ] Execute this SQL based on the above table: select state where state != 'iowa' and age = ( select age where state = 'iowa' )	new york
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| netherlands \| 20 \| 9 \| 0 \| 29 row 2 : 2 \| italy \| 10 \| 15 \| 3 \| 28 row 3 : 3 \| belgium \| 1 \| 2 \| 6 \| 9 row 4 : 4 \| spain \| 1 \| 1 \| 13 \| 15 row 5 : 5 \| great britain \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| germany \| 0 \| 1 \| 7 \| 8 row 7 : 7 \| greece \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| russia \| 0 \| 1 \| 0 \| 1 row 9 : 9 \| sweden \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| france \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation group by nation order by count ( * ) desc limit 1	sweden
[ header: year \| chairperson row 1 : 1905-1911 \| t.v. sivaraopan row 2 : 1912-1915 \| s. adinarayanara row 3 : 1915-1918 \| d. sankarasastrul row 4 : 1918-1921 \| shilpa bendi row 5 : 1921-1926 \| chattipurnayyapantul row 6 : 1926-1929 \| m.v. kamayyash row 7 : 1929-1931 \| h. suryanarayana row 8 : 1931-1938 \| m.v. ranganad row 9 : 1938-1942 \| challanarasimhanaidu row 10 : 1946-1949 \| b.v. ramanay row 11 : 1949-1952 \| gynatevenkatarao row 12 : 1952-1956 \| ippililaxminarayana row 13 : 1956-1961 \| pasagadasuryanarayana row 14 : 1962-1963 \| maturiramarao row 15 : 1963-1964 \| l. suryalingam row 16 : 1967-1970 \| m.a. ravuf row 17 : 1970-1972 \| ippilivenkatarao row 18 : 1981-1992 \| a.v. narasim row 19 : 1995-2000 \| dudabhavanisankar row 20 : 2000-2005 \| paidisettijayanthi row 21 : 2005-present \| m.v. padmavathi ] Execute this SQL based on the above table: select count ( * ) where chairperson = 'm.v. kamayyashetti'	1
[ header: # \| player \| position \| height \| current club row 1 : 4 \| garreth lodge \| point guard \| 1.85 \| edinburgh kings row 2 : 5 \| patrick campbell \| shooting guard \| 1.93 \| edinburgh kings row 3 : 6 \| grant gibson \| point guard \| 1.82 \| e.lothian b row 4 : 7 \| laurie costello \| point guard \| 1.87 \| edinburgh kings row 5 : 8 \| josh crolley \| small forward \| 1.98 \| troon tornadoes row 6 : 9 \| daniel donnelly \| small forward \| 1.98 \| troon tornadoes row 7 : 10 \| michael lynn \| forward \| None \| st. mirren row 8 : 11 \| ross campbell \| forward \| 1.98 \| troon tornadoes row 9 : 12 \| steven leven \| forward \| 1.97 \| arkadikos row 10 : 13 \| thomas pearson \| center \| 2 \| manchester magic row 11 : 14 \| ikemefuna attah \| power forward \| 1.98 \| tees valley mohawks row 12 : 15 \| simon flockhart \| center \| 2.1 \| edinburgh kings ] Execute this SQL based on the above table: select sum ( position ) where player = 'patrick campbell'	0.0
[ header: community \| area \| location \| population \| date established row 1 : beaver lake 17 \| 49.4 hectares (122 acres) \| 78.4 km. southeast of hal \| 23 \| march 3, 1867 row 2 : cole harbour 30 \| 18.6 hectares (46 acres) \| 9.6 km. east of halifax \| 194 \| march 3, 1880 row 3 : millbrook 27 \| 302.0 hectares (746 acres) \| 8 km. south of truro \| 847 \| march 3, 1886 row 4 : sheet harbour 36 \| 32.7 hectares (81 acres) \| 91.2 km. northeast of halifax \| 15 \| march 3, 1915 row 5 : truro 27a \| 16.7 hectares (41 acres) \| joined south of truro town limit \| 0 \| march 3, 1904 row 6 : truro 27b \| 16.4 hectares (41 acres) \| joined with 27a on south \| 0 \| march 3, 1907 row 7 : truro 27c \| 9.5 hectares (23 acres) \| joined with 27b on south \| 0 \| march 3, 1909 ] Execute this SQL based on the above table: select date established order by population desc limit 1	march 3, 1886
[ header: name \| dates \| grt \| propulsion \| port \| notes row 1 : arataki i \| 1948-84 \| 74 \| 320 bhp diesel, 10 knot \| None \| us navy harbour tug row 2 : arataki ii \| 1984-99 \| 143 \| 1100 bhp diesel, 12 knot \| timaru \| harbour tug row 3 : hipi \| 1942-56 \| 39 \| 100 bhp diesel, 8 knots \| auckland \| towing lighters row 4 : kahanui \| 1942-45 \| 207 \| 800 ihp sr t \| wanganui \| harbour tug row 5 : manawanui i \| 1948-52 \| 74 \| 329 bhp diesel, 10 knot \| auckland \| us navy harbour tug row 6 : meola \| 1961- \| 19 \| 76 bhp diesel, 9 knot \| auckland \| work boat row 7 : toia \| 1926-49 \| 423 \| 1250 ihp sr \| wellington \| world war i saint class naval tug, ] Execute this SQL based on the above table: select notes order by grt - grt desc limit 1	us navy harbour tug
[ header: year \| single \| peak chart positions us \| peak chart positions us r&b \| peak chart positions aus \| peak chart positions can \| peak chart positions nld \| peak chart positions nz \| peak chart positions uk \| certifications \| album row 1 : 1992 \| "happy days" \| 86 \| 13 \| None \| None \| None \| None \| None \| None \| lose control row 2 : 1993 \| "freak me" \| 1 \| 1 \| 3 \| 43 \| 42 \| 9 \| 46 \| us: platinum \| lose control row 3 : 1993 \| "girl u for me" \| 26 \| 4 \| None \| None \| None \| 30 \| 67 \| None \| lose control row 4 : 1993 \| "lose control" \| 26 \| 4 \| None \| None \| None \| None \| None \| None \| lose control row 5 : 1993 \| "it had to be you" \| 109 \| 45 \| None \| None \| None \| None \| None \| None \| lose control row 6 : 1993 \| "baby it's you" \| None \| None \| None \| None \| None \| None \| 44 \| None \| lose control row 7 : 1994 \| "i can go deep" \| 71 \| 22 \| None \| None \| None \| None \| None \| None \| a low down dirty shame / silk row 8 : 1995 \| "hooked on you" \| 54 \| 12 \| None \| None \| None \| 11 \| 81 \| None \| silk row 9 : 1996 \| "don't rush" \| 91 \| 39 \| None \| None \| None \| None \| None \| None \| silk row 10 : 1999 \| "if you (lovin' me)" \| 13 \| 4 \| None \| None \| None \| 28 \| None \| us: gold \| tonight row 11 : 1999 \| "meeting in my bedroom" \| 62 \| 15 \| None \| None \| None \| None \| None \| None \| tonight row 12 : 1999 \| "let's make love" \| None \| 58 \| None \| None \| None \| None \| None \| None \| tonight row 13 : 2001 \| "we're callin u" \| None \| 56 \| None \| None \| None \| None \| None \| None \| love session row 14 : 2001 \| "ebony eyes" \| None \| None \| None \| None \| None \| None \| None \| None \| love session row 15 : 2003 \| "silktime" \| None \| None \| None \| None \| None \| None \| None \| None \| silktime row 16 : 2004 \| "side show" \| None \| 66 \| None \| None \| None \| None \| None \| None \| silktime row 17 : 2006 \| "the secret garden (sweet seduction suite) \| None \| None \| None \| None \| None \| None \| None \| None \| always and forever ] Execute this SQL based on the above table: select min ( peak chart positions nz )	9.0
[ header: service \| service id \| bit rate \| audio channels \| description \| analogue availability row 1 : capital yorkshire \| c3aa \| 128 kbit/s \| joint stereo \| dance and r'n'b \| 105.1 mhz (south row 2 : choice fm \| c0ce \| 128 kbit/s \| joint stereo \| r'n'b and hip-hop \| None row 3 : heart london \| cccd \| 128 kbit/s \| joint stereo \| adult contemporary \| None row 4 : gold \| c2ce \| 64 kbit/s \| mono lsf \| oldies, 60s, 70s, 80 \| None row 5 : real radio (yorkshire) \| c3a4 \| 128 kbit/s \| joint stereo \| contemporary \| 106.2 mhz (south row 6 : real radio xs \| c8c5 \| 128 kbit/s \| joint stereo \| classic rock \| None row 7 : ucb gospel \| ced0 \| 64 kbit/s \| mono lsf \| christian \| None row 8 : ucb inspirational \| cfd0 \| 64 kbit/s \| mono lsf \| christian \| None row 9 : xfm \| c0b8 \| 128 kbit/s \| joint stereo \| indie / alternative / rock music \| None row 10 : yorkshire radio \| cfcd \| 128 kbit/s \| joint stereo \| pop music and sport \| None row 11 : dab guide \| e1c000a9 \| 8 kbit/s \| data \| hidden service, epg data \| None ] Execute this SQL based on the above table: select service where service = 'gold'	gold
[ header: ethnicity \| islam \| christianity \| judaism \| buddhism \| other \| none / atheism \| row 1 : totals \| 70.20% \| 26.32% \| 0.03% \| 0.09% \| 0.02% \| 2.82% \| 0.51% row 2 : kazakh \| 98.34% \| 0.39% \| 0.02% \| 0.01% \| 0.02% \| 0.98% \| 0.26% row 3 : russian \| 1.43% \| 91.64% \| 0.04% \| 0.02% \| 0.03% \| 6.09% \| 0.75% row 4 : uzbek \| 99.05% \| 0.39% \| 0.01% \| 0.01% \| 0.02% \| 0.37% \| 0.16% row 5 : ukrainian \| 0.94% \| 90.74% \| 0.03% \| 0.01% \| 0.02% \| 7.31% \| 0.94% row 6 : uyghur \| 98.35% \| 0.51% \| 0.02% \| 0.01% \| 0.03% \| 0.61% \| 0.47% row 7 : tatar \| 79.57% \| 10.24% \| 0.02% \| 0.03% \| 0.06% \| 8.11% \| 1.97% row 8 : german \| 1.58% \| 81.59% \| 0.05% \| 0.04% \| 0.11% \| 13.96% \| 2.68% row 9 : korean \| 5.24% \| 49.35% \| 0.21% \| 11.40% \| 0.14% \| 28.51% \| 5.16% row 10 : turkish \| 99.13% \| 0.30% \| 0.01% \| 0.01% \| 0.02% \| 0.33% \| 0.21% row 11 : azeri \| 94.81% \| 2.51% \| 0.02% \| 0.02% \| 0.03% \| 1.86% \| 0.76% row 12 : belorussian \| 0.79% \| 90.16% \| 0.04% \| 0.01% \| 0.03% \| 7.82% \| 1.15% row 13 : dungan \| 98.93% \| 0.37% \| 0.01% \| 0.03% \| 0.04% \| 0.34% \| 0.28% row 14 : kurdish \| 98.28% \| 0.53% \| 0.03% \| 0.02% \| 0.02% \| 0.74% \| 0.38% row 15 : tajik \| 97.78% \| 0.91% \| 0.01% \| 0.02% \| 0.08% \| 0.85% \| 0.35% row 16 : polish \| 0.69% \| 90.07% \| 0.04% \| 0.01% \| 0.13% \| 7.30% \| 1.76% row 17 : chechen \| 93.69% \| 2.99% \| 0.02% \| 0.01% \| 0.05% \| 2.08% \| 1.16% row 18 : kyrgyz \| 96.67% \| 0.89% \| 0.03% \| 0.03% \| 0.02% \| 1.51% \| 0.86% row 19 : others \| 34.69% \| 52.32% \| 0.82% \| 0.91% \| 0.13% \| 8.44% \| 2.69% ] Execute this SQL based on the above table: select other where id = ( select id where other = '0.03%' ) + 1	0.02%
[ header: # \| title \| artist \| highest pos. reached \| weeks at no. 1 row 1 : 1 \| "don't cry for me argentin \| julie covington \| 1 \| 7 row 2 : 2 \| "the way you that you do it" \| pussyfoot \| 1 \| 7 row 3 : 3 \| "i just want to be your everything" \| andy gibb \| 1 \| 7 row 4 : 4 \| "that's rock and roll" \| shaun cassidy \| 2 \| None row 5 : 5 \| "living next door to alice" \| smokie \| 2 \| None row 6 : 6 \| "i go to rio" \| peter allen \| 1 \| 5 row 7 : 7 \| "torn between two lovers" \| mary mcgregor \| 1 \| 4 row 8 : 8 \| "walk right in" \| dr hook \| 1 \| 5 row 9 : 9 \| "you're moving out today" \| carole bayer sager \| 1 \| 4 row 10 : 10 \| "if you leave me now" \| chicago \| 1 \| 5 (pkd #1 in 76 row 11 : 11 \| "don't give up on us" \| david soul \| 1 \| 3 row 12 : 12 \| "lido shuffle" / " \| boz scaggs \| 2 \| None row 13 : 13 \| "you and me" \| alice cooper \| 2 \| None row 14 : 14 \| "dance little lady dance" \| tina charles \| 4 \| None row 15 : 15 \| "when i need you" \| leo sayer \| 8 \| None row 16 : 16 \| "don't fall in love" \| ferrets \| 2 \| None row 17 : 17 \| "i feel love" \| donna summer \| 1 \| 1 row 18 : 18 \| "help is on its way" \| little river band \| 1 \| 1 row 19 : 19 \| "you gotta get up and dance" \| supercharge \| 3 \| None row 20 : 20 \| "mull of kintyre" \| wings \| 1 \| 11 (pkd #1 in 77 row 21 : 21 \| "don't leave me this way" \| thelma houston \| 6 \| None row 22 : 22 \| "ain't gonna bump no more \| joe tex \| 2 \| None row 23 : 23 \| "you're in my heart" \| rod stewart \| 1 \| 1 row 24 : 24 \| "ma baker" \| boney m \| 5 \| None row 25 : 25 \| "lucille" \| kenny rogers \| 7 \| None ] Execute this SQL based on the above table: select count ( * ) where title = '"if you leave me now"'	1
[ header: interval name \| size (steps) \| size (cents) \| midi \| just ratio \| just (cents) \| midi \| error row 1 : perfect fifth \| 42 \| 700 \| play (help·info) \| 3:2 \| 701.96 \| play (help·info) \| -1.96 row 2 : tridecimal tritone \| 34 \| 566.67 \| play (help·info) \| 18:13 \| 563.38 \| None \| 3.28 row 3 : 11th harmonic \| 33 \| 550 \| play (help·info) \| 11:8 \| 551.32 \| play (help·info) \| -1.32 row 4 : (15:11) augmented fourth \| 32 \| 533.33 \| play (help·info) \| 15:11 \| 536.95 \| None \| -3.62 row 5 : perfect fourth \| 30 \| 500 \| play (help·info) \| 4:3 \| 498.04 \| play (help·info) \| 1.96 row 6 : septimal narrow fourth \| 28 \| 466.66 \| play (help·info) \| 21:16 \| 470.78 \| play (help·info) \| -4.11 row 7 : 17:13 narrow fourth \| 28 \| 466.66 \| play (help·info) \| 17:13 \| 464.43 \| None \| 2.24 row 8 : tridecimal major third \| 27 \| 450 \| play (help·info) \| 13:10 \| 454.21 \| play (help·info) \| -4.21 row 9 : septendecimal supermajor third \| 27 \| 450 \| play (help·info) \| 22:17 \| 446.36 \| None \| 3.64 row 10 : septimal major third \| 26 \| 433.33 \| play (help·info) \| 9:7 \| 435.08 \| play (help·info) \| -1.75 row 11 : undecimal major third \| 25 \| 416.67 \| play (help·info) \| 14:11 \| 417.51 \| play (help·info) \| -0.84 row 12 : major third \| 23 \| 383.33 \| play (help·info) \| 5:4 \| 386.31 \| play (help·info) \| -2.98 row 13 : neutral third \| 21 \| 350 \| play (help·info) \| 11:9 \| 347.41 \| play (help·info) \| 2.59 row 14 : septendecimal supraminor third \| 20 \| 333.33 \| None \| 17:14 \| 336.13 \| None \| -2.8 row 15 : minor third \| 19 \| 316.67 \| play (help·info) \| 6:5 \| 315.64 \| play (help·info) \| 1.03 row 16 : tridecimal minor third \| 17 \| 283.33 \| play (help·info) \| 13:11 \| 289.21 \| play (help·info) \| -5.88 row 17 : septimal minor third \| 16 \| 266.67 \| play (help·info) \| 7:6 \| 266.87 \| play (help·info) \| -0.2 row 18 : tridecimal 5/4 tone \| 15 \| 250 \| play (help·info) \| 15:13 \| 247.74 \| None \| 2.26 row 19 : whole tone, major tone \| 12 \| 200 \| play (help·info) \| 9:8 \| 203.91 \| play (help·info) \| -3.91 row 20 : whole tone, minor tone \| 11 \| 183.33 \| play (help·info) \| 10:9 \| 182.4 \| play (help·info) \| 0.93 row 21 : lesser undecimal neutral second \| 9 \| 150 \| play (help·info) \| 12:11 \| 150.64 \| play (help·info) \| -0.64 row 22 : greater tridecimal 2/3 tone \| 8 \| 133.33 \| None \| 13:12 \| 138.57 \| None \| -5.24 row 23 : great limma \| 8 \| 133.33 \| None \| 27:25 \| 133.24 \| None \| 0.09 row 24 : lesser tridecimal 2/3rd tone \| 8 \| 133.33 \| play (help·info) \| 14:13 \| 128.3 \| None \| 5.04 ] Execute this SQL based on the above table: select count ( midi ) where just ratio > 0	15
[ header: singing position \| song title \| informal translation \| act \| percentage of votes \| final position row 1 : 1 \| das tut unheimlich weh \| it hurts so much \| jeanette biedermann \| 12.2% \| 4 row 2 : 2 \| lover boy \| None \| carol bee \| None \| 7 row 3 : 3 \| ein bißchen sonne, ein bi \| a little sun, a little rain \| patrick lindner \| None \| 6 row 4 : 4 \| ich habe meine tage \| i've got my period \| megasuß \| None \| 8 row 5 : 5 \| reise nach jerusalem - \| journey to jerusalem \| surpriz \| 16.2% \| 2 row 6 : 6 \| heaven \| None \| elvin \| None \| 9 row 7 : 7 \| hor den kindern einfach zu \| just listen to the children \| corinna may \| 32.6% \| 1 (dq) row 8 : 8 \| itsy bitsy spider \| None \| naima \| None \| 11 row 9 : 9 \| bye bye bar \| None \| michael von der heide \| None \| 5 row 10 : 10 \| lost in love \| None \| wind \| None \| 10 row 11 : 11 \| together we're strong \| None \| cathrin \| 15.9% \| 3 ] Execute this SQL based on the above table: select act where id = ( select id where percentage of votes = '32.6%' ) - 1	elvin
[ header: year \| title \| image \| dimensions \| collection \| comments row 1 : 1942 \| assassination of heydrich \| view \| 61.4 × 76.1 cm. (24.2 \| the national archives, kew, richmond \| subject: ss-general reinhard row 2 : 1944 \| production of tanks (original may have been untitled \| view \| 51.3 × 61.5 cm. (20.2 \| the national archives, kew, richmond \| scene: workers manufacture churchill tanks on a row 3 : 1968 \| express engines at tyseley, \| view view \| 75 × 100 cm. (29.5 × \| None \| scene: rolling stock-london, mid row 4 : 1972 \| field marshall viscount montgomery of \| view \| 125 × 100 cm. (49. \| defence academy of the united kingdom, shriven \| subject: field marshal bernard law row 5 : 1971 \| sir edward heath \| view \| 123 × 99 cm. (48. \| balliol college, university of o \| subject: sir edward heath row 6 : 1972 \| self portrait \| None \| None \| None \| None row 7 : None \| her majesty the queen with her dogs \| see cuneo society website \| None \| None \| subject: queen elizabeth row 8 : None \| bentley vs the blue train \| view see cuneo society website \| None \| None \| scene: 1930 cannes to calais ] Execute this SQL based on the above table: select image where year = 1942	view
[ header: year \| entrant \| chassis \| engine \| tyres \| drivers \| 1 \| 2 \| 3 \| 4 \| 5 \| 6 \| 7 \| 8 \| 9 \| 10 \| 11 \| 12 \| 13 \| 14 \| 15 \| 16 \| 17 \| points \| wcc row 1 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| None \| aus \| bra \| arg \| smr \| esp \| mon \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| lux \| jpn \| None \| 33 \| 5th row 2 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| giancarlo fisichella \| ret \| 6 \| 7 \| ret \| ret \| 2 \| 2 \| 9 \| 5 \| ret \| 7 \| 8 \| ret \| 8 \| 6 \| 8 \| None \| 33 \| 5th row 3 : 1998 \| mild seven benetton \| benetton b198 \| gc37-01 v10 \| b \| alexander wurz \| 7 \| 4 \| 4 \| ret \| 4 \| ret \| 4 \| 5 \| 4 \| 9 \| 11 \| 16 \| ret \| ret \| 7 \| 9 \| None \| 33 \| 5th row 4 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| None \| aus \| bra \| smr \| mon \| esp \| can \| fra \| gbr \| aut \| ger \| hun \| bel \| ita \| eur \| mal \| jpn \| None \| 16 \| 6th row 5 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| giancarlo fisichella \| 4 \| ret \| 5 \| 5 \| 9 \| 2 \| ret \| 7 \| 12 \| ret \| ret \| 11 \| ret \| ret \| 11 \| 14 \| None \| 16 \| 6th row 6 : 1999 \| mild seven benetton \| benetton b199 \| fb01 v10 \| b \| alexander wurz \| ret \| 7 \| ret \| 6 \| 10 \| ret \| ret \| 10 \| 5 \| 7 \| 7 \| 14 \| ret \| ret \| 8 \| 10 \| None \| 16 \| 6th row 7 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| None \| aus \| bra \| smr \| gbr \| esp \| eur \| mon \| can \| fra \| aut \| ger \| hun \| bel \| ita \| usa \| jpn \| mal \| 20 \| 4th row 8 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| giancarlo fisichella \| 5 \| 2 \| 11 \| 7 \| 9 \| 5 \| 3 \| 3 \| 9 \| ret \| ret \| ret \| ret \| 11 \| ret \| 14 \| 9 \| 20 \| 4th row 9 : 2000 \| mild seven benetton \| benetton b200 \| fb02 v10 \| b \| alexander wurz \| 7 \| ret \| 9 \| 9 \| 10 \| 12 \| ret \| 9 \| ret \| 10 \| ret \| 11 \| 13 \| 5 \| 10 \| ret \| 7 \| 20 \| 4th ] Execute this SQL based on the above table: select entrant where 1 = ( select min ( 1 ) )	mild seven benetton
[ header: name \| gender \| age \| from \| occupation \| prize money (usd) \| status row 1 : trisha \| female \| 28 \| santa monica, ca \| artist \| $26,000 \| winner row 2 : london \| male \| 46 \| mt. holly, n \| us coast guard (retired) \| $0 \| lost row 3 : adria \| female \| 25 \| seattle, wa \| bartender \| $0 \| 7th captured (by ricky ort row 4 : lucas \| male \| 32 \| carlsbad, ca \| student \| $0 \| 6th captured (by kim) row 5 : andrew \| male \| 21 \| redondo beach, ca \| student / lifeguard \| $0 \| 5th captured (by kim) row 6 : tracy \| female \| 30 \| mililani, hi \| student \| $0 \| 4th captured (by grant) row 7 : lynda \| female \| 59 \| los angeles, ca \| general contractor \| $0 \| 3rd captured (by icey) row 8 : darin \| male \| 46 \| fontana, ca \| sports official \| $0 \| 2nd captured (by wong) row 9 : evan \| male \| 29 \| long island, ny \| teacher \| $2,000 \| opted out row 10 : ameenah \| female \| 34 \| atlanta, ga \| drummer \| $0 \| 1st captured (by grant) ] Execute this SQL based on the above table: select prize money (usd) - prize money (usd) where status = '3rd captured (by icey)'	0.0
[ header: class \| type \| ships \| displacement \| note row 1 : rari class \| tug supply vessel \| a635 revi \| 1,450 tonnes \| None row 2 : malabar class \| ocean going tug \| a664 malabar a6 \| 1,440 tonnes \| ice-breaking capabilities to 2 meters level row 3 : ut507 class \| salvage tug \| abeille flandre abeille languedoc \| 1,500 tonnes \| chartered row 4 : ut515 class \| salvage tug \| abeille bourbon abeille libert \| 4,000 tonnes \| chartered row 5 : ut710 class \| support, assistance, pollution control vessel \| argonaute jason \| 2,100 tonnes \| chartered, configured to accommodate nato row 6 : ut711 class \| support, assistance, pollution control vessel \| alcyon ailette \| 2,000 tonnes \| chartered row 7 : None \| training ships \| vn partisan \| 2,250 tonnes \| chartered row 8 : None \| training ships \| vn rebel \| None \| chartered ] Execute this SQL based on the above table: select displacement where note = 'chartered'	1,500 tonnes, 4,000 tonnes, 2,000 tonnes, 2,250 tonnes
[ header: # \| title \| producer(s) \| performer (s) \| sample(s) \| length row 1 : 1 \| "likwit" \| e-swift, th \| tash, j-ro, \| "ode to billy joe" \| 2:34 row 2 : 2 \| "only when i'm drunk" \| e-swift, th \| j-ro, tash, \| "seven minutes of funk" by \| 3:36 row 3 : 3 \| "last call" \| e-swift, king \| tash, j-ro, \| "the payback" by james brown \| 4:37 row 4 : 4 \| "can't tell me shit" \| derick "d. pimp" willi \| e-swift, j \| "think(about it)" by ly \| 4:09 row 5 : 5 \| "turn tha party out" \| lootpack, tha alka \| lootpack, tash, \| "synthetic substitution" by mel \| 3:19 row 6 : 6 \| "bullshit" \| king tee, e- \| j-ro, king t \| "it's a new day" by \| 3:27 row 7 : 7 \| "soda pop" \| e-swift, king \| e-swift, field trip \| "hard times" by baby huey "s \| 2:48 row 8 : 8 \| "make room" \| e-swift, th \| j-ro, tash \| "sing a simple song" by \| 3:28 row 9 : 9 \| "mary jane" \| lootpack, tha alka \| j-ro, tash \| "mary jane" by rick \| 3:31 row 10 : 10 \| "who dem niggas" \| e-swift, th \| threat, e-swift, \| "take me to the mardi gras" by \| 3:46 ] Execute this SQL based on the above table: select performer (s) where length > ( select length where performer (s) = 'threat, e-swift, j-ro, tash' ) order by length asc limit 1	tash, j-ro, e-swift
[ header: team \| car(s) \| # \| driver(s) \| primary sponsor(s) \| listed owner(s) \| crew chief row 1 : akins-sutton motorsports \| ford taurus \| 98 \| elton sawyer \| lysol \| brad akins \| ricky viers row 2 : allcar racing \| chevrolet monte carlo \| 22 \| jimmy kitchens \| air jamaica vacations \| dave carroll \| todd lohse row 3 : buckshot racing \| pontiac grand prix \| 0 \| larry pearson \| cheez-it \| billy jones \| kenneth campbell row 4 : cicci-welliver racing \| chevrolet monte carlo \| 34 \| mike mclaughlin \| goulds pumps \| frank cicci \| jay smith row 5 : cicci-welliver racing \| pontiac grand prix \| 36 \| tim fedewa \| stanley tools \| scott welliver \| vic kangas row 6 : cicci-welliver racing \| chevrolet monte carlo \| 66 \| todd bodine \| phillips 66 \| jeffrey welliver \| donnie richeson row 7 : diamond ridge motorsports \| chevrolet monte carlo \| 4 \| jeff purvis \| lance snacks \| gary bechtel \| johnny allen row 8 : henderson brothers racing \| chevrolet monte carlo \| 75 \| kelly denton (r) \| big daddy's bbq sauce \| charlie henderson \| ron denton row 9 : hvp motorsports \| chevrolet monte carlo \| 63 \| chuck bown \| exxon superflo \| hubert hensley \| jeff hensley row 10 : innovative motorsports \| chevrolet monte carlo \| 47 \| andy santerre \| monro muffler brake \| george debidart \| kevin caldwell row 11 : joe gibbs racing \| pontiac grand prix \| 18 \| bobby labonte \| mbna \| joe gibbs \| bryant frazier row 12 : prw racing \| ford taurus \| 77 \| ed berrier \| lear corporation \| tony hall \| jimmy means row 13 : phil parsons racing \| chevrolet monte carlo \| 10 \| phil parsons \| alltel \| marcia parsons \| doug taylor row 14 : phoenix racing \| chevrolet monte carlo \| 1 \| randy lajoie \| bob evans restaurants \| james finch \| marc reno row 15 : progressive motorsports \| chevrolet monte carlo \| 32 \| jeff green \| kleenex \| greg pollex \| harold holly row 16 : reiser enterprises \| chevrolet monte carlo \| 17 \| matt kenseth \| dewalt tools \| robbie reiser \| robbie reiser row 17 : roush racing \| ford taurus \| 9 \| jeff burton \| track gear \| jack roush \| tommy morgan row 18 : sadler brothers racing \| chevrolet monte carlo \| 95 \| bobby hamilton, j \| shoney's inn \| earl sadler \| chick sadler row 19 : st motorsports \| chevrolet monte carlo \| 59 \| mike dillon \| kingsford \| tad geschickter \| steve plattenberger row 20 : team yellow racing \| chevrolet monte carlo \| 19 \| mike skinner \| yellow freight \| david ridling \| c. r. miller ] Execute this SQL based on the above table: select car(s) order by # desc limit 1	ford taurus
[ header: state \| no. of candidates \| no. of elected \| total no. of seats in assembly \| year of election row 1 : andhra pradesh \| 12 \| 6 \| 294 \| 2004 row 2 : assam \| 19 \| 1 \| 126 \| 2001 row 3 : bihar \| 153 \| 5 \| 324 \| 2000 row 4 : chhattisgarh \| 18 \| 0 \| 90 \| 2003 row 5 : delhi \| 2 \| 0 \| 70 \| 2003 row 6 : goa \| 3 \| 0 \| 40 \| 2002 row 7 : gujarat \| 1 \| 0 \| 181 \| 2002 row 8 : haryana \| 10 \| 0 \| 90 \| 2000 row 9 : himachal pradesh \| 7 \| 0 \| 68 \| 2003 row 10 : jammu and kashmir \| 5 \| 0 \| 87 \| 2002 row 11 : karnataka \| 5 \| 0 \| 224 \| 2004 row 12 : kerala \| 22 \| 17 \| 140 \| 2006 row 13 : madhya pradesh \| 17 \| 0 \| 230 \| 2003 row 14 : maharashtra \| 19 \| 0 \| 288 \| 1999 row 15 : manipur \| 16 \| 4 \| 60 \| 2006 row 16 : meghalaya \| 3 \| 0 \| 60 \| 2003 row 17 : mizoram \| 4 \| 0 \| 40 \| 2003 row 18 : odisha \| 6 \| 1 \| 147 \| 2004 row 19 : puducherry \| 2 \| 0 \| 30 \| 2001 row 20 : punjab \| 11 \| 0 \| 117 \| 2006 row 21 : rajasthan \| 15 \| 0 \| 200 \| 2003 row 22 : tamil nadu \| 8 \| 6 \| 234 \| 2006 row 23 : tripura \| 2 \| 1 \| 60 \| 2003 row 24 : uttar pradesh \| 5 \| 0 \| 402 \| 2002 row 25 : uttarakhand \| 14 \| 0 \| 70 \| 2002 row 26 : west bengal \| 13 \| 8 \| 294 \| 2006 ] Execute this SQL based on the above table: select state group by state order by count ( * ) desc limit 1	west bengal
[ header: series \| launch date \| finale date \| days \| housemates \| winner \| main presenter \| grand prize \| liveshow audience millions row 1 : grande fratello 1 \| 14 september 2000 \| 21 december 2000 \| 99 \| 10 \| cristina plevani \| daria bignardi \| £250,000,000 (nowadays €12 \| 9.82 row 2 : grande fratello 2 \| 20 september 2001 \| 20 december 2001 \| 92 \| 16 \| flavio montrucchio \| daria bignardi \| £250,000,000 (nowadays €12 \| 8 row 3 : grande fratello 3 \| 30 january 2003 \| 8 may 2003 \| 99 \| 16 \| floriana secondi \| barbara d'urso \| €241,000 (reduced from €300 \| 8 row 4 : grande fratello 4 \| 22 january 2004 \| 6 may 2004 \| 106 \| 15 \| serena garitta \| barbara d'urso \| €300,000 \| 8.44 row 5 : grande fratello 5 \| 23 september 2004 \| 2 december 2004 \| 71 \| 17 \| jonathan kashanian \| barbara d'urso \| €250,000 \| 6.86 row 6 : grande fratello 6 \| 19 january 2006 \| 27 april 2006 \| 99 \| 18 \| augusto de megni \| alessia marcuzzi \| €900,000 (reduced from € \| 6.51 row 7 : grande fratello 7 \| 18 january 2007 \| 19 april 2007 \| 92 \| 19 \| milo coretti \| alessia marcuzzi \| €500,000 \| 5.57 row 8 : grande fratello 8 \| 21 january 2008 \| 21 april 2008 \| 92 \| 21 \| mario ferretti \| alessia marcuzzi \| €500,000 \| 5.46 row 9 : grande fratello 9 \| 12 january 2009 \| 20 april 2009 \| 99 \| 23 \| ferdi berisa \| alessia marcuzzi \| €300,000 \| 6.63 row 10 : grande fratello 10 \| 26 october 2009 \| 8 march 2010 \| 134 \| 26 \| mauro marin \| alessia marcuzzi \| €250,000 \| 6.16 row 11 : grande fratello 11 \| 18 october 2010 \| 18 april 2011 \| 183 \| 35 \| andrea cocco \| alessia marcuzzi \| €300,000 (extended from €2 \| 5.43 row 12 : grande fratello 12 \| 24 october 2011 \| 1 april 2012 \| 161 \| 36 \| sabrina mbarek \| alessia marcuzzi \| €240,000 (reduced from €2 \| 3.85 row 13 : grande fratello 13 \| 3 march 2014 \| early june \| 92 \| 15 \| None \| alessia marcuzzi \| €250,000 \| None ] Execute this SQL based on the above table: select launch date where id = ( select id where launch date = '24 october 2011' ) - 1	18 october 2010
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| algeria \| 8 \| 3 \| 0 \| 11 row 2 : 2 \| tunisia \| 4 \| 3 \| 5 \| 12 row 3 : 3 \| egypt \| 3 \| 3 \| 3 \| 9 row 4 : 4 \| cameroon \| 1 \| 1 \| 5 \| 7 row 5 : 5 \| morocco \| 0 \| 1 \| 5 \| 5 row 6 : 6 \| south africa \| 0 \| 1 \| 1 \| 2 row 7 : 7 \| angola \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| burkina faso \| 0 \| 1 \| 0 \| 1 row 9 : 7 \| gabon \| 0 \| 1 \| 0 \| 1 row 10 : 7 \| madagascar \| 0 \| 1 \| 0 \| 1 row 11 : 11 \| nigeria \| 0 \| 0 \| 3 \| 3 row 12 : 12 \| senegal \| 0 \| 0 \| 2 \| 2 row 13 : 13 \| congo republic \| 0 \| 0 \| 1 \| 1 row 14 : 13 \| ivory coast \| 0 \| 0 \| 1 \| 1 row 15 : 13 \| guinea \| 0 \| 0 \| 1 \| 1 row 16 : 13 \| niger \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where silver > ( select silver where nation = 'morocco' ) order by silver limit 1	algeria
[ header: rank \| title \| studio \| actor/actress \| director \| gross row 1 : 1 \| three men and a baby \| touchstone \| tom selleck, ted danson, \| leonard nimoy \| $167,780,960 row 2 : 2 \| fatal attraction \| paramount \| michael douglas, gle \| adrian lyne \| $156,645,693 row 3 : 3 \| beverly hills cop ii \| paramount \| eddie murphy, judge reinhold \| tony scott \| $153,665,036 row 4 : 4 \| good morning, vietnam \| touchstone \| robin williams and forest \| barry levinson \| $123,922,370 row 5 : 5 \| moonstruck \| mgm \| cher, nicolas cage, \| norman jewison \| $80,640,528 row 6 : 7 \| the secret of my success \| universal \| michael j. fox, \| herbert ross \| $66,995,000 row 7 : 8 \| stakeout \| touchstone \| richard dreyfuss, \| john badham \| $65,673,233 row 8 : 9 \| lethal weapon \| warner bros \| mel gibson, danny glover, \| richard donner \| $65,207,127 row 9 : 10 \| dirty dancing \| vestron \| patrick swayze, jenn \| emile ardolino \| $63,892,689 row 10 : 12 \| predator \| fox \| arnold schwarzenegger, car \| john mctiernan \| $59,735,548 row 11 : 13 \| throw momma from the train \| orion \| danny devito, billy crystal, \| danny devito \| $57,915,972 row 12 : 14 \| dragnet \| universal \| dan aykroyd, to \| tom mankiewicz \| $57,387,516 row 13 : 15 \| robocop \| orion \| peter weller, nancy allen, \| paul verhoeven \| $53,424,681 row 14 : 16 \| outrageous fortune \| touchstone \| bette midler and shelley long \| arthur hiller \| $52,864,741 row 15 : 17 \| la bamba \| columbia \| lou diamond phillips, es \| luis valdez \| $52,678,820 row 16 : 18 \| broadcast news \| fox \| william hurt, holly hunter \| james l. brooks \| $51,300,000 row 17 : 19 \| the living daylights \| united artists \| timothy dalton and mary \| john glen \| $51,185,000 row 18 : 20 \| eddie murphy raw \| paramount \| eddie murphy \| robert townsend \| $50,505,655 ] Execute this SQL based on the above table: select ( select rank where studio = 'paramount' ) > ( select rank where studio = 'vestron' )	0
[ header: boat # \| name \| builder \| laid down \| launched \| completed \| fate row 1 : 4918 \| ha-208 \| sasebo naval arsenal \| 01-05-1945 \| 26-05-1945 \| 04-08-1945 \| decommissioned 30-11-1945. scut row 2 : 4920 \| ha-210 \| sasebo naval arsenal \| 14-05-1945 \| 10-06-1945 \| 11-08-1945 \| decommissioned 30-11-1945. scut row 3 : 4925 \| ha-215 \| sasebo naval arsenal \| 22-05-1945 \| 15-05-1945 \| None \| incomplete until the end of war (95%). row 4 : 4931 \| ha-221 \| mitsubishi-kobe shipyard \| 20-04-1945 \| 04-08-1945 \| None \| incomplete until the end of war (85%). row 5 : 4933 \| ha-223 \| kawasaki-kobe shipyard \| 01-05-1945 \| None \| None \| incomplete until the end of war (60%). scrap row 6 : 4938 \| ha-228 \| sasebo naval arsenal \| 21-06-1945 \| 18-07-1945 \| None \| incomplete until the end of war (75%). row 7 : 4939 \| ha-229 \| sasebo naval arsenal \| 27-06-1945 \| 27-07-1945 \| None \| incomplete until the end of war (75%). scrap row 8 : 4942 \| ha-232 \| sasebo naval arsenal \| 18-07-1945 \| None \| None \| incomplete until the end of war (40%). later row 9 : 4944 \| ha-234 \| kawasaki-kobe shipyard \| 15-05-1945 \| None \| None \| incomplete until the end of war (50%). scrap row 10 : 4945 \| ha-235 \| kawasaki-senshu shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (10%). later row 11 : 4946 \| ha-236 \| kawasaki-kobe shipyard \| 01-06-1945 \| None \| None \| incomplete until the end of war (40%). scrap row 12 : 4958 - 4989 \| None \| None \| None \| None \| None \| constructions were not started until the end of war ] Execute this SQL based on the above table: select boat # order by boat # desc limit 1	4958 - 4989
[ header: year \| driver \| co-driver \| car \| notes row 1 : 1996 \| karim hirji \| frank nekusa \| toyota celica st \| run under fia rules as the great lakes rally row 2 : 1997 \| chipper adams \| justin beyendeza \| toyota supra \| run as the pearl of africa uganda row 3 : 1998 \| charles muhangi \| steven byaruhanga \| subaru impreza \| None row 4 : 1999 \| chipper adams \| justin beyendeza \| toyota supra \| None row 5 : 2000 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 6 : 2001 \| None \| None \| None \| event not run row 7 : 2002 \| johnny gemmel \| robert paisley \| subaru impreza wrx \| None row 8 : 2003 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 9 : 2004 \| charlie lubega \| abed musa \| mitsubishi lancer evo 4 \| None row 10 : 2005 \| riyaz kurji \| sayed kadri \| subaru impreza n10 \| None row 11 : 2006 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| crew run under kenyan licence row 12 : 2007 \| conrad rautenbach \| peter marsh \| subaru impreza n10 \| None row 13 : 2008 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 14 : 2009 \| riyaz kurji \| sayed kadri \| subaru impreza n8 \| price granted posthumously row 15 : 2010 \| jamie whyte \| phil archenoul \| subaru impreza n10 \| None row 16 : 2011 \| ponsiano lwakataka \| musa nsubuga \| subaru impreza n8 \| None row 17 : 2012 \| mohammed essa \| greg stead \| subaru impreza n12 \| None row 18 : 2013 \| jas mangat \| gihan de silva \| mitsubishi lancer evo x \| None ] Execute this SQL based on the above table: select year where co-driver = 'musa nsubuga'	2011
[ header: year \| original title \| english title \| role \| notes row 1 : 1955 \| ordet \| the word \| morten borgen \| directed by carl th. dre row 2 : 1942 \| med forenede kræf \| None \| None \| propaganda film row 3 : 1938 \| bolettes brudefærd \| None \| carpenter kristiansen \| based on malberg's play row 4 : 1938 \| kongen bød \| None \| jeppe \| None row 5 : 1937 \| kloge mand, den \| the clever man \| shoemaker \| None row 6 : 1936 \| sol over danmark \| sun over denmark \| pastor nicolaj jacobs \| None row 7 : 1933 \| kobberbryllup \| None \| handelsgartner johans \| None row 8 : 1932 \| paustians uhr \| paustian's clock \| mayor \| None row 9 : 1931 \| præsten i vejlby \| the vicar of vejlby \| præsten søren quist \| first danish sound film row 10 : 1930 \| hr. tell og s \| william tell and son \| uncle jokum \| fy & bi film row 11 : 1929 \| højt paa en \| None \| None \| fy & bi film row 12 : 1925 \| grønkøbings glade \| pat and patachon are millionaires \| bank director \| fy & bi film row 13 : 1924 \| der mann um mitternacht \| the man at midnight \| knut hammerdal \| None row 14 : 1921 \| det største i \| love that lives \| thomas ward \| directed by holger-madsen row 15 : 1920 \| gudernes yndling \| the penalty of fame \| pommel \| None row 16 : 1919 \| krigsmillionæren \| the parvenu \| jensen \| directed by emanuel greg row 17 : 1916 \| udenfor loven \| outside the law \| brown \| None row 18 : 1914 \| tre indvendige jom \| three maidens \| None \| None row 19 : 1914 \| lejla \| lejla \| horse trainer \| None row 20 : 1913 \| lille klaus og \| None \| lille klaus \| None row 21 : 1910 \| dorian grays portræt \| the picture of dorian gray \| None \| None ] Execute this SQL based on the above table: select min ( year ) where original title = 'ordet'	1955
[ header: tramway \| country \| city \| height of pylons \| span width, leaning straight line \| span width, horizontal measurement \| height of cable over ground \| year of inauguration \| notes row 1 : peak 2 peak gondola \| canada \| whistler \| 65m \| 3024 m \| 3019 m \| 436 m \| 2008 \| 3s aerial tramway constructed by doppel row 2 : hut of regensburg material transport aerial railway \| austria \| falbeson \| None \| None \| None \| 430 m \| None \| None row 3 : vanoise express \| france \| vanoise \| none \| 1850 m \| 1800 m \| 380 m \| 2003 \| None row 4 : aiguille du midi \| france \| chamonix \| none \| 2867 m \| 2500 m \| None \| 1955 \| 2nd section row 5 : vallee blanche aerial tramway \| france \| mont blanc \| none \| 2831 m, 1684 m \| span is almost horizontal \| appr. 300 m \| 1958 \| rock anchored support structure row 6 : 3s aerial tramway \| austria \| kitzbuhel \| 0 m, 80m \| 2507 m \| None \| 400 m \| 2004 \| None row 7 : sandia peak tramway \| usa \| albuquerque \| 70.7 m, 21.33 m \| 2353 m \| None \| 274 m \| 1966 \| None row 8 : feldmoos-chli-tit \| switzerland \| titlis \| 37.6 m \| 3476,2 m \| None \| None \| 1979 \| temp. site tramway, demolished in ] Execute this SQL based on the above table: select count ( * ) where tramway = 'aiguille du midi' and country = 360	0
[ header: place \| team \| matches \| won \| drawn \| lost \| difference \| points row 1 : 1 \| canada \| 6 \| 6 \| 0 \| 0 \| 62-6 \| 12 row 2 : 2 \| sweden \| 6 \| 4 \| 1 \| 1 \| 33-14 \| 9 row 3 : 3 \| switzerland \| 6 \| 4 \| 1 \| 1 \| 28-12 \| 9 row 4 : 4 \| norway \| 6 \| 2 \| 0 \| 4 \| 10-27 \| 4 row 5 : 5 \| great britain \| 6 \| 1 \| 1 \| 4 \| 18-42 \| 3 row 6 : 6 \| united states \| 6 \| 1 \| 1 \| 4 \| 14-42 \| 3 row 7 : 7 \| finland \| 6 \| 1 \| 0 \| 5 \| 15-37 \| 2 ] Execute this SQL based on the above table: select team where id = 6	united states
[ header: no. \| player \| position \| career \| date no. retired row 1 : 1 \| eddie giacomin \| g \| 1965-76 \| march 15, 1989 row 2 : 2 \| brian leetch \| d \| 1987-2004 \| january 24, 2008 row 3 : 3 \| harry howell \| d \| 1952-69 \| february 22, 2009 row 4 : 7 \| rod gilbert \| rw \| 1960-78 \| october 14, 1979 row 5 : 9 \| andy bathgate \| c \| 1954-64 \| february 22, 2009 row 6 : 9 \| adam graves \| lw \| 1991-2001 \| february 3, 2009 row 7 : 11 \| mark messier \| c \| 1991-97, 2000-04 \| january 12, 2006 row 8 : 35 \| mike richter \| g \| 1990-2003 \| february 4, 2004 row 9 : 99 \| wayne gretzky \| c \| 1996-99 \| february 6, 2000 ] Execute this SQL based on the above table: select date no. retired order by no. desc limit 1	february 6, 2000
[ header: year \| tournaments played \| cuts made \| wins \| 2nd \| 3rd \| top 10s \| best finish \| earnings (€) \| money list rank \| scoring average \| scoring rank \| rolex ranking row 1 : 2004 \| 1 \| 0 \| 0 \| 0 \| 0 \| 0 \| cut \| None \| None \| 77.5 \| None \| None row 2 : 2006 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t55 \| None \| None \| 73.67 \| None \| None row 3 : 2007 \| 1 \| 1 \| 0 \| 0 \| 0 \| 0 \| t11 \| None \| None \| 71 \| None \| 647 row 4 : 2008 \| 1 \| 1 \| 0 \| 0 \| 0 \| 1 \| t10 \| None \| None \| 70.33 \| None \| 703 row 5 : 2009 \| 17 \| 14 \| 0 \| 0 \| 0 \| 1 \| t5 \| 48893 \| 35 \| 72.45 \| 37 \| 274 row 6 : 2010 \| 20 \| 14 \| 0 \| 3 \| 1 \| 7 \| t2 \| 121959 \| 12 \| 72.33 \| 35 \| 118 row 7 : 2011 \| 15 \| 13 \| 1 \| 2 \| 1 \| 6 \| 1 \| 161172 \| 8 \| 70.92 \| 13 \| 63 row 8 : 2012 \| 6 \| 3 \| 2 \| 0 \| 0 \| 2 \| 1 \| 104884 \| 13 \| 72 \| None \| 65 ] Execute this SQL based on the above table: select best finish order by year desc limit 1	1
[ header: year \| album \| song \| duration \| artist row 1 : 2010 \| trax mini album volume up \| "healing" \| None \| with trax row 2 : 2010 \| oh! \| "boys & girls" \| None \| with girls' generation row 3 : 2010 \| 1st asia tour "into the \| "barbie girl" \| None \| duet with jessica row 4 : 2012 \| history of salary man ost \| "bravo" \| 03:12 \| duet with leeteuk row 5 : 2012 \| one dream (single) \| "one dream" \| 02:29 \| with boa & henry row 6 : 2012 \| mama \| "two moons" \| 02:59 \| with exo row 7 : 2012 \| only one \| "one dream" \| 02:29 \| with boa & henry row 8 : 2014 \| toheart \| "delicious" \| None \| duet with woohyun from infinite ] Execute this SQL based on the above table: select song where song < 1145	"healing", "boys & girls", "barbie girl", "bravo", "one dream", "two moons", "one dream", "delicious"
[ header: season \| age \| overall \| slalom \| giant slalom \| super g \| downhill \| combined row 1 : 1967 \| 16 \| 27 \| 19 \| None \| not run \| None \| not awarded row 2 : 1968 \| 17 \| 12 \| 11 \| 8 \| not run \| None \| not awarded row 3 : 1969 \| 18 \| 7 \| 4 \| 11 \| not run \| 5 \| not awarded row 4 : 1970 \| 19 \| 11 \| 8 \| 10 \| not run \| 12 \| not awarded row 5 : 1971 \| 20 \| 14 \| 13 \| 9 \| not run \| 15 \| not awarded row 6 : 1972 \| 21 \| 6 \| 4 \| 7 \| not run \| 10 \| not awarded row 7 : 1973 \| 22 \| 4 \| 2 \| 8 \| not run \| 9 \| not awarded row 8 : 1974 \| 23 \| 7 \| 2 \| 13 \| not run \| 11 \| not awarded row 9 : 1975 \| 24 \| 3 \| 7 \| 7 \| not run \| 6 \| not awarded row 10 : 1976 \| 25 \| 1 \| 1 \| 3 \| not run \| 9 \| 1 ] Execute this SQL based on the above table: select combined order by super g desc limit 1	not awarded
[ header: metropolitan area \| country \| rank \| forstall 2003 est. \| official population \| year row 1 : ahmedabad \| india \| None \| None \| 6352254 \| 2011 row 2 : atlanta \| united states \| None \| None \| 5457831 \| 2012 row 3 : bangalore \| india \| None \| None \| 8728906 \| 2011 row 4 : barcelona \| spain \| None \| None \| 5357422 \| 2012 row 5 : belo horizonte \| brazil \| None \| None \| 5504635 \| 2012 row 6 : beijing \| china \| 19 \| 12500000 \| None \| None row 7 : berlin \| germany \| None \| None \| 5097712 \| 2012 row 8 : bogota \| colombia \| None \| None \| 9023644 \| 2014 row 9 : buenos aires \| argentina \| 17 \| 13170000 \| 12801364 \| 2010 row 10 : cairo \| egypt \| 16 \| 14450000 \| None \| None row 11 : chennai \| india \| None \| None \| 8917749 \| 2011 row 12 : chicago \| united states \| None \| 9175000 \| 9522434 \| 2012 row 13 : dallas-fort worth \| united states \| None \| None \| 6700991 \| 2012 row 14 : dhaka \| bangladesh \| None \| None \| 12797394 \| 2008 row 15 : houston \| united states \| None \| None \| 6177035 \| 2012 row 16 : hyderabad \| india \| None \| None \| 7749334 \| 2011 row 17 : istanbul \| turkey \| None \| None \| 14160467 \| 2014 row 18 : jakarta \| indonesia \| 6 \| 18900000 \| 28019545 \| 2010 row 19 : karachi \| pakistan \| 20 \| 11800000 \| None \| None row 20 : kolkata \| india \| 14 \| 15100000 \| 14617882 \| 2011 row 21 : lima \| peru \| None \| None \| 9735587 \| 2014 row 22 : london \| united kingdom \| 18 \| 12875000 \| 13614409 \| 2012 row 23 : los angeles \| united states \| 13 \| 15250000 \| 13052921 \| 2012 row 24 : madrid \| spain \| None \| None \| 6387824 \| 2012 row 25 : manila \| philippines \| 11 \| 16300000 \| 11855975 \| 2010 row 26 : miami \| united states \| None \| None \| 5762717 \| 2012 row 27 : moscow \| russia \| 15 \| 15000000 \| 17000000 \| None row 28 : nagoya \| japan \| None \| None \| 9107000 \| 2010 row 29 : new york \| united states \| 4 \| 19750000 \| 19831858 \| 2012 row 30 : osaka-kobe-ky \| japan \| 9 \| 17375000 \| 19342000 \| 2010 row 31 : paris \| france \| None \| None \| 12223100 \| 2010 row 32 : philadelphia \| united states \| None \| None \| 6018800 \| 2012 row 33 : pune \| india \| None \| None \| 5049968 \| 2011 row 34 : ruhr \| germany \| None \| None \| 5135136 \| 2012 row 35 : rio de janeiro \| brazil \| None \| None \| 11846530 \| 2012 row 36 : sao paulo \| brazil \| 7 \| 18850000 \| 19956590 \| 2012 row 37 : santiago \| chile \| None \| None \| 6683852 \| 2012 row 38 : shanghai \| china \| 10 \| 16650000 \| None \| None row 39 : seoul \| south korea \| 2 \| 20550000 \| 25721000 \| 2012 row 40 : singapore \| singapore \| None \| None \| 5312000 \| 2012 row 41 : tokyo \| japan \| 1 \| 32450000 \| 36923000 \| 2010 ] Execute this SQL based on the above table: select count ( metropolitan area ) where metropolitan area > 1329	41
[ header: team \| year \| regular season won \| regular season lost \| regular season ties \| regular season win % \| regular season finish \| post season won \| post season lost \| post season win % \| post season result row 1 : den \| 1981 \| 10 \| 6 \| 0 \| 0.625 \| 2nd in afc west \| None \| None \| None \| None row 2 : den \| 1982 \| 2 \| 7 \| 0 \| 0.222 \| 5th in afc west \| None \| None \| None \| None row 3 : den \| 1983 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in afc west \| 0 \| 1 \| 0 \| lost to seattle seahawks in a row 4 : den \| 1984 \| 13 \| 3 \| 0 \| 0.813 \| 1st in afc west \| 0 \| 1 \| 0 \| lost to pittsburgh steelers in row 5 : den \| 1985 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in afc west \| None \| None \| None \| None row 6 : den \| 1986 \| 11 \| 5 \| 0 \| 0.688 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to new york giants in super bowl row 7 : den \| 1987 \| 10 \| 4 \| 1 \| 0.714 \| 1st in afc west \| 2 \| 1 \| 0.667 \| lost to washington redskins in super bowl row 8 : den \| 1988 \| 8 \| 8 \| 0 \| 0.5 \| 2nd in afc west \| None \| None \| None \| None row 9 : den \| 1990 \| 5 \| 11 \| 0 \| 0.313 \| 5th in afc west \| None \| None \| None \| None row 10 : den total \| den total \| 110 \| 73 \| 1 \| 0.601 \| None \| 7 \| 6 \| 0.538 \| None row 11 : nyg \| 1993 \| 11 \| 5 \| 0 \| 0.688 \| 2nd in nfc east \| 1 \| 1 \| 0.5 \| lost to san francisco 49ers row 12 : nyg \| 1994 \| 9 \| 7 \| 0 \| 0.563 \| 2nd in nfc east \| None \| None \| None \| None row 13 : nyg \| 1995 \| 5 \| 11 \| 0 \| 0.313 \| 4th in nfc east \| None \| None \| None \| None row 14 : nyg \| 1996 \| 6 \| 10 \| 0 \| 0.375 \| 5th in nfc east \| None \| None \| None \| None row 15 : nyg total \| nyg total \| 31 \| 33 \| 0 \| 0.484 \| None \| 1 \| 1 \| 0.5 \| None row 16 : atl \| 1997 \| 7 \| 9 \| 0 \| 0.438 \| 2nd in nfc west \| None \| None \| None \| None row 17 : atl \| 2000 \| 4 \| 12 \| 0 \| 0.25 \| 5th in nfc west \| None \| None \| None \| None row 18 : atl \| 2001 \| 7 \| 9 \| 0 \| 0.438 \| 3rd in nfc south \| None \| None \| None \| None row 19 : atl \| 2002 \| 9 \| 6 \| 1 \| 0.594 \| 2nd in nfc south \| 1 \| 1 \| 0.5 \| lost to philadelphia ea row 20 : atl \| 2003 \| 3 \| 10 \| 0 \| 0.231 \| 4th in nfc south \| None \| None \| None \| None row 21 : atl total \| atl total \| 49 \| 59 \| 1 \| 0.454 \| None \| 3 \| 2 \| 0.6 \| None row 22 : total \| total \| 190 \| 165 \| 2 \| 0.535 \| None \| 11 \| 9 \| 0.55 \| None ] Execute this SQL based on the above table: select regular season finish where regular season finish in ( '4th in nfc south' , 'None' ) order by post season lost desc limit 1	4th in nfc south
[ header: description \| total \| poland \| baltic states(resettled in poland during war) \| resettled in poland during war(from ussr and romania) \| sudetendeutsch \| se europe (hungary, romania, yugoslavia & slovakia) row 1 : total population before flight & expulsion \| 16199086 \| 11038826 \| 145615 \| 365622 \| 3160216 \| 1488807 row 2 : violent deaths \| 58256 \| 44603 \| 383 \| 747 \| 5596 \| 6927 row 3 : suicides \| 14356 \| 10330 \| 157 \| 84 \| 3411 \| 374 row 4 : deported( forced labor ussr) \| 49542 \| 32947 \| 1566 \| 6465 \| 705 \| 7859 row 5 : in internment camps \| 80522 \| 27847 \| 952 \| 1037 \| 6615 \| 44071 row 6 : during the wartime flight \| 93283 \| 86860 \| 2394 \| 738 \| 629 \| 2662 row 7 : in the course of the expulsions \| 63876 \| 57814 \| 3510 \| 561 \| 1481 \| 510 row 8 : cause undetermined \| 112612 \| 106991 \| 64 \| 3116 \| 379 \| 2062 row 9 : other misc \| 566 \| None \| 38 \| 141 \| 73 \| 314 row 10 : total confirmed deaths \| 473013 \| 367392 \| 9064 \| 12889 \| 18889 \| 64779 row 11 : total unsolved cases \| 1905991 \| 1404993 \| 19374 \| 73794 \| 287169 \| 120661 ] Execute this SQL based on the above table: select description where description = 'violent deaths' order by description desc limit 1	violent deaths
[ header: year \| competition \| venue \| position \| event \| notes row 1 : 1990 \| pan american race walking cup \| xalapa, mexico \| 25th \| 20 km \| 1:48:49 row 2 : 1993 \| central american and caribbean games \| ponce, puerto rico \| 3rd \| 20 km \| 1:29:43 row 3 : 1994 \| central american games \| san salvador, el \| 1st \| 20 km \| 1:27:45 row 4 : 1995 \| pan american games \| mar del plata, argentina \| 3rd \| 20 km \| 1:23:50 row 5 : 1995 \| central american and caribbean championships \| ciudad de guatemala, \| 2nd \| 20 km \| 1:25:10 a row 6 : 1996 \| olympic games \| atlanta, georgia \| dsq \| 20 km \| None row 7 : 1997 \| world race walking cup \| podebrady, czech \| 5th \| 20 km \| 1:18:51 row 8 : 1997 \| central american and caribbean championships \| san juan, puerto \| 1st \| 20 km \| 1:26:24.40 cr row 9 : 1997 \| world championships \| athens, greece \| dsq \| 20 km \| None row 10 : 1997 \| central american games \| san pedro sul \| 1st \| 20 km \| 1:35:45 row 11 : 1998 \| ibero-american championships \| lisbon, portugal \| 2nd \| 20 km \| 1:26:25 row 12 : 1998 \| central american and caribbean games \| maracaibo, venezu \| 3rd \| 20 km \| 1:25:31 row 13 : 1999 \| world championships \| seville, spain \| dsq \| 20 km \| None row 14 : 2000 \| olympic games \| sydney, australia \| 43rd \| 20 km \| 1:31:47 row 15 : 2001 \| central american and caribbean championships \| guatemala city, guate \| 3rd \| 20 km \| 1:29:47 a row 16 : 2003 \| central american and caribbean championships \| st. george's, \| 1st \| 18,000 m \| 1:22:07 row 17 : 2003 \| pan american games \| santo domingo, dominican \| dsq \| 20 km \| None row 18 : 2003 \| pan american games \| santo domingo, dominican \| dnf \| 50 km \| None row 19 : 2003 \| world championships \| paris, france \| dsq \| 20 km \| None row 20 : 2004 \| world race walking cup \| naumburg, germany \| 15th \| 50 km \| 3:56:19 row 21 : 2004 \| olympic games \| athens, greece \| dsq \| 50 km \| None row 22 : 2004 \| central american championships \| managua, nicaragua \| 3rd \| 20 km \| 1:33:20.46 row 23 : 2005 \| central american and caribbean championships \| nassau, bahamas \| 1st \| 20,000 m \| 1:30:38.07 row 24 : 2005 \| world championships \| helsinki, finland \| 12th \| 50 km \| 3:57:56 row 25 : 2006 \| ibero-american championships \| ponce, puerto rico \| None \| 20,000 m \| dq row 26 : 2006 \| central american and caribbean games \| cartagena, colombia \| 5th \| 20 km \| 1:33:00 row 27 : 2007 \| central american championships \| san jose, costa ric \| 3rd \| 20 km \| 1:27:30.42 ] Execute this SQL based on the above table: select notes - event where position = '5th'	-19.0, -19.0
[ header: rank \| heat \| country \| cyclists \| result \| notes row 1 : 1 \| 6 \| great britain \| chris hoy jason kenn \| 42.95 \| q, wr row 2 : 2 \| 7 \| france \| gregory bauge kevin \| 43.541 \| q row 3 : 3 \| 6 \| germany \| rene enders maximilian \| 44.197 \| q row 4 : 4 \| 7 \| netherlands \| theo bos teun mul \| 44.213 \| q row 5 : 5 \| 5 \| australia \| daniel ellis mark french \| 44.335 \| q row 6 : 6 \| 1 \| japan \| kiyofumi nagai \| 44.454 \| q row 7 : 7 \| 3 \| malaysia \| azizulhasni awang jos \| 44.752 \| q row 8 : 8 \| 2 \| united states \| michael blatchford \| 45.346 \| q row 9 : 9 \| 4 \| china \| feng yong li we \| 45.556 \| None row 10 : 10 \| 3 \| greece \| athanasios mantz \| 45.645 \| None row 11 : 11 \| 2 \| czech republic \| tomas babek adam \| 45.678 \| None row 12 : 12 \| 5 \| russia \| sergey polynskiy denis \| 45.964 \| None row 13 : 13 \| 1 \| poland \| maciej bielecki kamil \| 45.266 \| None ] Execute this SQL based on the above table: select country order by country asc limit 1	australia
[ header: name \| service \| rank \| role and unit \| date of award \| notes \| image row 1 : erdmann gabriel \| heer \| oberfeldwebel \| platoon leader in the ii. \| 30 august 1941 \| None \| row 2 : georg gartner \| heer \| hauptmann \| commander of the i./sturm- \| 21 september 1944 \| None \| row 3 : otto gaillinger \| heer \| oberleutnant \| leader of the 1./infanterie-bat \| 8 october 1943 \| killed in action 29 september 1943 \| row 4 : wilhelm gaißer \| heer \| leutnant of the reserves \| leader of the 1./grenadier- \| 17 march 1945 \| None \| row 5 : adolf galland \| luftwaffe \| major \| gruppenkommandeur of the i \| 29 july 1940 \| awarded 3rd oak leaves 24 september 1940 \| row 6 : franz gapp \| luftwaffe \| oberfeldwebel \| pilot in the 8./kampfgeschwader \| 18 september 1943 \| None \| row 7 : heinrich gath \| heer \| stabsfeldwebel \| platoon leader in the 2./panzer \| 11 october 1943 \| None \| row 8 : alfred gause \| heer \| generalmajor \| chief of the generalstab of the panzer \| 13 december 1941 \| None \| row 9 : gebhard? \| waffen-ss \| ss-oberscharfuhrer \| platoon leader in the 2./ss \| 6 may 1945 \| None \| row 10 : oskar genrich \| luftwaffe \| oberleutnant \| pilot in the 2.(f)/aufkla \| 3 november 1942 \| None \| row 11 : karl-heinz giff \| heer \| leutnant of the reserves \| vorgeschobener beobachter ( \| 18 november 1944 \| None \| row 12 : hans gobel \| heer \| hauptmann \| commander of the ii./grena \| 29 april 1945 \| None \| row 13 : siegwart goller? \| heer \| hauptmann of the reserves \| commander of the ii./gebir \| 9 may 1945 \| None \| row 14 : helmut gortz \| luftwaffe \| feldwebel \| platoon leader in the 3./fallschirm \| 24 may 1940 \| None \| row 15 : franz gotz \| luftwaffe \| oberleutnant \| staffelkapitan of the 9./ \| 4 september 1942 \| None \| row 16 : albert graf von der goltz \| heer \| major of the reserves \| commander of the i./infanterie \| 7 may 1942 \| awarded 316th oak leaves 2 november \| row 17 : heinz graeber \| luftwaffe \| oberfeldwebel \| radio operator in the 15./kampfgeschwa \| 30 september 1943 \| None \| ] Execute this SQL based on the above table: select role and unit where role and unit in ( 'vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)' , 'vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)' ) group by role and unit order by sum ( name - notes ) desc limit 1	vorgeschobener beobachter (forward observer) in the 6./artillerie-regiment 190 (motorized)
[ header: tournament \| games played \| points per game \| rebounds per game \| assists per game row 1 : 2003 eurobasket \| 6 \| 6.8 \| 5.3 \| 0.7 row 2 : 2005 eurobasket \| 7 \| 7.6 \| 7.1 \| 0.6 row 3 : 2006 fiba world championship \| 9 \| 9.7 \| 6.7 \| 0.6 row 4 : 2007 eurobasket \| 7 \| 8.9 \| 3.7 \| 0.6 row 5 : 2009 eurobasket \| 8 \| 6.5 \| 2.9 \| 1.1 row 6 : 2010 fiba world championship \| 4 \| 4.5 \| 4.8 \| 1.5 row 7 : 2011 eurobasket \| 11 \| 2.6 \| 3.4 \| 0.8 row 8 : 2012 olympics \| 6 \| 4.5 \| 2.8 \| 0.5 row 9 : 2013 eurobasket \| 11 \| 1.9 \| 3.5 \| 0.2 ] Execute this SQL based on the above table: select tournament where tournament in ( '2005 eurobasket' , '2009 eurobasket' ) order by games played desc limit 1	2009 eurobasket
[ header: name \| rural municipality (rm) \| population (2011) \| population (2006) \| change (%) \| land area (km2) \| population density (per km2) row 1 : assiniboia \| lake of the rivers no. 72 \| 2418 \| 2305 \| 4.9 \| 3.78 \| 639.8 row 2 : bengough \| bengough no. 40 \| 313 \| 337 \| -7.1 \| 1.07 \| 292 row 3 : bienfait \| coalfields no. 4 \| 780 \| 748 \| 4.3 \| 3.09 \| 252.4 row 4 : big river \| big river no. 555 \| 639 \| 728 \| -12.2 \| 2.51 \| 255 row 5 : birch hills \| birch hills no. 460 \| 1064 \| 935 \| 13.8 \| 2.27 \| 468.4 row 6 : broadview \| elcapo no. 154 \| 574 \| 611 \| -6.1 \| 2.45 \| 233.8 row 7 : bruno \| bayne no. 371 \| 574 \| 495 \| 16 \| 0.95 \| 606.1 row 8 : churchbridge \| churchbridge no. 211 \| 743 \| 704 \| 5.5 \| 2.76 \| 269.2 row 9 : craik \| craik no. 222 \| 453 \| 408 \| 11 \| 3.02 \| 150 row 10 : govan \| last mountain valley no. 250 \| 216 \| 232 \| -6.9 \| 1.35 \| 159.7 row 11 : kindersley \| kindersley no. 290 \| 4678 \| 4412 \| 6 \| 12.55 \| 372.8 row 12 : kipling \| kingsley no. 124 \| 1051 \| 973 \| 8 \| 2.15 \| 487.9 row 13 : lampman \| browning no. 34 \| 713 \| 634 \| 12.5 \| 2.23 \| 319.9 row 14 : leader \| happyland no. 231 \| 821 \| 881 \| -6.8 \| 1.71 \| 481.2 row 15 : lemberg \| abernethy no. 186 \| 274 \| 255 \| 7.5 \| 2.67 \| 102.7 row 16 : lumsden \| lumsden no. 189 \| 1631 \| 1523 \| 7.1 \| 4.06 \| 402 row 17 : maple creek \| maple creek no. 111 \| 2176 \| 2198 \| -1 \| 4.42 \| 492.1 row 18 : milestone \| brock no. 64 \| 618 \| 562 \| 10 \| 2.17 \| 284.4 row 19 : morse \| morse no. 165 \| 240 \| 236 \| 1.7 \| 1.45 \| 165.7 row 20 : naicam \| pleasantdale no. 398 \| 686 \| 690 \| -0.6 \| 1.69 \| 405.5 row 21 : nipawin \| nipawin no. 487 \| 4265 \| 4076 \| 4.6 \| 8.71 \| 489.4 row 22 : osler \| corman park no. 344 \| 1088 \| 926 \| 17.5 \| 1.55 \| 700.6 row 23 : pilot butte \| mcleod no. 185 \| 1848 \| 1872 \| -1.3 \| 5.05 \| 365.6 row 24 : porcupine plain \| porcupine no. 395 \| 855 \| 783 \| 9.2 \| 2.27 \| 377.2 row 25 : preeceville \| preeceville no. 334 \| 1070 \| 1050 \| 1.9 \| 3.06 \| 350.2 row 26 : rouleau \| redburn no. 130 \| 453 \| 400 \| 13.3 \| 1.61 \| 282.2 row 27 : shaunavon \| grassy creek no. 78 \| 1756 \| 1691 \| 3.8 \| 5.1 \| 344.2 row 28 : springside \| st. philips no. \| 534 \| 513 \| 4.1 \| 0.68 \| 791 row 29 : star city \| star city no. 428 \| 460 \| 428 \| 7.5 \| 0.7 \| 661.1 row 30 : strasbourg \| mckillop no. 220 \| 752 \| 732 \| 2.7 \| 5.7 \| 132 ] Execute this SQL based on the above table: select count ( name ) where name != 'lumsden' and name = ( select name where name = 'lumsden' )	0
[ header: year \| chassis \| engine \| start \| finish row 1 : 1974 \| eagle \| offy \| 21st \| 7th row 2 : 1975 \| eagle \| offy \| 18th \| 4th row 3 : 1976 \| eagle \| offy \| 6th \| 5th row 4 : 1977 \| eagle \| offy \| 8th \| 15th row 5 : 1978 \| lighning \| cosworth \| 21st \| 24th row 6 : 1979 \| lighning \| cosworth \| 17th \| 20th row 7 : 1980 \| penske \| cosworth \| 8th \| 6th row 8 : 1981 \| penske \| cosworth \| 10th \| 28th row 9 : 1982 \| march \| cosworth \| 10th \| 3rd row 10 : 1983 \| march \| cosworth \| 14th \| 7th row 11 : 1984 \| march \| cosworth \| 21st \| 19th row 12 : 1985 \| march \| buick \| 1st \| 33rd row 13 : 1986 \| lola \| cosworth \| 14th \| 16th row 14 : 1987 \| march \| cosworth \| 29th \| 27th row 15 : 1988 \| march \| buick \| qualifying crash \| None row 16 : 1989 \| lola \| cosworth \| 32nd \| 22nd row 17 : 1990 \| lola \| cosworth \| 22nd \| 29th row 18 : 1991 \| lola \| buick \| 32nd \| 21st row 19 : 1992 \| lola \| buick \| failed to qualify \| None row 20 : 1994 \| lola \| chevrolet \| failed to qualify \| None ] Execute this SQL based on the above table: select count ( distinct finish ) where finish != '21st'	15
[ header: title \| year \| peak chart positions us \| peak chart positions us r&b \| peak chart positions us rap \| peak chart positions uk \| certifications \| album row 1 : "can't you see" (total \| 1995 \| 13 \| 3 \| None \| 43 \| riaa: gold \| total row 2 : "player's anthem" (with \| 1995 \| 13 \| 7 \| 2 \| None \| riaa: gold \| conspiracy row 3 : "this time around" (michae \| 1995 \| None \| None \| None \| None \| None \| history row 4 : "you can't stop the reign" ( \| 1996 \| None \| None \| None \| 40 \| None \| you can't stop the reign row 5 : "only you" (112 featuring the notorious \| 1996 \| 13 \| 3 \| None \| None \| riaa: gold \| 112 row 6 : "get money" (with junior m. \| 1996 \| 17 \| 4 \| 1 \| 63 \| riaa: platinum \| conspiracy row 7 : "crush on you" (lil' \| 1996 \| 6 \| None \| 1 \| 36 \| None \| hard core row 8 : "stop the gunfight" (trapp featuring \| 1997 \| 77 \| 35 \| 9 \| None \| None \| stop the gunfight row 9 : "be the realist" (trapp featuring \| 1997 \| None \| 65 \| 14 \| None \| None \| stop the gunfight row 10 : "been around the world" (puff \| 1997 \| 2 \| 7 \| 1 \| 4 \| None \| no way out row 11 : "it's all about the benja \| 1997 \| 2 \| 7 \| 1 \| 20 \| None \| no way out row 12 : "victory" (puff daddy featuring \| 1998 \| 19 \| 13 \| 2 \| None \| None \| no way out row 13 : "runnin' (dying to live \| 2004 \| 19 \| 11 \| 5 \| 17 \| None \| tupac: resurrection row 14 : "angels" (diddy-dir \| 2009 \| 116 \| 71 \| None \| None \| None \| last train to paris ] Execute this SQL based on the above table: select ( select certifications where peak chart positions us rap = 2 ) - ( select certifications where peak chart positions us rap = 2 )	0
[ header: rank \| city \| population \| area (km2) \| density (inhabitants/km2) \| altitude (mslm) row 1 : 1st \| alessandria \| 94191 \| 203.97 \| 461.8 \| 95 row 2 : 2nd \| casale monferrato \| 36039 \| 86.32 \| 417.5 \| 116 row 3 : 3rd \| novi ligure \| 28581 \| 54.22 \| 527.1 \| 197 row 4 : 4th \| tortona \| 27476 \| 99.29 \| 276.7 \| 122 row 5 : 5th \| acqui terme \| 20426 \| 33.42 \| 611.2 \| 156 row 6 : 6th \| valenza \| 20282 \| 50.05 \| 405.2 \| 125 row 7 : 7th \| ovada \| 11912 \| 35.33 \| 337.2 \| 186 row 8 : 8th \| serravalle scrivia \| 6445 \| 16.02 \| 402.3 \| 225 row 9 : 9th \| arquata scrivia \| 6260 \| 30.36 \| 206.2 \| 248 row 10 : 10th \| castelnuovo scrivia \| 5473 \| 45.42 \| 120.5 \| 85 ] Execute this SQL based on the above table: select city where city in ( 'serravalle scrivia' , 'valenza' ) order by altitude (mslm) desc limit 1	serravalle scrivia
[ header: season \| series \| team \| races \| wins \| poles \| f/laps \| podiums \| points \| position row 1 : 2003 \| formula renault 2.0 italy \| cram competition \| 12 \| 0 \| 1 \| 1 \| 3 \| 118 \| 7th row 2 : 2003 \| formula renault 2000 masters season \| cram competition \| 8 \| 0 \| 0 \| 0 \| 0 \| 0 \| 28th row 3 : 2003 \| formula renault 2.0 germany \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 3 \| 43rd row 4 : 2003 \| formula renault 2.0 italy winter cup \| cram competition \| None \| None \| None \| None \| None \| None \| 1st row 5 : 2004 \| formula renault 2.0 italy \| cram competition \| 17 \| 8 \| 6 \| 11 \| 12 \| 326 \| 1st row 6 : 2004 \| formula renault 2000 eurocup \| cram competition \| 15 \| 2 \| 0 \| 1 \| 3 \| 134 \| 8th row 7 : 2004 \| formula renault v6 eurocup \| cram competition \| 2 \| 0 \| 0 \| 0 \| 0 \| 12 \| 21st row 8 : 2004 \| formula one \| minardi \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver \| test driver row 9 : 2005 \| world series by renault \| dams \| 8 \| 0 \| 0 \| 0 \| 0 \| 4 \| 25th row 10 : 2005 \| italian formula 3000 \| sighinolfi auto racing \| 4 \| 1 \| 1 \| 1 \| 1 \| 14 \| 9th row 11 : 2006 \| world series by renault \| draco racing \| 17 \| 3 \| 5 \| 6 \| 5 \| 103 \| 3rd row 12 : 2007 \| gp2 series \| trident racing \| 13 \| 1 \| 1 \| 0 \| 2 \| 25 \| 11th row 13 : 2007 \| euroseries 3000 \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 10th row 14 : 2007 \| formula 3000 italy \| g-tec \| 2 \| 1 \| 1 \| 1 \| 1 \| 12 \| 8th row 15 : 2008 \| gp2 series \| piquet sports \| 20 \| 1 \| 2 \| 3 \| 6 \| 60 \| 5th row 16 : 2008 \| international gt open - gt \| scuderia latorre \| 2 \| 0 \| 0 \| 0 \| 1 \| 8 \| 22nd row 17 : 2008 \| euroseries 3000 \| gp racing \| 1 \| 1 \| 0 \| 1 \| 1 \| 11 \| 12th row 18 : 2008 \| international gt open \| scuderia latorre \| None \| None \| None \| None \| None \| 18 \| 32nd row 19 : 2008-09 \| gp2 asia series \| art grand prix \| 5 \| 0 \| 0 \| 0 \| 1 \| 7 \| 15th row 20 : 2009 \| euroseries 3000 \| teamcraft motorsport \| 2 \| 1 \| 0 \| 0 \| 1 \| 10 \| 10th row 21 : 2009 \| gp2 series \| art grand prix \| 20 \| 2 \| 0 \| 0 \| 2 \| 36 \| 6th row 22 : 2010 \| gp2 series \| rapax team \| 20 \| 6 \| 0 \| 5 \| 8 \| 87 \| 1st row 23 : 2011 \| formula one \| at&t williams \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 24 : 2012 \| formula one \| williams f1 team \| 20 \| 1 \| 1 \| 0 \| 1 \| 45 \| 15th row 25 : 2013 \| formula one \| williams f1 team \| 19 \| 0 \| 0 \| 0 \| 0 \| 1 \| 18th row 26 : 2014 \| formula one \| lotus f1 team \| 2 \| 0 \| 0 \| 0 \| 0 \| 0 \| nc ] Execute this SQL based on the above table: select points order by races desc limit 1	60
[ header: position \| team \| points \| played \| won \| drawn \| lost \| for \| against \| difference row 1 : 1 \| paulistano \| 30 \| 18 \| 14 \| 2 \| 2 \| 62 \| 19 \| 43 row 2 : 2 \| palestra italia-sp \| 29 \| 18 \| 14 \| 1 \| 3 \| 59 \| 21 \| 38 row 3 : 3 \| corinthians \| 26 \| 18 \| 12 \| 2 \| 4 \| 51 \| 16 \| 35 row 4 : 4 \| ypiranga-sp \| 25 \| 18 \| 11 \| 3 \| 4 \| 56 \| 34 \| 22 row 5 : 5 \| aa sao bento \| 16 \| 18 \| 7 \| 2 \| 9 \| 38 \| 44 \| -6 row 6 : 6 \| santos \| 13 \| 18 \| 6 \| 1 \| 11 \| 36 \| 43 \| -7 row 7 : 7 \| sc internacional de sa \| 11 \| 15 \| 3 \| 5 \| 7 \| 26 \| 44 \| -18 row 8 : 8 \| minas gerais \| 10 \| 15 \| 4 \| 2 \| 9 \| 18 \| 49 \| -31 row 9 : 9 \| aa das palmeiras \| 6 \| 15 \| 3 \| 0 \| 12 \| 27 \| 57 \| -30 row 10 : 10 \| mackenzie \| 2 \| 15 \| 1 \| 0 \| 14 \| 11 \| 57 \| -46 ] Execute this SQL based on the above table: select sum ( team ) where team = 'corinthians'	0.0
[ header: \| name \| nation \| points \| games \| pts/game row 1 : 1 \| karen andrew \| england \| 44 \| 5 \| 8.8 row 2 : 2 \| daniella waterman \| england \| 40 \| 5 \| 8 row 3 : 3 \| christelle le duff \| france \| 33 \| 5 \| 6.6 row 4 : 4 \| charlotte barras \| england \| 30 \| 5 \| 6 row 5 : 5 \| naomi thomas \| wales \| 25 \| 5 \| 5 row 6 : 6 \| susan day \| england \| 20 \| 5 \| 4 row 7 : 7 \| lucy millard \| scotland \| 20 \| 5 \| 4 row 8 : 8 \| veronica schiavon \| italy \| 19 \| 4 \| 4.75 row 9 : 9 \| estelle sartini \| france \| 17 \| 5 \| 3.4 row 10 : 10 \| margaret alphonsie \| england \| 15 \| 5 \| 3 row 11 : 11 \| fanny horta \| france \| 15 \| 5 \| 3 row 12 : 12 \| jeannette feighery \| ireland \| 15 \| 5 \| 3 row 13 : 13 \| non evans \| wales \| 14 \| 3 \| 4.67 row 14 : 14 \| lynsey harley \| scotland \| 12 \| 2 \| 6 row 15 : 15 \| delphine plantet \| france \| 10 \| 5 \| 2 row 16 : 16 \| joanne o'sullivan \| ireland \| 10 \| 5 \| 2 row 17 : 17 \| katy mclean \| england \| 9 \| 3 \| 3 row 18 : 18 \| michela tondinelli \| italy \| 6 \| 5 \| 1.2 row 19 : 19 \| georgia stevens \| england \| 5 \| 5 \| 1 row 20 : 20 \| mel berry \| wales \| 5 \| 5 \| 1 ] Execute this SQL based on the above table: select count ( distinct name )	20
[ header: iso/iec standard \| title \| status \| description \| wg row 1 : iso/iec tr 1975 \| software engineering - guide to the software engineering body \| published (2005) \| identifies and describes the subset of body \| 20 row 2 : iso/iec 15288 \| systems and software engineering - system life cycle processes \| published (2008) \| establishes a common framework for describing \| 7 row 3 : iso/iec 12207 \| systems and software engineering - software life cycle processes \| published (2008) \| establishes a common framework for software life \| 7 row 4 : iso/iec 20000-1 \| information technology - service management - part 1 \| published (2011) \| specifies requirements for the service provider to plan, \| 25 row 5 : iso/iec 15504-1 \| information technology - process assessment - part 1 \| published (2004) \| provides overall information on the concepts of process assessment and \| 10 row 6 : iso/iec/iee \| systems and software engineering - architecture description \| published (2011) \| addresses the creation, analysis, and sustainment of \| 42 row 7 : iso/iec tr 29 \| software engineering - lifecycle profiles for very small \| published (2011) \| introduces the characteristics and requirements of a \| 24 row 8 : iso/iec tr 9 \| software engineering - product quality - part 2 \| published (2003) \| provides external metrics for measuring attributes of six external quality \| None row 9 : iso/iec 10746-1 \| information technology - open distributed processing - reference \| published (1998) \| provides: an introduction and motivation for od \| 19 row 10 : iso/iec 19770-1 \| information technology - software asset management - part \| published (2012) \| establishes a baseline for an integrated set \| 21 row 11 : iso/iec/iee \| systems and software engineering - requirements for managers of \| published (2011) \| specifies procedures for managing user documentation throughout the software \| 2 row 12 : iso/iec/iee \| systems and software engineering -- requirements for acquirers \| published (2011) \| defines the documentation process from the acquirer's \| 2 row 13 : iso/iec/iee \| systems and software engineering - requirements for testers \| published (2009) \| defines the process in which user documentation products are tested \| 2 row 14 : iso/iec/iee \| systems and software engineering - requirements for designers and \| published (2008) \| specifies the structure, content, and format for \| 2 row 15 : iso/iec/iee \| systems and software engineering - developing user documentation in \| published (2011) \| specifies the way in which user documentation can be \| 2 ] Execute this SQL based on the above table: select title order by wg desc limit 1	systems and software engineering - architecture description
[ header: # \| wrestlers \| reign \| date \| days held \| location \| event \| notes row 1 : 1 \| los perros del mal (bestia \| 1 \| november 28, 2010 \| 311 \| cuautitlan izcalli \| iwl house show \| los perros del mal defeated los traumas row 2 : None \| vacated \| None \| october 5, 2011 \| None \| tlalnepantla, \| announced on iwl official's facebook \| after bestia 666 and x- row 3 : 2 \| scorpio, jr. \| 1 \| october 22, 2011 \| 580 \| tlalnepantla, \| iwl oktoberfest \| scorpio, jr. row 4 : None \| vacated \| None \| may 2011 \| None \| None \| announced on iwl official's facebook \| None row 5 : 3 \| ultimo gladiador and ul \| 1 \| june 16, 2013 \| 145 \| huehuetoca, state of me \| iwl oktoberfest \| defeated los piratas (hijo de row 6 : None \| vacated \| None \| november 5, 2011 \| None \| None \| the iwl explained that ultim \| None row 7 : 4 \| dinamic black & freser \| 1 \| november 5, 2013 \| 231 \| hidalgo, state of mexico \| live event \| defeated mascara jr. & ul ] Execute this SQL based on the above table: select date where date > 1468	may 2011
[ header: \| \| \| \| \| \| \| \| row 1 : ccc \| ieee conference on computational complexity \| 1993 \| 1996 \| 1999 \| None \| 2007 \| 2011 \| 2015 row 2 : ec \| acm conference on electronic commerce \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 3 : isca \| acm/ieee international \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 4 : lctes \| acm sigplan/sigbed \| None \| None \| 1999 \| 2003 \| 2007 \| None \| None row 5 : metrics \| acm sigmetrics international conference \| None \| 1996 \| 1999 \| 2003 \| 2007 \| None \| 2015 row 6 : pldi \| acm sigplan conference on programming \| None \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 row 7 : podc \| acm symposium on principles of distributed computing \| None \| 1996 \| 1999 \| None \| None \| 2011 \| None row 8 : ppopp \| acm sigplan symposium on principles \| 1993 \| None \| 1999 \| 2003 \| None \| None \| None row 9 : spaa \| acm symposium on parallelism in \| None \| None \| None \| 2003 \| 2007 \| 2011 \| 2015 row 10 : socg \| acm symposium on computational geometry \| 1993 \| 1996 \| None \| 2003 \| None \| None \| None row 11 : stoc \| acm symposium on theory of computing \| 1993 \| 1996 \| 1999 \| 2003 \| 2007 \| 2011 \| 2015 ] Execute this SQL based on the above table: select count ( ) where = 'ec'	1
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 18 march 1987 \| stadion miejski, \| finland \| 2-0 \| 3-1 \| international friendly row 2 : 2 \| 2 september 1987 \| zawisza bydgosz \| romania \| 1-0 \| 3-1 \| international friendly row 3 : 3 \| 2 september 1987 \| zawisza bydgosz \| romania \| 3-0 \| 3-1 \| international friendly row 4 : 4 \| 23 september 1987 \| polish army stadium, warsaw, poland \| hungary \| 3-1 \| 3-2 \| uefa euro 1988 qualifying row 5 : 5 \| 11 november 1987 \| makario stadium, nicosi \| cyprus \| 0-1 \| 0-1 \| uefa euro 1988 qualifying row 6 : 6 \| 13 april 1993 \| stadion radomiaka rado \| finland \| 1-0 \| 2-1 \| international friendly row 7 : 7 \| 13 april 1993 \| stadion radomiaka rado \| finland \| 2-0 \| 2-1 \| international friendly row 8 : 8 \| 19 may 1993 \| stadio olimpico, ser \| san marino \| 0-1 \| 0-3 \| 1994 fifa world cup qualification row 9 : 9 \| 19 may 1993 \| stadio olimpico, ser \| san marino \| 0-2 \| 0-3 \| 1994 fifa world cup qualification row 10 : 10 \| 17 november 1993 \| stadion miejski, \| netherlands \| 1-1 \| 1-3 \| 1994 fifa world cup qualification ] Execute this SQL based on the above table: select date order by result desc limit 1	18 march 1987
[ header: match \| date \| ground \| opponent \| score1 \| pos. \| pts. \| gd row 1 : 2 \| 22 august \| h \| 1. fc kaiserslau \| 1 - 0 \| 1 \| 4 \| 4 row 2 : 4 \| 29 august \| h \| dynamo dresden \| 3 - 1 \| 1 \| 6 \| 6 row 3 : 5 \| 2 september \| a \| 1. fc koln \| 3 - 1 \| 1 \| 8 \| 8 row 4 : 6 \| 5 september \| h \| hamburger sv \| 4 - 0 \| 1 \| 10 \| 12 row 5 : 7 \| 19 september \| h \| sg wattenscheid 09 \| 1 - 1 \| 1 \| 11 \| 12 row 6 : 8 \| 25 september \| a \| borussia dortmund \| 2 - 1 \| 1 \| 13 \| 13 row 7 : 9 \| 3 october \| h \| borussia monchengladbach \| 2 - 2 \| 1 \| 14 \| 13 row 8 : 10 \| 17 october \| a \| 1. fc saarbrucken \| 1 - 1 \| 1 \| 15 \| 13 row 9 : 11 \| 24 october \| h \| werder bremen \| 1 - 3 \| 1 \| 15 \| 11 row 10 : 3 \| 27 october \| a \| eintracht frankfurt \| 1 - 1 \| 1 \| 16 \| 11 row 11 : 12 \| 31 october \| a \| vfb stuttgart \| 3 - 2 \| 1 \| 18 \| 12 row 12 : 14 \| 21 november \| a \| bayer leverkusen \| 4 - 2 \| 1 \| 22 \| 15 row 13 : 15 \| 28 november \| h \| karlsruher sc \| 3 - 3 \| 1 \| 23 \| 15 row 14 : 16 \| 5 december \| a \| vfl bochum \| 2 - 2 \| 1 \| 24 \| 15 row 15 : 19 \| 27 february \| a \| 1. fc kaiserslau \| 3 - 1 \| 1 \| 29 \| 19 row 16 : 20 \| 6 march \| h \| eintracht frankfurt \| 1 - 0 \| 1 \| 31 \| 20 row 17 : 22 \| 20 march \| h \| 1. fc koln \| 3 - 0 \| 1 \| 34 \| 23 row 18 : 23 \| 28 march \| a \| hamburger sv \| 1 - 3 \| 1 \| 34 \| 21 row 19 : 24 \| 2 april \| a \| sg wattenscheid 09 \| 0 - 2 \| 1 \| 34 \| 19 row 20 : 25 \| 10 april \| h \| borussia dortmund \| 2 - 0 \| 1 \| 36 \| 21 row 21 : 26 \| 17 april \| a \| borussia monchengladbach \| 2 - 2 \| 1 \| 37 \| 21 row 22 : 27 \| 23 april \| h \| 1. fc saarbrucken \| 6 - 0 \| 1 \| 39 \| 27 row 23 : 28 \| 26 april \| a \| werder bremen \| 1 - 4 \| 1 \| 39 \| 24 row 24 : 30 \| 8 may \| a \| 1. fc nurnberg \| 0 - 0 \| 1 \| 42 \| 26 row 25 : 31 \| 15 may \| h \| bayer leverkusen \| 4 - 1 \| 1 \| 44 \| 29 row 26 : 32 \| 23 may \| a \| karlsruher sc \| 2 - 4 \| 1 \| 44 \| 27 row 27 : 33 \| 29 may \| h \| vfl bochum \| 3 - 1 \| 2 \| 46 \| 29 row 28 : 34 \| 5 june \| a \| schalke 04 \| 3 - 3 \| 2 \| 47 \| 29 ] Execute this SQL based on the above table: select score1 where score1 in ( '2 - 4' , '2 - 2' ) group by score1 order by count ( * ) desc limit 1	2 - 2
[ header: rank \| nation \| gold \| silver \| bronze \| total row 1 : 1 \| netherlands \| 20 \| 9 \| 0 \| 29 row 2 : 2 \| italy \| 10 \| 15 \| 3 \| 28 row 3 : 3 \| belgium \| 1 \| 2 \| 6 \| 9 row 4 : 4 \| spain \| 1 \| 1 \| 13 \| 15 row 5 : 5 \| great britain \| 0 \| 2 \| 0 \| 2 row 6 : 6 \| germany \| 0 \| 1 \| 7 \| 8 row 7 : 7 \| greece \| 0 \| 1 \| 0 \| 1 row 8 : 7 \| russia \| 0 \| 1 \| 0 \| 1 row 9 : 9 \| sweden \| 0 \| 0 \| 2 \| 2 row 10 : 10 \| france \| 0 \| 0 \| 1 \| 1 ] Execute this SQL based on the above table: select nation where total > ( select total where nation = 'great britain' ) order by total asc limit 1	germany
[ header: tie no \| home team \| score \| away team row 1 : 50 \| sjomarkens if (d \| 1-4 \| bk slatta damm ( row 2 : 53 \| falkopings fk (d4) \| 2-0 \| ganghesters sk (d row 3 : 56 \| lindas bk (d4) \| 1-3 \| hultsfreds f row 4 : 58 \| bredaryds ik ( \| 3-0 \| ulricehamns ifk ( row 5 : 59 \| hovslatts ik \| 0-9 \| tidaholms g row 6 : 60 \| torpa ais (d4) \| 0-2 \| bk zeros (d3) row 7 : 61 \| fiskeby if (wc) \| 2-1 (gg) \| vasterviks ff (d4) row 8 : 62 \| gnosjo if (d4) \| 1-3 \| skovde aik (d row 9 : 63 \| savsjo ff ( \| 5-3 \| skillingaryds is (d4) row 10 : 65 \| lsw if (d4) \| 2-1 \| husqvarna ff (d row 11 : 67 \| rorviks if (d4) \| 0-2 \| lunds bk (d2) row 12 : 69 \| if eksjo (d4) \| 1-4 \| kalmar ff (d2) row 13 : 71 \| bankeryds sk (d4) \| 4-1 \| hjulsbro ik ( row 14 : 73 \| gullspangs if ( \| 0-7 \| rynninge ik (d3) row 15 : 74 \| skara fc (d4) \| 0-4 \| karlslunds if ( row 16 : 75 \| bratens ik (d4) \| 0-4 \| vivalla-lundby if row 17 : 76 \| finnerodja if(d4) \| 3-1 \| ifk mariestad (d4) row 18 : 77 \| skollersta if (d4) \| 1-3 \| hemgardarnas bk (d row 19 : 78 \| simonstorps if (d4) \| 0-5 \| nykopings bis (d2) row 20 : 82 \| harad if (d4) \| 2-3 (gg) \| ifk vasteras (d2) row 21 : 83 \| kolsva if (d4) \| 0-3 \| karlstad bk (d row 22 : 85 \| ransta ik (d4) \| 1-3 \| ifk hallsberg (d4) row 23 : 86 \| skyllbergs ik (wc \| 0-4 \| ifk kristinehamn ( row 24 : 87 \| filipstads ff (d \| 3-1 \| kungsors sk ( row 25 : 89 \| bk hird (d4) \| 0-5 \| hargs bk (d2) row 26 : 91 \| frovi ik (wc) \| 1-9 \| skiljebo sk (d row 27 : 95 \| new mill ff (wc) \| 4-2 \| vartans sk (d3) ] Execute this SQL based on the above table: select sum ( tie no )	1945.0
[ header: club \| league \| sport \| venue \| established \| championships row 1 : madison mustangs \| ifl \| american football \| breitenbach stadium \| 1997 \| 4 consecutive ironbowls row 2 : madison mallards \| nl \| baseball \| warner park \| 2001 \| 1 championship row 3 : madison 56ers \| npsl \| soccer \| breese stevens field \| 2005 \| 0 championships row 4 : wisconsin rugby club \| wrfu \| rugby \| wisconsin rugby club sports complex \| 1962 \| 2 championships row 5 : madison minotaurs \| wrfu \| rugby \| yahara rugby field \| 2007 \| 0 bingham cups row 6 : wisconsin badgers \| big ten, ncaa div \| 23 varsity teams \| camp randall stadium, kohl center \| 1849 \| 27 championships row 7 : edgewood eagles \| nacc, ncaa div \| 16 varsity teams \| edgedome \| 1974 \| 35 championships row 8 : madison college wolfpack \| n4c, njcaa \| 8 varsity teams \| redsten gymnasium, roberts \| 1912 \| 21 championships row 9 : mad rollin' dolls \| wftda \| roller derby \| alliant energy center \| 2005 \| 0 championships row 10 : madison blues \| glhl \| hockey \| capitol ice arena \| 2010 \| 0 championships ] Execute this SQL based on the above table: select sport where sport in ( 'wisconsin rugby club' , '16 varsity teams' ) order by established asc limit 1	16 varsity teams
[ header: sr. no. \| name \| from \| till \| occupation row 1 : 1 \| padamvir singh \| 2009 \| current \| ias row 2 : 2 \| rudhra gangadhara \| 06/04/2006 \| 02/09/2009 \| ias row 3 : 3 \| d.s. mathur \| 29/10/2004 \| 06/04/2006 \| ias row 4 : 4 \| binod kumar \| 20/01/2003 \| 15/10/2004 \| ias row 5 : 5 \| wajahat habibullah \| 08/11/2000 \| 13/01/2003 \| ias row 6 : 6 \| b.s. baswan \| 06/10/1996 \| 08/11/2000 \| ias row 7 : 7 \| n.c. saxena \| 25/05/1993 \| 06/10/1996 \| ias row 8 : 8 \| b.n. yugandhar \| 26/05/1988 \| 25/01/1993 \| ias row 9 : 9 \| r.n. chopra \| 06/06/1985 \| 29/04/1988 \| ias row 10 : 10 \| k. ramanujam \| 27/02/1984 \| 24/02/1985 \| ias row 11 : 11 \| r.k. shastri \| 09/11/1982 \| 27/02/1984 \| ias row 12 : 12 \| i.c. puri \| 16/06/1982 \| 11/10/1982 \| ias row 13 : 13 \| p.s. appu \| 02/08/1980 \| 01/03/1982 \| ias row 14 : 14 \| g.c.l. jone \| 23/07/1977 \| 30/06/1980 \| ias row 15 : 15 \| b.c. mathur \| 17/05/1977 \| 23/07/1977 \| ias row 16 : 16 \| rajeshwar prasa \| 11/05/1973 \| 11/04/1977 \| ias row 17 : 17 \| d.d. sathe \| 19/03/1969 \| 11/05/1973 \| ics row 18 : 18 \| k.k. das \| 12/07/1968 \| 24/02/1969 \| ics row 19 : 19 \| m.g. pimputkar \| 04/09/1965 \| 29/04/1968 \| ics row 20 : 20 \| s.k. dutta \| 13/08/1963 \| 02/07/1965 \| ics row 21 : 21 \| a.n. jha \| 01/09/1959 \| 30/09/1962 \| ics ] Execute this SQL based on the above table: select name where sr. no. > ( select sr. no. where name = 'r.k. shastri' )	i.c. puri, p.s. appu, g.c.l. joneja, b.c. mathur, rajeshwar prasad, d.d. sathe, k.k. das, m.g. pimputkar, s.k. dutta, a.n. jha
[ header: mlb season \| team season \| league \| division \| finish \| wins \| losses \| win % \| gb \| postseason \| awards row 1 : 1969 \| 1969 \| al \| west \| 6th \| 64 \| 98 \| 0.395 \| 33 \| None \| None row 2 : 1970 \| 1970 \| al \| west \| 4th \| 65 \| 97 \| 0.401 \| 33 \| None \| None row 3 : 1971 \| 1971 \| al \| west \| 6th \| 69 \| 92 \| 0.429 \| 32 \| None \| None row 4 : 1973 \| 1973 \| al \| east \| 5th \| 74 \| 88 \| 0.457 \| 23 \| None \| None row 5 : 1974 \| 1974 \| al \| east \| 5th \| 76 \| 86 \| 0.469 \| 15 \| None \| None row 6 : 1976 \| 1976 \| al \| east \| 6th \| 66 \| 95 \| 0.41 \| 32 \| None \| None row 7 : 1977 \| 1977 \| al \| east \| 6th \| 67 \| 95 \| 0.414 \| 33 \| None \| None row 8 : 1979 \| 1979 \| al \| east \| 2nd \| 95 \| 66 \| 0.59 \| 8 \| None \| None row 9 : 1981 \| 1981 \| al \| east \| 3rd \| 31 \| 25 \| 0.554 \| 3 \| lost alds vs. new york \| rollie fingers (mvp, row 10 : 1981 \| 1981 \| al \| east \| 1st \| 31 \| 22 \| 0.585 \| None \| lost alds vs. new york \| rollie fingers (mvp, row 11 : 1982 \| 1982 \| al \| east \| 1st \| 95 \| 67 \| 0.586 \| None \| won alcs vs. cali \| robin yount (mvp row 12 : 1983 \| 1983 \| al \| east \| 5th \| 87 \| 75 \| 0.537 \| 11 \| None \| cecil cooper (rca) row 13 : 1984 \| 1984 \| al \| east \| 7th \| 67 \| 94 \| 0.416 \| 361⁄2 \| None \| None row 14 : 1988 \| 1988 \| al \| east \| 3rd \| 87 \| 75 \| 0.537 \| 2 \| None \| None row 15 : 1993 \| 1993 \| al \| east \| 7th \| 69 \| 93 \| 0.426 \| 26 \| None \| None row 16 : 1997 \| 1997 \| al \| central \| 3rd \| 78 \| 83 \| 0.484 \| 8 \| None \| None row 17 : 1999 \| 1999 \| nl \| central \| 5th \| 74 \| 87 \| 0.46 \| 221⁄2 \| None \| None row 18 : 2000 \| 2000 \| nl \| central \| 3rd \| 73 \| 89 \| 0.451 \| 22 \| None \| None row 19 : 2001 \| 2001 \| nl \| central \| 4th \| 68 \| 94 \| 0.42 \| 25 \| None \| None row 20 : 2002 \| 2002 \| nl \| central \| 6th \| 56 \| 106 \| 0.346 \| 41 \| None \| None row 21 : 2003 \| 2003 \| nl \| central \| 6th \| 68 \| 94 \| 0.412 \| 20 \| None \| None row 22 : 2004 \| 2004 \| nl \| central \| 6th \| 67 \| 94 \| 0.411 \| 371⁄2 \| None \| None row 23 : 2007 \| 2007 \| nl \| central \| 2nd \| 83 \| 79 \| 0.512 \| 2 \| None \| ryan braun (roy) prince field row 24 : 2008 \| 2008 \| nl \| central \| 2nd \| 90 \| 72 \| 0.556 \| 71⁄2 \| lost nlds vs. \| None row 25 : 2009 \| 2009 \| nl \| central \| 3rd \| 80 \| 82 \| 0.494 \| 11 \| None \| None ] Execute this SQL based on the above table: select gb where wins = ( select wins where gb = 32 ) - 1	25, 20
[ header: pos \| driver \| entrant \| constructor \| time/retired \| grid row 1 : 1 \| jim clark \| team lotus \| lotus-climax \| 2.02:58.6 \| 1 row 2 : 2 \| richie ginther \| owen racing organisation \| brm \| + 22.6 s \| 3 row 3 : 3 \| graham hill \| owen racing organisation \| brm \| + 28.2 s \| 2 row 4 : 4 \| jack brabham \| brabham racing organisation \| brabham-climax \| + 52.0 s \| 11 row 5 : 5 \| tony maggs \| cooper car company \| cooper-climax \| 72 laps \| 6 row 6 : 6 \| bruce mclaren \| cooper \| cooper-climax \| 72 laps \| 7 row 7 : 7 \| mike hailwood \| reg parnell (racing) \| lola-climax \| 70 laps \| 9 row 8 : 8 \| ian burgess \| scirocco-powell (racing \| scirocco-brm \| 69 laps \| 18 row 9 : 9 \| peter revson \| reg parnell (racing) \| lotus-brm \| 69 laps \| 15 row 10 : 10 \| carel godin de beaufort \| ecurie maarsbergen \| porsche \| 67 laps \| 20 row 11 : 11 \| jo siffert \| siffert racing team \| lotus-brm \| engine (66 laps) \| 12 row 12 : 12 \| andre pilette \| andre pilette \| lotus-climax \| 63 laps \| 21 row 13 : 13 \| innes ireland \| british racing partnership \| lotus-brm \| oil pressure (56 laps) \| 5 row 14 : 14 \| bernard collomb \| bernard collomb \| lotus-climax \| oil pressure (46 laps) \| 19 row 15 : ret \| ian raby \| ian raby (racing) \| gilby-brm \| ignition \| 13 row 16 : ret \| dan gurney \| brabham racing organisation \| brabham-climax \| oil leak \| 16 row 17 : ret \| mike beckwith \| british racing partnership \| lotus-brm \| accident \| 17 row 18 : ret \| masten gregory \| tim parnell \| lotus-brm \| cam follower \| 14 row 19 : ret \| trevor taylor \| team lotus \| lotus-climax \| crownwheel & pinion \| 4 row 20 : ret \| jo bonnier \| rob walker racing team \| cooper-climax \| oil pressure \| 8 row 21 : ret \| tony settember \| scirocco-powell (racing \| scirocco-brm \| valve gear \| 22 row 22 : ret \| bob anderson \| dw racing enterprises \| lola-climax \| gearbox \| 10 row 23 : wd \| peter arundell \| team lotus \| lotus-climax \| car not ready \| None ] Execute this SQL based on the above table: select count ( distinct pos )	16
[ header: date \| time \| opponent# \| rank# \| site \| tv \| result \| attendance row 1 : august 31 \| 6:00 pm \| at #13 michigan state \| #22 \| spartan stadium • east lans \| espn \| l 13-17 \| 78709 row 2 : september 15 \| 2:00 pm \| miami (oh) \| None \| bronco stadium • boise, i \| nbcsn \| w 39-12 \| 34178 row 3 : september 20 \| 7:00 pm \| byu \| None \| bronco stadium • boise, i \| espn \| w 7-6 \| 36864 row 4 : september 29 \| 4:00 pm \| at new mexico \| None \| university stadium • albuequerque, \| ktvb \| w 32-29 \| 28270 row 5 : october 6 \| 10:00 am \| at southern miss \| #25 \| m. m. robert \| fsn \| w 40-14 \| 25337 row 6 : october 13 \| 1:30 pm \| fresno state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 20-10 \| 35742 row 7 : october 20 \| 1:30 pm \| unlv \| #22 \| bronco stadium • boise, i \| nbcsn \| w 32-7 \| 36012 row 8 : october 27 \| 1:30 pm \| at wyoming \| #18 \| war memorial stadium • laramie, \| cbssn \| w 45-14 \| 17855 row 9 : november 3 \| 8:30 pm \| san diego state \| #14 \| bronco stadium • boise, i \| cbssn \| l 19-21 \| 36084 row 10 : november 10 \| 5:00 pm \| at hawaiʻi \| #24 \| aloha stadium • honolul \| nbcsn \| w 49-14 \| 29471 row 11 : november 17 \| 1:30 pm \| colorado state \| #22 \| bronco stadium • boise, i \| nbcsn \| w 42-14 \| 33545 row 12 : december 1 \| 1:30 pm \| at nevada \| #15 \| mackay stadium • reno, n \| abc \| w 27-21 \| 30017 row 13 : december 22 \| 1:30 pm \| vs. washington \| #15 \| sam boyd stadium • whit \| espn \| w 28-26 \| 33217 ] Execute this SQL based on the above table: select count ( tv ) where attendance > 572	13
[ header: number \| symbol \| name \| 21st \| 22nd \| 23rd \| 24th \| 25th \| 26th \| 27th \| 28th \| 29th \| 30th row 1 : 21 \| sc \| scandium \| 582163 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 2 : 22 \| ti \| titanium \| 602930 \| 639294 \| None \| None \| None \| None \| None \| None \| None \| None row 3 : 23 \| v \| vanadium \| 151440 \| 661050 \| 699144 \| None \| None \| None \| None \| None \| None \| None row 4 : 24 \| cr \| chromium \| 157700 \| 166090 \| 721870 \| 761733 \| None \| None \| None \| None \| None \| None row 5 : 25 \| mn \| manganese \| 158600 \| 172500 \| 181380 \| 785450 \| 827067 \| None \| None \| None \| None \| None row 6 : 26 \| fe \| iron \| 163000 \| 173600 \| 188100 \| 195200 \| 851800 \| 895161 \| None \| None \| None \| None row 7 : 27 \| co \| cobalt \| 167400 \| 178100 \| 189300 \| 204500 \| 214100 \| 920870 \| 966023 \| None \| None \| None row 8 : 28 \| ni \| nickel \| 169400 \| 182700 \| 194000 \| 205600 \| 221400 \| 231490 \| 992718 \| 1039668 \| None \| None row 9 : 29 \| cu \| copper \| 174100 \| 184900 \| 198800 \| 210500 \| 222700 \| 239100 \| 249660 \| 1067358 \| 1116105 \| None row 10 : 30 \| zn \| zinc \| 179100 \| None \| None \| None \| None \| None \| None \| None \| None \| None row 11 : 36 \| kr \| krypton \| 85300 \| 90400 \| 96300 \| 101400 \| 111100 \| 116290 \| 282500 \| 296200 \| 311400 \| 326200 row 12 : 42 \| mo \| molybdenum \| 87000 \| 93400 \| 98420 \| 104400 \| 121900 \| 127700 \| 133800 \| 139800 \| 148100 \| 154500 ] Execute this SQL based on the above table: select name where number < ( select number where name = 'molybdenum' ) order by number desc limit 1	krypton
[ header: # \| date \| venue \| opponent \| score \| result \| competition row 1 : 1 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 1 - 0 \| 5 - 1 \| friendly row 2 : 2 \| 13 june 2013 \| zhejiang dragon sports centre, \| russia \| 3 - 0 \| 5 - 1 \| friendly row 3 : 3 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 4 : 4 \| 14 june 2013 \| zhejiang dragon sports centre, \| netherlands \| None \| 4 - 3 \| friendly row 5 : 5 \| 15 june 2013 \| zhejiang dragon sports centre, \| china \| None \| 5 - 2 \| friendly row 6 : 6 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 3 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 7 : 7 \| 1 july 2013 \| songdo global university campus, incheon \| iraq \| 4 - 1 \| 12 - 3 \| 2013 asian indoor-martial arts games row 8 : 8 \| 6 july 2013 \| songdo global university campus, incheon \| japan \| 5 - 2 \| 5 - 2 \| 2013 asian indoor-martial arts games row 9 : None \| 19 october 2013 \| sao keatano, \| bank \| 3 - 0 \| 3 - 0 \| unofficial friendly row 10 : 9 \| 21 october 2013 \| maringa's futsal stadium, \| guatemala \| None \| 7 - 0 \| friendly row 11 : 10 \| 23 october 2013 \| ginasio chico neto, \| argentina \| 2 - 1 \| 2 - 2 \| 2013 grand prix de futsal ] Execute this SQL based on the above table: select result where id = 1	5 - 1
[ header: rnd. \| pick # \| nfl team \| player \| pos. \| college \| conf. \| notes row 1 : 1 \| 1 \| oakland raiders \| jamarcus russell \| qb \| lsu \| sec \| None row 2 : 1 \| 6 \| washington redskins \| laron landry \| s \| lsu \| sec \| None row 3 : 1 \| 22 \| cleveland browns \| brady quinn \| qb \| notre dame \| ind \| from dallas row 4 : 2 \| 35 \| tampa bay buccaneers \| arron sears \| g \| tennessee \| sec \| None row 5 : 2 \| 52 \| st. louis rams \| brian leonard \| fb \| rutgers \| big east \| None row 6 : 3 \| 71 \| miami dolphins \| lorenzo booker \| rb \| florida state \| acc \| None row 7 : 3 \| 77 \| pittsburgh steelers \| matt spaeth \| te \| minnesota \| big ten \| None row 8 : 3 \| 78 \| green bay packers \| james jones \| wr \| san jose state \| wac \| None row 9 : 3 \| 79 \| jacksonville jaguars \| mike sims-walker \| wr \| central florida \| c-usa \| None row 10 : 3 \| 85 \| seattle seahawks \| brandon mebane \| dt \| california \| pac-10 \| None row 11 : 4 \| 127 \| new england patriots \| kareem brown \| dt \| miami (fl) \| acc \| None row 12 : 5 \| 161 \| seattle seahawks \| will herring \| lb \| auburn \| sec \| None row 13 : 5 \| 164 \| carolina panthers \| tim shaw \| lb \| penn state \| big ten \| from new york jets row 14 : 6 \| 177 \| new york jets \| jacob bender \| ot \| nicholls state \| southland \| from tampa bay row 15 : 6 \| 178 \| dallas cowboys \| nick folk \| k \| arizona \| pac-10 \| from cleveland row 16 : 6 \| 204 \| tennessee titans \| jacob ford \| de \| central arkansas \| ind \| from san diego row 17 : 7 \| 214 \| tampa bay buccaneers \| chris denman \| ot \| fresno state \| wac \| None row 18 : 7 \| 217 \| minnesota vikings \| tyler thigpen \| qb \| coastal carolina \| big south \| None row 19 : 7 \| 222 \| buffalo bills \| derek schouman \| te \| boise state \| wac \| None row 20 : 7 \| 230 \| cincinnati bengals \| dan santucci \| g \| notre dame \| ind \| None row 21 : 7 \| 248 \| st. louis rams \| keith jackson, jr \| dt \| arkansas \| sec \| None ] Execute this SQL based on the above table: select count ( pos. ) where conf. = '3'	0
[ header: # \| date \| venue \| opponents \| score \| comp \| denmark scorers row 1 : 167 \| 1950-10-15 \| rasunda stadium, stockhol \| sweden \| 0-4 \| nc \| None row 2 : 179 \| 1952-07-25 \| pallokentta, hel \| yugoslavia \| 3-5 \| og \| knud lundberg, row 3 : 180 \| 1952-09-21 \| idrætsparken, \| netherlands \| 3-2 \| f \| kurt "nikkelaj" nie row 4 : 182 \| 1952-10-19 \| idrætsparken, \| norway \| 1-3 \| nc \| per jensen row 5 : 186 \| 1953-09-13 \| ullevaal stadion, \| norway \| 1-0 \| nc \| bent sørensen row 6 : 190 \| 1954-09-19 \| idrætsparken, \| switzerland \| 1-1 \| f \| jørgen olesen row 7 : 195 \| 1955-06-19 \| idrætsparken, \| finland \| 2-1 \| nc \| jens peter hansen (2) row 8 : 210 \| 1957-06-18 \| olympic stadium, hel \| finland \| 0-2 \| ot \| None row 9 : 211 \| 1957-06-19 \| tammela stadion, \| norway \| 2-0 \| ot \| egon jensen, j row 10 : 214 \| 1957-09-22 \| ullevaal stadion, \| norway \| 2-2 \| nc \| poul pedersen, peder row 11 : 219 \| 1958-06-29 \| idrætsparken, \| norway \| 1-2 \| nc \| poul pedersen row 12 : 224 \| 1959-06-21 \| idrætsparken, \| sweden \| 0-6 \| nc \| None row 13 : 228 \| 1959-09-13 \| ullevaal stadion, \| norway \| 4-2 \| ogq nc \| harald nielsen, row 14 : 229 \| 1959-09-23 \| idrætsparken, \| czechoslovakia \| 2-2 \| enq \| poul pedersen, bent han ] Execute this SQL based on the above table: select opponents where # = 186	norway
[ header: dvd title \| discs \| year \| no. of ep. \| dvd release region 2 \| dvd release region 4 row 1 : complete series 1 \| 2 \| 1971 \| 8 \| 30 april 2007 \| 4 july 2007 row 2 : complete series 2 \| 2 \| 1972 \| 8 \| 2 july 2007 \| 8 may 2008 row 3 : complete series 3 \| 2 \| 1973-1974 \| 8 \| 17 march 2008 \| 5 march 2009 row 4 : complete series 4 \| 2 \| 1975 \| 8 \| 19 may 2008 \| 6 august 2009 row 5 : complete series 5 \| 2 \| 1976 \| 8 \| 15 june 2009 \| 4 march 2010 row 6 : complete series 6 \| 2 \| 1977-1978 \| 8 \| 22 february 2010 \| 5 august 2010 row 7 : complete series 7 \| 2 \| 1978-1979 \| 8 \| 17 may 2010 \| 3 march 2011 row 8 : complete series 8 \| 2 \| 1980 \| 8 \| 6 september 2010 \| 2 june 2011 row 9 : complete series 9 \| 2 \| 1981-1982 \| 8 \| 28 february 2011 \| 1 march 2012 row 10 : complete series 10 \| 2 \| 1983-1984 \| 6 \| 9 may 2011 \| 5 september 2012 row 11 : complete series 11 \| 2 \| 1985 \| 5 \| 25 july 2011 \| 3 april 2013 row 12 : complete series 12 \| 2 \| 1985-1986 \| 6 \| 26 september 2011 \| 7 august 2013 row 13 : the christmas specials \| 2 \| 1973-1982-1984-1987 \| 4 \| 29 october 2007 \| 6 november 2008 row 14 : the complete collection \| 27 \| 1971-1987, 2010 \| 96 \| 24 september 2012 \| 2013 row 15 : two ronnies in australia \| 2 \| 1986 \| 6 \| None \| 28 june 2008 row 16 : the best of...volume 1 \| 1 \| 1971-1984 \| 1 compilation \| 1 october 2001 \| 4 march 2002 row 17 : the best of...volume 2 \| 1 \| 1971-1985 \| 1 compilation \| 29 september 2003 \| 17 march 2003 ] Execute this SQL based on the above table: select dvd release region 2 where discs = 1	1 october 2001, 29 september 2003
[ header: pos \| no \| rider \| bike \| laps \| time \| grid \| points row 1 : 1 \| 21 \| troy bayliss \| ducati 999 f07 \| 22 \| 34:11.276 \| 1 \| 25 row 2 : 2 \| 52 \| james toseland \| honda cbr1000rr \| 22 \| 2.096 \| 2 \| 20 row 3 : 3 \| 3 \| max biaggi \| suzuki gsx-r1000 \| 22 \| 10.143 \| 5 \| 16 row 4 : 4 \| 41 \| noriyuki haga \| yamaha yzf-r1 \| 22 \| 18.923 \| 4 \| 13 row 5 : 5 \| 11 \| troy corser \| yamaha yzf-r1 \| 22 \| 19.742 \| 3 \| 11 row 6 : 6 \| 57 \| lorenzo lanzi \| ducati 999 f07 \| 22 \| 24.765 \| 10 \| 10 row 7 : 7 \| 111 \| ruben xaus \| ducati 999 f06 \| 22 \| 27.404 \| 8 \| 9 row 8 : 8 \| 76 \| max neukirchner \| suzuki gsx-r1000 \| 22 \| 34.614 \| 7 \| 8 row 9 : 9 \| 10 \| fonsi nieto \| kawasaki zx-10r \| 22 \| 35.339 \| 6 \| 7 row 10 : 10 \| 99 \| steve martin \| honda cbr1000rr \| 22 \| 36.238 \| 11 \| 6 row 11 : 11 \| 44 \| roberto rolfo \| honda cbr1000rr \| 22 \| 38.067 \| 15 \| 5 row 12 : 12 \| 25 \| josh brookes \| honda cbr1000rr \| 22 \| 47.078 \| 12 \| 4 row 13 : 13 \| 38 \| shinichi nakatomi \| yamaha yzf-r1 \| 22 \| 58.571 \| 17 \| 3 row 14 : 14 \| 96 \| jakub smrz \| ducati 999 f05 \| 22 \| +1:08.000 \| 14 \| 2 row 15 : 15 \| 53 \| alex polita \| suzuki gsx-r1000 \| 22 \| +1:22.584 \| 18 \| 1 row 16 : 16 \| 73 \| christian zaiser \| mv agusta f4 \| 22 \| +1:28.374 \| 19 \| None row 17 : 17 \| 42 \| dean ellison \| ducati 999rs \| 22 \| +1:30.184 \| 21 \| None row 18 : 18 \| 36 \| jiri drazdak \| yamaha yzf-r1 \| 21 \| +1 lap \| 20 \| None row 19 : ret \| 55 \| regis laconi \| kawasaki zx-10r \| 16 \| retirement \| 9 \| None row 20 : ret \| 84 \| michel fabrizio \| honda cbr1000rr \| 5 \| retirement \| 13 \| None ] Execute this SQL based on the above table: select max ( points ) - min ( points )	24.0
[ header: game \| date \| visitor \| score \| home \| decision \| attendance \| record \| points row 1 : 34 \| january 3 \| ny rangers \| 2 - 4 \| philadelphia \| parent \| 17007 \| 22-8-4 \| 48 row 2 : 35 \| january 5 \| philadelphia \| 3 - 3 \| minnesota \| parent \| 15296 \| 22-8-5 \| 49 row 3 : 36 \| january 7 \| philadelphia \| 1 - 2 \| montreal \| parent \| 19040 \| 22-9-5 \| 49 row 4 : 37 \| january 10 \| minnesota \| 4 - 7 \| philadelphia \| parent \| 17007 \| 23-9-5 \| 51 row 5 : 38 \| january 11 \| philadelphia \| 7 - 6 \| atlanta \| taylor \| 5141 \| 24-9-5 \| 53 row 6 : 39 \| january 13 \| atlanta \| 0 - 1 \| philadelphia \| parent \| 17007 \| 25-9-5 \| 55 row 7 : 40 \| january 17 \| buffalo \| 2 - 7 \| philadelphia \| parent \| 17007 \| 26-9-5 \| 57 row 8 : 41 \| january 19 \| los angeles \| 0 - 2 \| philadelphia \| parent \| 17007 \| 27-9-5 \| 59 row 9 : 42 \| january 20 \| pittsburgh \| 5 - 3 \| philadelphia \| parent \| 17007 \| 27-10-5 \| 59 row 10 : 43 \| january 22 \| philadelphia \| 3 - 2 \| vancouver \| taylor \| 15570 \| 28-10-5 \| 61 row 11 : 44 \| january 24 \| philadelphia \| 4 - 4 \| los angeles \| parent \| 14343 \| 28-10-6 \| 62 row 12 : 45 \| january 25 \| philadelphia \| 5 - 0 \| california \| parent \| 10776 \| 29-10-6 \| 64 row 13 : 46 \| january 27 \| philadelphia \| 3 - 5 \| boston \| taylor \| 15003 \| 29-11-6 \| 64 row 14 : 47 \| january 31 \| buffalo \| 3 - 4 \| philadelphia \| parent \| 17007 \| 30-11-6 \| 66 ] Execute this SQL based on the above table: select min ( game )	34.0
[ header: position \| driver / passenger \| equipment \| points \| wins \| second \| third row 1 : 1 \| daniel willemsen \| zabel-vmc \| 375 \| 15 \| None \| None row 2 : 2 \| jan hendrickx / \| zabel-vmc \| 286 \| None \| 2 \| 7 row 3 : 3 \| kristers sergis / \| ktm-mefo \| 242 \| 1 \| 8 \| 1 row 4 : 4 \| andy burgler / martin \| ktm-vmc \| 196 \| None \| None \| 2 row 5 : 5 \| vaclav rozehnal / mare \| zabel-vmc \| 191 \| None \| None \| None row 6 : 6 \| maris rupeiks / har \| ktm-ayr \| 184 \| None \| 4 \| 1 row 7 : 7 \| marco happich / meinrad \| zabel-vmc \| 180 \| None \| 1 \| 1 row 8 : 8 \| joris hendrickx / \| ktm-ayr \| 177 \| None \| None \| 1 row 9 : 9 \| tomas cermak / ond \| jawa-mefo \| 153 \| None \| None \| None row 10 : 10 \| janis daiders / la \| ktm-ayr \| 148 \| None \| None \| None ] Execute this SQL based on the above table: select ( select driver / passenger where equipment = 'jawa-mefo' ) < ( select driver / passenger where equipment = 'jawa-mefo' )	0
[ header: team 1 \| agg. \| team 2 \| 1st leg \| 2nd leg row 1 : uniao da madeira \| 2-5 \| maritimo \| 2-3 \| 0-2 row 2 : penafiel \| 2-1 \| academica \| 1-1 \| 1-0 row 3 : santa clara \| 3-2 \| uniao de leiria \| 3-1 \| 0-1 row 4 : naval \| 3-4 \| vitoria de setubal \| 1-2 \| 2-2 row 5 : moreirense \| 4-3 \| beira-mar \| 2-2 \| 2-1 row 6 : portimonense \| 2-2(5-4p) \| feirense \| 1-0 \| 1-2 row 7 : estoril \| 4-3 \| olhanense \| 4-3 \| 0-0 row 8 : belenenses \| 2-3 \| gil vicente \| 2-1 \| 0-2 ] Execute this SQL based on the above table: select abs ( 1st leg - 1st leg ) where 2nd leg = '2-1'	0
[ header: location \| building \| year \| km \| monument row 1 : bischofsheim \| station building \| 1958 \| 8.25 \| row 2 : russelsheim \| linesmen house \| 1863 \| 12.8 \| row 3 : raunheim \| station building \| 1863 \| 15.87 \| row 4 : raunheim \| linesmen house \| 1863 \| 17.39 \| row 5 : kelsterbach \| rail bridge \| 1863 \| 21.75 \| row 6 : kelsterbach \| linesmen house \| 1863 \| 23.6 \| row 7 : kelsterbach \| station building \| 1863 \| 23.81 \| row 8 : stadion \| station building \| 1879 \| 31.37 \| row 9 : niederrad \| station building \| 1882 \| 33.19 \| row 10 : sachsenhausen \| rail bridge \| 1864 \| 34.47 \| ] Execute this SQL based on the above table: select count ( * )	10
[ header: # \| stadium \| capacity \| city \| home team row 1 : 1 \| windsor park \| 24734 \| belfast \| linfield, northern ireland row 2 : 2 \| the oval \| 15000 \| belfast \| glentoran row 3 : 3= \| ballymena showgrounds \| 8000 \| ballymena \| ballymena united row 4 : 3= \| new grosvenor stadium \| 8000 \| ballyskeagh \| lisburn distillery row 5 : 3= \| shamrock park \| 8000 \| portadown \| portadown row 6 : 6 \| brandywell stadium \| 7700 \| derry \| derry city row 7 : 7= \| seaview \| 6500 \| belfast \| crusaders row 8 : 7= \| the showgrounds \| 6500 \| coleraine \| coleraine row 9 : 7= \| the showgrounds \| 6500 \| newry \| newry city row 10 : 10= \| inver park \| 6000 \| larne \| larne row 11 : 10= \| solitude \| 6000 \| belfast \| cliftonville row 12 : 10= \| taylors avenue \| 6000 \| carrickfergus \| carrick rangers row 13 : 13 \| dixon park \| 5333 \| ballyclare \| ballyclare comrades row 14 : 14 \| mourneview park \| 5000 \| lurgan \| glenavon row 15 : 15 \| donegal celtic park \| 4200 \| belfast \| donegal celtic row 16 : 16= \| holm park \| 3000 \| armagh \| armagh city row 17 : 16= \| lakeview park \| 3000 \| loughgall \| loughgall row 18 : 16= \| ymca grounds \| 3000 \| drumahoe \| institute row 19 : 16= \| stangmore park \| 3000 \| dungannon \| dungannon swifts row 20 : 16= \| tillysburn park \| 3000 \| belfast \| harland & wolff welder row 21 : 21 \| clandeboye park \| 2850 \| bangor \| bangor, ards row 22 : 22 \| wilgar park \| 2500 \| belfast \| dundela row 23 : 23= \| allen park \| 2000 \| antrim \| chimney corner row 24 : 23= \| ferney park \| 2000 \| ballinamallard \| ballinamallard united row 25 : 23= \| hagan park \| 2000 \| coagh \| coagh united row 26 : 23= \| mill meadow \| 2000 \| castledawson \| wakehurst, moyola park row 27 : 23= \| riada stadium \| 2000 \| ballymoney \| glebe rangers, ballymoney row 28 : 28= \| crystal park \| 1500 \| banbridge \| banbridge town row 29 : 28= \| fortwilliam park \| 1500 \| tobermore \| tobermore united row 30 : 28= \| newforge lane \| 1500 \| belfast \| psni row 31 : 28= \| the showgrounds (limavady) \| 1500 \| limavady \| limavady united row 32 : 32 \| tandragee road \| 1250 \| portadown \| annagh united row 33 : 33 \| darragh park \| 1200 \| castlederg \| dergview row 34 : 34= \| knockrammer park \| 1000 \| lurgan \| lurgan celtic row 35 : 34= \| mid ulster sports arena \| 1000 \| cookstown \| killymoon rangers row 36 : 36 \| seahaven \| 500 \| portstewart \| portstewart row 37 : 37 \| glen road heights \| 400 \| belfast \| sport & leisure swifts row 38 : 38 \| upper braniel \| 300 \| belfast \| knockbreda row 39 : 39 \| milltown playing fields \| 280 \| warrenpoint \| warrenpoint town row 40 : None \| upper malone \| None \| belfast \| queen's university ] Execute this SQL based on the above table: select stadium order by capacity desc limit 1	windsor park
[ header: weapon name \| caliber (mm) \| range (max) \| warhead row 1 : m-8 \| 82 mm \| 5,900 m (6,500 yd \| 0.64 kg (1.4 lb) row 2 : m-13 \| 132 mm \| 8,740 m (9,560 \| 4.9 kg (11 lb) row 3 : m-13dd \| 132 mm \| 11,800 m (12,900 yd \| 4.9 kg (11 lb) row 4 : m-13uk \| 132 mm \| 7,900 m (8,600 yd \| 4.9 kg (11 lb) row 5 : m-20 \| 132 mm \| 5,050 m (5,520 y \| 18.4 kg (41 lb) row 6 : m-30 \| 300 mm \| 2,800 m (3,100 yd \| 28.9 kg (64 lb) row 7 : m-31 \| 300 mm \| 4,325 m (4,730 \| 28.9 kg (64 lb) row 8 : m-31uk \| 300 mm \| 4,000 m (4,400 yd \| 28.9 kg (64 lb) ] Execute this SQL based on the above table: select count ( * ) where weapon name = 'm-20'	1
[ header: number \| builder \| type \| date \| works number \| notes row 1 : 51 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74408 \| acquired new 1949, retired 1970/wrecke row 2 : 52 \| baldwin locomotive works \| ds4-4-750 \| 1949 \| 74409 \| acquired new 1949, retired in 1970 and scrapped row 3 : 53 \| baldwin locomotive works \| ds4-4-1000 \| 1949 \| 74193 \| ex-pan american engineering w8380; row 4 : 54 \| baldwin locomotive works \| s-12 \| 1952/1953 \| 75823 \| ex-nw (3307); n row 5 : 55 \| baldwin locomotive works \| rs-12 \| 1955 \| 76024 \| decorated for the united states bicentennial row 6 : 56 \| baldwin locomotive works \| rs-12 \| 1955 \| 76105 \| nee mr 33, acquired row 7 : 57 \| baldwin locomotive works \| s-12 \| 1953 \| 75914 \| nee sp 1539, row 8 : 61 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 9 : 62 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. status unknown row 10 : 63 \| american locomotive works \| rs-11 \| 1979 \| None \| former sp. sold to nv row 11 : 64 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3411. operational and in row 12 : 65 \| electro-motive diesel \| gp9m \| 1987 \| None \| former sp # 3412. operational row 13 : 66 \| electro-motive diesel \| gp9m \| 1956 \| None \| former c&o # 6145. acquired row 14 : 67 \| electro-motive diesel \| gp9m \| 6/1954 \| 19554 \| built as bangor and aroosto row 15 : m-80 \| mack \| railbus \| 1923 \| None \| purchased 1925. wrecked twice: in 1957 row 16 : m-100 \| edwards rail car company \| motor car \| 1925 \| None \| acquired from moorhead & north fork row 17 : m-200 \| ss&iw \| motor car \| 1927 \| None \| ex-trc #22; n row 18 : m-300 \| american car and foundry company \| motor car \| 1935 \| None \| m-300 at fort bragg ex ] Execute this SQL based on the above table: select count ( * ) where number = 51	1
[ header: year \| single \| peak chart positions at \| peak chart positions uk \| peak chart positions u.s. dance \| peak chart positions u.s. rock \| peak chart positions ger \| peak chart positions sui \| peak chart positions ned \| peak chart positions swe \| album row 1 : 1988 / 89 \| "bring me edelweiss" \| 1 \| 5 \| 7 \| 24 \| 2 \| 1 \| 2 \| 1 \| singles only row 2 : 1989 \| "i can't get no... edel \| None \| None \| None \| None \| None \| None \| None \| None \| singles only row 3 : 1992 \| "raumschiff edelweiss" / \| 1 \| None \| None \| None \| 7 \| 8 \| 19 \| 25 \| wonderful world of edelweiss row 4 : 1992 \| "planet edelweiss" \| 14 \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 5 : 1993 \| "beam me up" \| None \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 6 : 1993 \| "ski instructor" \| None \| None \| None \| None \| None \| None \| None \| None \| wonderful world of edelweiss row 7 : 1997 \| "edeltaler hochzeitsmarsch ( \| None \| None \| None \| None \| None \| None \| None \| None \| singles only row 8 : 2001 \| "bring me edelweiss" ( \| None \| None \| None \| None \| None \| None \| None \| None \| singles only ] Execute this SQL based on the above table: select album where single = '"beam me up"' and single = '"beam me up"'	wonderful world of edelweiss
[ header: \| name \| date \| location \| county \| description row 1 : 1 \| diamond head \| None \| honolulu \| oahu \| state monument row 2 : 2 \| i'ao valley \| None \| wailuku \| maui \| state monument row 3 : 3 \| kanaha pond \| june 1971 \| kahului \| maui \| bird sanctuary row 4 : 4 \| koʻolau range pali \| None \| None \| oahu \| None row 5 : 5 \| makalawena marsh \| june 1972 \| north kona \| hawaiʻi \| bird sanctuary row 6 : 6 \| mauna kea \| november 1972 \| saddle road \| hawaiʻi \| u.s. state high point row 7 : 7 \| north shore cliffs \| december 1972 \| molokaʻi \| maui \| None ] Execute this SQL based on the above table: select location where name = 'makalawena marsh'	north kona
[ header: date \| opponent# \| rank# \| site \| result \| attendance row 1 : september 11 \| baylor \| #14 \| ohio stadium • columbus \| w 21-14 \| 88622 row 2 : september 18 \| at michigan state \| #12 \| spartan stadium • east lans \| w 31-10 \| 73483 row 3 : september 25 \| stanford \| #13 \| ohio stadium • columbus \| l 20-23 \| 89436 row 4 : october 2 \| florida state \| None \| ohio stadium • columbus \| l 17-34 \| 89491 row 5 : october 9 \| wisconsin \| None \| ohio stadium • columbus \| l 0-6 \| 88344 row 6 : october 16 \| at #15 illinois \| None \| memorial stadium • champaign, il \| w 26-21 \| 73488 row 7 : october 23 \| at indiana \| None \| memorial stadium • bloomington, in \| w 49-25 \| 52,04 row 8 : october 30 \| purdue \| None \| ohio stadium • columbus \| w 38-6 \| 89341 row 9 : november 6 \| minnesota \| None \| ohio stadium • columbus \| w 35-10 \| 87666 row 10 : november 13 \| at northwestern \| None \| dyche stadium • evanston \| w 40-28 \| 30074 row 11 : november 20 \| #13 michigan \| None \| ohio stadium • columbus \| w 24-14 \| 90252 row 12 : december 17 \| vs. byu \| #17 \| jack murphy stadium • san die \| w 47-17 \| 52533 ] Execute this SQL based on the above table: select site where id = ( select id where site = 'ohio stadium • columbus, oh' ) + 1	spartan stadium • east lansing, mi
[ header: city \| country \| airport \| begin \| end row 1 : aberdeen \| united kingdom \| aberdeen airport \| 1999 \| None row 2 : alesund \| norway \| alesund airport, vigra \| 1971 \| None row 3 : alta \| norway \| alta airport \| 1974 \| None row 4 : batsfjord \| norway \| batsfjord airport \| 1999 \| None row 5 : bodø \| norway \| bodø airport \| 1968 \| None row 6 : brønnøysund \| norway \| brønnøysund airport, \| 1968 \| None row 7 : fagernes \| norway \| fagernes airport, leirin \| 1999 \| 2000 row 8 : florø \| norway \| florø airport \| 1971 \| None row 9 : førde \| norway \| førde airport, bringel \| 1986 \| None row 10 : førde \| norway \| førde airport, øy \| 1971 \| 1986 row 11 : glasgow \| united kingdom \| glasgow international airport \| 1997 \| 1999 row 12 : gothenburg \| sweden \| gothenburg-landvetter airport \| 1996 \| None row 13 : hammerfest \| norway \| hammerfest airport \| 1974 \| None row 14 : haugesund \| norway \| haugesund airport, karmø \| 2010 \| None row 15 : harstad/narvik \| norway \| harstad/narvik airport, \| 1975 \| None row 16 : kirkenes \| norway \| kirkenes airport, hø \| 1974 \| None row 17 : kristiansand \| norway \| kristiansand airport, kje \| 1991 \| None row 18 : lakselv \| norway \| lakselv airport, banak \| 1974 \| None row 19 : leknes \| norway \| leknes airport \| 1972 \| None row 20 : lerwick \| united kingdom \| sumburgh airport \| 1995 \| 2005 row 21 : london \| united kingdom \| london stansted airport \| 1989 \| 1992 row 22 : molde \| norway \| molde airport, arø \| 1972 \| None row 23 : murmansk \| russia \| murmansk airport \| 1994 \| 2000 row 24 : narvik \| norway \| narvik airport, framnes \| 1975 \| None row 25 : namsos \| norway \| namsos airport, hø \| 1968 \| None row 26 : newcastle \| united kingdom \| newcastle airport \| 2006 \| None row 27 : ørland \| norway \| ørland airport \| 1971 \| 1987 row 28 : ørsta/volda \| norway \| ørsta-volda airport, \| 1971 \| None row 29 : oslo \| norway \| oslo airport, forne \| 1974 \| 1998 row 30 : oslo \| norway \| oslo airport, gardermo \| 1998 \| None row 31 : rønne \| denmark \| bornholm airport \| 2007 \| None row 32 : sandefjord \| norway \| sandefjord airport, to \| 1989 \| None row 33 : sandnessjøen \| norway \| sandnessjøen airport, \| 1968 \| None row 34 : sogndal \| norway \| sogndal airport, haukas \| 1971 \| None row 35 : stavanger \| norway \| stavanger airport, sola \| 1989 \| None row 36 : svolvær \| norway \| svolvær airport, helle \| 1972 \| None row 37 : tromsø \| norway \| tromsø airport \| 1974 \| None row 38 : umea \| sweden \| umea airport \| 1995 \| 1995 ] Execute this SQL based on the above table: select end where begin >= 1968	2000, 1986, 1999, 2005, 1992, 2000, 1987, 1998, 1995
[ header: year \| film title \| genre \| cast \| notes row 1 : 1988 \| tarka \| a murder mystery \| shankar nag, devaraj \| filmfare award for best director - kann row 2 : 1990 \| utkarsha \| thriller \| dr.ambareesh, \| None row 3 : 1991 \| sangarsha \| thriller \| dr.vishnuvard \| None row 4 : 1994 \| nishkarsha \| real time thriller \| dr.vishnuvard \| karnataka state film award for best row 5 : 1996 \| beladingala baale \| love story \| ananth nag \| filmfare award for best director - kann row 6 : 1997 \| nammoora mandara hoove \| love story \| ramesh aravind, \| karnataka state film award for best row 7 : 1998 \| prema raaga haadu \| love story \| shivrajkumar, nive \| None row 8 : 1999 \| pratyartha \| thriller \| ramesh aravind, \| None row 9 : 2000 \| sparsha \| love story \| sudeep, sudha rani \| filmfare award for best director - kann row 10 : 2001 \| parva \| a musical love story \| dr.vishnuvard \| None row 11 : 2002 \| marma \| suspense thriller \| prema \| None row 12 : 2006 \| ramya chaitrakaal \| a village love story \| sandeep, nanditha \| None row 13 : 2007 \| kshana kshana \| a suspense thriller \| dr.vishnuvard \| None row 14 : 2011 \| sarigama \| romance \| prajwal devaraj, sunil \| filming row 15 : 2013 \| tanana tandanan \| drama \| ramesh aravind, \| filming ] Execute this SQL based on the above table: select count ( notes ) where genre is null	0